B9AI108_CA2.ipynb

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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "Name: Kanchika Sudhirkumar Kapoor\n",
        "\n",
        "Email Id: 10621287@mydbs.ie\n",
        "\n",
        "Colab Link: https://colab.research.google.com/drive/1gdmtz4r5WuluAC3S8SC9zC0Lm-tiiGtj"
      ],
      "metadata": {
        "id": "_qnGDYzJeOie"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "Primary objective: To design and develop a Data Acquisition and Preprocessing Pipeline.\n",
        "\n",
        "You are required to develop a Data Acquisition and Preprocessing Pipeline of your choice, including data acquisition (API, Web scraping, DB Extract etc.), Extraction of features and Transformations as appropriate, followed by loading into an appropriate database. The focus of the complexity of the pipeline is your choice.\n",
        "\n",
        "Use Git (e.g. GitHub / Colab) and commit/pin version regularly.\n",
        "\n",
        "    GitHub/GitLab/Colab MUST be used for this project to develop both the artefact and documentation, and any code or material uploaded as a fait accompli will not be credited. Furthermore, any such code not attributed or presented contrary to its originating licence will be the subject of Academic Impropriety investigations.\n",
        "    If using Colab, it must be shared with paul.laird@dbs.ie as editor, and documentation should be as text cells in line with the code. If using Git, documentation must be in the form of a text document (README.md / HTML / LaTeX) inside the git repository, and the repository must be public or shared with paul-laird\n",
        "    The repository must be regularly active from week 7.\n",
        "\n",
        "Demonstration will be on Tuesday Wk 12, with submission on the Sunday beforehand\n",
        "\n",
        "Implementation 70%\n",
        "\n",
        "Documentation 30%\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "VFC2JHKfelOW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data Source:\n",
        "The data which is used for this assessment is from following page:\n",
        "\n",
        "https://ycharts.com/events/calendar/#/?date=2022-11-29&pageNum=1&eventGroups=earnings,dividends,splits_spinoffs,other&securitylistName=all_stocks&securityGroup=company&viewMode=week\n",
        "\n",
        "It lists all the quarterly earning calls and results by various companies during a given date range\n",
        "\n",
        "Requests library is used for fetching data, Pandas is used for data wrangling and SQLalchemy is used for connecting and storing the data in sql database\n",
        "\n",
        "First, we install necessary packages and import various modules"
      ],
      "metadata": {
        "id": "w5jHl0ESevgL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%%sh\n",
        "curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -\n",
        "curl https://packages.microsoft.com/config/ubuntu/18.04/prod.list > /etc/apt/sources.list.d/mssql-release.list\n",
        "sudo apt-get update\n",
        "sudo ACCEPT_EULA=Y apt-get -q -y install msodbcsql17"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L_KQ7AdOirKn",
        "outputId": "5d8468cd-5a4c-4b86-a8b2-7d075c1dfaa8"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "OK\n",
            "Hit:1 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
            "Hit:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease\n",
            "Hit:3 https://packages.microsoft.com/ubuntu/18.04/prod bionic InRelease\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [83.3 kB]\n",
            "Get:6 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
            "Ign:7 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
            "Hit:8 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
            "Hit:9 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n",
            "Hit:10 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease\n",
            "Hit:11 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
            "Hit:12 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n",
            "Hit:14 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
            "Fetched 261 kB in 1s (292 kB/s)\n",
            "Reading package lists...\n",
            "Reading package lists...\n",
            "Building dependency tree...\n",
            "Reading state information...\n",
            "msodbcsql17 is already the newest version (17.10.2.1-1).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "0 upgraded, 0 newly installed, 0 to remove and 7 not upgraded.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "\r  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r100   983  100   983    0     0  15359      0 --:--:-- --:--:-- --:--:-- 15359\n",
            "Warning: apt-key output should not be parsed (stdout is not a terminal)\n",
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "\r  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r100    77  100    77    0     0   2750      0 --:--:-- --:--:-- --:--:--  2750\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pypyodbc"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EekKbELIhBSM",
        "outputId": "581123fa-7918-473b-e1d2-887f68fb2d17"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: pypyodbc in /usr/local/lib/python3.8/dist-packages (1.3.6)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (from pypyodbc) (57.4.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "from io import StringIO\n",
        "import pandas as pd\n",
        "import json\n",
        "from urllib.parse import urlencode"
      ],
      "metadata": {
        "id": "WsPaQIrMfb9_"
      },
      "execution_count": 68,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Here, the url is specified and the `GET` request is used. This block is to check and observe the data"
      ],
      "metadata": {
        "id": "x1cQd9E9fxDN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "url = 'https://ycharts.com/events/events_data/json?date=11/01/2021&startDate=11/25/2022&endDate=12/01/2022&pageNum=5&eventGroups=earnings,dividends,splits_spinoffs,other&securitylistName=all_stocks&securityGroup=company&sort=asc'\n",
        "\n",
        "header = {'Accept': 'application/json',\n",
        "          'Content':'application/json',\n",
        "          'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:107.0) Gecko/20100101 Firefox/107.0'\n",
        "          }\n",
        "r = requests.get(url, headers=header)\n",
        "r.content"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D3E8hrZuf5V-",
        "outputId": "237b75a1-82cc-4058-d7a7-2afa84c4db25"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "b'{\"events\": [{\"description\": \"0.236 Normal dividend, declared October 14, 2021 and paid November 15, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"O\", \"security_name\": \"Realty Income Corp\", \"security_url\": \"/companies/O\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.2360000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/15/2021\", \"declared_date_fmtd\": \"10/14/2021\"}}, {\"description\": \"0.70 Normal dividend, declared October 20, 2021 and paid November 09, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"OMF\", \"security_name\": \"OneMain Holdings Inc\", \"security_url\": \"/companies/OMF\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.7000000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/09/2021\", \"declared_date_fmtd\": \"10/20/2021\"}}, {\"description\": \"0.08 Normal dividend, declared October 21, 2021 and paid November 09, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"PTBS\", \"security_name\": \"Potomac Bancshares Inc\", \"security_url\": \"/companies/PTBS\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.0800000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/09/2021\", \"declared_date_fmtd\": \"10/21/2021\"}}, {\"description\": \"0.315 Normal dividend, declared October 22, 2021 and paid November 16, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"RCBC\", \"security_name\": \"River City Bank\", \"security_url\": \"/companies/RCBC\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.3150000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/16/2021\", \"declared_date_fmtd\": \"10/22/2021\"}}, {\"description\": \"0.3096 Special dividend, declared October 18, 2021 and paid December 02, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"REKO.V\", \"security_name\": \"Reko International Group Inc\", \"security_url\": \"/companies/REKO.V\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.3095725000, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"12/02/2021\", \"declared_date_fmtd\": \"10/18/2021\"}}, {\"description\": \"0.25 Special dividend, declared October 18, 2021 and paid December 02, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"RKIGF\", \"security_name\": \"Reko International Group Inc\", \"security_url\": \"/companies/RKIGF\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.2500000000, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"12/02/2021\", \"declared_date_fmtd\": \"10/18/2021\"}}, {\"description\": \"0.325 Normal dividend, declared October 21, 2021 and paid November 09, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"SPH\", \"security_name\": \"Suburban Propane Partners LP\", \"security_url\": \"/companies/SPH\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.3250000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/09/2021\", \"declared_date_fmtd\": \"10/21/2021\"}}, {\"description\": \"0.31 Normal dividend, declared October 21, 2021 and paid November 12, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"SRCE\", \"security_name\": \"1st Source Corp\", \"security_url\": \"/companies/SRCE\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.3100000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/12/2021\", \"declared_date_fmtd\": \"10/21/2021\"}}, {\"description\": \"0.57 Normal dividend, declared October 22, 2021 and paid November 15, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"TMP\", \"security_name\": \"Tompkins Financial Corp\", \"security_url\": \"/companies/TMP\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.5700000000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/15/2021\", \"declared_date_fmtd\": \"10/22/2021\"}}, {\"description\": \"0.0358 Normal dividend, declared September 13, 2021 and paid November 12, 2021\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"dividends\", \"event_subgroup_display\": \"Dividends\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"WSR\", \"security_name\": \"Whitestone REIT\", \"security_url\": \"/companies/WSR\", \"currency_code\": \"USD\", \"extra\": {\"amount\": 0.0358330000, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/01/2021\", \"pay_date_fmtd\": \"11/12/2021\", \"declared_date_fmtd\": \"09/13/2021\"}}, {\"description\": \"1 to 10 Split\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"splits\", \"event_subgroup_display\": \"Splits\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"BHHKF\", \"security_name\": \"Craftport Cannabis Corp\", \"security_url\": \"/companies/BHHKF\", \"extra\": {\"ratio\": \"1:10\"}}, {\"description\": \"1 to 10 Split\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": null, \"event_subgroup\": \"splits\", \"event_subgroup_display\": \"Splits\", \"event_time_fmtd\": null, \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"CFT.CX\", \"security_name\": \"Craftport Cannabis Corp\", \"security_url\": \"/companies/CFT.CX\", \"extra\": {\"ratio\": \"1:10\"}}, {\"description\": \"2021 Annual General Meeting\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": 1635771600000, \"event_subgroup\": \"agm\", \"event_subgroup_display\": \"AGM\", \"event_time_fmtd\": \"09:00 EST\", \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"MTNB\", \"security_name\": \"Matinas BioPharma Holdings Inc\", \"security_url\": \"/companies/MTNB\", \"extra\": {\"fiscal_quarter\": null, \"fiscal_year\": 2021, \"estimate_data\": null}}, {\"description\": \"2021 Annual General Meeting\", \"event_date\": \"2021-11-01\", \"event_date_fmtd\": \"11/01/2021\", \"event_date_js\": 1635724800000.0, \"event_datetime_utc_js\": 1635771600000, \"event_subgroup\": \"agm\", \"event_subgroup_display\": \"AGM\", \"event_time_fmtd\": \"09:00 EST\", \"is_today_or_later\": false, \"is_estimate\": false, \"security_id\": \"PAHC\", \"security_name\": \"Phibro Animal Health Corp\", \"security_url\": \"/companies/PAHC\", \"extra\": {\"fiscal_quarter\": null, \"fiscal_year\": 2021, \"estimate_data\": null}}], \"time\": \"17:44 EST\", \"paginationInfo\": {\"current_page_num\": 5, \"num_pages\": 5, \"num_items\": 214, \"start_index\": 201, \"end_index\": 214, \"next_page\": null, \"previous_page\": 4}}'"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### API Observations:\n",
        "* The data received is paginated. A loop can be used for getting all the data. This can then be appended to an array and processed further\n",
        "\n",
        "* To get data for a particular day, `date` query param is used and to get data for a range, `startDate` and `endDate` is used. If all 3 are provided, then api responds back with `date` data,i.e, date has precedance over date range.\n",
        "To get date range data, `date` param needs to be omitted\n",
        "\n",
        "* The date format used by api is in format: `MM/DD/YYYY`.\n",
        "\n",
        "* The api blocks request if no `User-Agent` is provided in headers\n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ],
      "metadata": {
        "id": "KaPNhCCMgGM7"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In following blocks, the data will be fetched using api and will be transformed to dataframe"
      ],
      "metadata": {
        "id": "lEd3EQACgLX0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def dict_to_query_params(query_params):\n",
        "  \"\"\"\n",
        "  method for dictionary to query param convertion\n",
        "  returns url encoded string\n",
        "  \"\"\"\n",
        "  return urlencode(query_params)\n",
        "\n",
        "start_date = '11/20/2022'\n",
        "end_date = '12/01/2022'\n",
        "page_num = 1\n",
        "\n",
        "params = {\n",
        "     'startDate': start_date,\n",
        "     'endDate':end_date,\n",
        "     'pageNum':page_num,\n",
        "     'eventGroups':'earnings,dividends,splits_spinoffs,other',\n",
        "     'securitylistName':'all_stocks',\n",
        "     'securityGroup':'company',\n",
        "     'sort':'asc'\n",
        "  }\n",
        "\n",
        "base_url = 'https://ycharts.com/events/events_data/json'\n",
        "\n",
        "url = base_url+'?'+dict_to_query_params(params)\n",
        "url"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "Og4lPNSGgPvq",
        "outputId": "b9908ee7-dd23-4985-df79-dd14d8335312"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'https://ycharts.com/events/events_data/json?startDate=11%2F20%2F2022&endDate=12%2F01%2F2022&pageNum=1&eventGroups=earnings%2Cdividends%2Csplits_spinoffs%2Cother&securitylistName=all_stocks&securityGroup=company&sort=asc'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_json_response(url, headers):\n",
        "  \"\"\"\n",
        "  calls the url with given headers using get\n",
        "  returns json response\n",
        "  \"\"\"\n",
        "  try:\n",
        "    resp = requests.get(url, headers=headers)\n",
        "    data = resp.json()\n",
        "    return data\n",
        "  except Exception as e:\n",
        "    print('error: '+str(e))\n",
        "\n",
        "data = get_json_response(url, header)\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "24T22kXAf6Sx",
        "outputId": "0dcc352c-a41a-4bac-a799-10f2f3deb7bf"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'events': [{'description': 'Q4 2022 Earnings Results',\n",
              "   'event_date': '2022-11-20',\n",
              "   'event_date_fmtd': '11/20/2022',\n",
              "   'event_date_js': 1668902400000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'CBBYF',\n",
              "   'security_name': 'Virgin Money UK PLC',\n",
              "   'security_url': '/companies/CBBYF',\n",
              "   'extra': {'fiscal_quarter': 'Q4',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q4 2022 Earnings Results',\n",
              "   'event_date': '2022-11-20',\n",
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              "   'security_url': '/companies/CMPGF',\n",
              "   'extra': {'fiscal_quarter': 'Q4',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q4 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'CMPGY',\n",
              "   'security_name': 'Compass Group PLC',\n",
              "   'security_url': '/companies/CMPGY',\n",
              "   'extra': {'fiscal_quarter': 'Q4',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'CPUH',\n",
              "   'security_name': 'Compute Health Acquisition Corp',\n",
              "   'security_url': '/companies/CPUH',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'CPUH.U',\n",
              "   'security_name': 'Compute Health Acquisition Corp (Unit)',\n",
              "   'security_url': '/companies/CPUH.U',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'CVU',\n",
              "   'security_name': 'CPI Aerostructures Inc',\n",
              "   'security_url': '/companies/CVU',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2023 Earnings Call',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': 1669066200000,\n",
              "   'event_subgroup': 'earnings_calls',\n",
              "   'event_subgroup_display': 'Earnings Calls',\n",
              "   'event_time_fmtd': '16:30 EST',\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DELL',\n",
              "   'security_name': 'Dell Technologies Inc',\n",
              "   'security_url': '/companies/DELL',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2023,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2023 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DELL',\n",
              "   'security_name': 'Dell Technologies Inc',\n",
              "   'security_url': '/companies/DELL',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2023,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DOYU',\n",
              "   'security_name': 'DouYu International Holdings Ltd',\n",
              "   'security_url': '/companies/DOYU',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Call',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': 1669032000000,\n",
              "   'event_subgroup': 'earnings_calls',\n",
              "   'event_subgroup_display': 'Earnings Calls',\n",
              "   'event_time_fmtd': '07:00 EST',\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DOYU',\n",
              "   'security_name': 'DouYu International Holdings Ltd',\n",
              "   'security_url': '/companies/DOYU',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q4 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DPMAY',\n",
              "   'security_name': 'Diploma PLC',\n",
              "   'security_url': '/companies/DPMAY',\n",
              "   'extra': {'fiscal_quarter': 'Q4',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Call',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': 1669039200000,\n",
              "   'event_subgroup': 'earnings_calls',\n",
              "   'event_subgroup_display': 'Earnings Calls',\n",
              "   'event_time_fmtd': '09:00 EST',\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DS',\n",
              "   'security_name': 'Drive Shack Inc',\n",
              "   'security_url': '/companies/DS',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DS',\n",
              "   'security_name': 'Drive Shack Inc',\n",
              "   'security_url': '/companies/DS',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DWAC',\n",
              "   'security_name': 'Digital World Acquisition Corp',\n",
              "   'security_url': '/companies/DWAC',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'DWACU',\n",
              "   'security_name': 'Digital World Acquisition Corp (Unit)',\n",
              "   'security_url': '/companies/DWACU',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q4 2022 Earnings Call',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': 1669066200000,\n",
              "   'event_subgroup': 'earnings_calls',\n",
              "   'event_subgroup_display': 'Earnings Calls',\n",
              "   'event_time_fmtd': '16:30 EST',\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'ENTA',\n",
              "   'security_name': 'Enanta Pharmaceuticals Inc',\n",
              "   'security_url': '/companies/ENTA',\n",
              "   'extra': {'fiscal_quarter': 'Q4',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q4 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'ENTA',\n",
              "   'security_name': 'Enanta Pharmaceuticals Inc',\n",
              "   'security_url': '/companies/ENTA',\n",
              "   'extra': {'fiscal_quarter': 'Q4',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'ERES',\n",
              "   'security_name': 'East Resources Acquisition Co',\n",
              "   'security_url': '/companies/ERES',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'ERESU',\n",
              "   'security_name': 'East Resources Acquisition Co (Unit)',\n",
              "   'security_url': '/companies/ERESU',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'FACT',\n",
              "   'security_name': 'Freedom Acquisition I Corp',\n",
              "   'security_url': '/companies/FACT',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'FACT.U',\n",
              "   'security_name': 'Freedom Acquisition I Corp (Unit)',\n",
              "   'security_url': '/companies/FACT.U',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Call',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': 1669078800000,\n",
              "   'event_subgroup': 'earnings_calls',\n",
              "   'event_subgroup_display': 'Earnings Calls',\n",
              "   'event_time_fmtd': '20:00 EST',\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'FANH',\n",
              "   'security_name': 'Fanhua Inc',\n",
              "   'security_url': '/companies/FANH',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'FANH',\n",
              "   'security_name': 'Fanhua Inc',\n",
              "   'security_url': '/companies/FANH',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}},\n",
              "  {'description': 'Q3 2022 Earnings Results',\n",
              "   'event_date': '2022-11-21',\n",
              "   'event_date_fmtd': '11/21/2022',\n",
              "   'event_date_js': 1668988800000.0,\n",
              "   'event_datetime_utc_js': None,\n",
              "   'event_subgroup': 'earnings_results',\n",
              "   'event_subgroup_display': 'Earnings Results',\n",
              "   'event_time_fmtd': None,\n",
              "   'is_today_or_later': False,\n",
              "   'is_estimate': False,\n",
              "   'security_id': 'FFIE',\n",
              "   'security_name': 'Faraday Future Intelligent Electric Inc',\n",
              "   'security_url': '/companies/FFIE',\n",
              "   'extra': {'fiscal_quarter': 'Q3',\n",
              "    'fiscal_year': 2022,\n",
              "    'estimate_data': None}}],\n",
              " 'time': '17:44 EST',\n",
              " 'paginationInfo': {'current_page_num': 1,\n",
              "  'num_pages': 34,\n",
              "  'num_items': 1664,\n",
              "  'start_index': 1,\n",
              "  'end_index': 50,\n",
              "  'next_page': 2,\n",
              "  'previous_page': None}}"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_paginated_data_arr(base_url,headers,params,data_key_name,total_pages_num,curr_page_num_key):\n",
        "  \"\"\"\n",
        "  loops till total_pages_num and fetches data for every page\n",
        "  returns a list containing all data\n",
        "  \"\"\"\n",
        "  try:\n",
        "    total_arr = []\n",
        "    for i in range(1, total_pages_num+1):\n",
        "      url = base_url + dict_to_query_params(params)\n",
        "      data = get_json_response(url, headers)[data_key_name]\n",
        "      total_arr += data \n",
        "      params[curr_page_num_key]+=1\n",
        "    return total_arr\n",
        "  except Exception as e:\n",
        "    print('error: '+str(e))\n",
        "\n",
        "total_pages = data['paginationInfo']['num_pages']\n",
        "json_data = get_paginated_data_arr(base_url+'?', header, params, 'events', total_pages, 'pageNum')"
      ],
      "metadata": {
        "id": "XQLDV3plgynm"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#check if len of ceated json data equals 'num_items' in pagination info in response\n",
        "len(json_data) == data['paginationInfo']['num_items']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xDEBfIi_hd_i",
        "outputId": "133150d0-cc6f-4461-dd11-c2256938d47c"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data Transformation:\n",
        "Convert json data to dataframe using pandas `read_json` method.\n",
        "\n",
        "Latest version of pandas requires json data to be converted into buffer of stringified json for `read_json` method to work"
      ],
      "metadata": {
        "id": "5oHAWyT8jJqv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "json_str = json.dumps(json_data) #convert dictionary to string\n",
        "json_buf = StringIO(json_str) # make string buffer\n",
        "\n",
        "df = pd.read_json(json_buf)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 835
        },
        "id": "RjFSj4IZil0F",
        "outputId": "e65dd4ad-05a6-4a09-cddf-bef93b55eee4"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      description  event_date event_date_fmtd  event_date_js  \\\n",
              "0        Q4 2022 Earnings Results  2022-11-20      11/20/2022  1668902400000   \n",
              "1        Q4 2022 Earnings Results  2022-11-20      11/20/2022  1668902400000   \n",
              "2        Q4 2022 Earnings Results  2022-11-21      11/21/2022  1668988800000   \n",
              "3           Q4 2022 Earnings Call  2022-11-21      11/21/2022  1668988800000   \n",
              "4        Q3 2022 Earnings Results  2022-11-21      11/21/2022  1668988800000   \n",
              "...                           ...         ...             ...            ...   \n",
              "1659     333333 to 10000000 Split  2022-12-01      12/01/2022  1669852800000   \n",
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              "1662       208059 to 200000 Split  2022-12-01      12/01/2022  1669852800000   \n",
              "1663  2022 Annual General Meeting  2022-12-01      12/01/2022  1669852800000   \n",
              "\n",
              "      event_datetime_utc_js    event_subgroup event_subgroup_display  \\\n",
              "0                       NaN  earnings_results       Earnings Results   \n",
              "1                       NaN  earnings_results       Earnings Results   \n",
              "2                       NaN  earnings_results       Earnings Results   \n",
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              "...                     ...               ...                    ...   \n",
              "1659                    NaN            splits                 Splits   \n",
              "1660                    NaN            splits                 Splits   \n",
              "1661                    NaN            splits                 Splits   \n",
              "1662                    NaN          spinoffs               Spinoffs   \n",
              "1663                    NaN               agm                    AGM   \n",
              "\n",
              "     event_time_fmtd  is_today_or_later  is_estimate security_id  \\\n",
              "0               None              False        False       CBBYF   \n",
              "1               None              False        False       CYBBF   \n",
              "2               None              False        False           A   \n",
              "3          16:30 EST              False        False           A   \n",
              "4               None              False        False        ACAQ   \n",
              "...              ...                ...          ...         ...   \n",
              "1659            None              False        False        TUEM   \n",
              "1660            None              False        False       VSQTF   \n",
              "1661            None              False        False      VST.CX   \n",
              "1662            None              False        False         FNF   \n",
              "1663            None              False        False       PNSPF   \n",
              "\n",
              "                         security_name       security_url  \\\n",
              "0                  Virgin Money UK PLC   /companies/CBBYF   \n",
              "1                  Virgin Money UK PLC   /companies/CYBBF   \n",
              "2             Agilent Technologies Inc       /companies/A   \n",
              "3             Agilent Technologies Inc       /companies/A   \n",
              "4     Athena Consumer Acquisition Corp    /companies/ACAQ   \n",
              "...                                ...                ...   \n",
              "1659              Tuesday Morning Corp    /companies/TUEM   \n",
              "1660   Victory Square Technologies Inc   /companies/VSQTF   \n",
              "1661   Victory Square Technologies Inc  /companies/VST.CX   \n",
              "1662   Fidelity National Financial Inc     /companies/FNF   \n",
              "1663                       Pensana PLC   /companies/PNSPF   \n",
              "\n",
              "                                                  extra currency_code  \n",
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              "...                                                 ...           ...  \n",
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              "1662                         {'ratio': '208059:200000'}           NaN  \n",
              "1663  {'fiscal_quarter': None, 'fiscal_year': 2022, ...           NaN  \n",
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              "      <td>Q4 2022 Earnings Results</td>\n",
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              "      <th>2</th>\n",
              "      <td>Q4 2022 Earnings Results</td>\n",
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              "      <td>11/21/2022</td>\n",
              "      <td>1668988800000</td>\n",
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              "      <td>2022-11-21</td>\n",
              "      <td>11/21/2022</td>\n",
              "      <td>1668988800000</td>\n",
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              "      <td>Agilent Technologies Inc</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>208059 to 200000 Split</td>\n",
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              "      <td>spinoffs</td>\n",
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              "      <td>False</td>\n",
              "      <td>FNF</td>\n",
              "      <td>Fidelity National Financial Inc</td>\n",
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          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Wrangle Data\n",
        "`event_date`,\t`event_date_fmtd`, \t`event_date_js`, `event_datetime_utc_js` columns specify the same date in different formats.\n",
        "We can retain `event_date` column and drop others"
      ],
      "metadata": {
        "id": "oe7baxKblVIZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.drop(['event_date_fmtd', 'event_date_js', 'event_datetime_utc_js'], axis=1)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 835
        },
        "id": "BFHV6actkM13",
        "outputId": "5e7bb6b4-e594-4851-b9b1-d45bd32c8b1d"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      description  event_date    event_subgroup  \\\n",
              "0        Q4 2022 Earnings Results  2022-11-20  earnings_results   \n",
              "1        Q4 2022 Earnings Results  2022-11-20  earnings_results   \n",
              "2        Q4 2022 Earnings Results  2022-11-21  earnings_results   \n",
              "3           Q4 2022 Earnings Call  2022-11-21    earnings_calls   \n",
              "4        Q3 2022 Earnings Results  2022-11-21  earnings_results   \n",
              "...                           ...         ...               ...   \n",
              "1659     333333 to 10000000 Split  2022-12-01            splits   \n",
              "1660    1546061 to 10000000 Split  2022-12-01            splits   \n",
              "1661    1546061 to 10000000 Split  2022-12-01            splits   \n",
              "1662       208059 to 200000 Split  2022-12-01          spinoffs   \n",
              "1663  2022 Annual General Meeting  2022-12-01               agm   \n",
              "\n",
              "     event_subgroup_display event_time_fmtd  is_today_or_later  is_estimate  \\\n",
              "0          Earnings Results            None              False        False   \n",
              "1          Earnings Results            None              False        False   \n",
              "2          Earnings Results            None              False        False   \n",
              "3            Earnings Calls       16:30 EST              False        False   \n",
              "4          Earnings Results            None              False        False   \n",
              "...                     ...             ...                ...          ...   \n",
              "1659                 Splits            None              False        False   \n",
              "1660                 Splits            None              False        False   \n",
              "1661                 Splits            None              False        False   \n",
              "1662               Spinoffs            None              False        False   \n",
              "1663                    AGM            None              False        False   \n",
              "\n",
              "     security_id                     security_name       security_url  \\\n",
              "0          CBBYF               Virgin Money UK PLC   /companies/CBBYF   \n",
              "1          CYBBF               Virgin Money UK PLC   /companies/CYBBF   \n",
              "2              A          Agilent Technologies Inc       /companies/A   \n",
              "3              A          Agilent Technologies Inc       /companies/A   \n",
              "4           ACAQ  Athena Consumer Acquisition Corp    /companies/ACAQ   \n",
              "...          ...                               ...                ...   \n",
              "1659        TUEM              Tuesday Morning Corp    /companies/TUEM   \n",
              "1660       VSQTF   Victory Square Technologies Inc   /companies/VSQTF   \n",
              "1661      VST.CX   Victory Square Technologies Inc  /companies/VST.CX   \n",
              "1662         FNF   Fidelity National Financial Inc     /companies/FNF   \n",
              "1663       PNSPF                       Pensana PLC   /companies/PNSPF   \n",
              "\n",
              "                                                  extra currency_code  \n",
              "0     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...           NaN  \n",
              "1     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...           NaN  \n",
              "2     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...           NaN  \n",
              "3     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...           NaN  \n",
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              "      <td>Earnings Results</td>\n",
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              "      <td>Earnings Results</td>\n",
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              "      <td>Tuesday Morning Corp</td>\n",
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              "      <th>1660</th>\n",
              "      <td>1546061 to 10000000 Split</td>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>splits</td>\n",
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              "      <td>NaN</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`event_time_fmtd` and `currency_code` seems to have high number of `None` and `NaN` values"
      ],
      "metadata": {
        "id": "weqN6_txq59Z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.event_time_fmtd.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n_wFdT9Yrcqz",
        "outputId": "25d3ddc9-3d16-448c-d5e1-ef143cdef4a2"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1441"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.currency_code.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CrPb1weWredS",
        "outputId": "0c932808-3b10-4a46-ac75-354d94196d0c"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "711"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "From above, we can drop event_time_fmtd column since its missing large amount of data and fill NaN in currency_code column with 'Unknown' text"
      ],
      "metadata": {
        "id": "4z8w4efmr0Gj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.drop(['event_time_fmtd'], axis=1)\n",
        "df.currency_code = df.currency_code.fillna('Unknown')\n",
        "# print rows with unknown currency code\n",
        "df.loc[df.currency_code=='Unknown']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 835
        },
        "id": "94VKKRRYsWVH",
        "outputId": "1cde123b-4185-44cf-c363-a78bdb9571a6"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                      description  event_date    event_subgroup  \\\n",
              "0        Q4 2022 Earnings Results  2022-11-20  earnings_results   \n",
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              "1659     333333 to 10000000 Split  2022-12-01            splits   \n",
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              "     event_subgroup_display  is_today_or_later  is_estimate security_id  \\\n",
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              "1659                 Splits              False        False        TUEM   \n",
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              "1662               Spinoffs              False        False         FNF   \n",
              "1663                    AGM              False        False       PNSPF   \n",
              "\n",
              "                         security_name       security_url  \\\n",
              "0                  Virgin Money UK PLC   /companies/CBBYF   \n",
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              "4     Athena Consumer Acquisition Corp    /companies/ACAQ   \n",
              "...                                ...                ...   \n",
              "1659              Tuesday Morning Corp    /companies/TUEM   \n",
              "1660   Victory Square Technologies Inc   /companies/VSQTF   \n",
              "1661   Victory Square Technologies Inc  /companies/VST.CX   \n",
              "1662   Fidelity National Financial Inc     /companies/FNF   \n",
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              "\n",
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              "3     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...       Unknown  \n",
              "4     {'fiscal_quarter': 'Q3', 'fiscal_year': 2022, ...       Unknown  \n",
              "...                                                 ...           ...  \n",
              "1659                       {'ratio': '333333:10000000'}       Unknown  \n",
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              "1661                      {'ratio': '1546061:10000000'}       Unknown  \n",
              "1662                         {'ratio': '208059:200000'}       Unknown  \n",
              "1663  {'fiscal_quarter': None, 'fiscal_year': 2022, ...       Unknown  \n",
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              "      <td>2022-11-21</td>\n",
              "      <td>earnings_results</td>\n",
              "      <td>Earnings Results</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>A</td>\n",
              "      <td>Agilent Technologies Inc</td>\n",
              "      <td>/companies/A</td>\n",
              "      <td>{'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Q4 2022 Earnings Call</td>\n",
              "      <td>2022-11-21</td>\n",
              "      <td>earnings_calls</td>\n",
              "      <td>Earnings Calls</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>A</td>\n",
              "      <td>Agilent Technologies Inc</td>\n",
              "      <td>/companies/A</td>\n",
              "      <td>{'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Q3 2022 Earnings Results</td>\n",
              "      <td>2022-11-21</td>\n",
              "      <td>earnings_results</td>\n",
              "      <td>Earnings Results</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>ACAQ</td>\n",
              "      <td>Athena Consumer Acquisition Corp</td>\n",
              "      <td>/companies/ACAQ</td>\n",
              "      <td>{'fiscal_quarter': 'Q3', 'fiscal_year': 2022, ...</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1659</th>\n",
              "      <td>333333 to 10000000 Split</td>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>splits</td>\n",
              "      <td>Splits</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>TUEM</td>\n",
              "      <td>Tuesday Morning Corp</td>\n",
              "      <td>/companies/TUEM</td>\n",
              "      <td>{'ratio': '333333:10000000'}</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1660</th>\n",
              "      <td>1546061 to 10000000 Split</td>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>splits</td>\n",
              "      <td>Splits</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>VSQTF</td>\n",
              "      <td>Victory Square Technologies Inc</td>\n",
              "      <td>/companies/VSQTF</td>\n",
              "      <td>{'ratio': '1546061:10000000'}</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1661</th>\n",
              "      <td>1546061 to 10000000 Split</td>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>splits</td>\n",
              "      <td>Splits</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>VST.CX</td>\n",
              "      <td>Victory Square Technologies Inc</td>\n",
              "      <td>/companies/VST.CX</td>\n",
              "      <td>{'ratio': '1546061:10000000'}</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1662</th>\n",
              "      <td>208059 to 200000 Split</td>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>spinoffs</td>\n",
              "      <td>Spinoffs</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>FNF</td>\n",
              "      <td>Fidelity National Financial Inc</td>\n",
              "      <td>/companies/FNF</td>\n",
              "      <td>{'ratio': '208059:200000'}</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1663</th>\n",
              "      <td>2022 Annual General Meeting</td>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>agm</td>\n",
              "      <td>AGM</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>PNSPF</td>\n",
              "      <td>Pensana PLC</td>\n",
              "      <td>/companies/PNSPF</td>\n",
              "      <td>{'fiscal_quarter': None, 'fiscal_year': 2022, ...</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>711 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d99b0da2-1b98-4365-aeca-933ca3870e2a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d99b0da2-1b98-4365-aeca-933ca3870e2a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d99b0da2-1b98-4365-aeca-933ca3870e2a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.currency_code.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jbk3JcFYnorD",
        "outputId": "ba6bee99-7a9b-40d6-d932-bead65addcf4"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Unknown', 'USD', 'SEK', 'EUR', 'MXN', 'MYR', 'AUD', 'CAD', 'PHP',\n",
              "       'ILS', 'SGD', 'HKD', 'ZAR', 'DKK', 'NZD', 'GBP', 'IDR', 'THB',\n",
              "       'NOK', 'JPY', 'CZK'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.is_estimate.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eXwhaAuFn__k",
        "outputId": "c97fff6d-7ddf-4d2b-9ec6-2f753850f8db"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False    1663\n",
              "True        1\n",
              "Name: is_estimate, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fiKYNhk1tUrZ",
        "outputId": "19e514d4-b5f6-4580-a416-1f1fd939e45f"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1664 entries, 0 to 1663\n",
            "Data columns (total 11 columns):\n",
            " #   Column                  Non-Null Count  Dtype \n",
            "---  ------                  --------------  ----- \n",
            " 0   description             1664 non-null   object\n",
            " 1   event_date              1664 non-null   object\n",
            " 2   event_subgroup          1664 non-null   object\n",
            " 3   event_subgroup_display  1664 non-null   object\n",
            " 4   is_today_or_later       1664 non-null   bool  \n",
            " 5   is_estimate             1664 non-null   bool  \n",
            " 6   security_id             1664 non-null   object\n",
            " 7   security_name           1664 non-null   object\n",
            " 8   security_url            1664 non-null   object\n",
            " 9   extra                   1664 non-null   object\n",
            " 10  currency_code           1664 non-null   object\n",
            "dtypes: bool(2), object(9)\n",
            "memory usage: 120.4+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`extra` column has dictionary data. Here, we are trying to find pattern in that data."
      ],
      "metadata": {
        "id": "frymF2XCt-RY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.extra"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HMbJ7shutrKK",
        "outputId": "286536e0-91ac-4626-8ee9-091ee0cabaeb"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...\n",
              "1       {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...\n",
              "2       {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...\n",
              "3       {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...\n",
              "4       {'fiscal_quarter': 'Q3', 'fiscal_year': 2022, ...\n",
              "                              ...                        \n",
              "1659                         {'ratio': '333333:10000000'}\n",
              "1660                        {'ratio': '1546061:10000000'}\n",
              "1661                        {'ratio': '1546061:10000000'}\n",
              "1662                           {'ratio': '208059:200000'}\n",
              "1663    {'fiscal_quarter': None, 'fiscal_year': 2022, ...\n",
              "Name: extra, Length: 1664, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The json data in `extras` column doesn't have common keys across all the data. We can further check if this json data is repeated/reused somewhere in dataframe"
      ],
      "metadata": {
        "id": "9umM6HJ9gZeI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WLgQ_ScSwD4_",
        "outputId": "603dd1a9-577c-45d9-bc06-9aa893223092"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['description', 'event_date', 'event_subgroup', 'event_subgroup_display',\n",
              "       'is_today_or_later', 'is_estimate', 'security_id', 'security_name',\n",
              "       'security_url', 'extra', 'currency_code'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[['description', 'extra']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "A9ugyi8mxWzr",
        "outputId": "eb82dc23-5727-44b4-b17c-491156818784"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      description  \\\n",
              "0        Q4 2022 Earnings Results   \n",
              "1        Q4 2022 Earnings Results   \n",
              "2        Q4 2022 Earnings Results   \n",
              "3           Q4 2022 Earnings Call   \n",
              "4        Q3 2022 Earnings Results   \n",
              "...                           ...   \n",
              "1659     333333 to 10000000 Split   \n",
              "1660    1546061 to 10000000 Split   \n",
              "1661    1546061 to 10000000 Split   \n",
              "1662       208059 to 200000 Split   \n",
              "1663  2022 Annual General Meeting   \n",
              "\n",
              "                                                  extra  \n",
              "0     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...  \n",
              "1     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...  \n",
              "2     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...  \n",
              "3     {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...  \n",
              "4     {'fiscal_quarter': 'Q3', 'fiscal_year': 2022, ...  \n",
              "...                                                 ...  \n",
              "1659                       {'ratio': '333333:10000000'}  \n",
              "1660                      {'ratio': '1546061:10000000'}  \n",
              "1661                      {'ratio': '1546061:10000000'}  \n",
              "1662                         {'ratio': '208059:200000'}  \n",
              "1663  {'fiscal_quarter': None, 'fiscal_year': 2022, ...  \n",
              "\n",
              "[1664 rows x 2 columns]"
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              "      <th>0</th>\n",
              "      <td>Q4 2022 Earnings Results</td>\n",
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              "      <td>Q4 2022 Earnings Results</td>\n",
              "      <td>{'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Q4 2022 Earnings Results</td>\n",
              "      <td>{'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Q4 2022 Earnings Call</td>\n",
              "      <td>{'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Q3 2022 Earnings Results</td>\n",
              "      <td>{'fiscal_quarter': 'Q3', 'fiscal_year': 2022, ...</td>\n",
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              "      <th>1659</th>\n",
              "      <td>333333 to 10000000 Split</td>\n",
              "      <td>{'ratio': '333333:10000000'}</td>\n",
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              "      <th>1660</th>\n",
              "      <td>1546061 to 10000000 Split</td>\n",
              "      <td>{'ratio': '1546061:10000000'}</td>\n",
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              "    <tr>\n",
              "      <th>1661</th>\n",
              "      <td>1546061 to 10000000 Split</td>\n",
              "      <td>{'ratio': '1546061:10000000'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1662</th>\n",
              "      <td>208059 to 200000 Split</td>\n",
              "      <td>{'ratio': '208059:200000'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1663</th>\n",
              "      <td>2022 Annual General Meeting</td>\n",
              "      <td>{'fiscal_quarter': None, 'fiscal_year': 2022, ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1664 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-be2871c1-cb4c-4e4a-851b-e69a8dc1e77e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "It is observed that the json data in `extras` column is used to create text for `description`. We can safely drop one of the 2 columns.\n",
        "\n",
        "It is preferrred to retain `extras` column as it can be used to get better insights by storing it in json field in sql compared to a `description` string"
      ],
      "metadata": {
        "id": "PwGpNA6sc9mD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.drop(['description'], axis=1)"
      ],
      "metadata": {
        "id": "Q9yyEUeQxi1P"
      },
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 641
        },
        "id": "3_53IkxTg_Qf",
        "outputId": "52a42a97-b5fd-4f6b-cf97-6b5f2e58f26b"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      event_date    event_subgroup event_subgroup_display  is_today_or_later  \\\n",
              "0     2022-11-20  earnings_results       Earnings Results              False   \n",
              "1     2022-11-20  earnings_results       Earnings Results              False   \n",
              "2     2022-11-21  earnings_results       Earnings Results              False   \n",
              "3     2022-11-21    earnings_calls         Earnings Calls              False   \n",
              "4     2022-11-21  earnings_results       Earnings Results              False   \n",
              "...          ...               ...                    ...                ...   \n",
              "1659  2022-12-01            splits                 Splits              False   \n",
              "1660  2022-12-01            splits                 Splits              False   \n",
              "1661  2022-12-01            splits                 Splits              False   \n",
              "1662  2022-12-01          spinoffs               Spinoffs              False   \n",
              "1663  2022-12-01               agm                    AGM              False   \n",
              "\n",
              "      is_estimate security_id                     security_name  \\\n",
              "0           False       CBBYF               Virgin Money UK PLC   \n",
              "1           False       CYBBF               Virgin Money UK PLC   \n",
              "2           False           A          Agilent Technologies Inc   \n",
              "3           False           A          Agilent Technologies Inc   \n",
              "4           False        ACAQ  Athena Consumer Acquisition Corp   \n",
              "...           ...         ...                               ...   \n",
              "1659        False        TUEM              Tuesday Morning Corp   \n",
              "1660        False       VSQTF   Victory Square Technologies Inc   \n",
              "1661        False      VST.CX   Victory Square Technologies Inc   \n",
              "1662        False         FNF   Fidelity National Financial Inc   \n",
              "1663        False       PNSPF                       Pensana PLC   \n",
              "\n",
              "           security_url                                              extra  \\\n",
              "0      /companies/CBBYF  {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...   \n",
              "1      /companies/CYBBF  {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...   \n",
              "2          /companies/A  {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...   \n",
              "3          /companies/A  {'fiscal_quarter': 'Q4', 'fiscal_year': 2022, ...   \n",
              "4       /companies/ACAQ  {'fiscal_quarter': 'Q3', 'fiscal_year': 2022, ...   \n",
              "...                 ...                                                ...   \n",
              "1659    /companies/TUEM                       {'ratio': '333333:10000000'}   \n",
              "1660   /companies/VSQTF                      {'ratio': '1546061:10000000'}   \n",
              "1661  /companies/VST.CX                      {'ratio': '1546061:10000000'}   \n",
              "1662     /companies/FNF                         {'ratio': '208059:200000'}   \n",
              "1663   /companies/PNSPF  {'fiscal_quarter': None, 'fiscal_year': 2022, ...   \n",
              "\n",
              "     currency_code  \n",
              "0          Unknown  \n",
              "1          Unknown  \n",
              "2          Unknown  \n",
              "3          Unknown  \n",
              "4          Unknown  \n",
              "...            ...  \n",
              "1659       Unknown  \n",
              "1660       Unknown  \n",
              "1661       Unknown  \n",
              "1662       Unknown  \n",
              "1663       Unknown  \n",
              "\n",
              "[1664 rows x 10 columns]"
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              "      <th>4</th>\n",
              "      <td>2022-11-21</td>\n",
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              "      <td>Tuesday Morning Corp</td>\n",
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              "      <td>{'ratio': '1546061:10000000'}</td>\n",
              "      <td>Unknown</td>\n",
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              "      <th>1661</th>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>splits</td>\n",
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              "      <td>VST.CX</td>\n",
              "      <td>Victory Square Technologies Inc</td>\n",
              "      <td>/companies/VST.CX</td>\n",
              "      <td>{'ratio': '1546061:10000000'}</td>\n",
              "      <td>Unknown</td>\n",
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              "    <tr>\n",
              "      <th>1662</th>\n",
              "      <td>2022-12-01</td>\n",
              "      <td>spinoffs</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>Fidelity National Financial Inc</td>\n",
              "      <td>/companies/FNF</td>\n",
              "      <td>{'ratio': '208059:200000'}</td>\n",
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              "</table>\n",
              "<p>1664 rows × 10 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d243bee7-cb86-46e9-9ace-3bd260d37246')\"\n",
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              "  </svg>\n",
              "      </button>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-d243bee7-cb86-46e9-9ace-3bd260d37246 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d243bee7-cb86-46e9-9ace-3bd260d37246');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# check if any null data present in dataframe\n",
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RTHnaWw6hXMv",
        "outputId": "6bbd42c1-1719-4c67-eecf-b1e76aa030b4"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "event_date                0\n",
              "event_subgroup            0\n",
              "event_subgroup_display    0\n",
              "is_today_or_later         0\n",
              "is_estimate               0\n",
              "security_id               0\n",
              "security_name             0\n",
              "security_url              0\n",
              "extra                     0\n",
              "currency_code             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The above data suitable for storing in a database now with null values and unwanted columns removed\n",
        "\n",
        "### Push Dataframe data to MS SQL\n",
        "* We can use the dataframe column names and datatype to construct a schema\n",
        "* Query for insert can be created by looping over data. This way we can insert  bulk data at once instead of connecting for every write to database\n",
        "* The database is setup and hosted on azure virtual machine. Connection is made using pypyodbc library"
      ],
      "metadata": {
        "id": "TJsEZ_b__0VO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pypyodbc\n",
        "\n",
        "# Connect to remote instance and create a database called `Events`\n",
        "\n",
        "def get_db_connection(host, port, username, password, database):\n",
        "  connection = pypyodbc.connect('Driver={ODBC Driver 17 for SQL Server};'\n",
        "    'Server='+host+','+port+';'\n",
        "    'Database='+database+';'\n",
        "    'encrypt=yes;'\n",
        "    'TrustServerCertificate=yes;'\n",
        "    'UID='+username+';'\n",
        "    'PWD='+password+';',autocommit = True)\n",
        "  return connection\n",
        "\n",
        "conn = get_db_connection('20.101.66.12','1433','sa','admin@1234','master')\n",
        "try:\n",
        "  cursor = conn.cursor()\n",
        "  SQLCommand = (\"CREATE DATABASE Events;\")\n",
        "  cursor.execute(SQLCommand)\n",
        "  print('done')\n",
        "except Exception as e:\n",
        "  print('Error: '+str(e))"
      ],
      "metadata": {
        "id": "2SRrg541hkb4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5464acb0-4f1a-45c9-f123-a05de4b5c972"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "done\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Create new table `events_table` for storing the records"
      ],
      "metadata": {
        "id": "blNMDLBMZ-hN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "try:\n",
        "  conn = get_db_connection('20.101.66.12','1433','sa','admin@1234','Events')\n",
        "\n",
        "  cursor = conn.cursor()\n",
        "  cmd = \"\"\"create table events_table ( \n",
        "  event_date                Date,\n",
        "  event_subgroup            varchar(255),\n",
        "  event_subgroup_display    varchar(255),\n",
        "  is_today_or_later         varchar(255),\n",
        "  is_estimate               varchar(255),\n",
        "  security_id               varchar(255),\n",
        "  security_name             varchar(255),\n",
        "  security_url              varchar(255),\n",
        "  extra                     nvarchar(max),\n",
        "  currency_code             varchar(255)\n",
        "  )\"\"\"\n",
        "\n",
        "  cursor.execute(cmd)\n",
        "  print('created table events_table')\n",
        "except Exception as e:\n",
        "  print('error: ',str(e))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9ASWWym3g0Yq",
        "outputId": "b036086c-3f41-43f0-b4a6-9249deb9b9a3"
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "created table events_table\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "we can add a constraint for JSON column so that validation happens everytime any data is added to json column"
      ],
      "metadata": {
        "id": "kQIST5OiwNMQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cmd=\"\"\"\n",
        "alter table events_table\n",
        "    add constraint [extra record should be formatted as JSON]\n",
        "                   check (ISJSON(extra)=1)\n",
        "\"\"\"\n",
        "cursor.execute(cmd)"
      ],
      "metadata": {
        "id": "UvxLG3jwwMWW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "393e4157-327f-4735-a9d6-dbf7a8aca14a"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pypyodbc.Cursor at 0x7f7960f62130>"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Prepare data for inserts:**\n",
        "\n",
        "* Max Limit of `inserts` that is allowed by MSSql is 1000 per query. So, the dataframe needs to be split into chunks of 1000 or less\n",
        "* The boolean and object type columns needs to be converted to string before inserting to database otherwise the database throws programming error\n",
        "\n",
        "In following steps, the dataframe is split into chunks and inserted to database using `insert` query"
      ],
      "metadata": {
        "id": "20P_GZfuaYIV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def get_chunked_dataframe(max_row_count, dataframe):\n",
        "  \"\"\"\n",
        "  split dataframe into n parts based on max_row_count\n",
        "  returns list of dataframes\n",
        "  \"\"\"\n",
        "  arr=[]\n",
        "  chunk_size = round(len(dataframe)/max_row_count)\n",
        "  for i in range(chunk_size):\n",
        "    arr.append(dataframe[i*max_row_count:max_row_count*(i+1)])\n",
        "  return arr\n",
        "\n",
        "# transform object columns to str\n",
        "df.is_estimate = df.is_estimate.astype(str)\n",
        "df.is_today_or_later = df.is_today_or_later.astype(str)\n",
        "\n",
        "# stringify json\n",
        "df.extra = df.extra.apply(lambda x: json.dumps(x))\n",
        "\n",
        "# remove single quotes from security_name column\n",
        "df.security_name = df.security_name.apply(lambda x: x.replace(\"'\",\"\"))\n",
        "\n",
        "\n",
        "chunked_df = get_chunked_dataframe(1000, df)\n",
        "\n",
        "# loop over list of dataframes. for eg: if 2000 rows are present \n",
        "# in dataframe and max limit is 1000, it will loop twice\n",
        "\n",
        "for dataframe in chunked_df:\n",
        "  # convert dataframe rows into tuple list for insert query\n",
        "  data_tupl_list = list(dataframe.to_records(index=False))\n",
        "  # join list entries to single string for insert query\n",
        "  val_str = ','.join([str(i) for i in data_tupl_list])\n",
        "  print(val_str)\n",
        "\n",
        "  cmd = 'insert into events_table values '+val_str\n",
        "\n",
        "  cursor.execute(cmd)\n",
        "\n",
        "print('all entries added to database')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ew8l6uYIbh4T",
        "outputId": "7b7444ac-97ad-4805-fe26-95fce4ff6166"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "('2022-11-20', 'earnings_results', 'Earnings Results', 'False', 'False', 'CBBYF', 'Virgin Money UK PLC', '/companies/CBBYF', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-20', 'earnings_results', 'Earnings Results', 'False', 'False', 'CYBBF', 'Virgin Money UK PLC', '/companies/CYBBF', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'A', 'Agilent Technologies Inc', '/companies/A', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'A', 'Agilent Technologies Inc', '/companies/A', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'ACAQ', 'Athena Consumer Acquisition Corp', '/companies/ACAQ', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'ACAQ.U', 'Athena Consumer Acquisition Corp (Unit)', '/companies/ACAQ.U', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'ADRT', 'Ault Disruptive Technologies Corp', '/companies/ADRT', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'AFAQ', 'AF Acquisition Corp', '/companies/AFAQ', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'AFAQU', 'AF Acquisition Corp (Unit)', '/companies/AFAQU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'AFYA', 'Afya Ltd', '/companies/AFYA', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'AFYA', 'Afya Ltd', '/companies/AFYA', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'API', 'Agora Inc', '/companies/API', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'API', 'Agora Inc', '/companies/API', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'APMI', 'AxonPrime Infrastructure Acquisition Corp', '/companies/APMI', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'APMIU', 'AxonPrime Infrastructure Acquisition Corp (Unit)', '/companies/APMIU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'BLUA', 'BlueRiver Acquisition Corp', '/companies/BLUA', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'BLUA.U', 'BlueRiver Acquisition Corp (Unit)', '/companies/BLUA.U', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'BYLOF', 'Big Yellow Group PLC', '/companies/BYLOF', '{\"fiscal_quarter\": \"Q2\", \"fiscal_year\": 2023, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CANB', 'Can B Corp', '/companies/CANB', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CENQ', 'CENAQ Energy Corp', '/companies/CENQ', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CENQU', 'CENAQ Energy Corp (Unit)', '/companies/CENQU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CENT', 'Central Garden & Pet Co', '/companies/CENT', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'CENT', 'Central Garden & Pet Co', '/companies/CENT', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CENTA', 'Central Garden & Pet Co', '/companies/CENTA', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'CENTA', 'Central Garden & Pet Co', '/companies/CENTA', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CLAA', 'Colonnade Acquisition Corp II', '/companies/CLAA', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CLAA.U', 'Colonnade Acquisition Corp II (Unit)', '/companies/CLAA.U', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CMPGF', 'Compass Group PLC', '/companies/CMPGF', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CMPGY', 'Compass Group PLC', '/companies/CMPGY', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CPUH', 'Compute Health Acquisition Corp', '/companies/CPUH', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CPUH.U', 'Compute Health Acquisition Corp (Unit)', '/companies/CPUH.U', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'CVU', 'CPI Aerostructures Inc', '/companies/CVU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'DELL', 'Dell Technologies Inc', '/companies/DELL', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2023, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'DELL', 'Dell Technologies Inc', '/companies/DELL', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2023, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'DOYU', 'DouYu International Holdings Ltd', '/companies/DOYU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'DOYU', 'DouYu International Holdings Ltd', '/companies/DOYU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'DPMAY', 'Diploma PLC', '/companies/DPMAY', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'DS', 'Drive Shack Inc', '/companies/DS', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'DS', 'Drive Shack Inc', '/companies/DS', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'DWAC', 'Digital World Acquisition Corp', '/companies/DWAC', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'DWACU', 'Digital World Acquisition Corp (Unit)', '/companies/DWACU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'ENTA', 'Enanta Pharmaceuticals Inc', '/companies/ENTA', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'ENTA', 'Enanta Pharmaceuticals Inc', '/companies/ENTA', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'ERES', 'East Resources Acquisition Co', '/companies/ERES', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'ERESU', 'East Resources Acquisition Co (Unit)', '/companies/ERESU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FACT', 'Freedom Acquisition I Corp', '/companies/FACT', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FACT.U', 'Freedom Acquisition I Corp (Unit)', '/companies/FACT.U', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'FANH', 'Fanhua Inc', '/companies/FANH', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FANH', 'Fanhua Inc', '/companies/FANH', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FFIE', 'Faraday Future Intelligent Electric Inc', '/companies/FFIE', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FOXO', 'FOXO Technologies Inc', '/companies/FOXO', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FTFT', 'Future FinTech Group Inc', '/companies/FTFT', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'FUTU', 'Futu Holdings Ltd', '/companies/FUTU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'FUTU', 'Futu Holdings Ltd', '/companies/FUTU', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'GASS', 'StealthGas Inc', '/companies/GASS', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'GASS', 'StealthGas Inc', '/companies/GASS', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'GBDC', 'Golub Capital BDC Inc', '/companies/GBDC', '{\"fiscal_quarter\": \"Q4\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'GDS', 'GDS Holdings Ltd', '/companies/GDS', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'GDS', 'GDS Holdings Ltd', '/companies/GDS', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'GRWXF', 'Molten Ventures PLC', '/companies/GRWXF', '{\"fiscal_quarter\": \"Q2\", \"fiscal_year\": 2023, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'HALYY', 'Halyk Savings Bank of Kazakhstan JSC', '/companies/HALYY', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'HFIAF', 'Hafnia Ltd', '/companies/HFIAF', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_calls', 'Earnings Calls', 'False', 'False', 'HFIAF', 'Hafnia Ltd', '/companies/HFIAF', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown'),('2022-11-21', 'earnings_results', 'Earnings Results', 'False', 'False', 'IMAQ', 'International Media Acquisition Corp', '/companies/IMAQ', '{\"fiscal_quarter\": \"Q3\", \"fiscal_year\": 2022, 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'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CBCYB', 'Central Bancompany', '/companies/CBCYB', '{\"amount\": 1.85, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/01/2022\", \"declared_date_fmtd\": \"11/16/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CBCYB', 'Central Bancompany', '/companies/CBCYB', '{\"amount\": 3.6, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/01/2022\", \"declared_date_fmtd\": \"11/16/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CBT', 'Cabot Corp', '/companies/CBT', '{\"amount\": 0.37, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CBYDF', 'Corby Spirit and Wine Ltd', '/companies/CBYDF', '{\"amount\": 0.16462159999999998, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/09/2022\"}', 'CAD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CDW', 'CDW Corp', '/companies/CDW', '{\"amount\": 0.59, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/02/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CHYHY', 'Chr. Hansen Holding A/S', '/companies/CHYHY', '{\"amount\": 0.2473368, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/05/2022\", \"declared_date_fmtd\": \"10/12/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CICOY', 'COSCO SHIPPING Holdings Co Ltd', '/companies/CICOY', '{\"amount\": 1.391388, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"01/09/2023\", \"declared_date_fmtd\": \"10/20/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CNAF', 'Commercial National Financial Corp (PA)', '/companies/CNAF', '{\"amount\": 0.26, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/02/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CPBLF', 'ALS Ltd', '/companies/CPBLF', '{\"amount\": 0.1349138, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/14/2022\"}', 'AUD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CRBBF', 'Corby Spirit and Wine Ltd', '/companies/CRBBF', '{\"amount\": 0.16462159999999998, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/09/2022\"}', 'CAD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'CRTSF', 'Chr. Hansen Holding A/S', '/companies/CRTSF', '{\"amount\": 0.9756383999999999, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"11/28/2022\", \"declared_date_fmtd\": \"10/12/2022\"}', 'DKK'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'DHIL', 'Diamond Hill Investment Group Inc', '/companies/DHIL', '{\"amount\": 1.5, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"10/26/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'DHIL', 'Diamond Hill Investment Group Inc', '/companies/DHIL', '{\"amount\": 4.0, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"10/26/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'EDESY', 'Elders Ltd', '/companies/EDESY', '{\"amount\": 0.9356200000000001, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"01/03/2023\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'EVEOF', 'Embark Education Ltd', '/companies/EVEOF', '{\"amount\": 0.0215425, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/08/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'NZD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'EVR', 'Evercore Inc', '/companies/EVR', '{\"amount\": 0.72, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"10/25/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'EXSR', 'Exchange Bank Santa Rosa', '/companies/EXSR', '{\"amount\": 1.25, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'FBHS', 'Fortune Brands Home & Security Inc', '/companies/FBHS', '{\"amount\": 0.28, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/14/2022\", \"declared_date_fmtd\": \"09/29/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'FBP', 'First BanCorp', '/companies/FBP', '{\"amount\": 0.12, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"10/28/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'FGROY', 'FirstGroup PLC', '/companies/FGROY', '{\"amount\": 0.010600199999999999, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"01/05/2023\", \"declared_date_fmtd\": \"11/14/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'FINGF', 'Finning International Inc', '/companies/FINGF', '{\"amount\": 0.17659408000000001, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/08/2022\", \"declared_date_fmtd\": \"11/07/2022\"}', 'CAD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'FTT.TO', 'Finning International Inc', '/companies/FTT.TO', '{\"amount\": 0.23600000000000002, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/08/2022\", \"declared_date_fmtd\": \"11/07/2022\"}', 'CAD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GBTKF', 'Globetronics Technology Bhd', '/companies/GBTKF', '{\"amount\": 0.00218699, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/07/2022\", \"declared_date_fmtd\": \"11/01/2022\"}', 'MYR'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GBTKF', 'Globetronics Technology Bhd', '/companies/GBTKF', '{\"amount\": 0.00218699, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/07/2022\", \"declared_date_fmtd\": \"11/01/2022\"}', 'MYR'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GMBXF', 'Grupo Mexico SAB de CV', '/companies/GMBXF', '{\"amount\": 0.038564999999999995, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"11/25/2022\", \"declared_date_fmtd\": \"11/09/2022\"}', 'MXN'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GMXTF', 'GMecxico Transportes SA de CV', '/companies/GMXTF', '{\"amount\": 0.025710000000000004, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"11/25/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'MXN'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GPEAF', 'Great Portland Estates PLC', '/companies/GPEAF', '{\"amount\": 0.05589193, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"01/04/2023\", \"declared_date_fmtd\": \"11/17/2022\"}', 'GBP'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GRBMF', 'Grupo Bimbo SAB de CV', '/companies/GRBMF', '{\"amount\": 0.033423, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"11/28/2022\", \"declared_date_fmtd\": \"11/03/2022\"}', 'MXN'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GRIN', 'Grindrod Shipping Holdings Ltd', '/companies/GRIN', '{\"amount\": 5.0, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": null, \"declared_date_fmtd\": \"08/29/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GTMEF', 'Globe Telecom Inc', '/companies/GTMEF', '{\"amount\": 0.43595000000000006, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/11/2022\"}', 'PHP'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'GTMEY', 'Globe Telecom Inc', '/companies/GTMEY', '{\"amount\": 0.436986, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/27/2022\", \"declared_date_fmtd\": \"11/14/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'HFBK', 'Harford Bank', '/companies/HFBK', '{\"amount\": 0.2, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/23/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'HII', 'Huntington Ingalls Industries Inc', '/companies/HII', '{\"amount\": 1.24, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/02/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'HL', 'Hecla Mining Co', '/companies/HL', '{\"amount\": 0.0037500000000000003, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/07/2022\", \"declared_date_fmtd\": \"11/09/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'IMBBY', 'Imperial Brands PLC', '/companies/IMBBY', '{\"amount\": 0.5829033, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/30/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'KHC', 'The Kraft Heinz Co', '/companies/KHC', '{\"amount\": 0.4, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/30/2022\", \"declared_date_fmtd\": \"10/25/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'KLIB', 'Killbuck Bancshares Inc', '/companies/KLIB', '{\"amount\": 1.9500000000000002, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/14/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'KOP', 'Koppers Holdings Inc', '/companies/KOP', '{\"amount\": 0.05, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/12/2022\", \"declared_date_fmtd\": \"11/04/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'LNETF', 'PT Link Net Tbk', '/companies/LNETF', '{\"amount\": 193.05, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/02/2022\", \"declared_date_fmtd\": \"11/17/2022\"}', 'IDR'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'MATV', 'Mativ Holdings Inc', '/companies/MATV', '{\"amount\": 0.4, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/09/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'MCS', 'Marcus Corp', '/companies/MCS', '{\"amount\": 0.05, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/03/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'MFBP', 'M & F Bancorp Inc', '/companies/MFBP', '{\"amount\": 0.03, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/14/2022\", \"declared_date_fmtd\": \"11/08/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NBHC', 'National Bank Holdings Corp', '/companies/NBHC', '{\"amount\": 0.25, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/08/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NDVLY', 'New World Development Co Ltd', '/companies/NDVLY', '{\"amount\": 0.09554399999999999, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/28/2022\", \"declared_date_fmtd\": \"10/13/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NEE', 'NextEra Energy Inc', '/companies/NEE', '{\"amount\": 0.425, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"10/14/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NGG', 'National Grid PLC', '/companies/NGG', '{\"amount\": 1.0307, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"01/11/2023\", \"declared_date_fmtd\": \"11/10/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NGGTF', 'National Grid PLC', '/companies/NGGTF', '{\"amount\": 0.21215149600000002, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"01/11/2023\", \"declared_date_fmtd\": \"11/10/2022\"}', 'GBP'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NSLYF', 'Nestle Malaysia Bhd', '/companies/NSLYF', '{\"amount\": 0.15308929999999998, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"10/26/2022\"}', 'MYR'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NUFMF', 'Nufarm Ltd', '/companies/NUFMF', '{\"amount\": 0.039875999999999995, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/16/2022\"}', 'AUD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NUS', 'Nu Skin Enterprises Inc', '/companies/NUS', '{\"amount\": 0.385, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/07/2022\", \"declared_date_fmtd\": \"11/02/2022\"}', 'USD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NWSZF', 'NWS Holdings Ltd', '/companies/NWSZF', '{\"amount\": 0.03965272, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"09/30/2022\"}', 'HKD'),('2022-11-23', 'dividends', 'Dividends', 'False', 'False', 'NWWDF', 'New World Development Co Ltd', '/companies/NWWDF', '{\"amount\": 0.19186799999999998, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"11/23/2022\", \"pay_date_fmtd\": 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\"pay_date_fmtd\": \"12/22/2022\", \"declared_date_fmtd\": \"11/02/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'OTEX.TO', 'Open Text Corp', '/companies/OTEX.TO', '{\"amount\": 0.32589818800000003, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/22/2022\", \"declared_date_fmtd\": \"11/02/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'OUT', 'Outfront Media Inc', '/companies/OUT', '{\"amount\": 0.30000000000000004, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/30/2022\", \"declared_date_fmtd\": \"11/03/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'OXINF', 'Oxford Instruments PLC', '/companies/OXINF', '{\"amount\": 0.05553764, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"01/13/2023\", \"declared_date_fmtd\": \"11/08/2022\"}', 'GBP'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PAFRF', 'Pan African Resources PLC', '/companies/PAFRF', '{\"amount\": 0.010582, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/13/2022\", \"declared_date_fmtd\": \"09/14/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PAFRY', 'Pan African Resources PLC', '/companies/PAFRY', '{\"amount\": 0.20765499999999998, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/23/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PEBK', 'Peoples Bancorp of North Carolina Inc', '/companies/PEBK', '{\"amount\": 0.18, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/18/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PEP', 'PepsiCo Inc', '/companies/PEP', '{\"amount\": 1.15, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"01/06/2023\", \"declared_date_fmtd\": \"11/17/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PMD', 'Psychemedics Corp', '/companies/PMD', '{\"amount\": 0.07, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/09/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PNDLF', 'Pendal Group Ltd', '/companies/PNDLF', '{\"amount\": 0.02379755, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"02/18/2022\"}', 'AUD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PPLL', 'Peoples Ltd', '/companies/PPLL', '{\"amount\": 0.6000000000000001, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"10/27/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PRGO', 'Perrigo Co PLC', '/companies/PRGO', '{\"amount\": 0.26, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/20/2022\", \"declared_date_fmtd\": \"11/03/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'PYPTF', 'PayPoint PLC', '/companies/PYPTF', '{\"amount\": 0.11107528, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/30/2022\", \"declared_date_fmtd\": \"11/24/2022\"}', 'GBP'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SARDF', 'Sanford Ltd', '/companies/SARDF', '{\"amount\": 0.06312899999999999, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'NZD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SEE', 'Sealed Air Corp', '/companies/SEE', '{\"amount\": 0.2, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"10/18/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SID', 'Companhia Siderurgica Nacional', '/companies/SID', '{\"amount\": 0.22145, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": null, \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SLM', 'SLM Corp', '/companies/SLM', '{\"amount\": 0.11, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"10/25/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'STCPF', 'Sella Capital Real Estate Ltd', '/companies/STCPF', '{\"amount\": 0.03769974, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/13/2022\", \"declared_date_fmtd\": \"11/21/2022\"}', 'ILS'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'STRW', 'Strawberry Fields REIT Inc', '/companies/STRW', '{\"amount\": 0.1, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/20/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SU', 'Suncor Energy Inc', '/companies/SU', '{\"amount\": 0.387608, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/23/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'CAD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SU.TO', 'Suncor Energy Inc', '/companies/SU.TO', '{\"amount\": 0.52, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/23/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'CAD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'SVTRF', 'Severn Trent PLC', '/companies/SVTRF', '{\"amount\": 0.515896382, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"01/11/2023\", \"declared_date_fmtd\": \"11/22/2022\"}', 'GBP'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TAP', 'Molson Coors Beverage Co', '/companies/TAP', '{\"amount\": 0.38, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TAP.A', 'Molson Coors Beverage Co', '/companies/TAP.A', '{\"amount\": 0.38, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TGH', 'Textainer Group Holdings Ltd', '/companies/TGH', '{\"amount\": 0.25, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/01/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TGOPY', '3i Group PLC', '/companies/TGOPY', '{\"amount\": 0.137791, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"01/26/2023\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'THNOF', 'Technology One Ltd', '/companies/THNOF', '{\"amount\": 0.013598599999999999, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'AUD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'THNOF', 'Technology One Ltd', '/companies/THNOF', '{\"amount\": 0.073568426, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'AUD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TILE', 'Interface Inc', '/companies/TILE', '{\"amount\": 0.01, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TPX.A.TO', 'Molson Coors Canada Inc', '/companies/TPX.A.TO', '{\"amount\": 0.5, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'CAD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TPX.B.TO', 'Molson Coors Canada Inc', '/companies/TPX.B.TO', '{\"amount\": 0.5, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/10/2022\"}', 'CAD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TRST', 'Trustco Bank Corp N Y', '/companies/TRST', '{\"amount\": 0.36, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"01/03/2023\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'TT', 'Trane Technologies PLC', '/companies/TT', '{\"amount\": 0.67, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/30/2022\", \"declared_date_fmtd\": \"10/11/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'UBNC', 'UB Bancorp', '/companies/UBNC', '{\"amount\": 0.11, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/08/2022\", \"declared_date_fmtd\": \"10/21/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'UFCS', 'United Fire Group Inc', '/companies/UFCS', '{\"amount\": 0.16, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/18/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'UMSSF', 'UMS Holdings Ltd', '/companies/UMSSF', '{\"amount\": 0.00735592, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/11/2022\"}', 'SGD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'VDMCY', 'Vodacom Group Ltd', '/companies/VDMCY', '{\"amount\": 0.196673, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/12/2022\", \"declared_date_fmtd\": \"11/15/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'VTKLY', 'VTech Holdings Ltd', '/companies/VTKLY', '{\"amount\": 0.17, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/30/2022\", \"declared_date_fmtd\": \"11/11/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'VVV', 'Valvoline Inc', '/companies/VVV', '{\"amount\": 0.125, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/15/2022\", \"declared_date_fmtd\": \"11/21/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WHG', 'Westwood Holdings Group Inc', '/companies/WHG', '{\"amount\": 0.15, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"01/03/2023\", \"declared_date_fmtd\": \"10/26/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WM', 'Waste Management Inc', '/companies/WM', '{\"amount\": 0.65, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/08/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WSR', 'Whitestone REIT', '/companies/WSR', '{\"amount\": 0.04, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/14/2022\", \"declared_date_fmtd\": \"07/27/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WTBFA', 'WTB Financial A', '/companies/WTBFA', '{\"amount\": 3.0, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WTBFA', 'WTB Financial A', '/companies/WTBFA', '{\"amount\": 1.85, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WTBFB', 'WTB Financial A', '/companies/WTBFB', '{\"amount\": 3.0, \"dividend_type\": \"Special\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WTBFB', 'WTB Financial A', '/companies/WTBFB', '{\"amount\": 1.85, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/09/2022\", \"declared_date_fmtd\": \"11/22/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'WY', 'Weyerhaeuser Co', '/companies/WY', '{\"amount\": 0.18, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/16/2022\", \"declared_date_fmtd\": \"11/11/2022\"}', 'USD'),('2022-12-01', 'dividends', 'Dividends', 'False', 'False', 'YUGVF', 'YouGov PLC', '/companies/YUGVF', '{\"amount\": 0.0845138, \"dividend_type\": \"Normal\", \"ex_date_fmtd\": \"12/01/2022\", \"pay_date_fmtd\": \"12/12/2022\", \"declared_date_fmtd\": \"10/11/2022\"}', 'GBP'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'BXRX', 'Baudax Bio Inc', '/companies/BXRX', '{\"ratio\": \"1:40\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'CBSH', 'Commerce Bancshares Inc', '/companies/CBSH', '{\"ratio\": \"21:20\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'LARK', 'Landmark Bancorp Inc', '/companies/LARK', '{\"ratio\": \"21:20\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'PPLL', 'Peoples Ltd', '/companies/PPLL', '{\"ratio\": \"21:20\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'PTPI', 'Petros Pharmaceuticals Inc', '/companies/PTPI', '{\"ratio\": \"1:10\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'TUEM', 'Tuesday Morning Corp', '/companies/TUEM', '{\"ratio\": \"333333:10000000\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'VSQTF', 'Victory Square Technologies Inc', '/companies/VSQTF', '{\"ratio\": \"1546061:10000000\"}', 'Unknown'),('2022-12-01', 'splits', 'Splits', 'False', 'False', 'VST.CX', 'Victory Square Technologies Inc', '/companies/VST.CX', '{\"ratio\": \"1546061:10000000\"}', 'Unknown'),('2022-12-01', 'spinoffs', 'Spinoffs', 'False', 'False', 'FNF', 'Fidelity National Financial Inc', '/companies/FNF', '{\"ratio\": \"208059:200000\"}', 'Unknown'),('2022-12-01', 'agm', 'AGM', 'False', 'False', 'PNSPF', 'Pensana PLC', '/companies/PNSPF', '{\"fiscal_quarter\": null, \"fiscal_year\": 2022, \"estimate_data\": null}', 'Unknown')\n",
            "all entries added to database\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Below, the data is being fetched and being checked. We can also fetch the JSON field values individually"
      ],
      "metadata": {
        "id": "25SZon5uDToR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# check count of entries in database\n",
        "cursor.execute(\"select count(*) from events_table\")\n",
        "result = cursor.fetchall()\n",
        "print(result)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IaRk4i5WenRS",
        "outputId": "f9e56919-1ff1-4fe6-97a9-0e29c25fb3ab"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[(1664,)]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "conn = get_db_connection('20.101.66.12','1433','sa','admin@1234','Events')\n",
        "cursor = conn.cursor()\n",
        "\n",
        "# fetch json data from extra column\n",
        "cursor.execute(\"\"\"select security_name, json_value(extra, '$.fiscal_year'),\n",
        "json_value(extra, '$.fiscal_quarter')\n",
        "from events_table\n",
        "where ISJSON(extra) > 0\n",
        "  and json_value(extra, '$.fiscal_quarter') = 'Q3'\n",
        "  and  event_subgroup='earnings_results'\n",
        "order by event_date\"\"\")\n",
        "\n",
        "cursor.fetchall()"
      ],
      "metadata": {
        "id": "mrjrIstmkNoh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4af101d6-baa8-48f1-90f8-40141f60a854"
      },
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('Athena Consumer Acquisition Corp', '2022', 'Q3'),\n",
              " ('Athena Consumer Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Ault Disruptive Technologies Corp', '2022', 'Q3'),\n",
              " ('AF Acquisition Corp', '2022', 'Q3'),\n",
              " ('AF Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Afya Ltd', '2022', 'Q3'),\n",
              " ('Agora Inc', '2022', 'Q3'),\n",
              " ('AxonPrime Infrastructure Acquisition Corp', '2022', 'Q3'),\n",
              " ('AxonPrime Infrastructure Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('BlueRiver Acquisition Corp', '2022', 'Q3'),\n",
              " ('BlueRiver Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Can B Corp', '2022', 'Q3'),\n",
              " ('CENAQ Energy Corp', '2022', 'Q3'),\n",
              " ('CENAQ Energy Corp (Unit)', '2022', 'Q3'),\n",
              " ('Colonnade Acquisition Corp II', '2022', 'Q3'),\n",
              " ('Colonnade Acquisition Corp II (Unit)', '2022', 'Q3'),\n",
              " ('Compute Health Acquisition Corp', '2022', 'Q3'),\n",
              " ('Compute Health Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('CPI Aerostructures Inc', '2022', 'Q3'),\n",
              " ('Dell Technologies Inc', '2023', 'Q3'),\n",
              " ('DouYu International Holdings Ltd', '2022', 'Q3'),\n",
              " ('Drive Shack Inc', '2022', 'Q3'),\n",
              " ('Digital World Acquisition Corp', '2022', 'Q3'),\n",
              " ('Digital World Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('East Resources Acquisition Co', '2022', 'Q3'),\n",
              " ('East Resources Acquisition Co (Unit)', '2022', 'Q3'),\n",
              " ('Freedom Acquisition I Corp', '2022', 'Q3'),\n",
              " ('Freedom Acquisition I Corp (Unit)', '2022', 'Q3'),\n",
              " ('Fanhua Inc', '2022', 'Q3'),\n",
              " ('Faraday Future Intelligent Electric Inc', '2022', 'Q3'),\n",
              " ('FOXO Technologies Inc', '2022', 'Q3'),\n",
              " ('Future FinTech Group Inc', '2022', 'Q3'),\n",
              " ('Futu Holdings Ltd', '2022', 'Q3'),\n",
              " ('StealthGas Inc', '2022', 'Q3'),\n",
              " ('GDS Holdings Ltd', '2022', 'Q3'),\n",
              " ('Hafnia Ltd', '2022', 'Q3'),\n",
              " ('International Media Acquisition Corp', '2022', 'Q3'),\n",
              " ('International Media Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('InterPrivate III Financial Partners Inc', '2022', 'Q3'),\n",
              " ('InterPrivate III Financial Partners Inc (Unit)', '2022', 'Q3'),\n",
              " ('InterPrivate IV InfraTech Partners Inc', '2022', 'Q3'),\n",
              " ('InterPrivate IV InfraTech Partners Inc (Unit)', '2022', 'Q3'),\n",
              " ('Iris Acquisition Corp', '2022', 'Q3'),\n",
              " ('Iris Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Iron Spark I Inc', '2022', 'Q3'),\n",
              " ('Ituran Location and Control Ltd', '2022', 'Q3'),\n",
              " ('KL Acquisition Corp', '2022', 'Q3'),\n",
              " ('KL Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Nocturne Acquisition Corp', '2022', 'Q3'),\n",
              " ('Nocturne Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Monterey Capital Acquisition Corp', '2022', 'Q3'),\n",
              " ('Monterey Capital Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('MELI Kaszek Pioneer Corp', '2022', 'Q3'),\n",
              " ('Muliang Viagoo Technology Inc', '2022', 'Q3'),\n",
              " ('BitNile Holdings Inc', '2022', 'Q3'),\n",
              " ('Niu Technologies', '2022', 'Q3'),\n",
              " ('Noah Holdings Ltd', '2022', 'Q3'),\n",
              " ('Nutex Health Inc', '2022', 'Q3'),\n",
              " ('Project Energy Reimagined Acquisition Corp', '2022', 'Q3'),\n",
              " ('Project Energy Reimagined Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('PropertyGuru Group Ltd', '2022', 'Q3'),\n",
              " ('Peak Bio Inc', '2022', 'Q3'),\n",
              " ('PrimeEnergy Resources Corp', '2022', 'Q3'),\n",
              " ('Parabellum Acquisition Corp', '2022', 'Q3'),\n",
              " ('Parabellum Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Qudian Inc', '2022', 'Q3'),\n",
              " ('Quantum Fintech Acquisition Corp', '2022', 'Q3'),\n",
              " ('Quantum Fintech Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Aries I Acquisition Corp', '2022', 'Q3'),\n",
              " ('Aries I Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Alpine Acquisition Corp', '2022', 'Q3'),\n",
              " ('Alpine Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Summit State Bank', '2022', 'Q3'),\n",
              " ('Urban Outfitters Inc', '2023', 'Q3'),\n",
              " ('Venus Acquisition Corp', '2022', 'Q3'),\n",
              " ('Venus Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Viveon Health Acquisition Corp', '2022', 'Q3'),\n",
              " ('Viveon Health Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Welsbach Technology Metals Acquisition Corp', '2022', 'Q3'),\n",
              " ('Welsbach Technology Metals Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Zepp Health Corp', '2022', 'Q3'),\n",
              " ('Zoom Video Communications Inc', '2023', 'Q3'),\n",
              " ('ZTO Express (Cayman) Inc', '2022', 'Q3'),\n",
              " ('Autodesk Inc', '2023', 'Q3'),\n",
              " ('American Eagle Outfitters Inc', '2022', 'Q3'),\n",
              " ('Abercrombie & Fitch Co', '2022', 'Q3'),\n",
              " ('AMSC ASA', '2022', 'Q3'),\n",
              " ('Baidu Inc', '2022', 'Q3'),\n",
              " ('Best Buy Co Inc', '2023', 'Q3'),\n",
              " ('Baidu Inc', '2022', 'Q3'),\n",
              " ('Biotech Acquisition Co', '2022', 'Q3'),\n",
              " ('Biotech Acquisition Co (Unit)', '2022', 'Q3'),\n",
              " ('Burlington Stores Inc', '2023', 'Q3'),\n",
              " ('Caleres Inc', '2022', 'Q3'),\n",
              " ('Chindata Group Holdings Ltd', '2022', 'Q3'),\n",
              " ('Chicos FAS Inc', '2023', 'Q3'),\n",
              " ('CNFinance Holdings Ltd', '2022', 'Q3'),\n",
              " ('CentralNic Group PLC', '2022', 'Q3'),\n",
              " ('Core Scientific Inc', '2022', 'Q3'),\n",
              " ('Canadian Solar Inc', '2022', 'Q3'),\n",
              " ('Dicks Sporting Goods Inc', '2022', 'Q3'),\n",
              " ('Dollar Tree Inc', '2022', 'Q3'),\n",
              " ('DLTx ASA', '2022', 'Q3'),\n",
              " ('Alpha Tau Medical Ltd', '2022', 'Q3'),\n",
              " ('Dycom Industries Inc', '2023', 'Q3'),\n",
              " ('Guess? Inc', '2023', 'Q3'),\n",
              " ('Grupo Financiero Galicia SA', '2022', 'Q3'),\n",
              " ('GigInternational1 Inc', '2022', 'Q3'),\n",
              " ('GigInternational1 Inc (Unit)', '2022', 'Q3'),\n",
              " ('Gaming Technologies Inc', '2022', 'Q3'),\n",
              " ('Gaotu Techedu Inc', '2022', 'Q3'),\n",
              " ('Grupo Financiero Galicia SA', '2022', 'Q3'),\n",
              " ('iQIYI Inc', '2022', 'Q3'),\n",
              " ('Nordstrom Inc', '2023', 'Q3'),\n",
              " ('Jiya Acquisition Corp', '2022', 'Q3'),\n",
              " ('Kamada Ltd', '2022', 'Q3'),\n",
              " ('Learn CW Investment Corp', '2022', 'Q3'),\n",
              " ('Learn CW Investment Corp (Unit)', '2022', 'Q3'),\n",
              " ('Movado Group Inc', '2023', 'Q3'),\n",
              " ('Movado Group Inc', '2023', 'Q3'),\n",
              " ('Abliva AB', '2022', 'Q3'),\n",
              " ('Enphys Acquisition Corp', '2022', 'Q3'),\n",
              " ('Enphys Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Navios Maritime Holdings Inc', '2022', 'Q3'),\n",
              " ('PagSeguro Digital Ltd', '2022', 'Q3'),\n",
              " ('Progress Acquisition Corp', '2022', 'Q3'),\n",
              " ('Progress Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('ATRenew Inc', '2022', 'Q3'),\n",
              " ('Super Group (SGHC) Ltd', '2022', 'Q3'),\n",
              " ('Southern Energy Corp', '2022', 'Q3'),\n",
              " ('Southern Energy Corp', '2022', 'Q3'),\n",
              " ('Tsakos Energy Navigation Ltd', '2022', 'Q3'),\n",
              " ('VMware Inc', '2023', 'Q3'),\n",
              " ('VNET Group Inc', '2022', 'Q3'),\n",
              " ('George Weston Ltd', '2022', 'Q3'),\n",
              " ('George Weston Ltd', '2022', 'Q3'),\n",
              " ('Worldwide Webb Acquisition Corp', '2022', 'Q3'),\n",
              " ('Worldwide Webb Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Yiren Digital Ltd', '2022', 'Q3'),\n",
              " ('Yatsen Holding Ltd', '2022', 'Q3'),\n",
              " ('Banco BBVA Argentina SA', '2022', 'Q3'),\n",
              " ('Brenmiller Energy Ltd', '2022', 'Q3'),\n",
              " ('Cellnex Telecom SA', '2022', 'Q3'),\n",
              " ('Cellnex Telecom SA', '2022', 'Q3'),\n",
              " ('Cohn Robbins Holdings Corp (Unit)', '2022', 'Q3'),\n",
              " ('Cohn Robbins Holdings Corp', '2022', 'Q3'),\n",
              " ('Castor Maritime Inc', '2022', 'Q3'),\n",
              " ('Jiayin Group Inc', '2022', 'Q3'),\n",
              " ('Aurora Mobile Ltd', '2022', 'Q3'),\n",
              " ('Lufax Holding Ltd', '2022', 'Q3'),\n",
              " ('Partner Communications Co Ltd', '2022', 'Q3'),\n",
              " ('Partner Communications Co Ltd', '2022', 'Q3'),\n",
              " ('Sunlands Technology Group', '2022', 'Q3'),\n",
              " ('UP Fintech Holding Ltd', '2022', 'Q3'),\n",
              " ('Talon 1 Acquisition Corp', '2022', 'Q3'),\n",
              " ('Talon 1 Acquisition Corp (Unit)', '2022', 'Q3'),\n",
              " ('Nykode Therapeutics AS', '2022', 'Q3'),\n",
              " ('VIA optronics AG', '2022', 'Q3'),\n",
              " ('Viomi Technology Co Ltd', '2022', 'Q3'),\n",
              " ('WeTrade Group Inc', '2022', 'Q3'),\n",
              " ('Xiaomi Corp', '2022', 'Q3'),\n",
              " ('Xiaomi Corp', '2022', 'Q3'),\n",
              " ('Full Truck Alliance Co Ltd', '2022', 'Q3'),\n",
              " ('AAC Clyde Space AB', '2022', 'Q3'),\n",
              " ('Adevinta ASA', '2022', 'Q3'),\n",
              " ('Adevinta ASA', '2022', 'Q3'),\n",
              " ('Avance Gas Holding Ltd', '2022', 'Q3'),\n",
              " ('Banco Macro SA', '2022', 'Q3'),\n",
              " ('Falcon Oil & Gas Ltd', '2022', 'Q3'),\n",
              " ('Falcon Oil & Gas Ltd', '2022', 'Q3'),\n",
              " ('Golden Energy Offshore Services AS', '2022', 'Q3'),\n",
              " ('5th Planet Games AS', '2022', 'Q3'),\n",
              " ('L E Lundbergforetagen AB', '2022', 'Q3'),\n",
              " ('Rockwool AS', '2022', 'Q3'),\n",
              " ('Rockwool AS', '2022', 'Q3'),\n",
              " ('G. Willi-Food International Ltd', '2022', 'Q3'),\n",
              " ('Archer Ltd', '2022', 'Q3'),\n",
              " ('Foresight Autonomous Holdings Ltd', '2022', 'Q3'),\n",
              " ('LightInTheBox Holding Co Ltd', '2022', 'Q3'),\n",
              " ('Orron Energy AB', '2022', 'Q3'),\n",
              " ('Meituan', '2022', 'Q3'),\n",
              " ('Meituan', '2022', 'Q3'),\n",
              " ('Wicket Gaming AB', '2022', 'Q3'),\n",
              " ('Gensource Potash Corp', '2022', 'Q3'),\n",
              " ('Flora Growth Corp', '2022', 'Q3'),\n",
              " ('Gensource Potash Corp', '2022', 'Q3'),\n",
              " ('Fusion Fuel Green PLC', '2022', 'Q3'),\n",
              " ('Jinhui Shipping and Transportation Ltd', '2022', 'Q3'),\n",
              " ('Northern Ocean Ltd', '2022', 'Q3'),\n",
              " ('Pinduoduo Inc', '2022', 'Q3'),\n",
              " ('Sinclair Broadcast Group Inc', '2022', 'Q3'),\n",
              " ('Serinus Energy PLC', '2022', 'Q3'),\n",
              " ('JOYY Inc', '2022', 'Q3'),\n",
              " ('JOYY Inc', '2022', 'Q3'),\n",
              " ('Aesthetic Medical International Holdings Group Ltd', '2022', 'Q3'),\n",
              " ('Amaroq Minerals Ltd', '2022', 'Q3'),\n",
              " ('Awilco LNG ASA', '2022', 'Q3'),\n",
              " ('Arrow Exploration Corp', '2022', 'Q3'),\n",
              " ('Bilibili Inc', '2022', 'Q3'),\n",
              " ('Bilibili Inc', '2022', 'Q3'),\n",
              " ('Kanzhun Ltd', '2022', 'Q3'),\n",
              " ('Baozun Inc', '2022', 'Q3'),\n",
              " ('Cango Inc', '2022', 'Q3'),\n",
              " ('CrowdStrike Holdings Inc', '2023', 'Q3'),\n",
              " ('Arrow Exploration Corp', '2022', 'Q3'),\n",
              " ('Citi Trends Inc', '2023', 'Q3'),\n",
              " ('Elbit Systems Ltd', '2022', 'Q3'),\n",
              " ('Galantas Gold Corp', '2022', 'Q3'),\n",
              " ('Galantas Gold Corp', '2022', 'Q3'),\n",
              " ('Hibbett Inc', '2023', 'Q3'),\n",
              " ('Mkango Resources Ltd', '2022', 'Q3'),\n",
              " ('Mkango Resources Ltd', '2022', 'Q3'),\n",
              " ('RaySearch Laboratories AB', '2022', 'Q3'),\n",
              " ('Semantix Inc', '2022', 'Q3'),\n",
              " ('Tarena International Inc', '2022', 'Q3'),\n",
              " ('TH International Ltd', '2022', 'Q3'),\n",
              " ('Workday Inc', '2023', 'Q3'),\n",
              " ('Yunji Inc', '2022', 'Q3'),\n",
              " ('ATA Creativity Global', '2022', 'Q3'),\n",
              " ('Build-A-Bear Workshop Inc', '2022', 'Q3'),\n",
              " ('KE Holdings Inc', '2022', 'Q3'),\n",
              " ('Box Inc', '2023', 'Q3'),\n",
              " ('Salesforce Inc', '2023', 'Q3'),\n",
              " ('Salesforce Inc', '2023', 'Q3'),\n",
              " ('CSAM Health Group AS', '2022', 'Q3'),\n",
              " ('BRP Inc', '2023', 'Q3'),\n",
              " ('BRP Inc', '2023', 'Q3'),\n",
              " ('Five Below Inc', '2022', 'Q3'),\n",
              " ('Frontline Ltd', '2022', 'Q3'),\n",
              " ('GigaCloud Technology Inc', '2022', 'Q3'),\n",
              " ('Genius Group Ltd', '2022', 'Q3'),\n",
              " ('KNOT Offshore Partners LP', '2022', 'Q3'),\n",
              " ('Meltwater NV', '2022', 'Q3'),\n",
              " ('Nordic American Tankers Ltd', '2022', 'Q3'),\n",
              " ('Ncino Inc', '2023', 'Q3'),\n",
              " ('Okta Inc', '2023', 'Q3'),\n",
              " ('Ooma Inc', '2023', 'Q3'),\n",
              " ('Panoro Energy ASA', '2022', 'Q3'),\n",
              " ('Play Magnus AS', '2022', 'Q3'),\n",
              " ('Pure Storage Inc', '2023', 'Q3'),\n",
              " ('PVH Corp', '2022', 'Q3'),\n",
              " ('RXO Inc', '2022', 'Q3'),\n",
              " ('Seadrill Ltd', '2022', 'Q3'),\n",
              " ('Semtech Corp', '2023', 'Q3'),\n",
              " ('Snowflake Inc', '2022', 'Q3'),\n",
              " ('Splunk Inc', '2023', 'Q3'),\n",
              " ('TAT Technologies Ltd', '2022', 'Q3'),\n",
              " ('Thor Explorations Ltd', '2022', 'Q3'),\n",
              " ('Thor Explorations Ltd', '2022', 'Q3'),\n",
              " ('Titan Machinery Inc', '2023', 'Q3'),\n",
              " ('Victorias Secret & Co', '2022', 'Q3'),\n",
              " ('Petco Health and Wellness Co Inc', '2022', 'Q3'),\n",
              " ('Wyld Networks AB', '2022', 'Q3'),\n",
              " ('XPeng Inc', '2022', 'Q3'),\n",
              " ('XPeng Inc', '2022', 'Q3'),\n",
              " ('Yext Inc', '2023', 'Q3'),\n",
              " ('Zhihu Inc', '2022', 'Q3'),\n",
              " ('Arco Platform Ltd', '2022', 'Q3'),\n",
              " ('Asana Inc', '2023', 'Q3'),\n",
              " ('Big Lots Inc', '2022', 'Q3'),\n",
              " ('ChargePoint Holdings Inc', '2022', 'Q3'),\n",
              " ('CollPlant Biotechnologies Ltd', '2022', 'Q3'),\n",
              " ('Dollar General Corp', '2022', 'Q3'),\n",
              " ('Duluth Holdings Inc', '2023', 'Q3'),\n",
              " ('G-III Apparel Group Ltd', '2023', 'Q3'),\n",
              " ('Samsara Inc', '2023', 'Q3'),\n",
              " ('The Kroger Co', '2022', 'Q3'),\n",
              " ('Lands End Inc', '2022', 'Q3'),\n",
              " ('Marvell Technology Inc', '2023', 'Q3'),\n",
              " ('NeuroSense Therapeutics Ltd', '2022', 'Q3'),\n",
              " ('ObsEva SA', '2022', 'Q3'),\n",
              " ('UiPath Inc', '2023', 'Q3'),\n",
              " ('REX American Resources Corp', '2022', 'Q3'),\n",
              " ('SecureWorks Corp', '2023', 'Q3'),\n",
              " ('Seanergy Maritime Holdings Corp', '2022', 'Q3'),\n",
              " ('Smartsheet Inc', '2023', 'Q3'),\n",
              " ('ReneSola Ltd', '2022', 'Q3'),\n",
              " ('Tillys Inc', '2022', 'Q3'),\n",
              " ('Tuniu Corp', '2022', 'Q3'),\n",
              " ('Ulta Beauty Inc', '2022', 'Q3'),\n",
              " ('Veeva Systems Inc', '2023', 'Q3'),\n",
              " ('Adastra Holdings Ltd', '2022', 'Q3'),\n",
              " ('Adastra Holdings Ltd', '2022', 'Q3'),\n",
              " ('111 Inc', '2022', 'Q3'),\n",
              " ('Zumiez Inc', '2022', 'Q3')]"
            ]
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cursor.execute(\"select top 1 * from events_table where event_date='2022-12-01'\")\n",
        "data = cursor.fetchall()\n",
        "print(data)\n",
        "cursor.close()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mdDO__U1-XJV",
        "outputId": "f1682915-a198-443a-b1a2-021508d0f893"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[(datetime.date(2022, 12, 1), 'earnings_results', 'Earnings Results', 'False', 'False', 'AOUT', 'American Outdoor Brands Inc', '/companies/AOUT', '{\"fiscal_quarter\": \"Q2\", \"fiscal_year\": 2023, \"estimate_data\": null}', 'Unknown')]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# used in case re running code blocks\n",
        "# conn = get_db_connection('20.101.66.12','1433','sa','admin@1234','master')\n",
        "# cursor = conn.cursor()\n",
        "# cursor.execute('DROP database Events;')"
      ],
      "metadata": {
        "id": "EebMaQVYFCvq"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}