This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an…

Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities

Python-based NumPy & SciPy Statistical Analysis of Latitude Position vs Weather Performed on a 500+ City Data Set Created by Python CityPy & OpenWeatherMap API Representative of Weather Worldwide

Using OpenWeatherMap API, retrieve the JSON weather data from different cities. Using Matplotlib, create a series of scatter plots showing relationship between the latitude and a variety of weather parameters for over 1500 cities around the world. Perform statistical calculations on the weather parameters using linear regression to predict futur…

Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed using OpenWeatherMap API and Citypy module.

API and Weather Data visualization: Data Visualization based on weather data, vacation itinerary and vacation search

I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather data from these cities. I then added the weather data to the Panda’s dataframe. From there I used Matplotlib to create a series of scatter plots to s…

This project analyzes weather data using the Open Weather API. Demonstrates use of numpy, citipy, json, performing an API call using specific API keys, transforming API responses into a dataframe, and creating visualizations of data collected from API.

Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.

This is a python script to visualize the weather of 500+ cities across the world of varying distance from the equator.

Weather Analysis as approaching to equator.

Analyzing weather patterns with respect to latitude.

Maps visualizing relationship between weather data and hotel locations

This project is in two parts. First, WeatherPy visualizes the weather of 500+ cities across the world of varying distances from the equator, using Python script, CityPy, and OpenWeatherMap APIs. The second part, VacationPy, uses Jupiter-Gmaps and the Google Places API to create a heatmap and filter down cities.

"What's the weather like as we approach the equator?"

Analysis & graphic visualization of the weather of 500+ cities across the world.

Using Google Cloud API to highlight potential vacation destinations.

Analysis & graphic visualization of the weather of 500+ cities across the world.

Use APIs to visualize weather data