Exploratory Data Analysis, Data Visualization, Statistics

Netflix show analysis in python with medium-size dataset using popular libraries like pandas, numpy etc.

Wrangled, Analyze and cleaned data gotten from 3 sources using requests os, twitter api and merging to produce a master set

Education Project 04 - HeadHunter.ru Data Cleaning, Visualization and Analysis

data analysis using python libraries and jupyter notebooks.

An interactive data visualization portfolio project analyzing the frequency of applications over time, using Python, Jupyter Notebook, pandas, Seaborn, and Plotly with randomized data set.

Repositório criado para o Bootcamp de Python oferecido pelo Sigmoidal com o professor Carlos Melo.

Proyecto de visualización de datos con Pandas y Matplotlib que muestra las tendencias de ransomware durante el primer semestre de 2023. Gráficas básicas para mostrar la distribución de ataques en el tiempo y el avance de diferentes grupos de cibercriminales.

What are the factors, features and amenities that make an Airbnb listing more expensive?

Analysis of StackExchange datasets concering users of this platform using various R libraries (base R, data.table, dplyr) and Python (numpy, pandas)

Analyzing data from Thompson's Motif-Index of Folk Literature using Pandas

This project aims to investigate whether patient characteristics, such as age, gender, and neighborhood, affect appointment attendance using a medical dataset from 100,000 patients in Brazil. By analyzing the data, we aim to provide insights into factors that influence attendance and inform strategies for improving appointment adherence.

A dataset need to be analyzed to formulate customer interests and find correlation between multiple variables

Super-simple self-contained interactive HTML-Reports combining elements from various sources. Manages styling and layout via customisable css.

☣️ Análise exploratória de dados de COVID-19 do nordeste brasileiro nos anos 2020-2022

Este proyecto tiene como objetivo analizar el índice de marginalización en México utilizando datos sociodemográficos e indicadores de marginación a nivel municipal.

Conducted Data Analysis on financial records to gain insight into how to minimize monthly expenditure. Created and trained a linear regression model to forecast expenditure for the following months.

a movie dataset collected by TMBD .in this project i'm trying to investigate the dataset ,cleaning it and answering some questions using csv file ,python libraries like pandas , NumPY, matplotlib

Speed comparisons for dataframe libraries