COVID-19 Data Analysis and visualizations

Overview

This repository is dedicated to the analysis of COVID-19 data, aiming to provide insights and visualizations to help understand the trends and patterns of the pandemic. It includes scripts for data fetching, cleaning, exploratory data analysis (EDA), and trend analysis.

Features

• Data fetching: Scripts to fetch COVID-19 data from reliable sources.
• Data cleaning: Scripts to clean and preprocess the data for analysis.
• Exploratory Data Analysis (EDA): Scripts with in-depth analysis and visualizations.
• Trend analysis: Scripts to identify and visualize trends in COVID-19 cases, deaths, and recoveries.

Data Sources

The COVID-19 data used in this analysis is sourced from the CSSEGISandData/COVID-19 repository provided by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University.

Visualizing the Results

Explore visual representations of the analysis results. Below are some key visualizations:

General Analysis of Data

Caption: This chart illustrates the top 10 countries with most confirmed, deaths, recovered, and active cases.

Spread Analysis

Caption: This chart illustrates the number of affected countries over the time.

Caption: This chart illustrates the global number of confirmed, deaths, recovered, and active cases.

Caption: This chart illustrates the number of confirmed, deaths, recovered, and active cases for each continent.

Caption: This chart illustrates the number of confirmed, deaths, recovered, and active cases for some countries.

Caption: This chart illustrates the number of daily confirmed cases for some countries.

Caption: This chart illustrates the number of new confirmed cases for some countries.

Demographic Insights

Caption: Pie chart showcasing the demographic breakdown of confirmed, deaths, recovered, and active cases.