https://github.com/yusufcinarci/covid-19-data-analysis-visualization

The first project of our data visualization studies is the COVID-19 data analysis project. In this project, we analyzed the data of the COVID-19 pandemic, which started in the first month of 2020 and still continues to affect the world, on the basis of countries. You can find the brief details of the project we realized in 3 stages in the readme file. We have tried to explain the details of the project step by step below. We wish you healthy days.
https://github.com/yusufcinarci/covid-19-data-analysis-visualization

covid-19-data-visualization data-analysis data-science data-visualization

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The first project of our data visualization studies is the COVID-19 data analysis project. In this project, we analyzed the data of the COVID-19 pandemic, which started in the first month of 2020 and still continues to affect the world, on the basis of countries. You can find the brief details of the project we realized in 3 stages in the readme file. We have tried to explain the details of the project step by step below. We wish you healthy days.

• Host: GitHub
• URL: https://github.com/yusufcinarci/covid-19-data-analysis-visualization
• Owner: yusufcinarci
• Created: 2022-01-29T14:09:41.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-01-30T11:53:48.000Z (over 4 years ago)
• Last Synced: 2025-05-16T09:46:05.822Z (about 1 year ago)
• Topics: covid-19-data-visualization, data-analysis, data-science, data-visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 26.7 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Covid-19-Data-Analysis-Visualization

The first project of our data visualization studies is the COVID-19 data analysis project. In this project, we analyzed the data of the COVID-19 pandemic, which started in the first month of 2020 and still continues to affect the world, on the basis of countries. You can find the brief details of the project we realized in 3 stages in the readme file. We have tried to explain the details of the project step by step below. We wish you healthy days.

## Covid-19-Data-Analysis-Visualization 1

First, we will download the libraries we will use.

`!pip install folium -- !pip install plotly`

### import

``` Python

import plotly.express as px

import plotly.graph_objects as go

import plotly.figure_factory as ff

from plotly.subplots import make_subplots

import folium

import pandas as pd 

import numpy as np

import matplotlib.pyplot as plt

%matplotlib inline

import math 

import random

from datetime import timedelta

import warnings 

warnings.filterwarnings('ignore')

```

### After importing our libraries, we defined our dataset.

```!git clone https://github.com/laxmimerit/Covid-19-Preprocessed-Dataset```

### Total number of covid-19 cases in the world

![Total number of covid-19 cases in the world](https://user-images.githubusercontent.com/63750425/151665566-712196f4-5789-4e33-aee6-fa56c3b6dc1b.png)

### Total number of covid-19 deaths in the world

![Total number of covid-19 deaths in the world](https://user-images.githubusercontent.com/63750425/151666393-21eb486f-2c87-45a4-b791-f22624d45306.png)

##  Covid-19-Data-Analysis-Visualization 2

### Confirmed Cases with Choropleth Map

![Confirmed Cases with Choropleth Map](https://user-images.githubusercontent.com/63750425/151666566-34003976-59f4-40f6-9166-794e557e6c89.png)

### Confirmed and Detah Cases with Static Colormap

![newplot (5)](https://user-images.githubusercontent.com/63750425/151666603-80d5d570-22dc-492d-8418-f16fc64225ad.png)

## Covid-19-Data-Analysis-Visualization 3

### Line Plot

![Line Plot](https://user-images.githubusercontent.com/63750425/151666876-ca2adeea-5b08-47ed-b90a-483c0663640a.png)

### Growth Rate after 100k Cases

![Growth Rate after 100k Cases](https://user-images.githubusercontent.com/63750425/151666973-1ff87547-9456-4277-90a2-dd292c6ac487.png)

### Tree Map Analysis

### Deaths Cases

![Deaths Cases](https://user-images.githubusercontent.com/63750425/151667008-8f8422a2-d42a-4042-b77e-494dee9e7060.png)

### Covid-19 vs Other Similar Epidemics

![Covid-19 vs Other Similar Epidemics](https://user-images.githubusercontent.com/63750425/151667063-d9afacc8-14cf-4952-a78e-24960db158bc.png)

We tried to show some important and striking graphics in our project above. You can find all the files of our first project in our data science journey in the github repo.