Skip to content

Covid-19 Data analysis, how it affects the whole world. Including India, Spain, Korea and China.

Notifications You must be signed in to change notification settings

kanishksh4rma/COVID19-DATA-ANLYSIS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 

Repository files navigation

COVID19-DATA-ANALYSIS

Open Source Love Code Climate

Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.

The best way to prevent and slow down transmission is be well informed about the COVID-19 virus, the disease it causes and how it spreads. Protect yourself and others from infection by washing your hands or using an alcohol based rub frequently and not touching your face.

Objective

The COVID-19 virus spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, so it’s important that you also practice respiratory etiquette (for example, by coughing into a flexed elbow).

This has become a neccesary need to Visualize the data and see how does it affect the whole world.

Libraries Used :

* Pandas
* Numpy
* Plotly
* Matplotlib
* Cufflinks

Screenshots

screenshot_2

screenshot_1

screensho5

screen7

Developed by : kanishk sharma

forthebadge