Covid_19_data_analysis

Covid - 19 Data analysis using Python - Matplotlib, NumPy, Pandas, Tkinter

DATASET USED :

https://github.com/datasets/covid-19

A preview is given below -

1. LOGIN PAGE -

Login ID - admin Password - root

Error message for wrong userid or password

2. MAIN MENU

3. DATA VISUALIZATION

a) Line plot of user defined country on any parameter

b) Bar chart of top 5 countries on basis of Total Recovered cases

c) Subplot of World's Confirmed , Recovered and Deaths

d) Pie chart of top 5 countried in Total Confirmed Cases

e) Bar chart of top 5 countries in Total Deaths Cases

f) Pie chart of Total Confirmed , Recovered and Death cases of world

4. ANALYSIS MENU

Example of Analysis menu -

a) Top 5 countries with most cases overall

b) Top 5 countries with most active cases at present

c) World Total confirmed, recovered and active cases

d) Top 5 countries with least cases overall

Future Scope / Limitations -

1. To learn more about other attributes such as patient gender, ethnicity and age and how it causes the fatality rate.
2. A dashboard of interactive charts to provide an overall summary.
3. Including google mobility data – to understand the trend of movement aspect.
4. Including other aspects that were affected by the pandemic like Countries economy , growth in crimes , population rate , affect on mental and physical health etc.
5. Trying to Predict Future Cases values.