1. Timeseries Plot : Total cases vs time is plotted to understand the exponential growth of the virus
2. Trajectory Plot : This is a very important plot which can help us find out whether we're winning the war or not
5. Deepdive : Quadrant plot to analyze why certain states are failing with testing and controlling the pandemic
6. Geoplot : State and distrct wise geographic heatmap of number of caes. This will help us to understand the target zones
Code | State | Code | State |
---|---|---|---|
AN | Andaman and Nicobar Islands | AP | Andhra Pradesh |
AR | Arunachal Pradesh | AS | Assam |
BR | Bihar | CH | Chandigarh |
CT | Chhattisgarh | DN | Dadra and Nagar Haveli |
DD | Daman and Diu | DL | Delhi |
GA | Goa | GJ | Gujarat |
HR | Haryana | HP | Himachal Pradesh |
IN | India | JK | Jammu and Kashmir |
JH | Jharkhand | KA | Karnataka |
KL | Kerala | LA | Ladakh |
LD | Lakshadweep | MP | Madhya Pradesh |
MH | Maharashtra | MN | Manipur |
ML | Meghalaya | MZ | Mizoram |
NL | Nagaland | OR | Odisha |
PY | Puducherry | PB | Punjab |
RJ | Rajasthan | SK | Sikkim |
TN | Tamil Nadu | TG | Telangana |
TR | Tripura | UP | Uttar Pradesh |
UT | Uttarakhand | WB | West Bengal |
Create a Kaggle api and store the json in local users .kaggle Follow this link to know about it : https://github.com/Kaggle/kaggle-api
- Install all the required packages from requirements.txt
- First update your database by python scraper.py
- View the graph of your interest by python main.py "plontname" "statecode"
Valid plot names are
- Timeseries
- Trajectory
- DailyCases
- Demography
- Deepdive
- Geoplot
Credits to https://www.kaggle.com/sudalairajkumar/covid19-in-india and https://www.mohfw.gov.in/ for the dataset.
- SIR Modelling.
- Sentiment Analysis using Google Trends.
- What is the effect of Lockdown (I feel it's very early to look into it's benefits)