India Census 2011 Dashboard

After taking the session of CampusX DSMP Program. I decided that this would be a good project to improve my Data Wrangling and Data Interpretation ability.

Data Gathering

1. Census data get from kaggle.

• Dataset 1
• Dataset 2

Disclaimer

• Data is not appropriate or absolute to belive. I just used it for practicing purpose.

Inspired from CampusX a Data Science YouTube channel.

Process of Thinking | Notetaking

1. For Populations data :

• Plot a scatter_mapbox for each States and Districts.
• Plot a pie chart for male-female distributions in States. Do this only for States.

2. For Literacy Data :

• Plot a scatter_mapbox for each States and Districts.
• Plot a pie chart for male-female distribution in States.

3. For Castes Group Data :

• This data contains two caste groups SC & ST. So we can plot the only the pie charts for each States.
• For Districts we can plot the nested pie plot for each States's Districts.*

4. For Religions Data :

• This contains maybe five religions overall. So we have again plot the nested pie plot for each States and Districts.

Common Thoughts :

1. Plot some default scatter plot with plotly to display many feature analysis in one graph.
2. After analysing the Rough Analysis.py graphs I found that Litracy columns does not depict the way it has to. That's why we have to calculate the litracy rate of the particulars.

Feature Engineering

1. In the dataset Male, Female and Literate columns are present instead of Literacy Rate and Sex Ratio.
2. The dataset is in wide formate so I turn it into long formate for analysis.

Created by arv-anshul

Used dataset is not appropiate for real life analysis. I just used it to improve my skills. Find the used datasets here.