Lok Sabha 2019 Candidate Analysis
In this notebook, I am performing analysis on the candidates stood for the 'Lok Sabha 2019 Elections' on their personal information such as
- Age
- Gender
- Education
- Category
- Criminal Cases
- Party they belong
- Votes they received in their constituency.
I got this dataset from Kaggle which is uploaded by Prakrut Chauhan and I am performing analysis on this dataset using Pandas & Numpy and plotting graphs using Matplotlib & Seaborn.
Also, I would like to mention this wonderful course with great instructor Aakash N S who is is the co-founder and CEO of Jovian.ml, a project management and collaboration platform for machine learning. Along with great instructor Jovian.ML gives a great platform and resources throughout the course. I have learnt Python and used it for a while, but had never tried data analysis with it. From this course I learnt Pandas, MatplotLib & Seaborn. And not just this, but also overall thinking and mentality for Data Analysis.
Also you can read my article
Let's Start with the analysis.
project_name = "lok_sabha_2019_candidates_analysis"
!pip install jovian --upgrade -q
import jovian