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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