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Data Analysis for 2019 Indian General Election

Who are the Winners in the 2019 Indian General Election?


Project Description

The Lok Sabha, the lower house of the Parliament of India, is made up of Members of Parliament (MPs). Each MP represents a single geographic constituency. The 17th Lok Sabha Election held in 2019 from April to May 2019 in 7 phase. Around 910 Million voters were eligible to vote and the voter turnout was 67%. This was the highest ever voting recorded by Election Commission of India. In this project, we use the dataset of candidates who contested the 2019 Lok Sabha Elections to examine what attributes make a candidate successful in this election, and try to model the mechanism using supervised machine learning algorithms.

Source of the Data Set

Kaggle - Indian Candidates for General Election 2019

Contents

File Description
LS_2.0.csv The dataset in csv format
analysis.R The R code for the data analysis
Report.pdf The report for the data analysis

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