Sign In

General Elections Analysis

2019 Indian General Elections Data Analysis


This project is to perform Exploratory Data Analyis on the 2019 Indian General Elections dataset.
Here we use various Python libraries to perform Data Cleaning and Visualization.
The Dataset which is used in this project is from Kaggle, authored by the user Prakrut Chauhan.

The dataset contains information of all the candidates who contested the elections from various Constituencies. Data includes personal information like Assets, Education, Criminal Record, etc. as well as electoral information such as Contesting Constituency, Political Party, Total Votes received, etc.

The Libraries used in the Project are:

To install all required libraries, run the following Command:

pip install matplotlib seaborn numpy pandas jovian --upgrade

The following Tasks are implemented in the Project:


Downloading the Dataset

The dataset is unpacked and opened using the opendatasets package from the jovian library.

!pip install jovian opendatasets --upgrade --quiet
dataset_url = '' 

Let's begin by downloading the data, and listing the files within the dataset.

Souradeep Banerjee7 months ago