Performing Exploratory Data Analysis on the 2019 Indian General Elections dataset using Python libraries like Matplotlib, Seaborn, Numpy and Pandas. The dataset contains information of all the candidates who contested the elections from various Constituencies. Follow the link to download the dataset and explore the project.
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 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:
The dataset is unpacked and opened using the
opendatasets package from the
!pip install jovian opendatasets --upgrade --quiet
dataset_url = 'https://www.kaggle.com/prakrutchauhan/indian-candidates-for-general-election-2019'
Let's begin by downloading the data, and listing the files within the dataset.