indian-candidates-for-general-election-2019

India is a country, divided into states and union territories, with a parliamentary system governed under the Constitution of India, which defines the power distribution among the federal government and the states. Election Commission is a federal body, enacted under the provisions of the Constitution, responsible for monitoring and administering all the electoral processes of India. This body is responsible for ensuring elections are free and fair, without any bias

The Analysis here is based on the election to Lok Sabha (The General Elections) for the year 2019 Members of Lok Sabha (House of the People) or the lower house of India's Parliament are elected by being voted upon by all adult citizens of India, from a set of candidates who stand in their respective constituencies. Every adult citizen of India can vote only in their constituency. Candidates who win the Lok Sabha elections are called 'Member of Parliament' and hold their seats for five years or until the body is dissolved by the President on the advice of the council of ministers. The house meets in the Lok Sabha Chambers of the Sansad Bhavan in New Delhi, on matters relating to creation of new laws, removing or improving the existing laws that affect all citizens of India.

How to run the code

This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer.

Option 1: Running using free online resources (1-click, recommended)

The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle".

Option 2: Running on your computer locally

1. Install Conda by following these instructions. Add Conda binaries to your system PATH, so you can use the conda command on your terminal.

2. Create a Conda environment and install the required libraries by running these commands on the terminal:

conda create -n zerotopandas -y python=3.8 
conda activate zerotopandas
pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade

3. Press the "Clone" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:

jovian clone notebook-owner/notebook-id

4. Enter the newly created directory using cd directory-name and start the Jupyter notebook.

jupyter notebook

You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a .ipynb extension) to open it.

Downloading the Dataset

Tips for Downloading Dataset -

Make a profile on Kaggle, if not made before

Create new api key in account option

Run below code and write down your kaggle username and api key

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