Project Title - Crime Against Women (2001-2014)

TODO - The dataset is about the crime against women from year 2001-2014 in various districts of India. The dataset has 10677 rows and 11 columns. It contains various types of crimes against women like rape, dowry deaths etc and number of cases reported in various districts of India against these crimes from year 2001-2014

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

TODO - I downloaded my dataset on crimes against women from 2001-2014 and I choose this dataset because we always talk about women empowerment and for that we must ensure women safety.
Link to website from where I downloaded my dataset : https://www.kaggle.com/greeshmagirish/crime-against-women-20012014-india

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