Crimes against women in India -Analysis

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This project contains the data record of all types of crime against women in india in the span of year 2001-2014. Main aim of working on this project is to reflect the situation of women in our society and raise concern about this matter.

This project is part of my Data Analysis with Python: Zero to Pandas course - www.zerotopandas.com.

Here we use various libraries of Python for visualization of Data.

The Dataset which is Used in Project is from Data World (👈 Click to Download)

The Libraries I used in Project are:

Matplotlib Explore here
Seaborn Explore here
Numpy Explore here
Pandas Explore here
Jovian Explore here

To install all required libraries, run the following Command:

pip install matplotlib seaborn numpy pandas plotly jovian --upgrade

Know About Data visualization:

The Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers. Visualizing data is an essential part of data analysis and machine learning. In this tutorial, we'll use Python libraries Matplotlib and Seaborn to learn and apply some popular data visualization techniques.

Let's start the Project !!

import jovian

jovian.commit(project='crime-against-women', environment=None)

[jovian] Updating notebook "ak7156905/crime-against-women" on https://jovian.ai/
[jovian] Committed successfully! https://jovian.ai/ak7156905/crime-against-women

'https://jovian.ai/ak7156905/crime-against-women'

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline

Data Preparation and Cleaning

Here various modes of displaying dataset which is in CSV format.

First step is to load the data using pandas read_csv function. the data is stored in mutidimensional table called as dataframe.