EDA-On-London-Housing

Overview

The aim of this project is to perform Exploratory Data Analysis (EDA) of the London housing dataset. The analysis includes data loading, cleaning and visualization to find key trends and patterns in housing prices, houses sold, and crime rates across various areas in London over time.

About the Dataset

The dataset contains information about London Housing. It contains 13549 records for the EDA analysis purpose based on different features/factors that include 6 features.

Key Features:

Data Cleaning and Preparation

Creation of Year and Month Columns

Descriptive Statistics

Data Visualization

Insights and Interpretations

Cleaned Dataset for Future Use

Libraries Used:

Pandas

NumPy

Matplotlib

Seaborn