Capstone EDA Project Housing Data Analysis

Project Summary :

This is an EDA (Exploratory Data Analysis) project that focuses on exploring and analyzing a housing dataset. The dataset used in this project consists of various attributes related to housing properties, such as location, size, number of rooms, and prices.

About Dataset :

The housing dataset used in this project contains information about different housing properties.

The dataset includes the following columns:

• longitude: The longitude coordinates of the property's location.
• latitude: The latitude coordinates of the property's location.
• housing_median_age: The median age of houses in the property's neighborhood.
• total_rooms: The total number of rooms in the property.
• total_bedrooms: The total number of bedrooms in the property.
• population: The total population in the property's neighborhood.
• households: The total number of households in the property's neighborhood.
• median_income: The median income of households in the property's neighborhood.
• median_house_value: The median value of owner-occupied homes in the property's neighborhood.
• ocean_proximity: The proximity of the property to the ocean or other bodies of water.

Different Python libraries used to complete this EDA :

• Pandas
• NumPy
• Matplotlib.Pyplot
• Seaborn

Project Work flow :

1. Importing Libraries

2. Loading the Dataset

3. explore Dataset

4. Data Cleaning and manipulate

5. Data Visualization

6. Conclusion

Results :

The results show trends and correlations among the variables. We discovered valuable information about housing attributes and factors that influence prices.

The purpose of the analysis :

This EDA project provides valuable insights into housing market trends. It's useful for individuals, real estate professionals.