realestate_data_analysis_visualization

Data Analysis and visualization of realestate dataset using matplotlib, pandas, seaborn.

Objective:

• Read csv dataset and pandas dataframes.
• Display the Bedrooms and Price/SQ.Ft listed at any particular city e.g "San Luis Obispo".
• Generate a bar graph using Bedrooms and Price/SQ.Ft.
• Generate a countplot and show results regarding their status.

Steps To Run:

For this demonstration, I am using the Jupyter Notebook, open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.

Step 1:

Create a virtual enviroment and install dependencies by running requirements.txt.

$ pip install virtualenv env

$ source env/bin/activate

$ pip install -r requirements.txt

Step 2:

Run the script.

$ jupyter notebook