Hyderabad_House_Prices_Analysis

In the current repository we wil try to clean and analyse the data extracted in the Hyderabad_House_Prices repository and try to answer questions such as

• What is the common Fursnhing style of the flat available for rent?
• What type of Tennants are generally preferred by Landlords?
• How many numbers of Bedrooms are generally available for rent?
• What is the distribution of Furnishing type vs Tennants preferred?

Steps :

• Import the data from the .CSV file saved previously.
• Identify the feaures that needs preprocessing or cleaning or that have missing values.
• Preprocess the Data.
• Save the Data into .CSV file.
• Visualize and draw insights from the data.

Dependencies :

• Pandas.
• Matplotlib.
• Stastistics Library.
• Regular Expressions.

Navigation :

1. First run the Hoseu_Prices_Preprocessing.ipynb using Hyderabad_House_Data.CVS
2. Next run the House_Prices_Data_Visualization.ipynb using the Hyderabad_House_Data_Cleaned.CVS

Answers :

• What is the common Fursnhing style of the flat avaliable for rent ?

• What type of Tennants are generally preferred by Landlords ?

• How many number of Bedrooms are generally availabel for rent ?

• What is the distribution of Furnishing type vs Tennants repferred ?

Note :

Installing Anaconda Distribution will Resolve all the Dependencies. Many more conclusions can be drawn from the data depending on the business case / business requirement.