How to import Boston house data set to framework | Python | Mithil

If you are working on a project involving housing data analysis in Boston, you may need to import the Boston house data set to a framework like Python using libraries such as Mithil. Here’s a step-by-step guide to help you with this process:

1. First, you will need to install the necessary libraries like Pandas and Mithil in your Python environment. You can do this by running the following command in your terminal or command prompt:

pip install pandas Mithil

2. Once you have installed the required libraries, you can now import the data set using the following code:


import pandas as pd
df = pd.read_csv('boston_house_data.csv')


3. Make sure that the ‘boston_house_data.csv’ file is in the same directory as your Python script, or provide the full path to the file in the read_csv() function.

Now you have successfully imported the Boston house data set into your Python environment using the Mithil framework. You can now start analyzing the data and creating visualizations to gain insights into the housing market in Boston.