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Profile Data Using the pandas_profiling Python Package

In this lab, we will load a CSV file into a pandas DataFrame. Once loaded, we will use the `pandas_profiling` package to generate a profile report on the data. We will then view this report using a web browser. Basic Python programming skills will be required for this lab. If you need a refresher, check out the following course: - [Certified Associate in Python Programming Certification](https://acloud.guru/overview/8169e8e7-91a7-4d92-b278-4dd08c787dc6)

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 30m
Last updated
Clock icon Sep 01, 2025

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Table of Contents

  1. Challenge

    Install pandas_profiling

    Install the pandas_profiling package using pip. Be sure to use Python version 3.

  2. Challenge

    Load the CSV File into a DataFrame

    Load the provided CSV file into a pandas DataFrame object.

  3. Challenge

    Generate the Report and Save to a File

    Generate the profile report, and save it to a file named profile_report.html

  4. Challenge

    Start a Simple Web Server on Port 8080

    Lastly, start a simple web server using the HTTP module listening on port 8080 to make the report accessible.

    You can access the report at: http://PUBLIC_IP:8080/profile_report.html. Replace PUBLIC_IP with the public IP address of the lab instance.

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