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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
Published
Clock icon Jun 04, 2021

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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.

A Cloud Guru - Labs - Profile Data Using the pandas_profiling Python Package
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A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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