You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail


Link to the app: https://github.com/AammarTufail/data_profiling_app
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Description

This lecture walks through building a simple Streamlit application that generates ydata-profiling reports from any CSV file. You will learn how to structure the app, handle file uploads, manage large reports, and present clean, shareable EDA results with minimal code. The session is theory-first with a guided build so students understand each step.

What you will learn
• What automated EDA is and when to use it
• How ydata-profiling summarizes data quality, distributions, and correlations
• Streamlit basics: layout, widgets, file upload, caching
• Generating and displaying profiling reports inside a Streamlit app
• Exporting HTML/PDF reports for sharing

Topics covered
1. Why automated EDA saves time
2. Installing and importing: streamlit, pandas, ydata_profiling
3. App layout: title, sidebar, file uploader, options
4. Reading CSV safely and handling errors
5. Creating the ProfileReport with basic settings
6. Embedding the report (HTML) and offering downloads
7. Tips for larger files: sampling and cache
8. Next steps: adding charts, profiling options, and simple data cleaning

Assignment for students
• Build the app, test with a small public CSV (e.g., Iris or Titanic), and export the HTML report.
• Extend the app with two options: row sampling and a checkbox to include correlations.
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Here is the complete roadmap to become a data scientist, data analyst and machine learning engineer in next 4-8 months (depending on your pace)
All lectures are free of cost, just need your prayers.
Here is the link to the course: www.codanics.com/roadmap
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