How To: Build an Interactive Data Dashboard with Streamlit and repl.it скачать в хорошем качестве

How To: Build an Interactive Data Dashboard with Streamlit and repl.it

In this demo, learn how to create an interactive data dashboard using Streamlit directly in the cloud with repl.it. We use Python, Streamlit, and essential data science libraries like Pandas, Matplotlib, Altair, and ydata-profiling to develop a user-friendly app for exploratory data analysis. This tutorial covers uploading CSV files and connecting to public datasets, filtering and visualizing data, and generating detailed data profiling reports. Additionally, it demonstrates fixing visualizations and generating downloadable CSV files from filtered data. 00:00 Introduction to Building a Data Dashboard 00:35 Setting Up the Development Environment 01:46 Creating the Streamlit App Structure 02:31 Loading and Displaying Data 03:53 Adding Data Filters 04:27 Creating Data Visualizations 06:04 Generating Data Profiling Reports 07:13 Testing the App with Sample Data 08:46 Fixing and Enhancing Visualizations 13:29 Loading Data from a Public URL 14:41 Conclusion and Final Thoughts Thank you ‪@replit‬, ‪@streamlitofficial‬, and ‪@altair_inc‬ To access the files used in this tutorial, click here: https://github.com/learnthetechnology...