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Generating Plotly Charts in Streamlit

In this video, we learn how to generate and display Plotly chart visualizations in Streamlit. Plotly is a versatile charting library that enables users to create a wide range of highly interactive and informative visualizations. It supports numerous chart types, including line graphs, scatter plots, bar charts, pie charts, bubble charts, and more, in both 2D and 3D formats. Streamlit Official Documentation: https://docs.streamlit.io/ Prerequisites for this video include: -- A working knowledge of the Python programming language and Pandas DataFrames. -- An instance of Python and Streamlit installed on your computer. -- An interest in learning how to use Streamlit to create interactive data web apps. This video is part of a series playlist covering how to Create Interactive Data Apps with Python and Streamlit: (1)    • Getting Started With Streamlit   (2)    • How to Use Basic Streamlit Elements   (3)    • Using Streamlit Input Widgets   (4)    • Generating Plotly Charts in Streamlit   I also recommend you check out my video series covering the Pandas Data Analysis Library: (1)    • An Introduction to Pandas Python Library   (2)    • Using Python Pandas Series   (3)    • Using Python Pandas DataFrames   (4)    • Selecting, Filtering and Sorting Pyth...   (5)    • Data Wrangling with Python and Pandas   (6)    • Working with Dates and Times in Pytho...   (7)    • Removing Duplicate Records in Python ...   (8)    • Grouping and Aggregating Data in Pyth...