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: 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 S...
(2) • How to Use Basic Strea...
(3) • Using Streamlit Input ...
(4) • Generating Plotly Char...
I also recommend you check out my video series covering the Pandas Data Analysis Library:
(1) • An Introduction to Pan...
(2) • Using Python Pandas Se...
(3) • Using Python Pandas Da...
(4) • Selecting, Filtering a...
(5) • Data Wrangling with Py...
(6) • Working with Dates and...
(7) • Removing Duplicate Rec...
(8) • Grouping and Aggregati...
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