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data VisualizationCreated By:Joshua Rafael 1Basic Visuals | Matplotlib, SeabornBasic Visualization Concepts, introduction and Comparison b/t Matplotlib and Seaborn python Libraries in Jupyter 2Interactive Visuals | Plotly, Bokeh, Tableau, insights into more interactive and fun data Visualization functions. introduction to Plotly, Bokeh and made by Freepik from Notebooks Slideshow Homework ReferencesTable of Contents(Note: Click on hyperlinks to go to different parts of the slides.) About Matplotlib Installing Matplotlib Object Hierarchy Functional/MATLAB Approach (w/ ex) Object-Oriented Approach (w/ ex)0. About/Intro1. Matplotlib About Seaborn Installing Seaborn Theme Adjustments (w/ ex)2. Seaborn About Plotly Installing Plotly Using Plotly Offline or Online Plotly Examples Plotly Alternatives: Bokeh (w/ ex) Plotly Links to Notebooks References Cited5. References4. Tableau About Tableau Tableau Desktop No-Code Visualization Tools Visualization ComparisonData VisualizationWhat is data Visualization ?

Deeper insights into more interactive and fun data visualization functions. Introduction to Plotly, Bokeh and Tableau. Icons made by Freepik from www.flaticon.com. ... visualizations in Python. Usage: Matplotlib/Pandas is mostly used for quick plotting of Pandas DataFrames and time ... Seaborn is a Python data visualization library based on ...

  Introduction, Python, Data, Pandas, Python data

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