Transcription of Data Visualization
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Data Visualization
Data VisualizationCreated By:Joshua Rafael 1 Basic Visuals | Matplotlib, SeabornBasic Visualization Concepts, Introduction and Comparison b/t Matplotlib and Seaborn Python Libraries in Jupyter 2 Interactive 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.
Usage: Matplotlib/Pandas is mostly used for quick plotting of Pandas DataFrames and time series analysis. Matplotlib Seaborn Plotly Tableau Resources Matplotlib - About Pros and Cons of Matplotlib: Pro: Easy to setup and use. Pro: Very customizable. Con: Visual presentation tends to be simple compared to other tools.
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