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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. References4. Tableau About Tableau Tableau Desktop No-Code Visualization Tools Visualization ComparisonData VisualizationWhat is data Visualization ?

Data visualization is the graphical representation of information and data. What are the advantages of data visualization? Makes for easier interpretation of patterns and trends as opposed to looking at data in a tabular/spreadsheet format. What makes for …

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