| Catalog Content |
Why Data Vis?, History of Data Visualization;Data Types, Attribute types, Dataset types (Tables, Networks, field, geometry);Marks and Channels, Using the correct marker (Points, Lines, Areas);Channel usage and effectiveness;Data Abstraction, data grouping and visualization; arrange tables, word clouds;Scatterplots, Bar Charts, Streamgraphs, Dot and line charts; Bar Charts;Streamgraphs, Dot and Line Charts ; Matrix alignment (cluster heatmaps , scatterplot Matrix );Color Theory, Color maps and Other channels; Data visualization softwires and tools;Spreadsheets;Tableu ;Google data studio ;Advanced data visualization tools |
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