¶ Data Visualization
Data visualization is the graphical representation of data, which researchers use to identify patterns, trends, outliers, etc., and for creating visual evidence to support a scholarly claim. The range of visualization chart types vary considerably, e.g., scatterplot, bar chart, and line graph. The kind you will see in the examples here are timeline, maptree, and network. GIS, a form of data visualization that uses geospatial data, will be discussed in the mapping section. (To learn more about data and data visualization, see Introduction to Data.)
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