Visualize changes over time with Stack Graph data visualizations
 Stack Graphs let you visualize quantitative changes to several datasets over time, and you can see how each datapoint contributes to the total. For example, Stack Graphs are a great way to look at revenue or gross profit figures over time across several product lines. Other applications include looking at market cap data over time for several instruments in a portfolio, or reviewing stock price changes in various market sectors (see example Stack Graph below.)
 This Stack Graph is displaying one year of performance data for a single portfolio. Holdings are divided into sectors. The height of each trace is correlated to the market cap of the stocks held. Color indicates price movement – red indicates falling price and blue shows rising prices.
Stack Graphs are great to use when you have up to ten or eleven time series datasets to look at, especially for datasets that have a large number of positive datapoints. They are a excellent information visualization to use in conjunction with our Treemap, Heatmap, Heat Matrix, Barseries, or Horizon Graph tools since they provide a different perspective on the same set of data.
 This example displays one year of performance for all US stocks, grouped by sector. the height of each trade indicates market cap for all stocks in the sector. Color is used to clearly differentiate sectors.
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