#When to use a treemap chart series

If your chart does not show any relationship between the variables then this is not the best chart for your data. In case of hierarchical (tree-structured) data these rectangles are nested. A treemap is a chart type that displays hierarchical or part-to-whole relationships via rectangles. Video game scores and yearly salary as an example will appear to have no correlation as one increases, the other has no effect. Bar charts are surely well know but letвЂ™s spend a few words on treemaps now. While a Treemap is sometimes categorized as a distribution visualization, I see it mostly referred to as a part-to-whole visualization. No correlation - There is when there is no apparent relationship between the variables. A Treemap Chart is a data visualization that shows hierarchical data using nested nodes (rectangles) of varying size and color, making is easy to spot data patterns or to compare data quantities. It does not solve the same problem that a visualization like a Bar Chart or a Line Chart would. It will be displayed as the main group in the chart. Like any other data visualization, a Treemap chart visualization should be used in specific scenarios. This should be the highest level in the hierarchy. Click Add dimension and select a dimension or a field. Do the following: From the assets panel, drag an empty treemap to the sheet. Time spent studying and time spent on playing games as an example are negatively correlated. You can create a treemap on the sheet you are editing. As one variable increases, the other decreases. Negative - This is when the variables move in opposite directions. Height and shoe size as an example are positively correlated. As one variable increases so does the other. Positive - This is when the variables move in the same direction. There are generally three types of correlation to look for: The direction is determined by whether the correlation is positive or negative and the numeric value is determined by the strength of a correlation. Correlations have two properties, direction and strength. There are different types of correlation that a scatter chart will show.

#When to use a treemap chart series

distributed: Boolean When turned on, each series in a treemap will have itвЂ™s own lowest and highest range and colors will be shaded for each series. In this type of chart the closer the plotted points are to making a straight line the stronger the relationship is between the two variables. An example of such use-case would be in a profit/loss chart where darker reds mean larger losses, darker greens mean larger gains. The type of data used in this chart is generally statistical or scientific, and can suggest various kinds of correlation between the variables. A good example of this can be seen below. This is a very powerful type of chart and good when your are trying to show the relationship between two variables (x and y axis), for example a person's weight and height. A scatter chart works best when comparing large numbers of data points without regard to time.