Nightingale Rose Chart
A Nightingale Rose Chart (Coxcomb Chart or Polar Area Diagram) is a combination of the Radar Chart and Stacked Column Chart. It is helpful when working with cyclic data (months, seasons, years, etc.) and with statistical data. Meteorologists use it to illustrate a wind rose.
Percent Stacked SteplineArea Chart
A Percent Stacked Step Line Area Chart is a multi-series Step Line Area Chart, where the height of each series depends on its contribution to the sum of all values in a certain category (X-axis). It is helpful in showing the variation of a few variables and their percentage ratio.
Stacked Bar Chart with Negative Values
Stacked bar charts are used to compare the quantitative value each part of the category brings to the whole category. This chart shows the distribution of the revenue got from the cosmetic products sold to men and women.
Stacked Column and Line Chart
Three series of a Stacked Column type and a series of a Line type are combined in this chart. Two axes demonstrate values in integer and percent values.
Stacked Column Chart
Stacked Column Charts display the comparison of the quantitative value each part of the category brings to the whole category. Each of the stack components shows its relative contribution to the entire bar and the entity as a whole.
Stacked Column Polar Chart
Stacked Polygon Polar Chart
Legend with Extra Interactivty
Legend reacts on click and disables other series
Percent Stacked Bar Chart
A Percent Stacked Bar Chart is a multi-series Bar Chart which presents the contribution of each value to the sum of all values across categories. The X-axis is intended for percentage terms (from 0 to 100).
Stacked Area Chart
A Stacked Area Chart is composed of several Area series having their own height and stacked vertically one by one. This type is convenient when one needs to see the variation of each Area series and the variation of the combined value.
Stacked Bar Chart
A Stacked Bar Chart is composed of several Bar series having their own width and stacked horizontally one by one. This type is convenient when one needs to see the variation of each Bar series and the variation of the combined value.