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.
100 Percent Stacked Bar Chart
100% Stacked Bar Charts display the comparison of the percentage, taking the whole category as 100%. Chart describes the products' sales ratio by four regions. The legend is interactive and controls chart series.
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.
Stock Chart
AnyStock - Visualize financial or any timeline data in JavaScript
Winter Olympics, Top 10 Chart using Google Spreadsheet
Stacked Column Chart showing the top nine national teams at the 2014 Winter Olympics in Sochi by medal count. Data for this visualization is loaded straight from a public document on Google Spreadsheets.
BCT HiLo Chart 01
Stacked Bar Chart
Stacked Bar chart displays sales breakdown for multiple products in several regions. Stacked mode helps to concentrate on comparing sales in all regions while being able to compare total sales as well.
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 SteplineArea Chart
A Stacked Step Line Area Chart is composed of several Step Line Area series having their own height and stacked vertically on top of one another. This type is convenient when we need to see the variation of each SteplineArea series and the variation of the combined value.
Stacked Stock Chart
Stacked Stock Chart demonstrating the basic example of stacking values along the Y-axis in Stock Charts. The data visualization is helpful in identifying the exact dates when app sales generated the most revenue.
BCT Column Chart 01