This chart shows how a measure changed over time. The area between the axis and the plotted line is filled with color to indicate volume.
If you have multiple data categories, the areas will be stacked one on top of the other or overlap, depending on the setup.
Example
Visualization
Source table
Year
Home appliances
Household goods
Household cleaners
January 2017
325K
248K
96K
February 2017
437K
247K
91K
March 2017
490K
314K
111K
April 2017
458K
310K
125K
May 2017
530K
368K
127K
June 2017
593K
411K
158K
July 2017
555K
457K
138K
August 2017
612K
402K
129K
September 2017
646K
407K
138K
October 2017
804K
454K
157K
November 2017
716K
406K
160K
December 2017
753K
471K
201K
Be careful selecting the measures when building your chart. For example, do not add the number of customers to the sales amount, or the purchase amount to the sales amount.
Dimension. You can specify only one field here. This dimension is usually a date. If this is the case, make sure to specify the Date data type for this field in the dataset. This is required for correct sorting and signature display. For better visualization, you can group dates into weeks, months, and years. For more information, see Field settings.
Y
Measure. You can specify multiple measures. If you add more than one measure to a section, the Colors section will contain a dimension named Measure Names.
Colors
Measure Names dimension or field. Affects the color of lines. To remove Measure Names, delete measures from the Y axis.
Sorting
Dimension or measure. You can use a dimension from the X and Color sections or a measure from the Y axis. This section affects the sorting of values on the X axis or areas along the Y axis. The sorting direction is marked with an icon next to the field: for ascending or for descending. To change the sorting direction, click the icon.
Labels
Measure. Displays measure values on the chart. If multiple measures are added to the Y section, drag Measure Values to this section. Markup functions are supported. For String type fields, you can configure using basic Markdown in DataLens On-premises syntax: click the icon before the field name and enable Markdown.
Split
Dimension. Splits a chart horizontally by the selected dimension's values. The maximum number of splits per chart is 25.
Use the Stacking option in the chart settings to toggle between stacked or unstacked chart display.
A stacked chart shows a ratio of measures by category to the total value. Use this chart type when you need to see how each measure contributes to the total.
For example, you can get the breakdown of total sales by product category. If you have multiple data categories, the areas are stacked one on top of the other. The top line represents all data.
An unstacked chart shows the changes in a measure separately for each category. You can use this chart type when you need to compare measures by categories.
For example, total sales in each product category. If you have multiple data categories, the areas overlap. Each line corresponds to measure values for an individual category.
Labels. If the category values are too verbose, make them shorter so that the chart labels look neater.
You can use string functions in calculated fields or the CASE conditional statements.
Areas. Do not display more than three to five areas on the chart.
To make it easier to track the dynamics, place the largest or most important categories closer to the chart base. To do this, drag the measure to the Sorting section or set up their order in the Y section.
For example, you can do so to track sales dynamics in the Household cleaners category.
Chart example
Splitting. You can split a chart by dimension into several small, easy-to-compare charts. To do this, drag a dimension from the dataset to the Split section.