This chart shows how a measure changed over time. The area between the axis and the line is filled with colors, which shows the volume. If multiple data categories are displayed, they overlap. The top line represents all data.
It is handy to use this type of chart when it is important to see totals by category, e.g., total sales by product category.
Source table
Year
Home appliances
Household goods
Household cleaners
January 2019
128K
55K
26K
February 2019
97K
79K
18K
March 2019
187K
105K
41K
April 2019
188K
137K
34K
May 2019
230K
121K
43K
June 2019
256K
162K
59K
July 2019
284K
206K
67K
August 2019
409K
204K
72K
September 2019
314K
209K
86K
October 2019
324K
262K
79K
November 2019
385K
238K
101K
December 2019
451K
307K
111K
When building a chart, make sure to select measures carefully. For example, do not add the number of customers to the sales amount, or the purchase amount to the sales amount.
Dimension. You can only specify 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 that 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: ascending or 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.
Split
Dimension. Splits a chart horizontally by the selected dimension's values. The maximum number of splits per chart is 25.
If the source data includes a row where the measure value is null, the chart will not be built for that point at default settings. For example, if the source has a row with a date (20.07.2022) but the sales amount for it is missing.
You can configure how the chart will display null values in the chart section settings:
In the section with a measure whose values you want to show, in the top-right corner, click (the icon appears when you hover over the section).
In Empty values (null), select Display as 0.
Click Apply.
Now, the chart will use 0 instead of null.
If a row is missing from the source data completely, the chart section settings will not change the way the chart is presented. For example, if the source does not have a row with a certain date (20.07.2022), nothing will be shown for this date on the chart.
If the values of the categories contain a large amount of text, try to reduce it. Then the signatures on the diagram will look more accurate. You can use string functions in the calculated fields or conditional operators CASE.
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
You can split a chart by dimension into a number of small charts that are convenient to compare to one another. To do this, drag a dimension from the dataset to the Split section.