Normalized column chart

A normalized column chart shows the contribution of each measure or category to the total amount. Unlike a stacked column chart, the proportion of segment ratios and not the total column length is important for this type of chart. Segments are highlighted in different colors and located one above the other. The height of a segment indicates its ratio to the total amount represented as 100%. For example, the percentage of sales for different product categories.


Source table
MonthHome appliancesHousehold goodsHousehold cleaners
January 2019128K55K26K
February 201997K79K18K
March 2019187K105K41K
April 2019188K137K34K
May 2019230K121K43K
June 2019256K162K59K
July 2019284K206K67K
August 2019409K204K72K
September 2019314K209K86K
October 2019324K262K79K
November 2019385K238K101K
December 2019451K307K111K

This type of chart is used to see the contribution of each measure to the total value by period or category. For example, to view the percentage of different expenses in the total budget amount.


Source table
MonthGasolineRentFoodUtility bills
January 2019100600300500
February 2019150600250700
March 2019100600450400
April 2019120600370510
May 2019100600300530
June 2019130600310600
July 2019150600330510
August 2019120600250550
September 2019110650380500
October 2019120650300550
November 2019130650310540
December 2019100650400550

Wizard sections

XDimensions. You can specify one or two dimensions.
YMeasure. 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. Measure Names can be moved to the X-axis.
ColorsMeasure Names dimension or field that affects the color of lines. To remove Measure Names, delete measures from the Y axis.
SortingDimension or measure. Affects the column sorting. 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.
LabelsMeasure. Displays measure values on the chart. If multiple measures are added to the Y section, drag Measure Values to this section.
SplitDimension. Splits a chart horizontally by the selected dimension's values. The maximum number of splits per chart is 25.
FiltersDimension or measure. Used as a filter.

Creating a normalized column chart

To create a normalized column chart:


If you use a new DataLens object model with workbooks and collections:

  1. Go to the DataLens home page. In the left-hand panel, select Collections and workbooks.
  2. Open the workbook, click Create in the top-right corner, and select the appropriate object.

Follow the guide from step 4.

  1. Go to the DataLens home page.
  2. In the left-hand panel, select Charts.
  3. Click Create chartChart.
  4. At the top left, click Select dataset and specify the dataset to visualize.
  5. Select Normalized column chart as the chart type.
  6. Drag a dimension from the dataset to the X section. The values will be displayed in the lower part of the chart on the X axis.
  7. Drag one or more measures from the dataset to the Y section. The values will be displayed as columns on the Y-axis.
  8. Drag a dimension from the dataset to the Color section. Columns are grouped into segments.


  • 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 segments on the chart.

  • Place segments so that the largest or most important categories are located closer to the chart base. This makes it easier to compare the values.

  • 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.

    Chart example


  • To display the absolute values of variables, use a column chart.