Normalized bar chart

A normalized bar chart shows the contribution, as a percentage, of multiple measures in the total amount by period or category. Unlike a stacked bar chart, the proportion of segment ratios and not the total bar length is important for this type of chart. Segments are highlighted in different colors and located one after the other. The length of a segment indicates its ratio to the total amount represented as 100%. For example, the percentage of expenses in the annual budget.

normalized-horizontal-bar-chart

Source table
Month Gasoline Rent Food Utility bills
January 2019 100 600 300 500
February 2019 150 600 250 700
March 2019 100 600 450 400
April 2019 120 600 370 510
May 2019 100 600 300 530
June 2019 130 600 310 600
July 2019 150 600 330 510
August 2019 120 600 250 550
September 2019 110 650 380 500
October 2019 120 650 300 550
November 2019 130 650 310 540
December 2019 100 650 400 550

Or the percentage distribution of payment types across product subcategories.

normalized-horizontal-bar-chart-categories

Source table
Subcategory Delivery Pickup
Beauty and health products 615K 373K
Kitchenware 1929K 1005K
Kitchen products 1217K 759K
Detergents 1210K 803K
Health and beauty equipment 2046K 1380K
Non-essential goods 1368K 894K
Cleaners 1237K 673K

A normalized bar chart shows the contribution, as a percentage, of each category in the total measure value over a time interval. For example, the percentage of sales for different product categories.

normalized-horizontal-bar-chart-2

Source table
Month 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

Wizard sections

Wizard
section
Description
Y Dimensions. You can specify one or two dimensions. For the Date and Date and time types, you can set grouping by time: minutes, hours, weeks, and so on.
X 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. You can move Measure Names to the Y axis.
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. 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.
Labels Measure. Displays measure values on the chart. If multiple measures are added to the Y section, drag Measure Values to this section.
Filters Dimension or measure. Used as a filter.

Creating a normalized bar chart

To create a normalized bar chart:

Warning

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 bar chart as the chart type.
  6. Drag one or more dimensions from the dataset to the Y section. The values will be displayed on the Y axis.
  7. Drag one or more measures from the dataset to the X section.
  8. Drag a dimension from the dataset or the Measure Names field to the Color section.

Recommendations

  • 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.
  • When visualizing multiple measures, select colors carefully. They should be distinguishable and contrasting. We recommend using no more than 3-5 colors per chart. If you want to emphasize one certain measure above the others, highlight it in some bright color.