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.

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.

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.

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 sectionsWizard 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 chartCreating a normalized bar chart

To create a normalized bar chart:

1. Go to the DataLens home page.
2. In the left-hand panel, select Charts.
3. Click Create chart → Chart.
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.

RecommendationsRecommendations

• 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.