Bar chart
This chart displays the values of one or more measures by each category, using horizontal bars. The length of a bar determines the measure value: the longer the bar, the larger the value. For example, you can compare sales of products by their subcategory.
Source table
Subcategory | Sales |
---|---|
Beauty and health products | 44К |
Kitchenware | 1392К |
Kitchen products | 1120К |
Detergents | 405К |
Health and beauty equipment | 1760К |
Non-essential goods | 827К |
Cleaners | 304К |
Types of bar charts
Grouped
A chart with grouping by dimension lets you compare two or more categories by a single measure. For example, grouping by delivery type allows you to compare the cost of products delivered by courier and picked up. Categories are highlighted in different colors and the length of the bar indicates the measure value.
Source table
Subcategory | Delivery | Pickup |
---|---|---|
Beauty and health products | 12К | 32К |
Kitchenware | 394К | 998К |
Kitchen products | 371К | 749К |
Detergents | 127К | 278К |
Health and beauty equipment | 497К | 1,263К |
Non-essential goods | 268К | 560К |
Use a chart with grouping to compare two or more measures, such as the number of orders and the number of products. The bar length corresponds to the measure value.
Source table
Subcategory | Orders | Number of products |
---|---|---|
Beauty and health products | 481 | 1,470 |
Kitchenware | 758 | 2,402 |
Kitchen products | 480 | 1,371 |
Detergents | 835 | 2,551 |
Health and beauty equipment | 863 | 2,705 |
Non-essential goods | 705 | 2,152 |
Cleaners | 770 | 2,460 |
Stacked
A stacked chart shows a ratio of internal segments to the total value. Segments are placed one after another: the beginning of each subsequent segment is the outermost boundary of the previous one.
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
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 |
Wizard sections
Wizard section |
Description |
---|---|
Y | Dimensions. You can specify one or two dimensions. |
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. Affects the column color. To delete Measure Names, click the cross icon or remove measures from the X axis. |
Sorting | Dimension or measure. Affects the column sorting. The sorting direction is marked with an icon next to the field: |
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 syntax: click the icon before the field name and enable Markdown. |
Filters | Dimension or measure. Used as a filter. |
Creating a bar chart
To create a bar chart:
Warning
If you use a new DataLens object model with workbooks and collections:
- Go to the DataLens home page
. In the left-hand panel, select Collections and workbooks. - Open the workbook, click Create in the top-right corner, and select the appropriate object.
Follow the guide from step 4.
- Go to the DataLens home page
. - In the left-hand panel, select
Charts. - Click Create chart → Chart.
- At the top left, click
Select dataset and specify the dataset to visualize. - Select Line chart as the chart type.
- Drag one or more dimensions from the dataset to the Y section. The values will be displayed on the Y axis.
- Drag one or more measures from the dataset to the X section.
- Drag a dimension from the dataset or the Measure Names field to the Color section.
A stacked column chart is displayed by default.
Creating a grouped bar chart
To display an Y-axis grouped bar chart:
-
Go to the bar chart that you created.
-
Depending on the number of measures in the X section, follow these steps:
Single measureTwo or more measures- Check if there is a dimension in the Colors section.
- Duplicate this dimension in the Y section. The sequence of dimensions affects the grouping order.
- Drag the Measure Names dimension to the Colors section.
- Drag the Measure Names dimension to the Y section. The sequence of dimensions affects the grouping order.
Adding a column color based on a measure
To color columns in a chart based on the value of a measure:
-
Go to the column chart that you created.
-
Depending on the number of measures in the X section, follow the steps below:
Single measureTwo or more measuresCopy the measure from the X section to the Colors section.
Columns in the chart will take on colors as a function of the measure values.
Drag the Measure Values measure to the Colors section.
The chart columns will be colored based on the values of all measures listed in section X.
-
Configure a color gradient for the measure as well. To do this, in the top-right corner of the Colors section, click
(the icon appears when you hover over the section). -
In the color settings, specify:
- Gradient type: Select two or three colors.
- Gradient color: Select a color palette for the gradient from the list.
- Gradient direction: Change the gradient direction using the
icon. - Set threshold values: Set numeric thresholds for each color. Works if the X section contains a single value.
null
values
Configuring display of 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.
For more information, see Configuring the display of null values.
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.
- Place segments inside bars so that the largest or most important categories are located to the left, closer to the chart's Y-axis. This makes it easier to compare the values.
- 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.