[Yandex Cloud documentation](../../index.md) > [Yandex DataLens](../index.md) > Charts > [Visualization reference](index.md) > Normalized stacked area chart # Normalized stacked area chart ![](../../_assets/datalens/normalized-area.svg) in Yandex DataLens A normalized stacked area chart shows variations in the amount each category contributes into a measure over a time interval. * Areas are highlighted in different colors and located above each other. The chart shows the percentage of areas and not their absolute value. * The width of an area indicates its ratio to the total amount represented as 100%. For example, the percentage of different expenses in the total budget amount. {% cut "Example" %} {% list tabs %} - Visualization ![normalized-area-chart](../../_assets/datalens/visualization-ref/normalized-area-chart/normalized-area-chart.png =800x) - 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 {% endlist %} {% endcut %} * This type of chart is used to show a change to the proportion of categories, while their totals are not critical. For example, to show how the percentage of product categories changes in the total sales amount. {% cut "Example" %} {% list tabs %} - Visualization ![normalized-area-chart-subcategory](../../_assets/datalens/visualization-ref/normalized-area-chart/normalized-area-chart-subcategory.png =800x) - 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 {% endlist %} {% endcut %} ## Wizard sections {#wizard-sections} Wizard
section| Description ----- | ---- X | Dimension. You can specify only 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](../concepts/chart/settings.md#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](../concepts/chart/measure-values.md). Colors | [Measure Names](../concepts/chart/measure-values.md) dimension or field. Affects the color of lines. To remove [Measure Names](../concepts/chart/measure-values.md), 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: ![image](../../_assets/console-icons/bars-ascending-align-left.svg) for ascending or ![image](../../_assets/console-icons/bars-descending-align-left.svg) 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](../concepts/chart/measure-values.md) to this section. [Markup functions](../function-ref/markup-functions.md) are supported. For `String` type fields, you can configure using basic [Markdown in Yandex DataLens](../dashboard/markdown.md) syntax: click the icon before the field name and enable **Markdown**. Split | Dimension. Splits a chart horizontally by the selected dimension's values. The maximum number of splits per chart is 25. Filters | Dimension or measure. Used as a filter. ## Creating a normalized area chart {#create-diagram} To create a normalized area chart: {% note warning %} If you use the new DataLens object model with [workbooks and collections](../workbooks-collections/index.md): 1. Go to the DataLens [home page](https://datalens.ru/?skipPromo=true). In the left-hand panel, select ![collections](../../_assets/console-icons/rectangles-4.svg) **Collections and workbooks**. 1. Open the workbook, click **Create** in the top-right corner, and select the object you need. Follow the guide from step 4. {% endnote %} 1. Go to the DataLens [home page](https://datalens.ru/?skipPromo=true). 1. In the left-hand panel, select ![chart](../../_assets/console-icons/chart-column.svg) **Charts**. 1. Click **Create chart** → **Chart**. 1. At the top left, click ![image](../../_assets/console-icons/circles-intersection.svg) **Select dataset** and specify the dataset to visualize. If you do not have a dataset, [create one](../dataset/create-dataset.md#create). 1. Select **Normalized area chart** as the chart type. 1. 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. 1. Drag one or more measures from the dataset to the **Y** section. The values will be displayed as areas along the Y axis. 1. Drag a dimension from the dataset to the **Color** section. Colored areas will indicate the share of an individual category in the total measure value. ## Recommendations {#recomendations} * **Labels.** If the category values are too verbose, make them shorter so that the chart labels look neater. You can use string functions in calculated fields or the [CASE](../function-ref/CASE.md) conditional statements. * 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, when comparing budget expenses. {% cut "Chart example" %} ![normalized-area-rec-1](../../_assets/datalens/visualization-ref/normalized-area-chart/normalized-area-rec-1.png) {% endcut %} To monitor the budget spending dynamics by the `Gasoline` category, place it close to the chart base. {% cut "Chart example" %} ![normalized-area-rec-2](../../_assets/datalens/visualization-ref/normalized-area-chart/normalized-area-rec-2.png =800x) {% endcut %} If there is another important category, place it by the upper boundary of the chart. This way the areas will have clear boundaries to help visually compare their values. For example, to compare `Utility bills` and `Rent`. {% cut "Chart example" %} ![normalized-area-rec-3](../../_assets/datalens/visualization-ref/normalized-area-chart/normalized-area-rec-3.png =800x) {% endcut %} * **Splitting.** You can split a chart by dimension into several small, easy-to-compare charts. To do this, drag a dimension from the dataset to the **Split** section. {% cut "Chart example" %} ![normalized-area-chart-split](../../_assets/datalens/visualization-ref/normalized-area-chart/normalized-area-chart-split.png =800x) {% endcut %} * To display the absolute values of variables, use an [area chart](area-chart.md). #### Useful links {#see-also} * [Creating a dashboard in Yandex DataLens](../operations/dashboard/create.md) * [Adding a chart to a dashboard in Yandex DataLens](../operations/dashboard/add-chart.md) * [Adding a selector to a dashboard in Yandex DataLens](../operations/dashboard/add-selector.md)