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title: Polyline map in DataLens On-premises
description: >-
In this tutorial, you will learn how to create and customize the polyline map
visualization type in DataLens On-premises.
vcsPath: en/visualization-ref/polyline-map-chart.md
---
# Polyline map in DataLens On-premises
A polyline map is a type of geolayer on a **Map** chart that lets you draw polylines on the map. A polyline consists of points connected in a certain order.
A polyline map is used, for example, to show the path of a moving object.
To build a polyline map, you need the following data:
* Coordinates of line points of the [Geopoint](../dataset/data-types.md#geopoint) data type. Each point of each polyline must be stored in a dataset as a separate row.
* A field or a set of fields to group points into lines (each line's ID).
* A field to sort the order of points in each line (such as a timestamp or point number).
You can color polyline segments in one of the following ways:
* In a gradient by measure (for a example, an average speed in a point).
* In discrete colors by dimension (for example, by trip name).
## Wizard sections {#wizard-sections}
Wizard section| Description
----- | ----
Polylines (Geopoints) | Measure of the [Geopoint](../dataset/data-types.md#geopoint) type
Measures | Measure. The value displayed when you hover over a point.
Grouping | Dimension. Defines a group of points forming a polyline.
Colors | Dimension or measure. Affects the intensity of line segment fill. A segment is filled in from the originating point.
Order | Dimension. Defines the order for connecting points within a group.
Layer filters | Dimension or measure. Used as a filter for the current layer.
Filters | Dimension or measure. Used as a filter for the entire chart.
## Creating a polyline map {#create-diagram}
To create a polyline map:
{% 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.
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.
1.
In the left-hand panel, select **Charts**.
1.
Click **Create chart** → **Chart**.
1.
At the top left, click **Select dataset** and specify the dataset to visualize. If you do not have a dataset, [create one](../dataset/create-dataset.md#create).
1.
Select **Map** for the chart type.
1. Select the **Polylines (Geopoints)** layer type.
1. Drag a dimension of the [Geopoint](../dataset/data-types.md#geopoint) type from the dataset to the layer type selection section.
1. Specify a group of points that defines polylines. Move the measure to the **Grouping** section.
1. Define the order for connecting points within the group. Move the measure to the **Order** section.
1. Color the line on the map. Move the measure or dimension to the **Colors** section.
{% note info %}
You can show a particular area on the map using the **Center** and **Scale** [settings](../concepts/chart/settings.md#common-settings).
{% endnote %}
You can also:
* Add, rename, and delete a layer.
* Apply a filter to the entire chart or one layer.
## Recommendations {#recomendations}
* Reduce the number of route points at the source level if there are too many of them. To do this, use a chart-level filter. This will speed up map loading and rendering.
* Use the [MAVG](../function-ref/MAVG.md) moving average function to smooth measure outliers of individual points/sections.
For example, when building a line representing average speed using the `MAVG([speed],2,2)` function, the speed measure values are averaged out in the current point, as well as two points before and two points after it. As a result, the color gradient changes more smoothly.
#### Useful links {#see-also}
* [Creating a dashboard in DataLens On-premises](../operations/dashboard/create.md)
* [Adding a chart to a dashboard in DataLens On-premises](../operations/dashboard/add-chart.md)
* [Adding a selector to a dashboard in DataLens On-premises](../operations/dashboard/add-selector.md)