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Charts are the perfect way to visualize snapshots of your data. Select the exact variables you want to see, and quickly generate bar graphs, line charts, and pie charts that display the exact data you need.


Here are two primary ways to add a new chart in Mapline:

  • Visit your Charts Library and click the orange Add New Items button in the righthand sidebar.
  • Click the Mapline logo from anywhere in Mapline and select New Chart from the dropdown menu.


Name your chart, then click the orange DONE button at the bottom-right of the Name Report window.

Your new chart opens automatically, so you can start customizing it right away.

It’s a good idea to choose a name that reflects the purpose of your chart. However, if you change your mind, you can always change the name later.

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Pro Tip: Every new chart auto-saves to the Charts Library, where you can access it any time.


Mapline charts are a powerful way to glean valuable data insights and share them with your team!

Configure your chart to display the exact information you need. When you’re done, download your chart as an image or share it with your colleagues!


All of your dataset columns appear in this section of the chart sidebar. To set up your chart, drag the desired fields into the X-Axis, Y-Axis, or Segments sections.


This is where you customize the X-Axis of your chart. Say we want our X-Axis to show insurance policy values. In this example, we’ll drag the Policy Value column from the Chart Fields section to the X-Axis Fields section.

Bam! You’ve got every policy value listed in the X-Axis of your chart.

Y-Axis Fields

Here, determine the fields you want represented in the Y-Axis. In this example, we want to see the customer’s risk index compared to policy value. So, we’ll drag the Policy Risk Index field to the Y-Axis section in the sidebar.

Now, we can see the risk index of each policy, segmented out by policy value. How easy was that?


Now, you’ll determine whether to further segment your data by sub-category. For example, to break up our chart by policy type, we’ll drag the Policy field to the Segments Field section.

There you go! Now every policy value in the chart is broken out into different colors representing the 3 different policy types from our source dataset. That’s pretty sweet!