Hi, 2 questions from me: 1. how can I do a line chart in which lines are colored based on a dimensional value 2. how can I create a line chart which segments on 2 different dimensions? Background: I have cohort data about an A/B Test. I have grouped all sessions starting on a specific day grouped into a cohort, and then I have conversion numbers for the following 60 days for each cohort. I want to do a chart that shows 1 line per cohort per A/B test variation. X-Axis shows the date, and Y-Axis shows the accumulated number of conversions for the cohort. I was able to create a cohort diagram without the A/B Test Variant, and with every cohort colored differently. Now I’d love to add the split by cohort and I’d like to color by A/B Test Variant. Is this possible?

Hi Thomas, this might depend on how your Data Model is configured; Is the A/B Test Variant an Attribute (any string) or a Fact (numeric)? How is the data presented there? But from your description, I think you’d be looking to build a line chart that: • Has the Date dimension in the Trend by section (the X axis) • The A/B Test Variant resultsin the Metric section (in order for this to work, this metric would need to return a numeric value) • And then Segment by the Cohorts The fundamental bit of that is that to get all 3 things in the line chart you need to have use the Metric section, which requires a Metric returning a numeric value. That might be a challenge, if the A/B Test Variant data is not numeric in the first place Once you have the line chart going, you can use the Configuration section to select the colors for each Cohort. --- As for the custom visualization question, it can be done via Dashboard Plugins, which can be developed from your end via our SDK. See this article for some more info!

@Francisco Antunes So far I had the variant as an attribute, which obviously doesn’t work. I’ll try it as a metric, even though I don’t fully understand how that would help me. In the metrics section so far, I have so far the conversion numbers. Having a second metric for the a/b test variant sounds weird (it will always be either 0 or 1). Lets see what I get

Yes, the segment by section limits the number of metrics to one. I see what you mean. I assume the A/B variant attribute only has 2 possible values (A or B 🙂); So in this case, you would be looking to have a line for each Cohort per Test A or B (basically splitting the Cohorts into the variant they took, correct?), displayed over time. Since A/B and Cohorts are different attributes, I don’t think what you’re looking for can be achieved on a line chart; You can either get the conversion numbers for each test type, or the numbers for each Cohort. How about adding a filter with the A/B test variant where you can select whether it’s A or B? This would not show all the datapoints per Cohort per Test, but it would give you the two results to compare;

I’d need to see them simultaneously. Can I combine two attributes into one via MAQL?

It’s not possible to combine them via MAQL; MAQL’s main use is to create Metrics which must have a numeric result, so it doesn’t help in this case. To get the result you are looking for (on a line chart), I think you’d need to have a combined attribute in your data to start with: where the values are Cohort 1-A, Cohort 1-B, Cohort 2-A, and so on. Otherwise, the Line Chart limitation where you can only Segment By a single attribute will prevent you from getting the result you want. Again, this is a limitation of this visualization type; A Pivot Table, for example, would allow you to display all of the data you need, but it would be a different look altogether.

I’ll have a look at the pivot as well then

For fixed number of cohorts it is also possible to add multiple metrics in the insight and filter each of them differently using one or more attribute filters. e.g. • metric1 (cohort=cohort 1, test variant=A) • metric1 (cohort=cohort 1, test variant=B) • metric1 (cohort=cohort 2, test variant=A) • metric1 (cohort=cohort 2, test variant=B) Then you can assign different colour for each metric and give it descriptive alias.