Skip to content

Chart Types

The Query Playground supports a range of chart types designed for behavioral data analysis. Each chart type supports different combinations of measures, dimensions, and other options. Some charts are highly customizable; others are more specialized or purpose-built.

Core Chart Types

These are general-purpose visualizations used across most dashboards and queries.

Measure Group

Measure GroupMeasure Group

A simple, single-dimensional visualization showing only measures—without any grouping or segmentation.

  • Best for: High-level metric snapshots (e.g., total sessions, conversion rate)

  • No dimensions allowed

Measure Funnel

Displays a sequential drop-off between multiple measures. Helps visualize how users progress through different stages of a funnel (e.g., Sessions → Add to Cart → Orders).

  • Measures should be ordered logically (top to bottom)

  • Best for: Conversion flow analysis

  • No dimensions allowed

Table Chart

Table ChartTable Chart

A flexible, standard table visualization showing one or more dimensions with associated measures.

  • Supports sorting and row limits

  • Best for: Auditing data, exporting results, or granular comparison

Heatmap

HeatmapHeatmap

A two-dimensional table chart that visually emphasizes values using color gradients. Measures can be aggregated across both a row dimension and a column dimension.

  • Useful for spotting patterns and outliers

  • Best for: Time-of-day analysis

Column Chart

Column ChartColumn Chart

Displays column bars for a one or more dimensions and one or more measures.

  • Measures are grouped (not stacked)

  • Best for: Comparing values across categories (e.g., countries, browsers)

Stacked Column Chart

Stacked Column ChartStacked Column Chart

Same layout as the Column Chart, but measures are stacked to show contribution within each dimension value.

  • Best for: Visualizing part-to-whole relationships per category

Line Chart

Line ChartLine Chart

Plots multiple measures across one or more dimensions (usually time). Great for showing trends and comparisons over time.

  • Best for: Time series analysis

Area Line Chart

Area Line ChartArea Line Chart

Like the Line Chart, but with stacked area shading to emphasize cumulative values.

  • Best for: Showing overall growth and relative measure contribution over time

Combo Chart

Combo ChartCombo Chart

Same as Line or Column Chart, but designed to be customized further with the Chart Options

  • Best for: Complex combinations of line + column content

Pie Chart

PiePie

Displays a circular chart divided into slices to illustrate proportionate contributions of a dimension across a measure.

  • Best for: Visualizing part-to-whole relationships (e.g., traffic sources, device types)

Bubble Chart

BubbleBubble

A scatterplot-style chart where each point (or “bubble”) represents a data grouping, with position and size based on measure values.

Requires one dimension and two measures

  • Best for: Identifying correlations, distributions, and outliers across multiple variables

Specialized / Custom Charts

These charts are tailored to specific use cases and may have limited customization.

Customer Waterfall

Customer WaterfallCustomer Waterfall

A conversion flow chart showing how users move between behavioral buckets.

  • Only supports the following dimensions:

    • Session End Date

    • Purchase Count Prior to Visit

    • Purchase Count Prior 7 Days

    • Visit Count Prior 7 Days

  • Best for: Conversion and engagement path analysis

Stream Table

StreamsStreams

Displays statistics on the performance of your Fanplayr Streams.

  • Use the Options panel to focus on a specific stream

  • Best for: Stream performance reporting

A/B Testing Table

A/B Testing TableA/B Testing Table

Provides a summary of your Fanplayr A/B testing results.

  • Automatically includes information related to statistical significance of the findings

  • Best for: Reviewing A/B experiment performance

RFM Chart

RFMRFM

Visualizes Recency, Frequency, and Monetary (RFM) segmentation. Helps you understand the distribution of user value and engagement.

  • Best for: Customer lifecycle insights and targeting strategies

Choosing the Right Chart

GoalSuggested Chart
Snapshot of key metricsMeasure Group
Show user journey drop-offMeasure Funnel, Customer Waterfall
Explore data in detailTable, Heatmap
Compare categoriesColumn Chart, Stacked Column, Pie Chart
Analyze time trendsLine Chart, Area Line
Segment users by valueRFM Chart
Visualize stream or test resultsStream Table, A/B Testing Table
Visualize relationships in dataBubble Chart

Editing Chart Options

Different visualizations can have a different set of options, though most allow you to select a color scheme.

Axis Settings

Combo Chart OptionsCombo Chart Options

The settings visible in the screenshot above are applicable to the following chart types:

  • Column Chart
  • Stacked Column Chart
  • Line Chart
  • Area Line Chart
  • Combo Chart

You can customize various elements of these charts in the options tab. Selecting one of the chart types above is essentially telling the system to "default" the options here to certain pre-defined settings. This means that you can make a "Line Chart" look exactly like a "Column Chart" by changing all axes from "Line" to "Column".

  • Stacked: Whether to stack the resulting applicable lines / columns
  • Left / Right Axis: Render any data bound to the left / right axis as "Column" or "Line". This can be different between axes.
  • Axis Assignment: For each measure, you can choose which axis in which to bind the data. For example, you may want to bind a small percentage value like "Conversion Rate" to one axis, while keeping a larger value like "Non-Bounces" on a separate axis.