Charts

Big Data Discovery provides several types of charts to use to visualize data and the distribution of data values.

Box Plot

A Box Plot provides a capsule summary of values for a metric for each value of another attribute. For example, you can show a summary of the values for Number Ordered against each value of Product Category.

For a Box Plot, users can select:

• The view to use
• The metric to plot on the Y axis
• The dimension to plot on the X axis

Chart component

The Chart component displays data using standard chart formats, including:

• Bar charts
• Line charts
• Area charts
• Pie charts
• Scatter charts (including binning as an option to scatter charts)
• Bubble charts

Users may be able to select different metric or dimensions in order to change the chart display. They can also save the currently displayed chart as an image.

The Chart component configuration includes:

• The chart type
• The dimensions and metrics to display on the chart
• The chart style, including options for displaying the chart legend and axes
• Whether end users can change the chart metrics and dimensions

Histogram Plot

A Histogram Plot is a basic visualization for showing the distribution of values for a single metric. The values are grouped into bins, each representing a range of values. Users can then see the number of values within each range.

For a Histogram Plot, users can select:

• The view to use for the chart data
• The metric to plot on the X axis
• The type of histogram to display
• The number of bins to display on the X axis

Parallel Coordinates Plot

The Parallel Coordinates Plot plots the values of multiple metrics for each value of a single dimension.

For a Parallel Coordinates Plot, users can select:

• The view to use for the chart data
• The metrics to display on the chart. For each metric, you also select the aggregation method to use.
• The dimension to use