Pivot table
The pivot table view displays search results as a statistics chart that summarizes the data and provides insightful aggregations. It offers several visualization types (area chart, bar chart, heat map, and so on) and several aggregations (balance, first, maximum, and so on).
Fields
To add a field to the pivot table:
- In the Field section, click Add .
Configure the following parameters:
Field Type Description Value Mandatory Field Drop-down list Defines a table field. List of available fields. Yes Position Radio buttons Sets the field position. None / Row / Column Yes Click Save.
Visualization
To configure the Pivot table visualization:
- In the Visualization zone, click Add .
- In the Type drop-down list, select an option.
- To enable the desired aggregation, click the applicable switch to turn it on.
- If you configured several aggregations, select Default next to an aggregation to set it as the default aggregation.
- Click Save.
Visualization options
The following table lists the available visualization options.
| Visualization | Description |
|---|---|
| Area Chart | An area chart displays graphically quantitative data. It is based on the line chart. |
| Bar Chart | A bar chart or bar graph is a chart or graph that displays data in rectangular bars with heights or lengths equivalent to the values that they represent. |
| Col Heatmap | A column heat map shows the magnitude of data in a column as color in two dimensions. |
| Column Chart | A column chart displays categories along the horizontal axis and values along the vertical. |
| Heatmap | A heat map shows the magnitude of data as color in two dimensions. |
| Line Chart | A line chart is a type of chart that displays information as a series of data points connected by straight line segments. |
| Row Heatmap | A row heat map shows the magnitude of data in a row as color in two dimensions. |
| Stacked Bar Chart | A stacked bar chart is a graph used to break down and compare parts of a whole. Each bar in the chart represents a whole, and segments in the bar represent different categories of that whole. |
| Stacked Column Chart | A stacked column chart is used to compare the contribution of each value to a total across categories. The column in a stacked column chart is divided into categories, with each column representing a total. |
| Table | A table is a collection of related data held in a table format. |
| Table Barchart | A table bar chart is a chart or graph that displays the collection of related data in rectangular bars. |
| TreeMap Chart | A tree map is an arrangement of rectangles that shows the hierarchical structure of data. |
Aggregations
After selecting a visualization, you can enable one or multiple aggregations by using the toggle switches. You can also select an aggregation as default.
The following table of fields provides the basis for aggregation.
| Aggregations | Number of fields required | Description |
|---|---|---|
| Average | One field | Aggregate refers to the total sum of elements in a data set. |
| Balance | One field | Balance is the sum of data, with cost expressed as a negative value and budget as a positive. |
| Count | No field | Count is the total number of data points. |
| Count as Fraction of Columns | No field | The fraction of the number of data points in respect of the number of data points for the entire column. |
| Count as Fraction of Rows | No field | The fraction of the number of data points in respect of the number of data points for the entire column. |
| Count as Fraction of Total | No field | The fraction of the number of data points in respect of the number of all data points. |
| Count Unique Values | No field | The total number of unique data points. |
| First | One field | First returns the first value of each column. |
| Integer Sum | One field | The sum of the data points converted to integers. |
| Last | One field | The last value of all data points. |
| List Unique Values | One field | Lists all unique data points. |
| 80% Lower Bound | One field | 80% lower bound value means a parameter value from a distribution of such values within the lowest 80% of that distribution. You must use 80% lower bound with another aggregation; otherwise, it returns an error. |
| Maximum | One field | The maximum value of all data points. |
| Median | One field | The middle value of all data points. |
| Minimum | One field | The minimum value of all data points. |
| Sample Standard Deviation | One field | A sample standard deviation indicates the spread of data points, calculated from the typical distance between each data point and the mean. |
| Sample Variance | One field | A sample variance indicates the variation of all data points. |
| Sum | One field | The sum of the data points. |
| Sum as Fraction of Columns | One field | The sum of the data points in respect of the number of data points for the entire column. |
| Sum as Fraction of Rows | One field | The sum of the data points in respect of the number of data points for the entire row. |
| Sum as Fraction of Total | One field | The sum of the data points in respect of the total number of data points. |
| Sum over Sum | Two fields | The sum of one set of data points divided by the sum of another set of data points. |
| 80% Upper Bound | One field | 80% upper bound value means a parameter value from a distribution of such values, which is within the highest 80% of that distribution. You must use 80% upper bound with another aggregation; otherwise, it returns an error. |
Note
For information on how to display a budget as a pivot table, see Display the budget as a pivot table.
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