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How to Create Pie Chart
Aim of this article | Explains how to define a Pie chart (circular chart divided into sectors, illustrating numerical proportion). |
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Related sections |
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Steps:
- Go to Analytics > Data Analyzer > Pie.
- Enter the name of the data series in the Label field.
- (Optional) Enable the Hide data labels checkbox to hide the variable values.
Choose the data source from the Datamart drop-down list. If there is only one Datamart defined, this one will already be selected.
(Optional) Enter a Currency. If not specified, the currency that has been selected as default when setting up the system will be used.
- You can set up the Generic filter (all dimensions, dates and values):
- Click the Create filter link, a new window will open.
- Specify the filter criteria. All fields defined in the Schema Editor can be used. Click OK to activate the filter.
(To deactivate the filter, click Edit filter and Reset. This deletes all filter criteria.)
 Click the Refresh  icon at the bottom left on the Data Rows tab to activate the filter after any changes to the filter criteria.
- Set up filtering on master data if needed:
- Product filter allows you to filter by all attributes from the product master data.
Customer filter allows you to filter by all attributes from the customer master data. Only the filtered data will be used in the analysis.
- You can set up a Dim filter:
- Select the filter dimension from the drop-down list.
- Click the Add  icon to add the filter. You can add up to twelve Dim filters.
- You can limit the range of the displayed data to a certain percentage, percentile or a number of data rows of any variable. The rest of the data will be displayed in the chart grouped as Other. If these uncategorized data distort the proportions of the whole chart, you can hide it using the Hide 'Other' data option.
- Select the Categories from the drop-down list. Each measure will be shown as a slice of the pie chart. Only data fields marked as Dimension in the Datamart can be selected as the category.
- Select the Size from the drop-down list. Size defines the variable that determines the size of each slice.
- Specify the value for the Size. The value can be defined as the total amount, per unit , percentage of the base value , contribution  or as a formula . For details, see Common Chart Settings.
Define Sort By according to the Categories or Size. Click the Ascending  icon to select whether the values will be sorted in ascending or descending order.
- Determine the data formatting and labels:
- You can change the label and the format by clicking the Dictionary  icon(see Date, Time and Number Formatting).
- If a text is entered in the Label field, then this label will be shown. Otherwise the default value will be used.
- (Optional) You can define additional pie chart:
- Click the Add  icon to add a new pie.
- Select a Measure from the drop-down list.
- Specify the value for the Aggregation. The value can be defined as the total amount, as a percentage of base value , per unit  or as a formula . The base value for the calculation of 'percent value' and the 'per unit value' is defined and managed in the Schema Editor.
- Repeat the process until you have defined all additional readings.
(Optional) Click the Add Data Series  icon at the top of the Series 1 tab (details) to compare with other data series. There is no limit to the number of series that can be compared.
Click the Refresh  icon to update the chart.
- (Optional) Create an Aggregation filter that allows you to filter the Datamart query results, i.e., to determine, which values will be shown in the chart.
- You can print or download the chart as image (*.png, *.jpeg), document (*.pdf) or vector image (*.svg) by clicking the Context  icon at the top right.
You can click on a slice to detach it from the pie chart. Then you can make further analysis of the selected slice by clicking the Categories option. Additional dimension will appear below the field of additional readings. By clicking on a dimension in the table, you can go back to any of the previous chart displays.
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