How to plot Pie Chart in Statistica Visualization Dashboard?
Article ID: KB0082757
Updated On:
| Products | Versions |
|---|---|
| Spotfire Statistica | 13.0, 13.1, 13.2, 13.3, 13.3.1 |
Description
How to plot Pie Chart in Statistica Visualization Dashboard? Let's plot a simple pie chart for illustration.
Environment
Windows
Resolution
For example, plot a simple pie chart for variable "Gender" in a dataset to visualize the frequency/percentage of Female and Male.
1. In Statistica, go to "Home | New | Dashboard" to create a new dashboard
2. The dashboard dialog opens. Click on the "+" sign to select a data source for the analysis, for example, click on "Statistica Spreadsheet" to browse and choose example dataset Adstudy.sta.
3. The spreadsheet is displayed in dashboard. Click on "OK" at the bottom to import the dataset to the dashboard for further graph plotting.
4. On the right panel, draw a rectangle, the graph selection dialog appears. Select a "Pie Chart" for illustration.
5. From the variable list on the left panel, select the variable "Gender", Drag all the way to "Breakdown" in the graph on the right panel, and release the mouse. Make sure a sign of "+" within a small square box show up together with the mouse when you are dragging the variable. "GENDER" appears under "Breakdown" if the variable dragging is successful.
6. Continue select variable "Gender" from left panel variable list, and drag to "Color" in the graph. Make sure a sign of "+" within a small square box show up together with the mouse when you are dragging the variable. Click on the downward arrow on the left of "Color" to display the drop-down dialog, where "GENDER" is listed if the variable dragging is successful. User can choose the colors to display in the pie chart for categories Female and Male.
7. Continue select other variables in the dataset, for example, "MEASURE01" and drag to "Size" in the graph. Make sure a sign of "+" within a small square box show up together with the mouse when you are dragging the variable. Click on the downward arrow on the left of "Size" to display the drop down dialog, where "MEASURE01" is listed if the variable dragging is successful.
User can edit "Variable Title", e.g. to "Percent" as label of the category percentages.
User can select "PercentOfTotal" from "Aggregate" drop-down menu, since we want to look at the percentage of Female and Male in the dataset.
User can select the format (e.g. 0%) to represent the category frequency/percentages.
User can select "Dynamic Range" or specify "Fixed Range" for value range of the category percentages.
8. Continue click on the downward arrow on the left of "Details" to open the drop-down dialog:
Tick "Select Size" for "Visualization" to display percentage labels in the pie chart, e.g, "Percent: 40%" for Female and "Percent: 60%" for Male as shown in below figure.
Tick "Select Color" for "Visualization" to display the color labels in the pie chart, e.g, "GENDER: Female", "GENDER:Male" as shown in below figure.
9. Once above is done, a simple pie chart is generated to visualize the frequency/percentage of Female and Male for Gender in the dataset. User can edit the graph title as well.
1. In Statistica, go to "Home | New | Dashboard" to create a new dashboard
2. The dashboard dialog opens. Click on the "+" sign to select a data source for the analysis, for example, click on "Statistica Spreadsheet" to browse and choose example dataset Adstudy.sta.
3. The spreadsheet is displayed in dashboard. Click on "OK" at the bottom to import the dataset to the dashboard for further graph plotting.
4. On the right panel, draw a rectangle, the graph selection dialog appears. Select a "Pie Chart" for illustration.
5. From the variable list on the left panel, select the variable "Gender", Drag all the way to "Breakdown" in the graph on the right panel, and release the mouse. Make sure a sign of "+" within a small square box show up together with the mouse when you are dragging the variable. "GENDER" appears under "Breakdown" if the variable dragging is successful.
6. Continue select variable "Gender" from left panel variable list, and drag to "Color" in the graph. Make sure a sign of "+" within a small square box show up together with the mouse when you are dragging the variable. Click on the downward arrow on the left of "Color" to display the drop-down dialog, where "GENDER" is listed if the variable dragging is successful. User can choose the colors to display in the pie chart for categories Female and Male.
7. Continue select other variables in the dataset, for example, "MEASURE01" and drag to "Size" in the graph. Make sure a sign of "+" within a small square box show up together with the mouse when you are dragging the variable. Click on the downward arrow on the left of "Size" to display the drop down dialog, where "MEASURE01" is listed if the variable dragging is successful.
User can edit "Variable Title", e.g. to "Percent" as label of the category percentages.
User can select "PercentOfTotal" from "Aggregate" drop-down menu, since we want to look at the percentage of Female and Male in the dataset.
User can select the format (e.g. 0%) to represent the category frequency/percentages.
User can select "Dynamic Range" or specify "Fixed Range" for value range of the category percentages.
8. Continue click on the downward arrow on the left of "Details" to open the drop-down dialog:
Tick "Select Size" for "Visualization" to display percentage labels in the pie chart, e.g, "Percent: 40%" for Female and "Percent: 60%" for Male as shown in below figure.
Tick "Select Color" for "Visualization" to display the color labels in the pie chart, e.g, "GENDER: Female", "GENDER:Male" as shown in below figure.
9. Once above is done, a simple pie chart is generated to visualize the frequency/percentage of Female and Male for Gender in the dataset. User can edit the graph title as well.
Issue/Introduction
This article instructs how to plot a simple pie chart in Statistica visualization dashboard.
Feedback
Yes
No
Powered by
