Working with visualizations
When a new visualization is created, a suggestion of what to visualize is created by default. You can then modify the visualization to show the values you are interested in by changing the columns shown on various axes, changing the aggregation, the coloring, etc.
Columns and aggregations are changed using the column selectors directly in the visualization, whereas appearance settings are specified using the visualization properties. Right-click the visualization, and select Properties in the opened menu, to change properties.
- Adding and configuring a visualization
Data can be of many different kinds. Therefore, to present the data in the best way, there are several types of visualizations available. - The Visualization types flyout
The Visualization types flyout gives you an overview of all the visualization types that are available to you. You can add a visualization to your analysis by clicking the visualization or using drag-and-drop. - Visualizations
There are a number of different visualization types available in Spotfire, and which to choose depends on your data and what you want to show. If you cannot find the type of visualization you are looking for directly, you can also look for visualization mods on the Community, or create your own mod. - Selecting columns on an axis
When creating a visualization, you select which data columns to show on various axes such as on the X-axis, the Y-axis and the color axis. - Legend
The legend provides information that helps the viewer identify what is represented in a visualization. You can decide whether or not the legend should be visible. - Marking
The action of marking visualization items means selecting parts of the data that you find of certain interest to examine in more detail, or to work at in various ways. To gather the marked items, and to recognize them as marked, they are associated with a certain marking. - Working with colors
Colors can be used to add further information to a visualization. You can color items to, for example, draw attention to certain items, distinguish particular categories of data, present variation in values, or identify outliers. - Information and warnings
If something is off, you might see information or warning icons in different places in the analysis. You can often hover over the icon, or click on it, to see more information.
- Adding and configuring a visualization
Data can be of many different kinds. Therefore, to present the data in the best way, there are several types of visualizations available. - The Visualization types flyout
The Visualization types flyout gives you an overview of all the visualization types that are available to you. You can add a visualization to your analysis by clicking the visualization or using drag-and-drop. - Visualizations
There are a number of different visualization types available in Spotfire, and which to choose depends on your data and what you want to show. If you cannot find the type of visualization you are looking for directly, you can also look for visualization mods on the Community, or create your own mod. - Selecting columns on an axis
When creating a visualization, you select which data columns to show on various axes such as on the X-axis, the Y-axis and the color axis. - Legend
The legend provides information that helps the viewer identify what is represented in a visualization. You can decide whether or not the legend should be visible. - Marking
The action of marking visualization items means selecting parts of the data that you find of certain interest to examine in more detail, or to work at in various ways. To gather the marked items, and to recognize them as marked, they are associated with a certain marking. - Working with colors
Colors can be used to add further information to a visualization. You can color items to, for example, draw attention to certain items, distinguish particular categories of data, present variation in values, or identify outliers. - Information and warnings
If something is off, you might see information or warning icons in different places in the analysis. You can often hover over the icon, or click on it, to see more information.