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.
Create a visualization from the Data in analysis flyout
To create visualizations, use the Data in analysis or Visualization types flyout, or search for what you want to visualize. A page in an analysis can contain more than one visualization, but to make room for further visualizations, you can add more pages.When you want to explore certain data columns in your data table, and get suggestions on how they can be visualized, you use the Data in analysis flyout to create visualizations.
- On the authoring bar,
click
to open the Data in analysis flyout.
- If your analysis contains more than one data table, select the data table you are interested in from the drop-down list.
- Select the data columns
of interest.
To the right, you get suggestions on visualizations based on the selected data. If you hover over a visualization, you can click MORE LIKE THIS, and similar visualizations are suggested. The visualizations might also show data from other columns, if certain findings related to the selected data are discovered.
- Click, or drag, the visualization you find suitable to the analysis page.
- Explore it as it looks, or adjust it to your needs.
Create a visualization from the Visualization types flyout
Another option is to create visualizations from the very beginning and make your own settings. To learn how to set up the different visualizations from scratch, click the links at the bottom of this page.- On the authoring bar,
click
to open the Visualization types flyout.
- Click, or drag, the visualization type you want to use to the analysis page.
- Adjust it to your needs. For information on the different visualization types, see the links at the bottom of this page.
Create a visualization by searching
You can create a visualization by typing search criteria in a text field.
- Click
Find
on the menu bar.
- In the opened search
field, type what you are looking for in your data.
You get suggestions on visualizations matching your search criteria. The visualizations might also show data from other columns, if certain findings related to the selected data are discovered.
- Drag the visualization you want to use to the analysis page
- Adjust the visualization
to your needs. For example, you can change which data table to base the
visualization on using the data table selector in the legend or in the
Data section of the visualization
properties.
You can also change the axes, the colors or update other properties. For information on the different visualization types, see each section.Note: Some visualization types can only be authored using the installed client.
- The visualization properties panel
Some visualization properties can be accessed from the new visualization properties panel. To open the panel, select . - Titles and descriptions
The default titles for new visualizations varies with the visualization type, and sometimes also with the configuration of the visualization. When the 'Auto Title' option is used, the title of a visualization changes when you configure the visualization differently. If you want a different title, you can specify it in the visualization properties. - Showing gridlines
You can add gridlines to the visualization background to make it easier to get a reading of the value for an item. Gridlines are dotted lines that are drawn horizontally or vertically from the tick marks on numerical axes. - Error bars
Error bars are used to indicate the estimated error in a measurement. In other words, an error bar indicates the uncertainty in a value. Data might not always be precise, for example, in measurement data error margins might exist. When there is a need to visualize the uncertainty in the data, you can use error bars to indicate statistical probabilities of errors, or actual errors. The error bars represent upper and lower limits of the data relative to a value, and they can be added to visualization items such as bars in bar charts, and markers in line charts and scatter plots. - Subsets
With subsets you can compare collections of your data within the same visualization. For example, you can compare all data to the current filtering, or the filtered data to the data that has been filtered out. Subsets are defined in the Subsets section of the visualization properties, and can be added to all visualization types except table visualizations. There are three subsets available by default; All data, Current filtering, and Not in current filtering. - Show/hide items
When you filter out values you change the underlying data used to calculate the items available in a visualization. However, sometimes you might want the calculations to be exactly the way they are, but you are only interested in some of the values in the resulting visualization. This is when you can use Show/Hide Items. - Renderer settings
If the data in a column can be shown as something other than text, like a link, an image, or a shape, you can configure this using the renderer settings (or Show as field) in the visualization properties. The renderer settings is available in some visualizations only, for example in tables, but might also be used in some labels or tooltips. - Trellis
A trellised visualization is split into a number of panels, where each panel represents a subset of the data. Using trellised visualizations, you can spot similarities and differences between the subsets of data, or within the subsets. - Lines and curves
Some of the visualization types can include additional information in reference lines or several different types of curves. Lines and curves can be added in the visualization properties for each applicable visualization. - Adding a zoom slider
Zoom sliders are used to get a closer look at details in your visualization. - Adding or editing tooltip values in a visualization
You can choose what to show in the tooltip when hovering over an item in the visualization. - Adding or editing labels in visualizations
You can show labels for different items within the visualization. Depending on the visualization type, the column to label by can contain regular text (or numbers), a binary column with images, a geometry column, etc. - Adding data limitations for a visualization
The default behavior when adding a new visualization is that it is automatically updated with the filtering on the page. However, it is possible to change the data limiting so the visualization is not changed by filtering at all, or so that it uses another filtering scheme. You can also make the visualization respond to one or more markings in other visualizations (often called details visualizations). Other options to limit the data is by using expressions, or, for streaming data, by specifying time ranges. You can change the data limitation settings under Data in the Visualization properties. - Duplicating a visualization
A copy of a visualization can be created to be used as starting point for creating another similar visualization.
- The visualization properties panel
Some visualization properties can be accessed from the new visualization properties panel. To open the panel, select . - Titles and descriptions
The default titles for new visualizations varies with the visualization type, and sometimes also with the configuration of the visualization. When the 'Auto Title' option is used, the title of a visualization changes when you configure the visualization differently. If you want a different title, you can specify it in the visualization properties. - Showing gridlines
You can add gridlines to the visualization background to make it easier to get a reading of the value for an item. Gridlines are dotted lines that are drawn horizontally or vertically from the tick marks on numerical axes. - Error bars
Error bars are used to indicate the estimated error in a measurement. In other words, an error bar indicates the uncertainty in a value. Data might not always be precise, for example, in measurement data error margins might exist. When there is a need to visualize the uncertainty in the data, you can use error bars to indicate statistical probabilities of errors, or actual errors. The error bars represent upper and lower limits of the data relative to a value, and they can be added to visualization items such as bars in bar charts, and markers in line charts and scatter plots. - Subsets
With subsets you can compare collections of your data within the same visualization. For example, you can compare all data to the current filtering, or the filtered data to the data that has been filtered out. Subsets are defined in the Subsets section of the visualization properties, and can be added to all visualization types except table visualizations. There are three subsets available by default; All data, Current filtering, and Not in current filtering. - Show/hide items
When you filter out values you change the underlying data used to calculate the items available in a visualization. However, sometimes you might want the calculations to be exactly the way they are, but you are only interested in some of the values in the resulting visualization. This is when you can use Show/Hide Items. - Renderer settings
If the data in a column can be shown as something other than text, like a link, an image, or a shape, you can configure this using the renderer settings (or Show as field) in the visualization properties. The renderer settings is available in some visualizations only, for example in tables, but might also be used in some labels or tooltips. - Trellis
A trellised visualization is split into a number of panels, where each panel represents a subset of the data. Using trellised visualizations, you can spot similarities and differences between the subsets of data, or within the subsets. - Lines and curves
Some of the visualization types can include additional information in reference lines or several different types of curves. Lines and curves can be added in the visualization properties for each applicable visualization. - Adding a zoom slider
Zoom sliders are used to get a closer look at details in your visualization. - Adding or editing tooltip values in a visualization
You can choose what to show in the tooltip when hovering over an item in the visualization. - Adding or editing labels in visualizations
You can show labels for different items within the visualization. Depending on the visualization type, the column to label by can contain regular text (or numbers), a binary column with images, a geometry column, etc. - Adding data limitations for a visualization
The default behavior when adding a new visualization is that it is automatically updated with the filtering on the page. However, it is possible to change the data limiting so the visualization is not changed by filtering at all, or so that it uses another filtering scheme. You can also make the visualization respond to one or more markings in other visualizations (often called details visualizations). Other options to limit the data is by using expressions, or, for streaming data, by specifying time ranges. You can change the data limitation settings under Data in the Visualization properties. - Duplicating a visualization
A copy of a visualization can be created to be used as starting point for creating another similar visualization.