Editing individual data visualizations in a liveboard

How to edit individual data visualizations in a liveboard in ThoughtSpot

You can individually edit each of your data visualizations by clicking the three dots in the top right corner of the selected tile, and clicking ‘Edit’.

Here, you will be able to view the data visualization and apply desired changes to manipulate the data.

Along the top of your screen, you will see a search bar. This shows the components that make up the visualization, also known as “search phrases”. There are boxes around each search phrase, so you can easily see where it begins and ends. Your search phrases still appear as text when you are typing, but whenever you click out of the search bar, they are boxed. Measures are green, attributes are blue, and filters are grey.

You can add measures, attributes, dates, and formulas to your data visualization by selecting the desired boxes from the left-hand panel. You can filter these columns by popularity, category, and alphabetical order. Once you have selected your columns, these will appear in the search bar at the top of the screen, select ‘Go’ and the changes will be applied to your visualization.

Filtering of values

Whilst creating your visualization, you can start to filter by values you’re interested in.

When selecting a measure, attribute, or date from the left-hand side, by clicking on a component you will see a filter icon appear. Click on the filter icon to filter values.

Visualizing data

You can change the visualization of your data by selecting the top icon in the right-hand panel.

Here, you can select from multiple chart and graph types to best suit the data you'd like to visualize. Some examples of these chart and graph types can be seen below.

In addition to altering the graphics of your data, you can access the data tile’s settings by selecting the cog icon in the right-hand panel.

Under the “Configure” heading, you can amend the Time axis, and the data that is being visualized, as well as the data that is not being visualized, here.

Then, under the “Settings” heading you can access the data visualization’s settings. You can alter the display, including adding or removing data labels, sparkline, and showing data comparison. You can also change what the selected data visualization is being compared with, as well as colors and number of max data points.