Selecting a Visualization
If you hover the mouse over the bar, the individual icons will “light up,” and a label tells you which visualization type the icon represents:
The last icon in the list looks like this:
This isn’t actually a visualization type; instead, click the three dots to display additional options:
When you create a new Explore, the column chart icon is selected by default; however, you can change the visualization type at any time just by clicking a different icon. For example, suppose your visualization starts out looking like this:
Click the pie chart icon, and your visualization will instantly change to this:
- Change the visualization type to Table.
- Go to the Data section, click the Options icon for each column in the table and then click Hide from Visualization:
If you hide each column then your Visualization section will be blank:
But, again, we aren’t really sure why you’d want to do this.
True, you probably don’t want to hide all the columns in a visualization, but you might want to hide an occasional column. For example, suppose you have a table that reports the web browsers used to access your site:
In this case, you might only be interested in the percentages and not in the raw values; however, you need the raw values in order to calculate percentages. If so, then all you have to do is hide the Count column:
Although you can select any visualization type for any Explore, the visualization you can actually use vary depending on your dataset. For example, suppose you have an Explore that uses a pivot:
If you want, you can easily change the chart type to Donut Multiples:
However, you can’t change to a pie chart:
That’s because the underlying dataset doesn’t work with a pie chart. Try switching to a map chart and you’ll get the same net result:
Regardless of the visualization you pick, that visualization comes with a number of formatting options. If you click the Edit icon on the right side of the chart, a menu similar to the following will appear:
Each chart type has own unique set of options; for more information, see our Visualizations Reference.