A bubble chart is a variation of a scatter chart in which the data points are replaced with bubbles, and an additional dimension of the data is represented in the size of the bubbles. Like a scatter chart, a bubble chart does not use a category axis — both horizontal and vertical axes are value axes.
To create a bubble chart:
- Open your dataset. Take into account that this dataset should include at least two dimensions except for time: for bubbles (with regions, companies etc.) and for data on both axes.
- Select two indicators to plot along the horizontal and vertical axes.
Note: You can also select one more indicator to determine the scale of the bubbles.
Note: If your selected indicators in dataset viewer and they are equally viewable on another chart type, you may need to select bubble chart from the options on the right.
If you want to customize the bubble chart appearance (i.e. swap axes, switch the indicator controlling bubble scale etc.), click the Gear icon to switch to advanced customization mode: 
- Here, you can also identify which dimension will be used as bubbles (B) and indicators (I). In our example, each bubble is a separate country. In other cases, bubbles may be companies, events, cities, and so on.
- You may restrict the selection of bubbles. For example, clear all aggregates and regions and keep only countries.
- To change the axis label names, rename the indicators by clicking the pencil icon.
Other available options for customizing the appearance of your bubble chart:
- Theme (change bubble colors)
- Precision (number of decimal points)
- Legend (appearance, position, and opacity)
- Gridlines (on/off)
- Labels (on/off)
- Log scale. You may want to use log scales for one or both axes if the distribution of values in your chart is not homogenous.
- Group by. In some datasets, if metadata is available, you can also group bubbles by some parameters. For example, countries can be grouped by world regions, such as Africa, Europe, Asia, etc.
- Trend line. Insert a trend line to visualize the dependence between your indicators.
- Quadrant. You may assign a name to each quadrant of the chart.
If you want to see a dependence between two indicators from two different datasets, you can add another dataset to the chart:
- Go to the first tab Dataset Selection.
- Click Browse Datasets.
- Choose a dataset using the filters and tabs to navigate.
- Choose the newly added dataset in the drop-down list at the top of Dimension Filter tab and select an indicator from the dataset.
Note: If you previously selected two indicators in the original dataset, you will need to de-select one of those indicators first to make room for your new selection. You do not need to select countries again - the system will automatically select countries that are mutual to both datasets.