Create a scatter chart in everviz
Follow the steps in this article to create a scatter chart in everviz.
Scatter charts are great for seeing correlations and trends between variables. The variables form coordinates which are then used to plot a dot on chart.
The example we’ll create lets us see the sales performance of an employee during each month of the first half of the calendar year. We can then use the scatter chart to judge the consistency of the employee’s sales performance.
To create a scatter chart
Launch the project wizard and select Chart to launch the chart wizard
Select Scatter from the Chart type section to the left of the chart wizard’s screen. Notice that the preview pane changes to reflect the chart type you’ve chosen
Click Next to move to the Data step where you can enter the data for your chart
Click the top-left cell (A1) in the data table and press CTRL+A to select all the data in it
Press the delete key to remove the example data
Copy this example data and paste it into the data table at the top-left cell (A1). You’ll see the newly added data reflected in the preview chart
Click Next to move to the Design screen where you can choose a theme for your chart. Click an available theme to see how it looks, or stick with the default theme
Click Next to move to the Text & Annotations screen where you can add contextual information to your chart, such as a title, axis labels and a caption
Click Next to move to the Save or Publish screen where you can save your chart for later amendment or use, or publish your chart
Alternatively, you can click the Continue in Editor button to edit the chart further with more granular options
Expected data format
X | Series 1 (Y) | Series 1 (label) | Series 2 (Y) | Series 2 (label) |
---|---|---|---|---|
2010 | Label | 2020 | Label | |
23 | 19 | Natural Disaster | ||
25 | 18 | Ocean Plastic | ||
24 | 25 | Nuclear Disaster | ||
23 | 22 | Climate Change | ||
26 | 23 | Overfishing | ||
25 | 19 | Natural Disaster | ||
24 | 19 | Ocean Plastic | ||
26 | 30 | Nuclear Disaster | ||
24 | 17 | Climate Change | ||
25 | 18 | Overfishing |
|