Scatter Plot with Data Segment Averages Highlighted
present correlation between two variables and highlight average values.
- Use this template when you need to present high level findings of analysis, where showing segregation of individual data points is not important.
- Average values are derived from absolute numbers using formulas.
- Pre-built data setup with comments, so that you don’t have to spend time figuring out how to setup data correctly.
- Uncluttered charts with professional formatting and styles that automatically adopt to your data, so that you don’t have to find, learn and fine tune tens of hidden settings.
- Out-of-box single/dual axis charts for numeric, percentage and currency data, with pre-placed data labels, legends and offbeat markers for engaging presentations.
- Fully functional data chart with real world data.
Correlation between number of pages of books and price point.
To edit this chart template, execute following steps.
- Right click on the chart to open chart menu. Click Edit Data. This will open the linked Excel sheet (see video below).
- Enter variable 1 data in column A. This data is automatically grouped into segments using formulas. The segments form the X-axis of the scatter plot.
- Enter variable 2 data in column B. These values form the Y-axis of the scatter plot.
- Individual data points of variable 1 are plotted at the intersection point of variable 1 and variable 2.
- The average value of variable 2 corresponding to each X-axis segment is derived from numeric data. Preformatted markers with average value data labels are automatically placed in respective segments, at corresponding intersection points.
- Close the Excel sheet.
The following video shows how you can easily edit data and customize the PowerPoint chart template in minutes, for any report or data analysis presentation, irrespective of industry or job function.
Compatible with PowerPoint 2013 and above. This template requires moderate knowledge of Excel formulas and functions.Instant access and download. Can be saved as PDF, PNG, JPG to insert in MS Word or in other documents or to use on websites and blogs.
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