Pricing Correlation Analysis (Variation 1)
visualize and analyze data concentration in each segment, its correlation with corresponding variable and show segment averages.
Percentages for each segment are derived from absolute values using formulas and they are auto placed in respective segments.
- 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 report templates for numeric, percentage and currency values, with pre-placed data labels, legends and offbeat markers for engaging presentations.
- Fully functional report template with real world data.
The XY Scatter Plot in above example presents an analysis of 100 bestseller books on Amazon to establish and quantify trends and correlations between number of pages, price and average price.
The 100 dots in this chart represent 100 books. On the X-axis are number of pages segregated in segments of 1 – 100 pages, 101 – 200 pages, 201 – 300 pages and so on. On the Y-axis is price of books. Each X – Y intersection point represents number of pages and price of the book.
From the chart, we can see that about 50% of the 100 bestseller books have 200 to 400 pages.
Books that have 300 to 400 pages command 34% higher average price over books that have 200 to 300 pages. However, the average price increase is just about 6% when we move to 400 to 500 page segment.
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 this report template in minutes for your presentations, irrespective of industry or job function.
PPTX. 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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