Stock Chart with High, Low and Average Values
visualize, analyze and compare high, low and average values for any data.
Excel based datasheet
- 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.
The chart in above example shows high, low and average cost per lead for 8 lead generation sources.
The lead generation sources/categories are plotted on X-axis. The range between highest and lowest cost per lead for each source is plotted on Y-axis and is represented by a dumbbell shaped bar.
Average cost per lead for each source is represented by a diamond shaped marker.
From the chart, we can instantly make out that social media has lowest average cost per lead. However, it is important to also look at lead conversion rate for each source.
To edit chart data, 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 category data in column A (plotted on X-axis), highest value data in column B, lowest value data in column C and and average value data in column D (data series plotted on Y-axis).
- The template has data for 8 categories. Add or delete number of categories as required.
- 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.
PPTX. Compatible with PowerPoint 2010 and above.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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