This is a guest post by Paresh Shah
In his latest book, Now You See It
On pages 165 and 166 of the book, Few discusses how grouping related time intervals can facilitate analysis of data. As an illustration he explains that when viewing data of daily website visits, it helps in separating weekdays and weekends to differentiate expected traffic during these periods. The use of this technique would make it easier for the analyst to identify any anomalous movement in ether the weekend or the week day.
Fortunately excel combo charts can help you do that.
Given below is a combination chart of daily visits to a web site [ hypothetical ] where in the days of the week are shaded. The website visit data has been plotted as a line chart.
The website visit data has been plotted as a line chart. The shading has been achieved by using column chart – the data for the secondary series has been plotted on a second axis. A constant data value for Monday to Friday, 3 and a second constant value for Saturday and Sunday, 0 has been assigned for each date of the month. The secondary axis has thereafter been hidden. The maximum value for the second axis has been manually set at 3 to get the columns to run from the top to bottom and gap between the columns has been set to zero [ Format data series ->Gap width->No Gap ]. The secondary axis has thereafter been hidden.
The concept can be used for other groupings too, months grouped by year, by quarter etc without too much effort.
Download this excel combo chart and play with it to learn more
Click here to download the tutorial workbook and learn by changing things.
Added by PHD
Thank you Paresh. That is an innovative way to achieve zebra lines / bands on the charts to group related events.
Hello there, my dear reader, if you have enjoyed this charting trick, say thanks to Paresh.
Further Resources on Excel Combo Charts
- Excel combo charts – What are they and how to make one?
- Make a combination chart in Excel in 15 seconds
- Using combination charts to make a timeline to show project milestones [project management using excel]
PS: the link to Now You See It
6 Responses to “Nest Egg Calculator using Power BI”
Wow! What a Powerful article!
Hello Chandoo Sir
your file does not work with Excel 2016.
how can I try my hands on this powerful nest egg file ?
thanks
Ravi Santwani
@Ravi... this is a Power BI workbook. You need Power BI Desktop to view it. See the below tutorial to understand what Power BI is:
https://chandoo.org/wp/introduction-to-power-bi/
As always, superb article Chandoo... 🙂
Just one minor issue:
While following your steps and replicating this calculator in PowerBI, I found that the Growth Pct Parameters should be set as "Decimal number" not "Whole Number"
OR
we have to make corresponding adjustments in the Forecast formulas (i.e. divide by 100) to get accurate results.
You are right. I used whole number but modified the auto created harvester measure with /100 at end. Sorry I did not mention it in the tutorial.
Instead of
[Growth Pct 1 Value]/12
the monthly rate has to be
(1+[Growth Pct 1 Value])^(1/12)-1
It's a slight difference but in 30 years the future value will be $100k less.