It all began with my Excel Dashboard Tutorial – Making a dashboard with player statistics. I have used bar charts with axis whose minimum is not zero, to create a dramatic effect in the charts. See below:

Jon Peltier commented saying that,
Rule #1: Bar and column chart value axes should start at zero. Since the lengths of bars and columns represent their values, starting at a position other than zero will lead to a misleading display.
As always Jon raised an excellent point. I liked it so much that I wanted to get your opinions on this axis scaling issue.
What do I think about this visualization rule ?
First the positive points about the rule:
- If you start axis at non-zero values, it gives a wrong impression about the data. In my example above you might end up thinking the top value is actually 10 times that of bottom value.
- The rule helps easy interpretation of data, since everything starts at zero.
Now the negative points about the rule:
- Not all data starts at zero (like the above with values ranging from 8000 to 12000). So when you create a bar chart for the data (why only bar charts, because they are easy to make and read) often you end up creating charts from which making out any analysis could be slightly difficult
- Breaking this rule helps in creating dramatic effect on your charts, one of the reasons we use them. Often when you use data with narrow range, creating dramatic effect could be difficult. Axis adjustments can help (you may want to try logarithmic axis scale as well)
Finally, I think this rule can be broken as long as we have right data and make alternative arrangements (like adding data labels) to ensure correct interpretation. Since this is a standard people have come to expect, it is better to make it clear to your audience about the axis range.
What do you think about the charting rule: Bar and column chart value axes should start at zero.















21 Responses to “Distinct count in Excel pivot tables”
The distinct count option works well but I have found that if I have a date field and want to group by year, month, etc. that option seems to be disabled. I need to do both, distinct count and group by year/month.
Example data; sales orders with item quantities with dates.
Challenge; sum the item quantities, count the distinct orders and group by month. How do I do this?
Perhaps that's not possible due to the grouping?
@Al... When you use data model based pivots, you cannot group values manually anymore. Why not use Excel 2016's default date grouping option? In this case we have just a few dates, so Excel is not grouping them, but if you have an year's worth of data, when you make the pivot with date in the row label area, Excel automatically groups them. If you have fewer dates or want to use your own grouping, just create a table with all dates, add columns with month, week, year etc. Then connect this table (these types of tables are usually called as calendar tables) to your data on date field as a relationship. Now you can create reports by month, quarter etc easily.
Is this the only way to do it in 2013? I find it rather cumbersome to have to create another data table listing dates with the another column for MONTH() and YEAR() to be able to summarise data for senior level...
I know people find adding calendar tables cumbersome, but it is a best practice and let's you add more layers of analysis quite easily. For example, adding analysis by weekday vs. weekend or by financial quarter or YTD calculations (you would need either Power Pivot DAX or some very carefully setup pivot table value field settings)
I had absolutely no idea this was possible. Very useful, nice work!
Doesn't work for 2010 version though (or at least not my works version)
Hi ,
The post has the following in it :
These instructions work only in Excel 2016, Office 365 and Excel 2013.
when i have 2 different Pivot tables, one without the enabled “Add this data to data model” option, and the other one with it enabled.. is there anyway i can link slicers between them?
if the answer is NO,, what to do ?
Quick note, the “Add this data to data model” option is not available for the Mac version.
perhaps outside scope of this article but I have found when I attempt to create a pivot table from an external data source (connection to a sql view) the "Add this data to data model" becomes greyed out. Anybody experienced and found a solution so I can start getting distinct count in my pivot tables?
Is there a way to still add a calculated field when using distinct count?
I found I can't change the date source after tick the " add this data to the data model", can you help to adv how to change the date source in such case?
Is there a way to update the source once you have added to the data model? I receive a new spreadsheet weekly and would like to update the connection so my tables pull from the new source.
Hi Crhis, I like how you have hulk (superhero) as your avatar. Do you know that there is a superhero in Excel too? It's Power Query. You can use it to solve your problem in a simple click. Here an intro if you need some guidance.
Powerful Introduction to Power Query
A big Thank you. It worked.
Hi, have survey data that I need to analyze but the challenge is that my key fields are showing horizontally. I tried to transpose the fields using Power Query, but unfortunately the new fields are returning same values on a pivot table despite using distinct values
How I can a do a pivot table with discount conts in some columns and then generate shor report filter pages. pls it drives crazy
Hi. Why grand total pivot of distinct count is 13? shouldn't it be 67?
Great Answer! Saved me lots of time!
Thank you!!!
Worked awesome! Thanks!!
Hi Chandoo,
I am using pivot tables for distinct count and now I need to update them with new set of data. But when I update the source data, all the columns and formatting of Pivot table disappears and I need to build it from Scratch.
Is there a possibility that I can update the source data with new rows added and also retain my pivot tables?