Excel pivot tables are very useful and powerful feature of MS Excel. They are be used to create instant summaries, reports and data analysis from your raw data.
In this page, learn all about how to create an Excel pivot table and customize it.
Table of Contents
What are Excel Pivot Tables?
A pivot table turns your data into report format. Here is a sample Pivot table from sales data, showing total sales by region.
How to create a Pivot Table?
We will use 2019 sales data of a fictional company. This data contains 466 rows of sales information in columns – Month, Salesman, Region, Product, No. Customers, Net Sales, Profit / Loss. Here is a preview of our data.
Download the sample data & example pivot tables here.
To create a pivot table showing totals sales by region, follow these steps.
- Select any cell in the data.
- Go to Insert ribbon and click “Pivot Table” button.
- Click ok on the next screen.
- You will be taken a new spreadsheet with blank Pivot Table canvas. Here, using the Pivot Table Fields panel set “Regions” field to row label area, “Products” to “Filter” area and “Net Sales” to values area. See below illustration.
Your pivot table will be ready. We can see that “West” is our best region. This is why Pivot tables are easy for finding answers to common business questions.
Two dimensional Pivots - Row & Column fields
You can add fields to both “Row” and “Column” label area of a pivot. Such Pivot Tables are normally called two dimensional pivots. Here is a demo of a two dimensional pivot table showing Total Sales by Region & Sales Person.
Multi-dimensional Pivots - Row & Column fields
You can also add more than one item to “Row” or “Column” label area. This creates a multi-dimensional Pivot Report. Here is one such pivot report showing total sales by Region, Sales Person & Product for selected months.
How to format Pivot Table values?
By default, numbers in Pivot Tables tend to just look like zip codes, without any proper formatting. This is easy to fix though. Simply right click on the values and use “Value Field Settings” to set up the formatting. To set currency formatting for our Total sales by region Pivot Report,
- Go to value field settings
- Click on Number Format button
- Set up the formatting to “Currency”
- Done.
See this illustration.
Sorting in Excel Pivot Tables
You can easily sort pivot report by ascending or descending order of the value. To do this, just right click on the value, select Sort > and specify the order.
Here is an example of sorted pivot report of Number of customers by Sales person.
Filtering Excel Pivot Tables
You are looking at Regional total sales and want to know what the total is for just “RapidZoo” product. You can do this by filtering the pivot table. Excel offers two powerful ways to filter Pivot Tables
- Report filters
- Slicers
Both methods are illustrated below. Read on to learn how to use them.
Filtering with Report Filters
Report filter is a great way to restrict the data that is flowing to your pivot. To set them up, just add the field to “Filters” area in the fields panel. Now, using the filter button next to “Product”, select the product you want.
Here is a quick demo of report filters in action.
Filtering with Slicers
There are a ton of cool features in Excel Pivot Tables, but slicers are hands-down the best feature. At-least, that is what I think. They make filtering and ad-hoc data analysis a breeze.
A slicer is a visual filter. You can add a slicer on any field by right clicking on it from the fields panel. See the illustration “Adding filters to a pivot report” from above.
Once you have a slicer on Product, simply click on any product name to see the report for that.
Here is a quick demo of Pivot Table with slicers.
Other kinds of filtering - Value & Label Filters
Apart from report filters & Slicers, Pivot Tables also allow you to filter by a field or value.
Field or Label Filter: If you don’t want to see “Middle” region in a row label area, just click on the filter button next to “Row Labels” and uncheck the region. This type of filtering is called Label Filtering.
Value Filter: If you want to see just the top 2 regions by total sales, then you need a value filter. Simply go to filter button next to row labels and using value filters, apply a top 10 filter but set it to top 2 values by “Sum of net sales.”
Changing Calculations in Pivot Tables
The default calculation in Pivot Tables is SUM for number fields and COUNT for all others. But you can also customize the calculation easily. Just right click on the value field and choose different type of summary from right click menu.
Changing from SUM to AVERAGE in a Pivot Table
Here is a quick illustration of how to change calculation type from “SUM” to “AVERAGE”.
Pivot Table Layouts & Colors
By default, Excel Pivot Tables are in compact layout. This means, if you add multiple fields to row label area, they will all be shown in same column, with indentation.
You can change the layout of a pivot table to other formats too.
- Compact form (default)
- Outline form
- Tabular form
You can change the layout from Pivot Table Design ribbon.
Here is an example of same Pivot Table in both Compact and Tabular layouts.
Styling & colors of Excel Pivot Tables
You can apply any formatting to the pivot tables. MS Excel has some very good pivot table styles. Just select pivot table cells, go to Pivot Table Design ribbon. See below image to understand various options available.
Visualizing with Pivot Charts
You can use Pivot Charts to visualize the same information in a graphic format. Here is a sample Pivot Chart of Net Sales by Region & Product.
Steps for creating a Pivot Chart:
- Select any cell in the Pivot Table.
- Click on Insert > Chart or Analyze > Pivot Chart button.
- Insert the type of chart you want.
- You will get a Pivot Chart.
Interactive Pivot Chart with Slicers
Slicers make it incredibly easy to create interactive charts. Once you have a regular Pivot Chart, simply add a slicer to it (right click on the field in “Pivot Table Fields” area and select “Add as Slicer”). You now have an interactive Pivot Chart.
Here is a demo of interactive Pivot Chart.
Updating Pivot Tables (Refresh)
Whenever you have new data, just use “Refresh” button to update your Pivot Tables. You can find this button in multiple places.
- Data ribbon
- Pivot Table Analyze ribbon
- On right clicking any Pivot Table
- By pressing ALT+F5 (refreshes single pivot) or CTRL+ALT+F5 (refreshes all pivots)
What if you want to point Pivot to new data?
Select any cell in the Pivot Table and from Analyze ribbon, use the “Change Data Source” button. Point input data to a new source. As long as the new data has same fields, everything will work smoothly.
Pivot Tables in Excel - Complete video tutorial
I have made a 21 minute video explaining how to create, format, customize, visualize, filter and refresh Pivot Tables. This video is packed with many tricks, ideas and inspiration. Check it out below.
Download - Sample data & example Pivot Tables
Please click here to download the sample file for this article. It contains fictional sales data, several example pivot tables, charts and additional resources.
Examine the pivot table settings and use the data to learn more.
Next Steps
Now that you are familiar with Pivot Tables, explore these additional pages to learn more about data analysis & reporting.
Beginner:
- Pivot Table from multiple tables – Data Model & Relationships
- Number and Percentages in same Pivot
- 5 Pivot tables to try when you have too much data
- Sub-totals but only on one level
- Distinct count in Excel Pivot Tables
- How to use Report Filters
Intermediate & Advanced Users:
- All you need to know about Slicers
- 6 Time Saving Pivot Table Tricks
- Advanced Pivot Table Tricks
- Conditional formatting for Pivot Tables
- Introduction to GETPIVOTDATA
- Getting started with Power Pivot – Percentage of something calculation example
Recommended Websites & Books:
These are my favorite places to learn more about Pivot Tables.
Websites:
- Excel Pivot Tables page on Contextures
- Pivot Table tips from Excel Jet
- 50 things you can do with Pivot Tables from MyExcelOnline
Books:
- Excel Pivot Table data crunching by Bill Jelen
- MS Excel Data Analysis and Business Modeling by Wayne Winston
- Excel Bible by J Walkenbach
Courses:
Happy Learning.
12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”
Some great contributions here.
Gotta love the Friday 13th formula 😀
Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂
(BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )
Great compilation Chandoo
For the "Clean your text before you lookup"
=VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)
I would like to share a method to convert a number-stored-as-text before you lookup:
=VLOOKUP(E20+0,F5:G18,2,0)
@Peder, yeah, I loved that formula
@Aires: Sorry, I misunderstood your formula. Corrected the heading now.
@John.. that is a cool tip.
Hey Chandoo,
That p-value formula is really great for a statistics person like me.
What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.
You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)
Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.
Week1 Week2
10 11
12 9
9 10
7 8
5 8
Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK
In the Variable 1 Box, select the range of data for week 1.
In the Variable 2 Box, select the range of data for week 2.
Check "Labels"
In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.
.05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.
Select a range output.
Excel calculates a number of results: Average (mean) for each week's data, etc.
You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.
So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.
Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!
Thanks!
Eric~
Fantastic stuf..One line explanation is cool.
Thanks to all the contributors
OS
Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")
I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)
Extract the month from a date
The easiest formula for this is =MONTH(a1)
It will return a 1 for January, 2 for February etc.
if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u
@Anjali
If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2
If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2
kindly share with me new forumulas.
How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.