Attend pre-conference training or tutorials at Discovery...

Having trouble viewing this? View as a web page.
 
JMP | Statistical Discovery from SAS
JMP Newswire

Make the most of your time at Discovery Summit Europe

For a deep dive into specific applications of JMP® products, sign up for a two-day instructor-led training course or a shorter tutorial led by a JMP technical expert. Training and tutorials will be held before the general sessions begin.

Training course topics include designing and building JMP scripts, custom design of experiments and analyzing patterns in text data.

Tutorials cover advanced data preparation, scripting, process monitoring, functional data analysis, machine learning and more.

 
JMP 14.2 full installers available at jmp.com/upgrade

How to create cumulative sums with By groups to visualize data over time

You can use cumulative sums when working with a data set of measures that grow over a period of time and repeat regularly, such as measurements taken monthly that repeat yearly. Cumulative sums can help you determine whether your measurements are on track and how they are trending over time. 

Build a cumulative sum column using the New Formula Column functionality (available through right-click) in the data table:

  1. Identify the grouping column: Right-click on the column you want to group, click New Formula Column, and then click Group By.

  2. Create the cumulative sum column: Right-click on the column, click New Formula Column, click Row, and then click Cumulative Sum. You now have your new column with the measure needed for visualization.

  3. Complete any specific customizations you want for your visualization, such as visualizing on a relative time scale or value coloring.

You're now ready to use Graph Builder to develop your visualization. Note that most of the New Formula Column functions will allow you to specify a By variable. Now that you have created a cumulative sum column, read this post to see how to build a graph with your new column.

 
 

Mastering JMP®

Exploring Unstructured Data With Text Analytics, March 8

Learn how to use JMP Text Explorer to analyze unstructured text, interactively consolidate similar terms, recode terms and understand patterns in text data.

View all upcoming live webinars.

 
 
Mastering JMP

To contact JMP via postal address:
SAS UK Headquarters, Henley Road, Medmenham, Marlow, Buckinghamshire, SL7 2EB
ATTN: Legal Division/Privacy Manager

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies.

Copyright © SAS Institute Inc. All rights reserved.