Table of contents for How to use Excel to its Full Potential For Data Analysis
- How to Create Pivot Tables and Why Marketers Should Use Them
- Using Excel to its Full Potential – Part 2 Separating Data
Excel is a powerful tool when you have to evaluate data – if you know how to use all the bells and whistles it offers. The idea for this series comes from a post (which I’m labelling as the first part of this series) onhow to create and use pivot tables. I got (and still get) a lot of on and offline questions and feedback about it. Most of us know the basics of Excel, but unless you’ve take a training course, you don’t know it’s true power. I know I don’t know all the tips and tricks, but I do know a few things that should help make some of the things you might want to do a little bit easier.
Whether you’re an advertiser trying to review campaign data or a not-for-profit working with donor files, this series will show you a few simple formulas you can use to get the most out of your data without spending hours doing manual manipulation.
In order to create pivot tables, or sort data into groupings you need to have a data file with multiple columns or data points. However, you might find the data you receive has arrived all lumped together in one column in the form of a tab deliminated csv or tab (text) file. Thus making it hard to do much of anything with your data.
The “text to column” formual in Excel allows you to take any lump sum of data and separate it into coumns.
For example, you might have received an Excel file, but your donor names are lumped together and you want/need to be able to separate them out (i.e first-name only personaliztion). Here’s how to get the data separated in less than 60 seconds
Using Excel 2007
1. Look under the Data tab and click “Text to Column”
2. Choose your data type – deliminated (separated by commas, underscores, tabs or single spaces) or fixed width (a specific amount of space separating items you want into two separate columns)
*Note: Using the above example of name separating, we would choose the first option of deliminated since we have an Excel file and the amount of characters (or space) in each name is different*
3. Choose your delimination type (we would click space for this scenario) or your column breaks if using fixed width
4. Choose your data format (text, numeric, date etc)
5. Click Finish
Your data has now been separated.
One thing to note, if you have data in the column immediately to the right of the data you’re separating you will need to insert a new blank column, otherwise you will either need to start over, or choose “ok” when prompted to replace the data in the destination cells.
The next post in this series will show you how to do the opposite of this one – combine several columns of data into one column.
- Choosing Your Delimination Type
- How your data is deliminated
- Formatting options
- Your finished data






Rebecca Atkinson (Muller) is a freelance web marketing/analytics consultant with more than seven years of direct experience helping businesses create and implement online marketing and communications strategies. Her clients come from all industries including finance, technology and not-for-profit. She specializes in helping her clients determine how to improve their advertising programs, focusing on visitor behaviour – beyond the inital click-through. Full bio available