Discovering trends through visuals. Conditional formatting allows patterns to be observed quickly without tedious analysis. Set filters to highlight things that are important. Create heat maps from your data points.

1. Conditional
Formatting
First cut in analyzing your data

2. Recap
Data Validation
Headers
Date
Drop down list
Cell Suggestion
Error message

3. Lesson Plan
1. Data
Validation
2. Conditional
Formatting
3. Pivot
Tables
Ensure the data
is clean during
input phase
Visualizing the data.
Looking for trends
Deeper analysis

4. What’s in it for me?
Conditional formating
helps to highlight critical
values similar to a heat
map concept
Allows users to target key
issues quickly

5. Accessing the tool

6. Example 1
Statuses that require
attention

7. Text that contains - 1/3

8. Text that contains - 2/3

9. Text that contains - 3/3

10. Hands On
Get those hands dirty!

11. Example 2
Heat map application
to visualize data

12. Heat map - 1/1

13. Hands On
Get those hands dirty!

14. Next Week
Pivot Table