Title: Data auditing
1Data auditing
finding errorswhen data have been entered
already .
Wim Buysse ICRAF-ILRI Research Methods
Group August 2004
2The error
3Error checking approach 1 AutoFilter
- Click in the row heading to select the row with
short titles
4Error checking approach 1
- Now choose Data gt Filter gt AutoFilter
5Error checking approach 1
- Discover the error in the drop-down list
6Error checking approach 1
7Error checking approach 1
- When to use AutoFilter ?
- Especially useful for checking factors that have
a limited number of levels such as - replications
- blocks
- Treatments
- Etc.
8Error checking approach 2 Auditing tools
- Type somewhere in the spreadsheet a list with
possible treatment levels
9Error checking approach 2
- Select the data to check and choose Data gt
Validation to allow only values from that list
10Error checking approach 2
- now choose Tools gt Formula Auditing gt Show
Formula Auditing Toolbar
11Error checking approach 2
- Click on the Circle Invalid Data button the
error will be marked
12Error checking approach 2
- Select the correct value from the in-cell
drop-down list
13Other Formula Auditing tools
- Tracing the precedents of a formula
14Other Formula Auditing tools
- Tracing the dependents of a cell to see if it
is used in any formula
15Other Formula Auditing tools
16Other Formula Auditing tools
- and let the computer give you all kinds of
help on this error
17Conclusion
- AutoFilter is a faster approach for finding and
correcting errors in lists with repeated elements
such as factor levels.