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Data auditing

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World Agroforestry Centre (ICRAF) Other titles: Arial Default Design Data auditing The error Error checking approach 1: AutoFilter Error checking approach 1 ... – PowerPoint PPT presentation

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Title: Data auditing


1
Data auditing
finding errorswhen data have been entered
already .
Wim Buysse ICRAF-ILRI Research Methods
Group August 2004
2
The error
3
Error checking approach 1 AutoFilter
  • Click in the row heading to select the row with
    short titles

4
Error checking approach 1
  • Now choose Data gt Filter gt AutoFilter

5
Error checking approach 1
  • Discover the error in the drop-down list

6
Error checking approach 1
  • Select and correct

7
Error 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.

8
Error checking approach 2 Auditing tools
  • Type somewhere in the spreadsheet a list with
    possible treatment levels

9
Error checking approach 2
  • Select the data to check and choose Data gt
    Validation to allow only values from that list

10
Error checking approach 2
  • now choose Tools gt Formula Auditing gt Show
    Formula Auditing Toolbar

11
Error checking approach 2
  • Click on the Circle Invalid Data button the
    error will be marked

12
Error checking approach 2
  • Select the correct value from the in-cell
    drop-down list

13
Other Formula Auditing tools
  • Tracing the precedents of a formula

14
Other Formula Auditing tools
  • Tracing the dependents of a cell to see if it
    is used in any formula

15
Other Formula Auditing tools
  • Tracing an error

16
Other Formula Auditing tools
  • and let the computer give you all kinds of
    help on this error

17
Conclusion
  • AutoFilter is a faster approach for finding and
    correcting errors in lists with repeated elements
    such as factor levels.
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