I have a dataset similar to the sample below;
Data:
Person | GENDER | NATION | AGE | ETHNICITY |
1 | 0 | 1 | 5 | 8 |
2 | 3 | 1 | 3 | 8 |
3 | 0 | 0 | 5 | 7 |
4 | 2 | 0 | 1 | 4 |
5 | 3 | 0 | 5 | 7 |
6 | 2 | 1 | 1 | 8 |
7 | 1 | 0 | 4 | 9 |
8 | 0 | 1 | 5 | 8 |
9 | 3 | 1 | 5 | 3 |
10 | 2 | 0 | 2 | 9 |
I then have a separate, single lookup file setup like this;
Lookup:
Field | Label | Description |
GENDER | 0 | Female |
GENDER | 1 | Male |
GENDER | 3 | Other |
NATION | 0 | UK |
NATION | 1 | Other (including unknown) |
AGE | 1 | 20 and under |
AGE | 2 | 21 to 24 |
AGE | 3 | 25 to 29 |
AGE | 4 | 30 and over |
AGE | 5 | Unknown |
ETHNICITY | 1 | White |
ETHNICITY | 2 | Black Caribbean |
ETHNICITY | 3 | Black African |
ETHNICITY | 4 | Indian |
ETHNICITY | 5 | Pakinstani |
ETHNICITY | 6 | Bangladeshi |
ETHNICITY | 7 | Chinese |
ETHNICITY | 8 | Mixed |
ETHNICITY | 9 | Other |
ETHNICITY | 10 | Unknown |
Which tool(s) can I use to take the appropriate Description and replace the label in the corresponding field in the dataset? The dataset has 35 columns and there are 200+ rows in the lookup table.
Thanks in advance
John
Solved! Go to Solution.
Thanks for you help @Luke_C my lookup table is outside of my control and contains letters as well as numbers so this time I've used the transpose and cross-tab method. The dynamic replace looks very interesting though and now I've got your example I can think of other places where I can use it.
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