Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with normalization
Search options not deleted
user 18588
Usually "normalization" means re-expressing univariate data to make values lie within a specified range.
0
votes
Accepted
Confused about proper way to normalize two variables
However, if for example you wanted to compare cities to see what proportion of ALL vacancies in each city were residential, you could use the second approach (or even a third normalization: res_vac / … In short, it's the question that you're trying to answer with the data that guides which normalization approach to use--there's no single "right" answer for all purposes. …
- 121