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2020-07-16 19:48:33 +05:30
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@@ -18,10 +18,11 @@ The data can be aggregated for, say, recent 3, 6, 12 months and year to date by
(check the code for this variable definition).
## decile
Often, in sales analytics, you are required to group categories (districts, doctors, countries) into 10 groups that have equal contributions,
in decreasing order of contribution i.e. the first group will have the least members that contribute 10% of some value,
the next will have more members that contribute the next 10%, all the way to the last group that will have the highest number of
members that contirbute the bottom 10% of the value. This relates to percentiles, althought they are not identical.
Often, in sales analytics, one is required to group certain categorical variables into buckets that contribute to 10% of overall sales,
in decreasing order of contribution. That is, in the first bucket, you'll have very few members that, together contribute to 10%, and
this member count increases as the bucket count increases, each contributing to 10% of the overall sales. In terms of percentiles, the first
bucket can be defined as the members that are in the top 90%ile of contributors, the second bucket will be those that are in the top 80%ile
of contributors, excluding the top 90%ile of contributors, and so on.
```
decile_dt(x, decreasing = TRUE)