PowerQuery Puzzle solved with R

[This article was first published on Numbers around us - Medium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



Author: ExcelBI

All files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.

Puzzle #145

This time our task is to summarise sales from three stores, but there are strings attached. They shouldn’t be just added, but cummulativelly for store and year. But it would be to easy, we need to base year on date of first sale. So each store has it different here. We need to find year ranges for them and then summarise them separately. Let’s try.

Load libraries and data


input = read_excel("Power Query/PQ_Challenge_145.xlsx", range = "A1:C16")
test  = read_excel("Power Query/PQ_Challenge_145.xlsx", range = "F1:I16")


result = input %>%
  group_by(Store) %>%
  mutate(min_date = min(Date),
         year = case_when(
           between(Date, min_date, min_date + years(1)) ~ 1,
           between(Date, min_date + years(1), min_date + years(2)) ~ 2,
           between(Date, min_date + years(2), min_date + years(3)) ~ 3,
           between(Date, min_date + years(3), min_date + years(4)) ~ 4,
           between(Date, min_date + years(4), min_date + years(5)) ~ 5
         )) %>%
  ungroup()  %>%
  group_by(Store, year) %>%
  mutate(Column1 = cumsum(Sale)) %>%
  ungroup() %>%
  select(-year, -min_date)


identical(result, test)
#> [1] TRUE

Puzzle #146

In this puzzle we have data collected from three groups. It is possibly the sales value or ammount. But each group had certain threshold which they have to achieve. This threshold is depicted as the edge of rocky shelf of cliff. We have to find people that in each group are just below or just above threshold (and there can be more than one person who met conditons). Lets do it.

Load libraries and data


input = read_excel("Power Query/PQ_Challenge_146.xlsx", range = "A1:D14")
test  = read_excel("Power Query/PQ_Challenge_146.xlsx", range = "F1:I7")


result = input %>%
  group_by(Group) %>%
  mutate(Category = ifelse(Value == Threshold, "Equal",
                           ifelse(Value > Threshold, "High", "Low"))) %>%
  ungroup() %>%
  filter(Category != "Equal") %>%
  group_by(Group, Category) %>%
  mutate(valid = ifelse(Category == "High", min(Value), max(Value))) %>%
  ungroup() %>%
  filter(Value == valid) %>%
  select(-valid, -Category)


  identical(result, test)
# [1] TRUE

Thanks for your engagement, and let me know if you have any comments.

PowerQuery Puzzle solved with R was originally published in Numbers around us on Medium, where people are continuing the conversation by highlighting and responding to this story.

To leave a comment for the author, please follow the link and comment on their blog: Numbers around us - Medium.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)