Puzzle #219
Somebody make request for equipment for new employees. But we have little mess here, if two devices with the same OS is needed it looks, like D1, D2 — OS1, and if we have two devices of the same type but on different OS it will look like D1 — OS1, OS2. There is no easy way just to separate them. But it is not impossible, check it.
Loading libraries and data
library(tidyverse)
library(readxl)
path = "Power Query/PQ_Challenge_219.xlsx"
input = read_excel(path, range = "A1:B7")
test = read_excel(path, range = "D1:F12")
Transformation
devices = c("Laptop", "Desktop", "Mobile")
result = input %>%
separate_rows(Machine, sep = ", ") %>%
separate(Machine, into = c("Device", "OS"), sep = " - ",remove = FALSE) %>%
mutate(OS = case_when(
is.na(OS) & Device %in% devices ~ lead(OS,1),
is.na(OS) & !Device %in% devices ~ Device,
TRUE ~ OS),
Device = case_when(
!Device %in% devices ~ lag(Device,1),
TRUE ~ Device)) %>%
select(-Machine)
Validation
identical(result, test)
#> [1] TRUE
Puzzle #220
And once again we have puzzle based on project management. We have list of activities, but we need to find a way to see it all in context of months. Some table transformation is needed to achieve it, so let us start it.
Load libraries and data
library(tidyverse)
library(readxl)
path = "Power Query/PQ_Challenge_220.xlsx"
input = read_excel(path, range = "A1:D9")
test = read_excel(path, range = "A13:I18") %>% replace(is.na(.), "")
Transformation
result = input %>%
mutate(Start = floor_date(Start, "month"),
Finish = floor_date(Finish, "month")) %>%
mutate(seq = map2(Start, Finish, seq, by = "month")) %>%
unnest(seq) %>%
select(-Start, -Finish) %>%
mutate(rn = row_number(), .by = c("Project", "seq")) %>%
pivot_wider(names_from = seq, values_from = Activities, values_fill = "") %>%
select(-rn)
names(result) = names(test)
Validation
result == test
# two cells in wrong order.
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