#227–228

Puzzles

Author: ExcelBI

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

Puzzle #227

We are given two tables one with employees data, and second with conditional assignment of salary. There is kind of regular expression in there but not in official notation, but rather giving asterisk power of Joker — replace one or many characters. As this placeholder notation cannot be used in R, I made some modification in T2 table using as I called it BRAIN.API (my own mind :D). Check what was later.

Loading libraries and data

library(tidyverse)
library(readxl)

path = "Power Query/PQ_Challenge_227.xlsx"
input1 = read_excel(path, range = "A2:D13")
input2 = read_excel(path, range = "F2:H6")
test  = read_excel(path, range = "J2:N11") %>%
  arrange(Sequence, Name)

Transformation

input2 = input2 %>%
  mutate(pattern_seq = c("^1.*", "321", ".*", ".*8$"),
         pattern_name = c("^M.*", "^S.*", ".*[aA]$", ".*"))

input = input1 %>%
  cross_join(input2) %>%
  mutate(check_seq = str_detect(string = Sequence.x, pattern = pattern_seq),
         check_name = str_detect(string = Name.x, pattern = pattern_name),
         both_conditions = check_seq & check_name) %>%
  filter(both_conditions) %>%
  select(Sequence = Sequence.x,Name = Name.x, Weight, `Bonus %`, Salary) %>%
  arrange(Sequence, Name)

Validation

all.equal(input, test, check.attributes = FALSE)
#> [1] TRUE

Puzzle #228

Sometimes tables need some stretching and squeezing… and some stretching again. Especially when there are more than one header available. Fortunatelly we have special package for such cases: unpivotr. We need to “behead” some columns and rows and then we would put it in order we all accept to follow.

Loading libraries and data

library(tidyverse)
library(readxl)
library(unpivotr)

path = "Power Query/PQ_Challenge_228.xlsx"
input = read_excel(path, range = "A1:H5", col_names = F)
test  = read_excel(path, range = "J1:M20") %>%
  arrange(Category, Student, Value)

Transformation

result = input %>%
  as_cells() %>%
  behead("left", "Student") %>%
  behead("up-left", "Category") %>%
  behead("up", "Value") %>%
  select(Student, Category, Value, Marks = chr) %>%
  mutate(Marks = as.integer(Marks)) %>%
  na.omit() %>%
  arrange(Category, Student, Value)

Validation

all.equal(result, test, check.attributes = F)
#> [1] TRUE

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