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import_convert_data.R
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# i've copied and pasted a bunch of data from here
# https://eurovision.tv/event/turin-2022/grand-final/results/united-kingdom
# (and equivalents for all other countries)
# into an excel sheet
# nb there are a few countries where the format is different:
# Azerbaijan, Georgia, Montenegro, Poland, Romania, San Marino
# due to "irregularities"
# i've done my best to provide something usable, but there may be issues
# there are also issues with trailing blanks in the country names
# on account of the way that Eurovision includes little flag circles
# this may present issues with merges, sorry
# i've tried to deal with this in the str_sub bit but who knows what other
# problems doing so will introduce
# anyway, this script converts the copied+pasted data into a long csv for anyone to use
# load packages
library(tidyverse)
library(readxl)
# define path
path <- "results_2022.xlsx"
# load data
mad <- path %>%
excel_sheets() %>%
set_names() %>%
map_df(read_excel,
path = path,
.id = "points_from")
# rename columns, export
mad %>%
select(-Juror) %>%
rename(juror_a_ranking =
A,
juror_b_ranking =
B,
juror_c_ranking =
C,
juror_d_ranking =
D,
juror_e_ranking =
E,
jury_rank =
`Jury rank`,
televoting_rank =
`Televoting rank`,
points_to =
"Country"
) %>%
mutate(points_to =
str_sub(points_to,
2,
-1)) %>%
write_csv("eurovision_2022_clean.csv")
# clean up the jury_rank and televoting_rank columns,
# add points
mad %>%
select(-Juror) %>%
rename(juror_a_ranking =
A,
juror_b_ranking =
B,
juror_c_ranking =
C,
juror_d_ranking =
D,
juror_e_ranking =
E,
jury_rank =
`Jury rank`,
televote_rank =
`Televoting rank`,
points_to =
"Country"
) %>%
mutate(points_to =
str_sub(points_to,
2,
-1))%>%
mutate(jury_rank = as.numeric(str_squish(str_sub(jury_rank, -4, -3)))) %>%
mutate(televote_rank = as.numeric(str_squish(str_sub(televote_rank, -4, -3)))) %>%
mutate(jury_points = if_else(jury_rank == 1,
12,
if_else(jury_rank == 2,
10,
if_else(jury_rank == 3,
8,
if_else(jury_rank == 4,
7,
if_else(jury_rank == 5,
6,
if_else(jury_rank == 6,
5,
if_else(jury_rank == 7,
4,
if_else(jury_rank == 8,
3,
if_else(jury_rank == 9,
2,
if_else(jury_rank == 10,
1,
0)))))))))))%>%
mutate(televote_points = if_else(televote_rank == 1,
12,
if_else(televote_rank == 2,
10,
if_else(televote_rank == 3,
8,
if_else(televote_rank == 4,
7,
if_else(televote_rank == 5,
6,
if_else(televote_rank == 6,
5,
if_else(televote_rank == 7,
4,
if_else(televote_rank == 8,
3,
if_else(televote_rank == 9,
2,
if_else(televote_rank == 10,
1,
0))))))))))) %>%
write_csv("eurovision_2022_clean_with_points.csv")
### rerun for semifinal 1
# define path
path_semi_1 <- "semi_final_1_2022.xlsx"
# load data
mad_semi_1 <- path_semi_1 %>%
excel_sheets() %>%
set_names() %>%
map_df(read_excel,
path = path_semi_1,
.id = "points_from")
# rename columns, export
mad_semi_1 %>%
select(-Juror) %>%
rename(juror_a_ranking =
A,
juror_b_ranking =
B,
juror_c_ranking =
C,
juror_d_ranking =
D,
juror_e_ranking =
E,
jury_rank =
`Jury rank`,
televoting_rank =
`Televoting rank`,
points_to =
"Country"
) %>%
mutate(points_to =
str_sub(points_to,
2,
-1)) %>%
write_csv("eurovision_2022_semi_1_clean.csv")
# clean up the jury_rank and televoting_rank columns,
# add points
mad_semi_1 %>%
select(-Juror) %>%
rename(juror_a_ranking =
A,
juror_b_ranking =
B,
juror_c_ranking =
C,
juror_d_ranking =
D,
juror_e_ranking =
E,
jury_rank =
`Jury rank`,
televote_rank =
`Televoting rank`,
points_to =
"Country"
) %>%
mutate(points_to =
str_sub(points_to,
2,
-1))%>%
mutate(jury_rank = as.numeric(str_squish(str_sub(jury_rank, -4, -3)))) %>%
mutate(televote_rank = as.numeric(str_squish(str_sub(televote_rank, -4, -3)))) %>%
mutate(jury_points = if_else(jury_rank == 1,
12,
if_else(jury_rank == 2,
10,
if_else(jury_rank == 3,
8,
if_else(jury_rank == 4,
7,
if_else(jury_rank == 5,
6,
if_else(jury_rank == 6,
5,
if_else(jury_rank == 7,
4,
if_else(jury_rank == 8,
3,
if_else(jury_rank == 9,
2,
if_else(jury_rank == 10,
1,
0)))))))))))%>%
mutate(televote_points = if_else(televote_rank == 1,
12,
if_else(televote_rank == 2,
10,
if_else(televote_rank == 3,
8,
if_else(televote_rank == 4,
7,
if_else(televote_rank == 5,
6,
if_else(televote_rank == 6,
5,
if_else(televote_rank == 7,
4,
if_else(televote_rank == 8,
3,
if_else(televote_rank == 9,
2,
if_else(televote_rank == 10,
1,
0))))))))))) %>%
write_csv("eurovision_2022_semi_1_clean_with_points.csv")
### same again, semi 2
# define path
path_semi_2 <- "semi_final_2_2022.xlsx"
# load data
mad_semi_2 <- path_semi_2 %>%
excel_sheets() %>%
set_names() %>%
map_df(read_excel,
path = path_semi_2,
.id = "points_from")
# rename columns, export
mad_semi_2 %>%
select(-Juror) %>%
rename(juror_a_ranking =
A,
juror_b_ranking =
B,
juror_c_ranking =
C,
juror_d_ranking =
D,
juror_e_ranking =
E,
jury_rank =
`Jury rank`,
televoting_rank =
`Televoting rank`,
points_to =
"Country"
) %>%
mutate(points_to =
str_sub(points_to,
2,
-1)) %>%
write_csv("eurovision_2022_semi_2_clean.csv")
# clean up the jury_rank and televoting_rank columns,
# add points
mad_semi_2 %>%
select(-Juror) %>%
rename(juror_a_ranking =
A,
juror_b_ranking =
B,
juror_c_ranking =
C,
juror_d_ranking =
D,
juror_e_ranking =
E,
jury_rank =
`Jury rank`,
televote_rank =
`Televoting rank`,
points_to =
"Country"
) %>%
mutate(points_to =
str_sub(points_to,
2,
-1))%>%
mutate(jury_rank = as.numeric(str_squish(str_sub(jury_rank, -4, -3)))) %>%
mutate(televote_rank = as.numeric(str_squish(str_sub(televote_rank, -4, -3)))) %>%
mutate(jury_points = if_else(jury_rank == 1,
12,
if_else(jury_rank == 2,
10,
if_else(jury_rank == 3,
8,
if_else(jury_rank == 4,
7,
if_else(jury_rank == 5,
6,
if_else(jury_rank == 6,
5,
if_else(jury_rank == 7,
4,
if_else(jury_rank == 8,
3,
if_else(jury_rank == 9,
2,
if_else(jury_rank == 10,
1,
0)))))))))))%>%
mutate(televote_points = if_else(televote_rank == 1,
12,
if_else(televote_rank == 2,
10,
if_else(televote_rank == 3,
8,
if_else(televote_rank == 4,
7,
if_else(televote_rank == 5,
6,
if_else(televote_rank == 6,
5,
if_else(televote_rank == 7,
4,
if_else(televote_rank == 8,
3,
if_else(televote_rank == 9,
2,
if_else(televote_rank == 10,
1,
0))))))))))) %>%
write_csv("eurovision_2022_semi_2_clean_with_points.csv")