Reputation: 35
I want to tidy and clean data.
Dataset from Facebook Insights looks like this:
Video_ID Albania (AL) Algeria (DZ) Argentina (AR)
1 88 79 43
2 2 29 71
3 82 67 91
4 45 41 69
5 14 78 83
6 78 71 39
7 47 13 87
I tried but I got Video_ID in value column, and i want three columns, Video_ID, Location, Value.
tidydata <- gather(df, variable, value)
Upvotes: 1
Views: 74
Reputation: 12084
library(tidyverse)
df <- data.frame(Video_ID = 1:7,
Albania_AL = runif(7),
Algeri_DZ = runif(7),
Argentina_AR = runif(7))
df %>%
gather(variable, value, -Video_ID)
gives,
Video_ID variable value
1 1 Albania_AL 0.7452748199
2 2 Albania_AL 0.7189716343
3 3 Albania_AL 0.0009818899
4 4 Albania_AL 0.8767066500
5 5 Albania_AL 0.2557317731
6 6 Albania_AL 0.8500135003
7 7 Albania_AL 0.5381997849
8 1 Algeri_DZ 0.6354911723
9 2 Algeri_DZ 0.5642415853
10 3 Algeri_DZ 0.6899371936
11 4 Algeri_DZ 0.5935983881
12 5 Algeri_DZ 0.3544025272
13 6 Algeri_DZ 0.6228319844
14 7 Algeri_DZ 0.2387682097
15 1 Argentina_AR 0.0857397954
16 2 Argentina_AR 0.6284314466
17 3 Argentina_AR 0.2281501831
18 4 Argentina_AR 0.6316785756
19 5 Argentina_AR 0.5259507103
20 6 Argentina_AR 0.8145632301
21 7 Argentina_AR 0.0400777052
Upvotes: 1