Last updated: 2020-06-01
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|Rmd||f53e0cb||Luke Zappia||2020-05-30||Add tidying|
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After the scraping process we have a the data about songs played during the Requestival in a nice tabular format. Let’s load it up and see what it looks like.
requestival <- read_tsv( PATHS$scraped, col_types = cols( .default = col_character() ) )
Chunk time: 0.05 secs
This isn’t too messy at the moment but there are some things we could do to tidy it up. Let’s work through each of the columns and see if we need to do anything to them.
The first column contains the name of the file the song was scraped from. The file names have the form
X is a day in May 2020. We don’t really care about the file name but we do care about the day the songs were played so let’s take that part and create a new column.
requestival <- requestival %>% mutate(Day = str_remove(File, "requestival_")) %>% mutate(Day = paste0("2020-05-", Day)) requestival
Chunk time: 0.63 secs
The time each song was played is currently a string with the form
pm). It would be better to have this has a time object so let’s do that conversion.
requestival <- requestival %>% mutate(Time = parse_time(Time, "%I:%M%p")) requestival