Rmarkdown

Create a new .Rmd file. Choose the HTML file type.

Modify the YAML header specifying:

title
subtitle
date
author
output

Modify the YAML to include a table of contents and knit the document.

Specify in the YAML that you want a floating table of contents and knit the document.

Insert a code chunk to read the dataset spotify_weekly_chart (downloaded from @Kaggle) from the Dataset folder. Then:
- Give a name to this code chunk.
- Add plain text description above the code chunk:
  
  “The dataset contains data regarding the artist and the songs on the Spotify global weekly chart.
  For each song, the artist name, the number of stream and the peak in the chart are reported.”
- Add the following unordered list describing the variables:
  - Pos : position of the song in the chart
  - P. : number of position gained since last week
  - Artist : name of the artist
  - Title : title of the song
  - Wks : number of weeks spent on the chart
  - Pk: peak position of the song
  - X.x..: number of times the peak position has been attained
  - Streams : number of streams of the song
  - Streams. : number of streams gained or lost since last week
  - Total : total number of streams

kaggle_spotify_weekly_chart <- read.csv("Exercises/Datasets/spotify_weekly_chart.csv")
head(kaggle_spotify_weekly_chart)

##   Pos P.         Artist           Title Wks Pk X.x..  Streams Streams.
## 1   1  =           SZA        Kill Bill   5  1  (x2) 47288509  5814143
## 2   2 +3  Metro Boomin         Creepin'   6  2  (x1) 30753658  2661426
## 3   3 -1     Sam Smith           Unholy  16  1  (x7) 30733283 -2398892
## 4   4 -1  Harry Styles        As It Was  41  1 (x11) 28522200 -2475884
## 5   5 -1  David Guetta  I'm Good (Blue)  20  2  (x4) 27260313 -3443943
## 6   6  = Manuel Turizo       La Bachata  28  4       25879286 -1477809
##        Total
## 1  208044297
## 2  184223144
## 3  673533882
## 4 1747957886
## 5  568898155
## 6  693820743

Add a code chunk in the Data transformation section to:

Evaluate the dimensions of the dataframe
Create a vector containing the streams of the first top 5 songs in the chart, naming each element of the vector with the corresponding artist name.
Create a vector containing the streams of the first top 5 songs in the chart, naming each element of the vector with the corresponding song title.

dim(kaggle_spotify_weekly_chart)

## [1] 200  10

artists <- kaggle_spotify_weekly_chart[1:5, 'Streams']
names(artists) <- kaggle_spotify_weekly_chart[1:5,'Artist']

songs <- kaggle_spotify_weekly_chart[1:5, 'Streams']
names(songs) <- kaggle_spotify_weekly_chart[1:5, 'Title']

Add a code chunk to produce a barplot representing the streams of the top five artists in the chart. Do you need to specify names? Why?

Add a name to the chunk header
Modify the figure size in the chunk header
Add a title to the figure
Modify plot dimension parameters in the chunk
Add parameters to center all plots in the file

barplot(height  = artists, 
        main = 'Spotify streams of top 5 artists of the week chart'
        )

Add a code chunk to produce a barplot representing the streams of the top five songs in the chart.

Add a name to the chunk header
Modify the figure size in the chunk header
Add a title to the figure

barplot(height  = songs, 
        main = 'Spotify streams of top 5 songs of the week chart')

Add a “Conclusions” section to insert a plain text listing the titles of the top 5 songs in the chart.

Create a new R Markdown file for exercises on plots done on 10/03/2025.
Modify dimensions and parameters on the plots to achieve the best possible visualization and improve aestahetics.

2025-03-11

Rmarkdown