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dashboard.qmd
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---
title: "Today's Top Songs"
format:
dashboard:
logo: "images/logo.png"
orientation: columns
---
```{r, loadpackages}
#| echo: false
#| include: false
library(tidyverse)
library(httr2)
library(gt)
```
```{r, createaccesstoken}
#| echo: false
#| include: false
# Define client ID and client secret to generate Spotify access token
client_id <- Sys.getenv("SPOTIFY_CLIENT_ID")
client_secret <- Sys.getenv("SPOTIFY_CLIENT_SECRET")
# Generate Spotify access token
req_access_token <- request("https://accounts.spotify.com/api/token") |>
req_method("POST") |>
req_body_raw(
paste0("grant_type=client_credentials&client_id=", client_id, "&client_secret=", client_secret),
"application/x-www-form-urlencoded"
) |>
req_perform() |>
resp_body_json()
spotify_access_token <- req_access_token$access_token
```
```{r, gettthplaylist}
playlist_id <- "5iwkYfnHAGMEFLiHFFGnP4"
tth <- request(paste0("https://api.spotify.com/v1/playlists/", playlist_id)) |>
req_method("GET") |>
req_headers(
Authorization = paste0("Bearer ", spotify_access_token),
) |>
req_perform() |>
resp_body_json()
# Create data frame with the top hits information
top_hits_df <- data.frame(
song_name = unlist(lapply(tth$tracks$items, FUN = function(x) { x$track$name })),
song_id = unlist(lapply(tth$tracks$items, FUN = function(x) { x$track$id })),
artist_name = unlist(lapply(tth$tracks$items, FUN = function(item) { item$track$album$artists[[1]]$name })),
album_art = unlist(lapply(X = tth$tracks$items, FUN = function(item) { item$track$album$images[[1]]$url })),
track_duration = unlist(lapply(tth$tracks$items, FUN = function(item) { item$track$duration_ms })),
popularity = unlist(lapply(tth$tracks$items, FUN = function(item) { item$track$popularity }))
)
```
```{r, generatesvgcircle}
#| echo: false
#| include: false
# Create custom SVG circle
generate_svg_circle <- function(popularity_value) {
popularity_value <- as.numeric(popularity_value)
# Calculate the radius of the circle
radius <- 10 + 15 * (popularity_value / 100)
# Interpolate the color from red (popularity = 0) to green (popularity = 100)
circle_colour_picker <- colorRampPalette(c("#B91d1d", "#ED8E11", "#EDDE11", "#1DB954"))
# There are 101 colour values since popularity ranges from 0 to 100
color <- circle_colour_picker(101)[popularity_value + 1]
# Generate the SVG code for the circle
svg_code <- sprintf(
'<svg height="%1$s" width="%1$s"><circle cx="%2$s" cy="%2$s" r="%2$s" stroke="none" stroke-width="0" fill="%3$s" /><text class="circle-text" x="%2$s" y="%2$s" font-size="%4$s" fill="white" text-anchor="middle" dy=".3em">%5$s</text></svg>',
2 * radius, # SVG width and height
radius, # Circle center x, y
color, # Fill color used also for stroke
radius * 0.6, # Font size based on radius
popularity_value # Text to display
)
return(svg_code)
}
```
## Column {width="35%"}
```{r, createtable}
#| expandable: false
# Create gt table with custom formatting
top_hits_df |>
select(album_art, song_name, artist_name, track_duration, popularity) |>
gt(id = "custom") |>
cols_label(
album_art = md("**Song**"),
song_name = "",
artist_name = md("**Artist**"),
track_duration = html('<svg xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" width="15" height="15" viewBox="0,0,255.998,255.998"><g fill="#ffffff" fill-rule="nonzero" stroke="none" stroke-width="1" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-dasharray="" stroke-dashoffset="0" font-family="none" font-weight="none" font-size="none" text-anchor="none" style="mix-blend-mode: normal"><g transform="scale(10.66667,10.66667)"><path d="M12,2c-5.523,0 -10,4.477 -10,10c0,5.523 4.477,10 10,10c5.523,0 10,-4.477 10,-10c0,-5.523 -4.477,-10 -10,-10zM14.586,16l-3.293,-3.293c-0.188,-0.188 -0.293,-0.442 -0.293,-0.707v-5c0,-0.552 0.448,-1 1,-1v0c0.552,0 1,0.448 1,1v4.586l3,3c0.39,0.39 0.39,1.024 0,1.414v0c-0.39,0.39 -1.024,0.39 -1.414,0z"></path></g></g></svg>'),
popularity = md("**Popularity**")
) |>
text_transform(
fn = function(x) {
web_image(url = x, height = 50)
},
locations = cells_body(columns = album_art)
) |>
text_transform(
fn = function(x) {
generate_svg_circle(x)
},
locations = cells_body(columns = popularity)
) |>
fmt(
columns = track_duration,
fns = function(x) {
num_minutes <- floor(x / 60000)
num_seconds <- round((x %% 60000) / 1000)
sprintf("%d:%02d", num_minutes, num_seconds)
}
) |>
cols_align(
align = "center",
columns = popularity
) |>
tab_footnote(
footnote = "The popularity of a track is a value between 0 and 100, with 100 being the most popular. The popularity is calculated by algorithm and is based, in the most part, on the total number of plays the track has had and how recent those plays are.
Generally speaking, songs that are being played a lot now will have a higher popularity than songs that were played a lot in the past.",
locations = cells_column_labels(columns = popularity)
) |>
tab_source_note(
source_note = md("**Source:** [Today's Top Songs Playlist](https://open.spotify.com/playlist/5iwkYfnHAGMEFLiHFFGnP4), from the Spotify Web API")
) |>
tab_options(
table.font.color = "#FFFFFF",
table.background.color = "#191414",
table.font.size = px(12),
table.border.top.color = "transparent",
table.border.bottom.color = "transparent",
table_body.hlines.color = "transparent",
table_body.border.bottom.color = "transparent",
column_labels.border.bottom.color = "transparent",
column_labels.border.top.color = "transparent",
footnotes.background.color = "#282828",
source_notes.background.color = "#282828"
) |>
tab_style_body(
style = cell_borders(
sides = c("top", "bottom"),
weight = px(0) # Remove row borders
),
fn = function(x) { is.numeric(x) | is.character(x) }
) |>
opt_css(
css = "
table tr:nth-child(odd) {
background-color: #282828;
}
table tr:hover {
background-color: #383838;
}
.cell-output-display {
overflow-x: unset !important;
}
div#custom {
overflow-x: unset !important;
overflow-y: unset !important;
}
#custom .gt_col_heading {
position: sticky !important;
top: -5px !important;
z-index: 10 !important;
}
"
)
```
## Column {width="65%"}
### Row {height="10%"}
```{r, sendtoojs}
#| echo: false
#| include: false
ojs_define(top_hits_ojs = top_hits_df)
```
```{ojs}
//| expandable: false
// Transpose the data to make it usable in ojs
top_hits = transpose(top_hits_ojs)
// Create a dropdown menu of the songs
viewof songDropdown = Inputs.select(
top_hits.map(d => d.song_name),
{
label: "Choose a song",
unique: true
}
)
```
### Row {height="70%"}
```{ojs}
//| expandable: false
html`<iframe class="custom-iframe" style="border-radius:12px; display: flex; justify-content: center; align-items: center;"
src=${`https://open.spotify.com/embed/track/${top_hits.find(song => song.song_name === songDropdown).song_id}?utm_source=generator&theme=0`}
width="100%"
height="352"
frameBorder="0"
allowfullscreen=""
allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture"
loading="lazy">
</iframe>`
```
### Row {height="20%"}
:::{.card expandable="false"}
<div style="background-color: #7D3C98; color: white; border-radius: 10px; padding: 10px; text-align: center; display: flex; align-items: center; justify-content: center; height: 100%;">
<span style="font-size: 1vw; width: 100%;">
**Want to make a project like this?** This dashboard was inspired by [Melissa Van Bussel](https://www.melissavanbussel.com/) for Posit's Table Contest.<br> You can find her tutorial [here](https://melissavanbussel.github.io/spotify-dashboard) and you can find the code that powers my version of the dashboard [here](https://github.com/econmaett/spotify-dashboard).
</span>
</div>
:::