December comes again, and everybody is looking back at the past year. Seeing everyone’s Spotify Wrapped, I felt a little left out, since I don’t stream music. However, I have QuodLibet set up to scrobble listens to ListenBrainz, so let’s use Arrow and dplyr to generate our own retrospective. It won’t be exactly the same though, since I don’t have stuff like genre data easily available.
Setup
We’ll load all the libraries we’re using first.
library(arrow, warn.conflicts = FALSE)
library(dplyr, warn.conflicts = FALSE)
library(dbplyr, warn.conflicts = FALSE)
Registered S3 methods overwritten by 'dbplyr':
method from
print.tbl_lazy
print.tbl_sql
library(duckdb)
Loading required package: DBI
library(ggplot2)
Our dataset is stored as partitioned Parquet files, created using another script that grabs data from the ListenBrainz API.
ds <- open_dataset("listens", partitioning = c("year", "month"))
ds
FileSystemDataset with 92 Parquet files
listened_at: int64
artist_name: string
track_name: string
artist_mbids: list<element: string>
recording_mbid: string
release_mbid: string
year: int32
month: int32
Let’s get cracking!
Disclaimer: my R/dplyr is terrible, so apologies for any mistakes or unidiomatic patterns.
Total Rows
First, let’s get an idea of how big the dataset is.
ds %>% count() %>% collect()
This…isn’t big data. It’s not even medium data. It’s pretty small. So the tools we’re going to use here are massive overkill, but that’s okay.
Top Songs of the Year
First of all, let’s set up part of the query that we’re going to need a lot: filtering down to listens from the year 2021.
# This is sketchy because my R is bad
year2021 <- as.numeric(lubridate::ymd_hms("2021-01-01 00:00:00"))
ds2021 <- ds %>%
filter(year == 2021) %>%
select(listened_at, artist_name, track_name, month)
And now a simple GROUP BY gets us top songs of the year:
ds2021 %>%
group_by(track_name) %>%
summarize(listens = n()) %>%
arrange(desc(listens)) %>%
head(25) %>%
collect()
Top Artists of the Year
Getting the top artists is also straightforward:
ds2021 %>%
group_by(artist_name) %>%
summarize(listens = n()) %>%
arrange(desc(listens)) %>%
head(25) %>%
collect()
Unfortunately, due to data quality, this isn’t perfect. For instance, we have both “doriko” and “doriko feat.初音ミク”. We can manually address this with case_when
:
ds2021 %>%
mutate(
artist_name = case_when(
str_detect(artist_name, fixed("doriko")) ~ "doriko",
str_detect(artist_name, fixed("ryo")) ~ "ryo (supercell)",
str_detect(artist_name, fixed("supercell")) ~ "ryo (supercell)",
str_detect(artist_name, fixed("花たん")) ~ "Hanatan",
str_detect(artist_name, fixed("梶浦由記")) ~ "Yuki Kajiura",
str_detect(artist_name, fixed("音阙诗听")) ~ "音阙诗听",
TRUE ~ artist_name)
) %>%
group_by(artist_name) %>%
summarize(listens = n()) %>%
arrange(desc(listens)) %>%
head(25) %>%
collect()
This doesn’t scale too well, but it gets us what we’re after. I’m surprised 石进 beats out everyone else!
Top by Month
Now let’s dig down deeper. For this, we’ll need to bring out the big guns: window functions! Arrow itself as of this writing (the development version of v7.0.0) lacks direct support for them. However, that’s no problem: the whole point of Arrow is to facilitate painless, costless data exchange across systems, and so the Arrow R package can seamlessly send data to DuckDB for further analysis, without copying data!
ds2021 %>%
group_by(month) %>%
count(track_name) %>%
to_duckdb() %>%
mutate(rank = min_rank(desc(n))) %>%
slice_min(n = 3, order_by = rank) %>%
arrange(month, rank) %>%
collect()
Just for fun, we can see the generated SQL too:
ds2021 %>%
group_by(month) %>%
count(track_name) %>%
to_duckdb() %>%
mutate(rank = min_rank(desc(n))) %>%
slice_min(n = 3, order_by = rank) %>%
arrange(month, rank) %>%
show_query()
<SQL>
SELECT "month", "track_name", "n", "rank"
FROM (SELECT "month", "track_name", "n", "rank", RANK() OVER (PARTITION BY "month" ORDER BY "rank") AS "q01"
FROM (SELECT "month", "track_name", "n", RANK() OVER (PARTITION BY "month" ORDER BY "n" DESC) AS "rank"
FROM "arrow_002") "q01") "q02"
WHERE ("q01" <= 3)
ORDER BY "month", "rank"
I’m…not certain that’s optimal, but I didn’t have to work it out by hand, so I won’t complain!
And we can do the same for artists:
ds2021 %>%
mutate(
artist_name = case_when(
str_detect(artist_name, fixed("doriko")) ~ "doriko",
str_detect(artist_name, fixed("ryo")) ~ "ryo (supercell)",
str_detect(artist_name, fixed("supercell")) ~ "ryo (supercell)",
str_detect(artist_name, fixed("花たん")) ~ "Hanatan",
str_detect(artist_name, fixed("梶浦由記")) ~ "Yuki Kajiura",
str_detect(artist_name, fixed("音阙诗听")) ~ "音阙诗听",
TRUE ~ artist_name)
) %>%
group_by(month) %>%
count(artist_name) %>%
to_duckdb() %>%
mutate(rank = min_rank(desc(n))) %>%
slice_min(n = 3, order_by = rank) %>%
arrange(month, rank) %>%
collect()
Fun!
Listens Over Time
Finally, let’s look at all our data, not just 2021. We’ll take the 10 most-listened songs, then plot how the listen count has accumulated over time.
fixed_tracks <- ds %>%
mutate(track_name = case_when(
str_detect(track_name, fixed("Yoru wo Kakeru")) ~ "Run through the Night",
str_detect(track_name, fixed("夜を駆ける")) ~ "Run through the Night",
str_detect(track_name, fixed("Grand Escape")) ~ "Grand Escape",
str_detect(track_name, fixed("メルト")) ~ "Melt",
str_detect(track_name, fixed("キャットフード")) ~ "Cat Food",
str_detect(track_name, fixed("ロミオとシンデレラ")) ~ "Romeo and Cinderella",
str_detect(track_name, fixed("夕日坂")) ~ "Sunset Hill",
TRUE ~ track_name
))
top10 <- fixed_tracks %>%
group_by(track_name) %>%
summarize(listens = n()) %>%
arrange(desc(listens)) %>%
head(10) %>%
collect()
top10
Next, we’ll use a join to filter our original dataset, keeping only the top 10 songs:
top10_over_time <- fixed_tracks %>%
select(listened_at, track_name) %>%
inner_join(top10) %>%
select(listened_at, track_name)
top10_over_time %>% collect()
Finally, we’ll swap over to DuckDB and compute a cumulative sum:
cumulative_listens <- top10_over_time %>%
select(listened_at, track_name) %>%
# Get something to cumsum
mutate(n = 1) %>%
group_by(track_name) %>%
to_duckdb() %>%
arrange(listened_at) %>%
mutate(listens = cumsum(n)) %>%
to_arrow() %>%
mutate(listened_at = cast(listened_at, timestamp("s"))) %>%
arrange(listened_at) %>%
collect()
cumulative_listens %>% head(10)
(We send the data back to Arrow to convert to timestamps since the DuckDB integration gives a type error if we do it beforehand.)
ggplot(data = cumulative_listens, aes(x = listened_at, y = listens, group = track_name, colour = track_name)) +
ggtitle("Cumulative Listens of Top 10 Songs Over Time") +
xlab("# of listens") +
ylab("Song") +
labs(colour = "Song") +
geom_line(size = 1) +
scale_color_brewer(palette = "Paired") +
theme(legend.position = "bottom", legend.box = "vertical") +
guides(colour = guide_legend(nrow = 2, byrow = TRUE))
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)
We can do the same for artists.
fixed_artists <- ds %>%
mutate(
artist_name = case_when(
str_detect(artist_name, fixed("doriko")) ~ "doriko",
str_detect(artist_name, fixed("ryo")) ~ "ryo (supercell)",
str_detect(artist_name, fixed("supercell")) ~ "ryo (supercell)",
str_detect(artist_name, fixed("花たん")) ~ "Hanatan",
str_detect(artist_name, fixed("梶浦由記")) ~ "Yuki Kajiura",
str_detect(artist_name, fixed("Kalafina")) ~ "Yuki Kajiura",
str_detect(artist_name, fixed("FictionJunction")) ~ "Yuki Kajiura",
str_detect(artist_name, fixed("音阙诗听")) ~ "interestingcn",
str_detect(artist_name, fixed("石进")) ~ "Shi Jin",
str_detect(artist_name, fixed("光田康典")) ~ "Yasunori Mitsuda",
str_detect(artist_name, fixed("Yasunori Mitsuda, Millenial Fair")) ~ "Yasunori Mitsuda",
str_detect(artist_name, fixed("植松伸夫")) ~ "Nobuo Uematsu",
str_detect(artist_name, fixed("Nobuo Uematsu / Ririko Yamabuki")) ~ "Nobuo Uematsu",
str_detect(artist_name, fixed("スピッツ")) ~ "Spitz",
str_detect(artist_name, fixed("天門")) ~ "TENMON",
str_detect(artist_name, fixed("ヨルシカ")) ~ "Yorushika",
str_detect(artist_name, fixed("Dj Okawari, Emily Styler")) ~ "DJ Okawari",
TRUE ~ artist_name)
)
top10_artists <- fixed_artists %>%
group_by(artist_name) %>%
summarize(listens = n()) %>%
arrange(desc(listens)) %>%
head(10) %>%
collect()
top10_artists
top10_artists_over_time <- fixed_artists %>%
select(listened_at, artist_name) %>%
inner_join(top10_artists) %>%
select(listened_at, artist_name)
cumulative_artists <- top10_artists_over_time %>%
select(listened_at, artist_name) %>%
mutate(n = 1) %>%
group_by(artist_name) %>%
to_duckdb() %>%
arrange(listened_at) %>%
mutate(listens = cumsum(n)) %>%
to_arrow() %>%
mutate(listened_at = cast(listened_at, timestamp("s"))) %>%
arrange(listened_at) %>%
collect()
cumulative_artists %>% head(10)
ggplot(data = cumulative_artists, aes(x = listened_at, y = listens, group = artist_name, colour = artist_name)) +
ggtitle("Cumulative Listens of Top 10 Artists Over Time") +
xlab("# of listens") +
ylab("Artist") +
labs(colour = "Artist") +
geom_line(size = 1) +
scale_color_brewer(palette = "Paired") +
theme(legend.position = "bottom", legend.box = "vertical") +
guides(colour = guide_legend(nrow = 2, byrow = TRUE))
![](data:image/png;base64,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---
title: "Roll Your Own “Spotify Wrapped” with Arrow, R, and ListenBrainz"
output: html_notebook
---

December comes again, and everybody is looking back at the past year.
Seeing everyone's Spotify Wrapped, I felt a little left out, since I don't stream music.
However, I have [QuodLibet](https://quodlibet.readthedocs.io/en/latest/) set up to scrobble listens to [ListenBrainz](https://listenbrainz.org/), so let's use [Arrow](https://arrow.apache.org/) and [dplyr](https://dplyr.tidyverse.org/) to generate our own retrospective.
It won't be exactly the same though, since I don't have stuff like genre data easily available.

## Setup

We'll load all the libraries we're using first.

```{r}
library(arrow, warn.conflicts = FALSE)
library(dplyr, warn.conflicts = FALSE)
library(dbplyr, warn.conflicts = FALSE)
library(duckdb)
library(ggplot2)
```

Our dataset is stored as partitioned Parquet files, created using another [script](dump.py) that grabs data from the ListenBrainz API.

```{r}
ds <- open_dataset("listens", partitioning = c("year", "month"))
ds
```

Let's get cracking!

_Disclaimer: my R/dplyr is terrible, so apologies for any mistakes or unidiomatic patterns._

## Total Rows

First, let's get an idea of how big the dataset is.

```{r}
ds %>% count() %>% collect()
```
This…isn't big data.
It's not even medium data.
It's pretty small.
So the tools we're going to use here are massive overkill, but that's okay.

## Top Songs of the Year

First of all, let's set up part of the query that we're going to need a lot: filtering down to listens from the year 2021.

```{r}
ds2021 <- ds %>% 
  filter(year == 2021) %>%
  select(listened_at, artist_name, track_name, month)
```

And now a simple GROUP BY gets us top songs of the year:

```{r}
ds2021 %>%
  group_by(track_name) %>% 
  summarize(listens = n()) %>%
  arrange(desc(listens)) %>%
  head(25) %>%
  collect()
```

## Top Artists of the Year

Getting the top artists is also straightforward:

```{r}
ds2021 %>%
  group_by(artist_name) %>%
  summarize(listens = n()) %>%
  arrange(desc(listens)) %>%
  head(25) %>%
  collect()
```

Unfortunately, due to data quality, this isn't perfect.
For instance, we have both "doriko" and "doriko feat.初音ミク".
We can manually address this with `case_when`:

```{r}
ds2021 %>%
  mutate(
    artist_name = case_when(
      str_detect(artist_name, fixed("doriko")) ~ "doriko",
      str_detect(artist_name, fixed("ryo")) ~ "ryo (supercell)",
      str_detect(artist_name, fixed("supercell")) ~ "ryo (supercell)",
      str_detect(artist_name, fixed("花たん")) ~ "Hanatan",
      str_detect(artist_name, fixed("梶浦由記")) ~ "Yuki Kajiura",
      str_detect(artist_name, fixed("音阙诗听")) ~ "音阙诗听",
      TRUE ~ artist_name)
    ) %>%
  group_by(artist_name) %>%
  summarize(listens = n()) %>%
  arrange(desc(listens)) %>%
  head(25) %>%
  collect()
```

This doesn't scale too well, but it gets us what we're after.
I'm surprised [石进](https://zh.wikipedia.org/wiki/%E7%9F%B3%E8%BF%9B) beats out everyone else!

## Top by Month

Now let's dig down deeper.
For this, we'll need to bring out the big guns: window functions!
Arrow itself as of this writing (the development version of v7.0.0) lacks direct support for them.
However, that's no problem: the whole point of Arrow is to facilitate painless, costless data exchange across systems, and so the Arrow R package can seamlessly send data to [DuckDB](https://duckdb.org/) for further analysis, without copying data!

```{r}
ds2021 %>% 
  group_by(month) %>% 
  count(track_name) %>% 
  to_duckdb() %>% 
  mutate(rank = min_rank(desc(n))) %>% 
  slice_min(n = 3, order_by = rank) %>%
  arrange(month, rank) %>%
  collect()
```
Just for fun, we can see the generated SQL too:

```{r}
ds2021 %>% 
  group_by(month) %>% 
  count(track_name) %>% 
  to_duckdb() %>% 
  mutate(rank = min_rank(desc(n))) %>% 
  slice_min(n = 3, order_by = rank) %>%
  arrange(month, rank) %>%
  show_query()
```
I'm…not certain that's optimal, but I didn't have to work it out by hand, so I won't complain!

And we can do the same for artists:

```{r}
ds2021 %>%
  mutate(
    artist_name = case_when(
      str_detect(artist_name, fixed("doriko")) ~ "doriko",
      str_detect(artist_name, fixed("ryo")) ~ "ryo (supercell)",
      str_detect(artist_name, fixed("supercell")) ~ "ryo (supercell)",
      str_detect(artist_name, fixed("花たん")) ~ "Hanatan",
      str_detect(artist_name, fixed("梶浦由記")) ~ "Yuki Kajiura",
      str_detect(artist_name, fixed("音阙诗听")) ~ "音阙诗听",
      TRUE ~ artist_name)
    ) %>%
  group_by(month) %>%
  count(artist_name) %>%
  to_duckdb() %>% 
  mutate(rank = min_rank(desc(n))) %>% 
  slice_min(n = 3, order_by = rank) %>%
  arrange(month, rank) %>%
  collect()
```

Fun!

## Listens Over Time

Finally, let's look at all our data, not just 2021. 
We'll take the 10 most-listened songs, then plot how the listen count has accumulated over time.

```{r}
fixed_tracks <- ds %>%
  mutate(track_name = case_when(
    str_detect(track_name, fixed("Yoru wo Kakeru")) ~ "Run through the Night",
    str_detect(track_name, fixed("夜を駆ける")) ~ "Run through the Night",
    str_detect(track_name, fixed("Grand Escape")) ~ "Grand Escape",
    str_detect(track_name, fixed("メルト")) ~ "Melt",
    str_detect(track_name, fixed("キャットフード")) ~ "Cat Food",
    str_detect(track_name, fixed("ロミオとシンデレラ")) ~ "Romeo and Cinderella",
    str_detect(track_name, fixed("夕日坂")) ~ "Sunset Hill",
    TRUE ~ track_name
    ))
top10 <- fixed_tracks %>%
  group_by(track_name) %>%
  summarize(listens = n()) %>%
  arrange(desc(listens)) %>%
  head(10) %>% 
  collect()
top10
```
Next, we'll use a join to filter our original dataset, keeping only the top 10 songs:

```{r}
top10_over_time <- fixed_tracks %>%
  select(listened_at, track_name) %>%
  inner_join(top10) %>%
  select(listened_at, track_name)
top10_over_time %>% collect()
```

Finally, we'll swap over to DuckDB and compute a cumulative sum:

```{r}
cumulative_listens <- top10_over_time %>%
  select(listened_at, track_name) %>%
  # Get something to cumsum
  mutate(n = 1) %>%
  group_by(track_name) %>%
  to_duckdb() %>%
  arrange(listened_at) %>%
  mutate(listens = cumsum(n)) %>%
  to_arrow() %>%
  mutate(listened_at = cast(listened_at, timestamp("s"))) %>%
  arrange(listened_at) %>%
  collect()
cumulative_listens %>% head(10)
```

(We send the data back to Arrow to convert to timestamps since the DuckDB integration gives a type error if we do it beforehand.)

```{r, fig.width = 10, fig.height = 10}
ggplot(data = cumulative_listens, aes(x = listened_at, y = listens, group = track_name, colour = track_name)) +
  ggtitle("Cumulative Listens of Top 10 Songs Over Time") +
  xlab("# of listens") +
  ylab("Song") +
  labs(colour = "Song") +
  geom_line(size = 1) +
  scale_color_brewer(palette = "Paired") +
  theme(legend.position = "bottom", legend.box = "vertical") +
  guides(colour = guide_legend(nrow = 2, byrow = TRUE))
```

We can do the same for artists.

```{r}
fixed_artists <- ds %>%
  mutate(
    artist_name = case_when(
      str_detect(artist_name, fixed("doriko")) ~ "doriko",
      str_detect(artist_name, fixed("ryo")) ~ "ryo (supercell)",
      str_detect(artist_name, fixed("supercell")) ~ "ryo (supercell)",
      str_detect(artist_name, fixed("花たん")) ~ "Hanatan",
      str_detect(artist_name, fixed("梶浦由記")) ~ "Yuki Kajiura",
      str_detect(artist_name, fixed("Kalafina")) ~ "Yuki Kajiura",
      str_detect(artist_name, fixed("FictionJunction")) ~ "Yuki Kajiura",
      str_detect(artist_name, fixed("音阙诗听")) ~ "interestingcn",
      str_detect(artist_name, fixed("石进")) ~ "Shi Jin",
      str_detect(artist_name, fixed("光田康典")) ~ "Yasunori Mitsuda",
      str_detect(artist_name, fixed("Yasunori Mitsuda, Millenial Fair")) ~ "Yasunori Mitsuda",
      str_detect(artist_name, fixed("植松伸夫")) ~ "Nobuo Uematsu",
      str_detect(artist_name, fixed("Nobuo Uematsu / Ririko Yamabuki")) ~ "Nobuo Uematsu",
      str_detect(artist_name, fixed("スピッツ")) ~ "Spitz",
      str_detect(artist_name, fixed("天門")) ~ "TENMON",
      str_detect(artist_name, fixed("ヨルシカ")) ~ "Yorushika",
      str_detect(artist_name, fixed("Dj Okawari, Emily Styler")) ~ "DJ Okawari",
      TRUE ~ artist_name)
    )
top10_artists <- fixed_artists %>%
  group_by(artist_name) %>%
  summarize(listens = n()) %>%
  arrange(desc(listens)) %>%
  head(10) %>% 
  collect()
top10_artists
```

```{r}
top10_artists_over_time <- fixed_artists %>%
  select(listened_at, artist_name) %>%
  inner_join(top10_artists) %>%
  select(listened_at, artist_name)
cumulative_artists <- top10_artists_over_time %>%
  select(listened_at, artist_name) %>%
  mutate(n = 1) %>%
  group_by(artist_name) %>%
  to_duckdb() %>%
  arrange(listened_at) %>%
  mutate(listens = cumsum(n)) %>%
  to_arrow() %>%
  mutate(listened_at = cast(listened_at, timestamp("s"))) %>%
  arrange(listened_at) %>%
  collect()
cumulative_artists %>% head(10)
```

```{r, fig.width = 10, fig.height = 10}
ggplot(data = cumulative_artists, aes(x = listened_at, y = listens, group = artist_name, colour = artist_name)) +
  ggtitle("Cumulative Listens of Top 10 Artists Over Time") +
  xlab("# of listens") +
  ylab("Artist") +
  labs(colour = "Artist") +
  geom_line(size = 1) +
  scale_color_brewer(palette = "Paired") +
  theme(legend.position = "bottom", legend.box = "vertical") +
  guides(colour = guide_legend(nrow = 2, byrow = TRUE))
```

