The structure of our dataset is the basic format that Spotify uses as well as our subjective column that we added. Using this we have Song Title, Artist, Album, Genre, Release Year, Mood While listening, Personal Connection, and Subjective Genre. These are topics that give us more detail when it comes to how our group members feel when listening to these songs. The columns that we added as our new columns take in our own feelings when it comes to interacting with the data. Looking at it we can display emotional state, personal significance or memories associated, and even a recategorized column that each group member used for their specific interpretation.
The data types show normal classification that is very specific and Spotify curated. The additional data types that we added give a personal sense and are more specific to our group and data curation. This allows us to have quality data when it comes to creating our own dataset. Given that we were able to provide a dataset, we were able to complete it further using our own interpretations and feelings with subjectiveness.
Song Title
Artist
Album
Genre
Release Year
Mood While Listening
Personal Connection
Subjective Genre
Blinding Lights
The Weeknd
After Hours
Synthwave
2020
Uplifted
Reminds me of late-night drives
Retro Pop
Levitating
Dua Lipa
Future Nostalgia
Pop
2020
Energetic
Played at my friend's wedding party
Disco
Peaches
Justin Bieber
Justice
R&B
2021
Chill
My favorite track during summer
R&B/Pop Fusion
Good 4 U
Olivia Rodrigo
SOUR
Pop Punk
2021
Angry
Reminds me of a breakup I went through
Emo Pop
Watermelon Sugar
Harry Styles
Fine Line
Pop Rock
2019
Happy
Played during a memorable beach day
Soft Rock
drivers license
Olivia Rodrigo
SOUR
Pop
2021
Heartbroken
Makes me think of my high school relationship
Emotional Ballad
Montero
Lil Nas X
Montero
Hip-Hop
2021
Empowering
Reminds me of my coming-out moment
Hip-Hop/Pop Crossover
Stay
The Kid LAROI
F*CK LOVE
Pop
2021
Nostalgic
Played on repeat during summer
Pop
Save Your Tears
The Weeknd
After Hours
Synthwave
2020
Reflective
Makes me think about past regrets
Synthpop
Heat Waves
Glass Animals
Dreamland
Indie
2020
Dreamy
Reminds me of a late summer night with friends
Chillwave
Reflecting on The Data
We determined as a group that creating a personal connection and subjective genre off of that connection will allow our data to be more curated towards us. This not only makes our dataset one that is unique to our group, but it also allows us to be able to provide more personal connections based off of our groups responses. The personal connection column stays consistent with sharing memories of how each song affects each group member following the format of a personal connection or memory in it.
We determined to collect data from Spotify using the Spotify API and used it to collect public datasets. This was so that we would not violate anything such as private data or licensing errors. This allowed us to obtain the data cleanly as well as use it to provide the necessary transformations that we used on it to curate our own dataset.
When it comes to looking back at the platform dynamics, there can be some issues when it comes to data access. Wanting to get bulk data access, you would have to face restrictions that affect how we can retrieve data. Things such as data retrieval, user personal data, and dataset limits there are restrictions that occur when wanting to retrieve a lot of data. In general, Spotify restrictions can affect data retrieval for research.
When it comes to legal and ethical considerations that can arise when creating this dataset there are a lot of aspects. The first that comes to mind is copyright with media. Things such as musical works and artists are things that come up music related things. This is because Spotify is a paid platform where you can stream music, therefore this is a licensing thing with artists and music labels. Another thing that arose was private user data. Things such as accessing user information (private playlists, user data, images) are things that can be done with Spotify.
Documenting the data
The structure of our dataset is the basic format that Spotify uses as well as our subjective column that we added. Using this we have Song Title, Artist, Album, Genre, Release Year, Mood While listening, Personal Connection, and Subjective Genre. These are topics that give us more detail when it comes to how our group members feel when listening to these songs. The columns that we added as our new columns take in our own feelings when it comes to interacting with the data. Looking at it we can display emotional state, personal significance or memories associated, and even a recategorized column that each group member used for their specific interpretation.
The data types show normal classification that is very specific and Spotify curated. The additional data types that we added give a personal sense and are more specific to our group and data curation. This allows us to have quality data when it comes to creating our own dataset. Given that we were able to provide a dataset, we were able to complete it further using our own interpretations and feelings with subjectiveness.
Reflecting on The Data
We determined as a group that creating a personal connection and subjective genre off of that connection will allow our data to be more curated towards us. This not only makes our dataset one that is unique to our group, but it also allows us to be able to provide more personal connections based off of our groups responses. The personal connection column stays consistent with sharing memories of how each song affects each group member following the format of a personal connection or memory in it.
We determined to collect data from Spotify using the Spotify API and used it to collect public datasets. This was so that we would not violate anything such as private data or licensing errors. This allowed us to obtain the data cleanly as well as use it to provide the necessary transformations that we used on it to curate our own dataset.
When it comes to looking back at the platform dynamics, there can be some issues when it comes to data access. Wanting to get bulk data access, you would have to face restrictions that affect how we can retrieve data. Things such as data retrieval, user personal data, and dataset limits there are restrictions that occur when wanting to retrieve a lot of data. In general, Spotify restrictions can affect data retrieval for research.
When it comes to legal and ethical considerations that can arise when creating this dataset there are a lot of aspects. The first that comes to mind is copyright with media. Things such as musical works and artists are things that come up music related things. This is because Spotify is a paid platform where you can stream music, therefore this is a licensing thing with artists and music labels. Another thing that arose was private user data. Things such as accessing user information (private playlists, user data, images) are things that can be done with Spotify.