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PROJETO

Data Visualization Project @ NOVA IMS
Authors: António Cymbron | Duarte Redinha | Maria João Marques
Lisbon, Portugal | April 2022.

Music Searcher Visualization Product

This project was made under the evaluation criteria for the course of Data Visualization, part of the curricular plan of the Master in Data Science and Advanced Analytics, with specialization in Data Science, taught at NOVA Information Management School.

Data Source

The data used is the result of specific data treatment for the purpose in-hands in two .csv files - tracks.csv, and artists.csv. Both can be checked here: Spotify Datasets. This dataset is owned by Lehak Narnauli, and had the contribution of Aditya Kumar.

Metadata

tracks.csv

Variable Class Description
id character Song unique ID
name character Song Name
popularity double Song Popularity (0-100), where higher is better
duration_ms double Duration of song in milliseconds
explicit integer Is the song explicit? (0, if No; 1, otherwise)
artists character Song Artist(s)
id_artists character Song Artist(s) unique ID
release_date character Date when the Song was Released
danceability double Danceability describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable.
energy double Energy is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.
key double The estimated overall key of the track. Integers map to pitches using standard Pitch Class notation . E.g. 0 = C, 1 = C♯/D♭, 2 = D, and so on. If no key was detected, the value is -1.
loudness double The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typical range between -60 and 0 db.
mode double Mode indicates the modality (major or minor) of a track, the type of scale from which its melodic content is derived. Major is represented by 1 and minor is 0.
speechiness double Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value. Values above 0.66 describe tracks that are probably made entirely of spoken words. Values between 0.33 and 0.66 describe tracks that may contain both music and speech, either in sections or layered, including such cases as rap music. Values below 0.33 most likely represent music and other non-speech-like tracks.
acousticness double A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.
instrumentalness double Predicts whether a track contains no vocals. “Ooh” and “aah” sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly “vocal”. The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.
liveness double Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live.
valence double A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).
tempo double The overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration.
time_signature integer An indication of rhythm following a clef, generally expressed as a fraction with the denominator defining the beat as a division of a semibreve and the numerator giving the number of beats in each bar. The values range from 0 to 5.

artists.csv

Variable Class Description
id character Artist unique ID
followers double Number of followers
genres character Genres attributed
name character Artist Name
popularity double Artist Popularity (0-100), where higher is better

Enjoy at https://music-discover-april2022.herokuapp.com/

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