Skip to main content
SimilarExport ZIP
100%

What is the most popular songs' genre?

✓ Published1🌍 Public
Rrioto9858
Last edited Sep 20, 2020
Created on Sep 14, 2020

This bar chart shows the number of top Spotify songs per year from 2010 to 2019, colored by genre, revealing that dance pop is consistently the most popular genre while audience taste shifts annually. Built with the vega-lite-api and rendered via vega-lite, the visualization counts tracks by genre using an aggregate query. The data is loaded as CSV from a GitHub Gist using d3.csv, and the chart applies custom axis and label styling from a separate config module.

AI-generated description

A visualization constructed using the vega-lite-api.

The data shown here comes from the Kaggle: Top Spotify songs from 2010-2019 - BY YEAR via Gist: Top 50 Spotify music dataset (from 2010 to 2019 )

Accordig to the barChart we can know that the dance pop is the most popular genre each year. Also, we can find that the taste of the audience changes each year and some niche music can be accepted by more people.

MIT Licensed

Similar vizzes

Loading thumbnail…

Total Number of Most Popular Songs Genre

This stacked bar chart displays the distribution of top genres among the most popular songs for each year, showing that dance pop consistently dominates. The visualization uses vega-lite-api to encode year on the x-axis and song counts on the y-axis, with genre as color. Data is loaded via D3’s `csv` function from a GitHub gist, and a grouped aggregate transform counts songs per year and genre.

ZZiyang Gao
89% match
Loading thumbnail…

Total Number of Most Popular Songs Genre

This stacked bar chart visualizes the distribution of top genres among the most popular songs across different years, with Dance pop consistently dominating as the most frequent genre. Built using Vega-Lite API and D3.js v5, the visualization groups and counts songs by artist and genre, encoding these aggregates as stacked bars on an ordinal x-axis and quantitative y-axis. The data comes from a CSV file fetched via D3’s `csv` function from a GitHub gist containing yearly music trends. Tooltips display the count, genre, and artist for each segment.

ZZiyang Gao
88% match
Loading thumbnail…

HW3 Fork of Total Number of Most Popular Songs Genre

This stacked bar chart displays the distribution of track genres among the most popular songs for each year, sourced from a Spotify tracks CSV. The visualization shows that Dance pop consistently holds the highest count across years. Built with Vega-Lite and D3.js, the chart aggregates data per year and genre using a groupby transformation, then encodes genre as color, year on the x-axis, and song count on the y-axis. The rendering uses an SVG via the Vega-Lite API, with tooltips showing genre, count, and artist.

JJoshuoYang
87% match
Loading thumbnail…

HW3 Fork of Total Number of Most Popular Songs Genre

This stacked bar chart shows the distribution of top song genres by popularity, with dance pop consistently dominating each year. Using the Vega-Lite API and d3.csv, it aggregates Spotify track data from a gist source, counting songs per genre for each popularity value. The visualization encodes genre as color, popularity on the x-axis, and song counts on the y-axis, with tooltips revealing exact figures. The config.js file customizes axis labels and styling for improved readability.

JJoshuoYang
86% match
Loading thumbnail…

Fork of Total Number of Most Popular Songs Genre

This stacked bar chart visualizes the distribution of top genres among the most popular songs for each year, using data from a public gist. The visualization is implemented with a Vega-Lite specification rendered via the vega-lite-api library, where each bar segment represents a genre’s count. The x-axis lists artists, while the y-axis shows total song counts, colored by genre. The code configures axis styling and tooltips, and the chart automatically fits to the browser window. Dance pop consistently appears as the most frequent genre across the timeline.

AAmanda-Tai
86% match
Loading thumbnail…

The top 100 songs of 2018

This scatterplot explores the relationship between danceability and duration (in milliseconds) for the top 100 songs of 2018, with each bar representing a track and colored by its musical mode (major or minor). Hovering reveals the song’s name. The visualization uses Vega-Lite API with D3.js to fetch CSV data from a GitHub gist, and applies a binned bar mark with semi-transparency, customized axes, and tooltip handling via vega-tooltip.

Ssamemurk21
71% match
Loading thumbnail…

Yearly Top Genre Trend and Artist with Music Signature

This interactive scatter plot explores how the top 20 Spotify songs in the U.S. vary by year from 2010–2019. A slider selects the year, while dropdown menus choose which musical features (Tempo, Energy, Loudness, etc.) map to the x- and y-axes and whether points are colored by top genre or artist. Users can hover over the color legend to highlight a specific category or hover over a point to see its song details. The visualization is built with React and D3 v5, using SVG scales like `scaleLinear` and `scaleOrdinal` and components for axes, marks, and dropdowns. Data comes from a CSV hosted on GitHub.

ZZiyang Gao
70% match
Loading thumbnail…

Yearly Music Trend Signature

This visualization tracks the average values of musical attributes, such as energy or danceability, across the top 10 Spotify songs each year from 2010 to 2019. A multi-line chart displays these trends, using color to distinguish each musical signature, with tooltips revealing the standard deviation of each attribute. The visualization is built with D3.js, Vega-Lite, and the Vega-Lite API, pulling pre-calculated mean and standard deviation data from a CSV file on GitHub.

ZZiyang Gao
70% match