Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published1🌍 Public
JJingya
Last edited Nov 21, 2022
Created on Nov 18, 2022

Two linked bar chart and donut chart views examine Spotify track data filtered by popularity and genre. The bar chart filters tracks with popularity between 80 and 100, counts occurrences per genre, and displays only genres with at least 10 tracks, using `d3.scaleBand` and `d3.axisBottom`. The donut chart presents popularity above 80 with `d3.pie`, `d3.arc`, and categorical color scales. Both render as SVG using `d3.csv` to load the dataset.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

See also:

MIT Licensed

Similar vizzes

Loading thumbnail…

Spotify_Vertical Stylized Bar Chart

This interactive visualization explores the distribution of audio features across a Spotify tracks dataset. It displays a vertical, stylized bar chart where each bar represents the count of tracks within a specific numerical bin for a user-selected attribute, such as popularity or danceability. The chart is built with React and D3 v7, using `d3.histogram()` and `scaleLinear` to compute and map the bins. A line overlay charts the average popularity for each bin, while dropdown menus allow users to switch between attributes and adjust the number of bins. The visualization renders as SVG and includes dual axes and a color legend to simultaneously show track counts and average popularity.

Sstephanie0215
80% match
Loading thumbnail…

Spotify_Vertical Stylized Bar Chart

This visualization uses a Spotify track dataset to show the distribution of audio features and popularity across acoustic tracks. A histogram display counts tracks binned by user-selected attributes (like tempo, energy, or danceability), with bars colored in blue to represent frequency. An orange line overlay traces the average track popularity within each bin, while a small box plot on the right summarizes the overall spread of the selected attribute. The React app uses d3.histogram, scaleLinear, and scaleBand to compute and position marks, with dropdown menus for attribute and bin selection.

Sstephanie0215
80% match
Loading thumbnail…

Spotify Tracks Dataset

This interactive visualization explores a Spotify tracks dataset, letting users examine tracks by artist, album, and genre through a series of linked bar charts. Each chart displays tracks sorted by popularity, with dropdown menus to filter the data. Clicking a bar reveals detailed track information, including danceability, energy, and tempo. Built with Vue and D3 v5, the SVG-based charts use `scaleBand` and `scaleLinear` for axes and `select` for DOM manipulation, with a custom tooltip providing hover feedback. The dataset includes track metadata such as artist, album, and audio features.

Cchristina030
79% match
Loading thumbnail…

data vis hw3

This interactive dashboard explores a Spotify dataset, displaying a genre treemap alongside a bar chart of track counts for the top 10 artists within a selected genre. The interface includes 64 small scatter plots comparing musical attributes for the chosen genre, with a highlighted overlay for a selected artist. Built with React and D3 v7, the visualization uses SVG rendering, d3.treemap for the genre hierarchy, d3.scaleBand for the bar chart, and d3.scaleLinear for the scatter plots. Users can click the treemap to change genres and bar chart bars to filter artists.

Yyeeet0421
79% match
Loading thumbnail…

Untitled

This interactive visualization displays a histogram of numeric attributes from the Spotify top-10s dataset, with a second card showing a scatter plot. Users can select columns and dynamically adjust bin width by dragging on a button. The code uses `d3.histogram()` with `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft` for rendering, while transitions animate axis updates and bar shapes. Hovering highlights bars and reveals count labels, with SVG output generated via D3 v4.

PProt0type
79% match
Loading thumbnail…

music2

This interactive bar chart explores a dataset of music tracks, showing the average popularity of songs grouped by a selected attribute. Users can switch the grouping variable via dropdown menus, and a scrollable overview bar allows panning through many categories. Built with D3.js and Vue, the visualization uses `scaleBand` and `scaleLinear` for positioning and `axisBottom`/`axisLeft` for axes, with drag handling to update the visible range. Data is loaded from a CSV file.

Aa15923647
79% match
Loading thumbnail…

310551076_HW3_Popularity_Bar_Plot

This interactive bar plot displays the top ten tracks by popularity within a selected music genre, using data loaded from a CSV file. A dropdown menu lets users switch between genres, triggering a smooth transition animation as bars update to reflect the new ranking. The visualization is built with D3.js v7, using `scaleBand` and `scaleLinear` for axes, `transition().duration()` for animated updates, and SVG rendering with rotated axis labels for track names.

陳陳泰元
79% match
Loading thumbnail…

Spotify_Tracks

This visualization explores the relationship between a selected audio feature and song popularity using Spotify track data. Users can switch among features like danceability, energy, and valence via a dropdown, and adjust the number of bins with a slider. The chart combines a bar chart of average popularity with a lower panel showing track counts, colored by loudness and duration using d3 scales. The React app uses d3.rollups, d3.pairs, and scaleBand/scaleLinear to aggregate and render the SVG with animated transitions.

Gginnyching
78% match