Track_Genre_Ranking Bar Chart

100%

Track_Genre_Ranking Bar Chart

✓ Published1🌍 Public

Last edited Dec 21, 2022

Created on Nov 22, 2022

This interactive bar chart ranks the top 10 track genres by a user-selected audio attribute, such as popularity, danceability, or energy. It uses React state to manage the selected attribute and D3 v7 utilities like `csv`, `scaleBand`, `scaleLinear`, and `nest` to aggregate and sort the data from a CSV file. The visualization is rendered as SVG with custom `AxisBottom`, `AxisLeft`, and `Marks` components.

AI-generated description

A program that loads in some data using D3 utilities, and uses REACT state to keep track of the data.

MIT Licensed

Similar vizzes

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

81% match

Loading thumbnail…

Comparison of two different kind of track genre

This interactive visualization compares audio attributes of two track genres from a Spotify dataset. Users select genres from dropdown menus, and the view displays mirrored horizontal bar charts showing attribute averages (like danceability, energy, and tempo) side by side, with a third bar chart breaking down attribute values in detail. The D3.js v7 scales and SVG rendering handle the chart layout, while React state manages user selections and filters the CSV data, computing averages per genre to support direct comparison.

Sstephanie0215

81% match

Loading thumbnail…

D3js gab

This bar chart displays the popularity of 50 music genres, ranked by a sum of artist popularity. The visualization uses a standard vertical bar layout with an x-axis for genre names and a y-axis for the popularity sum. Built with D3.js v3, the code uses `d3.select`, `d3.json`, `d3.scale.ordinal`, `d3.scale.linear`, and `d3.svg.axis` to fetch data from a remote API, create the scales, and render the SVG bars. The chart includes rotated axis labels and a grid.

DDevMoutarde

79% match

Loading thumbnail…

CSV Data

This example visualizes aggregated popularity by music genre using CSV data loaded from a remote GitHub URL. The bar chart shows how track popularity sums vary across genres, with each genre represented as a distinct bar. The code uses d3.csv to fetch and parse the dataset, then d3.nest and d3.sum to group records by track_genre and calculate total popularity. The visualization runs in a React framework with D3 v5, though the displayed output relies solely on the data aggregation logic without additional chart rendering.

Wwaterm80

78% match

Loading thumbnail…

BarChartGenre

This interactive bar chart visualizes the sales of video game genres across different global regions, using a dropdown menu to switch between sales metrics such as Global, EU, JP, NA, and Other Sales. Built with React and D3 v5, it renders SVG rectangles via the `Marks` component, with axes generated by custom `AxisBottom` and `AxisLeft` components. The data is loaded from a CSV file using D3’s `csv` function, and the chart scales the y-axis dynamically with `scaleLinear` and `format`.

RRED98310

77% match

Loading thumbnail…

Spotify_Interactive Polished Scatter Plot_two_track_genre

This interactive scatter plot explores Spotify track attributes, such as danceability, energy, and popularity, across two selectable musical genres. Users can choose attributes from dropdown menus to define the x- and y-axes, and hover over points to see the artist and track name. Circle colors encode the track genre. Built with React, the visualization uses D3 for scales, axes, and the color legend, rendering as SVG.

Sstephanie0215

77% 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

77% match

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

77% match