310551076_HW3_Popularity_Bar_Plot

100%

310551076_HW3_Popularity_Bar_Plot

✓ Published1🌍 Public

Last edited Nov 21, 2022

Created on Oct 20, 2022

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of 310551076_test

A histogram displays the popularity of the top ten songs for a selected music genre, chosen from a dropdown menu. Each bar’s height corresponds to the track’s popularity value on a fixed 0–100 scale. The visualization uses D3 v3 (imported via `d3.scaleBand` and `d3.scaleLinear`) to render SVG rectangles with a transition animation when the genre changes. Data comes from a CSV file, and the genre list includes many categories like pop, rock, and jazz.

陳陳泰元

82% match

Loading thumbnail…

Track_Genre_Ranking Bar Chart

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.

Sstephanie0215

81% 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

80% 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

80% match

Loading thumbnail…

Untitled

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.

JJingya

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

77% match

Loading thumbnail…

D3 Interactive plot

This interactive line chart lets users explore musical trends across different artists by clicking buttons to switch datasets, which are loaded from CSV files hosted on GitHub. Built with D3.js v6, the visualization uses `d3.csv()` to fetch data and renders an SVG with a single line per playlist genre. The chart includes a color-coded legend for six genres—pop, rap, rock, latin, r&b, and edm—using an ordinal color scale. Clicking a button updates the chart by removing existing line elements and redrawing them with the new data, providing a dynamic way to compare genre patterns across artists.

Vvedant74

77% match

Loading thumbnail…

Data Visualization - Histogram Plots of Spotify Track Dataset

This interactive histogram visualization lets users explore a Spotify track dataset by comparing the distributions of ten audio features, including popularity, energy, danceability, and tempo. Two dropdown menus select which features to plot on the x- and y-axes, while two additional menus choose musical genres to highlight in the scatterplot. The visualization renders as an SVG using D3.js v5, with React dropdown components for the menus, and includes animated transitions and tooltips. The code relies on D3 scales, axes, and the d3-legend library to display the genre colors.

JJuliachien

76% match