Skip to main content
SimilarExport ZIP
100%

Spotify Artist Peak Positions

✓ Published1🌍 Public
KKhatera Alizada
Last edited Apr 16, 2023
Created on Apr 16, 2023

This interactive scatter plot visualizes Spotify artists' peak chart positions, with each circle representing a song's performance over time. A dropdown menu allows users to select different color attributes, while a color legend displays the corresponding categories. Built with D3 v7, the visualization uses SVG rendering and animated transitions to position circles along time-based x-axis and numerical y-axis coordinates. The plot reads data from an external CSV file and includes multiple chart sections showing top artists and streaming statistics.

AI-generated description

A modification of the original Scatter Plot with Menus showing the addition of a color attribute selector menu.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Spotify Artist Peak Positions

This visualization presents a scatter plot of Spotify artist data, with dropdown menus for selecting the x-axis, y-axis, and color attribute, rendered as animated SVG circles using d3.scaleTime and d3.scaleOrdinal. The code also includes a color legend and a second view with a line chart showing health expenditure trends over time, using d3.line and d3.curveBasis. Data is loaded from CSV files via d3.csv, and transitions animate circle positions over two seconds.

KKhatera Alizada
87% match
Loading thumbnail…

Spotify Peak Position Scatter Plot Simple

This scatter plot visualizes the relationship between the number of songs each artist has in Spotify’s Top 10,000 chart and their highest peak position, using a dataset of Spotify songs. The visualization uses a simple, axis-less scatter plot with circles colored by opacity to show data density. The code employs `d3.scaleLinear` and `d3.extent` to map data values to plot coordinates, and uses `d3.flatGroup` to aggregate the raw CSV data by artist. The plot is rendered using D3.js within a full-window SVG.

Fflanagancarlie@gmail.com
85% match
Loading thumbnail…

Interactions - Spotify Peak Position Scatter Plot

This interactive scatter plot visualizes Spotify’s top 10,000 songs, aggregated by artist to show the relationship between an artist’s number of songs in the dataset and their peak chart position, peak streams, or total streams. Dropdown menus allow switching between different y-axis metrics and filtering the dataset size. Hovering over a point reveals a tooltip with artist-specific details, while an interactive color legend highlights artists by their number of songs at max position. The visualization uses D3 v7 with logarithmic scales, `scaleOrdinal` for color encoding, and `.on('mouseover')` events for tooltips, built with modular ES6 imports.

Fflanagancarlie@gmail.com
84% match
Loading thumbnail…

Iterate Spotify Peak Position Scatter Plot

This scatter plot visualizes Spotify artists, plotting the number of songs each artist has in the Top 10,000 against their peak chart position, using a logarithmic scale on both axes to handle wide-ranging values. The visualization aggregates the raw Spotify songs dataset by artist, calculating the total song count and minimum peak position for each artist, then renders each as a semi-transparent circle. Built with D3 v7, the code uses `csvParse` and `flatGroup` to process the data, while `scaleLog` and D3’s axis components handle the scaling and labeling.

Fflanagancarlie@gmail.com
84% match
Loading thumbnail…

Top Artists Small Multiples - Spotify Peak Position Scatter Plot

This visualization uses small multiples to display scatter plots for the top ten artists, plotting each song's peak position against total streams. Each artist is shown in a separate panel, with logarithmic axes and points colored by the number of songs at the artist's maximum position. The color legend allows interactive highlighting of specific values, and hovering over points reveals song details via a tooltip. Built with D3 v7, it uses `scaleLog` for axes, `scaleOrdinal` for color, and `csvParse` to load and process Spotify song data.

Fflanagancarlie@gmail.com
82% match
Loading thumbnail…

Use Color Spotify Peak Position Scatter Plot

This scatter plot visualizes 10,000 Spotify songs, with each point representing an artist across two logarithmic axes: the number of songs in the top 10,000 and their peak chart position. The color scale, using `schemeSet1`, encodes the count of songs that reached an artist’s maximum position, with a custom legend. The code processes the CSV data using `flatGroup` and `d3.min` to aggregate artist statistics, then renders the visualization with `d3.scaleLog` scales and `d3.axisTop` and `axisLeft` for axes.

Fflanagancarlie@gmail.com
80% match
Loading thumbnail…

Spotify Peak Position Pseudo-Viz

This pseudo-viz maps a synthetic subset of the Spotify Top 10,000 Songs dataset. Each circle represents an artist, positioned on the x-axis by their song count and on the y-axis by their peak chart position, using the `xPosition` encoder. The visualization is modular, with commented-out alternative encoders—`size`, `shape`, `hue`, and `length`—showing how the same data could be rendered through different channels. Built with D3 v7, the scene is an SVG canvas where data is bound via the `.join()` API.

Fflanagancarlie@gmail.com
80% match
Loading thumbnail…

Fork of X-Axis Dropdown Spotify Peak Position Scatter Plot

This interactive scatter plot explores Spotify streaming data by comparing the number of songs an artist has in the top 10,000 against their peak chart position. A dropdown menu filters the dataset to only include songs ranked within a selected threshold, with color encoding the count of songs at each artist’s maximum position. The visualization uses d3.v7 with log-scaled axes, `flatGroup` for aggregation, and modular components for axes, legends, and the scatter plot. Data is fetched from a remote CSV and rendered as SVG circles.

Fflanagancarlie@gmail.com
80% match