explore xml 001 - reference_notes.csv

100%

explore xml 001 - reference_notes.csv

✓ Published0🌍 Public

Last edited Jul 13, 2026

Created on Jul 13, 2026

This visualization maps a musical score from reference_notes.csv into an interactive note-field chart using D3’s `d3.forceSimulation` for layout. It displays pitch on the vertical axis and time (bars/beats) on the horizontal, with note length encoded as bar width. Dynamics transitions and slur arcs are drawn as SVG paths, while note colors reflect pitch classes. The code parses the CSV via `d3.csv`, converts note names to frequencies, and uses a custom tick function to position elements.

AI-generated description

Similar vizzes

Loading thumbnail…

Explore xml - bars all.json

This visualization displays a musical score as an interactive bar chart derived from a JSON representation of four measures of notation. Each bar corresponds to a note, with height reflecting duration and color encoding pitch or dynamic markings such as crescendos and slurs. The code parses the gist data to extract pitch, duration, and gesture metadata, then renders bars using D3.js scales and SVG paths, while annotations from the JSON’s notation arrays are mapped to visual markers. The example demonstrates how structured musical data can be transformed into a quantitative graphic.

Aabonello

80% match

Loading thumbnail…

explor xml 001 -- Bars all.txt

An XML MusicXML score excerpt is visualized as a musical notation system, showing measures, notes, and performance directions. The file contains structured data with pitch, duration, ties, slurs, dynamics (p, mf, crescendo, diminuendo), tempo, and clef information. The visualization renders this notation using the MusicXML format, displaying a melody in C major with quarter, half, and whole notes, plus an accidental. It uses the data's default-x and default-y attributes to position elements, with text like "Allegretto" and metronome markings embedded in the XML structure.

Aabonello

73% match

Loading thumbnail…

Gist 2c273c951b2ad6db9ca092e718ce2764

The visualization renders a single musical score for voice, displaying the composition "Explore XML" as a static music notation layout. It uses the MusicXML file format to parse and display the score, with the Bravura music font and Academico text font controlling the visual appearance of notes, lyrics, and credits. The example demonstrates how structured musical data, including page dimensions, margins, and system layouts, can be translated into a graphical representation using the document's inherent XML structure.

Aabonello

72% match

Loading thumbnail…

Song's Note: Start & End - With choice

This interactive D3 visualization explores a MIDI song by displaying each track's notes as horizontal bars, with x-position indicating start time and bar width representing duration. A color legend for MIDI files lets viewers select which song to examine, while a second legend filters individual tracks. The scatter plot uses `d3.scaleLinear` for axes and `d3.scaleOrdinal` with `d3.interpolateViridis` for note colors, with `transition.duration` and `.delay` animating the bars. Data comes from the Million Song Dataset, rendered as SVG.

RRubens

71% match

Loading thumbnail…

Gist 7942740a263d3aa26e8c77adad206372

This visualization is an interactive canvas-based musical instrument that maps a two-dimensional grid of colored, circular nodes to specific musical notes. It shows how different spatial regions correspond to different tones, with the size and color of each node likely encoding additional sonic parameters such as pitch or octave. The application uses a custom `PitchDetector` algorithm and a `Player` class to translate node interactions into audio output, while the rendering relies on Canvas drawing operations. The code references the `notes_midi_freq.csv` dataset to map note names and MIDI numbers to their corresponding frequencies, enabling the generation of accurate musical tones.

MMAKIO135

70% match

Loading thumbnail…

Song's Note Zoom Scatter Plot

This zoomable scatter plot visualizes the individual music notes from a MIDI song track, plotting each note’s start time in Midi ticks along the x-axis against its pitch class and octave on the y-axis. The data, sourced from the Million Song Dataset, is rendered as semi-transparent circles using SVG. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and a `zoom` behavior to enable panning and scaling. Notes are ordered using a custom helper function that sorts by octave and chromatic pitch.

RRubens

69% match

Loading thumbnail…

index(11823810).html

This interactive D3 visualization demonstrates how to load and explore CSV data, displaying it as a bar chart and computing summary statistics. Users can filter the dataset by category and previous value through dropdown menus, with hover tooltips showing detailed records. The page also includes a small SVG icon showcase and prominent metric cards alongside the main visualization. The implementation uses d3.csv for data loading, d3.scaleBand and d3.scaleLinear for scales, and d3.transition for animated bar updates.

Vvineelaviswanadham07@gmail.com

68% match

Loading thumbnail…

Untitled

This interactive parallel coordinates chart visualizes audio features of songs by selected artists, including energy, liveness, valence, speechiness, and danceability. Users click buttons to load CSV data for different artists, which triggers a D3 v6 animation that redraws the plot lines. The SVG rendering uses d3.scaleLinear for axes, d3.scalePoint for positioning, and d3.scaleOrdinal to color lines by playlist genre, with a legend displayed on the right. The data is sourced from GitHub-hosted CSV files.

Vvedant74

68% match