MoMA Artworks Visualizations

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MoMA Artworks Visualizations

✓ Published0🌍 Public

Last edited Apr 26, 2023

Created on Apr 20, 2023

This gallery displays four interactive visualizations of MoMA artwork data, covering artists, nationalities, mediums, and departmental classifications. Each visualization loads in an iframe and can be enlarged by clicking, using D3.js v5 selection methods like `selectAll` and classed toggling. The code relies on `d3.select`, `d3.selectAll`, and event handling to toggle full-screen viewing, resizing iframes dynamically. The visualizations themselves are embedded from VizHub, with the surrounding page styling handled by CSS for layout and captions.

AI-generated description

T The proposal can be found here: https://github.com/IeKimI/dataviz-project-proposal/blob/master/README.md

The visualizations included in this page are:

MIT Licensed

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MoMA Artworks - Department & classification

This visualization combines a tree diagram with two pie charts to explore the MoMA dataset’s Department and Classification fields. The tree uses a hierarchical layout to show the distribution of artworks across departments and their sub-classifications, with interactive highlighting of connected nodes on hover. The two pie charts display the counts of artworks by Classification and by Department, each with interactive tooltips and legend-based highlighting. The visualization is built with Vue, d3.v7, and SVG, using d3.tree, d3.pie, d3.arc, and d3.scaleOrdinal for rendering and animations.

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MoMA Streamgraph

This visualization displays the most used mediums in MoMA’s collection over time as a streamgraph, with each colored layer representing a medium like Lithograph or Ink. The chart uses d3.stack with a wiggle offset to create the flowing shapes, applies smoothing via array-blur, and labels areas using the d3-area-label library. Hovering an area highlights it with a white border, and a legend helps identify smaller layers. Data comes from a CSV file of MoMA artworks, parsed and scaled by year.

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Tree Map: MoMA Dataset

A treemap visualizes the distribution of artist nationalities in the MoMA dataset, with each rectangle's area proportional to the count of artists from that country. Hovering over a rectangle displays a tooltip showing the nationality and its exact count, while the color scale assigns a distinct hue to each nationality. The visualization uses D3 v7 APIs including `d3.treemap`, `d3.hierarchy`, and `d3.scaleOrdinal` with `schemeTableau10`. The code processes an in-memory array of nationality counts, renders rectangles via SVG, and manages the tooltip through D3's `select` method. The layout is computed using the default treemap algorithm with a padding of 4 pixels.

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Bar Graph with Dropdown Menu of Artists

A dropdown menu of artists filters a bar graph showing the number of MoMA artworks per year for the selected artist. Hovering highlights bars in orange with a tooltip. The visualization loads data from a CSV using D3 v7's `csvParse`, builds the menu with D3 selections, and computes annual counts via `d3.rollup`. Additional buttons open a thumbnail gallery or histogram, though the code for the latter is incomplete.

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Line Chart

This line chart shows the number of artworks per year in the MoMA collection, with time on the x-axis and artwork count on the y-axis. The chart uses the MoMA dataset, parsing dates with `d3.timeParse` and scaling them with `d3.scaleTime`. Data is aggregated using `flatGroup` and sorted by year before being rendered with a `line` generator. The visualization is built with D3 v7 within a Vue framework.

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Fork of Pie Chart with Interactive Color Legend

This pie chart visualizes the distribution of artwork classifications in the MoMA dataset, with each slice sized by the count of works in a department. Hovering over a slice reveals a tooltip showing the department name and count, while hovering over the interactive color legend dims all non-matching slices to highlight the selected category. The visualization uses d3.pie, d3.arc, and d3.scaleOrdinal with schemeTableau10 for coloring, built with Vue and rendered as animated SVG. Data is loaded from a CSV and aggregated using d3.flatGroup.

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Eri Kim - Transforming Data

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Pie Chart with Interactive Color Legend

This pie chart visualizes the distribution of artwork classifications in the MoMA collection, using data loaded from a CSV file. Hovering over a pie slice displays a tooltip showing the classification label and count, while an interactive legend on the right highlights the corresponding slice when moused over. The chart is built with D3.js v7, using `pie()` and `arc()` for slice generation, `scaleOrdinal` with `schemeTableau10` for colors, and transitions for opacity changes during legend interactions.

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