Philosophers use of modifiers

Phil Journals i

A horizontal bar chart shows the percentage of modifier usage in selected works across sixteen philosophy journals, with values ranging from 28 to 122. The chart animates bar growth on load and highlights each bar in orange on mouseover. It uses d3.v3 with an ordinal y-scale and linear x-scale, parsing CSV data from Project Gutenberg texts, and renders SVG rectangles with axes.

74% match

Brushable bar chart - Horizontal - IV

This example shows a brushable horizontal bar chart of the most-cited philosophers, with each bar representing an individual scholar and its length corresponding to citation count. The visualization pairs a detailed main chart with a smaller mini chart, where users can drag a brush to filter which portion of the ranked list is displayed. The chart uses D3 v3 with SVG rendering, employing `d3.behavior.zoom` for mouse-wheel scrolling and a brush for selection. Data, which includes citation counts from analytic and continental philosophy journals, is loaded from a CSV file and sorted by frequency.

65% match

Heatmap of philosophy clusters

This heatmap visualizes 13 philosophy subfields on both axes, with cell colors encoding a similarity or co-occurrence value. The code uses `d3.tsv` to parse tab-separated data, then constructs a quantile color scale via `d3.scale.quantile()` mapping values to a nine-color sequential palette. The chart is built with the `d3.compose` framework, combining an ordinal x/y scale and a custom `Heatmap` layer that draws rounded rectangles, with hover-free static rendering.

60% match

Visualization

A zoomable scatterplot displays a Principal Component Analysis of citation data from 2,000 philosophy articles, with points colored by K-Means clusters. The visualization uses D3 v3’s linear scales, axes, and zoom behavior to explore the bidimensional projection. Points are rendered as SVG circles with tooltips via d3-tip, and a button switches the x-axis variable, triggering a transition on the dot transforms. Data is loaded from a CSV file, and the plot includes a categorical color legend.

Brushable bar chart - Horizontal - V

This horizontal bar chart displays the gross counts of 48 philosophical publications. A main chart shows all values, while a smaller mini chart contains a brushable window. Users can drag this window, click to reposition it, or adjust its size with handles to control the visible range. The main chart updates its x-axis scale to fit the largest visible bar, ensuring optimal use of space. Built with D3 v3, it uses SVG for rendering and employs `d3.behavior.zoom` for mouse-wheel scrolling over the main chart for additional navigation.

Publications in philosophy over time

A line chart displays the number of philosophy publications per year from 1906 to 2017, with a gradual rise and a sharp increase after 1975, peaking near 4000 in 2015. The visualization uses D3 v3 to load a CSV file, parse years as time values, and render an SVG path with axes. It applies `d3.time.scale`, `d3.svg.axis`, and `d3.svg.line` to map dates to x-positions and publication counts to y-positions, with the steel-blue line showing the trend over time.

Visualization

This visualization displays a principal component analysis of citation data from 2,000 philosophy articles, projecting each article into a 2D scatterplot where points are colored by K-Means cluster assignment. The chart, built with D3 v3 and rendered as SVG, supports zooming and panning through the d3.behavior.zoom API. Each dot represents an article, with mouseover tooltips provided by the d3-tip library. The visualization includes an interactive button that switches the x-axis to display carbohydrate values, demonstrating a data-viewing alternative, though the primary dataset remains the citation components.

Visualization

This interactive scatterplot visualizes a Principal Component Analysis of citation data from 2,000 philosophy articles from the 1990s, with points colored by K-Means clusters. Users can zoom and pan the plot using d3.behavior.zoom and hover over points to see tooltips generated by d3.tip. The visualization is built with D3 v3, rendering SVG circles, and includes a button that switches the x-axis to display carbohydrate values, triggering a transition that updates the axis and dot positions.