Skip to main content
100%

Top 10,000 German nouns with definite articles (Leipzig-corpora frequency ranking; articles from Wiktionary / der-artikel.de / Haiku adjudication). Columns: rank,noun,article,all_articles,frequency,source,note

✓ Published0🌍 Public
Aamirothman
Last edited Aug 26, 2026
Created on Aug 26, 2026

This interactive WebGL visualization charts the 10,000 most frequent German nouns by rank, with each noun positioned by frequency and color-coded by its definite article (der/die/das). The nouns are rendered as a dense, scrollable strip or grid, where hovering or selecting a point reveals the noun, its rank, frequency, and the article(s) it can take. Data comes from the Leipzig corpora frequency ranking, with articles sourced from Wiktionary and der-artikel.de. The view also highlights ambiguous nouns and toponyms via annotations, letting readers explore how grammatical gender distributes across high-frequency vocabulary.

AI-generated description

Similar vizzes

Loading thumbnail…

Wuerde Project

This visualization displays a t-SNE projection of approximately 5,000 ZEIT articles, mapping the semantic structure of the word "Würde" (dignity). Each point represents a contextual usage, with axes labeled as principal components. Built with Vue and D3.js, it renders points as an SVG scatterplot using `d3.scaleLinear` for coordinates. Hovering reveals the original article excerpt in a tooltip, encoding the embedding’s relationships. The visualization uses `d3-scale-chromatic`, `d3.axisBottom`, and `d3.brush` for potential interaction, while data is loaded from a CSV file via `d3.csv`.

MMNoichl
57% match
Loading thumbnail…

Wuerde Project

This interactive scatterplot maps the semantic contexts of the word "Würde" across roughly 5,000 German news articles. Using t-SNE coordinates from a CSV file, each dot represents a usage, with hovering a dot revealing a text excerpt as a tooltip. The visualization is built with D3.js v4, employing `d3.scaleLinear` for axes and the `d3-scale-chromatic` library for potential color cues. The SVG renderer displays data on principal component axes, allowing users to explore thematic clusters.

MMNoichl
57% match
Loading thumbnail…

Top 100

This visualization displays the 100 most important news keywords for the current date, fetched from a custom news API and rendered as a simple ranked list. Each list item shows the keyword as a hyperlink and its frequency count in parentheses. The page title and a heading indicate the date. The code uses jQuery to retrieve the data via `d3.json`, and D3.js version 4.2.3 to bind the array to an HTML `<ul>` and append `<li>` elements with embedded anchor tags. The links point to a related news search endpoint, and the layout relies on Bootstrap for basic styling.

Aaaizemberg
55% match
Loading thumbnail…

D3 Wordcloud

This visualization generates a word cloud from a German legal text, displaying the most frequent terms in varying font sizes based on their occurrence. It uses the D3 word cloud layout algorithm by Jason Davies, which places words on a canvas using a spiral collision detection method. The example is initialized with a string of common German stop words to filter out frequently occurring but uninformative terms, then animates the placement of the remaining words as they are positioned into the cloud. The layout is rendered with SVG elements, and the word placement animation reveals the cloud forming word by word.

Aalex-rind
54% match
Loading thumbnail…

Customizing Ranking of German Companies

This visualization shows the top German companies ranked by revenue in 2017, with each company represented as a horizontal bar ordered by sales figures. The chart clearly displays the revenue hierarchy, from Volkswagen at the top to HeidelbergCement at the bottom. The code uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` functions to construct the SVG bar chart. Data is loaded from a semicolon-delimited CSV file using `dsv`, with revenue values parsed and scaled to billions.

JJayetsu
53% match
Loading thumbnail…

Ranking of German Companies

This bar chart ranks the 50 largest German companies by revenue in billions of euros, using a horizontal layout with company names on the y-axis and revenue on the x-axis. The visualization is built with D3 v5, employing `scaleLinear` for the quantitative axis and `scaleBand` for the categorical company names, rendered as SVG rectangles filled with steelblue. Data is loaded from a semicolon-delimited CSV file via `dsv`, with revenue values parsed as numbers before binding to the scales. The chart includes left and bottom axes generated by `axisLeft` and `axisBottom`, with margins and padding applied to the band scale for readability.

Mmimatador
51% match
Loading thumbnail…

top 10 news

The visualization displays the top 10 news items as a circular bubble chart, where each bubble’s size encodes the item’s reported value and its color is assigned via `d3.scale.category10`. It loads JSON data from a remote URL using `d3.json`, then applies the `d3.layout.pack` layout to position the circles within a 500×500 SVG. Hovering a circle changes its stroke from grey to black, and a `<title>` element reveals the news name on mouseover. The rendering uses raw SVG elements created through D3’s data-join.

Aaaizemberg
51% match
Loading thumbnail…

DataViz Meetup HH: KP Brehmer - Waagerecht

This visualization recreates KP Brehmer’s “Korrektur der Nationalfarben,” showing the distribution of wealth in Germany for 2023 as a stylized national flag. Three stacked rectangles—black, red, and yellow—represent the middle, lower, and upper classes, with their widths proportional to each group’s share of wealth (36.44%, 2.31%, and 61.25%). The D3.js code uses `select`, `selectAll`, and `join` to construct the SVG, with dynamic `attr` bindings for rectangle positions and sizes, based on hardcoded percentage data.

Jj.s.koenig@posteo.de
50% match