Untitled

100%

✓ Published0🌍 Public

Last edited Mar 25, 2021

Created on Mar 25, 2021

This chart shows the market share of web browsers across a two-month period in 2015, using stacked areas to display each browser's percentage over time. It is built with D3.v4, using `d3.stack` and `d3.area` to create the stacked layers, and `d3.timeParse` to convert the date column. The data is loaded from a TSV file, with a legend labeling each layer near the right edge, and the y-axis is formatted to show percent values.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Stacked Area Chart

This stacked area chart shows the daily market share of web browsers over a three-month period, with each browser represented by a colored area stacked to total 100%. The visualization uses D3 v4 to load TSV data from Clicky Web Analytics, parse dates with `d3.timeParse`, compute stacked y-positions with `d3.stack()`, and render areas using `d3.area()`. Axes are drawn with `d3.axisBottom` and `d3.axisLeft`, while colors come from `d3.schemeCategory10` via `d3.scaleOrdinal`. The final SVG output includes labels for each browser placed at the right edge of the chart.

MMattDionis

88% match

Loading thumbnail…

Stacked Area Chart

This stacked area chart shows the daily market share of popular web browsers from June to September 2015, using data from Clicky Web Analytics. The visualization encodes time on the x-axis and percentage share on the y-axis, with each browser represented by a distinct color from `d3.schemeCategory10`. The code loads and parses a TSV file using `d3.tsv`, computes stacked positions with `d3.stack`, and renders the areas with `d3.area`. It employs `d3.scaleTime`, `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.extent` for scaling and domains, while axes are generated with `d3.axisBottom` and `d3.axisLeft`.

FFrissAnalytics

86% match

Loading thumbnail…

Untitled

This visualization displays the market share of five major web browsers from 2008 to 2017 as multiple colored lines on a single time-series chart. The graph shows Chrome’s rapid rise and Firefox’s decline, along with the stable trends of Safari and Opera. Using D3 v4 within a React framework, the code loads CSV data with `d3.csv`, parses dates with `d3.timeParse`, and renders SVG paths via `d3.line` with `d3.curveMonotoneX`. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, with a categorical color scale from `d3.scaleOrdinal`.

Rrichad97

86% match

Loading thumbnail…

Stacked Area Chart

This stacked area chart visualizes the global market share of popular web browsers from June to September 2015, using data from Clicky Web Analytics. Time-series data for eight browser categories is loaded from a TSV file and stacked using `d3.stack`. The visualization encodes dates on the x-axis with `d3.scaleTime`, market share percentages on the y-axis with `d3.scaleLinear`, and browser categories with the ordinal color scheme `d3.schemeCategory10`. Regions are drawn as SVG paths via `d3.area`, with axes generated by `d3.axisBottom` and `d3.axisLeft`.

Mmbostock

85% match

Loading thumbnail…

fresh block

This visualization displays the daily market share of web browsers over a three-month period using a stacked area chart. The chart encodes each browser as a colored layer, with the y-axis showing percentage of total usage and the x-axis showing time. Built with D3 v4, it uses `d3.stack()` to stack the data series, `d3.area()` to construct the path geometries, and `d3.scaleTime()` and `d3.scaleLinear()` for the axes. The data is loaded from a TSV file, and category labels are positioned at the right edge of the chart for the larger share layers.

AAsilve00

84% match

Loading thumbnail…

Untitled

This example displays a donut chart of browser usage statistics from January 2017, with each segment labeled by browser name. The visualization uses D3 v4’s `pie` layout, `arc` for both the outer ring and inner labels, and `scaleOrdinal` for categorical coloring. Data is loaded via `d3.csv` from "browseruse.csv" and rendered as SVG, with the title styled as a separate text element. The chart encodes percentages as arc lengths, highlighting relative market share at a glance.

SShreya Nandkumar Jadhav

82% match

Loading thumbnail…

Stacked Area Chart

This stacked area chart visualizes the changing market share of web browsers over time, derived from Clicky Web Analytics data. It displays the proportions of the "Bottom 99 percent" and "Top 1 percent" income groups across the years, using a categorical color scheme. The visualization loads data from a CSV file with `d3.csv` and parses years via `d3.timeParse`. D3 scales (`d3.scaleTime`, `d3.scaleLinear`, `d3.scaleOrdinal`) and shapes (`d3.stack`, `d3.area`) compute the stacked layers, while `d3.axisBottom` and `d3.axisLeft` render the axes on an SVG canvas.

MMbrownshoes

81% match

Loading thumbnail…

Pie chart

This pie chart displays browser market share percentages, with each slice colored via a categorical scale and a legend identifying the browser names. It uses D3 v7 with `d3.pie` and `d3.arc` to generate the SVG paths, and `d3.csv` to load the remote dataset. Hovering over a slice reveals a tooltip showing the browser and its exact share, while the chart includes a bold title and white stroke separators between slices.

Vvenkatamanikantavaddi@my.unt.edu

78% match