Final Project: Mini Chart 1: Nationality

Final Project: Mini Chart 3: Bar Chart Freq of Nationality_Vertical

This bar chart displays the frequency of asylum cases by nationality, with counts plotted along the y-axis and nationality categories along the x-axis. The visualization uses React with D3 v6 to render SVG elements, employing `scaleBand` for the categorical x-axis and `scaleLinear` for the count values. Data is sourced from a CSV of Defensive Asylum cases, aggregated using `d3.nest()` to count cases per nationality. Custom React components (AxisBottom, AxisLeft, Marks) handle chart rendering, and the dataset is filtered to exclude specific entries before visualization.

89% match

Final Project: Mini Chart 3: Bar Chart Freq of Nationality

This bar chart displays the frequency of nationalities among defensive asylum cases, with nationality on the y-axis and case count on the x-axis. The chart uses React with D3.js v6, employing `scaleBand` and `scaleLinear` for the axes and SVG `<rect>` elements for the bars. Data is aggregated from a CSV file using D3's `nest()` and `rollup()` functions, sourced from the United Nations World Population Prospects 2019. Tooltips reveal the exact count for each bar on hover.

88% match

Final Project: Mini Chart 2: Bar Chart Month Of Entry

This histogram displays the distribution of defensive asylum cases by the month of entry. Built with React and D3 v6, it uses `d3.histogram` to bin cases into monthly intervals, with `d3.scaleLinear` mapping the numeric month values to x- and y-axes. The SVG rendering includes custom axis components and purple bars, with tooltips showing the case count for each month. Data comes from a CSV file loaded via `d3.csv` from a GitHub gist.

78% match

Final Project: Mini Chart 1: Bar Chart Freq Wait Times

A histogram displays the distribution of wait times in days between an asylum case's OSC and completion dates, counting how many cases fall into each time bin. The chart uses a linear x-scale and y-scale to position bars, with green rectangles rendered as SVG marks. Built with React and D3 v6, it loads data from a CSV of DefensiveAsylumCases, bins values using `d3.histogram`, and computes frequencies with the `count` function. Axis components generate tick marks and labels, while a native SVG `<title>` element provides hover tooltips.

76% match

Vega-Lite API Template_Bars

This bar chart displays the population of countries in 2015, with bars sorted in descending order and colored by country. It is built using the Vega-Lite API, which programmatically defines the visualization specification, while D3.js loads the CSV data from a Gist. The chart is rendered as SVG via Vega and Vega-Lite, with tooltips enabled through vega-tooltip and a custom config to adjust axis and label styling for readability.

OOleg Zhernovoy

Vega-Lite Bar Chart

This bar chart visualizes population by country for 2015, using the Vega-Lite grammar to map countries to the x-axis and population to the y-axis. Built with the `vega-lite-api` and rendered via the `vega` and `vega-lite` libraries, it loads data from a CSV file using `d3.csv` and displays interactive tooltips via `vega-tooltip`'s Handler. The chart is styled with a custom config for improved readability.

Bbakstorage00001

Vega-Lite API Template

This example presents a horizontal bar chart of population by country, with bars colored by religion and tooltips displaying the religion attribute. It is built using the Vega-Lite API along with Vega, Vega-Lite, and D3’s CSV loader, rendering to SVG via Vega’s view system. The chart fetches data from a GitHub-hosted CSV file and configures axes and label styling through a shared configuration object.

Aazharahmad0

Vega-Lite API Template

This example renders an interactive bar chart of population by country for 2015, using data from a Gist CSV file. It visualizes the rank-ordered values with a dark theme and custom axis styling. The visualization is built with the Vega-Lite API, which composes specifications programmatically in JavaScript, integrated with Vega and Vega-Lite libraries. It also uses D3’s `csv` loader for data ingestion, and Vega Tooltip for hover interactions, with the chart fitted to the full viewport.

TTengHoo3