Metis Stacked Bar Chart - Refugees 2015

100%

Metis Stacked Bar Chart - Refugees 2015

✓ Published0🌍 Public

Last edited Jul 4, 2017

Created on Jul 4, 2017

This stacked bar chart visualizes refugee asylum data from 2015, showing the total number of individuals granted affirmative asylum broken down by age group and their relationship to the principal applicant. The chart uses a vertical stacking of colored segments for each age category, with a legend identifying the relationship types. Built with D3 v4, the visualization employs `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.stack` to generate the stacked series from the CSV data. An ordinal color scale maps each relationship category to a distinct color, and the chart includes axes with labels and a legend, all rendered as SVG elements.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

Refugees Streamgraph

This streamgraph visualizes the total number of persons of concern to UNHCR, grouped by country of origin, using a flowing, layered area chart. The data spans multiple years and is filtered to exclude countries with relatively low counts. Rendered in SVG with D3 v4, the chart uses a wiggle offset to create the signature streamgraph silhouette, with each country’s contribution represented as a colored layer. Labels are positioned using d3-area-label, and hovering highlights individual streams by turning them black. The visualization relies on interpolated yearly values and a custom stack layout to show change over time for over 1 million persons of concern per country.

PPatrick Wojda

75% match

Loading thumbnail…

Refugees Streamgraph

A streamgraph visualizes the total number of persons of concern to UNHCR from 1951 to 2016, grouped by country of asylum or residence and excluding countries with low cumulative counts. The chart uses a wiggle offset and inside-out ordering via `d3.stack` to create the layered flows, with area shapes rendered as SVG paths using `d3.area` and a basis curve. Hovering highlights a country by turning its path black. Data originates from UNHCR’s time series CSV and is preprocessed with `d3.nest`.

CCurran Kelleher

75% match

Loading thumbnail…

Refugees Streamgraph

This visualization shows the total number of persons of concern grouped by country of origin from 1951 to 2016, using a streamgraph with a wiggle offset. It labels selected regions with `d3-area-label` and includes interactive highlighting on hover. The data is sourced from UNHCR Population Statistics and preprocessed into a JSON file. The visualization is built with D3 v4, using `d3.stack`, `d3.area`, and `d3.scaleTime` for rendering as SVG.

CCurran Kelleher

74% match

Loading thumbnail…

let's make a bar chart.js

This bar chart displays the annual number of asylum seekers arriving in Australia, broken down by country of origin from 1976 to 1995. The chart uses a horizontal bar layout where each bar’s length represents the refugee count for a specific origin in a given year. Built with React and D3 v5, the visualization relies on `d3.csv` to parse the data, `scaleLinear` for the x-axis value mapping, and `scaleBand` for the y-axis categorical placement. All rectangles are rendered as SVG elements within a 960×500 viewport, with bar heights determined by the bandwidth of the band scale.

Aankita1mit

73% match

Loading thumbnail…

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.

GGeri D.

72% match

Loading thumbnail…

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.

GGeri D.

72% match

Loading thumbnail…

Metis Simple Stacked Bar Chart with Labels

This example displays 2017 U.S. unemployment rates as a simple horizontal bar chart, with states sorted descending by rate and each bar labeled with its numeric value using SVG text. D3 v4 selects elements, binds CSV data, and uses `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. The code also demonstrates grouping with `d3.nest()` and computes average rates per region and subregion using `rollup()`. The chart is rendered as an SVG element within a 960x500 canvas.

EElaineYu

71% match

Loading thumbnail…

Persons of Concern StreamGraph by Origin

A streamgraph displays the total number of persons of concern (refugees, asylum-seekers, internally displaced persons, and others) over time, grouped by country of origin, with labels placed inside each area using the `d3-area-label` library. The visualization uses D3.js v4 with an SVG rendering, applying `d3.stack` with a wiggle offset and inside-out ordering to create the stacked areas. Data comes from UNHCR Population Statistics and is interpolated across years. The chart includes hover effects that darken each area and uses `d3.scaleTime` and `d3.scaleLinear` for axes.

Ttoeric

70% match