Skip to main content
SimilarExport ZIP
100%

International Cabinets - Females and Military

✓ Published1🌍 Public
RRudy Shayganfar
Last edited Sep 23, 2020
Created on Sep 16, 2020

This scatterplot visualizes the relationship between the ratio of female cabinet members and the ratio of cabinet members with military titles across countries and years. The chart displays an inverse relationship between the two variables. Built with the vega-lite-api and D3, it loads CSV data from WhoGov’s International Cabinets dataset, covering over 50,000 cabinet members from 177 countries between 1966 and 2016. Each point represents a country-year observation, with tooltips revealing country names on hover.

AI-generated description

A visualization constructed using the vega-lite-api.

The chart plots the ratio of female cabinet members against the ratio of male cabinet members. In general there appears to be an inverse relationship between the two.

Dataset WhoGov's International Cabinets dataset. The dataset contains information about more than 50,000 cabinet members from 177 countries, spanning July 1966 - July 2016. There is a separate entry for each cabinet member, from each country, for each year. Each entry contains information such as party affiliation, gender, age and military affiliation. Data is ported from the International Cabinets dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

International Cabinets - Females over Time

A scatterplot shows the ratio of female cabinet members per country over time, with each point representing a country-year. The data reveals an upward trend in female representation from 1966 to 2016. Built with the vega-lite-api, the visualization uses `markCircle` with red, semi-transparent points, encoding year on the x-axis and `n_female_ratio` on the y-axis. Data comes from the WhoGov International Cabinets dataset, loaded via D3's `csv` function, with custom axis styling from a config file.

RRudy Shayganfar
90% match
Loading thumbnail…

Female v. Military

The chart displays the relationship between the ratio of female and military cabinet members across countries, revealing an inverse association. It renders a scatter plot using React and D3 v5, with `scaleLinear` for both axes and SVG circles for data points. Hovering reveals country names via the `<title>` element, while axis components (`AxisBottom`, `AxisLeft`) handle tick rendering. Data comes from the WhoGov International Cabinets dataset, covering 2006–2016 averages.

RRudy Shayganfar
89% match
Loading thumbnail…

Female v. Military

The chart displays the relationship between the ratio of female and military cabinet members across countries, revealing an inverse association. It renders a scatter plot using React and D3 v5, with `scaleLinear` for both axes and SVG circles for data points. Hovering reveals country names via the `<title>` element, while axis components (`AxisBottom`, `AxisLeft`) handle tick rendering. Data comes from the WhoGov International Cabinets dataset, covering 2006–2016 averages.

RRudy Shayganfar
89% match
Loading thumbnail…

Female v. Military by Region

This scatter plot shows the relationship between the ratio of female cabinet members and military personnel across countries, colored by world region, with a legend that highlights each region on hover. The data is drawn from the International Cabinets dataset and displays averaged 11-year ratios from 2006 to 2016, excluding countries that experienced regime change. Built with React and D3 v5, the visualization uses `d3.scaleLinear` for axes, `d3.scaleOrdinal` for color encoding, and renders circles as SVG elements with tooltips.

RRudy Shayganfar
87% match
Loading thumbnail…

Female v. Military with Colors

This scatter plot shows the relationship between the female ratio and military ratio of governmental cabinet members across countries, with points colored by government system type. A color legend allows hovering to highlight specific government systems while fading others. The visualization uses React with D3.js v5 scales (scaleLinear, scaleOrdinal) for axes and color mapping, rendering SVG circles. Data comes from the WhoGov International Cabinets dataset, filtered to countries without regime change during the 2006-2016 study period.

RRudy Shayganfar
86% match
Loading thumbnail…

International Cabinets - Females and Rention Rate

This scatterplot explores the relationship between the female ratio of international cabinets and their retention rate, using the WhoGov dataset covering over 50,000 cabinet members from 177 countries. The plot encodes female ratio on the x-axis and retention rate on the y-axis, with each circle representing a country-year observation; the low opacity reveals overlapping points, and the lack of a clear trend suggests no strong correlation. Built with vega-lite-api, it uses `vl.markCircle` and `vl.encode` for visual encoding, with data loaded asynchronously via `d3.csv` from a GitHub gist. The visualization renders as an SVG, with axis styling customized through a config object.

RRudy Shayganfar
85% match
Loading thumbnail…

Female v. Military by Region, Outliers Removed

This scatter plot shows the relationship between the female ratio and military ratio in government cabinets across world regions, with each point representing a country. Hovering over a point reveals the country name via a native SVG `<title>` tooltip. The visualization uses React and D3 v5, employing `scaleLinear` for both axes, `scaleOrdinal` with a categorical color scheme for regions, and a custom `ColorLegend` with hover highlighting that fades non-hovered regions. Data comes from the WhoGov International Cabinets dataset, averaged over 2006–2016, with outliers Singapore and Myanmar removed to improve scale readability.

RRudy Shayganfar
84% match
Loading thumbnail…

Female v. Military by Region, Outliers Removed

This scatter plot shows the relationship between the female ratio and military ratio in government cabinets across world regions, with each point representing a country. Hovering over a point reveals the country name via a native SVG `<title>` tooltip. The visualization uses React and D3 v5, employing `scaleLinear` for both axes, `scaleOrdinal` with a categorical color scheme for regions, and a custom `ColorLegend` with hover highlighting that fades non-hovered regions. Data comes from the WhoGov International Cabinets dataset, averaged over 2006–2016, with outliers Singapore and Myanmar removed to improve scale readability.

RRudy Shayganfar
84% match