Skip to main content
SimilarExport ZIP
100%

Research and development expenditure (% of GDP)

✓ Published0🌍 Public
Ppbruss@bu.edu
Last edited Aug 31, 2024
Created on Aug 31, 2024

This visualization displays research and development expenditure as a percentage of GDP for various countries and regions from 1996 to 2023. The example loads data from a CSV file and initially renders the first data row as formatted JSON, displaying country name and annual values in a monospaced pre element. The code uses a simple CSV import and JavaScript string interpolation to generate the HTML output. The data itself is taken from the provided dataset, which is sourced from v3 and authored by pbruss.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Expenditure over time plot

This plot shows United States expenditure as a percentage of GDP since 1800, with a red line charting the yearly values. The visualization uses D3.js v5, scaling the x-axis linearly for years and the y-axis linearly for expenditure percentages. It renders as SVG, with the line generated using `d3.line`, `curveBasis` for smoothing, and axes created via `axisBottom` and `axisLeft`. Data is loaded asynchronously from a CSV file using `d3.csv`.

MMukund Khandelwal
65% match
Loading thumbnail…

assignment 6

This interactive D3.js visualization explores relationships between GDP per capita, CO2 emissions per capita, population, and renewable energy adoption across countries from 2018–2023. Three modes—a 2D scatterplot, small multiples by region, and animated year-by-year transitions—allow comparison of temporal trends. The SVG rendering uses d3.scaleOrdinal, d3.scaleSqrt, and d3.extent for consistent scales, with tooltips featuring configurable delay and a race timer animation. Data comes from a CSV file loaded via d3.csv.

Rrithwikjadala2003@gmail.com
65% match
Loading thumbnail…

Expenditure over time plot

This visualization displays United States expenditure as a percentage of GDP over time, from 1800 onward, using a smooth blue line chart. The SVG rendering employs d3.csv to load data and d3.scaleLinear for both axes, with axisBottom and axisLeft generating gridlines. d3.line with curveBasis creates the smoothed path, while d3.extent sets the domains. The chart includes clearly labeled axes for Year and Expenditure, with data sourced from a CSV file hosted on VizHub.

MMukund Khandelwal
64% match
Loading thumbnail…

activity6 task 2

This visualization shows the distribution of GDP growth rates across six countries, with each country’s values broken into five rate categories using a stacked horizontal bar chart. The chart uses a linear x-axis for percentages and a banded y-axis for countries, with colored segments representing each growth-rate range. Built with D3 v7, it loads CSV data via `d3.csv`, applies `d3.stack` for stacking, and uses `d3.scaleOrdinal` for color mapping. Interactive tooltips display exact percentages on mouseover using D3 event handlers.

Ssiri2001j@gmail.com
63% match
Loading thumbnail…

Vehicle Fuel Type Count by Zip Code

This example displays the contents of the first row of a CSV dataset sourced from the World Development Indicators, showing research and development expenditure as a percentage of GDP. The code parses numeric fields using the unary plus operator and renders the data as a JSON object in a preformatted HTML element. It relies on the native JavaScript `JSON.stringify` method to format the output for inspection.

Ppbruss@bu.edu
63% match
Loading thumbnail…

World Income For Country With GDP: CSCE 5320

This interactive D3.js visualization explores world country income and energy data, comparing GDP per capita against purchasing power parity through a scatterplot of point marks. Users navigate five design stages that progressively add categorical region hues, quantitative population sizing, and intentionally broken then repaired chart configurations. The visualization uses SVG rendering with animated transitions, D3 scales for logarithmic and linear axes, and a color legend mapping regional categories. Data loads from a CSV file containing country-level income, population, and region attributes, with tooltips and summary statistics supporting the analysis.

Eeko.5samuel@gmail.com
62% match
Loading thumbnail…

Expenditure over time plot

This line chart shows United States government expenditure as a percentage of GDP from 1800 to 2011, based on IMF data. The y-axis measures expenditure percentage, while the x-axis displays the year. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scaleTime`, `axisBottom`, `axisLeft`, and a `line` generator with `curveBasis` smoothing. The red line path has a thick, semi-transparent stroke, and gridlines extend across the plot area. Data is loaded from a CSV file hosted on VizHub.

MMukund Khandelwal
62% match
Loading thumbnail…

2nd visualisation

This faceted scatter plot displays the relationship between GDP and renewable energy consumption, with each facet representing a different year. The data, sourced from a CSV file, is grouped by year to create individual small multiples. Each point is colored by country using a categorical color scale. The visualization is built with D3.js version 7, using `d3.csv` for data loading, `d3.group` for grouping, and `d3.scaleOrdinal` for color mapping. SVG-based axes and labels are generated for each facet, with GDP on the x-axis and renewable energy consumption on the y-axis.

Vvenkatabhaskaratetali@my.unt.edu
61% match