Skip to main content
SimilarExport ZIP
100%

SDV_project

✓ Published0🌍 Public
Nnunnajaynica@gmail.com
Last edited Apr 26, 2024
Created on Apr 24, 2024
Forked from Hello VizHub

This example displays two side-by-side bar charts comparing the top ten countries by Global Innovation Index (GII) and their corresponding 2023 population figures. The data is merged from CSV files by country name, sorted by GII in descending order, and filtered to the top ten entries. Using D3.js v6, the visualization renders bar charts in SVG, with axes, rotated x-axis labels, and tooltips showing exact values. The charts highlight the relationship between a country’s innovation ranking and its population size.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

new vitesh

Two side-by-side bar charts compare the ten countries with the highest Global Innovation Index (GII) scores. The left chart displays each country’s 2023 population, while the right chart shows its GII value, using the same country order for direct visual comparison. Built with D3 v6, the example fetches and merges two CSV datasets, then renders SVG bar charts with rotated x-axis labels. The code uses `d3.csv` for data loading, `d3.scaleBand` and `d3.scaleLinear` for scales, and `d3.axisBottom` plus `d3.axisLeft` for axes.

Vvikramkotlo9@gmail.com
84% match
Loading thumbnail…

Project_SDV_2

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart. The code sorts the CSV data by population and renders only the top ten countries, with custom axis tick formatting that converts values to billions. The chart demonstrates D3 axis customization, including rotated labels and removed domain lines.

PPadmajaKodati@my.unt.edu
82% match
Loading thumbnail…

csce5320finalfinalproject

This example presents two side-by-side bar charts ranking the top ten countries by GDP per capita and by gross primary education enrollment. The charts use D3.js version 6 to load CSV data from remote GitHub sources and render scalable vector graphics (SVG). Each bar chart uses `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis, with `d3.axisBottom` and `d3.axisLeft` for ticks. Interactive tooltips appear on bar mouseover, showing the country name and the corresponding metric value.

Ssriharshakondakindi@gmail.com
77% match
Loading thumbnail…

Project_SDV_33

A horizontal stacked bar chart ranks the top 10 most populous countries by total population, with each bar segmented by land area categories. A linked categorical color legend allows hovering to highlight and fade corresponding segments. The visualization uses D3.js APIs including `flatRollup`, `stack`, `scaleLinear`, and `scaleBand` for data aggregation and layout. The responsive design uses `observeResize`, while `colorLegend` functions handle interactive highlighting. Data comes from the `religionByCountryTop20.csv` file.

PPadmajaKodati@my.unt.edu
77% match
Loading thumbnail…

SDV Activity 7

This example shows the top 10 countries by population in 2020 using a pie chart rendered as SVG. It loads data from a GitHub gist CSV file and calculates the total population to proportionally size each slice. The visualization uses D3 v5 APIs including `d3.pie`, `d3.arc`, `d3.scaleOrdinal`, and `d3.format` to compute arcs, assign section colors, and format labels. A legend with colored rectangles and country names accompanies the chart.

BBamanGayathri
76% match
Loading thumbnail…

DV_ICE6

This visualization presents a horizontal bar chart of population data for the top ten countries from a CSV file, sourced from a Gist. The title indicates the data is segregated by country, with population values drawn from the 2018 column. The chart uses D3.js v5 to fetch and parse the data, scale the axes, and render the bars as SVG rectangles, while React manages the component state and rendering.

Rrajkumarboddapati2
76% match
Loading thumbnail…

data

This example shows a bar chart of population data for the top ten countries, with each bar’s width scaled to its population. The visualization uses D3 v5 to load CSV data, parse the population values, and render SVG rectangles. It relies on `d3.scaleLinear` for the x-axis scaling and `d3.csv` for data ingestion, with the SVG dimensions defined in the HTML. The bars are appended directly to the svg selection, though the y-axis positioning is incomplete.

Ggavriel-binshtok
76% match
Loading thumbnail…

DV TASK-8(Q1)

This bar chart ranks the top ten countries by population for the year 2020, using horizontal bars to compare values. The visualization is built with React and D3 v5, rendering SVG elements through reusable components for axes and marks. Data is loaded via `d3.csv` from a GitHub repository, with population values formatted using `d3.format` to abbreviate large numbers with "B" for billions. The chart includes a bottom axis with tick lines and a left categorical axis for country names.

Nnagabinduk2023@gmail.com
75% match