Skip to main content
SimilarExport ZIP
100%

Fork of #Utrecht2024 TASK: First steps in Svelte

✓ Published0🌍 Public
SSarah C Gall
Last edited Jul 2, 2024
Created on Jul 1, 2024

A scatterplot shows countries positioned by GDP per capita and life expectancy, with circle size encoding population and color distinguishing continents. The Svelte app formats the data with `autoType` from d3, computes scales with `scaleLinear`, `scaleSqrt`, and `scaleOrdinal`, and renders SVG circles via a custom Datapoint component. Data comes from the Gapminder dataset, though the example uses 2007 values.

AI-generated description

Task

  • format the data: numbers should be numbers – not strings
  • filter and only use data of the year 2022
  • determine the min and max value of GDP and life expectancy

Original visualization

Interactive version

Data

Gapminder

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of #Utrecht2024 TASK: First steps in Svelte

This is a scatter plot that compares the GDP per capita and life expectancy of countries for the year 2007, with the size of each circle representing the country's population. The SVG is rendered using Svelte, with a `Datapoint.svelte` component drawing semi-transparent circles. The code uses D3's `scaleLinear`, `scaleSqrt`, and `scaleOrdinal` to map the data to positions, radii, and continent-based colors. The data originates from the Gapminder dataset, which is loaded from a CSV file.

Kk.hurskaya@gmail.com
95% match
Loading thumbnail…

Fork of #Utrecht2024 TASK: First steps in Sveltenew

This example shows a scatterplot of countries, with each country represented by a circle whose position is determined by GDP per capita on the x-axis and life expectancy on the y-axis, and whose size reflects population. The circles are colored by continent, and the data is sourced from Gapminder. The visualization maps data using `d3.scaleLinear` for the axes, `d3.scaleSqrt` for the radius, and `d3.scaleOrdinal` for the categorical color scale. It renders circles as SVG elements, with the entire plot dynamically generated in the Svelte component.

Kkatha.hofbauer@t-online.de
92% match
Loading thumbnail…

Sara Maria - Fork 2 of #Utrecht2024 TASK: First steps in Svelte

This scatterplot shows the relationship between GDP per capita and life expectancy across countries, with bubble size encoding population and color distinguishing continents. It renders each country as a circle positioned by linear x and y scales, while a square-root scale maps population to radius and an ordinal scale assigns continent colors. Built with Svelte and D3, the visualization imports CSV data, converts string values with `autoType`, and renders SVG circles through a reusable `Datapoint` component featuring radial gradient definitions.

Ssam.jumphouses@gmail.com
90% match
Loading thumbnail…

Fork of #Utrecht2024 TASK: First steps in Svelte

This example shows a gapminder-style bubble chart representing global health and economic data for 2007. The visualization maps GDP per capita on the x-axis and life expectancy on the y-axis, with circle size encoding population and colors distinguishing continents. Built with Svelte and d3.js, the code uses d3.scaleLinear, d3.scaleSqrt, and d3.scaleOrdinal to map data values to positions, radii, and fills. Each bubble is rendered as an SVG circle with reduced opacity, driven by data from the Gapminder dataset.

SSebastian Graeff
89% match
Loading thumbnail…

Steven #Utrecht2024 TASK: First steps in Svelte

This example creates an interactive bubble chart plotting life expectancy against GDP per capita, with bubble size encoding population and color distinguishing continents. It includes a tooltip that appears on hover, revealing the country name. The visualization is built with Svelte components using d3's `scaleLinear`, `scaleSqrt`, `scaleOrdinal`, and `schemeAccent` for scales, and a Voronoi overlay from `Delaunay` for efficient hover detection. Data is loaded from a CSV file and rendered as SVG circles.

SSteven Nijman
85% match
Loading thumbnail…

Fork of #Utrecht2024 TASK: Voronoi and Tooltips

This scatterplot from the Gapminder dataset shows life expectancy versus GDP per capita for countries in 2007, with circle size encoding population and color encoding continent. It uses Svelte and renders SVG via D3's `scaleLinear`, `scaleSqrt`, and `scaleOrdinal`. A Voronoi overlay, computed with `Delaunay.from` and `voronoi.renderCell`, captures mouse movement to trigger tooltips displaying country name and life expectancy.

Kk.hurskaya@gmail.com
85% match
Loading thumbnail…

Fork of #Utrecht2024 TASK: First steps in Svelte

This example demonstrates a minimal Svelte setup for processing Gapminder data. It displays the raw dataset as JSON text after converting data types with `d3.autoType`, ensuring that numeric fields like population and GDP are parsed as numbers rather than strings. The visualization uses Svelte's reactive bindings to track the container's dimensions, though the current view shows no chart or filtering. The code reads from a CSV file and outputs the structured data directly, serving as a foundation for building more complex bubble charts with the library.

Kk.hurskaya@gmail.com
85% match
Loading thumbnail…

Fork of #Utrecht2024 TASK: First steps in Svelte

This fork of #Utrecht2024 processes Gapminder CSV data, converting its strings to numbers with d3.autoType. The code uses `autoType` to parse the data before presenting it as raw JSON text. The example demonstrates the first steps of working with data in Svelte, where the loaded dataset includes GDP and life expectancy values. The visualization shows parsed data as a JSON output on screen, ready for a future Year 2022 filter and min/max analysis.

Kkatha.hofbauer@t-online.de
85% match