Nobel Prize Winners Dataset

assignment

This bar chart visualizes the number of Nobel Prizes awarded per category, using data parsed from a CSV file containing laureate information. The D3.js v7 code loads the data, counts prizes by category, and renders the results using `scaleBand` and `scaleLinear` for axes. Bars are colored steelblue and sorted in descending order by prize count. The SVG visualization includes rotated category labels on the x-axis, a title, and axis labels, with the underlying data rows also including year, prize share, and laureate details.

HHarshithaAru06

80% match

Week 7 - Nobel Prize Winners - Tree Visualization

This interactive tree visualization explores Nobel Prize winners by category and country of birth, using D3 v7 with animated expansion and collapse of branches. The hierarchy groups laureates by prize category, then country, with node size reflecting prize share. The visualization implements auto-expanding subtrees with smooth transitions between states, centered within a responsive SVG viewport. Data comes from a CSV file containing laureate details from 1901 onward, parsed using d3.csvParse. The code leverages d3.hierarchy, d3.tree, and d3.linkHorizontal for layout, with d3.extent for dynamic viewBox calculation.

78% match

Interactive - Project 1 - Nobel Prize Winners - Bar Chart

A bar chart displays the number of Nobel Prizes awarded per category, ranking categories from most to least frequent. The visualization loads data from a CSV file, parses it with d3.csvParse, and renders an SVG bar chart using d3.scaleBand, d3.scaleLinear, d3.axisBottom, and d3.axisLeft. Bars are styled steelblue with a hover effect that changes fill to orange. The chart includes rotated x-axis labels, axis titles, and a bold title, all built with D3 v7 and Vue.

Project 1 - Nobel Prize Winners - Bar Chart

This example displays the number of Nobel Prizes awarded in each category as a bar chart, with bars ordered from most to least frequent. It loads data from a CSV file via `fetch` and parses it using `d3.csvParse`, then renders the chart with `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft`. The bars are drawn as SVG rectangles with a hover effect, and the chart includes labeled axes and a title.

Fork of Project 1 - Phase 3 - Nobel Prize Winners - Line Chart

This example shows the number of Nobel Prizes awarded per decade, split into separate lines for each prize category. Using D3 v7 with SVG rendering, it loads data from a CSV file, aggregates the entries by decade and category, and draws a multi-series line chart with color-coded labels. The visualization uses `d3.rollups` for grouping, `d3.scaleLinear` for axes, and `d3.line` to generate the paths. The chart reads from a Vue-based project that fetches the CSV and clears the container before rendering.

Project 1 - Phase 2 - Nobel Prize Winners - Line Chart

This visualization displays the number of Nobel Prize winners per decade, broken down by category, using a multi-line chart. Each line represents a category, with the x-axis showing the decade and the y-axis showing the count of laureates. The chart uses d3.rollups to aggregate the data from a CSV file and renders the lines with d3.line, while d3.scaleOrdinal assigns colors to categories. The data is loaded via fetch and parsed with d3.csvParse.

Project 1 - Phase 2 - Nobel Prize Winners - Bar Chart

This interactive visualization presents Nobel Prize winners by category and birth country. A bar chart displays the total number of prizes per category, while a world map uses colored countries and proportional circles to show laureate distribution geographically. The code uses D3 v7 APIs including `scaleBand`, `scaleLinear`, `geoNaturalEarth1`, `geoPath`, and `scaleSqrt`. Data is loaded from a CSV file, with geographic boundaries from the world-atlas TopoJSON dataset. Both views are rendered as SVG, with a toggle between bar chart and map views.

76% match

Week 6 - Phase 3 - Nobel Prize Winners - Line Chart

This line chart visualizes Nobel Prize winners per decade, grouped by category (Chemistry, Literature, Medicine, Peace, Physics, and Economics). The data comes from a CSV file containing laureate details from 1901 onward. The visualization uses d3.rollups to aggregate counts by decade and category, then renders smooth lines with d3.line() and monotone X curve interpolation, along with interactive points that display tooltips on hover. A legend allows users to toggle category visibility by clicking, which transitions line and point opacity using transition.attr().