Project 1 - Nobel Prize Winners - Bar Chart

100%

Project 1 - Nobel Prize Winners - Bar Chart

✓ Published5🌍 Public

Last edited Oct 2, 2025

Created on Sep 24, 2025

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

VVinayak Revankar

93% match

Loading thumbnail…

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.

VVinayak Revankar

87% match

Loading thumbnail…

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

87% match

Loading thumbnail…

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.

VVinayak Revankar

84% match

Loading thumbnail…

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.

VVinayak Revankar

83% match

Loading thumbnail…

CSCS - Nobel Prize Winners - Bar Chart

This bar chart shows the total number of Nobel Prizes awarded in each category—Chemistry, Literature, Medicine, Peace, Physics, and Economics—based on historical laureate data from a CSV file. The visualization loads the dataset using `d3.csvParse` and renders the counts through an SVG bar chart built with D3 v7. Category counts are sorted descending and drawn as steelblue rectangles using `scaleBand` and `scaleLinear`, with axes generated by `axisBottom` and `axisLeft`. Hovering over a bar changes its fill to orange, and bars are labeled with rotated category names.

VVinayak Revankar

82% match

Loading thumbnail…

Project 1 — Bar Chart

A bar chart displays aggregated values by category, with interactive controls that let users choose the categorical and numeric columns to visualize. The chart loads data from a local CSV file using `d3.csv` with `d3.autoType` to infer column types, then builds a sorted bar layout. The D3 v7 code uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, grid lines via `d3.axisLeft`, and tooltips that follow the mouse. The bars are filled with a blue color, and axes are automatically labeled and rotated for readability.

SSYAM TEJ

79% match

Loading thumbnail…

Interactive Stacked Bar Chart for Nobel Prizes

The interactive stacked bar chart visualizes Nobel Prize counts by category across 10-year periods, using color coding to distinguish disciplines. Hovering a category in the color legend highlights its corresponding stack segments while fading others. Built with Vue and WebGL, it processes the Nobel dataset with `rollup` aggregation, `stack()` for stacking categories, and `scaleBand`/`scaleLinear` for axes. The `colorLegend` module manages interactive hover states, applying opacity and stroke effects via D3 selections.

VVinayak Revankar

79% match