Skip to main content
SimilarExport ZIP
100%

Fork of Making a Bar Chart

✓ Published1🌍 Public
Gg_beck@coloradocollege.edu
Last edited May 8, 2024
Created on May 7, 2024
Forked from Making a Bar Chart

A slider-driven bar chart displays the number of Tour de France wins by country for a selected year, with data from a GitHub-hosted CSV. The visualization updates in response to slider input, re-rendering the chart with a new year’s dataset via D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. SVG rectangles represent each country’s win count, styled with steelblue fill, while the slider’s `change` event triggers a redraw using the stored global data.

AI-generated description

this is a bar chart of each countries tour de frances winners in 2023

MIT Licensed

Similar vizzes

Loading thumbnail…

interactive Bar Chart

This interactive bar chart illustrates the cumulative number of Tour de France wins per country from 1903 to 2023. A slider allows viewers to select a specific year, dynamically updating the horizontal bars to reflect the total wins for each nation up to that point, with years when the race was not held clearly annotated. The visualization uses the D3.js v6 library, leveraging `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` for chart construction. Bar transitions are animated via the `.transition()` method, and the data originates from a CSV file containing country-wise win totals per year.

Gg_beck@coloradocollege.edu
87% match
Loading thumbnail…

Map and Interactive Bar Chart

This interactive visualization explores the dominance of different nations in the Tour de France across time. A choropleth map and bar chart update synchronously as users drag a slider from 1903 to 2023, revealing cumulative wins per country. The map uses `d3.geoPath` with a `d3.geoEqualEarth` projection, while bars employ `d3.scaleBand` and `d3.scaleOrdinal`. Hovering highlights matching countries and bars, with a tooltip showing year, country, and win count. Data comes from CSV and GeoJSON sources. Non-held years display a notation.

Gg_beck@coloradocollege.edu
83% match
Loading thumbnail…

Fork of Making a Bar Chart22

This bar chart displays population figures for ten countries from a CSV file, using horizontal bars sorted by country name. The visualization is built with D3 v5 and rendered as SVG, employing `scaleLinear` for the population axis and `scaleBand` for categorical spacing. The code loads data via `d3.csv`, transforms population values to numbers, and draws axes with `axisLeft` and `axisBottom`. Bars are appended as rectangles with widths proportional to population, styled with steelblue fills and a custom margin layout.

Ggaowxx@qq.com
77% match
Loading thumbnail…

Fork of Making a Bar Chart22

This bar chart displays population figures for ten countries from a CSV file, using horizontal bars sorted by country name. The visualization is built with D3 v5 and rendered as SVG, employing `scaleLinear` for the population axis and `scaleBand` for categorical spacing. The code loads data via `d3.csv`, transforms population values to numbers, and draws axes with `axisLeft` and `axisBottom`. Bars are appended as rectangles with widths proportional to population, styled with steelblue fills and a custom margin layout.

Ggaowxx@qq.com
77% match
Loading thumbnail…

Fork of Making a Bar Chart

This example shows a horizontal bar chart of population figures for ten countries, with each bar’s length proportional to its value and country names on the y-axis. The chart uses D3 v5’s `csv`, `scaleLinear`, and `scaleBand` to map the data, along with `axisLeft` and `axisBottom` for labeled scales. Bars are rendered as SVG `rect` elements, colored steelblue via CSS, with margins set around a 960×500 viewport. The data comes from a CSV file listing country and population in thousands.

Ggaowxx@qq.com
77% match
Loading thumbnail…

Fork of barGraph

This fork of a bar chart visualizes population data from a CSV file, displaying each country as a circle on an SVG canvas. The chart uses D3 v5, loading data via the `csv` function and manipulating SVG elements through the `select` API. Hovering over a circle turns it black, as defined in the CSS. The visualization presents the dataset without additional encoding, showing raw data points for each country.

MMathieuZenone
76% match
Loading thumbnail…

Fork of Making A Bar Chart

This example shows a minimal bar chart of country populations, with the data loaded from a CSV file and rendered as SVG rectangles styled in steelblue. The visualization is built using D3 v7, where the code selects the SVG element, extracts its width and height attributes, and uses the `csv` function to load the data. The chart currently only logs the loaded data to the console; the bars themselves are not yet drawn, as the script stops after the data is fetched. The page includes an ES6 module example in `myMessage.js`.

FFahad Bin Emran
76% match
Loading thumbnail…

Fork of Making a bar chart

This bar chart displays the population of ten countries in 2018, using a horizontal layout where bar length encodes population value. The chart is rendered as an SVG using D3 v7, with a linear scale for the x-axis and a band scale for the y-axis. It employs the `csv` function to load data from `data.csv`, `scaleLinear` and `scaleBand` for scales, and `axisLeft` and `axisBottom` for axes. Bars are styled with steelblue via CSS.

KKaleb LaBarrie
76% match