Skip to main content
100%

datos para la carrera de barras

✓ Published0🌍 Public
Aaaizemberg
Last edited Aug 17, 2019
Created on Aug 17, 2019

A racing bar chart animates 20 years of pharmaceutical sponsor data from a TSV file, ranking companies by their yearly values. The visualization uses D3.js with `d3.csv` for parsing and `transition.attrTween` to smoothly interpolate bar heights, while logos from the `picture` column render as images. The chart updates each year, reordering bars based on the current values, and highlights group membership via color.

AI-generated description

Similar vizzes

Loading thumbnail…

carrera de barras

This visualization, titled "carrera de barras," shows a racing bar chart animation. The page embeds a Flourish visualization via the `flourish-embed` script and a `data-src` attribute pointing to a public Flourish visualisation. The code uses the Flourish public API to load and render the animated bar race, with the chart updating over time to compare categorical values. The data source is specified within the Flourish visualisation itself, not in the local HTML.

Aaaizemberg
77% match
Loading thumbnail…

bar chart races

An animated bar chart race visualizes the rising and falling brand values of the top global companies over an 18-year period. Using SVG and animation, the visualization ranks the twelve most valuable brands each year, displaying their changing positions and values. The code employs D3 v5's scale, axis, selection, and interval APIs for data handling, layout, and smooth transitions, with data sourced from a CSV file of Interbrand rankings. Color-coded bars and labels depict each brand's trajectory dynamically.

AAjayyy
72% match
Loading thumbnail…

Bar Chart Race

This animated bar chart race visualizes the changing values of top global brands from 2000 onward, ranking the top 10 by brand value in millions of dollars. The visualization uses D3 v5's data join and transition system with `d3.transition()` and `updateBars` to smoothly interpolate bar positions and heights between yearly keyframes. Each bar is color-coded by brand category (e.g., Technology, Automotive) using `d3.scaleOrdinal` with the Tableau10 scheme. The data comes from Interbrand's annual rankings, loaded via `d3.csv` and processed with `d3.rollup` and `d3.pairs` to create interpolated frames.

Aanjalipandith-star
71% match
Loading thumbnail…

Untitled Document

This example visualizes the distribution of drug categories and scores from a CSV dataset as an animated, interactive bar chart. Using D3 v4 with SVG rendering, the chart displays grouped bars for each drug category, with the bars transitioning smoothly when toggling between views. The data, loaded from drug1.csv, maps the s_category values on the x-axis and drug_cat values on the y-axis, with the animation providing a dynamic comparison of the categories. The visualization is built with D3.js and rendered as scalable vector graphics, allowing for crisp, responsive bars that update with user interaction.

GGerardoFurtado
70% match
Loading thumbnail…

Bar Chart Race

This bar chart race animates the changing rankings of the world's most valuable brands from 2000 onward, using data from Interbrand. The visualization presents a dynamic competition where bars representing top brands, such as Coca-Cola and Microsoft, shift positions over time. Built with React and D3 v6, it uses SVG and animation to smoothly interpolate the values and ranks between yearly data points, creating a fluid, time-lapse effect. The code relies on D3's `scaleLinear`, `scaleBand`, `transition`, and `easeLinear` to orchestrate the movement, while a custom linear interpolation between keyframes and sorting logic drive the visual ranking updates.

Ppangaotata
69% match
Loading thumbnail…

Customizing Axes

A bar chart race animates the yearly brand values of the world’s most valuable companies, as listed in the data.csv file. The visualization uses D3 v5 with SVG and transitions to dynamically rescale the x-axis to fit the top-ranked value. It customizes axes by styling tick text and lines via CSS, and employs `d3.create`, `svg.transition`, and `d3.easeLinear` to orchestrate the sequential updates.

LLuciano McSilva
68% match
Loading thumbnail…

Untitled Document

This animated bar chart visualizes the distribution of drug categories across survey responses. The visualization loads a CSV dataset containing two columns—s_category and drug_cat—and renders a grouped bar chart using D3 v4 with SVG. The chart animates between two states, likely comparing the frequency of drug categories by s_category groups. The bars are color-coded and transition smoothly to reflect the data, with axes and labels supporting readability. The animation highlights changes in the dataset, making it easy to compare category distributions dynamically.

GGerardoFurtado
68% match
Loading thumbnail…

Racing Bar Chart Animation Test

A racing bar chart animation demonstrates changing quantitative values over time. Six named categories (alpha through foxtrot) increment their values by ten at random intervals, with each update triggering a smooth 750-millisecond transition of bar widths and labels using D3’s `select`, `scaleBand`, `scaleLinear`, and the `.join()` operation. Bars and text labels are rendered as SVG elements within a React component, driven by a custom `useInterval` hook that calls `setInterval` to update state. The chart uses D3 v5 and React, with data initially hardcoded in the app’s state.

Wwinner106
68% match