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jannchie/historical-ranking-data-visualization-based-on-d3.js

★ 4,658JavaScriptAudience · generalComplexity · 1/5Setup · easy

TLDR

Turn a CSV spreadsheet into an animated bar chart race video, bars grow, shrink, and swap positions as time moves forward. Open one HTML file in your browser, pick your data file, and the animation plays instantly. No coding or server needed.

Mindmap

mindmap
  root((Bar Chart Race))
    Data Input
      CSV file format
      Four columns
      Date format YYYY-MM-DD
    Visualization
      Animated bar race
      Bars swap positions
      Color by category
    Customization
      config.js file
      Animation speed
      Max bars shown
    Usage
      Open HTML in browser
      No build step
      File selector button
    Project Status
      Paused maintenance
      Successor anichart.js
      Bug reports via email
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Code map

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Things people build with this

USE CASE 1

Visualize how country GDP rankings shifted decade by decade using a CSV of historical economic data

USE CASE 2

Create a social-media-ready animated video showing brand popularity changes over time

USE CASE 3

Show students how sports team standings evolved across an entire season in one animation

USE CASE 4

Present sales ranking changes across product lines to stakeholders without any coding

Tech stack

JavaScriptD3.jsHTMLCSSCSV

Getting it running

Difficulty · easy Time to first run · 5min

Download the repo, open the HTML file in any modern browser, click the file picker, and select your CSV. No install, no server, no build step required.

No license information was mentioned in the explanation.

In plain English

This project turns historical ranking data into an animated bar chart race video. You provide a spreadsheet-style CSV file containing names, categories, values, and dates, and the tool generates a smooth animation showing how the rankings change over time. The kind of output it produces is the animated bar chart race format that became popular on social media, where bars grow, shrink, and swap positions as time progresses. The README is written in Chinese. The project is described as paused and no longer actively maintained. The author notes it has accumulated technical debt and is not easy to use, so they started a successor project called anichart.js. The original code still works and the author says bug reports sent to their email will be addressed. Usage is described as minimal: open a single HTML file in a browser, click a file selector button, choose your CSV data file, and the visualization appears immediately. No server or build step is required. The CSV format uses four columns: name, type, value, and date. The name appears as a label on the left of each bar. The type controls the bar color. The value controls bar length and must be a number. Dates should follow the YYYY-MM-DD format. A config.js file allows customization. Options mentioned across the changelog include bar colors, rounded bar corners, logo images, value suffixes, animation speed, the maximum number of bars shown at once, whether to color bars by name or category, logarithmic scale for data with large magnitude differences, and a reverse mode that puts the shortest bar at the top.

Copy-paste prompts

Prompt 1
I have a CSV with columns: name, type, value, date (YYYY-MM-DD). How do I format my data so this bar chart race tool reads it correctly? Give me 5 example rows for country population data.
Prompt 2
Using the config.js in jannchie/historical-ranking-data-visualization-based-on-d3.js, how do I change animation speed, cap the bars at 10, and color bars by name instead of category?
Prompt 3
My data has very large value differences (e.g. 1 million vs 1 billion). How do I enable logarithmic scale in this bar chart race project so smaller values are still visible?
Prompt 4
I want to add a logo image and a value suffix (like 'M' for millions) to my bar chart race animation. Which config.js options do I set and what values do I use?
Prompt 5
The README for this project is in Chinese and it's no longer maintained. What is the recommended successor library (anichart.js) and how does migrating my CSV data work?
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