Taiwanese Internatiobal Trade

100%

Taiwanese Internatiobal Trade

✓ Published0🌍 Public

Last edited Nov 30, 2020

Created on Nov 30, 2020

A bar chart displays Taiwan's total trade values for various countries across years, with a horizontal timeline above it. Users hover over circles representing years from 2001 to 2019 to update the chart, triggering a smooth transition as the bars and axes animate to reflect the selected year's data. The visualization uses D3.js v4 with SVG rendering, employing scales, axes, and transition methods such as `transition().duration()` to animate changes. The code loads CSV data from a GitHub raw URL and renders in React, though the primary implementation is in plain JavaScript.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Project

This interactive dashboard visualizes Taiwanese outbound traveler flows by country and month, using animated bar charts to show passenger volumes for specific airports or seaports. Users filter by year, transport mode (airplane or ship), and individual countries across continents, with a month slider and sorting options for distance or quantity. Built with React and D3.js, the project renders SVG bar charts that update dynamically, pulling data from a CSV file containing annual and monthly travel statistics for destinations across Asia, the Americas, Europe, and Oceania. The interface also provides a slider to scrub through months and a dropdown to sort results, enabling comparative analysis of travel patterns over time.

TTimmyLu

76% match

Loading thumbnail…

Interactive Graph

This interactive graph visualizes changes in U.S. import and export values across six commodity categories over multiple time periods. Users can switch between different data snapshots and toggle between imports and exports, with animated bar transitions updating the display. The visualization uses D3.js (v7) with SVG rendering, leveraging scales, axes, and transition methods to create smooth updates. The bar chart encodes values on a linear scale, and the code includes predefined datasets for each period.

CChuyang Xiao

71% match

Loading thumbnail…

Final project

This visualization compares population growth between Taiwan and the United States from 99 to 110 years, displaying animated bar charts that rank regions by population. The bars update dynamically each year, with the current year displayed prominently and tooltips showing exact population values on hover. The animation uses `d3.interval` to cycle through yearly data, while `d3.scaleLinear` and `d3.axisTop` handle the chart scaling and axes. The visualization also includes a separate line chart plotting population rates for Taiwan, rendered with `d3.line` and interactive circles for each data point.

Cchristina030

71% match

Loading thumbnail…

Imports with Menus

This interactive scatterplot visualizes worldwide export data from 2000 to 2016, comparing trade values between China, the United States, and other nations. Users select which two variables to plot on the x- and y-axes via dropdown menus, with each point colored by commodity type. The visualization uses d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.scaleOrdinal, with animated transitions for the circles. Data originates from the World Trade Organization’s network of merchandise trade statistics. SVG rendering and dropDownMenu and colorLegend custom modules handle the interface.

Vveagy

71% match

Loading thumbnail…

Imports with Menus

This interactive scatter plot visualizes worldwide export data from 2000 to 2016, sourced from the World Trade Organization, comparing trade values between various countries. Two dropdown menus let users select which countries to plot on the x- and y-axes, while a color-coded legend filters the data by product indicator. Built with D3 v5, the visualization uses `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes, with circles animated via `transition().duration()`. A `scaleOrdinal` with `schemeCategory10` maps indicators to colors, and click events on the legend toggle data highlighting.

Vveagy

70% match

Loading thumbnail…

Imports with Menus

This interactive scatter plot displays worldwide export values to major trading partners between 2000 and 2016, using data from the World Trade Organization. Two dropdown menus let viewers select which countries to compare on the x- and y-axes, while a color legend allows filtering by commodity category. Circles animate into position with a staggered transition delay. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal with schemeCategory10 for coloring, and custom d3 modules for the dropdown menu, color legend, and scatter plot rendering in SVG.

Vveagy

69% match

Loading thumbnail…

Zoomable Treemap Bar Chart

This visualization shows U.S. import and export trade balances by country and year, displayed as grouped treemap bar charts with inflation adjustment. Clicking a country zooms that country to the full height of the year’s bar, while other countries’ bars compress. The D3 code uses `d3.hierarchy`, `d3.scaleBand`, and `d3.scaleLinear` to lay out the data, with transitions animating the zoom effect. Data comes from the U.S. Census Bureau, with a checkbox to toggle between raw and inflation-adjusted values.

KKuerzibe

69% match

Loading thumbnail…

Making a Bar Chart

This bar chart visualizes the top 10 countries by total merchandise exports in 2017, sourced from the World Trade Organization. It shows a horizontal bar layout where longer bars represent higher export values, led by China. The visualization is rendered using D3 v5, with index.js leveraging D3 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the SVG chart. The data is loaded from a CSV file, with export values multiplied by 1000, and bars are styled with a steelblue fill.

Vveagy

69% match