Yibo Zhang

@Yibo-Zhang·13 public vizzes

Stylized Line Chart

A stylized line chart depicts daily temperature variations over one week in San Francisco, with time on the x-axis and temperature on the y-axis. The smooth curve connects data points using d3.line with curveNatural, styled with a teal stroke and rounded caps. Built with React and D3 v5, the visualization uses d3.scaleTime and d3.scaleLinear for axes, while d3.csv loads data from the Data Canvas Sense Your City dataset. Axis components render SVG ticks and labels, and CSS styling with the Poppins font enhances the presentation.

Jan 21, 2022

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Stylized Bar Chart

This example displays the ten most populous countries as horizontal bars, with country names on the y-axis and population values on the x-axis, formatted in billions using d3.format. Built with React and D3 v5, the visualization uses scaleBand for the categorical y-axis and scaleLinear for the numeric x-axis, rendering SVG rectangles with native tooltip elements. The data comes from the United Nations World Population Prospects 2019 dataset, loaded asynchronously via d3.csv and filtered to the top ten entries. The chart features a clean Poppins font and muted teal and gray styling.

Jan 21, 2022

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Menus with React

This example demonstrates interactive dropdown menus built with React. It shows a pet selection interface where a user can choose from a list of animals, and the selected value is logged to the console. The implementation uses React’s `useState` hook to manage the selected value and a custom `Dropdown` component that renders an HTML `<select>` element. The `Dropdown` component maps over option objects and triggers a callback on change, while the app uses `ReactDOM.render` to mount the interface. The styling scales the label and select to a large font size for visibility.

Jan 14, 2022

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Stylized Scatter Plot

This example shows a scatter plot of the Iris Dataset, visualizing petal length against sepal width. Each circle represents a flower sample, with axis labels and tick marks provided by custom React components. The visualization is built with React and D3 v5, using `scaleLinear` for both axes and `csv` to load the data. SVG circles render the marks, and a native `<title>` element provides tooltips showing the tick-formatted values. The styling uses the Poppins font and a teal color for the marks.

Jan 13, 2022

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Refactored Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart using SVG. The chart is rendered with React and D3 v5, featuring axes created by the `AxisBottom` and `AxisLeft` components, which use `xScale.ticks()` and `yScale.domain()` respectively. The bars are drawn by the `Marks` component, which maps data to `rect` elements using `scaleBand` and `scaleLinear`. Data is loaded asynchronously from a UN World Population Prospects 2019 CSV file using D3’s `csv` function.

Jan 13, 2022

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Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for scales and rendering. The code explicitly builds x-axis ticks with `xScale.ticks()` and y-axis labels from the scale’s domain, drawing SVG lines and text elements. It loads data from the United Nations World Population Prospects 2019 via `d3.csv`, applies a linear scale for population and a band scale for countries, and renders the chart as SVG within a React component.

Jan 13, 2022

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Fork of Rendering data with React and D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, rendered as SVG rectangles. It loads UN population data from a CSV file using `d3.csv`, then maps the data to React state with `useState` and `useEffect`. The chart uses `d3.scaleBand` for the y-axis country categories and `d3.scaleLinear` for the x-axis population values, with each bar’s width and position computed from these scales. React renders the SVG elements, while D3 handles data parsing and scaling.

Jan 13, 2022

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Rendering data with React and D3

This example displays a full-color donut chart of CSS named colors, rendered as SVG paths. It uses React hooks (useState, useEffect) to asynchronously load the dataset from a CSV via d3.csv, then computes pie angles with d3.pie and draws arcs with d3.arc. Each slice is filled using the color’s hex value from the data.

Jan 13, 2022

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Rendering data with React

This example visualizes the 148 named CSS colors as horizontal stripes stacked into a block, with each stripe’s background color set directly from its RGB hex value. The visualization is built with React, which renders each color stripe as a styled `<div>` element, while D3’s `csv` method loads the color data from a GitHub gist. The app uses React’s `useState` and `useEffect` hooks to asynchronously fetch the data and display a "Loading..." message until it arrives.

Jan 13, 2022

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Fork of Vega-Lite API Template

This example visualizes automobile performance data, plotting engine displacement against horsepower as a dense scatterplot of semi-transparent points. The visualization uses the Vega-Lite API via `vega-lite-api` and `vl.markPoint`, with a custom dark-themed configuration that removes axis domains and enlarges typography. Data is loaded asynchronously from a CSV using D3’s `csv` function, while tooltips display each car’s name. Rendering is handled through Vega and Vega-Lite, with the chart sized to fit the full browser window.

Jan 9, 2022

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Loading and Parsing CSV data

This example demonstrates how to load and parse CSV data from a remote URL, displaying summary statistics about the dataset: file size in kilobytes, row count, and column count. The visualization uses the D3.js v7 library’s `d3.csv` method to fetch and parse the data asynchronously. It also shows an alternative commented-out approach using the Fetch API with `async`/`await` and `d3.csvParse`. The data comes from a GitHub Gist containing CSS named colors, and results are rendered as text in an HTML `<pre>` element.

Jan 7, 2022

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Mouse Follower

A yellow circle follows the mouse cursor across a blank SVG canvas. The visualization directly maps the cursor's client coordinates to the circle's center position, creating an immediate and direct interactive response. Built with React, the application uses the `useState` and `useCallback` hooks to manage and update the mouse position state, while the SVG `onMouseMove` event triggers the state changes. The circle is rendered as an SVG element with a fixed radius, and the code initializes the circle at the center of a 960 by 500 viewport.

Jan 7, 2022

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Smiley Face

A grid of randomized smiley faces appears, each rendered as a yellow circle with black outline, two eyes, and an arc-shaped mouth. The faces are generated using React components that compose SVG elements, with D3’s `arc` function calculating the mouth path. Random values for stroke width, eye offset, eye radius, and mouth dimensions create variation across the 18-face layout. The example demonstrates reusable React components and D3 integration for declarative SVG generation.

Jan 7, 2022