Dataviz 2020_Ep22 - 16. Axes (with React and D3) (BarChart Vertical Ver.)

Dataviz 2020_Ep21 - 14. Bar Chart (with React and D3) (Vertical Ver.)

This example displays a vertical bar chart of the top ten countries by 2020 population, using the UN Population dataset loaded via D3’s `csv` utility. React manages the component state and renders SVG `rect` elements, while D3’s `scaleBand` and `scaleLinear` compute the bar positions and heights. The chart resizes to the full browser window, and bars extend upward from the bottom edge with the y-axis inverted to match the data scale. D3 v6 and React 17 are loaded from CDNs, and the visualization updates after an asynchronous data fetch.

94% match

Dataviz 2020_Ep21 - 14. Bar Chart (with React and D3)

This example displays a horizontal bar chart of the top ten countries by 2020 population, using the UN World Population 2019 dataset. It loads the CSV via `d3.csv`, then triggers React re-renders with `useState` and `useEffect`. The chart maps country names to a `scaleBand` y-axis and population values to a `scaleLinear` x-axis, rendering each bar as an SVG `rect` with React. D3 utilities handle data loading and scaling, while React manages the component lifecycle and DOM updates.

94% match

Dataviz 2020_Ep22 - 16. Axes with React and D3

This example shows a horizontal bar chart of United Nations World Population 2019 data, loading the first ten countries from a CSV file and rendering them as SVG rectangles. The chart demonstrates how to construct axes manually without D3 axis components, using `scaleLinear` and `scaleBand` to position elements. React manages the component state and rendering lifecycle, while D3 utilities handle data loading via `csv()` and scale creation through `max()`, `scaleLinear`, and `scaleBand`. For the x-axis ticks, the code calls `xScale.ticks()` to generate tick values and maps them to vertical grid lines, with the chart rendered inside an SVG `<g>` element using React's JSX syntax.

92% match

Dataviz 2020_Ep23 - 17. Refactoring (BarChart Vertical Ver.)

This example presents a vertical bar chart of the top 10 countries by population for 2020, sourced from a UN Population CSV file. The visualization shows each country's population as a bar with rotated, angled labels on the x-axis. Built with React and D3 version 6, the chart separates axes and bar marks into individual components, using `d3.csv` for data loading, `d3.scaleBand` and `d3.scaleLinear` for scaling, and rendering as SVG elements. The layout adapts to the browser window’s dimensions.

92% match

Ep. 22 | Axes with React & D3

This example shows a horizontal bar chart of the top ten countries by 2020 population, with axes drawn manually using React components and D3 scale functions. The chart loads United Nations World Population Prospects 2019 data via `d3.csv`, then uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Ticks for both axes are rendered as SVG elements, with x-axis tick marks generated by calling `xScale.ticks()`, while bars are positioned and sized through the same scales.

YYee Han

Axes With React & D3

This bar chart displays the top 10 countries by 2020 population, with horizontal bars ranked vertically. The visualization uses React for component structure and state management, while D3’s `csv` loads and parses the UN population data, and `scaleLinear` and `scaleBand` map values to pixel positions. SVG elements—including `rect` bars and axis ticks—are rendered directly by React, with D3’s `max` and `ticks` methods driving the axis generation. The chart adapts to the browser window size and includes labeled axes.

BbeauMarko

Axes with React and D3

This example visualizes the top 10 countries by 2020 population as horizontal bars, displaying the data as text labels and bars using React components and D3 scales. The code builds SVG elements from scratch, using `scaleBand` for the y-axis country labels and `scaleLinear` for the x-axis population values, with axis ticks rendered manually. It loads UN population data from a CSV file via `d3.csv` and uses React hooks like `useState` and `useEffect` to fetch and render the data, with the final chart presented as an interactive SVG graphic.

Fforcox43

Datavis 2020 Episode 21 - Making a Bar Chart with React & D3

This example shows a horizontal bar chart of the top ten countries by 2020 population, loaded from an external CSV of UN Population data. The React component uses `useState` and `useEffect` to fetch and parse the data with `d3.csv`, then renders SVG `<rect>` elements. Scales are created with `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the quantitative population axis, with bar widths proportional to population values. Rendering is handled entirely through React JSX, while D3 v5 provides the data loading and scaling functions.

RRichard Burd