Dataviz 2020_Ep22 - 15. The Margin Convention (with React and D3) (BarChart Vertical Ver.)

Dataviz 2020_Ep22 - 15. The Margin Convention

A horizontal bar chart displays the top 10 countries by 2020 population from the UN World Population 2019 dataset. React manages the component state and renders the SVG, while D3 utilities load the CSV data with `csv`, and compute scales using `scaleBand` and `scaleLinear`. The chart applies a fixed margin convention, translating the inner group by 20 pixels on each side, and uses `max` to set the x-axis domain.

95% match

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.

91% match

Ep. 22 | The Margin Convention

This example demonstrates a bar chart ranking the ten most populous countries in 2020, using data from the United Nations World Population Prospects 2019. The visualization renders as SVG rectangles, where each bar’s length encodes population via `d3.scaleLinear` and its vertical position uses `d3.scaleBand`. React manages the component state and lifecycle, while D3’s `csv` loader fetches and parses the dataset. The chart applies the margin convention by translating a group element to offset the plotting area, with margins defined as a fixed object.

YYee Han

91% 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.

The Margin Convention - Bar Charts

This example demonstrates the margin convention for bar charts by rendering the top 10 most populous countries in 2020 using React and D3. It loads CSV data from the UN Population dataset via `d3.csv`, then uses `scaleBand` and `scaleLinear` to map countries and population values to SVG rectangles within a translated group element. The visualization appears as a horizontal bar chart with axes implied by the scales, while the margin object defines the inner plotting area. React hooks manage asynchronous data loading and state updates.

CChris Briggs

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

A vertical bar chart displays the top ten countries by 2020 population, sourced from a UN_Population_2019 CSV file. The React component uses `useState` and `useEffect` to load data via D3’s `csv`, then renders SVG rects for bars. Axes are drawn manually with D3 scales (`scaleBand`, `scaleLinear`) and tick marks, including rotated country labels. The visualization updates the chart to fit the window dimensions, with bars positioned using `xScale` and `yScale` and heights derived from population values.

Visualizing Data with React and D3 - Bar Chart Margin Convention

This example demonstrates a horizontal bar chart that displays the top 10 countries by population in 2020, sourced from a UN Population CSV file. The visualization uses React to manage state and render SVG elements, while D3’s `scaleBand` and `scaleLinear` handle the categorical and quantitative scales. The chart applies the margin convention by translating a `<g>` element based on defined margins, ensuring proper spacing around the plotting area. Data is loaded asynchronously using D3’s `csv` function and rendered dynamically once fetched.

Ddmagarian

15. The Margin Convention

A bar chart displays the ten most populous countries in 2020 using UN population data loaded via `d3.csv`. React renders SVG rectangles scaled by `d3.scaleLinear` for population values and `d3.scaleBand` for country categories. The chart applies the margin convention by translating a `<g>` element with calculated inner dimensions, while the `useEffect` hook asynchronously fetches and parses the dataset.

PPrashish Paudel