dv2020-ep22-viz22 - bar chart, axes

dv2020-ep21-viz20 - bar chart

A horizontal bar chart displays the 20 most populous countries in 2020, ranked in descending order by population. The visualization uses React to render SVG rectangles, with D3's `scaleBand` and `scaleLinear` mapping country names to y-coordinates and population values to bar widths. Data comes from the UN World Population Prospects 2019, loaded via D3's `csv` parser and sorted with `d3.descending`. The chart updates dynamically as React re-renders when the asynchronous data fetch completes.

94% match

dv2020-ep23-viz23 - bar chart, refactor

This bar chart displays the top 8 most populous countries in 2020, sorted in descending order, using data from the UN World Population Prospects 2019. The visualization refactors a previous episode into reusable React components, with the SVG rendered via React elements. It uses d3.scaleBand for the categorical y-axis, d3.scaleLinear for the numeric x-axis, and d3.csv for data loading. Axes and marks are extracted into separate modules, improving code organization and reusability across episodes.

dv2020-ep24-viz24 - bar chart, stylized

This bar chart displays the top 9 most populous countries in 2019, using horizontal bars sorted by population size. Styled with a bright yellow background and red tick labels, the chart highlights the distribution of populations across nations. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with data from the UN World Population Prospects 2019. SVG rendering includes custom axes and tooltips that format population values using D3’s `format` function.

dv.21 - basic bar chart

This example displays the top 20 most populous countries as horizontal bars, ranked by their 2020 population estimates from the United Nations World Population Prospects 2019 dataset. It renders an SVG bar chart using React for component structure and d3.scaleBand for the categorical y-axis, d3.scaleLinear for the numeric x-axis, and d3.csv for data loading. The chart intentionally has no axes or labels, using only rectangles whose widths encode population values.

dv2020-ep22-viz21 - bar chart, margin convention

A horizontal bar chart ranks the 20 most populous countries by 2020 population estimates from UN World Population Prospects 2019. D3’s `scaleBand` positions bars vertically, while `scaleLinear` maps population values to bar widths. The React component loads CSV data via `d3.csv`, sorts it descending, and renders an SVG with the classic margin convention, translating a group for axes-free inner dimensions.

dv.23 - refactored bar chart

This example shows the top 20 most populous countries as horizontal bars, with country names on the left axis and population values on the bottom axis. The React app loads CSV data from the UN World Population Prospects 2019, sorts by 2020 population, and renders SVG rectangles using d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis. Axis labels and tick marks are generated by custom React components that use d3 scale methods to position text and lines. The chart updates automatically when the data loads asynchronously via d3.csv.

90% match

Dataviz 6 - Bar chart with React and D3

A bar chart displays the top 10 most populous countries from the UN World Population Prospects 2019 dataset. The visualization shows horizontal bars whose lengths correspond to each country's 2020 population, rendered as SVG rectangles. React manages the component state, loading data via the `csv` function from D3 v5, while `scaleBand` and `scaleLinear` position the bars and map population values to widths. The chart intentionally omits axes, presenting only the ranked bars.

RRyAlpha

90% match