Pathetic Bar Chart

Pathetic Bar Chart

A horizontal bar chart displays the ten most populous countries for 2020, with bars extending from the left edge and country labels on the y-axis. The visualization loads UN population data from a CSV file using D3’s `csv` utility, then processes it with React’s `useEffect` and `useState` hooks. React renders the SVG shapes, while D3’s `scaleBand` positions the categorical y-axis and `scaleLinear` maps population values to bar widths, with `max` determining the domain extent.

TTroy Marchesseault

Pathetic Bar Chart

This bar chart displays the ten most populous countries in 2020 using UN population data. The visualization loads the CSV dataset with D3’s `csv` utility and renders horizontal bars through React components in SVG. D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population values to bar widths, while React’s `useState` and `useEffect` hooks manage data fetching and component state.

WWilliam Couturiaux

Pathetic Bar Chart

This example presents a bar chart of the ten most populous countries in 2020, sourced from a UN population dataset loaded via D3’s `csv` utility. The visualization uses React state to hold the parsed data, and D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, which map country names and population values to SVG rectangles. The chart renders within an SVG element, with each bar’s width proportional to its population, while the interface displays a loading message until the data arrives.

NNigel

Pathetic Bar Chart

This example visualizes the ten most populous countries in 2020 as a horizontal bar chart, using bars that stretch across the screen without axes or labels. The chart loads UN population data from a CSV file via `d3.csv`, then processes each row to extract the 2020 population as a number. React’s `useState` and `useEffect` hooks manage the asynchronous data loading and component state, while D3’s `scaleBand` and `scaleLinear` position the bars along the y-axis and scale their widths. The bars are rendered as SVG `<rect>` elements using React’s declarative JSX syntax.

Jjanneprice

Pathetic Bar Chart

This bar chart visualizes the top 10 most populous countries in 2020 using data from the UN Population 2019 dataset. A horizontal bar encodes each country’s population with a rectangle, positioned along a band scale and scaled by a linear scale from D3. The React app loads the CSV via `d3.csv`, stores it in state with `useState`, and renders the SVG bars through React’s DOM. Once loaded, the chart appears, replacing an initial “Loading…” text.

AAnthonyAl-Rifai

Pathetic Bar Chart

This example displays the ten most populous countries as a set of horizontal bars, with no axes, scales, or labels to orient the viewer. Each bar’s length corresponds to the country’s 2020 population, and the bars are stacked vertically in descending order of population. The visualization is rendered as an SVG using React and D3 v5, leveraging `scaleBand` for the y-axis positioning and `scaleLinear` for the x-axis scaling. The data is loaded from the United Nations World Population Prospects 2019 CSV file via `d3.csv`.

GGenpinZ

Pathetic Bar Chart

This example demonstrates a basic bar chart that displays the top-ten most populous countries using 2020 population data from a UN dataset. The React application asynchronously loads CSV data via the d3.csv utility and renders the visualization as SVG rectangles. The chart assigns each country’s name to a y-axis position using d3.scaleBand and maps the logged population count to bar widths via d3.scaleLinear. While the visualization loads, the program shows a "Loading..." message, and the bars lack axes, labels, or other annotation.

Bbakstorage00001

Pathetic Bar Chart

This example uses React and D3 v5 to render a bar chart of the ten most populous countries in 2020, based on UN population data loaded via `d3.csv`. The `scaleBand` and `scaleLinear` D3 scales map country names to vertical positions and population to horizontal bar widths, while React components generate the SVG `<rect>` elements. The visualization updates from a loading state to the final chart once the asynchronous data fetch completes.

Mmscoop16