Fork of Pathetic Bar Chart

Fork of Pathetic Bar Chart

This bar chart displays the top 10 most populous countries based on United Nations World Population Prospects 2019 data. It renders horizontal bars using SVG `<rect>` elements, scaled with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. React manages the component state, fetching the CSV via `d3.csv` and updating the visualization after loading. The chart intentionally lacks axes or labels, emphasizing raw bar lengths. The `useState`, `useEffect`, and `useCallback` hooks coordinate asynchronous data loading and rendering within a React app.

Mmisstong

Fork of Pathetic Bar Chart

This visualization displays the top 10 most populous countries as a simple bar chart with no axes or labels. The bars are rendered as SVG rectangles using React, with heights determined by a d3.scaleBand and widths by a d3.scaleLinear. Data comes from the United Nations World Population Prospects 2019 dataset, loaded via d3.csv. The code uses React hooks like useEffect and useState to fetch and store the data, then maps each country to a colored rectangle in the SVG.

Aamiteshwarr

Fork of Pathetic Bar Chart

This visualization displays the top 10 most populous countries as a series of horizontal bars with no axes, using data from the United Nations World Population Prospects 2019. Each rectangle’s width encodes the country’s 2020 population via `d3.scaleLinear`, while its vertical position relies on `d3.scaleBand`. The React component loads the CSV with `d3.csv`, slices the first ten rows, and renders SVG rectangles. The chart intentionally omits labels and scales, presenting a minimal, decontextualized view of population ranking.

FfaridTalmat

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bare bar chart with no axes or labels, rendered as SVG rectangles. The React component fetches United Nations World Population Prospects 2019 data via d3.csv, then uses d3.scaleBand for the y-axis positioning and d3.scaleLinear with d3.max to map population values to bar widths. The visualization relies on React hooks—useState and useEffect—to load and slice the data, while d3.v5 and React 16.9 render the chart through ReactDOM.

JJean David

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars without axes, using the United Nations World Population Prospects 2019 dataset. The visualization loads CSV data with `d3.csv`, filters it to the first ten rows, and renders the bars as SVG `<rect>` elements. It employs `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population values. The app is built with React, managing loading state via hooks `useState` and `useEffect`.

KKuladeep

Fork of Pathetic Bar Chart

This visualization displays the top 10 most populous countries in 2020 as a bare bar chart with no axes, labels, or other decorative elements. It uses React hooks to fetch and sort the UN World Population Prospects 2019 dataset, then renders SVG rectangles with d3 v5’s `scaleBand` and `scaleLinear` for positioning. The chart updates only once data loads, with bars drawn directly from the CSV’s `2020` population column.

RRoberto

Fork of Pathetic Bar Chart

This fork of the Pathetic Bar Chart displays the ten most populous countries using population data from the United Nations World Population Prospects 2019. The visualization renders horizontal bars without axes or labels, using React for component structure and d3.scaleBand and d3.scaleLinear to map countries and populations to SVG rectangles. The data is loaded asynchronously via d3.csv and limited to the first ten rows. The chart updates from a loading state to the final graphic once the dataset is fetched and parsed.

Ccoltonjcox92

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a set of horizontal bars without axes or labels, emphasizing raw bar lengths. The visualization uses React with hooks to fetch and parse United Nations World Population Prospects 2019 data via d3.csv, slicing the first 10 records. It renders SVG rectangles, positioning them with d3.scaleBand for the categorical country axis and sizing widths with d3.scaleLinear for population values. The code includes grid lines with tick marks from xScale.ticks(), though tick text is positioned incorrectly, and the chart shows only the bars and gridlines.

UUtsav Khatu