Fork of Pathetic Bar Chart

Fork of Pathetic Bar Chart

This example renders a bar chart of the ten most populous countries using React and D3 v5, with data from the 2019 United Nations World Population Prospects. The chart is intentionally minimal, lacking axes and using only bars labeled with country names and value ticks generated by `xScale.ticks()`. SVG elements are created via React's JSX, with scales defined by `scaleBand` and `scaleLinear`. Data loads asynchronously through `d3.csv`, and the bars update once the top ten rows are fetched and parsed.

GGeekboxer

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries in 2020 as a bare bar chart without any axes, labels, or scales shown. The data comes from the United Nations World Population Prospects 2019 dataset, loaded via `d3.csv`. The visualization uses React with `useState` and `useEffect` hooks to fetch and store the data, then renders SVG rectangles positioned with `d3.scaleBand` and sized by `d3.scaleLinear`. Red gridlines are drawn at each tick of the x-axis using D3’s `ticks()`, though no tick labels appear.

Eeleshaky

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 example displays the top 10 most populous countries as a minimalist set of horizontal bars, with no axes or labels, using React to manage state and render SVG rectangles. The code loads United Nations World Population Prospects 2019 data via `d3.csv`, then applies `d3.scaleBand` for the y-axis positioning and `d3.scaleLinear` for the bar widths. It uses `useState` and `useEffect` hooks to asynchronously fetch and slice the data, and `d3.max` to set the x-scale domain.

Kkoubaib ben yedder

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using React hooks to manage state and effects. The code loads UN World Population Prospects 2019 data via `d3.csv`, parses the 2020 population column, and renders SVG rectangles scaled by `d3.scaleLinear` for width and `d3.scaleBand` for vertical positioning. React handles rendering updates, while D3 v5 provides data loading and scaling utilities.

CCYBERFENRIR

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using React to render SVG rectangles. The bars are sized proportionally to each country’s 2020 population, with blue vertical gridlines drawn from the linear scale’s ticks. Data comes from the United Nations World Population Prospects 2019, loaded via d3.csv and processed with scaleBand and scaleLinear. The visualization relies on React hooks (useState, useEffect) to fetch and store the data, while d3.v5 provides the scales and max function.

SSabbir

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a static, axis-less bar chart, using React for the user interface and D3.js for data loading and scaling. It fetches population data from the United Nations World Population Prospects 2019 via D3’s `csv` function, then maps the values using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The SVG rendering omits the axes, leaving only the bars and tick labels, which are generated from `xScale.ticks()`.

AAliaksandr

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a rudimentary bar chart with no axes, using a React component and SVG rendering. It loads United Nations World Population Prospects 2019 data from a CSV via `d3.csv`, slices the first ten rows, and maps populations for 2020 to rectangle widths using `d3.scaleLinear`, while `d3.scaleBand` positions each country vertically. The chart omits axis labels and titles, presenting only the bars against a blank canvas.

KKuladeep