Fork of bar_char 2

Fork of Fork of bar_char 3 axis

This horizontal bar chart displays the top 10 most populous countries in 2020, using data loaded from a CSV via D3’s `csv` utility. Bars are drawn as SVG rectangles, with a band scale for country names on the y-axis and a linear scale for population on the x-axis, including gridlines and tick labels generated from `xScale.ticks()`. React’s `useState` and `useEffect` manage the asynchronous data loading and rendering state.

93% match

bar_char

This example displays horizontal bars for the top five countries by projected 2020 population, using a React component that loads CSV data with D3’s `csv` utility. The bar lengths encode population values via a `scaleLinear`, while country names position each bar through a `scaleBand`. Rendering occurs as SVG `<rect>` elements, with React state managing the asynchronous data load and a temporary loading message. The chart uses dimensions of 960 by 500 pixels and defaults to a dark background from the page’s CSS.

91% match

Fork of Fork of Fork of Fork of bar_char 5 styles

This example renders a horizontal bar chart of UN population data for 10 countries in 2020, colored teal with labeled axes. Built with React components and D3 v5 scales, it uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis, drawing SVG rectangles per country. The code formats tick labels using D3’s `format` function, abbreviates values (e.g., “1.2B”), and supports tooltips via SVG `<title>` elements. Data is loaded asynchronously with D3’s `csv` utility.

90% match

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, using a bar width proportional to each country’s population. It loads CSV data from a GitHub gist via `d3.csv`, then maps each row’s population string to a number. The React component uses `useState` and `useEffect` to fetch and store the data, while `d3.scaleBand` and `d3.scaleLinear` position and size the rectangles. React renders the final SVG, with each country’s name on the y-axis and its population scaled along the x-axis.

Iisavedalex

90% match

Fork of Fork of Fork of bar_char 4 refactoring

This bar chart displays the top 10 countries by population from UN Population 2019 data, loaded via D3’s `csv` utility. The visualization maps countries to the vertical band scale and population values to the horizontal linear scale, rendering SVG rectangles for each row. React manages the asynchronous data loading through a custom `useData` hook, while D3’s `scaleBand` and `scaleLinear` handle the coordinate mappings. The chart includes axis components built with D3 ticks, showing the underlying refactoring of reusable chart parts across multiple forks.

Fork of bar chart with react and d3

This fork of a bar chart combines React and D3 to visualize population data for the top ten countries, loaded from a CSV file via a Gist URL. The SVG rendering uses D3's `scaleBand` for the categorical y-axis, `scaleLinear` for the numerical x-axis, and `max` to determine the domain. React manages the data state, displaying a "Loading..." message until the CSV is parsed. Both x-axis gridlines with tick labels and y-axis country labels are drawn using SVG elements within a transformed group.

Mmeghshah612

Fork of Refectoring a Bar Chart

This visualization displays the population of ten countries as a horizontal bar chart, rendered as SVG elements within a React application. The chart uses D3 scales (`scaleBand` and `scaleLinear`) to map country names and population values to screen coordinates, while React components like `AxisBottom`, `AxisLeft`, and `Marks` manage the rendering of axes and rectangles. Data is loaded asynchronously from a CSV file using D3’s `csv` utility, with population values parsed from the 2020 column.

TtrwMK

Fork of Pathetic Bar Chart

This example shows the top ten countries by 2020 population as horizontal bars, with bar lengths scaled proportionally to population size. The visualization uses React state to manage data loading and rendering, while D3 utilities load the CSV dataset and compute the scales. Specifically, `d3.csv` fetches the UN population data, `scaleBand` positions each country along the y-axis, and `scaleLinear` maps population values to bar widths on the x-axis. The chart renders as SVG rectangles inside a React component, updating once the data arrives and displaying a loading message beforehand.

TTaeyoung Ahn