Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the population of three countries in 2022, using horizontal rectangles to encode population size and country names as category labels. The visualization is built with React for component structure and D3 v5 for data binding and scales—specifically `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and `d3.max` to set the domain. Data is loaded asynchronously from a CSV file using `d3.csv`. The chart includes axis ticks and gridlines, with all marks rendered as SVG elements.

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population of three countries from a CSV file, with each bar’s length encoding the population value. The visualization uses React to manage state and render the SVG, while D3 v5 provides the data loading via `csv`, scales (`scaleBand`, `scaleLinear`), and axis ticks. The chart includes purple vertical gridlines and labeled x- and y-axes, with bar heights fixed to the band width.

Mmanishcheruku

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This visualization displays a horizontal bar chart of 2022 population figures for the top three countries from a CSV file, using React to render SVG elements and D3 scales for positioning. The code defines a band scale for country names on the y-axis and a linear scale for population values on the x-axis, with purple grid lines and tick labels generated via `d3.scaleBand`, `d3.scaleLinear`, and `d3.max`. Bars are drawn as `<rect>` elements with widths proportional to population, and the data is loaded asynchronously using `d3.csv`. The chart is rendered inside a React component using `ReactDOM.render`.

Mmanishcheruku

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart visualizes the 2022 population data for a subset of countries, displaying only the first three rows from a CSV dataset. The visualization uses D3 v5 scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, rendering SVG rectangles as the primary marks. Built with React hooks (`useState` and `useEffect`), the code loads data via `d3.csv` and generates axes using `axisLeft` and `axisBottom`-style components. The chart includes gridlines and tick labels, with the population values encoded as bar widths.

GGogineni44

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example visualizes the population of ten countries in 2022 as a horizontal bar chart. It uses React for component structure and state management, while D3 v5 handles data loading via `d3.csv` and scales (`scaleBand`, `scaleLinear`). The chart renders to SVG, with custom tick marks and grid lines manually drawn instead of using `axisBottom` or `axisLeft`. Data comes from a GitHub Gist containing country population figures.

Ggeethikal

Rrohithannadurai@my.unt.edu

Fork of Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population of three countries using horizontal bars, with country names on the y-axis and population values on the x-axis. It uses React with a D3.js v5 backend, employing `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `csv` to load data from a remote GitHub gist. The chart renders as an SVG, drawing grid lines, axis labels, and rectangles for each bar.

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows a horizontal bar chart comparing population figures for six countries, with the bars rendered as rectangles and axes labeled using text marks. The visualization loads CSV data from a remote URL, parsing the 2016 population column, and uses D3’s scaleBand and scaleLinear to map country names and population values to screen coordinates within an SVG container. React manages the component state and renders the marks, while D3 v5 provides the data loading and scaling functions, including explicit tick generation and manual axis line and label placement.

JJyothicherukuri

Fork of ICE-6: Rendering Marks and Channels (Bar Chart)

This bar chart displays the 2022 population data for the three richest countries, drawn as SVG rectangles within a React component. The chart uses D3 v5’s `scaleBand` for the categorical y-axis (country names) and `scaleLinear` for the quantitative x-axis (population). Data is loaded asynchronously from a remote CSV via `d3.csv`, with axes and tick labels rendered using D3’s scale functions. The visualization is styled with fixed margins and a purple gridline, and the population values are logged to the console during processing.

Mmanishcheruku