CSV Data Pt 6 - Graphing

Bar Chart Review

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. The code uses React with D3 v5, loading data from a CSV file via `d3.csv` and rendering SVG elements. It employs `d3.scaleLinear` and `d3.scaleBand` for positioning, `d3.axisLeft` and `d3.axisBottom` for axes, and custom tick formatting with `d3.format` to abbreviate large numbers (e.g., converting billions to "B"). The bars are drawn via a data join, with a title and axis label added as text elements.

Ccathykan

Making a Bar Chart with React & D3

This example demonstrates a bar chart that ranks the ten most populous countries in 2020, using a horizontal layout where bar length corresponds to population size. The visualization uses React for declarative SVG rendering, with D3.js utilities handling data loading via `d3.csv`, creating categorical scales with `d3.scaleBand`, and continuous scales with `d3.scaleLinear` and `d3.max`. The code fetches population data from a CSV URL and transforms each row before rendering the bars as SVG rectangles.

Jj-PGi

Bar chart

This example displays a horizontal bar chart ranking the top 10 most populous countries, using population data loaded from a CSV file via `d3.csv`. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and renders bars as SVG `rect` elements. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, with tick formatting applied through `d3.format` to abbreviate numbers. The visualization is built with React, D3 v6, and SVG rendering.

JJordy Fronik

bar chart using react and d3

This example shows a horizontal bar chart of the ten most populous countries for 2020, using population data loaded from a CSV file. The chart is rendered as SVG within a React application, with each bar’s length proportional to the country’s population. The code uses React’s `useState` and `useEffect` hooks to fetch and parse the data with `d3.csv`, then employs `d3.scaleBand` and `d3.scaleLinear` to map countries and population values to the chart’s dimensions.

BBrian Machado

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 countries by population in 2020, using data loaded from a CSV file. The visualization is built with React, which renders SVG elements, while D3 utilities handle data processing and scales. The code uses `scaleBand` for the categorical country axis and `scaleLinear` for the population value axis, mapping data to rectangle dimensions. The chart loads data via `csv` and updates reactively once the data arrives, displaying "Loading..." until then.

Llefat92

Bar Chart Rendering Data with React and D3

This example visualizes the top 10 most populous countries as horizontal bars, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects. The React component manages state for the loaded data, while D3’s `scaleBand` positions countries along the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. Data is fetched as CSV via `d3.csv`, and the chart renders as SVG `<rect>` elements within a React-rendered `<svg>` container.

AAriana

Population BarChart (React & D3)

This example displays the ten most populous countries as a horizontal bar chart, with each bar’s length proportional to its 2020 population estimate. The visualization loads CSV data from a GitHub gist using `d3.csv` and renders an SVG through React components. Scales are constructed with `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the continuous population axis, while gridlines and axis ticks are generated via `xScale.ticks()`. The chart updates reactively as data arrives asynchronously.

RRob OLeary

Bar chart with React & D3

This example presents a horizontal bar chart of the top 10 most populous countries in 2020, using data loaded from a CSV file via `d3.csv`. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with grid lines generated from `xScale.ticks()`. React manages the application state and renders the SVG output, displaying an initial "Loading..." message before the data arrives. The bars are drawn as SVG `<rect>` elements within a translated `<g>` group, with the entire visualization rendered using React DOM.

Kkatjur01