Let's make a barchart with D3.js

Lets make a BarChart

A bar chart displays the top 10 most populous countries, with horizontal bars ordered by rank and sized by population in thousands. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population values and country names, with `axisLeft` and `axisBottom` providing labeled ticks. Population data is loaded from a CSV file via `d3.csv`. The React framework wraps the rendering, which outputs SVG elements styled with steelblue rectangles and custom text for the title and axis labels.

Llukastieber

Let's make a bar chart

This example shows a horizontal bar chart of the top 10 most populous countries, using population data from a CSV file. The chart displays the countries in descending order of population, with each bar’s length scaled linearly and the y-axis arranged as a band scale. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, rendering to SVG within a React app. It also formats tick labels with d3.format and uses a margin convention for layout.

Cckuchman

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. It uses D3 v6’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs within a React-free SVG rendering. The data is loaded from a CSV file and parsed by multiplying the population column by 1000. Grid lines are drawn via tick size customization, and the left axis’s domain and tick lines are removed for a cleaner look.

Eestulo

Making a Bar Chart

This bar chart displays the top 10 countries by population using horizontal bars, with country names on the y-axis and population counts on the x-axis. The visualization uses D3 v5 within a React framework, rendering to SVG. It employs `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with `axisBottom` and `axisLeft` for ticks. Data comes from a CSV file, with population values multiplied by 1,000, and tick labels formatted using D3's `format` with abbreviations replaced from 'G' to 'B'.

Ssamwatersw15

Bar chart with react and D3

This example displays a horizontal bar chart of the top ten countries by population for 2020, using React to manage state and render the SVG, while D3 provides the scales and data loading. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.csv` to fetch data from a GitHub Gist. Axis labels and tick marks are generated manually with React components and D3’s tick function, with no additional libraries beyond the core React 16.9 and D3 v5 APIs.

Sshimos12468

Let's make a bar chart with D3.js

This bar chart displays the populations of ten countries, with bars extending horizontally from a left-aligned axis. The visualization uses D3.js v5 within a React framework to load CSV data and render SVG elements, employing `d3.scaleLinear` and `d3.scaleBand` for proportional scaling. It generates left and bottom axes via `d3.axisLeft` and `d3.axisBottom`, and appends rectangles through a data join to encode population values.

Ssingularity6033

Making a Bar Chart with React

This example shows a horizontal bar chart of the top 10 countries by population in 2020, with rectangular marks colored teal and a formatted axis labeling values in billions. Built with React and D3 v5, it uses scaleBand for the y-axis, scaleLinear for the x-axis, and separates chart elements into reusable components like AxisBottom, AxisLeft, and Marks. Population data is loaded from a CSV file using d3.csv, and the SVG is rendered entirely through React.

OOscar

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