Making a Bar Chart

Making a Bar Chart

This bar chart displays the top ten most frequently played live Pearl Jam songs, with play counts sourced from setlist.fm. The visualization uses D3 v5 to map song titles along the y-axis and play counts along the x-axis, encoding data as steelblue rectangles. It employs `scaleLinear` and `scaleBand` to compute scales, with `axisLeft` and `axisBottom` generating the axes, and `csv` to load the data.

93% match

Making a Bar Chart

This example visualizes the top 10 most-played Pearl Jam songs as a horizontal bar chart, sourced from setlist.fm. The bars, rendered as SVG rectangles, are encoded with each song's play count. The code uses D3 v5 API methods including `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load the data, compute scales, and draw the chart.

93% match

Making a Bar Chart

This bar chart displays the top 10 most-played Pearl Jam songs from a CSV file, ranking tracks like “Even Flow” and “Alive” by play count. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisLeft`/`d3.axisBottom` for tick marks. Data is loaded asynchronously via `d3.csv`, with play counts coerced to numbers. The chart includes margins and an updated scale to fit the fixed 960×500 SVG canvas.

92% match

Making a Bar Chart

This bar chart displays the top 10 most-played live Pearl Jam songs, ordered by play count from Even Flow down to Given to Fly. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` to render axes. Data loads via `d3.csv` and is rendered as SVG rectangles with steelblue fill. The code imports specific D3 modules and applies margins to position the chart within a 960×500 SVG canvas.

91% match

Making a Bar Chart

A horizontal bar chart ranks the ten most populous countries using a CSV data source. The visualization applies a linear scale for population and a band scale for country names, rendering bars as SVG rectangles filled with steelblue. Built with D3 v5, the code loads data via `d3.csv`, computes scales with `scaleLinear` and `scaleBand`, and displays axes using `axisLeft` and `axisBottom`.

JjimacDS

Making a bar chart

This example shows a horizontal bar chart ranking the ten most populous countries, with population values scaled along the x-axis and country names on the y-axis. It loads data from a CSV file and renders the bars as SVG rectangles using D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs. The bars are styled with a steelblue fill via CSS, and axes labels are positioned with margins for readability.

SSamuel Elbaz

Making a Bar Chart

This example shows a horizontal bar chart ranking API endpoints by hit count, with values from a CSV file rendered as steel-blue rectangles. The chart is built using D3 v5, with `d3.csv` loading the data and `d3.scaleLinear` and `d3.scaleBand` positioning the bars. Axis labels are generated via `d3.axisLeft` and `d3.axisBottom`, and the SVG output is styled with CSS. The bars extend horizontally from the left margin, and the chart uses a fixed 960×500 pixel canvas.

Pprudhvirajmudunuri

Making a bar chart

This example shows a horizontal bar chart ranking ten countries by population, with countries on the y-axis and population values on the x-axis. The code uses D3 v5’s `csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to render axes. Bars are drawn as SVG `rect` elements, with a steelblue fill, and the chart is fitted within margins inside an SVG canvas.

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