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.

94% match

Making a Bar Chart

This example shows a horizontal bar chart ranking the top 10 most-played live Pearl Jam songs by play count, using data from a CSV file. Built with D3 v5, it loads `data.csv` via the `csv` method, then renders SVG rectangles using `scaleLinear` for the x-axis and `scaleBand` for the y-axis, with axes added via `axisLeft` and `axisBottom`. The chart is styled with steelblue bars and includes a YouTube video embed in the README.

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

This example shows a horizontal bar chart of the ten most populous countries, with bar lengths proportional to each country's population. It uses D3 version 5 APIs including `select`, `csv`, `scaleLinear`, `max`, and `scaleBand` to load data from a CSV file, compute scales, and render SVG rectangles. The chart applies a linear scale to population values and a band scale to country names, with bars drawn inside an SVG element with fixed dimensions and a margin offset.

CCodeHandLuke

Making a Bar Chart

CCodeHandLuke

Making a bar chart

This example shows a horizontal bar chart of the top 10 most populous countries, using circles sized by population instead of traditional bars. The chart loads data from a CSV file and renders as an SVG. The code uses D3 v5 APIs including `select`, `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to build the visualization, with custom tick formatting and a title.

Jjay

Making a Bar Chart

This example shows a horizontal bar chart of the ten most populous countries, with each bar’s length scaled to its population value, read from a local CSV file. Built using D3 version 6, the visualization uses `d3.csv` to load and parse the data, `d3.scaleLinear` and `d3.scaleBand` for the x- and y-axes, and `d3.axisLeft` to render the country labels. The bars are drawn as SVG rectangles within a 960×500 canvas, with margins defining the plot area.

Jjakenachlas