Making a Bar Chart

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.

94% match

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.

92% 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.

92% match

Plays over Time

This scatterplot displays monthly play counts for a user’s top 10 artists, with each circle colored by artist via a d3.scaleOrdinal. A clickable legend (d3.ordinal color legend) filters the visualization to a single artist, dimming others. Data comes from a CSV loaded with d3.csv, and the chart uses d3.axisBottom, d3.axisLeft, and d3.scaleTime to render time and play count axes in SVG.

OOxfordComma

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

Bar Chart.js!

A horizontal bar chart displays the top 10 most populous countries from a CSV file using D3 v5. The chart uses `d3.scaleBand` for y-axis categories and `d3.scaleLinear` for population values, with formatted tick labels converting values to billions. Bars are rendered as SVG rectangles in steel blue, with axis labels and a title included. The code loads data via `d3.csv` and applies a custom tick format to abbreviate large numbers.

PPetter-Smit

Fork of Making a Bar Chart

This bar chart displays the top ten products by revenue, with each bar’s length proportional to dollar sales, as sourced from a CSV file. It demonstrates customized D3 axes, including a formatted tick label that abbreviates large numbers and removes unnecessary domain lines. Built with D3 v5, the visualization uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom`/`axisLeft` to render SVG elements. The chart’s title and axis label are added via SVG text.

Sskambhore04