Bar Chart

animated bar chart with labels

This animated bar chart displays the percentage of school districts meeting a connectivity benchmark for the years 2015 through 2018, with the final year highlighted in orange. Built with D3 v4, the SVG visualization uses `d3.scaleBand` and `d3.scaleLinear` to map years and values, while `d3.axisBottom` renders the x-axis ticks. Bars and their percentage labels grow sequentially via `transition().duration(600).delay()` as the dataset is read from an inline JavaScript array.

FFrissAnalytics

Bar chart

A horizontal bar chart displays population counts across weekly periods from 2019-W31 to 2019-W35. The bars are drawn as green SVG rectangles using D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with `axisLeft` and `axisBottom` providing tick labels. Data is loaded from a local CSV file via `d3.csv`, and numeric values are coerced with unary plus. The visualization uses an SVG container with fixed margins, rendering the chart in a clean, minimal style.

GGeolffrey S Mena

Making a Bar Chart

This example displays a bar chart of the number of files per year, with years on the y-axis and file counts on the x-axis. The visualization uses D3 v5 to load data from a CSV file, scale the values with `d3.scaleLinear` and `scaleBand`, and render SVG rectangles. Axes are drawn using `d3.axisLeft` and `d3.axisBottom`. The chart highlights the fluctuating file counts across years, peaking in 2014 and declining afterward.

TTopoVague

Bar chart

A horizontal bar chart displays population counts for five weeks (2019-W31 through 2019-W35) using green rectangles. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` to map the data and render axes. Data is loaded from a CSV file via `d3.csv` and rendered as SVG elements.

GGeolffrey S Mena

Making a Bar Chart

This example shows a horizontal bar chart of yearly values from 2011 to 2015, with each bar’s length representing a numerical value. The chart uses an SVG rendering with D3 v6, applying `scaleLinear` for the x-axis, `scaleBand` for the y-axis categories, and `axisLeft` and `axisBottom` to draw the axes. Data is loaded from a CSV file via `d3.csv`, and rectangles are appended to the SVG to form the bars.

Ssumaiyamahin

Bar Chart

A bar chart displays the running total of a dataset from 1949 to 2019, with each year’s cumulative value shown as a horizontal steelblue bar. The chart uses d3.csv to load the data, then d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis. Axes are rendered with d3.axisLeft and d3.axisBottom, while the x-axis labels are formatted with d3.format using a '.3s' suffix.

JJagan

Bar Chart

This bar chart displays monthly head counts from January 2013 through February 2014. The visualization uses D3 v5 with an SVG rendering approach, loading data from a CSV file. The code employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisLeft` and `d3.axisBottom` to generate axes. The bars are styled with a steelblue fill, and the chart includes a title and axis label. The y-axis gridlines are customized with `tickSize` to extend across the plot area.

Mmanoj5464

Document

This interactive bar chart shows monthly values for a selected year, with a slider controlling the year from 2009 to 2014 and a smooth 2-second transition animating the bars to their new heights and colors. The visualization uses D3 v4 with a band scale for months, a linear scale for values, and a quantile color scale to encode magnitude. Data is loaded from six CSV files using d3.queue, and the chart updates by merging entering and existing SVG rect elements via `selection.merge` and applying axis transitions.

Hhamzavg