First Bar Chart

First Bar Chart

This example displays the number of days for each month, derived from a CSV file, using horizontal bars where length corresponds to the data value (with days multiplied by 1000). Rendered as SVG via d3.v5, it employs `scaleLinear` for the x-axis, `scaleBand` for the y-axis, `axisLeft` and `axisBottom` for grid markings. Data is loaded through `csv()` from the United Nations World Population Prospects 2017 estimate, though the visible dataset is month-based.

AAnne Lee Steele

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

First Draft Electric Bar Chart

This bar chart visualizes monthly electricity usage across multiple utility accounts, with bars colored by account number and highlighted in orange on hover. The chart is rendered with SVG using D3.js v6, employing `scaleBand` and `scaleLinear` for axes and positioning. It reads data from a CSV file via `d3.csv` and includes interactivity through D3’s `.on("mouseover")` and `.on("mouseout")` event handlers. Axis labels are added manually, while a legend is positioned within the SVG group, and transitions animate the bar color changes on mouseout.

PPeter Cordone

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

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

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

My First Bar Chart

This example shows a basic bar chart of monthly revenue from a CSV file, with each bar’s height proportional to its revenue value. The chart uses D3 v7’s `scaleBand` for the x-axis months and `scaleLinear` for the y-axis, rendering rectangles in an SVG. Axes are added with `axisBottom` and `axisLeft`, while the raw data is loaded and parsed via `csv`. The visualization demonstrates a straightforward first step in binding data to SVG elements using D3’s data join pattern.

AAdan Rodriguez

EXPLORING BAR CHART v2

A sorted horizontal bar chart compares population counts for ten countries from a CSV file. Bars render in SVG with a green fill, and hovering highlights a bar while a tooltip div shows the country name and population. A click toggles bar color between green and magenta, and the chart calculates and displays a sum of all selected populations in a separate box. The visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.axisBottom with dashed gridlines. Tooltip and selection logic rely on D3’s `.on('mouseover')`, `.on('mouseout')`, and `.on('click')` event handlers, with transitions animating the color changes.

GGuillamon