D3 Example

D3

This example shows a horizontal bar chart of population data for ten countries, with population values scaled by a factor of 1,000. The visualization uses D3 v5 to load the CSV, create linear and band scales, and render SVG rectangles with axes. The code demonstrates `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and the chart is built within a React context, with the SVG element targeted by `d3.select`. The bars are styled with steelblue fill, and axes are labeled with a custom font size.

JJeffrey Miiller

D3 Chart

This example displays six D3.js charts—horizontal and vertical bar charts, a line chart, an area chart, a pie chart, and a donut chart—all rendered as SVG elements. Each visualization uses the d3.csv function to load population data by country from a local CSV file. The code applies d3.scaleLinear and d3.scaleBand for axes, d3.line and d3.area with curveBasis for path generation, and d3.scaleOrdinal with schemeSet2 for categorical colors, while d3.axisLeft and d3.axisBottom create the tick marks.

Sshadreza

D3 - Line chart (multiple)

This example displays multiple line charts on a single SVG canvas, tracking the average human wellness index for four countries (India, Sri Lanka, Vietnam, Cambodia) from 2010 to 2019. It first establishes linear scales for time and wellness values, then uses d3.line with path elements to draw each country’s trend, colored via an ordinal scale. The code employs d3.axisBottom and d3.axisLeft for axes, plus the d3-legend library’s legendColor for a horizontal ordinal legend. Data is loaded from a remote CSV using d3.csv, with parsing and flattening for the y-domain.

CChandana Srinivas

D3.js Line Chart

This line chart visualizes customer counts per year from 2000 to 2010, with the data loaded from a CSV file using `d3.csv`. The SVG visualization uses `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis, rendering the trend as a thick steel-blue stroke. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, while the line itself is built via the `d3.line` generator. The chart includes labeled axes for "Year" and "customers," following the reusable chart pattern from Bostock’s “Towards Reusable Charts.”

Iiamsravan

D3 Example

This line chart visualizes world population trends over time, with each line representing a different country. The data comes from the United Nations Population Estimates and is plotted with population on the y-axis and time on the x-axis. The chart uses D3.js to render an SVG, with a color legend distinguishing countries, and axis labels for "Time" and "Population". The visualization highlights population growth patterns across selected countries from 1950 onward, using a custom tick format that abbreviates large numbers with "B" for billions.

CCurran Kelleher

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This example shows a line chart of population values from 2005 to 2015, drawn as an SVG path using D3 v4’s `d3.line` and `d3.scaleTime`/`d3.scaleLinear` scales. The data is loaded from `data.json` with `d3.json` and parsed via `d3.timeParse`. A hover interaction uses a transparent overlay rectangle, `d3.mouse`, and `d3.bisector` to find the nearest year, then updates a focus circle, dashed hover lines, and a value label via direct SVG attribute manipulation. The y-axis labels are formatted in thousands with a custom tick format.

VVvgupta

D3 Example

This example visualizes the growth of world population from 1950 to 2015 with a single black line chart. It shows a steady upward trend over time, with the x-axis representing years and the y-axis showing population counts in billions. The visualization uses D3.js version 3.5.5, specifically `d3.svg.axis()`, `d3.time.scale()`, and `d3.svg.line()` to construct the chart. Data comes from the United Nations Population Estimates, loaded from a CSV file via `d3.csv`. The SVG rendering includes styled axes with custom tick formatting that converts "G" to "B" for billion, and the chart is drawn with a thick black stroke.

CCurran Kelleher

D3 Example

This example visualizes world population changes over time using an area chart, with the data sourced from the United Nations Population Estimates. It renders an SVG graphic where the x-axis represents time (years) and the y-axis shows population counts, formatted with a custom SI tick formatter that converts billions to "B". The code uses D3.js version 3.5.5, specifically the `d3.svg.area()` generator to create the filled area shape, along with `d3.time.scale()` for the time axis, `d3.scale.linear()` for the population axis, and `d3.svg.axis()` for the axes. The visualization is implemented as a single static chart without interaction.

CCurran Kelleher