Scatterplot with v6

Scatterplot with v5

This example shows a time-series line graph of stock closing prices, with circular scatterplot points overlaid on each data value. The visualization uses a steelblue line and dark circles to highlight individual daily observations across the date range. Built with d3 v5 and rendered as SVG, the code employs `d3.csv` to load the data, `d3.timeParse` for date formatting, and `d3.line` for the path, while `d3.scaleTime` and `d3.scaleLinear` handle the axes. The scatterplot points are appended as SVG circles positioned via the same x and y scales.

88% match

Scatterplot with v7

This example combines a line graph with an overlay of scatterplot points to show daily closing prices over time. The SVG visualization uses D3 v7 to load CSV data, parse dates with `d3.timeParse`, and scale values with `d3.scaleTime` and `d3.scaleLinear`. A `d3.line` path draws the trend, while circles are appended at each data point’s coordinates, with axes rendered via `d3.axisBottom` and `d3.axisLeft`.

85% match

Scatterplot with v4

This example shows a line graph of stock closing prices over time, with scatterplot points overlaid on the line to mark individual data values. The code loads a CSV file with dates and closing prices, parses the dates with `d3.timeParse`, and defines scales using `d3.scaleTime` and `d3.scaleLinear`. It renders the line with a `d3.line` path and adds circles for each data point using SVG. Axes are drawn with `d3.axisBottom` and `d3.axisLeft`. The visualization uses d3.v4 and is rendered as SVG in the browser.

82% match

Multiple line graph in v6

This example displays two time-series lines on a single chart, comparing the daily close and open values from a CSV file. The visualization uses a time-scaled x-axis and a linear y-axis, with the close line rendered in steel blue and the open line in red. Built with D3 v6, the code employs `d3.csv`, `d3.timeParse`, `d3.line`, and `d3.axisBottom`/`d3.axisLeft` to load, parse, draw, and label the data within an SVG. The graph comes from the D3 Tips and Tricks book repository.

Simple scatter plot in v4

This example shows a simple line graph with circular data points overlaid to create a scatter plot, displaying stock closing prices over time. The visualization uses d3.csv to load the data, d3.timeParse to convert date strings, and d3.scaleTime and d3.scaleLinear to map the date and price values to pixel coordinates. A d3.line generator draws the line path, while appended circle elements mark each data point. The chart includes axes generated with d3.axisBottom and d3.axisLeft, all rendered as SVG within the page.

Simple Line Graph v6

A simple line graph plots daily closing values over time, with the y-axis scaled from zero to the data maximum and dates parsed using `d3.timeParse`. Rendered as an SVG, the chart uses `d3.scaleTime` and `d3.scaleLinear` for axes, while `d3.line` generates the steelblue path. The code loads a CSV file via `d3.csv` and displays the result with `d3.axisBottom` and `d3.axisLeft`, serving as a minimal D3 v6 template.

Line graph with gradient in v6

This line graph displays stock closing prices over time, with the line’s color gradient shifting from red to black to green based on the y-axis value. The gradient is defined using an SVG `linearGradient` with userSpaceOnUse coordinates and multiple stop points. The chart is built with d3.v6, using `d3.csv`, `d3.line`, `d3.scaleTime`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. Data comes from an external CSV file containing dates and closing prices.

Simple graph with grid lines in v6

This example displays a line chart of stock closing prices over time, with light gray grid lines spanning both axes to aid readability. It uses D3 v6 to load a CSV file, parse dates, and scale the data with `d3.scaleTime` and `d3.scaleLinear`. The grid lines are generated by calling `d3.axisBottom` and `d3.axisLeft` with custom tick sizes, while the line path is drawn using `d3.line`. The SVG rendering includes margins and styled grid elements for a clean visual layout.