Multiple Simple graphs on one page

Multiple line graph in v7

This example displays two line graphs on a shared time-based x-axis, comparing the open and close prices from a small CSV dataset over a three-month period. The close price is shown as a steelblue line, while the open price appears in red, with both axes scaled to fit the data. The visualization uses d3.line and d3.scaleTime to map data points, d3.axisBottom and d3.axisLeft to render the axes, and d3.csv to load the data. The SVG output includes two separate path elements styled with CSS classes.

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.

82% match

Multiple line graph in v4

This example displays two time-series lines—one for closing prices and one for opening prices—in a single SVG chart using D3 v4. The chart uses `d3.csv` to load data from a CSV file, `d3.timeParse` to convert dates, and `d3.scaleTime` and `d3.scaleLinear` for the axes. Two `d3.line` generators create the paths, with the second line styled red via `.style("stroke", "red")`. Axis rendering uses `d3.axisBottom` and `d3.axisLeft`.

82% match

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.

Multiple line graph in v5

This example shows two time-series lines, one for closing prices and one for opening prices, plotted against dates from a CSV file. The visualization uses d3.scaleTime and d3.scaleLinear to map data to x and y axes, with d3.line generating the two path elements. A steelblue line represents the close values, while a red line, styled via a second `.line` class, represents the open values. The axes are rendered with d3.axisBottom and d3.axisLeft in an SVG container sized at 960 by 500 pixels.

d3.js line graph with dual Y axes

This example shows two time-series lines—one for closing values and one for opening values—plotted against a shared time axis but with separate y scales on the left and right sides. The SVG graphic uses D3.js version 3.5.17 with `d3.time.scale`, `d3.scale.linear`, and `d3.svg.axis` to render the axes and lines, while `d3.csv` loads the date-stamped data from a local CSV file. The left axis and blue line correspond to the close column, and the right axis and red line correspond to the open column, making it easy to compare trends across different value ranges.

Simple graph and table using d3.js

This example pairs a simple line graph with an HTML table generated from the same CSV dataset, showing date and closing value pairs. The SVG chart uses D3.js scales, axes, and a line generator to plot the data, while a separate table function renders the raw values beneath it. The code relies primarily on `d3.csv` for data loading, `d3.time.scale` and `d3.scale.linear` for scaling, and `d3.svg.axis` for axis creation, all within D3 version 3.5.17. The table is styled inline with font and margin attributes.