2 - Multiple line graphs with labels

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.

89% match

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.

88% 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.

87% match

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.

Labels on multiple lines v7

This example shows two time series lines—one for “close” and one for “open” values—plotted against a date axis, with each line labeled directly at its right‑end point using SVG `<text>` elements. The data is loaded from a local CSV via `d3.csv` and parsed with `d3.timeParse`. The chart is built with D3 v7 primitives: `d3.line` generates the path geometry, `d3.scaleTime` and `d3.scaleLinear` map data to coordinates, and `d3.axisBottom` and `d3.axisLeft` render the axes. Red and steel‑blue strokes distinguish the two lines, and their labels are positioned using the scaled y‑values of the first data point.

Multiple line graphs with labels

Two line graphs show the daily open and close prices of a stock over time, with each line labeled at its right endpoint. The blue line represents closing prices and the red line represents opening prices, plotted against a time-based x-axis and linear y-axis. The visualization uses D3.js version 3.5.17 with `d3.svg.line` to generate the paths, `d3.time.scale` for the x-axis, and `d3.scale.linear` for the y-axis, reading data from a CSV file. Labels are positioned using the final data point’s y-coordinate, as the CSV data is ordered newest-first.

Labels on multiple lines v4

This example shows a multi-line chart with two time-series lines for stock open and close prices, with labels placed directly at the end of each line. The labels “Open” and “Close” are positioned manually using SVG text elements, colored to match their respective lines (red and steelblue), and anchored to the final data points. The visualization uses d3.csv to load the data, d3.timeParse to parse dates, and d3.line with d3.scaleTime and d3.scaleLinear to render the paths in an SVG canvas.

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`.