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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`.

76% match

Simple line graph in d3.js

This simple line graph visualizes a small dataset of numeric date-value pairs loaded from a CSV file. It shows a single steel-blue polyline plotted against linear x and y axes, with five ticks per axis. The example uses d3.js v3 to parse the CSV, apply linear scales, and render the chart as SVG. It defines axes with d3.svg.axis and constructs the line path with d3.svg.line, demonstrating core D3 data-binding and scaling techniques for teaching purposes. The graph focuses on the essential structure of a D3 chart without additional interactivity or annotations.

MMNoichl

76% match

Basic Chart, simple dataset

This example displays two overlaid line charts, each plotting a distinct series from a tab-separated dataset against the same x-axis. The visualization uses D3 v5 to load data via `d3.tsv`, applies linear scales (`d3.scaleLinear`) to map x and y values, and renders the series as both green and steel-blue circles and connected paths using `d3.line`. The SVG output is transformed by a 25-pixel offset, while the dataset contains paired y-values across nine x-points.

NNoWizards

76% match

Untitled

This example demonstrates a dual-line chart tracking a dataset's open and close values over time. Two separate line series, one steelblue and one red, are rendered using SVG paths within a shared time-scaled x-axis and linear y-axis. The code uses D3 version 7 with `d3.csv` to fetch remote data, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.line` generators to map data points. Axes are added with `d3.axisBottom` and `d3.axisLeft`.

YYiHeng822

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.

Linechart2

This example shows multiple time series as colored lines, with each line representing a distinct category tracked over time on a shared axis. It uses D3 v6 to load a CSV dataset with `d3.csv`, group the data by category with `d3.group`, and render the lines with the `d3.line` generator. The visualization sets up a linear x-axis for years and a y-axis for values, applying a categorical color scale via `d3.scaleOrdinal`. The SVG is appended to a `div` container with explicit margins and dimensions, and axes are drawn using `d3.axisBottom` and `d3.axisLeft`.

Nnicolekevans

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.

Multiple Simple graphs on one page

Two line charts display daily closing values from two separate CSV files, each plotted on its own SVG canvas stacked vertically. The example demonstrates how to reuse a shared set of D3 3.5.17 API components—including `d3.time.scale`, `d3.scale.linear`, `d3.svg.axis`, and `d3.svg.line`—to build multiple independent graphs on one page. Data is loaded with `d3.csv`, parsed with `d3.time.format`, and rendered as steel-blue paths with annotated axes. Both charts use identical margins, dimensions, and axis configurations, showing a simple way to generate small multiples.