Line Data Example

Line Chart with Gridlines

This line chart displays a time series of closing values, with a smooth blue line connecting individual data points marked by red dots, overlaid on a light gray grid. The chart emphasizes the trend and distribution of values across the dates. The visualization is built with D3 v4, using an SVG renderer and D3's time scale for the x-axis and linear scale for the y-axis. It employs `d3.area` and `d3.line` to draw the area and line, while custom gridlines are generated via `d3.axisBottom` and `d3.axisLeft` with dashed strokes. The data is loaded from a tab-separated values file.

84% match

Gist b126925b336690e07481fe09b384f125

This example demonstrates a time-series line chart showing closing values over a two-month period. The visualization uses a single blue line to connect data points, with a time-scaled x-axis and a linear y-axis that starts at zero. The code employs D3 v4’s `d3.line()` generator, `d3.scaleTime()`, and `d3.scaleLinear()` to map the data, which is loaded from an external tab-separated file. Axes are rendered via `d3.axisBottom()` and `d3.axisLeft()`, with the SVG canvas sized at 960 by 500 pixels plus margins.

81% match

Line Chart 4.0

This line chart visualizes daily closing stock prices from April 2007 to June 2008, with time on the x-axis and price in dollars on the y-axis. The SVG rendering uses D3 v4 APIs including `d3.timeParse`, `d3.scaleTime`, `d3.scaleLinear`, and `d3.line` to generate the path, while axes are drawn with `d3.axisBottom` and `d3.axisLeft`. The data is loaded from a tab-separated `data.tsv` file containing date and close columns, with the line styled in steelblue.

深深度碎片

80% match

Simple graph with filled area in v4

This example shows a line graph of daily closing values with a filled area beneath the line, using a simple time-series dataset parsed from CSV. The visualization is rendered as SVG using D3 v4, with `d3.scaleTime` and `d3.scaleLinear` mapping dates and values to pixel coordinates. The area is generated via `d3.area`, while the line uses `d3.line`, and both axes are drawn with `d3.axisBottom` and `d3.axisLeft`. The data comes from a local `data.csv` file containing date and close columns.

Dd3noob

first line chart

This example visualizes a time series of closing values as a single orange line chart, with the x-axis representing dates and the y-axis representing numeric values. It first shows the trend of the data, then the code builds it by loading tab-separated values from an external URL and parsing dates with `d3.timeParse`. The line is drawn using `d3.line` with a `scaleTime` for the x-range and a `scaleLinear` for the y-range. Axes are added via `d3.axisBottom` and `d3.axisLeft`, while the line itself is styled with a 10-pixel-wide orange stroke.

Simple Line Graph v5

A simple line graph displays daily closing prices over roughly six weeks, extracted from a CSV file with date and value columns. The visualization uses an SVG path rendered through D3 v5's `d3.line()` generator, with a time scale for the x-axis and a linear scale for the y-axis. Margins are set explicitly, and both axes are drawn using `d3.axisBottom()` and `d3.axisLeft()`. The date strings are parsed with `d3.timeParse()`, and the line is styled with a steelblue stroke.

Dd3noob

first line chart

This example demonstrates a basic time-series line chart using D3.js version 4, plotting data points over a date range against numeric values. The visualization renders an SVG path with a thick orange stroke to represent the trend, while axes are drawn using D3’s `d3.axisBottom` and `d3.axisLeft`. The code loads tab-separated data via `d3.tsv` from an external URL, parses dates with `d3.timeParse`, and maps values using `d3.scaleTime` and `d3.scaleLinear`. The line is generated with `d3.line`, and the chart is positioned within a configured margin. The data source is a static TSV file, and the rendering is fully SVG-based.