Simple graph with grid lines in v7

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.

91% match

Simple graph with grid lines in v4

A line chart displays stock closing prices over time from a CSV file, with light gray grid lines added behind the data. The chart uses D3 v4 with an SVG rendering approach, employing `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.line` for the path, and `d3.axisBottom` and `d3.axisLeft` with custom tick sizes to generate the grid. The visualization is based on a gist by d3noob, serving as a follow-up to a simpler line graph example.

90% match

Simple graph with grid lines in v5

This example shows a line graph of stock closing prices over time, enhanced with light gray grid lines for both the x- and y-axes. The chart loads CSV data with dates and values, parses the dates, and scales the data using `d3.scaleTime` and `d3.scaleLinear`. Grid lines are generated via `d3.axisBottom` and `d3.axisLeft` functions, with tick marks extended across the plot area. The line path is drawn with `d3.line`, and axes are rendered using D3 v5’s SVG-based axis components.

89% match

Simple Line Graph v7

This chart displays the closing price of a stock over time from late March to early May 2012, using a single blue line. It renders data from a CSV file as an SVG path, with the x-axis showing dates and the y-axis showing price values. The code loads the data via `d3.csv`, parses dates with `d3.timeParse`, scales the axes with `d3.scaleTime` and `d3.scaleLinear`, and draws the line using `d3.line`. It appends axes with `d3.axisBottom` and `d3.axisLeft` to complete the visualization.

87% match

Simple graph with grid lines in v4

This example shows a simple line graph of stock closing prices over time, with horizontal and vertical grid lines added to aid readability. The visualization uses D3.js v4 to load CSV data, parse dates, and render an SVG line chart with axes. Grid lines are generated using `d3.axisBottom` and `d3.axisLeft` with tick sizes extended across the plot area, and the y-axis grid lines have alternating opacity for subtle styling. The line itself is drawn with `d3.line`, while the data comes from a local `data.csv` file containing dates and closing values.

GGerardoFurtado

Simple graph with table in v7

This example shows a date-based line graph of closing values from a CSV file, accompanied by a table displaying the same raw data. The SVG line chart uses d3.line with a time scale (d3.scaleTime) and linear scale (d3.scaleLinear), while axes are generated with d3.axisBottom and d3.axisLeft. A separate HTML table is constructed via d3.select and append, with rows and cells bound to the parsed data. The code relies on d3.csv for loading and d3.timeParse for date formatting.

Simple line graph with v4

A simple line graph shows the closing price of a dataset over time, with dates on the x-axis and values on the y-axis. Using d3.v4, the code loads a CSV file via `d3.csv`, parses dates with `d3.timeParse`, and constructs the line with `d3.line`. SVG scales and axes are built with `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`. The rendered SVG path displays a steelblue line, with margins and dimensions set explicitly.

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.