xAxis with time series

D3: Time axis, prettier

This example shows a time-based scatterplot of daily amounts, with vertical grid lines and circular markers positioned along a date axis. The visualization uses D3 v5 and loads data from a CSV file via `d3.csv`, parsing date strings with `d3.timeParse` and formatting axis labels with `d3.timeFormat`. Axes are created using `d3.axisBottom` and `d3.axisLeft`, while `d3.scaleTime` and `d3.scaleLinear` handle the positioning. The SVG rendering draws lines and circles for each data point, making the temporal trend of the amount values immediately apparent.

Nnikomc

74% match

Formatted time labels for an axis with v5

A line graph plots stock closing prices over time using a date-value CSV. The x-axis uses formatted time labels rotated at a steep angle to prevent overlap, displaying dates in a year-month-day format. Built with d3.v5, it employs `d3.timeParse` to parse dates, `d3.scaleTime` for the axis, and `d3.axisBottom` with a `d3.timeFormat` tick formatter. The SVG rendering includes a styled line path and both axes.

74% match

Axis Labels in v5

This example displays a line graph of stock closing prices over time, annotated with "Date" and "Value" axis labels. Built with D3 v5, it uses `d3.timeParse`, `d3.scaleTime`, `d3.line`, and `d3.axisBottom`/`d3.axisLeft` to render an SVG path and axes from a CSV dataset. The labels are added as SVG text elements positioned using margin and dimension calculations, demonstrating custom axis labeling in D3 v5.

73% match

fresh block

A simple D3.js example displays a time-scale x-axis spanning from September 2012 to January 2013, with major ticks every 14 days formatted using a custom multi-level time format (`d3.time.format.multi`). The code sets a large top and bottom margin (250 pixels) to center the axis vertically within the SVG canvas. It renders a single SVG group containing the axis via `d3.svg.axis()`, with tick labels suppressed by the custom format function. The visualization demonstrates basic axis configuration and custom tick formatting without any underlying data or interactive behavior.

AA6Brgeuka

73% match

Formatted time labels for an axis with v4

This example shows a simple line chart of stock closing prices over time, using formatted and rotated date labels on the x-axis. The visualization is built with d3.v4 and rendered as an SVG. It parses dates from a CSV file using `d3.timeParse` and `d3.timeFormat`, applies the axis with `d3.axisBottom` and rotated tick text, and draws the line with a `d3.line` generator. The code follows the structure of a basic d3 line graph, with margins, scales, and data mapping defined explicitly.

Axis Labels in v6

This example shows a line chart of stock closing prices over time, with clear axis labels for both the x- and y-axes. The visualization uses d3.csv to load date and close values from a CSV file, then d3.scaleTime and d3.scaleLinear to map the data to SVG coordinates. The line is drawn with d3.line, and the axes are rendered using d3.axisBottom and d3.axisLeft. The code adds rotated text for the y-axis label and horizontally centered text for the x-axis label, demonstrating how to annotate axes in d3 v6.

Axis Labels in v4

This example shows a line chart of stock closing prices over time, with clear labels for both the x-axis (“Date”) and y-axis (“Value”). It uses d3.csv to load time-series data, d3.timeParse to convert date strings, and d3.scaleTime and d3.scaleLinear to map data to screen coordinates. The line is drawn as an SVG path with d3.line, and the axes are rendered via d3.axisBottom and d3.axisLeft. Custom text elements are appended to label the axes, demonstrating how to add axis titles in d3 v4.

Customizing Axes

This example demonstrates customized chart axes with an SVG bar chart of country populations loaded from a local CSV file. It uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to create the plot, applying a custom tick formatter that abbreviates large numbers with `format('.3s')` and replaces ‘G’ with ‘B’. The x-axis is styled as a full-length gridline, while the y-axis removes its domain and tick lines for a cleaner look.

IIan