Fork of D3.js Line Chart

100%

Fork of D3.js Line Chart

✓ Published1🌍 Public

Last edited Mar 30, 2023

Created on Mar 30, 2023

This line chart visualizes customer counts per year from 2000 to 2010, using data loaded from a CSV file. It renders an SVG path with a thick steelblue stroke via d3.line(), with d3.scaleBand positioning years along the x-axis and d3.scaleLinear mapping customer values on the y-axis. Axes are generated using d3.axisBottom and d3.axisLeft, and labels for “Year” and “customers” are added as SVG text elements.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of D3.js Line Chart

This line chart visualizes customer counts per year from 2000 to 2010 using a CSV dataset. It renders an SVG with D3 v7, employing a band scale for the x-axis and a linear scale for the y-axis. The line path is drawn with `d3.line()`, positioned at each band’s center, and styled with steelblue strokes. Axes are generated using `d3.axisBottom` and `d3.axisLeft`.

GGogineni44

97% match

Loading thumbnail…

Fork of D3.js Line Chart

This line chart visualizes customer counts per year from 2000 to 2010 using data loaded from a CSV file. The SVG rendering employs D3.js v7 with a band scale for the x-axis and a linear scale for the y-axis, with axes generated via d3.axisBottom and d3.axisLeft. The line path is drawn using d3.line() with half-bandwidth offsets to align points with categorical year labels. Axis labels “Year” and “customers” are added as SVG text elements, while the chart is styled with steelblue strokes and thick axis text.

Ppemmasaniprudhvinadh

96% match

Loading thumbnail…

Fork of D3.js Line Chart

This line chart visualizes customer counts from 2000 to 2010 using a CSV data file, rendering the trend as a thick steelblue path. The chart employs D3 v7 with a band scale for the year categories and a linear scale for customer values, displaying axes with labeled “Year” and “customers.” The SVG rendering includes a single line that highlights the data points’ trajectory across the decade, built using d3.line and scaleBand positioning. The visualization uses dataset from an external CSV source, presented in a reusable chart format inspired by Towards Reusable Charts.

SSANEEM MOHAMMAD

95% match

Loading thumbnail…

Fork of D3.js Line Chart

This visualization presents a line chart of customer counts from 2000 to 2010, using data loaded from a CSV file. The chart uses an SVG rendering with D3.js v7, employing `d3.scaleBand` for the x-axis (year) and `d3.scaleLinear` for the y-axis (customers). A `d3.line` path generates the line, with axes created via `d3.axisBottom` and `d3.axisLeft`. The example demonstrates a fork of a basic D3 line chart, initially inspired by reusable charts, though the code here is a straightforward implementation with labeled axes.

NNikithakatta30

95% match

Loading thumbnail…

Fork of Fork of D3.js Line Chart

This visualization displays the number of customers per year from 2000 to 2010 using a line chart. The chart encodes years on the x-axis and customer counts on the y-axis, with a thick steelblue line tracing the trend. Built with D3 v7, the code leverages `d3.csv` to parse the data, `d3.scaleBand` for the categorical x-axis, and `d3.scaleLinear` for the numeric y-axis. The line itself is drawn using `d3.line` within an SVG path, while axes are generated via `d3.axisBottom` and `d3.axisLeft`.

NNikithakatta30

94% match

Loading thumbnail…

Fork of D3.js Line Chart

This example shows the change in customer counts from 2000 to 2010 using a thick steelblue line plotted over a band scale. The visualization uses D3.js v7 to load CSV data, create linear and band scales, and render SVG axes and a line path generated with `d3.line()`. The code constructs the chart by selecting a container div, appending an SVG group, and drawing the path with x-coordinates offset by half the band width. The data comes from an inline CSV file with year and customers columns.

NNeeharikaGali

93% match

Loading thumbnail…

Fork of D3.js Line Chart

This line chart visualizes the customer count per year from a small CSV dataset, using a steelblue stroke to emphasize the trend over time. Built with D3.js v7, the SVG rendering applies a band scale for the x-axis and a linear scale for the y-axis, with axis labels and styled paths. The code loads data via `d3.csv`, constructs the chart with `d3.scaleBand`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line`, and includes custom CSS for the chart’s appearance.

Rrajamrit-singh

93% match

Loading thumbnail…

Fork of D3.js Line Chart

This visualization displays customer counts per year from a small CSV dataset using a line chart. The D3.js v7 code loads the data with `d3.csv`, then applies a `scaleBand` for the x-axis and `scaleLinear` for the y-axis. The line is drawn with the `d3.line` path generator, using an SVG rendering approach within a designated chart container. The chart includes labeled axes for "Year" and "customers", with styling applied through a separate CSS file.

NNikitha123171

92% match