Skip to main content
SimilarExport ZIP
100%

Line Chart

✓ Published0🌍 Public
DDineshK2602
Last edited Mar 28, 2023
Created on Mar 28, 2023
Forked from HTML Starter

This line chart displays student growth rate from 1980 to 2005, plotting year on the x-axis and per capita mobile usage on the y-axis. The visualization uses D3 v5’s `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` generators to create the SVG path, with gridlines from tick size and rotated axis labels. Data is loaded via `csv()` from a GitHub gist, and the chart includes a title and styled axes using CSS classes.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Line Chart

This line chart visualizes student growth rates from 1980 to 2005, with years on the x-axis and growth rate on the y-axis. The chart uses d3.csv to load external data, then d3.scaleTime and d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for ticks, and d3.line with d3.extent and d3.max for path generation. Rendered as SVG, the chart includes axis labels and a title, with the line path styled in red via CSS.

SSravaniPosina
91% match
Loading thumbnail…

Line Chart

This line chart displays the usage of mobile devices over a ten-year period, with the x-axis representing years and the y-axis showing usage values. The visualization uses D3 v5 to load CSV data and render an SVG chart, employing `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.line` for the path, and `d3.axisBottom` and `d3.axisLeft` for labeled tick marks. The data is fetched from a GitHub gist, with a blue stroked line and styled text elements.

DDineshK2602
84% match
Loading thumbnail…

line chart visualization

This line chart visualization displays the growth of iPhone users from 2007 to 2017, with the x-axis representing years and the y-axis showing user counts. The chart uses d3.scaleTime and d3.scaleLinear for scaling, while d3.axisBottom and d3.axisLeft generate the labeled axes with gridlines. d3.line constructs the path, which is rendered as a thick red stroke on an SVG canvas. The data is loaded as CSV from a GitHub gist using d3.csv, with year values parsed as Date objects.

Cchakritha06
80% match
Loading thumbnail…

Fork of Fork of line chart section 3

This visualization shows the number of students from 2014 to 2022 as a single red line chart, with time on the x-axis and student counts on the y-axis. The chart uses D3 v5’s `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` generators to render the SVG path. Data is loaded from a CSV file via `d3.csv` and parsed with `d3.timeParse`. Axis labels and grid lines are styled through CSS classes, with margins applied to position the plot area.

Ggayathri
79% match
Loading thumbnail…

Fork of Line Chart

This example shows the number of students at a university from 2000 to 2008, plotted as a single red line over time. The chart uses D3 v5 with an SVG rendering approach, applying `scaleTime` for the year-based x-axis and `scaleLinear` for the student-count y-axis. Data is loaded from a remote CSV file. The line is drawn with the `d3.line` generator, while axes are created via `axisBottom` and `axisLeft`, with labels and a title added as text elements.

Rradhadevarapu
79% match
Loading thumbnail…

line chart

This line chart shows total mobile brand sales over time from 2013 to 2021, using a red stroke to trace the trend across dated points. The visualization loads CSV data from a GitHub gist, parses dates with `d3.timeParse`, and applies `d3.scaleTime` and `d3.scaleLinear` for the axes. It uses `d3.axisBottom` and `d3.axisLeft` with gridlines, and renders the line via `d3.line` into an SVG. The axes include rotated labels, and the chart is styled with custom CSS for tick colors and fonts.

SSwapna1915
79% match
Loading thumbnail…

Line Chart

This example uses a line chart to show the sales of a company over time, with years on the x-axis and sales values on the y-axis. The visualization includes labeled axes, a title, and a red line path. Built with React and D3 v5, it loads CSV data from a GitHub Gist and renders the chart as SVG. The code uses `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line` to map the data to visual elements.

Mmanvithareddykarra
79% match
Loading thumbnail…

Fork of line chart section 3

This chart displays the number of smartphone users from 2010 to 2021 as a single blue line, with red tick labels and green gridlines. It loads CSV data from a GitHub gist and uses d3.csv, d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.line to render the SVG graphic. The data is parsed with d3.timeParse for the year and numeric conversion for user counts, with margins and axis labels formatted via CSS.

PPallaviManupati
78% match