line chart visualization

100%

line chart visualization

✓ Published0🌍 Public

Last edited Jul 2, 2022

Created on Jul 2, 2022

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Area Chart Visualization

This area chart visualizes the number of iPhone users from 2007 to 2017, using a smooth cubic basis curve for both the line and the filled region beneath it. The chart is rendered as an SVG, with linear scales for both the year (x-axis) and user count (y-axis). The code leverages D3 v5's `select`, `csv`, `scaleLinear`, `line`, and `area` APIs to load data from a CSV file, format the y-axis tick labels with `format('.3s')`, and append axis labels and grid lines.

Cchakritha06

88% match

Loading thumbnail…

Area Chart Visualization

This area chart visualizes iPhone user growth from 2007 to 2017 using a smooth curve generated by D3’s `area` and `line` generators with `curveBasis`. The SVG renders a filled purple region beneath a black stroke, with green tick labels and orange grid lines via `axisBottom` and `axisLeft`. Data loads from a CSV using `csv` and scales with `scaleLinear` for both axes. The code imports modular D3 v5 functions like `select`, `extent`, and `format`, illustrating a combined line-and-area chart pattern.

Cchakritha06

86% match

Loading thumbnail…

Apple Product Interactive

This interactive bar chart visualizes the growth of iPhone users from 2008 to 2020, with the y-axis showing millions of users and each bar labeled with its exact value. Hovering over a bar highlights it, displays a dashed reference line at that bar’s value, and shows the numeric difference between the hovered year and every other year as text above the bars. The visualization uses d3.csv to load data, d3.scaleBand and d3.scaleLinear for scaling, d3.axisLeft and d3.axisBottom for axes, and d3 transitions for hover effects.

KKenny Wu

83% match

Loading thumbnail…

line chart

This line chart displays the number of Android users over time, with years on the x-axis and user counts on the y-axis, both labeled accordingly. The visualization uses D3 v5 with an SVG rendering, employing `scaleTime` for the temporal axis, `scaleLinear` for the numeric axis, and `line` to generate the path. Data is loaded from a CSV file via `d3.csv`, with dates parsed using `d3.timeParse`. The chart includes gridlines, axis labels, and a red line path styled through an external CSS file.

Ssrivalliwuyyuru

82% 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

82% 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

81% match

Loading thumbnail…

Iphone Sales

This line chart shows iPhone sales from 2015 to 2021, with years on the x-axis and sales numbers on the y-axis. The data is loaded from a CSV file hosted on GitHub Gist using d3.csv. The visualization uses D3 v5 with SVG rendering, employing d3.scaleTime and d3.scaleLinear for axes, d3.extent and d3.max to compute domains, and d3.line to generate the path. Grid lines are added via axis ticks, and the chart includes axis labels and a title, all styled with custom CSS classes.

RRadhakrishna246

81% match

Loading thumbnail…

line chart visualization

This line chart visualizes Netflix user growth from 2001 to 2011, with the year on the x-axis and user count on the y-axis. The SVG chart uses d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.line to generate the path and axes. Data is loaded as CSV from a GitHub gist using d3.csv, with the date parsed via `new Date()` and user values converted to numbers. Styling includes colored tick lines, axis labels, and a title, with grid lines created through negative tick sizes.

HHarishma Nallala

80% match