Fork of Line_Stroke_Death

100%

Fork of Line_Stroke_Death

✓ Published0🌍 Public

Last edited Apr 7, 2023

Created on Apr 7, 2023

This line chart visualizes the closing price of Netflix stock over time, using a smooth curved line rendered in an SVG element. The chart is built with D3.js, employing `scaleLinear` for both axes, `extent` to compute domains, and `line` with `curveBasis` for the smoothed path. Data is loaded via `csv` from a GitHub gist containing historical stock data. The visualization includes labeled X and Y axes, a title, and horizontal gridlines with tick marks extending across the plot area.

AI-generated description

This line chart shows one week of temperature (in degrees Celcius) in San Francisco. The data comes from Data Canvas - Sense Your City.

Made in this video:

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Stylized Line Chart

This visualization displays Netflix user counts over time using a smooth, stylized line chart. The React-based example loads CSV data from a GitHub-hosted dataset and renders an SVG with D3 v3 scales and axes. The line path uses `d3.line()` with `curveNatural` interpolation to create flowing curves, while axes are custom React components that generate tick marks and labels. The chart applies a Poppins font and teal color scheme, with axis labels for "Quarters" and "Users (Million)".

NNithish John Paull

82% match

Loading thumbnail…

Fork of Line_Stroke_Death

This line chart visualizes the average life expectancy over time, plotting yearly data points connected by a smooth curved line. The chart uses D3 v5 APIs including `scaleLinear`, `scaleTime`, `axisLeft`, `axisBottom`, `line`, and `curveBasis` to render an SVG with labeled axes and a thick green stroke. The data is loaded from a CSV file hosted on GitHub, and the visualization includes grid lines and a rotated y-axis label.

VVAbhiram99

82% match

Loading thumbnail…

Fork of Line_Stroke_Death

This example shows a line chart of annual restaurant counts, plotting year against sales figures from a CSV dataset. The line uses a smooth basis curve, with orange styling and an 8-pixel stroke width. The visualization is built with D3 v5, using `scaleLinear` for both axes, `axisBottom` and `axisLeft` for ticks, and a `line` generator with `curveBasis`. The data is loaded via `d3.csv` from a GitHub Gist, and the chart includes labeled axes and a title.

Mmaheganesh

81% match

Loading thumbnail…

Fork of Fork of Fork of Line_Stroke_Death

This fork of Line_Stroke_Death shows restaurant sales counts over time, with a smooth green curve plotted on a scatter-free line chart. The visualization uses D3 v5 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and `line` with `curveBasis` to generate the SVG path. It loads CSV data from a GitHub gist, parses numeric fields, and renders axes with custom labels. The chart includes a title, rotated y-axis label, and styled stroke using the CSS class `.line-path`.

Mmaheganesh

81% match

Loading thumbnail…

Fork of Fork of Line Chart

This example visualizes Netflix subscriber areas by quarter using a single red line chart rendered as an SVG. The code uses d3.csv to load data from a GitHub gist and maps quarterly values to a time-based x-axis and a linear y-axis. d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.line generate the axes and path, with gridlines styled via tickSize. The visualization includes labeled axes and a title, with the line path styled through CSS.

Nnsatyaprakash22

81% match

Loading thumbnail…

Line Chart_ICE7

This line chart displays Netflix stock prices over time, using a time-scaled x-axis for years and a linear y-axis for price values. The visualization uses D3 v5 with SVG rendering, employing `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and a `line` generator to plot the data. The chart includes labeled axes, gridlines, and a title, with data loaded from a CSV file hosted on GitHub. The code formats dates using `d3.timeParse` and scales the price range from zero to the maximum value.

AAnanthulaaditya

79% match

Loading thumbnail…

Fork of Line_Stroke_Death

This fork of the Line_Stroke_Death example visualizes the cost of a car over time, plotting yearly data points connected by a smooth, orange curve. The chart uses D3.js v5 with a linear scale for both the x (Year) and y (Cost) axes, and employs d3.line with a curveBasis interpolator. Axis labels and gridlines are generated via d3.axisBottom and d3.axisLeft. The data is loaded from a CSV file hosted on GitHub Gist, and the final SVG render includes a titled plot with margins.

Vviswak12

78% match

Loading thumbnail…

Fork of Line_Stroke_Death

This example displays a line chart of average life expectancy over time, with yearly values plotted along the x-axis and the corresponding life expectancy on the y-axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scaleTime`, `axisBottom`, `axisLeft`, and a `line` generator with `curveBasis` for smooth interpolation. Data is loaded from a CSV file containing stroke-related statistics, and axes are annotated with labels and a title. The line is styled as a thick orange stroke within a margin-based layout.

Kkollirohit2000

78% match