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TN VizHub Cumulative Unique Logins

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TToly
Last edited Jan 30, 2023
Created on Jan 30, 2023

This visualization shows the cumulative growth in unique VizHub users from launch in August 2018 through January 2023, plotted as a line chart with annotated milestones like the VizHub 1.0 medium post and 2.0 Kickstarter. The SVG chart is built with D3 v4, using d3.scaleTime and d3.scaleLinear for axes, d3.line for the path, and d3-svg-annotation to add contextual labels. Each data point is marked with a circle, and user counts come from a CSV file with date entries.

AI-generated description

The number of total unique logged in VizHub users over time, since it was launched on August 14, 2018.

See also index of courses.

Also, there are

  • 71,126 vizzes as of 11/28/22
  • 72,095 vizzes as of 12/21/22
MIT Licensed

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VizHub Cumulative Unique Logins

This line chart shows the cumulative number of unique logged-in VizHub users over time, from the platform’s launch in August 2018 through late 2023. The y-axis tracks total users, while the x-axis represents time, with each data point from the CSV marked by a small circle and a connecting line. The visualization uses d3.v4 with SVG rendering, employing d3.scaleTime and d3.scaleLinear for axes, d3.line for the path, and d3-svg-annotation to label four notable growth events, such as the VizHub 2.0 Kickstarter and the Datavis 2020 launch.

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This chart shows the cumulative number of unique VizHub users over time, from the platform’s launch in August 2018 to April 2023. The data is plotted as a single line with circles marking each logged data point, and annotated with notable events like the VizHub 1.0 medium post and the Datavis 2020 launch. The visualization uses d3.line and d3.scaleTime for the x-axis, d3.scaleLinear for the y-axis, and d3-svg-annotation to add the event labels. Data comes from a static CSV file, rendered as an SVG.

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This line chart shows the cumulative number of unique VizHub users from its launch in August 2018 through April 2023. The y-axis represents total users, while the x-axis shows time. The visualization uses D3 v4, with `d3.scaleTime` and `d3.scaleLinear` for axes and `d3.line` for the path. Annotations mark significant growth events, such as the VizHub 1.0 medium post and the Datavis 2020 launch. Data comes from a CSV file with date and user count pairs.

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Fork of Fork of VizHub Cumulative Unique Logins

This visualization tracks the cumulative total of unique logged-in VizHub users over time, from the platform’s launch in August 2018 through April 2023. A black line chart with small circles for each data point shows steady growth, with annotations labeling key milestones like the VizHub 1.0 medium post, the 2.0 Kickstarter, and the Datavis 2020 launch. The code uses d3.v4 with d3.scaleTime, d3.scaleLinear, d3.line, and d3.axisBottom/axisLeft, rendering to SVG, and includes d3-svg-annotation for the labeled callouts.

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This chart shows the cumulative growth of unique VizHub users over time, from the platform’s launch in August 2018 through April 2023, marked with annotations for key milestones like the VizHub 1.0 release and the 2.0 Kickstarter. The data is loaded from a CSV file and plotted as a line with individual data points in an SVG rendered by D3 v4. The code uses `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line`, with annotations added via the d3-svg-annotation library.

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