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Fork of Fork of VizHub Cumulative Unique Logins

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PPRINCE KUMAR
Last edited Jun 4, 2023
Created on Jun 4, 2023

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.

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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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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Fork of VizHub Cumulative Unique Logins

This chart traces the cumulative number of unique VizHub users from its launch in August 2018 through April 2023, using an SVG line chart with points. It highlights key growth events, such as a medium post, the VizHub 2.0 Kickstarter, and the Datavis 2020 launch, through annotated labels. The data is loaded from a CSV file and rendered with d3.v4, using d3.scaleTime, d3.scaleLinear, d3.line, and d3-axis, with d3-svg-annotation providing the contextual notes.

RRashidi
95% match
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Fork of VizHub Cumulative Unique Logins

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.

PPRINCE KUMAR
95% match
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Fork of VizHub Cumulative Unique Logins

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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Fork of VizHub User Count Over Time

This line chart shows the growth in cumulative unique logged-in users of VizHub over time, from its launch in August 2018 through September 2021. The data is presented as a black line with individual data points, and annotated with notes highlighting key milestones such as the VizHub 1.0 release and a Kickstarter campaign. Built with D3 v4, the visualization uses `d3.scaleTime` and `d3.scaleLinear` for the axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `d3.line` to generate the path. SVG annotations from the `d3-svg-annotation` library add contextual labels.

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Fork of VizHub User Count Over Time

This line chart shows the growth in cumulative unique logged-in users of VizHub over time, from its launch in August 2018 through September 2021. The data is presented as a black line with individual data points, and annotated with notes highlighting key milestones such as the VizHub 1.0 release and a Kickstarter campaign. Built with D3 v4, the visualization uses `d3.scaleTime` and `d3.scaleLinear` for the axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `d3.line` to generate the path. SVG annotations from the `d3-svg-annotation` library add contextual labels.

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Fork of VizHub User Count Over Time

This chart shows the growth of unique logged-in VizHub users from its August 2018 launch through March 2022. A black line chart traces the cumulative user count over time, with annotated milestones like the VizHub 1.0 release, a Kickstarter for 2.0, and the Datavis 2020 launch. The code uses D3 v4’s `d3.line`, `d3.scaleTime`, and `d3.scaleLinear` to render SVG paths and circles, while `d3-svg-annotation` adds callout labels for key events. Data comes from a CSV file of date and user totals.

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Fork of VizHub User Count Over Time

This line chart shows the cumulative number of unique logged-in VizHub users over time, from the platform’s launch in August 2018 to March 2022. The visualization highlights key growth events, such as a Medium post, the VizHub 2.0 Kickstarter, and the Datavis 2020 course launch, using annotation labels. The chart is built with D3 v4, using `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, and `d3.axisBottom` and `d3.axisLeft` to render an SVG. Data comes from a local `users.csv` file, and gridlines are drawn via axis tick sizes.

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