Fork of VizHub User Count Over Time

Fork of VizHub User Count Over Time

This line chart shows the growth of VizHub users from its August 2018 launch through April 2021, with annotations highlighting key events like the VizHub 1.0 Medium post, the 2.0 Kickstarter, the Datavis 2020 course launch, and the Sort by Popular feature. The visualization uses d3.line with d3.scaleTime and d3.scaleLinear, rendering SVG circles for each data point and gridlines via d3.axisBottom and d3.axisLeft. The d3-svg-annotation library adds contextual labels, while the data comes from users.csv.

DDasbach.EJ

Fork of VizHub User Count Over Time

This line chart shows the cumulative number of VizHub users over time, from its launch in August 2018 through mid-2021. The visualization uses d3.v4 with an SVG rendering approach, employing date and user count data from a CSV file. Annotations created with d3-svg-annotation highlight notable growth events, such as the VizHub 2.0 Kickstarter and a data visualization course launch. The chart includes both a line and semi-transparent purple circles for each data point, with a time scale on the x-axis and a linear scale for user counts on the y-axis.

Yyapster47

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.

Ppreethamkesa

Fork of VizHub User Count Over Time

This visualization shows the growth of VizHub's user base over time, from its launch in August 2018 to March 2021, using a line chart with circular data points. The chart incorporates annotated labels marking key milestones, such as the VizHub 1.0 release, a Kickstarter campaign, and the launch of a Datavis 2020 course, which correlate with visible upticks in users. The code builds an SVG using d3.v4, with d3.scaleTime and d3.scaleLinear for axes, d3.line for the path, and d3-svg-annotation for the callout labels. Data comes from a CSV file parsed with d3.csv.

Aape-ape-ape

Fork of VizHub User Count Over Time

This line chart shows the growth of VizHub users over time, with a steady upward trend punctuated by a notably steeper rise around the late 2020 period. The visualization uses d3.v4 with SVG rendering, employing d3.scaleTime and d3.scaleLinear for axes, and d3.line to draw the path. Data points are marked with circles, and an annotation from d3-svg-annotation highlights a surge labeled "Datavis 2020 Launch." The x-axis represents time while the y-axis counts users, with gridlines and axis labels styled via CSS.

DDasbach.EJ

Fork of VizHub User Count Over Time

This line chart shows the cumulative number of VizHub users over time, from August 2018 to January 2021, with annotated events like the VizHub 1.0 medium post, the 2.0 Kickstarter, and the Datavis 2020 launch. The visualization uses D3 v4’s `d3.scaleTime`, `d3.scaleLinear`, `d3.line` with a monotone curve, and `d3.axisBottom`/`d3.axisLeft` for axes. Circles mark each data point, while `d3.svg.annotation` from the d3-svg-annotation package adds contextual labels. Data is loaded from a local CSV with date and user count columns, rendered as an SVG with grid lines.

Aall-over-yet

Fork of VizHub User Count Over Time

This visualization shows the growth in VizHub user count over time since the platform’s launch on August 14, 2018, with annotated milestones such as the VizHub 1.0 medium post, the 2.0 Kickstarter, and the Datavis 2020 launch. The chart maps dates to users using `d3.scaleTime` and `d3.scaleLinear`, rendering the data with `d3.line` and SVG circles. Annotations are added via the `d3-svg-annotation` library to highlight specific events. The SVG canvas is resized dynamically, and axes use custom tick formatting with gridlines.

MMesum Raza Hemani

Fork of VizHub Count Over Time

This line chart shows the cumulative growth of registered VizHub users from August 2018 to March 2022. The visualization uses d3.v4 with SVG rendering, a time-scaled x-axis and linear y-axis, and includes annotated notes marking significant events like the VizHub 1.0 launch and a Kickstarter campaign. Data comes from a CSV file with date and user count columns, and the chart employs d3.line and d3.axisBottom/axisLeft for the plot and axes.

Eeravellisaimeghana