Leanpub book download extrapolation

100%

Leanpub book download extrapolation

✓ Published0🌍 Public

Last edited Nov 30, 2019

Created on Jul 12, 2014

This visualization tracks the cumulative download counts of nine Leanpub books over time, using a multi-line chart to compare their popularity. The graph displays the extrapolated data, allowing viewers to hover and observe when one book’s download total surpasses another. The visualization is built with the D3.js library, using its `d3.time.scale`, `d3.scale.linear`, and `d3.svg.line` APIs to render the axes and lines. The CSV data is parsed and plotted, with each book represented by a distinct colored line, and the chart includes interactive tooltips for precise values.

AI-generated description

A graph of the rate of download of some of the books in the top downloads category of Leanpub.

The data is extrapolated to allow the mouse move tooltip to determine when certain events (like one book overhauling another) will occur.

You will probably want to open it in full screen :-).

mit Licensed

Similar vizzes

Loading thumbnail…

Super Leanpub Extrapolation

A multi-line chart tracks the daily sales ranks of nine Leanpub books over several months, plotting cumulative book counts on the y-axis against time on the x-axis. Distinct stroke colors differentiate each book, revealing relative popularity trends, including one book’s rapid rise. The visualization uses D3.js (v3) with `d3.svg.line` and basis interpolation to smooth paths, paired with `d3.time.scale` for the date axis. Data comes from a CSV file of daily snapshots, rendered as SVG with axis and gridline styling via CSS.

Dd3noob

88% match

Loading thumbnail…

Leanpub Book Download Scatterplot

This visualization plots every download of the book D3 Tips and Tricks from January 2013 to March 2015, with the date on the x-axis and time of day on the y-axis. Points are aggregated into 10-minute blocks, with larger circles indicating multiple downloads at the same time. The main scatterplot is complemented by line graphs showing daily download totals and time-of-day distribution. The code uses D3.js (version 3.5) with `d3.nest`, `d3.time.scale`, `d3.svg.axis`, and `d3.bisector` for data aggregation, interactivity, and the secondary charts.

Dd3noob

80% match

Loading thumbnail…

Simple Difference Chart v7

This difference chart visualizes the daily change in cumulative downloads for two Leanpub books, "R Programming for Data Science" and "The Elements of Data Analytic Style," from April to June 2015. The SVG rendering uses D3 v7 APIs including `d3.csv`, `d3.group`, `d3.timeParse`, `d3.scaleTime`, and `d3.scaleLinear` to compute and display the difference between the two series. The area between the lines is shaded orange or green depending on which book has higher daily gains, with dark green and red lines for the individual series. Data originates from the `downloads.csv` file, showing daily download totals.

Dd3noob

77% match

Loading thumbnail…

Simple Difference Chart v6

This visualization compares the daily change in downloads for two Leanpub books, "R Programming for Data Science" and "The Elements of Data Analytic Style," using a difference chart. It shows the difference between the two series over time, with areas above and below the baseline indicating which book had a higher daily increase. The chart uses D3 v6 with `d3.select`, `d3.group`, and the `d3.area` API for area and line rendering in SVG. Data is loaded from a CSV file, and the y-axis is fixed at 0–1400.

Dd3noob

75% match

Loading thumbnail…

Simple Difference Chart v4

This example shows the daily difference in downloads between two Leanpub books, “R Programming for Data Science” and “The Elements of Data Analytic Style,” over several weeks. The chart uses a filled area with two clips to highlight when one book’s sales exceed the other, with green and orange regions above and below a baseline. It is built with D3 v4, using `d3.area` with `d3.curveBasis`, `d3.scaleTime`, `d3.scaleLinear`, and SVG rendering. Data comes from a CSV file and is transformed with `d3.nest` and `d3.timeParse`.

Dd3noob

74% match

Loading thumbnail…

Full Difference Chart v5

This example visualizes the daily difference in Leanpub book downloads between "R Programming for Data Science" and "The Elements of Data Analytic Style" from April to June 2015. The chart uses filled areas above and below a baseline to show which book has more daily sales, overlaid with two distinct line series for each book. Built with d3.v5 and rendered as SVG, the code uses `d3.area`, `d3.curveBasis`, `d3.nest`, and `d3.scaleTime`/`d3.scaleLinear`. Data is loaded from a CSV file via `d3.csv`.

Dd3noob

73% match

Loading thumbnail…

Simple Difference Chart

A simple difference chart visualizes the daily change in Leanpub book downloads for two titles, "Science" versus "Style," from April to June 2015. The chart uses D3.js version 3.5.5 with SVG rendering, employing `d3.svg.area` and `d3.svg.line` to show two time-series lines and a filled region indicating the difference between them. The data is loaded from a CSV file using `d3.csv`, then restructured with `d3.nest` to compute daily differences. The area is colored differently above and below zero using clip paths.

Dd3noob

73% match

Loading thumbnail…

Simple Difference Chart v5

This difference chart shows the daily change in Leanpub book sales for two titles, “R Programming for Data Science” and “The Elements of Data Analytic Style,” over time. The difference between the two series is filled in with orange above zero and green below zero, using clipped areas. The code uses D3 v5’s APIs including `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.area`, and `d3.nest` to structure the CSV data. The chart renders as an SVG, with lines for each series drawn via `d3.area` and `d3.curveBasis`.

Dd3noob

73% match