Simple Difference Chart

100%

Simple Difference Chart

✓ Published0🌍 Public

Last edited Aug 2, 2019

Created on Aug 2, 2019

This simple difference chart visualizes daily download counts for two books—R Programming for Data Science and The Elements of Data Analytic Style—from April to June 2015. It uses an SVG line chart with an area between the two series, shaded green where one book has more downloads and orange where the other leads, making the comparative difference visually explicit. The chart includes labeled axes and a legend, and is implemented with D3 v3, based on a block by Mike Bostock and adapted from D3 Tips and Tricks.

AI-generated description

The graph above shows a simple example of a difference chart used as an example in the book D3 Tips and Tricks. It is based on the difference chart example produced by Mike Bostock.

The graph shows the difference in the number of daily downloads between R Programming for Data Science by Roger Peng and The Elements of Data Analytic Style by Jeff Leek

There is an explanation of the code available in D3 Tips and Tricks

forked from <a href='http://bl.ocks.org/d3noob/'>d3noob</a>'s block: <a href='http://bl.ocks.org/d3noob/8beea1d918ff4104f9ab'>Simple Difference Chart</a>

mit Licensed

Similar vizzes

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

92% 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

90% 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

89% 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

89% 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

89% 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

88% match

Loading thumbnail…

Full Difference Chart v6

A full difference chart compares the daily Leanpub download counts for two books, R Programming for Data Science and The Elements of Data Analytic Style, by computing the difference in their daily sales over a two-month period. The chart uses stacked area segments, colored orange and green, to highlight when one book outsells the other, along with two overlaid line curves for each book’s daily change. Built with D3 v6, it loads CSV data via `d3.csv`, groups entries by date, and creates areas using `d3.area` with clipping paths, while axes use `d3.axisBottom` and `d3.axisLeft`.

Dd3noob

86% match

Loading thumbnail…

Full Difference Chart Example

This chart visualizes the difference in daily Leanpub book sales between two titles, “Science vs Style,” using an area graph with color-coded regions (orange for above, green for below) to highlight performance gaps. It renders via D3.js (version 3.5.6) with SVG, employing time and linear scales, area and line interpolations, and clip paths to delineate the positive and negative differences. Data from `downloads.csv` is parsed, grouped by date, and transformed to compute daily deltas, with axes and a legend providing context. The visualization is an example from the book *D3 Tips and Tricks* by d3noob.

Dd3noob

85% match