Full Difference Chart v6

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`.

93% match

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.

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.

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`.

Full Difference Chart v7

This visualization compares daily download changes for two Leanpub books, Science and Style, highlighting when one outsells the other. It uses a difference chart where the area between the two lines is filled with distinct colors—orange when Science is above Style and green when Style leads. The data comes from a CSV file and is rendered as SVG using D3 v7. The code uses `d3.area`, `d3.scaleTime`, and `d3.axisBottom` to construct the chart, with clip paths separating the above and below regions.

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.

89% match

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`.

89% match