By Trevor Burnham
English | 2012 | 104 pages | EPUB | three MB
The thoughts within the ebook are illustrated with runnable examples drawn from either the browser and the Node.js server framework, incorporating complementary libraries together with jQuery, Backbone.js, and Async.js. You’ll how one can create dynamic web content and hugely concurrent servers via studying the artwork of dispensing occasions to the place they should be dealt with, instead of nesting callbacks inside of callbacks inside of callbacks.
What you need
Table of Contents
Chapter 2. allotting Events
Chapter three. can provide and Deferreds
Chapter four. move keep watch over with Async.js
Chapter five. Multithreading with Workers
Chapter 6. Async Script Loading
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9. For more information about using colors, see Chapter 12. 5. Coloring Negative and Positive Bars Differently Problem You want to use different colors for negative and positive-valued bars. Solution We’ll use a subset of the climate data and create a new column called pos, which indi‐ cates whether the value is positive or negative: library(gcookbook) # For the data set csub <- subset(climate, Source=="Berkeley" & Year >= 1900) csub$pos <- csub$Anomaly10y >= 0 csub Source Berkeley Berkeley Berkeley ...
Frame': 6 obs. 4, p. 270" ggplot(BOD, aes(x=Time, y=demand)) + geom_bar(stat="identity") # Convert Time to a discrete (categorical) variable with factor() ggplot(BOD, aes(x=factor(Time), y=demand)) + geom_bar(stat="identity") 20 | Chapter 3: Bar Graphs Figure 3-2. Left: bar graph of values (with stat="identity”) with a continuous x-axis; right: with x variable converted to a factor (notice that the space for 6 is gone) In these examples, the data has a column for x values and another for y values.
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