1 Notation and conventions 9 1.0.1 Background Information........................................................................ 10
1.1 Acknowledgements................................................................................................. 11 I Describing Datasets
; 12 2 First Tools for Looking at Data 13
2.1 Datasets....................................................................................
................................... 13 2.2 What's Happening? - Plotting Data................................................................. 15 2.2.1 Bar
2.2.2 Histograms................................................................................................... 16
2.2.3 How to Make Histograms...................................................................... 17
2.2.4 Conditional Histograms.......................................................................... 19
2.3 Summarizing 1D Data.................................
........................................................... 19 2.3.1 The Mean...................................................................................................... 20
2.3.2 Standard Deviation................................................................................... 22 2.3.3 Computing Mean and Standard Deviation Online...................... 26
2.3.4 Variance......................................................................................................... 26
2.3.5 The Median.................................................................................................. 27
2.3.6 Interqu
artile Range.................................................................................. 29 2.3.7 Using Summaries Sensibly.................................................................... 30
2.4 Plots and Summaries............................................................................................. 31
2.4.1 Some Properties of Histograms.......................................................... 31 2.4.2 Standard Coordinates and Normal Data......................................... 34
2.4.3 Box Plots....................................................................................................... 38
2.5 Whose is bigger? Inves
tigating Australian Pizzas...................................... 39 2.6 You should.................................................................................................................. 43
2.6.1 remember these definitions: ................................................................. 43
2.6.2 remember these terms............................................................................ 43
2.6.3 remember these facts: ............................................................................. 43
2.6.4 be able to...................................................................................................... 43
3 Looking at Relationships
47 3.1 Plotting 2D Data...................................................................................................... 47
3.1.1
About the Author: David Alexander Forsyth is Fulton Watson Copp Chair in Computer Science at the University of Illinois at Urbana-Champaign, where he is a leading researcher in computer vision.
Professor Forsyth has regularly served as a program or general chair for the top conferences in computer vision, and has just finished a second term as Editor-in-Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence.
A Fellow of the ACM (2014) and IEEE (2009), Forsyth has also been recognized with the IEEE Computer Society's Technical Achievement Award (2005), the Marr Prize, and a prize for best paper in cognitive computer vision (ECCV 2002). Many of his former students are famous in their own right as academics or industry leaders.
He is the co-author with Jean Ponce of Computer Vision: A Modern Approach (2002; 2011), published in four languages, and a leading textbook on the topic.Among a variety of odd hobbies, he is
a compulsive diver, certified up to normoxic trimix level.
