Lectures1-CourseOverview-2up

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Statistics 133: Concepts in Computing with Data Instructor: Dr. Cari Kaufman cgk@stat.berkeley.edu GSI: Nathan Boley nboley@berkeley.edu 1 What Are Data? 2
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Numbers Example: TrafFc on I-80 3 Dates, Times, Locations Example: ±light information 4
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Text Example: SPAM or HAM? 5 Images, video, or audio Example: Radiohead “House of Cards” video Lidar and GeoVideo used to create 3-dimensional images without lights or cameras. 6
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Meta-data Example: Shelters along the Applachian trail 7 Getting Started with R 8
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Why use R? Some of you may have used statistical software with a GUI, like Minitab or SPSS. You may also be familiar with other programming languages, like C, Java, Python, etc. In this class, we’ll use the R programming language and environment as our “home base” for performing many data analytic tasks. Some beneFts of R: Allows custom analyses and easy replicability High level language designed for statistics
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Unformatted text preview: Active user community, lots of add-ons Its free! 9 A screenshot from http://www.R-project.org / 10 R can be run in interactive or batch modes. The interactive mode is useful for trying out new analyses and making sure your code is doing what you think it is. The batch mode is useful for carrying out pre-deFned analyses in the background. or now, well focus on the interactive mode. When you Fre up R, youll see a prompt, like this: 11 At the prompt, you can type an expression . An expression is a combination of letters/numbers/symbols which are interpreted by a particular programming language according to its rules. It then returns a value. We can also say it evaluates to that value. > 3 + 5 [1] 8 > 1:20 [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 [14] 14 15 16 17 18 19 20 > > # This is a comment > > 30 + 10 / # I'm not done typing + 2 [1] 35 12...
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This note was uploaded on 05/04/2011 for the course BUS 103 taught by Professor Opp during the Fall '10 term at University of California, Berkeley.

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