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perl workshop > courses > data mining and analysis at the command line (2.1.2.4)

course 2.1.2.4

Level: intermediate

Data Mining and Analysis at the Command Line

You don't need to write scripts extract information from text files. Nor do you always want to. This 4-week series will take Perl's idiom philosophy and apply it to getting things done at the prompt. Learn how to leverage standard UNIX tools to perform rapid data analysis without writing any code. We'll introduce a set of custom Perl scripts to add to your prompt toolbox - these have been designed to provide additional functionality, such as histogramming, random sampling, conditional line extraction and others.

lecture notes <

legend

course code

cat.course.level.sessions.session

e.g. 1.0.1.8

categories

0 | introduction and orientation

1 | perl fundamentals

2 | shell and prompt tools

3 | web development

4 | CPAN Modules

5 | Ruby

levels

level: all all ( 0 )

level: beginner beginner ( 1 )

level: intermediate intermediate ( 2 )

level: advanced advanced ( 3 )

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2.1.2.4 Data Mining and Analysis at the Command Line

course home

You don't need to write scripts extract information from text files. Nor do you always want to. This 4-week series will take Perl's idiom philosophy and apply it to getting things done at the prompt. Learn how to leverage standard UNIX tools to perform rapid data analysis without writing any code. We'll introduce a set of custom Perl scripts to add to your prompt toolbox - these have been designed to provide additional functionality, such as histogramming, random sampling, conditional line extraction and others.

Command-line data mining has its place - rapid data mining and analysis prototyping.

other in this category

2.0.0.3 | Introduction to Unix

2.2.2.2 | Prompt Tools

other by same level

1.1.2.8 | Intermediate Perl

1.2.2.1 | Effective use of map, sort and grep in Perl

2.2.2.2 | Prompt Tools

4.0.2.1 | Spans and Sets

4.1.2.2 | Random Numbers and Distributions

other by same instructor

Other courses by Martin Krzywinski.

0.0.0.1 | Orientation Session

0.1.0.1 | Two Problems

1.0.1.8 | Introduction to Perl

1.1.2.8 | Intermediate Perl

1.2.2.1 | Effective use of map, sort and grep in Perl

2.2.2.2 | Prompt Tools

4.0.2.1 | Spans and Sets

4.1.2.2 | Random Numbers and Distributions