Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.

listings\ch02_lst1.py
........\ch02_lst2.py
........\ch02_lst3.py
........\ch02_lst4.py
........\ch03_lst1.py
........\ch04_lst1.py
........\ch07_lst1.c
........\ch07_lst2.c
........\ch09_lst1.py
........\ch12_lst1.py
........\ch12_lst2.py
........\ch12_lst3.py
........\ch12_lst4.py
........\ch12_lst5.py
........\ch12_lst6.py
........\ch13_lst1.py
........\ch13_lst2.py
........\ch15_lst1.py
........\ch16_lst1.py
........\ch16_lst2.py
........\ch17_lst1.py
........\ch18_lst1.py
........\ch18_lst2.py
datasets\ch02_customerlist
........\ch02_gaussianqq
........\ch02_pareto
........\ch02_presidents
........\ch02_sales
........\ch02_serverdata
........\ch02_smallhisto
........\ch03_allometricscaling
........\ch03_anscombesquartet
........\ch03_logscale
........\ch04_movingavg
........\ch05_composition
........\ch05_coplot
........\ch05_mosaic
........\ch05_vectors
........\ch09_visitors
........\ch10_people
........\ch12_bootstrap
........\ch13_bananas
........\ch13_crossed
........\ch13_happycase
........\ch13_smiley
........\ch13_uniform
........\ch13_workshop
........\PUBLIC_DATASETS
listings
datasets

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