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Perspectives on Data Science for Software Engineering
book

Perspectives on Data Science for Software Engineering

by Tim Menzies, Laurie Williams, Thomas Zimmermann
July 2016
Beginner to intermediate
408 pages
10h 58m
English
Morgan Kaufmann
Content preview from Perspectives on Data Science for Software Engineering

Parse that data! Practical tips for preparing your raw data for analysis

P. Guo    University of Rochester, Rochester, NY, United States

Abstract

Data analysis is a central task in the workflow of data scientists, researchers, software engineers, business analysts, and just about every professional who needs to work with data. The first mundane step in data analysis is preparing raw data, which can originate from a diverse variety of sources such as:

• logs from a web server,

• outputs from a scientific instrument,

• exported data from an online survey,

• data dump from a 1970s government database, or

• reports prepared by external consultants.

Keywords

Raw data; Data munging; Data wrangling; Data parsers; Assertions; Set data; Counter data; ...

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Publisher Resources

ISBN: 9780128042618