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Clean data : save time by discovering effortless strategies for cleaning, organizing, and manipulating your data /

If you are a data scientist of any level, beginners included, and interested in cleaning up your data, this is the book for you! Experience with Python or PHP is assumed, but no previous knowledge of data cleaning is needed.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Squire, Megan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo

MARC

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049 |a UAMI 
100 1 |a Squire, Megan,  |e author. 
245 1 0 |a Clean data :  |b save time by discovering effortless strategies for cleaning, organizing, and manipulating your data /  |c Megan Squire. 
246 3 0 |a Save time by discovering effortless strategies for cleaning, organizing, and manipulating your data 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
490 1 |a Community experience distilled 
588 0 |a Online resource; title from cover (Safari, viewed June 10, 2015). 
500 |a Includes index. 
505 0 |a ""Cover ""; ""Copyright""; ""Credits""; ""About the Author""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: Why Do You Need Clean Data?""; ""A fresh perspective""; ""The data science process""; ""Communicating about data cleaning""; ""Our data cleaning environment""; ""An introductory example""; ""Summary""; ""Chapter 2: Fundamentals â€? Formats, Types, and Encodings""; ""File formats""; ""Text files versus binary files""; ""Opening and reading files""; ""Peeking inside files""; ""Common formats for text files""; ""The delimited format"" 
505 8 |a Seeing invisible charactersEnclosing values to trap errant characters -- Escaping characters -- The JSON format -- The HTML format -- Archiving and compression -- Archive files -- tar -- Compressed files -- How to compress files -- How to uncompress files -- Which compression program should I use? -- Data types, nulls, and encodings -- Data types -- Numeric data -- Dates and time -- Strings -- Other data types -- Converting between data types -- Data loss -- Strategies for conversion -- Type conversion at the SQL level 
505 8 |a ""Type conversion at the file level""""If a null falls in a forestâ€?""; ""Zero""; ""Empties""; ""Null""; ""Character encodings""; ""Example one â€? finding multibyte characters in MySQL data""; ""Example two â€? finding the UTF-8 and Latin-1 equivalents of Unicode characters stored in MySQL""; ""Example three â€? handling UTF-8 encoding at the file level""; ""Summary""; ""Chapter 3: Workhorses of Clean Data â€? Spreadsheets and Text Editors""; ""Spreadsheet data cleaning""; ""Text to columns in Excel""; ""Splitting strings""; ""Concatenating strings"" 
505 8 |a ""Conditional formatting to find unusual values""""Sorting to find unusual values""; ""Importing spreadsheet data into MySQL""; ""Text editor data cleaning""; ""Text tweaking""; ""The column mode""; ""Heavy duty find and replace""; ""A word of caution""; ""Text sorting and processing duplicates""; ""Process Lines Containing""; ""An example project""; ""Step one â€? state the problem""; ""Step two â€? data collection""; ""Download the data""; ""Get familiar with the data""; ""Step three â€? data cleaning""; ""Extracting relevant lines""; ""Transform the lines""; ""Step four â€? data analysis"" 
505 8 |a ""Summary""""Chapter 4: Speaking the Lingua Franca â€? Data Conversions""; ""Quick tool-based conversions""; ""Spreadsheet to CSV""; ""Spreadsheet to JSON""; ""Step one â€? publish Google spreadsheet to the Web""; ""Step two â€? create the correct URL""; ""SQL to CSV or JSON using phpMyAdmin""; ""Converting with PHP""; ""SQL to JSON using PHP""; ""SQL to CSV using PHP""; ""JSON to CSV using PHP""; ""CSV to JSON using PHP""; ""Converting with Python""; ""CSV to JSON using Python""; ""CSV to JSON using csvkit""; ""Python JSON to CSV""; ""The example project"" 
520 |a If you are a data scientist of any level, beginners included, and interested in cleaning up your data, this is the book for you! Experience with Python or PHP is assumed, but no previous knowledge of data cleaning is needed. 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Electronic data processing  |x Data preparation. 
650 0 |a Data editing. 
650 0 |a Quality control. 
650 2 |a Quality Control 
650 6 |a Préparation des données (Informatique) 
650 6 |a Édition (Informatique) 
650 6 |a Qualité  |x Contrôle. 
650 7 |a quality control.  |2 aat 
650 7 |a REFERENCE  |x Questions & Answers.  |2 bisacsh 
650 7 |a Data editing  |2 fast 
650 7 |a Electronic data processing  |x Data preparation  |2 fast 
650 7 |a Quality control  |2 fast 
776 0 8 |i Print version:  |a Squire, Megan.  |t Clean data : save time by discovering effortless strategies for cleaning, organizing, and manipulating your data.  |d Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015  |h 245 pages  |z 9781785284014 
830 0 |a Community experience distilled. 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=996715  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH28639871 
938 |a EBSCOhost  |b EBSC  |n 996715 
938 |a YBP Library Services  |b YANK  |n 12452535 
994 |a 92  |b IZTAP