Practical Data Cleaning
(eBook)

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Published
CSI Publishing, 2019.
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Available Online

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Format
eBook
Language
English
ISBN
9781386728863

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Citations

APA Citation, 7th Edition (style guide)

Lee Baker., & Lee Baker|AUTHOR. (2019). Practical Data Cleaning . CSI Publishing.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Lee Baker and Lee Baker|AUTHOR. 2019. Practical Data Cleaning. CSI Publishing.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Lee Baker and Lee Baker|AUTHOR. Practical Data Cleaning CSI Publishing, 2019.

MLA Citation, 9th Edition (style guide)

Lee Baker, and Lee Baker|AUTHOR. Practical Data Cleaning CSI Publishing, 2019.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID6ea83698-da6b-c612-0b04-90ee712b3ab3-eng
Full titlepractical data cleaning
Authorbaker lee
Grouping Categorybook
Last Update2022-10-18 21:40:45PM
Last Indexed2024-03-29 01:42:34AM

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Image Sourcehoopla
First LoadedJul 2, 2023
Last UsedJul 27, 2023

Hoopla Extract Information

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    [synopsis] => Data cleaning is a waste of time.
If the data had been collected properly in the first place there wouldn't be any cleaning to do, and you wouldn't now be faced with the prospect of weeks of cleaning to get your dataset analysis-ready.
Worse still, your boss won't understand why your analysis report isn't on his desk yet, a mere 48 hours after he's asked for it. Bless him, he doesn't understand – he thinks that cleaning data is just about clicking a few buttons in Excel and – ta da! – it's all done. Even a monkey can do that, right?
And – for good reason – you won't get any help from statistics books either. Data is messy and cleaning it can be difficult, time-consuming and costly. Not to mention it's the least sexy thing you can do with a dataset.

Yet you've still got to do it, because, well, someone has to…
But it doesn't have to be so difficult. If you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective.
Not to mention fun!
Well, not fun exactly, just not quite as coma-inducing.
Practical Data Cleaning (now in its 5th Edition!) explains the 19 most important tips about data cleaning with a focus on understanding your data, how to work with it, choose the right ways to analyse it, select the correct tools and how to interpret the results to get your data clean in double quick time.
Best of all, there is no technical jargon – it is written in plain English and is perfect for beginners!
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