Download Clean Data - Data Science Strategies for Tackling Dirty Data by Megan Squire PDF

By Megan Squire

ISBN-10: 1785284010

ISBN-13: 9781785284014

Key Features

  • Grow your info technological know-how services via filling your toolbox with confirmed ideas for a wide selection of cleansing challenges
  • Familiarize your self with the the most important information cleansing strategies, and percentage your personal fresh information units with others
  • Complete real-world tasks utilizing facts from Twitter and Stack Overflow

Book Description

Is a lot of it slow spent doing tedious initiatives akin to cleansing soiled info, accounting for misplaced information, and getting ready info for use by way of others? if that is so, then having the correct instruments makes a severe distinction, and may be an outstanding funding as you develop your info technological know-how expertise.

The publication begins by way of highlighting the significance of information cleansing in information technology, and should assist you achieve rewards from reforming your cleansing procedure. subsequent, you'll cement your wisdom of the fundamental ideas that the remainder of the booklet depends on: dossier codecs, facts kinds, and personality encodings. additionally, you will find out how to extract and fresh facts kept in RDBMS, internet documents, and PDF records, via useful examples.

At the top of the publication, you'll be given an opportunity to take on a few real-world projects.

What you are going to learn

  • Understand the position of knowledge cleansing within the total facts technological know-how process
  • Learn the fundamentals of dossier codecs, info forms, and personality encodings to wash information properly
  • Master severe positive factors of the spreadsheet and textual content editor for organizing and manipulating data
  • Convert facts from one universal structure to a different, together with JSON, CSV, and a few special-purpose formats
  • Implement 3 diversified concepts for parsing and cleansing info present in HTML records at the Web
  • Reveal the mysteries of PDF records and pull out simply the information you want
  • Develop a number of recommendations for detecting and cleansing undesirable information saved in an RDBMS
  • Create your personal fresh facts units that may be packaged, authorized, and shared with others
  • Use the instruments from this e-book to accomplish real-world tasks utilizing info from Twitter and Stack Overflow

About the Author

Megan Squire is a professor of computing sciences at Elon college. She has been gathering and cleansing soiled information for 2 many years. She is additionally the chief of, a examine venture to assemble facts and study it so as to find out how loose, libre, and open resource software program is made.

Table of Contents

  1. Why do you want fresh Data?
  2. Fundamentals codecs, varieties, and Encodings
  3. Workhorses of fresh info Spreadsheets and textual content Editors
  4. Speaking the Lingua Franca information Conversions
  5. Collecting and cleansing information from the Web
  6. Cleaning facts in Pdf Files
  7. RDBMS cleansing Techniques
  8. Best Practices for Sharing Your fresh Data
  9. Stack Overflow Project
  10. Twitter Project

Show description

Read or Download Clean Data - Data Science Strategies for Tackling Dirty Data PDF

Best python books

Learning Python: Powerful Object-Oriented Programming (4th Edition)

Google and YouTube use Python simply because it's hugely adaptable, effortless to take care of, and allows speedy improvement. to be able to write high quality, effective code that's simply built-in with different languages and instruments, this hands-on ebook can assist you be efficient with Python fast -- even if you're new to programming or simply new to Python.

Real Python: An Introduction to Python Through Practical Examples

An publication to educate programming via hands-on, fascinating examples which are precious and fun!

Python is a smart programming language. It's loose, robust, more uncomplicated to learn than such a lot languages, and has extensions on hand to do nearly something you may think automatically.

But how do you certainly use it? There are a whole lot assets available in the market for studying Python, yet none of them are very useful or attention-grabbing - as a substitute, they move over each one thought one after the other, by no means tying whatever jointly, yet spending lots of time misplaced in technical language, discussing the twenty alternative ways to complete each one uncomplicated activity. ..

I are looking to write an booklet that at last offers a concise creation to every little thing chances are you'll really are looking to do with Python.

We'll begin with a brief yet thorough evaluate of all of the fundamentals, so that you don't even desire any earlier event with programming. however the majority of the ebook can be spent build up instance code to unravel fascinating real-world problems.

Python is astounding for automating repetitive initiatives that would differently take you hours - for example, quick collecting facts from the net, or renaming thousands of documents. a number of the themes that I'm making plans to cover:

Collecting info from webpages (web scraping)
Interacting with PDF records - interpreting facts, developing PDFs, enhancing pages, including passwords. ..
Interacting with Excel documents (less performance in OS X)
Calling different outdoor courses from inside Python
Files - read/write/modify, unzip, rename, flow, etc.
Basic video game development
Interacting with SQL databases (internal and ODBC connections)
GUI (Graphical consumer Interface) layout - growing uncomplicated point-and-click courses that anybody can use
Any different subject matters that you simply, my backers, are such a lot in!
Update: through renowned call for, I'll be including net program development

All comparable path fabrics downloadable at: http://www. psychotix. com/share/Real_Python. zip

Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms explains the Python method of set of rules research and layout.

Written via Magnus Lie Hetland, writer of starting Python, this publication is sharply considering classical algorithms, however it additionally provides a pretty good realizing of primary algorithmic problem-solving recommendations.

The booklet offers with the most very important and not easy parts of programming and computing device technology, yet in a hugely pedagogic and readable manner.

The ebook covers either algorithmic conception and programming perform, demonstrating how idea is mirrored in genuine Python programs.

Well-known algorithms and knowledge constructions which are equipped into the Python language are defined, and the person is proven how you can enforce and overview others himself.

Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing

Primary checking out methodologies utilized to the preferred Python language

Testing Python; utilising Unit checking out, TDD, BDD and recognition trying out is the main complete e-book to be had on trying out for one of many best software program programming languages on this planet. Python is a usual selection for brand spanking new and skilled builders, and this hands-on source is a far wanted advisor to enterprise-level checking out improvement methodologies. The booklet will convey you why Unit trying out and TDD may end up in purifier, extra versatile programs.

Unit trying out and Test-Driven improvement (TDD) are more and more must-have abilities for software program builders, it doesn't matter what language they paintings in. In company settings, it's serious for builders to make sure they continuously have operating code, and that's what makes trying out methodologies so beautiful. This e-book will train you the main ordinary checking out ideas and should introduce to you to nonetheless others, masking functionality checking out, non-stop trying out, and more.

Learn Unit checking out and TDD—important improvement methodologies that lie on the center of Agile development
Enhance your skill to paintings with Python to boost strong, versatile functions with fresh code
Draw at the services of writer David Sale, a number one united kingdom developer and tech commentator
Get sooner than the group by means of studying the underappreciated global of Python testing
Knowledge of software program checking out in Python may set you except Python builders utilizing outdated methodologies. Python is a ordinary healthy for TDD and trying out Python is a must-read textual content for a person who desires to enhance services in Python programming.

Extra info for Clean Data - Data Science Strategies for Tackling Dirty Data

Example text

For instance, here are a few common ways of writing the same date: • 11-23-14 • 11-23-2014 • 23-11-2014 • 2014-11-23 • 23-Nov-14 • November 23, 2014 • 23 November 2014 • Nov. 23, 2014 Regardless of our preference for writing dates, a complete date is made up of three parts: month, day, and year. Any date should be able to be parsed into these component parts. Areas of confusion with dates are usually in two areas: lack of clarity about the month signifier and a day signifier for numbers below 12, and confusion about specifying years.

We will definitely find the answer to this question. You might also want to compress your data when you share it with others. How can you figure out which compression method is the best choice? Archive files An archive file is simply a single file that contains many files inside it. The files inside can be either text or binary or a mixture of both. Archive files are created by a special program that takes a list of files and changes them into a single file. Of course, the archive files are created in such a way that they can be expanded back into many files.

Any date should be able to be parsed into these component parts. Areas of confusion with dates are usually in two areas: lack of clarity about the month signifier and a day signifier for numbers below 12, and confusion about specifying years. For example, if we only see "11-23", we can assume November 23, as there is no month abbreviated "23", but what year is it? If we see a date of "11-12", is that the 12th of November or the 11th of December? And in what year? Does a year of 38 signify 1938 or 2038?

Download PDF sample

Rated 4.89 of 5 – based on 35 votes