By Q. Ethan McCallum
What's undesirable facts? a few humans think about it a technical phenomenon, like lacking values or malformed documents, yet undesirable facts encompasses a lot extra. during this guide, information specialist Q. Ethan McCallum has accrued 19 colleagues from each nook of the knowledge enviornment to bare how they've recovered from nasty facts problems.
From cranky garage to negative illustration to erroneous coverage, there are numerous paths to undesirable info. base line? undesirable facts is info that will get within the method. This e-book explains potent how you can get round it.
one of many issues coated, you'll realize how to:
attempt force your facts to determine if it's prepared for analysis
paintings spreadsheet information right into a usable form
deal with encoding difficulties that lurk in textual content data
increase a profitable web-scraping effort
Use NLP instruments to bare the genuine sentiment of on-line reviews
handle cloud computing matters that could effect your research effort
steer clear of regulations that create info research roadblocks
Take a scientific method of information caliber analysis
Read or Download Bad Data Handbook: Cleaning Up the Data So You Can Get Back to Work PDF
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Wireframe like a professional, the straightforward method
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This e-book is a step by step advisor to studying Balsamiq Mockups and wireframing often. Written in a fascinating, effortless to keep on with variety and movement, readers can make the most of unfastened, downloadable templates that educate by way of construction upon earlier chapters until eventually each one lesson is realized and utilized, making sure precise studying, not only memorization.
Who this booklet is written for
If you're enthusiastic about wireframing, designing and speaking your principles sincerely and quick, then this publication is for you.
EXOTIQUE provides 228 examples of remarkable personality paintings by means of 113 artists from 37 nations offered over 192 pages of the best quality construction. as well as exhilarating personality paintings, EXOTIQUE positive aspects the profiles of 8 admired personality artists operating in the electronic arts neighborhood with full-spread good points.
The number one wine book—now updated!
The artwork of winemaking could be a typical culture relationship again hundreds of thousands of years, yet this present day, wine is trendier and warmer than ever. Now, wine specialists and authors Ed McCarthy and Mary Ewing-Mulligan have revised their renowned Wine For Dummies to bring an up-to-date, down-to-earth examine what's in, what's out, and what's new in wine.
Wine fans and newcomers, bring up your glasses! the number one wine publication has been up-to-date! If you're a gourmand, Wine For Dummies gets you on top of things on what's in and assist you take your pastime to the following point. If you're new to the area of wine, it's going to clue you in on what you've been lacking and enable you to start. It starts off with the elemental sorts of wine, how wines are made, and extra. Then it will get right down to specifics, like navigating eating place wine lists, decoding wine labels, dislodging obdurate corks, and loads more.
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Up to date in a ninth variation, this top-selling, complete introductory public talking highlights and develops the subject of discovering Your Voice as a speaker and as anyone, supported through new pedagogy, various pattern pupil speeches, and considerably streamlined, reorganized content material throughout.
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Extra info for Bad Data Handbook: Cleaning Up the Data So You Can Get Back to Work
When schools start to let out in the spring, how much will traffic drop? Sites with large amounts of historical traffic data can build models (explicitly or implicitly via “tribal knowledge”), but what about a new site or a translation of an existing site? In order to address this, I tried using the publicly available Wikipedia logs to build a long-term, large-scale seasonality model for traffic in various languages. Wikipedia serves close to 500M pages per day, a bit more than half of them in English.
Figure 3-2. A plot of the data from Figure 3-1 The Problem: Data Formatted for Human Consumption | 33 Example 3-2. The data from Figure 3-1 rearranged so that all values for the same gender are next to each other Gender Female Female Female Male Male Male NCEA NCEA NCEA NCEA NCEA NCEA Level Level 1 Level 2 Level 3 Level 1 Level 2 Level 3 Year 11 0 0 0 5929 194 2 Year 12 60 58 0 6427 5395 128 Year 13 38 38 36 5170 5027 3276 Unfortunately, this sort of reuse of the data is severely hampered by the layout of the data within the spreadsheet.
Some of the labels that correspond to this number, “Male” and “Year 11”, are on the same row and column as the number, but even those are neither immediately adjacent to the number nor at some obvious limit location as the first row or first column in the spreadsheet. Figure 3-4. The data that corresponds to the top-left count in Figure 3-1 Given a data value, it is difficult to describe to software the location of the labels that are associated with that data value. To drive the point home, Example 3-3 shows how the data could be arranged so that the association between labels and data values is very straightforward.