Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Databases
Năm:2012
In lần thứ:1
Ngôn ngữ:english
Trang:264
What is bad data? Some people consider it a technical phenomenon, like
missing values or malformed records, but bad data includes a lot more.
In this handbook, data expert Q. Ethan McCallum has gathered 19
colleagues from every corner of the data arena to reveal how they’ve
recovered from nasty data problems.From cranky storage to poor
representation to misguided policy, there are many paths to bad data.
Bottom line? Bad data is data that gets in the way. This book explains
effective ways to get around it.Among the many topics covered, you’ll
discover how to:Test drive your data to see if it’s ready for analysis
Work spreadsheet data into a usable form Handle encoding problems that
lurk in text data Develop a successful web-scraping effort Use NLP tools
to reveal the real sentiment of online reviews Address cloud computing
issues that can impact your analysis effort Avoid policies that create
data analysis roadblocks Take a systematic approach to data quality
analysis
