What is bad data? Some people considerit a technical phenomenon, like missing values or malformed records, but baddata includes a lot more. In this handbook, data expert Q. Ethan McCallum hasgathered 19 colleagues from every corner of the data arena to reveal howthey’ve recovered from nasty data problems.
From cranky storage to poorrepresentation to misguided policy, there are many paths to bad data. Bottom line?Bad data is data that gets in the way. This book explainseffective ways to get around it.
Among the many topics covered, you’lldiscover 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
