<p>Data cleaning is a waste of time.</p><p>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.</p><p>Worse still, your boss won't understand why your
Data Cleaning. A Practical Perspective
โ Scribed by Venkatesh Ganti, Anish Das Sarma
- Publisher
- Morgan & Claypool
- Year
- 2013
- Tongue
- English
- Leaves
- 72
- Series
- Synthesis Lectures on Data Management
- Category
- Library
No coin nor oath required. For personal study only.
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Technological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. They are often complex,
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Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and pres
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