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A simple example to show value of good data preparation for analytics

effect of outliers in analytics

There are 6 important questions one needs to ask before launching a predictive analytics project. One of the first questions is about data preparation. It is important to prepare good quality data and rushing through this important step can sometimes generate meaningless results. This is an area of building analytics competency that many beginners are aware of, but tend to get carried away by the vast array of modeling options and jump right in to build models!

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