How To Detect Outliers In Data Wrangling: Examples and Use Cases Outlier Detection: Detection of outliers is a very important part of the data wrangling process. Outliers are those values of an attribute which lie far off from the majority values present for that attribute
What is Data Wrangling? Data wrangling is the practice of converting and then plotting data from one “raw” form into another. The aim is to make it ready for downstream analytics. Often in charge of this is a data wrangler or a team of “mungers”. As any data analyst will
