How to Detect Outliers in Data Wrangling: Examples and Use Cases Outliers is the term that strikes your mind whenever you speak about analyzing data. If you are planning to inspect any task to examine data sets, you can make assumptions about the methods used to produce
What is Data Wrangling? Data wrangling, also known as data blending or data remediation, 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
