What Is Data Wrangling?
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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 vouch for, this is where you get your hands “dirty” before getting on with the actual analytics with its models and visual dashboards. Data wrangling encompasses all the work done on your data prior to the actual analysis. It includes aspects such as weighing data quality and data context and then converting the data into the required format. Data wrangling is sometimes called to as data munging, data cleansing, data scrubbing, data cleaning, or data remediation.
