Processing Text Columns Made Easy: Splitting & Pattern Extraction
Spending hours preparing tabular data by splitting and extracting patterns from text columns? Perform these tasks easily with 5 new actions in the...
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Spending hours preparing tabular data by splitting and extracting patterns from text columns? Perform these tasks easily with 5 new actions in the...
Guide on using the tools in the AI & Analytics Engine for working with complex and nested data types, such as nested JSON arrays in a simple manner.
Occasionally we would need to change a value from one data type to another and this article explains why and how we do so when we cast data types.
70-80% of a data scientist's time might be spent on data cleaning and wrangling. What if you could automate the data cleaning & wrangling process?
Data wrangling, also referred to as data munging is the process of converting and mapping data from one raw data form into another format.
Data cleaning, also referred to as data cleansing and data scrubbing is one of the most important steps in quality decision-making