Tools to Make Data Cleaning Easier

Cleaning, wrangling, munging, preparation, validation, ETL, transformation, ELT… these are all different names for “making data more useful.” Whether you’re doing one-off analysis, scheduled reports analytics, or integrating two different data systems or applications, when you work with data, data cleaning is an important part of almost all data processes. Data cleaning is taking data as-is and changing the content, structure or format to be more useful. Removing blank rows and deleting invalid addresses are examples of data cleaning. Data cleaning can be the most laborious part of a data analysis project. At Inciter, we use tools to streamline the process and save us hours of tedious work.There are a seemingly endless number of tools to assist in the process of data cleaning. Some of them can only be used...