Effective Data Wrangling and Exploration with R by Fru Kingsly
Requirements: .ePUB reader, 4 MB
Overview: Data wrangling is one of the most important steps in data science and analytics, for it is claimed that it takes between 80% to 90% of an analyst’s time. Data wrangling goes by many names including data munging, data manipulation, data preparation and data transformations. Just as there are many names to data wrangling, there are also many definitions to it. Below we look at two of the most important ones:
TRIFACTA which is a leading provider of data wrangling software by the same name defines data wrangling as:
“Data wrangling is the process of cleaning, structuring and enriching raw data into a desired format for better decision making in less time”.
Genre: Non-Fiction > Tech & Devices
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