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DPLYR PACKAGES
Presented by:
KARTHICK .S (19MSS020)
IIIrd Msc Software Systems
DEFINITION:
The dplyr package in R Programming Language is a structure of data manipulation that
provides a uniform set of verbs, helping to resolve the most frequent data manipulation
hurdles.
The dplyr Package in R performs the steps given below quicker and in an easier
fashion:
● By limiting the choices the focus can now be more on data manipulation difficulties.
● There are uncomplicated “verbs”, functions present for tackling every common data
manipulation and the thoughts can be translated into code faster.
● There are valuable backends and hence waiting time for the computer reduces.
Important Verb Functions
dplyr package provides various important functions that can be used for Data Manipulation.
These are:
● filter() Function: For choosing cases and using their values as a base for doing so.
● arrange(): For reordering of the cases.
● select() and rename(): For choosing variables and using their names as a base for
doing so.
●summarise(): Condensing various values to one value.
THANK YOU

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Dplyr packages

  • 1. DPLYR PACKAGES Presented by: KARTHICK .S (19MSS020) IIIrd Msc Software Systems
  • 2. DEFINITION: The dplyr package in R Programming Language is a structure of data manipulation that provides a uniform set of verbs, helping to resolve the most frequent data manipulation hurdles.
  • 3. The dplyr Package in R performs the steps given below quicker and in an easier fashion: ● By limiting the choices the focus can now be more on data manipulation difficulties. ● There are uncomplicated “verbs”, functions present for tackling every common data manipulation and the thoughts can be translated into code faster. ● There are valuable backends and hence waiting time for the computer reduces.
  • 4. Important Verb Functions dplyr package provides various important functions that can be used for Data Manipulation. These are: ● filter() Function: For choosing cases and using their values as a base for doing so. ● arrange(): For reordering of the cases. ● select() and rename(): For choosing variables and using their names as a base for doing so. ●summarise(): Condensing various values to one value.