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CONVERSION LETTER (*APPLICABLE TO PENSIONERS ONLY)Place: ___ Date: ___ The Branch Head, J&K Green Bank, B. O:.___Sir, With reference to the Bridging Loan of Rs.___ (Rupees___) sanctioned by the bank

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How to fill out reshaping data with tidyr

01

Load the tidyr library in R by using library(tidyr)

02

Use the gather() function to reshape data from wide to long format

03

Specify the key and value columns in the gather() function

04

Use spread() function to reshape data from long to wide format

05

Specify the key and value columns in the spread() function

Who needs reshaping data with tidyr?

01

Data analysts who want to clean and tidy up messy datasets

02

Researchers who need to organize and transform their data for analysis

03

Anyone working with large datasets that need to be reshaped for visualization or modeling

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What is reshaping data with tidyr?

Reshaping data with tidyr is a process of restructuring data into a more organized format.

Who is required to file reshaping data with tidyr?

Anyone working with messy data that needs to be cleaned and organized may use tidyr for reshaping data.

How to fill out reshaping data with tidyr?

To fill out reshaping data with tidyr, one can use functions like gather(), spread(), separate(), and unite().

What is the purpose of reshaping data with tidyr?

The purpose of reshaping data with tidyr is to make data manipulation easier and more efficient.

What information must be reported on reshaping data with tidyr?

Information such as variable names, values, and the structure of the data must be reported when reshaping data with tidyr.

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