Result for 32A7F152B3F74D70E9288782D29D84374291E8BF

Query result

Key Value
FileName./usr/lib/R/library/tidyr/DESCRIPTION
FileSize1755
MD5995E631E3228EAFD40CE9B0910DBE6D7
SHA-132A7F152B3F74D70E9288782D29D84374291E8BF
SHA-256A8C60B21B8AF17D30A0F33B8B98A491E4987BD8400D06A5262319CA43EA60829
SSDEEP48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9G3:ozhjEaewRFRR2jSUDvg3
TLSHT101319653BD4011B72786C28468624315EAA9C31FAFE57CBC7E0C17681F0C45DEAF987A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5F075059904438F36E808828A1FCEAE04
PackageArchi586
PackageDescriptionTools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageNameR-tidyr
PackageRelease1.48
PackageVersion1.1.0
SHA-1E4D15983BE3F724B8A4B7A022D677FCA9B1DCDC9
SHA-25636AF0A6BEE16523EBA2A4DCE6735B1F0F45D6325067B0F316B89B3FA5A8ED729