Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/DESCRIPTION |
FileSize | 1757 |
MD5 | 4B04F9743E16EF8DD8AB003E6D17B500 |
SHA-1 | 199D30C503F5FF88A4E0F9A797574B8FB2BEE8D9 |
SHA-256 | 443102DAC13035BCEEC0BDF1E46A09266449BE5A0A1264304E6600C393946D39 |
SSDEEP | 48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9GG:ozhjEaewRFRR2jSUDvgG |
TLSH | T194319653AD4011B627468284AC614315E6A9C30FAFE53CBC7E0C57681F0C85EAAF987A |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | CA57116C07431A447B10F340B9B71EE4 |
PackageArch | x86_64 |
PackageDescription | Tools 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). |
PackageName | R-tidyr |
PackageRelease | 1.6 |
PackageVersion | 1.1.0 |
SHA-1 | D5E186C2D44EAC6AF3CEE6B59D037350278172D9 |
SHA-256 | 0CC3A52090783AE1EF5CA71B079742EB05AE986A52C97990877F27F71C661ADD |