Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/DESCRIPTION |
FileSize | 1757 |
MD5 | BB94726AB0FA5572A870679A0DA13D5F |
SHA-1 | 185B8DC2074B208C7730EF9DD5B95CD0CD3C869F |
SHA-256 | 965CE75400E9B8A02BE8959383F379A121009E4C11633F9CAB45FDA24F6B119A |
SSDEEP | 48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9G/:ozhjEaewRFRR2jSUDvg/ |
TLSH | T145319653AD4011B62786828568614315E6A9C30FAFE53CBC7E0C57681F0C85EAAF987A |
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 | 340E9589361EF1A1CDAA312BD38F94B7 |
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 | lp153.1.14 |
PackageVersion | 1.1.0 |
SHA-1 | 39FFA30F8F86D4343759896CEAB09F9718A00763 |
SHA-256 | FD5780B2DC354949C41001C8B3A5B1768768DBE9C5F17D7FE2F01BE961A0A248 |