Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/DESCRIPTION |
FileSize | 1757 |
MD5 | 264B53525EE8CD72C20E09C82F083DA4 |
SHA-1 | 3848CDF7700C48AE18594D7DBB77618DB4B357C2 |
SHA-256 | 7FD3F2D744C4C2E5895B51F049E584DB78C45506E53A7B5E43C1BCB9E065CF66 |
SSDEEP | 48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9GPX:ozhjEaewRFRR2jSUDvgP |
TLSH | T169319653AD4011B62746828468614315E6A9C30FAFE53CBC7E0C57681F0C46EAAF987A |
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 | A0EC689A7D2789356D137EECF45A0447 |
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 | 1.20 |
PackageVersion | 1.1.0 |
SHA-1 | B2D62C26E1D96BF45C4A5715CA524CD6E43CB6DC |
SHA-256 | 716A23B0293ABD96711804937F5BDDD9CE39E7DA0950156712EDFC1457EBC482 |