DPLYR . TIDYVERSE . ORG {
}
Title:
Keep distinct/unique rows — distinct • dplyr
Description:
Keep only unique/distinct rows from a data frame. This is similar to unique.data.frame() but considerably faster.
Website Age:
8 years and 10 months (reg. 2016-08-23).
Matching Content Categories {📚}
- Virtual Reality
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Content Management System {📝}
What CMS is dplyr.tidyverse.org built with?
Custom-built
No common CMS systems were detected on Dplyr.tidyverse.org, but we identified it was custom coded using Bootstrap (CSS).
Traffic Estimate {📈}
What is the average monthly size of dplyr.tidyverse.org audience?
🚀 Good Traffic: 50k - 100k visitors per month
Based on our best estimate, this website will receive around 50,019 visitors per month in the current month.
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How Does Dplyr.tidyverse.org Make Money? {💸}
We see no obvious way the site makes money.
The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Dplyr.tidyverse.org could be getting rich in stealth mode, or the way it's monetizing isn't detectable.
Keywords {🔍}
data, tibble, frame, int, methods, variables, true, rows, keepall, distinct, distinctdf, brown, dbl, blue, white, light, arguments, columns, groups, chr, red, dplyr, usage, dbplyr, combination, row, preserved, omitted, modified, packages, examples, sample, rep, nrowdistinctdf, computed, diff, fair, yellow, distinctness, skip, content, started, reference, articles, news, distinctunique, source, rdistinctr, uniquedistinct, similar,
Topics {✒️}
distinct/unique rows source grouped data frames tidy-select distinct page usage arguments data frame extension lazy data frame data frame attributes unique/distinct rows computed variables distinct multiple rows usage distinct data frame considerably faster determining uniqueness calls mutate provide implementations extra arguments diff = abs hadley wickham romain françois lionel henry kirill müller davis vaughan site built select columns rep = true keep_all = false content dplyr 1 individual methods loaded packages computes distinctness keep_all = true rows unique frame data /distinct arguments distinct df computed `distinct variables true keep_all methods packages dplyr distinctness tibble
External Links {🔗}(26)
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Libraries {📚}
- Bootstrap
- Clipboard.js
- FontAwesome
- jQuery
- Plyr