Here's how DPLYR.TIDYVERSE.ORG makes money* and how much!

*Please read our disclaimer before using our estimates.
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DPLYR . TIDYVERSE . ORG {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Dplyr.tidyverse.org Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links
  10. Libraries

We are analyzing https://dplyr.tidyverse.org/reference/filter-joins.html.

Title:
Filtering joins โ€” filter-joins โ€ข dplyr
Description:
Filtering joins filter rows from x based on the presence or absence of matches in y: semi_join() return all rows from x with a match in y. anti_join() return all rows from x without a match in y.
Website Age:
8 years and 10 months (reg. 2016-08-23).

Matching Content Categories {๐Ÿ“š}

  • Dating & Relationships
  • Social Networks
  • Sports

Content Management System {๐Ÿ“}

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 {๐Ÿ“ˆ}

What is the average monthly size of dplyr.tidyverse.org audience?

๐Ÿš€ Good Traffic: 50k - 100k visitors per month


Based on our best estimate, this website will receive around 50,589 visitors per month in the current month.

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How Does Dplyr.tidyverse.org Make Money? {๐Ÿ’ธ}

We see no obvious way the site makes money.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Dplyr.tidyverse.org has a secret sauce for making money, but we can't detect it yet.

Keywords {๐Ÿ”}

joins, join, match, methods, copy, variables, chr, null, data, joinby, rows, false, dataframe, tibble, names, values, beatles, dplyr, filtering, namatches, arguments, dbplyr, specification, character, vector, perform, message, joinbya, variable, crossjoin, nan, bandmembers, joining, joinbyname, band, source, semijoin, return, antijoin, usage, semijoinx, method, class, cna, antijoinx, frames, frame, details, default, suppress,

Topics {โœ’๏ธ}

potentially expensive operation simple equality joins named character vector lazy data frames variable names differ page usage arguments data frame extensions data frame attributes join specification created nan values match data source frame' anti_join character vector data frames variable names nan values usage semi_join column names class 'data multiple expressions overlap joins parameters passed database sources provide implementations extra arguments mutate-joins good practice production code hadley wickham romain franรงois lionel henry kirill mรผller davis vaughan site built frame' semi_join copy = false natural join cross-join join tables loaded packages examples developed content dplyr 1 message lists multiple variables perform inequality incomparables = na individual methods filtering anti_join joining variables

Questions {โ“}

  • See the documentation at ?
  • Should two NA or two NaN values match?

Libraries {๐Ÿ“š}

  • Bootstrap
  • Clipboard.js
  • FontAwesome
  • jQuery
  • Plyr

2.78s.