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/mutate-joins.html.

Title:
Mutating joins — mutate-joins • dplyr
Description:
Mutating joins add columns from y to x, matching observations based on the keys. There are four mutating joins: the inner join, and the three outer joins. Inner join An inner_join() only keeps observations from x that have a matching key in y. The most important property of an inner join is that unmatched rows in either input are not included in the result. This means that generally inner joins are not appropriate in most analyses, because it is too easy to lose observations. Outer joins The three outer joins keep observations that appear in at least one of the data frames: A left_join() keeps all observations in x. A right_join() keeps all observations in y. A full_join() keeps all observations in x and y.
Website Age:
8 years and 10 months (reg. 2016-08-23).

Matching Content Categories {📚}

  • Dating & Relationships
  • Family & Parenting
  • Music

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.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Dplyr.tidyverse.org Make Money? {💸}

We find it hard to spot revenue streams.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Dplyr.tidyverse.org has a revenue plan, but it's either invisible or we haven't found it.

Keywords {🔍}

relationship, joins, chr, join, rows, null, manytomany, row, keys, unmatched, multiple, match, beatles, tibble, matches, columns, joining, guitar, copy, false, default, suffix, result, data, dataframe, variables, returns, relationships, john, paul, observations, methods, true, output, bandmembers, joinbyname, band, plays, bass, dplyr, namatches, joinby, inequality, detected, warning, leftjoindf, joinbyx, innerjoin, key, leftjoin,

Topics {✒️}

incomparables = na potentially expensive operation == artist accidentally dropping rows variable names differ na joined duplicate variables named character vector simple equality joins lazy data frames rolling joins follow preemptively set relationship matching observations based output columns include data frame extensions join specification created potentially drop rows join usage arguments matches multiple rows drops unmatched keys nan values match output columns included mutating joins frame' right_join frame' full_join data source variable names examples developed character vector column names frame' left_join matching key inequality retain inequality conditions nan values equality joins typically surprising multiple matches usage inner_join equality retain equality expression key columns key columns multiple expressions multiple handling data frames outer joins overlap joins full joins left joins

Questions {❓}

  • How should unmatched keys that would result in dropped rows be handled?
  • See the documentation at ?
  • Should the join keys from both x and y be preserved in the output?
  • Should two NA or two NaN values match?

External Links {🔗}(23)

Libraries {📚}

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

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