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/group_by.html.

Title:
Group by one or more variables — group_by • dplyr
Description:
Most data operations are done on groups defined by variables. group_by() takes an existing tbl and converts it into a grouped tbl where operations are performed "by group". ungroup() removes grouping.
Website Age:
8 years and 10 months (reg. 2016-08-23).

Matching Content Categories {📚}

  • Social Networks
  • Non-Profit & Charity
  • Mobile Technology & AI

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 don't see any clear sign of profit-making.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Dplyr.tidyverse.org might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

dbl, groups, data, tibble, grouping, add, cyl, groupby, grouped, disp, dplyr, drop, methods, locale, bycyl, existing, tbl, ungroup, false, frame, true, mtcars, mpg, drat, qsec, gear, carb, groupbyvs, group, variables, computations, mutate, variable, summarise, call, rows, byvs, hpcut, performed, arguments, dbplyr, step, default, argument, set, columns, ordering, ordered, summarisen, int,

Topics {✒️}

update existing code generating content intended previously called add grouped operation matters page usage arguments disp == max data frame extension lazy data frame global option dplyr ungrouped data frame override existing groups cyl explicitly call arrange grouped data frame hp_cut = cut grouping columns disp = disp existing tbl character vectors hp = hp examples developed removing grouping previously grouped grouped operation existing groups drop = false usage group_by drop = group_by_drop_default removes grouping grouping functions content dplyr 1 grouped tbl grouped output add yields data frame prevented creating naming conventions provide implementations extra arguments internally orders ascending order html table temporarily revert future version force calls hadley wickham romain françois lionel henry

Questions {❓}

  • Drop groups formed by factor levels that don't appear in the data?

External Links {🔗}(26)

Libraries {📚}

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

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