Here's how ATREBAS.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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ATREBAS . GITHUB . IO {}

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

We are analyzing https://atrebas.github.io/post/2019-03-03-datatable-dplyr/.

Title:
A data.table and dplyr tour Β· Home
Description:
No description found...
Website Age:
12 years and 4 months (reg. 2013-03-08).

Matching Content Categories {πŸ“š}

  • Graphic Design
  • Social Networks
  • Education

Content Management System {πŸ“}

What CMS is atrebas.github.io built with?

Custom-built

No common CMS systems were detected on Atrebas.github.io, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of atrebas.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 76 visitors per month in the current month.

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How Does Atrebas.github.io Make Money? {πŸ’Έ}

We can't see how the site brings in money.

Not every website is profit-driven; some are created to spread information or serve as an online presence. Websites can be made for many reasons. This could be one of them. Atrebas.github.io could be secretly minting cash, but we can't detect the process.

Keywords {πŸ”}

datatable, sumv, columns, rows, cols, groupbyv, dplyr, data, returns, column, true, select, functions, selectdf, keys, summarise, group, matching, sdcols, lapplysd, filterdf, vector, filter, indices, list, null, roll, join, expression, summarisesumv, modify, operations, set, code, key, dtv, multiple, values, slice, expressions, tibble, function, row, package, summarisedf, consistency, nomatch, file, variable, read,

Topics {βœ’οΈ}

add/update/delete columns tab-delimited file fwrite sort rows based fills bind rows decreasing order dt[order join passing columns write list-column data join matching rows advanced columns manipulation list handle list-columns coding style improved https urls directly sort rows multiple columns setkey bind rows rbind bind columns base remove keys/indices setkey automatic secondary indexing filter rows efficiently dplyr cheat sheet pass complex expressions context dependent expressions perform β€˜overlap joins select/exclude columns vroom write data multiple keys/indices dt[ manipulate multiple columns basic user basic knowledge observation carried forward observation carried backward 'numerous' matching values filter rows based csv file fwrite nested query dt[ ad hoc subsets matching rows dt[ offers additional functions find values lying join operations vectorised ifelse statements option difference fsetdiff magrittr pipe operator column assignment symbol unmatched values dt[ complex expression dt[ dplyr workflow relies operating system commands fast subsetting approach table includes functions

Questions {❓}

  • # see ?
  • DT[V2 %inrange% list(-1:1, 1:3)] # see also ?
  • Cols <- grep("^(?
  • Rleid(rep(c("a", "b", "a"), each = 3)) # see also ?

Libraries {πŸ“š}

  • jQuery
  • Plyr

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