Here's how STATA2R.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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STATA2R . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Stata2r.github.io Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links

We are analyzing https://stata2r.github.io/data_table/.

Title:
Data wrangling with data.table | stata2R
Description:
No description found...
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Technology & Computing
  • Telecommunications
  • Dating & Relationships

Content Management System {📝}

What CMS is stata2r.github.io built with?

Website use Astro v4.5.10.

Traffic Estimate {📈}

What is the average monthly size of stata2r.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 19 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 Stata2r.github.io Make Money? {💸}

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

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. Stata2r.github.io might be earning cash quietly, but we haven't detected the monetization method.

Keywords {🔍}

dat, dataset, datatable, month, origin, data, gen, collapse, merge, replace, dest, stata, rows, columns, youll, airtime, arrdelay, reshape, dont, day, carrier, drop, variables, examples, reminder, set, distance, date, note, byorigin, clear, depdelay, lapplysd, meandepdelay, subset, long, operations, reassign, datasets, files, original, preserverestore, create, rename, modify, calculations, import, bysort, multiple, delay,

Topics {✒️}

io/rdatasets/csv/nycflights13/airports roll='nearest'] previous intro integer] subset rows table/master/vignettes/flights14 magnitude performance difference reshape wide delay_ generate row ids air-traffic dataset big data tasks rds storage format rock-solid api valuable speed boost nest simulations inside reshape reshape prep data wrangling task merge id variables surprisingly common problem subset specific data types united airlines forward total monthly flights requires extra steps required multiple commands _doesn't_ require = distancedist_sq] create replace empty foreach = _n gen prep secondary dataset perfectly valid data dat1 = dat[origin=='lga'] modify columns order agnostic direct stata equivalents mimic stata-style good stata equivalents proprietary—data types reshaped columns assume generic datasets keeping multiple datasets 1st quarter flights 2nd quarter flights order dat[ real-life dataset columns reminder date variable dat[ reshaped-long data special shortcut symbols complex objects inside anti merge key means ordering

Questions {❓}

2.49s.