Daily users playing Super Jetroid — users

This summary table provides daily totals for every player that had at least one login/session in a day. We get measures such as daily sessions, time played, number of IAPs bought and ads viewed, revenue gained, progression info, and some segmentation categories.

users_daily(
  size = c("small", "medium", "large", "xlarge", "preview"),
  quality = c("perfect", "faulty"),
  type = c("tibble", "data.frame", "duckdb", "csv"),
  keep = FALSE
)

Arguments

size: A keyword that allows getting different variants of the table based on the size of player base. The default "small" table has the lowest number of players/records. Increasing in size, we can also opt for the "medium", "large", or "xlarge" versions.
quality: The data quality level of the returned dataset. There are two options: (1) "perfect" provides a pristine table with no errors at all and (2) "faulty" gives you a table with a multitude of errors.
type: The table return type. By default, this is a "tibble" but a "data.frame" can instead be returned if using that keyword. If you have the duckdb package installed, you can instead obtain the table as an in-memory DuckDB database table.
keep: Should the downloaded data be stored on disk in the working directory? By default, this is FALSE. If the file is available in the next invocation then the data won't be downloaded again.

Value

A data table object, which could be a tibble (tbl_df) a data frame, or an in-memory DuckDB table (tbl_dbi). If a CSV is written then TRUE will be invisibly returned.

Examples


# Get a preview of the `users_daily` dataset
# with the 'preview' size option
users_daily(size = "preview")
#> # A tibble: 200 × 23
#>    player_id       login_date sessions_day playtime_day n_iap_day n_ads_day
#>    <chr>           <date>            <int>        <dbl>     <int>     <int>
#>  1 SBPFOHCVMNQI568 2015-01-01            1         34.9         1         4
#>  2 YMKOHGVFZWLJ836 2015-01-01            2         44.3         2         5
#>  3 DLCKJEZRSIGW561 2015-01-02            1          5.4         1         1
#>  4 SBPFOHCVMNQI568 2015-01-02            2         56.2         2         6
#>  5 IGOFAEVXNTUW479 2015-01-03            1         27.8         0         5
#>  6 LKCUQHXDRWAZ134 2015-01-03            1         22.3         1         3
#>  7 RNWFDZOSQPMB164 2015-01-03            1         10.1         1         2
#>  8 SBPFOHCVMNQI568 2015-01-03            2         32           1         2
#>  9 SOBKUJPREVCZ874 2015-01-03            1          8.5         1         1
#> 10 TDRXCWIOZEYM241 2015-01-03            2         37.3         1         5
#> # ℹ 190 more rows
#> # ℹ 17 more variables: rev_iap_day <dbl>, rev_ads_day <dbl>, rev_all_day <dbl>,
#> #   start_day <date>, sessions_total <int>, playtime_total <dbl>,
#> #   level_reached <dbl>, in_ftue <lgl>, at_eoc <lgl>, is_customer <lgl>,
#> #   n_iap_total <int>, n_ads_total <int>, rev_iap_total <dbl>,
#> #   rev_ads_total <dbl>, rev_all_total <dbl>, country <chr>, acquisition <chr>