This summary table provides information on each user. We get information here such as the first login/session time and some information useful for segmentation.
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.
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.
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.
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.
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.
# Get a preview of the `user_summary` dataset
# with the 'preview' size option
user_summary(size = "preview")
#> # A tibble: 200 × 6
#> player_id first_login start_day country acquisition device_name
#> <chr> <dttm> <date> <chr> <chr> <chr>
#> 1 YMKOHGVFZWLJ8… 2015-01-01 01:45:33 2015-01-01 United… organic Samsung Ga…
#> 2 SBPFOHCVMNQI5… 2015-01-01 10:13:16 2015-01-01 Japan apple Sony Exper…
#> 3 DLCKJEZRSIGW5… 2015-01-02 14:16:25 2015-01-02 United… organic Sony Exper…
#> 4 IGOFAEVXNTUW4… 2015-01-03 06:25:51 2015-01-03 India organic Samsung Ga…
#> 5 RNWFDZOSQPMB1… 2015-01-03 07:14:57 2015-01-03 Switze… google Sony Exper…
#> 6 SOBKUJPREVCZ8… 2015-01-03 09:15:56 2015-01-03 China apple iPad mini
#> 7 LKCUQHXDRWAZ1… 2015-01-03 09:29:00 2015-01-03 China facebook 2nd Gen iP…
#> 8 TDRXCWIOZEYM2… 2015-01-03 12:58:30 2015-01-03 Denmark other_camp… 3rd Gen iP…
#> 9 NKBLRWVXIYJZ8… 2015-01-04 00:01:14 2015-01-04 Hong K… apple Sony Exper…
#> 10 IYOPSWCHJBRA4… 2015-01-04 02:16:15 2015-01-04 South … google 4th Gen iP…
#> # ℹ 190 more rows