user_summary_dd

The <code>user_summary_dd()</code> function generates a data dictionary based on the
<code>user_summary</code> table.

Four datasets are provided here from the 'Intendo' game
'Super Jetroid'. It is data from the 2015 year of operation and it comprises
a revenue table ('all_revenue'), a daily users table ('users_daily'), a user
summary table ('user_summary'), and a table with data on all user sessions
('all_sessions'). These core datasets come in different sizes, and, each of
them has a variant that was intentionally made faulty (totally riddled with
errors and inconsistencies). This suite of tables is useful for testing with
packages that focus on data validation and data documentation.

Richard Iannone

intendo

A Group of Fun Datasets of Various Sizes and Differing Levels of
Quality

user_summary_dd function

<dl><dt>size</dt>
<dd>A keyword that allows getting different variants of the table
based on the size of player base. The default <code>"small"</code> table has the
lowest number of players/records. Increasing in size, we can also opt for
the <code>"medium"</code>, <code>"large"</code>, or <code>"xlarge"</code> versions.</dd>
<dt>quality</dt>
<dd>The data quality level of the returned dataset. There are two
options: (1) <code>"perfect"</code> provides a pristine table with no errors at all
and (2) <code>"faulty"</code> gives you a table with a multitude of errors.</dd>
<dt>type</dt>
<dd>The table return type. By default, this is a <code>"tibble"</code> but a
<code>"data.frame"</code> 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.</dd></dl>

Arguments

Data Dictionary for user_summary — user_summary_dd

<dl>

<dt>size</dt>
<dd>A keyword that allows getting different variants of the table
based on the size of player base. The default <code>"small"</code> table has the
lowest number of players/records. Increasing in size, we can also opt for
the <code>"medium"</code>, <code>"large"</code>, or <code>"xlarge"</code> versions.</dd>


<dt>quality</dt>
<dd>The data quality level of the returned dataset. There are two
options: (1) <code>"perfect"</code> provides a pristine table with no errors at all
and (2) <code>"faulty"</code> gives you a table with a multitude of errors.</dd>


<dt>type</dt>
<dd>The table return type. By default, this is a <code>"tibble"</code> but a
<code>"data.frame"</code> 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.</dd>

</dl>

user_summary_dd: Data Dictionary for `user_summary`

Description

Usage

Value

Arguments

Examples