distinct_events

.data

time_col

the name of the user identifying column

user_col

the type of after_join ("first-first", "first-firstafter", etc.)

type

Time-based joins to analyze sequence of events,
both in memory and out of memory. after_join() joins two
tables of events, while funnel_start() and funnel_step()
join events in the same table. With the type argument, you
can switch between different funnel types, like first-first
and last-firstafter.

Emily Robinson

funneljoin

Time-Based Joins to Analyze Sequences of Events

Anthony Baker

David Robinson

distinct_events function

<dl><dt>.data</dt>
<dd>a dataset, either local or remote</dd>
<dt>time_col</dt>
<dd>the name of the time column</dd>
<dt>user_col</dt>
<dd>the name of the user identifying column</dd>
<dt>type</dt>
<dd>the type of after_join ("first-first", "first-firstafter", etc.)</dd></dl>

Arguments

Distinct events — distinct_events

<dl>

<dt>.data</dt>
<dd>a dataset, either local or remote</dd>


<dt>time_col</dt>
<dd>the name of the time column</dd>


<dt>user_col</dt>
<dd>the name of the user identifying column</dd>


<dt>type</dt>
<dd>the type of after_join ("first-first", "first-firstafter", etc.)</dd>

</dl>

distinct_events: Distinct events

Description

Usage

Arguments