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Confidence intervals & nice(r) display #18

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@VOvchinnikov VOvchinnikov force-pushed the confidence-intervals branch 12 times, most recently from a3d64fa to 8d57077 Compare September 2, 2019 17:13
@VOvchinnikov VOvchinnikov changed the title Merge into revenue DF -> Merge into users DF Confidence intervals & nice(r) display Sep 2, 2019
@VOvchinnikov VOvchinnikov force-pushed the confidence-intervals branch 2 times, most recently from e391d04 to 8ed49a9 Compare September 3, 2019 10:23
lib/helpers.py Outdated
@@ -213,7 +213,10 @@ def _extract_revenue_events(df, revenue_event):

@staticmethod
def _filter_by_user_ids(df, user_ids):
return df[df['user_id'].isin(user_ids)]
if 'user_id' in df.columns:

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When do we have a df that doesnt have the 'user_id' column?
Or is it meant to also be used in other places?

:param use_deduplication: Enable deduplication heuristic for AppsFlyer
of conversions (Default: false)
:param use_deduplication: Enable deduplication heuristic for AppsFlyer (Default: False)
:param confidence_level: Confidence level, required to calculate confidence intervals (Default: 0.95)

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Gotta check with Eugen regarding the default value of the confidence level.
95% is in line with our old significance tests, which is nice. But using 90% or maybe even less will make the CIs smaller and cause fewer tricky cases for the AMs to explain.

@gburanov
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it seems to be approved already, why is it in review column? I moved it

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4 participants