A cohort analysis workflow that groups users who share a starting point, such as registration week or acquisition channel, and compares what happens to each group later. Cohort analysis is used to study differences in retention, conversion, customer value, or repeat purchases over time.
A complete analysis of conversion: the percentage of people who move from a starting action, such as visiting, to a target action, such as registering, buying, or paying.
A business-intelligence analysis workflow for observing a metric, detecting unusual changes, and investigating their causes across dimensions such as channel, product, or customer group. Business intelligence means using data to understand how a business is performing.
A workflow for measuring user retention, meaning how many users return or repeat a chosen activity after an initial event such as registration or first use.
Builds end-to-end predictive modeling pipelines on tabular datasets—data exploration, preprocessing, baseline modeling, and mandatory optimization—producing valid saved predictions in the required output format. Use for any supervised machine learning or data modeling task, including classification and regression on…
Computes a numeric or categorical answer to a quantitative data-science question by cleaning and analyzing local data files (CSV, Excel, TSV, and scientific formats .npz/.fits/.h5) with pandas, numpy, and scipy. Use whenever a task ships its own dataset (in whatever local directory it provides) and asks you to derive…
A workflow that turns a plain-language request for business data into a database query, runs it in a data warehouse or lake, and returns the results for analysis.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: