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Retentioneering tools for user trajectories analysis
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examples new example Nov 14, 2019
retentioneering
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README.md

Retentioneering

Framework and Tools for user trajectories analysis.

To start use our package, please, see the documentation

Installation

Python and Jupyter

Firstly, you need to install python and Jupyter. We supports only python 3. For quick start better to install Anaconda.

Python package

  • You can install our package using pip.
pip3 install retentioneering
  • Or directly from source

    git clone path-to-our-rep.git
    cd retentioneering-framework
    python3 setup.py install --user

Introduction

It's better to start with this things to understand Retentioneering.

First steps

Configuration, preparing your data graph basics.

Temporal funnel

Also known as Step Matrix.

Clustering

Clutermap, TSNE projections, target events in clustering, cluster graphs.

Supervised classifier

Supervised learning, sklearn-api.

Mobile application cases

In this example we will perform an analysis for the app focusing on investigation why people remove app.

Analysis

Step matrix and clustering.

Predict application remove

Documentation

Packages and Subpackages

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