the source code of the COOL system

A web application to find patients, build cohorts and visualize health records

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

A Snakemake workflow to process single samples or cohorts of Illumina paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.

Cohort graph (Cohort Analysis)

Flowchart is a STATA module/package that generates publication-quality Subject Disposition Flowchart Diagrams in LaTeX Format. This package generates PGF/TikZ code through texdoc, compiled in LaTeX to produce the diagram as a PDF. The final diagram is the same in style as ones used in the PRISMA Statement, CONSORT 2010 Statement, or STROBE State…

Custom Cohort Visualization based on Kibana NP

Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.

NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity

An R package for easy cohort analysis with event data

The fastest way to make sense of a transaction log.

Deciphering Bitcoin Blockchain Data by Cohort Analysis

A web-based visual analysis tool for creating and characterizing cohorts.

cohorts.py makes generating cohort analysis from raw data a magical experience

🫀 Webapp to explore cohorts metadata for the iCARE4CVD project

tPC - Causal discovery with temporal background

https://matthieuvion.github.io/lmd_viz/ 236k comments of Le Monde on Ukraine. A proxy to measure people' engagement. Semantic search & SBERT models testing via Sentence-Transformer / Faiss

Cohort analysis is a study that focuses on the activities of a particular cohort. A cohort is a group of people who share a common characteristic over a certain period of time.

This repo is a code demo that implements a custom Customer Retention Analysis class with a number of helpful methods/functions to generate customer churn insights frequently used for marketing analytics to understand the growth and change of your customer base (new vs retained vs lost) .

This project focus on customer analysis and segmentation. Which help to generate specific marketing strategies targeting different groups. RFM Analysis, Cohort Analysis, and K-means Clusters were conducted on a UK-based online retail transaction dataset with 1,067,371 rows of records hosted on the UCI Machine Learning Repository.