This repo contains the scripts used to analyze the "shops" experiment in SG that targeted both the groceries and health and wellness verticals
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Updated
Oct 2, 2022 - R
This repo contains the scripts used to analyze the "shops" experiment in SG that targeted both the groceries and health and wellness verticals
Sample-Size Calculations for A/B Testing using Delta method
Statistics and hypothesis testing is used to analyze a series of datasets from the automotive industry using R programming language.
Applied Statistical Learning, A/B testing with Marketing Analytics, Data Analytics for Business Intelligence
An online dashboard example demonstrating the usage of R Shiny and A/B testing on a dummy dataset
In-depth investigation of finite size effects and slow convergence of power statistics in the context of AB tests.
Exporting and analysing data from Google Analytics in R
This repo contains a GBQ script that pulls, cleans, and aggregates data of a hybrid experiment (AB & diff-in-diff). The R script contains a logic that analyzes the performance and significance of the results according to key success metrics
An end-to-end churn reduction system.
AB Testing of the effect of introducing Food GIFs as compared to Food pictures, on customers using delivery Apps
A Mass Media Experiment in Rural Uganda to violence against women by encouraging disclosure
Web app for estimating the amount of time needed to run an A/B test
A/B testing (or split-testing) is a randomized experiment with two variants A and B. It includes application of statistical hypothesis testing (or two-sample hypothesis testing), as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against va…
This repo contains a GBQ script that clusters vendors according to their elasticity of demand and conversion rate trends. The goal is to identify vendors with lower price sensitivity than their peers to implement a differentiated pricing strategy. The R script analyzes the performance of an ABn test that was set up to validate the quality of the…
Analyses and advanced visualisations
Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing
First assessment of learning-to-rank: testing machine-learned ranking of search results on English Wikipedia
Reporting & analytics tools for the Mojito split testing framework
Heterogeneous Treatment Effects
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