Author: 3 D Statistical LearningWe help businesses and researchers solve complex challenges by providing expert guidance in statistics, machine learning, and tailored education. Our core services include: - Statistical Consulting: Comprehensive consulting tailored to your data-driven needs. - Training and Coaching: In-depth instruction in statistics, machine learning, and the use of statistical software such as SAS, R, and Python. - Reproducible Data Analysis Pipelines: Development of documented, reproducible workflows using SAS macros and customized R and Python code. - Interactive Data Visualization and Web Applications: Creation of dynamic visualizations and web apps with R (Shiny, Plotly), Python (Streamlit, Dash by Plotly), and SAS (SAS Viya, SAS Web Report Studio). - Automated Reporting and Presentation: Generation of automated reports and presentations using Markdown and Quarto. - Scientific Data Analysis: Advanced analytical support for scientific research projects.

Jul 30,2025

Making Bayesian Statistics Accessible to Everyone – Edition 1: From Frequentist to Bayesian Statistics

Introduction Statisticians draw data from a subset of the population, known as a sample, which should be representative of the whole. Analyses are then conducted on the sample with the intention of making reliable inferences…

3 D Statistical Learning

Jul 29,2025

Case Study: Predicting Customer Sensitivity to Interest Rate Changes – A Step-by-Step Binary Classification Approach Using Random Forest

Introduction A leading retail bank aims to optimize the pricing of its credit portfolio by predicting how sensitive its customers are to changes in interest rates. This case study provides a step-by-step walkthrough of how…

3 D Statistical Learning

Jul 03,2025

Revenue Forecasting for Supermarket Chains: A Case Study with an Anonymous Supermarket Chain in Germany

I. Introduction and Problem Description Project Overview In this project, we present a robust end-to-end framework for forecasting daily revenue across multiple locations of an anonymous supermarket chain. Leveraging historical transaction data, the framework employs…

3 D Statistical Learning

Jul 03,2025

Case Study: Identifying Claim-Prone Customer Segments for a Car Insurance Provider

I. Introduction and Problem Description This case study offers a step-by-step guide to applying segmentation algorithms, with a particular focus on their use in a car insurance context. The code for this analysis is available…

3 D Statistical Learning

Jun 07,2025

Making SAS Accessible to Everyone – Edition 20: Knowledge Quiz Part 3

Introduction Welcome to Edition 20 of Making SAS Accessible to Everyone. This final quiz installment tests your knowledge of concepts from Editions 14 to 17, including: Combining tables Processing repetitive code Restructuring data tables Introduction…

3 D Statistical Learning

Jun 07,2025

Making SAS Accessible to Everyone – Edition 19: Knowledge Quiz Part 2

Introduction Welcome to Edition 19 of Making SAS Accessible to Everyone. This edition is the second quiz in our review series. It focuses on key topics covered in Editions 9 to 13, including: SQL processing…