Data Science in Practice
Welcome
1 Applied Data Science Projects
2 From Organizational Concern to Analytical Question
3 Planning the Project
4 Team Charters and Collaboration
5 Interim Project Reviews
6 Data Responsibility and Confidentiality
7 Data Dictionaries and Codebooks
8 A Reproducible Exploratory Data Analysis
9 Researching Secondary Data
10 Analysis and Machine Learning
11 Forecasting, Projections, and Customer Value
12 Data Storytelling and Thematic Cohesion
13 Professional Tables and Visualizations
14 Reports, Recommendations, and Presentations
15 Technical Refreshers
16 Glossary
17 Project Templates and Checklists
18 Appendix: NVRW Complete Project Synthesis

Data Science in Practice

18.15 Reproducible assets

NVRW package guide
Excel analysis workbook
R import and validation script
R EDA script
R analysis script
Power BI demonstration guide

The Excel workbook provides summary tables and native charts that can be inspected and modified.

The Excel workbook provides summary tables and native charts that can be inspected and modified.