The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. The principles and practices described within The Data Preparation Journey apply regardless of the context.
The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. The principles and practices described within The Data Preparation Journey apply regardless of the context.
Martin Monkman is a Senior Manager at MNP, and a Course Instructor at the University of Victoria Continuing Studies' Business Intelligence and Data Analytics program. Prior to joining MNP, Martin had a long career at BC Stats, the provincial statistics agency in British Columbia, Canada, including a decade with the job title "Provincial Statistician". Martin has Bachelor of Science and Master of Arts degrees in Geography from the University of Victoria, and he has been a member of the Statistical Society of Canada since 2022.
Inhaltsangabe
1. Introduction 2. Foundations 3. Data documentation 4. Importing data 5. Importing data: plain-text files 6. Importing data: Excel 7. Importing data: statistical software 8. Importing data: PDF files 9. Data from web sources 10. Linking to relational databases 11. Exploration and validation strategies 12. Cleaning techniques 13. Recap