This section covers analytic methodology work and will house tutorials describing the thought processes, and accompanying examples, involved with conducting various analytic tasks. A lot of books provide you an analytic outputs, “just do this” coding examples or this is how you create a specific out put, but may not explain why you doing something. The why and how are important for understanding what you need to do or consider. Although everyone may deviate to some degree in some areas but the core concepts and principles are largely the same.
Project Workflow
In this methodology guide, the you will progress through each stage involved in conducting a data analysis project. It focuses on the process and workflow, while using an open source data set to demonstrate and explain the decisions made along the way. The data set used throughout the example is Washington D.C. criminal data. This guide will take you from planning the project to production of analysis and decision. The primary language used throughout the example is R, though other software is presented and used. The guide would be ideal for data analysts, data scientists and supervisors.
- Project Workflow
- Project Workflow: Data Analysis
- Project Workflow: Data Exploration
- Project Workflow: Data Transformation
- Project Workflow: Data Preparation
- Project Workflow: Data Storage
- Project Workflow: Data Search
- Project Workflow: Planning
Future Examples:
Coming Soon