Fragments of an Analytic Pub Crawl traces the journey of my life, its memories, the events and the places where I have been and what I have read. The book title is not to be confused with the traditional drinking pub crawl, it is a way of describing the psychogeographical nature of this book. Patrick ffrench, the writer, described psychogeography as “an analytic pub crawl”, a lived experience – one drifts from one place to the next; observing, noting, reacting. We may drift through a city, or a life and absorb. This is the “dérive”. Charles Baudelaire named this person, the flâneur. Just as the past left traces in today’s built environment, so have we, and so have I. This book traces those memories, it’s part memoir, part history, and part essay, The subjects reflect a variety of interests: growing up in Northern Ireland, the Troubles, my life in IT education, Irish humour, life-skills, reading, writing, music, emigration, family, urban liveability, the pandemic and much much more.
Fragments of an Analytic Pub Crawl traces the journey of my life, its memories, the events and the places where I have been and what I have read. The book title is not to be confused with the traditional drinking pub crawl, it is a way of describing the psychogeographical nature of this book. Patrick ffrench, the writer, described psychogeography as “an analytic pub crawl”, a lived experience – one drifts from one place to the next; observing, noting, reacting. We may drift through a city, or a life and absorb. This is the “dérive”. Charles Baudelaire named this person, the flâneur. Just as the past left traces in today’s built environment, so have we, and so have I. This book traces those memories, it’s part memoir, part history, and part essay, The subjects reflect a variety of interests: growing up in Northern Ireland, the Troubles, my life in IT education, Irish humour, life-skills, reading, writing, music, emigration, family, urban liveability, the pandemic and much much more.
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. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context. Key Features: Includes R package containing the code and data sets used in the book Comprehensive examples of data preparation from a variety of disciplines Defines the key principles of data preparation, from access to publication
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