The Data Preparation Journey by Martin Hugh Monkman
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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Introduction to NFL Analytics with R
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Probability and Statistics for Data Science
- Deep Learning and Statistics
- Introduction to Data Science
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DevOps for Data Science
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Data Science in Healthcare
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What's the Question?
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Test-Driven Data Analysis
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Textual and Contextual Data Analysis
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Advanced Basketball Data Science
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Introduction to Classifier Performance Analysis with R
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Research Software Engineering
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Getting (more out of) Graphics
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JavaScript for Data Science
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Supervised Machine Learning for Text Analysis in R
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Massive Graph Analytics
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An Introduction to IoT Analytics
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Deep-Learning-Assisted Statistical Methods with Examples in R
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Natural Language Processing in the Real World
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Predictive Modelling for Football Analytics
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Models Demystified
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Cybersecurity Analytics
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Big Data Analytics
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Basketball Data Science
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Why Data Science Projects Fail
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Mathematical Engineering of Deep Learning
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Data Science for Water Utilities
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Real World AI Ethics for Data Scientists
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Data Science and Analytics Strategy
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Hands-On Data Science for Librarians
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Data Science
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Practitioner's Guide to Data Science
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Practitioner’s Guide to Data Science
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Spatial Statistics for Data Science
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Data Science in Practice
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.
| SKU | Unavailable |
| ISBN 13 | 9781032192314 |
| ISBN 10 | 1032192313 |
| Title | The Data Preparation Journey |
| Author | Martin Hugh Monkman |
| Series | Chapman And Hall Crc Data Science Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2024-05-07 |
| Number of pages | 218 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |