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Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations - Tapa blanda
Sinopsis
Put your Haskell skills to work and generate publication-ready visualizations in no time at all
Key Features:
- Take your data analysis skills to the next level using the power of Haskell
- Understand regression analysis, perform multivariate regression, and untangle different cluster varieties
- Create publication-ready visualizations of data
Book Description:
Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner.
This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world.
By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis.
What You Will Learn:
- Learn to parse a CSV file and read data into the Haskell environment
- Create Haskell functions for common descriptive statistics functions
- Create an SQLite3 database using an existing CSV file
- Learn the versatility of SELECT queries for slicing data into smaller chunks
- Apply regular expressions in large-scale datasets using both CSV and SQLite3 files
Create a Kernel Density Estimator visualization using normal distribution
Who this book is for:
This book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style.
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Acerca del autor
James Church lives in Clarksville, Tennessee, United States, where he enjoys teaching, programming, and playing board games with his wife, Michelle. He is an assistant professor of computer science at Austin Peay State University. He has consulted for various companies and a chemical laboratory for the purpose of performing data analysis work. James is the author of Learning Haskell Data Analysis.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations
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Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations
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Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations
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ISBN 13: 9781789802863
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Getting Started With Haskell Data Analysis
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ISBN 10: 1789802865
ISBN 13: 9781789802863
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Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations
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ISBN 10: 1789802865
ISBN 13: 9781789802863
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Getting Started with Haskell Data Analysis : Put your data analysis techniques to work and generate publication-ready visualizations
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Put your Haskell skills to work and generate publication-ready visualizations in no time at allKey Features: Take your data analysis skills to the next level using the power of Haskell Understand regression analysis, perform multivariate regression, and untangle different cluster varieties Create publication-ready visualizations of dataBook Description:Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner.This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world.By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis.What You Will Learn: Learn to parse a CSV file and read data into the Haskell environment Create Haskell functions for common descriptive statistics functions Create an SQLite3 database using an existing CSV file Learn the versatility of SELECT queries for slicing data into smaller chunks Apply regular expressions in large-scale datasets using both CSV and SQLite3 filesCreate a Kernel Density Estimator visualization using normal distributionWho this book is for:This book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style. Nº de ref. del artículo: 9781789802863
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data analysis is a part of computer science and part statistics. An important part of data analysis is validating your assumptions with real-world data to see if there is a pattern or a particular user behavior that you can validate. This book will help you. Nº de ref. del artículo: 448332287
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