Getting Started with Haskell Data Analysis: Put your data analysis techniques to work and generate publication-ready visualizations
bPut your Haskell skills to work and generate publication-ready visualizations in no time at all/b h4Key Features/h4 ulliTake your data analysis skills to the next level using the power of Haskell /li liUnderstand regression analysis, perform multivariate regression, and untangle different cluster v...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
|
| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bPut your Haskell skills to work and generate publication-ready visualizations in no time at all/b h4Key Features/h4 ulliTake your data analysis skills to the next level using the power of Haskell /li liUnderstand regression analysis, perform multivariate regression, and untangle different cluster varieties /li liCreate publication-ready visualizations of data /li /ul h4Book Description/h4 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. h4What you will learn/h4 ulliLearn to parse a CSV file and read data into the Haskell environment /li liCreate Haskell functions for common descriptive statistics functions /li liCreate an SQLite3 database using an existing CSV file /li liLearn the versatility of SELECT queries for slicing data into smaller chunks /li liApply regular expressions in large-scale datasets using both CSV and SQLite3 files /li liCreate a Kernel Density Estimator visualization using normal distribution /li /ul h4Who this book is for/h4 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 |
| Beschreibung: | 1 Online-Ressource (160 Seiten) |
| ISBN: | 9781789808605 |
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| 520 | |a 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. | ||
| 520 | |a h4What you will learn/h4 ulliLearn to parse a CSV file and read data into the Haskell environment /li liCreate Haskell functions for common descriptive statistics functions /li liCreate an SQLite3 database using an existing CSV file /li liLearn the versatility of SELECT queries for slicing data into smaller chunks /li liApply regular expressions in large-scale datasets using both CSV and SQLite3 files /li liCreate a Kernel Density Estimator visualization using normal distribution /li /ul h4Who this book is for/h4 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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| spelling | Church, James Verfasser aut Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations Church, James 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (160 Seiten) txt rdacontent c rdamedia cr rdacarrier bPut your Haskell skills to work and generate publication-ready visualizations in no time at all/b h4Key Features/h4 ulliTake your data analysis skills to the next level using the power of Haskell /li liUnderstand regression analysis, perform multivariate regression, and untangle different cluster varieties /li liCreate publication-ready visualizations of data /li /ul h4Book Description/h4 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. h4What you will learn/h4 ulliLearn to parse a CSV file and read data into the Haskell environment /li liCreate Haskell functions for common descriptive statistics functions /li liCreate an SQLite3 database using an existing CSV file /li liLearn the versatility of SELECT queries for slicing data into smaller chunks /li liApply regular expressions in large-scale datasets using both CSV and SQLite3 files /li liCreate a Kernel Density Estimator visualization using normal distribution /li /ul h4Who this book is for/h4 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 COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| spellingShingle | Church, James Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| title | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations |
| title_auth | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations |
| title_exact_search | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations |
| title_exact_search_txtP | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations |
| title_full | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations Church, James |
| title_fullStr | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations Church, James |
| title_full_unstemmed | Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations Church, James |
| title_short | Getting Started with Haskell Data Analysis |
| title_sort | getting started with haskell data analysis put your data analysis techniques to work and generate publication ready visualizations |
| title_sub | Put your data analysis techniques to work and generate publication-ready visualizations |
| topic | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| work_keys_str_mv | AT churchjames gettingstartedwithhaskelldataanalysisputyourdataanalysistechniquestoworkandgeneratepublicationreadyvisualizations |