R Programming Fundamentals: Deal with data using various modeling techniques
bStudy data analysis and visualization to successfully analyze data with R/b h4Key Features/h4 ulliGet to grips with data cleaning methods /li liExplore statistical concepts and programming in R, including best practices /li liBuild a data science project with real-world examples /li /ul h4Book Desc...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
|
| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bStudy data analysis and visualization to successfully analyze data with R/b h4Key Features/h4 ulliGet to grips with data cleaning methods /li liExplore statistical concepts and programming in R, including best practices /li liBuild a data science project with real-world examples /li /ul h4Book Description/h4 R Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you'll understand you how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops. Once you have grasped the basics, you'll move on to studying data visualization and graphics. You'll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you'll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values. By the end of this book, you'll have completed an entire data science project of your own for your portfolio or blog. h4What you will learn/h4 ulliUse basic programming concepts of R such as loading packages, arithmetic functions, data structures, and flow control /li liImport data to R from various formats such as CSV, Excel, and SQL /li liClean data by handling missing values and standardizing fields /li liPerform univariate and bivariate analysis using ggplot2 /li liCreate statistical summary and advanced plots such as histograms, scatter plots, box plots, and interaction plots /li liApply data management techniques, such as factoring, pivoting, aggregating, merging, and dealing with missing values, on the example datasets /li /ul h4Who this book is for/h4 R Programming Fundamentals is for you if you are an analyst who wants to grow in the field of data science and explore the latest tools |
| Beschreibung: | 1 Online-Ressource (206 Seiten) |
| ISBN: | 9781789616101 |
Internformat
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:33Z |
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| isbn | 9781789616101 |
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| spelling | Medeiros, Kaelen Verfasser aut R Programming Fundamentals Deal with data using various modeling techniques Medeiros, Kaelen 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (206 Seiten) txt rdacontent c rdamedia cr rdacarrier bStudy data analysis and visualization to successfully analyze data with R/b h4Key Features/h4 ulliGet to grips with data cleaning methods /li liExplore statistical concepts and programming in R, including best practices /li liBuild a data science project with real-world examples /li /ul h4Book Description/h4 R Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you'll understand you how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops. Once you have grasped the basics, you'll move on to studying data visualization and graphics. You'll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you'll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values. By the end of this book, you'll have completed an entire data science project of your own for your portfolio or blog. h4What you will learn/h4 ulliUse basic programming concepts of R such as loading packages, arithmetic functions, data structures, and flow control /li liImport data to R from various formats such as CSV, Excel, and SQL /li liClean data by handling missing values and standardizing fields /li liPerform univariate and bivariate analysis using ggplot2 /li liCreate statistical summary and advanced plots such as histograms, scatter plots, box plots, and interaction plots /li liApply data management techniques, such as factoring, pivoting, aggregating, merging, and dealing with missing values, on the example datasets /li /ul h4Who this book is for/h4 R Programming Fundamentals is for you if you are an analyst who wants to grow in the field of data science and explore the latest tools COMPUTERS / Data Modeling & Design COMPUTERS / Computer Science |
| spellingShingle | Medeiros, Kaelen R Programming Fundamentals Deal with data using various modeling techniques COMPUTERS / Data Modeling & Design COMPUTERS / Computer Science |
| title | R Programming Fundamentals Deal with data using various modeling techniques |
| title_auth | R Programming Fundamentals Deal with data using various modeling techniques |
| title_exact_search | R Programming Fundamentals Deal with data using various modeling techniques |
| title_exact_search_txtP | R Programming Fundamentals Deal with data using various modeling techniques |
| title_full | R Programming Fundamentals Deal with data using various modeling techniques Medeiros, Kaelen |
| title_fullStr | R Programming Fundamentals Deal with data using various modeling techniques Medeiros, Kaelen |
| title_full_unstemmed | R Programming Fundamentals Deal with data using various modeling techniques Medeiros, Kaelen |
| title_short | R Programming Fundamentals |
| title_sort | r programming fundamentals deal with data using various modeling techniques |
| title_sub | Deal with data using various modeling techniques |
| topic | COMPUTERS / Data Modeling & Design COMPUTERS / Computer Science |
| topic_facet | COMPUTERS / Data Modeling & Design COMPUTERS / Computer Science |
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