Beyond Spreadsheets with R
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Format
Edition
1st edition.
Language
English
UPC
9781617294594
Notes
Description
With Beyond Spreadsheets with R you'll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data, including data you scrape from the web. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts.
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Made available through: Safari, an O'Reilly Media Company.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Carroll, J. (2019). Beyond Spreadsheets with R (1st edition.). Manning Publications.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Carroll, Jon. 2019. Beyond Spreadsheets With R. Manning Publications.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Carroll, Jon. Beyond Spreadsheets With R Manning Publications, 2019.
Harvard Citation (style guide)Carroll, J. (2019). Beyond spreadsheets with R. 1st edn. Manning Publications.
MLA Citation, 9th Edition (style guide)Carroll, Jon. Beyond Spreadsheets With R 1st edition., Manning Publications, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
08251965-0bb2-506d-5d52-d6363fef3ee4-eng
Grouping Information
| Grouped Work ID | 08251965-0bb2-506d-5d52-d6363fef3ee4-eng |
|---|---|
| Full title | beyond spreadsheets with r |
| Author | carroll jon |
| Grouping Category | book |
| Last Update | 2024-12-17 08:30:41AM |
| Last Indexed | 2024-12-17 08:33:12AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Aug 17, 2023 |
| Last Used | Nov 4, 2024 |
Marc Record
| First Detected | Mar 21, 2023 12:10:45 PM |
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| Last File Modification Time | Dec 17, 2024 08:09:08 AM |
| Suppressed | Record had no items |
MARC Record
| LEADER | 07295cam a2200433Ma 4500 | ||
|---|---|---|---|
| 001 | on1099553230 | ||
| 003 | OCoLC | ||
| 005 | 20241217080653.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||||||| | ||
| 008 | 190224s2019 xx o 000 0 eng | ||
| 024 | 8 | |a 9781617294594 | |
| 035 | |a (OCoLC)1099553230 | ||
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| 049 | |a MAIN | ||
| 082 | 0 | 4 | |a 006.3/12|q OCoLC|2 23/eng/20230216 |
| 100 | 1 | |a Carroll, Jon,|e author.|9 157145 | |
| 245 | 1 | 0 | |a Beyond Spreadsheets with R /|c Carroll, Jonathan. |
| 250 | |a 1st edition. | ||
| 264 | 1 | |b Manning Publications,|c 2019. | |
| 300 | |a 1 online resource (352 pages) | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
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| 347 | |a text file | ||
| 505 | 0 | |a Intro -- Titlepage -- Copyright -- preface -- acknowledgments -- about this book -- Who needs this book? -- How to read this book -- Formatting -- Structure -- Getting started -- Where to find more help -- More about this book -- Book forum -- about the author -- about the cover illustration -- Chapter 1: Introducing data and the R language -- 1.1 Data: What, where, how? -- 1.1.1 What is data? -- 1.1.2 Seeing the world as data sources -- 1.1.3 Data munging -- 1.1.4 What you can do with well-handled data -- 1.1.5 Data as an asset -- 1.1.6 Reproducible research and version control -- 1.2 Introducing R -- 1.2.1 The origins of R -- 1.2.2 What R is and what it isn't -- 1.3 How R works -- 1.4 Introducing RStudio -- 1.4.1 Working with R within RStudio -- 1.4.2 Built-in packages (data and functions) -- 1.4.3 Built-in documentation -- 1.4.4 Vignettes -- 1.5 Try it yourself -- Terminology -- Summary -- Chapter 2: Getting to know R data types -- 2.1 Types of data -- 2.1.1 Numbers -- 2.1.2 Text (strings) -- 2.1.3 Categories (factors) -- 2.1.4 Dates and times -- 2.1.5 Logicals -- 2.1.6 Missing values -- 2.2 Storing values (assigning) -- 2.2.1 Naming data (variables) -- 2.2.2 Unchanging data -- 2.2.3 The assignment operators (< -- vs. =) -- 2.3 Specifying the data type -- 2.4 Telling R to ignore something -- 2.5 Try it yourself -- Terminology -- Summary -- Chapter 3: Making new data values -- 3.1 Basic mathematics -- 3.2 Operator precedence -- 3.3 String concatenation (joining) -- 3.4 Comparisons -- 3.5 Automatic conversion (coercion) -- 3.6 Try it yourself -- Terminology -- Summary -- Chapter 4: Understanding the tools you'll use: Functions -- 4.1 Functions -- 4.1.1 Under the hood -- 4.1.2 Function template -- 4.1.3 Arguments -- 4.1.4 Multiple arguments -- 4.1.5 Default arguments -- 4.1.6 Argument name matching -- 4.1.7 Partial matching -- 4.1.8 Scope. | |
| 505 | 8 | |a 4.2 Packages -- 4.2.1 Installing packages -- 4.2.2 How does R (not) know about this function? -- 4.2.3 Namespaces -- 4.3 Messages, warnings, and errors, oh my! -- 4.3.1 Creating messages, warnings, and errors -- 4.3.2 Diagnosing messages, warnings, and errors -- 4.4 Testing -- 4.5 Project: Generalizing a function -- 4.6 Try it yourself -- Terminology -- Summary -- Chapter 5: Combining data values -- 5.1 Simple collections -- 5.1.1 Coercion -- 5.1.2 Missing values -- 5.1.3 Attributes -- 5.1.4 Names -- 5.2 Sequences -- 5.2.1 Vector functions -- 5.2.2 Vector math operations -- 5.3 Matrices -- 5.3.1 Naming dimensions -- 5.4 Lists -- 5.5 data.frames -- 5.6 Classes -- 5.6.1 The tibble class -- 5.6.2 Structures as function arguments -- 5.7 Try it yourself -- Terminology -- Summary -- Chapter 6: Selecting data values -- 6.1 Text processing -- 6.1.1 Text matching -- 6.1.2 Substrings -- 6.1.3 Text substitutions -- 6.1.4 Regular expressions -- 6.2 Selecting components from structures -- 6.2.1 Vectors -- 6.2.2 Lists -- 6.2.3 Matrices -- 6.3 Replacing values -- 6.4 data.frames and dplyr -- 6.4.1 dplyr verbs -- 6.4.2 Non-standard evaluation -- 6.4.3 Pipes -- 6.4.4 Subsetting data.frame the hard way -- 6.5 Replacing NA -- 6.6 Selecting conditionally -- 6.7 Summarizing values -- 6.8 A worked example: Excel vs. R -- 6.9 Try it yourself -- 6.9.1 Solutions -- no peeking -- Terminology -- Summary -- Chapter 7: Doing things with lots of data -- 7.1 Tidy data principles -- 7.1.1 The working directory -- 7.1.2 Stored data formats -- 7.1.3 Reading data into R -- 7.1.4 Scraping data -- 7.1.5 Inspecting data -- 7.1.6 Dealing with odd values in data (sentinel values) -- 7.1.7 Converting to tidy data -- 7.2 Merging data -- 7.3 Writing data from R -- 7.4 Try it yourself -- Terminology -- Summary -- Chapter 8: Doing things conditionally: Control structures -- 8.1 Looping. | |
| 505 | 8 | |a 8.1.1 Vectorization -- 8.1.2 Tidy repetition: Looping with purrr -- 8.1.3 for loops -- 8.2 Wider and narrower loop scope -- 8.2.1 while loops -- 8.3 Conditional evaluation -- 8.3.1 if conditions -- 8.3.2 ifelse conditions -- 8.4 Try it yourself -- Terminology -- Summary -- Chapter 9: Visualizing data: Plotting -- 9.1 Data preparation -- 9.1.1 Tidy data, revisited -- 9.1.2 Importance of data types -- 9.2 ggplot2 -- 9.2.1 General construction -- 9.2.2 Adding points -- 9.2.3 Style aesthetics -- 9.2.4 Adding lines -- 9.2.5 Adding bars -- 9.2.6 Other types of plots -- 9.2.7 Scales -- 9.2.8 Facetting -- 9.2.9 Additional options -- 9.3 Plots as objects -- 9.4 Saving plots -- 9.5 Try it yourself -- Terminology -- Summary -- Chapter 10: Doing more with your data with extensions -- 10.1 Writing your own packages -- 10.1.1 Creating a minimal package -- 10.1.2 Documentation -- 10.2 Analyzing your package -- 10.2.1 Unit testing -- 10.2.2 Profiling -- 10.3 What to do next? -- 10.3.1 Regression -- 10.3.2 Clustering -- 10.3.3 Working with maps -- 10.3.4 Interacting with APIs -- 10.3.5 Sharing your package -- 10.4 More resources -- Terminology -- Summary -- Appendix A: Installing R -- Windows -- Mac -- Linux -- From source -- Appendix B: Installing RStudio -- Installing RStudio -- Packages used in this book -- Appendix C: Graphics in base R -- Index -- List of Figures -- List of Tables -- List of Listings. | |
| 520 | |a With Beyond Spreadsheets with R you'll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data, including data you scrape from the web. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts. | ||
| 542 | |f © 2019 Manning Publications Co. All rights reserved.|g 2019 | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a R (Computer program language)|9 74517 | |
| 650 | 0 | |a Data mining.|9 71797 | |
| 710 | 2 | |a Safari, an O'Reilly Media Company. | |
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