R for data science: import, tidy, transform, visualize, and model data
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo
O'Reilly
2023
|
| Ausgabe: | 2nd edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xxiii, 548 Seiten Illustrationen, Diagramme |
| ISBN: | 9781492097402 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | Table of Contents Introduction.................................................................................................................................................... xi Parti. Ն Whole Game Data Visualization................................... Introduction First Steps ggplot2 Calls Visualizing Distributions Visualizing Relationships Saving Your Plots Common Problems Summary 1 1 2 14 14 19 28 28 29 2. Workflow: Basics.............................................................................................................................. 31 Coding Basics Comments Whaťs in a Name? Calling Functions Exercises Summary 31 32 33 34 35 35 3. Data Transformation ..........................................................................................................................37 Introduction Rows Columns The Pipe 37 40 45 49
Groups Case Study: Aggregates and Sample Size Summary 4. Workflow: Code Style........................................................................................................... Names Spaces Pipes ggplotî Sectioning Comments Exercises Summary 51 58 60 61 62 63 63 65 65 66 66 5. Data Tidying............................................................................................................................. 67 Introduction Tidy Data Lengthening Data Widening Data Summary 67 68 71 79 83 6. Workflow: Scripts and Projects........................................................................................... 85 Scripts Projects Exercises Summary 85 89 94 94 7. Data Import........................................................................................................................... 95 Introduction Reading Data from a File Controlling Column Types Reading Data from Multiple Files Writing to a File Data Entry Summary 8. Workflow: Getting Help................................................................................ Google Is Your Friend Making a reprex Investing in Yourself Summary iv ) Tabieof Contents 95 95 102 105 106 107 108 109 109 109 111 112
Part II. Visualize 9. Layers............................................................................................................................................... Introduction Aesthetic Mappings Geometric Objects Facets Statistical Transformations Position Adjustments Coordinate Systems The Layered Grammar of Graphics Summary 115 115 116 120 126 129 134 139 141 142 10. Exploratory Data Analysis.......................................................................................................... Introduction Questions Variation Unusual Values Covariation Patterns and Models Summary 143 143 144 144 149 152 162 165 11. Communication................................................................................................................................ 167 Introduction Labels Annotations Scales Themes Layout Summary Partili. 167 168 170 175 191 194 199 Transform 12. Logical Vectors.................................................................................................................................. 203 Introduction Comparisons Boolean Algebra Summaries Conditional Transformations Summary 203 204 208 211 214 217 Table of Contents | v
13. Numbers.................................................................................................................................. 219 Introduction Making Numbers Counts Numeric Transformations General Transformations Numeric Summaries Summary 219 219 220 222 229 233 239 14. Strings......................................................................................................................................241 Introduction Creating a String Creating Many Strings from Data Extracting Data from Strings Letters Non-English Text Summary 15. Regular Expressions........................................................................................................... Introduction Pattern Basics Key Functions Pattern Details Pattern Control Practice Regular Expressions in Other Places Summary 16. Factors................................................................................................................................. Introduction Factor Basics General Social Survey Modifying Factor Order Modifying Factor Levels Ordered Factors Summary 241 242 244 247 252 254 257 259 259 260 262 266 273 275 280 281 283 283 283 285 286 291 293 294 17. DatesandTimes................................................................................................................. 295 Introduction Creating Date/Times Date-Time Components Time Spans vi I Table of Contents 295 296 303 311
Time Zones Summary 315 317 18. Missing Values.....................................................................................................................319 319 319 32 i 324 326 Introduction Explicit Missing Values Implicit Missing Values Factors and Empty Groups Summary 19. Joins.................................................................................................................................. 327 327 328 332 339 344 351 Introduction Keys Basic loins How Do Joins Work? Non-Equi Joins Summary Part IV. Import 20. Spreadsheets..................................................................................................................... 355 355 355 369 373 Introduction Excel Google Sheets Summary 21. Databases.............................................................................................................................375 375 376 376 379 381 389 392 Introduction Database Basics Connecting to a Database dbplyr Basics SQL Function Translations Summary 22. Arrow................................................................................................................................ 393 393 394 394 396 398 Introduction Getting the Data Opening a Dataset The Parquet Format Using dplyr with Arrow Table of Contents ļ vii
Summary 4θθ 23. Hierarchical Data..................................................................................................................... 401 Introduction Lists Unnesting Case Studies ISON Summary 401 402 406 410 418 421 24. Web Scraping......................................................................................................................... 423 Introduction Scraping Ethics and Legalities HTML Basics Extracting Data Finding the Right Selectors Putting It All Together Dynamic Sites Summary PartV. 423 424 425 427 431 432 437 438 Program 25. Fondions.............................................................................................................................. 441 Introduction Vector Functions Data Frame Functions Plot Functions Style Summary 441 442 447 454 461 462 26. Iteration................................................................................................................................ 463 Introduction Modifying Multiple Columns Reading Multiple Files Saving Multiple Outputs Summary 463 464 473 481 486 27. A Field Guide to Base R......................................................................................................... 487 Introduction Selecting Multiple Elements with [ Selecting a Single Element with $ and [ [ viii I Table of Contents 487 488 492
Apply Family for Loops Plots Summary Part VI. 495 497 498 499 Communicate 28. Quarto.................................................................................................................................. 503 Introduction Quarto Basics Visual Editor Source Editor CodeChunks Figures Tables Caching Troubleshooting YAML Header Workflow Summary 503 504 507 509 511 515 519 520 521 522 525 526 29. Quarto Formats................................................................................................................ Introduction Output Options Documents Presentations Interactivity Websites and Books Other Formats Summary 529 529 529 530 531 531 534 535 535 Index...................................................................................................................................... 537 Table of Contents Į ix
|
| adam_txt |
Table of Contents Introduction. xi Parti. Ն Whole Game Data Visualization. Introduction First Steps ggplot2 Calls Visualizing Distributions Visualizing Relationships Saving Your Plots Common Problems Summary 1 1 2 14 14 19 28 28 29 2. Workflow: Basics. 31 Coding Basics Comments Whaťs in a Name? Calling Functions Exercises Summary 31 32 33 34 35 35 3. Data Transformation .37 Introduction Rows Columns The Pipe 37 40 45 49
Groups Case Study: Aggregates and Sample Size Summary 4. Workflow: Code Style. Names Spaces Pipes ggplotî Sectioning Comments Exercises Summary 51 58 60 61 62 63 63 65 65 66 66 5. Data Tidying. 67 Introduction Tidy Data Lengthening Data Widening Data Summary 67 68 71 79 83 6. Workflow: Scripts and Projects. 85 Scripts Projects Exercises Summary 85 89 94 94 7. Data Import. 95 Introduction Reading Data from a File Controlling Column Types Reading Data from Multiple Files Writing to a File Data Entry Summary 8. Workflow: Getting Help. Google Is Your Friend Making a reprex Investing in Yourself Summary iv ) Tabieof Contents 95 95 102 105 106 107 108 109 109 109 111 112
Part II. Visualize 9. Layers. Introduction Aesthetic Mappings Geometric Objects Facets Statistical Transformations Position Adjustments Coordinate Systems The Layered Grammar of Graphics Summary 115 115 116 120 126 129 134 139 141 142 10. Exploratory Data Analysis. Introduction Questions Variation Unusual Values Covariation Patterns and Models Summary 143 143 144 144 149 152 162 165 11. Communication. 167 Introduction Labels Annotations Scales Themes Layout Summary Partili. 167 168 170 175 191 194 199 Transform 12. Logical Vectors. 203 Introduction Comparisons Boolean Algebra Summaries Conditional Transformations Summary 203 204 208 211 214 217 Table of Contents | v
13. Numbers. 219 Introduction Making Numbers Counts Numeric Transformations General Transformations Numeric Summaries Summary 219 219 220 222 229 233 239 14. Strings.241 Introduction Creating a String Creating Many Strings from Data Extracting Data from Strings Letters Non-English Text Summary 15. Regular Expressions. Introduction Pattern Basics Key Functions Pattern Details Pattern Control Practice Regular Expressions in Other Places Summary 16. Factors. Introduction Factor Basics General Social Survey Modifying Factor Order Modifying Factor Levels Ordered Factors Summary 241 242 244 247 252 254 257 259 259 260 262 266 273 275 280 281 283 283 283 285 286 291 293 294 17. DatesandTimes. 295 Introduction Creating Date/Times Date-Time Components Time Spans vi I Table of Contents 295 296 303 311
Time Zones Summary 315 317 18. Missing Values.319 319 319 32 i 324 326 Introduction Explicit Missing Values Implicit Missing Values Factors and Empty Groups Summary 19. Joins. 327 327 328 332 339 344 351 Introduction Keys Basic loins How Do Joins Work? Non-Equi Joins Summary Part IV. Import 20. Spreadsheets. 355 355 355 369 373 Introduction Excel Google Sheets Summary 21. Databases.375 375 376 376 379 381 389 392 Introduction Database Basics Connecting to a Database dbplyr Basics SQL Function Translations Summary 22. Arrow. 393 393 394 394 396 398 Introduction Getting the Data Opening a Dataset The Parquet Format Using dplyr with Arrow Table of Contents ļ vii
Summary 4θθ 23. Hierarchical Data. 401 Introduction Lists Unnesting Case Studies ISON Summary 401 402 406 410 418 421 24. Web Scraping. 423 Introduction Scraping Ethics and Legalities HTML Basics Extracting Data Finding the Right Selectors Putting It All Together Dynamic Sites Summary PartV. 423 424 425 427 431 432 437 438 Program 25. Fondions. 441 Introduction Vector Functions Data Frame Functions Plot Functions Style Summary 441 442 447 454 461 462 26. Iteration. 463 Introduction Modifying Multiple Columns Reading Multiple Files Saving Multiple Outputs Summary 463 464 473 481 486 27. A Field Guide to Base R. 487 Introduction Selecting Multiple Elements with [ Selecting a Single Element with $ and [ [ viii I Table of Contents 487 488 492
Apply Family for Loops Plots Summary Part VI. 495 497 498 499 Communicate 28. Quarto. 503 Introduction Quarto Basics Visual Editor Source Editor CodeChunks Figures Tables Caching Troubleshooting YAML Header Workflow Summary 503 504 507 509 511 515 519 520 521 522 525 526 29. Quarto Formats. Introduction Output Options Documents Presentations Interactivity Websites and Books Other Formats Summary 529 529 529 530 531 531 534 535 535 Index. 537 Table of Contents Į ix |
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| spelling | Wickham, Hadley Verfasser (DE-588)1068547812 aut R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund 2nd edition Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo O'Reilly 2023 xxiii, 548 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Data Science (DE-588)1140936166 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 s Datenanalyse (DE-588)4123037-1 s DE-604 Data Science (DE-588)1140936166 s Çetinkaya-Rundel, Mine Verfasser (DE-588)1071012452 aut Grolemund, Garrett Verfasser (DE-588)1058224441 aut Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034152359&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wickham, Hadley Çetinkaya-Rundel, Mine Grolemund, Garrett R for data science import, tidy, transform, visualize, and model data Data Science (DE-588)1140936166 gnd R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)1140936166 (DE-588)4705956-4 (DE-588)4123037-1 |
| title | R for data science import, tidy, transform, visualize, and model data |
| title_auth | R for data science import, tidy, transform, visualize, and model data |
| title_exact_search | R for data science import, tidy, transform, visualize, and model data |
| title_exact_search_txtP | R for data science import, tidy, transform, visualize, and model data |
| title_full | R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund |
| title_fullStr | R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund |
| title_full_unstemmed | R for data science import, tidy, transform, visualize, and model data Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund |
| title_short | R for data science |
| title_sort | r for data science import tidy transform visualize and model data |
| title_sub | import, tidy, transform, visualize, and model data |
| topic | Data Science (DE-588)1140936166 gnd R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Data Science R Programm Datenanalyse |
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