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999 _c91945
_d91945
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006 m o d
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008 250820s2024 njum o u001 0 eng
020 _a9781394213269
_q(epub)
020 _a1394213263
020 _a9781394213252
_q(adobe pdf)
020 _a1394213255
020 _a9781394213276
_qelectronic book
020 _a1394213271
_qelectronic book
020 _z9781394213245
_q(hardback)
020 _z1394213247
_qhardcover
024 7 _a10.1002/9781394213276
_2doi
035 _a(OCoLC)1428132588
037 _a9781394213245
_bO'Reilly Media
037 _a10501959
_bIEEE
040 _aDLC
_beng
_erda
_cDLC
_dYDX
_dORMDA
_dOCLCO
_dDG1
_dIEEEE
_dUKAHL
041 _aeng
042 _apcc
050 0 0 _aQA76.9.D343
082 0 0 _a006.3/12
_223/eng/20240412
100 1 _aCremonini, Marco,
_0https://id.loc.gov/authorities/names/no2024037382
_eauthor.
245 1 0 _aData science fundamentals with R, Python, and open data /
_cMarco Cremonini.
264 1 _aHoboken, New Jersey :
_bWiley,
_c[2024]
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent.
337 _acomputer
_bc
_2rdamedia.
338 _aonline resource
_bcr
_2rdacarrier.
500 _aIncludes index.
505 0 _aTable of Contents Preface xiii About the Companion Website xvii Introduction xix 1 Open-Source Tools for Data Science 1 1.1 R Language and RStudio 1 1.2 Python Language and Tools 5 1.3 Advanced Plain Text Editor 8 1.4 CSV Format for Datasets 8 2 Simple Exploratory Data Analysis 13 2.1 Missing Values Analysis 13 2.2 R: Descriptive Statistics and Utility Functions 15 2.3 Python: Descriptive Statistics and Utility Functions 17 3 Data Organization and First Data Frame Operations 23 3.1 R: Read CSV Datasets and Column Selection 24 3.2 R: Rename and Relocate Columns 36 3.3 R: Slicing, Column Creation, and Deletion 38 3.4 R: Separate and Unite Columns 45 3.5 R: Sorting Data Frames 49 3.6 R: Pipe 55 3.7 Python: Column Selection 59 3.8 Python: Rename and Relocate Columns 67 3.9 Python: NumPy Slicing, Selection with Index, Column Creation and Deletion 69 3.10 Python: Separate and Unite Columns 81 3.11 Python: Sorting Data Frame 85 4 Subsetting with Logical Conditions 99 4.1 Logical Operators 99 4.2 R: Row Selection 101 5 Operations on Dates, Strings, and Missing Values 127 5.1 R: Operations on Dates and Strings 129 5.2 R: Handling Missing Values and Data Type Transformations 141 5.3 R: Example with Dates, Strings, and Missing Values 154 5.4 Pyhton: Operations on Dates and Strings 165 5.5 Python: Handling Missing Values and Data Type Transformations 173 5.6 Python: Examples with Dates, Strings, and Missing Values 182 6 Pivoting and Wide-long Transformations 195 6.1 R: Pivoting 197 6.2 Python: Pivoting 202 7 Groups and Operations on Groups 221 7.1 R: Groups 222 7.2 Python: Groups 244 8 Conditions and Iterations 271 8.1 R: Conditions and Iterations 272 8.2 Python: Conditions and Iterations 284 9 Functions and Multicolumn Operations 307 9.1 R: User-defined Functions 308 9.2 R: Multicolumn Operations 316 9.3 Python: User-defined and Lambda Functions 330 10 Join Data Frames 347 10.1 Basic Concepts 348 10.2 Python: Join Operations 369 11 List/Dictionary Data Format 393 11.1 R: List Data Format 395 11.2 R: JSON Data Format and Use Cases 410 11.3 Python: Dictionary Data Format 422 Questions 443 Index 447
520 _a"Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data."--
_cProvided by publisher.
545 0 _aAbout the Author Marco Cremonini is Assistant Professor with the Department of Social and Political Sciences at the University of Milan, Italy. He is Academic Editor and Board Member of PLOS ONE and his current research interests are focused on computational network and agent-based models of propagation and behavior.
650 0 _aData mining.
_0https://id.loc.gov/authorities/subjects/sh97002073.
650 0 _aR (Computer program language)
_0https://id.loc.gov/authorities/subjects/sh2002004407.
650 0 _aPython (Computer program language)
_0https://id.loc.gov/authorities/subjects/sh96008834.
655 4 _aElectronic books.
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394213276
_yFull text is available at Wiley Online Library Click here to view
942 _2ddc
_cER