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001			22540304
003			CSPC
005			20250717093812.0
008			220509s2023 caua b 001 0 eng d
010			_a 2022938266
015			_aGBC2K5364 _2bnb
016	7		_a020808176 _2Uk
020			_a9781529707489 _qpaperback
035			_a22540304
035			_a(OCoLC)1334717143
040			_aYDX _beng _erda _cYDX _dBDX _dUKMGB _dOCLCF _dYDX _dFIE _dH2K _dDLC _dCSPC
042			_alccopycat
050	0	0	_aH62 _b.H64 2023
082	0	4	_a300.72 _bH678f _223
100	1		_aHogan, Bernie, _eauthor.
245	1	0	_aFrom social science to data science / _cBernie Hogan.
264		1	_aLos Angeles : _bSAGE, _c2023.
300			_axxxiv, 361 pages : _billustrations (chiefly color) ; _c26 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aPart I. Thinking programmatically -- Introduction: thinking of life at scale -- The series: taming the distribution -- The data frame: python's tabular format -- Part II. Accessing and converting data -- File types: getting data in -- Merging and grouping data -- Accessing data on the world wide web using code -- Accessing APIs, including twitter and reddit -- Part III. Interpreting data: expectations versus observations -- Research questions -- Visualizing expectations: comparing statistical tests and plots -- Part IV. Social data science in practice: four approaches -- Cleaning data for socially interesting features -- Introducing natural language processing: cleaning, summarizing, and classifying text -- Introducing time-series data: showing periods and trends -- Introducing network analysis: structuring relationships -- Introducing geographic information systems: data across space and place -- Conclusion: there (to do science) and back again (to social science).
520			_aFrom Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python. From beginning to end, this book will enable you to understand merging, accessing, cleaning and interpreting data whilst gaining a deeper understanding into computational techniques and seeing the bigger picture. With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis on key data collection and skills in Python. -- _cProvided by publisher.
650		0	_aSocial sciences _xResearch _xData processing.
650		0	_aData mining.
650		0	_aPython (Computer program language).
650		7	_aPython (Computer program language). _2fast _0(OCoLC)fst01084736
650		7	_aSocial sciences _xResearch _xData processing. _2fast _0(OCoLC)fst01122948
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK _e23 _h300.72 _iH678f _kCIR _m2023 _n0
999			_c29750 _d29750