03073cam a2200421 i 450000100090000000300050000900500170001400800410003101000170007201500190008901600180010802000290012603500130015503500220016804000680019004200140025805000190027208200220029110000280031324500570034126400320039830000630043033600260049333700280051933800270054750400510057450509850062552005640161065000480217465000170222265000400223965000660227965000740234590600450241994200450246495201250250999900170263422540304CSPC20250717093812.0220509s2023    caua     b    001 0 eng d  a  2022938266  aGBC2K53642bnb7 a0208081762Uk  a9781529707489qpaperback  a22540304  a(OCoLC)1334717143  aYDXbengerdacYDXdBDXdUKMGBdOCLCFdYDXdFIEdH2KdDLCdCSPC  alccopycat00aH62b.H64 202304a300.72bH678f2231 aHogan, Bernie,eauthor.10aFrom social science to data science /cBernie Hogan. 1aLos Angeles :bSAGE,c2023.  axxxiv, 361 pages :billustrations (chiefly color) ;c26 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.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).  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. 0aSocial sciencesxResearchxData processing. 0aData mining. 0aPython (Computer program language). 7aPython (Computer program language).2fast0(OCoLC)fst01084736 7aSocial sciencesxResearchxData processing.2fast0(OCoLC)fst01122948  a7bcbcccopycatd2encipf20gy-gencatlg  2ddccBKe23h300.72iH678fkCIRm2023n0  00102ddc4070aCSPCbCSPCcCIRd2025-07-16l0oCIR 300.72 H678f 2023p029685r2025-07-16 14:32:42t1-1w2025-07-16yBK  c29750d29750