000 01401cam a2200253 i 4500
005 20231116160800.0
008 210113t20222022cauab b 001 0 eng d
010 _a 2021930733
020 _a9781544370453
_c9072.00
040 _aS.X.U.K
041 _aEnglish
082 0 4 _aR 006.312 SAL(DAT)
100 1 _aSaltz, Jeffrey S.,
245 1 0 _aData science for business with R /
_cJeffrey S. Saltz, Jeffrey M. Stanton.
260 _aNew Delhi
_bSage
_cc2022
300 _axxxii, 389 pages :
_billustrations, maps ; P.B.
_c23 cm
500 _aIntroduction: Data Science, Many Skills Chapter 1: Getting Started with R & RStudio Chapter 2: Rows and Columns Chapter 3: Data Munging Chapter 4: What’s My Function? Chapter 5: Beer, Farms, and Peas and the Use of Statistics Chapter 6: Sample in a Jar Chapter 7: Storage Wars Chapter 8: Pictures vs. Numbers Chapter 9: Map Mashup Chapter 10: Lining Up Our Models Chapter 11: What’s Your Vector, Victor? Chapter 12: Hi Ho, Hi Ho—Data Mining We Go Chapter 13: Word Perfect (Text Mining) Chapter 14: Shiny Web Apps Chapter 15: Time for a Deep Dive Includes index
650 0 _aBusiness
650 0 _aR (Computer program language)
650 0 _aCommercial statistics.
650 7 _aCommercial statistics.
700 1 _aStanton, Jeffrey M.,
_4auth.
942 _cMBA REF
999 _c10455
_d10455