000			a
999			_c198813 _d198813
020			_a9789352605248
020			_a9352605241
040			_cCUS
082			_a006.312 _bACH/D
100			_aAcharya, Seema
245			_aData analysis using R/ _cSeema Acharya
260			_aNew Delhi: _bMcGraw Hill Education, _c2019.
300			_axxiii, 555 p. ; _c24 cm.
505			_a1. Introduction to R 2. Getting started with R 3. Loading and handling data in R 4. Exploring data in R 5. Linear regression using R 6. Logistic regression 7. Decision tree 8. Time series in R 9. Clustering 10. Association rules 11. Text mining 12. Parallel computing with R
650			_aParallel computing
650			_aClustering
650			_aExploring data in R
942			_cWB16