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Python for marketing research and analytics / / Jason S. Schwarz, Chris Chapman and Elea McDonnell Feit
| Python for marketing research and analytics / / Jason S. Schwarz, Chris Chapman and Elea McDonnell Feit |
| Autore | Schwarz Jason S. |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 272 p. 90 illus., 79 illus. in color.) |
| Disciplina | 519.5 |
| Soggetto topico |
Python (Computer program language)
Marketing research R (Computer program language) |
| ISBN | 3-030-49720-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Basics of Python -- Chapter 1: Welcome to Python -- Chapter 2: The Python Language -- Part II Fundamentals of Data Analysis -- Chapter 3: Describing Data -- Chapter 4: Relationships Between Continuous Variables -- Chapter 5: Comparing Groups: Tables and Visualizations -- Chapter 6: Comparing Groups: Statistical Tests -- Chapter 7: Identifying Drivers of Outcomes: Linear Models -- Chapter 8: Additional Linear Modeling Topics -- Part III Advanced data analysis -- Chapter 9: Reducing Data Complexity -- Chapter 10: Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations -- Chapter 11: Classification: Assigning observations to known categories -- Chapter 12: Conclusion -- Index. |
| Record Nr. | UNINA-9910483326403321 |
Schwarz Jason S.
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| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Python for marketing research and analytics / / Jason S. Schwarz, Chris Chapman and Elea McDonnell Feit
| Python for marketing research and analytics / / Jason S. Schwarz, Chris Chapman and Elea McDonnell Feit |
| Autore | Schwarz Jason S. |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 272 p. 90 illus., 79 illus. in color.) |
| Disciplina | 519.5 |
| Soggetto topico |
Python (Computer program language)
Marketing research R (Computer program language) |
| ISBN | 3-030-49720-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Basics of Python -- Chapter 1: Welcome to Python -- Chapter 2: The Python Language -- Part II Fundamentals of Data Analysis -- Chapter 3: Describing Data -- Chapter 4: Relationships Between Continuous Variables -- Chapter 5: Comparing Groups: Tables and Visualizations -- Chapter 6: Comparing Groups: Statistical Tests -- Chapter 7: Identifying Drivers of Outcomes: Linear Models -- Chapter 8: Additional Linear Modeling Topics -- Part III Advanced data analysis -- Chapter 9: Reducing Data Complexity -- Chapter 10: Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations -- Chapter 11: Classification: Assigning observations to known categories -- Chapter 12: Conclusion -- Index. |
| Record Nr. | UNISA-996418198303316 |
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Schwarz Jason S.
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| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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R For Marketing Research and Analytics [[electronic resource] /] / by Chris Chapman, Elea McDonnell Feit
| R For Marketing Research and Analytics [[electronic resource] /] / by Chris Chapman, Elea McDonnell Feit |
| Autore | Chapman Chris |
| Edizione | [2nd ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (492 pages) |
| Disciplina | 519.502855133 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Marketing Statistics and Computing/Statistics Programs Statistics for Business, Management, Economics, Finance, Insurance R (Computer program language) |
| ISBN | 3-030-14316-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Welcom to R -- Chapter 2: An Overview of the R Language -- Chapter 3: Describing Data -- Chapter 4: Relationships Between Continuous Variables -- Chapter 5: Comparing Groups: Tables and Visualizations -- Chapter 6: Comparing Groups: Statistical Tests -- Chapter 7: Identifying Drivers of Outcomes: Linear Models -- Chapter 8: Reducing Data Complexity -- Chapter 9: Assorted Linear Modeling Topics -- Chapter 10: Confirmatory Factor Analysis and Structural Equation Modeling -- Chapter 11: Segmentation: Clustering and Classification -- Chapter 12: Association Rules for Market Basket Analysis -- Chapter 13: Choice Modeling -- Chapter 14: Marketing Mix Models -- Appendix A: R Versions and Related Software -- Appendix B: Scaling Up -- Appendix C: Packages Used -- Appendix D: Online Materials and Data Files. |
| Record Nr. | UNINA-9910338256503321 |
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Chapman Chris
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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R for Marketing Research and Analytics [[electronic resource] /] / by Chris Chapman, Elea McDonnell Feit
| R for Marketing Research and Analytics [[electronic resource] /] / by Chris Chapman, Elea McDonnell Feit |
| Autore | Chapman Chris |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (459 p.) |
| Disciplina | 519.502855133 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Marketing R (Computer program language) Statistics for Business, Management, Economics, Finance, Insurance Statistics and Computing/Statistics Programs |
| ISBN | 3-319-14436-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Welcome to R -- The R Language -- Describing Data -- Relationships Between Continuous Variables -- Comparing Groups: Tables and Visualizations -- Comparing Groups: Statistical Tests -- Identifying Drivers of Outcomes: Linear Models -- Reducing Data Complexity -- Additional Linear Modeling Topics -- Confirmatory Factor Analysis and Structural Equation Modeling -- Segmentation: Clustering and Classification -- Association Rules for Market Basket Analysis -- Choice Modeling -- Conclusion -- Appendix: R Versions and Related Software -- Appendix: Scaling up -- Appendix: Packages Used -- Index. |
| Record Nr. | UNINA-9910299777503321 |
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Chapman Chris
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||