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Titlebook: R for Marketing Research and Analytics; Chris Chapman,Elea McDonnell Feit Textbook 2015 Springer International Publishing Switzerland 2015

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樓主: 萌芽的心
31#
發(fā)表于 2025-3-26 22:38:10 | 只看該作者
Relationships Between Continuous VariablesWhile it is helpful to understand single variables, such as how many products are sold at a store, more valuable insight emerges when we understand relationships such as “Customers who live closer to our store visit more often than those who live farther away,” or “Customers of our online shop buy a
32#
發(fā)表于 2025-3-27 05:00:01 | 只看該作者
33#
發(fā)表于 2025-3-27 05:42:57 | 只看該作者
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發(fā)表于 2025-3-27 11:11:07 | 只看該作者
35#
發(fā)表于 2025-3-27 17:06:37 | 只看該作者
36#
發(fā)表于 2025-3-27 20:27:00 | 只看該作者
Association Rules for Market Basket Analysisare tracked over time in a customer relationship management (CRM) system, sequences of visits and actions on a Web site, and records of customer support calls. These records are very valuable to marketers and inform us about customers’ purchasing patterns, ways in which we might optimize pricing or
37#
發(fā)表于 2025-3-27 21:57:57 | 只看該作者
Identifying Drivers of Outcomes: Linear Models, as a function of predictor variables (also known as . or . variables). Once a relationship is estimated, one can use the model to make predictions or forecasts of the likely outcome for other values of the predictors.
38#
發(fā)表于 2025-3-28 04:21:17 | 只看該作者
Textbook 2015l point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visua
39#
發(fā)表于 2025-3-28 08:50:42 | 只看該作者
40#
發(fā)表于 2025-3-28 13:10:48 | 只看該作者
Association Rules for Market Basket Analysisrt calls. These records are very valuable to marketers and inform us about customers’ purchasing patterns, ways in which we might optimize pricing or inventory given the purchase patterns, and relationships between the purchases and other customer information.
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