找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: R For Marketing Research and Analytics; Chris Chapman,Elea McDonnell‘Feit Book 2019Latest edition Springer Nature Switzerland AG 2019 R.St

[复制链接]
查看: 7800|回复: 58
发表于 2025-3-21 17:46:09 | 显示全部楼层 |阅读模式
书目名称R For Marketing Research and Analytics
编辑Chris Chapman,Elea McDonnell‘Feit
视频video
概述Introduces R specifically for marketing applications.Provides the background in R syntax necessary to accomplish immediate tasks.Includes updated R code and packages.Presents a complete approach to te
丛书名称Use R!
图书封面Titlebook: R For Marketing Research and Analytics;  Chris Chapman,Elea McDonnell‘Feit Book 2019Latest edition Springer Nature Switzerland AG 2019 R.St
描述.The 2nd edition of .R for Marketing Research and Analytics. continues to be the best place to learn R for marketing research. This book. .is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual 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 visualization, which is presented throughout as an integral part of analysis..Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.. .With its emphasis on data visua
出版日期Book 2019Latest edition
关键词R; Statistics; Marketing research; Data science; Marketing analytics; Econometrics; Machine Learning; Compu
版次2
doihttps://doi.org/10.1007/978-3-030-14316-9
isbn_softcover978-3-030-14315-2
isbn_ebook978-3-030-14316-9Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

书目名称R For Marketing Research and Analytics影响因子(影响力)




书目名称R For Marketing Research and Analytics影响因子(影响力)学科排名




书目名称R For Marketing Research and Analytics网络公开度




书目名称R For Marketing Research and Analytics网络公开度学科排名




书目名称R For Marketing Research and Analytics被引频次




书目名称R For Marketing Research and Analytics被引频次学科排名




书目名称R For Marketing Research and Analytics年度引用




书目名称R For Marketing Research and Analytics年度引用学科排名




书目名称R For Marketing Research and Analytics读者反馈




书目名称R For Marketing Research and Analytics读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:23:27 | 显示全部楼层
发表于 2025-3-22 01:03:44 | 显示全部楼层
发表于 2025-3-22 05:31:07 | 显示全部楼层
发表于 2025-3-22 10:13:01 | 显示全部楼层
Comparing Groups: Tables and Visualizationsc segment can best afford our product? Does the product appeal more to homeowners or renters? The answers help us to understand the market, to target customers effectively, and to evaluate the outcome of marketing activities such as promotions.
发表于 2025-3-22 14:09:19 | 显示全部楼层
发表于 2025-3-22 21:03:55 | 显示全部楼层
发表于 2025-3-22 22:23:22 | 显示全部楼层
Reducing Data Complexity might have many items on a consumer survey that reflect a smaller number of underlying concepts such as . with a service, . for a brand, or . for a product. If we can reduce the data to its underlying dimensions, we can more clearly identify the underlying relationships among concepts.
发表于 2025-3-23 05:10:19 | 显示全部楼层
发表于 2025-3-23 06:31:43 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-7 12:23
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表