驾驶 发表于 2025-3-23 11:52:08

Preliminaries and Auxiliary Results,This chapter covers data exploration, validation, and cleaning required for data analysis. You’ll learn the purpose of data cleaning, why you need data preparation, how to go about handling missing values, and some of the data-cleaning techniques used in the industry.

Anal-Canal 发表于 2025-3-23 14:57:55

https://doi.org/10.1007/978-94-017-2223-0In both types of regression, we have a dependent variable or response variable as a continuous variable that is normally distributed.

秘传 发表于 2025-3-23 19:09:07

Introduction to R,This chapter introduces the R tool, environment, workspace, variables, data types, and fundamental tool-related concepts. This chapter also covers how to install R and RStudio. After reading this chapter, you’ll have enough foundational topics to start R programing for data analysis.

figure 发表于 2025-3-23 22:13:02

http://reply.papertrans.cn/20/1921/192030/192030_14.png

摊位 发表于 2025-3-24 05:47:37

Business Analytics Process and Data Exploration,This chapter covers data exploration, validation, and cleaning required for data analysis. You’ll learn the purpose of data cleaning, why you need data preparation, how to go about handling missing values, and some of the data-cleaning techniques used in the industry.

山羊 发表于 2025-3-24 08:02:48

Logistic Regression,In both types of regression, we have a dependent variable or response variable as a continuous variable that is normally distributed.

易受骗 发表于 2025-3-24 10:46:09

https://doi.org/10.1007/978-1-4842-2514-1Busniess; Analytics; Business Analytics; R; Descriptive Analytics; Predictive Analytics; Data Mining; LInea

技术 发表于 2025-3-24 18:12:40

Dr. Umesh R. Hodeghatta and Umesha Nayak 2017

治愈 发表于 2025-3-24 23:04:26

,The Gurov–Reshetnyak Class of Functions,ervation, but also confirmed by actually doing and then extended by experimenting further. Knowledge thus gathered was applied to practical fields and extended by analogy to other fields. Today, knowledge is gathered and applied by analyzing, or deep-diving, into the data accumulated through various

Transfusion 发表于 2025-3-25 02:34:45

Preliminaries and Auxiliary Results,nt concepts required for data analysis, including reading various types of data files, storing data, and manipulating data. We also discuss how to create your own functions and R packages. After reading this chapter, you will have a good introduction to R and can get started with data analysis.
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查看完整版本: Titlebook: Business Analytics Using R - A Practical Approach; Umesh R. Hodeghatta,Umesh Nayak Book 20171st edition Dr. Umesh R. Hodeghatta and Umesha