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Data Analysis

Winning Percentage Estimator Runs Per Game, Runs Allowed Per Game, Winning Percentage, and the Winning Percentage Estimators. This new data frame filters out some of the other columns we initially queried.In the cells in the upper right, where the estimators are plotted against each other, they form almost a perfect line. http://lattice.r-forge.r-project.org/ Runs Per Game and Runs Allowed Per Game are the leftmost and bott.. 더보기
[Coursera] Getting and Cleaning Data Getting and Cleaning DataPart of the "Data Science" Specialization »Learn how to gather and clean data from a variety of sources. This is the third course in the Johns Hopkins Data Science Specialization.Watch Intro VideoAbout the CourseBefore you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from th.. 더보기
[Coursera] R Programming R ProgrammingPart of the "Data Science" Specialization »Learn how to program in R and how to use R for effective data analysis. This is the second course in the Johns Hopkins Data Science Specialization.Watch Intro VideoAbout the CourseIn this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for.. 더보기
[Coursera] Computing for Data Analysis Computing for Data AnalysisPart of the "Data Science" Specialization »This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.Watch Intro VideoAbout the CourseIn this course you will learn how to program .. 더보기