这一部分使用R基础已安装包中的state.x77数据集.该数据集的数据是关于美国50个州在1977年对人口,收入,文盲率,平均寿命,谋杀率,高中毕业率统计所得. 1.关联的种类(types of correlations) (1)PEARSON,SPEARMAN,KENDALL CORRELATIONS ·Pearson:评估两个数值变量间的线性关系的程度的暂时性关联: ·Spearman’s Rank Order:评估两个有排序关系的变量的相关率: ·Kendall's Tau:是非参数参与的…

NumPy: Basic Statistics from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=13 Average versus median You now know how to use numpy functions to get a better feeling for your data. It basically comes down to im…

Spark MLlib提供了一些基本的统计学的算法,下面主要说明一下: 1.Summary statistics 对于RDD[Vector]类型,Spark MLlib提供了colStats的统计方法,该方法返回一个MultivariateStatisticalSummary的实例.他封装了列的最大值,最小值,均值.方差.总数.如下所示: val conf = new SparkConf().setAppName("Simple Application").setMaster(&quo…

三. 柱状图(Histogram) 1. hist():画柱状图 ·breaks(可选项):控制柱状图的小柱子的条数: ·freq=FALSE:基于概率(probability),而非频率(frequencies),绘制图形. ·还可以有其他参数,如:xlab,ylab,main,col,lwd... 2. lines():在已有图形上添加线条. 3. box():给已有图形添加一个框. 4. rug() 5. diff() 6.box() 例07: > par(mfrow=c(2,2))>…

1. 创建新的变量 variable<-expression expression:包含一组大量的操作符和函数.常用的算术操作符如下表: 例1:根据已知变量,创建新变量的三种途径 > mydata<-data.frame(x1=c(2,2,6,4),x2=c(3,4,2,8)) > mydata$sumx<-mydata$x1+mydata$x2 > mydata$meanx<-(mydata$x1+mydata$x2)/2 >> attach(myd…

elaborate:详细说明 Data TypesJava categorizes data into different types, and only certain operationscan be performed on a particular type of data. Data type: A set of values together with a set of operations on those values.Primitive Data Types There are…

#---------------------------------------------------------------------# # R in Action (2nd ed): Chapter 7 # # Basic statistics # # requires packages npmc, ggm, gmodels, vcd, Hmisc, # # pastecs, psych, doBy to be installed # # install.packages(c("ggm&…

#---------------------------------------------------------------------# # R in Action (2nd ed): Chapter 7 # # Basic statistics # # requires packages npmc, ggm, gmodels, vcd, Hmisc, # # pastecs, psych, doBy to be installed # # install.packages(c("ggm&…

Statistics in Hive Statistics in Hive Motivation Scope Table and Partition Statistics Column Statistics Top K Statistics Implementation Usage Configuration Variables Newly Created Tables Existing Tables Examples Current Status (JIRA) This document de…

Why: real-world data are typically noisy, enormous in volume, and may originate from a hodgepodge of heterogeneous sources. mean; median; mode(most common value); distribution; Knowing such basic statistics regarding each attribute makes it easier to…