touchpoint analysis

ImplementationThe function Summary () calculates the five-and mean-values of a set of data. >summary (Cars$speed) Min.1stqu.medianmean3rdqu.max. 4.012.015.015.419.025.0 5.3 Analysis of discrete trendsMeasure of 5.3.1 Discrete trendThe degree of dispersion of the data is mainly measured by the statistical index of the difference, four difference, average difference, variance, standard, etc. In the actual

First, IntroductionRecently in the study of Big data analysis related work, for which the use of the collection part used to Flume, deliberately spent a little time to understand the flume work principle and working mechanism. A personal understanding of a new system first, after a rough understanding of its rationale, and then from the source code to understand some of its key implementation part, and finally try to modify some of the content, so as

Introduction to LDA algorithmA LDA Algorithm Overview:Linear discriminant Analysis (Linear discriminant, LDA), also called Fisher Linear discriminant (Fisher Linear discriminant, FLD), is a classical algorithm for pattern recognition, It was introduced in the field of pattern recognition and artificial intelligence in 1996 by Belhumeur. The basic idea of sexual discriminant analysis is to project the high-d

Dynamic proxy class Principle (example code see Anatomy of the Java Reflection Mechanism (iii))A) understand the dynamic Agent sample process aboveA) understand the dynamic Agent sample process aboveb) Analysis of class source code for Proxy interface implementationLet's take a look at the source code of the Proxy implementation class ($Proxy 0) and the flow of the entire dynamic agent.$Proxy 0 generates the following code: Import Java.lang.reflect

http://mogu.io/156-156SummaryThe first one is to discuss what tools we can use to assist the analysis when there are problems with the Linux system, and to discuss the possible points and ideas when the problem arises, and hopefully to introduce some Linux kernel mechanisms to the application Layer development team to choose a more appropriate usage strategy.ObjectiveThe search team's servers in the previous period of time the CPU load is very high (

Reference to the current stage, the Internet competition has entered the white-hot, a variety of web sites such as the general spread throughout the land of God. But at the same time, the homogeneity of the website is also getting more and more serious, so how can the Shenwoo website do have the characteristic, do outstanding is the main purpose of this document. For the Shenwoo website, I have three steps to illustrate the following: First of all, the Shenwoo website has formed the content to

1.R language important data set analysis needs to be collated and analyzed to clarify the concept of?In the previous section, we talked about the R language mapping, and this section is about how to analyze the data when you get a data set, the first step in the analysis, and the exploratory data analysis. Statistics, which are several indicators of the data set

This article corresponds to "r language combat" the 9th chapter: Variance analysis; Chapter 10th: Efficacy Analysis====================================================================Variance Analysis:Regression analysis is to predict the quantified response variables by quantifying the Predictor variables, while the explanatory variables contain either nominal o

History of principal component analysis:Pearson was proposed in 1901 and then developed by Hotelling (1933) as a multivariate statistical method. Through the main components of the analysis to show the largest individual differences, but also to reduce the number of regression analysis and clustering variables, you can use the sample covariance matrix or correlation coefficient matrix as a starting point fo

20135125 Chen Zhiwei+ Original works reproduced please specify the source+ "Linux kernel analysis" MOOC course http://mooc.study.163.com/course/USTC-1000029000Experimental principle:1. Different types of processes have different requirements for scheduling requirements:First Category:-i/o-bound: Frequent I/O, often spending a lot of time waiting for I/O operations to complete-cpu-bound: Computationally intensive, requiring a lot of CPU time to perform

giving information such as section name, section size. The destination file used for the link must contain the section Header table, and the other destination files may or may not have this table.1. Analysis Elf file header (elf header)Enter terminal input: cd/usr/include/elf.h, view elf's file header contains the entire file control structureBy the way, choose a simple code example:Run the compilation to generate the elf executable file.Use the ' re