data analysis and interpretation books

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Data analysis and modeling _ Data analysis

Copyright Description: Content from the internet and books Principal component Analysis PCA1. Basic Ideas Principal component Analysis (PCA) is a kind of reduced-dimension method for continuous variables, which can maximize the interpretation of data variation, reduce

[Daily circuit diagram] 2, infrared remote control circuit principle design and analysis of "Turn + interpretation"

demodulation after the output, after R2, C3 integral (filtering each group of pulses in the encoding information), increases from the IC2 1 feet, as the lC2 Count Pulse (about 10 pulses per second). 1c2 after receiving 8 pulses (about 0 8s), its 6 feet become low or high, so that V and VT on or off, the load (electrical equipment) work power is connected or disconnected.Five, Component selection:RL-R5 Select "/4w Carbon Film resistor or metal film roar resistance device.C1 Select a polyester ca

MySQL Binlog maintenance detailed analysis (open, Binlog related parameters function, Mysqlbinlog interpretation, binlog delete)

with the 199th byte; "End_log_pos 306" is the end of the No. 306 byte, the next event will start at the end of an event and cycle.Timestamp > Time stamp of event occurred: "170530 19:42:52"Event Execution Time > Event Execution time Spent: "Exec_time=0"Error code > Error code: "Error_code=0"Identity > Server identity ID for server: "Server ID 1"6.2 Use the Mysqlbinlog tool to view the specified timestamp binlog[Email protected] ~]# mysqlbinlog--start-datetime= "2017-05-30 19:42:52"/var/lib/mysq

Spark Release Notes 10:spark streaming source code interpretation flow data receiving and full life cycle thorough research and thinking

, because receiver is started by Receiversupervisor, In turn, receiver will store data via Receiversupervisor after receiving the data.The stored meta-data is then reported to the driver side.V: Is driver, manipulating metadata through metadata pointers, manipulating the specific data content on other machines based on the pointer address, and showing the results

Linux system performance analysis (top command) and more accurate interpretation of memory occupancy (free-m command)

entities through its read and write operations. This means that you can make adjustments to the current kernel behavior by modifying the files in the/proc. Then we can release the memory by adjusting the/proc/sys/vm/drop_caches. The operation is as follows:Cat/proc/sys/vm/drop_caches Viewing default valuesTo perform the sync command manually, the Sync command writes all the non-writable system buffers to disk, including modified I-node, deferred block I/O, and read-write mapping files.# echo 3

Algorithm Interpretation: Data structure

What is a data structure?Effective management mechanisms for large amounts of data. There are many types of data structures used when describing computer algorithms:Arrays: Data structures for continuous arrangement of data, with data

Spark large-scale project combat: E-commerce user behavior analysis Big Data platform

, the project covers almost all the functional points, knowledge points, and performance optimization points in the three technical frameworks of Spark Core, spark SQL and spark streaming. With just one project, you can get a complete grasp of how spark technology can meet all types of business needs in real-world projects! In the project, focus on the real enterprise projects accumulated valuable performance tuning, troubleshooting and data tilt solu

The art of Game data analysis--Interactive publishing network

, and never have detailed material or books on the game data analysis of a comprehensive exposition. The data analysis is to solve the problem first. data analysis focuses on the transf

Analysis and research of important data sets of R language--need to collate analysis and clarify the concept

principal component analysis, we can effectively use a large amount of data for quantitative analysis and reveal the intrinsic relationship between variables. How to explain principal component analysis (1) We know that the principal component analysis is a ne

Python data analysis, R language and Data Mining | learning materials sharing 05, python Data Mining

Python data analysis, R language and Data Mining | learning materials sharing 05, python Data Mining Python Data Analysis Why python for data analy

Data charm: data analysis based on open-source tools

Data charm: data analysis based on open-source tools Basic Information Author: (US) yanert (janert, K. P .) Translator: Huang Quan, Lu Changhui, Xu xuemei, Fei Liufeng Press: Tsinghua University Press ISBN: 9787302290988 Mounting time: Published on: February 1, July 2012 Start: 16 Page number: 1 Version: 1-1 Category: Computer> Computer science theory and basic k

"Go" Data analysis/Data mining entry-level player recommendations

1. Data analysis and data mining linkages and differencesContact: are engaged in data differences: data analysis of the statistical, visualization, reporting and reporting, the need for strong expression ability. The

Study Notes on data structure and algorithm analysis (3)-linked list ADT and Data Structure linked list

language is good, data structure and algorithm analysis is also quite good,Introduction: Data Structure and Algorithm Analysis is a simplified Chinese Translation of Data Structures and Algorithm Analysis in C. The original book

Data analysis Overview

For data analysis, I believe that every enterprise that uses the information system has its own understanding. Some of them come from books, some from work experience, and some from software supply. However, enterprises and information systems I know have different definitions of data reports and basic understanding of

Data analysis Methodology of "reprint" Avenue to Jane

http://www.36dsj.com/archives/40569Yang Yonghong Technology Vice PresidentIntroduction: Do you find it painful to study data analysis methods? In this paper, the author summed up a set of easy-to-understand and easy-to-use data analysis methodology, so that beginners quickly grasp the

Winter solstice listening to snow sharing--Getting started with data analysis

This article key words: Data analysis Foundation, data analysis Getting StartedData analysis is the basis of data mining, data mining is the advanced stage of

Spatial Data Analysis and R language practices

1527.5 some applications in spatial epidemiology 1537.5.1 case control study 1537.5.2 binary regression estimation 1587.5.3 binary regression 159 using a generalized plus Model7.5.4 point source pollution 1617.5.5 space aggregation evaluation 1637.5.6 interpretation of Mixed Variables and co-variables 165Method for Analyzing the 7.6-Point Mode: 168Chapter 2 interpolation and Geographic Statistics 8th8.1 overview 1708.2 exploratory

How to write a good data analysis report

let you solve the problem; Xi. do not fear or avoid "bad conclusions", analysis is to find the problem, and to solve the problem to provide a basis for decision-making, found that the product problem is also your value, I believe your boss invited you to come, not light let you sing the praises, he wants is not a whitewash tool, found product problems, It is the value of your analysis to resolve product de

MATLAB data analysis and mining actual combat

This is a computer database storage and management class of high-quality pre-sale recommendation "MATLAB data Analysis and mining actual combat". A number of senior data mining experts more than 10 years of practical experience crystallization, in-depth interpretation of the various aspects of

Four Misunderstandings in Game Analysis in the big data cloud Era

In recent years, with the popularity of big data and the rapid development of big data technology, data analysis and data mining have received increasing attention from enterprises, especially in the gaming industry, more and more data

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