data analysis and interpretation book

[Brief Description :]This chapter focuses on the Value Type and reference type. The Value Type describes BigInteger and Nullable Section 1 Use of the numeric type 1. Automatic and forced conversion of value typesWhen the value type is changed from "large to small"-for example, if the double type is converted to the float type, forced conversion is required, which may cause data loss. Therefore, the code is considered as a defect code, you only need t

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

; } The last algorithm is awesome. It's just N-order. You can think about how fast the algorithm is, and if it's all negative, you can also read the data at any time and release the powerful memory functions at any time. Which language is better to describe how to learn Data Structure and algorithm analysis? C/C ++? If you are not very familiar with C

This article is a computer class of high-quality pre-sale recommendation >>>>"The Art of Game data analysis"ObjectiveWhy did you write this book ?Cannot be measured, it cannot be improved. every product is a work of art, the game is a product, so the game is also artwork. However, products need users, users and products need to be measured, in-depth

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

Preface: Completely do not understand the data analysis, statistics also forget the almost small white began to learn data analysis. Read the "In-depth data analysis", the data

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

grid data; then, it introduces spatial point pattern analysis, interpolation and geographic statistics analysis, surface data, spatial self-correlation analysis, and surface data modeling. Finally, it introduces the application o

This project mainly explains a set of big data statistical analysis platform which is applied in Internet e-commerce enterprise, using Java, Spark and other technologies, and makes complex analysis on the various user behaviors of e-commerce website (Access behavior, page jump behavior, shopping behavior, advertising click Behavior, etc.). Use statistical

1, to use Python to do data analysis, first get familiar with the Python language, recommend a primer: stupid method to learn python (learn Python), this book in a very interesting way to explain the basic Python syntax, Ideal for non-computer majors as an introductory book to look at.2, using Python to do

DirectoryPreface 1Chapter 1th Preparation of work 5Main contents of this book 5Why use Python for data analysis 6Important Python Library 7Setup and Setup 10Communities and Seminars 16Using this book 16Acknowledgements 18Chapter 2nd Introduction 201.usa.gov data from bit.ly