Data Analysis Graphs

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host Technology Hall web analytics Professional tools in addition to Google Analytics, Adobe Sitecatalyst, Webtrends, Tencent analysis and Baidu Statistics, I think the most commonly used data processing tools is Excel, Excel inside the most basic is ...

The author of this article: Wuyuchuan &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; The following is my experience in the past three years to do all kinds of measurement and statistical analysis of the deepest feelings, or can be helpful to everyone. Of course, it is not ABC's tutorial, nor detailed data analysis method introduction, it is only "summary" and "experience." Because what I have done is very miscellaneous, I do not learn statistics, mathematics out ...

Absrtact: Product Manager, what do you know about the needs of users? Do you have any idea what the user wants? Do you want to know what the user will think of your product? Do you want to know the reputation of the product you designed? Yes. 　　Each product manager is a product manager, how much do you know about the needs of users? Do you have any idea what the user wants? Do you want to know how users will look at your products? Yes. Every product manager wants to start the project design before ...

How much does the product manager know about the needs of the users? Do you know what kind of product users are looking for? Do you want to know what the user will think of your product? Do you want to know if the product you designed is good or bad in the user's opinion? There is no doubt that every product manager wants the product to start the design, you can get the user the most real needs, can provide good support for their own product design; Every product manager wants his product to be approved and liked by the user. Each product manager wants the user to be able to use the product in the process, for the product ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Do companies rely on large data analysis to predict, does that mean big data can reduce corporate risk? At present, some companies are conducting large data analysis. CIOs, CFOs, auditors, and others who have risk-monitoring requirements are trying to use business intelligence tools to try to quantify the level of risk they face, such as common project analysis, setting market goals, and so on. Large data analysis is not a risk "prophet" without data analysis, the CIO is likely to face failure. The media on the CIO selection failure cases are not uncommon, enterprises suffered from the loss is self-evident. With the ...

Absrtact: In the "Big Data Age", the news communication must be influenced by mass, fast and mixed information, which has changed profoundly in the form of communication, the mode of communication, the content of communication and influence. This paper tries to explore how to use large data technology to improve the information, speed and precision of communication, enlarge the coverage and influence effect of data, and to understand the characteristics and rules of news editing and distribution under the condition of large data. Keywords: large data dissemination characteristics, news dissemination power, the dissemination force reconstruction "Big Data Age" came, massive data burst "small ...

With the full integration of it and communication technology into the social life, the huge amount of data generated every day contains great value, the data is becoming the strategic assets of enterprises. 　　It is one of the strategic directions of various industries, especially the telecom industry, to acquire new cognition and method from the mass data and create new value. Telecom operators are expected to become big Data Navigator Big data to our first feeling is big, then big Data how big? 　　A set of data called "one day on the internet" can give us some reference. During the day, all the content that the Internet produces can be engraved with 1.6 ...