Such as subdivision, historical yearbook, economic yearbook, statistical yearbook, literary yearbook, publishing yearbook, etc.

Extended data

What is the core of data analysis?

This is business.

The analysis logic of business maps to the processing logic of data analysis, and the tool of data analysis is a means to help us achieve results, which is universal in different business scenarios, so I think it is necessary to recommend this hardcore article to you.

First, "simple statistics"

Online comments say that liberal arts students can understand it ~ If you are going to start learning data analysis, knowledge of statistics is essential. This book is easy to understand, but the knowledge points are comprehensive, including the skills commonly used in daily work of data analysis: statistics and probability distribution, population and sample, confidence interval, hypothesis testing, regression analysis and so on.

Second, "R language actual combat"

If you want to do data analysis in R language, I suggest you read the book "Data Analysis in Simple Terms" recommended by me in the last issue, and then start reading this book. From the installation of tools to the realization of specific analysis methods in R language, it is a data analysis book worth reading with detailed explanation and strong operability.

Third, "using Python for data analysis"

Needless to say, the classic of this book must be recommended by someone who knows a little. One of the most classic data analysis books. The introduction of various databases is detailed and comprehensive, which is suitable for data analysts to read before advanced, and can meet the needs of most traditional enterprise data analysis.

Fourth, "data science in actual combat"

This book is known as "the bridge between data analysis and machine learning". For those who have done data analysis for a period of time, it is undoubtedly a good book with advanced and higher dimensions. It's hard to find a book that can make a smooth transition from simple data analysis to machine learning and data mining. I think this book is the best one in this field.

Verb (abbreviation of verb) data visualization

The first data visualization textbook in China, if you learn data visualization, this book is just needed! Is an introductory book on data visualization, which systematically introduces the related concepts and common sense of visualization. Compared with reference books, teaching materials are more difficult to read, but they can increase your understanding of visualization.

The beauty of data visualization of intransitive verbs

This book shows in detail what visualization can do and how to use it to change the world. To this end, more than 20 visualization experts were invited, ranging from artists, designers and critics to scientists, analysts, statisticians and so on. They introduced in detail how to use visualization in their respective fields.

Seven. Introduction to data mining

Among the data mining textbooks in recent years, there is a good book that has been used as a teaching material by data mining courses in many American universities. Because I personally think this book is not very easy for beginners to read, I put it at the end, and the difficulty is above average.

Above, recommended books can be used as reference books. No matter you are a beginner or an advanced person, you can read it again and again. Xiao Feng hopes to help you in learning data analysis.