Analysis of Book Two of The Politics

The second volume of Political Science in Volume 2 of "Political Science" analyzes the use of some examples of Aristotle's political system and shows the essence of political life to readers. In discussing the content and content contained in these systems and discussing issues related to these systems, Aristotle will read political views by Aristotle's own theory and by studying the consistency of all these systems . The three stories of political life, which is a matter of comprehensive view of life view, is most useful for understanding Aristotle's own theory. He thoroughly examined these systems, remembered those mistakes, and celebrated.

For analysis of this book, we use two analyzes, text analysis and graph theory analysis. The former consists of text analysis of books, and these words are used as atomic elements of analysis. The latter uses the former to create interactions between characters in a graphical (or network) modeling book. A simple question: How many symbols, sums, and different words are included in this book? Marquez, for his last draft of his book, his typewriter buttons 809, 644 times. Loneliness of a century includes 144,739 words, and the number of different words is 11027. There are 11k or more different words!

This part of the analysis of this book explains S.E's book "The Outsiders". Hinton, I will explain how to write her. The wording of dialogue among gang members is street slang. In descriptive texts, not so simple words, more descriptive and artistic words (eg setting up and role development). In this book there are usually some concerns in the middle of the chapter to let the reader read the next what is going on. An example of suspense is that when the community tries to flood the Ponyboy - there is uncertainty and I am worried about what will happen next. How to develop a plot is easy to understand and understand - the author does not complicate it too much

In data analysis we are going beyond the scope of this book to explain the data analysis in detail, but there are some simple tools that can be used to analyze the data. In other words, there are two analysis tools for descriptive analysis and reasoning analysis. Descriptive statistics describe sample 1 and inference statistics are used to determine relationships between samples. This guide only describes descriptive statistics tools. As mentioned above, the type of descriptive statistics used depends on the type of data collected, ie discrete or continuous. The goal when writing data is to use a number (or less) as a summary for large datasets. For discrete data, the summary is usually in the form of frequency and percentage. Frequency is the number of each category, and the percentage is a standard measure of frequency by dividing frequency by the total number of cases (participants).