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Data analysis

Books published by People's Daily Press in 2011
open 2 entries with the same name
Data Analysis was published in November 2011 People's Daily Press publish The author is Li Yongxin.
Chinese name
Data analysis
Author
Li Yongxin
Publication time
November 12, 2011
press
People's Daily Press
Number of pages
168 pages
ISBN
nine trillion and seven hundred and eighty-seven billion eight hundred and one million four hundred and eight thousand three hundred and three
Category
Textbook for civil servants
Pricing
20 yuan
Folio
16 ON
Binding
paperback

content validity

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Data analysis is Civil service examination in Aerial survey A type of question of. There are four basic types of data: text data, table data, graphic data and comprehensive data (mainly the combination of the three basic data above). Comprehensive examination of candidates read understand analysis calculation And so on. According to the analysis of the real questions over the years, the material types of the data analysis part mainly include the following four types, namely, the text type, the table type, the graphic type and the comprehensive type composed of any combination of the three forms.
Data analysis questions are mainly divided into direct questions, calculation questions and comprehensive analysis questions. A direct question is a question that can be answered directly from the information given by the question; A calculation question is a question that can be answered only after certain mathematical operations; The comprehensive analysis question requires the candidate to judge the correctness of several statements respectively, and then make choices according to the requirements of the question.
According to the content and form of the test questions, data analysis questions can be divided into: text analysis, table analysis, picture analysis and comprehensive data analysis questions. Different forms lead to different coping skills. These types of data analysis questions are often found during the exam, so it is necessary to train more in China Government Office Survey Carry out intensive training in the online question bank data analysis area.

Key points

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Comprehensive analysis, judgment and reasoning ability of the given data (usually statistical data in the civil service examination). In the exam, it also involves the examination of computing ability.
The modern society is an information society, and a large amount of information is often reflected through statistical data. To make a correct and timely decision, we must be able to quickly analyze and process these comprehensive information in a more abstract form, and find the "key points" needed from the boring form. Only in this way can we make a targeted plan. As a civil servant, the ability of data analysis and judgment will directly affect the development and effectiveness of the work.
Data analysis mainly tests the comprehensive understanding, analysis and processing ability of candidates to various forms of text, charts and other data. This part is usually composed of statistical charts, figures and text materials.

In-depth analysis

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Introduction to National Civil Servant Examination Outline
Data analysis is mainly used to test the comprehensive understanding, analysis and processing ability of candidates to various forms of text, graphics, tables and other data. This part is usually composed of data, statistical figures, charts and text materials. There are generally 1-5 questions in a paragraph of data. Candidates need to analyze, compare and calculate according to the information provided by the data, and choose the answer that meets the meaning of the question from the four alternative answers.
Analysis of the Changes of the True National Examination Questions over the Years
The following table gives a detailed analysis of the basic information of the data analysis part of the national travel survey real questions from 2005 to 2010, such as question types, number of questions, examination sites and selection scope:
Through careful study of the real questions in the data analysis part of the national travel test over the years, we find that it has the following significant characteristics:
In 2010, the examination position of the data analysis part was advanced from the fifth part of previous years to the fourth part; The total number of questions has increased from 20 to 25, and the way of question setting has not changed. It still corresponds to 5 subtopics behind one piece of data (exception in 2008: the first and second materials in 2008 correspond to 6 and 4 subtopics respectively).
In the past two years, comprehensive materials have become the main inspection method, and the number of materials is on the rise; Graphic materials are generally combined with other materials for examination; Table material is a required test item over the years.
Pay attention to the examination of regular test concepts, and increase the number of questions examined by combining multiple concepts, including year on year, proportion, average Annual average growth rate , multiples, etc.
From the analysis of question types, the calculation question is the question with the highest proportion of examination. In recent years, the data involved in the calculation has increased, and the calculation difficulty has also increased accordingly; The number of comprehensive analysis questions is stable, which is more difficult than calculation questions.
The content of the materials is generally related to the hot issues of high social concern that year. For example, the content of the first material of the analysis of the real national examination questions in 2009 is related to the weather conditions in Beijing during the Olympic Games; The fifth material is from the series of reports on the 60th anniversary of the founding of the People's Republic of China Public health system part.
basic strategies
In the data analysis, a large number of unfamiliar nouns and data will give the examinee a feeling of confusion and incomprehension. Based on years of public examination coaching and training experience, public education experts have summarized the following test preparation strategies to help candidates cope with the data analysis questions in the test efficiently.
Solutions
Quickly browse the materials, master their main contents, carefully analyze the following problems, select and read the materials pertinently, and analyze the data relationship. When encountering calculation problems, lock relevant data according to the topic to the material, combine the different usages of the computational concepts introduced in this book, integrate relevant data, and list the correct formula; If it is a comprehensive analysis question, it will be analyzed according to the characteristics of the options.
When calculating, do not blindly calculate, and select appropriate calculation skills in combination with options. After the formula is listed, you can compare the numerical values according to the characteristics of the data in the formula digit , mantissa method and other methods exclude some options, and then use other calculation techniques such as scaling method for fast calculation.
Move to the next question quickly after the answer is given. When encountering questions that cannot be solved temporarily give up Don't waste time blindly.
Review Guide
widen the span of knowledge
Data analysis materials mainly involve Economics In terms of people's life, resources and environment, science, education, culture and health, the data mainly come from statistical bulletins and analysis reports of authoritative institutions, industry statistical materials, hot current events and relevant news of the year, etc. Please pay more attention to the accumulation of this aspect at ordinary times.
Increase reading speed
Material reading is an important part of data analysis and problem solving. Candidates should consciously exercise their ability of fast reading in the usual exercise to save time.
Exercise quick calculation ability
In view of the characteristics of large amount of data analysis and short time, examinees should strengthen the training of quick calculation ability to ensure fast problem solving in limited time.

Problem solving skills

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Data analysis It is one of the five modules of the civil service examination "Administrative Professional Competence Test", which is usually composed of charts, figures and written materials. It mainly examines the comprehensive understanding and analytical processing ability of candidates. Data analysis Among the five types of questions in the administrative vocational ability test, it is not the part with high technical content. Its knowledge and skills are relatively concentrated, and it is not difficult to master the essentials. Four tips to help you break through the analysis of travel test data.
Illustration of the Outline for Analysis of Civil Service Examination Data
First move: Deeply understand the outline of civil service examination data analysis
Data analysis mainly tests the ability of candidates to comprehensively understand, analyze and process various forms of text, graphics, tables and other materials. This part is usually composed of data, statistical figures, charts and text materials. General for a section of data
There are 1-5 questions. Candidates need to analyze, compare and calculate according to the information provided in the data, and choose the answer that meets the meaning of the question from the four alternative answers. It can be said that the test questions of the data analysis test focus on the examinee's ability to conduct comprehensive analysis and processing of data and statistical data in the form of words, graphs and tables. The examinee should not only be able to read statistical charts, that is, accurately grasp the meaning of various data and their relationships, but also be able to grasp the laws of data through simple mathematical operations, So as to guide, orient and adjust our work and study.
The second move: three reading methods
It is a basic ability to quickly outline the material structure and accurately lock the data position when doing questions. For text materials, we must master the "paragraph centered method"; For topics containing special numbers, letters and symbols, "keyword search method" will bring us great convenience; For tables, histograms and trend charts, the "horizontal and vertical target positioning method" is the fastest way to lock the required data. The basic operation methods of these three structures can help the examinees to remove the obstacles in finding data, save time and improve efficiency. First, you should understand the figure, table or text. The data analysis test questions are based on the information reflected in figures, tables or words. If you cannot understand the data, you will lose the prerequisite for answering the questions. Therefore, the reading and understanding of chart contents should be the primary condition for correct answer. When reading materials, it is better to read with the questions in the questions, and pay attention to extracting important information related to the test questions. On the one hand, this is conducive to the understanding of the data, on the other hand, it can also reduce the time of reading the data repeatedly when answering questions.
Third move: three groups of important information
First of all, in the examination room, do not wrongly lose points because of the dislocation of time, unit or some special concepts; Secondly, some special skills can help us to do questions, such as making appropriate marks on the questions, making qualitative analysis of statistical graphs or replacing actual data with the scale of tools, solving combinatorial and selective questions by exclusion, and making quick choices with basic knowledge under the condition of limited time, All these are practical skills to help us solve problems; Finally, only when you understand the overall strategy of avoiding the heavy and taking the light, easy before difficult, and fully understand the essence of joint options to work together, can you really understand the strategy of getting high scores from the thought.
Fourth move: quick calculation skills
In data analysis, almost all complex calculations can be simplified because we can use ten different quick calculation techniques to deal with various situations: if the options or numbers to be compared are very different, estimation is the first choice; If the options or the first place of the number to be compared are different, direct division is the only way; If there is a fraction with the largest numerator and the smallest denominator in a group of fractions, you should know that the fraction is the largest; If there is a special fraction between the options or the numbers to be compared, the interpolation method is almost inevitable; If you see that the numerator and denominator of one of the two fractions to be compared are slightly larger than those of the other, you should not hesitate to carry out difference... Ten quick calculation techniques provide us with important methods to solve complex calculation problems, saving us a lot of valuable time that would otherwise be wasted on calculation.
Common quick calculation methods include the following:
(1) Estimation method
Before all calculations are carried out, it must be considered whether it can be estimated first. The so-called estimation is a rough and quick calculation method under the condition that the accuracy requirements are not too high, and the decimal is rounded to facilitate calculation. It is generally used when the options differ greatly, or when the data to be compared differ greatly.
(2) Direct division
It refers to a quick calculation method to get the first place of quotient (the first one or the first two digits) through "direct division" when comparing or calculating more complex division methods, without having to finish the calculation, so as to get the correct answer.
(3) Interpolation method
It refers to the quick calculation method of "reference comparison" by using an intermediate value when comparing values. For example, 10/47, we insert an intermediate value of 10/40, obviously 10/47123/456, so 125/458>123/456.

basic strategies

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The data analysis mainly includes three categories of materials: graphic materials, tabular materials, and text materials. The graphic materials mainly include pie charts, bar charts, trend charts, and mesh charts. Different types of materials have different data storage structures. When reading materials, it is important not to remember a large number of specific data in the materials, but to clarify the structure of these data storage.
With the development of the civil service examination, data analysis questions composed of multiple materials appear in large numbers in the examination, such as "tables and characters", "tables and graphs", and "characters and graphs" mixed materials, which gradually become the main trend of the latest proposition. For mixed data analysis, we should not only pay attention to the relationship between various materials (which often becomes the key point of the proposition), but also pay attention to the basic position of each material, and be familiar with the internal structure of each material; At the same time, due to the significant increase in reading of mixed materials, improving reading speed has also become the focus of preparing for such questions.
The statistical nature of data analysis determines that there are often many statistical terms in the materials. For more professional terms, the necessary explanations are generally given in the notes of materials; But for common sense terms, candidates need to accumulate them in review. In addition, you should also be familiar with the content scope and writing method of "statistical bulletin". Almost all data analysis materials are from national and local statistical bulletin.
"Reading materials" is the first step to complete the material analysis test. The focus of reading is not the specific content and data, but the "structure of stored data", so as to quickly locate the data when doing the test. This is inseparable from the research and grasp of the data storage structure and some necessary "core points".
"Analysis" is the basis of "processing data"; The "comparative" and "computational" test questions are the main types of "processing data". Generally speaking, the process of "processing data" is often accompanied by a large number of calculations. Therefore, the majority of examinees should also master the necessary quick calculation skills.