摘要：资料分析题目通常会给出一系列统计资料，包括文字资料、表格资料、图形资料等。这些资料可能涉及经济、社会、科技等多个领域，要求考生在有限的时间内准确解读数据，并根据题目要求进行计算、分析和推理。其题量较大，但分值不低，是拉开考生差距的重要板块。

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小高分享（77）行测中的资料分析类题目

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一、题型特点

First, the characteristics of the question type

资料分析题目通常会给出一系列统计资料，包括文字资料、表格资料、图形资料等。这些资料可能涉及经济、社会、科技等多个领域，要求考生在有限的时间内准确解读数据，并根据题目要求进行计算、分析和推理。其题量较大，但分值不低，是拉开考生差距的重要板块。

Data analysis questions usually give a series of statistical data, including text data, tabular data, graphic data, etc. These materials may involve economic, social, scientific and technological fields, requiring candidates to accurately interpret the data within a limited time, and perform calculations, analysis and reasoning according to the requirements of the questions. The amount of questions is large, but the score is not low, and it is an important plate to open the gap between candidates.

二、常见考查方向

Second, common examination directions

1、直接读数

1, direct reading

这类题目最为简单，考生只需在资料中直接找到相关数据即可。例如，在表格资料中询问某一项具体数值，在图形资料中找出某个数据的占比等。虽然看似容易，但考生也需仔细认真，避免因粗心大意而失分。

This kind of question is the easiest, the examinee only needs to find the relevant data directly in the material. For example, ask for a specific value in the table data, find out the proportion of a certain data in the graph data, and so on. Although it seems easy, candidates also need to be careful and careful to avoid losing points due to carelessness.

2、比较分析

2. Comparative analysis

比较分析题目要求考生对资料中的数据进行对比，找出最大值、最小值、排名等。比如，比较不同地区某项经济指标的增速，判断哪个行业的利润率最高等。这类题目需要考生具备一定的比较技巧，能够快速准确地从大量数据中筛选出关键信息。

Comparative analysis questions ask candidates to compare the data in the data to find the maximum value, minimum value, ranking, etc. For example, compare the growth rate of a certain economic indicator in different regions and determine which industry has the highest profit margin. This type of question requires candidates to have a certain degree of comparison skills, able to quickly and accurately sift through large amounts of data to select key information.

3、计算分析

3. Computational analysis

计算分析题目是资料分析中的重点和难点。它涉及到多种计算方法，如增长率计算、比重计算、平均数计算等。考生需要熟练掌握这些计算公式，并能够根据题目要求灵活运用。例如，计算某商品价格的平均增长率，求出某地区人口密度等。

Computational analysis is the key and difficult problem in data analysis. It involves a variety of calculation methods, such as growth rate calculation, proportion calculation, average calculation and so on. Candidates need to be proficient in these formulas and be able to use them flexibly according to the requirements of the question. For example, calculate the average growth rate of a commodity price, find out the population density of a certain area, etc.

4、综合分析

4. Comprehensive analysis

综合分析题目通常会结合多种考查方向，要求考生综合运用所学知识和技能进行分析和判断。这类题目难度较大，需要考生具备较强的逻辑思维能力和数据分析能力。例如，根据给出的资料，分析某地区经济发展的趋势和存在的问题，并提出相应的建议。

Comprehensive analysis questions usually combine a variety of examination directions, requiring candidates to comprehensively apply the knowledge and skills to analyze and judge. This kind of question is more difficult, and requires candidates to have strong logical thinking ability and data analysis ability. For example, according to the given data, the economic development trend and existing problems of a certain region are analyzed, and corresponding suggestions are put forward.

三、应对策略

Third, coping strategies

1、掌握基本概念和公式

1. Master basic concepts and formulas

资料分析题目涉及到许多基本概念和公式，如增长率、比重、平均数等。考生需要熟练掌握这些概念和公式的含义和计算方法，这是做好资料分析题目的基础。

Data analysis topics involve many basic concepts and formulas, such as growth rate, specific gravity, average, etc. Candidates need to master the meaning and calculation methods of these concepts and formulas, which is the basis for data analysis.

2、提高阅读速度和理解能力

2. Improve reading speed and comprehension

资料分析题目给出的资料通常较长，考生需要快速阅读并准确理解资料内容。可以通过多做阅读训练，提高自己的阅读速度和理解能力。

Data analysis questions usually give long data, candidates need to read quickly and accurately understand the content of the data. You can improve your reading speed and comprehension by doing more reading training.

3、学会运用技巧和方法

3. Learn to use skills and methods

在解答资料分析题目时，可以运用一些技巧和方法，如排除法、估算法等。排除法可以帮助考生快速排除错误选项，估算法可以在保证一定准确度的前提下提高计算速度。

When solving data analysis problems, you can use some techniques and methods, such as elimination method, estimation method, etc. The elimination method can help the examinee quickly eliminate the wrong options, and the estimation method can improve the calculation speed while ensuring a certain degree of accuracy.

4、多做练习，积累经验

4. Do more practice and gain experience

资料分析题目需要考生通过大量的练习来积累经验。可以通过做历年真题和模拟题，熟悉不同类型的题目，掌握解题思路和方法。

Data analysis questions require candidates to gain experience through a lot of practice. You can be familiar with different types of problems and master the ideas and methods of solving problems by doing real problems and simulation problems over the years.

行测考试中的资料分析类题目虽然具有一定的难度，但只要考生掌握好题型特点、常见考查方向和应对策略，通过不断的练习和积累，就一定能够攻克难关，在考试中取得优异的成绩。

Although the data analysis questions in the practice test are difficult, as long as the candidates master the characteristics of the question types, common examination directions and coping strategies, through continuous practice and accumulation, they will be able to overcome the difficulties and achieve excellent results in the exam.

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