Data analysis is a very important part in both national and provincial examinations, with about 20 questions. It is also the key for candidates to score in the exam preparation, and it is often an important part for candidates to open the gap between candidates. As long as candidates can do the following, it is relatively easy to get high marks in data analysis.

First, understand the concept and lay the foundation

Judging from the analysis of real questions in recent years, data analysis has 12- 15 questions, which are very simple. It mainly examines the understanding of simple concepts, among which the most commonly tested are basic concepts such as growth, proportion, multiple and average. Other problems have evolved on the basis of mastering basic concepts. Mastering the corresponding concepts is actually to help the majority of candidates have the corresponding forming ability. In general, 15 in 20 questions is a relatively simple formula, such as finding growth, growth rate, difference ratio, etc. Of course, the average growth rate should also be taken as the key part now, because the simplified formula is relatively simple, and candidates now need to study textbooks or master the relevant concepts often tested in data analysis by doing real questions.

Second, master ways to increase confidence.

Many candidates think that data analysis is difficult, mainly because they are scared off by the complicated formulas in data analysis. In fact, mastering the relevant formulas can actually enhance your confidence in doing the problem. Candidates have the corresponding formula ability through pragmatic foundation, and also need to know the calculation results, and have corresponding calculation methods for different formulas. There are mantissa method, prefix method, significant number method, characteristic number method, parity comparison method, dislocation addition and subtraction method and so on. These methods require candidates to master and satisfy the ability to quickly calculate the corresponding formulas.

Third, insist on the effectiveness of training.

Some candidates will also wonder that although they have mastered the formula and calculation method, they are slow to do the problem, probably because they are nervous, but the correct rate is not high. At this point, after mastering the related concepts and formula ability in data analysis, candidates need to do more exercises. For real or simulated questions all over the country, we should insist on doing 3-4 questions every day like exams and record the time of doing them every day. Through continuous practice, strengthen the analysis of the relationship between material content and data, improve the sensitivity to data and improve the ability to solve problems quickly.