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How to use Python to analyze 2020 college entrance examination scores and admission situation, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

The college entrance examination which has been "late" for a month is finally coming.

It just so happens that I got a copy of the results of the mock examination of the new college entrance examination in Shandong and the one-by-one table published by the Shandong examination Institute, as well as the statistics of the first voluntary enrollment of undergraduate students in the general college entrance examination in the past three years. 2020 is the first year of the reform of the new college entrance examination in Shandong. The new admission mode and the requirements of elective subjects have brought great challenges to candidates.

I happen to conduct in-depth data analysis on the results of the Shandong simulated examination, and use python visualization to simulate the 2020 college entrance examination scores and admission.

(the code is long, so only part of it is shown. For complete data + source code download, see the end of the article)

The score distribution map of different candidates

First of all, this paper gives an overall description of the results of the new college entrance examination in Shandong Province.

Fig = make_subplots (rows=4,cols=2, # 4 rows and 2 columns subplot_titles= ('all candidates', 'physics', 'history', 'chemistry', 'geography', 'biology', 'politics'), specs= [[{'colspan': 2}, None], [{}, {}] ]) # specs parameter defines how to allocate the view interval In this case, "specs= [[{}, {}], [{'colspan': 2}, None]]" represents the average distribution interval of the two subgraphs of the other rows, and the first subgraph of the first row occupies the interval of two columns. And there is no second subgraph fig.add_trace (go.Scatter (x = raw_data ['score segment'], y = raw_data ['number of candidates in this segment'], fill = 'tozeroy', mode =' lines', marker = dict (size = 8, color = 'rgb (88,182,192)'), row=1, col=1 ) # Save picture img_file = os.path.join (img_dir, 'img1.svg') fig.write_image (img_file, scale=1) fig.show ()

The scores of students in physics, chemistry and biology show a normal distribution, most of them are concentrated in the middle, and the number of students at both ends of the score is relatively small. On the other hand, the scores of students in liberal arts (history, geography, politics) are skewed, and the number of students below the line is relatively large, especially in history and geography.

Undergraduate admission rate

By calculating how many of the selected subjects had a total score of more than one line, it was found that physics students had the highest admission rate of 67 per cent, while history students had a lower admission rate of 37 per cent.

The situation of selected subjects

# subject selection of all candidates sum_people = raw_data ['cumulative number of all candidates'] .iloc [- 1] subj_select = [] subj_name = ['physics', 'chemistry', 'biology', 'history', 'geography', 'politics'] subj_select_percent = pd.DataFrame (index = subj_name Columns= ['proportion']) for i in subj_name: singel_subj = raw_data ['selection' + iTunes' cumulative number'] .iloc [- 1] singel_percent = round (singel_subj/sum_people,4) * 100 subj_select.append (singel_percent) subj_select_percent.loc [I, 'proportion'] = singel_percent

In the mock exam, a total of 489567 candidates scored more than 150. among them, geography was the largest, with a ratio of 63.6%, while politics was the least, with a ratio of 34.31%. While the rate of physics, which has attracted much attention, is 41.59%.

It should be noted that the official selection time for the 2020 college entrance examination in Shandong is 5.25-29, while the mock examination is in January, so the above data can only be used as an important reference for students to select subjects.

High achiever's combination of subject selection.

According to the published one-by-one table and the analysis of voluntary counseling experts in the college entrance examination, this paper roughly speculates the subject selection of the top 100 candidates in the province.

Sure enough, high achiever is still more loyal to the traditional science combination (materialization), with 89% of people choosing this combination, while the traditional liberal arts combination (history and lands) has no choice. Perhaps because science is greatly affected by the difficulty of the questions, when the questions are simpler, candidates are more likely to get high scores, while there are more open questions in liberal arts, and the probability of getting high scores is lower. This also indirectly leads to candidates' tendency to choose pure science or at least one science subject.

Analysis on the admission situation of double first-class Colleges and Universities

We have counted that double first-class universities have the lowest admission scores for science and technology majors in Shandong in the past three years, followed by Peking University, Fudan University, Shanghai Jiaotong University, Zhejiang University and University of Science and Technology of China.

We have counted the lowest admission scores of literature and history majors in Shandong in the past three years, followed by Tsinghua University, Peking University, Shanghai Jiaotong University, Fudan University and Renmin University of China.

Analysis on the enrollment of majors in double-first-class universities

# Nightingale pie_Nightingale (sci_top10 ['Professional'] .values.tolist (), sci_top10 ['Frequency'] .values.tolist (), 'admission to the top 10 science and technology majors with the lowest score', 'science major top10.html')

We make statistics on the frequency of majors corresponding to the lowest scores in double-first-class colleges and universities. the results show that the frequency of engineering experimental classes is the highest in science and technology majors, and the engineering experimental classes are the corresponding majors in 25 of the double-first-class universities.

We also counted the frequency of literature and history majors corresponding to the lowest scores of double-first-class high enrollment, and found that Japanese appeared most frequently in literature and history majors, and Japanese was the lowest admission major in 25 first-class universities.

The cold winter of 2020 makes everyone's pace stumble.

In January, the Ministry of Education issued a notice to postpone the opening of the school year.

In February, there was endless news about the suspension of classes.

In the middle of March, online teaching began to be implemented one after another across the country.

At the end of March, it was officially confirmed that the 2020 college entrance examination would be postponed for one month.

In the news of "refreshing history" one after another, college entrance examinees have undoubtedly become a group of people who have attracted much attention-in addition to the learning pressure they need to face, they also have to keep a safe distance to study and live at all times. For them, both the epidemic and the college entrance examination have become a major test.

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