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Unlike exam papers, in real life, there are things that never have an answer.

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A week has passed since the 2018 college entrance examination, hot spots have gradually shifted from the college entrance examination to the World Cup, not willing to be pseudo-fans I still choose to simply and casually analyze some of the data of the college entrance examination

Let's start happily

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The relevant file contains all the source code and data covered in this article.

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Develop tools

Develop tools

Python version: 3.6.4

Related modules:

pyecharts module;

and some Python's own modules.

Environment construction

Environment construction

Install Python and add it to the environment variable, and pip installs the relevant modules that are required.

The installation of the pyecharts module can be referred to as follows:

Install Python and add it to the environment variable, and pip installs the relevant modules that are required.

Additional instructions:

When the pyecharts module is installed, follow these commands:

pip install echarts-countries-pypkg

pip install echarts-china-provinces-pypkg

pip install echarts-china-cities-pypkg

pip install pyecharts

If it occurs during installation:

'utf-8' codec can't decode byte 0xb6

Or a similar coding error prompt.

Try modifying the 75th line of code for the __init__.py file under the path shown below the Python installation folder:

Modify to what is shown in the following image:

"A decent analysis"

Start the analysis

First let's take a look at the total number of students enrolled in the college entrance examination from the resumption of the college entrance examination (1977):

T_T it seems that the student party is indeed more and more.

But doesn't that seem to make it very intuitive to see the annual admission ratio? Ok, let's take a visual look at it:

It seems that college is getting more and more "easy" to say is not a hole to wind, the total admission ratio is high terrible

What about the provinces?

Because the final number of college entrance examination in the provinces of the statistical standards are not the same, some are only statistics undergraduate, some are statistical, in order to avoid the statistical standards and bring about unfair comparison, we only analyze the number of college entrance examination candidates in each province.

The distribution of the number of candidates for the college entrance examination in each province from 2010 to this year (2018) is as follows:

The number of college entrance examination candidates in Henan, T_T, is truly outstanding.

So how are the number of universities in each province distributed? Taking the number of public undergraduate universities as a statistical criterion, the distribution map is probably as follows:

Emmm。 B eijing and Jiangsu ranked first and second, respectively. It's inevitable to think about T_T

So what about the distribution of 985-211 colleges and universities?

"Well, then love is gone." See this silently do not speak.

To the province x axis, the year is the y axis, the number of candidates in the province for the z axis to more intuitively see the number of candidates each year in the province changes:

The order of the provinces in the figure above is as follows:

Beijing, Sichuan, Shaanxi, Jiangxi, Jilin, Ningxia, Guangxi, Inner Mongolia, Gansu, Tibet, Fujian, Shanghai, Guangdong, Shandong, Zhejiang, Henan, Anhui, Jiangsu, Hebei, Heilongjiang, Hunan, Hubei, Shanxi, Yunnan, Guizhou, Hainan, Liaoning, Chongqing, Tianjin, Qinghai, Xinjiang, Taiwan did not join because there was no data.

The number of college entrance exam candidates in Henan T_T is really scary.

Emmm, because there is not much data available, and then analysis is probably a fancy map game, think about it or forget it. A s for personal opinions, it's better not to publish them. After all, everyone's Hamlet is different.

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