其实离婚的话题,在我们的日常生活中,已经不算是非常新鲜的话题了,根据民政部门的大数据显示,我国的离婚率已经连续8年升高,而结婚率已经连续5年下降。为了更好的帮助大家了解目前我国的离婚率现状,我们通过数据的可视化展示,来直观的展现给大家。
1
数据获取
对于数据的获取,可以直接到国家统计局的官方网站进行获取,网址为:
https://data.stats.gov.cn/easyquery.htm?cn=C01&zb=A0P0C&sj=2019
由于国家统计局的数据都是面向公众开放的,因此我们不必利用爬虫程序进行爬取,可以直接从网站上进行下载,如下图所示:
这里下载的数据是针对于全国的情况进行统计的,我们还可以分省年度报名中,下载每个省市的离婚信息的年度报表。
2
数据分析
1).数据的初步分析
获取到数据之后,我们先来对全国的离婚信息进行了解。
2).数据可视化
俗话说“字不如表,表不如图”,我们接着利用图表来看一下,近十年来我国的粗离婚率的变化情况。
我们将全国数据中的年份信息和粗离婚率的信息提取出来,并命名为x_data和y_data,然后利用pyecharts中的Line类来绘制可视化结果,结果如下:
可以看到,我国的粗离婚率随着时间的发展而不断的攀升,从2010年到2019年这十年间,粗离婚率翻了近1.7倍。
3).离婚率的统计
从全国的数据中,可以看到,2019年,我国的粗离婚率的平均数值为3.36。我们来统计一下,全国31个省市自治区中,位于平均数值的省市数量的分布情况。
虽然北京上海在离婚率上不是很突出,但是我们还是可以来针对这两个城市来做一个针对性的对比,利用Altair库来看一下,北京和上海近十年的离婚率对比情况。
程序首先读取北京市和上海市的粗离婚率数据,然后提取并构造年份、城市等数据,并整合为DataFrame格式的数据,然后通过Altair库来构造可视化柱状图,运行上述程序,得到以下的结果。
可以看出,北京和上海的离婚率从各自的城市出发,呈现规律性的波动,总是连续几年增长后迅速回落,然后再次慢慢增长,而且有趣的是,两个城市的波动规律几乎是完全相同的。而从两个城市对比的角度来看,北京的粗离婚率总是高于上海。
3
总结
通过对于我国近十年的离婚率进行可视化展示,可以看到,我国的离婚率是呈现一种逐年递增的趋势,生活水平的提升,让大家更多的关注个人精神世界的发展,也造成一小部分夫妻在三观上的不和。
但是无论如何,生活就是要彼此的扶持,彼此照顾,希望想要离婚的朋友在做出离婚决定时,三思而后行。多为彼此考虑。
今天就是小编为大家带来的分享,欢迎大家在留言区点评吱一声,说说你的看法。
程序员GitHub,现已正式上线!
接下来我们将会在该上,专注为大家分享GitHub上有趣的开源库包括Python,Java,Go,前端开发等优质的学习资源和技术,分享一些程序员圈的新鲜趣事。
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