期刊文献+

基于PyEcharts的第三次农业普查数据可视化分析 被引量:3

Visual Analysis of the Third National Agricultural Census Data Based on PyEcharts
下载PDF
导出
摘要 “三农”问题是我国国民经济高质量发展的主要问题之一,统计分析农业普查数据能够直观地展示当前我国的“三农”状况.以第三次农业普查中31个省(自治区、直辖市)的登记农户数量、普查方式以及乡镇、村医疗和社会福利机构覆盖率作为研究对象,采用PyEcharts可视化分析工具对普查数据进行统计分析.结果表明:31个省(自治区、直辖市)的登记农户数量地区差异明显,其中东北地区登记农户数量最少;第三次农业普查虽是第一次使用卫星影像技术,但比较成功;31个省(自治区、直辖市)的乡镇、村医疗和福利机构基本全覆盖,东部地区和西部地区的乡镇、村医疗和社会福利机构分布相对均匀,但是存在区域发展不平衡的问题. The problems of agriculture,rural areas and farmers are one of the main problems in the high-quality development of China’s national economy.Statistical analysis of agricultural census data can directly show the current situation of agriculture,rural areas and farmers in China.The number of registered farm households in each region,the census method,and the coverage rate of township and village medical and social welfare institutions in the third national agricultural census are used as the research objects,and PyEcharts visual analysis tool is used to analyze the census data.The results show that the number of registered farmers varies significantly in different regions of 31 provinces(autonomous regions and municipalities).The number of registered farm households in Northeast China is the least.Satellite imaging technology is used for the first time during the third national agricultural census,and it is relatively successful.The medical and welfare institutions in towns and villages in 31 provinces(autonomous regions and municipalities)are basically covered.The distribution of township and village medical and social welfare institutions in the eastern and western regions is relatively even,but there is a problem of uneven regional development.
作者 王竟俨 侯彦东 WANG Jingyan;HOU Yandong(School of Computer and Information Engineering,Henan University,Kaifeng 475004,Henan China)
出处 《河南科学》 2021年第4期517-523,共7页 Henan Science
关键词 PyEcharts 可视化分析 农业普查 登记农户数量 普查方式 医疗和社会福利机构 PyEcharts visualize analysis agricultural census number of registered farmers census method medical and social welfare institutions
  • 相关文献

参考文献16

二级参考文献88

共引文献49

同被引文献20

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部