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cuselist.ado
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cuselist.ado
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*! 显示数据库中的所有数据集
cap prog drop cuselist
prog define cuselist
di in white "【0】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse 000001, c w s: 000001.dta}: 平安银行历史股票数据"
di in white "【a】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse amricancellmapdata, c w s: amricancellmapdata.dta}: 美国蜂窝地图各个省份的位置坐标"
di in white "【c】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse cellmapdata, c w s: cellmapdata.dta}: 中国蜂窝地图各个省份的位置坐标"
di in green "1. {stata cuse countycode, c w s: countycode.dta}: 中国各省市区县编号(即身份证前六位号码)"
di in green "2. {stata cuse china_label, c w s: china_label.dta}: 中国地图标签"
di in green "3. {stata cuse china_map, c w s: china_map.dta}: 中国地图数据"
di in green "4. {stata cuse china_city_spatial_distance.dta, c w s: china_city_spatial_distance.dta}: 中国地级地图数据集"
di in green "5. {stata cuse china_province_spatial_distance.dta, c w s: china_province_spatial_distance.dta}: 中国省级地图数据集"
di in green "6. {stata cuse cjd1617.dta, c w s: cjd1617.dta}: 金融学16和17年成绩单"
di in green "7. {stata cuse cpi.dta, c w s: cpi.dta}: 中国CPI2008/1-2017/11"
di in green "8. {stata cuse countrysexratio.dta, c w s: countrysexratio.dta}: knoema各国总人口性别比例数据"
di in green "9. {stata cuse ctbc2.dta, c w s: ctbc2.dta}: 中债国债2002-2017年国债到期收益率"
di in green "10. {stata cuse cnstockholiday.dta, c w s: cnstockholiday.dta}: 上交所与深交所休市日期"
di in green "11. {stata cuse cnstockincome.dta, c w s: cnstockincome.dta}:1989年-2017年所有上市公司的基本收入状况"
di _dup(70) as yellow "-"
di in white "【d】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse echarts_worldmap, c w s: echarts_worldmap.dta}: ECharts世界地图各国中英文名称对照"
di in white "【g】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse gdpjdlj.dta, c w s: gdpjdlj.dta}: 中国GDP季度累计2006/第一季度-2017/第三季度"
di in green "2. {stata cuse gini_prov.dta, c w s: gini_prov.dta}: 1995-2010中国各省份Gini系数"
di in white "【h】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse huaihe, c w s: huaihe.dta}: 2017年淮河供暖政策对人预期寿命的影响模仿数据集"
di in green "2. {stata cuse houseprice, c w s: houseprice.dta}: 中国百城房价数据集"
di _dup(70) as yellow "-"
di in white "【j】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse jdcourse2018a, c w s: jdcourse2018a.dta}: 2018年上半年暨南大学排课选课表"
di in green "2. {stata cuse jd2017zsjh, c w s: jd2017zsjh.dta}: 暨南大学2017年各省招生人数"
di _dup(70) as yellow "-"
di in white "【l】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse life_expentancy, c w s: life_expentancy.dta}: 2010年中国各省市自治区人口出生时预期寿命"
di in white "【m】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse moneysupply, c w s: moneysupply.dta}: 2008/1-2017/11中国货币供应量M0M1M2"
di _dup(70) as yellow "-"
di in white "【p】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse pm10, c w s: pm10.dta}: 2017年淮河供暖政策对人预期寿命影响的原始数据集"
di in green "2. {stata cuse population, c w s: population.dta}: 2010年中国各区县人口"
di in green "3. {stata cuse population_prov, c w s: population_prov.dta}: 2002-2014年全国各省市年末人口"
di in green "4. {stata cuse pjw, c w s: pjw.dta}: 分城市人口、就业与工资(1990-2016)"
di _dup(70) as yellow "-"
di in white "【s】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse station, c w s: station.dta}: 中国所有火车站车站代码"
di in green "2. {stata cuse smoking, c w s: smoking.dta}: 合成控制法的美国39个洲的香烟销售量数据集"
di in green "2. {stata cuse sexratio, c w s: sexratio.dta}: knoema各国总人口性别比例数据"
di _dup(70) as yellow "-"
di in white "【t】"
di _dup(70) as yellow "-"
di in green "1. {stata cuse titanic, c w s: titanic.dta}: 泰坦尼克号生存数据集"
di in green "2. {stata cuse tourism, c w s: tourism.dta}: 旅游事业发展情况"
di _dup(70) as yellow "-"
di in white "【书籍数据集】"
di in red "注意！如果你想调用的数据集的名字里含大写字母，你需要把它的首字母调成小写才能调用!"
di in green "1. 《计量经济学及Stata应用》——陈强著"
di in green "2. 《高级计量经济学及Stata应用》——陈强著"
di in green "3. 《An Introduction to Stata Programming, Second Edition》——Christopher F. Baum著"
end