数据描述及数据展示
部分数据展示：
userId nickName realName gender birthDay idNo
1 6192030 YanF_15191889841.yx \u4e25* \u7537 1981/6/14 320************519
2 9035861 ZhengQ_15413629497.yx \u90d1* \u5973 1993/6/4 421************541
3 1511029 all20130708.rrd \u9f99** \u7537 1987/10/24 420************315
4 6516550 LRF_207689020170510.xd \u674e** \u5973 1990/9/5 410************543
5 6785812 LMY_224059620170711.xd \u5415** \u7537 1975/4/14 330************539
6 672505 huangdeyi.rrd \u9ec4** \u7537 1986/6/3 430************815
marriage graduation
1 MARRIED \u7814\u7a76\u751f\u6216\u4ee5\u4e0a
2 UNMARRIED \u5927\u4e13
3 MARRIED \u5927\u4e13
4 UNMARRIED \u5927\u4e13
5 DIVORCED \u7814\u7a76\u751f\u6216\u4ee5\u4e0a
6 MARRIED \u5927\u4e13
homeTown university
1 \u6c5f\u82cf:\u82cf\u5dde\u5e02 <NA>
2 \u6e56\u5317:\u8346\u5dde\u5e02 <NA>
3 \u6e56\u5317:\u8944\u6a0a \u8c37\u57ce\u53bf\u6280\u5de5\u5b66\u6821
4 \u6cb3\u5357:\u90d1\u5dde\u5e02 <NA>
5 \u6d59\u6c5f:\u5b81\u6ce2\u5e02 <NA>
6 \u6e56\u5357:\u90b5\u9633 \u6e56\u5357\u5e08\u8303\u5927\u5b66
graduatedYear sumCreditPoint creditLevel availableCredits
1 NA 180 A 144000
2 NA 180 A 75300
3
2004
0
HR
0
4 NA 180 A 4000
5 NA 180 A 206000
6 2005 0 HR 0
office
1 \u82cf\u5dde\u5e02\u6551\u52a9\u7ba1\u7406\u7ad9
2 \u6df1\u5733\u5e02\u5bf9\u5916\u52b3\u52a8\u670d\u52a1\u6709\u9650\u516c\u53f8
3 <NA>
4 \u65e0
5 \u5b81\u6ce2\u5e02\u911e\u5dde\u7ef4\u4fe1\u5bb6\u7528\u7eba\u7ec7\u54c1\u6709\u9650\u516c\u53f8
6 \u6e56\u5357\u516d\u798f\u8fde\u9501\u9152\u5e97\u7ba1\u7406\u6709\u9650\u516c\u53f8
officeType
1 \u4e8b\u4e1a\u5355\u4f4d
2 \u5916\u8d44\u4f01\u4e1a（\u5305\u62ec\u5408\u8d44\u4f01\u4e1a）
3 <NA>
4 \u56fd\u5bb6\u673a\u5173
5 \u4e00\u822c\u6c11\u8425\u4f01\u4e1a
6 \u4e00\u822c\u6c11\u8425\u4f01\u4e1a
officeDomain officeScale
1 \u533b\u7597/\u536b\u751f/\u4fdd\u5065 10\u4eba\u4ee5\u4e0b
2 \u96f6\u552e/\u6279\u53d1 10\u4eba\u4ee5\u4e0b
3 <NA> <NA>
4 \u65e0 10\u4eba\u4ee5\u4e0b
5 \u65e0 10-100\u4eba
6 \u9910\u996e/\u65c5\u9986\u4e1a 10-100\u4eba
position salary province
1 \u7ba1\u7406\u4eba\u5458 5000-10000\u5143 \u6c5f\u82cf
2 \u6d3e\u9063\u5458\u5de5 5000-10000\u5143 \u5e7f\u4e1c
3 <NA> <NA> \u8bf7\u9009\u62e9
4 \u804c\u5458 1000\u5143\u4ee5\u4e0b \u6cb3\u5357
5 \u80a1\u4e1c 10000-20000\u5143 \u6d59\u6c5f
6 \u603b\u7ecf\u7406 50000\u5143\u4ee5\u4e0a \u6e56\u5357
city workYears hasHouse houseLoan hasCar
1 \u82cf\u5dde\u5e02 5\u5e74\u4ee5\u4e0a FALSE FALSE FALSE
2 \u6df1\u5733\u5e02 1-3\u5e74（\u542b） FALSE FALSE FALSE
3 \u8bf7\u9009\u62e9 <NA> FALSE FALSE TRUE
4 \u90d1\u5dde\u5e02 1\u5e74（\u542b）\u4ee5\u4e0b FALSE FALSE FALSE
5 \u5b81\u6ce2\u5e02 5\u5e74\u4ee5\u4e0a TRUE TRUE TRUE
6 \u5a04\u5e95 1-3\u5e74（\u542b） TRUE TRUE FALSE
carBrand carLoan userLoanRecordId totalCount successCount
1 <NA> FALSE 6191987 1 1
2 <NA> FALSE 9035715 1 1
3 \u522b\u514b\u51ef\u8d8a FALSE 1506066 1 0
4 <NA> FALSE 6516490 2 2
5 <NA> FALSE 6785732 2 2
6 <NA> FALSE 667579 2 0
alreadyPayCount failedCount notPayoffCount overdueCount borrowAmount
1 0 0 1 0 144000
2 0 0 1 0 75300
3 0 0 0 0 0
4 2 0 0 0 8000
5 0 0 2 0 206000
6 0 0 0 0 0
withdrawAmount repaidTotalAmount alreadyPayPrincipal notPayPrincipal
1 1e+05 65318.4 51004.8 92995.2
2 5e+04 0.0 0.0 75300.0
3 0e+00 0.0 0.0 0.0
4 8e+03 8060.8 8000.0 0.0
5 2e+05 91152.0 80993.2 125006.8
6 0e+00 0.0 0.0 0.0
alreadyPayInterest notPayInterest overdueAmount loanId
1 14313.6 9331.20 0 2144429
2 0.0 12364.26 0 2530942
3 0.0 0.00 0 466666
4 60.8 0.00 0 2207528
5 10158.8 13348.40 0 2289176
6
0.0
0.00
0 385339
jobType amount interest months status
1 \u5de5\u85aa\u9636\u5c42 144000 10.2 36 IN_PROGRESS
2 \u5de5\u85aa\u9636\u5c42 75300 10.2 36 IN_PROGRESS
3 \u79c1\u8425\u4f01\u4e1a\u4e3b 50000 13.0 24 FAILED
4 \u5de5\u85aa\u9636\u5c42 4000 9.0 6 CLOSED
5 \u79c1\u8425\u4f01\u4e1a\u4e3b 126000 9.6 36 IN_PROGRESS
6 \u79c1\u8425\u4f01\u4e1a\u4e3b 300000 12.0 12 FAILED
displayLoanType verifyState borrowType repayType productName
1 SDRZ SUCCESS \u4e2a\u4eba\u6d88\u8d39 MONTH \u53cb\u4fe1
2 SDRZ SUCCESS SELF MONTH \u53cb\u4fe1
3 XYRZ NEW_APPLY \u77ed\u671f\u5468\u8f6c MONTH HR(website)
4 SDRZ SUCCESS \u5176\u4ed6\u501f\u6b3e MONTH \u53cb\u4fe1
5 SDRZ SUCCESS \u77ed\u671f\u5468\u8f6c MONTH \u53cb\u4fe1
6 XYRZ NEW_APPLY \u88c5\u4fee\u501f\u6b3e MONTH HR(website)
readyTime surplusAmount interestDate closeTime leftMonths
1 2017/2/21 22:17 0 NA None 22
2 2018/4/27 14:10 0 NA None 36
3 None 50000 NA None 24
4 2017/6/19 15:01 0 NA 2017/7/19 17:43 0
5 2017/9/26 19:29 0 NA None 29
6 None 300000 NA None 12
overDueDate repaidByGuarantor repaidByGuarantorTime
1 None FALSE None
2 None FALSE None
3 None FALSE None
4 None FALSE None
5 None FALSE None
6 None FALSE None
title
1 \u65e5\u5e38\u751f\u6d3b\u6d88\u8d39
2 \u88c5\u4fee
3 \u7528\u4e8e\u529e\u516c\u5ba4\u6539\u88c5
4 \u65e5\u5e38\u6d88\u8d39
5 \u8d44\u91d1\u5468\u8f6c
6 \u9152\u5e97\u8bbe\u5907\u66f4\u6362
description
1 \u516c\u53f8\u804c\u5458，\u73b0\u5c45\u6c5f\u82cf\u7701\u82cf\u5dde\u5e02，\u4ece\u4e8b\u536b\u751f、\u793e\u4f1a\u4fdd\u969c\u548c\u793e\u4f1a\u798f\u5229\u4e1a\u884c\u4e1a，\u5de5\u4f5c\u6536\u5165\u7a33\u5b9a，\u8d37\u6b3e\u7528\u4e8e\u65e5\u5e38\u751f\u6d3b\u6d88\u8d39。\u4e0a\u8ff0\u4fe1\u606f\u5df2\u7ecf\u5b9e\u5730\u8ba4\u8bc1\u65b9\u53cb\u4f17\u4fe1\u4e1a\u516c\u53f8\u8003\u5bdf\u8ba4\u8bc1。\u540c\u65f6，\u7ecf\u5ba1\u6838\u501f\u6b3e\u4eba\u6240\u63d0\u4f9b\u8d44\u6599\u771f\u5b9e\u6709\u6548，\u7b26\u5408\u4eba\u4eba\u8d37\u7684\u501f\u6b3e\u5ba1\u6838\u6807\u51c6。
2 \u501f\u6b3e\u4eba\u4e3a\u81ea\u7136\u4eba，\u516c\u53f8\u804c\u5458，\u73b0\u5c45\u5e7f\u4e1c\u7701\u6df1\u5733\u5e02，\u4ece\u4e8b\u6279\u53d1\u548c\u96f6\u552e\u4e1a\u884c\u4e1a，\u5de5\u4f5c\u6536\u5165\u7a33\u5b9a，\u8d37\u6b3e\u7528\u4e8e\u88c5\u4fee。\u4e0a\u8ff0\u4fe1\u606f\u5df2\u7ecf\u5b9e\u5730\u8ba4\u8bc1\u65b9\u53cb\u4f17\u4fe1\u4e1a\u516c\u53f8\u8003\u5bdf\u8ba4\u8bc1。\u540c\u65f6，\u7ecf\u5ba1\u6838\u501f\u6b3e\u4eba\u6240\u63d0\u4f9b\u8d44\u6599\u771f\u5b9e\u6709\u6548，\u7b26\u5408\u4eba\u4eba\u8d37\u7684\u501f\u6b3e\u5ba1\u6838\u6807\u51c6。\u622a\u81f3\u501f\u6b3e\u524d5\u5e74\u5185\u501f\u6b3e\u4eba\u5f81\u4fe1\u62a5\u544a\u4e2d\u903e\u671f\u8d85\u8fc790\u5929\u7684\u8d26\u6237\u6570：0。\u501f\u6b3e\u4eba\u5728\u5176\u4ed6\u7f51\u7edc\u501f\u8d37\u5e73\u53f0\u501f\u6b3e\u60c5\u51b5：\u672a\u83b7\u53d6。
3 \u56e0\u539f\u8be5\u6b63\u5e38\u56de\u6b3e\u7684，\u6ca1\u6709\u56de\u6b3e，\u5bfc\u81f4\u8d44\u91d1\u7d27\u5f20，\u8d37\u6b3e\u4e3b\u8981\u7528\u4e8e\u529e\u516c\u5ba4\u6539\u88c5
4 \u73b0\u5c45\u6cb3\u5357\u90d1\u5dde\u5e02，\u5de5\u4f5c\u6536\u5165\u7a33\u5b9a，\u8d37\u6b3e\u7528\u4e8e\u65e5\u5e38\u751f\u6d3b\u6d88\u8d39。\u4e0a\u8ff0\u4fe1\u606f\u5df2\u7ecf\u5b9e\u5730\u8ba4\u8bc1\u65b9\u53cb\u4f17\u4fe1\u4e1a\u516c\u53f8\u8003\u5bdf\u8ba4\u8bc1。\u540c\u65f6，\u7ecf\u5ba1\u6838\u501f\u6b3e\u4eba\u6240\u63d0\u4f9b\u8d44\u6599\u771f\u5b9e\u6709\u6548，\u7b26\u5408\u4eba\u4eba\u8d37\u7684\u501f\u6b3e\u5ba1\u6838\u6807\u51c6。
5 \u516c\u53f8\u804c\u5458，\u73b0\u5c45\u6d59\u6c5f\u7701\u5b81\u6ce2\u5e02，\u4ece\u4e8b\u5236\u9020\u4e1a\u884c\u4e1a，\u5de5\u4f5c\u6536\u5165\u7a33\u5b9a，\u8d37\u6b3e\u7528\u4e8e\u8d44\u91d1\u5468\u8f6c。\u4e0a\u8ff0\u4fe1\u606f\u5df2\u7ecf\u5b9e\u5730\u8ba4\u8bc1\u65b9\u53cb\u4f17\u4fe1\u4e1a\u516c\u53f8\u8003\u5bdf\u8ba4\u8bc1。\u540c\u65f6，\u7ecf\u5ba1\u6838\u501f\u6b3e\u4eba\u6240\u63d0\u4f9b\u8d44\u6599\u771f\u5b9e\u6709\u6548，\u7b26\u5408\u4eba\u4eba\u8d37\u7684\u501f\u6b3e\u5ba1\u6838\u6807\u51c6。
6 \u672c\u516c\u53f8\u5c5e\u4e8e\u8fde\u9501\u9152\u5e97，\u73b0\u56e0\u9152\u5e97\u66f4\u65b0\u88c5\u4fee\u90e8\u5206\u8bbe\u5907，\u9700\u77ed\u671f\u501f\u6b3e\u66f4\u6362\u8bbe\u5907。
hasOthDebt repaySource productRepayType borrowStatus
1 None None debx 2
2 None None debx 2
3 <NA> <NA> debx 1
4 None None debx 2
5 None None debx 2
6 <NA> <NA> debx 1
黄一鸣、潘演乐、周婧 (广东金融学院金融硕士) 大数据与金融科技——数据分析项目 2021/4/13 4 / 19
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