Overview

Dataset statistics

Number of variables113
Number of observations10000
Missing cells442496
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 MiB
Average record size in memory974.0 B

Variable types

Categorical29
Numeric38
Boolean26
DateTime10
Unsupported9
Text1

Dataset

Description산림복지서비스이용권시스템에서 추출한 신청정보입니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15089003/fileData.do

Alerts

위약금지불동의서(PENALTY_AGREE) has constant value ""Constant
사진활용동의서(PHOTO_AGREE) has constant value ""Constant
개인정보수집동의(AGREE_CHECK_1) has constant value ""Constant
개인식별번호수집동의(AGREE_CHECK_2) has constant value ""Constant
제3자정보제공동의(AGREE_CHECK_3) has constant value ""Constant
등록사이트구분 (KFWI:산림복지, G24:정부24) 2020.10.23(SITE_ORIGIN) has constant value ""Constant
사업번호(BIZ_NO).2 has constant value ""Constant
발급구분(K012)(ISS_GB) has constant value ""Constant
위임장 제출 여부(ENTRUST_SEND_YN) has constant value ""Constant
개인정보수집이용 15조 동의(PRIVATE_USE15_AGREE) has constant value ""Constant
개인정보수집이용 24조 동의(PRIVATE_USE24_AGREE) has constant value ""Constant
개인정보 제3자 제공 동의(PRIVATE_OFFER_AGREE) has constant value ""Constant
행정정보 공동이용 동의(ADMIN_INFO_USE_AGREE) has constant value ""Constant
고객만족도 조사여부(SATISFACTION_YN) has constant value ""Constant
지불제재여부(PAY_PENALTY_YN) has constant value ""Constant
사업년도(BIZ_YEAR) is highly imbalanced (62.3%)Imbalance
숙박구분 (K010)(STAY_FLAG) is highly imbalanced (52.1%)Imbalance
사업번호(BIZ_NO) is highly imbalanced (99.9%)Imbalance
기관개인구분 (K004)(ORG_PER_GB) is highly imbalanced (50.6%)Imbalance
문자서비스수신동의(SMS_FLAG) is highly imbalanced (92.2%)Imbalance
전자우편수신동의(EMAIL_FLAG) is highly imbalanced (91.8%)Imbalance
사업년도(BIZ_YEAR).2 is highly imbalanced (62.2%)Imbalance
대상선정여부 (K006)(TARGET_SEL_YN) is highly imbalanced (86.8%)Imbalance
대리여부(AGENT_YN) is highly imbalanced (85.6%)Imbalance
가족증명서 사본 제출여부(FAMILY_SEND_YN) is highly imbalanced (90.5%)Imbalance
내외국인 구분(1:외국인, 2:내국인)(FOREIGN_TYPE) is highly imbalanced (99.0%)Imbalance
개별 합산여부(BALANCE_SEL_YN) is highly imbalanced (96.9%)Imbalance
방문신청 시설(VIS_FAC) is highly imbalanced (98.9%)Imbalance
이월여부(PREV_YN) is highly imbalanced (58.6%)Imbalance
대리인관계 (K003)(AGENT_RELATION) is highly imbalanced (76.1%)Imbalance
제공자시설 고유코드(USE_FACILITY_CD) has 8429 (84.3%) missing valuesMissing
기초수급자수(BASE_RCPT_CNT) has 8434 (84.3%) missing valuesMissing
장애수급자수(DSBT_RCPT_CNT) has 8434 (84.3%) missing valuesMissing
차상위수(UN_RCPT_CNT) has 8433 (84.3%) missing valuesMissing
담당자수(CHARGER_RCPT_CNT) has 8434 (84.3%) missing valuesMissing
남성수(MALE_CNT) has 8434 (84.3%) missing valuesMissing
여성수(FEMALE_CNT) has 8434 (84.3%) missing valuesMissing
성인수(ADULT_CNT) has 8434 (84.3%) missing valuesMissing
미성년자수(MINOR_CNT) has 8434 (84.3%) missing valuesMissing
총인원(TOTAL_CNT) has 8433 (84.3%) missing valuesMissing
1순위시작일(FIRST_START_DT) has 8607 (86.1%) missing valuesMissing
1순위종료일(FIRST_END_DT) has 8607 (86.1%) missing valuesMissing
2순위시작일(SECOND_START_DT) has 8607 (86.1%) missing valuesMissing
2순위종료일(SECOND_END_DT) has 8607 (86.1%) missing valuesMissing
3순위시작일(THIRD_START_DT) has 8607 (86.1%) missing valuesMissing
3순위종료일(THIRD_END_DT) has 8607 (86.1%) missing valuesMissing
위약금지불동의서(PENALTY_AGREE) has 8437 (84.4%) missing valuesMissing
사진활용동의서(PHOTO_AGREE) has 8437 (84.4%) missing valuesMissing
등록일자(INPUT_DT) has 8429 (84.3%) missing valuesMissing
수정일자(UPDATE_DT) has 8509 (85.1%) missing valuesMissing
거동제한자(WEAK_CNT) has 8721 (87.2%) missing valuesMissing
장애인연금수급자(DISB_PENS_CNT) has 9296 (93.0%) missing valuesMissing
처리일자(APRV_DT) has 2586 (25.9%) missing valuesMissing
수정일자(UPDATE_DT).1 has 1823 (18.2%) missing valuesMissing
사용실적률, 신청서 내 가장 비율이 높은 실적률을 취해 반영(REQ_USE_RATE_M) has 6985 (69.8%) missing valuesMissing
신청이력비율, 신청서 내 가장 많은 이력순위의 비율(REQ_HIST_RATE) has 8458 (84.6%) missing valuesMissing
대상유형비율, 신청서 내 가장 많은 대상유형의 비율(REQ_TYPE_RATE) has 8458 (84.6%) missing valuesMissing
신청서 내 생애첫신청의 작년탈락자 다수여부(LAST_YEAR_DROP_YN) has 8458 (84.6%) missing valuesMissing
합산자 수신동의(BALANCE_SMS_FLAG) has 8458 (84.6%) missing valuesMissing
타사이트추적PK 2020.10.23(SITE_TRACENO) has 10000 (100.0%) missing valuesMissing
문자서비스수신동의(SMS_FLAG) has 8427 (84.3%) missing valuesMissing
전자우편수신동의(EMAIL_FLAG) has 8427 (84.3%) missing valuesMissing
등록일자(INPUT_DT).2 has 8427 (84.3%) missing valuesMissing
수정일자(UPDATE_DT).2 has 8520 (85.2%) missing valuesMissing
신청일자(REQ_DT).1 has 5835 (58.4%) missing valuesMissing
승인일자(APRV_DT) has 9367 (93.7%) missing valuesMissing
신청서인원(TOTAL_CNT) has 5835 (58.4%) missing valuesMissing
신청인원(REQ_CNT) has 5835 (58.4%) missing valuesMissing
총지원금(TOTAL_AMT) has 5835 (58.4%) missing valuesMissing
대상유형 (K002) 상세(TARGET_TYPE_SUB) has 10000 (100.0%) missing valuesMissing
대상선정일자(TARGET_SEL_DT) has 301 (3.0%) missing valuesMissing
신분증 사본 제출여부(PRIVACY_SEND_YN) has 3669 (36.7%) missing valuesMissing
수정일자(UPDATE_DT).3 has 3669 (36.7%) missing valuesMissing
가족증명서 사본 제출여부(FAMILY_SEND_YN) has 3669 (36.7%) missing valuesMissing
위임장 제출 여부(ENTRUST_SEND_YN) has 3669 (36.7%) missing valuesMissing
지불제재여부(PAY_PENALTY_YN) has 2541 (25.4%) missing valuesMissing
정보발신여부(INFO_FLAG) has 10000 (100.0%) missing valuesMissing
신청이력 순위정보(1~6위)(REQ_HIST_RANK) has 10000 (100.0%) missing valuesMissing
대상유형 순위정보(1~22위)(REQ_TYPE_RANK) has 10000 (100.0%) missing valuesMissing
사용실적률(백분률)(REQ_USE_RATE) has 10000 (100.0%) missing valuesMissing
작년탈락여부(생애첫신청)(LAST_YEAR_DROP_YN) has 10000 (100.0%) missing valuesMissing
카드거래내역 이용 동의(CARD_APVL_AGREE) has 10000 (100.0%) missing valuesMissing
대상유형(기초생활수급자, 생계/의료/주거/교육)(TARGET_TYPE_BASE) has 10000 (100.0%) missing valuesMissing
사업년도(BIZ_YEAR).5 has 8860 (88.6%) missing valuesMissing
문자서비스수신동의(AGENT_SMS_FLAG) has 8860 (88.6%) missing valuesMissing
등록일자(INPUT_DT).4 has 8860 (88.6%) missing valuesMissing
수정일자(UPDATE_DT).4 has 8860 (88.6%) missing valuesMissing
차상위수(UN_RCPT_CNT) is highly skewed (γ1 = 22.68939002)Skewed
타사이트추적PK 2020.10.23(SITE_TRACENO) is an unsupported type, check if it needs cleaning or further analysisUnsupported
대상유형 (K002) 상세(TARGET_TYPE_SUB) is an unsupported type, check if it needs cleaning or further analysisUnsupported
정보발신여부(INFO_FLAG) is an unsupported type, check if it needs cleaning or further analysisUnsupported
신청이력 순위정보(1~6위)(REQ_HIST_RANK) is an unsupported type, check if it needs cleaning or further analysisUnsupported
대상유형 순위정보(1~22위)(REQ_TYPE_RANK) is an unsupported type, check if it needs cleaning or further analysisUnsupported
사용실적률(백분률)(REQ_USE_RATE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
작년탈락여부(생애첫신청)(LAST_YEAR_DROP_YN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
카드거래내역 이용 동의(CARD_APVL_AGREE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
대상유형(기초생활수급자, 생계/의료/주거/교육)(TARGET_TYPE_BASE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공자시설 고유코드(USE_FACILITY_CD) has 130 (1.3%) zerosZeros
기초수급자수(BASE_RCPT_CNT) has 542 (5.4%) zerosZeros
장애수급자수(DSBT_RCPT_CNT) has 861 (8.6%) zerosZeros
차상위수(UN_RCPT_CNT) has 1561 (15.6%) zerosZeros
담당자수(CHARGER_RCPT_CNT) has 180 (1.8%) zerosZeros
미성년자수(MINOR_CNT) has 1159 (11.6%) zerosZeros
거동제한자(WEAK_CNT) has 428 (4.3%) zerosZeros
장애인연금수급자(DISB_PENS_CNT) has 111 (1.1%) zerosZeros
사용실적률, 신청서 내 가장 비율이 높은 실적률을 취해 반영(REQ_USE_RATE_M) has 1790 (17.9%) zerosZeros
지원금액(SUPPORT_AMT) has 1137 (11.4%) zerosZeros
세대주관계(HOUSE_H_RELATION) has 8817 (88.2%) zerosZeros
이월금액(PREV_AMT) has 9160 (91.6%) zerosZeros

Reproduction

Analysis started2023-12-12 18:31:49.028308
Analysis finished2023-12-12 18:31:51.820653
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업년도(BIZ_YEAR)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8429 
2019
 
405
2021
 
368
2018
 
353
2020
 
340

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8429
84.3%
2019 405
 
4.0%
2021 368
 
3.7%
2018 353
 
3.5%
2020 340
 
3.4%
2017 105
 
1.1%

Length

2023-12-13T03:31:51.879766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:31:51.994144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8429
84.3%
2019 405
 
4.0%
2021 368
 
3.7%
2018 353
 
3.5%
2020 340
 
3.4%
2017 105
 
1.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8429 
1
1571 

Length

Max length4
Median length4
Mean length3.5287
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8429
84.3%
1 1571
 
15.7%

Length

2023-12-13T03:31:52.108493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:31:52.197289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8429
84.3%
1 1571
 
15.7%

제공자시설 고유코드(USE_FACILITY_CD)
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)1.3%
Missing8429
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean43.320178
Minimum0
Maximum199
Zeros130
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:52.279027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median18
Q367
95-th percentile177
Maximum199
Range199
Interquartile range (IQR)52

Descriptive statistics

Standard deviation47.521835
Coefficient of variation (CV)1.0969908
Kurtosis3.296011
Mean43.320178
Median Absolute Deviation (MAD)4
Skewness1.875792
Sum68056
Variance2258.3248
MonotonicityNot monotonic
2023-12-13T03:31:52.401597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
15 224
 
2.2%
14 178
 
1.8%
20 150
 
1.5%
16 145
 
1.5%
18 140
 
1.4%
0 130
 
1.3%
67 117
 
1.2%
90 89
 
0.9%
66 67
 
0.7%
199 61
 
0.6%
Other values (10) 270
 
2.7%
(Missing) 8429
84.3%
ValueCountFrequency (%)
0 130
1.3%
14 178
1.8%
15 224
2.2%
16 145
1.5%
18 140
1.4%
20 150
1.5%
21 28
 
0.3%
29 9
 
0.1%
51 15
 
0.1%
64 52
 
0.5%
ValueCountFrequency (%)
199 61
0.6%
188 9
 
0.1%
177 27
 
0.3%
99 7
 
0.1%
94 55
0.5%
90 89
0.9%
70 27
 
0.3%
68 41
 
0.4%
67 117
1.2%
66 67
0.7%

기초수급자수(BASE_RCPT_CNT)
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)6.5%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean13.816092
Minimum0
Maximum304
Zeros542
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:52.542179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q322
95-th percentile52.75
Maximum304
Range304
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.002513
Coefficient of variation (CV)1.592528
Kurtosis26.663938
Mean13.816092
Median Absolute Deviation (MAD)4
Skewness3.6746215
Sum21636
Variance484.11057
MonotonicityNot monotonic
2023-12-13T03:31:52.657533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 542
 
5.4%
1 124
 
1.2%
2 61
 
0.6%
4 49
 
0.5%
3 43
 
0.4%
5 38
 
0.4%
24 29
 
0.3%
26 27
 
0.3%
7 26
 
0.3%
20 26
 
0.3%
Other values (92) 601
 
6.0%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 542
5.4%
1 124
 
1.2%
2 61
 
0.6%
3 43
 
0.4%
4 49
 
0.5%
5 38
 
0.4%
6 19
 
0.2%
7 26
 
0.3%
8 24
 
0.2%
9 15
 
0.1%
ValueCountFrequency (%)
304 1
< 0.1%
166 1
< 0.1%
162 1
< 0.1%
150 1
< 0.1%
136 1
< 0.1%
134 1
< 0.1%
130 1
< 0.1%
127 1
< 0.1%
120 2
< 0.1%
115 1
< 0.1%

장애수급자수(DSBT_RCPT_CNT)
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)3.2%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean3.1066411
Minimum0
Maximum107
Zeros861
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:52.777520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile14
Maximum107
Range107
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.657014
Coefficient of variation (CV)2.7866154
Kurtosis56.08471
Mean3.1066411
Median Absolute Deviation (MAD)0
Skewness6.4619288
Sum4865
Variance74.943892
MonotonicityNot monotonic
2023-12-13T03:31:52.898473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 861
 
8.6%
1 192
 
1.9%
2 117
 
1.2%
3 92
 
0.9%
6 43
 
0.4%
5 42
 
0.4%
4 34
 
0.3%
7 24
 
0.2%
10 18
 
0.2%
9 17
 
0.2%
Other values (40) 126
 
1.3%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 861
8.6%
1 192
 
1.9%
2 117
 
1.2%
3 92
 
0.9%
4 34
 
0.3%
5 42
 
0.4%
6 43
 
0.4%
7 24
 
0.2%
8 14
 
0.1%
9 17
 
0.2%
ValueCountFrequency (%)
107 1
 
< 0.1%
106 1
 
< 0.1%
105 1
 
< 0.1%
79 1
 
< 0.1%
78 1
 
< 0.1%
75 1
 
< 0.1%
68 1
 
< 0.1%
60 1
 
< 0.1%
59 1
 
< 0.1%
51 3
< 0.1%

차상위수(UN_RCPT_CNT)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.4%
Missing8433
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean0.031269943
Minimum0
Maximum17
Zeros1561
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:52.990141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.64200942
Coefficient of variation (CV)20.531199
Kurtosis531.85141
Mean0.031269943
Median Absolute Deviation (MAD)0
Skewness22.68939
Sum49
Variance0.4121761
MonotonicityNot monotonic
2023-12-13T03:31:53.092619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1561
 
15.6%
1 2
 
< 0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
14 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 8433
84.3%
ValueCountFrequency (%)
0 1561
15.6%
1 2
 
< 0.1%
4 1
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
14 1
 
< 0.1%
12 1
 
< 0.1%
4 1
 
< 0.1%
1 2
 
< 0.1%
0 1561
15.6%

담당자수(CHARGER_RCPT_CNT)
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)4.5%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean12.693487
Minimum0
Maximum91
Zeros180
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:53.202656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q319
95-th percentile35
Maximum91
Range91
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.141036
Coefficient of variation (CV)1.0352582
Kurtosis7.3783703
Mean12.693487
Median Absolute Deviation (MAD)7
Skewness2.1988165
Sum19878
Variance172.68682
MonotonicityNot monotonic
2023-12-13T03:31:53.317085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
1.8%
9 85
 
0.9%
2 81
 
0.8%
4 79
 
0.8%
10 78
 
0.8%
3 77
 
0.8%
5 74
 
0.7%
7 59
 
0.6%
1 58
 
0.6%
11 57
 
0.6%
Other values (61) 738
 
7.4%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 180
1.8%
1 58
 
0.6%
2 81
0.8%
3 77
0.8%
4 79
0.8%
5 74
0.7%
6 52
 
0.5%
7 59
 
0.6%
8 53
 
0.5%
9 85
0.9%
ValueCountFrequency (%)
91 1
 
< 0.1%
90 1
 
< 0.1%
89 2
< 0.1%
88 1
 
< 0.1%
87 1
 
< 0.1%
83 1
 
< 0.1%
80 2
< 0.1%
79 1
 
< 0.1%
72 3
< 0.1%
69 3
< 0.1%

남성수(MALE_CNT)
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)6.5%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean20.336526
Minimum0
Maximum242
Zeros95
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:53.438327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15
Q327
95-th percentile57
Maximum242
Range242
Interquartile range (IQR)21

Descriptive statistics

Standard deviation22.002812
Coefficient of variation (CV)1.0819356
Kurtosis22.616748
Mean20.336526
Median Absolute Deviation (MAD)10
Skewness3.5084507
Sum31847
Variance484.12374
MonotonicityNot monotonic
2023-12-13T03:31:53.561406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
 
0.9%
1 62
 
0.6%
4 62
 
0.6%
2 53
 
0.5%
15 52
 
0.5%
14 46
 
0.5%
12 46
 
0.5%
3 46
 
0.5%
7 44
 
0.4%
5 44
 
0.4%
Other values (92) 1016
 
10.2%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 95
0.9%
1 62
0.6%
2 53
0.5%
3 46
0.5%
4 62
0.6%
5 44
0.4%
6 40
0.4%
7 44
0.4%
8 42
0.4%
9 41
0.4%
ValueCountFrequency (%)
242 1
< 0.1%
240 1
< 0.1%
223 1
< 0.1%
190 1
< 0.1%
144 1
< 0.1%
141 1
< 0.1%
123 1
< 0.1%
119 1
< 0.1%
118 2
< 0.1%
116 1
< 0.1%

여성수(FEMALE_CNT)
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)6.5%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean19.360153
Minimum0
Maximum184
Zeros89
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:53.679370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median14
Q325
95-th percentile54.75
Maximum184
Range184
Interquartile range (IQR)19

Descriptive statistics

Standard deviation21.216198
Coefficient of variation (CV)1.0958693
Kurtosis14.499397
Mean19.360153
Median Absolute Deviation (MAD)9
Skewness3.0787959
Sum30318
Variance450.12708
MonotonicityNot monotonic
2023-12-13T03:31:53.798982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89
 
0.9%
1 69
 
0.7%
2 66
 
0.7%
10 62
 
0.6%
5 55
 
0.5%
6 54
 
0.5%
3 54
 
0.5%
8 51
 
0.5%
13 50
 
0.5%
11 48
 
0.5%
Other values (92) 968
 
9.7%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 89
0.9%
1 69
0.7%
2 66
0.7%
3 54
0.5%
4 44
0.4%
5 55
0.5%
6 54
0.5%
7 37
0.4%
8 51
0.5%
9 37
0.4%
ValueCountFrequency (%)
184 1
< 0.1%
183 1
< 0.1%
181 1
< 0.1%
151 1
< 0.1%
148 1
< 0.1%
146 1
< 0.1%
140 1
< 0.1%
136 2
< 0.1%
132 1
< 0.1%
131 1
< 0.1%

성인수(ADULT_CNT)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)10.0%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean37.226692
Minimum0
Maximum425
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:53.932055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q114
median28
Q347
95-th percentile101
Maximum425
Range425
Interquartile range (IQR)33

Descriptive statistics

Standard deviation39.530944
Coefficient of variation (CV)1.0618978
Kurtosis22.613046
Mean37.226692
Median Absolute Deviation (MAD)17
Skewness3.632834
Sum58297
Variance1562.6955
MonotonicityNot monotonic
2023-12-13T03:31:54.054006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 45
 
0.4%
5 44
 
0.4%
20 43
 
0.4%
1 42
 
0.4%
3 41
 
0.4%
6 38
 
0.4%
40 35
 
0.4%
24 35
 
0.4%
22 34
 
0.3%
25 33
 
0.3%
Other values (146) 1176
 
11.8%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 10
 
0.1%
1 42
0.4%
2 27
0.3%
3 41
0.4%
4 45
0.4%
5 44
0.4%
6 38
0.4%
7 19
0.2%
8 28
0.3%
9 23
0.2%
ValueCountFrequency (%)
425 1
< 0.1%
421 1
< 0.1%
407 1
< 0.1%
336 1
< 0.1%
248 1
< 0.1%
238 1
< 0.1%
237 1
< 0.1%
234 1
< 0.1%
231 1
< 0.1%
228 1
< 0.1%

미성년자수(MINOR_CNT)
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)3.1%
Missing8434
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean2.4699872
Minimum0
Maximum73
Zeros1159
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:54.434211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile17
Maximum73
Range73
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6717018
Coefficient of variation (CV)3.1059682
Kurtosis22.062937
Mean2.4699872
Median Absolute Deviation (MAD)0
Skewness4.4221161
Sum3868
Variance58.855009
MonotonicityNot monotonic
2023-12-13T03:31:54.607663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1159
 
11.6%
1 100
 
1.0%
2 48
 
0.5%
3 46
 
0.5%
4 26
 
0.3%
5 26
 
0.3%
7 19
 
0.2%
6 19
 
0.2%
9 8
 
0.1%
10 8
 
0.1%
Other values (39) 107
 
1.1%
(Missing) 8434
84.3%
ValueCountFrequency (%)
0 1159
11.6%
1 100
 
1.0%
2 48
 
0.5%
3 46
 
0.5%
4 26
 
0.3%
5 26
 
0.3%
6 19
 
0.2%
7 19
 
0.2%
8 6
 
0.1%
9 8
 
0.1%
ValueCountFrequency (%)
73 1
 
< 0.1%
67 1
 
< 0.1%
54 1
 
< 0.1%
53 1
 
< 0.1%
50 1
 
< 0.1%
48 3
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
45 2
< 0.1%
44 2
< 0.1%

총인원(TOTAL_CNT)
Real number (ℝ)

MISSING 

Distinct159
Distinct (%)10.1%
Missing8433
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean39.671347
Minimum0
Maximum425
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:54.764818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q115
median30
Q351
95-th percentile103
Maximum425
Range425
Interquartile range (IQR)36

Descriptive statistics

Standard deviation39.803538
Coefficient of variation (CV)1.0033322
Kurtosis21.331878
Mean39.671347
Median Absolute Deviation (MAD)18
Skewness3.4777576
Sum62165
Variance1584.3217
MonotonicityNot monotonic
2023-12-13T03:31:54.902726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 46
 
0.5%
6 45
 
0.4%
5 43
 
0.4%
30 38
 
0.4%
1 38
 
0.4%
8 37
 
0.4%
10 35
 
0.4%
4 34
 
0.3%
22 33
 
0.3%
26 32
 
0.3%
Other values (149) 1186
 
11.9%
(Missing) 8433
84.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 38
0.4%
2 16
 
0.2%
3 17
 
0.2%
4 34
0.3%
5 43
0.4%
6 45
0.4%
7 21
0.2%
8 37
0.4%
9 27
0.3%
ValueCountFrequency (%)
425 1
< 0.1%
421 1
< 0.1%
407 1
< 0.1%
336 1
< 0.1%
250 1
< 0.1%
240 1
< 0.1%
239 1
< 0.1%
238 1
< 0.1%
231 1
< 0.1%
228 1
< 0.1%

숙박구분 (K010)(STAY_FLAG)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8477 
1박2일
971 
당일
 
552

Length

Max length4
Median length4
Mean length3.8896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8477
84.8%
1박2일 971
 
9.7%
당일 552
 
5.5%

Length

2023-12-13T03:31:55.038682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:31:55.142196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8477
84.8%
1박2일 971
 
9.7%
당일 552
 
5.5%

1순위시작일(FIRST_START_DT)
Real number (ℝ)

MISSING 

Distinct615
Distinct (%)44.1%
Missing8607
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20192562
Minimum20170412
Maximum20211125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:55.288102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170412
5-th percentile20170615
Q120180705
median20190625
Q320200810
95-th percentile20210910
Maximum20211125
Range40713
Interquartile range (IQR)20105

Descriptive statistics

Standard deviation12206.794
Coefficient of variation (CV)0.00060451932
Kurtosis-0.90905077
Mean20192562
Median Absolute Deviation (MAD)10023
Skewness-0.11979902
Sum2.8128239 × 1010
Variance1.4900581 × 108
MonotonicityNot monotonic
2023-12-13T03:31:55.516366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190516 17
 
0.2%
20211014 11
 
0.1%
20190418 11
 
0.1%
20201015 10
 
0.1%
20180510 10
 
0.1%
20170511 9
 
0.1%
20190509 9
 
0.1%
20190404 9
 
0.1%
20180419 9
 
0.1%
20180517 8
 
0.1%
Other values (605) 1290
 
12.9%
(Missing) 8607
86.1%
ValueCountFrequency (%)
20170412 1
 
< 0.1%
20170413 1
 
< 0.1%
20170426 1
 
< 0.1%
20170427 2
 
< 0.1%
20170501 1
 
< 0.1%
20170504 1
 
< 0.1%
20170508 2
 
< 0.1%
20170509 3
 
< 0.1%
20170511 9
0.1%
20170512 2
 
< 0.1%
ValueCountFrequency (%)
20211125 2
 
< 0.1%
20211028 2
 
< 0.1%
20211026 2
 
< 0.1%
20211022 1
 
< 0.1%
20211021 5
0.1%
20211020 1
 
< 0.1%
20211019 3
 
< 0.1%
20211018 1
 
< 0.1%
20211015 3
 
< 0.1%
20211014 11
0.1%

1순위종료일(FIRST_END_DT)
Real number (ℝ)

MISSING 

Distinct630
Distinct (%)45.2%
Missing8607
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20192563
Minimum20170413
Maximum20211125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:55.719429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170413
5-th percentile20170616
Q120180706
median20190625
Q320200811
95-th percentile20210910
Maximum20211125
Range40712
Interquartile range (IQR)20105

Descriptive statistics

Standard deviation12207.007
Coefficient of variation (CV)0.00060452983
Kurtosis-0.90888583
Mean20192563
Median Absolute Deviation (MAD)10023
Skewness-0.11972762
Sum2.8128241 × 1010
Variance1.4901102 × 108
MonotonicityNot monotonic
2023-12-13T03:31:55.932741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190517 16
 
0.2%
20190510 13
 
0.1%
20201016 11
 
0.1%
20200911 11
 
0.1%
20211015 10
 
0.1%
20200508 10
 
0.1%
20180511 10
 
0.1%
20210514 10
 
0.1%
20170512 9
 
0.1%
20180420 9
 
0.1%
Other values (620) 1284
 
12.8%
(Missing) 8607
86.1%
ValueCountFrequency (%)
20170413 1
 
< 0.1%
20170414 1
 
< 0.1%
20170427 1
 
< 0.1%
20170428 2
 
< 0.1%
20170502 1
 
< 0.1%
20170504 1
 
< 0.1%
20170509 3
 
< 0.1%
20170510 2
 
< 0.1%
20170511 2
 
< 0.1%
20170512 9
0.1%
ValueCountFrequency (%)
20211125 2
 
< 0.1%
20211029 2
 
< 0.1%
20211027 1
 
< 0.1%
20211026 1
 
< 0.1%
20211023 1
 
< 0.1%
20211022 5
0.1%
20211021 1
 
< 0.1%
20211020 2
 
< 0.1%
20211019 1
 
< 0.1%
20211018 1
 
< 0.1%

2순위시작일(SECOND_START_DT)
Real number (ℝ)

MISSING 

Distinct634
Distinct (%)45.5%
Missing8607
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20192628
Minimum20170419
Maximum20211118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:56.187178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170419
5-th percentile20170626
Q120180822
median20190808
Q320200909
95-th percentile20210927
Maximum20211118
Range40699
Interquartile range (IQR)20087

Descriptive statistics

Standard deviation12204.694
Coefficient of variation (CV)0.00060441336
Kurtosis-0.90525996
Mean20192628
Median Absolute Deviation (MAD)10014
Skewness-0.1216323
Sum2.8128331 × 1010
Variance1.4895456 × 108
MonotonicityNot monotonic
2023-12-13T03:31:56.419171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200917 12
 
0.1%
20180517 11
 
0.1%
20190523 10
 
0.1%
20190516 9
 
0.1%
20180524 9
 
0.1%
20210916 9
 
0.1%
20200618 9
 
0.1%
20190425 9
 
0.1%
20200528 8
 
0.1%
20190926 8
 
0.1%
Other values (624) 1299
 
13.0%
(Missing) 8607
86.1%
ValueCountFrequency (%)
20170419 1
 
< 0.1%
20170420 1
 
< 0.1%
20170424 1
 
< 0.1%
20170426 1
 
< 0.1%
20170501 1
 
< 0.1%
20170505 1
 
< 0.1%
20170509 3
< 0.1%
20170510 1
 
< 0.1%
20170513 1
 
< 0.1%
20170516 1
 
< 0.1%
ValueCountFrequency (%)
20211118 1
 
< 0.1%
20211111 1
 
< 0.1%
20211108 1
 
< 0.1%
20211104 1
 
< 0.1%
20211101 1
 
< 0.1%
20211028 6
0.1%
20211026 3
 
< 0.1%
20211022 4
< 0.1%
20211021 8
0.1%
20211020 3
 
< 0.1%

2순위종료일(SECOND_END_DT)
Real number (ℝ)

MISSING 

Distinct630
Distinct (%)45.2%
Missing8607
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20192629
Minimum20170420
Maximum20211119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:56.580678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170420
5-th percentile20170627
Q120180823
median20190808
Q320200910
95-th percentile20210928
Maximum20211119
Range40699
Interquartile range (IQR)20087

Descriptive statistics

Standard deviation12204.525
Coefficient of variation (CV)0.00060440493
Kurtosis-0.90514651
Mean20192629
Median Absolute Deviation (MAD)10015
Skewness-0.12166963
Sum2.8128332 × 1010
Variance1.4895042 × 108
MonotonicityNot monotonic
2023-12-13T03:31:56.773998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190524 16
 
0.2%
20200918 13
 
0.1%
20190927 10
 
0.1%
20190517 10
 
0.1%
20200619 10
 
0.1%
20210917 9
 
0.1%
20200515 9
 
0.1%
20180518 9
 
0.1%
20190516 9
 
0.1%
20170616 8
 
0.1%
Other values (620) 1290
 
12.9%
(Missing) 8607
86.1%
ValueCountFrequency (%)
20170420 1
 
< 0.1%
20170421 1
 
< 0.1%
20170425 1
 
< 0.1%
20170427 1
 
< 0.1%
20170502 1
 
< 0.1%
20170506 1
 
< 0.1%
20170510 3
< 0.1%
20170511 1
 
< 0.1%
20170514 1
 
< 0.1%
20170516 1
 
< 0.1%
ValueCountFrequency (%)
20211119 1
 
< 0.1%
20211112 1
 
< 0.1%
20211108 1
 
< 0.1%
20211105 1
 
< 0.1%
20211102 1
 
< 0.1%
20211029 3
< 0.1%
20211028 3
< 0.1%
20211027 2
< 0.1%
20211026 1
 
< 0.1%
20211023 3
< 0.1%

3순위시작일(THIRD_START_DT)
Real number (ℝ)

MISSING 

Distinct661
Distinct (%)47.5%
Missing8607
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20192671
Minimum20170405
Maximum20211225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:56.980428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170405
5-th percentile20170720
Q120181010
median20190925
Q320200925
95-th percentile20211014
Maximum20211225
Range40820
Interquartile range (IQR)19915

Descriptive statistics

Standard deviation12229.06
Coefficient of variation (CV)0.00060561872
Kurtosis-0.90543627
Mean20192671
Median Absolute Deviation (MAD)9998
Skewness-0.12489196
Sum2.8128391 × 1010
Variance1.495499 × 108
MonotonicityNot monotonic
2023-12-13T03:31:57.202652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200917 14
 
0.1%
20201022 13
 
0.1%
20191017 11
 
0.1%
20211007 10
 
0.1%
20180524 10
 
0.1%
20210923 9
 
0.1%
20190530 9
 
0.1%
20211014 9
 
0.1%
20190613 9
 
0.1%
20190620 8
 
0.1%
Other values (651) 1291
 
12.9%
(Missing) 8607
86.1%
ValueCountFrequency (%)
20170405 1
 
< 0.1%
20170412 1
 
< 0.1%
20170420 2
< 0.1%
20170421 1
 
< 0.1%
20170424 1
 
< 0.1%
20170426 1
 
< 0.1%
20170427 1
 
< 0.1%
20170507 1
 
< 0.1%
20170509 2
< 0.1%
20170510 3
< 0.1%
ValueCountFrequency (%)
20211225 1
 
< 0.1%
20211210 1
 
< 0.1%
20211208 1
 
< 0.1%
20211201 1
 
< 0.1%
20211129 1
 
< 0.1%
20211123 3
< 0.1%
20211120 2
< 0.1%
20211118 2
< 0.1%
20211117 1
 
< 0.1%
20211116 1
 
< 0.1%

3순위종료일(THIRD_END_DT)
Real number (ℝ)

MISSING 

Distinct652
Distinct (%)46.8%
Missing8607
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20192673
Minimum20170405
Maximum20211226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:57.438370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170405
5-th percentile20170721
Q120181011
median20190925
Q320200925
95-th percentile20211015
Maximum20211226
Range40821
Interquartile range (IQR)19914

Descriptive statistics

Standard deviation12229.275
Coefficient of variation (CV)0.00060562933
Kurtosis-0.90549841
Mean20192673
Median Absolute Deviation (MAD)9999
Skewness-0.12480997
Sum2.8128393 × 1010
Variance1.4955516 × 108
MonotonicityNot monotonic
2023-12-13T03:31:57.654712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201023 14
 
0.1%
20200918 13
 
0.1%
20211008 13
 
0.1%
20190614 12
 
0.1%
20191018 11
 
0.1%
20191011 10
 
0.1%
20201030 10
 
0.1%
20191025 9
 
0.1%
20201016 8
 
0.1%
20180525 8
 
0.1%
Other values (642) 1285
 
12.8%
(Missing) 8607
86.1%
ValueCountFrequency (%)
20170405 1
 
< 0.1%
20170413 1
 
< 0.1%
20170421 2
< 0.1%
20170422 1
 
< 0.1%
20170425 1
 
< 0.1%
20170427 1
 
< 0.1%
20170428 1
 
< 0.1%
20170508 1
 
< 0.1%
20170510 2
< 0.1%
20170511 3
< 0.1%
ValueCountFrequency (%)
20211226 1
< 0.1%
20211211 1
< 0.1%
20211208 1
< 0.1%
20211202 1
< 0.1%
20211130 1
< 0.1%
20211124 2
< 0.1%
20211123 1
< 0.1%
20211121 1
< 0.1%
20211120 1
< 0.1%
20211119 2
< 0.1%

위약금지불동의서(PENALTY_AGREE)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing8437
Missing (%)84.4%
Memory size97.7 KiB
True
1563 
(Missing)
8437 
ValueCountFrequency (%)
True 1563
 
15.6%
(Missing) 8437
84.4%
2023-12-13T03:31:57.829551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사진활용동의서(PHOTO_AGREE)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing8437
Missing (%)84.4%
Memory size97.7 KiB
True
1563 
(Missing)
8437 
ValueCountFrequency (%)
True 1563
 
15.6%
(Missing) 8437
84.4%
2023-12-13T03:31:57.930098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1495
Distinct (%)95.2%
Missing8429
Missing (%)84.3%
Memory size156.2 KiB
Minimum2017-01-24 10:00:45
Maximum2021-02-15 15:36:28
2023-12-13T03:31:58.066039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:31:58.274987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1491
Distinct (%)100.0%
Missing8509
Missing (%)85.1%
Memory size156.2 KiB
Minimum2017-01-24 17:48:21
Maximum2021-06-10 12:36:10
2023-12-13T03:31:58.425639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:31:58.596545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

거동제한자(WEAK_CNT)
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)7.7%
Missing8721
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean15.931196
Minimum0
Maximum372
Zeros428
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:58.816042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q323.5
95-th percentile58.1
Maximum372
Range372
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation25.688119
Coefficient of variation (CV)1.6124413
Kurtosis47.340867
Mean15.931196
Median Absolute Deviation (MAD)6
Skewness4.9747829
Sum20376
Variance659.87946
MonotonicityNot monotonic
2023-12-13T03:31:58.996626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 428
 
4.3%
3 48
 
0.5%
10 47
 
0.5%
20 43
 
0.4%
4 38
 
0.4%
5 38
 
0.4%
30 36
 
0.4%
1 36
 
0.4%
2 33
 
0.3%
15 28
 
0.3%
Other values (89) 504
 
5.0%
(Missing) 8721
87.2%
ValueCountFrequency (%)
0 428
4.3%
1 36
 
0.4%
2 33
 
0.3%
3 48
 
0.5%
4 38
 
0.4%
5 38
 
0.4%
6 21
 
0.2%
7 18
 
0.2%
8 10
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
372 1
< 0.1%
315 1
< 0.1%
159 1
< 0.1%
153 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
145 1
< 0.1%
142 1
< 0.1%
131 1
< 0.1%
127 1
< 0.1%

장애인연금수급자(DISB_PENS_CNT)
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)11.5%
Missing9296
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean17.115057
Minimum0
Maximum239
Zeros111
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:59.173124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q323
95-th percentile56
Maximum239
Range239
Interquartile range (IQR)21

Descriptive statistics

Standard deviation23.690263
Coefficient of variation (CV)1.3841767
Kurtosis26.742715
Mean17.115057
Median Absolute Deviation (MAD)10
Skewness4.1101404
Sum12049
Variance561.22856
MonotonicityNot monotonic
2023-12-13T03:31:59.341237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
 
1.1%
1 41
 
0.4%
3 38
 
0.4%
4 29
 
0.3%
2 26
 
0.3%
10 23
 
0.2%
17 19
 
0.2%
23 18
 
0.2%
7 18
 
0.2%
14 18
 
0.2%
Other values (71) 363
 
3.6%
(Missing) 9296
93.0%
ValueCountFrequency (%)
0 111
1.1%
1 41
 
0.4%
2 26
 
0.3%
3 38
 
0.4%
4 29
 
0.3%
5 15
 
0.1%
6 15
 
0.1%
7 18
 
0.2%
8 18
 
0.2%
9 11
 
0.1%
ValueCountFrequency (%)
239 1
< 0.1%
236 1
< 0.1%
147 2
< 0.1%
142 1
< 0.1%
135 1
< 0.1%
128 1
< 0.1%
123 1
< 0.1%
117 1
< 0.1%
115 1
< 0.1%
109 1
< 0.1%

사업년도(BIZ_YEAR).1
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.51
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:31:59.505858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2017
Q12018
median2019
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0319915
Coefficient of variation (CV)0.00051126401
Kurtosis-0.16412681
Mean2018.51
Median Absolute Deviation (MAD)1
Skewness-0.54530066
Sum20185100
Variance1.0650065
MonotonicityNot monotonic
2023-12-13T03:31:59.643319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 4101
41.0%
2018 2724
27.2%
2020 1541
 
15.4%
2017 1187
 
11.9%
2016 445
 
4.5%
2015 2
 
< 0.1%
ValueCountFrequency (%)
2015 2
 
< 0.1%
2016 445
 
4.5%
2017 1187
 
11.9%
2018 2724
27.2%
2019 4101
41.0%
2020 1541
 
15.4%
ValueCountFrequency (%)
2020 1541
 
15.4%
2019 4101
41.0%
2018 2724
27.2%
2017 1187
 
11.9%
2016 445
 
4.5%
2015 2
 
< 0.1%

사업번호(BIZ_NO)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9999 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9999
> 99.9%
2 1
 
< 0.1%

Length

2023-12-13T03:31:59.789405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:31:59.896781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9999
> 99.9%
2 1
 
< 0.1%

신청일자(REQ_DT)
Real number (ℝ)

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20184404
Minimum20160704
Maximum20200306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:00.385314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160704
5-th percentile20170123
Q120180118
median20181231
Q320190131
95-th percentile20200204
Maximum20200306
Range39602
Interquartile range (IQR)10013

Descriptive statistics

Standard deviation10455.733
Coefficient of variation (CV)0.00051801049
Kurtosis-0.54228481
Mean20184404
Median Absolute Deviation (MAD)8899
Skewness-0.29626774
Sum2.0184404 × 1011
Variance1.0932236 × 108
MonotonicityNot monotonic
2023-12-13T03:32:00.581353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180131 1356
 
13.6%
20200203 723
 
7.2%
20190313 589
 
5.9%
20190131 463
 
4.6%
20190130 375
 
3.8%
20200204 345
 
3.5%
20161015 314
 
3.1%
20200205 249
 
2.5%
20190129 193
 
1.9%
20190107 157
 
1.6%
Other values (197) 5236
52.4%
ValueCountFrequency (%)
20160704 1
 
< 0.1%
20160711 2
 
< 0.1%
20160725 3
 
< 0.1%
20160801 14
0.1%
20160805 12
0.1%
20160810 6
0.1%
20160822 11
0.1%
20160826 10
0.1%
20160902 11
0.1%
20160907 1
 
< 0.1%
ValueCountFrequency (%)
20200306 4
 
< 0.1%
20200305 9
0.1%
20200304 2
 
< 0.1%
20200303 19
0.2%
20200302 14
0.1%
20200221 22
0.2%
20200220 6
 
0.1%
20200219 3
 
< 0.1%
20200218 12
0.1%
20200217 3
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
발급선정
5157 
접수완료
2981 
이월등록
1254 
미선정
596 
반려
 
12

Length

Max length4
Median length4
Mean length3.938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발급선정
2nd row접수완료
3rd row발급선정
4th row발급선정
5th row이월등록

Common Values

ValueCountFrequency (%)
발급선정 5157
51.6%
접수완료 2981
29.8%
이월등록 1254
 
12.5%
미선정 596
 
6.0%
반려 12
 
0.1%

Length

2023-12-13T03:32:00.743916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:00.861202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발급선정 5157
51.6%
접수완료 2981
29.8%
이월등록 1254
 
12.5%
미선정 596
 
6.0%
반려 12
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인
8921 
시설
1079 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row시설

Common Values

ValueCountFrequency (%)
개인 8921
89.2%
시설 1079
 
10.8%

Length

2023-12-13T03:32:00.989410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:01.101460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 8921
89.2%
시설 1079
 
10.8%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:01.181677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
2586 
admin02
1841 
admin01
1370 
lim1001
1101 
RD_finecpn17
1004 
Other values (38)
2098 

Length

Max length12
Median length7
Mean length6.872
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowRD_finecpn17
2nd row<NA>
3rd rowRD_finecpn17
4th rowRD_finecpn17
5th rowadmin05

Common Values

ValueCountFrequency (%)
<NA> 2586
25.9%
admin02 1841
18.4%
admin01 1370
13.7%
lim1001 1101
11.0%
RD_finecpn17 1004
 
10.0%
admin05 790
 
7.9%
admin04 159
 
1.6%
kimcherish 153
 
1.5%
hsyoung96 116
 
1.2%
thdus5701 84
 
0.8%
Other values (33) 796
 
8.0%

Length

2023-12-13T03:32:01.302210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2586
25.9%
admin02 1841
18.4%
admin01 1370
13.7%
lim1001 1101
11.0%
rd_finecpn17 1004
 
10.0%
admin05 790
 
7.9%
admin04 159
 
1.6%
kimcherish 153
 
1.5%
hsyoung96 116
 
1.2%
thdus5701 84
 
0.8%
Other values (33) 796
 
8.0%

처리일자(APRV_DT)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)1.6%
Missing2586
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean20185974
Minimum20160921
Maximum20200306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:01.472977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160921
5-th percentile20170302
Q120180131
median20190211
Q320190313
95-th percentile20200306
Maximum20200306
Range39385
Interquartile range (IQR)10182

Descriptive statistics

Standard deviation10158.714
Coefficient of variation (CV)0.00050325606
Kurtosis-0.93268519
Mean20185974
Median Absolute Deviation (MAD)10080
Skewness-0.16130394
Sum1.4965881 × 1011
Variance1.0319946 × 108
MonotonicityNot monotonic
2023-12-13T03:32:01.683747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180131 1936
19.4%
20190305 1369
13.7%
20170302 1027
 
10.3%
20200306 1004
 
10.0%
20190313 782
 
7.8%
20200220 164
 
1.6%
20170307 89
 
0.9%
20200222 62
 
0.6%
20200221 57
 
0.6%
20200224 51
 
0.5%
Other values (107) 873
 
8.7%
(Missing) 2586
25.9%
ValueCountFrequency (%)
20160921 1
 
< 0.1%
20160923 4
 
< 0.1%
20160927 6
0.1%
20160929 9
0.1%
20160930 1
 
< 0.1%
20161004 11
0.1%
20161024 5
0.1%
20161027 11
0.1%
20161228 12
0.1%
20170125 2
 
< 0.1%
ValueCountFrequency (%)
20200306 1004
10.0%
20200305 1
 
< 0.1%
20200229 4
 
< 0.1%
20200228 5
 
0.1%
20200227 8
 
0.1%
20200226 9
 
0.1%
20200225 22
 
0.2%
20200224 51
 
0.5%
20200222 62
 
0.6%
20200221 57
 
0.6%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:01.813112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:01.892047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct8292
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-09-09 09:48:05
Maximum2020-02-21 19:34:00
2023-12-13T03:32:02.021463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:02.165977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3629
Distinct (%)44.4%
Missing1823
Missing (%)18.2%
Memory size156.2 KiB
Minimum2016-09-21 17:41:36
Maximum2020-08-07 14:37:04
2023-12-13T03:32:02.321107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:02.508975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
6047 
True
3953 
ValueCountFrequency (%)
False 6047
60.5%
True 3953
39.5%
2023-12-13T03:32:02.630352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct99
Distinct (%)3.3%
Missing6985
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean27.957546
Minimum0
Maximum100
Zeros1790
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:02.764661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q364
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)64

Descriptive statistics

Standard deviation38.623927
Coefficient of variation (CV)1.3815207
Kurtosis-0.9556499
Mean27.957546
Median Absolute Deviation (MAD)0
Skewness0.87860672
Sum84292
Variance1491.8078
MonotonicityNot monotonic
2023-12-13T03:32:02.939210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1790
 
17.9%
100 259
 
2.6%
50 39
 
0.4%
85 27
 
0.3%
95 24
 
0.2%
91 23
 
0.2%
75 22
 
0.2%
67 22
 
0.2%
80 21
 
0.2%
60 20
 
0.2%
Other values (89) 768
 
7.7%
(Missing) 6985
69.8%
ValueCountFrequency (%)
0 1790
17.9%
1 9
 
0.1%
2 11
 
0.1%
3 4
 
< 0.1%
4 5
 
0.1%
5 10
 
0.1%
6 4
 
< 0.1%
7 5
 
0.1%
8 3
 
< 0.1%
9 5
 
0.1%
ValueCountFrequency (%)
100 259
2.6%
99 13
 
0.1%
98 12
 
0.1%
97 10
 
0.1%
96 17
 
0.2%
95 24
 
0.2%
94 19
 
0.2%
93 17
 
0.2%
92 18
 
0.2%
91 23
 
0.2%
Distinct33
Distinct (%)2.1%
Missing8458
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean97.835927
Minimum33
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:03.107501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile78
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.1112345
Coefficient of variation (CV)0.093127696
Kurtosis20.282215
Mean97.835927
Median Absolute Deviation (MAD)0
Skewness-4.5075665
Sum150863
Variance83.014594
MonotonicityNot monotonic
2023-12-13T03:32:03.287747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
100 1443
 
14.4%
50 22
 
0.2%
67 18
 
0.2%
75 14
 
0.1%
80 6
 
0.1%
93 3
 
< 0.1%
73 3
 
< 0.1%
60 3
 
< 0.1%
38 2
 
< 0.1%
71 2
 
< 0.1%
Other values (23) 26
 
0.3%
(Missing) 8458
84.6%
ValueCountFrequency (%)
33 1
 
< 0.1%
38 2
 
< 0.1%
40 2
 
< 0.1%
42 1
 
< 0.1%
43 1
 
< 0.1%
49 1
 
< 0.1%
50 22
0.2%
54 1
 
< 0.1%
55 1
 
< 0.1%
60 3
 
< 0.1%
ValueCountFrequency (%)
100 1443
14.4%
98 1
 
< 0.1%
97 1
 
< 0.1%
96 1
 
< 0.1%
93 3
 
< 0.1%
92 1
 
< 0.1%
90 1
 
< 0.1%
88 1
 
< 0.1%
86 2
 
< 0.1%
83 1
 
< 0.1%
Distinct37
Distinct (%)2.4%
Missing8458
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean93.434501
Minimum25
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:03.423199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile50
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.32234
Coefficient of variation (CV)0.16399017
Kurtosis3.6553195
Mean93.434501
Median Absolute Deviation (MAD)0
Skewness-2.2152379
Sum144076
Variance234.7741
MonotonicityNot monotonic
2023-12-13T03:32:03.581201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
100 1271
 
12.7%
50 89
 
0.9%
67 66
 
0.7%
75 38
 
0.4%
80 15
 
0.1%
60 11
 
0.1%
33 8
 
0.1%
83 5
 
0.1%
86 4
 
< 0.1%
71 3
 
< 0.1%
Other values (27) 32
 
0.3%
(Missing) 8458
84.6%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
33 8
 
0.1%
40 2
 
< 0.1%
42 1
 
< 0.1%
45 1
 
< 0.1%
50 89
0.9%
52 1
 
< 0.1%
53 1
 
< 0.1%
54 1
 
< 0.1%
ValueCountFrequency (%)
100 1271
12.7%
93 1
 
< 0.1%
91 1
 
< 0.1%
90 2
 
< 0.1%
89 1
 
< 0.1%
88 1
 
< 0.1%
86 4
 
< 0.1%
85 3
 
< 0.1%
83 5
 
0.1%
82 1
 
< 0.1%
Distinct2
Distinct (%)0.1%
Missing8458
Missing (%)84.6%
Memory size97.7 KiB
False
1317 
True
 
225
(Missing)
8458 
ValueCountFrequency (%)
False 1317
 
13.2%
True 225
 
2.2%
(Missing) 8458
84.6%
2023-12-13T03:32:03.717400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing8458
Missing (%)84.6%
Memory size97.7 KiB
True
1018 
False
 
524
(Missing)
8458 
ValueCountFrequency (%)
True 1018
 
10.2%
False 524
 
5.2%
(Missing) 8458
84.6%
2023-12-13T03:32:03.820307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
KFWI
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKFWI
2nd rowKFWI
3rd rowKFWI
4th rowKFWI
5th rowKFWI

Common Values

ValueCountFrequency (%)
KFWI 10000
100.0%

Length

2023-12-13T03:32:03.929760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:04.061822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kfwi 10000
100.0%

타사이트추적PK 2020.10.23(SITE_TRACENO)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

문자서비스수신동의(SMS_FLAG)
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing8427
Missing (%)84.3%
Memory size97.7 KiB
True
1558 
False
 
15
(Missing)
8427 
ValueCountFrequency (%)
True 1558
 
15.6%
False 15
 
0.1%
(Missing) 8427
84.3%
2023-12-13T03:32:04.189697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전자우편수신동의(EMAIL_FLAG)
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing8427
Missing (%)84.3%
Memory size97.7 KiB
True
1557 
False
 
16
(Missing)
8427 
ValueCountFrequency (%)
True 1557
 
15.6%
False 16
 
0.2%
(Missing) 8427
84.3%
2023-12-13T03:32:04.307590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1484
Distinct (%)94.3%
Missing8427
Missing (%)84.3%
Memory size156.2 KiB
Minimum2017-01-23 18:39:52
Maximum2021-02-08 09:20:28
2023-12-13T03:32:04.457424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:04.648687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1480
Distinct (%)100.0%
Missing8520
Missing (%)85.2%
Memory size156.2 KiB
Minimum2017-01-24 11:37:26
Maximum2021-06-14 18:25:09
2023-12-13T03:32:04.823180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:05.003111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업년도(BIZ_YEAR).2
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8427 
2019
 
408
2021
 
367
2018
 
352
2020
 
335

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8427
84.3%
2019 408
 
4.1%
2021 367
 
3.7%
2018 352
 
3.5%
2020 335
 
3.4%
2017 111
 
1.1%

Length

2023-12-13T03:32:05.219449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:05.355149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8427
84.3%
2019 408
 
4.1%
2021 367
 
3.7%
2018 352
 
3.5%
2020 335
 
3.4%
2017 111
 
1.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8427 
1
1573 

Length

Max length4
Median length4
Mean length3.5281
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8427
84.3%
1 1573
 
15.7%

Length

2023-12-13T03:32:05.507203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:05.632172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8427
84.3%
1 1573
 
15.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5835 
2019
3344 
2018
821 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5835
58.4%
2019 3344
33.4%
2018 821
 
8.2%

Length

2023-12-13T03:32:05.749259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:05.861404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5835
58.4%
2019 3344
33.4%
2018 821
 
8.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5835 
1
4165 

Length

Max length4
Median length4
Mean length2.7505
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5835
58.4%
1 4165
41.6%

Length

2023-12-13T03:32:06.006844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:06.135213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5835
58.4%
1 4165
41.6%

신청일자(REQ_DT).1
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)1.9%
Missing5835
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean20186412
Minimum20171220
Maximum20190213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:06.603243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171220
5-th percentile20180108
Q120181221
median20190110
Q320190128
95-th percentile20190131
Maximum20190213
Range18993
Interquartile range (IQR)8907

Descriptive statistics

Standard deviation5251.0527
Coefficient of variation (CV)0.00026012808
Kurtosis0.070617395
Mean20186412
Median Absolute Deviation (MAD)20
Skewness-1.0452895
Sum8.4076408 × 1010
Variance27573555
MonotonicityNot monotonic
2023-12-13T03:32:06.742010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190131 420
 
4.2%
20190130 352
 
3.5%
20180131 260
 
2.6%
20190129 194
 
1.9%
20190107 160
 
1.6%
20181226 155
 
1.6%
20190118 153
 
1.5%
20190104 139
 
1.4%
20190111 131
 
1.3%
20181220 112
 
1.1%
Other values (70) 2089
 
20.9%
(Missing) 5835
58.4%
ValueCountFrequency (%)
20171220 34
0.3%
20171221 26
0.3%
20171222 16
0.2%
20171223 8
 
0.1%
20171224 4
 
< 0.1%
20171225 4
 
< 0.1%
20171226 14
0.1%
20171227 9
 
0.1%
20171228 13
 
0.1%
20171229 9
 
0.1%
ValueCountFrequency (%)
20190213 1
 
< 0.1%
20190212 1
 
< 0.1%
20190211 7
 
0.1%
20190208 3
 
< 0.1%
20190207 7
 
0.1%
20190201 39
 
0.4%
20190131 420
4.2%
20190130 352
3.5%
20190129 194
1.9%
20190128 72
 
0.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5835 
개인
3770 
시설
 
395

Length

Max length4
Median length4
Mean length3.167
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5835
58.4%
개인 3770
37.7%
시설 395
 
4.0%

Length

2023-12-13T03:32:06.891211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:07.004539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5835
58.4%
개인 3770
37.7%
시설 395
 
4.0%

승인일자(APRV_DT)
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)9.0%
Missing9367
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean20185592
Minimum20171220
Maximum20190211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:07.121989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20171220
5-th percentile20180116
Q120180131
median20190107
Q320190121
95-th percentile20190130
Maximum20190211
Range18991
Interquartile range (IQR)9990

Descriptive statistics

Standard deviation5168.4665
Coefficient of variation (CV)0.0002560473
Kurtosis-1.0198409
Mean20185592
Median Absolute Deviation (MAD)23
Skewness-0.49510438
Sum1.277748 × 1010
Variance26713046
MonotonicityNot monotonic
2023-12-13T03:32:07.271199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180131 53
 
0.5%
20190130 38
 
0.4%
20190107 34
 
0.3%
20181226 30
 
0.3%
20190129 27
 
0.3%
20190111 22
 
0.2%
20190115 20
 
0.2%
20190131 19
 
0.2%
20180125 19
 
0.2%
20190117 18
 
0.2%
Other values (47) 353
 
3.5%
(Missing) 9367
93.7%
ValueCountFrequency (%)
20171220 1
 
< 0.1%
20171221 2
 
< 0.1%
20171222 1
 
< 0.1%
20171226 2
 
< 0.1%
20171227 1
 
< 0.1%
20171228 1
 
< 0.1%
20171229 5
0.1%
20180102 3
< 0.1%
20180103 6
0.1%
20180104 3
< 0.1%
ValueCountFrequency (%)
20190211 1
 
< 0.1%
20190131 19
0.2%
20190130 38
0.4%
20190129 27
0.3%
20190128 9
 
0.1%
20190126 3
 
< 0.1%
20190125 11
 
0.1%
20190124 10
 
0.1%
20190123 14
 
0.1%
20190122 11
 
0.1%
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5835 
서울특별시
877 
경기도
768 
전라북도
 
322
인천광역시
 
320
Other values (13)
1878 

Length

Max length7
Median length4
Mean length4.1362
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5835
58.4%
서울특별시 877
 
8.8%
경기도 768
 
7.7%
전라북도 322
 
3.2%
인천광역시 320
 
3.2%
대구광역시 249
 
2.5%
부산광역시 239
 
2.4%
경상북도 218
 
2.2%
광주광역시 203
 
2.0%
대전광역시 182
 
1.8%
Other values (8) 787
 
7.9%

Length

2023-12-13T03:32:07.427738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5835
58.4%
서울특별시 877
 
8.8%
경기도 768
 
7.7%
전라북도 322
 
3.2%
인천광역시 320
 
3.2%
대구광역시 249
 
2.5%
부산광역시 239
 
2.4%
경상북도 218
 
2.2%
광주광역시 203
 
2.0%
대전광역시 182
 
1.8%
Other values (8) 787
 
7.9%

신청서인원(TOTAL_CNT)
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)2.4%
Missing5835
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.7978391
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:07.559940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile30
Maximum231
Range230
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.878856
Coefficient of variation (CV)2.5662761
Kurtosis53.396203
Mean5.7978391
Median Absolute Deviation (MAD)1
Skewness6.1506293
Sum24148
Variance221.38035
MonotonicityNot monotonic
2023-12-13T03:32:07.687209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1677
 
16.8%
2 753
 
7.5%
3 633
 
6.3%
4 427
 
4.3%
5 206
 
2.1%
6 67
 
0.7%
8 25
 
0.2%
7 23
 
0.2%
20 14
 
0.1%
25 12
 
0.1%
Other values (88) 328
 
3.3%
(Missing) 5835
58.4%
ValueCountFrequency (%)
1 1677
16.8%
2 753
7.5%
3 633
 
6.3%
4 427
 
4.3%
5 206
 
2.1%
6 67
 
0.7%
7 23
 
0.2%
8 25
 
0.2%
9 10
 
0.1%
10 8
 
0.1%
ValueCountFrequency (%)
231 1
< 0.1%
224 1
< 0.1%
195 1
< 0.1%
176 1
< 0.1%
166 1
< 0.1%
138 1
< 0.1%
136 1
< 0.1%
131 1
< 0.1%
130 2
< 0.1%
119 1
< 0.1%

신청인원(REQ_CNT)
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)2.4%
Missing5835
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.7978391
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:07.802448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile30
Maximum231
Range230
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.878856
Coefficient of variation (CV)2.5662761
Kurtosis53.396203
Mean5.7978391
Median Absolute Deviation (MAD)1
Skewness6.1506293
Sum24148
Variance221.38035
MonotonicityNot monotonic
2023-12-13T03:32:07.919117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1677
 
16.8%
2 753
 
7.5%
3 633
 
6.3%
4 427
 
4.3%
5 206
 
2.1%
6 67
 
0.7%
8 25
 
0.2%
7 23
 
0.2%
20 14
 
0.1%
25 12
 
0.1%
Other values (88) 328
 
3.3%
(Missing) 5835
58.4%
ValueCountFrequency (%)
1 1677
16.8%
2 753
7.5%
3 633
 
6.3%
4 427
 
4.3%
5 206
 
2.1%
6 67
 
0.7%
7 23
 
0.2%
8 25
 
0.2%
9 10
 
0.1%
10 8
 
0.1%
ValueCountFrequency (%)
231 1
< 0.1%
224 1
< 0.1%
195 1
< 0.1%
176 1
< 0.1%
166 1
< 0.1%
138 1
< 0.1%
136 1
< 0.1%
131 1
< 0.1%
130 2
< 0.1%
119 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5835 
0
4165 

Length

Max length4
Median length4
Mean length2.7505
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5835
58.4%
0 4165
41.6%

Length

2023-12-13T03:32:08.031070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:08.118164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5835
58.4%
0 4165
41.6%

총지원금(TOTAL_AMT)
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)2.4%
Missing5835
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean579783.91
Minimum100000
Maximum23100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:08.222344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile100000
Q1100000
median200000
Q3400000
95-th percentile3000000
Maximum23100000
Range23000000
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation1487885.6
Coefficient of variation (CV)2.5662761
Kurtosis53.396203
Mean579783.91
Median Absolute Deviation (MAD)100000
Skewness6.1506293
Sum2.4148 × 109
Variance2.2138035 × 1012
MonotonicityNot monotonic
2023-12-13T03:32:08.355493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 1677
 
16.8%
200000 753
 
7.5%
300000 633
 
6.3%
400000 427
 
4.3%
500000 206
 
2.1%
600000 67
 
0.7%
800000 25
 
0.2%
700000 23
 
0.2%
2000000 14
 
0.1%
2500000 12
 
0.1%
Other values (88) 328
 
3.3%
(Missing) 5835
58.4%
ValueCountFrequency (%)
100000 1677
16.8%
200000 753
7.5%
300000 633
 
6.3%
400000 427
 
4.3%
500000 206
 
2.1%
600000 67
 
0.7%
700000 23
 
0.2%
800000 25
 
0.2%
900000 10
 
0.1%
1000000 8
 
0.1%
ValueCountFrequency (%)
23100000 1
< 0.1%
22400000 1
< 0.1%
19500000 1
< 0.1%
17600000 1
< 0.1%
16600000 1
< 0.1%
13800000 1
< 0.1%
13600000 1
< 0.1%
13100000 1
< 0.1%
13000000 2
< 0.1%
11900000 1
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5835 
선정
2208 
미선정
1957 

Length

Max length4
Median length4
Mean length3.3627
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5835
58.4%
선정 2208
 
22.1%
미선정 1957
 
19.6%

Length

2023-12-13T03:32:08.484044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:08.572713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5835
58.4%
선정 2208
 
22.1%
미선정 1957
 
19.6%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2017
6122 
2016
3794 
2018
 
82
2015
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 6122
61.2%
2016 3794
37.9%
2018 82
 
0.8%
2015 2
 
< 0.1%

Length

2023-12-13T03:32:08.674249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:08.766209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 6122
61.2%
2016 3794
37.9%
2018 82
 
0.8%
2015 2
 
< 0.1%

사업번호(BIZ_NO).2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-13T03:32:08.862470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:08.952066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

일련번호(SEQ)
Real number (ℝ)

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.054
Minimum1
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:09.054211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median15
Q334
95-th percentile85.05
Maximum242
Range241
Interquartile range (IQR)31

Descriptive statistics

Standard deviation32.107802
Coefficient of variation (CV)1.281544
Kurtosis9.4935098
Mean25.054
Median Absolute Deviation (MAD)13
Skewness2.6487006
Sum250540
Variance1030.911
MonotonicityNot monotonic
2023-12-13T03:32:09.264570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1592
 
15.9%
2 694
 
6.9%
3 500
 
5.0%
4 347
 
3.5%
5 252
 
2.5%
6 200
 
2.0%
20 179
 
1.8%
10 178
 
1.8%
7 175
 
1.8%
8 171
 
1.7%
Other values (214) 5712
57.1%
ValueCountFrequency (%)
1 1592
15.9%
2 694
6.9%
3 500
 
5.0%
4 347
 
3.5%
5 252
 
2.5%
6 200
 
2.0%
7 175
 
1.8%
8 171
 
1.7%
9 170
 
1.7%
10 178
 
1.8%
ValueCountFrequency (%)
242 1
< 0.1%
241 1
< 0.1%
240 1
< 0.1%
239 1
< 0.1%
238 1
< 0.1%
237 2
< 0.1%
234 1
< 0.1%
233 1
< 0.1%
232 1
< 0.1%
229 1
< 0.1%
Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기초-생계급여수급
4104 
<NA>
3669 
활동지원인력
1168 
F
573 
장애수당
 
236
Other values (9)
 
250

Length

Max length10
Median length9
Mean length6.2275
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기초-생계급여수급
2nd row기초-생계급여수급
3rd row활동지원인력
4th row기초-생계급여수급
5th row기초-생계급여수급

Common Values

ValueCountFrequency (%)
기초-생계급여수급 4104
41.0%
<NA> 3669
36.7%
활동지원인력 1168
 
11.7%
F 573
 
5.7%
장애수당 236
 
2.4%
기초- 주거급여수급 69
 
0.7%
기초-교육급여수급 66
 
0.7%
기초-일반수급자 53
 
0.5%
장애아동수당 29
 
0.3%
기초-조건부수급자 21
 
0.2%
Other values (4) 12
 
0.1%

Length

2023-12-13T03:32:09.462451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기초-생계급여수급 4104
40.8%
na 3669
36.4%
활동지원인력 1168
 
11.6%
f 573
 
5.7%
장애수당 236
 
2.3%
기초 69
 
0.7%
주거급여수급 69
 
0.7%
기초-교육급여수급 66
 
0.7%
기초-일반수급자 53
 
0.5%
장애아동수당 29
 
0.3%
Other values (5) 33
 
0.3%

대상유형 (K002) 상세(TARGET_TYPE_SUB)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

우편번호(ZIP_NO)
Real number (ℝ)

Distinct2006
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35438.911
Minimum1026
Maximum636822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:09.613139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1026
5-th percentile3596.3
Q116409
median35428
Q354048
95-th percentile61686
Maximum636822
Range635796
Interquartile range (IQR)37639

Descriptive statistics

Standard deviation30480.78
Coefficient of variation (CV)0.86009359
Kurtosis152.53055
Mean35438.911
Median Absolute Deviation (MAD)18900
Skewness9.3627273
Sum3.5438911 × 108
Variance9.2907796 × 108
MonotonicityNot monotonic
2023-12-13T03:32:09.757307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41528 216
 
2.2%
54570 151
 
1.5%
35428 143
 
1.4%
62407 95
 
0.9%
61682 95
 
0.9%
16409 81
 
0.8%
61686 75
 
0.8%
50805 73
 
0.7%
36739 72
 
0.7%
58561 70
 
0.7%
Other values (1996) 8929
89.3%
ValueCountFrequency (%)
1026 4
 
< 0.1%
1044 6
 
0.1%
1056 1
 
< 0.1%
1060 3
 
< 0.1%
1064 2
 
< 0.1%
1076 1
 
< 0.1%
1094 2
 
< 0.1%
1106 1
 
< 0.1%
1111 17
0.2%
1130 1
 
< 0.1%
ValueCountFrequency (%)
636822 7
 
0.1%
403830 1
 
< 0.1%
403828 22
 
0.2%
63324 3
 
< 0.1%
63222 2
 
< 0.1%
62443 1
 
< 0.1%
62434 4
 
< 0.1%
62407 95
0.9%
62405 33
 
0.3%
62385 1
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
6615 
False
3385 
ValueCountFrequency (%)
True 6615
66.1%
False 3385
33.9%
2023-12-13T03:32:09.879921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5439 
False
4561 
ValueCountFrequency (%)
True 5439
54.4%
False 4561
45.6%
2023-12-13T03:32:09.993082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지원금액(SUPPORT_AMT)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88830
Minimum0
Maximum600000
Zeros1137
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:10.096503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100000
median100000
Q3100000
95-th percentile100000
Maximum600000
Range600000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32624.186
Coefficient of variation (CV)0.36726541
Kurtosis10.732459
Mean88830
Median Absolute Deviation (MAD)0
Skewness-1.683646
Sum8.883 × 108
Variance1.0643375 × 109
MonotonicityNot monotonic
2023-12-13T03:32:10.227615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
100000 8852
88.5%
0 1137
 
11.4%
200000 6
 
0.1%
300000 3
 
< 0.1%
600000 1
 
< 0.1%
400000 1
 
< 0.1%
ValueCountFrequency (%)
0 1137
 
11.4%
100000 8852
88.5%
200000 6
 
0.1%
300000 3
 
< 0.1%
400000 1
 
< 0.1%
600000 1
 
< 0.1%
ValueCountFrequency (%)
600000 1
 
< 0.1%
400000 1
 
< 0.1%
300000 3
 
< 0.1%
200000 6
 
0.1%
100000 8852
88.5%
0 1137
 
11.4%

세대주관계(HOUSE_H_RELATION)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4675
Minimum0
Maximum5
Zeros8817
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:10.388805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3035773
Coefficient of variation (CV)2.7884006
Kurtosis4.4558527
Mean0.4675
Median Absolute Deviation (MAD)0
Skewness2.5048635
Sum4675
Variance1.6993137
MonotonicityNot monotonic
2023-12-13T03:32:10.520580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8817
88.2%
4 886
 
8.9%
5 178
 
1.8%
2 56
 
0.6%
3 33
 
0.3%
1 30
 
0.3%
ValueCountFrequency (%)
0 8817
88.2%
1 30
 
0.3%
2 56
 
0.6%
3 33
 
0.3%
4 886
 
8.9%
5 178
 
1.8%
ValueCountFrequency (%)
5 178
 
1.8%
4 886
 
8.9%
3 33
 
0.3%
2 56
 
0.6%
1 30
 
0.3%
0 8817
88.2%

발급구분(K012)(ISS_GB)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신규
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신규
2nd row신규
3rd row신규
4th row신규
5th row신규

Common Values

ValueCountFrequency (%)
신규 10000
100.0%

Length

2023-12-13T03:32:10.728097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:10.864903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 10000
100.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
선정
9691 
탈락
 
289
선정중
 
20

Length

Max length3
Median length2
Mean length2.002
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row선정
2nd row선정
3rd row선정
4th row선정
5th row선정

Common Values

ValueCountFrequency (%)
선정 9691
96.9%
탈락 289
 
2.9%
선정중 20
 
0.2%

Length

2023-12-13T03:32:11.005462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:11.147267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선정 9691
96.9%
탈락 289
 
2.9%
선정중 20
 
0.2%

대상선정일자(TARGET_SEL_DT)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.3%
Missing301
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean20166718
Minimum20160704
Maximum20180219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:11.303179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160704
5-th percentile20160801
Q120160822
median20170302
Q320170307
95-th percentile20170522
Maximum20180219
Range19515
Interquartile range (IQR)9485

Descriptive statistics

Standard deviation4703.4672
Coefficient of variation (CV)0.00023322918
Kurtosis-1.5422057
Mean20166718
Median Absolute Deviation (MAD)5
Skewness-0.37156637
Sum1.95597 × 1011
Variance22122604
MonotonicityNot monotonic
2023-12-13T03:32:11.509547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20170307 3124
31.2%
20170302 2006
20.1%
20170522 783
 
7.8%
20160801 660
 
6.6%
20160805 602
 
6.0%
20160902 545
 
5.5%
20160822 507
 
5.1%
20160810 409
 
4.1%
20161015 316
 
3.2%
20160826 302
 
3.0%
Other values (15) 445
 
4.5%
(Missing) 301
 
3.0%
ValueCountFrequency (%)
20160704 64
 
0.6%
20160711 55
 
0.5%
20160725 189
 
1.9%
20160801 660
6.6%
20160805 602
6.0%
20160810 409
4.1%
20160822 507
5.1%
20160826 302
3.0%
20160902 545
5.5%
20160907 20
 
0.2%
ValueCountFrequency (%)
20180219 43
 
0.4%
20171010 2
 
< 0.1%
20170522 783
 
7.8%
20170307 3124
31.2%
20170302 2006
20.1%
20170224 1
 
< 0.1%
20170210 1
 
< 0.1%
20170124 2
 
< 0.1%
20161015 316
 
3.2%
20161004 12
 
0.1%

대리여부(AGENT_YN)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9795 
True
 
205
ValueCountFrequency (%)
False 9795
98.0%
True 205
 
2.1%
2023-12-13T03:32:11.678536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing3669
Missing (%)36.7%
Memory size97.7 KiB
True
4108 
False
2223 
(Missing)
3669 
ValueCountFrequency (%)
True 4108
41.1%
False 2223
22.2%
(Missing) 3669
36.7%
2023-12-13T03:32:11.801946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신청인
7647 
가족
1183 
담당자
1170 

Length

Max length3
Median length3
Mean length2.8817
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신청인
2nd row신청인
3rd row담당자
4th row신청인
5th row신청인

Common Values

ValueCountFrequency (%)
신청인 7647
76.5%
가족 1183
 
11.8%
담당자 1170
 
11.7%

Length

2023-12-13T03:32:11.964880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:12.107153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신청인 7647
76.5%
가족 1183
 
11.8%
담당자 1170
 
11.7%
Distinct267
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.4348
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:12.271700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median17
Q339
95-th percentile106
Maximum355
Range354
Interquartile range (IQR)38

Descriptive statistics

Standard deviation40.717936
Coefficient of variation (CV)1.3833264
Kurtosis12.206221
Mean29.4348
Median Absolute Deviation (MAD)16
Skewness2.9656716
Sum294348
Variance1657.9503
MonotonicityNot monotonic
2023-12-13T03:32:12.873084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2685
26.9%
4 173
 
1.7%
5 166
 
1.7%
9 158
 
1.6%
8 154
 
1.5%
7 153
 
1.5%
10 152
 
1.5%
15 152
 
1.5%
3 151
 
1.5%
14 149
 
1.5%
Other values (257) 5907
59.1%
ValueCountFrequency (%)
1 2685
26.9%
2 135
 
1.4%
3 151
 
1.5%
4 173
 
1.7%
5 166
 
1.7%
6 147
 
1.5%
7 153
 
1.5%
8 154
 
1.5%
9 158
 
1.6%
10 152
 
1.5%
ValueCountFrequency (%)
355 1
< 0.1%
354 1
< 0.1%
353 1
< 0.1%
341 1
< 0.1%
340 1
< 0.1%
339 1
< 0.1%
338 1
< 0.1%
336 1
< 0.1%
332 1
< 0.1%
326 1
< 0.1%

가족순번(FAMILY_SEQ)
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2248
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:13.045597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71799479
Coefficient of variation (CV)0.5862139
Kurtosis17.501609
Mean1.2248
Median Absolute Deviation (MAD)0
Skewness3.9019035
Sum12248
Variance0.51551651
MonotonicityNot monotonic
2023-12-13T03:32:13.199220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8817
88.2%
2 554
 
5.5%
3 345
 
3.5%
4 170
 
1.7%
5 85
 
0.9%
6 23
 
0.2%
7 5
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
1 8817
88.2%
2 554
 
5.5%
3 345
 
3.5%
4 170
 
1.7%
5 85
 
0.9%
6 23
 
0.2%
7 5
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 5
 
0.1%
6 23
 
0.2%
5 85
 
0.9%
4 170
 
1.7%
3 345
 
3.5%
2 554
 
5.5%
1 8817
88.2%
Distinct1936
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-09-07 11:48:37
Maximum2018-02-07 15:29:44
2023-12-13T03:32:13.379829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:13.552958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct628
Distinct (%)9.9%
Missing3669
Missing (%)36.7%
Memory size156.2 KiB
Minimum2016-09-21 17:41:36
Maximum2018-04-17 16:18:26
2023-12-13T03:32:13.720911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:13.898211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing3669
Missing (%)36.7%
Memory size97.7 KiB
False
6254 
True
 
77
(Missing)
3669 
ValueCountFrequency (%)
False 6254
62.5%
True 77
 
0.8%
(Missing) 3669
36.7%
2023-12-13T03:32:14.047581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위임장 제출 여부(ENTRUST_SEND_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing3669
Missing (%)36.7%
Memory size97.7 KiB
True
6331 
(Missing)
3669 
ValueCountFrequency (%)
True 6331
63.3%
(Missing) 3669
36.7%
2023-12-13T03:32:14.168334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9991 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 9991
99.9%
1 9
 
0.1%

Length

2023-12-13T03:32:14.292545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:14.398934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9991
99.9%
1 9
 
0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:14.475543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:14.551737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:14.623438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:14.710865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5206 
True
4794 
ValueCountFrequency (%)
False 5206
52.1%
True 4794
47.9%
2023-12-13T03:32:14.811983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-13T03:32:14.905408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7872 
True
2128 
ValueCountFrequency (%)
False 7872
78.7%
True 2128
 
21.3%
2023-12-13T03:32:14.989234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지불제재여부(PAY_PENALTY_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing2541
Missing (%)25.4%
Memory size97.7 KiB
True
7459 
(Missing)
2541 
ValueCountFrequency (%)
True 7459
74.6%
(Missing) 2541
 
25.4%
2023-12-13T03:32:15.085293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
비합산
9968 
합산
 
32

Length

Max length3
Median length3
Mean length2.9968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비합산
2nd row비합산
3rd row비합산
4th row비합산
5th row비합산

Common Values

ValueCountFrequency (%)
비합산 9968
99.7%
합산 32
 
0.3%

Length

2023-12-13T03:32:15.194459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:15.294380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비합산 9968
99.7%
합산 32
 
0.3%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2017
5081 
2016
4565 
<NA>
 
311
2018
 
43

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 5081
50.8%
2016 4565
45.6%
<NA> 311
 
3.1%
2018 43
 
0.4%

Length

2023-12-13T03:32:15.401600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:15.505002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 5081
50.8%
2016 4565
45.6%
na 311
 
3.1%
2018 43
 
0.4%

이월금액(PREV_AMT)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8361.67
Minimum0
Maximum100000
Zeros9160
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:15.605250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100000
Maximum100000
Range100000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27667.669
Coefficient of variation (CV)3.3088689
Kurtosis7.058675
Mean8361.67
Median Absolute Deviation (MAD)0
Skewness3.0091697
Sum83616700
Variance7.6549993 × 108
MonotonicityNot monotonic
2023-12-13T03:32:15.704328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9160
91.6%
100000 834
 
8.3%
9000 2
 
< 0.1%
27200 1
 
< 0.1%
82500 1
 
< 0.1%
74000 1
 
< 0.1%
15000 1
 
< 0.1%
ValueCountFrequency (%)
0 9160
91.6%
9000 2
 
< 0.1%
15000 1
 
< 0.1%
27200 1
 
< 0.1%
74000 1
 
< 0.1%
82500 1
 
< 0.1%
100000 834
 
8.3%
ValueCountFrequency (%)
100000 834
 
8.3%
82500 1
 
< 0.1%
74000 1
 
< 0.1%
27200 1
 
< 0.1%
15000 1
 
< 0.1%
9000 2
 
< 0.1%
0 9160
91.6%

방문신청 시설(VIS_FAC)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9985 
15
 
12
18
 
3

Length

Max length4
Median length4
Mean length3.997
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9985
99.9%
15 12
 
0.1%
18 3
 
< 0.1%

Length

2023-12-13T03:32:15.845760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:15.960814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9985
99.9%
15 12
 
0.1%
18 3
 
< 0.1%
Distinct200
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T03:32:16.331930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.1357
Min length7

Characters and Unicode

Total characters81357
Distinct characters129
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row광주광역시 동구
2nd row충청남도 공주시
3rd row경기도 고양시
4th row충청남도 천안시
5th row강원도 원주시
ValueCountFrequency (%)
서울특별시 1489
 
7.4%
경기도 1263
 
6.3%
광주광역시 934
 
4.7%
전라북도 919
 
4.6%
경상북도 919
 
4.6%
대구광역시 720
 
3.6%
전라남도 628
 
3.1%
충청북도 555
 
2.8%
대전광역시 546
 
2.7%
서구 514
 
2.6%
Other values (187) 11507
57.6%
2023-12-13T03:32:17.093780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9994
 
12.3%
8319
 
10.2%
5675
 
7.0%
5287
 
6.5%
4151
 
5.1%
2982
 
3.7%
2889
 
3.6%
2739
 
3.4%
2460
 
3.0%
2315
 
2.8%
Other values (119) 34546
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71285
87.6%
Space Separator 9994
 
12.3%
Close Punctuation 39
 
< 0.1%
Open Punctuation 39
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8319
 
11.7%
5675
 
8.0%
5287
 
7.4%
4151
 
5.8%
2982
 
4.2%
2889
 
4.1%
2739
 
3.8%
2460
 
3.5%
2315
 
3.2%
2212
 
3.1%
Other values (116) 32256
45.2%
Space Separator
ValueCountFrequency (%)
9994
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71285
87.6%
Common 10072
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8319
 
11.7%
5675
 
8.0%
5287
 
7.4%
4151
 
5.8%
2982
 
4.2%
2889
 
4.1%
2739
 
3.8%
2460
 
3.5%
2315
 
3.2%
2212
 
3.1%
Other values (116) 32256
45.2%
Common
ValueCountFrequency (%)
9994
99.2%
) 39
 
0.4%
( 39
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71285
87.6%
ASCII 10072
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9994
99.2%
) 39
 
0.4%
( 39
 
0.4%
Hangul
ValueCountFrequency (%)
8319
 
11.7%
5675
 
8.0%
5287
 
7.4%
4151
 
5.8%
2982
 
4.2%
2889
 
4.1%
2739
 
3.8%
2460
 
3.5%
2315
 
3.2%
2212
 
3.1%
Other values (116) 32256
45.2%

이월여부(PREV_YN)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9167 
True
 
833
ValueCountFrequency (%)
False 9167
91.7%
True 833
 
8.3%
2023-12-13T03:32:17.260183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정보발신여부(INFO_FLAG)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

신청이력 순위정보(1~6위)(REQ_HIST_RANK)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

대상유형 순위정보(1~22위)(REQ_TYPE_RANK)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

사용실적률(백분률)(REQ_USE_RATE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

작년탈락여부(생애첫신청)(LAST_YEAR_DROP_YN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

카드거래내역 이용 동의(CARD_APVL_AGREE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Missing10000
Missing (%)100.0%
Memory size166.0 KiB

사업년도(BIZ_YEAR).5
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.5%
Missing8860
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean2019.6482
Minimum2016
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:32:17.379438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2017
Q12019
median2020
Q32021
95-th percentile2021
Maximum2021
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4406449
Coefficient of variation (CV)0.00071331478
Kurtosis-0.85848028
Mean2019.6482
Median Absolute Deviation (MAD)1
Skewness-0.70207528
Sum2302399
Variance2.0754579
MonotonicityNot monotonic
2023-12-13T03:32:17.518847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2021 462
 
4.6%
2020 244
 
2.4%
2019 162
 
1.6%
2017 149
 
1.5%
2018 119
 
1.2%
2016 4
 
< 0.1%
(Missing) 8860
88.6%
ValueCountFrequency (%)
2016 4
 
< 0.1%
2017 149
 
1.5%
2018 119
 
1.2%
2019 162
 
1.6%
2020 244
2.4%
2021 462
4.6%
ValueCountFrequency (%)
2021 462
4.6%
2020 244
2.4%
2019 162
 
1.6%
2018 119
 
1.2%
2017 149
 
1.5%
2016 4
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8860 
1
1140 

Length

Max length4
Median length4
Mean length3.658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8860
88.6%
1 1140
 
11.4%

Length

2023-12-13T03:32:17.680412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:17.819444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8860
88.6%
1 1140
 
11.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8860 
1
1140 

Length

Max length4
Median length4
Mean length3.658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8860
88.6%
1 1140
 
11.4%

Length

2023-12-13T03:32:17.986430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:18.106791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8860
88.6%
1 1140
 
11.4%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8860 
부모
 
665
기타
 
203
친족
 
143
청소년보호사,상담사,청소년기관지도사,학교장 등
 
77
Other values (3)
 
52

Length

Max length25
Median length4
Mean length3.9587
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8860
88.6%
부모 665
 
6.7%
기타 203
 
2.0%
친족 143
 
1.4%
청소년보호사,상담사,청소년기관지도사,학교장 등 77
 
0.8%
배우자 35
 
0.4%
장애인 보호자 11
 
0.1%
후견인 6
 
0.1%

Length

2023-12-13T03:32:18.251475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:18.401727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8860
87.8%
부모 665
 
6.6%
기타 203
 
2.0%
친족 143
 
1.4%
청소년보호사,상담사,청소년기관지도사,학교장 77
 
0.8%
77
 
0.8%
배우자 35
 
0.3%
장애인 11
 
0.1%
보호자 11
 
0.1%
후견인 6
 
0.1%
Distinct2
Distinct (%)0.2%
Missing8860
Missing (%)88.6%
Memory size97.7 KiB
True
 
812
False
 
328
(Missing)
8860 
ValueCountFrequency (%)
True 812
 
8.1%
False 328
 
3.3%
(Missing) 8860
88.6%
2023-12-13T03:32:18.542851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1140
Distinct (%)100.0%
Missing8860
Missing (%)88.6%
Memory size156.2 KiB
Minimum2016-09-27 11:02:11
Maximum2021-02-15 15:12:08
2023-12-13T03:32:18.698385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:18.902287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1140
Distinct (%)100.0%
Missing8860
Missing (%)88.6%
Memory size156.2 KiB
Minimum2016-09-27 11:02:11
Maximum2021-02-15 15:12:08
2023-12-13T03:32:19.103474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:19.311110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

사업년도(BIZ_YEAR)사업회차(BIZ_NO)제공자시설 고유코드(USE_FACILITY_CD)기초수급자수(BASE_RCPT_CNT)장애수급자수(DSBT_RCPT_CNT)차상위수(UN_RCPT_CNT)담당자수(CHARGER_RCPT_CNT)남성수(MALE_CNT)여성수(FEMALE_CNT)성인수(ADULT_CNT)미성년자수(MINOR_CNT)총인원(TOTAL_CNT)숙박구분 (K010)(STAY_FLAG)1순위시작일(FIRST_START_DT)1순위종료일(FIRST_END_DT)2순위시작일(SECOND_START_DT)2순위종료일(SECOND_END_DT)3순위시작일(THIRD_START_DT)3순위종료일(THIRD_END_DT)위약금지불동의서(PENALTY_AGREE)사진활용동의서(PHOTO_AGREE)등록일자(INPUT_DT)수정일자(UPDATE_DT)거동제한자(WEAK_CNT)장애인연금수급자(DISB_PENS_CNT)사업년도(BIZ_YEAR).1사업번호(BIZ_NO)신청일자(REQ_DT)신청상태 (K005)(REQ_STS)기관개인구분 (K004)(ORG_PER_GB)개인정보수집동의(AGREE_CHECK_1)처리아이디(APRV_ID)처리일자(APRV_DT)개인식별번호수집동의(AGREE_CHECK_2)제3자정보제공동의(AGREE_CHECK_3)등록일자(INPUT_DT).1수정일자(UPDATE_DT).1합산여부(BALANCE_YN)사용실적률, 신청서 내 가장 비율이 높은 실적률을 취해 반영(REQ_USE_RATE_M)신청이력비율, 신청서 내 가장 많은 이력순위의 비율(REQ_HIST_RATE)대상유형비율, 신청서 내 가장 많은 대상유형의 비율(REQ_TYPE_RATE)신청서 내 생애첫신청의 작년탈락자 다수여부(LAST_YEAR_DROP_YN)합산자 수신동의(BALANCE_SMS_FLAG)등록사이트구분 (KFWI:산림복지, G24:정부24) 2020.10.23(SITE_ORIGIN)타사이트추적PK 2020.10.23(SITE_TRACENO)문자서비스수신동의(SMS_FLAG)전자우편수신동의(EMAIL_FLAG)등록일자(INPUT_DT).2수정일자(UPDATE_DT).2사업년도(BIZ_YEAR).2사업번호(BIZ_NO).1사업년도(BIZ_YEAR).3사업회차(BIZ_NO).1신청일자(REQ_DT).1개인/시설 구분(ORG_PER_GB)승인일자(APRV_DT)주소지역(ADDR)신청서인원(TOTAL_CNT)신청인원(REQ_CNT)초기인원(PRE_CNT)총지원금(TOTAL_AMT)선정여부(REQ_STS)사업년도(BIZ_YEAR).4사업번호(BIZ_NO).2일련번호(SEQ)대상유형 (K002)(TARGET_TYPE)대상유형 (K002) 상세(TARGET_TYPE_SUB)우편번호(ZIP_NO)문자서비스수신동의(SMS_FLAG).1전자우편수신동의(EMAIL_FLAG).1지원금액(SUPPORT_AMT)세대주관계(HOUSE_H_RELATION)발급구분(K012)(ISS_GB)대상선정여부 (K006)(TARGET_SEL_YN)대상선정일자(TARGET_SEL_DT)대리여부(AGENT_YN)신분증 사본 제출여부(PRIVACY_SEND_YN)신청인구분(신청인,담당자,가족)(REQ_USER_TYPE)신청인순번(USER_REQ_SEQ)가족순번(FAMILY_SEQ)등록일자(INPUT_DT).3수정일자(UPDATE_DT).3가족증명서 사본 제출여부(FAMILY_SEND_YN)위임장 제출 여부(ENTRUST_SEND_YN)내외국인 구분(1:외국인, 2:내국인)(FOREIGN_TYPE)개인정보수집이용 15조 동의(PRIVATE_USE15_AGREE)개인정보수집이용 24조 동의(PRIVATE_USE24_AGREE)개인정보 제3자 제공 동의(PRIVATE_OFFER_AGREE)행정정보 공동이용 동의(ADMIN_INFO_USE_AGREE)세대주 검증 구분(RIGHT_GB)고객만족도 조사여부(SATISFACTION_YN)세대주 검증여부(HH_GB)지불제재여부(PAY_PENALTY_YN)개별 합산여부(BALANCE_SEL_YN)이월예산년도(PREV_BIZ_YEAR)이월금액(PREV_AMT)방문신청 시설(VIS_FAC)지역코드(AREA_CD)이월여부(PREV_YN)정보발신여부(INFO_FLAG)신청이력 순위정보(1~6위)(REQ_HIST_RANK)대상유형 순위정보(1~22위)(REQ_TYPE_RANK)사용실적률(백분률)(REQ_USE_RATE)작년탈락여부(생애첫신청)(LAST_YEAR_DROP_YN)카드거래내역 이용 동의(CARD_APVL_AGREE)대상유형(기초생활수급자, 생계/의료/주거/교육)(TARGET_TYPE_BASE)사업년도(BIZ_YEAR).5사업번호(BIZ_NO).3일련번호(SEQ).1대리인관계 (K003)(AGENT_RELATION)문자서비스수신동의(AGENT_SMS_FLAG)등록일자(INPUT_DT).4수정일자(UPDATE_DT).4
22119<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200204발급선정개인YRD_finecpn1720200306YY2020-02-04 14:11:24.02020-03-09 17:33:14.0N0100100NNKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017155기초-생계급여수급<NA>61461YY1000000신규선정20170307NY신청인5712017-03-03 17:51:12.02017-03-07 18:07:28.0NY2YYYYYYNY비합산20170<NA>광주광역시 동구N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17590<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190130접수완료개인Y<NA><NA>YY2019-01-25 18:29:06.02019-01-30 11:20:02.0Y<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017146기초-생계급여수급<NA>32623NY1000000신규선정20170307NY신청인4612017-03-03 17:28:08.02017-03-07 18:08:59.0NY2YYYYYYNY비합산20170<NA>충청남도 공주시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23802<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200203발급선정개인YRD_finecpn1720200306YY2020-02-03 20:39:55.02020-03-09 17:33:14.0Y0100100NYKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20171120활동지원인력<NA>10245YY1000000신규선정20170307NY담당자12112017-02-27 17:37:57.02017-03-07 18:14:06.0NY2YYYYNYNY비합산20170<NA>경기도 고양시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21216<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200204발급선정개인YRD_finecpn1720200306YY2020-02-04 01:56:57.02020-03-09 17:33:14.0N0100100NNKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017120기초-생계급여수급<NA>31033YN1000000신규선정20170522NY신청인2212017-05-17 11:35:35.02017-05-22 13:13:40.0NY2YYYYYYNY비합산20170<NA>충청남도 천안시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190313이월등록시설Yadmin0520190313YY2019-03-13 20:11:10.02019-03-13 20:21:50.0N0<NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017113기초-생계급여수급<NA>26455YY1000000신규선정20170522NY신청인1312017-05-16 11:43:31.02017-05-22 13:14:30.0NY2YYYYYYNY비합산20170<NA>강원도 원주시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22038<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200205발급선정개인YRD_finecpn1720200306YY2020-02-05 11:37:30.02020-03-09 17:33:14.0N0100100YNKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017116기초-생계급여수급<NA>29135NY1000000신규선정20170307NY신청인2112017-03-03 18:17:21.02017-03-07 18:09:39.0NY2YYYYYYNY비합산20170<NA>충청북도 영동군N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9535<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120181226발급선정개인Yadmin0120190305YY2018-12-25 13:13:20.02019-03-05 15:26:38.0N100<NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA>2019120190123개인<NA>서울특별시110100000선정2016151<NA><NA>54535NN1000000신규선정20160704N<NA>신청인5112016-11-08 16:24:40.0<NA><NA><NA>2YYYYNYNY비합산20160<NA>전라북도 익산시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10849<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2018120180105발급선정시설Yadmin0220180131YY2018-01-04 16:16:54.02018-02-13 10:18:19.0N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017193활동지원인력<NA>61682YN00신규선정20170307NY담당자11312017-03-06 17:47:42.02017-03-07 18:11:40.0NY2YYYYNYNY비합산2016100000<NA>광주광역시 남구Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19400<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190130접수완료개인Y<NA><NA>YY2019-01-29 22:18:47.02019-01-30 22:48:17.0N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201712F<NA>3303YY1000002신규선정20170302NN가족122017-02-25 18:16:08.02017-03-02 16:46:59.0NY2YYYYYYY<NA>비합산20170<NA>서울특별시 은평구N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21189<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200204미선정개인Yhsyoung9620200221YY2020-02-04 20:48:05.02020-02-21 10:11:17.0N100100100NNKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201711기초-생계급여수급<NA>12549YN1000000신규선정20170302NN신청인112017-02-24 17:26:50.02017-03-02 16:46:56.0NY2YYYYYYN<NA>비합산20170<NA>경기도 양평군N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
사업년도(BIZ_YEAR)사업회차(BIZ_NO)제공자시설 고유코드(USE_FACILITY_CD)기초수급자수(BASE_RCPT_CNT)장애수급자수(DSBT_RCPT_CNT)차상위수(UN_RCPT_CNT)담당자수(CHARGER_RCPT_CNT)남성수(MALE_CNT)여성수(FEMALE_CNT)성인수(ADULT_CNT)미성년자수(MINOR_CNT)총인원(TOTAL_CNT)숙박구분 (K010)(STAY_FLAG)1순위시작일(FIRST_START_DT)1순위종료일(FIRST_END_DT)2순위시작일(SECOND_START_DT)2순위종료일(SECOND_END_DT)3순위시작일(THIRD_START_DT)3순위종료일(THIRD_END_DT)위약금지불동의서(PENALTY_AGREE)사진활용동의서(PHOTO_AGREE)등록일자(INPUT_DT)수정일자(UPDATE_DT)거동제한자(WEAK_CNT)장애인연금수급자(DISB_PENS_CNT)사업년도(BIZ_YEAR).1사업번호(BIZ_NO)신청일자(REQ_DT)신청상태 (K005)(REQ_STS)기관개인구분 (K004)(ORG_PER_GB)개인정보수집동의(AGREE_CHECK_1)처리아이디(APRV_ID)처리일자(APRV_DT)개인식별번호수집동의(AGREE_CHECK_2)제3자정보제공동의(AGREE_CHECK_3)등록일자(INPUT_DT).1수정일자(UPDATE_DT).1합산여부(BALANCE_YN)사용실적률, 신청서 내 가장 비율이 높은 실적률을 취해 반영(REQ_USE_RATE_M)신청이력비율, 신청서 내 가장 많은 이력순위의 비율(REQ_HIST_RATE)대상유형비율, 신청서 내 가장 많은 대상유형의 비율(REQ_TYPE_RATE)신청서 내 생애첫신청의 작년탈락자 다수여부(LAST_YEAR_DROP_YN)합산자 수신동의(BALANCE_SMS_FLAG)등록사이트구분 (KFWI:산림복지, G24:정부24) 2020.10.23(SITE_ORIGIN)타사이트추적PK 2020.10.23(SITE_TRACENO)문자서비스수신동의(SMS_FLAG)전자우편수신동의(EMAIL_FLAG)등록일자(INPUT_DT).2수정일자(UPDATE_DT).2사업년도(BIZ_YEAR).2사업번호(BIZ_NO).1사업년도(BIZ_YEAR).3사업회차(BIZ_NO).1신청일자(REQ_DT).1개인/시설 구분(ORG_PER_GB)승인일자(APRV_DT)주소지역(ADDR)신청서인원(TOTAL_CNT)신청인원(REQ_CNT)초기인원(PRE_CNT)총지원금(TOTAL_AMT)선정여부(REQ_STS)사업년도(BIZ_YEAR).4사업번호(BIZ_NO).2일련번호(SEQ)대상유형 (K002)(TARGET_TYPE)대상유형 (K002) 상세(TARGET_TYPE_SUB)우편번호(ZIP_NO)문자서비스수신동의(SMS_FLAG).1전자우편수신동의(EMAIL_FLAG).1지원금액(SUPPORT_AMT)세대주관계(HOUSE_H_RELATION)발급구분(K012)(ISS_GB)대상선정여부 (K006)(TARGET_SEL_YN)대상선정일자(TARGET_SEL_DT)대리여부(AGENT_YN)신분증 사본 제출여부(PRIVACY_SEND_YN)신청인구분(신청인,담당자,가족)(REQ_USER_TYPE)신청인순번(USER_REQ_SEQ)가족순번(FAMILY_SEQ)등록일자(INPUT_DT).3수정일자(UPDATE_DT).3가족증명서 사본 제출여부(FAMILY_SEND_YN)위임장 제출 여부(ENTRUST_SEND_YN)내외국인 구분(1:외국인, 2:내국인)(FOREIGN_TYPE)개인정보수집이용 15조 동의(PRIVATE_USE15_AGREE)개인정보수집이용 24조 동의(PRIVATE_USE24_AGREE)개인정보 제3자 제공 동의(PRIVATE_OFFER_AGREE)행정정보 공동이용 동의(ADMIN_INFO_USE_AGREE)세대주 검증 구분(RIGHT_GB)고객만족도 조사여부(SATISFACTION_YN)세대주 검증여부(HH_GB)지불제재여부(PAY_PENALTY_YN)개별 합산여부(BALANCE_SEL_YN)이월예산년도(PREV_BIZ_YEAR)이월금액(PREV_AMT)방문신청 시설(VIS_FAC)지역코드(AREA_CD)이월여부(PREV_YN)정보발신여부(INFO_FLAG)신청이력 순위정보(1~6위)(REQ_HIST_RANK)대상유형 순위정보(1~22위)(REQ_TYPE_RANK)사용실적률(백분률)(REQ_USE_RATE)작년탈락여부(생애첫신청)(LAST_YEAR_DROP_YN)카드거래내역 이용 동의(CARD_APVL_AGREE)대상유형(기초생활수급자, 생계/의료/주거/교육)(TARGET_TYPE_BASE)사업년도(BIZ_YEAR).5사업번호(BIZ_NO).3일련번호(SEQ).1대리인관계 (K003)(AGENT_RELATION)문자서비스수신동의(AGENT_SMS_FLAG)등록일자(INPUT_DT).4수정일자(UPDATE_DT).4
15190<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190129접수완료개인Y<NA><NA>YY2019-01-25 14:45:29.02019-01-29 17:21:09.0Y<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201713활동지원인력<NA>62207YY00신규선정20170307NY담당자312017-02-17 14:45:34.02017-03-07 18:12:31.0NY2YYYYNYNY비합산2016100000<NA>광주광역시 광산구Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200205미선정개인Ythdus570120200222YY2020-02-05 11:35:07.02020-02-22 12:34:41.0N77100100NNKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017137활동지원인력<NA>57128YY00신규선정20170307NY담당자3912017-02-23 15:01:02.02017-03-07 18:09:16.0NY2YYYYNYNY비합산2016100000<NA>전라남도 함평군Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15859<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190107접수완료개인Y<NA><NA>YY2019-01-07 10:20:09.0<NA>N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017149기초-생계급여수급<NA>59025YN1000000신규선정20170307NY신청인5012017-02-02 18:23:37.02017-03-07 18:10:46.0NY2YYYYYYNY비합산20170<NA>전라남도 해남군N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19396<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190131발급선정개인Yadmin0120190305YY2019-01-28 21:13:43.02019-03-05 15:16:58.0N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201711기초-생계급여수급<NA>24904YN1000000신규선정20170302NN신청인112017-02-27 14:55:39.02017-03-02 16:46:42.0NY2YYYYYYN<NA>비합산20170<NA>강원도 속초시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11160<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2018120180131발급선정개인Yadmin0220180131YY2018-01-30 10:57:51.02018-02-13 10:18:19.0N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201711기초-생계급여수급<NA>37630YN1000000신규선정20170302NN신청인112017-01-25 10:19:04.02017-03-02 16:51:41.0NY2YYYYYYY<NA>비합산20170<NA>경상북도 포항시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19713<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190128접수완료개인Y<NA><NA>YY2019-01-27 23:31:40.02019-01-28 13:49:38.0N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017113기초-생계급여수급<NA>7519YN1000000신규선정20170307NY신청인1312017-02-28 11:10:50.02017-03-07 18:08:38.0NY2YYYYYYNY비합산20170<NA>서울특별시 강서구N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12994<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190109접수완료개인Y<NA><NA>YY2019-01-08 17:38:55.0<NA>N<NA><NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201713F<NA>42956NY1000004신규선정20170302NN가족132017-01-24 20:51:41.02017-03-02 16:51:39.0NY2YYYYYYY<NA>비합산20170<NA>대구광역시 달성군N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15048<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019120190115접수완료개인Yadmin0520190313YY2019-01-15 11:49:29.02019-03-13 19:37:30.0N0<NA><NA><NA><NA>KFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017172기초-생계급여수급<NA>36739YY1000000신규선정20170307NY신청인18012017-02-08 10:18:32.02017-03-07 18:10:06.0NY2YYYYYYNY비합산20170<NA>경상북도 안동시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
255820201670301319827027당일202005082020050820200605202006052020090420200904YY2020-02-25 11:10:27.02020-02-25 18:38:32.00112017120170207발급선정개인Ylim100120170302YY2017-02-07 17:17:32.02017-03-02 16:49:52.0N<NA><NA><NA><NA><NA>KFWI<NA>YY2020-02-26 00:40:58.02020-02-26 10:49:10.0202012019120181220개인<NA>충청남도220200000미선정2016124<NA><NA>7930YN1000000신규선정20160810N<NA>신청인2412016-11-08 16:24:38.0<NA><NA><NA>2YYYYNYNY비합산20160<NA>서울특별시 양천구N<NA><NA><NA><NA><NA><NA><NA>202111부모Y2021-02-03 20:46:01.02021-02-08 10:40:31.0
22980<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120200203발급선정시설YRD_finecpn1720200306YY2020-02-03 12:15:55.02020-03-09 17:33:14.0Y959677NNKFWI<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017114기초-생계급여수급<NA>16409YN1000000신규선정20170307NY신청인1412017-02-28 16:23:57.02017-03-07 18:10:23.0NY2YYYYYYNY비합산20170<NA>경기도 수원시N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>