Overview

Dataset statistics

Number of variables32
Number of observations135
Missing cells1589
Missing cells (%)36.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.4 KiB
Average record size in memory276.0 B

Variable types

Categorical11
Numeric7
Unsupported10
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),민원종류명,자본금의규모,예치기관명,공제계약명,공제계약기타명,보험,채무지급보증
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16150/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
인허가취소일자 has 135 (100.0%) missing valuesMissing
폐업일자 has 135 (100.0%) missing valuesMissing
휴업시작일자 has 135 (100.0%) missing valuesMissing
휴업종료일자 has 135 (100.0%) missing valuesMissing
재개업일자 has 135 (100.0%) missing valuesMissing
전화번호 has 2 (1.5%) missing valuesMissing
소재지면적 has 135 (100.0%) missing valuesMissing
소재지우편번호 has 33 (24.4%) missing valuesMissing
도로명주소 has 20 (14.8%) missing valuesMissing
도로명우편번호 has 135 (100.0%) missing valuesMissing
업태구분명 has 135 (100.0%) missing valuesMissing
좌표정보(X) has 26 (19.3%) missing valuesMissing
좌표정보(Y) has 26 (19.3%) missing valuesMissing
민원종류명 has 135 (100.0%) missing valuesMissing
보험 has 135 (100.0%) missing valuesMissing
채무지급보증 has 132 (97.8%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
민원종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:30:19.818699
Analysis finished2024-05-11 06:30:21.026116
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
6110000
135 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6110000
2nd row6110000
3rd row6110000
4th row6110000
5th row6110000

Common Values

ValueCountFrequency (%)
6110000 135
100.0%

Length

2024-05-11T06:30:21.563147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:21.832464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 135
100.0%

관리번호
Real number (ℝ)

Distinct7
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0116851 × 1019
Minimum2.010611 × 1019
Maximum2.017611 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:22.117902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.010611 × 1019
5-th percentile2.010611 × 1019
Q12.010611 × 1019
median2.011611 × 1019
Q32.011611 × 1019
95-th percentile2.014611 × 1019
Maximum2.017611 × 1019
Range7 × 1016
Interquartile range (IQR)1 × 1016

Descriptive statistics

Standard deviation1.3137029 × 1016
Coefficient of variation (CV)0.00065303607
Kurtosis3.1697355
Mean2.0116851 × 1019
Median Absolute Deviation (MAD)1 × 1016
Skewness1.6657054
Sum2.7157749 × 1021
Variance1.7258154 × 1032
MonotonicityNot monotonic
2024-05-11T06:30:22.506978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.0106110000051e+19 55
40.7%
2.0116110000051e+19 49
36.3%
2.0126110000051e+19 11
 
8.1%
2.0136110000051e+19 11
 
8.1%
2.0146110000051e+19 6
 
4.4%
2.0156110000051e+19 2
 
1.5%
2.0176110000051e+19 1
 
0.7%
ValueCountFrequency (%)
2.0106110000051e+19 55
40.7%
2.0116110000051e+19 49
36.3%
2.0126110000051e+19 11
 
8.1%
2.0136110000051e+19 11
 
8.1%
2.0146110000051e+19 6
 
4.4%
2.0156110000051e+19 2
 
1.5%
2.0176110000051e+19 1
 
0.7%
ValueCountFrequency (%)
2.0176110000051e+19 1
 
0.7%
2.0156110000051e+19 2
 
1.5%
2.0146110000051e+19 6
 
4.4%
2.0136110000051e+19 11
 
8.1%
2.0126110000051e+19 11
 
8.1%
2.0116110000051e+19 49
36.3%
2.0106110000051e+19 55
40.7%

인허가일자
Real number (ℝ)

Distinct81
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111359
Minimum20100505
Maximum20170626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:22.896987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100505
5-th percentile20100929
Q120101024
median20110217
Q320110719
95-th percentile20140365
Maximum20170626
Range70121
Interquartile range (IQR)9694.5

Descriptive statistics

Standard deviation13024.123
Coefficient of variation (CV)0.00064760032
Kurtosis3.3082674
Mean20111359
Median Absolute Deviation (MAD)9189
Skewness1.7186014
Sum2.7150335 × 109
Variance1.6962777 × 108
MonotonicityNot monotonic
2024-05-11T06:30:23.259933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100929 9
 
6.7%
20110315 7
 
5.2%
20101126 5
 
3.7%
20101020 5
 
3.7%
20101005 4
 
3.0%
20110317 4
 
3.0%
20101001 4
 
3.0%
20101012 3
 
2.2%
20101102 3
 
2.2%
20110314 3
 
2.2%
Other values (71) 88
65.2%
ValueCountFrequency (%)
20100505 1
 
0.7%
20100929 9
6.7%
20101001 4
3.0%
20101005 4
3.0%
20101007 1
 
0.7%
20101011 2
 
1.5%
20101012 3
 
2.2%
20101013 2
 
1.5%
20101015 2
 
1.5%
20101020 5
3.7%
ValueCountFrequency (%)
20170626 1
0.7%
20150326 1
0.7%
20150318 1
0.7%
20140619 1
0.7%
20140529 1
0.7%
20140520 1
0.7%
20140508 1
0.7%
20140304 1
0.7%
20140102 1
0.7%
20131231 1
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
74 
3
31 
4
30 

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 74
54.8%
3 31
23.0%
4 30
22.2%

Length

2024-05-11T06:30:23.658565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:23.988197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
54.8%
3 31
23.0%
4 30
22.2%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
74 
폐업
31 
취소/말소/만료/정지/중지
30 

Length

Max length14
Median length5
Mean length6.3111111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 74
54.8%
폐업 31
23.0%
취소/말소/만료/정지/중지 30
22.2%

Length

2024-05-11T06:30:24.335380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:24.571918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 74
54.8%
폐업 31
23.0%
취소/말소/만료/정지/중지 30
22.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
70 
3
31 
7
28 
9
 
4
8
 
2

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 70
51.9%
3 31
23.0%
7 28
 
20.7%
9 4
 
3.0%
8 2
 
1.5%

Length

2024-05-11T06:30:24.897518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:25.230061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
51.9%
3 31
23.0%
7 28
 
20.7%
9 4
 
3.0%
8 2
 
1.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
70 
폐업
31 
등록취소
28 
전입
 
4
직권말소
 
2

Length

Max length4
Median length3
Mean length2.962963
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 70
51.9%
폐업 31
23.0%
등록취소 28
 
20.7%
전입 4
 
3.0%
직권말소 2
 
1.5%

Length

2024-05-11T06:30:25.677919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:25.953068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 70
51.9%
폐업 31
23.0%
등록취소 28
 
20.7%
전입 4
 
3.0%
직권말소 2
 
1.5%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)92.5%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean2.0099139 × 108
Minimum23228114
Maximum7.072021 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:26.281574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23228114
5-th percentile23968133
Q127209517
median2.1577197 × 108
Q32.1600457 × 108
95-th percentile2.4599483 × 108
Maximum7.072021 × 109
Range7.0487929 × 109
Interquartile range (IQR)1.8879505 × 108

Descriptive statistics

Standard deviation6.0779814 × 108
Coefficient of variation (CV)3.0240009
Kurtosis126.41774
Mean2.0099139 × 108
Median Absolute Deviation (MAD)6816503
Skewness11.10309
Sum2.6731855 × 1010
Variance3.6941858 × 1017
MonotonicityNot monotonic
2024-05-11T06:30:26.674695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215887979 8
 
5.9%
23365858 2
 
1.5%
215444174 2
 
1.5%
216444491 2
 
1.5%
216613119 1
 
0.7%
25884871 1
 
0.7%
24564743 1
 
0.7%
27920244 1
 
0.7%
25472030 1
 
0.7%
216446250 1
 
0.7%
Other values (113) 113
83.7%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
23228114 1
0.7%
23251321 1
0.7%
23365858 2
1.5%
23384331 1
0.7%
23689117 1
0.7%
23951797 1
0.7%
23979024 1
0.7%
24142131 1
0.7%
24199595 1
0.7%
24249981 1
0.7%
ValueCountFrequency (%)
7072021017 1
0.7%
269252119 1
0.7%
269250175 1
0.7%
264083991 1
0.7%
260828530 1
0.7%
260060600 1
0.7%
260031363 1
0.7%
236637142 1
0.7%
234779900 1
0.7%
234373341 1
0.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)72.5%
Missing33
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean136747.86
Minimum100101
Maximum158718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:27.132461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100101
5-th percentile110894
Q1134030
median135981
Q3150010
95-th percentile155899.05
Maximum158718
Range58617
Interquartile range (IQR)15980

Descriptive statistics

Standard deviation13047.267
Coefficient of variation (CV)0.095411122
Kurtosis1.1602492
Mean136747.86
Median Absolute Deviation (MAD)4460
Skewness-0.82963292
Sum13948282
Variance1.7023118 × 108
MonotonicityNot monotonic
2024-05-11T06:30:27.576774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135981 9
 
6.7%
135010 5
 
3.7%
137060 4
 
3.0%
135080 4
 
3.0%
134030 2
 
1.5%
150736 2
 
1.5%
150708 2
 
1.5%
138160 2
 
1.5%
121250 2
 
1.5%
152050 2
 
1.5%
Other values (64) 68
50.4%
(Missing) 33
24.4%
ValueCountFrequency (%)
100101 1
0.7%
100400 1
0.7%
100710 1
0.7%
100789 1
0.7%
100844 1
0.7%
110410 1
0.7%
120090 1
0.7%
120120 1
0.7%
121090 1
0.7%
121110 2
1.5%
ValueCountFrequency (%)
158718 1
0.7%
158090 1
0.7%
157925 1
0.7%
157040 1
0.7%
157010 1
0.7%
156010 1
0.7%
153791 1
0.7%
152090 1
0.7%
152050 2
1.5%
151890 1
0.7%

지번주소
Text

Distinct99
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T06:30:28.282923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length22.77037
Min length1

Characters and Unicode

Total characters3074
Distinct characters185
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)68.9%

Sample

1st row
2nd row
3rd row서울특별시 광진구 자양동 227번지 336호
4th row서울특별시 강남구 역삼동 역삼하이츠빌딩 2층
5th row서울특별시 강남구 논현동 19-7번지
ValueCountFrequency (%)
서울특별시 103
 
17.9%
강남구 24
 
4.2%
영등포구 15
 
2.6%
역삼동 15
 
2.6%
2층 12
 
2.1%
3층 10
 
1.7%
마포구 9
 
1.6%
여의도동 9
 
1.6%
역삼하이츠빌딩 9
 
1.6%
서초구 8
 
1.4%
Other values (272) 362
62.8%
2024-05-11T06:30:29.774334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
692
22.5%
1 124
 
4.0%
서 119
 
3.9%
동 118
 
3.8%
구 109
 
3.5%
별 104
 
3.4%
울 103
 
3.4%
특 103
 
3.4%
시 103
 
3.4%
2 94
 
3.1%
Other values (175) 1405
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1770
57.6%
Space Separator 692
 
22.5%
Decimal Number 545
 
17.7%
Dash Punctuation 58
 
1.9%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 119
 
6.7%
동 118
 
6.7%
구 109
 
6.2%
별 104
 
5.9%
울 103
 
5.8%
특 103
 
5.8%
시 103
 
5.8%
지 78
 
4.4%
번 72
 
4.1%
호 55
 
3.1%
Other values (156) 806
45.5%
Decimal Number
ValueCountFrequency (%)
1 124
22.8%
2 94
17.2%
5 59
10.8%
3 53
9.7%
0 47
 
8.6%
4 46
 
8.4%
6 37
 
6.8%
9 31
 
5.7%
7 29
 
5.3%
8 25
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
A 1
25.0%
J 1
25.0%
Space Separator
ValueCountFrequency (%)
692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1770
57.6%
Common 1300
42.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 119
 
6.7%
동 118
 
6.7%
구 109
 
6.2%
별 104
 
5.9%
울 103
 
5.8%
특 103
 
5.8%
시 103
 
5.8%
지 78
 
4.4%
번 72
 
4.1%
호 55
 
3.1%
Other values (156) 806
45.5%
Common
ValueCountFrequency (%)
692
53.2%
1 124
 
9.5%
2 94
 
7.2%
5 59
 
4.5%
- 58
 
4.5%
3 53
 
4.1%
0 47
 
3.6%
4 46
 
3.5%
6 37
 
2.8%
9 31
 
2.4%
Other values (5) 59
 
4.5%
Latin
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
A 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1770
57.6%
ASCII 1304
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
692
53.1%
1 124
 
9.5%
2 94
 
7.2%
5 59
 
4.5%
- 58
 
4.4%
3 53
 
4.1%
0 47
 
3.6%
4 46
 
3.5%
6 37
 
2.8%
9 31
 
2.4%
Other values (9) 63
 
4.8%
Hangul
ValueCountFrequency (%)
서 119
 
6.7%
동 118
 
6.7%
구 109
 
6.2%
별 104
 
5.9%
울 103
 
5.8%
특 103
 
5.8%
시 103
 
5.8%
지 78
 
4.4%
번 72
 
4.1%
호 55
 
3.1%
Other values (156) 806
45.5%

도로명주소
Text

MISSING 

Distinct110
Distinct (%)95.7%
Missing20
Missing (%)14.8%
Memory size1.2 KiB
2024-05-11T06:30:30.665025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length29.556522
Min length21

Characters and Unicode

Total characters3399
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)93.0%

Sample

1st row서울특별시 강남구 강남대로112길 33, 5층 (논현동)
2nd row서울특별시 종로구 필운대로 12 (필운동)
3rd row서울특별시 광진구 아차산로36길 5, 5,6층 (자양동)
4th row서울특별시 성동구 광나루로 130, 7층 (성수동1가)
5th row서울특별시 강남구 강남대로 574 (논현동)
ValueCountFrequency (%)
서울특별시 115
 
17.0%
강남구 18
 
2.7%
영등포구 17
 
2.5%
2층 13
 
1.9%
7층 12
 
1.8%
서초구 11
 
1.6%
테헤란로 8
 
1.2%
용산구 8
 
1.2%
5층 8
 
1.2%
여의도동 7
 
1.0%
Other values (293) 459
67.9%
2024-05-11T06:30:32.600046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
561
 
16.5%
동 145
 
4.3%
서 133
 
3.9%
로 130
 
3.8%
구 127
 
3.7%
1 127
 
3.7%
특 115
 
3.4%
별 115
 
3.4%
시 115
 
3.4%
울 115
 
3.4%
Other values (178) 1716
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1980
58.3%
Space Separator 561
 
16.5%
Decimal Number 527
 
15.5%
Close Punctuation 115
 
3.4%
Open Punctuation 115
 
3.4%
Other Punctuation 90
 
2.6%
Dash Punctuation 9
 
0.3%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 145
 
7.3%
서 133
 
6.7%
로 130
 
6.6%
구 127
 
6.4%
특 115
 
5.8%
별 115
 
5.8%
시 115
 
5.8%
울 115
 
5.8%
층 64
 
3.2%
길 46
 
2.3%
Other values (161) 875
44.2%
Decimal Number
ValueCountFrequency (%)
1 127
24.1%
3 80
15.2%
2 70
13.3%
5 53
10.1%
0 49
 
9.3%
7 39
 
7.4%
4 34
 
6.5%
6 33
 
6.3%
8 25
 
4.7%
9 17
 
3.2%
Space Separator
ValueCountFrequency (%)
561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1980
58.3%
Common 1418
41.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 145
 
7.3%
서 133
 
6.7%
로 130
 
6.6%
구 127
 
6.4%
특 115
 
5.8%
별 115
 
5.8%
시 115
 
5.8%
울 115
 
5.8%
층 64
 
3.2%
길 46
 
2.3%
Other values (161) 875
44.2%
Common
ValueCountFrequency (%)
561
39.6%
1 127
 
9.0%
) 115
 
8.1%
( 115
 
8.1%
, 90
 
6.3%
3 80
 
5.6%
2 70
 
4.9%
5 53
 
3.7%
0 49
 
3.5%
7 39
 
2.8%
Other values (6) 119
 
8.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1980
58.3%
ASCII 1419
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
561
39.5%
1 127
 
8.9%
) 115
 
8.1%
( 115
 
8.1%
, 90
 
6.3%
3 80
 
5.6%
2 70
 
4.9%
5 53
 
3.7%
0 49
 
3.5%
7 39
 
2.7%
Other values (7) 120
 
8.5%
Hangul
ValueCountFrequency (%)
동 145
 
7.3%
서 133
 
6.7%
로 130
 
6.6%
구 127
 
6.4%
특 115
 
5.8%
별 115
 
5.8%
시 115
 
5.8%
울 115
 
5.8%
층 64
 
3.2%
길 46
 
2.3%
Other values (161) 875
44.2%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

사업장명
Text

Distinct134
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T06:30:33.184825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length11.703704
Min length4

Characters and Unicode

Total characters1580
Distinct characters219
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)98.5%

Sample

1st row휴먼라이프 주식회사
2nd row(주)한두레
3rd row주식회사 동원라이프
4th row보람상조나이스(주)
5th row엘비라이프주식회사
ValueCountFrequency (%)
주식회사 19
 
11.7%
크리스찬상조(주 2
 
1.2%
폐업처리(2011.7.13 1
 
0.6%
패밀리라이프(주 1
 
0.6%
주)드림종합상조 1
 
0.6%
베누스(주 1
 
0.6%
주)더크르즈온[구)미래상조119(주)(주)국방복지상조 1
 
0.6%
주)엠투엠피이씨(구,효드림라이프 1
 
0.6%
주)하늘징검다리 1
 
0.6%
주식회사태평양종합상조 1
 
0.6%
Other values (133) 133
82.1%
2024-05-11T06:30:34.338712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 146
 
9.2%
) 125
 
7.9%
( 123
 
7.8%
이 77
 
4.9%
상 68
 
4.3%
조 68
 
4.3%
프 56
 
3.5%
라 56
 
3.5%
사 35
 
2.2%
회 30
 
1.9%
Other values (209) 796
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1214
76.8%
Close Punctuation 149
 
9.4%
Open Punctuation 147
 
9.3%
Space Separator 27
 
1.7%
Other Punctuation 24
 
1.5%
Decimal Number 19
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 146
 
12.0%
이 77
 
6.3%
상 68
 
5.6%
조 68
 
5.6%
프 56
 
4.6%
라 56
 
4.6%
사 35
 
2.9%
회 30
 
2.5%
스 28
 
2.3%
구 27
 
2.2%
Other values (194) 623
51.3%
Decimal Number
ValueCountFrequency (%)
1 9
47.4%
9 3
 
15.8%
3 2
 
10.5%
2 1
 
5.3%
0 1
 
5.3%
7 1
 
5.3%
5 1
 
5.3%
6 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 125
83.9%
] 24
 
16.1%
Open Punctuation
ValueCountFrequency (%)
( 123
83.7%
[ 24
 
16.3%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
. 2
 
8.3%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1214
76.8%
Common 366
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 146
 
12.0%
이 77
 
6.3%
상 68
 
5.6%
조 68
 
5.6%
프 56
 
4.6%
라 56
 
4.6%
사 35
 
2.9%
회 30
 
2.5%
스 28
 
2.3%
구 27
 
2.2%
Other values (194) 623
51.3%
Common
ValueCountFrequency (%)
) 125
34.2%
( 123
33.6%
27
 
7.4%
[ 24
 
6.6%
] 24
 
6.6%
, 22
 
6.0%
1 9
 
2.5%
9 3
 
0.8%
. 2
 
0.5%
3 2
 
0.5%
Other values (5) 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1214
76.8%
ASCII 366
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 146
 
12.0%
이 77
 
6.3%
상 68
 
5.6%
조 68
 
5.6%
프 56
 
4.6%
라 56
 
4.6%
사 35
 
2.9%
회 30
 
2.5%
스 28
 
2.3%
구 27
 
2.2%
Other values (194) 623
51.3%
ASCII
ValueCountFrequency (%)
) 125
34.2%
( 123
33.6%
27
 
7.4%
[ 24
 
6.6%
] 24
 
6.6%
, 22
 
6.0%
1 9
 
2.5%
9 3
 
0.8%
. 2
 
0.5%
3 2
 
0.5%
Other values (5) 5
 
1.4%

최종수정일자
Categorical

Distinct30
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2017-06-26 00:00:00
25 
2016-07-25 00:00:00
13 
2017-02-02 00:00:00
13 
2016-07-19 00:00:00
12 
2017-01-25 00:00:00
12 
Other values (25)
60 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique15 ?
Unique (%)11.1%

Sample

1st row2017-02-02 00:00:00
2nd row2016-07-22 00:00:00
3rd row2017-02-03 00:00:00
4th row2016-07-19 00:00:00
5th row2017-06-26 00:00:00

Common Values

ValueCountFrequency (%)
2017-06-26 00:00:00 25
18.5%
2016-07-25 00:00:00 13
9.6%
2017-02-02 00:00:00 13
9.6%
2016-07-19 00:00:00 12
8.9%
2017-01-25 00:00:00 12
8.9%
2016-07-20 00:00:00 8
 
5.9%
2016-07-22 00:00:00 7
 
5.2%
2017-02-03 00:00:00 7
 
5.2%
2016-07-21 00:00:00 7
 
5.2%
2017-02-01 00:00:00 5
 
3.7%
Other values (20) 26
19.3%

Length

2024-05-11T06:30:34.832947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00 135
50.0%
2017-06-26 25
 
9.3%
2016-07-25 13
 
4.8%
2017-02-02 13
 
4.8%
2016-07-19 12
 
4.4%
2017-01-25 12
 
4.4%
2016-07-20 8
 
3.0%
2016-07-22 7
 
2.6%
2017-02-03 7
 
2.6%
2016-07-21 7
 
2.6%
Other values (21) 31
 
11.5%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
135 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 135
100.0%

Length

2024-05-11T06:30:35.235330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:35.603214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 135
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
135 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 135
100.0%

Length

2024-05-11T06:30:35.950718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:36.296246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 135
50.0%
23:59:59.0 135
50.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)88.1%
Missing26
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean198766.66
Minimum182965.91
Maximum212720.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:36.626829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182965.91
5-th percentile187138.18
Q1193099.56
median198477.52
Q3203843.5
95-th percentile211005.94
Maximum212720.04
Range29754.122
Interquartile range (IQR)10743.938

Descriptive statistics

Standard deviation7071.6228
Coefficient of variation (CV)0.03557751
Kurtosis-0.78540833
Mean198766.66
Median Absolute Deviation (MAD)5377.9536
Skewness-5.0091467 × 10-5
Sum21665566
Variance50007849
MonotonicityNot monotonic
2024-05-11T06:30:37.113620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203120.866692148 6
 
4.4%
193472.910163127 4
 
3.0%
191766.059123116 2
 
1.5%
203951.756967 2
 
1.5%
197695.778708972 2
 
1.5%
190671.436719919 2
 
1.5%
189918.0 2
 
1.5%
197567.747824202 1
 
0.7%
186260.555805275 1
 
0.7%
191691.678396263 1
 
0.7%
Other values (86) 86
63.7%
(Missing) 26
 
19.3%
ValueCountFrequency (%)
182965.91468667 1
0.7%
185023.275606938 1
0.7%
186027.26460339 1
0.7%
186260.555805275 1
0.7%
186794.842142997 1
0.7%
187079.375126738 1
0.7%
187226.381680292 1
0.7%
188584.345447275 1
0.7%
189877.178943503 1
0.7%
189918.0 2
1.5%
ValueCountFrequency (%)
212720.036326214 1
0.7%
212589.743486515 1
0.7%
211367.975683155 1
0.7%
211118.977905194 1
0.7%
211073.362087887 1
0.7%
211027.51175299 1
0.7%
210973.574382963 1
0.7%
210419.0 1
0.7%
209437.698497826 1
0.7%
208954.885007667 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)88.1%
Missing26
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean447049.65
Minimum441808.55
Maximum456121.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:37.645912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441808.55
5-th percentile442233.86
Q1444313.01
median446842.05
Q3449214.41
95-th percentile453462.16
Maximum456121.37
Range14312.819
Interquartile range (IQR)4901.4053

Descriptive statistics

Standard deviation3419.0604
Coefficient of variation (CV)0.0076480553
Kurtosis-0.32004103
Mean447049.65
Median Absolute Deviation (MAD)2521.0086
Skewness0.49793327
Sum48728412
Variance11689974
MonotonicityNot monotonic
2024-05-11T06:30:38.278662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444313.008610517 6
 
4.4%
446842.048446104 4
 
3.0%
446980.281114352 2
 
1.5%
450163.074693 2
 
1.5%
448037.54997301 2
 
1.5%
442219.137493629 2
 
1.5%
445962.0 2
 
1.5%
452347.973860449 1
 
0.7%
446099.719360244 1
 
0.7%
442818.113681285 1
 
0.7%
Other values (86) 86
63.7%
(Missing) 26
 
19.3%
ValueCountFrequency (%)
441808.553923544 1
0.7%
441869.079669359 1
0.7%
442071.111409721 1
0.7%
442093.648596802 1
0.7%
442219.137493629 2
1.5%
442255.935214779 1
0.7%
442298.468220422 1
0.7%
442418.928124816 1
0.7%
442532.805626024 1
0.7%
442590.573810453 1
0.7%
ValueCountFrequency (%)
456121.373191376 1
0.7%
456118.862511091 1
0.7%
454155.759016355 1
0.7%
453980.525616427 1
0.7%
453728.173624151 1
0.7%
453673.742731222 1
0.7%
453144.789159 1
0.7%
452764.457295974 1
0.7%
452347.973860449 1
0.7%
451579.634210825 1
0.7%

민원종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

자본금의규모
Real number (ℝ)

Distinct29
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0102737 × 109
Minimum3 × 108
Maximum5 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T06:30:38.811462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 108
5-th percentile3 × 108
Q13 × 108
median3 × 108
Q34.25 × 108
95-th percentile2.005526 × 109
Maximum5 × 1010
Range4.97 × 1010
Interquartile range (IQR)1.25 × 108

Descriptive statistics

Standard deviation4.394766 × 109
Coefficient of variation (CV)4.3500746
Kurtosis117.59676
Mean1.0102737 × 109
Median Absolute Deviation (MAD)0
Skewness10.572688
Sum1.3638695 × 1011
Variance1.9313968 × 1019
MonotonicityNot monotonic
2024-05-11T06:30:39.437874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
300000000 95
70.4%
500000000 6
 
4.4%
2000000000 3
 
2.2%
350000000 2
 
1.5%
1500000000 2
 
1.5%
800000000 2
 
1.5%
700000000 2
 
1.5%
600000000 2
 
1.5%
2018420000 1
 
0.7%
1169000000 1
 
0.7%
Other values (19) 19
 
14.1%
ValueCountFrequency (%)
300000000 95
70.4%
306000000 1
 
0.7%
340000000 1
 
0.7%
350000000 2
 
1.5%
390000000 1
 
0.7%
400000000 1
 
0.7%
450000000 1
 
0.7%
458000000 1
 
0.7%
500000000 6
 
4.4%
600000000 2
 
1.5%
ValueCountFrequency (%)
50000000000 1
 
0.7%
10000000000 1
 
0.7%
6000000000 1
 
0.7%
5000000000 1
 
0.7%
3000000000 1
 
0.7%
2915040000 1
 
0.7%
2018420000 1
 
0.7%
2000000000 3
2.2%
1837500000 1
 
0.7%
1583000000 1
 
0.7%

예치기관명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
46 
우리은행
38 
신한은행
26 
국민은행
18 
하나은행
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우리은행
2nd row국민은행
3rd row신한은행
4th row<NA>
5th row하나은행

Common Values

ValueCountFrequency (%)
<NA> 46
34.1%
우리은행 38
28.1%
신한은행 26
19.3%
국민은행 18
 
13.3%
하나은행 7
 
5.2%

Length

2024-05-11T06:30:40.017525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:40.409027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
34.1%
우리은행 38
28.1%
신한은행 26
19.3%
국민은행 18
 
13.3%
하나은행 7
 
5.2%

공제계약명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
93 
기타
41 
우리은행
 
1

Length

Max length4
Median length4
Mean length3.3925926
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
68.9%
기타 41
30.4%
우리은행 1
 
0.7%

Length

2024-05-11T06:30:40.967409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:41.490219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
68.9%
기타 41
30.4%
우리은행 1
 
0.7%

공제계약기타명
Categorical

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
94 
한국상조공제조합
25 
상조보증공제조합
13 
상조보증공제조합
 
1
신한은행
 
1

Length

Max length9
Median length4
Mean length5.1925926
Min length4

Unique

Unique3 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 94
69.6%
한국상조공제조합 25
 
18.5%
상조보증공제조합 13
 
9.6%
상조보증공제조합 1
 
0.7%
신한은행 1
 
0.7%
한국상조공제종합 1
 
0.7%

Length

2024-05-11T06:30:41.889275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:30:42.327088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
69.6%
한국상조공제조합 25
 
18.5%
상조보증공제조합 14
 
10.4%
신한은행 1
 
0.7%
한국상조공제종합 1
 
0.7%

보험
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

채무지급보증
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing132
Missing (%)97.8%
Memory size1.2 KiB
2024-05-11T06:30:42.780860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8
Min length4

Characters and Unicode

Total characters24
Distinct characters12
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row우리,신한,KEB하나
2nd row신한은행
3rd row우리은행,신한은행
ValueCountFrequency (%)
우리,신한,keb하나 1
33.3%
신한은행 1
33.3%
우리은행,신한은행 1
33.3%
2024-05-11T06:30:43.871914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 3
12.5%
신 3
12.5%
한 3
12.5%
은 3
12.5%
행 3
12.5%
우 2
8.3%
리 2
8.3%
K 1
 
4.2%
E 1
 
4.2%
B 1
 
4.2%
Other values (2) 2
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
75.0%
Other Punctuation 3
 
12.5%
Uppercase Letter 3
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 3
16.7%
한 3
16.7%
은 3
16.7%
행 3
16.7%
우 2
11.1%
리 2
11.1%
하 1
 
5.6%
나 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
E 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
75.0%
Common 3
 
12.5%
Latin 3
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 3
16.7%
한 3
16.7%
은 3
16.7%
행 3
16.7%
우 2
11.1%
리 2
11.1%
하 1
 
5.6%
나 1
 
5.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
E 1
33.3%
B 1
33.3%
Common
ValueCountFrequency (%)
, 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
75.0%
ASCII 6
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 3
50.0%
K 1
 
16.7%
E 1
 
16.7%
B 1
 
16.7%
Hangul
ValueCountFrequency (%)
신 3
16.7%
한 3
16.7%
은 3
16.7%
행 3
16.7%
우 2
11.1%
리 2
11.1%
하 1
 
5.6%
나 1
 
5.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)민원종류명자본금의규모예치기관명공제계약명공제계약기타명보험채무지급보증
061100002012611000005100000320120322<NA>1영업/정상1영업중<NA><NA><NA><NA>215446477<NA><NA>서울특별시 강남구 강남대로112길 33, 5층 (논현동)<NA>휴먼라이프 주식회사2017-02-02 00:00:00I2018-08-31 23:59:59.0<NA>202320.542866444875.209079<NA>1583000000우리은행<NA><NA><NA><NA>
161100002014611000005100000520140529<NA>1영업/정상1영업중<NA><NA><NA><NA>27209517<NA><NA>서울특별시 종로구 필운대로 12 (필운동)<NA>(주)한두레2016-07-22 00:00:00I2018-08-31 23:59:59.0<NA>197231.292852452764.457296<NA>300000000국민은행<NA><NA><NA><NA>
261100002012611000005100000920120814<NA>1영업/정상1영업중<NA><NA><NA><NA>215885529<NA><NA>서울특별시 광진구 자양동 227번지 336호서울특별시 광진구 아차산로36길 5, 5,6층 (자양동)<NA>주식회사 동원라이프2017-02-03 00:00:00I2018-08-31 23:59:59.0<NA>206520.876653448451.162605<NA>300000000신한은행<NA><NA><NA><NA>
361100002011611000005100001320110103<NA>1영업/정상1영업중<NA><NA><NA><NA>215887979<NA>135981서울특별시 강남구 역삼동 역삼하이츠빌딩 2층서울특별시 성동구 광나루로 130, 7층 (성수동1가)<NA>보람상조나이스(주)2016-07-19 00:00:00I2018-08-31 23:59:59.0<NA>203951.756967450163.074693<NA>300000000<NA>기타한국상조공제조합<NA><NA>
461100002011611000005100002720110615<NA>1영업/정상1영업중<NA><NA><NA><NA>216887676<NA>135010서울특별시 강남구 논현동 19-7번지서울특별시 강남구 강남대로 574 (논현동)<NA>엘비라이프주식회사2017-06-26 00:00:00I2018-08-31 23:59:59.0<NA>201774.365078445654.312064<NA>3000000000하나은행<NA><NA><NA><NA>
561100002012611000005100000420120613<NA>1영업/정상1영업중<NA><NA><NA><NA>232962050<NA><NA>서울특별시 영등포구 여의나루로 71, 3층 2호 (여의도동)<NA>하나글로벌라이프(주)[구,전국통합상조협회(주)]2017-02-02 00:00:00I2018-08-31 23:59:59.0<NA>193472.910163446842.048446<NA>300000000국민은행<NA><NA><NA><NA>
661100002010611000005100006120101125<NA>1영업/정상1영업중<NA><NA><NA><NA>216004053<NA>134030서울특별시 강동구 성내동 515-7 1층서울특별시 강동구 성안로 17, 지층 (성내동)<NA>전국상조통합서비스(주)2017-02-02 00:00:00I2018-08-31 23:59:59.0<NA>211367.975683447040.35028<NA>300000000우리은행<NA><NA><NA><NA>
761100002013611000005100001020130912<NA>1영업/정상1영업중<NA><NA><NA><NA>215770766<NA><NA>서울특별시 영등포구 여의대방로65길 20 (여의도동)<NA>브이아이피상조(주)[구,(주)삼성금융라이프]2016-07-21 00:00:00I2018-08-31 23:59:59.0<NA>193694.665016446449.546193<NA>300000000국민은행<NA><NA><NA><NA>
861100002010611000005100004820101116<NA>1영업/정상1영업중<NA><NA><NA><NA>23251321<NA>121250서울특별시 마포구 성산동 20-12번지 당곡빌딩 5층서울특별시 강남구 테헤란로 33, 2층 (역삼동)<NA>(주)하늘지기장례토탈서비스2017-01-25 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA>300000000국민은행기타한국상조공제조합<NA><NA>
961100002010611000005100005920101224<NA>1영업/정상1영업중<NA><NA><NA><NA>25839088<NA>137060서울특별시 서초구 방배동 449-6번지 성현빌딩 5층서울특별시 송파구 올림픽로 32, 8층 (신천동)<NA>(주)위드라이프그룹 [구,(주)한강상조]2017-06-26 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA>600000000<NA>기타한국상조공제조합<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)민원종류명자본금의규모예치기관명공제계약명공제계약기타명보험채무지급보증
12561100002010611000005100005220101126<NA>1영업/정상1영업중<NA><NA><NA><NA>215887979<NA>135981서울특별시 강남구 역삼동 642번지 19호 역삼하이츠빌딩 2층서울특별시 성동구 광나루로 130, 7층 (성수동1가)<NA>보람상조임팩트(주)2016-07-19 00:00:00I2018-08-31 23:59:59.0<NA>203120.866692444313.008611<NA>300000000<NA>기타한국상조공제종합<NA><NA>
12661100002011611000005100003420110315<NA>1영업/정상1영업중<NA><NA><NA><NA>29254000<NA>138703서울특별시 송파구 신천동 KT송파지점 507호<NA><NA>한국종합상조(주)2013-02-14 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA>300000000<NA><NA><NA><NA><NA>
12761100002011611000005100003520110314<NA>1영업/정상1영업중<NA><NA><NA><NA>216004099<NA>150040서울특별시 영등포구 당산동 1가 256-27서울특별시 영등포구 당산로 84, 2층 2호 (당산동1가)<NA>(주)애니콜상조2017-02-01 00:00:00I2018-08-31 23:59:59.0<NA>190740.086381446660.886444<NA>300000000신한은행<NA><NA><NA><NA>
12861100002011611000005100003620110315<NA>1영업/정상1영업중<NA><NA><NA><NA>24782520<NA>134811서울특별시 강동구 길동 350-1번지 3층<NA><NA>주식회사 이홈라이프1970-01-01 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA>300000000신한은행<NA><NA><NA><NA>
12961100002011611000005100003020110314<NA>3폐업3폐업<NA><NA><NA><NA>216004569<NA>120120서울특별시 서대문구 남가좌동 337-22 제이엠빌딩 3층<NA><NA>효사랑복지재단(주)2013-11-28 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA>300000000우리은행<NA><NA><NA><NA>
13061100002010611000005100000520100929<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>215994409<NA>137060서울특별시 서초구 방배동 440-7번지 대일빌딩 3층<NA><NA>아름다운라이프(주)2017-03-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA>300000000<NA>기타상조보증공제조합<NA><NA>
13161100002011611000005100004620110726<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>25551497<NA>135080서울특별시 강남구 역삼동 720번지 19호서울특별시 강남구 언주로 431, 5층 (역삼동)<NA>한국두레주식회사2017-02-02 00:00:00I2018-08-31 23:59:59.0<NA>203709.359086444410.405066<NA>300000000우리은행<NA><NA><NA><NA>
13261100002011611000005100004820110519<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>25399009<NA>135280서울특별시 강남구 대치동 945-1 홍우빌딩 3층서울특별시 강남구 테헤란로 522 (대치동)<NA>(주)한민족상조2017-02-02 00:00:00I2018-08-31 23:59:59.0<NA>205355.06445075.985<NA>300000000신한은행<NA><NA><NA><NA>
13361100002010611000005100000920100929<NA>4취소/말소/만료/정지/중지7등록취소<NA><NA><NA><NA>28655589<NA>152050서울특별시 구로구 구로동 546-2번지 부영빌딩 5층서울특별시 구로구 공원로 71, 4층 (구로동)<NA>한솔라이프(주)2017-06-26 00:00:00I2018-08-31 23:59:59.0<NA>190044.356572444515.035008<NA>390000000<NA>기타한국상조공제조합<NA><NA>
13461100002010611000005100003920101027<NA>4취소/말소/만료/정지/중지8직권말소<NA><NA><NA><NA>24873388<NA>134010서울특별시 강동구 길동 347-31 4층서울특별시 강동구 천호대로 1203 (길동)<NA>(주)대천명2016-07-19 00:00:00I2018-08-31 23:59:59.0<NA>212720.036326448128.532538<NA>300000000신한은행<NA><NA><NA><NA>