Overview

Dataset statistics

Number of variables27
Number of observations114
Missing cells1037
Missing cells (%)33.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory230.2 B

Variable types

Categorical8
Numeric4
DateTime4
Unsupported6
Text5

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),법인구분명,구분명
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-20178/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
구분명 is highly imbalanced (54.2%)Imbalance
인허가취소일자 has 114 (100.0%) missing valuesMissing
폐업일자 has 24 (21.1%) missing valuesMissing
휴업시작일자 has 114 (100.0%) missing valuesMissing
휴업종료일자 has 114 (100.0%) missing valuesMissing
재개업일자 has 114 (100.0%) missing valuesMissing
전화번호 has 81 (71.1%) missing valuesMissing
소재지면적 has 114 (100.0%) missing valuesMissing
소재지우편번호 has 96 (84.2%) missing valuesMissing
지번주소 has 8 (7.0%) missing valuesMissing
도로명주소 has 23 (20.2%) missing valuesMissing
도로명우편번호 has 95 (83.3%) missing valuesMissing
업태구분명 has 114 (100.0%) missing valuesMissing
좌표정보(X) has 13 (11.4%) missing valuesMissing
좌표정보(Y) has 13 (11.4%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:27:48.137008
Analysis finished2024-05-11 06:27:48.927608
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3010000
114 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 114
100.0%

Length

2024-05-11T15:27:49.355855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:49.520684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 114
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9874492 × 1018
Minimum2.0030711 × 1014
Maximum2.023301 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:27:49.705744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030711 × 1014
5-th percentile1.997301 × 1018
Q12.003301 × 1018
median2.003301 × 1018
Q32.006301 × 1018
95-th percentile2.019651 × 1018
Maximum2.023301 × 1018
Range2.0231007 × 1018
Interquartile range (IQR)3.0000039 × 1015

Descriptive statistics

Standard deviation1.8786822 × 1017
Coefficient of variation (CV)0.094527302
Kurtosis113.75549
Mean1.9874492 × 1018
Median Absolute Deviation (MAD)0
Skewness-10.660002
Sum5.2082854 × 1018
Variance3.5294466 × 1034
MonotonicityNot monotonic
2024-05-11T15:27:50.000288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1995301010314500013 1
 
0.9%
2007301010311200003 1
 
0.9%
2003301013114500003 1
 
0.9%
2003301007111200063 1
 
0.9%
2003301007111200062 1
 
0.9%
2003301007111200061 1
 
0.9%
2003301007111200060 1
 
0.9%
2003301007111200059 1
 
0.9%
2003301007111200058 1
 
0.9%
2003301007111200057 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
200307111200001 1
0.9%
1995301010314500013 1
0.9%
1997301007111200001 1
0.9%
1997301010311200001 1
0.9%
1997301010311200002 1
0.9%
1997301010311200003 1
0.9%
1997301010311200006 1
0.9%
1997301010311200007 1
0.9%
1997301012514500028 1
0.9%
1997301012514500031 1
0.9%
ValueCountFrequency (%)
2023301020214500009 1
0.9%
2022301016514500008 1
0.9%
2022301016514500001 1
0.9%
2021301016514500001 1
0.9%
2020301016514500013 1
0.9%
2020301016514500001 1
0.9%
2019301016514500006 1
0.9%
2016301013114500010 1
0.9%
2016301013114500009 1
0.9%
2016301013114500008 1
0.9%

인허가일자
Date

Distinct38
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1997-04-01 00:00:00
Maximum2023-05-04 00:00:00
2024-05-11T15:27:50.266250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:50.531947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3
90 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 90
78.9%
1 24
 
21.1%

Length

2024-05-11T15:27:50.761553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:50.942062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 90
78.9%
1 24
 
21.1%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
90 
영업/정상
24 

Length

Max length5
Median length2
Mean length2.6315789
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 90
78.9%
영업/정상 24
 
21.1%

Length

2024-05-11T15:27:51.132219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:51.312481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 90
78.9%
영업/정상 24
 
21.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
40
90 
20
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row20
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 90
78.9%
20 24
 
21.1%

Length

2024-05-11T15:27:51.559006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:51.746425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 90
78.9%
20 24
 
21.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
90 
영업중
24 

Length

Max length3
Median length2
Mean length2.2105263
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 90
78.9%
영업중 24
 
21.1%

Length

2024-05-11T15:27:51.936746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:52.095609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 90
78.9%
영업중 24
 
21.1%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)23.3%
Missing24
Missing (%)21.1%
Memory size1.0 KiB
Minimum1997-04-02 00:00:00
Maximum2023-05-09 00:00:00
2024-05-11T15:27:52.256500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:52.472332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing81
Missing (%)71.1%
Memory size1.0 KiB
2024-05-11T15:27:52.820782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.484848
Min length7

Characters and Unicode

Total characters379
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row02 22311876
2nd row033 254 4878
3rd row02 951 0187
4th row062 524 3511
5th row032 469 1251
ValueCountFrequency (%)
02 18
 
24.0%
557 1
 
1.3%
3824 1
 
1.3%
389 1
 
1.3%
7284 1
 
1.3%
22358630 1
 
1.3%
0222369985 1
 
1.3%
21288312 1
 
1.3%
519 1
 
1.3%
2122 1
 
1.3%
Other values (48) 48
64.0%
2024-05-11T15:27:53.396733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 73
19.3%
60
15.8%
0 51
13.5%
3 32
8.4%
1 28
 
7.4%
5 27
 
7.1%
8 25
 
6.6%
6 23
 
6.1%
4 23
 
6.1%
7 20
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 319
84.2%
Space Separator 60
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 73
22.9%
0 51
16.0%
3 32
10.0%
1 28
 
8.8%
5 27
 
8.5%
8 25
 
7.8%
6 23
 
7.2%
4 23
 
7.2%
7 20
 
6.3%
9 17
 
5.3%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 73
19.3%
60
15.8%
0 51
13.5%
3 32
8.4%
1 28
 
7.4%
5 27
 
7.1%
8 25
 
6.6%
6 23
 
6.1%
4 23
 
6.1%
7 20
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 73
19.3%
60
15.8%
0 51
13.5%
3 32
8.4%
1 28
 
7.4%
5 27
 
7.1%
8 25
 
6.6%
6 23
 
6.1%
4 23
 
6.1%
7 20
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing96
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean255925.67
Minimum0
Maximum601837
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:27:53.624789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile85012.75
Q1100170.5
median170021
Q3404201.5
95-th percentile549428.55
Maximum601837
Range601837
Interquartile range (IQR)304031

Descriptive statistics

Standard deviation185903.49
Coefficient of variation (CV)0.72639641
Kurtosis-1.1695414
Mean255925.67
Median Absolute Deviation (MAD)102567.5
Skewness0.51124904
Sum4606662
Variance3.4560106 × 1010
MonotonicityNot monotonic
2024-05-11T15:27:53.849159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
540180 1
 
0.9%
330060 1
 
0.9%
442070 1
 
0.9%
305150 1
 
0.9%
401071 1
 
0.9%
601837 1
 
0.9%
100400 1
 
0.9%
100042 1
 
0.9%
100452 1
 
0.9%
200030 1
 
0.9%
Other values (8) 8
 
7.0%
(Missing) 96
84.2%
ValueCountFrequency (%)
0 1
0.9%
100015 1
0.9%
100042 1
0.9%
100060 1
0.9%
100094 1
0.9%
100400 1
0.9%
100452 1
0.9%
139242 1
0.9%
140012 1
0.9%
200030 1
0.9%
ValueCountFrequency (%)
601837 1
0.9%
540180 1
0.9%
500702 1
0.9%
442070 1
0.9%
405245 1
0.9%
401071 1
0.9%
330060 1
0.9%
305150 1
0.9%
200030 1
0.9%
140012 1
0.9%

지번주소
Text

MISSING 

Distinct105
Distinct (%)99.1%
Missing8
Missing (%)7.0%
Memory size1.0 KiB
2024-05-11T15:27:54.439732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length31.018868
Min length18

Characters and Unicode

Total characters3288
Distinct characters200
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)98.1%

Sample

1st row서울특별시 중구 신당동 361번지 18호
2nd row서울특별시 중구 명동1가 1번지 3호 YWCA연합회
3rd row경기도 안양시만안구 박달동 149번지 1호 7통 4반 금호아파트 102 101
4th row강원도 춘천시 요선동 4번지 6호
5th row충청남도 논산시 연무읍 동산리 880호 3통
ValueCountFrequency (%)
서울특별시 41
 
5.4%
1반 23
 
3.0%
중구 22
 
2.9%
1호 13
 
1.7%
부산광역시 11
 
1.4%
경기도 10
 
1.3%
2반 10
 
1.3%
3호 10
 
1.3%
4반 10
 
1.3%
3반 8
 
1.0%
Other values (440) 604
79.3%
2024-05-11T15:27:55.364768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
20.3%
1 214
 
6.5%
호 105
 
3.2%
동 103
 
3.1%
시 103
 
3.1%
2 95
 
2.9%
3 89
 
2.7%
지 86
 
2.6%
구 83
 
2.5%
번 82
 
2.5%
Other values (190) 1660
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1835
55.8%
Decimal Number 771
23.4%
Space Separator 668
 
20.3%
Uppercase Letter 13
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 105
 
5.7%
동 103
 
5.6%
시 103
 
5.6%
지 86
 
4.7%
구 83
 
4.5%
번 82
 
4.5%
통 76
 
4.1%
반 71
 
3.9%
서 54
 
2.9%
별 42
 
2.3%
Other values (171) 1030
56.1%
Decimal Number
ValueCountFrequency (%)
1 214
27.8%
2 95
12.3%
3 89
11.5%
0 76
 
9.9%
4 72
 
9.3%
5 63
 
8.2%
6 52
 
6.7%
9 43
 
5.6%
7 34
 
4.4%
8 33
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
Y 3
23.1%
A 3
23.1%
C 2
15.4%
W 2
15.4%
T 1
 
7.7%
N 1
 
7.7%
S 1
 
7.7%
Space Separator
ValueCountFrequency (%)
668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1835
55.8%
Common 1440
43.8%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 105
 
5.7%
동 103
 
5.6%
시 103
 
5.6%
지 86
 
4.7%
구 83
 
4.5%
번 82
 
4.5%
통 76
 
4.1%
반 71
 
3.9%
서 54
 
2.9%
별 42
 
2.3%
Other values (171) 1030
56.1%
Common
ValueCountFrequency (%)
668
46.4%
1 214
 
14.9%
2 95
 
6.6%
3 89
 
6.2%
0 76
 
5.3%
4 72
 
5.0%
5 63
 
4.4%
6 52
 
3.6%
9 43
 
3.0%
7 34
 
2.4%
Other values (2) 34
 
2.4%
Latin
ValueCountFrequency (%)
Y 3
23.1%
A 3
23.1%
C 2
15.4%
W 2
15.4%
T 1
 
7.7%
N 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1835
55.8%
ASCII 1453
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
668
46.0%
1 214
 
14.7%
2 95
 
6.5%
3 89
 
6.1%
0 76
 
5.2%
4 72
 
5.0%
5 63
 
4.3%
6 52
 
3.6%
9 43
 
3.0%
7 34
 
2.3%
Other values (9) 47
 
3.2%
Hangul
ValueCountFrequency (%)
호 105
 
5.7%
동 103
 
5.6%
시 103
 
5.6%
지 86
 
4.7%
구 83
 
4.5%
번 82
 
4.5%
통 76
 
4.1%
반 71
 
3.9%
서 54
 
2.9%
별 42
 
2.3%
Other values (171) 1030
56.1%

도로명주소
Text

MISSING 

Distinct91
Distinct (%)100.0%
Missing23
Missing (%)20.2%
Memory size1.0 KiB
2024-05-11T15:27:55.814150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length29.956044
Min length19

Characters and Unicode

Total characters2726
Distinct characters222
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

Unique91 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 동호로11길 22 (신당동)
2nd row서울특별시 중구 명동길 73, YWCA연합회 (명동1가)
3rd row강원도 춘천시 중앙로 14 (요선동)
4th row충청남도 논산시 연무읍 동안로 873-8
5th row서울특별시 노원구 공릉로 187 (공릉동)
ValueCountFrequency (%)
서울특별시 46
 
8.8%
중구 27
 
5.2%
부산광역시 9
 
1.7%
신당동 7
 
1.3%
동구 6
 
1.1%
광주광역시 4
 
0.8%
충청남도 4
 
0.8%
대전광역시 4
 
0.8%
인천광역시 4
 
0.8%
6 4
 
0.8%
Other values (357) 407
78.0%
2024-05-11T15:27:56.525516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
 
15.8%
동 116
 
4.3%
1 96
 
3.5%
로 91
 
3.3%
시 90
 
3.3%
구 84
 
3.1%
) 82
 
3.0%
( 82
 
3.0%
2 64
 
2.3%
, 61
 
2.2%
Other values (212) 1528
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1594
58.5%
Decimal Number 445
 
16.3%
Space Separator 432
 
15.8%
Close Punctuation 82
 
3.0%
Open Punctuation 82
 
3.0%
Other Punctuation 61
 
2.2%
Dash Punctuation 16
 
0.6%
Uppercase Letter 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 116
 
7.3%
로 91
 
5.7%
시 90
 
5.6%
구 84
 
5.3%
서 61
 
3.8%
길 49
 
3.1%
울 49
 
3.1%
별 47
 
2.9%
특 47
 
2.9%
중 40
 
2.5%
Other values (192) 920
57.7%
Decimal Number
ValueCountFrequency (%)
1 96
21.6%
2 64
14.4%
3 54
12.1%
4 51
11.5%
0 49
11.0%
5 34
 
7.6%
6 30
 
6.7%
8 28
 
6.3%
9 20
 
4.5%
7 19
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
Y 3
21.4%
C 3
21.4%
W 3
21.4%
S 1
 
7.1%
Space Separator
ValueCountFrequency (%)
432
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1594
58.5%
Common 1118
41.0%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 116
 
7.3%
로 91
 
5.7%
시 90
 
5.6%
구 84
 
5.3%
서 61
 
3.8%
길 49
 
3.1%
울 49
 
3.1%
별 47
 
2.9%
특 47
 
2.9%
중 40
 
2.5%
Other values (192) 920
57.7%
Common
ValueCountFrequency (%)
432
38.6%
1 96
 
8.6%
) 82
 
7.3%
( 82
 
7.3%
2 64
 
5.7%
, 61
 
5.5%
3 54
 
4.8%
4 51
 
4.6%
0 49
 
4.4%
5 34
 
3.0%
Other values (5) 113
 
10.1%
Latin
ValueCountFrequency (%)
A 4
28.6%
Y 3
21.4%
C 3
21.4%
W 3
21.4%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1594
58.5%
ASCII 1132
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
432
38.2%
1 96
 
8.5%
) 82
 
7.2%
( 82
 
7.2%
2 64
 
5.7%
, 61
 
5.4%
3 54
 
4.8%
4 51
 
4.5%
0 49
 
4.3%
5 34
 
3.0%
Other values (10) 127
 
11.2%
Hangul
ValueCountFrequency (%)
동 116
 
7.3%
로 91
 
5.7%
시 90
 
5.6%
구 84
 
5.3%
서 61
 
3.8%
길 49
 
3.1%
울 49
 
3.1%
별 47
 
2.9%
특 47
 
2.9%
중 40
 
2.5%
Other values (192) 920
57.7%

도로명우편번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing95
Missing (%)83.3%
Memory size1.0 KiB
2024-05-11T15:27:56.842988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3157895
Min length5

Characters and Unicode

Total characters101
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)89.5%

Sample

1st row04538
2nd row100-021
3rd row140012
4th row100743
5th row701012
ValueCountFrequency (%)
04538 2
 
10.5%
04616 1
 
5.3%
04554 1
 
5.3%
04598 1
 
5.3%
04597 1
 
5.3%
04505 1
 
5.3%
04579 1
 
5.3%
04586 1
 
5.3%
04520 1
 
5.3%
04522 1
 
5.3%
Other values (8) 8
42.1%
2024-05-11T15:27:57.409295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
26.7%
4 17
16.8%
5 17
16.8%
1 11
10.9%
2 7
 
6.9%
8 5
 
5.0%
6 5
 
5.0%
7 5
 
5.0%
3 3
 
3.0%
9 3
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
99.0%
Dash Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
27.0%
4 17
17.0%
5 17
17.0%
1 11
11.0%
2 7
 
7.0%
8 5
 
5.0%
6 5
 
5.0%
7 5
 
5.0%
3 3
 
3.0%
9 3
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
26.7%
4 17
16.8%
5 17
16.8%
1 11
10.9%
2 7
 
6.9%
8 5
 
5.0%
6 5
 
5.0%
7 5
 
5.0%
3 3
 
3.0%
9 3
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
26.7%
4 17
16.8%
5 17
16.8%
1 11
10.9%
2 7
 
6.9%
8 5
 
5.0%
6 5
 
5.0%
7 5
 
5.0%
3 3
 
3.0%
9 3
 
3.0%

사업장명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T15:27:57.799842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length11.77193
Min length4

Characters and Unicode

Total characters1342
Distinct characters166
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row사회복지법인 서울가톨릭 사회복지회 신당종합사회복지관
2nd row(사)한국YWCA연합회후원회
3rd row안양여성인력개발센터 무료직업소개소
4th row(사)한국YWCA연합회후원회춘천YWCA
5th row논산여성인력개발센터 무료직업소개소
ValueCountFrequency (%)
무료직업소개소 20
 
9.7%
부산 10
 
4.8%
사)대한간호협회 7
 
3.4%
충북 5
 
2.4%
충남 5
 
2.4%
사)한국ywca연합회후원회 5
 
2.4%
ywca 3
 
1.4%
동구지부 3
 
1.4%
남구지부 3
 
1.4%
간호사회 3
 
1.4%
Other values (132) 143
69.1%
2024-05-11T15:27:58.503616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
7.1%
지 69
 
5.1%
회 69
 
5.1%
부 59
 
4.4%
소 49
 
3.7%
구 47
 
3.5%
사 43
 
3.2%
개 35
 
2.6%
) 31
 
2.3%
( 31
 
2.3%
Other values (156) 814
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
83.8%
Space Separator 95
 
7.1%
Uppercase Letter 60
 
4.5%
Close Punctuation 31
 
2.3%
Open Punctuation 31
 
2.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 69
 
6.1%
회 69
 
6.1%
부 59
 
5.2%
소 49
 
4.4%
구 47
 
4.2%
사 43
 
3.8%
개 35
 
3.1%
업 29
 
2.6%
산 25
 
2.2%
한 24
 
2.1%
Other values (148) 675
60.1%
Uppercase Letter
ValueCountFrequency (%)
A 15
25.0%
C 15
25.0%
Y 15
25.0%
W 15
25.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
83.8%
Common 158
 
11.8%
Latin 60
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 69
 
6.1%
회 69
 
6.1%
부 59
 
5.2%
소 49
 
4.4%
구 47
 
4.2%
사 43
 
3.8%
개 35
 
3.1%
업 29
 
2.6%
산 25
 
2.2%
한 24
 
2.1%
Other values (148) 675
60.1%
Common
ValueCountFrequency (%)
95
60.1%
) 31
 
19.6%
( 31
 
19.6%
: 1
 
0.6%
Latin
ValueCountFrequency (%)
A 15
25.0%
C 15
25.0%
Y 15
25.0%
W 15
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
83.8%
ASCII 218
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
43.6%
) 31
 
14.2%
( 31
 
14.2%
A 15
 
6.9%
C 15
 
6.9%
Y 15
 
6.9%
W 15
 
6.9%
: 1
 
0.5%
Hangul
ValueCountFrequency (%)
지 69
 
6.1%
회 69
 
6.1%
부 59
 
5.2%
소 49
 
4.4%
구 47
 
4.2%
사 43
 
3.8%
개 35
 
3.1%
업 29
 
2.6%
산 25
 
2.2%
한 24
 
2.1%
Other values (148) 675
60.1%

최종수정일자
Date

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2004-03-16 10:29:57
Maximum2024-04-09 14:41:04
2024-05-11T15:27:58.767581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:59.039912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
98 
U
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 98
86.0%
U 16
 
14.0%

Length

2024-05-11T15:27:59.280997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:59.466192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 98
86.0%
u 16
 
14.0%

데이터갱신일자
Date

Distinct18
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T15:27:59.688637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:59.895866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)98.0%
Missing13
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean237879.82
Minimum143325.48
Maximum420055.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:28:00.130324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143325.48
5-th percentile172117.98
Q1197614.61
median200981.16
Q3248158.17
95-th percentile390099.76
Maximum420055.93
Range276730.45
Interquartile range (IQR)50543.563

Descriptive statistics

Standard deviation74802.602
Coefficient of variation (CV)0.31445543
Kurtosis0.33174434
Mean237879.82
Median Absolute Deviation (MAD)12203.773
Skewness1.3481508
Sum24025862
Variance5.5954292 × 109
MonotonicityNot monotonic
2024-05-11T15:28:00.387048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191209.472741369 2
 
1.8%
200753.763409168 2
 
1.8%
155910.064493796 1
 
0.9%
169344.514656069 1
 
0.9%
197358.977982549 1
 
0.9%
283222.181854 1
 
0.9%
199022.868453712 1
 
0.9%
296371.366785 1
 
0.9%
186170.673187 1
 
0.9%
172117.983881 1
 
0.9%
Other values (89) 89
78.1%
(Missing) 13
 
11.4%
ValueCountFrequency (%)
143325.47861 1
0.9%
154042.177348 1
0.9%
155910.064493796 1
0.9%
168883.443284729 1
0.9%
169344.514656069 1
0.9%
172117.983881 1
0.9%
172812.597232 1
0.9%
175652.596588598 1
0.9%
175686.478977 1
0.9%
176105.24710818 1
0.9%
ValueCountFrequency (%)
420055.92539596 1
0.9%
413326.363531969 1
0.9%
411963.592736946 1
0.9%
402686.194055903 1
0.9%
398043.41226955 1
0.9%
390099.764256416 1
0.9%
389932.492792701 1
0.9%
388635.876447612 1
0.9%
387268.676340525 1
0.9%
386327.400478702 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)98.0%
Missing13
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean361116.74
Minimum2290.5952
Maximum487025.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:28:00.653274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2290.5952
5-th percentile179738.24
Q1264228.28
median439334.46
Q3450952.17
95-th percentile457020.76
Maximum487025.72
Range484735.12
Interquartile range (IQR)186723.9

Descriptive statistics

Standard deviation115960.3
Coefficient of variation (CV)0.32111581
Kurtosis-0.51866809
Mean361116.74
Median Absolute Deviation (MAD)17686.3
Skewness-0.89028739
Sum36472790
Variance1.344679 × 1010
MonotonicityNot monotonic
2024-05-11T15:28:01.025404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
432998.845409303 2
 
1.8%
450024.35836488 2
 
1.8%
471191.655044015 1
 
0.9%
455014.764049978 1
 
0.9%
447732.660677546 1
 
0.9%
385477.321041 1
 
0.9%
443881.411090312 1
 
0.9%
379843.919702 1
 
0.9%
353835.31313 1
 
0.9%
287166.12892 1
 
0.9%
Other values (89) 89
78.1%
(Missing) 13
 
11.4%
ValueCountFrequency (%)
2290.59515683 1
0.9%
130873.764982 1
0.9%
143385.671334 1
0.9%
160694.664768 1
0.9%
161487.801496 1
0.9%
179738.240070052 1
0.9%
181407.364386398 1
0.9%
182003.673709 1
0.9%
182409.048760802 1
0.9%
183867.774199672 1
0.9%
ValueCountFrequency (%)
487025.720047682 1
0.9%
471191.655044015 1
0.9%
463251.819597305 1
0.9%
458235.622434059 1
0.9%
458129.248871062 1
0.9%
457020.762900377 1
0.9%
456483.231734809 1
0.9%
455185.4860359 1
0.9%
455014.764049978 1
0.9%
453968.307084851 1
0.9%

법인구분명
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
법인
87 
개인
16 
<NA>
11 

Length

Max length4
Median length2
Mean length2.1929825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 87
76.3%
개인 16
 
14.0%
<NA> 11
 
9.6%

Length

2024-05-11T15:28:01.295796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:01.502244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 87
76.3%
개인 16
 
14.0%
na 11
 
9.6%

구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
무료
103 
<NA>
11 

Length

Max length4
Median length2
Mean length2.1929825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 103
90.4%
<NA> 11
 
9.6%

Length

2024-05-11T15:28:01.741493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:01.959233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 103
90.4%
na 11
 
9.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03010000199530101031450001320080331<NA>3폐업40폐업20080425<NA><NA><NA>02 22311876<NA>100452서울특별시 중구 신당동 361번지 18호서울특별시 중구 동호로11길 22 (신당동)<NA>사회복지법인 서울가톨릭 사회복지회 신당종합사회복지관2008-04-01 10:18:42I2018-08-31 23:59:59.0<NA>200772.699418450236.83085법인무료
1301000019973010071112000011997-04-01<NA>1영업/정상20영업중2012-01-11<NA><NA><NA><NA><NA><NA>서울특별시 중구 명동1가 1번지 3호 YWCA연합회서울특별시 중구 명동길 73, YWCA연합회 (명동1가)04538(사)한국YWCA연합회후원회2024-04-09 14:41:04U2023-12-03 23:01:00.0<NA>198712.290937451344.614137<NA><NA>
23010000199730101031120000119970401<NA>3폐업40폐업19970402<NA><NA><NA><NA><NA><NA>경기도 안양시만안구 박달동 149번지 1호 7통 4반 금호아파트 102 101<NA><NA>안양여성인력개발센터 무료직업소개소2008-08-14 14:11:18I2018-08-31 23:59:59.0<NA>191209.472741432998.845409개인무료
33010000199730101031120000219970401<NA>3폐업40폐업19970402<NA><NA><NA>033 254 4878<NA>200030강원도 춘천시 요선동 4번지 6호강원도 춘천시 중앙로 14 (요선동)<NA>(사)한국YWCA연합회후원회춘천YWCA2012-12-21 09:54:13I2018-08-31 23:59:59.0<NA>264043.709755487025.720048법인무료
43010000199730101031120000319970401<NA>3폐업40폐업19970402<NA><NA><NA><NA><NA><NA>충청남도 논산시 연무읍 동산리 880호 3통충청남도 논산시 연무읍 동안로 873-8<NA>논산여성인력개발센터 무료직업소개소2008-08-14 14:23:51I2018-08-31 23:59:59.0<NA>209203.282099292677.151628개인무료
53010000199730101031120000619970401<NA>3폐업40폐업19980402<NA><NA><NA><NA><NA><NA>경상남도 창원시 성주동 153호 27통 3반 유니온빌리지 102 1502<NA><NA>마산여성 인력개발센터 무료직업소개소2008-08-14 14:10:09I2018-08-31 23:59:59.0<NA><NA><NA>개인무료
63010000199730101031120000719970401<NA>3폐업40폐업19970402<NA><NA><NA><NA><NA><NA>전라북도 전주시완산구 경원동3가 34번지 3호 4통 1반<NA><NA>전주여성 무료직업소개소2008-08-14 14:20:36I2018-08-31 23:59:59.0<NA>213184.929869257910.016914개인무료
73010000199730101251450002820120224<NA>1영업/정상20영업중<NA><NA><NA><NA>02 951 0187<NA>139242서울특별시 노원구 공릉2동 408번지 4호서울특별시 노원구 공릉로 187 (공릉동)<NA>(사)한국YWCA연합회후원회 서울YWCA노원여성인력개발센터2013-01-18 18:16:16I2018-08-31 23:59:59.0<NA>206895.205501458235.622434법인무료
83010000199730101251450003120120224<NA>1영업/정상20영업중<NA><NA><NA><NA>062 524 3511<NA>500702광주광역시 북구 유동 107번지 5호 광주YWCA건물광주광역시 북구 중가로 43 (유동,광주YWCA건물)<NA>(사)한국YWCA연합회후원회 광주YWCA2012-07-11 15:32:30I2018-08-31 23:59:59.0<NA>191278.090541184520.606845법인무료
93010000199830100711120000119980116<NA>3폐업40폐업19980117<NA><NA><NA><NA><NA><NA>경기도 고양시일산구 주엽동 49호 11통 1반 강선마을 501 401<NA><NA>서울본부 무료직업소개소2008-08-14 13:57:53I2018-08-31 23:59:59.0<NA><NA><NA>법인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
1043010000201630101311450000820160908<NA>1영업/정상20영업중<NA><NA><NA><NA>02 22683015<NA><NA>서울특별시 중구 충무로3가 57번지 8호 한영빌딩서울특별시 중구 퇴계로27길 28, 한영빌딩 4층 402호 (충무로3가)04554(사)세계태권도연합재단2018-07-04 12:39:40I2018-08-31 23:59:59.0<NA>199189.786245451121.342321법인무료
105301000020163010131145000092010-09-08<NA>1영업/정상20영업중<NA><NA><NA><NA>02 519 2122<NA><NA>서울특별시 중구 다동 111번지 국제빌딩 9층서울특별시 중구 남대문로 109, 9층 (다동, 국제빌딩)04522건설근로자공제회2024-02-22 13:31:10U2023-12-01 22:04:00.0<NA>198365.141031451631.187646<NA><NA>
106301000020163010131145000102016-11-09<NA>1영업/정상20영업중<NA><NA><NA><NA>02 21288312<NA><NA>서울특별시 중구 태평로1가 25번지 한국프레스센터서울특별시 중구 세종대로 124, 한국프레스센터 4,5층 (태평로1가)04520서민금융진흥원2023-06-08 17:14:09U2022-12-05 23:00:00.0<NA>197964.095481451694.035676<NA><NA>
1073010000201930101651450000620190312<NA>1영업/정상20영업중<NA><NA><NA><NA>0222369985<NA><NA><NA>서울특별시 중구 다산로32길 5, 중구여성플라자 (신당동)04586(사)대한어머니회 중앙연합회2019-03-12 08:39:20I2019-03-14 02:21:50.0<NA>201248.370762450999.250076법인무료
108301000020203010165145000012020-01-09<NA>1영업/정상20영업중<NA><NA><NA><NA>22358630<NA><NA><NA>서울특별시 중구 퇴계로 460, 중구구민복지관 (신당동)04579서울중구장애인복지관(소속법인: 서울가톨릭사회복지회)2023-09-15 17:35:15U2022-12-08 23:07:00.0<NA>201944.611392451423.520308<NA><NA>
109301000020203010165145000132020-07-13<NA>1영업/정상20영업중<NA><NA><NA><NA>02 389 7284<NA><NA>서울특별시 중구 중림동 500 센트럴타워서울특별시 중구 서소문로 38, 센트럴타워 601,602,610호 (중림동)04505(사)한국환경산업협회2023-06-21 10:28:24U2022-12-05 22:03:00.0<NA>196948.933329450906.177833<NA><NA>
1103010000202130101651450000120210111<NA>1영업/정상20영업중<NA><NA><NA><NA>0222341557<NA><NA><NA>서울특별시 중구 다산로6길 11, 약수동 복지회관 (신당동)04597약수노인종합복지관2021-12-30 14:57:08U2022-01-01 02:40:00.0<NA>200753.763409450024.358365법인무료
111301000020223010165145000012022-01-05<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 동호로15길 27, 종하빌딩 1층 (신당동)04598사랑의달팽이2023-06-23 09:51:58U2022-12-05 22:05:00.0<NA>200718.817926450369.226625<NA><NA>
112301000020223010165145000082022-04-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동11길 20, 서울YWCA회관 3층 (명동1가)04538사단법인 서울와이더블유씨에이2023-04-12 19:23:02U2022-12-03 23:04:00.0<NA><NA><NA><NA><NA>
113301000020233010202145000092023-05-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 퇴계로 184, 스타빌딩 12층 1205호 (필동1가)04627(사)한국생애설계협회2023-05-04 10:28:46I2022-12-05 00:07:00.0<NA>199243.595084450951.535436<NA><NA>