Overview

Dataset statistics

Number of variables27
Number of observations752
Missing cells6393
Missing cells (%)31.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory167.6 KiB
Average record size in memory228.2 B

Variable types

Numeric4
DateTime4
Unsupported6
Categorical7
Text6

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16155/S/1/datasetView.do

Alerts

인허가취소일자 has 752 (100.0%) missing valuesMissing
폐업일자 has 422 (56.1%) missing valuesMissing
휴업시작일자 has 752 (100.0%) missing valuesMissing
휴업종료일자 has 752 (100.0%) missing valuesMissing
재개업일자 has 752 (100.0%) missing valuesMissing
전화번호 has 240 (31.9%) missing valuesMissing
소재지면적 has 752 (100.0%) missing valuesMissing
소재지우편번호 has 596 (79.3%) missing valuesMissing
지번주소 has 174 (23.1%) missing valuesMissing
도로명주소 has 62 (8.2%) missing valuesMissing
도로명우편번호 has 281 (37.4%) missing valuesMissing
업태구분명 has 752 (100.0%) missing valuesMissing
좌표정보(X) has 53 (7.0%) missing valuesMissing
좌표정보(Y) has 53 (7.0%) missing valuesMissing
관리번호 is highly skewed (γ1 = -27.01862233)Skewed
관리번호 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 started2024-04-29 18:54:26.083062
Analysis finished2024-04-29 18:54:27.168215
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3112952.1
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T03:54:27.231069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13020000
median3130000
Q33180000
95-th percentile3224500
Maximum3240000
Range240000
Interquartile range (IQR)160000

Descriptive statistics

Standard deviation79790.39
Coefficient of variation (CV)0.025631743
Kurtosis-1.5006466
Mean3112952.1
Median Absolute Deviation (MAD)80000
Skewness-0.057947142
Sum2.34094 × 109
Variance6.3665064 × 109
MonotonicityNot monotonic
2024-04-30T03:54:27.341247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3010000 114
15.2%
3180000 74
 
9.8%
3020000 61
 
8.1%
3220000 52
 
6.9%
3130000 42
 
5.6%
3160000 36
 
4.8%
3210000 34
 
4.5%
3030000 30
 
4.0%
3170000 29
 
3.9%
3150000 29
 
3.9%
Other values (15) 251
33.4%
ValueCountFrequency (%)
3000000 25
 
3.3%
3010000 114
15.2%
3020000 61
8.1%
3030000 30
 
4.0%
3040000 14
 
1.9%
3050000 13
 
1.7%
3060000 15
 
2.0%
3070000 18
 
2.4%
3080000 12
 
1.6%
3090000 11
 
1.5%
ValueCountFrequency (%)
3240000 18
 
2.4%
3230000 20
 
2.7%
3220000 52
6.9%
3210000 34
4.5%
3200000 16
 
2.1%
3190000 21
 
2.8%
3180000 74
9.8%
3170000 29
 
3.9%
3160000 36
4.8%
3150000 29
 
3.9%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct752
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0081702 × 1018
Minimum2.0030711 × 1014
Maximum2.024322 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T03:54:27.463797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030711 × 1014
5-th percentile1.9983218 × 1018
Q12.0053038 × 1018
median2.011301 × 1018
Q32.0163163 × 1018
95-th percentile2.022313 × 1018
Maximum2.024322 × 1018
Range2.0241217 × 1018
Interquartile range (IQR)1.1012509 × 1016

Descriptive statistics

Standard deviation7.368342 × 1016
Coefficient of variation (CV)0.03669182
Kurtosis737.24012
Mean2.0081702 × 1018
Median Absolute Deviation (MAD)5.0180037 × 1015
Skewness-27.018622
Sum-2.4890105 × 1018
Variance5.4292463 × 1033
MonotonicityNot monotonic
2024-04-30T03:54:27.609979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2019315020114500014 1
 
0.1%
2003315007611200002 1
 
0.1%
2007315010911200005 1
 
0.1%
2010315010914500002 1
 
0.1%
2012315014814500001 1
 
0.1%
2014315014514500004 1
 
0.1%
2002315007611200001 1
 
0.1%
2002315007611200002 1
 
0.1%
2020315020114500029 1
 
0.1%
2010315010914500010 1
 
0.1%
Other values (742) 742
98.7%
ValueCountFrequency (%)
200307111200001 1
0.1%
1986307009911200001 1
0.1%
1991313007811200001 1
0.1%
1992324007311200001 1
0.1%
1992324007311200002 1
0.1%
1994322008311200001 1
0.1%
1995301010314500013 1
0.1%
1996313007811200001 1
0.1%
1996322008311200001 1
0.1%
1996322008311200002 1
0.1%
ValueCountFrequency (%)
2024322025014500002 1
0.1%
2024318025614500001 1
0.1%
2024317024914500012 1
0.1%
2024317024914500005 1
0.1%
2024311021714500001 1
0.1%
2024308021114500002 1
0.1%
2024307029814500003 1
0.1%
2024303013514500001 1
0.1%
2023322025014500061 1
0.1%
2023321019514500018 1
0.1%

인허가일자
Date

Distinct559
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum1986-09-01 00:00:00
Maximum2024-03-07 00:00:00
2024-04-30T03:54:27.764562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:27.899124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing752
Missing (%)100.0%
Memory size6.7 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
1
364 
3
359 
5
 
26
4
 
3

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 (%)
1 364
48.4%
3 359
47.7%
5 26
 
3.5%
4 3
 
0.4%

Length

2024-04-30T03:54:28.022109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:28.123015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 364
48.4%
3 359
47.7%
5 26
 
3.5%
4 3
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
영업/정상
364 
폐업
359 
제외/삭제/전출
 
26
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length8
Mean length3.7074468
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 364
48.4%
폐업 359
47.7%
제외/삭제/전출 26
 
3.5%
취소/말소/만료/정지/중지 3
 
0.4%

Length

2024-04-30T03:54:28.233869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:28.343075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 364
48.4%
폐업 359
47.7%
제외/삭제/전출 26
 
3.5%
취소/말소/만료/정지/중지 3
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
20
364 
40
359 
50
 
26
70
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20 364
48.4%
40 359
47.7%
50 26
 
3.5%
70 3
 
0.4%

Length

2024-04-30T03:54:28.455594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:28.547876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 364
48.4%
40 359
47.7%
50 26
 
3.5%
70 3
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
영업중
364 
폐업
359 
타시군구이관
 
26
등록취소
 
3

Length

Max length6
Median length4
Mean length2.6303191
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 364
48.4%
폐업 359
47.7%
타시군구이관 26
 
3.5%
등록취소 3
 
0.4%

Length

2024-04-30T03:54:28.665916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:28.793971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 364
48.4%
폐업 359
47.7%
타시군구이관 26
 
3.5%
등록취소 3
 
0.4%

폐업일자
Date

MISSING 

Distinct243
Distinct (%)73.6%
Missing422
Missing (%)56.1%
Memory size6.0 KiB
Minimum1997-04-02 00:00:00
Maximum2024-04-02 00:00:00
2024-04-30T03:54:28.909461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:29.031632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing752
Missing (%)100.0%
Memory size6.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing752
Missing (%)100.0%
Memory size6.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing752
Missing (%)100.0%
Memory size6.7 KiB

전화번호
Text

MISSING 

Distinct487
Distinct (%)95.1%
Missing240
Missing (%)31.9%
Memory size6.0 KiB
2024-04-30T03:54:29.205355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.017578
Min length7

Characters and Unicode

Total characters5641
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

Unique463 ?
Unique (%)90.4%

Sample

1st row02 26617878
2nd row0232730008
3rd row02 993 1900
4th row02 754 7755
5th row02 549 7493
ValueCountFrequency (%)
02 278
27.6%
070 14
 
1.4%
867 4
 
0.4%
876 4
 
0.4%
69290011 3
 
0.3%
389 3
 
0.3%
874 3
 
0.3%
442 3
 
0.3%
0222538254 3
 
0.3%
051 3
 
0.3%
Other values (633) 689
68.4%
2024-04-30T03:54:29.507127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1012
17.9%
2 860
15.2%
772
13.7%
3 435
7.7%
5 416
7.4%
6 390
 
6.9%
4 379
 
6.7%
8 371
 
6.6%
1 365
 
6.5%
7 342
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4869
86.3%
Space Separator 772
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1012
20.8%
2 860
17.7%
3 435
8.9%
5 416
8.5%
6 390
 
8.0%
4 379
 
7.8%
8 371
 
7.6%
1 365
 
7.5%
7 342
 
7.0%
9 299
 
6.1%
Space Separator
ValueCountFrequency (%)
772
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5641
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1012
17.9%
2 860
15.2%
772
13.7%
3 435
7.7%
5 416
7.4%
6 390
 
6.9%
4 379
 
6.7%
8 371
 
6.6%
1 365
 
6.5%
7 342
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5641
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1012
17.9%
2 860
15.2%
772
13.7%
3 435
7.7%
5 416
7.4%
6 390
 
6.9%
4 379
 
6.7%
8 371
 
6.6%
1 365
 
6.5%
7 342
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing752
Missing (%)100.0%
Memory size6.7 KiB

소재지우편번호
Text

MISSING 

Distinct143
Distinct (%)91.7%
Missing596
Missing (%)79.3%
Memory size6.0 KiB
2024-04-30T03:54:29.809692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0897436
Min length6

Characters and Unicode

Total characters950
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)83.3%

Sample

1st row150-814
2nd row132-858
3rd row150-875
4th row138-841
5th row110480
ValueCountFrequency (%)
136130 2
 
1.3%
150033 2
 
1.3%
152050 2
 
1.3%
135894 2
 
1.3%
137824 2
 
1.3%
133123 2
 
1.3%
135701 2
 
1.3%
135918 2
 
1.3%
122020 2
 
1.3%
150010 2
 
1.3%
Other values (133) 136
87.2%
2024-04-30T03:54:30.214295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 212
22.3%
0 170
17.9%
3 110
11.6%
8 105
11.1%
5 92
9.7%
2 76
 
8.0%
4 61
 
6.4%
7 45
 
4.7%
6 36
 
3.8%
9 26
 
2.7%
Other values (2) 17
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 933
98.2%
Dash Punctuation 14
 
1.5%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 212
22.7%
0 170
18.2%
3 110
11.8%
8 105
11.3%
5 92
9.9%
2 76
 
8.1%
4 61
 
6.5%
7 45
 
4.8%
6 36
 
3.9%
9 26
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 950
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 212
22.3%
0 170
17.9%
3 110
11.6%
8 105
11.1%
5 92
9.7%
2 76
 
8.0%
4 61
 
6.4%
7 45
 
4.7%
6 36
 
3.8%
9 26
 
2.7%
Other values (2) 17
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 212
22.3%
0 170
17.9%
3 110
11.6%
8 105
11.1%
5 92
9.7%
2 76
 
8.0%
4 61
 
6.4%
7 45
 
4.7%
6 36
 
3.8%
9 26
 
2.7%
Other values (2) 17
 
1.8%

지번주소
Text

MISSING 

Distinct571
Distinct (%)98.8%
Missing174
Missing (%)23.1%
Memory size6.0 KiB
2024-04-30T03:54:30.546135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length28.83218
Min length13

Characters and Unicode

Total characters16665
Distinct characters353
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique564 ?
Unique (%)97.6%

Sample

1st row서울특별시 강서구 마곡동 798-2 류마타워
2nd row서울특별시 영등포구 대림3동 700번지 4호
3rd row서울특별시 도봉구 쌍문동 19번지 12호
4th row서울특별시 영등포구 여의도동 17번지 13호 이룸센터 404호
5th row서울특별시 강남구 삼성동 66번지 4층
ValueCountFrequency (%)
서울특별시 463
 
12.9%
1호 59
 
1.6%
영등포구 52
 
1.5%
강남구 48
 
1.3%
3호 35
 
1.0%
2호 31
 
0.9%
1반 31
 
0.9%
서초구 26
 
0.7%
마포구 26
 
0.7%
경기도 25
 
0.7%
Other values (1434) 2785
77.8%
2024-04-30T03:54:30.976836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3106
 
18.6%
1 794
 
4.8%
동 656
 
3.9%
시 592
 
3.6%
구 591
 
3.5%
서 563
 
3.4%
호 524
 
3.1%
지 479
 
2.9%
울 473
 
2.8%
별 467
 
2.8%
Other values (343) 8420
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9968
59.8%
Decimal Number 3454
 
20.7%
Space Separator 3106
 
18.6%
Uppercase Letter 63
 
0.4%
Dash Punctuation 57
 
0.3%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 656
 
6.6%
시 592
 
5.9%
구 591
 
5.9%
서 563
 
5.6%
호 524
 
5.3%
지 479
 
4.8%
울 473
 
4.7%
별 467
 
4.7%
특 466
 
4.7%
번 454
 
4.6%
Other values (304) 4703
47.2%
Uppercase Letter
ValueCountFrequency (%)
A 10
15.9%
I 6
 
9.5%
Y 5
 
7.9%
T 5
 
7.9%
W 4
 
6.3%
C 4
 
6.3%
S 4
 
6.3%
B 4
 
6.3%
O 3
 
4.8%
M 3
 
4.8%
Other values (9) 15
23.8%
Decimal Number
ValueCountFrequency (%)
1 794
23.0%
2 453
13.1%
3 397
11.5%
0 353
10.2%
4 348
10.1%
5 300
 
8.7%
6 236
 
6.8%
7 222
 
6.4%
9 186
 
5.4%
8 165
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
@ 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
3106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9968
59.8%
Common 6632
39.8%
Latin 65
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 656
 
6.6%
시 592
 
5.9%
구 591
 
5.9%
서 563
 
5.6%
호 524
 
5.3%
지 479
 
4.8%
울 473
 
4.7%
별 467
 
4.7%
특 466
 
4.7%
번 454
 
4.6%
Other values (304) 4703
47.2%
Latin
ValueCountFrequency (%)
A 10
15.4%
I 6
 
9.2%
Y 5
 
7.7%
T 5
 
7.7%
W 4
 
6.2%
C 4
 
6.2%
S 4
 
6.2%
B 4
 
6.2%
O 3
 
4.6%
M 3
 
4.6%
Other values (11) 17
26.2%
Common
ValueCountFrequency (%)
3106
46.8%
1 794
 
12.0%
2 453
 
6.8%
3 397
 
6.0%
0 353
 
5.3%
4 348
 
5.2%
5 300
 
4.5%
6 236
 
3.6%
7 222
 
3.3%
9 186
 
2.8%
Other values (8) 237
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9968
59.8%
ASCII 6697
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3106
46.4%
1 794
 
11.9%
2 453
 
6.8%
3 397
 
5.9%
0 353
 
5.3%
4 348
 
5.2%
5 300
 
4.5%
6 236
 
3.5%
7 222
 
3.3%
9 186
 
2.8%
Other values (29) 302
 
4.5%
Hangul
ValueCountFrequency (%)
동 656
 
6.6%
시 592
 
5.9%
구 591
 
5.9%
서 563
 
5.6%
호 524
 
5.3%
지 479
 
4.8%
울 473
 
4.7%
별 467
 
4.7%
특 466
 
4.7%
번 454
 
4.6%
Other values (304) 4703
47.2%

도로명주소
Text

MISSING 

Distinct669
Distinct (%)97.0%
Missing62
Missing (%)8.2%
Memory size6.0 KiB
2024-04-30T03:54:31.298581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length32.56087
Min length13

Characters and Unicode

Total characters22467
Distinct characters421
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique649 ?
Unique (%)94.1%

Sample

1st row서울특별시 강서구 공항대로 164, 류마타워 1 806호 (마곡동)
2nd row서울특별시 용산구 임정로 58 (효창동, (사)대한노인회서울특별시연합회)
3rd row서울특별시 영등포구 대림로 146 (대림동)
4th row서울특별시 도봉구 도당로2길 12-13, 1층 (쌍문동)
5th row서울특별시 영등포구 의사당대로 22, 404호 (여의도동, 이룸센터)
ValueCountFrequency (%)
서울특별시 598
 
14.1%
영등포구 63
 
1.5%
강남구 52
 
1.2%
3층 47
 
1.1%
2층 44
 
1.0%
마포구 38
 
0.9%
서초구 36
 
0.9%
구로구 32
 
0.8%
금천구 29
 
0.7%
중구 29
 
0.7%
Other values (1705) 3265
77.1%
2024-04-30T03:54:31.737687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3548
 
15.8%
동 887
 
3.9%
서 775
 
3.4%
로 767
 
3.4%
구 761
 
3.4%
시 721
 
3.2%
1 715
 
3.2%
( 682
 
3.0%
) 682
 
3.0%
울 621
 
2.8%
Other values (411) 12308
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13366
59.5%
Space Separator 3548
 
15.8%
Decimal Number 3424
 
15.2%
Open Punctuation 682
 
3.0%
Close Punctuation 682
 
3.0%
Other Punctuation 596
 
2.7%
Dash Punctuation 91
 
0.4%
Uppercase Letter 72
 
0.3%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 887
 
6.6%
서 775
 
5.8%
로 767
 
5.7%
구 761
 
5.7%
시 721
 
5.4%
울 621
 
4.6%
별 607
 
4.5%
특 603
 
4.5%
길 354
 
2.6%
대 235
 
1.8%
Other values (371) 7035
52.6%
Uppercase Letter
ValueCountFrequency (%)
A 14
19.4%
C 7
9.7%
B 5
 
6.9%
W 5
 
6.9%
Y 5
 
6.9%
M 5
 
6.9%
I 5
 
6.9%
T 4
 
5.6%
S 3
 
4.2%
O 3
 
4.2%
Other values (9) 16
22.2%
Decimal Number
ValueCountFrequency (%)
1 715
20.9%
2 515
15.0%
3 454
13.3%
0 360
10.5%
4 308
9.0%
5 273
 
8.0%
6 253
 
7.4%
8 192
 
5.6%
7 188
 
5.5%
9 166
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 592
99.3%
. 3
 
0.5%
@ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
3548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 682
100.0%
Close Punctuation
ValueCountFrequency (%)
) 682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13366
59.5%
Common 9026
40.2%
Latin 75
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 887
 
6.6%
서 775
 
5.8%
로 767
 
5.7%
구 761
 
5.7%
시 721
 
5.4%
울 621
 
4.6%
별 607
 
4.5%
특 603
 
4.5%
길 354
 
2.6%
대 235
 
1.8%
Other values (371) 7035
52.6%
Latin
ValueCountFrequency (%)
A 14
18.7%
C 7
 
9.3%
B 5
 
6.7%
W 5
 
6.7%
Y 5
 
6.7%
M 5
 
6.7%
I 5
 
6.7%
T 4
 
5.3%
S 3
 
4.0%
O 3
 
4.0%
Other values (12) 19
25.3%
Common
ValueCountFrequency (%)
3548
39.3%
1 715
 
7.9%
( 682
 
7.6%
) 682
 
7.6%
, 592
 
6.6%
2 515
 
5.7%
3 454
 
5.0%
0 360
 
4.0%
4 308
 
3.4%
5 273
 
3.0%
Other values (8) 897
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13366
59.5%
ASCII 9100
40.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3548
39.0%
1 715
 
7.9%
( 682
 
7.5%
) 682
 
7.5%
, 592
 
6.5%
2 515
 
5.7%
3 454
 
5.0%
0 360
 
4.0%
4 308
 
3.4%
5 273
 
3.0%
Other values (29) 971
 
10.7%
Hangul
ValueCountFrequency (%)
동 887
 
6.6%
서 775
 
5.8%
로 767
 
5.7%
구 761
 
5.7%
시 721
 
5.4%
울 621
 
4.6%
별 607
 
4.5%
특 603
 
4.5%
길 354
 
2.6%
대 235
 
1.8%
Other values (371) 7035
52.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct411
Distinct (%)87.3%
Missing281
Missing (%)37.4%
Memory size6.0 KiB
2024-04-30T03:54:32.044565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5201699
Min length5

Characters and Unicode

Total characters2600
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

Unique363 ?
Unique (%)77.1%

Sample

1st row07807
2nd row04311
3rd row132-858
4th row150-875
5th row135-870
ValueCountFrequency (%)
07236 6
 
1.3%
07222 5
 
1.1%
03371 3
 
0.6%
04783 3
 
0.6%
156816 3
 
0.6%
03925 3
 
0.6%
04311 3
 
0.6%
137824 2
 
0.4%
02856 2
 
0.4%
08507 2
 
0.4%
Other values (401) 439
93.2%
2024-04-30T03:54:32.477757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 496
19.1%
1 367
14.1%
3 271
10.4%
8 257
9.9%
5 243
9.3%
2 241
9.3%
7 207
8.0%
4 187
 
7.2%
6 165
 
6.3%
9 112
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2546
97.9%
Dash Punctuation 54
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 496
19.5%
1 367
14.4%
3 271
10.6%
8 257
10.1%
5 243
9.5%
2 241
9.5%
7 207
8.1%
4 187
 
7.3%
6 165
 
6.5%
9 112
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 496
19.1%
1 367
14.1%
3 271
10.4%
8 257
9.9%
5 243
9.3%
2 241
9.3%
7 207
8.0%
4 187
 
7.2%
6 165
 
6.3%
9 112
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 496
19.1%
1 367
14.1%
3 271
10.4%
8 257
9.9%
5 243
9.3%
2 241
9.3%
7 207
8.0%
4 187
 
7.2%
6 165
 
6.3%
9 112
 
4.3%

사업장명
Text

Distinct718
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T03:54:32.678163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length13.136968
Min length3

Characters and Unicode

Total characters9879
Distinct characters379
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique686 ?
Unique (%)91.2%

Sample

1st row사단법인 미래노사상생지원협회
2nd row(사)대한노인회 용산구지회
3rd row(사)전국건설기능훈련취업지원센터
4th row도봉노인종합복지관
5th row(사)한국장애인고용안정협회
ValueCountFrequency (%)
사단법인 51
 
4.5%
무료직업소개소 39
 
3.4%
사)대한노인회 28
 
2.5%
취업지원센터 23
 
2.0%
사회복지법인 16
 
1.4%
부산 10
 
0.9%
사)대한간호협회 7
 
0.6%
사회적협동조합 7
 
0.6%
직업소개소 6
 
0.5%
대한노인회 5
 
0.4%
Other values (821) 946
83.1%
2024-04-30T03:54:33.035855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 466
 
4.7%
사 429
 
4.3%
388
 
3.9%
지 363
 
3.7%
인 344
 
3.5%
한 282
 
2.9%
) 278
 
2.8%
업 275
 
2.8%
( 267
 
2.7%
국 218
 
2.2%
Other values (369) 6569
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8824
89.3%
Space Separator 388
 
3.9%
Close Punctuation 278
 
2.8%
Open Punctuation 267
 
2.7%
Uppercase Letter 100
 
1.0%
Decimal Number 13
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 466
 
5.3%
사 429
 
4.9%
지 363
 
4.1%
인 344
 
3.9%
한 282
 
3.2%
업 275
 
3.1%
국 218
 
2.5%
협 203
 
2.3%
소 194
 
2.2%
센 182
 
2.1%
Other values (339) 5868
66.5%
Uppercase Letter
ValueCountFrequency (%)
A 18
18.0%
C 16
16.0%
W 15
15.0%
Y 15
15.0%
R 6
 
6.0%
O 4
 
4.0%
H 4
 
4.0%
D 4
 
4.0%
I 3
 
3.0%
T 3
 
3.0%
Other values (8) 12
12.0%
Decimal Number
ValueCountFrequency (%)
5 5
38.5%
0 5
38.5%
4 2
 
15.4%
2 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
: 2
40.0%
Space Separator
ValueCountFrequency (%)
388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8825
89.3%
Common 954
 
9.7%
Latin 100
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 466
 
5.3%
사 429
 
4.9%
지 363
 
4.1%
인 344
 
3.9%
한 282
 
3.2%
업 275
 
3.1%
국 218
 
2.5%
협 203
 
2.3%
소 194
 
2.2%
센 182
 
2.1%
Other values (340) 5869
66.5%
Latin
ValueCountFrequency (%)
A 18
18.0%
C 16
16.0%
W 15
15.0%
Y 15
15.0%
R 6
 
6.0%
O 4
 
4.0%
H 4
 
4.0%
D 4
 
4.0%
I 3
 
3.0%
T 3
 
3.0%
Other values (8) 12
12.0%
Common
ValueCountFrequency (%)
388
40.7%
) 278
29.1%
( 267
28.0%
5 5
 
0.5%
0 5
 
0.5%
. 3
 
0.3%
: 2
 
0.2%
4 2
 
0.2%
- 2
 
0.2%
+ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8824
89.3%
ASCII 1054
 
10.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 466
 
5.3%
사 429
 
4.9%
지 363
 
4.1%
인 344
 
3.9%
한 282
 
3.2%
업 275
 
3.1%
국 218
 
2.5%
협 203
 
2.3%
소 194
 
2.2%
센 182
 
2.1%
Other values (339) 5868
66.5%
ASCII
ValueCountFrequency (%)
388
36.8%
) 278
26.4%
( 267
25.3%
A 18
 
1.7%
C 16
 
1.5%
W 15
 
1.4%
Y 15
 
1.4%
R 6
 
0.6%
5 5
 
0.5%
0 5
 
0.5%
Other values (19) 41
 
3.9%
None
ValueCountFrequency (%)
㈔ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct752
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2002-12-28 16:18:09
Maximum2024-04-24 08:57:55
2024-04-30T03:54:33.150689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:33.258186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
I
383 
U
369 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 383
50.9%
U 369
49.1%

Length

2024-04-30T03:54:33.370797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:33.457348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 383
50.9%
u 369
49.1%

데이터갱신일자
Date

Distinct308
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T03:54:33.731166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:33.846680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing752
Missing (%)100.0%
Memory size6.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct627
Distinct (%)89.7%
Missing53
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean206615.49
Minimum143325.48
Maximum420055.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T03:54:33.969824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143325.48
5-th percentile185924.29
Q1192357.9
median198825.9
Q3204918.79
95-th percentile257998.39
Maximum420055.93
Range276730.45
Interquartile range (IQR)12560.893

Descriptive statistics

Standard deviation38233.761
Coefficient of variation (CV)0.18504789
Kurtosis16.032033
Mean206615.49
Median Absolute Deviation (MAD)6197.6079
Skewness3.9729987
Sum1.4442423 × 108
Variance1.4618205 × 109
MonotonicityNot monotonic
2024-04-30T03:54:34.079796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192671.748495509 9
 
1.2%
196415.008878402 4
 
0.5%
189729.162978364 4
 
0.5%
195509.580070948 3
 
0.4%
210852.338764731 3
 
0.4%
190847.613859557 3
 
0.4%
205023.511610051 3
 
0.4%
204940.089436072 3
 
0.4%
202946.808393471 3
 
0.4%
202823.741194844 2
 
0.3%
Other values (617) 662
88.0%
(Missing) 53
 
7.0%
ValueCountFrequency (%)
143325.47861 1
0.1%
144494.610545 1
0.1%
154042.177348 1
0.1%
155910.064493796 1
0.1%
164067.074587796 1
0.1%
166490.237546085 1
0.1%
168883.443284729 1
0.1%
169344.514656069 1
0.1%
171607.158102 1
0.1%
172117.983881 1
0.1%
ValueCountFrequency (%)
420055.92539596 1
0.1%
413326.363531969 1
0.1%
411963.592736946 1
0.1%
409459.399537007 1
0.1%
402686.194055903 1
0.1%
398043.41226955 1
0.1%
390300.495359163 1
0.1%
390099.764256416 1
0.1%
389932.492792701 1
0.1%
389555.736796411 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct627
Distinct (%)89.7%
Missing53
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean428240.07
Minimum-1299.753
Maximum487025.72
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size6.7 KiB
2024-04-30T03:54:34.206040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1299.753
5-th percentile257326.36
Q1442729.08
median447184.9
Q3451286.62
95-th percentile459717.75
Maximum487025.72
Range488325.47
Interquartile range (IQR)8557.5424

Descriptive statistics

Standard deviation66769.564
Coefficient of variation (CV)0.1559162
Kurtosis11.459309
Mean428240.07
Median Absolute Deviation (MAD)4250.8523
Skewness-3.4042595
Sum2.9933981 × 108
Variance4.4581747 × 109
MonotonicityNot monotonic
2024-04-30T03:54:34.329170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447184.898323642 9
 
1.2%
449214.413960037 4
 
0.5%
444315.34504683 4
 
0.5%
449388.269219974 3
 
0.4%
448718.284718108 3
 
0.4%
442507.748860505 3
 
0.4%
449000.007942068 3
 
0.4%
459998.314879897 3
 
0.4%
446125.174367897 3
 
0.4%
443484.343213235 2
 
0.3%
Other values (617) 662
88.0%
(Missing) 53
 
7.0%
ValueCountFrequency (%)
-1299.75303266 1
0.1%
2290.59515683 1
0.1%
129678.821661302 1
0.1%
130873.764982 1
0.1%
143385.671334 1
0.1%
159351.337722851 1
0.1%
160694.664768 1
0.1%
161487.801496 1
0.1%
179738.240070052 1
0.1%
181407.364386398 1
0.1%
ValueCountFrequency (%)
487025.720047682 1
0.1%
485961.343052668 1
0.1%
484927.369287416 1
0.1%
471191.655044015 1
0.1%
464814.717432497 1
0.1%
464133.975605555 1
0.1%
463733.929347003 1
0.1%
463251.819597305 1
0.1%
462992.133614914 1
0.1%
462682.39099891 1
0.1%

법인구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
법인
434 
<NA>
275 
개인
 
43

Length

Max length4
Median length2
Mean length2.731383
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 (%)
법인 434
57.7%
<NA> 275
36.6%
개인 43
 
5.7%

Length

2024-04-30T03:54:34.442716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:34.554681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 434
57.7%
na 275
36.6%
개인 43
 
5.7%

구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
무료
482 
<NA>
270 

Length

Max length4
Median length2
Mean length2.7180851
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 (%)
무료 482
64.1%
<NA> 270
35.9%

Length

2024-04-30T03:54:34.673293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:34.778242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 482
64.1%
na 270
35.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
0315000020193150201145000142019-09-25<NA>1영업/정상20영업중<NA><NA><NA><NA>02 26617878<NA><NA>서울특별시 강서구 마곡동 798-2 류마타워서울특별시 강서구 공항대로 164, 류마타워 1 806호 (마곡동)07807사단법인 미래노사상생지원협회2024-04-16 16:33:18U2023-12-03 23:08:00.0<NA>184514.388815450797.722244<NA><NA>
1302000020173020150145000032017-05-02<NA>1영업/정상20영업중<NA><NA><NA><NA>0232730008<NA><NA><NA>서울특별시 용산구 임정로 58 (효창동, (사)대한노인회서울특별시연합회)04311(사)대한노인회 용산구지회2023-03-13 17:00:05U2022-12-02 23:05:00.0<NA><NA><NA><NA><NA>
2318000020063180076112000012006-01-05<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA>150-814서울특별시 영등포구 대림3동 700번지 4호서울특별시 영등포구 대림로 146 (대림동)<NA>(사)전국건설기능훈련취업지원센터2023-03-14 10:08:59U2022-12-02 23:06:00.0<NA>191158.577883443557.228224<NA><NA>
3309000020093090103145000022009-08-11<NA>1영업/정상20영업중<NA><NA><NA><NA>02 993 1900<NA>132-858서울특별시 도봉구 쌍문동 19번지 12호서울특별시 도봉구 도당로2길 12-13, 1층 (쌍문동)132-858도봉노인종합복지관2023-03-25 13:30:55U2022-12-02 22:07:00.0<NA>203112.139205461839.743645<NA><NA>
4318000020143180197145000242006-10-02<NA>1영업/정상20영업중<NA><NA><NA><NA>02 754 7755<NA>150-875서울특별시 영등포구 여의도동 17번지 13호 이룸센터 404호서울특별시 영등포구 의사당대로 22, 404호 (여의도동, 이룸센터)150-875(사)한국장애인고용안정협회2023-03-29 15:16:43U2022-12-02 21:01:00.0<NA>192671.748496447184.898324<NA><NA>
5322000020093220127145000482009-08-21<NA>1영업/정상20영업중<NA><NA><NA><NA>02 549 7493<NA><NA>서울특별시 강남구 삼성동 66번지 4층서울특별시 강남구 삼성로 628, 4층 (삼성동)135-870강남노인종합복지관2024-01-11 17:31:46U2023-11-30 23:03:00.0<NA>204538.320575445982.691148<NA><NA>
6306000020233060202145000042023-03-31<NA>1영업/정상20영업중<NA><NA><NA><NA>02 491 6888<NA><NA><NA>서울특별시 중랑구 면목로 456, 한성빌딩 3층 (면목동)02155전국안마복지사회적협동조합2023-03-31 18:25:58I2022-12-04 00:02:00.0<NA><NA><NA><NA><NA>
7311000020203110217145000012013-05-22<NA>5제외/삭제/전출50타시군구이관2023-04-03<NA><NA><NA>02 20691125<NA><NA>서울특별시 은평구 녹번동 7번지 서울혁신파크서울특별시 은평구 통일로 684, 서울혁신파크 1동 313호 (녹번동)03371(사)빅이슈코리아2023-04-03 09:59:21U2022-12-04 00:05:00.0<NA>194029.23575456185.615536<NA><NA>
8303000020233030135145000012013-05-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 20691125<NA><NA>서울특별시 성동구 성수동1가 22-8 헤이그라운드(HEYGROUND)서울특별시 성동구 뚝섬로1나길 5, 헤이그라운드(HEYGROUND) 3층 306호 (성수동1가)04779(사)빅이슈코리아2023-04-10 09:08:25U2022-12-03 23:02:00.0<NA>204151.648182449132.456501<NA><NA>
9321000020233210195145000012023-01-11<NA>5제외/삭제/전출50타시군구이관2023-10-19<NA><NA><NA>0234539399<NA><NA><NA>서울특별시 서초구 염곡말길 9, 서초50플러스센터 3층 (염곡동)06793유앤시니어사회적협동조합2023-10-19 09:33:35U2022-10-30 22:01:00.0<NA>204418.836684439958.443579<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
7423240000200832401391450000720080411<NA>3폐업40폐업20180405<NA><NA><NA>02 440 5811<NA><NA>서울특별시 강동구 고덕동 317번지 24호 서울장애인종합복지관서울특별시 강동구 고덕로 201, 서울장애인종합복지관 (고덕동)05235재단법인영원한도움의성모회서울장애인종합복지관무료직업소개소2018-04-05 17:42:09I2018-08-31 23:59:59.0<NA>213038.855169450373.483537법인무료
7433240000201032401651450001920101228<NA>3폐업40폐업20121212<NA><NA><NA>070 86688176<NA>134830서울특별시 강동구 명일1동 306번지 7호 503호서울특별시 강동구 양재대로 1657-11 (명일동)134830사단법인 한국아이티인재개발협회2012-12-12 17:51:25I2018-08-31 23:59:59.0<NA>212603.194993450135.008703법인무료
7443160000201731601601450001820170519<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 50-9 구로누리 배드민턴장서울특별시 구로구 새말로18길 39, 1층 (구로동)08289(사)대한노인회구로구지회2022-05-02 13:33:38U2021-12-05 00:04:00.0<NA>190428.773896444551.468841<NA><NA>
7453100000201431001841450001320141226<NA>1영업/정상20영업중<NA><NA><NA><NA>02 9495514<NA><NA><NA>서울특별시 노원구 동일로 1229 (중계동, 구민회관 201호)139863대한노인회 노원구지회 취업지원센터2022-05-18 11:10:03U2021-12-04 22:00:00.0<NA>205735.958463459705.435524<NA><NA>
7463110000202231102171450000320220510<NA>5제외/삭제/전출50타시군구이관20221028<NA><NA><NA>02 835 5412<NA><NA><NA>서울특별시 은평구 통일로 684, 민주노총본부 306호 (녹번동)03371한국의료복지 사회적협동조합연합회2022-10-28 16:37:18U2021-10-30 21:00:00.0<NA>194576.617189456427.701918<NA><NA>
747307000020133070216145000032013-05-03<NA>1영업/정상20영업중<NA><NA><NA><NA>02 919 9257<NA><NA>서울특별시 성북구 장위동 65번지 159호서울특별시 성북구 돌곶이로25길 73 (장위동)02772(사)서울패션섬유봉제협회2023-06-28 14:09:18U2022-12-05 21:00:00.0<NA>204614.641521456367.646382<NA><NA>
748307000020133070216145000012013-01-10<NA>1영업/정상20영업중2020-05-04<NA><NA><NA>02 961 8888<NA><NA>서울특별시 성북구 보문동7가 112번지 8호 세진빌딩서울특별시 성북구 보문로 38, 세진빌딩 2층 (보문동7가)02859(사)한국고용복지센터2023-11-28 17:09:01U2022-10-31 21:00:00.0<NA>201963.978237452975.540207<NA><NA>
749322000020223220250145000082022-02-04<NA>3폐업40폐업2023-03-20<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 테헤란로10길 9, 그랑프리빌딩 9층 (역삼동)06234사단법인 대한스포츠홀덤협회2023-03-30 11:18:48U2022-12-04 00:01:00.0<NA><NA><NA><NA><NA>
750311000020113110147145000012008-04-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 36723440<NA><NA>서울특별시 은평구 녹번동 7 서울혁신파크서울특별시 은평구 통일로 684, 서울혁신파크 참여동 101호 (녹번동)03371(사단법인)보건복지자원연구원 희망간병2023-12-01 10:09:20U2022-11-02 00:04:00.0<NA>194029.23575456185.615536<NA><NA>
751313000020073130126112000042007-04-24<NA>1영업/정상20영업중<NA><NA><NA><NA>0263600525<NA>121-881서울특별시 마포구 140번지 마포노인종합복지관 2층서울특별시 마포구 서강로 68, 2층 (창전동, 마포노인종합복지관 )121-881시립마포노인종합복지관(고령자 취업알선사업)2024-03-14 16:45:42U2023-12-02 23:06:00.0<NA>193939.52772449631.276534<NA><NA>