Overview

Dataset statistics

Number of variables27
Number of observations248
Missing cells2157
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.3 KiB
Average record size in memory228.5 B

Variable types

Categorical8
Numeric3
DateTime4
Unsupported6
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-20221/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 248 (100.0%) missing valuesMissing
폐업일자 has 129 (52.0%) missing valuesMissing
휴업시작일자 has 248 (100.0%) missing valuesMissing
휴업종료일자 has 248 (100.0%) missing valuesMissing
재개업일자 has 248 (100.0%) missing valuesMissing
전화번호 has 167 (67.3%) missing valuesMissing
소재지면적 has 248 (100.0%) missing valuesMissing
소재지우편번호 has 186 (75.0%) missing valuesMissing
지번주소 has 8 (3.2%) missing valuesMissing
도로명주소 has 30 (12.1%) missing valuesMissing
도로명우편번호 has 117 (47.2%) missing valuesMissing
업태구분명 has 248 (100.0%) missing valuesMissing
좌표정보(X) has 16 (6.5%) missing valuesMissing
좌표정보(Y) has 16 (6.5%) missing valuesMissing
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 started2024-04-06 11:23:39.467420
Analysis finished2024-04-06 11:23:40.216256
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3190000
248 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 248
100.0%

Length

2024-04-06T20:23:40.284647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:40.378418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 248
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0097222 × 1018
Minimum1.990319 × 1018
Maximum2.024319 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-06T20:23:40.487655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.990319 × 1018
5-th percentile1.999669 × 1018
Q12.004319 × 1018
median2.009319 × 1018
Q32.015319 × 1018
95-th percentile2.022319 × 1018
Maximum2.024319 × 1018
Range3.400002 × 1016
Interquartile range (IQR)1.1000009 × 1016

Descriptive statistics

Standard deviation7.2323205 × 1015
Coefficient of variation (CV)0.0035986667
Kurtosis-0.72330831
Mean2.0097222 × 1018
Median Absolute Deviation (MAD)6.0000027 × 1015
Skewness0.13815715
Sum3.4902494 × 1017
Variance5.230646 × 1031
MonotonicityStrictly increasing
2024-04-06T20:23:40.677108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1990319007211500001 1
 
0.4%
2013319012814500011 1
 
0.4%
2012319012814500010 1
 
0.4%
2012319012814500011 1
 
0.4%
2012319012814500012 1
 
0.4%
2012319012814500014 1
 
0.4%
2012319012814500015 1
 
0.4%
2013319012814500001 1
 
0.4%
2013319012814500002 1
 
0.4%
2013319012814500003 1
 
0.4%
Other values (238) 238
96.0%
ValueCountFrequency (%)
1990319007211500001 1
0.4%
1990319007211500002 1
0.4%
1994319007211500001 1
0.4%
1996319007211500001 1
0.4%
1997319007211500001 1
0.4%
1998319007211500001 1
0.4%
1998319007211500002 1
0.4%
1999319007211500001 1
0.4%
1999319007211500002 1
0.4%
1999319007211500003 1
0.4%
ValueCountFrequency (%)
2024319027114500001 1
0.4%
2023319027114500010 1
0.4%
2023319027114500009 1
0.4%
2023319027114500007 1
0.4%
2023319027114500006 1
0.4%
2023319027114500005 1
0.4%
2023319027114500004 1
0.4%
2023319027114500003 1
0.4%
2023319027114500002 1
0.4%
2023319027114500001 1
0.4%

인허가일자
Date

Distinct225
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1900-01-01 00:00:00
Maximum2023-12-04 00:00:00
2024-04-06T20:23:40.909548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:41.152477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing248
Missing (%)100.0%
Memory size2.3 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
189 
1
44 
5
 
12
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 189
76.2%
1 44
 
17.7%
5 12
 
4.8%
4 3
 
1.2%

Length

2024-04-06T20:23:41.336556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:41.447913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 189
76.2%
1 44
 
17.7%
5 12
 
4.8%
4 3
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
189 
영업/정상
44 
제외/삭제/전출
 
12
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length2.9677419
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 189
76.2%
영업/정상 44
 
17.7%
제외/삭제/전출 12
 
4.8%
취소/말소/만료/정지/중지 3
 
1.2%

Length

2024-04-06T20:23:41.616788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:41.789047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 189
76.2%
영업/정상 44
 
17.7%
제외/삭제/전출 12
 
4.8%
취소/말소/만료/정지/중지 3
 
1.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
40
189 
20
44 
50
 
12
70
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 189
76.2%
20 44
 
17.7%
50 12
 
4.8%
70 3
 
1.2%

Length

2024-04-06T20:23:41.945691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:42.129284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 189
76.2%
20 44
 
17.7%
50 12
 
4.8%
70 3
 
1.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
189 
영업중
44 
타시군구이관
 
12
등록취소
 
3

Length

Max length6
Median length2
Mean length2.3951613
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 189
76.2%
영업중 44
 
17.7%
타시군구이관 12
 
4.8%
등록취소 3
 
1.2%

Length

2024-04-06T20:23:42.280732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:42.451538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 189
76.2%
영업중 44
 
17.7%
타시군구이관 12
 
4.8%
등록취소 3
 
1.2%

폐업일자
Date

MISSING 

Distinct117
Distinct (%)98.3%
Missing129
Missing (%)52.0%
Memory size2.1 KiB
Minimum2003-02-11 00:00:00
Maximum2024-03-18 00:00:00
2024-04-06T20:23:42.613289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:43.138629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing248
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing248
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing248
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Text

MISSING 

Distinct80
Distinct (%)98.8%
Missing167
Missing (%)67.3%
Memory size2.1 KiB
2024-04-06T20:23:43.537640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.395062
Min length2

Characters and Unicode

Total characters923
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

Unique79 ?
Unique (%)97.5%

Sample

1st row02 817 3111
2nd row02 842 1616
3rd row000205913651
4th row02 592 7771
5th row02 592 1119
ValueCountFrequency (%)
02 45
26.3%
000220682367 2
 
1.2%
812 2
 
1.2%
8272 2
 
1.2%
522 2
 
1.2%
822 2
 
1.2%
525 2
 
1.2%
592 2
 
1.2%
031 2
 
1.2%
556 2
 
1.2%
Other values (108) 108
63.2%
2024-04-06T20:23:44.177372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 180
19.5%
2 145
15.7%
135
14.6%
8 76
8.2%
6 70
 
7.6%
3 68
 
7.4%
5 65
 
7.0%
1 59
 
6.4%
7 47
 
5.1%
4 45
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 788
85.4%
Space Separator 135
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 180
22.8%
2 145
18.4%
8 76
9.6%
6 70
 
8.9%
3 68
 
8.6%
5 65
 
8.2%
1 59
 
7.5%
7 47
 
6.0%
4 45
 
5.7%
9 33
 
4.2%
Space Separator
ValueCountFrequency (%)
135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 923
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 180
19.5%
2 145
15.7%
135
14.6%
8 76
8.2%
6 70
 
7.6%
3 68
 
7.4%
5 65
 
7.0%
1 59
 
6.4%
7 47
 
5.1%
4 45
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 923
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 180
19.5%
2 145
15.7%
135
14.6%
8 76
8.2%
6 70
 
7.6%
3 68
 
7.4%
5 65
 
7.0%
1 59
 
6.4%
7 47
 
5.1%
4 45
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing248
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)50.0%
Missing186
Missing (%)75.0%
Memory size2.1 KiB
2024-04-06T20:23:44.477675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8870968
Min length3

Characters and Unicode

Total characters365
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

Unique17 ?
Unique (%)27.4%

Sample

1st row156804
2nd row156804
3rd row000
4th row000
5th row156824
ValueCountFrequency (%)
000 10
16.1%
156091 5
 
8.1%
156020 4
 
6.5%
156854 4
 
6.5%
156804 3
 
4.8%
156811 3
 
4.8%
156827 3
 
4.8%
156853 3
 
4.8%
156-825 2
 
3.2%
156090 2
 
3.2%
Other values (20) 23
37.1%
2024-04-06T20:23:45.004160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 71
19.5%
5 63
17.3%
0 62
17.0%
6 53
14.5%
8 36
9.9%
21
 
5.8%
2 17
 
4.7%
4 15
 
4.1%
9 11
 
3.0%
7 8
 
2.2%
Other values (2) 8
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
93.7%
Space Separator 21
 
5.8%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 71
20.8%
5 63
18.4%
0 62
18.1%
6 53
15.5%
8 36
10.5%
2 17
 
5.0%
4 15
 
4.4%
9 11
 
3.2%
7 8
 
2.3%
3 6
 
1.8%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 71
19.5%
5 63
17.3%
0 62
17.0%
6 53
14.5%
8 36
9.9%
21
 
5.8%
2 17
 
4.7%
4 15
 
4.1%
9 11
 
3.0%
7 8
 
2.2%
Other values (2) 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 71
19.5%
5 63
17.3%
0 62
17.0%
6 53
14.5%
8 36
9.9%
21
 
5.8%
2 17
 
4.7%
4 15
 
4.1%
9 11
 
3.0%
7 8
 
2.2%
Other values (2) 8
 
2.2%

지번주소
Text

MISSING 

Distinct232
Distinct (%)96.7%
Missing8
Missing (%)3.2%
Memory size2.1 KiB
2024-04-06T20:23:45.448073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length30.495833
Min length18

Characters and Unicode

Total characters7319
Distinct characters222
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

Unique225 ?
Unique (%)93.8%

Sample

1st row서울특별시 동작구 노량진2동 258번지 32호
2nd row경기도 의정부시 호원동 6번지 3호 20통 4반 쌍용아파트 101 1208
3rd row경기도 안양시동안구 평촌동 898번지 6호 19통 3반 초원아파트 304 805
4th row서울특별시 동작구 노량진동 240번지 23호 16통 10반 3층
5th row서울특별시 동작구 상도동 301번지 7호 21통 3반
ValueCountFrequency (%)
서울특별시 200
 
12.8%
동작구 148
 
9.5%
사당동 61
 
3.9%
경기도 25
 
1.6%
상도동 21
 
1.3%
대방동 18
 
1.1%
3반 18
 
1.1%
신대방동 18
 
1.1%
2반 15
 
1.0%
1반 15
 
1.0%
Other values (609) 1027
65.6%
2024-04-06T20:23:46.216485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1461
20.0%
동 416
 
5.7%
1 385
 
5.3%
0 254
 
3.5%
2 244
 
3.3%
호 243
 
3.3%
시 240
 
3.3%
구 235
 
3.2%
3 220
 
3.0%
서 215
 
2.9%
Other values (212) 3406
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4047
55.3%
Decimal Number 1759
24.0%
Space Separator 1461
 
20.0%
Dash Punctuation 25
 
0.3%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 5
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 416
 
10.3%
호 243
 
6.0%
시 240
 
5.9%
구 235
 
5.8%
서 215
 
5.3%
별 202
 
5.0%
특 200
 
4.9%
울 200
 
4.9%
지 189
 
4.7%
번 177
 
4.4%
Other values (188) 1730
42.7%
Decimal Number
ValueCountFrequency (%)
1 385
21.9%
0 254
14.4%
2 244
13.9%
3 220
12.5%
4 145
 
8.2%
5 129
 
7.3%
8 111
 
6.3%
6 106
 
6.0%
7 86
 
4.9%
9 79
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
e 1
20.0%
w 1
20.0%
o 1
20.0%
b 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
T 1
20.0%
K 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
1461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4047
55.3%
Common 3262
44.6%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 416
 
10.3%
호 243
 
6.0%
시 240
 
5.9%
구 235
 
5.8%
서 215
 
5.3%
별 202
 
5.0%
특 200
 
4.9%
울 200
 
4.9%
지 189
 
4.7%
번 177
 
4.4%
Other values (188) 1730
42.7%
Common
ValueCountFrequency (%)
1461
44.8%
1 385
 
11.8%
0 254
 
7.8%
2 244
 
7.5%
3 220
 
6.7%
4 145
 
4.4%
5 129
 
4.0%
8 111
 
3.4%
6 106
 
3.2%
7 86
 
2.6%
Other values (5) 121
 
3.7%
Latin
ValueCountFrequency (%)
B 2
20.0%
r 1
10.0%
e 1
10.0%
w 1
10.0%
o 1
10.0%
T 1
10.0%
K 1
10.0%
b 1
10.0%
C 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4047
55.3%
ASCII 3272
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1461
44.7%
1 385
 
11.8%
0 254
 
7.8%
2 244
 
7.5%
3 220
 
6.7%
4 145
 
4.4%
5 129
 
3.9%
8 111
 
3.4%
6 106
 
3.2%
7 86
 
2.6%
Other values (14) 131
 
4.0%
Hangul
ValueCountFrequency (%)
동 416
 
10.3%
호 243
 
6.0%
시 240
 
5.9%
구 235
 
5.8%
서 215
 
5.3%
별 202
 
5.0%
특 200
 
4.9%
울 200
 
4.9%
지 189
 
4.7%
번 177
 
4.4%
Other values (188) 1730
42.7%

도로명주소
Text

MISSING 

Distinct202
Distinct (%)92.7%
Missing30
Missing (%)12.1%
Memory size2.1 KiB
2024-04-06T20:23:46.757016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length45
Mean length30.857798
Min length21

Characters and Unicode

Total characters6727
Distinct characters228
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

Unique188 ?
Unique (%)86.2%

Sample

1st row서울특별시 동작구 노량진로10길 26 (노량진동)
2nd row서울특별시 동작구 장승배기로27길 7, 3층 (노량진동)
3rd row서울특별시 동작구 국사봉10길 77-1 (상도동)
4th row서울특별시 관악구 조원로14길 16, 307호 (신림동,윤정아파트)
5th row경기도 하남시 천현로102번길 20 (천현동)
ValueCountFrequency (%)
서울특별시 198
 
15.6%
동작구 162
 
12.7%
사당동 68
 
5.3%
상도동 23
 
1.8%
신대방동 22
 
1.7%
대방동 17
 
1.3%
상도로 14
 
1.1%
경기도 13
 
1.0%
2층 12
 
0.9%
3층 11
 
0.9%
Other values (447) 733
57.6%
2024-04-06T20:23:47.422540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1056
 
15.7%
동 466
 
6.9%
1 241
 
3.6%
) 224
 
3.3%
( 224
 
3.3%
시 220
 
3.3%
구 217
 
3.2%
서 212
 
3.2%
작 205
 
3.0%
로 200
 
3.0%
Other values (218) 3462
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3968
59.0%
Decimal Number 1057
 
15.7%
Space Separator 1056
 
15.7%
Close Punctuation 224
 
3.3%
Open Punctuation 224
 
3.3%
Other Punctuation 151
 
2.2%
Dash Punctuation 34
 
0.5%
Uppercase Letter 8
 
0.1%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 466
 
11.7%
시 220
 
5.5%
구 217
 
5.5%
서 212
 
5.3%
작 205
 
5.2%
로 200
 
5.0%
울 198
 
5.0%
별 198
 
5.0%
특 198
 
5.0%
길 145
 
3.7%
Other values (194) 1709
43.1%
Decimal Number
ValueCountFrequency (%)
1 241
22.8%
2 187
17.7%
0 120
11.4%
3 118
11.2%
4 99
9.4%
5 86
 
8.1%
6 69
 
6.5%
9 58
 
5.5%
7 40
 
3.8%
8 39
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
e 1
20.0%
r 1
20.0%
w 1
20.0%
b 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
62.5%
T 1
 
12.5%
K 1
 
12.5%
C 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 224
100.0%
Other Punctuation
ValueCountFrequency (%)
, 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3968
59.0%
Common 2746
40.8%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 466
 
11.7%
시 220
 
5.5%
구 217
 
5.5%
서 212
 
5.3%
작 205
 
5.2%
로 200
 
5.0%
울 198
 
5.0%
별 198
 
5.0%
특 198
 
5.0%
길 145
 
3.7%
Other values (194) 1709
43.1%
Common
ValueCountFrequency (%)
1056
38.5%
1 241
 
8.8%
) 224
 
8.2%
( 224
 
8.2%
2 187
 
6.8%
, 151
 
5.5%
0 120
 
4.4%
3 118
 
4.3%
4 99
 
3.6%
5 86
 
3.1%
Other values (5) 240
 
8.7%
Latin
ValueCountFrequency (%)
B 5
38.5%
o 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
e 1
 
7.7%
r 1
 
7.7%
w 1
 
7.7%
C 1
 
7.7%
b 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3968
59.0%
ASCII 2759
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1056
38.3%
1 241
 
8.7%
) 224
 
8.1%
( 224
 
8.1%
2 187
 
6.8%
, 151
 
5.5%
0 120
 
4.3%
3 118
 
4.3%
4 99
 
3.6%
5 86
 
3.1%
Other values (14) 253
 
9.2%
Hangul
ValueCountFrequency (%)
동 466
 
11.7%
시 220
 
5.5%
구 217
 
5.5%
서 212
 
5.3%
작 205
 
5.2%
로 200
 
5.0%
울 198
 
5.0%
별 198
 
5.0%
특 198
 
5.0%
길 145
 
3.7%
Other values (194) 1709
43.1%

도로명우편번호
Text

MISSING 

Distinct68
Distinct (%)51.9%
Missing117
Missing (%)47.2%
Memory size2.1 KiB
2024-04-06T20:23:47.759090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4656489
Min length5

Characters and Unicode

Total characters716
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

Unique36 ?
Unique (%)27.5%

Sample

1st row156804
2nd row156854
3rd row156091
4th row07025
5th row156815
ValueCountFrequency (%)
156854 7
 
5.3%
06937 6
 
4.6%
156827 6
 
4.6%
07025 6
 
4.6%
07013 4
 
3.1%
156816 4
 
3.1%
07055 4
 
3.1%
07015 4
 
3.1%
156091 4
 
3.1%
06995 3
 
2.3%
Other values (58) 83
63.4%
2024-04-06T20:23:48.418946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 137
19.1%
5 112
15.6%
6 109
15.2%
1 100
14.0%
7 61
8.5%
9 58
8.1%
8 55
7.7%
2 35
 
4.9%
4 25
 
3.5%
3 22
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 714
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
19.2%
5 112
15.7%
6 109
15.3%
1 100
14.0%
7 61
8.5%
9 58
8.1%
8 55
7.7%
2 35
 
4.9%
4 25
 
3.5%
3 22
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 716
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 137
19.1%
5 112
15.6%
6 109
15.2%
1 100
14.0%
7 61
8.5%
9 58
8.1%
8 55
7.7%
2 35
 
4.9%
4 25
 
3.5%
3 22
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 137
19.1%
5 112
15.6%
6 109
15.2%
1 100
14.0%
7 61
8.5%
9 58
8.1%
8 55
7.7%
2 35
 
4.9%
4 25
 
3.5%
3 22
 
3.1%

사업장명
Text

Distinct215
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-06T20:23:48.848870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.8790323
Min length2

Characters and Unicode

Total characters1706
Distinct characters256
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

Unique186 ?
Unique (%)75.0%

Sample

1st row동작보성직업소개소
2nd row김성수직업소개소
3rd row한양인력서대문지점
4th row정수진직업소개소
5th row(주)미선플레이스먼트직업소개소
ValueCountFrequency (%)
서부인력 3
 
1.1%
장승인력 3
 
1.1%
보라매인력 3
 
1.1%
직업소개소 3
 
1.1%
하나취업정보 3
 
1.1%
동양인력 2
 
0.7%
방배인력 2
 
0.7%
주식회사 2
 
0.7%
동작점 2
 
0.7%
플러스 2
 
0.7%
Other values (226) 251
90.9%
2024-04-06T20:23:49.565314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 175
 
10.3%
업 106
 
6.2%
개 99
 
5.8%
직 90
 
5.3%
인 76
 
4.5%
력 67
 
3.9%
28
 
1.6%
( 27
 
1.6%
) 27
 
1.6%
주 26
 
1.5%
Other values (246) 985
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
92.6%
Uppercase Letter 31
 
1.8%
Space Separator 28
 
1.6%
Open Punctuation 27
 
1.6%
Close Punctuation 27
 
1.6%
Decimal Number 6
 
0.4%
Other Punctuation 4
 
0.2%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 175
 
11.1%
업 106
 
6.7%
개 99
 
6.3%
직 90
 
5.7%
인 76
 
4.8%
력 67
 
4.2%
주 26
 
1.6%
사 25
 
1.6%
보 25
 
1.6%
스 24
 
1.5%
Other values (221) 867
54.9%
Uppercase Letter
ValueCountFrequency (%)
I 5
16.1%
N 5
16.1%
W 4
12.9%
E 3
9.7%
O 2
 
6.5%
A 2
 
6.5%
K 1
 
3.2%
B 1
 
3.2%
F 1
 
3.2%
S 1
 
3.2%
Other values (6) 6
19.4%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
4 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
92.6%
Common 95
 
5.6%
Latin 31
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 175
 
11.1%
업 106
 
6.7%
개 99
 
6.3%
직 90
 
5.7%
인 76
 
4.8%
력 67
 
4.2%
주 26
 
1.6%
사 25
 
1.6%
보 25
 
1.6%
스 24
 
1.5%
Other values (221) 867
54.9%
Latin
ValueCountFrequency (%)
I 5
16.1%
N 5
16.1%
W 4
12.9%
E 3
9.7%
O 2
 
6.5%
A 2
 
6.5%
K 1
 
3.2%
B 1
 
3.2%
F 1
 
3.2%
S 1
 
3.2%
Other values (6) 6
19.4%
Common
ValueCountFrequency (%)
28
29.5%
( 27
28.4%
) 27
28.4%
1 4
 
4.2%
. 3
 
3.2%
- 2
 
2.1%
4 2
 
2.1%
+ 1
 
1.1%
& 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
92.6%
ASCII 126
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 175
 
11.1%
업 106
 
6.7%
개 99
 
6.3%
직 90
 
5.7%
인 76
 
4.8%
력 67
 
4.2%
주 26
 
1.6%
사 25
 
1.6%
보 25
 
1.6%
스 24
 
1.5%
Other values (221) 867
54.9%
ASCII
ValueCountFrequency (%)
28
22.2%
( 27
21.4%
) 27
21.4%
I 5
 
4.0%
N 5
 
4.0%
W 4
 
3.2%
1 4
 
3.2%
. 3
 
2.4%
E 3
 
2.4%
O 2
 
1.6%
Other values (15) 18
14.3%

최종수정일자
Date

UNIQUE 

Distinct248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2002-12-12 10:59:48
Maximum2024-03-18 10:12:56
2024-04-06T20:23:49.788200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:50.010060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
180 
U
68 

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 180
72.6%
U 68
 
27.4%

Length

2024-04-06T20:23:50.227576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:50.381060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 180
72.6%
u 68
 
27.4%

데이터갱신일자
Date

Distinct66
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-04-06T20:23:50.560413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:50.835457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing248
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct195
Distinct (%)84.1%
Missing16
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean196808.1
Minimum135433.17
Maximum265726.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-06T20:23:51.101286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135433.17
5-th percentile188122.3
Q1193399.16
median195862.26
Q3198178.16
95-th percentile210677.75
Maximum265726.31
Range130293.13
Interquartile range (IQR)4778.9992

Descriptive statistics

Standard deviation10796.568
Coefficient of variation (CV)0.054858354
Kurtosis19.746487
Mean196808.1
Median Absolute Deviation (MAD)2342.8339
Skewness2.2377826
Sum45659478
Variance1.1656588 × 108
MonotonicityNot monotonic
2024-04-06T20:23:51.380529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194219.201792642 4
 
1.6%
198067.297006416 4
 
1.6%
197802.054854046 3
 
1.2%
198176.893951002 3
 
1.2%
198259.59417762 3
 
1.2%
197480.94726908 3
 
1.2%
197802.436613024 2
 
0.8%
192178.130044256 2
 
0.8%
198258.866837061 2
 
0.8%
194510.02840909 2
 
0.8%
Other values (185) 204
82.3%
(Missing) 16
 
6.5%
ValueCountFrequency (%)
135433.173122 1
0.4%
174948.785504489 1
0.4%
175018.041619481 1
0.4%
175985.743634034 1
0.4%
176359.000400472 1
0.4%
176418.247824219 1
0.4%
183728.249427925 1
0.4%
186084.44987826 1
0.4%
186555.634457059 1
0.4%
186597.161624483 1
0.4%
ValueCountFrequency (%)
265726.30589084 1
0.4%
264527.08077 1
0.4%
239497.68186 1
0.4%
237149.263247 1
0.4%
234234.176548 1
0.4%
233293.025857 1
0.4%
222781.048267023 1
0.4%
219452.305012321 1
0.4%
214441.305133671 1
0.4%
213535.831918942 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct195
Distinct (%)84.1%
Missing16
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean439943.95
Minimum136248.13
Maximum486074.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-06T20:23:51.645711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136248.13
5-th percentile432437.78
Q1442075.87
median443049.47
Q3444470.56
95-th percentile450740.29
Maximum486074.18
Range349826.05
Interquartile range (IQR)2394.6877

Descriptive statistics

Standard deviation26427.311
Coefficient of variation (CV)0.060069722
Kurtosis81.162721
Mean439943.95
Median Absolute Deviation (MAD)1183.5237
Skewness-8.1121356
Sum1.02067 × 108
Variance6.9840278 × 108
MonotonicityNot monotonic
2024-04-06T20:23:51.883356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444880.903466886 4
 
1.6%
442432.740570037 4
 
1.6%
443049.47147487 3
 
1.2%
441790.888304615 3
 
1.2%
442300.140068839 3
 
1.2%
441683.006671109 3
 
1.2%
443049.214038897 2
 
0.8%
442862.531868389 2
 
0.8%
442183.650822007 2
 
0.8%
444765.882841974 2
 
0.8%
Other values (185) 204
82.3%
(Missing) 16
 
6.5%
ValueCountFrequency (%)
136248.133306 1
0.4%
316524.520268 1
0.4%
317853.631179 1
0.4%
326143.358553 1
0.4%
347383.194046 1
0.4%
364902.796832 1
0.4%
396015.417273813 1
0.4%
427778.084228926 1
0.4%
428639.772196006 1
0.4%
431833.592863757 2
0.8%
ValueCountFrequency (%)
486074.183143946 1
0.4%
469428.163938937 1
0.4%
467493.740439104 1
0.4%
462728.99269117 1
0.4%
458259.507833892 1
0.4%
457908.609176978 1
0.4%
457122.700436003 1
0.4%
456200.824141364 1
0.4%
454550.782797926 1
0.4%
454202.157007871 1
0.4%

법인구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
개인
170 
<NA>
48 
법인
30 

Length

Max length4
Median length2
Mean length2.3870968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 170
68.5%
<NA> 48
 
19.4%
법인 30
 
12.1%

Length

2024-04-06T20:23:52.126380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:52.321714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 170
68.5%
na 48
 
19.4%
법인 30
 
12.1%

구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
유료
200 
<NA>
48 

Length

Max length4
Median length2
Mean length2.3870968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 200
80.6%
<NA> 48
 
19.4%

Length

2024-04-06T20:23:52.495147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:52.665823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 200
80.6%
na 48
 
19.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03190000199031900721150000119900220<NA>3폐업40폐업20110225<NA><NA><NA><NA><NA>156804서울특별시 동작구 노량진2동 258번지 32호서울특별시 동작구 노량진로10길 26 (노량진동)<NA>동작보성직업소개소2011-02-25 18:05:34I2018-08-31 23:59:59.0<NA>194399.402144445562.990997개인유료
13190000199031900721150000219900222<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 의정부시 호원동 6번지 3호 20통 4반 쌍용아파트 101 1208<NA><NA>김성수직업소개소2002-12-12 10:59:48I2018-08-31 23:59:59.0<NA>204009.249409469428.163939개인유료
23190000199431900721150000119940306<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 안양시동안구 평촌동 898번지 6호 19통 3반 초원아파트 304 805<NA><NA>한양인력서대문지점2002-12-12 14:35:01I2018-08-31 23:59:59.0<NA>196990.897868431833.592864법인유료
33190000199631900721150000119961129<NA>1영업/정상20영업중<NA><NA><NA><NA>02 817 3111<NA>156804서울특별시 동작구 노량진동 240번지 23호 16통 10반 3층서울특별시 동작구 장승배기로27길 7, 3층 (노량진동)156804정수진직업소개소2016-08-05 14:08:14I2018-08-31 23:59:59.0<NA>194598.814637445509.6085개인유료
43190000199731900721150000119970929<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 301번지 7호 21통 3반서울특별시 동작구 국사봉10길 77-1 (상도동)<NA>(주)미선플레이스먼트직업소개소2005-12-06 14:34:34I2018-08-31 23:59:59.0<NA>194005.261861443469.358167법인유료
53190000199831900721150000119980520<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 546번지 7호 5통 6반 윤정아파트 307서울특별시 관악구 조원로14길 16, 307호 (신림동,윤정아파트)<NA>한양인력2004-11-16 09:47:42I2018-08-31 23:59:59.0<NA>191924.650935442312.48218법인유료
63190000199831900721150000219980526<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 안양시동안구 평촌동 898번지 6호 19통 3반 초원아파트 304 805<NA><NA>한양인력마포지점2002-12-12 14:39:24I2018-08-31 23:59:59.0<NA>196990.897868431833.592864법인유료
73190000199931900721150000119990306<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 955번지 20호 7통 1반 201<NA><NA>윤성자직업소개소2002-12-12 16:23:53I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
83190000199931900721150000219990809<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 하남시 천현동 22번지 3호 2통 2반경기도 하남시 천현로102번길 20 (천현동)<NA>대우개발2002-12-12 16:22:52I2018-08-31 23:59:59.0<NA>219452.305012448245.095929개인유료
93190000199931900721150000319990809<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 노량진동 326호 27통 2반 신동아아파트 103 610서울특별시 동작구 만양로 19, 103동 610호 (노량진동,신동아아파트)<NA>세진직업소개소2005-04-13 15:05:23I2018-08-31 23:59:59.0<NA>194842.900791444909.635448개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
238319000020233190271145000012023-02-07<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 455 상도동래미안(1차)아파트서울특별시 동작구 등용로 38, 상가동 지층 (상도동, 상도동래미안(1차)아파트)06937강남케어2024-01-29 16:08:10U2023-11-30 21:01:00.0<NA>194219.201793444880.903467<NA><NA>
239319000020233190271145000022023-02-10<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 347-31 윤치과의원서울특별시 동작구 여의대방로24길 140, 윤치과의원 3층 302호 (신대방동)07056건영인력(동작점)2023-02-10 14:37:40I2022-12-01 23:02:00.0<NA>193545.919051444087.593611<NA><NA>
240319000020233190271145000032023-03-29<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 66-29서울특별시 동작구 동작대로35길 55, B02호 (사당동)06991영동인력개발2023-03-29 09:26:23I2022-12-02 21:01:00.0<NA>198127.148629443308.146204<NA><NA>
241319000020233190271145000042023-04-19<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 455 상도동래미안(1차)아파트서울특별시 동작구 등용로 38, 상도동래미안(1차)아파트 상가동 B1층 140호 (상도동, 상도동래미안(1차)아파트)06937반온제이파트너스2023-04-19 10:28:20I2022-12-03 22:01:00.0<NA>194219.201793444880.903467<NA><NA>
242319000020233190271145000052023-04-19<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 105 사당우성아파트서울특별시 동작구 동작대로29길 91, 상가1동 215호 (사당동, 사당우성아파트)06999든든한 파출부 동작구점2023-04-19 10:31:19I2022-12-03 22:01:00.0<NA>197802.436613443049.214039<NA><NA>
243319000020233190271145000062023-04-24<NA>3폐업40폐업2024-02-28<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도1동 552-1서울특별시 동작구 강남초등2길 24, 1층 101호 (상도1동)06912킴 국제 직업연구소2024-03-07 15:07:50U2023-12-03 00:09:00.0<NA>195611.834805444865.240808<NA><NA>
244319000020233190271145000072023-08-22<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 387-4 그린플러스대방해담채서울특별시 동작구 대방동15나길 20-5, 그린플러스대방해담채 102호 (대방동)06945현우인력2023-08-22 11:22:00I2022-12-07 22:04:00.0<NA>193153.583388444618.499647<NA><NA>
245319000020233190271145000092014-04-04<NA>1영업/정상20영업중<NA><NA><NA><NA>02 535 6264<NA><NA>서울특별시 서초구 방배동 1038 대우프라자서울특별시 서초구 효령로 92, 대우프라자 203호 (방배동)06696하이코리아 에듀2023-11-29 11:53:09I2022-11-02 00:01:00.0<NA>199390.558095441930.413286<NA><NA>
246319000020233190271145000102023-12-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 133-13서울특별시 동작구 동작대로29길 7, 2층 (사당동)07008스팟2023-12-04 17:01:05I2022-11-02 00:06:00.0<NA>198307.119626442861.533086<NA><NA>
247319000020243190271145000012014-03-17<NA>5제외/삭제/전출50타시군구이관2024-03-13<NA><NA><NA><NA><NA>156-825서울특별시 동작구 사당동 1020번지 38호서울특별시 동작구 동작대로9길 18 (사당동)156-825참조은간병인협회2024-03-13 19:56:41U2023-12-02 23:05:00.0<NA>198206.783092442056.652647<NA><NA>