Overview

Dataset statistics

Number of variables27
Number of observations42
Missing cells372
Missing cells (%)32.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory232.1 B

Variable types

Numeric4
DateTime4
Unsupported6
Categorical6
Text7

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),사무소전화번호,사업장전화번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16106/S/1/datasetView.do

Alerts

영업상태코드 is highly imbalanced (65.4%)Imbalance
영업상태명 is highly imbalanced (65.4%)Imbalance
상세영업상태코드 is highly imbalanced (65.4%)Imbalance
상세영업상태명 is highly imbalanced (64.6%)Imbalance
사업장전화번호 is highly imbalanced (83.8%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 40 (95.2%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 2 (4.8%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 39 (92.9%) missing valuesMissing
지번주소 has 11 (26.2%) missing valuesMissing
도로명주소 has 1 (2.4%) missing valuesMissing
도로명우편번호 has 2 (4.8%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
좌표정보(X) has 2 (4.8%) missing valuesMissing
좌표정보(Y) has 2 (4.8%) missing valuesMissing
사무소전화번호 has 21 (50.0%) 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 started2024-05-11 05:40:33.416591
Analysis finished2024-05-11 05:40:34.019330
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct10
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3224285.7
Minimum3030000
Maximum6110000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T14:40:34.089191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3030000
5-th percentile3032500
Q13160000
median3170000
Q33170000
95-th percentile3208500
Maximum6110000
Range3080000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation458284.94
Coefficient of variation (CV)0.14213534
Kurtosis41.160615
Mean3224285.7
Median Absolute Deviation (MAD)0
Skewness6.3838469
Sum1.3542 × 108
Variance2.1002509 × 1011
MonotonicityNot monotonic
2024-05-11T14:40:34.250800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3170000 22
52.4%
3160000 6
 
14.3%
3180000 4
 
9.5%
3030000 3
 
7.1%
3080000 2
 
4.8%
3110000 1
 
2.4%
3090000 1
 
2.4%
3210000 1
 
2.4%
3230000 1
 
2.4%
6110000 1
 
2.4%
ValueCountFrequency (%)
3030000 3
 
7.1%
3080000 2
 
4.8%
3090000 1
 
2.4%
3110000 1
 
2.4%
3160000 6
 
14.3%
3170000 22
52.4%
3180000 4
 
9.5%
3210000 1
 
2.4%
3230000 1
 
2.4%
6110000 1
 
2.4%
ValueCountFrequency (%)
6110000 1
 
2.4%
3230000 1
 
2.4%
3210000 1
 
2.4%
3180000 4
 
9.5%
3170000 22
52.4%
3160000 6
 
14.3%
3110000 1
 
2.4%
3090000 1
 
2.4%
3080000 2
 
4.8%
3030000 3
 
7.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9743213 × 1018
Minimum2.015611 × 1017
Maximum2.024317 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T14:40:34.448655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.015611 × 1017
5-th percentile1.999467 × 1018
Q12.015066 × 1018
median2.018817 × 1018
Q32.022317 × 1018
95-th percentile2.024267 × 1018
Maximum2.024317 × 1018
Range1.8227559 × 1018
Interquartile range (IQR)7.2510043 × 1015

Descriptive statistics

Standard deviation2.8029954 × 1017
Coefficient of variation (CV)0.14197261
Kurtosis41.945285
Mean1.9743213 × 1018
Median Absolute Deviation (MAD)3.5000045 × 1015
Skewness-6.4745829
Sum9.1345166 × 1018
Variance7.8567834 × 1034
MonotonicityNot monotonic
2024-05-11T14:40:34.880907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2023317025706500001 1
 
2.4%
2018317019006500005 1
 
2.4%
2007316015906501072 1
 
2.4%
2019317019006500004 1
 
2.4%
2022317023506500003 1
 
2.4%
2020317023506500002 1
 
2.4%
2022317023506500001 1
 
2.4%
2021317023506500001 1
 
2.4%
2018317019006500001 1
 
2.4%
2018317019006500004 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
201561100009100001 1
2.4%
1994309017006500001 1
2.4%
1999317025706500013 1
2.4%
2002316020306500002 1
2.4%
2007311011106500001 1
2.4%
2007316015906501072 1
2.4%
2010303010306500001 1
2.4%
2012318016306500004 1
2.4%
2012323023106500002 1
2.4%
2013318016306500001 1
2.4%
ValueCountFrequency (%)
2024317025706500008 1
2.4%
2024317025706500007 1
2.4%
2024317025706500005 1
2.4%
2023317025706500005 1
2.4%
2023317025706500004 1
2.4%
2023317025706500003 1
2.4%
2023317025706500001 1
2.4%
2022318023906500002 1
2.4%
2022318023906500001 1
2.4%
2022317023506500006 1
2.4%

인허가일자
Date

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1994-07-21 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T14:40:35.071188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:35.259268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
38 
5
 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row5
5th row1

Common Values

ValueCountFrequency (%)
1 38
90.5%
5 2
 
4.8%
3 2
 
4.8%

Length

2024-05-11T14:40:35.436163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:35.580312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
90.5%
5 2
 
4.8%
3 2
 
4.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
38 
제외/삭제/전출
 
2
폐업
 
2

Length

Max length8
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 38
90.5%
제외/삭제/전출 2
 
4.8%
폐업 2
 
4.8%

Length

2024-05-11T14:40:35.734527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:35.903709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 38
90.5%
제외/삭제/전출 2
 
4.8%
폐업 2
 
4.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
38 
4
 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 38
90.5%
4 2
 
4.8%
3 2
 
4.8%

Length

2024-05-11T14:40:36.130342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:36.330691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
90.5%
4 2
 
4.8%
3 2
 
4.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
37 
타시군구이관
 
2
폐업
 
2
등록
 
1

Length

Max length6
Median length3
Mean length3.0714286
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 37
88.1%
타시군구이관 2
 
4.8%
폐업 2
 
4.8%
등록 1
 
2.4%

Length

2024-05-11T14:40:36.475598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:36.628718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 37
88.1%
타시군구이관 2
 
4.8%
폐업 2
 
4.8%
등록 1
 
2.4%

폐업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing40
Missing (%)95.2%
Memory size468.0 B
Minimum2018-02-01 00:00:00
Maximum2023-02-02 00:00:00
2024-05-11T14:40:36.732440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:36.849222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct38
Distinct (%)95.0%
Missing2
Missing (%)4.8%
Memory size468.0 B
2024-05-11T14:40:37.079634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.775
Min length8

Characters and Unicode

Total characters431
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 (%)90.0%

Sample

1st row0266730930
2nd row07043505115
3rd row024602000
4th row024602000
5th row05044785421
ValueCountFrequency (%)
02 16
 
23.2%
024602000 2
 
2.9%
69569942 2
 
2.9%
856 2
 
2.9%
830 1
 
1.4%
070 1
 
1.4%
47601179 1
 
1.4%
07072049710 1
 
1.4%
0221085508 1
 
1.4%
0220382407 1
 
1.4%
Other values (41) 41
59.4%
2024-05-11T14:40:37.532910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
21.1%
2 66
15.3%
44
10.2%
6 34
 
7.9%
3 34
 
7.9%
8 32
 
7.4%
5 27
 
6.3%
4 27
 
6.3%
1 27
 
6.3%
9 26
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 387
89.8%
Space Separator 44
 
10.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
23.5%
2 66
17.1%
6 34
 
8.8%
3 34
 
8.8%
8 32
 
8.3%
5 27
 
7.0%
4 27
 
7.0%
1 27
 
7.0%
9 26
 
6.7%
7 23
 
5.9%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 431
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
21.1%
2 66
15.3%
44
10.2%
6 34
 
7.9%
3 34
 
7.9%
8 32
 
7.4%
5 27
 
6.3%
4 27
 
6.3%
1 27
 
6.3%
9 26
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
21.1%
2 66
15.3%
44
10.2%
6 34
 
7.9%
3 34
 
7.9%
8 32
 
7.4%
5 27
 
6.3%
4 27
 
6.3%
1 27
 
6.3%
9 26
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing39
Missing (%)92.9%
Memory size468.0 B
2024-05-11T14:40:37.697823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3333333
Min length6

Characters and Unicode

Total characters19
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row122-875
2nd row152051
3rd row123456
ValueCountFrequency (%)
122-875 1
33.3%
152051 1
33.3%
123456 1
33.3%
2024-05-11T14:40:37.964896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4
21.1%
2 4
21.1%
5 4
21.1%
- 1
 
5.3%
8 1
 
5.3%
7 1
 
5.3%
0 1
 
5.3%
3 1
 
5.3%
4 1
 
5.3%
6 1
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
94.7%
Dash Punctuation 1
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
22.2%
2 4
22.2%
5 4
22.2%
8 1
 
5.6%
7 1
 
5.6%
0 1
 
5.6%
3 1
 
5.6%
4 1
 
5.6%
6 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4
21.1%
2 4
21.1%
5 4
21.1%
- 1
 
5.3%
8 1
 
5.3%
7 1
 
5.3%
0 1
 
5.3%
3 1
 
5.3%
4 1
 
5.3%
6 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4
21.1%
2 4
21.1%
5 4
21.1%
- 1
 
5.3%
8 1
 
5.3%
7 1
 
5.3%
0 1
 
5.3%
3 1
 
5.3%
4 1
 
5.3%
6 1
 
5.3%

지번주소
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing11
Missing (%)26.2%
Memory size468.0 B
2024-05-11T14:40:38.283417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length29.032258
Min length19

Characters and Unicode

Total characters900
Distinct characters128
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row서울특별시 금천구 가산동 426-5 월드메르디앙2차
2nd row서울특별시 금천구 가산동 327-30
3rd row서울특별시 금천구 가산동 60-3 대륭포스트타워 5차
4th row서울특별시 금천구 시흥동 995-18
5th row서울특별시 은평구 수색동 293번지 31호
ValueCountFrequency (%)
서울특별시 31
 
17.7%
금천구 17
 
9.7%
가산동 12
 
6.9%
구로구 5
 
2.9%
영등포구 4
 
2.3%
독산동 3
 
1.7%
현대지식산업센터 3
 
1.7%
1호 3
 
1.7%
시흥동 2
 
1.1%
14호 2
 
1.1%
Other values (87) 93
53.1%
2024-05-11T14:40:38.869219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.1%
구 39
 
4.3%
시 36
 
4.0%
동 35
 
3.9%
서 33
 
3.7%
1 33
 
3.7%
울 32
 
3.6%
특 31
 
3.4%
별 31
 
3.4%
5 23
 
2.6%
Other values (118) 462
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
61.8%
Decimal Number 176
 
19.6%
Space Separator 145
 
16.1%
Dash Punctuation 15
 
1.7%
Lowercase Letter 4
 
0.4%
Uppercase Letter 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 39
 
7.0%
시 36
 
6.5%
동 35
 
6.3%
서 33
 
5.9%
울 32
 
5.8%
특 31
 
5.6%
별 31
 
5.6%
호 22
 
4.0%
산 21
 
3.8%
가 20
 
3.6%
Other values (98) 256
46.0%
Decimal Number
ValueCountFrequency (%)
1 33
18.8%
5 23
13.1%
3 21
11.9%
2 20
11.4%
0 19
10.8%
4 16
9.1%
9 14
8.0%
6 13
 
7.4%
7 10
 
5.7%
8 7
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
61.8%
Common 337
37.4%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 39
 
7.0%
시 36
 
6.5%
동 35
 
6.3%
서 33
 
5.9%
울 32
 
5.8%
특 31
 
5.6%
별 31
 
5.6%
호 22
 
4.0%
산 21
 
3.8%
가 20
 
3.6%
Other values (98) 256
46.0%
Common
ValueCountFrequency (%)
145
43.0%
1 33
 
9.8%
5 23
 
6.8%
3 21
 
6.2%
2 20
 
5.9%
0 19
 
5.6%
4 16
 
4.7%
- 15
 
4.5%
9 14
 
4.2%
6 13
 
3.9%
Other values (3) 18
 
5.3%
Latin
ValueCountFrequency (%)
A 1
14.3%
L 1
14.3%
T 1
14.3%
o 1
14.3%
w 1
14.3%
e 1
14.3%
r 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
61.8%
ASCII 344
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
42.2%
1 33
 
9.6%
5 23
 
6.7%
3 21
 
6.1%
2 20
 
5.8%
0 19
 
5.5%
4 16
 
4.7%
- 15
 
4.4%
9 14
 
4.1%
6 13
 
3.8%
Other values (10) 25
 
7.3%
Hangul
ValueCountFrequency (%)
구 39
 
7.0%
시 36
 
6.5%
동 35
 
6.3%
서 33
 
5.9%
울 32
 
5.8%
특 31
 
5.6%
별 31
 
5.6%
호 22
 
4.0%
산 21
 
3.8%
가 20
 
3.6%
Other values (98) 256
46.0%

도로명주소
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing1
Missing (%)2.4%
Memory size468.0 B
2024-05-11T14:40:39.234513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length45
Mean length40
Min length25

Characters and Unicode

Total characters1640
Distinct characters167
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

Unique39 ?
Unique (%)95.1%

Sample

1st row서울특별시 금천구 가산디지털1로 128, 에스티엑스브이타워 20층 2010호 (가산동)
2nd row서울특별시 금천구 가산디지털2로 123, 월드메르디앙2차 1211호 (가산동)
3rd row서울특별시 금천구 가산디지털2로 24, 7층 701호 (가산동)
4th row서울특별시 금천구 가산디지털2로 24, 7층 701호 (가산동)
5th row광주광역시 동구 금남로 193-22, 2층 오피스-218호 (금남로4가)
ValueCountFrequency (%)
서울특별시 39
 
13.2%
금천구 22
 
7.5%
가산동 17
 
5.8%
가산디지털2로 7
 
2.4%
구로구 5
 
1.7%
가산디지털1로 5
 
1.7%
24 5
 
1.7%
영등포구 4
 
1.4%
구로동 3
 
1.0%
독산동 3
 
1.0%
Other values (160) 185
62.7%
2024-05-11T14:40:39.788623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
256
 
15.6%
1 78
 
4.8%
동 53
 
3.2%
로 49
 
3.0%
시 49
 
3.0%
구 49
 
3.0%
2 47
 
2.9%
산 43
 
2.6%
서 42
 
2.6%
) 42
 
2.6%
Other values (157) 932
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 938
57.2%
Decimal Number 300
 
18.3%
Space Separator 256
 
15.6%
Close Punctuation 42
 
2.6%
Open Punctuation 42
 
2.6%
Other Punctuation 39
 
2.4%
Dash Punctuation 8
 
0.5%
Uppercase Letter 7
 
0.4%
Math Symbol 4
 
0.2%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
5.7%
로 49
 
5.2%
시 49
 
5.2%
구 49
 
5.2%
산 43
 
4.6%
서 42
 
4.5%
가 40
 
4.3%
울 40
 
4.3%
별 40
 
4.3%
특 40
 
4.3%
Other values (133) 493
52.6%
Decimal Number
ValueCountFrequency (%)
1 78
26.0%
2 47
15.7%
0 38
12.7%
3 28
 
9.3%
7 22
 
7.3%
4 21
 
7.0%
5 20
 
6.7%
9 16
 
5.3%
8 15
 
5.0%
6 15
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
L 1
 
14.3%
T 1
 
14.3%
A 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 938
57.2%
Common 691
42.1%
Latin 11
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
5.7%
로 49
 
5.2%
시 49
 
5.2%
구 49
 
5.2%
산 43
 
4.6%
서 42
 
4.5%
가 40
 
4.3%
울 40
 
4.3%
별 40
 
4.3%
특 40
 
4.3%
Other values (133) 493
52.6%
Common
ValueCountFrequency (%)
256
37.0%
1 78
 
11.3%
2 47
 
6.8%
) 42
 
6.1%
( 42
 
6.1%
, 39
 
5.6%
0 38
 
5.5%
3 28
 
4.1%
7 22
 
3.2%
4 21
 
3.0%
Other values (6) 78
 
11.3%
Latin
ValueCountFrequency (%)
B 4
36.4%
L 1
 
9.1%
T 1
 
9.1%
o 1
 
9.1%
w 1
 
9.1%
e 1
 
9.1%
r 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 938
57.2%
ASCII 702
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
256
36.5%
1 78
 
11.1%
2 47
 
6.7%
) 42
 
6.0%
( 42
 
6.0%
, 39
 
5.6%
0 38
 
5.4%
3 28
 
4.0%
7 22
 
3.1%
4 21
 
3.0%
Other values (14) 89
 
12.7%
Hangul
ValueCountFrequency (%)
동 53
 
5.7%
로 49
 
5.2%
시 49
 
5.2%
구 49
 
5.2%
산 43
 
4.6%
서 42
 
4.5%
가 40
 
4.3%
울 40
 
4.3%
별 40
 
4.3%
특 40
 
4.3%
Other values (133) 493
52.6%

도로명우편번호
Text

MISSING 

Distinct32
Distinct (%)80.0%
Missing2
Missing (%)4.8%
Memory size468.0 B
2024-05-11T14:40:40.049577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.05
Min length5

Characters and Unicode

Total characters202
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

Unique28 ?
Unique (%)70.0%

Sample

1st row08507
2nd row08505
3rd row08592
4th row08592
5th row61472
ValueCountFrequency (%)
08592 5
 
12.5%
08584 3
 
7.5%
08512 2
 
5.0%
08588 2
 
5.0%
08502 1
 
2.5%
08377 1
 
2.5%
08504 1
 
2.5%
08591 1
 
2.5%
01138 1
 
2.5%
08595 1
 
2.5%
Other values (22) 22
55.0%
2024-05-11T14:40:40.540704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
22.8%
8 39
19.3%
5 27
13.4%
2 24
11.9%
7 15
 
7.4%
9 14
 
6.9%
1 12
 
5.9%
3 11
 
5.4%
4 8
 
4.0%
6 5
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
22.9%
8 39
19.4%
5 27
13.4%
2 24
11.9%
7 15
 
7.5%
9 14
 
7.0%
1 12
 
6.0%
3 11
 
5.5%
4 8
 
4.0%
6 5
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
22.8%
8 39
19.3%
5 27
13.4%
2 24
11.9%
7 15
 
7.4%
9 14
 
6.9%
1 12
 
5.9%
3 11
 
5.4%
4 8
 
4.0%
6 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
22.8%
8 39
19.3%
5 27
13.4%
2 24
11.9%
7 15
 
7.4%
9 14
 
6.9%
1 12
 
5.9%
3 11
 
5.4%
4 8
 
4.0%
6 5
 
2.5%

사업장명
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T14:40:40.867443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length14
Mean length9.6428571
Min length3

Characters and Unicode

Total characters405
Distinct characters134
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)92.9%

Sample

1st row주식회사 타이드
2nd row주식회사 페타
3rd row(주)비츠로시스
4th row(주)비츠로시스
5th row주식회사 모니트
ValueCountFrequency (%)
주식회사 17
27.0%
주)비츠로시스 3
 
4.8%
주)참슬테크 1
 
1.6%
co.,ltd 1
 
1.6%
주)지원하이텍 1
 
1.6%
코엔지 1
 
1.6%
원티엘 1
 
1.6%
지오라인 1
 
1.6%
주)에너넷 1
 
1.6%
삼한기술홀딩스(주 1
 
1.6%
Other values (35) 35
55.6%
2024-05-11T14:40:41.370331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
8.9%
( 21
 
5.2%
) 21
 
5.2%
21
 
5.2%
사 18
 
4.4%
회 17
 
4.2%
식 17
 
4.2%
스 16
 
4.0%
지 9
 
2.2%
이 9
 
2.2%
Other values (124) 220
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
76.3%
Open Punctuation 21
 
5.2%
Close Punctuation 21
 
5.2%
Space Separator 21
 
5.2%
Uppercase Letter 16
 
4.0%
Lowercase Letter 14
 
3.5%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
11.7%
사 18
 
5.8%
회 17
 
5.5%
식 17
 
5.5%
스 16
 
5.2%
지 9
 
2.9%
이 9
 
2.9%
기 8
 
2.6%
엔 6
 
1.9%
인 6
 
1.9%
Other values (96) 167
54.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
12.5%
S 2
12.5%
L 2
12.5%
O 2
12.5%
I 1
6.2%
N 1
6.2%
E 1
6.2%
M 1
6.2%
R 1
6.2%
C 1
6.2%
Other values (2) 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
14.3%
e 2
14.3%
a 2
14.3%
d 1
7.1%
t 1
7.1%
o 1
7.1%
l 1
7.1%
h 1
7.1%
n 1
7.1%
m 1
7.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
76.3%
Common 66
 
16.3%
Latin 30
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
11.7%
사 18
 
5.8%
회 17
 
5.5%
식 17
 
5.5%
스 16
 
5.2%
지 9
 
2.9%
이 9
 
2.9%
기 8
 
2.6%
엔 6
 
1.9%
인 6
 
1.9%
Other values (96) 167
54.0%
Latin
ValueCountFrequency (%)
c 2
 
6.7%
e 2
 
6.7%
T 2
 
6.7%
a 2
 
6.7%
S 2
 
6.7%
L 2
 
6.7%
O 2
 
6.7%
d 1
 
3.3%
I 1
 
3.3%
t 1
 
3.3%
Other values (13) 13
43.3%
Common
ValueCountFrequency (%)
( 21
31.8%
) 21
31.8%
21
31.8%
. 2
 
3.0%
, 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
76.3%
ASCII 96
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
11.7%
사 18
 
5.8%
회 17
 
5.5%
식 17
 
5.5%
스 16
 
5.2%
지 9
 
2.9%
이 9
 
2.9%
기 8
 
2.6%
엔 6
 
1.9%
인 6
 
1.9%
Other values (96) 167
54.0%
ASCII
ValueCountFrequency (%)
( 21
21.9%
) 21
21.9%
21
21.9%
c 2
 
2.1%
e 2
 
2.1%
T 2
 
2.1%
. 2
 
2.1%
a 2
 
2.1%
S 2
 
2.1%
L 2
 
2.1%
Other values (18) 19
19.8%

최종수정일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2015-06-11 14:21:55
Maximum2024-04-30 14:26:34
2024-05-11T14:40:41.545192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:41.709211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
26 
U
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 26
61.9%
U 16
38.1%

Length

2024-05-11T14:40:41.889673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:41.996922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
61.9%
u 16
38.1%

데이터갱신일자
Date

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T14:40:42.131196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:42.310977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)90.0%
Missing2
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean191728.41
Minimum160075.47
Maximum210780.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T14:40:42.517057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160075.47
5-th percentile187788.63
Q1189442.73
median190168.6
Q3191152.98
95-th percentile204056.98
Maximum210780.13
Range50704.66
Interquartile range (IQR)1710.2537

Descriptive statistics

Standard deviation7621.5273
Coefficient of variation (CV)0.039751686
Kurtosis7.7990771
Mean191728.41
Median Absolute Deviation (MAD)827.31406
Skewness-0.97700426
Sum7669136.2
Variance58087679
MonotonicityNot monotonic
2024-05-11T14:40:42.739884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
190694.880295092 3
 
7.1%
189651.615395913 2
 
4.8%
189877.178943503 2
 
4.8%
210780.126180232 1
 
2.4%
189991.650798406 1
 
2.4%
189202.181652324 1
 
2.4%
189827.526735208 1
 
2.4%
189978.050925581 1
 
2.4%
189353.050637528 1
 
2.4%
191226.287379467 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 2
 
4.8%
ValueCountFrequency (%)
160075.4665507 1
2.4%
187619.596959162 1
2.4%
187797.525601019 1
2.4%
188898.224765887 1
2.4%
188968.189711073 1
2.4%
189084.308724201 1
2.4%
189202.181652324 1
2.4%
189202.600232089 1
2.4%
189353.050637528 1
2.4%
189419.091886816 1
2.4%
ValueCountFrequency (%)
210780.126180232 1
2.4%
205241.139981016 1
2.4%
203994.658040173 1
2.4%
203859.371399552 1
2.4%
202886.755874852 1
2.4%
202592.171003105 1
2.4%
198701.89443902 1
2.4%
192880.946054063 1
2.4%
192189.580006313 1
2.4%
191226.287379467 1
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)90.0%
Missing2
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean426705.19
Minimum-5915.4035
Maximum463284.58
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)2.4%
Memory size510.0 B
2024-05-11T14:40:42.969280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5915.4035
5-th percentile425199.12
Q1440823.29
median442103.78
Q3444959.35
95-th percentile459072.92
Maximum463284.58
Range469199.98
Interquartile range (IQR)4136.0614

Descriptive statistics

Standard deviation81570.057
Coefficient of variation (CV)0.19116256
Kurtosis22.783227
Mean426705.19
Median Absolute Deviation (MAD)1573.9981
Skewness-4.7264725
Sum17068208
Variance6.6536742 × 109
MonotonicityNot monotonic
2024-05-11T14:40:43.174417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
440764.426277932 3
 
7.1%
440972.741332881 2
 
4.8%
442093.648596802 2
 
4.8%
441730.920486073 1
 
2.4%
440695.614055984 1
 
2.4%
442562.722742062 1
 
2.4%
440823.4427446 1
 
2.4%
440363.954453659 1
 
2.4%
442493.020182986 1
 
2.4%
437914.06299827 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 2
 
4.8%
ValueCountFrequency (%)
-5915.40352374206 1
 
2.4%
183615.122027853 1
 
2.4%
437914.06299827 1
 
2.4%
439055.761948177 1
 
2.4%
440363.954453659 1
 
2.4%
440695.614055984 1
 
2.4%
440764.426277932 3
7.1%
440822.815733892 1
 
2.4%
440823.4427446 1
 
2.4%
440972.741332881 2
4.8%
ValueCountFrequency (%)
463284.578758117 1
2.4%
459121.609484225 1
2.4%
459070.360829272 1
2.4%
454220.180650108 1
2.4%
449552.049448345 1
2.4%
448495.395437399 1
2.4%
448272.019031398 1
2.4%
447407.761105507 1
2.4%
446664.78738442 1
2.4%
445841.377603245 1
2.4%

사무소전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing21
Missing (%)50.0%
Memory size468.0 B
2024-05-11T14:40:43.377351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.952381
Min length9

Characters and Unicode

Total characters230
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

Unique21 ?
Unique (%)100.0%

Sample

1st row02 460 2042
2nd row02 856 0933
3rd row0325405180
4th row0218334903
5th row029999333
ValueCountFrequency (%)
02 8
 
20.5%
460 1
 
2.6%
9871 1
 
2.6%
833 1
 
2.6%
20828282 1
 
2.6%
6300 1
 
2.6%
838 1
 
2.6%
6127 1
 
2.6%
830 1
 
2.6%
2430 1
 
2.6%
Other values (22) 22
56.4%
2024-05-11T14:40:43.768447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
22.6%
2 36
15.7%
25
10.9%
8 22
9.6%
3 20
 
8.7%
6 14
 
6.1%
5 14
 
6.1%
4 12
 
5.2%
1 12
 
5.2%
7 12
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 205
89.1%
Space Separator 25
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
25.4%
2 36
17.6%
8 22
10.7%
3 20
 
9.8%
6 14
 
6.8%
5 14
 
6.8%
4 12
 
5.9%
1 12
 
5.9%
7 12
 
5.9%
9 11
 
5.4%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
22.6%
2 36
15.7%
25
10.9%
8 22
9.6%
3 20
 
8.7%
6 14
 
6.1%
5 14
 
6.1%
4 12
 
5.2%
1 12
 
5.2%
7 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
22.6%
2 36
15.7%
25
10.9%
8 22
9.6%
3 20
 
8.7%
6 14
 
6.1%
5 14
 
6.1%
4 12
 
5.2%
1 12
 
5.2%
7 12
 
5.2%

사업장전화번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
41 
226346468
 
1

Length

Max length9
Median length4
Mean length4.1190476
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
97.6%
226346468 1
 
2.4%

Length

2024-05-11T14:40:43.955770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:44.095253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
97.6%
226346468 1
 
2.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무소전화번호사업장전화번호
0317000020233170257065000012023-04-04<NA>1영업/정상1영업중<NA><NA><NA><NA>0266730930<NA><NA><NA>서울특별시 금천구 가산디지털1로 128, 에스티엑스브이타워 20층 2010호 (가산동)08507주식회사 타이드2023-04-05 09:49:01I2022-12-04 00:07:00.0<NA><NA><NA><NA><NA>
1317000020233170257065000032023-04-04<NA>1영업/정상1영업중<NA><NA><NA><NA>07043505115<NA><NA>서울특별시 금천구 가산동 426-5 월드메르디앙2차서울특별시 금천구 가산디지털2로 123, 월드메르디앙2차 1211호 (가산동)08505주식회사 페타2023-04-07 09:04:59I2022-12-04 00:09:00.0<NA>189202.600232441848.242999<NA><NA>
2316000020213160159065000012021-08-31<NA>1영업/정상1영업중<NA><NA><NA><NA>024602000<NA><NA><NA>서울특별시 금천구 가산디지털2로 24, 7층 701호 (가산동)08592(주)비츠로시스2023-09-04 14:31:27U2022-12-09 00:06:00.0<NA><NA><NA><NA><NA>
3317000020233170257065000042021-08-31<NA>5제외/삭제/전출4타시군구이관<NA><NA><NA><NA>024602000<NA><NA>서울특별시 금천구 가산동 327-30서울특별시 금천구 가산디지털2로 24, 7층 701호 (가산동)08592(주)비츠로시스2023-09-07 21:23:14I2022-12-09 00:09:00.0<NA>189651.615396440972.741333<NA><NA>
4317000020233170257065000052023-12-01<NA>1영업/정상1영업중<NA><NA><NA><NA>05044785421<NA><NA><NA>광주광역시 동구 금남로 193-22, 2층 오피스-218호 (금남로4가)61472주식회사 모니트2023-12-04 09:54:36I2022-11-02 00:06:00.0<NA>192189.580006183615.122028<NA><NA>
5317000020223170235065000062022-06-23<NA>1영업/정상1영업중<NA><NA><NA><NA>02 69569942<NA><NA>서울특별시 금천구 가산동 60-3 대륭포스트타워 5차서울특별시 금천구 디지털로9길 68, 대륭포스트타워 5차 206-209호 (가산동)08512주식회사 이지차저2023-12-28 16:00:25U2022-11-01 21:00:00.0<NA>189877.178944442093.648597<NA><NA>
6317000020183170190065000062008-08-25<NA>1영업/정상1영업중<NA><NA><NA><NA>02 891 0181<NA><NA>서울특별시 금천구 시흥동 995-18서울특별시 금천구 시흥대로61길 31, 37 (시흥동)08632주식회사 후로우디지탈2023-12-28 15:59:53I2022-11-01 21:00:00.0<NA>190995.464736439055.761948<NA><NA>
7311000020073110111065000012007-04-05<NA>5제외/삭제/전출4타시군구이관<NA><NA><NA><NA>308 53324<NA>122-875서울특별시 은평구 수색동 293번지 31호서울특별시 은평구 수색로 390-11 (수색동)122-875우성산업계기2024-03-22 10:24:20I2023-12-02 22:04:00.0<NA>189739.366306454220.18065<NA><NA>
8317000020243170257065000052024-02-28<NA>1영업/정상1영업중<NA><NA><NA><NA>02 69569942<NA><NA>서울특별시 금천구 가산동 60-3 대륭포스트타워 5차서울특별시 금천구 디지털로9길 68, 대륭포스트타워 5차 지1층 B103호 (가산동)08512엘쓰리일렉트릭파워 주식회사2024-04-17 17:54:28U2023-12-03 23:09:00.0<NA>189877.178944442093.648597<NA><NA>
9317000020243170257065000072024-04-24<NA>1영업/정상1영업중<NA><NA><NA><NA>02 62650414<NA><NA>서울특별시 금천구 독산동 291-1 현대지식산업센터서울특별시 금천구 두산로 70, 현대지식산업센터 에이동 17층 1712호 (독산동)08584미래이에스피 주식회사2024-04-24 17:56:20I2023-12-03 22:06:00.0<NA>190694.880295440764.426278<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무소전화번호사업장전화번호
323170000201831701900650000520120109<NA>1영업/정상1영업중<NA><NA><NA><NA>02 20828282<NA><NA>서울특별시 금천구 가산동 505번지 14호 코오롱디지털타워애스턴 406호서울특별시 금천구 가산디지털1로 212, 코오롱디지털타워애스턴 406호 (가산동)08502주식회사 원티엘2018-12-21 09:50:23I2018-12-23 02:20:25.0<NA>189353.050638442493.02018302 20828282<NA>
333170000201831701900650000820030715<NA>1영업/정상1영업중<NA><NA><NA><NA>02 833 9871<NA><NA>서울특별시 금천구 시흥동 984 시흥유통상가서울특별시 금천구 시흥대로 97, 시흥유통상가 11동 130호 (시흥동)08639대정Scale2021-08-05 13:24:20U2021-08-07 02:40:00.0<NA>191226.287379437914.06299802 833 9871<NA>
343230000201232302310650000220120309<NA>1영업/정상1영업중<NA><NA><NA><NA>000205395228<NA><NA>서울특별시 송파구 문정동 632 가든파이브웍스서울특별시 송파구 충민로 52, 가든파이브웍스 B동 8층 816,817,818,819호 (문정동)05839(주)부민더블유엔피2021-06-02 14:31:18U2021-06-04 02:40:00.0<NA>210780.12618441730.920486000205395228<NA>
35611000020156110000910000120150603<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA>123456서울특별시 구로구 구로동 597번지 79호<NA><NA>조선계기사2015-06-11 14:21:55I2018-08-31 23:59:59.0<NA>189084.308724444367.505942<NA>226346468
363080000202230801690650000120220916<NA>1영업/정상1영업중<NA><NA><NA><NA>029877001<NA><NA><NA>서울특별시 강북구 덕릉로40길 74, 강북전자공단 201호 (번동)01138(주)티엠티엔지니어링2022-09-19 17:41:06I2021-12-08 22:01:00.0<NA>202886.755875459070.360829<NA><NA>
37303000020223030103065000022022-05-09<NA>1영업/정상1영업중<NA><NA><NA><NA>0269410609<NA><NA><NA>제주특별자치도 제주시 첨단로 330, 세미양빌딩 카이스트 친환경 스마트 자동차 연구센터 에이동 3층 (영평동)63309주식회사 타디스테크놀로지2023-10-20 10:33:38U2022-10-30 22:02:00.0<NA>160075.466551-5915.403524<NA><NA>
383170000199931702570650001319991030<NA>1영업/정상1영업중<NA><NA><NA><NA>02 20298283<NA><NA><NA>서울특별시 금천구 가산디지털2로 14, 대륭테크노타운12차 1002호 (가산동)08592두홍라이프 주식회사2022-11-08 15:47:29U2021-10-31 23:00:00.0<NA>189689.075505440822.815734<NA><NA>
393180000202231802390650000220221107<NA>1영업/정상1영업중<NA><NA><NA><NA>027161996<NA><NA>서울특별시 영등포구 양평동5가 39 선유도 우림라이온스밸리 A 806호서울특별시 영등포구 양평로 149, 선유도 우림라이온스밸리 A 806호 (양평동5가)07207(주)참슬테크2022-11-29 14:43:25U2021-11-02 00:01:00.0<NA>190345.543097448495.395437<NA><NA>
403180000202231802390650000120220706<NA>1영업/정상1영업중<NA><NA><NA><NA>18776546<NA><NA>서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티 2동 1901호서울특별시 영등포구 경인로 775, 에이스하이테크시티 2동 1901호 (문래동3가)07299한국전기차인프라기술(주)2022-12-19 11:24:27U2021-11-01 22:01:00.0<NA>190996.357289445841.377603<NA><NA>
413170000201831701900650000719981029<NA>1영업/정상1영업중<NA><NA><NA><NA>02 856 3332<NA><NA>서울특별시 금천구 가산동 234번지 6호서울특별시 금천구 두산로11길 55 (가산동)08521(주)경인계기2022-12-19 11:07:51I2021-11-01 22:01:00.0<NA>190534.848263441193.765656<NA><NA>