Overview

Dataset statistics

Number of variables33
Number of observations22
Missing cells307
Missing cells (%)42.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory291.0 B

Variable types

Categorical9
Numeric4
DateTime3
Unsupported12
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),업무구분,건축물명,건축물연면적,건축물상태명,청소대상시작일자,청소대상종료일자,휴업폐지사유,업무구분명
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19478/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (60.5%)Imbalance
업무구분 is highly imbalanced (73.3%)Imbalance
업무구분명 is highly imbalanced (73.3%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 15 (68.2%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 1 (4.5%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명주소 has 14 (63.6%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
건축물명 has 22 (100.0%) missing valuesMissing
건축물연면적 has 22 (100.0%) missing valuesMissing
건축물상태명 has 22 (100.0%) missing valuesMissing
청소대상시작일자 has 22 (100.0%) missing valuesMissing
청소대상종료일자 has 22 (100.0%) missing valuesMissing
휴업폐지사유 has 13 (59.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 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
소재지우편번호 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
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:18:49.721317
Analysis finished2024-04-06 12:18:50.463104
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3010000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3010000 22
100.0%

Length

2024-04-06T21:18:50.608010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:18:51.282146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 22
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0100003 × 1017
Minimum3.0100003 × 1017
Maximum3.0100003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T21:18:51.473772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0100003 × 1017
5-th percentile3.0100003 × 1017
Q13.0100003 × 1017
median3.0100003 × 1017
Q33.0100003 × 1017
95-th percentile3.0100003 × 1017
Maximum3.0100003 × 1017
Range2800000
Interquartile range (IQR)899968

Descriptive statistics

Standard deviation803842.22
Coefficient of variation (CV)2.6705719 × 10-12
Kurtosis-0.064111841
Mean3.0100003 × 1017
Median Absolute Deviation (MAD)549984
Skewness0.66775717
Sum6.6220007 × 1018
Variance6.4616231 × 1011
MonotonicityStrictly increasing
2024-04-06T21:18:51.740617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
301000031199500001 1
 
4.5%
301000031200500003 1
 
4.5%
301000031202300001 1
 
4.5%
301000031202000001 1
 
4.5%
301000031201600001 1
 
4.5%
301000031201300001 1
 
4.5%
301000031201200001 1
 
4.5%
301000031200800001 1
 
4.5%
301000031200700002 1
 
4.5%
301000031200700001 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
301000031199500001 1
4.5%
301000031199500002 1
4.5%
301000031199500003 1
4.5%
301000031199500004 1
4.5%
301000031199700001 1
4.5%
301000031199800001 1
4.5%
301000031200100001 1
4.5%
301000031200200001 1
4.5%
301000031200200002 1
4.5%
301000031200200003 1
4.5%
ValueCountFrequency (%)
301000031202300001 1
4.5%
301000031202000001 1
4.5%
301000031201600001 1
4.5%
301000031201300001 1
4.5%
301000031201200001 1
4.5%
301000031200800001 1
4.5%
301000031200700002 1
4.5%
301000031200700001 1
4.5%
301000031200600001 1
4.5%
301000031200500003 1
4.5%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2001-08-01 00:00:00
Maximum2020-12-18 00:00:00
2024-04-06T21:18:51.990850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:18:52.268210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
11 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 11
50.0%
3 11
50.0%

Length

2024-04-06T21:18:52.546522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:18:52.771016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
50.0%
3 11
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
11 
폐업
11 

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 11
50.0%
폐업 11
50.0%

Length

2024-04-06T21:18:52.994130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:18:53.224996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 11
50.0%
폐업 11
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
11
11 
2
11 

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row2
3rd row2
4th row11
5th row2

Common Values

ValueCountFrequency (%)
11 11
50.0%
2 11
50.0%

Length

2024-04-06T21:18:53.439188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:18:53.655595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 11
50.0%
2 11
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
정상
11 
폐업
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 11
50.0%
폐업 11
50.0%

Length

2024-04-06T21:18:53.879948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:18:54.071115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 11
50.0%
폐업 11
50.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing15
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean20146618
Minimum20101215
Maximum20191007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T21:18:54.265019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101215
5-th percentile20104127
Q120121018
median20160318
Q320165876
95-th percentile20184952
Maximum20191007
Range89792
Interquartile range (IQR)44858.5

Descriptive statistics

Standard deviation32976.858
Coefficient of variation (CV)0.0016368433
Kurtosis-1.3615925
Mean20146618
Median Absolute Deviation (MAD)29204
Skewness-0.23205208
Sum1.4102633 × 108
Variance1.0874732 × 109
MonotonicityNot monotonic
2024-04-06T21:18:54.499190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20131114 1
 
4.5%
20191007 1
 
4.5%
20110922 1
 
4.5%
20160928 1
 
4.5%
20101215 1
 
4.5%
20170825 1
 
4.5%
20160318 1
 
4.5%
(Missing) 15
68.2%
ValueCountFrequency (%)
20101215 1
4.5%
20110922 1
4.5%
20131114 1
4.5%
20160318 1
4.5%
20160928 1
4.5%
20170825 1
4.5%
20191007 1
4.5%
ValueCountFrequency (%)
20191007 1
4.5%
20170825 1
4.5%
20160928 1
4.5%
20160318 1
4.5%
20131114 1
4.5%
20110922 1
4.5%
20101215 1
4.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-04-06T21:18:54.791297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.761905
Min length8

Characters and Unicode

Total characters226
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

Unique19 ?
Unique (%)90.5%

Sample

1st row2269-2802
2nd row02-2237-7480
3rd row02-2231-8981
4th row02-756-8262
5th row02-2233-0111
ValueCountFrequency (%)
02-730-1912 2
 
9.5%
02-2237-7480 1
 
4.8%
02-3407-5710 1
 
4.8%
02-828-3943 1
 
4.8%
774-4622 1
 
4.8%
734-1181 1
 
4.8%
02-3407-5700 1
 
4.8%
2265-0112 1
 
4.8%
02-2235-4047 1
 
4.8%
2269-2802 1
 
4.8%
Other values (10) 10
47.6%
2024-04-06T21:18:55.459500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 46
20.4%
- 35
15.5%
0 33
14.6%
7 25
11.1%
1 18
 
8.0%
3 16
 
7.1%
4 13
 
5.8%
8 13
 
5.8%
9 10
 
4.4%
6 9
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
84.5%
Dash Punctuation 35
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
24.1%
0 33
17.3%
7 25
13.1%
1 18
 
9.4%
3 16
 
8.4%
4 13
 
6.8%
8 13
 
6.8%
9 10
 
5.2%
6 9
 
4.7%
5 8
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 46
20.4%
- 35
15.5%
0 33
14.6%
7 25
11.1%
1 18
 
8.0%
3 16
 
7.1%
4 13
 
5.8%
8 13
 
5.8%
9 10
 
4.4%
6 9
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 46
20.4%
- 35
15.5%
0 33
14.6%
7 25
11.1%
1 18
 
8.0%
3 16
 
7.1%
4 13
 
5.8%
8 13
 
5.8%
9 10
 
4.4%
6 9
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T21:18:55.907790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length26.045455
Min length19

Characters and Unicode

Total characters573
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 신당동 142-5
2nd row서울특별시 중구 신당동 142-5 성환빌딩 A동 401호
3rd row서울특별시 중구 신당동 340-44 약신빌딩 2층
4th row서울특별시 중구 광희동2가 43-1
5th row서울특별시 중구 신당동 413-3
ValueCountFrequency (%)
서울특별시 22
18.5%
중구 22
18.5%
신당동 8
 
6.7%
142-5 3
 
2.5%
쌍림동 2
 
1.7%
충무로2가 2
 
1.7%
151-11 2
 
1.7%
성환빌딩 2
 
1.7%
제성빌딩 1
 
0.8%
황학동 1
 
0.8%
Other values (54) 54
45.4%
2024-04-06T21:18:56.700167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
19.5%
1 30
 
5.2%
별 23
 
4.0%
시 23
 
4.0%
서 22
 
3.8%
구 22
 
3.8%
동 22
 
3.8%
울 22
 
3.8%
중 22
 
3.8%
특 22
 
3.8%
Other values (69) 253
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
54.6%
Decimal Number 119
 
20.8%
Space Separator 112
 
19.5%
Dash Punctuation 19
 
3.3%
Other Punctuation 6
 
1.0%
Uppercase Letter 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
별 23
 
7.3%
시 23
 
7.3%
서 22
 
7.0%
구 22
 
7.0%
동 22
 
7.0%
울 22
 
7.0%
중 22
 
7.0%
특 22
 
7.0%
빌 11
 
3.5%
딩 11
 
3.5%
Other values (51) 113
36.1%
Decimal Number
ValueCountFrequency (%)
1 30
25.2%
2 20
16.8%
0 15
12.6%
4 15
12.6%
5 13
10.9%
3 12
 
10.1%
6 5
 
4.2%
7 4
 
3.4%
9 3
 
2.5%
8 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
* 5
83.3%
, 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
54.6%
Common 258
45.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
별 23
 
7.3%
시 23
 
7.3%
서 22
 
7.0%
구 22
 
7.0%
동 22
 
7.0%
울 22
 
7.0%
중 22
 
7.0%
특 22
 
7.0%
빌 11
 
3.5%
딩 11
 
3.5%
Other values (51) 113
36.1%
Common
ValueCountFrequency (%)
112
43.4%
1 30
 
11.6%
2 20
 
7.8%
- 19
 
7.4%
0 15
 
5.8%
4 15
 
5.8%
5 13
 
5.0%
3 12
 
4.7%
6 5
 
1.9%
* 5
 
1.9%
Other values (6) 12
 
4.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
54.6%
ASCII 260
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
43.1%
1 30
 
11.5%
2 20
 
7.7%
- 19
 
7.3%
0 15
 
5.8%
4 15
 
5.8%
5 13
 
5.0%
3 12
 
4.6%
6 5
 
1.9%
* 5
 
1.9%
Other values (8) 14
 
5.4%
Hangul
ValueCountFrequency (%)
별 23
 
7.3%
시 23
 
7.3%
서 22
 
7.0%
구 22
 
7.0%
동 22
 
7.0%
울 22
 
7.0%
중 22
 
7.0%
특 22
 
7.0%
빌 11
 
3.5%
딩 11
 
3.5%
Other values (51) 113
36.1%

도로명주소
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing14
Missing (%)63.6%
Memory size308.0 B
2024-04-06T21:18:57.079197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36.5
Mean length34.25
Min length23

Characters and Unicode

Total characters274
Distinct characters65
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

Unique8 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 퇴계로88길 20, B동 406호 (신당동, 대신빌딩)
2nd row서울특별시 중구 동호로 201, 제성빌딩 3층 (신당동)
3rd row서울특별시 중구 퇴계로 286, 701호 (쌍림동, 쌍림빌딩)
4th row서울특별시 중구 퇴계로 447, 205, 305호 (황학동, 황학아크로타워)
5th row서울특별시 중구 칠패로 36 (봉래동1가)
ValueCountFrequency (%)
서울특별시 8
 
14.5%
중구 8
 
14.5%
퇴계로 2
 
3.6%
신당동 2
 
3.6%
청계천로 2
 
3.6%
흥국생명빌딩 1
 
1.8%
칠패로 1
 
1.8%
36 1
 
1.8%
봉래동1가 1
 
1.8%
160 1
 
1.8%
Other values (28) 28
50.9%
2024-04-06T21:18:57.923618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
17.2%
, 13
 
4.7%
0 11
 
4.0%
로 10
 
3.6%
시 9
 
3.3%
동 9
 
3.3%
서 8
 
2.9%
) 8
 
2.9%
( 8
 
2.9%
울 8
 
2.9%
Other values (55) 143
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
55.8%
Space Separator 47
 
17.2%
Decimal Number 42
 
15.3%
Other Punctuation 15
 
5.5%
Close Punctuation 8
 
2.9%
Open Punctuation 8
 
2.9%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 10
 
6.5%
시 9
 
5.9%
동 9
 
5.9%
서 8
 
5.2%
울 8
 
5.2%
구 8
 
5.2%
중 8
 
5.2%
별 8
 
5.2%
특 8
 
5.2%
계 6
 
3.9%
Other values (39) 71
46.4%
Decimal Number
ValueCountFrequency (%)
0 11
26.2%
2 7
16.7%
1 6
14.3%
6 4
 
9.5%
3 3
 
7.1%
4 3
 
7.1%
8 3
 
7.1%
5 2
 
4.8%
7 2
 
4.8%
9 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 13
86.7%
* 2
 
13.3%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
55.8%
Common 120
43.8%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 10
 
6.5%
시 9
 
5.9%
동 9
 
5.9%
서 8
 
5.2%
울 8
 
5.2%
구 8
 
5.2%
중 8
 
5.2%
별 8
 
5.2%
특 8
 
5.2%
계 6
 
3.9%
Other values (39) 71
46.4%
Common
ValueCountFrequency (%)
47
39.2%
, 13
 
10.8%
0 11
 
9.2%
) 8
 
6.7%
( 8
 
6.7%
2 7
 
5.8%
1 6
 
5.0%
6 4
 
3.3%
3 3
 
2.5%
4 3
 
2.5%
Other values (5) 10
 
8.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
55.8%
ASCII 121
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
38.8%
, 13
 
10.7%
0 11
 
9.1%
) 8
 
6.6%
( 8
 
6.6%
2 7
 
5.8%
1 6
 
5.0%
6 4
 
3.3%
3 3
 
2.5%
4 3
 
2.5%
Other values (6) 11
 
9.1%
Hangul
ValueCountFrequency (%)
로 10
 
6.5%
시 9
 
5.9%
동 9
 
5.9%
서 8
 
5.2%
울 8
 
5.2%
구 8
 
5.2%
중 8
 
5.2%
별 8
 
5.2%
특 8
 
5.2%
계 6
 
3.9%
Other values (39) 71
46.4%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
19 
4598
 
1
4542
 
1
4526
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)13.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
86.4%
4598 1
 
4.5%
4542 1
 
4.5%
4526 1
 
4.5%

Length

2024-04-06T21:18:58.186430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:18:58.404281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
86.4%
4598 1
 
4.5%
4542 1
 
4.5%
4526 1
 
4.5%

사업장명
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-06T21:18:58.757593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.2727273
Min length3

Characters and Unicode

Total characters160
Distinct characters68
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row한국방역청조기업
2nd row신일공영
3rd row(주)아이비에스인더스트리
4th row동아소역(주)
5th row동원공조테크(주)
ValueCountFrequency (%)
주)벅스헌터 2
 
9.1%
주)인플러스 2
 
9.1%
한국방역청조기업 1
 
4.5%
신일공영 1
 
4.5%
주)클리어존 1
 
4.5%
유디코 1
 
4.5%
주)연학산업 1
 
4.5%
주)청우티에스 1
 
4.5%
주)케이에스씨네트?p 1
 
4.5%
주)매경씨앤비 1
 
4.5%
Other values (10) 10
45.5%
2024-04-06T21:18:59.417461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 17
 
10.6%
( 16
 
10.0%
) 16
 
10.0%
스 8
 
5.0%
업 4
 
2.5%
산 4
 
2.5%
경 3
 
1.9%
인 3
 
1.9%
이 3
 
1.9%
에 3
 
1.9%
Other values (58) 83
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
78.8%
Open Punctuation 16
 
10.0%
Close Punctuation 16
 
10.0%
Other Punctuation 1
 
0.6%
Lowercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
13.5%
스 8
 
6.3%
업 4
 
3.2%
산 4
 
3.2%
경 3
 
2.4%
인 3
 
2.4%
이 3
 
2.4%
에 3
 
2.4%
역 3
 
2.4%
한 3
 
2.4%
Other values (54) 75
59.5%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
78.8%
Common 33
 
20.6%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
13.5%
스 8
 
6.3%
업 4
 
3.2%
산 4
 
3.2%
경 3
 
2.4%
인 3
 
2.4%
이 3
 
2.4%
에 3
 
2.4%
역 3
 
2.4%
한 3
 
2.4%
Other values (54) 75
59.5%
Common
ValueCountFrequency (%)
( 16
48.5%
) 16
48.5%
? 1
 
3.0%
Latin
ValueCountFrequency (%)
p 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
78.8%
ASCII 34
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 17
 
13.5%
스 8
 
6.3%
업 4
 
3.2%
산 4
 
3.2%
경 3
 
2.4%
인 3
 
2.4%
이 3
 
2.4%
에 3
 
2.4%
역 3
 
2.4%
한 3
 
2.4%
Other values (54) 75
59.5%
ASCII
ValueCountFrequency (%)
( 16
47.1%
) 16
47.1%
? 1
 
2.9%
p 1
 
2.9%

최종수정일자
Date

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2015-01-05 21:10:34
Maximum2023-02-27 10:00:52
2024-04-06T21:18:59.617965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:18:59.814977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
18 
U
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
81.8%
U 4
 
18.2%

Length

2024-04-06T21:19:00.018701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:00.229715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
81.8%
u 4
 
18.2%

데이터갱신일자
Date

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 00:01:00
2024-04-06T21:19:00.414700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:00.642832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199868.37
Minimum197174.59
Maximum201866.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T21:19:00.861685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197174.59
5-th percentile197501.06
Q1198814.18
median200247.1
Q3200998.26
95-th percentile201775.68
Maximum201866.04
Range4691.448
Interquartile range (IQR)2184.086

Descriptive statistics

Standard deviation1551.8409
Coefficient of variation (CV)0.007764315
Kurtosis-1.1915545
Mean199868.37
Median Absolute Deviation (MAD)1265.4799
Skewness-0.35859673
Sum4397104.1
Variance2408210.3
MonotonicityNot monotonic
2024-04-06T21:19:01.092288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
201775.682523178 3
 
13.6%
200247.098067944 2
 
9.1%
201059.342075001 1
 
4.5%
197848.757122264 1
 
4.5%
198916.653480187 1
 
4.5%
199521.200809167 1
 
4.5%
197500.916963067 1
 
4.5%
201866.039519433 1
 
4.5%
198780.018679349 1
 
4.5%
197174.591536243 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
197174.591536243 1
4.5%
197500.916963067 1
4.5%
197503.750681835 1
4.5%
197848.757122264 1
4.5%
198118.88012816 1
4.5%
198780.018679349 1
4.5%
198916.653480187 1
4.5%
199046.582830842 1
4.5%
199521.200809167 1
4.5%
199575.27687162 1
4.5%
ValueCountFrequency (%)
201866.039519433 1
 
4.5%
201775.682523178 3
13.6%
201384.456643466 1
 
4.5%
201059.342075001 1
 
4.5%
200815.027375705 1
 
4.5%
200764.635615017 1
 
4.5%
200759.522717827 1
 
4.5%
200647.159357664 1
 
4.5%
200247.098067944 2
9.1%
199575.27687162 1
 
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451215.62
Minimum450397.03
Maximum451751.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-06T21:19:01.337338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450397.03
5-th percentile450525.78
Q1450962.63
median451345.98
Q3451534.45
95-th percentile451694.57
Maximum451751.42
Range1354.3955
Interquartile range (IQR)571.82522

Descriptive statistics

Standard deviation402.12578
Coefficient of variation (CV)0.00089120536
Kurtosis-0.75110816
Mean451215.62
Median Absolute Deviation (MAD)299.10448
Skewness-0.57048979
Sum9926743.5
Variance161705.14
MonotonicityNot monotonic
2024-04-06T21:19:01.599906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
451396.878132704 3
 
13.6%
451193.482960446 2
 
9.1%
450517.287677482 1
 
4.5%
450946.909092364 1
 
4.5%
451694.842893728 1
 
4.5%
451751.424132583 1
 
4.5%
450801.784530954 1
 
4.5%
451543.337800303 1
 
4.5%
451009.773589561 1
 
4.5%
451689.373973032 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
450397.028682292 1
4.5%
450517.287677482 1
4.5%
450687.087566776 1
4.5%
450702.71068363 1
4.5%
450801.784530954 1
4.5%
450946.909092364 1
4.5%
451009.773589561 1
4.5%
451016.153943197 1
4.5%
451193.482960446 2
9.1%
451334.342960082 1
4.5%
ValueCountFrequency (%)
451751.424132583 1
 
4.5%
451694.842893728 1
 
4.5%
451689.373973032 1
 
4.5%
451614.362900051 1
 
4.5%
451594.113187289 1
 
4.5%
451543.337800303 1
 
4.5%
451507.788365212 1
 
4.5%
451396.878132704 3
13.6%
451357.621131056 1
 
4.5%
451334.342960082 1
 
4.5%

업무구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
31
21 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0909091
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 21
95.5%
<NA> 1
 
4.5%

Length

2024-04-06T21:19:01.871212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:02.079736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 21
95.5%
na 1
 
4.5%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

건축물연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업폐지사유
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing13
Missing (%)59.1%
Memory size308.0 B
2024-04-06T21:19:02.338891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length9
Mean length7
Min length2

Characters and Unicode

Total characters63
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)77.8%

Sample

1st row폐업
2nd row회사사정
3rd row청소업 폐업
4th row타구이전
5th row소재지 변경(중랑구 신내동 478-4)
ValueCountFrequency (%)
타구이전 2
11.8%
폐업 2
11.8%
소재지 2
11.8%
이전 2
11.8%
회사사정 1
 
5.9%
청소업 1
 
5.9%
변경(중랑구 1
 
5.9%
신내동 1
 
5.9%
478-4 1
 
5.9%
사업장 1
 
5.9%
Other values (3) 3
17.6%
2024-04-06T21:19:02.916487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
12.7%
이 5
 
7.9%
전 4
 
6.3%
업 4
 
6.3%
소 4
 
6.3%
구 3
 
4.8%
사 3
 
4.8%
4 2
 
3.2%
경 2
 
3.2%
지 2
 
3.2%
Other values (23) 26
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48
76.2%
Space Separator 8
 
12.7%
Decimal Number 4
 
6.3%
Close Punctuation 1
 
1.6%
Dash Punctuation 1
 
1.6%
Open Punctuation 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
10.4%
전 4
 
8.3%
업 4
 
8.3%
소 4
 
8.3%
구 3
 
6.2%
사 3
 
6.2%
경 2
 
4.2%
지 2
 
4.2%
재 2
 
4.2%
타 2
 
4.2%
Other values (16) 17
35.4%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
8 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48
76.2%
Common 15
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
10.4%
전 4
 
8.3%
업 4
 
8.3%
소 4
 
8.3%
구 3
 
6.2%
사 3
 
6.2%
경 2
 
4.2%
지 2
 
4.2%
재 2
 
4.2%
타 2
 
4.2%
Other values (16) 17
35.4%
Common
ValueCountFrequency (%)
8
53.3%
4 2
 
13.3%
) 1
 
6.7%
- 1
 
6.7%
8 1
 
6.7%
7 1
 
6.7%
( 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48
76.2%
ASCII 15
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
53.3%
4 2
 
13.3%
) 1
 
6.7%
- 1
 
6.7%
8 1
 
6.7%
7 1
 
6.7%
( 1
 
6.7%
Hangul
ValueCountFrequency (%)
이 5
 
10.4%
전 4
 
8.3%
업 4
 
8.3%
소 4
 
8.3%
구 3
 
6.2%
사 3
 
6.2%
경 2
 
4.2%
지 2
 
4.2%
재 2
 
4.2%
타 2
 
4.2%
Other values (16) 17
35.4%

업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
저수조청소업
21 
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9090909
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 21
95.5%
<NA> 1
 
4.5%

Length

2024-04-06T21:19:03.216537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:03.440768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 21
95.5%
na 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0301000030100003119950000120150902<NA>1영업/정상11정상<NA><NA><NA><NA>2269-2802<NA><NA>서울특별시 중구 신당동 142-5서울특별시 중구 퇴계로88길 20, B동 406호 (신당동, 대신빌딩)<NA>한국방역청조기업2018-05-03 17:42:35I2018-08-31 23:59:59.0<NA>201775.682523451396.87813331<NA><NA><NA><NA><NA><NA>저수조청소업
1301000030100003119950000220040514<NA>3폐업2폐업<NA><NA><NA><NA>02-2237-7480<NA><NA>서울특별시 중구 신당동 142-5 성환빌딩 A동 401호<NA><NA>신일공영2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>201775.682523451396.87813331<NA><NA><NA><NA><NA>폐업저수조청소업
2301000030100003119950000320131114<NA>3폐업2폐업20131114<NA><NA><NA>02-2231-8981<NA><NA>서울특별시 중구 신당동 340-44 약신빌딩 2층<NA><NA>(주)아이비에스인더스트리2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>201059.342075450517.28767731<NA><NA><NA><NA><NA>회사사정저수조청소업
3301000030100003119950000420090828<NA>1영업/정상11정상<NA><NA><NA><NA>02-756-8262<NA><NA>서울특별시 중구 광희동2가 43-1<NA><NA>동아소역(주)2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>200647.159358451357.62113131<NA><NA><NA><NA><NA><NA>저수조청소업
4301000030100003119970000120050526<NA>3폐업2폐업20191007<NA><NA><NA>02-2233-0111<NA><NA>서울특별시 중구 신당동 413-3<NA><NA>동원공조테크(주)2019-10-07 14:14:12U2019-10-09 02:40:00.0<NA>200815.027376450687.08756731<NA><NA><NA><NA><NA>청소업 폐업저수조청소업
5301000030100003119980000120110922<NA>3폐업2폐업20110922<NA><NA><NA>02-776-8666<NA><NA>서울특별시 중구 을지로1가 32 효덕빌딩 902호<NA><NA>한국코라드(주)2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>198118.880128451614.362931<NA><NA><NA><NA><NA>타구이전저수조청소업
6301000030100003120010000120010801<NA>1영업/정상11정상<NA><NA><NA><NA>02-2277-9255<NA><NA>서울특별시 중구 을지로4가 302-1 광덕빌딩 601호<NA><NA>기윤건설(주)2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>199575.276872451507.78836531<NA><NA><NA><NA><NA><NA>저수조청소업
7301000030100003120020000120040510<NA>3폐업2폐업<NA><NA><NA><NA>02-774-1429<NA><NA>서울특별시 중구 정동 1-11 센타빌딩 별관동 202호<NA><NA>한성건설산업(주)2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>197503.750682451594.11318731<NA><NA><NA><NA><NA>소재지 변경(중랑구 신내동 478-4)저수조청소업
8301000030100003120020000220040604<NA>1영업/정상11정상<NA><NA><NA><NA>031-749-9788<NA><NA>서울특별시 중구 신당동 101-7 동원빌딩 201호<NA><NA>이레산업환경개발2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>201384.456643451334.3429631<NA><NA><NA><NA><NA><NA>저수조청소업
9301000030100003120020000320060104<NA>3폐업2폐업<NA><NA><NA><NA>02-2275-7003<NA><NA>서울특별시 중구 충무로2가 52-10<NA><NA>우진용역2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>199046.582831451016.15394331<NA><NA><NA><NA><NA>사업장 이전저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
12301000030100003120050000320200331<NA>1영업/정상11정상<NA><NA><NA><NA>02-2235-4047<NA><NA>서울특별시 중구 신당동 358-6 제성빌딩서울특별시 중구 동호로 201, 제성빌딩 3층 (신당동)4598(주)매경씨앤비2020-04-01 09:12:43U2020-04-03 02:40:00.0<NA>200764.635615450397.02868231<NA><NA><NA><NA><NA><NA>저수조청소업
13301000030100003120060000120060918<NA>1영업/정상11정상<NA><NA><NA><NA>2265-0112<NA><NA>서울특별시 중구 쌍림동 151-11 503호<NA><NA>(주)케이에스씨네트?p2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>200247.098068451193.4829631<NA><NA><NA><NA><NA><NA>저수조청소업
14301000030100003120070000120130326<NA>1영업/정상11정상<NA><NA><NA><NA>02-730-1912<NA><NA>서울특별시 중구 쌍림동 151-11서울특별시 중구 퇴계로 286, 701호 (쌍림동, 쌍림빌딩)<NA>(주)벅스헌터2015-07-14 09:48:01I2018-08-31 23:59:59.0<NA>200247.098068451193.4829631<NA><NA><NA><NA><NA><NA>저수조청소업
15301000030100003120070000220070221<NA>3폐업2폐업20160928<NA><NA><NA>02-730-1912<NA><NA>서울특별시 중구 충정로1가 58-3 청양빌딩 4층<NA><NA>(주)벅스헌터2016-09-28 17:18:47I2018-08-31 23:59:59.0<NA>197174.591536451689.37397331<NA><NA><NA><NA><NA>경영상의 이유저수조청소업
16301000030100003120080000120101215<NA>3폐업2폐업20101215<NA><NA><NA>02-3407-5700<NA><NA>서울특별시 중구 충무로2가 62-12 명동주차타워 11층<NA><NA>(주)인플러스2015-01-05 21:10:34I2018-08-31 23:59:59.0<NA>198780.018679451009.7735931<NA><NA><NA><NA><NA>소재지 주소 이전저수조청소업
17301000030100003120120000120141117<NA>3폐업2폐업20170825<NA><NA><NA>734-1181<NA><NA>서울특별시 중구 황학동 2523 황학아크로타워 205, 305호서울특별시 중구 퇴계로 447, 205, 305호 (황학동, 황학아크로타워)<NA>(주)청우티에스2017-08-25 09:21:06I2018-08-31 23:59:59.0<NA>201866.039519451543.337831<NA><NA><NA><NA><NA><NA>저수조청소업
18301000030100003120130000120131122<NA>3폐업2폐업20160318<NA><NA><NA>774-4622<NA><NA>서울특별시 중구 봉래동1가 47-6서울특별시 중구 칠패로 36 (봉래동1가)<NA>(주)연학산업2016-03-18 14:44:18I2018-08-31 23:59:59.0<NA>197500.916963450801.78453131<NA><NA><NA><NA><NA><NA>저수조청소업
19301000030100003120160000120160512<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 산림동 207-1서울특별시 중구 청계천로 160, 2층 209,210호 (산림동, 청계상가)<NA>유디코2021-05-25 09:43:48U2021-05-27 02:40:00.0<NA>199521.200809451751.42413331<NA><NA><NA><NA><NA><NA>저수조청소업
20301000030100003120200000120201218<NA>1영업/정상11정상<NA><NA><NA><NA>02-828-3943<NA><NA>서울특별시 중구 수표동 99 시그니쳐타워(동관 6층)서울특별시 중구 청계천로 100, 시그니쳐타워 (수표동)4542(주)클리어존2020-12-18 14:39:55I2020-12-20 00:23:06.0<NA>198916.65348451694.84289431<NA><NA><NA><NA><NA><NA>저수조청소업
2130100003010000312023000012017-12-04<NA>1영업/정상11정상<NA><NA><NA><NA>027902887<NA><NA>서울특별시 중구 남대문로*가 **-** 흥국생명빌딩서울특별시 중구 남대문로 *, 흥국생명빌딩 (남대문로*가)4526(주)안주2023-02-27 10:00:52U2022-12-03 00:01:00.0<NA>197848.757122450946.909092<NA><NA><NA><NA><NA><NA><NA><NA>