Overview

Dataset statistics

Number of variables56
Number of observations51
Missing cells1416
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory487.6 B

Variable types

Categorical18
Text10
DateTime3
Unsupported23
Numeric2

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),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17863/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (53.7%)Imbalance
문화사업자구분명 is highly imbalanced (53.7%)Imbalance
총층수 is highly imbalanced (76.2%)Imbalance
시설면적 is highly imbalanced (63.3%)Imbalance
지상층수 is highly imbalanced (69.4%)Imbalance
지하층수 is highly imbalanced (70.0%)Imbalance
통로너비 is highly imbalanced (86.1%)Imbalance
조명시설조도 is highly imbalanced (86.1%)Imbalance
노래방실수 is highly imbalanced (86.1%)Imbalance
청소년실수 is highly imbalanced (86.1%)Imbalance
총게임기수 is highly imbalanced (86.1%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 36 (70.6%) missing valuesMissing
휴업시작일자 has 51 (100.0%) missing valuesMissing
휴업종료일자 has 51 (100.0%) missing valuesMissing
재개업일자 has 51 (100.0%) missing valuesMissing
전화번호 has 18 (35.3%) missing valuesMissing
소재지면적 has 51 (100.0%) missing valuesMissing
소재지우편번호 has 20 (39.2%) missing valuesMissing
지번주소 has 1 (2.0%) missing valuesMissing
도로명주소 has 4 (7.8%) missing valuesMissing
도로명우편번호 has 17 (33.3%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
주변환경명 has 49 (96.1%) missing valuesMissing
제작취급품목내용 has 51 (100.0%) missing valuesMissing
건물용도명 has 47 (92.2%) missing valuesMissing
비상계단여부 has 51 (100.0%) missing valuesMissing
비상구여부 has 51 (100.0%) missing valuesMissing
자동환기여부 has 51 (100.0%) missing valuesMissing
청소년실여부 has 51 (100.0%) missing valuesMissing
특수조명여부 has 51 (100.0%) missing valuesMissing
방음시설여부 has 51 (100.0%) missing valuesMissing
비디오재생기명 has 51 (100.0%) missing valuesMissing
조명시설유무 has 51 (100.0%) missing valuesMissing
음향시설여부 has 51 (100.0%) missing valuesMissing
편의시설여부 has 51 (100.0%) missing valuesMissing
소방시설여부 has 51 (100.0%) missing valuesMissing
기존게임업외업종명 has 51 (100.0%) missing valuesMissing
제공게임물명 has 51 (100.0%) missing valuesMissing
공연장형태구분명 has 51 (100.0%) missing valuesMissing
품목명 has 51 (100.0%) missing valuesMissing
최초등록시점 has 51 (100.0%) missing valuesMissing
지역구분명 has 49 (96.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:44:30.727051
Analysis finished2024-05-11 06:44:31.654738
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3110000
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 51
100.0%

Length

2024-05-11T15:44:32.112958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:32.302792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 51
100.0%

관리번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T15:44:32.566835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1020
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001975000001
2nd rowCDFG1252001980000001
3rd rowCDFG1252001995000001
4th rowCDFG1252001995000002
5th rowCDFG1252002002000001
ValueCountFrequency (%)
cdfg1252001975000001 1
 
2.0%
cdfg1252002013000002 1
 
2.0%
cdfg1252002013000004 1
 
2.0%
cdfg1252002013000005 1
 
2.0%
cdfg1252002014000001 1
 
2.0%
cdfg1252002014000003 1
 
2.0%
cdfg1252002014000004 1
 
2.0%
cdfg1252002015000001 1
 
2.0%
cdfg1252002015000002 1
 
2.0%
cdfg1252002016000001 1
 
2.0%
Other values (41) 41
80.4%
2024-05-11T15:44:33.081243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 425
41.7%
2 178
17.5%
1 106
 
10.4%
5 62
 
6.1%
C 51
 
5.0%
D 51
 
5.0%
F 51
 
5.0%
G 51
 
5.0%
3 15
 
1.5%
4 11
 
1.1%
Other values (4) 19
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 816
80.0%
Uppercase Letter 204
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
52.1%
2 178
21.8%
1 106
 
13.0%
5 62
 
7.6%
3 15
 
1.8%
4 11
 
1.3%
6 7
 
0.9%
9 6
 
0.7%
7 5
 
0.6%
8 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 51
25.0%
D 51
25.0%
F 51
25.0%
G 51
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
80.0%
Latin 204
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 425
52.1%
2 178
21.8%
1 106
 
13.0%
5 62
 
7.6%
3 15
 
1.8%
4 11
 
1.3%
6 7
 
0.9%
9 6
 
0.7%
7 5
 
0.6%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
C 51
25.0%
D 51
25.0%
F 51
25.0%
G 51
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 425
41.7%
2 178
17.5%
1 106
 
10.4%
5 62
 
6.1%
C 51
 
5.0%
D 51
 
5.0%
F 51
 
5.0%
G 51
 
5.0%
3 15
 
1.5%
4 11
 
1.1%
Other values (4) 19
 
1.9%

인허가일자
Date

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum1975-06-25 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T15:44:33.274519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:33.429282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
35 
3
14 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row1
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 35
68.6%
3 14
 
27.5%
4 1
 
2.0%
5 1
 
2.0%

Length

2024-05-11T15:44:33.601913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:33.744297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
68.6%
3 14
 
27.5%
4 1
 
2.0%
5 1
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업/정상
35 
폐업
14 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.4117647
Min length2

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row영업/정상
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 35
68.6%
폐업 14
 
27.5%
취소/말소/만료/정지/중지 1
 
2.0%
제외/삭제/전출 1
 
2.0%

Length

2024-05-11T15:44:33.899216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:34.045658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 35
68.6%
폐업 14
 
27.5%
취소/말소/만료/정지/중지 1
 
2.0%
제외/삭제/전출 1
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
13
35 
3
14 
30
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.7254902
Min length1

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row13
2nd row30
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 35
68.6%
3 14
 
27.5%
30 1
 
2.0%
15 1
 
2.0%

Length

2024-05-11T15:44:34.199064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:34.374270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 35
68.6%
3 14
 
27.5%
30 1
 
2.0%
15 1
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업중
35 
폐업
14 
허가취소
 
1
전출
 
1

Length

Max length4
Median length3
Mean length2.7254902
Min length2

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 35
68.6%
폐업 14
 
27.5%
허가취소 1
 
2.0%
전출 1
 
2.0%

Length

2024-05-11T15:44:34.588351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:34.793859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 35
68.6%
폐업 14
 
27.5%
허가취소 1
 
2.0%
전출 1
 
2.0%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing36
Missing (%)70.6%
Memory size540.0 B
Minimum2000-03-29 00:00:00
Maximum2023-08-21 00:00:00
2024-05-11T15:44:34.915143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:35.078566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

전화번호
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing18
Missing (%)35.3%
Memory size540.0 B
2024-05-11T15:44:35.342901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.8484848
Min length1

Characters and Unicode

Total characters325
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

Unique33 ?
Unique (%)100.0%

Sample

1st row359-3191
2nd row355-1418
3rd row0-0
4th row389-3831
5th row3548-321
ValueCountFrequency (%)
308-5400 1
 
3.0%
02-3662-8200 1
 
3.0%
02-2285-3706 1
 
3.0%
02-2261-0227 1
 
3.0%
02-359-2230 1
 
3.0%
02-373-4111 1
 
3.0%
02-718-1800 1
 
3.0%
02-2661-0227 1
 
3.0%
02-373-3421 1
 
3.0%
02-2272-7400 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T15:44:35.818246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 52
16.0%
- 50
15.4%
0 48
14.8%
3 38
11.7%
1 30
9.2%
7 27
8.3%
8 17
 
5.2%
5 17
 
5.2%
4 17
 
5.2%
6 17
 
5.2%
Other values (2) 12
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 274
84.3%
Dash Punctuation 50
 
15.4%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
19.0%
0 48
17.5%
3 38
13.9%
1 30
10.9%
7 27
9.9%
8 17
 
6.2%
5 17
 
6.2%
4 17
 
6.2%
6 17
 
6.2%
9 11
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 52
16.0%
- 50
15.4%
0 48
14.8%
3 38
11.7%
1 30
9.2%
7 27
8.3%
8 17
 
5.2%
5 17
 
5.2%
4 17
 
5.2%
6 17
 
5.2%
Other values (2) 12
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 52
16.0%
- 50
15.4%
0 48
14.8%
3 38
11.7%
1 30
9.2%
7 27
8.3%
8 17
 
5.2%
5 17
 
5.2%
4 17
 
5.2%
6 17
 
5.2%
Other values (2) 12
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지우편번호
Text

MISSING 

Distinct25
Distinct (%)80.6%
Missing20
Missing (%)39.2%
Memory size540.0 B
2024-05-11T15:44:36.104818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0322581
Min length6

Characters and Unicode

Total characters187
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 (%)67.7%

Sample

1st row122858
2nd row122839
3rd row122200
4th row122947
5th row122845
ValueCountFrequency (%)
122891 3
 
9.7%
122842 3
 
9.7%
122200 2
 
6.5%
122924 2
 
6.5%
122840 1
 
3.2%
122858 1
 
3.2%
122011 1
 
3.2%
122834 1
 
3.2%
122907 1
 
3.2%
122909 1
 
3.2%
Other values (15) 15
48.4%
2024-05-11T15:44:36.636947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 71
38.0%
1 41
21.9%
8 20
 
10.7%
9 20
 
10.7%
0 11
 
5.9%
4 10
 
5.3%
7 5
 
2.7%
5 3
 
1.6%
3 3
 
1.6%
6 2
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 71
38.2%
1 41
22.0%
8 20
 
10.8%
9 20
 
10.8%
0 11
 
5.9%
4 10
 
5.4%
7 5
 
2.7%
5 3
 
1.6%
3 3
 
1.6%
6 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 71
38.0%
1 41
21.9%
8 20
 
10.7%
9 20
 
10.7%
0 11
 
5.9%
4 10
 
5.3%
7 5
 
2.7%
5 3
 
1.6%
3 3
 
1.6%
6 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 71
38.0%
1 41
21.9%
8 20
 
10.7%
9 20
 
10.7%
0 11
 
5.9%
4 10
 
5.3%
7 5
 
2.7%
5 3
 
1.6%
3 3
 
1.6%
6 2
 
1.1%

지번주소
Text

MISSING 

Distinct45
Distinct (%)90.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2024-05-11T15:44:36.955902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length24.92
Min length19

Characters and Unicode

Total characters1246
Distinct characters76
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

Unique42 ?
Unique (%)84.0%

Sample

1st row서울특별시 은평구 불광동 ***-**번지
2nd row서울특별시 은평구 대조동 **-**번지
3rd row서울특별시 은평구 진관동 **-**번지
4th row서울특별시 은평구 대조동 **-*번지
5th row서울특별시 은평구 대조동 ***-*번지
ValueCountFrequency (%)
서울특별시 49
20.8%
은평구 49
20.8%
번지 40
16.9%
응암동 11
 
4.7%
10
 
4.2%
층 9
 
3.8%
대조동 7
 
3.0%
녹번동 7
 
3.0%
호 7
 
3.0%
신사동 5
 
2.1%
Other values (29) 42
17.8%
2024-05-11T15:44:37.450313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 247
19.8%
223
17.9%
시 51
 
4.1%
동 50
 
4.0%
특 50
 
4.0%
별 50
 
4.0%
- 50
 
4.0%
구 50
 
4.0%
울 49
 
3.9%
서 49
 
3.9%
Other values (66) 377
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
57.6%
Other Punctuation 247
 
19.8%
Space Separator 223
 
17.9%
Dash Punctuation 50
 
4.0%
Uppercase Letter 4
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 51
 
7.1%
동 50
 
7.0%
특 50
 
7.0%
별 50
 
7.0%
구 50
 
7.0%
울 49
 
6.8%
서 49
 
6.8%
평 49
 
6.8%
은 49
 
6.8%
번 47
 
6.5%
Other values (57) 224
31.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
B 1
25.0%
M 1
25.0%
S 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 247
100.0%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
57.6%
Common 524
42.1%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 51
 
7.1%
동 50
 
7.0%
특 50
 
7.0%
별 50
 
7.0%
구 50
 
7.0%
울 49
 
6.8%
서 49
 
6.8%
평 49
 
6.8%
은 49
 
6.8%
번 47
 
6.5%
Other values (57) 224
31.2%
Common
ValueCountFrequency (%)
* 247
47.1%
223
42.6%
- 50
 
9.5%
) 2
 
0.4%
( 2
 
0.4%
Latin
ValueCountFrequency (%)
A 1
25.0%
B 1
25.0%
M 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
57.6%
ASCII 528
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 247
46.8%
223
42.2%
- 50
 
9.5%
) 2
 
0.4%
( 2
 
0.4%
A 1
 
0.2%
B 1
 
0.2%
M 1
 
0.2%
S 1
 
0.2%
Hangul
ValueCountFrequency (%)
시 51
 
7.1%
동 50
 
7.0%
특 50
 
7.0%
별 50
 
7.0%
구 50
 
7.0%
울 49
 
6.8%
서 49
 
6.8%
평 49
 
6.8%
은 49
 
6.8%
번 47
 
6.5%
Other values (57) 224
31.2%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)93.6%
Missing4
Missing (%)7.8%
Memory size540.0 B
2024-05-11T15:44:37.786337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length30.234043
Min length23

Characters and Unicode

Total characters1421
Distinct characters95
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

Unique42 ?
Unique (%)89.4%

Sample

1st row서울특별시 은평구 서오릉로*길 ** (대조동)
2nd row서울특별시 은평구 통일로**길 * (대조동)
3rd row서울특별시 은평구 서오릉로 *** (대조동)
4th row서울특별시 은평구 진관*로 **, 진관동주민센터 (진관동)
5th row서울특별시 은평구 갈현로**길 **-* (갈현동)
ValueCountFrequency (%)
47
16.7%
서울특별시 46
16.4%
은평구 46
16.4%
층 17
 
6.0%
응암동 10
 
3.6%
호 9
 
3.2%
녹번동 7
 
2.5%
대조동 6
 
2.1%
서오릉로 5
 
1.8%
신사동 5
 
1.8%
Other values (58) 83
29.5%
2024-05-11T15:44:38.326486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
17.0%
* 212
 
14.9%
평 56
 
3.9%
은 56
 
3.9%
서 54
 
3.8%
동 49
 
3.4%
시 48
 
3.4%
) 48
 
3.4%
( 48
 
3.4%
특 47
 
3.3%
Other values (85) 561
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
56.9%
Other Punctuation 257
 
18.1%
Space Separator 242
 
17.0%
Close Punctuation 48
 
3.4%
Open Punctuation 48
 
3.4%
Dash Punctuation 12
 
0.8%
Uppercase Letter 4
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 56
 
6.9%
은 56
 
6.9%
서 54
 
6.7%
동 49
 
6.1%
시 48
 
5.9%
특 47
 
5.8%
구 47
 
5.8%
별 47
 
5.8%
울 46
 
5.7%
로 46
 
5.7%
Other values (74) 313
38.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
M 1
25.0%
A 1
25.0%
S 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 212
82.5%
, 45
 
17.5%
Space Separator
ValueCountFrequency (%)
242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 809
56.9%
Common 607
42.7%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 56
 
6.9%
은 56
 
6.9%
서 54
 
6.7%
동 49
 
6.1%
시 48
 
5.9%
특 47
 
5.8%
구 47
 
5.8%
별 47
 
5.8%
울 46
 
5.7%
로 46
 
5.7%
Other values (74) 313
38.7%
Common
ValueCountFrequency (%)
242
39.9%
* 212
34.9%
) 48
 
7.9%
( 48
 
7.9%
, 45
 
7.4%
- 12
 
2.0%
Latin
ValueCountFrequency (%)
b 1
20.0%
B 1
20.0%
M 1
20.0%
A 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
56.9%
ASCII 612
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
39.5%
* 212
34.6%
) 48
 
7.8%
( 48
 
7.8%
, 45
 
7.4%
- 12
 
2.0%
b 1
 
0.2%
B 1
 
0.2%
M 1
 
0.2%
A 1
 
0.2%
Hangul
ValueCountFrequency (%)
평 56
 
6.9%
은 56
 
6.9%
서 54
 
6.7%
동 49
 
6.1%
시 48
 
5.9%
특 47
 
5.8%
구 47
 
5.8%
별 47
 
5.8%
울 46
 
5.7%
로 46
 
5.7%
Other values (74) 313
38.7%

도로명우편번호
Text

MISSING 

Distinct29
Distinct (%)85.3%
Missing17
Missing (%)33.3%
Memory size540.0 B
2024-05-11T15:44:38.608665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4411765
Min length5

Characters and Unicode

Total characters185
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

Unique25 ?
Unique (%)73.5%

Sample

1st row03306
2nd row122891
3rd row03322
4th row122840
5th row122819
ValueCountFrequency (%)
03380 3
 
8.8%
122924 2
 
5.9%
03454 2
 
5.9%
122842 2
 
5.9%
03346 1
 
2.9%
03500 1
 
2.9%
03351 1
 
2.9%
03458 1
 
2.9%
03353 1
 
2.9%
03315 1
 
2.9%
Other values (19) 19
55.9%
2024-05-11T15:44:39.187571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 37
20.0%
3 35
18.9%
0 32
17.3%
1 21
11.4%
4 17
9.2%
8 13
 
7.0%
9 10
 
5.4%
5 7
 
3.8%
7 6
 
3.2%
6 6
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 184
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 37
20.1%
3 35
19.0%
0 32
17.4%
1 21
11.4%
4 17
9.2%
8 13
 
7.1%
9 10
 
5.4%
5 7
 
3.8%
7 6
 
3.3%
6 6
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 37
20.0%
3 35
18.9%
0 32
17.3%
1 21
11.4%
4 17
9.2%
8 13
 
7.0%
9 10
 
5.4%
5 7
 
3.8%
7 6
 
3.2%
6 6
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 37
20.0%
3 35
18.9%
0 32
17.3%
1 21
11.4%
4 17
9.2%
8 13
 
7.0%
9 10
 
5.4%
5 7
 
3.8%
7 6
 
3.2%
6 6
 
3.2%

사업장명
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T15:44:39.499330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length5.8235294
Min length2

Characters and Unicode

Total characters297
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

Unique47 ?
Unique (%)92.2%

Sample

1st row수정사
2nd row정민사
3rd row파주문화인쇄사
4th row예림인쇄
5th row예일문화사
ValueCountFrequency (%)
주식회사 4
 
6.5%
아트숨비 2
 
3.2%
오르보 2
 
3.2%
주)유니드 1
 
1.6%
잇 1
 
1.6%
썬앤미디어 1
 
1.6%
주)아름문화사 1
 
1.6%
수정사 1
 
1.6%
경희 1
 
1.6%
에듀케이션 1
 
1.6%
Other values (47) 47
75.8%
2024-05-11T15:44:40.016321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 14
 
4.7%
인 11
 
3.7%
11
 
3.7%
주 11
 
3.7%
이 10
 
3.4%
동 7
 
2.4%
쇄 7
 
2.4%
문 6
 
2.0%
에 6
 
2.0%
디 6
 
2.0%
Other values (118) 208
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
87.9%
Space Separator 11
 
3.7%
Lowercase Letter 8
 
2.7%
Open Punctuation 5
 
1.7%
Close Punctuation 5
 
1.7%
Uppercase Letter 5
 
1.7%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
5.4%
인 11
 
4.2%
주 11
 
4.2%
이 10
 
3.8%
동 7
 
2.7%
쇄 7
 
2.7%
문 6
 
2.3%
에 6
 
2.3%
디 6
 
2.3%
아 6
 
2.3%
Other values (104) 177
67.8%
Lowercase Letter
ValueCountFrequency (%)
s 2
25.0%
i 2
25.0%
n 1
12.5%
g 1
12.5%
a 1
12.5%
e 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
P 2
40.0%
D 1
20.0%
A 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
87.9%
Common 23
 
7.7%
Latin 13
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
5.4%
인 11
 
4.2%
주 11
 
4.2%
이 10
 
3.8%
동 7
 
2.7%
쇄 7
 
2.7%
문 6
 
2.3%
에 6
 
2.3%
디 6
 
2.3%
아 6
 
2.3%
Other values (104) 177
67.8%
Latin
ValueCountFrequency (%)
s 2
15.4%
i 2
15.4%
P 2
15.4%
D 1
7.7%
A 1
7.7%
n 1
7.7%
g 1
7.7%
a 1
7.7%
C 1
7.7%
e 1
7.7%
Common
ValueCountFrequency (%)
11
47.8%
( 5
21.7%
) 5
21.7%
& 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
87.9%
ASCII 36
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 14
 
5.4%
인 11
 
4.2%
주 11
 
4.2%
이 10
 
3.8%
동 7
 
2.7%
쇄 7
 
2.7%
문 6
 
2.3%
에 6
 
2.3%
디 6
 
2.3%
아 6
 
2.3%
Other values (104) 177
67.8%
ASCII
ValueCountFrequency (%)
11
30.6%
( 5
13.9%
) 5
13.9%
& 2
 
5.6%
s 2
 
5.6%
i 2
 
5.6%
P 2
 
5.6%
D 1
 
2.8%
A 1
 
2.8%
n 1
 
2.8%
Other values (4) 4
 
11.1%

최종수정일자
Date

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2003-04-17 19:26:17
Maximum2024-01-24 15:43:29
2024-05-11T15:44:40.190845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:40.387391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
I
30 
U
21 

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 30
58.8%
U 21
41.2%

Length

2024-05-11T15:44:40.581722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:40.716876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
58.8%
u 21
41.2%

데이터갱신일자
Categorical

Distinct22
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2018-08-31 23:59:59.0
21 
2019-01-10 02:40:00.0
10 
2021-01-02 02:40:00.0
 
1
2021-12-04 00:07:00.0
 
1
2020-01-09 02:40:00.0
 
1
Other values (17)
17 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)39.2%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2020-01-25 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 21
41.2%
2019-01-10 02:40:00.0 10
19.6%
2021-01-02 02:40:00.0 1
 
2.0%
2021-12-04 00:07:00.0 1
 
2.0%
2020-01-09 02:40:00.0 1
 
2.0%
2019-05-10 02:40:00.0 1
 
2.0%
2022-12-02 00:02:00.0 1
 
2.0%
2019-05-07 02:40:00.0 1
 
2.0%
2019-09-06 02:40:00.0 1
 
2.0%
2019-04-17 02:40:00.0 1
 
2.0%
Other values (12) 12
23.5%

Length

2024-05-11T15:44:40.867041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 21
20.6%
23:59:59.0 21
20.6%
02:40:00.0 17
16.7%
2019-01-10 10
 
9.8%
00:23:19.0 2
 
2.0%
2021-12-04 1
 
1.0%
00:23:15.0 1
 
1.0%
2023-11-30 1
 
1.0%
00:23:32.0 1
 
1.0%
2020-04-09 1
 
1.0%
Other values (26) 26
25.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)92.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean193647.29
Minimum190846.83
Maximum232436.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:44:41.055756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190846.83
5-th percentile191953.07
Q1192437.08
median192948.12
Q3193249.04
95-th percentile193888.58
Maximum232436.67
Range41589.847
Interquartile range (IQR)811.95738

Descriptive statistics

Standard deviation5632.4579
Coefficient of variation (CV)0.02908617
Kurtosis48.698139
Mean193647.29
Median Absolute Deviation (MAD)473.54679
Skewness6.9343671
Sum9682364.3
Variance31724582
MonotonicityNot monotonic
2024-05-11T15:44:41.261491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
193436.699508638 3
 
5.9%
192930.743900431 2
 
3.9%
192437.07978745 2
 
3.9%
193784.377064295 1
 
2.0%
192489.605932829 1
 
2.0%
192870.501728417 1
 
2.0%
192962.572017536 1
 
2.0%
193212.230616417 1
 
2.0%
193901.428356385 1
 
2.0%
192357.83997002 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
190846.825135398 1
2.0%
191665.757817592 1
2.0%
191916.017899982 1
2.0%
191998.355606284 1
2.0%
192023.008136463 1
2.0%
192158.445369578 1
2.0%
192166.132783319 1
2.0%
192166.928401477 1
2.0%
192231.085409086 1
2.0%
192284.987270006 1
2.0%
ValueCountFrequency (%)
232436.672081381 1
 
2.0%
193914.412539249 1
 
2.0%
193901.428356385 1
 
2.0%
193872.87545289 1
 
2.0%
193834.043161091 1
 
2.0%
193784.377064295 1
 
2.0%
193634.480657606 1
 
2.0%
193529.031186783 1
 
2.0%
193436.699508638 3
5.9%
193397.527316657 1
 
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)92.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean453559.34
Minimum336454.4
Maximum459148.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:44:41.451655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336454.4
5-th percentile453528.75
Q1455148.13
median455614.79
Q3456959.77
95-th percentile458618.19
Maximum459148.14
Range122693.74
Interquartile range (IQR)1811.6422

Descriptive statistics

Standard deviation16960.95
Coefficient of variation (CV)0.037395217
Kurtosis49.229878
Mean453559.34
Median Absolute Deviation (MAD)1043.7049
Skewness-6.9906132
Sum22677967
Variance2.8767383 × 108
MonotonicityNot monotonic
2024-05-11T15:44:41.654857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
455603.826842745 3
 
5.9%
455233.008141361 2
 
3.9%
453856.353926056 2
 
3.9%
456507.024511198 1
 
2.0%
456690.187227174 1
 
2.0%
454964.617583552 1
 
2.0%
455275.239052829 1
 
2.0%
455625.747240638 1
 
2.0%
455067.494423784 1
 
2.0%
455308.932483783 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
336454.401969504 1
2.0%
453246.597175201 1
2.0%
453260.717323681 1
2.0%
453856.353926056 2
3.9%
453863.864667702 1
2.0%
454063.312142591 1
2.0%
454249.329017908 1
2.0%
454275.382600757 1
2.0%
454476.879437825 1
2.0%
454964.617583552 1
2.0%
ValueCountFrequency (%)
459148.141626381 1
2.0%
459065.973901 1
2.0%
459017.188964 1
2.0%
458130.535594513 1
2.0%
458068.323063952 1
2.0%
457854.148431867 1
2.0%
457803.423008433 1
2.0%
457285.361095322 1
2.0%
457244.459097855 1
2.0%
457183.444900529 1
2.0%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
인쇄사
46 
<NA>
5 

Length

Max length4
Median length3
Mean length3.0980392
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 46
90.2%
<NA> 5
 
9.8%

Length

2024-05-11T15:44:41.826729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:41.967830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 46
90.2%
na 5
 
9.8%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
출판인쇄업
46 
<NA>
5 

Length

Max length5
Median length5
Mean length4.9019608
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 46
90.2%
<NA> 5
 
9.8%

Length

2024-05-11T15:44:42.114003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:42.264882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 46
90.2%
na 5
 
9.8%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
48 
0
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.8235294
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
94.1%
0 2
 
3.9%
5 1
 
2.0%

Length

2024-05-11T15:44:42.417201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:42.570418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
94.1%
0 2
 
3.9%
5 1
 
2.0%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing49
Missing (%)96.1%
Memory size540.0 B
2024-05-11T15:44:42.696632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

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

Characters and Unicode

Total characters7
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row주택가주변
2nd row기타
ValueCountFrequency (%)
주택가주변 1
50.0%
기타 1
50.0%
2024-05-11T15:44:43.026283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
44 
0.0
5 
95.7
 
1
33.0
 
1

Length

Max length4
Median length4
Mean length3.9019608
Min length3

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row0.0
2nd row<NA>
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 44
86.3%
0.0 5
 
9.8%
95.7 1
 
2.0%
33.0 1
 
2.0%

Length

2024-05-11T15:44:43.201946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:43.374262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
86.3%
0.0 5
 
9.8%
95.7 1
 
2.0%
33.0 1
 
2.0%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
46 
0
 
2
4
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.7058824
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 46
90.2%
0 2
 
3.9%
4 2
 
3.9%
1 1
 
2.0%

Length

2024-05-11T15:44:43.586574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:43.745738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
90.2%
0 2
 
3.9%
4 2
 
3.9%
1 1
 
2.0%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
47 
0
 
2
1
 
2

Length

Max length4
Median length4
Mean length3.7647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
92.2%
0 2
 
3.9%
1 2
 
3.9%

Length

2024-05-11T15:44:43.921679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:44.091289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
92.2%
0 2
 
3.9%
1 2
 
3.9%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing47
Missing (%)92.2%
Memory size540.0 B
2024-05-11T15:44:44.252818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row근린생활시설
2nd row단독주택
3rd row근린생활시설
4th row근린생활시설
ValueCountFrequency (%)
근린생활시설 3
75.0%
단독주택 1
 
25.0%
2024-05-11T15:44:44.671888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 3
13.6%
린 3
13.6%
생 3
13.6%
활 3
13.6%
시 3
13.6%
설 3
13.6%
단 1
 
4.5%
독 1
 
4.5%
주 1
 
4.5%
택 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 3
13.6%
린 3
13.6%
생 3
13.6%
활 3
13.6%
시 3
13.6%
설 3
13.6%
단 1
 
4.5%
독 1
 
4.5%
주 1
 
4.5%
택 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 3
13.6%
린 3
13.6%
생 3
13.6%
활 3
13.6%
시 3
13.6%
설 3
13.6%
단 1
 
4.5%
독 1
 
4.5%
주 1
 
4.5%
택 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 3
13.6%
린 3
13.6%
생 3
13.6%
활 3
13.6%
시 3
13.6%
설 3
13.6%
단 1
 
4.5%
독 1
 
4.5%
주 1
 
4.5%
택 1
 
4.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-05-11T15:44:44.861942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:45.006025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-05-11T15:44:45.174325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:45.718064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-05-11T15:44:45.910580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:46.112573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-05-11T15:44:46.284088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:46.443336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-05-11T15:44:46.600585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:46.744372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing49
Missing (%)96.1%
Memory size540.0 B
2024-05-11T15:44:46.928266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters11
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row준주거지역
2nd row일반상업지역
ValueCountFrequency (%)
준주거지역 1
50.0%
일반상업지역 1
50.0%
2024-05-11T15:44:47.323183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
준 1
9.1%
주 1
9.1%
거 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFG125200197500000119750625<NA>1영업/정상13영업중<NA><NA><NA><NA>359-3191<NA>122858서울특별시 은평구 불광동 ***-**번지<NA><NA>수정사2003-04-17 19:26:17I2018-08-31 23:59:59.0<NA>193784.377064456507.024511인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFG125200198000000119800924<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>355-1418<NA>122839서울특별시 은평구 대조동 **-**번지서울특별시 은평구 서오릉로*길 ** (대조동)<NA>정민사2005-10-24 10:02:28I2018-08-31 23:59:59.0<NA>193116.835632456210.865334인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFG125200199500000119950106<NA>3폐업3폐업20010629<NA><NA><NA>0-0<NA>122200서울특별시 은평구 진관동 **-**번지<NA><NA>파주문화인쇄사2007-08-12 14:53:10I2018-08-31 23:59:59.0<NA>192726.879615459148.141626인쇄사출판인쇄업0주택가주변<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFG125200199500000219950417<NA>3폐업3폐업20000329<NA><NA><NA>389-3831<NA>122947서울특별시 은평구 대조동 **-*번지서울특별시 은평구 통일로**길 * (대조동)<NA>예림인쇄2003-04-17 19:26:17I2018-08-31 23:59:59.0<NA>193397.527317456864.760608인쇄사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFG125200200200000120020515<NA>3폐업3폐업20200123<NA><NA><NA>3548-321<NA>122845서울특별시 은평구 대조동 ***-*번지서울특별시 은평구 서오릉로 *** (대조동)<NA>예일문화사2020-01-23 13:03:49U2020-01-25 02:40:00.0<NA>192700.631624456521.110331인쇄사출판인쇄업<NA>기타<NA>0.01<NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000CDFG125200200300000120030721<NA>1영업/정상13영업중<NA><NA><NA><NA>384-7495<NA>122200서울특별시 은평구 진관동 ***-*번지<NA><NA>신우2007-08-13 10:47:11I2018-08-31 23:59:59.0<NA>193037.207846459017.188964인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFG125200200400000120041021<NA>1영업/정상13영업중<NA><NA><NA><NA>02-588-2151<NA><NA>서울특별시 은평구 진관동 ***-**번지서울특별시 은평구 진관*로 **, 진관동주민센터 (진관동)03306에이치케이에듀2019-01-08 11:52:37U2019-01-10 02:40:00.0<NA>193087.65558459065.973901인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFG125200200400000220041115<NA>3폐업3폐업20050120<NA><NA><NA><NA><NA>122815서울특별시 은평구 갈현동 ***-*번지서울특별시 은평구 갈현로**길 **-* (갈현동)<NA>인쇄사 봉황2005-01-20 18:11:36I2018-08-31 23:59:59.0<NA>192166.928401457244.459098인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFG125200200500000120050218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>122923서울특별시 은평구 응암동 ***-**번지<NA><NA>A D P2005-02-18 15:38:37I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFG125200200500000220050926<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2275-7291<NA>122916서울특별시 은평구 응암동 ***-**번지 *층호서울특별시 은평구 응암로**길 **, *층호 (응암동)<NA>산타클로스2019-01-08 11:53:15U2019-01-10 02:40:00.0<NA>192968.621163454476.879438인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
413110000CDFG125200202000000220200407<NA>1영업/정상13영업중<NA><NA><NA><NA>029731023<NA><NA>서울특별시 은평구 응암동 ***-**번지 아트숨비 빌딩 *층서울특별시 은평구 은평로*길 *, 아트숨비 빌딩 *층 (응암동)03454주식회사 아트숨비2020-04-07 12:31:14I2020-04-09 00:23:32.0<NA>192930.7439455233.008141인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423110000CDFG125200202000000320170417<NA>1영업/정상13영업중<NA><NA><NA><NA>070-447-7117<NA><NA>서울특별시 은평구 녹번동 **-**번지서울특별시 은평구 서오릉로 **, *층 (녹번동)03380오르보2020-05-12 10:16:34I2020-05-14 00:23:19.0<NA>193436.699509455603.826843인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433110000CDFG125200202000000420200513<NA>1영업/정상13영업중<NA><NA><NA><NA>07041277117<NA><NA>서울특별시 은평구 녹번동 **-**번지 *층서울특별시 은평구 서오릉로 **, *층 (녹번동)03380오르보2020-05-13 12:28:28I2020-05-15 00:23:19.0<NA>193436.699509455603.826843인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443110000CDFG125200202000000520200727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 *-* *층서울특별시 은평구 은평로 **, *층 (신사동)03423경희에듀케이션2020-07-27 17:50:33I2020-07-29 00:23:15.0<NA>192166.132783455134.44071인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453110000CDFG125200202000000620201110<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 **-* 신성빌딩서울특별시 은평구 갈현로 ***, 신성빌딩 (갈현동)03315나눔협동조합2020-11-10 17:14:57I2020-11-12 00:23:29.0<NA>192646.612673458130.535595인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463110000CDFG125200202000000720201124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 **-** *층서울특별시 은평구 서오릉로 **, *층 (녹번동)03380행복발전소협동조합2020-11-24 09:16:33I2020-11-26 00:23:07.0<NA>193436.699509455603.826843인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473110000CDFG125200202100000120110607<NA>3폐업3폐업20221103<NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-** ***호서울특별시 은평구 불광로*길 **, ***호 (불광동)03353사람 잇2022-11-03 20:00:28U2021-11-01 00:05:00.0<NA>193914.412539457105.651247<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483110000CDFG125200202100000220210715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 ***-* 역촌빌딩서울특별시 은평구 응암로 ***, 역촌빌딩 *층 (녹번동)03458(주)유니드2021-07-15 18:26:21I2021-07-17 00:22:52.0<NA>193079.771407455807.011599인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
493110000CDFG12520020230000012023-06-12<NA>3폐업3폐업2023-08-21<NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-** *층서울특별시 은평구 통일로**길 *-**, *층 (불광동)03351제이에스글로발2023-08-21 14:45:02U2022-12-07 22:03:00.0<NA>193255.924251457183.444901<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503110000CDFG12520020240000012024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 ***-*서울특별시 은평구 녹번로 **, *층 (녹번동)03376협동조합쓸모2024-01-24 15:43:29I2023-11-30 22:06:00.0<NA>193872.875453456064.350741<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>