Overview

Dataset statistics

Number of variables60
Number of observations31
Missing cells858
Missing cells (%)46.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory522.3 B

Variable types

Categorical20
Text10
DateTime4
Unsupported17
Numeric5
Boolean4

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,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17052/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
방송시설유무 has constant value ""Constant
발전시설유무 has constant value ""Constant
의무실유무 has constant value ""Constant
안내소유무 has constant value ""Constant
소재지우편번호 is highly imbalanced (59.2%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
폐업일자 has 16 (51.6%) missing valuesMissing
휴업시작일자 has 31 (100.0%) missing valuesMissing
휴업종료일자 has 31 (100.0%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 20 (64.5%) missing valuesMissing
소재지면적 has 31 (100.0%) missing valuesMissing
도로명우편번호 has 2 (6.5%) missing valuesMissing
업태구분명 has 31 (100.0%) missing valuesMissing
문화사업자구분명 has 29 (93.5%) missing valuesMissing
지역구분명 has 29 (93.5%) missing valuesMissing
주변환경명 has 30 (96.8%) missing valuesMissing
제작취급품목내용 has 31 (100.0%) missing valuesMissing
보험기관명 has 31 (100.0%) missing valuesMissing
건물용도명 has 30 (96.8%) missing valuesMissing
영문상호명 has 31 (100.0%) missing valuesMissing
영문상호주소 has 31 (100.0%) missing valuesMissing
선박제원 has 31 (100.0%) missing valuesMissing
기념품종류 has 31 (100.0%) missing valuesMissing
시설면적 has 18 (58.1%) missing valuesMissing
놀이기구수내역 has 23 (74.2%) missing valuesMissing
방송시설유무 has 29 (93.5%) missing valuesMissing
발전시설유무 has 29 (93.5%) missing valuesMissing
의무실유무 has 29 (93.5%) missing valuesMissing
안내소유무 has 29 (93.5%) missing valuesMissing
기획여행보험시작일자 has 31 (100.0%) missing valuesMissing
기획여행보험종료일자 has 31 (100.0%) missing valuesMissing
보험시작일자 has 31 (100.0%) missing valuesMissing
보험종료일자 has 31 (100.0%) missing valuesMissing
부대시설내역 has 31 (100.0%) missing valuesMissing
시설규모 has 18 (58.1%) 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 2 (6.5%) zerosZeros
시설규모 has 2 (6.5%) zerosZeros

Reproduction

Analysis started2024-05-11 05:55:37.837586
Analysis finished2024-05-11 05:55:38.713985
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3100000
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 31
100.0%

Length

2024-05-11T14:55:38.797576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:38.939379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 31
100.0%

관리번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:55:39.167411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters620
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

Unique31 ?
Unique (%)100.0%

Sample

1st rowCDFI5272001998000001
2nd rowCDFI5272002005000001
3rd rowCDFI5272002015000001
4th rowCDFI5272002015000002
5th rowCDFI5272002015000003
ValueCountFrequency (%)
cdfi5272001998000001 1
 
3.2%
cdfi5272002019000001 1
 
3.2%
cdfi5272002023000003 1
 
3.2%
cdfi5272002023000002 1
 
3.2%
cdfi5272002023000001 1
 
3.2%
cdfi5272002022000002 1
 
3.2%
cdfi5272002022000001 1
 
3.2%
cdfi5272002021000001 1
 
3.2%
cdfi5272002020000005 1
 
3.2%
cdfi5272002020000004 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T14:55:39.661682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 253
40.8%
2 114
18.4%
5 37
 
6.0%
7 34
 
5.5%
C 31
 
5.0%
D 31
 
5.0%
F 31
 
5.0%
I 31
 
5.0%
1 31
 
5.0%
3 10
 
1.6%
Other values (4) 17
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 496
80.0%
Uppercase Letter 124
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 253
51.0%
2 114
23.0%
5 37
 
7.5%
7 34
 
6.9%
1 31
 
6.2%
3 10
 
2.0%
9 5
 
1.0%
8 5
 
1.0%
4 4
 
0.8%
6 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 31
25.0%
D 31
25.0%
F 31
25.0%
I 31
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
80.0%
Latin 124
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 253
51.0%
2 114
23.0%
5 37
 
7.5%
7 34
 
6.9%
1 31
 
6.2%
3 10
 
2.0%
9 5
 
1.0%
8 5
 
1.0%
4 4
 
0.8%
6 3
 
0.6%
Latin
ValueCountFrequency (%)
C 31
25.0%
D 31
25.0%
F 31
25.0%
I 31
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 253
40.8%
2 114
18.4%
5 37
 
6.0%
7 34
 
5.5%
C 31
 
5.0%
D 31
 
5.0%
F 31
 
5.0%
I 31
 
5.0%
1 31
 
5.0%
3 10
 
1.6%
Other values (4) 17
 
2.7%

인허가일자
Date

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1998-07-04 00:00:00
Maximum2024-01-17 00:00:00
2024-05-11T14:55:39.865402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:40.046895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
16 
3
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
51.6%
3 15
48.4%

Length

2024-05-11T14:55:40.225281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:40.361710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
51.6%
3 15
48.4%

영업상태명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
16 
폐업
15 

Length

Max length5
Median length5
Mean length3.5483871
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
51.6%
폐업 15
48.4%

Length

2024-05-11T14:55:40.508234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:40.635062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
51.6%
폐업 15
48.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
13
16 
3
14 
34
 
1

Length

Max length2
Median length2
Mean length1.5483871
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row3
2nd row34
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 16
51.6%
3 14
45.2%
34 1
 
3.2%

Length

2024-05-11T14:55:40.776229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:41.224485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
51.6%
3 14
45.2%
34 1
 
3.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업중
16 
폐업
14 
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.6129032
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
51.6%
폐업 14
45.2%
영업장폐쇄 1
 
3.2%

Length

2024-05-11T14:55:41.380111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:41.535067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
51.6%
폐업 14
45.2%
영업장폐쇄 1
 
3.2%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Memory size380.0 B
Minimum2012-12-26 00:00:00
Maximum2023-09-25 00:00:00
2024-05-11T14:55:41.710166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:41.936147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Memory size380.0 B
2024-05-11T14:55:42.153704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.636364
Min length8

Characters and Unicode

Total characters117
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

Unique11 ?
Unique (%)100.0%

Sample

1st row930-3200
2nd row949-3307
3rd row02-949-0095
4th row02-950-2007
5th row070-7721-8970
ValueCountFrequency (%)
930-3200 1
9.1%
949-3307 1
9.1%
02-949-0095 1
9.1%
02-950-2007 1
9.1%
070-7721-8970 1
9.1%
02-2091-0970 1
9.1%
02-930-6346 1
9.1%
932-2345 1
9.1%
070-4025-1516 1
9.1%
02-974-7000 1
9.1%
2024-05-11T14:55:42.629786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
23.9%
- 19
16.2%
9 16
13.7%
2 13
11.1%
7 10
 
8.5%
3 8
 
6.8%
4 8
 
6.8%
5 5
 
4.3%
1 4
 
3.4%
8 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
83.8%
Dash Punctuation 19
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
28.6%
9 16
16.3%
2 13
13.3%
7 10
 
10.2%
3 8
 
8.2%
4 8
 
8.2%
5 5
 
5.1%
1 4
 
4.1%
8 3
 
3.1%
6 3
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
23.9%
- 19
16.2%
9 16
13.7%
2 13
11.1%
7 10
 
8.5%
3 8
 
6.8%
4 8
 
6.8%
5 5
 
4.3%
1 4
 
3.4%
8 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
23.9%
- 19
16.2%
9 16
13.7%
2 13
11.1%
7 10
 
8.5%
3 8
 
6.8%
4 8
 
6.8%
5 5
 
4.3%
1 4
 
3.4%
8 3
 
2.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
139223
 
2
139726
 
1
139942
 
1
139224
 
1

Length

Max length6
Median length4
Mean length4.3225806
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row139726
2nd row139942
3rd row139224
4th row139223
5th row139223

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
139223 2
 
6.5%
139726 1
 
3.2%
139942 1
 
3.2%
139224 1
 
3.2%

Length

2024-05-11T14:55:42.884204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:43.082752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
139223 2
 
6.5%
139726 1
 
3.2%
139942 1
 
3.2%
139224 1
 
3.2%

지번주소
Text

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:55:43.404546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length27.258065
Min length19

Characters and Unicode

Total characters845
Distinct characters96
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

Unique25 ?
Unique (%)80.6%

Sample

1st row서울특별시 노원구 중계동 509번지 2001아울렛 6층
2nd row서울특별시 노원구 상계동 711-9번지
3rd row서울특별시 노원구 중계동 434-1 세양빌딩 501호
4th row서울특별시 노원구 중계동 506-1번지 건영백화점 502호
5th row서울특별시 노원구 중계동 509-1번지 씨앤미 218호~293호
ValueCountFrequency (%)
서울특별시 31
19.0%
노원구 31
19.0%
중계동 12
 
7.4%
상계동 7
 
4.3%
월계동 7
 
4.3%
공릉동 4
 
2.5%
333-1 3
 
1.8%
종합운동장 2
 
1.2%
서울과학기술대학교 2
 
1.2%
84-36 2
 
1.2%
Other values (55) 62
38.0%
2024-05-11T14:55:43.994450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
18.0%
울 34
 
4.0%
동 34
 
4.0%
계 34
 
4.0%
서 33
 
3.9%
시 31
 
3.7%
별 31
 
3.7%
노 31
 
3.7%
원 31
 
3.7%
구 31
 
3.7%
Other values (86) 403
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
61.8%
Space Separator 152
 
18.0%
Decimal Number 144
 
17.0%
Dash Punctuation 23
 
2.7%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 34
 
6.5%
동 34
 
6.5%
계 34
 
6.5%
서 33
 
6.3%
시 31
 
5.9%
별 31
 
5.9%
노 31
 
5.9%
원 31
 
5.9%
구 31
 
5.9%
특 31
 
5.9%
Other values (70) 201
38.5%
Decimal Number
ValueCountFrequency (%)
1 29
20.1%
3 25
17.4%
2 19
13.2%
0 14
9.7%
6 13
9.0%
5 12
8.3%
4 11
 
7.6%
9 8
 
5.6%
7 8
 
5.6%
8 5
 
3.5%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
61.8%
Common 322
38.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 34
 
6.5%
동 34
 
6.5%
계 34
 
6.5%
서 33
 
6.3%
시 31
 
5.9%
별 31
 
5.9%
노 31
 
5.9%
원 31
 
5.9%
구 31
 
5.9%
특 31
 
5.9%
Other values (70) 201
38.5%
Common
ValueCountFrequency (%)
152
47.2%
1 29
 
9.0%
3 25
 
7.8%
- 23
 
7.1%
2 19
 
5.9%
0 14
 
4.3%
6 13
 
4.0%
5 12
 
3.7%
4 11
 
3.4%
9 8
 
2.5%
Other values (5) 16
 
5.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
61.8%
ASCII 323
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
47.1%
1 29
 
9.0%
3 25
 
7.7%
- 23
 
7.1%
2 19
 
5.9%
0 14
 
4.3%
6 13
 
4.0%
5 12
 
3.7%
4 11
 
3.4%
9 8
 
2.5%
Other values (6) 17
 
5.3%
Hangul
ValueCountFrequency (%)
울 34
 
6.5%
동 34
 
6.5%
계 34
 
6.5%
서 33
 
6.3%
시 31
 
5.9%
별 31
 
5.9%
노 31
 
5.9%
원 31
 
5.9%
구 31
 
5.9%
특 31
 
5.9%
Other values (70) 201
38.5%

도로명주소
Text

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:55:44.627729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length35.903226
Min length25

Characters and Unicode

Total characters1113
Distinct characters116
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row서울특별시 노원구 동일로204가길 46 (중계동,2001아울렛 6층)
2nd row서울특별시 노원구 노해로77길 22 (상계동)
3rd row서울특별시 노원구 덕릉로 669, 501호 (중계동, 세양빌딩)
4th row서울특별시 노원구 섬밭로 258, 502호 (중계동, 건영백화점)
5th row서울특별시 노원구 동일로204가길 46 (중계동, 씨앤미(218호~293호))
ValueCountFrequency (%)
서울특별시 31
 
14.6%
노원구 31
 
14.6%
중계동 11
 
5.2%
월계동 7
 
3.3%
상계동 7
 
3.3%
15 5
 
2.4%
2층 5
 
2.4%
3층 5
 
2.4%
공릉동 4
 
1.9%
마들로3길 4
 
1.9%
Other values (76) 102
48.1%
2024-05-11T14:55:45.362870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
16.4%
동 43
 
3.9%
계 38
 
3.4%
2 37
 
3.3%
노 37
 
3.3%
원 35
 
3.1%
, 35
 
3.1%
울 34
 
3.1%
) 33
 
3.0%
( 33
 
3.0%
Other values (106) 606
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
58.7%
Space Separator 182
 
16.4%
Decimal Number 170
 
15.3%
Other Punctuation 35
 
3.1%
Close Punctuation 33
 
3.0%
Open Punctuation 33
 
3.0%
Uppercase Letter 3
 
0.3%
Dash Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
6.6%
계 38
 
5.8%
노 37
 
5.7%
원 35
 
5.4%
울 34
 
5.2%
서 33
 
5.1%
로 31
 
4.7%
특 31
 
4.7%
별 31
 
4.7%
시 31
 
4.7%
Other values (89) 309
47.3%
Decimal Number
ValueCountFrequency (%)
2 37
21.8%
1 31
18.2%
3 24
14.1%
0 24
14.1%
4 17
10.0%
5 13
 
7.6%
6 9
 
5.3%
9 6
 
3.5%
7 5
 
2.9%
8 4
 
2.4%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
58.7%
Common 457
41.1%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
6.6%
계 38
 
5.8%
노 37
 
5.7%
원 35
 
5.4%
울 34
 
5.2%
서 33
 
5.1%
로 31
 
4.7%
특 31
 
4.7%
별 31
 
4.7%
시 31
 
4.7%
Other values (89) 309
47.3%
Common
ValueCountFrequency (%)
182
39.8%
2 37
 
8.1%
, 35
 
7.7%
) 33
 
7.2%
( 33
 
7.2%
1 31
 
6.8%
3 24
 
5.3%
0 24
 
5.3%
4 17
 
3.7%
5 13
 
2.8%
Other values (6) 28
 
6.1%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
58.7%
ASCII 460
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
39.6%
2 37
 
8.0%
, 35
 
7.6%
) 33
 
7.2%
( 33
 
7.2%
1 31
 
6.7%
3 24
 
5.2%
0 24
 
5.2%
4 17
 
3.7%
5 13
 
2.8%
Other values (7) 31
 
6.7%
Hangul
ValueCountFrequency (%)
동 43
 
6.6%
계 38
 
5.8%
노 37
 
5.7%
원 35
 
5.4%
울 34
 
5.2%
서 33
 
5.1%
로 31
 
4.7%
특 31
 
4.7%
별 31
 
4.7%
시 31
 
4.7%
Other values (89) 309
47.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)65.5%
Missing2
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean1780.7586
Minimum1615
Maximum1913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:55:45.586901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1615
5-th percentile1616.4
Q11724
median1783
Q31848
95-th percentile1906
Maximum1913
Range298
Interquartile range (IQR)124

Descriptive statistics

Standard deviation92.411987
Coefficient of variation (CV)0.05189473
Kurtosis-0.844807
Mean1780.7586
Median Absolute Deviation (MAD)65
Skewness-0.14998271
Sum51642
Variance8539.9754
MonotonicityNot monotonic
2024-05-11T14:55:45.770461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1906 4
12.9%
1783 3
 
9.7%
1724 2
 
6.5%
1811 2
 
6.5%
1695 2
 
6.5%
1746 2
 
6.5%
1779 2
 
6.5%
1848 1
 
3.2%
1814 1
 
3.2%
1913 1
 
3.2%
Other values (9) 9
29.0%
(Missing) 2
 
6.5%
ValueCountFrequency (%)
1615 1
3.2%
1616 1
3.2%
1617 1
3.2%
1684 1
3.2%
1695 2
6.5%
1699 1
3.2%
1724 2
6.5%
1734 1
3.2%
1746 2
6.5%
1779 2
6.5%
ValueCountFrequency (%)
1913 1
 
3.2%
1906 4
12.9%
1895 1
 
3.2%
1893 1
 
3.2%
1848 1
 
3.2%
1831 1
 
3.2%
1814 1
 
3.2%
1811 2
6.5%
1783 3
9.7%
1779 2
6.5%

사업장명
Text

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:55:46.124195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length8.7096774
Min length3

Characters and Unicode

Total characters270
Distinct characters105
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)90.3%

Sample

1st row크로바랜드
2nd row노블레스
3rd row타요 키즈카페 중계점
4th rowThe 나무
5th row이랜드파크 키즈랜드 중계점
ValueCountFrequency (%)
중계점 6
 
11.1%
야사노 3
 
5.6%
키즈카페 2
 
3.7%
주식회사 2
 
3.7%
노원점 2
 
3.7%
슈퍼윙스 1
 
1.9%
vr 1
 
1.9%
홈플러스 1
 
1.9%
㈜ 1
 
1.9%
바운스 1
 
1.9%
Other values (34) 34
63.0%
2024-05-11T14:55:46.766418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
8.5%
노 11
 
4.1%
점 11
 
4.1%
계 9
 
3.3%
키 9
 
3.3%
즈 8
 
3.0%
중 7
 
2.6%
스 7
 
2.6%
파 7
 
2.6%
크 6
 
2.2%
Other values (95) 172
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
77.8%
Uppercase Letter 25
 
9.3%
Space Separator 23
 
8.5%
Close Punctuation 4
 
1.5%
Open Punctuation 4
 
1.5%
Lowercase Letter 2
 
0.7%
Math Symbol 1
 
0.4%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 11
 
5.2%
점 11
 
5.2%
계 9
 
4.3%
키 9
 
4.3%
즈 8
 
3.8%
중 7
 
3.3%
스 7
 
3.3%
파 7
 
3.3%
크 6
 
2.9%
이 6
 
2.9%
Other values (74) 129
61.4%
Uppercase Letter
ValueCountFrequency (%)
E 5
20.0%
T 4
16.0%
L 3
12.0%
M 2
 
8.0%
R 2
 
8.0%
U 1
 
4.0%
S 1
 
4.0%
I 1
 
4.0%
B 1
 
4.0%
K 1
 
4.0%
Other values (4) 4
16.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
78.1%
Common 32
 
11.9%
Latin 27
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 11
 
5.2%
점 11
 
5.2%
계 9
 
4.3%
키 9
 
4.3%
즈 8
 
3.8%
중 7
 
3.3%
스 7
 
3.3%
파 7
 
3.3%
크 6
 
2.8%
이 6
 
2.8%
Other values (75) 130
61.6%
Latin
ValueCountFrequency (%)
E 5
18.5%
T 4
14.8%
L 3
11.1%
M 2
 
7.4%
R 2
 
7.4%
U 1
 
3.7%
S 1
 
3.7%
I 1
 
3.7%
h 1
 
3.7%
e 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
23
71.9%
) 4
 
12.5%
( 4
 
12.5%
→ 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
77.8%
ASCII 58
 
21.5%
Arrows 1
 
0.4%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
39.7%
E 5
 
8.6%
T 4
 
6.9%
) 4
 
6.9%
( 4
 
6.9%
L 3
 
5.2%
M 2
 
3.4%
R 2
 
3.4%
U 1
 
1.7%
S 1
 
1.7%
Other values (9) 9
 
15.5%
Hangul
ValueCountFrequency (%)
노 11
 
5.2%
점 11
 
5.2%
계 9
 
4.3%
키 9
 
4.3%
즈 8
 
3.8%
중 7
 
3.3%
스 7
 
3.3%
파 7
 
3.3%
크 6
 
2.9%
이 6
 
2.9%
Other values (74) 129
61.4%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2012-12-27 09:58:28
Maximum2024-04-25 12:38:35
2024-05-11T14:55:47.016885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:47.339812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
U
20 
I
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
64.5%
I 11
35.5%

Length

2024-05-11T14:55:47.544038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:47.714900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
64.5%
i 11
35.5%

데이터갱신일자
Date

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T14:55:47.848664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:48.032677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205909.79
Minimum204596.63
Maximum207167.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:55:48.233093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204596.63
5-th percentile204742.37
Q1205391.07
median205931.05
Q3206358.06
95-th percentile207074.5
Maximum207167.55
Range2570.9262
Interquartile range (IQR)966.98916

Descriptive statistics

Standard deviation721.04536
Coefficient of variation (CV)0.0035017536
Kurtosis-0.71054369
Mean205909.79
Median Absolute Deviation (MAD)539.98289
Skewness0.16122125
Sum6383203.6
Variance519906.42
MonotonicityNot monotonic
2024-05-11T14:55:48.449894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
205391.070378059 4
 
12.9%
206981.454072644 2
 
6.5%
205645.891969072 2
 
6.5%
205985.953324881 2
 
6.5%
207167.554924874 2
 
6.5%
206204.445134058 2
 
6.5%
205931.05327036 1
 
3.2%
206793.654960991 1
 
3.2%
206578.976039388 1
 
3.2%
206918.939595228 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
204596.628767814 1
 
3.2%
204670.573678123 1
 
3.2%
204814.166728862 1
 
3.2%
205157.94751541 1
 
3.2%
205287.683549894 1
 
3.2%
205320.28476675 1
 
3.2%
205391.070378059 4
12.9%
205448.727976251 1
 
3.2%
205645.891969072 2
6.5%
205687.147656225 1
 
3.2%
ValueCountFrequency (%)
207167.554924874 2
6.5%
206981.454072644 2
6.5%
206918.939595228 1
3.2%
206793.654960991 1
3.2%
206578.976039388 1
3.2%
206511.67393263 1
3.2%
206204.445134058 2
6.5%
206202.853230578 1
3.2%
205985.953324881 2
6.5%
205984.15211292 1
3.2%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459911.7
Minimum457053.21
Maximum463189.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:55:48.650905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457053.21
5-th percentile457506.08
Q1458333.99
median459730.44
Q3461159.86
95-th percentile463046.8
Maximum463189.71
Range6136.5001
Interquartile range (IQR)2825.8703

Descriptive statistics

Standard deviation1697.4293
Coefficient of variation (CV)0.0036907722
Kurtosis-0.68729151
Mean459911.7
Median Absolute Deviation (MAD)1396.4486
Skewness0.27778502
Sum14257263
Variance2881266.2
MonotonicityNot monotonic
2024-05-11T14:55:48.857201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
458333.989216339 4
 
12.9%
458960.471391303 2
 
6.5%
459609.012509743 2
 
6.5%
459730.43776924 2
 
6.5%
460833.865704059 2
 
6.5%
460466.440748874 2
 
6.5%
459884.197207567 1
 
3.2%
460899.837225908 1
 
3.2%
457736.364674901 1
 
3.2%
458317.423098869 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
457053.212479203 1
 
3.2%
457275.799282625 1
 
3.2%
457736.364674901 1
 
3.2%
457833.667655465 1
 
3.2%
458317.423098869 1
 
3.2%
458333.989216339 4
12.9%
458960.471391303 2
6.5%
458984.510992729 1
 
3.2%
459609.012509743 2
6.5%
459730.43776924 2
6.5%
ValueCountFrequency (%)
463189.712552985 1
3.2%
463160.287502488 1
3.2%
462933.316362013 1
3.2%
461684.988590888 1
3.2%
461668.784446921 1
3.2%
461438.515259172 1
3.2%
461423.045063883 1
3.2%
461419.881795004 1
3.2%
460899.837225908 1
3.2%
460833.865704059 2
6.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
신고유원시설업
24 
<NA>
7 

Length

Max length7
Median length7
Mean length6.3225806
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 24
77.4%
<NA> 7
 
22.6%

Length

2024-05-11T14:55:49.134444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:49.318041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 24
77.4%
na 7
 
22.6%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing29
Missing (%)93.5%
Memory size380.0 B
2024-05-11T14:55:49.509302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
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

Unique0 ?
Unique (%)0.0%

Sample

1st row유원시설업
2nd row유원시설업
ValueCountFrequency (%)
유원시설업 2
100.0%
2024-05-11T14:55:49.896698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2
20.0%
원 2
20.0%
시 2
20.0%
설 2
20.0%
업 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2
20.0%
원 2
20.0%
시 2
20.0%
설 2
20.0%
업 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2
20.0%
원 2
20.0%
시 2
20.0%
설 2
20.0%
업 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2
20.0%
원 2
20.0%
시 2
20.0%
설 2
20.0%
업 2
20.0%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing29
Missing (%)93.5%
Memory size380.0 B
2024-05-11T14:55:50.112111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters8
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 row일반상업지역
2nd row주거지역
ValueCountFrequency (%)
일반상업지역 1
50.0%
주거지역 1
50.0%
2024-05-11T14:55:50.580800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%
상 1
10.0%
업 1
10.0%
주 1
10.0%
거 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%
상 1
10.0%
업 1
10.0%
주 1
10.0%
거 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%
상 1
10.0%
업 1
10.0%
주 1
10.0%
거 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%
상 1
10.0%
업 1
10.0%
주 1
10.0%
거 1
10.0%

총층수
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
24 
0
6 
15
 
1

Length

Max length4
Median length4
Mean length3.3548387
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row15
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
77.4%
0 6
 
19.4%
15 1
 
3.2%

Length

2024-05-11T14:55:50.799029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:50.968271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
77.4%
0 6
 
19.4%
15 1
 
3.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
2024-05-11T14:55:51.166555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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 (%)100.0%

Sample

1st row유흥업소밀집지역
ValueCountFrequency (%)
유흥업소밀집지역 1
100.0%
2024-05-11T14:55:51.512269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
2024-05-11T14:55:51.715868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row환경위생시설
ValueCountFrequency (%)
환경위생시설 1
100.0%
2024-05-11T14:55:52.150380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
환 1
16.7%
경 1
16.7%
위 1
16.7%
생 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 1
16.7%
경 1
16.7%
위 1
16.7%
생 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 1
16.7%
경 1
16.7%
위 1
16.7%
생 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
환 1
16.7%
경 1
16.7%
위 1
16.7%
생 1
16.7%
시 1
16.7%
설 1
16.7%

지상층수
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
24 
0
6 
11
 
1

Length

Max length4
Median length4
Mean length3.3548387
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row11
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
77.4%
0 6
 
19.4%
11 1
 
3.2%

Length

2024-05-11T14:55:52.334302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:52.531321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
77.4%
0 6
 
19.4%
11 1
 
3.2%

지하층수
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
24 
0
6 
4
 
1

Length

Max length4
Median length4
Mean length3.3225806
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row4
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
77.4%
0 6
 
19.4%
4 1
 
3.2%

Length

2024-05-11T14:55:52.725398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:52.916542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
77.4%
0 6
 
19.4%
4 1
 
3.2%

객실수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:53.113919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:53.304911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

건축연면적
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:53.495680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:53.669392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:53.844923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:54.039136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

선박척수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:54.222710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:54.416483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

무대면적
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:54.595335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:54.747961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

좌석수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:54.929621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:55.114403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:55.638314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:55.810996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)92.3%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean260.8
Minimum0
Maximum498
Zeros2
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:55:55.964619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median311.4
Q3420
95-th percentile496.722
Maximum498
Range498
Interquartile range (IQR)380

Descriptive statistics

Standard deviation199.04264
Coefficient of variation (CV)0.76320032
Kurtosis-1.7865103
Mean260.8
Median Absolute Deviation (MAD)184.47
Skewness-0.22798027
Sum3390.4
Variance39617.974
MonotonicityNot monotonic
2024-05-11T14:55:56.192670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 2
 
6.5%
36.36 1
 
3.2%
94.39 1
 
3.2%
495.87 1
 
3.2%
320.0 1
 
3.2%
498.0 1
 
3.2%
419.88 1
 
3.2%
284.5 1
 
3.2%
420.0 1
 
3.2%
40.0 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 18
58.1%
ValueCountFrequency (%)
0.0 2
6.5%
36.36 1
3.2%
40.0 1
3.2%
94.39 1
3.2%
284.5 1
3.2%
311.4 1
3.2%
320.0 1
3.2%
419.88 1
3.2%
420.0 1
3.2%
470.0 1
3.2%
ValueCountFrequency (%)
498.0 1
3.2%
495.87 1
3.2%
470.0 1
3.2%
420.0 1
3.2%
419.88 1
3.2%
320.0 1
3.2%
311.4 1
3.2%
284.5 1
3.2%
94.39 1
3.2%
40.0 1
3.2%

놀이기구수내역
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Memory size380.0 B
2024-05-11T14:55:56.442863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length23
Mean length24.125
Min length12

Characters and Unicode

Total characters193
Distinct characters65
Distinct categories4 ?
Distinct scripts2 ?
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 row토마스기차, 새 자동차
2nd row정글짐1,붕붕뜀틀2,베터리카1
3rd row미니기차1,회전목마1,코인라이더1,미니에어바운스2,에어하키1
4th row코인라이더3,미니에어바운스1,배터리카3
5th row야구 1, 사격 4, 피쳐 1, 헤머 1, 펀치 1, 농구 2. 인형뽑기 2
ValueCountFrequency (%)
1 8
25.8%
4 2
 
6.5%
2 2
 
6.5%
토마스기차 1
 
3.2%
펀치 1
 
3.2%
코인라이더 1
 
3.2%
미니기차 1
 
3.2%
회전야자수 1
 
3.2%
풀레이스페이스 1
 
3.2%
미니에어바운스 1
 
3.2%
Other values (12) 12
38.7%
2024-05-11T14:55:57.113865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
11.9%
, 21
 
10.9%
1 15
 
7.8%
니 7
 
3.6%
미 7
 
3.6%
스 6
 
3.1%
기 6
 
3.1%
2 5
 
2.6%
이 5
 
2.6%
어 4
 
2.1%
Other values (55) 94
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
63.7%
Decimal Number 25
 
13.0%
Space Separator 23
 
11.9%
Other Punctuation 22
 
11.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
니 7
 
5.7%
미 7
 
5.7%
스 6
 
4.9%
기 6
 
4.9%
이 5
 
4.1%
어 4
 
3.3%
에 4
 
3.3%
치 4
 
3.3%
차 4
 
3.3%
인 4
 
3.3%
Other values (47) 72
58.5%
Decimal Number
ValueCountFrequency (%)
1 15
60.0%
2 5
 
20.0%
3 2
 
8.0%
4 2
 
8.0%
5 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
. 1
 
4.5%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
63.7%
Common 70
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
니 7
 
5.7%
미 7
 
5.7%
스 6
 
4.9%
기 6
 
4.9%
이 5
 
4.1%
어 4
 
3.3%
에 4
 
3.3%
치 4
 
3.3%
차 4
 
3.3%
인 4
 
3.3%
Other values (47) 72
58.5%
Common
ValueCountFrequency (%)
23
32.9%
, 21
30.0%
1 15
21.4%
2 5
 
7.1%
3 2
 
2.9%
4 2
 
2.9%
5 1
 
1.4%
. 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
63.7%
ASCII 70
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
32.9%
, 21
30.0%
1 15
21.4%
2 5
 
7.1%
3 2
 
2.9%
4 2
 
2.9%
5 1
 
1.4%
. 1
 
1.4%
Hangul
ValueCountFrequency (%)
니 7
 
5.7%
미 7
 
5.7%
스 6
 
4.9%
기 6
 
4.9%
이 5
 
4.1%
어 4
 
3.3%
에 4
 
3.3%
치 4
 
3.3%
차 4
 
3.3%
인 4
 
3.3%
Other values (47) 72
58.5%

놀이시설수
Categorical

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
19 
0
5 
1
4 
3
 
1
9
 
1

Length

Max length4
Median length4
Mean length2.8387097
Min length1

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
61.3%
0 5
 
16.1%
1 4
 
12.9%
3 1
 
3.2%
9 1
 
3.2%
5 1
 
3.2%

Length

2024-05-11T14:55:57.405312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:57.651757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
61.3%
0 5
 
16.1%
1 4
 
12.9%
3 1
 
3.2%
9 1
 
3.2%
5 1
 
3.2%

방송시설유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing29
Missing (%)93.5%
Memory size194.0 B
False
 
2
(Missing)
29 
ValueCountFrequency (%)
False 2
 
6.5%
(Missing) 29
93.5%
2024-05-11T14:55:57.811744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing29
Missing (%)93.5%
Memory size194.0 B
False
 
2
(Missing)
29 
ValueCountFrequency (%)
False 2
 
6.5%
(Missing) 29
93.5%
2024-05-11T14:55:57.957834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing29
Missing (%)93.5%
Memory size194.0 B
False
 
2
(Missing)
29 
ValueCountFrequency (%)
False 2
 
6.5%
(Missing) 29
93.5%
2024-05-11T14:55:58.111885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing29
Missing (%)93.5%
Memory size194.0 B
False
 
2
(Missing)
29 
ValueCountFrequency (%)
False 2
 
6.5%
(Missing) 29
93.5%
2024-05-11T14:55:58.245898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

자본금
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-05-11T14:55:58.423954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:58.601926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)84.6%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean260.76923
Minimum0
Maximum498
Zeros2
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:55:58.831288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median311
Q3420
95-th percentile496.8
Maximum498
Range498
Interquartile range (IQR)380

Descriptive statistics

Standard deviation199.12105
Coefficient of variation (CV)0.76359104
Kurtosis-1.7872665
Mean260.76923
Median Absolute Deviation (MAD)185
Skewness-0.22789264
Sum3390
Variance39649.192
MonotonicityNot monotonic
2024-05-11T14:55:59.004646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
420 2
 
6.5%
0 2
 
6.5%
36 1
 
3.2%
94 1
 
3.2%
496 1
 
3.2%
320 1
 
3.2%
498 1
 
3.2%
285 1
 
3.2%
40 1
 
3.2%
311 1
 
3.2%
(Missing) 18
58.1%
ValueCountFrequency (%)
0 2
6.5%
36 1
3.2%
40 1
3.2%
94 1
3.2%
285 1
3.2%
311 1
3.2%
320 1
3.2%
420 2
6.5%
470 1
3.2%
496 1
3.2%
ValueCountFrequency (%)
498 1
3.2%
496 1
3.2%
470 1
3.2%
420 2
6.5%
320 1
3.2%
311 1
3.2%
285 1
3.2%
94 1
3.2%
40 1
3.2%
36 1
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03100000CDFI527200199800000119980704<NA>3폐업3폐업20200319<NA><NA><NA><NA><NA>139726서울특별시 노원구 중계동 509번지 2001아울렛 6층서울특별시 노원구 동일로204가길 46 (중계동,2001아울렛 6층)<NA>크로바랜드2020-03-20 18:14:58U2020-03-22 02:40:00.0<NA>205931.05327459884.197208신고유원시설업유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36.36토마스기차, 새 자동차<NA>NNNN<NA><NA><NA><NA><NA><NA>36
13100000CDFI527200200500000120050516<NA>3폐업34영업장폐쇄20121226<NA><NA><NA>930-3200<NA>139942서울특별시 노원구 상계동 711-9번지서울특별시 노원구 노해로77길 22 (상계동)<NA>노블레스2012-12-27 09:58:28I2018-08-31 23:59:59.0<NA>205157.947515461423.045064신고유원시설업유원시설업일반상업지역15유흥업소밀집지역<NA><NA>환경위생시설114<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>94.39<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>94
23100000CDFI527200201500000120150217<NA>3폐업3폐업20210131<NA><NA><NA><NA><NA>139224서울특별시 노원구 중계동 434-1 세양빌딩 501호서울특별시 노원구 덕릉로 669, 501호 (중계동, 세양빌딩)1699타요 키즈카페 중계점2021-01-12 14:35:29U2021-01-14 02:40:00.0<NA>206511.673933461668.784447신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>495.87정글짐1,붕붕뜀틀2,베터리카1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>496
33100000CDFI527200201500000220150310<NA>3폐업3폐업20170419<NA><NA><NA><NA><NA>139223서울특별시 노원구 중계동 506-1번지 건영백화점 502호서울특별시 노원구 섬밭로 258, 502호 (중계동, 건영백화점)1779The 나무2017-04-19 16:18:39I2018-08-31 23:59:59.0<NA>205645.891969459609.01251신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>320.0미니기차1,회전목마1,코인라이더1,미니에어바운스2,에어하키1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>320
43100000CDFI527200201500000320150420<NA>1영업/정상13영업중<NA><NA><NA><NA>949-3307<NA>139223서울특별시 노원구 중계동 509-1번지 씨앤미 218호~293호서울특별시 노원구 동일로204가길 46 (중계동, 씨앤미(218호~293호))1783이랜드파크 키즈랜드 중계점2019-01-22 13:45:09U2019-01-24 02:40:00.0<NA>205953.043736459822.608945신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>498.0코인라이더3,미니에어바운스1,배터리카31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>498
53100000CDFI527200201500000420151228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 410-7번지서울특별시 노원구 석계로 103 (월계동, 동우빌딩)1893야사노2016-11-07 13:55:09I2018-08-31 23:59:59.0<NA>205287.68355457833.667655신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>야구 1, 사격 4, 피쳐 1, 헤머 1, 펀치 1, 농구 2. 인형뽑기 2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63100000CDFI527200201600000120160111<NA>3폐업3폐업20180427<NA><NA><NA>02-949-0095<NA><NA>서울특별시 노원구 월계동 333-1번지 이마트 월계점 2층서울특별시 노원구 마들로3길 15 (월계동, 이마트월계점2층)1906구름빵2018-04-27 16:46:11I2018-08-31 23:59:59.0<NA>205391.070378458333.989216신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미니에어바운스 1, 풀레이스페이스 1, 회전야자수 13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73100000CDFI527200201600000220160314<NA>3폐업3폐업20191231<NA><NA><NA>02-950-2007<NA><NA>서울특별시 노원구 상계동 713번지서울특별시 노원구 동일로 1414, 옥상층 (상계동, 노원역환승센타)1695롯데쇼핑 주식회사2020-04-14 11:23:41U2020-04-16 02:40:00.0<NA>205320.284767461419.881795신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미니기차 1, 코인라이더 4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83100000CDFI52720020160000032016-10-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7721-8970<NA><NA>서울특별시 노원구 중계동 509-2서울특별시 노원구 동일로204가길 12 (중계동, 홈플러스)1783상상노리중계점→(주)지아이플레이 키즈카페2024-04-25 12:38:35U2023-12-03 22:07:00.0<NA>205985.953325459730.437769<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><NA><NA><NA><NA>
93100000CDFI527200201700000120170330<NA>3폐업3폐업20201008<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 617-2 지하서울특별시 노원구 노해로79길 6-20, 지하층 (상계동)1695야사노2020-11-05 18:44:46U2020-11-07 02:40:00.0<NA>205448.727976461438.515259신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
213100000CDFI527200202000000320200525<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 333-1 월계이마트서울특별시 노원구 마들로3길 15, 월계이마트 2층 (월계동)1906㈜ 바운스 트램폴린파크(월계 이마트센터)2022-01-04 15:01:05U2022-01-06 02:40:00.0<NA>205391.070378458333.989216신고유원시설업<NA>주거지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0420.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>420
223100000CDFI527200202000000420200629<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 333-1 월계이마트서울특별시 노원구 마들로3길 15, 월계이마트 2층 (월계동)1906주식회사 케이커머스2021-08-11 13:23:55U2021-08-13 02:40:00.0<NA>205391.070378458333.989216신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>040.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>40
233100000CDFI527200202000000520200629<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 361 롯데마트서울특별시 노원구 노원로 330, 롯데마트 B01층 (중계동)1746슈퍼윙스 중계점2020-07-30 20:37:20U2020-08-01 02:40:00.0<NA>206204.445134460466.440749신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>311.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>311
243100000CDFI527200202100000120211220<NA>1영업/정상13영업중<NA><NA><NA><NA>02-974-7000<NA><NA>서울특별시 노원구 중계동 506-1 건영옴니백화점서울특별시 노원구 섬밭로 258, 건영옴니백화점 4층 (중계동)1779키즈런스포츠파크2022-02-07 15:04:56U2022-02-09 02:40:00.0<NA>205645.891969459609.01251신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0470.0<NA>1<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>470
253100000CDFI527200202200000120220124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 84-36 중계약국서울특별시 노원구 중계로14길 29, 중계약국 3층 01호 (중계동)1724날개미술창작소2022-01-24 16:43:36I2022-01-26 00:22:40.0<NA>207167.554925460833.865704신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
263100000CDFI52720020220000022022-03-11<NA>3폐업3폐업2023-09-25<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 420-2 공릉동평화타운서울특별시 노원구 공릉로46길 3, 3층 01호 (공릉동, 공릉동평화타운)1814키즈노리방방2023-09-25 17:19:31U2022-12-08 22:07:00.0<NA>206918.939595458317.423099<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><NA><NA><NA><NA>
273100000CDFI52720020230000012023-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 333-1 월계이마트(토이킹덤 내)서울특별시 노원구 마들로3길 15, 월계이마트(토이킹덤 내) 2층 (월계동)1906키즈게임존2023-02-14 16:04:40I2022-12-01 23:06:00.0<NA>205391.070378458333.989216<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><NA><NA><NA><NA>
283100000CDFI52720020230000022023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-948-9489<NA><NA>서울특별시 노원구 공릉동 581-1 공릉쇼핑센타서울특별시 노원구 동일로180길 14, 공릉쇼핑센타 2층 (공릉동)1848월드킹 노원점2023-05-25 19:28:12I2022-12-04 22:07:00.0<NA>206578.976039457736.364675<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><NA><NA><NA><NA>
293100000CDFI52720020230000032023-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 172 서울과학기술대학교 종합운동장서울특별시 노원구 공릉로 232, 서울과학기술대학교 종합운동장 (공릉동)1811노원 SUMMER 워터파크2023-07-20 10:41:57I2022-12-06 22:06:00.0<NA>206981.454073458960.471391<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><NA><NA><NA><NA>
303100000CDFI52720020240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 172 서울과학기술대학교 종합운동장서울특별시 노원구 공릉로 232, 서울과학기술대학교 종합운동장 (공릉동)1811노원눈썰매장2024-01-17 09:08:06I2023-11-30 22:00:00.0<NA>206981.454073458960.471391<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><NA><NA><NA><NA>