Overview

Dataset statistics

Number of variables60
Number of observations24
Missing cells631
Missing cells (%)43.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory526.5 B

Variable types

Categorical21
Text9
DateTime4
Unsupported18
Numeric6
Boolean2

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17060/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
놀이기구수내역 has constant value ""Constant
방송시설유무 has constant value ""Constant
안내소유무 has constant value ""Constant
휴업시작일자 is highly imbalanced (75.0%)Imbalance
휴업종료일자 is highly imbalanced (75.0%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 10 (41.7%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 10 (41.7%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 15 (62.5%) missing valuesMissing
도로명주소 has 3 (12.5%) missing valuesMissing
도로명우편번호 has 4 (16.7%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 2 (8.3%) missing valuesMissing
좌표정보(Y) has 2 (8.3%) missing valuesMissing
문화사업자구분명 has 24 (100.0%) missing valuesMissing
지역구분명 has 22 (91.7%) missing valuesMissing
주변환경명 has 23 (95.8%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
보험기관명 has 24 (100.0%) missing valuesMissing
건물용도명 has 23 (95.8%) missing valuesMissing
영문상호명 has 24 (100.0%) missing valuesMissing
영문상호주소 has 24 (100.0%) missing valuesMissing
선박제원 has 24 (100.0%) missing valuesMissing
기념품종류 has 24 (100.0%) missing valuesMissing
시설면적 has 8 (33.3%) missing valuesMissing
놀이기구수내역 has 23 (95.8%) missing valuesMissing
방송시설유무 has 23 (95.8%) missing valuesMissing
발전시설유무 has 24 (100.0%) missing valuesMissing
의무실유무 has 24 (100.0%) missing valuesMissing
안내소유무 has 23 (95.8%) missing valuesMissing
기획여행보험시작일자 has 24 (100.0%) missing valuesMissing
기획여행보험종료일자 has 24 (100.0%) missing valuesMissing
보험시작일자 has 24 (100.0%) missing valuesMissing
보험종료일자 has 24 (100.0%) missing valuesMissing
부대시설내역 has 24 (100.0%) missing valuesMissing
시설규모 has 8 (33.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
문화사업자구분명 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
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 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 10 (41.7%) zerosZeros
시설규모 has 10 (41.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:13:34.764674
Analysis finished2024-05-11 06:13:35.732771
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3180000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 24
100.0%

Length

2024-05-11T15:13:35.830234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:35.971451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:13:36.252837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
Distinct characters13
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFI5272002010000001
2nd rowCDFI5272002012000001
3rd rowCDFI5272002014000001
4th rowCDFI5272002014000002
5th rowCDFI5272002014000003
ValueCountFrequency (%)
cdfi5272002010000001 1
 
4.2%
cdfi5272002012000001 1
 
4.2%
cdfi5272002023000003 1
 
4.2%
cdfi5272002023000002 1
 
4.2%
cdfi5272002023000001 1
 
4.2%
cdfi5272002021000001 1
 
4.2%
cdfi5272002020000003 1
 
4.2%
cdfi5272002020000002 1
 
4.2%
cdfi5272002020000001 1
 
4.2%
cdfi5272002018000002 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T15:13:36.742008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
40.8%
2 88
18.3%
5 28
 
5.8%
1 28
 
5.8%
7 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
F 24
 
5.0%
I 24
 
5.0%
4 7
 
1.5%
Other values (3) 11
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
51.0%
2 88
22.9%
5 28
 
7.3%
1 28
 
7.3%
7 26
 
6.8%
4 7
 
1.8%
3 7
 
1.8%
6 2
 
0.5%
8 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 24
25.0%
D 24
25.0%
F 24
25.0%
I 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
51.0%
2 88
22.9%
5 28
 
7.3%
1 28
 
7.3%
7 26
 
6.8%
4 7
 
1.8%
3 7
 
1.8%
6 2
 
0.5%
8 2
 
0.5%
Latin
ValueCountFrequency (%)
C 24
25.0%
D 24
25.0%
F 24
25.0%
I 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
40.8%
2 88
18.3%
5 28
 
5.8%
1 28
 
5.8%
7 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
F 24
 
5.0%
I 24
 
5.0%
4 7
 
1.5%
Other values (3) 11
 
2.3%

인허가일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2010-12-30 00:00:00
Maximum2024-04-12 00:00:00
2024-05-11T15:13:36.978587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:37.149415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
15 
1
7 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 15
62.5%
1 7
29.2%
2 1
 
4.2%
4 1
 
4.2%

Length

2024-05-11T15:13:37.302271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:37.438237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 15
62.5%
1 7
29.2%
2 1
 
4.2%
4 1
 
4.2%

영업상태명
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
15 
영업/정상
7 
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.375
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 15
62.5%
영업/정상 7
29.2%
휴업 1
 
4.2%
취소/말소/만료/정지/중지 1
 
4.2%

Length

2024-05-11T15:13:37.649857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:37.820233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
62.5%
영업/정상 7
29.2%
휴업 1
 
4.2%
취소/말소/만료/정지/중지 1
 
4.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
15 
13
7 
2
 
1
35
 
1

Length

Max length2
Median length1
Mean length1.3333333
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 15
62.5%
13 7
29.2%
2 1
 
4.2%
35 1
 
4.2%

Length

2024-05-11T15:13:37.971044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:38.098690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 15
62.5%
13 7
29.2%
2 1
 
4.2%
35 1
 
4.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
15 
영업중
7 
휴업
 
1
직권말소
 
1

Length

Max length4
Median length2
Mean length2.375
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 15
62.5%
영업중 7
29.2%
휴업 1
 
4.2%
직권말소 1
 
4.2%

Length

2024-05-11T15:13:38.256773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:38.408484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
62.5%
영업중 7
29.2%
휴업 1
 
4.2%
직권말소 1
 
4.2%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing10
Missing (%)41.7%
Memory size324.0 B
Minimum2011-08-17 00:00:00
Maximum2024-03-06 00:00:00
2024-05-11T15:13:38.539857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:38.699610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20190109
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20190109 1
 
4.2%

Length

2024-05-11T15:13:38.891764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:39.045836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20190109 1
 
4.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20220108
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20220108 1
 
4.2%

Length

2024-05-11T15:13:39.245833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:39.425910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20220108 1
 
4.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing10
Missing (%)41.7%
Memory size324.0 B
2024-05-11T15:13:39.664031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length9

Characters and Unicode

Total characters169
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

Unique14 ?
Unique (%)100.0%

Sample

1st row2068-2313
2nd row02-2638-2615
3rd row070-4348-2048
4th row070-8871-2971
5th row02-2636-0970
ValueCountFrequency (%)
2068-2313 1
 
7.1%
02-2638-2615 1
 
7.1%
070-4348-2048 1
 
7.1%
070-8871-2971 1
 
7.1%
02-2636-0970 1
 
7.1%
02-2672-8669 1
 
7.1%
02-2630-6985 1
 
7.1%
02-2631-1600 1
 
7.1%
070-7655-1101 1
 
7.1%
02-2068-4173 1
 
7.1%
Other values (4) 4
28.6%
2024-05-11T15:13:40.195873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
16.6%
- 27
16.0%
2 25
14.8%
6 19
11.2%
7 16
9.5%
8 13
7.7%
3 13
7.7%
1 12
7.1%
4 6
 
3.6%
9 6
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 142
84.0%
Dash Punctuation 27
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
19.7%
2 25
17.6%
6 19
13.4%
7 16
11.3%
8 13
9.2%
3 13
9.2%
1 12
8.5%
4 6
 
4.2%
9 6
 
4.2%
5 4
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
16.6%
- 27
16.0%
2 25
14.8%
6 19
11.2%
7 16
9.5%
8 13
7.7%
3 13
7.7%
1 12
7.1%
4 6
 
3.6%
9 6
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
16.6%
- 27
16.0%
2 25
14.8%
6 19
11.2%
7 16
9.5%
8 13
7.7%
3 13
7.7%
1 12
7.1%
4 6
 
3.6%
9 6
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing15
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean150486.67
Minimum150010
Maximum150945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:13:40.369305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150010
5-th percentile150010
Q1150010
median150798
Q3150840
95-th percentile150925
Maximum150945
Range935
Interquartile range (IQR)830

Descriptive statistics

Standard deviation448.63181
Coefficient of variation (CV)0.0029812064
Kurtosis-2.5245989
Mean150486.67
Median Absolute Deviation (MAD)147
Skewness-0.24186406
Sum1354380
Variance201270.5
MonotonicityNot monotonic
2024-05-11T15:13:40.496613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
150010 3
 
12.5%
150033 1
 
4.2%
150798 1
 
4.2%
150895 1
 
4.2%
150945 1
 
4.2%
150839 1
 
4.2%
150840 1
 
4.2%
(Missing) 15
62.5%
ValueCountFrequency (%)
150010 3
12.5%
150033 1
 
4.2%
150798 1
 
4.2%
150839 1
 
4.2%
150840 1
 
4.2%
150895 1
 
4.2%
150945 1
 
4.2%
ValueCountFrequency (%)
150945 1
 
4.2%
150895 1
 
4.2%
150840 1
 
4.2%
150839 1
 
4.2%
150798 1
 
4.2%
150033 1
 
4.2%
150010 3
12.5%

지번주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:13:40.757994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length28.166667
Min length20

Characters and Unicode

Total characters676
Distinct characters83
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row서울특별시 영등포구 영등포동3가 7-25번지 텔리타운 203~204호
2nd row서울특별시 영등포구 여의도동 82-3
3rd row서울특별시 영등포구 여의도동 82-3번지
4th row서울특별시 영등포구 영등포동4가 442번지 타임스퀘어 지하2층
5th row서울특별시 영등포구 여의도동 23-1번지 콘래드호텔 3층
ValueCountFrequency (%)
서울특별시 24
19.8%
영등포구 24
19.8%
여의도동 9
 
7.4%
신길동 3
 
2.5%
영등포동4가 3
 
2.5%
타임스퀘어 3
 
2.5%
지하2층 2
 
1.7%
82-1 2
 
1.7%
영등포동8가 2
 
1.7%
문래동3가 2
 
1.7%
Other values (43) 47
38.8%
2024-05-11T15:13:41.263923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
16.4%
영 37
 
5.5%
포 36
 
5.3%
등 36
 
5.3%
동 25
 
3.7%
구 25
 
3.7%
시 25
 
3.7%
서 24
 
3.6%
울 24
 
3.6%
별 24
 
3.6%
Other values (73) 309
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
65.8%
Space Separator 111
 
16.4%
Decimal Number 102
 
15.1%
Dash Punctuation 16
 
2.4%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 37
 
8.3%
포 36
 
8.1%
등 36
 
8.1%
동 25
 
5.6%
구 25
 
5.6%
시 25
 
5.6%
서 24
 
5.4%
울 24
 
5.4%
별 24
 
5.4%
특 24
 
5.4%
Other values (59) 165
37.1%
Decimal Number
ValueCountFrequency (%)
2 22
21.6%
1 19
18.6%
3 15
14.7%
8 13
12.7%
4 13
12.7%
6 7
 
6.9%
5 5
 
4.9%
0 3
 
2.9%
9 3
 
2.9%
7 2
 
2.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
65.8%
Common 231
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 37
 
8.3%
포 36
 
8.1%
등 36
 
8.1%
동 25
 
5.6%
구 25
 
5.6%
시 25
 
5.6%
서 24
 
5.4%
울 24
 
5.4%
별 24
 
5.4%
특 24
 
5.4%
Other values (59) 165
37.1%
Common
ValueCountFrequency (%)
111
48.1%
2 22
 
9.5%
1 19
 
8.2%
- 16
 
6.9%
3 15
 
6.5%
8 13
 
5.6%
4 13
 
5.6%
6 7
 
3.0%
5 5
 
2.2%
0 3
 
1.3%
Other values (4) 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
65.8%
ASCII 231
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
48.1%
2 22
 
9.5%
1 19
 
8.2%
- 16
 
6.9%
3 15
 
6.5%
8 13
 
5.6%
4 13
 
5.6%
6 7
 
3.0%
5 5
 
2.2%
0 3
 
1.3%
Other values (4) 7
 
3.0%
Hangul
ValueCountFrequency (%)
영 37
 
8.3%
포 36
 
8.1%
등 36
 
8.1%
동 25
 
5.6%
구 25
 
5.6%
시 25
 
5.6%
서 24
 
5.4%
울 24
 
5.4%
별 24
 
5.4%
특 24
 
5.4%
Other values (59) 165
37.1%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing3
Missing (%)12.5%
Memory size324.0 B
2024-05-11T15:13:41.636192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length36.952381
Min length25

Characters and Unicode

Total characters776
Distinct characters97
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 영중로10길 6 (영등포동3가,텔리타운 203~204호)
2nd row서울특별시 영등포구 영중로 15 (영등포동4가, 타임스퀘어 지하2층)
3rd row서울특별시 영등포구 국제금융로 10 (여의도동, 콘래드호텔 3층)
4th row서울특별시 영등포구 국제금융로 10 (여의도동, 여의도 국제금융센터)
5th row서울특별시 영등포구 도신로65길 2 (신길동)
ValueCountFrequency (%)
서울특별시 21
 
14.4%
영등포구 21
 
14.4%
여의도동 6
 
4.1%
영중로 5
 
3.4%
영등포동4가 3
 
2.1%
신길동 3
 
2.1%
3층 3
 
2.1%
타임스퀘어 3
 
2.1%
2층 3
 
2.1%
15 3
 
2.1%
Other values (58) 75
51.4%
2024-05-11T15:13:42.214678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
16.2%
영 39
 
5.0%
포 32
 
4.1%
등 32
 
4.1%
, 26
 
3.4%
시 24
 
3.1%
동 23
 
3.0%
서 23
 
3.0%
별 21
 
2.7%
구 21
 
2.7%
Other values (87) 409
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
62.9%
Space Separator 126
 
16.2%
Decimal Number 92
 
11.9%
Other Punctuation 26
 
3.4%
Close Punctuation 21
 
2.7%
Open Punctuation 21
 
2.7%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 39
 
8.0%
포 32
 
6.6%
등 32
 
6.6%
시 24
 
4.9%
동 23
 
4.7%
서 23
 
4.7%
별 21
 
4.3%
구 21
 
4.3%
로 21
 
4.3%
울 21
 
4.3%
Other values (71) 231
47.3%
Decimal Number
ValueCountFrequency (%)
1 21
22.8%
2 15
16.3%
4 12
13.0%
3 11
12.0%
5 9
9.8%
0 8
 
8.7%
6 7
 
7.6%
8 5
 
5.4%
9 3
 
3.3%
7 1
 
1.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
62.9%
Common 288
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 39
 
8.0%
포 32
 
6.6%
등 32
 
6.6%
시 24
 
4.9%
동 23
 
4.7%
서 23
 
4.7%
별 21
 
4.3%
구 21
 
4.3%
로 21
 
4.3%
울 21
 
4.3%
Other values (71) 231
47.3%
Common
ValueCountFrequency (%)
126
43.8%
, 26
 
9.0%
) 21
 
7.3%
1 21
 
7.3%
( 21
 
7.3%
2 15
 
5.2%
4 12
 
4.2%
3 11
 
3.8%
5 9
 
3.1%
0 8
 
2.8%
Other values (6) 18
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
62.9%
ASCII 288
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
43.8%
, 26
 
9.0%
) 21
 
7.3%
1 21
 
7.3%
( 21
 
7.3%
2 15
 
5.2%
4 12
 
4.2%
3 11
 
3.8%
5 9
 
3.1%
0 8
 
2.8%
Other values (6) 18
 
6.2%
Hangul
ValueCountFrequency (%)
영 39
 
8.0%
포 32
 
6.6%
등 32
 
6.6%
시 24
 
4.9%
동 23
 
4.7%
서 23
 
4.7%
별 21
 
4.3%
구 21
 
4.3%
로 21
 
4.3%
울 21
 
4.3%
Other values (71) 231
47.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)70.0%
Missing4
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean7298.85
Minimum7213
Maximum7444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:13:42.414745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7213
5-th percentile7227.25
Q17234
median7305
Q37326
95-th percentile7389.85
Maximum7444
Range231
Interquartile range (IQR)92

Descriptive statistics

Standard deviation58.993555
Coefficient of variation (CV)0.0080825821
Kurtosis0.51386255
Mean7298.85
Median Absolute Deviation (MAD)30.5
Skewness0.50653296
Sum145977
Variance3480.2395
MonotonicityNot monotonic
2024-05-11T15:13:42.579190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7305 3
12.5%
7326 2
8.3%
7306 2
8.3%
7228 2
8.3%
7231 2
8.3%
7317 1
 
4.2%
7348 1
 
4.2%
7297 1
 
4.2%
7294 1
 
4.2%
7213 1
 
4.2%
Other values (4) 4
16.7%
(Missing) 4
16.7%
ValueCountFrequency (%)
7213 1
 
4.2%
7228 2
8.3%
7231 2
8.3%
7235 1
 
4.2%
7294 1
 
4.2%
7297 1
 
4.2%
7305 3
12.5%
7306 2
8.3%
7317 1
 
4.2%
7326 2
8.3%
ValueCountFrequency (%)
7444 1
 
4.2%
7387 1
 
4.2%
7348 1
 
4.2%
7345 1
 
4.2%
7326 2
8.3%
7317 1
 
4.2%
7306 2
8.3%
7305 3
12.5%
7297 1
 
4.2%
7294 1
 
4.2%

사업장명
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:13:42.840393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length9.5416667
Min length4

Characters and Unicode

Total characters229
Distinct characters109
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

Unique22 ?
Unique (%)91.7%

Sample

1st row놀이랜드
2nd row한성레포츠
3rd row여의도 눈썰매장
4th row(주)미래엔에듀케어 딸기가좋아 타임스퀘어점
5th row엠퍼니인터랙티브(주)
ValueCountFrequency (%)
영등포점 4
 
9.3%
여의도 2
 
4.7%
챔피언 2
 
4.7%
눈썰매장 2
 
4.7%
키즈카페 2
 
4.7%
딸기가좋아 1
 
2.3%
vr 1
 
2.3%
엘스 1
 
2.3%
방방박사 1
 
2.3%
대림2동점 1
 
2.3%
Other values (26) 26
60.5%
2024-05-11T15:13:43.361563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
8.3%
점 10
 
4.4%
영 6
 
2.6%
키 6
 
2.6%
즈 6
 
2.6%
) 6
 
2.6%
( 6
 
2.6%
포 6
 
2.6%
스 5
 
2.2%
장 4
 
1.7%
Other values (99) 155
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
77.7%
Space Separator 19
 
8.3%
Uppercase Letter 18
 
7.9%
Close Punctuation 6
 
2.6%
Open Punctuation 6
 
2.6%
Dash Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 10
 
5.6%
영 6
 
3.4%
키 6
 
3.4%
즈 6
 
3.4%
포 6
 
3.4%
스 5
 
2.8%
장 4
 
2.2%
방 4
 
2.2%
이 4
 
2.2%
주 4
 
2.2%
Other values (83) 123
69.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
16.7%
V 2
11.1%
K 2
11.1%
I 2
11.1%
R 2
11.1%
L 2
11.1%
T 1
 
5.6%
A 1
 
5.6%
D 1
 
5.6%
E 1
 
5.6%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
77.7%
Common 33
 
14.4%
Latin 18
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 10
 
5.6%
영 6
 
3.4%
키 6
 
3.4%
즈 6
 
3.4%
포 6
 
3.4%
스 5
 
2.8%
장 4
 
2.2%
방 4
 
2.2%
이 4
 
2.2%
주 4
 
2.2%
Other values (83) 123
69.1%
Latin
ValueCountFrequency (%)
S 3
16.7%
V 2
11.1%
K 2
11.1%
I 2
11.1%
R 2
11.1%
L 2
11.1%
T 1
 
5.6%
A 1
 
5.6%
D 1
 
5.6%
E 1
 
5.6%
Common
ValueCountFrequency (%)
19
57.6%
) 6
 
18.2%
( 6
 
18.2%
- 1
 
3.0%
2 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
77.7%
ASCII 51
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
37.3%
) 6
 
11.8%
( 6
 
11.8%
S 3
 
5.9%
V 2
 
3.9%
K 2
 
3.9%
I 2
 
3.9%
R 2
 
3.9%
L 2
 
3.9%
- 1
 
2.0%
Other values (6) 6
 
11.8%
Hangul
ValueCountFrequency (%)
점 10
 
5.6%
영 6
 
3.4%
키 6
 
3.4%
즈 6
 
3.4%
포 6
 
3.4%
스 5
 
2.8%
장 4
 
2.2%
방 4
 
2.2%
이 4
 
2.2%
주 4
 
2.2%
Other values (83) 123
69.1%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2011-08-17 14:27:51
Maximum2024-04-25 10:45:06
2024-05-11T15:13:43.528458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:43.706546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
U
16 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 16
66.7%
I 8
33.3%

Length

2024-05-11T15:13:43.926278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:44.057420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 16
66.7%
i 8
33.3%

데이터갱신일자
Date

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-05-11T15:13:44.187817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:44.336291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean192113.99
Minimum190292.22
Maximum194592.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:13:44.554690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190292.22
5-th percentile190747.72
Q1191414.64
median191893.52
Q3192756.71
95-th percentile193403.45
Maximum194592.28
Range4300.0558
Interquartile range (IQR)1342.0744

Descriptive statistics

Standard deviation993.27097
Coefficient of variation (CV)0.0051702167
Kurtosis0.46168738
Mean192113.99
Median Absolute Deviation (MAD)692.98228
Skewness0.47936376
Sum4226507.8
Variance986587.21
MonotonicityNot monotonic
2024-05-11T15:13:44.893160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
191385.057392247 3
12.5%
192756.713978669 2
 
8.3%
191503.386111551 2
 
8.3%
192777.796182417 2
 
8.3%
191741.345847708 2
 
8.3%
191093.875514958 1
 
4.2%
194592.276750438 1
 
4.2%
192045.699599775 1
 
4.2%
192538.786642476 1
 
4.2%
191636.053345951 1
 
4.2%
Other values (6) 6
25.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
190292.220966455 1
 
4.2%
190729.506453391 1
 
4.2%
191093.875514958 1
 
4.2%
191385.057392247 3
12.5%
191503.386111551 2
8.3%
191636.053345951 1
 
4.2%
191741.345847708 2
8.3%
192045.699599775 1
 
4.2%
192497.074829652 1
 
4.2%
192538.786642476 1
 
4.2%
ValueCountFrequency (%)
194592.276750438 1
4.2%
193407.473067714 1
4.2%
193326.931018911 1
4.2%
192777.796182417 2
8.3%
192756.713978669 2
8.3%
192634.223361995 1
4.2%
192538.786642476 1
4.2%
192497.074829652 1
4.2%
192045.699599775 1
4.2%
191741.345847708 2
8.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean446691.37
Minimum444953.96
Maximum448232.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:13:45.151357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444953.96
5-th percentile445405.94
Q1446098.56
median446360.3
Q3447289.55
95-th percentile448218.21
Maximum448232.14
Range3278.186
Interquartile range (IQR)1190.9924

Descriptive statistics

Standard deviation943.6382
Coefficient of variation (CV)0.002112506
Kurtosis-0.89707303
Mean446691.37
Median Absolute Deviation (MAD)666.76654
Skewness0.18558329
Sum9827210.2
Variance890453.06
MonotonicityNot monotonic
2024-05-11T15:13:45.808598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
446098.555926507 3
12.5%
448232.143837185 2
 
8.3%
447289.548355449 2
 
8.3%
447953.457950143 2
 
8.3%
445970.307641467 2
 
8.3%
447795.02180134 1
 
4.2%
446268.481210069 1
 
4.2%
444953.957846424 1
 
4.2%
447017.15917925 1
 
4.2%
446315.067198453 1
 
4.2%
Other values (6) 6
25.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
444953.957846424 1
 
4.2%
445393.800274521 1
 
4.2%
445636.584466619 1
 
4.2%
445970.307641467 2
8.3%
446098.555926507 3
12.5%
446227.07504062 1
 
4.2%
446268.481210069 1
 
4.2%
446315.067198453 1
 
4.2%
446405.537824934 1
 
4.2%
446973.914570276 1
 
4.2%
ValueCountFrequency (%)
448232.143837185 2
8.3%
447953.457950143 2
8.3%
447795.02180134 1
4.2%
447289.548355449 2
8.3%
447036.978914386 1
4.2%
447017.15917925 1
4.2%
446973.914570276 1
4.2%
446405.537824934 1
4.2%
446315.067198453 1
4.2%
446268.481210069 1
4.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
신고유원시설업
16 
<NA>
8 

Length

Max length7
Median length7
Mean length6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:46.041574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:46.209963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 16
66.7%
na 8
33.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing22
Missing (%)91.7%
Memory size324.0 B
2024-05-11T15:13:46.374924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
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 row일반상업지역
2nd row전용공업지역
ValueCountFrequency (%)
일반상업지역 1
50.0%
전용공업지역 1
50.0%
2024-05-11T15:13:46.771713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2
16.7%
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
상 1
8.3%
전 1
8.3%
용 1
8.3%
공 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2
16.7%
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
상 1
8.3%
전 1
8.3%
용 1
8.3%
공 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2
16.7%
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
상 1
8.3%
전 1
8.3%
용 1
8.3%
공 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2
16.7%
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
상 1
8.3%
전 1
8.3%
용 1
8.3%
공 1
8.3%

총층수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
15 
<NA>
8 
25
 
1

Length

Max length4
Median length1
Mean length2.0416667
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row0
2nd row0
3rd row0
4th row25
5th row0

Common Values

ValueCountFrequency (%)
0 15
62.5%
<NA> 8
33.3%
25 1
 
4.2%

Length

2024-05-11T15:13:47.024272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:47.227664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
62.5%
na 8
33.3%
25 1
 
4.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-05-11T15:13:47.410197image/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%
2024-05-11T15:13:47.813917image/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 

Missing24
Missing (%)100.0%
Memory size348.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-05-11T15:13:47.986339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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 row유통시설
ValueCountFrequency (%)
유통시설 1
100.0%
2024-05-11T15:13:48.357451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
25.0%
통 1
25.0%
시 1
25.0%
설 1
25.0%

지상층수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:48.564137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:48.733574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

지하층수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
15 
<NA>
8 
2
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 15
62.5%
<NA> 8
33.3%
2 1
 
4.2%

Length

2024-05-11T15:13:48.901507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:49.091154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
62.5%
na 8
33.3%
2 1
 
4.2%

객실수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:49.249551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:49.397564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

건축연면적
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:49.541511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:49.667441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:49.790442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:49.930417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

선박척수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:50.053259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:50.169219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

무대면적
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:50.294204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:50.393967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

좌석수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:50.525773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:50.709686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:50.856266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:50.983132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)43.8%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean145.0425
Minimum0
Maximum1326
Zeros10
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:13:51.090744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q388.2975
95-th percentile821.475
Maximum1326
Range1326
Interquartile range (IQR)88.2975

Descriptive statistics

Standard deviation354.76931
Coefficient of variation (CV)2.445968
Kurtosis8.9748296
Mean145.0425
Median Absolute Deviation (MAD)0
Skewness2.9774184
Sum2320.68
Variance125861.26
MonotonicityNot monotonic
2024-05-11T15:13:51.225167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 10
41.7%
1326.0 1
 
4.2%
99.0 1
 
4.2%
149.65 1
 
4.2%
653.3 1
 
4.2%
84.73 1
 
4.2%
8.0 1
 
4.2%
(Missing) 8
33.3%
ValueCountFrequency (%)
0.0 10
41.7%
8.0 1
 
4.2%
84.73 1
 
4.2%
99.0 1
 
4.2%
149.65 1
 
4.2%
653.3 1
 
4.2%
1326.0 1
 
4.2%
ValueCountFrequency (%)
1326.0 1
 
4.2%
653.3 1
 
4.2%
149.65 1
 
4.2%
99.0 1
 
4.2%
84.73 1
 
4.2%
8.0 1
 
4.2%
0.0 10
41.7%

놀이기구수내역
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-05-11T15:13:51.377906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters5
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row붕붕뜀틀 2
ValueCountFrequency (%)
붕붕뜀틀 1
50.0%
2 1
50.0%
2024-05-11T15:13:51.727155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
붕 2
33.3%
뜀 1
16.7%
틀 1
16.7%
1
16.7%
2 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
66.7%
Space Separator 1
 
16.7%
Decimal Number 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
붕 2
50.0%
뜀 1
25.0%
틀 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
66.7%
Common 2
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
붕 2
50.0%
뜀 1
25.0%
틀 1
25.0%
Common
ValueCountFrequency (%)
1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
66.7%
ASCII 2
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
붕 2
50.0%
뜀 1
25.0%
틀 1
25.0%
ASCII
ValueCountFrequency (%)
1
50.0%
2 1
50.0%

놀이시설수
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
12 
<NA>
8 
1
3 
3
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 12
50.0%
<NA> 8
33.3%
1 3
 
12.5%
3 1
 
4.2%

Length

2024-05-11T15:13:51.877324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:52.011915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
50.0%
na 8
33.3%
1 3
 
12.5%
3 1
 
4.2%

방송시설유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size180.0 B
True
 
1
(Missing)
23 
ValueCountFrequency (%)
True 1
 
4.2%
(Missing) 23
95.8%
2024-05-11T15:13:52.132925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

안내소유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size180.0 B
True
 
1
(Missing)
23 
ValueCountFrequency (%)
True 1
 
4.2%
(Missing) 23
95.8%
2024-05-11T15:13:52.254031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자본금
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
16 
<NA>
8 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
66.7%
<NA> 8
33.3%

Length

2024-05-11T15:13:52.403183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:52.572951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
66.7%
na 8
33.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)43.8%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean145.0625
Minimum0
Maximum1326
Zeros10
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:13:52.715332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q388.5
95-th percentile821.25
Maximum1326
Range1326
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation354.73793
Coefficient of variation (CV)2.4454144
Kurtosis8.9774488
Mean145.0625
Median Absolute Deviation (MAD)0
Skewness2.9776239
Sum2321
Variance125839
MonotonicityNot monotonic
2024-05-11T15:13:52.871521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 10
41.7%
1326 1
 
4.2%
99 1
 
4.2%
150 1
 
4.2%
653 1
 
4.2%
85 1
 
4.2%
8 1
 
4.2%
(Missing) 8
33.3%
ValueCountFrequency (%)
0 10
41.7%
8 1
 
4.2%
85 1
 
4.2%
99 1
 
4.2%
150 1
 
4.2%
653 1
 
4.2%
1326 1
 
4.2%
ValueCountFrequency (%)
1326 1
 
4.2%
653 1
 
4.2%
150 1
 
4.2%
99 1
 
4.2%
85 1
 
4.2%
8 1
 
4.2%
0 10
41.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03180000CDFI527200201000000120101230<NA>3폐업3폐업20110817<NA><NA><NA>2068-2313<NA>150033서울특별시 영등포구 영등포동3가 7-25번지 텔리타운 203~204호서울특별시 영등포구 영중로10길 6 (영등포동3가,텔리타운 203~204호)<NA>놀이랜드2011-08-17 14:27:51I2018-08-31 23:59:59.0<NA>191636.053346446315.067198신고유원시설업<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
13180000CDFI527200201200000120120717<NA>3폐업3폐업20120910<NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 82-3<NA><NA>한성레포츠2012-09-10 09:30:24I2018-08-31 23:59:59.0<NA><NA><NA>신고유원시설업<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
23180000CDFI527200201400000120140128<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 82-3번지<NA><NA>여의도 눈썰매장2015-12-17 18:08:46I2018-08-31 23:59:59.0<NA>192777.796182447953.45795신고유원시설업<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
33180000CDFI527200201400000220140219<NA>3폐업3폐업20190708<NA><NA><NA>02-2638-2615<NA>150798서울특별시 영등포구 영등포동4가 442번지 타임스퀘어 지하2층서울특별시 영등포구 영중로 15 (영등포동4가, 타임스퀘어 지하2층)7305(주)미래엔에듀케어 딸기가좋아 타임스퀘어점2019-07-09 16:07:47U2019-07-11 02:40:00.0<NA>191385.057392446098.555927신고유원시설업<NA>일반상업지역25유흥업소밀집지역<NA><NA>유통시설0200<NA><NA>00<NA>00<NA>01326.0<NA>1<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>1326
43180000CDFI527200201400000320140501<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 23-1번지 콘래드호텔 3층서울특별시 영등포구 국제금융로 10 (여의도동, 콘래드호텔 3층)7326엠퍼니인터랙티브(주)2015-12-17 18:09:54I2018-08-31 23:59:59.0<NA>193407.473068447036.978914신고유원시설업<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
53180000CDFI527200201400000420140818<NA>3폐업3폐업20140824<NA><NA><NA><NA><NA>150895서울특별시 영등포구 여의도동 82-3번지<NA><NA>한강여의도수영장2016-01-14 17:25:50I2018-08-31 23:59:59.0<NA>192777.796182447953.45795신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>1<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
63180000CDFI527200201400000520141204<NA>2휴업2휴업<NA>2019010920220108<NA>070-4348-2048<NA>150945서울특별시 영등포구 여의도동 23번지 여의도 국제금융센터서울특별시 영등포구 국제금융로 10 (여의도동, 여의도 국제금융센터)7326EBS KIDSVILL2019-01-09 17:06:36U2019-01-11 02:40:00.0<NA>193326.931019446973.91457신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>099.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>99
73180000CDFI527200201500000120150226<NA>4취소/말소/만료/정지/중지35직권말소20220325<NA><NA><NA>070-8871-2971<NA>150839서울특별시 영등포구 신길동 110-2서울특별시 영등포구 도신로65길 2 (신길동)7317키즈공간2022-03-25 10:34:02U2022-03-27 02:40:00.0<NA>192634.223362445636.584467신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0149.65<NA>1<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>150
83180000CDFI527200201500000220150511<NA>3폐업3폐업20211130<NA><NA><NA><NA><NA>150840서울특별시 영등포구 신길동 154-9서울특별시 영등포구 도신로56길 12, 지하층 1호 (신길동)7348방방스토리2022-04-22 15:07:50U2021-12-03 22:04:00.0<NA>192497.07483445393.800275<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>
93180000CDFI527200201500000320150831<NA>3폐업3폐업20160704<NA><NA><NA>02-2636-0970<NA><NA>서울특별시 영등포구 문래동3가 55-3번지 지하2층, 홈플러스 영등포점서울특별시 영등포구 당산로 42, 지하2층 (문래동3가, 홈플러스)7297키즈스포츠클럽 챔피언2016-07-06 17:17:43I2018-08-31 23:59:59.0<NA>190729.506453446227.075041신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0653.3<NA>0Y<NA><NA>Y<NA><NA>0<NA><NA><NA>653
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
143180000CDFI527200201800000120180430<NA>3폐업3폐업20200130<NA><NA><NA>070-7655-1101<NA><NA>서울특별시 영등포구 여의도동 18번지 한국방송공사서울특별시 영등포구 여의공원로 13, 한국방송공사 자료동 1층 (여의도동)7235K-STAR VR2020-02-03 13:34:16U2020-02-05 02:40:00.0<NA>192538.786642447017.159179신고유원시설업<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
153180000CDFI527200201800000220180726<NA>3폐업3폐업20200122<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 233-173번지서울특별시 영등포구 신길로 163, 3층 (신길동)7387대호키즈점프2020-01-22 16:41:49U2020-01-24 02:40:00.0<NA>192045.6996444953.957846신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>084.73붕붕뜀틀 20<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>85
163180000CDFI52720020200000012020-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2068-4173<NA><NA>서울특별시 영등포구 영등포동8가 62-1 롯데마트서울특별시 영등포구 영중로 125, 롯데마트 2층 (영등포동8가)7228(주)뽀로로파크 빅마켓 영등포점2024-04-25 10:45:06U2023-12-03 22:07:00.0<NA>191503.386112447289.548355<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>
173180000CDFI527200202000000220200528<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3468-1234<NA><NA>서울특별시 영등포구 영등포동4가 442번지 타임스퀘어서울특별시 영등포구 영중로 15, 타임스퀘어 지하1층 (영등포동4가)7305(주)케이커머스2020-06-02 10:32:04U2020-06-04 02:40:00.0<NA>191385.057392446098.555927신고유원시설업<NA>전용공업지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>08.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>8
183180000CDFI527200202000000320200702<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2630-6867<NA><NA>서울특별시 영등포구 영등포동 618-496 영등포 민자역사서울특별시 영등포구 경인로 846, 영등포 민자역사 8층 (영등포동)7306리틀마운틴 영등포점2023-01-17 14:27:09U2022-11-30 23:09:00.0<NA>191741.345848445970.307641<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>
193180000CDFI52720020210000012021-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2631-0973<NA><NA>서울특별시 영등포구 영등포동4가 442 타임스퀘어서울특별시 영등포구 영중로 15, 타임스퀘어 4층 (영등포동4가)7305챔피언 더 블랙벨트2024-02-20 17:24:44U2023-12-01 22:02:00.0<NA>191385.057392446098.555927<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>
203180000CDFI52720020230000012023-06-22<NA>3폐업3폐업2023-12-13<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 82-1 영등포수난구조대서울특별시 영등포구 여의서로 94 (여의도동)7231한강 수영장2023-12-13 15:55:00U2022-11-01 23:05:00.0<NA>192756.713979448232.143837<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>
213180000CDFI52720020230000022023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7777-8982<NA><NA>서울특별시 영등포구 대림동 1132 영등포자이르네서울특별시 영등포구 시흥대로 625, 2층 (대림동, 영등포자이르네)7444서울형 키즈카페 대림2동점2024-04-25 10:42:38U2023-12-03 22:07:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223180000CDFI52720020230000032023-12-21<NA>3폐업3폐업2024-03-06<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 82-1 여의도 한강수영장서울특별시 영등포구 여의서로 94, 여의도 한강수영장 (여의도동)7231여의도 눈썰매장2024-03-08 10:24:37U2023-12-02 23:00:00.0<NA>192756.713979448232.143837<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>
233180000CDFI52720020240000012024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 61 여의도금호리첸시아서울특별시 영등포구 여의동로 213, 지하 104호 (여의도동, 여의도금호리첸시아)7345엘스 키즈2024-04-12 16:29:38I2023-12-03 23:04:00.0<NA>194592.27675446268.48121<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>