Overview

Dataset statistics

Number of variables60
Number of observations80
Missing cells2108
Missing cells (%)43.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.0 KiB
Average record size in memory524.6 B

Variable types

Categorical22
Text6
DateTime4
Unsupported22
Numeric6

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16855/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (65.3%)Imbalance
객실수 is highly imbalanced (61.6%)Imbalance
건축연면적 is highly imbalanced (61.6%)Imbalance
선박총톤수 is highly imbalanced (61.6%)Imbalance
선박척수 is highly imbalanced (61.6%)Imbalance
무대면적 is highly imbalanced (61.6%)Imbalance
좌석수 is highly imbalanced (61.6%)Imbalance
회의실별동시수용인원 is highly imbalanced (61.6%)Imbalance
놀이시설수 is highly imbalanced (61.6%)Imbalance
자본금 is highly imbalanced (61.6%)Imbalance
인허가취소일자 has 80 (100.0%) missing valuesMissing
폐업일자 has 41 (51.2%) missing valuesMissing
휴업시작일자 has 80 (100.0%) missing valuesMissing
휴업종료일자 has 80 (100.0%) missing valuesMissing
재개업일자 has 80 (100.0%) missing valuesMissing
전화번호 has 15 (18.8%) missing valuesMissing
소재지면적 has 80 (100.0%) missing valuesMissing
소재지우편번호 has 65 (81.2%) missing valuesMissing
도로명주소 has 8 (10.0%) missing valuesMissing
도로명우편번호 has 17 (21.2%) missing valuesMissing
업태구분명 has 80 (100.0%) missing valuesMissing
좌표정보(X) has 8 (10.0%) missing valuesMissing
좌표정보(Y) has 8 (10.0%) missing valuesMissing
총층수 has 53 (66.2%) missing valuesMissing
주변환경명 has 76 (95.0%) missing valuesMissing
제작취급품목내용 has 80 (100.0%) missing valuesMissing
보험기관명 has 80 (100.0%) missing valuesMissing
지상층수 has 57 (71.2%) missing valuesMissing
영문상호명 has 80 (100.0%) missing valuesMissing
영문상호주소 has 80 (100.0%) missing valuesMissing
선박제원 has 80 (100.0%) missing valuesMissing
기념품종류 has 80 (100.0%) missing valuesMissing
놀이기구수내역 has 80 (100.0%) missing valuesMissing
방송시설유무 has 80 (100.0%) missing valuesMissing
발전시설유무 has 80 (100.0%) missing valuesMissing
의무실유무 has 80 (100.0%) missing valuesMissing
안내소유무 has 80 (100.0%) missing valuesMissing
기획여행보험시작일자 has 80 (100.0%) missing valuesMissing
기획여행보험종료일자 has 80 (100.0%) missing valuesMissing
보험시작일자 has 80 (100.0%) missing valuesMissing
보험종료일자 has 80 (100.0%) missing valuesMissing
부대시설내역 has 80 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 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
안내소유무 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
총층수 has 12 (15.0%) zerosZeros
지상층수 has 13 (16.2%) zerosZeros

Reproduction

Analysis started2024-05-11 02:56:43.454577
Analysis finished2024-05-11 02:56:44.961680
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3130000
80 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 80
100.0%

Length

2024-05-11T02:56:45.253699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:45.597603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 80
100.0%

관리번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T02:56:46.016272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1600
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

Unique80 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001964000001
2nd rowCDFE1230001991000001
3rd rowCDFE1230001991000002
4th rowCDFE1230001996000001
5th rowCDFE1230001996000002
ValueCountFrequency (%)
cdfe1230001964000001 1
 
1.2%
cdfe1230001991000001 1
 
1.2%
cdfe1230002019000001 1
 
1.2%
cdfe1230002018000001 1
 
1.2%
cdfe1230002017000002 1
 
1.2%
cdfe1230002017000001 1
 
1.2%
cdfe1230002016000001 1
 
1.2%
cdfe1230002015000004 1
 
1.2%
cdfe1230002015000003 1
 
1.2%
cdfe1230002019000002 1
 
1.2%
Other values (70) 70
87.5%
2024-05-11T02:56:47.116762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 734
45.9%
2 208
 
13.0%
1 174
 
10.9%
3 102
 
6.4%
C 80
 
5.0%
D 80
 
5.0%
F 80
 
5.0%
E 80
 
5.0%
9 18
 
1.1%
4 15
 
0.9%
Other values (4) 29
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1280
80.0%
Uppercase Letter 320
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 734
57.3%
2 208
 
16.2%
1 174
 
13.6%
3 102
 
8.0%
9 18
 
1.4%
4 15
 
1.2%
6 9
 
0.7%
5 9
 
0.7%
7 7
 
0.5%
8 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 80
25.0%
D 80
25.0%
F 80
25.0%
E 80
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
80.0%
Latin 320
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 734
57.3%
2 208
 
16.2%
1 174
 
13.6%
3 102
 
8.0%
9 18
 
1.4%
4 15
 
1.2%
6 9
 
0.7%
5 9
 
0.7%
7 7
 
0.5%
8 4
 
0.3%
Latin
ValueCountFrequency (%)
C 80
25.0%
D 80
25.0%
F 80
25.0%
E 80
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 734
45.9%
2 208
 
13.0%
1 174
 
10.9%
3 102
 
6.4%
C 80
 
5.0%
D 80
 
5.0%
F 80
 
5.0%
E 80
 
5.0%
9 18
 
1.1%
4 15
 
0.9%
Other values (4) 29
 
1.8%

인허가일자
Date

Distinct74
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1964-04-23 00:00:00
Maximum2024-02-13 00:00:00
2024-05-11T02:56:47.542184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:56:47.997601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
1
40 
3
39 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
50.0%
3 39
48.8%
4 1
 
1.2%

Length

2024-05-11T02:56:48.412221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:48.965836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
50.0%
3 39
48.8%
4 1
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업/정상
40 
폐업
39 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length9.5
Mean length3.65
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 40
50.0%
폐업 39
48.8%
취소/말소/만료/정지/중지 1
 
1.2%

Length

2024-05-11T02:56:49.337682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:49.680927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
50.0%
폐업 39
48.8%
취소/말소/만료/정지/중지 1
 
1.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
13
40 
3
39 
35
 
1

Length

Max length2
Median length2
Mean length1.5125
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 40
50.0%
3 39
48.8%
35 1
 
1.2%

Length

2024-05-11T02:56:50.048342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:50.384771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 40
50.0%
3 39
48.8%
35 1
 
1.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업중
40 
폐업
39 
직권말소
 
1

Length

Max length4
Median length3.5
Mean length2.525
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 40
50.0%
폐업 39
48.8%
직권말소 1
 
1.2%

Length

2024-05-11T02:56:50.810656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:56:51.168537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 40
50.0%
폐업 39
48.8%
직권말소 1
 
1.2%

폐업일자
Date

MISSING 

Distinct31
Distinct (%)79.5%
Missing41
Missing (%)51.2%
Memory size772.0 B
Minimum1999-12-16 00:00:00
Maximum2023-12-08 00:00:00
2024-05-11T02:56:51.703664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:56:52.082450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전화번호
Text

MISSING 

Distinct52
Distinct (%)80.0%
Missing15
Missing (%)18.8%
Memory size772.0 B
2024-05-11T02:56:52.694864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.492308
Min length8

Characters and Unicode

Total characters682
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

Unique44 ?
Unique (%)67.7%

Sample

1st row715-4551
2nd row320-2511
3rd row338-4181
4th row320-2511
5th row320-2511
ValueCountFrequency (%)
320-2511 7
 
10.8%
02-705-8743 2
 
3.1%
070-8150-2979 2
 
3.1%
747-5161 2
 
3.1%
02-6357-0001 2
 
3.1%
02-3274-8609 2
 
3.1%
572-3696 2
 
3.1%
715-4551 2
 
3.1%
02-309-3355 1
 
1.5%
070-8237-6082 1
 
1.5%
Other values (42) 42
64.6%
2024-05-11T02:56:53.624498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 113
16.6%
2 106
15.5%
0 98
14.4%
3 77
11.3%
1 61
8.9%
7 52
7.6%
5 47
6.9%
8 34
 
5.0%
9 33
 
4.8%
6 31
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 569
83.4%
Dash Punctuation 113
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 106
18.6%
0 98
17.2%
3 77
13.5%
1 61
10.7%
7 52
9.1%
5 47
8.3%
8 34
 
6.0%
9 33
 
5.8%
6 31
 
5.4%
4 30
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 113
16.6%
2 106
15.5%
0 98
14.4%
3 77
11.3%
1 61
8.9%
7 52
7.6%
5 47
6.9%
8 34
 
5.0%
9 33
 
4.8%
6 31
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 113
16.6%
2 106
15.5%
0 98
14.4%
3 77
11.3%
1 61
8.9%
7 52
7.6%
5 47
6.9%
8 34
 
5.0%
9 33
 
4.8%
6 31
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)73.3%
Missing65
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean121798
Minimum121252
Maximum121894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T02:56:53.997000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121252
5-th percentile121639.8
Q1121807
median121837
Q3121845
95-th percentile121884.2
Maximum121894
Range642
Interquartile range (IQR)38

Descriptive statistics

Standard deviation153.62989
Coefficient of variation (CV)0.0012613499
Kurtosis13.798786
Mean121798
Median Absolute Deviation (MAD)30
Skewness-3.6470311
Sum1826970
Variance23602.143
MonotonicityNot monotonic
2024-05-11T02:56:54.352228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
121807 3
 
3.8%
121819 2
 
2.5%
121837 2
 
2.5%
121875 1
 
1.2%
121880 1
 
1.2%
121894 1
 
1.2%
121252 1
 
1.2%
121849 1
 
1.2%
121841 1
 
1.2%
121840 1
 
1.2%
(Missing) 65
81.2%
ValueCountFrequency (%)
121252 1
 
1.2%
121806 1
 
1.2%
121807 3
3.8%
121819 2
2.5%
121837 2
2.5%
121840 1
 
1.2%
121841 1
 
1.2%
121849 1
 
1.2%
121875 1
 
1.2%
121880 1
 
1.2%
ValueCountFrequency (%)
121894 1
 
1.2%
121880 1
 
1.2%
121875 1
 
1.2%
121849 1
 
1.2%
121841 1
 
1.2%
121840 1
 
1.2%
121837 2
2.5%
121819 2
2.5%
121807 3
3.8%
121806 1
 
1.2%

지번주소
Text

Distinct71
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T02:56:55.064030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length24.675
Min length7

Characters and Unicode

Total characters1974
Distinct characters133
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

Unique65 ?
Unique (%)81.2%

Sample

1st row3-31번지 1통8반
2nd row서울특별시 마포구 노고산동 57-1번지
3rd row서울특별시 마포구 노고산동 49-20번지 지층호
4th row57-1번지
5th row57-1번지
ValueCountFrequency (%)
마포구 73
19.5%
서울특별시 73
19.5%
서교동 41
 
11.0%
지하1층 22
 
5.9%
노고산동 7
 
1.9%
57-1번지 7
 
1.9%
합정동 4
 
1.1%
성산동 4
 
1.1%
2층 3
 
0.8%
창전동 3
 
0.8%
Other values (118) 137
36.6%
2024-05-11T02:56:56.183643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
352
 
17.8%
서 121
 
6.1%
1 88
 
4.5%
3 78
 
4.0%
동 77
 
3.9%
지 77
 
3.9%
마 74
 
3.7%
구 74
 
3.7%
별 74
 
3.7%
시 73
 
3.7%
Other values (123) 886
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1126
57.0%
Decimal Number 377
 
19.1%
Space Separator 352
 
17.8%
Dash Punctuation 73
 
3.7%
Uppercase Letter 28
 
1.4%
Lowercase Letter 9
 
0.5%
Other Punctuation 7
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 121
 
10.7%
동 77
 
6.8%
지 77
 
6.8%
마 74
 
6.6%
구 74
 
6.6%
별 74
 
6.6%
시 73
 
6.5%
포 73
 
6.5%
울 73
 
6.5%
특 73
 
6.5%
Other values (80) 337
29.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
14.3%
L 2
 
7.1%
O 2
 
7.1%
G 2
 
7.1%
P 2
 
7.1%
D 2
 
7.1%
E 2
 
7.1%
C 2
 
7.1%
U 1
 
3.6%
H 1
 
3.6%
Other values (8) 8
28.6%
Decimal Number
ValueCountFrequency (%)
1 88
23.3%
3 78
20.7%
2 39
10.3%
5 36
9.5%
4 26
 
6.9%
9 24
 
6.4%
7 24
 
6.4%
0 22
 
5.8%
6 21
 
5.6%
8 19
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
u 2
22.2%
q 1
11.1%
a 1
11.1%
r 1
11.1%
l 1
11.1%
s 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
? 1
 
14.3%
. 1
 
14.3%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1126
57.0%
Common 811
41.1%
Latin 37
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 121
 
10.7%
동 77
 
6.8%
지 77
 
6.8%
마 74
 
6.6%
구 74
 
6.6%
별 74
 
6.6%
시 73
 
6.5%
포 73
 
6.5%
울 73
 
6.5%
특 73
 
6.5%
Other values (80) 337
29.9%
Latin
ValueCountFrequency (%)
S 4
 
10.8%
L 2
 
5.4%
O 2
 
5.4%
G 2
 
5.4%
e 2
 
5.4%
P 2
 
5.4%
u 2
 
5.4%
D 2
 
5.4%
E 2
 
5.4%
C 2
 
5.4%
Other values (15) 15
40.5%
Common
ValueCountFrequency (%)
352
43.4%
1 88
 
10.9%
3 78
 
9.6%
- 73
 
9.0%
2 39
 
4.8%
5 36
 
4.4%
4 26
 
3.2%
9 24
 
3.0%
7 24
 
3.0%
0 22
 
2.7%
Other values (8) 49
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1126
57.0%
ASCII 848
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
352
41.5%
1 88
 
10.4%
3 78
 
9.2%
- 73
 
8.6%
2 39
 
4.6%
5 36
 
4.2%
4 26
 
3.1%
9 24
 
2.8%
7 24
 
2.8%
0 22
 
2.6%
Other values (33) 86
 
10.1%
Hangul
ValueCountFrequency (%)
서 121
 
10.7%
동 77
 
6.8%
지 77
 
6.8%
마 74
 
6.6%
구 74
 
6.6%
별 74
 
6.6%
시 73
 
6.5%
포 73
 
6.5%
울 73
 
6.5%
특 73
 
6.5%
Other values (80) 337
29.9%

도로명주소
Text

MISSING 

Distinct67
Distinct (%)93.1%
Missing8
Missing (%)10.0%
Memory size772.0 B
2024-05-11T02:56:56.851552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length33.166667
Min length24

Characters and Unicode

Total characters2388
Distinct characters160
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

Unique62 ?
Unique (%)86.1%

Sample

1st row서울특별시 마포구 신촌로 94 (노고산동)
2nd row서울특별시 마포구 신촌로12가길 29, 지층호 (노고산동)
3rd row서울특별시 마포구 신촌로 94 (노고산동)
4th row서울특별시 마포구 동교로 191 (동교동)
5th row서울특별시 마포구 동교로 191 (동교동)
ValueCountFrequency (%)
서울특별시 72
 
15.4%
마포구 72
 
15.4%
서교동 41
 
8.8%
지하1층 31
 
6.6%
와우산로 8
 
1.7%
양화로 7
 
1.5%
노고산동 7
 
1.5%
잔다리로 6
 
1.3%
2층 5
 
1.1%
지하 5
 
1.1%
Other values (150) 214
45.7%
2024-05-11T02:56:57.709502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
17.0%
서 119
 
5.0%
, 84
 
3.5%
1 84
 
3.5%
동 82
 
3.4%
마 81
 
3.4%
울 77
 
3.2%
포 75
 
3.1%
) 73
 
3.1%
( 73
 
3.1%
Other values (150) 1235
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1430
59.9%
Space Separator 405
 
17.0%
Decimal Number 275
 
11.5%
Other Punctuation 88
 
3.7%
Close Punctuation 73
 
3.1%
Open Punctuation 73
 
3.1%
Uppercase Letter 25
 
1.0%
Lowercase Letter 13
 
0.5%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 119
 
8.3%
동 82
 
5.7%
마 81
 
5.7%
울 77
 
5.4%
포 75
 
5.2%
시 73
 
5.1%
별 73
 
5.1%
구 73
 
5.1%
특 72
 
5.0%
로 70
 
4.9%
Other values (112) 635
44.4%
Uppercase Letter
ValueCountFrequency (%)
G 3
12.0%
B 3
12.0%
P 3
12.0%
S 3
12.0%
D 2
8.0%
J 2
8.0%
U 2
8.0%
M 1
 
4.0%
T 1
 
4.0%
Y 1
 
4.0%
Other values (4) 4
16.0%
Decimal Number
ValueCountFrequency (%)
1 84
30.5%
2 54
19.6%
3 25
 
9.1%
4 20
 
7.3%
5 18
 
6.5%
0 17
 
6.2%
9 17
 
6.2%
8 15
 
5.5%
6 14
 
5.1%
7 11
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
u 3
23.1%
l 2
15.4%
s 2
15.4%
r 1
 
7.7%
a 1
 
7.7%
q 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 84
95.5%
/ 3
 
3.4%
? 1
 
1.1%
Space Separator
ValueCountFrequency (%)
405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1430
59.9%
Common 920
38.5%
Latin 38
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 119
 
8.3%
동 82
 
5.7%
마 81
 
5.7%
울 77
 
5.4%
포 75
 
5.2%
시 73
 
5.1%
별 73
 
5.1%
구 73
 
5.1%
특 72
 
5.0%
로 70
 
4.9%
Other values (112) 635
44.4%
Latin
ValueCountFrequency (%)
G 3
 
7.9%
B 3
 
7.9%
e 3
 
7.9%
u 3
 
7.9%
P 3
 
7.9%
S 3
 
7.9%
l 2
 
5.3%
D 2
 
5.3%
s 2
 
5.3%
J 2
 
5.3%
Other values (11) 12
31.6%
Common
ValueCountFrequency (%)
405
44.0%
, 84
 
9.1%
1 84
 
9.1%
) 73
 
7.9%
( 73
 
7.9%
2 54
 
5.9%
3 25
 
2.7%
4 20
 
2.2%
5 18
 
2.0%
0 17
 
1.8%
Other values (7) 67
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1430
59.9%
ASCII 958
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
42.3%
, 84
 
8.8%
1 84
 
8.8%
) 73
 
7.6%
( 73
 
7.6%
2 54
 
5.6%
3 25
 
2.6%
4 20
 
2.1%
5 18
 
1.9%
0 17
 
1.8%
Other values (28) 105
 
11.0%
Hangul
ValueCountFrequency (%)
서 119
 
8.3%
동 82
 
5.7%
마 81
 
5.7%
울 77
 
5.4%
포 75
 
5.2%
시 73
 
5.1%
별 73
 
5.1%
구 73
 
5.1%
특 72
 
5.0%
로 70
 
4.9%
Other values (112) 635
44.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)61.9%
Missing17
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean13399.698
Minimum3914
Maximum121841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T02:56:58.120770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3914
5-th percentile3997.3
Q14039.5
median4048
Q34069.5
95-th percentile121833.9
Maximum121841
Range117927
Interquartile range (IQR)30

Descriptive statistics

Standard deviation32092.631
Coefficient of variation (CV)2.3950263
Kurtosis8.4346223
Mean13399.698
Median Absolute Deviation (MAD)10
Skewness3.1886858
Sum844181
Variance1.0299369 × 109
MonotonicityNot monotonic
2024-05-11T02:56:58.616944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4054 4
 
5.0%
4043 4
 
5.0%
4042 3
 
3.8%
4040 3
 
3.8%
4038 3
 
3.8%
4036 2
 
2.5%
4044 2
 
2.5%
4107 2
 
2.5%
4053 2
 
2.5%
4067 2
 
2.5%
Other values (29) 36
45.0%
(Missing) 17
21.2%
ValueCountFrequency (%)
3914 2
2.5%
3969 1
 
1.2%
3995 1
 
1.2%
4018 1
 
1.2%
4026 1
 
1.2%
4027 1
 
1.2%
4034 1
 
1.2%
4035 1
 
1.2%
4036 2
2.5%
4038 3
3.8%
ValueCountFrequency (%)
121841 1
1.2%
121840 1
1.2%
121837 2
2.5%
121806 1
1.2%
4208 1
1.2%
4155 1
1.2%
4136 2
2.5%
4108 1
1.2%
4107 2
2.5%
4102 1
1.2%

사업장명
Text

Distinct73
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T02:56:59.078860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.975
Min length3

Characters and Unicode

Total characters638
Distinct characters196
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)87.5%

Sample

1st row영화나라
2nd row정도진흥기업(주)신촌그랜드시네마
3rd row현대비디오소극장
4th row신촌그랜드시네마
5th row신촌그랜드시네마
ValueCountFrequency (%)
신촌그랜드시네마 6
 
4.8%
소극장 6
 
4.8%
라이브홀 4
 
3.2%
스페이스 2
 
1.6%
신한카드 2
 
1.6%
sol페이 2
 
1.6%
스퀘어 2
 
1.6%
드림홀 2
 
1.6%
메리홀 2
 
1.6%
영화나라 2
 
1.6%
Other values (94) 96
76.2%
2024-05-11T02:56:59.909623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
7.2%
홀 23
 
3.6%
이 22
 
3.4%
극 19
 
3.0%
스 19
 
3.0%
장 18
 
2.8%
소 14
 
2.2%
트 14
 
2.2%
아 12
 
1.9%
마 12
 
1.9%
Other values (186) 439
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
78.5%
Uppercase Letter 61
 
9.6%
Space Separator 46
 
7.2%
Lowercase Letter 11
 
1.7%
Open Punctuation 8
 
1.3%
Close Punctuation 8
 
1.3%
Other Punctuation 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 23
 
4.6%
이 22
 
4.4%
극 19
 
3.8%
스 19
 
3.8%
장 18
 
3.6%
소 14
 
2.8%
트 14
 
2.8%
아 12
 
2.4%
마 12
 
2.4%
드 11
 
2.2%
Other values (150) 337
67.3%
Uppercase Letter
ValueCountFrequency (%)
A 6
 
9.8%
G 5
 
8.2%
S 5
 
8.2%
L 5
 
8.2%
J 4
 
6.6%
D 4
 
6.6%
I 4
 
6.6%
E 4
 
6.6%
B 3
 
4.9%
P 3
 
4.9%
Other values (10) 18
29.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
9.1%
z 1
9.1%
i 1
9.1%
t 1
9.1%
o 1
9.1%
e 1
9.1%
r 1
9.1%
f 1
9.1%
y 1
9.1%
n 1
9.1%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 501
78.5%
Latin 72
 
11.3%
Common 65
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 23
 
4.6%
이 22
 
4.4%
극 19
 
3.8%
스 19
 
3.8%
장 18
 
3.6%
소 14
 
2.8%
트 14
 
2.8%
아 12
 
2.4%
마 12
 
2.4%
드 11
 
2.2%
Other values (150) 337
67.3%
Latin
ValueCountFrequency (%)
A 6
 
8.3%
G 5
 
6.9%
S 5
 
6.9%
L 5
 
6.9%
J 4
 
5.6%
D 4
 
5.6%
I 4
 
5.6%
E 4
 
5.6%
B 3
 
4.2%
P 3
 
4.2%
Other values (21) 29
40.3%
Common
ValueCountFrequency (%)
46
70.8%
( 8
 
12.3%
) 8
 
12.3%
' 2
 
3.1%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
78.2%
ASCII 137
 
21.5%
Compat Jamo 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
33.6%
( 8
 
5.8%
) 8
 
5.8%
A 6
 
4.4%
G 5
 
3.6%
S 5
 
3.6%
L 5
 
3.6%
J 4
 
2.9%
D 4
 
2.9%
I 4
 
2.9%
Other values (26) 42
30.7%
Hangul
ValueCountFrequency (%)
홀 23
 
4.6%
이 22
 
4.4%
극 19
 
3.8%
스 19
 
3.8%
장 18
 
3.6%
소 14
 
2.8%
트 14
 
2.8%
아 12
 
2.4%
마 12
 
2.4%
드 11
 
2.2%
Other values (148) 335
67.1%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
50.0%
ㅎ 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2003-04-18 14:56:25
Maximum2024-03-06 17:52:07
2024-05-11T02:57:00.310283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:57:00.787982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
I
49 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 49
61.3%
U 31
38.8%

Length

2024-05-11T02:57:01.267684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:01.589891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 49
61.3%
u 31
38.8%

데이터갱신일자
Date

Distinct41
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-05-11T02:57:02.063417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:57:02.514114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)83.3%
Missing8
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean193126.02
Minimum190592.13
Maximum196504.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T02:57:02.927017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190592.13
5-th percentile191505.68
Q1192640.98
median193050.27
Q3193622.48
95-th percentile194814.18
Maximum196504.1
Range5911.9675
Interquartile range (IQR)981.49834

Descriptive statistics

Standard deviation1020.5626
Coefficient of variation (CV)0.0052844387
Kurtosis1.5808891
Mean193126.02
Median Absolute Deviation (MAD)418.55127
Skewness0.3174716
Sum13905073
Variance1041548
MonotonicityNot monotonic
2024-05-11T02:57:03.365559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191010.381048042 2
 
2.5%
194564.277152493 2
 
2.5%
192828.670748802 2
 
2.5%
193204.898870632 2
 
2.5%
192846.735237987 2
 
2.5%
193426.386341099 2
 
2.5%
192311.642580307 2
 
2.5%
192640.977688405 2
 
2.5%
193052.067569122 2
 
2.5%
194273.598098938 2
 
2.5%
Other values (50) 52
65.0%
(Missing) 8
 
10.0%
ValueCountFrequency (%)
190592.127862501 1
1.2%
190697.320033697 1
1.2%
191010.381048042 2
2.5%
191910.919353346 1
1.2%
191915.925383386 1
1.2%
191972.21226346 1
1.2%
192036.792496455 1
1.2%
192085.635166001 1
1.2%
192311.642580307 2
2.5%
192316.339272926 1
1.2%
ValueCountFrequency (%)
196504.095392656 1
1.2%
195234.702073665 1
1.2%
195119.614697982 2
2.5%
194564.277152493 2
2.5%
194523.800088186 1
1.2%
194496.168417802 1
1.2%
194474.557052987 1
1.2%
194273.598098938 2
2.5%
194112.221202772 1
1.2%
194039.464399301 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)83.3%
Missing8
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean450117.28
Minimum449043.72
Maximum452533.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T02:57:03.845230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449043.72
5-th percentile449539.54
Q1449854.73
median450025.89
Q3450220.43
95-th percentile451329.72
Maximum452533.37
Range3489.647
Interquartile range (IQR)365.69592

Descriptive statistics

Standard deviation579.94443
Coefficient of variation (CV)0.0012884296
Kurtosis6.9438731
Mean450117.28
Median Absolute Deviation (MAD)175.8087
Skewness2.2655516
Sum32408444
Variance336335.54
MonotonicityNot monotonic
2024-05-11T02:57:04.214948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451972.154018501 2
 
2.5%
449886.700377146 2
 
2.5%
449886.49476413 2
 
2.5%
449852.007649469 2
 
2.5%
449930.292956528 2
 
2.5%
450153.498139891 2
 
2.5%
449855.643910445 2
 
2.5%
449935.631575753 2
 
2.5%
450096.939208639 2
 
2.5%
450318.724130121 2
 
2.5%
Other values (50) 52
65.0%
(Missing) 8
 
10.0%
ValueCountFrequency (%)
449043.724409846 1
1.2%
449112.648582296 1
1.2%
449388.734804402 1
1.2%
449487.322323027 1
1.2%
449582.261458756 1
1.2%
449583.289109339 1
1.2%
449607.910462306 1
1.2%
449653.704695179 1
1.2%
449694.867292456 1
1.2%
449748.031084018 2
2.5%
ValueCountFrequency (%)
452533.37140104 1
1.2%
452015.682923859 1
1.2%
451972.154018501 2
2.5%
450804.09077791 1
1.2%
450594.967945622 2
2.5%
450553.390053869 1
1.2%
450502.421448506 1
1.2%
450372.847671531 1
1.2%
450318.724130121 2
2.5%
450314.071649482 1
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
공연장
59 
<NA>
21 

Length

Max length4
Median length3
Mean length3.2625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 59
73.8%
<NA> 21
 
26.2%

Length

2024-05-11T02:57:04.569243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:04.902886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 59
73.8%
na 21
 
26.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
공연장
59 
<NA>
21 

Length

Max length4
Median length3
Mean length3.2625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 59
73.8%
<NA> 21
 
26.2%

Length

2024-05-11T02:57:05.265340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:05.591818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 59
73.8%
na 21
 
26.2%

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
72 
일반주거지역
 
6
준주거지역
 
2

Length

Max length6
Median length4
Mean length4.175
Min length4

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> 72
90.0%
일반주거지역 6
 
7.5%
준주거지역 2
 
2.5%

Length

2024-05-11T02:57:05.975538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:06.296837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
90.0%
일반주거지역 6
 
7.5%
준주거지역 2
 
2.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)29.6%
Missing53
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean2.2962963
Minimum0
Maximum10
Zeros12
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T02:57:06.614093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2441049
Coefficient of variation (CV)1.4127554
Kurtosis0.46303398
Mean2.2962963
Median Absolute Deviation (MAD)1
Skewness1.3554351
Sum62
Variance10.524217
MonotonicityNot monotonic
2024-05-11T02:57:06.981039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 12
 
15.0%
1 5
 
6.2%
2 3
 
3.8%
6 2
 
2.5%
9 2
 
2.5%
4 1
 
1.2%
10 1
 
1.2%
7 1
 
1.2%
(Missing) 53
66.2%
ValueCountFrequency (%)
0 12
15.0%
1 5
6.2%
2 3
 
3.8%
4 1
 
1.2%
6 2
 
2.5%
7 1
 
1.2%
9 2
 
2.5%
10 1
 
1.2%
ValueCountFrequency (%)
10 1
 
1.2%
9 2
 
2.5%
7 1
 
1.2%
6 2
 
2.5%
4 1
 
1.2%
2 3
 
3.8%
1 5
6.2%
0 12
15.0%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing76
Missing (%)95.0%
Memory size772.0 B
2024-05-11T02:57:07.280568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6.5
Min length2

Characters and Unicode

Total characters26
Distinct characters11
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

Unique2 ?
Unique (%)50.0%

Sample

1st row학교정화(절대)
2nd row학교정화(상대)
3rd row학교정화(상대)
4th row기타
ValueCountFrequency (%)
학교정화(상대 2
50.0%
학교정화(절대 1
25.0%
기타 1
25.0%
2024-05-11T02:57:07.913091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 3
11.5%
교 3
11.5%
정 3
11.5%
화 3
11.5%
( 3
11.5%
대 3
11.5%
) 3
11.5%
상 2
7.7%
절 1
 
3.8%
기 1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
76.9%
Open Punctuation 3
 
11.5%
Close Punctuation 3
 
11.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 3
15.0%
교 3
15.0%
정 3
15.0%
화 3
15.0%
대 3
15.0%
상 2
10.0%
절 1
 
5.0%
기 1
 
5.0%
타 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
76.9%
Common 6
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 3
15.0%
교 3
15.0%
정 3
15.0%
화 3
15.0%
대 3
15.0%
상 2
10.0%
절 1
 
5.0%
기 1
 
5.0%
타 1
 
5.0%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
76.9%
ASCII 6
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 3
15.0%
교 3
15.0%
정 3
15.0%
화 3
15.0%
대 3
15.0%
상 2
10.0%
절 1
 
5.0%
기 1
 
5.0%
타 1
 
5.0%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

건물용도명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
51 
근린생활시설
25 
문화시설
 
4

Length

Max length6
Median length4
Mean length4.625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
63.7%
근린생활시설 25
31.2%
문화시설 4
 
5.0%

Length

2024-05-11T02:57:08.181498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:08.395871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
63.7%
근린생활시설 25
31.2%
문화시설 4
 
5.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)39.1%
Missing57
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean1.826087
Minimum0
Maximum8
Zeros13
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T02:57:08.581637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile6.9
Maximum8
Range8
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.6397688
Coefficient of variation (CV)1.4455877
Kurtosis0.04387374
Mean1.826087
Median Absolute Deviation (MAD)0
Skewness1.1965048
Sum42
Variance6.9683794
MonotonicityNot monotonic
2024-05-11T02:57:08.917639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 13
 
16.2%
1 2
 
2.5%
5 2
 
2.5%
2 1
 
1.2%
3 1
 
1.2%
8 1
 
1.2%
7 1
 
1.2%
4 1
 
1.2%
6 1
 
1.2%
(Missing) 57
71.2%
ValueCountFrequency (%)
0 13
16.2%
1 2
 
2.5%
2 1
 
1.2%
3 1
 
1.2%
4 1
 
1.2%
5 2
 
2.5%
6 1
 
1.2%
7 1
 
1.2%
8 1
 
1.2%
ValueCountFrequency (%)
8 1
 
1.2%
7 1
 
1.2%
6 1
 
1.2%
5 2
 
2.5%
4 1
 
1.2%
3 1
 
1.2%
2 1
 
1.2%
1 2
 
2.5%
0 13
16.2%

지하층수
Categorical

Distinct6
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
54 
0
14 
1
8 
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.025
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
67.5%
0 14
 
17.5%
1 8
 
10.0%
2 2
 
2.5%
3 1
 
1.2%
4 1
 
1.2%

Length

2024-05-11T02:57:09.305833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:09.659649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
67.5%
0 14
 
17.5%
1 8
 
10.0%
2 2
 
2.5%
3 1
 
1.2%
4 1
 
1.2%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:10.274163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:10.611732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:11.013448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:11.360584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:11.699189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:12.189659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:12.524524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:12.846383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:13.056234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:13.385874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:13.751198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:14.006699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:14.226795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:14.429312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

시설면적
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
61 
0
19 

Length

Max length4
Median length4
Mean length3.2875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
76.2%
0 19
 
23.8%

Length

2024-05-11T02:57:14.661045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:14.985868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
76.2%
0 19
 
23.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:15.220270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:15.451137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
74 
0
 
6

Length

Max length4
Median length4
Mean length3.775
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> 74
92.5%
0 6
 
7.5%

Length

2024-05-11T02:57:15.828972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:16.182541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
92.5%
0 6
 
7.5%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

시설규모
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
61 
0
19 

Length

Max length4
Median length4
Mean length3.2875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
76.2%
0 19
 
23.8%

Length

2024-05-11T02:57:16.549120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:57:16.858730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
76.2%
0 19
 
23.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03130000CDFE123000196400000119640423<NA>3폐업3폐업20030523<NA><NA><NA>715-4551<NA><NA>3-31번지 1통8반<NA><NA>영화나라2011-04-01 13:18:03I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA>근린생활시설00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
13130000CDFE123000199100000119911005<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>정도진흥기업(주)신촌그랜드시네마2011-03-08 16:03:01I2018-08-31 23:59:59.0<NA>194273.598099450318.72413공연장공연장<NA>0<NA><NA><NA>근린생활시설00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
23130000CDFE123000199100000219911031<NA>3폐업3폐업19991216<NA><NA><NA>338-4181<NA>121807서울특별시 마포구 노고산동 49-20번지 지층호서울특별시 마포구 신촌로12가길 29, 지층호 (노고산동)<NA>현대비디오소극장2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>194112.221203450372.847672공연장공연장<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33130000CDFE123000199600000119960627<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA><NA>57-1번지<NA><NA>신촌그랜드시네마2011-03-08 16:06:39I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43130000CDFE123000199600000219960627<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA><NA>57-1번지<NA><NA>신촌그랜드시네마2011-03-08 16:09:05I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA>근린생활시설00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
53130000CDFE123000199700000119970531<NA>3폐업3폐업20030523<NA><NA><NA>715-4551<NA><NA>3-31번지 1통8반<NA><NA>영화나라2011-04-01 13:19:59I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63130000CDFE123000200100000120010607<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA><NA>57-1번지<NA><NA>신촌그랜드시네마2011-03-08 16:11:04I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
73130000CDFE123000200100000220010608<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA><NA>57-1번지<NA><NA>신촌그랜드시네마2011-03-08 16:13:12I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
83130000CDFE123000200100000320010629<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA><NA>57-1번지<NA><NA>신촌그랜드시네마2011-03-08 16:17:18I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
93130000CDFE123000200100000420010629<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>신촌그랜드시네마2011-03-08 16:45:30I2018-08-31 23:59:59.0<NA>194273.598099450318.72413공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
703130000CDFE123000202100000820210820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 394-44 서교제일빌딩서울특별시 마포구 양화로 64, 서교제일빌딩 지하2층 B201호 (서교동)4045드림홀2021-08-20 10:08:45I2021-08-22 00:22:50.0<NA>192488.985145449787.214169공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
713130000CDFE12300020210000092021-09-03<NA>3폐업3폐업2023-07-31<NA><NA><NA>02-323-3644<NA><NA>서울특별시 마포구 서교동 395-174서울특별시 마포구 잔다리로3길 34, 스페이스맘 1층 (서교동)4043폼텍 웍스홀2023-08-21 10:00:36U2022-12-07 22:03:00.0<NA>192673.324253449828.80339<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>
723130000CDFE12300020210000102021-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 377-3 슬로우 로켓(SLOW ROCKET)서울특별시 마포구 잔다리로 59, 지하1층 (서교동)4034가온스테이지2024-03-06 17:52:07U2023-12-03 00:08:00.0<NA>192638.934814450094.333626<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>
733130000CDFE123000202100001120211111<NA>1영업/정상13영업중<NA><NA><NA><NA>02-705-8743<NA><NA>서울특별시 마포구 신수동 1-1 서강대학교서울특별시 마포구 백범로 35, 2층 (신수동)4107메리홀 소극장2022-08-18 13:45:49U2021-12-07 22:00:00.0<NA>194564.277152449886.700377<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>
743130000CDFE12300020220000012022-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3144-0409<NA><NA>서울특별시 마포구 서교동 368-22 서문빌딩서울특별시 마포구 잔다리로 32, 서문빌딩 지하 1층 (서교동)4042무신사 개러지2023-02-23 16:34:31U2022-12-01 22:05:00.0<NA>192846.735238449930.292957<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>
753130000CDFE123000202200000220220517<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 358-116서울특별시 마포구 어울마당로 94-8, B1층 (서교동)4040제이엘 씨어터2022-05-17 14:41:07I2021-12-04 23:09:00.0<NA>193052.067569450096.939209<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>
763130000CDFE123000202200000320220922<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 6-133서울특별시 마포구 와우산로 128, 지하 1층 (창전동)4059스페이스 한강2022-09-22 14:23:00I2021-12-08 22:04:00.0<NA>193535.599218450116.874823<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>
773130000CDFE12300020230000012023-10-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-779-9061<NA><NA>서울특별시 마포구 서교동 363-17서울특별시 마포구 어울마당로 68, 지하1층 (서교동)4041홍대스테이지(ㅎㄷSTAGE)2023-10-31 14:25:15I2022-11-01 00:02:00.0<NA>192993.338966449876.349384<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>
783130000CDFE12300020230000022023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 344-12 H?PULSE서울특별시 마포구 와우산로 97, H?PULSE 지하2층 (서교동)4055H 스테이지2023-12-07 09:08:00I2022-11-02 00:09:00.0<NA>193245.503633450096.860169<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>
793130000CDFE12300020240000012024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 360-19 지하서울특별시 마포구 와우산로18길 16, 지하층 (서교동)4067옥타바리움 라이브홀2024-02-13 15:54:29I2023-12-01 23:05:00.0<NA>193204.898871449852.007649<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>