Overview

Dataset statistics

Number of variables60
Number of observations21
Missing cells788
Missing cells (%)62.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory528.3 B

Variable types

Categorical11
Text10
DateTime3
Unsupported33
Numeric3

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-16854/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
총층수 is highly imbalanced (59.1%)Imbalance
지상층수 is highly imbalanced (65.4%)Imbalance
지하층수 is highly imbalanced (54.4%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 13 (61.9%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 9 (42.9%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 14 (66.7%) missing valuesMissing
도로명주소 has 1 (4.8%) missing valuesMissing
도로명우편번호 has 1 (4.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 2 (9.5%) missing valuesMissing
좌표정보(Y) has 2 (9.5%) missing valuesMissing
지역구분명 has 19 (90.5%) missing valuesMissing
주변환경명 has 19 (90.5%) missing valuesMissing
제작취급품목내용 has 21 (100.0%) missing valuesMissing
보험기관명 has 21 (100.0%) missing valuesMissing
건물용도명 has 15 (71.4%) missing valuesMissing
객실수 has 21 (100.0%) missing valuesMissing
건축연면적 has 21 (100.0%) missing valuesMissing
영문상호명 has 21 (100.0%) missing valuesMissing
영문상호주소 has 21 (100.0%) missing valuesMissing
선박총톤수 has 21 (100.0%) missing valuesMissing
선박척수 has 21 (100.0%) missing valuesMissing
선박제원 has 21 (100.0%) missing valuesMissing
무대면적 has 21 (100.0%) missing valuesMissing
좌석수 has 21 (100.0%) missing valuesMissing
기념품종류 has 21 (100.0%) missing valuesMissing
회의실별동시수용인원 has 21 (100.0%) missing valuesMissing
시설면적 has 21 (100.0%) missing valuesMissing
놀이기구수내역 has 21 (100.0%) missing valuesMissing
놀이시설수 has 21 (100.0%) missing valuesMissing
방송시설유무 has 21 (100.0%) missing valuesMissing
발전시설유무 has 21 (100.0%) missing valuesMissing
의무실유무 has 21 (100.0%) missing valuesMissing
안내소유무 has 21 (100.0%) missing valuesMissing
기획여행보험시작일자 has 21 (100.0%) missing valuesMissing
기획여행보험종료일자 has 21 (100.0%) missing valuesMissing
자본금 has 21 (100.0%) missing valuesMissing
보험시작일자 has 21 (100.0%) missing valuesMissing
보험종료일자 has 21 (100.0%) missing valuesMissing
부대시설내역 has 21 (100.0%) missing valuesMissing
시설규모 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 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
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 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
놀이시설수 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
자본금 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
시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:28:24.130202
Analysis finished2024-05-11 06:28:24.952865
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3120000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 21
100.0%

Length

2024-05-11T15:28:25.037082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:25.195286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T15:28:25.526508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowCDFE1230002009000001
2nd rowCDFE1230002009000002
3rd rowCDFE1230002010000001
4th rowCDFE1230002011000001
5th rowCDFE1230002011000002
ValueCountFrequency (%)
cdfe1230002009000001 1
 
4.8%
cdfe1230002017000003 1
 
4.8%
cdfe1230002023000001 1
 
4.8%
cdfe1230002021000001 1
 
4.8%
cdfe1230002020000001 1
 
4.8%
cdfe1230002018000005 1
 
4.8%
cdfe1230002018000004 1
 
4.8%
cdfe1230002018000003 1
 
4.8%
cdfe1230002018000002 1
 
4.8%
cdfe1230002018000001 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T15:28:25.982058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 193
46.0%
2 53
 
12.6%
1 51
 
12.1%
3 24
 
5.7%
C 21
 
5.0%
D 21
 
5.0%
F 21
 
5.0%
E 21
 
5.0%
8 5
 
1.2%
7 3
 
0.7%
Other values (4) 7
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
57.4%
2 53
 
15.8%
1 51
 
15.2%
3 24
 
7.1%
8 5
 
1.5%
7 3
 
0.9%
9 2
 
0.6%
5 2
 
0.6%
4 2
 
0.6%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 21
25.0%
D 21
25.0%
F 21
25.0%
E 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 193
57.4%
2 53
 
15.8%
1 51
 
15.2%
3 24
 
7.1%
8 5
 
1.5%
7 3
 
0.9%
9 2
 
0.6%
5 2
 
0.6%
4 2
 
0.6%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
C 21
25.0%
D 21
25.0%
F 21
25.0%
E 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 193
46.0%
2 53
 
12.6%
1 51
 
12.1%
3 24
 
5.7%
C 21
 
5.0%
D 21
 
5.0%
F 21
 
5.0%
E 21
 
5.0%
8 5
 
1.2%
7 3
 
0.7%
Other values (4) 7
 
1.7%

인허가일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2009-03-09 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T15:28:26.191966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:26.388662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
11 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

Length

2024-05-11T15:28:26.628607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:26.803746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
11 
폐업
10 

Length

Max length5
Median length5
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

Length

2024-05-11T15:28:26.996443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:27.162505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
11 
3
10 

Length

Max length2
Median length2
Mean length1.5238095
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 11
52.4%
3 10
47.6%

Length

2024-05-11T15:28:27.357638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:27.518704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 11
52.4%
3 10
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
11 
폐업
10 

Length

Max length3
Median length3
Mean length2.5238095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 11
52.4%
폐업 10
47.6%

Length

2024-05-11T15:28:27.709807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:27.942212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 11
52.4%
폐업 10
47.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing13
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean20189244
Minimum20160725
Maximum20210112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:28:28.082634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160725
5-th percentile20164219
Q120177774
median20195621
Q320200369
95-th percentile20206857
Maximum20210112
Range49387
Interquartile range (IQR)22595.25

Descriptive statistics

Standard deviation17127.571
Coefficient of variation (CV)0.0008483513
Kurtosis-0.82407868
Mean20189244
Median Absolute Deviation (MAD)9841
Skewness-0.64571841
Sum1.6151395 × 108
Variance2.9335368 × 108
MonotonicityNot monotonic
2024-05-11T15:28:28.290955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20200221 2
 
9.5%
20170707 1
 
4.8%
20200812 1
 
4.8%
20180129 1
 
4.8%
20160725 1
 
4.8%
20191021 1
 
4.8%
20210112 1
 
4.8%
(Missing) 13
61.9%
ValueCountFrequency (%)
20160725 1
4.8%
20170707 1
4.8%
20180129 1
4.8%
20191021 1
4.8%
20200221 2
9.5%
20200812 1
4.8%
20210112 1
4.8%
ValueCountFrequency (%)
20210112 1
4.8%
20200812 1
4.8%
20200221 2
9.5%
20191021 1
4.8%
20180129 1
4.8%
20170707 1
4.8%
20160725 1
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Memory size300.0 B
2024-05-11T15:28:28.548940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.25
Min length8

Characters and Unicode

Total characters123
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

Unique12 ?
Unique (%)100.0%

Sample

1st row744-4334
2nd row1644-2962
3rd row6364-4888
4th row739-8288
5th row02-360-8560
ValueCountFrequency (%)
744-4334 1
8.3%
1644-2962 1
8.3%
6364-4888 1
8.3%
739-8288 1
8.3%
02-360-8560 1
8.3%
02-2123-4514 1
8.3%
02-333-2701 1
8.3%
02-766-7848 1
8.3%
02-330-1114 1
8.3%
02-362-4480 1
8.3%
Other values (2) 2
16.7%
2024-05-11T15:28:29.134080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20
16.3%
0 17
13.8%
2 15
12.2%
4 14
11.4%
3 13
10.6%
6 13
10.6%
8 12
9.8%
7 7
 
5.7%
1 7
 
5.7%
9 3
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103
83.7%
Dash Punctuation 20
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
16.5%
2 15
14.6%
4 14
13.6%
3 13
12.6%
6 13
12.6%
8 12
11.7%
7 7
6.8%
1 7
6.8%
9 3
 
2.9%
5 2
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 123
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20
16.3%
0 17
13.8%
2 15
12.2%
4 14
11.4%
3 13
10.6%
6 13
10.6%
8 12
9.8%
7 7
 
5.7%
1 7
 
5.7%
9 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20
16.3%
0 17
13.8%
2 15
12.2%
4 14
11.4%
3 13
10.6%
6 13
10.6%
8 12
9.8%
7 7
 
5.7%
1 7
 
5.7%
9 3
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing14
Missing (%)66.7%
Memory size300.0 B
2024-05-11T15:28:29.368222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2857143
Min length6

Characters and Unicode

Total characters44
Distinct characters9
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

Unique5 ?
Unique (%)71.4%

Sample

1st row120833
2nd row120-750
3rd row120013
4th row120013
5th row120-851
ValueCountFrequency (%)
120013 2
28.6%
120833 1
14.3%
120-750 1
14.3%
120-851 1
14.3%
120809 1
14.3%
120180 1
14.3%
2024-05-11T15:28:29.864893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12
27.3%
1 11
25.0%
2 7
15.9%
3 4
 
9.1%
8 4
 
9.1%
- 2
 
4.5%
5 2
 
4.5%
7 1
 
2.3%
9 1
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
95.5%
Dash Punctuation 2
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
28.6%
1 11
26.2%
2 7
16.7%
3 4
 
9.5%
8 4
 
9.5%
5 2
 
4.8%
7 1
 
2.4%
9 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12
27.3%
1 11
25.0%
2 7
15.9%
3 4
 
9.1%
8 4
 
9.1%
- 2
 
4.5%
5 2
 
4.5%
7 1
 
2.3%
9 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12
27.3%
1 11
25.0%
2 7
15.9%
3 4
 
9.1%
8 4
 
9.1%
- 2
 
4.5%
5 2
 
4.5%
7 1
 
2.3%
9 1
 
2.3%

지번주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T15:28:30.202950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length25.857143
Min length19

Characters and Unicode

Total characters543
Distinct characters63
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 서대문구 창천동 18-29번지 버티고빌딩 지하 2, 3층
2nd row서울특별시 서대문구 대현동 11-1 이화여자대학교 ECC내 지하4층
3rd row서울특별시 서대문구 충정로3가 58-1번지 구세군빌딩 1,2,3층
4th row서울특별시 서대문구 충정로3가 58-1번지 구세군빌딩 1, 2, 3층
5th row서울특별시 서대문구 홍은동 산 26-155
ValueCountFrequency (%)
서울특별시 21
20.4%
서대문구 21
20.4%
창천동 10
 
9.7%
구세군빌딩 4
 
3.9%
충정로3가 4
 
3.9%
대현동 2
 
1.9%
58-1번지 2
 
1.9%
3층 2
 
1.9%
2 2
 
1.9%
지하 2
 
1.9%
Other values (31) 33
32.0%
2024-05-11T15:28:30.801122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
17.7%
서 42
 
7.7%
대 25
 
4.6%
구 25
 
4.6%
1 23
 
4.2%
문 21
 
3.9%
울 21
 
3.9%
시 21
 
3.9%
별 21
 
3.9%
특 21
 
3.9%
Other values (53) 227
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
60.8%
Space Separator 96
 
17.7%
Decimal Number 92
 
16.9%
Dash Punctuation 17
 
3.1%
Other Punctuation 5
 
0.9%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 42
12.7%
대 25
 
7.6%
구 25
 
7.6%
문 21
 
6.4%
울 21
 
6.4%
시 21
 
6.4%
별 21
 
6.4%
특 21
 
6.4%
동 17
 
5.2%
지 13
 
3.9%
Other values (38) 103
31.2%
Decimal Number
ValueCountFrequency (%)
1 23
25.0%
3 17
18.5%
2 17
18.5%
4 8
 
8.7%
0 7
 
7.6%
5 6
 
6.5%
7 4
 
4.3%
6 4
 
4.3%
8 4
 
4.3%
9 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
60.8%
Common 210
38.7%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 42
12.7%
대 25
 
7.6%
구 25
 
7.6%
문 21
 
6.4%
울 21
 
6.4%
시 21
 
6.4%
별 21
 
6.4%
특 21
 
6.4%
동 17
 
5.2%
지 13
 
3.9%
Other values (38) 103
31.2%
Common
ValueCountFrequency (%)
96
45.7%
1 23
 
11.0%
3 17
 
8.1%
- 17
 
8.1%
2 17
 
8.1%
4 8
 
3.8%
0 7
 
3.3%
5 6
 
2.9%
, 5
 
2.4%
7 4
 
1.9%
Other values (3) 10
 
4.8%
Latin
ValueCountFrequency (%)
C 2
66.7%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
60.8%
ASCII 213
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
45.1%
1 23
 
10.8%
3 17
 
8.0%
- 17
 
8.0%
2 17
 
8.0%
4 8
 
3.8%
0 7
 
3.3%
5 6
 
2.8%
, 5
 
2.3%
7 4
 
1.9%
Other values (5) 13
 
6.1%
Hangul
ValueCountFrequency (%)
서 42
12.7%
대 25
 
7.6%
구 25
 
7.6%
문 21
 
6.4%
울 21
 
6.4%
시 21
 
6.4%
별 21
 
6.4%
특 21
 
6.4%
동 17
 
5.2%
지 13
 
3.9%
Other values (38) 103
31.2%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-05-11T15:28:31.172828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length33.2
Min length24

Characters and Unicode

Total characters664
Distinct characters78
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

Unique18 ?
Unique (%)90.0%

Sample

1st row서울특별시 서대문구 연세로 8-1 (창천동)
2nd row서울특별시 서대문구 이화여대길 52, 지하4층 (대현동, 이화여대 ECC)
3rd row서울특별시 서대문구 충정로 7 (충정로3가, 구세군빌딩)
4th row서울특별시 서대문구 백련사길 39 (홍은동)
5th row서울특별시 서대문구 신촌역로 13, 지하1층 (대현동)
ValueCountFrequency (%)
서울특별시 20
 
15.2%
서대문구 20
 
15.2%
창천동 10
 
7.6%
연세로 5
 
3.8%
지하1층 4
 
3.0%
충정로 3
 
2.3%
7 3
 
2.3%
충정로3가 3
 
2.3%
구세군빌딩 3
 
2.3%
b1층 2
 
1.5%
Other values (51) 59
44.7%
2024-05-11T15:28:31.817725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.9%
서 40
 
6.0%
대 27
 
4.1%
, 25
 
3.8%
구 23
 
3.5%
로 23
 
3.5%
) 20
 
3.0%
( 20
 
3.0%
울 20
 
3.0%
별 20
 
3.0%
Other values (68) 334
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
62.0%
Space Separator 112
 
16.9%
Decimal Number 65
 
9.8%
Other Punctuation 25
 
3.8%
Close Punctuation 20
 
3.0%
Open Punctuation 20
 
3.0%
Uppercase Letter 6
 
0.9%
Dash Punctuation 3
 
0.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 40
 
9.7%
대 27
 
6.6%
구 23
 
5.6%
로 23
 
5.6%
울 20
 
4.9%
별 20
 
4.9%
문 20
 
4.9%
특 20
 
4.9%
시 20
 
4.9%
동 18
 
4.4%
Other values (50) 181
43.9%
Decimal Number
ValueCountFrequency (%)
1 18
27.7%
2 11
16.9%
3 11
16.9%
7 6
 
9.2%
5 6
 
9.2%
9 5
 
7.7%
4 3
 
4.6%
8 3
 
4.6%
0 2
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
C 2
33.3%
E 1
 
16.7%
Space Separator
ValueCountFrequency (%)
112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
62.0%
Common 246
37.0%
Latin 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 40
 
9.7%
대 27
 
6.6%
구 23
 
5.6%
로 23
 
5.6%
울 20
 
4.9%
별 20
 
4.9%
문 20
 
4.9%
특 20
 
4.9%
시 20
 
4.9%
동 18
 
4.4%
Other values (50) 181
43.9%
Common
ValueCountFrequency (%)
112
45.5%
, 25
 
10.2%
) 20
 
8.1%
( 20
 
8.1%
1 18
 
7.3%
2 11
 
4.5%
3 11
 
4.5%
7 6
 
2.4%
5 6
 
2.4%
9 5
 
2.0%
Other values (5) 12
 
4.9%
Latin
ValueCountFrequency (%)
B 3
50.0%
C 2
33.3%
E 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
62.0%
ASCII 252
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
44.4%
, 25
 
9.9%
) 20
 
7.9%
( 20
 
7.9%
1 18
 
7.1%
2 11
 
4.4%
3 11
 
4.4%
7 6
 
2.4%
5 6
 
2.4%
9 5
 
2.0%
Other values (8) 18
 
7.1%
Hangul
ValueCountFrequency (%)
서 40
 
9.7%
대 27
 
6.6%
구 23
 
5.6%
로 23
 
5.6%
울 20
 
4.9%
별 20
 
4.9%
문 20
 
4.9%
특 20
 
4.9%
시 20
 
4.9%
동 18
 
4.4%
Other values (50) 181
43.9%

도로명우편번호
Text

MISSING 

Distinct16
Distinct (%)80.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-05-11T15:28:32.091891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4
Min length5

Characters and Unicode

Total characters108
Distinct characters10
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

Unique13 ?
Unique (%)65.0%

Sample

1st row120833
2nd row120-750
3rd row120013
4th row120-851
5th row120809
ValueCountFrequency (%)
03788 3
15.0%
03737 2
 
10.0%
03777 2
 
10.0%
03722 1
 
5.0%
120013 1
 
5.0%
120-851 1
 
5.0%
120809 1
 
5.0%
120180 1
 
5.0%
120833 1
 
5.0%
120-750 1
 
5.0%
Other values (6) 6
30.0%
2024-05-11T15:28:32.648099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
25.0%
7 22
20.4%
3 19
17.6%
8 14
13.0%
1 10
 
9.3%
2 9
 
8.3%
- 2
 
1.9%
5 2
 
1.9%
9 2
 
1.9%
4 1
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106
98.1%
Dash Punctuation 2
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
25.5%
7 22
20.8%
3 19
17.9%
8 14
13.2%
1 10
 
9.4%
2 9
 
8.5%
5 2
 
1.9%
9 2
 
1.9%
4 1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
25.0%
7 22
20.4%
3 19
17.6%
8 14
13.0%
1 10
 
9.3%
2 9
 
8.3%
- 2
 
1.9%
5 2
 
1.9%
9 2
 
1.9%
4 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
25.0%
7 22
20.4%
3 19
17.6%
8 14
13.0%
1 10
 
9.3%
2 9
 
8.3%
- 2
 
1.9%
5 2
 
1.9%
9 2
 
1.9%
4 1
 
0.9%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T15:28:33.048578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8
Min length3

Characters and Unicode

Total characters168
Distinct characters95
Distinct categories6 ?
Distinct scripts3 ?
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 rowThe stage(더스테이지)
2nd rowECC 삼성홀
3rd row가야씨어터
4th row충정로 난타극장
5th row서대문문화체육회관
ValueCountFrequency (%)
the 1
 
2.9%
몽향 1
 
2.9%
페인터즈 1
 
2.9%
히어로 1
 
2.9%
정동길 1
 
2.9%
전용관 1
 
2.9%
연희예술극장 1
 
2.9%
복합문화공간 1
 
2.9%
신촌문화발전소 1
 
2.9%
라이브홀 1
 
2.9%
Other values (25) 25
71.4%
2024-05-11T15:28:33.610340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
8.3%
홀 8
 
4.8%
아 5
 
3.0%
극 4
 
2.4%
장 4
 
2.4%
트 4
 
2.4%
더 4
 
2.4%
문 4
 
2.4%
이 3
 
1.8%
터 3
 
1.8%
Other values (85) 115
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
75.6%
Space Separator 14
 
8.3%
Lowercase Letter 13
 
7.7%
Uppercase Letter 10
 
6.0%
Close Punctuation 2
 
1.2%
Open Punctuation 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 8
 
6.3%
아 5
 
3.9%
극 4
 
3.1%
장 4
 
3.1%
트 4
 
3.1%
더 4
 
3.1%
문 4
 
3.1%
이 3
 
2.4%
터 3
 
2.4%
공 3
 
2.4%
Other values (65) 85
66.9%
Lowercase Letter
ValueCountFrequency (%)
n 2
15.4%
e 2
15.4%
g 2
15.4%
o 1
7.7%
s 1
7.7%
t 1
7.7%
a 1
7.7%
h 1
7.7%
v 1
7.7%
i 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
O 2
20.0%
T 2
20.0%
C 2
20.0%
L 1
10.0%
P 1
10.0%
E 1
10.0%
M 1
10.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
75.6%
Latin 23
 
13.7%
Common 18
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 8
 
6.3%
아 5
 
3.9%
극 4
 
3.1%
장 4
 
3.1%
트 4
 
3.1%
더 4
 
3.1%
문 4
 
3.1%
이 3
 
2.4%
터 3
 
2.4%
공 3
 
2.4%
Other values (65) 85
66.9%
Latin
ValueCountFrequency (%)
n 2
 
8.7%
O 2
 
8.7%
T 2
 
8.7%
e 2
 
8.7%
g 2
 
8.7%
C 2
 
8.7%
L 1
 
4.3%
P 1
 
4.3%
o 1
 
4.3%
s 1
 
4.3%
Other values (7) 7
30.4%
Common
ValueCountFrequency (%)
14
77.8%
) 2
 
11.1%
( 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
75.6%
ASCII 41
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
34.1%
n 2
 
4.9%
O 2
 
4.9%
T 2
 
4.9%
e 2
 
4.9%
) 2
 
4.9%
g 2
 
4.9%
( 2
 
4.9%
C 2
 
4.9%
L 1
 
2.4%
Other values (10) 10
24.4%
Hangul
ValueCountFrequency (%)
홀 8
 
6.3%
아 5
 
3.9%
극 4
 
3.1%
장 4
 
3.1%
트 4
 
3.1%
더 4
 
3.1%
문 4
 
3.1%
이 3
 
2.4%
터 3
 
2.4%
공 3
 
2.4%
Other values (65) 85
66.9%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2016-07-26 09:06:50
Maximum2024-03-26 19:53:25
2024-05-11T15:28:33.788460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:33.937436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
U
13 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 13
61.9%
I 8
38.1%

Length

2024-05-11T15:28:34.108942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:34.250919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
61.9%
i 8
38.1%

데이터갱신일자
Date

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:08:00
2024-05-11T15:28:34.384844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:34.560858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean194874.49
Minimum193468.15
Maximum196595.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:28:34.770924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193468.15
5-th percentile193606.39
Q1194340.91
median194607.64
Q3195158.08
95-th percentile196595.55
Maximum196595.55
Range3127.3979
Interquartile range (IQR)817.1775

Descriptive statistics

Standard deviation938.67776
Coefficient of variation (CV)0.0048168325
Kurtosis-0.088615418
Mean194874.49
Median Absolute Deviation (MAD)273.02342
Skewness0.82488823
Sum3702615.2
Variance881115.94
MonotonicityNot monotonic
2024-05-11T15:28:34.978004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
196595.551427249 3
14.3%
194340.906008609 2
 
9.5%
194188.90621791 1
 
4.8%
194649.344011611 1
 
4.8%
195992.750558631 1
 
4.8%
194470.363510706 1
 
4.8%
195028.400590649 1
 
4.8%
194607.642275955 1
 
4.8%
194382.109981443 1
 
4.8%
193621.749685564 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
193468.153535517 1
4.8%
193621.749685564 1
4.8%
194188.90621791 1
4.8%
194334.618853084 1
4.8%
194340.906008609 2
9.5%
194382.109981443 1
4.8%
194470.363510706 1
4.8%
194584.959249312 1
4.8%
194607.642275955 1
4.8%
194649.344011611 1
4.8%
ValueCountFrequency (%)
196595.551427249 3
14.3%
195992.750558631 1
 
4.8%
195287.766418517 1
 
4.8%
195028.400590649 1
 
4.8%
194852.826965679 1
 
4.8%
194677.170974683 1
 
4.8%
194649.344011611 1
 
4.8%
194607.642275955 1
 
4.8%
194584.959249312 1
 
4.8%
194470.363510706 1
 
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean450820.11
Minimum450450.68
Maximum451485.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:28:35.176857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450450.68
5-th percentile450472.35
Q1450605.95
median450662.06
Q3450969.3
95-th percentile451391.93
Maximum451485.02
Range1034.3337
Interquartile range (IQR)363.34766

Descriptive statistics

Standard deviation322.92047
Coefficient of variation (CV)0.0007162956
Kurtosis-0.44102785
Mean450820.11
Median Absolute Deviation (MAD)206.30759
Skewness0.79722238
Sum8565582.1
Variance104277.63
MonotonicityNot monotonic
2024-05-11T15:28:35.375496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
450873.253484355 3
14.3%
450662.059403689 2
 
9.5%
450474.754457551 1
 
4.8%
450478.352188795 1
 
4.8%
451065.345045276 1
 
4.8%
450595.483553099 1
 
4.8%
451317.909486649 1
 
4.8%
450633.417239012 1
 
4.8%
450450.682916715 1
 
4.8%
451485.016618569 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
450450.682916715 1
4.8%
450474.754457551 1
4.8%
450476.398314135 1
4.8%
450478.352188795 1
4.8%
450595.483553099 1
4.8%
450616.419656255 1
4.8%
450633.417239012 1
4.8%
450650.747799211 1
4.8%
450662.059403689 2
9.5%
450868.366990996 1
4.8%
ValueCountFrequency (%)
451485.016618569 1
 
4.8%
451381.585492051 1
 
4.8%
451317.909486649 1
 
4.8%
451143.789306014 1
 
4.8%
451065.345045276 1
 
4.8%
450873.253484355 3
14.3%
450868.366990996 1
 
4.8%
450662.059403689 2
9.5%
450650.747799211 1
 
4.8%
450633.417239012 1
 
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
공연장
14 
<NA>
7 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 14
66.7%
<NA> 7
33.3%

Length

2024-05-11T15:28:35.569474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:35.757655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 14
66.7%
na 7
33.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
공연장
14 
<NA>
7 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 14
66.7%
<NA> 7
33.3%

Length

2024-05-11T15:28:35.980062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:36.152729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 14
66.7%
na 7
33.3%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing19
Missing (%)90.5%
Memory size300.0 B
2024-05-11T15:28:36.338689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row일반상업지역
2nd row상업지역
ValueCountFrequency (%)
일반상업지역 1
50.0%
상업지역 1
50.0%
2024-05-11T15:28:36.773019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

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

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
21
 
1
4
 
1
23
 
1

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row21
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
21 1
 
4.8%
4 1
 
4.8%
23 1
 
4.8%

Length

2024-05-11T15:28:37.020892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:37.266946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
21 1
 
4.8%
4 1
 
4.8%
23 1
 
4.8%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing19
Missing (%)90.5%
Memory size300.0 B
2024-05-11T15:28:37.399178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T15:28:37.741458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건물용도명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing15
Missing (%)71.4%
Memory size300.0 B
2024-05-11T15:28:37.971294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters32
Distinct characters12
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 (%)16.7%

Sample

1st row문화시설
2nd row교육연구시설
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 3
50.0%
문화시설 2
33.3%
교육연구시설 1
 
16.7%
2024-05-11T15:28:38.524317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 6
18.8%
설 6
18.8%
근 3
9.4%
린 3
9.4%
생 3
9.4%
활 3
9.4%
문 2
 
6.2%
화 2
 
6.2%
교 1
 
3.1%
육 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
18.8%
설 6
18.8%
근 3
9.4%
린 3
9.4%
생 3
9.4%
활 3
9.4%
문 2
 
6.2%
화 2
 
6.2%
교 1
 
3.1%
육 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
18.8%
설 6
18.8%
근 3
9.4%
린 3
9.4%
생 3
9.4%
활 3
9.4%
문 2
 
6.2%
화 2
 
6.2%
교 1
 
3.1%
육 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 6
18.8%
설 6
18.8%
근 3
9.4%
린 3
9.4%
생 3
9.4%
활 3
9.4%
문 2
 
6.2%
화 2
 
6.2%
교 1
 
3.1%
육 1
 
3.1%
Other values (2) 2
 
6.2%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
15
 
1
17
 
1

Length

Max length4
Median length4
Mean length3.8095238
Min length2

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
90.5%
15 1
 
4.8%
17 1
 
4.8%

Length

2024-05-11T15:28:38.823734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:39.059975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
15 1
 
4.8%
17 1
 
4.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
6
2 
1
 
1

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row6
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
6 2
 
9.5%
1 1
 
4.8%

Length

2024-05-11T15:28:39.283132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:39.510817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
6 2
 
9.5%
1 1
 
4.8%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03120000CDFE123000200900000120090309<NA>3폐업3폐업20170707<NA><NA><NA>744-4334<NA>120833서울특별시 서대문구 창천동 18-29번지 버티고빌딩 지하 2, 3층서울특별시 서대문구 연세로 8-1 (창천동)120833The stage(더스테이지)2017-07-07 16:18:57I2018-08-31 23:59:59.0<NA>194382.109981450450.682917공연장공연장일반상업지역21기타<NA><NA>문화시설156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFE12300020090000022009-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>1644-2962<NA>120-750서울특별시 서대문구 대현동 11-1 이화여자대학교 ECC내 지하4층서울특별시 서대문구 이화여대길 52, 지하4층 (대현동, 이화여대 ECC)120-750ECC 삼성홀2024-03-18 08:44:25U2023-12-02 22:00:00.0<NA>195287.766419451143.789306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFE123000201000000120100913<NA>3폐업3폐업<NA><NA><NA><NA>6364-4888<NA>120013서울특별시 서대문구 충정로3가 58-1번지 구세군빌딩 1,2,3층<NA><NA>가야씨어터2018-03-21 10:19:23I2018-08-31 23:59:59.0<NA><NA><NA>공연장공연장<NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000CDFE123000201100000120110902<NA>3폐업3폐업<NA><NA><NA><NA>739-8288<NA>120013서울특별시 서대문구 충정로3가 58-1번지 구세군빌딩 1, 2, 3층서울특별시 서대문구 충정로 7 (충정로3가, 구세군빌딩)120013충정로 난타극장2018-01-12 11:15:13I2018-08-31 23:59:59.0<NA>196595.551427450873.253484공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43120000CDFE12300020110000022011-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-360-8560<NA>120-851서울특별시 서대문구 홍은동 산 26-155서울특별시 서대문구 백련사길 39 (홍은동)120-851서대문문화체육회관2023-10-27 07:58:39U2022-10-30 22:09:00.0<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>
53120000CDFE123000201200000120120126<NA>3폐업3폐업20200812<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 104-1 지하서울특별시 서대문구 신촌역로 13, 지하1층 (대현동)120809퀸라이브홀2020-08-12 13:22:35U2020-08-14 02:40:00.0<NA>194852.826966450616.419656공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFE123000201200000220120622<NA>3폐업3폐업20180129<NA><NA><NA><NA><NA>120180서울특별시 서대문구 창천동 20-24번지서울특별시 서대문구 신촌로 129, 1층 (창천동, 아트레온)120180무빙온(Moving On)2018-01-30 14:24:43I2018-08-31 23:59:59.0<NA>194677.170975450476.398314공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFE123000201500000120151215<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2123-4514<NA><NA>서울특별시 서대문구 신촌동 134서울특별시 서대문구 연세로 50, B1층 (신촌동, 연세대학교 백양로재창로컴플렉스)03722금호아트홀 연세2021-05-07 11:15:35U2021-05-09 02:40:00.0<NA>194584.959249451381.585492공연장공연장<NA><NA><NA><NA><NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000CDFE123000201600000120160121<NA>3폐업3폐업20160725<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 33-20번지서울특별시 서대문구 연세로 29, 8층 (창천동, 혜인빌딩)03788신촌아트홀2016-07-26 09:06:50I2018-08-31 23:59:59.0<NA>194340.906009450662.059404공연장공연장<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFE123000201700000120170620<NA>3폐업3폐업20200221<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 33-20번지서울특별시 서대문구 연세로 29, 8층 (창천동, 혜인빌딩)03788신촌아트센터2020-02-21 17:59:56U2020-02-23 02:40:00.0<NA>194340.906009450662.059404공연장공연장<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
113120000CDFE123000201700000320170727<NA>3폐업3폐업20191021<NA><NA><NA>02-333-2701<NA><NA>서울특별시 서대문구 창천동 472-1번지서울특별시 서대문구 연희로 14, B1층 (창천동, 삼성빌딩)03784프리버드 라이브홀2019-10-21 17:45:57U2019-10-23 02:40:00.0<NA>193468.153536450868.366991공연장공연장<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
123120000CDFE123000201800000120180226<NA>3폐업3폐업20210112<NA><NA><NA>02-766-7848<NA><NA>서울특별시 서대문구 충정로3가 476 구세군빌딩서울특별시 서대문구 충정로 7, 구세군빌딩 2, 3층 (충정로3가)03737더 페인터즈 히어로 정동길 전용관2021-01-14 11:15:42U2021-01-16 02:40:00.0<NA>196595.551427450873.253484공연장공연장상업지역23기타<NA><NA>문화시설176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133120000CDFE123000201800000220180717<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 193-10번지서울특별시 서대문구 연희맛로 2-3, 지하1층 (연희동)03708연희예술극장2018-07-17 08:52:51I2018-08-31 23:59:59.0<NA>193621.749686451485.016619공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143120000CDFE123000201800000320180913<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 62-11서울특별시 서대문구 연세로5다길 10, 지하1층 (창천동)03789복합문화공간 몽향2022-02-07 16:43:06U2022-02-09 02:40:00.0<NA>194188.906218450474.754458공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153120000CDFE123000201800000420181128<NA>1영업/정상13영업중<NA><NA><NA><NA>02-330-1114<NA><NA>서울특별시 서대문구 창천동 4-113서울특별시 서대문구 연세로2나길 57, 지하2층 (창천동)03777신촌문화발전소2022-11-01 20:29:58U2021-11-01 00:03:00.0<NA>194607.642276450633.417239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163120000CDFE123000201800000520181221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-362-4480<NA><NA>서울특별시 서대문구 대신동 85번지 하늬솔빌딩서울특별시 서대문구 성산로 533, 하늬솔빌딩 B동 1층 (대신동)03721리움홀2019-03-29 14:10:39U2019-03-31 02:40:00.0<NA>195028.400591451317.909487공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173120000CDFE12300020200000012020-07-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 13-21서울특별시 서대문구 연세로4길 27, 지하1층 (창천동)03777극장 PLOT2024-02-23 17:08:33U2023-12-01 22:05:00.0<NA>194470.363511450595.483553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183120000CDFE12300020210000012021-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-360-8660<NA><NA>서울특별시 서대문구 북아현동 1012-2서울특별시 서대문구 북아현로 51, 지하1층층 (북아현동)03770북아현아트홀2023-05-30 16:22:53U2022-12-06 00:01:00.0<NA>195992.750559451065.345045<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193120000CDFE12300020230000012023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-760-9780<NA><NA>서울특별시 서대문구 충정로3가 476 구세군빌딩서울특별시 서대문구 충정로 7, 구세군빌딩 1~3층 (충정로3가)03737모두예술극장2023-10-10 17:19:36I2022-10-30 23:02:00.0<NA>196595.551427450873.253484<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203120000CDFE12300020240000012024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 20-25 아트레온서울특별시 서대문구 신촌로 129, 아트레온 지하3층 (창천동)03780원더로크 홀2024-03-26 19:53:25I2023-12-02 22:08:00.0<NA>194649.344012450478.352189<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>