Overview

Dataset statistics

Number of variables60
Number of observations30
Missing cells735
Missing cells (%)40.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory526.4 B

Variable types

Categorical23
Text7
DateTime2
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16860/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 21 (70.0%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 7 (23.3%) missing valuesMissing
도로명우편번호 has 19 (63.3%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
총층수 has 4 (13.3%) missing valuesMissing
주변환경명 has 20 (66.7%) missing valuesMissing
제작취급품목내용 has 30 (100.0%) missing valuesMissing
보험기관명 has 30 (100.0%) missing valuesMissing
지상층수 has 4 (13.3%) missing valuesMissing
영문상호명 has 30 (100.0%) missing valuesMissing
영문상호주소 has 30 (100.0%) missing valuesMissing
선박제원 has 30 (100.0%) missing valuesMissing
기념품종류 has 30 (100.0%) missing valuesMissing
놀이기구수내역 has 30 (100.0%) missing valuesMissing
방송시설유무 has 30 (100.0%) missing valuesMissing
발전시설유무 has 30 (100.0%) missing valuesMissing
의무실유무 has 30 (100.0%) missing valuesMissing
안내소유무 has 30 (100.0%) missing valuesMissing
기획여행보험시작일자 has 30 (100.0%) missing valuesMissing
기획여행보험종료일자 has 30 (100.0%) missing valuesMissing
보험시작일자 has 30 (100.0%) missing valuesMissing
보험종료일자 has 30 (100.0%) missing valuesMissing
부대시설내역 has 30 (100.0%) missing valuesMissing
관리번호 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 15 (50.0%) zerosZeros
지상층수 has 18 (60.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:01:56.330689
Analysis finished2024-05-11 06:01:57.138555
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3180000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3180000 30
100.0%

Length

2024-05-11T15:01:57.290736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:57.450624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:01:57.687956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
Distinct characters12
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001961000001
2nd rowCDFE1230001963000001
3rd rowCDFE1230001969000001
4th rowCDFE1230001981000001
5th rowCDFE1230001983000001
ValueCountFrequency (%)
cdfe1230001961000001 1
 
3.3%
cdfe1230001963000001 1
 
3.3%
cdfe1230002023000002 1
 
3.3%
cdfe1230002021000002 1
 
3.3%
cdfe1230002021000001 1
 
3.3%
cdfe1230002018000002 1
 
3.3%
cdfe1230002018000001 1
 
3.3%
cdfe1230002016000001 1
 
3.3%
cdfe1230002014000001 1
 
3.3%
cdfe1230002012000001 1
 
3.3%
Other values (20) 20
66.7%
2024-05-11T15:01:58.128551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 265
44.2%
1 77
 
12.8%
2 61
 
10.2%
3 37
 
6.2%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
E 30
 
5.0%
9 22
 
3.7%
8 11
 
1.8%
Other values (2) 7
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
55.2%
1 77
 
16.0%
2 61
 
12.7%
3 37
 
7.7%
9 22
 
4.6%
8 11
 
2.3%
6 5
 
1.0%
4 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
E 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 265
55.2%
1 77
 
16.0%
2 61
 
12.7%
3 37
 
7.7%
9 22
 
4.6%
8 11
 
2.3%
6 5
 
1.0%
4 2
 
0.4%
Latin
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
E 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 265
44.2%
1 77
 
12.8%
2 61
 
10.2%
3 37
 
6.2%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
E 30
 
5.0%
9 22
 
3.7%
8 11
 
1.8%
Other values (2) 7
 
1.2%

인허가일자
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1961-08-01 00:00:00
Maximum2023-10-06 00:00:00
2024-05-11T15:01:58.319284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:58.492767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
20 
3
9 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
66.7%
3 9
30.0%
4 1
 
3.3%

Length

2024-05-11T15:01:58.702878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:58.837951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
66.7%
3 9
30.0%
4 1
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
20 
폐업
9 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
66.7%
폐업 9
30.0%
취소/말소/만료/정지/중지 1
 
3.3%

Length

2024-05-11T15:01:58.965437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:59.087989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
66.7%
폐업 9
30.0%
취소/말소/만료/정지/중지 1
 
3.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
BBBB
11 
03
9 
13
9 
30
 
1

Length

Max length4
Median length2
Mean length2.7333333
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row03
2nd rowBBBB
3rd rowBBBB
4th row03
5th rowBBBB

Common Values

ValueCountFrequency (%)
BBBB 11
36.7%
03 9
30.0%
13 9
30.0%
30 1
 
3.3%

Length

2024-05-11T15:01:59.251324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:59.460312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 11
36.7%
03 9
30.0%
13 9
30.0%
30 1
 
3.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
11 
폐업
9 
영업중
9 
허가취소
 
1

Length

Max length4
Median length3
Mean length3.1
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
36.7%
폐업 9
30.0%
영업중 9
30.0%
허가취소 1
 
3.3%

Length

2024-05-11T15:01:59.650812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:59.843839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
36.7%
폐업 9
30.0%
영업중 9
30.0%
허가취소 1
 
3.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing21
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean20139888
Minimum20001216
Maximum20211215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:02:00.014099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001216
5-th percentile20008853
Q120130911
median20151214
Q320201205
95-th percentile20211215
Maximum20211215
Range209999
Interquartile range (IQR)70294

Descriptive statistics

Standard deviation78640.442
Coefficient of variation (CV)0.003904711
Kurtosis-0.067910764
Mean20139888
Median Absolute Deviation (MAD)49991
Skewness-1.1067837
Sum1.8125899 × 108
Variance6.1843191 × 109
MonotonicityNot monotonic
2024-05-11T15:02:00.206087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20211215 2
 
6.7%
20001216 1
 
3.3%
20020308 1
 
3.3%
20130911 1
 
3.3%
20150803 1
 
3.3%
20151214 1
 
3.3%
20180905 1
 
3.3%
20201205 1
 
3.3%
(Missing) 21
70.0%
ValueCountFrequency (%)
20001216 1
3.3%
20020308 1
3.3%
20130911 1
3.3%
20150803 1
3.3%
20151214 1
3.3%
20180905 1
3.3%
20201205 1
3.3%
20211215 2
6.7%
ValueCountFrequency (%)
20211215 2
6.7%
20201205 1
3.3%
20180905 1
3.3%
20151214 1
3.3%
20150803 1
3.3%
20130911 1
3.3%
20020308 1
3.3%
20001216 1
3.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:02:00.517785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.3666667
Min length8

Characters and Unicode

Total characters281
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)83.3%

Sample

1st row2634-3811
2nd row678-1014
3rd row2634-3212
4th row826-7631
5th row789-5679
ValueCountFrequency (%)
2634-3212 3
 
10.0%
678-1014 2
 
6.7%
2638-2871 1
 
3.3%
2634-3811 1
 
3.3%
2670-4020 1
 
3.3%
02-781-1000 1
 
3.3%
02-2004-9592 1
 
3.3%
02-2613-0428 1
 
3.3%
02-6949-2016 1
 
3.3%
02-2654-3346 1
 
3.3%
Other values (17) 17
56.7%
2024-05-11T15:02:01.129565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 44
15.7%
- 38
13.5%
6 31
11.0%
3 27
9.6%
1 27
9.6%
0 27
9.6%
8 21
7.5%
7 20
7.1%
4 16
 
5.7%
5 15
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 243
86.5%
Dash Punctuation 38
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 44
18.1%
6 31
12.8%
3 27
11.1%
1 27
11.1%
0 27
11.1%
8 21
8.6%
7 20
8.2%
4 16
 
6.6%
5 15
 
6.2%
9 15
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 44
15.7%
- 38
13.5%
6 31
11.0%
3 27
9.6%
1 27
9.6%
0 27
9.6%
8 21
7.5%
7 20
7.1%
4 16
 
5.7%
5 15
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 44
15.7%
- 38
13.5%
6 31
11.0%
3 27
9.6%
1 27
9.6%
0 27
9.6%
8 21
7.5%
7 20
7.1%
4 16
 
5.7%
5 15
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)65.2%
Missing7
Missing (%)23.3%
Memory size372.0 B
2024-05-11T15:02:01.420951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0434783
Min length6

Characters and Unicode

Total characters139
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)47.8%

Sample

1st row150035
2nd row150033
3rd row150903
4th row150901
5th row150896
ValueCountFrequency (%)
150033 5
21.7%
150903 3
13.0%
150035 2
 
8.7%
150896 2
 
8.7%
150901 1
 
4.3%
150800 1
 
4.3%
150914 1
 
4.3%
150820 1
 
4.3%
150045 1
 
4.3%
150-869 1
 
4.3%
Other values (5) 5
21.7%
2024-05-11T15:02:02.158410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
30.2%
5 26
18.7%
1 25
18.0%
3 16
 
11.5%
9 10
 
7.2%
8 8
 
5.8%
6 4
 
2.9%
4 3
 
2.2%
2 2
 
1.4%
7 2
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
99.3%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
30.4%
5 26
18.8%
1 25
18.1%
3 16
 
11.6%
9 10
 
7.2%
8 8
 
5.8%
6 4
 
2.9%
4 3
 
2.2%
2 2
 
1.4%
7 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
30.2%
5 26
18.7%
1 25
18.0%
3 16
 
11.5%
9 10
 
7.2%
8 8
 
5.8%
6 4
 
2.9%
4 3
 
2.2%
2 2
 
1.4%
7 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
30.2%
5 26
18.7%
1 25
18.0%
3 16
 
11.5%
9 10
 
7.2%
8 8
 
5.8%
6 4
 
2.9%
4 3
 
2.2%
2 2
 
1.4%
7 2
 
1.4%

지번주소
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:02:02.557713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length25.033333
Min length18

Characters and Unicode

Total characters751
Distinct characters67
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

Unique25 ?
Unique (%)83.3%

Sample

1st row서울특별시 영등포구 영등포동5가 6-0번지
2nd row서울특별시 영등포구 영등포동3가 2-0번지
3rd row서울특별시 영등포구 영등포동2가 175-0번지
4th row서울특별시 영등포구 영등포동2가 94-139번지
5th row서울특별시 영등포구 여의도동 60-0번지
ValueCountFrequency (%)
서울특별시 30
23.1%
영등포구 30
23.1%
여의도동 8
 
6.2%
영등포동2가 5
 
3.8%
영등포동3가 5
 
3.8%
영등포동5가 3
 
2.3%
175-0번지 3
 
2.3%
2-0번지 2
 
1.5%
영등포동4가 2
 
1.5%
6-0번지 2
 
1.5%
Other values (38) 40
30.8%
2024-05-11T15:02:03.300856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
16.8%
영 45
 
6.0%
등 45
 
6.0%
포 45
 
6.0%
울 31
 
4.1%
동 31
 
4.1%
서 30
 
4.0%
특 30
 
4.0%
별 30
 
4.0%
시 30
 
4.0%
Other values (57) 308
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
64.4%
Space Separator 126
 
16.8%
Decimal Number 112
 
14.9%
Dash Punctuation 20
 
2.7%
Lowercase Letter 5
 
0.7%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 45
 
9.3%
등 45
 
9.3%
포 45
 
9.3%
울 31
 
6.4%
동 31
 
6.4%
서 30
 
6.2%
특 30
 
6.2%
별 30
 
6.2%
시 30
 
6.2%
구 30
 
6.2%
Other values (39) 137
28.3%
Decimal Number
ValueCountFrequency (%)
2 20
17.9%
0 17
15.2%
1 15
13.4%
3 13
11.6%
4 12
10.7%
5 9
8.0%
7 7
 
6.2%
9 7
 
6.2%
6 6
 
5.4%
8 6
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
r 1
20.0%
t 1
20.0%
n 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
75.0%
T 1
 
25.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 484
64.4%
Common 258
34.4%
Latin 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 45
 
9.3%
등 45
 
9.3%
포 45
 
9.3%
울 31
 
6.4%
동 31
 
6.4%
서 30
 
6.2%
특 30
 
6.2%
별 30
 
6.2%
시 30
 
6.2%
구 30
 
6.2%
Other values (39) 137
28.3%
Common
ValueCountFrequency (%)
126
48.8%
- 20
 
7.8%
2 20
 
7.8%
0 17
 
6.6%
1 15
 
5.8%
3 13
 
5.0%
4 12
 
4.7%
5 9
 
3.5%
7 7
 
2.7%
9 7
 
2.7%
Other values (2) 12
 
4.7%
Latin
ValueCountFrequency (%)
C 3
33.3%
e 2
22.2%
r 1
 
11.1%
t 1
 
11.1%
n 1
 
11.1%
T 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
64.4%
ASCII 267
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
47.2%
- 20
 
7.5%
2 20
 
7.5%
0 17
 
6.4%
1 15
 
5.6%
3 13
 
4.9%
4 12
 
4.5%
5 9
 
3.4%
7 7
 
2.6%
9 7
 
2.6%
Other values (8) 21
 
7.9%
Hangul
ValueCountFrequency (%)
영 45
 
9.3%
등 45
 
9.3%
포 45
 
9.3%
울 31
 
6.4%
동 31
 
6.4%
서 30
 
6.2%
특 30
 
6.2%
별 30
 
6.2%
시 30
 
6.2%
구 30
 
6.2%
Other values (39) 137
28.3%

도로명주소
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:02:03.815626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length31.8
Min length24

Characters and Unicode

Total characters954
Distinct characters96
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

Unique25 ?
Unique (%)83.3%

Sample

1st row서울특별시 영등포구 영등포로43길 3-2 (영등포동5가)
2nd row서울특별시 영등포구 영등포로 256 (영등포동3가)
3rd row서울특별시 영등포구 영등포로 253 (영등포동2가)
4th row서울특별시 영등포구 버드나루로 30 (영등포동2가)
5th row서울특별시 영등포구 63로 50 (여의도동)
ValueCountFrequency (%)
서울특별시 30
17.9%
영등포구 30
17.9%
여의도동 8
 
4.8%
영등포로 7
 
4.2%
영등포동2가 5
 
3.0%
영등포동3가 5
 
3.0%
여의공원로 4
 
2.4%
253 3
 
1.8%
13 3
 
1.8%
영등포동5가 3
 
1.8%
Other values (58) 70
41.7%
2024-05-11T15:02:04.611845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
16.0%
영 60
 
6.3%
등 57
 
6.0%
포 57
 
6.0%
동 33
 
3.5%
울 31
 
3.2%
로 30
 
3.1%
) 30
 
3.1%
( 30
 
3.1%
서 30
 
3.1%
Other values (86) 443
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 589
61.7%
Space Separator 153
 
16.0%
Decimal Number 121
 
12.7%
Close Punctuation 30
 
3.1%
Open Punctuation 30
 
3.1%
Other Punctuation 16
 
1.7%
Uppercase Letter 8
 
0.8%
Lowercase Letter 5
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 60
 
10.2%
등 57
 
9.7%
포 57
 
9.7%
동 33
 
5.6%
울 31
 
5.3%
로 30
 
5.1%
서 30
 
5.1%
시 30
 
5.1%
별 30
 
5.1%
특 30
 
5.1%
Other values (62) 201
34.1%
Decimal Number
ValueCountFrequency (%)
3 24
19.8%
2 22
18.2%
5 21
17.4%
1 16
13.2%
4 11
9.1%
0 9
 
7.4%
6 8
 
6.6%
7 5
 
4.1%
8 3
 
2.5%
9 2
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
37.5%
B 2
25.0%
T 1
 
12.5%
K 1
 
12.5%
S 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 589
61.7%
Common 352
36.9%
Latin 13
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 60
 
10.2%
등 57
 
9.7%
포 57
 
9.7%
동 33
 
5.6%
울 31
 
5.3%
로 30
 
5.1%
서 30
 
5.1%
시 30
 
5.1%
별 30
 
5.1%
특 30
 
5.1%
Other values (62) 201
34.1%
Common
ValueCountFrequency (%)
153
43.5%
) 30
 
8.5%
( 30
 
8.5%
3 24
 
6.8%
2 22
 
6.2%
5 21
 
6.0%
1 16
 
4.5%
, 16
 
4.5%
4 11
 
3.1%
0 9
 
2.6%
Other values (5) 20
 
5.7%
Latin
ValueCountFrequency (%)
C 3
23.1%
B 2
15.4%
e 2
15.4%
n 1
 
7.7%
t 1
 
7.7%
r 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 589
61.7%
ASCII 365
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
41.9%
) 30
 
8.2%
( 30
 
8.2%
3 24
 
6.6%
2 22
 
6.0%
5 21
 
5.8%
1 16
 
4.4%
, 16
 
4.4%
4 11
 
3.0%
0 9
 
2.5%
Other values (14) 33
 
9.0%
Hangul
ValueCountFrequency (%)
영 60
 
10.2%
등 57
 
9.7%
포 57
 
9.7%
동 33
 
5.6%
울 31
 
5.3%
로 30
 
5.1%
서 30
 
5.1%
시 30
 
5.1%
별 30
 
5.1%
특 30
 
5.1%
Other values (62) 201
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing19
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean59398.091
Minimum7213
Maximum150897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:02:04.835618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7213
5-th percentile7224
Q17252
median7305
Q3150400
95-th percentile150851.5
Maximum150897
Range143684
Interquartile range (IQR)143148

Descriptive statistics

Standard deviation72327.927
Coefficient of variation (CV)1.217681
Kurtosis-1.9641577
Mean59398.091
Median Absolute Deviation (MAD)70
Skewness0.66072227
Sum653379
Variance5.231329 × 109
MonotonicityNot monotonic
2024-05-11T15:02:05.027749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
150010 1
 
3.3%
150806 1
 
3.3%
150897 1
 
3.3%
150790 1
 
3.3%
7305 1
 
3.3%
7250 1
 
3.3%
7213 1
 
3.3%
7289 1
 
3.3%
7330 1
 
3.3%
7235 1
 
3.3%
(Missing) 19
63.3%
ValueCountFrequency (%)
7213 1
3.3%
7235 1
3.3%
7250 1
3.3%
7254 1
3.3%
7289 1
3.3%
7305 1
3.3%
7330 1
3.3%
150010 1
3.3%
150790 1
3.3%
150806 1
3.3%
ValueCountFrequency (%)
150897 1
3.3%
150806 1
3.3%
150790 1
3.3%
150010 1
3.3%
7330 1
3.3%
7305 1
3.3%
7289 1
3.3%
7254 1
3.3%
7250 1
3.3%
7235 1
3.3%

사업장명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:02:05.351909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length6.4333333
Min length4

Characters and Unicode

Total characters193
Distinct characters80
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

Unique28 ?
Unique (%)93.3%

Sample

1st row영보극장
2nd row연흥극장1관
3rd row경원극장
4th row명화극장
5th row(주)63시티
ValueCountFrequency (%)
kbs홀 2
 
5.3%
경원극장 2
 
5.3%
경험과 1
 
2.6%
아트홀 1
 
2.6%
kbs아트홀 1
 
2.6%
키즈앤키즈 1
 
2.6%
소극장 1
 
2.6%
푸른극장 1
 
2.6%
창작플랫폼 1
 
2.6%
상상 1
 
2.6%
Other values (26) 26
68.4%
2024-05-11T15:02:06.021976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
극 14
 
7.3%
장 14
 
7.3%
홀 13
 
6.7%
아 9
 
4.7%
8
 
4.1%
트 8
 
4.1%
영 5
 
2.6%
K 4
 
2.1%
소 4
 
2.1%
경 4
 
2.1%
Other values (70) 110
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
73.6%
Uppercase Letter 30
 
15.5%
Space Separator 8
 
4.1%
Decimal Number 7
 
3.6%
Close Punctuation 3
 
1.6%
Open Punctuation 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
극 14
 
9.9%
장 14
 
9.9%
홀 13
 
9.2%
아 9
 
6.3%
트 8
 
5.6%
영 5
 
3.5%
소 4
 
2.8%
경 4
 
2.8%
관 3
 
2.1%
원 3
 
2.1%
Other values (48) 65
45.8%
Uppercase Letter
ValueCountFrequency (%)
K 4
13.3%
L 3
10.0%
B 3
10.0%
H 3
10.0%
C 3
10.0%
S 3
10.0%
V 2
 
6.7%
E 2
 
6.7%
U 1
 
3.3%
Z 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
6 2
28.6%
1 1
 
14.3%
2 1
 
14.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
73.6%
Latin 30
 
15.5%
Common 21
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
극 14
 
9.9%
장 14
 
9.9%
홀 13
 
9.2%
아 9
 
6.3%
트 8
 
5.6%
영 5
 
3.5%
소 4
 
2.8%
경 4
 
2.8%
관 3
 
2.1%
원 3
 
2.1%
Other values (48) 65
45.8%
Latin
ValueCountFrequency (%)
K 4
13.3%
L 3
10.0%
B 3
10.0%
H 3
10.0%
C 3
10.0%
S 3
10.0%
V 2
 
6.7%
E 2
 
6.7%
U 1
 
3.3%
Z 1
 
3.3%
Other values (5) 5
16.7%
Common
ValueCountFrequency (%)
8
38.1%
3 3
 
14.3%
) 3
 
14.3%
( 3
 
14.3%
6 2
 
9.5%
1 1
 
4.8%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
73.6%
ASCII 51
 
26.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
극 14
 
9.9%
장 14
 
9.9%
홀 13
 
9.2%
아 9
 
6.3%
트 8
 
5.6%
영 5
 
3.5%
소 4
 
2.8%
경 4
 
2.8%
관 3
 
2.1%
원 3
 
2.1%
Other values (48) 65
45.8%
ASCII
ValueCountFrequency (%)
8
15.7%
K 4
 
7.8%
L 3
 
5.9%
B 3
 
5.9%
H 3
 
5.9%
3 3
 
5.9%
) 3
 
5.9%
C 3
 
5.9%
( 3
 
5.9%
S 3
 
5.9%
Other values (12) 15
29.4%

최종수정일자
Date

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2003-04-18 15:28:10
Maximum2024-05-02 17:48:45
2024-05-11T15:02:06.198879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:06.346959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
22 
U
8 

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 22
73.3%
U 8
 
26.7%

Length

2024-05-11T15:02:06.548444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:06.716780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
73.3%
u 8
 
26.7%

데이터갱신일자
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2018-08-31 23:59:59.0
19 
2021-12-16 02:40:00.0
2 
2023-12-05 00:04:00.0
 
1
2018-09-05 23:59:59.0
 
1
2020-12-18 02:40:00.0
 
1
Other values (6)
6 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 19
63.3%
2021-12-16 02:40:00.0 2
 
6.7%
2023-12-05 00:04:00.0 1
 
3.3%
2018-09-05 23:59:59.0 1
 
3.3%
2020-12-18 02:40:00.0 1
 
3.3%
2022-11-01 22:08:00.0 1
 
3.3%
2018-09-14 23:59:59.0 1
 
3.3%
2021-03-24 00:23:10.0 1
 
3.3%
2021-10-10 00:22:47.0 1
 
3.3%
2022-12-07 21:00:00.0 1
 
3.3%

Length

2024-05-11T15:02:06.877651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 21
35.0%
2018-08-31 19
31.7%
02:40:00.0 3
 
5.0%
2021-12-16 2
 
3.3%
2021-03-24 1
 
1.7%
2023-12-01 1
 
1.7%
21:00:00.0 1
 
1.7%
2022-12-07 1
 
1.7%
00:22:47.0 1
 
1.7%
2021-10-10 1
 
1.7%
Other values (9) 9
15.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192110.79
Minimum190478.31
Maximum194892.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:02:07.123138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190478.31
5-th percentile190802.66
Q1191436.51
median191939.24
Q3192450.46
95-th percentile194632.53
Maximum194892.13
Range4413.8218
Interquartile range (IQR)1013.9446

Descriptive statistics

Standard deviation1114.1648
Coefficient of variation (CV)0.0057995952
Kurtosis1.2082673
Mean192110.79
Median Absolute Deviation (MAD)554.18277
Skewness1.2299534
Sum5763323.8
Variance1241363.3
MonotonicityNot monotonic
2024-05-11T15:02:07.295614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
191952.897386555 3
 
10.0%
192538.786642476 3
 
10.0%
192185.469140553 2
 
6.7%
194632.526367463 2
 
6.7%
191590.878296395 2
 
6.7%
191960.889844759 2
 
6.7%
191385.057392247 2
 
6.7%
191747.252214472 1
 
3.3%
191103.173383715 1
 
3.3%
193644.210676231 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
190478.312607302 1
3.3%
190682.998388881 1
3.3%
190948.910717779 1
3.3%
191067.138625293 1
3.3%
191103.173383715 1
3.3%
191177.584475692 1
3.3%
191385.057392247 2
6.7%
191590.878296395 2
6.7%
191682.526828098 1
3.3%
191747.252214472 1
3.3%
ValueCountFrequency (%)
194892.134419761 1
 
3.3%
194632.526367463 2
6.7%
193644.210676231 1
 
3.3%
193293.251953215 1
 
3.3%
192538.786642476 3
10.0%
192185.469140553 2
6.7%
191960.889844759 2
6.7%
191952.897386555 3
10.0%
191925.582929646 1
 
3.3%
191895.338228361 1
 
3.3%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446530.26
Minimum443809.77
Maximum447965.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:02:07.434024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443809.77
5-th percentile445786.98
Q1446289.99
median446438.64
Q3446931.55
95-th percentile447685.23
Maximum447965.65
Range4155.8717
Interquartile range (IQR)641.55463

Descriptive statistics

Standard deviation740.7533
Coefficient of variation (CV)0.0016589095
Kurtosis5.8348674
Mean446530.26
Median Absolute Deviation (MAD)179.18231
Skewness-1.2645857
Sum13395908
Variance548715.45
MonotonicityNot monotonic
2024-05-11T15:02:07.593188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
446340.637133232 3
 
10.0%
447017.15917925 3
 
10.0%
446594.018308759 2
 
6.7%
446401.926526228 2
 
6.7%
446489.41953806 2
 
6.7%
446273.11078284 2
 
6.7%
446098.555926507 2
 
6.7%
446393.375935392 1
 
3.3%
447109.925701334 1
 
3.3%
446557.559334636 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
443809.773854649 1
 
3.3%
445532.046664548 1
 
3.3%
446098.555926507 2
6.7%
446230.0372964 1
 
3.3%
446245.80638739 1
 
3.3%
446273.11078284 2
6.7%
446340.637133232 3
10.0%
446349.604394245 1
 
3.3%
446393.375935392 1
 
3.3%
446401.926526228 2
6.7%
ValueCountFrequency (%)
447965.645513185 1
 
3.3%
447875.496085719 1
 
3.3%
447452.686098735 1
 
3.3%
447448.342915454 1
 
3.3%
447109.925701334 1
 
3.3%
447017.15917925 3
10.0%
446674.710451173 1
 
3.3%
446594.018308759 2
6.7%
446557.559334636 1
 
3.3%
446489.41953806 2
6.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
공연장
26 
<NA>
4 

Length

Max length4
Median length3
Mean length3.1333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:07.770055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:07.954522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 26
86.7%
na 4
 
13.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
공연장
26 
<NA>
4 

Length

Max length4
Median length3
Mean length3.1333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:08.145019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:08.341115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 26
86.7%
na 4
 
13.3%

지역구분명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
21 
근린상업지역
7 
준주거지역
 
1
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.5666667
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
70.0%
근린상업지역 7
 
23.3%
준주거지역 1
 
3.3%
일반상업지역 1
 
3.3%

Length

2024-05-11T15:02:08.577347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:08.790201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
70.0%
근린상업지역 7
 
23.3%
준주거지역 1
 
3.3%
일반상업지역 1
 
3.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)26.9%
Missing4
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean2.8076923
Minimum0
Maximum25
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:02:08.998235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile8.25
Maximum25
Range25
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.2537166
Coefficient of variation (CV)1.8711867
Kurtosis12.983353
Mean2.8076923
Median Absolute Deviation (MAD)0
Skewness3.2731546
Sum73
Variance27.601538
MonotonicityNot monotonic
2024-05-11T15:02:09.234199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 15
50.0%
3 3
 
10.0%
6 3
 
10.0%
5 2
 
6.7%
9 1
 
3.3%
25 1
 
3.3%
2 1
 
3.3%
(Missing) 4
 
13.3%
ValueCountFrequency (%)
0 15
50.0%
2 1
 
3.3%
3 3
 
10.0%
5 2
 
6.7%
6 3
 
10.0%
9 1
 
3.3%
25 1
 
3.3%
ValueCountFrequency (%)
25 1
 
3.3%
9 1
 
3.3%
6 3
 
10.0%
5 2
 
6.7%
3 3
 
10.0%
2 1
 
3.3%
0 15
50.0%

주변환경명
Text

MISSING 

Distinct5
Distinct (%)50.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2024-05-11T15:02:09.455108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length4.3
Min length2

Characters and Unicode

Total characters43
Distinct characters22
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

Unique3 ?
Unique (%)30.0%

Sample

1st row기타
2nd row유흥업소밀집지역
3rd row기타
4th row유흥업소밀집지역
5th row기타
ValueCountFrequency (%)
기타 5
50.0%
유흥업소밀집지역 2
 
20.0%
주택가주변 1
 
10.0%
결혼예식장주변 1
 
10.0%
아파트지역 1
 
10.0%
2024-05-11T15:02:09.909659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 5
 
11.6%
타 5
 
11.6%
지 3
 
7.0%
역 3
 
7.0%
주 3
 
7.0%
유 2
 
4.7%
흥 2
 
4.7%
업 2
 
4.7%
소 2
 
4.7%
밀 2
 
4.7%
Other values (12) 14
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5
 
11.6%
타 5
 
11.6%
지 3
 
7.0%
역 3
 
7.0%
주 3
 
7.0%
유 2
 
4.7%
흥 2
 
4.7%
업 2
 
4.7%
소 2
 
4.7%
밀 2
 
4.7%
Other values (12) 14
32.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5
 
11.6%
타 5
 
11.6%
지 3
 
7.0%
역 3
 
7.0%
주 3
 
7.0%
유 2
 
4.7%
흥 2
 
4.7%
업 2
 
4.7%
소 2
 
4.7%
밀 2
 
4.7%
Other values (12) 14
32.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 5
 
11.6%
타 5
 
11.6%
지 3
 
7.0%
역 3
 
7.0%
주 3
 
7.0%
유 2
 
4.7%
흥 2
 
4.7%
업 2
 
4.7%
소 2
 
4.7%
밀 2
 
4.7%
Other values (12) 14
32.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

건물용도명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
근린생활시설
7 
문화시설
4 
기타
 
1

Length

Max length6
Median length4
Mean length4.4
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
근린생활시설 7
 
23.3%
문화시설 4
 
13.3%
기타 1
 
3.3%

Length

2024-05-11T15:02:10.535042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:10.738364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
근린생활시설 7
 
23.3%
문화시설 4
 
13.3%
기타 1
 
3.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)26.9%
Missing4
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean2.0384615
Minimum0
Maximum20
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:02:10.909381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6.75
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.294003
Coefficient of variation (CV)2.106492
Kurtosis12.376157
Mean2.0384615
Median Absolute Deviation (MAD)0
Skewness3.2224702
Sum53
Variance18.438462
MonotonicityNot monotonic
2024-05-11T15:02:11.148091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 18
60.0%
5 2
 
6.7%
3 2
 
6.7%
7 1
 
3.3%
20 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%
(Missing) 4
 
13.3%
ValueCountFrequency (%)
0 18
60.0%
3 2
 
6.7%
4 1
 
3.3%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
20 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 2
 
6.7%
4 1
 
3.3%
3 2
 
6.7%
0 18
60.0%

지하층수
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
17 
1
4 
<NA>
4 
2
3 
3
 
1

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row0
2nd row3
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
56.7%
1 4
 
13.3%
<NA> 4
 
13.3%
2 3
 
10.0%
3 1
 
3.3%
5 1
 
3.3%

Length

2024-05-11T15:02:11.431405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:11.673513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
56.7%
1 4
 
13.3%
na 4
 
13.3%
2 3
 
10.0%
3 1
 
3.3%
5 1
 
3.3%

객실수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:11.915345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:12.098393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

건축연면적
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:12.298661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:12.474823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:12.683105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:12.866460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

선박척수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:13.094413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:13.283143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

무대면적
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:13.474003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:13.673841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

좌석수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:13.897479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:14.101239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:14.287779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:14.498145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

시설면적
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0.0
21 
<NA>
4 
1596.83
 
2
4546.59
 
2
230.0
 
1

Length

Max length7
Median length3
Mean length3.7333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0.0
2nd row1596.83
3rd row4546.59
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 21
70.0%
<NA> 4
 
13.3%
1596.83 2
 
6.7%
4546.59 2
 
6.7%
230.0 1
 
3.3%

Length

2024-05-11T15:02:14.713511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:14.938115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
70.0%
na 4
 
13.3%
1596.83 2
 
6.7%
4546.59 2
 
6.7%
230.0 1
 
3.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:15.138149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:15.284349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자본금
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
<NA>
4 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
<NA> 4
 
13.3%

Length

2024-05-11T15:02:15.432480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:15.577754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
na 4
 
13.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시설규모
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
<NA>
4 
1597
 
2
4547
 
2
230
 
1

Length

Max length4
Median length1
Mean length1.8666667
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row1597
3rd row4547
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 21
70.0%
<NA> 4
 
13.3%
1597 2
 
6.7%
4547 2
 
6.7%
230 1
 
3.3%

Length

2024-05-11T15:02:15.762716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:15.949337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
na 4
 
13.3%
1597 2
 
6.7%
4547 2
 
6.7%
230 1
 
3.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03180000CDFE123000196100000119610801<NA>3폐업03폐업20001216<NA><NA><NA>2634-3811<NA>150035서울특별시 영등포구 영등포동5가 6-0번지서울특별시 영등포구 영등포로43길 3-2 (영등포동5가)<NA>영보극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191747.252214446393.375935공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
13180000CDFE123000196300000119630708<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>678-1014<NA>150033서울특별시 영등포구 영등포동3가 2-0번지서울특별시 영등포구 영등포로 256 (영등포동3가)<NA>연흥극장1관2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191960.889845446273.110783공연장공연장근린상업지역3기타<NA><NA>근린생활시설0300<NA><NA>00<NA>00<NA>01596.83<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>1597
23180000CDFE123000196900000119690726<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>2634-3212<NA>150903서울특별시 영등포구 영등포동2가 175-0번지서울특별시 영등포구 영등포로 253 (영등포동2가)<NA>경원극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191952.897387446340.637133공연장공연장근린상업지역6유흥업소밀집지역<NA><NA>근린생활시설5100<NA><NA>00<NA>00<NA>04546.59<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>4547
33180000CDFE123000198100000119810122<NA>3폐업03폐업20020308<NA><NA><NA>826-7631<NA>150901서울특별시 영등포구 영등포동2가 94-139번지서울특별시 영등포구 버드나루로 30 (영등포동2가)<NA>명화극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>192185.469141446594.018309공연장공연장근린상업지역0<NA><NA><NA>근린생활시설0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
43180000CDFE123000198300000119831216<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>789-5679<NA>150896서울특별시 영등포구 여의도동 60-0번지서울특별시 영등포구 63로 50 (여의도동)<NA>(주)63시티2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>194632.526367446401.926526공연장공연장근린상업지역0기타<NA><NA>근린생활시설0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
53180000CDFE123000198300000219831216<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>6785-925<NA>150033서울특별시 영등포구 영등포동3가 5-70번지서울특별시 영등포구 영등포로 228 (영등포동3가)<NA>영등포극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191682.526828446349.604394공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
63180000CDFE123000198400000119840912<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>2634-2712<NA>150800서울특별시 영등포구 당산동1가 6-0번지서울특별시 영등포구 영등포로 164 (당산동1가)<NA>남도극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191067.138625446475.355262공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
73180000CDFE123000198800000119881219<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>2635-0819<NA>150033서울특별시 영등포구 영등포동3가 13-0번지서울특별시 영등포구 영등포로50길 5 (영등포동3가)<NA>미산소극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191925.58293446245.806387공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
83180000CDFE123000198900000119890307<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>677-9195<NA>150035서울특별시 영등포구 영등포동5가 24-0번지서울특별시 영등포구 영등포로37길 4 (영등포동5가)<NA>푸른소극장2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191590.878296446489.419538공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
93180000CDFE123000198900000219890807<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>2634-3212<NA>150903서울특별시 영등포구 영등포동2가 175-0번지서울특별시 영등포구 영등포로 253 (영등포동2가)<NA>경원극장 2관2003-04-18 15:28:10I2018-08-31 23:59:59.0<NA>191952.897387446340.637133공연장공연장근린상업지역6유흥업소밀집지역<NA><NA>근린생활시설5100<NA><NA>00<NA>00<NA>04546.59<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>4547
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
203180000CDFE123000201100000120111004<NA>1영업/정상13영업중<NA><NA><NA><NA>2633-3311<NA>150806서울특별시 영등포구 당산동4가 93-1번지 TCC Center서울특별시 영등포구 국회대로 539 (당산동4가, TCC Center)150806TCC아트홀2017-12-19 18:15:30I2018-08-31 23:59:59.0<NA>190682.998389447452.686099공연장공연장<NA>6결혼예식장주변<NA><NA>문화시설6200<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
213180000CDFE123000201200000120120229<NA>3폐업03폐업20180905<NA><NA><NA>447-3333<NA>150897서울특별시 영등포구 여의도동 86번지 파라다이스서울특별시 영등포구 여의동로 252 (여의도동, 파라다이스)150897아리수 아트홀2018-09-05 16:23:50U2018-09-05 23:59:59.0<NA>194892.13442446674.710451공연장공연장<NA>2기타<NA><NA>기타0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
223180000CDFE123000201400000120141030<NA>3폐업03폐업20211215<NA><NA><NA>02-781-2280<NA>150790서울특별시 영등포구 여의도동 18서울특별시 영등포구 여의공원로 13 (여의도동, KBS한국방송)150790KBS아트홀2021-12-14 13:34:31U2021-12-16 02:40:00.0<NA>192538.786642447017.159179공연장공연장일반상업지역5기타<NA><NA><NA>4100<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
233180000CDFE123000201600000120160602<NA>3폐업03폐업20201205<NA><NA><NA>02-6925-6956<NA><NA>서울특별시 영등포구 영등포동4가 442서울특별시 영등포구 영중로 15, B2층 (영등포동4가, 타임스퀘어)7305키즈앤키즈 소극장2020-12-16 09:38:22U2020-12-18 02:40:00.0<NA>191385.057392446098.555927공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
243180000CDFE12300020180000012018-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2654-3346<NA><NA>서울특별시 영등포구 영등포동5가 24 동남상가아파트서울특별시 영등포구 영등포로37길 4, 3층 (영등포동5가, 동남상가아파트)7250푸른극장2023-12-26 14:33:00U2022-11-01 22:08:00.0<NA>191590.878296446489.419538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253180000CDFE123000201800000220180914<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6949-2016<NA><NA>서울특별시 영등포구 당산동5가 7-2번지 유원제일2차아파트상가내서울특별시 영등포구 선유동2로 46, 유원제일2차아파트상가내 지하1층 (당산동5가)7213창작플랫폼 경험과 상상2018-09-14 08:48:17U2018-09-14 23:59:59.0<NA>190948.910718447875.496086공연장공연장<NA>0아파트지역<NA><NA>문화시설0100<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
263180000CDFE123000202100000120210322<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2613-0428<NA><NA>서울특별시 영등포구 문래동2가 28서울특별시 영등포구 경인로 715, 지층 1호 (문래동2가)7289후케즈(HUKEZ)2021-03-22 19:13:55I2021-03-24 00:23:10.0<NA>190478.312607445532.046665공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
273180000CDFE123000202100000220211008<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2004-9592<NA><NA>서울특별시 영등포구 여의도동 34-8서울특별시 영등포구 국제금융로8길 16, 신영증권빌딩 1층 (여의도동)7330신영체임버홀2021-10-08 13:18:42I2021-10-10 00:22:47.0<NA>193644.210676446557.559335공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
283180000CDFE12300020230000022023-08-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-781-1000<NA><NA>서울특별시 영등포구 여의도동 18 한국방송공사서울특별시 영등포구 여의공원로 13, 한국방송공사 (여의도동)7235KBS홀2023-08-28 17:52:56I2022-12-07 21:00:00.0<NA>192538.786642447017.159179<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293180000CDFE12300020230000032023-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3478-5235<NA><NA>서울특별시 영등포구 영등포동2가 94-139 명화빌딩서울특별시 영등포구 버드나루로 30, 명화빌딩 2,3,4층 (영등포동2가)7254MH LIVE HALL(명화라이브홀)2024-02-23 08:55:28U2023-12-01 22:05:00.0<NA>192185.469141446594.018309<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>