Overview

Dataset statistics

Number of variables56
Number of observations88
Missing cells2328
Missing cells (%)47.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory487.5 B

Variable types

Numeric6
Categorical19
DateTime3
Unsupported21
Text7

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,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16057/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (91.0%)Imbalance
총층수 is highly imbalanced (67.9%)Imbalance
지상층수 is highly imbalanced (64.3%)Imbalance
지하층수 is highly imbalanced (66.7%)Imbalance
통로너비 is highly imbalanced (56.1%)Imbalance
조명시설조도 is highly imbalanced (56.1%)Imbalance
노래방실수 is highly imbalanced (56.1%)Imbalance
청소년실수 is highly imbalanced (56.1%)Imbalance
총게임기수 is highly imbalanced (56.1%)Imbalance
지역구분명 is highly imbalanced (77.6%)Imbalance
폐업일자 has 65 (73.9%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
전화번호 has 43 (48.9%) missing valuesMissing
소재지면적 has 88 (100.0%) missing valuesMissing
소재지우편번호 has 78 (88.6%) missing valuesMissing
도로명우편번호 has 22 (25.0%) missing valuesMissing
업태구분명 has 88 (100.0%) missing valuesMissing
주변환경명 has 86 (97.7%) missing valuesMissing
제작취급품목내용 has 45 (51.1%) missing valuesMissing
시설면적 has 57 (64.8%) missing valuesMissing
건물용도명 has 84 (95.5%) missing valuesMissing
비상계단여부 has 88 (100.0%) missing valuesMissing
비상구여부 has 88 (100.0%) missing valuesMissing
자동환기여부 has 88 (100.0%) missing valuesMissing
청소년실여부 has 88 (100.0%) missing valuesMissing
특수조명여부 has 88 (100.0%) missing valuesMissing
방음시설여부 has 88 (100.0%) missing valuesMissing
비디오재생기명 has 88 (100.0%) missing valuesMissing
조명시설유무 has 88 (100.0%) missing valuesMissing
음향시설여부 has 88 (100.0%) missing valuesMissing
편의시설여부 has 88 (100.0%) missing valuesMissing
소방시설여부 has 88 (100.0%) missing valuesMissing
기존게임업외업종명 has 88 (100.0%) missing valuesMissing
제공게임물명 has 88 (100.0%) missing valuesMissing
공연장형태구분명 has 88 (100.0%) missing valuesMissing
품목명 has 88 (100.0%) missing valuesMissing
최초등록시점 has 88 (100.0%) missing valuesMissing
최종수정일자 has unique valuesUnique
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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 10 (11.4%) zerosZeros

Reproduction

Analysis started2024-04-29 18:50:09.206538
Analysis finished2024-04-29 18:50:10.065568
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3166704.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-30T03:50:10.123438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3013500
Q13130000
median3210000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation74443.863
Coefficient of variation (CV)0.023508307
Kurtosis-0.19135759
Mean3166704.5
Median Absolute Deviation (MAD)10000
Skewness-1.1273844
Sum2.7867 × 108
Variance5.5418887 × 109
MonotonicityNot monotonic
2024-04-30T03:50:10.218391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3220000 31
35.2%
3210000 12
 
13.6%
3130000 9
 
10.2%
3230000 6
 
6.8%
3040000 5
 
5.7%
3180000 4
 
4.5%
3020000 3
 
3.4%
3010000 3
 
3.4%
3150000 3
 
3.4%
3160000 2
 
2.3%
Other values (7) 10
 
11.4%
ValueCountFrequency (%)
3000000 2
 
2.3%
3010000 3
 
3.4%
3020000 3
 
3.4%
3030000 2
 
2.3%
3040000 5
5.7%
3070000 1
 
1.1%
3110000 1
 
1.1%
3120000 1
 
1.1%
3130000 9
10.2%
3150000 3
 
3.4%
ValueCountFrequency (%)
3240000 1
 
1.1%
3230000 6
 
6.8%
3220000 31
35.2%
3210000 12
 
13.6%
3200000 2
 
2.3%
3180000 4
 
4.5%
3160000 2
 
2.3%
3150000 3
 
3.4%
3130000 9
 
10.2%
3120000 1
 
1.1%

관리번호
Categorical

Distinct43
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
CDFF3241042015000001
 
6
CDFF3241042019000001
 
5
CDFF3241042021000001
 
4
CDFF3241042023000001
 
4
CDFF3241042018000001
 
4
Other values (38)
65 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique23 ?
Unique (%)26.1%

Sample

1st rowCDFF3241042021000001
2nd rowCDFF3241042022000001
3rd rowCDFF3241042023000001
4th rowCDFF3241042023000004
5th rowCDFF3241042019000001

Common Values

ValueCountFrequency (%)
CDFF3241042015000001 6
 
6.8%
CDFF3241042019000001 5
 
5.7%
CDFF3241042021000001 4
 
4.5%
CDFF3241042023000001 4
 
4.5%
CDFF3241042018000001 4
 
4.5%
CDFF3241042012000001 4
 
4.5%
CDFF3241042013000001 4
 
4.5%
CDFF3241042022000001 4
 
4.5%
CDFF3241042009000001 3
 
3.4%
CDFF3241042017000001 3
 
3.4%
Other values (33) 47
53.4%

Length

2024-04-30T03:50:10.315698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdff3241042015000001 6
 
6.8%
cdff3241042019000001 5
 
5.7%
cdff3241042021000001 4
 
4.5%
cdff3241042023000001 4
 
4.5%
cdff3241042018000001 4
 
4.5%
cdff3241042012000001 4
 
4.5%
cdff3241042013000001 4
 
4.5%
cdff3241042022000001 4
 
4.5%
cdff3241042008000001 3
 
3.4%
cdff3241042007000002 3
 
3.4%
Other values (33) 47
53.4%

인허가일자
Date

Distinct83
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2007-01-15 00:00:00
Maximum2024-01-09 00:00:00
2024-04-30T03:50:10.435470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:10.566294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
87 
20190123
 
1

Length

Max length8
Median length4
Mean length4.0454545
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
98.9%
20190123 1
 
1.1%

Length

2024-04-30T03:50:10.686546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:10.801384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
98.9%
20190123 1
 
1.1%

영업상태코드
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
1
64 
3
19 
5
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 64
72.7%
3 19
 
21.6%
5 4
 
4.5%
4 1
 
1.1%

Length

2024-04-30T03:50:10.907551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:10.990278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 64
72.7%
3 19
 
21.6%
5 4
 
4.5%
4 1
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
영업/정상
64 
폐업
19 
제외/삭제/전출
 
4
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5909091
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 64
72.7%
폐업 19
 
21.6%
제외/삭제/전출 4
 
4.5%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-04-30T03:50:11.097229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:11.210051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 64
72.7%
폐업 19
 
21.6%
제외/삭제/전출 4
 
4.5%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
13
64 
3
19 
15
 
4
32
 
1

Length

Max length2
Median length2
Mean length1.7840909
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 64
72.7%
3 19
 
21.6%
15 4
 
4.5%
32 1
 
1.1%

Length

2024-04-30T03:50:11.319132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:11.413213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 64
72.7%
3 19
 
21.6%
15 4
 
4.5%
32 1
 
1.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
영업중
64 
폐업
19 
전출
 
4
신고취소
 
1

Length

Max length4
Median length3
Mean length2.75
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 64
72.7%
폐업 19
 
21.6%
전출 4
 
4.5%
신고취소 1
 
1.1%

Length

2024-04-30T03:50:11.537782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:11.684171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 64
72.7%
폐업 19
 
21.6%
전출 4
 
4.5%
신고취소 1
 
1.1%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)100.0%
Missing65
Missing (%)73.9%
Memory size836.0 B
Minimum2007-07-06 00:00:00
Maximum2024-02-08 00:00:00
2024-04-30T03:50:11.808937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:11.932575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

전화번호
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing43
Missing (%)48.9%
Memory size836.0 B
2024-04-30T03:50:12.149593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.044444
Min length8

Characters and Unicode

Total characters497
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

Unique42 ?
Unique (%)93.3%

Sample

1st row02-2660-2550
2nd row02-444-7411
3rd row02-446-7080
4th row02-453-4041
5th row924-0752
ValueCountFrequency (%)
02-562-7188 3
 
6.7%
02-2106-0912 1
 
2.2%
02-2660-2550 1
 
2.2%
2105-2100 1
 
2.2%
2193-0512 1
 
2.2%
510-5250 1
 
2.2%
02-542-7766 1
 
2.2%
02-2106-2011 1
 
2.2%
02-548-5487 1
 
2.2%
02-734-3348 1
 
2.2%
Other values (33) 33
73.3%
2024-04-30T03:50:12.506165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
18.1%
- 83
16.7%
2 74
14.9%
1 49
9.9%
7 37
7.4%
8 37
7.4%
5 35
 
7.0%
4 28
 
5.6%
3 26
 
5.2%
6 23
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 414
83.3%
Dash Punctuation 83
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
21.7%
2 74
17.9%
1 49
11.8%
7 37
8.9%
8 37
8.9%
5 35
 
8.5%
4 28
 
6.8%
3 26
 
6.3%
6 23
 
5.6%
9 15
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 497
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
18.1%
- 83
16.7%
2 74
14.9%
1 49
9.9%
7 37
7.4%
8 37
7.4%
5 35
 
7.0%
4 28
 
5.6%
3 26
 
5.2%
6 23
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
18.1%
- 83
16.7%
2 74
14.9%
1 49
9.9%
7 37
7.4%
8 37
7.4%
5 35
 
7.0%
4 28
 
5.6%
3 26
 
5.2%
6 23
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing78
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean139757.9
Minimum135502
Maximum152848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-30T03:50:12.618065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135502
5-th percentile135643.3
Q1135900
median137492.5
Q3137870.25
95-th percentile151958.35
Maximum152848
Range17346
Interquartile range (IQR)1970.25

Descriptive statistics

Standard deviation6461.6423
Coefficient of variation (CV)0.04623454
Kurtosis1.3831125
Mean139757.9
Median Absolute Deviation (MAD)1581.5
Skewness1.7115672
Sum1397579
Variance41752821
MonotonicityNot monotonic
2024-04-30T03:50:12.725275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
152848 1
 
1.1%
150871 1
 
1.1%
137855 1
 
1.1%
137873 1
 
1.1%
137862 1
 
1.1%
137130 1
 
1.1%
135502 1
 
1.1%
135933 1
 
1.1%
135816 1
 
1.1%
135889 1
 
1.1%
(Missing) 78
88.6%
ValueCountFrequency (%)
135502 1
1.1%
135816 1
1.1%
135889 1
1.1%
135933 1
1.1%
137130 1
1.1%
137855 1
1.1%
137862 1
1.1%
137873 1
1.1%
150871 1
1.1%
152848 1
1.1%
ValueCountFrequency (%)
152848 1
1.1%
150871 1
1.1%
137873 1
1.1%
137862 1
1.1%
137855 1
1.1%
137130 1
1.1%
135933 1
1.1%
135889 1
1.1%
135816 1
1.1%
135502 1
1.1%

지번주소
Text

Distinct85
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-04-30T03:50:12.973408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33.5
Mean length26.522727
Min length14

Characters and Unicode

Total characters2334
Distinct characters171
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

Unique82 ?
Unique (%)93.2%

Sample

1st row서울특별시 용산구 한강로*가 **-** 금영빌딩
2nd row서울특별시 관악구 신림동 ****-*
3rd row서울특별시 송파구 방이동 **-*
4th row서울특별시 강남구 역삼동 ***-* 유창빌딩
5th row서울특별시 서초구 서초동 ****-** 한화생명보험빌딩
ValueCountFrequency (%)
서울특별시 88
19.8%
번지 53
 
11.9%
34
 
7.6%
강남구 30
 
6.7%
층 16
 
3.6%
호 13
 
2.9%
서초구 13
 
2.9%
논현동 10
 
2.2%
마포구 9
 
2.0%
역삼동 8
 
1.8%
Other values (115) 171
38.4%
2024-04-30T03:50:13.368901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 430
18.4%
411
17.6%
서 119
 
5.1%
구 95
 
4.1%
동 93
 
4.0%
시 89
 
3.8%
울 89
 
3.8%
특 88
 
3.8%
별 88
 
3.8%
- 63
 
2.7%
Other values (161) 769
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1400
60.0%
Other Punctuation 432
 
18.5%
Space Separator 411
 
17.6%
Dash Punctuation 63
 
2.7%
Uppercase Letter 26
 
1.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 119
 
8.5%
구 95
 
6.8%
동 93
 
6.6%
시 89
 
6.4%
울 89
 
6.4%
특 88
 
6.3%
별 88
 
6.3%
지 58
 
4.1%
번 55
 
3.9%
강 39
 
2.8%
Other values (143) 587
41.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
15.4%
K 4
15.4%
E 3
11.5%
M 3
11.5%
S 3
11.5%
J 2
7.7%
O 1
 
3.8%
W 1
 
3.8%
T 1
 
3.8%
R 1
 
3.8%
Other values (3) 3
11.5%
Other Punctuation
ValueCountFrequency (%)
* 430
99.5%
& 2
 
0.5%
Space Separator
ValueCountFrequency (%)
411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1400
60.0%
Common 908
38.9%
Latin 26
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 119
 
8.5%
구 95
 
6.8%
동 93
 
6.6%
시 89
 
6.4%
울 89
 
6.4%
특 88
 
6.3%
별 88
 
6.3%
지 58
 
4.1%
번 55
 
3.9%
강 39
 
2.8%
Other values (143) 587
41.9%
Latin
ValueCountFrequency (%)
C 4
15.4%
K 4
15.4%
E 3
11.5%
M 3
11.5%
S 3
11.5%
J 2
7.7%
O 1
 
3.8%
W 1
 
3.8%
T 1
 
3.8%
R 1
 
3.8%
Other values (3) 3
11.5%
Common
ValueCountFrequency (%)
* 430
47.4%
411
45.3%
- 63
 
6.9%
& 2
 
0.2%
~ 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1400
60.0%
ASCII 934
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 430
46.0%
411
44.0%
- 63
 
6.7%
C 4
 
0.4%
K 4
 
0.4%
E 3
 
0.3%
M 3
 
0.3%
S 3
 
0.3%
J 2
 
0.2%
& 2
 
0.2%
Other values (8) 9
 
1.0%
Hangul
ValueCountFrequency (%)
서 119
 
8.5%
구 95
 
6.8%
동 93
 
6.6%
시 89
 
6.4%
울 89
 
6.4%
특 88
 
6.3%
별 88
 
6.3%
지 58
 
4.1%
번 55
 
3.9%
강 39
 
2.8%
Other values (143) 587
41.9%

도로명주소
Text

Distinct85
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-04-30T03:50:13.597114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length33.409091
Min length22

Characters and Unicode

Total characters2940
Distinct characters213
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)93.2%

Sample

1st row서울특별시 용산구 한강대로 **, 금영빌딩 (한강로*가)
2nd row서울특별시 관악구 호암로**길 **, ***호 (신림동)
3rd row서울특별시 송파구 오금로**길 *, *층 (방이동)
4th row서울특별시 강남구 테헤란로 ***, 유창빌딩 **층 ****호 (역삼동)
5th row서울특별시 서초구 강남대로 ***, 한화생명보험빌딩 **층 (서초동)
ValueCountFrequency (%)
90
 
16.1%
서울특별시 88
 
15.7%
층 43
 
7.7%
강남구 30
 
5.4%
호 21
 
3.8%
서초구 13
 
2.3%
논현동 9
 
1.6%
마포구 9
 
1.6%
강남대로 9
 
1.6%
역삼동 7
 
1.2%
Other values (183) 241
43.0%
2024-04-30T03:50:13.947644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
493
 
16.8%
* 443
 
15.1%
서 121
 
4.1%
로 98
 
3.3%
동 97
 
3.3%
구 96
 
3.3%
, 90
 
3.1%
울 89
 
3.0%
별 88
 
3.0%
시 88
 
3.0%
Other values (203) 1237
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1697
57.7%
Other Punctuation 535
 
18.2%
Space Separator 493
 
16.8%
Open Punctuation 88
 
3.0%
Close Punctuation 88
 
3.0%
Uppercase Letter 29
 
1.0%
Dash Punctuation 6
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 121
 
7.1%
로 98
 
5.8%
동 97
 
5.7%
구 96
 
5.7%
울 89
 
5.2%
별 88
 
5.2%
시 88
 
5.2%
특 88
 
5.2%
층 49
 
2.9%
강 49
 
2.9%
Other values (182) 834
49.1%
Uppercase Letter
ValueCountFrequency (%)
C 5
17.2%
E 4
13.8%
M 3
10.3%
A 3
10.3%
S 3
10.3%
K 3
10.3%
J 2
 
6.9%
L 1
 
3.4%
B 1
 
3.4%
D 1
 
3.4%
Other values (3) 3
10.3%
Other Punctuation
ValueCountFrequency (%)
* 443
82.8%
, 90
 
16.8%
& 2
 
0.4%
Space Separator
ValueCountFrequency (%)
493
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1697
57.7%
Common 1214
41.3%
Latin 29
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 121
 
7.1%
로 98
 
5.8%
동 97
 
5.7%
구 96
 
5.7%
울 89
 
5.2%
별 88
 
5.2%
시 88
 
5.2%
특 88
 
5.2%
층 49
 
2.9%
강 49
 
2.9%
Other values (182) 834
49.1%
Latin
ValueCountFrequency (%)
C 5
17.2%
E 4
13.8%
M 3
10.3%
A 3
10.3%
S 3
10.3%
K 3
10.3%
J 2
 
6.9%
L 1
 
3.4%
B 1
 
3.4%
D 1
 
3.4%
Other values (3) 3
10.3%
Common
ValueCountFrequency (%)
493
40.6%
* 443
36.5%
, 90
 
7.4%
( 88
 
7.2%
) 88
 
7.2%
- 6
 
0.5%
~ 4
 
0.3%
& 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1697
57.7%
ASCII 1243
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
493
39.7%
* 443
35.6%
, 90
 
7.2%
( 88
 
7.1%
) 88
 
7.1%
- 6
 
0.5%
C 5
 
0.4%
~ 4
 
0.3%
E 4
 
0.3%
M 3
 
0.2%
Other values (11) 19
 
1.5%
Hangul
ValueCountFrequency (%)
서 121
 
7.1%
로 98
 
5.8%
동 97
 
5.7%
구 96
 
5.7%
울 89
 
5.2%
별 88
 
5.2%
시 88
 
5.2%
특 88
 
5.2%
층 49
 
2.9%
강 49
 
2.9%
Other values (182) 834
49.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)90.9%
Missing22
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean7962.3788
Minimum2831
Maximum157812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-30T03:50:14.069680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2831
5-th percentile3472
Q14637
median6042.5
Q36281
95-th percentile8364
Maximum157812
Range154981
Interquartile range (IQR)1644

Descriptive statistics

Standard deviation18778.227
Coefficient of variation (CV)2.358369
Kurtosis65.27818
Mean7962.3788
Median Absolute Deviation (MAD)709.5
Skewness8.0583437
Sum525517
Variance3.5262182 × 108
MonotonicityNot monotonic
2024-04-30T03:50:14.185734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6043 2
 
2.3%
3926 2
 
2.3%
4637 2
 
2.3%
4992 2
 
2.3%
3909 2
 
2.3%
6221 2
 
2.3%
6126 1
 
1.1%
6349 1
 
1.1%
6524 1
 
1.1%
4335 1
 
1.1%
Other values (50) 50
56.8%
(Missing) 22
25.0%
ValueCountFrequency (%)
2831 1
1.1%
3142 1
1.1%
3161 1
1.1%
3382 1
1.1%
3742 1
1.1%
3909 2
2.3%
3925 1
1.1%
3926 2
2.3%
3999 1
1.1%
4048 1
1.1%
ValueCountFrequency (%)
157812 1
1.1%
8812 1
1.1%
8785 1
1.1%
8389 1
1.1%
8289 1
1.1%
7803 1
1.1%
7733 1
1.1%
7326 1
1.1%
7237 1
1.1%
6628 1
1.1%

사업장명
Text

Distinct79
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-04-30T03:50:14.351520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.0909091
Min length4

Characters and Unicode

Total characters800
Distinct characters169
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)79.5%

Sample

1st row주식회사 금영엔터테인먼트
2nd row(주)레드슬리퍼스
3rd row주식회사 뮤팟
4th row주식회사 소이미디어
5th row(주)드림어스컴퍼니
ValueCountFrequency (%)
주식회사 21
 
17.9%
유한회사 3
 
2.6%
오디오가이(주 2
 
1.7%
주 2
 
1.7%
주)씨씨엠러브 2
 
1.7%
주)리틀송뮤직 2
 
1.7%
버디뮤직(주 2
 
1.7%
주)블렌딩 2
 
1.7%
주)와이지플러스 2
 
1.7%
소이미디어 2
 
1.7%
Other values (75) 77
65.8%
2024-04-30T03:50:14.621063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 74
 
9.2%
) 53
 
6.6%
( 52
 
6.5%
이 30
 
3.8%
29
 
3.6%
사 26
 
3.2%
스 26
 
3.2%
회 25
 
3.1%
리 23
 
2.9%
식 23
 
2.9%
Other values (159) 439
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
81.4%
Close Punctuation 53
 
6.6%
Open Punctuation 52
 
6.5%
Space Separator 29
 
3.6%
Lowercase Letter 8
 
1.0%
Uppercase Letter 4
 
0.5%
Decimal Number 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 74
 
11.4%
이 30
 
4.6%
사 26
 
4.0%
스 26
 
4.0%
회 25
 
3.8%
리 23
 
3.5%
식 23
 
3.5%
디 14
 
2.2%
뮤 13
 
2.0%
엔 12
 
1.8%
Other values (142) 385
59.1%
Lowercase Letter
ValueCountFrequency (%)
t 2
25.0%
g 1
12.5%
n 1
12.5%
o 1
12.5%
e 1
12.5%
l 1
12.5%
i 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
M 1
25.0%
S 1
25.0%
L 1
25.0%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 651
81.4%
Common 137
 
17.1%
Latin 12
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 74
 
11.4%
이 30
 
4.6%
사 26
 
4.0%
스 26
 
4.0%
회 25
 
3.8%
리 23
 
3.5%
식 23
 
3.5%
디 14
 
2.2%
뮤 13
 
2.0%
엔 12
 
1.8%
Other values (142) 385
59.1%
Latin
ValueCountFrequency (%)
t 2
16.7%
J 1
8.3%
M 1
8.3%
g 1
8.3%
n 1
8.3%
o 1
8.3%
S 1
8.3%
e 1
8.3%
l 1
8.3%
i 1
8.3%
Common
ValueCountFrequency (%)
) 53
38.7%
( 52
38.0%
29
21.2%
- 1
 
0.7%
9 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 651
81.4%
ASCII 149
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 74
 
11.4%
이 30
 
4.6%
사 26
 
4.0%
스 26
 
4.0%
회 25
 
3.8%
리 23
 
3.5%
식 23
 
3.5%
디 14
 
2.2%
뮤 13
 
2.0%
엔 12
 
1.8%
Other values (142) 385
59.1%
ASCII
ValueCountFrequency (%)
) 53
35.6%
( 52
34.9%
29
19.5%
t 2
 
1.3%
J 1
 
0.7%
M 1
 
0.7%
g 1
 
0.7%
n 1
 
0.7%
o 1
 
0.7%
S 1
 
0.7%
Other values (7) 7
 
4.7%

최종수정일자
Date

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2007-01-15 17:19:43
Maximum2024-04-23 20:57:02
2024-04-30T03:50:14.755313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:50:15.056816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
54 
U
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 54
61.4%
U 34
38.6%

Length

2024-04-30T03:50:15.166130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:15.254575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 54
61.4%
u 34
38.6%

데이터갱신일자
Categorical

Distinct43
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2018-08-31 23:59:59.0
43 
2019-01-25 02:40:00.0
 
2
2020-05-27 02:40:00.0
 
2
2021-12-04 23:09:00.0
 
2
2023-11-30 23:02:00.0
 
1
Other values (38)
38 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique39 ?
Unique (%)44.3%

Sample

1st row2022-12-04 00:08:00.0
2nd row2023-12-03 00:09:00.0
3rd row2022-10-30 22:06:00.0
4th row2022-11-02 00:09:00.0
5th row2021-12-04 23:03:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 43
48.9%
2019-01-25 02:40:00.0 2
 
2.3%
2020-05-27 02:40:00.0 2
 
2.3%
2021-12-04 23:09:00.0 2
 
2.3%
2023-11-30 23:02:00.0 1
 
1.1%
2023-11-30 22:07:00.0 1
 
1.1%
2022-10-30 22:06:00.0 1
 
1.1%
2022-11-02 00:09:00.0 1
 
1.1%
2021-12-04 23:03:00.0 1
 
1.1%
2019-07-03 02:40:00.0 1
 
1.1%
Other values (33) 33
37.5%

Length

2024-04-30T03:50:15.358156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 44
25.0%
2018-08-31 43
24.4%
02:40:00.0 18
 
10.2%
2023-11-30 4
 
2.3%
2021-12-04 3
 
1.7%
22:06:00.0 2
 
1.1%
23:00:00.0 2
 
1.1%
23:04:00.0 2
 
1.1%
2023-12-03 2
 
1.1%
23:03:00.0 2
 
1.1%
Other values (48) 54
30.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

좌표정보(X)
Real number (ℝ)

Distinct81
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200545.01
Minimum183172.23
Maximum215784.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-30T03:50:15.453467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183172.23
5-th percentile190144.14
Q1196704.99
median202378.66
Q3203818.66
95-th percentile209593.73
Maximum215784.23
Range32611.995
Interquartile range (IQR)7113.671

Descriptive statistics

Standard deviation6415.9182
Coefficient of variation (CV)0.031992409
Kurtosis-0.065309959
Mean200545.01
Median Absolute Deviation (MAD)3549.683
Skewness-0.48350265
Sum17647961
Variance41164006
MonotonicityNot monotonic
2024-04-30T03:50:15.560233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201750.935 2
 
2.3%
202058.674687128 2
 
2.3%
203075.810741603 2
 
2.3%
190144.143203955 2
 
2.3%
207872.906965301 2
 
2.3%
190353.477730395 2
 
2.3%
203698.737137846 2
 
2.3%
202806.801758331 1
 
1.1%
203160.140029866 1
 
1.1%
197814.567521224 1
 
1.1%
Other values (71) 71
80.7%
ValueCountFrequency (%)
183172.231545973 1
1.1%
185297.0 1
1.1%
187584.738673387 1
1.1%
189855.433985731 1
1.1%
190144.143203955 2
2.3%
190349.885855531 1
1.1%
190353.477730395 2
2.3%
190373.610758494 1
1.1%
190671.436719919 1
1.1%
192562.73139604 1
1.1%
ValueCountFrequency (%)
215784.2264 1
1.1%
211053.119518 1
1.1%
210428.601045756 1
1.1%
209995.612788762 1
1.1%
209637.078215509 1
1.1%
209513.22527528 1
1.1%
209138.04726487 1
1.1%
208937.760652081 1
1.1%
208688.155079917 1
1.1%
208233.926974585 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct81
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446988.75
Minimum440732.57
Maximum455432.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-30T03:50:15.675296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440732.57
5-th percentile442302.31
Q1444601.67
median446076.25
Q3449654.35
95-th percentile452920.29
Maximum455432.84
Range14700.266
Interquartile range (IQR)5052.6836

Descriptive statistics

Standard deviation3402.0207
Coefficient of variation (CV)0.0076109762
Kurtosis-0.53276957
Mean446988.75
Median Absolute Deviation (MAD)2221.0297
Skewness0.53401484
Sum39335010
Variance11573745
MonotonicityNot monotonic
2024-04-30T03:50:15.792244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445774.145 2
 
2.3%
444618.16731522 2
 
2.3%
445428.961000462 2
 
2.3%
452658.525902179 2
 
2.3%
449818.880547015 2
 
2.3%
452920.29167189 2
 
2.3%
444439.683653923 2
 
2.3%
444686.156114322 1
 
1.1%
446990.33168346 1
 
1.1%
450454.122259014 1
 
1.1%
Other values (71) 71
80.7%
ValueCountFrequency (%)
440732.569663101 1
1.1%
441679.872243 1
1.1%
441945.481588201 1
1.1%
442026.988783 1
1.1%
442219.137493629 1
1.1%
442456.779128474 1
1.1%
442563.269271521 1
1.1%
442873.588039887 1
1.1%
442983.188683868 1
1.1%
443189.699750908 1
1.1%
ValueCountFrequency (%)
455432.835557713 1
1.1%
454721.505180141 1
1.1%
453614.583448105 1
1.1%
453112.077787463 1
1.1%
452920.29167189 2
2.3%
452658.525902179 2
2.3%
452574.67151361 1
1.1%
452177.123807393 1
1.1%
452130.329696 1
1.1%
451577.838950867 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
온라인음악서비스제공업
67 
<NA>
21 

Length

Max length11
Median length11
Mean length9.3295455
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온라인음악서비스제공업 67
76.1%
<NA> 21
 
23.9%

Length

2024-04-30T03:50:15.922480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:16.031567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인음악서비스제공업 67
76.1%
na 21
 
23.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
유통관련업
67 
<NA>
21 

Length

Max length5
Median length5
Mean length4.7613636
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 67
76.1%
<NA> 21
 
23.9%

Length

2024-04-30T03:50:16.128597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:16.216401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 67
76.1%
na 21
 
23.9%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
78 
0
 
7
4
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.6590909
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
88.6%
0 7
 
8.0%
4 2
 
2.3%
5 1
 
1.1%

Length

2024-04-30T03:50:16.320177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:16.421089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
88.6%
0 7
 
8.0%
4 2
 
2.3%
5 1
 
1.1%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing86
Missing (%)97.7%
Memory size836.0 B
2024-04-30T03:50:16.528521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row학교정화(절대)
2nd row기타
ValueCountFrequency (%)
학교정화(절대 1
50.0%
기타 1
50.0%
2024-04-30T03:50:16.752195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1
10.0%
교 1
10.0%
정 1
10.0%
화 1
10.0%
( 1
10.0%
절 1
10.0%
대 1
10.0%
) 1
10.0%
기 1
10.0%
타 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
80.0%
Open Punctuation 1
 
10.0%
Close Punctuation 1
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1
12.5%
교 1
12.5%
정 1
12.5%
화 1
12.5%
절 1
12.5%
대 1
12.5%
기 1
12.5%
타 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
80.0%
Common 2
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1
12.5%
교 1
12.5%
정 1
12.5%
화 1
12.5%
절 1
12.5%
대 1
12.5%
기 1
12.5%
타 1
12.5%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
80.0%
ASCII 2
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1
12.5%
교 1
12.5%
정 1
12.5%
화 1
12.5%
절 1
12.5%
대 1
12.5%
기 1
12.5%
타 1
12.5%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing45
Missing (%)51.1%
Memory size836.0 B
2024-04-30T03:50:16.942456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length27
Mean length19.209302
Min length8

Characters and Unicode

Total characters826
Distinct characters41
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st rowwww.jundosa.com
2nd rowwww.littlesongmusic.com
3rd rowbgmfactory.com
4th rowwww.gcles.co.kr
5th rowwww.goclassic.co.kr
ValueCountFrequency (%)
www.bugs.co.kr 2
 
4.7%
www.anybgm.com 1
 
2.3%
www.campmobile.com 1
 
2.3%
hulahoop.co.kr 1
 
2.3%
www.innomp3.com 1
 
2.3%
www.onlygod.co.kr 1
 
2.3%
soundstore.co.kr 1
 
2.3%
www.soribada.com 1
 
2.3%
www.bingomusic365.com 1
 
2.3%
www.buddymusic.co.kr 1
 
2.3%
Other values (32) 32
74.4%
2024-04-30T03:50:17.259904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 100
 
12.1%
w 98
 
11.9%
o 68
 
8.2%
c 66
 
8.0%
m 50
 
6.1%
t 36
 
4.4%
s 34
 
4.1%
r 33
 
4.0%
e 33
 
4.0%
u 32
 
3.9%
Other values (31) 276
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 676
81.8%
Other Punctuation 131
 
15.9%
Uppercase Letter 7
 
0.8%
Other Letter 6
 
0.7%
Decimal Number 4
 
0.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 98
14.5%
o 68
 
10.1%
c 66
 
9.8%
m 50
 
7.4%
t 36
 
5.3%
s 34
 
5.0%
r 33
 
4.9%
e 33
 
4.9%
u 32
 
4.7%
i 30
 
4.4%
Other values (14) 196
29.0%
Other Letter
ValueCountFrequency (%)
이 1
16.7%
브 1
16.7%
주 1
16.7%
앤 1
16.7%
마 1
16.7%
소 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 100
76.3%
/ 21
 
16.0%
: 9
 
6.9%
, 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
5 1
25.0%
6 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
W 6
85.7%
A 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 683
82.7%
Common 137
 
16.6%
Hangul 6
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 98
14.3%
o 68
 
10.0%
c 66
 
9.7%
m 50
 
7.3%
t 36
 
5.3%
s 34
 
5.0%
r 33
 
4.8%
e 33
 
4.8%
u 32
 
4.7%
i 30
 
4.4%
Other values (16) 203
29.7%
Common
ValueCountFrequency (%)
. 100
73.0%
/ 21
 
15.3%
: 9
 
6.6%
3 2
 
1.5%
5 1
 
0.7%
6 1
 
0.7%
) 1
 
0.7%
( 1
 
0.7%
, 1
 
0.7%
Hangul
ValueCountFrequency (%)
이 1
16.7%
브 1
16.7%
주 1
16.7%
앤 1
16.7%
마 1
16.7%
소 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 820
99.3%
Hangul 6
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 100
 
12.2%
w 98
 
12.0%
o 68
 
8.3%
c 66
 
8.0%
m 50
 
6.1%
t 36
 
4.4%
s 34
 
4.1%
r 33
 
4.0%
e 33
 
4.0%
u 32
 
3.9%
Other values (25) 270
32.9%
Hangul
ValueCountFrequency (%)
이 1
16.7%
브 1
16.7%
주 1
16.7%
앤 1
16.7%
마 1
16.7%
소 1
16.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)71.0%
Missing57
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean324.48968
Minimum0
Maximum2982.12
Zeros10
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-04-30T03:50:17.375450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median47.52
Q3295.27
95-th percentile1661.165
Maximum2982.12
Range2982.12
Interquartile range (IQR)295.27

Descriptive statistics

Standard deviation662.99721
Coefficient of variation (CV)2.0431997
Kurtosis9.5659586
Mean324.48968
Median Absolute Deviation (MAD)47.52
Skewness3.0314595
Sum10059.18
Variance439565.31
MonotonicityNot monotonic
2024-04-30T03:50:17.485566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 10
 
11.4%
193.0 1
 
1.1%
2982.12 1
 
1.1%
3.3 1
 
1.1%
2124.27 1
 
1.1%
562.91 1
 
1.1%
5.0 1
 
1.1%
728.8 1
 
1.1%
198.34 1
 
1.1%
494.76 1
 
1.1%
Other values (12) 12
 
13.6%
(Missing) 57
64.8%
ValueCountFrequency (%)
0.0 10
11.4%
3.3 1
 
1.1%
5.0 1
 
1.1%
6.0 1
 
1.1%
33.69 1
 
1.1%
38.0 1
 
1.1%
47.52 1
 
1.1%
80.95 1
 
1.1%
82.48 1
 
1.1%
124.06 1
 
1.1%
ValueCountFrequency (%)
2982.12 1
1.1%
2124.27 1
1.1%
1198.06 1
1.1%
728.8 1
1.1%
562.91 1
1.1%
494.76 1
1.1%
449.58 1
1.1%
392.2 1
1.1%
198.34 1
1.1%
193.0 1
1.1%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
74 
0
 
7
4
 
4
17
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.5454545
Min length1

Unique

Unique3 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
84.1%
0 7
 
8.0%
4 4
 
4.5%
17 1
 
1.1%
3 1
 
1.1%
18 1
 
1.1%

Length

2024-04-30T03:50:17.600606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:17.698162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
84.1%
0 7
 
8.0%
4 4
 
4.5%
17 1
 
1.1%
3 1
 
1.1%
18 1
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
79 
0
8 
1
 
1

Length

Max length4
Median length4
Mean length3.6931818
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
89.8%
0 8
 
9.1%
1 1
 
1.1%

Length

2024-04-30T03:50:17.795037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:17.899958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
89.8%
0 8
 
9.1%
1 1
 
1.1%

건물용도명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing84
Missing (%)95.5%
Memory size836.0 B
2024-04-30T03:50:18.022372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.75
Min length3

Characters and Unicode

Total characters19
Distinct characters17
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

Unique4 ?
Unique (%)100.0%

Sample

1st row아파트
2nd row교육연구시설
3rd row단독주택
4th row근린생활시설
ValueCountFrequency (%)
아파트 1
25.0%
교육연구시설 1
25.0%
단독주택 1
25.0%
근린생활시설 1
25.0%
2024-04-30T03:50:18.253758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
설 2
 
10.5%
시 2
 
10.5%
단 1
 
5.3%
생 1
 
5.3%
린 1
 
5.3%
근 1
 
5.3%
택 1
 
5.3%
주 1
 
5.3%
독 1
 
5.3%
아 1
 
5.3%
Other values (7) 7
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 2
 
10.5%
시 2
 
10.5%
단 1
 
5.3%
생 1
 
5.3%
린 1
 
5.3%
근 1
 
5.3%
택 1
 
5.3%
주 1
 
5.3%
독 1
 
5.3%
아 1
 
5.3%
Other values (7) 7
36.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 2
 
10.5%
시 2
 
10.5%
단 1
 
5.3%
생 1
 
5.3%
린 1
 
5.3%
근 1
 
5.3%
택 1
 
5.3%
주 1
 
5.3%
독 1
 
5.3%
아 1
 
5.3%
Other values (7) 7
36.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
설 2
 
10.5%
시 2
 
10.5%
단 1
 
5.3%
생 1
 
5.3%
린 1
 
5.3%
근 1
 
5.3%
택 1
 
5.3%
주 1
 
5.3%
독 1
 
5.3%
아 1
 
5.3%
Other values (7) 7
36.8%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
80 
0
 
8

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
90.9%
0 8
 
9.1%

Length

2024-04-30T03:50:18.378265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:18.472305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
90.9%
0 8
 
9.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
80 
0
 
8

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
90.9%
0 8
 
9.1%

Length

2024-04-30T03:50:18.561558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:18.656279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
90.9%
0 8
 
9.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
80 
0
 
8

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
90.9%
0 8
 
9.1%

Length

2024-04-30T03:50:18.760912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:18.842963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
90.9%
0 8
 
9.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
80 
0
 
8

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
90.9%
0 8
 
9.1%

Length

2024-04-30T03:50:18.938140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:19.023072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
90.9%
0 8
 
9.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
80 
0
 
8

Length

Max length4
Median length4
Mean length3.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
90.9%
0 8
 
9.1%

Length

2024-04-30T03:50:19.110293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:19.196088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
90.9%
0 8
 
9.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
83 
일반주거지역
 
4
주거지역
 
1

Length

Max length6
Median length4
Mean length4.0909091
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
94.3%
일반주거지역 4
 
4.5%
주거지역 1
 
1.1%

Length

2024-04-30T03:50:19.289518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:19.378244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
94.3%
일반주거지역 4
 
4.5%
주거지역 1
 
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF32410420210000012021-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2660-2550<NA><NA>서울특별시 용산구 한강로*가 **-** 금영빌딩서울특별시 용산구 한강대로 **, 금영빌딩 (한강로*가)4379주식회사 금영엔터테인먼트2023-04-06 09:10:57U2022-12-04 00:08:00.0<NA>196643.428337446893.019361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13200000CDFF32410420220000012022-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 호암로**길 **, ***호 (신림동)8812(주)레드슬리퍼스2024-03-07 10:36:47U2023-12-03 00:09:00.0<NA>194133.306935440732.569663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF32410420230000012023-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 **-*서울특별시 송파구 오금로**길 *, *층 (방이동)5548주식회사 뮤팟2023-10-24 09:54:17I2022-10-30 22:06:00.0<NA>209513.225275445683.506755<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF32410420230000042019-08-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-* 유창빌딩서울특별시 강남구 테헤란로 ***, 유창빌딩 **층 ****호 (역삼동)6221주식회사 소이미디어2023-12-07 13:28:34I2022-11-02 00:09:00.0<NA>203698.737138444439.683654<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43210000CDFF324104201900000120180209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** 한화생명보험빌딩서울특별시 서초구 강남대로 ***, 한화생명보험빌딩 **층 (서초동)6628(주)드림어스컴퍼니2022-05-11 14:39:22U2021-12-04 23:03:00.0<NA>202605.525331443189.699751<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFF324104201800000120151125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 공평동 *-*번지서울특별시 종로구 우정국로 **, 타워에이 **층 (공평동)3161넷플릭스서비시스코리아(유)2019-07-01 11:18:55U2019-07-03 02:40:00.0<NA>198481.412658452177.123807온라인음악서비스제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63180000CDFF324104202200000120171109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 ** 서울 국제금융 센터서울특별시 영등포구 국제금융로 **, 서울 국제금융 센터 **층 (여의도동)7326(주)와이지플러스2022-05-17 17:37:31I2021-12-04 23:09:00.0<NA>193326.931019446973.91457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF324104202200000220220829<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** 세명빌딩서울특별시 강남구 역삼로 ***, 세명빌딩 *층 (역삼동)6227주식회사 빅스톤스튜디오2022-08-29 10:05:50I2021-12-07 21:01:00.0<NA>203641.076839443854.896864<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF324104202200000320221011<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-**서울특별시 강남구 선릉로**길 **, *층, *층 (삼성동)6160주식회사 팬딩2022-10-11 15:52:30I2021-10-30 23:03:00.0<NA>204496.322722444864.380973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFF32410420240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-*서울특별시 강남구 언주로***길 **-* (논현동)6053데저트블룸픽처스 주식회사2024-01-10 15:10:32I2023-11-30 23:02:00.0<NA>202841.84953446016.682642<NA><NA><NA><NA><NA><NA><NA><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)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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