Overview

Dataset statistics

Number of variables56
Number of observations319
Missing cells9028
Missing cells (%)50.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory151.5 KiB
Average record size in memory486.4 B

Variable types

Categorical16
Text6
DateTime4
Unsupported22
Numeric8

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17390/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (58.4%)Imbalance
영업상태명 is highly imbalanced (58.4%)Imbalance
상세영업상태코드 is highly imbalanced (58.4%)Imbalance
상세영업상태명 is highly imbalanced (58.4%)Imbalance
문화사업자구분명 is highly imbalanced (70.0%)Imbalance
주변환경명 is highly imbalanced (74.8%)Imbalance
건물용도명 is highly imbalanced (75.0%)Imbalance
통로너비 is highly imbalanced (67.4%)Imbalance
조명시설조도 is highly imbalanced (67.4%)Imbalance
노래방실수 is highly imbalanced (67.4%)Imbalance
청소년실수 is highly imbalanced (67.4%)Imbalance
총게임기수 is highly imbalanced (67.4%)Imbalance
지역구분명 is highly imbalanced (73.3%)Imbalance
인허가취소일자 has 319 (100.0%) missing valuesMissing
폐업일자 has 265 (83.1%) missing valuesMissing
휴업시작일자 has 319 (100.0%) missing valuesMissing
휴업종료일자 has 319 (100.0%) missing valuesMissing
재개업일자 has 319 (100.0%) missing valuesMissing
전화번호 has 214 (67.1%) missing valuesMissing
소재지면적 has 319 (100.0%) missing valuesMissing
소재지우편번호 has 301 (94.4%) missing valuesMissing
도로명우편번호 has 43 (13.5%) missing valuesMissing
업태구분명 has 319 (100.0%) missing valuesMissing
좌표정보(X) has 38 (11.9%) missing valuesMissing
좌표정보(Y) has 38 (11.9%) missing valuesMissing
총층수 has 280 (87.8%) missing valuesMissing
제작취급품목내용 has 132 (41.4%) missing valuesMissing
시설면적 has 154 (48.3%) missing valuesMissing
지상층수 has 265 (83.1%) missing valuesMissing
지하층수 has 279 (87.5%) missing valuesMissing
비상계단여부 has 319 (100.0%) missing valuesMissing
비상구여부 has 319 (100.0%) missing valuesMissing
자동환기여부 has 319 (100.0%) missing valuesMissing
청소년실여부 has 319 (100.0%) missing valuesMissing
특수조명여부 has 319 (100.0%) missing valuesMissing
방음시설여부 has 319 (100.0%) missing valuesMissing
비디오재생기명 has 319 (100.0%) missing valuesMissing
조명시설유무 has 319 (100.0%) missing valuesMissing
음향시설여부 has 319 (100.0%) missing valuesMissing
편의시설여부 has 319 (100.0%) missing valuesMissing
소방시설여부 has 319 (100.0%) missing valuesMissing
기존게임업외업종명 has 319 (100.0%) missing valuesMissing
제공게임물명 has 319 (100.0%) missing valuesMissing
공연장형태구분명 has 319 (100.0%) missing valuesMissing
품목명 has 319 (100.0%) missing valuesMissing
최초등록시점 has 319 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총층수 has 19 (6.0%) zerosZeros
시설면적 has 4 (1.3%) zerosZeros
지상층수 has 19 (6.0%) zerosZeros
지하층수 has 20 (6.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:46:10.137255
Analysis finished2024-05-11 06:46:11.518339
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3230000
319 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 319
100.0%

Length

2024-05-11T15:46:11.596038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:11.706608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 319
100.0%

관리번호
Text

UNIQUE 

Distinct319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T15:46:11.905867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6380
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071994000001
2nd rowCDFF1241072000000002
3rd rowCDFF1241072001000001
4th rowCDFF1241072002000001
5th rowCDFF1241072003000002
ValueCountFrequency (%)
cdff1241071994000001 1
 
0.3%
cdff1241072022000003 1
 
0.3%
cdff1241072021000032 1
 
0.3%
cdff1241072021000031 1
 
0.3%
cdff1241072021000029 1
 
0.3%
cdff1241072021000028 1
 
0.3%
cdff1241072021000027 1
 
0.3%
cdff1241072021000025 1
 
0.3%
cdff1241072021000024 1
 
0.3%
cdff1241072021000022 1
 
0.3%
Other values (309) 309
96.9%
2024-05-11T15:46:12.271662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2140
33.5%
2 949
14.9%
1 945
14.8%
F 638
 
10.0%
4 388
 
6.1%
7 370
 
5.8%
C 319
 
5.0%
D 319
 
5.0%
3 118
 
1.8%
9 56
 
0.9%
Other values (3) 138
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5104
80.0%
Uppercase Letter 1276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2140
41.9%
2 949
18.6%
1 945
18.5%
4 388
 
7.6%
7 370
 
7.2%
3 118
 
2.3%
9 56
 
1.1%
6 48
 
0.9%
8 47
 
0.9%
5 43
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 638
50.0%
C 319
25.0%
D 319
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5104
80.0%
Latin 1276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2140
41.9%
2 949
18.6%
1 945
18.5%
4 388
 
7.6%
7 370
 
7.2%
3 118
 
2.3%
9 56
 
1.1%
6 48
 
0.9%
8 47
 
0.9%
5 43
 
0.8%
Latin
ValueCountFrequency (%)
F 638
50.0%
C 319
25.0%
D 319
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2140
33.5%
2 949
14.9%
1 945
14.8%
F 638
 
10.0%
4 388
 
6.1%
7 370
 
5.8%
C 319
 
5.0%
D 319
 
5.0%
3 118
 
1.8%
9 56
 
0.9%
Other values (3) 138
 
2.2%

인허가일자
Date

Distinct307
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1994-10-26 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:46:12.462949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:12.682701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
265 
3
35 
5
 
18
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 265
83.1%
3 35
 
11.0%
5 18
 
5.6%
4 1
 
0.3%

Length

2024-05-11T15:46:12.890435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:13.021777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 265
83.1%
3 35
 
11.0%
5 18
 
5.6%
4 1
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
265 
폐업
35 
제외/삭제/전출
 
18
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8683386
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 265
83.1%
폐업 35
 
11.0%
제외/삭제/전출 18
 
5.6%
취소/말소/만료/정지/중지 1
 
0.3%

Length

2024-05-11T15:46:13.172961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:13.308821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 265
83.1%
폐업 35
 
11.0%
제외/삭제/전출 18
 
5.6%
취소/말소/만료/정지/중지 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
13
265 
3
35 
15
 
18
35
 
1

Length

Max length2
Median length2
Mean length1.8902821
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 265
83.1%
3 35
 
11.0%
15 18
 
5.6%
35 1
 
0.3%

Length

2024-05-11T15:46:13.446905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:13.567895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 265
83.1%
3 35
 
11.0%
15 18
 
5.6%
35 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업중
265 
폐업
35 
전출
 
18
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8369906
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 265
83.1%
폐업 35
 
11.0%
전출 18
 
5.6%
직권말소 1
 
0.3%

Length

2024-05-11T15:46:13.731577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:13.882370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 265
83.1%
폐업 35
 
11.0%
전출 18
 
5.6%
직권말소 1
 
0.3%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)94.4%
Missing265
Missing (%)83.1%
Memory size2.6 KiB
Minimum2008-03-10 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T15:46:14.037975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:14.213525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct103
Distinct (%)98.1%
Missing214
Missing (%)67.1%
Memory size2.6 KiB
2024-05-11T15:46:14.523255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.085714
Min length8

Characters and Unicode

Total characters1164
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)96.2%

Sample

1st row1577-1419
2nd row02-6488-3037
3rd row404-8636
4th row2276-1925
5th row02-416-5446
ValueCountFrequency (%)
02-6269-0102 2
 
1.9%
02-543-1070 2
 
1.9%
02-2157-0614 1
 
1.0%
1811-1836 1
 
1.0%
02-6000-6710 1
 
1.0%
02-502-5953 1
 
1.0%
02-402-2589 1
 
1.0%
0234472201 1
 
1.0%
02-6959-4080 1
 
1.0%
0215665506 1
 
1.0%
Other values (93) 93
88.6%
2024-05-11T15:46:15.113295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 215
18.5%
- 180
15.5%
2 174
14.9%
5 95
8.2%
1 93
8.0%
4 92
7.9%
7 76
 
6.5%
6 73
 
6.3%
3 73
 
6.3%
9 51
 
4.4%
Other values (2) 42
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 983
84.5%
Dash Punctuation 180
 
15.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 215
21.9%
2 174
17.7%
5 95
9.7%
1 93
9.5%
4 92
9.4%
7 76
 
7.7%
6 73
 
7.4%
3 73
 
7.4%
9 51
 
5.2%
8 41
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 215
18.5%
- 180
15.5%
2 174
14.9%
5 95
8.2%
1 93
8.0%
4 92
7.9%
7 76
 
6.5%
6 73
 
6.3%
3 73
 
6.3%
9 51
 
4.4%
Other values (2) 42
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 215
18.5%
- 180
15.5%
2 174
14.9%
5 95
8.2%
1 93
8.0%
4 92
7.9%
7 76
 
6.5%
6 73
 
6.3%
3 73
 
6.3%
9 51
 
4.4%
Other values (2) 42
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing301
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean138766.11
Minimum138200
Maximum138862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:15.285918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138200
5-th percentile138234
Q1138807.5
median138833.5
Q3138851.25
95-th percentile138856.05
Maximum138862
Range662
Interquartile range (IQR)43.75

Descriptive statistics

Standard deviation199.83284
Coefficient of variation (CV)0.0014400695
Kurtosis5.8412156
Mean138766.11
Median Absolute Deviation (MAD)19.5
Skewness-2.6588538
Sum2497790
Variance39933.163
MonotonicityNot monotonic
2024-05-11T15:46:15.451880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
138837 2
 
0.6%
138855 2
 
0.6%
138824 2
 
0.6%
138200 1
 
0.3%
138801 1
 
0.3%
138862 1
 
0.3%
138852 1
 
0.3%
138791 1
 
0.3%
138854 1
 
0.3%
138802 1
 
0.3%
Other values (5) 5
 
1.6%
(Missing) 301
94.4%
ValueCountFrequency (%)
138200 1
0.3%
138240 1
0.3%
138791 1
0.3%
138801 1
0.3%
138802 1
0.3%
138824 2
0.6%
138829 1
0.3%
138830 1
0.3%
138837 2
0.6%
138848 1
0.3%
ValueCountFrequency (%)
138862 1
0.3%
138855 2
0.6%
138854 1
0.3%
138852 1
0.3%
138849 1
0.3%
138848 1
0.3%
138837 2
0.6%
138830 1
0.3%
138829 1
0.3%
138824 2
0.6%

지번주소
Text

Distinct245
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T15:46:15.739833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.0721
Min length16

Characters and Unicode

Total characters7998
Distinct characters218
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

Unique199 ?
Unique (%)62.4%

Sample

1st row서울특별시 송파구 신천동 **-*번지
2nd row서울특별시 송파구 가락동 **-*번지
3rd row서울특별시 송파구 가락동 ** 베니스타워*층
4th row서울특별시 송파구 문정동 ***-*번지 ****호
5th row서울특별시 송파구 풍납동 ***-*
ValueCountFrequency (%)
서울특별시 319
20.5%
송파구 318
20.4%
191
12.3%
번지 125
 
8.0%
문정동 117
 
7.5%
방이동 39
 
2.5%
호 36
 
2.3%
가락동 33
 
2.1%
잠실동 30
 
1.9%
송파동 26
 
1.7%
Other values (153) 325
20.8%
2024-05-11T15:46:16.225644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1400
17.5%
* 1278
16.0%
파 415
 
5.2%
송 370
 
4.6%
동 341
 
4.3%
시 329
 
4.1%
울 321
 
4.0%
구 320
 
4.0%
서 320
 
4.0%
별 319
 
4.0%
Other values (208) 2585
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5055
63.2%
Space Separator 1400
 
17.5%
Other Punctuation 1280
 
16.0%
Dash Punctuation 219
 
2.7%
Uppercase Letter 35
 
0.4%
Decimal Number 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 415
 
8.2%
송 370
 
7.3%
동 341
 
6.7%
시 329
 
6.5%
울 321
 
6.4%
구 320
 
6.3%
서 320
 
6.3%
별 319
 
6.3%
특 319
 
6.3%
지 157
 
3.1%
Other values (182) 1844
36.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
22.9%
S 4
11.4%
K 4
11.4%
V 3
 
8.6%
A 3
 
8.6%
Y 2
 
5.7%
F 2
 
5.7%
C 2
 
5.7%
T 1
 
2.9%
D 1
 
2.9%
Other values (5) 5
14.3%
Decimal Number
ValueCountFrequency (%)
9 2
22.2%
2 2
22.2%
8 1
11.1%
1 1
11.1%
6 1
11.1%
4 1
11.1%
3 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 1278
99.8%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
1400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5055
63.2%
Common 2908
36.4%
Latin 35
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 415
 
8.2%
송 370
 
7.3%
동 341
 
6.7%
시 329
 
6.5%
울 321
 
6.4%
구 320
 
6.3%
서 320
 
6.3%
별 319
 
6.3%
특 319
 
6.3%
지 157
 
3.1%
Other values (182) 1844
36.5%
Latin
ValueCountFrequency (%)
B 8
22.9%
S 4
11.4%
K 4
11.4%
V 3
 
8.6%
A 3
 
8.6%
Y 2
 
5.7%
F 2
 
5.7%
C 2
 
5.7%
T 1
 
2.9%
D 1
 
2.9%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
1400
48.1%
* 1278
43.9%
- 219
 
7.5%
. 2
 
0.1%
9 2
 
0.1%
2 2
 
0.1%
8 1
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5055
63.2%
ASCII 2943
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1400
47.6%
* 1278
43.4%
- 219
 
7.4%
B 8
 
0.3%
S 4
 
0.1%
K 4
 
0.1%
V 3
 
0.1%
A 3
 
0.1%
Y 2
 
0.1%
. 2
 
0.1%
Other values (16) 20
 
0.7%
Hangul
ValueCountFrequency (%)
파 415
 
8.2%
송 370
 
7.3%
동 341
 
6.7%
시 329
 
6.5%
울 321
 
6.4%
구 320
 
6.3%
서 320
 
6.3%
별 319
 
6.3%
특 319
 
6.3%
지 157
 
3.1%
Other values (182) 1844
36.5%

도로명주소
Text

Distinct302
Distinct (%)95.0%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-05-11T15:46:16.519907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length37.374214
Min length22

Characters and Unicode

Total characters11885
Distinct characters249
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)90.3%

Sample

1st row서울특별시 송파구 오금로 ** (신천동)
2nd row서울특별시 송파구 송파대로**길 **-** (가락동)
3rd row서울특별시 송파구 중대로**길 ** (가락동,베니스타워*층)
4th row서울특별시 송파구 법원로 ***, ****호 (문정동, 문정대명벨리온)
5th row서울특별시 송파구 올림픽로**길 ** (풍납동)
ValueCountFrequency (%)
서울특별시 318
14.1%
318
14.1%
송파구 317
14.1%
호 183
 
8.1%
문정동 114
 
5.1%
층 101
 
4.5%
방이동 33
 
1.5%
가락동 31
 
1.4%
백제고분로**길 29
 
1.3%
동 27
 
1.2%
Other values (275) 778
34.6%
2024-05-11T15:46:17.054538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2020
17.0%
1964
16.5%
파 468
 
3.9%
송 427
 
3.6%
동 420
 
3.5%
, 382
 
3.2%
시 330
 
2.8%
로 328
 
2.8%
울 320
 
2.7%
서 320
 
2.7%
Other values (239) 4906
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6668
56.1%
Other Punctuation 2404
 
20.2%
Space Separator 1964
 
16.5%
Open Punctuation 318
 
2.7%
Close Punctuation 318
 
2.7%
Uppercase Letter 113
 
1.0%
Dash Punctuation 74
 
0.6%
Decimal Number 24
 
0.2%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 468
 
7.0%
송 427
 
6.4%
동 420
 
6.3%
시 330
 
4.9%
로 328
 
4.9%
울 320
 
4.8%
서 320
 
4.8%
구 319
 
4.8%
별 318
 
4.8%
특 318
 
4.8%
Other values (204) 3100
46.5%
Uppercase Letter
ValueCountFrequency (%)
B 38
33.6%
C 18
15.9%
A 17
15.0%
S 7
 
6.2%
K 5
 
4.4%
T 5
 
4.4%
V 4
 
3.5%
L 3
 
2.7%
G 3
 
2.7%
F 3
 
2.7%
Other values (8) 10
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 7
29.2%
0 5
20.8%
3 3
12.5%
2 2
 
8.3%
6 2
 
8.3%
4 2
 
8.3%
8 2
 
8.3%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 2020
84.0%
, 382
 
15.9%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1964
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6668
56.1%
Common 5103
42.9%
Latin 114
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 468
 
7.0%
송 427
 
6.4%
동 420
 
6.3%
시 330
 
4.9%
로 328
 
4.9%
울 320
 
4.8%
서 320
 
4.8%
구 319
 
4.8%
별 318
 
4.8%
특 318
 
4.8%
Other values (204) 3100
46.5%
Latin
ValueCountFrequency (%)
B 38
33.3%
C 18
15.8%
A 17
14.9%
S 7
 
6.1%
K 5
 
4.4%
T 5
 
4.4%
V 4
 
3.5%
L 3
 
2.6%
G 3
 
2.6%
F 3
 
2.6%
Other values (9) 11
 
9.6%
Common
ValueCountFrequency (%)
* 2020
39.6%
1964
38.5%
, 382
 
7.5%
( 318
 
6.2%
) 318
 
6.2%
- 74
 
1.5%
1 7
 
0.1%
0 5
 
0.1%
3 3
 
0.1%
2 2
 
< 0.1%
Other values (6) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6668
56.1%
ASCII 5217
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2020
38.7%
1964
37.6%
, 382
 
7.3%
( 318
 
6.1%
) 318
 
6.1%
- 74
 
1.4%
B 38
 
0.7%
C 18
 
0.3%
A 17
 
0.3%
S 7
 
0.1%
Other values (25) 61
 
1.2%
Hangul
ValueCountFrequency (%)
파 468
 
7.0%
송 427
 
6.4%
동 420
 
6.3%
시 330
 
4.9%
로 328
 
4.9%
울 320
 
4.8%
서 320
 
4.8%
구 319
 
4.8%
별 318
 
4.8%
특 318
 
4.8%
Other values (204) 3100
46.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)43.1%
Missing43
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean7645.2971
Minimum5502
Maximum138861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:17.277716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5502
5-th percentile5510
Q15617.75
median5719.5
Q35838
95-th percentile5855
Maximum138861
Range133359
Interquartile range (IQR)220.25

Descriptive statistics

Standard deviation15920.701
Coefficient of variation (CV)2.0824176
Kurtosis65.205409
Mean7645.2971
Median Absolute Deviation (MAD)116.5
Skewness8.1687615
Sum2110102
Variance2.5346874 × 108
MonotonicityNot monotonic
2024-05-11T15:46:17.577489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5854 25
 
7.8%
5836 21
 
6.6%
5855 16
 
5.0%
5838 11
 
3.4%
5510 10
 
3.1%
5839 6
 
1.9%
5807 6
 
1.9%
5835 6
 
1.9%
5840 5
 
1.6%
5545 5
 
1.6%
Other values (109) 165
51.7%
(Missing) 43
 
13.5%
ValueCountFrequency (%)
5502 3
 
0.9%
5503 2
 
0.6%
5507 1
 
0.3%
5510 10
3.1%
5522 1
 
0.3%
5531 1
 
0.3%
5542 1
 
0.3%
5544 3
 
0.9%
5545 5
1.6%
5548 4
 
1.3%
ValueCountFrequency (%)
138861 1
 
0.3%
138850 1
 
0.3%
138844 1
 
0.3%
138200 1
 
0.3%
5855 16
5.0%
5854 25
7.8%
5849 1
 
0.3%
5841 2
 
0.6%
5840 5
 
1.6%
5839 6
 
1.9%

사업장명
Text

Distinct315
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T15:46:17.952748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length8.5047022
Min length2

Characters and Unicode

Total characters2713
Distinct characters370
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)97.5%

Sample

1st row수산업협동조합중앙회
2nd row이앤에스미디어(주)
3rd row(주)에프씨엔터테인먼트
4th row(주)유니온커뮤니티
5th row서울아산병원
ValueCountFrequency (%)
주식회사 77
 
17.7%
스튜디오 5
 
1.1%
주 4
 
0.9%
리앤미디어 2
 
0.5%
샤이닝랩 2
 
0.5%
헉미디어 2
 
0.5%
에듀픽 2
 
0.5%
media 2
 
0.5%
주)케이브이에스컴퍼니 2
 
0.5%
주)영진크리에이티브 2
 
0.5%
Other values (336) 336
77.1%
2024-05-11T15:46:18.544112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 210
 
7.7%
) 139
 
5.1%
( 139
 
5.1%
118
 
4.3%
이 109
 
4.0%
스 106
 
3.9%
사 83
 
3.1%
디 82
 
3.0%
회 79
 
2.9%
식 77
 
2.8%
Other values (360) 1571
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2176
80.2%
Close Punctuation 139
 
5.1%
Open Punctuation 139
 
5.1%
Space Separator 118
 
4.3%
Uppercase Letter 72
 
2.7%
Lowercase Letter 48
 
1.8%
Decimal Number 11
 
0.4%
Dash Punctuation 6
 
0.2%
Other Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 210
 
9.7%
이 109
 
5.0%
스 106
 
4.9%
사 83
 
3.8%
디 82
 
3.8%
회 79
 
3.6%
식 77
 
3.5%
미 47
 
2.2%
어 47
 
2.2%
트 38
 
1.7%
Other values (310) 1298
59.7%
Uppercase Letter
ValueCountFrequency (%)
A 7
 
9.7%
O 7
 
9.7%
E 7
 
9.7%
T 6
 
8.3%
S 6
 
8.3%
D 5
 
6.9%
V 4
 
5.6%
I 4
 
5.6%
R 4
 
5.6%
M 4
 
5.6%
Other values (13) 18
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.6%
r 7
14.6%
a 4
8.3%
i 4
8.3%
o 4
8.3%
s 3
 
6.2%
m 3
 
6.2%
t 3
 
6.2%
d 2
 
4.2%
n 2
 
4.2%
Other values (8) 9
18.8%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
5 3
27.3%
2 3
27.3%
3 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2180
80.4%
Common 413
 
15.2%
Latin 120
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 210
 
9.6%
이 109
 
5.0%
스 106
 
4.9%
사 83
 
3.8%
디 82
 
3.8%
회 79
 
3.6%
식 77
 
3.5%
미 47
 
2.2%
어 47
 
2.2%
트 38
 
1.7%
Other values (311) 1302
59.7%
Latin
ValueCountFrequency (%)
A 7
 
5.8%
O 7
 
5.8%
E 7
 
5.8%
e 7
 
5.8%
r 7
 
5.8%
T 6
 
5.0%
S 6
 
5.0%
D 5
 
4.2%
a 4
 
3.3%
i 4
 
3.3%
Other values (31) 60
50.0%
Common
ValueCountFrequency (%)
) 139
33.7%
( 139
33.7%
118
28.6%
- 6
 
1.5%
0 4
 
1.0%
5 3
 
0.7%
2 3
 
0.7%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2176
80.2%
ASCII 533
 
19.6%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 210
 
9.7%
이 109
 
5.0%
스 106
 
4.9%
사 83
 
3.8%
디 82
 
3.8%
회 79
 
3.6%
식 77
 
3.5%
미 47
 
2.2%
어 47
 
2.2%
트 38
 
1.7%
Other values (310) 1298
59.7%
ASCII
ValueCountFrequency (%)
) 139
26.1%
( 139
26.1%
118
22.1%
A 7
 
1.3%
O 7
 
1.3%
E 7
 
1.3%
e 7
 
1.3%
r 7
 
1.3%
- 6
 
1.1%
T 6
 
1.1%
Other values (39) 90
16.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

UNIQUE 

Distinct319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2006-02-06 13:52:50
Maximum2024-04-29 17:42:46
2024-05-11T15:46:18.704362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:18.854370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
225 
U
94 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 225
70.5%
U 94
29.5%

Length

2024-05-11T15:46:19.007175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:19.143489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 225
70.5%
u 94
29.5%

데이터갱신일자
Date

Distinct204
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T15:46:19.304661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:46:19.492345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct216
Distinct (%)76.9%
Missing38
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean209962.74
Minimum201964.73
Maximum213977.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:19.725663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201964.73
5-th percentile207141.25
Q1209243.17
median210347.07
Q3210857.13
95-th percentile211768.59
Maximum213977.36
Range12012.628
Interquartile range (IQR)1613.9583

Descriptive statistics

Standard deviation1459.9369
Coefficient of variation (CV)0.0069533144
Kurtosis2.9008841
Mean209962.74
Median Absolute Deviation (MAD)718.17325
Skewness-0.83387174
Sum58999529
Variance2131415.8
MonotonicityNot monotonic
2024-05-11T15:46:20.279804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 9
 
2.8%
210627.0 8
 
2.5%
210780.126180232 6
 
1.9%
210480.282018702 5
 
1.6%
210749.0 4
 
1.3%
210555.396352726 3
 
0.9%
210868.397496689 3
 
0.9%
207750.499013776 3
 
0.9%
208738.593846343 3
 
0.9%
211053.119518 3
 
0.9%
Other values (206) 234
73.4%
(Missing) 38
 
11.9%
ValueCountFrequency (%)
201964.727903398 1
0.3%
206856.921981629 1
0.3%
206908.348523164 1
0.3%
206914.005245094 2
0.6%
206916.75835 1
0.3%
206967.655618396 1
0.3%
206973.101763383 1
0.3%
207006.622245216 1
0.3%
207008.325963842 1
0.3%
207012.516063541 1
0.3%
ValueCountFrequency (%)
213977.355937651 2
0.6%
213926.029560738 1
0.3%
213138.435425528 1
0.3%
213022.782000678 1
0.3%
212958.155 1
0.3%
212875.447414497 1
0.3%
212641.295329373 1
0.3%
212505.114427183 1
0.3%
212428.230908858 1
0.3%
211882.929782233 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct216
Distinct (%)76.9%
Missing38
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean444224.18
Minimum441725.29
Maximum448124.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:20.467867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441730.92
Q1442875
median444574.43
Q3445245.93
95-th percentile446002.99
Maximum448124.22
Range6398.9294
Interquartile range (IQR)2370.9263

Descriptive statistics

Standard deviation1389.1696
Coefficient of variation (CV)0.0031271813
Kurtosis-0.86266322
Mean444224.18
Median Absolute Deviation (MAD)986.84927
Skewness-0.3033453
Sum1.2482699 × 108
Variance1929792.1
MonotonicityNot monotonic
2024-05-11T15:46:20.638419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 9
 
2.8%
442875.0 8
 
2.5%
441730.920486073 6
 
1.9%
441833.16323518 5
 
1.6%
442560.0 4
 
1.3%
443941.695904851 3
 
0.9%
442053.227933005 3
 
0.9%
445762.808120998 3
 
0.9%
445977.157638051 3
 
0.9%
442026.988783 3
 
0.9%
Other values (206) 234
73.4%
(Missing) 38
 
11.9%
ValueCountFrequency (%)
441725.293491662 9
2.8%
441730.920486073 6
1.9%
441833.16323518 5
1.6%
441934.252100339 1
 
0.3%
442015.248653847 1
 
0.3%
442026.988783 3
 
0.9%
442030.824891286 1
 
0.3%
442038.143247 1
 
0.3%
442053.227933005 3
 
0.9%
442070.575741668 2
 
0.6%
ValueCountFrequency (%)
448124.222864375 1
0.3%
447528.63482061 1
0.3%
447120.577229325 1
0.3%
446601.107402462 1
0.3%
446242.882854031 1
0.3%
446087.944327019 2
0.6%
446085.121305444 1
0.3%
446061.439207259 2
0.6%
446042.592367722 1
0.3%
446039.346355569 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
비디오물제작업
191 
<NA>
128 

Length

Max length7
Median length7
Mean length5.7962382
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 191
59.9%
<NA> 128
40.1%

Length

2024-05-11T15:46:20.822139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:20.971273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 191
59.9%
na 128
40.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
유통관련업
 
17

Length

Max length5
Median length4
Mean length4.0532915
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 302
94.7%
유통관련업 17
 
5.3%

Length

2024-05-11T15:46:21.129958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:21.281357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
94.7%
유통관련업 17
 
5.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)30.8%
Missing280
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean5.1282051
Minimum0
Maximum34
Zeros19
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:21.414871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile22
Maximum34
Range34
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.1537188
Coefficient of variation (CV)1.5899752
Kurtosis3.4526164
Mean5.1282051
Median Absolute Deviation (MAD)1
Skewness1.9443039
Sum200
Variance66.483131
MonotonicityNot monotonic
2024-05-11T15:46:21.590057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 19
 
6.0%
5 4
 
1.3%
4 4
 
1.3%
1 2
 
0.6%
22 2
 
0.6%
19 2
 
0.6%
6 1
 
0.3%
10 1
 
0.3%
16 1
 
0.3%
12 1
 
0.3%
Other values (2) 2
 
0.6%
(Missing) 280
87.8%
ValueCountFrequency (%)
0 19
6.0%
1 2
 
0.6%
2 1
 
0.3%
4 4
 
1.3%
5 4
 
1.3%
6 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
16 1
 
0.3%
19 2
 
0.6%
ValueCountFrequency (%)
34 1
 
0.3%
22 2
0.6%
19 2
0.6%
16 1
 
0.3%
12 1
 
0.3%
10 1
 
0.3%
6 1
 
0.3%
5 4
1.3%
4 4
1.3%
2 1
 
0.3%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
288 
기타
 
13
주택가주변
 
8
유흥업소밀집지역
 
6
아파트지역
 
3

Length

Max length8
Median length4
Mean length4.0407524
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 288
90.3%
기타 13
 
4.1%
주택가주변 8
 
2.5%
유흥업소밀집지역 6
 
1.9%
아파트지역 3
 
0.9%
학교정화(상대) 1
 
0.3%

Length

2024-05-11T15:46:21.812092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:22.042100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
90.3%
기타 13
 
4.1%
주택가주변 8
 
2.5%
유흥업소밀집지역 6
 
1.9%
아파트지역 3
 
0.9%
학교정화(상대 1
 
0.3%

제작취급품목내용
Text

MISSING 

Distinct103
Distinct (%)55.1%
Missing132
Missing (%)41.4%
Memory size2.6 KiB
2024-05-11T15:46:22.422730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length8.026738
Min length2

Characters and Unicode

Total characters1501
Distinct characters148
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

Unique87 ?
Unique (%)46.5%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 67
20.2%
영상 24
 
7.3%
제작 18
 
5.4%
및 14
 
4.2%
홍보영상 12
 
3.6%
영상물 8
 
2.4%
홍보 7
 
2.1%
광고 7
 
2.1%
비디오물제작 6
 
1.8%
동영상 6
 
1.8%
Other values (108) 162
48.9%
2024-05-11T15:46:23.012293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
9.6%
물 115
 
7.7%
영 112
 
7.5%
상 106
 
7.1%
디 99
 
6.6%
비 96
 
6.4%
오 96
 
6.4%
, 60
 
4.0%
제 51
 
3.4%
작 50
 
3.3%
Other values (138) 572
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1208
80.5%
Space Separator 144
 
9.6%
Other Punctuation 64
 
4.3%
Uppercase Letter 51
 
3.4%
Lowercase Letter 13
 
0.9%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Decimal Number 6
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 115
 
9.5%
영 112
 
9.3%
상 106
 
8.8%
디 99
 
8.2%
비 96
 
7.9%
오 96
 
7.9%
제 51
 
4.2%
작 50
 
4.1%
보 44
 
3.6%
홍 43
 
3.6%
Other values (108) 396
32.8%
Uppercase Letter
ValueCountFrequency (%)
D 18
35.3%
V 11
21.6%
C 6
 
11.8%
R 5
 
9.8%
T 2
 
3.9%
S 2
 
3.9%
P 2
 
3.9%
F 2
 
3.9%
U 1
 
2.0%
B 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
t 3
23.1%
i 2
15.4%
n 2
15.4%
o 1
 
7.7%
e 1
 
7.7%
s 1
 
7.7%
l 1
 
7.7%
a 1
 
7.7%
g 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 60
93.8%
/ 3
 
4.7%
. 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
3 4
66.7%
4 1
 
16.7%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1208
80.5%
Common 229
 
15.3%
Latin 64
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 115
 
9.5%
영 112
 
9.3%
상 106
 
8.8%
디 99
 
8.2%
비 96
 
7.9%
오 96
 
7.9%
제 51
 
4.2%
작 50
 
4.1%
보 44
 
3.6%
홍 43
 
3.6%
Other values (108) 396
32.8%
Latin
ValueCountFrequency (%)
D 18
28.1%
V 11
17.2%
C 6
 
9.4%
R 5
 
7.8%
t 3
 
4.7%
T 2
 
3.1%
S 2
 
3.1%
i 2
 
3.1%
P 2
 
3.1%
n 2
 
3.1%
Other values (10) 11
17.2%
Common
ValueCountFrequency (%)
144
62.9%
, 60
26.2%
( 7
 
3.1%
) 7
 
3.1%
3 4
 
1.7%
/ 3
 
1.3%
- 1
 
0.4%
. 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1208
80.5%
ASCII 293
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
49.1%
, 60
20.5%
D 18
 
6.1%
V 11
 
3.8%
( 7
 
2.4%
) 7
 
2.4%
C 6
 
2.0%
R 5
 
1.7%
3 4
 
1.4%
/ 3
 
1.0%
Other values (20) 28
 
9.6%
Hangul
ValueCountFrequency (%)
물 115
 
9.5%
영 112
 
9.3%
상 106
 
8.8%
디 99
 
8.2%
비 96
 
7.9%
오 96
 
7.9%
제 51
 
4.2%
작 50
 
4.1%
보 44
 
3.6%
홍 43
 
3.6%
Other values (108) 396
32.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct145
Distinct (%)87.9%
Missing154
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean130.56624
Minimum0
Maximum2162.42
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:23.213404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.64
Q131.04
median79.76
Q3130.95
95-th percentile303.232
Maximum2162.42
Range2162.42
Interquartile range (IQR)99.91

Descriptive statistics

Standard deviation248.66562
Coefficient of variation (CV)1.9045169
Kurtosis37.508051
Mean130.56624
Median Absolute Deviation (MAD)48.76
Skewness5.6891047
Sum21543.43
Variance61834.591
MonotonicityNot monotonic
2024-05-11T15:46:23.435660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
1.3%
0.0 4
 
1.3%
33.0 2
 
0.6%
46.35 2
 
0.6%
39.6 2
 
0.6%
97.2 2
 
0.6%
165.0 2
 
0.6%
24.9 2
 
0.6%
29.16 2
 
0.6%
148.0 2
 
0.6%
Other values (135) 141
44.2%
(Missing) 154
48.3%
ValueCountFrequency (%)
0.0 4
1.3%
1.0 4
1.3%
4.3 1
 
0.3%
6.0 1
 
0.3%
6.6 1
 
0.3%
9.92 1
 
0.3%
10.0 1
 
0.3%
16.5 1
 
0.3%
17.25 1
 
0.3%
19.4 1
 
0.3%
ValueCountFrequency (%)
2162.42 1
0.3%
1613.23 1
0.3%
1313.19 1
0.3%
975.21 1
0.3%
684.3 1
0.3%
645.3 1
0.3%
338.8 1
0.3%
329.74 1
0.3%
306.24 1
0.3%
291.2 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)29.6%
Missing265
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean5.2777778
Minimum0
Maximum29
Zeros19
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:23.615288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38
95-th percentile16.35
Maximum29
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.7444363
Coefficient of variation (CV)1.2778932
Kurtosis2.901487
Mean5.2777778
Median Absolute Deviation (MAD)3
Skewness1.7081152
Sum285
Variance45.487421
MonotonicityNot monotonic
2024-05-11T15:46:23.776616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 19
 
6.0%
3 5
 
1.6%
2 5
 
1.6%
4 4
 
1.3%
16 3
 
0.9%
10 3
 
0.9%
8 2
 
0.6%
9 2
 
0.6%
6 2
 
0.6%
15 2
 
0.6%
Other values (6) 7
 
2.2%
(Missing) 265
83.1%
ValueCountFrequency (%)
0 19
6.0%
1 1
 
0.3%
2 5
 
1.6%
3 5
 
1.6%
4 4
 
1.3%
5 2
 
0.6%
6 2
 
0.6%
7 1
 
0.3%
8 2
 
0.6%
9 2
 
0.6%
ValueCountFrequency (%)
29 1
 
0.3%
26 1
 
0.3%
17 1
 
0.3%
16 3
0.9%
15 2
0.6%
10 3
0.9%
9 2
0.6%
8 2
0.6%
7 1
 
0.3%
6 2
0.6%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)15.0%
Missing279
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.075
Minimum0
Maximum6
Zeros20
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T15:46:23.915151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6233473
Coefficient of variation (CV)1.5100905
Kurtosis2.1964949
Mean1.075
Median Absolute Deviation (MAD)0.5
Skewness1.7656977
Sum43
Variance2.6352564
MonotonicityNot monotonic
2024-05-11T15:46:24.066431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
 
6.3%
1 13
 
4.1%
5 2
 
0.6%
4 2
 
0.6%
3 2
 
0.6%
6 1
 
0.3%
(Missing) 279
87.5%
ValueCountFrequency (%)
0 20
6.3%
1 13
4.1%
3 2
 
0.6%
4 2
 
0.6%
5 2
 
0.6%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 2
 
0.6%
4 2
 
0.6%
3 2
 
0.6%
1 13
4.1%
0 20
6.3%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
281 
근린생활시설
 
17
사무실
 
10
기타
 
4
다가구용 주택(공동주택적용)
 
2
Other values (4)
 
5

Length

Max length15
Median length4
Mean length4.1347962
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 281
88.1%
근린생활시설 17
 
5.3%
사무실 10
 
3.1%
기타 4
 
1.3%
다가구용 주택(공동주택적용) 2
 
0.6%
식품위생시설 2
 
0.6%
환경위생시설 1
 
0.3%
아파트 1
 
0.3%
연립주택 1
 
0.3%

Length

2024-05-11T15:46:24.265149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:24.495739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 281
87.5%
근린생활시설 17
 
5.3%
사무실 10
 
3.1%
기타 4
 
1.2%
다가구용 2
 
0.6%
주택(공동주택적용 2
 
0.6%
식품위생시설 2
 
0.6%
환경위생시설 1
 
0.3%
아파트 1
 
0.3%
연립주택 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
300 
0
 
19

Length

Max length4
Median length4
Mean length3.8213166
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> 300
94.0%
0 19
 
6.0%

Length

2024-05-11T15:46:24.677023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:24.808814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
94.0%
0 19
 
6.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
300 
0
 
19

Length

Max length4
Median length4
Mean length3.8213166
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> 300
94.0%
0 19
 
6.0%

Length

2024-05-11T15:46:24.939261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:25.066720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
94.0%
0 19
 
6.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
300 
0
 
19

Length

Max length4
Median length4
Mean length3.8213166
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> 300
94.0%
0 19
 
6.0%

Length

2024-05-11T15:46:25.213013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:25.368555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
94.0%
0 19
 
6.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
300 
0
 
19

Length

Max length4
Median length4
Mean length3.8213166
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> 300
94.0%
0 19
 
6.0%

Length

2024-05-11T15:46:25.513930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:25.646694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
94.0%
0 19
 
6.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
300 
0
 
19

Length

Max length4
Median length4
Mean length3.8213166
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> 300
94.0%
0 19
 
6.0%

Length

2024-05-11T15:46:25.803774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:25.944887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
94.0%
0 19
 
6.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
281 
주거지역
 
12
일반주거지역
 
11
일반상업지역
 
8
상업지역
 
3
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.1410658
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 281
88.1%
주거지역 12
 
3.8%
일반주거지역 11
 
3.4%
일반상업지역 8
 
2.5%
상업지역 3
 
0.9%
근린상업지역 2
 
0.6%
준주거지역 1
 
0.3%
중심상업지역 1
 
0.3%

Length

2024-05-11T15:46:26.098250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:26.258505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 281
88.1%
주거지역 12
 
3.8%
일반주거지역 11
 
3.4%
일반상업지역 8
 
2.5%
상업지역 3
 
0.9%
근린상업지역 2
 
0.6%
준주거지역 1
 
0.3%
중심상업지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF124107199400000119941026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 **-*번지서울특별시 송파구 오금로 ** (신천동)5510수산업협동조합중앙회2011-10-30 13:33:55I2018-08-31 23:59:59.0<NA>209248.202985446007.433804비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFF124107200000000220000226<NA>3폐업3폐업20110830<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-*번지서울특별시 송파구 송파대로**길 **-** (가락동)<NA>이앤에스미디어(주)2011-08-30 16:37:41I2018-08-31 23:59:59.0<NA>210646.158894443852.36053비디오물제작업<NA><NA><NA>비디오물0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF12410720010000012001-03-23<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-1419<NA><NA>서울특별시 송파구 가락동 ** 베니스타워*층서울특별시 송파구 중대로**길 ** (가락동,베니스타워*층)<NA>(주)에프씨엔터테인먼트2023-02-01 14:07:44U2022-12-02 00:03:00.0<NA>211049.029128444447.915076<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF124107200200000120020703<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6488-3037<NA><NA>서울특별시 송파구 문정동 ***-*번지 ****호서울특별시 송파구 법원로 ***, ****호 (문정동, 문정대명벨리온)5836(주)유니온커뮤니티2016-07-07 16:59:10I2018-08-31 23:59:59.0<NA>210454.0442691.0비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFF124107200300000220030113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 ***-*서울특별시 송파구 올림픽로**길 ** (풍납동)<NA>서울아산병원2021-01-12 13:43:26U2021-01-14 02:40:00.0<NA>209607.590372447120.577229비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF124107200300000320030429<NA>3폐업3폐업20100621<NA><NA><NA><NA><NA>138200서울특별시 송파구 문정동 ***-**번지 동원빌딩 *층서울특별시 송파구 송파대로**길 ** (문정동,동원빌딩 *층)<NA>(주)에듀네트윅스2010-06-21 15:51:29I2018-08-31 23:59:59.0<NA>210206.20392443209.625291비디오물제작업<NA>5주택가주변비디오물10.041사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
63230000CDFF124107200300000420030905<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-*번지 우림빌딩 *층서울특별시 강남구 강남대로***길 ** (신사동,우림빌딩 *층)<NA>(주)다트피쉬코리아2009-07-22 12:27:52I2018-08-31 23:59:59.0<NA>201964.727903446242.882854비디오물제작업<NA>5유흥업소밀집지역비디오물100.041사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
73230000CDFF124107200400000120040210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138837서울특별시 송파구 삼전동 *-*번지서울특별시 송파구 삼전로 ** (삼전동)<NA>(주)쿠낙사2006-08-28 17:44:03I2018-08-31 23:59:59.0<NA>207803.03351444770.634495비디오물제작업유통관련업<NA><NA>비디오물제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF124107200400000220040628<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138801서울특별시 송파구 가락동 **번지서울특별시 송파구 중대로 *** (가락동)<NA>(주)온타운2007-10-10 18:22:33I2018-08-31 23:59:59.0<NA>211053.853518444134.571409비디오물제작업유통관련업<NA><NA>비디오제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93230000CDFF124107200500000120050714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138862서울특별시 송파구 잠실동 ***번지 MBC아카데미*층서울특별시 송파구 백제고분로*길 ** (잠실동,MBC아카데미*층)<NA>(주)온비넷커뮤니케이션즈2007-09-13 17:30:20I2018-08-31 23:59:59.0<NA>207022.590546445203.586767비디오물제작업유통관련업<NA><NA><NA><NA><NA><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
3093230000CDFF12410720240000082024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 문정역테라타워서울특별시 송파구 송파대로 ***, 문정역테라타워 a동 ****호 (문정동)5855주식회사 유어비즈2024-02-29 13:32:08I2023-12-03 00:02:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3103230000CDFF12410720240000092024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 *** 송파파크데일*단지서울특별시 송파구 성내천로**길 **, ***동 ****호 (마천동, 송파파크데일*단지)5748코라 (CORA)2024-02-29 14:01:44I2023-12-03 00:02:00.0<NA>213977.355938443742.233005<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3113230000CDFF12410720240000102024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***-*서울특별시 송파구 중대로 ***, *층 (가락동)5828(주)매드아티스트픽쳐스2024-03-12 14:37:18I2023-12-02 23:04:00.0<NA>210898.806666443665.880577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3123230000CDFF12410720240000112024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 **-*서울특별시 송파구 송파대로**길 *-*, ***호 (문정동)5807디에스엘(DSL)2024-03-21 14:43:45I2023-12-02 22:03:00.0<NA>210952.627222442559.407557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3133230000CDFF12410720240000122024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***-*서울특별시 송파구 중대로**길 **, *층 (가락동)5822새솔미디어2024-03-25 16:08:08I2023-12-02 22:07:00.0<NA>211176.609413444022.65228<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3143230000CDFF12410720240000142017-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 ***-**서울특별시 송파구 백제고분로**길 *, *층 (석촌동)5680스튜디오 딥로드2024-04-09 11:36:05U2023-12-03 23:01:00.0<NA>208675.812752444446.053486<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3153230000CDFF12410720240000152014-10-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 문정역테라타워서울특별시 송파구 송파대로 ***, 문정역테라타워 제에이동 제**층 제에이 ****호 (문정동)5855(주)닷즈커뮤니케이션2024-04-09 11:05:58I2023-12-03 23:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3163230000CDFF12410720240000162024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 **-*서울특별시 송파구 동남로*길 **, B*호 (문정동)5804미디어호랭이스튜디오2024-04-16 15:19:52I2023-12-03 23:08:00.0<NA>211070.309247443051.542135<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3173230000CDFF12410720240000172024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정역SKV* GL 메트로시티서울특별시 송파구 법원로 ***, 문정역SKV* GL 메트로시티 A동 **층 ****호 (문정동)5854디자인피넛2024-04-16 15:55:54I2023-12-03 23:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3183230000CDFF12410720240000182024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 **-*서울특별시 송파구 거마로 **, 지하*층 B***호 (마천동)5755주식회사 시선이엔엠2024-04-24 13:06:02I2023-12-03 22:06:00.0<NA>212958.155444089.385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>