Overview

Dataset statistics

Number of variables56
Number of observations380
Missing cells9904
Missing cells (%)46.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory179.7 KiB
Average record size in memory484.3 B

Variable types

Categorical18
Text6
DateTime4
Numeric8
Unsupported20

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16768/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (77.2%)Imbalance
건물용도명 is highly imbalanced (85.6%)Imbalance
제공게임물명 is highly imbalanced (69.0%)Imbalance
지역구분명 is highly imbalanced (69.9%)Imbalance
인허가취소일자 has 371 (97.6%) missing valuesMissing
폐업일자 has 37 (9.7%) missing valuesMissing
휴업시작일자 has 380 (100.0%) missing valuesMissing
휴업종료일자 has 380 (100.0%) missing valuesMissing
재개업일자 has 380 (100.0%) missing valuesMissing
전화번호 has 341 (89.7%) missing valuesMissing
소재지면적 has 380 (100.0%) missing valuesMissing
소재지우편번호 has 263 (69.2%) missing valuesMissing
도로명주소 has 59 (15.5%) missing valuesMissing
도로명우편번호 has 300 (78.9%) missing valuesMissing
업태구분명 has 380 (100.0%) missing valuesMissing
좌표정보(X) has 48 (12.6%) missing valuesMissing
좌표정보(Y) has 48 (12.6%) missing valuesMissing
제작취급품목내용 has 378 (99.5%) missing valuesMissing
시설면적 has 153 (40.3%) missing valuesMissing
지상층수 has 153 (40.3%) missing valuesMissing
비상계단여부 has 380 (100.0%) missing valuesMissing
비상구여부 has 380 (100.0%) missing valuesMissing
자동환기여부 has 380 (100.0%) missing valuesMissing
청소년실여부 has 380 (100.0%) missing valuesMissing
특수조명여부 has 380 (100.0%) missing valuesMissing
방음시설여부 has 380 (100.0%) missing valuesMissing
비디오재생기명 has 380 (100.0%) missing valuesMissing
조명시설유무 has 380 (100.0%) missing valuesMissing
음향시설여부 has 380 (100.0%) missing valuesMissing
편의시설여부 has 380 (100.0%) missing valuesMissing
소방시설여부 has 380 (100.0%) missing valuesMissing
총게임기수 has 153 (40.3%) missing valuesMissing
기존게임업외업종명 has 380 (100.0%) missing valuesMissing
공연장형태구분명 has 380 (100.0%) missing valuesMissing
품목명 has 380 (100.0%) missing valuesMissing
최초등록시점 has 380 (100.0%) missing valuesMissing
관리번호 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
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 71 (18.7%) zerosZeros
지상층수 has 222 (58.4%) zerosZeros
총게임기수 has 191 (50.3%) zerosZeros

Reproduction

Analysis started2024-05-11 07:40:12.671637
Analysis finished2024-05-11 07:40:14.784155
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3010000
380 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 380
100.0%

Length

2024-05-11T07:40:15.045114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:15.422323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 380
100.0%

관리번호
Text

UNIQUE 

Distinct380
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T07:40:16.037706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7600
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

Unique380 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021985000001
2nd rowCDFF2241021987000001
3rd rowCDFF2241021987000002
4th rowCDFF2241021987000003
5th rowCDFF2241021987000004
ValueCountFrequency (%)
cdff2241021985000001 1
 
0.3%
cdff2241022008000029 1
 
0.3%
cdff2241022008000038 1
 
0.3%
cdff2241022008000037 1
 
0.3%
cdff2241022008000036 1
 
0.3%
cdff2241022008000035 1
 
0.3%
cdff2241022008000034 1
 
0.3%
cdff2241022008000033 1
 
0.3%
cdff2241022008000032 1
 
0.3%
cdff2241022008000031 1
 
0.3%
Other values (370) 370
97.4%
2024-05-11T07:40:17.534852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2655
34.9%
2 1544
20.3%
F 760
 
10.0%
1 685
 
9.0%
4 458
 
6.0%
C 380
 
5.0%
D 380
 
5.0%
9 288
 
3.8%
8 137
 
1.8%
3 95
 
1.2%
Other values (3) 218
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6080
80.0%
Uppercase Letter 1520
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2655
43.7%
2 1544
25.4%
1 685
 
11.3%
4 458
 
7.5%
9 288
 
4.7%
8 137
 
2.3%
3 95
 
1.6%
7 91
 
1.5%
6 65
 
1.1%
5 62
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 760
50.0%
C 380
25.0%
D 380
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6080
80.0%
Latin 1520
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2655
43.7%
2 1544
25.4%
1 685
 
11.3%
4 458
 
7.5%
9 288
 
4.7%
8 137
 
2.3%
3 95
 
1.6%
7 91
 
1.5%
6 65
 
1.1%
5 62
 
1.0%
Latin
ValueCountFrequency (%)
F 760
50.0%
C 380
25.0%
D 380
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2655
34.9%
2 1544
20.3%
F 760
 
10.0%
1 685
 
9.0%
4 458
 
6.0%
C 380
 
5.0%
D 380
 
5.0%
9 288
 
3.8%
8 137
 
1.8%
3 95
 
1.2%
Other values (3) 218
 
2.9%

인허가일자
Date

Distinct256
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1985-10-16 00:00:00
Maximum2023-12-19 00:00:00
2024-05-11T07:40:18.161415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:40:18.847922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing371
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean20110686
Minimum20080605
Maximum20191025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:19.357457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080605
5-th percentile20080855
Q120081229
median20100129
Q320110412
95-th percentile20171017
Maximum20191025
Range110420
Interquartile range (IQR)29183

Descriptive statistics

Standard deviation35771.858
Coefficient of variation (CV)0.0017787488
Kurtosis2.7658608
Mean20110686
Median Absolute Deviation (MAD)18900
Skewness1.6351519
Sum1.8099617 × 108
Variance1.2796258 × 109
MonotonicityNot monotonic
2024-05-11T07:40:19.791664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20081229 2
 
0.5%
20100129 2
 
0.5%
20080605 1
 
0.3%
20110412 1
 
0.3%
20141006 1
 
0.3%
20110408 1
 
0.3%
20191025 1
 
0.3%
(Missing) 371
97.6%
ValueCountFrequency (%)
20080605 1
0.3%
20081229 2
0.5%
20100129 2
0.5%
20110408 1
0.3%
20110412 1
0.3%
20141006 1
0.3%
20191025 1
0.3%
ValueCountFrequency (%)
20191025 1
0.3%
20141006 1
0.3%
20110412 1
0.3%
20110408 1
0.3%
20100129 2
0.5%
20081229 2
0.5%
20080605 1
0.3%

영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
4
194 
3
159 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
4 194
51.1%
3 159
41.8%
1 27
 
7.1%

Length

2024-05-11T07:40:20.317835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:20.672409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 194
51.1%
3 159
41.8%
1 27
 
7.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
취소/말소/만료/정지/중지
194 
폐업
159 
영업/정상
27 

Length

Max length14
Median length14
Mean length8.3394737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 194
51.1%
폐업 159
41.8%
영업/정상 27
 
7.1%

Length

2024-05-11T07:40:21.468919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:21.925287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 194
51.1%
폐업 159
41.8%
영업/정상 27
 
7.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
35
185 
03
159 
13
24 
31
 
9
BBBB
 
3

Length

Max length4
Median length2
Mean length2.0157895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row35
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
35 185
48.7%
03 159
41.8%
13 24
 
6.3%
31 9
 
2.4%
BBBB 3
 
0.8%

Length

2024-05-11T07:40:22.522624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:23.046508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35 185
48.7%
03 159
41.8%
13 24
 
6.3%
31 9
 
2.4%
bbbb 3
 
0.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
직권말소
185 
폐업
159 
영업중
24 
등록취소
 
9
<NA>
 
3

Length

Max length4
Median length4
Mean length3.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직권말소 185
48.7%
폐업 159
41.8%
영업중 24
 
6.3%
등록취소 9
 
2.4%
<NA> 3
 
0.8%

Length

2024-05-11T07:40:23.600110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:24.169652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직권말소 185
48.7%
폐업 159
41.8%
영업중 24
 
6.3%
등록취소 9
 
2.4%
na 3
 
0.8%

폐업일자
Date

MISSING 

Distinct149
Distinct (%)43.4%
Missing37
Missing (%)9.7%
Memory size3.1 KiB
Minimum1997-03-22 00:00:00
Maximum2023-12-26 00:00:00
2024-05-11T07:40:24.823180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:40:25.285162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing341
Missing (%)89.7%
Memory size3.1 KiB
2024-05-11T07:40:26.100440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.153846
Min length8

Characters and Unicode

Total characters396
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

Unique39 ?
Unique (%)100.0%

Sample

1st row22751694
2nd row02-2233-3120
3rd row02-848-4618
4th row2232-4775
5th row2269-5561
ValueCountFrequency (%)
22751694 1
 
2.6%
2263-4198 1
 
2.6%
6388-3800 1
 
2.6%
2274-1205 1
 
2.6%
02-2279-5610 1
 
2.6%
2274-1226 1
 
2.6%
2231-0966 1
 
2.6%
775-2915 1
 
2.6%
02-376-3316 1
 
2.6%
070-8840-2833 1
 
2.6%
Other values (29) 29
74.4%
2024-05-11T07:40:27.618270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 85
21.5%
- 54
13.6%
0 42
10.6%
7 40
10.1%
3 33
 
8.3%
5 29
 
7.3%
1 26
 
6.6%
6 26
 
6.6%
8 25
 
6.3%
4 19
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
86.4%
Dash Punctuation 54
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 85
24.9%
0 42
12.3%
7 40
11.7%
3 33
 
9.6%
5 29
 
8.5%
1 26
 
7.6%
6 26
 
7.6%
8 25
 
7.3%
4 19
 
5.6%
9 17
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 85
21.5%
- 54
13.6%
0 42
10.6%
7 40
10.1%
3 33
 
8.3%
5 29
 
7.3%
1 26
 
6.6%
6 26
 
6.6%
8 25
 
6.3%
4 19
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 85
21.5%
- 54
13.6%
0 42
10.6%
7 40
10.1%
3 33
 
8.3%
5 29
 
7.3%
1 26
 
6.6%
6 26
 
6.6%
8 25
 
6.3%
4 19
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)45.3%
Missing263
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean100578.82
Minimum100013
Maximum100897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:28.262528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100013
5-th percentile100015
Q1100281
median100811
Q3100841
95-th percentile100885.6
Maximum100897
Range884
Interquartile range (IQR)560

Descriptive statistics

Standard deviation322.56816
Coefficient of variation (CV)0.0032071181
Kurtosis-1.407408
Mean100578.82
Median Absolute Deviation (MAD)58
Skewness-0.55963553
Sum11767722
Variance104050.22
MonotonicityNot monotonic
2024-05-11T07:40:28.960968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100819 10
 
2.6%
100300 8
 
2.1%
100841 5
 
1.3%
100080 5
 
1.3%
100013 4
 
1.1%
100015 4
 
1.1%
100800 4
 
1.1%
100272 4
 
1.1%
100380 3
 
0.8%
100851 3
 
0.8%
Other values (43) 67
 
17.6%
(Missing) 263
69.2%
ValueCountFrequency (%)
100013 4
1.1%
100015 4
1.1%
100021 2
 
0.5%
100080 5
1.3%
100094 1
 
0.3%
100170 1
 
0.3%
100180 1
 
0.3%
100195 2
 
0.5%
100196 2
 
0.5%
100230 1
 
0.3%
ValueCountFrequency (%)
100897 2
0.5%
100893 1
 
0.3%
100890 1
 
0.3%
100889 1
 
0.3%
100888 1
 
0.3%
100885 1
 
0.3%
100873 1
 
0.3%
100869 3
0.8%
100868 1
 
0.3%
100862 2
0.5%

지번주소
Text

Distinct374
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T07:40:29.794315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length23.626316
Min length16

Characters and Unicode

Total characters8978
Distinct characters128
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

Unique368 ?
Unique (%)96.8%

Sample

1st row서울특별시 중구 신당동 83 (학교보건법저촉업소) 0002호
2nd row서울특별시 중구 묵정동 32-2 2호
3rd row서울특별시 중구 신당동 92번지 0005호
4th row서울특별시 중구 황학동 551번지 0000호
5th row서울특별시 중구 광희동2가 258번지 0006호
ValueCountFrequency (%)
서울특별시 380
20.2%
중구 380
20.2%
신당동 132
 
7.0%
지상 61
 
3.2%
1층 44
 
2.3%
2층 43
 
2.3%
3층 34
 
1.8%
지하 25
 
1.3%
황학동 20
 
1.1%
을지로6가 18
 
1.0%
Other values (467) 746
39.6%
2024-05-11T07:40:31.042950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1697
18.9%
1 409
 
4.6%
중 394
 
4.4%
서 381
 
4.2%
특 380
 
4.2%
별 380
 
4.2%
시 380
 
4.2%
구 380
 
4.2%
울 380
 
4.2%
지 378
 
4.2%
Other values (118) 3819
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4995
55.6%
Decimal Number 1940
 
21.6%
Space Separator 1697
 
18.9%
Dash Punctuation 320
 
3.6%
Other Punctuation 12
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 394
 
7.9%
서 381
 
7.6%
특 380
 
7.6%
별 380
 
7.6%
시 380
 
7.6%
구 380
 
7.6%
울 380
 
7.6%
지 378
 
7.6%
동 296
 
5.9%
번 216
 
4.3%
Other values (100) 1430
28.6%
Decimal Number
ValueCountFrequency (%)
1 409
21.1%
2 316
16.3%
3 259
13.4%
0 202
10.4%
4 169
8.7%
6 153
 
7.9%
5 125
 
6.4%
9 113
 
5.8%
8 106
 
5.5%
7 88
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 6
50.0%
. 6
50.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
1697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4995
55.6%
Common 3981
44.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 394
 
7.9%
서 381
 
7.6%
특 380
 
7.6%
별 380
 
7.6%
시 380
 
7.6%
구 380
 
7.6%
울 380
 
7.6%
지 378
 
7.6%
동 296
 
5.9%
번 216
 
4.3%
Other values (100) 1430
28.6%
Common
ValueCountFrequency (%)
1697
42.6%
1 409
 
10.3%
- 320
 
8.0%
2 316
 
7.9%
3 259
 
6.5%
0 202
 
5.1%
4 169
 
4.2%
6 153
 
3.8%
5 125
 
3.1%
9 113
 
2.8%
Other values (6) 218
 
5.5%
Latin
ValueCountFrequency (%)
K 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4995
55.6%
ASCII 3983
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1697
42.6%
1 409
 
10.3%
- 320
 
8.0%
2 316
 
7.9%
3 259
 
6.5%
0 202
 
5.1%
4 169
 
4.2%
6 153
 
3.8%
5 125
 
3.1%
9 113
 
2.8%
Other values (8) 220
 
5.5%
Hangul
ValueCountFrequency (%)
중 394
 
7.9%
서 381
 
7.6%
특 380
 
7.6%
별 380
 
7.6%
시 380
 
7.6%
구 380
 
7.6%
울 380
 
7.6%
지 378
 
7.6%
동 296
 
5.9%
번 216
 
4.3%
Other values (100) 1430
28.6%

도로명주소
Text

MISSING 

Distinct315
Distinct (%)98.1%
Missing59
Missing (%)15.5%
Memory size3.1 KiB
2024-05-11T07:40:31.755459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length28.28972
Min length21

Characters and Unicode

Total characters9081
Distinct characters139
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

Unique309 ?
Unique (%)96.3%

Sample

1st row서울특별시 중구 퇴계로 254 (묵정동)
2nd row서울특별시 중구 남대문로1길 6 (북창동)
3rd row서울특별시 중구 남대문로1길 25 (북창동)
4th row서울특별시 중구 을지로 170 (을지로4가)
5th row서울특별시 중구 세종대로 24 (남대문로5가)
ValueCountFrequency (%)
서울특별시 321
 
18.2%
중구 321
 
18.2%
신당동 52
 
2.9%
퇴계로 44
 
2.5%
1층 42
 
2.4%
다산로 36
 
2.0%
2층 34
 
1.9%
3층 26
 
1.5%
신당동,지상 20
 
1.1%
신당동,지하 12
 
0.7%
Other values (433) 860
48.6%
2024-05-11T07:40:32.847277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1574
 
17.3%
로 368
 
4.1%
1 347
 
3.8%
서 343
 
3.8%
중 341
 
3.8%
) 326
 
3.6%
( 326
 
3.6%
시 323
 
3.6%
구 323
 
3.6%
특 321
 
3.5%
Other values (129) 4489
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5096
56.1%
Space Separator 1574
 
17.3%
Decimal Number 1442
 
15.9%
Close Punctuation 326
 
3.6%
Open Punctuation 326
 
3.6%
Other Punctuation 245
 
2.7%
Dash Punctuation 68
 
0.7%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 368
 
7.2%
서 343
 
6.7%
중 341
 
6.7%
시 323
 
6.3%
구 323
 
6.3%
특 321
 
6.3%
별 321
 
6.3%
울 321
 
6.3%
동 301
 
5.9%
층 208
 
4.1%
Other values (109) 1926
37.8%
Decimal Number
ValueCountFrequency (%)
1 347
24.1%
2 283
19.6%
3 190
13.2%
4 165
11.4%
6 98
 
6.8%
5 91
 
6.3%
0 86
 
6.0%
8 80
 
5.5%
7 59
 
4.1%
9 43
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
J 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 240
98.0%
. 5
 
2.0%
Space Separator
ValueCountFrequency (%)
1574
100.0%
Close Punctuation
ValueCountFrequency (%)
) 326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5096
56.1%
Common 3982
43.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 368
 
7.2%
서 343
 
6.7%
중 341
 
6.7%
시 323
 
6.3%
구 323
 
6.3%
특 321
 
6.3%
별 321
 
6.3%
울 321
 
6.3%
동 301
 
5.9%
층 208
 
4.1%
Other values (109) 1926
37.8%
Common
ValueCountFrequency (%)
1574
39.5%
1 347
 
8.7%
) 326
 
8.2%
( 326
 
8.2%
2 283
 
7.1%
, 240
 
6.0%
3 190
 
4.8%
4 165
 
4.1%
6 98
 
2.5%
5 91
 
2.3%
Other values (7) 342
 
8.6%
Latin
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5096
56.1%
ASCII 3985
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1574
39.5%
1 347
 
8.7%
) 326
 
8.2%
( 326
 
8.2%
2 283
 
7.1%
, 240
 
6.0%
3 190
 
4.8%
4 165
 
4.1%
6 98
 
2.5%
5 91
 
2.3%
Other values (10) 345
 
8.7%
Hangul
ValueCountFrequency (%)
로 368
 
7.2%
서 343
 
6.7%
중 341
 
6.7%
시 323
 
6.3%
구 323
 
6.3%
특 321
 
6.3%
별 321
 
6.3%
울 321
 
6.3%
동 301
 
5.9%
층 208
 
4.1%
Other values (109) 1926
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)43.8%
Missing300
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean6972.5625
Minimum4502
Maximum100863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:33.249109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4502
5-th percentile4511.75
Q14555.75
median4577
Q34611
95-th percentile4634
Maximum100863
Range96361
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation15061.065
Coefficient of variation (CV)2.1600474
Kurtosis37.399424
Mean6972.5625
Median Absolute Deviation (MAD)22
Skewness6.2019106
Sum557805
Variance2.2683569 × 108
MonotonicityNot monotonic
2024-05-11T07:40:33.784213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4577 10
 
2.6%
4624 6
 
1.6%
4536 4
 
1.1%
4611 4
 
1.1%
4556 4
 
1.1%
4555 4
 
1.1%
4576 4
 
1.1%
4585 3
 
0.8%
4634 3
 
0.8%
4590 3
 
0.8%
Other values (25) 35
 
9.2%
(Missing) 300
78.9%
ValueCountFrequency (%)
4502 1
 
0.3%
4503 2
0.5%
4507 1
 
0.3%
4512 1
 
0.3%
4526 2
0.5%
4528 1
 
0.3%
4529 1
 
0.3%
4535 1
 
0.3%
4536 4
1.1%
4550 1
 
0.3%
ValueCountFrequency (%)
100863 1
 
0.3%
100013 1
 
0.3%
4634 3
0.8%
4625 2
 
0.5%
4624 6
1.6%
4619 2
 
0.5%
4617 3
0.8%
4611 4
1.1%
4598 2
 
0.5%
4590 3
0.8%

사업장명
Text

Distinct368
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T07:40:34.782404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length5.9973684
Min length1

Characters and Unicode

Total characters2279
Distinct characters335
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

Unique357 ?
Unique (%)93.9%

Sample

1st row디즈니
2nd row충무오락실
3rd row진흥
4th row세종
5th row광희
ValueCountFrequency (%)
pc방 76
 
13.6%
pc 38
 
6.8%
피시방 6
 
1.1%
약수점 4
 
0.7%
피씨방 4
 
0.7%
스카이 3
 
0.5%
cafe 3
 
0.5%
사이버리아 3
 
0.5%
토마토 2
 
0.4%
스타 2
 
0.4%
Other values (390) 418
74.8%
2024-05-11T07:40:35.933317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 197
 
8.6%
C 190
 
8.3%
179
 
7.9%
방 145
 
6.4%
스 65
 
2.9%
이 65
 
2.9%
피 42
 
1.8%
넷 42
 
1.8%
터 35
 
1.5%
인 35
 
1.5%
Other values (325) 1284
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1554
68.2%
Uppercase Letter 459
 
20.1%
Space Separator 179
 
7.9%
Lowercase Letter 41
 
1.8%
Decimal Number 21
 
0.9%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Dash Punctuation 6
 
0.3%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 145
 
9.3%
스 65
 
4.2%
이 65
 
4.2%
피 42
 
2.7%
넷 42
 
2.7%
터 35
 
2.3%
인 35
 
2.3%
게 31
 
2.0%
임 29
 
1.9%
리 28
 
1.8%
Other values (279) 1037
66.7%
Uppercase Letter
ValueCountFrequency (%)
P 197
42.9%
C 190
41.4%
E 10
 
2.2%
O 9
 
2.0%
A 8
 
1.7%
K 6
 
1.3%
S 5
 
1.1%
T 4
 
0.9%
R 3
 
0.7%
H 3
 
0.7%
Other values (13) 24
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
c 11
26.8%
p 10
24.4%
e 5
12.2%
m 3
 
7.3%
r 2
 
4.9%
a 2
 
4.9%
n 2
 
4.9%
f 2
 
4.9%
t 1
 
2.4%
u 1
 
2.4%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
2 10
47.6%
3 5
23.8%
1 3
 
14.3%
0 2
 
9.5%
5 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1554
68.2%
Latin 500
 
21.9%
Common 225
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 145
 
9.3%
스 65
 
4.2%
이 65
 
4.2%
피 42
 
2.7%
넷 42
 
2.7%
터 35
 
2.3%
인 35
 
2.3%
게 31
 
2.0%
임 29
 
1.9%
리 28
 
1.8%
Other values (279) 1037
66.7%
Latin
ValueCountFrequency (%)
P 197
39.4%
C 190
38.0%
c 11
 
2.2%
p 10
 
2.0%
E 10
 
2.0%
O 9
 
1.8%
A 8
 
1.6%
K 6
 
1.2%
S 5
 
1.0%
e 5
 
1.0%
Other values (25) 49
 
9.8%
Common
ValueCountFrequency (%)
179
79.6%
2 10
 
4.4%
( 8
 
3.6%
) 8
 
3.6%
- 6
 
2.7%
3 5
 
2.2%
1 3
 
1.3%
0 2
 
0.9%
. 2
 
0.9%
' 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1554
68.2%
ASCII 725
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 197
27.2%
C 190
26.2%
179
24.7%
c 11
 
1.5%
p 10
 
1.4%
E 10
 
1.4%
2 10
 
1.4%
O 9
 
1.2%
A 8
 
1.1%
( 8
 
1.1%
Other values (36) 93
12.8%
Hangul
ValueCountFrequency (%)
방 145
 
9.3%
스 65
 
4.2%
이 65
 
4.2%
피 42
 
2.7%
넷 42
 
2.7%
터 35
 
2.3%
인 35
 
2.3%
게 31
 
2.0%
임 29
 
1.9%
리 28
 
1.8%
Other values (279) 1037
66.7%

최종수정일자
Date

Distinct319
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2003-02-11 18:21:03
Maximum2024-04-06 14:36:25
2024-05-11T07:40:36.373912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:40:36.848385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
207 
U
173 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 207
54.5%
U 173
45.5%

Length

2024-05-11T07:40:37.306725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:37.759836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 207
54.5%
u 173
45.5%

데이터갱신일자
Date

Distinct37
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:08:00
2024-05-11T07:40:38.095838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:40:38.461709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct262
Distinct (%)78.9%
Missing48
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean199961.2
Minimum196632.66
Maximum201987.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:38.860473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196632.66
5-th percentile197375.09
Q1198675.14
median200368.73
Q3201203.81
95-th percentile201686.07
Maximum201987.18
Range5354.5191
Interquartile range (IQR)2528.6738

Descriptive statistics

Standard deviation1428.9022
Coefficient of variation (CV)0.0071458974
Kurtosis-0.77665736
Mean199961.2
Median Absolute Deviation (MAD)1068.1403
Skewness-0.57057612
Sum66387119
Variance2041761.6
MonotonicityNot monotonic
2024-05-11T07:40:39.353737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200640.845642848 4
 
1.1%
201693.294849784 4
 
1.1%
199345.537896557 4
 
1.1%
200953.347598769 3
 
0.8%
197951.529011969 3
 
0.8%
200802.28067877 3
 
0.8%
201686.07376784 3
 
0.8%
198149.837723773 3
 
0.8%
199746.645312991 3
 
0.8%
200548.395251136 3
 
0.8%
Other values (252) 299
78.7%
(Missing) 48
 
12.6%
ValueCountFrequency (%)
196632.663625144 1
0.3%
196655.581895878 1
0.3%
196691.269917831 2
0.5%
196700.114201277 1
0.3%
196713.052052044 1
0.3%
196743.854095597 1
0.3%
196864.942838297 2
0.5%
196870.283946574 1
0.3%
196873.878042516 1
0.3%
196885.124865249 1
0.3%
ValueCountFrequency (%)
201987.182696146 1
 
0.3%
201887.016026142 2
0.5%
201797.872285138 1
 
0.3%
201784.82330928 1
 
0.3%
201780.706901894 1
 
0.3%
201775.039015385 1
 
0.3%
201771.881615785 1
 
0.3%
201724.457772645 1
 
0.3%
201693.294849784 4
1.1%
201691.903143786 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct262
Distinct (%)78.9%
Missing48
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean451023.55
Minimum449562.22
Maximum451958.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:39.975736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449562.22
5-th percentile450153.78
Q1450736.47
median451094.44
Q3451386.28
95-th percentile451702.54
Maximum451958.5
Range2396.2767
Interquartile range (IQR)649.80582

Descriptive statistics

Standard deviation472.64038
Coefficient of variation (CV)0.0010479284
Kurtosis0.015074742
Mean451023.55
Median Absolute Deviation (MAD)320.62168
Skewness-0.6368276
Sum1.4973982 × 108
Variance223388.93
MonotonicityNot monotonic
2024-05-11T07:40:40.479372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451721.924344597 4
 
1.1%
451441.900267136 4
 
1.1%
451328.888559506 4
 
1.1%
450275.91919082 3
 
0.8%
450599.807638881 3
 
0.8%
450065.857361406 3
 
0.8%
451520.650686027 3
 
0.8%
450736.472534574 3
 
0.8%
451016.950292809 3
 
0.8%
449562.218888591 3
 
0.8%
Other values (252) 299
78.7%
(Missing) 48
 
12.6%
ValueCountFrequency (%)
449562.218888591 3
0.8%
449715.594630115 1
 
0.3%
449947.401377686 1
 
0.3%
449989.938509479 1
 
0.3%
450049.376670602 2
0.5%
450062.747596577 2
0.5%
450065.857361406 3
0.8%
450100.127638921 1
 
0.3%
450130.873093391 1
 
0.3%
450145.242099991 1
 
0.3%
ValueCountFrequency (%)
451958.495584927 1
 
0.3%
451912.395606815 2
0.5%
451887.446565367 1
 
0.3%
451872.409388295 1
 
0.3%
451789.923586649 1
 
0.3%
451773.766782206 1
 
0.3%
451756.493520725 1
 
0.3%
451726.759418737 1
 
0.3%
451721.924344597 4
1.1%
451718.542787454 2
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
인터넷컴퓨터게임시설제공업
227 
<NA>
153 

Length

Max length13
Median length13
Mean length9.3763158
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 227
59.7%
<NA> 153
40.3%

Length

2024-05-11T07:40:40.923563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:41.260981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 227
59.7%
na 153
40.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
유통관련업
227 
<NA>
153 

Length

Max length5
Median length5
Mean length4.5973684
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 227
59.7%
<NA> 153
40.3%

Length

2024-05-11T07:40:41.756063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:42.068578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 227
59.7%
na 153
40.3%

총층수
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
224 
<NA>
153 
7
 
2
5
 
1

Length

Max length4
Median length1
Mean length2.2078947
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 224
58.9%
<NA> 153
40.3%
7 2
 
0.5%
5 1
 
0.3%

Length

2024-05-11T07:40:42.505099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:43.000057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 224
58.9%
na 153
40.3%
7 2
 
0.5%
5 1
 
0.3%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
344 
기타
 
25
주택가주변
 
4
유흥업소밀집지역
 
4
학교정화(절대)
 
2

Length

Max length8
Median length4
Mean length3.9526316
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row학교정화(절대)
4th row기타
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 344
90.5%
기타 25
 
6.6%
주택가주변 4
 
1.1%
유흥업소밀집지역 4
 
1.1%
학교정화(절대) 2
 
0.5%
학교정화(상대) 1
 
0.3%

Length

2024-05-11T07:40:43.543003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:43.983388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 344
90.5%
기타 25
 
6.6%
주택가주변 4
 
1.1%
유흥업소밀집지역 4
 
1.1%
학교정화(절대 2
 
0.5%
학교정화(상대 1
 
0.3%

제작취급품목내용
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing378
Missing (%)99.5%
Memory size3.1 KiB
2024-05-11T07:40:44.607203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13.5
Mean length13.5
Min length10

Characters and Unicode

Total characters27
Distinct characters20
Distinct categories5 ?
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 row인터넷컴퓨터게임시설
2nd row성인인터넷게임(바둑이,포커 등)
ValueCountFrequency (%)
인터넷컴퓨터게임시설 1
33.3%
성인인터넷게임(바둑이,포커 1
33.3%
등 1
33.3%
2024-05-11T07:40:46.020573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3
 
11.1%
터 3
 
11.1%
넷 2
 
7.4%
게 2
 
7.4%
임 2
 
7.4%
둑 1
 
3.7%
등 1
 
3.7%
1
 
3.7%
커 1
 
3.7%
포 1
 
3.7%
Other values (10) 10
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
85.2%
Space Separator 1
 
3.7%
Other Punctuation 1
 
3.7%
Open Punctuation 1
 
3.7%
Close Punctuation 1
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3
13.0%
터 3
13.0%
넷 2
 
8.7%
게 2
 
8.7%
임 2
 
8.7%
둑 1
 
4.3%
등 1
 
4.3%
커 1
 
4.3%
포 1
 
4.3%
이 1
 
4.3%
Other values (6) 6
26.1%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
85.2%
Common 4
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3
13.0%
터 3
13.0%
넷 2
 
8.7%
게 2
 
8.7%
임 2
 
8.7%
둑 1
 
4.3%
등 1
 
4.3%
커 1
 
4.3%
포 1
 
4.3%
이 1
 
4.3%
Other values (6) 6
26.1%
Common
ValueCountFrequency (%)
1
25.0%
, 1
25.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
85.2%
ASCII 4
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3
13.0%
터 3
13.0%
넷 2
 
8.7%
게 2
 
8.7%
임 2
 
8.7%
둑 1
 
4.3%
등 1
 
4.3%
커 1
 
4.3%
포 1
 
4.3%
이 1
 
4.3%
Other values (6) 6
26.1%
ASCII
ValueCountFrequency (%)
1
25.0%
, 1
25.0%
( 1
25.0%
) 1
25.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct147
Distinct (%)64.8%
Missing153
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean85.67022
Minimum0
Maximum455.55
Zeros71
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:46.584564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median73.88
Q3137.06
95-th percentile244.265
Maximum455.55
Range455.55
Interquartile range (IQR)137.06

Descriptive statistics

Standard deviation87.582784
Coefficient of variation (CV)1.0223247
Kurtosis1.7286552
Mean85.67022
Median Absolute Deviation (MAD)73.88
Skewness1.2067605
Sum19447.14
Variance7670.7441
MonotonicityNot monotonic
2024-05-11T07:40:47.151455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
18.7%
148.5 3
 
0.8%
147.84 2
 
0.5%
168.01 2
 
0.5%
147.0 2
 
0.5%
34.27 2
 
0.5%
26.0 2
 
0.5%
12.4 2
 
0.5%
103.8 2
 
0.5%
40.0 2
 
0.5%
Other values (137) 137
36.1%
(Missing) 153
40.3%
ValueCountFrequency (%)
0.0 71
18.7%
12.4 2
 
0.5%
17.0 1
 
0.3%
23.0 1
 
0.3%
26.0 2
 
0.5%
26.45 1
 
0.3%
28.05 1
 
0.3%
29.0 1
 
0.3%
29.62 1
 
0.3%
31.4 1
 
0.3%
ValueCountFrequency (%)
455.55 1
0.3%
396.96 1
0.3%
369.46 1
0.3%
338.42 1
0.3%
330.58 1
0.3%
304.55 1
0.3%
295.49 1
0.3%
284.49 1
0.3%
283.54 1
0.3%
278.4 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.6%
Missing153
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean0.0969163
Minimum0
Maximum7
Zeros222
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:47.634823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.70355558
Coefficient of variation (CV)7.2594144
Kurtosis67.454719
Mean0.0969163
Median Absolute Deviation (MAD)0
Skewness8.0150421
Sum22
Variance0.49499045
MonotonicityNot monotonic
2024-05-11T07:40:48.138711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 222
58.4%
4 1
 
0.3%
3 1
 
0.3%
2 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
(Missing) 153
40.3%
ValueCountFrequency (%)
0 222
58.4%
2 1
 
0.3%
3 1
 
0.3%
4 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 1
 
0.3%
0 222
58.4%

지하층수
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
224 
<NA>
153 
1
 
2
3
 
1

Length

Max length4
Median length1
Mean length2.2078947
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 224
58.9%
<NA> 153
40.3%
1 2
 
0.5%
3 1
 
0.3%

Length

2024-05-11T07:40:48.602358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:48.978388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 224
58.9%
na 153
40.3%
1 2
 
0.5%
3 1
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
367 
근린생활시설
 
12
사무실
 
1

Length

Max length6
Median length4
Mean length4.0605263
Min length3

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> 367
96.6%
근린생활시설 12
 
3.2%
사무실 1
 
0.3%

Length

2024-05-11T07:40:49.456130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:49.819924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 367
96.6%
근린생활시설 12
 
3.2%
사무실 1
 
0.3%

통로너비
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
227 
<NA>
153 

Length

Max length4
Median length1
Mean length2.2078947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 227
59.7%
<NA> 153
40.3%

Length

2024-05-11T07:40:50.190547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:50.530537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 227
59.7%
na 153
40.3%

조명시설조도
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
227 
<NA>
153 

Length

Max length4
Median length1
Mean length2.2078947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 227
59.7%
<NA> 153
40.3%

Length

2024-05-11T07:40:50.896036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:51.269917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 227
59.7%
na 153
40.3%

노래방실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
227 
<NA>
153 

Length

Max length4
Median length1
Mean length2.2078947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 227
59.7%
<NA> 153
40.3%

Length

2024-05-11T07:40:51.763011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:52.258209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 227
59.7%
na 153
40.3%

청소년실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
227 
<NA>
153 

Length

Max length4
Median length1
Mean length2.2078947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 227
59.7%
<NA> 153
40.3%

Length

2024-05-11T07:40:52.829915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:53.290400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 227
59.7%
na 153
40.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)11.5%
Missing153
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean7.722467
Minimum0
Maximum195
Zeros191
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T07:40:53.890295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile62.1
Maximum195
Range195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.055532
Coefficient of variation (CV)3.6329754
Kurtosis19.759037
Mean7.722467
Median Absolute Deviation (MAD)0
Skewness4.3749093
Sum1753
Variance787.1129
MonotonicityNot monotonic
2024-05-11T07:40:54.765581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 191
50.3%
7 6
 
1.6%
5 3
 
0.8%
6 3
 
0.8%
8 2
 
0.5%
9 2
 
0.5%
92 1
 
0.3%
60 1
 
0.3%
111 1
 
0.3%
146 1
 
0.3%
Other values (16) 16
 
4.2%
(Missing) 153
40.3%
ValueCountFrequency (%)
0 191
50.3%
5 3
 
0.8%
6 3
 
0.8%
7 6
 
1.6%
8 2
 
0.5%
9 2
 
0.5%
10 1
 
0.3%
11 1
 
0.3%
20 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
195 1
0.3%
160 1
0.3%
146 1
0.3%
145 1
0.3%
127 1
0.3%
111 1
0.3%
104 1
0.3%
98 1
0.3%
97 1
0.3%
92 1
0.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
345 
전체이용가
 
31
청소년이용불가
 
4

Length

Max length7
Median length4
Mean length4.1131579
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 345
90.8%
전체이용가 31
 
8.2%
청소년이용불가 4
 
1.1%

Length

2024-05-11T07:40:55.434930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:55.773082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
90.8%
전체이용가 31
 
8.2%
청소년이용불가 4
 
1.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
330 
상업지역
 
28
일반상업지역
 
14
중심상업지역
 
4
일반주거지역
 
2

Length

Max length6
Median length4
Mean length4.1105263
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 330
86.8%
상업지역 28
 
7.4%
일반상업지역 14
 
3.7%
중심상업지역 4
 
1.1%
일반주거지역 2
 
0.5%
준주거지역 2
 
0.5%

Length

2024-05-11T07:40:56.296913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:40:56.785045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
86.8%
상업지역 28
 
7.4%
일반상업지역 14
 
3.7%
중심상업지역 4
 
1.1%
일반주거지역 2
 
0.5%
준주거지역 2
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF22410219850000011985-10-16<NA>4취소/말소/만료/정지/중지35직권말소2023-06-29<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 83 (학교보건법저촉업소) 0002호<NA><NA>디즈니2023-07-28 18:06:27U2022-12-06 21:00:00.0<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>
13010000CDFF22410219870000011987-07-01<NA>4취소/말소/만료/정지/중지35직권말소2023-06-29<NA><NA><NA><NA><NA><NA>서울특별시 중구 묵정동 32-2 2호서울특별시 중구 퇴계로 254 (묵정동)4619충무오락실2023-07-28 18:07:36U2022-12-06 21:00:00.0<NA>199924.445802451118.558792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23010000CDFF224102198700000219870701<NA>3폐업03폐업19980302<NA><NA><NA><NA><NA>100450서울특별시 중구 신당동 92번지 0005호<NA><NA>진흥2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0학교정화(절대)<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF224102198700000319870701<NA>3폐업03폐업19980709<NA><NA><NA><NA><NA>100869서울특별시 중구 황학동 551번지 0000호<NA><NA>세종2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0기타<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF224102198700000419870701<NA>3폐업03폐업19980709<NA><NA><NA><NA><NA>100412서울특별시 중구 광희동2가 258번지 0006호<NA><NA>광희2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0주택가주변<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF224102198900000319890729<NA>3폐업03폐업19990617<NA><NA><NA><NA><NA>100080서울특별시 중구 북창동 134-1번지서울특별시 중구 남대문로1길 6 (북창동)<NA>디즈니게임장2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>197960.987618451009.710792인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF224102198900000419890804<NA>3폐업03폐업19990401<NA><NA><NA><NA><NA>100080서울특별시 중구 북창동 20-2번지서울특별시 중구 남대문로1길 25 (북창동)<NA>동경게임장2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>197922.915701451101.900532인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF224102199300000119930305<NA>3폐업03폐업19980108<NA><NA><NA><NA><NA>100013서울특별시 중구 충무로3가 25번지 16호<NA><NA>큰길2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF224102199400000119940125<NA>3폐업03폐업19980108<NA><NA><NA><NA><NA>100013서울특별시 중구 충무로3가 25번지 0001호<NA><NA>비엠2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0유흥업소밀집지역<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF224102199600000419960827<NA>3폐업03폐업19980108<NA><NA><NA><NA><NA>100013서울특별시 중구 충무로3가 59번지 0010호<NA><NA>오계절2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0학교정화(절대)<NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3703010000CDFF22410220200000032020-03-02<NA>4취소/말소/만료/정지/중지35직권말소2023-12-26<NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 720서울특별시 중구 퇴계로 433-2, 1층 (황학동)4576리버파크2023-12-26 11:31:05U2022-11-01 22:08:00.0<NA>201686.073768451520.650686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3713010000CDFF22410220200000042020-04-17<NA>4취소/말소/만료/정지/중지35직권말소2023-12-26<NA><NA><NA>02-233-8005<NA><NA>서울특별시 중구 황학동 720서울특별시 중구 퇴계로 433, 2층 (황학동)4576월드PC2023-12-26 14:29:28U2022-11-01 22:08:00.0<NA>201686.073768451520.650686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3723010000CDFF22410220200000052020-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동2가 55서울특별시 중구 퇴계로42길 7, 지하층 (필동2가)4624OK PC2024-03-28 13:44:03U2023-12-02 21:00:00.0<NA>199650.818851451009.585159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3733010000CDFF224102202000000620200903<NA>3폐업03폐업20210618<NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동1가 102-5서울특별시 중구 마른내로 50-1, 지하층 (인현동1가)4556명보게임장2021-06-18 12:22:22U2021-06-20 02:40:00.0<NA>199345.537897451328.88856인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>215.7700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA>
3743010000CDFF224102202000000720201015<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 1101-1서울특별시 중구 난계로 185, 2층 (황학동)45743POP 플러스 PC CAFE2020-10-15 16:42:44I2020-10-17 00:23:10.0<NA>201987.182696451773.766782인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>231.3500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>92<NA>전체이용가<NA><NA><NA><NA>
3753010000CDFF224102202100000120210609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 초동 45-1서울특별시 중구 마른내로2길 15-9, 1층 (초동)4555판도라PC2021-06-09 09:18:43I2021-06-11 00:22:55.0<NA>199278.427401451262.36031인터넷컴퓨터게임시설제공업유통관련업0<NA>성인인터넷게임(바둑이,포커 등)31.400근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>청소년이용불가<NA><NA><NA>상업지역
3763010000CDFF22410220210000022021-11-09<NA>4취소/말소/만료/정지/중지35직권말소2023-12-26<NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동2가 187-6 상록서울특별시 중구 동호로24길 27-7, 상록 2층 (장충동2가)4617제우스PC2023-12-26 11:32:16U2022-11-01 22:08:00.0<NA>200369.603678450908.368974<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3773010000CDFF22410220220000012022-07-14<NA>4취소/말소/만료/정지/중지35직권말소2023-06-29<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 130-2서울특별시 중구 퇴계로 424, 2층 (신당동)4577싼타PC2023-07-19 15:49:02U2022-12-06 22:01:00.0<NA>201593.316166451464.520242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3783010000CDFF22410220230000012023-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 1206서울특별시 중구 마장로 99, 2층 (황학동)4574여우PC2023-06-01 19:05:41I2022-12-06 00:03:00.0<NA>201771.881616451789.923587<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3793010000CDFF22410220230000022023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남창동 168-13서울특별시 중구 퇴계로 42-2 (남창동)4634남문PC2024-04-06 14:36:25U2023-12-04 00:08:00.0<NA>197956.065207450604.565195<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>