Overview

Dataset statistics

Number of variables56
Number of observations195
Missing cells5308
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.7 KiB
Average record size in memory486.7 B

Variable types

Categorical15
Text6
DateTime4
Numeric10
Unsupported21

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16767/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (82.3%)Imbalance
지하층수 is highly imbalanced (61.4%)Imbalance
건물용도명 is highly imbalanced (50.7%)Imbalance
통로너비 is highly imbalanced (95.4%)Imbalance
노래방실수 is highly imbalanced (95.4%)Imbalance
청소년실수 is highly imbalanced (95.4%)Imbalance
제공게임물명 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 180 (92.3%) missing valuesMissing
폐업일자 has 40 (20.5%) missing valuesMissing
휴업시작일자 has 195 (100.0%) missing valuesMissing
휴업종료일자 has 195 (100.0%) missing valuesMissing
재개업일자 has 195 (100.0%) missing valuesMissing
전화번호 has 157 (80.5%) missing valuesMissing
소재지면적 has 195 (100.0%) missing valuesMissing
소재지우편번호 has 162 (83.1%) missing valuesMissing
지번주소 has 5 (2.6%) missing valuesMissing
도로명주소 has 5 (2.6%) missing valuesMissing
도로명우편번호 has 79 (40.5%) missing valuesMissing
업태구분명 has 195 (100.0%) missing valuesMissing
좌표정보(X) has 4 (2.1%) missing valuesMissing
좌표정보(Y) has 4 (2.1%) missing valuesMissing
총층수 has 106 (54.4%) missing valuesMissing
제작취급품목내용 has 195 (100.0%) missing valuesMissing
시설면적 has 32 (16.4%) missing valuesMissing
지상층수 has 129 (66.2%) missing valuesMissing
조명시설조도 has 83 (42.6%) missing valuesMissing
비상계단여부 has 195 (100.0%) missing valuesMissing
비상구여부 has 195 (100.0%) missing valuesMissing
자동환기여부 has 195 (100.0%) missing valuesMissing
청소년실여부 has 195 (100.0%) missing valuesMissing
특수조명여부 has 195 (100.0%) missing valuesMissing
방음시설여부 has 195 (100.0%) missing valuesMissing
비디오재생기명 has 195 (100.0%) missing valuesMissing
조명시설유무 has 195 (100.0%) missing valuesMissing
음향시설여부 has 195 (100.0%) missing valuesMissing
편의시설여부 has 195 (100.0%) missing valuesMissing
소방시설여부 has 195 (100.0%) missing valuesMissing
총게임기수 has 36 (18.5%) missing valuesMissing
기존게임업외업종명 has 195 (100.0%) missing valuesMissing
공연장형태구분명 has 195 (100.0%) missing valuesMissing
품목명 has 195 (100.0%) missing valuesMissing
최초등록시점 has 195 (100.0%) missing valuesMissing
지역구분명 has 191 (97.9%) 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
제작취급품목내용 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

Reproduction

Analysis started2024-05-11 06:24:45.240852
Analysis finished2024-05-11 06:24:46.692797
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3000000
195 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 195
100.0%

Length

2024-05-11T15:24:46.857267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:47.148504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 195
100.0%

관리번호
Text

UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T15:24:47.550094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3900
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

Unique195 ?
Unique (%)100.0%

Sample

1st rowCDFF2241022007000001
2nd rowCDFF2241022007000002
3rd rowCDFF2241022007000003
4th rowCDFF2241022007000004
5th rowCDFF2241022007000005
ValueCountFrequency (%)
cdff2241022007000001 1
 
0.5%
cdff2241022008000076 1
 
0.5%
cdff2241022013000001 1
 
0.5%
cdff2241022011000001 1
 
0.5%
cdff2241022011000002 1
 
0.5%
cdff2241022011000003 1
 
0.5%
cdff2241022011000004 1
 
0.5%
cdff2241022012000001 1
 
0.5%
cdff2241022012000002 1
 
0.5%
cdff2241022012000003 1
 
0.5%
Other values (185) 185
94.9%
2024-05-11T15:24:48.212095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1406
36.1%
2 833
21.4%
F 390
 
10.0%
1 322
 
8.3%
4 237
 
6.1%
C 195
 
5.0%
D 195
 
5.0%
8 114
 
2.9%
7 58
 
1.5%
3 44
 
1.1%
Other values (3) 106
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3120
80.0%
Uppercase Letter 780
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1406
45.1%
2 833
26.7%
1 322
 
10.3%
4 237
 
7.6%
8 114
 
3.7%
7 58
 
1.9%
3 44
 
1.4%
5 36
 
1.2%
6 36
 
1.2%
9 34
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 390
50.0%
C 195
25.0%
D 195
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3120
80.0%
Latin 780
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1406
45.1%
2 833
26.7%
1 322
 
10.3%
4 237
 
7.6%
8 114
 
3.7%
7 58
 
1.9%
3 44
 
1.4%
5 36
 
1.2%
6 36
 
1.2%
9 34
 
1.1%
Latin
ValueCountFrequency (%)
F 390
50.0%
C 195
25.0%
D 195
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1406
36.1%
2 833
21.4%
F 390
 
10.0%
1 322
 
8.3%
4 237
 
6.1%
C 195
 
5.0%
D 195
 
5.0%
8 114
 
2.9%
7 58
 
1.5%
3 44
 
1.1%
Other values (3) 106
 
2.7%

인허가일자
Date

Distinct148
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2007-08-06 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T15:24:48.513615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:24:49.252037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing180
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean20116585
Minimum20090121
Maximum20190704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:24:49.523509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090121
5-th percentile20090180
Q120090759
median20090909
Q320150358
95-th percentile20162857
Maximum20190704
Range100583
Interquartile range (IQR)59598.5

Descriptive statistics

Standard deviation33344.44
Coefficient of variation (CV)0.0016575597
Kurtosis-0.28704272
Mean20116585
Median Absolute Deviation (MAD)788
Skewness0.94113481
Sum3.0174878 × 108
Variance1.1118517 × 109
MonotonicityNot monotonic
2024-05-11T15:24:49.774887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20090803 3
 
1.5%
20090909 1
 
0.5%
20090121 1
 
0.5%
20090715 1
 
0.5%
20090330 1
 
0.5%
20090205 1
 
0.5%
20120220 1
 
0.5%
20110907 1
 
0.5%
20150202 1
 
0.5%
20150619 1
 
0.5%
Other values (3) 3
 
1.5%
(Missing) 180
92.3%
ValueCountFrequency (%)
20090121 1
 
0.5%
20090205 1
 
0.5%
20090330 1
 
0.5%
20090715 1
 
0.5%
20090803 3
1.5%
20090909 1
 
0.5%
20110907 1
 
0.5%
20120220 1
 
0.5%
20150202 1
 
0.5%
20150513 1
 
0.5%
ValueCountFrequency (%)
20190704 1
 
0.5%
20150923 1
 
0.5%
20150619 1
 
0.5%
20150513 1
 
0.5%
20150202 1
 
0.5%
20120220 1
 
0.5%
20110907 1
 
0.5%
20090909 1
 
0.5%
20090803 3
1.5%
20090715 1
 
0.5%

영업상태코드
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
101 
4
69 
1
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 101
51.8%
4 69
35.4%
1 25
 
12.8%

Length

2024-05-11T15:24:49.964114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:50.138633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 101
51.8%
4 69
35.4%
1 25
 
12.8%

영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
101 
취소/말소/만료/정지/중지
69 
영업/정상
25 

Length

Max length14
Median length2
Mean length6.6307692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 101
51.8%
취소/말소/만료/정지/중지 69
35.4%
영업/정상 25
 
12.8%

Length

2024-05-11T15:24:50.422387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:50.747167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 101
51.8%
취소/말소/만료/정지/중지 69
35.4%
영업/정상 25
 
12.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
101 
35
54 
13
25 
31
15 

Length

Max length2
Median length1
Mean length1.4820513
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row3
3rd row35
4th row35
5th row35

Common Values

ValueCountFrequency (%)
3 101
51.8%
35 54
27.7%
13 25
 
12.8%
31 15
 
7.7%

Length

2024-05-11T15:24:51.106386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:51.457865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 101
51.8%
35 54
27.7%
13 25
 
12.8%
31 15
 
7.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
101 
직권말소
54 
영업중
25 
등록취소
15 

Length

Max length4
Median length2
Mean length2.8358974
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 101
51.8%
직권말소 54
27.7%
영업중 25
 
12.8%
등록취소 15
 
7.7%

Length

2024-05-11T15:24:51.773410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:52.227963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 101
51.8%
직권말소 54
27.7%
영업중 25
 
12.8%
등록취소 15
 
7.7%

폐업일자
Date

MISSING 

Distinct110
Distinct (%)71.0%
Missing40
Missing (%)20.5%
Memory size1.7 KiB
Minimum2008-09-24 00:00:00
Maximum2024-03-28 00:00:00
2024-05-11T15:24:52.573439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:24:52.891475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing157
Missing (%)80.5%
Memory size1.7 KiB
2024-05-11T15:24:53.636765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.2368421
Min length8

Characters and Unicode

Total characters313
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

Unique38 ?
Unique (%)100.0%

Sample

1st row747-1444
2nd row764-7450
3rd row3675-5749
4th row2138-1234
5th row720-7182
ValueCountFrequency (%)
747-4697 1
 
2.6%
737-5977 1
 
2.6%
747-8238 1
 
2.6%
394-1271 1
 
2.6%
3675-0728 1
 
2.6%
745-0317 1
 
2.6%
730-3880 1
 
2.6%
765-4936 1
 
2.6%
744-1443 1
 
2.6%
308-8979 1
 
2.6%
Other values (28) 28
73.7%
2024-05-11T15:24:54.578304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 58
18.5%
- 39
12.5%
3 34
10.9%
2 33
10.5%
4 28
8.9%
6 28
8.9%
0 20
 
6.4%
5 19
 
6.1%
1 19
 
6.1%
8 18
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 274
87.5%
Dash Punctuation 39
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 58
21.2%
3 34
12.4%
2 33
12.0%
4 28
10.2%
6 28
10.2%
0 20
 
7.3%
5 19
 
6.9%
1 19
 
6.9%
8 18
 
6.6%
9 17
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 58
18.5%
- 39
12.5%
3 34
10.9%
2 33
10.5%
4 28
8.9%
6 28
8.9%
0 20
 
6.4%
5 19
 
6.1%
1 19
 
6.1%
8 18
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 58
18.5%
- 39
12.5%
3 34
10.9%
2 33
10.5%
4 28
8.9%
6 28
8.9%
0 20
 
6.4%
5 19
 
6.1%
1 19
 
6.1%
8 18
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing162
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean110548.67
Minimum110020
Maximum110853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:24:54.826041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110020
5-th percentile110048.6
Q1110122
median110812
Q3110840
95-th percentile110844.4
Maximum110853
Range833
Interquartile range (IQR)718

Descriptive statistics

Standard deviation339.40119
Coefficient of variation (CV)0.0030701518
Kurtosis-1.6392485
Mean110548.67
Median Absolute Deviation (MAD)33
Skewness-0.49423192
Sum3648106
Variance115193.17
MonotonicityNot monotonic
2024-05-11T15:24:55.058774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
110840 3
 
1.5%
110122 3
 
1.5%
110842 2
 
1.0%
110825 2
 
1.0%
110853 1
 
0.5%
110843 1
 
0.5%
110829 1
 
0.5%
110320 1
 
0.5%
110370 1
 
0.5%
110020 1
 
0.5%
Other values (17) 17
 
8.7%
(Missing) 162
83.1%
ValueCountFrequency (%)
110020 1
 
0.5%
110045 1
 
0.5%
110051 1
 
0.5%
110080 1
 
0.5%
110100 1
 
0.5%
110111 1
 
0.5%
110122 3
1.5%
110126 1
 
0.5%
110320 1
 
0.5%
110370 1
 
0.5%
ValueCountFrequency (%)
110853 1
 
0.5%
110845 1
 
0.5%
110844 1
 
0.5%
110843 1
 
0.5%
110842 2
1.0%
110840 3
1.5%
110837 1
 
0.5%
110836 1
 
0.5%
110831 1
 
0.5%
110829 1
 
0.5%

지번주소
Text

MISSING 

Distinct185
Distinct (%)97.4%
Missing5
Missing (%)2.6%
Memory size1.7 KiB
2024-05-11T15:24:55.583367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length25.747368
Min length17

Characters and Unicode

Total characters4892
Distinct characters119
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

Unique180 ?
Unique (%)94.7%

Sample

1st row서울특별시 종로구 관수동 3-3번지 (3층)
2nd row서울특별시 종로구 관철동 7-5번지 (4층)
3rd row서울특별시 종로구 원남동 282번지 (2층)
4th row서울특별시 종로구 명륜2가 222번지 (2층)
5th row서울특별시 종로구 낙원동 235-5번지 (3층)
ValueCountFrequency (%)
서울특별시 190
20.2%
종로구 190
20.2%
창신동 51
 
5.4%
2층 48
 
5.1%
지하1층 33
 
3.5%
숭인동 29
 
3.1%
3층 26
 
2.8%
1층 22
 
2.3%
관철동 12
 
1.3%
명륜2가 12
 
1.3%
Other values (247) 329
34.9%
2024-05-11T15:24:56.479984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
913
18.7%
1 213
 
4.4%
종 211
 
4.3%
로 211
 
4.3%
구 194
 
4.0%
서 191
 
3.9%
지 191
 
3.9%
특 190
 
3.9%
별 190
 
3.9%
시 190
 
3.9%
Other values (109) 2198
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2754
56.3%
Space Separator 913
 
18.7%
Decimal Number 868
 
17.7%
Dash Punctuation 122
 
2.5%
Open Punctuation 110
 
2.2%
Close Punctuation 110
 
2.2%
Other Punctuation 11
 
0.2%
Uppercase Letter 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 211
 
7.7%
로 211
 
7.7%
구 194
 
7.0%
서 191
 
6.9%
지 191
 
6.9%
특 190
 
6.9%
별 190
 
6.9%
시 190
 
6.9%
울 190
 
6.9%
층 158
 
5.7%
Other values (91) 838
30.4%
Decimal Number
ValueCountFrequency (%)
1 213
24.5%
2 182
21.0%
3 104
12.0%
4 85
 
9.8%
7 58
 
6.7%
5 54
 
6.2%
0 50
 
5.8%
6 46
 
5.3%
8 39
 
4.5%
9 37
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
913
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2754
56.3%
Common 2134
43.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 211
 
7.7%
로 211
 
7.7%
구 194
 
7.0%
서 191
 
6.9%
지 191
 
6.9%
특 190
 
6.9%
별 190
 
6.9%
시 190
 
6.9%
울 190
 
6.9%
층 158
 
5.7%
Other values (91) 838
30.4%
Common
ValueCountFrequency (%)
913
42.8%
1 213
 
10.0%
2 182
 
8.5%
- 122
 
5.7%
( 110
 
5.2%
) 110
 
5.2%
3 104
 
4.9%
4 85
 
4.0%
7 58
 
2.7%
5 54
 
2.5%
Other values (5) 183
 
8.6%
Latin
ValueCountFrequency (%)
B 2
50.0%
k 1
25.0%
p 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2754
56.3%
ASCII 2138
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
913
42.7%
1 213
 
10.0%
2 182
 
8.5%
- 122
 
5.7%
( 110
 
5.1%
) 110
 
5.1%
3 104
 
4.9%
4 85
 
4.0%
7 58
 
2.7%
5 54
 
2.5%
Other values (8) 187
 
8.7%
Hangul
ValueCountFrequency (%)
종 211
 
7.7%
로 211
 
7.7%
구 194
 
7.0%
서 191
 
6.9%
지 191
 
6.9%
특 190
 
6.9%
별 190
 
6.9%
시 190
 
6.9%
울 190
 
6.9%
층 158
 
5.7%
Other values (91) 838
30.4%

도로명주소
Text

MISSING 

Distinct186
Distinct (%)97.9%
Missing5
Missing (%)2.6%
Memory size1.7 KiB
2024-05-11T15:24:57.183053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length29.189474
Min length22

Characters and Unicode

Total characters5546
Distinct characters149
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

Unique182 ?
Unique (%)95.8%

Sample

1st row서울특별시 종로구 삼일대로20길 17 (관수동, 삼봉빌딩)
2nd row서울특별시 종로구 삼일대로17길 8 (관철동,(4층))
3rd row서울특별시 종로구 창경궁로 133 (원남동,(2층))
4th row서울특별시 종로구 성균관로 13 (명륜2가,(2층))
5th row서울특별시 종로구 수표로 125 (낙원동)
ValueCountFrequency (%)
서울특별시 190
 
17.9%
종로구 190
 
17.9%
종로 45
 
4.2%
창신동 33
 
3.1%
2층 25
 
2.4%
숭인동 17
 
1.6%
지하1층 14
 
1.3%
1층 13
 
1.2%
창신길 12
 
1.1%
성균관로 12
 
1.1%
Other values (308) 512
48.2%
2024-05-11T15:24:58.327656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
933
 
16.8%
로 366
 
6.6%
종 277
 
5.0%
) 257
 
4.6%
( 257
 
4.6%
구 194
 
3.5%
서 192
 
3.5%
시 190
 
3.4%
특 190
 
3.4%
울 190
 
3.4%
Other values (139) 2500
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3116
56.2%
Space Separator 933
 
16.8%
Decimal Number 767
 
13.8%
Close Punctuation 257
 
4.6%
Open Punctuation 257
 
4.6%
Other Punctuation 176
 
3.2%
Dash Punctuation 38
 
0.7%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 366
 
11.7%
종 277
 
8.9%
구 194
 
6.2%
서 192
 
6.2%
시 190
 
6.1%
특 190
 
6.1%
울 190
 
6.1%
별 190
 
6.1%
동 155
 
5.0%
층 141
 
4.5%
Other values (121) 1031
33.1%
Decimal Number
ValueCountFrequency (%)
2 176
22.9%
1 161
21.0%
3 118
15.4%
4 73
9.5%
5 56
 
7.3%
9 46
 
6.0%
6 44
 
5.7%
0 37
 
4.8%
8 29
 
3.8%
7 27
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 175
99.4%
. 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
933
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3116
56.2%
Common 2428
43.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 366
 
11.7%
종 277
 
8.9%
구 194
 
6.2%
서 192
 
6.2%
시 190
 
6.1%
특 190
 
6.1%
울 190
 
6.1%
별 190
 
6.1%
동 155
 
5.0%
층 141
 
4.5%
Other values (121) 1031
33.1%
Common
ValueCountFrequency (%)
933
38.4%
) 257
 
10.6%
( 257
 
10.6%
2 176
 
7.2%
, 175
 
7.2%
1 161
 
6.6%
3 118
 
4.9%
4 73
 
3.0%
5 56
 
2.3%
9 46
 
1.9%
Other values (6) 176
 
7.2%
Latin
ValueCountFrequency (%)
k 1
50.0%
p 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3116
56.2%
ASCII 2430
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
933
38.4%
) 257
 
10.6%
( 257
 
10.6%
2 176
 
7.2%
, 175
 
7.2%
1 161
 
6.6%
3 118
 
4.9%
4 73
 
3.0%
5 56
 
2.3%
9 46
 
1.9%
Other values (8) 178
 
7.3%
Hangul
ValueCountFrequency (%)
로 366
 
11.7%
종 277
 
8.9%
구 194
 
6.2%
서 192
 
6.2%
시 190
 
6.1%
특 190
 
6.1%
울 190
 
6.1%
별 190
 
6.1%
동 155
 
5.0%
층 141
 
4.5%
Other values (121) 1031
33.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)50.0%
Missing79
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean15167.948
Minimum3007
Maximum110861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:24:58.674099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3007
5-th percentile3016
Q13079
median3112
Q33180.25
95-th percentile110831.75
Maximum110861
Range107854
Interquartile range (IQR)101.25

Descriptive statistics

Standard deviation34091.609
Coefficient of variation (CV)2.2476085
Kurtosis4.2830753
Mean15167.948
Median Absolute Deviation (MAD)38
Skewness2.4918784
Sum1759482
Variance1.1622378 × 109
MonotonicityNot monotonic
2024-05-11T15:24:58.989411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3106 6
 
3.1%
3112 6
 
3.1%
3190 6
 
3.1%
3189 5
 
2.6%
3119 5
 
2.6%
3104 5
 
2.6%
3030 4
 
2.1%
3140 4
 
2.1%
3139 4
 
2.1%
3111 3
 
1.5%
Other values (48) 68
34.9%
(Missing) 79
40.5%
ValueCountFrequency (%)
3007 2
1.0%
3008 1
 
0.5%
3012 2
1.0%
3013 1
 
0.5%
3017 1
 
0.5%
3030 4
2.1%
3040 2
1.0%
3041 2
1.0%
3044 1
 
0.5%
3064 1
 
0.5%
ValueCountFrequency (%)
110861 1
0.5%
110854 1
0.5%
110842 2
1.0%
110840 2
1.0%
110829 1
0.5%
110828 1
0.5%
110825 1
0.5%
110542 1
0.5%
110540 1
0.5%
110320 2
1.0%

사업장명
Text

Distinct179
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T15:24:59.564273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length6.3179487
Min length1

Characters and Unicode

Total characters1232
Distinct characters240
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

Unique167 ?
Unique (%)85.6%

Sample

1st row사이버파크
2nd row로하스
3rd row여기가
4th row큐브존
5th row늑대와여우
ValueCountFrequency (%)
pc방 19
 
7.3%
pc 17
 
6.6%
3pop 5
 
1.9%
유비트pc방 4
 
1.5%
제노pc방 3
 
1.2%
pc카페 2
 
0.8%
프리미엄 2
 
0.8%
네오젠pc방 2
 
0.8%
one 2
 
0.8%
레벨업 2
 
0.8%
Other values (186) 201
77.6%
2024-05-11T15:25:00.611857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 148
 
12.0%
C 141
 
11.4%
방 116
 
9.4%
64
 
5.2%
이 34
 
2.8%
스 34
 
2.8%
c 18
 
1.5%
p 18
 
1.5%
피 15
 
1.2%
사 14
 
1.1%
Other values (230) 630
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 736
59.7%
Uppercase Letter 338
27.4%
Lowercase Letter 72
 
5.8%
Space Separator 64
 
5.2%
Decimal Number 13
 
1.1%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 116
 
15.8%
이 34
 
4.6%
스 34
 
4.6%
피 15
 
2.0%
사 14
 
1.9%
아 13
 
1.8%
존 13
 
1.8%
점 11
 
1.5%
버 11
 
1.5%
터 11
 
1.5%
Other values (185) 464
63.0%
Uppercase Letter
ValueCountFrequency (%)
P 148
43.8%
C 141
41.7%
O 9
 
2.7%
E 8
 
2.4%
N 5
 
1.5%
T 4
 
1.2%
X 3
 
0.9%
M 3
 
0.9%
Z 3
 
0.9%
A 2
 
0.6%
Other values (8) 12
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
c 18
25.0%
p 18
25.0%
e 9
12.5%
o 4
 
5.6%
s 4
 
5.6%
l 3
 
4.2%
n 3
 
4.2%
a 3
 
4.2%
i 2
 
2.8%
y 1
 
1.4%
Other values (7) 7
 
9.7%
Decimal Number
ValueCountFrequency (%)
3 7
53.8%
8 2
 
15.4%
2 2
 
15.4%
1 2
 
15.4%
Other Punctuation
ValueCountFrequency (%)
% 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 736
59.7%
Latin 410
33.3%
Common 86
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 116
 
15.8%
이 34
 
4.6%
스 34
 
4.6%
피 15
 
2.0%
사 14
 
1.9%
아 13
 
1.8%
존 13
 
1.8%
점 11
 
1.5%
버 11
 
1.5%
터 11
 
1.5%
Other values (185) 464
63.0%
Latin
ValueCountFrequency (%)
P 148
36.1%
C 141
34.4%
c 18
 
4.4%
p 18
 
4.4%
e 9
 
2.2%
O 9
 
2.2%
E 8
 
2.0%
N 5
 
1.2%
o 4
 
1.0%
s 4
 
1.0%
Other values (25) 46
 
11.2%
Common
ValueCountFrequency (%)
64
74.4%
3 7
 
8.1%
( 3
 
3.5%
) 3
 
3.5%
8 2
 
2.3%
2 2
 
2.3%
1 2
 
2.3%
- 1
 
1.2%
% 1
 
1.2%
. 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 736
59.7%
ASCII 496
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 148
29.8%
C 141
28.4%
64
12.9%
c 18
 
3.6%
p 18
 
3.6%
e 9
 
1.8%
O 9
 
1.8%
E 8
 
1.6%
3 7
 
1.4%
N 5
 
1.0%
Other values (35) 69
13.9%
Hangul
ValueCountFrequency (%)
방 116
 
15.8%
이 34
 
4.6%
스 34
 
4.6%
피 15
 
2.0%
사 14
 
1.9%
아 13
 
1.8%
존 13
 
1.8%
점 11
 
1.5%
버 11
 
1.5%
터 11
 
1.5%
Other values (185) 464
63.0%

최종수정일자
Date

Distinct194
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2008-07-09 13:14:50
Maximum2024-04-18 09:12:47
2024-05-11T15:25:00.953708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:25:01.234625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
133 
U
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 133
68.2%
U 62
31.8%

Length

2024-05-11T15:25:01.505333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:01.764610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 133
68.2%
u 62
31.8%

데이터갱신일자
Date

Distinct44
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:00:00
2024-05-11T15:25:02.044049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:25:02.333462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)90.6%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean199787.08
Minimum196132.75
Maximum201909.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:02.666445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196132.75
5-th percentile196362.75
Q1198869.34
median199939.09
Q3200957.99
95-th percentile201849.62
Maximum201909.77
Range5777.0204
Interquartile range (IQR)2088.6478

Descriptive statistics

Standard deviation1605.1028
Coefficient of variation (CV)0.0080340671
Kurtosis-0.33325995
Mean199787.08
Median Absolute Deviation (MAD)1023.06
Skewness-0.70579665
Sum38159332
Variance2576355.1
MonotonicityNot monotonic
2024-05-11T15:25:02.974683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199769.96511678 2
 
1.0%
200953.828986465 2
 
1.0%
197411.165595466 2
 
1.0%
200013.660313627 2
 
1.0%
200917.607941425 2
 
1.0%
200628.317746734 2
 
1.0%
201792.28928117 2
 
1.0%
198930.116728102 2
 
1.0%
201223.533789596 2
 
1.0%
196216.695084581 2
 
1.0%
Other values (163) 171
87.7%
(Missing) 4
 
2.1%
ValueCountFrequency (%)
196132.751817734 1
0.5%
196156.927737704 1
0.5%
196206.103393952 2
1.0%
196216.695084581 2
1.0%
196261.784318902 1
0.5%
196278.554670262 1
0.5%
196285.053923933 1
0.5%
196357.524594809 1
0.5%
196367.983857083 1
0.5%
196377.526734114 1
0.5%
ValueCountFrequency (%)
201909.772206626 1
0.5%
201893.686003164 1
0.5%
201887.130811999 1
0.5%
201875.881162742 2
1.0%
201875.544322501 1
0.5%
201868.251816014 1
0.5%
201864.906343391 1
0.5%
201861.737848335 1
0.5%
201856.057882339 1
0.5%
201843.179937827 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)90.6%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean452636.09
Minimum451580.2
Maximum456071.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:03.286037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451580.2
5-th percentile451890.97
Q1452115.46
median452371.73
Q3452743.72
95-th percentile454112
Maximum456071.62
Range4491.4238
Interquartile range (IQR)628.26477

Descriptive statistics

Standard deviation896.98752
Coefficient of variation (CV)0.0019816969
Kurtosis5.5760148
Mean452636.09
Median Absolute Deviation (MAD)262.75345
Skewness2.3027988
Sum86453494
Variance804586.62
MonotonicityNot monotonic
2024-05-11T15:25:03.549072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453520.42735819 2
 
1.0%
452218.574010911 2
 
1.0%
452864.962932176 2
 
1.0%
453450.695152508 2
 
1.0%
452126.501667127 2
 
1.0%
452115.081707861 2
 
1.0%
452524.936664782 2
 
1.0%
452214.822827278 2
 
1.0%
452304.752922139 2
 
1.0%
452495.361879798 2
 
1.0%
Other values (163) 171
87.7%
(Missing) 4
 
2.1%
ValueCountFrequency (%)
451580.195594285 1
0.5%
451682.368379486 1
0.5%
451852.05285101 1
0.5%
451865.494241718 2
1.0%
451867.155605848 1
0.5%
451869.596952219 1
0.5%
451873.640046886 1
0.5%
451874.997658811 1
0.5%
451887.51214766 1
0.5%
451894.417903593 1
0.5%
ValueCountFrequency (%)
456071.619358607 1
0.5%
456061.273724198 1
0.5%
456053.759563793 1
0.5%
456007.528701216 1
0.5%
455970.888515918 1
0.5%
455869.049851389 1
0.5%
455841.319603497 1
0.5%
455283.308633231 1
0.5%
455254.32310714 1
0.5%
454119.458644027 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
인터넷컴퓨터게임시설제공업
163 
<NA>
32 

Length

Max length13
Median length13
Mean length11.523077
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 163
83.6%
<NA> 32
 
16.4%

Length

2024-05-11T15:25:03.843916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:04.071248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 163
83.6%
na 32
 
16.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
유통관련업
163 
<NA>
32 

Length

Max length5
Median length5
Mean length4.8358974
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 163
83.6%
<NA> 32
 
16.4%

Length

2024-05-11T15:25:04.307596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:04.492510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 163
83.6%
na 32
 
16.4%

총층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)11.2%
Missing106
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean4.4382022
Minimum0
Maximum10
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:05.146813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q14
median5
Q35
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7448304
Coefficient of variation (CV)0.393139
Kurtosis0.73246891
Mean4.4382022
Median Absolute Deviation (MAD)1
Skewness0.046645347
Sum395
Variance3.0444331
MonotonicityNot monotonic
2024-05-11T15:25:05.343939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 25
 
12.8%
4 21
 
10.8%
6 14
 
7.2%
3 9
 
4.6%
2 8
 
4.1%
1 4
 
2.1%
8 3
 
1.5%
7 3
 
1.5%
10 1
 
0.5%
0 1
 
0.5%
(Missing) 106
54.4%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.1%
2 8
 
4.1%
3 9
 
4.6%
4 21
10.8%
5 25
12.8%
6 14
7.2%
7 3
 
1.5%
8 3
 
1.5%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
8 3
 
1.5%
7 3
 
1.5%
6 14
7.2%
5 25
12.8%
4 21
10.8%
3 9
 
4.6%
2 8
 
4.1%
1 4
 
2.1%
0 1
 
0.5%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
187 
기타
 
6
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.9794872
Min length2

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> 187
95.9%
기타 6
 
3.1%
학교정화(상대) 2
 
1.0%

Length

2024-05-11T15:25:05.583517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:05.793642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
95.9%
기타 6
 
3.1%
학교정화(상대 2
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct153
Distinct (%)93.9%
Missing32
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean138.50871
Minimum11
Maximum575.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:06.020746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34.008
Q179.66
median127.47
Q3173.38
95-th percentile251.301
Maximum575.2
Range564.2
Interquartile range (IQR)93.72

Descriptive statistics

Standard deviation91.070075
Coefficient of variation (CV)0.65750431
Kurtosis6.4827294
Mean138.50871
Median Absolute Deviation (MAD)48.13
Skewness2.040543
Sum22576.92
Variance8293.7585
MonotonicityNot monotonic
2024-05-11T15:25:06.346609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.71 2
 
1.0%
104.73 2
 
1.0%
198.0 2
 
1.0%
66.0 2
 
1.0%
133.12 2
 
1.0%
198.38 2
 
1.0%
33.93 2
 
1.0%
81.33 2
 
1.0%
85.95 2
 
1.0%
93.1 2
 
1.0%
Other values (143) 143
73.3%
(Missing) 32
 
16.4%
ValueCountFrequency (%)
11.0 1
0.5%
12.43 1
0.5%
16.52 1
0.5%
24.0 1
0.5%
26.0 1
0.5%
30.0 1
0.5%
33.12 1
0.5%
33.93 2
1.0%
34.71 2
1.0%
37.88 1
0.5%
ValueCountFrequency (%)
575.2 1
0.5%
537.28 1
0.5%
490.67 1
0.5%
450.45 1
0.5%
416.62 1
0.5%
392.03 1
0.5%
314.64 1
0.5%
260.0 1
0.5%
251.49 1
0.5%
249.6 1
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)9.1%
Missing129
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean2.1515152
Minimum0
Maximum5
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:06.594584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.93220044
Coefficient of variation (CV)0.43327626
Kurtosis1.2967557
Mean2.1515152
Median Absolute Deviation (MAD)1
Skewness0.62858909
Sum142
Variance0.86899767
MonotonicityNot monotonic
2024-05-11T15:25:06.821799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 30
 
15.4%
3 18
 
9.2%
1 14
 
7.2%
5 2
 
1.0%
4 1
 
0.5%
0 1
 
0.5%
(Missing) 129
66.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 14
7.2%
2 30
15.4%
3 18
9.2%
4 1
 
0.5%
5 2
 
1.0%
ValueCountFrequency (%)
5 2
 
1.0%
4 1
 
0.5%
3 18
9.2%
2 30
15.4%
1 14
7.2%
0 1
 
0.5%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
168 
1
26 
0
 
1

Length

Max length4
Median length4
Mean length3.5846154
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 168
86.2%
1 26
 
13.3%
0 1
 
0.5%

Length

2024-05-11T15:25:07.080057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:07.390204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 168
86.2%
1 26
 
13.3%
0 1
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
119 
근린생활시설
66 
사무실
 
5
다중주택(공동주택적용)
 
2
기타
 
2

Length

Max length12
Median length4
Mean length4.7230769
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 119
61.0%
근린생활시설 66
33.8%
사무실 5
 
2.6%
다중주택(공동주택적용) 2
 
1.0%
기타 2
 
1.0%
환경위생시설 1
 
0.5%

Length

2024-05-11T15:25:07.596661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:07.794587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
61.0%
근린생활시설 66
33.8%
사무실 5
 
2.6%
다중주택(공동주택적용 2
 
1.0%
기타 2
 
1.0%
환경위생시설 1
 
0.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
194 
0
 
1

Length

Max length4
Median length4
Mean length3.9846154
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 194
99.5%
0 1
 
0.5%

Length

2024-05-11T15:25:08.036682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:08.244261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
99.5%
0 1
 
0.5%

조명시설조도
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)7.1%
Missing83
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean50.79375
Minimum0
Maximum75.9
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:08.451492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q150
median50
Q350
95-th percentile60
Maximum75.9
Range75.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.1920889
Coefficient of variation (CV)0.16128144
Kurtosis13.232726
Mean50.79375
Median Absolute Deviation (MAD)0
Skewness-1.6678617
Sum5688.9
Variance67.110321
MonotonicityNot monotonic
2024-05-11T15:25:08.769502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50.0 71
36.4%
60.0 17
 
8.7%
40.0 14
 
7.2%
55.0 5
 
2.6%
70.0 2
 
1.0%
75.9 1
 
0.5%
68.0 1
 
0.5%
0.0 1
 
0.5%
(Missing) 83
42.6%
ValueCountFrequency (%)
0.0 1
 
0.5%
40.0 14
 
7.2%
50.0 71
36.4%
55.0 5
 
2.6%
60.0 17
 
8.7%
68.0 1
 
0.5%
70.0 2
 
1.0%
75.9 1
 
0.5%
ValueCountFrequency (%)
75.9 1
 
0.5%
70.0 2
 
1.0%
68.0 1
 
0.5%
60.0 17
 
8.7%
55.0 5
 
2.6%
50.0 71
36.4%
40.0 14
 
7.2%
0.0 1
 
0.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
194 
0
 
1

Length

Max length4
Median length4
Mean length3.9846154
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 194
99.5%
0 1
 
0.5%

Length

2024-05-11T15:25:09.067703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:09.254841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
99.5%
0 1
 
0.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
194 
0
 
1

Length

Max length4
Median length4
Mean length3.9846154
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 194
99.5%
0 1
 
0.5%

Length

2024-05-11T15:25:09.494311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:09.767398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
99.5%
0 1
 
0.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)43.4%
Missing36
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean47.704403
Minimum5
Maximum219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:25:10.010293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q130
median45
Q360
95-th percentile90.4
Maximum219
Range214
Interquartile range (IQR)30

Descriptive statistics

Standard deviation32.485158
Coefficient of variation (CV)0.68096771
Kurtosis9.7855377
Mean47.704403
Median Absolute Deviation (MAD)15
Skewness2.3545772
Sum7585
Variance1055.2855
MonotonicityNot monotonic
2024-05-11T15:25:10.293866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 13
 
6.7%
10 7
 
3.6%
30 7
 
3.6%
50 6
 
3.1%
70 5
 
2.6%
44 5
 
2.6%
49 5
 
2.6%
55 4
 
2.1%
20 4
 
2.1%
7 4
 
2.1%
Other values (59) 99
50.8%
(Missing) 36
 
18.5%
ValueCountFrequency (%)
5 1
 
0.5%
6 1
 
0.5%
7 4
2.1%
8 3
1.5%
9 3
1.5%
10 7
3.6%
11 3
1.5%
12 1
 
0.5%
15 2
 
1.0%
16 1
 
0.5%
ValueCountFrequency (%)
219 1
0.5%
217 1
0.5%
177 1
0.5%
141 1
0.5%
120 1
0.5%
117 1
0.5%
95 1
0.5%
94 1
0.5%
90 1
0.5%
89 1
0.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
180 
전체이용가
 
15

Length

Max length5
Median length4
Mean length4.0769231
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> 180
92.3%
전체이용가 15
 
7.7%

Length

2024-05-11T15:25:10.591119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:25:10.780027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
92.3%
전체이용가 15
 
7.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing191
Missing (%)97.9%
Memory size1.7 KiB
2024-05-11T15:25:11.021200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row근린상업지역
2nd row일반상업지역
3rd row일반상업지역
4th row상업지역
ValueCountFrequency (%)
일반상업지역 2
50.0%
근린상업지역 1
25.0%
상업지역 1
25.0%
2024-05-11T15:25:11.595076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 4
18.2%
업 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
근 1
 
4.5%
린 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF224102200700000120070806<NA>4취소/말소/만료/정지/중지35직권말소20200624<NA><NA><NA><NA><NA><NA>서울특별시 종로구 관수동 3-3번지 (3층)서울특별시 종로구 삼일대로20길 17 (관수동, 삼봉빌딩)3191사이버파크2020-06-24 17:08:05U2020-06-26 02:40:00.0<NA>198947.116817451941.362138인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>144.63<NA><NA><NA><NA>70.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>53<NA><NA><NA><NA><NA><NA>
13000000CDFF224102200700000220070806<NA>3폐업3폐업20131111<NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 7-5번지 (4층)서울특별시 종로구 삼일대로17길 8 (관철동,(4층))<NA>로하스2013-11-11 17:30:01I2018-08-31 23:59:59.0<NA>198797.140044451887.512148인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>249.6<NA><NA><NA><NA>70.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>69<NA><NA><NA><NA><NA><NA>
23000000CDFF224102200700000320070813<NA>4취소/말소/만료/정지/중지35직권말소20090330<NA><NA><NA><NA><NA>110450서울특별시 종로구 원남동 282번지 (2층)서울특별시 종로구 창경궁로 133 (원남동,(2층))<NA>여기가2009-03-31 08:57:01I2018-08-31 23:59:59.0<NA>199689.745659452449.278783인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>76.23<NA><NA><NA><NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFF224102200700000420070905<NA>4취소/말소/만료/정지/중지35직권말소20150529<NA><NA><NA>747-1444<NA><NA>서울특별시 종로구 명륜2가 222번지 (2층)서울특별시 종로구 성균관로 13 (명륜2가,(2층))<NA>큐브존2015-05-29 09:19:40I2018-08-31 23:59:59.0<NA>199728.673729453507.318524인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>124.77<NA><NA><NA><NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>62<NA><NA><NA><NA><NA><NA>
43000000CDFF224102200700000520070911<NA>4취소/말소/만료/정지/중지35직권말소20200624<NA><NA><NA>764-7450<NA><NA>서울특별시 종로구 낙원동 235-5번지 (3층)서울특별시 종로구 수표로 125 (낙원동)3140늑대와여우2020-06-24 17:09:03U2020-06-26 02:40:00.0<NA>198922.187722452227.067734인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>189.19<NA><NA><NA><NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56<NA><NA><NA><NA><NA><NA>
53000000CDFF224102200700000620070917<NA>3폐업3폐업20110523<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 302-5번지 (2층)서울특별시 종로구 종로 333 (창신동,(2층))<NA>이네이처2011-05-23 13:46:38I2018-08-31 23:59:59.0<NA>201212.302034452290.813436인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>134.24<NA><NA><NA><NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA><NA><NA><NA><NA><NA>
63000000CDFF224102200700000720071016<NA>3폐업3폐업20091111<NA><NA><NA>3675-5749<NA><NA>서울특별시 종로구 창신동 567번지 (2,3층)서울특별시 종로구 창신길 12 (창신동,(2,3층))<NA>게토2009-11-11 17:51:47I2018-08-31 23:59:59.0<NA>200873.996485452206.310125인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>81.33<NA><NA>근린생활시설<NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38<NA><NA><NA><NA><NA><NA>
73000000CDFF224102200700000820071017<NA>1영업/정상13영업중<NA><NA><NA><NA>2138-1234<NA><NA>서울특별시 종로구 숭인동 1412번지 (3층)서울특별시 종로구 종로66길 13 (숭인동)3116사이버존PC방2015-08-03 14:40:46I2018-08-31 23:59:59.0<NA>201875.881163452437.940797인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>104.13<NA><NA>근린생활시설<NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>55<NA><NA><NA><NA><NA><NA>
83000000CDFF224102200700000920071102<NA>4취소/말소/만료/정지/중지35직권말소20150526<NA><NA><NA>720-7182<NA><NA>서울특별시 종로구 관철동 12-13번지 (8층)서울특별시 종로구 종로12길 23 (관철동,(8층))<NA>사이버넷2015-05-26 13:29:31I2018-08-31 23:59:59.0<NA>198686.190852451852.052851인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>182.74<NA><NA><NA><NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>55<NA><NA><NA><NA><NA><NA>
93000000CDFF224102200700001020071105<NA>3폐업3폐업20140310<NA><NA><NA><NA><NA>110825서울특별시 종로구 숭인동 201-7번지 (2층)서울특별시 종로구 난계로29길 31 (숭인동,(2층))<NA>PC STORY2014-03-10 15:47:35I2018-08-31 23:59:59.0<NA>201829.035796452406.94352인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>215.32<NA><NA><NA><NA>60.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1853000000CDFF22410220190000092019-05-24<NA>3폐업3폐업2024-03-22<NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 7-11 예지빌딩서울특별시 종로구 종로14길 19, 예지빌딩 4층 (관철동)3190오셀롯pc 종로관철점2024-03-22 15:52:43U2023-12-02 22:04:00.0<NA>198786.901723451865.494242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1863000000CDFF224102201900001120191231<NA>3폐업3폐업20220530<NA><NA><NA><NA><NA><NA>서울특별시 종로구 무악동 42-2서울특별시 종로구 통일로 250, 지하1층 (무악동)3030도깨비PC방2022-05-30 10:14:03U2021-12-06 00:03:00.0<NA>196216.695085452495.36188<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1873000000CDFF224102201900001220190923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 돈의동 41-1서울특별시 종로구 돈화문로11길 23, 지하1층 (돈의동)3139탑 플레이스2022-06-07 13:37:31U2021-12-06 00:09:00.0<NA>199055.237303452227.007536<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1883000000CDFF224102202000000120201029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 12-18 원산빌딩서울특별시 종로구 삼일대로17길 19, 원산빌딩 2층 (관철동)3190아이센스리그PC 종각점2020-10-29 17:27:07I2020-11-17 00:23:09.0<NA>198719.974621451867.155606인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>251.49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85<NA>전체이용가<NA><NA><NA><NA>
1893000000CDFF22410220220000012022-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 510서울특별시 종로구 종로 308-1, 3층 (창신동)3119우림게임장 PC2024-02-05 14:28:47U2023-12-02 00:07:00.0<NA>200995.269706452163.561111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1903000000CDFF22410220230000012023-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로2가 84-9 대한성서공회 종로회관서울특별시 종로구 종로 66, 대한성서공회 종로회관 3층 (종로2가)3189포탈 스페이스2023-05-25 16:11:19I2022-12-04 22:07:00.0<NA>198578.041924451963.44156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1913000000CDFF22410220230000022023-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로4가 10서울특별시 종로구 종로 191, 2층 (종로4가)3130행운PC2023-07-24 17:11:15I2022-12-06 22:06:00.0<NA>199842.308557452090.306419<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1923000000CDFF22410220230000032023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 207-32 숭인동 청년주택서울특별시 종로구 난계로29길 55, 숭인동 청년주택 2층 (숭인동)3115신설PC2023-08-04 13:46:50I2022-12-08 00:06:00.0<NA>201712.855211452371.734483<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1933000000CDFF22410220240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 45-1 대왕빌딩서울특별시 종로구 우정국로2길 21, 대왕빌딩 지하1층 (관철동)3189옵티멈존 PC카페 종각역점2024-01-16 08:31:48I2023-11-30 23:08:00.0<NA>198541.720754451935.633975<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1943000000CDFF22410220240000022024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 7-11 예지빌딩서울특별시 종로구 종로14길 19, 예지빌딩 4층 (관철동)3190옵티멈존PC카페 종각2호점2024-04-18 09:12:47I2023-12-03 22:00:00.0<NA>198786.901723451865.494242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>