Overview

Dataset statistics

Number of variables56
Number of observations568
Missing cells14771
Missing cells (%)46.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory269.2 KiB
Average record size in memory485.2 B

Variable types

Categorical17
Text6
DateTime4
Numeric9
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16780/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (74.0%)Imbalance
문화사업자구분명 is highly imbalanced (74.0%)Imbalance
주변환경명 is highly imbalanced (64.1%)Imbalance
지하층수 is highly imbalanced (51.4%)Imbalance
통로너비 is highly imbalanced (96.6%)Imbalance
조명시설조도 is highly imbalanced (95.7%)Imbalance
노래방실수 is highly imbalanced (96.6%)Imbalance
청소년실수 is highly imbalanced (96.6%)Imbalance
제공게임물명 is highly imbalanced (65.2%)Imbalance
지역구분명 is highly imbalanced (87.5%)Imbalance
인허가취소일자 has 557 (98.1%) missing valuesMissing
폐업일자 has 53 (9.3%) missing valuesMissing
휴업시작일자 has 568 (100.0%) missing valuesMissing
휴업종료일자 has 568 (100.0%) missing valuesMissing
재개업일자 has 568 (100.0%) missing valuesMissing
전화번호 has 239 (42.1%) missing valuesMissing
소재지면적 has 568 (100.0%) missing valuesMissing
소재지우편번호 has 524 (92.3%) missing valuesMissing
도로명주소 has 52 (9.2%) missing valuesMissing
도로명우편번호 has 186 (32.7%) missing valuesMissing
업태구분명 has 568 (100.0%) missing valuesMissing
좌표정보(X) has 33 (5.8%) missing valuesMissing
좌표정보(Y) has 33 (5.8%) missing valuesMissing
총층수 has 321 (56.5%) missing valuesMissing
제작취급품목내용 has 561 (98.8%) missing valuesMissing
시설면적 has 38 (6.7%) missing valuesMissing
지상층수 has 322 (56.7%) missing valuesMissing
비상계단여부 has 568 (100.0%) missing valuesMissing
비상구여부 has 568 (100.0%) missing valuesMissing
자동환기여부 has 568 (100.0%) missing valuesMissing
청소년실여부 has 568 (100.0%) missing valuesMissing
특수조명여부 has 568 (100.0%) missing valuesMissing
방음시설여부 has 568 (100.0%) missing valuesMissing
비디오재생기명 has 568 (100.0%) missing valuesMissing
조명시설유무 has 568 (100.0%) missing valuesMissing
음향시설여부 has 568 (100.0%) missing valuesMissing
편의시설여부 has 568 (100.0%) missing valuesMissing
소방시설여부 has 568 (100.0%) missing valuesMissing
총게임기수 has 492 (86.6%) missing valuesMissing
기존게임업외업종명 has 568 (100.0%) missing valuesMissing
공연장형태구분명 has 568 (100.0%) missing valuesMissing
품목명 has 568 (100.0%) missing valuesMissing
최초등록시점 has 568 (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
총층수 has 218 (38.4%) zerosZeros
시설면적 has 312 (54.9%) zerosZeros
지상층수 has 218 (38.4%) zerosZeros

Reproduction

Analysis started2024-05-11 08:11:36.050948
Analysis finished2024-05-11 08:11:38.065635
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
3130000
568 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 568
100.0%

Length

2024-05-11T08:11:38.298016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:11:38.667076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 568
100.0%

관리번호
Text

UNIQUE 

Distinct568
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T08:11:39.285197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters11360
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

Unique568 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021999000027
2nd rowCDFF2241021999000028
3rd rowCDFF2241021999000029
4th rowCDFF2241021999000030
5th rowCDFF2241021999000031
ValueCountFrequency (%)
cdff2241021999000027 1
 
0.2%
cdff2241022008000063 1
 
0.2%
cdff2241022008000065 1
 
0.2%
cdff2241022008000058 1
 
0.2%
cdff2241022008000059 1
 
0.2%
cdff2241022008000060 1
 
0.2%
cdff2241022008000061 1
 
0.2%
cdff2241022008000062 1
 
0.2%
cdff2241022008000056 1
 
0.2%
cdff2241022008000054 1
 
0.2%
Other values (558) 558
98.2%
2024-05-11T08:11:40.391745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3947
34.7%
2 2362
20.8%
F 1136
 
10.0%
1 1097
 
9.7%
4 700
 
6.2%
C 568
 
5.0%
D 568
 
5.0%
9 297
 
2.6%
8 188
 
1.7%
7 160
 
1.4%
Other values (3) 337
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9088
80.0%
Uppercase Letter 2272
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3947
43.4%
2 2362
26.0%
1 1097
 
12.1%
4 700
 
7.7%
9 297
 
3.3%
8 188
 
2.1%
7 160
 
1.8%
3 134
 
1.5%
6 102
 
1.1%
5 101
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 1136
50.0%
C 568
25.0%
D 568
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9088
80.0%
Latin 2272
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3947
43.4%
2 2362
26.0%
1 1097
 
12.1%
4 700
 
7.7%
9 297
 
3.3%
8 188
 
2.1%
7 160
 
1.8%
3 134
 
1.5%
6 102
 
1.1%
5 101
 
1.1%
Latin
ValueCountFrequency (%)
F 1136
50.0%
C 568
25.0%
D 568
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3947
34.7%
2 2362
20.8%
F 1136
 
10.0%
1 1097
 
9.7%
4 700
 
6.2%
C 568
 
5.0%
D 568
 
5.0%
9 297
 
2.6%
8 188
 
1.7%
7 160
 
1.4%
Other values (3) 337
 
3.0%

인허가일자
Date

Distinct327
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum1999-10-27 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T08:11:41.007985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:11:41.612084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing557
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean20101596
Minimum20080421
Maximum20120522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:11:42.045837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080421
5-th percentile20085762
Q120100460
median20100802
Q320105818
95-th percentile20115474
Maximum20120522
Range40101
Interquartile range (IQR)5358

Descriptive statistics

Standard deviation10378.625
Coefficient of variation (CV)0.0005163085
Kurtosis1.4211088
Mean20101596
Median Absolute Deviation (MAD)491
Skewness-0.27310067
Sum2.2111756 × 108
Variance1.0771586 × 108
MonotonicityNot monotonic
2024-05-11T08:11:42.571467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20110427 2
 
0.4%
20080421 1
 
0.2%
20120522 1
 
0.2%
20100311 1
 
0.2%
20101208 1
 
0.2%
20100707 1
 
0.2%
20100608 1
 
0.2%
20091104 1
 
0.2%
20100802 1
 
0.2%
20101021 1
 
0.2%
(Missing) 557
98.1%
ValueCountFrequency (%)
20080421 1
0.2%
20091104 1
0.2%
20100311 1
0.2%
20100608 1
0.2%
20100707 1
0.2%
20100802 1
0.2%
20101021 1
0.2%
20101208 1
0.2%
20110427 2
0.4%
20120522 1
0.2%
ValueCountFrequency (%)
20120522 1
0.2%
20110427 2
0.4%
20101208 1
0.2%
20101021 1
0.2%
20100802 1
0.2%
20100707 1
0.2%
20100608 1
0.2%
20100311 1
0.2%
20091104 1
0.2%
20080421 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
4
316 
3
212 
1
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 316
55.6%
3 212
37.3%
1 40
 
7.0%

Length

2024-05-11T08:11:43.191849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:11:43.626426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 316
55.6%
3 212
37.3%
1 40
 
7.0%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
취소/말소/만료/정지/중지
316 
폐업
212 
영업/정상
40 

Length

Max length14
Median length14
Mean length8.8873239
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 316
55.6%
폐업 212
37.3%
영업/정상 40
 
7.0%

Length

2024-05-11T08:11:44.279976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:11:45.132309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 316
55.6%
폐업 212
37.3%
영업/정상 40
 
7.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
35
305 
3
212 
13
40 
31
 
11

Length

Max length2
Median length2
Mean length1.6267606
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
35 305
53.7%
3 212
37.3%
13 40
 
7.0%
31 11
 
1.9%

Length

2024-05-11T08:11:45.859851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:11:46.557743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35 305
53.7%
3 212
37.3%
13 40
 
7.0%
31 11
 
1.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
직권말소
305 
폐업
212 
영업중
40 
등록취소
 
11

Length

Max length4
Median length4
Mean length3.1830986
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직권말소 305
53.7%
폐업 212
37.3%
영업중 40
 
7.0%
등록취소 11
 
1.9%

Length

2024-05-11T08:11:47.349467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:11:48.058598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직권말소 305
53.7%
폐업 212
37.3%
영업중 40
 
7.0%
등록취소 11
 
1.9%

폐업일자
Date

MISSING 

Distinct192
Distinct (%)37.3%
Missing53
Missing (%)9.3%
Memory size4.6 KiB
Minimum2000-04-11 00:00:00
Maximum2024-01-15 00:00:00
2024-05-11T08:11:48.641051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:11:49.256920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

전화번호
Text

MISSING 

Distinct326
Distinct (%)99.1%
Missing239
Missing (%)42.1%
Memory size4.6 KiB
2024-05-11T08:11:50.147586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.2674772
Min length6

Characters and Unicode

Total characters2720
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

Unique323 ?
Unique (%)98.2%

Sample

1st row32737318
2nd row3144-3993
3rd row322-2416
4th row3763848
5th row306-4958
ValueCountFrequency (%)
322-8161 2
 
0.6%
716-4683 2
 
0.6%
713-9595 2
 
0.6%
02-322-4871 1
 
0.3%
02-305-2860 1
 
0.3%
325-9748 1
 
0.3%
3143-0616 1
 
0.3%
325-1540 1
 
0.3%
3327060 1
 
0.3%
3369193 1
 
0.3%
Other values (316) 316
96.0%
2024-05-11T08:11:51.493741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 520
19.1%
2 311
11.4%
7 262
9.6%
- 259
9.5%
1 253
9.3%
4 247
9.1%
0 225
8.3%
6 194
 
7.1%
5 171
 
6.3%
8 154
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2461
90.5%
Dash Punctuation 259
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 520
21.1%
2 311
12.6%
7 262
10.6%
1 253
10.3%
4 247
10.0%
0 225
9.1%
6 194
 
7.9%
5 171
 
6.9%
8 154
 
6.3%
9 124
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 520
19.1%
2 311
11.4%
7 262
9.6%
- 259
9.5%
1 253
9.3%
4 247
9.1%
0 225
8.3%
6 194
 
7.1%
5 171
 
6.3%
8 154
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 520
19.1%
2 311
11.4%
7 262
9.6%
- 259
9.5%
1 253
9.3%
4 247
9.1%
0 225
8.3%
6 194
 
7.1%
5 171
 
6.3%
8 154
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)68.2%
Missing524
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean121794.66
Minimum121050
Maximum121903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:11:51.961048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121050
5-th percentile121316.55
Q1121820
median121837
Q3121865
95-th percentile121888
Maximum121903
Range853
Interquartile range (IQR)45

Descriptive statistics

Standard deviation187.60311
Coefficient of variation (CV)0.001540323
Kurtosis11.25994
Mean121794.66
Median Absolute Deviation (MAD)17.5
Skewness-3.4988389
Sum5358965
Variance35194.928
MonotonicityNot monotonic
2024-05-11T08:11:52.398168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
121837 4
 
0.7%
121807 3
 
0.5%
121820 3
 
0.5%
121827 2
 
0.4%
121865 2
 
0.4%
121817 2
 
0.4%
121821 2
 
0.4%
121888 2
 
0.4%
121826 2
 
0.4%
121873 2
 
0.4%
Other values (20) 20
 
3.5%
(Missing) 524
92.3%
ValueCountFrequency (%)
121050 1
 
0.2%
121080 1
 
0.2%
121230 1
 
0.2%
121807 3
0.5%
121812 1
 
0.2%
121817 2
0.4%
121820 3
0.5%
121821 2
0.4%
121826 2
0.4%
121827 2
0.4%
ValueCountFrequency (%)
121903 1
0.2%
121900 1
0.2%
121888 2
0.4%
121882 1
0.2%
121880 1
0.2%
121876 1
0.2%
121875 1
0.2%
121873 2
0.4%
121865 2
0.4%
121855 1
0.2%

지번주소
Text

Distinct541
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T08:11:53.167249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length25.609155
Min length17

Characters and Unicode

Total characters14546
Distinct characters141
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

Unique516 ?
Unique (%)90.8%

Sample

1st row서울특별시 마포구 신수동 387-3번지 2층
2nd row서울특별시 마포구 창전동 5-73번지 지층
3rd row서울특별시 마포구 망원동 377-18번지 2층
4th row서울특별시 마포구 서교동 346-45번지 2층
5th row서울특별시 마포구 성산동 152-7번지 청화상가2층 204호
ValueCountFrequency (%)
서울특별시 568
20.3%
마포구 568
20.3%
2층 143
 
5.1%
망원동 98
 
3.5%
서교동 98
 
3.5%
3층 69
 
2.5%
지층 66
 
2.4%
지1층 43
 
1.5%
1층 40
 
1.4%
성산동 39
 
1.4%
Other values (592) 1067
38.1%
2024-05-11T08:11:54.171139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2769
19.0%
지 685
 
4.7%
서 669
 
4.6%
동 612
 
4.2%
1 584
 
4.0%
마 574
 
3.9%
포 574
 
3.9%
별 568
 
3.9%
시 568
 
3.9%
특 568
 
3.9%
Other values (131) 6375
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8219
56.5%
Decimal Number 2950
 
20.3%
Space Separator 2769
 
19.0%
Dash Punctuation 544
 
3.7%
Other Punctuation 40
 
0.3%
Uppercase Letter 10
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 685
 
8.3%
서 669
 
8.1%
동 612
 
7.4%
마 574
 
7.0%
포 574
 
7.0%
별 568
 
6.9%
시 568
 
6.9%
특 568
 
6.9%
울 568
 
6.9%
구 568
 
6.9%
Other values (107) 2265
27.6%
Decimal Number
ValueCountFrequency (%)
1 584
19.8%
2 491
16.6%
3 448
15.2%
4 330
11.2%
5 216
 
7.3%
8 200
 
6.8%
6 181
 
6.1%
7 179
 
6.1%
0 167
 
5.7%
9 154
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
60.0%
L 1
 
10.0%
G 1
 
10.0%
J 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 22
55.0%
. 11
27.5%
/ 6
 
15.0%
@ 1
 
2.5%
Space Separator
ValueCountFrequency (%)
2769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 544
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8219
56.5%
Common 6317
43.4%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 685
 
8.3%
서 669
 
8.1%
동 612
 
7.4%
마 574
 
7.0%
포 574
 
7.0%
별 568
 
6.9%
시 568
 
6.9%
특 568
 
6.9%
울 568
 
6.9%
구 568
 
6.9%
Other values (107) 2265
27.6%
Common
ValueCountFrequency (%)
2769
43.8%
1 584
 
9.2%
- 544
 
8.6%
2 491
 
7.8%
3 448
 
7.1%
4 330
 
5.2%
5 216
 
3.4%
8 200
 
3.2%
6 181
 
2.9%
7 179
 
2.8%
Other values (9) 375
 
5.9%
Latin
ValueCountFrequency (%)
B 6
60.0%
L 1
 
10.0%
G 1
 
10.0%
J 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8219
56.5%
ASCII 6327
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2769
43.8%
1 584
 
9.2%
- 544
 
8.6%
2 491
 
7.8%
3 448
 
7.1%
4 330
 
5.2%
5 216
 
3.4%
8 200
 
3.2%
6 181
 
2.9%
7 179
 
2.8%
Other values (14) 385
 
6.1%
Hangul
ValueCountFrequency (%)
지 685
 
8.3%
서 669
 
8.1%
동 612
 
7.4%
마 574
 
7.0%
포 574
 
7.0%
별 568
 
6.9%
시 568
 
6.9%
특 568
 
6.9%
울 568
 
6.9%
구 568
 
6.9%
Other values (107) 2265
27.6%

도로명주소
Text

MISSING 

Distinct500
Distinct (%)96.9%
Missing52
Missing (%)9.2%
Memory size4.6 KiB
2024-05-11T08:11:54.767536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length28.439922
Min length22

Characters and Unicode

Total characters14675
Distinct characters179
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

Unique485 ?
Unique (%)94.0%

Sample

1st row서울특별시 마포구 토정로 216 (신수동)
2nd row서울특별시 마포구 서강로9길 59 (창전동,지층)
3rd row서울특별시 마포구 월드컵로 83 (망원동,2층)
4th row서울특별시 마포구 어울마당로 126 (서교동,2층)
5th row서울특별시 마포구 월드컵북로 224, 204호 (성산동,청화상가2층)
ValueCountFrequency (%)
서울특별시 516
 
18.7%
마포구 516
 
18.7%
포은로 39
 
1.4%
망원동,2층 34
 
1.2%
월드컵로 30
 
1.1%
지하1층 29
 
1.1%
1층 25
 
0.9%
망원동 24
 
0.9%
서교동 24
 
0.9%
월드컵북로 23
 
0.8%
Other values (549) 1493
54.2%
2024-05-11T08:11:55.862693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2348
 
16.0%
서 632
 
4.3%
포 588
 
4.0%
동 584
 
4.0%
마 565
 
3.9%
울 543
 
3.7%
1 533
 
3.6%
) 522
 
3.6%
( 522
 
3.6%
특 516
 
3.5%
Other values (169) 7322
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8723
59.4%
Space Separator 2348
 
16.0%
Decimal Number 1991
 
13.6%
Close Punctuation 522
 
3.6%
Open Punctuation 522
 
3.6%
Other Punctuation 505
 
3.4%
Dash Punctuation 45
 
0.3%
Uppercase Letter 16
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 632
 
7.2%
포 588
 
6.7%
동 584
 
6.7%
마 565
 
6.5%
울 543
 
6.2%
특 516
 
5.9%
별 516
 
5.9%
시 516
 
5.9%
구 516
 
5.9%
로 489
 
5.6%
Other values (146) 3258
37.3%
Decimal Number
ValueCountFrequency (%)
1 533
26.8%
2 402
20.2%
3 231
11.6%
4 175
 
8.8%
6 139
 
7.0%
7 124
 
6.2%
8 107
 
5.4%
5 104
 
5.2%
9 88
 
4.4%
0 88
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
50.0%
G 3
 
18.8%
L 3
 
18.8%
J 1
 
6.2%
D 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 494
97.8%
. 6
 
1.2%
/ 5
 
1.0%
Space Separator
ValueCountFrequency (%)
2348
100.0%
Close Punctuation
ValueCountFrequency (%)
) 522
100.0%
Open Punctuation
ValueCountFrequency (%)
( 522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8723
59.4%
Common 5936
40.4%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 632
 
7.2%
포 588
 
6.7%
동 584
 
6.7%
마 565
 
6.5%
울 543
 
6.2%
특 516
 
5.9%
별 516
 
5.9%
시 516
 
5.9%
구 516
 
5.9%
로 489
 
5.6%
Other values (146) 3258
37.3%
Common
ValueCountFrequency (%)
2348
39.6%
1 533
 
9.0%
) 522
 
8.8%
( 522
 
8.8%
, 494
 
8.3%
2 402
 
6.8%
3 231
 
3.9%
4 175
 
2.9%
6 139
 
2.3%
7 124
 
2.1%
Other values (8) 446
 
7.5%
Latin
ValueCountFrequency (%)
B 8
50.0%
G 3
 
18.8%
L 3
 
18.8%
J 1
 
6.2%
D 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8723
59.4%
ASCII 5952
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2348
39.4%
1 533
 
9.0%
) 522
 
8.8%
( 522
 
8.8%
, 494
 
8.3%
2 402
 
6.8%
3 231
 
3.9%
4 175
 
2.9%
6 139
 
2.3%
7 124
 
2.1%
Other values (13) 462
 
7.8%
Hangul
ValueCountFrequency (%)
서 632
 
7.2%
포 588
 
6.7%
동 584
 
6.7%
마 565
 
6.5%
울 543
 
6.2%
특 516
 
5.9%
별 516
 
5.9%
시 516
 
5.9%
구 516
 
5.9%
로 489
 
5.6%
Other values (146) 3258
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)34.6%
Missing186
Missing (%)32.7%
Infinite0
Infinite (%)0.0%
Mean5591.7592
Minimum3923
Maximum121889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:11:56.271876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3923
5-th percentile3947
Q14000
median4041
Q34103.25
95-th percentile4202.9
Maximum121889
Range117966
Interquartile range (IQR)103.25

Descriptive statistics

Standard deviation13408.233
Coefficient of variation (CV)2.397856
Kurtosis72.368585
Mean5591.7592
Median Absolute Deviation (MAD)48
Skewness8.6016018
Sum2136052
Variance1.7978072 × 108
MonotonicityNot monotonic
2024-05-11T08:11:56.705886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4050 15
 
2.6%
4040 12
 
2.1%
4041 12
 
2.1%
4057 9
 
1.6%
4014 9
 
1.6%
3993 8
 
1.4%
4109 7
 
1.2%
3930 7
 
1.2%
3982 7
 
1.2%
4048 7
 
1.2%
Other values (122) 289
50.9%
(Missing) 186
32.7%
ValueCountFrequency (%)
3923 1
 
0.2%
3927 2
 
0.4%
3930 7
1.2%
3938 3
0.5%
3941 2
 
0.4%
3945 1
 
0.2%
3946 2
 
0.4%
3947 4
0.7%
3957 1
 
0.2%
3958 1
 
0.2%
ValueCountFrequency (%)
121889 1
 
0.2%
121885 1
 
0.2%
121859 2
0.4%
121836 1
 
0.2%
4210 2
0.4%
4209 2
0.4%
4208 3
0.5%
4207 2
0.4%
4206 3
0.5%
4205 2
0.4%

사업장명
Text

Distinct543
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T08:11:57.276312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.5158451
Min length1

Characters and Unicode

Total characters3701
Distinct characters390
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

Unique522 ?
Unique (%)91.9%

Sample

1st rowPC월드
2nd row플러그앳
3rd row제이제이
4th row파워넷
5th row청화PC방
ValueCountFrequency (%)
피시방 64
 
7.5%
피씨방 58
 
6.8%
pc 32
 
3.7%
pc방 23
 
2.7%
cafe 15
 
1.7%
3pop 10
 
1.2%
피씨 7
 
0.8%
피시 5
 
0.6%
클릭 5
 
0.6%
아이비스 4
 
0.5%
Other values (557) 635
74.0%
2024-05-11T08:11:58.479220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
7.8%
방 263
 
7.1%
피 241
 
6.5%
P 163
 
4.4%
C 159
 
4.3%
시 129
 
3.5%
이 112
 
3.0%
스 106
 
2.9%
씨 101
 
2.7%
넷 89
 
2.4%
Other values (380) 2048
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2774
75.0%
Uppercase Letter 482
 
13.0%
Space Separator 290
 
7.8%
Lowercase Letter 51
 
1.4%
Decimal Number 36
 
1.0%
Close Punctuation 29
 
0.8%
Open Punctuation 29
 
0.8%
Other Punctuation 6
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 263
 
9.5%
피 241
 
8.7%
시 129
 
4.7%
이 112
 
4.0%
스 106
 
3.8%
씨 101
 
3.6%
넷 89
 
3.2%
인 75
 
2.7%
아 69
 
2.5%
터 68
 
2.5%
Other values (329) 1521
54.8%
Uppercase Letter
ValueCountFrequency (%)
P 163
33.8%
C 159
33.0%
E 30
 
6.2%
A 22
 
4.6%
O 18
 
3.7%
F 16
 
3.3%
R 10
 
2.1%
T 7
 
1.5%
N 7
 
1.5%
M 6
 
1.2%
Other values (14) 44
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
p 15
29.4%
c 13
25.5%
e 5
 
9.8%
r 3
 
5.9%
d 2
 
3.9%
n 2
 
3.9%
a 2
 
3.9%
y 1
 
2.0%
t 1
 
2.0%
q 1
 
2.0%
Other values (6) 6
 
11.8%
Decimal Number
ValueCountFrequency (%)
3 13
36.1%
2 11
30.6%
1 9
25.0%
0 3
 
8.3%
Other Punctuation
ValueCountFrequency (%)
: 3
50.0%
. 2
33.3%
@ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2774
75.0%
Latin 533
 
14.4%
Common 394
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 263
 
9.5%
피 241
 
8.7%
시 129
 
4.7%
이 112
 
4.0%
스 106
 
3.8%
씨 101
 
3.6%
넷 89
 
3.2%
인 75
 
2.7%
아 69
 
2.5%
터 68
 
2.5%
Other values (329) 1521
54.8%
Latin
ValueCountFrequency (%)
P 163
30.6%
C 159
29.8%
E 30
 
5.6%
A 22
 
4.1%
O 18
 
3.4%
F 16
 
3.0%
p 15
 
2.8%
c 13
 
2.4%
R 10
 
1.9%
T 7
 
1.3%
Other values (30) 80
15.0%
Common
ValueCountFrequency (%)
290
73.6%
) 29
 
7.4%
( 29
 
7.4%
3 13
 
3.3%
2 11
 
2.8%
1 9
 
2.3%
- 4
 
1.0%
0 3
 
0.8%
: 3
 
0.8%
. 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2774
75.0%
ASCII 927
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
31.3%
P 163
17.6%
C 159
17.2%
E 30
 
3.2%
) 29
 
3.1%
( 29
 
3.1%
A 22
 
2.4%
O 18
 
1.9%
F 16
 
1.7%
p 15
 
1.6%
Other values (41) 156
16.8%
Hangul
ValueCountFrequency (%)
방 263
 
9.5%
피 241
 
8.7%
시 129
 
4.7%
이 112
 
4.0%
스 106
 
3.8%
씨 101
 
3.6%
넷 89
 
3.2%
인 75
 
2.7%
아 69
 
2.5%
터 68
 
2.5%
Other values (329) 1521
54.8%

최종수정일자
Date

Distinct543
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2003-04-18 14:56:25
Maximum2024-05-01 18:16:57
2024-05-11T08:11:58.897862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:11:59.760980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
I
369 
U
199 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 369
65.0%
U 199
35.0%

Length

2024-05-11T08:12:00.266974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:00.712274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 369
65.0%
u 199
35.0%

데이터갱신일자
Date

Distinct78
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T08:12:01.135136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:12:01.737647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct429
Distinct (%)80.2%
Missing33
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean193280.03
Minimum189988.29
Maximum196690.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:12:02.276752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189988.29
5-th percentile191359.71
Q1191853.57
median193101.16
Q3194443.27
95-th percentile196059.15
Maximum196690.37
Range6702.0856
Interquartile range (IQR)2589.7023

Descriptive statistics

Standard deviation1513.8038
Coefficient of variation (CV)0.0078321788
Kurtosis-0.88285037
Mean193280.03
Median Absolute Deviation (MAD)1282.8323
Skewness0.36767405
Sum1.0340482 × 108
Variance2291601.8
MonotonicityNot monotonic
2024-05-11T08:12:02.760530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192164.171584336 5
 
0.9%
191573.169013313 4
 
0.7%
192665.991384091 3
 
0.5%
194679.600293425 3
 
0.5%
191853.570864211 3
 
0.5%
191061.402140532 3
 
0.5%
195686.502127167 3
 
0.5%
195171.475240752 3
 
0.5%
194082.001604299 3
 
0.5%
193101.157180005 3
 
0.5%
Other values (419) 502
88.4%
(Missing) 33
 
5.8%
ValueCountFrequency (%)
189988.285119266 1
0.2%
190611.535323711 1
0.2%
190642.446699704 1
0.2%
190655.421130038 1
0.2%
190696.719826687 1
0.2%
190707.026133738 1
0.2%
190727.41048952 2
0.4%
190747.122724431 1
0.2%
190776.560650254 1
0.2%
190790.495532504 1
0.2%
ValueCountFrequency (%)
196690.370757397 1
0.2%
196604.277736784 1
0.2%
196583.868057127 1
0.2%
196518.221948049 1
0.2%
196459.671564584 1
0.2%
196356.966545009 1
0.2%
196295.35877 1
0.2%
196285.697679574 1
0.2%
196275.818804489 1
0.2%
196225.863990489 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct429
Distinct (%)80.2%
Missing33
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean450214.28
Minimum448220.88
Maximum453238.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:12:03.491503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448220.88
5-th percentile448827.33
Q1449764.95
median450276.02
Q3450560.05
95-th percentile451431.94
Maximum453238.15
Range5017.2679
Interquartile range (IQR)795.10501

Descriptive statistics

Standard deviation778.05336
Coefficient of variation (CV)0.0017281846
Kurtosis1.787546
Mean450214.28
Median Absolute Deviation (MAD)399.6716
Skewness0.53003184
Sum2.4086464 × 108
Variance605367.03
MonotonicityNot monotonic
2024-05-11T08:12:04.150533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449651.784030257 5
 
0.9%
450188.990292425 4
 
0.7%
450740.174633182 3
 
0.5%
448833.192220936 3
 
0.5%
451711.735026994 3
 
0.5%
450429.024327899 3
 
0.5%
450472.175489598 3
 
0.5%
450393.313704075 3
 
0.5%
450351.715717232 3
 
0.5%
450347.651518625 3
 
0.5%
Other values (419) 502
88.4%
(Missing) 33
 
5.8%
ValueCountFrequency (%)
448220.880197432 1
0.2%
448305.518618358 1
0.2%
448396.329449757 1
0.2%
448411.703822551 1
0.2%
448440.238743443 1
0.2%
448457.990936467 1
0.2%
448469.246211868 1
0.2%
448472.06860184 1
0.2%
448481.493254498 1
0.2%
448505.047642346 1
0.2%
ValueCountFrequency (%)
453238.148137922 1
0.2%
452917.024286391 1
0.2%
452846.717097288 1
0.2%
452830.066811442 1
0.2%
452779.100221371 1
0.2%
452710.780982054 1
0.2%
452669.847914767 1
0.2%
452649.962814424 2
0.4%
452647.463621987 1
0.2%
452617.882896594 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
인터넷컴퓨터게임시설제공업
543 
<NA>
 
25

Length

Max length13
Median length13
Mean length12.603873
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 543
95.6%
<NA> 25
 
4.4%

Length

2024-05-11T08:12:04.583529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:04.888198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 543
95.6%
na 25
 
4.4%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
유통관련업
543 
<NA>
 
25

Length

Max length5
Median length5
Mean length4.9559859
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 543
95.6%
<NA> 25
 
4.4%

Length

2024-05-11T08:12:05.316922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:05.617558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 543
95.6%
na 25
 
4.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.3%
Missing321
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean0.65991903
Minimum0
Maximum25
Zeros218
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:12:05.900213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.7
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3816995
Coefficient of variation (CV)3.6090784
Kurtosis47.252028
Mean0.65991903
Median Absolute Deviation (MAD)0
Skewness5.8367544
Sum163
Variance5.6724927
MonotonicityNot monotonic
2024-05-11T08:12:06.257611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 218
38.4%
4 5
 
0.9%
6 5
 
0.9%
1 4
 
0.7%
5 3
 
0.5%
7 3
 
0.5%
2 2
 
0.4%
3 2
 
0.4%
8 1
 
0.2%
25 1
 
0.2%
Other values (3) 3
 
0.5%
(Missing) 321
56.5%
ValueCountFrequency (%)
0 218
38.4%
1 4
 
0.7%
2 2
 
0.4%
3 2
 
0.4%
4 5
 
0.9%
5 3
 
0.5%
6 5
 
0.9%
7 3
 
0.5%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
25 1
 
0.2%
11 1
 
0.2%
10 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
7 3
0.5%
6 5
0.9%
5 3
0.5%
4 5
0.9%
3 2
 
0.4%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
480 
학교정화(상대)
60 
기타
 
15
학교정화(절대)
 
7
주택가주변
 
6

Length

Max length8
Median length4
Mean length4.4295775
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 480
84.5%
학교정화(상대) 60
 
10.6%
기타 15
 
2.6%
학교정화(절대) 7
 
1.2%
주택가주변 6
 
1.1%

Length

2024-05-11T08:12:06.704536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:07.119710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 480
84.5%
학교정화(상대 60
 
10.6%
기타 15
 
2.6%
학교정화(절대 7
 
1.2%
주택가주변 6
 
1.1%

제작취급품목내용
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing561
Missing (%)98.8%
Memory size4.6 KiB
2024-05-11T08:12:07.750564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length2
Mean length18.428571
Min length2

Characters and Unicode

Total characters129
Distinct characters64
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st rowPC
2nd row온라인게임
3rd row게임
4th row,,
5th row,,
ValueCountFrequency (%)
2
 
8.3%
킹즈 2
 
8.3%
vr 2
 
8.3%
게임 1
 
4.2%
쥬시팡팡 1
 
4.2%
아일랜드359 1
 
4.2%
파이트 1
 
4.2%
카운터 1
 
4.2%
아케이드,퀴버,토이클래시 1
 
4.2%
선샤인 1
 
4.2%
Other values (11) 11
45.8%
2024-05-11T08:12:08.700695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
13.2%
, 15
 
11.6%
이 10
 
7.8%
게 3
 
2.3%
리 3
 
2.3%
임 3
 
2.3%
드 3
 
2.3%
인 3
 
2.3%
R 2
 
1.6%
모 2
 
1.6%
Other values (54) 68
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
65.1%
Space Separator 17
 
13.2%
Other Punctuation 15
 
11.6%
Uppercase Letter 8
 
6.2%
Decimal Number 3
 
2.3%
Dash Punctuation 1
 
0.8%
Connector Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
11.9%
게 3
 
3.6%
리 3
 
3.6%
임 3
 
3.6%
드 3
 
3.6%
인 3
 
3.6%
모 2
 
2.4%
즈 2
 
2.4%
킹 2
 
2.4%
트 2
 
2.4%
Other values (43) 51
60.7%
Uppercase Letter
ValueCountFrequency (%)
R 2
25.0%
P 2
25.0%
V 2
25.0%
C 2
25.0%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
5 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84
65.1%
Common 37
28.7%
Latin 8
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
11.9%
게 3
 
3.6%
리 3
 
3.6%
임 3
 
3.6%
드 3
 
3.6%
인 3
 
3.6%
모 2
 
2.4%
즈 2
 
2.4%
킹 2
 
2.4%
트 2
 
2.4%
Other values (43) 51
60.7%
Common
ValueCountFrequency (%)
17
45.9%
, 15
40.5%
9 1
 
2.7%
5 1
 
2.7%
3 1
 
2.7%
- 1
 
2.7%
_ 1
 
2.7%
Latin
ValueCountFrequency (%)
R 2
25.0%
P 2
25.0%
V 2
25.0%
C 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84
65.1%
ASCII 45
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
37.8%
, 15
33.3%
R 2
 
4.4%
P 2
 
4.4%
V 2
 
4.4%
C 2
 
4.4%
9 1
 
2.2%
5 1
 
2.2%
3 1
 
2.2%
- 1
 
2.2%
Hangul
ValueCountFrequency (%)
이 10
 
11.9%
게 3
 
3.6%
리 3
 
3.6%
임 3
 
3.6%
드 3
 
3.6%
인 3
 
3.6%
모 2
 
2.4%
즈 2
 
2.4%
킹 2
 
2.4%
트 2
 
2.4%
Other values (43) 51
60.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct202
Distinct (%)38.1%
Missing38
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean63.963906
Minimum0
Maximum498.61
Zeros312
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:12:09.356727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3127.765
95-th percentile251.5375
Maximum498.61
Range498.61
Interquartile range (IQR)127.765

Descriptive statistics

Standard deviation96.079906
Coefficient of variation (CV)1.5020957
Kurtosis3.2392711
Mean63.963906
Median Absolute Deviation (MAD)0
Skewness1.7306586
Sum33900.87
Variance9231.3483
MonotonicityNot monotonic
2024-05-11T08:12:09.941505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 312
54.9%
33.0 2
 
0.4%
299.88 2
 
0.4%
62.81 2
 
0.4%
124.7 2
 
0.4%
71.37 2
 
0.4%
64.03 2
 
0.4%
45.68 2
 
0.4%
127.3 2
 
0.4%
127.92 2
 
0.4%
Other values (192) 200
35.2%
(Missing) 38
 
6.7%
ValueCountFrequency (%)
0.0 312
54.9%
20.0 1
 
0.2%
20.7 1
 
0.2%
21.5 1
 
0.2%
22.08 1
 
0.2%
26.0 1
 
0.2%
26.42 1
 
0.2%
26.64 1
 
0.2%
30.05 1
 
0.2%
33.0 2
 
0.4%
ValueCountFrequency (%)
498.61 1
0.2%
498.56 1
0.2%
493.85 1
0.2%
445.8 1
0.2%
434.64 1
0.2%
419.0 1
0.2%
393.1 1
0.2%
388.46 1
0.2%
379.95 1
0.2%
366.13 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.5%
Missing322
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.55284553
Minimum0
Maximum20
Zeros218
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:12:10.438990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.75
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9428708
Coefficient of variation (CV)3.5143104
Kurtosis43.808137
Mean0.55284553
Median Absolute Deviation (MAD)0
Skewness5.6024497
Sum136
Variance3.774747
MonotonicityNot monotonic
2024-05-11T08:12:11.016951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 218
38.4%
3 6
 
1.1%
5 6
 
1.1%
4 4
 
0.7%
2 4
 
0.7%
6 2
 
0.4%
7 2
 
0.4%
20 1
 
0.2%
1 1
 
0.2%
9 1
 
0.2%
(Missing) 322
56.7%
ValueCountFrequency (%)
0 218
38.4%
1 1
 
0.2%
2 4
 
0.7%
3 6
 
1.1%
4 4
 
0.7%
5 6
 
1.1%
6 2
 
0.4%
7 2
 
0.4%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
7 2
 
0.4%
6 2
 
0.4%
5 6
1.1%
4 4
0.7%
3 6
1.1%
2 4
0.7%
1 1
 
0.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
320 
0
220 
1
 
23
2
 
2
3
 
2

Length

Max length4
Median length4
Mean length2.6901408
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 320
56.3%
0 220
38.7%
1 23
 
4.0%
2 2
 
0.4%
3 2
 
0.4%
5 1
 
0.2%

Length

2024-05-11T08:12:11.520374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:11.918079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 320
56.3%
0 220
38.7%
1 23
 
4.0%
2 2
 
0.4%
3 2
 
0.4%
5 1
 
0.2%

건물용도명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
371 
근린생활시설
197 

Length

Max length6
Median length4
Mean length4.693662
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 371
65.3%
근린생활시설 197
34.7%

Length

2024-05-11T08:12:12.434679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:12.844011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 371
65.3%
근린생활시설 197
34.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
566 
0
 
2

Length

Max length4
Median length4
Mean length3.9894366
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 566
99.6%
0 2
 
0.4%

Length

2024-05-11T08:12:13.287903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:13.743128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 566
99.6%
0 2
 
0.4%

조명시설조도
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
563 
40
 
2
0
 
2
60
 
1

Length

Max length4
Median length4
Mean length3.9788732
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
99.1%
40 2
 
0.4%
0 2
 
0.4%
60 1
 
0.2%

Length

2024-05-11T08:12:14.177733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:14.591178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
99.1%
40 2
 
0.4%
0 2
 
0.4%
60 1
 
0.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
566 
0
 
2

Length

Max length4
Median length4
Mean length3.9894366
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 566
99.6%
0 2
 
0.4%

Length

2024-05-11T08:12:14.974643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:15.530926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 566
99.6%
0 2
 
0.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
566 
0
 
2

Length

Max length4
Median length4
Mean length3.9894366
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 566
99.6%
0 2
 
0.4%

Length

2024-05-11T08:12:15.968023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:16.285644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 566
99.6%
0 2
 
0.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)68.4%
Missing492
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean65.776316
Minimum6
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-05-11T08:12:16.714947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q119
median56
Q397.75
95-th percentile165.75
Maximum209
Range203
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation52.546766
Coefficient of variation (CV)0.79887062
Kurtosis0.031978602
Mean65.776316
Median Absolute Deviation (MAD)41
Skewness0.82688053
Sum4999
Variance2761.1626
MonotonicityNot monotonic
2024-05-11T08:12:17.334864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 7
 
1.2%
40 4
 
0.7%
9 3
 
0.5%
64 3
 
0.5%
24 2
 
0.4%
121 2
 
0.4%
105 2
 
0.4%
97 2
 
0.4%
10 2
 
0.4%
111 2
 
0.4%
Other values (42) 47
 
8.3%
(Missing) 492
86.6%
ValueCountFrequency (%)
6 1
 
0.2%
7 7
1.2%
8 2
 
0.4%
9 3
0.5%
10 2
 
0.4%
11 2
 
0.4%
12 1
 
0.2%
16 1
 
0.2%
20 1
 
0.2%
24 2
 
0.4%
ValueCountFrequency (%)
209 1
0.2%
196 1
0.2%
191 1
0.2%
177 1
0.2%
162 1
0.2%
161 1
0.2%
154 1
0.2%
135 1
0.2%
130 1
0.2%
129 1
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
531 
전체이용가
 
37

Length

Max length5
Median length4
Mean length4.0651408
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> 531
93.5%
전체이용가 37
 
6.5%

Length

2024-05-11T08:12:18.014709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:18.473204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 531
93.5%
전체이용가 37
 
6.5%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing568
Missing (%)100.0%
Memory size5.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
542 
일반주거지역
 
20
근린상업지역
 
2
주거지역
 
2
상업지역
 
1

Length

Max length6
Median length4
Mean length4.0809859
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 542
95.4%
일반주거지역 20
 
3.5%
근린상업지역 2
 
0.4%
주거지역 2
 
0.4%
상업지역 1
 
0.2%
일반상업지역 1
 
0.2%

Length

2024-05-11T08:12:18.992356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:12:19.799439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 542
95.4%
일반주거지역 20
 
3.5%
근린상업지역 2
 
0.4%
주거지역 2
 
0.4%
상업지역 1
 
0.2%
일반상업지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF224102199900002719991027<NA>4취소/말소/만료/정지/중지35직권말소20190612<NA><NA><NA>32737318<NA><NA>서울특별시 마포구 신수동 387-3번지 2층서울특별시 마포구 토정로 216 (신수동)4091PC월드2019-06-12 11:03:16U2019-06-14 02:40:00.0<NA>194168.661788449177.319955인터넷컴퓨터게임시설제공업유통관련업0학교정화(상대)<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000CDFF224102199900002819991030<NA>4취소/말소/만료/정지/중지35직권말소20180824<NA><NA><NA>3144-3993<NA><NA>서울특별시 마포구 창전동 5-73번지 지층서울특별시 마포구 서강로9길 59 (창전동,지층)4059플러그앳2018-08-27 11:33:10I2018-08-31 23:59:59.0<NA>193776.475035450240.769474인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000CDFF224102199900002919991030<NA>3폐업3폐업20010618<NA><NA><NA>322-2416<NA>121820서울특별시 마포구 망원동 377-18번지 2층서울특별시 마포구 월드컵로 83 (망원동,2층)<NA>제이제이2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>191943.192361450437.877964인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33130000CDFF224102199900003019991030<NA>4취소/말소/만료/정지/중지35직권말소20181212<NA><NA><NA>3763848<NA><NA>서울특별시 마포구 서교동 346-45번지 2층서울특별시 마포구 어울마당로 126 (서교동,2층)4055파워넷2018-12-12 14:11:28U2018-12-14 02:40:00.0<NA>193222.755374450369.159241인터넷컴퓨터게임시설제공업유통관련업0학교정화(상대)<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFF224102199900003119991103<NA>4취소/말소/만료/정지/중지35직권말소20180824<NA><NA><NA>306-4958<NA><NA>서울특별시 마포구 성산동 152-7번지 청화상가2층 204호서울특별시 마포구 월드컵북로 224, 204호 (성산동,청화상가2층)3941청화PC방2018-08-27 11:03:48I2018-08-31 23:59:59.0<NA>191489.555608451951.96681인터넷컴퓨터게임시설제공업유통관련업0학교정화(절대)<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53130000CDFF224102199900003219991103<NA>3폐업3폐업20001231<NA><NA><NA>702-3405<NA>121807서울특별시 마포구 노고산동 107-61번지 삼보빌딩4층서울특별시 마포구 백범로 24 (노고산동,삼보빌딩4층)<NA>씨엔더블유게임방2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>194366.547558450039.518635인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63130000CDFF224102199900003319991103<NA>4취소/말소/만료/정지/중지35직권말소20190110<NA><NA><NA>8082382<NA><NA>서울특별시 마포구 합정동 410-5번지 2층서울특별시 마포구 독막로 51, 2층 (합정동)4048에이플러스PC방2019-01-10 11:14:00U2019-01-12 02:40:00.0<NA>192768.895832449541.830258인터넷컴퓨터게임시설제공업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000CDFF224102199900003419991108<NA>4취소/말소/만료/정지/중지35직권말소20181226<NA><NA><NA>3061504<NA><NA>서울특별시 마포구 서교동 358-34번지 86.2층서울특별시 마포구 와우산로21길 10 (서교동,86.2층)4040마우스헌터2018-12-26 14:23:10U2018-12-28 02:40:00.0<NA>193159.925191450034.574644인터넷컴퓨터게임시설제공업유통관련업0학교정화(상대)<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83130000CDFF224102199900003519991108<NA>3폐업3폐업20010706<NA><NA><NA>3143-3175<NA>121882서울특별시 마포구 창전동 330-0번지 331/지층서울특별시 마포구 독막로22길 3 (창전동,331/지층)<NA>피터펜2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA>193699.985776449436.562748인터넷컴퓨터게임시설제공업유통관련업0학교정화(상대)<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93130000CDFF224102199900003619991108<NA>3폐업3폐업20001107<NA><NA><NA>3273-4334<NA>121873서울특별시 마포구 염리동 160-61번지 1층<NA><NA>준인터넷2003-04-18 14:56:25I2018-08-31 23:59:59.0<NA><NA><NA>인터넷컴퓨터게임시설제공업유통관련업0학교정화(절대)<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5583130000CDFF22410220210000022021-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA>07086701002<NA><NA>서울특별시 마포구 노고산동 57-12 태영빌딩서울특별시 마포구 신촌로 88, 태영빌딩 지하1층 (노고산동)4058아이센스리그PC신촌본점2023-04-24 14:25:04U2022-12-03 22:06:00.0<NA>194219.19139450346.609802<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5593130000CDFF224102202100000320211213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 482-9 망원우체국서울특별시 마포구 월드컵로 111, 망원우체국 지하1층 (망원동)3963큐스테이지피씨카페2021-12-13 21:00:27I2021-12-15 00:22:43.0<NA>191783.48236450660.899713인터넷컴퓨터게임시설제공업유통관련업0<NA>인터넷게임498.6101근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>129<NA>전체이용가<NA><NA><NA>주거지역
5603130000CDFF22410220220000012022-05-25<NA>3폐업3폐업2023-09-15<NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 478-5서울특별시 마포구 월드컵로 137, 2층 202호 (망원동)3963스타PC2023-09-15 16:48:18U2022-12-08 23:07:00.0<NA>191627.144299450881.851755<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5613130000CDFF224102202200000220221222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 173-14 104호서울특별시 마포구 양화로 192, 1층 104호 (동교동)4056칵투스 PC CAFE2022-12-22 17:38:54I2021-11-01 22:04:00.0<NA>193414.676814450675.003556<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5623130000CDFF22410220230000012023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 162-3 삼주빌딩서울특별시 마포구 홍익로6길 15, 삼주빌딩 4층 (동교동)4050박정석 피시방2023-03-21 13:35:11I2022-12-02 22:03:00.0<NA>193101.15718450347.651519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5633130000CDFF22410220230000022023-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1392-9856<NA><NA>서울특별시 마포구 망원동 418-1서울특별시 마포구 망원로 24, 지하1층 (망원동)4007주식회사 제로백프리미어2023-06-28 14:28:52U2022-12-05 21:00:00.0<NA>191061.402141450429.024328<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5643130000CDFF22410220230000032023-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4827-0074<NA><NA>서울특별시 마포구 동교동 160-4 아일렉스서울특별시 마포구 양화로 147, 아일렉스 지하 1층 (동교동)3995티원 베이스캠프(T1 BASE CAMP)2023-05-09 17:32:33I2022-12-04 23:01:00.0<NA>193046.534722450424.564541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5653130000CDFF22410220240000012024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 260-27서울특별시 마포구 동교로 242, 3층 (연남동)3982으뜸 플스방2024-01-25 11:44:52I2023-11-30 22:07:00.0<NA>193256.457923451016.89276<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5663130000CDFF22410220240000022024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 81-136 제2서강빌딩서울특별시 마포구 백범로 28, 제2서강빌딩 1층 101호 (신수동)4109레드포스 PC아레나 서강대점2024-02-28 18:18:09I2023-12-03 00:01:00.0<NA>194369.318724449982.687587<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5673130000CDFF22410220240000032024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 대흥동 2-44서울특별시 마포구 대흥로 184-2, 1층 (대흥동)4112AROHA PC2024-05-01 18:16:57I2023-12-05 00:04:00.0<NA>195166.42156450365.43837<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>