Overview

Dataset statistics

Number of variables56
Number of observations203
Missing cells5537
Missing cells (%)48.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.5 KiB
Average record size in memory486.7 B

Variable types

Categorical17
Text6
DateTime4
Unsupported21
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16714/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.5%)Imbalance
영업상태코드 is highly imbalanced (54.3%)Imbalance
영업상태명 is highly imbalanced (54.3%)Imbalance
상세영업상태코드 is highly imbalanced (60.3%)Imbalance
상세영업상태명 is highly imbalanced (60.3%)Imbalance
주변환경명 is highly imbalanced (71.8%)Imbalance
건물용도명 is highly imbalanced (64.7%)Imbalance
통로너비 is highly imbalanced (95.5%)Imbalance
조명시설조도 is highly imbalanced (95.5%)Imbalance
노래방실수 is highly imbalanced (95.5%)Imbalance
청소년실수 is highly imbalanced (95.5%)Imbalance
총게임기수 is highly imbalanced (95.5%)Imbalance
지역구분명 is highly imbalanced (62.3%)Imbalance
폐업일자 has 163 (80.3%) missing valuesMissing
휴업시작일자 has 203 (100.0%) missing valuesMissing
휴업종료일자 has 203 (100.0%) missing valuesMissing
재개업일자 has 203 (100.0%) missing valuesMissing
전화번호 has 158 (77.8%) missing valuesMissing
소재지면적 has 203 (100.0%) missing valuesMissing
소재지우편번호 has 165 (81.3%) missing valuesMissing
도로명우편번호 has 62 (30.5%) missing valuesMissing
업태구분명 has 203 (100.0%) missing valuesMissing
좌표정보(X) has 24 (11.8%) missing valuesMissing
좌표정보(Y) has 24 (11.8%) missing valuesMissing
총층수 has 185 (91.1%) missing valuesMissing
제작취급품목내용 has 53 (26.1%) missing valuesMissing
시설면적 has 78 (38.4%) missing valuesMissing
지상층수 has 175 (86.2%) missing valuesMissing
지하층수 has 185 (91.1%) missing valuesMissing
비상계단여부 has 203 (100.0%) missing valuesMissing
비상구여부 has 203 (100.0%) missing valuesMissing
자동환기여부 has 203 (100.0%) missing valuesMissing
청소년실여부 has 203 (100.0%) missing valuesMissing
특수조명여부 has 203 (100.0%) missing valuesMissing
방음시설여부 has 203 (100.0%) missing valuesMissing
비디오재생기명 has 203 (100.0%) missing valuesMissing
조명시설유무 has 203 (100.0%) missing valuesMissing
음향시설여부 has 203 (100.0%) missing valuesMissing
편의시설여부 has 203 (100.0%) missing valuesMissing
소방시설여부 has 203 (100.0%) missing valuesMissing
기존게임업외업종명 has 203 (100.0%) missing valuesMissing
제공게임물명 has 203 (100.0%) missing valuesMissing
공연장형태구분명 has 203 (100.0%) missing valuesMissing
품목명 has 203 (100.0%) missing valuesMissing
최초등록시점 has 203 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:44:06.971609
Analysis finished2024-05-11 00:44:09.199992
Duration2.23 seconds
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
3230000
203 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3230000 203
100.0%

Length

2024-05-11T00:44:09.406670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:09.695999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 203
100.0%

관리번호
Text

UNIQUE 

Distinct203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T00:44:10.307658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4060
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

Unique203 ?
Unique (%)100.0%

Sample

1st rowCDFF2241082003000002
2nd rowCDFF2241082004000001
3rd rowCDFF2241082004000002
4th rowCDFF2241082005000002
5th rowCDFF2241082005000003
ValueCountFrequency (%)
cdff2241082003000002 1
 
0.5%
cdff2241082019000011 1
 
0.5%
cdff2241082020000010 1
 
0.5%
cdff2241082019000002 1
 
0.5%
cdff2241082019000003 1
 
0.5%
cdff2241082019000004 1
 
0.5%
cdff2241082019000005 1
 
0.5%
cdff2241082019000006 1
 
0.5%
cdff2241082019000007 1
 
0.5%
cdff2241082019000008 1
 
0.5%
Other values (193) 193
95.1%
2024-05-11T00:44:11.679776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1462
36.0%
2 717
17.7%
F 406
 
10.0%
1 393
 
9.7%
4 248
 
6.1%
8 238
 
5.9%
C 203
 
5.0%
D 203
 
5.0%
3 44
 
1.1%
6 44
 
1.1%
Other values (3) 102
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3248
80.0%
Uppercase Letter 812
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1462
45.0%
2 717
22.1%
1 393
 
12.1%
4 248
 
7.6%
8 238
 
7.3%
3 44
 
1.4%
6 44
 
1.4%
9 41
 
1.3%
7 31
 
1.0%
5 30
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 406
50.0%
C 203
25.0%
D 203
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3248
80.0%
Latin 812
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1462
45.0%
2 717
22.1%
1 393
 
12.1%
4 248
 
7.6%
8 238
 
7.3%
3 44
 
1.4%
6 44
 
1.4%
9 41
 
1.3%
7 31
 
1.0%
5 30
 
0.9%
Latin
ValueCountFrequency (%)
F 406
50.0%
C 203
25.0%
D 203
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1462
36.0%
2 717
17.7%
F 406
 
10.0%
1 393
 
9.7%
4 248
 
6.1%
8 238
 
5.9%
C 203
 
5.0%
D 203
 
5.0%
3 44
 
1.1%
6 44
 
1.1%
Other values (3) 102
 
2.5%

인허가일자
Date

Distinct193
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2000-08-17 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T00:44:12.308054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:13.015761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
202 
20101224
 
1

Length

Max length8
Median length4
Mean length4.0197044
Min length4

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> 202
99.5%
20101224 1
 
0.5%

Length

2024-05-11T00:44:13.900493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:14.318822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
99.5%
20101224 1
 
0.5%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
162 
3
32 
5
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 162
79.8%
3 32
 
15.8%
5 7
 
3.4%
4 2
 
1.0%

Length

2024-05-11T00:44:14.760259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:15.154117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 162
79.8%
3 32
 
15.8%
5 7
 
3.4%
4 2
 
1.0%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
162 
폐업
32 
제외/삭제/전출
 
7
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7192118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 162
79.8%
폐업 32
 
15.8%
제외/삭제/전출 7
 
3.4%
취소/말소/만료/정지/중지 2
 
1.0%

Length

2024-05-11T00:44:15.527800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:15.875733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 162
79.8%
폐업 32
 
15.8%
제외/삭제/전출 7
 
3.4%
취소/말소/만료/정지/중지 2
 
1.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
162 
3
32 
15
 
7
35
 
1
31
 
1

Length

Max length2
Median length2
Mean length1.8423645
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 162
79.8%
3 32
 
15.8%
15 7
 
3.4%
35 1
 
0.5%
31 1
 
0.5%

Length

2024-05-11T00:44:16.269339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:16.601967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 162
79.8%
3 32
 
15.8%
15 7
 
3.4%
35 1
 
0.5%
31 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
162 
폐업
32 
전출
 
7
직권말소
 
1
등록취소
 
1

Length

Max length4
Median length3
Mean length2.817734
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 162
79.8%
폐업 32
 
15.8%
전출 7
 
3.4%
직권말소 1
 
0.5%
등록취소 1
 
0.5%

Length

2024-05-11T00:44:16.980490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:17.328949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 162
79.8%
폐업 32
 
15.8%
전출 7
 
3.4%
직권말소 1
 
0.5%
등록취소 1
 
0.5%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)100.0%
Missing163
Missing (%)80.3%
Memory size1.7 KiB
Minimum2008-11-07 00:00:00
Maximum2024-04-12 00:00:00
2024-05-11T00:44:17.653819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:18.044847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing158
Missing (%)77.8%
Memory size1.7 KiB
2024-05-11T00:44:18.525969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.955556
Min length8

Characters and Unicode

Total characters493
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

Unique41 ?
Unique (%)91.1%

Sample

1st row070-7017-6919
2nd row702-7865
3rd row02-419-7357
4th row453-5757
5th row02-417-2090
ValueCountFrequency (%)
02-868-5757 2
 
4.4%
0220887020 2
 
4.4%
070-4432-8771 1
 
2.2%
02-3443-1911 1
 
2.2%
02-552-1930 1
 
2.2%
1661-9985 1
 
2.2%
02-2295-9586 1
 
2.2%
070-4809-4777 1
 
2.2%
02-6009-7288 1
 
2.2%
02-6287-2165 1
 
2.2%
Other values (33) 33
73.3%
2024-05-11T00:44:19.509402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 94
19.1%
- 68
13.8%
2 59
12.0%
7 50
10.1%
1 39
7.9%
4 38
7.7%
5 33
 
6.7%
3 32
 
6.5%
9 30
 
6.1%
8 27
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 425
86.2%
Dash Punctuation 68
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 94
22.1%
2 59
13.9%
7 50
11.8%
1 39
9.2%
4 38
8.9%
5 33
 
7.8%
3 32
 
7.5%
9 30
 
7.1%
8 27
 
6.4%
6 23
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 493
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 94
19.1%
- 68
13.8%
2 59
12.0%
7 50
10.1%
1 39
7.9%
4 38
7.7%
5 33
 
6.7%
3 32
 
6.5%
9 30
 
6.1%
8 27
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 94
19.1%
- 68
13.8%
2 59
12.0%
7 50
10.1%
1 39
7.9%
4 38
7.7%
5 33
 
6.7%
3 32
 
6.5%
9 30
 
6.1%
8 27
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)68.4%
Missing165
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean138380.84
Minimum121887
Maximum138907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:19.877093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121887
5-th percentile138713.85
Q1138827.25
median138841
Q3138861.75
95-th percentile138868.65
Maximum138907
Range17020
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation2749.9167
Coefficient of variation (CV)0.019872091
Kurtosis37.883377
Mean138380.84
Median Absolute Deviation (MAD)15.5
Skewness-6.150906
Sum5258472
Variance7562042
MonotonicityNot monotonic
2024-05-11T00:44:20.326435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
138849 3
 
1.5%
138827 3
 
1.5%
138862 3
 
1.5%
138830 3
 
1.5%
138840 2
 
1.0%
138863 2
 
1.0%
138864 2
 
1.0%
138805 2
 
1.0%
138820 1
 
0.5%
138907 1
 
0.5%
Other values (16) 16
 
7.9%
(Missing) 165
81.3%
ValueCountFrequency (%)
121887 1
 
0.5%
138220 1
 
0.5%
138801 1
 
0.5%
138803 1
 
0.5%
138805 2
1.0%
138820 1
 
0.5%
138827 3
1.5%
138828 1
 
0.5%
138830 3
1.5%
138832 1
 
0.5%
ValueCountFrequency (%)
138907 1
 
0.5%
138878 1
 
0.5%
138867 1
 
0.5%
138864 2
1.0%
138863 2
1.0%
138862 3
1.5%
138861 1
 
0.5%
138858 1
 
0.5%
138852 1
 
0.5%
138849 3
1.5%

지번주소
Text

Distinct153
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T00:44:20.761681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.862069
Min length16

Characters and Unicode

Total characters5250
Distinct characters167
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

Unique125 ?
Unique (%)61.6%

Sample

1st row서울특별시 송파구 오금동 **-*번지
2nd row서울특별시 송파구 가락동 **-*번지 대동빌딩 *층
3rd row서울특별시 송파구 잠실동 ***-*번지 서경빌딩 ***호
4th row서울특별시 송파구 잠실동 ***-**번지
5th row서울특별시 송파구 석촌동 ***-*번지
ValueCountFrequency (%)
서울특별시 203
20.5%
송파구 202
20.4%
번지 140
14.1%
61
 
6.2%
문정동 54
 
5.4%
호 32
 
3.2%
방이동 30
 
3.0%
잠실동 30
 
3.0%
가락동 28
 
2.8%
층 25
 
2.5%
Other values (103) 186
18.8%
2024-05-11T00:44:21.707722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
922
17.6%
* 872
16.6%
파 245
 
4.7%
송 229
 
4.4%
동 215
 
4.1%
시 211
 
4.0%
서 204
 
3.9%
별 204
 
3.9%
구 203
 
3.9%
특 203
 
3.9%
Other values (157) 1742
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3260
62.1%
Space Separator 922
 
17.6%
Other Punctuation 875
 
16.7%
Dash Punctuation 160
 
3.0%
Uppercase Letter 27
 
0.5%
Decimal Number 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 245
 
7.5%
송 229
 
7.0%
동 215
 
6.6%
시 211
 
6.5%
서 204
 
6.3%
별 204
 
6.3%
구 203
 
6.2%
특 203
 
6.2%
울 203
 
6.2%
지 163
 
5.0%
Other values (138) 1180
36.2%
Uppercase Letter
ValueCountFrequency (%)
K 7
25.9%
G 5
18.5%
D 5
18.5%
B 3
11.1%
C 3
11.1%
S 1
 
3.7%
T 1
 
3.7%
Y 1
 
3.7%
V 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
7 1
33.3%
9 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 872
99.7%
, 3
 
0.3%
Space Separator
ValueCountFrequency (%)
922
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3260
62.1%
Common 1962
37.4%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 245
 
7.5%
송 229
 
7.0%
동 215
 
6.6%
시 211
 
6.5%
서 204
 
6.3%
별 204
 
6.3%
구 203
 
6.2%
특 203
 
6.2%
울 203
 
6.2%
지 163
 
5.0%
Other values (138) 1180
36.2%
Latin
ValueCountFrequency (%)
K 7
25.0%
G 5
17.9%
D 5
17.9%
B 3
10.7%
C 3
10.7%
S 1
 
3.6%
T 1
 
3.6%
a 1
 
3.6%
Y 1
 
3.6%
V 1
 
3.6%
Common
ValueCountFrequency (%)
922
47.0%
* 872
44.4%
- 160
 
8.2%
, 3
 
0.2%
8 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3260
62.1%
ASCII 1990
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
922
46.3%
* 872
43.8%
- 160
 
8.0%
K 7
 
0.4%
G 5
 
0.3%
D 5
 
0.3%
, 3
 
0.2%
B 3
 
0.2%
C 3
 
0.2%
8 1
 
0.1%
Other values (9) 9
 
0.5%
Hangul
ValueCountFrequency (%)
파 245
 
7.5%
송 229
 
7.0%
동 215
 
6.6%
시 211
 
6.5%
서 204
 
6.3%
별 204
 
6.3%
구 203
 
6.2%
특 203
 
6.2%
울 203
 
6.2%
지 163
 
5.0%
Other values (138) 1180
36.2%

도로명주소
Text

Distinct185
Distinct (%)92.0%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2024-05-11T00:44:22.257388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length36.383085
Min length23

Characters and Unicode

Total characters7313
Distinct characters208
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)85.6%

Sample

1st row서울특별시 송파구 중대로 *** (오금동)
2nd row서울특별시 송파구 중대로 ***, *층 (가락동)
3rd row서울특별시 송파구 백제고분로**길 **, ***호 (잠실동,서경빌딩)
4th row서울특별시 송파구 백제고분로**길 ** (잠실동)
5th row서울특별시 송파구 백제고분로 *** (석촌동)
ValueCountFrequency (%)
206
15.2%
서울특별시 201
14.8%
송파구 200
14.8%
호 107
 
7.9%
층 60
 
4.4%
문정동 52
 
3.8%
가락동 25
 
1.8%
방이동 22
 
1.6%
잠실동 20
 
1.5%
백제고분로**길 18
 
1.3%
Other values (197) 443
32.7%
2024-05-11T00:44:23.360802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1237
16.9%
1212
 
16.6%
파 266
 
3.6%
동 252
 
3.4%
송 251
 
3.4%
, 230
 
3.1%
시 209
 
2.9%
로 207
 
2.8%
서 205
 
2.8%
) 202
 
2.8%
Other values (198) 3042
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4114
56.3%
Other Punctuation 1467
 
20.1%
Space Separator 1212
 
16.6%
Close Punctuation 202
 
2.8%
Open Punctuation 202
 
2.8%
Uppercase Letter 61
 
0.8%
Dash Punctuation 43
 
0.6%
Decimal Number 10
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 266
 
6.5%
동 252
 
6.1%
송 251
 
6.1%
시 209
 
5.1%
로 207
 
5.0%
서 205
 
5.0%
별 202
 
4.9%
울 201
 
4.9%
특 201
 
4.9%
구 201
 
4.9%
Other values (171) 1919
46.6%
Uppercase Letter
ValueCountFrequency (%)
A 11
18.0%
C 10
16.4%
B 9
14.8%
K 8
13.1%
G 7
11.5%
D 6
9.8%
L 2
 
3.3%
T 2
 
3.3%
Y 1
 
1.6%
S 1
 
1.6%
Other values (4) 4
 
6.6%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
6 2
20.0%
2 2
20.0%
0 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 1237
84.3%
, 230
 
15.7%
Space Separator
ValueCountFrequency (%)
1212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4114
56.3%
Common 3137
42.9%
Latin 62
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 266
 
6.5%
동 252
 
6.1%
송 251
 
6.1%
시 209
 
5.1%
로 207
 
5.0%
서 205
 
5.0%
별 202
 
4.9%
울 201
 
4.9%
특 201
 
4.9%
구 201
 
4.9%
Other values (171) 1919
46.6%
Latin
ValueCountFrequency (%)
A 11
17.7%
C 10
16.1%
B 9
14.5%
K 8
12.9%
G 7
11.3%
D 6
9.7%
L 2
 
3.2%
T 2
 
3.2%
Y 1
 
1.6%
S 1
 
1.6%
Other values (5) 5
8.1%
Common
ValueCountFrequency (%)
* 1237
39.4%
1212
38.6%
, 230
 
7.3%
) 202
 
6.4%
( 202
 
6.4%
- 43
 
1.4%
1 4
 
0.1%
6 2
 
0.1%
2 2
 
0.1%
0 1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4114
56.3%
ASCII 3199
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1237
38.7%
1212
37.9%
, 230
 
7.2%
) 202
 
6.3%
( 202
 
6.3%
- 43
 
1.3%
A 11
 
0.3%
C 10
 
0.3%
B 9
 
0.3%
K 8
 
0.3%
Other values (17) 35
 
1.1%
Hangul
ValueCountFrequency (%)
파 266
 
6.5%
동 252
 
6.1%
송 251
 
6.1%
시 209
 
5.1%
로 207
 
5.0%
서 205
 
5.0%
별 202
 
4.9%
울 201
 
4.9%
특 201
 
4.9%
구 201
 
4.9%
Other values (171) 1919
46.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)46.8%
Missing62
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean9485.2411
Minimum5502
Maximum138861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:23.858773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5502
5-th percentile5542
Q15605
median5719
Q35836
95-th percentile5855
Maximum138861
Range133359
Interquartile range (IQR)231

Descriptive statistics

Standard deviation22153.466
Coefficient of variation (CV)2.3355723
Kurtosis31.423472
Mean9485.2411
Median Absolute Deviation (MAD)117
Skewness5.7425265
Sum1337419
Variance4.9077607 × 108
MonotonicityNot monotonic
2024-05-11T00:44:24.435446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5836 15
 
7.4%
5854 11
 
5.4%
5719 7
 
3.4%
5838 7
 
3.4%
5542 6
 
3.0%
5717 5
 
2.5%
5855 5
 
2.5%
5510 5
 
2.5%
5724 3
 
1.5%
5561 3
 
1.5%
Other values (56) 74
36.5%
(Missing) 62
30.5%
ValueCountFrequency (%)
5502 1
 
0.5%
5510 5
2.5%
5512 1
 
0.5%
5542 6
3.0%
5543 2
 
1.0%
5544 1
 
0.5%
5545 2
 
1.0%
5546 1
 
0.5%
5548 1
 
0.5%
5550 1
 
0.5%
ValueCountFrequency (%)
138861 1
 
0.5%
138840 1
 
0.5%
138828 1
 
0.5%
138160 1
 
0.5%
5855 5
2.5%
5854 11
5.4%
5848 1
 
0.5%
5841 2
 
1.0%
5840 2
 
1.0%
5839 3
 
1.5%

사업장명
Text

Distinct202
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T00:44:25.538767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.3546798
Min length2

Characters and Unicode

Total characters1696
Distinct characters283
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)99.0%

Sample

1st rowD3i
2nd row(주)엔도어즈
3rd row(주)모바일아이앤케이
4th row(주)비비코퍼레이션
5th row(주)찬스스타트
ValueCountFrequency (%)
주식회사 46
 
16.3%
주 4
 
1.4%
스튜디오 4
 
1.4%
소프트 3
 
1.1%
주)쓰리디오즈 2
 
0.7%
망고소프트 1
 
0.4%
주)완씨엔터테인먼트 1
 
0.4%
원스미디어 1
 
0.4%
주)지안플레이그라운드 1
 
0.4%
앤에스파크 1
 
0.4%
Other values (219) 219
77.4%
2024-05-11T00:44:26.899879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 130
 
7.7%
) 90
 
5.3%
( 90
 
5.3%
80
 
4.7%
스 65
 
3.8%
이 58
 
3.4%
사 50
 
2.9%
트 48
 
2.8%
식 47
 
2.8%
회 46
 
2.7%
Other values (273) 992
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
76.4%
Close Punctuation 90
 
5.3%
Open Punctuation 90
 
5.3%
Space Separator 80
 
4.7%
Lowercase Letter 69
 
4.1%
Uppercase Letter 52
 
3.1%
Decimal Number 11
 
0.6%
Dash Punctuation 5
 
0.3%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 130
 
10.0%
스 65
 
5.0%
이 58
 
4.5%
사 50
 
3.9%
트 48
 
3.7%
식 47
 
3.6%
회 46
 
3.5%
프 29
 
2.2%
인 28
 
2.2%
소 26
 
2.0%
Other values (217) 769
59.3%
Uppercase Letter
ValueCountFrequency (%)
C 6
 
11.5%
O 4
 
7.7%
P 4
 
7.7%
H 4
 
7.7%
L 3
 
5.8%
M 3
 
5.8%
K 3
 
5.8%
T 3
 
5.8%
A 3
 
5.8%
S 3
 
5.8%
Other values (11) 16
30.8%
Lowercase Letter
ValueCountFrequency (%)
a 9
13.0%
o 7
10.1%
l 7
10.1%
r 6
 
8.7%
i 6
 
8.7%
n 5
 
7.2%
t 5
 
7.2%
u 3
 
4.3%
s 3
 
4.3%
d 3
 
4.3%
Other values (10) 15
21.7%
Decimal Number
ValueCountFrequency (%)
4 2
18.2%
0 2
18.2%
1 2
18.2%
5 1
9.1%
7 1
9.1%
9 1
9.1%
2 1
9.1%
3 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1297
76.5%
Common 278
 
16.4%
Latin 121
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 130
 
10.0%
스 65
 
5.0%
이 58
 
4.5%
사 50
 
3.9%
트 48
 
3.7%
식 47
 
3.6%
회 46
 
3.5%
프 29
 
2.2%
인 28
 
2.2%
소 26
 
2.0%
Other values (218) 770
59.4%
Latin
ValueCountFrequency (%)
a 9
 
7.4%
o 7
 
5.8%
l 7
 
5.8%
C 6
 
5.0%
r 6
 
5.0%
i 6
 
5.0%
n 5
 
4.1%
t 5
 
4.1%
O 4
 
3.3%
P 4
 
3.3%
Other values (31) 62
51.2%
Common
ValueCountFrequency (%)
) 90
32.4%
( 90
32.4%
80
28.8%
- 5
 
1.8%
4 2
 
0.7%
0 2
 
0.7%
1 2
 
0.7%
5 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
Other values (4) 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1296
76.4%
ASCII 399
 
23.5%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 130
 
10.0%
스 65
 
5.0%
이 58
 
4.5%
사 50
 
3.9%
트 48
 
3.7%
식 47
 
3.6%
회 46
 
3.5%
프 29
 
2.2%
인 28
 
2.2%
소 26
 
2.0%
Other values (217) 769
59.3%
ASCII
ValueCountFrequency (%)
) 90
22.6%
( 90
22.6%
80
20.1%
a 9
 
2.3%
o 7
 
1.8%
l 7
 
1.8%
C 6
 
1.5%
r 6
 
1.5%
i 6
 
1.5%
n 5
 
1.3%
Other values (45) 93
23.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2006-02-24 17:58:14
Maximum2024-05-02 17:42:48
2024-05-11T00:44:27.315915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:27.903512image/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
168 
U
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 168
82.8%
U 35
 
17.2%

Length

2024-05-11T00:44:28.697011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:29.332120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 168
82.8%
u 35
 
17.2%

데이터갱신일자
Date

Distinct80
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T00:44:30.005389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:30.828549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct145
Distinct (%)81.0%
Missing24
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean209528.99
Minimum192128.93
Maximum213659.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:31.274097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192128.93
5-th percentile207098.2
Q1208813.4
median209635.84
Q3210609.39
95-th percentile211441.33
Maximum213659.92
Range21530.991
Interquartile range (IQR)1795.9947

Descriptive statistics

Standard deviation1914.1344
Coefficient of variation (CV)0.0091354157
Kurtosis37.403718
Mean209528.99
Median Absolute Deviation (MAD)955.95269
Skewness-4.2833695
Sum37505688
Variance3663910.4
MonotonicityNot monotonic
2024-05-11T00:44:31.869904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 6
 
3.0%
210481.077142289 4
 
2.0%
207803.033510371 3
 
1.5%
210758.119119654 3
 
1.5%
210398.0 3
 
1.5%
209542.709911306 3
 
1.5%
209430.450574499 2
 
1.0%
209299.474127668 2
 
1.0%
209108.711135042 2
 
1.0%
209248.063694462 2
 
1.0%
Other values (135) 149
73.4%
(Missing) 24
 
11.8%
ValueCountFrequency (%)
192128.930527634 1
0.5%
206397.34797252 1
0.5%
206866.812944395 1
0.5%
206919.478094926 1
0.5%
206987.356255367 2
1.0%
207021.451366415 1
0.5%
207056.411266825 1
0.5%
207086.029217428 1
0.5%
207099.557340127 2
1.0%
207102.395 1
0.5%
ValueCountFrequency (%)
213659.92122223 1
0.5%
213003.492279052 1
0.5%
212862.73508821 1
0.5%
212325.39591829 1
0.5%
211866.581462869 1
0.5%
211768.178384403 2
1.0%
211740.142264637 1
0.5%
211629.302190125 1
0.5%
211420.442787861 1
0.5%
211349.660176194 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct145
Distinct (%)81.0%
Missing24
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean444456.26
Minimum441725.29
Maximum450032.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:32.362304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441828.24
Q1443509.76
median444780.07
Q3445422.68
95-th percentile445999.87
Maximum450032.91
Range8307.6128
Interquartile range (IQR)1912.9123

Descriptive statistics

Standard deviation1423.4231
Coefficient of variation (CV)0.0032026168
Kurtosis0.57726308
Mean444456.26
Median Absolute Deviation (MAD)982.73633
Skewness-0.12375099
Sum79557670
Variance2026133.2
MonotonicityNot monotonic
2024-05-11T00:44:32.850358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 6
 
3.0%
443448.892122874 4
 
2.0%
444770.634495329 3
 
1.5%
443662.956402309 3
 
1.5%
442553.0 3
 
1.5%
445868.526191867 3
 
1.5%
445913.088912404 2
 
1.0%
445317.105828146 2
 
1.0%
444668.643522983 2
 
1.0%
446061.439207259 2
 
1.0%
Other values (135) 149
73.4%
(Missing) 24
 
11.8%
ValueCountFrequency (%)
441725.293491662 6
3.0%
441730.920486073 1
 
0.5%
441783.925940161 2
 
1.0%
441833.16323518 2
 
1.0%
441898.492187301 1
 
0.5%
441994.696754947 1
 
0.5%
441996.227705236 1
 
0.5%
442026.988783 1
 
0.5%
442038.143247 2
 
1.0%
442070.575741668 1
 
0.5%
ValueCountFrequency (%)
450032.906310478 1
0.5%
448528.074342115 1
0.5%
447295.700464236 1
0.5%
446139.152554604 1
0.5%
446087.944327019 1
0.5%
446061.439207259 2
1.0%
446042.592367722 1
0.5%
446040.044744713 1
0.5%
445995.411613587 1
0.5%
445992.2835 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
게임물제작업
160 
<NA>
43 

Length

Max length6
Median length6
Mean length5.5763547
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 160
78.8%
<NA> 43
 
21.2%

Length

2024-05-11T00:44:33.350446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:33.760681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 160
78.8%
na 43
 
21.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
유통관련업
160 
<NA>
43 

Length

Max length5
Median length5
Mean length4.7881773
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 160
78.8%
<NA> 43
 
21.2%

Length

2024-05-11T00:44:34.284611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:34.623099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 160
78.8%
na 43
 
21.2%

총층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)72.2%
Missing185
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean10.888889
Minimum0
Maximum26
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:35.014035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.4
Q15
median9.5
Q316.75
95-th percentile23.45
Maximum26
Range26
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation7.363574
Coefficient of variation (CV)0.67624659
Kurtosis-0.49826872
Mean10.888889
Median Absolute Deviation (MAD)4.5
Skewness0.71291171
Sum196
Variance54.222222
MonotonicityNot monotonic
2024-05-11T00:44:35.536068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 4
 
2.0%
10 3
 
1.5%
23 1
 
0.5%
20 1
 
0.5%
9 1
 
0.5%
6 1
 
0.5%
13 1
 
0.5%
19 1
 
0.5%
8 1
 
0.5%
4 1
 
0.5%
Other values (3) 3
 
1.5%
(Missing) 185
91.1%
ValueCountFrequency (%)
0 1
 
0.5%
4 1
 
0.5%
5 4
2.0%
6 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
10 3
1.5%
13 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
ValueCountFrequency (%)
26 1
 
0.5%
23 1
 
0.5%
20 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
13 1
 
0.5%
10 3
1.5%
9 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
181 
주택가주변
 
6
유흥업소밀집지역
 
6
아파트지역
 
5
기타
 
4

Length

Max length8
Median length4
Mean length4.1527094
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 181
89.2%
주택가주변 6
 
3.0%
유흥업소밀집지역 6
 
3.0%
아파트지역 5
 
2.5%
기타 4
 
2.0%
학교정화(상대) 1
 
0.5%

Length

2024-05-11T00:44:36.042859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:36.448915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 181
89.2%
주택가주변 6
 
3.0%
유흥업소밀집지역 6
 
3.0%
아파트지역 5
 
2.5%
기타 4
 
2.0%
학교정화(상대 1
 
0.5%

제작취급품목내용
Text

MISSING 

Distinct67
Distinct (%)44.7%
Missing53
Missing (%)26.1%
Memory size1.7 KiB
2024-05-11T00:44:37.184000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length6.8866667
Min length2

Characters and Unicode

Total characters1033
Distinct characters106
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

Unique53 ?
Unique (%)35.3%

Sample

1st row게임물제작업
2nd row게임물제작업
3rd row게임물제작
4th row게임물제작업
5th row게임물제작업
ValueCountFrequency (%)
게임물 26
 
12.4%
게임 25
 
12.0%
모바일게임 17
 
8.1%
온라인게임 14
 
6.7%
모바일 13
 
6.2%
온라인 11
 
5.3%
게임소프트웨어 9
 
4.3%
게임물제작업 5
 
2.4%
아케이드 5
 
2.4%
소프트웨어 5
 
2.4%
Other values (59) 79
37.8%
2024-05-11T00:44:38.417047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 139
 
13.5%
임 139
 
13.5%
59
 
5.7%
모 44
 
4.3%
바 44
 
4.3%
일 44
 
4.3%
물 41
 
4.0%
인 38
 
3.7%
온 33
 
3.2%
라 33
 
3.2%
Other values (96) 419
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 872
84.4%
Space Separator 59
 
5.7%
Lowercase Letter 35
 
3.4%
Other Punctuation 28
 
2.7%
Uppercase Letter 23
 
2.2%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 139
15.9%
임 139
15.9%
모 44
 
5.0%
바 44
 
5.0%
일 44
 
5.0%
물 41
 
4.7%
인 38
 
4.4%
온 33
 
3.8%
라 33
 
3.8%
어 26
 
3.0%
Other values (66) 291
33.4%
Lowercase Letter
ValueCountFrequency (%)
m 4
11.4%
e 4
11.4%
a 3
8.6%
c 3
8.6%
p 3
8.6%
g 3
8.6%
t 2
 
5.7%
o 2
 
5.7%
i 2
 
5.7%
h 2
 
5.7%
Other values (7) 7
20.0%
Uppercase Letter
ValueCountFrequency (%)
R 9
39.1%
V 6
26.1%
P 3
 
13.0%
C 2
 
8.7%
A 2
 
8.7%
G 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 21
75.0%
/ 4
 
14.3%
. 2
 
7.1%
& 1
 
3.6%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 872
84.4%
Common 103
 
10.0%
Latin 58
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 139
15.9%
임 139
15.9%
모 44
 
5.0%
바 44
 
5.0%
일 44
 
5.0%
물 41
 
4.7%
인 38
 
4.4%
온 33
 
3.8%
라 33
 
3.8%
어 26
 
3.0%
Other values (66) 291
33.4%
Latin
ValueCountFrequency (%)
R 9
15.5%
V 6
 
10.3%
m 4
 
6.9%
e 4
 
6.9%
a 3
 
5.2%
P 3
 
5.2%
c 3
 
5.2%
p 3
 
5.2%
g 3
 
5.2%
t 2
 
3.4%
Other values (13) 18
31.0%
Common
ValueCountFrequency (%)
59
57.3%
, 21
 
20.4%
( 8
 
7.8%
) 8
 
7.8%
/ 4
 
3.9%
. 2
 
1.9%
& 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 872
84.4%
ASCII 161
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 139
15.9%
임 139
15.9%
모 44
 
5.0%
바 44
 
5.0%
일 44
 
5.0%
물 41
 
4.7%
인 38
 
4.4%
온 33
 
3.8%
라 33
 
3.8%
어 26
 
3.0%
Other values (66) 291
33.4%
ASCII
ValueCountFrequency (%)
59
36.6%
, 21
 
13.0%
R 9
 
5.6%
( 8
 
5.0%
) 8
 
5.0%
V 6
 
3.7%
/ 4
 
2.5%
m 4
 
2.5%
e 4
 
2.5%
a 3
 
1.9%
Other values (20) 35
21.7%

시설면적
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)92.0%
Missing78
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean114.92832
Minimum0
Maximum934
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:38.968075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.498
Q125.63
median47.47
Q3134.88
95-th percentile427.8
Maximum934
Range934
Interquartile range (IQR)109.25

Descriptive statistics

Standard deviation157.28621
Coefficient of variation (CV)1.3685592
Kurtosis8.3610792
Mean114.92832
Median Absolute Deviation (MAD)36.53
Skewness2.6421116
Sum14366.04
Variance24738.952
MonotonicityNot monotonic
2024-05-11T00:44:39.603972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 3
 
1.5%
1.0 2
 
1.0%
33.0 2
 
1.0%
84.39 2
 
1.0%
29.75 2
 
1.0%
5.0 2
 
1.0%
0.0 2
 
1.0%
14.0 2
 
1.0%
10.0 2
 
1.0%
934.0 1
 
0.5%
Other values (105) 105
51.7%
(Missing) 78
38.4%
ValueCountFrequency (%)
0.0 2
1.0%
1.0 2
1.0%
3.3 3
1.5%
4.29 1
 
0.5%
5.0 2
1.0%
6.6 1
 
0.5%
8.98 1
 
0.5%
9.9 1
 
0.5%
10.0 2
1.0%
11.34 1
 
0.5%
ValueCountFrequency (%)
934.0 1
0.5%
736.21 1
0.5%
717.74 1
0.5%
506.17 1
0.5%
451.29 1
0.5%
451.0 1
0.5%
429.0 1
0.5%
423.0 1
0.5%
396.6 1
0.5%
369.5 1
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)53.6%
Missing175
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean8.2857143
Minimum0
Maximum21
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:40.046729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q14
median5.5
Q315
95-th percentile17.65
Maximum21
Range21
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.0483064
Coefficient of variation (CV)0.72996802
Kurtosis-0.92257625
Mean8.2857143
Median Absolute Deviation (MAD)2.5
Skewness0.68154693
Sum232
Variance36.582011
MonotonicityNot monotonic
2024-05-11T00:44:40.496759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 5
 
2.5%
5 4
 
2.0%
17 2
 
1.0%
8 2
 
1.0%
3 2
 
1.0%
16 2
 
1.0%
15 2
 
1.0%
6 2
 
1.0%
18 1
 
0.5%
9 1
 
0.5%
Other values (5) 5
 
2.5%
(Missing) 175
86.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
4 5
2.5%
5 4
2.0%
6 2
 
1.0%
8 2
 
1.0%
9 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
21 1
 
0.5%
18 1
 
0.5%
17 2
1.0%
16 2
1.0%
15 2
1.0%
11 1
 
0.5%
9 1
 
0.5%
8 2
1.0%
6 2
1.0%
5 4
2.0%

지하층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)33.3%
Missing185
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean1.8333333
Minimum0
Maximum5
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T00:44:40.921590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32.75
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.5434873
Coefficient of variation (CV)0.84190215
Kurtosis0.13577199
Mean1.8333333
Median Absolute Deviation (MAD)0.5
Skewness1.0678081
Sum33
Variance2.3823529
MonotonicityNot monotonic
2024-05-11T00:44:41.278297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9
 
4.4%
5 2
 
1.0%
3 2
 
1.0%
0 2
 
1.0%
2 2
 
1.0%
4 1
 
0.5%
(Missing) 185
91.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 9
4.4%
2 2
 
1.0%
3 2
 
1.0%
4 1
 
0.5%
5 2
 
1.0%
ValueCountFrequency (%)
5 2
 
1.0%
4 1
 
0.5%
3 2
 
1.0%
2 2
 
1.0%
1 9
4.4%
0 2
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
172 
근린생활시설
 
13
사무실
 
10
아파트
 
4
다세대주택
 
2

Length

Max length6
Median length4
Mean length4.0689655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
84.7%
근린생활시설 13
 
6.4%
사무실 10
 
4.9%
아파트 4
 
2.0%
다세대주택 2
 
1.0%
판매시설 2
 
1.0%

Length

2024-05-11T00:44:41.798033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:42.342946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
84.7%
근린생활시설 13
 
6.4%
사무실 10
 
4.9%
아파트 4
 
2.0%
다세대주택 2
 
1.0%
판매시설 2
 
1.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
202 
0
 
1

Length

Max length4
Median length4
Mean length3.9852217
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> 202
99.5%
0 1
 
0.5%

Length

2024-05-11T00:44:42.904418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:43.259618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
99.5%
0 1
 
0.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
202 
0
 
1

Length

Max length4
Median length4
Mean length3.9852217
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> 202
99.5%
0 1
 
0.5%

Length

2024-05-11T00:44:43.835915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:44.195039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
99.5%
0 1
 
0.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
202 
0
 
1

Length

Max length4
Median length4
Mean length3.9852217
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> 202
99.5%
0 1
 
0.5%

Length

2024-05-11T00:44:44.557626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:44.913118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
99.5%
0 1
 
0.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
202 
0
 
1

Length

Max length4
Median length4
Mean length3.9852217
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> 202
99.5%
0 1
 
0.5%

Length

2024-05-11T00:44:45.342921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:45.685544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
99.5%
0 1
 
0.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
202 
0
 
1

Length

Max length4
Median length4
Mean length3.9852217
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> 202
99.5%
0 1
 
0.5%

Length

2024-05-11T00:44:46.062859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:46.368651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
99.5%
0 1
 
0.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
168 
주거지역
 
15
일반상업지역
 
11
일반주거지역
 
7
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.1871921
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 168
82.8%
주거지역 15
 
7.4%
일반상업지역 11
 
5.4%
일반주거지역 7
 
3.4%
준주거지역 1
 
0.5%
준공업지역 1
 
0.5%

Length

2024-05-11T00:44:46.924144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:47.598409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 168
82.8%
주거지역 15
 
7.4%
일반상업지역 11
 
5.4%
일반주거지역 7
 
3.4%
준주거지역 1
 
0.5%
준공업지역 1
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF224108200300000220030923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 **-*번지서울특별시 송파구 중대로 *** (오금동)5720D3i2011-10-30 14:07:42I2018-08-31 23:59:59.0<NA>211740.142265445099.088762게임물제작업유통관련업<NA><NA>게임물제작업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFF224108200400000120041206<NA>3폐업3폐업20180321<NA><NA><NA>070-7017-6919<NA><NA>서울특별시 송파구 가락동 **-*번지 대동빌딩 *층서울특별시 송파구 중대로 ***, *층 (가락동)5718(주)엔도어즈2018-03-21 10:01:31I2018-08-31 23:59:59.0<NA>210586.31995443521.245345게임물제작업유통관련업<NA><NA>게임물제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF224108200400000220041115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138864서울특별시 송파구 잠실동 ***-*번지 서경빌딩 ***호서울특별시 송파구 백제고분로**길 **, ***호 (잠실동,서경빌딩)<NA>(주)모바일아이앤케이2007-05-29 15:38:55I2018-08-31 23:59:59.0<NA>207663.048897445054.204644게임물제작업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
33230000CDFF224108200500000220051123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138864서울특별시 송파구 잠실동 ***-**번지서울특별시 송파구 백제고분로**길 ** (잠실동)<NA>(주)비비코퍼레이션2006-09-21 13:14:51I2018-08-31 23:59:59.0<NA>207676.944347444989.665008게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFF224108200500000320051110<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138847서울특별시 송파구 석촌동 ***-*번지서울특별시 송파구 백제고분로 *** (석촌동)<NA>(주)찬스스타트2006-10-12 10:27:54I2018-08-31 23:59:59.0<NA>209269.298482444673.833439게임물제작업유통관련업<NA><NA>게임물제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF224108200500000420050316<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138803서울특별시 송파구 가락동 **-*번지서울특별시 송파구 송파대로**길 ** (가락동)<NA>(주)엔오알지2007-01-31 18:11:30I2018-08-31 23:59:59.0<NA>210658.051559443620.612078게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF224108200500000520051129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 *-**번지 현대타워 ***호서울특별시 송파구 올림픽로 ***-**, ***호 (신천동,현대타워)<NA>(주)코에이테크모코리아2009-12-28 15:07:34I2018-08-31 23:59:59.0<NA>208992.217213445885.719952게임물제작업유통관련업<NA><NA>게임물제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFF224108200500000620051205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138827서울특별시 송파구 방이동 **번지서울특별시 송파구 올림픽로 *** (방이동)<NA>(주)아이원엔터테인먼트2007-03-22 09:27:50I2018-08-31 23:59:59.0<NA>209430.450574445913.088912게임물제작업유통관련업<NA><NA>게임물제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF224108200600000120060224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138878서울특별시 송파구 풍납동 ***-**번지서울특별시 송파구 강동대로*길 ** (풍납동)<NA>싸이닉스212006-02-24 17:58:14I2018-08-31 23:59:59.0<NA>210151.249113447295.700464게임물제작업유통관련업<NA>주택가주변<NA>34.23<NA><NA>다세대주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
93230000CDFF224108200600000220060306<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138805서울특별시 송파구 가락동 **-*번지서울특별시 송파구 송파대로**길 ** (가락동)<NA>마스2006-03-06 11:42:59I2018-08-31 23:59:59.0<NA>210491.68889443508.221246게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1933230000CDFF22410820240000012024-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-** 더잠실서울특별시 송파구 백제고분로**길 **-**, ***호 (잠실동, 더잠실)5565하우 게임 스튜디오2024-01-15 17:16:10I2023-11-30 23:07:00.0<NA>207588.952698445064.441407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1943230000CDFF22410820240000022024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***-* 라비앙로즈서울특별시 송파구 동남로**길 **-**, ***호 (가락동, 라비앙로즈)5826수플레이 엔터테인먼트2024-01-23 17:44:20I2023-11-30 22:05:00.0<NA>211197.949689443455.871035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1953230000CDFF22410820240000032024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 힐스테이트에코송파서울특별시 송파구 정의로*길 **, 힐스테이트에코송파 ***호 (문정동)5835Ty Craft2024-02-05 11:19:26I2023-12-02 00:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1963230000CDFF22410820240000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정현대지식산업센터*-*서울특별시 송파구 법원로**길 *, 문정현대지식산업센터*-* 씨동 ***호 (문정동)5836(주)레포르게임즈2024-02-23 10:35:56I2023-12-01 22:05:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1973230000CDFF22410820240000052024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***-*서울특별시 송파구 양재대로**길 **-**, B**호 (방이동)5639(주)빅스텝스튜디오2024-03-13 17:55:05I2023-12-02 23:05:00.0<NA>210925.694122445369.82687<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1983230000CDFF22410820240000062024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 *** 헬리오시티서울특별시 송파구 송파대로 ***, ***동 ****호 (가락동, 헬리오시티)5698보드콜리(Board Collie)2024-03-19 16:47:19I2023-12-02 22:01:00.0<NA>209412.19781443928.783342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1993230000CDFF22410820240000072024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-*서울특별시 송파구 백제고분로*길 **-**, *층 (잠실동)5560주식회사 매직빈게임즈2024-03-25 15:08:09I2023-12-02 22:07:00.0<NA>207170.295764445305.329985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2003230000CDFF22410820240000082017-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-*서울특별시 송파구 법원로*길 *, 청림타워 제*층 ***-***호 (문정동)5855(주)모아이게임즈2024-04-17 11:59:15U2023-12-03 23:09:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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2023230000CDFF22410820240000102018-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정역SKV*서울특별시 송파구 법원로 ***, 문정역SKV* C동 ***, ***호 (문정동)5854에스제이이앤엠(주)2024-05-02 17:42:48I2023-12-05 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>