Overview

Dataset statistics

Number of variables56
Number of observations147
Missing cells4364
Missing cells (%)53.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.9 KiB
Average record size in memory486.9 B

Variable types

Categorical15
Text7
DateTime4
Unsupported22
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16711/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.1%)Imbalance
영업상태명 is highly imbalanced (51.1%)Imbalance
상세영업상태코드 is highly imbalanced (51.1%)Imbalance
상세영업상태명 is highly imbalanced (51.1%)Imbalance
데이터갱신구분 is highly imbalanced (52.5%)Imbalance
건물용도명 is highly imbalanced (80.7%)Imbalance
통로너비 is highly imbalanced (85.6%)Imbalance
조명시설조도 is highly imbalanced (85.6%)Imbalance
노래방실수 is highly imbalanced (85.6%)Imbalance
청소년실수 is highly imbalanced (85.6%)Imbalance
총게임기수 is highly imbalanced (85.6%)Imbalance
인허가취소일자 has 147 (100.0%) missing valuesMissing
폐업일자 has 109 (74.1%) missing valuesMissing
휴업시작일자 has 147 (100.0%) missing valuesMissing
휴업종료일자 has 147 (100.0%) missing valuesMissing
재개업일자 has 147 (100.0%) missing valuesMissing
전화번호 has 112 (76.2%) missing valuesMissing
소재지면적 has 147 (100.0%) missing valuesMissing
소재지우편번호 has 98 (66.7%) missing valuesMissing
도로명주소 has 5 (3.4%) missing valuesMissing
도로명우편번호 has 72 (49.0%) missing valuesMissing
업태구분명 has 147 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.4%) missing valuesMissing
좌표정보(Y) has 2 (1.4%) missing valuesMissing
총층수 has 128 (87.1%) missing valuesMissing
주변환경명 has 141 (95.9%) missing valuesMissing
시설면적 has 66 (44.9%) missing valuesMissing
지상층수 has 127 (86.4%) missing valuesMissing
지하층수 has 133 (90.5%) missing valuesMissing
비상계단여부 has 147 (100.0%) missing valuesMissing
비상구여부 has 147 (100.0%) missing valuesMissing
자동환기여부 has 147 (100.0%) missing valuesMissing
청소년실여부 has 147 (100.0%) missing valuesMissing
특수조명여부 has 147 (100.0%) missing valuesMissing
방음시설여부 has 147 (100.0%) missing valuesMissing
비디오재생기명 has 147 (100.0%) missing valuesMissing
조명시설유무 has 147 (100.0%) missing valuesMissing
음향시설여부 has 147 (100.0%) missing valuesMissing
편의시설여부 has 147 (100.0%) missing valuesMissing
소방시설여부 has 147 (100.0%) missing valuesMissing
기존게임업외업종명 has 147 (100.0%) missing valuesMissing
제공게임물명 has 147 (100.0%) missing valuesMissing
공연장형태구분명 has 147 (100.0%) missing valuesMissing
품목명 has 147 (100.0%) missing valuesMissing
최초등록시점 has 147 (100.0%) missing valuesMissing
지역구분명 has 135 (91.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 2 (1.4%) zerosZeros
시설면적 has 3 (2.0%) zerosZeros
지상층수 has 2 (1.4%) zerosZeros
지하층수 has 2 (1.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:39:17.971092
Analysis finished2024-05-11 05:39:19.158278
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3200000
147 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 147
100.0%

Length

2024-05-11T14:39:19.303464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:19.505638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 147
100.0%

관리번호
Text

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T14:39:19.809994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2940
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

Unique147 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241082000000001
3rd rowCDFF2241082000000002
4th rowCDFF2241082000000003
5th rowCDFF2241082000000004
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.7%
cdff2241082011000014 1
 
0.7%
cdff2241082016000003 1
 
0.7%
cdff2241082014000012 1
 
0.7%
cdff2241082014000013 1
 
0.7%
cdff2241082015000001 1
 
0.7%
cdff2241082015000002 1
 
0.7%
cdff2241082015000003 1
 
0.7%
cdff2241082016000002 1
 
0.7%
cdff2241082016000004 1
 
0.7%
Other values (137) 137
93.2%
2024-05-11T14:39:20.400991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1092
37.1%
2 497
16.9%
F 294
 
10.0%
1 277
 
9.4%
4 189
 
6.4%
8 161
 
5.5%
C 147
 
5.0%
D 147
 
5.0%
3 35
 
1.2%
6 31
 
1.1%
Other values (3) 70
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2352
80.0%
Uppercase Letter 588
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1092
46.4%
2 497
21.1%
1 277
 
11.8%
4 189
 
8.0%
8 161
 
6.8%
3 35
 
1.5%
6 31
 
1.3%
5 27
 
1.1%
9 25
 
1.1%
7 18
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 294
50.0%
C 147
25.0%
D 147
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2352
80.0%
Latin 588
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1092
46.4%
2 497
21.1%
1 277
 
11.8%
4 189
 
8.0%
8 161
 
6.8%
3 35
 
1.5%
6 31
 
1.3%
5 27
 
1.1%
9 25
 
1.1%
7 18
 
0.8%
Latin
ValueCountFrequency (%)
F 294
50.0%
C 147
25.0%
D 147
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1092
37.1%
2 497
16.9%
F 294
 
10.0%
1 277
 
9.4%
4 189
 
6.4%
8 161
 
5.5%
C 147
 
5.0%
D 147
 
5.0%
3 35
 
1.2%
6 31
 
1.1%
Other values (3) 70
 
2.4%

인허가일자
Date

Distinct141
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1999-11-19 00:00:00
Maximum2024-04-02 00:00:00
2024-05-11T14:39:20.652392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:20.897932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
109 
3
34 
4
 
2
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 109
74.1%
3 34
 
23.1%
4 2
 
1.4%
5 2
 
1.4%

Length

2024-05-11T14:39:21.158020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:21.332460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 109
74.1%
3 34
 
23.1%
4 2
 
1.4%
5 2
 
1.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
109 
폐업
34 
취소/말소/만료/정지/중지
 
2
제외/삭제/전출
 
2

Length

Max length14
Median length5
Mean length4.4693878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 109
74.1%
폐업 34
 
23.1%
취소/말소/만료/정지/중지 2
 
1.4%
제외/삭제/전출 2
 
1.4%

Length

2024-05-11T14:39:21.564015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:21.777851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 109
74.1%
폐업 34
 
23.1%
취소/말소/만료/정지/중지 2
 
1.4%
제외/삭제/전출 2
 
1.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
13
109 
3
34 
35
 
2
15
 
2

Length

Max length2
Median length2
Mean length1.7687075
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 109
74.1%
3 34
 
23.1%
35 2
 
1.4%
15 2
 
1.4%

Length

2024-05-11T14:39:21.962445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:22.151726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 109
74.1%
3 34
 
23.1%
35 2
 
1.4%
15 2
 
1.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
109 
폐업
34 
직권말소
 
2
전출
 
2

Length

Max length4
Median length3
Mean length2.7687075
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 109
74.1%
폐업 34
 
23.1%
직권말소 2
 
1.4%
전출 2
 
1.4%

Length

2024-05-11T14:39:22.494142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:22.704064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 109
74.1%
폐업 34
 
23.1%
직권말소 2
 
1.4%
전출 2
 
1.4%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)97.4%
Missing109
Missing (%)74.1%
Memory size1.3 KiB
Minimum2003-03-22 00:00:00
Maximum2023-12-12 00:00:00
2024-05-11T14:39:22.896490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:23.484296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing112
Missing (%)76.2%
Memory size1.3 KiB
2024-05-11T14:39:23.852340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.5142857
Min length8

Characters and Unicode

Total characters333
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

Unique35 ?
Unique (%)100.0%

Sample

1st row898-0940
2nd row887-8067
3rd row6278-9981
4th row888-1555
5th row3487-6000
ValueCountFrequency (%)
898-0940 1
 
2.9%
070-7432-1643 1
 
2.9%
02-883-3877 1
 
2.9%
6342-3352 1
 
2.9%
02-1600-5156 1
 
2.9%
02-2101-2300 1
 
2.9%
02-737-7230 1
 
2.9%
02-879-2007 1
 
2.9%
027372378 1
 
2.9%
877-6638 1
 
2.9%
Other values (25) 25
71.4%
2024-05-11T14:39:24.517991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 49
14.7%
8 48
14.4%
0 46
13.8%
- 45
13.5%
2 30
9.0%
1 26
7.8%
3 26
7.8%
5 18
 
5.4%
6 17
 
5.1%
4 16
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
86.5%
Dash Punctuation 45
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 49
17.0%
8 48
16.7%
0 46
16.0%
2 30
10.4%
1 26
9.0%
3 26
9.0%
5 18
 
6.2%
6 17
 
5.9%
4 16
 
5.6%
9 12
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 49
14.7%
8 48
14.4%
0 46
13.8%
- 45
13.5%
2 30
9.0%
1 26
7.8%
3 26
7.8%
5 18
 
5.4%
6 17
 
5.1%
4 16
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 49
14.7%
8 48
14.4%
0 46
13.8%
- 45
13.5%
2 30
9.0%
1 26
7.8%
3 26
7.8%
5 18
 
5.4%
6 17
 
5.1%
4 16
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)63.3%
Missing98
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean151786.35
Minimum151015
Maximum151930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:24.768005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151015
5-th percentile151041
Q1151830
median151849
Q3151880
95-th percentile151903
Maximum151930
Range915
Interquartile range (IQR)50

Descriptive statistics

Standard deviation230.7249
Coefficient of variation (CV)0.0015200636
Kurtosis7.7478928
Mean151786.35
Median Absolute Deviation (MAD)27
Skewness-3.0115383
Sum7437531
Variance53233.981
MonotonicityNot monotonic
2024-05-11T14:39:25.000044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
151851 6
 
4.1%
151903 4
 
2.7%
151015 3
 
2.0%
151832 3
 
2.0%
151849 3
 
2.0%
151843 2
 
1.4%
151818 2
 
1.4%
151895 2
 
1.4%
151841 2
 
1.4%
151840 1
 
0.7%
Other values (21) 21
 
14.3%
(Missing) 98
66.7%
ValueCountFrequency (%)
151015 3
2.0%
151080 1
 
0.7%
151729 1
 
0.7%
151770 1
 
0.7%
151800 1
 
0.7%
151802 1
 
0.7%
151817 1
 
0.7%
151818 2
1.4%
151822 1
 
0.7%
151830 1
 
0.7%
ValueCountFrequency (%)
151930 1
 
0.7%
151927 1
 
0.7%
151903 4
2.7%
151902 1
 
0.7%
151899 1
 
0.7%
151895 2
1.4%
151891 1
 
0.7%
151890 1
 
0.7%
151880 1
 
0.7%
151869 1
 
0.7%

지번주소
Text

Distinct120
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T14:39:25.438396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length29.408163
Min length14

Characters and Unicode

Total characters4323
Distinct characters161
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

Unique106 ?
Unique (%)72.1%

Sample

1st row서울특별시 관악구 신림동 ****-**번지
2nd row서울특별시 관악구 봉천동 ***-*번지 관악전화국 *층
3rd row서울특별시 관악구 봉천동 ***-*번지 세종오피스텔 ***
4th row서울특별시 관악구 봉천동 산 *-*번지 서울대연구공원본관 ***호, ***호
5th row서울특별시 관악구 봉천동 ****-**번지
ValueCountFrequency (%)
서울특별시 147
18.3%
관악구 146
18.2%
번지 122
15.2%
봉천동 84
10.5%
신림동 54
 
6.7%
호 49
 
6.1%
층 45
 
5.6%
28
 
3.5%
산 11
 
1.4%
남현동 8
 
1.0%
Other values (89) 109
13.6%
2024-05-11T14:39:26.140915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 975
22.6%
743
17.2%
동 163
 
3.8%
구 162
 
3.7%
서 160
 
3.7%
관 160
 
3.7%
울 158
 
3.7%
악 156
 
3.6%
시 149
 
3.4%
특 147
 
3.4%
Other values (151) 1350
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2432
56.3%
Other Punctuation 981
22.7%
Space Separator 743
 
17.2%
Dash Punctuation 139
 
3.2%
Uppercase Letter 14
 
0.3%
Decimal Number 7
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 163
 
6.7%
구 162
 
6.7%
서 160
 
6.6%
관 160
 
6.6%
울 158
 
6.5%
악 156
 
6.4%
시 149
 
6.1%
특 147
 
6.0%
별 147
 
6.0%
지 132
 
5.4%
Other values (132) 898
36.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
K 3
21.4%
T 2
 
14.3%
E 1
 
7.1%
C 1
 
7.1%
M 1
 
7.1%
S 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
2 2
28.6%
5 1
14.3%
4 1
14.3%
0 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 975
99.4%
, 6
 
0.6%
Space Separator
ValueCountFrequency (%)
743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2432
56.3%
Common 1876
43.4%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 163
 
6.7%
구 162
 
6.7%
서 160
 
6.6%
관 160
 
6.6%
울 158
 
6.5%
악 156
 
6.4%
시 149
 
6.1%
특 147
 
6.0%
별 147
 
6.0%
지 132
 
5.4%
Other values (132) 898
36.9%
Common
ValueCountFrequency (%)
* 975
52.0%
743
39.6%
- 139
 
7.4%
, 6
 
0.3%
) 3
 
0.2%
( 3
 
0.2%
8 2
 
0.1%
2 2
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
B 5
33.3%
K 3
20.0%
T 2
 
13.3%
E 1
 
6.7%
e 1
 
6.7%
C 1
 
6.7%
M 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2432
56.3%
ASCII 1891
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 975
51.6%
743
39.3%
- 139
 
7.4%
, 6
 
0.3%
B 5
 
0.3%
K 3
 
0.2%
) 3
 
0.2%
( 3
 
0.2%
8 2
 
0.1%
2 2
 
0.1%
Other values (9) 10
 
0.5%
Hangul
ValueCountFrequency (%)
동 163
 
6.7%
구 162
 
6.7%
서 160
 
6.6%
관 160
 
6.6%
울 158
 
6.5%
악 156
 
6.4%
시 149
 
6.1%
특 147
 
6.0%
별 147
 
6.0%
지 132
 
5.4%
Other values (132) 898
36.9%

도로명주소
Text

MISSING 

Distinct134
Distinct (%)94.4%
Missing5
Missing (%)3.4%
Memory size1.3 KiB
2024-05-11T14:39:26.675916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length33.633803
Min length21

Characters and Unicode

Total characters4776
Distinct characters185
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

Unique128 ?
Unique (%)90.1%

Sample

1st row서울특별시 관악구 조원로**길 * (신림동)
2nd row서울특별시 관악구 청룡*길 ** (봉천동,관악전화국 *층)
3rd row서울특별시 관악구 관악로**길 ** (봉천동,세종오피스텔 ***)
4th row서울특별시 관악구 관악로 * (봉천동,서울대연구공원본관 ***호, ***호)
5th row서울특별시 관악구 솔밭로 * (봉천동)
ValueCountFrequency (%)
146
16.5%
서울특별시 142
16.0%
관악구 141
15.9%
호 57
 
6.4%
봉천동 52
 
5.9%
층 47
 
5.3%
신림동 35
 
4.0%
남부순환로 28
 
3.2%
관악로 11
 
1.2%
봉천로 10
 
1.1%
Other values (152) 216
24.4%
2024-05-11T14:39:27.499498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
804
16.8%
* 782
16.4%
관 173
 
3.6%
악 168
 
3.5%
동 160
 
3.4%
, 157
 
3.3%
서 153
 
3.2%
구 152
 
3.2%
울 151
 
3.2%
시 146
 
3.1%
Other values (175) 1930
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2701
56.6%
Other Punctuation 939
 
19.7%
Space Separator 804
 
16.8%
Close Punctuation 145
 
3.0%
Open Punctuation 145
 
3.0%
Dash Punctuation 23
 
0.5%
Uppercase Letter 12
 
0.3%
Decimal Number 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 173
 
6.4%
악 168
 
6.2%
동 160
 
5.9%
서 153
 
5.7%
구 152
 
5.6%
울 151
 
5.6%
시 146
 
5.4%
특 142
 
5.3%
별 142
 
5.3%
로 118
 
4.4%
Other values (156) 1196
44.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
33.3%
K 3
25.0%
T 1
 
8.3%
C 1
 
8.3%
M 1
 
8.3%
J 1
 
8.3%
S 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
2 1
16.7%
0 1
16.7%
1 1
16.7%
3 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 782
83.3%
, 157
 
16.7%
Space Separator
ValueCountFrequency (%)
804
100.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2701
56.6%
Common 2062
43.2%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 173
 
6.4%
악 168
 
6.2%
동 160
 
5.9%
서 153
 
5.7%
구 152
 
5.6%
울 151
 
5.6%
시 146
 
5.4%
특 142
 
5.3%
별 142
 
5.3%
로 118
 
4.4%
Other values (156) 1196
44.3%
Common
ValueCountFrequency (%)
804
39.0%
* 782
37.9%
, 157
 
7.6%
) 145
 
7.0%
( 145
 
7.0%
- 23
 
1.1%
4 2
 
0.1%
2 1
 
< 0.1%
0 1
 
< 0.1%
1 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 4
30.8%
K 3
23.1%
T 1
 
7.7%
C 1
 
7.7%
M 1
 
7.7%
e 1
 
7.7%
J 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2701
56.6%
ASCII 2075
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
804
38.7%
* 782
37.7%
, 157
 
7.6%
) 145
 
7.0%
( 145
 
7.0%
- 23
 
1.1%
B 4
 
0.2%
K 3
 
0.1%
4 2
 
0.1%
2 1
 
< 0.1%
Other values (9) 9
 
0.4%
Hangul
ValueCountFrequency (%)
관 173
 
6.4%
악 168
 
6.2%
동 160
 
5.9%
서 153
 
5.7%
구 152
 
5.6%
울 151
 
5.6%
시 146
 
5.4%
특 142
 
5.3%
별 142
 
5.3%
로 118
 
4.4%
Other values (156) 1196
44.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)70.7%
Missing72
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean16408.32
Minimum8700
Maximum151919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:27.735874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8718.5
Q18754
median8786
Q38801
95-th percentile51756
Maximum151919
Range143219
Interquartile range (IQR)47

Descriptive statistics

Standard deviation32370.123
Coefficient of variation (CV)1.9727872
Kurtosis14.857427
Mean16408.32
Median Absolute Deviation (MAD)27
Skewness4.0573119
Sum1230624
Variance1.0478249 × 109
MonotonicityNot monotonic
2024-05-11T14:39:27.981723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8789 4
 
2.7%
8787 4
 
2.7%
8758 3
 
2.0%
8786 3
 
2.0%
8801 3
 
2.0%
8742 3
 
2.0%
8767 3
 
2.0%
8807 2
 
1.4%
8754 2
 
1.4%
8734 2
 
1.4%
Other values (43) 46
31.3%
(Missing) 72
49.0%
ValueCountFrequency (%)
8700 1
0.7%
8702 2
1.4%
8715 1
0.7%
8720 2
1.4%
8728 1
0.7%
8734 2
1.4%
8736 1
0.7%
8737 1
0.7%
8738 1
0.7%
8739 1
0.7%
ValueCountFrequency (%)
151919 1
0.7%
151890 1
0.7%
151851 1
0.7%
151835 1
0.7%
8865 1
0.7%
8855 1
0.7%
8852 1
0.7%
8846 1
0.7%
8840 1
0.7%
8832 1
0.7%

사업장명
Text

Distinct145
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T14:39:28.375516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length7
Min length2

Characters and Unicode

Total characters1029
Distinct characters241
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)97.3%

Sample

1st row패밀리프로덕션
2nd row가로세로
3rd row이즈플레이
4th row올엠
5th row한서미디어
ValueCountFrequency (%)
주식회사 17
 
8.9%
스튜디오 6
 
3.1%
dmb프라자 3
 
1.6%
소프트 3
 
1.6%
게임즈 2
 
1.0%
게임 2
 
1.0%
오란디프 2
 
1.0%
studio 1
 
0.5%
tod 1
 
0.5%
세종소프트 1
 
0.5%
Other values (153) 153
80.1%
2024-05-11T14:39:29.055782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 47
 
4.6%
스 45
 
4.4%
44
 
4.3%
) 35
 
3.4%
( 35
 
3.4%
이 29
 
2.8%
프 25
 
2.4%
트 24
 
2.3%
사 22
 
2.1%
회 18
 
1.7%
Other values (231) 705
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
76.4%
Lowercase Letter 79
 
7.7%
Uppercase Letter 45
 
4.4%
Space Separator 44
 
4.3%
Close Punctuation 35
 
3.4%
Open Punctuation 35
 
3.4%
Decimal Number 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
6.0%
스 45
 
5.7%
이 29
 
3.7%
프 25
 
3.2%
트 24
 
3.1%
사 22
 
2.8%
회 18
 
2.3%
임 18
 
2.3%
디 18
 
2.3%
식 18
 
2.3%
Other values (183) 522
66.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
 
11.1%
B 4
 
8.9%
P 3
 
6.7%
A 3
 
6.7%
D 3
 
6.7%
M 3
 
6.7%
O 3
 
6.7%
E 2
 
4.4%
I 2
 
4.4%
L 2
 
4.4%
Other values (11) 15
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 11
13.9%
s 7
 
8.9%
a 7
 
8.9%
m 6
 
7.6%
t 6
 
7.6%
o 6
 
7.6%
b 5
 
6.3%
n 5
 
6.3%
l 4
 
5.1%
d 4
 
5.1%
Other values (10) 18
22.8%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
2 1
25.0%
9 1
25.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
76.4%
Latin 124
 
12.1%
Common 119
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
6.0%
스 45
 
5.7%
이 29
 
3.7%
프 25
 
3.2%
트 24
 
3.1%
사 22
 
2.8%
회 18
 
2.3%
임 18
 
2.3%
디 18
 
2.3%
식 18
 
2.3%
Other values (183) 522
66.4%
Latin
ValueCountFrequency (%)
e 11
 
8.9%
s 7
 
5.6%
a 7
 
5.6%
m 6
 
4.8%
t 6
 
4.8%
o 6
 
4.8%
b 5
 
4.0%
n 5
 
4.0%
S 5
 
4.0%
l 4
 
3.2%
Other values (31) 62
50.0%
Common
ValueCountFrequency (%)
44
37.0%
) 35
29.4%
( 35
29.4%
0 2
 
1.7%
. 1
 
0.8%
2 1
 
0.8%
9 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
76.4%
ASCII 243
 
23.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 47
 
6.0%
스 45
 
5.7%
이 29
 
3.7%
프 25
 
3.2%
트 24
 
3.1%
사 22
 
2.8%
회 18
 
2.3%
임 18
 
2.3%
디 18
 
2.3%
식 18
 
2.3%
Other values (183) 522
66.4%
ASCII
ValueCountFrequency (%)
44
18.1%
) 35
14.4%
( 35
14.4%
e 11
 
4.5%
s 7
 
2.9%
a 7
 
2.9%
m 6
 
2.5%
t 6
 
2.5%
o 6
 
2.5%
b 5
 
2.1%
Other values (38) 81
33.3%

최종수정일자
Date

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2006-03-09 10:53:35
Maximum2024-04-02 13:59:48
2024-05-11T14:39:29.254691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:29.449219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
132 
U
15 

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 132
89.8%
U 15
 
10.2%

Length

2024-05-11T14:39:29.658001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:29.800883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 132
89.8%
u 15
 
10.2%

데이터갱신일자
Date

Distinct39
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T14:39:29.951492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:30.156842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)82.8%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean195008.78
Minimum191177.9
Maximum198401.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:30.488100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191177.9
5-th percentile191679.23
Q1193746.83
median195358.22
Q3196422.25
95-th percentile197534.82
Maximum198401.27
Range7223.3696
Interquartile range (IQR)2675.4165

Descriptive statistics

Standard deviation1726.8894
Coefficient of variation (CV)0.0088554442
Kurtosis-0.61270899
Mean195008.78
Median Absolute Deviation (MAD)1162.0624
Skewness-0.33293263
Sum28276273
Variance2982147
MonotonicityNot monotonic
2024-05-11T14:39:30.750262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196467.062244503 6
 
4.1%
191565.864065099 3
 
2.0%
196510.431759616 3
 
2.0%
196325.627088065 3
 
2.0%
196668.226137898 3
 
2.0%
195588.796492288 3
 
2.0%
196499.311755636 2
 
1.4%
195550.374056033 2
 
1.4%
195703.043681259 2
 
1.4%
193335.399293698 2
 
1.4%
Other values (110) 116
78.9%
ValueCountFrequency (%)
191177.900015773 1
 
0.7%
191351.294437084 1
 
0.7%
191389.450907979 1
 
0.7%
191530.450376231 1
 
0.7%
191565.864065099 3
2.0%
191671.48539023 1
 
0.7%
191710.230884279 1
 
0.7%
192046.31533453 1
 
0.7%
192096.349629652 1
 
0.7%
192191.824105246 1
 
0.7%
ValueCountFrequency (%)
198401.269595527 1
0.7%
198297.240031378 1
0.7%
198268.135159088 1
0.7%
198256.271574399 1
0.7%
198142.028597565 1
0.7%
197999.484352853 1
0.7%
197837.633408238 1
0.7%
197617.229063943 1
0.7%
197205.171836809 1
0.7%
197136.483201593 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)82.8%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean441940.72
Minimum439023.17
Maximum452259.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:31.013400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile439837
Q1441468.24
median442035.53
Q3442423.4
95-th percentile443049.63
Maximum452259.09
Range13235.923
Interquartile range (IQR)955.15862

Descriptive statistics

Standard deviation1219.2771
Coefficient of variation (CV)0.0027589155
Kurtosis35.217235
Mean441940.72
Median Absolute Deviation (MAD)475.2491
Skewness3.8237762
Sum64081405
Variance1486636.6
MonotonicityNot monotonic
2024-05-11T14:39:31.261249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439809.669640911 6
 
4.1%
442267.062897533 3
 
2.0%
440540.10250998 3
 
2.0%
443143.498321861 3
 
2.0%
441640.722371723 3
 
2.0%
442098.372819317 3
 
2.0%
441722.927964312 2
 
1.4%
442211.44810367 2
 
1.4%
442094.085759338 2
 
1.4%
443291.231245754 2
 
1.4%
Other values (110) 116
78.9%
ValueCountFrequency (%)
439023.167125842 2
 
1.4%
439809.669640911 6
4.1%
439946.302906409 1
 
0.7%
440404.211595974 1
 
0.7%
440514.391029933 1
 
0.7%
440540.10250998 3
2.0%
440744.128260059 2
 
1.4%
440800.07012522 1
 
0.7%
440879.773539101 1
 
0.7%
440917.845099207 1
 
0.7%
ValueCountFrequency (%)
452259.089626161 1
 
0.7%
443291.231245754 2
1.4%
443143.498321861 3
2.0%
443064.437566493 1
 
0.7%
443051.057943699 1
 
0.7%
443043.898927966 1
 
0.7%
443013.429722508 1
 
0.7%
443011.455007816 1
 
0.7%
442926.055529745 2
1.4%
442910.414962241 1
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
게임물제작업
130 
<NA>
17 

Length

Max length6
Median length6
Mean length5.7687075
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 130
88.4%
<NA> 17
 
11.6%

Length

2024-05-11T14:39:31.498997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:31.690839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 130
88.4%
na 17
 
11.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유통관련업
130 
<NA>
17 

Length

Max length5
Median length5
Mean length4.8843537
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 130
88.4%
<NA> 17
 
11.6%

Length

2024-05-11T14:39:31.869614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:32.050187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 130
88.4%
na 17
 
11.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)63.2%
Missing128
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean8.2105263
Minimum0
Maximum22
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:32.227403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median5
Q312.5
95-th percentile20.2
Maximum22
Range22
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation7.0520206
Coefficient of variation (CV)0.85889994
Kurtosis-0.69454758
Mean8.2105263
Median Absolute Deviation (MAD)4
Skewness0.75678533
Sum156
Variance49.730994
MonotonicityNot monotonic
2024-05-11T14:39:32.383414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 3
 
2.0%
5 3
 
2.0%
1 2
 
1.4%
18 2
 
1.4%
0 2
 
1.4%
9 1
 
0.7%
7 1
 
0.7%
10 1
 
0.7%
15 1
 
0.7%
22 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 128
87.1%
ValueCountFrequency (%)
0 2
1.4%
1 2
1.4%
4 3
2.0%
5 3
2.0%
7 1
 
0.7%
8 1
 
0.7%
9 1
 
0.7%
10 1
 
0.7%
15 1
 
0.7%
18 2
1.4%
ValueCountFrequency (%)
22 1
 
0.7%
20 1
 
0.7%
18 2
1.4%
15 1
 
0.7%
10 1
 
0.7%
9 1
 
0.7%
8 1
 
0.7%
7 1
 
0.7%
5 3
2.0%
4 3
2.0%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing141
Missing (%)95.9%
Memory size1.3 KiB
2024-05-11T14:39:32.568809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length4
Min length2

Characters and Unicode

Total characters24
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st row학교정화(상대)
2nd row기타
3rd row주택가주변
4th row기타
5th row주택가주변
ValueCountFrequency (%)
기타 3
50.0%
주택가주변 2
33.3%
학교정화(상대 1
 
16.7%
2024-05-11T14:39:33.024373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
16.7%
기 3
12.5%
타 3
12.5%
택 2
8.3%
가 2
8.3%
변 2
8.3%
학 1
 
4.2%
교 1
 
4.2%
정 1
 
4.2%
화 1
 
4.2%
Other values (4) 4
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
91.7%
Open Punctuation 1
 
4.2%
Close Punctuation 1
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
18.2%
기 3
13.6%
타 3
13.6%
택 2
9.1%
가 2
9.1%
변 2
9.1%
학 1
 
4.5%
교 1
 
4.5%
정 1
 
4.5%
화 1
 
4.5%
Other values (2) 2
9.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
91.7%
Common 2
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
18.2%
기 3
13.6%
타 3
13.6%
택 2
9.1%
가 2
9.1%
변 2
9.1%
학 1
 
4.5%
교 1
 
4.5%
정 1
 
4.5%
화 1
 
4.5%
Other values (2) 2
9.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
91.7%
ASCII 2
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
18.2%
기 3
13.6%
타 3
13.6%
택 2
9.1%
가 2
9.1%
변 2
9.1%
학 1
 
4.5%
교 1
 
4.5%
정 1
 
4.5%
화 1
 
4.5%
Other values (2) 2
9.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Categorical

Distinct45
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
게임물
51 
<NA>
27 
모바일게임
6 
모바일 게임
6 
온라인게임
 
5
Other values (40)
52 

Length

Max length37
Median length17
Mean length5.2585034
Min length2

Unique

Unique32 ?
Unique (%)21.8%

Sample

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

Common Values

ValueCountFrequency (%)
게임물 51
34.7%
<NA> 27
18.4%
모바일게임 6
 
4.1%
모바일 게임 6
 
4.1%
온라인게임 5
 
3.4%
온라인게임물 5
 
3.4%
게임 소프트웨어 3
 
2.0%
게임 2
 
1.4%
소프트웨어개발 2
 
1.4%
온라인 게임 2
 
1.4%
Other values (35) 38
25.9%

Length

2024-05-11T14:39:33.339260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
게임물 52
27.5%
na 27
14.3%
게임 17
 
9.0%
모바일게임 13
 
6.9%
모바일 11
 
5.8%
온라인게임 7
 
3.7%
소프트웨어 6
 
3.2%
온라인게임물 5
 
2.6%
pc게임 3
 
1.6%
pc 3
 
1.6%
Other values (36) 45
23.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct64
Distinct (%)79.0%
Missing66
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean111.42556
Minimum0
Maximum4432.32
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:33.564209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q120
median33.05
Q375.9
95-th percentile176
Maximum4432.32
Range4432.32
Interquartile range (IQR)55.9

Descriptive statistics

Standard deviation489.11831
Coefficient of variation (CV)4.3896421
Kurtosis78.944042
Mean111.42556
Median Absolute Deviation (MAD)20.05
Skewness8.8324607
Sum9025.47
Variance239236.72
MonotonicityNot monotonic
2024-05-11T14:39:33.781936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 7
 
4.8%
15.0 3
 
2.0%
0.0 3
 
2.0%
23.0 2
 
1.4%
23.1 2
 
1.4%
17.0 2
 
1.4%
16.0 2
 
1.4%
135.3 2
 
1.4%
66.0 2
 
1.4%
9.9 2
 
1.4%
Other values (54) 54
36.7%
(Missing) 66
44.9%
ValueCountFrequency (%)
0.0 3
2.0%
8.0 1
 
0.7%
9.0 1
 
0.7%
9.9 2
1.4%
12.92 1
 
0.7%
13.0 1
 
0.7%
15.0 3
2.0%
16.0 2
1.4%
16.5 1
 
0.7%
17.0 2
1.4%
ValueCountFrequency (%)
4432.32 1
0.7%
255.64 1
0.7%
209.56 1
0.7%
205.0 1
0.7%
176.0 1
0.7%
171.25 1
0.7%
165.0 1
0.7%
160.74 1
0.7%
140.09 1
0.7%
136.49 1
0.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)40.0%
Missing127
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean5.7
Minimum0
Maximum15
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:33.996881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q38
95-th percentile15
Maximum15
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8568996
Coefficient of variation (CV)0.85208765
Kurtosis-0.083475005
Mean5.7
Median Absolute Deviation (MAD)2.5
Skewness0.97485874
Sum114
Variance23.589474
MonotonicityNot monotonic
2024-05-11T14:39:34.161151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 4
 
2.7%
3 4
 
2.7%
15 3
 
2.0%
6 2
 
1.4%
1 2
 
1.4%
8 2
 
1.4%
0 2
 
1.4%
11 1
 
0.7%
(Missing) 127
86.4%
ValueCountFrequency (%)
0 2
1.4%
1 2
1.4%
3 4
2.7%
4 4
2.7%
6 2
1.4%
8 2
1.4%
11 1
 
0.7%
15 3
2.0%
ValueCountFrequency (%)
15 3
2.0%
11 1
 
0.7%
8 2
1.4%
6 2
1.4%
4 4
2.7%
3 4
2.7%
1 2
1.4%
0 2
1.4%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)50.0%
Missing133
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum7
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:39:34.363520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32.75
95-th percentile5.7
Maximum7
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.0380987
Coefficient of variation (CV)1.0190493
Kurtosis1.563599
Mean2
Median Absolute Deviation (MAD)0.5
Skewness1.462874
Sum28
Variance4.1538462
MonotonicityNot monotonic
2024-05-11T14:39:34.581398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 7
 
4.8%
0 2
 
1.4%
2 1
 
0.7%
3 1
 
0.7%
4 1
 
0.7%
7 1
 
0.7%
5 1
 
0.7%
(Missing) 133
90.5%
ValueCountFrequency (%)
0 2
 
1.4%
1 7
4.8%
2 1
 
0.7%
3 1
 
0.7%
4 1
 
0.7%
5 1
 
0.7%
7 1
 
0.7%
ValueCountFrequency (%)
7 1
 
0.7%
5 1
 
0.7%
4 1
 
0.7%
3 1
 
0.7%
2 1
 
0.7%
1 7
4.8%
0 2
 
1.4%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
138 
교육연구시설
 
3
근린생활시설
 
3
다가구용 주택(공동주택적용)
 
2
사무실
 
1

Length

Max length15
Median length4
Mean length4.2244898
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
93.9%
교육연구시설 3
 
2.0%
근린생활시설 3
 
2.0%
다가구용 주택(공동주택적용) 2
 
1.4%
사무실 1
 
0.7%

Length

2024-05-11T14:39:34.799150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:35.016202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
92.6%
교육연구시설 3
 
2.0%
근린생활시설 3
 
2.0%
다가구용 2
 
1.3%
주택(공동주택적용 2
 
1.3%
사무실 1
 
0.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
144 
0
 
3

Length

Max length4
Median length4
Mean length3.9387755
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> 144
98.0%
0 3
 
2.0%

Length

2024-05-11T14:39:35.256410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:35.427634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
98.0%
0 3
 
2.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
144 
0
 
3

Length

Max length4
Median length4
Mean length3.9387755
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> 144
98.0%
0 3
 
2.0%

Length

2024-05-11T14:39:35.602901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:35.822540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
98.0%
0 3
 
2.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
144 
0
 
3

Length

Max length4
Median length4
Mean length3.9387755
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> 144
98.0%
0 3
 
2.0%

Length

2024-05-11T14:39:35.995174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.174659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
98.0%
0 3
 
2.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
144 
0
 
3

Length

Max length4
Median length4
Mean length3.9387755
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> 144
98.0%
0 3
 
2.0%

Length

2024-05-11T14:39:36.720648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.901476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
98.0%
0 3
 
2.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
144 
0
 
3

Length

Max length4
Median length4
Mean length3.9387755
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> 144
98.0%
0 3
 
2.0%

Length

2024-05-11T14:39:37.103531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:37.314261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
98.0%
0 3
 
2.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

지역구분명
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing135
Missing (%)91.8%
Memory size1.3 KiB
2024-05-11T14:39:37.526504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters66
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)25.0%

Sample

1st row준공업지역
2nd row자연녹지지역
3rd row일반상업지역
4th row주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반상업지역 3
25.0%
일반주거지역 3
25.0%
준주거지역 3
25.0%
준공업지역 1
 
8.3%
자연녹지지역 1
 
8.3%
주거지역 1
 
8.3%
2024-05-11T14:39:37.961517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 13
19.7%
역 12
18.2%
주 7
10.6%
거 7
10.6%
일 6
9.1%
반 6
9.1%
업 4
 
6.1%
준 4
 
6.1%
상 3
 
4.5%
공 1
 
1.5%
Other values (3) 3
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 13
19.7%
역 12
18.2%
주 7
10.6%
거 7
10.6%
일 6
9.1%
반 6
9.1%
업 4
 
6.1%
준 4
 
6.1%
상 3
 
4.5%
공 1
 
1.5%
Other values (3) 3
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 13
19.7%
역 12
18.2%
주 7
10.6%
거 7
10.6%
일 6
9.1%
반 6
9.1%
업 4
 
6.1%
준 4
 
6.1%
상 3
 
4.5%
공 1
 
1.5%
Other values (3) 3
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 13
19.7%
역 12
18.2%
주 7
10.6%
거 7
10.6%
일 6
9.1%
반 6
9.1%
업 4
 
6.1%
준 4
 
6.1%
상 3
 
4.5%
공 1
 
1.5%
Other values (3) 3
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF224108199900000119991119<NA>1영업/정상13영업중<NA><NA><NA><NA>898-0940<NA><NA>서울특별시 관악구 신림동 ****-**번지서울특별시 관악구 조원로**길 * (신림동)<NA>패밀리프로덕션2011-10-31 10:20:43I2018-08-31 23:59:59.0<NA>191671.48539442408.154146게임물제작업유통관련업<NA><NA>게임물30.0<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>
13200000CDFF224108200000000120001010<NA>1영업/정상13영업중<NA><NA><NA><NA>887-8067<NA><NA>서울특별시 관악구 봉천동 ***-*번지 관악전화국 *층서울특별시 관악구 청룡*길 ** (봉천동,관악전화국 *층)<NA>가로세로2011-10-31 10:21:11I2018-08-31 23:59:59.0<NA>195333.744668442074.515126게임물제작업유통관련업<NA><NA>게임물30.0<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>
23200000CDFF224108200000000220001219<NA>1영업/정상13영업중<NA><NA><NA><NA>6278-9981<NA><NA>서울특별시 관악구 봉천동 ***-*번지 세종오피스텔 ***서울특별시 관악구 관악로**길 ** (봉천동,세종오피스텔 ***)<NA>이즈플레이2011-10-31 10:21:28I2018-08-31 23:59:59.0<NA>195582.81299441900.292747게임물제작업유통관련업<NA><NA>게임물30.0<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>
33200000CDFF224108200000000320000601<NA>3폐업3폐업20030322<NA><NA><NA>888-1555<NA>151851서울특별시 관악구 봉천동 산 *-*번지 서울대연구공원본관 ***호, ***호서울특별시 관악구 관악로 * (봉천동,서울대연구공원본관 ***호, ***호)<NA>올엠2008-06-30 16:46:09I2018-08-31 23:59:59.0<NA>196467.062245439809.669641게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43200000CDFF224108200000000420000412<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151849서울특별시 관악구 봉천동 ****-**번지서울특별시 관악구 솔밭로 * (봉천동)<NA>한서미디어2008-01-25 13:47:48I2018-08-31 23:59:59.0<NA>196635.272633441805.574372게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53200000CDFF224108200000000520000610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 ****-**번지 *층서울특별시 관악구 봉천로 *** (신림동,*층)<NA>씨네트코리아2008-01-25 13:53:46I2018-08-31 23:59:59.0<NA>193084.342338443051.057944게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFF224108200000000620000728<NA>3폐업3폐업20080508<NA><NA><NA>3487-6000<NA>151802서울특별시 관악구 남현동 ****-*번지 동방빌딩 *층서울특별시 관악구 남부순환로 **** (남현동,동방빌딩 *층)<NA>컴투스2008-05-08 10:37:43I2018-08-31 23:59:59.0<NA>197617.229064441520.295842게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73200000CDFF224108200000000720000728<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151927서울특별시 관악구 신림동 ***-**번지 오성벤처타워 ***호서울특별시 관악구 신림로 *** (신림동,오성벤처타워 ***호)<NA>에듀미디어텍2008-01-25 14:14:10I2018-08-31 23:59:59.0<NA>194164.32529441054.765838게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83200000CDFF224108200000000820000818<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151729서울특별시 관악구 봉천동 **-*번지 동진빌딩 *층서울특별시 관악구 관악로 *** (봉천동,동진빌딩 *층)<NA>애니큐브2008-01-25 14:18:48I2018-08-31 23:59:59.0<NA>195915.267435442465.953291게임물제작업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93200000CDFF224108200000000920000901<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>151832서울특별시 관악구 봉천동 ****-*번지 자티빌딩 *층서울특별시 관악구 남부순환로 **** (봉천동,자티빌딩 *층)<NA>벨록스소프트2008-01-25 14:52:47I2018-08-31 23:59:59.0<NA>196668.226138441640.722372게임물제작업유통관련업<NA><NA><NA><NA><NA><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
1373200000CDFF22410820230000012023-07-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **** 벽산블루밍아파트서울특별시 관악구 은천로 **, ***동 ****호 (봉천동, 벽산블루밍아파트)8715마리블룸2023-07-17 14:57:40I2022-12-06 23:09:00.0<NA>195045.515108443011.455008<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1383200000CDFF22410820230000022023-10-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **-**서울특별시 관악구 관악로**가길 **-*, 지층 우측호 (봉천동)8736레나이엔터테인먼트2023-10-31 12:53:30I2022-11-01 00:02:00.0<NA>196121.623243442424.390537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1393200000CDFF22410820230000032023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-* 영인 MC서울특별시 관악구 봉천로 ***, 영인 MC *,*층 (봉천동)8758주식회사 레브잇2023-11-24 09:52:54I2022-10-31 22:06:00.0<NA>195550.374056442211.448104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1403200000CDFF22410820230000042023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-** 코오롱빌라서울특별시 관악구 미성*길 **, ***호 (신림동, 코오롱빌라)8865재미팡 게임즈2023-12-08 10:52:16I2022-11-01 23:00:00.0<NA>192384.519002441337.629476<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1413200000CDFF22410820240000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 신림로 ***, *층 (신림동)8775코드그림2024-01-05 11:18:02I2023-12-01 00:07:00.0<NA>193816.167826441909.730509<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1423200000CDFF22410820240000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **** e편한세상서울대입구 *차서울특별시 관악구 참숯*길 **, ***층 ***호 (봉천동, e편한세상서울대입구 *차)8830스튜디오 사모코2024-01-19 13:33:51I2023-11-30 22:01:00.0<NA>194786.837474441748.028964<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1433200000CDFF22410820240000032024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 남현동 ****-*서울특별시 관악구 남현*길 **, *층 ***호 (남현동)8806주식회사 투에이드2024-02-26 13:14:21I2023-12-01 22:08:00.0<NA>198142.028598441468.240752<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1443200000CDFF22410820240000042024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****-**서울특별시 관악구 남부순환로***다길 *, ***호 (봉천동)8801디벨레이어2024-04-02 13:16:40I2023-12-04 00:04:00.0<NA>196959.975396441654.43757<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1453200000CDFF22410820240000052024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 봉천로 ***-*, *층 J*호 (봉천동)8757게임만드는까치2024-04-02 13:41:07I2023-12-04 00:04:00.0<NA>195090.503651442274.625918<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1463200000CDFF22410820240000062024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-**서울특별시 관악구 신사로**길 **, ***호 (신림동)8702스페이스카우보이(SpaceCowboy)2024-04-02 13:59:48I2023-12-04 00:04:00.0<NA>192610.03752442820.217611<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>