Overview

Dataset statistics

Number of variables56
Number of observations761
Missing cells19155
Missing cells (%)44.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory359.8 KiB
Average record size in memory484.2 B

Variable types

Categorical17
Text6
DateTime4
Numeric9
Unsupported20

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16783/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
문화체육업종명 is highly imbalanced (57.9%)Imbalance
문화사업자구분명 is highly imbalanced (57.9%)Imbalance
건물용도명 is highly imbalanced (63.6%)Imbalance
통로너비 is highly imbalanced (96.3%)Imbalance
조명시설조도 is highly imbalanced (96.1%)Imbalance
노래방실수 is highly imbalanced (96.3%)Imbalance
청소년실수 is highly imbalanced (96.3%)Imbalance
제공게임물명 is highly imbalanced (61.5%)Imbalance
인허가취소일자 has 715 (94.0%) missing valuesMissing
폐업일자 has 213 (28.0%) missing valuesMissing
휴업시작일자 has 761 (100.0%) missing valuesMissing
휴업종료일자 has 761 (100.0%) missing valuesMissing
재개업일자 has 761 (100.0%) missing valuesMissing
전화번호 has 473 (62.2%) missing valuesMissing
소재지면적 has 761 (100.0%) missing valuesMissing
소재지우편번호 has 478 (62.8%) missing valuesMissing
도로명주소 has 16 (2.1%) missing valuesMissing
도로명우편번호 has 453 (59.5%) missing valuesMissing
업태구분명 has 761 (100.0%) missing valuesMissing
총층수 has 144 (18.9%) missing valuesMissing
제작취급품목내용 has 760 (99.9%) missing valuesMissing
시설면적 has 65 (8.5%) missing valuesMissing
지상층수 has 232 (30.5%) missing valuesMissing
비상계단여부 has 761 (100.0%) missing valuesMissing
비상구여부 has 761 (100.0%) missing valuesMissing
자동환기여부 has 761 (100.0%) missing valuesMissing
청소년실여부 has 761 (100.0%) missing valuesMissing
특수조명여부 has 761 (100.0%) missing valuesMissing
방음시설여부 has 761 (100.0%) missing valuesMissing
비디오재생기명 has 761 (100.0%) missing valuesMissing
조명시설유무 has 761 (100.0%) missing valuesMissing
음향시설여부 has 761 (100.0%) missing valuesMissing
편의시설여부 has 761 (100.0%) missing valuesMissing
소방시설여부 has 761 (100.0%) missing valuesMissing
총게임기수 has 376 (49.4%) missing valuesMissing
기존게임업외업종명 has 761 (100.0%) missing valuesMissing
공연장형태구분명 has 761 (100.0%) missing valuesMissing
품목명 has 761 (100.0%) missing valuesMissing
최초등록시점 has 761 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 8 (1.1%) zerosZeros
지상층수 has 40 (5.3%) zerosZeros

Reproduction

Analysis started2024-05-11 05:33:24.109992
Analysis finished2024-05-11 05:33:25.609846
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
3160000
761 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 761
100.0%

Length

2024-05-11T14:33:25.731621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:25.879860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 761
100.0%

관리번호
Text

UNIQUE 

Distinct761
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-11T14:33:26.114700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15220
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

Unique761 ?
Unique (%)100.0%

Sample

1st rowCDFF2241021999000001
2nd rowCDFF2241021999000002
3rd rowCDFF2241021999000003
4th rowCDFF2241021999000004
5th rowCDFF2241021999000005
ValueCountFrequency (%)
cdff2241021999000001 1
 
0.1%
cdff2241022009000032 1
 
0.1%
cdff2241022009000034 1
 
0.1%
cdff2241022009000024 1
 
0.1%
cdff2241022009000025 1
 
0.1%
cdff2241022009000026 1
 
0.1%
cdff2241022009000027 1
 
0.1%
cdff2241022009000028 1
 
0.1%
cdff2241022009000029 1
 
0.1%
cdff2241022009000030 1
 
0.1%
Other values (751) 751
98.7%
2024-05-11T14:33:26.557168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5213
34.3%
2 3182
20.9%
F 1522
 
10.0%
1 1480
 
9.7%
4 927
 
6.1%
C 761
 
5.0%
D 761
 
5.0%
9 426
 
2.8%
8 275
 
1.8%
7 195
 
1.3%
Other values (3) 478
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12176
80.0%
Uppercase Letter 3044
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5213
42.8%
2 3182
26.1%
1 1480
 
12.2%
4 927
 
7.6%
9 426
 
3.5%
8 275
 
2.3%
7 195
 
1.6%
3 181
 
1.5%
5 154
 
1.3%
6 143
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 1522
50.0%
C 761
25.0%
D 761
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12176
80.0%
Latin 3044
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5213
42.8%
2 3182
26.1%
1 1480
 
12.2%
4 927
 
7.6%
9 426
 
3.5%
8 275
 
2.3%
7 195
 
1.6%
3 181
 
1.5%
5 154
 
1.3%
6 143
 
1.2%
Latin
ValueCountFrequency (%)
F 1522
50.0%
C 761
25.0%
D 761
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5213
34.3%
2 3182
20.9%
F 1522
 
10.0%
1 1480
 
9.7%
4 927
 
6.1%
C 761
 
5.0%
D 761
 
5.0%
9 426
 
2.8%
8 275
 
1.8%
7 195
 
1.3%
Other values (3) 478
 
3.1%

인허가일자
Date

Distinct539
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum1999-06-11 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:33:26.725453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:26.886189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)71.7%
Missing715
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean20105651
Minimum20090427
Maximum20180406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:27.042597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090427
5-th percentile20090428
Q120091132
median20100518
Q320110807
95-th percentile20140849
Maximum20180406
Range89979
Interquartile range (IQR)19674.5

Descriptive statistics

Standard deviation18935.111
Coefficient of variation (CV)0.00094178054
Kurtosis5.653883
Mean20105651
Median Absolute Deviation (MAD)9593.5
Skewness2.2274074
Sum9.2485994 × 108
Variance3.5853842 × 108
MonotonicityNot monotonic
2024-05-11T14:33:27.200421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20090428 4
 
0.5%
20100701 3
 
0.4%
20100205 3
 
0.4%
20110909 2
 
0.3%
20090427 2
 
0.3%
20120606 2
 
0.3%
20090923 2
 
0.3%
20091211 2
 
0.3%
20100426 2
 
0.3%
20140325 1
 
0.1%
Other values (23) 23
 
3.0%
(Missing) 715
94.0%
ValueCountFrequency (%)
20090427 2
0.3%
20090428 4
0.5%
20090730 1
 
0.1%
20090923 2
0.3%
20090927 1
 
0.1%
20091005 1
 
0.1%
20091106 1
 
0.1%
20091211 2
0.3%
20100125 1
 
0.1%
20100205 3
0.4%
ValueCountFrequency (%)
20180406 1
0.1%
20161020 1
0.1%
20141024 1
0.1%
20140325 1
0.1%
20130418 1
0.1%
20120827 1
0.1%
20120606 2
0.3%
20111025 1
0.1%
20110909 2
0.3%
20110905 1
0.1%

영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
3
351 
4
243 
1
167 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row1

Common Values

ValueCountFrequency (%)
3 351
46.1%
4 243
31.9%
1 167
21.9%

Length

2024-05-11T14:33:27.332708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:27.454377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 351
46.1%
4 243
31.9%
1 167
21.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업
351 
취소/말소/만료/정지/중지
243 
영업/정상
167 

Length

Max length14
Median length5
Mean length6.4901445
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 351
46.1%
취소/말소/만료/정지/중지 243
31.9%
영업/정상 167
21.9%

Length

2024-05-11T14:33:27.585495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:27.700552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 351
46.1%
취소/말소/만료/정지/중지 243
31.9%
영업/정상 167
21.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
03
351 
35
197 
13
153 
31
46 
BBBB
 
14

Length

Max length4
Median length2
Mean length2.0367937
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row35
3rd row35
4th row35
5th row13

Common Values

ValueCountFrequency (%)
03 351
46.1%
35 197
25.9%
13 153
20.1%
31 46
 
6.0%
BBBB 14
 
1.8%

Length

2024-05-11T14:33:27.839859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:27.976550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 351
46.1%
35 197
25.9%
13 153
20.1%
31 46
 
6.0%
bbbb 14
 
1.8%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
폐업
351 
직권말소
197 
영업중
153 
등록취소
46 
<NA>
 
14

Length

Max length4
Median length3
Mean length2.8764783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 351
46.1%
직권말소 197
25.9%
영업중 153
20.1%
등록취소 46
 
6.0%
<NA> 14
 
1.8%

Length

2024-05-11T14:33:28.107406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:28.224540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 351
46.1%
직권말소 197
25.9%
영업중 153
20.1%
등록취소 46
 
6.0%
na 14
 
1.8%

폐업일자
Date

MISSING 

Distinct329
Distinct (%)60.0%
Missing213
Missing (%)28.0%
Memory size6.1 KiB
Minimum2000-03-25 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T14:33:28.355961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:28.502132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

전화번호
Text

MISSING 

Distinct285
Distinct (%)99.0%
Missing473
Missing (%)62.2%
Memory size6.1 KiB
2024-05-11T14:33:28.835809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.5138889
Min length8

Characters and Unicode

Total characters2452
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

Unique282 ?
Unique (%)97.9%

Sample

1st row3666-8266
2nd row854-1332
3rd row839-2709
4th row689-0437
5th row684-7829
ValueCountFrequency (%)
2614-2872 2
 
0.7%
865-8669 2
 
0.7%
852-3733 2
 
0.7%
2619-9437 1
 
0.3%
869-4532 1
 
0.3%
3444-9531 1
 
0.3%
3281-6339 1
 
0.3%
2613-6719 1
 
0.3%
863-6830 1
 
0.3%
682-2050 1
 
0.3%
Other values (275) 275
95.5%
2024-05-11T14:33:29.291720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 325
13.3%
8 307
12.5%
- 301
12.3%
2 263
10.7%
5 211
8.6%
1 193
7.9%
3 190
7.7%
4 180
7.3%
9 169
6.9%
7 160
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2151
87.7%
Dash Punctuation 301
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 325
15.1%
8 307
14.3%
2 263
12.2%
5 211
9.8%
1 193
9.0%
3 190
8.8%
4 180
8.4%
9 169
7.9%
7 160
7.4%
0 153
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 325
13.3%
8 307
12.5%
- 301
12.3%
2 263
10.7%
5 211
8.6%
1 193
7.9%
3 190
7.7%
4 180
7.3%
9 169
6.9%
7 160
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 325
13.3%
8 307
12.5%
- 301
12.3%
2 263
10.7%
5 211
8.6%
1 193
7.9%
3 190
7.7%
4 180
7.3%
9 169
6.9%
7 160
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)23.0%
Missing478
Missing (%)62.8%
Infinite0
Infinite (%)0.0%
Mean152828.76
Minimum152050
Maximum152906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:29.433575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152050
5-th percentile152800
Q1152816
median152846
Q3152875
95-th percentile152896
Maximum152906
Range856
Interquartile range (IQR)59

Descriptive statistics

Standard deviation123.82308
Coefficient of variation (CV)0.00081020797
Kurtosis31.02811
Mean152828.76
Median Absolute Deviation (MAD)30
Skewness-5.5022464
Sum43250539
Variance15332.155
MonotonicityNot monotonic
2024-05-11T14:33:29.563750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152801 15
 
2.0%
152815 14
 
1.8%
152800 12
 
1.6%
152883 11
 
1.4%
152871 11
 
1.4%
152896 11
 
1.4%
152816 10
 
1.3%
152823 9
 
1.2%
152872 9
 
1.2%
152873 8
 
1.1%
Other values (55) 173
 
22.7%
(Missing) 478
62.8%
ValueCountFrequency (%)
152050 2
 
0.3%
152090 4
 
0.5%
152100 1
 
0.1%
152800 12
1.6%
152801 15
2.0%
152802 2
 
0.3%
152803 3
 
0.4%
152804 8
1.1%
152807 2
 
0.3%
152809 4
 
0.5%
ValueCountFrequency (%)
152906 5
0.7%
152905 3
 
0.4%
152902 1
 
0.1%
152897 2
 
0.3%
152896 11
1.4%
152895 2
 
0.3%
152894 4
 
0.5%
152893 2
 
0.3%
152892 2
 
0.3%
152891 1
 
0.1%

지번주소
Text

Distinct713
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-11T14:33:29.759788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length25.088042
Min length18

Characters and Unicode

Total characters19092
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

Unique669 ?
Unique (%)87.9%

Sample

1st row서울특별시 구로구 개봉동 92-10번지
2nd row서울특별시 구로구 구로동 807-16번지 2층201호
3rd row서울특별시 구로구 구로동 570-165번지
4th row서울특별시 구로구 궁동 189-25번지 2층
5th row서울특별시 구로구 고척동 51-18번지
ValueCountFrequency (%)
서울특별시 761
21.2%
구로구 761
21.2%
구로동 284
 
7.9%
개봉동 142
 
4.0%
고척동 103
 
2.9%
2층 102
 
2.8%
1층 96
 
2.7%
오류동 85
 
2.4%
가리봉동 82
 
2.3%
지층 82
 
2.3%
Other values (727) 1091
30.4%
2024-05-11T14:33:30.144157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3486
18.3%
구 1811
 
9.5%
로 1049
 
5.5%
1 896
 
4.7%
동 785
 
4.1%
서 764
 
4.0%
시 762
 
4.0%
특 761
 
4.0%
별 761
 
4.0%
울 761
 
4.0%
Other values (151) 7256
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10776
56.4%
Decimal Number 3972
 
20.8%
Space Separator 3486
 
18.3%
Dash Punctuation 736
 
3.9%
Open Punctuation 44
 
0.2%
Close Punctuation 44
 
0.2%
Uppercase Letter 19
 
0.1%
Other Punctuation 10
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1811
16.8%
로 1049
9.7%
동 785
7.3%
서 764
 
7.1%
시 762
 
7.1%
특 761
 
7.1%
별 761
 
7.1%
울 761
 
7.1%
지 758
 
7.0%
번 652
 
6.1%
Other values (127) 1912
17.7%
Decimal Number
ValueCountFrequency (%)
1 896
22.6%
2 654
16.5%
3 453
11.4%
4 339
 
8.5%
7 334
 
8.4%
5 321
 
8.1%
0 296
 
7.5%
6 272
 
6.8%
8 227
 
5.7%
9 180
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 13
68.4%
H 1
 
5.3%
K 1
 
5.3%
J 1
 
5.3%
S 1
 
5.3%
A 1
 
5.3%
D 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
3486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10776
56.4%
Common 8297
43.5%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1811
16.8%
로 1049
9.7%
동 785
7.3%
서 764
 
7.1%
시 762
 
7.1%
특 761
 
7.1%
별 761
 
7.1%
울 761
 
7.1%
지 758
 
7.0%
번 652
 
6.1%
Other values (127) 1912
17.7%
Common
ValueCountFrequency (%)
3486
42.0%
1 896
 
10.8%
- 736
 
8.9%
2 654
 
7.9%
3 453
 
5.5%
4 339
 
4.1%
7 334
 
4.0%
5 321
 
3.9%
0 296
 
3.6%
6 272
 
3.3%
Other values (7) 510
 
6.1%
Latin
ValueCountFrequency (%)
B 13
68.4%
H 1
 
5.3%
K 1
 
5.3%
J 1
 
5.3%
S 1
 
5.3%
A 1
 
5.3%
D 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10776
56.4%
ASCII 8316
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3486
41.9%
1 896
 
10.8%
- 736
 
8.9%
2 654
 
7.9%
3 453
 
5.4%
4 339
 
4.1%
7 334
 
4.0%
5 321
 
3.9%
0 296
 
3.6%
6 272
 
3.3%
Other values (14) 529
 
6.4%
Hangul
ValueCountFrequency (%)
구 1811
16.8%
로 1049
9.7%
동 785
7.3%
서 764
 
7.1%
시 762
 
7.1%
특 761
 
7.1%
별 761
 
7.1%
울 761
 
7.1%
지 758
 
7.0%
번 652
 
6.1%
Other values (127) 1912
17.7%

도로명주소
Text

MISSING 

Distinct710
Distinct (%)95.3%
Missing16
Missing (%)2.1%
Memory size6.1 KiB
2024-05-11T14:33:30.412440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length44
Mean length28.867114
Min length22

Characters and Unicode

Total characters21506
Distinct characters164
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

Unique677 ?
Unique (%)90.9%

Sample

1st row서울특별시 구로구 고척로 121 (개봉동)
2nd row서울특별시 구로구 구로동로 86 (구로동,2층201호)
3rd row서울특별시 구로구 새말로 36 (구로동)
4th row서울특별시 구로구 부일로15길 4 (궁동,2층)
5th row서울특별시 구로구 경인로47길 107 (고척동)
ValueCountFrequency (%)
서울특별시 745
 
18.6%
구로구 745
 
18.6%
구로동 159
 
4.0%
구로동로 87
 
2.2%
개봉동 72
 
1.8%
고척동 66
 
1.6%
1층 54
 
1.3%
가리봉동 49
 
1.2%
오류동 46
 
1.1%
고척로 41
 
1.0%
Other values (608) 1940
48.5%
2024-05-11T14:33:30.830751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3724
17.3%
구 1962
 
9.1%
로 1941
 
9.0%
동 920
 
4.3%
1 788
 
3.7%
) 785
 
3.7%
( 785
 
3.7%
서 756
 
3.5%
시 754
 
3.5%
울 745
 
3.5%
Other values (154) 8346
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12420
57.8%
Space Separator 3724
 
17.3%
Decimal Number 3137
 
14.6%
Close Punctuation 785
 
3.7%
Open Punctuation 785
 
3.7%
Other Punctuation 523
 
2.4%
Dash Punctuation 113
 
0.5%
Uppercase Letter 15
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1962
15.8%
로 1941
15.6%
동 920
 
7.4%
서 756
 
6.1%
시 754
 
6.1%
울 745
 
6.0%
별 745
 
6.0%
특 745
 
6.0%
길 448
 
3.6%
층 404
 
3.3%
Other values (133) 3000
24.2%
Decimal Number
ValueCountFrequency (%)
1 788
25.1%
2 559
17.8%
3 368
11.7%
0 244
 
7.8%
4 229
 
7.3%
7 216
 
6.9%
5 215
 
6.9%
8 190
 
6.1%
6 184
 
5.9%
9 144
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
73.3%
K 1
 
6.7%
S 1
 
6.7%
J 1
 
6.7%
H 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3724
100.0%
Close Punctuation
ValueCountFrequency (%)
) 785
100.0%
Open Punctuation
ValueCountFrequency (%)
( 785
100.0%
Other Punctuation
ValueCountFrequency (%)
, 523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12420
57.8%
Common 9071
42.2%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1962
15.8%
로 1941
15.6%
동 920
 
7.4%
서 756
 
6.1%
시 754
 
6.1%
울 745
 
6.0%
별 745
 
6.0%
특 745
 
6.0%
길 448
 
3.6%
층 404
 
3.3%
Other values (133) 3000
24.2%
Common
ValueCountFrequency (%)
3724
41.1%
1 788
 
8.7%
) 785
 
8.7%
( 785
 
8.7%
2 559
 
6.2%
, 523
 
5.8%
3 368
 
4.1%
0 244
 
2.7%
4 229
 
2.5%
7 216
 
2.4%
Other values (6) 850
 
9.4%
Latin
ValueCountFrequency (%)
B 11
73.3%
K 1
 
6.7%
S 1
 
6.7%
J 1
 
6.7%
H 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12420
57.8%
ASCII 9086
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3724
41.0%
1 788
 
8.7%
) 785
 
8.6%
( 785
 
8.6%
2 559
 
6.2%
, 523
 
5.8%
3 368
 
4.1%
0 244
 
2.7%
4 229
 
2.5%
7 216
 
2.4%
Other values (11) 865
 
9.5%
Hangul
ValueCountFrequency (%)
구 1962
15.8%
로 1941
15.6%
동 920
 
7.4%
서 756
 
6.1%
시 754
 
6.1%
울 745
 
6.0%
별 745
 
6.0%
특 745
 
6.0%
길 448
 
3.6%
층 404
 
3.3%
Other values (133) 3000
24.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)35.1%
Missing453
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean19553.474
Minimum8203
Maximum152894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:31.046480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8203
5-th percentile8222
Q18256
median8310
Q38351
95-th percentile152801
Maximum152894
Range144691
Interquartile range (IQR)95

Descriptive statistics

Standard deviation38779.71
Coefficient of variation (CV)1.9832645
Kurtosis8.0677674
Mean19553.474
Median Absolute Deviation (MAD)46
Skewness3.1647031
Sum6022470
Variance1.5038659 × 109
MonotonicityNot monotonic
2024-05-11T14:33:31.192669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8312 12
 
1.6%
8387 11
 
1.4%
8271 10
 
1.3%
8255 10
 
1.3%
8222 9
 
1.2%
8223 9
 
1.2%
8235 8
 
1.1%
8256 6
 
0.8%
8384 6
 
0.8%
8276 6
 
0.8%
Other values (98) 221
29.0%
(Missing) 453
59.5%
ValueCountFrequency (%)
8203 1
 
0.1%
8204 3
 
0.4%
8206 1
 
0.1%
8208 2
 
0.3%
8210 2
 
0.3%
8216 2
 
0.3%
8218 2
 
0.3%
8222 9
1.2%
8223 9
1.2%
8226 1
 
0.1%
ValueCountFrequency (%)
152894 1
 
0.1%
152876 1
 
0.1%
152872 1
 
0.1%
152871 4
0.5%
152854 1
 
0.1%
152831 1
 
0.1%
152827 1
 
0.1%
152824 1
 
0.1%
152823 2
0.3%
152815 1
 
0.1%

사업장명
Text

Distinct674
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-11T14:33:31.504518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.3863338
Min length2

Characters and Unicode

Total characters4860
Distinct characters407
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

Unique614 ?
Unique (%)80.7%

Sample

1st row로손컴
2nd row옹기종기PC게임장
3rd rowK-2인터넷PC방
4th row클릭인터넷피시방
5th row싸이버피시방
ValueCountFrequency (%)
pc방 134
 
12.6%
pc 56
 
5.3%
대박pc 8
 
0.8%
cafe 8
 
0.8%
zone 7
 
0.7%
pc클럽 6
 
0.6%
고척점 5
 
0.5%
구로점 5
 
0.5%
아이조아 5
 
0.5%
로하스pc방 5
 
0.5%
Other values (690) 826
77.6%
2024-05-11T14:33:32.041139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 533
 
11.0%
C 533
 
11.0%
방 332
 
6.8%
305
 
6.3%
이 152
 
3.1%
넷 119
 
2.4%
스 108
 
2.2%
인 90
 
1.9%
터 84
 
1.7%
아 83
 
1.7%
Other values (397) 2521
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2989
61.5%
Uppercase Letter 1313
27.0%
Space Separator 305
 
6.3%
Lowercase Letter 149
 
3.1%
Decimal Number 48
 
1.0%
Other Punctuation 20
 
0.4%
Close Punctuation 15
 
0.3%
Open Punctuation 15
 
0.3%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 332
 
11.1%
이 152
 
5.1%
넷 119
 
4.0%
스 108
 
3.6%
인 90
 
3.0%
터 84
 
2.8%
아 83
 
2.8%
점 58
 
1.9%
피 56
 
1.9%
드 56
 
1.9%
Other values (331) 1851
61.9%
Uppercase Letter
ValueCountFrequency (%)
P 533
40.6%
C 533
40.6%
E 27
 
2.1%
N 22
 
1.7%
A 19
 
1.4%
O 18
 
1.4%
Z 16
 
1.2%
S 15
 
1.1%
T 13
 
1.0%
K 12
 
0.9%
Other values (15) 105
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
c 21
14.1%
e 20
13.4%
o 19
12.8%
p 18
12.1%
n 12
8.1%
a 10
6.7%
i 9
 
6.0%
l 8
 
5.4%
s 4
 
2.7%
f 4
 
2.7%
Other values (12) 24
16.1%
Decimal Number
ValueCountFrequency (%)
2 13
27.1%
1 9
18.8%
7 7
14.6%
3 7
14.6%
4 4
 
8.3%
0 3
 
6.2%
8 3
 
6.2%
5 2
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 12
60.0%
' 2
 
10.0%
@ 2
 
10.0%
? 1
 
5.0%
! 1
 
5.0%
# 1
 
5.0%
& 1
 
5.0%
Space Separator
ValueCountFrequency (%)
305
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2989
61.5%
Latin 1462
30.1%
Common 409
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 332
 
11.1%
이 152
 
5.1%
넷 119
 
4.0%
스 108
 
3.6%
인 90
 
3.0%
터 84
 
2.8%
아 83
 
2.8%
점 58
 
1.9%
피 56
 
1.9%
드 56
 
1.9%
Other values (331) 1851
61.9%
Latin
ValueCountFrequency (%)
P 533
36.5%
C 533
36.5%
E 27
 
1.8%
N 22
 
1.5%
c 21
 
1.4%
e 20
 
1.4%
o 19
 
1.3%
A 19
 
1.3%
O 18
 
1.2%
p 18
 
1.2%
Other values (37) 232
15.9%
Common
ValueCountFrequency (%)
305
74.6%
) 15
 
3.7%
( 15
 
3.7%
2 13
 
3.2%
. 12
 
2.9%
1 9
 
2.2%
7 7
 
1.7%
3 7
 
1.7%
- 6
 
1.5%
4 4
 
1.0%
Other values (9) 16
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2989
61.5%
ASCII 1871
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 533
28.5%
C 533
28.5%
305
16.3%
E 27
 
1.4%
N 22
 
1.2%
c 21
 
1.1%
e 20
 
1.1%
o 19
 
1.0%
A 19
 
1.0%
O 18
 
1.0%
Other values (56) 354
18.9%
Hangul
ValueCountFrequency (%)
방 332
 
11.1%
이 152
 
5.1%
넷 119
 
4.0%
스 108
 
3.6%
인 90
 
3.0%
터 84
 
2.8%
아 83
 
2.8%
점 58
 
1.9%
피 56
 
1.9%
드 56
 
1.9%
Other values (331) 1851
61.9%

최종수정일자
Date

Distinct539
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2003-04-18 15:20:26
Maximum2024-05-09 17:48:31
2024-05-11T14:33:32.217607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:32.456297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
I
605 
U
156 

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 605
79.5%
U 156
 
20.5%

Length

2024-05-11T14:33:33.023447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:33.207608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 605
79.5%
u 156
 
20.5%

데이터갱신일자
Date

Distinct134
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:33:33.352514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:33:33.516143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct531
Distinct (%)70.2%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean188308.45
Minimum183969.57
Maximum191280.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:33.675170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183969.57
5-th percentile185210.96
Q1186796.67
median189035.54
Q3189956.43
95-th percentile190405.98
Maximum191280.66
Range7311.0872
Interquartile range (IQR)3159.7599

Descriptive statistics

Standard deviation1825.0165
Coefficient of variation (CV)0.0096916333
Kurtosis-1.1008353
Mean188308.45
Median Absolute Deviation (MAD)1251.3982
Skewness-0.40222275
Sum1.4236119 × 108
Variance3330685
MonotonicityNot monotonic
2024-05-11T14:33:33.867534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189967.513003627 7
 
0.9%
190415.939868395 6
 
0.8%
187904.492555018 6
 
0.8%
185797.184093366 4
 
0.5%
187467.905334929 4
 
0.5%
189730.797161597 4
 
0.5%
190188.948657583 4
 
0.5%
187020.600617529 4
 
0.5%
184323.391703413 4
 
0.5%
189486.211655856 4
 
0.5%
Other values (521) 709
93.2%
(Missing) 5
 
0.7%
ValueCountFrequency (%)
183969.570522017 1
 
0.1%
184007.005868999 1
 
0.1%
184018.014359305 1
 
0.1%
184019.610971952 1
 
0.1%
184081.831032712 2
0.3%
184083.999645648 2
0.3%
184274.000681736 1
 
0.1%
184283.480004239 3
0.4%
184323.391703413 4
0.5%
184405.318446064 1
 
0.1%
ValueCountFrequency (%)
191280.657696914 1
0.1%
191239.693382941 2
0.3%
191229.896362573 1
0.1%
191205.791543965 1
0.1%
191187.50683561 1
0.1%
191173.834097241 1
0.1%
191079.47245981 1
0.1%
191069.416650513 1
0.1%
191061.147248344 1
0.1%
191045.678761051 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct531
Distinct (%)70.2%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean443483.57
Minimum441882.81
Maximum445369.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:34.109840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441882.81
5-th percentile442017.38
Q1442932.71
median443431.47
Q3444275.41
95-th percentile444707.38
Maximum445369.52
Range3486.707
Interquartile range (IQR)1342.6982

Descriptive statistics

Standard deviation810.57411
Coefficient of variation (CV)0.0018277433
Kurtosis-0.7761354
Mean443483.57
Median Absolute Deviation (MAD)572.61199
Skewness-0.0011238125
Sum3.3527358 × 108
Variance657030.39
MonotonicityNot monotonic
2024-05-11T14:33:34.325031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442304.502550047 7
 
0.9%
443127.550254664 6
 
0.8%
444588.964531734 6
 
0.8%
443629.410643222 4
 
0.5%
443669.631331697 4
 
0.5%
443003.820017466 4
 
0.5%
441950.139212722 4
 
0.5%
442702.142342165 4
 
0.5%
443297.298790943 4
 
0.5%
443997.779091285 4
 
0.5%
Other values (521) 709
93.2%
(Missing) 5
 
0.7%
ValueCountFrequency (%)
441882.810784839 1
 
0.1%
441929.798809285 1
 
0.1%
441950.139212722 4
0.5%
441950.431750327 2
0.3%
441959.448402286 1
 
0.1%
441961.372806 1
 
0.1%
441966.763645681 2
0.3%
441968.468347335 3
0.4%
441970.427503288 3
0.4%
441980.107377152 1
 
0.1%
ValueCountFrequency (%)
445369.517787461 1
 
0.1%
445263.700689907 3
0.4%
445261.977148473 1
 
0.1%
445253.272921198 1
 
0.1%
445250.538868558 1
 
0.1%
445237.843405822 1
 
0.1%
445212.642204879 1
 
0.1%
445198.887156838 1
 
0.1%
445132.132162314 1
 
0.1%
445042.035096623 1
 
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
인터넷컴퓨터게임시설제공업
696 
<NA>
 
65

Length

Max length13
Median length13
Mean length12.231275
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 696
91.5%
<NA> 65
 
8.5%

Length

2024-05-11T14:33:34.549523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:34.734603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 696
91.5%
na 65
 
8.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
유통관련업
696 
<NA>
 
65

Length

Max length5
Median length5
Mean length4.9145861
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 696
91.5%
<NA> 65
 
8.5%

Length

2024-05-11T14:33:34.927256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:35.080780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 696
91.5%
na 65
 
8.5%

총층수
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)3.6%
Missing144
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean4.5721232
Minimum0
Maximum25
Zeros6
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:35.250496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile8
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8464607
Coefficient of variation (CV)0.62256868
Kurtosis20.860812
Mean4.5721232
Median Absolute Deviation (MAD)1
Skewness3.9357369
Sum2821
Variance8.1023385
MonotonicityNot monotonic
2024-05-11T14:33:35.460401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 193
25.4%
5 141
18.5%
3 133
17.5%
6 42
 
5.5%
2 40
 
5.3%
7 16
 
2.1%
10 9
 
1.2%
1 9
 
1.2%
8 7
 
0.9%
0 6
 
0.8%
Other values (12) 21
 
2.8%
(Missing) 144
18.9%
ValueCountFrequency (%)
0 6
 
0.8%
1 9
 
1.2%
2 40
 
5.3%
3 133
17.5%
4 193
25.4%
5 141
18.5%
6 42
 
5.5%
7 16
 
2.1%
8 7
 
0.9%
9 3
 
0.4%
ValueCountFrequency (%)
25 1
 
0.1%
24 1
 
0.1%
23 2
0.3%
22 1
 
0.1%
21 2
0.3%
19 1
 
0.1%
18 1
 
0.1%
16 3
0.4%
14 2
0.3%
12 3
0.4%

주변환경명
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
264 
기타
227 
주택가주변
200 
학교정화(상대)
36 
아파트지역
 
22
Other values (2)
 
12

Length

Max length8
Median length5
Mean length3.9474376
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 264
34.7%
기타 227
29.8%
주택가주변 200
26.3%
학교정화(상대) 36
 
4.7%
아파트지역 22
 
2.9%
유흥업소밀집지역 11
 
1.4%
학교정화(절대) 1
 
0.1%

Length

2024-05-11T14:33:35.697386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:35.872784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
34.7%
기타 227
29.8%
주택가주변 200
26.3%
학교정화(상대 36
 
4.7%
아파트지역 22
 
2.9%
유흥업소밀집지역 11
 
1.4%
학교정화(절대 1
 
0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing760
Missing (%)99.9%
Memory size6.1 KiB
2024-05-11T14:33:36.091519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
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

Unique1 ?
Unique (%)100.0%

Sample

1st row전체이용가
ValueCountFrequency (%)
전체이용가 1
100.0%
2024-05-11T14:33:36.453234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct603
Distinct (%)86.6%
Missing65
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean147.07866
Minimum0
Maximum6571.64
Zeros8
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:36.625145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.8625
Q163.7125
median109.84
Q3148.5
95-th percentile286.965
Maximum6571.64
Range6571.64
Interquartile range (IQR)84.7875

Descriptive statistics

Standard deviation370.96644
Coefficient of variation (CV)2.5222315
Kurtosis210.93962
Mean147.07866
Median Absolute Deviation (MAD)42.47
Skewness13.804971
Sum102366.75
Variance137616.1
MonotonicityNot monotonic
2024-05-11T14:33:36.846717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
1.1%
148.5 5
 
0.7%
173.22 5
 
0.7%
133.0 4
 
0.5%
49.5 3
 
0.4%
88.52 3
 
0.4%
20.0 3
 
0.4%
33.0 3
 
0.4%
181.44 3
 
0.4%
132.0 3
 
0.4%
Other values (593) 656
86.2%
(Missing) 65
 
8.5%
ValueCountFrequency (%)
0.0 8
1.1%
1.32 1
 
0.1%
10.53 1
 
0.1%
11.76 1
 
0.1%
12.92 1
 
0.1%
14.88 1
 
0.1%
15.4 1
 
0.1%
16.0 3
 
0.4%
16.5 1
 
0.1%
18.14 1
 
0.1%
ValueCountFrequency (%)
6571.64 1
0.1%
5516.3 1
0.1%
4125.62 1
0.1%
1622.1 1
0.1%
1077.12 1
0.1%
996.17 1
0.1%
857.71 1
0.1%
679.36 1
0.1%
640.94 1
0.1%
598.51 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.9%
Missing232
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean2.4593573
Minimum0
Maximum12
Zeros40
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:37.019596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4350695
Coefficient of variation (CV)0.58351406
Kurtosis4.2886942
Mean2.4593573
Median Absolute Deviation (MAD)1
Skewness1.0892095
Sum1301
Variance2.0594246
MonotonicityNot monotonic
2024-05-11T14:33:37.169873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 187
24.6%
3 131
17.2%
1 71
 
9.3%
4 67
 
8.8%
0 40
 
5.3%
5 17
 
2.2%
6 9
 
1.2%
7 4
 
0.5%
8 2
 
0.3%
12 1
 
0.1%
(Missing) 232
30.5%
ValueCountFrequency (%)
0 40
 
5.3%
1 71
 
9.3%
2 187
24.6%
3 131
17.2%
4 67
 
8.8%
5 17
 
2.2%
6 9
 
1.2%
7 4
 
0.5%
8 2
 
0.3%
12 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
8 2
 
0.3%
7 4
 
0.5%
6 9
 
1.2%
5 17
 
2.2%
4 67
 
8.8%
3 131
17.2%
2 187
24.6%
1 71
 
9.3%
0 40
 
5.3%

지하층수
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
354 
1
265 
0
129 
2
 
8
4
 
3

Length

Max length4
Median length1
Mean length2.3955322
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 354
46.5%
1 265
34.8%
0 129
 
17.0%
2 8
 
1.1%
4 3
 
0.4%
3 2
 
0.3%

Length

2024-05-11T14:33:37.353386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:37.567189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 354
46.5%
1 265
34.8%
0 129
 
17.0%
2 8
 
1.1%
4 3
 
0.4%
3 2
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
근린생활시설
412 
<NA>
335 
단독주택
 
5
콘도미니엄
 
3
유통시설
 
2
Other values (4)
 
4

Length

Max length12
Median length6
Mean length5.1011827
Min length4

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 412
54.1%
<NA> 335
44.0%
단독주택 5
 
0.7%
콘도미니엄 3
 
0.4%
유통시설 2
 
0.3%
위험물저장시설 1
 
0.1%
다중주택(공동주택적용) 1
 
0.1%
판매시설 1
 
0.1%
숙박시설 1
 
0.1%

Length

2024-05-11T14:33:37.784379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:37.972215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 412
54.1%
na 335
44.0%
단독주택 5
 
0.7%
콘도미니엄 3
 
0.4%
유통시설 2
 
0.3%
위험물저장시설 1
 
0.1%
다중주택(공동주택적용 1
 
0.1%
판매시설 1
 
0.1%
숙박시설 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
758 
0
 
3

Length

Max length4
Median length4
Mean length3.9881735
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> 758
99.6%
0 3
 
0.4%

Length

2024-05-11T14:33:38.151325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:38.272553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 758
99.6%
0 3
 
0.4%

조명시설조도
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
755 
0
 
3
40
 
2
30
 
1

Length

Max length4
Median length4
Mean length3.9802891
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 755
99.2%
0 3
 
0.4%
40 2
 
0.3%
30 1
 
0.1%

Length

2024-05-11T14:33:38.406204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:38.553407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 755
99.2%
0 3
 
0.4%
40 2
 
0.3%
30 1
 
0.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
758 
0
 
3

Length

Max length4
Median length4
Mean length3.9881735
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> 758
99.6%
0 3
 
0.4%

Length

2024-05-11T14:33:38.690213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:38.837280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 758
99.6%
0 3
 
0.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
758 
0
 
3

Length

Max length4
Median length4
Mean length3.9881735
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> 758
99.6%
0 3
 
0.4%

Length

2024-05-11T14:33:38.994650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:39.161633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 758
99.6%
0 3
 
0.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)23.1%
Missing376
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean42.451948
Minimum4
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-05-11T14:33:39.348521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median45
Q356
95-th percentile98.8
Maximum250
Range246
Interquartile range (IQR)46

Descriptive statistics

Standard deviation33.256632
Coefficient of variation (CV)0.78339471
Kurtosis6.4890362
Mean42.451948
Median Absolute Deviation (MAD)19
Skewness1.750788
Sum16344
Variance1106.0035
MonotonicityNot monotonic
2024-05-11T14:33:39.526050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 28
 
3.7%
8 21
 
2.8%
6 21
 
2.8%
7 20
 
2.6%
10 19
 
2.5%
40 14
 
1.8%
51 13
 
1.7%
5 11
 
1.4%
60 11
 
1.4%
30 10
 
1.3%
Other values (79) 217
28.5%
(Missing) 376
49.4%
ValueCountFrequency (%)
4 1
 
0.1%
5 11
1.4%
6 21
2.8%
7 20
2.6%
8 21
2.8%
9 10
1.3%
10 19
2.5%
11 5
 
0.7%
12 8
 
1.1%
13 1
 
0.1%
ValueCountFrequency (%)
250 1
0.1%
209 1
0.1%
194 1
0.1%
164 1
0.1%
151 1
0.1%
145 1
0.1%
140 1
0.1%
138 1
0.1%
135 1
0.1%
129 1
0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
650 
전체이용가
110 
청소년이용불가
 
1

Length

Max length7
Median length4
Mean length4.1484888
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 650
85.4%
전체이용가 110
 
14.5%
청소년이용불가 1
 
0.1%

Length

2024-05-11T14:33:39.707384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:33:39.837802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 650
85.4%
전체이용가 110
 
14.5%
청소년이용불가 1
 
0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)100.0%
Memory size6.8 KiB

지역구분명
Categorical

Distinct11
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
<NA>
250 
일반주거지역
231 
근린상업지역
179 
준공업지역
44 
일반상업지역
 
18
Other values (6)
39 

Length

Max length6
Median length6
Mean length5.2089356
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 250
32.9%
일반주거지역 231
30.4%
근린상업지역 179
23.5%
준공업지역 44
 
5.8%
일반상업지역 18
 
2.4%
주거지역 17
 
2.2%
준주거지역 14
 
1.8%
상업지역 4
 
0.5%
전용주거지역 2
 
0.3%
공업지역 1
 
0.1%

Length

2024-05-11T14:33:40.004169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 250
32.9%
일반주거지역 231
30.4%
근린상업지역 179
23.5%
준공업지역 44
 
5.8%
일반상업지역 18
 
2.4%
주거지역 17
 
2.2%
준주거지역 14
 
1.8%
상업지역 4
 
0.5%
전용주거지역 2
 
0.3%
공업지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF224102199900000119990611<NA>4취소/말소/만료/정지/중지35직권말소20110810<NA><NA><NA>3666-8266<NA>152804서울특별시 구로구 개봉동 92-10번지서울특별시 구로구 고척로 121 (개봉동)<NA>로손컴2011-08-10 13:33:14I2018-08-31 23:59:59.0<NA>186429.960965444437.025713인터넷컴퓨터게임시설제공업유통관련업0기타<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
13160000CDFF224102199900000219990626<NA>4취소/말소/만료/정지/중지35직권말소20110816<NA><NA><NA>854-1332<NA>152876서울특별시 구로구 구로동 807-16번지 2층201호서울특별시 구로구 구로동로 86 (구로동,2층201호)<NA>옹기종기PC게임장2011-08-16 13:03:51I2018-08-31 23:59:59.0<NA>189815.239209442690.109201인터넷컴퓨터게임시설제공업유통관련업5기타<NA>32.220근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
23160000CDFF224102199900000319990706<NA>4취소/말소/만료/정지/중지35직권말소20110816<NA><NA><NA>839-2709<NA>152862서울특별시 구로구 구로동 570-165번지서울특별시 구로구 새말로 36 (구로동)<NA>K-2인터넷PC방2011-08-16 13:03:51I2018-08-31 23:59:59.0<NA>189758.18566444505.663043인터넷컴퓨터게임시설제공업유통관련업3기타<NA>75.4820근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
33160000CDFF224102199900000419990706<NA>4취소/말소/만료/정지/중지35직권말소20110823<NA><NA><NA>689-0437<NA>152883서울특별시 구로구 궁동 189-25번지 2층서울특별시 구로구 부일로15길 4 (궁동,2층)<NA>클릭인터넷피시방2011-08-23 18:21:48I2018-08-31 23:59:59.0<NA>185290.381997443494.27204인터넷컴퓨터게임시설제공업유통관련업3기타<NA>89.62<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
43160000CDFF224102199900000519990710<NA>1영업/정상13영업중<NA><NA><NA><NA>684-7829<NA>152823서울특별시 구로구 고척동 51-18번지서울특별시 구로구 경인로47길 107 (고척동)8223싸이버피시방2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>187873.022821444588.607998인터넷컴퓨터게임시설제공업유통관련업3기타<NA>53.5901근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
53160000CDFF224102199900000619990726<NA>4취소/말소/만료/정지/중지35직권말소20110823<NA><NA><NA>687-5297<NA>152823서울특별시 구로구 고척동 46-66번지서울특별시 구로구 경인로47다길 3 (고척동)<NA>스피드2011-08-23 18:21:48I2018-08-31 23:59:59.0<NA>187898.642463444615.419635인터넷컴퓨터게임시설제공업유통관련업3기타<NA>74.9501근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
63160000CDFF224102199900000719990727<NA>3폐업03폐업20000704<NA><NA><NA>685-3010<NA>152816서울특별시 구로구 개봉동 403-219번지서울특별시 구로구 개봉로20길 30 (개봉동)<NA>원샷원클릭인터넷2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>187234.286075443473.960167인터넷컴퓨터게임시설제공업유통관련업4기타<NA>130.4830근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
73160000CDFF224102199900000819990727<NA>4취소/말소/만료/정지/중지35직권말소20110823<NA><NA><NA>864-4481<NA>152858서울특별시 구로구 구로동 486-37번지서울특별시 구로구 구로동로 209-1 (구로동)<NA>HOT인터넷클럽2011-08-23 18:21:48I2018-08-31 23:59:59.0<NA>189520.08832443901.745309인터넷컴퓨터게임시설제공업유통관련업2기타<NA>33.8210근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
83160000CDFF224102199900000919990809<NA>4취소/말소/만료/정지/중지35직권말소20110823<NA><NA><NA>2611-9701<NA>152826서울특별시 구로구 고척동 72-15번지 2층서울특별시 구로구 경인로43길 11 (고척동,2층)<NA>프렌드넷2011-08-23 18:21:20I2018-08-31 23:59:59.0<NA>187742.589013443880.191483인터넷컴퓨터게임시설제공업유통관련업3기타<NA>64.520근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
93160000CDFF224102199900001019990810<NA>4취소/말소/만료/정지/중지35직권말소20110816<NA><NA><NA>859-1844<NA>152880서울특별시 구로구 구로동 1125-9번지서울특별시 구로구 시흥대로 557 (구로동)<NA>싸이버 존 PC방2011-08-16 13:03:51I2018-08-31 23:59:59.0<NA>191173.834097442316.325151인터넷컴퓨터게임시설제공업유통관련업5<NA><NA>145.4530근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
7513160000CDFF22410220230000012023-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 135-9 1층서울특별시 구로구 디지털로 224, 1층 (가리봉동)8395바다속PC2023-11-24 14:29:00U2022-10-31 22:06:00.0<NA>190270.260953441970.427503<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7523160000CDFF22410220230000022023-07-12<NA>3폐업03폐업2023-09-22<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 145-15 지하1층서울특별시 구로구 도림로 83, 지하1층 (구로동)8312종점PC2023-09-22 17:10:00U2022-12-08 22:04:00.0<NA>190415.939868443127.550255<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7533160000CDFF22410220230000032023-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 748-60 1층서울특별시 구로구 도림로 27, 1층 (구로동)832088랜드PC2023-08-22 10:56:39I2022-12-07 22:04:00.0<NA>190003.018331442748.541208<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7543160000CDFF22410220230000042023-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 413-1 설록빌딩 1층 102호서울특별시 구로구 가마산로12길 8-3, 설록빌딩 1층 102호 (구로동)8309세븐PC2023-11-17 16:14:28I2022-10-31 23:09:00.0<NA>189546.090349443364.863821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7553160000CDFF22410220240000012024-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 487-26 1층서울특별시 구로구 구로동로42길 5, 1층 (구로동)8283킹PC랜드2024-01-04 16:24:33I2023-12-01 00:06:00.0<NA>189562.870079443774.460496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7563160000CDFF22410220240000022024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 436-7 신도림큐브스테이트서울특별시 구로구 경인로 611-7, 지하1층 (신도림동, 신도림큐브스테이트)8210욜로PC방 신도림점2024-02-02 14:44:57I2023-12-02 00:04:00.0<NA>189652.928954444919.874182<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7573160000CDFF22410220240000032024-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 481-7 대흥빌딩서울특별시 구로구 구로동로 203, 대흥빌딩 204호 (구로동)8281우리PC2024-02-08 16:29:02I2023-12-01 23:01:00.0<NA>189521.991743443841.806799<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7583160000CDFF22410220240000042024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 122-15서울특별시 구로구 구로동로 14, 2층 (가리봉동)8384BMW PC방2024-02-13 14:15:10I2023-12-01 23:05:00.0<NA>189957.981003442318.481283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7593160000CDFF22410220240000052024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 732-1서울특별시 구로구 구로동로 126-2, 3층 (구로동)8311호박PC랜드2024-04-03 13:39:35I2023-12-04 00:06:00.0<NA>189724.265386443087.184497<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7603160000CDFF22410220240000062024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 392-82서울특별시 구로구 구로동로21길 52, 1층 (구로동)8310토마토PC랜드2024-05-09 17:48:31I2023-12-04 23:01:00.0<NA>189437.815048443058.550019<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>