Overview

Dataset statistics

Number of variables56
Number of observations651
Missing cells18280
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory308.5 KiB
Average record size in memory485.2 B

Variable types

Categorical16
Text6
DateTime4
Numeric10
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16790/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
건물용도명 is highly imbalanced (61.4%)Imbalance
통로너비 is highly imbalanced (89.5%)Imbalance
조명시설조도 is highly imbalanced (89.5%)Imbalance
노래방실수 is highly imbalanced (89.5%)Imbalance
청소년실수 is highly imbalanced (89.5%)Imbalance
제공게임물명 is highly imbalanced (57.7%)Imbalance
인허가취소일자 has 618 (94.9%) missing valuesMissing
폐업일자 has 261 (40.1%) missing valuesMissing
휴업시작일자 has 651 (100.0%) missing valuesMissing
휴업종료일자 has 651 (100.0%) missing valuesMissing
재개업일자 has 651 (100.0%) missing valuesMissing
전화번호 has 577 (88.6%) missing valuesMissing
소재지면적 has 651 (100.0%) missing valuesMissing
소재지우편번호 has 587 (90.2%) missing valuesMissing
도로명우편번호 has 330 (50.7%) missing valuesMissing
업태구분명 has 651 (100.0%) missing valuesMissing
총층수 has 570 (87.6%) missing valuesMissing
제작취급품목내용 has 650 (99.8%) missing valuesMissing
시설면적 has 136 (20.9%) missing valuesMissing
지상층수 has 527 (81.0%) missing valuesMissing
지하층수 has 560 (86.0%) missing valuesMissing
비상계단여부 has 651 (100.0%) missing valuesMissing
비상구여부 has 651 (100.0%) missing valuesMissing
자동환기여부 has 651 (100.0%) missing valuesMissing
청소년실여부 has 651 (100.0%) missing valuesMissing
특수조명여부 has 651 (100.0%) missing valuesMissing
방음시설여부 has 651 (100.0%) missing valuesMissing
비디오재생기명 has 651 (100.0%) missing valuesMissing
조명시설유무 has 651 (100.0%) missing valuesMissing
음향시설여부 has 651 (100.0%) missing valuesMissing
편의시설여부 has 651 (100.0%) missing valuesMissing
소방시설여부 has 651 (100.0%) missing valuesMissing
총게임기수 has 434 (66.7%) missing valuesMissing
기존게임업외업종명 has 651 (100.0%) missing valuesMissing
공연장형태구분명 has 651 (100.0%) missing valuesMissing
품목명 has 651 (100.0%) missing valuesMissing
최초등록시점 has 651 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 8 (1.2%) zerosZeros
지상층수 has 7 (1.1%) zerosZeros
지하층수 has 7 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-11 08:26:07.028964
Analysis finished2024-05-11 08:26:07.836825
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3230000
651 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3230000 651
100.0%

Length

2024-05-11T17:26:07.899305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:07.989682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 651
100.0%

관리번호
Text

UNIQUE 

Distinct651
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T17:26:08.184608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters13020
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

Unique651 ?
Unique (%)100.0%

Sample

1st rowCDFF2241022007000001
2nd rowCDFF2241022007000002
3rd rowCDFF2241022007000003
4th rowCDFF2241022007000004
5th rowCDFF2241022007000005
ValueCountFrequency (%)
cdff2241022007000001 1
 
0.2%
cdff2241022013000013 1
 
0.2%
cdff2241022012000029 1
 
0.2%
cdff2241022013000003 1
 
0.2%
cdff2241022012000030 1
 
0.2%
cdff2241022012000031 1
 
0.2%
cdff2241022012000032 1
 
0.2%
cdff2241022012000033 1
 
0.2%
cdff2241022012000034 1
 
0.2%
cdff2241022013000001 1
 
0.2%
Other values (641) 641
98.5%
2024-05-11T17:26:08.630066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4415
33.9%
2 2870
22.0%
F 1302
 
10.0%
1 1280
 
9.8%
4 796
 
6.1%
C 651
 
5.0%
D 651
 
5.0%
8 316
 
2.4%
7 202
 
1.6%
3 165
 
1.3%
Other values (3) 372
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10416
80.0%
Uppercase Letter 2604
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4415
42.4%
2 2870
27.6%
1 1280
 
12.3%
4 796
 
7.6%
8 316
 
3.0%
7 202
 
1.9%
3 165
 
1.6%
9 139
 
1.3%
5 117
 
1.1%
6 116
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 1302
50.0%
C 651
25.0%
D 651
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10416
80.0%
Latin 2604
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4415
42.4%
2 2870
27.6%
1 1280
 
12.3%
4 796
 
7.6%
8 316
 
3.0%
7 202
 
1.9%
3 165
 
1.6%
9 139
 
1.3%
5 117
 
1.1%
6 116
 
1.1%
Latin
ValueCountFrequency (%)
F 1302
50.0%
C 651
25.0%
D 651
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4415
33.9%
2 2870
22.0%
F 1302
 
10.0%
1 1280
 
9.8%
4 796
 
6.1%
C 651
 
5.0%
D 651
 
5.0%
8 316
 
2.4%
7 202
 
1.6%
3 165
 
1.3%
Other values (3) 372
 
2.9%

인허가일자
Date

Distinct463
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2007-06-08 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T17:26:08.844158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:26:09.369265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)93.9%
Missing618
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean20120398
Minimum20080922
Maximum20200225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:09.532507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080922
5-th percentile20081104
Q120100729
median20110307
Q320150413
95-th percentile20194394
Maximum20200225
Range119303
Interquartile range (IQR)49684

Descriptive statistics

Standard deviation34563.642
Coefficient of variation (CV)0.0017178409
Kurtosis0.12167132
Mean20120398
Median Absolute Deviation (MAD)19991
Skewness1.030617
Sum6.6397313 × 108
Variance1.1946453 × 109
MonotonicityNot monotonic
2024-05-11T17:26:09.676859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20081104 2
 
0.3%
20100927 2
 
0.3%
20150413 1
 
0.2%
20110714 1
 
0.2%
20200225 1
 
0.2%
20130619 1
 
0.2%
20150626 1
 
0.2%
20170817 1
 
0.2%
20150415 1
 
0.2%
20110307 1
 
0.2%
Other values (21) 21
 
3.2%
(Missing) 618
94.9%
ValueCountFrequency (%)
20080922 1
0.2%
20081104 2
0.3%
20081119 1
0.2%
20090109 1
0.2%
20090316 1
0.2%
20100121 1
0.2%
20100630 1
0.2%
20100729 1
0.2%
20100908 1
0.2%
20100927 2
0.3%
ValueCountFrequency (%)
20200225 1
0.2%
20200211 1
0.2%
20190516 1
0.2%
20170817 1
0.2%
20151217 1
0.2%
20151130 1
0.2%
20150626 1
0.2%
20150415 1
0.2%
20150413 1
0.2%
20150403 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
331 
1
228 
4
92 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 331
50.8%
1 228
35.0%
4 92
 
14.1%

Length

2024-05-11T17:26:09.808983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:09.911818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 331
50.8%
1 228
35.0%
4 92
 
14.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
331 
영업/정상
228 
취소/말소/만료/정지/중지
92 

Length

Max length14
Median length2
Mean length4.7465438
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 331
50.8%
영업/정상 228
35.0%
취소/말소/만료/정지/중지 92
 
14.1%

Length

2024-05-11T17:26:10.018589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:10.131449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
50.8%
영업/정상 228
35.0%
취소/말소/만료/정지/중지 92
 
14.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
331 
13
228 
35
59 
31
 
33

Length

Max length2
Median length1
Mean length1.4915515
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row13
4th row35
5th row3

Common Values

ValueCountFrequency (%)
3 331
50.8%
13 228
35.0%
35 59
 
9.1%
31 33
 
5.1%

Length

2024-05-11T17:26:10.246547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:10.351098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 331
50.8%
13 228
35.0%
35 59
 
9.1%
31 33
 
5.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
331 
영업중
228 
직권말소
59 
등록취소
 
33

Length

Max length4
Median length2
Mean length2.6328725
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 331
50.8%
영업중 228
35.0%
직권말소 59
 
9.1%
등록취소 33
 
5.1%

Length

2024-05-11T17:26:10.480593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:10.584319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
50.8%
영업중 228
35.0%
직권말소 59
 
9.1%
등록취소 33
 
5.1%

폐업일자
Date

MISSING 

Distinct320
Distinct (%)82.1%
Missing261
Missing (%)40.1%
Memory size5.2 KiB
Minimum2008-04-21 00:00:00
Maximum2024-03-06 00:00:00
2024-05-11T17:26:10.713044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:26:10.847783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

전화번호
Text

MISSING 

Distinct74
Distinct (%)100.0%
Missing577
Missing (%)88.6%
Memory size5.2 KiB
2024-05-11T17:26:11.078862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length9.7297297
Min length8

Characters and Unicode

Total characters720
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

Unique74 ?
Unique (%)100.0%

Sample

1st row02-423-4289
2nd row471-1128
3rd row3431-3652
4th row400-1868
5th row400-7758
ValueCountFrequency (%)
420-4892 1
 
1.4%
485-6381 1
 
1.4%
02-419-6824 1
 
1.4%
02-423-1393 1
 
1.4%
406-4358 1
 
1.4%
070-8822-4504 1
 
1.4%
070-7727-9451 1
 
1.4%
02-403-6002 1
 
1.4%
070-7733-4360 1
 
1.4%
033-761-8271 1
 
1.4%
Other values (64) 64
86.5%
2024-05-11T17:26:11.450156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 106
14.7%
4 100
13.9%
0 95
13.2%
2 78
10.8%
3 69
9.6%
1 61
8.5%
7 49
6.8%
8 48
6.7%
6 44
6.1%
5 38
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 614
85.3%
Dash Punctuation 106
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 100
16.3%
0 95
15.5%
2 78
12.7%
3 69
11.2%
1 61
9.9%
7 49
8.0%
8 48
7.8%
6 44
7.2%
5 38
 
6.2%
9 32
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 106
14.7%
4 100
13.9%
0 95
13.2%
2 78
10.8%
3 69
9.6%
1 61
8.5%
7 49
6.8%
8 48
6.7%
6 44
6.1%
5 38
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 106
14.7%
4 100
13.9%
0 95
13.2%
2 78
10.8%
3 69
9.6%
1 61
8.5%
7 49
6.8%
8 48
6.7%
6 44
6.1%
5 38
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)51.6%
Missing587
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean138833.77
Minimum138800
Maximum138879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:11.585205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138800
5-th percentile138802.15
Q1138812.75
median138830
Q3138861
95-th percentile138877.4
Maximum138879
Range79
Interquartile range (IQR)48.25

Descriptive statistics

Standard deviation24.927668
Coefficient of variation (CV)0.00017955047
Kurtosis-1.2623243
Mean138833.77
Median Absolute Deviation (MAD)23
Skewness0.28108805
Sum8885361
Variance621.38864
MonotonicityNot monotonic
2024-05-11T17:26:11.716744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
138861 7
 
1.1%
138803 5
 
0.8%
138840 4
 
0.6%
138837 3
 
0.5%
138879 3
 
0.5%
138814 3
 
0.5%
138813 3
 
0.5%
138862 2
 
0.3%
138864 2
 
0.3%
138825 2
 
0.3%
Other values (23) 30
 
4.6%
(Missing) 587
90.2%
ValueCountFrequency (%)
138800 2
 
0.3%
138801 1
 
0.2%
138802 1
 
0.2%
138803 5
0.8%
138804 2
 
0.3%
138807 2
 
0.3%
138811 1
 
0.2%
138812 2
 
0.3%
138813 3
0.5%
138814 3
0.5%
ValueCountFrequency (%)
138879 3
0.5%
138878 1
 
0.2%
138874 1
 
0.2%
138867 1
 
0.2%
138864 2
 
0.3%
138862 2
 
0.3%
138861 7
1.1%
138859 1
 
0.2%
138855 1
 
0.2%
138854 1
 
0.2%

지번주소
Text

Distinct599
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T17:26:12.021761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length23.551459
Min length16

Characters and Unicode

Total characters15332
Distinct characters174
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

Unique551 ?
Unique (%)84.6%

Sample

1st row서울특별시 송파구 거여동 5번지
2nd row서울특별시 송파구 잠실동 189-4번지
3rd row서울특별시 송파구 삼전동 22-2
4th row서울특별시 송파구 방이동 207번지
5th row서울특별시 송파구 가락동 97-8번지
ValueCountFrequency (%)
서울특별시 651
20.9%
송파구 651
20.9%
지층 152
 
4.9%
2층 137
 
4.4%
가락동 136
 
4.4%
잠실동 91
 
2.9%
삼전동 73
 
2.3%
방이동 67
 
2.2%
마천동 48
 
1.5%
송파동 45
 
1.4%
Other values (633) 1064
34.2%
2024-05-11T17:26:12.457987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2958
19.3%
파 702
 
4.6%
송 700
 
4.6%
1 675
 
4.4%
시 655
 
4.3%
동 655
 
4.3%
구 652
 
4.3%
서 651
 
4.2%
특 651
 
4.2%
별 651
 
4.2%
Other values (164) 6382
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9057
59.1%
Space Separator 2958
 
19.3%
Decimal Number 2735
 
17.8%
Dash Punctuation 549
 
3.6%
Uppercase Letter 21
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 702
 
7.8%
송 700
 
7.7%
시 655
 
7.2%
동 655
 
7.2%
구 652
 
7.2%
서 651
 
7.2%
특 651
 
7.2%
별 651
 
7.2%
울 651
 
7.2%
지 635
 
7.0%
Other values (130) 2454
27.1%
Uppercase Letter
ValueCountFrequency (%)
O 3
14.3%
E 3
14.3%
N 2
 
9.5%
S 2
 
9.5%
W 1
 
4.8%
T 1
 
4.8%
D 1
 
4.8%
I 1
 
4.8%
H 1
 
4.8%
U 1
 
4.8%
Other values (5) 5
23.8%
Decimal Number
ValueCountFrequency (%)
1 675
24.7%
2 505
18.5%
3 278
10.2%
4 219
 
8.0%
8 214
 
7.8%
0 196
 
7.2%
5 191
 
7.0%
9 179
 
6.5%
7 152
 
5.6%
6 126
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
u 1
25.0%
i 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
/ 2
50.0%
Space Separator
ValueCountFrequency (%)
2958
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 549
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9057
59.1%
Common 6250
40.8%
Latin 25
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 702
 
7.8%
송 700
 
7.7%
시 655
 
7.2%
동 655
 
7.2%
구 652
 
7.2%
서 651
 
7.2%
특 651
 
7.2%
별 651
 
7.2%
울 651
 
7.2%
지 635
 
7.0%
Other values (130) 2454
27.1%
Latin
ValueCountFrequency (%)
O 3
 
12.0%
E 3
 
12.0%
N 2
 
8.0%
S 2
 
8.0%
W 1
 
4.0%
T 1
 
4.0%
D 1
 
4.0%
I 1
 
4.0%
H 1
 
4.0%
U 1
 
4.0%
Other values (9) 9
36.0%
Common
ValueCountFrequency (%)
2958
47.3%
1 675
 
10.8%
- 549
 
8.8%
2 505
 
8.1%
3 278
 
4.4%
4 219
 
3.5%
8 214
 
3.4%
0 196
 
3.1%
5 191
 
3.1%
9 179
 
2.9%
Other values (5) 286
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9057
59.1%
ASCII 6275
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2958
47.1%
1 675
 
10.8%
- 549
 
8.7%
2 505
 
8.0%
3 278
 
4.4%
4 219
 
3.5%
8 214
 
3.4%
0 196
 
3.1%
5 191
 
3.0%
9 179
 
2.9%
Other values (24) 311
 
5.0%
Hangul
ValueCountFrequency (%)
파 702
 
7.8%
송 700
 
7.7%
시 655
 
7.2%
동 655
 
7.2%
구 652
 
7.2%
서 651
 
7.2%
특 651
 
7.2%
별 651
 
7.2%
울 651
 
7.2%
지 635
 
7.0%
Other values (130) 2454
27.1%

도로명주소
Text

Distinct614
Distinct (%)94.6%
Missing2
Missing (%)0.3%
Memory size5.2 KiB
2024-05-11T17:26:12.696310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length30.328197
Min length22

Characters and Unicode

Total characters19683
Distinct characters203
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique582 ?
Unique (%)89.7%

Sample

1st row서울특별시 송파구 성내천로 124 (거여동)
2nd row서울특별시 송파구 백제고분로7길 28-17 (잠실동)
3rd row서울특별시 송파구 석촌호수로 140 (삼전동)
4th row서울특별시 송파구 위례성대로18길 31-20 (방이동)
5th row서울특별시 송파구 송파대로30길 11 (가락동)
ValueCountFrequency (%)
서울특별시 649
 
17.5%
송파구 649
 
17.5%
가락동 81
 
2.2%
2층 80
 
2.2%
1층 67
 
1.8%
지층 62
 
1.7%
잠실동 54
 
1.5%
삼전동 37
 
1.0%
마천로 34
 
0.9%
방이동 32
 
0.9%
Other values (565) 1957
52.9%
2024-05-11T17:26:13.096683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3280
 
16.7%
송 767
 
3.9%
파 755
 
3.8%
동 689
 
3.5%
, 657
 
3.3%
시 655
 
3.3%
서 651
 
3.3%
구 650
 
3.3%
별 649
 
3.3%
특 649
 
3.3%
Other values (193) 10281
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11499
58.4%
Space Separator 3280
 
16.7%
Decimal Number 2847
 
14.5%
Other Punctuation 657
 
3.3%
Close Punctuation 649
 
3.3%
Open Punctuation 649
 
3.3%
Dash Punctuation 63
 
0.3%
Uppercase Letter 32
 
0.2%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 767
 
6.7%
파 755
 
6.6%
동 689
 
6.0%
시 655
 
5.7%
서 651
 
5.7%
구 650
 
5.7%
별 649
 
5.6%
특 649
 
5.6%
울 649
 
5.6%
로 637
 
5.5%
Other values (156) 4748
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
25.0%
E 3
 
9.4%
O 3
 
9.4%
C 2
 
6.2%
N 2
 
6.2%
A 2
 
6.2%
S 2
 
6.2%
Y 1
 
3.1%
W 1
 
3.1%
T 1
 
3.1%
Other values (7) 7
21.9%
Decimal Number
ValueCountFrequency (%)
1 645
22.7%
2 610
21.4%
3 335
11.8%
4 294
10.3%
0 205
 
7.2%
6 174
 
6.1%
8 155
 
5.4%
5 155
 
5.4%
7 146
 
5.1%
9 128
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
i 1
25.0%
t 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
3280
100.0%
Other Punctuation
ValueCountFrequency (%)
, 657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 649
100.0%
Open Punctuation
ValueCountFrequency (%)
( 649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11499
58.4%
Common 8148
41.4%
Latin 36
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 767
 
6.7%
파 755
 
6.6%
동 689
 
6.0%
시 655
 
5.7%
서 651
 
5.7%
구 650
 
5.7%
별 649
 
5.6%
특 649
 
5.6%
울 649
 
5.6%
로 637
 
5.5%
Other values (156) 4748
41.3%
Latin
ValueCountFrequency (%)
B 8
22.2%
E 3
 
8.3%
O 3
 
8.3%
C 2
 
5.6%
N 2
 
5.6%
A 2
 
5.6%
S 2
 
5.6%
Y 1
 
2.8%
W 1
 
2.8%
u 1
 
2.8%
Other values (11) 11
30.6%
Common
ValueCountFrequency (%)
3280
40.3%
, 657
 
8.1%
) 649
 
8.0%
( 649
 
8.0%
1 645
 
7.9%
2 610
 
7.5%
3 335
 
4.1%
4 294
 
3.6%
0 205
 
2.5%
6 174
 
2.1%
Other values (6) 650
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11499
58.4%
ASCII 8184
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3280
40.1%
, 657
 
8.0%
) 649
 
7.9%
( 649
 
7.9%
1 645
 
7.9%
2 610
 
7.5%
3 335
 
4.1%
4 294
 
3.6%
0 205
 
2.5%
6 174
 
2.1%
Other values (27) 686
 
8.4%
Hangul
ValueCountFrequency (%)
송 767
 
6.7%
파 755
 
6.6%
동 689
 
6.0%
시 655
 
5.7%
서 651
 
5.7%
구 650
 
5.7%
별 649
 
5.6%
특 649
 
5.6%
울 649
 
5.6%
로 637
 
5.5%
Other values (156) 4748
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)46.1%
Missing330
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean25165.564
Minimum5510
Maximum138872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:13.245385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5549
Q15603
median5712
Q35783
95-th percentile138840
Maximum138872
Range133362
Interquartile range (IQR)180

Descriptive statistics

Standard deviation47126.564
Coefficient of variation (CV)1.8726608
Kurtosis2.0517943
Mean25165.564
Median Absolute Deviation (MAD)98
Skewness2.0097278
Sum8078146
Variance2.220913 × 109
MonotonicityNot monotonic
2024-05-11T17:26:13.382273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5712 16
 
2.5%
5711 12
 
1.8%
5782 9
 
1.4%
5559 8
 
1.2%
5783 7
 
1.1%
5713 6
 
0.9%
5657 6
 
0.9%
5557 5
 
0.8%
5641 5
 
0.8%
5768 5
 
0.8%
Other values (138) 242
37.2%
(Missing) 330
50.7%
ValueCountFrequency (%)
5510 1
0.2%
5512 2
0.3%
5517 1
0.2%
5518 1
0.2%
5523 1
0.2%
5531 1
0.2%
5536 1
0.2%
5537 1
0.2%
5542 2
0.3%
5543 2
0.3%
ValueCountFrequency (%)
138872 1
0.2%
138864 1
0.2%
138862 1
0.2%
138861 2
0.3%
138857 1
0.2%
138851 1
0.2%
138850 2
0.3%
138846 1
0.2%
138845 1
0.2%
138844 2
0.3%

사업장명
Text

Distinct534
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T17:26:13.632250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.2196621
Min length1

Characters and Unicode

Total characters3398
Distinct characters382
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

Unique467 ?
Unique (%)71.7%

Sample

1st row아로스
2nd row베스트 PC ZONE
3rd row리얼큐브
4th row이네이처
5th row가락
ValueCountFrequency (%)
pc 44
 
5.5%
pc방 22
 
2.8%
사이버파크 7
 
0.9%
cafe 7
 
0.9%
zone 7
 
0.9%
로하스 7
 
0.9%
샹떼pc방 7
 
0.9%
이네이처 5
 
0.6%
메가웹스테이션 5
 
0.6%
로또pc 5
 
0.6%
Other values (555) 680
85.4%
2024-05-11T17:26:14.011650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 382
 
11.2%
C 378
 
11.1%
방 179
 
5.3%
146
 
4.3%
이 145
 
4.3%
스 116
 
3.4%
라 54
 
1.6%
아 48
 
1.4%
점 42
 
1.2%
피 37
 
1.1%
Other values (372) 1871
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2185
64.3%
Uppercase Letter 918
27.0%
Space Separator 146
 
4.3%
Lowercase Letter 114
 
3.4%
Decimal Number 15
 
0.4%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Other Punctuation 5
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 179
 
8.2%
이 145
 
6.6%
스 116
 
5.3%
라 54
 
2.5%
아 48
 
2.2%
점 42
 
1.9%
피 37
 
1.7%
타 36
 
1.6%
로 33
 
1.5%
인 33
 
1.5%
Other values (312) 1462
66.9%
Uppercase Letter
ValueCountFrequency (%)
P 382
41.6%
C 378
41.2%
O 19
 
2.1%
E 18
 
2.0%
N 18
 
2.0%
T 13
 
1.4%
Z 11
 
1.2%
A 9
 
1.0%
R 8
 
0.9%
M 8
 
0.9%
Other values (16) 54
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 15
13.2%
c 14
12.3%
a 13
11.4%
o 12
10.5%
n 11
9.6%
p 11
9.6%
i 6
 
5.3%
f 5
 
4.4%
d 4
 
3.5%
g 4
 
3.5%
Other values (12) 19
16.7%
Decimal Number
ValueCountFrequency (%)
3 5
33.3%
2 4
26.7%
9 3
20.0%
7 3
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 1
20.0%
# 1
20.0%
, 1
20.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2185
64.3%
Latin 1032
30.4%
Common 181
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 179
 
8.2%
이 145
 
6.6%
스 116
 
5.3%
라 54
 
2.5%
아 48
 
2.2%
점 42
 
1.9%
피 37
 
1.7%
타 36
 
1.6%
로 33
 
1.5%
인 33
 
1.5%
Other values (312) 1462
66.9%
Latin
ValueCountFrequency (%)
P 382
37.0%
C 378
36.6%
O 19
 
1.8%
E 18
 
1.7%
N 18
 
1.7%
e 15
 
1.5%
c 14
 
1.4%
a 13
 
1.3%
T 13
 
1.3%
o 12
 
1.2%
Other values (38) 150
 
14.5%
Common
ValueCountFrequency (%)
146
80.7%
) 6
 
3.3%
( 6
 
3.3%
3 5
 
2.8%
2 4
 
2.2%
9 3
 
1.7%
- 3
 
1.7%
7 3
 
1.7%
. 2
 
1.1%
& 1
 
0.6%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2185
64.3%
ASCII 1213
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 382
31.5%
C 378
31.2%
146
 
12.0%
O 19
 
1.6%
E 18
 
1.5%
N 18
 
1.5%
e 15
 
1.2%
c 14
 
1.2%
a 13
 
1.1%
T 13
 
1.1%
Other values (50) 197
16.2%
Hangul
ValueCountFrequency (%)
방 179
 
8.2%
이 145
 
6.6%
스 116
 
5.3%
라 54
 
2.5%
아 48
 
2.2%
점 42
 
1.9%
피 37
 
1.7%
타 36
 
1.6%
로 33
 
1.5%
인 33
 
1.5%
Other values (312) 1462
66.9%

최종수정일자
Date

UNIQUE 

Distinct651
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2007-07-23 16:30:24
Maximum2024-05-09 16:07:25
2024-05-11T17:26:14.151721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:26:14.275093image/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 size5.2 KiB
I
402 
U
249 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 402
61.8%
U 249
38.2%

Length

2024-05-11T17:26:14.401506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:14.502416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 402
61.8%
u 249
38.2%

데이터갱신일자
Date

Distinct146
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T17:26:14.598656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:26:14.743485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct488
Distinct (%)75.4%
Missing4
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean210079.54
Minimum206908.35
Maximum213803.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:14.877937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206908.35
5-th percentile207229.92
Q1208499.7
median210293.94
Q3211186.47
95-th percentile213025.14
Maximum213803.22
Range6894.8712
Interquartile range (IQR)2686.7695

Descriptive statistics

Standard deviation1811.2178
Coefficient of variation (CV)0.008621581
Kurtosis-0.89417055
Mean210079.54
Median Absolute Deviation (MAD)1456.7749
Skewness0.061051172
Sum1.3592146 × 108
Variance3280509.8
MonotonicityNot monotonic
2024-05-11T17:26:15.002152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210403.825298326 7
 
1.1%
210293.938886456 5
 
0.8%
209658.02658065 4
 
0.6%
212664.976994997 4
 
0.6%
211753.703474149 4
 
0.6%
213468.096258992 4
 
0.6%
208389.127132882 4
 
0.6%
212592.63 3
 
0.5%
208231.360053394 3
 
0.5%
211798.63653315 3
 
0.5%
Other values (478) 606
93.1%
(Missing) 4
 
0.6%
ValueCountFrequency (%)
206908.348523164 1
0.2%
206964.414977305 1
0.2%
206976.512126715 1
0.2%
206980.481155849 1
0.2%
206990.073424609 1
0.2%
207006.591695429 1
0.2%
207043.204125402 1
0.2%
207052.003017469 1
0.2%
207052.375771419 1
0.2%
207068.774903286 1
0.2%
ValueCountFrequency (%)
213803.219673517 2
0.3%
213670.115208373 1
 
0.2%
213652.388961337 1
 
0.2%
213628.347213655 1
 
0.2%
213590.521428662 1
 
0.2%
213583.606265151 2
0.3%
213528.861341861 1
 
0.2%
213468.096258992 4
0.6%
213453.136375632 1
 
0.2%
213386.922585147 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct488
Distinct (%)75.4%
Missing4
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean444536
Minimum441412
Maximum448421.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:15.129665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441412
5-th percentile443011.02
Q1443688.63
median444547.66
Q3445234.62
95-th percentile445947.19
Maximum448421.85
Range7009.8548
Interquartile range (IQR)1545.9861

Descriptive statistics

Standard deviation1121.5991
Coefficient of variation (CV)0.0025230782
Kurtosis2.2846774
Mean444536
Median Absolute Deviation (MAD)744.16795
Skewness0.89015492
Sum2.8761479 × 108
Variance1257984.5
MonotonicityNot monotonic
2024-05-11T17:26:15.249409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443562.753075246 7
 
1.1%
443641.287574872 5
 
0.8%
445281.47800596 4
 
0.6%
444154.365848021 4
 
0.6%
443623.792976588 4
 
0.6%
443412.865755897 4
 
0.6%
444666.873120701 4
 
0.6%
443533.28 3
 
0.5%
444849.315405201 3
 
0.5%
443670.37711018 3
 
0.5%
Other values (478) 606
93.1%
(Missing) 4
 
0.6%
ValueCountFrequency (%)
441412.0 1
 
0.2%
441680.580139573 2
0.3%
441703.846676865 1
 
0.2%
442070.575741668 3
0.5%
442179.0 2
0.3%
442243.036327777 1
 
0.2%
442258.079228654 1
 
0.2%
442265.126224845 1
 
0.2%
442314.5892384 1
 
0.2%
442349.0 1
 
0.2%
ValueCountFrequency (%)
448421.854775893 1
 
0.2%
448408.828671864 1
 
0.2%
448406.385250779 1
 
0.2%
448396.7819689 1
 
0.2%
448391.797075099 3
0.5%
448375.334172357 1
 
0.2%
448368.000257576 1
 
0.2%
448356.357871225 1
 
0.2%
448344.835204233 2
0.3%
448333.220806094 1
 
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
인터넷컴퓨터게임시설제공업
519 
<NA>
132 

Length

Max length13
Median length13
Mean length11.175115
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 519
79.7%
<NA> 132
 
20.3%

Length

2024-05-11T17:26:15.355558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:15.434770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 519
79.7%
na 132
 
20.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
유통관련업
519 
<NA>
132 

Length

Max length5
Median length5
Mean length4.797235
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 519
79.7%
<NA> 132
 
20.3%

Length

2024-05-11T17:26:15.521191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:15.602383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 519
79.7%
na 132
 
20.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)18.5%
Missing570
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean5.7160494
Minimum0
Maximum43
Zeros8
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:15.681179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median4
Q36
95-th percentile13
Maximum43
Range43
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.7407198
Coefficient of variation (CV)1.004316
Kurtosis22.951842
Mean5.7160494
Median Absolute Deviation (MAD)1
Skewness4.1437962
Sum463
Variance32.955864
MonotonicityNot monotonic
2024-05-11T17:26:15.777722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 28
 
4.3%
5 13
 
2.0%
6 12
 
1.8%
0 8
 
1.2%
3 5
 
0.8%
7 4
 
0.6%
11 2
 
0.3%
20 2
 
0.3%
2 1
 
0.2%
8 1
 
0.2%
Other values (5) 5
 
0.8%
(Missing) 570
87.6%
ValueCountFrequency (%)
0 8
 
1.2%
2 1
 
0.2%
3 5
 
0.8%
4 28
4.3%
5 13
2.0%
6 12
1.8%
7 4
 
0.6%
8 1
 
0.2%
9 1
 
0.2%
11 2
 
0.3%
ValueCountFrequency (%)
43 1
 
0.2%
22 1
 
0.2%
20 2
 
0.3%
13 1
 
0.2%
12 1
 
0.2%
11 2
 
0.3%
9 1
 
0.2%
8 1
 
0.2%
7 4
 
0.6%
6 12
1.8%

주변환경명
Categorical

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
336 
기타
196 
주택가주변
46 
학교정화(상대)
42 
유흥업소밀집지역
 
28
Other values (2)
 
3

Length

Max length8
Median length4
Mean length3.9078341
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 336
51.6%
기타 196
30.1%
주택가주변 46
 
7.1%
학교정화(상대) 42
 
6.5%
유흥업소밀집지역 28
 
4.3%
아파트지역 2
 
0.3%
학교정화(절대) 1
 
0.2%

Length

2024-05-11T17:26:16.146583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:16.251985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 336
51.6%
기타 196
30.1%
주택가주변 46
 
7.1%
학교정화(상대 42
 
6.5%
유흥업소밀집지역 28
 
4.3%
아파트지역 2
 
0.3%
학교정화(절대 1
 
0.2%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing650
Missing (%)99.8%
Memory size5.2 KiB
2024-05-11T17:26:16.319180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 rowPC
ValueCountFrequency (%)
pc 1
100.0%
2024-05-11T17:26:16.495141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

시설면적
Real number (ℝ)

MISSING 

Distinct408
Distinct (%)79.2%
Missing136
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean143.97396
Minimum14
Maximum750.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:16.609257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile26.4
Q198.22
median143.28
Q3183.65
95-th percentile267.879
Maximum750.17
Range736.17
Interquartile range (IQR)85.43

Descriptive statistics

Standard deviation82.437759
Coefficient of variation (CV)0.57258797
Kurtosis9.5098969
Mean143.97396
Median Absolute Deviation (MAD)42.92
Skewness1.6915937
Sum74146.59
Variance6795.984
MonotonicityNot monotonic
2024-05-11T17:26:16.733834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 7
 
1.1%
20.0 5
 
0.8%
40.0 5
 
0.8%
26.4 5
 
0.8%
145.0 4
 
0.6%
25.0 4
 
0.6%
30.0 4
 
0.6%
158.9 3
 
0.5%
208.8 3
 
0.5%
228.9 3
 
0.5%
Other values (398) 472
72.5%
(Missing) 136
 
20.9%
ValueCountFrequency (%)
14.0 1
 
0.2%
15.5 1
 
0.2%
16.0 1
 
0.2%
16.52 2
 
0.3%
19.0 1
 
0.2%
19.66 1
 
0.2%
19.8 1
 
0.2%
20.0 5
0.8%
20.16 1
 
0.2%
21.0 1
 
0.2%
ValueCountFrequency (%)
750.17 1
0.2%
704.93 1
0.2%
463.66 1
0.2%
409.41 1
0.2%
404.93 1
0.2%
394.15 1
0.2%
372.04 1
0.2%
369.38 1
0.2%
357.7 1
0.2%
336.42 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)10.5%
Missing527
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean3.4435484
Minimum0
Maximum39
Zeros7
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:16.846528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15
Q11
median2
Q34
95-th percentile10
Maximum39
Range39
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.3135303
Coefficient of variation (CV)1.2526411
Kurtosis38.302208
Mean3.4435484
Median Absolute Deviation (MAD)1
Skewness5.2673966
Sum427
Variance18.606543
MonotonicityNot monotonic
2024-05-11T17:26:16.947535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 34
 
5.2%
1 25
 
3.8%
3 20
 
3.1%
5 13
 
2.0%
4 11
 
1.7%
0 7
 
1.1%
6 4
 
0.6%
10 4
 
0.6%
15 2
 
0.3%
8 1
 
0.2%
Other values (3) 3
 
0.5%
(Missing) 527
81.0%
ValueCountFrequency (%)
0 7
 
1.1%
1 25
3.8%
2 34
5.2%
3 20
3.1%
4 11
 
1.7%
5 13
 
2.0%
6 4
 
0.6%
7 1
 
0.2%
8 1
 
0.2%
10 4
 
0.6%
ValueCountFrequency (%)
39 1
 
0.2%
17 1
 
0.2%
15 2
 
0.3%
10 4
 
0.6%
8 1
 
0.2%
7 1
 
0.2%
6 4
 
0.6%
5 13
2.0%
4 11
1.7%
3 20
3.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)6.6%
Missing560
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean1.1428571
Minimum0
Maximum5
Zeros7
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:17.053577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2.5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.87650098
Coefficient of variation (CV)0.76693836
Kurtosis12.113792
Mean1.1428571
Median Absolute Deviation (MAD)0
Skewness3.2579058
Sum104
Variance0.76825397
MonotonicityNot monotonic
2024-05-11T17:26:17.154174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 76
 
11.7%
0 7
 
1.1%
2 3
 
0.5%
5 3
 
0.5%
3 1
 
0.2%
4 1
 
0.2%
(Missing) 560
86.0%
ValueCountFrequency (%)
0 7
 
1.1%
1 76
11.7%
2 3
 
0.5%
3 1
 
0.2%
4 1
 
0.2%
5 3
 
0.5%
ValueCountFrequency (%)
5 3
 
0.5%
4 1
 
0.2%
3 1
 
0.2%
2 3
 
0.5%
1 76
11.7%
0 7
 
1.1%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
근린생활시설
346 
<NA>
292 
유기장
 
6
판매시설
 
3
사무실
 
1
Other values (3)
 
3

Length

Max length7
Median length6
Mean length5.0568356
Min length2

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 346
53.1%
<NA> 292
44.9%
유기장 6
 
0.9%
판매시설 3
 
0.5%
사무실 1
 
0.2%
위험물저장시설 1
 
0.2%
식품위생시설 1
 
0.2%
기타 1
 
0.2%

Length

2024-05-11T17:26:17.275025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:17.387372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 346
53.1%
na 292
44.9%
유기장 6
 
0.9%
판매시설 3
 
0.5%
사무실 1
 
0.2%
위험물저장시설 1
 
0.2%
식품위생시설 1
 
0.2%
기타 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
642 
0
 
9

Length

Max length4
Median length4
Mean length3.9585253
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> 642
98.6%
0 9
 
1.4%

Length

2024-05-11T17:26:17.511881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:17.611623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 642
98.6%
0 9
 
1.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
642 
0
 
9

Length

Max length4
Median length4
Mean length3.9585253
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> 642
98.6%
0 9
 
1.4%

Length

2024-05-11T17:26:17.718555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:17.819942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 642
98.6%
0 9
 
1.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
642 
0
 
9

Length

Max length4
Median length4
Mean length3.9585253
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> 642
98.6%
0 9
 
1.4%

Length

2024-05-11T17:26:17.907802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:17.994449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 642
98.6%
0 9
 
1.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
642 
0
 
9

Length

Max length4
Median length4
Mean length3.9585253
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> 642
98.6%
0 9
 
1.4%

Length

2024-05-11T17:26:18.090733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:18.183421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 642
98.6%
0 9
 
1.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)33.6%
Missing434
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean41.013825
Minimum0
Maximum228
Zeros3
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T17:26:18.290723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median16
Q367
95-th percentile108
Maximum228
Range228
Interquartile range (IQR)60

Descriptive statistics

Standard deviation42.537291
Coefficient of variation (CV)1.0371452
Kurtosis2.5647725
Mean41.013825
Median Absolute Deviation (MAD)12
Skewness1.4214468
Sum8900
Variance1809.4211
MonotonicityNot monotonic
2024-05-11T17:26:18.402645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 24
 
3.7%
8 21
 
3.2%
6 15
 
2.3%
5 12
 
1.8%
10 8
 
1.2%
9 7
 
1.1%
60 6
 
0.9%
65 6
 
0.9%
70 6
 
0.9%
15 4
 
0.6%
Other values (63) 108
 
16.6%
(Missing) 434
66.7%
ValueCountFrequency (%)
0 3
 
0.5%
3 2
 
0.3%
4 4
 
0.6%
5 12
1.8%
6 15
2.3%
7 24
3.7%
8 21
3.2%
9 7
 
1.1%
10 8
 
1.2%
11 3
 
0.5%
ValueCountFrequency (%)
228 1
0.2%
223 1
0.2%
180 1
0.2%
160 1
0.2%
150 1
0.2%
145 2
0.3%
131 2
0.3%
117 1
0.2%
112 1
0.2%
107 1
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
556 
전체이용가
85 
청소년이용불가
 
10

Length

Max length7
Median length4
Mean length4.1766513
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 556
85.4%
전체이용가 85
 
13.1%
청소년이용불가 10
 
1.5%

Length

2024-05-11T17:26:18.531195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:18.629996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 556
85.4%
전체이용가 85
 
13.1%
청소년이용불가 10
 
1.5%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing651
Missing (%)100.0%
Memory size5.9 KiB

지역구분명
Categorical

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
316 
주거지역
264 
일반주거지역
43 
준주거지역
 
11
일반상업지역
 
8
Other values (3)
 
9

Length

Max length6
Median length4
Mean length4.1797235
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 316
48.5%
주거지역 264
40.6%
일반주거지역 43
 
6.6%
준주거지역 11
 
1.7%
일반상업지역 8
 
1.2%
상업지역 7
 
1.1%
근린상업지역 1
 
0.2%
전용주거지역 1
 
0.2%

Length

2024-05-11T17:26:18.733251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:18.862504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 316
48.5%
주거지역 264
40.6%
일반주거지역 43
 
6.6%
준주거지역 11
 
1.7%
일반상업지역 8
 
1.2%
상업지역 7
 
1.1%
근린상업지역 1
 
0.2%
전용주거지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF224102200700000120070608<NA>3폐업3폐업20100429<NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 5번지서울특별시 송파구 성내천로 124 (거여동)<NA>아로스2011-01-19 10:04:27I2018-08-31 23:59:59.0<NA>212489.549177444104.540553인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>146.672<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
13230000CDFF224102200700000220070622<NA>3폐업3폐업20110420<NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 189-4번지서울특별시 송파구 백제고분로7길 28-17 (잠실동)<NA>베스트 PC ZONE2011-04-20 14:45:07I2018-08-31 23:59:59.0<NA>207211.650816445307.380961인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>149.85<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF224102200700000320070703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 22-2서울특별시 송파구 석촌호수로 140 (삼전동)5600리얼큐브2022-11-25 15:55:40U2021-10-31 22:07:00.0<NA>208106.510001444988.080003<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF224102200700000420070711<NA>4취소/말소/만료/정지/중지35직권말소20110621<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 207번지서울특별시 송파구 위례성대로18길 31-20 (방이동)<NA>이네이처2011-06-22 10:17:12I2018-08-31 23:59:59.0<NA>211050.348471445216.91283인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>242.37<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
43230000CDFF224102200700000520070719<NA>3폐업3폐업20080421<NA><NA><NA><NA><NA>138804서울특별시 송파구 가락동 97-8번지서울특별시 송파구 송파대로30길 11 (가락동)<NA>가락2008-04-22 13:31:34I2018-08-31 23:59:59.0<NA>210402.514701443635.306871인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>107.352<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
53230000CDFF224102200700000620070720<NA>4취소/말소/만료/정지/중지35직권말소20111116<NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 211-5번지서울특별시 송파구 백제고분로34길 8 (석촌동)<NA>아이줌2011-11-16 17:50:42I2018-08-31 23:59:59.0<NA>208649.423745444400.539419인터넷컴퓨터게임시설제공업유통관련업<NA>유흥업소밀집지역<NA>140.52<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
63230000CDFF224102200700000720070723<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138826서울특별시 송파구 문정동 60번지서울특별시 송파구 새말로5길 28 (문정동)<NA>프리존2007-07-23 16:30:24I2018-08-31 23:59:59.0<NA>210878.335121442555.410541인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
73230000CDFF224102200700000820070731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 184-7번지 레이크빌 지하1층서울특별시 송파구 송파대로 453, 지하1층 (석촌동, 레이크빌 빌딩)5609라인업PC방2017-09-05 17:03:05I2018-08-31 23:59:59.0<NA>209240.579468444954.764896인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>463.66<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>160<NA><NA><NA><NA><NA>주거지역
83230000CDFF224102200700000920070807<NA>3폐업3폐업20131021<NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 79번지 2층서울특별시 송파구 마천로15길 3 (오금동,2층)<NA>PC 네오2013-10-21 14:48:46I2018-08-31 23:59:59.0<NA>211836.259475444782.576702인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>109.662<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43<NA><NA><NA><NA><NA>주거지역
93230000CDFF224102200700001020070807<NA>3폐업3폐업20100615<NA><NA><NA><NA><NA>138830서울특별시 송파구 방이동 124-20번지서울특별시 송파구 가락로 243 (방이동)<NA>사이버파크2010-06-15 16:17:00I2018-08-31 23:59:59.0<NA>210349.830977445311.794974인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>135.29<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
6413230000CDFF22410220220000072022-06-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 113-2 광남캐스빌서울특별시 송파구 문정로 261, 101호 (오금동, 광남캐스빌)5731물라PC2023-05-24 14:26:11U2022-12-04 22:06:00.0<NA>212506.868763444382.217658<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6423230000CDFF22410220220000082022-07-13<NA>3폐업3폐업2024-03-06<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 109 욱일빌딩서울특별시 송파구 오금로15길 2, 욱일빌딩 4층 (방이동)5549황금성PC랜드2024-03-06 14:01:16U2023-12-03 00:08:00.0<NA>209585.872292445535.044713<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6433230000CDFF22410220220000092022-07-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 115-20서울특별시 송파구 마천로 277, 1층 (마천동)5755물라PC2023-08-14 17:34:47U2022-12-07 23:07:00.0<NA>212974.584758443924.491741<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6443230000CDFF22410220230000012023-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 87-2서울특별시 송파구 중대로9길 46, 2층 201호 (가락동)5712쎄븐 PC2023-03-09 09:32:04I2022-12-02 23:01:00.0<NA>210456.064935443873.851042<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6453230000CDFF22410220230000022023-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 96-12 신흥빌딩서울특별시 송파구 송파대로 286, 신흥빌딩 2층 201호 (가락동)5711베스트PC2024-01-09 18:03:18U2023-11-30 23:01:00.0<NA>210293.938886443641.287575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6463230000CDFF22410220230000032023-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 202-9 구본빌딩서울특별시 송파구 성내천로 261, 구본빌딩 지층 (마천동)5749모아 PC2023-04-06 10:42:44I2022-12-04 00:08:00.0<NA>213583.606265443901.75845<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6473230000CDFF22410220230000042023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 175-28서울특별시 송파구 동남로20길 31, 1층 102호 (가락동)5770골드PC2024-04-22 17:30:17U2023-12-03 22:04:00.0<NA>211882.06338443681.917733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6483230000CDFF22410220230000052023-11-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3443-6057<NA><NA>서울특별시 송파구 잠실동 330-3서울특별시 송파구 백제고분로18길 23, 지하1층 (잠실동)5578넘버나인 PC(NO9.PC)2023-11-20 17:37:59I2022-10-31 22:02:00.0<NA>207382.70215444539.000638<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6493230000CDFF22410220230000062023-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 91-4서울특별시 송파구 중대로9길 47, 101호 (가락동)5711가락PC2023-12-15 17:33:14I2022-11-01 23:07:00.0<NA>210451.942308443911.189119<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6503230000CDFF22410220230000072024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 99-7 가락 ID TOWER서울특별시 송파구 중대로 105, 가락 ID TOWER 지하1층 B01-1호 (가락동)5719다모아 PC2024-05-09 16:07:25U2023-12-04 23:01:00.0<NA>210544.064383443492.364982<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>