Overview

Dataset statistics

Number of variables56
Number of observations190
Missing cells5677
Missing cells (%)53.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.1 KiB
Average record size in memory485.7 B

Variable types

Categorical14
Text6
DateTime3
Numeric9
Unsupported24

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-16840/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (89.4%)Imbalance
데이터갱신일자 is highly imbalanced (60.7%)Imbalance
문화체육업종명 is highly imbalanced (60.2%)Imbalance
문화사업자구분명 is highly imbalanced (60.2%)Imbalance
인허가취소일자 has 137 (72.1%) missing valuesMissing
폐업일자 has 84 (44.2%) missing valuesMissing
휴업시작일자 has 190 (100.0%) missing valuesMissing
휴업종료일자 has 190 (100.0%) missing valuesMissing
재개업일자 has 190 (100.0%) missing valuesMissing
전화번호 has 184 (96.8%) missing valuesMissing
소재지면적 has 190 (100.0%) missing valuesMissing
도로명우편번호 has 101 (53.2%) missing valuesMissing
업태구분명 has 190 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.1%) missing valuesMissing
좌표정보(Y) has 2 (1.1%) missing valuesMissing
총층수 has 153 (80.5%) missing valuesMissing
제작취급품목내용 has 65 (34.2%) missing valuesMissing
시설면적 has 16 (8.4%) missing valuesMissing
지상층수 has 123 (64.7%) missing valuesMissing
지하층수 has 136 (71.6%) missing valuesMissing
통로너비 has 190 (100.0%) missing valuesMissing
조명시설조도 has 190 (100.0%) missing valuesMissing
노래방실수 has 190 (100.0%) missing valuesMissing
청소년실수 has 190 (100.0%) missing valuesMissing
비상계단여부 has 190 (100.0%) missing valuesMissing
비상구여부 has 190 (100.0%) missing valuesMissing
자동환기여부 has 190 (100.0%) missing valuesMissing
청소년실여부 has 190 (100.0%) missing valuesMissing
특수조명여부 has 190 (100.0%) missing valuesMissing
방음시설여부 has 190 (100.0%) missing valuesMissing
비디오재생기명 has 190 (100.0%) missing valuesMissing
조명시설유무 has 190 (100.0%) missing valuesMissing
음향시설여부 has 190 (100.0%) missing valuesMissing
편의시설여부 has 190 (100.0%) missing valuesMissing
소방시설여부 has 190 (100.0%) missing valuesMissing
총게임기수 has 114 (60.0%) missing valuesMissing
기존게임업외업종명 has 190 (100.0%) missing valuesMissing
공연장형태구분명 has 190 (100.0%) missing valuesMissing
품목명 has 190 (100.0%) missing valuesMissing
최초등록시점 has 190 (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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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

Reproduction

Analysis started2024-05-18 01:03:19.039007
Analysis finished2024-05-18 01:03:20.963528
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3230000
190 

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 190
100.0%

Length

2024-05-18T10:03:21.201305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:21.666479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 190
100.0%

관리번호
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-18T10:03:22.258926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3800
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

Unique190 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142008000001
4th rowCDFF2241142008000002
5th rowCDFF2241142008000003
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.5%
cdff2241142014000003 1
 
0.5%
cdff2241142015000001 1
 
0.5%
cdff2241142013000007 1
 
0.5%
cdff2241142013000008 1
 
0.5%
cdff2241142013000009 1
 
0.5%
cdff2241142013000010 1
 
0.5%
cdff2241142013000011 1
 
0.5%
cdff2241142013000012 1
 
0.5%
cdff2241142014000001 1
 
0.5%
Other values (180) 180
94.7%
2024-05-18T10:03:23.347635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1160
30.5%
2 634
16.7%
1 578
15.2%
4 411
 
10.8%
F 380
 
10.0%
C 190
 
5.0%
D 190
 
5.0%
9 62
 
1.6%
3 53
 
1.4%
7 43
 
1.1%
Other values (3) 99
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3040
80.0%
Uppercase Letter 760
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1160
38.2%
2 634
20.9%
1 578
19.0%
4 411
 
13.5%
9 62
 
2.0%
3 53
 
1.7%
7 43
 
1.4%
8 43
 
1.4%
6 31
 
1.0%
5 25
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 380
50.0%
C 190
25.0%
D 190
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3040
80.0%
Latin 760
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1160
38.2%
2 634
20.9%
1 578
19.0%
4 411
 
13.5%
9 62
 
2.0%
3 53
 
1.7%
7 43
 
1.4%
8 43
 
1.4%
6 31
 
1.0%
5 25
 
0.8%
Latin
ValueCountFrequency (%)
F 380
50.0%
C 190
25.0%
D 190
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1160
30.5%
2 634
16.7%
1 578
15.2%
4 411
 
10.8%
F 380
 
10.0%
C 190
 
5.0%
D 190
 
5.0%
9 62
 
1.6%
3 53
 
1.4%
7 43
 
1.1%
Other values (3) 99
 
2.6%

인허가일자
Date

Distinct164
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2007-06-26 00:00:00
Maximum2021-08-04 00:00:00
2024-05-18T10:03:23.953067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:03:24.479642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)67.9%
Missing137
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean20112860
Minimum20081216
Maximum20180807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:25.008400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081216
5-th percentile20100237
Q120100504
median20100723
Q320110616
95-th percentile20154760
Maximum20180807
Range99591
Interquartile range (IQR)10112

Descriptive statistics

Standard deviation21625.793
Coefficient of variation (CV)0.0010752222
Kurtosis1.2349888
Mean20112860
Median Absolute Deviation (MAD)407
Skewness1.5039232
Sum1.0659816 × 109
Variance4.6767493 × 108
MonotonicityNot monotonic
2024-05-18T10:03:25.521146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20100416 6
 
3.2%
20100630 5
 
2.6%
20100504 4
 
2.1%
20100624 3
 
1.6%
20160225 2
 
1.1%
20150520 2
 
1.1%
20100705 2
 
1.1%
20141231 1
 
0.5%
20110408 1
 
0.5%
20110221 1
 
0.5%
Other values (26) 26
 
13.7%
(Missing) 137
72.1%
ValueCountFrequency (%)
20081216 1
 
0.5%
20100113 1
 
0.5%
20100125 1
 
0.5%
20100312 1
 
0.5%
20100315 1
 
0.5%
20100416 6
3.2%
20100504 4
2.1%
20100511 1
 
0.5%
20100624 3
1.6%
20100630 5
2.6%
ValueCountFrequency (%)
20180807 1
0.5%
20160225 2
1.1%
20151116 1
0.5%
20150529 1
0.5%
20150520 2
1.1%
20150430 1
0.5%
20141231 1
0.5%
20141008 1
0.5%
20130716 1
0.5%
20130531 1
0.5%

영업상태코드
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
92 
4
67 
1
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 92
48.4%
4 67
35.3%
1 31
 
16.3%

Length

2024-05-18T10:03:26.087445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:26.510347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 92
48.4%
4 67
35.3%
1 31
 
16.3%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
92 
취소/말소/만료/정지/중지
67 
영업/정상
31 

Length

Max length14
Median length5
Mean length6.7210526
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 92
48.4%
취소/말소/만료/정지/중지 67
35.3%
영업/정상 31
 
16.3%

Length

2024-05-18T10:03:27.001896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:27.357697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 92
48.4%
취소/말소/만료/정지/중지 67
35.3%
영업/정상 31
 
16.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
92 
31
53 
13
31 
35
14 

Length

Max length2
Median length2
Mean length1.5157895
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row3
4th row3
5th row31

Common Values

ValueCountFrequency (%)
3 92
48.4%
31 53
27.9%
13 31
 
16.3%
35 14
 
7.4%

Length

2024-05-18T10:03:27.834419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:28.319271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 92
48.4%
31 53
27.9%
13 31
 
16.3%
35 14
 
7.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
92 
등록취소
53 
영업중
31 
직권말소
14 

Length

Max length4
Median length3
Mean length2.8684211
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 92
48.4%
등록취소 53
27.9%
영업중 31
 
16.3%
직권말소 14
 
7.4%

Length

2024-05-18T10:03:28.726861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:29.260287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 92
48.4%
등록취소 53
27.9%
영업중 31
 
16.3%
직권말소 14
 
7.4%

폐업일자
Date

MISSING 

Distinct94
Distinct (%)88.7%
Missing84
Missing (%)44.2%
Memory size1.6 KiB
Minimum2008-06-10 00:00:00
Maximum2024-03-27 00:00:00
2024-05-18T10:03:30.353217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:03:31.099135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing184
Missing (%)96.8%
Memory size1.6 KiB
2024-05-18T10:03:31.810128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8333333
Min length8

Characters and Unicode

Total characters59
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

Unique6 ?
Unique (%)100.0%

Sample

1st row411-2224
2nd row400-7942
3rd row424-7654
4th row02-411-2223
5th row02-414-1474
ValueCountFrequency (%)
411-2224 1
16.7%
400-7942 1
16.7%
424-7654 1
16.7%
02-411-2223 1
16.7%
02-414-1474 1
16.7%
070-4221-1368 1
16.7%
2024-05-18T10:03:34.151992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 13
22.0%
2 12
20.3%
- 9
15.3%
1 8
13.6%
0 6
10.2%
7 4
 
6.8%
6 2
 
3.4%
3 2
 
3.4%
9 1
 
1.7%
5 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
84.7%
Dash Punctuation 9
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 13
26.0%
2 12
24.0%
1 8
16.0%
0 6
12.0%
7 4
 
8.0%
6 2
 
4.0%
3 2
 
4.0%
9 1
 
2.0%
5 1
 
2.0%
8 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 13
22.0%
2 12
20.3%
- 9
15.3%
1 8
13.6%
0 6
10.2%
7 4
 
6.8%
6 2
 
3.4%
3 2
 
3.4%
9 1
 
1.7%
5 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 13
22.0%
2 12
20.3%
- 9
15.3%
1 8
13.6%
0 6
10.2%
7 4
 
6.8%
6 2
 
3.4%
3 2
 
3.4%
9 1
 
1.7%
5 1
 
1.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
184 
138220
 
2
138832
 
1
138861
 
1
138848
 
1

Length

Max length6
Median length4
Mean length4.0631579
Min length4

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row138832
5th row138861

Common Values

ValueCountFrequency (%)
<NA> 184
96.8%
138220 2
 
1.1%
138832 1
 
0.5%
138861 1
 
0.5%
138848 1
 
0.5%
138849 1
 
0.5%

Length

2024-05-18T10:03:34.788411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:35.393743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
96.8%
138220 2
 
1.1%
138832 1
 
0.5%
138861 1
 
0.5%
138848 1
 
0.5%
138849 1
 
0.5%

지번주소
Text

Distinct170
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-18T10:03:36.137067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length24.389474
Min length16

Characters and Unicode

Total characters4634
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)80.5%

Sample

1st row서울특별시 송파구 잠실동 40-1번지 지상1층
2nd row서울특별시 송파구 잠실동 40-1번지 지상1층
3rd row서울특별시 송파구 풍납동 130-34번지 지층
4th row서울특별시 송파구 방이동 142-16번지 2층
5th row서울특별시 송파구 잠실동 189-9번지
ValueCountFrequency (%)
서울특별시 190
20.9%
송파구 190
20.9%
잠실동 50
 
5.5%
지층 50
 
5.5%
가락동 32
 
3.5%
방이동 31
 
3.4%
지하1층 25
 
2.8%
석촌동 21
 
2.3%
2층 13
 
1.4%
송파동 13
 
1.4%
Other values (194) 293
32.3%
2024-05-18T10:03:37.430530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
887
19.1%
지 258
 
5.6%
1 218
 
4.7%
파 204
 
4.4%
송 203
 
4.4%
동 192
 
4.1%
시 191
 
4.1%
서 190
 
4.1%
울 190
 
4.1%
구 190
 
4.1%
Other values (105) 1911
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2796
60.3%
Space Separator 887
 
19.1%
Decimal Number 775
 
16.7%
Dash Punctuation 158
 
3.4%
Uppercase Letter 16
 
0.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 258
 
9.2%
파 204
 
7.3%
송 203
 
7.3%
동 192
 
6.9%
시 191
 
6.8%
서 190
 
6.8%
울 190
 
6.8%
구 190
 
6.8%
별 190
 
6.8%
특 190
 
6.8%
Other values (80) 798
28.5%
Uppercase Letter
ValueCountFrequency (%)
U 2
12.5%
S 2
12.5%
N 2
12.5%
A 2
12.5%
O 1
6.2%
G 1
6.2%
P 1
6.2%
F 1
6.2%
T 1
6.2%
D 1
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
1 218
28.1%
2 104
13.4%
0 75
 
9.7%
8 75
 
9.7%
4 68
 
8.8%
3 64
 
8.3%
9 52
 
6.7%
5 43
 
5.5%
6 40
 
5.2%
7 36
 
4.6%
Space Separator
ValueCountFrequency (%)
887
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2796
60.3%
Common 1822
39.3%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 258
 
9.2%
파 204
 
7.3%
송 203
 
7.3%
동 192
 
6.9%
시 191
 
6.8%
서 190
 
6.8%
울 190
 
6.8%
구 190
 
6.8%
별 190
 
6.8%
특 190
 
6.8%
Other values (80) 798
28.5%
Common
ValueCountFrequency (%)
887
48.7%
1 218
 
12.0%
- 158
 
8.7%
2 104
 
5.7%
0 75
 
4.1%
8 75
 
4.1%
4 68
 
3.7%
3 64
 
3.5%
9 52
 
2.9%
5 43
 
2.4%
Other values (3) 78
 
4.3%
Latin
ValueCountFrequency (%)
U 2
12.5%
S 2
12.5%
N 2
12.5%
A 2
12.5%
O 1
6.2%
G 1
6.2%
P 1
6.2%
F 1
6.2%
T 1
6.2%
D 1
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2796
60.3%
ASCII 1838
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
887
48.3%
1 218
 
11.9%
- 158
 
8.6%
2 104
 
5.7%
0 75
 
4.1%
8 75
 
4.1%
4 68
 
3.7%
3 64
 
3.5%
9 52
 
2.8%
5 43
 
2.3%
Other values (15) 94
 
5.1%
Hangul
ValueCountFrequency (%)
지 258
 
9.2%
파 204
 
7.3%
송 203
 
7.3%
동 192
 
6.9%
시 191
 
6.8%
서 190
 
6.8%
울 190
 
6.8%
구 190
 
6.8%
별 190
 
6.8%
특 190
 
6.8%
Other values (80) 798
28.5%

도로명주소
Text

Distinct176
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-18T10:03:38.263530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length48
Mean length31.536842
Min length24

Characters and Unicode

Total characters5992
Distinct characters139
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

Unique163 ?
Unique (%)85.8%

Sample

1st row서울특별시 송파구 올림픽로 240 (잠실동,지상1층)
2nd row서울특별시 송파구 올림픽로 240 (잠실동,지상1층)
3rd row서울특별시 송파구 바람드리길 22 (풍납동)
4th row서울특별시 송파구 백제고분로48길 29 (방이동,2층)
5th row서울특별시 송파구 백제고분로7길 32-10 (잠실동)
ValueCountFrequency (%)
서울특별시 190
 
17.5%
송파구 190
 
17.5%
1층 38
 
3.5%
잠실동 32
 
2.9%
백제고분로7길 22
 
2.0%
가락동 18
 
1.7%
올림픽로 15
 
1.4%
올림픽로32길 15
 
1.4%
2층 12
 
1.1%
송파대로30길 12
 
1.1%
Other values (268) 542
49.9%
2024-05-18T10:03:39.726160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
987
 
16.5%
1 237
 
4.0%
송 228
 
3.8%
파 227
 
3.8%
동 204
 
3.4%
, 198
 
3.3%
서 191
 
3.2%
시 191
 
3.2%
특 190
 
3.2%
별 190
 
3.2%
Other values (129) 3149
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3501
58.4%
Space Separator 987
 
16.5%
Decimal Number 888
 
14.8%
Other Punctuation 198
 
3.3%
Close Punctuation 190
 
3.2%
Open Punctuation 190
 
3.2%
Dash Punctuation 33
 
0.6%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 228
 
6.5%
파 227
 
6.5%
동 204
 
5.8%
서 191
 
5.5%
시 191
 
5.5%
특 190
 
5.4%
별 190
 
5.4%
구 190
 
5.4%
울 190
 
5.4%
로 189
 
5.4%
Other values (110) 1511
43.2%
Decimal Number
ValueCountFrequency (%)
1 237
26.7%
2 168
18.9%
3 110
12.4%
4 82
 
9.2%
0 67
 
7.5%
7 64
 
7.2%
8 50
 
5.6%
6 49
 
5.5%
5 44
 
5.0%
9 17
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
C 1
20.0%
G 1
20.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
, 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3501
58.4%
Common 2486
41.5%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 228
 
6.5%
파 227
 
6.5%
동 204
 
5.8%
서 191
 
5.5%
시 191
 
5.5%
특 190
 
5.4%
별 190
 
5.4%
구 190
 
5.4%
울 190
 
5.4%
로 189
 
5.4%
Other values (110) 1511
43.2%
Common
ValueCountFrequency (%)
987
39.7%
1 237
 
9.5%
, 198
 
8.0%
) 190
 
7.6%
( 190
 
7.6%
2 168
 
6.8%
3 110
 
4.4%
4 82
 
3.3%
0 67
 
2.7%
7 64
 
2.6%
Other values (5) 193
 
7.8%
Latin
ValueCountFrequency (%)
B 2
40.0%
C 1
20.0%
G 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3501
58.4%
ASCII 2491
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
987
39.6%
1 237
 
9.5%
, 198
 
7.9%
) 190
 
7.6%
( 190
 
7.6%
2 168
 
6.7%
3 110
 
4.4%
4 82
 
3.3%
0 67
 
2.7%
7 64
 
2.6%
Other values (9) 198
 
7.9%
Hangul
ValueCountFrequency (%)
송 228
 
6.5%
파 227
 
6.5%
동 204
 
5.8%
서 191
 
5.5%
시 191
 
5.5%
특 190
 
5.4%
별 190
 
5.4%
구 190
 
5.4%
울 190
 
5.4%
로 189
 
5.4%
Other values (110) 1511
43.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)65.2%
Missing101
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean41563.798
Minimum5510
Maximum138872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:40.358274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5554
Q15560
median5735
Q3138721
95-th percentile138861
Maximum138872
Range133362
Interquartile range (IQR)133161

Descriptive statistics

Standard deviation59422.143
Coefficient of variation (CV)1.429661
Kurtosis-0.90586832
Mean41563.798
Median Absolute Deviation (MAD)175
Skewness1.0559309
Sum3699178
Variance3.530991 × 109
MonotonicityNot monotonic
2024-05-18T10:03:40.964736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5559 6
 
3.2%
5558 5
 
2.6%
138861 4
 
2.1%
5836 3
 
1.6%
5554 3
 
1.6%
5560 3
 
1.6%
5581 3
 
1.6%
138721 3
 
1.6%
5557 2
 
1.1%
138722 2
 
1.1%
Other values (48) 55
28.9%
(Missing) 101
53.2%
ValueCountFrequency (%)
5510 1
 
0.5%
5518 1
 
0.5%
5542 1
 
0.5%
5551 1
 
0.5%
5554 3
1.6%
5557 2
 
1.1%
5558 5
2.6%
5559 6
3.2%
5560 3
1.6%
5563 1
 
0.5%
ValueCountFrequency (%)
138872 1
 
0.5%
138862 1
 
0.5%
138861 4
2.1%
138842 2
1.1%
138830 2
1.1%
138829 1
 
0.5%
138827 2
1.1%
138818 2
1.1%
138805 1
 
0.5%
138802 1
 
0.5%

사업장명
Text

Distinct158
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-18T10:03:41.769140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length5.7052632
Min length1

Characters and Unicode

Total characters1084
Distinct characters236
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

Unique135 ?
Unique (%)71.1%

Sample

1st row코로도바
2nd row게임펙토리
3rd row풍납게임장
4th row트리플엑스
5th row게임랜드
ValueCountFrequency (%)
월드게임랜드 5
 
2.2%
게임랜드 5
 
2.2%
인형뽑기 5
 
2.2%
월드게임장 4
 
1.8%
파라다이스 3
 
1.3%
가락게임랜드 3
 
1.3%
가락게임장 3
 
1.3%
스카이게임장 3
 
1.3%
못된강아지 3
 
1.3%
펭귄나라 2
 
0.9%
Other values (168) 187
83.9%
2024-05-18T10:03:43.233290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 97
 
8.9%
임 94
 
8.7%
드 72
 
6.6%
랜 52
 
4.8%
장 33
 
3.0%
33
 
3.0%
스 29
 
2.7%
이 25
 
2.3%
뽑 24
 
2.2%
기 19
 
1.8%
Other values (226) 606
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 962
88.7%
Uppercase Letter 63
 
5.8%
Space Separator 33
 
3.0%
Lowercase Letter 10
 
0.9%
Other Punctuation 6
 
0.6%
Decimal Number 5
 
0.5%
Dash Punctuation 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 97
 
10.1%
임 94
 
9.8%
드 72
 
7.5%
랜 52
 
5.4%
장 33
 
3.4%
스 29
 
3.0%
이 25
 
2.6%
뽑 24
 
2.5%
기 19
 
2.0%
인 18
 
1.9%
Other values (187) 499
51.9%
Uppercase Letter
ValueCountFrequency (%)
C 6
 
9.5%
O 5
 
7.9%
S 5
 
7.9%
P 4
 
6.3%
H 4
 
6.3%
N 4
 
6.3%
G 4
 
6.3%
I 4
 
6.3%
T 4
 
6.3%
E 4
 
6.3%
Other values (10) 19
30.2%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
o 1
10.0%
d 1
10.0%
n 1
10.0%
u 1
10.0%
r 1
10.0%
y 1
10.0%
l 1
10.0%
e 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2
33.3%
! 2
33.3%
# 1
16.7%
& 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 962
88.7%
Latin 73
 
6.7%
Common 49
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 97
 
10.1%
임 94
 
9.8%
드 72
 
7.5%
랜 52
 
5.4%
장 33
 
3.4%
스 29
 
3.0%
이 25
 
2.6%
뽑 24
 
2.5%
기 19
 
2.0%
인 18
 
1.9%
Other values (187) 499
51.9%
Latin
ValueCountFrequency (%)
C 6
 
8.2%
O 5
 
6.8%
S 5
 
6.8%
P 4
 
5.5%
H 4
 
5.5%
N 4
 
5.5%
G 4
 
5.5%
I 4
 
5.5%
T 4
 
5.5%
E 4
 
5.5%
Other values (19) 29
39.7%
Common
ValueCountFrequency (%)
33
67.3%
2 3
 
6.1%
- 3
 
6.1%
1 2
 
4.1%
. 2
 
4.1%
! 2
 
4.1%
( 1
 
2.0%
# 1
 
2.0%
) 1
 
2.0%
& 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 962
88.7%
ASCII 122
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 97
 
10.1%
임 94
 
9.8%
드 72
 
7.5%
랜 52
 
5.4%
장 33
 
3.4%
스 29
 
3.0%
이 25
 
2.6%
뽑 24
 
2.5%
기 19
 
2.0%
인 18
 
1.9%
Other values (187) 499
51.9%
ASCII
ValueCountFrequency (%)
33
27.0%
C 6
 
4.9%
O 5
 
4.1%
S 5
 
4.1%
P 4
 
3.3%
H 4
 
3.3%
N 4
 
3.3%
G 4
 
3.3%
I 4
 
3.3%
T 4
 
3.3%
Other values (29) 49
40.2%

최종수정일자
Date

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2008-07-22 15:06:23
Maximum2024-03-27 16:15:26
2024-05-18T10:03:43.854083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:03:44.484859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
145 
U
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 145
76.3%
U 45
 
23.7%

Length

2024-05-18T10:03:45.121397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:45.525669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 145
76.3%
u 45
 
23.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct42
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2018-08-31 23:59:59.0
142 
2022-12-01 23:09:00.0
 
6
2020-02-23 02:40:00.0
 
3
2021-07-22 02:40:00.0
 
1
2021-12-02 21:00:00.0
 
1
Other values (37)
37 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique39 ?
Unique (%)20.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-02-23 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 142
74.7%
2022-12-01 23:09:00.0 6
 
3.2%
2020-02-23 02:40:00.0 3
 
1.6%
2021-07-22 02:40:00.0 1
 
0.5%
2021-12-02 21:00:00.0 1
 
0.5%
2021-12-06 00:05:00.0 1
 
0.5%
2021-10-31 22:07:00.0 1
 
0.5%
2022-02-09 02:40:00.0 1
 
0.5%
2021-04-28 02:40:00.0 1
 
0.5%
2021-06-20 02:40:00.0 1
 
0.5%
Other values (32) 32
 
16.8%

Length

2024-05-18T10:03:46.107555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 143
37.6%
2018-08-31 142
37.4%
02:40:00.0 29
 
7.6%
2022-12-01 8
 
2.1%
23:09:00.0 6
 
1.6%
2020-02-23 3
 
0.8%
22:04:00.0 1
 
0.3%
2020-11-01 1
 
0.3%
22:09:00.0 1
 
0.3%
2023-12-02 1
 
0.3%
Other values (45) 45
 
11.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)73.9%
Missing2
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean209459.86
Minimum207129.27
Maximum213148.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:46.642127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207129.27
5-th percentile207192.61
Q1208215.53
median209537.07
Q3210403.83
95-th percentile212846.4
Maximum213148.58
Range6019.3103
Interquartile range (IQR)2188.2912

Descriptive statistics

Standard deviation1632.6531
Coefficient of variation (CV)0.0077945866
Kurtosis-0.51007484
Mean209459.86
Median Absolute Deviation (MAD)993.00157
Skewness0.38085197
Sum39378454
Variance2665556
MonotonicityNot monotonic
2024-05-18T10:03:47.111985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208589.363343145 10
 
5.3%
210403.825298326 7
 
3.7%
207431.833885174 4
 
2.1%
207409.138769417 4
 
2.1%
208676.708698342 3
 
1.6%
207181.098559568 3
 
1.6%
207222.404796277 3
 
1.6%
208648.850084121 3
 
1.6%
209852.350642305 3
 
1.6%
210987.623407435 2
 
1.1%
Other values (129) 146
76.8%
ValueCountFrequency (%)
207129.271568298 2
1.1%
207135.25 2
1.1%
207136.856116173 1
 
0.5%
207148.374688088 1
 
0.5%
207157.872959893 1
 
0.5%
207181.098559568 3
1.6%
207214.001385985 1
 
0.5%
207222.404796277 3
1.6%
207237.209516269 1
 
0.5%
207258.996055878 1
 
0.5%
ValueCountFrequency (%)
213148.581914117 1
0.5%
212998.852223494 1
0.5%
212980.452378297 1
0.5%
212975.284687756 1
0.5%
212947.518523685 1
0.5%
212940.555155494 1
0.5%
212923.875599896 1
0.5%
212906.764840691 1
0.5%
212897.43493232 1
0.5%
212868.812454154 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)73.9%
Missing2
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean444789.85
Minimum441412
Maximum448396.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:47.751119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441412
5-th percentile443383.96
Q1444090.76
median444997.36
Q3445410.63
95-th percentile445783.41
Maximum448396.7
Range6984.7009
Interquartile range (IQR)1319.8626

Descriptive statistics

Standard deviation979.77233
Coefficient of variation (CV)0.0022027758
Kurtosis2.2413671
Mean444789.85
Median Absolute Deviation (MAD)462.73719
Skewness-0.037250272
Sum83620491
Variance959953.81
MonotonicityNot monotonic
2024-05-18T10:03:48.239032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445455.90405262 10
 
5.3%
443562.753075246 7
 
3.7%
445383.091889694 4
 
2.1%
445353.645786111 4
 
2.1%
444647.497447563 3
 
1.6%
445247.55683687 3
 
1.6%
445345.127848386 3
 
1.6%
444767.440404014 3
 
1.6%
445557.094917436 3
 
1.6%
444488.902397508 2
 
1.1%
Other values (129) 146
76.8%
ValueCountFrequency (%)
441412.0 1
0.5%
442026.988783 1
0.5%
442553.0 2
1.1%
442587.0 1
0.5%
442887.504169024 1
0.5%
442888.397840066 1
0.5%
443034.127133334 1
0.5%
443191.865894673 1
0.5%
443373.30148649 1
0.5%
443403.751557022 1
0.5%
ValueCountFrequency (%)
448396.700936714 1
0.5%
448344.835204233 1
0.5%
448311.722554126 1
0.5%
446007.966801057 1
0.5%
445921.564437691 1
0.5%
445868.526191867 1
0.5%
445854.428066419 1
0.5%
445803.929040916 1
0.5%
445790.625193642 2
1.1%
445770.002465605 1
0.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
청소년게임제공업
175 
<NA>
 
15

Length

Max length8
Median length8
Mean length7.6842105
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 175
92.1%
<NA> 15
 
7.9%

Length

2024-05-18T10:03:48.756351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:49.146411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 175
92.1%
na 15
 
7.9%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유통관련업
175 
<NA>
 
15

Length

Max length5
Median length5
Mean length4.9210526
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 175
92.1%
<NA> 15
 
7.9%

Length

2024-05-18T10:03:49.597595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:49.999933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 175
92.1%
na 15
 
7.9%

총층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)35.1%
Missing153
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean6.972973
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:50.325727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q37
95-th percentile19.2
Maximum22
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.1934065
Coefficient of variation (CV)0.74479086
Kurtosis2.2745524
Mean6.972973
Median Absolute Deviation (MAD)1
Skewness1.8313584
Sum258
Variance26.971471
MonotonicityNot monotonic
2024-05-18T10:03:50.679460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 14
 
7.4%
5 5
 
2.6%
7 4
 
2.1%
6 4
 
2.1%
3 2
 
1.1%
11 1
 
0.5%
12 1
 
0.5%
2 1
 
0.5%
15 1
 
0.5%
20 1
 
0.5%
Other values (3) 3
 
1.6%
(Missing) 153
80.5%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.1%
4 14
7.4%
5 5
 
2.6%
6 4
 
2.1%
7 4
 
2.1%
11 1
 
0.5%
12 1
 
0.5%
15 1
 
0.5%
18 1
 
0.5%
ValueCountFrequency (%)
22 1
 
0.5%
20 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
15 1
 
0.5%
12 1
 
0.5%
11 1
 
0.5%
7 4
2.1%
6 4
2.1%
5 5
2.6%

주변환경명
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
100 
유흥업소밀집지역
36 
기타
31 
주택가주변
20 
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length4.5842105
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
52.6%
유흥업소밀집지역 36
 
18.9%
기타 31
 
16.3%
주택가주변 20
 
10.5%
학교정화(상대) 2
 
1.1%
아파트지역 1
 
0.5%

Length

2024-05-18T10:03:51.117910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:51.479753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
52.6%
유흥업소밀집지역 36
 
18.9%
기타 31
 
16.3%
주택가주변 20
 
10.5%
학교정화(상대 2
 
1.1%
아파트지역 1
 
0.5%

제작취급품목내용
Text

MISSING 

Distinct107
Distinct (%)85.6%
Missing65
Missing (%)34.2%
Memory size1.6 KiB
2024-05-18T10:03:52.060389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length25
Mean length7.376
Min length2

Characters and Unicode

Total characters922
Distinct characters222
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)75.2%

Sample

1st row타임4, 레이징스톰, 하우스4외18종
2nd row거북선
3rd row이어도
4th row아르고
5th row뉴아쿠아월드
ValueCountFrequency (%)
물보라 4
 
2.6%
아케이드 3
 
1.9%
토이즈팝 3
 
1.9%
리틀서브마린 3
 
1.9%
해물어 2
 
1.3%
유니온 2
 
1.3%
외 2
 
1.3%
아케이드게임 2
 
1.3%
씨파라다이스ⅲ 2
 
1.3%
오션골드 2
 
1.3%
Other values (124) 131
84.0%
2024-05-18T10:03:53.088744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 39
 
4.2%
, 37
 
4.0%
31
 
3.4%
스 30
 
3.3%
드 25
 
2.7%
2 23
 
2.5%
아 21
 
2.3%
1 18
 
2.0%
레 18
 
2.0%
대 14
 
1.5%
Other values (212) 666
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
78.4%
Decimal Number 72
 
7.8%
Other Punctuation 37
 
4.0%
Space Separator 31
 
3.4%
Lowercase Letter 24
 
2.6%
Uppercase Letter 13
 
1.4%
Close Punctuation 9
 
1.0%
Open Punctuation 9
 
1.0%
Letter Number 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 39
 
5.4%
스 30
 
4.1%
드 25
 
3.5%
아 21
 
2.9%
레 18
 
2.5%
대 14
 
1.9%
토 14
 
1.9%
러 13
 
1.8%
인 13
 
1.8%
보 12
 
1.7%
Other values (176) 524
72.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
12.5%
o 3
12.5%
a 3
12.5%
n 2
8.3%
l 2
8.3%
e 2
8.3%
d 2
8.3%
i 2
8.3%
u 2
8.3%
r 1
 
4.2%
Other values (2) 2
8.3%
Decimal Number
ValueCountFrequency (%)
2 23
31.9%
1 18
25.0%
0 11
15.3%
3 6
 
8.3%
4 6
 
8.3%
6 4
 
5.6%
5 2
 
2.8%
8 1
 
1.4%
7 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
P 2
15.4%
G 2
15.4%
R 2
15.4%
A 2
15.4%
B 1
7.7%
N 1
7.7%
D 1
7.7%
Q 1
7.7%
S 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
78.4%
Common 160
 
17.4%
Latin 39
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 39
 
5.4%
스 30
 
4.1%
드 25
 
3.5%
아 21
 
2.9%
레 18
 
2.5%
대 14
 
1.9%
토 14
 
1.9%
러 13
 
1.8%
인 13
 
1.8%
보 12
 
1.7%
Other values (176) 524
72.5%
Latin
ValueCountFrequency (%)
c 3
 
7.7%
o 3
 
7.7%
a 3
 
7.7%
n 2
 
5.1%
l 2
 
5.1%
P 2
 
5.1%
e 2
 
5.1%
d 2
 
5.1%
G 2
 
5.1%
i 2
 
5.1%
Other values (12) 16
41.0%
Common
ValueCountFrequency (%)
, 37
23.1%
31
19.4%
2 23
14.4%
1 18
11.2%
0 11
 
6.9%
) 9
 
5.6%
( 9
 
5.6%
3 6
 
3.8%
4 6
 
3.8%
6 4
 
2.5%
Other values (4) 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
78.4%
ASCII 197
 
21.4%
Number Forms 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 39
 
5.4%
스 30
 
4.1%
드 25
 
3.5%
아 21
 
2.9%
레 18
 
2.5%
대 14
 
1.9%
토 14
 
1.9%
러 13
 
1.8%
인 13
 
1.8%
보 12
 
1.7%
Other values (176) 524
72.5%
ASCII
ValueCountFrequency (%)
, 37
18.8%
31
15.7%
2 23
11.7%
1 18
9.1%
0 11
 
5.6%
) 9
 
4.6%
( 9
 
4.6%
3 6
 
3.0%
4 6
 
3.0%
6 4
 
2.0%
Other values (25) 43
21.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)79.3%
Missing16
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean121.20632
Minimum16.5
Maximum446.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:53.520652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.5
5-th percentile28.6175
Q194.23
median123
Q3148.15
95-th percentile223.3845
Maximum446.4
Range429.9
Interquartile range (IQR)53.92

Descriptive statistics

Standard deviation61.51021
Coefficient of variation (CV)0.50748352
Kurtosis4.6928143
Mean121.20632
Median Absolute Deviation (MAD)25.24
Skewness1.1288277
Sum21089.9
Variance3783.506
MonotonicityNot monotonic
2024-05-18T10:03:53.984152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
2.6%
106.56 4
 
2.1%
129.69 4
 
2.1%
138.88 4
 
2.1%
148.15 3
 
1.6%
137.53 3
 
1.6%
24.0 2
 
1.1%
30.0 2
 
1.1%
117.53 2
 
1.1%
25.0 2
 
1.1%
Other values (128) 143
75.3%
(Missing) 16
 
8.4%
ValueCountFrequency (%)
16.5 1
0.5%
23.0 1
0.5%
24.0 2
1.1%
25.0 2
1.1%
26.0 1
0.5%
27.64 1
0.5%
28.0 1
0.5%
28.95 1
0.5%
29.26 1
0.5%
30.0 2
1.1%
ValueCountFrequency (%)
446.4 1
0.5%
345.61 1
0.5%
297.76 1
0.5%
261.96 1
0.5%
248.76 1
0.5%
248.7 1
0.5%
245.34 1
0.5%
236.01 1
0.5%
227.07 1
0.5%
221.4 1
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)17.9%
Missing123
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean3.5671642
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:54.333378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile11.7
Maximum17
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.4694506
Coefficient of variation (CV)0.97260748
Kurtosis5.1654145
Mean3.5671642
Median Absolute Deviation (MAD)2
Skewness2.2438239
Sum239
Variance12.037087
MonotonicityNot monotonic
2024-05-18T10:03:54.703222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 23
 
12.1%
3 18
 
9.5%
4 7
 
3.7%
2 5
 
2.6%
6 5
 
2.6%
5 3
 
1.6%
11 1
 
0.5%
10 1
 
0.5%
15 1
 
0.5%
12 1
 
0.5%
Other values (2) 2
 
1.1%
(Missing) 123
64.7%
ValueCountFrequency (%)
1 23
12.1%
2 5
 
2.6%
3 18
9.5%
4 7
 
3.7%
5 3
 
1.6%
6 5
 
2.6%
10 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
14 1
 
0.5%
ValueCountFrequency (%)
17 1
 
0.5%
15 1
 
0.5%
14 1
 
0.5%
12 1
 
0.5%
11 1
 
0.5%
10 1
 
0.5%
6 5
 
2.6%
5 3
 
1.6%
4 7
 
3.7%
3 18
9.5%

지하층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)11.1%
Missing136
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.5185185
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:55.054638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2993575
Coefficient of variation (CV)0.85567443
Kurtosis4.510365
Mean1.5185185
Median Absolute Deviation (MAD)0
Skewness2.422947
Sum82
Variance1.6883298
MonotonicityNot monotonic
2024-05-18T10:03:55.533875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 45
 
23.7%
5 4
 
2.1%
2 2
 
1.1%
4 1
 
0.5%
3 1
 
0.5%
6 1
 
0.5%
(Missing) 136
71.6%
ValueCountFrequency (%)
1 45
23.7%
2 2
 
1.1%
3 1
 
0.5%
4 1
 
0.5%
5 4
 
2.1%
6 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
5 4
 
2.1%
4 1
 
0.5%
3 1
 
0.5%
2 2
 
1.1%
1 45
23.7%

건물용도명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
근린생활시설
97 
<NA>
86 
판매시설
 
4
유기장
 
3

Length

Max length6
Median length6
Mean length5.0052632
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 97
51.1%
<NA> 86
45.3%
판매시설 4
 
2.1%
유기장 3
 
1.6%

Length

2024-05-18T10:03:55.921525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:56.259079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 97
51.1%
na 86
45.3%
판매시설 4
 
2.1%
유기장 3
 
1.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)38.2%
Missing114
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean26.328947
Minimum7
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-18T10:03:56.834738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q112
median25
Q340
95-th percentile46.25
Maximum60
Range53
Interquartile range (IQR)28

Descriptive statistics

Standard deviation14.483451
Coefficient of variation (CV)0.55009609
Kurtosis-1.3461704
Mean26.328947
Median Absolute Deviation (MAD)15
Skewness0.17791862
Sum2001
Variance209.77035
MonotonicityNot monotonic
2024-05-18T10:03:57.246465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
40 23
 
12.1%
8 5
 
2.6%
10 5
 
2.6%
15 4
 
2.1%
12 4
 
2.1%
9 3
 
1.6%
16 3
 
1.6%
19 2
 
1.1%
35 2
 
1.1%
39 2
 
1.1%
Other values (19) 23
 
12.1%
(Missing) 114
60.0%
ValueCountFrequency (%)
7 2
 
1.1%
8 5
2.6%
9 3
1.6%
10 5
2.6%
11 2
 
1.1%
12 4
2.1%
13 1
 
0.5%
14 1
 
0.5%
15 4
2.1%
16 3
1.6%
ValueCountFrequency (%)
60 1
 
0.5%
54 1
 
0.5%
50 2
 
1.1%
45 1
 
0.5%
40 23
12.1%
39 2
 
1.1%
35 2
 
1.1%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

제공게임물명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
전체이용가
152 
<NA>
38 

Length

Max length5
Median length5
Mean length4.8
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 (%)
전체이용가 152
80.0%
<NA> 38
 
20.0%

Length

2024-05-18T10:03:57.630079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:57.924926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 152
80.0%
na 38
 
20.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

지역구분명
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
90 
주거지역
42 
일반주거지역
38 
준주거지역
 
9
상업지역
 
7

Length

Max length6
Median length4
Mean length4.4894737
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 90
47.4%
주거지역 42
22.1%
일반주거지역 38
20.0%
준주거지역 9
 
4.7%
상업지역 7
 
3.7%
일반상업지역 4
 
2.1%

Length

2024-05-18T10:03:58.312664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:03:58.709090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
47.4%
주거지역 42
22.1%
일반주거지역 38
20.0%
준주거지역 9
 
4.7%
상업지역 7
 
3.7%
일반상업지역 4
 
2.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF224114200700000120070628<NA>3폐업3폐업20110708<NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 40-1번지 지상1층서울특별시 송파구 올림픽로 240 (잠실동,지상1층)<NA>코로도바2011-07-08 13:50:39I2018-08-31 23:59:59.0<NA>208589.363343445455.904053청소년게임제공업유통관련업<NA><NA><NA>27.64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFF224114200700000220070626<NA>1영업/정상13영업중<NA><NA><NA><NA>411-2224<NA><NA>서울특별시 송파구 잠실동 40-1번지 지상1층서울특별시 송파구 올림픽로 240 (잠실동,지상1층)<NA>게임펙토리2020-02-21 09:09:45U2020-02-23 02:40:00.0<NA>208589.363343445455.904053청소년게임제공업유통관련업<NA><NA>타임4, 레이징스톰, 하우스4외18종135.26<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA><NA><NA><NA><NA><NA>
23230000CDFF224114200800000120080117<NA>3폐업3폐업20120806<NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 130-34번지 지층서울특별시 송파구 바람드리길 22 (풍납동)138872풍납게임장2012-08-06 14:34:31I2018-08-31 23:59:59.0<NA>210385.793889448396.700937청소년게임제공업유통관련업<NA>기타<NA>115.42<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
33230000CDFF224114200800000220080324<NA>3폐업3폐업20110914<NA><NA><NA><NA><NA>138832서울특별시 송파구 방이동 142-16번지 2층서울특별시 송파구 백제고분로48길 29 (방이동,2층)<NA>트리플엑스2011-09-14 10:05:11I2018-08-31 23:59:59.0<NA>210211.06786445410.081192청소년게임제공업유통관련업<NA>기타<NA>132.36<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
43230000CDFF224114200800000320080331200812164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 189-9번지서울특별시 송파구 백제고분로7길 32-10 (잠실동)<NA>게임랜드2008-12-08 17:28:43I2018-08-31 23:59:59.0<NA>207222.404796445345.127848청소년게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF224114200800000420080415<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 186 1,2층서울특별시 송파구 백제고분로7길 46 (잠실동,1,2층)<NA>뿅뿅게임랜드2022-11-25 09:13:46U2021-10-31 22:07:00.0<NA>207348.739315445371.801394<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF224114200800000520080417<NA>4취소/말소/만료/정지/중지35직권말소20090518<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 105번지 지층서울특별시 송파구 올림픽로32길 56 (방이동,지층)<NA>에어포스2010-11-17 14:24:42I2018-08-31 23:59:59.0<NA>209852.350642445557.094917청소년게임제공업유통관련업<NA>기타<NA>148.15<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
73230000CDFF224114200800000620080422<NA>4취소/말소/만료/정지/중지35직권말소20130104<NA><NA><NA>400-7942<NA><NA>서울특별시 송파구 가락동 79-4번지 101호서울특별시 송파구 송파대로28길 20, 101호 (가락동)<NA>에어포스게임장2013-01-04 14:26:21I2018-08-31 23:59:59.0<NA>210562.90085443555.864703청소년게임제공업유통관련업<NA>기타<NA>297.76<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
83230000CDFF224114200800000720080425<NA>3폐업3폐업20120601<NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 19-9번지 지층서울특별시 송파구 마천로7길 7 (오금동,지층)<NA>명랑게임장2012-06-01 11:28:43I2018-08-31 23:59:59.0<NA>211236.681355445188.22472청소년게임제공업유통관련업<NA>기타<NA>148.33<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
93230000CDFF224114200800000820080429<NA>3폐업3폐업20080610<NA><NA><NA><NA><NA>138848서울특별시 송파구 송파동 19-4번지 지층서울특별시 송파구 백제고분로 377 (송파동,지층)<NA>아쿠아마린2008-07-22 15:06:23I2018-08-31 23:59:59.0<NA>209435.776588444853.577903청소년게임제공업유통관련업<NA>기타<NA>147.25<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
1803230000CDFF224114201800000520180918<NA>3폐업3폐업20191120<NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 42번지서울특별시 송파구 거마로8길 6, 2층 (거여동)5768월드게임랜드2019-11-21 19:26:58U2019-11-23 02:40:00.0<NA>212804.781651443613.225219청소년게임제공업유통관련업5주택가주변날씨좋네110.341근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>39<NA>전체이용가<NA><NA><NA>주거지역
1813230000CDFF224114201800000620181024<NA>3폐업3폐업20200409<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 643-1번지 엠스테이트서울특별시 송파구 법원로 114, 엠스테이트 B동 123호 (문정동)5854어니언2020-04-10 15:44:06U2020-04-12 02:40:00.0<NA>210558.0442587.0청소년게임제공업유통관련업19기타스마일토이,러부푸시,멘토스, 짬짬이노래연습기50.89145근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA><NA>
1823230000CDFF224114201800000720181108<NA>3폐업3폐업20220204<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 190서울특별시 송파구 오금로46길 36, 1층 5호 (가락동)5783뽀바방2022-02-04 12:57:17U2022-02-06 02:40:00.0<NA>211753.703474443623.792977청소년게임제공업유통관련업4주택가주변토이즈팝23.031근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA>주거지역
1833230000CDFF224114201900000120190108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 18-8번지 103호서울특별시 송파구 중대로23길 21, 103호 (가락동)5702뽑기 1번가2019-01-08 15:47:23I2019-01-10 02:20:44.0<NA>211017.218736444471.409921청소년게임제공업유통관련업7기타<NA>34.061근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA>주거지역
1843230000CDFF224114201900000220190228<NA>3폐업3폐업20200219<NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 29-8번지 금성빌딩서울특별시 송파구 백제고분로22길 6, 금성빌딩 1층 (삼전동)5581캐치 미2020-02-19 17:56:28U2020-02-21 02:40:00.0<NA>207809.182927444578.593998청소년게임제공업유통관련업<NA><NA>토이즈팝,곰탱이33.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA>준주거지역
1853230000CDFF224114201900000320190618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 78-1번지 한화오벨리스크서울특별시 송파구 중대로 127, 한화오벨리스크 105호 (가락동)5717고고오락실2019-06-18 17:23:34I2019-06-20 02:21:15.0<NA>210712.567041443631.302105청소년게임제공업유통관련업<NA>유흥업소밀집지역철권6 BR 외 11종(총14대)30.64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14<NA>전체이용가<NA><NA><NA>상업지역
1863230000CDFF224114201900000420191011<NA>3폐업3폐업20210428<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 644 문정현대지식산업센터1-1서울특별시 송파구 법원로11길 11, 문정현대지식산업센터1-1 1층 137호 (문정동)5836뽑기몬고2021-04-29 10:35:53U2021-05-01 02:40:00.0<NA>210398.0442553.0청소년게임제공업유통관련업<NA><NA><NA>29.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
1873230000CDFF224114201900000520191224<NA>3폐업3폐업20210421<NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 129-73 동일빌딩서울특별시 송파구 마천로 254, 동일빌딩 2층 201호 (거여동)5735망고게임랜드2021-04-21 14:00:42U2021-04-23 02:40:00.0<NA>212768.639965444059.087176청소년게임제공업유통관련업<NA><NA>날씨좋네173.49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>39<NA>전체이용가<NA><NA><NA><NA>
1883230000CDFF224114202000000120200316<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 331-14번지서울특별시 송파구 백제고분로18길 15, 1층 (잠실동)5577됐다됐다 뽑기샵2020-03-16 14:00:04I2020-03-18 00:23:29.0<NA>207405.868718444618.018449청소년게임제공업유통관련업<NA><NA><NA>16.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
1893230000CDFF22411420210000012021-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 180-2 성지빌딩서울특별시 송파구 백제고분로7길 23, 성지빌딩 1층 (잠실동)5557인형뽀끼2023-02-17 11:13:39U2022-12-01 23:09:00.0<NA>207129.271568445400.76627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>