Overview

Dataset statistics

Number of variables56
Number of observations406
Missing cells11478
Missing cells (%)50.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory192.8 KiB
Average record size in memory486.3 B

Variable types

Categorical14
Text6
Numeric11
Unsupported23
DateTime2

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16814/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (60.7%)Imbalance
영업상태명 is highly imbalanced (60.7%)Imbalance
상세영업상태코드 is highly imbalanced (68.3%)Imbalance
상세영업상태명 is highly imbalanced (68.3%)Imbalance
도로명우편번호 is highly imbalanced (93.5%)Imbalance
데이터갱신구분 is highly imbalanced (95.5%)Imbalance
문화체육업종명 is highly imbalanced (88.9%)Imbalance
주변환경명 is highly imbalanced (70.6%)Imbalance
건물용도명 is highly imbalanced (65.6%)Imbalance
조명시설조도 is highly imbalanced (88.9%)Imbalance
제공게임물명 is highly imbalanced (86.5%)Imbalance
지역구분명 is highly imbalanced (74.1%)Imbalance
인허가취소일자 has 389 (95.8%) missing valuesMissing
폐업일자 has 28 (6.9%) missing valuesMissing
휴업시작일자 has 406 (100.0%) missing valuesMissing
휴업종료일자 has 406 (100.0%) missing valuesMissing
재개업일자 has 406 (100.0%) missing valuesMissing
전화번호 has 293 (72.2%) missing valuesMissing
소재지면적 has 406 (100.0%) missing valuesMissing
소재지우편번호 has 19 (4.7%) missing valuesMissing
도로명주소 has 21 (5.2%) missing valuesMissing
업태구분명 has 406 (100.0%) missing valuesMissing
좌표정보(X) has 21 (5.2%) missing valuesMissing
좌표정보(Y) has 21 (5.2%) missing valuesMissing
총층수 has 154 (37.9%) missing valuesMissing
제작취급품목내용 has 401 (98.8%) missing valuesMissing
시설면적 has 88 (21.7%) missing valuesMissing
지상층수 has 153 (37.7%) missing valuesMissing
지하층수 has 162 (39.9%) missing valuesMissing
통로너비 has 406 (100.0%) missing valuesMissing
노래방실수 has 406 (100.0%) missing valuesMissing
청소년실수 has 406 (100.0%) missing valuesMissing
비상계단여부 has 406 (100.0%) missing valuesMissing
비상구여부 has 406 (100.0%) missing valuesMissing
자동환기여부 has 406 (100.0%) missing valuesMissing
청소년실여부 has 406 (100.0%) missing valuesMissing
특수조명여부 has 406 (100.0%) missing valuesMissing
방음시설여부 has 406 (100.0%) missing valuesMissing
비디오재생기명 has 406 (100.0%) missing valuesMissing
조명시설유무 has 406 (100.0%) missing valuesMissing
음향시설여부 has 406 (100.0%) missing valuesMissing
편의시설여부 has 406 (100.0%) missing valuesMissing
소방시설여부 has 406 (100.0%) missing valuesMissing
총게임기수 has 390 (96.1%) missing valuesMissing
기존게임업외업종명 has 406 (100.0%) missing valuesMissing
공연장형태구분명 has 406 (100.0%) missing valuesMissing
품목명 has 406 (100.0%) missing valuesMissing
최초등록시점 has 406 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 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
총층수 has 91 (22.4%) zerosZeros
시설면적 has 124 (30.5%) zerosZeros
지상층수 has 91 (22.4%) zerosZeros
지하층수 has 91 (22.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:15:06.583473
Analysis finished2024-05-11 06:15:07.617492
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3220000
406 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 406
100.0%

Length

2024-05-11T15:15:07.719130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:07.893233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 406
100.0%

관리번호
Text

UNIQUE 

Distinct406
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:15:08.163567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8120
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

Unique406 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011985000001
2nd rowCDFF2241011985000002
3rd rowCDFF2241011985000003
4th rowCDFF2241011986000001
5th rowCDFF2241011986000002
ValueCountFrequency (%)
cdff2241011985000001 1
 
0.2%
cdff2241012004000032 1
 
0.2%
cdff2241012004000042 1
 
0.2%
cdff2241012004000041 1
 
0.2%
cdff2241012004000040 1
 
0.2%
cdff2241012004000039 1
 
0.2%
cdff2241012004000038 1
 
0.2%
cdff2241012004000037 1
 
0.2%
cdff2241012004000036 1
 
0.2%
cdff2241012004000035 1
 
0.2%
Other values (396) 396
97.5%
2024-05-11T15:15:08.647773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2899
35.7%
2 1328
16.4%
1 1084
 
13.3%
F 812
 
10.0%
4 540
 
6.7%
C 406
 
5.0%
D 406
 
5.0%
9 141
 
1.7%
5 139
 
1.7%
3 125
 
1.5%
Other values (3) 240
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6496
80.0%
Uppercase Letter 1624
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2899
44.6%
2 1328
20.4%
1 1084
 
16.7%
4 540
 
8.3%
9 141
 
2.2%
5 139
 
2.1%
3 125
 
1.9%
6 105
 
1.6%
8 74
 
1.1%
7 61
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 812
50.0%
C 406
25.0%
D 406
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6496
80.0%
Latin 1624
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2899
44.6%
2 1328
20.4%
1 1084
 
16.7%
4 540
 
8.3%
9 141
 
2.2%
5 139
 
2.1%
3 125
 
1.9%
6 105
 
1.6%
8 74
 
1.1%
7 61
 
0.9%
Latin
ValueCountFrequency (%)
F 812
50.0%
C 406
25.0%
D 406
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2899
35.7%
2 1328
16.4%
1 1084
 
13.3%
F 812
 
10.0%
4 540
 
6.7%
C 406
 
5.0%
D 406
 
5.0%
9 141
 
1.7%
5 139
 
1.7%
3 125
 
1.5%
Other values (3) 240
 
3.0%

인허가일자
Real number (ℝ)

Distinct312
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20020402
Minimum19850604
Maximum20200928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:08.932153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850604
5-th percentile19890834
Q120011214
median20021222
Q320050506
95-th percentile20060695
Maximum20200928
Range350324
Interquartile range (IQR)39292.75

Descriptive statistics

Standard deviation47012.068
Coefficient of variation (CV)0.0023482079
Kurtosis5.0119673
Mean20020402
Median Absolute Deviation (MAD)19990
Skewness-1.4888618
Sum8.1282834 × 109
Variance2.2101345 × 109
MonotonicityNot monotonic
2024-05-11T15:15:09.155960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20011224 42
 
10.3%
20011220 11
 
2.7%
20011212 4
 
1.0%
20011221 4
 
1.0%
20051031 4
 
1.0%
20051108 3
 
0.7%
19991118 3
 
0.7%
20040812 3
 
0.7%
20021001 3
 
0.7%
20060321 3
 
0.7%
Other values (302) 326
80.3%
ValueCountFrequency (%)
19850604 1
0.2%
19850626 1
0.2%
19851223 1
0.2%
19860222 1
0.2%
19860415 1
0.2%
19860501 1
0.2%
19860707 1
0.2%
19860911 1
0.2%
19861010 1
0.2%
19870114 2
0.5%
ValueCountFrequency (%)
20200928 1
0.2%
20171220 1
0.2%
20170622 1
0.2%
20161121 1
0.2%
20131125 1
0.2%
20120927 1
0.2%
20070309 1
0.2%
20070216 1
0.2%
20070126 2
0.5%
20061214 1
0.2%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)88.2%
Missing389
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean20080059
Minimum20030324
Maximum20181001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:09.329841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030324
5-th percentile20054393
Q120070222
median20070420
Q320071023
95-th percentile20173183
Maximum20181001
Range150677
Interquartile range (IQR)801

Descriptive statistics

Standard deviation37668.912
Coefficient of variation (CV)0.0018759363
Kurtosis4.4572438
Mean20080059
Median Absolute Deviation (MAD)508
Skewness2.1729118
Sum3.41361 × 108
Variance1.4189469 × 109
MonotonicityNot monotonic
2024-05-11T15:15:09.489870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20070420 2
 
0.5%
20070322 2
 
0.5%
20061215 1
 
0.2%
20030324 1
 
0.2%
20070712 1
 
0.2%
20070115 1
 
0.2%
20071023 1
 
0.2%
20060410 1
 
0.2%
20070806 1
 
0.2%
20080306 1
 
0.2%
Other values (5) 5
 
1.2%
(Missing) 389
95.8%
ValueCountFrequency (%)
20030324 1
0.2%
20060410 1
0.2%
20061215 1
0.2%
20070115 1
0.2%
20070222 1
0.2%
20070322 2
0.5%
20070420 2
0.5%
20070712 1
0.2%
20070806 1
0.2%
20070928 1
0.2%
ValueCountFrequency (%)
20181001 1
0.2%
20171229 1
0.2%
20080306 1
0.2%
20071228 1
0.2%
20071023 1
0.2%
20070928 1
0.2%
20070806 1
0.2%
20070712 1
0.2%
20070420 2
0.5%
20070322 2
0.5%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
348 
4
56 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 348
85.7%
4 56
 
13.8%
1 2
 
0.5%

Length

2024-05-11T15:15:09.668221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:09.835442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 348
85.7%
4 56
 
13.8%
1 2
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
348 
취소/말소/만료/정지/중지
56 
영업/정상
 
2

Length

Max length14
Median length2
Mean length3.6699507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 348
85.7%
취소/말소/만료/정지/중지 56
 
13.8%
영업/정상 2
 
0.5%

Length

2024-05-11T15:15:10.017633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:10.192148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 348
85.7%
취소/말소/만료/정지/중지 56
 
13.8%
영업/정상 2
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
03
348 
35
 
32
30
 
15
31
 
9
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0049261
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row03
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 348
85.7%
35 32
 
7.9%
30 15
 
3.7%
31 9
 
2.2%
BBBB 1
 
0.2%
13 1
 
0.2%

Length

2024-05-11T15:15:10.419039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:10.594600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 348
85.7%
35 32
 
7.9%
30 15
 
3.7%
31 9
 
2.2%
bbbb 1
 
0.2%
13 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
348 
직권말소
 
32
허가취소
 
15
등록취소
 
9
<NA>
 
1

Length

Max length4
Median length2
Mean length2.2832512
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 348
85.7%
직권말소 32
 
7.9%
허가취소 15
 
3.7%
등록취소 9
 
2.2%
<NA> 1
 
0.2%
영업중 1
 
0.2%

Length

2024-05-11T15:15:11.107174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:11.311643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 348
85.7%
직권말소 32
 
7.9%
허가취소 15
 
3.7%
등록취소 9
 
2.2%
na 1
 
0.2%
영업중 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)69.8%
Missing28
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean20044532
Minimum19990726
Maximum20200903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:11.551283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990726
5-th percentile20000716
Q120020219
median20051020
Q320061215
95-th percentile20080825
Maximum20200903
Range210177
Interquartile range (IQR)40996

Descriptive statistics

Standard deviation29110.216
Coefficient of variation (CV)0.0014522772
Kurtosis1.6804012
Mean20044532
Median Absolute Deviation (MAD)20101.5
Skewness0.31347793
Sum7.576833 × 109
Variance8.4740467 × 108
MonotonicityNot monotonic
2024-05-11T15:15:11.793846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061215 42
 
10.3%
20080825 30
 
7.4%
20080519 4
 
1.0%
20071122 3
 
0.7%
20010621 3
 
0.7%
20070410 3
 
0.7%
20010718 3
 
0.7%
20020513 3
 
0.7%
20060407 3
 
0.7%
20060829 2
 
0.5%
Other values (254) 282
69.5%
(Missing) 28
 
6.9%
ValueCountFrequency (%)
19990726 1
0.2%
19990806 1
0.2%
19990824 1
0.2%
19990831 1
0.2%
19990915 1
0.2%
19990929 1
0.2%
19991115 1
0.2%
19991127 1
0.2%
19991206 1
0.2%
19991218 1
0.2%
ValueCountFrequency (%)
20200903 1
 
0.2%
20170914 1
 
0.2%
20121206 1
 
0.2%
20080825 30
7.4%
20080610 1
 
0.2%
20080603 1
 
0.2%
20080602 1
 
0.2%
20080526 1
 
0.2%
20080520 1
 
0.2%
20080519 4
 
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

전화번호
Text

MISSING 

Distinct110
Distinct (%)97.3%
Missing293
Missing (%)72.2%
Memory size3.3 KiB
2024-05-11T15:15:12.225373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.902655
Min length8

Characters and Unicode

Total characters1232
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)94.7%

Sample

1st row02-540-3401
2nd row02-6002-6260
3rd row02-542-5755
4th row02-549-5877
5th row542-7177
ValueCountFrequency (%)
02-546-3436 2
 
1.8%
02-546-2020 2
 
1.8%
554-1446 2
 
1.8%
02-3443-2610 1
 
0.9%
02-518-3377 1
 
0.9%
558-6493 1
 
0.9%
02-518-0611 1
 
0.9%
02-556-8420 1
 
0.9%
02-565-6999 1
 
0.9%
02-562-0058 1
 
0.9%
Other values (100) 100
88.5%
2024-05-11T15:15:12.903926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 203
16.5%
2 170
13.8%
0 167
13.6%
5 158
12.8%
4 106
8.6%
1 93
7.5%
6 75
 
6.1%
3 73
 
5.9%
8 71
 
5.8%
7 63
 
5.1%
Other values (2) 53
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
82.7%
Dash Punctuation 203
 
16.5%
Other Punctuation 10
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 170
16.7%
0 167
16.4%
5 158
15.5%
4 106
10.4%
1 93
9.1%
6 75
7.4%
3 73
7.2%
8 71
7.0%
7 63
 
6.2%
9 43
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 203
16.5%
2 170
13.8%
0 167
13.6%
5 158
12.8%
4 106
8.6%
1 93
7.5%
6 75
 
6.1%
3 73
 
5.9%
8 71
 
5.8%
7 63
 
5.1%
Other values (2) 53
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 203
16.5%
2 170
13.8%
0 167
13.6%
5 158
12.8%
4 106
8.6%
1 93
7.5%
6 75
 
6.1%
3 73
 
5.9%
8 71
 
5.8%
7 63
 
5.1%
Other values (2) 53
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)28.4%
Missing19
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean135829.05
Minimum135010
Maximum135999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:13.265658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135010
5-th percentile135501
Q1135825
median135887
Q3135922
95-th percentile135954
Maximum135999
Range989
Interquartile range (IQR)97

Descriptive statistics

Standard deviation167.39675
Coefficient of variation (CV)0.0012324076
Kurtosis7.0578521
Mean135829.05
Median Absolute Deviation (MAD)47
Skewness-2.5513846
Sum52565844
Variance28021.673
MonotonicityNot monotonic
2024-05-11T15:15:13.558578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135897 16
 
3.9%
135825 13
 
3.2%
135545 10
 
2.5%
135887 9
 
2.2%
135513 9
 
2.2%
135831 9
 
2.2%
135915 9
 
2.2%
135501 9
 
2.2%
135957 9
 
2.2%
135928 8
 
2.0%
Other values (100) 286
70.4%
(Missing) 19
 
4.7%
ValueCountFrequency (%)
135010 2
 
0.5%
135080 1
 
0.2%
135090 2
 
0.5%
135120 1
 
0.2%
135190 1
 
0.2%
135210 1
 
0.2%
135230 1
 
0.2%
135270 1
 
0.2%
135500 3
 
0.7%
135501 9
2.2%
ValueCountFrequency (%)
135999 1
 
0.2%
135998 1
 
0.2%
135997 2
 
0.5%
135996 1
 
0.2%
135994 1
 
0.2%
135964 1
 
0.2%
135957 9
2.2%
135955 1
 
0.2%
135954 5
1.2%
135953 1
 
0.2%

지번주소
Text

Distinct388
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:15:14.045493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length27.140394
Min length20

Characters and Unicode

Total characters11019
Distinct characters127
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

Unique371 ?
Unique (%)91.4%

Sample

1st row서울특별시 강남구 대치동 936-31번지
2nd row서울특별시 강남구 신사동 574-3번지
3rd row서울특별시 강남구 개포동 186-7번지 지하1층
4th row서울특별시 강남구 대치동 623번지 지하
5th row서울특별시 강남구 신사동 511-9번지
ValueCountFrequency (%)
서울특별시 406
20.0%
강남구 406
20.0%
역삼동 128
 
6.3%
지하1층 102
 
5.0%
논현동 93
 
4.6%
지상1층 60
 
3.0%
신사동 51
 
2.5%
1층 49
 
2.4%
대치동 38
 
1.9%
삼성동 32
 
1.6%
Other values (462) 660
32.6%
2024-05-11T15:15:14.762437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2023
18.4%
지 651
 
5.9%
1 616
 
5.6%
동 411
 
3.7%
서 409
 
3.7%
남 408
 
3.7%
시 407
 
3.7%
강 407
 
3.7%
특 406
 
3.7%
별 406
 
3.7%
Other values (117) 4875
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6339
57.5%
Decimal Number 2179
 
19.8%
Space Separator 2023
 
18.4%
Dash Punctuation 389
 
3.5%
Other Punctuation 25
 
0.2%
Open Punctuation 23
 
0.2%
Close Punctuation 22
 
0.2%
Uppercase Letter 18
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 651
 
10.3%
동 411
 
6.5%
서 409
 
6.5%
남 408
 
6.4%
시 407
 
6.4%
강 407
 
6.4%
특 406
 
6.4%
별 406
 
6.4%
구 406
 
6.4%
울 406
 
6.4%
Other values (93) 2022
31.9%
Decimal Number
ValueCountFrequency (%)
1 616
28.3%
2 293
13.4%
6 209
 
9.6%
5 174
 
8.0%
3 170
 
7.8%
0 158
 
7.3%
7 152
 
7.0%
8 140
 
6.4%
4 138
 
6.3%
9 129
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 11
61.1%
D 5
27.8%
T 1
 
5.6%
F 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 18
72.0%
/ 6
 
24.0%
@ 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 22
95.7%
[ 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 21
95.5%
] 1
 
4.5%
Space Separator
ValueCountFrequency (%)
2023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 389
100.0%
Lowercase Letter
ValueCountFrequency (%)
v 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6339
57.5%
Common 4661
42.3%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 651
 
10.3%
동 411
 
6.5%
서 409
 
6.5%
남 408
 
6.4%
시 407
 
6.4%
강 407
 
6.4%
특 406
 
6.4%
별 406
 
6.4%
구 406
 
6.4%
울 406
 
6.4%
Other values (93) 2022
31.9%
Common
ValueCountFrequency (%)
2023
43.4%
1 616
 
13.2%
- 389
 
8.3%
2 293
 
6.3%
6 209
 
4.5%
5 174
 
3.7%
3 170
 
3.6%
0 158
 
3.4%
7 152
 
3.3%
8 140
 
3.0%
Other values (9) 337
 
7.2%
Latin
ValueCountFrequency (%)
B 11
57.9%
D 5
26.3%
T 1
 
5.3%
F 1
 
5.3%
v 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6339
57.5%
ASCII 4680
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2023
43.2%
1 616
 
13.2%
- 389
 
8.3%
2 293
 
6.3%
6 209
 
4.5%
5 174
 
3.7%
3 170
 
3.6%
0 158
 
3.4%
7 152
 
3.2%
8 140
 
3.0%
Other values (14) 356
 
7.6%
Hangul
ValueCountFrequency (%)
지 651
 
10.3%
동 411
 
6.5%
서 409
 
6.5%
남 408
 
6.4%
시 407
 
6.4%
강 407
 
6.4%
특 406
 
6.4%
별 406
 
6.4%
구 406
 
6.4%
울 406
 
6.4%
Other values (93) 2022
31.9%

도로명주소
Text

MISSING 

Distinct367
Distinct (%)95.3%
Missing21
Missing (%)5.2%
Memory size3.3 KiB
2024-05-11T15:15:15.252070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length30.506494
Min length24

Characters and Unicode

Total characters11745
Distinct characters143
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

Unique350 ?
Unique (%)90.9%

Sample

1st row서울특별시 강남구 선릉로 310 (대치동)
2nd row서울특별시 강남구 압구정로 150 (신사동)
3rd row서울특별시 강남구 개포로82길 13-17 (개포동,지하1층)
4th row서울특별시 강남구 남부순환로 2921 (대치동,지하)
5th row서울특별시 강남구 강남대로156길 24 (신사동)
ValueCountFrequency (%)
서울특별시 385
 
19.3%
강남구 385
 
19.3%
논현로 33
 
1.7%
봉은사로 32
 
1.6%
강남대로 30
 
1.5%
역삼동,지하1층 27
 
1.4%
역삼동 22
 
1.1%
역삼동,지상1층 21
 
1.1%
도산대로 20
 
1.0%
논현동,지하1층 20
 
1.0%
Other values (500) 1016
51.0%
2024-05-11T15:15:16.105507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1984
 
16.9%
1 543
 
4.6%
남 446
 
3.8%
강 440
 
3.7%
동 416
 
3.5%
( 406
 
3.5%
) 405
 
3.4%
구 403
 
3.4%
로 390
 
3.3%
서 388
 
3.3%
Other values (133) 5924
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6820
58.1%
Space Separator 1984
 
16.9%
Decimal Number 1746
 
14.9%
Open Punctuation 407
 
3.5%
Close Punctuation 406
 
3.5%
Other Punctuation 351
 
3.0%
Uppercase Letter 18
 
0.2%
Dash Punctuation 11
 
0.1%
Modifier Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 446
 
6.5%
강 440
 
6.5%
동 416
 
6.1%
구 403
 
5.9%
로 390
 
5.7%
서 388
 
5.7%
시 386
 
5.7%
울 385
 
5.6%
특 385
 
5.6%
별 385
 
5.6%
Other values (108) 2796
41.0%
Decimal Number
ValueCountFrequency (%)
1 543
31.1%
2 247
14.1%
5 170
 
9.7%
3 146
 
8.4%
6 130
 
7.4%
4 125
 
7.2%
0 113
 
6.5%
8 98
 
5.6%
9 90
 
5.2%
7 84
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 11
61.1%
D 5
27.8%
F 1
 
5.6%
T 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 344
98.0%
/ 6
 
1.7%
@ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 406
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 405
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1984
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
v 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6820
58.1%
Common 4906
41.8%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 446
 
6.5%
강 440
 
6.5%
동 416
 
6.1%
구 403
 
5.9%
로 390
 
5.7%
서 388
 
5.7%
시 386
 
5.7%
울 385
 
5.6%
특 385
 
5.6%
별 385
 
5.6%
Other values (108) 2796
41.0%
Common
ValueCountFrequency (%)
1984
40.4%
1 543
 
11.1%
( 406
 
8.3%
) 405
 
8.3%
, 344
 
7.0%
2 247
 
5.0%
5 170
 
3.5%
3 146
 
3.0%
6 130
 
2.6%
4 125
 
2.5%
Other values (10) 406
 
8.3%
Latin
ValueCountFrequency (%)
B 11
57.9%
D 5
26.3%
F 1
 
5.3%
v 1
 
5.3%
T 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6820
58.1%
ASCII 4925
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1984
40.3%
1 543
 
11.0%
( 406
 
8.2%
) 405
 
8.2%
, 344
 
7.0%
2 247
 
5.0%
5 170
 
3.5%
3 146
 
3.0%
6 130
 
2.6%
4 125
 
2.5%
Other values (15) 425
 
8.6%
Hangul
ValueCountFrequency (%)
남 446
 
6.5%
강 440
 
6.5%
동 416
 
6.1%
구 403
 
5.9%
로 390
 
5.7%
서 388
 
5.7%
시 386
 
5.7%
울 385
 
5.6%
특 385
 
5.6%
별 385
 
5.6%
Other values (108) 2796
41.0%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
400 
6114
 
4
135878
 
1
6159
 
1

Length

Max length6
Median length4
Mean length4.0049261
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 400
98.5%
6114 4
 
1.0%
135878 1
 
0.2%
6159 1
 
0.2%

Length

2024-05-11T15:15:16.386287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:16.604755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 400
98.5%
6114 4
 
1.0%
135878 1
 
0.2%
6159 1
 
0.2%

사업장명
Text

Distinct360
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T15:15:17.082477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.6576355
Min length2

Characters and Unicode

Total characters2297
Distinct characters292
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)80.8%

Sample

1st row제일
2nd row신사
3rd row남강
4th row남서울
5th row영동
ValueCountFrequency (%)
게임랜드 31
 
6.4%
일반게임장 17
 
3.5%
게임장 8
 
1.7%
삼성게임장 6
 
1.2%
오락실 6
 
1.2%
게임월드 5
 
1.0%
게임천국 5
 
1.0%
강남 4
 
0.8%
스타오락실 3
 
0.6%
로얄게임랜드 3
 
0.6%
Other values (360) 396
81.8%
2024-05-11T15:15:17.966920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 220
 
9.6%
게 219
 
9.5%
드 127
 
5.5%
랜 106
 
4.6%
78
 
3.4%
장 75
 
3.3%
오 74
 
3.2%
실 66
 
2.9%
락 65
 
2.8%
스 65
 
2.8%
Other values (282) 1202
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2142
93.3%
Space Separator 78
 
3.4%
Uppercase Letter 34
 
1.5%
Decimal Number 19
 
0.8%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%
Other Punctuation 4
 
0.2%
Lowercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 220
 
10.3%
게 219
 
10.2%
드 127
 
5.9%
랜 106
 
4.9%
장 75
 
3.5%
오 74
 
3.5%
실 66
 
3.1%
락 65
 
3.0%
스 65
 
3.0%
이 35
 
1.6%
Other values (255) 1090
50.9%
Uppercase Letter
ValueCountFrequency (%)
M 6
17.6%
K 4
11.8%
O 4
11.8%
G 4
11.8%
D 4
11.8%
S 3
8.8%
E 2
 
5.9%
J 1
 
2.9%
A 1
 
2.9%
Y 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
2 7
36.8%
0 4
21.1%
7 3
15.8%
1 3
15.8%
3 2
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
k 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2142
93.3%
Common 117
 
5.1%
Latin 38
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 220
 
10.3%
게 219
 
10.2%
드 127
 
5.9%
랜 106
 
4.9%
장 75
 
3.5%
오 74
 
3.5%
실 66
 
3.1%
락 65
 
3.0%
스 65
 
3.0%
이 35
 
1.6%
Other values (255) 1090
50.9%
Latin
ValueCountFrequency (%)
M 6
15.8%
K 4
10.5%
O 4
10.5%
G 4
10.5%
D 4
10.5%
S 3
 
7.9%
E 2
 
5.3%
J 1
 
2.6%
A 1
 
2.6%
Y 1
 
2.6%
Other values (8) 8
21.1%
Common
ValueCountFrequency (%)
78
66.7%
) 8
 
6.8%
( 8
 
6.8%
2 7
 
6.0%
. 4
 
3.4%
0 4
 
3.4%
7 3
 
2.6%
1 3
 
2.6%
3 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2142
93.3%
ASCII 154
 
6.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 220
 
10.3%
게 219
 
10.2%
드 127
 
5.9%
랜 106
 
4.9%
장 75
 
3.5%
오 74
 
3.5%
실 66
 
3.1%
락 65
 
3.0%
스 65
 
3.0%
이 35
 
1.6%
Other values (255) 1090
50.9%
ASCII
ValueCountFrequency (%)
78
50.6%
) 8
 
5.2%
( 8
 
5.2%
2 7
 
4.5%
M 6
 
3.9%
K 4
 
2.6%
O 4
 
2.6%
G 4
 
2.6%
D 4
 
2.6%
. 4
 
2.6%
Other values (16) 27
 
17.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct283
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2003-02-08 13:54:58
Maximum2020-09-28 22:05:14
2024-05-11T15:15:18.296438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:18.612280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
404 
U
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 404
99.5%
U 2
 
0.5%

Length

2024-05-11T15:15:18.865096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:19.084335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 404
99.5%
u 2
 
0.5%

데이터갱신일자
Date

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2020-09-30 00:23:11
2024-05-11T15:15:19.257911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:19.457175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct310
Distinct (%)80.5%
Missing21
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean203520.41
Minimum201653.21
Maximum210409.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:19.751943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201653.21
5-th percentile201902.05
Q1202502.38
median203262.26
Q3204330.87
95-th percentile205597.3
Maximum210409.44
Range8756.2367
Interquartile range (IQR)1828.4924

Descriptive statistics

Standard deviation1373.8987
Coefficient of variation (CV)0.0067506681
Kurtosis3.7903312
Mean203520.41
Median Absolute Deviation (MAD)836.5302
Skewness1.5291675
Sum78355357
Variance1887597.7
MonotonicityNot monotonic
2024-05-11T15:15:20.150522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201942.737405801 4
 
1.0%
204521.216088637 4
 
1.0%
204330.870291344 3
 
0.7%
203221.940996323 3
 
0.7%
202142.900193042 3
 
0.7%
201978.302305104 3
 
0.7%
202556.030346964 3
 
0.7%
203363.513613446 3
 
0.7%
202847.79751228 3
 
0.7%
205969.3237202 3
 
0.7%
Other values (300) 353
86.9%
(Missing) 21
 
5.2%
ValueCountFrequency (%)
201653.207482566 1
0.2%
201657.313312924 1
0.2%
201658.416590861 1
0.2%
201664.929814711 1
0.2%
201666.745077104 1
0.2%
201677.925882649 1
0.2%
201715.020704835 1
0.2%
201724.754920521 1
0.2%
201733.702293954 1
0.2%
201758.189261096 1
0.2%
ValueCountFrequency (%)
210409.444142629 1
0.2%
209423.649311203 1
0.2%
209131.888045738 1
0.2%
209052.072465426 2
0.5%
207496.601273685 1
0.2%
207401.08 1
0.2%
207366.245350019 1
0.2%
207365.635 1
0.2%
207330.570831961 1
0.2%
207263.915 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct310
Distinct (%)80.5%
Missing21
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean445033
Minimum440208.56
Maximum447511.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:20.473209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440208.56
5-th percentile443115.13
Q1444110.44
median444874.51
Q3446014.51
95-th percentile447124.73
Maximum447511.32
Range7302.7659
Interquartile range (IQR)1904.0713

Descriptive statistics

Standard deviation1244.5852
Coefficient of variation (CV)0.0027966133
Kurtosis-0.023448686
Mean445033
Median Absolute Deviation (MAD)880.46908
Skewness-0.081312236
Sum1.713377 × 108
Variance1548992.3
MonotonicityNot monotonic
2024-05-11T15:15:20.791545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445200.466349612 4
 
1.0%
443940.569385358 4
 
1.0%
446883.020354601 3
 
0.7%
447193.644528914 3
 
0.7%
444753.67593473 3
 
0.7%
445117.888699555 3
 
0.7%
444838.827148537 3
 
0.7%
443936.458896383 3
 
0.7%
443115.129646286 3
 
0.7%
444018.581768126 3
 
0.7%
Other values (300) 353
86.9%
(Missing) 21
 
5.2%
ValueCountFrequency (%)
440208.558412381 1
0.2%
440903.881896451 1
0.2%
441675.495465839 1
0.2%
442191.586619594 1
0.2%
442263.129858609 1
0.2%
442288.179649012 1
0.2%
442591.957740187 1
0.2%
442739.40431529 1
0.2%
442797.138150563 2
0.5%
442797.361773867 1
0.2%
ValueCountFrequency (%)
447511.324362 1
 
0.2%
447393.51192286 1
 
0.2%
447334.651098516 2
0.5%
447323.737268385 1
 
0.2%
447257.10283752 1
 
0.2%
447256.058730404 1
 
0.2%
447247.739548289 3
0.7%
447246.481933065 2
0.5%
447231.009843882 1
 
0.2%
447218.05070357 1
 
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
게임제공업
400 
일반게임제공업
 
6

Length

Max length7
Median length5
Mean length5.0295567
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 400
98.5%
일반게임제공업 6
 
1.5%

Length

2024-05-11T15:15:21.102650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:21.280109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 400
98.5%
일반게임제공업 6
 
1.5%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
유통관련업
406 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 406
100.0%

Length

2024-05-11T15:15:21.468793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:21.681349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 406
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)7.1%
Missing154
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean3.7936508
Minimum0
Maximum22
Zeros91
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:21.865295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36
95-th percentile10
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.0095851
Coefficient of variation (CV)1.0569199
Kurtosis3.7435902
Mean3.7936508
Median Absolute Deviation (MAD)3
Skewness1.5213825
Sum956
Variance16.076772
MonotonicityNot monotonic
2024-05-11T15:15:22.176119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 91
22.4%
5 34
 
8.4%
4 26
 
6.4%
6 24
 
5.9%
3 17
 
4.2%
7 13
 
3.2%
2 12
 
3.0%
8 10
 
2.5%
10 6
 
1.5%
9 5
 
1.2%
Other values (8) 14
 
3.4%
(Missing) 154
37.9%
ValueCountFrequency (%)
0 91
22.4%
1 2
 
0.5%
2 12
 
3.0%
3 17
 
4.2%
4 26
 
6.4%
5 34
 
8.4%
6 24
 
5.9%
7 13
 
3.2%
8 10
 
2.5%
9 5
 
1.2%
ValueCountFrequency (%)
22 1
 
0.2%
20 2
 
0.5%
19 2
 
0.5%
14 1
 
0.2%
13 2
 
0.5%
12 1
 
0.2%
11 3
 
0.7%
10 6
1.5%
9 5
1.2%
8 10
2.5%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
355 
기타
 
20
유흥업소밀집지역
 
11
주택가주변
 
10
학교정화(절대)
 
5
Other values (2)
 
5

Length

Max length8
Median length4
Mean length4.1182266
Min length2

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> 355
87.4%
기타 20
 
4.9%
유흥업소밀집지역 11
 
2.7%
주택가주변 10
 
2.5%
학교정화(절대) 5
 
1.2%
학교정화(상대) 3
 
0.7%
아파트지역 2
 
0.5%

Length

2024-05-11T15:15:22.587852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:22.956507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 355
87.4%
기타 20
 
4.9%
유흥업소밀집지역 11
 
2.7%
주택가주변 10
 
2.5%
학교정화(절대 5
 
1.2%
학교정화(상대 3
 
0.7%
아파트지역 2
 
0.5%

제작취급품목내용
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing401
Missing (%)98.8%
Memory size3.3 KiB
2024-05-11T15:15:23.294173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length24
Mean length30.6
Min length5

Characters and Unicode

Total characters153
Distinct characters66
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

Unique5 ?
Unique (%)100.0%

Sample

1st row황금포커성
2nd row등급분류번호제CC-NA-121012-001호
3rd row라이온킹,자뻑포카, 화룡(총200대)
4th row청소년 이용불가 아케이드게임(화룡성, K랜드, 그랜드캐슬, 로얄고도리2)
5th row인왕30대, 파이브드래곤 30대, 로얄고도리2-2대,포카플러스 2대, 자뻑 포카 40대,라이온킹 40대, 화룡40대
ValueCountFrequency (%)
황금포커성 1
 
5.0%
등급분류번호제cc-na-121012-001호 1
 
5.0%
40대 1
 
5.0%
40대,라이온킹 1
 
5.0%
포카 1
 
5.0%
자뻑 1
 
5.0%
2대 1
 
5.0%
로얄고도리2-2대,포카플러스 1
 
5.0%
30대 1
 
5.0%
파이브드래곤 1
 
5.0%
Other values (10) 10
50.0%
2024-05-11T15:15:24.099545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
9.8%
, 11
 
7.2%
0 10
 
6.5%
대 8
 
5.2%
2 7
 
4.6%
이 5
 
3.3%
- 4
 
2.6%
포 4
 
2.6%
1 4
 
2.6%
드 4
 
2.6%
Other values (56) 81
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
57.5%
Decimal Number 26
 
17.0%
Space Separator 15
 
9.8%
Other Punctuation 11
 
7.2%
Uppercase Letter 5
 
3.3%
Dash Punctuation 4
 
2.6%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 8
 
9.1%
이 5
 
5.7%
포 4
 
4.5%
드 4
 
4.5%
카 3
 
3.4%
화 3
 
3.4%
룡 3
 
3.4%
자 2
 
2.3%
랜 2
 
2.3%
로 2
 
2.3%
Other values (42) 52
59.1%
Decimal Number
ValueCountFrequency (%)
0 10
38.5%
2 7
26.9%
1 4
 
15.4%
4 3
 
11.5%
3 2
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
K 1
20.0%
A 1
20.0%
N 1
20.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88
57.5%
Common 60
39.2%
Latin 5
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 8
 
9.1%
이 5
 
5.7%
포 4
 
4.5%
드 4
 
4.5%
카 3
 
3.4%
화 3
 
3.4%
룡 3
 
3.4%
자 2
 
2.3%
랜 2
 
2.3%
로 2
 
2.3%
Other values (42) 52
59.1%
Common
ValueCountFrequency (%)
15
25.0%
, 11
18.3%
0 10
16.7%
2 7
11.7%
- 4
 
6.7%
1 4
 
6.7%
4 3
 
5.0%
3 2
 
3.3%
( 2
 
3.3%
) 2
 
3.3%
Latin
ValueCountFrequency (%)
C 2
40.0%
K 1
20.0%
A 1
20.0%
N 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88
57.5%
ASCII 65
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
23.1%
, 11
16.9%
0 10
15.4%
2 7
10.8%
- 4
 
6.2%
1 4
 
6.2%
4 3
 
4.6%
3 2
 
3.1%
( 2
 
3.1%
) 2
 
3.1%
Other values (4) 5
 
7.7%
Hangul
ValueCountFrequency (%)
대 8
 
9.1%
이 5
 
5.7%
포 4
 
4.5%
드 4
 
4.5%
카 3
 
3.4%
화 3
 
3.4%
룡 3
 
3.4%
자 2
 
2.3%
랜 2
 
2.3%
로 2
 
2.3%
Other values (42) 52
59.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct178
Distinct (%)56.0%
Missing88
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean127.87557
Minimum0
Maximum791.42
Zeros124
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:24.858916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119.465
Q3194.7075
95-th percentile392.6795
Maximum791.42
Range791.42
Interquartile range (IQR)194.7075

Descriptive statistics

Standard deviation137.93896
Coefficient of variation (CV)1.0786968
Kurtosis1.85168
Mean127.87557
Median Absolute Deviation (MAD)119.465
Skewness1.224167
Sum40664.43
Variance19027.157
MonotonicityNot monotonic
2024-05-11T15:15:25.176092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 124
30.5%
92.4 3
 
0.7%
141.0 2
 
0.5%
125.0 2
 
0.5%
184.57 2
 
0.5%
136.3 2
 
0.5%
225.99 2
 
0.5%
96.0 2
 
0.5%
188.82 2
 
0.5%
306.3 2
 
0.5%
Other values (168) 175
43.1%
(Missing) 88
21.7%
ValueCountFrequency (%)
0.0 124
30.5%
27.3 1
 
0.2%
42.21 1
 
0.2%
44.59 1
 
0.2%
50.0 1
 
0.2%
51.3 1
 
0.2%
59.4 1
 
0.2%
66.0 1
 
0.2%
76.99 1
 
0.2%
88.15 1
 
0.2%
ValueCountFrequency (%)
791.42 1
0.2%
654.09 1
0.2%
533.09 1
0.2%
496.62 1
0.2%
495.0 1
0.2%
485.31 1
0.2%
474.6 1
0.2%
467.07 1
0.2%
458.85 1
0.2%
447.47 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)7.1%
Missing153
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean3.541502
Minimum0
Maximum22
Zeros91
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:25.473215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile10
Maximum22
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.8332372
Coefficient of variation (CV)1.0823761
Kurtosis4.3808635
Mean3.541502
Median Absolute Deviation (MAD)3
Skewness1.6291932
Sum896
Variance14.693707
MonotonicityNot monotonic
2024-05-11T15:15:25.681394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 91
22.4%
4 31
 
7.6%
5 30
 
7.4%
3 21
 
5.2%
6 20
 
4.9%
8 12
 
3.0%
2 12
 
3.0%
7 10
 
2.5%
1 7
 
1.7%
10 6
 
1.5%
Other values (8) 13
 
3.2%
(Missing) 153
37.7%
ValueCountFrequency (%)
0 91
22.4%
1 7
 
1.7%
2 12
 
3.0%
3 21
 
5.2%
4 31
 
7.6%
5 30
 
7.4%
6 20
 
4.9%
7 10
 
2.5%
8 12
 
3.0%
9 3
 
0.7%
ValueCountFrequency (%)
22 1
 
0.2%
20 2
 
0.5%
19 1
 
0.2%
14 1
 
0.2%
13 2
 
0.5%
12 1
 
0.2%
11 2
 
0.5%
10 6
1.5%
9 3
 
0.7%
8 12
3.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.9%
Missing162
Missing (%)39.9%
Infinite0
Infinite (%)0.0%
Mean1.0696721
Minimum0
Maximum6
Zeros91
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:25.897120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2235945
Coefficient of variation (CV)1.1438967
Kurtosis2.9870976
Mean1.0696721
Median Absolute Deviation (MAD)1
Skewness1.6327326
Sum261
Variance1.4971834
MonotonicityNot monotonic
2024-05-11T15:15:26.089134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 94
23.2%
0 91
22.4%
2 33
 
8.1%
3 12
 
3.0%
4 7
 
1.7%
5 5
 
1.2%
6 2
 
0.5%
(Missing) 162
39.9%
ValueCountFrequency (%)
0 91
22.4%
1 94
23.2%
2 33
 
8.1%
3 12
 
3.0%
4 7
 
1.7%
5 5
 
1.2%
6 2
 
0.5%
ValueCountFrequency (%)
6 2
 
0.5%
5 5
 
1.2%
4 7
 
1.7%
3 12
 
3.0%
2 33
 
8.1%
1 94
23.2%
0 91
22.4%

건물용도명
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
근린생활시설
244 
<NA>
154 
호텔
 
1
여인숙
 
1
유통시설
 
1
Other values (5)
 
5

Length

Max length6
Median length6
Mean length5.1896552
Min length2

Unique

Unique8 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 244
60.1%
<NA> 154
37.9%
호텔 1
 
0.2%
여인숙 1
 
0.2%
유통시설 1
 
0.2%
기타 1
 
0.2%
식품위생시설 1
 
0.2%
사무실 1
 
0.2%
유기장 1
 
0.2%
판매시설 1
 
0.2%

Length

2024-05-11T15:15:26.383054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:26.710980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 244
60.1%
na 154
37.9%
호텔 1
 
0.2%
여인숙 1
 
0.2%
유통시설 1
 
0.2%
기타 1
 
0.2%
식품위생시설 1
 
0.2%
사무실 1
 
0.2%
유기장 1
 
0.2%
판매시설 1
 
0.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
400 
40
 
6

Length

Max length4
Median length4
Mean length3.9704433
Min length2

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> 400
98.5%
40 6
 
1.5%

Length

2024-05-11T15:15:27.091006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:27.330374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 400
98.5%
40 6
 
1.5%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing390
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean38.375
Minimum18
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T15:15:27.530804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile20.25
Q129.25
median37
Q344.25
95-th percentile66.5
Maximum68
Range50
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.080128
Coefficient of variation (CV)0.36690887
Kurtosis0.54677008
Mean38.375
Median Absolute Deviation (MAD)7.5
Skewness0.83936305
Sum614
Variance198.25
MonotonicityNot monotonic
2024-05-11T15:15:27.757790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
40 2
 
0.5%
33 2
 
0.5%
49 1
 
0.2%
66 1
 
0.2%
35 1
 
0.2%
26 1
 
0.2%
44 1
 
0.2%
30 1
 
0.2%
21 1
 
0.2%
68 1
 
0.2%
Other values (4) 4
 
1.0%
(Missing) 390
96.1%
ValueCountFrequency (%)
18 1
0.2%
21 1
0.2%
26 1
0.2%
27 1
0.2%
30 1
0.2%
33 2
0.5%
35 1
0.2%
39 1
0.2%
40 2
0.5%
44 1
0.2%
ValueCountFrequency (%)
68 1
0.2%
66 1
0.2%
49 1
0.2%
45 1
0.2%
44 1
0.2%
40 2
0.5%
39 1
0.2%
35 1
0.2%
33 2
0.5%
30 1
0.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
392 
청소년이용불가
 
6
전체이용가
 
4
전체이용가 및 청소년이용불가
 
4

Length

Max length15
Median length4
Mean length4.1625616
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> 392
96.6%
청소년이용불가 6
 
1.5%
전체이용가 4
 
1.0%
전체이용가 및 청소년이용불가 4
 
1.0%

Length

2024-05-11T15:15:28.024780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:28.244521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 392
94.7%
청소년이용불가 10
 
2.4%
전체이용가 8
 
1.9%
및 4
 
1.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing406
Missing (%)100.0%
Memory size3.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
363 
근린상업지역
 
23
일반주거지역
 
10
일반상업지역
 
7
상업지역
 
2

Length

Max length6
Median length4
Mean length4.1995074
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 363
89.4%
근린상업지역 23
 
5.7%
일반주거지역 10
 
2.5%
일반상업지역 7
 
1.7%
상업지역 2
 
0.5%
준주거지역 1
 
0.2%

Length

2024-05-11T15:15:28.606015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:29.016308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
89.4%
근린상업지역 23
 
5.7%
일반주거지역 10
 
2.5%
일반상업지역 7
 
1.7%
상업지역 2
 
0.5%
준주거지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF224101198500000119850604<NA>3폐업03폐업20001227<NA><NA><NA><NA><NA>135998서울특별시 강남구 대치동 936-31번지서울특별시 강남구 선릉로 310 (대치동)<NA>제일2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>204614.134399443913.778238게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF224101198500000219850626<NA>3폐업03폐업20001030<NA><NA><NA><NA><NA>135891서울특별시 강남구 신사동 574-3번지서울특별시 강남구 압구정로 150 (신사동)<NA>신사2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>202170.122389447011.644779게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF224101198500000319851223<NA>3폐업03폐업19991206<NA><NA><NA><NA><NA>135994서울특별시 강남구 개포동 186-7번지 지하1층서울특별시 강남구 개포로82길 13-17 (개포동,지하1층)<NA>남강2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>205996.639125442966.118103게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF224101198600000119860222<NA>3폐업03폐업19990726<NA><NA><NA><NA><NA>135838서울특별시 강남구 대치동 623번지 지하서울특별시 강남구 남부순환로 2921 (대치동,지하)<NA>남서울2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>205209.747123443490.817333게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFF224101198600000219860415<NA>3폐업03폐업20000308<NA><NA><NA><NA><NA>135887서울특별시 강남구 신사동 511-9번지서울특별시 강남구 강남대로156길 24 (신사동)<NA>영동2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>201794.362782446236.359601게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFF224101198600000319860501<NA>3폐업03폐업20010621<NA><NA><NA><NA><NA>135925서울특별시 강남구 역삼동 751-18번지 2층서울특별시 강남구 역삼로 135 (역삼동,2층)<NA>역삼2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>202969.804275443592.513813게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF224101198600000419860707<NA>3폐업03폐업20000307<NA><NA><NA><NA><NA>135927서울특별시 강남구 역삼동 757번지 영동@상가 9호서울특별시 강남구 선릉로69길 19, 9호 (역삼동,영동@상가)<NA>강남2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>204355.979016443924.280688게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF224101198600000519860911<NA>3폐업03폐업19990929<NA><NA><NA><NA><NA>135932서울특별시 강남구 역삼동 818-8번지서울특별시 강남구 강남대로94길 21 (역삼동)<NA>영동2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>202491.248721444170.949038게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF224101198600000619861010<NA>3폐업03폐업19991127<NA><NA><NA><NA><NA>135949서울특별시 강남구 청담동 9-11번지서울특별시 강남구 학동로77길 48 (청담동)<NA>스타2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>204179.611143446624.511911게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFF224101198700000119870114<NA>3폐업03폐업20001218<NA><NA><NA><NA><NA>135913서울특별시 강남구 역삼동 651-1번지서울특별시 강남구 봉은사로 210 (역삼동)<NA>경복2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>203055.429941445021.864528게임제공업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3963220000CDFF224101200700000120070126200709284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>135936서울특별시 강남구 역삼동 831-26번지 지상 1층서울특별시 강남구 강남대로78길 16 (역삼동,지상 1층)<NA>하나게임2008-03-31 18:16:49I2018-08-31 23:59:59.0<NA>202646.225166443641.036684게임제공업유통관련업4기타<NA>217.141<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45<NA>전체이용가<NA><NA><NA>일반상업지역
3973220000CDFF224101200700000220070126<NA>3폐업03폐업20070126<NA><NA><NA><NA><NA>135936서울특별시 강남구 역삼동 831-26번지 지상1층서울특별시 강남구 강남대로78길 16 (역삼동,지상1층)<NA>하나게임2007-04-13 13:55:25I2018-08-31 23:59:59.0<NA>202646.225166443641.036684게임제공업유통관련업4기타<NA>217.141<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
3983220000CDFF224101200700000320070216<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>135922서울특별시 강남구 역삼동 705-22번지 지상1층서울특별시 강남구 선릉로 511 (역삼동,지상1층)<NA>삼성게임장2008-02-19 14:35:09I2018-08-31 23:59:59.0<NA>204199.598156444765.882602게임제공업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가 및 청소년이용불가<NA><NA><NA>상업지역
3993220000CDFF224101200700000420070309<NA>3폐업03폐업20080128<NA><NA><NA><NA><NA>135931서울특별시 강남구 역삼동 815-4번지 만이빌딩 2-203호서울특별시 강남구 강남대로 428 (역삼동,만이빌딩 2-203호)<NA>얼짱 강남 2호점2008-02-19 14:30:46I2018-08-31 23:59:59.0<NA>202292.352706444285.071455게임제공업유통관련업<NA>학교정화(상대)<NA><NA>2<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
4003220000CDFF224113201200000120120927<NA>3폐업03폐업20121206<NA><NA><NA>02-6053-9821<NA><NA>서울특별시 강남구 삼성동 143-19번지 지하1층서울특별시 강남구 테헤란로 69-10 (삼성동, 지하`1층)135878삼성게임장2012-12-06 09:30:56I2018-08-31 23:59:59.0<NA>204596.86151444933.736881일반게임제공업유통관련업<NA><NA>황금포커성115.98<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
4013220000CDFF224113201300000120131125201712294취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 143번지서울특별시 강남구 강남대로 532 (논현동)6114강남게임랜드2018-01-08 10:40:16I2018-08-31 23:59:59.0<NA>201915.919299445260.710117일반게임제공업유통관련업<NA><NA>등급분류번호제CC-NA-121012-001호145.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
4023220000CDFF224113201600000120161121<NA>3폐업03폐업20200903<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 143-15서울특별시 강남구 강남대로 524 (논현동, 건일빌딩)6114뉴스타게임랜드2020-09-04 09:38:04U2020-09-06 02:40:00.0<NA>201942.737406445200.46635일반게임제공업유통관련업<NA><NA>라이온킹,자뻑포카, 화룡(총200대)392.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
4033220000CDFF224113201700000120170622<NA>3폐업03폐업20170914<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 143번지서울특별시 강남구 강남대로 532, 지하1층 (논현동, 신성빌딩)6114팡팡게임장2017-09-14 13:30:18I2018-08-31 23:59:59.0<NA>201915.919299445260.710117일반게임제공업유통관련업<NA><NA>청소년 이용불가 아케이드게임(화룡성, K랜드, 그랜드캐슬, 로얄고도리2)145.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
4043220000CDFF224113201700000220171220201810014취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 143-11번지서울특별시 강남구 테헤란로77길 11-8, 지하1층 (삼성동)6159아지트 GAME2018-10-02 09:58:35U2018-10-04 02:35:48.0<NA>204690.550492444994.384231일반게임제공업유통관련업<NA><NA><NA>224.64<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>일반상업지역
4053220000CDFF224113202000000120200928<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 143-15 건일빌딩서울특별시 강남구 강남대로 524, 건일빌딩 지하1층 (논현동)6114영동 게임랜드2020-09-28 22:05:14I2020-09-30 00:23:11.0<NA>201942.737406445200.46635일반게임제공업유통관련업<NA><NA>인왕30대, 파이브드래곤 30대, 로얄고도리2-2대,포카플러스 2대, 자뻑 포카 40대,라이온킹 40대, 화룡40대391.67<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>