Overview

Dataset statistics

Number of variables60
Number of observations2076
Missing cells63840
Missing cells (%)51.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory522.1 B

Variable types

Numeric17
Categorical12
Text6
Unsupported24
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123038

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 is highly imbalanced (57.4%)Imbalance
건물용도명 is highly imbalanced (65.5%)Imbalance
제공게임물명 is highly imbalanced (70.5%)Imbalance
지역구분명 is highly imbalanced (57.1%)Imbalance
인허가취소일자 has 1588 (76.5%) missing valuesMissing
폐업일자 has 823 (39.6%) missing valuesMissing
휴업시작일자 has 2076 (100.0%) missing valuesMissing
휴업종료일자 has 2076 (100.0%) missing valuesMissing
재개업일자 has 2076 (100.0%) missing valuesMissing
소재지전화 has 1957 (94.3%) missing valuesMissing
소재지면적 has 2076 (100.0%) missing valuesMissing
소재지우편번호 has 1993 (96.0%) missing valuesMissing
도로명전체주소 has 96 (4.6%) missing valuesMissing
도로명우편번호 has 712 (34.3%) missing valuesMissing
업태구분명 has 2076 (100.0%) missing valuesMissing
총층수 has 1128 (54.3%) missing valuesMissing
제작취급품목내용 has 654 (31.5%) missing valuesMissing
지상층수 has 746 (35.9%) missing valuesMissing
지하층수 has 1496 (72.1%) missing valuesMissing
통로너비 has 2076 (100.0%) missing valuesMissing
조명시설조도 has 1877 (90.4%) missing valuesMissing
노래방실수 has 2076 (100.0%) missing valuesMissing
청소년실수 has 2076 (100.0%) missing valuesMissing
비상계단여부 has 2076 (100.0%) missing valuesMissing
비상구여부 has 2076 (100.0%) missing valuesMissing
자동환기여부 has 2076 (100.0%) missing valuesMissing
청소년실여부 has 2076 (100.0%) missing valuesMissing
특수조명여부 has 2076 (100.0%) missing valuesMissing
방음시설여부 has 2076 (100.0%) missing valuesMissing
비디오재생기명 has 2076 (100.0%) missing valuesMissing
조명시설유무 has 2076 (100.0%) missing valuesMissing
음향시설여부 has 2076 (100.0%) missing valuesMissing
편의시설여부 has 2076 (100.0%) missing valuesMissing
소방시설여부 has 2076 (100.0%) missing valuesMissing
총게임기수 has 929 (44.7%) missing valuesMissing
기존게임업외업종명 has 2076 (100.0%) missing valuesMissing
공연장형태구분명 has 2076 (100.0%) missing valuesMissing
품목명 has 2076 (100.0%) missing valuesMissing
최초등록시점 has 2076 (100.0%) missing valuesMissing
Unnamed: 59 has 2076 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 44.1196704)Skewed
번호 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
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 has 33 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-18 02:19:39.423287
Analysis finished2024-04-18 02:19:40.571411
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2076
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1038.5
Minimum1
Maximum2076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:40.629236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile104.75
Q1519.75
median1038.5
Q31557.25
95-th percentile1972.25
Maximum2076
Range2075
Interquartile range (IQR)1037.5

Descriptive statistics

Standard deviation599.4339
Coefficient of variation (CV)0.57721127
Kurtosis-1.2
Mean1038.5
Median Absolute Deviation (MAD)519
Skewness0
Sum2155926
Variance359321
MonotonicityStrictly increasing
2024-04-18T11:19:40.739084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1365 1
 
< 0.1%
1395 1
 
< 0.1%
1394 1
 
< 0.1%
1393 1
 
< 0.1%
1392 1
 
< 0.1%
1391 1
 
< 0.1%
1390 1
 
< 0.1%
1389 1
 
< 0.1%
1388 1
 
< 0.1%
Other values (2066) 2066
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2076 1
< 0.1%
2075 1
< 0.1%
2074 1
< 0.1%
2073 1
< 0.1%
2072 1
< 0.1%
2071 1
< 0.1%
2070 1
< 0.1%
2069 1
< 0.1%
2068 1
< 0.1%
2067 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
청소년게임제공업
2076 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 2076
100.0%

Length

2024-04-18T11:19:40.835544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:40.923989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 2076
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
03_05_07_P
2076 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_07_P
2nd row03_05_07_P
3rd row03_05_07_P
4th row03_05_07_P
5th row03_05_07_P

Common Values

ValueCountFrequency (%)
03_05_07_P 2076
100.0%

Length

2024-04-18T11:19:41.001830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:41.075344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_07_p 2076
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3323795.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:41.146511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation44856.34
Coefficient of variation (CV)0.013495516
Kurtosis-0.99738257
Mean3323795.8
Median Absolute Deviation (MAD)30000
Skewness-0.040708218
Sum6.9002 × 109
Variance2.0120913 × 109
MonotonicityNot monotonic
2024-04-18T11:19:41.243819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3250000 264
12.7%
3290000 227
10.9%
3390000 223
10.7%
3300000 203
9.8%
3330000 175
8.4%
3340000 169
8.1%
3350000 142
6.8%
3370000 137
6.6%
3310000 135
6.5%
3320000 134
6.5%
Other values (6) 267
12.9%
ValueCountFrequency (%)
3250000 264
12.7%
3260000 18
 
0.9%
3270000 43
 
2.1%
3280000 31
 
1.5%
3290000 227
10.9%
3300000 203
9.8%
3310000 135
6.5%
3320000 134
6.5%
3330000 175
8.4%
3340000 169
8.1%
ValueCountFrequency (%)
3400000 53
 
2.6%
3390000 223
10.7%
3380000 104
5.0%
3370000 137
6.6%
3360000 18
 
0.9%
3350000 142
6.8%
3340000 169
8.1%
3330000 175
8.4%
3320000 134
6.5%
3310000 135
6.5%

관리번호
Text

Distinct337
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-04-18T11:19:41.407818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters41520
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

Unique67 ?
Unique (%)3.2%

Sample

1st rowCDFF2241142019000006
2nd rowCDFF2241142019000007
3rd rowCDFF2241142017000011
4th rowCDFF2241142017000012
5th rowCDFF2241142017000019
ValueCountFrequency (%)
cdff2241142017000002 16
 
0.8%
cdff2241142017000001 16
 
0.8%
cdff2241142016000001 16
 
0.8%
cdff2241142017000003 15
 
0.7%
cdff2241142009000002 15
 
0.7%
cdff2241142009000001 15
 
0.7%
cdff2241142018000003 15
 
0.7%
cdff2241142018000001 15
 
0.7%
cdff2241142019000001 15
 
0.7%
cdff2241142017000004 15
 
0.7%
Other values (327) 1923
92.6%
2024-04-18T11:19:41.678941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12518
30.1%
2 6894
16.6%
1 6734
16.2%
4 4489
 
10.8%
F 4152
 
10.0%
C 2076
 
5.0%
D 2076
 
5.0%
8 630
 
1.5%
7 498
 
1.2%
9 421
 
1.0%
Other values (3) 1032
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33216
80.0%
Uppercase Letter 8304
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12518
37.7%
2 6894
20.8%
1 6734
20.3%
4 4489
 
13.5%
8 630
 
1.9%
7 498
 
1.5%
9 421
 
1.3%
3 379
 
1.1%
6 328
 
1.0%
5 325
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 4152
50.0%
C 2076
25.0%
D 2076
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33216
80.0%
Latin 8304
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12518
37.7%
2 6894
20.8%
1 6734
20.3%
4 4489
 
13.5%
8 630
 
1.9%
7 498
 
1.5%
9 421
 
1.3%
3 379
 
1.1%
6 328
 
1.0%
5 325
 
1.0%
Latin
ValueCountFrequency (%)
F 4152
50.0%
C 2076
25.0%
D 2076
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12518
30.1%
2 6894
16.6%
1 6734
16.2%
4 4489
 
10.8%
F 4152
 
10.0%
C 2076
 
5.0%
D 2076
 
5.0%
8 630
 
1.5%
7 498
 
1.2%
9 421
 
1.0%
Other values (3) 1032
 
2.5%

인허가일자
Real number (ℝ)

Distinct1276
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20128763
Minimum19870303
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:41.802305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870303
5-th percentile20080513
Q120090403
median20120563
Q320170213
95-th percentile20190503
Maximum20210330
Range340027
Interquartile range (IQR)79810

Descriptive statistics

Standard deviation40910.638
Coefficient of variation (CV)0.0020324467
Kurtosis0.86276475
Mean20128763
Median Absolute Deviation (MAD)39458.5
Skewness-0.22376501
Sum4.1787313 × 1010
Variance1.6736803 × 109
MonotonicityNot monotonic
2024-04-18T11:19:41.925098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080519 14
 
0.7%
20071218 9
 
0.4%
20071116 8
 
0.4%
20170126 8
 
0.4%
20080731 7
 
0.3%
20110311 7
 
0.3%
20090123 7
 
0.3%
20090327 6
 
0.3%
20101224 6
 
0.3%
20090121 6
 
0.3%
Other values (1266) 1998
96.2%
ValueCountFrequency (%)
19870303 1
< 0.1%
19890105 1
< 0.1%
19890309 1
< 0.1%
19900611 1
< 0.1%
20000215 1
< 0.1%
20020110 1
< 0.1%
20020903 1
< 0.1%
20040109 1
< 0.1%
20051018 1
< 0.1%
20070619 1
< 0.1%
ValueCountFrequency (%)
20210330 1
< 0.1%
20210329 1
< 0.1%
20210326 2
0.1%
20210324 1
< 0.1%
20210319 1
< 0.1%
20210318 1
< 0.1%
20210310 1
< 0.1%
20210226 1
< 0.1%
20210115 1
< 0.1%
20210113 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct405
Distinct (%)83.0%
Missing1588
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean20134661
Minimum20080303
Maximum20210216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:42.048571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080303
5-th percentile20090750
Q120110408
median20120628
Q320160722
95-th percentile20191068
Maximum20210216
Range129913
Interquartile range (IQR)50313

Descriptive statistics

Standard deviation33718.904
Coefficient of variation (CV)0.0016746696
Kurtosis-1.1190996
Mean20134661
Median Absolute Deviation (MAD)29503
Skewness0.42437073
Sum9.8257146 × 109
Variance1.1369645 × 109
MonotonicityNot monotonic
2024-04-18T11:19:42.167008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111010 5
 
0.2%
20091125 4
 
0.2%
20160104 4
 
0.2%
20110812 3
 
0.1%
20090629 3
 
0.1%
20151022 3
 
0.1%
20110720 3
 
0.1%
20160609 3
 
0.1%
20110714 3
 
0.1%
20100122 3
 
0.1%
Other values (395) 454
 
21.9%
(Missing) 1588
76.5%
ValueCountFrequency (%)
20080303 1
< 0.1%
20081211 1
< 0.1%
20081215 1
< 0.1%
20090108 1
< 0.1%
20090213 1
< 0.1%
20090301 1
< 0.1%
20090313 1
< 0.1%
20090325 1
< 0.1%
20090326 1
< 0.1%
20090401 1
< 0.1%
ValueCountFrequency (%)
20210216 1
< 0.1%
20210119 1
< 0.1%
20201223 1
< 0.1%
20201110 1
< 0.1%
20201026 1
< 0.1%
20200904 1
< 0.1%
20200804 1
< 0.1%
20200803 2
0.1%
20200721 1
< 0.1%
20200630 1
< 0.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
3
1139 
4
609 
1
328 

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 1139
54.9%
4 609
29.3%
1 328
 
15.8%

Length

2024-04-18T11:19:42.270594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:42.356016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1139
54.9%
4 609
29.3%
1 328
 
15.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
폐업
1139 
취소/말소/만료/정지/중지
609 
영업/정상
328 

Length

Max length14
Median length2
Mean length5.9942197
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1139
54.9%
취소/말소/만료/정지/중지 609
29.3%
영업/정상 328
 
15.8%

Length

2024-04-18T11:19:42.455881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:42.543032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1139
54.9%
취소/말소/만료/정지/중지 609
29.3%
영업/정상 328
 
15.8%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.02842
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:42.619569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q331
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)28

Descriptive statistics

Standard deviation12.60838
Coefficient of variation (CV)0.96775969
Kurtosis-1.2823781
Mean13.02842
Median Absolute Deviation (MAD)0
Skewness0.70938525
Sum27047
Variance158.97124
MonotonicityNot monotonic
2024-04-18T11:19:42.699037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1138
54.8%
31 490
23.6%
13 328
 
15.8%
35 116
 
5.6%
30 2
 
0.1%
25 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
3 1138
54.8%
13 328
 
15.8%
25 1
 
< 0.1%
30 2
 
0.1%
31 490
23.6%
34 1
 
< 0.1%
35 116
 
5.6%
ValueCountFrequency (%)
35 116
 
5.6%
34 1
 
< 0.1%
31 490
23.6%
30 2
 
0.1%
25 1
 
< 0.1%
13 328
 
15.8%
3 1138
54.8%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
폐업
1138 
등록취소
490 
영업중
328 
직권말소
116 
허가취소
 
2
Other values (2)
 
2

Length

Max length5
Median length2
Mean length2.7461464
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1138
54.8%
등록취소 490
23.6%
영업중 328
 
15.8%
직권말소 116
 
5.6%
허가취소 2
 
0.1%
영업정지 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

Length

2024-04-18T11:19:42.816804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:42.912603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1138
54.8%
등록취소 490
23.6%
영업중 328
 
15.8%
직권말소 116
 
5.6%
허가취소 2
 
0.1%
영업정지 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct933
Distinct (%)74.5%
Missing823
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean20136721
Minimum20080218
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:43.030908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080218
5-th percentile20090512
Q120101125
median20130809
Q320170911
95-th percentile20191230
Maximum20210330
Range130112
Interquartile range (IQR)69786

Descriptive statistics

Standard deviation36233.736
Coefficient of variation (CV)0.0017993861
Kurtosis-1.1533873
Mean20136721
Median Absolute Deviation (MAD)30193
Skewness0.29823759
Sum2.5231311 × 1010
Variance1.3128836 × 109
MonotonicityNot monotonic
2024-04-18T11:19:43.156034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100329 15
 
0.7%
20130829 9
 
0.4%
20140321 8
 
0.4%
20100601 6
 
0.3%
20140611 6
 
0.3%
20101028 5
 
0.2%
20130808 4
 
0.2%
20100917 4
 
0.2%
20181219 4
 
0.2%
20120627 4
 
0.2%
Other values (923) 1188
57.2%
(Missing) 823
39.6%
ValueCountFrequency (%)
20080218 1
< 0.1%
20080317 1
< 0.1%
20080328 1
< 0.1%
20080404 1
< 0.1%
20080502 1
< 0.1%
20080508 1
< 0.1%
20080526 1
< 0.1%
20080527 1
< 0.1%
20080603 1
< 0.1%
20080623 1
< 0.1%
ValueCountFrequency (%)
20210330 1
< 0.1%
20210315 1
< 0.1%
20210310 2
0.1%
20210308 1
< 0.1%
20210305 1
< 0.1%
20210303 1
< 0.1%
20210228 1
< 0.1%
20210226 1
< 0.1%
20210225 1
< 0.1%
20210219 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

소재지전화
Text

MISSING 

Distinct118
Distinct (%)99.2%
Missing1957
Missing (%)94.3%
Memory size16.3 KiB
2024-04-18T11:19:43.381550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.5546218
Min length1

Characters and Unicode

Total characters1137
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)98.3%

Sample

1st row051)246-0464
2nd row051)469-5128
3rd row051)559-5501
4th row070-4082-8249
5th row852-3347
ValueCountFrequency (%)
342-3788 2
 
1.7%
528-5892 1
 
0.8%
262-4111 1
 
0.8%
202-3400 1
 
0.8%
051-293-6622 1
 
0.8%
204-7528 1
 
0.8%
202-2467 1
 
0.8%
208-0767 1
 
0.8%
208-6891 1
 
0.8%
051-291-7918 1
 
0.8%
Other values (108) 108
90.8%
2024-04-18T11:19:43.729465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
13.6%
- 154
13.5%
5 134
11.8%
1 125
11.0%
3 99
8.7%
2 97
8.5%
6 86
7.6%
8 82
7.2%
4 76
6.7%
7 74
6.5%
Other values (3) 55
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 975
85.8%
Dash Punctuation 154
 
13.5%
Close Punctuation 7
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
15.9%
5 134
13.7%
1 125
12.8%
3 99
10.2%
2 97
9.9%
6 86
8.8%
8 82
8.4%
4 76
7.8%
7 74
7.6%
9 47
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
13.6%
- 154
13.5%
5 134
11.8%
1 125
11.0%
3 99
8.7%
2 97
8.5%
6 86
7.6%
8 82
7.2%
4 76
6.7%
7 74
6.5%
Other values (3) 55
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
13.6%
- 154
13.5%
5 134
11.8%
1 125
11.0%
3 99
8.7%
2 97
8.5%
6 86
7.6%
8 82
7.2%
4 76
6.7%
7 74
6.5%
Other values (3) 55
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)75.9%
Missing1993
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean609865.77
Minimum600046
Maximum619903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:43.848275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600046
5-th percentile601808
Q1606432
median609834
Q3612847
95-th percentile616847.3
Maximum619903
Range19857
Interquartile range (IQR)6415

Descriptive statistics

Standard deviation4931.2253
Coefficient of variation (CV)0.0080857551
Kurtosis-0.78088012
Mean609865.77
Median Absolute Deviation (MAD)3030
Skewness-0.32472831
Sum50618859
Variance24316983
MonotonicityNot monotonic
2024-04-18T11:19:43.975994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614847 3
 
0.1%
612812 3
 
0.1%
604851 3
 
0.1%
600046 3
 
0.1%
609805 2
 
0.1%
612842 2
 
0.1%
604814 2
 
0.1%
606809 2
 
0.1%
612817 2
 
0.1%
614863 2
 
0.1%
Other values (53) 59
 
2.8%
(Missing) 1993
96.0%
ValueCountFrequency (%)
600046 3
0.1%
600807 1
 
< 0.1%
601808 2
0.1%
601812 2
0.1%
601818 1
 
< 0.1%
601829 1
 
< 0.1%
602819 1
 
< 0.1%
604812 1
 
< 0.1%
604813 2
0.1%
604814 2
0.1%
ValueCountFrequency (%)
619903 1
< 0.1%
617810 1
< 0.1%
617807 1
< 0.1%
617806 1
< 0.1%
616852 1
< 0.1%
616805 1
< 0.1%
614873 1
< 0.1%
614863 2
0.1%
614862 1
< 0.1%
614856 1
< 0.1%

소재지전체주소
Text

Distinct1597
Distinct (%)77.3%
Missing9
Missing (%)0.4%
Memory size16.3 KiB
2024-04-18T11:19:44.225757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length24.564586
Min length12

Characters and Unicode

Total characters50775
Distinct characters325
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1339 ?
Unique (%)64.8%

Sample

1st row부산광역시 중구 남포동6가 74-1번지
2nd row부산광역시 중구 부평동1가 41-2
3rd row부산광역시 중구 부평동2가 45-1번지
4th row부산광역시 중구 남포동6가 74-1번지
5th row부산광역시 중구 남포동5가 88번지
ValueCountFrequency (%)
부산광역시 2067
 
21.7%
중구 264
 
2.8%
부산진구 227
 
2.4%
사상구 224
 
2.4%
동래구 202
 
2.1%
해운대구 175
 
1.8%
사하구 169
 
1.8%
1층 169
 
1.8%
부전동 153
 
1.6%
금정구 141
 
1.5%
Other values (1717) 5723
60.2%
2024-04-18T11:19:44.588072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7473
 
14.7%
부 2559
 
5.0%
1 2544
 
5.0%
산 2442
 
4.8%
지 2346
 
4.6%
동 2303
 
4.5%
광 2142
 
4.2%
구 2133
 
4.2%
역 2091
 
4.1%
시 2088
 
4.1%
Other values (315) 22654
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30008
59.1%
Decimal Number 10606
 
20.9%
Space Separator 7473
 
14.7%
Dash Punctuation 1957
 
3.9%
Close Punctuation 304
 
0.6%
Open Punctuation 304
 
0.6%
Other Punctuation 76
 
0.1%
Uppercase Letter 30
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2559
 
8.5%
산 2442
 
8.1%
지 2346
 
7.8%
동 2303
 
7.7%
광 2142
 
7.1%
구 2133
 
7.1%
역 2091
 
7.0%
시 2088
 
7.0%
번 1941
 
6.5%
층 684
 
2.3%
Other values (275) 9279
30.9%
Lowercase Letter
ValueCountFrequency (%)
w 2
15.4%
a 1
7.7%
d 1
7.7%
n 1
7.7%
c 1
7.7%
e 1
7.7%
i 1
7.7%
f 1
7.7%
l 1
7.7%
o 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 2544
24.0%
2 1692
16.0%
4 1010
 
9.5%
3 979
 
9.2%
5 918
 
8.7%
6 895
 
8.4%
0 800
 
7.5%
7 665
 
6.3%
9 571
 
5.4%
8 532
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
23.3%
K 5
16.7%
S 5
16.7%
A 5
16.7%
H 3
10.0%
Y 3
10.0%
U 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 40
52.6%
: 33
43.4%
. 2
 
2.6%
@ 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
∼ 1
33.3%
Space Separator
ValueCountFrequency (%)
7473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1957
100.0%
Close Punctuation
ValueCountFrequency (%)
) 304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30008
59.1%
Common 20724
40.8%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2559
 
8.5%
산 2442
 
8.1%
지 2346
 
7.8%
동 2303
 
7.7%
광 2142
 
7.1%
구 2133
 
7.1%
역 2091
 
7.0%
시 2088
 
7.0%
번 1941
 
6.5%
층 684
 
2.3%
Other values (275) 9279
30.9%
Common
ValueCountFrequency (%)
7473
36.1%
1 2544
 
12.3%
- 1957
 
9.4%
2 1692
 
8.2%
4 1010
 
4.9%
3 979
 
4.7%
5 918
 
4.4%
6 895
 
4.3%
0 800
 
3.9%
7 665
 
3.2%
Other values (11) 1791
 
8.6%
Latin
ValueCountFrequency (%)
B 7
16.3%
K 5
11.6%
S 5
11.6%
A 5
11.6%
H 3
 
7.0%
Y 3
 
7.0%
w 2
 
4.7%
U 2
 
4.7%
a 1
 
2.3%
d 1
 
2.3%
Other values (9) 9
20.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30008
59.1%
ASCII 20765
40.9%
CJK Compat 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7473
36.0%
1 2544
 
12.3%
- 1957
 
9.4%
2 1692
 
8.1%
4 1010
 
4.9%
3 979
 
4.7%
5 918
 
4.4%
6 895
 
4.3%
0 800
 
3.9%
7 665
 
3.2%
Other values (28) 1832
 
8.8%
Hangul
ValueCountFrequency (%)
부 2559
 
8.5%
산 2442
 
8.1%
지 2346
 
7.8%
동 2303
 
7.7%
광 2142
 
7.1%
구 2133
 
7.1%
역 2091
 
7.0%
시 2088
 
7.0%
번 1941
 
6.5%
층 684
 
2.3%
Other values (275) 9279
30.9%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1620
Distinct (%)81.8%
Missing96
Missing (%)4.6%
Memory size16.3 KiB
2024-04-18T11:19:44.840927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length29.481818
Min length20

Characters and Unicode

Total characters58374
Distinct characters363
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

Unique1385 ?
Unique (%)69.9%

Sample

1st row부산광역시 중구 구덕로 80, 지상2층 (남포동6가)
2nd row부산광역시 중구 광복로12번길 9, 지상2층 (부평동1가)
3rd row부산광역시 중구 보수대로 16-1, 2층 (부평동2가)
4th row부산광역시 중구 구덕로 80, 2층 (남포동6가)
5th row부산광역시 중구 자갈치로37번길 4, 2층 (남포동5가)
ValueCountFrequency (%)
부산광역시 1980
 
17.8%
1층 344
 
3.1%
중구 263
 
2.4%
부산진구 222
 
2.0%
사상구 213
 
1.9%
동래구 202
 
1.8%
해운대구 170
 
1.5%
사하구 166
 
1.5%
금정구 141
 
1.3%
남구 135
 
1.2%
Other values (1542) 7282
65.5%
2024-04-18T11:19:45.235750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9736
 
16.7%
부 2489
 
4.3%
동 2488
 
4.3%
1 2440
 
4.2%
산 2372
 
4.1%
광 2257
 
3.9%
) 2155
 
3.7%
( 2155
 
3.7%
구 2137
 
3.7%
시 2065
 
3.5%
Other values (353) 28080
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34122
58.5%
Space Separator 9736
 
16.7%
Decimal Number 8562
 
14.7%
Close Punctuation 2155
 
3.7%
Open Punctuation 2155
 
3.7%
Other Punctuation 1257
 
2.2%
Dash Punctuation 329
 
0.6%
Uppercase Letter 42
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2489
 
7.3%
동 2488
 
7.3%
산 2372
 
7.0%
광 2257
 
6.6%
구 2137
 
6.3%
시 2065
 
6.1%
역 2004
 
5.9%
로 1964
 
5.8%
층 992
 
2.9%
길 877
 
2.6%
Other values (313) 14477
42.4%
Lowercase Letter
ValueCountFrequency (%)
w 2
15.4%
a 1
7.7%
d 1
7.7%
n 1
7.7%
c 1
7.7%
f 1
7.7%
l 1
7.7%
o 1
7.7%
h 1
7.7%
t 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 2440
28.5%
2 1347
15.7%
4 758
 
8.9%
6 714
 
8.3%
3 696
 
8.1%
0 605
 
7.1%
5 576
 
6.7%
8 536
 
6.3%
7 468
 
5.5%
9 422
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 9
21.4%
B 6
14.3%
K 5
11.9%
S 5
11.9%
I 3
 
7.1%
Y 3
 
7.1%
H 3
 
7.1%
F 3
 
7.1%
L 3
 
7.1%
U 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1243
98.9%
: 13
 
1.0%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9736
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34122
58.5%
Common 24197
41.5%
Latin 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2489
 
7.3%
동 2488
 
7.3%
산 2372
 
7.0%
광 2257
 
6.6%
구 2137
 
6.3%
시 2065
 
6.1%
역 2004
 
5.9%
로 1964
 
5.8%
층 992
 
2.9%
길 877
 
2.6%
Other values (313) 14477
42.4%
Latin
ValueCountFrequency (%)
A 9
16.4%
B 6
10.9%
K 5
 
9.1%
S 5
 
9.1%
I 3
 
5.5%
Y 3
 
5.5%
H 3
 
5.5%
F 3
 
5.5%
L 3
 
5.5%
w 2
 
3.6%
Other values (12) 13
23.6%
Common
ValueCountFrequency (%)
9736
40.2%
1 2440
 
10.1%
) 2155
 
8.9%
( 2155
 
8.9%
2 1347
 
5.6%
, 1243
 
5.1%
4 758
 
3.1%
6 714
 
3.0%
3 696
 
2.9%
0 605
 
2.5%
Other values (8) 2348
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34122
58.5%
ASCII 24252
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9736
40.1%
1 2440
 
10.1%
) 2155
 
8.9%
( 2155
 
8.9%
2 1347
 
5.6%
, 1243
 
5.1%
4 758
 
3.1%
6 714
 
2.9%
3 696
 
2.9%
0 605
 
2.5%
Other values (30) 2403
 
9.9%
Hangul
ValueCountFrequency (%)
부 2489
 
7.3%
동 2488
 
7.3%
산 2372
 
7.0%
광 2257
 
6.6%
구 2137
 
6.3%
시 2065
 
6.1%
역 2004
 
5.9%
로 1964
 
5.8%
층 992
 
2.9%
길 877
 
2.6%
Other values (313) 14477
42.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct478
Distinct (%)35.0%
Missing712
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean231985.07
Minimum46005
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:45.351584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46005
5-th percentile46291
Q147287
median48587
Q3604834.25
95-th percentile616834
Maximum619952
Range573947
Interquartile range (IQR)557547.25

Descriptive statistics

Standard deviation263956.27
Coefficient of variation (CV)1.1378158
Kurtosis-1.4604027
Mean231985.07
Median Absolute Deviation (MAD)1619
Skewness0.73545341
Sum3.1642763 × 108
Variance6.9672912 × 1010
MonotonicityNot monotonic
2024-04-18T11:19:45.456632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48981 65
 
3.1%
600046 54
 
2.6%
48980 34
 
1.6%
46964 27
 
1.3%
47286 23
 
1.1%
46968 21
 
1.0%
608020 19
 
0.9%
48266 18
 
0.9%
617806 16
 
0.8%
614847 16
 
0.8%
Other values (468) 1071
51.6%
(Missing) 712
34.3%
ValueCountFrequency (%)
46005 1
 
< 0.1%
46007 1
 
< 0.1%
46008 1
 
< 0.1%
46012 1
 
< 0.1%
46015 7
0.3%
46023 3
0.1%
46024 3
0.1%
46044 1
 
< 0.1%
46056 1
 
< 0.1%
46061 2
 
0.1%
ValueCountFrequency (%)
619952 1
 
< 0.1%
619903 1
 
< 0.1%
617837 4
0.2%
617833 1
 
< 0.1%
617829 3
0.1%
617822 1
 
< 0.1%
617819 2
0.1%
617816 3
0.1%
617815 4
0.2%
617809 1
 
< 0.1%

사업장명
Text

Distinct1318
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-04-18T11:19:45.676971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length6.6589595
Min length2

Characters and Unicode

Total characters13824
Distinct characters531
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1008 ?
Unique (%)48.6%

Sample

1st row미야 게임랜드
2nd row제네시스 게임랜드
3rd row송골매 게임랜드
4th row시원 게임랜드
5th row왔다 게임랜드
ValueCountFrequency (%)
게임랜드 570
 
19.5%
스타게임랜드 34
 
1.2%
롯데게임랜드 22
 
0.8%
월드게임랜드 20
 
0.7%
삼성게임랜드 19
 
0.7%
게임장 18
 
0.6%
대박게임랜드 17
 
0.6%
인형뽑기 17
 
0.6%
골드게임랜드 16
 
0.5%
뽑기방 16
 
0.5%
Other values (1319) 2169
74.3%
2024-04-18T11:19:46.036904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 1576
 
11.4%
게 1559
 
11.3%
임 1559
 
11.3%
랜 1468
 
10.6%
842
 
6.1%
스 221
 
1.6%
기 220
 
1.6%
뽑 219
 
1.6%
이 156
 
1.1%
장 118
 
0.9%
Other values (521) 5886
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12207
88.3%
Space Separator 842
 
6.1%
Uppercase Letter 532
 
3.8%
Lowercase Letter 102
 
0.7%
Decimal Number 49
 
0.4%
Close Punctuation 30
 
0.2%
Open Punctuation 30
 
0.2%
Other Punctuation 12
 
0.1%
Letter Number 10
 
0.1%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 1576
 
12.9%
게 1559
 
12.8%
임 1559
 
12.8%
랜 1468
 
12.0%
스 221
 
1.8%
기 220
 
1.8%
뽑 219
 
1.8%
이 156
 
1.3%
장 118
 
1.0%
대 110
 
0.9%
Other values (459) 5001
41.0%
Uppercase Letter
ValueCountFrequency (%)
A 50
 
9.4%
M 46
 
8.6%
E 43
 
8.1%
G 39
 
7.3%
O 37
 
7.0%
P 35
 
6.6%
K 30
 
5.6%
N 29
 
5.5%
D 27
 
5.1%
S 21
 
3.9%
Other values (16) 175
32.9%
Lowercase Letter
ValueCountFrequency (%)
n 17
16.7%
u 12
11.8%
s 10
9.8%
e 9
8.8%
o 8
7.8%
h 8
7.8%
a 8
7.8%
y 6
 
5.9%
i 5
 
4.9%
t 5
 
4.9%
Other values (7) 14
13.7%
Decimal Number
ValueCountFrequency (%)
2 20
40.8%
1 14
28.6%
3 4
 
8.2%
8 4
 
8.2%
0 4
 
8.2%
4 2
 
4.1%
7 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 5
41.7%
& 3
25.0%
! 2
 
16.7%
' 1
 
8.3%
# 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
90.0%
Ⅰ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
842
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12204
88.3%
Common 973
 
7.0%
Latin 644
 
4.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 1576
 
12.9%
게 1559
 
12.8%
임 1559
 
12.8%
랜 1468
 
12.0%
스 221
 
1.8%
기 220
 
1.8%
뽑 219
 
1.8%
이 156
 
1.3%
장 118
 
1.0%
대 110
 
0.9%
Other values (457) 4998
41.0%
Latin
ValueCountFrequency (%)
A 50
 
7.8%
M 46
 
7.1%
E 43
 
6.7%
G 39
 
6.1%
O 37
 
5.7%
P 35
 
5.4%
K 30
 
4.7%
N 29
 
4.5%
D 27
 
4.2%
S 21
 
3.3%
Other values (35) 287
44.6%
Common
ValueCountFrequency (%)
842
86.5%
) 30
 
3.1%
( 30
 
3.1%
2 20
 
2.1%
1 14
 
1.4%
- 9
 
0.9%
. 5
 
0.5%
3 4
 
0.4%
8 4
 
0.4%
0 4
 
0.4%
Other values (7) 11
 
1.1%
Han
ValueCountFrequency (%)
天 2
66.7%
水 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12204
88.3%
ASCII 1607
 
11.6%
Number Forms 10
 
0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 1576
 
12.9%
게 1559
 
12.8%
임 1559
 
12.8%
랜 1468
 
12.0%
스 221
 
1.8%
기 220
 
1.8%
뽑 219
 
1.8%
이 156
 
1.3%
장 118
 
1.0%
대 110
 
0.9%
Other values (457) 4998
41.0%
ASCII
ValueCountFrequency (%)
842
52.4%
A 50
 
3.1%
M 46
 
2.9%
E 43
 
2.7%
G 39
 
2.4%
O 37
 
2.3%
P 35
 
2.2%
K 30
 
1.9%
) 30
 
1.9%
( 30
 
1.9%
Other values (50) 425
26.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
90.0%
Ⅰ 1
 
10.0%
CJK
ValueCountFrequency (%)
天 2
66.7%
水 1
33.3%

최종수정시점
Real number (ℝ)

Distinct2075
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144623 × 1013
Minimum2.0080317 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:46.158371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080317 × 1013
5-th percentile2.0090703 × 1013
Q12.0110884 × 1013
median2.0140523 × 1013
Q32.0180717 × 1013
95-th percentile2.0200803 × 1013
Maximum2.021033 × 1013
Range1.3001306 × 1011
Interquartile range (IQR)6.9832963 × 1010

Descriptive statistics

Standard deviation3.7686649 × 1010
Coefficient of variation (CV)0.0018708044
Kurtosis-1.3478771
Mean2.0144623 × 1013
Median Absolute Deviation (MAD)3.0504033 × 1010
Skewness0.068306559
Sum4.1820237 × 1016
Variance1.4202835 × 1021
MonotonicityNot monotonic
2024-04-18T11:19:46.277898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161031124158 2
 
0.1%
20190709145301 1
 
< 0.1%
20200710101323 1
 
< 0.1%
20181030181837 1
 
< 0.1%
20181101153404 1
 
< 0.1%
20210318152902 1
 
< 0.1%
20210330133308 1
 
< 0.1%
20200518092406 1
 
< 0.1%
20210312155846 1
 
< 0.1%
20210312155357 1
 
< 0.1%
Other values (2065) 2065
99.5%
ValueCountFrequency (%)
20080317152236 1
< 0.1%
20080328104547 1
< 0.1%
20080404132308 1
< 0.1%
20080502114137 1
< 0.1%
20080507101826 1
< 0.1%
20080508153229 1
< 0.1%
20080521175816 1
< 0.1%
20080527131413 1
< 0.1%
20080528142313 1
< 0.1%
20080603160740 1
< 0.1%
ValueCountFrequency (%)
20210330212732 1
< 0.1%
20210330133308 1
< 0.1%
20210329180820 1
< 0.1%
20210329124823 1
< 0.1%
20210326163913 1
< 0.1%
20210326100803 1
< 0.1%
20210325163334 1
< 0.1%
20210324095719 1
< 0.1%
20210319163402 1
< 0.1%
20210318152902 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
I
1657 
U
419 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1657
79.8%
U 419
 
20.2%

Length

2024-04-18T11:19:46.382900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:46.463973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1657
79.8%
u 419
 
20.2%

데이터갱신일자
Date

Distinct333
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-01 02:40:00
2024-04-18T11:19:46.571470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:19:46.692143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

좌표정보(x)
Real number (ℝ)

Distinct1209
Distinct (%)58.3%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean387416.23
Minimum369071.6
Maximum407736.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:46.823765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369071.6
5-th percentile379440.71
Q1383050.68
median387525.37
Q3391089.03
95-th percentile397246.25
Maximum407736.73
Range38665.127
Interquartile range (IQR)8038.3536

Descriptive statistics

Standard deviation5419.4929
Coefficient of variation (CV)0.013988812
Kurtosis0.013220852
Mean387416.23
Median Absolute Deviation (MAD)3768.6346
Skewness0.24689842
Sum8.0272643 × 108
Variance29370903
MonotonicityNot monotonic
2024-04-18T11:19:46.945481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384768.319655951 16
 
0.8%
384697.119071054 15
 
0.7%
384664.149882792 15
 
0.7%
389719.695026166 14
 
0.7%
384771.402142749 13
 
0.6%
384709.387003462 11
 
0.5%
387415.377765986 11
 
0.5%
392813.826326522 10
 
0.5%
384701.085428741 10
 
0.5%
381901.570968214 10
 
0.5%
Other values (1199) 1947
93.8%
ValueCountFrequency (%)
369071.601644319 1
< 0.1%
371181.352545926 1
< 0.1%
371224.803887136 1
< 0.1%
371268.326316118 1
< 0.1%
371306.33392421 1
< 0.1%
371347.461027774 1
< 0.1%
371385.405359398 1
< 0.1%
373508.184426628 1
< 0.1%
373567.128867348 1
< 0.1%
373568.211113191 1
< 0.1%
ValueCountFrequency (%)
407736.728677283 2
0.1%
406963.422489117 1
 
< 0.1%
403186.744629224 1
 
< 0.1%
401783.616316966 1
 
< 0.1%
401746.841355307 1
 
< 0.1%
401701.756483606 1
 
< 0.1%
401689.681830399 1
 
< 0.1%
401672.154924514 1
 
< 0.1%
401669.0 2
0.1%
401607.021689001 3
0.1%

좌표정보(y)
Real number (ℝ)

Distinct1209
Distinct (%)58.3%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean186730.22
Minimum173936.75
Maximum206483.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:47.060388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173936.75
5-th percentile179036.74
Q1181844.07
median186880.28
Q3191033.86
95-th percentile194697.5
Maximum206483.75
Range32546.994
Interquartile range (IQR)9189.7968

Descriptive statistics

Standard deviation5534.6509
Coefficient of variation (CV)0.029639823
Kurtosis0.012948712
Mean186730.22
Median Absolute Deviation (MAD)4263.9043
Skewness0.23438565
Sum3.8690502 × 108
Variance30632360
MonotonicityNot monotonic
2024-04-18T11:19:47.168645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179566.176779483 16
 
0.8%
179510.26293209 15
 
0.7%
179582.676484563 15
 
0.7%
189529.091207964 14
 
0.7%
179510.642128481 13
 
0.6%
179612.05593001 11
 
0.5%
185929.781093043 11
 
0.5%
187410.981398455 10
 
0.5%
179594.397383752 10
 
0.5%
191643.944286403 10
 
0.5%
Other values (1199) 1947
93.8%
ValueCountFrequency (%)
173936.752691561 1
< 0.1%
173961.914773076 1
< 0.1%
173994.386578688 2
0.1%
174002.976785704 1
< 0.1%
174676.412428464 2
0.1%
174793.427536922 1
< 0.1%
174848.053190733 2
0.1%
174960.995351469 1
< 0.1%
174968.895403614 2
0.1%
174972.798296858 1
< 0.1%
ValueCountFrequency (%)
206483.746356107 1
< 0.1%
206102.964822493 1
< 0.1%
205995.903772118 1
< 0.1%
205874.417551847 2
0.1%
205417.978411701 1
< 0.1%
205159.486624298 1
< 0.1%
204792.687443932 1
< 0.1%
204760.304165816 1
< 0.1%
204754.247373568 1
< 0.1%
204753.570471018 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
청소년게임제공업
2076 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 2076
100.0%

Length

2024-04-18T11:19:47.270384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:47.351685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 2076
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
유통관련업
2076 

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 2076
100.0%

Length

2024-04-18T11:19:47.429870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:47.505332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 2076
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)2.5%
Missing1128
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean5.1656118
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:47.583543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile11
Maximum54
Range53
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6846379
Coefficient of variation (CV)0.71330135
Kurtosis45.771736
Mean5.1656118
Median Absolute Deviation (MAD)2
Skewness4.6711827
Sum4897
Variance13.576556
MonotonicityNot monotonic
2024-04-18T11:19:47.680519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 201
 
9.7%
4 169
 
8.1%
3 123
 
5.9%
6 101
 
4.9%
2 94
 
4.5%
1 65
 
3.1%
7 51
 
2.5%
9 49
 
2.4%
11 23
 
1.1%
10 22
 
1.1%
Other values (14) 50
 
2.4%
(Missing) 1128
54.3%
ValueCountFrequency (%)
1 65
 
3.1%
2 94
4.5%
3 123
5.9%
4 169
8.1%
5 201
9.7%
6 101
4.9%
7 51
 
2.5%
8 15
 
0.7%
9 49
 
2.4%
10 22
 
1.1%
ValueCountFrequency (%)
54 1
 
< 0.1%
42 1
 
< 0.1%
29 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
18 2
0.1%
17 3
0.1%
15 4
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1569 
기타
263 
유흥업소밀집지역
176 
주택가주변
 
35
학교정화(상대)
 
23
Other values (2)
 
10

Length

Max length8
Median length4
Mean length4.1546243
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> 1569
75.6%
기타 263
 
12.7%
유흥업소밀집지역 176
 
8.5%
주택가주변 35
 
1.7%
학교정화(상대) 23
 
1.1%
아파트지역 8
 
0.4%
학교정화(절대) 2
 
0.1%

Length

2024-04-18T11:19:47.783440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:48.602362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1569
75.6%
기타 263
 
12.7%
유흥업소밀집지역 176
 
8.5%
주택가주변 35
 
1.7%
학교정화(상대 23
 
1.1%
아파트지역 8
 
0.4%
학교정화(절대 2
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct1260
Distinct (%)88.6%
Missing654
Missing (%)31.5%
Memory size16.3 KiB
2024-04-18T11:19:48.823251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length131
Median length101
Mean length17.38256
Min length2

Characters and Unicode

Total characters24718
Distinct characters558
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1168 ?
Unique (%)82.1%

Sample

1st row50대(아수라 25대, 뭐하노 25대)
2nd row54대(더블 위자드 20대, 제네시스2017 20대, 어디GO(고) 14대)
3rd row화신대전
4th row골드해적
5th row화신대전 24대, 코스모제로 16대
ValueCountFrequency (%)
1대 102
 
2.6%
럭셔리 86
 
2.2%
40대 75
 
1.9%
20대 60
 
1.5%
자이언트 49
 
1.2%
외 40
 
1.0%
뉴 38
 
1.0%
자이언츠 33
 
0.8%
스마일 33
 
0.8%
30대 30
 
0.8%
Other values (1943) 3407
86.2%
2024-04-18T11:19:49.196851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2537
 
10.3%
, 1201
 
4.9%
1 974
 
3.9%
) 948
 
3.8%
( 946
 
3.8%
대 938
 
3.8%
0 912
 
3.7%
2 789
 
3.2%
이 749
 
3.0%
스 602
 
2.4%
Other values (548) 14122
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13871
56.1%
Decimal Number 3892
 
15.7%
Space Separator 2537
 
10.3%
Other Punctuation 1259
 
5.1%
Close Punctuation 951
 
3.8%
Open Punctuation 949
 
3.8%
Uppercase Letter 673
 
2.7%
Lowercase Letter 378
 
1.5%
Dash Punctuation 197
 
0.8%
Letter Number 6
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 938
 
6.8%
이 749
 
5.4%
스 602
 
4.3%
트 351
 
2.5%
리 347
 
2.5%
마 245
 
1.8%
드 239
 
1.7%
토 227
 
1.6%
자 225
 
1.6%
언 210
 
1.5%
Other values (473) 9738
70.2%
Uppercase Letter
ValueCountFrequency (%)
C 103
15.3%
A 90
13.4%
N 72
10.7%
S 43
 
6.4%
E 39
 
5.8%
O 35
 
5.2%
T 35
 
5.2%
R 35
 
5.2%
P 32
 
4.8%
I 23
 
3.4%
Other values (15) 166
24.7%
Lowercase Letter
ValueCountFrequency (%)
a 49
13.0%
e 43
11.4%
c 38
 
10.1%
n 31
 
8.2%
o 29
 
7.7%
i 24
 
6.3%
r 18
 
4.8%
s 17
 
4.5%
t 15
 
4.0%
h 14
 
3.7%
Other values (13) 100
26.5%
Decimal Number
ValueCountFrequency (%)
1 974
25.0%
0 912
23.4%
2 789
20.3%
3 297
 
7.6%
4 279
 
7.2%
5 272
 
7.0%
6 111
 
2.9%
9 98
 
2.5%
8 91
 
2.3%
7 69
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 1201
95.4%
. 45
 
3.6%
: 8
 
0.6%
/ 2
 
0.2%
' 2
 
0.2%
; 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 948
99.7%
] 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 946
99.7%
[ 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
2537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13871
56.1%
Common 9790
39.6%
Latin 1057
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 938
 
6.8%
이 749
 
5.4%
스 602
 
4.3%
트 351
 
2.5%
리 347
 
2.5%
마 245
 
1.8%
드 239
 
1.7%
토 227
 
1.6%
자 225
 
1.6%
언 210
 
1.5%
Other values (473) 9738
70.2%
Latin
ValueCountFrequency (%)
C 103
 
9.7%
A 90
 
8.5%
N 72
 
6.8%
a 49
 
4.6%
S 43
 
4.1%
e 43
 
4.1%
E 39
 
3.7%
c 38
 
3.6%
O 35
 
3.3%
T 35
 
3.3%
Other values (39) 510
48.2%
Common
ValueCountFrequency (%)
2537
25.9%
, 1201
12.3%
1 974
 
9.9%
) 948
 
9.7%
( 946
 
9.7%
0 912
 
9.3%
2 789
 
8.1%
3 297
 
3.0%
4 279
 
2.8%
5 272
 
2.8%
Other values (16) 635
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13871
56.1%
ASCII 10840
43.9%
Number Forms 6
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2537
23.4%
, 1201
11.1%
1 974
 
9.0%
) 948
 
8.7%
( 946
 
8.7%
0 912
 
8.4%
2 789
 
7.3%
3 297
 
2.7%
4 279
 
2.6%
5 272
 
2.5%
Other values (63) 1685
15.5%
Hangul
ValueCountFrequency (%)
대 938
 
6.8%
이 749
 
5.4%
스 602
 
4.3%
트 351
 
2.5%
리 347
 
2.5%
마 245
 
1.8%
드 239
 
1.7%
토 227
 
1.6%
자 225
 
1.6%
언 210
 
1.5%
Other values (473) 9738
70.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

시설면적
Real number (ℝ)

SKEWED 

Distinct1402
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.75462
Minimum6.6
Maximum26833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:49.312061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile28.3375
Q187.77
median130.615
Q3175.765
95-th percentile301.47
Maximum26833
Range26826.4
Interquartile range (IQR)87.995

Descriptive statistics

Standard deviation592.16343
Coefficient of variation (CV)3.8513536
Kurtosis1988.4313
Mean153.75462
Median Absolute Deviation (MAD)43.74
Skewness44.11967
Sum319194.6
Variance350657.53
MonotonicityNot monotonic
2024-04-18T11:19:49.420536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 14
 
0.7%
30.0 10
 
0.5%
114.87 9
 
0.4%
286.94 8
 
0.4%
50.0 7
 
0.3%
66.0 7
 
0.3%
179.73 7
 
0.3%
188.0 7
 
0.3%
94.07 6
 
0.3%
140.16 6
 
0.3%
Other values (1392) 1995
96.1%
ValueCountFrequency (%)
6.6 2
0.1%
7.35 1
< 0.1%
9.42 1
< 0.1%
9.9 1
< 0.1%
9.98 1
< 0.1%
10.0 1
< 0.1%
10.4 1
< 0.1%
11.08 1
< 0.1%
12.0 2
0.1%
12.3 1
< 0.1%
ValueCountFrequency (%)
26833.0 1
< 0.1%
770.63 1
< 0.1%
722.27 1
< 0.1%
715.36 1
< 0.1%
611.47 1
< 0.1%
566.31 1
< 0.1%
565.7 1
< 0.1%
551.76 1
< 0.1%
545.28 1
< 0.1%
533.69 1
< 0.1%

지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)1.3%
Missing746
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2.7428571
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:49.524324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile8
Maximum49
Range48
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.7777002
Coefficient of variation (CV)1.0127032
Kurtosis62.965433
Mean2.7428571
Median Absolute Deviation (MAD)1
Skewness5.2103933
Sum3648
Variance7.7156186
MonotonicityNot monotonic
2024-04-18T11:19:49.612487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 565
27.2%
2 303
14.6%
3 129
 
6.2%
4 106
 
5.1%
5 75
 
3.6%
6 43
 
2.1%
7 37
 
1.8%
10 25
 
1.2%
8 21
 
1.0%
9 11
 
0.5%
Other values (7) 15
 
0.7%
(Missing) 746
35.9%
ValueCountFrequency (%)
1 565
27.2%
2 303
14.6%
3 129
 
6.2%
4 106
 
5.1%
5 75
 
3.6%
6 43
 
2.1%
7 37
 
1.8%
8 21
 
1.0%
9 11
 
0.5%
10 25
 
1.2%
ValueCountFrequency (%)
49 1
 
< 0.1%
24 1
 
< 0.1%
20 1
 
< 0.1%
16 3
 
0.1%
15 2
 
0.1%
14 1
 
< 0.1%
12 6
 
0.3%
10 25
1.2%
9 11
0.5%
8 21
1.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.2%
Missing1496
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean1.1913793
Minimum0
Maximum6
Zeros33
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:49.694948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.78165152
Coefficient of variation (CV)0.65608955
Kurtosis12.824672
Mean1.1913793
Median Absolute Deviation (MAD)0
Skewness3.0912535
Sum691
Variance0.6109791
MonotonicityNot monotonic
2024-04-18T11:19:49.775730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 459
 
22.1%
2 61
 
2.9%
0 33
 
1.6%
3 10
 
0.5%
5 8
 
0.4%
4 7
 
0.3%
6 2
 
0.1%
(Missing) 1496
72.1%
ValueCountFrequency (%)
0 33
 
1.6%
1 459
22.1%
2 61
 
2.9%
3 10
 
0.5%
4 7
 
0.3%
5 8
 
0.4%
6 2
 
0.1%
ValueCountFrequency (%)
6 2
 
0.1%
5 8
 
0.4%
4 7
 
0.3%
3 10
 
0.5%
2 61
 
2.9%
1 459
22.1%
0 33
 
1.6%

건물용도명
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1184 
근린생활시설
734 
판매시설
 
99
기타
 
17
숙박시설
 
8
Other values (13)
 
34

Length

Max length15
Median length4
Mean length4.7037572
Min length2

Unique

Unique8 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1184
57.0%
근린생활시설 734
35.4%
판매시설 99
 
4.8%
기타 17
 
0.8%
숙박시설 8
 
0.4%
유통시설 8
 
0.4%
문화시설 6
 
0.3%
유기장 5
 
0.2%
환경위생시설 4
 
0.2%
단독주택 3
 
0.1%
Other values (8) 8
 
0.4%

Length

2024-04-18T11:19:49.879380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1184
57.0%
근린생활시설 734
35.3%
판매시설 99
 
4.8%
기타 17
 
0.8%
숙박시설 8
 
0.4%
유통시설 8
 
0.4%
문화시설 6
 
0.3%
유기장 5
 
0.2%
환경위생시설 4
 
0.2%
단독주택 3
 
0.1%
Other values (9) 9
 
0.4%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)48.2%
Missing1877
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean92.813065
Minimum40
Maximum610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:49.994445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q141
median57
Q394.9
95-th percentile259.1
Maximum610
Range570
Interquartile range (IQR)53.9

Descriptive statistics

Standard deviation86.014238
Coefficient of variation (CV)0.92674709
Kurtosis8.7971734
Mean92.813065
Median Absolute Deviation (MAD)17
Skewness2.6484932
Sum18469.8
Variance7398.4491
MonotonicityNot monotonic
2024-04-18T11:19:50.107984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 46
 
2.2%
42.0 13
 
0.6%
41.0 6
 
0.3%
80.0 5
 
0.2%
44.0 4
 
0.2%
61.0 4
 
0.2%
45.0 4
 
0.2%
55.0 4
 
0.2%
43.0 3
 
0.1%
72.0 3
 
0.1%
Other values (86) 107
 
5.2%
(Missing) 1877
90.4%
ValueCountFrequency (%)
40.0 46
2.2%
40.9 1
 
< 0.1%
41.0 6
 
0.3%
42.0 13
 
0.6%
43.0 3
 
0.1%
44.0 4
 
0.2%
45.0 4
 
0.2%
46.0 1
 
< 0.1%
47.0 2
 
0.1%
48.0 1
 
< 0.1%
ValueCountFrequency (%)
610.0 1
< 0.1%
438.0 1
< 0.1%
422.0 1
< 0.1%
357.0 1
< 0.1%
356.0 1
< 0.1%
343.0 1
< 0.1%
319.0 1
< 0.1%
311.0 1
< 0.1%
296.0 1
< 0.1%
269.0 1
< 0.1%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)6.9%
Missing929
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean34.047951
Minimum0
Maximum168
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-04-18T11:19:50.221176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median40
Q349.5
95-th percentile64
Maximum168
Range168
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation19.741487
Coefficient of variation (CV)0.57981425
Kurtosis1.6001066
Mean34.047951
Median Absolute Deviation (MAD)11
Skewness0.55376838
Sum39053
Variance389.72632
MonotonicityNot monotonic
2024-04-18T11:19:50.338620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 323
 
15.6%
50 146
 
7.0%
60 59
 
2.8%
10 51
 
2.5%
8 36
 
1.7%
12 29
 
1.4%
11 23
 
1.1%
9 23
 
1.1%
15 23
 
1.1%
20 22
 
1.1%
Other values (69) 412
19.8%
(Missing) 929
44.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%
4 14
 
0.7%
5 21
1.0%
6 22
1.1%
7 15
0.7%
8 36
1.7%
9 23
1.1%
ValueCountFrequency (%)
168 1
 
< 0.1%
123 1
 
< 0.1%
103 1
 
< 0.1%
100 2
 
0.1%
96 1
 
< 0.1%
94 1
 
< 0.1%
90 4
 
0.2%
83 1
 
< 0.1%
80 11
0.5%
77 1
 
< 0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
전체이용가
1881 
<NA>
189 
청소년이용불가
 
6

Length

Max length7
Median length5
Mean length4.9147399
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 1881
90.6%
<NA> 189
 
9.1%
청소년이용불가 6
 
0.3%

Length

2024-04-18T11:19:50.451725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:19:50.543682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 1881
90.6%
na 189
 
9.1%
청소년이용불가 6
 
0.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1411 
일반상업지역
411 
일반주거지역
 
97
상업지역
 
67
준주거지역
 
56
Other values (6)
 
34

Length

Max length6
Median length4
Mean length4.5366089
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1411
68.0%
일반상업지역 411
 
19.8%
일반주거지역 97
 
4.7%
상업지역 67
 
3.2%
준주거지역 56
 
2.7%
근린상업지역 9
 
0.4%
주거지역 9
 
0.4%
준공업지역 6
 
0.3%
중심상업지역 5
 
0.2%
자연녹지지역 4
 
0.2%

Length

2024-04-18T11:19:50.649264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1411
68.0%
일반상업지역 411
 
19.8%
일반주거지역 97
 
4.7%
상업지역 67
 
3.2%
준주거지역 56
 
2.7%
근린상업지역 9
 
0.4%
주거지역 9
 
0.4%
준공업지역 6
 
0.3%
중심상업지역 5
 
0.2%
자연녹지지역 4
 
0.2%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2076
Missing (%)100.0%
Memory size18.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01청소년게임제공업03_05_07_P3250000CDFF224114201900000620190425<NA>3폐업3폐업20190709<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 74-1번지부산광역시 중구 구덕로 80, 지상2층 (남포동6가)48981미야 게임랜드20190709145301U2019-07-11 02:40:00.0<NA>384771.402143179510.642128청소년게임제공업유통관련업<NA><NA>50대(아수라 25대, 뭐하노 25대)120.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
12청소년게임제공업03_05_07_P3250000CDFF224114201900000720190425<NA>3폐업3폐업20201007<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동1가 41-2부산광역시 중구 광복로12번길 9, 지상2층 (부평동1가)48980제네시스 게임랜드20201007142429U2020-10-09 02:40:00.0<NA>384709.387003179612.05593청소년게임제공업유통관련업<NA><NA>54대(더블 위자드 20대, 제네시스2017 20대, 어디GO(고) 14대)153.59<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
23청소년게임제공업03_05_07_P3250000CDFF224114201700001120170501<NA>3폐업3폐업20200217<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 45-1번지부산광역시 중구 보수대로 16-1, 2층 (부평동2가)48980송골매 게임랜드20200217144506U2020-02-19 02:40:00.0<NA>384617.131962179590.603168청소년게임제공업유통관련업<NA><NA>화신대전176.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>31<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
34청소년게임제공업03_05_07_P3250000CDFF224114201700001220170501<NA>3폐업3폐업20171017<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 74-1번지부산광역시 중구 구덕로 80, 2층 (남포동6가)48981시원 게임랜드20171017164830I2018-08-31 23:59:59.0<NA>384771.402143179510.642128청소년게임제공업유통관련업<NA><NA>골드해적93.561근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA><NA><NA>
45청소년게임제공업03_05_07_P3250000CDFF224114201700001920170714<NA>3폐업3폐업20171114<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 88번지부산광역시 중구 자갈치로37번길 4, 2층 (남포동5가)48983왔다 게임랜드20171114175728I2018-08-31 23:59:59.0<NA>384910.466574179447.226506청소년게임제공업유통관련업<NA><NA><NA>120.3961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA>전체이용가<NA><NA><NA><NA><NA>
56청소년게임제공업03_05_07_P3250000CDFF224114201700002120170808<NA>3폐업3폐업20180611<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 93-1번지부산광역시 중구 비프광장로 16, 1층 (남포동6가)48981팡팡 게임랜드20180611151748I2018-08-31 23:59:59.0<NA>384768.319656179566.176779청소년게임제공업유통관련업<NA><NA><NA>128.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
67청소년게임제공업03_05_07_P3250000CDFF224114201700001420170525<NA>3폐업3폐업20180402<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 106-1번지부산광역시 중구 비프광장로 4-2, 2층 (남포동6가, 크로바게임랜드)48981아이존20180402161840I2018-08-31 23:59:59.0<NA>384660.954906179549.166639청소년게임제공업유통관련업3<NA>화신대전 24대, 코스모제로 16대126.983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA><NA><NA>
78청소년게임제공업03_05_07_P3250000CDFF224114201700003420171214<NA>3폐업3폐업20190630<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 27-1번지부산광역시 중구 부평1길 8, 1층 (부평동2가)48979뽑기콜20190711152123U2019-07-13 02:40:00.0<NA>384646.787111179729.856171청소년게임제공업유통관련업1유흥업소밀집지역전체이용가게임물 7대(코샵2, 골든박스1, 부키부키3, 마트크레인1)38.681<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA><NA>
89청소년게임제공업03_05_07_P3250000CDFF224114201700003520171218<NA>3폐업3폐업20190411<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 94번지부산광역시 중구 비프광장로 16, 지상1층 (남포동6가)48981매직 게임랜드20190411163612U2019-04-13 02:40:00.0<NA>384763.821916179580.82359청소년게임제공업유통관련업9유흥업소밀집지역전체이용가 44대(캡틴클래스30, 마크-파이브9,세븐럭삼국지5)246.6672판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
910청소년게임제공업03_05_07_P3250000CDFF224114201700003620171226<NA>3폐업3폐업20200519<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 99번지 아카데미빌딩부산광역시 중구 비프광장로 12, 아카데미빌딩 지하1층 (남포동6가)48981조은 게임랜드20200519105404U2020-05-21 02:40:00.0<NA>384717.473282179565.899234청소년게임제공업유통관련업9유흥업소밀집지역백상어 20대, 소흑천 60대154.3672판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>80<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
20662067청소년게임제공업03_05_07_P3330000CDFF224114201100002320110721201110104취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 890-4번지 지하1층부산광역시 해운대구 선수촌로 175 (반여동,지하1층)<NA>챔피언게임랜드20111011094015I2018-08-31 23:59:59.0<NA>393292.103234191983.067767청소년게임제공업유통관련업2기타딥 시어(deep sear)187.8921근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준공업지역<NA>
20672068청소년게임제공업03_05_07_P3330000CDFF224114201100002420110817201112124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-352번지 지상1층부산광역시 해운대구 중동1로 46 (중동)612847골든게임랜드20111212175809I2018-08-31 23:59:59.0<NA>397047.443339186844.787912청소년게임제공업유통관련업6기타<NA>184.4561근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>상업지역<NA>
20682069청소년게임제공업03_05_07_P3330000CDFF224114202000000220200303202006054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 903-11번지 2층부산광역시 해운대구 선수촌로165번길 8, 2층 (반여동)48032일동게임랜드20200608175637U2020-06-10 02:40:00.0<NA>393220.982502191930.66198청소년게임제공업유통관련업<NA><NA>구룡영웅전(9)대해적비밀의섬(30)천존사신기Ⅱ(11)128.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA><NA>
20692070청소년게임제공업03_05_07_P3330000CDFF224114200800000520080415<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1479-3번지부산광역시 해운대구 해운대로 814, 7층 (좌동)612842미심20120525103135I2018-08-31 23:59:59.0<NA>398330.51653187771.511374청소년게임제공업유통관련업<NA><NA>유기기구수:17대18.167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20702071청소년게임제공업03_05_07_P3330000CDFF224114200800000720080528<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1775-7번지부산광역시 해운대구 좌동순환로 473 (중동)612851로데오게임랜드20120525102949I2018-08-31 23:59:59.0<NA>397619.60935187004.870496청소년게임제공업유통관련업4<NA><NA>77.61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20712072청소년게임제공업03_05_07_P3330000CDFF224114200800002020080808<NA>4취소/말소/만료/정지/중지35직권말소20120803<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 149-9번지부산광역시 해운대구 우동2로 16 (우동)612818타임머신20120803091452I2018-08-31 23:59:59.0<NA>396771.437409187359.366668청소년게임제공업유통관련업<NA><NA><NA>303.1841<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20722073청소년게임제공업03_05_07_P3330000CDFF224114200800003520081222<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1775-7번지 1층부산광역시 해운대구 좌동순환로 473 (중동)612851로데오 게임랜드20120525103031I2018-08-31 23:59:59.0<NA>397619.60935187004.870496청소년게임제공업유통관련업<NA><NA>전체이용가 50대114.891<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20732074청소년게임제공업03_05_07_P3330000CDFF224114201000000520100916<NA>4취소/말소/만료/정지/중지35직권말소20130128<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-352번지부산광역시 해운대구 중동1로 46 (중동)612847비치게임랜드20130128180533I2018-08-31 23:59:59.0<NA>397047.443339186844.787912청소년게임제공업유통관련업<NA><NA>패르리어트 40대(2011.6.2)268.841<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
20742075청소년게임제공업03_05_07_P3330000CDFF224114201000001020101208<NA>4취소/말소/만료/정지/중지35직권말소20130128<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-352번지부산광역시 해운대구 중동1로 46 (중동)612847바다 게임랜드20130128180614I2018-08-31 23:59:59.0<NA>397047.443339186844.787912청소년게임제공업유통관련업<NA><NA>경포대(CC-NA-100827-002) 40대184.451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
20752076청소년게임제공업03_05_07_P3330000CDFF224114201100001920110428<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1460-4번지 지하1층부산광역시 해운대구 양운로 지하 82, 1층 (좌동)612836장산 게임랜드20120525103111I2018-08-31 23:59:59.0<NA>398133.960402187864.096706청소년게임제공업유통관련업<NA><NA>플리넷333(CC-NA-110223-001) 40대262.3<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역<NA>