Overview

Dataset statistics

Number of variables60
Number of observations2230
Missing cells69500
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 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=20230901050101123037

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화사업자구분명 has constant value ""Constant
상세영업상태명 is highly imbalanced (50.4%)Imbalance
데이터갱신구분 is highly imbalanced (64.8%)Imbalance
주변환경명 is highly imbalanced (50.7%)Imbalance
건물용도명 is highly imbalanced (58.1%)Imbalance
제공게임물명 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 2075 (93.0%) missing valuesMissing
폐업일자 has 285 (12.8%) missing valuesMissing
휴업시작일자 has 2230 (100.0%) missing valuesMissing
휴업종료일자 has 2230 (100.0%) missing valuesMissing
재개업일자 has 2230 (100.0%) missing valuesMissing
소재지전화 has 1337 (60.0%) missing valuesMissing
소재지면적 has 2230 (100.0%) missing valuesMissing
소재지우편번호 has 644 (28.9%) missing valuesMissing
도로명전체주소 has 416 (18.7%) missing valuesMissing
도로명우편번호 has 1717 (77.0%) missing valuesMissing
업태구분명 has 2230 (100.0%) missing valuesMissing
좌표정보(x) has 161 (7.2%) missing valuesMissing
좌표정보(y) has 161 (7.2%) missing valuesMissing
총층수 has 1070 (48.0%) missing valuesMissing
제작취급품목내용 has 1875 (84.1%) missing valuesMissing
시설면적 has 290 (13.0%) missing valuesMissing
지상층수 has 728 (32.6%) missing valuesMissing
지하층수 has 1570 (70.4%) missing valuesMissing
통로너비 has 2230 (100.0%) missing valuesMissing
조명시설조도 has 2039 (91.4%) missing valuesMissing
노래방실수 has 2230 (100.0%) missing valuesMissing
청소년실수 has 2230 (100.0%) missing valuesMissing
비상계단여부 has 2230 (100.0%) missing valuesMissing
비상구여부 has 2230 (100.0%) missing valuesMissing
자동환기여부 has 2230 (100.0%) missing valuesMissing
청소년실여부 has 2230 (100.0%) missing valuesMissing
특수조명여부 has 2230 (100.0%) missing valuesMissing
방음시설여부 has 2230 (100.0%) missing valuesMissing
비디오재생기명 has 2230 (100.0%) missing valuesMissing
조명시설유무 has 2230 (100.0%) missing valuesMissing
음향시설여부 has 2230 (100.0%) missing valuesMissing
편의시설여부 has 2230 (100.0%) missing valuesMissing
소방시설여부 has 2230 (100.0%) missing valuesMissing
총게임기수 has 1607 (72.1%) missing valuesMissing
기존게임업외업종명 has 2230 (100.0%) missing valuesMissing
공연장형태구분명 has 2230 (100.0%) missing valuesMissing
품목명 has 2230 (100.0%) missing valuesMissing
최초등록시점 has 2230 (100.0%) missing valuesMissing
Unnamed: 59 has 2230 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 43.95885635)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

Reproduction

Analysis started2024-04-21 19:15:09.865933
Analysis finished2024-04-21 19:15:11.842201
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1115.5
Minimum1
Maximum2230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:12.039389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile112.45
Q1558.25
median1115.5
Q31672.75
95-th percentile2118.55
Maximum2230
Range2229
Interquartile range (IQR)1114.5

Descriptive statistics

Standard deviation643.88987
Coefficient of variation (CV)0.57722086
Kurtosis-1.2
Mean1115.5
Median Absolute Deviation (MAD)557.5
Skewness0
Sum2487565
Variance414594.17
MonotonicityStrictly increasing
2024-04-22T04:15:12.453507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1491 1
 
< 0.1%
1485 1
 
< 0.1%
1486 1
 
< 0.1%
1487 1
 
< 0.1%
1488 1
 
< 0.1%
1489 1
 
< 0.1%
1490 1
 
< 0.1%
1492 1
 
< 0.1%
1500 1
 
< 0.1%
Other values (2220) 2220
99.6%
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 (%)
2230 1
< 0.1%
2229 1
< 0.1%
2228 1
< 0.1%
2227 1
< 0.1%
2226 1
< 0.1%
2225 1
< 0.1%
2224 1
< 0.1%
2223 1
< 0.1%
2222 1
< 0.1%
2221 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
일반게임제공업
2230 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반게임제공업 2230
100.0%

Length

2024-04-22T04:15:12.844793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:13.147647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반게임제공업 2230
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
03_05_06_P
2230 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_06_P
2nd row03_05_06_P
3rd row03_05_06_P
4th row03_05_06_P
5th row03_05_06_P

Common Values

ValueCountFrequency (%)
03_05_06_P 2230
100.0%

Length

2024-04-22T04:15:13.461486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:13.768227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_06_p 2230
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3319520.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:14.063262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation43222.517
Coefficient of variation (CV)0.013020712
Kurtosis-0.9094613
Mean3319520.2
Median Absolute Deviation (MAD)30000
Skewness0.095200416
Sum7.40253 × 109
Variance1.868186 × 109
MonotonicityNot monotonic
2024-04-22T04:15:14.446819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 271
12.2%
3250000 256
11.5%
3300000 215
9.6%
3340000 202
9.1%
3330000 196
8.8%
3320000 163
7.3%
3390000 142
 
6.4%
3350000 138
 
6.2%
3310000 137
 
6.1%
3370000 131
 
5.9%
Other values (6) 379
17.0%
ValueCountFrequency (%)
3250000 256
11.5%
3260000 38
 
1.7%
3270000 88
 
3.9%
3280000 56
 
2.5%
3290000 271
12.2%
3300000 215
9.6%
3310000 137
6.1%
3320000 163
7.3%
3330000 196
8.8%
3340000 202
9.1%
ValueCountFrequency (%)
3400000 64
 
2.9%
3390000 142
6.4%
3380000 125
5.6%
3370000 131
5.9%
3360000 8
 
0.4%
3350000 138
6.2%
3340000 202
9.1%
3330000 196
8.8%
3320000 163
7.3%
3310000 137
6.1%

관리번호
Text

Distinct473
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
2024-04-22T04:15:15.191951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters44600
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

Unique157 ?
Unique (%)7.0%

Sample

1st rowCDFF2241132019000001
2nd rowCDFF2241132019000004
3rd rowCDFF2241132019000008
4th rowCDFF2241132019000005
5th rowCDFF2241132019000007
ValueCountFrequency (%)
cdff2241012006000001 16
 
0.7%
cdff2241012005000002 15
 
0.7%
cdff2241012003000001 15
 
0.7%
cdff2241132017000001 15
 
0.7%
cdff2241132013000001 15
 
0.7%
cdff2241012005000004 15
 
0.7%
cdff2241012005000003 15
 
0.7%
cdff2241012002000001 15
 
0.7%
cdff2241012005000007 14
 
0.6%
cdff2241012005000006 14
 
0.6%
Other values (463) 2081
93.3%
2024-04-22T04:15:16.290193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15878
35.6%
2 7120
16.0%
1 6510
14.6%
F 4460
 
10.0%
4 2773
 
6.2%
C 2230
 
5.0%
D 2230
 
5.0%
3 964
 
2.2%
9 751
 
1.7%
5 612
 
1.4%
Other values (3) 1072
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35680
80.0%
Uppercase Letter 8920
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15878
44.5%
2 7120
20.0%
1 6510
18.2%
4 2773
 
7.8%
3 964
 
2.7%
9 751
 
2.1%
5 612
 
1.7%
6 491
 
1.4%
8 331
 
0.9%
7 250
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 4460
50.0%
C 2230
25.0%
D 2230
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35680
80.0%
Latin 8920
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15878
44.5%
2 7120
20.0%
1 6510
18.2%
4 2773
 
7.8%
3 964
 
2.7%
9 751
 
2.1%
5 612
 
1.7%
6 491
 
1.4%
8 331
 
0.9%
7 250
 
0.7%
Latin
ValueCountFrequency (%)
F 4460
50.0%
C 2230
25.0%
D 2230
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15878
35.6%
2 7120
16.0%
1 6510
14.6%
F 4460
 
10.0%
4 2773
 
6.2%
C 2230
 
5.0%
D 2230
 
5.0%
3 964
 
2.2%
9 751
 
1.7%
5 612
 
1.4%
Other values (3) 1072
 
2.4%

인허가일자
Real number (ℝ)

Distinct1399
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20040730
Minimum19810227
Maximum20210203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:16.718598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810227
5-th percentile19900729
Q120011222
median20031220
Q320060324
95-th percentile20170982
Maximum20210203
Range399976
Interquartile range (IQR)49102

Descriptive statistics

Standard deviation67491.134
Coefficient of variation (CV)0.0033676984
Kurtosis1.3125062
Mean20040730
Median Absolute Deviation (MAD)20003.5
Skewness-0.024480468
Sum4.4690827 × 1010
Variance4.5550532 × 109
MonotonicityNot monotonic
2024-04-22T04:15:17.185444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20011224 86
 
3.9%
20011227 63
 
2.8%
20011222 43
 
1.9%
20011214 31
 
1.4%
20011220 30
 
1.3%
20011226 28
 
1.3%
20011219 20
 
0.9%
20011213 18
 
0.8%
20011228 17
 
0.8%
20011217 14
 
0.6%
Other values (1389) 1880
84.3%
ValueCountFrequency (%)
19810227 1
< 0.1%
19841108 1
< 0.1%
19841214 2
0.1%
19841221 1
< 0.1%
19850109 1
< 0.1%
19850128 1
< 0.1%
19850131 1
< 0.1%
19850207 2
0.1%
19850208 1
< 0.1%
19850211 1
< 0.1%
ValueCountFrequency (%)
20210203 1
< 0.1%
20210202 1
< 0.1%
20210129 1
< 0.1%
20210118 1
< 0.1%
20201231 1
< 0.1%
20201224 1
< 0.1%
20201221 1
< 0.1%
20201218 1
< 0.1%
20201217 1
< 0.1%
20201204 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)84.5%
Missing2075
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean20115395
Minimum20030213
Maximum20210215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:17.617657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030213
5-th percentile20067588
Q120070710
median20091027
Q320160374
95-th percentile20200540
Maximum20210215
Range180002
Interquartile range (IQR)89664.5

Descriptive statistics

Standard deviation50505.891
Coefficient of variation (CV)0.0025108078
Kurtosis-1.423183
Mean20115395
Median Absolute Deviation (MAD)29275
Skewness0.37263184
Sum3.1178863 × 109
Variance2.550845 × 109
MonotonicityNot monotonic
2024-04-22T04:15:18.075312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070710 5
 
0.2%
20070327 4
 
0.2%
20070731 3
 
0.1%
20051007 3
 
0.1%
20070704 3
 
0.1%
20111229 2
 
0.1%
20080211 2
 
0.1%
20071009 2
 
0.1%
20070911 2
 
0.1%
20071101 2
 
0.1%
Other values (121) 127
 
5.7%
(Missing) 2075
93.0%
ValueCountFrequency (%)
20030213 1
 
< 0.1%
20040130 1
 
< 0.1%
20050728 1
 
< 0.1%
20051007 3
0.1%
20060721 1
 
< 0.1%
20061215 1
 
< 0.1%
20070320 1
 
< 0.1%
20070327 4
0.2%
20070402 1
 
< 0.1%
20070417 1
 
< 0.1%
ValueCountFrequency (%)
20210215 1
< 0.1%
20210111 1
< 0.1%
20201111 1
< 0.1%
20200813 1
< 0.1%
20200731 1
< 0.1%
20200715 1
< 0.1%
20200623 1
< 0.1%
20200602 1
< 0.1%
20200514 1
< 0.1%
20200127 1
< 0.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
3
1653 
4
479 
1
 
98

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 1653
74.1%
4 479
 
21.5%
1 98
 
4.4%

Length

2024-04-22T04:15:18.704111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:19.015642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1653
74.1%
4 479
 
21.5%
1 98
 
4.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
폐업
1653 
취소/말소/만료/정지/중지
479 
영업/정상
 
98

Length

Max length14
Median length2
Mean length4.709417
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1653
74.1%
취소/말소/만료/정지/중지 479
 
21.5%
영업/정상 98
 
4.4%

Length

2024-04-22T04:15:19.393809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:19.733667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1653
74.1%
취소/말소/만료/정지/중지 479
 
21.5%
영업/정상 98
 
4.4%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9641256
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:20.023339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q313
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.442224
Coefficient of variation (CV)1.2487021
Kurtosis-0.11282019
Mean9.9641256
Median Absolute Deviation (MAD)0
Skewness1.3328955
Sum22220
Variance154.80894
MonotonicityNot monotonic
2024-04-22T04:15:20.355663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 1652
74.1%
35 302
 
13.5%
30 101
 
4.5%
13 98
 
4.4%
31 76
 
3.4%
34 1
 
< 0.1%
ValueCountFrequency (%)
3 1652
74.1%
13 98
 
4.4%
30 101
 
4.5%
31 76
 
3.4%
34 1
 
< 0.1%
35 302
 
13.5%
ValueCountFrequency (%)
35 302
 
13.5%
34 1
 
< 0.1%
31 76
 
3.4%
30 101
 
4.5%
13 98
 
4.4%
3 1652
74.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
폐업
1652 
직권말소
302 
허가취소
 
101
영업중
 
98
등록취소
 
76

Length

Max length5
Median length2
Mean length2.4748879
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1652
74.1%
직권말소 302
 
13.5%
허가취소 101
 
4.5%
영업중 98
 
4.4%
등록취소 76
 
3.4%
영업장폐쇄 1
 
< 0.1%

Length

2024-04-22T04:15:20.765723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:21.119242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1652
74.1%
직권말소 302
 
13.5%
허가취소 101
 
4.5%
영업중 98
 
4.4%
등록취소 76
 
3.4%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct999
Distinct (%)51.4%
Missing285
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean20073115
Minimum20011004
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:21.509202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011004
5-th percentile20030520
Q120050627
median20070514
Q320080624
95-th percentile20160711
Maximum20210331
Range199327
Interquartile range (IQR)29997

Descriptive statistics

Standard deviation36428.422
Coefficient of variation (CV)0.0018147867
Kurtosis2.7195171
Mean20073115
Median Absolute Deviation (MAD)10287
Skewness1.5655
Sum3.9042208 × 1010
Variance1.3270299 × 109
MonotonicityNot monotonic
2024-04-22T04:15:21.967288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080801 134
 
6.0%
20120515 35
 
1.6%
20080325 33
 
1.5%
20061221 24
 
1.1%
20080831 23
 
1.0%
20071128 23
 
1.0%
20080519 19
 
0.9%
20070615 16
 
0.7%
20070820 13
 
0.6%
20041101 12
 
0.5%
Other values (989) 1613
72.3%
(Missing) 285
 
12.8%
ValueCountFrequency (%)
20011004 1
 
< 0.1%
20020102 1
 
< 0.1%
20020107 1
 
< 0.1%
20020124 1
 
< 0.1%
20020201 2
0.1%
20020219 1
 
< 0.1%
20020227 3
0.1%
20020305 1
 
< 0.1%
20020313 1
 
< 0.1%
20020320 1
 
< 0.1%
ValueCountFrequency (%)
20210331 1
< 0.1%
20210122 1
< 0.1%
20201216 1
< 0.1%
20201214 1
< 0.1%
20201211 1
< 0.1%
20201204 1
< 0.1%
20201201 1
< 0.1%
20201020 1
< 0.1%
20201008 1
< 0.1%
20200917 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

소재지전화
Text

MISSING 

Distinct866
Distinct (%)97.0%
Missing1337
Missing (%)60.0%
Memory size17.5 KiB
2024-04-22T04:15:23.043902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.3359462
Min length1

Characters and Unicode

Total characters7444
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique842 ?
Unique (%)94.3%

Sample

1st row241-5967
2nd row0512470884
3rd row25-8240
4th row247-4177
5th row051-245-7977
ValueCountFrequency (%)
5
 
0.6%
757-8334 2
 
0.2%
755-5451 2
 
0.2%
528-2184 2
 
0.2%
246-1709 2
 
0.2%
740-0930 2
 
0.2%
243-2010 2
 
0.2%
543-9091 2
 
0.2%
703-4375 2
 
0.2%
542-2237 2
 
0.2%
Other values (856) 870
97.4%
2024-04-22T04:15:24.535726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 952
12.8%
2 892
12.0%
5 869
11.7%
4 714
9.6%
6 649
8.7%
7 643
8.6%
1 625
8.4%
0 608
8.2%
3 598
8.0%
8 510
6.9%
Other values (5) 384
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6473
87.0%
Dash Punctuation 952
 
12.8%
Other Punctuation 13
 
0.2%
Close Punctuation 5
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 892
13.8%
5 869
13.4%
4 714
11.0%
6 649
10.0%
7 643
9.9%
1 625
9.7%
0 608
9.4%
3 598
9.2%
8 510
7.9%
9 365
5.6%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
. 1
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 952
12.8%
2 892
12.0%
5 869
11.7%
4 714
9.6%
6 649
8.7%
7 643
8.6%
1 625
8.4%
0 608
8.2%
3 598
8.0%
8 510
6.9%
Other values (5) 384
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 952
12.8%
2 892
12.0%
5 869
11.7%
4 714
9.6%
6 649
8.7%
7 643
8.6%
1 625
8.4%
0 608
8.2%
3 598
8.0%
8 510
6.9%
Other values (5) 384
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)24.1%
Missing644
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean610433.96
Minimum600011
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:24.955639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600046
Q1604852
median611824
Q3614847
95-th percentile617831.75
Maximum619963
Range19952
Interquartile range (IQR)9995

Descriptive statistics

Standard deviation5857.4559
Coefficient of variation (CV)0.0095955604
Kurtosis-1.0641381
Mean610433.96
Median Absolute Deviation (MAD)4009
Skewness-0.366244
Sum9.6814826 × 108
Variance34309790
MonotonicityNot monotonic
2024-04-22T04:15:25.409639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614847 57
 
2.6%
600046 41
 
1.8%
607833 39
 
1.7%
600805 31
 
1.4%
616852 26
 
1.2%
604020 26
 
1.2%
600042 21
 
0.9%
600045 20
 
0.9%
613800 20
 
0.9%
614846 19
 
0.9%
Other values (373) 1286
57.7%
(Missing) 644
28.9%
ValueCountFrequency (%)
600011 2
 
0.1%
600012 1
 
< 0.1%
600013 1
 
< 0.1%
600021 3
 
0.1%
600023 1
 
< 0.1%
600025 1
 
< 0.1%
600032 2
 
0.1%
600042 21
0.9%
600043 12
0.5%
600044 1
 
< 0.1%
ValueCountFrequency (%)
619963 3
 
0.1%
619961 2
 
0.1%
619951 3
 
0.1%
619950 1
 
< 0.1%
619912 4
 
0.2%
619906 3
 
0.1%
619905 11
0.5%
619903 16
0.7%
619901 7
0.3%
618815 2
 
0.1%

소재지전체주소
Text

Distinct1868
Distinct (%)84.0%
Missing5
Missing (%)0.2%
Memory size17.5 KiB
2024-04-22T04:15:26.554540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length22.682247
Min length12

Characters and Unicode

Total characters50468
Distinct characters256
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

Unique1615 ?
Unique (%)72.6%

Sample

1st row부산광역시 중구 부평동2가 39-1
2nd row부산광역시 중구 부평동2가 47-10번지
3rd row부산광역시 중구 남포동6가 99번지 아카데미빌딩
4th row부산광역시 중구 남포동6가 102-2번지
5th row부산광역시 중구 남포동6가 102-2번지
ValueCountFrequency (%)
부산광역시 2225
23.6%
부산진구 271
 
2.9%
중구 256
 
2.7%
동래구 214
 
2.3%
사하구 202
 
2.1%
해운대구 196
 
2.1%
북구 162
 
1.7%
부전동 150
 
1.6%
사상구 142
 
1.5%
금정구 138
 
1.5%
Other values (2053) 5455
58.0%
2024-04-22T04:15:28.105582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7188
 
14.2%
부 2762
 
5.5%
산 2637
 
5.2%
동 2565
 
5.1%
1 2322
 
4.6%
광 2305
 
4.6%
구 2249
 
4.5%
시 2228
 
4.4%
역 2225
 
4.4%
지 2215
 
4.4%
Other values (246) 21772
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30267
60.0%
Decimal Number 10594
 
21.0%
Space Separator 7188
 
14.2%
Dash Punctuation 2072
 
4.1%
Close Punctuation 153
 
0.3%
Open Punctuation 153
 
0.3%
Other Punctuation 32
 
0.1%
Uppercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2762
 
9.1%
산 2637
 
8.7%
동 2565
 
8.5%
광 2305
 
7.6%
구 2249
 
7.4%
시 2228
 
7.4%
역 2225
 
7.4%
지 2215
 
7.3%
번 2099
 
6.9%
대 385
 
1.3%
Other values (225) 8597
28.4%
Decimal Number
ValueCountFrequency (%)
1 2322
21.9%
2 1630
15.4%
3 1066
10.1%
4 1023
9.7%
5 966
9.1%
0 821
 
7.7%
6 813
 
7.7%
7 713
 
6.7%
9 633
 
6.0%
8 607
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 24
75.0%
. 4
 
12.5%
: 4
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
83.3%
J 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2072
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30267
60.0%
Common 20195
40.0%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2762
 
9.1%
산 2637
 
8.7%
동 2565
 
8.5%
광 2305
 
7.6%
구 2249
 
7.4%
시 2228
 
7.4%
역 2225
 
7.4%
지 2215
 
7.3%
번 2099
 
6.9%
대 385
 
1.3%
Other values (225) 8597
28.4%
Common
ValueCountFrequency (%)
7188
35.6%
1 2322
 
11.5%
- 2072
 
10.3%
2 1630
 
8.1%
3 1066
 
5.3%
4 1023
 
5.1%
5 966
 
4.8%
0 821
 
4.1%
6 813
 
4.0%
7 713
 
3.5%
Other values (9) 1581
 
7.8%
Latin
ValueCountFrequency (%)
B 5
83.3%
J 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30267
60.0%
ASCII 20201
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7188
35.6%
1 2322
 
11.5%
- 2072
 
10.3%
2 1630
 
8.1%
3 1066
 
5.3%
4 1023
 
5.1%
5 966
 
4.8%
0 821
 
4.1%
6 813
 
4.0%
7 713
 
3.5%
Other values (11) 1587
 
7.9%
Hangul
ValueCountFrequency (%)
부 2762
 
9.1%
산 2637
 
8.7%
동 2565
 
8.5%
광 2305
 
7.6%
구 2249
 
7.4%
시 2228
 
7.4%
역 2225
 
7.4%
지 2215
 
7.3%
번 2099
 
6.9%
대 385
 
1.3%
Other values (225) 8597
28.4%

도로명전체주소
Text

MISSING 

Distinct1560
Distinct (%)86.0%
Missing416
Missing (%)18.7%
Memory size17.5 KiB
2024-04-22T04:15:29.361901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length27.340132
Min length17

Characters and Unicode

Total characters49595
Distinct characters284
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

Unique1360 ?
Unique (%)75.0%

Sample

1st row부산광역시 중구 비프광장로 7, 지상5층 (부평동2가)
2nd row부산광역시 중구 보수대로 18, 지하1층 (부평동2가)
3rd row부산광역시 중구 비프광장로 12, 아카데미빌딩 지상2층 (남포동6가)
4th row부산광역시 중구 비프광장로 8, 지상3층 (남포동6가)
5th row부산광역시 중구 비프광장로 8, 지상3층 (남포동6가)
ValueCountFrequency (%)
부산광역시 1814
 
19.2%
부산진구 248
 
2.6%
중구 245
 
2.6%
동래구 203
 
2.1%
해운대구 177
 
1.9%
남구 137
 
1.4%
금정구 132
 
1.4%
연제구 125
 
1.3%
사상구 122
 
1.3%
연산동 116
 
1.2%
Other values (1424) 6140
64.9%
2024-04-22T04:15:31.043391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8935
 
18.0%
부 2331
 
4.7%
동 2327
 
4.7%
산 2215
 
4.5%
광 2054
 
4.1%
구 1916
 
3.9%
) 1863
 
3.8%
( 1863
 
3.8%
시 1854
 
3.7%
역 1814
 
3.7%
Other values (274) 22423
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29180
58.8%
Space Separator 8935
 
18.0%
Decimal Number 6918
 
13.9%
Close Punctuation 1863
 
3.8%
Open Punctuation 1863
 
3.8%
Other Punctuation 471
 
0.9%
Dash Punctuation 357
 
0.7%
Uppercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2331
 
8.0%
동 2327
 
8.0%
산 2215
 
7.6%
광 2054
 
7.0%
구 1916
 
6.6%
시 1854
 
6.4%
역 1814
 
6.2%
로 1774
 
6.1%
길 743
 
2.5%
번 713
 
2.4%
Other values (253) 11439
39.2%
Decimal Number
ValueCountFrequency (%)
1 1732
25.0%
2 1065
15.4%
3 636
 
9.2%
4 616
 
8.9%
6 567
 
8.2%
5 540
 
7.8%
0 464
 
6.7%
9 436
 
6.3%
8 434
 
6.3%
7 428
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 468
99.4%
: 2
 
0.4%
. 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 5
83.3%
J 1
 
16.7%
Space Separator
ValueCountFrequency (%)
8935
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1863
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1863
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 357
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29180
58.8%
Common 20409
41.2%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2331
 
8.0%
동 2327
 
8.0%
산 2215
 
7.6%
광 2054
 
7.0%
구 1916
 
6.6%
시 1854
 
6.4%
역 1814
 
6.2%
로 1774
 
6.1%
길 743
 
2.5%
번 713
 
2.4%
Other values (253) 11439
39.2%
Common
ValueCountFrequency (%)
8935
43.8%
) 1863
 
9.1%
( 1863
 
9.1%
1 1732
 
8.5%
2 1065
 
5.2%
3 636
 
3.1%
4 616
 
3.0%
6 567
 
2.8%
5 540
 
2.6%
, 468
 
2.3%
Other values (9) 2124
 
10.4%
Latin
ValueCountFrequency (%)
B 5
83.3%
J 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29180
58.8%
ASCII 20415
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8935
43.8%
) 1863
 
9.1%
( 1863
 
9.1%
1 1732
 
8.5%
2 1065
 
5.2%
3 636
 
3.1%
4 616
 
3.0%
6 567
 
2.8%
5 540
 
2.6%
, 468
 
2.3%
Other values (11) 2130
 
10.4%
Hangul
ValueCountFrequency (%)
부 2331
 
8.0%
동 2327
 
8.0%
산 2215
 
7.6%
광 2054
 
7.0%
구 1916
 
6.6%
시 1854
 
6.4%
역 1814
 
6.2%
로 1774
 
6.1%
길 743
 
2.5%
번 713
 
2.4%
Other values (253) 11439
39.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)30.8%
Missing1717
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean320940.97
Minimum46015
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:31.436943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46501
Q147889
median49475
Q3608020
95-th percentile614844
Maximum619963
Range573948
Interquartile range (IQR)560131

Descriptive statistics

Standard deviation280203.68
Coefficient of variation (CV)0.87306921
Kurtosis-2.0047296
Mean320940.97
Median Absolute Deviation (MAD)3409
Skewness0.051167887
Sum1.6464272 × 108
Variance7.8514104 × 1010
MonotonicityNot monotonic
2024-04-22T04:15:31.851635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608020 58
 
2.6%
48981 35
 
1.6%
608090 34
 
1.5%
608040 18
 
0.8%
46501 12
 
0.5%
600046 12
 
0.5%
48980 11
 
0.5%
48266 10
 
0.4%
47286 10
 
0.4%
46066 8
 
0.4%
Other values (148) 305
 
13.7%
(Missing) 1717
77.0%
ValueCountFrequency (%)
46015 1
 
< 0.1%
46066 8
0.4%
46317 1
 
< 0.1%
46320 1
 
< 0.1%
46321 4
 
0.2%
46328 4
 
0.2%
46501 12
0.5%
46502 2
 
0.1%
46524 3
 
0.1%
46525 1
 
< 0.1%
ValueCountFrequency (%)
619963 1
 
< 0.1%
618807 1
 
< 0.1%
617831 1
 
< 0.1%
617807 6
0.3%
617806 1
 
< 0.1%
616852 4
0.2%
616817 2
 
0.1%
616802 1
 
< 0.1%
616801 2
 
0.1%
616091 1
 
< 0.1%

사업장명
Text

Distinct1626
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
2024-04-22T04:15:32.686276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.2843049
Min length1

Characters and Unicode

Total characters14014
Distinct characters507
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

Unique1352 ?
Unique (%)60.6%

Sample

1st row금성 성인오락랜드
2nd row황금 성인게임랜드
3rd row삼성 성인게임랜드
4th row팔도 GAMELAND
5th row팔도 GAMELAND
ValueCountFrequency (%)
게임랜드 425
 
14.9%
컴퓨터게임장 33
 
1.2%
게임장 30
 
1.1%
오락실 27
 
0.9%
스타 19
 
0.7%
스타게임랜드 19
 
0.7%
월드 14
 
0.5%
대박게임랜드 14
 
0.5%
노다지 12
 
0.4%
스카이게임랜드 11
 
0.4%
Other values (1528) 2240
78.8%
2024-04-22T04:15:33.953198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 1602
 
11.4%
게 1597
 
11.4%
드 1438
 
10.3%
랜 1277
 
9.1%
614
 
4.4%
스 324
 
2.3%
장 264
 
1.9%
오 198
 
1.4%
이 178
 
1.3%
터 170
 
1.2%
Other values (497) 6352
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12963
92.5%
Space Separator 614
 
4.4%
Uppercase Letter 258
 
1.8%
Decimal Number 119
 
0.8%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%
Other Punctuation 11
 
0.1%
Lowercase Letter 10
 
0.1%
Dash Punctuation 6
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 1602
 
12.4%
게 1597
 
12.3%
드 1438
 
11.1%
랜 1277
 
9.9%
스 324
 
2.5%
장 264
 
2.0%
오 198
 
1.5%
이 178
 
1.4%
터 170
 
1.3%
퓨 150
 
1.2%
Other values (448) 5765
44.5%
Uppercase Letter
ValueCountFrequency (%)
K 35
13.6%
M 22
 
8.5%
O 21
 
8.1%
G 17
 
6.6%
A 17
 
6.6%
N 17
 
6.6%
S 16
 
6.2%
C 14
 
5.4%
B 12
 
4.7%
L 11
 
4.3%
Other values (16) 76
29.5%
Decimal Number
ValueCountFrequency (%)
2 55
46.2%
0 17
 
14.3%
1 12
 
10.1%
3 11
 
9.2%
8 11
 
9.2%
6 4
 
3.4%
7 3
 
2.5%
5 3
 
2.5%
9 2
 
1.7%
4 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
i 2
20.0%
n 2
20.0%
r 1
 
10.0%
a 1
 
10.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
614
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
| 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12962
92.5%
Common 777
 
5.5%
Latin 274
 
2.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 1602
 
12.4%
게 1597
 
12.3%
드 1438
 
11.1%
랜 1277
 
9.9%
스 324
 
2.5%
장 264
 
2.0%
오 198
 
1.5%
이 178
 
1.4%
터 170
 
1.3%
퓨 150
 
1.2%
Other values (447) 5764
44.5%
Latin
ValueCountFrequency (%)
K 35
 
12.8%
M 22
 
8.0%
O 21
 
7.7%
G 17
 
6.2%
A 17
 
6.2%
N 17
 
6.2%
S 16
 
5.8%
C 14
 
5.1%
B 12
 
4.4%
L 11
 
4.0%
Other values (23) 92
33.6%
Common
ValueCountFrequency (%)
614
79.0%
2 55
 
7.1%
0 17
 
2.2%
) 12
 
1.5%
( 12
 
1.5%
1 12
 
1.5%
3 11
 
1.4%
8 11
 
1.4%
. 11
 
1.4%
- 6
 
0.8%
Other values (6) 16
 
2.1%
Han
ValueCountFrequency (%)
樂 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12962
92.5%
ASCII 1045
 
7.5%
Number Forms 6
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 1602
 
12.4%
게 1597
 
12.3%
드 1438
 
11.1%
랜 1277
 
9.9%
스 324
 
2.5%
장 264
 
2.0%
오 198
 
1.5%
이 178
 
1.4%
터 170
 
1.3%
퓨 150
 
1.2%
Other values (447) 5764
44.5%
ASCII
ValueCountFrequency (%)
614
58.8%
2 55
 
5.3%
K 35
 
3.3%
M 22
 
2.1%
O 21
 
2.0%
0 17
 
1.6%
G 17
 
1.6%
A 17
 
1.6%
N 17
 
1.6%
S 16
 
1.5%
Other values (37) 214
 
20.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2225
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.008927 × 1013
Minimum2.0021018 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:34.360846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0031014 × 1013
Q12.0070129 × 1013
median2.0080212 × 1013
Q32.0111227 × 1013
95-th percentile2.0191211 × 1013
Maximum2.0210331 × 1013
Range1.8931302 × 1011
Interquartile range (IQR)4.1098034 × 1010

Descriptive statistics

Standard deviation4.3855772 × 1010
Coefficient of variation (CV)0.0021830446
Kurtosis0.80710972
Mean2.008927 × 1013
Median Absolute Deviation (MAD)1.8991046 × 1010
Skewness1.189745
Sum4.4799072 × 1016
Variance1.9233288 × 1021
MonotonicityNot monotonic
2024-04-22T04:15:34.813588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018125445 6
 
0.3%
20201211154731 1
 
< 0.1%
20070629161456 1
 
< 0.1%
20080305155039 1
 
< 0.1%
20080520110103 1
 
< 0.1%
20070802141744 1
 
< 0.1%
20070614113656 1
 
< 0.1%
20070625141253 1
 
< 0.1%
20070814163231 1
 
< 0.1%
20070614114927 1
 
< 0.1%
Other values (2215) 2215
99.3%
ValueCountFrequency (%)
20021018125445 6
0.3%
20021108150607 1
 
< 0.1%
20021108150713 1
 
< 0.1%
20021108150748 1
 
< 0.1%
20021108150818 1
 
< 0.1%
20021212151121 1
 
< 0.1%
20021226163016 1
 
< 0.1%
20030102134147 1
 
< 0.1%
20030118103100 1
 
< 0.1%
20030128161101 1
 
< 0.1%
ValueCountFrequency (%)
20210331142603 1
< 0.1%
20210330160812 1
< 0.1%
20210318153631 1
< 0.1%
20210317162550 1
< 0.1%
20210316174143 1
< 0.1%
20210315175946 1
< 0.1%
20210312093230 1
< 0.1%
20210311175439 1
< 0.1%
20210225164543 1
< 0.1%
20210223125502 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
I
2082 
U
 
148

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2082
93.4%
U 148
 
6.6%

Length

2024-04-22T04:15:35.225724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:35.531502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2082
93.4%
u 148
 
6.6%

데이터갱신일자
Date

Distinct132
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-22T04:15:35.870827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:15:36.318252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1535
Distinct (%)74.2%
Missing161
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean388068.08
Minimum371180.38
Maximum407019.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:36.737010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371180.38
5-th percentile380231.93
Q1384701.09
median387656.54
Q3391345.89
95-th percentile397843.48
Maximum407019.63
Range35839.256
Interquartile range (IQR)6644.8051

Descriptive statistics

Standard deviation5163.4475
Coefficient of variation (CV)0.01330552
Kurtosis0.28675943
Mean388068.08
Median Absolute Deviation (MAD)3162.9353
Skewness0.40700476
Sum8.0291286 × 108
Variance26661190
MonotonicityNot monotonic
2024-04-22T04:15:37.176461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384768.319655951 15
 
0.7%
384786.897439657 11
 
0.5%
398159.324550037 9
 
0.4%
384740.974652998 7
 
0.3%
387507.602320431 7
 
0.3%
384677.260401258 7
 
0.3%
384689.176743442 6
 
0.3%
398330.516530402 6
 
0.3%
381787.461849428 6
 
0.3%
384709.387003462 6
 
0.3%
Other values (1525) 1989
89.2%
(Missing) 161
 
7.2%
ValueCountFrequency (%)
371180.37604943 2
0.1%
371525.457259634 1
< 0.1%
371626.256447439 1
< 0.1%
376007.808379321 1
< 0.1%
376013.312052013 1
< 0.1%
377477.951005412 1
< 0.1%
377543.350742027 1
< 0.1%
377930.473621362 1
< 0.1%
378576.070778977 1
< 0.1%
378588.965954049 1
< 0.1%
ValueCountFrequency (%)
407019.631629523 1
< 0.1%
407013.984544616 1
< 0.1%
407012.469380515 1
< 0.1%
403201.190571997 1
< 0.1%
403186.744629224 1
< 0.1%
403186.431834992 1
< 0.1%
403136.931905607 1
< 0.1%
403111.490963713 1
< 0.1%
402993.599064357 1
< 0.1%
401937.500075059 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1535
Distinct (%)74.2%
Missing161
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean186855.65
Minimum173951.8
Maximum205451.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:37.577963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173951.8
5-th percentile179046.79
Q1182211.02
median186869.9
Q3191147.9
95-th percentile194778.07
Maximum205451.47
Range31499.673
Interquartile range (IQR)8936.8863

Descriptive statistics

Standard deviation5324.5342
Coefficient of variation (CV)0.028495442
Kurtosis-0.56040932
Mean186855.65
Median Absolute Deviation (MAD)4396.6814
Skewness0.067986505
Sum3.8660433 × 108
Variance28350664
MonotonicityNot monotonic
2024-04-22T04:15:37.902995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179566.176779483 15
 
0.7%
179575.94945685 11
 
0.5%
188084.467737712 9
 
0.4%
179548.266774857 7
 
0.3%
185913.618007298 7
 
0.3%
179557.228245877 7
 
0.3%
179548.933069773 6
 
0.3%
187771.511373596 6
 
0.3%
191514.091668205 6
 
0.3%
179612.05593001 6
 
0.3%
Other values (1525) 1989
89.2%
(Missing) 161
 
7.2%
ValueCountFrequency (%)
173951.800373379 1
 
< 0.1%
174676.412428464 1
 
< 0.1%
174747.59093353 1
 
< 0.1%
174793.427536922 2
0.1%
174822.951508413 1
 
< 0.1%
174848.053190733 4
0.2%
174927.83035465 1
 
< 0.1%
175058.67819 1
 
< 0.1%
175201.028956516 1
 
< 0.1%
175239.644338168 1
 
< 0.1%
ValueCountFrequency (%)
205451.473566958 1
< 0.1%
205385.510037211 1
< 0.1%
205358.524519444 1
< 0.1%
204805.740046167 1
< 0.1%
204760.304165816 1
< 0.1%
204661.761497689 1
< 0.1%
204602.961623742 1
< 0.1%
199329.522633575 1
< 0.1%
198861.333382564 1
< 0.1%
198853.162958658 1
< 0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
게임제공업
1825 
일반게임제공업
405 

Length

Max length7
Median length5
Mean length5.3632287
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 1825
81.8%
일반게임제공업 405
 
18.2%

Length

2024-04-22T04:15:38.441414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:38.639642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 1825
81.8%
일반게임제공업 405
 
18.2%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
유통관련업
2230 

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 2230
100.0%

Length

2024-04-22T04:15:38.818439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:38.982320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 2230
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)2.3%
Missing1070
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean5.1689655
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:39.157403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile11
Maximum41
Range40
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6899793
Coefficient of variation (CV)0.71387191
Kurtosis15.260307
Mean5.1689655
Median Absolute Deviation (MAD)2
Skewness2.8166019
Sum5996
Variance13.615947
MonotonicityNot monotonic
2024-04-22T04:15:39.388317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 209
 
9.4%
5 200
 
9.0%
3 159
 
7.1%
2 116
 
5.2%
6 115
 
5.2%
1 104
 
4.7%
9 58
 
2.6%
7 54
 
2.4%
10 45
 
2.0%
8 30
 
1.3%
Other values (17) 70
 
3.1%
(Missing) 1070
48.0%
ValueCountFrequency (%)
1 104
4.7%
2 116
5.2%
3 159
7.1%
4 209
9.4%
5 200
9.0%
6 115
5.2%
7 54
 
2.4%
8 30
 
1.3%
9 58
 
2.6%
10 45
 
2.0%
ValueCountFrequency (%)
41 1
 
< 0.1%
32 1
 
< 0.1%
29 1
 
< 0.1%
27 1
 
< 0.1%
25 1
 
< 0.1%
24 2
0.1%
22 3
0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
18 4
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1478 
유흥업소밀집지역
342 
기타
293 
주택가주변
 
87
아파트지역
 
17
Other values (3)
 
13

Length

Max length8
Median length4
Mean length4.4192825
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1478
66.3%
유흥업소밀집지역 342
 
15.3%
기타 293
 
13.1%
주택가주변 87
 
3.9%
아파트지역 17
 
0.8%
학교정화(상대) 9
 
0.4%
결혼예식장주변 3
 
0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-22T04:15:39.634919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:39.861142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1478
66.3%
유흥업소밀집지역 342
 
15.3%
기타 293
 
13.1%
주택가주변 87
 
3.9%
아파트지역 17
 
0.8%
학교정화(상대 9
 
0.4%
결혼예식장주변 3
 
0.1%
학교정화(절대 1
 
< 0.1%

제작취급품목내용
Text

MISSING 

Distinct354
Distinct (%)99.7%
Missing1875
Missing (%)84.1%
Memory size17.5 KiB
2024-04-22T04:15:40.866163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length60
Mean length27.456338
Min length3

Characters and Unicode

Total characters9747
Distinct characters411
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)99.4%

Sample

1st row130대(황금도깨비 40대, 황금노다지 30대, 씨야포커3 30대, 칠복성포커 30대)
2nd row72대(로얄 고도리2 Ver. 2.04 2대, 용팔이구만 30대, 드래곤 하트 20대, 금맥 20대)
3rd row185대(징기스칸 20대, 학원전설 30대, 돈의시대 30대, 로얄 고도리 3 5대, 신 30대, NEW2080 포커 40대, 황금짱 30대)
4th row82대
5th row80대(돌아온루팡 20, 영웅문 3rd 의천도 20, 황금사자 20, 대항해 3rd
ValueCountFrequency (%)
20대 68
 
4.8%
30대 55
 
3.9%
포커 33
 
2.3%
10대 29
 
2.1%
50대 20
 
1.4%
40대 16
 
1.1%
20 13
 
0.9%
뉴 11
 
0.8%
2대 11
 
0.8%
30 9
 
0.6%
Other values (858) 1149
81.3%
2024-04-22T04:15:42.155965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1061
 
10.9%
0 770
 
7.9%
, 629
 
6.5%
대 474
 
4.9%
2 425
 
4.4%
( 396
 
4.1%
) 392
 
4.0%
포 294
 
3.0%
커 241
 
2.5%
1 240
 
2.5%
Other values (401) 4825
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4862
49.9%
Decimal Number 1917
 
19.7%
Space Separator 1061
 
10.9%
Other Punctuation 648
 
6.6%
Open Punctuation 396
 
4.1%
Close Punctuation 392
 
4.0%
Uppercase Letter 239
 
2.5%
Lowercase Letter 165
 
1.7%
Dash Punctuation 60
 
0.6%
Math Symbol 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 474
 
9.7%
포 294
 
6.0%
커 241
 
5.0%
스 169
 
3.5%
이 150
 
3.1%
드 100
 
2.1%
고 90
 
1.9%
리 79
 
1.6%
카 79
 
1.6%
천 60
 
1.2%
Other values (337) 3126
64.3%
Uppercase Letter
ValueCountFrequency (%)
C 36
15.1%
N 26
10.9%
E 25
10.5%
A 24
10.0%
R 19
7.9%
O 17
 
7.1%
P 16
 
6.7%
K 14
 
5.9%
S 9
 
3.8%
V 8
 
3.3%
Other values (12) 45
18.8%
Lowercase Letter
ValueCountFrequency (%)
r 26
15.8%
e 23
13.9%
a 15
 
9.1%
n 14
 
8.5%
d 11
 
6.7%
o 8
 
4.8%
t 7
 
4.2%
i 7
 
4.2%
s 7
 
4.2%
l 7
 
4.2%
Other values (11) 40
24.2%
Decimal Number
ValueCountFrequency (%)
0 770
40.2%
2 425
22.2%
1 240
 
12.5%
3 217
 
11.3%
5 88
 
4.6%
4 77
 
4.0%
8 33
 
1.7%
7 26
 
1.4%
9 24
 
1.3%
6 17
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 629
97.1%
. 17
 
2.6%
: 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
~ 2
50.0%
Space Separator
ValueCountFrequency (%)
1061
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4860
49.9%
Common 4480
46.0%
Latin 405
 
4.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 474
 
9.8%
포 294
 
6.0%
커 241
 
5.0%
스 169
 
3.5%
이 150
 
3.1%
드 100
 
2.1%
고 90
 
1.9%
리 79
 
1.6%
카 79
 
1.6%
천 60
 
1.2%
Other values (335) 3124
64.3%
Latin
ValueCountFrequency (%)
C 36
 
8.9%
N 26
 
6.4%
r 26
 
6.4%
E 25
 
6.2%
A 24
 
5.9%
e 23
 
5.7%
R 19
 
4.7%
O 17
 
4.2%
P 16
 
4.0%
a 15
 
3.7%
Other values (34) 178
44.0%
Common
ValueCountFrequency (%)
1061
23.7%
0 770
17.2%
, 629
14.0%
2 425
9.5%
( 396
 
8.8%
) 392
 
8.8%
1 240
 
5.4%
3 217
 
4.8%
5 88
 
2.0%
4 77
 
1.7%
Other values (10) 185
 
4.1%
Han
ValueCountFrequency (%)
神 1
50.0%
鬪 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4884
50.1%
Hangul 4860
49.9%
CJK 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1061
21.7%
0 770
15.8%
, 629
12.9%
2 425
8.7%
( 396
 
8.1%
) 392
 
8.0%
1 240
 
4.9%
3 217
 
4.4%
5 88
 
1.8%
4 77
 
1.6%
Other values (53) 589
12.1%
Hangul
ValueCountFrequency (%)
대 474
 
9.8%
포 294
 
6.0%
커 241
 
5.0%
스 169
 
3.5%
이 150
 
3.1%
드 100
 
2.1%
고 90
 
1.9%
리 79
 
1.6%
카 79
 
1.6%
천 60
 
1.2%
Other values (335) 3124
64.3%
CJK
ValueCountFrequency (%)
神 1
50.0%
鬪 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED 

Distinct1657
Distinct (%)85.4%
Missing290
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean248.62627
Minimum0
Maximum159348
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:42.396266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39.5835
Q187.9975
median137.16
Q3200.11
95-th percentile384.784
Maximum159348
Range159348
Interquartile range (IQR)112.1125

Descriptive statistics

Standard deviation3616.4007
Coefficient of variation (CV)14.545529
Kurtosis1934.906
Mean248.62627
Median Absolute Deviation (MAD)54.265
Skewness43.958856
Sum482334.97
Variance13078354
MonotonicityNot monotonic
2024-04-22T04:15:42.650620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 9
 
0.4%
66.0 9
 
0.4%
375.36 7
 
0.3%
0.0 6
 
0.3%
99.0 5
 
0.2%
234.61 5
 
0.2%
115.0 4
 
0.2%
138.0 4
 
0.2%
292.94 4
 
0.2%
160.0 4
 
0.2%
Other values (1647) 1883
84.4%
(Missing) 290
 
13.0%
ValueCountFrequency (%)
0.0 6
0.3%
11.7 1
 
< 0.1%
16.36 1
 
< 0.1%
17.0 1
 
< 0.1%
18.16 1
 
< 0.1%
20.16 1
 
< 0.1%
20.28 2
 
0.1%
21.82 1
 
< 0.1%
22.32 1
 
< 0.1%
22.77 1
 
< 0.1%
ValueCountFrequency (%)
159348.0 1
< 0.1%
1296.0 1
< 0.1%
1254.9 2
0.1%
1108.68 2
0.1%
1033.08 1
< 0.1%
956.17 1
< 0.1%
913.69 1
< 0.1%
909.78 1
< 0.1%
904.29 1
< 0.1%
839.31 1
< 0.1%

지상층수
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)1.3%
Missing728
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.9440746
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:42.879390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8.95
Maximum29
Range28
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9349263
Coefficient of variation (CV)0.99689265
Kurtosis11.216849
Mean2.9440746
Median Absolute Deviation (MAD)1
Skewness2.6514523
Sum4422
Variance8.6137923
MonotonicityNot monotonic
2024-04-22T04:15:43.076654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 700
31.4%
2 228
 
10.2%
4 135
 
6.1%
3 130
 
5.8%
5 98
 
4.4%
6 46
 
2.1%
8 46
 
2.1%
7 43
 
1.9%
10 22
 
1.0%
9 22
 
1.0%
Other values (10) 32
 
1.4%
(Missing) 728
32.6%
ValueCountFrequency (%)
1 700
31.4%
2 228
 
10.2%
3 130
 
5.8%
4 135
 
6.1%
5 98
 
4.4%
6 46
 
2.1%
7 43
 
1.9%
8 46
 
2.1%
9 22
 
1.0%
10 22
 
1.0%
ValueCountFrequency (%)
29 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
20 4
0.2%
16 1
 
< 0.1%
15 7
0.3%
14 1
 
< 0.1%
13 6
0.3%
12 5
0.2%
11 5
0.2%

지하층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.1%
Missing1570
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean1.2348485
Minimum0
Maximum6
Zeros12
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:43.264606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2.05
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.66633608
Coefficient of variation (CV)0.53960959
Kurtosis11.72009
Mean1.2348485
Median Absolute Deviation (MAD)0
Skewness2.9648514
Sum815
Variance0.44400377
MonotonicityNot monotonic
2024-04-22T04:15:43.441682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 532
 
23.9%
2 83
 
3.7%
3 20
 
0.9%
0 12
 
0.5%
4 9
 
0.4%
5 3
 
0.1%
6 1
 
< 0.1%
(Missing) 1570
70.4%
ValueCountFrequency (%)
0 12
 
0.5%
1 532
23.9%
2 83
 
3.7%
3 20
 
0.9%
4 9
 
0.4%
5 3
 
0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 3
 
0.1%
4 9
 
0.4%
3 20
 
0.9%
2 83
 
3.7%
1 532
23.9%
0 12
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1107 
근린생활시설
860 
판매시설
188 
기타
 
19
유통시설
 
16
Other values (9)
 
40

Length

Max length7
Median length4
Mean length4.7452915
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1107
49.6%
근린생활시설 860
38.6%
판매시설 188
 
8.4%
기타 19
 
0.9%
유통시설 16
 
0.7%
유기장 11
 
0.5%
호텔 10
 
0.4%
단독주택 4
 
0.2%
위험물저장시설 4
 
0.2%
숙박시설 4
 
0.2%
Other values (4) 7
 
0.3%

Length

2024-04-22T04:15:43.659934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1107
49.6%
근린생활시설 860
38.6%
판매시설 188
 
8.4%
기타 19
 
0.9%
유통시설 16
 
0.7%
유기장 11
 
0.5%
호텔 10
 
0.4%
단독주택 4
 
0.2%
위험물저장시설 4
 
0.2%
숙박시설 4
 
0.2%
Other values (4) 7
 
0.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)21.5%
Missing2039
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean54.458639
Minimum40
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:43.874011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q140
median45
Q350
95-th percentile116.35
Maximum237
Range197
Interquartile range (IQR)10

Descriptive statistics

Standard deviation32.000137
Coefficient of variation (CV)0.58760442
Kurtosis15.116614
Mean54.458639
Median Absolute Deviation (MAD)5
Skewness3.7187141
Sum10401.6
Variance1024.0088
MonotonicityNot monotonic
2024-04-22T04:15:44.112663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
40.0 54
 
2.4%
45.0 53
 
2.4%
42.0 24
 
1.1%
60.0 8
 
0.4%
43.0 7
 
0.3%
50.0 6
 
0.3%
69.0 2
 
0.1%
70.0 2
 
0.1%
41.0 2
 
0.1%
80.0 2
 
0.1%
Other values (31) 31
 
1.4%
(Missing) 2039
91.4%
ValueCountFrequency (%)
40.0 54
2.4%
40.7 1
 
< 0.1%
41.0 2
 
0.1%
42.0 24
1.1%
43.0 7
 
0.3%
45.0 53
2.4%
46.0 1
 
< 0.1%
50.0 6
 
0.3%
52.0 1
 
< 0.1%
53.5 1
 
< 0.1%
ValueCountFrequency (%)
237.0 1
< 0.1%
233.0 1
< 0.1%
200.0 1
< 0.1%
194.0 1
< 0.1%
183.1 1
< 0.1%
160.0 1
< 0.1%
142.0 1
< 0.1%
121.0 1
< 0.1%
119.2 1
< 0.1%
119.0 1
< 0.1%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct144
Distinct (%)23.1%
Missing1607
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean66.221509
Minimum1
Maximum405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2024-04-22T04:15:44.369840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.1
Q135
median54
Q390
95-th percentile143.6
Maximum405
Range404
Interquartile range (IQR)55

Descriptive statistics

Standard deviation47.846778
Coefficient of variation (CV)0.72252625
Kurtosis9.5980911
Mean66.221509
Median Absolute Deviation (MAD)25
Skewness2.3444552
Sum41256
Variance2289.3142
MonotonicityNot monotonic
2024-04-22T04:15:44.630375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 36
 
1.6%
40 31
 
1.4%
30 24
 
1.1%
60 23
 
1.0%
100 19
 
0.9%
80 15
 
0.7%
90 15
 
0.7%
35 14
 
0.6%
67 12
 
0.5%
20 12
 
0.5%
Other values (134) 422
 
18.9%
(Missing) 1607
72.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
9 2
 
0.1%
10 5
0.2%
11 2
 
0.1%
12 7
0.3%
13 3
 
0.1%
15 10
0.4%
16 4
 
0.2%
ValueCountFrequency (%)
405 1
< 0.1%
360 1
< 0.1%
308 1
< 0.1%
300 1
< 0.1%
299 1
< 0.1%
296 1
< 0.1%
255 1
< 0.1%
247 1
< 0.1%
236 1
< 0.1%
221 1
< 0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1809 
청소년이용불가
372 
전체이용가
 
28
전체이용가 및 청소년이용불가
 
21

Length

Max length15
Median length4
Mean length4.6165919
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1809
81.1%
청소년이용불가 372
 
16.7%
전체이용가 28
 
1.3%
전체이용가 및 청소년이용불가 21
 
0.9%

Length

2024-04-22T04:15:44.880267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:45.073075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1809
79.6%
청소년이용불가 393
 
17.3%
전체이용가 49
 
2.2%
및 21
 
0.9%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

지역구분명
Categorical

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1346 
일반상업지역
303 
상업지역
257 
준주거지역
135 
일반주거지역
 
80
Other values (5)
 
109

Length

Max length6
Median length4
Mean length4.4775785
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1346
60.4%
일반상업지역 303
 
13.6%
상업지역 257
 
11.5%
준주거지역 135
 
6.1%
일반주거지역 80
 
3.6%
중심상업지역 48
 
2.2%
근린상업지역 28
 
1.3%
주거지역 23
 
1.0%
준공업지역 8
 
0.4%
자연녹지지역 2
 
0.1%

Length

2024-04-22T04:15:45.298254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:15:45.533837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1346
60.4%
일반상업지역 303
 
13.6%
상업지역 257
 
11.5%
준주거지역 135
 
6.1%
일반주거지역 80
 
3.6%
중심상업지역 48
 
2.2%
근린상업지역 28
 
1.3%
주거지역 23
 
1.0%
준공업지역 8
 
0.4%
자연녹지지역 2
 
0.1%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2230
Missing (%)100.0%
Memory size19.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01일반게임제공업03_05_06_P3250000CDFF224113201900000120190109<NA>3폐업3폐업20201211<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 39-1부산광역시 중구 비프광장로 7, 지상5층 (부평동2가)48980금성 성인오락랜드20201211154731U2020-12-13 02:40:00.0<NA>384664.149883179582.676485일반게임제공업유통관련업<NA><NA>130대(황금도깨비 40대, 황금노다지 30대, 씨야포커3 30대, 칠복성포커 30대)271.62<NA><NA>판매시설<NA>90.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>130<NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
12일반게임제공업03_05_06_P3250000CDFF224113201900000420190503<NA>3폐업3폐업20200102<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 47-10번지부산광역시 중구 보수대로 18, 지하1층 (부평동2가)48980황금 성인게임랜드20200102153015U2020-01-04 02:40:00.0<NA>384599.803938179615.069591일반게임제공업유통관련업<NA><NA>72대(로얄 고도리2 Ver. 2.04 2대, 용팔이구만 30대, 드래곤 하트 20대, 금맥 20대)175.76<NA><NA>판매시설<NA>70.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>72<NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
23일반게임제공업03_05_06_P3250000CDFF224113201900000820190906<NA>3폐업3폐업20200420<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 99번지 아카데미빌딩부산광역시 중구 비프광장로 12, 아카데미빌딩 지상2층 (남포동6가)48981삼성 성인게임랜드20200420112321U2020-04-22 02:40:00.0<NA>384717.473282179565.899234일반게임제공업유통관련업<NA><NA>185대(징기스칸 20대, 학원전설 30대, 돈의시대 30대, 로얄 고도리 3 5대, 신 30대, NEW2080 포커 40대, 황금짱 30대)518.07<NA><NA>판매시설<NA>43.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>185<NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
34일반게임제공업03_05_06_P3250000CDFF224113201900000520190711<NA>3폐업3폐업20190808<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 102-2번지부산광역시 중구 비프광장로 8, 지상3층 (남포동6가)48981팔도 GAMELAND20190808141336U2019-08-10 02:40:00.0<NA>384677.260401179557.228246일반게임제공업유통관련업<NA><NA>82대139.6<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<NA>
45일반게임제공업03_05_06_P3250000CDFF224113201900000720190816<NA>3폐업3폐업20191022<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 102-2번지부산광역시 중구 비프광장로 8, 지상3층 (남포동6가)48981팔도 GAMELAND20191022170844U2019-10-24 02:40:00.0<NA>384677.260401179557.228246일반게임제공업유통관련업<NA><NA>80대(돌아온루팡 20, 영웅문 3rd 의천도 20, 황금사자 20, 대항해 3rd139.6<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<NA>
56일반게임제공업03_05_06_P3250000CDFF224113201900000920191122<NA>3폐업3폐업20201214<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 102-2부산광역시 중구 비프광장로 8, 지상3층 (남포동6가)48981팔도 GAMELAND20201214142518U2020-12-16 02:40:00.0<NA>384677.260401179557.228246일반게임제공업유통관련업<NA><NA>71대(1000년여왕 30대, 영웅문 3rd 의천도 20대, 대항해 3rd 해적왕3 포커 20대, 로얄 고도리2 Ver. 2.04 1대)139.6<NA><NA>판매시설<NA>73.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>71<NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
67일반게임제공업03_05_06_P3250000CDFF224113200900000120090925<NA>3폐업3폐업20110829<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동1가 41-2번지 외2필지, 지상2층 제공게임물 : 골드포커 100대부산광역시 중구 광복로12번길 9 (부평동1가,외2필지, 지상2층 제공게임물 : 골드포커 100대)<NA>노다지 게임랜드20110829131740I2018-08-31 23:59:59.0<NA>384709.387003179612.05593일반게임제공업유통관련업3<NA><NA>320.493<NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
78일반게임제공업03_05_06_P3250000CDFF224113201000000120100316<NA>3폐업3폐업20151228<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동2가 21-4번지 지상2층부산광역시 중구 남포길 22-1 (남포동2가)48953일번가 게임랜드20151228095926I2018-08-31 23:59:59.0<NA>385140.241108179611.544304일반게임제공업유통관련업4<NA>배리 인터레스팅 포커코리아2(AR-090522-001) 30대186.1831판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA><NA>
89일반게임제공업03_05_06_P3250000CDFF224113201000000220101101<NA>3폐업3폐업20110111<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 102-3번지 지상1층부산광역시 중구 구덕로84번길 9-1 (남포동6가,지상1층)<NA>오륙도20110111140127I2018-08-31 23:59:59.0<NA>384689.176743179548.93307일반게임제공업유통관련업5유흥업소밀집지역Blue Sky Star 25대, Marine Flash 25대188.041판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
910일반게임제공업03_05_06_P3250000CDFF224113201000000320101207<NA>3폐업3폐업20150721<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 91번지 지하1층(제공게임물:골드러쉬30대,파이어드래곤30대,점프몬30대)부산광역시 중구 비프광장로 지하 18 (남포동6가)600046자바 게임랜드20150722175003I2018-08-31 23:59:59.0<NA>384786.89744179575.949457일반게임제공업유통관련업9유흥업소밀집지역오션포카50대, 심심풀이 바둑이20대109.3981판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>일반상업지역<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
22202221일반게임제공업03_05_06_P3330000CDFF224101200400000520040311<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1609-25번지부산광역시 해운대구 재반로 243 (반여동)<NA>플빵20120515162105I2018-08-31 23:59:59.0<NA>394014.650568190928.419748게임제공업유통관련업4<NA><NA>161.5931근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역<NA>
22212222일반게임제공업03_05_06_P3330000CDFF224101200600001220060504<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 856-2번지부산광역시 해운대구 양운로 121-1 (좌동)<NA>빅스타 게임랜드20120515163428I2018-08-31 23:59:59.0<NA>397865.811015188176.269372게임제공업유통관련업6주택가주변<NA>117.04<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역<NA>
22222223일반게임제공업03_05_06_P3330000CDFF224101200600001320060508<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 358번지<NA><NA>황금성 게임랜드20120515163249I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업1아파트지역<NA>144.211<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역<NA>
22232224일반게임제공업03_05_06_P3330000CDFF224101200600001420060512<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1131-1번지부산광역시 해운대구 재반로 130-1 (재송동)<NA>킹 게임랜드20120515162855I2018-08-31 23:59:59.0<NA>393676.070884189923.453991게임제공업유통관련업4기타<NA>89.712<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역<NA>
22242225일반게임제공업03_05_06_P3330000CDFF224101200500000620050430<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1131-11번지부산광역시 해운대구 재반로 130 (재송동)<NA>사군자 게임랜드20120515162822I2018-08-31 23:59:59.0<NA>393667.861143189914.116722게임제공업유통관련업5기타<NA>137.625<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역<NA>
22252226일반게임제공업03_05_06_P3330000CDFF224101200500000720050503<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA>701-1005<NA><NA>부산광역시 해운대구 좌동 1479-3번지 세종월드 209호부산광역시 해운대구 해운대로 814, 209호 (좌동,세종월드)<NA>매직 게임랜드20120515163037I2018-08-31 23:59:59.0<NA>398330.51653187771.511374게임제공업유통관련업9<NA><NA>91.272근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22262227일반게임제공업03_05_06_P3330000CDFF224101200500001920050630<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA>051-784-9920<NA><NA>부산광역시 해운대구 반여동 1291-201번지 2층부산광역시 해운대구 재반로 240 (반여동,2층)<NA>보물창고 게임랜드20120515161751I2018-08-31 23:59:59.0<NA>394047.328919190900.937133게임제공업유통관련업5기타<NA>148.1741근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역<NA>
22272228일반게임제공업03_05_06_P3330000CDFF224101200500002420051018<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1315번지 삼정코아 1-4,2-4호부산광역시 해운대구 세실로 48 (좌동,삼정코아 1-4,2-4호)<NA>오션 파라다이스20120515162928I2018-08-31 23:59:59.0<NA>398407.043333187784.843934게임제공업유통관련업19아파트지역<NA>127.041<NA>위험물저장시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역<NA>
22282229일반게임제공업03_05_06_P3330000CDFF224101200500002520051028<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1206-44번지부산광역시 해운대구 선수촌로 97 (반여동)<NA>대왕 게임랜드20120515161354I2018-08-31 23:59:59.0<NA>392923.173026191317.922832게임제공업유통관련업4주택가주변<NA>155.6631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역<NA>
22292230일반게임제공업03_05_06_P3330000CDFF224101200500002720051107<NA>4취소/말소/만료/정지/중지35직권말소20120515<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1483-1번지부산광역시 해운대구 세실로27번길 17 (좌동)<NA>바다 이야기20120515163149I2018-08-31 23:59:59.0<NA>398377.770441187628.481758게임제공업유통관련업11아파트지역<NA>181.012<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역<NA>