Overview

Dataset statistics

Number of variables60
Number of observations140
Missing cells3709
Missing cells (%)44.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.4 KiB
Average record size in memory521.9 B

Variable types

Numeric15
Categorical18
Text6
Unsupported20
DateTime1

Dataset

Description2022-12-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123035

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 is highly imbalanced (68.0%)Imbalance
건물용도명 is highly imbalanced (50.3%)Imbalance
통로너비 is highly imbalanced (53.1%)Imbalance
노래방실수 is highly imbalanced (53.1%)Imbalance
청소년실수 is highly imbalanced (53.1%)Imbalance
지역구분명 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 130 (92.9%) missing valuesMissing
폐업일자 has 63 (45.0%) missing valuesMissing
휴업시작일자 has 140 (100.0%) missing valuesMissing
휴업종료일자 has 140 (100.0%) missing valuesMissing
재개업일자 has 140 (100.0%) missing valuesMissing
소재지전화 has 116 (82.9%) missing valuesMissing
소재지면적 has 140 (100.0%) missing valuesMissing
소재지우편번호 has 131 (93.6%) missing valuesMissing
도로명전체주소 has 5 (3.6%) missing valuesMissing
도로명우편번호 has 33 (23.6%) missing valuesMissing
업태구분명 has 140 (100.0%) missing valuesMissing
좌표정보(x) has 5 (3.6%) missing valuesMissing
좌표정보(y) has 5 (3.6%) missing valuesMissing
총층수 has 62 (44.3%) missing valuesMissing
시설면적 has 4 (2.9%) missing valuesMissing
지상층수 has 44 (31.4%) missing valuesMissing
조명시설조도 has 111 (79.3%) missing valuesMissing
비상계단여부 has 140 (100.0%) missing valuesMissing
비상구여부 has 140 (100.0%) missing valuesMissing
자동환기여부 has 140 (100.0%) missing valuesMissing
청소년실여부 has 140 (100.0%) missing valuesMissing
특수조명여부 has 140 (100.0%) missing valuesMissing
방음시설여부 has 140 (100.0%) missing valuesMissing
비디오재생기명 has 140 (100.0%) missing valuesMissing
조명시설유무 has 140 (100.0%) missing valuesMissing
음향시설여부 has 140 (100.0%) missing valuesMissing
편의시설여부 has 140 (100.0%) missing valuesMissing
소방시설여부 has 140 (100.0%) missing valuesMissing
총게임기수 has 86 (61.4%) missing valuesMissing
기존게임업외업종명 has 113 (80.7%) missing valuesMissing
공연장형태구분명 has 140 (100.0%) missing valuesMissing
품목명 has 140 (100.0%) missing valuesMissing
최초등록시점 has 140 (100.0%) missing valuesMissing
Unnamed: 59 has 140 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총층수 has 12 (8.6%) zerosZeros
지상층수 has 12 (8.6%) zerosZeros
조명시설조도 has 14 (10.0%) zerosZeros
총게임기수 has 3 (2.1%) zerosZeros

Reproduction

Analysis started2024-04-21 10:57:48.867059
Analysis finished2024-04-21 10:57:50.131157
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:57:50.440036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q135.75
median70.5
Q3105.25
95-th percentile133.05
Maximum140
Range139
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation40.5586
Coefficient of variation (CV)0.57529928
Kurtosis-1.2
Mean70.5
Median Absolute Deviation (MAD)35
Skewness0
Sum9870
Variance1645
MonotonicityStrictly increasing
2024-04-21T19:57:50.692394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
복합유통게임제공업
140 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 140
100.0%

Length

2024-04-21T19:57:50.937336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:57:51.106617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 140
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
03_05_04_P
140 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_04_P
2nd row03_05_04_P
3rd row03_05_04_P
4th row03_05_04_P
5th row03_05_04_P

Common Values

ValueCountFrequency (%)
03_05_04_P 140
100.0%

Length

2024-04-21T19:57:51.280691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:57:51.451885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 140
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325000
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:57:51.608561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3325000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation41785.681
Coefficient of variation (CV)0.012567122
Kurtosis-0.69960445
Mean3325000
Median Absolute Deviation (MAD)25000
Skewness0.15425387
Sum4.655 × 108
Variance1.7460432 × 109
MonotonicityIncreasing
2024-04-21T19:57:51.890183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 21
15.0%
3340000 15
10.7%
3310000 14
10.0%
3330000 13
9.3%
3350000 13
9.3%
3300000 13
9.3%
3400000 11
7.9%
3250000 10
7.1%
3380000 7
 
5.0%
3390000 6
 
4.3%
Other values (6) 17
12.1%
ValueCountFrequency (%)
3250000 10
7.1%
3260000 2
 
1.4%
3270000 2
 
1.4%
3280000 3
 
2.1%
3290000 21
15.0%
3300000 13
9.3%
3310000 14
10.0%
3320000 5
 
3.6%
3330000 13
9.3%
3340000 15
10.7%
ValueCountFrequency (%)
3400000 11
7.9%
3390000 6
 
4.3%
3380000 7
5.0%
3370000 3
 
2.1%
3360000 2
 
1.4%
3350000 13
9.3%
3340000 15
10.7%
3330000 13
9.3%
3320000 5
 
3.6%
3310000 14
10.0%

관리번호
Text

Distinct51
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T19:57:52.591662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2800
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

Unique14 ?
Unique (%)10.0%

Sample

1st rowCDFF2241032003000001
2nd rowCDFF2241032008000001
3rd rowCDFF2241032015000001
4th rowCDFF2241032017000002
5th rowCDFF2241032017000003
ValueCountFrequency (%)
cdff2241032017000001 8
 
5.7%
cdff2241032013000001 8
 
5.7%
cdff2241032009000001 7
 
5.0%
cdff2241032019000001 6
 
4.3%
cdff2241032008000001 6
 
4.3%
cdff2241032018000001 6
 
4.3%
cdff2241032011000001 5
 
3.6%
cdff2241032020000001 5
 
3.6%
cdff2241032010000001 5
 
3.6%
cdff2241032016000001 4
 
2.9%
Other values (41) 80
57.1%
2024-04-21T19:57:53.507358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1033
36.9%
2 469
16.8%
1 326
 
11.6%
F 280
 
10.0%
3 168
 
6.0%
4 154
 
5.5%
C 140
 
5.0%
D 140
 
5.0%
9 34
 
1.2%
8 20
 
0.7%
Other values (3) 36
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2240
80.0%
Uppercase Letter 560
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1033
46.1%
2 469
20.9%
1 326
 
14.6%
3 168
 
7.5%
4 154
 
6.9%
9 34
 
1.5%
8 20
 
0.9%
7 19
 
0.8%
5 10
 
0.4%
6 7
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 280
50.0%
C 140
25.0%
D 140
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2240
80.0%
Latin 560
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1033
46.1%
2 469
20.9%
1 326
 
14.6%
3 168
 
7.5%
4 154
 
6.9%
9 34
 
1.5%
8 20
 
0.9%
7 19
 
0.8%
5 10
 
0.4%
6 7
 
0.3%
Latin
ValueCountFrequency (%)
F 280
50.0%
C 140
25.0%
D 140
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1033
36.9%
2 469
16.8%
1 326
 
11.6%
F 280
 
10.0%
3 168
 
6.0%
4 154
 
5.5%
C 140
 
5.0%
D 140
 
5.0%
9 34
 
1.2%
8 20
 
0.7%
Other values (3) 36
 
1.3%

인허가일자
Real number (ℝ)

Distinct134
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20137257
Minimum20020111
Maximum20220719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:57:53.757354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020111
5-th percentile20040310
Q120097893
median20140556
Q320181052
95-th percentile20200824
Maximum20220719
Range200608
Interquartile range (IQR)83158.75

Descriptive statistics

Standard deviation52088.617
Coefficient of variation (CV)0.0025866788
Kurtosis-0.79064033
Mean20137257
Median Absolute Deviation (MAD)40546.5
Skewness-0.46895217
Sum2.819216 × 109
Variance2.713224 × 109
MonotonicityNot monotonic
2024-04-21T19:57:54.021004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 3
 
2.1%
20190419 2
 
1.4%
20021204 2
 
1.4%
20020111 2
 
1.4%
20090113 2
 
1.4%
20140710 1
 
0.7%
20080902 1
 
0.7%
20100209 1
 
0.7%
20090714 1
 
0.7%
20120511 1
 
0.7%
Other values (124) 124
88.6%
ValueCountFrequency (%)
20020111 2
1.4%
20021204 2
1.4%
20030708 1
0.7%
20031209 1
0.7%
20040129 1
0.7%
20040319 1
0.7%
20040501 1
0.7%
20040709 1
0.7%
20050223 1
0.7%
20050520 1
0.7%
ValueCountFrequency (%)
20220719 1
0.7%
20220714 1
0.7%
20210908 1
0.7%
20210714 1
0.7%
20210514 1
0.7%
20200928 1
0.7%
20200828 1
0.7%
20200824 1
0.7%
20200723 1
0.7%
20200224 1
0.7%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing130
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean20127679
Minimum20090921
Maximum20160928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:57:54.246112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090921
5-th percentile20095196
Q120100911
median20120718
Q320160392
95-th percentile20160744
Maximum20160928
Range70007
Interquartile range (IQR)59480.75

Descriptive statistics

Standard deviation31114.084
Coefficient of variation (CV)0.0015458356
Kurtosis-2.3374728
Mean20127679
Median Absolute Deviation (MAD)25047
Skewness0.078698398
Sum2.0127679 × 108
Variance9.680862 × 108
MonotonicityNot monotonic
2024-04-21T19:57:54.445461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20100921 1
 
0.7%
20100908 1
 
0.7%
20140310 1
 
0.7%
20160415 1
 
0.7%
20160519 1
 
0.7%
20160928 1
 
0.7%
20101125 1
 
0.7%
20090921 1
 
0.7%
20100420 1
 
0.7%
20160323 1
 
0.7%
(Missing) 130
92.9%
ValueCountFrequency (%)
20090921 1
0.7%
20100420 1
0.7%
20100908 1
0.7%
20100921 1
0.7%
20101125 1
0.7%
20140310 1
0.7%
20160323 1
0.7%
20160415 1
0.7%
20160519 1
0.7%
20160928 1
0.7%
ValueCountFrequency (%)
20160928 1
0.7%
20160519 1
0.7%
20160415 1
0.7%
20160323 1
0.7%
20140310 1
0.7%
20101125 1
0.7%
20100921 1
0.7%
20100908 1
0.7%
20100420 1
0.7%
20090921 1
0.7%

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
70 
1
53 
4
17 

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 70
50.0%
1 53
37.9%
4 17
 
12.1%

Length

2024-04-21T19:57:54.664929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:57:54.843824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 70
50.0%
1 53
37.9%
4 17
 
12.1%

영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
70 
영업/정상
53 
취소/말소/만료/정지/중지
17 

Length

Max length14
Median length9.5
Mean length4.5928571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 70
50.0%
영업/정상 53
37.9%
취소/말소/만료/정지/중지 17
 
12.1%

Length

2024-04-21T19:57:55.041976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:57:55.232131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 70
50.0%
영업/정상 53
37.9%
취소/말소/만료/정지/중지 17
 
12.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
70 
13
53 
31
10 
35
 
7

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 70
50.0%
13 53
37.9%
31 10
 
7.1%
35 7
 
5.0%

Length

2024-04-21T19:57:55.430805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:57:55.619800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 70
50.0%
13 53
37.9%
31 10
 
7.1%
35 7
 
5.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
70 
영업중
53 
등록취소
10 
직권말소
 
7

Length

Max length4
Median length3.5
Mean length2.6214286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 70
50.0%
영업중 53
37.9%
등록취소 10
 
7.1%
직권말소 7
 
5.0%

Length

2024-04-21T19:57:55.852189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:57:56.063270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 70
50.0%
영업중 53
37.9%
등록취소 10
 
7.1%
직권말소 7
 
5.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)97.4%
Missing63
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean20153357
Minimum20050304
Maximum20221006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:57:56.279201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050304
5-th percentile20068551
Q120120907
median20160119
Q320191025
95-th percentile20220345
Maximum20221006
Range170702
Interquartile range (IQR)70118

Descriptive statistics

Standard deviation48199.377
Coefficient of variation (CV)0.0023916302
Kurtosis-0.85044215
Mean20153357
Median Absolute Deviation (MAD)39110
Skewness-0.36202205
Sum1.5518085 × 109
Variance2.3231799 × 109
MonotonicityNot monotonic
2024-04-21T19:57:56.542061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150428 2
 
1.4%
20140321 2
 
1.4%
20140526 1
 
0.7%
20160429 1
 
0.7%
20161223 1
 
0.7%
20050602 1
 
0.7%
20050304 1
 
0.7%
20210413 1
 
0.7%
20131223 1
 
0.7%
20110518 1
 
0.7%
Other values (65) 65
46.4%
(Missing) 63
45.0%
ValueCountFrequency (%)
20050304 1
0.7%
20050602 1
0.7%
20060706 1
0.7%
20060724 1
0.7%
20070508 1
0.7%
20080422 1
0.7%
20080714 1
0.7%
20080820 1
0.7%
20081230 1
0.7%
20090317 1
0.7%
ValueCountFrequency (%)
20221006 1
0.7%
20220720 1
0.7%
20220707 1
0.7%
20220427 1
0.7%
20220324 1
0.7%
20220316 1
0.7%
20220222 1
0.7%
20211220 1
0.7%
20211215 1
0.7%
20210831 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소재지전화
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing116
Missing (%)82.9%
Memory size1.2 KiB
2024-04-21T19:57:57.191511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.25
Min length8

Characters and Unicode

Total characters222
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row231-2929
2nd row051-254-7373
3rd row466-4520
4th row415-3752
5th row815-5050
ValueCountFrequency (%)
051-626-0632 1
 
4.2%
051-254-7373 1
 
4.2%
051-626-1178 1
 
4.2%
0517314410 1
 
4.2%
514-5582 1
 
4.2%
051-582-2525 1
 
4.2%
516-3737 1
 
4.2%
293-2654 1
 
4.2%
264-4640 1
 
4.2%
051-749-2611 1
 
4.2%
Other values (14) 14
58.3%
2024-04-21T19:57:58.053879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30
13.5%
5 27
12.2%
2 27
12.2%
1 25
11.3%
6 24
10.8%
0 19
8.6%
8 17
7.7%
4 16
7.2%
7 16
7.2%
3 13
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
86.5%
Dash Punctuation 30
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 27
14.1%
2 27
14.1%
1 25
13.0%
6 24
12.5%
0 19
9.9%
8 17
8.9%
4 16
8.3%
7 16
8.3%
3 13
6.8%
9 8
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 30
13.5%
5 27
12.2%
2 27
12.2%
1 25
11.3%
6 24
10.8%
0 19
8.6%
8 17
7.7%
4 16
7.2%
7 16
7.2%
3 13
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30
13.5%
5 27
12.2%
2 27
12.2%
1 25
11.3%
6 24
10.8%
0 19
8.6%
8 17
7.7%
4 16
7.2%
7 16
7.2%
3 13
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing131
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean607286.44
Minimum600046
Maximum616852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:57:58.246463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600046
5-th percentile600431.6
Q1602011
median604080
Q3612842
95-th percentile616050
Maximum616852
Range16806
Interquartile range (IQR)10831

Descriptive statistics

Standard deviation6389.1183
Coefficient of variation (CV)0.010520766
Kurtosis-1.6897454
Mean607286.44
Median Absolute Deviation (MAD)4034
Skewness0.40356676
Sum5465578
Variance40820833
MonotonicityNot monotonic
2024-04-21T19:57:58.435593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
600046 1
 
0.7%
602011 1
 
0.7%
601010 1
 
0.7%
614847 1
 
0.7%
616852 1
 
0.7%
612842 1
 
0.7%
604040 1
 
0.7%
604080 1
 
0.7%
609850 1
 
0.7%
(Missing) 131
93.6%
ValueCountFrequency (%)
600046 1
0.7%
601010 1
0.7%
602011 1
0.7%
604040 1
0.7%
604080 1
0.7%
609850 1
0.7%
612842 1
0.7%
614847 1
0.7%
616852 1
0.7%
ValueCountFrequency (%)
616852 1
0.7%
614847 1
0.7%
612842 1
0.7%
609850 1
0.7%
604080 1
0.7%
604040 1
0.7%
602011 1
0.7%
601010 1
0.7%
600046 1
0.7%

소재지전체주소
Text

Distinct134
Distinct (%)96.4%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-04-21T19:57:59.458146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length23.690647
Min length17

Characters and Unicode

Total characters3293
Distinct characters149
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)92.8%

Sample

1st row부산광역시 중구 남포동6가 97-2번지
2nd row부산광역시 중구 광복동3가 1-3번지
3rd row부산광역시 중구 창선동1가 12-1번지
4th row부산광역시 중구 남포동5가 24-1
5th row부산광역시 중구 창선동2가 46-3번지
ValueCountFrequency (%)
부산광역시 139
 
21.9%
부산진구 21
 
3.3%
사하구 15
 
2.4%
부전동 14
 
2.2%
남구 14
 
2.2%
동래구 13
 
2.0%
해운대구 13
 
2.0%
금정구 13
 
2.0%
대연동 12
 
1.9%
기장군 11
 
1.7%
Other values (247) 371
58.3%
2024-04-21T19:58:00.720158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
497
 
15.1%
부 177
 
5.4%
산 166
 
5.0%
동 148
 
4.5%
광 145
 
4.4%
1 141
 
4.3%
시 141
 
4.3%
역 139
 
4.2%
- 134
 
4.1%
구 129
 
3.9%
Other values (139) 1476
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1964
59.6%
Decimal Number 675
 
20.5%
Space Separator 497
 
15.1%
Dash Punctuation 134
 
4.1%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 177
 
9.0%
산 166
 
8.5%
동 148
 
7.5%
광 145
 
7.4%
시 141
 
7.2%
역 139
 
7.1%
구 129
 
6.6%
지 117
 
6.0%
번 104
 
5.3%
층 31
 
1.6%
Other values (119) 667
34.0%
Decimal Number
ValueCountFrequency (%)
1 141
20.9%
2 97
14.4%
5 78
11.6%
3 78
11.6%
4 73
10.8%
6 48
 
7.1%
0 46
 
6.8%
7 44
 
6.5%
8 39
 
5.8%
9 31
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
Y 1
25.0%
X 1
25.0%
Space Separator
ValueCountFrequency (%)
497
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1964
59.6%
Common 1324
40.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 177
 
9.0%
산 166
 
8.5%
동 148
 
7.5%
광 145
 
7.4%
시 141
 
7.2%
역 139
 
7.1%
구 129
 
6.6%
지 117
 
6.0%
번 104
 
5.3%
층 31
 
1.6%
Other values (119) 667
34.0%
Common
ValueCountFrequency (%)
497
37.5%
1 141
 
10.6%
- 134
 
10.1%
2 97
 
7.3%
5 78
 
5.9%
3 78
 
5.9%
4 73
 
5.5%
6 48
 
3.6%
0 46
 
3.5%
7 44
 
3.3%
Other values (6) 88
 
6.6%
Latin
ValueCountFrequency (%)
B 2
40.0%
Ⅱ 1
20.0%
Y 1
20.0%
X 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1964
59.6%
ASCII 1328
40.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
497
37.4%
1 141
 
10.6%
- 134
 
10.1%
2 97
 
7.3%
5 78
 
5.9%
3 78
 
5.9%
4 73
 
5.5%
6 48
 
3.6%
0 46
 
3.5%
7 44
 
3.3%
Other values (9) 92
 
6.9%
Hangul
ValueCountFrequency (%)
부 177
 
9.0%
산 166
 
8.5%
동 148
 
7.5%
광 145
 
7.4%
시 141
 
7.2%
역 139
 
7.1%
구 129
 
6.6%
지 117
 
6.0%
번 104
 
5.3%
층 31
 
1.6%
Other values (119) 667
34.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct133
Distinct (%)98.5%
Missing5
Missing (%)3.6%
Memory size1.2 KiB
2024-04-21T19:58:01.678789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length29.325926
Min length20

Characters and Unicode

Total characters3959
Distinct characters189
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)97.0%

Sample

1st row부산광역시 중구 비프광장로 12 (남포동6가)
2nd row부산광역시 중구 비프광장로 25 (남포동3가)
3rd row부산광역시 중구 광복로39번길 6 (창선동1가)
4th row부산광역시 중구 비프광장로 28, 2층 (남포동5가)
5th row부산광역시 중구 광복로 34-1, 지상1층 (창선동2가)
ValueCountFrequency (%)
부산광역시 135
 
17.1%
2층 22
 
2.8%
부산진구 21
 
2.7%
남구 14
 
1.8%
금정구 13
 
1.6%
해운대구 13
 
1.6%
동래구 13
 
1.6%
사하구 13
 
1.6%
대연동 12
 
1.5%
기장군 11
 
1.4%
Other values (303) 521
66.1%
2024-04-21T19:58:03.169019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
 
17.0%
부 177
 
4.5%
산 167
 
4.2%
동 158
 
4.0%
광 151
 
3.8%
시 142
 
3.6%
역 135
 
3.4%
로 134
 
3.4%
구 132
 
3.3%
( 127
 
3.2%
Other values (179) 1964
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2352
59.4%
Space Separator 672
 
17.0%
Decimal Number 559
 
14.1%
Open Punctuation 127
 
3.2%
Close Punctuation 127
 
3.2%
Other Punctuation 100
 
2.5%
Dash Punctuation 13
 
0.3%
Uppercase Letter 7
 
0.2%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 177
 
7.5%
산 167
 
7.1%
동 158
 
6.7%
광 151
 
6.4%
시 142
 
6.0%
역 135
 
5.7%
로 134
 
5.7%
구 132
 
5.6%
층 78
 
3.3%
대 62
 
2.6%
Other values (156) 1016
43.2%
Decimal Number
ValueCountFrequency (%)
1 118
21.1%
2 88
15.7%
3 60
10.7%
4 52
9.3%
0 51
9.1%
5 46
 
8.2%
6 42
 
7.5%
8 36
 
6.4%
9 34
 
6.1%
7 32
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
P 1
14.3%
A 1
14.3%
X 1
14.3%
Y 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
672
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2352
59.4%
Common 1599
40.4%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 177
 
7.5%
산 167
 
7.1%
동 158
 
6.7%
광 151
 
6.4%
시 142
 
6.0%
역 135
 
5.7%
로 134
 
5.7%
구 132
 
5.6%
층 78
 
3.3%
대 62
 
2.6%
Other values (156) 1016
43.2%
Common
ValueCountFrequency (%)
672
42.0%
( 127
 
7.9%
) 127
 
7.9%
1 118
 
7.4%
, 100
 
6.3%
2 88
 
5.5%
3 60
 
3.8%
4 52
 
3.3%
0 51
 
3.2%
5 46
 
2.9%
Other values (6) 158
 
9.9%
Latin
ValueCountFrequency (%)
B 2
25.0%
P 1
12.5%
A 1
12.5%
Ⅱ 1
12.5%
X 1
12.5%
Y 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2352
59.4%
ASCII 1606
40.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
41.8%
( 127
 
7.9%
) 127
 
7.9%
1 118
 
7.3%
, 100
 
6.2%
2 88
 
5.5%
3 60
 
3.7%
4 52
 
3.2%
0 51
 
3.2%
5 46
 
2.9%
Other values (12) 165
 
10.3%
Hangul
ValueCountFrequency (%)
부 177
 
7.5%
산 167
 
7.1%
동 158
 
6.7%
광 151
 
6.4%
시 142
 
6.0%
역 135
 
5.7%
로 134
 
5.7%
구 132
 
5.6%
층 78
 
3.3%
대 62
 
2.6%
Other values (156) 1016
43.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)67.3%
Missing33
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean137024.58
Minimum46008
Maximum617807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:03.401554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46048
Q147213
median48079
Q349027.5
95-th percentile612821
Maximum617807
Range571799
Interquartile range (IQR)1814.5

Descriptive statistics

Standard deviation206508.75
Coefficient of variation (CV)1.5070928
Kurtosis1.614983
Mean137024.58
Median Absolute Deviation (MAD)902
Skewness1.8932121
Sum14661630
Variance4.2645865 × 1010
MonotonicityNot monotonic
2024-04-21T19:58:03.638322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608020 4
 
2.9%
47295 3
 
2.1%
48498 3
 
2.1%
47866 3
 
2.1%
47837 3
 
2.1%
48512 3
 
2.1%
48981 3
 
2.1%
48953 3
 
2.1%
617807 2
 
1.4%
46023 2
 
1.4%
Other values (62) 78
55.7%
(Missing) 33
23.6%
ValueCountFrequency (%)
46008 1
0.7%
46015 1
0.7%
46019 1
0.7%
46023 2
1.4%
46048 2
1.4%
46056 1
0.7%
46061 2
1.4%
46067 1
0.7%
46220 1
0.7%
46288 2
1.4%
ValueCountFrequency (%)
617807 2
1.4%
616852 1
 
0.7%
614847 1
 
0.7%
613011 1
 
0.7%
612821 2
1.4%
608090 1
 
0.7%
608040 1
 
0.7%
608020 4
2.9%
604852 1
 
0.7%
604851 1
 
0.7%

사업장명
Text

Distinct138
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T19:58:04.451152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.0285714
Min length2

Characters and Unicode

Total characters1124
Distinct characters231
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)97.1%

Sample

1st row아카데미PC.PS
2nd row인터밀리언 남포점 2
3rd rowFunit
4th row3POP PC CAFE
5th row토이뽑기랜드
ValueCountFrequency (%)
pc 10
 
4.5%
pc방 7
 
3.2%
게임랜드 5
 
2.3%
아이센스리그pc방 4
 
1.8%
멀티방 3
 
1.4%
안락점 3
 
1.4%
cafe 3
 
1.4%
아케이드코리아 2
 
0.9%
카페 2
 
0.9%
주식회사 2
 
0.9%
Other values (171) 181
81.5%
2024-04-21T19:58:05.514090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
7.3%
P 61
 
5.4%
C 60
 
5.3%
점 36
 
3.2%
이 32
 
2.8%
드 31
 
2.8%
방 31
 
2.8%
스 29
 
2.6%
임 28
 
2.5%
게 27
 
2.4%
Other values (221) 707
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 788
70.1%
Uppercase Letter 192
 
17.1%
Space Separator 82
 
7.3%
Lowercase Letter 27
 
2.4%
Decimal Number 21
 
1.9%
Other Punctuation 6
 
0.5%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 36
 
4.6%
이 32
 
4.1%
드 31
 
3.9%
방 31
 
3.9%
스 29
 
3.7%
임 28
 
3.6%
게 27
 
3.4%
랜 26
 
3.3%
아 21
 
2.7%
리 18
 
2.3%
Other values (170) 509
64.6%
Uppercase Letter
ValueCountFrequency (%)
P 61
31.8%
C 60
31.2%
O 9
 
4.7%
A 8
 
4.2%
E 6
 
3.1%
L 6
 
3.1%
T 5
 
2.6%
X 4
 
2.1%
S 4
 
2.1%
M 4
 
2.1%
Other values (12) 25
13.0%
Lowercase Letter
ValueCountFrequency (%)
a 6
22.2%
e 4
14.8%
n 3
11.1%
t 2
 
7.4%
c 2
 
7.4%
d 1
 
3.7%
p 1
 
3.7%
s 1
 
3.7%
f 1
 
3.7%
g 1
 
3.7%
Other values (5) 5
18.5%
Decimal Number
ValueCountFrequency (%)
2 7
33.3%
0 4
19.0%
1 3
14.3%
3 2
 
9.5%
9 2
 
9.5%
6 2
 
9.5%
7 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 2
33.3%
& 2
33.3%
· 1
16.7%
＆ 1
16.7%
Space Separator
ValueCountFrequency (%)
82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 788
70.1%
Latin 219
 
19.5%
Common 117
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 36
 
4.6%
이 32
 
4.1%
드 31
 
3.9%
방 31
 
3.9%
스 29
 
3.7%
임 28
 
3.6%
게 27
 
3.4%
랜 26
 
3.3%
아 21
 
2.7%
리 18
 
2.3%
Other values (170) 509
64.6%
Latin
ValueCountFrequency (%)
P 61
27.9%
C 60
27.4%
O 9
 
4.1%
A 8
 
3.7%
E 6
 
2.7%
L 6
 
2.7%
a 6
 
2.7%
T 5
 
2.3%
X 4
 
1.8%
S 4
 
1.8%
Other values (27) 50
22.8%
Common
ValueCountFrequency (%)
82
70.1%
2 7
 
6.0%
0 4
 
3.4%
( 4
 
3.4%
) 4
 
3.4%
1 3
 
2.6%
3 2
 
1.7%
. 2
 
1.7%
9 2
 
1.7%
6 2
 
1.7%
Other values (4) 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 788
70.1%
ASCII 334
29.7%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
24.6%
P 61
18.3%
C 60
18.0%
O 9
 
2.7%
A 8
 
2.4%
2 7
 
2.1%
E 6
 
1.8%
L 6
 
1.8%
a 6
 
1.8%
T 5
 
1.5%
Other values (39) 84
25.1%
Hangul
ValueCountFrequency (%)
점 36
 
4.6%
이 32
 
4.1%
드 31
 
3.9%
방 31
 
3.9%
스 29
 
3.7%
임 28
 
3.6%
게 27
 
3.4%
랜 26
 
3.3%
아 21
 
2.7%
리 18
 
2.3%
Other values (170) 509
64.6%
None
ValueCountFrequency (%)
· 1
50.0%
＆ 1
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167006 × 1013
Minimum2.0050304 × 1013
Maximum2.0221021 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:05.757017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0050304 × 1013
5-th percentile2.0090307 × 1013
Q12.014032 × 1013
median2.0180264 × 1013
Q32.0200535 × 1013
95-th percentile2.0221008 × 1013
Maximum2.0221021 × 1013
Range1.7071701 × 1011
Interquartile range (IQR)6.0214207 × 1010

Descriptive statistics

Standard deviation4.2277981 × 1010
Coefficient of variation (CV)0.0020963936
Kurtosis-0.57630459
Mean2.0167006 × 1013
Median Absolute Deviation (MAD)2.9999489 × 1010
Skewness-0.60109916
Sum2.8233808 × 1015
Variance1.7874277 × 1021
MonotonicityNot monotonic
2024-04-21T19:58:06.229539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080820165417 1
 
0.7%
20101126164038 1
 
0.7%
20140925154641 1
 
0.7%
20190709114832 1
 
0.7%
20140324150127 1
 
0.7%
20160415172330 1
 
0.7%
20160531175959 1
 
0.7%
20161130163115 1
 
0.7%
20221007075219 1
 
0.7%
20190614150233 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
20050304101332 1
0.7%
20070502113852 1
0.7%
20080422101838 1
0.7%
20080714100249 1
0.7%
20080807112910 1
0.7%
20080820165417 1
0.7%
20090102094507 1
0.7%
20090318155408 1
0.7%
20090916115858 1
0.7%
20090921152255 1
0.7%
ValueCountFrequency (%)
20221021114550 1
0.7%
20221021114502 1
0.7%
20221021092122 1
0.7%
20221021092038 1
0.7%
20221021091934 1
0.7%
20221021091830 1
0.7%
20221021091725 1
0.7%
20221007075219 1
0.7%
20220721143619 1
0.7%
20220719175542 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
87 
U
53 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 87
62.1%
U 53
37.9%

Length

2024-04-21T19:58:06.472534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:06.644695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 87
62.1%
u 53
37.9%

데이터갱신일자
Date

Distinct59
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-23 02:40:00
2024-04-21T19:58:06.838441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:58:07.092387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)93.3%
Missing5
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean388708.05
Minimum373329.16
Maximum401701.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:07.345497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373329.16
5-th percentile379367.26
Q1384894.21
median388480.3
Q3391727.98
95-th percentile398329.12
Maximum401701.76
Range28372.593
Interquartile range (IQR)6833.7655

Descriptive statistics

Standard deviation5854.5725
Coefficient of variation (CV)0.015061619
Kurtosis-0.057175655
Mean388708.05
Median Absolute Deviation (MAD)3444.7383
Skewness-0.022520803
Sum52475587
Variance34276019
MonotonicityNot monotonic
2024-04-21T19:58:07.590044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396716.962927416 3
 
2.1%
391066.008148716 2
 
1.4%
387271.299492377 2
 
1.4%
379460.187336962 2
 
1.4%
382882.278858745 2
 
1.4%
391327.195329591 2
 
1.4%
389711.868260246 2
 
1.4%
384871.0192493 2
 
1.4%
389969.69990631 1
 
0.7%
380111.186758594 1
 
0.7%
Other values (116) 116
82.9%
(Missing) 5
 
3.6%
ValueCountFrequency (%)
373329.16312947 1
0.7%
373507.105636045 1
0.7%
379110.687036291 1
0.7%
379230.407334677 1
0.7%
379248.867134383 1
0.7%
379249.972825175 1
0.7%
379307.695818585 1
0.7%
379392.794002776 1
0.7%
379460.187336962 2
1.4%
379461.859303267 1
0.7%
ValueCountFrequency (%)
401701.756483606 1
0.7%
401620.469420749 1
0.7%
401476.744536382 1
0.7%
401404.910782153 1
0.7%
399032.660659307 1
0.7%
398377.77044139 1
0.7%
398363.110811109 1
0.7%
398314.554575032 1
0.7%
398237.363461482 1
0.7%
398146.557740499 1
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)93.3%
Missing5
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean187279.27
Minimum175688.17
Maximum206095.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:07.831265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175688.17
5-th percentile178662.58
Q1183914.58
median186739.94
Q3191174.35
95-th percentile196663.39
Maximum206095.72
Range30407.552
Interquartile range (IQR)7259.7681

Descriptive statistics

Standard deviation6270.8701
Coefficient of variation (CV)0.03348406
Kurtosis0.63900752
Mean187279.27
Median Absolute Deviation (MAD)3899.3652
Skewness0.65716332
Sum25282701
Variance39323812
MonotonicityNot monotonic
2024-04-21T19:58:08.082603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186904.064945782 3
 
2.1%
191059.352179538 2
 
1.4%
186099.137533193 2
 
1.4%
180305.158017524 2
 
1.4%
194681.150958776 2
 
1.4%
183926.389755619 2
 
1.4%
194492.669076997 2
 
1.4%
179600.395082956 2
 
1.4%
194245.391458314 1
 
0.7%
179909.355201929 1
 
0.7%
Other values (116) 116
82.9%
(Missing) 5
 
3.6%
ValueCountFrequency (%)
175688.173024086 1
0.7%
175752.422453699 1
0.7%
177269.681636831 1
0.7%
177529.957135139 1
0.7%
177706.786518732 1
0.7%
178039.321443569 1
0.7%
178279.40261468 1
0.7%
178826.792087724 1
0.7%
178858.448820953 1
0.7%
179352.713922229 1
0.7%
ValueCountFrequency (%)
206095.724959308 1
0.7%
205023.026001504 1
0.7%
204685.096657824 1
0.7%
204635.968428484 1
0.7%
204621.655738547 1
0.7%
198675.298013138 1
0.7%
196933.189461491 1
0.7%
196547.760248837 1
0.7%
196498.705794094 1
0.7%
195923.740631639 1
0.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
복합유통게임제공업
140 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 140
100.0%

Length

2024-04-21T19:58:08.329006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:08.577111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 140
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
140 

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 140
100.0%

Length

2024-04-21T19:58:08.771987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:08.980209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 140
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)21.8%
Missing62
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean6.6666667
Minimum0
Maximum47
Zeros12
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:09.142597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median5
Q38
95-th percentile15
Maximum47
Range47
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation7.4042225
Coefficient of variation (CV)1.1106334
Kurtosis16.835255
Mean6.6666667
Median Absolute Deviation (MAD)2
Skewness3.6043631
Sum520
Variance54.822511
MonotonicityNot monotonic
2024-04-21T19:58:09.330936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 12
 
8.6%
5 11
 
7.9%
6 11
 
7.9%
4 11
 
7.9%
3 5
 
3.6%
10 5
 
3.6%
7 4
 
2.9%
12 4
 
2.9%
2 3
 
2.1%
15 2
 
1.4%
Other values (7) 10
 
7.1%
(Missing) 62
44.3%
ValueCountFrequency (%)
0 12
8.6%
2 3
 
2.1%
3 5
3.6%
4 11
7.9%
5 11
7.9%
6 11
7.9%
7 4
 
2.9%
8 2
 
1.4%
9 2
 
1.4%
10 5
3.6%
ValueCountFrequency (%)
47 1
 
0.7%
42 1
 
0.7%
19 1
 
0.7%
15 2
 
1.4%
14 1
 
0.7%
12 4
2.9%
11 2
 
1.4%
10 5
3.6%
9 2
 
1.4%
8 2
 
1.4%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
123 
기타
 
8
유흥업소밀집지역
 
4
학교정화(상대)
 
4
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.1214286
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 123
87.9%
기타 8
 
5.7%
유흥업소밀집지역 4
 
2.9%
학교정화(상대) 4
 
2.9%
아파트지역 1
 
0.7%

Length

2024-04-21T19:58:09.548442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:09.741258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
87.9%
기타 8
 
5.7%
유흥업소밀집지역 4
 
2.9%
학교정화(상대 4
 
2.9%
아파트지역 1
 
0.7%

제작취급품목내용
Categorical

Distinct36
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
61 
식품접객업(휴게음식점)
19 
휴게음식점
13 
기타유원시설업
 
4
식품접객업
 
4
Other values (31)
39 

Length

Max length26
Median length24
Mean length7.8285714
Min length3

Unique

Unique25 ?
Unique (%)17.9%

Sample

1st row<NA>
2nd row청소년게임제공업+인터넷컴퓨터게임시설제공업
3rd row복합유통게임제공업
4th row휴게음식점
5th row식품접객업(휴게음식점)

Common Values

ValueCountFrequency (%)
<NA> 61
43.6%
식품접객업(휴게음식점) 19
 
13.6%
휴게음식점 13
 
9.3%
기타유원시설업 4
 
2.9%
식품접객업 4
 
2.9%
노래연습장업 3
 
2.1%
청소년게임제공업 + 노래연습장업 3
 
2.1%
멀티게임 2
 
1.4%
노래연습 2
 
1.4%
식품접객업(휴게음식점) 등록 2
 
1.4%
Other values (26) 27
19.3%

Length

2024-04-21T19:58:09.960479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 61
35.9%
식품접객업(휴게음식점 21
 
12.4%
휴게음식점 13
 
7.6%
청소년게임제공업 10
 
5.9%
7
 
4.1%
식품접객업 7
 
4.1%
노래연습장업 7
 
4.1%
인터넷컴퓨터게임시설제공업 6
 
3.5%
기타유원시설업 6
 
3.5%
노래연습 3
 
1.8%
Other values (24) 29
17.1%

시설면적
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)98.5%
Missing4
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean276.55463
Minimum38.7
Maximum1070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:10.204305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.7
5-th percentile95.925
Q1178.58
median251.625
Q3326.9025
95-th percentile599.23
Maximum1070
Range1031.3
Interquartile range (IQR)148.3225

Descriptive statistics

Standard deviation165.82414
Coefficient of variation (CV)0.59960718
Kurtosis6.517534
Mean276.55463
Median Absolute Deviation (MAD)74.285
Skewness2.1536067
Sum37611.43
Variance27497.646
MonotonicityNot monotonic
2024-04-21T19:58:10.457665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334.12 2
 
1.4%
253.25 2
 
1.4%
336.28 1
 
0.7%
86.95 1
 
0.7%
203.18 1
 
0.7%
206.5 1
 
0.7%
289.85 1
 
0.7%
246.67 1
 
0.7%
789.46 1
 
0.7%
213.9 1
 
0.7%
Other values (124) 124
88.6%
(Missing) 4
 
2.9%
ValueCountFrequency (%)
38.7 1
0.7%
56.86 1
0.7%
63.92 1
0.7%
78.78 1
0.7%
81.22 1
0.7%
86.95 1
0.7%
94.92 1
0.7%
96.26 1
0.7%
98.34 1
0.7%
100.0 1
0.7%
ValueCountFrequency (%)
1070.0 1
0.7%
946.56 1
0.7%
874.14 1
0.7%
789.46 1
0.7%
766.19 1
0.7%
668.57 1
0.7%
630.79 1
0.7%
588.71 1
0.7%
504.9 1
0.7%
476.15 1
0.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)12.5%
Missing44
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean3.8020833
Minimum0
Maximum14
Zeros12
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:10.655480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median3.5
Q35
95-th percentile10
Maximum14
Range14
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.9686779
Coefficient of variation (CV)0.78080294
Kurtosis1.2546979
Mean3.8020833
Median Absolute Deviation (MAD)1.5
Skewness1.0177267
Sum365
Variance8.8130482
MonotonicityNot monotonic
2024-04-21T19:58:10.845058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 17
 
12.1%
3 13
 
9.3%
4 12
 
8.6%
1 12
 
8.6%
0 12
 
8.6%
2 11
 
7.9%
6 7
 
5.0%
8 4
 
2.9%
10 4
 
2.9%
9 2
 
1.4%
Other values (2) 2
 
1.4%
(Missing) 44
31.4%
ValueCountFrequency (%)
0 12
8.6%
1 12
8.6%
2 11
7.9%
3 13
9.3%
4 12
8.6%
5 17
12.1%
6 7
5.0%
8 4
 
2.9%
9 2
 
1.4%
10 4
 
2.9%
ValueCountFrequency (%)
14 1
 
0.7%
13 1
 
0.7%
10 4
 
2.9%
9 2
 
1.4%
8 4
 
2.9%
6 7
5.0%
5 17
12.1%
4 12
8.6%
3 13
9.3%
2 11
7.9%

지하층수
Categorical

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
82 
1
35 
0
15 
2
 
6
4
 
1

Length

Max length4
Median length4
Mean length2.7642857
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 82
58.6%
1 35
25.0%
0 15
 
10.7%
2 6
 
4.3%
4 1
 
0.7%
10 1
 
0.7%

Length

2024-04-21T19:58:11.072257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:11.270293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
58.6%
1 35
25.0%
0 15
 
10.7%
2 6
 
4.3%
4 1
 
0.7%
10 1
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
91 
근린생활시설
44 
판매시설
 
2
유통시설
 
2
문화시설
 
1

Length

Max length6
Median length4
Mean length4.6285714
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
65.0%
근린생활시설 44
31.4%
판매시설 2
 
1.4%
유통시설 2
 
1.4%
문화시설 1
 
0.7%

Length

2024-04-21T19:58:11.493118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:11.700360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
65.0%
근린생활시설 44
31.4%
판매시설 2
 
1.4%
유통시설 2
 
1.4%
문화시설 1
 
0.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
126 
0
14 

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
90.0%
0 14
 
10.0%

Length

2024-04-21T19:58:11.920137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:12.140884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
90.0%
0 14
 
10.0%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)51.7%
Missing111
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean68.172414
Minimum0
Maximum519
Zeros14
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:12.303921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median42
Q370
95-th percentile300.8
Maximum519
Range519
Interquartile range (IQR)70

Descriptive statistics

Standard deviation117.39222
Coefficient of variation (CV)1.7219901
Kurtosis8.3092654
Mean68.172414
Median Absolute Deviation (MAD)42
Skewness2.7728324
Sum1977
Variance13780.933
MonotonicityNot monotonic
2024-04-21T19:58:12.522665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 14
 
10.0%
60 2
 
1.4%
42 1
 
0.7%
55 1
 
0.7%
134 1
 
0.7%
79 1
 
0.7%
519 1
 
0.7%
90 1
 
0.7%
54 1
 
0.7%
50 1
 
0.7%
Other values (5) 5
 
3.6%
(Missing) 111
79.3%
ValueCountFrequency (%)
0 14
10.0%
42 1
 
0.7%
50 1
 
0.7%
54 1
 
0.7%
55 1
 
0.7%
60 2
 
1.4%
66 1
 
0.7%
70 1
 
0.7%
79 1
 
0.7%
90 1
 
0.7%
ValueCountFrequency (%)
519 1
0.7%
368 1
0.7%
200 1
0.7%
134 1
0.7%
130 1
0.7%
90 1
0.7%
79 1
0.7%
70 1
0.7%
66 1
0.7%
60 2
1.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
126 
0
14 

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
90.0%
0 14
 
10.0%

Length

2024-04-21T19:58:12.746329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:12.929627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
90.0%
0 14
 
10.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
126 
0
14 

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
90.0%
0 14
 
10.0%

Length

2024-04-21T19:58:13.236881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:13.582039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
90.0%
0 14
 
10.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)81.5%
Missing86
Missing (%)61.4%
Infinite0
Infinite (%)0.0%
Mean65.407407
Minimum0
Maximum273
Zeros3
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T19:58:13.897129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q133.75
median63.5
Q380
95-th percentile141.15
Maximum273
Range273
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation48.145816
Coefficient of variation (CV)0.73609118
Kurtosis5.3340953
Mean65.407407
Median Absolute Deviation (MAD)24
Skewness1.5786886
Sum3532
Variance2318.0196
MonotonicityNot monotonic
2024-04-21T19:58:14.515150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
60 3
 
2.1%
0 3
 
2.1%
80 2
 
1.4%
15 2
 
1.4%
100 2
 
1.4%
91 2
 
1.4%
74 2
 
1.4%
70 2
 
1.4%
50 1
 
0.7%
138 1
 
0.7%
Other values (34) 34
 
24.3%
(Missing) 86
61.4%
ValueCountFrequency (%)
0 3
2.1%
1 1
 
0.7%
3 1
 
0.7%
8 1
 
0.7%
12 1
 
0.7%
15 2
1.4%
20 1
 
0.7%
21 1
 
0.7%
27 1
 
0.7%
28 1
 
0.7%
ValueCountFrequency (%)
273 1
0.7%
151 1
0.7%
147 1
0.7%
138 1
0.7%
134 1
0.7%
124 1
0.7%
120 1
0.7%
100 2
1.4%
91 2
1.4%
89 1
0.7%

기존게임업외업종명
Text

MISSING 

Distinct18
Distinct (%)66.7%
Missing113
Missing (%)80.7%
Memory size1.2 KiB
2024-04-21T19:58:15.208805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length12.962963
Min length5

Characters and Unicode

Total characters350
Distinct characters60
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)48.1%

Sample

1st row청소년게임제공업+인터넷컴퓨터게임시설제공업
2nd row청소년게임제공업
3rd row청소년게임제공업
4th row식픔접객업
5th row멀티게임기
ValueCountFrequency (%)
식품접객업(휴게음식점 6
17.6%
청소년게임제공업 5
14.7%
인터넷컴퓨터게임시설제공업 5
14.7%
식품접객업 2
 
5.9%
멀티게임기 2
 
5.9%
청소년게임제공업+인터넷컴퓨터게임시설제공업 1
 
2.9%
복합유통게임제공업 1
 
2.9%
및 1
 
2.9%
청소년게임제공업,인터넷컴퓨터게임시설제공업 1
 
2.9%
2대 1
 
2.9%
Other values (9) 9
26.5%
2024-04-21T19:58:16.271650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 32
 
9.1%
게 27
 
7.7%
임 20
 
5.7%
식 18
 
5.1%
공 17
 
4.9%
제 17
 
4.9%
터 15
 
4.3%
객 10
 
2.9%
품 10
 
2.9%
소 10
 
2.9%
Other values (50) 174
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
88.0%
Open Punctuation 9
 
2.6%
Close Punctuation 9
 
2.6%
Space Separator 7
 
2.0%
Other Punctuation 7
 
2.0%
Decimal Number 6
 
1.7%
Uppercase Letter 2
 
0.6%
Math Symbol 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 32
 
10.4%
게 27
 
8.8%
임 20
 
6.5%
식 18
 
5.8%
공 17
 
5.5%
제 17
 
5.5%
터 15
 
4.9%
객 10
 
3.2%
품 10
 
3.2%
소 10
 
3.2%
Other values (36) 132
42.9%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
2 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
· 1
 
14.3%
: 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
88.0%
Common 40
 
11.4%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 32
 
10.4%
게 27
 
8.8%
임 20
 
6.5%
식 18
 
5.8%
공 17
 
5.5%
제 17
 
5.5%
터 15
 
4.9%
객 10
 
3.2%
품 10
 
3.2%
소 10
 
3.2%
Other values (36) 132
42.9%
Common
ValueCountFrequency (%)
( 9
22.5%
) 9
22.5%
7
17.5%
, 5
12.5%
1 2
 
5.0%
0 2
 
5.0%
2 1
 
2.5%
4 1
 
2.5%
+ 1
 
2.5%
- 1
 
2.5%
Other values (2) 2
 
5.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
88.0%
ASCII 41
 
11.7%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 32
 
10.4%
게 27
 
8.8%
임 20
 
6.5%
식 18
 
5.8%
공 17
 
5.5%
제 17
 
5.5%
터 15
 
4.9%
객 10
 
3.2%
품 10
 
3.2%
소 10
 
3.2%
Other values (36) 132
42.9%
ASCII
ValueCountFrequency (%)
( 9
22.0%
) 9
22.0%
7
17.1%
, 5
12.2%
1 2
 
4.9%
0 2
 
4.9%
C 1
 
2.4%
2 1
 
2.4%
4 1
 
2.4%
P 1
 
2.4%
Other values (3) 3
 
7.3%
None
ValueCountFrequency (%)
· 1
100.0%

제공게임물명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전체이용가
97 
<NA>
40 
전체이용가 및 청소년이용불가
 
2
청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.8714286
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 97
69.3%
<NA> 40
28.6%
전체이용가 및 청소년이용불가 2
 
1.4%
청소년이용불가 1
 
0.7%

Length

2024-04-21T19:58:16.690656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:17.026224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 99
68.8%
na 40
27.8%
청소년이용불가 3
 
2.1%
및 2
 
1.4%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
103 
일반상업지역
21 
일반주거지역
 
5
상업지역
 
4
준주거지역
 
3
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.4357143
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
73.6%
일반상업지역 21
 
15.0%
일반주거지역 5
 
3.6%
상업지역 4
 
2.9%
준주거지역 3
 
2.1%
중심상업지역 2
 
1.4%
근린상업지역 1
 
0.7%
주거지역 1
 
0.7%

Length

2024-04-21T19:58:17.424168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:58:17.796583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
73.6%
일반상업지역 21
 
15.0%
일반주거지역 5
 
3.6%
상업지역 4
 
2.9%
준주거지역 3
 
2.1%
중심상업지역 2
 
1.4%
근린상업지역 1
 
0.7%
주거지역 1
 
0.7%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01복합유통게임제공업03_05_04_P3250000CDFF224103200300000120030708<NA>3폐업3폐업20080820<NA><NA><NA>231-2929<NA>600046부산광역시 중구 남포동6가 97-2번지부산광역시 중구 비프광장로 12 (남포동6가)<NA>아카데미PC.PS20080820165417I2018-08-31 23:59:59.0<NA>384740.974653179548.266775복합유통게임제공업유통관련업9<NA><NA>409.24<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12복합유통게임제공업03_05_04_P3250000CDFF224103200800000120080704<NA>3폐업3폐업20120907<NA><NA><NA><NA><NA><NA>부산광역시 중구 광복동3가 1-3번지부산광역시 중구 비프광장로 25 (남포동3가)600043인터밀리언 남포점 220120907163711I2018-08-31 23:59:59.0<NA>385127.70502179920.440367복합유통게임제공업유통관련업5기타청소년게임제공업+인터넷컴퓨터게임시설제공업267.74<NA>근린생활시설<NA>42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1청소년게임제공업+인터넷컴퓨터게임시설제공업전체이용가<NA><NA><NA>일반상업지역<NA>
23복합유통게임제공업03_05_04_P3250000CDFF224103201500000120150924<NA>3폐업3폐업20190125<NA><NA><NA><NA><NA><NA>부산광역시 중구 창선동1가 12-1번지부산광역시 중구 광복로39번길 6 (창선동1가)48947Funit20190125154359U2019-02-12 02:40:00.0<NA>384993.660073179733.755299복합유통게임제공업유통관련업12<NA>복합유통게임제공업444.5584근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역<NA>
34복합유통게임제공업03_05_04_P3250000CDFF224103201700000220171101<NA>3폐업3폐업20220707<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 24-1부산광역시 중구 비프광장로 28, 2층 (남포동5가)489533POP PC CAFE20220707171838U2022-07-09 02:40:00.0<NA>384871.019249179600.395083복합유통게임제공업유통관련업6<NA>휴게음식점874.1451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>273<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
45복합유통게임제공업03_05_04_P3250000CDFF224103201700000320171229<NA>3폐업3폐업20191127<NA><NA><NA><NA><NA><NA>부산광역시 중구 창선동2가 46-3번지부산광역시 중구 광복로 34-1, 지상1층 (창선동2가)48953토이뽑기랜드20191127164724U2019-11-29 02:40:00.0<NA>384917.403183179672.740341복합유통게임제공업유통관련업6유흥업소밀집지역식품접객업(휴게음식점)145.2251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임제공업전체이용가<NA><NA><NA>일반상업지역<NA>
56복합유통게임제공업03_05_04_P3250000CDFF224103201800000120180529<NA>3폐업3폐업20220222<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 75-1부산광역시 중구 구덕로 78, 지상 1,2층 (남포동6가)48981etang LAND20220222154910U2022-02-24 02:40:00.0<NA>384791.893824179516.212513복합유통게임제공업유통관련업2<NA>청소년게임제공업, 기타유원시설업247.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역<NA>
67복합유통게임제공업03_05_04_P3250000CDFF224103202000000220200723<NA>3폐업3폐업20210326<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 65-1부산광역시 중구 구덕로84번길 5, 2층 (남포동6가)48981유니스트 PC20210326170504U2021-03-28 02:40:00.0<NA>384697.119071179510.262932복합유통게임제공업유통관련업<NA><NA>휴게음식점393.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76<NA><NA><NA><NA><NA><NA><NA>
78복합유통게임제공업03_05_04_P3250000CDFF224103201600000120161014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 85번지부산광역시 중구 비프광장로 20, 지하1층 (남포동6가)48981캠프 VR20190426162700U2019-04-28 02:40:00.0<NA>384819.053112179587.403633복합유통게임제공업유통관련업<NA><NA><NA>946.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>32<NA>전체이용가<NA><NA><NA><NA><NA>
89복합유통게임제공업03_05_04_P3250000CDFF224103201700000120170614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 84-3부산광역시 중구 충장대로5번길 24, 지하1층 (중앙동4가)48938아이센스 PC카페 중앙동본점20201228094022U2020-12-30 02:40:00.0<NA>385673.302756180607.257893복합유통게임제공업유통관련업6<NA>식품접객업(휴게음식점)293.0551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
910복합유통게임제공업03_05_04_P3250000CDFF224103202000000120200129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 24-1번지부산광역시 중구 비프광장로 28, 지상1, 2층 (남포동5가)48953VAMS(남포점)20200602145601U2020-06-04 02:40:00.0<NA>384871.019249179600.395083복합유통게임제공업유통관련업<NA><NA>기타유원시설업668.57<NA><NA><NA><NA>55<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
130131복합유통게임제공업03_05_04_P3400000CDFF224103201900000320190503<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 751-2번지부산광역시 기장군 정관읍 구연3로 17, 정관트윈타워브릿지 A동 601호46023쇼타임 PC방 부산정관점20190507114627U2019-05-09 02:40:00.0<NA>398314.554575204635.968428복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)178.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>69식품접객업<NA><NA><NA><NA><NA><NA>
131132복합유통게임제공업03_05_04_P3400000CDFF224103201900000120190419<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 413-2번지부산광역시 기장군 기장읍 차성로 277, 2층46067아이센스리그PC방 부산기장점20190503174047U2019-05-05 02:40:00.0<NA>401404.910782195923.740632복합유통게임제공업유통관련업5<NA>식품접객업(휴게음식점)209.541근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>74<NA><NA><NA><NA><NA><NA><NA>
132133복합유통게임제공업03_05_04_P3400000CDFF224103201900000220190419<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 748-1부산광역시 기장군 정관읍 정관중앙로 58, 3층 306호46023아이비스피씨 정관신도시점20220426171021U2022-04-28 02:40:00.0<NA>398146.55774204685.096658복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)192.78<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>77<NA><NA><NA><NA><NA><NA><NA>
133134복합유통게임제공업03_05_04_P3400000CDFF224103201900000520190906<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 동부리 155-4번지부산광역시 기장군 기장읍 차성로338번길 38, 3층46061더젠PC20191008110604U2019-10-10 02:40:00.0<NA>401620.469421196498.705794복합유통게임제공업유통관련업<NA><NA>식품접객업324.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100식품접객업(영업의형태:휴게음식점)<NA><NA><NA><NA><NA><NA>
134135복합유통게임제공업03_05_04_P3400000CDFF224103201900000720191122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 동부리 150-2번지 차성장식부산광역시 기장군 기장읍 차성로344번길 8, 2층46061라이또PC 부산기장점20191122173820I2019-11-24 00:23:36.0<NA>401476.744536196547.760249복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)196.92<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
135136복합유통게임제공업03_05_04_P3400000CDFF224103201900000620191023<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 모전리 740-15부산광역시 기장군 정관읍 정관2로 51-27, 6층46008YOLO PC20210908140219U2021-09-10 02:40:00.0<NA>396963.91107206095.724959복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)438.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA><NA>
136137복합유통게임제공업03_05_04_P3400000CDFF224103201700000120171229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 717-6번지부산광역시 기장군 정관읍 정관중앙로 45, 9층46015JandJ ENTERTAINMENT20191203114319U2019-12-05 02:40:00.0<NA>398024.244822204621.655739복합유통게임제공업유통관련업<NA><NA>기타유원시설업1070.0<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA><NA><NA>
137138복합유통게임제공업03_05_04_P3400000CDFF224103202000000120200110<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 400-3번지부산광역시 기장군 정관읍 구연방곡로 89, 302호46019크레인PC방 부산정관점20200116172326U2020-01-18 02:40:00.0<NA>399032.660659205023.026002복합유통게임제공업유통관련업<NA><NA>휴게음식점149.3951<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>64식품접객업전체이용가<NA><NA><NA><NA><NA>
138139복합유통게임제공업03_05_04_P3400000CDFF224103202100000120210714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광읍 삼성리 828부산광역시 기장군 일광면 해빛1로 5, 앤유PC일광2호점 8층46048앤유PC일광2호점20221021114502U2022-10-23 02:40:00.0<NA><NA><NA>복합유통게임제공업유통관련업0<NA>휴게음식점630.7900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>124<NA><NA><NA><NA><NA><NA><NA>
139140복합유통게임제공업03_05_04_P3400000CDFF224103202000000220200928<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광읍 삼성리 825-2부산광역시 기장군 일광면 해빛로 13, 7층 701호46048앤유PC기장일광점20221021114550U2022-10-23 02:40:00.0<NA><NA><NA>복합유통게임제공업유통관련업0<NA>휴게음식점207.900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>86<NA>전체이용가<NA><NA><NA><NA><NA>