Overview

Dataset statistics

Number of variables60
Number of observations2571
Missing cells80943
Missing cells (%)52.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory523.1 B

Variable types

Numeric14
Categorical14
Text6
Unsupported25
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123087

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.4%)Imbalance
상세영업상태명 is highly imbalanced (65.5%)Imbalance
휴업시작일자 is highly imbalanced (99.4%)Imbalance
휴업종료일자 is highly imbalanced (99.4%)Imbalance
주변환경명 is highly imbalanced (84.7%)Imbalance
건물용도명 is highly imbalanced (72.8%)Imbalance
지역구분명 is highly imbalanced (79.1%)Imbalance
폐업일자 has 1885 (73.3%) missing valuesMissing
재개업일자 has 2571 (100.0%) missing valuesMissing
소재지전화 has 1058 (41.2%) missing valuesMissing
소재지면적 has 2571 (100.0%) missing valuesMissing
소재지우편번호 has 1106 (43.0%) missing valuesMissing
소재지전체주소 has 58 (2.3%) missing valuesMissing
도로명전체주소 has 86 (3.3%) missing valuesMissing
도로명우편번호 has 713 (27.7%) missing valuesMissing
업태구분명 has 2571 (100.0%) missing valuesMissing
좌표정보(x) has 64 (2.5%) missing valuesMissing
좌표정보(y) has 64 (2.5%) missing valuesMissing
총층수 has 2284 (88.8%) missing valuesMissing
제작취급품목내용 has 2565 (99.8%) missing valuesMissing
시설면적 has 2154 (83.8%) missing valuesMissing
지상층수 has 2213 (86.1%) missing valuesMissing
지하층수 has 2418 (94.0%) missing valuesMissing
통로너비 has 2571 (100.0%) missing valuesMissing
조명시설조도 has 2571 (100.0%) missing valuesMissing
노래방실수 has 2571 (100.0%) missing valuesMissing
청소년실수 has 2571 (100.0%) missing valuesMissing
비상계단여부 has 2571 (100.0%) missing valuesMissing
비상구여부 has 2571 (100.0%) missing valuesMissing
자동환기여부 has 2571 (100.0%) missing valuesMissing
청소년실여부 has 2571 (100.0%) missing valuesMissing
특수조명여부 has 2571 (100.0%) missing valuesMissing
방음시설여부 has 2571 (100.0%) missing valuesMissing
비디오재생기명 has 2571 (100.0%) missing valuesMissing
조명시설유무 has 2571 (100.0%) missing valuesMissing
음향시설여부 has 2571 (100.0%) missing valuesMissing
편의시설여부 has 2571 (100.0%) missing valuesMissing
소방시설여부 has 2571 (100.0%) missing valuesMissing
총게임기수 has 2571 (100.0%) missing valuesMissing
기존게임업외업종명 has 2571 (100.0%) missing valuesMissing
제공게임물명 has 2571 (100.0%) missing valuesMissing
공연장형태구분명 has 2571 (100.0%) missing valuesMissing
품목명 has 2571 (100.0%) missing valuesMissing
최초등록시점 has 2571 (100.0%) missing valuesMissing
Unnamed: 59 has 2571 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -39.55650954)Skewed
소재지우편번호 is highly skewed (γ1 = -31.30396117)Skewed
번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 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
제공게임물명 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 29 (1.1%) zerosZeros
시설면적 has 29 (1.1%) zerosZeros
지상층수 has 27 (1.1%) zerosZeros
지하층수 has 41 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-16 20:51:11.337511
Analysis finished2024-04-16 20:51:12.492699
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2571
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1286
Minimum1
Maximum2571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:12.548971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile129.5
Q1643.5
median1286
Q31928.5
95-th percentile2442.5
Maximum2571
Range2570
Interquartile range (IQR)1285

Descriptive statistics

Standard deviation742.32809
Coefficient of variation (CV)0.57723802
Kurtosis-1.2
Mean1286
Median Absolute Deviation (MAD)643
Skewness0
Sum3306306
Variance551051
MonotonicityStrictly increasing
2024-04-17T05:51:12.653525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1769 1
 
< 0.1%
1711 1
 
< 0.1%
1712 1
 
< 0.1%
1713 1
 
< 0.1%
1714 1
 
< 0.1%
1715 1
 
< 0.1%
1716 1
 
< 0.1%
1717 1
 
< 0.1%
1718 1
 
< 0.1%
Other values (2561) 2561
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 (%)
2571 1
< 0.1%
2570 1
< 0.1%
2569 1
< 0.1%
2568 1
< 0.1%
2567 1
< 0.1%
2566 1
< 0.1%
2565 1
< 0.1%
2564 1
< 0.1%
2563 1
< 0.1%
2562 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
출판사
2571 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 2571
100.0%

Length

2024-04-17T05:51:12.750132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:12.817419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2571
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
04_17_01_P
2571 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04_17_01_P
2nd row04_17_01_P
3rd row04_17_01_P
4th row04_17_01_P
5th row04_17_01_P

Common Values

ValueCountFrequency (%)
04_17_01_P 2571
100.0%

Length

2024-04-17T05:51:12.895125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:12.962285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2571
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3318319.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:13.028059image/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 deviation41958.573
Coefficient of variation (CV)0.012644524
Kurtosis-0.90019759
Mean3318319.7
Median Absolute Deviation (MAD)30000
Skewness0.098313743
Sum8.5314 × 109
Variance1.7605219 × 109
MonotonicityNot monotonic
2024-04-17T05:51:13.118653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 447
17.4%
3330000 416
16.2%
3250000 267
10.4%
3350000 203
7.9%
3310000 181
7.0%
3380000 172
 
6.7%
3370000 158
 
6.1%
3300000 145
 
5.6%
3390000 106
 
4.1%
3270000 96
 
3.7%
Other values (6) 380
14.8%
ValueCountFrequency (%)
3250000 267
10.4%
3260000 65
 
2.5%
3270000 96
 
3.7%
3280000 50
 
1.9%
3290000 447
17.4%
3300000 145
 
5.6%
3310000 181
7.0%
3320000 91
 
3.5%
3330000 416
16.2%
3340000 95
 
3.7%
ValueCountFrequency (%)
3400000 56
 
2.2%
3390000 106
 
4.1%
3380000 172
6.7%
3370000 158
 
6.1%
3360000 23
 
0.9%
3350000 203
7.9%
3340000 95
 
3.7%
3330000 416
16.2%
3320000 91
 
3.5%
3310000 181
7.0%

관리번호
Text

Distinct666
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2024-04-17T05:51:13.280586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters51420
Distinct characters14
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

Unique259 ?
Unique (%)10.1%

Sample

1st rowCDFG1251002019000001
2nd rowCDFG1251002017000003
3rd rowCDFG1251002011000006
4th rowCDFG1251001988000002
5th rowCDFG1251002011000015
ValueCountFrequency (%)
cdfg1251002020000001 16
 
0.6%
cdfg1251002020000003 15
 
0.6%
cdfg1251002017000001 15
 
0.6%
cdfg1251002017000004 15
 
0.6%
cdfg1251002019000002 15
 
0.6%
cdfg1251002019000003 14
 
0.5%
cdfg1251002019000001 14
 
0.5%
cdfg1251002018000004 14
 
0.5%
cdfg1251002017000006 14
 
0.5%
cdfg1251002017000003 14
 
0.5%
Other values (656) 2425
94.3%
2024-04-17T05:51:13.567650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20605
40.1%
1 8078
 
15.7%
2 5827
 
11.3%
5 3086
 
6.0%
C 2571
 
5.0%
D 2571
 
5.0%
F 2571
 
5.0%
G 2571
 
5.0%
9 953
 
1.9%
8 555
 
1.1%
Other values (4) 2032
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41136
80.0%
Uppercase Letter 10284
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20605
50.1%
1 8078
 
19.6%
2 5827
 
14.2%
5 3086
 
7.5%
9 953
 
2.3%
8 555
 
1.3%
3 535
 
1.3%
4 519
 
1.3%
7 503
 
1.2%
6 475
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 2571
25.0%
D 2571
25.0%
F 2571
25.0%
G 2571
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41136
80.0%
Latin 10284
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20605
50.1%
1 8078
 
19.6%
2 5827
 
14.2%
5 3086
 
7.5%
9 953
 
2.3%
8 555
 
1.3%
3 535
 
1.3%
4 519
 
1.3%
7 503
 
1.2%
6 475
 
1.2%
Latin
ValueCountFrequency (%)
C 2571
25.0%
D 2571
25.0%
F 2571
25.0%
G 2571
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20605
40.1%
1 8078
 
15.7%
2 5827
 
11.3%
5 3086
 
6.0%
C 2571
 
5.0%
D 2571
 
5.0%
F 2571
 
5.0%
G 2571
 
5.0%
9 953
 
1.9%
8 555
 
1.1%
Other values (4) 2032
 
4.0%

인허가일자
Real number (ℝ)

SKEWED 

Distinct2020
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20097962
Minimum10011025
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:13.701243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011025
5-th percentile19930910
Q120051220
median20121016
Q320170419
95-th percentile20200525
Maximum20210127
Range10199102
Interquartile range (IQR)119199.5

Descriptive statistics

Standard deviation216284.99
Coefficient of variation (CV)0.010761538
Kurtosis1842.1533
Mean20097962
Median Absolute Deviation (MAD)50703
Skewness-39.55651
Sum5.1671861 × 1010
Variance4.6779196 × 1010
MonotonicityNot monotonic
2024-04-17T05:51:14.028038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021212 16
 
0.6%
20181030 5
 
0.2%
20131122 4
 
0.2%
20130327 4
 
0.2%
20141111 4
 
0.2%
20110622 4
 
0.2%
20170726 4
 
0.2%
20050623 4
 
0.2%
20190110 4
 
0.2%
20161017 4
 
0.2%
Other values (2010) 2518
97.9%
ValueCountFrequency (%)
10011025 1
< 0.1%
19670904 1
< 0.1%
19700723 1
< 0.1%
19750129 1
< 0.1%
19780526 1
< 0.1%
19790420 1
< 0.1%
19800117 1
< 0.1%
19800408 1
< 0.1%
19810318 1
< 0.1%
19820317 1
< 0.1%
ValueCountFrequency (%)
20210127 1
 
< 0.1%
20210126 1
 
< 0.1%
20210125 1
 
< 0.1%
20210122 3
0.1%
20210121 1
 
< 0.1%
20210120 1
 
< 0.1%
20210119 4
0.2%
20210115 1
 
< 0.1%
20210114 1
 
< 0.1%
20210112 4
0.2%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
2569 
20170224
 
1
20200423
 
1

Length

Max length8
Median length4
Mean length4.0031116
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2569
99.9%
20170224 1
 
< 0.1%
20200423 1
 
< 0.1%

Length

2024-04-17T05:51:14.137640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:14.219303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2569
99.9%
20170224 1
 
< 0.1%
20200423 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
1
1852 
3
638 
4
 
79
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1852
72.0%
3 638
 
24.8%
4 79
 
3.1%
2 2
 
0.1%

Length

2024-04-17T05:51:14.300816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:14.377151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1852
72.0%
3 638
 
24.8%
4 79
 
3.1%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
영업/정상
1852 
폐업
638 
취소/말소/만료/정지/중지
 
79
휴업
 
2

Length

Max length14
Median length5
Mean length4.529755
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1852
72.0%
폐업 638
 
24.8%
취소/말소/만료/정지/중지 79
 
3.1%
휴업 2
 
0.1%

Length

2024-04-17T05:51:14.462721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:14.555166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1852
72.0%
폐업 638
 
24.8%
취소/말소/만료/정지/중지 79
 
3.1%
휴업 2
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.161416
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:14.639303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9516212
Coefficient of variation (CV)0.53323174
Kurtosis4.9864286
Mean11.161416
Median Absolute Deviation (MAD)0
Skewness1.1856866
Sum28696
Variance35.421795
MonotonicityNot monotonic
2024-04-17T05:51:14.721576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 1851
72.0%
3 638
 
24.8%
35 63
 
2.5%
31 13
 
0.5%
30 2
 
0.1%
2 2
 
0.1%
33 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
2 2
 
0.1%
3 638
 
24.8%
13 1851
72.0%
14 1
 
< 0.1%
30 2
 
0.1%
31 13
 
0.5%
33 1
 
< 0.1%
35 63
 
2.5%
ValueCountFrequency (%)
35 63
 
2.5%
33 1
 
< 0.1%
31 13
 
0.5%
30 2
 
0.1%
14 1
 
< 0.1%
13 1851
72.0%
3 638
 
24.8%
2 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
영업중
1851 
폐업
638 
직권말소
 
63
등록취소
 
13
허가취소
 
2
Other values (3)
 
4

Length

Max length4
Median length3
Mean length2.781408
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1851
72.0%
폐업 638
 
24.8%
직권말소 63
 
2.5%
등록취소 13
 
0.5%
허가취소 2
 
0.1%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
전입 1
 
< 0.1%

Length

2024-04-17T05:51:14.837739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:14.946792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1851
72.0%
폐업 638
 
24.8%
직권말소 63
 
2.5%
등록취소 13
 
0.5%
허가취소 2
 
0.1%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
전입 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct498
Distinct (%)72.6%
Missing1885
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean20119990
Minimum19940331
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:15.057179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940331
5-th percentile20000821
Q120070740
median20140223
Q320171025
95-th percentile20200516
Maximum20210129
Range269798
Interquartile range (IQR)100285.25

Descriptive statistics

Standard deviation66489.781
Coefficient of variation (CV)0.0033046628
Kurtosis-0.97311242
Mean20119990
Median Absolute Deviation (MAD)41008
Skewness-0.56907762
Sum1.3802313 × 1010
Variance4.420891 × 109
MonotonicityNot monotonic
2024-04-17T05:51:15.173073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000821 66
 
2.6%
20170201 60
 
2.3%
20000914 4
 
0.2%
20210120 3
 
0.1%
20190306 3
 
0.1%
20020918 3
 
0.1%
20190128 3
 
0.1%
20180316 3
 
0.1%
20131230 3
 
0.1%
20170728 2
 
0.1%
Other values (488) 536
 
20.8%
(Missing) 1885
73.3%
ValueCountFrequency (%)
19940331 1
 
< 0.1%
19990714 1
 
< 0.1%
19990920 1
 
< 0.1%
20000229 1
 
< 0.1%
20000428 1
 
< 0.1%
20000429 1
 
< 0.1%
20000508 1
 
< 0.1%
20000711 2
 
0.1%
20000718 1
 
< 0.1%
20000821 66
2.6%
ValueCountFrequency (%)
20210129 2
0.1%
20210122 1
 
< 0.1%
20210121 1
 
< 0.1%
20210120 3
0.1%
20210118 2
0.1%
20210114 1
 
< 0.1%
20210108 2
0.1%
20210102 1
 
< 0.1%
20201231 1
 
< 0.1%
20201222 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
2569 
20170828
 
1
20141223
 
1

Length

Max length8
Median length4
Mean length4.0031116
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2569
99.9%
20170828 1
 
< 0.1%
20141223 1
 
< 0.1%

Length

2024-04-17T05:51:15.284314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:15.377296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2569
99.9%
20170828 1
 
< 0.1%
20141223 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
2569 
20270827
 
1
20150623
 
1

Length

Max length8
Median length4
Mean length4.0031116
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2569
99.9%
20270827 1
 
< 0.1%
20150623 1
 
< 0.1%

Length

2024-04-17T05:51:15.474492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:15.562399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2569
99.9%
20270827 1
 
< 0.1%
20150623 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

소재지전화
Text

MISSING 

Distinct1444
Distinct (%)95.4%
Missing1058
Missing (%)41.2%
Memory size20.2 KiB
2024-04-17T05:51:15.720716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.147389
Min length1

Characters and Unicode

Total characters15353
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1403 ?
Unique (%)92.7%

Sample

1st row051-246-1850
2nd row246-3436
3rd row051-468-3511
4th row246-5667
5th row246-5721,245-6486
ValueCountFrequency (%)
21
 
1.4%
051-000-0000 7
 
0.5%
0 4
 
0.3%
999-9999 3
 
0.2%
070-7500-3600 3
 
0.2%
051-253-0001 3
 
0.2%
051-545-8858 2
 
0.1%
051-852-3787 2
 
0.1%
051-245-2337 2
 
0.1%
503-5457 2
 
0.1%
Other values (1433) 1464
96.8%
2024-04-17T05:51:16.023193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2223
14.5%
0 2188
14.3%
5 1852
12.1%
1 1797
11.7%
4 1152
7.5%
6 1100
7.2%
8 1097
7.1%
7 1070
7.0%
3 1047
6.8%
2 1015
6.6%
Other values (7) 812
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13068
85.1%
Dash Punctuation 2223
 
14.5%
Close Punctuation 39
 
0.3%
Other Punctuation 19
 
0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2188
16.7%
5 1852
14.2%
1 1797
13.8%
4 1152
8.8%
6 1100
8.4%
8 1097
8.4%
7 1070
8.2%
3 1047
8.0%
2 1015
7.8%
9 750
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 12
63.2%
, 5
26.3%
* 2
 
10.5%
Dash Punctuation
ValueCountFrequency (%)
- 2223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15353
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2223
14.5%
0 2188
14.3%
5 1852
12.1%
1 1797
11.7%
4 1152
7.5%
6 1100
7.2%
8 1097
7.1%
7 1070
7.0%
3 1047
6.8%
2 1015
6.6%
Other values (7) 812
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2223
14.5%
0 2188
14.3%
5 1852
12.1%
1 1797
11.7%
4 1152
7.5%
6 1100
7.2%
8 1097
7.1%
7 1070
7.0%
3 1047
6.8%
2 1015
6.6%
Other values (7) 812
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct606
Distinct (%)41.4%
Missing1106
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean609697.67
Minimum47276
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:16.137467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47276
5-th percentile600024
Q1607767
median611827
Q3614829
95-th percentile617753.2
Maximum619963
Range572687
Interquartile range (IQR)7062

Descriptive statistics

Standard deviation15726.062
Coefficient of variation (CV)0.025793213
Kurtosis1119.0628
Mean609697.67
Median Absolute Deviation (MAD)3026
Skewness-31.303961
Sum8.9320709 × 108
Variance2.4730903 × 108
MonotonicityNot monotonic
2024-04-17T05:51:16.242430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614850 47
 
1.8%
600024 30
 
1.2%
614829 29
 
1.1%
600815 24
 
0.9%
600091 19
 
0.7%
600013 18
 
0.7%
612020 16
 
0.6%
600012 15
 
0.6%
614854 15
 
0.6%
614843 15
 
0.6%
Other values (596) 1237
48.1%
(Missing) 1106
43.0%
ValueCountFrequency (%)
47276 1
 
< 0.1%
600011 2
 
0.1%
600012 15
0.6%
600013 18
0.7%
600014 2
 
0.1%
600016 2
 
0.1%
600021 1
 
< 0.1%
600022 3
 
0.1%
600023 3
 
0.1%
600024 30
1.2%
ValueCountFrequency (%)
619963 2
0.1%
619961 2
0.1%
619952 1
 
< 0.1%
619913 1
 
< 0.1%
619906 2
0.1%
619905 2
0.1%
619904 2
0.1%
619903 3
0.1%
619902 3
0.1%
619901 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct2354
Distinct (%)93.7%
Missing58
Missing (%)2.3%
Memory size20.2 KiB
2024-04-17T05:51:16.520925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length26.668126
Min length12

Characters and Unicode

Total characters67017
Distinct characters448
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

Unique2229 ?
Unique (%)88.7%

Sample

1st row부산광역시 중구 신창동2가 2-10번지
2nd row부산광역시 중구 부평동3가 43-7번지 4층
3rd row부산광역시 중구 중앙동2가 49-31번지
4th row부산광역시 중구 동광동5가 48-6번지 청암빌딩 1층
5th row부산광역시 중구 신창동1가 40번지
ValueCountFrequency (%)
부산광역시 2513
 
20.1%
부산진구 446
 
3.6%
해운대구 400
 
3.2%
중구 259
 
2.1%
금정구 202
 
1.6%
남구 172
 
1.4%
수영구 171
 
1.4%
우동 169
 
1.3%
연제구 158
 
1.3%
부전동 148
 
1.2%
Other values (3396) 7893
63.0%
2024-04-17T05:51:16.957816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10021
 
15.0%
1 3278
 
4.9%
부 3255
 
4.9%
동 3235
 
4.8%
산 3217
 
4.8%
광 2652
 
4.0%
시 2587
 
3.9%
구 2532
 
3.8%
역 2518
 
3.8%
지 2357
 
3.5%
Other values (438) 31365
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40547
60.5%
Decimal Number 14154
 
21.1%
Space Separator 10021
 
15.0%
Dash Punctuation 1978
 
3.0%
Uppercase Letter 165
 
0.2%
Open Punctuation 54
 
0.1%
Close Punctuation 54
 
0.1%
Other Punctuation 26
 
< 0.1%
Lowercase Letter 17
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3255
 
8.0%
동 3235
 
8.0%
산 3217
 
7.9%
광 2652
 
6.5%
시 2587
 
6.4%
구 2532
 
6.2%
역 2518
 
6.2%
지 2357
 
5.8%
번 2269
 
5.6%
대 752
 
1.9%
Other values (385) 15173
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 19
11.5%
A 17
 
10.3%
T 16
 
9.7%
S 12
 
7.3%
K 11
 
6.7%
O 11
 
6.7%
L 10
 
6.1%
I 9
 
5.5%
D 9
 
5.5%
C 8
 
4.8%
Other values (11) 43
26.1%
Lowercase Letter
ValueCountFrequency (%)
c 3
17.6%
e 3
17.6%
n 2
11.8%
y 1
 
5.9%
w 1
 
5.9%
a 1
 
5.9%
v 1
 
5.9%
p 1
 
5.9%
m 1
 
5.9%
s 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 3278
23.2%
2 1869
13.2%
0 1574
11.1%
3 1521
10.7%
4 1401
9.9%
5 1149
 
8.1%
6 998
 
7.1%
7 862
 
6.1%
8 803
 
5.7%
9 699
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 12
46.2%
, 6
23.1%
@ 4
 
15.4%
& 3
 
11.5%
· 1
 
3.8%
Space Separator
ValueCountFrequency (%)
10021
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1978
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40547
60.5%
Common 26288
39.2%
Latin 182
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3255
 
8.0%
동 3235
 
8.0%
산 3217
 
7.9%
광 2652
 
6.5%
시 2587
 
6.4%
구 2532
 
6.2%
역 2518
 
6.2%
지 2357
 
5.8%
번 2269
 
5.6%
대 752
 
1.9%
Other values (385) 15173
37.4%
Latin
ValueCountFrequency (%)
B 19
 
10.4%
A 17
 
9.3%
T 16
 
8.8%
S 12
 
6.6%
K 11
 
6.0%
O 11
 
6.0%
L 10
 
5.5%
I 9
 
4.9%
D 9
 
4.9%
C 8
 
4.4%
Other values (23) 60
33.0%
Common
ValueCountFrequency (%)
10021
38.1%
1 3278
 
12.5%
- 1978
 
7.5%
2 1869
 
7.1%
0 1574
 
6.0%
3 1521
 
5.8%
4 1401
 
5.3%
5 1149
 
4.4%
6 998
 
3.8%
7 862
 
3.3%
Other values (10) 1637
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40547
60.5%
ASCII 26469
39.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10021
37.9%
1 3278
 
12.4%
- 1978
 
7.5%
2 1869
 
7.1%
0 1574
 
5.9%
3 1521
 
5.7%
4 1401
 
5.3%
5 1149
 
4.3%
6 998
 
3.8%
7 862
 
3.3%
Other values (42) 1818
 
6.9%
Hangul
ValueCountFrequency (%)
부 3255
 
8.0%
동 3235
 
8.0%
산 3217
 
7.9%
광 2652
 
6.5%
시 2587
 
6.4%
구 2532
 
6.2%
역 2518
 
6.2%
지 2357
 
5.8%
번 2269
 
5.6%
대 752
 
1.9%
Other values (385) 15173
37.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2386
Distinct (%)96.0%
Missing86
Missing (%)3.3%
Memory size20.2 KiB
2024-04-17T05:51:17.252389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length34.52837
Min length19

Characters and Unicode

Total characters85803
Distinct characters499
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

Unique2295 ?
Unique (%)92.4%

Sample

1st row부산광역시 중구 광복중앙로33번길 16-5, 3층 (신창동2가)
2nd row부산광역시 중구 대청로131번길 8-1 (동광동4가)
3rd row부산광역시 중구 흑교로 15 (부평동3가,4층)
4th row부산광역시 중구 해관로 41-2 (중앙동2가)
5th row부산광역시 중구 동광길 25 (동광동5가)
ValueCountFrequency (%)
부산광역시 2485
 
15.8%
부산진구 419
 
2.7%
해운대구 412
 
2.6%
중구 247
 
1.6%
금정구 202
 
1.3%
남구 178
 
1.1%
우동 171
 
1.1%
수영구 166
 
1.1%
연제구 156
 
1.0%
동래구 141
 
0.9%
Other values (3532) 11184
71.0%
2024-04-17T05:51:17.642853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13727
 
16.0%
동 3713
 
4.3%
1 3438
 
4.0%
부 3291
 
3.8%
산 3248
 
3.8%
광 2722
 
3.2%
시 2636
 
3.1%
구 2549
 
3.0%
) 2503
 
2.9%
( 2503
 
2.9%
Other values (489) 45473
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48974
57.1%
Decimal Number 14898
 
17.4%
Space Separator 13727
 
16.0%
Close Punctuation 2503
 
2.9%
Open Punctuation 2503
 
2.9%
Other Punctuation 2480
 
2.9%
Dash Punctuation 491
 
0.6%
Uppercase Letter 211
 
0.2%
Lowercase Letter 12
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3713
 
7.6%
부 3291
 
6.7%
산 3248
 
6.6%
광 2722
 
5.6%
시 2636
 
5.4%
구 2549
 
5.2%
역 2489
 
5.1%
로 2402
 
4.9%
대 1580
 
3.2%
길 1173
 
2.4%
Other values (436) 23171
47.3%
Uppercase Letter
ValueCountFrequency (%)
A 31
14.7%
B 29
13.7%
C 15
 
7.1%
S 14
 
6.6%
T 13
 
6.2%
E 12
 
5.7%
K 11
 
5.2%
D 11
 
5.2%
O 10
 
4.7%
L 10
 
4.7%
Other values (13) 55
26.1%
Decimal Number
ValueCountFrequency (%)
1 3438
23.1%
2 2100
14.1%
0 2043
13.7%
3 1639
11.0%
4 1236
 
8.3%
5 1134
 
7.6%
6 981
 
6.6%
7 838
 
5.6%
8 751
 
5.0%
9 738
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
16.7%
e 2
16.7%
c 1
8.3%
b 1
8.3%
i 1
8.3%
m 1
8.3%
a 1
8.3%
v 1
8.3%
p 1
8.3%
k 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 2461
99.2%
/ 13
 
0.5%
& 3
 
0.1%
@ 2
 
0.1%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13727
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 491
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48974
57.1%
Common 36606
42.7%
Latin 223
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3713
 
7.6%
부 3291
 
6.7%
산 3248
 
6.6%
광 2722
 
5.6%
시 2636
 
5.4%
구 2549
 
5.2%
역 2489
 
5.1%
로 2402
 
4.9%
대 1580
 
3.2%
길 1173
 
2.4%
Other values (436) 23171
47.3%
Latin
ValueCountFrequency (%)
A 31
13.9%
B 29
13.0%
C 15
 
6.7%
S 14
 
6.3%
T 13
 
5.8%
E 12
 
5.4%
K 11
 
4.9%
D 11
 
4.9%
O 10
 
4.5%
L 10
 
4.5%
Other values (23) 67
30.0%
Common
ValueCountFrequency (%)
13727
37.5%
1 3438
 
9.4%
) 2503
 
6.8%
( 2503
 
6.8%
, 2461
 
6.7%
2 2100
 
5.7%
0 2043
 
5.6%
3 1639
 
4.5%
4 1236
 
3.4%
5 1134
 
3.1%
Other values (10) 3822
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48974
57.1%
ASCII 36828
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13727
37.3%
1 3438
 
9.3%
) 2503
 
6.8%
( 2503
 
6.8%
, 2461
 
6.7%
2 2100
 
5.7%
0 2043
 
5.5%
3 1639
 
4.5%
4 1236
 
3.4%
5 1134
 
3.1%
Other values (42) 4044
 
11.0%
Hangul
ValueCountFrequency (%)
동 3713
 
7.6%
부 3291
 
6.7%
산 3248
 
6.6%
광 2722
 
5.6%
시 2636
 
5.4%
구 2549
 
5.2%
역 2489
 
5.1%
로 2402
 
4.9%
대 1580
 
3.2%
길 1173
 
2.4%
Other values (436) 23171
47.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1076
Distinct (%)57.9%
Missing713
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean282818.47
Minimum46005
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:17.754092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46005
5-th percentile46287.85
Q147869.5
median48931.5
Q3609800
95-th percentile616808.15
Maximum619963
Range573958
Interquartile range (IQR)561930.5

Descriptive statistics

Standard deviation277558.87
Coefficient of variation (CV)0.98140292
Kurtosis-1.8893965
Mean282818.47
Median Absolute Deviation (MAD)2220
Skewness0.33465716
Sum5.2547671 × 108
Variance7.7038926 × 1010
MonotonicityNot monotonic
2024-04-17T05:51:17.857773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 48
 
1.9%
48058 28
 
1.1%
48932 18
 
0.7%
48060 15
 
0.6%
612020 11
 
0.4%
600815 9
 
0.4%
608743 9
 
0.4%
600024 9
 
0.4%
600013 8
 
0.3%
48547 8
 
0.3%
Other values (1066) 1695
65.9%
(Missing) 713
27.7%
ValueCountFrequency (%)
46005 2
0.1%
46007 1
< 0.1%
46008 1
< 0.1%
46010 2
0.1%
46012 1
< 0.1%
46013 2
0.1%
46014 1
< 0.1%
46015 1
< 0.1%
46016 1
< 0.1%
46019 2
0.1%
ValueCountFrequency (%)
619963 2
0.1%
619961 2
0.1%
619952 1
 
< 0.1%
619913 1
 
< 0.1%
619906 2
0.1%
619905 2
0.1%
619904 2
0.1%
619903 3
0.1%
619902 3
0.1%
619901 1
 
< 0.1%

사업장명
Text

Distinct2493
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2024-04-17T05:51:18.099019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length6.8759238
Min length1

Characters and Unicode

Total characters17678
Distinct characters824
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

Unique2417 ?
Unique (%)94.0%

Sample

1st row북 파오스(Book PAOS)
2nd row호랑이 출판사
3rd row재봉출판사
4th row도서출판 빛남
5th row합동광고인쇄
ValueCountFrequency (%)
도서출판 301
 
8.6%
주식회사 72
 
2.1%
출판사 37
 
1.1%
무점포 26
 
0.7%
디자인 22
 
0.6%
출판부 10
 
0.3%
사단법인 10
 
0.3%
미디어 6
 
0.2%
6
 
0.2%
교육 6
 
0.2%
Other values (2771) 2986
85.8%
2024-04-17T05:51:18.462739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
911
 
5.2%
출 645
 
3.6%
판 644
 
3.6%
사 554
 
3.1%
) 415
 
2.3%
( 408
 
2.3%
도 402
 
2.3%
서 400
 
2.3%
주 339
 
1.9%
인 321
 
1.8%
Other values (814) 12639
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14003
79.2%
Lowercase Letter 945
 
5.3%
Space Separator 911
 
5.2%
Uppercase Letter 811
 
4.6%
Close Punctuation 417
 
2.4%
Open Punctuation 410
 
2.3%
Decimal Number 114
 
0.6%
Other Punctuation 58
 
0.3%
Dash Punctuation 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 645
 
4.6%
판 644
 
4.6%
사 554
 
4.0%
도 402
 
2.9%
서 400
 
2.9%
주 339
 
2.4%
인 321
 
2.3%
스 314
 
2.2%
이 284
 
2.0%
디 211
 
1.5%
Other values (736) 9889
70.6%
Uppercase Letter
ValueCountFrequency (%)
E 63
 
7.8%
O 62
 
7.6%
S 62
 
7.6%
C 55
 
6.8%
I 51
 
6.3%
T 48
 
5.9%
A 48
 
5.9%
P 45
 
5.5%
D 41
 
5.1%
M 40
 
4.9%
Other values (16) 296
36.5%
Lowercase Letter
ValueCountFrequency (%)
o 114
12.1%
e 101
10.7%
n 90
 
9.5%
a 84
 
8.9%
i 73
 
7.7%
s 63
 
6.7%
r 59
 
6.2%
t 52
 
5.5%
l 43
 
4.6%
u 37
 
3.9%
Other values (15) 229
24.2%
Decimal Number
ValueCountFrequency (%)
1 69
60.5%
2 13
 
11.4%
0 7
 
6.1%
5 7
 
6.1%
3 5
 
4.4%
9 3
 
2.6%
4 3
 
2.6%
8 3
 
2.6%
7 2
 
1.8%
6 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 23
39.7%
& 20
34.5%
, 6
 
10.3%
' 4
 
6.9%
· 3
 
5.2%
＆ 1
 
1.7%
！ 1
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 415
99.5%
] 1
 
0.2%
」 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 408
99.5%
[ 1
 
0.2%
「 1
 
0.2%
Space Separator
ValueCountFrequency (%)
911
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13953
78.9%
Common 1919
 
10.9%
Latin 1756
 
9.9%
Han 50
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 645
 
4.6%
판 644
 
4.6%
사 554
 
4.0%
도 402
 
2.9%
서 400
 
2.9%
주 339
 
2.4%
인 321
 
2.3%
스 314
 
2.3%
이 284
 
2.0%
디 211
 
1.5%
Other values (697) 9839
70.5%
Latin
ValueCountFrequency (%)
o 114
 
6.5%
e 101
 
5.8%
n 90
 
5.1%
a 84
 
4.8%
i 73
 
4.2%
s 63
 
3.6%
E 63
 
3.6%
O 62
 
3.5%
S 62
 
3.5%
r 59
 
3.4%
Other values (41) 985
56.1%
Han
ValueCountFrequency (%)
版 3
 
6.0%
社 3
 
6.0%
出 3
 
6.0%
享 2
 
4.0%
木 2
 
4.0%
志 2
 
4.0%
言 2
 
4.0%
正 2
 
4.0%
漢 1
 
2.0%
三 1
 
2.0%
Other values (29) 29
58.0%
Common
ValueCountFrequency (%)
911
47.5%
) 415
21.6%
( 408
21.3%
1 69
 
3.6%
. 23
 
1.2%
& 20
 
1.0%
2 13
 
0.7%
0 7
 
0.4%
- 7
 
0.4%
5 7
 
0.4%
Other values (17) 39
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13953
78.9%
ASCII 3668
 
20.7%
CJK 50
 
0.3%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
911
24.8%
) 415
 
11.3%
( 408
 
11.1%
o 114
 
3.1%
e 101
 
2.8%
n 90
 
2.5%
a 84
 
2.3%
i 73
 
2.0%
1 69
 
1.9%
s 63
 
1.7%
Other values (63) 1340
36.5%
Hangul
ValueCountFrequency (%)
출 645
 
4.6%
판 644
 
4.6%
사 554
 
4.0%
도 402
 
2.9%
서 400
 
2.9%
주 339
 
2.4%
인 321
 
2.3%
스 314
 
2.3%
이 284
 
2.0%
디 211
 
1.5%
Other values (697) 9839
70.5%
CJK
ValueCountFrequency (%)
版 3
 
6.0%
社 3
 
6.0%
出 3
 
6.0%
享 2
 
4.0%
木 2
 
4.0%
志 2
 
4.0%
言 2
 
4.0%
正 2
 
4.0%
漢 1
 
2.0%
三 1
 
2.0%
Other values (29) 29
58.0%
None
ValueCountFrequency (%)
· 3
42.9%
」 1
 
14.3%
「 1
 
14.3%
＆ 1
 
14.3%
！ 1
 
14.3%

최종수정시점
Real number (ℝ)

Distinct2459
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145675 × 1013
Minimum2.0021018 × 1013
Maximum2.0210131 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:18.572232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0030219 × 1013
Q12.0120412 × 1013
median2.0160329 × 1013
Q32.0190118 × 1013
95-th percentile2.0201016 × 1013
Maximum2.0210131 × 1013
Range1.8911298 × 1011
Interquartile range (IQR)6.9706014 × 1010

Descriptive statistics

Standard deviation5.0536685 × 1010
Coefficient of variation (CV)0.0025085625
Kurtosis-0.0062928026
Mean2.0145675 × 1013
Median Absolute Deviation (MAD)3.011596 × 1010
Skewness-0.91358466
Sum5.179453 × 1016
Variance2.5539565 × 1021
MonotonicityNot monotonic
2024-04-17T05:51:18.685736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161415 98
 
3.8%
20021018131551 16
 
0.6%
20191220152220 1
 
< 0.1%
20140825140516 1
 
< 0.1%
20080526131429 1
 
< 0.1%
20120127174434 1
 
< 0.1%
20070330104444 1
 
< 0.1%
20110414182727 1
 
< 0.1%
20130305161944 1
 
< 0.1%
20161229161343 1
 
< 0.1%
Other values (2449) 2449
95.3%
ValueCountFrequency (%)
20021018131551 16
0.6%
20030109154337 1
 
< 0.1%
20030110140912 1
 
< 0.1%
20030110141558 1
 
< 0.1%
20030113140934 1
 
< 0.1%
20030113142159 1
 
< 0.1%
20030114130941 1
 
< 0.1%
20030114142426 1
 
< 0.1%
20030114144554 1
 
< 0.1%
20030114144824 1
 
< 0.1%
ValueCountFrequency (%)
20210131110544 1
< 0.1%
20210129181115 1
< 0.1%
20210129172348 1
< 0.1%
20210129165251 1
< 0.1%
20210129150106 1
< 0.1%
20210128181537 1
< 0.1%
20210128175646 1
< 0.1%
20210127153346 1
< 0.1%
20210127153147 1
< 0.1%
20210126173051 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
I
2200 
U
371 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2200
85.6%
U 371
 
14.4%

Length

2024-04-17T05:51:18.790140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:18.861117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2200
85.6%
u 371
 
14.4%

데이터갱신일자
Date

Distinct490
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-02 02:40:00
2024-04-17T05:51:18.940370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T05:51:19.051598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1921
Distinct (%)76.6%
Missing64
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean388915.47
Minimum171582.9
Maximum407986.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:19.169816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171582.9
5-th percentile380718.59
Q1385570.02
median388757.9
Q3392213.2
95-th percentile397883.49
Maximum407986.86
Range236403.96
Interquartile range (IQR)6643.1814

Descriptive statistics

Standard deviation6578.2818
Coefficient of variation (CV)0.016914426
Kurtosis474.75327
Mean388915.47
Median Absolute Deviation (MAD)3272.8177
Skewness-14.358636
Sum9.7501108 × 108
Variance43273792
MonotonicityNot monotonic
2024-04-17T05:51:19.526452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 21
 
0.8%
393573.517296519 17
 
0.7%
393527.757337839 13
 
0.5%
392474.578116018 12
 
0.5%
393963.840834294 12
 
0.5%
395615.201853958 12
 
0.5%
392635.637555849 8
 
0.3%
385464.220370345 8
 
0.3%
390774.849528 8
 
0.3%
380267.075260668 8
 
0.3%
Other values (1911) 2388
92.9%
(Missing) 64
 
2.5%
ValueCountFrequency (%)
171582.904300544 1
< 0.1%
366344.108366431 1
< 0.1%
367397.014357092 1
< 0.1%
367753.838455399 1
< 0.1%
369071.601644319 1
< 0.1%
372957.87946454 1
< 0.1%
373002.141594401 1
< 0.1%
373016.981172454 1
< 0.1%
373264.423690818 1
< 0.1%
373314.657115866 1
< 0.1%
ValueCountFrequency (%)
407986.863672426 1
< 0.1%
407871.508884898 1
< 0.1%
407395.443826031 1
< 0.1%
407073.742691922 1
< 0.1%
406893.618685228 1
< 0.1%
404487.060724101 1
< 0.1%
403297.832205788 1
< 0.1%
403194.704994869 1
< 0.1%
403180.44004355 1
< 0.1%
402789.748360406 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1922
Distinct (%)76.7%
Missing64
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean186942.62
Minimum173969.72
Maximum439879.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:19.631746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173969.72
5-th percentile179420.02
Q1183336.81
median186679.44
Q3189529.75
95-th percentile196389.72
Maximum439879.55
Range265909.83
Interquartile range (IQR)6192.9417

Descriptive statistics

Standard deviation7326.1171
Coefficient of variation (CV)0.039189122
Kurtosis566.37314
Mean186942.62
Median Absolute Deviation (MAD)3011.0209
Skewness16.626757
Sum4.6866515 × 108
Variance53671992
MonotonicityNot monotonic
2024-04-17T05:51:19.745428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 21
 
0.8%
188018.687138009 17
 
0.7%
188440.756376893 13
 
0.5%
188061.35516256 12
 
0.5%
186406.750870936 12
 
0.5%
183052.21115244 11
 
0.4%
180225.685982991 8
 
0.3%
186582.791097672 8
 
0.3%
182281.089746 8
 
0.3%
189289.429287616 8
 
0.3%
Other values (1912) 2389
92.9%
(Missing) 64
 
2.5%
ValueCountFrequency (%)
173969.719902491 1
 
< 0.1%
174173.508031304 1
 
< 0.1%
174325.807501869 1
 
< 0.1%
174330.963124212 2
 
0.1%
174835.290190736 6
0.2%
174974.190976549 1
 
< 0.1%
175022.434610316 1
 
< 0.1%
175057.154813024 1
 
< 0.1%
175506.826710111 1
 
< 0.1%
175587.893728847 1
 
< 0.1%
ValueCountFrequency (%)
439879.548598189 1
< 0.1%
206483.746356107 2
0.1%
206353.855586145 1
< 0.1%
205995.903772118 1
< 0.1%
205812.2818851 1
< 0.1%
205783.300431754 1
< 0.1%
205602.344977284 1
< 0.1%
205553.364264018 1
< 0.1%
205529.184735321 1
< 0.1%
205509.071575196 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
출판사
2571 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 2571
100.0%

Length

2024-04-17T05:51:19.844405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:19.916710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2571
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
출판인쇄업
2571 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 2571
100.0%

Length

2024-04-17T05:51:19.994994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:20.071994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2571
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)8.4%
Missing2284
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean5.5226481
Minimum0
Maximum49
Zeros29
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:20.149618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile17
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.0202464
Coefficient of variation (CV)1.0901014
Kurtosis12.049143
Mean5.5226481
Median Absolute Deviation (MAD)2
Skewness2.8645523
Sum1585
Variance36.243366
MonotonicityNot monotonic
2024-04-17T05:51:20.244220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 40
 
1.6%
4 40
 
1.6%
3 36
 
1.4%
5 35
 
1.4%
0 29
 
1.1%
6 23
 
0.9%
1 18
 
0.7%
7 14
 
0.5%
8 8
 
0.3%
16 6
 
0.2%
Other values (14) 38
 
1.5%
(Missing) 2284
88.8%
ValueCountFrequency (%)
0 29
1.1%
1 18
0.7%
2 40
1.6%
3 36
1.4%
4 40
1.6%
5 35
1.4%
6 23
0.9%
7 14
 
0.5%
8 8
 
0.3%
9 4
 
0.2%
ValueCountFrequency (%)
49 1
 
< 0.1%
31 1
 
< 0.1%
27 3
0.1%
25 3
0.1%
21 4
0.2%
18 1
 
< 0.1%
17 3
0.1%
16 6
0.2%
15 5
0.2%
14 2
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
2409 
주택가주변
 
59
기타
 
47
아파트지역
 
46
학교정화(상대)
 
7
Other values (3)
 
3

Length

Max length8
Median length4
Mean length4.0194477
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2409
93.7%
주택가주변 59
 
2.3%
기타 47
 
1.8%
아파트지역 46
 
1.8%
학교정화(상대) 7
 
0.3%
결혼예식장주변 1
 
< 0.1%
유흥업소밀집지역 1
 
< 0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-17T05:51:20.341929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:20.430904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2409
93.7%
주택가주변 59
 
2.3%
기타 47
 
1.8%
아파트지역 46
 
1.8%
학교정화(상대 7
 
0.3%
결혼예식장주변 1
 
< 0.1%
유흥업소밀집지역 1
 
< 0.1%
학교정화(절대 1
 
< 0.1%

제작취급품목내용
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing2565
Missing (%)99.8%
Memory size20.2 KiB
2024-04-17T05:51:20.544568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.5
Min length2

Characters and Unicode

Total characters27
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row일반
2nd row학술서적
3rd row일반서적
4th row일반서적
5th row어학분야
ValueCountFrequency (%)
일반서적 2
25.0%
일반 1
12.5%
학술서적 1
12.5%
어학분야 1
12.5%
책자 1
12.5%
디자인 1
12.5%
제본 1
12.5%
2024-04-17T05:51:20.761118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 3
11.1%
반 3
11.1%
서 3
11.1%
적 3
11.1%
학 2
 
7.4%
자 2
 
7.4%
2
 
7.4%
술 1
 
3.7%
어 1
 
3.7%
분 1
 
3.7%
Other values (6) 6
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
92.6%
Space Separator 2
 
7.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3
12.0%
반 3
12.0%
서 3
12.0%
적 3
12.0%
학 2
 
8.0%
자 2
 
8.0%
술 1
 
4.0%
어 1
 
4.0%
분 1
 
4.0%
야 1
 
4.0%
Other values (5) 5
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
92.6%
Common 2
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3
12.0%
반 3
12.0%
서 3
12.0%
적 3
12.0%
학 2
 
8.0%
자 2
 
8.0%
술 1
 
4.0%
어 1
 
4.0%
분 1
 
4.0%
야 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
92.6%
ASCII 2
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 3
12.0%
반 3
12.0%
서 3
12.0%
적 3
12.0%
학 2
 
8.0%
자 2
 
8.0%
술 1
 
4.0%
어 1
 
4.0%
분 1
 
4.0%
야 1
 
4.0%
Other values (5) 5
20.0%
ASCII
ValueCountFrequency (%)
2
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct357
Distinct (%)85.6%
Missing2154
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean380.00216
Minimum0
Maximum84359
Zeros29
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:20.870235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134.96
median72
Q3127.16
95-th percentile348.098
Maximum84359
Range84359
Interquartile range (IQR)92.2

Descriptive statistics

Standard deviation4283.8252
Coefficient of variation (CV)11.27316
Kurtosis359.21049
Mean380.00216
Median Absolute Deviation (MAD)39.6
Skewness18.5745
Sum158460.9
Variance18351158
MonotonicityNot monotonic
2024-04-17T05:51:20.971804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
1.1%
33.0 7
 
0.3%
20.0 3
 
0.1%
33.14 3
 
0.1%
66.0 3
 
0.1%
42.9 2
 
0.1%
21.0 2
 
0.1%
90.0 2
 
0.1%
146.85 2
 
0.1%
18.0 2
 
0.1%
Other values (347) 362
 
14.1%
(Missing) 2154
83.8%
ValueCountFrequency (%)
0.0 29
1.1%
3.97 1
 
< 0.1%
5.0 1
 
< 0.1%
5.76 1
 
< 0.1%
6.05 1
 
< 0.1%
8.1 1
 
< 0.1%
8.13 1
 
< 0.1%
8.27 1
 
< 0.1%
9.57 1
 
< 0.1%
9.9 1
 
< 0.1%
ValueCountFrequency (%)
84359.0 1
< 0.1%
23435.37 1
< 0.1%
3172.5 1
< 0.1%
1595.35 1
< 0.1%
1404.0 1
< 0.1%
1330.0 1
< 0.1%
1297.85 1
< 0.1%
999.35 1
< 0.1%
970.5 1
< 0.1%
836.42 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)6.4%
Missing2213
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean4.3435754
Minimum0
Maximum42
Zeros27
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:21.072376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile15
Maximum42
Range42
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.9571667
Coefficient of variation (CV)1.1412641
Kurtosis12.818477
Mean4.3435754
Median Absolute Deviation (MAD)2
Skewness2.966776
Sum1555
Variance24.573502
MonotonicityNot monotonic
2024-04-17T05:51:21.191292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 67
 
2.6%
2 61
 
2.4%
4 56
 
2.2%
3 47
 
1.8%
0 27
 
1.1%
5 25
 
1.0%
6 15
 
0.6%
8 10
 
0.4%
7 10
 
0.4%
15 10
 
0.4%
Other values (13) 30
 
1.2%
(Missing) 2213
86.1%
ValueCountFrequency (%)
0 27
1.1%
1 67
2.6%
2 61
2.4%
3 47
1.8%
4 56
2.2%
5 25
 
1.0%
6 15
 
0.6%
7 10
 
0.4%
8 10
 
0.4%
9 2
 
0.1%
ValueCountFrequency (%)
42 1
 
< 0.1%
27 2
 
0.1%
25 1
 
< 0.1%
21 2
 
0.1%
20 3
 
0.1%
17 3
 
0.1%
16 1
 
< 0.1%
15 10
0.4%
14 2
 
0.1%
13 3
 
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.2%
Missing2418
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.0326797
Minimum0
Maximum15
Zeros41
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-04-17T05:51:21.285438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2.4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4483125
Coefficient of variation (CV)1.4024799
Kurtosis57.868293
Mean1.0326797
Median Absolute Deviation (MAD)0
Skewness6.4724275
Sum158
Variance2.0976092
MonotonicityNot monotonic
2024-04-17T05:51:21.367182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 93
 
3.6%
0 41
 
1.6%
2 11
 
0.4%
3 3
 
0.1%
4 2
 
0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
15 1
 
< 0.1%
(Missing) 2418
94.0%
ValueCountFrequency (%)
0 41
1.6%
1 93
3.6%
2 11
 
0.4%
3 3
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 2
 
0.1%
3 3
 
0.1%
2 11
 
0.4%
1 93
3.6%
0 41
1.6%

건물용도명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
2122 
근린생활시설
262 
아파트
 
71
사무실
 
39
단독주택
 
26
Other values (9)
 
51

Length

Max length15
Median length4
Mean length4.2205368
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2122
82.5%
근린생활시설 262
 
10.2%
아파트 71
 
2.8%
사무실 39
 
1.5%
단독주택 26
 
1.0%
다세대주택 11
 
0.4%
다중주택(공동주택적용) 9
 
0.4%
교육연구시설 9
 
0.4%
기타 7
 
0.3%
다가구용 주택(공동주택적용) 6
 
0.2%
Other values (4) 9
 
0.4%

Length

2024-04-17T05:51:21.468444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2122
82.3%
근린생활시설 262
 
10.2%
아파트 71
 
2.8%
사무실 39
 
1.5%
단독주택 26
 
1.0%
다세대주택 11
 
0.4%
다중주택(공동주택적용 9
 
0.3%
교육연구시설 9
 
0.3%
기타 7
 
0.3%
다가구용 6
 
0.2%
Other values (5) 15
 
0.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
<NA>
2287 
주거지역
 
84
일반주거지역
 
81
일반상업지역
 
35
상업지역
 
31
Other values (9)
 
53

Length

Max length6
Median length4
Mean length4.1194088
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2287
89.0%
주거지역 84
 
3.3%
일반주거지역 81
 
3.2%
일반상업지역 35
 
1.4%
상업지역 31
 
1.2%
준주거지역 21
 
0.8%
근린상업지역 15
 
0.6%
준공업지역 4
 
0.2%
자연녹지지역 4
 
0.2%
중심상업지역 3
 
0.1%
Other values (4) 6
 
0.2%

Length

2024-04-17T05:51:21.568657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2287
89.0%
주거지역 84
 
3.3%
일반주거지역 81
 
3.2%
일반상업지역 35
 
1.4%
상업지역 31
 
1.2%
준주거지역 21
 
0.8%
근린상업지역 15
 
0.6%
준공업지역 4
 
0.2%
자연녹지지역 4
 
0.2%
중심상업지역 3
 
0.1%
Other values (4) 6
 
0.2%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2571
Missing (%)100.0%
Memory size22.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01출판사04_17_01_P3250000CDFG125100201900000120190107<NA>3폐업3폐업20191220<NA><NA><NA>051-246-1850<NA><NA>부산광역시 중구 신창동2가 2-10번지부산광역시 중구 광복중앙로33번길 16-5, 3층 (신창동2가)48947북 파오스(Book PAOS)20191220152220U2019-12-22 02:40:00.0<NA>384960.711265180018.956433출판사출판인쇄업4기타<NA><NA>4<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>
12출판사04_17_01_P3250000CDFG125100201700000320170504<NA>3폐업3폐업20170517<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청로131번길 8-1 (동광동4가)48932호랑이 출판사20170517160559I2018-08-31 23:59:59.0<NA>385424.294336180154.176693출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23출판사04_17_01_P3250000CDFG125100201100000620110414<NA>3폐업3폐업20171204<NA><NA><NA><NA><NA>600073부산광역시 중구 부평동3가 43-7번지 4층부산광역시 중구 흑교로 15 (부평동3가,4층)<NA>재봉출판사20171204104949I2018-08-31 23:59:59.0<NA>384556.427665179846.387111출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34출판사04_17_01_P3250000CDFG125100198800000219880716<NA>3폐업3폐업20130122<NA><NA><NA>246-3436<NA>600012부산광역시 중구 중앙동2가 49-31번지부산광역시 중구 해관로 41-2 (중앙동2가)<NA>도서출판 빛남20130403171129I2018-08-31 23:59:59.0<NA>385524.191743180073.046656출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45출판사04_17_01_P3250000CDFG125100201100001520111125<NA>3폐업3폐업20140508<NA><NA><NA>051-468-3511<NA>600025부산광역시 중구 동광동5가 48-6번지 청암빌딩 1층부산광역시 중구 동광길 25 (동광동5가)600025합동광고인쇄20141216195544I2018-08-31 23:59:59.0<NA>385418.337346180214.536969출판사출판인쇄업<NA><NA><NA><NA><NA><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>
56출판사04_17_01_P3250000CDFG125100198300000119830309<NA>3폐업3폐업20110323<NA><NA><NA>246-5667<NA>600061부산광역시 중구 신창동1가 40번지부산광역시 중구 대청로90번길 6 (신창동1가)600061도서출판 국제20131230101737I2018-08-31 23:59:59.0<NA>384987.930248180037.78339출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67출판사04_17_01_P3250000CDFG125100198300000219830117<NA>3폐업3폐업20020718<NA><NA><NA><NA><NA>600091부산광역시 중구 대청동1가 30-3번지부산광역시 중구 복병산길6번길 3-1 (대청동1가)<NA>도서출판 지평20040114092719I2018-08-31 23:59:59.0<NA>385231.344128180148.626884출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78출판사04_17_01_P3250000CDFG125100199300000919931101<NA>3폐업3폐업20111201<NA><NA><NA>246-5721,245-6486<NA>600060부산광역시 중구 신창동3가 2번지<NA><NA>신안출판사20120221162032I2018-08-31 23:59:59.0<NA><NA><NA>출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89출판사04_17_01_P3250000CDFG125100199900000619990817<NA>3폐업3폐업20190225<NA><NA><NA>469-0926<NA>600024부산광역시 중구 동광동4가 12-6번지부산광역시 중구 대청로135번길 9-1 (동광동4가)600024도서출판 한길20190225172936U2019-05-10 02:40:00.0<NA>385432.942422180182.635362출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910출판사04_17_01_P3250000CDFG125100199900000819991026<NA>3폐업3폐업20050707<NA><NA><NA>469-1411<NA>600815부산광역시 중구 중앙동4가 40-25번지부산광역시 중구 동광길 42 (중앙동4가)<NA>한빛문화사20061010143057I2018-08-31 23:59:59.0<NA>385449.586152180283.916945출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
25612562출판사04_17_01_P3330000CDFG125100202000004820201211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1291-101부산광역시 해운대구 재반로242번길 24, 3층 (반여동)48027스웨브로 코포레이션20201222085708U2020-12-24 02:40:00.0<NA>394154.535269190890.389582출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25622563출판사04_17_01_P3330000CDFG125100202000004520201203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 640-24 국제빌딩부산광역시 해운대구 해운대로 575, 국제빌딩 1401호 (우동)48088열방출판20201203130418I2020-12-05 00:23:25.0<NA>396225.196088186827.050656출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25632564출판사04_17_01_P3330000CDFG125100202000005120170224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1059-1부산광역시 해운대구 재반로 119-15, 401호 (재송동)48054(주)한이재미20201224085320I2020-12-26 00:23:21.0<NA>393563.691479189827.274524출판사출판인쇄업<NA><NA><NA><NA><NA><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>
25642565출판사04_17_01_P3330000CDFG125100202000005020201222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1291-101부산광역시 해운대구 재반로242번길 24, 3층 (반여동)48027빛비출판20201222200028I2020-12-24 00:23:06.0<NA>394154.535269190890.389582출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25652566출판사04_17_01_P3330000CDFG125100202100000520160822<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1434 썬프라자부산광역시 해운대구 마린시티3로 1, 2층 213호 (우동, 썬프라자)48092도서출판 개봉부20210122085451I2021-01-23 00:23:11.0<NA>395615.201854186406.750871출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25662567출판사04_17_01_P3330000CDFG125100202000004420201125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 974 경동아파트부산광역시 해운대구 해운대해변로 85, 105동 703호 (우동, 경동아파트)48091Bonheur Archive20201125142250I2020-11-27 00:23:08.0<NA>395166.538169186947.838505출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25672568출판사04_17_01_P3330000CDFG125100202100000320180423<NA>1영업/정상13영업중<NA><NA><NA><NA>0517140774<NA><NA>부산광역시 해운대구 우동 1466-2 영상산업센터부산광역시 해운대구 센텀서로 39, 영상산업센터 709호 (우동)48058주식회사 엔에스솔루션20210113184200I2021-01-15 00:23:04.0<NA>393674.032956187973.297243출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25682569출판사04_17_01_P3330000CDFG125100202100000420210119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1460 센텀 T 타워부산광역시 해운대구 센텀중앙로 66, 센텀 T 타워 1203호 (우동)48059(주)시네포엠20210119171449I2021-01-21 00:23:03.0<NA>393828.352613188165.148419출판사출판인쇄업<NA><NA><NA>21.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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