Overview

Dataset statistics

Number of variables60
Number of observations2590
Missing cells81553
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

Description2021-04-01
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 (72.7%)Imbalance
지역구분명 is highly imbalanced (79.1%)Imbalance
폐업일자 has 1897 (73.2%) missing valuesMissing
재개업일자 has 2590 (100.0%) missing valuesMissing
소재지전화 has 1074 (41.5%) missing valuesMissing
소재지면적 has 2590 (100.0%) missing valuesMissing
소재지우편번호 has 1127 (43.5%) missing valuesMissing
소재지전체주소 has 58 (2.2%) missing valuesMissing
도로명전체주소 has 86 (3.3%) missing valuesMissing
도로명우편번호 has 713 (27.5%) missing valuesMissing
업태구분명 has 2590 (100.0%) missing valuesMissing
좌표정보(x) has 65 (2.5%) missing valuesMissing
좌표정보(y) has 65 (2.5%) missing valuesMissing
총층수 has 2301 (88.8%) missing valuesMissing
제작취급품목내용 has 2584 (99.8%) missing valuesMissing
시설면적 has 2168 (83.7%) missing valuesMissing
지상층수 has 2229 (86.1%) missing valuesMissing
지하층수 has 2436 (94.1%) missing valuesMissing
통로너비 has 2590 (100.0%) missing valuesMissing
조명시설조도 has 2590 (100.0%) missing valuesMissing
노래방실수 has 2590 (100.0%) missing valuesMissing
청소년실수 has 2590 (100.0%) missing valuesMissing
비상계단여부 has 2590 (100.0%) missing valuesMissing
비상구여부 has 2590 (100.0%) missing valuesMissing
자동환기여부 has 2590 (100.0%) missing valuesMissing
청소년실여부 has 2590 (100.0%) missing valuesMissing
특수조명여부 has 2590 (100.0%) missing valuesMissing
방음시설여부 has 2590 (100.0%) missing valuesMissing
비디오재생기명 has 2590 (100.0%) missing valuesMissing
조명시설유무 has 2590 (100.0%) missing valuesMissing
음향시설여부 has 2590 (100.0%) missing valuesMissing
편의시설여부 has 2590 (100.0%) missing valuesMissing
소방시설여부 has 2590 (100.0%) missing valuesMissing
총게임기수 has 2590 (100.0%) missing valuesMissing
기존게임업외업종명 has 2590 (100.0%) missing valuesMissing
제공게임물명 has 2590 (100.0%) missing valuesMissing
공연장형태구분명 has 2590 (100.0%) missing valuesMissing
품목명 has 2590 (100.0%) missing valuesMissing
최초등록시점 has 2590 (100.0%) missing valuesMissing
Unnamed: 59 has 2590 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -39.59826457)Skewed
소재지우편번호 is highly skewed (γ1 = -31.28628321)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 (1.0%) zerosZeros
지하층수 has 41 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-16 20:50:59.048192
Analysis finished2024-04-16 20:51:00.188574
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1295.5
Minimum1
Maximum2590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:00.244648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130.45
Q1648.25
median1295.5
Q31942.75
95-th percentile2460.55
Maximum2590
Range2589
Interquartile range (IQR)1294.5

Descriptive statistics

Standard deviation747.81292
Coefficient of variation (CV)0.57723884
Kurtosis-1.2
Mean1295.5
Median Absolute Deviation (MAD)647.5
Skewness0
Sum3355345
Variance559224.17
MonotonicityStrictly increasing
2024-04-17T05:51:00.349270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1702 1
 
< 0.1%
1724 1
 
< 0.1%
1725 1
 
< 0.1%
1726 1
 
< 0.1%
1727 1
 
< 0.1%
1728 1
 
< 0.1%
1729 1
 
< 0.1%
1730 1
 
< 0.1%
1731 1
 
< 0.1%
Other values (2580) 2580
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 (%)
2590 1
< 0.1%
2589 1
< 0.1%
2588 1
< 0.1%
2587 1
< 0.1%
2586 1
< 0.1%
2585 1
< 0.1%
2584 1
< 0.1%
2583 1
< 0.1%
2582 1
< 0.1%
2581 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
출판사
2590 

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 2590
100.0%

Length

2024-04-17T05:51:00.455763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:00.534204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2590
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
04_17_01_P
2590 

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 2590
100.0%

Length

2024-04-17T05:51:00.607920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:00.675755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2590
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3318420.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:00.739474image/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 deviation41944.073
Coefficient of variation (CV)0.012639769
Kurtosis-0.89764993
Mean3318420.8
Median Absolute Deviation (MAD)30000
Skewness0.097273108
Sum8.59471 × 109
Variance1.7593052 × 109
MonotonicityNot monotonic
2024-04-17T05:51:00.833490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 449
17.3%
3330000 421
16.3%
3250000 268
10.3%
3350000 204
7.9%
3310000 183
7.1%
3380000 172
 
6.6%
3370000 159
 
6.1%
3300000 147
 
5.7%
3390000 108
 
4.2%
3270000 97
 
3.7%
Other values (6) 382
14.7%
ValueCountFrequency (%)
3250000 268
10.3%
3260000 64
 
2.5%
3270000 97
 
3.7%
3280000 50
 
1.9%
3290000 449
17.3%
3300000 147
 
5.7%
3310000 183
7.1%
3320000 92
 
3.6%
3330000 421
16.3%
3340000 94
 
3.6%
ValueCountFrequency (%)
3400000 57
 
2.2%
3390000 108
 
4.2%
3380000 172
6.6%
3370000 159
 
6.1%
3360000 25
 
1.0%
3350000 204
7.9%
3340000 94
 
3.6%
3330000 421
16.3%
3320000 92
 
3.6%
3310000 183
7.1%

관리번호
Text

Distinct673
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
2024-04-17T05:51:01.021107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters51800
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

Unique264 ?
Unique (%)10.2%

Sample

1st rowCDFG1251002019000001
2nd rowCDFG1251002017000003
3rd rowCDFG1251002011000006
4th rowCDFG1251001988000002
5th rowCDFG1251002011000015
ValueCountFrequency (%)
cdfg1251002020000001 16
 
0.6%
cdfg1251002017000004 15
 
0.6%
cdfg1251002019000002 15
 
0.6%
cdfg1251002020000003 15
 
0.6%
cdfg1251002017000001 15
 
0.6%
cdfg1251002018000002 14
 
0.5%
cdfg1251002019000001 14
 
0.5%
cdfg1251002019000004 14
 
0.5%
cdfg1251002017000002 14
 
0.5%
cdfg1251002018000001 14
 
0.5%
Other values (663) 2444
94.4%
2024-04-17T05:51:01.282105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20754
40.1%
1 8137
 
15.7%
2 5887
 
11.4%
5 3105
 
6.0%
C 2590
 
5.0%
D 2590
 
5.0%
F 2590
 
5.0%
G 2590
 
5.0%
9 954
 
1.8%
8 557
 
1.1%
Other values (4) 2046
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41440
80.0%
Uppercase Letter 10360
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20754
50.1%
1 8137
 
19.6%
2 5887
 
14.2%
5 3105
 
7.5%
9 954
 
2.3%
8 557
 
1.3%
3 540
 
1.3%
4 524
 
1.3%
7 503
 
1.2%
6 479
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 2590
25.0%
D 2590
25.0%
F 2590
25.0%
G 2590
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41440
80.0%
Latin 10360
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20754
50.1%
1 8137
 
19.6%
2 5887
 
14.2%
5 3105
 
7.5%
9 954
 
2.3%
8 557
 
1.3%
3 540
 
1.3%
4 524
 
1.3%
7 503
 
1.2%
6 479
 
1.2%
Latin
ValueCountFrequency (%)
C 2590
25.0%
D 2590
25.0%
F 2590
25.0%
G 2590
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20754
40.1%
1 8137
 
15.7%
2 5887
 
11.4%
5 3105
 
6.0%
C 2590
 
5.0%
D 2590
 
5.0%
F 2590
 
5.0%
G 2590
 
5.0%
9 954
 
1.8%
8 557
 
1.1%
Other values (4) 2046
 
3.9%

인허가일자
Real number (ℝ)

SKEWED 

Distinct2036
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098597
Minimum10011025
Maximum20210224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:01.401890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011025
5-th percentile19931008
Q120053446
median20121031
Q320170524
95-th percentile20200621
Maximum20210224
Range10199199
Interquartile range (IQR)117077.5

Descriptive statistics

Standard deviation215692.99
Coefficient of variation (CV)0.010731743
Kurtosis1849.2394
Mean20098597
Median Absolute Deviation (MAD)50810
Skewness-39.598265
Sum5.2055367 × 1010
Variance4.6523464 × 1010
MonotonicityNot monotonic
2024-04-17T05:51:01.516263image/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%
20190110 4
 
0.2%
20110622 4
 
0.2%
20120831 4
 
0.2%
20141111 4
 
0.2%
20150922 4
 
0.2%
20130327 4
 
0.2%
20180405 4
 
0.2%
Other values (2026) 2537
98.0%
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 (%)
20210224 1
< 0.1%
20210223 1
< 0.1%
20210222 1
< 0.1%
20210219 2
0.1%
20210215 1
< 0.1%
20210210 1
< 0.1%
20210209 1
< 0.1%
20210208 1
< 0.1%
20210207 1
< 0.1%
20210205 1
< 0.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2588 
20170224
 
1
20200423
 
1

Length

Max length8
Median length4
Mean length4.0030888
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> 2588
99.9%
20170224 1
 
< 0.1%
20200423 1
 
< 0.1%

Length

2024-04-17T05:51:01.625395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:01.709724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2588
99.9%
20170224 1
 
< 0.1%
20200423 1
 
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
1
1864 
3
645 
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 1864
72.0%
3 645
 
24.9%
4 79
 
3.1%
2 2
 
0.1%

Length

2024-04-17T05:51:01.787946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:02.079831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1864
72.0%
3 645
 
24.9%
4 79
 
3.1%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
영업/정상
1864 
폐업
645 
취소/말소/만료/정지/중지
 
79
휴업
 
2

Length

Max length14
Median length5
Mean length4.5250965
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1864
72.0%
폐업 645
 
24.9%
취소/말소/만료/정지/중지 79
 
3.1%
휴업 2
 
0.1%

Length

2024-04-17T05:51:02.174326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:02.253383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1864
72.0%
폐업 645
 
24.9%
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%
Mean11.147876
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:02.321484image/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 deviation5.9462107
Coefficient of variation (CV)0.53339402
Kurtosis4.976983
Mean11.147876
Median Absolute Deviation (MAD)0
Skewness1.1801711
Sum28873
Variance35.357421
MonotonicityNot monotonic
2024-04-17T05:51:02.402409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 1863
71.9%
3 645
 
24.9%
35 63
 
2.4%
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%
3 645
 
24.9%
13 1863
71.9%
14 1
 
< 0.1%
30 2
 
0.1%
31 13
 
0.5%
33 1
 
< 0.1%
35 63
 
2.4%
ValueCountFrequency (%)
35 63
 
2.4%
33 1
 
< 0.1%
31 13
 
0.5%
30 2
 
0.1%
14 1
 
< 0.1%
13 1863
71.9%
3 645
 
24.9%
2 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
영업중
1863 
폐업
645 
직권말소
 
63
등록취소
 
13
허가취소
 
2
Other values (3)
 
4

Length

Max length4
Median length3
Mean length2.7803089
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1863
71.9%
폐업 645
 
24.9%
직권말소 63
 
2.4%
등록취소 13
 
0.5%
허가취소 2
 
0.1%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
전입 1
 
< 0.1%

Length

2024-04-17T05:51:02.508881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:02.615069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1863
71.9%
폐업 645
 
24.9%
직권말소 63
 
2.4%
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 

Distinct504
Distinct (%)72.7%
Missing1897
Missing (%)73.2%
Infinite0
Infinite (%)0.0%
Mean20120815
Minimum19940331
Maximum20210217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:02.728149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940331
5-th percentile20000821
Q120070803
median20140320
Q320171124
95-th percentile20200805
Maximum20210217
Range269886
Interquartile range (IQR)100321

Descriptive statistics

Standard deviation66689.044
Coefficient of variation (CV)0.0033144305
Kurtosis-0.96081137
Mean20120815
Median Absolute Deviation (MAD)49109
Skewness-0.57384713
Sum1.3943725 × 1010
Variance4.4474286 × 109
MonotonicityNot monotonic
2024-04-17T05:51:02.843106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000821 66
 
2.5%
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 (494) 543
 
21.0%
(Missing) 1897
73.2%
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
2.5%
ValueCountFrequency (%)
20210217 1
 
< 0.1%
20210205 1
 
< 0.1%
20210203 1
 
< 0.1%
20210202 2
0.1%
20210201 1
 
< 0.1%
20210129 2
0.1%
20210122 1
 
< 0.1%
20210121 1
 
< 0.1%
20210120 3
0.1%
20210118 2
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2588 
20170828
 
1
20141223
 
1

Length

Max length8
Median length4
Mean length4.0030888
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> 2588
99.9%
20170828 1
 
< 0.1%
20141223 1
 
< 0.1%

Length

2024-04-17T05:51:02.961264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:03.053601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2588
99.9%
20170828 1
 
< 0.1%
20141223 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2588 
20270827
 
1
20150623
 
1

Length

Max length8
Median length4
Mean length4.0030888
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> 2588
99.9%
20270827 1
 
< 0.1%
20150623 1
 
< 0.1%

Length

2024-04-17T05:51:03.154665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:03.237743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2588
99.9%
20270827 1
 
< 0.1%
20150623 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

소재지전화
Text

MISSING 

Distinct1447
Distinct (%)95.4%
Missing1074
Missing (%)41.5%
Memory size20.4 KiB
2024-04-17T05:51:03.371900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.147098
Min length1

Characters and Unicode

Total characters15383
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

Unique1406 ?
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%
818-1661 2
 
0.1%
051-363-3600 2
 
0.1%
051-863-9786 2
 
0.1%
051-245-2337 2
 
0.1%
Other values (1436) 1467
96.8%
2024-04-17T05:51:03.654880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2225
14.5%
0 2191
14.2%
5 1855
12.1%
1 1802
11.7%
4 1151
7.5%
6 1103
7.2%
8 1099
7.1%
7 1073
7.0%
3 1051
6.8%
2 1015
6.6%
Other values (7) 818
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13094
85.1%
Dash Punctuation 2225
 
14.5%
Close Punctuation 40
 
0.3%
Other Punctuation 19
 
0.1%
Open Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2191
16.7%
5 1855
14.2%
1 1802
13.8%
4 1151
8.8%
6 1103
8.4%
8 1099
8.4%
7 1073
8.2%
3 1051
8.0%
2 1015
7.8%
9 754
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 12
63.2%
, 5
26.3%
* 2
 
10.5%
Dash Punctuation
ValueCountFrequency (%)
- 2225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15383
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2225
14.5%
0 2191
14.2%
5 1855
12.1%
1 1802
11.7%
4 1151
7.5%
6 1103
7.2%
8 1099
7.1%
7 1073
7.0%
3 1051
6.8%
2 1015
6.6%
Other values (7) 818
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2225
14.5%
0 2191
14.2%
5 1855
12.1%
1 1802
11.7%
4 1151
7.5%
6 1103
7.2%
8 1099
7.1%
7 1073
7.0%
3 1051
6.8%
2 1015
6.6%
Other values (7) 818
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct605
Distinct (%)41.4%
Missing1127
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean609702.04
Minimum47276
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:03.772661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47276
5-th percentile600024
Q1607769
median611827
Q3614829
95-th percentile617756.6
Maximum619963
Range572687
Interquartile range (IQR)7060

Descriptive statistics

Standard deviation15736.338
Coefficient of variation (CV)0.025809883
Kurtosis1117.7068
Mean609702.04
Median Absolute Deviation (MAD)3026
Skewness-31.286283
Sum8.9199409 × 108
Variance2.4763234 × 108
MonotonicityNot monotonic
2024-04-17T05:51:03.877348image/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%
614854 15
 
0.6%
614843 15
 
0.6%
600082 15
 
0.6%
Other values (595) 1235
47.7%
(Missing) 1127
43.5%
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 

Distinct2372
Distinct (%)93.7%
Missing58
Missing (%)2.2%
Memory size20.4 KiB
2024-04-17T05:51:04.118045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length26.656398
Min length12

Characters and Unicode

Total characters67494
Distinct characters447
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

Unique2246 ?
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 2532
 
20.0%
부산진구 448
 
3.5%
해운대구 405
 
3.2%
중구 260
 
2.1%
금정구 203
 
1.6%
남구 174
 
1.4%
수영구 171
 
1.4%
우동 170
 
1.3%
연제구 159
 
1.3%
부전동 148
 
1.2%
Other values (3427) 7962
63.0%
2024-04-17T05:51:04.499937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10103
 
15.0%
1 3290
 
4.9%
부 3276
 
4.9%
동 3260
 
4.8%
산 3242
 
4.8%
광 2671
 
4.0%
시 2609
 
3.9%
구 2550
 
3.8%
역 2537
 
3.8%
지 2348
 
3.5%
Other values (437) 31608
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40840
60.5%
Decimal Number 14241
 
21.1%
Space Separator 10103
 
15.0%
Dash Punctuation 1991
 
2.9%
Uppercase Letter 165
 
0.2%
Close Punctuation 55
 
0.1%
Open Punctuation 55
 
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 3276
 
8.0%
동 3260
 
8.0%
산 3242
 
7.9%
광 2671
 
6.5%
시 2609
 
6.4%
구 2550
 
6.2%
역 2537
 
6.2%
지 2348
 
5.7%
번 2257
 
5.5%
대 761
 
1.9%
Other values (384) 15329
37.5%
Uppercase Letter
ValueCountFrequency (%)
B 20
12.1%
A 16
 
9.7%
T 15
 
9.1%
S 12
 
7.3%
K 11
 
6.7%
O 11
 
6.7%
L 10
 
6.1%
C 10
 
6.1%
D 9
 
5.5%
I 9
 
5.5%
Other values (11) 42
25.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
17.6%
e 3
17.6%
n 2
11.8%
a 1
 
5.9%
w 1
 
5.9%
v 1
 
5.9%
m 1
 
5.9%
k 1
 
5.9%
p 1
 
5.9%
y 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 3290
23.1%
2 1889
13.3%
0 1580
11.1%
3 1533
10.8%
4 1406
9.9%
5 1159
 
8.1%
6 1004
 
7.1%
7 867
 
6.1%
8 806
 
5.7%
9 707
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 12
46.2%
, 6
23.1%
@ 4
 
15.4%
& 3
 
11.5%
· 1
 
3.8%
Space Separator
ValueCountFrequency (%)
10103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1991
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40840
60.5%
Common 26472
39.2%
Latin 182
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3276
 
8.0%
동 3260
 
8.0%
산 3242
 
7.9%
광 2671
 
6.5%
시 2609
 
6.4%
구 2550
 
6.2%
역 2537
 
6.2%
지 2348
 
5.7%
번 2257
 
5.5%
대 761
 
1.9%
Other values (384) 15329
37.5%
Latin
ValueCountFrequency (%)
B 20
 
11.0%
A 16
 
8.8%
T 15
 
8.2%
S 12
 
6.6%
K 11
 
6.0%
O 11
 
6.0%
L 10
 
5.5%
C 10
 
5.5%
D 9
 
4.9%
I 9
 
4.9%
Other values (23) 59
32.4%
Common
ValueCountFrequency (%)
10103
38.2%
1 3290
 
12.4%
- 1991
 
7.5%
2 1889
 
7.1%
0 1580
 
6.0%
3 1533
 
5.8%
4 1406
 
5.3%
5 1159
 
4.4%
6 1004
 
3.8%
7 867
 
3.3%
Other values (10) 1650
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40840
60.5%
ASCII 26653
39.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10103
37.9%
1 3290
 
12.3%
- 1991
 
7.5%
2 1889
 
7.1%
0 1580
 
5.9%
3 1533
 
5.8%
4 1406
 
5.3%
5 1159
 
4.3%
6 1004
 
3.8%
7 867
 
3.3%
Other values (42) 1831
 
6.9%
Hangul
ValueCountFrequency (%)
부 3276
 
8.0%
동 3260
 
8.0%
산 3242
 
7.9%
광 2671
 
6.5%
시 2609
 
6.4%
구 2550
 
6.2%
역 2537
 
6.2%
지 2348
 
5.7%
번 2257
 
5.5%
대 761
 
1.9%
Other values (384) 15329
37.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2403
Distinct (%)96.0%
Missing86
Missing (%)3.3%
Memory size20.4 KiB
2024-04-17T05:51:04.776031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length34.579073
Min length19

Characters and Unicode

Total characters86586
Distinct characters501
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

Unique2310 ?
Unique (%)92.3%

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 2504
 
15.7%
부산진구 421
 
2.6%
해운대구 417
 
2.6%
중구 248
 
1.6%
금정구 203
 
1.3%
남구 180
 
1.1%
우동 172
 
1.1%
수영구 166
 
1.0%
연제구 157
 
1.0%
동래구 143
 
0.9%
Other values (3550) 11297
71.0%
2024-04-17T05:51:05.175961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13855
 
16.0%
동 3748
 
4.3%
1 3477
 
4.0%
부 3312
 
3.8%
산 3271
 
3.8%
광 2742
 
3.2%
시 2659
 
3.1%
구 2566
 
3.0%
( 2523
 
2.9%
) 2523
 
2.9%
Other values (491) 45910
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49423
57.1%
Decimal Number 15036
 
17.4%
Space Separator 13855
 
16.0%
Open Punctuation 2523
 
2.9%
Close Punctuation 2523
 
2.9%
Other Punctuation 2504
 
2.9%
Dash Punctuation 491
 
0.6%
Uppercase Letter 215
 
0.2%
Lowercase Letter 12
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3748
 
7.6%
부 3312
 
6.7%
산 3271
 
6.6%
광 2742
 
5.5%
시 2659
 
5.4%
구 2566
 
5.2%
역 2508
 
5.1%
로 2419
 
4.9%
대 1595
 
3.2%
호 1186
 
2.4%
Other values (438) 23417
47.4%
Uppercase Letter
ValueCountFrequency (%)
B 31
14.4%
A 31
14.4%
C 17
 
7.9%
S 14
 
6.5%
T 13
 
6.0%
E 12
 
5.6%
K 11
 
5.1%
D 11
 
5.1%
O 10
 
4.7%
L 10
 
4.7%
Other values (13) 55
25.6%
Decimal Number
ValueCountFrequency (%)
1 3477
23.1%
2 2118
14.1%
0 2072
13.8%
3 1662
11.1%
4 1238
 
8.2%
5 1143
 
7.6%
6 991
 
6.6%
7 849
 
5.6%
8 748
 
5.0%
9 738
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
16.7%
s 2
16.7%
b 1
8.3%
a 1
8.3%
p 1
8.3%
v 1
8.3%
m 1
8.3%
c 1
8.3%
i 1
8.3%
k 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 2485
99.2%
/ 13
 
0.5%
& 3
 
0.1%
@ 2
 
0.1%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13855
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2523
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 491
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49423
57.1%
Common 36936
42.7%
Latin 227
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3748
 
7.6%
부 3312
 
6.7%
산 3271
 
6.6%
광 2742
 
5.5%
시 2659
 
5.4%
구 2566
 
5.2%
역 2508
 
5.1%
로 2419
 
4.9%
대 1595
 
3.2%
호 1186
 
2.4%
Other values (438) 23417
47.4%
Latin
ValueCountFrequency (%)
B 31
13.7%
A 31
13.7%
C 17
 
7.5%
S 14
 
6.2%
T 13
 
5.7%
E 12
 
5.3%
K 11
 
4.8%
D 11
 
4.8%
O 10
 
4.4%
L 10
 
4.4%
Other values (23) 67
29.5%
Common
ValueCountFrequency (%)
13855
37.5%
1 3477
 
9.4%
( 2523
 
6.8%
) 2523
 
6.8%
, 2485
 
6.7%
2 2118
 
5.7%
0 2072
 
5.6%
3 1662
 
4.5%
4 1238
 
3.4%
5 1143
 
3.1%
Other values (10) 3840
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49423
57.1%
ASCII 37162
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13855
37.3%
1 3477
 
9.4%
( 2523
 
6.8%
) 2523
 
6.8%
, 2485
 
6.7%
2 2118
 
5.7%
0 2072
 
5.6%
3 1662
 
4.5%
4 1238
 
3.3%
5 1143
 
3.1%
Other values (42) 4066
 
10.9%
Hangul
ValueCountFrequency (%)
동 3748
 
7.6%
부 3312
 
6.7%
산 3271
 
6.6%
광 2742
 
5.5%
시 2659
 
5.4%
구 2566
 
5.2%
역 2508
 
5.1%
로 2419
 
4.9%
대 1595
 
3.2%
호 1186
 
2.4%
Other values (438) 23417
47.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1085
Distinct (%)57.8%
Missing713
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean279841.31
Minimum46005
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:05.298595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46005
5-th percentile46287.8
Q147856
median48927
Q3609763
95-th percentile616805.6
Maximum619963
Range573958
Interquartile range (IQR)561907

Descriptive statistics

Standard deviation277051.08
Coefficient of variation (CV)0.99002923
Kurtosis-1.8740552
Mean279841.31
Median Absolute Deviation (MAD)2184
Skewness0.35679438
Sum5.2526214 × 108
Variance7.6757299 × 1010
MonotonicityNot monotonic
2024-04-17T05:51:05.400964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 49
 
1.9%
48058 29
 
1.1%
48932 18
 
0.7%
48060 15
 
0.6%
612020 11
 
0.4%
600815 9
 
0.3%
600024 9
 
0.3%
608743 9
 
0.3%
600013 8
 
0.3%
612725 8
 
0.3%
Other values (1075) 1712
66.1%
(Missing) 713
27.5%
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

Distinct2512
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
2024-04-17T05:51:05.638037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length6.8679537
Min length1

Characters and Unicode

Total characters17788
Distinct characters826
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

Unique2436 ?
Unique (%)94.1%

Sample

1st row북 파오스(Book PAOS)
2nd row호랑이 출판사
3rd row재봉출판사
4th row도서출판 빛남
5th row합동광고인쇄
ValueCountFrequency (%)
도서출판 304
 
8.7%
주식회사 75
 
2.1%
출판사 37
 
1.1%
무점포 26
 
0.7%
디자인 22
 
0.6%
사단법인 10
 
0.3%
출판부 10
 
0.3%
미디어 6
 
0.2%
6
 
0.2%
교육 6
 
0.2%
Other values (2789) 3006
85.7%
2024-04-17T05:51:06.010019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
 
5.2%
출 649
 
3.6%
판 648
 
3.6%
사 559
 
3.1%
) 416
 
2.3%
( 409
 
2.3%
도 405
 
2.3%
서 403
 
2.3%
주 343
 
1.9%
인 321
 
1.8%
Other values (816) 12717
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14112
79.3%
Lowercase Letter 937
 
5.3%
Space Separator 918
 
5.2%
Uppercase Letter 811
 
4.6%
Close Punctuation 418
 
2.3%
Open Punctuation 411
 
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 649
 
4.6%
판 648
 
4.6%
사 559
 
4.0%
도 405
 
2.9%
서 403
 
2.9%
주 343
 
2.4%
인 321
 
2.3%
스 318
 
2.3%
이 287
 
2.0%
디 212
 
1.5%
Other values (738) 9967
70.6%
Uppercase Letter
ValueCountFrequency (%)
E 63
 
7.8%
S 62
 
7.6%
O 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
12.2%
e 99
10.6%
n 90
 
9.6%
a 84
 
9.0%
i 72
 
7.7%
s 63
 
6.7%
r 58
 
6.2%
t 52
 
5.5%
l 43
 
4.6%
u 36
 
3.8%
Other values (15) 226
24.1%
Decimal Number
ValueCountFrequency (%)
1 69
60.5%
2 13
 
11.4%
0 7
 
6.1%
5 7
 
6.1%
3 5
 
4.4%
4 3
 
2.6%
8 3
 
2.6%
9 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 (%)
) 416
99.5%
] 1
 
0.2%
」 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 409
99.5%
[ 1
 
0.2%
「 1
 
0.2%
Space Separator
ValueCountFrequency (%)
918
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 14062
79.1%
Common 1928
 
10.8%
Latin 1748
 
9.8%
Han 50
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 649
 
4.6%
판 648
 
4.6%
사 559
 
4.0%
도 405
 
2.9%
서 403
 
2.9%
주 343
 
2.4%
인 321
 
2.3%
스 318
 
2.3%
이 287
 
2.0%
디 212
 
1.5%
Other values (699) 9917
70.5%
Latin
ValueCountFrequency (%)
o 114
 
6.5%
e 99
 
5.7%
n 90
 
5.1%
a 84
 
4.8%
i 72
 
4.1%
E 63
 
3.6%
s 63
 
3.6%
S 62
 
3.5%
O 62
 
3.5%
r 58
 
3.3%
Other values (41) 981
56.1%
Han
ValueCountFrequency (%)
出 3
 
6.0%
版 3
 
6.0%
社 3
 
6.0%
言 2
 
4.0%
正 2
 
4.0%
木 2
 
4.0%
志 2
 
4.0%
享 2
 
4.0%
習 1
 
2.0%
令 1
 
2.0%
Other values (29) 29
58.0%
Common
ValueCountFrequency (%)
918
47.6%
) 416
21.6%
( 409
21.2%
1 69
 
3.6%
. 23
 
1.2%
& 20
 
1.0%
2 13
 
0.7%
0 7
 
0.4%
5 7
 
0.4%
- 7
 
0.4%
Other values (17) 39
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14062
79.1%
ASCII 3669
 
20.6%
CJK 50
 
0.3%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
25.0%
) 416
 
11.3%
( 409
 
11.1%
o 114
 
3.1%
e 99
 
2.7%
n 90
 
2.5%
a 84
 
2.3%
i 72
 
2.0%
1 69
 
1.9%
E 63
 
1.7%
Other values (63) 1335
36.4%
Hangul
ValueCountFrequency (%)
출 649
 
4.6%
판 648
 
4.6%
사 559
 
4.0%
도 405
 
2.9%
서 403
 
2.9%
주 343
 
2.4%
인 321
 
2.3%
스 318
 
2.3%
이 287
 
2.0%
디 212
 
1.5%
Other values (699) 9917
70.5%
CJK
ValueCountFrequency (%)
出 3
 
6.0%
版 3
 
6.0%
社 3
 
6.0%
言 2
 
4.0%
正 2
 
4.0%
木 2
 
4.0%
志 2
 
4.0%
享 2
 
4.0%
習 1
 
2.0%
令 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)

Distinct2478
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0146401 × 1013
Minimum2.0021018 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:06.122391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0030219 × 1013
Q12.0120512 × 1013
median2.0160427 × 1013
Q32.0190222 × 1013
95-th percentile2.0201203 × 1013
Maximum2.0210226 × 1013
Range1.8920798 × 1011
Interquartile range (IQR)6.9710513 × 1010

Descriptive statistics

Standard deviation5.0834403 × 1010
Coefficient of variation (CV)0.0025232498
Kurtosis-0.012517623
Mean2.0146401 × 1013
Median Absolute Deviation (MAD)3.0184001 × 1010
Skewness-0.90769652
Sum5.2179178 × 1016
Variance2.5841365 × 1021
MonotonicityNot monotonic
2024-04-17T05:51:06.243913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161415 98
 
3.8%
20021018131551 16
 
0.6%
20170105125129 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%
20140825140516 1
 
< 0.1%
Other values (2468) 2468
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 (%)
20210226113847 1
< 0.1%
20210225141202 1
< 0.1%
20210224174046 1
< 0.1%
20210223151628 1
< 0.1%
20210222183425 1
< 0.1%
20210219181720 1
< 0.1%
20210219161926 1
< 0.1%
20210218113842 1
< 0.1%
20210217153308 1
< 0.1%
20210217152541 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
I
2207 
U
383 

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 2207
85.2%
U 383
 
14.8%

Length

2024-04-17T05:51:06.345193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:06.415429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2207
85.2%
u 383
 
14.8%

데이터갱신일자
Date

Distinct511
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 00:23:01
2024-04-17T05:51:06.495178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T05:51:06.603210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1932
Distinct (%)76.5%
Missing65
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean388915.62
Minimum171582.9
Maximum407986.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:06.722507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171582.9
5-th percentile380700.83
Q1385585.32
median388764.55
Q3392213.2
95-th percentile397899.95
Maximum407986.86
Range236403.96
Interquartile range (IQR)6627.8748

Descriptive statistics

Standard deviation6592.2695
Coefficient of variation (CV)0.016950385
Kurtosis467.39374
Mean388915.62
Median Absolute Deviation (MAD)3274.686
Skewness-14.180755
Sum9.8201194 × 108
Variance43458018
MonotonicityNot monotonic
2024-04-17T05:51:06.831352image/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%
393963.840834294 12
 
0.5%
395615.201853958 12
 
0.5%
392474.578116018 11
 
0.4%
390774.849528 8
 
0.3%
380267.075260668 8
 
0.3%
392635.637555849 8
 
0.3%
387927.951172724 8
 
0.3%
Other values (1922) 2407
92.9%
(Missing) 65
 
2.5%
ValueCountFrequency (%)
171582.904300544 1
< 0.1%
366344.108366431 1
< 0.1%
366972.949891217 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%
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 

Distinct1933
Distinct (%)76.6%
Missing65
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean186943.47
Minimum173725.8
Maximum439879.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:06.939230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173725.8
5-th percentile179418.85
Q1183344.18
median186685.26
Q3189551.35
95-th percentile196305.08
Maximum439879.55
Range266153.74
Interquartile range (IQR)6207.1668

Descriptive statistics

Standard deviation7311.4931
Coefficient of variation (CV)0.039110716
Kurtosis566.83672
Mean186943.47
Median Absolute Deviation (MAD)3005.1976
Skewness16.605295
Sum4.7203227 × 108
Variance53457931
MonotonicityNot monotonic
2024-04-17T05:51:07.318959image/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 10
 
0.4%
180225.685982991 8
 
0.3%
187172.4033403 8
 
0.3%
189289.429287616 8
 
0.3%
186582.791097672 8
 
0.3%
Other values (1923) 2408
93.0%
(Missing) 65
 
2.5%
ValueCountFrequency (%)
173725.8041865 1
 
< 0.1%
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%
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 size20.4 KiB
출판사
2590 

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 2590
100.0%

Length

2024-04-17T05:51:07.426577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:07.499038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2590
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
출판인쇄업
2590 

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 2590
100.0%

Length

2024-04-17T05:51:07.568594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:07.636136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2590
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)8.3%
Missing2301
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean5.5432526
Minimum0
Maximum49
Zeros29
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:07.708707image/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 deviation6.028782
Coefficient of variation (CV)1.0875893
Kurtosis11.840528
Mean5.5432526
Median Absolute Deviation (MAD)2
Skewness2.8350175
Sum1602
Variance36.346213
MonotonicityNot monotonic
2024-04-17T05:51:07.816478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 41
 
1.6%
4 40
 
1.5%
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) 39
 
1.5%
(Missing) 2301
88.8%
ValueCountFrequency (%)
0 29
1.1%
1 18
0.7%
2 41
1.6%
3 36
1.4%
4 40
1.5%
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 6
0.2%
14 2
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2426 
주택가주변
 
60
기타
 
47
아파트지역
 
47
학교정화(상대)
 
7
Other values (3)
 
3

Length

Max length8
Median length4
Mean length4.0200772
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> 2426
93.7%
주택가주변 60
 
2.3%
기타 47
 
1.8%
아파트지역 47
 
1.8%
학교정화(상대) 7
 
0.3%
결혼예식장주변 1
 
< 0.1%
유흥업소밀집지역 1
 
< 0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-17T05:51:07.923527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:08.013984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2426
93.7%
주택가주변 60
 
2.3%
기타 47
 
1.8%
아파트지역 47
 
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%
Missing2584
Missing (%)99.8%
Memory size20.4 KiB
2024-04-17T05:51:08.126776image/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%
2024-04-17T05:51:08.343664image/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 

Distinct361
Distinct (%)85.5%
Missing2168
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean378.8354
Minimum0
Maximum84359
Zeros29
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:08.452747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134.6375
median72.03
Q3128.2775
95-th percentile375.9905
Maximum84359
Range84359
Interquartile range (IQR)93.64

Descriptive statistics

Standard deviation4258.5918
Coefficient of variation (CV)11.241272
Kurtosis363.42565
Mean378.8354
Median Absolute Deviation (MAD)39.945
Skewness18.681862
Sum159868.54
Variance18135604
MonotonicityNot monotonic
2024-04-17T05:51:08.557536image/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%
66.0 3
 
0.1%
33.14 3
 
0.1%
117.14 2
 
0.1%
46.9 2
 
0.1%
77.0 2
 
0.1%
90.0 2
 
0.1%
21.0 2
 
0.1%
Other values (351) 367
 
14.2%
(Missing) 2168
83.7%
ValueCountFrequency (%)
0.0 29
1.1%
3.97 1
 
< 0.1%
4.0 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%
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%
1152.49 1
< 0.1%
999.35 1
< 0.1%
970.5 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)6.4%
Missing2229
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean4.3628809
Minimum0
Maximum42
Zeros27
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:08.647404image/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 deviation4.9703182
Coefficient of variation (CV)1.1392285
Kurtosis12.532495
Mean4.3628809
Median Absolute Deviation (MAD)2
Skewness2.934088
Sum1575
Variance24.704063
MonotonicityNot monotonic
2024-04-17T05:51:08.737843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 67
 
2.6%
2 62
 
2.4%
4 56
 
2.2%
3 48
 
1.9%
0 27
 
1.0%
5 25
 
1.0%
6 15
 
0.6%
15 11
 
0.4%
8 10
 
0.4%
7 10
 
0.4%
Other values (13) 30
 
1.2%
(Missing) 2229
86.1%
ValueCountFrequency (%)
0 27
1.0%
1 67
2.6%
2 62
2.4%
3 48
1.9%
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 11
0.4%
14 2
 
0.1%
13 3
 
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.2%
Missing2436
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean1.0324675
Minimum0
Maximum15
Zeros41
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size22.9 KiB
2024-04-17T05:51:08.829330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2.35
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4435741
Coefficient of variation (CV)1.3981787
Kurtosis58.257225
Mean1.0324675
Median Absolute Deviation (MAD)0
Skewness6.4935393
Sum159
Variance2.0839063
MonotonicityNot monotonic
2024-04-17T05:51:08.913971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 94
 
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) 2436
94.1%
ValueCountFrequency (%)
0 41
1.6%
1 94
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 94
3.6%
0 41
1.6%

건물용도명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2136 
근린생활시설
265 
아파트
 
72
사무실
 
39
단독주택
 
26
Other values (9)
 
52

Length

Max length15
Median length4
Mean length4.2239382
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> 2136
82.5%
근린생활시설 265
 
10.2%
아파트 72
 
2.8%
사무실 39
 
1.5%
단독주택 26
 
1.0%
다세대주택 11
 
0.4%
다중주택(공동주택적용) 10
 
0.4%
교육연구시설 9
 
0.3%
기타 7
 
0.3%
다가구용 주택(공동주택적용) 6
 
0.2%
Other values (4) 9
 
0.3%

Length

2024-04-17T05:51:09.013295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2136
82.3%
근린생활시설 265
 
10.2%
아파트 72
 
2.8%
사무실 39
 
1.5%
단독주택 26
 
1.0%
다세대주택 11
 
0.4%
다중주택(공동주택적용 10
 
0.4%
교육연구시설 9
 
0.3%
기타 7
 
0.3%
다가구용 6
 
0.2%
Other values (5) 15
 
0.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2590
Missing (%)100.0%
Memory size22.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
<NA>
2304 
주거지역
 
86
일반주거지역
 
81
일반상업지역
 
35
상업지역
 
31
Other values (9)
 
53

Length

Max length6
Median length4
Mean length4.1185328
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> 2304
89.0%
주거지역 86
 
3.3%
일반주거지역 81
 
3.1%
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

2024-04-17T05:51:09.132673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2304
89.0%
주거지역 86
 
3.3%
일반주거지역 81
 
3.1%
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 

Missing2590
Missing (%)100.0%
Memory size22.9 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
25802581출판사04_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>
25812582출판사04_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>
25822583출판사04_17_01_P3330000CDFG125100202100000720210122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1434-1 마리나센타부산광역시 해운대구 해운대해변로 154, 마리나동원 7층 7015호 (우동)48092우주정거장20210202152618I2021-02-04 00:23:03.0<NA>395695.998703186416.839176출판사출판인쇄업<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>주거지역<NA>
25832584출판사04_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>
25842585출판사04_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>
25852586출판사04_17_01_P3330000CDFG125100202100000820210204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1228 센텀센시빌아파트부산광역시 해운대구 해운대로 284, 107동 2103호 (우동, 센텀센시빌아파트)48059소수점20210204171957I2021-02-06 00:23:02.0<NA>393967.197053188310.416724출판사출판인쇄업<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>
25862587출판사04_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>
25872588출판사04_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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