Overview

Dataset statistics

Number of variables60
Number of observations2549
Missing cells80244
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

Description2021-02-01
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
영업상태구분코드 is highly imbalanced (50.1%)Imbalance
영업상태명 is highly imbalanced (50.1%)Imbalance
상세영업상태명 is highly imbalanced (65.6%)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 1877 (73.6%) missing valuesMissing
재개업일자 has 2549 (100.0%) missing valuesMissing
소재지전화 has 1036 (40.6%) missing valuesMissing
소재지면적 has 2549 (100.0%) missing valuesMissing
소재지우편번호 has 1082 (42.4%) missing valuesMissing
소재지전체주소 has 59 (2.3%) missing valuesMissing
도로명전체주소 has 86 (3.4%) missing valuesMissing
도로명우편번호 has 714 (28.0%) missing valuesMissing
업태구분명 has 2549 (100.0%) missing valuesMissing
좌표정보(x) has 64 (2.5%) missing valuesMissing
좌표정보(y) has 64 (2.5%) missing valuesMissing
총층수 has 2264 (88.8%) missing valuesMissing
제작취급품목내용 has 2543 (99.8%) missing valuesMissing
시설면적 has 2140 (84.0%) missing valuesMissing
지상층수 has 2193 (86.0%) missing valuesMissing
지하층수 has 2397 (94.0%) missing valuesMissing
통로너비 has 2549 (100.0%) missing valuesMissing
조명시설조도 has 2549 (100.0%) missing valuesMissing
노래방실수 has 2549 (100.0%) missing valuesMissing
청소년실수 has 2549 (100.0%) missing valuesMissing
비상계단여부 has 2549 (100.0%) missing valuesMissing
비상구여부 has 2549 (100.0%) missing valuesMissing
자동환기여부 has 2549 (100.0%) missing valuesMissing
청소년실여부 has 2549 (100.0%) missing valuesMissing
특수조명여부 has 2549 (100.0%) missing valuesMissing
방음시설여부 has 2549 (100.0%) missing valuesMissing
비디오재생기명 has 2549 (100.0%) missing valuesMissing
조명시설유무 has 2549 (100.0%) missing valuesMissing
음향시설여부 has 2549 (100.0%) missing valuesMissing
편의시설여부 has 2549 (100.0%) missing valuesMissing
소방시설여부 has 2549 (100.0%) missing valuesMissing
총게임기수 has 2549 (100.0%) missing valuesMissing
기존게임업외업종명 has 2549 (100.0%) missing valuesMissing
제공게임물명 has 2549 (100.0%) missing valuesMissing
공연장형태구분명 has 2549 (100.0%) missing valuesMissing
품목명 has 2549 (100.0%) missing valuesMissing
최초등록시점 has 2549 (100.0%) missing valuesMissing
Unnamed: 59 has 2549 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -39.51246635)Skewed
소재지우편번호 is highly skewed (γ1 = -31.31187812)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 28 (1.1%) zerosZeros
시설면적 has 28 (1.1%) zerosZeros
지상층수 has 27 (1.1%) zerosZeros
지하층수 has 41 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-16 20:51:23.748606
Analysis finished2024-04-16 20:51:24.868780
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2549
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1275
Minimum1
Maximum2549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:24.925107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile128.4
Q1638
median1275
Q31912
95-th percentile2421.6
Maximum2549
Range2548
Interquartile range (IQR)1274

Descriptive statistics

Standard deviation735.97724
Coefficient of variation (CV)0.57723705
Kurtosis-1.2
Mean1275
Median Absolute Deviation (MAD)637
Skewness0
Sum3249975
Variance541662.5
MonotonicityStrictly increasing
2024-04-17T05:51:25.033112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1704 1
 
< 0.1%
1697 1
 
< 0.1%
1698 1
 
< 0.1%
1699 1
 
< 0.1%
1700 1
 
< 0.1%
1701 1
 
< 0.1%
1702 1
 
< 0.1%
1703 1
 
< 0.1%
1705 1
 
< 0.1%
Other values (2539) 2539
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 (%)
2549 1
< 0.1%
2548 1
< 0.1%
2547 1
< 0.1%
2546 1
< 0.1%
2545 1
< 0.1%
2544 1
< 0.1%
2543 1
< 0.1%
2542 1
< 0.1%
2541 1
< 0.1%
2540 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
출판사
2549 

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 2549
100.0%

Length

2024-04-17T05:51:25.127794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:25.195137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2549
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
04_17_01_P
2549 

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 2549
100.0%

Length

2024-04-17T05:51:25.272025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:25.339339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2549
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3318348.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:25.405516image/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 deviation42019.967
Coefficient of variation (CV)0.012662916
Kurtosis-0.90386307
Mean3318348.4
Median Absolute Deviation (MAD)30000
Skewness0.1004686
Sum8.45847 × 109
Variance1.7656776 × 109
MonotonicityNot monotonic
2024-04-17T05:51:25.493292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 445
17.5%
3330000 410
16.1%
3250000 265
10.4%
3350000 203
8.0%
3310000 180
7.1%
3380000 173
 
6.8%
3370000 155
 
6.1%
3300000 143
 
5.6%
3390000 106
 
4.2%
3270000 95
 
3.7%
Other values (6) 374
14.7%
ValueCountFrequency (%)
3250000 265
10.4%
3260000 64
 
2.5%
3270000 95
 
3.7%
3280000 50
 
2.0%
3290000 445
17.5%
3300000 143
 
5.6%
3310000 180
7.1%
3320000 90
 
3.5%
3330000 410
16.1%
3340000 92
 
3.6%
ValueCountFrequency (%)
3400000 56
 
2.2%
3390000 106
 
4.2%
3380000 173
6.8%
3370000 155
 
6.1%
3360000 22
 
0.9%
3350000 203
8.0%
3340000 92
 
3.6%
3330000 410
16.1%
3320000 90
 
3.5%
3310000 180
7.1%

관리번호
Text

Distinct660
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2024-04-17T05:51:25.654782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters50980
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

Unique256 ?
Unique (%)10.0%

Sample

1st rowCDFG1251002019000001
2nd rowCDFG1251002017000003
3rd rowCDFG1251002011000006
4th rowCDFG1251001988000002
5th rowCDFG1251002011000015
ValueCountFrequency (%)
cdfg1251002020000001 16
 
0.6%
cdfg1251002017000001 15
 
0.6%
cdfg1251002017000004 15
 
0.6%
cdfg1251002018000001 15
 
0.6%
cdfg1251002020000002 15
 
0.6%
cdfg1251002019000002 15
 
0.6%
cdfg1251002020000003 15
 
0.6%
cdfg1251002018000002 14
 
0.5%
cdfg1251002019000003 14
 
0.5%
cdfg1251002019000004 14
 
0.5%
Other values (650) 2401
94.2%
2024-04-17T05:51:25.923134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20429
40.1%
1 8003
 
15.7%
2 5748
 
11.3%
5 3064
 
6.0%
C 2549
 
5.0%
D 2549
 
5.0%
F 2549
 
5.0%
G 2549
 
5.0%
9 954
 
1.9%
8 558
 
1.1%
Other values (4) 2028
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40784
80.0%
Uppercase Letter 10196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20429
50.1%
1 8003
 
19.6%
2 5748
 
14.1%
5 3064
 
7.5%
9 954
 
2.3%
8 558
 
1.4%
3 531
 
1.3%
4 517
 
1.3%
7 503
 
1.2%
6 477
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 2549
25.0%
D 2549
25.0%
F 2549
25.0%
G 2549
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40784
80.0%
Latin 10196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20429
50.1%
1 8003
 
19.6%
2 5748
 
14.1%
5 3064
 
7.5%
9 954
 
2.3%
8 558
 
1.4%
3 531
 
1.3%
4 517
 
1.3%
7 503
 
1.2%
6 477
 
1.2%
Latin
ValueCountFrequency (%)
C 2549
25.0%
D 2549
25.0%
F 2549
25.0%
G 2549
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20429
40.1%
1 8003
 
15.7%
2 5748
 
11.3%
5 3064
 
6.0%
C 2549
 
5.0%
D 2549
 
5.0%
F 2549
 
5.0%
G 2549
 
5.0%
9 954
 
1.9%
8 558
 
1.1%
Other values (4) 2028
 
4.0%

인허가일자
Real number (ℝ)

SKEWED 

Distinct2007
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096994
Minimum10011025
Maximum20201223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:26.043548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011025
5-th percentile19930761
Q120051130
median20120828
Q320170309
95-th percentile20200419
Maximum20201223
Range10190198
Interquartile range (IQR)119179

Descriptive statistics

Standard deviation216964.41
Coefficient of variation (CV)0.010795863
Kurtosis1834.2122
Mean20096994
Median Absolute Deviation (MAD)50423
Skewness-39.512466
Sum5.1227239 × 1010
Variance4.7073554 × 1010
MonotonicityNot monotonic
2024-04-17T05:51:26.378758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021212 16
 
0.6%
20181030 5
 
0.2%
20141111 4
 
0.2%
20161017 4
 
0.2%
20120831 4
 
0.2%
20180405 4
 
0.2%
20200925 4
 
0.2%
20130327 4
 
0.2%
20190116 4
 
0.2%
20170726 4
 
0.2%
Other values (1997) 2496
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 (%)
20201223 2
0.1%
20201222 2
0.1%
20201221 2
0.1%
20201215 3
0.1%
20201211 2
0.1%
20201210 1
 
< 0.1%
20201209 1
 
< 0.1%
20201208 1
 
< 0.1%
20201207 4
0.2%
20201204 1
 
< 0.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2547 
20170224
 
1
20200423
 
1

Length

Max length8
Median length4
Mean length4.0031385
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> 2547
99.9%
20170224 1
 
< 0.1%
20200423 1
 
< 0.1%

Length

2024-04-17T05:51:26.483301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:26.569106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
99.9%
20170224 1
 
< 0.1%
20200423 1
 
< 0.1%

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
1
1844 
3
624 
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 1844
72.3%
3 624
 
24.5%
4 79
 
3.1%
2 2
 
0.1%

Length

2024-04-17T05:51:26.647169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:26.723479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1844
72.3%
3 624
 
24.5%
4 79
 
3.1%
2 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
영업/정상
1844 
폐업
624 
취소/말소/만료/정지/중지
 
79
휴업
 
2

Length

Max length14
Median length5
Mean length4.5421734
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1844
72.3%
폐업 624
 
24.5%
취소/말소/만료/정지/중지 79
 
3.1%
휴업 2
 
0.1%

Length

2024-04-17T05:51:26.811340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:26.892343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1844
72.3%
폐업 624
 
24.5%
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%
Mean11.200471
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:26.982490image/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 deviation5.9455457
Coefficient of variation (CV)0.53082998
Kurtosis5.0372744
Mean11.200471
Median Absolute Deviation (MAD)0
Skewness1.1940101
Sum28550
Variance35.349513
MonotonicityNot monotonic
2024-04-17T05:51:27.067050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 1843
72.3%
3 624
 
24.5%
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%
3 624
 
24.5%
13 1843
72.3%
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 1843
72.3%
3 624
 
24.5%
2 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
영업중
1843 
폐업
624 
직권말소
 
63
등록취소
 
13
허가취소
 
2
Other values (3)
 
4

Length

Max length4
Median length3
Mean length2.7850137
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1843
72.3%
폐업 624
 
24.5%
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

2024-04-17T05:51:27.174805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:27.269738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1843
72.3%
폐업 624
 
24.5%
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 

Distinct489
Distinct (%)72.8%
Missing1877
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean20118125
Minimum19940331
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:27.390978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940331
5-th percentile20000821
Q120070396
median20140120
Q320170728
95-th percentile20200210
Maximum20201222
Range260891
Interquartile range (IQR)100332.25

Descriptive statistics

Standard deviation65897.158
Coefficient of variation (CV)0.0032755119
Kurtosis-0.99544859
Mean20118125
Median Absolute Deviation (MAD)41001
Skewness-0.56416359
Sum1.351938 × 1010
Variance4.3424354 × 109
MonotonicityNot monotonic
2024-04-17T05:51:27.509946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000821 66
 
2.6%
20170201 60
 
2.4%
20000914 4
 
0.2%
20131230 3
 
0.1%
20020918 3
 
0.1%
20190128 3
 
0.1%
20190306 3
 
0.1%
20180316 3
 
0.1%
20130130 2
 
0.1%
20170608 2
 
0.1%
Other values (479) 523
 
20.5%
(Missing) 1877
73.6%
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 (%)
20201222 1
< 0.1%
20201218 1
< 0.1%
20201204 2
0.1%
20201130 1
< 0.1%
20201123 1
< 0.1%
20201116 1
< 0.1%
20201111 1
< 0.1%
20201106 1
< 0.1%
20201104 1
< 0.1%
20201008 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2547 
20170828
 
1
20141223
 
1

Length

Max length8
Median length4
Mean length4.0031385
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> 2547
99.9%
20170828 1
 
< 0.1%
20141223 1
 
< 0.1%

Length

2024-04-17T05:51:27.626538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:27.712940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
99.9%
20170828 1
 
< 0.1%
20141223 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2547 
20270827
 
1
20150623
 
1

Length

Max length8
Median length4
Mean length4.0031385
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> 2547
99.9%
20270827 1
 
< 0.1%
20150623 1
 
< 0.1%

Length

2024-04-17T05:51:27.810795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:27.899670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2547
99.9%
20270827 1
 
< 0.1%
20150623 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

소재지전화
Text

MISSING 

Distinct1446
Distinct (%)95.6%
Missing1036
Missing (%)40.6%
Memory size20.0 KiB
2024-04-17T05:51:28.077669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.145406
Min length1

Characters and Unicode

Total characters15350
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 (%)92.9%

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%
070-7500-3600 3
 
0.2%
999-9999 3
 
0.2%
818-3434 2
 
0.1%
051-363-6029 2
 
0.1%
051-863-9786 2
 
0.1%
503-5457 2
 
0.1%
363-8966 2
 
0.1%
Other values (1435) 1465
96.8%
2024-04-17T05:51:28.392775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2222
14.5%
0 2181
14.2%
5 1853
12.1%
1 1795
11.7%
4 1156
7.5%
6 1104
7.2%
8 1098
7.2%
7 1071
7.0%
3 1047
6.8%
2 1012
6.6%
Other values (7) 811
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13066
85.1%
Dash Punctuation 2222
 
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 2181
16.7%
5 1853
14.2%
1 1795
13.7%
4 1156
8.8%
6 1104
8.4%
8 1098
8.4%
7 1071
8.2%
3 1047
8.0%
2 1012
7.7%
9 749
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 12
63.2%
, 5
26.3%
* 2
 
10.5%
Dash Punctuation
ValueCountFrequency (%)
- 2222
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 15350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2222
14.5%
0 2181
14.2%
5 1853
12.1%
1 1795
11.7%
4 1156
7.5%
6 1104
7.2%
8 1098
7.2%
7 1071
7.0%
3 1047
6.8%
2 1012
6.6%
Other values (7) 811
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2222
14.5%
0 2181
14.2%
5 1853
12.1%
1 1795
11.7%
4 1156
7.5%
6 1104
7.2%
8 1098
7.2%
7 1071
7.0%
3 1047
6.8%
2 1012
6.6%
Other values (7) 811
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct606
Distinct (%)41.3%
Missing1082
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean609690.48
Minimum47276
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:28.505971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47276
5-th percentile600024
Q1607434
median611827
Q3614829
95-th percentile617749.8
Maximum619963
Range572687
Interquartile range (IQR)7395

Descriptive statistics

Standard deviation15717.369
Coefficient of variation (CV)0.02577926
Kurtosis1119.9494
Mean609690.48
Median Absolute Deviation (MAD)3026
Skewness-31.311878
Sum8.9441594 × 108
Variance2.470357 × 108
MonotonicityNot monotonic
2024-04-17T05:51:28.614082image/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) 1239
48.6%
(Missing) 1082
42.4%
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 

Distinct2333
Distinct (%)93.7%
Missing59
Missing (%)2.3%
Memory size20.0 KiB
2024-04-17T05:51:28.853938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length26.682329
Min length12

Characters and Unicode

Total characters66439
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

Unique2210 ?
Unique (%)88.8%

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 2490
 
20.1%
부산진구 444
 
3.6%
해운대구 393
 
3.2%
중구 257
 
2.1%
금정구 202
 
1.6%
수영구 172
 
1.4%
남구 171
 
1.4%
우동 163
 
1.3%
연제구 155
 
1.3%
부전동 148
 
1.2%
Other values (3345) 7802
62.9%
2024-04-17T05:51:29.232589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9910
 
14.9%
1 3249
 
4.9%
부 3230
 
4.9%
동 3198
 
4.8%
산 3179
 
4.8%
광 2629
 
4.0%
시 2563
 
3.9%
구 2509
 
3.8%
역 2495
 
3.8%
지 2386
 
3.6%
Other values (437) 31091
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40218
60.5%
Decimal Number 14033
 
21.1%
Space Separator 9910
 
14.9%
Dash Punctuation 1966
 
3.0%
Uppercase Letter 161
 
0.2%
Open Punctuation 54
 
0.1%
Close Punctuation 54
 
0.1%
Other Punctuation 25
 
< 0.1%
Lowercase Letter 17
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3230
 
8.0%
동 3198
 
8.0%
산 3179
 
7.9%
광 2629
 
6.5%
시 2563
 
6.4%
구 2509
 
6.2%
역 2495
 
6.2%
지 2386
 
5.9%
번 2300
 
5.7%
대 747
 
1.9%
Other values (384) 14982
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 18
11.2%
A 17
10.6%
T 15
 
9.3%
S 12
 
7.5%
O 11
 
6.8%
L 10
 
6.2%
K 10
 
6.2%
I 9
 
5.6%
D 9
 
5.6%
C 8
 
5.0%
Other values (11) 42
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
c 3
17.6%
n 2
11.8%
k 1
 
5.9%
p 1
 
5.9%
v 1
 
5.9%
m 1
 
5.9%
a 1
 
5.9%
w 1
 
5.9%
y 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 3249
23.2%
2 1850
13.2%
0 1558
11.1%
3 1502
10.7%
4 1398
10.0%
5 1139
 
8.1%
6 980
 
7.0%
7 863
 
6.1%
8 795
 
5.7%
9 699
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 12
48.0%
, 6
24.0%
@ 4
 
16.0%
& 2
 
8.0%
· 1
 
4.0%
Space Separator
ValueCountFrequency (%)
9910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1966
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 40218
60.5%
Common 26043
39.2%
Latin 178
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3230
 
8.0%
동 3198
 
8.0%
산 3179
 
7.9%
광 2629
 
6.5%
시 2563
 
6.4%
구 2509
 
6.2%
역 2495
 
6.2%
지 2386
 
5.9%
번 2300
 
5.7%
대 747
 
1.9%
Other values (384) 14982
37.3%
Latin
ValueCountFrequency (%)
B 18
 
10.1%
A 17
 
9.6%
T 15
 
8.4%
S 12
 
6.7%
O 11
 
6.2%
L 10
 
5.6%
K 10
 
5.6%
I 9
 
5.1%
D 9
 
5.1%
C 8
 
4.5%
Other values (23) 59
33.1%
Common
ValueCountFrequency (%)
9910
38.1%
1 3249
 
12.5%
- 1966
 
7.5%
2 1850
 
7.1%
0 1558
 
6.0%
3 1502
 
5.8%
4 1398
 
5.4%
5 1139
 
4.4%
6 980
 
3.8%
7 863
 
3.3%
Other values (10) 1628
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40218
60.5%
ASCII 26220
39.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9910
37.8%
1 3249
 
12.4%
- 1966
 
7.5%
2 1850
 
7.1%
0 1558
 
5.9%
3 1502
 
5.7%
4 1398
 
5.3%
5 1139
 
4.3%
6 980
 
3.7%
7 863
 
3.3%
Other values (42) 1805
 
6.9%
Hangul
ValueCountFrequency (%)
부 3230
 
8.0%
동 3198
 
8.0%
산 3179
 
7.9%
광 2629
 
6.5%
시 2563
 
6.4%
구 2509
 
6.2%
역 2495
 
6.2%
지 2386
 
5.9%
번 2300
 
5.7%
대 747
 
1.9%
Other values (384) 14982
37.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2366
Distinct (%)96.1%
Missing86
Missing (%)3.4%
Memory size20.0 KiB
2024-04-17T05:51:29.499665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length34.489241
Min length19

Characters and Unicode

Total characters84947
Distinct characters497
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

Unique2277 ?
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 2463
 
15.8%
부산진구 417
 
2.7%
해운대구 406
 
2.6%
중구 245
 
1.6%
금정구 202
 
1.3%
남구 177
 
1.1%
수영구 167
 
1.1%
우동 165
 
1.1%
연제구 153
 
1.0%
동래구 139
 
0.9%
Other values (3499) 11058
70.9%
2024-04-17T05:51:29.882876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13580
 
16.0%
동 3669
 
4.3%
1 3394
 
4.0%
부 3267
 
3.8%
산 3212
 
3.8%
광 2698
 
3.2%
시 2611
 
3.1%
구 2527
 
3.0%
) 2481
 
2.9%
( 2481
 
2.9%
Other values (487) 45027
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48500
57.1%
Decimal Number 14742
 
17.4%
Space Separator 13580
 
16.0%
Close Punctuation 2481
 
2.9%
Open Punctuation 2481
 
2.9%
Other Punctuation 2455
 
2.9%
Dash Punctuation 489
 
0.6%
Uppercase Letter 203
 
0.2%
Lowercase Letter 12
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3669
 
7.6%
부 3267
 
6.7%
산 3212
 
6.6%
광 2698
 
5.6%
시 2611
 
5.4%
구 2527
 
5.2%
역 2467
 
5.1%
로 2381
 
4.9%
대 1576
 
3.2%
길 1162
 
2.4%
Other values (434) 22930
47.3%
Uppercase Letter
ValueCountFrequency (%)
A 30
14.8%
B 28
13.8%
C 14
 
6.9%
S 14
 
6.9%
T 12
 
5.9%
E 11
 
5.4%
D 11
 
5.4%
L 10
 
4.9%
K 10
 
4.9%
O 10
 
4.9%
Other values (13) 53
26.1%
Decimal Number
ValueCountFrequency (%)
1 3394
23.0%
2 2084
14.1%
0 2017
13.7%
3 1626
11.0%
4 1228
 
8.3%
5 1118
 
7.6%
6 969
 
6.6%
7 826
 
5.6%
8 753
 
5.1%
9 727
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
s 2
16.7%
e 2
16.7%
i 1
8.3%
a 1
8.3%
c 1
8.3%
m 1
8.3%
v 1
8.3%
p 1
8.3%
b 1
8.3%
k 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 2437
99.3%
/ 13
 
0.5%
@ 2
 
0.1%
& 2
 
0.1%
· 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13580
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2481
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 489
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48500
57.1%
Common 36232
42.7%
Latin 215
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3669
 
7.6%
부 3267
 
6.7%
산 3212
 
6.6%
광 2698
 
5.6%
시 2611
 
5.4%
구 2527
 
5.2%
역 2467
 
5.1%
로 2381
 
4.9%
대 1576
 
3.2%
길 1162
 
2.4%
Other values (434) 22930
47.3%
Latin
ValueCountFrequency (%)
A 30
14.0%
B 28
13.0%
C 14
 
6.5%
S 14
 
6.5%
T 12
 
5.6%
E 11
 
5.1%
D 11
 
5.1%
L 10
 
4.7%
K 10
 
4.7%
O 10
 
4.7%
Other values (23) 65
30.2%
Common
ValueCountFrequency (%)
13580
37.5%
1 3394
 
9.4%
) 2481
 
6.8%
( 2481
 
6.8%
, 2437
 
6.7%
2 2084
 
5.8%
0 2017
 
5.6%
3 1626
 
4.5%
4 1228
 
3.4%
5 1118
 
3.1%
Other values (10) 3786
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48500
57.1%
ASCII 36446
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13580
37.3%
1 3394
 
9.3%
) 2481
 
6.8%
( 2481
 
6.8%
, 2437
 
6.7%
2 2084
 
5.7%
0 2017
 
5.5%
3 1626
 
4.5%
4 1228
 
3.4%
5 1118
 
3.1%
Other values (42) 4000
 
11.0%
Hangul
ValueCountFrequency (%)
동 3669
 
7.6%
부 3267
 
6.7%
산 3212
 
6.6%
광 2698
 
5.6%
시 2611
 
5.4%
구 2527
 
5.2%
역 2467
 
5.1%
로 2381
 
4.9%
대 1576
 
3.2%
길 1162
 
2.4%
Other values (434) 22930
47.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1065
Distinct (%)58.0%
Missing714
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean286065.05
Minimum46005
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:30.025148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46005
5-th percentile46287
Q147877
median48932
Q3609806.5
95-th percentile616809
Maximum619963
Range573958
Interquartile range (IQR)561929.5

Descriptive statistics

Standard deviation278086.22
Coefficient of variation (CV)0.97210835
Kurtosis-1.9049467
Mean286065.05
Median Absolute Deviation (MAD)2345
Skewness0.31062023
Sum5.2492936 × 108
Variance7.7331947 × 1010
MonotonicityNot monotonic
2024-04-17T05:51:30.132751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 47
 
1.8%
48058 26
 
1.0%
48932 17
 
0.7%
48060 14
 
0.5%
612020 11
 
0.4%
600024 9
 
0.4%
608743 9
 
0.4%
600815 9
 
0.4%
48547 8
 
0.3%
612725 8
 
0.3%
Other values (1055) 1677
65.8%
(Missing) 714
28.0%
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

Distinct2471
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2024-04-17T05:51:30.369769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length6.8721067
Min length1

Characters and Unicode

Total characters17517
Distinct characters820
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

Unique2395 ?
Unique (%)94.0%

Sample

1st row북 파오스(Book PAOS)
2nd row호랑이 출판사
3rd row재봉출판사
4th row도서출판 빛남
5th row합동광고인쇄
ValueCountFrequency (%)
도서출판 300
 
8.7%
주식회사 72
 
2.1%
출판사 35
 
1.0%
무점포 24
 
0.7%
디자인 21
 
0.6%
사단법인 10
 
0.3%
출판부 10
 
0.3%
교육 6
 
0.2%
미디어 6
 
0.2%
연구소 6
 
0.2%
Other values (2747) 2960
85.8%
2024-04-17T05:51:30.719863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
901
 
5.1%
출 641
 
3.7%
판 640
 
3.7%
사 552
 
3.2%
) 410
 
2.3%
( 403
 
2.3%
도 400
 
2.3%
서 398
 
2.3%
주 336
 
1.9%
인 319
 
1.8%
Other values (810) 12517
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13900
79.4%
Lowercase Letter 915
 
5.2%
Space Separator 901
 
5.1%
Uppercase Letter 808
 
4.6%
Close Punctuation 412
 
2.4%
Open Punctuation 405
 
2.3%
Decimal Number 110
 
0.6%
Other Punctuation 58
 
0.3%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 641
 
4.6%
판 640
 
4.6%
사 552
 
4.0%
도 400
 
2.9%
서 398
 
2.9%
주 336
 
2.4%
인 319
 
2.3%
스 313
 
2.3%
이 280
 
2.0%
디 211
 
1.5%
Other values (732) 9810
70.6%
Uppercase Letter
ValueCountFrequency (%)
E 62
 
7.7%
S 62
 
7.7%
O 62
 
7.7%
C 54
 
6.7%
I 51
 
6.3%
T 48
 
5.9%
A 47
 
5.8%
P 45
 
5.6%
D 41
 
5.1%
M 40
 
5.0%
Other values (16) 296
36.6%
Lowercase Letter
ValueCountFrequency (%)
o 112
12.2%
e 97
10.6%
n 88
 
9.6%
a 80
 
8.7%
i 71
 
7.8%
s 63
 
6.9%
r 58
 
6.3%
t 49
 
5.4%
l 41
 
4.5%
u 35
 
3.8%
Other values (15) 221
24.2%
Decimal Number
ValueCountFrequency (%)
1 67
60.9%
2 13
 
11.8%
0 7
 
6.4%
5 6
 
5.5%
3 5
 
4.5%
9 3
 
2.7%
8 3
 
2.7%
4 2
 
1.8%
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 (%)
) 410
99.5%
] 1
 
0.2%
」 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 403
99.5%
[ 1
 
0.2%
「 1
 
0.2%
Space Separator
ValueCountFrequency (%)
901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13850
79.1%
Common 1894
 
10.8%
Latin 1723
 
9.8%
Han 50
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 641
 
4.6%
판 640
 
4.6%
사 552
 
4.0%
도 400
 
2.9%
서 398
 
2.9%
주 336
 
2.4%
인 319
 
2.3%
스 313
 
2.3%
이 280
 
2.0%
디 211
 
1.5%
Other values (693) 9760
70.5%
Latin
ValueCountFrequency (%)
o 112
 
6.5%
e 97
 
5.6%
n 88
 
5.1%
a 80
 
4.6%
i 71
 
4.1%
s 63
 
3.7%
E 62
 
3.6%
S 62
 
3.6%
O 62
 
3.6%
r 58
 
3.4%
Other values (41) 968
56.2%
Han
ValueCountFrequency (%)
社 3
 
6.0%
版 3
 
6.0%
出 3
 
6.0%
言 2
 
4.0%
正 2
 
4.0%
志 2
 
4.0%
享 2
 
4.0%
木 2
 
4.0%
習 1
 
2.0%
分 1
 
2.0%
Other values (29) 29
58.0%
Common
ValueCountFrequency (%)
901
47.6%
) 410
21.6%
( 403
21.3%
1 67
 
3.5%
. 23
 
1.2%
& 20
 
1.1%
2 13
 
0.7%
0 7
 
0.4%
5 6
 
0.3%
, 6
 
0.3%
Other values (17) 38
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13850
79.1%
ASCII 3610
 
20.6%
CJK 50
 
0.3%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
901
25.0%
) 410
 
11.4%
( 403
 
11.2%
o 112
 
3.1%
e 97
 
2.7%
n 88
 
2.4%
a 80
 
2.2%
i 71
 
2.0%
1 67
 
1.9%
s 63
 
1.7%
Other values (63) 1318
36.5%
Hangul
ValueCountFrequency (%)
출 641
 
4.6%
판 640
 
4.6%
사 552
 
4.0%
도 400
 
2.9%
서 398
 
2.9%
주 336
 
2.4%
인 319
 
2.3%
스 313
 
2.3%
이 280
 
2.0%
디 211
 
1.5%
Other values (693) 9760
70.5%
None
ValueCountFrequency (%)
· 3
42.9%
「 1
 
14.3%
」 1
 
14.3%
！ 1
 
14.3%
＆ 1
 
14.3%
CJK
ValueCountFrequency (%)
社 3
 
6.0%
版 3
 
6.0%
出 3
 
6.0%
言 2
 
4.0%
正 2
 
4.0%
志 2
 
4.0%
享 2
 
4.0%
木 2
 
4.0%
習 1
 
2.0%
分 1
 
2.0%
Other values (29) 29
58.0%

최종수정시점
Real number (ℝ)

Distinct2437
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144674 × 1013
Minimum2.0021018 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:30.832740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0030219 × 1013
Q12.0120328 × 1013
median2.0160302 × 1013
Q32.0181228 × 1013
95-th percentile2.0200812 × 1013
Maximum2.0201231 × 1013
Range1.8021302 × 1011
Interquartile range (IQR)6.090003 × 1010

Descriptive statistics

Standard deviation5.0040661 × 1010
Coefficient of variation (CV)0.0024840641
Kurtosis0.010862878
Mean2.0144674 × 1013
Median Absolute Deviation (MAD)3.0016995 × 1010
Skewness-0.92888564
Sum5.1348773 × 1016
Variance2.5040678 × 1021
MonotonicityNot monotonic
2024-04-17T05:51:30.944775image/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%
20161229161343 1
 
< 0.1%
20150821105519 1
 
< 0.1%
20080526131429 1
 
< 0.1%
20120127174434 1
 
< 0.1%
20070330104444 1
 
< 0.1%
20110414182727 1
 
< 0.1%
20130305161944 1
 
< 0.1%
Other values (2427) 2427
95.2%
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 (%)
20201231150316 1
< 0.1%
20201224085320 1
< 0.1%
20201223164230 1
< 0.1%
20201223111004 1
< 0.1%
20201223105105 1
< 0.1%
20201222200028 1
< 0.1%
20201222174720 1
< 0.1%
20201222105413 1
< 0.1%
20201222105200 1
< 0.1%
20201222104839 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
I
2199 
U
350 

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 2199
86.3%
U 350
 
13.7%

Length

2024-04-17T05:51:31.048820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:31.119422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2199
86.3%
u 350
 
13.7%

데이터갱신일자
Date

Distinct466
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 00:23:05
2024-04-17T05:51:31.220043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T05:51:31.344703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1906
Distinct (%)76.7%
Missing64
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean388926.8
Minimum171582.9
Maximum407986.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:31.478676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171582.9
5-th percentile380716.53
Q1385586.44
median388758.41
Q3392213.2
95-th percentile397899.95
Maximum407986.86
Range236403.96
Interquartile range (IQR)6626.759

Descriptive statistics

Standard deviation6586.8196
Coefficient of variation (CV)0.016935885
Kurtosis476.5835
Mean388926.8
Median Absolute Deviation (MAD)3268.5429
Skewness-14.428109
Sum9.6648309 × 108
Variance43386193
MonotonicityNot monotonic
2024-04-17T05:51:31.581390image/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%
392474.578116018 12
 
0.5%
395615.201853958 11
 
0.4%
385464.220370345 8
 
0.3%
392635.637555849 8
 
0.3%
380267.075260668 8
 
0.3%
387927.951172724 8
 
0.3%
Other values (1896) 2367
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%
373342.014794176 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 

Distinct1907
Distinct (%)76.7%
Missing64
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean186953.89
Minimum173969.72
Maximum439879.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:31.931686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173969.72
5-th percentile179448.62
Q1183366.56
median186685.26
Q3189535.67
95-th percentile196400.12
Maximum439879.55
Range265909.83
Interquartile range (IQR)6169.1123

Descriptive statistics

Standard deviation7340.2064
Coefficient of variation (CV)0.039262122
Kurtosis566.92116
Mean186953.89
Median Absolute Deviation (MAD)3003.0634
Skewness16.674839
Sum4.6458041 × 108
Variance53878629
MonotonicityNot monotonic
2024-04-17T05:51:32.048376image/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 11
 
0.4%
183052.21115244 11
 
0.4%
180225.685982991 8
 
0.3%
187172.4033403 8
 
0.3%
189289.429287616 8
 
0.3%
186582.791097672 8
 
0.3%
Other values (1897) 2368
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 size20.0 KiB
출판사
2549 

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 2549
100.0%

Length

2024-04-17T05:51:32.150920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:32.217434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2549
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
출판인쇄업
2549 

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 2549
100.0%

Length

2024-04-17T05:51:32.290828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:32.360020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2549
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)8.4%
Missing2264
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean5.5508772
Minimum0
Maximum49
Zeros28
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:32.433609image/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 deviation6.0305888
Coefficient of variation (CV)1.0864209
Kurtosis11.996372
Mean5.5508772
Median Absolute Deviation (MAD)2
Skewness2.8588907
Sum1582
Variance36.368001
MonotonicityNot monotonic
2024-04-17T05:51:32.538018image/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 35
 
1.4%
5 35
 
1.4%
0 28
 
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) 2264
88.8%
ValueCountFrequency (%)
0 28
1.1%
1 18
0.7%
2 40
1.6%
3 35
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 size20.0 KiB
<NA>
2388 
주택가주변
 
58
기타
 
47
아파트지역
 
46
학교정화(상대)
 
7
Other values (3)
 
3

Length

Max length8
Median length4
Mean length4.0192232
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> 2388
93.7%
주택가주변 58
 
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

2024-04-17T05:51:32.636762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T05:51:32.727217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2388
93.7%
주택가주변 58
 
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%
Missing2543
Missing (%)99.8%
Memory size20.0 KiB
2024-04-17T05:51:32.837422image/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%
2024-04-17T05:51:33.076380image/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 

Distinct351
Distinct (%)85.8%
Missing2140
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean386.63482
Minimum0
Maximum84359
Zeros28
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:33.186911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135.15
median74.01
Q3129.64
95-th percentile362.974
Maximum84359
Range84359
Interquartile range (IQR)94.49

Descriptive statistics

Standard deviation4325.3548
Coefficient of variation (CV)11.187184
Kurtosis352.31761
Mean386.63482
Median Absolute Deviation (MAD)41.01
Skewness18.395531
Sum158133.64
Variance18708694
MonotonicityNot monotonic
2024-04-17T05:51:33.289732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 28
 
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%
146.85 2
 
0.1%
77.0 2
 
0.1%
90.0 2
 
0.1%
84.53 2
 
0.1%
Other values (341) 355
 
13.9%
(Missing) 2140
84.0%
ValueCountFrequency (%)
0.0 28
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 (%)6.5%
Missing2193
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean4.3455056
Minimum0
Maximum42
Zeros27
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:33.397644image/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 deviation4.9710437
Coefficient of variation (CV)1.1439506
Kurtosis12.72727
Mean4.3455056
Median Absolute Deviation (MAD)2
Skewness2.9574979
Sum1547
Variance24.711276
MonotonicityNot monotonic
2024-04-17T05:51:33.491925image/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 54
 
2.1%
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) 2193
86.0%
ValueCountFrequency (%)
0 27
1.1%
1 67
2.6%
2 61
2.4%
3 47
1.8%
4 54
2.1%
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 (%)5.3%
Missing2397
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.0328947
Minimum0
Maximum15
Zeros41
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2024-04-17T05:51:33.578322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2.45
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4530979
Coefficient of variation (CV)1.4068209
Kurtosis57.479358
Mean1.0328947
Median Absolute Deviation (MAD)0
Skewness6.4512466
Sum157
Variance2.1114936
MonotonicityNot monotonic
2024-04-17T05:51:33.663250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 92
 
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) 2397
94.0%
ValueCountFrequency (%)
0 41
1.6%
1 92
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 92
3.6%
0 41
1.6%

건물용도명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2104 
근린생활시설
259 
아파트
 
71
사무실
 
39
단독주택
 
26
Other values (9)
 
50

Length

Max length15
Median length4
Mean length4.219694
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> 2104
82.5%
근린생활시설 259
 
10.2%
아파트 71
 
2.8%
사무실 39
 
1.5%
단독주택 26
 
1.0%
다세대주택 10
 
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

2024-04-17T05:51:33.775046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2104
82.3%
근린생활시설 259
 
10.1%
아파트 71
 
2.8%
사무실 39
 
1.5%
단독주택 26
 
1.0%
다세대주택 10
 
0.4%
다중주택(공동주택적용 9
 
0.4%
교육연구시설 9
 
0.4%
기타 7
 
0.3%
다가구용 6
 
0.2%
Other values (5) 15
 
0.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2549
Missing (%)100.0%
Memory size22.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
<NA>
2267 
주거지역
 
82
일반주거지역
 
81
일반상업지역
 
35
상업지역
 
31
Other values (9)
 
53

Length

Max length6
Median length4
Mean length4.1204394
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> 2267
88.9%
주거지역 82
 
3.2%
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

2024-04-17T05:51:33.876425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2267
88.9%
주거지역 82
 
3.2%
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 

Missing2549
Missing (%)100.0%
Memory size22.5 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
25392540출판사04_17_01_P3330000CDFG125100201800003420181121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 945번지 해운대반도보라빌아파트 103동 901호부산광역시 해운대구 해운대로 495, 103동 901호 (우동, 해운대반도보라빌아파트)48065후와유20190108154614U2019-01-10 02:40:00.0<NA>395637.163917186945.42573출판사출판인쇄업<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>
25402541출판사04_17_01_P3330000CDFG125100201800003320180718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-1번지 부산문화콘텐츠컴플렉스부산광역시 해운대구 수영강변대로 140, 부산문화콘텐츠컴플렉스 5층 (우동)48058부산스런미디어20181121182627I2018-11-23 02:36:17.0<NA>393573.517297188018.687138출판사출판인쇄업6<NA><NA>3.974<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>
25412542출판사04_17_01_P3330000CDFG125100202000004720201209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1523 더블유비씨더팔레스오피스텔 102동 2701호부산광역시 해운대구 센텀1로 28, 더블유비씨더팔레스오피스텔 102동 2701호 (우동)48060(주)브라보소프트20201209175643I2020-12-12 00:23:07.0<NA>394115.595091187246.521205출판사출판인쇄업<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>
25422543출판사04_17_01_P3330000CDFG125100202000004920201215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1408 해운대아이파크부산광역시 해운대구 마린시티2로 38, 주3동 303호 (우동, 해운대아이파크)48120바다북스20201215183734I2020-12-17 00:23:06.0<NA>395164.437853186231.014715출판사출판인쇄업<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>
25432544출판사04_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>
25442545출판사04_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>
25452546출판사04_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>
25462547출판사04_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>
25472548출판사04_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>
25482549출판사04_17_01_P3330000CDFG125100202000004620201208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1187 센텀그린타워아파트 1512호부산광역시 해운대구 재송2로 153, 1512호 (재송동, 센텀그린타워아파트)48052단의담 콘텐츠20201208132027I2020-12-10 00:23:07.0<NA>394330.166508189981.11381출판사출판인쇄업<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>