Overview

Dataset statistics

Number of variables59
Number of observations2471
Missing cells62562
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory514.1 B

Variable types

Numeric14
Categorical19
Text6
Unsupported19
DateTime1

Dataset

Description22년07월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094211&dataSetDetailId=DDI_0000094204&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
상세영업상태명 is highly imbalanced (66.6%)Imbalance
휴업시작일자 is highly imbalanced (99.5%)Imbalance
휴업종료일자 is highly imbalanced (99.5%)Imbalance
주변환경명 is highly imbalanced (91.7%)Imbalance
지하층수 is highly imbalanced (75.9%)Imbalance
건물용도명 is highly imbalanced (77.8%)Imbalance
통로너비 is highly imbalanced (56.4%)Imbalance
조명시설조도 is highly imbalanced (56.4%)Imbalance
노래방실수 is highly imbalanced (56.4%)Imbalance
청소년실수 is highly imbalanced (56.4%)Imbalance
총게임기수 is highly imbalanced (56.4%)Imbalance
지역구분명 is highly imbalanced (82.7%)Imbalance
인허가취소일자 has 2464 (99.7%) missing valuesMissing
폐업일자 has 1842 (74.5%) missing valuesMissing
재개업일자 has 2471 (100.0%) missing valuesMissing
소재지전화 has 1060 (42.9%) missing valuesMissing
소재지면적 has 2471 (100.0%) missing valuesMissing
소재지우편번호 has 1152 (46.6%) missing valuesMissing
도로명전체주소 has 44 (1.8%) missing valuesMissing
도로명우편번호 has 410 (16.6%) missing valuesMissing
업태구분명 has 2471 (100.0%) missing valuesMissing
좌표정보(X) has 50 (2.0%) missing valuesMissing
좌표정보(Y) has 50 (2.0%) missing valuesMissing
총층수 has 2090 (84.6%) missing valuesMissing
제작취급품목내용 has 2470 (> 99.9%) missing valuesMissing
시설면적 has 1946 (78.8%) missing valuesMissing
지상층수 has 2022 (81.8%) missing valuesMissing
비상계단여부 has 2471 (100.0%) missing valuesMissing
비상구여부 has 2471 (100.0%) missing valuesMissing
자동환기여부 has 2471 (100.0%) missing valuesMissing
청소년실여부 has 2471 (100.0%) missing valuesMissing
특수조명여부 has 2471 (100.0%) missing valuesMissing
방음시설여부 has 2471 (100.0%) missing valuesMissing
비디오재생기명 has 2471 (100.0%) missing valuesMissing
조명시설유무 has 2471 (100.0%) missing valuesMissing
음향시설여부 has 2471 (100.0%) missing valuesMissing
편의시설여부 has 2471 (100.0%) missing valuesMissing
소방시설여부 has 2471 (100.0%) missing valuesMissing
기존게임업외업종명 has 2471 (100.0%) missing valuesMissing
제공게임물명 has 2471 (100.0%) missing valuesMissing
공연장형태구분명 has 2471 (100.0%) missing valuesMissing
품목명 has 2471 (100.0%) missing valuesMissing
최초등록시점 has 2471 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총층수 has 218 (8.8%) zerosZeros
시설면적 has 184 (7.4%) zerosZeros
지상층수 has 218 (8.8%) zerosZeros

Reproduction

Analysis started2023-12-10 18:07:59.618883
Analysis finished2023-12-10 18:08:02.184486
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2471
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1236
Minimum1
Maximum2471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:02.322884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile124.5
Q1618.5
median1236
Q31853.5
95-th percentile2347.5
Maximum2471
Range2470
Interquartile range (IQR)1235

Descriptive statistics

Standard deviation713.46058
Coefficient of variation (CV)0.57723348
Kurtosis-1.2
Mean1236
Median Absolute Deviation (MAD)618
Skewness0
Sum3054156
Variance509026
MonotonicityStrictly increasing
2023-12-11T03:08:02.584336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1651 1
 
< 0.1%
1644 1
 
< 0.1%
1645 1
 
< 0.1%
1646 1
 
< 0.1%
1647 1
 
< 0.1%
1648 1
 
< 0.1%
1649 1
 
< 0.1%
1650 1
 
< 0.1%
1652 1
 
< 0.1%
Other values (2461) 2461
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 (%)
2471 1
< 0.1%
2470 1
< 0.1%
2469 1
< 0.1%
2468 1
< 0.1%
2467 1
< 0.1%
2466 1
< 0.1%
2465 1
< 0.1%
2464 1
< 0.1%
2463 1
< 0.1%
2462 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
출판사
2471 

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 2471
100.0%

Length

2023-12-11T03:08:02.866782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:03.037279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2471
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
04_17_01_P
2471 

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 2471
100.0%

Length

2023-12-11T03:08:03.219460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:03.391308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2471
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440133.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:03.562977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23633.983
Coefficient of variation (CV)0.0068700772
Kurtosis-1.5271394
Mean3440133.5
Median Absolute Deviation (MAD)20000
Skewness-0.058310001
Sum8.50057 × 109
Variance5.5856515 × 108
MonotonicityIncreasing
2023-12-11T03:08:03.780018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 648
26.2%
3460000 543
22.0%
3470000 332
13.4%
3420000 299
12.1%
3450000 261
10.6%
3440000 225
 
9.1%
3430000 84
 
3.4%
3480000 79
 
3.2%
ValueCountFrequency (%)
3410000 648
26.2%
3420000 299
12.1%
3430000 84
 
3.4%
3440000 225
 
9.1%
3450000 261
10.6%
3460000 543
22.0%
3470000 332
13.4%
3480000 79
 
3.2%
ValueCountFrequency (%)
3480000 79
 
3.2%
3470000 332
13.4%
3460000 543
22.0%
3450000 261
10.6%
3440000 225
 
9.1%
3430000 84
 
3.4%
3420000 299
12.1%
3410000 648
26.2%

관리번호
Text

Distinct838
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-11T03:08:04.158265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters49420
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

Unique318 ?
Unique (%)12.9%

Sample

1st rowCDFG1251002000000028
2nd rowCDFG1251001996000012
3rd rowCDFG1251001990000004
4th rowCDFG1251001989000004
5th rowCDFG1251002001000018
ValueCountFrequency (%)
cdfg1251002021000003 8
 
0.3%
cdfg1251002022000001 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
cdfg1251002019000007 8
 
0.3%
cdfg1251002021000005 8
 
0.3%
cdfg1251002016000003 8
 
0.3%
cdfg1251002019000006 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
cdfg1251002020000001 8
 
0.3%
cdfg1251002009000001 8
 
0.3%
Other values (828) 2391
96.8%
2023-12-11T03:08:04.772757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19237
38.9%
1 7921
16.0%
2 6167
 
12.5%
5 2948
 
6.0%
C 2471
 
5.0%
D 2471
 
5.0%
F 2471
 
5.0%
G 2471
 
5.0%
9 886
 
1.8%
3 584
 
1.2%
Other values (4) 1793
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39536
80.0%
Uppercase Letter 9884
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19237
48.7%
1 7921
20.0%
2 6167
 
15.6%
5 2948
 
7.5%
9 886
 
2.2%
3 584
 
1.5%
4 473
 
1.2%
6 450
 
1.1%
8 449
 
1.1%
7 421
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 2471
25.0%
D 2471
25.0%
F 2471
25.0%
G 2471
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39536
80.0%
Latin 9884
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19237
48.7%
1 7921
20.0%
2 6167
 
15.6%
5 2948
 
7.5%
9 886
 
2.2%
3 584
 
1.5%
4 473
 
1.2%
6 450
 
1.1%
8 449
 
1.1%
7 421
 
1.1%
Latin
ValueCountFrequency (%)
C 2471
25.0%
D 2471
25.0%
F 2471
25.0%
G 2471
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19237
38.9%
1 7921
16.0%
2 6167
 
12.5%
5 2948
 
6.0%
C 2471
 
5.0%
D 2471
 
5.0%
F 2471
 
5.0%
G 2471
 
5.0%
9 886
 
1.8%
3 584
 
1.2%
Other values (4) 1793
 
3.6%

인허가일자
Real number (ℝ)

Distinct1977
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111791
Minimum19641012
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:05.124830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641012
5-th percentile19945662
Q120070208
median20121010
Q320180424
95-th percentile20211001
Maximum20220729
Range579717
Interquartile range (IQR)110216

Descriptive statistics

Standard deviation84661.934
Coefficient of variation (CV)0.0042095672
Kurtosis1.8525046
Mean20111791
Median Absolute Deviation (MAD)59400
Skewness-1.1703383
Sum4.9696235 × 1010
Variance7.1676431 × 109
MonotonicityNot monotonic
2023-12-11T03:08:05.722657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120620 6
 
0.2%
20120723 5
 
0.2%
20101118 5
 
0.2%
20120221 5
 
0.2%
20190319 4
 
0.2%
20120131 4
 
0.2%
20180105 4
 
0.2%
20111116 4
 
0.2%
20120425 4
 
0.2%
20190225 4
 
0.2%
Other values (1967) 2426
98.2%
ValueCountFrequency (%)
19641012 1
< 0.1%
19701123 1
< 0.1%
19710804 1
< 0.1%
19731011 1
< 0.1%
19731204 1
< 0.1%
19740831 1
< 0.1%
19740923 1
< 0.1%
19750414 1
< 0.1%
19750819 1
< 0.1%
19751117 1
< 0.1%
ValueCountFrequency (%)
20220729 1
< 0.1%
20220725 1
< 0.1%
20220719 1
< 0.1%
20220713 1
< 0.1%
20220706 1
< 0.1%
20220704 1
< 0.1%
20220630 1
< 0.1%
20220624 2
0.1%
20220623 1
< 0.1%
20220622 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing2464
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20131986
Minimum20091103
Maximum20170216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:05.970302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091103
5-th percentile20099810
Q120125264
median20130611
Q320140722
95-th percentile20164369
Maximum20170216
Range79113
Interquartile range (IQR)15457.5

Descriptive statistics

Standard deviation24599.267
Coefficient of variation (CV)0.0012218996
Kurtosis1.0649908
Mean20131986
Median Absolute Deviation (MAD)10484
Skewness-0.11844122
Sum1.409239 × 108
Variance6.0512393 × 108
MonotonicityNot monotonic
2023-12-11T03:08:06.214772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20120127 1
 
< 0.1%
20170216 1
 
< 0.1%
20091103 1
 
< 0.1%
20150725 1
 
< 0.1%
20130402 1
 
< 0.1%
20130719 1
 
< 0.1%
20130611 1
 
< 0.1%
(Missing) 2464
99.7%
ValueCountFrequency (%)
20091103 1
< 0.1%
20120127 1
< 0.1%
20130402 1
< 0.1%
20130611 1
< 0.1%
20130719 1
< 0.1%
20150725 1
< 0.1%
20170216 1
< 0.1%
ValueCountFrequency (%)
20170216 1
< 0.1%
20150725 1
< 0.1%
20130719 1
< 0.1%
20130611 1
< 0.1%
20130402 1
< 0.1%
20120127 1
< 0.1%
20091103 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
1
1809 
3
562 
4
 
99
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 1809
73.2%
3 562
 
22.7%
4 99
 
4.0%
2 1
 
< 0.1%

Length

2023-12-11T03:08:06.518633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:06.709718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1809
73.2%
3 562
 
22.7%
4 99
 
4.0%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
영업/정상
1809 
폐업
562 
취소/말소/만료/정지/중지
 
99
휴업
 
1

Length

Max length14
Median length5
Mean length4.6770538
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 1809
73.2%
폐업 562
 
22.7%
취소/말소/만료/정지/중지 99
 
4.0%
휴업 1
 
< 0.1%

Length

2023-12-11T03:08:06.932841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:07.134105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1809
73.2%
폐업 562
 
22.7%
취소/말소/만료/정지/중지 99
 
4.0%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.566977
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:07.318902image/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 deviation6.194508
Coefficient of variation (CV)0.53553388
Kurtosis4.8675287
Mean11.566977
Median Absolute Deviation (MAD)0
Skewness1.3219713
Sum28582
Variance38.371929
MonotonicityNot monotonic
2023-12-11T03:08:07.520517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1808
73.2%
3 561
 
22.7%
35 72
 
2.9%
30 19
 
0.8%
32 7
 
0.3%
2 1
 
< 0.1%
31 1
 
< 0.1%
14 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 561
 
22.7%
13 1808
73.2%
14 1
 
< 0.1%
30 19
 
0.8%
31 1
 
< 0.1%
32 7
 
0.3%
34 1
 
< 0.1%
35 72
 
2.9%
ValueCountFrequency (%)
35 72
 
2.9%
34 1
 
< 0.1%
32 7
 
0.3%
31 1
 
< 0.1%
30 19
 
0.8%
14 1
 
< 0.1%
13 1808
73.2%
3 561
 
22.7%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
영업중
1808 
폐업
561 
직권말소
 
72
허가취소
 
19
신고취소
 
7
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.8130312
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1808
73.2%
폐업 561
 
22.7%
직권말소 72
 
2.9%
허가취소 19
 
0.8%
신고취소 7
 
0.3%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
전입 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

Length

2023-12-11T03:08:07.783605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:07.998980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1808
73.2%
폐업 561
 
22.7%
직권말소 72
 
2.9%
허가취소 19
 
0.8%
신고취소 7
 
0.3%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
전입 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)79.5%
Missing1842
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean20141016
Minimum19981223
Maximum20220706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:08.228857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981223
5-th percentile20044785
Q120100622
median20151118
Q320180131
95-th percentile20211086
Maximum20220706
Range239483
Interquartile range (IQR)79509

Descriptive statistics

Standard deviation52972.955
Coefficient of variation (CV)0.0026301034
Kurtosis-0.71418343
Mean20141016
Median Absolute Deviation (MAD)39203
Skewness-0.52461063
Sum1.2668699 × 1010
Variance2.806134 × 109
MonotonicityNot monotonic
2023-12-11T03:08:08.508847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171218 55
 
2.2%
20180110 12
 
0.5%
20211231 6
 
0.2%
20200207 4
 
0.2%
20190315 4
 
0.2%
20170203 3
 
0.1%
20100719 3
 
0.1%
20181120 3
 
0.1%
20170410 3
 
0.1%
20080123 2
 
0.1%
Other values (490) 534
 
21.6%
(Missing) 1842
74.5%
ValueCountFrequency (%)
19981223 1
< 0.1%
20010103 1
< 0.1%
20010802 1
< 0.1%
20030206 1
< 0.1%
20030318 1
< 0.1%
20030324 1
< 0.1%
20030325 1
< 0.1%
20030408 1
< 0.1%
20030423 1
< 0.1%
20030509 1
< 0.1%
ValueCountFrequency (%)
20220706 1
< 0.1%
20220628 1
< 0.1%
20220624 1
< 0.1%
20220617 1
< 0.1%
20220608 1
< 0.1%
20220602 1
< 0.1%
20220429 1
< 0.1%
20220411 1
< 0.1%
20220408 1
< 0.1%
20220329 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2470 
20200401
 
1

Length

Max length8
Median length4
Mean length4.0016188
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2470
> 99.9%
20200401 1
 
< 0.1%

Length

2023-12-11T03:08:08.788021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:08.999442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2470
> 99.9%
20200401 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2470 
20200930
 
1

Length

Max length8
Median length4
Mean length4.0016188
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2470
> 99.9%
20200930 1
 
< 0.1%

Length

2023-12-11T03:08:09.279258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:09.487668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2470
> 99.9%
20200930 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

소재지전화
Text

MISSING 

Distinct1354
Distinct (%)96.0%
Missing1060
Missing (%)42.9%
Memory size19.4 KiB
2023-12-11T03:08:09.982322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.503189
Min length1

Characters and Unicode

Total characters14820
Distinct characters15
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

Unique1316 ?
Unique (%)93.3%

Sample

1st row256-1189
2nd row253-7060
3rd row423-8205
4th row252-9763
5th row255-5110,1
ValueCountFrequency (%)
000-0000 14
 
1.0%
0 4
 
0.3%
952-5252 4
 
0.3%
053-246-9344 3
 
0.2%
053-961-6126 3
 
0.2%
053-794-7022 3
 
0.2%
000 2
 
0.1%
742-8033 2
 
0.1%
053-425-4234 2
 
0.1%
053-252-6737 2
 
0.1%
Other values (1343) 1372
97.2%
2023-12-11T03:08:10.787947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2132
14.4%
5 2097
14.1%
0 2009
13.6%
3 1649
11.1%
2 1434
9.7%
7 1059
7.1%
4 1053
7.1%
6 996
6.7%
1 881
5.9%
8 739
 
5.0%
Other values (5) 771
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12633
85.2%
Dash Punctuation 2132
 
14.4%
Close Punctuation 25
 
0.2%
Open Punctuation 15
 
0.1%
Other Punctuation 10
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2097
16.6%
0 2009
15.9%
3 1649
13.1%
2 1434
11.4%
7 1059
8.4%
4 1053
8.3%
6 996
7.9%
1 881
7.0%
8 739
 
5.8%
9 716
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 2132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14820
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2132
14.4%
5 2097
14.1%
0 2009
13.6%
3 1649
11.1%
2 1434
9.7%
7 1059
7.1%
4 1053
7.1%
6 996
6.7%
1 881
5.9%
8 739
 
5.0%
Other values (5) 771
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2132
14.4%
5 2097
14.1%
0 2009
13.6%
3 1649
11.1%
2 1434
9.7%
7 1059
7.1%
4 1053
7.1%
6 996
6.7%
1 881
5.9%
8 739
 
5.0%
Other values (5) 771
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)38.6%
Missing1152
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean703550.88
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:11.161382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700398
Q1700821
median702857
Q3705833
95-th percentile706850.1
Maximum711891
Range11881
Interquartile range (IQR)5012

Descriptive statistics

Standard deviation2738.0188
Coefficient of variation (CV)0.003891714
Kurtosis-0.44445333
Mean703550.88
Median Absolute Deviation (MAD)2175
Skewness0.48431395
Sum9.2798362 × 108
Variance7496746.9
MonotonicityNot monotonic
2023-12-11T03:08:11.438563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700440 92
 
3.7%
700823 36
 
1.5%
700803 29
 
1.2%
700831 24
 
1.0%
700802 14
 
0.6%
700413 14
 
0.6%
700813 12
 
0.5%
706822 11
 
0.4%
700821 11
 
0.4%
700412 9
 
0.4%
Other values (499) 1067
43.2%
(Missing) 1152
46.6%
ValueCountFrequency (%)
700010 7
0.3%
700020 1
 
< 0.1%
700060 2
 
0.1%
700070 1
 
< 0.1%
700081 8
0.3%
700082 6
0.2%
700093 2
 
0.1%
700111 3
 
0.1%
700113 1
 
< 0.1%
700150 5
0.2%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711873 2
0.1%
711865 1
 
< 0.1%
711857 3
0.1%
711856 1
 
< 0.1%
711853 1
 
< 0.1%
711836 1
 
< 0.1%
711832 1
 
< 0.1%
711823 2
0.1%
711822 1
 
< 0.1%

소재지전체주소
Text

Distinct1365
Distinct (%)55.5%
Missing13
Missing (%)0.5%
Memory size19.4 KiB
2023-12-11T03:08:12.124644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.159072
Min length13

Characters and Unicode

Total characters61841
Distinct characters381
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1063 ?
Unique (%)43.2%

Sample

1st row대구광역시 중구 서문로*가 **-*번지
2nd row대구광역시 중구 남산동 ***-*번지
3rd row대구광역시 중구 봉산동 ***-**번지
4th row대구광역시 중구 남산동 ***-**번지
5th row대구광역시 중구 남산동 ***-*번지
ValueCountFrequency (%)
대구광역시 2458
21.0%
번지 1905
16.3%
중구 648
 
5.5%
수성구 540
 
4.6%
540
 
4.6%
호 436
 
3.7%
달서구 331
 
2.8%
동구 299
 
2.6%
남산동 283
 
2.4%
동 262
 
2.2%
Other values (850) 3998
34.2%
2023-12-11T03:08:13.214667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13008
21.0%
11295
18.3%
구 4917
 
8.0%
동 3086
 
5.0%
대 2858
 
4.6%
시 2512
 
4.1%
역 2473
 
4.0%
광 2466
 
4.0%
지 2085
 
3.4%
- 1910
 
3.1%
Other values (371) 15231
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35421
57.3%
Other Punctuation 13024
 
21.1%
Space Separator 11295
 
18.3%
Dash Punctuation 1910
 
3.1%
Uppercase Letter 100
 
0.2%
Open Punctuation 36
 
0.1%
Close Punctuation 36
 
0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4917
13.9%
동 3086
 
8.7%
대 2858
 
8.1%
시 2512
 
7.1%
역 2473
 
7.0%
광 2466
 
7.0%
지 2085
 
5.9%
번 1905
 
5.4%
성 913
 
2.6%
중 698
 
2.0%
Other values (335) 11508
32.5%
Uppercase Letter
ValueCountFrequency (%)
A 13
13.0%
B 12
12.0%
I 9
9.0%
S 8
 
8.0%
C 8
 
8.0%
W 6
 
6.0%
E 6
 
6.0%
K 6
 
6.0%
T 5
 
5.0%
L 5
 
5.0%
Other values (10) 22
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
66.7%
a 2
 
11.1%
k 1
 
5.6%
r 1
 
5.6%
p 1
 
5.6%
c 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 13008
99.9%
, 8
 
0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
11295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1910
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35421
57.3%
Common 26302
42.5%
Latin 118
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4917
13.9%
동 3086
 
8.7%
대 2858
 
8.1%
시 2512
 
7.1%
역 2473
 
7.0%
광 2466
 
7.0%
지 2085
 
5.9%
번 1905
 
5.4%
성 913
 
2.6%
중 698
 
2.0%
Other values (335) 11508
32.5%
Latin
ValueCountFrequency (%)
A 13
 
11.0%
B 12
 
10.2%
e 12
 
10.2%
I 9
 
7.6%
S 8
 
6.8%
C 8
 
6.8%
W 6
 
5.1%
E 6
 
5.1%
K 6
 
5.1%
T 5
 
4.2%
Other values (16) 33
28.0%
Common
ValueCountFrequency (%)
* 13008
49.5%
11295
42.9%
- 1910
 
7.3%
( 36
 
0.1%
) 36
 
0.1%
, 8
 
< 0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35421
57.3%
ASCII 26420
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13008
49.2%
11295
42.8%
- 1910
 
7.2%
( 36
 
0.1%
) 36
 
0.1%
A 13
 
< 0.1%
B 12
 
< 0.1%
e 12
 
< 0.1%
I 9
 
< 0.1%
S 8
 
< 0.1%
Other values (26) 81
 
0.3%
Hangul
ValueCountFrequency (%)
구 4917
13.9%
동 3086
 
8.7%
대 2858
 
8.1%
시 2512
 
7.1%
역 2473
 
7.0%
광 2466
 
7.0%
지 2085
 
5.9%
번 1905
 
5.4%
성 913
 
2.6%
중 698
 
2.0%
Other values (335) 11508
32.5%

도로명전체주소
Text

MISSING 

Distinct1893
Distinct (%)78.0%
Missing44
Missing (%)1.8%
Memory size19.4 KiB
2023-12-11T03:08:13.850769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length30.985991
Min length19

Characters and Unicode

Total characters75203
Distinct characters421
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1618 ?
Unique (%)66.7%

Sample

1st row대구광역시 중구 국채보상로***길 * (서문로*가)
2nd row대구광역시 중구 달구벌대로 **** (남산동)
3rd row대구광역시 중구 명륜로*길 ** (남산동)
4th row대구광역시 중구 명륜로 * (남산동)
5th row대구광역시 중구 명륜로 *** (대봉동)
ValueCountFrequency (%)
2437
 
16.5%
대구광역시 2427
 
16.5%
호 799
 
5.4%
중구 627
 
4.3%
수성구 542
 
3.7%
동 464
 
3.1%
층 399
 
2.7%
달서구 331
 
2.2%
동구 298
 
2.0%
남산동 274
 
1.9%
Other values (1429) 6154
41.7%
2023-12-11T03:08:14.802322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13159
17.5%
12583
16.7%
구 5130
 
6.8%
동 3574
 
4.8%
대 3324
 
4.4%
시 2501
 
3.3%
역 2456
 
3.3%
광 2436
 
3.2%
) 2405
 
3.2%
( 2405
 
3.2%
Other values (411) 25230
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42151
56.0%
Other Punctuation 14979
 
19.9%
Space Separator 12583
 
16.7%
Close Punctuation 2405
 
3.2%
Open Punctuation 2405
 
3.2%
Dash Punctuation 536
 
0.7%
Uppercase Letter 119
 
0.2%
Lowercase Letter 22
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5130
 
12.2%
동 3574
 
8.5%
대 3324
 
7.9%
시 2501
 
5.9%
역 2456
 
5.8%
광 2436
 
5.8%
로 2315
 
5.5%
길 1162
 
2.8%
성 1086
 
2.6%
호 930
 
2.2%
Other values (373) 17237
40.9%
Uppercase Letter
ValueCountFrequency (%)
B 17
14.3%
A 13
10.9%
I 12
10.1%
C 11
9.2%
S 9
 
7.6%
T 9
 
7.6%
E 6
 
5.0%
K 5
 
4.2%
H 5
 
4.2%
L 5
 
4.2%
Other values (11) 27
22.7%
Other Punctuation
ValueCountFrequency (%)
* 13159
87.8%
, 1810
 
12.1%
· 4
 
< 0.1%
/ 3
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 13
59.1%
a 3
 
13.6%
k 2
 
9.1%
r 2
 
9.1%
p 1
 
4.5%
c 1
 
4.5%
Space Separator
ValueCountFrequency (%)
12583
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 536
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42151
56.0%
Common 32911
43.8%
Latin 141
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5130
 
12.2%
동 3574
 
8.5%
대 3324
 
7.9%
시 2501
 
5.9%
역 2456
 
5.8%
광 2436
 
5.8%
로 2315
 
5.5%
길 1162
 
2.8%
성 1086
 
2.6%
호 930
 
2.2%
Other values (373) 17237
40.9%
Latin
ValueCountFrequency (%)
B 17
12.1%
e 13
 
9.2%
A 13
 
9.2%
I 12
 
8.5%
C 11
 
7.8%
S 9
 
6.4%
T 9
 
6.4%
E 6
 
4.3%
K 5
 
3.5%
H 5
 
3.5%
Other values (17) 41
29.1%
Common
ValueCountFrequency (%)
* 13159
40.0%
12583
38.2%
) 2405
 
7.3%
( 2405
 
7.3%
, 1810
 
5.5%
- 536
 
1.6%
· 4
 
< 0.1%
/ 3
 
< 0.1%
~ 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42151
56.0%
ASCII 33048
43.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13159
39.8%
12583
38.1%
) 2405
 
7.3%
( 2405
 
7.3%
, 1810
 
5.5%
- 536
 
1.6%
B 17
 
0.1%
e 13
 
< 0.1%
A 13
 
< 0.1%
I 12
 
< 0.1%
Other values (27) 95
 
0.3%
Hangul
ValueCountFrequency (%)
구 5130
 
12.2%
동 3574
 
8.5%
대 3324
 
7.9%
시 2501
 
5.9%
역 2456
 
5.8%
광 2436
 
5.8%
로 2315
 
5.5%
길 1162
 
2.8%
성 1086
 
2.6%
호 930
 
2.2%
Other values (373) 17237
40.9%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1034
Distinct (%)50.2%
Missing410
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean335817.17
Minimum41001
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:15.102594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41182
Q141965
median42741
Q3701813
95-th percentile706806
Maximum711891
Range670890
Interquartile range (IQR)659848

Descriptive statistics

Standard deviation328560.07
Coefficient of variation (CV)0.97838973
Kurtosis-1.9516591
Mean335817.17
Median Absolute Deviation (MAD)1528
Skewness0.22385367
Sum6.9211918 × 108
Variance1.0795172 × 1011
MonotonicityNot monotonic
2023-12-11T03:08:15.378128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700831 57
 
2.3%
700823 36
 
1.5%
700802 28
 
1.1%
41965 20
 
0.8%
42699 17
 
0.7%
41966 14
 
0.6%
700832 14
 
0.6%
41958 13
 
0.5%
41919 12
 
0.5%
700835 12
 
0.5%
Other values (1024) 1838
74.4%
(Missing) 410
 
16.6%
ValueCountFrequency (%)
41001 2
0.1%
41002 1
 
< 0.1%
41005 4
0.2%
41007 1
 
< 0.1%
41009 1
 
< 0.1%
41015 1
 
< 0.1%
41022 2
0.1%
41023 1
 
< 0.1%
41026 3
0.1%
41028 2
0.1%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711873 2
0.1%
711865 1
 
< 0.1%
711857 3
0.1%
711856 1
 
< 0.1%
711853 1
 
< 0.1%
711836 1
 
< 0.1%
711832 1
 
< 0.1%
711823 2
0.1%
711822 1
 
< 0.1%

사업장명
Text

Distinct2393
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-11T03:08:15.943397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6936463
Min length1

Characters and Unicode

Total characters16540
Distinct characters763
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2320 ?
Unique (%)93.9%

Sample

1st row도서출판보람
2nd row벧엘기획
3rd row도서출판이정표
4th row문예사
5th row모던출판사
ValueCountFrequency (%)
도서출판 230
 
6.9%
주식회사 106
 
3.2%
출판사 48
 
1.4%
디자인 22
 
0.7%
출판 12
 
0.4%
사단법인 10
 
0.3%
press 7
 
0.2%
커뮤니케이션 7
 
0.2%
인쇄 6
 
0.2%
books 6
 
0.2%
Other values (2652) 2875
86.4%
2023-12-11T03:08:16.742406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
858
 
5.2%
사 600
 
3.6%
판 597
 
3.6%
출 596
 
3.6%
서 358
 
2.2%
주 340
 
2.1%
도 337
 
2.0%
) 314
 
1.9%
인 313
 
1.9%
( 312
 
1.9%
Other values (753) 11915
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13499
81.6%
Space Separator 858
 
5.2%
Lowercase Letter 732
 
4.4%
Uppercase Letter 688
 
4.2%
Close Punctuation 314
 
1.9%
Open Punctuation 312
 
1.9%
Decimal Number 68
 
0.4%
Other Punctuation 58
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 600
 
4.4%
판 597
 
4.4%
출 596
 
4.4%
서 358
 
2.7%
주 340
 
2.5%
도 337
 
2.5%
인 313
 
2.3%
이 300
 
2.2%
스 287
 
2.1%
디 191
 
1.4%
Other values (679) 9580
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 58
 
8.4%
O 53
 
7.7%
A 47
 
6.8%
M 44
 
6.4%
E 40
 
5.8%
C 38
 
5.5%
I 38
 
5.5%
P 36
 
5.2%
B 35
 
5.1%
T 34
 
4.9%
Other values (15) 265
38.5%
Lowercase Letter
ValueCountFrequency (%)
o 80
10.9%
e 75
 
10.2%
s 60
 
8.2%
n 59
 
8.1%
i 57
 
7.8%
a 56
 
7.7%
r 44
 
6.0%
l 42
 
5.7%
t 41
 
5.6%
u 27
 
3.7%
Other values (13) 191
26.1%
Decimal Number
ValueCountFrequency (%)
1 17
25.0%
2 12
17.6%
3 10
14.7%
5 8
11.8%
0 8
11.8%
9 6
 
8.8%
4 2
 
2.9%
7 2
 
2.9%
8 2
 
2.9%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 29
50.0%
& 16
27.6%
, 4
 
6.9%
' 3
 
5.2%
" 2
 
3.4%
% 2
 
3.4%
/ 1
 
1.7%
· 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
< 1
33.3%
+ 1
33.3%
> 1
33.3%
Space Separator
ValueCountFrequency (%)
858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13468
81.4%
Common 1621
 
9.8%
Latin 1420
 
8.6%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 600
 
4.5%
판 597
 
4.4%
출 596
 
4.4%
서 358
 
2.7%
주 340
 
2.5%
도 337
 
2.5%
인 313
 
2.3%
이 300
 
2.2%
스 287
 
2.1%
디 191
 
1.4%
Other values (654) 9549
70.9%
Latin
ValueCountFrequency (%)
o 80
 
5.6%
e 75
 
5.3%
s 60
 
4.2%
n 59
 
4.2%
S 58
 
4.1%
i 57
 
4.0%
a 56
 
3.9%
O 53
 
3.7%
A 47
 
3.3%
M 44
 
3.1%
Other values (38) 831
58.5%
Common
ValueCountFrequency (%)
858
52.9%
) 314
 
19.4%
( 312
 
19.2%
. 29
 
1.8%
1 17
 
1.0%
& 16
 
1.0%
2 12
 
0.7%
3 10
 
0.6%
5 8
 
0.5%
0 8
 
0.5%
Other values (16) 37
 
2.3%
Han
ValueCountFrequency (%)
文 3
 
9.7%
靑 2
 
6.5%
堂 2
 
6.5%
自 2
 
6.5%
印 2
 
6.5%
林 1
 
3.2%
鳳 1
 
3.2%
岡 1
 
3.2%
齋 1
 
3.2%
硯 1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13465
81.4%
ASCII 3040
 
18.4%
CJK 30
 
0.2%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
858
28.2%
) 314
 
10.3%
( 312
 
10.3%
o 80
 
2.6%
e 75
 
2.5%
s 60
 
2.0%
n 59
 
1.9%
S 58
 
1.9%
i 57
 
1.9%
a 56
 
1.8%
Other values (63) 1111
36.5%
Hangul
ValueCountFrequency (%)
사 600
 
4.5%
판 597
 
4.4%
출 596
 
4.4%
서 358
 
2.7%
주 340
 
2.5%
도 337
 
2.5%
인 313
 
2.3%
이 300
 
2.2%
스 287
 
2.1%
디 191
 
1.4%
Other values (651) 9546
70.9%
CJK
ValueCountFrequency (%)
文 3
 
10.0%
靑 2
 
6.7%
堂 2
 
6.7%
自 2
 
6.7%
印 2
 
6.7%
林 1
 
3.3%
鳳 1
 
3.3%
岡 1
 
3.3%
齋 1
 
3.3%
硯 1
 
3.3%
Other values (14) 14
46.7%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
33.3%
ㅇ 1
33.3%
ㆍ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2471
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157272 × 1013
Minimum2.0021209 × 1013
Maximum2.0220729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:17.045102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021209 × 1013
5-th percentile2.0070124 × 1013
Q12.013022 × 1013
median2.0161108 × 1013
Q32.0200107 × 1013
95-th percentile2.0220226 × 1013
Maximum2.0220729 × 1013
Range1.9952002 × 1011
Interquartile range (IQR)6.9886963 × 1010

Descriptive statistics

Standard deviation4.5994423 × 1010
Coefficient of variation (CV)0.0022817781
Kurtosis-0.1129608
Mean2.0157272 × 1013
Median Absolute Deviation (MAD)3.0901022 × 1010
Skewness-0.63815275
Sum4.980862 × 1016
Variance2.1154869 × 1021
MonotonicityNot monotonic
2023-12-11T03:08:17.346390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113130630 1
 
< 0.1%
20200714180625 1
 
< 0.1%
20180727174600 1
 
< 0.1%
20180823111306 1
 
< 0.1%
20200805143550 1
 
< 0.1%
20200728140847 1
 
< 0.1%
20200728140045 1
 
< 0.1%
20200825090201 1
 
< 0.1%
20200823145119 1
 
< 0.1%
20200823144618 1
 
< 0.1%
Other values (2461) 2461
99.6%
ValueCountFrequency (%)
20021209144112 1
< 0.1%
20021223174146 1
< 0.1%
20021224154652 1
< 0.1%
20030108150910 1
< 0.1%
20030110131542 1
< 0.1%
20030110132014 1
< 0.1%
20030115104554 1
< 0.1%
20030206115200 1
< 0.1%
20030208110347 1
< 0.1%
20030307134814 1
< 0.1%
ValueCountFrequency (%)
20220729160700 1
< 0.1%
20220729092013 1
< 0.1%
20220727111437 1
< 0.1%
20220727091921 1
< 0.1%
20220725135105 1
< 0.1%
20220722155115 1
< 0.1%
20220722131034 1
< 0.1%
20220722091540 1
< 0.1%
20220720132629 1
< 0.1%
20220719115451 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
I
2097 
U
374 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2097
84.9%
U 374
 
15.1%

Length

2023-12-11T03:08:17.659235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:17.844226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2097
84.9%
u 374
 
15.1%

데이터갱신일자
Date

Distinct679
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-31 02:40:00
2023-12-11T03:08:18.055618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:08:18.334012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1949
Distinct (%)80.5%
Missing50
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean344156.5
Minimum327735.04
Maximum358331.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:18.590854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327735.04
5-th percentile336451.23
Q1342397.74
median344127.49
Q3346673.39
95-th percentile353431.34
Maximum358331.96
Range30596.918
Interquartile range (IQR)4275.6503

Descriptive statistics

Standard deviation4596.3429
Coefficient of variation (CV)0.013355386
Kurtosis1.2075444
Mean344156.5
Median Absolute Deviation (MAD)2409.5069
Skewness-0.081207213
Sum8.332029 × 108
Variance21126368
MonotonicityNot monotonic
2023-12-11T03:08:18.862152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844135 8
 
0.3%
342774.766132 8
 
0.3%
345299.742438 8
 
0.3%
337648.965009 7
 
0.3%
346942.691097 7
 
0.3%
344686.259338 6
 
0.2%
338899.412795 6
 
0.2%
343199.085449 6
 
0.2%
347385.97527 5
 
0.2%
333231.030913 5
 
0.2%
Other values (1939) 2355
95.3%
(Missing) 50
 
2.0%
ValueCountFrequency (%)
327735.044524 1
< 0.1%
327853.173809 1
< 0.1%
328100.968316 1
< 0.1%
328822.571709 1
< 0.1%
329247.390016 1
< 0.1%
329282.731288 1
< 0.1%
329807.357341 1
< 0.1%
330130.823289 1
< 0.1%
330202.0 1
< 0.1%
330493.0 2
0.1%
ValueCountFrequency (%)
358331.962448 1
 
< 0.1%
358213.056494 1
 
< 0.1%
357975.880928 1
 
< 0.1%
357888.724162 3
0.1%
357835.663303 1
 
< 0.1%
357672.59192 1
 
< 0.1%
356881.723508 1
 
< 0.1%
356698.367083 1
 
< 0.1%
356563.295271 1
 
< 0.1%
356548.207715 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1950
Distinct (%)80.5%
Missing50
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263328.91
Minimum239218.02
Maximum277949.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:19.120972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258617.93
Q1261768.59
median263487.94
Q3264664.02
95-th percentile269265.84
Maximum277949.2
Range38731.182
Interquartile range (IQR)2895.4317

Descriptive statistics

Standard deviation3521.8704
Coefficient of variation (CV)0.013374416
Kurtosis8.1190022
Mean263328.91
Median Absolute Deviation (MAD)1339.446
Skewness-0.8817197
Sum6.375193 × 108
Variance12403571
MonotonicityNot monotonic
2023-12-11T03:08:19.387971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.902173 8
 
0.3%
262912.887933 8
 
0.3%
266806.443246 8
 
0.3%
261472.280465 7
 
0.3%
263989.847737 7
 
0.3%
263958.880864 6
 
0.2%
257234.537085 6
 
0.2%
263950.695637 6
 
0.2%
261131.856154 5
 
0.2%
264683.827139 5
 
0.2%
Other values (1940) 2355
95.3%
(Missing) 50
 
2.0%
ValueCountFrequency (%)
239218.020983 1
< 0.1%
240358.722944 1
< 0.1%
244495.0 1
< 0.1%
244504.0 1
< 0.1%
244632.0 1
< 0.1%
244639.0 1
< 0.1%
244716.032592 1
< 0.1%
244720.534505 1
< 0.1%
244747.0 1
< 0.1%
244962.0 1
< 0.1%
ValueCountFrequency (%)
277949.202873 1
< 0.1%
277837.416974 1
< 0.1%
277799.708684 1
< 0.1%
277700.900957 1
< 0.1%
277397.28432 1
< 0.1%
276507.527883 1
< 0.1%
275303.582391 1
< 0.1%
274473.154015 1
< 0.1%
274156.338864 1
< 0.1%
273723.417066 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
출판사
2471 

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 2471
100.0%

Length

2023-12-11T03:08:19.644428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:19.783427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2471
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
출판인쇄업
2471 

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 2471
100.0%

Length

2023-12-11T03:08:19.959440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:20.150511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2471
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.7%
Missing2090
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean1.855643
Minimum0
Maximum21
Zeros218
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:20.316147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile7
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0543586
Coefficient of variation (CV)1.6459839
Kurtosis11.571725
Mean1.855643
Median Absolute Deviation (MAD)0
Skewness2.8041295
Sum707
Variance9.3291062
MonotonicityNot monotonic
2023-12-11T03:08:20.498415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 218
 
8.8%
4 31
 
1.3%
5 26
 
1.1%
3 26
 
1.1%
2 25
 
1.0%
1 21
 
0.8%
6 12
 
0.5%
7 7
 
0.3%
8 5
 
0.2%
10 4
 
0.2%
Other values (4) 6
 
0.2%
(Missing) 2090
84.6%
ValueCountFrequency (%)
0 218
8.8%
1 21
 
0.8%
2 25
 
1.0%
3 26
 
1.1%
4 31
 
1.3%
5 26
 
1.1%
6 12
 
0.5%
7 7
 
0.3%
8 5
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
19 3
 
0.1%
16 1
 
< 0.1%
10 4
 
0.2%
9 1
 
< 0.1%
8 5
 
0.2%
7 7
 
0.3%
6 12
 
0.5%
5 26
1.1%
4 31
1.3%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2409 
기타
 
30
아파트지역
 
14
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.994739
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2409
97.5%
기타 30
 
1.2%
아파트지역 14
 
0.6%
주택가주변 13
 
0.5%
학교정화(절대) 3
 
0.1%
학교정화(상대) 2
 
0.1%

Length

2023-12-11T03:08:21.134140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:21.347205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2409
97.5%
기타 30
 
1.2%
아파트지역 14
 
0.6%
주택가주변 13
 
0.5%
학교정화(절대 3
 
0.1%
학교정화(상대 2
 
0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2470
Missing (%)> 99.9%
Memory size19.4 KiB
2023-12-11T03:08:21.560229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1인 무점포 출판사
ValueCountFrequency (%)
1인 1
33.3%
무점포 1
33.3%
출판사 1
33.3%
2023-12-11T03:08:22.037758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
20.0%
1 1
10.0%
인 1
10.0%
무 1
10.0%
점 1
10.0%
포 1
10.0%
출 1
10.0%
판 1
10.0%
사 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
70.0%
Space Separator 2
 
20.0%
Decimal Number 1
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1
14.3%
무 1
14.3%
점 1
14.3%
포 1
14.3%
출 1
14.3%
판 1
14.3%
사 1
14.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
70.0%
Common 3
30.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1
14.3%
무 1
14.3%
점 1
14.3%
포 1
14.3%
출 1
14.3%
판 1
14.3%
사 1
14.3%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
70.0%
ASCII 3
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%
Hangul
ValueCountFrequency (%)
인 1
14.3%
무 1
14.3%
점 1
14.3%
포 1
14.3%
출 1
14.3%
판 1
14.3%
사 1
14.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct302
Distinct (%)57.5%
Missing1946
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean109.90467
Minimum0
Maximum5188.8
Zeros184
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:22.325816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50.94
Q3116.97
95-th percentile430.14
Maximum5188.8
Range5188.8
Interquartile range (IQR)116.97

Descriptive statistics

Standard deviation277.40771
Coefficient of variation (CV)2.5240758
Kurtosis217.80455
Mean109.90467
Median Absolute Deviation (MAD)50.94
Skewness12.619789
Sum57699.95
Variance76955.038
MonotonicityNot monotonic
2023-12-11T03:08:22.635573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 184
 
7.4%
33.0 6
 
0.2%
66.0 4
 
0.2%
115.0 3
 
0.1%
30.0 3
 
0.1%
42.0 3
 
0.1%
84.99 3
 
0.1%
49.5 2
 
0.1%
168.54 2
 
0.1%
164.02 2
 
0.1%
Other values (292) 313
 
12.7%
(Missing) 1946
78.8%
ValueCountFrequency (%)
0.0 184
7.4%
2.19 1
 
< 0.1%
3.0 2
 
0.1%
3.32 1
 
< 0.1%
7.0 1
 
< 0.1%
8.8 2
 
0.1%
9.0 1
 
< 0.1%
10.0 1
 
< 0.1%
15.0 1
 
< 0.1%
15.25 1
 
< 0.1%
ValueCountFrequency (%)
5188.8 1
< 0.1%
1835.29 1
< 0.1%
1039.13 1
< 0.1%
989.93 1
< 0.1%
957.24 1
< 0.1%
757.12 1
< 0.1%
755.58 1
< 0.1%
727.17 1
< 0.1%
645.36 1
< 0.1%
644.1 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)4.0%
Missing2022
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean2.0200445
Minimum0
Maximum24
Zeros218
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T03:08:22.878621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1320704
Coefficient of variation (CV)1.5504957
Kurtosis13.37904
Mean2.0200445
Median Absolute Deviation (MAD)1
Skewness3.062466
Sum907
Variance9.8098652
MonotonicityNot monotonic
2023-12-11T03:08:23.128123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 218
 
8.8%
2 50
 
2.0%
3 46
 
1.9%
4 43
 
1.7%
1 34
 
1.4%
5 26
 
1.1%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
15 3
 
0.1%
Other values (8) 12
 
0.5%
(Missing) 2022
81.8%
ValueCountFrequency (%)
0 218
8.8%
1 34
 
1.4%
2 50
 
2.0%
3 46
 
1.9%
4 43
 
1.7%
5 26
 
1.1%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
18 2
0.1%
15 3
0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 3
0.1%
9 2
0.1%
8 4
0.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2183 
0
223 
1
 
60
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.650344
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2183
88.3%
0 223
 
9.0%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2023-12-11T03:08:23.439693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:23.648580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2183
88.3%
0 223
 
9.0%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2124 
근린생활시설
236 
아파트
 
40
사무실
 
25
단독주택
 
23
Other values (8)
 
23

Length

Max length15
Median length4
Mean length4.2023472
Min length3

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2124
86.0%
근린생활시설 236
 
9.6%
아파트 40
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 9
 
0.4%
다가구용 주택(공동주택적용) 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
콘도미니엄 1
 
< 0.1%
Other values (3) 3
 
0.1%

Length

2023-12-11T03:08:23.858155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2124
85.7%
근린생활시설 236
 
9.5%
아파트 40
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 9
 
0.4%
다가구용 6
 
0.2%
주택(공동주택적용 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
Other values (4) 4
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2249 
0
 
222

Length

Max length4
Median length4
Mean length3.7304735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2249
91.0%
0 222
 
9.0%

Length

2023-12-11T03:08:24.102289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:24.298038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2249
91.0%
0 222
 
9.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2249 
0
 
222

Length

Max length4
Median length4
Mean length3.7304735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2249
91.0%
0 222
 
9.0%

Length

2023-12-11T03:08:24.491976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:24.666381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2249
91.0%
0 222
 
9.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2249 
0
 
222

Length

Max length4
Median length4
Mean length3.7304735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2249
91.0%
0 222
 
9.0%

Length

2023-12-11T03:08:24.860994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:25.045835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2249
91.0%
0 222
 
9.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2249 
0
 
222

Length

Max length4
Median length4
Mean length3.7304735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2249
91.0%
0 222
 
9.0%

Length

2023-12-11T03:08:25.242192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:25.440016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2249
91.0%
0 222
 
9.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2249 
0
 
222

Length

Max length4
Median length4
Mean length3.7304735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2249
91.0%
0 222
 
9.0%

Length

2023-12-11T03:08:25.665152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:08:25.859093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2249
91.0%
0 222
 
9.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2471
Missing (%)100.0%
Memory size21.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2245 
일반주거지역
 
105
주거지역
 
34
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
41

Length

Max length6
Median length4
Mean length4.14569
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2245
90.9%
일반주거지역 105
 
4.2%
주거지역 34
 
1.4%
근린상업지역 25
 
1.0%
일반상업지역 21
 
0.8%
중심상업지역 12
 
0.5%
준주거지역 11
 
0.4%
자연녹지지역 4
 
0.2%
상업지역 4
 
0.2%
전용주거지역 3
 
0.1%
Other values (5) 7
 
0.3%

Length

2023-12-11T03:08:26.070072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2245
90.9%
일반주거지역 105
 
4.2%
주거지역 34
 
1.4%
근린상업지역 25
 
1.0%
일반상업지역 21
 
0.8%
중심상업지역 12
 
0.5%
준주거지역 11
 
0.4%
자연녹지지역 4
 
0.2%
상업지역 4
 
0.2%
전용주거지역 3
 
0.1%
Other values (5) 7
 
0.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01출판사04_17_01_P3410000CDFG125100200000002820001127<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>256-1189<NA>700252대구광역시 중구 서문로*가 **-*번지대구광역시 중구 국채보상로***길 * (서문로*가)<NA>도서출판보람20050113130630I2018-08-31 23:59:59.0<NA>343067.346319264563.806983출판사출판인쇄업<NA><NA><NA><NA><NA><NA><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_P3410000CDFG125100199600001219960530<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>253-7060<NA>700440대구광역시 중구 남산동 ***-*번지대구광역시 중구 달구벌대로 **** (남산동)<NA>벧엘기획20050113130556I2018-08-31 23:59:59.0<NA>343239.575332264017.471634출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100199000000419900711<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>423-8205<NA>700823대구광역시 중구 봉산동 ***-**번지<NA><NA>도서출판이정표20050113130653I2018-08-31 23:59:59.0<NA>344077.106483263555.074113출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100198900000419890601<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>252-9763<NA>700440대구광역시 중구 남산동 ***-**번지대구광역시 중구 명륜로*길 ** (남산동)<NA>문예사20070705101458I2018-08-31 23:59:59.0<NA>343421.548412264145.677298출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100200100001820010907<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>255-5110,1<NA>700440대구광역시 중구 남산동 ***-*번지대구광역시 중구 명륜로 * (남산동)<NA>모던출판사20050113130449I2018-08-31 23:59:59.0<NA>343372.266924264026.980412출판사출판인쇄업<NA><NA><NA><NA><NA><NA><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_P3410000CDFG125100200100002120010914<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>425-0005<NA>700813대구광역시 중구 대봉동 ***-*번지대구광역시 중구 명륜로 *** (대봉동)<NA>문화춘추20050113130144I2018-08-31 23:59:59.0<NA>344326.652217263365.294927출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100199200000319920325201201274취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>423-1816,422-1447<NA>700823대구광역시 중구 봉산동 ***-*번지대구광역시 중구 명륜로**길 ** (봉산동)700823명심출판사20120127114439I2018-08-31 23:59:59.0<NA>344111.451178263450.084849출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100201000001320100429<NA>4취소/말소/만료/정지/중지35직권말소20210903<NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 ***-* 스카이랜드오피스텔대구광역시 중구 봉산문화*길 **-**, 스카이랜드오피스텔 ***호 (봉산동)41959이서국20210904143919U2021-09-06 02:40:00.0<NA>344262.034771263735.924488출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
89출판사04_17_01_P3410000CDFG125100201500002720151208<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-5194<NA><NA>대구광역시 중구 봉산동 ***-***번지대구광역시 중구 명륜로**길 ** (봉산동)41958성민인쇄기획20151208102603I2018-08-31 23:59:59.0<NA>344063.621541263591.552437출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100201500002820151210<NA>1영업/정상13영업중<NA><NA><NA><NA>053-214-6116<NA><NA>대구광역시 중구 서내동 **-*번지대구광역시 중구 서성로**길 ** (서내동)41919더스타일20151210151053I2018-08-31 23:59:59.0<NA>343431.965046264751.408155출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
24612462출판사04_17_01_P3480000CDFG125100202200000320220302<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 ***-* ***호대구광역시 달성군 현풍읍 테크노중앙대로*길 **-**, ***호43014킹스멘하우스20220302175823I2022-03-04 00:22:37.0<NA>331669.0245100.0출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
24622463출판사04_17_01_P3480000CDFG125100202200000420220302<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 **** 대실역청아람 *단지 ***동 ****호대구광역시 달성군 다사읍 대실역북로 **, ***동 ****호 (대실역청아람 *단지)42912소율서당20220302191300I2022-03-04 00:22:37.0<NA>332648.595843263288.808019출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
24632464출판사04_17_01_P3480000CDFG125100202200000520070706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 우록리 ***-**대구광역시 달성군 가창면 우록길 ***, *층42940주노아트20220321182928I2022-03-23 00:22:45.0<NA>349636.489719248464.378237출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
24642465출판사04_17_01_P3480000CDFG125100202000000120200212<NA>1영업/정상13영업중<NA><NA><NA><NA>0532631102<NA><NA>대구광역시 달성군 다사읍 죽곡리 ***-*번지대구광역시 달성군 다사읍 대실역남로*길 *-*, *층42917예술과사람20200212160516I2020-02-14 00:23:30.0<NA>332518.958942262057.097608출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24652466출판사04_17_01_P3480000CDFG125100201800000520180822<NA>1영업/정상13영업중<NA><NA><NA><NA>053-785-6683<NA><NA>대구광역시 달성군 현풍면 상리 **-*번지 E*-***호대구광역시 달성군 현풍면 테크노중앙대로 ***, DGIST E*-***호42988DGIST Press20180822140800I2018-08-31 23:59:59.0<NA>332313.120088246384.553707출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24662467출판사04_17_01_P3480000CDFG125100202100001120211015<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 *** 대구테크노폴리스남해오네뜨*차대구광역시 달성군 유가읍 테크노대로*길 **, ***동 ****호 (대구테크노폴리스남해오네뜨*차)43016미래엔미디어20211015182651I2021-10-17 00:22:47.0<NA>332569.0244747.0출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
24672468출판사04_17_01_P3480000CDFG125100202100001220211208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 *** 서재보성타운 ***동 ****호대구광역시 달성군 다사읍 서재로**길 **, ***동 ****호 (서재보성타운)42925해피, 비해피(Happy, be happy)20211208103703I2021-12-10 00:22:42.0<NA>335406.606797265096.938734출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
24682469출판사04_17_01_P3480000CDFG125100202000000220200819<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 **** 에코폴리스 동화 아이위시 *차대구광역시 달성군 다사읍 서재로*길 **, ***동 ****호 (에코폴리스 동화 아이위시 *차)42929마누스20200819175952I2020-08-21 00:23:14.0<NA>334580.0264294.0출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24692470출판사04_17_01_P3480000CDFG125100202100001020210924<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 설화리 ***-***대구광역시 달성군 화원읍 비슬로***길 *42945코코플랜20210924103831I2021-09-26 00:22:48.0<NA>334351.927723256349.121957출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
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