Overview

Dataset statistics

Number of variables59
Number of observations2524
Missing cells63813
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

Description22년11월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097151&dataSetDetailId=DDI_0000097147&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 (91.8%)Imbalance
지하층수 is highly imbalanced (73.1%)Imbalance
건물용도명 is highly imbalanced (78.0%)Imbalance
지역구분명 is highly imbalanced (83.0%)Imbalance
인허가취소일자 has 2516 (99.7%) missing valuesMissing
폐업일자 has 1885 (74.7%) missing valuesMissing
재개업일자 has 2524 (100.0%) missing valuesMissing
소재지전화 has 1103 (43.7%) missing valuesMissing
소재지면적 has 2524 (100.0%) missing valuesMissing
소재지우편번호 has 1208 (47.9%) missing valuesMissing
도로명전체주소 has 44 (1.7%) missing valuesMissing
도로명우편번호 has 410 (16.2%) missing valuesMissing
업태구분명 has 2524 (100.0%) missing valuesMissing
좌표정보(X) has 68 (2.7%) missing valuesMissing
좌표정보(Y) has 68 (2.7%) missing valuesMissing
총층수 has 2078 (82.3%) missing valuesMissing
제작취급품목내용 has 2523 (> 99.9%) missing valuesMissing
시설면적 has 1934 (76.6%) missing valuesMissing
지상층수 has 2009 (79.6%) missing valuesMissing
비상계단여부 has 2524 (100.0%) missing valuesMissing
비상구여부 has 2524 (100.0%) missing valuesMissing
자동환기여부 has 2524 (100.0%) missing valuesMissing
청소년실여부 has 2524 (100.0%) missing valuesMissing
특수조명여부 has 2524 (100.0%) missing valuesMissing
방음시설여부 has 2524 (100.0%) missing valuesMissing
비디오재생기명 has 2524 (100.0%) missing valuesMissing
조명시설유무 has 2524 (100.0%) missing valuesMissing
음향시설여부 has 2524 (100.0%) missing valuesMissing
편의시설여부 has 2524 (100.0%) missing valuesMissing
소방시설여부 has 2524 (100.0%) missing valuesMissing
기존게임업외업종명 has 2524 (100.0%) missing valuesMissing
제공게임물명 has 2524 (100.0%) missing valuesMissing
공연장형태구분명 has 2524 (100.0%) missing valuesMissing
품목명 has 2524 (100.0%) missing valuesMissing
최초등록시점 has 2524 (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 283 (11.2%) zerosZeros
시설면적 has 247 (9.8%) zerosZeros
지상층수 has 284 (11.3%) zerosZeros

Reproduction

Analysis started2023-12-10 18:36:42.032498
Analysis finished2023-12-10 18:36:44.205841
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2524
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1262.5
Minimum1
Maximum2524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:44.346275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile127.15
Q1631.75
median1262.5
Q31893.25
95-th percentile2397.85
Maximum2524
Range2523
Interquartile range (IQR)1261.5

Descriptive statistics

Standard deviation728.76036
Coefficient of variation (CV)0.57723593
Kurtosis-1.2
Mean1262.5
Median Absolute Deviation (MAD)631
Skewness0
Sum3186550
Variance531091.67
MonotonicityStrictly increasing
2023-12-11T03:36:44.567951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1688 1
 
< 0.1%
1681 1
 
< 0.1%
1682 1
 
< 0.1%
1683 1
 
< 0.1%
1684 1
 
< 0.1%
1685 1
 
< 0.1%
1686 1
 
< 0.1%
1687 1
 
< 0.1%
1689 1
 
< 0.1%
Other values (2514) 2514
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 (%)
2524 1
< 0.1%
2523 1
< 0.1%
2522 1
< 0.1%
2521 1
< 0.1%
2520 1
< 0.1%
2519 1
< 0.1%
2518 1
< 0.1%
2517 1
< 0.1%
2516 1
< 0.1%
2515 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
출판사
2524 

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 2524
100.0%

Length

2023-12-11T03:36:44.765707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:44.896211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2524
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
04_17_01_P
2524 

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 2524
100.0%

Length

2023-12-11T03:36:45.018743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:45.143918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2524
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440344.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:45.279252image/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 deviation23643.542
Coefficient of variation (CV)0.0068724341
Kurtosis-1.5214834
Mean3440344.7
Median Absolute Deviation (MAD)20000
Skewness-0.069073534
Sum8.68343 × 109
Variance5.5901709 × 108
MonotonicityIncreasing
2023-12-11T03:36:45.455509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 655
26.0%
3460000 558
22.1%
3470000 342
13.5%
3420000 301
11.9%
3450000 265
10.5%
3440000 230
 
9.1%
3430000 89
 
3.5%
3480000 84
 
3.3%
ValueCountFrequency (%)
3410000 655
26.0%
3420000 301
11.9%
3430000 89
 
3.5%
3440000 230
 
9.1%
3450000 265
10.5%
3460000 558
22.1%
3470000 342
13.5%
3480000 84
 
3.3%
ValueCountFrequency (%)
3480000 84
 
3.3%
3470000 342
13.5%
3460000 558
22.1%
3450000 265
10.5%
3440000 230
 
9.1%
3430000 89
 
3.5%
3420000 301
11.9%
3410000 655
26.0%

관리번호
Text

Distinct856
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-11T03:36:45.773959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters50480
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

Unique325 ?
Unique (%)12.9%

Sample

1st rowCDFG1251002002000014
2nd rowCDFG1251002002000022
3rd rowCDFG1251002002000012
4th rowCDFG1251002001000025
5th rowCDFG1251001999000028
ValueCountFrequency (%)
cdfg1251002021000003 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
cdfg1251002022000009 8
 
0.3%
cdfg1251002009000001 8
 
0.3%
cdfg1251002020000001 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
cdfg1251002019000002 8
 
0.3%
cdfg1251002022000006 8
 
0.3%
cdfg1251002021000009 8
 
0.3%
cdfg1251002019000007 8
 
0.3%
Other values (846) 2444
96.8%
2023-12-11T03:36:46.266269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19612
38.9%
1 8035
15.9%
2 6429
 
12.7%
5 3008
 
6.0%
C 2524
 
5.0%
D 2524
 
5.0%
F 2524
 
5.0%
G 2524
 
5.0%
9 891
 
1.8%
3 601
 
1.2%
Other values (4) 1808
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40384
80.0%
Uppercase Letter 10096
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19612
48.6%
1 8035
19.9%
2 6429
 
15.9%
5 3008
 
7.4%
9 891
 
2.2%
3 601
 
1.5%
4 478
 
1.2%
8 454
 
1.1%
6 452
 
1.1%
7 424
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 2524
25.0%
D 2524
25.0%
F 2524
25.0%
G 2524
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40384
80.0%
Latin 10096
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19612
48.6%
1 8035
19.9%
2 6429
 
15.9%
5 3008
 
7.4%
9 891
 
2.2%
3 601
 
1.5%
4 478
 
1.2%
8 454
 
1.1%
6 452
 
1.1%
7 424
 
1.0%
Latin
ValueCountFrequency (%)
C 2524
25.0%
D 2524
25.0%
F 2524
25.0%
G 2524
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19612
38.9%
1 8035
15.9%
2 6429
 
12.7%
5 3008
 
6.0%
C 2524
 
5.0%
D 2524
 
5.0%
F 2524
 
5.0%
G 2524
 
5.0%
9 891
 
1.8%
3 601
 
1.2%
Other values (4) 1808
 
3.6%

인허가일자
Real number (ℝ)

Distinct2018
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113773
Minimum19641012
Maximum20221129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:46.459578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641012
5-th percentile19950106
Q120070327
median20121218
Q320180822
95-th percentile20220124
Maximum20221129
Range580117
Interquartile range (IQR)110495.5

Descriptive statistics

Standard deviation85274.203
Coefficient of variation (CV)0.0042395925
Kurtosis1.792499
Mean20113773
Median Absolute Deviation (MAD)59395
Skewness-1.160276
Sum5.0767164 × 1010
Variance7.2716897 × 109
MonotonicityNot monotonic
2023-12-11T03:36:46.691266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120620 6
 
0.2%
20120221 5
 
0.2%
20101118 5
 
0.2%
20120723 5
 
0.2%
20120626 4
 
0.2%
20190618 4
 
0.2%
20120704 4
 
0.2%
20120425 4
 
0.2%
20120131 4
 
0.2%
20190225 4
 
0.2%
Other values (2008) 2479
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 (%)
20221129 1
< 0.1%
20221128 1
< 0.1%
20221125 1
< 0.1%
20221123 1
< 0.1%
20221121 1
< 0.1%
20221116 1
< 0.1%
20221115 1
< 0.1%
20221114 1
< 0.1%
20221111 2
0.1%
20221109 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing2516
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20143126
Minimum20091103
Maximum20221103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:46.870003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091103
5-th percentile20101261
Q120127833
median20130665
Q320155598
95-th percentile20203293
Maximum20221103
Range130000
Interquartile range (IQR)27764.5

Descriptive statistics

Standard deviation38876.785
Coefficient of variation (CV)0.0019300274
Kurtosis1.8829344
Mean20143126
Median Absolute Deviation (MAD)15299
Skewness1.0878075
Sum1.6114501 × 108
Variance1.5114044 × 109
MonotonicityNot monotonic
2023-12-11T03:36:47.087301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20120127 1
 
< 0.1%
20221103 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) 2516
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%
20221103 1
< 0.1%
ValueCountFrequency (%)
20221103 1
< 0.1%
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 size19.8 KiB
1
1851 
3
571 
4
 
101
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 1851
73.3%
3 571
 
22.6%
4 101
 
4.0%
2 1
 
< 0.1%

Length

2023-12-11T03:36:47.270805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:47.413769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1851
73.3%
3 571
 
22.6%
4 101
 
4.0%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
영업/정상
1851 
폐업
571 
취소/말소/만료/정지/중지
 
101
휴업
 
1

Length

Max length14
Median length5
Mean length4.6802694
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 1851
73.3%
폐업 571
 
22.6%
취소/말소/만료/정지/중지 101
 
4.0%
휴업 1
 
< 0.1%

Length

2023-12-11T03:36:47.592428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:47.756124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1851
73.3%
폐업 571
 
22.6%
취소/말소/만료/정지/중지 101
 
4.0%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.577655
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:47.895295image/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 deviation6.1842428
Coefficient of variation (CV)0.53415334
Kurtosis4.8864535
Mean11.577655
Median Absolute Deviation (MAD)0
Skewness1.3220548
Sum29222
Variance38.244859
MonotonicityNot monotonic
2023-12-11T03:36:48.042556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1850
73.3%
3 570
 
22.6%
35 73
 
2.9%
30 19
 
0.8%
32 8
 
0.3%
2 1
 
< 0.1%
31 1
 
< 0.1%
14 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 570
 
22.6%
13 1850
73.3%
14 1
 
< 0.1%
30 19
 
0.8%
31 1
 
< 0.1%
32 8
 
0.3%
34 1
 
< 0.1%
35 73
 
2.9%
ValueCountFrequency (%)
35 73
 
2.9%
34 1
 
< 0.1%
32 8
 
0.3%
31 1
 
< 0.1%
30 19
 
0.8%
14 1
 
< 0.1%
13 1850
73.3%
3 570
 
22.6%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
영업중
1850 
폐업
570 
직권말소
 
73
허가취소
 
19
신고취소
 
8
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.8141838
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1850
73.3%
폐업 570
 
22.6%
직권말소 73
 
2.9%
허가취소 19
 
0.8%
신고취소 8
 
0.3%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
전입 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

Length

2023-12-11T03:36:48.275874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:48.480927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1850
73.3%
폐업 570
 
22.6%
직권말소 73
 
2.9%
허가취소 19
 
0.8%
신고취소 8
 
0.3%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
전입 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)79.7%
Missing1885
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean20142267
Minimum19981223
Maximum20221128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:48.759622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981223
5-th percentile20049228
Q120100716
median20151216
Q320180579
95-th percentile20211231
Maximum20221128
Range239905
Interquartile range (IQR)79863.5

Descriptive statistics

Standard deviation53485.368
Coefficient of variation (CV)0.0026553798
Kurtosis-0.71141497
Mean20142267
Median Absolute Deviation (MAD)39313
Skewness-0.51959655
Sum1.2870908 × 1010
Variance2.8606846 × 109
MonotonicityNot monotonic
2023-12-11T03:36:49.029658image/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%
20170410 3
 
0.1%
20170203 3
 
0.1%
20181120 3
 
0.1%
20100719 3
 
0.1%
20150128 2
 
0.1%
Other values (499) 544
 
21.6%
(Missing) 1885
74.7%
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 (%)
20221128 1
< 0.1%
20221026 1
< 0.1%
20221019 1
< 0.1%
20221011 1
< 0.1%
20220929 1
< 0.1%
20220920 1
< 0.1%
20220831 2
0.1%
20220812 1
< 0.1%
20220804 1
< 0.1%
20220706 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2523 
20200401
 
1

Length

Max length8
Median length4
Mean length4.0015848
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> 2523
> 99.9%
20200401 1
 
< 0.1%

Length

2023-12-11T03:36:49.278629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:49.763335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2523
> 99.9%
20200401 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2523 
20200930
 
1

Length

Max length8
Median length4
Mean length4.0015848
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> 2523
> 99.9%
20200930 1
 
< 0.1%

Length

2023-12-11T03:36:49.953090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:50.139225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2523
> 99.9%
20200930 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

소재지전화
Text

MISSING 

Distinct1364
Distinct (%)96.0%
Missing1103
Missing (%)43.7%
Memory size19.8 KiB
2023-12-11T03:36:50.503745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.499648
Min length1

Characters and Unicode

Total characters14920
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

Unique1326 ?
Unique (%)93.3%

Sample

1st row257-5669
2nd row256-4028
3rd row256-3355
4th row426-1300
5th row428-6885
ValueCountFrequency (%)
000-0000 14
 
1.0%
952-5252 4
 
0.3%
0 4
 
0.3%
053-246-9344 3
 
0.2%
053-794-7022 3
 
0.2%
053-961-6126 3
 
0.2%
000 2
 
0.1%
053-754-1277 2
 
0.1%
742-8033 2
 
0.1%
053-257-2004 2
 
0.1%
Other values (1353) 1382
97.3%
2023-12-11T03:36:51.242831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2139
14.3%
5 2118
14.2%
0 2039
13.7%
3 1667
11.2%
2 1437
9.6%
7 1063
7.1%
4 1057
7.1%
6 999
6.7%
1 884
5.9%
8 743
 
5.0%
Other values (5) 774
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12726
85.3%
Dash Punctuation 2139
 
14.3%
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 2118
16.6%
0 2039
16.0%
3 1667
13.1%
2 1437
11.3%
7 1063
8.4%
4 1057
8.3%
6 999
7.9%
1 884
6.9%
8 743
 
5.8%
9 719
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 2139
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 14920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2139
14.3%
5 2118
14.2%
0 2039
13.7%
3 1667
11.2%
2 1437
9.6%
7 1063
7.1%
4 1057
7.1%
6 999
6.7%
1 884
5.9%
8 743
 
5.0%
Other values (5) 774
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2139
14.3%
5 2118
14.2%
0 2039
13.7%
3 1667
11.2%
2 1437
9.6%
7 1063
7.1%
4 1057
7.1%
6 999
6.7%
1 884
5.9%
8 743
 
5.0%
Other values (5) 774
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct508
Distinct (%)38.6%
Missing1208
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean703551.32
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:51.515548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700395
Q1700821
median702861
Q3705833
95-th percentile706850
Maximum711891
Range11881
Interquartile range (IQR)5012

Descriptive statistics

Standard deviation2738.1588
Coefficient of variation (CV)0.0038919105
Kurtosis-0.44252231
Mean703551.32
Median Absolute Deviation (MAD)2170
Skewness0.4845426
Sum9.2587354 × 108
Variance7497513.6
MonotonicityNot monotonic
2023-12-11T03:36:51.774695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700440 92
 
3.6%
700823 36
 
1.4%
700803 29
 
1.1%
700831 24
 
1.0%
700802 14
 
0.6%
700413 14
 
0.6%
700813 12
 
0.5%
706822 11
 
0.4%
700821 11
 
0.4%
700809 9
 
0.4%
Other values (498) 1064
42.2%
(Missing) 1208
47.9%
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

Distinct1395
Distinct (%)55.5%
Missing11
Missing (%)0.4%
Memory size19.8 KiB
2023-12-11T03:36:52.372971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.145245
Min length13

Characters and Unicode

Total characters63190
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

Unique1081 ?
Unique (%)43.0%

Sample

1st row대구광역시 중구 남산동 ***-*번지
2nd row대구광역시 중구 동인동*가 **-*번지
3rd row대구광역시 중구 동인동*가 ***-*번지
4th row대구광역시 중구 남산동 ***-**번지
5th row대구광역시 중구 남산동 ***-*번지
ValueCountFrequency (%)
대구광역시 2513
21.0%
번지 1883
15.7%
중구 655
 
5.5%
617
 
5.2%
수성구 556
 
4.6%
호 443
 
3.7%
달서구 341
 
2.8%
동구 301
 
2.5%
남산동 281
 
2.3%
동 266
 
2.2%
Other values (869) 4117
34.4%
2023-12-11T03:36:53.394368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13270
21.0%
11561
18.3%
구 5031
 
8.0%
동 3146
 
5.0%
대 2925
 
4.6%
시 2569
 
4.1%
역 2529
 
4.0%
광 2521
 
4.0%
지 2069
 
3.3%
- 1946
 
3.1%
Other values (371) 15623
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36204
57.3%
Other Punctuation 13288
 
21.0%
Space Separator 11561
 
18.3%
Dash Punctuation 1946
 
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 5031
13.9%
동 3146
 
8.7%
대 2925
 
8.1%
시 2569
 
7.1%
역 2529
 
7.0%
광 2521
 
7.0%
지 2069
 
5.7%
번 1883
 
5.2%
성 941
 
2.6%
중 707
 
2.0%
Other values (335) 11883
32.8%
Uppercase Letter
ValueCountFrequency (%)
A 13
13.0%
B 12
12.0%
I 9
9.0%
C 8
 
8.0%
S 8
 
8.0%
W 6
 
6.0%
K 6
 
6.0%
E 6
 
6.0%
L 5
 
5.0%
T 5
 
5.0%
Other values (10) 22
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
66.7%
a 2
 
11.1%
c 1
 
5.6%
p 1
 
5.6%
r 1
 
5.6%
k 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 13270
99.9%
, 10
 
0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
11561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1946
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 36204
57.3%
Common 26868
42.5%
Latin 118
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5031
13.9%
동 3146
 
8.7%
대 2925
 
8.1%
시 2569
 
7.1%
역 2529
 
7.0%
광 2521
 
7.0%
지 2069
 
5.7%
번 1883
 
5.2%
성 941
 
2.6%
중 707
 
2.0%
Other values (335) 11883
32.8%
Latin
ValueCountFrequency (%)
A 13
 
11.0%
e 12
 
10.2%
B 12
 
10.2%
I 9
 
7.6%
C 8
 
6.8%
S 8
 
6.8%
W 6
 
5.1%
K 6
 
5.1%
E 6
 
5.1%
L 5
 
4.2%
Other values (16) 33
28.0%
Common
ValueCountFrequency (%)
* 13270
49.4%
11561
43.0%
- 1946
 
7.2%
( 36
 
0.1%
) 36
 
0.1%
, 10
 
< 0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
~ 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36204
57.3%
ASCII 26986
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13270
49.2%
11561
42.8%
- 1946
 
7.2%
( 36
 
0.1%
) 36
 
0.1%
A 13
 
< 0.1%
e 12
 
< 0.1%
B 12
 
< 0.1%
, 10
 
< 0.1%
I 9
 
< 0.1%
Other values (26) 81
 
0.3%
Hangul
ValueCountFrequency (%)
구 5031
13.9%
동 3146
 
8.7%
대 2925
 
8.1%
시 2569
 
7.1%
역 2529
 
7.0%
광 2521
 
7.0%
지 2069
 
5.7%
번 1883
 
5.2%
성 941
 
2.6%
중 707
 
2.0%
Other values (335) 11883
32.8%

도로명전체주소
Text

MISSING 

Distinct1933
Distinct (%)77.9%
Missing44
Missing (%)1.7%
Memory size19.8 KiB
2023-12-11T03:36:53.989475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length31.129032
Min length19

Characters and Unicode

Total characters77200
Distinct characters423
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

Unique1650 ?
Unique (%)66.5%

Sample

1st row대구광역시 중구 중앙대로**길 ** (남산동)
2nd row대구광역시 중구 공평로 ** (동인동*가)
3rd row대구광역시 중구 국채보상로***길 **-* (동인동*가)
4th row대구광역시 중구 명륜로**길 ** (남산동)
5th row대구광역시 중구 중앙대로**길 ** (남산동)
ValueCountFrequency (%)
2491
 
16.5%
대구광역시 2480
 
16.4%
호 837
 
5.5%
중구 634
 
4.2%
수성구 557
 
3.7%
동 483
 
3.2%
층 415
 
2.7%
달서구 341
 
2.3%
동구 300
 
2.0%
남산동 272
 
1.8%
Other values (1448) 6318
41.8%
2023-12-11T03:36:54.961511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13567
17.6%
12906
16.7%
구 5248
 
6.8%
동 3651
 
4.7%
대 3397
 
4.4%
시 2556
 
3.3%
역 2513
 
3.3%
광 2489
 
3.2%
( 2454
 
3.2%
) 2454
 
3.2%
Other values (413) 25965
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43231
56.0%
Other Punctuation 15460
 
20.0%
Space Separator 12906
 
16.7%
Open Punctuation 2454
 
3.2%
Close Punctuation 2454
 
3.2%
Dash Punctuation 552
 
0.7%
Uppercase Letter 118
 
0.2%
Lowercase Letter 22
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5248
 
12.1%
동 3651
 
8.4%
대 3397
 
7.9%
시 2556
 
5.9%
역 2513
 
5.8%
광 2489
 
5.8%
로 2370
 
5.5%
길 1186
 
2.7%
성 1117
 
2.6%
호 970
 
2.2%
Other values (375) 17734
41.0%
Uppercase Letter
ValueCountFrequency (%)
B 16
13.6%
A 13
11.0%
I 12
10.2%
C 11
9.3%
S 9
 
7.6%
T 9
 
7.6%
E 6
 
5.1%
D 5
 
4.2%
W 5
 
4.2%
K 5
 
4.2%
Other values (11) 27
22.9%
Other Punctuation
ValueCountFrequency (%)
* 13567
87.8%
, 1883
 
12.2%
· 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%
c 1
 
4.5%
p 1
 
4.5%
Space Separator
ValueCountFrequency (%)
12906
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2454
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 552
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43231
56.0%
Common 33829
43.8%
Latin 140
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5248
 
12.1%
동 3651
 
8.4%
대 3397
 
7.9%
시 2556
 
5.9%
역 2513
 
5.8%
광 2489
 
5.8%
로 2370
 
5.5%
길 1186
 
2.7%
성 1117
 
2.6%
호 970
 
2.2%
Other values (375) 17734
41.0%
Latin
ValueCountFrequency (%)
B 16
 
11.4%
A 13
 
9.3%
e 13
 
9.3%
I 12
 
8.6%
C 11
 
7.9%
S 9
 
6.4%
T 9
 
6.4%
E 6
 
4.3%
D 5
 
3.6%
W 5
 
3.6%
Other values (17) 41
29.3%
Common
ValueCountFrequency (%)
* 13567
40.1%
12906
38.2%
( 2454
 
7.3%
) 2454
 
7.3%
, 1883
 
5.6%
- 552
 
1.6%
· 4
 
< 0.1%
/ 3
 
< 0.1%
~ 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43231
56.0%
ASCII 33965
44.0%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13567
39.9%
12906
38.0%
( 2454
 
7.2%
) 2454
 
7.2%
, 1883
 
5.5%
- 552
 
1.6%
B 16
 
< 0.1%
A 13
 
< 0.1%
e 13
 
< 0.1%
I 12
 
< 0.1%
Other values (27) 95
 
0.3%
Hangul
ValueCountFrequency (%)
구 5248
 
12.1%
동 3651
 
8.4%
대 3397
 
7.9%
시 2556
 
5.9%
역 2513
 
5.8%
광 2489
 
5.8%
로 2370
 
5.5%
길 1186
 
2.7%
성 1117
 
2.6%
호 970
 
2.2%
Other values (375) 17734
41.0%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1049
Distinct (%)49.6%
Missing410
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean327516.95
Minimum41001
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:55.224346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41195.65
Q141965
median42719.5
Q3701783.75
95-th percentile706801.7
Maximum711891
Range670890
Interquartile range (IQR)659818.75

Descriptive statistics

Standard deviation327518.68
Coefficient of variation (CV)1.0000053
Kurtosis-1.9259033
Mean327516.95
Median Absolute Deviation (MAD)1463.5
Skewness0.27531101
Sum6.9237083 × 108
Variance1.0726849 × 1011
MonotonicityNot monotonic
2023-12-11T03:36:55.462742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700831 57
 
2.3%
700823 36
 
1.4%
700802 28
 
1.1%
41965 21
 
0.8%
42699 20
 
0.8%
700832 14
 
0.6%
41966 14
 
0.6%
41958 13
 
0.5%
700835 12
 
0.5%
41919 12
 
0.5%
Other values (1039) 1887
74.8%
(Missing) 410
 
16.2%
ValueCountFrequency (%)
41001 2
 
0.1%
41002 1
 
< 0.1%
41005 5
0.2%
41007 1
 
< 0.1%
41009 1
 
< 0.1%
41015 1
 
< 0.1%
41022 3
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

Distinct2444
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-11T03:36:56.034755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.701664
Min length1

Characters and Unicode

Total characters16915
Distinct characters767
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

Unique2369 ?
Unique (%)93.9%

Sample

1st row애니타임
2nd row옛터서적
3rd row동국불교출판사
4th row금강애드컴
5th row조은출판사
ValueCountFrequency (%)
도서출판 231
 
6.8%
주식회사 109
 
3.2%
출판사 48
 
1.4%
디자인 23
 
0.7%
출판 12
 
0.4%
사단법인 11
 
0.3%
커뮤니케이션 7
 
0.2%
press 7
 
0.2%
주 7
 
0.2%
books 6
 
0.2%
Other values (2708) 2944
86.5%
2023-12-11T03:36:56.974870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
881
 
5.2%
사 610
 
3.6%
판 601
 
3.6%
출 600
 
3.5%
서 361
 
2.1%
주 346
 
2.0%
도 338
 
2.0%
) 321
 
1.9%
( 318
 
1.9%
인 317
 
1.9%
Other values (757) 12222
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13771
81.4%
Space Separator 881
 
5.2%
Lowercase Letter 776
 
4.6%
Uppercase Letter 708
 
4.2%
Close Punctuation 321
 
1.9%
Open Punctuation 318
 
1.9%
Decimal Number 69
 
0.4%
Other Punctuation 60
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 610
 
4.4%
판 601
 
4.4%
출 600
 
4.4%
서 361
 
2.6%
주 346
 
2.5%
도 338
 
2.5%
인 317
 
2.3%
이 314
 
2.3%
스 295
 
2.1%
디 196
 
1.4%
Other values (683) 9793
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 59
 
8.3%
O 53
 
7.5%
A 48
 
6.8%
M 46
 
6.5%
E 42
 
5.9%
C 40
 
5.6%
I 38
 
5.4%
T 37
 
5.2%
P 36
 
5.1%
B 35
 
4.9%
Other values (15) 274
38.7%
Lowercase Letter
ValueCountFrequency (%)
o 88
11.3%
e 80
 
10.3%
n 62
 
8.0%
s 61
 
7.9%
i 61
 
7.9%
a 61
 
7.9%
r 48
 
6.2%
l 43
 
5.5%
t 43
 
5.5%
u 29
 
3.7%
Other values (13) 200
25.8%
Decimal Number
ValueCountFrequency (%)
1 17
24.6%
2 12
17.4%
3 10
14.5%
5 9
13.0%
0 8
11.6%
9 6
 
8.7%
4 2
 
2.9%
8 2
 
2.9%
7 2
 
2.9%
6 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 31
51.7%
& 16
26.7%
, 4
 
6.7%
' 3
 
5.0%
" 2
 
3.3%
% 2
 
3.3%
/ 1
 
1.7%
· 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
< 1
33.3%
> 1
33.3%
Space Separator
ValueCountFrequency (%)
881
100.0%
Close Punctuation
ValueCountFrequency (%)
) 321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13740
81.2%
Common 1660
 
9.8%
Latin 1484
 
8.8%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 610
 
4.4%
판 601
 
4.4%
출 600
 
4.4%
서 361
 
2.6%
주 346
 
2.5%
도 338
 
2.5%
인 317
 
2.3%
이 314
 
2.3%
스 295
 
2.1%
디 196
 
1.4%
Other values (658) 9762
71.0%
Latin
ValueCountFrequency (%)
o 88
 
5.9%
e 80
 
5.4%
n 62
 
4.2%
s 61
 
4.1%
i 61
 
4.1%
a 61
 
4.1%
S 59
 
4.0%
O 53
 
3.6%
A 48
 
3.2%
r 48
 
3.2%
Other values (38) 863
58.2%
Common
ValueCountFrequency (%)
881
53.1%
) 321
 
19.3%
( 318
 
19.2%
. 31
 
1.9%
1 17
 
1.0%
& 16
 
1.0%
2 12
 
0.7%
3 10
 
0.6%
5 9
 
0.5%
0 8
 
0.5%
Other values (16) 37
 
2.2%
Han
ValueCountFrequency (%)
文 3
 
9.7%
自 2
 
6.5%
靑 2
 
6.5%
堂 2
 
6.5%
印 2
 
6.5%
硯 1
 
3.2%
正 1
 
3.2%
斯 1
 
3.2%
江 1
 
3.2%
長 1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13737
81.2%
ASCII 3143
 
18.6%
CJK 30
 
0.2%
Compat Jamo 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
881
28.0%
) 321
 
10.2%
( 318
 
10.1%
o 88
 
2.8%
e 80
 
2.5%
n 62
 
2.0%
s 61
 
1.9%
i 61
 
1.9%
a 61
 
1.9%
S 59
 
1.9%
Other values (63) 1151
36.6%
Hangul
ValueCountFrequency (%)
사 610
 
4.4%
판 601
 
4.4%
출 600
 
4.4%
서 361
 
2.6%
주 346
 
2.5%
도 338
 
2.5%
인 317
 
2.3%
이 314
 
2.3%
스 295
 
2.1%
디 196
 
1.4%
Other values (655) 9759
71.0%
CJK
ValueCountFrequency (%)
文 3
 
10.0%
自 2
 
6.7%
靑 2
 
6.7%
堂 2
 
6.7%
印 2
 
6.7%
硯 1
 
3.3%
正 1
 
3.3%
斯 1
 
3.3%
江 1
 
3.3%
長 1
 
3.3%
Other values (14) 14
46.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
33.3%
ㄱ 1
33.3%
ㅇ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2524
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0159233 × 1013
Minimum2.0021209 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:57.289445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021209 × 1013
5-th percentile2.0070202 × 1013
Q12.013041 × 1013
median2.017011 × 1013
Q32.0200513 × 1013
95-th percentile2.022062 × 1013
Maximum2.022113 × 1013
Range1.9992096 × 1011
Interquartile range (IQR)7.0102478 × 1010

Descriptive statistics

Standard deviation4.6778204 × 1010
Coefficient of variation (CV)0.0023204357
Kurtosis-0.15145043
Mean2.0159233 × 1013
Median Absolute Deviation (MAD)3.8990013 × 1010
Skewness-0.6371029
Sum5.0881904 × 1016
Variance2.1882004 × 1021
MonotonicityNot monotonic
2023-12-11T03:36:57.564824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113130357 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 (2514) 2514
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 (%)
20221130102950 1
< 0.1%
20221129173133 1
< 0.1%
20221128165033 1
< 0.1%
20221128153115 1
< 0.1%
20221125094559 1
< 0.1%
20221123102547 1
< 0.1%
20221121163320 1
< 0.1%
20221121153358 1
< 0.1%
20221116164122 1
< 0.1%
20221115154958 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
I
2126 
U
398 

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 2126
84.2%
U 398
 
15.8%

Length

2023-12-11T03:36:57.827171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:58.013273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2126
84.2%
u 398
 
15.8%

데이터갱신일자
Date

Distinct730
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 00:40:06
2023-12-11T03:36:58.278667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:36:58.606612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1959
Distinct (%)79.8%
Missing68
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean344094.5
Minimum327220.13
Maximum358275.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:58.945507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327220.13
5-th percentile335951.22
Q1342116.19
median344096.75
Q3346673.39
95-th percentile353433.95
Maximum358275.31
Range31055.177
Interquartile range (IQR)4557.1963

Descriptive statistics

Standard deviation4667.7545
Coefficient of variation (CV)0.013565327
Kurtosis1.1735862
Mean344094.5
Median Absolute Deviation (MAD)2461.0451
Skewness-0.12351686
Sum8.450961 × 108
Variance21787932
MonotonicityNot monotonic
2023-12-11T03:36:59.202728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844134809 16
 
0.6%
345299.742438478 10
 
0.4%
337648.965009121 8
 
0.3%
346942.691096638 7
 
0.3%
338899.41279497 6
 
0.2%
344686.25933796 6
 
0.2%
343232.770826323 6
 
0.2%
343201.760779929 6
 
0.2%
341316.891342365 5
 
0.2%
333231.030913403 5
 
0.2%
Other values (1949) 2381
94.3%
(Missing) 68
 
2.7%
ValueCountFrequency (%)
327220.130902183 1
< 0.1%
327735.044523737 1
< 0.1%
327853.173808645 1
< 0.1%
328096.87628034 1
< 0.1%
328822.571709171 1
< 0.1%
329247.390016457 1
< 0.1%
329282.731288444 1
< 0.1%
329807.357341146 1
< 0.1%
329865.142852919 1
< 0.1%
330130.823289004 1
< 0.1%
ValueCountFrequency (%)
358275.307432689 1
 
< 0.1%
358213.056494159 1
 
< 0.1%
357975.880928076 1
 
< 0.1%
357888.724162031 3
0.1%
357835.663302828 1
 
< 0.1%
357672.591920251 1
 
< 0.1%
356881.723507738 1
 
< 0.1%
356698.367083593 1
 
< 0.1%
356563.295271177 1
 
< 0.1%
356548.114071857 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1959
Distinct (%)79.8%
Missing68
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263286.81
Minimum239218.02
Maximum277949.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:36:59.493020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258495.21
Q1261694.96
median263479.39
Q3264666.03
95-th percentile269591.31
Maximum277949.2
Range38731.182
Interquartile range (IQR)2971.0652

Descriptive statistics

Standard deviation3653.0459
Coefficient of variation (CV)0.013874777
Kurtosis8.372704
Mean263286.81
Median Absolute Deviation (MAD)1356.0252
Skewness-1.0601529
Sum6.4663241 × 108
Variance13344744
MonotonicityNot monotonic
2023-12-11T03:36:59.780244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.90217311 16
 
0.6%
266806.443246079 10
 
0.4%
261472.280465309 8
 
0.3%
263989.847736771 7
 
0.3%
257234.537084558 6
 
0.2%
263958.880864104 6
 
0.2%
264151.658395369 6
 
0.2%
263954.780466089 6
 
0.2%
263332.034502933 5
 
0.2%
262182.395988806 5
 
0.2%
Other values (1949) 2381
94.3%
(Missing) 68
 
2.7%
ValueCountFrequency (%)
239218.020982809 1
< 0.1%
240358.722944009 1
< 0.1%
241089.878751321 1
< 0.1%
244377.337529059 1
< 0.1%
244381.844596492 1
< 0.1%
244467.090015024 1
< 0.1%
244588.625975144 1
< 0.1%
244623.565628627 1
< 0.1%
244630.069541019 1
< 0.1%
244716.032591895 1
< 0.1%
ValueCountFrequency (%)
277949.20287308 1
< 0.1%
277837.416974049 1
< 0.1%
277799.708684077 1
< 0.1%
277700.900956561 1
< 0.1%
277397.284319935 1
< 0.1%
276507.553135584 1
< 0.1%
275303.582391456 1
< 0.1%
274473.154015239 1
< 0.1%
274156.338863801 1
< 0.1%
273810.780783503 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
출판사
2524 

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 2524
100.0%

Length

2023-12-11T03:37:00.051709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:00.210560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2524
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
출판인쇄업
2524 

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 2524
100.0%

Length

2023-12-11T03:37:00.387696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:00.547849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2524
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.1%
Missing2078
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean1.5852018
Minimum0
Maximum21
Zeros283
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:37:00.697953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8976016
Coefficient of variation (CV)1.8279071
Kurtosis13.45104
Mean1.5852018
Median Absolute Deviation (MAD)0
Skewness3.0459525
Sum707
Variance8.3960951
MonotonicityNot monotonic
2023-12-11T03:37:00.921179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 283
 
11.2%
4 31
 
1.2%
5 26
 
1.0%
3 26
 
1.0%
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) 2078
82.3%
ValueCountFrequency (%)
0 283
11.2%
1 21
 
0.8%
2 25
 
1.0%
3 26
 
1.0%
4 31
 
1.2%
5 26
 
1.0%
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
1.0%
4 31
1.2%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2462 
기타
 
30
아파트지역
 
14
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9948494
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> 2462
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

2023-12-11T03:37:01.149332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:01.381844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2462
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%
Missing2523
Missing (%)> 99.9%
Memory size19.8 KiB
2023-12-11T03:37:01.611508image/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%
2023-12-11T03:37:02.114954image/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 

Distinct303
Distinct (%)51.4%
Missing1934
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean98.043678
Minimum0
Maximum5188.8
Zeros247
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:37:02.418548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median36.925
Q3108.865
95-th percentile370.657
Maximum5188.8
Range5188.8
Interquartile range (IQR)108.865

Descriptive statistics

Standard deviation263.85915
Coefficient of variation (CV)2.6912408
Kurtosis239.07437
Mean98.043678
Median Absolute Deviation (MAD)36.925
Skewness13.169034
Sum57845.77
Variance69621.651
MonotonicityNot monotonic
2023-12-11T03:37:02.670351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 247
 
9.8%
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%
84.94 2
 
0.1%
127.06 2
 
0.1%
84.93 2
 
0.1%
Other values (293) 315
 
12.5%
(Missing) 1934
76.6%
ValueCountFrequency (%)
0.0 247
9.8%
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 (%)3.5%
Missing2009
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean1.761165
Minimum0
Maximum24
Zeros284
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-11T03:37:03.285351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0011746
Coefficient of variation (CV)1.7040848
Kurtosis15.021072
Mean1.761165
Median Absolute Deviation (MAD)0
Skewness3.2533256
Sum907
Variance9.0070492
MonotonicityNot monotonic
2023-12-11T03:37:03.494426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 284
 
11.3%
2 50
 
2.0%
3 46
 
1.8%
4 43
 
1.7%
1 34
 
1.3%
5 26
 
1.0%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
15 3
 
0.1%
Other values (8) 12
 
0.5%
(Missing) 2009
79.6%
ValueCountFrequency (%)
0 284
11.3%
1 34
 
1.3%
2 50
 
2.0%
3 46
 
1.8%
4 43
 
1.7%
5 26
 
1.0%
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 size19.8 KiB
<NA>
2170 
0
289 
1
 
60
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.5792393
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> 2170
86.0%
0 289
 
11.5%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2023-12-11T03:37:03.794597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:03.981766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2170
86.0%
0 289
 
11.5%
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 size19.8 KiB
<NA>
2176 
근린생활시설
236 
아파트
 
41
사무실
 
25
단독주택
 
23
Other values (8)
 
23

Length

Max length15
Median length4
Mean length4.1977021
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> 2176
86.2%
근린생활시설 236
 
9.4%
아파트 41
 
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

2023-12-11T03:37:04.193482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2176
86.0%
근린생활시설 236
 
9.3%
아파트 41
 
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

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2236 
0
288 

Length

Max length4
Median length4
Mean length3.6576862
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> 2236
88.6%
0 288
 
11.4%

Length

2023-12-11T03:37:04.408108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:04.590173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2236
88.6%
0 288
 
11.4%

조명시설조도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2236 
0
288 

Length

Max length4
Median length4
Mean length3.6576862
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> 2236
88.6%
0 288
 
11.4%

Length

2023-12-11T03:37:04.906451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:05.258677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2236
88.6%
0 288
 
11.4%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2236 
0
288 

Length

Max length4
Median length4
Mean length3.6576862
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> 2236
88.6%
0 288
 
11.4%

Length

2023-12-11T03:37:05.481737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:05.676883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2236
88.6%
0 288
 
11.4%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2236 
0
288 

Length

Max length4
Median length4
Mean length3.6576862
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> 2236
88.6%
0 288
 
11.4%

Length

2023-12-11T03:37:05.882778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:06.051017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2236
88.6%
0 288
 
11.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2236 
0
288 

Length

Max length4
Median length4
Mean length3.6576862
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> 2236
88.6%
0 288
 
11.4%

Length

2023-12-11T03:37:06.235272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:37:06.409600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2236
88.6%
0 288
 
11.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2524
Missing (%)100.0%
Memory size22.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
<NA>
2297 
일반주거지역
 
106
주거지역
 
34
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
41

Length

Max length6
Median length4
Mean length4.1434231
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> 2297
91.0%
일반주거지역 106
 
4.2%
주거지역 34
 
1.3%
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

2023-12-11T03:37:06.622564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2297
91.0%
일반주거지역 106
 
4.2%
주거지역 34
 
1.3%
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_P3410000CDFG125100200200001420020812<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>257-5669<NA>700803대구광역시 중구 남산동 ***-*번지대구광역시 중구 중앙대로**길 ** (남산동)<NA>애니타임20050113130357I2018-08-31 23:59:59.0<NA>343911.926999263592.052294출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100200200002220021128<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>700421대구광역시 중구 동인동*가 **-*번지대구광역시 중구 공평로 ** (동인동*가)<NA>옛터서적20050113130512I2018-08-31 23:59:59.0<NA>344532.974388264743.137356출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100200200001220020513<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>256-4028<NA>700423대구광역시 중구 동인동*가 ***-*번지대구광역시 중구 국채보상로***길 **-* (동인동*가)<NA>동국불교출판사20050113130744I2018-08-31 23:59:59.0<NA>345413.954717264709.115226출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100200100002520011102<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>256-3355<NA>700440대구광역시 중구 남산동 ***-**번지대구광역시 중구 명륜로**길 ** (남산동)<NA>금강애드컴20050113130802I2018-08-31 23:59:59.0<NA>343466.527968263663.193028출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100199900002819990821<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>426-1300<NA>700803대구광역시 중구 남산동 ***-*번지대구광역시 중구 중앙대로**길 ** (남산동)<NA>조은출판사20050113130249I2018-08-31 23:59:59.0<NA>343911.926999263592.052294출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100200000003220001212<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>428-6885<NA>700803대구광역시 중구 남산동 ***-***번지대구광역시 중구 중앙대로**길 ** (남산동)<NA>도서출판생각그리기20050113130423I2018-08-31 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>
67출판사04_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>
78출판사04_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>
89출판사04_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>
910출판사04_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>343345.728614263841.555181출판사출판인쇄업<NA><NA><NA><NA><NA><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
25142515출판사04_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>331535.400954245096.768991출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
25152516출판사04_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>
25162517출판사04_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><NA><NA>출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
25172518출판사04_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>
25182519출판사04_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><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>
25192520출판사04_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>332428.772391244812.134497출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
25202521출판사04_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>
25212522출판사04_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>334460.797624264332.254201출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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