Overview

Dataset statistics

Number of variables59
Number of observations2510
Missing cells63456
Missing cells (%)42.8%
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

Description22년10월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096912&dataSetDetailId=DDI_0000096909&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 (73.8%)Imbalance
건물용도명 is highly imbalanced (78.0%)Imbalance
통로너비 is highly imbalanced (50.5%)Imbalance
조명시설조도 is highly imbalanced (50.5%)Imbalance
노래방실수 is highly imbalanced (50.5%)Imbalance
청소년실수 is highly imbalanced (50.5%)Imbalance
총게임기수 is highly imbalanced (50.5%)Imbalance
지역구분명 is highly imbalanced (82.9%)Imbalance
인허가취소일자 has 2503 (99.7%) missing valuesMissing
폐업일자 has 1872 (74.6%) missing valuesMissing
재개업일자 has 2510 (100.0%) missing valuesMissing
소재지전화 has 1093 (43.5%) missing valuesMissing
소재지면적 has 2510 (100.0%) missing valuesMissing
소재지우편번호 has 1193 (47.5%) missing valuesMissing
도로명전체주소 has 44 (1.8%) missing valuesMissing
도로명우편번호 has 410 (16.3%) missing valuesMissing
업태구분명 has 2510 (100.0%) missing valuesMissing
좌표정보(X) has 52 (2.1%) missing valuesMissing
좌표정보(Y) has 52 (2.1%) missing valuesMissing
총층수 has 2080 (82.9%) missing valuesMissing
제작취급품목내용 has 2509 (> 99.9%) missing valuesMissing
시설면적 has 1936 (77.1%) missing valuesMissing
지상층수 has 2011 (80.1%) missing valuesMissing
비상계단여부 has 2510 (100.0%) missing valuesMissing
비상구여부 has 2510 (100.0%) missing valuesMissing
자동환기여부 has 2510 (100.0%) missing valuesMissing
청소년실여부 has 2510 (100.0%) missing valuesMissing
특수조명여부 has 2510 (100.0%) missing valuesMissing
방음시설여부 has 2510 (100.0%) missing valuesMissing
비디오재생기명 has 2510 (100.0%) missing valuesMissing
조명시설유무 has 2510 (100.0%) missing valuesMissing
음향시설여부 has 2510 (100.0%) missing valuesMissing
편의시설여부 has 2510 (100.0%) missing valuesMissing
소방시설여부 has 2510 (100.0%) missing valuesMissing
기존게임업외업종명 has 2510 (100.0%) missing valuesMissing
제공게임물명 has 2510 (100.0%) missing valuesMissing
공연장형태구분명 has 2510 (100.0%) missing valuesMissing
품목명 has 2510 (100.0%) missing valuesMissing
최초등록시점 has 2510 (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 267 (10.6%) zerosZeros
시설면적 has 232 (9.2%) zerosZeros
지상층수 has 268 (10.7%) zerosZeros

Reproduction

Analysis started2023-12-10 19:24:51.673732
Analysis finished2023-12-10 19:24:53.886735
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1255.5
Minimum1
Maximum2510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:24:54.009212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile126.45
Q1628.25
median1255.5
Q31882.75
95-th percentile2384.55
Maximum2510
Range2509
Interquartile range (IQR)1254.5

Descriptive statistics

Standard deviation724.71891
Coefficient of variation (CV)0.57723529
Kurtosis-1.2
Mean1255.5
Median Absolute Deviation (MAD)627.5
Skewness0
Sum3151305
Variance525217.5
MonotonicityStrictly increasing
2023-12-11T04:24:54.510880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1678 1
 
< 0.1%
1671 1
 
< 0.1%
1672 1
 
< 0.1%
1673 1
 
< 0.1%
1674 1
 
< 0.1%
1675 1
 
< 0.1%
1676 1
 
< 0.1%
1677 1
 
< 0.1%
1679 1
 
< 0.1%
Other values (2500) 2500
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 (%)
2510 1
< 0.1%
2509 1
< 0.1%
2508 1
< 0.1%
2507 1
< 0.1%
2506 1
< 0.1%
2505 1
< 0.1%
2504 1
< 0.1%
2503 1
< 0.1%
2502 1
< 0.1%
2501 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
출판사
2510 

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 2510
100.0%

Length

2023-12-11T04:24:54.712620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:24:54.855475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2510
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
04_17_01_P
2510 

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 2510
100.0%

Length

2023-12-11T04:24:55.009262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:24:55.168796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2510
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440302.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:24:55.297705image/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 deviation23635.078
Coefficient of variation (CV)0.0068700576
Kurtosis-1.5205772
Mean3440302.8
Median Absolute Deviation (MAD)20000
Skewness-0.066079179
Sum8.63516 × 109
Variance5.5861693 × 108
MonotonicityIncreasing
2023-12-11T04:24:55.464296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 652
26.0%
3460000 555
22.1%
3470000 337
13.4%
3420000 300
12.0%
3450000 264
10.5%
3440000 229
 
9.1%
3430000 89
 
3.5%
3480000 84
 
3.3%
ValueCountFrequency (%)
3410000 652
26.0%
3420000 300
12.0%
3430000 89
 
3.5%
3440000 229
 
9.1%
3450000 264
10.5%
3460000 555
22.1%
3470000 337
13.4%
3480000 84
 
3.3%
ValueCountFrequency (%)
3480000 84
 
3.3%
3470000 337
13.4%
3460000 555
22.1%
3450000 264
10.5%
3440000 229
 
9.1%
3430000 89
 
3.5%
3420000 300
12.0%
3410000 652
26.0%

관리번호
Text

Distinct853
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
2023-12-11T04:24:55.750721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters50200
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 rowCDFG1251002002000012
2nd rowCDFG1251002001000025
3rd rowCDFG1251001999000028
4th rowCDFG1251002000000032
5th rowCDFG1251002000000028
ValueCountFrequency (%)
cdfg1251002009000001 8
 
0.3%
cdfg1251002016000003 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
cdfg1251002019000007 8
 
0.3%
cdfg1251002019000002 8
 
0.3%
cdfg1251002021000005 8
 
0.3%
cdfg1251002021000009 8
 
0.3%
cdfg1251002021000003 8
 
0.3%
cdfg1251002022000008 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
Other values (843) 2430
96.8%
2023-12-11T04:24:56.239419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19512
38.9%
1 8005
15.9%
2 6365
 
12.7%
5 2992
 
6.0%
C 2510
 
5.0%
D 2510
 
5.0%
F 2510
 
5.0%
G 2510
 
5.0%
9 889
 
1.8%
3 595
 
1.2%
Other values (4) 1802
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40160
80.0%
Uppercase Letter 10040
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19512
48.6%
1 8005
19.9%
2 6365
 
15.8%
5 2992
 
7.5%
9 889
 
2.2%
3 595
 
1.5%
4 478
 
1.2%
8 452
 
1.1%
6 450
 
1.1%
7 422
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 2510
25.0%
D 2510
25.0%
F 2510
25.0%
G 2510
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40160
80.0%
Latin 10040
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19512
48.6%
1 8005
19.9%
2 6365
 
15.8%
5 2992
 
7.5%
9 889
 
2.2%
3 595
 
1.5%
4 478
 
1.2%
8 452
 
1.1%
6 450
 
1.1%
7 422
 
1.1%
Latin
ValueCountFrequency (%)
C 2510
25.0%
D 2510
25.0%
F 2510
25.0%
G 2510
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19512
38.9%
1 8005
15.9%
2 6365
 
12.7%
5 2992
 
6.0%
C 2510
 
5.0%
D 2510
 
5.0%
F 2510
 
5.0%
G 2510
 
5.0%
9 889
 
1.8%
3 595
 
1.2%
Other values (4) 1802
 
3.6%

인허가일자
Real number (ℝ)

Distinct2005
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113175
Minimum19641012
Maximum20221027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:24:56.490038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641012
5-th percentile19945223
Q120070307
median20121124
Q320180711
95-th percentile20211230
Maximum20221027
Range580015
Interquartile range (IQR)110404

Descriptive statistics

Standard deviation85132.915
Coefficient of variation (CV)0.004232694
Kurtosis1.804208
Mean20113175
Median Absolute Deviation (MAD)59437
Skewness-1.1626528
Sum5.0484069 × 1010
Variance7.2476132 × 109
MonotonicityNot monotonic
2023-12-11T04:24:56.720675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120620 6
 
0.2%
20101118 5
 
0.2%
20120723 5
 
0.2%
20120221 5
 
0.2%
20120704 4
 
0.2%
20120626 4
 
0.2%
20120425 4
 
0.2%
20190319 4
 
0.2%
20190225 4
 
0.2%
20190618 4
 
0.2%
Other values (1995) 2465
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 (%)
20221027 2
0.1%
20221026 1
< 0.1%
20221025 1
< 0.1%
20221021 1
< 0.1%
20221013 1
< 0.1%
20221011 1
< 0.1%
20221004 2
0.1%
20220927 2
0.1%
20220922 1
< 0.1%
20220920 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing2503
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20131986
Minimum20091103
Maximum20170216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:24:56.899204image/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
2023-12-11T04:24:57.071058image/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) 2503
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 size19.7 KiB
1
1839 
3
570 
4
 
100
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 1839
73.3%
3 570
 
22.7%
4 100
 
4.0%
2 1
 
< 0.1%

Length

2023-12-11T04:24:57.284953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:24:57.434887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1839
73.3%
3 570
 
22.7%
4 100
 
4.0%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
영업/정상
1839 
폐업
570 
취소/말소/만료/정지/중지
 
100
휴업
 
1

Length

Max length14
Median length5
Mean length4.6760956
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 1839
73.3%
폐업 570
 
22.7%
취소/말소/만료/정지/중지 100
 
4.0%
휴업 1
 
< 0.1%

Length

2023-12-11T04:24:57.608552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:24:57.826612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1839
73.3%
폐업 570
 
22.7%
취소/말소/만료/정지/중지 100
 
4.0%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.566135
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:24:57.969553image/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 deviation6.1848927
Coefficient of variation (CV)0.53474151
Kurtosis4.8880834
Mean11.566135
Median Absolute Deviation (MAD)0
Skewness1.3212558
Sum29031
Variance38.252898
MonotonicityNot monotonic
2023-12-11T04:24:58.146605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1838
73.2%
3 569
 
22.7%
35 73
 
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%
3 569
 
22.7%
13 1838
73.2%
14 1
 
< 0.1%
30 19
 
0.8%
31 1
 
< 0.1%
32 7
 
0.3%
34 1
 
< 0.1%
35 73
 
2.9%
ValueCountFrequency (%)
35 73
 
2.9%
34 1
 
< 0.1%
32 7
 
0.3%
31 1
 
< 0.1%
30 19
 
0.8%
14 1
 
< 0.1%
13 1838
73.2%
3 569
 
22.7%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
영업중
1838 
폐업
569 
직권말소
 
73
허가취소
 
19
신고취소
 
7
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.8131474
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1838
73.2%
폐업 569
 
22.7%
직권말소 73
 
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

2023-12-11T04:24:58.383583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:24:58.581352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1838
73.2%
폐업 569
 
22.7%
직권말소 73
 
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 

Distinct508
Distinct (%)79.6%
Missing1872
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean20142143
Minimum19981223
Maximum20221026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:24:58.811697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981223
5-th percentile20048784
Q120100714
median20151212
Q320180527
95-th percentile20211231
Maximum20221026
Range239803
Interquartile range (IQR)79813.25

Descriptive statistics

Standard deviation53435.916
Coefficient of variation (CV)0.0026529409
Kurtosis-0.7116298
Mean20142143
Median Absolute Deviation (MAD)39307
Skewness-0.51996154
Sum1.2850687 × 1010
Variance2.8553971 × 109
MonotonicityNot monotonic
2023-12-11T04:24:59.169756image/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 (498) 543
 
21.6%
(Missing) 1872
74.6%
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 (%)
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%
20220628 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2509 
20200401
 
1

Length

Max length8
Median length4
Mean length4.0015936
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> 2509
> 99.9%
20200401 1
 
< 0.1%

Length

2023-12-11T04:24:59.602185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:24:59.824123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2509
> 99.9%
20200401 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2509 
20200930
 
1

Length

Max length8
Median length4
Mean length4.0015936
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> 2509
> 99.9%
20200930 1
 
< 0.1%

Length

2023-12-11T04:25:00.036762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:00.235408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2509
> 99.9%
20200930 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

소재지전화
Text

MISSING 

Distinct1360
Distinct (%)96.0%
Missing1093
Missing (%)43.5%
Memory size19.7 KiB
2023-12-11T04:25:00.582140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.496824
Min length1

Characters and Unicode

Total characters14874
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

Unique1322 ?
Unique (%)93.3%

Sample

1st row256-4028
2nd row256-3355
3rd row426-1300
4th row428-6885
5th row256-1189
ValueCountFrequency (%)
000-0000 14
 
1.0%
0 4
 
0.3%
952-5252 4
 
0.3%
053-961-6126 3
 
0.2%
053-246-9344 3
 
0.2%
053-794-7022 3
 
0.2%
1800-6505 2
 
0.1%
053-421-6700 2
 
0.1%
000 2
 
0.1%
053-522-2350 2
 
0.1%
Other values (1349) 1378
97.2%
2023-12-11T04:25:01.211314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2133
14.3%
5 2112
14.2%
0 2033
13.7%
3 1659
11.2%
2 1434
9.6%
7 1059
7.1%
4 1054
7.1%
6 998
6.7%
1 880
5.9%
8 741
 
5.0%
Other values (5) 771
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12686
85.3%
Dash Punctuation 2133
 
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 2112
16.6%
0 2033
16.0%
3 1659
13.1%
2 1434
11.3%
7 1059
8.3%
4 1054
8.3%
6 998
7.9%
1 880
6.9%
8 741
 
5.8%
9 716
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 2133
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 14874
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2133
14.3%
5 2112
14.2%
0 2033
13.7%
3 1659
11.2%
2 1434
9.6%
7 1059
7.1%
4 1054
7.1%
6 998
6.7%
1 880
5.9%
8 741
 
5.0%
Other values (5) 771
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2133
14.3%
5 2112
14.2%
0 2033
13.7%
3 1659
11.2%
2 1434
9.6%
7 1059
7.1%
4 1054
7.1%
6 998
6.7%
1 880
5.9%
8 741
 
5.0%
Other values (5) 771
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct508
Distinct (%)38.6%
Missing1193
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean703551.81
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:01.488248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700396
Q1700821
median702865
Q3705833
95-th percentile706850
Maximum711891
Range11881
Interquartile range (IQR)5012

Descriptive statistics

Standard deviation2737.1749
Coefficient of variation (CV)0.0038905093
Kurtosis-0.4411302
Mean703551.81
Median Absolute Deviation (MAD)2165
Skewness0.48417353
Sum9.2657773 × 108
Variance7492126.2
MonotonicityNot monotonic
2023-12-11T04:25:01.754292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700440 92
 
3.7%
700823 36
 
1.4%
700803 29
 
1.2%
700831 24
 
1.0%
700413 14
 
0.6%
700802 14
 
0.6%
700813 12
 
0.5%
700821 11
 
0.4%
706822 11
 
0.4%
700412 9
 
0.4%
Other values (498) 1065
42.4%
(Missing) 1193
47.5%
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

Distinct1389
Distinct (%)55.6%
Missing11
Missing (%)0.4%
Memory size19.7 KiB
2023-12-11T04:25:02.362936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.164466
Min length13

Characters and Unicode

Total characters62886
Distinct characters382
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

Unique1077 ?
Unique (%)43.1%

Sample

1st row대구광역시 중구 동인동*가 ***-*번지
2nd row대구광역시 중구 남산동 ***-**번지
3rd row대구광역시 중구 남산동 ***-*번지
4th row대구광역시 중구 남산동 ***-***번지
5th row대구광역시 중구 서문로*가 **-*번지
ValueCountFrequency (%)
대구광역시 2499
21.0%
번지 1887
15.8%
중구 652
 
5.5%
599
 
5.0%
수성구 553
 
4.6%
호 442
 
3.7%
달서구 336
 
2.8%
동구 300
 
2.5%
남산동 281
 
2.4%
동 265
 
2.2%
Other values (866) 4097
34.4%
2023-12-11T04:25:03.251921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13203
21.0%
11500
18.3%
구 5004
 
8.0%
동 3130
 
5.0%
대 2909
 
4.6%
시 2555
 
4.1%
역 2515
 
4.0%
광 2507
 
4.0%
지 2073
 
3.3%
- 1933
 
3.1%
Other values (372) 15557
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36040
57.3%
Other Punctuation 13222
 
21.0%
Space Separator 11500
 
18.3%
Dash Punctuation 1933
 
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 5004
13.9%
동 3130
 
8.7%
대 2909
 
8.1%
시 2555
 
7.1%
역 2515
 
7.0%
광 2507
 
7.0%
지 2073
 
5.8%
번 1887
 
5.2%
성 935
 
2.6%
중 704
 
2.0%
Other values (336) 11821
32.8%
Uppercase Letter
ValueCountFrequency (%)
A 13
13.0%
B 12
12.0%
I 9
9.0%
S 8
 
8.0%
C 8
 
8.0%
K 6
 
6.0%
E 6
 
6.0%
W 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 (%)
* 13203
99.9%
, 11
 
0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
11500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1933
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 36040
57.3%
Common 26728
42.5%
Latin 118
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5004
13.9%
동 3130
 
8.7%
대 2909
 
8.1%
시 2555
 
7.1%
역 2515
 
7.0%
광 2507
 
7.0%
지 2073
 
5.8%
번 1887
 
5.2%
성 935
 
2.6%
중 704
 
2.0%
Other values (336) 11821
32.8%
Latin
ValueCountFrequency (%)
A 13
 
11.0%
e 12
 
10.2%
B 12
 
10.2%
I 9
 
7.6%
S 8
 
6.8%
C 8
 
6.8%
K 6
 
5.1%
E 6
 
5.1%
W 6
 
5.1%
T 5
 
4.2%
Other values (16) 33
28.0%
Common
ValueCountFrequency (%)
* 13203
49.4%
11500
43.0%
- 1933
 
7.2%
( 36
 
0.1%
) 36
 
0.1%
, 11
 
< 0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36040
57.3%
ASCII 26846
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13203
49.2%
11500
42.8%
- 1933
 
7.2%
( 36
 
0.1%
) 36
 
0.1%
A 13
 
< 0.1%
e 12
 
< 0.1%
B 12
 
< 0.1%
, 11
 
< 0.1%
I 9
 
< 0.1%
Other values (26) 81
 
0.3%
Hangul
ValueCountFrequency (%)
구 5004
13.9%
동 3130
 
8.7%
대 2909
 
8.1%
시 2555
 
7.1%
역 2515
 
7.0%
광 2507
 
7.0%
지 2073
 
5.8%
번 1887
 
5.2%
성 935
 
2.6%
중 704
 
2.0%
Other values (336) 11821
32.8%

도로명전체주소
Text

MISSING 

Distinct1921
Distinct (%)77.9%
Missing44
Missing (%)1.8%
Memory size19.7 KiB
2023-12-11T04:25:03.798342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length31.109489
Min length19

Characters and Unicode

Total characters76716
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

Unique1640 ?
Unique (%)66.5%

Sample

1st row대구광역시 중구 국채보상로***길 **-* (동인동*가)
2nd row대구광역시 중구 명륜로**길 ** (남산동)
3rd row대구광역시 중구 중앙대로**길 ** (남산동)
4th row대구광역시 중구 중앙대로**길 ** (남산동)
5th row대구광역시 중구 국채보상로***길 * (서문로*가)
ValueCountFrequency (%)
2477
 
16.5%
대구광역시 2466
 
16.4%
호 829
 
5.5%
중구 631
 
4.2%
수성구 554
 
3.7%
동 480
 
3.2%
층 405
 
2.7%
달서구 336
 
2.2%
동구 299
 
2.0%
남산동 272
 
1.8%
Other values (1443) 6283
41.8%
2023-12-11T04:25:04.612017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13476
17.6%
12824
16.7%
구 5219
 
6.8%
동 3631
 
4.7%
대 3379
 
4.4%
시 2542
 
3.3%
역 2498
 
3.3%
광 2475
 
3.2%
( 2440
 
3.2%
) 2440
 
3.2%
Other values (413) 25792
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42970
56.0%
Other Punctuation 15351
 
20.0%
Space Separator 12824
 
16.7%
Open Punctuation 2440
 
3.2%
Close Punctuation 2440
 
3.2%
Dash Punctuation 548
 
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 5219
 
12.1%
동 3631
 
8.5%
대 3379
 
7.9%
시 2542
 
5.9%
역 2498
 
5.8%
광 2475
 
5.8%
로 2356
 
5.5%
길 1177
 
2.7%
성 1111
 
2.6%
호 961
 
2.2%
Other values (375) 17621
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 (%)
* 13476
87.8%
, 1865
 
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%
r 2
 
9.1%
k 2
 
9.1%
c 1
 
4.5%
p 1
 
4.5%
Space Separator
ValueCountFrequency (%)
12824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2440
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 548
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42970
56.0%
Common 33606
43.8%
Latin 140
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5219
 
12.1%
동 3631
 
8.5%
대 3379
 
7.9%
시 2542
 
5.9%
역 2498
 
5.8%
광 2475
 
5.8%
로 2356
 
5.5%
길 1177
 
2.7%
성 1111
 
2.6%
호 961
 
2.2%
Other values (375) 17621
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 (%)
* 13476
40.1%
12824
38.2%
( 2440
 
7.3%
) 2440
 
7.3%
, 1865
 
5.5%
- 548
 
1.6%
· 4
 
< 0.1%
/ 3
 
< 0.1%
~ 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42970
56.0%
ASCII 33742
44.0%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13476
39.9%
12824
38.0%
( 2440
 
7.2%
) 2440
 
7.2%
, 1865
 
5.5%
- 548
 
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 5219
 
12.1%
동 3631
 
8.5%
대 3379
 
7.9%
시 2542
 
5.9%
역 2498
 
5.8%
광 2475
 
5.8%
로 2356
 
5.5%
길 1177
 
2.7%
성 1111
 
2.6%
호 961
 
2.2%
Other values (375) 17621
41.0%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1047
Distinct (%)49.9%
Missing410
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean329734.14
Minimum41001
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:04.849748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41194.55
Q141965
median42727
Q3701804
95-th percentile706803
Maximum711891
Range670890
Interquartile range (IQR)659839

Descriptive statistics

Standard deviation327818.5
Coefficient of variation (CV)0.99419033
Kurtosis-1.9333268
Mean329734.14
Median Absolute Deviation (MAD)1471
Skewness0.26151764
Sum6.924417 × 108
Variance1.0746497 × 1011
MonotonicityNot monotonic
2023-12-11T04:25:05.073282image/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 18
 
0.7%
41966 14
 
0.6%
700832 14
 
0.6%
41958 13
 
0.5%
41919 12
 
0.5%
700835 12
 
0.5%
Other values (1037) 1875
74.7%
(Missing) 410
 
16.3%
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

Distinct2430
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
2023-12-11T04:25:05.550264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6948207
Min length1

Characters and Unicode

Total characters16804
Distinct characters766
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

Unique2355 ?
Unique (%)93.8%

Sample

1st row동국불교출판사
2nd row금강애드컴
3rd row조은출판사
4th row도서출판생각그리기
5th row도서출판보람
ValueCountFrequency (%)
도서출판 231
 
6.8%
주식회사 108
 
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%
books 6
 
0.2%
주 6
 
0.2%
Other values (2695) 2928
86.4%
2023-12-11T04:25:06.295977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
 
5.2%
사 607
 
3.6%
판 599
 
3.6%
출 598
 
3.6%
서 361
 
2.1%
주 343
 
2.0%
도 338
 
2.0%
) 318
 
1.9%
인 317
 
1.9%
( 315
 
1.9%
Other values (756) 12131
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13686
81.4%
Space Separator 877
 
5.2%
Lowercase Letter 766
 
4.6%
Uppercase Letter 703
 
4.2%
Close Punctuation 318
 
1.9%
Open Punctuation 315
 
1.9%
Decimal Number 68
 
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 607
 
4.4%
판 599
 
4.4%
출 598
 
4.4%
서 361
 
2.6%
주 343
 
2.5%
도 338
 
2.5%
인 317
 
2.3%
이 310
 
2.3%
스 291
 
2.1%
디 195
 
1.4%
Other values (682) 9727
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 59
 
8.4%
O 53
 
7.5%
A 47
 
6.7%
M 45
 
6.4%
E 42
 
6.0%
C 40
 
5.7%
I 38
 
5.4%
T 37
 
5.3%
P 36
 
5.1%
B 35
 
5.0%
Other values (15) 271
38.5%
Lowercase Letter
ValueCountFrequency (%)
o 86
11.2%
e 78
 
10.2%
n 62
 
8.1%
s 61
 
8.0%
i 60
 
7.8%
a 59
 
7.7%
r 47
 
6.1%
l 43
 
5.6%
t 43
 
5.6%
u 29
 
3.8%
Other values (13) 198
25.8%
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%
7 2
 
2.9%
8 2
 
2.9%
4 2
 
2.9%
6 1
 
1.5%
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 (%)
877
100.0%
Close Punctuation
ValueCountFrequency (%)
) 318
100.0%
Open Punctuation
ValueCountFrequency (%)
( 315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13655
81.3%
Common 1649
 
9.8%
Latin 1469
 
8.7%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 607
 
4.4%
판 599
 
4.4%
출 598
 
4.4%
서 361
 
2.6%
주 343
 
2.5%
도 338
 
2.5%
인 317
 
2.3%
이 310
 
2.3%
스 291
 
2.1%
디 195
 
1.4%
Other values (657) 9696
71.0%
Latin
ValueCountFrequency (%)
o 86
 
5.9%
e 78
 
5.3%
n 62
 
4.2%
s 61
 
4.2%
i 60
 
4.1%
S 59
 
4.0%
a 59
 
4.0%
O 53
 
3.6%
A 47
 
3.2%
r 47
 
3.2%
Other values (38) 857
58.3%
Common
ValueCountFrequency (%)
877
53.2%
) 318
 
19.3%
( 315
 
19.1%
. 31
 
1.9%
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
 
2.2%
Han
ValueCountFrequency (%)
文 3
 
9.7%
印 2
 
6.5%
自 2
 
6.5%
堂 2
 
6.5%
靑 2
 
6.5%
齋 1
 
3.2%
岡 1
 
3.2%
正 1
 
3.2%
鳳 1
 
3.2%
長 1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13652
81.2%
ASCII 3117
 
18.5%
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 (%)
877
28.1%
) 318
 
10.2%
( 315
 
10.1%
o 86
 
2.8%
e 78
 
2.5%
n 62
 
2.0%
s 61
 
2.0%
i 60
 
1.9%
S 59
 
1.9%
a 59
 
1.9%
Other values (63) 1142
36.6%
Hangul
ValueCountFrequency (%)
사 607
 
4.4%
판 599
 
4.4%
출 598
 
4.4%
서 361
 
2.6%
주 343
 
2.5%
도 338
 
2.5%
인 317
 
2.3%
이 310
 
2.3%
스 291
 
2.1%
디 195
 
1.4%
Other values (654) 9693
71.0%
CJK
ValueCountFrequency (%)
文 3
 
10.0%
印 2
 
6.7%
自 2
 
6.7%
堂 2
 
6.7%
靑 2
 
6.7%
齋 1
 
3.3%
岡 1
 
3.3%
正 1
 
3.3%
鳳 1
 
3.3%
長 1
 
3.3%
Other values (14) 14
46.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
33.3%
ㅇ 1
33.3%
ㄱ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158748 × 1013
Minimum2.0021209 × 1013
Maximum2.0221028 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:06.524933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021209 × 1013
5-th percentile2.0070159 × 1013
Q12.0130346 × 1013
median2.0161229 × 1013
Q32.0200409 × 1013
95-th percentile2.0220518 × 1013
Maximum2.0221028 × 1013
Range1.9981901 × 1011
Interquartile range (IQR)7.0063554 × 1010

Descriptive statistics

Standard deviation4.6612072 × 1010
Coefficient of variation (CV)0.0023122504
Kurtosis-0.14503969
Mean2.0158748 × 1013
Median Absolute Deviation (MAD)3.8892942 × 1010
Skewness-0.63468427
Sum5.0598457 × 1016
Variance2.1726853 × 1021
MonotonicityNot monotonic
2023-12-11T04:25:06.760266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113130744 1
 
< 0.1%
20200823145119 1
 
< 0.1%
20101207145231 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%
20200714180625 1
 
< 0.1%
Other values (2500) 2500
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 (%)
20221028150320 1
< 0.1%
20221028104818 1
< 0.1%
20221028104738 1
< 0.1%
20221028104607 1
< 0.1%
20221027104018 1
< 0.1%
20221027094046 1
< 0.1%
20221026145209 1
< 0.1%
20221026145101 1
< 0.1%
20221026141803 1
< 0.1%
20221025161527 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
I
2119 
U
391 

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 2119
84.4%
U 391
 
15.6%

Length

2023-12-11T04:25:06.944378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:07.066772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2119
84.4%
u 391
 
15.6%

데이터갱신일자
Date

Distinct712
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-30 02:40:00
2023-12-11T04:25:07.207376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:25:07.384022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1969
Distinct (%)80.1%
Missing52
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean344118.12
Minimum327220.14
Maximum358331.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:07.543596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327220.14
5-th percentile336232.2
Q1342269.77
median344108.87
Q3346671.95
95-th percentile353371.43
Maximum358331.96
Range31111.826
Interquartile range (IQR)4402.1741

Descriptive statistics

Standard deviation4606.3651
Coefficient of variation (CV)0.013386
Kurtosis1.239911
Mean344118.12
Median Absolute Deviation (MAD)2418.3333
Skewness-0.11368769
Sum8.4584233 × 108
Variance21218599
MonotonicityNot monotonic
2023-12-11T04:25:07.739377image/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%
337648.965009 8
 
0.3%
345299.742438 8
 
0.3%
346942.691097 7
 
0.3%
343199.085449 6
 
0.2%
338899.412795 6
 
0.2%
344686.259338 6
 
0.2%
345687.898519 5
 
0.2%
345648.029405 5
 
0.2%
Other values (1959) 2391
95.3%
(Missing) 52
 
2.1%
ValueCountFrequency (%)
327220.136878 1
< 0.1%
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%
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 

Distinct1970
Distinct (%)80.1%
Missing52
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean263312.34
Minimum239218.02
Maximum277949.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:08.269193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258576.21
Q1261722.19
median263485.22
Q3264652.41
95-th percentile269300.92
Maximum277949.2
Range38731.182
Interquartile range (IQR)2930.2129

Descriptive statistics

Standard deviation3561.9912
Coefficient of variation (CV)0.013527627
Kurtosis8.3927562
Mean263312.34
Median Absolute Deviation (MAD)1337.9871
Skewness-0.98273108
Sum6.4722174 × 108
Variance12687781
MonotonicityNot monotonic
2023-12-11T04:25:08.445677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.902173 8
 
0.3%
266806.443246 8
 
0.3%
261472.280465 8
 
0.3%
262912.887933 8
 
0.3%
263989.847737 7
 
0.3%
263958.880864 6
 
0.2%
263950.695637 6
 
0.2%
257234.537085 6
 
0.2%
261484.241526 5
 
0.2%
263458.521991 5
 
0.2%
Other values (1960) 2391
95.3%
(Missing) 52
 
2.1%
ValueCountFrequency (%)
239218.020983 1
< 0.1%
240358.722944 1
< 0.1%
241089.866804 1
< 0.1%
244475.0 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%
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 size19.7 KiB
출판사
2510 

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 2510
100.0%

Length

2023-12-11T04:25:08.628285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:08.746564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2510
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
출판인쇄업
2510 

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 2510
100.0%

Length

2023-12-11T04:25:08.880263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:09.007675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2510
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.3%
Missing2080
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean1.644186
Minimum0
Maximum21
Zeros267
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:09.146115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6.55
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9346259
Coefficient of variation (CV)1.7848503
Kurtosis12.978607
Mean1.644186
Median Absolute Deviation (MAD)0
Skewness2.9872983
Sum707
Variance8.6120291
MonotonicityNot monotonic
2023-12-11T04:25:09.315428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 267
 
10.6%
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) 2080
82.9%
ValueCountFrequency (%)
0 267
10.6%
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 size19.7 KiB
<NA>
2448 
기타
 
30
아파트지역
 
14
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9948207
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> 2448
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

2023-12-11T04:25:09.516039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:09.673370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2448
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%
Missing2509
Missing (%)> 99.9%
Memory size19.7 KiB
2023-12-11T04:25:09.884031image/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%
2023-12-11T04:25:10.246066image/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 (%)52.6%
Missing1936
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean100.52552
Minimum0
Maximum5188.8
Zeros232
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:10.489241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median42
Q3109.02
95-th percentile392.5135
Maximum5188.8
Range5188.8
Interquartile range (IQR)109.02

Descriptive statistics

Standard deviation267.02846
Coefficient of variation (CV)2.656325
Kurtosis233.80683
Mean100.52552
Median Absolute Deviation (MAD)42
Skewness13.035007
Sum57701.65
Variance71304.198
MonotonicityNot monotonic
2023-12-11T04:25:10.710418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 232
 
9.2%
33.0 6
 
0.2%
66.0 4
 
0.2%
42.0 3
 
0.1%
30.0 3
 
0.1%
115.0 3
 
0.1%
84.99 3
 
0.1%
72.0 2
 
0.1%
84.0 2
 
0.1%
65.0 2
 
0.1%
Other values (292) 314
 
12.5%
(Missing) 1936
77.1%
ValueCountFrequency (%)
0.0 232
9.2%
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 (%)3.6%
Missing2011
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean1.8176353
Minimum0
Maximum24
Zeros268
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size22.2 KiB
2023-12-11T04:25:10.902648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6.1
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0320923
Coefficient of variation (CV)1.6681522
Kurtosis14.612283
Mean1.8176353
Median Absolute Deviation (MAD)0
Skewness3.2068003
Sum907
Variance9.193584
MonotonicityNot monotonic
2023-12-11T04:25:11.103790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 268
 
10.7%
2 50
 
2.0%
3 46
 
1.8%
4 43
 
1.7%
1 34
 
1.4%
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) 2011
80.1%
ValueCountFrequency (%)
0 268
10.7%
1 34
 
1.4%
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 size19.7 KiB
<NA>
2172 
0
273 
1
 
60
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.5960159
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> 2172
86.5%
0 273
 
10.9%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2023-12-11T04:25:11.304803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:11.467432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2172
86.5%
0 273
 
10.9%
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 size19.7 KiB
<NA>
2162 
근린생활시설
236 
아파트
 
41
사무실
 
25
단독주택
 
23
Other values (8)
 
23

Length

Max length15
Median length4
Mean length4.1988048
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> 2162
86.1%
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

2023-12-11T04:25:11.664709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2162
85.9%
근린생활시설 236
 
9.4%
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

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2238 
0
272 

Length

Max length4
Median length4
Mean length3.6749004
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> 2238
89.2%
0 272
 
10.8%

Length

2023-12-11T04:25:11.878027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:12.036410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2238
89.2%
0 272
 
10.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2238 
0
272 

Length

Max length4
Median length4
Mean length3.6749004
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> 2238
89.2%
0 272
 
10.8%

Length

2023-12-11T04:25:12.195350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:12.363964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2238
89.2%
0 272
 
10.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2238 
0
272 

Length

Max length4
Median length4
Mean length3.6749004
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> 2238
89.2%
0 272
 
10.8%

Length

2023-12-11T04:25:12.525335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:12.662704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2238
89.2%
0 272
 
10.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2238 
0
272 

Length

Max length4
Median length4
Mean length3.6749004
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> 2238
89.2%
0 272
 
10.8%

Length

2023-12-11T04:25:12.804782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:12.963581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2238
89.2%
0 272
 
10.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2238 
0
272 

Length

Max length4
Median length4
Mean length3.6749004
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> 2238
89.2%
0 272
 
10.8%

Length

2023-12-11T04:25:13.123571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:25:13.264014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2238
89.2%
0 272
 
10.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2510
Missing (%)100.0%
Memory size22.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.7 KiB
<NA>
2283 
일반주거지역
 
106
주거지역
 
34
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
41

Length

Max length6
Median length4
Mean length4.1442231
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> 2283
91.0%
일반주거지역 106
 
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

2023-12-11T04:25:13.443199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2283
91.0%
일반주거지역 106
 
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_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>
12출판사04_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>
23출판사04_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>
34출판사04_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>
45출판사04_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>
56출판사04_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>
67출판사04_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>
78출판사04_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>
89출판사04_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>
910출판사04_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
25002501출판사04_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>
25012502출판사04_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>
25022503출판사04_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>
25032504출판사04_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>
25042505출판사04_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>
25052506출판사04_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>
25062507출판사04_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>
25072508출판사04_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>
25082509출판사04_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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