Overview

Dataset statistics

Number of variables59
Number of observations2452
Missing cells62127
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

Description22년05월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093589&dataSetDetailId=DDI_0000093614&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 (66.4%)Imbalance
휴업시작일자 is highly imbalanced (99.5%)Imbalance
휴업종료일자 is highly imbalanced (99.5%)Imbalance
주변환경명 is highly imbalanced (91.6%)Imbalance
지하층수 is highly imbalanced (77.2%)Imbalance
건물용도명 is highly imbalanced (77.6%)Imbalance
통로너비 is highly imbalanced (59.8%)Imbalance
조명시설조도 is highly imbalanced (59.8%)Imbalance
노래방실수 is highly imbalanced (59.8%)Imbalance
청소년실수 is highly imbalanced (59.8%)Imbalance
총게임기수 is highly imbalanced (59.8%)Imbalance
지역구분명 is highly imbalanced (82.6%)Imbalance
인허가취소일자 has 2445 (99.7%) missing valuesMissing
폐업일자 has 1829 (74.6%) missing valuesMissing
재개업일자 has 2452 (100.0%) missing valuesMissing
소재지전화 has 1039 (42.4%) missing valuesMissing
소재지면적 has 2452 (100.0%) missing valuesMissing
소재지우편번호 has 1130 (46.1%) missing valuesMissing
도로명전체주소 has 44 (1.8%) missing valuesMissing
도로명우편번호 has 411 (16.8%) missing valuesMissing
업태구분명 has 2452 (100.0%) missing valuesMissing
좌표정보(X) has 49 (2.0%) missing valuesMissing
좌표정보(Y) has 49 (2.0%) missing valuesMissing
총층수 has 2097 (85.5%) missing valuesMissing
제작취급품목내용 has 2451 (> 99.9%) missing valuesMissing
시설면적 has 1953 (79.6%) missing valuesMissing
지상층수 has 2029 (82.7%) missing valuesMissing
비상계단여부 has 2452 (100.0%) missing valuesMissing
비상구여부 has 2452 (100.0%) missing valuesMissing
자동환기여부 has 2452 (100.0%) missing valuesMissing
청소년실여부 has 2452 (100.0%) missing valuesMissing
특수조명여부 has 2452 (100.0%) missing valuesMissing
방음시설여부 has 2452 (100.0%) missing valuesMissing
비디오재생기명 has 2452 (100.0%) missing valuesMissing
조명시설유무 has 2452 (100.0%) missing valuesMissing
음향시설여부 has 2452 (100.0%) missing valuesMissing
편의시설여부 has 2452 (100.0%) missing valuesMissing
소방시설여부 has 2452 (100.0%) missing valuesMissing
기존게임업외업종명 has 2452 (100.0%) missing valuesMissing
제공게임물명 has 2452 (100.0%) missing valuesMissing
공연장형태구분명 has 2452 (100.0%) missing valuesMissing
품목명 has 2452 (100.0%) missing valuesMissing
최초등록시점 has 2452 (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 192 (7.8%) zerosZeros
시설면적 has 159 (6.5%) zerosZeros
지상층수 has 192 (7.8%) zerosZeros

Reproduction

Analysis started2023-12-10 18:52:36.440084
Analysis finished2023-12-10 18:52:38.625638
Duration2.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1226.5
Minimum1
Maximum2452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:38.784231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile123.55
Q1613.75
median1226.5
Q31839.25
95-th percentile2329.45
Maximum2452
Range2451
Interquartile range (IQR)1225.5

Descriptive statistics

Standard deviation707.97575
Coefficient of variation (CV)0.57723257
Kurtosis-1.2
Mean1226.5
Median Absolute Deviation (MAD)613
Skewness0
Sum3007378
Variance501229.67
MonotonicityStrictly increasing
2023-12-11T03:52:39.133081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1640 1
 
< 0.1%
1633 1
 
< 0.1%
1634 1
 
< 0.1%
1635 1
 
< 0.1%
1636 1
 
< 0.1%
1637 1
 
< 0.1%
1638 1
 
< 0.1%
1639 1
 
< 0.1%
1641 1
 
< 0.1%
Other values (2442) 2442
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 (%)
2452 1
< 0.1%
2451 1
< 0.1%
2450 1
< 0.1%
2449 1
< 0.1%
2448 1
< 0.1%
2447 1
< 0.1%
2446 1
< 0.1%
2445 1
< 0.1%
2444 1
< 0.1%
2443 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
출판사
2452 

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 2452
100.0%

Length

2023-12-11T03:52:39.370356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:39.563746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2452
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
04_17_01_P
2452 

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 2452
100.0%

Length

2023-12-11T03:52:39.777021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:40.011041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2452
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440085.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:40.166817image/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 deviation23648.124
Coefficient of variation (CV)0.0068742836
Kurtosis-1.5322783
Mean3440085.6
Median Absolute Deviation (MAD)20000
Skewness-0.056354099
Sum8.43509 × 109
Variance5.5923379 × 108
MonotonicityIncreasing
2023-12-11T03:52:40.364522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 646
26.3%
3460000 539
22.0%
3470000 333
13.6%
3420000 296
12.1%
3450000 255
 
10.4%
3440000 222
 
9.1%
3430000 85
 
3.5%
3480000 76
 
3.1%
ValueCountFrequency (%)
3410000 646
26.3%
3420000 296
12.1%
3430000 85
 
3.5%
3440000 222
 
9.1%
3450000 255
 
10.4%
3460000 539
22.0%
3470000 333
13.6%
3480000 76
 
3.1%
ValueCountFrequency (%)
3480000 76
 
3.1%
3470000 333
13.6%
3460000 539
22.0%
3450000 255
 
10.4%
3440000 222
 
9.1%
3430000 85
 
3.5%
3420000 296
12.1%
3410000 646
26.3%

관리번호
Text

Distinct837
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2023-12-11T03:52:40.760176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters49040
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

Unique319 ?
Unique (%)13.0%

Sample

1st rowCDFG1251001990000004
2nd rowCDFG1251001989000004
3rd rowCDFG1251002001000018
4th rowCDFG1251002001000021
5th rowCDFG1251001992000003
ValueCountFrequency (%)
cdfg1251002009000001 8
 
0.3%
cdfg1251002019000006 8
 
0.3%
cdfg1251002020000001 8
 
0.3%
cdfg1251002022000001 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
cdfg1251002022000002 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
cdfg1251002019000007 8
 
0.3%
cdfg1251002019000002 8
 
0.3%
cdfg1251002021000009 8
 
0.3%
Other values (827) 2372
96.7%
2023-12-11T03:52:41.634653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19103
39.0%
1 7869
16.0%
2 6084
 
12.4%
5 2927
 
6.0%
C 2452
 
5.0%
D 2452
 
5.0%
F 2452
 
5.0%
G 2452
 
5.0%
9 883
 
1.8%
3 584
 
1.2%
Other values (4) 1782
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39232
80.0%
Uppercase Letter 9808
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19103
48.7%
1 7869
20.1%
2 6084
 
15.5%
5 2927
 
7.5%
9 883
 
2.3%
3 584
 
1.5%
4 472
 
1.2%
6 446
 
1.1%
8 444
 
1.1%
7 420
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 2452
25.0%
D 2452
25.0%
F 2452
25.0%
G 2452
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39232
80.0%
Latin 9808
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19103
48.7%
1 7869
20.1%
2 6084
 
15.5%
5 2927
 
7.5%
9 883
 
2.3%
3 584
 
1.5%
4 472
 
1.2%
6 446
 
1.1%
8 444
 
1.1%
7 420
 
1.1%
Latin
ValueCountFrequency (%)
C 2452
25.0%
D 2452
25.0%
F 2452
25.0%
G 2452
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19103
39.0%
1 7869
16.0%
2 6084
 
12.4%
5 2927
 
6.0%
C 2452
 
5.0%
D 2452
 
5.0%
F 2452
 
5.0%
G 2452
 
5.0%
9 883
 
1.8%
3 584
 
1.2%
Other values (4) 1782
 
3.6%

인허가일자
Real number (ℝ)

Distinct1961
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110878
Minimum19641012
Maximum20220524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:41.886142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641012
5-th percentile19941218
Q120070115
median20120823
Q320180328
95-th percentile20210819
Maximum20220524
Range579512
Interquartile range (IQR)110213

Descriptive statistics

Standard deviation84402.368
Coefficient of variation (CV)0.0041968514
Kurtosis1.8759116
Mean20110878
Median Absolute Deviation (MAD)59497
Skewness-1.1757902
Sum4.9311873 × 1010
Variance7.1237597 × 109
MonotonicityNot monotonic
2023-12-11T03:52:42.103678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120620 6
 
0.2%
20101118 5
 
0.2%
20120221 5
 
0.2%
20120723 5
 
0.2%
20120131 4
 
0.2%
20190618 4
 
0.2%
20120626 4
 
0.2%
20190225 4
 
0.2%
20190319 4
 
0.2%
20120425 4
 
0.2%
Other values (1951) 2407
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 (%)
20220524 1
 
< 0.1%
20220523 1
 
< 0.1%
20220517 3
0.1%
20220516 1
 
< 0.1%
20220512 1
 
< 0.1%
20220510 1
 
< 0.1%
20220506 1
 
< 0.1%
20220502 1
 
< 0.1%
20220427 2
0.1%
20220426 2
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing2445
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20131986
Minimum20091103
Maximum20170216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:42.286011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation24599.267
Coefficient of variation (CV)0.0012218996
Kurtosis1.0649908
Mean20131986
Median Absolute Deviation (MAD)10484
Skewness-0.11844122
Sum1.409239 × 108
Variance6.0512393 × 108
MonotonicityNot monotonic
2023-12-11T03:52:42.491322image/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) 2445
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 size19.3 KiB
1
1796 
3
556 
4
 
99
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 1796
73.2%
3 556
 
22.7%
4 99
 
4.0%
2 1
 
< 0.1%

Length

2023-12-11T03:52:42.802148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:42.986804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1796
73.2%
3 556
 
22.7%
4 99
 
4.0%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
영업/정상
1796 
폐업
556 
취소/말소/만료/정지/중지
 
99
휴업
 
1

Length

Max length14
Median length5
Mean length4.6818923
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 1796
73.2%
폐업 556
 
22.7%
취소/말소/만료/정지/중지 99
 
4.0%
휴업 1
 
< 0.1%

Length

2023-12-11T03:52:43.161520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:43.329834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1796
73.2%
폐업 556
 
22.7%
취소/말소/만료/정지/중지 99
 
4.0%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.58075
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:43.462426image/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 deviation6.2032424
Coefficient of variation (CV)0.53565116
Kurtosis4.863322
Mean11.58075
Median Absolute Deviation (MAD)0
Skewness1.3263489
Sum28396
Variance38.480217
MonotonicityNot monotonic
2023-12-11T03:52:43.621018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1794
73.2%
3 555
 
22.6%
35 72
 
2.9%
30 19
 
0.8%
32 7
 
0.3%
14 2
 
0.1%
2 1
 
< 0.1%
31 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 555
 
22.6%
13 1794
73.2%
14 2
 
0.1%
30 19
 
0.8%
31 1
 
< 0.1%
32 7
 
0.3%
34 1
 
< 0.1%
35 72
 
2.9%
ValueCountFrequency (%)
35 72
 
2.9%
34 1
 
< 0.1%
32 7
 
0.3%
31 1
 
< 0.1%
30 19
 
0.8%
14 2
 
0.1%
13 1794
73.2%
3 555
 
22.6%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
영업중
1794 
폐업
555 
직권말소
 
72
허가취소
 
19
신고취소
 
7
Other values (4)
 
5

Length

Max length5
Median length3
Mean length2.8136215
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1794
73.2%
폐업 555
 
22.6%
직권말소 72
 
2.9%
허가취소 19
 
0.8%
신고취소 7
 
0.3%
전입 2
 
0.1%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

Length

2023-12-11T03:52:43.822698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:44.029119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1794
73.2%
폐업 555
 
22.6%
직권말소 72
 
2.9%
허가취소 19
 
0.8%
신고취소 7
 
0.3%
전입 2
 
0.1%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct494
Distinct (%)79.3%
Missing1829
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean20140249
Minimum19981223
Maximum20220429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:44.260348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981223
5-th percentile20042119
Q120100570
median20150723
Q320180110
95-th percentile20210914
Maximum20220429
Range239206
Interquartile range (IQR)79540.5

Descriptive statistics

Standard deviation52644.761
Coefficient of variation (CV)0.0026139081
Kurtosis-0.7167237
Mean20140249
Median Absolute Deviation (MAD)39514
Skewness-0.52928908
Sum1.2547375 × 1010
Variance2.7714709 × 109
MonotonicityNot monotonic
2023-12-11T03:52:44.503163image/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%
20190315 4
 
0.2%
20200207 4
 
0.2%
20170203 3
 
0.1%
20100719 3
 
0.1%
20181120 3
 
0.1%
20170410 3
 
0.1%
20080123 2
 
0.1%
Other values (484) 528
 
21.5%
(Missing) 1829
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 (%)
20220429 1
< 0.1%
20220411 1
< 0.1%
20220408 1
< 0.1%
20220329 1
< 0.1%
20220323 1
< 0.1%
20220318 1
< 0.1%
20220310 1
< 0.1%
20220222 1
< 0.1%
20220214 1
< 0.1%
20220210 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2451 
20200401
 
1

Length

Max length8
Median length4
Mean length4.0016313
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> 2451
> 99.9%
20200401 1
 
< 0.1%

Length

2023-12-11T03:52:44.711376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:44.865159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2451
> 99.9%
20200401 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2451 
20200930
 
1

Length

Max length8
Median length4
Mean length4.0016313
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> 2451
> 99.9%
20200930 1
 
< 0.1%

Length

2023-12-11T03:52:45.018806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:45.163754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2451
> 99.9%
20200930 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

소재지전화
Text

MISSING 

Distinct1357
Distinct (%)96.0%
Missing1039
Missing (%)42.4%
Memory size19.3 KiB
2023-12-11T03:52:45.448831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.501062
Min length1

Characters and Unicode

Total characters14838
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

Unique1320 ?
Unique (%)93.4%

Sample

1st row423-8205
2nd row252-9763
3rd row255-5110,1
4th row425-0005
5th row423-1816,422-1447
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%
070-4220-8473 2
 
0.1%
053-257-2004 2
 
0.1%
253-2590 2
 
0.1%
053-421-6700 2
 
0.1%
Other values (1346) 1374
97.2%
2023-12-11T03:52:46.017651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2134
14.4%
5 2102
14.2%
0 2012
13.6%
3 1649
11.1%
2 1430
9.6%
7 1061
7.2%
4 1057
7.1%
6 997
6.7%
1 887
6.0%
8 739
 
5.0%
Other values (5) 770
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12649
85.2%
Dash Punctuation 2134
 
14.4%
Close Punctuation 25
 
0.2%
Open Punctuation 15
 
0.1%
Other Punctuation 10
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2102
16.6%
0 2012
15.9%
3 1649
13.0%
2 1430
11.3%
7 1061
8.4%
4 1057
8.4%
6 997
7.9%
1 887
7.0%
8 739
 
5.8%
9 715
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 2134
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 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2134
14.4%
5 2102
14.2%
0 2012
13.6%
3 1649
11.1%
2 1430
9.6%
7 1061
7.2%
4 1057
7.1%
6 997
6.7%
1 887
6.0%
8 739
 
5.0%
Other values (5) 770
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2134
14.4%
5 2102
14.2%
0 2012
13.6%
3 1649
11.1%
2 1430
9.6%
7 1061
7.2%
4 1057
7.1%
6 997
6.7%
1 887
6.0%
8 739
 
5.0%
Other values (5) 770
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)38.5%
Missing1130
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean703549.2
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:46.508385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700400
Q1700821
median702857
Q3705833
95-th percentile706850
Maximum711891
Range11881
Interquartile range (IQR)5012

Descriptive statistics

Standard deviation2738.4513
Coefficient of variation (CV)0.003892338
Kurtosis-0.44766065
Mean703549.2
Median Absolute Deviation (MAD)2174
Skewness0.48458508
Sum9.3009205 × 108
Variance7499115.5
MonotonicityNot monotonic
2023-12-11T03:52:46.711069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700440 92
 
3.8%
700823 36
 
1.5%
700803 29
 
1.2%
700831 24
 
1.0%
700802 15
 
0.6%
700413 14
 
0.6%
700813 12
 
0.5%
700821 11
 
0.4%
706822 11
 
0.4%
700421 9
 
0.4%
Other values (499) 1069
43.6%
(Missing) 1130
46.1%
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

Distinct1351
Distinct (%)55.4%
Missing13
Missing (%)0.5%
Memory size19.3 KiB
2023-12-11T03:52:47.166990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.145551
Min length13

Characters and Unicode

Total characters61330
Distinct characters379
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

Unique1053 ?
Unique (%)43.2%

Sample

1st row대구광역시 중구 봉산동 ***-**번지
2nd row대구광역시 중구 남산동 ***-**번지
3rd row대구광역시 중구 남산동 ***-*번지
4th row대구광역시 중구 대봉동 ***-*번지
5th row대구광역시 중구 봉산동 ***-*번지
ValueCountFrequency (%)
대구광역시 2439
21.0%
번지 1912
16.5%
중구 646
 
5.6%
수성구 536
 
4.6%
514
 
4.4%
호 430
 
3.7%
달서구 332
 
2.9%
동구 296
 
2.6%
남산동 283
 
2.4%
동 259
 
2.2%
Other values (837) 3949
34.1%
2023-12-11T03:52:47.952713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 12890
21.0%
11198
18.3%
구 4880
 
8.0%
동 3064
 
5.0%
대 2831
 
4.6%
시 2494
 
4.1%
역 2454
 
4.0%
광 2446
 
4.0%
지 2089
 
3.4%
번 1912
 
3.1%
Other values (369) 15072
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35137
57.3%
Other Punctuation 12906
 
21.0%
Space Separator 11198
 
18.3%
Dash Punctuation 1899
 
3.1%
Uppercase Letter 99
 
0.2%
Close Punctuation 36
 
0.1%
Open Punctuation 36
 
0.1%
Lowercase Letter 18
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4880
13.9%
동 3064
 
8.7%
대 2831
 
8.1%
시 2494
 
7.1%
역 2454
 
7.0%
광 2446
 
7.0%
지 2089
 
5.9%
번 1912
 
5.4%
성 906
 
2.6%
중 696
 
2.0%
Other values (333) 11365
32.3%
Uppercase Letter
ValueCountFrequency (%)
A 12
12.1%
B 12
12.1%
I 9
9.1%
C 8
 
8.1%
S 8
 
8.1%
K 6
 
6.1%
E 6
 
6.1%
W 6
 
6.1%
T 5
 
5.1%
L 5
 
5.1%
Other values (10) 22
22.2%
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 (%)
* 12890
99.9%
, 8
 
0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
11198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1899
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35137
57.3%
Common 26076
42.5%
Latin 117
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4880
13.9%
동 3064
 
8.7%
대 2831
 
8.1%
시 2494
 
7.1%
역 2454
 
7.0%
광 2446
 
7.0%
지 2089
 
5.9%
번 1912
 
5.4%
성 906
 
2.6%
중 696
 
2.0%
Other values (333) 11365
32.3%
Latin
ValueCountFrequency (%)
A 12
 
10.3%
e 12
 
10.3%
B 12
 
10.3%
I 9
 
7.7%
C 8
 
6.8%
S 8
 
6.8%
K 6
 
5.1%
E 6
 
5.1%
W 6
 
5.1%
T 5
 
4.3%
Other values (16) 33
28.2%
Common
ValueCountFrequency (%)
* 12890
49.4%
11198
42.9%
- 1899
 
7.3%
) 36
 
0.1%
( 36
 
0.1%
, 8
 
< 0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35137
57.3%
ASCII 26193
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 12890
49.2%
11198
42.8%
- 1899
 
7.3%
) 36
 
0.1%
( 36
 
0.1%
A 12
 
< 0.1%
e 12
 
< 0.1%
B 12
 
< 0.1%
I 9
 
< 0.1%
C 8
 
< 0.1%
Other values (26) 81
 
0.3%
Hangul
ValueCountFrequency (%)
구 4880
13.9%
동 3064
 
8.7%
대 2831
 
8.1%
시 2494
 
7.1%
역 2454
 
7.0%
광 2446
 
7.0%
지 2089
 
5.9%
번 1912
 
5.4%
성 906
 
2.6%
중 696
 
2.0%
Other values (333) 11365
32.3%

도로명전체주소
Text

MISSING 

Distinct1879
Distinct (%)78.0%
Missing44
Missing (%)1.8%
Memory size19.3 KiB
2023-12-11T03:52:48.382584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length30.938953
Min length19

Characters and Unicode

Total characters74501
Distinct characters418
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

Unique1608 ?
Unique (%)66.8%

Sample

1st row대구광역시 중구 명륜로*길 ** (남산동)
2nd row대구광역시 중구 명륜로 * (남산동)
3rd row대구광역시 중구 명륜로 *** (대봉동)
4th row대구광역시 중구 명륜로**길 ** (봉산동)
5th row대구광역시 중구 봉산문화*길 **-**, 스카이랜드오피스텔 ***호 (봉산동)
ValueCountFrequency (%)
2417
 
16.5%
대구광역시 2408
 
16.5%
호 789
 
5.4%
중구 625
 
4.3%
수성구 538
 
3.7%
동 455
 
3.1%
층 397
 
2.7%
달서구 332
 
2.3%
동구 295
 
2.0%
남산동 274
 
1.9%
Other values (1412) 6086
41.6%
2023-12-11T03:52:49.094049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13021
17.5%
12467
16.7%
구 5092
 
6.8%
동 3542
 
4.8%
대 3297
 
4.4%
시 2482
 
3.3%
역 2437
 
3.3%
광 2416
 
3.2%
) 2387
 
3.2%
( 2387
 
3.2%
Other values (408) 24973
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41764
56.1%
Other Punctuation 14821
 
19.9%
Space Separator 12467
 
16.7%
Close Punctuation 2387
 
3.2%
Open Punctuation 2387
 
3.2%
Dash Punctuation 531
 
0.7%
Uppercase Letter 119
 
0.2%
Lowercase Letter 22
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5092
 
12.2%
동 3542
 
8.5%
대 3297
 
7.9%
시 2482
 
5.9%
역 2437
 
5.8%
광 2416
 
5.8%
로 2297
 
5.5%
길 1148
 
2.7%
성 1079
 
2.6%
호 919
 
2.2%
Other values (370) 17055
40.8%
Uppercase Letter
ValueCountFrequency (%)
B 17
14.3%
A 13
10.9%
I 12
10.1%
C 11
9.2%
T 9
 
7.6%
S 9
 
7.6%
E 6
 
5.0%
H 5
 
4.2%
L 5
 
4.2%
D 5
 
4.2%
Other values (11) 27
22.7%
Other Punctuation
ValueCountFrequency (%)
* 13021
87.9%
, 1790
 
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%
p 1
 
4.5%
c 1
 
4.5%
Space Separator
ValueCountFrequency (%)
12467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2387
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 531
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41764
56.1%
Common 32596
43.8%
Latin 141
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5092
 
12.2%
동 3542
 
8.5%
대 3297
 
7.9%
시 2482
 
5.9%
역 2437
 
5.8%
광 2416
 
5.8%
로 2297
 
5.5%
길 1148
 
2.7%
성 1079
 
2.6%
호 919
 
2.2%
Other values (370) 17055
40.8%
Latin
ValueCountFrequency (%)
B 17
12.1%
A 13
 
9.2%
e 13
 
9.2%
I 12
 
8.5%
C 11
 
7.8%
T 9
 
6.4%
S 9
 
6.4%
E 6
 
4.3%
H 5
 
3.5%
L 5
 
3.5%
Other values (17) 41
29.1%
Common
ValueCountFrequency (%)
* 13021
39.9%
12467
38.2%
) 2387
 
7.3%
( 2387
 
7.3%
, 1790
 
5.5%
- 531
 
1.6%
· 4
 
< 0.1%
/ 3
 
< 0.1%
~ 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41764
56.1%
ASCII 32733
43.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13021
39.8%
12467
38.1%
) 2387
 
7.3%
( 2387
 
7.3%
, 1790
 
5.5%
- 531
 
1.6%
B 17
 
0.1%
A 13
 
< 0.1%
e 13
 
< 0.1%
I 12
 
< 0.1%
Other values (27) 95
 
0.3%
Hangul
ValueCountFrequency (%)
구 5092
 
12.2%
동 3542
 
8.5%
대 3297
 
7.9%
시 2482
 
5.9%
역 2437
 
5.8%
광 2416
 
5.8%
로 2297
 
5.5%
길 1148
 
2.7%
성 1079
 
2.6%
호 919
 
2.2%
Other values (370) 17055
40.8%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1023
Distinct (%)50.1%
Missing411
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean339342.86
Minimum41001
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:49.342504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41196
Q141965
median42752
Q3701815
95-th percentile706806
Maximum711891
Range670890
Interquartile range (IQR)659850

Descriptive statistics

Standard deviation328932.63
Coefficient of variation (CV)0.96932239
Kurtosis-1.9609375
Mean339342.86
Median Absolute Deviation (MAD)1556
Skewness0.20213623
Sum6.9259878 × 108
Variance1.0819667 × 1011
MonotonicityNot monotonic
2023-12-11T03:52:49.540934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700831 57
 
2.3%
700823 36
 
1.5%
700802 29
 
1.2%
41965 20
 
0.8%
42699 17
 
0.7%
700832 14
 
0.6%
41966 14
 
0.6%
41958 13
 
0.5%
41919 12
 
0.5%
700835 12
 
0.5%
Other values (1013) 1817
74.1%
(Missing) 411
 
16.8%
ValueCountFrequency (%)
41001 2
0.1%
41002 1
 
< 0.1%
41005 4
0.2%
41009 1
 
< 0.1%
41015 1
 
< 0.1%
41022 2
0.1%
41023 1
 
< 0.1%
41026 3
0.1%
41028 2
0.1%
41034 1
 
< 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

Distinct2374
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2023-12-11T03:52:49.979726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6973899
Min length1

Characters and Unicode

Total characters16422
Distinct characters757
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

Unique2301 ?
Unique (%)93.8%

Sample

1st row도서출판이정표
2nd row문예사
3rd row모던출판사
4th row문화춘추
5th row명심출판사
ValueCountFrequency (%)
도서출판 228
 
6.9%
주식회사 104
 
3.2%
출판사 46
 
1.4%
디자인 22
 
0.7%
출판 11
 
0.3%
사단법인 10
 
0.3%
press 7
 
0.2%
커뮤니케이션 7
 
0.2%
books 6
 
0.2%
인쇄 6
 
0.2%
Other values (2632) 2853
86.5%
2023-12-11T03:52:50.716195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
848
 
5.2%
사 596
 
3.6%
판 591
 
3.6%
출 590
 
3.6%
서 356
 
2.2%
주 338
 
2.1%
도 335
 
2.0%
) 314
 
1.9%
( 313
 
1.9%
인 312
 
1.9%
Other values (747) 11829
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13390
81.5%
Space Separator 848
 
5.2%
Lowercase Letter 732
 
4.5%
Uppercase Letter 688
 
4.2%
Close Punctuation 314
 
1.9%
Open Punctuation 313
 
1.9%
Decimal Number 68
 
0.4%
Other Punctuation 58
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 596
 
4.5%
판 591
 
4.4%
출 590
 
4.4%
서 356
 
2.7%
주 338
 
2.5%
도 335
 
2.5%
인 312
 
2.3%
이 298
 
2.2%
스 281
 
2.1%
디 189
 
1.4%
Other values (673) 9504
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 58
 
8.4%
O 53
 
7.7%
A 47
 
6.8%
M 44
 
6.4%
E 40
 
5.8%
I 38
 
5.5%
C 38
 
5.5%
P 36
 
5.2%
B 35
 
5.1%
T 34
 
4.9%
Other values (15) 265
38.5%
Lowercase Letter
ValueCountFrequency (%)
o 80
10.9%
e 75
 
10.2%
s 60
 
8.2%
n 59
 
8.1%
i 57
 
7.8%
a 56
 
7.7%
r 44
 
6.0%
l 42
 
5.7%
t 41
 
5.6%
u 27
 
3.7%
Other values (13) 191
26.1%
Decimal Number
ValueCountFrequency (%)
1 17
25.0%
2 12
17.6%
3 10
14.7%
5 8
11.8%
0 8
11.8%
9 6
 
8.8%
4 2
 
2.9%
8 2
 
2.9%
7 2
 
2.9%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 29
50.0%
& 16
27.6%
, 4
 
6.9%
' 3
 
5.2%
" 2
 
3.4%
% 2
 
3.4%
/ 1
 
1.7%
· 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
< 1
33.3%
+ 1
33.3%
> 1
33.3%
Space Separator
ValueCountFrequency (%)
848
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13359
81.3%
Common 1612
 
9.8%
Latin 1420
 
8.6%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 596
 
4.5%
판 591
 
4.4%
출 590
 
4.4%
서 356
 
2.7%
주 338
 
2.5%
도 335
 
2.5%
인 312
 
2.3%
이 298
 
2.2%
스 281
 
2.1%
디 189
 
1.4%
Other values (648) 9473
70.9%
Latin
ValueCountFrequency (%)
o 80
 
5.6%
e 75
 
5.3%
s 60
 
4.2%
n 59
 
4.2%
S 58
 
4.1%
i 57
 
4.0%
a 56
 
3.9%
O 53
 
3.7%
A 47
 
3.3%
r 44
 
3.1%
Other values (38) 831
58.5%
Common
ValueCountFrequency (%)
848
52.6%
) 314
 
19.5%
( 313
 
19.4%
. 29
 
1.8%
1 17
 
1.1%
& 16
 
1.0%
2 12
 
0.7%
3 10
 
0.6%
5 8
 
0.5%
0 8
 
0.5%
Other values (16) 37
 
2.3%
Han
ValueCountFrequency (%)
文 3
 
9.7%
堂 2
 
6.5%
靑 2
 
6.5%
印 2
 
6.5%
自 2
 
6.5%
斯 1
 
3.2%
長 1
 
3.2%
江 1
 
3.2%
正 1
 
3.2%
林 1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13356
81.3%
ASCII 3031
 
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 (%)
848
28.0%
) 314
 
10.4%
( 313
 
10.3%
o 80
 
2.6%
e 75
 
2.5%
s 60
 
2.0%
n 59
 
1.9%
S 58
 
1.9%
i 57
 
1.9%
a 56
 
1.8%
Other values (63) 1111
36.7%
Hangul
ValueCountFrequency (%)
사 596
 
4.5%
판 591
 
4.4%
출 590
 
4.4%
서 356
 
2.7%
주 338
 
2.5%
도 335
 
2.5%
인 312
 
2.3%
이 298
 
2.2%
스 281
 
2.1%
디 189
 
1.4%
Other values (645) 9470
70.9%
CJK
ValueCountFrequency (%)
文 3
 
10.0%
堂 2
 
6.7%
靑 2
 
6.7%
印 2
 
6.7%
自 2
 
6.7%
斯 1
 
3.3%
長 1
 
3.3%
江 1
 
3.3%
正 1
 
3.3%
林 1
 
3.3%
Other values (14) 14
46.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
33.3%
ㄱ 1
33.3%
ㅇ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156519 × 1013
Minimum2.0021209 × 1013
Maximum2.0220527 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:50.999156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021209 × 1013
5-th percentile2.007012 × 1013
Q12.0130131 × 1013
median2.0161012 × 1013
Q32.0191205 × 1013
95-th percentile2.0220119 × 1013
Maximum2.0220527 × 1013
Range1.9931801 × 1011
Interquartile range (IQR)6.1074769 × 1010

Descriptive statistics

Standard deviation4.5677595 × 1010
Coefficient of variation (CV)0.002266145
Kurtosis-0.09890687
Mean2.0156519 × 1013
Median Absolute Deviation (MAD)3.0690006 × 1010
Skewness-0.64378846
Sum4.9423785 × 1016
Variance2.0864426 × 1021
MonotonicityNot monotonic
2023-12-11T03:52:51.233095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113130653 1
 
< 0.1%
20210903173656 1
 
< 0.1%
20200823144618 1
 
< 0.1%
20210714173555 1
 
< 0.1%
20210715133840 1
 
< 0.1%
20210927155108 1
 
< 0.1%
20210713175545 1
 
< 0.1%
20211215175003 1
 
< 0.1%
20210903132614 1
 
< 0.1%
20211015113531 1
 
< 0.1%
Other values (2442) 2442
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 (%)
20220527154836 1
< 0.1%
20220527131614 1
< 0.1%
20220524170556 1
< 0.1%
20220523140400 1
< 0.1%
20220519155459 1
< 0.1%
20220518143755 1
< 0.1%
20220517144918 1
< 0.1%
20220517143655 1
< 0.1%
20220517143435 1
< 0.1%
20220516181905 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
I
2093 
U
359 

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 2093
85.4%
U 359
 
14.6%

Length

2023-12-11T03:52:51.476717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:51.609996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2093
85.4%
u 359
 
14.6%

데이터갱신일자
Date

Distinct653
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-29 02:40:00
2023-12-11T03:52:51.785226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:52.231283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1934
Distinct (%)80.5%
Missing49
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean344160.57
Minimum327735.04
Maximum358331.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:52.506132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327735.04
5-th percentile336452.03
Q1342420.54
median344111.45
Q3346671.95
95-th percentile353440.73
Maximum358331.96
Range30596.918
Interquartile range (IQR)4251.4038

Descriptive statistics

Standard deviation4588.8441
Coefficient of variation (CV)0.01333344
Kurtosis1.2240255
Mean344160.57
Median Absolute Deviation (MAD)2408.6337
Skewness-0.075251198
Sum8.2701784 × 108
Variance21057491
MonotonicityNot monotonic
2023-12-11T03:52:52.729775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345299.742438 8
 
0.3%
342774.766132 8
 
0.3%
342632.844135 8
 
0.3%
337648.965009 7
 
0.3%
346942.691097 7
 
0.3%
343199.085449 6
 
0.2%
344686.259338 6
 
0.2%
338899.412795 6
 
0.2%
343232.770826 5
 
0.2%
345648.029405 5
 
0.2%
Other values (1924) 2337
95.3%
(Missing) 49
 
2.0%
ValueCountFrequency (%)
327735.044524 1
< 0.1%
327853.173809 1
< 0.1%
328100.968316 1
< 0.1%
328822.571709 1
< 0.1%
329247.390016 1
< 0.1%
329282.731288 1
< 0.1%
329807.357341 1
< 0.1%
330130.823289 1
< 0.1%
330202.0 1
< 0.1%
330493.0 2
0.1%
ValueCountFrequency (%)
358331.962448 1
 
< 0.1%
358213.056494 1
 
< 0.1%
357975.880928 1
 
< 0.1%
357888.724162 3
0.1%
357835.663303 1
 
< 0.1%
357672.59192 1
 
< 0.1%
356881.723508 1
 
< 0.1%
356698.367083 1
 
< 0.1%
356563.295271 1
 
< 0.1%
356548.207715 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1935
Distinct (%)80.5%
Missing49
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263316.57
Minimum239218.02
Maximum277949.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:52.979479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258628.27
Q1261757.31
median263487.94
Q3264645.85
95-th percentile269222.12
Maximum277949.2
Range38731.182
Interquartile range (IQR)2888.541

Descriptive statistics

Standard deviation3474.8341
Coefficient of variation (CV)0.013196413
Kurtosis8.2444794
Mean263316.57
Median Absolute Deviation (MAD)1336.3935
Skewness-0.90621516
Sum6.3274972 × 108
Variance12074472
MonotonicityNot monotonic
2023-12-11T03:52:53.219596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266806.443246 8
 
0.3%
262643.902173 8
 
0.3%
262912.887933 8
 
0.3%
263989.847737 7
 
0.3%
261472.280465 7
 
0.3%
263958.880864 6
 
0.2%
257234.537085 6
 
0.2%
263950.695637 6
 
0.2%
261131.856154 5
 
0.2%
266987.666828 5
 
0.2%
Other values (1925) 2337
95.3%
(Missing) 49
 
2.0%
ValueCountFrequency (%)
239218.020983 1
 
< 0.1%
240358.722944 1
 
< 0.1%
244495.0 1
 
< 0.1%
244504.0 1
 
< 0.1%
244639.0 1
 
< 0.1%
244716.032592 1
 
< 0.1%
244720.534505 1
 
< 0.1%
244747.0 1
 
< 0.1%
244962.0 1
 
< 0.1%
244989.0 3
0.1%
ValueCountFrequency (%)
277949.202873 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%
273553.602891 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
출판사
2452 

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 2452
100.0%

Length

2023-12-11T03:52:53.472878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:53.642695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2452
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
출판인쇄업
2452 

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 2452
100.0%

Length

2023-12-11T03:52:53.779434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:53.994592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2452
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.9%
Missing2097
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean1.9915493
Minimum0
Maximum21
Zeros192
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:54.128351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile7
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1213565
Coefficient of variation (CV)1.5673006
Kurtosis10.858675
Mean1.9915493
Median Absolute Deviation (MAD)0
Skewness2.705549
Sum707
Variance9.7428662
MonotonicityNot monotonic
2023-12-11T03:52:54.285248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 192
 
7.8%
4 31
 
1.3%
5 26
 
1.1%
3 26
 
1.1%
2 25
 
1.0%
1 21
 
0.9%
6 12
 
0.5%
7 7
 
0.3%
8 5
 
0.2%
10 4
 
0.2%
Other values (4) 6
 
0.2%
(Missing) 2097
85.5%
ValueCountFrequency (%)
0 192
7.8%
1 21
 
0.9%
2 25
 
1.0%
3 26
 
1.1%
4 31
 
1.3%
5 26
 
1.1%
6 12
 
0.5%
7 7
 
0.3%
8 5
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
19 3
 
0.1%
16 1
 
< 0.1%
10 4
 
0.2%
9 1
 
< 0.1%
8 5
 
0.2%
7 7
 
0.3%
6 12
 
0.5%
5 26
1.1%
4 31
1.3%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2390 
기타
 
30
아파트지역
 
14
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9946982
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> 2390
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

2023-12-11T03:52:54.449280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:54.619232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2390
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%
Missing2451
Missing (%)> 99.9%
Memory size19.3 KiB
2023-12-11T03:52:54.829432image/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%
2023-12-11T03:52:55.370353image/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 

Distinct301
Distinct (%)60.3%
Missing1953
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean115.75058
Minimum0
Maximum5188.8
Zeros159
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:55.690170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59.91
Q3126.26
95-th percentile436.728
Maximum5188.8
Range5188.8
Interquartile range (IQR)126.26

Descriptive statistics

Standard deviation283.39415
Coefficient of variation (CV)2.4483173
Kurtosis209.40566
Mean115.75058
Median Absolute Deviation (MAD)59.91
Skewness12.398156
Sum57759.54
Variance80312.244
MonotonicityNot monotonic
2023-12-11T03:52:55.967458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 159
 
6.5%
33.0 6
 
0.2%
66.0 4
 
0.2%
84.99 3
 
0.1%
42.0 3
 
0.1%
30.0 3
 
0.1%
115.0 3
 
0.1%
103.5 2
 
0.1%
84.94 2
 
0.1%
127.06 2
 
0.1%
Other values (291) 312
 
12.7%
(Missing) 1953
79.6%
ValueCountFrequency (%)
0.0 159
6.5%
2.19 1
 
< 0.1%
3.0 2
 
0.1%
3.32 1
 
< 0.1%
7.0 1
 
< 0.1%
8.8 2
 
0.1%
9.0 1
 
< 0.1%
10.0 1
 
< 0.1%
15.0 1
 
< 0.1%
15.25 1
 
< 0.1%
ValueCountFrequency (%)
5188.8 1
< 0.1%
1835.29 1
< 0.1%
1039.13 1
< 0.1%
989.93 1
< 0.1%
957.24 1
< 0.1%
757.12 1
< 0.1%
755.58 1
< 0.1%
727.17 1
< 0.1%
645.36 1
< 0.1%
644.1 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)4.3%
Missing2029
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean2.144208
Minimum0
Maximum24
Zeros192
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-11T03:52:56.201673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation3.1854986
Coefficient of variation (CV)1.4856294
Kurtosis12.772791
Mean2.144208
Median Absolute Deviation (MAD)1
Skewness2.9893771
Sum907
Variance10.147401
MonotonicityNot monotonic
2023-12-11T03:52:56.396802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 192
 
7.8%
2 50
 
2.0%
3 46
 
1.9%
4 43
 
1.8%
1 34
 
1.4%
5 26
 
1.1%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
15 3
 
0.1%
Other values (8) 12
 
0.5%
(Missing) 2029
82.7%
ValueCountFrequency (%)
0 192
7.8%
1 34
 
1.4%
2 50
 
2.0%
3 46
 
1.9%
4 43
 
1.8%
5 26
 
1.1%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
18 2
0.1%
15 3
0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 3
0.1%
9 2
0.1%
8 4
0.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2190 
0
 
197
1
 
60
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.6794454
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> 2190
89.3%
0 197
 
8.0%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2023-12-11T03:52:56.723252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:56.962459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2190
89.3%
0 197
 
8.0%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2105 
근린생활시설
236 
아파트
 
40
사무실
 
25
단독주택
 
23
Other values (8)
 
23

Length

Max length15
Median length4
Mean length4.2039152
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> 2105
85.8%
근린생활시설 236
 
9.6%
아파트 40
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 9
 
0.4%
다가구용 주택(공동주택적용) 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
콘도미니엄 1
 
< 0.1%
Other values (3) 3
 
0.1%

Length

2023-12-11T03:52:57.130959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2105
85.6%
근린생활시설 236
 
9.6%
아파트 40
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 9
 
0.4%
다가구용 6
 
0.2%
주택(공동주택적용 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
Other values (4) 4
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2256 
0
 
196

Length

Max length4
Median length4
Mean length3.7601958
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> 2256
92.0%
0 196
 
8.0%

Length

2023-12-11T03:52:57.327810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:57.474794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2256
92.0%
0 196
 
8.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2256 
0
 
196

Length

Max length4
Median length4
Mean length3.7601958
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> 2256
92.0%
0 196
 
8.0%

Length

2023-12-11T03:52:57.639501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:57.788789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2256
92.0%
0 196
 
8.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2256 
0
 
196

Length

Max length4
Median length4
Mean length3.7601958
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> 2256
92.0%
0 196
 
8.0%

Length

2023-12-11T03:52:57.950152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:58.157512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2256
92.0%
0 196
 
8.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2256 
0
 
196

Length

Max length4
Median length4
Mean length3.7601958
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> 2256
92.0%
0 196
 
8.0%

Length

2023-12-11T03:52:58.718754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:58.859923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2256
92.0%
0 196
 
8.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2256 
0
 
196

Length

Max length4
Median length4
Mean length3.7601958
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> 2256
92.0%
0 196
 
8.0%

Length

2023-12-11T03:52:59.014726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:59.146269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2256
92.0%
0 196
 
8.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2452
Missing (%)100.0%
Memory size21.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
<NA>
2226 
일반주거지역
 
105
주거지역
 
34
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
41

Length

Max length6
Median length4
Mean length4.1468189
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> 2226
90.8%
일반주거지역 105
 
4.3%
주거지역 34
 
1.4%
근린상업지역 25
 
1.0%
일반상업지역 21
 
0.9%
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

2023-12-11T03:52:59.302985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2226
90.8%
일반주거지역 105
 
4.3%
주거지역 34
 
1.4%
근린상업지역 25
 
1.0%
일반상업지역 21
 
0.9%
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_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>
12출판사04_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>
23출판사04_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>
34출판사04_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>
45출판사04_17_01_P3410000CDFG125100199200000319920325201201274취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>423-1816,422-1447<NA>700823대구광역시 중구 봉산동 ***-*번지대구광역시 중구 명륜로**길 ** (봉산동)700823명심출판사20120127114439I2018-08-31 23:59:59.0<NA>344111.451178263450.084849출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56출판사04_17_01_P3410000CDFG125100201000001320100429<NA>4취소/말소/만료/정지/중지35직권말소20210903<NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 ***-* 스카이랜드오피스텔대구광역시 중구 봉산문화*길 **-**, 스카이랜드오피스텔 ***호 (봉산동)41959이서국20210904143919U2021-09-06 02:40:00.0<NA>344262.034771263735.924488출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
67출판사04_17_01_P3410000CDFG125100201200000820120131<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 ***-**번지대구광역시 중구 봉산문화*길 **, *층 (봉산동)41959성우기획20190819104209U2019-08-21 02:40:00.0<NA>344182.419808263820.481816출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100201500002720151208<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-5194<NA><NA>대구광역시 중구 봉산동 ***-***번지대구광역시 중구 명륜로**길 ** (봉산동)41958성민인쇄기획20151208102603I2018-08-31 23:59:59.0<NA>344063.621541263591.552437출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89출판사04_17_01_P3410000CDFG125100201500002820151210<NA>1영업/정상13영업중<NA><NA><NA><NA>053-214-6116<NA><NA>대구광역시 중구 서내동 **-*번지대구광역시 중구 서성로**길 ** (서내동)41919더스타일20151210151053I2018-08-31 23:59:59.0<NA>343431.965046264751.408155출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910출판사04_17_01_P3410000CDFG125100201500002920120228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로*가 *-**번지 *층대구광역시 중구 동성로 ** (태평로*가)41910화니광고기획20151217171102I2018-08-31 23:59:59.0<NA>344039.440037265007.092227출판사출판인쇄업1학교정화(상대)<NA>42.01<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>관리지역
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
24422443출판사04_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>
24432444출판사04_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>
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24452446출판사04_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>
24462447출판사04_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>
24472448출판사04_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>
24482449출판사04_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>
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