Overview

Dataset statistics

Number of variables59
Number of observations2466
Missing cells62449
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

Description22년06월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093911&dataSetDetailId=DDI_0000093904&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 (91.7%)Imbalance
지하층수 is highly imbalanced (76.2%)Imbalance
건물용도명 is highly imbalanced (77.7%)Imbalance
통로너비 is highly imbalanced (57.3%)Imbalance
조명시설조도 is highly imbalanced (57.3%)Imbalance
노래방실수 is highly imbalanced (57.3%)Imbalance
청소년실수 is highly imbalanced (57.3%)Imbalance
총게임기수 is highly imbalanced (57.3%)Imbalance
지역구분명 is highly imbalanced (82.7%)Imbalance
인허가취소일자 has 2459 (99.7%) missing valuesMissing
폐업일자 has 1838 (74.5%) missing valuesMissing
재개업일자 has 2466 (100.0%) missing valuesMissing
소재지전화 has 1055 (42.8%) missing valuesMissing
소재지면적 has 2466 (100.0%) missing valuesMissing
소재지우편번호 has 1146 (46.5%) missing valuesMissing
도로명전체주소 has 44 (1.8%) missing valuesMissing
도로명우편번호 has 411 (16.7%) missing valuesMissing
업태구분명 has 2466 (100.0%) missing valuesMissing
좌표정보(X) has 50 (2.0%) missing valuesMissing
좌표정보(Y) has 50 (2.0%) missing valuesMissing
총층수 has 2092 (84.8%) missing valuesMissing
제작취급품목내용 has 2465 (> 99.9%) missing valuesMissing
시설면적 has 1948 (79.0%) missing valuesMissing
지상층수 has 2024 (82.1%) missing valuesMissing
비상계단여부 has 2466 (100.0%) missing valuesMissing
비상구여부 has 2466 (100.0%) missing valuesMissing
자동환기여부 has 2466 (100.0%) missing valuesMissing
청소년실여부 has 2466 (100.0%) missing valuesMissing
특수조명여부 has 2466 (100.0%) missing valuesMissing
방음시설여부 has 2466 (100.0%) missing valuesMissing
비디오재생기명 has 2466 (100.0%) missing valuesMissing
조명시설유무 has 2466 (100.0%) missing valuesMissing
음향시설여부 has 2466 (100.0%) missing valuesMissing
편의시설여부 has 2466 (100.0%) missing valuesMissing
소방시설여부 has 2466 (100.0%) missing valuesMissing
기존게임업외업종명 has 2466 (100.0%) missing valuesMissing
제공게임물명 has 2466 (100.0%) missing valuesMissing
공연장형태구분명 has 2466 (100.0%) missing valuesMissing
품목명 has 2466 (100.0%) missing valuesMissing
최초등록시점 has 2466 (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 211 (8.6%) zerosZeros
시설면적 has 176 (7.1%) zerosZeros
지상층수 has 211 (8.6%) zerosZeros

Reproduction

Analysis started2023-12-10 20:03:21.606055
Analysis finished2023-12-10 20:03:23.592329
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2466
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1233.5
Minimum1
Maximum2466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:23.693560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile124.25
Q1617.25
median1233.5
Q31849.75
95-th percentile2342.75
Maximum2466
Range2465
Interquartile range (IQR)1232.5

Descriptive statistics

Standard deviation712.0172
Coefficient of variation (CV)0.57723324
Kurtosis-1.2
Mean1233.5
Median Absolute Deviation (MAD)616.5
Skewness0
Sum3041811
Variance506968.5
MonotonicityStrictly increasing
2023-12-11T05:03:23.871112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1648 1
 
< 0.1%
1641 1
 
< 0.1%
1642 1
 
< 0.1%
1643 1
 
< 0.1%
1644 1
 
< 0.1%
1645 1
 
< 0.1%
1646 1
 
< 0.1%
1647 1
 
< 0.1%
1649 1
 
< 0.1%
Other values (2456) 2456
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 (%)
2466 1
< 0.1%
2465 1
< 0.1%
2464 1
< 0.1%
2463 1
< 0.1%
2462 1
< 0.1%
2461 1
< 0.1%
2460 1
< 0.1%
2459 1
< 0.1%
2458 1
< 0.1%
2457 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
출판사
2466 

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 2466
100.0%

Length

2023-12-11T05:03:24.022019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:24.133931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2466
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
04_17_01_P
2466 

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 2466
100.0%

Length

2023-12-11T05:03:24.274979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:24.399245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2466
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440137.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:24.521720image/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 deviation23650.199
Coefficient of variation (CV)0.0068747822
Kurtosis-1.5286107
Mean3440137.9
Median Absolute Deviation (MAD)20000
Skewness-0.057710754
Sum8.48338 × 109
Variance5.593319 × 108
MonotonicityIncreasing
2023-12-11T05:03:24.703269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 647
26.2%
3460000 541
21.9%
3470000 333
13.5%
3420000 299
12.1%
3450000 260
10.5%
3440000 223
 
9.0%
3430000 84
 
3.4%
3480000 79
 
3.2%
ValueCountFrequency (%)
3410000 647
26.2%
3420000 299
12.1%
3430000 84
 
3.4%
3440000 223
 
9.0%
3450000 260
10.5%
3460000 541
21.9%
3470000 333
13.5%
3480000 79
 
3.2%
ValueCountFrequency (%)
3480000 79
 
3.2%
3470000 333
13.5%
3460000 541
21.9%
3450000 260
10.5%
3440000 223
 
9.0%
3430000 84
 
3.4%
3420000 299
12.1%
3410000 647
26.2%

관리번호
Text

Distinct837
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-11T05:03:25.000563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters49320
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

Unique317 ?
Unique (%)12.9%

Sample

1st rowCDFG1251001996000012
2nd rowCDFG1251001990000004
3rd rowCDFG1251001989000004
4th rowCDFG1251002001000018
5th rowCDFG1251002001000021
ValueCountFrequency (%)
cdfg1251002022000001 8
 
0.3%
cdfg1251002016000003 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
cdfg1251002019000007 8
 
0.3%
cdfg1251002021000003 8
 
0.3%
cdfg1251002021000005 8
 
0.3%
cdfg1251002019000006 8
 
0.3%
cdfg1251002020000001 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
cdfg1251002009000001 8
 
0.3%
Other values (827) 2386
96.8%
2023-12-11T05:03:25.467587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19201
38.9%
1 7908
16.0%
2 6143
 
12.5%
5 2943
 
6.0%
C 2466
 
5.0%
D 2466
 
5.0%
F 2466
 
5.0%
G 2466
 
5.0%
9 884
 
1.8%
3 585
 
1.2%
Other values (4) 1792
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39456
80.0%
Uppercase Letter 9864
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19201
48.7%
1 7908
20.0%
2 6143
 
15.6%
5 2943
 
7.5%
9 884
 
2.2%
3 585
 
1.5%
4 473
 
1.2%
6 450
 
1.1%
8 448
 
1.1%
7 421
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 2466
25.0%
D 2466
25.0%
F 2466
25.0%
G 2466
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39456
80.0%
Latin 9864
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19201
48.7%
1 7908
20.0%
2 6143
 
15.6%
5 2943
 
7.5%
9 884
 
2.2%
3 585
 
1.5%
4 473
 
1.2%
6 450
 
1.1%
8 448
 
1.1%
7 421
 
1.1%
Latin
ValueCountFrequency (%)
C 2466
25.0%
D 2466
25.0%
F 2466
25.0%
G 2466
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19201
38.9%
1 7908
16.0%
2 6143
 
12.5%
5 2943
 
6.0%
C 2466
 
5.0%
D 2466
 
5.0%
F 2466
 
5.0%
G 2466
 
5.0%
9 884
 
1.8%
3 585
 
1.2%
Other values (4) 1792
 
3.6%

인허가일자
Real number (ℝ)

Distinct1972
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111566
Minimum19641012
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:25.675729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641012
5-th percentile19943441
Q120070203
median20120922
Q320180413
95-th percentile20210915
Maximum20220630
Range579618
Interquartile range (IQR)110209.5

Descriptive statistics

Standard deviation84600.312
Coefficient of variation (CV)0.0042065502
Kurtosis1.8580893
Mean20111566
Median Absolute Deviation (MAD)59484
Skewness-1.1718475
Sum4.9595121 × 1010
Variance7.1572127 × 109
MonotonicityNot monotonic
2023-12-11T05:03:25.863810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120620 6
 
0.2%
20120723 5
 
0.2%
20120221 5
 
0.2%
20101118 5
 
0.2%
20120626 4
 
0.2%
20120425 4
 
0.2%
20120704 4
 
0.2%
20111116 4
 
0.2%
20120131 4
 
0.2%
20180105 4
 
0.2%
Other values (1962) 2421
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 (%)
20220630 1
< 0.1%
20220624 2
0.1%
20220623 1
< 0.1%
20220622 1
< 0.1%
20220620 1
< 0.1%
20220617 1
< 0.1%
20220616 2
0.1%
20220615 2
0.1%
20220613 1
< 0.1%
20220608 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing2459
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20131986
Minimum20091103
Maximum20170216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:26.043957image/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
2023-12-11T05:03:26.207342image/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) 2459
99.7%
ValueCountFrequency (%)
20091103 1
< 0.1%
20120127 1
< 0.1%
20130402 1
< 0.1%
20130611 1
< 0.1%
20130719 1
< 0.1%
20150725 1
< 0.1%
20170216 1
< 0.1%
ValueCountFrequency (%)
20170216 1
< 0.1%
20150725 1
< 0.1%
20130719 1
< 0.1%
20130611 1
< 0.1%
20130402 1
< 0.1%
20120127 1
< 0.1%
20091103 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
1
1805 
3
561 
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 1805
73.2%
3 561
 
22.7%
4 99
 
4.0%
2 1
 
< 0.1%

Length

2023-12-11T05:03:26.392003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:26.533255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1805
73.2%
3 561
 
22.7%
4 99
 
4.0%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
영업/정상
1805 
폐업
561 
취소/말소/만료/정지/중지
 
99
휴업
 
1

Length

Max length14
Median length5
Mean length4.6776156
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 1805
73.2%
폐업 561
 
22.7%
취소/말소/만료/정지/중지 99
 
4.0%
휴업 1
 
< 0.1%

Length

2023-12-11T05:03:26.673755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:26.823326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1805
73.2%
폐업 561
 
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%
Mean11.568532
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:26.955421image/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 deviation6.1982435
Coefficient of variation (CV)0.53578479
Kurtosis4.8617196
Mean11.568532
Median Absolute Deviation (MAD)0
Skewness1.3225796
Sum28528
Variance38.418222
MonotonicityNot monotonic
2023-12-11T05:03:27.082823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1803
73.1%
3 560
 
22.7%
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%
3 560
 
22.7%
13 1803
73.1%
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 1803
73.1%
3 560
 
22.7%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
영업중
1803 
폐업
560 
직권말소
 
72
허가취소
 
19
신고취소
 
7
Other values (4)
 
5

Length

Max length5
Median length3
Mean length2.8126521
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1803
73.1%
폐업 560
 
22.7%
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

2023-12-11T05:03:27.244180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:27.437891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1803
73.1%
폐업 560
 
22.7%
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 

Distinct499
Distinct (%)79.5%
Missing1838
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean20140889
Minimum19981223
Maximum20220628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:27.625554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981223
5-th percentile20044340
Q120100619
median20151012
Q320180131
95-th percentile20211027
Maximum20220628
Range239405
Interquartile range (IQR)79511.75

Descriptive statistics

Standard deviation52919.42
Coefficient of variation (CV)0.0026274619
Kurtosis-0.71455137
Mean20140889
Median Absolute Deviation (MAD)39308
Skewness-0.52529329
Sum1.2648478 × 1010
Variance2.800465 × 109
MonotonicityNot monotonic
2023-12-11T05:03:27.831771image/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 (489) 533
 
21.6%
(Missing) 1838
74.5%
ValueCountFrequency (%)
19981223 1
< 0.1%
20010103 1
< 0.1%
20010802 1
< 0.1%
20030206 1
< 0.1%
20030318 1
< 0.1%
20030324 1
< 0.1%
20030325 1
< 0.1%
20030408 1
< 0.1%
20030423 1
< 0.1%
20030509 1
< 0.1%
ValueCountFrequency (%)
20220628 1
< 0.1%
20220624 1
< 0.1%
20220617 1
< 0.1%
20220608 1
< 0.1%
20220602 1
< 0.1%
20220429 1
< 0.1%
20220411 1
< 0.1%
20220408 1
< 0.1%
20220329 1
< 0.1%
20220323 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2465 
20200401
 
1

Length

Max length8
Median length4
Mean length4.0016221
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> 2465
> 99.9%
20200401 1
 
< 0.1%

Length

2023-12-11T05:03:28.003306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:28.153156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2465
> 99.9%
20200401 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2465 
20200930
 
1

Length

Max length8
Median length4
Mean length4.0016221
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> 2465
> 99.9%
20200930 1
 
< 0.1%

Length

2023-12-11T05:03:28.316885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:28.735219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2465
> 99.9%
20200930 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

소재지전화
Text

MISSING 

Distinct1355
Distinct (%)96.0%
Missing1055
Missing (%)42.8%
Memory size19.4 KiB
2023-12-11T05:03:28.969828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.501063
Min length1

Characters and Unicode

Total characters14817
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

Unique1318 ?
Unique (%)93.4%

Sample

1st row253-7060
2nd row423-8205
3rd row252-9763
4th row255-5110,1
5th row425-0005
ValueCountFrequency (%)
000-0000 14
 
1.0%
952-5252 4
 
0.3%
0 4
 
0.3%
053-961-6126 3
 
0.2%
053-246-9344 3
 
0.2%
053-794-7022 3
 
0.2%
053-588-2500 2
 
0.1%
252-9918 2
 
0.1%
053-252-6737 2
 
0.1%
1800-6505 2
 
0.1%
Other values (1344) 1372
97.2%
2023-12-11T05:03:29.469815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2131
14.4%
5 2096
14.1%
0 2010
13.6%
3 1647
11.1%
2 1433
9.7%
7 1060
7.2%
4 1053
7.1%
6 996
6.7%
1 882
6.0%
8 739
 
5.0%
Other values (5) 770
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12631
85.2%
Dash Punctuation 2131
 
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 2096
16.6%
0 2010
15.9%
3 1647
13.0%
2 1433
11.3%
7 1060
8.4%
4 1053
8.3%
6 996
7.9%
1 882
7.0%
8 739
 
5.9%
9 715
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 2131
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 14817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2131
14.4%
5 2096
14.1%
0 2010
13.6%
3 1647
11.1%
2 1433
9.7%
7 1060
7.2%
4 1053
7.1%
6 996
6.7%
1 882
6.0%
8 739
 
5.0%
Other values (5) 770
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2131
14.4%
5 2096
14.1%
0 2010
13.6%
3 1647
11.1%
2 1433
9.7%
7 1060
7.2%
4 1053
7.1%
6 996
6.7%
1 882
6.0%
8 739
 
5.0%
Other values (5) 770
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct509
Distinct (%)38.6%
Missing1146
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean703553.35
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:29.655359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700399
Q1700821
median702861
Q3705833.25
95-th percentile706850.05
Maximum711891
Range11881
Interquartile range (IQR)5012.25

Descriptive statistics

Standard deviation2738.4485
Coefficient of variation (CV)0.0038923111
Kurtosis-0.44823064
Mean703553.35
Median Absolute Deviation (MAD)2171.5
Skewness0.48228875
Sum9.2869042 × 108
Variance7499100.3
MonotonicityNot monotonic
2023-12-11T05:03:29.851027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700440 92
 
3.7%
700823 36
 
1.5%
700803 29
 
1.2%
700831 24
 
1.0%
700802 14
 
0.6%
700413 14
 
0.6%
700813 12
 
0.5%
706822 11
 
0.4%
700821 11
 
0.4%
700809 9
 
0.4%
Other values (499) 1068
43.3%
(Missing) 1146
46.5%
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

Distinct1360
Distinct (%)55.4%
Missing13
Missing (%)0.5%
Memory size19.4 KiB
2023-12-11T05:03:30.274367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.150836
Min length13

Characters and Unicode

Total characters61695
Distinct characters381
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1060 ?
Unique (%)43.2%

Sample

1st row대구광역시 중구 남산동 ***-*번지
2nd row대구광역시 중구 봉산동 ***-**번지
3rd row대구광역시 중구 남산동 ***-**번지
4th row대구광역시 중구 남산동 ***-*번지
5th row대구광역시 중구 대봉동 ***-*번지
ValueCountFrequency (%)
대구광역시 2453
21.0%
번지 1907
16.3%
중구 647
 
5.5%
수성구 538
 
4.6%
533
 
4.6%
호 434
 
3.7%
달서구 332
 
2.8%
동구 299
 
2.6%
남산동 283
 
2.4%
동 261
 
2.2%
Other values (847) 3985
34.1%
2023-12-11T05:03:30.921394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 12974
21.0%
11270
18.3%
구 4906
 
8.0%
동 3080
 
5.0%
대 2849
 
4.6%
시 2508
 
4.1%
역 2468
 
4.0%
광 2460
 
4.0%
지 2087
 
3.4%
- 1907
 
3.1%
Other values (371) 15186
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35338
57.3%
Other Punctuation 12990
 
21.1%
Space Separator 11270
 
18.3%
Dash Punctuation 1907
 
3.1%
Uppercase Letter 99
 
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 4906
13.9%
동 3080
 
8.7%
대 2849
 
8.1%
시 2508
 
7.1%
역 2468
 
7.0%
광 2460
 
7.0%
지 2087
 
5.9%
번 1907
 
5.4%
성 911
 
2.6%
중 697
 
2.0%
Other values (335) 11465
32.4%
Uppercase Letter
ValueCountFrequency (%)
B 12
12.1%
A 12
12.1%
I 9
9.1%
C 8
 
8.1%
S 8
 
8.1%
E 6
 
6.1%
W 6
 
6.1%
K 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%
c 1
 
5.6%
k 1
 
5.6%
r 1
 
5.6%
p 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 12974
99.9%
, 8
 
0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
11270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1907
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 35338
57.3%
Common 26240
42.5%
Latin 117
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4906
13.9%
동 3080
 
8.7%
대 2849
 
8.1%
시 2508
 
7.1%
역 2468
 
7.0%
광 2460
 
7.0%
지 2087
 
5.9%
번 1907
 
5.4%
성 911
 
2.6%
중 697
 
2.0%
Other values (335) 11465
32.4%
Latin
ValueCountFrequency (%)
B 12
 
10.3%
A 12
 
10.3%
e 12
 
10.3%
I 9
 
7.7%
C 8
 
6.8%
S 8
 
6.8%
E 6
 
5.1%
W 6
 
5.1%
K 6
 
5.1%
T 5
 
4.3%
Other values (16) 33
28.2%
Common
ValueCountFrequency (%)
* 12974
49.4%
11270
42.9%
- 1907
 
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 35338
57.3%
ASCII 26357
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 12974
49.2%
11270
42.8%
- 1907
 
7.2%
( 36
 
0.1%
) 36
 
0.1%
B 12
 
< 0.1%
A 12
 
< 0.1%
e 12
 
< 0.1%
I 9
 
< 0.1%
C 8
 
< 0.1%
Other values (26) 81
 
0.3%
Hangul
ValueCountFrequency (%)
구 4906
13.9%
동 3080
 
8.7%
대 2849
 
8.1%
시 2508
 
7.1%
역 2468
 
7.0%
광 2460
 
7.0%
지 2087
 
5.9%
번 1907
 
5.4%
성 911
 
2.6%
중 697
 
2.0%
Other values (335) 11465
32.4%

도로명전체주소
Text

MISSING 

Distinct1890
Distinct (%)78.0%
Missing44
Missing (%)1.8%
Memory size19.4 KiB
2023-12-11T05:03:31.518709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length30.967382
Min length19

Characters and Unicode

Total characters75003
Distinct characters421
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1617 ?
Unique (%)66.8%

Sample

1st row대구광역시 중구 달구벌대로 **** (남산동)
2nd row대구광역시 중구 명륜로*길 ** (남산동)
3rd row대구광역시 중구 명륜로 * (남산동)
4th row대구광역시 중구 명륜로 *** (대봉동)
5th row대구광역시 중구 명륜로**길 ** (봉산동)
ValueCountFrequency (%)
2431
 
16.5%
대구광역시 2422
 
16.5%
호 796
 
5.4%
중구 626
 
4.3%
수성구 540
 
3.7%
동 460
 
3.1%
층 400
 
2.7%
달서구 332
 
2.3%
동구 298
 
2.0%
남산동 274
 
1.9%
Other values (1425) 6135
41.7%
2023-12-11T05:03:32.362403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13121
17.5%
12551
16.7%
구 5119
 
6.8%
동 3564
 
4.8%
대 3314
 
4.4%
시 2496
 
3.3%
역 2451
 
3.3%
광 2430
 
3.2%
( 2400
 
3.2%
) 2400
 
3.2%
Other values (411) 25157
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42039
56.0%
Other Punctuation 14934
 
19.9%
Space Separator 12551
 
16.7%
Open Punctuation 2400
 
3.2%
Close Punctuation 2400
 
3.2%
Dash Punctuation 536
 
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 5119
 
12.2%
동 3564
 
8.5%
대 3314
 
7.9%
시 2496
 
5.9%
역 2451
 
5.8%
광 2430
 
5.8%
로 2309
 
5.5%
길 1159
 
2.8%
성 1084
 
2.6%
호 926
 
2.2%
Other values (373) 17187
40.9%
Uppercase Letter
ValueCountFrequency (%)
B 17
14.4%
I 12
10.2%
A 12
10.2%
C 11
9.3%
S 9
 
7.6%
T 9
 
7.6%
E 6
 
5.1%
L 5
 
4.2%
H 5
 
4.2%
W 5
 
4.2%
Other values (11) 27
22.9%
Other Punctuation
ValueCountFrequency (%)
* 13121
87.9%
, 1803
 
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 (%)
12551
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 536
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42039
56.0%
Common 32824
43.8%
Latin 140
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5119
 
12.2%
동 3564
 
8.5%
대 3314
 
7.9%
시 2496
 
5.9%
역 2451
 
5.8%
광 2430
 
5.8%
로 2309
 
5.5%
길 1159
 
2.8%
성 1084
 
2.6%
호 926
 
2.2%
Other values (373) 17187
40.9%
Latin
ValueCountFrequency (%)
B 17
12.1%
e 13
 
9.3%
I 12
 
8.6%
A 12
 
8.6%
C 11
 
7.9%
S 9
 
6.4%
T 9
 
6.4%
E 6
 
4.3%
L 5
 
3.6%
H 5
 
3.6%
Other values (17) 41
29.3%
Common
ValueCountFrequency (%)
* 13121
40.0%
12551
38.2%
( 2400
 
7.3%
) 2400
 
7.3%
, 1803
 
5.5%
- 536
 
1.6%
· 4
 
< 0.1%
~ 3
 
< 0.1%
/ 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42039
56.0%
ASCII 32960
43.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13121
39.8%
12551
38.1%
( 2400
 
7.3%
) 2400
 
7.3%
, 1803
 
5.5%
- 536
 
1.6%
B 17
 
0.1%
e 13
 
< 0.1%
I 12
 
< 0.1%
A 12
 
< 0.1%
Other values (27) 95
 
0.3%
Hangul
ValueCountFrequency (%)
구 5119
 
12.2%
동 3564
 
8.5%
대 3314
 
7.9%
시 2496
 
5.9%
역 2451
 
5.8%
광 2430
 
5.8%
로 2309
 
5.5%
길 1159
 
2.8%
성 1084
 
2.6%
호 926
 
2.2%
Other values (373) 17187
40.9%
None
ValueCountFrequency (%)
· 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1031
Distinct (%)50.2%
Missing411
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean336675.11
Minimum41001
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:32.575998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41185.7
Q141965
median42747
Q3701813.5
95-th percentile706806
Maximum711891
Range670890
Interquartile range (IQR)659848.5

Descriptive statistics

Standard deviation328654.98
Coefficient of variation (CV)0.97617841
Kurtosis-1.9540067
Mean336675.11
Median Absolute Deviation (MAD)1534
Skewness0.21856455
Sum6.9186736 × 108
Variance1.0801409 × 1011
MonotonicityNot monotonic
2023-12-11T05:03:32.783473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700831 57
 
2.3%
700823 36
 
1.5%
700802 28
 
1.1%
41965 20
 
0.8%
42699 17
 
0.7%
41966 14
 
0.6%
700832 14
 
0.6%
41958 13
 
0.5%
41919 12
 
0.5%
41260 12
 
0.5%
Other values (1021) 1832
74.3%
(Missing) 411
 
16.7%
ValueCountFrequency (%)
41001 2
0.1%
41002 1
 
< 0.1%
41005 4
0.2%
41007 1
 
< 0.1%
41009 1
 
< 0.1%
41015 1
 
< 0.1%
41022 2
0.1%
41023 1
 
< 0.1%
41026 3
0.1%
41028 2
0.1%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711873 2
0.1%
711865 1
 
< 0.1%
711857 3
0.1%
711856 1
 
< 0.1%
711853 1
 
< 0.1%
711836 1
 
< 0.1%
711832 1
 
< 0.1%
711823 2
0.1%
711822 1
 
< 0.1%

사업장명
Text

Distinct2389
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-11T05:03:33.262963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6942417
Min length1

Characters and Unicode

Total characters16508
Distinct characters760
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

Unique2317 ?
Unique (%)94.0%

Sample

1st row벧엘기획
2nd row도서출판이정표
3rd row문예사
4th row모던출판사
5th row문화춘추
ValueCountFrequency (%)
도서출판 230
 
6.9%
주식회사 106
 
3.2%
출판사 47
 
1.4%
디자인 22
 
0.7%
출판 12
 
0.4%
사단법인 10
 
0.3%
커뮤니케이션 7
 
0.2%
press 7
 
0.2%
인쇄 6
 
0.2%
books 6
 
0.2%
Other values (2647) 2868
86.4%
2023-12-11T05:03:34.067945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
855
 
5.2%
사 600
 
3.6%
판 596
 
3.6%
출 595
 
3.6%
서 358
 
2.2%
주 340
 
2.1%
도 337
 
2.0%
) 314
 
1.9%
인 313
 
1.9%
( 312
 
1.9%
Other values (750) 11888
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13470
81.6%
Space Separator 855
 
5.2%
Lowercase Letter 732
 
4.4%
Uppercase Letter 688
 
4.2%
Close Punctuation 314
 
1.9%
Open Punctuation 312
 
1.9%
Decimal Number 68
 
0.4%
Other Punctuation 58
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 600
 
4.5%
판 596
 
4.4%
출 595
 
4.4%
서 358
 
2.7%
주 340
 
2.5%
도 337
 
2.5%
인 313
 
2.3%
이 300
 
2.2%
스 286
 
2.1%
디 191
 
1.4%
Other values (676) 9554
70.9%
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%
7 2
 
2.9%
8 2
 
2.9%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 29
50.0%
& 16
27.6%
, 4
 
6.9%
' 3
 
5.2%
% 2
 
3.4%
" 2
 
3.4%
/ 1
 
1.7%
· 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
+ 1
33.3%
< 1
33.3%
Space Separator
ValueCountFrequency (%)
855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13439
81.4%
Common 1618
 
9.8%
Latin 1420
 
8.6%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 600
 
4.5%
판 596
 
4.4%
출 595
 
4.4%
서 358
 
2.7%
주 340
 
2.5%
도 337
 
2.5%
인 313
 
2.3%
이 300
 
2.2%
스 286
 
2.1%
디 191
 
1.4%
Other values (651) 9523
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 (%)
855
52.8%
) 314
 
19.4%
( 312
 
19.3%
. 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%
自 2
 
6.5%
靑 2
 
6.5%
堂 2
 
6.5%
印 2
 
6.5%
斯 1
 
3.2%
正 1
 
3.2%
江 1
 
3.2%
長 1
 
3.2%
硯 1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13436
81.4%
ASCII 3037
 
18.4%
CJK 30
 
0.2%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
855
28.2%
) 314
 
10.3%
( 312
 
10.3%
o 80
 
2.6%
e 75
 
2.5%
s 60
 
2.0%
n 59
 
1.9%
S 58
 
1.9%
i 57
 
1.9%
a 56
 
1.8%
Other values (63) 1111
36.6%
Hangul
ValueCountFrequency (%)
사 600
 
4.5%
판 596
 
4.4%
출 595
 
4.4%
서 358
 
2.7%
주 340
 
2.5%
도 337
 
2.5%
인 313
 
2.3%
이 300
 
2.2%
스 286
 
2.1%
디 191
 
1.4%
Other values (648) 9520
70.9%
CJK
ValueCountFrequency (%)
文 3
 
10.0%
自 2
 
6.7%
靑 2
 
6.7%
堂 2
 
6.7%
印 2
 
6.7%
斯 1
 
3.3%
正 1
 
3.3%
江 1
 
3.3%
長 1
 
3.3%
硯 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 

Distinct2466
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157046 × 1013
Minimum2.0021209 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:34.313862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021209 × 1013
5-th percentile2.0070124 × 1013
Q12.0130209 × 1013
median2.0161065 × 1013
Q32.0191231 × 1013
95-th percentile2.0220214 × 1013
Maximum2.022063 × 1013
Range1.9942103 × 1011
Interquartile range (IQR)6.1021681 × 1010

Descriptive statistics

Standard deviation4.591121 × 1010
Coefficient of variation (CV)0.0022776755
Kurtosis-0.11079753
Mean2.0157046 × 1013
Median Absolute Deviation (MAD)3.0848522 × 1010
Skewness-0.64029313
Sum4.9707275 × 1016
Variance2.1078392 × 1021
MonotonicityNot monotonic
2023-12-11T05:03:34.590514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113130556 1
 
< 0.1%
20210927155108 1
 
< 0.1%
20200728140045 1
 
< 0.1%
20200825090201 1
 
< 0.1%
20200823145119 1
 
< 0.1%
20200714180625 1
 
< 0.1%
20200823144618 1
 
< 0.1%
20210714173555 1
 
< 0.1%
20210715133840 1
 
< 0.1%
20210713175545 1
 
< 0.1%
Other values (2456) 2456
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 (%)
20220630175231 1
< 0.1%
20220630142715 1
< 0.1%
20220628133328 1
< 0.1%
20220628102726 1
< 0.1%
20220624174929 1
< 0.1%
20220624164001 1
< 0.1%
20220624142201 1
< 0.1%
20220624105637 1
< 0.1%
20220624095400 1
< 0.1%
20220623162128 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
I
2097 
U
369 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2097
85.0%
U 369
 
15.0%

Length

2023-12-11T05:03:34.859854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:35.021106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2097
85.0%
u 369
 
15.0%

데이터갱신일자
Date

Distinct669
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2023-12-11T05:03:35.199745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:03:35.451417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1945
Distinct (%)80.5%
Missing50
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean344154.72
Minimum327735.04
Maximum358331.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:35.664786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327735.04
5-th percentile336438.03
Q1342391.06
median344125.47
Q3346672.99
95-th percentile353433.95
Maximum358331.96
Range30596.918
Interquartile range (IQR)4281.9245

Descriptive statistics

Standard deviation4598.9763
Coefficient of variation (CV)0.013363107
Kurtosis1.205347
Mean344154.72
Median Absolute Deviation (MAD)2411.0825
Skewness-0.080926038
Sum8.314778 × 108
Variance21150583
MonotonicityNot monotonic
2023-12-11T05:03:35.889973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342774.766132 8
 
0.3%
342632.844135 8
 
0.3%
345299.742438 8
 
0.3%
346942.691097 7
 
0.3%
337648.965009 7
 
0.3%
338899.412795 6
 
0.2%
343199.085449 6
 
0.2%
344686.259338 6
 
0.2%
347883.686632 5
 
0.2%
345648.029405 5
 
0.2%
Other values (1935) 2350
95.3%
(Missing) 50
 
2.0%
ValueCountFrequency (%)
327735.044524 1
< 0.1%
327853.173809 1
< 0.1%
328100.968316 1
< 0.1%
328822.571709 1
< 0.1%
329247.390016 1
< 0.1%
329282.731288 1
< 0.1%
329807.357341 1
< 0.1%
330130.823289 1
< 0.1%
330202.0 1
< 0.1%
330493.0 2
0.1%
ValueCountFrequency (%)
358331.962448 1
 
< 0.1%
358213.056494 1
 
< 0.1%
357975.880928 1
 
< 0.1%
357888.724162 3
0.1%
357835.663303 1
 
< 0.1%
357672.59192 1
 
< 0.1%
356881.723508 1
 
< 0.1%
356698.367083 1
 
< 0.1%
356563.295271 1
 
< 0.1%
356548.207715 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1946
Distinct (%)80.5%
Missing50
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263327.88
Minimum239218.02
Maximum277949.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:36.118034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258617.27
Q1261762.95
median263489.66
Q3264655.49
95-th percentile269324.3
Maximum277949.2
Range38731.182
Interquartile range (IQR)2892.5401

Descriptive statistics

Standard deviation3523.0939
Coefficient of variation (CV)0.013379115
Kurtosis8.1241964
Mean263327.88
Median Absolute Deviation (MAD)1340.2765
Skewness-0.88279599
Sum6.3620016 × 108
Variance12412191
MonotonicityNot monotonic
2023-12-11T05:03:36.367146image/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%
261472.280465 7
 
0.3%
263989.847737 7
 
0.3%
263958.880864 6
 
0.2%
257234.537085 6
 
0.2%
263950.695637 6
 
0.2%
263697.108261 5
 
0.2%
263332.034503 5
 
0.2%
Other values (1936) 2350
95.3%
(Missing) 50
 
2.0%
ValueCountFrequency (%)
239218.020983 1
< 0.1%
240358.722944 1
< 0.1%
244495.0 1
< 0.1%
244504.0 1
< 0.1%
244632.0 1
< 0.1%
244639.0 1
< 0.1%
244716.032592 1
< 0.1%
244720.534505 1
< 0.1%
244747.0 1
< 0.1%
244962.0 1
< 0.1%
ValueCountFrequency (%)
277949.202873 1
< 0.1%
277837.416974 1
< 0.1%
277799.708684 1
< 0.1%
277700.900957 1
< 0.1%
277397.28432 1
< 0.1%
276507.527883 1
< 0.1%
275303.582391 1
< 0.1%
274473.154015 1
< 0.1%
274156.338864 1
< 0.1%
273723.417066 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
출판사
2466 

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 2466
100.0%

Length

2023-12-11T05:03:36.578620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:36.747421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2466
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
출판인쇄업
2466 

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 2466
100.0%

Length

2023-12-11T05:03:36.936487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:37.072831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2466
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.7%
Missing2092
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean1.8903743
Minimum0
Maximum21
Zeros211
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:37.198977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation3.0721901
Coefficient of variation (CV)1.6251755
Kurtosis11.376987
Mean1.8903743
Median Absolute Deviation (MAD)0
Skewness2.7776348
Sum707
Variance9.4383521
MonotonicityNot monotonic
2023-12-11T05:03:37.433464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 211
 
8.6%
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) 2092
84.8%
ValueCountFrequency (%)
0 211
8.6%
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 size19.4 KiB
<NA>
2404 
기타
 
30
아파트지역
 
14
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9947283
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> 2404
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

2023-12-11T05:03:37.763448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:37.934159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2404
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%
Missing2465
Missing (%)> 99.9%
Memory size19.4 KiB
2023-12-11T05:03:38.131106image/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%
2023-12-11T05:03:38.540778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

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

Most frequent character per script

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

Most occurring blocks

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

Most frequent character per block

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

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct303
Distinct (%)58.5%
Missing1948
Missing (%)79.0%
Infinite0
Infinite (%)0.0%
Mean111.65044
Minimum0
Maximum5188.8
Zeros176
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:38.760109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median51.66
Q3120.78
95-th percentile432.0475
Maximum5188.8
Range5188.8
Interquartile range (IQR)120.78

Descriptive statistics

Standard deviation278.94128
Coefficient of variation (CV)2.4983445
Kurtosis215.62908
Mean111.65044
Median Absolute Deviation (MAD)51.66
Skewness12.563605
Sum57834.93
Variance77808.236
MonotonicityNot monotonic
2023-12-11T05:03:38.976525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 176
 
7.1%
33.0 6
 
0.2%
66.0 4
 
0.2%
115.0 3
 
0.1%
84.99 3
 
0.1%
42.0 3
 
0.1%
30.0 3
 
0.1%
164.02 2
 
0.1%
51.66 2
 
0.1%
40.0 2
 
0.1%
Other values (293) 314
 
12.7%
(Missing) 1948
79.0%
ValueCountFrequency (%)
0.0 176
7.1%
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 (%)4.1%
Missing2024
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean2.0520362
Minimum0
Maximum24
Zeros211
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size21.8 KiB
2023-12-11T05:03:39.189484image/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 deviation3.1463917
Coefficient of variation (CV)1.5333022
Kurtosis13.213019
Mean2.0520362
Median Absolute Deviation (MAD)1
Skewness3.0425824
Sum907
Variance9.8997804
MonotonicityNot monotonic
2023-12-11T05:03:39.373581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 211
 
8.6%
2 50
 
2.0%
3 46
 
1.9%
4 43
 
1.7%
1 34
 
1.4%
5 26
 
1.1%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
15 3
 
0.1%
Other values (8) 12
 
0.5%
(Missing) 2024
82.1%
ValueCountFrequency (%)
0 211
8.6%
1 34
 
1.4%
2 50
 
2.0%
3 46
 
1.9%
4 43
 
1.7%
5 26
 
1.1%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
18 2
0.1%
15 3
0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 3
0.1%
9 2
0.1%
8 4
0.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2185 
0
 
216
1
 
60
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.6581509
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> 2185
88.6%
0 216
 
8.8%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2023-12-11T05:03:39.572134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:39.724688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2185
88.6%
0 216
 
8.8%
1 60
 
2.4%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2119 
근린생활시설
236 
아파트
 
40
사무실
 
25
단독주택
 
23
Other values (8)
 
23

Length

Max length15
Median length4
Mean length4.2027575
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> 2119
85.9%
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

2023-12-11T05:03:40.363408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2119
85.7%
근린생활시설 236
 
9.5%
아파트 40
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 9
 
0.4%
다가구용 6
 
0.2%
주택(공동주택적용 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
Other values (4) 4
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2251 
0
 
215

Length

Max length4
Median length4
Mean length3.7384428
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> 2251
91.3%
0 215
 
8.7%

Length

2023-12-11T05:03:40.565935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:40.728022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2251
91.3%
0 215
 
8.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2251 
0
 
215

Length

Max length4
Median length4
Mean length3.7384428
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> 2251
91.3%
0 215
 
8.7%

Length

2023-12-11T05:03:40.878741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:41.021557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2251
91.3%
0 215
 
8.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2251 
0
 
215

Length

Max length4
Median length4
Mean length3.7384428
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> 2251
91.3%
0 215
 
8.7%

Length

2023-12-11T05:03:41.197797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:41.347464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2251
91.3%
0 215
 
8.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2251 
0
 
215

Length

Max length4
Median length4
Mean length3.7384428
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> 2251
91.3%
0 215
 
8.7%

Length

2023-12-11T05:03:41.522226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:41.686652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2251
91.3%
0 215
 
8.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2251 
0
 
215

Length

Max length4
Median length4
Mean length3.7384428
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> 2251
91.3%
0 215
 
8.7%

Length

2023-12-11T05:03:41.848763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:42.006544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2251
91.3%
0 215
 
8.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2466
Missing (%)100.0%
Memory size21.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
<NA>
2240 
일반주거지역
 
105
주거지역
 
34
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
41

Length

Max length6
Median length4
Mean length4.1459854
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> 2240
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

2023-12-11T05:03:42.152385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2240
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_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>
12출판사04_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>
23출판사04_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>
34출판사04_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>
45출판사04_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>
56출판사04_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>
67출판사04_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>
78출판사04_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
89출판사04_17_01_P3410000CDFG125100201100000520110224<NA>1영업/정상13영업중<NA><NA><NA><NA>255-3101<NA>700440대구광역시 중구 남산동 ***-**번지대구광역시 중구 명륜로 **-* (남산동)700831삼영출판사20111205111351I2018-08-31 23:59:59.0<NA>343509.01618263751.811434출판사출판인쇄업<NA><NA><NA><NA><NA><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_P3410000CDFG125100201400002520141216<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-0994<NA>700432대구광역시 중구 대봉동 ***-**번지대구광역시 중구 이천로 ***-* (대봉동)700432(주)훈민커뮤니케이션20141216180212I2018-08-31 23:59:59.0<NA>344346.631878263107.173684출판사출판인쇄업<NA><NA><NA><NA><NA><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
24562457출판사04_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>
24572458출판사04_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>
24582459출판사04_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>
24592460출판사04_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>
24602461출판사04_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>
24612462출판사04_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>
24622463출판사04_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>
24632464출판사04_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>
24642465출판사04_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>
24652466출판사04_17_01_P3480000CDFG125100202100000920210824<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천본길 **-*42922도서출판 크로스20210824142055I2021-08-26 00:22:50.0<NA>333453.82141265039.965483출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>