Overview

Dataset statistics

Number of variables59
Number of observations1476
Missing cells40928
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory739.6 KiB
Average record size in memory513.1 B

Variable types

Numeric15
Categorical14
Text6
Unsupported23
DateTime1

Dataset

Description6270000_대구광역시_03_05_07_P_청소년게임제공업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086585&dataSetDetailId=DDI_0000086603&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지하층수 is highly imbalanced (70.9%)Imbalance
건물용도명 is highly imbalanced (69.3%)Imbalance
제공게임물명 is highly imbalanced (89.8%)Imbalance
인허가취소일자 has 1170 (79.3%) missing valuesMissing
폐업일자 has 632 (42.8%) missing valuesMissing
휴업시작일자 has 1476 (100.0%) missing valuesMissing
휴업종료일자 has 1476 (100.0%) missing valuesMissing
재개업일자 has 1476 (100.0%) missing valuesMissing
소재지전화 has 1342 (90.9%) missing valuesMissing
소재지면적 has 1476 (100.0%) missing valuesMissing
소재지우편번호 has 1326 (89.8%) missing valuesMissing
도로명전체주소 has 17 (1.2%) missing valuesMissing
도로명우편번호 has 494 (33.5%) missing valuesMissing
업태구분명 has 1476 (100.0%) missing valuesMissing
총층수 has 84 (5.7%) missing valuesMissing
제작취급품목내용 has 424 (28.7%) missing valuesMissing
지상층수 has 109 (7.4%) missing valuesMissing
통로너비 has 1476 (100.0%) missing valuesMissing
조명시설조도 has 1211 (82.0%) missing valuesMissing
노래방실수 has 1476 (100.0%) missing valuesMissing
청소년실수 has 1476 (100.0%) missing valuesMissing
비상계단여부 has 1476 (100.0%) missing valuesMissing
비상구여부 has 1476 (100.0%) missing valuesMissing
자동환기여부 has 1476 (100.0%) missing valuesMissing
청소년실여부 has 1476 (100.0%) missing valuesMissing
특수조명여부 has 1476 (100.0%) missing valuesMissing
방음시설여부 has 1476 (100.0%) missing valuesMissing
비디오재생기명 has 1476 (100.0%) missing valuesMissing
조명시설유무 has 1476 (100.0%) missing valuesMissing
음향시설여부 has 1476 (100.0%) missing valuesMissing
편의시설여부 has 1476 (100.0%) missing valuesMissing
소방시설여부 has 1476 (100.0%) missing valuesMissing
총게임기수 has 157 (10.6%) missing valuesMissing
기존게임업외업종명 has 1476 (100.0%) missing valuesMissing
공연장형태구분명 has 1476 (100.0%) missing valuesMissing
품목명 has 1476 (100.0%) missing valuesMissing
최초등록시점 has 1476 (100.0%) missing valuesMissing
지상층수 is highly skewed (γ1 = 27.20347565)Skewed
번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
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

Reproduction

Analysis started2023-12-10 20:52:09.790389
Analysis finished2023-12-10 20:52:11.774545
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1476
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean738.5
Minimum1
Maximum1476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:11.952874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile74.75
Q1369.75
median738.5
Q31107.25
95-th percentile1402.25
Maximum1476
Range1475
Interquartile range (IQR)737.5

Descriptive statistics

Standard deviation426.22881
Coefficient of variation (CV)0.57715479
Kurtosis-1.2
Mean738.5
Median Absolute Deviation (MAD)369
Skewness0
Sum1090026
Variance181671
MonotonicityStrictly increasing
2023-12-11T05:52:12.463245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
983 1
 
0.1%
992 1
 
0.1%
991 1
 
0.1%
990 1
 
0.1%
989 1
 
0.1%
988 1
 
0.1%
987 1
 
0.1%
986 1
 
0.1%
985 1
 
0.1%
Other values (1466) 1466
99.3%
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 (%)
1476 1
0.1%
1475 1
0.1%
1474 1
0.1%
1473 1
0.1%
1472 1
0.1%
1471 1
0.1%
1470 1
0.1%
1469 1
0.1%
1468 1
0.1%
1467 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
청소년게임제공업
1476 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 1476
100.0%

Length

2023-12-11T05:52:12.857581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:12.997433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 1476
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
03_05_07_P
1476 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_07_P
2nd row03_05_07_P
3rd row03_05_07_P
4th row03_05_07_P
5th row03_05_07_P

Common Values

ValueCountFrequency (%)
03_05_07_P 1476
100.0%

Length

2023-12-11T05:52:13.231895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:13.455239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_07_p 1476
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446741.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:13.644470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21760.252
Coefficient of variation (CV)0.0063132828
Kurtosis-1.2946522
Mean3446741.2
Median Absolute Deviation (MAD)20000
Skewness-0.15245249
Sum5.08739 × 109
Variance4.7350857 × 108
MonotonicityIncreasing
2023-12-11T05:52:13.885101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 355
24.1%
3450000 243
16.5%
3430000 235
15.9%
3420000 197
13.3%
3460000 137
 
9.3%
3410000 118
 
8.0%
3480000 99
 
6.7%
3440000 92
 
6.2%
ValueCountFrequency (%)
3410000 118
 
8.0%
3420000 197
13.3%
3430000 235
15.9%
3440000 92
 
6.2%
3450000 243
16.5%
3460000 137
 
9.3%
3470000 355
24.1%
3480000 99
 
6.7%
ValueCountFrequency (%)
3480000 99
 
6.7%
3470000 355
24.1%
3460000 137
 
9.3%
3450000 243
16.5%
3440000 92
 
6.2%
3430000 235
15.9%
3420000 197
13.3%
3410000 118
 
8.0%
Distinct374
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023-12-11T05:52:14.238548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters29520
Distinct characters13
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

Unique79 ?
Unique (%)5.4%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000007
3rd rowCDFF2241142007000008
4th rowCDFF2241142007000009
5th rowCDFF2241142008000001
ValueCountFrequency (%)
cdff2241142007000001 8
 
0.5%
cdff2241142014000003 8
 
0.5%
cdff2241142008000013 8
 
0.5%
cdff2241142016000001 8
 
0.5%
cdff2241142011000001 8
 
0.5%
cdff2241142016000002 8
 
0.5%
cdff2241142013000001 8
 
0.5%
cdff2241142008000003 8
 
0.5%
cdff2241142010000002 8
 
0.5%
cdff2241142008000006 8
 
0.5%
Other values (364) 1396
94.6%
2023-12-11T05:52:14.791351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8830
29.9%
2 4895
16.6%
1 4741
16.1%
4 3225
 
10.9%
F 2952
 
10.0%
C 1476
 
5.0%
D 1476
 
5.0%
8 467
 
1.6%
7 332
 
1.1%
3 319
 
1.1%
Other values (3) 807
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23616
80.0%
Uppercase Letter 5904
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8830
37.4%
2 4895
20.7%
1 4741
20.1%
4 3225
 
13.7%
8 467
 
2.0%
7 332
 
1.4%
3 319
 
1.4%
6 316
 
1.3%
9 269
 
1.1%
5 222
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 2952
50.0%
C 1476
25.0%
D 1476
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23616
80.0%
Latin 5904
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8830
37.4%
2 4895
20.7%
1 4741
20.1%
4 3225
 
13.7%
8 467
 
2.0%
7 332
 
1.4%
3 319
 
1.4%
6 316
 
1.3%
9 269
 
1.1%
5 222
 
0.9%
Latin
ValueCountFrequency (%)
F 2952
50.0%
C 1476
25.0%
D 1476
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8830
29.9%
2 4895
16.6%
1 4741
16.1%
4 3225
 
10.9%
F 2952
 
10.0%
C 1476
 
5.0%
D 1476
 
5.0%
8 467
 
1.6%
7 332
 
1.1%
3 319
 
1.1%
Other values (3) 807
 
2.7%

인허가일자
Real number (ℝ)

Distinct1004
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20128867
Minimum20070523
Maximum20201014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:15.025617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070523
5-th percentile20080402
Q120090720
median20121126
Q320161208
95-th percentile20190544
Maximum20201014
Range130491
Interquartile range (IQR)70488.5

Descriptive statistics

Standard deviation39007.903
Coefficient of variation (CV)0.0019379085
Kurtosis-1.3495514
Mean20128867
Median Absolute Deviation (MAD)39902.5
Skewness0.11352792
Sum2.9710208 × 1010
Variance1.5216165 × 109
MonotonicityNot monotonic
2023-12-11T05:52:15.539535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071120 10
 
0.7%
20071115 9
 
0.6%
20071116 8
 
0.5%
20080707 8
 
0.5%
20080709 7
 
0.5%
20071119 7
 
0.5%
20080723 7
 
0.5%
20080717 7
 
0.5%
20100325 6
 
0.4%
20200122 6
 
0.4%
Other values (994) 1401
94.9%
ValueCountFrequency (%)
20070523 1
0.1%
20070816 1
0.1%
20070903 1
0.1%
20071010 1
0.1%
20071025 1
0.1%
20071031 1
0.1%
20071102 1
0.1%
20071105 1
0.1%
20071106 1
0.1%
20071107 1
0.1%
ValueCountFrequency (%)
20201014 1
0.1%
20200911 1
0.1%
20200827 1
0.1%
20200825 1
0.1%
20200821 1
0.1%
20200720 1
0.1%
20200713 1
0.1%
20200624 1
0.1%
20200623 1
0.1%
20200618 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct267
Distinct (%)87.3%
Missing1170
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean20137324
Minimum20080416
Maximum20200922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:15.845591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080416
5-th percentile20081115
Q120110212
median20140666
Q320167888
95-th percentile20191014
Maximum20200922
Range120506
Interquartile range (IQR)57675.5

Descriptive statistics

Standard deviation36047.177
Coefficient of variation (CV)0.0017900679
Kurtosis-1.1986144
Mean20137324
Median Absolute Deviation (MAD)30253.5
Skewness0.033223689
Sum6.1620211 × 109
Variance1.2993989 × 109
MonotonicityNot monotonic
2023-12-11T05:52:16.086572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150106 4
 
0.3%
20110211 3
 
0.2%
20081224 3
 
0.2%
20081023 3
 
0.2%
20190725 3
 
0.2%
20110418 3
 
0.2%
20110302 3
 
0.2%
20081211 2
 
0.1%
20111230 2
 
0.1%
20110323 2
 
0.1%
Other values (257) 278
 
18.8%
(Missing) 1170
79.3%
ValueCountFrequency (%)
20080416 1
 
0.1%
20080731 1
 
0.1%
20080903 1
 
0.1%
20080909 1
 
0.1%
20080917 1
 
0.1%
20080922 1
 
0.1%
20081002 1
 
0.1%
20081014 2
0.1%
20081023 3
0.2%
20081028 1
 
0.1%
ValueCountFrequency (%)
20200922 1
0.1%
20200805 1
0.1%
20200730 1
0.1%
20200706 1
0.1%
20200619 1
0.1%
20200506 1
0.1%
20200429 1
0.1%
20200424 1
0.1%
20200319 1
0.1%
20191209 1
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
3
755 
4
395 
1
326 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 755
51.2%
4 395
26.8%
1 326
22.1%

Length

2023-12-11T05:52:16.323364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:16.496716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 755
51.2%
4 395
26.8%
1 326
22.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
폐업
755 
취소/말소/만료/정지/중지
395 
영업/정상
326 

Length

Max length14
Median length2
Mean length5.8739837
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 755
51.2%
취소/말소/만료/정지/중지 395
26.8%
영업/정상 326
22.1%

Length

2023-12-11T05:52:16.663599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:16.830055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 755
51.2%
취소/말소/만료/정지/중지 395
26.8%
영업/정상 326
22.1%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
3
754 
13
326 
31
306 
35
89 
34
 
1

Length

Max length2
Median length1
Mean length1.4891599
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 754
51.1%
13 326
22.1%
31 306
20.7%
35 89
 
6.0%
34 1
 
0.1%

Length

2023-12-11T05:52:17.034234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:17.185416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 754
51.1%
13 326
22.1%
31 306
20.7%
35 89
 
6.0%
34 1
 
0.1%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
폐업
754 
영업중
326 
등록취소
306 
직권말소
89 
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.7581301
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 754
51.1%
영업중 326
22.1%
등록취소 306
20.7%
직권말소 89
 
6.0%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T05:52:17.369752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:17.520668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 754
51.1%
영업중 326
22.1%
등록취소 306
20.7%
직권말소 89
 
6.0%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct683
Distinct (%)80.9%
Missing632
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean20138574
Minimum20071226
Maximum20201023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:17.728130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071226
5-th percentile20081017
Q120100825
median20131125
Q320180317
95-th percentile20200499
Maximum20201023
Range129797
Interquartile range (IQR)79491.75

Descriptive statistics

Standard deviation39641.792
Coefficient of variation (CV)0.0019684508
Kurtosis-1.3452005
Mean20138574
Median Absolute Deviation (MAD)39444.5
Skewness0.075822216
Sum1.6996957 × 1010
Variance1.5714717 × 109
MonotonicityNot monotonic
2023-12-11T05:52:17.938032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100209 5
 
0.3%
20190430 4
 
0.3%
20141117 4
 
0.3%
20130530 3
 
0.2%
20171011 3
 
0.2%
20090123 3
 
0.2%
20130521 3
 
0.2%
20081006 3
 
0.2%
20081210 3
 
0.2%
20200715 3
 
0.2%
Other values (673) 810
54.9%
(Missing) 632
42.8%
ValueCountFrequency (%)
20071226 1
0.1%
20080114 1
0.1%
20080303 1
0.1%
20080310 1
0.1%
20080321 1
0.1%
20080325 1
0.1%
20080701 1
0.1%
20080717 1
0.1%
20080813 1
0.1%
20080814 2
0.1%
ValueCountFrequency (%)
20201023 1
0.1%
20201021 1
0.1%
20201019 1
0.1%
20201016 1
0.1%
20200924 1
0.1%
20200916 1
0.1%
20200915 1
0.1%
20200914 1
0.1%
20200910 1
0.1%
20200909 2
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

소재지전화
Text

MISSING 

Distinct129
Distinct (%)96.3%
Missing1342
Missing (%)90.9%
Memory size11.7 KiB
2023-12-11T05:52:18.327075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.6940299
Min length7

Characters and Unicode

Total characters1299
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)94.0%

Sample

1st row422-7391
2nd row424-3635
3rd row053-609-3055
4th row424-9287
5th row053-423-1042
ValueCountFrequency (%)
053-620-0001 4
 
3.0%
620-0210 2
 
1.5%
614-2138 2
 
1.5%
053-616-1831 1
 
0.7%
053-752-0223 1
 
0.7%
638-3382 1
 
0.7%
631-1816 1
 
0.7%
6353340 1
 
0.7%
5210339 1
 
0.7%
6538830 1
 
0.7%
Other values (120) 120
88.9%
2023-12-11T05:52:18.940024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
14.2%
0 172
13.2%
5 162
12.5%
3 133
10.2%
2 115
8.9%
1 105
8.1%
6 99
7.6%
7 98
7.5%
8 87
6.7%
4 77
5.9%
Other values (3) 67
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1113
85.7%
Dash Punctuation 184
 
14.2%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
15.5%
5 162
14.6%
3 133
11.9%
2 115
10.3%
1 105
9.4%
6 99
8.9%
7 98
8.8%
8 87
7.8%
4 77
6.9%
9 65
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1299
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
14.2%
0 172
13.2%
5 162
12.5%
3 133
10.2%
2 115
8.9%
1 105
8.1%
6 99
7.6%
7 98
7.5%
8 87
6.7%
4 77
5.9%
Other values (3) 67
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
14.2%
0 172
13.2%
5 162
12.5%
3 133
10.2%
2 115
8.9%
1 105
8.1%
6 99
7.6%
7 98
7.5%
8 87
6.7%
4 77
5.9%
Other values (3) 67
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)65.3%
Missing1326
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean703911.03
Minimum700091
Maximum711852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:19.206428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700091
5-th percentile701044.5
Q1701841
median703803.5
Q3704935
95-th percentile711832.65
Maximum711852
Range11761
Interquartile range (IQR)3094

Descriptive statistics

Standard deviation2587.436
Coefficient of variation (CV)0.0036757999
Kurtosis2.9136611
Mean703911.03
Median Absolute Deviation (MAD)1138.5
Skewness1.5664402
Sum1.0558665 × 108
Variance6694825.3
MonotonicityNot monotonic
2023-12-11T05:52:19.423805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702886 5
 
0.3%
701808 4
 
0.3%
704942 4
 
0.3%
702894 4
 
0.3%
711834 4
 
0.3%
704940 4
 
0.3%
701829 4
 
0.3%
702825 3
 
0.2%
704948 3
 
0.2%
701230 3
 
0.2%
Other values (88) 112
 
7.6%
(Missing) 1326
89.8%
ValueCountFrequency (%)
700091 1
0.1%
700210 1
0.1%
700423 1
0.1%
700440 1
0.1%
700802 1
0.1%
700805 1
0.1%
700823 1
0.1%
701040 1
0.1%
701050 1
0.1%
701110 2
0.1%
ValueCountFrequency (%)
711852 3
0.2%
711835 1
 
0.1%
711834 4
0.3%
711831 1
 
0.1%
706840 1
 
0.1%
706839 1
 
0.1%
706837 1
 
0.1%
706829 1
 
0.1%
706822 1
 
0.1%
706807 1
 
0.1%
Distinct1279
Distinct (%)86.7%
Missing1
Missing (%)0.1%
Memory size11.7 KiB
2023-12-11T05:52:19.978122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length24.518644
Min length17

Characters and Unicode

Total characters36165
Distinct characters229
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

Unique1131 ?
Unique (%)76.7%

Sample

1st row대구광역시 중구 남산동 698-22번지
2nd row대구광역시 중구 동성로2가 85-5번지
3rd row대구광역시 중구 공평동 59-2번지
4th row대구광역시 중구 사일동 15-1번지
5th row대구광역시 중구 태평로1가 9-1번지
ValueCountFrequency (%)
대구광역시 1475
21.7%
달서구 354
 
5.2%
북구 243
 
3.6%
서구 235
 
3.5%
동구 197
 
2.9%
2층 180
 
2.6%
1층 148
 
2.2%
수성구 137
 
2.0%
중구 118
 
1.7%
달성군 99
 
1.5%
Other values (1398) 3610
53.1%
2023-12-11T05:52:20.759783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6765
18.7%
2862
 
7.9%
1 1821
 
5.0%
1656
 
4.6%
1616
 
4.5%
1585
 
4.4%
1482
 
4.1%
1476
 
4.1%
1475
 
4.1%
1390
 
3.8%
Other values (219) 14037
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19899
55.0%
Decimal Number 7580
 
21.0%
Space Separator 6765
 
18.7%
Dash Punctuation 1334
 
3.7%
Close Punctuation 273
 
0.8%
Open Punctuation 273
 
0.8%
Other Punctuation 19
 
0.1%
Uppercase Letter 18
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2862
14.4%
1656
 
8.3%
1616
 
8.1%
1585
 
8.0%
1482
 
7.4%
1476
 
7.4%
1475
 
7.4%
1390
 
7.0%
623
 
3.1%
544
 
2.7%
Other values (194) 5190
26.1%
Decimal Number
ValueCountFrequency (%)
1 1821
24.0%
2 1156
15.3%
3 846
11.2%
4 634
 
8.4%
0 617
 
8.1%
5 604
 
8.0%
6 541
 
7.1%
9 481
 
6.3%
8 477
 
6.3%
7 403
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 6
33.3%
S 3
16.7%
K 2
 
11.1%
E 2
 
11.1%
C 2
 
11.1%
A 1
 
5.6%
D 1
 
5.6%
Y 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
/ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
6765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 273
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19899
55.0%
Common 16248
44.9%
Latin 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2862
14.4%
1656
 
8.3%
1616
 
8.1%
1585
 
8.0%
1482
 
7.4%
1476
 
7.4%
1475
 
7.4%
1390
 
7.0%
623
 
3.1%
544
 
2.7%
Other values (194) 5190
26.1%
Common
ValueCountFrequency (%)
6765
41.6%
1 1821
 
11.2%
- 1334
 
8.2%
2 1156
 
7.1%
3 846
 
5.2%
4 634
 
3.9%
0 617
 
3.8%
5 604
 
3.7%
6 541
 
3.3%
9 481
 
3.0%
Other values (7) 1449
 
8.9%
Latin
ValueCountFrequency (%)
B 6
33.3%
S 3
16.7%
K 2
 
11.1%
E 2
 
11.1%
C 2
 
11.1%
A 1
 
5.6%
D 1
 
5.6%
Y 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19899
55.0%
ASCII 16266
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6765
41.6%
1 1821
 
11.2%
- 1334
 
8.2%
2 1156
 
7.1%
3 846
 
5.2%
4 634
 
3.9%
0 617
 
3.8%
5 604
 
3.7%
6 541
 
3.3%
9 481
 
3.0%
Other values (15) 1467
 
9.0%
Hangul
ValueCountFrequency (%)
2862
14.4%
1656
 
8.3%
1616
 
8.1%
1585
 
8.0%
1482
 
7.4%
1476
 
7.4%
1475
 
7.4%
1390
 
7.0%
623
 
3.1%
544
 
2.7%
Other values (194) 5190
26.1%

도로명전체주소
Text

MISSING 

Distinct1320
Distinct (%)90.5%
Missing17
Missing (%)1.2%
Memory size11.7 KiB
2023-12-11T05:52:21.309792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length28.323509
Min length19

Characters and Unicode

Total characters41324
Distinct characters277
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

Unique1203 ?
Unique (%)82.5%

Sample

1st row대구광역시 중구 명륜로 70 (남산동)
2nd row대구광역시 중구 동성로 37-2 (동성로2가)
3rd row대구광역시 중구 동성로6길 58 (공평동)
4th row대구광역시 중구 국채보상로 585 (사일동)
5th row대구광역시 중구 태평로 182 (태평로1가)
ValueCountFrequency (%)
대구광역시 1459
 
17.5%
달서구 353
 
4.2%
1층 284
 
3.4%
북구 241
 
2.9%
서구 234
 
2.8%
동구 197
 
2.4%
2층 171
 
2.1%
수성구 136
 
1.6%
중구 108
 
1.3%
달성군 98
 
1.2%
Other values (1319) 5034
60.5%
2023-12-11T05:52:22.154626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7277
17.6%
3030
 
7.3%
1924
 
4.7%
1898
 
4.6%
1 1669
 
4.0%
( 1558
 
3.8%
) 1558
 
3.8%
1494
 
3.6%
1481
 
3.6%
1470
 
3.6%
Other values (267) 17965
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23091
55.9%
Space Separator 7277
 
17.6%
Decimal Number 6462
 
15.6%
Open Punctuation 1558
 
3.8%
Close Punctuation 1558
 
3.8%
Other Punctuation 1036
 
2.5%
Dash Punctuation 306
 
0.7%
Uppercase Letter 31
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3030
 
13.1%
1924
 
8.3%
1898
 
8.2%
1494
 
6.5%
1481
 
6.4%
1470
 
6.4%
1461
 
6.3%
859
 
3.7%
833
 
3.6%
632
 
2.7%
Other values (240) 8009
34.7%
Decimal Number
ValueCountFrequency (%)
1 1669
25.8%
2 1156
17.9%
3 722
11.2%
5 507
 
7.8%
4 489
 
7.6%
0 485
 
7.5%
6 420
 
6.5%
8 364
 
5.6%
9 329
 
5.1%
7 321
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
25.8%
A 5
16.1%
S 4
12.9%
K 4
12.9%
Y 4
12.9%
E 2
 
6.5%
M 1
 
3.2%
D 1
 
3.2%
C 1
 
3.2%
X 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 1035
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1558
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23091
55.9%
Common 18202
44.0%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3030
 
13.1%
1924
 
8.3%
1898
 
8.2%
1494
 
6.5%
1481
 
6.4%
1470
 
6.4%
1461
 
6.3%
859
 
3.7%
833
 
3.6%
632
 
2.7%
Other values (240) 8009
34.7%
Common
ValueCountFrequency (%)
7277
40.0%
1 1669
 
9.2%
( 1558
 
8.6%
) 1558
 
8.6%
2 1156
 
6.4%
, 1035
 
5.7%
3 722
 
4.0%
5 507
 
2.8%
4 489
 
2.7%
0 485
 
2.7%
Other values (7) 1746
 
9.6%
Latin
ValueCountFrequency (%)
B 8
25.8%
A 5
16.1%
S 4
12.9%
K 4
12.9%
Y 4
12.9%
E 2
 
6.5%
M 1
 
3.2%
D 1
 
3.2%
C 1
 
3.2%
X 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23091
55.9%
ASCII 18233
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7277
39.9%
1 1669
 
9.2%
( 1558
 
8.5%
) 1558
 
8.5%
2 1156
 
6.3%
, 1035
 
5.7%
3 722
 
4.0%
5 507
 
2.8%
4 489
 
2.7%
0 485
 
2.7%
Other values (17) 1777
 
9.7%
Hangul
ValueCountFrequency (%)
3030
 
13.1%
1924
 
8.3%
1898
 
8.2%
1494
 
6.5%
1481
 
6.4%
1470
 
6.4%
1461
 
6.3%
859
 
3.7%
833
 
3.6%
632
 
2.7%
Other values (240) 8009
34.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct439
Distinct (%)44.7%
Missing494
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean183707.51
Minimum41026
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:22.391264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41119.05
Q141716
median42426
Q342968.25
95-th percentile704940
Maximum711872
Range670846
Interquartile range (IQR)1252.25

Descriptive statistics

Standard deviation271749.38
Coefficient of variation (CV)1.4792503
Kurtosis-0.045603832
Mean183707.51
Median Absolute Deviation (MAD)653
Skewness1.3979802
Sum1.8040077 × 108
Variance7.3847724 × 1010
MonotonicityNot monotonic
2023-12-11T05:52:22.627348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41942 23
 
1.6%
41941 22
 
1.5%
41423 20
 
1.4%
42612 12
 
0.8%
42274 12
 
0.8%
42691 10
 
0.7%
41713 10
 
0.7%
42979 9
 
0.6%
704940 9
 
0.6%
42739 8
 
0.5%
Other values (429) 847
57.4%
(Missing) 494
33.5%
ValueCountFrequency (%)
41026 6
0.4%
41030 1
 
0.1%
41034 2
 
0.1%
41036 1
 
0.1%
41043 3
0.2%
41044 1
 
0.1%
41045 2
 
0.1%
41046 1
 
0.1%
41047 3
0.2%
41048 1
 
0.1%
ValueCountFrequency (%)
711872 2
 
0.1%
711857 1
 
0.1%
711855 1
 
0.1%
711854 8
0.5%
711842 1
 
0.1%
711838 2
 
0.1%
711835 1
 
0.1%
711834 1
 
0.1%
711812 1
 
0.1%
706853 1
 
0.1%
Distinct1047
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023-12-11T05:52:22.998620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length5.7228997
Min length1

Characters and Unicode

Total characters8447
Distinct characters480
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique821 ?
Unique (%)55.6%

Sample

1st row남문오락실
2nd row퍼니
3rd row놀이마당
4th row(주)안다미로엔터동성로점
5th row구상오락실
ValueCountFrequency (%)
게임랜드 71
 
4.3%
오락실 41
 
2.5%
대박게임랜드 16
 
1.0%
황금게임랜드 13
 
0.8%
행운오락실 13
 
0.8%
짱구게임장 11
 
0.7%
씽씽쏭쏭 10
 
0.6%
보물섬 10
 
0.6%
대박오락실 9
 
0.5%
토이샵 8
 
0.5%
Other values (1054) 1461
87.9%
2023-12-11T05:52:23.502656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
633
 
7.5%
623
 
7.4%
566
 
6.7%
502
 
5.9%
487
 
5.8%
443
 
5.2%
439
 
5.2%
187
 
2.2%
168
 
2.0%
149
 
1.8%
Other values (470) 4250
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7997
94.7%
Space Separator 187
 
2.2%
Uppercase Letter 78
 
0.9%
Lowercase Letter 46
 
0.5%
Decimal Number 43
 
0.5%
Close Punctuation 42
 
0.5%
Open Punctuation 42
 
0.5%
Other Punctuation 9
 
0.1%
Dash Punctuation 2
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
633
 
7.9%
623
 
7.8%
566
 
7.1%
502
 
6.3%
487
 
6.1%
443
 
5.5%
439
 
5.5%
168
 
2.1%
149
 
1.9%
136
 
1.7%
Other values (414) 3851
48.2%
Uppercase Letter
ValueCountFrequency (%)
P 7
 
9.0%
N 7
 
9.0%
I 6
 
7.7%
T 6
 
7.7%
U 5
 
6.4%
A 5
 
6.4%
F 5
 
6.4%
K 5
 
6.4%
V 4
 
5.1%
O 3
 
3.8%
Other values (14) 25
32.1%
Lowercase Letter
ValueCountFrequency (%)
n 8
17.4%
o 6
13.0%
y 6
13.0%
e 5
10.9%
u 4
8.7%
p 3
 
6.5%
s 3
 
6.5%
h 2
 
4.3%
a 2
 
4.3%
m 2
 
4.3%
Other values (5) 5
10.9%
Decimal Number
ValueCountFrequency (%)
2 12
27.9%
4 8
18.6%
1 7
16.3%
0 7
16.3%
8 3
 
7.0%
3 3
 
7.0%
5 1
 
2.3%
9 1
 
2.3%
7 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
# 4
44.4%
. 4
44.4%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7997
94.7%
Common 326
 
3.9%
Latin 124
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
633
 
7.9%
623
 
7.8%
566
 
7.1%
502
 
6.3%
487
 
6.1%
443
 
5.5%
439
 
5.5%
168
 
2.1%
149
 
1.9%
136
 
1.7%
Other values (414) 3851
48.2%
Latin
ValueCountFrequency (%)
n 8
 
6.5%
P 7
 
5.6%
N 7
 
5.6%
o 6
 
4.8%
I 6
 
4.8%
T 6
 
4.8%
y 6
 
4.8%
U 5
 
4.0%
A 5
 
4.0%
e 5
 
4.0%
Other values (29) 63
50.8%
Common
ValueCountFrequency (%)
187
57.4%
) 42
 
12.9%
( 42
 
12.9%
2 12
 
3.7%
4 8
 
2.5%
1 7
 
2.1%
0 7
 
2.1%
# 4
 
1.2%
. 4
 
1.2%
8 3
 
0.9%
Other values (7) 10
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7997
94.7%
ASCII 450
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
633
 
7.9%
623
 
7.8%
566
 
7.1%
502
 
6.3%
487
 
6.1%
443
 
5.5%
439
 
5.5%
168
 
2.1%
149
 
1.9%
136
 
1.7%
Other values (414) 3851
48.2%
ASCII
ValueCountFrequency (%)
187
41.6%
) 42
 
9.3%
( 42
 
9.3%
2 12
 
2.7%
4 8
 
1.8%
n 8
 
1.8%
P 7
 
1.6%
1 7
 
1.6%
0 7
 
1.6%
N 7
 
1.6%
Other values (46) 123
27.3%

최종수정시점
Real number (ℝ)

Distinct1474
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0149162 × 1013
Minimum2.0071226 × 1013
Maximum2.020103 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:23.702735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0071226 × 1013
5-th percentile2.0081126 × 1013
Q12.0110785 × 1013
median2.0151208 × 1013
Q32.019011 × 1013
95-th percentile2.0200716 × 1013
Maximum2.020103 × 1013
Range1.2980401 × 1011
Interquartile range (IQR)7.9325039 × 1010

Descriptive statistics

Standard deviation3.9847109 × 1010
Coefficient of variation (CV)0.0019776063
Kurtosis-1.2962809
Mean2.0149162 × 1013
Median Absolute Deviation (MAD)3.9114005 × 1010
Skewness-0.30115654
Sum2.9740163 × 1016
Variance1.5877921 × 1021
MonotonicityNot monotonic
2023-12-11T05:52:23.892820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190823170655 3
 
0.2%
20131108131910 1
 
0.1%
20180124120708 1
 
0.1%
20091116173602 1
 
0.1%
20200603142947 1
 
0.1%
20191204153650 1
 
0.1%
20091116173155 1
 
0.1%
20091116173540 1
 
0.1%
20100426130947 1
 
0.1%
20160105142514 1
 
0.1%
Other values (1464) 1464
99.2%
ValueCountFrequency (%)
20071226131748 1
0.1%
20080114100431 1
0.1%
20080125181234 1
0.1%
20080303111347 1
0.1%
20080310095734 1
0.1%
20080325145716 1
0.1%
20080506171511 1
0.1%
20080509091603 1
0.1%
20080521142658 1
0.1%
20080613144031 1
0.1%
ValueCountFrequency (%)
20201030144907 1
0.1%
20201023102331 1
0.1%
20201021173242 1
0.1%
20201021142558 1
0.1%
20201016131244 1
0.1%
20201015162334 1
0.1%
20201014165600 1
0.1%
20201012155156 1
0.1%
20201008150548 1
0.1%
20201007115209 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
I
1080 
U
396 

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 1080
73.2%
U 396
 
26.8%

Length

2023-12-11T05:52:24.071565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:24.183552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1080
73.2%
u 396
 
26.8%
Distinct299
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
Minimum2018-08-31 23:59:59
Maximum2020-11-01 02:40:00
2023-12-11T05:52:24.293345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:52:24.436634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct1047
Distinct (%)71.2%
Missing6
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean342140.06
Minimum327886.99
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:24.578336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327886.99
5-th percentile334143.27
Q1339544.12
median341417.92
Q3345070.89
95-th percentile353097.92
Maximum357933.24
Range30046.245
Interquartile range (IQR)5526.7665

Descriptive statistics

Standard deviation5103.0102
Coefficient of variation (CV)0.014914974
Kurtosis0.58421854
Mean342140.06
Median Absolute Deviation (MAD)2804.5013
Skewness0.2539945
Sum5.0294588 × 108
Variance26040713
MonotonicityNot monotonic
2023-12-11T05:52:24.724666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340333.574513 7
 
0.5%
340820.416585 7
 
0.5%
339638.747277 7
 
0.5%
340793.237 6
 
0.4%
341301.554735 6
 
0.4%
340616.952958 6
 
0.4%
339027.130031 6
 
0.4%
347970.053426 6
 
0.4%
345549.64696 6
 
0.4%
338728.753645 5
 
0.3%
Other values (1037) 1408
95.4%
(Missing) 6
 
0.4%
ValueCountFrequency (%)
327886.992564 1
 
0.1%
328011.606645 1
 
0.1%
328545.392837 1
 
0.1%
329310.702211 1
 
0.1%
329739.83013 1
 
0.1%
330013.035782 3
0.2%
330127.206749 1
 
0.1%
330194.168455 1
 
0.1%
330294.027379 1
 
0.1%
330377.019726 1
 
0.1%
ValueCountFrequency (%)
357933.237729 1
0.1%
356353.91544 2
0.1%
356329.958036 1
0.1%
356245.050639 1
0.1%
356070.015686 2
0.1%
355759.028696 1
0.1%
355749.747028 1
0.1%
355736.057101 1
0.1%
355729.578668 1
0.1%
355722.712478 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1047
Distinct (%)71.2%
Missing6
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean263441.73
Minimum238771.73
Maximum277784.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:25.201128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238771.73
5-th percentile257317.2
Q1261273.23
median264134.15
Q3266018.78
95-th percentile270697.57
Maximum277784.13
Range39012.406
Interquartile range (IQR)4745.5518

Descriptive statistics

Standard deviation4692.7665
Coefficient of variation (CV)0.0178133
Kurtosis4.4419596
Mean263441.73
Median Absolute Deviation (MAD)2246.3409
Skewness-1.263465
Sum3.8725935 × 108
Variance22022058
MonotonicityNot monotonic
2023-12-11T05:52:25.354988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264421.507192 7
 
0.5%
266463.100546 7
 
0.5%
258034.934254 7
 
0.5%
272577.250458 6
 
0.4%
262585.135012 6
 
0.4%
266219.271086 6
 
0.4%
258522.588099 6
 
0.4%
265400.514996 6
 
0.4%
260350.258387 6
 
0.4%
257471.097806 5
 
0.3%
Other values (1037) 1408
95.4%
(Missing) 6
 
0.4%
ValueCountFrequency (%)
238771.7289 1
 
0.1%
240219.763777 1
 
0.1%
240228.19034 1
 
0.1%
244561.674165 1
 
0.1%
244624.0 2
0.1%
244648.0 1
 
0.1%
244658.0 3
0.2%
244671.0 1
 
0.1%
244699.0 1
 
0.1%
244900.955131 2
0.1%
ValueCountFrequency (%)
277784.134758 1
 
0.1%
273780.083988 1
 
0.1%
273573.031508 1
 
0.1%
273543.383722 3
0.2%
272975.982997 1
 
0.1%
272745.453479 1
 
0.1%
272689.28635 1
 
0.1%
272659.975074 2
0.1%
272656.837766 2
0.1%
272638.601778 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
청소년게임제공업
1476 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 1476
100.0%

Length

2023-12-11T05:52:25.497572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:25.616846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 1476
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
유통관련업
1476 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 1476
100.0%

Length

2023-12-11T05:52:25.728545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:25.841575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1476
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)1.4%
Missing84
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean4.3304598
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:25.957917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum22
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2455305
Coefficient of variation (CV)0.51854321
Kurtosis7.8796091
Mean4.3304598
Median Absolute Deviation (MAD)1
Skewness1.906867
Sum6028
Variance5.0424073
MonotonicityNot monotonic
2023-12-11T05:52:26.083442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4 315
21.3%
5 281
19.0%
3 261
17.7%
6 158
10.7%
2 156
10.6%
1 86
 
5.8%
7 52
 
3.5%
8 23
 
1.6%
9 18
 
1.2%
10 11
 
0.7%
Other values (9) 31
 
2.1%
(Missing) 84
 
5.7%
ValueCountFrequency (%)
1 86
 
5.8%
2 156
10.6%
3 261
17.7%
4 315
21.3%
5 281
19.0%
6 158
10.7%
7 52
 
3.5%
8 23
 
1.6%
9 18
 
1.2%
10 11
 
0.7%
ValueCountFrequency (%)
22 1
 
0.1%
19 1
 
0.1%
17 1
 
0.1%
16 2
 
0.1%
15 3
 
0.2%
14 3
 
0.2%
13 4
 
0.3%
12 9
0.6%
11 7
0.5%
10 11
0.7%

주변환경명
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
기타
664 
<NA>
503 
주택가주변
125 
유흥업소밀집지역
118 
학교정화(상대)
 
40
Other values (3)
 
26

Length

Max length8
Median length7
Mean length3.6355014
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 664
45.0%
<NA> 503
34.1%
주택가주변 125
 
8.5%
유흥업소밀집지역 118
 
8.0%
학교정화(상대) 40
 
2.7%
아파트지역 23
 
1.6%
결혼예식장주변 2
 
0.1%
학교정화(절대) 1
 
0.1%

Length

2023-12-11T05:52:26.218600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:26.334053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 664
45.0%
na 503
34.1%
주택가주변 125
 
8.5%
유흥업소밀집지역 118
 
8.0%
학교정화(상대 40
 
2.7%
아파트지역 23
 
1.6%
결혼예식장주변 2
 
0.1%
학교정화(절대 1
 
0.1%
Distinct852
Distinct (%)81.0%
Missing424
Missing (%)28.7%
Memory size11.7 KiB
2023-12-11T05:52:26.628251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length160
Median length97
Mean length13.792776
Min length1

Characters and Unicode

Total characters14510
Distinct characters504
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique759 ?
Unique (%)72.1%

Sample

1st row마켓크레프트3
2nd row뽀끼뽀끼2
3rd row스마일토이
4th row코코짱, 짱
5th row토이즈 팝
ValueCountFrequency (%)
1 58
 
2.4%
1대 55
 
2.3%
토이즈팝 51
 
2.1%
34
 
1.4%
40대 32
 
1.3%
곰탱이 30
 
1.2%
알라딘 26
 
1.1%
유니온 25
 
1.0%
아케이드 24
 
1.0%
게임 23
 
0.9%
Other values (1242) 2070
85.3%
2023-12-11T05:52:27.083745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1380
 
9.5%
, 643
 
4.4%
1 506
 
3.5%
0 447
 
3.1%
436
 
3.0%
368
 
2.5%
2 352
 
2.4%
( 349
 
2.4%
) 348
 
2.4%
337
 
2.3%
Other values (494) 9344
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8295
57.2%
Decimal Number 1866
 
12.9%
Space Separator 1380
 
9.5%
Uppercase Letter 920
 
6.3%
Other Punctuation 711
 
4.9%
Lowercase Letter 395
 
2.7%
Open Punctuation 349
 
2.4%
Close Punctuation 348
 
2.4%
Dash Punctuation 238
 
1.6%
Control 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
436
 
5.3%
368
 
4.4%
337
 
4.1%
191
 
2.3%
188
 
2.3%
186
 
2.2%
185
 
2.2%
129
 
1.6%
125
 
1.5%
125
 
1.5%
Other values (422) 6025
72.6%
Uppercase Letter
ValueCountFrequency (%)
C 148
16.1%
A 140
15.2%
N 109
11.8%
O 56
 
6.1%
E 53
 
5.8%
T 49
 
5.3%
R 41
 
4.5%
S 38
 
4.1%
P 36
 
3.9%
I 32
 
3.5%
Other values (16) 218
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 50
12.7%
o 37
 
9.4%
n 35
 
8.9%
a 33
 
8.4%
s 28
 
7.1%
r 24
 
6.1%
i 23
 
5.8%
l 22
 
5.6%
u 17
 
4.3%
t 16
 
4.1%
Other values (14) 110
27.8%
Decimal Number
ValueCountFrequency (%)
1 506
27.1%
0 447
24.0%
2 352
18.9%
4 143
 
7.7%
3 118
 
6.3%
5 90
 
4.8%
8 58
 
3.1%
6 53
 
2.8%
9 51
 
2.7%
7 48
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 643
90.4%
: 50
 
7.0%
. 17
 
2.4%
& 1
 
0.1%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
1380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 349
100.0%
Close Punctuation
ValueCountFrequency (%)
) 348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8289
57.1%
Common 4897
33.7%
Latin 1318
 
9.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
436
 
5.3%
368
 
4.4%
337
 
4.1%
191
 
2.3%
188
 
2.3%
186
 
2.2%
185
 
2.2%
129
 
1.6%
125
 
1.5%
125
 
1.5%
Other values (419) 6019
72.6%
Latin
ValueCountFrequency (%)
C 148
 
11.2%
A 140
 
10.6%
N 109
 
8.3%
O 56
 
4.2%
E 53
 
4.0%
e 50
 
3.8%
T 49
 
3.7%
R 41
 
3.1%
S 38
 
2.9%
o 37
 
2.8%
Other values (42) 597
45.3%
Common
ValueCountFrequency (%)
1380
28.2%
, 643
13.1%
1 506
 
10.3%
0 447
 
9.1%
2 352
 
7.2%
( 349
 
7.1%
) 348
 
7.1%
- 238
 
4.9%
4 143
 
2.9%
3 118
 
2.4%
Other values (10) 373
 
7.6%
Han
ValueCountFrequency (%)
2
33.3%
2
33.3%
2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8289
57.1%
ASCII 6211
42.8%
CJK 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1380
22.2%
, 643
 
10.4%
1 506
 
8.1%
0 447
 
7.2%
2 352
 
5.7%
( 349
 
5.6%
) 348
 
5.6%
- 238
 
3.8%
C 148
 
2.4%
4 143
 
2.3%
Other values (59) 1657
26.7%
Hangul
ValueCountFrequency (%)
436
 
5.3%
368
 
4.4%
337
 
4.1%
191
 
2.3%
188
 
2.3%
186
 
2.2%
185
 
2.2%
129
 
1.6%
125
 
1.5%
125
 
1.5%
Other values (419) 6019
72.6%
CJK
ValueCountFrequency (%)
2
50.0%
2
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

Distinct1217
Distinct (%)82.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.41904
Minimum9
Maximum1167.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:27.215487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile25.079
Q163
median117.29
Q3169.795
95-th percentile261.095
Maximum1167.46
Range1158.46
Interquartile range (IQR)106.795

Descriptive statistics

Standard deviation86.670003
Coefficient of variation (CV)0.68557715
Kurtosis20.580704
Mean126.41904
Median Absolute Deviation (MAD)52.96
Skewness2.6933249
Sum186468.08
Variance7511.6894
MonotonicityNot monotonic
2023-12-11T05:52:27.361004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210.0 6
 
0.4%
110.48 6
 
0.4%
132.0 6
 
0.4%
115.2 5
 
0.3%
118.0 5
 
0.3%
170.86 5
 
0.3%
51.3 4
 
0.3%
48.0 4
 
0.3%
120.0 4
 
0.3%
142.3 4
 
0.3%
Other values (1207) 1426
96.6%
ValueCountFrequency (%)
9.0 2
0.1%
9.8 1
0.1%
10.08 1
0.1%
10.32 1
0.1%
11.38 1
0.1%
11.7 1
0.1%
12.3 2
0.1%
13.0 1
0.1%
13.05 1
0.1%
13.2 1
0.1%
ValueCountFrequency (%)
1167.46 1
0.1%
859.56 1
0.1%
685.4 1
0.1%
667.56 1
0.1%
612.78 1
0.1%
609.45 1
0.1%
484.06 1
0.1%
453.08 1
0.1%
445.26 1
0.1%
435.34 1
0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED 

Distinct14
Distinct (%)1.0%
Missing109
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean2.1389905
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:27.474819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum123
Range122
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.6334214
Coefficient of variation (CV)1.6986618
Kurtosis897.71443
Mean2.1389905
Median Absolute Deviation (MAD)1
Skewness27.203476
Sum2924
Variance13.201751
MonotonicityNot monotonic
2023-12-11T05:52:27.581298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 653
44.2%
2 399
27.0%
3 144
 
9.8%
4 67
 
4.5%
5 57
 
3.9%
7 15
 
1.0%
6 13
 
0.9%
9 5
 
0.3%
8 4
 
0.3%
10 4
 
0.3%
Other values (4) 6
 
0.4%
(Missing) 109
 
7.4%
ValueCountFrequency (%)
1 653
44.2%
2 399
27.0%
3 144
 
9.8%
4 67
 
4.5%
5 57
 
3.9%
6 13
 
0.9%
7 15
 
1.0%
8 4
 
0.3%
9 5
 
0.3%
10 4
 
0.3%
ValueCountFrequency (%)
123 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
12 3
 
0.2%
10 4
 
0.3%
9 5
 
0.3%
8 4
 
0.3%
7 15
 
1.0%
6 13
 
0.9%
5 57
3.9%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
<NA>
1251 
1
189 
0
 
17
2
 
12
3
 
6

Length

Max length4
Median length4
Mean length3.5426829
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> 1251
84.8%
1 189
 
12.8%
0 17
 
1.2%
2 12
 
0.8%
3 6
 
0.4%
4 1
 
0.1%

Length

2023-12-11T05:52:27.717067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:27.840163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1251
84.8%
1 189
 
12.8%
0 17
 
1.2%
2 12
 
0.8%
3 6
 
0.4%
4 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
근린생활시설
1118 
<NA>
246 
판매시설
 
40
사무실
 
23
기타
 
18
Other values (11)
 
31

Length

Max length15
Median length6
Mean length5.4952575
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 1118
75.7%
<NA> 246
 
16.7%
판매시설 40
 
2.7%
사무실 23
 
1.6%
기타 18
 
1.2%
환경위생시설 7
 
0.5%
유기장 6
 
0.4%
식품위생시설 4
 
0.3%
유통시설 3
 
0.2%
단독주택 3
 
0.2%
Other values (6) 8
 
0.5%

Length

2023-12-11T05:52:27.961626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
근린생활시설 1118
75.7%
na 246
 
16.7%
판매시설 40
 
2.7%
사무실 23
 
1.6%
기타 18
 
1.2%
환경위생시설 7
 
0.5%
유기장 6
 
0.4%
식품위생시설 4
 
0.3%
단독주택 3
 
0.2%
유통시설 3
 
0.2%
Other values (7) 9
 
0.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)9.1%
Missing1211
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean56.173585
Minimum12
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:28.071986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile40
Q140
median40
Q360
95-th percentile128
Maximum400
Range388
Interquartile range (IQR)20

Descriptive statistics

Standard deviation39.578653
Coefficient of variation (CV)0.70457766
Kurtosis31.866454
Mean56.173585
Median Absolute Deviation (MAD)0
Skewness4.9671175
Sum14886
Variance1566.4698
MonotonicityNot monotonic
2023-12-11T05:52:28.199665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
40 145
 
9.8%
50 34
 
2.3%
60 18
 
1.2%
70 17
 
1.2%
80 11
 
0.7%
45 9
 
0.6%
42 4
 
0.3%
130 4
 
0.3%
150 4
 
0.3%
55 3
 
0.2%
Other values (14) 16
 
1.1%
(Missing) 1211
82.0%
ValueCountFrequency (%)
12 1
 
0.1%
40 145
9.8%
42 4
 
0.3%
43 2
 
0.1%
45 9
 
0.6%
50 34
 
2.3%
55 3
 
0.2%
60 18
 
1.2%
70 17
 
1.2%
80 11
 
0.7%
ValueCountFrequency (%)
400 1
 
0.1%
320 1
 
0.1%
250 1
 
0.1%
220 1
 
0.1%
200 1
 
0.1%
180 1
 
0.1%
150 4
0.3%
130 4
0.3%
120 1
 
0.1%
110 1
 
0.1%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)5.0%
Missing157
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean30.683093
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-11T05:52:28.342445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q116
median40
Q340
95-th percentile50
Maximum100
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.62826
Coefficient of variation (CV)0.4767531
Kurtosis-0.21820511
Mean30.683093
Median Absolute Deviation (MAD)9
Skewness-0.081347453
Sum40471
Variance213.98599
MonotonicityNot monotonic
2023-12-11T05:52:28.502650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 555
37.6%
10 59
 
4.0%
50 57
 
3.9%
30 51
 
3.5%
20 49
 
3.3%
12 41
 
2.8%
11 33
 
2.2%
8 30
 
2.0%
9 26
 
1.8%
14 25
 
1.7%
Other values (56) 393
26.6%
(Missing) 157
 
10.6%
ValueCountFrequency (%)
1 5
 
0.3%
2 1
 
0.1%
4 5
 
0.3%
5 13
 
0.9%
6 11
 
0.7%
7 23
 
1.6%
8 30
2.0%
9 26
1.8%
10 59
4.0%
11 33
2.2%
ValueCountFrequency (%)
100 1
 
0.1%
98 1
 
0.1%
84 1
 
0.1%
78 1
 
0.1%
72 1
 
0.1%
70 2
 
0.1%
66 1
 
0.1%
64 3
 
0.2%
62 2
 
0.1%
60 16
1.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
전체이용가
1434 
<NA>
 
37
청소년이용불가
 
4
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.9871274
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 1434
97.2%
<NA> 37
 
2.5%
청소년이용불가 4
 
0.3%
전체이용가 및 청소년이용불가 1
 
0.1%

Length

2023-12-11T05:52:28.640857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:52:28.750461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 1435
97.1%
na 37
 
2.5%
청소년이용불가 5
 
0.3%
1
 
0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1476
Missing (%)100.0%
Memory size13.1 KiB

지역구분명
Categorical

Distinct13
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
일반주거지역
409 
일반상업지역
264 
<NA>
213 
중심상업지역
204 
근린상업지역
162 
Other values (8)
224 

Length

Max length6
Median length6
Mean length5.5115176
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반주거지역 409
27.7%
일반상업지역 264
17.9%
<NA> 213
14.4%
중심상업지역 204
13.8%
근린상업지역 162
 
11.0%
준주거지역 109
 
7.4%
상업지역 50
 
3.4%
주거지역 38
 
2.6%
자연녹지지역 13
 
0.9%
일반공업지역 6
 
0.4%
Other values (3) 8
 
0.5%

Length

2023-12-11T05:52:28.880339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반주거지역 409
27.7%
일반상업지역 264
17.9%
na 213
14.4%
중심상업지역 204
13.8%
근린상업지역 162
 
11.0%
준주거지역 109
 
7.4%
상업지역 50
 
3.4%
주거지역 38
 
2.6%
자연녹지지역 13
 
0.9%
일반공업지역 6
 
0.4%
Other values (3) 8
 
0.5%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01청소년게임제공업03_05_07_P3410000CDFF224114200700000120071107<NA>3폐업3폐업20131108<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 698-22번지대구광역시 중구 명륜로 70 (남산동)<NA>남문오락실20131108131910I2018-08-31 23:59:59.0<NA>343722.34105263487.941195청소년게임제공업유통관련업6<NA><NA>26.41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17<NA><NA><NA><NA><NA>중심상업지역
12청소년게임제공업03_05_07_P3410000CDFF224114200700000720071120<NA>3폐업3폐업20120322<NA><NA><NA>422-7391<NA><NA>대구광역시 중구 동성로2가 85-5번지대구광역시 중구 동성로 37-2 (동성로2가)<NA>퍼니20120322115356I2018-08-31 23:59:59.0<NA>344013.463572264506.775756청소년게임제공업유통관련업2<NA><NA>318.0912<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>98<NA>전체이용가<NA><NA><NA>중심상업지역
23청소년게임제공업03_05_07_P3410000CDFF224114200700000820071120<NA>3폐업3폐업20131206<NA><NA><NA>424-3635<NA><NA>대구광역시 중구 공평동 59-2번지대구광역시 중구 동성로6길 58 (공평동)<NA>놀이마당20131206161728I2018-08-31 23:59:59.0<NA>344291.561756264313.91375청소년게임제공업유통관련업5<NA><NA>115.161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43<NA>전체이용가<NA><NA><NA>중심상업지역
34청소년게임제공업03_05_07_P3410000CDFF224114200700000920071123<NA>3폐업3폐업20171130<NA><NA><NA>053-609-3055<NA><NA>대구광역시 중구 사일동 15-1번지대구광역시 중구 국채보상로 585 (사일동)<NA>(주)안다미로엔터동성로점20171130155313I2018-08-31 23:59:59.0<NA>343932.18838264630.944873청소년게임제공업유통관련업9<NA><NA>231.175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33<NA>전체이용가<NA><NA><NA>중심상업지역
45청소년게임제공업03_05_07_P3410000CDFF224114200800000120080201<NA>3폐업3폐업20091112<NA><NA><NA>424-9287<NA><NA>대구광역시 중구 태평로1가 9-1번지대구광역시 중구 태평로 182 (태평로1가)<NA>구상오락실20091112112557I2018-08-31 23:59:59.0<NA>344188.495597264967.126466청소년게임제공업유통관련업1<NA><NA>142.481<NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35<NA>전체이용가<NA><NA><NA>중심상업지역
56청소년게임제공업03_05_07_P3410000CDFF224114201600002920161122<NA>3폐업3폐업20170516<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 152-4번지 지상1층대구광역시 중구 동성로6길 2-11 (동성로2가, 지상1층)41941뽑기왕20170628155307I2018-08-31 23:59:59.0<NA>344036.706135264328.582951청소년게임제공업유통관련업1기타마켓크레프트340.81<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA>전체이용가<NA><NA><NA>중심상업지역
67청소년게임제공업03_05_07_P3410000CDFF224114201600003020161206<NA>3폐업3폐업20180904<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2번지 몰디브코리아빌딩 103호대구광역시 중구 동성로5길 25 (삼덕동1가, 몰디브코리아빌딩 103호)41941토이짱20180904144737U2018-09-04 23:59:59.0<NA>344075.953606264266.216087청소년게임제공업유통관련업8기타뽀끼뽀끼262.51<NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA>전체이용가<NA><NA><NA>중심상업지역
78청소년게임제공업03_05_07_P3410000CDFF224114201600003120161209<NA>3폐업3폐업20170710<NA><NA><NA><NA><NA><NA>대구광역시 중구 덕산동 88번지 메트로센터 지하1층 C111대구광역시 중구 달구벌대로 2100 (덕산동, 반월당역)41957뽑기탕탕20170710095657I2018-08-31 23:59:59.0<NA>343820.40768264018.87607청소년게임제공업유통관련업<NA>기타스마일토이20.24<NA>1판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA>중심상업지역
89청소년게임제공업03_05_07_P3410000CDFF224114201600003220161211<NA>3폐업3폐업20170531<NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 23-21번지 지상1층대구광역시 중구 동성로2길 18-16 (봉산동, 지상1층)41942재미삼아20170531120006I2018-08-31 23:59:59.0<NA>344177.649599264093.041883청소년게임제공업유통관련업4기타코코짱, 짱53.761<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA>중심상업지역
910청소년게임제공업03_05_07_P3410000CDFF224114201600003520161220<NA>3폐업3폐업20181231<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 53-1번지 지상1층대구광역시 중구 동성로2길 58 (공평동, 지상1층)41941토이샵20181231105337U2019-01-02 02:40:00.0<NA>344159.347388264324.80232청소년게임제공업유통관련업5기타토이즈 팝35.71<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19<NA>전체이용가<NA><NA><NA>중심상업지역
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
14661467청소년게임제공업03_05_07_P3480000CDFF224114201600000920161208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-90번지대구광역시 달성군 논공읍 논공로5길 163, 1층42979더 프렌즈20190617110353U2019-06-19 02:40:00.0<NA>330542.217834248746.358494청소년게임제공업유통관련업3<NA>아케이드 게임29.541<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA>일반주거지역
14671468청소년게임제공업03_05_07_P3480000CDFF224114201600001020161212<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 610-2번지 포산스퀘어 104호대구광역시 달성군 유가면 테크노상업로4길 12, 104호 (포산스퀘어)43018유가놀이터20170619103137I2018-08-31 23:59:59.0<NA>332145.0244624.0청소년게임제공업유통관련업4<NA>아케이드 게임39.661<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>전체이용가<NA><NA><NA>일반상업지역
14681469청소년게임제공업03_05_07_P3480000CDFF224114201600001120161215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 433-9번지대구광역시 달성군 현풍면 비슬로134길 10142999룰루랄라20161215112619I2018-08-31 23:59:59.0<NA>330569.9312245046.166493청소년게임제공업유통관련업1<NA>아케이드 게임36.191<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
14691470청소년게임제공업03_05_07_P3480000CDFF224114201600001220161216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 610-1번지대구광역시 달성군 유가읍 테크노상업로4길 8-743018월드토이20181205103207U2018-12-07 02:40:00.0<NA>332145.0244624.0청소년게임제공업유통관련업4<NA>아케이드 게임34.651<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA>전체이용가<NA><NA><NA><NA>
14701471청소년게임제공업03_05_07_P3480000CDFF224114201600001320161216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 606번지 하이젠스타 101호대구광역시 달성군 유가면 테크노중앙대로 254, 1층 101호 (하이젠스타)43018월드토이20161216172330I2018-08-31 23:59:59.0<NA>331906.0244658.0청소년게임제공업유통관련업12<NA>아케이드 게임33.921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14<NA>전체이용가<NA><NA><NA><NA>
14711472청소년게임제공업03_05_07_P3480000CDFF224114201600001420161221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 교항리 2912번지 107호대구광역시 달성군 옥포읍 돌미로 65, 1층 107호42974보물섬20190227144313U2019-03-01 02:40:00.0<NA>330194.168455254386.357245청소년게임제공업유통관련업7<NA>아케이드 게임42.451<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11<NA>전체이용가<NA><NA><NA>일반상업지역
14721473청소년게임제공업03_05_07_P3480000CDFF224114201700000120170117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 128-1번지대구광역시 달성군 화원읍 화원로 2942954블랙홀 인형뽑기방20190828134559U2019-08-30 02:40:00.0<NA>335435.574779257342.099689청소년게임제공업유통관련업4<NA>아케이드 게임물25.451<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA>주거지역
14731474청소년게임제공업03_05_07_P3480000CDFF224114201700000220170310<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-82번지대구광역시 달성군 논공읍 논공로5길 149, 1층42979토이 play20190919180331U2019-09-21 02:40:00.0<NA>330475.837888248724.506389청소년게임제공업유통관련업3<NA>멘토스(MENTOS), 코코짱(COCO ZZANG)33.671<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA>전체이용가<NA><NA><NA><NA>
14741475청소년게임제공업03_05_07_P3480000CDFF224114201800001020180716<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 36-11 서부제일교회대구광역시 달성군 화원읍 화원로 15-142955뽑기정복자20200717103528U2020-07-19 02:40:00.0<NA>335511.775643257239.234527청소년게임제공업유통관련업3<NA>곰탱이 10대18.151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
14751476청소년게임제공업03_05_07_P3480000CDFF224114201700000820171103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 93번지대구광역시 달성군 다사읍 서재로 135, 1층42924고고씽뽑기방20190307140548U2019-03-12 02:40:00.0<NA>335148.31539264944.804614청소년게임제공업유통관련업1<NA>코코짱(COCO ZZANG), KORSHOP(코샵), GOLDEN BOX(골든박스), 뉴해피트윈멀티(NEW HAPPY TWIN MULTI), HAPPY CUT(해피 컷)31.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14<NA>전체이용가<NA><NA><NA><NA>