Overview

Dataset statistics

Number of variables59
Number of observations1517
Missing cells37344
Missing cells (%)41.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory760.1 KiB
Average record size in memory513.1 B

Variable types

Numeric15
Categorical17
Text6
Unsupported20
DateTime1

Dataset

Description22년11월_6270000_대구광역시_03_05_07_P_청소년게임제공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097057&dataSetDetailId=DDI_0000097087&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지하층수 is highly imbalanced (63.2%)Imbalance
건물용도명 is highly imbalanced (68.9%)Imbalance
통로너비 is highly imbalanced (72.7%)Imbalance
노래방실수 is highly imbalanced (72.7%)Imbalance
청소년실수 is highly imbalanced (72.7%)Imbalance
제공게임물명 is highly imbalanced (90.0%)Imbalance
인허가취소일자 has 1200 (79.1%) missing valuesMissing
폐업일자 has 557 (36.7%) missing valuesMissing
휴업시작일자 has 1517 (100.0%) missing valuesMissing
휴업종료일자 has 1517 (100.0%) missing valuesMissing
재개업일자 has 1517 (100.0%) missing valuesMissing
소재지전화 has 1381 (91.0%) missing valuesMissing
소재지면적 has 1517 (100.0%) missing valuesMissing
소재지우편번호 has 1367 (90.1%) missing valuesMissing
도로명전체주소 has 17 (1.1%) missing valuesMissing
도로명우편번호 has 494 (32.6%) missing valuesMissing
업태구분명 has 1517 (100.0%) missing valuesMissing
좌표정보(X) has 17 (1.1%) missing valuesMissing
좌표정보(Y) has 17 (1.1%) missing valuesMissing
총층수 has 81 (5.3%) missing valuesMissing
제작취급품목내용 has 429 (28.3%) missing valuesMissing
지상층수 has 106 (7.0%) missing valuesMissing
조명시설조도 has 1184 (78.0%) missing valuesMissing
비상계단여부 has 1517 (100.0%) missing valuesMissing
비상구여부 has 1517 (100.0%) missing valuesMissing
자동환기여부 has 1517 (100.0%) missing valuesMissing
청소년실여부 has 1517 (100.0%) missing valuesMissing
특수조명여부 has 1517 (100.0%) missing valuesMissing
방음시설여부 has 1517 (100.0%) missing valuesMissing
비디오재생기명 has 1517 (100.0%) missing valuesMissing
조명시설유무 has 1517 (100.0%) missing valuesMissing
음향시설여부 has 1517 (100.0%) missing valuesMissing
편의시설여부 has 1517 (100.0%) missing valuesMissing
소방시설여부 has 1517 (100.0%) missing valuesMissing
총게임기수 has 152 (10.0%) missing valuesMissing
기존게임업외업종명 has 1517 (100.0%) missing valuesMissing
공연장형태구분명 has 1517 (100.0%) missing valuesMissing
품목명 has 1517 (100.0%) missing valuesMissing
최초등록시점 has 1517 (100.0%) missing valuesMissing
지상층수 is highly skewed (γ1 = 27.35804108)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
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
조명시설조도 has 66 (4.4%) zerosZeros

Reproduction

Analysis started2023-12-10 18:52:28.063958
Analysis finished2023-12-10 18:52:30.320364
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1517
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean759
Minimum1
Maximum1517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:30.770644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.8
Q1380
median759
Q31138
95-th percentile1441.2
Maximum1517
Range1516
Interquartile range (IQR)758

Descriptive statistics

Standard deviation438.06449
Coefficient of variation (CV)0.57716007
Kurtosis-1.2
Mean759
Median Absolute Deviation (MAD)379
Skewness0
Sum1151403
Variance191900.5
MonotonicityStrictly increasing
2023-12-11T03:52:31.012552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1009 1
 
0.1%
1018 1
 
0.1%
1017 1
 
0.1%
1016 1
 
0.1%
1015 1
 
0.1%
1014 1
 
0.1%
1013 1
 
0.1%
1012 1
 
0.1%
1011 1
 
0.1%
Other values (1507) 1507
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 (%)
1517 1
0.1%
1516 1
0.1%
1515 1
0.1%
1514 1
0.1%
1513 1
0.1%
1512 1
0.1%
1511 1
0.1%
1510 1
0.1%
1509 1
0.1%
1508 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
청소년게임제공업
1517 

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 1517
100.0%

Length

2023-12-11T03:52:31.235560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:31.394989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 1517
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
03_05_07_P
1517 

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 1517
100.0%

Length

2023-12-11T03:52:31.579396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:31.748339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_07_p 1517
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446737
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:31.879429image/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 deviation21864.72
Coefficient of variation (CV)0.0063435999
Kurtosis-1.3020986
Mean3446737
Median Absolute Deviation (MAD)20000
Skewness-0.14759043
Sum5.2287 × 109
Variance4.78066 × 108
MonotonicityIncreasing
2023-12-11T03:52:32.048808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 364
24.0%
3450000 245
16.2%
3430000 240
15.8%
3420000 204
13.4%
3460000 139
 
9.2%
3410000 123
 
8.1%
3480000 106
 
7.0%
3440000 96
 
6.3%
ValueCountFrequency (%)
3410000 123
 
8.1%
3420000 204
13.4%
3430000 240
15.8%
3440000 96
 
6.3%
3450000 245
16.2%
3460000 139
 
9.2%
3470000 364
24.0%
3480000 106
 
7.0%
ValueCountFrequency (%)
3480000 106
 
7.0%
3470000 364
24.0%
3460000 139
 
9.2%
3450000 245
16.2%
3440000 96
 
6.3%
3430000 240
15.8%
3420000 204
13.4%
3410000 123
 
8.1%

관리번호
Text

Distinct383
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T03:52:32.377971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30340
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

Unique80 ?
Unique (%)5.3%

Sample

1st rowCDFF2241142014000002
2nd rowCDFF2241142007000001
3rd rowCDFF2241142007000007
4th rowCDFF2241142007000008
5th rowCDFF2241142007000009
ValueCountFrequency (%)
cdff2241142014000002 8
 
0.5%
cdff2241142011000002 8
 
0.5%
cdff2241142008000002 8
 
0.5%
cdff2241142016000007 8
 
0.5%
cdff2241142018000002 8
 
0.5%
cdff2241142016000003 8
 
0.5%
cdff2241142016000008 8
 
0.5%
cdff2241142016000002 8
 
0.5%
cdff2241142018000003 8
 
0.5%
cdff2241142018000001 8
 
0.5%
Other values (373) 1437
94.7%
2023-12-11T03:52:32.866155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9081
29.9%
2 5081
16.7%
1 4862
16.0%
4 3312
 
10.9%
F 3034
 
10.0%
C 1517
 
5.0%
D 1517
 
5.0%
8 467
 
1.5%
7 332
 
1.1%
3 326
 
1.1%
Other values (3) 811
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24272
80.0%
Uppercase Letter 6068
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9081
37.4%
2 5081
20.9%
1 4862
20.0%
4 3312
 
13.6%
8 467
 
1.9%
7 332
 
1.4%
3 326
 
1.3%
6 317
 
1.3%
9 269
 
1.1%
5 225
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 3034
50.0%
C 1517
25.0%
D 1517
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24272
80.0%
Latin 6068
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9081
37.4%
2 5081
20.9%
1 4862
20.0%
4 3312
 
13.6%
8 467
 
1.9%
7 332
 
1.4%
3 326
 
1.3%
6 317
 
1.3%
9 269
 
1.1%
5 225
 
0.9%
Latin
ValueCountFrequency (%)
F 3034
50.0%
C 1517
25.0%
D 1517
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9081
29.9%
2 5081
16.7%
1 4862
16.0%
4 3312
 
10.9%
F 3034
 
10.0%
C 1517
 
5.0%
D 1517
 
5.0%
8 467
 
1.5%
7 332
 
1.1%
3 326
 
1.1%
Other values (3) 811
 
2.7%

인허가일자
Real number (ℝ)

Distinct1043
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131114
Minimum20070523
Maximum20221025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:33.119017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070523
5-th percentile20080409
Q120091015
median20130220
Q320170104
95-th percentile20191139
Maximum20221025
Range150502
Interquartile range (IQR)79089

Descriptive statistics

Standard deviation40781.686
Coefficient of variation (CV)0.0020258038
Kurtosis-1.2300229
Mean20131114
Median Absolute Deviation (MAD)39292
Skewness0.1634286
Sum3.05389 × 1010
Variance1.6631459 × 109
MonotonicityNot monotonic
2023-12-11T03:52:33.366843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071120 10
 
0.7%
20071115 9
 
0.6%
20080707 8
 
0.5%
20071116 8
 
0.5%
20080709 7
 
0.5%
20071119 7
 
0.5%
20080723 7
 
0.5%
20080717 7
 
0.5%
20080730 6
 
0.4%
20200122 6
 
0.4%
Other values (1033) 1442
95.1%
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 (%)
20221025 1
0.1%
20220808 1
0.1%
20220530 2
0.1%
20220519 1
0.1%
20220422 1
0.1%
20220318 1
0.1%
20220225 1
0.1%
20220121 1
0.1%
20220114 1
0.1%
20211025 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct277
Distinct (%)87.4%
Missing1200
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean20139781
Minimum20080416
Maximum20211230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:33.569319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080416
5-th percentile20081116
Q120110302
median20140916
Q320170614
95-th percentile20200529
Maximum20211230
Range130814
Interquartile range (IQR)60312

Descriptive statistics

Standard deviation37727.676
Coefficient of variation (CV)0.0018732912
Kurtosis-1.1499753
Mean20139781
Median Absolute Deviation (MAD)30593
Skewness0.06530113
Sum6.3843107 × 109
Variance1.4233776 × 109
MonotonicityNot monotonic
2023-12-11T03:52:33.797633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150106 4
 
0.3%
20081224 3
 
0.2%
20190725 3
 
0.2%
20110302 3
 
0.2%
20110418 3
 
0.2%
20081023 3
 
0.2%
20110211 3
 
0.2%
20150828 2
 
0.1%
20190611 2
 
0.1%
20141205 2
 
0.1%
Other values (267) 289
 
19.1%
(Missing) 1200
79.1%
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 (%)
20211230 1
0.1%
20211005 1
0.1%
20210914 1
0.1%
20210820 1
0.1%
20210630 1
0.1%
20210609 1
0.1%
20210514 1
0.1%
20210506 1
0.1%
20201216 2
0.1%
20201008 1
0.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
3
864 
4
413 
1
240 

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 (%)
3 864
57.0%
4 413
27.2%
1 240
 
15.8%

Length

2023-12-11T03:52:33.998290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:34.150720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 864
57.0%
4 413
27.2%
1 240
 
15.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
폐업
864 
취소/말소/만료/정지/중지
413 
영업/정상
240 

Length

Max length14
Median length2
Mean length5.7415953
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 864
57.0%
취소/말소/만료/정지/중지 413
27.2%
영업/정상 240
 
15.8%

Length

2023-12-11T03:52:34.336072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:34.469585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 864
57.0%
취소/말소/만료/정지/중지 413
27.2%
영업/정상 240
 
15.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
3
862 
31
317 
13
240 
35
96 
34
 
2

Length

Max length2
Median length1
Mean length1.4317732
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 862
56.8%
31 317
 
20.9%
13 240
 
15.8%
35 96
 
6.3%
34 2
 
0.1%

Length

2023-12-11T03:52:34.675532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:34.841447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 862
56.8%
31 317
 
20.9%
13 240
 
15.8%
35 96
 
6.3%
34 2
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
폐업
862 
등록취소
317 
영업중
240 
직권말소
96 
영업장폐쇄
 
2

Length

Max length5
Median length2
Mean length2.7066579
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 862
56.8%
등록취소 317
 
20.9%
영업중 240
 
15.8%
직권말소 96
 
6.3%
영업장폐쇄 2
 
0.1%

Length

2023-12-11T03:52:34.995050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:35.173162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 862
56.8%
등록취소 317
 
20.9%
영업중 240
 
15.8%
직권말소 96
 
6.3%
영업장폐쇄 2
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct789
Distinct (%)82.2%
Missing557
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean20147492
Minimum20071226
Maximum20221124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:35.366557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071226
5-th percentile20081027
Q120110210
median20140913
Q320190416
95-th percentile20211012
Maximum20221124
Range149898
Interquartile range (IQR)80206.5

Descriptive statistics

Standard deviation44345.033
Coefficient of variation (CV)0.00220102
Kurtosis-1.3451898
Mean20147492
Median Absolute Deviation (MAD)40188
Skewness0.0083417271
Sum1.9341593 × 1010
Variance1.966482 × 109
MonotonicityNot monotonic
2023-12-11T03:52:35.600803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100209 5
 
0.3%
20190430 4
 
0.3%
20210603 4
 
0.3%
20141117 4
 
0.3%
20171011 3
 
0.2%
20090731 3
 
0.2%
20180131 3
 
0.2%
20090123 3
 
0.2%
20200715 3
 
0.2%
20190722 3
 
0.2%
Other values (779) 925
61.0%
(Missing) 557
36.7%
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 (%)
20221124 1
0.1%
20221111 1
0.1%
20221110 1
0.1%
20221108 1
0.1%
20221027 1
0.1%
20221026 1
0.1%
20221019 1
0.1%
20221014 1
0.1%
20221007 1
0.1%
20220927 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

소재지전화
Text

MISSING 

Distinct131
Distinct (%)96.3%
Missing1381
Missing (%)91.0%
Memory size12.0 KiB
2023-12-11T03:52:36.017937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.6470588
Min length1

Characters and Unicode

Total characters1312
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

Unique128 ?
Unique (%)94.1%

Sample

1st row422-7391
2nd row424-3635
3rd row053-609-3055
4th row424-9287
5th row053-423-1042
ValueCountFrequency (%)
053-620-0001 4
 
2.9%
620-0210 2
 
1.5%
614-2138 2
 
1.5%
633-0041 1
 
0.7%
053-614-1001 1
 
0.7%
741-1672 1
 
0.7%
638-3382 1
 
0.7%
631-1816 1
 
0.7%
6353340 1
 
0.7%
5210339 1
 
0.7%
Other values (122) 122
89.1%
2023-12-11T03:52:36.644024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 187
14.3%
0 176
13.4%
5 163
12.4%
3 135
10.3%
2 116
8.8%
1 106
8.1%
6 100
7.6%
7 98
7.5%
8 87
6.6%
4 77
5.9%
Other values (3) 67
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1123
85.6%
Dash Punctuation 187
 
14.3%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
15.7%
5 163
14.5%
3 135
12.0%
2 116
10.3%
1 106
9.4%
6 100
8.9%
7 98
8.7%
8 87
7.7%
4 77
6.9%
9 65
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 187
14.3%
0 176
13.4%
5 163
12.4%
3 135
10.3%
2 116
8.8%
1 106
8.1%
6 100
7.6%
7 98
7.5%
8 87
6.6%
4 77
5.9%
Other values (3) 67
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 187
14.3%
0 176
13.4%
5 163
12.4%
3 135
10.3%
2 116
8.8%
1 106
8.1%
6 100
7.6%
7 98
7.5%
8 87
6.6%
4 77
5.9%
Other values (3) 67
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)65.3%
Missing1367
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean703911.03
Minimum700091
Maximum711852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:36.871799image/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
2023-12-11T03:52:37.087186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702886 5
 
0.3%
704942 4
 
0.3%
701829 4
 
0.3%
702894 4
 
0.3%
701808 4
 
0.3%
704940 4
 
0.3%
711834 4
 
0.3%
704948 3
 
0.2%
704917 3
 
0.2%
702809 3
 
0.2%
Other values (88) 112
 
7.4%
(Missing) 1367
90.1%
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%

소재지전체주소
Text

Distinct1330
Distinct (%)87.7%
Missing1
Missing (%)0.1%
Memory size12.0 KiB
2023-12-11T03:52:37.702766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length24.21504
Min length16

Characters and Unicode

Total characters36710
Distinct characters234
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

Unique1184 ?
Unique (%)78.1%

Sample

1st row대구광역시 중구 남산동 609-4번지 외 1필지 지상4층
2nd row대구광역시 중구 남산동 698-22번지
3rd row대구광역시 중구 동성로2가 85-5번지
4th row대구광역시 중구 공평동 59-2번지
5th row대구광역시 중구 사일동 15-1번지
ValueCountFrequency (%)
대구광역시 1516
21.7%
달서구 363
 
5.2%
북구 245
 
3.5%
서구 240
 
3.4%
동구 204
 
2.9%
2층 181
 
2.6%
1층 149
 
2.1%
수성구 139
 
2.0%
중구 123
 
1.8%
달성군 106
 
1.5%
Other values (1471) 3709
53.2%
2023-12-11T03:52:38.595260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6944
18.9%
구 2939
 
8.0%
1 1861
 
5.1%
동 1697
 
4.6%
대 1660
 
4.5%
시 1525
 
4.2%
역 1517
 
4.1%
광 1516
 
4.1%
지 1432
 
3.9%
- 1363
 
3.7%
Other values (224) 14256
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20065
54.7%
Decimal Number 7751
 
21.1%
Space Separator 6944
 
18.9%
Dash Punctuation 1363
 
3.7%
Close Punctuation 273
 
0.7%
Open Punctuation 273
 
0.7%
Other Punctuation 19
 
0.1%
Uppercase Letter 18
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2939
14.6%
동 1697
 
8.5%
대 1660
 
8.3%
시 1525
 
7.6%
역 1517
 
7.6%
광 1516
 
7.6%
지 1432
 
7.1%
번 1235
 
6.2%
서 638
 
3.2%
층 547
 
2.7%
Other values (199) 5359
26.7%
Decimal Number
ValueCountFrequency (%)
1 1861
24.0%
2 1179
15.2%
3 866
11.2%
4 646
 
8.3%
0 623
 
8.0%
5 620
 
8.0%
6 562
 
7.3%
9 494
 
6.4%
8 487
 
6.3%
7 413
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 6
33.3%
S 3
16.7%
C 2
 
11.1%
K 2
 
11.1%
E 2
 
11.1%
D 1
 
5.6%
A 1
 
5.6%
Y 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
/ 1
 
5.3%
Space Separator
ValueCountFrequency (%)
6944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1363
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 20065
54.7%
Common 16627
45.3%
Latin 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2939
14.6%
동 1697
 
8.5%
대 1660
 
8.3%
시 1525
 
7.6%
역 1517
 
7.6%
광 1516
 
7.6%
지 1432
 
7.1%
번 1235
 
6.2%
서 638
 
3.2%
층 547
 
2.7%
Other values (199) 5359
26.7%
Common
ValueCountFrequency (%)
6944
41.8%
1 1861
 
11.2%
- 1363
 
8.2%
2 1179
 
7.1%
3 866
 
5.2%
4 646
 
3.9%
0 623
 
3.7%
5 620
 
3.7%
6 562
 
3.4%
9 494
 
3.0%
Other values (7) 1469
 
8.8%
Latin
ValueCountFrequency (%)
B 6
33.3%
S 3
16.7%
C 2
 
11.1%
K 2
 
11.1%
E 2
 
11.1%
D 1
 
5.6%
A 1
 
5.6%
Y 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20065
54.7%
ASCII 16645
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6944
41.7%
1 1861
 
11.2%
- 1363
 
8.2%
2 1179
 
7.1%
3 866
 
5.2%
4 646
 
3.9%
0 623
 
3.7%
5 620
 
3.7%
6 562
 
3.4%
9 494
 
3.0%
Other values (15) 1487
 
8.9%
Hangul
ValueCountFrequency (%)
구 2939
14.6%
동 1697
 
8.5%
대 1660
 
8.3%
시 1525
 
7.6%
역 1517
 
7.6%
광 1516
 
7.6%
지 1432
 
7.1%
번 1235
 
6.2%
서 638
 
3.2%
층 547
 
2.7%
Other values (199) 5359
26.7%

도로명전체주소
Text

MISSING 

Distinct1356
Distinct (%)90.4%
Missing17
Missing (%)1.1%
Memory size12.0 KiB
2023-12-11T03:52:39.349256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length28.400667
Min length19

Characters and Unicode

Total characters42601
Distinct characters281
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

Unique1235 ?
Unique (%)82.3%

Sample

1st row대구광역시 중구 명덕로35길 99 (남산동, 지상4층)
2nd row대구광역시 중구 명륜로 70 (남산동)
3rd row대구광역시 중구 동성로 37-2 (동성로2가)
4th row대구광역시 중구 동성로6길 58 (공평동)
5th row대구광역시 중구 국채보상로 585 (사일동)
ValueCountFrequency (%)
대구광역시 1500
 
17.5%
달서구 362
 
4.2%
1층 311
 
3.6%
북구 243
 
2.8%
서구 239
 
2.8%
동구 204
 
2.4%
2층 181
 
2.1%
수성구 138
 
1.6%
중구 113
 
1.3%
달성군 105
 
1.2%
Other values (1347) 5189
60.4%
2023-12-11T03:52:40.275453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7505
17.6%
구 3111
 
7.3%
동 1971
 
4.6%
대 1949
 
4.6%
1 1739
 
4.1%
( 1591
 
3.7%
) 1591
 
3.7%
로 1535
 
3.6%
시 1524
 
3.6%
역 1511
 
3.5%
Other values (271) 18574
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23802
55.9%
Space Separator 7505
 
17.6%
Decimal Number 6678
 
15.7%
Open Punctuation 1591
 
3.7%
Close Punctuation 1591
 
3.7%
Other Punctuation 1082
 
2.5%
Dash Punctuation 316
 
0.7%
Uppercase Letter 31
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3111
 
13.1%
동 1971
 
8.3%
대 1949
 
8.2%
로 1535
 
6.4%
시 1524
 
6.4%
역 1511
 
6.3%
광 1502
 
6.3%
층 900
 
3.8%
서 852
 
3.6%
달 650
 
2.7%
Other values (244) 8297
34.9%
Decimal Number
ValueCountFrequency (%)
1 1739
26.0%
2 1188
17.8%
3 740
11.1%
5 520
 
7.8%
4 509
 
7.6%
0 504
 
7.5%
6 428
 
6.4%
8 379
 
5.7%
9 338
 
5.1%
7 333
 
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%
D 1
 
3.2%
X 1
 
3.2%
C 1
 
3.2%
M 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 1081
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7505
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1591
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1591
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23802
55.9%
Common 18768
44.1%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3111
 
13.1%
동 1971
 
8.3%
대 1949
 
8.2%
로 1535
 
6.4%
시 1524
 
6.4%
역 1511
 
6.3%
광 1502
 
6.3%
층 900
 
3.8%
서 852
 
3.6%
달 650
 
2.7%
Other values (244) 8297
34.9%
Common
ValueCountFrequency (%)
7505
40.0%
1 1739
 
9.3%
( 1591
 
8.5%
) 1591
 
8.5%
2 1188
 
6.3%
, 1081
 
5.8%
3 740
 
3.9%
5 520
 
2.8%
4 509
 
2.7%
0 504
 
2.7%
Other values (7) 1800
 
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%
D 1
 
3.2%
X 1
 
3.2%
C 1
 
3.2%
M 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23802
55.9%
ASCII 18799
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7505
39.9%
1 1739
 
9.3%
( 1591
 
8.5%
) 1591
 
8.5%
2 1188
 
6.3%
, 1081
 
5.8%
3 740
 
3.9%
5 520
 
2.8%
4 509
 
2.7%
0 504
 
2.7%
Other values (17) 1831
 
9.7%
Hangul
ValueCountFrequency (%)
구 3111
 
13.1%
동 1971
 
8.3%
대 1949
 
8.2%
로 1535
 
6.4%
시 1524
 
6.4%
역 1511
 
6.3%
광 1502
 
6.3%
층 900
 
3.8%
서 852
 
3.6%
달 650
 
2.7%
Other values (244) 8297
34.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct448
Distinct (%)43.8%
Missing494
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean178035.39
Minimum41026
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:40.676317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41118.1
Q141716
median42424
Q342954
95-th percentile704940
Maximum711872
Range670846
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation267687.31
Coefficient of variation (CV)1.5035624
Kurtosis0.13658031
Mean178035.39
Median Absolute Deviation (MAD)644
Skewness1.4615636
Sum1.821302 × 108
Variance7.1656496 × 1010
MonotonicityNot monotonic
2023-12-11T03:52:40.930436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41942 23
 
1.5%
41941 23
 
1.5%
41423 20
 
1.3%
42612 12
 
0.8%
43018 12
 
0.8%
42274 12
 
0.8%
41713 11
 
0.7%
42691 11
 
0.7%
41937 10
 
0.7%
42786 9
 
0.6%
Other values (438) 880
58.0%
(Missing) 494
32.6%
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%

사업장명
Text

Distinct1076
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T03:52:41.383016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length5.6974291
Min length1

Characters and Unicode

Total characters8643
Distinct characters482
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

Unique843 ?
Unique (%)55.6%

Sample

1st row원게임랜드
2nd row남문오락실
3rd row퍼니
4th row놀이마당
5th row(주)안다미로엔터동성로점
ValueCountFrequency (%)
게임랜드 72
 
4.2%
오락실 41
 
2.4%
대박게임랜드 16
 
0.9%
황금게임랜드 13
 
0.8%
행운오락실 13
 
0.8%
짱구게임장 11
 
0.6%
씽씽쏭쏭 10
 
0.6%
대박오락실 9
 
0.5%
토이샵 9
 
0.5%
보물섬 9
 
0.5%
Other values (1081) 1505
88.1%
2023-12-11T03:52:42.030833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 643
 
7.4%
임 633
 
7.3%
드 576
 
6.7%
랜 511
 
5.9%
오 491
 
5.7%
락 446
 
5.2%
실 442
 
5.1%
191
 
2.2%
뽑 187
 
2.2%
이 154
 
1.8%
Other values (472) 4369
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8166
94.5%
Space Separator 191
 
2.2%
Uppercase Letter 94
 
1.1%
Lowercase Letter 46
 
0.5%
Decimal Number 45
 
0.5%
Open Punctuation 44
 
0.5%
Close Punctuation 44
 
0.5%
Other Punctuation 10
 
0.1%
Dash Punctuation 2
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 643
 
7.9%
임 633
 
7.8%
드 576
 
7.1%
랜 511
 
6.3%
오 491
 
6.0%
락 446
 
5.5%
실 442
 
5.4%
뽑 187
 
2.3%
이 154
 
1.9%
장 137
 
1.7%
Other values (416) 3946
48.3%
Uppercase Letter
ValueCountFrequency (%)
P 8
 
8.5%
A 8
 
8.5%
N 8
 
8.5%
T 6
 
6.4%
I 6
 
6.4%
K 6
 
6.4%
G 5
 
5.3%
F 5
 
5.3%
U 5
 
5.3%
E 4
 
4.3%
Other values (14) 33
35.1%
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%
a 2
 
4.3%
m 2
 
4.3%
h 2
 
4.3%
Other values (5) 5
10.9%
Decimal Number
ValueCountFrequency (%)
2 12
26.7%
4 8
17.8%
1 7
15.6%
0 7
15.6%
3 5
11.1%
8 3
 
6.7%
5 1
 
2.2%
9 1
 
2.2%
7 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
# 5
50.0%
. 4
40.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8166
94.5%
Common 337
 
3.9%
Latin 140
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 643
 
7.9%
임 633
 
7.8%
드 576
 
7.1%
랜 511
 
6.3%
오 491
 
6.0%
락 446
 
5.5%
실 442
 
5.4%
뽑 187
 
2.3%
이 154
 
1.9%
장 137
 
1.7%
Other values (416) 3946
48.3%
Latin
ValueCountFrequency (%)
P 8
 
5.7%
A 8
 
5.7%
n 8
 
5.7%
N 8
 
5.7%
T 6
 
4.3%
o 6
 
4.3%
y 6
 
4.3%
I 6
 
4.3%
K 6
 
4.3%
G 5
 
3.6%
Other values (29) 73
52.1%
Common
ValueCountFrequency (%)
191
56.7%
( 44
 
13.1%
) 44
 
13.1%
2 12
 
3.6%
4 8
 
2.4%
1 7
 
2.1%
0 7
 
2.1%
3 5
 
1.5%
# 5
 
1.5%
. 4
 
1.2%
Other values (7) 10
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8166
94.5%
ASCII 477
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 643
 
7.9%
임 633
 
7.8%
드 576
 
7.1%
랜 511
 
6.3%
오 491
 
6.0%
락 446
 
5.5%
실 442
 
5.4%
뽑 187
 
2.3%
이 154
 
1.9%
장 137
 
1.7%
Other values (416) 3946
48.3%
ASCII
ValueCountFrequency (%)
191
40.0%
( 44
 
9.2%
) 44
 
9.2%
2 12
 
2.5%
P 8
 
1.7%
A 8
 
1.7%
n 8
 
1.7%
4 8
 
1.7%
N 8
 
1.7%
1 7
 
1.5%
Other values (46) 139
29.1%

최종수정시점
Real number (ℝ)

Distinct1516
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154516 × 1013
Minimum2.0071226 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:42.295138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0071226 × 1013
5-th percentile2.0081127 × 1013
Q12.011103 × 1013
median2.016033 × 1013
Q32.0190924 × 1013
95-th percentile2.0220444 × 1013
Maximum2.022113 × 1013
Range1.4990402 × 1011
Interquartile range (IQR)7.989397 × 1010

Descriptive statistics

Standard deviation4.4245448 × 1010
Coefficient of variation (CV)0.0021953119
Kurtosis-1.2750312
Mean2.0154516 × 1013
Median Absolute Deviation (MAD)3.9804985 × 1010
Skewness-0.18490977
Sum3.05744 × 1016
Variance1.9576596 × 1021
MonotonicityNot monotonic
2023-12-11T03:52:42.553010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190823170655 2
 
0.1%
20141229120512 1
 
0.1%
20160830173254 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%
20150415114917 1
 
0.1%
Other values (1506) 1506
99.3%
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 (%)
20221130150549 1
0.1%
20221124160459 1
0.1%
20221111133058 1
0.1%
20221111102006 1
0.1%
20221110172518 1
0.1%
20221108154251 1
0.1%
20221102154105 1
0.1%
20221027145529 1
0.1%
20221026095835 1
0.1%
20221025093855 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
I
1003 
U
514 

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 1003
66.1%
U 514
33.9%

Length

2023-12-11T03:52:42.845129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:43.001351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1003
66.1%
u 514
33.9%

데이터갱신일자
Date

Distinct394
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2023-12-11T03:52:43.173610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:52:43.767800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1063
Distinct (%)70.9%
Missing17
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean342102.06
Minimum327886.99
Maximum357933.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:43.993428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327886.99
5-th percentile333504.11
Q1339503.21
median341326.66
Q3345059.14
95-th percentile353103.83
Maximum357933.24
Range30046.245
Interquartile range (IQR)5555.9345

Descriptive statistics

Standard deviation5173.739
Coefficient of variation (CV)0.015123379
Kurtosis0.57219877
Mean342102.06
Median Absolute Deviation (MAD)2831.6419
Skewness0.24141397
Sum5.1315309 × 108
Variance26767576
MonotonicityNot monotonic
2023-12-11T03:52:44.221159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340820.416584639 7
 
0.5%
347970.053425989 7
 
0.5%
339638.7472774 7
 
0.5%
340333.574513192 7
 
0.5%
340616.952958188 6
 
0.4%
345554.836521868 6
 
0.4%
340793.237000053 6
 
0.4%
341301.55473492 6
 
0.4%
340514.869464971 5
 
0.3%
338200.549979674 5
 
0.3%
Other values (1053) 1438
94.8%
(Missing) 17
 
1.1%
ValueCountFrequency (%)
327886.992564244 1
 
0.1%
328011.606644568 1
 
0.1%
328011.91963949 1
 
0.1%
328048.319653221 1
 
0.1%
328545.392837163 1
 
0.1%
329310.702210649 1
 
0.1%
329739.83012979 1
 
0.1%
330013.03578216 3
0.2%
330127.224823319 1
 
0.1%
330194.168455353 1
 
0.1%
ValueCountFrequency (%)
357933.237728742 1
0.1%
356353.915440362 2
0.1%
356329.958035791 1
0.1%
356245.050638655 1
0.1%
356070.015685952 2
0.1%
355855.955513013 1
0.1%
355759.028695703 1
0.1%
355749.747027684 1
0.1%
355736.0571014 1
0.1%
355729.578667796 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1063
Distinct (%)70.9%
Missing17
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean263334.65
Minimum238771.73
Maximum277784.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:44.448113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238771.73
5-th percentile257129.18
Q1261254.7
median264100.27
Q3266000.25
95-th percentile270702.23
Maximum277784.13
Range39012.406
Interquartile range (IQR)4745.5534

Descriptive statistics

Standard deviation4872.925
Coefficient of variation (CV)0.018504686
Kurtosis4.6125453
Mean263334.65
Median Absolute Deviation (MAD)2243.7727
Skewness-1.3761794
Sum3.9500198 × 108
Variance23745398
MonotonicityNot monotonic
2023-12-11T03:52:44.667118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266463.100546317 7
 
0.5%
265400.514996412 7
 
0.5%
258034.934254348 7
 
0.5%
264421.507192138 7
 
0.5%
266219.271085846 6
 
0.4%
260350.651119465 6
 
0.4%
272577.250457857 6
 
0.4%
262585.135012198 6
 
0.4%
263917.841037408 5
 
0.3%
260875.858690509 5
 
0.3%
Other values (1053) 1438
94.8%
(Missing) 17
 
1.1%
ValueCountFrequency (%)
238771.728900325 1
0.1%
240219.763776562 1
0.1%
240228.190340172 1
0.1%
240452.846683565 1
0.1%
240453.11628455 1
0.1%
244532.532589328 1
0.1%
244540.724663233 1
0.1%
244588.359288703 1
0.1%
244588.687564538 1
0.1%
244602.495259684 1
0.1%
ValueCountFrequency (%)
277784.134758359 1
 
0.1%
273780.0839881 1
 
0.1%
273573.031507575 1
 
0.1%
273543.383721685 3
0.2%
273385.329699692 1
 
0.1%
272975.982996994 1
 
0.1%
272745.453479356 1
 
0.1%
272689.28635 1
 
0.1%
272659.975074019 2
0.1%
272656.837765927 2
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
청소년게임제공업
1517 

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 1517
100.0%

Length

2023-12-11T03:52:44.882053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:45.024209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 1517
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
유통관련업
1517 

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 1517
100.0%

Length

2023-12-11T03:52:45.192649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:45.323959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1517
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)1.4%
Missing81
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean4.2966574
Minimum0
Maximum22
Zeros11
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:45.456789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.278459
Coefficient of variation (CV)0.53028641
Kurtosis7.5283244
Mean4.2966574
Median Absolute Deviation (MAD)1
Skewness1.8370802
Sum6170
Variance5.1913756
MonotonicityNot monotonic
2023-12-11T03:52:45.632580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 319
21.0%
5 288
19.0%
3 271
17.9%
6 161
10.6%
2 160
10.5%
1 88
 
5.8%
7 52
 
3.4%
8 23
 
1.5%
9 20
 
1.3%
10 11
 
0.7%
Other values (10) 43
 
2.8%
(Missing) 81
 
5.3%
ValueCountFrequency (%)
0 11
 
0.7%
1 88
 
5.8%
2 160
10.5%
3 271
17.9%
4 319
21.0%
5 288
19.0%
6 161
10.6%
7 52
 
3.4%
8 23
 
1.5%
9 20
 
1.3%
ValueCountFrequency (%)
22 1
 
0.1%
19 1
 
0.1%
17 1
 
0.1%
16 2
 
0.1%
15 4
 
0.3%
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 size12.0 KiB
기타
675 
<NA>
528 
주택가주변
129 
유흥업소밀집지역
119 
학교정화(상대)
 
40
Other values (3)
 
26

Length

Max length8
Median length7
Mean length3.6361239
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 675
44.5%
<NA> 528
34.8%
주택가주변 129
 
8.5%
유흥업소밀집지역 119
 
7.8%
학교정화(상대) 40
 
2.6%
아파트지역 23
 
1.5%
결혼예식장주변 2
 
0.1%
학교정화(절대) 1
 
0.1%

Length

2023-12-11T03:52:45.847540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:46.027745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 675
44.5%
na 528
34.8%
주택가주변 129
 
8.5%
유흥업소밀집지역 119
 
7.8%
학교정화(상대 40
 
2.6%
아파트지역 23
 
1.5%
결혼예식장주변 2
 
0.1%
학교정화(절대 1
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct876
Distinct (%)80.5%
Missing429
Missing (%)28.3%
Memory size12.0 KiB
2023-12-11T03:52:46.395199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length160
Median length97
Mean length13.931066
Min length1

Characters and Unicode

Total characters15157
Distinct characters508
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

Unique782 ?
Unique (%)71.9%

Sample

1st row북두의 권
2nd row마켓크레프트3
3rd row뽀끼뽀끼2
4th row스마일토이
5th row코코짱, 짱
ValueCountFrequency (%)
1 61
 
2.4%
1대 56
 
2.2%
토이즈팝 55
 
2.2%
34
 
1.4%
곰탱이 33
 
1.3%
40대 32
 
1.3%
유니온 28
 
1.1%
알라딘 26
 
1.0%
아케이드 24
 
1.0%
코코짱 24
 
1.0%
Other values (1268) 2143
85.2%
2023-12-11T03:52:47.095004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1432
 
9.4%
, 673
 
4.4%
1 535
 
3.5%
0 473
 
3.1%
이 462
 
3.0%
대 387
 
2.6%
2 373
 
2.5%
( 363
 
2.4%
) 362
 
2.4%
스 348
 
2.3%
Other values (498) 9749
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8620
56.9%
Decimal Number 1963
 
13.0%
Space Separator 1432
 
9.4%
Uppercase Letter 966
 
6.4%
Other Punctuation 753
 
5.0%
Lowercase Letter 443
 
2.9%
Open Punctuation 363
 
2.4%
Close Punctuation 362
 
2.4%
Dash Punctuation 247
 
1.6%
Control 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 462
 
5.4%
대 387
 
4.5%
스 348
 
4.0%
아 203
 
2.4%
토 201
 
2.3%
드 196
 
2.3%
트 194
 
2.3%
즈 137
 
1.6%
오 127
 
1.5%
리 126
 
1.5%
Other values (425) 6239
72.4%
Uppercase Letter
ValueCountFrequency (%)
C 157
16.3%
A 144
14.9%
N 114
11.8%
O 59
 
6.1%
E 54
 
5.6%
T 54
 
5.6%
P 42
 
4.3%
R 41
 
4.2%
S 40
 
4.1%
I 34
 
3.5%
Other values (16) 227
23.5%
Lowercase Letter
ValueCountFrequency (%)
e 54
12.2%
o 45
 
10.2%
n 40
 
9.0%
a 37
 
8.4%
s 31
 
7.0%
r 26
 
5.9%
i 24
 
5.4%
l 22
 
5.0%
t 19
 
4.3%
p 19
 
4.3%
Other values (14) 126
28.4%
Decimal Number
ValueCountFrequency (%)
1 535
27.3%
0 473
24.1%
2 373
19.0%
4 148
 
7.5%
3 122
 
6.2%
5 96
 
4.9%
8 64
 
3.3%
6 54
 
2.8%
9 51
 
2.6%
7 47
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 673
89.4%
: 50
 
6.6%
. 24
 
3.2%
/ 5
 
0.7%
& 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
1432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8614
56.8%
Common 5125
33.8%
Latin 1412
 
9.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 462
 
5.4%
대 387
 
4.5%
스 348
 
4.0%
아 203
 
2.4%
토 201
 
2.3%
드 196
 
2.3%
트 194
 
2.3%
즈 137
 
1.6%
오 127
 
1.5%
리 126
 
1.5%
Other values (422) 6233
72.4%
Latin
ValueCountFrequency (%)
C 157
 
11.1%
A 144
 
10.2%
N 114
 
8.1%
O 59
 
4.2%
e 54
 
3.8%
E 54
 
3.8%
T 54
 
3.8%
o 45
 
3.2%
P 42
 
3.0%
R 41
 
2.9%
Other values (42) 648
45.9%
Common
ValueCountFrequency (%)
1432
27.9%
, 673
13.1%
1 535
 
10.4%
0 473
 
9.2%
2 373
 
7.3%
( 363
 
7.1%
) 362
 
7.1%
- 247
 
4.8%
4 148
 
2.9%
3 122
 
2.4%
Other values (11) 397
 
7.7%
Han
ValueCountFrequency (%)
新 2
33.3%
神 2
33.3%
女 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8614
56.8%
ASCII 6533
43.1%
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 (%)
1432
21.9%
, 673
 
10.3%
1 535
 
8.2%
0 473
 
7.2%
2 373
 
5.7%
( 363
 
5.6%
) 362
 
5.5%
- 247
 
3.8%
C 157
 
2.4%
4 148
 
2.3%
Other values (60) 1770
27.1%
Hangul
ValueCountFrequency (%)
이 462
 
5.4%
대 387
 
4.5%
스 348
 
4.0%
아 203
 
2.4%
토 201
 
2.3%
드 196
 
2.3%
트 194
 
2.3%
즈 137
 
1.6%
오 127
 
1.5%
리 126
 
1.5%
Other values (422) 6233
72.4%
CJK
ValueCountFrequency (%)
新 2
50.0%
神 2
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
女 2
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

시설면적
Real number (ℝ)

Distinct1247
Distinct (%)82.3%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean125.65776
Minimum9
Maximum1239.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:47.280274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile24.575
Q160.475
median115.925
Q3169.6575
95-th percentile260.36
Maximum1239.74
Range1230.74
Interquartile range (IQR)109.1825

Descriptive statistics

Standard deviation90.240811
Coefficient of variation (CV)0.71814755
Kurtosis31.465877
Mean125.65776
Median Absolute Deviation (MAD)53.985
Skewness3.474742
Sum190497.16
Variance8143.404
MonotonicityNot monotonic
2023-12-11T03:52:47.545980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.0 6
 
0.4%
210.0 6
 
0.4%
110.48 6
 
0.4%
170.86 5
 
0.3%
118.0 5
 
0.3%
115.2 5
 
0.3%
142.3 4
 
0.3%
48.0 4
 
0.3%
120.0 4
 
0.3%
207.92 4
 
0.3%
Other values (1237) 1467
96.7%
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 (%)
1239.74 1
0.1%
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%
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 

Distinct15
Distinct (%)1.1%
Missing106
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean2.1247342
Minimum0
Maximum123
Zeros8
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:47.736757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum123
Range123
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5889949
Coefficient of variation (CV)1.68915
Kurtosis913.93774
Mean2.1247342
Median Absolute Deviation (MAD)1
Skewness27.358041
Sum2998
Variance12.880884
MonotonicityNot monotonic
2023-12-11T03:52:47.938022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 674
44.4%
2 404
26.6%
3 148
 
9.8%
4 69
 
4.5%
5 59
 
3.9%
7 16
 
1.1%
6 14
 
0.9%
0 8
 
0.5%
9 5
 
0.3%
8 4
 
0.3%
Other values (5) 10
 
0.7%
(Missing) 106
 
7.0%
ValueCountFrequency (%)
0 8
 
0.5%
1 674
44.4%
2 404
26.6%
3 148
 
9.8%
4 69
 
4.5%
5 59
 
3.9%
6 14
 
0.9%
7 16
 
1.1%
8 4
 
0.3%
9 5
 
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 16
 
1.1%
6 14
 
0.9%
5 59
3.9%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1222 
1
196 
0
 
80
2
 
12
3
 
6

Length

Max length4
Median length4
Mean length3.4166117
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1222
80.6%
1 196
 
12.9%
0 80
 
5.3%
2 12
 
0.8%
3 6
 
0.4%
4 1
 
0.1%

Length

2023-12-11T03:52:48.122397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:48.280297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1222
80.6%
1 196
 
12.9%
0 80
 
5.3%
2 12
 
0.8%
3 6
 
0.4%
4 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
근린생활시설
1140 
<NA>
262 
판매시설
 
42
사무실
 
23
기타
 
18
Other values (11)
 
32

Length

Max length15
Median length6
Mean length5.4838497
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 1140
75.1%
<NA> 262
 
17.3%
판매시설 42
 
2.8%
사무실 23
 
1.5%
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) 9
 
0.6%

Length

2023-12-11T03:52:48.454262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
근린생활시설 1140
75.1%
na 262
 
17.3%
판매시설 42
 
2.8%
사무실 23
 
1.5%
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) 10
 
0.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1446 
0
 
71

Length

Max length4
Median length4
Mean length3.8595913
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> 1446
95.3%
0 71
 
4.7%

Length

2023-12-11T03:52:48.637526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:48.799212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1446
95.3%
0 71
 
4.7%

조명시설조도
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)7.5%
Missing1184
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean44.942943
Minimum0
Maximum400
Zeros66
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:48.980576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median40
Q350
95-th percentile102
Maximum400
Range400
Interquartile range (IQR)10

Descriptive statistics

Standard deviation41.808943
Coefficient of variation (CV)0.93026714
Kurtosis23.384053
Mean44.942943
Median Absolute Deviation (MAD)10
Skewness3.6904371
Sum14966
Variance1747.9877
MonotonicityNot monotonic
2023-12-11T03:52:49.187654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
40 147
 
9.7%
0 66
 
4.4%
50 34
 
2.2%
60 18
 
1.2%
70 17
 
1.1%
80 11
 
0.7%
45 9
 
0.6%
150 4
 
0.3%
42 4
 
0.3%
130 4
 
0.3%
Other values (15) 19
 
1.3%
(Missing) 1184
78.0%
ValueCountFrequency (%)
0 66
4.4%
12 1
 
0.1%
40 147
9.7%
42 4
 
0.3%
43 2
 
0.1%
45 9
 
0.6%
50 34
 
2.2%
55 3
 
0.2%
60 18
 
1.2%
70 17
 
1.1%
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
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1446 
0
 
71

Length

Max length4
Median length4
Mean length3.8595913
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> 1446
95.3%
0 71
 
4.7%

Length

2023-12-11T03:52:49.410850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:49.585692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1446
95.3%
0 71
 
4.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
<NA>
1446 
0
 
71

Length

Max length4
Median length4
Mean length3.8595913
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> 1446
95.3%
0 71
 
4.7%

Length

2023-12-11T03:52:49.744762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:49.911660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1446
95.3%
0 71
 
4.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)5.0%
Missing152
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean30.449817
Minimum0
Maximum168
Zeros4
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T03:52:50.088621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median40
Q340
95-th percentile50
Maximum168
Range168
Interquartile range (IQR)25

Descriptive statistics

Standard deviation15.290774
Coefficient of variation (CV)0.5021631
Kurtosis4.2096323
Mean30.449817
Median Absolute Deviation (MAD)10
Skewness0.47132362
Sum41564
Variance233.80778
MonotonicityNot monotonic
2023-12-11T03:52:50.316739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 560
36.9%
10 68
 
4.5%
50 56
 
3.7%
30 51
 
3.4%
20 51
 
3.4%
12 42
 
2.8%
11 33
 
2.2%
8 32
 
2.1%
14 29
 
1.9%
9 26
 
1.7%
Other values (58) 417
27.5%
(Missing) 152
 
10.0%
ValueCountFrequency (%)
0 4
 
0.3%
1 5
 
0.3%
2 1
 
0.1%
4 5
 
0.3%
5 13
 
0.9%
6 11
 
0.7%
7 25
 
1.6%
8 32
2.1%
9 26
 
1.7%
10 68
4.5%
ValueCountFrequency (%)
168 1
 
0.1%
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 1
 
0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
전체이용가
1475 
<NA>
 
37
청소년이용불가
 
4
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.9874753
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 1475
97.2%
<NA> 37
 
2.4%
청소년이용불가 4
 
0.3%
전체이용가 및 청소년이용불가 1
 
0.1%

Length

2023-12-11T03:52:50.533646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:52:50.720046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 1476
97.2%
na 37
 
2.4%
청소년이용불가 5
 
0.3%
및 1
 
0.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1517
Missing (%)100.0%
Memory size13.5 KiB

지역구분명
Categorical

Distinct13
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
일반주거지역
419 
일반상업지역
277 
<NA>
218 
중심상업지역
208 
근린상업지역
167 
Other values (8)
228 

Length

Max length6
Median length6
Mean length5.5154911
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반주거지역 419
27.6%
일반상업지역 277
18.3%
<NA> 218
14.4%
중심상업지역 208
13.7%
근린상업지역 167
 
11.0%
준주거지역 113
 
7.4%
상업지역 50
 
3.3%
주거지역 38
 
2.5%
자연녹지지역 13
 
0.9%
일반공업지역 6
 
0.4%
Other values (3) 8
 
0.5%

Length

2023-12-11T03:52:50.958143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반주거지역 419
27.6%
일반상업지역 277
18.3%
na 218
14.4%
중심상업지역 208
13.7%
근린상업지역 167
 
11.0%
준주거지역 113
 
7.4%
상업지역 50
 
3.3%
주거지역 38
 
2.5%
자연녹지지역 13
 
0.9%
일반공업지역 6
 
0.4%
Other values (3) 8
 
0.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01청소년게임제공업03_05_07_P3410000CDFF224114201400000220140618<NA>3폐업3폐업20141229<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 609-4번지 외 1필지 지상4층대구광역시 중구 명덕로35길 99 (남산동, 지상4층)700835원게임랜드20141229120512I2018-08-31 23:59:59.0<NA>343517.568849263484.130401청소년게임제공업유통관련업4기타북두의 권154.841사무실<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47<NA>전체이용가<NA><NA><NA>일반주거지역
12청소년게임제공업03_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
23청소년게임제공업03_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
34청소년게임제공업03_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
45청소년게임제공업03_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
56청소년게임제공업03_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
67청소년게임제공업03_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><NA><NA>청소년게임제공업유통관련업1기타마켓크레프트340.81<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20<NA>전체이용가<NA><NA><NA>중심상업지역
78청소년게임제공업03_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
89청소년게임제공업03_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
910청소년게임제공업03_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
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
15071508청소년게임제공업03_05_07_P3480000CDFF224114201800000220180119<NA>3폐업3폐업20200205<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1578-3번지대구광역시 달성군 다사읍 세천북로 11, 1층42922토이랜드20200205173619U2020-02-07 02:40:00.0<NA>333504.805031264967.099586청소년게임제공업유통관련업1<NA>토이즈팝 10대, 자이언트키마스터 1대, 하노이의탑 1대31.61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA>전체이용가<NA><NA><NA><NA>
15081509청소년게임제공업03_05_07_P3480000CDFF224114201800000420180122<NA>3폐업3폐업20200129<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명곡리 202-2번지대구광역시 달성군 화원읍 성화로 27, 1층42946인형가게 뽑고가게20200129105206U2020-01-31 02:40:00.0<NA>334586.315065256648.569504청소년게임제공업유통관련업2<NA>곰탱이 4대, 맘모스 2대, 썬컷 1대16.41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA>
15091510청소년게임제공업03_05_07_P3480000CDFF224114201800000520180321<NA>3폐업3폐업20201109<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-221대구광역시 달성군 논공읍 논공로5길 220, 2층42979비슬산오락실20201109171028U2020-11-11 02:40:00.0<NA>330798.322303248832.161628청소년게임제공업유통관련업3<NA>드래곤v2 : 40대107.02<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA><NA>
15101511청소년게임제공업03_05_07_P3480000CDFF224114201800000920180514<NA>3폐업3폐업20210903<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 91대구광역시 달성군 다사읍 서재로 137, 1층42924코코인형방20210903175904U2021-09-05 02:40:00.0<NA>335126.439535264967.821838청소년게임제공업유통관련업1<NA>럭셔리자이언츠 4대, 자이언트캡쳐 8대45.21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA>전체이용가<NA><NA><NA><NA>
15111512청소년게임제공업03_05_07_P3480000CDFF224114201900000420190820<NA>3폐업3폐업20210303<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 성하리 272 현풍휴게소대구광역시 달성군 현풍읍 성하길 48, 현풍휴게소(하) 1층43001풀무원식품(주)-맥스원20210303091530U2021-03-05 02:40:00.0<NA>329739.83013245635.577929청소년게임제공업유통관련업3<NA>슈퍼루키2(SUPER ROOKIE2) 2대,화이트캐슬(whitecastle): 1대, 스피드하키2(SPEED HOCKEY 2): 1대, new Galaxy Puls (뉴 갤럭시 펄스): 1대, ICE MAN(아이스 맨): 1대, 스위트랜드4브라이트버전: 1대46.221<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA>녹지지역
15121513청소년게임제공업03_05_07_P3480000CDFF224114201900000620190830<NA>3폐업3폐업20220111<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1588 북죽곡엠코타운더솔레뉴 303동 110호대구광역시 달성군 다사읍 세천로 160, 303동 지하1층 110호 (북죽곡엠코타운더솔레뉴)42930뽑Go가즈아20220111132038U2022-01-13 02:40:00.0<NA>333525.590022264746.195296청소년게임제공업유통관련업<NA><NA>알라딘 알파(ALADDIN ALPHA): 8대, 철권6: 1대, ICE GUN(아이스건): 1대, DINO HUNTER(디노 헌터): 1대35.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
15131514청소년게임제공업03_05_07_P3480000CDFF224114201900000920191217<NA>3폐업3폐업20220926<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-91대구광역시 달성군 논공읍 논공로5길 161, 1층42979놀러오락뽑기방20220926165314U2022-09-28 02:40:00.0<NA>330527.940954248741.76572청소년게임제공업유통관련업3<NA>코코짱 (COCO ZZANG) : 15대,MENTOS(멘토스) : 1대,스피드(SPEED) : 1대,Toys Pop (토이즈팝) : 1대51.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18<NA>전체이용가<NA><NA><NA>일반주거지역
15141515청소년게임제공업03_05_07_P3480000CDFF224114201900000820191114<NA>3폐업3폐업20211019<NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 교항리 2900대구광역시 달성군 옥포읍 돌미상업로1길 6, 1층42974FUN&JOY20211019164039U2021-10-21 02:40:00.0<NA>330207.988039254541.883117청소년게임제공업유통관련업5<NA><NA>42.95<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
15151516청소년게임제공업03_05_07_P3480000CDFF224114202200000120220225<NA>3폐업3폐업20220413<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 497-1대구광역시 달성군 현풍읍 테크노상업로 34, 2층43017테크노랜드20220413173222U2022-04-15 02:40:00.0<NA>331411.67369244532.532589청소년게임제공업유통관련업6기타아케이드게임197.5261근린생활시설04000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA>일반상업지역
15161517청소년게임제공업03_05_07_P3480000CDFF224114202000000220200225<NA>3폐업3폐업20210524<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 126-8대구광역시 달성군 화원읍 화원로3길 14-3, 1층42954인형가게 뽑고가게20210524151724U2021-05-26 02:40:00.0<NA>335432.083912257225.077904청소년게임제공업유통관련업1<NA>곰탱이, 유니온(union), MENTOS(멘토스), 크레언즈 ver.2 ( creons ver.2 ), 맘모스(Mammoth)30.33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA>일반주거지역