Overview

Dataset statistics

Number of variables59
Number of observations2975
Missing cells65306
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory508.0 B

Variable types

Numeric18
Categorical15
Text5
Unsupported14
DateTime1
Boolean6

Dataset

Description6270000_대구광역시_03_09_01_P_노래연습장업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000068124&dataSetDetailId=DDI_0000068139&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
상세영업상태명 is highly imbalanced (56.0%)Imbalance
휴업시작일자 is highly imbalanced (99.4%)Imbalance
휴업종료일자 is highly imbalanced (99.4%)Imbalance
주변환경명 is highly imbalanced (58.8%)Imbalance
지하층수 is highly imbalanced (55.8%)Imbalance
건물용도명 is highly imbalanced (65.7%)Imbalance
제공게임물명 is highly imbalanced (98.2%)Imbalance
인허가취소일자 has 2951 (99.2%) missing valuesMissing
폐업일자 has 1908 (64.1%) missing valuesMissing
재개업일자 has 2975 (100.0%) missing valuesMissing
소재지전화 has 443 (14.9%) missing valuesMissing
소재지면적 has 2975 (100.0%) missing valuesMissing
소재지우편번호 has 2498 (84.0%) missing valuesMissing
도로명전체주소 has 97 (3.3%) missing valuesMissing
도로명우편번호 has 1334 (44.8%) missing valuesMissing
업태구분명 has 2975 (100.0%) missing valuesMissing
좌표정보(X) has 40 (1.3%) missing valuesMissing
좌표정보(Y) has 40 (1.3%) missing valuesMissing
총층수 has 1151 (38.7%) missing valuesMissing
제작취급품목내용 has 2975 (100.0%) missing valuesMissing
시설면적 has 75 (2.5%) missing valuesMissing
지상층수 has 1681 (56.5%) missing valuesMissing
통로너비 has 2575 (86.6%) missing valuesMissing
조명시설조도 has 2647 (89.0%) missing valuesMissing
노래방실수 has 815 (27.4%) missing valuesMissing
청소년실수 has 2151 (72.3%) missing valuesMissing
비상계단여부 has 287 (9.6%) missing valuesMissing
비상구여부 has 247 (8.3%) missing valuesMissing
자동환기여부 has 333 (11.2%) missing valuesMissing
청소년실여부 has 1687 (56.7%) missing valuesMissing
특수조명여부 has 404 (13.6%) missing valuesMissing
방음시설여부 has 292 (9.8%) missing valuesMissing
비디오재생기명 has 2975 (100.0%) missing valuesMissing
조명시설유무 has 2975 (100.0%) missing valuesMissing
음향시설여부 has 2975 (100.0%) missing valuesMissing
편의시설여부 has 2975 (100.0%) missing valuesMissing
소방시설여부 has 2975 (100.0%) missing valuesMissing
총게임기수 has 2975 (100.0%) missing valuesMissing
기존게임업외업종명 has 2975 (100.0%) missing valuesMissing
공연장형태구분명 has 2975 (100.0%) missing valuesMissing
품목명 has 2975 (100.0%) missing valuesMissing
최초등록시점 has 2975 (100.0%) missing valuesMissing
지상층수 is highly skewed (γ1 = 31.85505169)Skewed
번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 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
총게임기수 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
지상층수 has 130 (4.4%) zerosZeros

Reproduction

Analysis started2023-12-10 19:30:54.733161
Analysis finished2023-12-10 19:30:57.039371
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2975
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1488
Minimum1
Maximum2975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:30:57.164640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile149.7
Q1744.5
median1488
Q32231.5
95-th percentile2826.3
Maximum2975
Range2974
Interquartile range (IQR)1487

Descriptive statistics

Standard deviation858.95285
Coefficient of variation (CV)0.57725326
Kurtosis-1.2
Mean1488
Median Absolute Deviation (MAD)744
Skewness0
Sum4426800
Variance737800
MonotonicityStrictly increasing
2023-12-11T04:30:57.391042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1988 1
 
< 0.1%
1979 1
 
< 0.1%
1980 1
 
< 0.1%
1981 1
 
< 0.1%
1982 1
 
< 0.1%
1983 1
 
< 0.1%
1984 1
 
< 0.1%
1985 1
 
< 0.1%
1986 1
 
< 0.1%
Other values (2965) 2965
99.7%
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 (%)
2975 1
< 0.1%
2974 1
< 0.1%
2973 1
< 0.1%
2972 1
< 0.1%
2971 1
< 0.1%
2970 1
< 0.1%
2969 1
< 0.1%
2968 1
< 0.1%
2967 1
< 0.1%
2966 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
노래연습장업
2975 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 2975
100.0%

Length

2023-12-11T04:30:57.623986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:57.763721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 2975
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
03_09_01_P
2975 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_09_01_P
2nd row03_09_01_P
3rd row03_09_01_P
4th row03_09_01_P
5th row03_09_01_P

Common Values

ValueCountFrequency (%)
03_09_01_P 2975
100.0%

Length

2023-12-11T04:30:57.926623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:58.063590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_09_01_p 2975
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449606.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:30:58.236227image/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 deviation20722.004
Coefficient of variation (CV)0.0060070626
Kurtosis-1.0055505
Mean3449606.7
Median Absolute Deviation (MAD)20000
Skewness-0.44205375
Sum1.026258 × 1010
Variance4.2940143 × 108
MonotonicityIncreasing
2023-12-11T04:30:58.414519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 775
26.1%
3450000 524
17.6%
3460000 431
14.5%
3420000 344
11.6%
3430000 267
 
9.0%
3440000 255
 
8.6%
3410000 202
 
6.8%
3480000 177
 
5.9%
ValueCountFrequency (%)
3410000 202
 
6.8%
3420000 344
11.6%
3430000 267
 
9.0%
3440000 255
 
8.6%
3450000 524
17.6%
3460000 431
14.5%
3470000 775
26.1%
3480000 177
 
5.9%
ValueCountFrequency (%)
3480000 177
 
5.9%
3470000 775
26.1%
3460000 431
14.5%
3450000 524
17.6%
3440000 255
 
8.6%
3430000 267
 
9.0%
3420000 344
11.6%
3410000 202
 
6.8%

관리번호
Text

Distinct1071
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T04:30:58.751146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters59500
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

Unique380 ?
Unique (%)12.8%

Sample

1st rowCDFF3242051995000002
2nd rowCDFF3242051995000003
3rd rowCDFF3242052019000002
4th rowCDFF3242052019000001
5th rowCDFF3242052019000003
ValueCountFrequency (%)
cdff3242052004000004 8
 
0.3%
cdff3242052007000001 8
 
0.3%
cdff3242052007000002 8
 
0.3%
cdff3242052005000001 8
 
0.3%
cdff3242052002000002 8
 
0.3%
cdff3242052005000002 8
 
0.3%
cdff3242051999000020 8
 
0.3%
cdff3242052006000002 8
 
0.3%
cdff3242051999000005 8
 
0.3%
cdff3242052011000003 8
 
0.3%
Other values (1061) 2895
97.3%
2023-12-11T04:30:59.345164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19392
32.6%
2 8779
14.8%
F 5950
 
10.0%
3 3993
 
6.7%
4 3745
 
6.3%
5 3617
 
6.1%
9 3545
 
6.0%
C 2975
 
5.0%
D 2975
 
5.0%
1 2912
 
4.9%
Other values (3) 1617
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47600
80.0%
Uppercase Letter 11900
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19392
40.7%
2 8779
18.4%
3 3993
 
8.4%
4 3745
 
7.9%
5 3617
 
7.6%
9 3545
 
7.4%
1 2912
 
6.1%
6 546
 
1.1%
7 539
 
1.1%
8 532
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 5950
50.0%
C 2975
25.0%
D 2975
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47600
80.0%
Latin 11900
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19392
40.7%
2 8779
18.4%
3 3993
 
8.4%
4 3745
 
7.9%
5 3617
 
7.6%
9 3545
 
7.4%
1 2912
 
6.1%
6 546
 
1.1%
7 539
 
1.1%
8 532
 
1.1%
Latin
ValueCountFrequency (%)
F 5950
50.0%
C 2975
25.0%
D 2975
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19392
32.6%
2 8779
14.8%
F 5950
 
10.0%
3 3993
 
6.7%
4 3745
 
6.3%
5 3617
 
6.1%
9 3545
 
6.0%
C 2975
 
5.0%
D 2975
 
5.0%
1 2912
 
4.9%
Other values (3) 1617
 
2.7%

인허가일자
Real number (ℝ)

Distinct1847
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20019611
Minimum19920202
Maximum20190719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:30:59.649823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19920202
5-th percentile19931116
Q119990615
median20010703
Q320041016
95-th percentile20140612
Maximum20190719
Range270517
Interquartile range (IQR)50401.5

Descriptive statistics

Standard deviation55479.326
Coefficient of variation (CV)0.002771249
Kurtosis0.68136488
Mean20019611
Median Absolute Deviation (MAD)20476
Skewness0.8278398
Sum5.9558342 × 1010
Variance3.0779556 × 109
MonotonicityNot monotonic
2023-12-11T04:30:59.936895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990615 162
 
5.4%
19990708 145
 
4.9%
19990621 18
 
0.6%
19990628 14
 
0.5%
19990702 13
 
0.4%
19990707 12
 
0.4%
19920908 11
 
0.4%
19990623 11
 
0.4%
19990630 9
 
0.3%
19930928 9
 
0.3%
Other values (1837) 2571
86.4%
ValueCountFrequency (%)
19920202 1
 
< 0.1%
19920711 2
 
0.1%
19920714 2
 
0.1%
19920821 1
 
< 0.1%
19920903 2
 
0.1%
19920904 3
 
0.1%
19920905 4
 
0.1%
19920908 11
0.4%
19920909 2
 
0.1%
19920921 6
0.2%
ValueCountFrequency (%)
20190719 1
< 0.1%
20190625 1
< 0.1%
20190614 1
< 0.1%
20190530 1
< 0.1%
20190516 1
< 0.1%
20190501 1
< 0.1%
20190430 1
< 0.1%
20190424 1
< 0.1%
20190312 1
< 0.1%
20181224 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)87.5%
Missing2951
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20079962
Minimum20040903
Maximum20180807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:00.215164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040903
5-th percentile20040904
Q120060805
median20070570
Q320093640
95-th percentile20129609
Maximum20180807
Range139904
Interquartile range (IQR)32835.25

Descriptive statistics

Standard deviation34134.114
Coefficient of variation (CV)0.0016999093
Kurtosis1.8765931
Mean20079962
Median Absolute Deviation (MAD)20050.5
Skewness1.2379028
Sum4.8191909 × 108
Variance1.1651377 × 109
MonotonicityNot monotonic
2023-12-11T04:31:00.436255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20040903 2
 
0.1%
20080305 2
 
0.1%
20060904 2
 
0.1%
20060831 1
 
< 0.1%
20091210 1
 
< 0.1%
20120801 1
 
< 0.1%
20051011 1
 
< 0.1%
20070122 1
 
< 0.1%
20070919 1
 
< 0.1%
20040917 1
 
< 0.1%
Other values (11) 11
 
0.4%
(Missing) 2951
99.2%
ValueCountFrequency (%)
20040903 2
0.1%
20040907 1
< 0.1%
20040917 1
< 0.1%
20051011 1
< 0.1%
20060726 1
< 0.1%
20060831 1
< 0.1%
20060904 2
0.1%
20061204 1
< 0.1%
20070122 1
< 0.1%
20070221 1
< 0.1%
ValueCountFrequency (%)
20180807 1
< 0.1%
20131107 1
< 0.1%
20121123 1
< 0.1%
20120801 1
< 0.1%
20110502 1
< 0.1%
20100930 1
< 0.1%
20091210 1
< 0.1%
20091112 1
< 0.1%
20080416 1
< 0.1%
20080305 2
0.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
1
1876 
3
1013 
4
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1876
63.1%
3 1013
34.1%
4 86
 
2.9%

Length

2023-12-11T04:31:00.645216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:00.828406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1876
63.1%
3 1013
34.1%
4 86
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
영업/정상
1876 
폐업
1013 
취소/말소/만료/정지/중지
 
86

Length

Max length14
Median length5
Mean length4.2386555
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 1876
63.1%
폐업 1013
34.1%
취소/말소/만료/정지/중지 86
 
2.9%

Length

2023-12-11T04:31:01.093353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:01.322370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1876
63.1%
폐업 1013
34.1%
취소/말소/만료/정지/중지 86
 
2.9%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.178824
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:01.468450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median13
Q313
95-th percentile13
Maximum35
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.1711977
Coefficient of variation (CV)0.60627809
Kurtosis3.6395167
Mean10.178824
Median Absolute Deviation (MAD)0
Skewness1.0782616
Sum30282
Variance38.083681
MonotonicityNot monotonic
2023-12-11T04:31:01.641424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 1876
63.1%
3 1013
34.1%
35 55
 
1.8%
30 19
 
0.6%
31 10
 
0.3%
25 2
 
0.1%
ValueCountFrequency (%)
3 1013
34.1%
13 1876
63.1%
25 2
 
0.1%
30 19
 
0.6%
31 10
 
0.3%
35 55
 
1.8%
ValueCountFrequency (%)
35 55
 
1.8%
31 10
 
0.3%
30 19
 
0.6%
25 2
 
0.1%
13 1876
63.1%
3 1013
34.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
영업중
1876 
폐업
1013 
직권말소
 
55
허가취소
 
19
등록취소
 
10

Length

Max length4
Median length3
Mean length2.6884034
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1876
63.1%
폐업 1013
34.1%
직권말소 55
 
1.8%
허가취소 19
 
0.6%
등록취소 10
 
0.3%
영업정지 2
 
0.1%

Length

2023-12-11T04:31:01.862919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:02.041491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1876
63.1%
폐업 1013
34.1%
직권말소 55
 
1.8%
허가취소 19
 
0.6%
등록취소 10
 
0.3%
영업정지 2
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct899
Distinct (%)84.3%
Missing1908
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean20122239
Minimum20030317
Maximum20190829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:02.197035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030317
5-th percentile20050321
Q120080864
median20130402
Q320160713
95-th percentile20190379
Maximum20190829
Range160512
Interquartile range (IQR)79849

Descriptive statistics

Standard deviation45951.121
Coefficient of variation (CV)0.0022835988
Kurtosis-1.1620605
Mean20122239
Median Absolute Deviation (MAD)39975
Skewness-0.20332171
Sum2.1470429 × 1010
Variance2.1115055 × 109
MonotonicityNot monotonic
2023-12-11T04:31:02.423094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120111 10
 
0.3%
20190502 5
 
0.2%
20170421 4
 
0.1%
20130402 4
 
0.1%
20101109 4
 
0.1%
20080306 4
 
0.1%
20190701 4
 
0.1%
20160201 3
 
0.1%
20190528 3
 
0.1%
20081121 3
 
0.1%
Other values (889) 1023
34.4%
(Missing) 1908
64.1%
ValueCountFrequency (%)
20030317 1
< 0.1%
20030503 1
< 0.1%
20030620 1
< 0.1%
20030627 1
< 0.1%
20030714 1
< 0.1%
20030718 1
< 0.1%
20031010 1
< 0.1%
20031028 1
< 0.1%
20031103 1
< 0.1%
20031107 1
< 0.1%
ValueCountFrequency (%)
20190829 1
 
< 0.1%
20190827 1
 
< 0.1%
20190826 1
 
< 0.1%
20190816 2
0.1%
20190813 3
0.1%
20190808 1
 
< 0.1%
20190802 1
 
< 0.1%
20190729 1
 
< 0.1%
20190716 2
0.1%
20190705 2
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2973 
20150506
 
1
20070820
 
1

Length

Max length8
Median length4
Mean length4.0026891
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2973
99.9%
20150506 1
 
< 0.1%
20070820 1
 
< 0.1%

Length

2023-12-11T04:31:02.583987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:02.728055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2973
99.9%
20150506 1
 
< 0.1%
20070820 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2973 
20150520
 
1
20070918
 
1

Length

Max length8
Median length4
Mean length4.0026891
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2973
99.9%
20150520 1
 
< 0.1%
20070918 1
 
< 0.1%

Length

2023-12-11T04:31:02.879862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:03.018121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2973
99.9%
20150520 1
 
< 0.1%
20070918 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

소재지전화
Text

MISSING 

Distinct2508
Distinct (%)99.1%
Missing443
Missing (%)14.9%
Memory size23.4 KiB
2023-12-11T04:31:03.286607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length8
Mean length8.7405213
Min length6

Characters and Unicode

Total characters22131
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2484 ?
Unique (%)98.1%

Sample

1st row053-426-7826
2nd row053-256-1196
3rd row053-254-0222
4th row427-1446
5th row053-422-2444
ValueCountFrequency (%)
053 11
 
0.4%
765-4539 2
 
0.1%
762-1080 2
 
0.1%
642-1235 2
 
0.1%
621-7339 2
 
0.1%
567-2825 2
 
0.1%
559-9908 2
 
0.1%
767-1142 2
 
0.1%
745-6682 2
 
0.1%
582-2505 2
 
0.1%
Other values (2499) 2514
98.9%
2023-12-11T04:31:03.806627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2979
13.5%
- 2709
12.2%
3 2317
10.5%
6 2182
9.9%
2 2015
9.1%
7 1716
7.8%
4 1715
7.7%
0 1669
7.5%
8 1594
7.2%
1 1586
7.2%
Other values (7) 1649
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19127
86.4%
Dash Punctuation 2709
 
12.2%
Close Punctuation 274
 
1.2%
Space Separator 11
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2979
15.6%
3 2317
12.1%
6 2182
11.4%
2 2015
10.5%
7 1716
9.0%
4 1715
9.0%
0 1669
8.7%
8 1594
8.3%
1 1586
8.3%
9 1354
7.1%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
, 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 2709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 274
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2979
13.5%
- 2709
12.2%
3 2317
10.5%
6 2182
9.9%
2 2015
9.1%
7 1716
7.8%
4 1715
7.7%
0 1669
7.5%
8 1594
7.2%
1 1586
7.2%
Other values (7) 1649
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2979
13.5%
- 2709
12.2%
3 2317
10.5%
6 2182
9.9%
2 2015
9.1%
7 1716
7.8%
4 1715
7.7%
0 1669
7.5%
8 1594
7.2%
1 1586
7.2%
Other values (7) 1649
7.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)48.6%
Missing2498
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean703850.66
Minimum700010
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:04.028452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700404.8
Q1701819
median703810
Q3705824
95-th percentile706848.2
Maximum711874
Range11864
Interquartile range (IQR)4005

Descriptive statistics

Standard deviation2548.287
Coefficient of variation (CV)0.0036204939
Kurtosis0.78015292
Mean703850.66
Median Absolute Deviation (MAD)1996
Skewness0.79792961
Sum3.3573676 × 108
Variance6493766.7
MonotonicityNot monotonic
2023-12-11T04:31:04.211487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701440 9
 
0.3%
711852 8
 
0.3%
706824 7
 
0.2%
706800 7
 
0.2%
700411 7
 
0.2%
700150 6
 
0.2%
701819 6
 
0.2%
706829 6
 
0.2%
703848 6
 
0.2%
702885 6
 
0.2%
Other values (222) 409
 
13.7%
(Missing) 2498
84.0%
ValueCountFrequency (%)
700010 1
 
< 0.1%
700040 1
 
< 0.1%
700091 1
 
< 0.1%
700092 1
 
< 0.1%
700093 5
0.2%
700111 1
 
< 0.1%
700150 6
0.2%
700160 2
 
0.1%
700180 2
 
0.1%
700261 1
 
< 0.1%
ValueCountFrequency (%)
711874 1
 
< 0.1%
711873 1
 
< 0.1%
711858 1
 
< 0.1%
711852 8
0.3%
711815 1
 
< 0.1%
711813 1
 
< 0.1%
711812 1
 
< 0.1%
706853 2
 
0.1%
706852 5
0.2%
706851 2
 
0.1%

소재지전체주소
Text

Distinct2916
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T04:31:04.677099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length25.288739
Min length18

Characters and Unicode

Total characters75234
Distinct characters219
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

Unique2860 ?
Unique (%)96.1%

Sample

1st row대구광역시 중구 대봉동 22-31번지
2nd row대구광역시 중구 남산동 2269-10번지
3rd row대구광역시 중구 대봉동 6-34번지
4th row대구광역시 중구 삼덕동1가 63-141번지
5th row대구광역시 중구 동성로2가 68-25번지
ValueCountFrequency (%)
대구광역시 2975
21.8%
달서구 775
 
5.7%
지하1층 567
 
4.1%
북구 524
 
3.8%
수성구 431
 
3.2%
동구 344
 
2.5%
서구 267
 
2.0%
남구 255
 
1.9%
중구 202
 
1.5%
대명동 184
 
1.3%
Other values (3255) 7141
52.3%
2023-12-11T04:31:05.393918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13652
18.1%
구 5842
 
7.8%
지 3901
 
5.2%
1 3847
 
5.1%
대 3330
 
4.4%
동 3260
 
4.3%
시 2990
 
4.0%
광 2978
 
4.0%
역 2977
 
4.0%
번 2977
 
4.0%
Other values (209) 29480
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41400
55.0%
Decimal Number 15414
 
20.5%
Space Separator 13652
 
18.1%
Dash Punctuation 2736
 
3.6%
Open Punctuation 989
 
1.3%
Close Punctuation 989
 
1.3%
Other Punctuation 38
 
0.1%
Uppercase Letter 15
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5842
14.1%
지 3901
 
9.4%
대 3330
 
8.0%
동 3260
 
7.9%
시 2990
 
7.2%
광 2978
 
7.2%
역 2977
 
7.2%
번 2977
 
7.2%
서 1083
 
2.6%
층 992
 
2.4%
Other values (184) 11070
26.7%
Decimal Number
ValueCountFrequency (%)
1 3847
25.0%
2 2245
14.6%
3 1635
10.6%
4 1285
 
8.3%
0 1168
 
7.6%
5 1159
 
7.5%
6 1058
 
6.9%
7 1029
 
6.7%
8 998
 
6.5%
9 990
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
46.7%
A 3
20.0%
Z 1
 
6.7%
P 1
 
6.7%
L 1
 
6.7%
S 1
 
6.7%
M 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 34
89.5%
/ 3
 
7.9%
. 1
 
2.6%
Space Separator
ValueCountFrequency (%)
13652
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 989
100.0%
Close Punctuation
ValueCountFrequency (%)
) 989
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41400
55.0%
Common 33819
45.0%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5842
14.1%
지 3901
 
9.4%
대 3330
 
8.0%
동 3260
 
7.9%
시 2990
 
7.2%
광 2978
 
7.2%
역 2977
 
7.2%
번 2977
 
7.2%
서 1083
 
2.6%
층 992
 
2.4%
Other values (184) 11070
26.7%
Common
ValueCountFrequency (%)
13652
40.4%
1 3847
 
11.4%
- 2736
 
8.1%
2 2245
 
6.6%
3 1635
 
4.8%
4 1285
 
3.8%
0 1168
 
3.5%
5 1159
 
3.4%
6 1058
 
3.1%
7 1029
 
3.0%
Other values (8) 4005
 
11.8%
Latin
ValueCountFrequency (%)
B 7
46.7%
A 3
20.0%
Z 1
 
6.7%
P 1
 
6.7%
L 1
 
6.7%
S 1
 
6.7%
M 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41400
55.0%
ASCII 33834
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13652
40.3%
1 3847
 
11.4%
- 2736
 
8.1%
2 2245
 
6.6%
3 1635
 
4.8%
4 1285
 
3.8%
0 1168
 
3.5%
5 1159
 
3.4%
6 1058
 
3.1%
7 1029
 
3.0%
Other values (15) 4020
 
11.9%
Hangul
ValueCountFrequency (%)
구 5842
14.1%
지 3901
 
9.4%
대 3330
 
8.0%
동 3260
 
7.9%
시 2990
 
7.2%
광 2978
 
7.2%
역 2977
 
7.2%
번 2977
 
7.2%
서 1083
 
2.6%
층 992
 
2.4%
Other values (184) 11070
26.7%

도로명전체주소
Text

MISSING 

Distinct2849
Distinct (%)99.0%
Missing97
Missing (%)3.3%
Memory size23.4 KiB
2023-12-11T04:31:05.888155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length26.33704
Min length19

Characters and Unicode

Total characters75798
Distinct characters233
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

Unique2820 ?
Unique (%)98.0%

Sample

1st row대구광역시 중구 동덕로 78 (대봉동)
2nd row대구광역시 중구 명덕로 73 (남산동)
3rd row대구광역시 중구 달구벌대로450길 30, 2층 (대봉동)
4th row대구광역시 중구 공평로 31 (삼덕동1가)
5th row대구광역시 중구 동성로2길 83, 2층 (동성로2가)
ValueCountFrequency (%)
대구광역시 2878
 
19.0%
달서구 765
 
5.1%
북구 514
 
3.4%
수성구 419
 
2.8%
동구 337
 
2.2%
서구 264
 
1.7%
남구 216
 
1.4%
중구 195
 
1.3%
지하1층 188
 
1.2%
달성군 168
 
1.1%
Other values (1980) 9183
60.7%
2023-12-11T04:31:06.620040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13059
17.2%
구 6034
 
8.0%
대 3742
 
4.9%
동 3589
 
4.7%
) 3158
 
4.2%
( 3158
 
4.2%
시 2898
 
3.8%
역 2891
 
3.8%
광 2880
 
3.8%
로 2846
 
3.8%
Other values (223) 31543
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44172
58.3%
Space Separator 13059
 
17.2%
Decimal Number 10654
 
14.1%
Close Punctuation 3158
 
4.2%
Open Punctuation 3158
 
4.2%
Other Punctuation 1111
 
1.5%
Dash Punctuation 476
 
0.6%
Uppercase Letter 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6034
 
13.7%
대 3742
 
8.5%
동 3589
 
8.1%
시 2898
 
6.6%
역 2891
 
6.5%
광 2880
 
6.5%
로 2846
 
6.4%
서 1314
 
3.0%
달 1213
 
2.7%
길 1077
 
2.4%
Other values (204) 15688
35.5%
Decimal Number
ValueCountFrequency (%)
1 2572
24.1%
2 1804
16.9%
3 1222
11.5%
4 883
 
8.3%
5 836
 
7.8%
6 777
 
7.3%
0 683
 
6.4%
7 658
 
6.2%
8 624
 
5.9%
9 595
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1109
99.8%
/ 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
85.7%
A 1
 
14.3%
Space Separator
ValueCountFrequency (%)
13059
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 476
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44172
58.3%
Common 31619
41.7%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6034
 
13.7%
대 3742
 
8.5%
동 3589
 
8.1%
시 2898
 
6.6%
역 2891
 
6.5%
광 2880
 
6.5%
로 2846
 
6.4%
서 1314
 
3.0%
달 1213
 
2.7%
길 1077
 
2.4%
Other values (204) 15688
35.5%
Common
ValueCountFrequency (%)
13059
41.3%
) 3158
 
10.0%
( 3158
 
10.0%
1 2572
 
8.1%
2 1804
 
5.7%
3 1222
 
3.9%
, 1109
 
3.5%
4 883
 
2.8%
5 836
 
2.6%
6 777
 
2.5%
Other values (7) 3041
 
9.6%
Latin
ValueCountFrequency (%)
B 6
85.7%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44172
58.3%
ASCII 31626
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13059
41.3%
) 3158
 
10.0%
( 3158
 
10.0%
1 2572
 
8.1%
2 1804
 
5.7%
3 1222
 
3.9%
, 1109
 
3.5%
4 883
 
2.8%
5 836
 
2.6%
6 777
 
2.5%
Other values (9) 3048
 
9.6%
Hangul
ValueCountFrequency (%)
구 6034
 
13.7%
대 3742
 
8.5%
동 3589
 
8.1%
시 2898
 
6.6%
역 2891
 
6.5%
광 2880
 
6.5%
로 2846
 
6.4%
서 1314
 
3.0%
달 1213
 
2.7%
길 1077
 
2.4%
Other values (204) 15688
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct636
Distinct (%)38.8%
Missing1334
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean79562.006
Minimum41020
Maximum711815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:06.840076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41020
5-th percentile41237
Q141557
median42196
Q342646
95-th percentile701808
Maximum711815
Range670795
Interquartile range (IQR)1089

Descriptive statistics

Standard deviation152848.63
Coefficient of variation (CV)1.9211259
Kurtosis12.747848
Mean79562.006
Median Absolute Deviation (MAD)540
Skewness3.8382195
Sum1.3056125 × 108
Variance2.3362703 × 1010
MonotonicityNot monotonic
2023-12-11T04:31:07.092255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41544 22
 
0.7%
41452 17
 
0.6%
42614 16
 
0.5%
41472 16
 
0.5%
42619 16
 
0.5%
42979 16
 
0.5%
41942 15
 
0.5%
42612 15
 
0.5%
42196 13
 
0.4%
42274 12
 
0.4%
Other values (626) 1483
49.8%
(Missing) 1334
44.8%
ValueCountFrequency (%)
41020 1
 
< 0.1%
41026 4
0.1%
41034 1
 
< 0.1%
41044 5
0.2%
41049 1
 
< 0.1%
41066 1
 
< 0.1%
41078 1
 
< 0.1%
41084 1
 
< 0.1%
41086 9
0.3%
41087 2
 
0.1%
ValueCountFrequency (%)
711815 1
 
< 0.1%
706813 1
 
< 0.1%
706808 1
 
< 0.1%
706170 1
 
< 0.1%
706092 1
 
< 0.1%
704941 1
 
< 0.1%
704940 2
0.1%
704938 3
0.1%
704927 1
 
< 0.1%
704922 2
0.1%

사업장명
Text

Distinct1921
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T04:31:07.837739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length6.9717647
Min length1

Characters and Unicode

Total characters20741
Distinct characters623
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1482 ?
Unique (%)49.8%

Sample

1st row센트로노래연습장
2nd row아리랑
3rd row이등병 동전 노래연습장
4th row보이스코리아코인노래연습장
5th row세븐스타코인노래연습장 대구동성로점
ValueCountFrequency (%)
노래연습장 302
 
9.1%
스타노래연습장 24
 
0.7%
신바람노래연습장 21
 
0.6%
팡팡노래연습장 19
 
0.6%
궁전노래연습장 17
 
0.5%
황제노래연습장 17
 
0.5%
축제노래연습장 15
 
0.4%
귀빈노래연습장 15
 
0.4%
에쿠스노래연습장 13
 
0.4%
동전노래연습장 13
 
0.4%
Other values (1859) 2878
86.3%
2023-12-11T04:31:08.495383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 2530
 
12.2%
노 2523
 
12.2%
연 2488
 
12.0%
장 2486
 
12.0%
습 2469
 
11.9%
359
 
1.7%
스 276
 
1.3%
이 207
 
1.0%
동 193
 
0.9%
리 169
 
0.8%
Other values (613) 7041
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19921
96.0%
Space Separator 359
 
1.7%
Uppercase Letter 185
 
0.9%
Decimal Number 94
 
0.5%
Close Punctuation 61
 
0.3%
Open Punctuation 61
 
0.3%
Lowercase Letter 46
 
0.2%
Other Punctuation 9
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 2530
 
12.7%
노 2523
 
12.7%
연 2488
 
12.5%
장 2486
 
12.5%
습 2469
 
12.4%
스 276
 
1.4%
이 207
 
1.0%
동 193
 
1.0%
리 169
 
0.8%
전 157
 
0.8%
Other values (555) 6423
32.2%
Uppercase Letter
ValueCountFrequency (%)
S 21
11.4%
M 21
11.4%
O 20
 
10.8%
K 17
 
9.2%
B 11
 
5.9%
H 10
 
5.4%
V 10
 
5.4%
N 8
 
4.3%
I 8
 
4.3%
P 8
 
4.3%
Other values (15) 51
27.6%
Lowercase Letter
ValueCountFrequency (%)
a 7
15.2%
o 6
13.0%
l 5
10.9%
n 4
8.7%
y 3
6.5%
h 3
6.5%
u 3
6.5%
e 3
6.5%
b 3
6.5%
w 2
 
4.3%
Other values (6) 7
15.2%
Decimal Number
ValueCountFrequency (%)
2 47
50.0%
0 12
 
12.8%
1 12
 
12.8%
7 6
 
6.4%
3 5
 
5.3%
8 5
 
5.3%
5 3
 
3.2%
4 2
 
2.1%
9 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
# 2
 
22.2%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19921
96.0%
Common 587
 
2.8%
Latin 233
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 2530
 
12.7%
노 2523
 
12.7%
연 2488
 
12.5%
장 2486
 
12.5%
습 2469
 
12.4%
스 276
 
1.4%
이 207
 
1.0%
동 193
 
1.0%
리 169
 
0.8%
전 157
 
0.8%
Other values (555) 6423
32.2%
Latin
ValueCountFrequency (%)
S 21
 
9.0%
M 21
 
9.0%
O 20
 
8.6%
K 17
 
7.3%
B 11
 
4.7%
H 10
 
4.3%
V 10
 
4.3%
N 8
 
3.4%
I 8
 
3.4%
P 8
 
3.4%
Other values (32) 99
42.5%
Common
ValueCountFrequency (%)
359
61.2%
) 61
 
10.4%
( 61
 
10.4%
2 47
 
8.0%
0 12
 
2.0%
1 12
 
2.0%
. 6
 
1.0%
7 6
 
1.0%
3 5
 
0.9%
8 5
 
0.9%
Other values (6) 13
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19921
96.0%
ASCII 818
 
3.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 2530
 
12.7%
노 2523
 
12.7%
연 2488
 
12.5%
장 2486
 
12.5%
습 2469
 
12.4%
스 276
 
1.4%
이 207
 
1.0%
동 193
 
1.0%
리 169
 
0.8%
전 157
 
0.8%
Other values (555) 6423
32.2%
ASCII
ValueCountFrequency (%)
359
43.9%
) 61
 
7.5%
( 61
 
7.5%
2 47
 
5.7%
S 21
 
2.6%
M 21
 
2.6%
O 20
 
2.4%
K 17
 
2.1%
0 12
 
1.5%
1 12
 
1.5%
Other values (47) 187
22.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

최종수정시점
Real number (ℝ)

Distinct2969
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0142635 × 1013
Minimum2.0030519 × 1013
Maximum2.019083 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:08.746831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030519 × 1013
5-th percentile2.0060428 × 1013
Q12.0111129 × 1013
median2.0150831 × 1013
Q32.0171116 × 1013
95-th percentile2.0190515 × 1013
Maximum2.019083 × 1013
Range1.6031103 × 1011
Interquartile range (IQR)5.9987035 × 1010

Descriptive statistics

Standard deviation4.0493078 × 1010
Coefficient of variation (CV)0.0020103169
Kurtosis-0.24196367
Mean2.0142635 × 1013
Median Absolute Deviation (MAD)2.9591953 × 1010
Skewness-0.84158582
Sum5.9924338 × 1016
Variance1.6396894 × 1021
MonotonicityNot monotonic
2023-12-11T04:31:08.992769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130320161204 3
 
0.1%
20150804101120 2
 
0.1%
20150803112423 2
 
0.1%
20150803113450 2
 
0.1%
20171116114113 2
 
0.1%
20180912134122 1
 
< 0.1%
20171116133405 1
 
< 0.1%
20050630095813 1
 
< 0.1%
20180326173150 1
 
< 0.1%
20171116112425 1
 
< 0.1%
Other values (2959) 2959
99.5%
ValueCountFrequency (%)
20030519133444 1
< 0.1%
20030620162917 1
< 0.1%
20030630134402 1
< 0.1%
20030708144244 1
< 0.1%
20030725094902 1
< 0.1%
20030728111151 1
< 0.1%
20031013101456 1
< 0.1%
20031018112652 1
< 0.1%
20031028172216 1
< 0.1%
20031104090758 1
< 0.1%
ValueCountFrequency (%)
20190830164429 1
< 0.1%
20190829165406 1
< 0.1%
20190829162724 1
< 0.1%
20190829085530 1
< 0.1%
20190828160830 1
< 0.1%
20190828145157 1
< 0.1%
20190828085659 1
< 0.1%
20190827201222 1
< 0.1%
20190827162625 1
< 0.1%
20190827102232 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
I
2495 
U
480 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2495
83.9%
U 480
 
16.1%

Length

2023-12-11T04:31:09.271356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:09.407458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2495
83.9%
u 480
 
16.1%

데이터갱신일자
Date

Distinct205
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
Minimum2018-08-31 23:59:59
Maximum2019-09-01 02:40:00
2023-12-11T04:31:09.602536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:31:09.827364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2785
Distinct (%)94.9%
Missing40
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean342249.27
Minimum326170.12
Maximum356565.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:10.077245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326170.12
5-th percentile334163.07
Q1339471.9
median341839.16
Q3345799.44
95-th percentile350430.17
Maximum356565.37
Range30395.25
Interquartile range (IQR)6327.535

Descriptive statistics

Standard deviation5037.1918
Coefficient of variation (CV)0.014717903
Kurtosis0.32366651
Mean342249.27
Median Absolute Deviation (MAD)3147.1487
Skewness0.023072589
Sum1.0045016 × 109
Variance25373301
MonotonicityNot monotonic
2023-12-11T04:31:10.314866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339164.855216 4
 
0.1%
334743.462832 3
 
0.1%
335842.668745 3
 
0.1%
340428.683136 3
 
0.1%
339130.053477 3
 
0.1%
340169.871851 3
 
0.1%
341072.128785 3
 
0.1%
339322.91172 3
 
0.1%
342768.871735 3
 
0.1%
344930.631445 3
 
0.1%
Other values (2775) 2904
97.6%
(Missing) 40
 
1.3%
ValueCountFrequency (%)
326170.117106 1
< 0.1%
326942.021443 1
< 0.1%
327400.31546 1
< 0.1%
327487.645051 1
< 0.1%
327686.27405 1
< 0.1%
327861.180608 1
< 0.1%
327995.405789 1
< 0.1%
328015.993727 1
< 0.1%
328038.275458 1
< 0.1%
328039.908607 1
< 0.1%
ValueCountFrequency (%)
356565.367584 1
< 0.1%
356449.855915 1
< 0.1%
356393.204312 1
< 0.1%
356109.591069 1
< 0.1%
355783.101938 1
< 0.1%
355749.747028 1
< 0.1%
355738.134502 2
0.1%
355729.578668 1
< 0.1%
355709.189343 1
< 0.1%
355671.833565 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2785
Distinct (%)94.9%
Missing40
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean263310.8
Minimum237836.28
Maximum278117.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:10.592619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237836.28
5-th percentile257474.1
Q1261163.96
median263102.82
Q3265641.24
95-th percentile271433.72
Maximum278117.39
Range40281.106
Interquartile range (IQR)4477.2823

Descriptive statistics

Standard deviation4729.5528
Coefficient of variation (CV)0.017961864
Kurtosis4.3002854
Mean263310.8
Median Absolute Deviation (MAD)2124.5926
Skewness-0.88909138
Sum7.7281719 × 108
Variance22368669
MonotonicityNot monotonic
2023-12-11T04:31:10.884547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258544.087927 4
 
0.1%
262777.465173 3
 
0.1%
262538.563404 3
 
0.1%
271310.918058 3
 
0.1%
262253.277189 3
 
0.1%
262763.382152 3
 
0.1%
272624.325445 3
 
0.1%
270569.99356 3
 
0.1%
263048.992619 3
 
0.1%
265104.335936 3
 
0.1%
Other values (2775) 2904
97.6%
(Missing) 40
 
1.3%
ValueCountFrequency (%)
237836.281929 1
< 0.1%
239140.873211 1
< 0.1%
239494.32663 1
< 0.1%
240365.266923 1
< 0.1%
240434.828496 1
< 0.1%
240483.177406 1
< 0.1%
240486.59443 1
< 0.1%
240768.940516 1
< 0.1%
240809.724832 1
< 0.1%
240811.644828 1
< 0.1%
ValueCountFrequency (%)
278117.387967 1
< 0.1%
277962.513343 1
< 0.1%
277950.266234 1
< 0.1%
277949.180077 1
< 0.1%
277922.000836 1
< 0.1%
277887.974096 1
< 0.1%
277879.295259 1
< 0.1%
277855.748692 1
< 0.1%
277833.710458 1
< 0.1%
277805.314819 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
노래연습장업
2975 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 2975
100.0%

Length

2023-12-11T04:31:11.125205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:11.304428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 2975
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
유통관련업
2975 

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 2975
100.0%

Length

2023-12-11T04:31:11.481321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:11.637834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 2975
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)0.7%
Missing1151
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean4.3207237
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:11.766409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5626216
Coefficient of variation (CV)0.36165739
Kurtosis3.6742362
Mean4.3207237
Median Absolute Deviation (MAD)1
Skewness1.0393841
Sum7881
Variance2.4417864
MonotonicityNot monotonic
2023-12-11T04:31:11.936898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 568
19.1%
5 395
 
13.3%
3 353
 
11.9%
6 218
 
7.3%
2 141
 
4.7%
7 58
 
1.9%
8 32
 
1.1%
1 30
 
1.0%
9 15
 
0.5%
10 5
 
0.2%
Other values (3) 9
 
0.3%
(Missing) 1151
38.7%
ValueCountFrequency (%)
1 30
 
1.0%
2 141
 
4.7%
3 353
11.9%
4 568
19.1%
5 395
13.3%
6 218
 
7.3%
7 58
 
1.9%
8 32
 
1.1%
9 15
 
0.5%
10 5
 
0.2%
ValueCountFrequency (%)
16 1
 
< 0.1%
12 4
 
0.1%
11 4
 
0.1%
10 5
 
0.2%
9 15
 
0.5%
8 32
 
1.1%
7 58
 
1.9%
6 218
 
7.3%
5 395
13.3%
4 568
19.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2254 
기타
438 
유흥업소밀집지역
 
76
주택가주변
 
75
학교정화(상대)
 
73
Other values (3)
 
59

Length

Max length8
Median length4
Mean length3.9566387
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2254
75.8%
기타 438
 
14.7%
유흥업소밀집지역 76
 
2.6%
주택가주변 75
 
2.5%
학교정화(상대) 73
 
2.5%
아파트지역 52
 
1.7%
결혼예식장주변 4
 
0.1%
학교정화(절대) 3
 
0.1%

Length

2023-12-11T04:31:12.149422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:12.335599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2254
75.8%
기타 438
 
14.7%
유흥업소밀집지역 76
 
2.6%
주택가주변 75
 
2.5%
학교정화(상대 73
 
2.5%
아파트지역 52
 
1.7%
결혼예식장주변 4
 
0.1%
학교정화(절대 3
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct2344
Distinct (%)80.8%
Missing75
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean148.76109
Minimum7.02
Maximum622.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:12.527769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.02
5-th percentile72.7015
Q1106.215
median134.4
Q3179.57
95-th percentile269.1535
Maximum622.59
Range615.57
Interquartile range (IQR)73.355

Descriptive statistics

Standard deviation62.748757
Coefficient of variation (CV)0.42180893
Kurtosis3.6431559
Mean148.76109
Median Absolute Deviation (MAD)33.42
Skewness1.3998803
Sum431407.16
Variance3937.4065
MonotonicityNot monotonic
2023-12-11T04:31:12.748892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.0 27
 
0.9%
148.0 11
 
0.4%
125.0 10
 
0.3%
231.0 9
 
0.3%
99.0 9
 
0.3%
165.0 8
 
0.3%
198.0 7
 
0.2%
147.0 7
 
0.2%
119.0 7
 
0.2%
108.0 6
 
0.2%
Other values (2334) 2799
94.1%
(Missing) 75
 
2.5%
ValueCountFrequency (%)
7.02 1
< 0.1%
11.97 1
< 0.1%
14.0 1
< 0.1%
21.78 1
< 0.1%
27.39 1
< 0.1%
30.0 1
< 0.1%
30.24 1
< 0.1%
33.81 1
< 0.1%
35.02 1
< 0.1%
37.78 1
< 0.1%
ValueCountFrequency (%)
622.59 1
< 0.1%
515.3 1
< 0.1%
499.36 1
< 0.1%
492.46 1
< 0.1%
488.0 1
< 0.1%
454.7 1
< 0.1%
452.2 1
< 0.1%
449.65 1
< 0.1%
425.05 1
< 0.1%
419.82 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)1.2%
Missing1681
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.5780526
Minimum0
Maximum234
Zeros130
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:12.939549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum234
Range234
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.7115821
Coefficient of variation (CV)2.6033535
Kurtosis1095.6195
Mean2.5780526
Median Absolute Deviation (MAD)1
Skewness31.855052
Sum3336
Variance45.045334
MonotonicityNot monotonic
2023-12-11T04:31:13.091653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 622
 
20.9%
3 205
 
6.9%
0 130
 
4.4%
1 125
 
4.2%
4 96
 
3.2%
5 71
 
2.4%
6 20
 
0.7%
7 11
 
0.4%
23 4
 
0.1%
8 3
 
0.1%
Other values (6) 7
 
0.2%
(Missing) 1681
56.5%
ValueCountFrequency (%)
0 130
 
4.4%
1 125
 
4.2%
2 622
20.9%
3 205
 
6.9%
4 96
 
3.2%
5 71
 
2.4%
6 20
 
0.7%
7 11
 
0.4%
8 3
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
234 1
 
< 0.1%
23 4
 
0.1%
15 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 2
 
0.1%
8 3
 
0.1%
7 11
0.4%
6 20
0.7%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
1
1624 
<NA>
1281 
0
 
61
2
 
7
5
 
1

Length

Max length4
Median length1
Mean length2.2917647
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 1624
54.6%
<NA> 1281
43.1%
0 61
 
2.1%
2 7
 
0.2%
5 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-11T04:31:13.254003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:13.424723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1624
54.6%
na 1281
43.1%
0 61
 
2.1%
2 7
 
0.2%
5 1
 
< 0.1%
3 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
1634 
근린생활시설
1219 
식품위생시설
 
33
사무실
 
32
기타
 
18
Other values (9)
 
39

Length

Max length7
Median length4
Mean length4.8255462
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1634
54.9%
근린생활시설 1219
41.0%
식품위생시설 33
 
1.1%
사무실 32
 
1.1%
기타 18
 
0.6%
유통시설 18
 
0.6%
단독주택 5
 
0.2%
의료시설 4
 
0.1%
환경위생시설 3
 
0.1%
위험물저장시설 3
 
0.1%
Other values (4) 6
 
0.2%

Length

2023-12-11T04:31:13.597309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1634
54.9%
근린생활시설 1219
41.0%
식품위생시설 33
 
1.1%
사무실 32
 
1.1%
기타 18
 
0.6%
유통시설 18
 
0.6%
단독주택 5
 
0.2%
의료시설 4
 
0.1%
환경위생시설 3
 
0.1%
위험물저장시설 3
 
0.1%
Other values (4) 6
 
0.2%

통로너비
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)8.8%
Missing2575
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean2.469875
Minimum0.9
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:13.803479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.2
median1.3
Q31.5
95-th percentile1.9
Maximum180
Range179.1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation12.648088
Coefficient of variation (CV)5.1209424
Kurtosis146.30653
Mean2.469875
Median Absolute Deviation (MAD)0.1
Skewness11.951059
Sum987.95
Variance159.97412
MonotonicityNot monotonic
2023-12-11T04:31:14.031688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1.2 113
 
3.8%
1.3 83
 
2.8%
1.5 42
 
1.4%
1.0 27
 
0.9%
1.4 24
 
0.8%
1.1 21
 
0.7%
1.6 15
 
0.5%
1.7 13
 
0.4%
1.8 9
 
0.3%
1.25 8
 
0.3%
Other values (25) 45
 
1.5%
(Missing) 2575
86.6%
ValueCountFrequency (%)
0.9 1
 
< 0.1%
1.0 27
 
0.9%
1.05 1
 
< 0.1%
1.1 21
 
0.7%
1.15 5
 
0.2%
1.16 1
 
< 0.1%
1.2 113
3.8%
1.25 8
 
0.3%
1.27 1
 
< 0.1%
1.3 83
2.8%
ValueCountFrequency (%)
180.0 1
< 0.1%
136.0 1
< 0.1%
120.0 1
< 0.1%
12.2 1
< 0.1%
9.0 1
< 0.1%
3.2 1
< 0.1%
3.08 1
< 0.1%
3.0 2
0.1%
2.2 1
< 0.1%
2.1 2
0.1%

조명시설조도
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)14.6%
Missing2647
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean48.047256
Minimum30
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:14.253833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q140
median40
Q350
95-th percentile85.3
Maximum230
Range200
Interquartile range (IQR)10

Descriptive statistics

Standard deviation22.705838
Coefficient of variation (CV)0.47257305
Kurtosis17.283478
Mean48.047256
Median Absolute Deviation (MAD)10
Skewness3.4066773
Sum15759.5
Variance515.5551
MonotonicityNot monotonic
2023-12-11T04:31:14.500119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
40.0 122
 
4.1%
30.0 59
 
2.0%
50.0 38
 
1.3%
60.0 19
 
0.6%
45.0 10
 
0.3%
70.0 7
 
0.2%
35.0 6
 
0.2%
80.0 6
 
0.2%
36.0 5
 
0.2%
34.0 4
 
0.1%
Other values (38) 52
 
1.7%
(Missing) 2647
89.0%
ValueCountFrequency (%)
30.0 59
2.0%
30.5 1
 
< 0.1%
33.0 1
 
< 0.1%
34.0 4
 
0.1%
35.0 6
 
0.2%
36.0 5
 
0.2%
37.0 3
 
0.1%
40.0 122
4.1%
42.0 1
 
< 0.1%
43.0 3
 
0.1%
ValueCountFrequency (%)
230.0 1
 
< 0.1%
160.0 1
 
< 0.1%
150.0 1
 
< 0.1%
140.0 4
0.1%
109.0 1
 
< 0.1%
104.0 1
 
< 0.1%
100.0 1
 
< 0.1%
98.0 1
 
< 0.1%
95.0 2
0.1%
94.0 1
 
< 0.1%

노래방실수
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)2.0%
Missing815
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean52.73287
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:14.704336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q38
95-th percentile38.05
Maximum999
Range998
Interquartile range (IQR)3

Descriptive statistics

Standard deviation207.53253
Coefficient of variation (CV)3.935544
Kurtosis16.872896
Mean52.73287
Median Absolute Deviation (MAD)1
Skewness4.3404547
Sum113903
Variance43069.751
MonotonicityNot monotonic
2023-12-11T04:31:14.901408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
5 472
15.9%
6 331
11.1%
7 278
 
9.3%
4 266
 
8.9%
8 165
 
5.5%
3 122
 
4.1%
9 99
 
3.3%
999 99
 
3.3%
10 75
 
2.5%
2 33
 
1.1%
Other values (34) 220
 
7.4%
(Missing) 815
27.4%
ValueCountFrequency (%)
1 10
 
0.3%
2 33
 
1.1%
3 122
 
4.1%
4 266
8.9%
5 472
15.9%
6 331
11.1%
7 278
9.3%
8 165
 
5.5%
9 99
 
3.3%
10 75
 
2.5%
ValueCountFrequency (%)
999 99
3.3%
175 1
 
< 0.1%
50 1
 
< 0.1%
48 1
 
< 0.1%
42 1
 
< 0.1%
40 3
 
0.1%
39 2
 
0.1%
38 1
 
< 0.1%
37 1
 
< 0.1%
35 1
 
< 0.1%

청소년실수
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)5.0%
Missing2151
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean5.0618932
Minimum0
Maximum50
Zeros29
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T04:31:15.097800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q36
95-th percentile21
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.0564331
Coefficient of variation (CV)1.3940304
Kurtosis9.4042348
Mean5.0618932
Median Absolute Deviation (MAD)1
Skewness2.8544343
Sum4171
Variance49.793248
MonotonicityNot monotonic
2023-12-11T04:31:15.320813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 228
 
7.7%
2 198
 
6.7%
3 89
 
3.0%
4 36
 
1.2%
5 30
 
1.0%
0 29
 
1.0%
6 28
 
0.9%
7 28
 
0.9%
8 25
 
0.8%
9 17
 
0.6%
Other values (31) 116
 
3.9%
(Missing) 2151
72.3%
ValueCountFrequency (%)
0 29
 
1.0%
1 228
7.7%
2 198
6.7%
3 89
 
3.0%
4 36
 
1.2%
5 30
 
1.0%
6 28
 
0.9%
7 28
 
0.9%
8 25
 
0.8%
9 17
 
0.6%
ValueCountFrequency (%)
50 1
< 0.1%
48 1
< 0.1%
42 1
< 0.1%
40 2
0.1%
39 1
< 0.1%
38 1
< 0.1%
37 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
31 1
< 0.1%

비상계단여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing287
Missing (%)9.6%
Memory size5.9 KiB
False
2145 
True
543 
(Missing)
287 
ValueCountFrequency (%)
False 2145
72.1%
True 543
 
18.3%
(Missing) 287
 
9.6%
2023-12-11T04:31:15.486615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing247
Missing (%)8.3%
Memory size5.9 KiB
False
2073 
True
655 
(Missing)
247 
ValueCountFrequency (%)
False 2073
69.7%
True 655
 
22.0%
(Missing) 247
 
8.3%
2023-12-11T04:31:15.621362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing333
Missing (%)11.2%
Memory size5.9 KiB
False
2162 
True
480 
(Missing)
333 
ValueCountFrequency (%)
False 2162
72.7%
True 480
 
16.1%
(Missing) 333
 
11.2%
2023-12-11T04:31:15.738350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)0.2%
Missing1687
Missing (%)56.7%
Memory size5.9 KiB
True
826 
False
462 
(Missing)
1687 
ValueCountFrequency (%)
True 826
27.8%
False 462
 
15.5%
(Missing) 1687
56.7%
2023-12-11T04:31:15.867228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing404
Missing (%)13.6%
Memory size5.9 KiB
False
2079 
True
492 
(Missing)
404 
ValueCountFrequency (%)
False 2079
69.9%
True 492
 
16.5%
(Missing) 404
 
13.6%
2023-12-11T04:31:15.993769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing292
Missing (%)9.8%
Memory size5.9 KiB
False
2114 
True
569 
(Missing)
292 
ValueCountFrequency (%)
False 2114
71.1%
True 569
 
19.1%
(Missing) 292
 
9.8%
2023-12-11T04:31:16.105393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
2970 
전체이용가
 
5

Length

Max length5
Median length4
Mean length4.0016807
Min length4

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> 2970
99.8%
전체이용가 5
 
0.2%

Length

2023-12-11T04:31:16.260567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:16.734406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2970
99.8%
전체이용가 5
 
0.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2975
Missing (%)100.0%
Memory size26.3 KiB

지역구분명
Categorical

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
<NA>
1724 
일반주거지역
609 
일반상업지역
218 
준주거지역
 
113
중심상업지역
 
102
Other values (10)
209 

Length

Max length6
Median length4
Mean length4.7364706
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1724
57.9%
일반주거지역 609
 
20.5%
일반상업지역 218
 
7.3%
준주거지역 113
 
3.8%
중심상업지역 102
 
3.4%
근린상업지역 84
 
2.8%
상업지역 52
 
1.7%
주거지역 41
 
1.4%
일반공업지역 12
 
0.4%
준공업지역 8
 
0.3%
Other values (5) 12
 
0.4%

Length

2023-12-11T04:31:16.914721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1724
57.9%
일반주거지역 609
 
20.5%
일반상업지역 218
 
7.3%
준주거지역 113
 
3.8%
중심상업지역 102
 
3.4%
근린상업지역 84
 
2.8%
상업지역 52
 
1.7%
주거지역 41
 
1.4%
일반공업지역 12
 
0.4%
준공업지역 8
 
0.3%
Other values (5) 12
 
0.4%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01노래연습장업03_09_01_P3410000CDFF324205199500000219950213<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-7826<NA><NA>대구광역시 중구 대봉동 22-31번지대구광역시 중구 동덕로 78 (대봉동)<NA>센트로노래연습장20180912134122U2018-09-12 23:59:59.0<NA>344776.601787263582.704425노래연습장업유통관련업<NA><NA><NA>82.0<NA>1<NA><NA><NA>4<NA>YYY<NA>YY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12노래연습장업03_09_01_P3410000CDFF324205199500000319950526<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-1196<NA><NA>대구광역시 중구 남산동 2269-10번지대구광역시 중구 명덕로 73 (남산동)41977아리랑20160404104253I2018-08-31 23:59:59.0<NA>342540.616132263161.983558노래연습장업유통관련업<NA><NA><NA>73.82<NA><NA><NA><NA>5<NA>YYY<NA>YY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23노래연습장업03_09_01_P3410000CDFF324205201900000220190501<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 6-34번지대구광역시 중구 달구벌대로450길 30, 2층 (대봉동)41951이등병 동전 노래연습장20190603103227U2019-06-05 02:40:00.0<NA>345080.58354263468.867911노래연습장업유통관련업3기타<NA>50.62<NA>기타1.5<NA>66YYYY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
34노래연습장업03_09_01_P3410000CDFF324205201900000120190430<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 63-141번지대구광역시 중구 공평로 31 (삼덕동1가)41942보이스코리아코인노래연습장20190603103502U2019-06-05 02:40:00.0<NA>344404.737559264119.150954노래연습장업유통관련업5기타<NA>135.7841기타<NA><NA>2121YY<NA>Y<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>중심상업지역
45노래연습장업03_09_01_P3410000CDFF324205201900000320190516<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 68-25번지대구광역시 중구 동성로2길 83, 2층 (동성로2가)41938세븐스타코인노래연습장 대구동성로점20190603103353U2019-06-05 02:40:00.0<NA>344158.371332264459.555442노래연습장업유통관련업9기타<NA>266.8221근린생활시설1.5<NA>2828YYYY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>중심상업지역
56노래연습장업03_09_01_P3410000CDFF324205201600000120160310<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-0222<NA><NA>대구광역시 중구 삼덕동1가 5-12번지 지상 3층대구광역시 중구 동성로2길 45 (삼덕동1가, 지상 3층)41941일통이통 동전노래연습장20171026111045I2018-08-31 23:59:59.0<NA>344101.164227264272.50435노래연습장업유통관련업5유흥업소밀집지역<NA>363.451근린생활시설1.040.04040YYYY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>중심상업지역
67노래연습장업03_09_01_P3410000CDFF324205199800002019981211<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>427-1446<NA>700811대구광역시 중구 대봉동 123-18번지대구광역시 중구 동덕로 23-1 (대봉동)<NA>황신혜20040812104544I2018-08-31 23:59:59.0<NA>344873.493756263097.836936노래연습장업유통관련업<NA><NA><NA>106.0<NA>1<NA><NA><NA><NA><NA>YYYYYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78노래연습장업03_09_01_P3410000CDFF324205199900001819990415<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-2444<NA><NA>대구광역시 중구 동성로2가 118-1번지대구광역시 중구 동성로 23 (동성로2가)<NA>뉴빅타운20150807103049I2018-08-31 23:59:59.0<NA>343980.392157264370.30204노래연습장업유통관련업<NA><NA><NA>89.59<NA>1<NA><NA><NA><NA>8YYYYYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89노래연습장업03_09_01_P3410000CDFF324205201800000420180731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2번지 지상3대구광역시 중구 동성로5길 25, 3층 (삼덕동1가)41941히트게임존20180731175524I2018-08-31 23:59:59.0<NA>344075.953606264266.216087노래연습장업유통관련업<NA>기타<NA>30.243<NA>기타<NA><NA>1212<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
910노래연습장업03_09_01_P3410000CDFF324205201800000520180808<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 2266-11번지 지상2층대구광역시 중구 명덕로 103, 지상2층 (남산동)41977투니동전노래연습장20181213172648U2018-12-15 02:40:00.0<NA>342828.184813263014.628019노래연습장업유통관련업4기타<NA>101.02<NA>근린생활시설<NA><NA>1111YY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
29652966노래연습장업03_09_01_P3480000CDFF324205200900000320090723<NA>1영업/정상13영업중<NA><NA><NA><NA>585-8467<NA><NA>대구광역시 달성군 다사읍 매곡리 1547-14번지 (3층)대구광역시 달성군 다사읍 대실역북로1길 29-1742914와바 노래연습장20171218095557I2018-08-31 23:59:59.0<NA>332271.591934263125.189165노래연습장업유통관련업4기타<NA>247.983<NA>근린생활시설1.070.07<NA>YYY<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
29662967노래연습장업03_09_01_P3480000CDFF324205201000000120100106<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-9112<NA><NA>대구광역시 달성군 논공읍 북리 824-9번지 2층대구광역시 달성군 논공읍 논공로 74742986부킹 노래연습장20170627144400I2018-08-31 23:59:59.0<NA>330693.333053248646.402636노래연습장업유통관련업2기타<NA>237.4520근린생활시설<NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
29672968노래연습장업03_09_01_P3480000CDFF324205201000000220100513<NA>1영업/정상13영업중<NA><NA><NA><NA>053-587-3340<NA><NA>대구광역시 달성군 다사읍 매곡리 1547-6번지대구광역시 달성군 다사읍 대실역북로1길 1742914궁전 노래연습장20161215163850I2018-08-31 23:59:59.0<NA>332301.445141263129.844558노래연습장업유통관련업2아파트지역<NA>118.32<NA>근린생활시설1.330.060YYY<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
29682969노래연습장업03_09_01_P3480000CDFF324205201100000320110520<NA>1영업/정상13영업중<NA><NA><NA><NA>053-593-9534<NA><NA>대구광역시 달성군 다사읍 매곡리 1548-3번지 (2층)대구광역시 달성군 다사읍 대실역북로1길 5-542914필노래연습장20180131142534I2018-08-31 23:59:59.0<NA>332373.889865263005.797781노래연습장업유통관련업2주택가주변<NA>157.482<NA>근린생활시설<NA>60.070YY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
29692970노래연습장업03_09_01_P3480000CDFF324205201100000420111007<NA>1영업/정상13영업중<NA><NA><NA><NA>053-615-4607<NA><NA>대구광역시 달성군 구지면 응암리 1188-6번지 (2층)대구광역시 달성군 구지면 과학마을로2길 5-1443009심플노래연습장20160824083541I2018-08-31 23:59:59.0<NA>328039.908607240434.828496노래연습장업유통관련업3주택가주변<NA>152.313<NA>근린생활시설<NA><NA>50YY<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
29702971노래연습장업03_09_01_P3480000CDFF324205201100000520111014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 441번지 외 2필지(1층)대구광역시 달성군 현풍면 현풍동로29길 4042999헨젤과그레텔 노래연습장20160607135120I2018-08-31 23:59:59.0<NA>330590.471691245095.73429노래연습장업유통관련업4주택가주변<NA>132.281<NA>근린생활시설1.340.063<NA>Y<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
29712972노래연습장업03_09_01_P3480000CDFF324205201200000120121123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 38-4번지 지하1층대구광역시 달성군 화원읍 비슬로 지하 259942955돼지동전노래연습장20160524135322I2018-08-31 23:59:59.0<NA>335578.677614257117.415134노래연습장업유통관련업5기타<NA>264.97<NA>1근린생활시설<NA><NA>1313<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29722973노래연습장업03_09_01_P3480000CDFF324205201300000120131025<NA>1영업/정상13영업중<NA><NA><NA><NA>617-0004<NA><NA>대구광역시 달성군 구지면 응암리 1189-1번지대구광역시 달성군 구지면 과학마을로 3043009골드노래연습장20190719134844U2019-07-21 02:40:00.0<NA>328015.993727240483.177406노래연습장업유통관련업5<NA><NA>136.665<NA>근린생활시설<NA>40.040<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
29732974노래연습장업03_09_01_P3480000CDFF324205201300000220131224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1548번지 301호대구광역시 달성군 다사읍 대실역북로1길 5-1, 3층 301호42914쇼 동전노래연습장20160504161216I2018-08-31 23:59:59.0<NA>332394.903892263025.677676노래연습장업유통관련업3<NA><NA>229.35<NA><NA><NA>2.060.02020<NA>YYY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29742975노래연습장업03_09_01_P3480000CDFF324205201400000120140610<NA>3폐업3폐업20190604<NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-206번지대구광역시 달성군 논공읍 논공로 740, 3층42979빵빵동전노래연습장20190604154009U2019-06-06 02:40:00.0<NA>330748.945934248717.887747노래연습장업유통관련업4기타<NA>183.563<NA>근린생활시설1.050.02222YYYY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역