Overview

Dataset statistics

Number of variables60
Number of observations4101
Missing cells102723
Missing cells (%)41.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory517.0 B

Variable types

Numeric19
Categorical13
Text6
Unsupported15
DateTime1
Boolean6

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123058

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
제공게임물명 has constant value ""Constant
상세영업상태명 is highly imbalanced (54.6%)Imbalance
휴업시작일자 is highly imbalanced (99.6%)Imbalance
휴업종료일자 is highly imbalanced (99.6%)Imbalance
주변환경명 is highly imbalanced (54.3%)Imbalance
건물용도명 is highly imbalanced (73.6%)Imbalance
지역구분명 is highly imbalanced (58.1%)Imbalance
인허가취소일자 has 3978 (97.0%) missing valuesMissing
폐업일자 has 1909 (46.5%) missing valuesMissing
재개업일자 has 4101 (100.0%) missing valuesMissing
소재지전화 has 1142 (27.8%) missing valuesMissing
소재지면적 has 4101 (100.0%) missing valuesMissing
소재지우편번호 has 3049 (74.3%) missing valuesMissing
도로명전체주소 has 329 (8.0%) missing valuesMissing
도로명우편번호 has 1789 (43.6%) missing valuesMissing
업태구분명 has 4101 (100.0%) missing valuesMissing
좌표정보(x) has 168 (4.1%) missing valuesMissing
좌표정보(y) has 168 (4.1%) missing valuesMissing
총층수 has 2392 (58.3%) missing valuesMissing
제작취급품목내용 has 4101 (100.0%) missing valuesMissing
시설면적 has 671 (16.4%) missing valuesMissing
지상층수 has 2362 (57.6%) missing valuesMissing
지하층수 has 2332 (56.9%) missing valuesMissing
통로너비 has 3340 (81.4%) missing valuesMissing
조명시설조도 has 3360 (81.9%) missing valuesMissing
노래방실수 has 1066 (26.0%) missing valuesMissing
청소년실수 has 2414 (58.9%) missing valuesMissing
비상계단여부 has 938 (22.9%) missing valuesMissing
비상구여부 has 909 (22.2%) missing valuesMissing
자동환기여부 has 988 (24.1%) missing valuesMissing
청소년실여부 has 1788 (43.6%) missing valuesMissing
특수조명여부 has 1099 (26.8%) missing valuesMissing
방음시설여부 has 917 (22.4%) missing valuesMissing
비디오재생기명 has 4101 (100.0%) missing valuesMissing
조명시설유무 has 4101 (100.0%) missing valuesMissing
음향시설여부 has 4101 (100.0%) missing valuesMissing
편의시설여부 has 4101 (100.0%) missing valuesMissing
소방시설여부 has 4101 (100.0%) missing valuesMissing
총게임기수 has 4101 (100.0%) missing valuesMissing
기존게임업외업종명 has 4101 (100.0%) missing valuesMissing
제공게임물명 has 4100 (> 99.9%) missing valuesMissing
공연장형태구분명 has 4101 (100.0%) missing valuesMissing
품목명 has 4101 (100.0%) missing valuesMissing
최초등록시점 has 4101 (100.0%) missing valuesMissing
Unnamed: 59 has 4101 (100.0%) missing valuesMissing
지상층수 is highly skewed (γ1 = 31.30718271)Skewed
통로너비 is highly skewed (γ1 = 22.70314901)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
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 57 (1.4%) zerosZeros
시설면적 has 47 (1.1%) zerosZeros
지상층수 has 56 (1.4%) zerosZeros
지하층수 has 71 (1.7%) zerosZeros
청소년실수 has 73 (1.8%) zerosZeros

Reproduction

Analysis started2024-04-17 12:16:01.072758
Analysis finished2024-04-17 12:16:02.253157
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2051
Minimum1
Maximum4101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:02.308356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile206
Q11026
median2051
Q33076
95-th percentile3896
Maximum4101
Range4100
Interquartile range (IQR)2050

Descriptive statistics

Standard deviation1184.0011
Coefficient of variation (CV)0.57727989
Kurtosis-1.2
Mean2051
Median Absolute Deviation (MAD)1025
Skewness0
Sum8411151
Variance1401858.5
MonotonicityStrictly increasing
2024-04-17T21:16:02.416665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2565 1
 
< 0.1%
2727 1
 
< 0.1%
2728 1
 
< 0.1%
2729 1
 
< 0.1%
2730 1
 
< 0.1%
2731 1
 
< 0.1%
2732 1
 
< 0.1%
2733 1
 
< 0.1%
2734 1
 
< 0.1%
Other values (4091) 4091
99.8%
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 (%)
4101 1
< 0.1%
4100 1
< 0.1%
4099 1
< 0.1%
4098 1
< 0.1%
4097 1
< 0.1%
4096 1
< 0.1%
4095 1
< 0.1%
4094 1
< 0.1%
4093 1
< 0.1%
4092 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
노래연습장업
4101 

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 4101
100.0%

Length

2024-04-17T21:16:02.515379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:02.590349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 4101
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
03_09_01_P
4101 

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 4101
100.0%

Length

2024-04-17T21:16:02.674978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:02.762392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_09_01_p 4101
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328146.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:02.851166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38992.543
Coefficient of variation (CV)0.011715993
Kurtosis-0.84889598
Mean3328146.8
Median Absolute Deviation (MAD)30000
Skewness0.11426714
Sum1.364873 × 1010
Variance1.5204184 × 109
MonotonicityNot monotonic
2024-04-17T21:16:02.951454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 573
14.0%
3300000 456
11.1%
3330000 433
10.6%
3350000 367
8.9%
3320000 330
8.0%
3390000 325
7.9%
3340000 317
7.7%
3380000 258
6.3%
3310000 245
6.0%
3370000 235
5.7%
Other values (6) 562
13.7%
ValueCountFrequency (%)
3250000 125
 
3.0%
3260000 85
 
2.1%
3270000 76
 
1.9%
3280000 101
 
2.5%
3290000 573
14.0%
3300000 456
11.1%
3310000 245
6.0%
3320000 330
8.0%
3330000 433
10.6%
3340000 317
7.7%
ValueCountFrequency (%)
3400000 130
 
3.2%
3390000 325
7.9%
3380000 258
6.3%
3370000 235
5.7%
3360000 45
 
1.1%
3350000 367
8.9%
3340000 317
7.7%
3330000 433
10.6%
3320000 330
8.0%
3310000 245
6.0%

관리번호
Text

Distinct955
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
2024-04-17T21:16:03.121834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters82020
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

Unique391 ?
Unique (%)9.5%

Sample

1st rowCDFF3242052003000004
2nd rowCDFF3242052003000005
3rd rowCDFF3242052003000006
4th rowCDFF3242052003000007
5th rowCDFF3242052003000008
ValueCountFrequency (%)
cdff3242052017000001 16
 
0.4%
cdff3242052014000001 15
 
0.4%
cdff3242052004000001 15
 
0.4%
cdff3242052016000001 15
 
0.4%
cdff3242051999000002 15
 
0.4%
cdff3242052002000001 15
 
0.4%
cdff3242052016000002 15
 
0.4%
cdff3242052005000001 14
 
0.3%
cdff3242052017000002 14
 
0.3%
cdff3242052002000003 14
 
0.3%
Other values (945) 3953
96.4%
2024-04-17T21:16:03.387153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27123
33.1%
2 12166
14.8%
F 8202
 
10.0%
3 5270
 
6.4%
4 5093
 
6.2%
5 4911
 
6.0%
9 4499
 
5.5%
1 4306
 
5.2%
C 4101
 
5.0%
D 4101
 
5.0%
Other values (3) 2248
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65616
80.0%
Uppercase Letter 16404
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27123
41.3%
2 12166
18.5%
3 5270
 
8.0%
4 5093
 
7.8%
5 4911
 
7.5%
9 4499
 
6.9%
1 4306
 
6.6%
7 791
 
1.2%
6 756
 
1.2%
8 701
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 8202
50.0%
C 4101
25.0%
D 4101
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65616
80.0%
Latin 16404
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27123
41.3%
2 12166
18.5%
3 5270
 
8.0%
4 5093
 
7.8%
5 4911
 
7.5%
9 4499
 
6.9%
1 4306
 
6.6%
7 791
 
1.2%
6 756
 
1.2%
8 701
 
1.1%
Latin
ValueCountFrequency (%)
F 8202
50.0%
C 4101
25.0%
D 4101
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27123
33.1%
2 12166
14.8%
F 8202
 
10.0%
3 5270
 
6.4%
4 5093
 
6.2%
5 4911
 
6.0%
9 4499
 
5.5%
1 4306
 
5.2%
C 4101
 
5.0%
D 4101
 
5.0%
Other values (3) 2248
 
2.7%

인허가일자
Real number (ℝ)

Distinct2553
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20015343
Minimum19000101
Maximum20210310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:03.509172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000101
5-th percentile19931109
Q119971020
median20010126
Q320040406
95-th percentile20160223
Maximum20210310
Range1210209
Interquartile range (IQR)69386

Descriptive statistics

Standard deviation64124.356
Coefficient of variation (CV)0.00320376
Kurtosis15.538843
Mean20015343
Median Absolute Deviation (MAD)30677
Skewness-0.071539988
Sum8.2082923 × 1010
Variance4.111933 × 109
MonotonicityNot monotonic
2024-04-17T21:16:03.630624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021210 66
 
1.6%
20021211 59
 
1.4%
20021205 37
 
0.9%
20021206 26
 
0.6%
19921013 25
 
0.6%
20021207 23
 
0.6%
19990630 20
 
0.5%
19990716 9
 
0.2%
19990702 9
 
0.2%
19920713 7
 
0.2%
Other values (2543) 3820
93.1%
ValueCountFrequency (%)
19000101 1
 
< 0.1%
19920112 1
 
< 0.1%
19920710 1
 
< 0.1%
19920711 2
 
< 0.1%
19920713 7
0.2%
19920905 1
 
< 0.1%
19920907 2
 
< 0.1%
19920917 2
 
< 0.1%
19920919 1
 
< 0.1%
19920926 1
 
< 0.1%
ValueCountFrequency (%)
20210310 1
< 0.1%
20210218 1
< 0.1%
20210115 1
< 0.1%
20201230 1
< 0.1%
20201012 1
< 0.1%
20200917 1
< 0.1%
20200907 1
< 0.1%
20200804 1
< 0.1%
20200625 1
< 0.1%
20200622 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)92.7%
Missing3978
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean20097938
Minimum19990611
Maximum20201116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:03.774676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990611
5-th percentile20050408
Q120070710
median20090714
Q320121014
95-th percentile20189305
Maximum20201116
Range210505
Interquartile range (IQR)50304.5

Descriptive statistics

Standard deviation38947.068
Coefficient of variation (CV)0.0019378639
Kurtosis0.66120788
Mean20097938
Median Absolute Deviation (MAD)20392
Skewness0.71602915
Sum2.4720464 × 109
Variance1.5168741 × 109
MonotonicityNot monotonic
2024-04-17T21:16:03.885105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090929 3
 
0.1%
20150522 2
 
< 0.1%
20201116 2
 
< 0.1%
20070418 2
 
< 0.1%
20090714 2
 
< 0.1%
20090825 2
 
< 0.1%
20060407 2
 
< 0.1%
20140416 2
 
< 0.1%
20050406 1
 
< 0.1%
20121123 1
 
< 0.1%
Other values (104) 104
 
2.5%
(Missing) 3978
97.0%
ValueCountFrequency (%)
19990611 1
< 0.1%
20040728 1
< 0.1%
20040809 1
< 0.1%
20040909 1
< 0.1%
20041018 1
< 0.1%
20041115 1
< 0.1%
20050406 1
< 0.1%
20050425 1
< 0.1%
20050502 1
< 0.1%
20050712 1
< 0.1%
ValueCountFrequency (%)
20201116 2
< 0.1%
20200803 1
< 0.1%
20191115 1
< 0.1%
20190701 1
< 0.1%
20190220 1
< 0.1%
20190203 1
< 0.1%
20181224 1
< 0.1%
20160617 1
< 0.1%
20151103 1
< 0.1%
20151016 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
3
2059 
1
1724 
4
317 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 2059
50.2%
1 1724
42.0%
4 317
 
7.7%
2 1
 
< 0.1%

Length

2024-04-17T21:16:03.983124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:04.081257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2059
50.2%
1 1724
42.0%
4 317
 
7.7%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
폐업
2059 
영업/정상
1724 
취소/말소/만료/정지/중지
317 
휴업
 
1

Length

Max length14
Median length2
Mean length4.1887345
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2059
50.2%
영업/정상 1724
42.0%
취소/말소/만료/정지/중지 317
 
7.7%
휴업 1
 
< 0.1%

Length

2024-04-17T21:16:04.194756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:04.302648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2059
50.2%
영업/정상 1724
42.0%
취소/말소/만료/정지/중지 317
 
7.7%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5291392
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:04.392976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile31
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.3423072
Coefficient of variation (CV)0.87545234
Kurtosis2.33387
Mean9.5291392
Median Absolute Deviation (MAD)0
Skewness1.5654946
Sum39079
Variance69.59409
MonotonicityNot monotonic
2024-04-17T21:16:04.471864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 2058
50.2%
13 1724
42.0%
35 169
 
4.1%
31 102
 
2.5%
30 30
 
0.7%
33 10
 
0.2%
25 6
 
0.1%
34 1
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 2058
50.2%
13 1724
42.0%
25 6
 
0.1%
30 30
 
0.7%
31 102
 
2.5%
33 10
 
0.2%
34 1
 
< 0.1%
35 169
 
4.1%
ValueCountFrequency (%)
35 169
 
4.1%
34 1
 
< 0.1%
33 10
 
0.2%
31 102
 
2.5%
30 30
 
0.7%
25 6
 
0.1%
13 1724
42.0%
3 2058
50.2%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
폐업
2058 
영업중
1724 
직권말소
 
169
등록취소
 
102
허가취소
 
30
Other values (4)
 
18

Length

Max length5
Median length2
Mean length2.5757132
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2058
50.2%
영업중 1724
42.0%
직권말소 169
 
4.1%
등록취소 102
 
2.5%
허가취소 30
 
0.7%
지정취소 10
 
0.2%
영업정지 6
 
0.1%
영업장폐쇄 1
 
< 0.1%
휴업 1
 
< 0.1%

Length

2024-04-17T21:16:04.566463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:04.664677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2058
50.2%
영업중 1724
42.0%
직권말소 169
 
4.1%
등록취소 102
 
2.5%
허가취소 30
 
0.7%
지정취소 10
 
0.2%
영업정지 6
 
0.1%
영업장폐쇄 1
 
< 0.1%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1632
Distinct (%)74.5%
Missing1909
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean20110491
Minimum19980817
Maximum20210303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:04.806650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980817
5-th percentile20010864
Q120061106
median20110131
Q320170103
95-th percentile20200702
Maximum20210303
Range229486
Interquartile range (IQR)108997.25

Descriptive statistics

Standard deviation59797.371
Coefficient of variation (CV)0.0029734416
Kurtosis-1.13798
Mean20110491
Median Absolute Deviation (MAD)50080
Skewness-0.052112061
Sum4.4082197 × 1010
Variance3.5757256 × 109
MonotonicityNot monotonic
2024-04-17T21:16:04.920632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20071126 24
 
0.6%
20201217 21
 
0.5%
20040317 16
 
0.4%
20100219 8
 
0.2%
20140703 8
 
0.2%
20170530 7
 
0.2%
20140325 7
 
0.2%
20151228 7
 
0.2%
20000214 7
 
0.2%
20130822 6
 
0.1%
Other values (1622) 2081
50.7%
(Missing) 1909
46.5%
ValueCountFrequency (%)
19980817 1
< 0.1%
19981011 1
< 0.1%
19990610 2
< 0.1%
19990611 1
< 0.1%
19990617 1
< 0.1%
19990706 1
< 0.1%
19990728 1
< 0.1%
19990830 1
< 0.1%
19990831 1
< 0.1%
19990908 2
< 0.1%
ValueCountFrequency (%)
20210303 2
< 0.1%
20210225 1
< 0.1%
20210219 2
< 0.1%
20210217 1
< 0.1%
20210215 1
< 0.1%
20210203 1
< 0.1%
20210119 1
< 0.1%
20210115 1
< 0.1%
20210114 1
< 0.1%
20210112 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4099 
20120827
 
1
20091029
 
1

Length

Max length8
Median length4
Mean length4.0019507
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> 4099
> 99.9%
20120827 1
 
< 0.1%
20091029 1
 
< 0.1%

Length

2024-04-17T21:16:05.024663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:05.109663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4099
> 99.9%
20120827 1
 
< 0.1%
20091029 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4099 
20150824
 
1
20091104
 
1

Length

Max length8
Median length4
Mean length4.0019507
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> 4099
> 99.9%
20150824 1
 
< 0.1%
20091104 1
 
< 0.1%

Length

2024-04-17T21:16:05.197589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:05.278695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4099
> 99.9%
20150824 1
 
< 0.1%
20091104 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

소재지전화
Text

MISSING 

Distinct2875
Distinct (%)97.2%
Missing1142
Missing (%)27.8%
Memory size32.2 KiB
2024-04-17T21:16:05.436883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.6870564
Min length1

Characters and Unicode

Total characters25705
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2819 ?
Unique (%)95.3%

Sample

1st row243-1131
2nd row467-3587
3rd row245-8214
4th row242-8089
5th row253-6777
ValueCountFrequency (%)
30
 
1.0%
818-550 3
 
0.1%
808-6990 2
 
0.1%
051)508-0304 2
 
0.1%
415-1848 2
 
0.1%
624-6622 2
 
0.1%
254-1797 2
 
0.1%
526-3027 2
 
0.1%
702-8858 2
 
0.1%
702-8889 2
 
0.1%
Other values (2865) 2911
98.3%
2024-04-17T21:16:05.712992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3240
12.6%
- 3234
12.6%
2 2471
9.6%
0 2470
9.6%
1 2466
9.6%
3 2361
9.2%
8 2135
8.3%
6 1988
7.7%
7 1900
7.4%
4 1778
6.9%
Other values (5) 1662
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22193
86.3%
Dash Punctuation 3234
 
12.6%
Close Punctuation 259
 
1.0%
Other Punctuation 18
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3240
14.6%
2 2471
11.1%
0 2470
11.1%
1 2466
11.1%
3 2361
10.6%
8 2135
9.6%
6 1988
9.0%
7 1900
8.6%
4 1778
8.0%
9 1384
6.2%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
' 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 3234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25705
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3240
12.6%
- 3234
12.6%
2 2471
9.6%
0 2470
9.6%
1 2466
9.6%
3 2361
9.2%
8 2135
8.3%
6 1988
7.7%
7 1900
7.4%
4 1778
6.9%
Other values (5) 1662
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3240
12.6%
- 3234
12.6%
2 2471
9.6%
0 2470
9.6%
1 2466
9.6%
3 2361
9.2%
8 2135
8.3%
6 1988
7.7%
7 1900
7.4%
4 1778
6.9%
Other values (5) 1662
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)32.4%
Missing3049
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean610410.09
Minimum600013
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:05.826634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600013
5-th percentile600812.65
Q1607815
median611803.5
Q3614845
95-th percentile616852
Maximum619961
Range19948
Interquartile range (IQR)7030

Descriptive statistics

Standard deviation4957.5212
Coefficient of variation (CV)0.0081216239
Kurtosis-0.73968274
Mean610410.09
Median Absolute Deviation (MAD)3049.5
Skewness-0.46539322
Sum6.4215142 × 108
Variance24577017
MonotonicityNot monotonic
2024-04-17T21:16:05.942094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614847 35
 
0.9%
609839 32
 
0.8%
614846 21
 
0.5%
614853 19
 
0.5%
614845 18
 
0.4%
607833 18
 
0.4%
604080 15
 
0.4%
604020 13
 
0.3%
612846 13
 
0.3%
612847 13
 
0.3%
Other values (331) 855
 
20.8%
(Missing) 3049
74.3%
ValueCountFrequency (%)
600013 2
 
< 0.1%
600022 1
 
< 0.1%
600023 2
 
< 0.1%
600025 2
 
< 0.1%
600042 1
 
< 0.1%
600043 2
 
< 0.1%
600044 3
0.1%
600045 6
0.1%
600046 7
0.2%
600050 1
 
< 0.1%
ValueCountFrequency (%)
619961 1
 
< 0.1%
619912 1
 
< 0.1%
619906 1
 
< 0.1%
619905 4
0.1%
619904 2
< 0.1%
619903 1
 
< 0.1%
618816 1
 
< 0.1%
618815 2
< 0.1%
618410 2
< 0.1%
617846 2
< 0.1%

소재지전체주소
Text

Distinct3836
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
2024-04-17T21:16:06.201547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length22.749329
Min length7

Characters and Unicode

Total characters93295
Distinct characters281
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3594 ?
Unique (%)87.6%

Sample

1st row부산광역시 중구 남포동4가 28-2번지
2nd row부산광역시 중구 중앙동4가 55-6번지
3rd row부산광역시 중구 동광동3가 21-1번지
4th row부산광역시 중구 남포동6가 6번지
5th row부산광역시 중구 부평동2가 22-3
ValueCountFrequency (%)
부산광역시 4099
23.5%
부산진구 573
 
3.3%
동래구 454
 
2.6%
해운대구 433
 
2.5%
금정구 367
 
2.1%
북구 330
 
1.9%
사상구 325
 
1.9%
사하구 317
 
1.8%
지하1층 275
 
1.6%
수영구 259
 
1.5%
Other values (3990) 10032
57.4%
2024-04-17T21:16:06.777317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13364
 
14.3%
부 5019
 
5.4%
산 4931
 
5.3%
동 4772
 
5.1%
1 4406
 
4.7%
광 4196
 
4.5%
구 4139
 
4.4%
시 4102
 
4.4%
역 4099
 
4.4%
지 4089
 
4.4%
Other values (271) 40178
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55647
59.6%
Decimal Number 19757
 
21.2%
Space Separator 13364
 
14.3%
Dash Punctuation 3930
 
4.2%
Open Punctuation 270
 
0.3%
Close Punctuation 270
 
0.3%
Other Punctuation 31
 
< 0.1%
Uppercase Letter 21
 
< 0.1%
Letter Number 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 5019
 
9.0%
산 4931
 
8.9%
동 4772
 
8.6%
광 4196
 
7.5%
구 4139
 
7.4%
시 4102
 
7.4%
역 4099
 
7.4%
지 4089
 
7.3%
번 3714
 
6.7%
대 746
 
1.3%
Other values (241) 15840
28.5%
Decimal Number
ValueCountFrequency (%)
1 4406
22.3%
2 2858
14.5%
3 2189
11.1%
4 1998
10.1%
5 1665
 
8.4%
6 1452
 
7.3%
0 1446
 
7.3%
7 1278
 
6.5%
8 1271
 
6.4%
9 1194
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
38.1%
A 4
19.0%
D 2
 
9.5%
S 2
 
9.5%
C 2
 
9.5%
G 1
 
4.8%
N 1
 
4.8%
K 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 19
61.3%
. 7
 
22.6%
/ 3
 
9.7%
@ 1
 
3.2%
& 1
 
3.2%
Space Separator
ValueCountFrequency (%)
13364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3930
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55647
59.6%
Common 37624
40.3%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5019
 
9.0%
산 4931
 
8.9%
동 4772
 
8.6%
광 4196
 
7.5%
구 4139
 
7.4%
시 4102
 
7.4%
역 4099
 
7.4%
지 4089
 
7.3%
번 3714
 
6.7%
대 746
 
1.3%
Other values (241) 15840
28.5%
Common
ValueCountFrequency (%)
13364
35.5%
1 4406
 
11.7%
- 3930
 
10.4%
2 2858
 
7.6%
3 2189
 
5.8%
4 1998
 
5.3%
5 1665
 
4.4%
6 1452
 
3.9%
0 1446
 
3.8%
7 1278
 
3.4%
Other values (10) 3038
 
8.1%
Latin
ValueCountFrequency (%)
B 8
33.3%
A 4
16.7%
D 2
 
8.3%
Ⅱ 2
 
8.3%
S 2
 
8.3%
C 2
 
8.3%
G 1
 
4.2%
N 1
 
4.2%
K 1
 
4.2%
g 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55647
59.6%
ASCII 37646
40.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13364
35.5%
1 4406
 
11.7%
- 3930
 
10.4%
2 2858
 
7.6%
3 2189
 
5.8%
4 1998
 
5.3%
5 1665
 
4.4%
6 1452
 
3.9%
0 1446
 
3.8%
7 1278
 
3.4%
Other values (19) 3060
 
8.1%
Hangul
ValueCountFrequency (%)
부 5019
 
9.0%
산 4931
 
8.9%
동 4772
 
8.6%
광 4196
 
7.5%
구 4139
 
7.4%
시 4102
 
7.4%
역 4099
 
7.4%
지 4089
 
7.3%
번 3714
 
6.7%
대 746
 
1.3%
Other values (241) 15840
28.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명전체주소
Text

MISSING 

Distinct3652
Distinct (%)96.8%
Missing329
Missing (%)8.0%
Memory size32.2 KiB
2024-04-17T21:16:07.084054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length27.055408
Min length18

Characters and Unicode

Total characters102053
Distinct characters337
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

Unique3542 ?
Unique (%)93.9%

Sample

1st row부산광역시 중구 자갈치로 74 (남포동4가)
2nd row부산광역시 중구 중앙대로93번길 3 (중앙동4가)
3rd row부산광역시 중구 백산길 18 (동광동3가)
4th row부산광역시 중구 중구로29번길 30-1 (부평동2가)
5th row부산광역시 중구 광복중앙로 28-1 (대청동2가)
ValueCountFrequency (%)
부산광역시 3772
 
18.9%
부산진구 526
 
2.6%
동래구 440
 
2.2%
해운대구 420
 
2.1%
지하1층 388
 
1.9%
금정구 359
 
1.8%
사상구 312
 
1.6%
북구 258
 
1.3%
수영구 253
 
1.3%
남구 245
 
1.2%
Other values (2386) 13006
65.1%
2024-04-17T21:16:07.498482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17332
 
17.0%
부 4672
 
4.6%
동 4625
 
4.5%
산 4610
 
4.5%
광 4037
 
4.0%
시 3907
 
3.8%
구 3900
 
3.8%
역 3772
 
3.7%
) 3692
 
3.6%
( 3692
 
3.6%
Other values (327) 47814
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61288
60.1%
Space Separator 17332
 
17.0%
Decimal Number 14408
 
14.1%
Close Punctuation 3692
 
3.6%
Open Punctuation 3692
 
3.6%
Other Punctuation 1066
 
1.0%
Dash Punctuation 555
 
0.5%
Uppercase Letter 12
 
< 0.1%
Math Symbol 6
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 4672
 
7.6%
동 4625
 
7.5%
산 4610
 
7.5%
광 4037
 
6.6%
시 3907
 
6.4%
구 3900
 
6.4%
역 3772
 
6.2%
로 3642
 
5.9%
길 1767
 
2.9%
번 1686
 
2.8%
Other values (306) 24670
40.3%
Decimal Number
ValueCountFrequency (%)
1 3236
22.5%
2 2154
15.0%
3 1604
11.1%
4 1277
 
8.9%
5 1198
 
8.3%
6 1095
 
7.6%
7 1034
 
7.2%
9 951
 
6.6%
0 943
 
6.5%
8 916
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
A 3
25.0%
K 2
 
16.7%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
17332
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3692
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 555
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61288
60.1%
Common 40751
39.9%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 4672
 
7.6%
동 4625
 
7.5%
산 4610
 
7.5%
광 4037
 
6.6%
시 3907
 
6.4%
구 3900
 
6.4%
역 3772
 
6.2%
로 3642
 
5.9%
길 1767
 
2.9%
번 1686
 
2.8%
Other values (306) 24670
40.3%
Common
ValueCountFrequency (%)
17332
42.5%
) 3692
 
9.1%
( 3692
 
9.1%
1 3236
 
7.9%
2 2154
 
5.3%
3 1604
 
3.9%
4 1277
 
3.1%
5 1198
 
2.9%
6 1095
 
2.7%
, 1066
 
2.6%
Other values (6) 4405
 
10.8%
Latin
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
K 2
 
14.3%
Ⅱ 2
 
14.3%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61288
60.1%
ASCII 40763
39.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17332
42.5%
) 3692
 
9.1%
( 3692
 
9.1%
1 3236
 
7.9%
2 2154
 
5.3%
3 1604
 
3.9%
4 1277
 
3.1%
5 1198
 
2.9%
6 1095
 
2.7%
, 1066
 
2.6%
Other values (10) 4417
 
10.8%
Hangul
ValueCountFrequency (%)
부 4672
 
7.6%
동 4625
 
7.5%
산 4610
 
7.5%
광 4037
 
6.6%
시 3907
 
6.4%
구 3900
 
6.4%
역 3772
 
6.2%
로 3642
 
5.9%
길 1767
 
2.9%
번 1686
 
2.8%
Other values (306) 24670
40.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct875
Distinct (%)37.8%
Missing1789
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean113275.77
Minimum46004
Maximum619951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:07.612151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46291
Q147006
median47894
Q348797.25
95-th percentile612815.9
Maximum619951
Range573947
Interquartile range (IQR)1791.25

Descriptive statistics

Standard deviation180664.22
Coefficient of variation (CV)1.5949062
Kurtosis3.7397952
Mean113275.77
Median Absolute Deviation (MAD)888
Skewness2.3948771
Sum2.6189358 × 108
Variance3.2639562 × 1010
MonotonicityNot monotonic
2024-04-17T21:16:07.713911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49431 28
 
0.7%
47865 25
 
0.6%
48106 24
 
0.6%
48953 22
 
0.5%
46576 21
 
0.5%
48280 21
 
0.5%
47551 20
 
0.5%
47006 20
 
0.5%
48498 19
 
0.5%
47736 19
 
0.5%
Other values (865) 2093
51.0%
(Missing) 1789
43.6%
ValueCountFrequency (%)
46004 1
 
< 0.1%
46008 3
 
0.1%
46012 1
 
< 0.1%
46015 8
0.2%
46017 1
 
< 0.1%
46022 1
 
< 0.1%
46023 1
 
< 0.1%
46032 1
 
< 0.1%
46037 1
 
< 0.1%
46040 1
 
< 0.1%
ValueCountFrequency (%)
619951 1
 
< 0.1%
619912 1
 
< 0.1%
619905 2
< 0.1%
619904 2
< 0.1%
619903 3
0.1%
618808 1
 
< 0.1%
617846 1
 
< 0.1%
617840 1
 
< 0.1%
617838 1
 
< 0.1%
617837 1
 
< 0.1%

사업장명
Text

Distinct2673
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
2024-04-17T21:16:07.931586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length6.9873202
Min length1

Characters and Unicode

Total characters28655
Distinct characters708
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2053 ?
Unique (%)50.1%

Sample

1st row오아시스
2nd row샤본
3rd row호심
4th row진양
5th row도깨비노래연습장
ValueCountFrequency (%)
노래연습장 1027
 
19.3%
동전노래연습장 34
 
0.6%
궁전노래연습장 31
 
0.6%
궁전 27
 
0.5%
코인노래연습장 27
 
0.5%
스타노래연습장 24
 
0.5%
팡팡노래연습장 21
 
0.4%
락휴 20
 
0.4%
앵콜 18
 
0.3%
스타 17
 
0.3%
Other values (2476) 4071
76.6%
2024-04-17T21:16:08.257500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 3244
 
11.3%
노 3221
 
11.2%
장 3209
 
11.2%
연 3196
 
11.2%
습 3166
 
11.0%
1217
 
4.2%
스 369
 
1.3%
리 291
 
1.0%
이 257
 
0.9%
동 205
 
0.7%
Other values (698) 10280
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26677
93.1%
Space Separator 1217
 
4.2%
Uppercase Letter 415
 
1.4%
Decimal Number 206
 
0.7%
Lowercase Letter 43
 
0.2%
Close Punctuation 35
 
0.1%
Open Punctuation 35
 
0.1%
Other Punctuation 16
 
0.1%
Dash Punctuation 9
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 3244
 
12.2%
노 3221
 
12.1%
장 3209
 
12.0%
연 3196
 
12.0%
습 3166
 
11.9%
스 369
 
1.4%
리 291
 
1.1%
이 257
 
1.0%
동 205
 
0.8%
전 186
 
0.7%
Other values (633) 9333
35.0%
Uppercase Letter
ValueCountFrequency (%)
O 49
 
11.8%
K 47
 
11.3%
S 39
 
9.4%
M 27
 
6.5%
P 27
 
6.5%
B 25
 
6.0%
V 21
 
5.1%
I 21
 
5.1%
A 18
 
4.3%
C 16
 
3.9%
Other values (16) 125
30.1%
Lowercase Letter
ValueCountFrequency (%)
o 9
20.9%
n 4
9.3%
e 4
9.3%
g 3
 
7.0%
i 3
 
7.0%
t 3
 
7.0%
d 2
 
4.7%
h 2
 
4.7%
k 2
 
4.7%
s 2
 
4.7%
Other values (9) 9
20.9%
Decimal Number
ValueCountFrequency (%)
2 91
44.2%
1 37
18.0%
0 32
 
15.5%
3 13
 
6.3%
8 9
 
4.4%
5 8
 
3.9%
7 7
 
3.4%
4 4
 
1.9%
6 4
 
1.9%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 10
62.5%
& 3
 
18.8%
' 2
 
12.5%
% 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26676
93.1%
Common 1519
 
5.3%
Latin 459
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 3244
 
12.2%
노 3221
 
12.1%
장 3209
 
12.0%
연 3196
 
12.0%
습 3166
 
11.9%
스 369
 
1.4%
리 291
 
1.1%
이 257
 
1.0%
동 205
 
0.8%
전 186
 
0.7%
Other values (632) 9332
35.0%
Latin
ValueCountFrequency (%)
O 49
 
10.7%
K 47
 
10.2%
S 39
 
8.5%
M 27
 
5.9%
P 27
 
5.9%
B 25
 
5.4%
V 21
 
4.6%
I 21
 
4.6%
A 18
 
3.9%
C 16
 
3.5%
Other values (36) 169
36.8%
Common
ValueCountFrequency (%)
1217
80.1%
2 91
 
6.0%
1 37
 
2.4%
) 35
 
2.3%
( 35
 
2.3%
0 32
 
2.1%
3 13
 
0.9%
. 10
 
0.7%
8 9
 
0.6%
- 9
 
0.6%
Other values (9) 31
 
2.0%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26676
93.1%
ASCII 1977
 
6.9%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 3244
 
12.2%
노 3221
 
12.1%
장 3209
 
12.0%
연 3196
 
12.0%
습 3166
 
11.9%
스 369
 
1.4%
리 291
 
1.1%
이 257
 
1.0%
동 205
 
0.8%
전 186
 
0.7%
Other values (632) 9332
35.0%
ASCII
ValueCountFrequency (%)
1217
61.6%
2 91
 
4.6%
O 49
 
2.5%
K 47
 
2.4%
S 39
 
2.0%
1 37
 
1.9%
) 35
 
1.8%
( 35
 
1.8%
0 32
 
1.6%
M 27
 
1.4%
Other values (54) 368
 
18.6%
CJK
ValueCountFrequency (%)
秀 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct3934
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0138065 × 1013
Minimum2.0021018 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:08.375563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040114 × 1013
Q12.009102 × 1013
median2.0150521 × 1013
Q32.0181126 × 1013
95-th percentile2.0201007 × 1013
Maximum2.0210331 × 1013
Range1.8931306 × 1011
Interquartile range (IQR)9.0106 × 1010

Descriptive statistics

Standard deviation5.2533743 × 1010
Coefficient of variation (CV)0.0026086788
Kurtosis-0.90413879
Mean2.0138065 × 1013
Median Absolute Deviation (MAD)4.0198961 × 1010
Skewness-0.50879693
Sum8.2586205 × 1016
Variance2.7597941 × 1021
MonotonicityNot monotonic
2024-04-17T21:16:08.490332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161348 90
 
2.2%
20180108090959 40
 
1.0%
20021018125445 39
 
1.0%
20180108090340 2
 
< 0.1%
20060105141408 1
 
< 0.1%
20070614110334 1
 
< 0.1%
20070614105859 1
 
< 0.1%
20091102135844 1
 
< 0.1%
20101027172714 1
 
< 0.1%
20071025174510 1
 
< 0.1%
Other values (3924) 3924
95.7%
ValueCountFrequency (%)
20021018125445 39
1.0%
20021108150513 1
 
< 0.1%
20021214125753 1
 
< 0.1%
20021227155914 1
 
< 0.1%
20030108162736 1
 
< 0.1%
20030108163209 1
 
< 0.1%
20030109125515 1
 
< 0.1%
20030114154112 1
 
< 0.1%
20030117135220 1
 
< 0.1%
20030122091653 1
 
< 0.1%
ValueCountFrequency (%)
20210331180828 1
< 0.1%
20210324141100 1
< 0.1%
20210322104348 1
< 0.1%
20210322094447 1
< 0.1%
20210316161418 1
< 0.1%
20210314102201 1
< 0.1%
20210311172640 1
< 0.1%
20210311103343 1
< 0.1%
20210309175501 1
< 0.1%
20210304151955 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
I
3058 
U
1043 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3058
74.6%
U 1043
 
25.4%

Length

2024-04-17T21:16:08.594628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:08.667753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3058
74.6%
u 1043
 
25.4%

데이터갱신일자
Date

Distinct483
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-17T21:16:08.756679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:16:08.880800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3471
Distinct (%)88.3%
Missing168
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean388397.85
Minimum366799.22
Maximum406982.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:08.994789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366799.22
5-th percentile379879
Q1384411.22
median388700.53
Q3391496.45
95-th percentile398214.4
Maximum406982.05
Range40182.836
Interquartile range (IQR)7085.2333

Descriptive statistics

Standard deviation5566.8241
Coefficient of variation (CV)0.014332788
Kurtosis0.33302745
Mean388397.85
Median Absolute Deviation (MAD)3424.6373
Skewness0.12932891
Sum1.5275687 × 109
Variance30989531
MonotonicityNot monotonic
2024-04-17T21:16:09.107020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
398201.868294603 7
 
0.2%
399965.427098023 6
 
0.1%
389861.325719933 5
 
0.1%
389878.534606976 4
 
0.1%
398172.05159959 4
 
0.1%
383005.236517068 4
 
0.1%
387483.085509767 4
 
0.1%
393101.663017873 4
 
0.1%
384303.857194866 4
 
0.1%
389654.53975714 4
 
0.1%
Other values (3461) 3887
94.8%
(Missing) 168
 
4.1%
ValueCountFrequency (%)
366799.216536177 1
< 0.1%
366932.944608323 1
< 0.1%
366953.19719941 1
< 0.1%
367027.361190943 1
< 0.1%
367304.813750513 1
< 0.1%
367327.856117736 1
< 0.1%
367369.529807594 1
< 0.1%
367871.221283027 1
< 0.1%
370628.91266584 1
< 0.1%
371173.79944234 1
< 0.1%
ValueCountFrequency (%)
406982.053033795 2
< 0.1%
405385.675629727 1
< 0.1%
404674.710704763 1
< 0.1%
404272.26542135 1
< 0.1%
403920.394694604 1
< 0.1%
403300.352604734 1
< 0.1%
403285.889461793 1
< 0.1%
403281.971534865 2
< 0.1%
403223.486360667 1
< 0.1%
403211.411148352 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3471
Distinct (%)88.3%
Missing168
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean187901.34
Minimum169949.11
Maximum207141.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:09.242572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169949.11
5-th percentile178896.25
Q1185174.86
median187833.12
Q3191442.46
95-th percentile196372.27
Maximum207141.91
Range37192.8
Interquartile range (IQR)6267.6017

Descriptive statistics

Standard deviation5307.5824
Coefficient of variation (CV)0.028246644
Kurtosis0.03877017
Mean187901.34
Median Absolute Deviation (MAD)3401.6178
Skewness-0.043565289
Sum7.3901598 × 108
Variance28170431
MonotonicityNot monotonic
2024-04-17T21:16:09.365074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187924.572584588 7
 
0.2%
188569.679295001 6
 
0.1%
189580.523333838 5
 
0.1%
189588.088460621 4
 
0.1%
187974.731165553 4
 
0.1%
194637.031814051 4
 
0.1%
185812.717212483 4
 
0.1%
186009.733234211 4
 
0.1%
177251.755858413 4
 
0.1%
199346.013801105 4
 
0.1%
Other values (3461) 3887
94.8%
(Missing) 168
 
4.1%
ValueCountFrequency (%)
169949.11151151 1
< 0.1%
169966.609440153 1
< 0.1%
173802.129897555 1
< 0.1%
173906.940517312 2
< 0.1%
173914.718015169 1
< 0.1%
173936.752691561 1
< 0.1%
173942.787360397 1
< 0.1%
173947.316331144 1
< 0.1%
173951.800373379 2
< 0.1%
173961.914773076 1
< 0.1%
ValueCountFrequency (%)
207141.911104602 1
< 0.1%
206353.855586145 1
< 0.1%
206102.964822493 1
< 0.1%
206089.035101112 1
< 0.1%
205603.028698902 1
< 0.1%
205366.770002161 2
< 0.1%
205170.989861484 1
< 0.1%
205105.529392307 1
< 0.1%
204718.966111877 2
< 0.1%
204698.950058106 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
노래연습장업
4101 

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 4101
100.0%

Length

2024-04-17T21:16:09.465527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:09.544804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 4101
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
유통관련업
4101 

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 4101
100.0%

Length

2024-04-17T21:16:09.621533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:09.695907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 4101
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)1.4%
Missing2392
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean4.7126975
Minimum0
Maximum47
Zeros57
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:09.770503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q36
95-th percentile10
Maximum47
Range47
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1581958
Coefficient of variation (CV)0.67014608
Kurtosis41.364353
Mean4.7126975
Median Absolute Deviation (MAD)1
Skewness3.9661242
Sum8054
Variance9.9742005
MonotonicityNot monotonic
2024-04-17T21:16:09.859904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 465
 
11.3%
3 260
 
6.3%
4 250
 
6.1%
6 173
 
4.2%
1 161
 
3.9%
2 75
 
1.8%
7 71
 
1.7%
0 57
 
1.4%
8 52
 
1.3%
9 44
 
1.1%
Other values (14) 101
 
2.5%
(Missing) 2392
58.3%
ValueCountFrequency (%)
0 57
 
1.4%
1 161
 
3.9%
2 75
 
1.8%
3 260
6.3%
4 250
6.1%
5 465
11.3%
6 173
 
4.2%
7 71
 
1.7%
8 52
 
1.3%
9 44
 
1.1%
ValueCountFrequency (%)
47 2
 
< 0.1%
29 1
 
< 0.1%
24 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
19 1
 
< 0.1%
17 4
0.1%
16 2
 
< 0.1%
15 4
0.1%
14 6
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
3090 
주택가주변
452 
기타
 
260
유흥업소밀집지역
 
187
학교정화(상대)
 
77
Other values (2)
 
35

Length

Max length8
Median length4
Mean length4.2501829
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3090
75.3%
주택가주변 452
 
11.0%
기타 260
 
6.3%
유흥업소밀집지역 187
 
4.6%
학교정화(상대) 77
 
1.9%
아파트지역 34
 
0.8%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-17T21:16:09.960084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:16:10.055525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3090
75.3%
주택가주변 452
 
11.0%
기타 260
 
6.3%
유흥업소밀집지역 187
 
4.6%
학교정화(상대 77
 
1.9%
아파트지역 34
 
0.8%
학교정화(절대 1
 
< 0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct2594
Distinct (%)75.6%
Missing671
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean147.39803
Minimum0
Maximum1645.35
Zeros47
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:10.166733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66
Q1100.9
median132
Q3174.805
95-th percentile281.1135
Maximum1645.35
Range1645.35
Interquartile range (IQR)73.905

Descriptive statistics

Standard deviation77.806173
Coefficient of variation (CV)0.52786438
Kurtosis47.460544
Mean147.39803
Median Absolute Deviation (MAD)33.8
Skewness3.8597926
Sum505575.26
Variance6053.8006
MonotonicityNot monotonic
2024-04-17T21:16:10.275213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 47
 
1.1%
99.0 41
 
1.0%
132.0 24
 
0.6%
82.5 23
 
0.6%
165.0 19
 
0.5%
125.4 16
 
0.4%
92.4 15
 
0.4%
66.0 14
 
0.3%
115.5 13
 
0.3%
122.1 12
 
0.3%
Other values (2584) 3206
78.2%
(Missing) 671
 
16.4%
ValueCountFrequency (%)
0.0 47
1.1%
1.2 1
 
< 0.1%
11.05 1
 
< 0.1%
14.4 1
 
< 0.1%
17.48 1
 
< 0.1%
25.0 1
 
< 0.1%
26.0 1
 
< 0.1%
26.5 1
 
< 0.1%
33.06 1
 
< 0.1%
34.6 1
 
< 0.1%
ValueCountFrequency (%)
1645.35 1
< 0.1%
781.54 1
< 0.1%
760.22 2
< 0.1%
717.37 1
< 0.1%
687.61 1
< 0.1%
630.0 1
< 0.1%
626.76 1
< 0.1%
621.36 1
< 0.1%
612.86 1
< 0.1%
559.41 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct20
Distinct (%)1.2%
Missing2362
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean3.7797585
Minimum0
Maximum234
Zeros56
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:10.390048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum234
Range234
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.1018705
Coefficient of variation (CV)1.6143546
Kurtosis1168.9278
Mean3.7797585
Median Absolute Deviation (MAD)1
Skewness31.307183
Sum6573
Variance37.232824
MonotonicityNot monotonic
2024-04-17T21:16:10.496581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 498
 
12.1%
3 378
 
9.2%
5 297
 
7.2%
4 213
 
5.2%
1 79
 
1.9%
6 78
 
1.9%
0 56
 
1.4%
8 40
 
1.0%
7 38
 
0.9%
9 20
 
0.5%
Other values (10) 42
 
1.0%
(Missing) 2362
57.6%
ValueCountFrequency (%)
0 56
 
1.4%
1 79
 
1.9%
2 498
12.1%
3 378
9.2%
4 213
5.2%
5 297
7.2%
6 78
 
1.9%
7 38
 
0.9%
8 40
 
1.0%
9 20
 
0.5%
ValueCountFrequency (%)
234 1
 
< 0.1%
42 2
 
< 0.1%
23 1
 
< 0.1%
20 1
 
< 0.1%
15 7
0.2%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 4
 
0.1%
11 5
 
0.1%
10 17
0.4%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.5%
Missing2332
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1.0356133
Minimum0
Maximum10
Zeros71
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:10.579436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48783641
Coefficient of variation (CV)0.47106038
Kurtosis108.72639
Mean1.0356133
Median Absolute Deviation (MAD)0
Skewness7.7256026
Sum1832
Variance0.23798437
MonotonicityNot monotonic
2024-04-17T21:16:10.663412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1608
39.2%
2 71
 
1.7%
0 71
 
1.7%
3 11
 
0.3%
5 3
 
0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 2332
56.9%
ValueCountFrequency (%)
0 71
 
1.7%
1 1608
39.2%
2 71
 
1.7%
3 11
 
0.3%
4 1
 
< 0.1%
5 3
 
0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
6 2
 
< 0.1%
5 3
 
0.1%
4 1
 
< 0.1%
3 11
 
0.3%
2 71
 
1.7%
1 1608
39.2%
0 71
 
1.7%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
2692 
근린생활시설
1391 
문화시설
 
4
사무실
 
3
기타
 
2
Other values (8)
 
9

Length

Max length7
Median length4
Mean length4.6781273
Min length2

Unique

Unique7 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2692
65.6%
근린생활시설 1391
33.9%
문화시설 4
 
0.1%
사무실 3
 
0.1%
기타 2
 
< 0.1%
단독주택 2
 
< 0.1%
호텔 1
 
< 0.1%
환경위생시설 1
 
< 0.1%
위험물저장시설 1
 
< 0.1%
교육연구시설 1
 
< 0.1%
Other values (3) 3
 
0.1%

Length

2024-04-17T21:16:10.760576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2692
65.6%
근린생활시설 1391
33.9%
문화시설 4
 
0.1%
사무실 3
 
0.1%
기타 2
 
< 0.1%
단독주택 2
 
< 0.1%
호텔 1
 
< 0.1%
환경위생시설 1
 
< 0.1%
위험물저장시설 1
 
< 0.1%
교육연구시설 1
 
< 0.1%
Other values (3) 3
 
0.1%

통로너비
Real number (ℝ)

MISSING  SKEWED 

Distinct44
Distinct (%)5.8%
Missing3340
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean7.0306702
Minimum1
Maximum1570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:11.082901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.2
Q31.2
95-th percentile2
Maximum1570
Range1569
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation60.765723
Coefficient of variation (CV)8.6429489
Kurtosis578.0121
Mean7.0306702
Median Absolute Deviation (MAD)0.1
Skewness22.703149
Sum5350.34
Variance3692.4731
MonotonicityNot monotonic
2024-04-17T21:16:11.186564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1.2 369
 
9.0%
1.0 212
 
5.2%
1.5 57
 
1.4%
1.3 21
 
0.5%
1.6 20
 
0.5%
1.4 17
 
0.4%
2.0 6
 
0.1%
1.1 5
 
0.1%
120.0 4
 
0.1%
130.0 3
 
0.1%
Other values (34) 47
 
1.1%
(Missing) 3340
81.4%
ValueCountFrequency (%)
1.0 212
5.2%
1.1 5
 
0.1%
1.12 1
 
< 0.1%
1.16 1
 
< 0.1%
1.17 1
 
< 0.1%
1.2 369
9.0%
1.25 3
 
0.1%
1.26 2
 
< 0.1%
1.28 1
 
< 0.1%
1.3 21
 
0.5%
ValueCountFrequency (%)
1570.0 1
 
< 0.1%
173.0 1
 
< 0.1%
159.0 1
 
< 0.1%
155.0 1
 
< 0.1%
150.0 2
< 0.1%
134.0 1
 
< 0.1%
130.0 3
0.1%
127.0 3
0.1%
126.0 1
 
< 0.1%
125.0 2
< 0.1%

조명시설조도
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)13.2%
Missing3360
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean61.465317
Minimum30
Maximum1076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:11.321623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q139
median60
Q360
95-th percentile116
Maximum1076
Range1046
Interquartile range (IQR)21

Descriptive statistics

Standard deviation57.087301
Coefficient of variation (CV)0.92877257
Kurtosis157.05124
Mean61.465317
Median Absolute Deviation (MAD)12
Skewness10.541513
Sum45545.8
Variance3258.9599
MonotonicityNot monotonic
2024-04-17T21:16:11.431004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 307
 
7.5%
35.0 141
 
3.4%
40.0 47
 
1.1%
30.0 40
 
1.0%
50.0 22
 
0.5%
45.0 11
 
0.3%
100.0 10
 
0.2%
48.0 8
 
0.2%
80.0 8
 
0.2%
46.0 6
 
0.1%
Other values (88) 141
 
3.4%
(Missing) 3360
81.9%
ValueCountFrequency (%)
30.0 40
 
1.0%
34.0 1
 
< 0.1%
35.0 141
3.4%
36.0 1
 
< 0.1%
37.5 1
 
< 0.1%
38.0 1
 
< 0.1%
39.0 2
 
< 0.1%
40.0 47
 
1.1%
41.0 5
 
0.1%
42.0 4
 
0.1%
ValueCountFrequency (%)
1076.0 1
< 0.1%
673.0 1
< 0.1%
421.0 1
< 0.1%
400.0 1
< 0.1%
338.0 1
< 0.1%
295.0 2
< 0.1%
275.0 1
< 0.1%
250.0 1
< 0.1%
220.0 1
< 0.1%
202.0 1
< 0.1%

노래방실수
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)1.4%
Missing1066
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean7.6820428
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:11.541342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q38
95-th percentile18
Maximum70
Range69
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.3364757
Coefficient of variation (CV)0.69466884
Kurtosis24.850687
Mean7.6820428
Median Absolute Deviation (MAD)2
Skewness3.7983679
Sum23315
Variance28.477973
MonotonicityNot monotonic
2024-04-17T21:16:11.642342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 553
13.5%
6 466
11.4%
4 420
 
10.2%
7 388
 
9.5%
8 299
 
7.3%
9 178
 
4.3%
10 126
 
3.1%
3 103
 
2.5%
11 78
 
1.9%
12 57
 
1.4%
Other values (32) 367
 
8.9%
(Missing) 1066
26.0%
ValueCountFrequency (%)
1 32
 
0.8%
2 30
 
0.7%
3 103
 
2.5%
4 420
10.2%
5 553
13.5%
6 466
11.4%
7 388
9.5%
8 299
7.3%
9 178
 
4.3%
10 126
 
3.1%
ValueCountFrequency (%)
70 1
 
< 0.1%
68 1
 
< 0.1%
59 1
 
< 0.1%
57 1
 
< 0.1%
53 2
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
36 4
0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%

청소년실수
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)2.4%
Missing2414
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean4.8938945
Minimum0
Maximum70
Zeros73
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2024-04-17T21:16:11.746047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q35
95-th percentile20
Maximum70
Range70
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.0724939
Coefficient of variation (CV)1.4451668
Kurtosis16.215591
Mean4.8938945
Median Absolute Deviation (MAD)1
Skewness3.3332065
Sum8256
Variance50.02017
MonotonicityNot monotonic
2024-04-17T21:16:11.849584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 476
 
11.6%
2 423
 
10.3%
3 187
 
4.6%
4 83
 
2.0%
0 73
 
1.8%
5 51
 
1.2%
7 44
 
1.1%
8 43
 
1.0%
10 35
 
0.9%
6 32
 
0.8%
Other values (31) 240
 
5.9%
(Missing) 2414
58.9%
ValueCountFrequency (%)
0 73
 
1.8%
1 476
11.6%
2 423
10.3%
3 187
 
4.6%
4 83
 
2.0%
5 51
 
1.2%
6 32
 
0.8%
7 44
 
1.1%
8 43
 
1.0%
9 27
 
0.7%
ValueCountFrequency (%)
70 1
 
< 0.1%
68 1
 
< 0.1%
57 1
 
< 0.1%
55 1
 
< 0.1%
53 2
 
< 0.1%
40 1
 
< 0.1%
36 3
0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
33 5
0.1%

비상계단여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing938
Missing (%)22.9%
Memory size8.1 KiB
False
2531 
True
632 
(Missing)
938 
ValueCountFrequency (%)
False 2531
61.7%
True 632
 
15.4%
(Missing) 938
 
22.9%
2024-04-17T21:16:11.939179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing909
Missing (%)22.2%
Memory size8.1 KiB
False
2599 
True
593 
(Missing)
909 
ValueCountFrequency (%)
False 2599
63.4%
True 593
 
14.5%
(Missing) 909
 
22.2%
2024-04-17T21:16:12.007523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing988
Missing (%)24.1%
Memory size8.1 KiB
False
2158 
True
955 
(Missing)
988 
ValueCountFrequency (%)
False 2158
52.6%
True 955
23.3%
(Missing) 988
24.1%
2024-04-17T21:16:12.071687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing1788
Missing (%)43.6%
Memory size8.1 KiB
True
1587 
False
726 
(Missing)
1788 
ValueCountFrequency (%)
True 1587
38.7%
False 726
17.7%
(Missing) 1788
43.6%
2024-04-17T21:16:12.132800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing1099
Missing (%)26.8%
Memory size8.1 KiB
False
2151 
True
851 
(Missing)
1099 
ValueCountFrequency (%)
False 2151
52.5%
True 851
 
20.8%
(Missing) 1099
26.8%
2024-04-17T21:16:12.196281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing917
Missing (%)22.4%
Memory size8.1 KiB
False
2321 
True
863 
(Missing)
917 
ValueCountFrequency (%)
False 2321
56.6%
True 863
 
21.0%
(Missing) 917
 
22.4%
2024-04-17T21:16:12.269324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

제공게임물명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4100
Missing (%)> 99.9%
Memory size32.2 KiB
2024-04-17T21:16:12.374222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row전체이용가
ValueCountFrequency (%)
전체이용가 1
100.0%
2024-04-17T21:16:12.568741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
2993 
주거지역
311 
준주거지역
 
271
일반주거지역
 
210
일반상업지역
 
167
Other values (7)
 
149

Length

Max length6
Median length4
Mean length4.2696903
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2993
73.0%
주거지역 311
 
7.6%
준주거지역 271
 
6.6%
일반주거지역 210
 
5.1%
일반상업지역 167
 
4.1%
상업지역 108
 
2.6%
근린상업지역 26
 
0.6%
자연녹지지역 8
 
0.2%
중심상업지역 4
 
0.1%
일반공업지역 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2024-04-17T21:16:12.681754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2993
73.0%
주거지역 311
 
7.6%
준주거지역 271
 
6.6%
일반주거지역 210
 
5.1%
일반상업지역 167
 
4.1%
상업지역 108
 
2.6%
근린상업지역 26
 
0.6%
자연녹지지역 8
 
0.2%
중심상업지역 4
 
0.1%
일반공업지역 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4101
Missing (%)100.0%
Memory size36.2 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01노래연습장업03_09_01_P3250000CDFF324205200300000420030113<NA>3폐업3폐업20061130<NA><NA><NA>243-1131<NA>600044부산광역시 중구 남포동4가 28-2번지부산광역시 중구 자갈치로 74 (남포동4가)<NA>오아시스20061130172853I2018-08-31 23:59:59.0<NA>385245.210686179481.172255노래연습장업유통관련업<NA><NA><NA>231.23<NA>근린생활시설<NA><NA>8<NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12노래연습장업03_09_01_P3250000CDFF324205200300000520030327<NA>3폐업3폐업20090429<NA><NA><NA>467-3587<NA>600815부산광역시 중구 중앙동4가 55-6번지부산광역시 중구 중앙대로93번길 3 (중앙동4가)<NA>샤본20090504162404I2018-08-31 23:59:59.0<NA>385534.479524180422.917954노래연습장업유통관련업7기타<NA>88.462<NA>근린생활시설1.341.051NYYYYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
23노래연습장업03_09_01_P3250000CDFF324205200300000620030417<NA>3폐업3폐업20040901<NA><NA><NA>245-8214<NA>600023부산광역시 중구 동광동3가 21-1번지부산광역시 중구 백산길 18 (동광동3가)<NA>호심20040901144719I2018-08-31 23:59:59.0<NA>385501.481869180233.232971노래연습장업유통관련업3기타<NA>114.051<NA>근린생활시설1.340.03<NA>NYYNYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
34노래연습장업03_09_01_P3250000CDFF324205200300000720030702<NA>3폐업3폐업20050216<NA><NA><NA>242-8089<NA>600046부산광역시 중구 남포동6가 6번지<NA><NA>진양20050216174232I2018-08-31 23:59:59.0<NA><NA><NA>노래연습장업유통관련업6<NA><NA>121.68<NA>1근린생활시설1.244.05<NA>YYYNYN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45노래연습장업03_09_01_P3250000CDFF324205200300000820031215<NA>3폐업3폐업20200803<NA><NA><NA>253-6777<NA><NA>부산광역시 중구 부평동2가 22-3부산광역시 중구 중구로29번길 30-1 (부평동2가)48977도깨비노래연습장20200803163425U2020-08-05 02:40:00.0<NA>384681.781289179821.761426노래연습장업유통관련업5<NA><NA>130.812<NA>근린생활시설1.038.05<NA>YYY<NA>YY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56노래연습장업03_09_01_P3250000CDFF324205200600000120060405<NA>3폐업3폐업20071116<NA><NA><NA>256-3535<NA>600092부산광역시 중구 대청동2가 34-1번지부산광역시 중구 광복중앙로 28-1 (대청동2가)<NA>GIV 노래연습장20071116142528I2018-08-31 23:59:59.0<NA>385126.032162179976.116994노래연습장업유통관련업6학교정화(상대)<NA>206.8551근린생활시설<NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역<NA>
67노래연습장업03_09_01_P3250000CDFF324205200200000920020802<NA>3폐업3폐업20070227<NA><NA><NA>247-4896<NA>600060부산광역시 중구 신창동1가 36-6번지부산광역시 중구 광복중앙로33번길 7-2 (신창동1가)<NA>짱20070227174949I2018-08-31 23:59:59.0<NA>385020.56996179991.027477노래연습장업유통관련업2<NA><NA>41.51<NA><NA><NA><NA>4<NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78노래연습장업03_09_01_P3250000CDFF324205200200001220020624<NA>3폐업3폐업20040712<NA><NA><NA>246-9887<NA>600806부산광역시 중구 부평동2가 68-9번지부산광역시 중구 부평1길 39 (부평동2가)<NA>제일20040712170352I2018-08-31 23:59:59.0<NA>384635.943535179897.446834노래연습장업유통관련업6<NA><NA>170.4<NA>1근린생활시설<NA><NA>6<NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89노래연습장업03_09_01_P3250000CDFF324205200200001320020702<NA>3폐업3폐업20160831<NA><NA><NA>242-1388<NA><NA>부산광역시 중구 남포동2가 19-3번지부산광역시 중구 남포길 17-1 (남포동2가)48953드래곤노래연습장20160831143226I2018-08-31 23:59:59.0<NA>385108.519256179641.230504노래연습장업유통관련업4<NA><NA>112.4<NA>1근린생활시설<NA><NA>1211NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910노래연습장업03_09_01_P3250000CDFF324205200700000120070607<NA>3폐업3폐업20080502<NA><NA><NA><NA><NA>600044부산광역시 중구 남포동4가 8-1번지부산광역시 중구 자갈치로59번길 2 (남포동4가)<NA>흑진주 노래연습장20080506141014I2018-08-31 23:59:59.0<NA>385111.300376179512.615897노래연습장업유통관련업6<NA><NA>139.9551근린생활시설<NA><NA>4<NA>YYNNYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
40914092노래연습장업03_09_01_P3330000CDFF324205200300001620030516<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1509-6부산광역시 해운대구 달맞이길117번길 17-7 (중동)48117베스타20201217164226U2020-12-19 02:40:00.0<NA>398208.84303186841.666821노래연습장업유통관련업<NA><NA><NA>298.891<NA><NA><NA><NA>10<NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40924093노래연습장업03_09_01_P3330000CDFF324205199900003219990330<NA>4취소/말소/만료/정지/중지35직권말소20120810<NA><NA><NA>543-5891<NA><NA>부산광역시 해운대구 반송동 62-83번지부산광역시 해운대구 윗반송로51번길 161 (반송동)612800왕대포20120810155324I2018-08-31 23:59:59.0<NA>396310.261459194761.909229노래연습장업유통관련업<NA><NA><NA>63.653<NA><NA><NA><NA>52NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40934094노래연습장업03_09_01_P3330000CDFF324205200300002920031105<NA>4취소/말소/만료/정지/중지35직권말소20120809<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1463-3번지 원프라자 9층부산광역시 해운대구 세실로69번길 15 (좌동)612836보보스20120809100349I2018-08-31 23:59:59.0<NA>398172.0516187974.731166노래연습장업유통관련업<NA><NA><NA>262.71<NA><NA><NA><NA><NA>100NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40944095노래연습장업03_09_01_P3330000CDFF324205200300003020031113<NA>4취소/말소/만료/정지/중지35직권말소20110525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1463-3번지부산광역시 해운대구 세실로69번길 15 (좌동)<NA>갤럭시20110525165754I2018-08-31 23:59:59.0<NA>398172.0516187974.731166노래연습장업유통관련업10<NA><NA>262.7152근린생활시설<NA><NA><NA><NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역<NA>
40954096노래연습장업03_09_01_P3330000CDFF324205200300003420031213<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 송정동 438-6부산광역시 해운대구 송정광어골로 54 (송정동)48073디지털20201217164247U2020-12-19 02:40:00.0<NA>399989.333761188613.979968노래연습장업유통관련업5<NA><NA>207.631근린생활시설<NA><NA>7<NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역<NA>
40964097노래연습장업03_09_01_P3330000CDFF324205200300004220030421<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA>702-8889<NA><NA>부산광역시 해운대구 좌동 1465-1 4층부산광역시 해운대구 세실로69번길 11, 4층 (좌동)48106까멜리아20201217164335U2020-12-19 02:40:00.0<NA>398186.779312187949.897543노래연습장업유통관련업8유흥업소밀집지역<NA>219.3671<NA><NA><NA>6<NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역<NA>
40974098노래연습장업03_09_01_P3330000CDFF324205200400001420040806<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1465-4부산광역시 해운대구 세실로69번길 5 (좌동)48106레드20201217164357U2020-12-19 02:40:00.0<NA>398209.525949187911.687754노래연습장업유통관련업10유흥업소밀집지역<NA>191.98101근린생활시설<NA><NA>6<NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역<NA>
40984099노래연습장업03_09_01_P3330000CDFF324205200400001820041020<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1461-7부산광역시 해운대구 세실로 87 (좌동)48106원세라돈20201217164509U2020-12-19 02:40:00.0<NA>398174.624216188059.46199노래연습장업유통관련업11유흥업소밀집지역<NA>122.8691근린생활시설<NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역<NA>
40994100노래연습장업03_09_01_P3330000CDFF324205199200001119921222<NA>4취소/말소/만료/정지/중지35직권말소20040317<NA><NA><NA>784-2266<NA>612831부산광역시 해운대구 재송동 1101-8번지부산광역시 해운대구 해운대로153번길 20 (재송동)<NA>벌떼20081124162641I2018-08-31 23:59:59.0<NA>393281.146618189258.067954노래연습장업유통관련업1<NA><NA>130.12<NA>1<NA><NA><NA>12<NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41004101노래연습장업03_09_01_P3330000CDFF324205199600001719960906<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA>541-1010<NA><NA>부산광역시 해운대구 반송동 756-145부산광역시 해운대구 아랫반송로29번길 41 (반송동)48017친구20201217163733U2020-12-19 02:40:00.0<NA>395699.262193193841.419385노래연습장업유통관련업<NA><NA><NA>80.192<NA><NA><NA><NA>62NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>