Overview

Dataset statistics

Number of variables60
Number of observations4098
Missing cells102652
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

Description2021-01-04
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 (54.5%)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 3975 (97.0%) missing valuesMissing
폐업일자 has 1923 (46.9%) missing valuesMissing
재개업일자 has 4098 (100.0%) missing valuesMissing
소재지전화 has 1140 (27.8%) missing valuesMissing
소재지면적 has 4098 (100.0%) missing valuesMissing
소재지우편번호 has 3046 (74.3%) missing valuesMissing
도로명전체주소 has 329 (8.0%) missing valuesMissing
도로명우편번호 has 1789 (43.7%) missing valuesMissing
업태구분명 has 4098 (100.0%) missing valuesMissing
좌표정보(x) has 168 (4.1%) missing valuesMissing
좌표정보(y) has 168 (4.1%) missing valuesMissing
총층수 has 2389 (58.3%) missing valuesMissing
제작취급품목내용 has 4098 (100.0%) missing valuesMissing
시설면적 has 671 (16.4%) missing valuesMissing
지상층수 has 2359 (57.6%) missing valuesMissing
지하층수 has 2329 (56.8%) missing valuesMissing
통로너비 has 3337 (81.4%) missing valuesMissing
조명시설조도 has 3358 (81.9%) missing valuesMissing
노래방실수 has 1067 (26.0%) missing valuesMissing
청소년실수 has 2414 (58.9%) missing valuesMissing
비상계단여부 has 935 (22.8%) missing valuesMissing
비상구여부 has 906 (22.1%) missing valuesMissing
자동환기여부 has 985 (24.0%) missing valuesMissing
청소년실여부 has 1787 (43.6%) missing valuesMissing
특수조명여부 has 1096 (26.7%) missing valuesMissing
방음시설여부 has 914 (22.3%) missing valuesMissing
비디오재생기명 has 4098 (100.0%) missing valuesMissing
조명시설유무 has 4098 (100.0%) missing valuesMissing
음향시설여부 has 4098 (100.0%) missing valuesMissing
편의시설여부 has 4098 (100.0%) missing valuesMissing
소방시설여부 has 4098 (100.0%) missing valuesMissing
총게임기수 has 4098 (100.0%) missing valuesMissing
기존게임업외업종명 has 4098 (100.0%) missing valuesMissing
제공게임물명 has 4097 (> 99.9%) missing valuesMissing
공연장형태구분명 has 4098 (100.0%) missing valuesMissing
품목명 has 4098 (100.0%) missing valuesMissing
최초등록시점 has 4098 (100.0%) missing valuesMissing
Unnamed: 59 has 4098 (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 12:12:07.166175
Analysis finished2024-04-17 12:12:08.343906
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4098
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2049.5
Minimum1
Maximum4098
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:08.399202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile205.85
Q11025.25
median2049.5
Q33073.75
95-th percentile3893.15
Maximum4098
Range4097
Interquartile range (IQR)2048.5

Descriptive statistics

Standard deviation1183.135
Coefficient of variation (CV)0.57727984
Kurtosis-1.2
Mean2049.5
Median Absolute Deviation (MAD)1024.5
Skewness0
Sum8398851
Variance1399808.5
MonotonicityStrictly increasing
2024-04-17T21:12:08.498886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3075 1
 
< 0.1%
2725 1
 
< 0.1%
2726 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%
Other values (4088) 4088
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 (%)
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%
4091 1
< 0.1%
4090 1
< 0.1%
4089 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
노래연습장업
4098 

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 4098
100.0%

Length

2024-04-17T21:12:08.814413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:08.883256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 4098
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
03_09_01_P
4098 

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 4098
100.0%

Length

2024-04-17T21:12:08.957310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:09.032519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_09_01_p 4098
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328121
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:09.103429image/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 deviation38989.969
Coefficient of variation (CV)0.01171531
Kurtosis-0.8479766
Mean3328121
Median Absolute Deviation (MAD)30000
Skewness0.1152076
Sum1.363864 × 1010
Variance1.5202177 × 109
MonotonicityNot monotonic
2024-04-17T21:12:09.199734image/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 432
10.5%
3350000 367
9.0%
3320000 330
8.1%
3390000 325
7.9%
3340000 317
7.7%
3380000 256
6.2%
3310000 245
6.0%
3370000 235
5.7%
Other values (6) 562
13.7%
ValueCountFrequency (%)
3250000 125
 
3.1%
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
8.1%
3330000 432
10.5%
3340000 317
7.7%
ValueCountFrequency (%)
3400000 130
 
3.2%
3390000 325
7.9%
3380000 256
6.2%
3370000 235
5.7%
3360000 45
 
1.1%
3350000 367
9.0%
3340000 317
7.7%
3330000 432
10.5%
3320000 330
8.1%
3310000 245
6.0%
Distinct953
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2024-04-17T21:12:09.363292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters81960
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

Unique390 ?
Unique (%)9.5%

Sample

1st rowCDFF3242052003000004
2nd rowCDFF3242052003000005
3rd rowCDFF3242052003000006
4th rowCDFF3242052003000007
5th rowCDFF3242052003000008
ValueCountFrequency (%)
cdff3242052017000001 16
 
0.4%
cdff3242052016000002 15
 
0.4%
cdff3242052016000001 15
 
0.4%
cdff3242052014000001 15
 
0.4%
cdff3242052004000001 15
 
0.4%
cdff3242052002000001 15
 
0.4%
cdff3242051999000002 15
 
0.4%
cdff3242052001000001 14
 
0.3%
cdff3242052003000001 14
 
0.3%
cdff3242052015000001 14
 
0.3%
Other values (943) 3950
96.4%
2024-04-17T21:12:09.628389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27102
33.1%
2 12153
14.8%
F 8196
 
10.0%
3 5267
 
6.4%
4 5090
 
6.2%
5 4908
 
6.0%
9 4499
 
5.5%
1 4301
 
5.2%
C 4098
 
5.0%
D 4098
 
5.0%
Other values (3) 2248
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65568
80.0%
Uppercase Letter 16392
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27102
41.3%
2 12153
18.5%
3 5267
 
8.0%
4 5090
 
7.8%
5 4908
 
7.5%
9 4499
 
6.9%
1 4301
 
6.6%
7 791
 
1.2%
6 756
 
1.2%
8 701
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 8196
50.0%
C 4098
25.0%
D 4098
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65568
80.0%
Latin 16392
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27102
41.3%
2 12153
18.5%
3 5267
 
8.0%
4 5090
 
7.8%
5 4908
 
7.5%
9 4499
 
6.9%
1 4301
 
6.6%
7 791
 
1.2%
6 756
 
1.2%
8 701
 
1.1%
Latin
ValueCountFrequency (%)
F 8196
50.0%
C 4098
25.0%
D 4098
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27102
33.1%
2 12153
14.8%
F 8196
 
10.0%
3 5267
 
6.4%
4 5090
 
6.2%
5 4908
 
6.0%
9 4499
 
5.5%
1 4301
 
5.2%
C 4098
 
5.0%
D 4098
 
5.0%
Other values (3) 2248
 
2.7%

인허가일자
Real number (ℝ)

Distinct2550
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20015201
Minimum19000101
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:09.749547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000101
5-th percentile19931109
Q119971018
median20010120
Q320040402
95-th percentile20160123
Maximum20201230
Range1201129
Interquartile range (IQR)69383.5

Descriptive statistics

Standard deviation63930.563
Coefficient of variation (CV)0.0031941005
Kurtosis15.714335
Mean20015201
Median Absolute Deviation (MAD)30683
Skewness-0.086296113
Sum8.2022293 × 1010
Variance4.0871169 × 109
MonotonicityNot monotonic
2024-04-17T21:12:09.864508image/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 (2540) 3817
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 (%)
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%
20200611 1
< 0.1%
20200507 1
< 0.1%
20200421 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)92.7%
Missing3975
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean20097938
Minimum19990611
Maximum20201116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:09.979371image/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
2024-04-17T21:12:10.090666image/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) 3975
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%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
3
2042 
1
1738 
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 2042
49.8%
1 1738
42.4%
4 317
 
7.7%
2 1
 
< 0.1%

Length

2024-04-17T21:12:10.193386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:10.292882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2042
49.8%
1 1738
42.4%
4 317
 
7.7%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
폐업
2042 
영업/정상
1738 
취소/말소/만료/정지/중지
317 
휴업
 
1

Length

Max length14
Median length5
Mean length4.2005857
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2042
49.8%
영업/정상 1738
42.4%
취소/말소/만료/정지/중지 317
 
7.7%
휴업 1
 
< 0.1%

Length

2024-04-17T21:12:10.388236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:10.490695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2042
49.8%
영업/정상 1738
42.4%
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%
Mean9.568082
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:10.564506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile31
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.3371345
Coefficient of variation (CV)0.87134856
Kurtosis2.3203209
Mean9.568082
Median Absolute Deviation (MAD)10
Skewness1.55778
Sum39210
Variance69.507812
MonotonicityNot monotonic
2024-04-17T21:12:10.644266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 2041
49.8%
13 1738
42.4%
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 2041
49.8%
13 1738
42.4%
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 1738
42.4%
3 2041
49.8%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
폐업
2041 
영업중
1738 
직권말소
 
169
등록취소
 
102
허가취소
 
30
Other values (4)
 
18

Length

Max length5
Median length4
Mean length2.579551
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2041
49.8%
영업중 1738
42.4%
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

2024-04-17T21:12:10.759219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:10.857537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2041
49.8%
영업중 1738
42.4%
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 

Distinct1618
Distinct (%)74.4%
Missing1923
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean20109729
Minimum19980817
Maximum20201228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:10.969336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980817
5-th percentile20010817
Q120061063
median20110114
Q320161123
95-th percentile20200601
Maximum20201228
Range220411
Interquartile range (IQR)100060

Descriptive statistics

Standard deviation59401.843
Coefficient of variation (CV)0.0029538858
Kurtosis-1.1338872
Mean20109729
Median Absolute Deviation (MAD)50006
Skewness-0.049855152
Sum4.3738661 × 1010
Variance3.528579 × 109
MonotonicityNot monotonic
2024-04-17T21:12:11.075222image/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%
20140703 8
 
0.2%
20100219 8
 
0.2%
20140325 7
 
0.2%
20000214 7
 
0.2%
20151228 7
 
0.2%
20170530 7
 
0.2%
20130822 6
 
0.1%
Other values (1608) 2064
50.4%
(Missing) 1923
46.9%
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 (%)
20201228 1
 
< 0.1%
20201217 21
0.5%
20201215 1
 
< 0.1%
20201210 1
 
< 0.1%
20201208 1
 
< 0.1%
20201204 2
 
< 0.1%
20201203 2
 
< 0.1%
20201124 1
 
< 0.1%
20201120 2
 
< 0.1%
20201119 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
<NA>
4096 
20120827
 
1
20091029
 
1

Length

Max length8
Median length4
Mean length4.0019522
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> 4096
> 99.9%
20120827 1
 
< 0.1%
20091029 1
 
< 0.1%

Length

2024-04-17T21:12:11.184701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:11.271387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4096
> 99.9%
20120827 1
 
< 0.1%
20091029 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
<NA>
4096 
20150824
 
1
20091104
 
1

Length

Max length8
Median length4
Mean length4.0019522
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> 4096
> 99.9%
20150824 1
 
< 0.1%
20091104 1
 
< 0.1%

Length

2024-04-17T21:12:11.362899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:11.449657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4096
> 99.9%
20150824 1
 
< 0.1%
20091104 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

소재지전화
Text

MISSING 

Distinct2874
Distinct (%)97.2%
Missing1140
Missing (%)27.8%
Memory size32.1 KiB
2024-04-17T21:12:11.611379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.6859364
Min length1

Characters and Unicode

Total characters25693
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

Unique2818 ?
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%
816-1032 2
 
0.1%
051-502-9933 2
 
0.1%
522-6761 2
 
0.1%
051-727-2008 2
 
0.1%
246-6251,245-4951 2
 
0.1%
051)517-8981 2
 
0.1%
051-808-0870 2
 
0.1%
261-6766 2
 
0.1%
Other values (2864) 2910
98.3%
2024-04-17T21:12:11.909459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3238
12.6%
- 3232
12.6%
2 2471
9.6%
0 2469
9.6%
1 2465
9.6%
3 2361
9.2%
8 2134
8.3%
6 1988
7.7%
7 1898
7.4%
4 1776
6.9%
Other values (5) 1661
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22183
86.3%
Dash Punctuation 3232
 
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 3238
14.6%
2 2471
11.1%
0 2469
11.1%
1 2465
11.1%
3 2361
10.6%
8 2134
9.6%
6 1988
9.0%
7 1898
8.6%
4 1776
8.0%
9 1383
6.2%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
' 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 3232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3238
12.6%
- 3232
12.6%
2 2471
9.6%
0 2469
9.6%
1 2465
9.6%
3 2361
9.2%
8 2134
8.3%
6 1988
7.7%
7 1898
7.4%
4 1776
6.9%
Other values (5) 1661
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3238
12.6%
- 3232
12.6%
2 2471
9.6%
0 2469
9.6%
1 2465
9.6%
3 2361
9.2%
8 2134
8.3%
6 1988
7.7%
7 1898
7.4%
4 1776
6.9%
Other values (5) 1661
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)32.4%
Missing3046
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean610410.09
Minimum600013
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:12.023979image/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
2024-04-17T21:12:12.138526image/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
 
20.9%
(Missing) 3046
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%
Distinct3829
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2024-04-17T21:12:12.392676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length22.765007
Min length7

Characters and Unicode

Total characters93291
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

Unique3584 ?
Unique (%)87.5%

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 4096
23.5%
부산진구 573
 
3.3%
동래구 454
 
2.6%
해운대구 432
 
2.5%
금정구 367
 
2.1%
북구 330
 
1.9%
사상구 325
 
1.9%
사하구 317
 
1.8%
지하1층 274
 
1.6%
수영구 257
 
1.5%
Other values (3975) 10020
57.4%
2024-04-17T21:12:12.774506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13348
 
14.3%
5016
 
5.4%
4928
 
5.3%
4769
 
5.1%
1 4398
 
4.7%
4192
 
4.5%
4136
 
4.4%
4131
 
4.4%
4099
 
4.4%
4096
 
4.4%
Other values (271) 40178
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55682
59.7%
Decimal Number 19737
 
21.2%
Space Separator 13348
 
14.3%
Dash Punctuation 3927
 
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 (%)
5016
 
9.0%
4928
 
8.9%
4769
 
8.6%
4192
 
7.5%
4136
 
7.4%
4131
 
7.4%
4099
 
7.4%
4096
 
7.4%
3757
 
6.7%
744
 
1.3%
Other values (241) 15814
28.4%
Decimal Number
ValueCountFrequency (%)
1 4398
22.3%
2 2856
14.5%
3 2188
11.1%
4 1997
10.1%
5 1662
 
8.4%
6 1451
 
7.4%
0 1446
 
7.3%
7 1276
 
6.5%
8 1271
 
6.4%
9 1192
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
38.1%
A 4
19.0%
D 2
 
9.5%
C 2
 
9.5%
S 2
 
9.5%
G 1
 
4.8%
K 1
 
4.8%
N 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 19
61.3%
. 7
 
22.6%
/ 3
 
9.7%
& 1
 
3.2%
@ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
13348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3927
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55682
59.7%
Common 37585
40.3%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5016
 
9.0%
4928
 
8.9%
4769
 
8.6%
4192
 
7.5%
4136
 
7.4%
4131
 
7.4%
4099
 
7.4%
4096
 
7.4%
3757
 
6.7%
744
 
1.3%
Other values (241) 15814
28.4%
Common
ValueCountFrequency (%)
13348
35.5%
1 4398
 
11.7%
- 3927
 
10.4%
2 2856
 
7.6%
3 2188
 
5.8%
4 1997
 
5.3%
5 1662
 
4.4%
6 1451
 
3.9%
0 1446
 
3.8%
7 1276
 
3.4%
Other values (10) 3036
 
8.1%
Latin
ValueCountFrequency (%)
B 8
33.3%
A 4
16.7%
D 2
 
8.3%
C 2
 
8.3%
S 2
 
8.3%
2
 
8.3%
G 1
 
4.2%
K 1
 
4.2%
N 1
 
4.2%
g 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55682
59.7%
ASCII 37607
40.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13348
35.5%
1 4398
 
11.7%
- 3927
 
10.4%
2 2856
 
7.6%
3 2188
 
5.8%
4 1997
 
5.3%
5 1662
 
4.4%
6 1451
 
3.9%
0 1446
 
3.8%
7 1276
 
3.4%
Other values (19) 3058
 
8.1%
Hangul
ValueCountFrequency (%)
5016
 
9.0%
4928
 
8.9%
4769
 
8.6%
4192
 
7.5%
4136
 
7.4%
4131
 
7.4%
4099
 
7.4%
4096
 
7.4%
3757
 
6.7%
744
 
1.3%
Other values (241) 15814
28.4%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명전체주소
Text

MISSING 

Distinct3649
Distinct (%)96.8%
Missing329
Missing (%)8.0%
Memory size32.1 KiB
2024-04-17T21:12:13.073091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length27.048289
Min length18

Characters and Unicode

Total characters101945
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

Unique3539 ?
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 3769
 
18.9%
부산진구 526
 
2.6%
동래구 440
 
2.2%
해운대구 419
 
2.1%
지하1층 387
 
1.9%
금정구 359
 
1.8%
사상구 312
 
1.6%
북구 258
 
1.3%
수영구 251
 
1.3%
남구 245
 
1.2%
Other values (2383) 12991
65.1%
2024-04-17T21:12:13.480234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17313
 
17.0%
4669
 
4.6%
4622
 
4.5%
4607
 
4.5%
4032
 
4.0%
3904
 
3.8%
3897
 
3.8%
3769
 
3.7%
) 3689
 
3.6%
( 3689
 
3.6%
Other values (327) 47754
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61227
60.1%
Space Separator 17313
 
17.0%
Decimal Number 14391
 
14.1%
Close Punctuation 3689
 
3.6%
Open Punctuation 3689
 
3.6%
Other Punctuation 1061
 
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 (%)
4669
 
7.6%
4622
 
7.5%
4607
 
7.5%
4032
 
6.6%
3904
 
6.4%
3897
 
6.4%
3769
 
6.2%
3639
 
5.9%
1766
 
2.9%
1685
 
2.8%
Other values (306) 24637
40.2%
Decimal Number
ValueCountFrequency (%)
1 3232
22.5%
2 2150
14.9%
3 1603
11.1%
4 1277
 
8.9%
5 1197
 
8.3%
6 1093
 
7.6%
7 1032
 
7.2%
9 950
 
6.6%
0 942
 
6.5%
8 915
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
A 3
25.0%
K 2
 
16.7%
S 1
 
8.3%
Space Separator
ValueCountFrequency (%)
17313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3689
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3689
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1061
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 555
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61227
60.1%
Common 40704
39.9%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4669
 
7.6%
4622
 
7.5%
4607
 
7.5%
4032
 
6.6%
3904
 
6.4%
3897
 
6.4%
3769
 
6.2%
3639
 
5.9%
1766
 
2.9%
1685
 
2.8%
Other values (306) 24637
40.2%
Common
ValueCountFrequency (%)
17313
42.5%
) 3689
 
9.1%
( 3689
 
9.1%
1 3232
 
7.9%
2 2150
 
5.3%
3 1603
 
3.9%
4 1277
 
3.1%
5 1197
 
2.9%
6 1093
 
2.7%
, 1061
 
2.6%
Other values (6) 4400
 
10.8%
Latin
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
K 2
 
14.3%
2
 
14.3%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61227
60.1%
ASCII 40716
39.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17313
42.5%
) 3689
 
9.1%
( 3689
 
9.1%
1 3232
 
7.9%
2 2150
 
5.3%
3 1603
 
3.9%
4 1277
 
3.1%
5 1197
 
2.9%
6 1093
 
2.7%
, 1061
 
2.6%
Other values (10) 4412
 
10.8%
Hangul
ValueCountFrequency (%)
4669
 
7.6%
4622
 
7.5%
4607
 
7.5%
4032
 
6.6%
3904
 
6.4%
3897
 
6.4%
3769
 
6.2%
3639
 
5.9%
1766
 
2.9%
1685
 
2.8%
Other values (306) 24637
40.2%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct875
Distinct (%)37.9%
Missing1789
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean113360.31
Minimum46004
Maximum619951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:13.589944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46291
Q147006
median47891
Q348798
95-th percentile612816.2
Maximum619951
Range573947
Interquartile range (IQR)1792

Descriptive statistics

Standard deviation180766.36
Coefficient of variation (CV)1.5946178
Kurtosis3.7288235
Mean113360.31
Median Absolute Deviation (MAD)885
Skewness2.3925866
Sum2.6174895 × 108
Variance3.2676478 × 1010
MonotonicityNot monotonic
2024-04-17T21:12:13.692068image/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 23
 
0.6%
48953 22
 
0.5%
48280 21
 
0.5%
46576 21
 
0.5%
47006 20
 
0.5%
47551 20
 
0.5%
46061 19
 
0.5%
48498 19
 
0.5%
Other values (865) 2091
51.0%
(Missing) 1789
43.7%
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%
Distinct2671
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2024-04-17T21:12:13.910680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length6.9814544
Min length1

Characters and Unicode

Total characters28610
Distinct characters707
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

Unique2051 ?
Unique (%)50.0%

Sample

1st row오아시스
2nd row샤본
3rd row호심
4th row진양
5th row도깨비노래연습장
ValueCountFrequency (%)
노래연습장 1024
 
19.3%
동전노래연습장 34
 
0.6%
궁전노래연습장 31
 
0.6%
궁전 27
 
0.5%
코인노래연습장 26
 
0.5%
스타노래연습장 24
 
0.5%
팡팡노래연습장 21
 
0.4%
락휴 20
 
0.4%
앵콜 18
 
0.3%
스타 17
 
0.3%
Other values (2474) 4067
76.6%
2024-04-17T21:12:14.266054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3241
 
11.3%
3218
 
11.2%
3206
 
11.2%
3193
 
11.2%
3163
 
11.1%
1212
 
4.2%
368
 
1.3%
291
 
1.0%
257
 
0.9%
205
 
0.7%
Other values (697) 10256
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26649
93.1%
Space Separator 1212
 
4.2%
Uppercase Letter 410
 
1.4%
Decimal Number 203
 
0.7%
Lowercase Letter 42
 
0.1%
Open Punctuation 34
 
0.1%
Close Punctuation 34
 
0.1%
Other Punctuation 15
 
0.1%
Dash Punctuation 9
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3241
 
12.2%
3218
 
12.1%
3206
 
12.0%
3193
 
12.0%
3163
 
11.9%
368
 
1.4%
291
 
1.1%
257
 
1.0%
205
 
0.8%
186
 
0.7%
Other values (633) 9321
35.0%
Uppercase Letter
ValueCountFrequency (%)
O 49
 
12.0%
K 47
 
11.5%
S 39
 
9.5%
M 27
 
6.6%
P 26
 
6.3%
B 24
 
5.9%
I 20
 
4.9%
V 20
 
4.9%
A 18
 
4.4%
C 16
 
3.9%
Other values (16) 124
30.2%
Lowercase Letter
ValueCountFrequency (%)
o 9
21.4%
e 4
9.5%
t 3
 
7.1%
n 3
 
7.1%
g 3
 
7.1%
i 3
 
7.1%
d 2
 
4.8%
h 2
 
4.8%
k 2
 
4.8%
s 2
 
4.8%
Other values (9) 9
21.4%
Decimal Number
ValueCountFrequency (%)
2 91
44.8%
1 36
 
17.7%
0 30
 
14.8%
3 13
 
6.4%
8 9
 
4.4%
5 8
 
3.9%
7 7
 
3.4%
4 4
 
2.0%
6 4
 
2.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 10
66.7%
& 3
 
20.0%
' 2
 
13.3%
Space Separator
ValueCountFrequency (%)
1212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26648
93.1%
Common 1508
 
5.3%
Latin 453
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3241
 
12.2%
3218
 
12.1%
3206
 
12.0%
3193
 
12.0%
3163
 
11.9%
368
 
1.4%
291
 
1.1%
257
 
1.0%
205
 
0.8%
186
 
0.7%
Other values (632) 9320
35.0%
Latin
ValueCountFrequency (%)
O 49
 
10.8%
K 47
 
10.4%
S 39
 
8.6%
M 27
 
6.0%
P 26
 
5.7%
B 24
 
5.3%
I 20
 
4.4%
V 20
 
4.4%
A 18
 
4.0%
C 16
 
3.5%
Other values (36) 167
36.9%
Common
ValueCountFrequency (%)
1212
80.4%
2 91
 
6.0%
1 36
 
2.4%
( 34
 
2.3%
) 34
 
2.3%
0 30
 
2.0%
3 13
 
0.9%
. 10
 
0.7%
- 9
 
0.6%
8 9
 
0.6%
Other values (8) 30
 
2.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26648
93.1%
ASCII 1960
 
6.9%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3241
 
12.2%
3218
 
12.1%
3206
 
12.0%
3193
 
12.0%
3163
 
11.9%
368
 
1.4%
291
 
1.1%
257
 
1.0%
205
 
0.8%
186
 
0.7%
Other values (632) 9320
35.0%
ASCII
ValueCountFrequency (%)
1212
61.8%
2 91
 
4.6%
O 49
 
2.5%
K 47
 
2.4%
S 39
 
2.0%
1 36
 
1.8%
( 34
 
1.7%
) 34
 
1.7%
0 30
 
1.5%
M 27
 
1.4%
Other values (53) 361
 
18.4%
Number Forms
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct3931
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0137633 × 1013
Minimum2.0021018 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:14.383202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040114 × 1013
Q12.0091016 × 1013
median2.0150504 × 1013
Q32.0181105 × 1013
95-th percentile2.0200916 × 1013
Maximum2.0201231 × 1013
Range1.8021301 × 1011
Interquartile range (IQR)9.0089509 × 1010

Descriptive statistics

Standard deviation5.2159575 × 1010
Coefficient of variation (CV)0.0025901543
Kurtosis-0.89740816
Mean2.0137633 × 1013
Median Absolute Deviation (MAD)4.012196 × 1010
Skewness-0.52020324
Sum8.2524019 × 1016
Variance2.7206213 × 1021
MonotonicityNot monotonic
2024-04-17T21:12:14.721409image/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%
20200102095703 1
 
< 0.1%
20031128155352 1
 
< 0.1%
20150303115526 1
 
< 0.1%
20030114154112 1
 
< 0.1%
20070614105859 1
 
< 0.1%
20150305181515 1
 
< 0.1%
Other values (3921) 3921
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 (%)
20201231130620 1
< 0.1%
20201230103102 1
< 0.1%
20201229154005 1
< 0.1%
20201229112504 1
< 0.1%
20201228142806 1
< 0.1%
20201224094133 1
< 0.1%
20201221093605 1
< 0.1%
20201217164726 1
< 0.1%
20201217164657 1
< 0.1%
20201217164636 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
I
3074 
U
1024 

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 3074
75.0%
U 1024
 
25.0%

Length

2024-04-17T21:12:14.823838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:14.910176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3074
75.0%
u 1024
 
25.0%
Distinct456
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T21:12:14.999042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:12:15.106247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3470
Distinct (%)88.3%
Missing168
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean388393.16
Minimum366799.22
Maximum406982.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:15.214023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366799.22
5-th percentile379878.2
Q1384406.75
median388695.28
Q3391492.89
95-th percentile398216.23
Maximum406982.05
Range40182.836
Interquartile range (IQR)7086.1334

Descriptive statistics

Standard deviation5565.8994
Coefficient of variation (CV)0.01433058
Kurtosis0.33559852
Mean388393.16
Median Absolute Deviation (MAD)3422.7047
Skewness0.13039097
Sum1.5263851 × 109
Variance30979237
MonotonicityNot monotonic
2024-04-17T21:12:15.322692image/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%
398377.77044139 4
 
0.1%
383005.236517068 4
 
0.1%
389878.534606976 4
 
0.1%
394388.109636098 4
 
0.1%
387483.085509767 4
 
0.1%
387735.745972761 4
 
0.1%
398172.05159959 4
 
0.1%
Other values (3460) 3884
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 

Distinct3470
Distinct (%)88.3%
Missing168
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean187901.88
Minimum169949.11
Maximum207141.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:15.435180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169949.11
5-th percentile178896.13
Q1185173.07
median187838.04
Q3191444.65
95-th percentile196373.63
Maximum207141.91
Range37192.8
Interquartile range (IQR)6271.5823

Descriptive statistics

Standard deviation5309.5206
Coefficient of variation (CV)0.028256878
Kurtosis0.03666626
Mean187901.88
Median Absolute Deviation (MAD)3405.0575
Skewness-0.043844742
Sum7.384544 × 108
Variance28191009
MonotonicityNot monotonic
2024-04-17T21:12:15.554418image/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%
187628.481757803 4
 
0.1%
194637.031814051 4
 
0.1%
189588.088460621 4
 
0.1%
186096.249639089 4
 
0.1%
185812.717212483 4
 
0.1%
185988.250744692 4
 
0.1%
187974.731165553 4
 
0.1%
Other values (3460) 3884
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 size32.1 KiB
노래연습장업
4098 

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 4098
100.0%

Length

2024-04-17T21:12:15.652563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:15.724777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 4098
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
유통관련업
4098 

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 4098
100.0%

Length

2024-04-17T21:12:15.797428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:15.875522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 4098
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)1.4%
Missing2389
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean4.7126975
Minimum0
Maximum47
Zeros57
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:15.967966image/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
2024-04-17T21:12:16.078560image/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) 2389
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 size32.1 KiB
<NA>
3087 
주택가주변
452 
기타
 
260
유흥업소밀집지역
 
187
학교정화(상대)
 
77
Other values (2)
 
35

Length

Max length8
Median length4
Mean length4.250366
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> 3087
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

2024-04-17T21:12:16.190718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:12:16.286034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
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 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct2591
Distinct (%)75.6%
Missing671
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean147.39535
Minimum0
Maximum1645.35
Zeros47
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:16.391103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66
Q1100.9
median132
Q3174.71
95-th percentile281.199
Maximum1645.35
Range1645.35
Interquartile range (IQR)73.81

Descriptive statistics

Standard deviation77.827786
Coefficient of variation (CV)0.52802062
Kurtosis47.449094
Mean147.39535
Median Absolute Deviation (MAD)33.8
Skewness3.8600672
Sum505123.88
Variance6057.1643
MonotonicityNot monotonic
2024-04-17T21:12:16.496150image/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 (2581) 3203
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%
Missing2359
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean3.7797585
Minimum0
Maximum234
Zeros56
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:16.586644image/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
2024-04-17T21:12:16.674027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 498
 
12.2%
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) 2359
57.6%
ValueCountFrequency (%)
0 56
 
1.4%
1 79
 
1.9%
2 498
12.2%
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%
Missing2329
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean1.0356133
Minimum0
Maximum10
Zeros71
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:16.756849image/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
2024-04-17T21:12:16.844409image/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) 2329
56.8%
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 size32.1 KiB
<NA>
2689 
근린생활시설
1391 
문화시설
 
4
사무실
 
3
기타
 
2
Other values (8)
 
9

Length

Max length7
Median length4
Mean length4.6786237
Min length2

Unique

Unique7 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2689
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

2024-04-17T21:12:16.952142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2689
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%
Missing3337
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean7.0306702
Minimum1
Maximum1570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:17.046646image/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
2024-04-17T21:12:17.158269image/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) 3337
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 

Distinct97
Distinct (%)13.1%
Missing3358
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean60.094324
Minimum30
Maximum673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:17.268419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q138.75
median60
Q360
95-th percentile115.05
Maximum673
Range643
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation43.228298
Coefficient of variation (CV)0.71934079
Kurtosis71.469868
Mean60.094324
Median Absolute Deviation (MAD)12
Skewness6.8667046
Sum44469.8
Variance1868.6858
MonotonicityNot monotonic
2024-04-17T21:12:17.377147image/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 (87) 140
 
3.4%
(Missing) 3358
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 (%)
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%
200.0 1
< 0.1%

노래방실수
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)1.4%
Missing1067
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean7.6829429
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:17.486952image/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 deviation5.3395068
Coefficient of variation (CV)0.69498197
Kurtosis24.822008
Mean7.6829429
Median Absolute Deviation (MAD)2
Skewness3.7959634
Sum23287
Variance28.510333
MonotonicityNot monotonic
2024-04-17T21:12:17.590009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 552
13.5%
6 465
11.3%
4 419
 
10.2%
7 388
 
9.5%
8 299
 
7.3%
9 178
 
4.3%
10 125
 
3.1%
3 102
 
2.5%
11 78
 
1.9%
12 58
 
1.4%
Other values (32) 367
 
9.0%
(Missing) 1067
26.0%
ValueCountFrequency (%)
1 33
 
0.8%
2 30
 
0.7%
3 102
 
2.5%
4 419
10.2%
5 552
13.5%
6 465
11.3%
7 388
9.5%
8 299
7.3%
9 178
 
4.3%
10 125
 
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%
Mean4.8925178
Minimum0
Maximum70
Zeros73
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2024-04-17T21:12:17.704236image/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 deviation7.0770123
Coefficient of variation (CV)1.446497
Kurtosis16.203221
Mean4.8925178
Median Absolute Deviation (MAD)1
Skewness3.3332211
Sum8239
Variance50.084103
MonotonicityNot monotonic
2024-04-17T21:12:17.807171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 475
 
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 34
 
0.8%
6 31
 
0.8%
Other values (31) 240
 
5.9%
(Missing) 2414
58.9%
ValueCountFrequency (%)
0 73
 
1.8%
1 475
11.6%
2 423
10.3%
3 187
 
4.6%
4 83
 
2.0%
5 51
 
1.2%
6 31
 
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%
Missing935
Missing (%)22.8%
Memory size8.1 KiB
False
2531 
True
632 
(Missing)
935 
ValueCountFrequency (%)
False 2531
61.8%
True 632
 
15.4%
(Missing) 935
 
22.8%
2024-04-17T21:12:17.896317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing906
Missing (%)22.1%
Memory size8.1 KiB
False
2599 
True
593 
(Missing)
906 
ValueCountFrequency (%)
False 2599
63.4%
True 593
 
14.5%
(Missing) 906
 
22.1%
2024-04-17T21:12:17.961703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing985
Missing (%)24.0%
Memory size8.1 KiB
False
2158 
True
955 
(Missing)
985 
ValueCountFrequency (%)
False 2158
52.7%
True 955
23.3%
(Missing) 985
24.0%
2024-04-17T21:12:18.024394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing1787
Missing (%)43.6%
Memory size8.1 KiB
True
1585 
False
726 
(Missing)
1787 
ValueCountFrequency (%)
True 1585
38.7%
False 726
17.7%
(Missing) 1787
43.6%
2024-04-17T21:12:18.084233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing1096
Missing (%)26.7%
Memory size8.1 KiB
False
2151 
True
851 
(Missing)
1096 
ValueCountFrequency (%)
False 2151
52.5%
True 851
 
20.8%
(Missing) 1096
26.7%
2024-04-17T21:12:18.147735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing914
Missing (%)22.3%
Memory size8.1 KiB
False
2321 
True
863 
(Missing)
914 
ValueCountFrequency (%)
False 2321
56.6%
True 863
 
21.1%
(Missing) 914
 
22.3%
2024-04-17T21:12:18.213405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

제공게임물명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4097
Missing (%)> 99.9%
Memory size32.1 KiB
2024-04-17T21:12:18.295328image/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%
2024-04-17T21:12:18.480860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4098
Missing (%)100.0%
Memory size36.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
<NA>
2990 
주거지역
311 
준주거지역
 
271
일반주거지역
 
210
일반상업지역
 
167
Other values (7)
 
149

Length

Max length6
Median length4
Mean length4.2698878
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> 2990
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

2024-04-17T21:12:18.587216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2990
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 

Missing4098
Missing (%)100.0%
Memory size36.1 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>20070227174949I2018-08-31 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
40884089노래연습장업03_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>
40894090노래연습장업03_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>
40904091노래연습장업03_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>
40914092노래연습장업03_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>
40924093노래연습장업03_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>
40934094노래연습장업03_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>
40944095노래연습장업03_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>
40954096노래연습장업03_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>
40964097노래연습장업03_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>
40974098노래연습장업03_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>