Overview

Dataset statistics

Number of variables60
Number of observations179
Missing cells5325
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.5 KiB
Average record size in memory523.7 B

Variable types

Numeric13
Categorical15
Text5
Unsupported26
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123059

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (86.4%)Imbalance
상세영업상태코드 is highly imbalanced (53.1%)Imbalance
상세영업상태명 is highly imbalanced (53.1%)Imbalance
데이터갱신구분 is highly imbalanced (71.2%)Imbalance
주변환경명 is highly imbalanced (58.4%)Imbalance
지하층수 is highly imbalanced (66.4%)Imbalance
지역구분명 is highly imbalanced (61.3%)Imbalance
폐업일자 has 34 (19.0%) missing valuesMissing
휴업시작일자 has 179 (100.0%) missing valuesMissing
휴업종료일자 has 179 (100.0%) missing valuesMissing
재개업일자 has 179 (100.0%) missing valuesMissing
소재지전화 has 46 (25.7%) missing valuesMissing
소재지면적 has 179 (100.0%) missing valuesMissing
소재지우편번호 has 85 (47.5%) missing valuesMissing
도로명전체주소 has 5 (2.8%) missing valuesMissing
도로명우편번호 has 127 (70.9%) missing valuesMissing
업태구분명 has 179 (100.0%) missing valuesMissing
총층수 has 113 (63.1%) missing valuesMissing
제작취급품목내용 has 179 (100.0%) missing valuesMissing
시설면적 has 43 (24.0%) missing valuesMissing
지상층수 has 71 (39.7%) missing valuesMissing
통로너비 has 147 (82.1%) missing valuesMissing
조명시설조도 has 179 (100.0%) missing valuesMissing
노래방실수 has 179 (100.0%) missing valuesMissing
청소년실수 has 179 (100.0%) missing valuesMissing
비상계단여부 has 179 (100.0%) missing valuesMissing
비상구여부 has 179 (100.0%) missing valuesMissing
자동환기여부 has 179 (100.0%) missing valuesMissing
청소년실여부 has 179 (100.0%) missing valuesMissing
특수조명여부 has 179 (100.0%) missing valuesMissing
방음시설여부 has 179 (100.0%) missing valuesMissing
조명시설유무 has 179 (100.0%) missing valuesMissing
음향시설여부 has 179 (100.0%) missing valuesMissing
편의시설여부 has 179 (100.0%) missing valuesMissing
소방시설여부 has 179 (100.0%) missing valuesMissing
총게임기수 has 179 (100.0%) missing valuesMissing
기존게임업외업종명 has 179 (100.0%) missing valuesMissing
제공게임물명 has 179 (100.0%) missing valuesMissing
공연장형태구분명 has 179 (100.0%) missing valuesMissing
품목명 has 179 (100.0%) missing valuesMissing
최초등록시점 has 179 (100.0%) missing valuesMissing
Unnamed: 59 has 179 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
제공게임물명 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

Reproduction

Analysis started2024-04-21 13:41:42.565530
Analysis finished2024-04-21 13:41:43.685405
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:41:43.870824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q145.5
median90
Q3134.5
95-th percentile170.1
Maximum179
Range178
Interquartile range (IQR)89

Descriptive statistics

Standard deviation51.816986
Coefficient of variation (CV)0.57574428
Kurtosis-1.2
Mean90
Median Absolute Deviation (MAD)45
Skewness0
Sum16110
Variance2685
MonotonicityStrictly increasing
2024-04-21T22:41:44.307030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
114 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
비디오물감상실업
179 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 179
100.0%

Length

2024-04-21T22:41:44.728425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:45.041228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 179
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
03_10_01_P
179 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_10_01_P
2nd row03_10_01_P
3rd row03_10_01_P
4th row03_10_01_P
5th row03_10_01_P

Common Values

ValueCountFrequency (%)
03_10_01_P 179
100.0%

Length

2024-04-21T22:41:45.370243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:45.685994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_01_p 179
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3315698.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:41:45.970256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3310000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation43407.38
Coefficient of variation (CV)0.013091474
Kurtosis-0.97834053
Mean3315698.3
Median Absolute Deviation (MAD)40000
Skewness-0.041718456
Sum5.9351 × 108
Variance1.8842006 × 109
MonotonicityNot monotonic
2024-04-21T22:41:46.359509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3250000 31
17.3%
3350000 30
16.8%
3310000 26
14.5%
3290000 13
7.3%
3300000 13
7.3%
3330000 12
 
6.7%
3340000 11
 
6.1%
3380000 11
 
6.1%
3390000 10
 
5.6%
3270000 9
 
5.0%
Other values (4) 13
7.3%
ValueCountFrequency (%)
3250000 31
17.3%
3260000 2
 
1.1%
3270000 9
 
5.0%
3290000 13
7.3%
3300000 13
7.3%
3310000 26
14.5%
3320000 6
 
3.4%
3330000 12
 
6.7%
3340000 11
 
6.1%
3350000 30
16.8%
ValueCountFrequency (%)
3400000 1
 
0.6%
3390000 10
 
5.6%
3380000 11
 
6.1%
3370000 4
 
2.2%
3350000 30
16.8%
3340000 11
 
6.1%
3330000 12
 
6.7%
3320000 6
 
3.4%
3310000 26
14.5%
3300000 13
7.3%

관리번호
Text

Distinct68
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-21T22:41:47.110607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3580
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

Unique33 ?
Unique (%)18.4%

Sample

1st rowCDFF1242012004000002
2nd rowCDFF1242011996000002
3rd rowCDFF1242012002000001
4th rowCDFF1242011996000001
5th rowCDFF1242012002000008
ValueCountFrequency (%)
cdff1242011996000001 11
 
6.1%
cdff1242012004000001 9
 
5.0%
cdff1242011996000002 7
 
3.9%
cdff1242012002000001 7
 
3.9%
cdff1242011997000001 7
 
3.9%
cdff1242012003000001 7
 
3.9%
cdff1242012001000002 6
 
3.4%
cdff1242012002000002 6
 
3.4%
cdff1242012001000001 5
 
2.8%
cdff1242012000000001 5
 
2.8%
Other values (58) 109
60.9%
2024-04-21T22:41:48.441036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1321
36.9%
2 544
15.2%
1 540
15.1%
F 358
 
10.0%
4 204
 
5.7%
C 179
 
5.0%
D 179
 
5.0%
9 129
 
3.6%
6 47
 
1.3%
3 36
 
1.0%
Other values (3) 43
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2864
80.0%
Uppercase Letter 716
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1321
46.1%
2 544
19.0%
1 540
18.9%
4 204
 
7.1%
9 129
 
4.5%
6 47
 
1.6%
3 36
 
1.3%
7 20
 
0.7%
5 12
 
0.4%
8 11
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 358
50.0%
C 179
25.0%
D 179
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2864
80.0%
Latin 716
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1321
46.1%
2 544
19.0%
1 540
18.9%
4 204
 
7.1%
9 129
 
4.5%
6 47
 
1.6%
3 36
 
1.3%
7 20
 
0.7%
5 12
 
0.4%
8 11
 
0.4%
Latin
ValueCountFrequency (%)
F 358
50.0%
C 179
25.0%
D 179
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1321
36.9%
2 544
15.2%
1 540
15.1%
F 358
 
10.0%
4 204
 
5.7%
C 179
 
5.0%
D 179
 
5.0%
9 129
 
3.6%
6 47
 
1.3%
3 36
 
1.0%
Other values (3) 43
 
1.2%

인허가일자
Real number (ℝ)

Distinct153
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20013366
Minimum19960903
Maximum20160609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:41:48.862014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960903
5-th percentile19960907
Q119980557
median20011120
Q320031076
95-th percentile20082101
Maximum20160609
Range199706
Interquartile range (IQR)50519.5

Descriptive statistics

Standard deviation39619.589
Coefficient of variation (CV)0.0019796564
Kurtosis0.40968858
Mean20013366
Median Absolute Deviation (MAD)29301
Skewness0.57341586
Sum3.5823926 × 109
Variance1.5697119 × 109
MonotonicityNot monotonic
2024-04-21T22:41:49.314456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021205 9
 
5.0%
19960906 5
 
2.8%
19960907 4
 
2.2%
19960911 4
 
2.2%
20040518 2
 
1.1%
19961029 2
 
1.1%
20010727 2
 
1.1%
20020103 2
 
1.1%
19960909 2
 
1.1%
20070103 2
 
1.1%
Other values (143) 145
81.0%
ValueCountFrequency (%)
19960903 1
 
0.6%
19960904 1
 
0.6%
19960905 1
 
0.6%
19960906 5
2.8%
19960907 4
2.2%
19960909 2
 
1.1%
19960910 1
 
0.6%
19960911 4
2.2%
19960912 1
 
0.6%
19960913 1
 
0.6%
ValueCountFrequency (%)
20160609 1
0.6%
20131212 1
0.6%
20101105 1
0.6%
20100601 1
0.6%
20100310 1
0.6%
20091113 1
0.6%
20090604 1
0.6%
20090317 1
0.6%
20090128 1
0.6%
20081209 1
0.6%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
171 
20071106
 
4
20080211
 
1
20080102
 
1
20070831
 
1

Length

Max length8
Median length4
Mean length4.1787709
Min length4

Unique

Unique4 ?
Unique (%)2.2%

Sample

1st row20080211
2nd row20080102
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 171
95.5%
20071106 4
 
2.2%
20080211 1
 
0.6%
20080102 1
 
0.6%
20070831 1
 
0.6%
20070228 1
 
0.6%

Length

2024-04-21T22:41:49.773054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:50.138615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
95.5%
20071106 4
 
2.2%
20080211 1
 
0.6%
20080102 1
 
0.6%
20070831 1
 
0.6%
20070228 1
 
0.6%

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
139 
1
26 
4
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 139
77.7%
1 26
 
14.5%
4 14
 
7.8%

Length

2024-04-21T22:41:50.524030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:50.846723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 139
77.7%
1 26
 
14.5%
4 14
 
7.8%

영업상태명
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
139 
영업/정상
26 
취소/말소/만료/정지/중지
14 

Length

Max length14
Median length2
Mean length3.3743017
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 139
77.7%
영업/정상 26
 
14.5%
취소/말소/만료/정지/중지 14
 
7.8%

Length

2024-04-21T22:41:51.223759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:51.561460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 139
77.7%
영업/정상 26
 
14.5%
취소/말소/만료/정지/중지 14
 
7.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
139 
13
26 
35
 
6
30
 
6
31
 
2

Length

Max length2
Median length1
Mean length1.2234637
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row35
4th row35
5th row35

Common Values

ValueCountFrequency (%)
3 139
77.7%
13 26
 
14.5%
35 6
 
3.4%
30 6
 
3.4%
31 2
 
1.1%

Length

2024-04-21T22:41:51.941325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:52.282763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 139
77.7%
13 26
 
14.5%
35 6
 
3.4%
30 6
 
3.4%
31 2
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
139 
영업중
26 
직권말소
 
6
허가취소
 
6
등록취소
 
2

Length

Max length4
Median length2
Mean length2.301676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록취소
2nd row등록취소
3rd row직권말소
4th row직권말소
5th row직권말소

Common Values

ValueCountFrequency (%)
폐업 139
77.7%
영업중 26
 
14.5%
직권말소 6
 
3.4%
허가취소 6
 
3.4%
등록취소 2
 
1.1%

Length

2024-04-21T22:41:52.696038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:41:53.066040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 139
77.7%
영업중 26
 
14.5%
직권말소 6
 
3.4%
허가취소 6
 
3.4%
등록취소 2
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)93.8%
Missing34
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean20093621
Minimum20030130
Maximum20201216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:41:53.448129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030130
5-th percentile20030958
Q120050829
median20081021
Q320130325
95-th percentile20180795
Maximum20201216
Range171086
Interquartile range (IQR)79496

Descriptive statistics

Standard deviation47051.225
Coefficient of variation (CV)0.0023416
Kurtosis-0.69581886
Mean20093621
Median Absolute Deviation (MAD)30419
Skewness0.59445945
Sum2.9135751 × 109
Variance2.2138178 × 109
MonotonicityNot monotonic
2024-04-21T22:41:53.897263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070212 3
 
1.7%
20080214 3
 
1.7%
20100318 2
 
1.1%
20070904 2
 
1.1%
20071031 2
 
1.1%
20070723 2
 
1.1%
20100218 2
 
1.1%
20070910 1
 
0.6%
20110419 1
 
0.6%
20140609 1
 
0.6%
Other values (126) 126
70.4%
(Missing) 34
 
19.0%
ValueCountFrequency (%)
20030130 1
0.6%
20030226 1
0.6%
20030228 1
0.6%
20030415 1
0.6%
20030602 1
0.6%
20030625 1
0.6%
20030805 1
0.6%
20030918 1
0.6%
20031120 1
0.6%
20031204 1
0.6%
ValueCountFrequency (%)
20201216 1
0.6%
20200901 1
0.6%
20191128 1
0.6%
20191110 1
0.6%
20190626 1
0.6%
20190611 1
0.6%
20181001 1
0.6%
20180814 1
0.6%
20180720 1
0.6%
20171220 1
0.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소재지전화
Text

MISSING 

Distinct131
Distinct (%)98.5%
Missing46
Missing (%)25.7%
Memory size1.5 KiB
2024-04-21T22:41:54.919686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.518797
Min length8

Characters and Unicode

Total characters1133
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)97.0%

Sample

1st row051-462-2040
2nd row335-7197
3rd row264-3622
4th row202-4524
5th row625-8311
ValueCountFrequency (%)
248-1687 2
 
1.5%
702-3095 2
 
1.5%
245-1606 1
 
0.8%
582-4361 1
 
0.8%
231-0149 1
 
0.8%
248-8421 1
 
0.8%
244-8723 1
 
0.8%
244-2451 1
 
0.8%
051*246-1606 1
 
0.8%
248-6122 1
 
0.8%
Other values (121) 121
91.0%
2024-04-21T22:41:56.325913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 148
13.1%
5 138
12.2%
2 130
11.5%
1 112
9.9%
0 111
9.8%
6 102
9.0%
4 100
8.8%
3 79
7.0%
7 78
6.9%
8 75
6.6%
Other values (3) 60
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 983
86.8%
Dash Punctuation 148
 
13.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 138
14.0%
2 130
13.2%
1 112
11.4%
0 111
11.3%
6 102
10.4%
4 100
10.2%
3 79
8.0%
7 78
7.9%
8 75
7.6%
9 58
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 148
13.1%
5 138
12.2%
2 130
11.5%
1 112
9.9%
0 111
9.8%
6 102
9.0%
4 100
8.8%
3 79
7.0%
7 78
6.9%
8 75
6.6%
Other values (3) 60
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 148
13.1%
5 138
12.2%
2 130
11.5%
1 112
9.9%
0 111
9.8%
6 102
9.0%
4 100
8.8%
3 79
7.0%
7 78
6.9%
8 75
6.6%
Other values (3) 60
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)46.8%
Missing85
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean608276.47
Minimum600042
Maximum617833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:41:56.724417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600042
5-th percentile600042.65
Q1601840
median608805
Q3612845.75
95-th percentile617162.85
Maximum617833
Range17791
Interquartile range (IQR)11005.75

Descriptive statistics

Standard deviation5552.9499
Coefficient of variation (CV)0.0091289901
Kurtosis-1.1084092
Mean608276.47
Median Absolute Deviation (MAD)5000
Skewness-0.2209815
Sum57177988
Variance30835252
MonotonicityNot monotonic
2024-04-21T22:41:57.159744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
609839 9
 
5.0%
608805 8
 
4.5%
600043 5
 
2.8%
600042 5
 
2.8%
613805 4
 
2.2%
601840 4
 
2.2%
608804 3
 
1.7%
609840 3
 
1.7%
612847 3
 
1.7%
617807 3
 
1.7%
Other values (34) 47
26.3%
(Missing) 85
47.5%
ValueCountFrequency (%)
600042 5
2.8%
600043 5
2.8%
600045 3
1.7%
600046 2
 
1.1%
600805 1
 
0.6%
600807 3
1.7%
601800 1
 
0.6%
601808 1
 
0.6%
601812 1
 
0.6%
601829 1
 
0.6%
ValueCountFrequency (%)
617833 1
 
0.6%
617819 1
 
0.6%
617807 3
1.7%
616816 1
 
0.6%
614853 1
 
0.6%
614850 1
 
0.6%
614846 2
1.1%
614845 1
 
0.6%
613830 1
 
0.6%
613828 2
1.1%

소재지전체주소
Text

Distinct172
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-21T22:41:58.430427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length22.469274
Min length18

Characters and Unicode

Total characters4022
Distinct characters121
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)92.2%

Sample

1st row부산광역시 동구 초량동 1207-12번지
2nd row부산광역시 동구 초량동 1207-12번지
3rd row부산광역시 기장군 기장읍 대라리 79번지
4th row부산광역시 북구 구포동 1060-37번지
5th row부산광역시 사하구 다대동 63-17번지
ValueCountFrequency (%)
부산광역시 179
23.5%
중구 31
 
4.1%
금정구 30
 
3.9%
장전동 29
 
3.8%
남구 26
 
3.4%
대연동 25
 
3.3%
동래구 13
 
1.7%
부산진구 13
 
1.7%
해운대구 12
 
1.6%
사상구 11
 
1.4%
Other values (247) 393
51.6%
2024-04-21T22:42:00.139831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
583
 
14.5%
부 210
 
5.2%
동 201
 
5.0%
산 197
 
4.9%
광 185
 
4.6%
시 181
 
4.5%
구 181
 
4.5%
역 179
 
4.5%
지 178
 
4.4%
번 176
 
4.4%
Other values (111) 1751
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2405
59.8%
Decimal Number 841
 
20.9%
Space Separator 583
 
14.5%
Dash Punctuation 172
 
4.3%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 210
 
8.7%
동 201
 
8.4%
산 197
 
8.2%
광 185
 
7.7%
시 181
 
7.5%
구 181
 
7.5%
역 179
 
7.4%
지 178
 
7.4%
번 176
 
7.3%
남 54
 
2.2%
Other values (88) 663
27.6%
Decimal Number
ValueCountFrequency (%)
1 160
19.0%
2 132
15.7%
3 92
10.9%
5 92
10.9%
4 91
10.8%
0 67
8.0%
6 60
 
7.1%
7 53
 
6.3%
8 48
 
5.7%
9 46
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
F 1
20.0%
C 1
20.0%
S 1
20.0%
B 1
20.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
/ 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2405
59.8%
Common 1612
40.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 210
 
8.7%
동 201
 
8.4%
산 197
 
8.2%
광 185
 
7.7%
시 181
 
7.5%
구 181
 
7.5%
역 179
 
7.4%
지 178
 
7.4%
번 176
 
7.3%
남 54
 
2.2%
Other values (88) 663
27.6%
Common
ValueCountFrequency (%)
583
36.2%
- 172
 
10.7%
1 160
 
9.9%
2 132
 
8.2%
3 92
 
5.7%
5 92
 
5.7%
4 91
 
5.6%
0 67
 
4.2%
6 60
 
3.7%
7 53
 
3.3%
Other values (8) 110
 
6.8%
Latin
ValueCountFrequency (%)
F 1
20.0%
C 1
20.0%
S 1
20.0%
B 1
20.0%
D 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2405
59.8%
ASCII 1617
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
583
36.1%
- 172
 
10.6%
1 160
 
9.9%
2 132
 
8.2%
3 92
 
5.7%
5 92
 
5.7%
4 91
 
5.6%
0 67
 
4.1%
6 60
 
3.7%
7 53
 
3.3%
Other values (13) 115
 
7.1%
Hangul
ValueCountFrequency (%)
부 210
 
8.7%
동 201
 
8.4%
산 197
 
8.2%
광 185
 
7.7%
시 181
 
7.5%
구 181
 
7.5%
역 179
 
7.4%
지 178
 
7.4%
번 176
 
7.3%
남 54
 
2.2%
Other values (88) 663
27.6%

도로명전체주소
Text

MISSING 

Distinct170
Distinct (%)97.7%
Missing5
Missing (%)2.8%
Memory size1.5 KiB
2024-04-21T22:42:01.241538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length26.936782
Min length21

Characters and Unicode

Total characters4687
Distinct characters149
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)95.4%

Sample

1st row부산광역시 동구 중앙대로 207-1 (초량동)
2nd row부산광역시 동구 중앙대로 207-1 (초량동)
3rd row부산광역시 기장군 기장읍 차성남로65번길 12-0
4th row부산광역시 북구 낙동대로1694번길 10 (구포동)
5th row부산광역시 사하구 다대로429번길 5 (다대동, 태현빌딩302호)
ValueCountFrequency (%)
부산광역시 174
 
19.2%
중구 29
 
3.2%
금정구 29
 
3.2%
장전동 28
 
3.1%
남구 26
 
2.9%
대연동 22
 
2.4%
동래구 13
 
1.4%
부산진구 13
 
1.4%
해운대구 12
 
1.3%
사하구 11
 
1.2%
Other values (274) 547
60.5%
2024-04-21T22:42:02.747376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
842
 
18.0%
부 215
 
4.6%
동 210
 
4.5%
산 202
 
4.3%
광 198
 
4.2%
구 189
 
4.0%
( 178
 
3.8%
시 178
 
3.8%
) 178
 
3.8%
역 174
 
3.7%
Other values (139) 2123
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2766
59.0%
Space Separator 842
 
18.0%
Decimal Number 647
 
13.8%
Open Punctuation 178
 
3.8%
Close Punctuation 178
 
3.8%
Other Punctuation 43
 
0.9%
Dash Punctuation 30
 
0.6%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 215
 
7.8%
동 210
 
7.6%
산 202
 
7.3%
광 198
 
7.2%
구 189
 
6.8%
시 178
 
6.4%
역 174
 
6.3%
로 167
 
6.0%
대 90
 
3.3%
길 77
 
2.8%
Other values (119) 1066
38.5%
Decimal Number
ValueCountFrequency (%)
1 116
17.9%
2 107
16.5%
3 78
12.1%
5 65
10.0%
0 56
8.7%
4 53
8.2%
6 46
 
7.1%
8 44
 
6.8%
7 44
 
6.8%
9 38
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 40
93.0%
. 2
 
4.7%
& 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
842
100.0%
Open Punctuation
ValueCountFrequency (%)
( 178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2766
59.0%
Common 1919
40.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 215
 
7.8%
동 210
 
7.6%
산 202
 
7.3%
광 198
 
7.2%
구 189
 
6.8%
시 178
 
6.4%
역 174
 
6.3%
로 167
 
6.0%
대 90
 
3.3%
길 77
 
2.8%
Other values (119) 1066
38.5%
Common
ValueCountFrequency (%)
842
43.9%
( 178
 
9.3%
) 178
 
9.3%
1 116
 
6.0%
2 107
 
5.6%
3 78
 
4.1%
5 65
 
3.4%
0 56
 
2.9%
4 53
 
2.8%
6 46
 
2.4%
Other values (8) 200
 
10.4%
Latin
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2766
59.0%
ASCII 1921
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
842
43.8%
( 178
 
9.3%
) 178
 
9.3%
1 116
 
6.0%
2 107
 
5.6%
3 78
 
4.1%
5 65
 
3.4%
0 56
 
2.9%
4 53
 
2.8%
6 46
 
2.4%
Other values (10) 202
 
10.5%
Hangul
ValueCountFrequency (%)
부 215
 
7.8%
동 210
 
7.6%
산 202
 
7.3%
광 198
 
7.2%
구 189
 
6.8%
시 178
 
6.4%
역 174
 
6.3%
로 167
 
6.0%
대 90
 
3.3%
길 77
 
2.8%
Other values (119) 1066
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)67.3%
Missing127
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean251895.96
Minimum46293
Maximum619903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:03.122618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46293
5-th percentile46514.1
Q147292
median48953
Q3603328
95-th percentile614287.9
Maximum619903
Range573610
Interquartile range (IQR)556036

Descriptive statistics

Standard deviation271489.25
Coefficient of variation (CV)1.0777832
Kurtosis-1.7352656
Mean251895.96
Median Absolute Deviation (MAD)1985
Skewness0.57637343
Sum13098590
Variance7.3706411 × 1010
MonotonicityNot monotonic
2024-04-21T22:42:03.508016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
604851 4
 
2.2%
48512 4
 
2.2%
48953 4
 
2.2%
48499 3
 
1.7%
47292 2
 
1.1%
600045 2
 
1.1%
47006 2
 
1.1%
46293 2
 
1.1%
48981 2
 
1.1%
46968 2
 
1.1%
Other values (25) 25
 
14.0%
(Missing) 127
70.9%
ValueCountFrequency (%)
46293 2
1.1%
46502 1
0.6%
46524 1
0.6%
46576 1
0.6%
46963 1
0.6%
46968 2
1.1%
47006 2
1.1%
47229 1
0.6%
47289 1
0.6%
47292 2
1.1%
ValueCountFrequency (%)
619903 1
 
0.6%
616817 1
 
0.6%
614850 1
 
0.6%
613828 1
 
0.6%
608810 1
 
0.6%
604868 1
 
0.6%
604851 4
2.2%
604849 1
 
0.6%
604829 1
 
0.6%
604819 1
 
0.6%

사업장명
Text

Distinct170
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-21T22:42:04.250247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.2402235
Min length1

Characters and Unicode

Total characters1296
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)90.5%

Sample

1st row제이엔제이멀티방
2nd row스크린비디오방
3rd row낭뜨비디오감상실
4th row아카데미비디오방
5th row디브이디어드벤츠 비디오감상실
ValueCountFrequency (%)
dvd 24
 
9.7%
영화관 10
 
4.0%
비디오감상실 10
 
4.0%
영화감상실 6
 
2.4%
감상실 5
 
2.0%
아카데미 3
 
1.2%
팝스dvd영화관 3
 
1.2%
제임스딘 3
 
1.2%
ok 2
 
0.8%
dvd영화관 2
 
0.8%
Other values (171) 179
72.5%
2024-04-21T22:42:05.453574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 123
 
9.5%
실 71
 
5.5%
69
 
5.3%
상 69
 
5.3%
감 68
 
5.2%
V 59
 
4.6%
디 56
 
4.3%
영 53
 
4.1%
화 52
 
4.0%
비 48
 
3.7%
Other values (204) 628
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 956
73.8%
Uppercase Letter 242
 
18.7%
Space Separator 69
 
5.3%
Lowercase Letter 11
 
0.8%
Decimal Number 9
 
0.7%
Other Punctuation 3
 
0.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 71
 
7.4%
상 69
 
7.2%
감 68
 
7.1%
디 56
 
5.9%
영 53
 
5.5%
화 52
 
5.4%
비 48
 
5.0%
오 46
 
4.8%
스 37
 
3.9%
관 26
 
2.7%
Other values (165) 430
45.0%
Uppercase Letter
ValueCountFrequency (%)
D 123
50.8%
V 59
24.4%
M 6
 
2.5%
C 5
 
2.1%
O 5
 
2.1%
I 5
 
2.1%
A 5
 
2.1%
X 4
 
1.7%
F 4
 
1.7%
E 3
 
1.2%
Other values (14) 23
 
9.5%
Lowercase Letter
ValueCountFrequency (%)
d 4
36.4%
v 3
27.3%
h 1
 
9.1%
t 1
 
9.1%
i 1
 
9.1%
w 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
3 2
22.2%
0 2
22.2%
7 1
 
11.1%
Space Separator
ValueCountFrequency (%)
69
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 956
73.8%
Latin 253
 
19.5%
Common 87
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 71
 
7.4%
상 69
 
7.2%
감 68
 
7.1%
디 56
 
5.9%
영 53
 
5.5%
화 52
 
5.4%
비 48
 
5.0%
오 46
 
4.8%
스 37
 
3.9%
관 26
 
2.7%
Other values (165) 430
45.0%
Latin
ValueCountFrequency (%)
D 123
48.6%
V 59
23.3%
M 6
 
2.4%
C 5
 
2.0%
O 5
 
2.0%
I 5
 
2.0%
A 5
 
2.0%
X 4
 
1.6%
F 4
 
1.6%
d 4
 
1.6%
Other values (20) 33
 
13.0%
Common
ValueCountFrequency (%)
69
79.3%
2 4
 
4.6%
. 3
 
3.4%
3 2
 
2.3%
) 2
 
2.3%
( 2
 
2.3%
0 2
 
2.3%
- 2
 
2.3%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 956
73.8%
ASCII 340
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 123
36.2%
69
20.3%
V 59
17.4%
M 6
 
1.8%
C 5
 
1.5%
O 5
 
1.5%
I 5
 
1.5%
A 5
 
1.5%
X 4
 
1.2%
F 4
 
1.2%
Other values (29) 55
16.2%
Hangul
ValueCountFrequency (%)
실 71
 
7.4%
상 69
 
7.2%
감 68
 
7.1%
디 56
 
5.9%
영 53
 
5.5%
화 52
 
5.4%
비 48
 
5.0%
오 46
 
4.8%
스 37
 
3.9%
관 26
 
2.7%
Other values (165) 430
45.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0105595 × 1013
Minimum2.0030303 × 1013
Maximum2.0201216 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:05.866678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030303 × 1013
5-th percentile2.0040805 × 1013
Q12.0070861 × 1013
median2.0100118 × 1013
Q32.0140508 × 1013
95-th percentile2.0180833 × 1013
Maximum2.0201216 × 1013
Range1.7091299 × 1011
Interquartile range (IQR)6.9646511 × 1010

Descriptive statistics

Standard deviation4.4635014 × 1010
Coefficient of variation (CV)0.0022200295
Kurtosis-0.95569801
Mean2.0105595 × 1013
Median Absolute Deviation (MAD)3.089794 × 1010
Skewness0.37105118
Sum3.5989015 × 1015
Variance1.9922845 × 1021
MonotonicityNot monotonic
2024-04-21T22:42:06.322968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080214101317 1
 
0.6%
20091202173336 1
 
0.6%
20140609175133 1
 
0.6%
20170830093126 1
 
0.6%
20070921092501 1
 
0.6%
20201216144209 1
 
0.6%
20150831175857 1
 
0.6%
20081222165950 1
 
0.6%
20140530100707 1
 
0.6%
20091028142202 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
20030303151513 1
0.6%
20030612100154 1
0.6%
20030820132114 1
0.6%
20040119165908 1
0.6%
20040119165947 1
0.6%
20040130104334 1
0.6%
20040330161159 1
0.6%
20040402115349 1
0.6%
20040628161939 1
0.6%
20040824102633 1
0.6%
ValueCountFrequency (%)
20201216144209 1
0.6%
20200902132132 1
0.6%
20191128150943 1
0.6%
20191111173736 1
0.6%
20190725105035 1
0.6%
20190626155902 1
0.6%
20190611144436 1
0.6%
20190114175434 1
0.6%
20181001112843 1
0.6%
20180814134808 1
0.6%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
I
170 
U
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 170
95.0%
U 9
 
5.0%

Length

2024-04-21T22:42:06.824486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:07.141905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 170
95.0%
u 9
 
5.0%

데이터갱신일자
Date

Distinct10
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-18 02:40:00
2024-04-21T22:42:07.420245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:42:07.769586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(x)
Real number (ℝ)

Distinct165
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388246.63
Minimum378950.52
Maximum401608.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:08.388857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378950.52
5-th percentile380540.84
Q1385013.65
median389554.82
Q3391292.37
95-th percentile396930.78
Maximum401608.67
Range22658.151
Interquartile range (IQR)6278.7228

Descriptive statistics

Standard deviation4649.9985
Coefficient of variation (CV)0.011976919
Kurtosis0.032675907
Mean388246.63
Median Absolute Deviation (MAD)2896.8202
Skewness0.10702355
Sum69496146
Variance21622486
MonotonicityNot monotonic
2024-04-21T22:42:08.809288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
398237.363461482 3
 
1.7%
385876.244572777 2
 
1.1%
385075.243482647 2
 
1.1%
391314.752312923 2
 
1.1%
380718.902287156 2
 
1.1%
380839.982356128 2
 
1.1%
385895.33076236 2
 
1.1%
389701.426610178 2
 
1.1%
392991.419288377 2
 
1.1%
394088.105429703 2
 
1.1%
Other values (155) 158
88.3%
ValueCountFrequency (%)
378950.521165977 1
0.6%
378973.24029147 1
0.6%
378977.707971111 1
0.6%
378993.287249421 1
0.6%
379029.138532387 1
0.6%
379126.679638905 1
0.6%
379179.009141725 1
0.6%
379518.430359798 1
0.6%
380540.836768886 2
1.1%
380577.303655062 1
0.6%
ValueCountFrequency (%)
401608.672349068 1
 
0.6%
400768.055656637 1
 
0.6%
398237.363461482 3
1.7%
398209.525948624 1
 
0.6%
397059.999028695 1
 
0.6%
397043.328693253 1
 
0.6%
396949.492198292 1
 
0.6%
396928.697646 1
 
0.6%
396879.38896088 1
 
0.6%
396842.711499306 1
 
0.6%

좌표정보(y)
Real number (ℝ)

Distinct165
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186206.62
Minimum175274.14
Maximum195915.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:09.221188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175274.14
5-th percentile179559.02
Q1181548.22
median185836.65
Q3191438.61
95-th percentile194458.68
Maximum195915.09
Range20640.946
Interquartile range (IQR)9890.3935

Descriptive statistics

Standard deviation5347.0613
Coefficient of variation (CV)0.028715743
Kurtosis-1.0459349
Mean186206.62
Median Absolute Deviation (MAD)4756.8418
Skewness0.19749833
Sum33330985
Variance28591065
MonotonicityNot monotonic
2024-04-21T22:42:09.649787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187720.511056894 3
 
1.7%
181548.220623076 2
 
1.1%
179649.391946092 2
 
1.1%
183912.394843222 2
 
1.1%
186726.733313586 2
 
1.1%
186638.060782146 2
 
1.1%
181581.974104073 2
 
1.1%
194283.982268645 2
 
1.1%
185987.297434754 2
 
1.1%
186103.060590181 2
 
1.1%
Other values (155) 158
88.3%
ValueCountFrequency (%)
175274.144961403 2
1.1%
175716.379150747 1
0.6%
177090.2059972 1
0.6%
179510.26293209 1
0.6%
179529.542473352 1
0.6%
179543.449420041 1
0.6%
179552.786747988 1
0.6%
179557.228245877 1
0.6%
179559.218819161 1
0.6%
179567.538943818 1
0.6%
ValueCountFrequency (%)
195915.091406302 1
0.6%
195153.984472606 1
0.6%
195091.814369113 1
0.6%
195052.083433217 1
0.6%
194775.475704275 1
0.6%
194512.641889146 1
0.6%
194492.669076997 1
0.6%
194480.027607302 1
0.6%
194463.562363707 1
0.6%
194458.133376989 1
0.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
비디오물감상실업
179 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 179
100.0%

Length

2024-04-21T22:42:10.056558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:10.374510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 179
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
유통관련업
103 
<NA>
76 

Length

Max length5
Median length5
Mean length4.575419
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 103
57.5%
<NA> 76
42.5%

Length

2024-04-21T22:42:10.713818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:11.035697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 103
57.5%
na 76
42.5%

총층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)19.7%
Missing113
Missing (%)63.1%
Infinite0
Infinite (%)0.0%
Mean6.1363636
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:11.322689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q38
95-th percentile10.75
Maximum16
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7673167
Coefficient of variation (CV)0.45097014
Kurtosis1.6069701
Mean6.1363636
Median Absolute Deviation (MAD)2
Skewness0.90525626
Sum405
Variance7.658042
MonotonicityNot monotonic
2024-04-21T22:42:11.685271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 14
 
7.8%
4 12
 
6.7%
5 7
 
3.9%
8 7
 
3.9%
7 6
 
3.4%
3 6
 
3.4%
10 4
 
2.2%
9 3
 
1.7%
1 2
 
1.1%
11 2
 
1.1%
Other values (3) 3
 
1.7%
(Missing) 113
63.1%
ValueCountFrequency (%)
1 2
 
1.1%
2 1
 
0.6%
3 6
3.4%
4 12
6.7%
5 7
3.9%
6 14
7.8%
7 6
3.4%
8 7
3.9%
9 3
 
1.7%
10 4
 
2.2%
ValueCountFrequency (%)
16 1
 
0.6%
13 1
 
0.6%
11 2
 
1.1%
10 4
 
2.2%
9 3
 
1.7%
8 7
3.9%
7 6
3.4%
6 14
7.8%
5 7
3.9%
4 12
6.7%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
147 
유흥업소밀집지역
15 
기타
 
12
학교정화(상대)
 
3
주택가주변
 
2

Length

Max length8
Median length4
Mean length4.2793296
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 147
82.1%
유흥업소밀집지역 15
 
8.4%
기타 12
 
6.7%
학교정화(상대) 3
 
1.7%
주택가주변 2
 
1.1%

Length

2024-04-21T22:42:12.112576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:12.463061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
82.1%
유흥업소밀집지역 15
 
8.4%
기타 12
 
6.7%
학교정화(상대 3
 
1.7%
주택가주변 2
 
1.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)94.1%
Missing43
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean200.60507
Minimum55
Maximum719.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:12.828079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile75.735
Q1131.2125
median187.1
Q3260.755
95-th percentile360.215
Maximum719.82
Range664.82
Interquartile range (IQR)129.5425

Descriptive statistics

Standard deviation97.784169
Coefficient of variation (CV)0.48744614
Kurtosis4.8979193
Mean200.60507
Median Absolute Deviation (MAD)66.52
Skewness1.4693033
Sum27282.29
Variance9561.7437
MonotonicityNot monotonic
2024-04-21T22:42:13.255540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 3
 
1.7%
210.12 2
 
1.1%
233.68 2
 
1.1%
198.0 2
 
1.1%
75.24 2
 
1.1%
165.0 2
 
1.1%
150.0 2
 
1.1%
279.45 1
 
0.6%
184.02 1
 
0.6%
297.0 1
 
0.6%
Other values (118) 118
65.9%
(Missing) 43
 
24.0%
ValueCountFrequency (%)
55.0 1
0.6%
68.07 1
0.6%
69.0 1
0.6%
69.42 1
0.6%
70.0 1
0.6%
75.24 2
1.1%
75.9 1
0.6%
80.19 1
0.6%
82.5 1
0.6%
83.77 1
0.6%
ValueCountFrequency (%)
719.82 1
0.6%
446.57 1
0.6%
425.27 1
0.6%
422.0 1
0.6%
412.47 1
0.6%
396.86 1
0.6%
364.7 1
0.6%
358.72 1
0.6%
355.45 1
0.6%
332.0 1
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)9.3%
Missing71
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean4.6111111
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:13.614839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q36
95-th percentile9
Maximum14
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2747428
Coefficient of variation (CV)0.49331772
Kurtosis2.1282924
Mean4.6111111
Median Absolute Deviation (MAD)1
Skewness1.3577063
Sum498
Variance5.1744548
MonotonicityNot monotonic
2024-04-21T22:42:13.970860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 30
16.8%
4 21
 
11.7%
5 16
 
8.9%
2 13
 
7.3%
6 8
 
4.5%
7 8
 
4.5%
9 4
 
2.2%
10 4
 
2.2%
8 3
 
1.7%
14 1
 
0.6%
(Missing) 71
39.7%
ValueCountFrequency (%)
2 13
7.3%
3 30
16.8%
4 21
11.7%
5 16
8.9%
6 8
 
4.5%
7 8
 
4.5%
8 3
 
1.7%
9 4
 
2.2%
10 4
 
2.2%
14 1
 
0.6%
ValueCountFrequency (%)
14 1
 
0.6%
10 4
 
2.2%
9 4
 
2.2%
8 3
 
1.7%
7 8
 
4.5%
6 8
 
4.5%
5 16
8.9%
4 21
11.7%
3 30
16.8%
2 13
7.3%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
157 
1
16 
2
 
4
3
 
2

Length

Max length4
Median length4
Mean length3.6312849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 157
87.7%
1 16
 
8.9%
2 4
 
2.2%
3 2
 
1.1%

Length

2024-04-21T22:42:14.376622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:14.718109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
87.7%
1 16
 
8.9%
2 4
 
2.2%
3 2
 
1.1%

건물용도명
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
104 
근린생활시설
72 
문화시설
 
3

Length

Max length6
Median length4
Mean length4.8044693
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
58.1%
근린생활시설 72
40.2%
문화시설 3
 
1.7%

Length

2024-04-21T22:42:15.112192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:15.462612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
58.1%
근린생활시설 72
40.2%
문화시설 3
 
1.7%

통로너비
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)40.6%
Missing147
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean9.7990625
Minimum0.9
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T22:42:15.768281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile0.9455
Q11
median1.06
Q31.2
95-th percentile59.435
Maximum150
Range149.1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation34.250466
Coefficient of variation (CV)3.4952798
Kurtosis13.62366
Mean9.7990625
Median Absolute Deviation (MAD)0.105
Skewness3.8304948
Sum313.57
Variance1173.0944
MonotonicityNot monotonic
2024-04-21T22:42:16.134292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.0 11
 
6.1%
1.2 7
 
3.9%
1.1 3
 
1.7%
1.5 2
 
1.1%
1.4 1
 
0.6%
0.94 1
 
0.6%
0.95 1
 
0.6%
150.0 1
 
0.6%
0.9 1
 
0.6%
0.96 1
 
0.6%
Other values (3) 3
 
1.7%
(Missing) 147
82.1%
ValueCountFrequency (%)
0.9 1
 
0.6%
0.94 1
 
0.6%
0.95 1
 
0.6%
0.96 1
 
0.6%
1.0 11
6.1%
1.02 1
 
0.6%
1.1 3
 
1.7%
1.2 7
3.9%
1.4 1
 
0.6%
1.5 2
 
1.1%
ValueCountFrequency (%)
150.0 1
 
0.6%
130.0 1
 
0.6%
1.7 1
 
0.6%
1.5 2
 
1.1%
1.4 1
 
0.6%
1.2 7
3.9%
1.1 3
 
1.7%
1.02 1
 
0.6%
1.0 11
6.1%
0.96 1
 
0.6%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

비디오재생기명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
자동
151 
<NA>
28 

Length

Max length4
Median length2
Mean length2.3128492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 151
84.4%
<NA> 28
 
15.6%

Length

2024-04-21T22:42:16.575459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:16.929786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 151
84.4%
na 28
 
15.6%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
146 
상업지역
 
13
일반상업지역
 
8
준주거지역
 
6
주거지역
 
4
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.1452514
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 146
81.6%
상업지역 13
 
7.3%
일반상업지역 8
 
4.5%
준주거지역 6
 
3.4%
주거지역 4
 
2.2%
중심상업지역 1
 
0.6%
일반주거지역 1
 
0.6%

Length

2024-04-21T22:42:17.312998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:42:17.687221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
81.6%
상업지역 13
 
7.3%
일반상업지역 8
 
4.5%
준주거지역 6
 
3.4%
주거지역 4
 
2.2%
중심상업지역 1
 
0.6%
일반주거지역 1
 
0.6%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01비디오물감상실업03_10_01_P3270000CDFF124201200400000220040909200802114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-462-2040<NA>601840부산광역시 동구 초량동 1207-12번지부산광역시 동구 중앙대로 207-1 (초량동)<NA>제이엔제이멀티방20080214101317I2018-08-31 23:59:59.0<NA>385876.244573181548.220623비디오물감상실업유통관련업<NA><NA><NA>108.963<NA>근린생활시설1.2<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12비디오물감상실업03_10_01_P3270000CDFF124201199600000219960906200801024취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>601840부산광역시 동구 초량동 1207-12번지부산광역시 동구 중앙대로 207-1 (초량동)<NA>스크린비디오방20080214101142I2018-08-31 23:59:59.0<NA>385876.244573181548.220623비디오물감상실업유통관련업<NA><NA><NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23비디오물감상실업03_10_01_P3400000CDFF124201200200000120020102<NA>4취소/말소/만료/정지/중지35직권말소20120106<NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 79번지부산광역시 기장군 기장읍 차성남로65번길 12-0619903낭뜨비디오감상실20120106094309I2018-08-31 23:59:59.0<NA>401608.672349195915.091406비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34비디오물감상실업03_10_01_P3320000CDFF124201199600000119960910<NA>4취소/말소/만료/정지/중지35직권말소20170221<NA><NA><NA>335-7197<NA><NA>부산광역시 북구 구포동 1060-37번지부산광역시 북구 낙동대로1694번길 10 (구포동)46502아카데미비디오방20170221181413I2018-08-31 23:59:59.0<NA>381758.954766191431.851312비디오물감상실업<NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45비디오물감상실업03_10_01_P3340000CDFF124201200200000820021205<NA>4취소/말소/만료/정지/중지35직권말소20100218<NA><NA><NA>264-3622<NA><NA>부산광역시 사하구 다대동 63-17번지부산광역시 사하구 다대로429번길 5 (다대동, 태현빌딩302호)604819디브이디어드벤츠 비디오감상실20131227163249I2018-08-31 23:59:59.0<NA>380577.303655175716.379151비디오물감상실업<NA>6<NA><NA>223.183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56비디오물감상실업03_10_01_P3340000CDFF124201200200000120021205<NA>4취소/말소/만료/정지/중지35직권말소20100218<NA><NA><NA>202-4524<NA><NA>부산광역시 사하구 당리동 303-2번지부산광역시 사하구 승학로2번길 14 (당리동)604829남뚜비디오 감상실20131227162944I2018-08-31 23:59:59.0<NA>379518.43036180290.78435비디오물감상실업<NA>5<NA><NA>154.443<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67비디오물감상실업03_10_01_P3310000CDFF124201199600000219960906<NA>4취소/말소/만료/정지/중지35직권말소20090129<NA><NA><NA>625-8311<NA>608810부산광역시 남구 대연동 427-27번지부산광역시 남구 용소로 28 (대연동)<NA>렌20090129135827I2018-08-31 23:59:59.0<NA>391387.069715183753.728022비디오물감상실업유통관련업<NA>유흥업소밀집지역<NA>200.244<NA>근린생활시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78비디오물감상실업03_10_01_P3370000CDFF124201199700000119970305<NA>4취소/말소/만료/정지/중지35직권말소20120611<NA><NA><NA>782-5659<NA><NA>부산광역시 연제구 연산동 57-28번지부산광역시 연제구 과정로 105-7 (연산동)<NA>제임스딘비디오감상실20120917131525I2018-08-31 23:59:59.0<NA>391828.52712188920.54766비디오물감상실업<NA>4기타<NA>138.653<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역<NA>
89비디오물감상실업03_10_01_P3340000CDFF124201200200000920021205200708314취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>265-5657<NA><NA>부산광역시 사하구 다대동 1573번지부산광역시 사하구 다송로72번길 82 (다대동, 에스앤씨301.302.312호)604868디브디이영화관 비디오감상실20131227163416I2018-08-31 23:59:59.0<NA>380540.836769175274.144961비디오물감상실업<NA>4<NA><NA>358.723<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910비디오물감상실업03_10_01_P3270000CDFF124201200100000120010727200702284취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>601829부산광역시 동구 초량동 360번지부산광역시 동구 중앙대로 227 (초량동)<NA>드림 DVD 휴게실20070502114055I2018-08-31 23:59:59.0<NA>385964.142356181721.734875비디오물감상실업유통관련업<NA><NA><NA>117.19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
169170비디오물감상실업03_10_01_P3310000CDFF124201201600000120160609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 55-18번지부산광역시 남구 용소로7번길 9, 7층 (대연동, 중앙프라자)48508조이DVD20160609095447I2018-08-31 23:59:59.0<NA>391398.597106184009.021887비디오물감상실업<NA><NA><NA><NA>191.7181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
170171비디오물감상실업03_10_01_P3310000CDFF124201200900000120091113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 68-7번지 미래프라자 3층부산광역시 남구 용소로8번길 17, 3층 (대연동, 미래프라자)48498나모 DVD 영화감상실20111221145647I2018-08-31 23:59:59.0<NA>391288.992098183904.869519비디오물감상실업<NA>6<NA><NA>182.043<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
171172비디오물감상실업03_10_01_P3310000CDFF124201200200000120020223<NA>1영업/정상13영업중<NA><NA><NA><NA>051-628-8779<NA><NA>부산광역시 남구 대연동 72-7번지 산암빌딩 901호부산광역시 남구 수영로 298, 901호 (대연동, 산암빌딩)48499무비존20111221145510I2018-08-31 23:59:59.0<NA>391236.731928183961.925784비디오물감상실업<NA><NA><NA><NA>364.79<NA>근린생활시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
172173비디오물감상실업03_10_01_P3290000CDFF124201200600000120060929<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 168-182번지 5층부산광역시 부산진구 중앙대로702번길 15, 5층 (부전동)47292BIFF DVD20161216125556I2018-08-31 23:59:59.0<NA>387642.96827185973.807919비디오물감상실업<NA>8<NA><NA>180.45<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173174비디오물감상실업03_10_01_P3290000CDFF124201200400000120041111<NA>1영업/정상13영업중<NA><NA><NA><NA>804-6665<NA><NA>부산광역시 부산진구 부전동 240-13번지 청양빌딩 6층부산광역시 부산진구 서면로 40 (부전동, 청양빌딩 6층)47289MEGA DVD 전용영화관20180518103634I2018-08-31 23:59:59.0<NA>387462.946507185836.649889비디오물감상실업<NA>16<NA><NA>278.78142근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
174175비디오물감상실업03_10_01_P3290000CDFF124201200300000620031208<NA>1영업/정상13영업중<NA><NA><NA><NA>804-0702<NA><NA>부산광역시 부산진구 부전동 172-5번지부산광역시 부산진구 중앙대로692번길 31 (부전동)<NA>벅스DVD20091019181443I2018-08-31 23:59:59.0<NA>387723.384276185895.381687비디오물감상실업유통관련업8<NA><NA>446.575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
175176비디오물감상실업03_10_01_P3290000CDFF124201200300000420030407<NA>1영업/정상13영업중<NA><NA><NA><NA>865-8831<NA><NA>부산광역시 부산진구 양정동 363-10번지 2층부산광역시 부산진구 양지로8번길 6, 2층 (양정동)47229부산피프영화감상실20161229113007I2018-08-31 23:59:59.0<NA>388454.6337187562.440592비디오물감상실업<NA>5<NA><NA>136.782<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
176177비디오물감상실업03_10_01_P3250000CDFF124201200200000120021129<NA>1영업/정상13영업중<NA><NA><NA><NA>253-1422<NA><NA>부산광역시 중구 남포동3가 1-1번지부산광역시 중구 비프광장로 31 (남포동3가)48953CCY3 DVD룸20171211182301I2018-08-31 23:59:59.0<NA>384891.690525179648.365594비디오물감상실업<NA><NA><NA><NA>101.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
177178비디오물감상실업03_10_01_P3250000CDFF124201200100000620010302<NA>1영업/정상13영업중<NA><NA><NA><NA>242-0611<NA><NA>부산광역시 중구 남포동5가 2-6번지부산광역시 중구 구덕로 50 (남포동5가)48953시네마비디오감상실20140612133120I2018-08-31 23:59:59.0<NA>385065.805685179603.568697비디오물감상실업<NA>4<NA><NA>264.254<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
178179비디오물감상실업03_10_01_P3250000CDFF124201199700000119970422<NA>1영업/정상13영업중<NA><NA><NA><NA>246-3857<NA><NA>부산광역시 중구 남포동6가 108번지부산광역시 중구 비프광장로 4-1 (남포동6가)48981아폴로20171106110821I2018-08-31 23:59:59.0<NA>384653.072801179543.44942비디오물감상실업<NA><NA><NA><NA>173.763<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>