Overview

Dataset statistics

Number of variables64
Number of observations25
Missing cells903
Missing cells (%)56.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory563.3 B

Variable types

Numeric11
Categorical13
Text10
Unsupported29
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123121

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
총층수 is highly imbalanced (69.6%)Imbalance
지상층수 is highly imbalanced (69.6%)Imbalance
지하층수 is highly imbalanced (59.8%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 16 (64.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
소재지전화 has 6 (24.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 3 (12.0%) missing valuesMissing
도로명우편번호 has 13 (52.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
지역구분명 has 22 (88.0%) missing valuesMissing
주변환경명 has 24 (96.0%) missing valuesMissing
제작취급품목내용 has 25 (100.0%) missing valuesMissing
보험기관명 has 25 (100.0%) missing valuesMissing
건물용도명 has 24 (96.0%) missing valuesMissing
객실수 has 25 (100.0%) missing valuesMissing
건축연면적 has 25 (100.0%) missing valuesMissing
영문상호명 has 16 (64.0%) missing valuesMissing
영문상호주소 has 18 (72.0%) missing valuesMissing
선박총톤수 has 25 (100.0%) missing valuesMissing
선박척수 has 25 (100.0%) missing valuesMissing
선박제원 has 25 (100.0%) missing valuesMissing
무대면적 has 25 (100.0%) missing valuesMissing
좌석수 has 25 (100.0%) missing valuesMissing
기념품종류 has 25 (100.0%) missing valuesMissing
회의실별동시수용인원 has 25 (100.0%) missing valuesMissing
시설면적 has 18 (72.0%) missing valuesMissing
놀이기구수내역 has 25 (100.0%) missing valuesMissing
놀이시설수 has 25 (100.0%) missing valuesMissing
방송시설유무 has 25 (100.0%) missing valuesMissing
발전시설유무 has 25 (100.0%) missing valuesMissing
의무실유무 has 25 (100.0%) missing valuesMissing
안내소유무 has 25 (100.0%) missing valuesMissing
기획여행보험시작일자 has 25 (100.0%) missing valuesMissing
기획여행보험종료일자 has 25 (100.0%) missing valuesMissing
보험시작일자 has 25 (100.0%) missing valuesMissing
보험종료일자 has 25 (100.0%) missing valuesMissing
부대시설내역 has 25 (100.0%) missing valuesMissing
시설규모 has 18 (72.0%) missing valuesMissing
Unnamed: 63 has 25 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 03:15:21.690786
Analysis finished2024-04-16 03:15:22.272826
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:22.327832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-04-16T12:15:22.447051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
외국인전용유흥음식점업
25 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인전용유흥음식점업 25
100.0%

Length

2024-04-16T12:15:22.561149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:22.647116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 25
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
07_24_03_P
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_03_P
2nd row07_24_03_P
3rd row07_24_03_P
4th row07_24_03_P
5th row07_24_03_P

Common Values

ValueCountFrequency (%)
07_24_03_P 25
100.0%

Length

2024-04-16T12:15:22.735777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:22.816220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_03_p 25
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3285200
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:22.885341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3254000
Q13270000
median3270000
Q33270000
95-th percentile3366000
Maximum3390000
Range140000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37094.474
Coefficient of variation (CV)0.01129139
Kurtosis2.29701
Mean3285200
Median Absolute Deviation (MAD)0
Skewness1.8298998
Sum82130000
Variance1.376 × 109
MonotonicityIncreasing
2024-04-16T12:15:22.978977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3270000 18
72.0%
3250000 2
 
8.0%
3330000 2
 
8.0%
3350000 1
 
4.0%
3370000 1
 
4.0%
3390000 1
 
4.0%
ValueCountFrequency (%)
3250000 2
 
8.0%
3270000 18
72.0%
3330000 2
 
8.0%
3350000 1
 
4.0%
3370000 1
 
4.0%
3390000 1
 
4.0%
ValueCountFrequency (%)
3390000 1
 
4.0%
3370000 1
 
4.0%
3350000 1
 
4.0%
3330000 2
 
8.0%
3270000 18
72.0%
3250000 2
 
8.0%

관리번호
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-16T12:15:23.151119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters500
Distinct characters14
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

Unique19 ?
Unique (%)76.0%

Sample

1st rowCDFI3261032007000001
2nd rowCDFI3261032016000001
3rd rowCDFI3261032010000002
4th rowCDFI3261032015000001
5th rowCDFI3261032008000001
ValueCountFrequency (%)
cdfi3261032012000001 2
 
8.0%
cdfi3261032010000001 2
 
8.0%
cdfi3261032002000001 2
 
8.0%
cdfi3261031989000001 1
 
4.0%
cdfi3261032007000001 1
 
4.0%
cdfi3261031989000002 1
 
4.0%
cdfi3261032013000002 1
 
4.0%
cdfi3261032018000001 1
 
4.0%
cdfi3261032015000002 1
 
4.0%
cdfi3261032001000002 1
 
4.0%
Other values (12) 12
48.0%
2024-04-16T12:15:23.446261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 183
36.6%
1 65
 
13.0%
2 54
 
10.8%
3 52
 
10.4%
6 27
 
5.4%
C 25
 
5.0%
D 25
 
5.0%
F 25
 
5.0%
I 25
 
5.0%
8 7
 
1.4%
Other values (4) 12
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
45.8%
1 65
 
16.2%
2 54
 
13.5%
3 52
 
13.0%
6 27
 
6.8%
8 7
 
1.8%
9 7
 
1.8%
5 2
 
0.5%
4 2
 
0.5%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 25
25.0%
D 25
25.0%
F 25
25.0%
I 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 183
45.8%
1 65
 
16.2%
2 54
 
13.5%
3 52
 
13.0%
6 27
 
6.8%
8 7
 
1.8%
9 7
 
1.8%
5 2
 
0.5%
4 2
 
0.5%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
C 25
25.0%
D 25
25.0%
F 25
25.0%
I 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 183
36.6%
1 65
 
13.0%
2 54
 
10.8%
3 52
 
10.4%
6 27
 
5.4%
C 25
 
5.0%
D 25
 
5.0%
F 25
 
5.0%
I 25
 
5.0%
8 7
 
1.4%
Other values (4) 12
 
2.4%

인허가일자
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20046752
Minimum19801004
Maximum20180118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:23.571886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19801004
5-th percentile19844164
Q120010118
median20100803
Q320120928
95-th percentile20159047
Maximum20180118
Range379114
Interquartile range (IQR)110810

Descriptive statistics

Standard deviation109819.5
Coefficient of variation (CV)0.0054781693
Kurtosis-0.16615444
Mean20046752
Median Absolute Deviation (MAD)50414
Skewness-0.97872371
Sum5.011688 × 108
Variance1.2060323 × 1010
MonotonicityNot monotonic
2024-04-16T12:15:23.691064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19890901 2
 
8.0%
20070119 1
 
4.0%
20010118 1
 
4.0%
20021010 1
 
4.0%
20120928 1
 
4.0%
20141010 1
 
4.0%
20120417 1
 
4.0%
20100803 1
 
4.0%
20130710 1
 
4.0%
20180118 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
19801004 1
4.0%
19840101 1
4.0%
19860417 1
4.0%
19890901 2
8.0%
20000608 1
4.0%
20010118 1
4.0%
20010906 1
4.0%
20021010 1
4.0%
20021021 1
4.0%
20070119 1
4.0%
ValueCountFrequency (%)
20180118 1
4.0%
20161004 1
4.0%
20151217 1
4.0%
20150626 1
4.0%
20141010 1
4.0%
20130710 1
4.0%
20120928 1
4.0%
20120417 1
4.0%
20110609 1
4.0%
20101109 1
4.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
16 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 16
64.0%
3 9
36.0%

Length

2024-04-16T12:15:23.809611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:23.894284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
64.0%
3 9
36.0%

영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
16 
폐업
9 

Length

Max length5
Median length5
Mean length3.92
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
64.0%
폐업 9
36.0%

Length

2024-04-16T12:15:23.988645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:24.080095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
64.0%
폐업 9
36.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
16 
3
9 

Length

Max length2
Median length2
Mean length1.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 16
64.0%
3 9
36.0%

Length

2024-04-16T12:15:24.174521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:24.266923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
64.0%
3 9
36.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
16 
폐업
9 

Length

Max length3
Median length3
Mean length2.64
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
64.0%
폐업 9
36.0%

Length

2024-04-16T12:15:24.367307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:24.456132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
64.0%
폐업 9
36.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing16
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean20142879
Minimum20051115
Maximum20190702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:24.533982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051115
5-th percentile20074915
Q120130401
median20151216
Q320170215
95-th percentile20186507
Maximum20190702
Range139587
Interquartile range (IQR)39814

Descriptive statistics

Standard deviation42488.482
Coefficient of variation (CV)0.0021093549
Kurtosis1.991919
Mean20142879
Median Absolute Deviation (MAD)20815
Skewness-1.2991979
Sum1.8128591 × 108
Variance1.8052711 × 109
MonotonicityNot monotonic
2024-04-16T12:15:24.630860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20110615 1
 
4.0%
20170215 1
 
4.0%
20160824 1
 
4.0%
20180214 1
 
4.0%
20140611 1
 
4.0%
20190702 1
 
4.0%
20151216 1
 
4.0%
20130401 1
 
4.0%
20051115 1
 
4.0%
(Missing) 16
64.0%
ValueCountFrequency (%)
20051115 1
4.0%
20110615 1
4.0%
20130401 1
4.0%
20140611 1
4.0%
20151216 1
4.0%
20160824 1
4.0%
20170215 1
4.0%
20180214 1
4.0%
20190702 1
4.0%
ValueCountFrequency (%)
20190702 1
4.0%
20180214 1
4.0%
20170215 1
4.0%
20160824 1
4.0%
20151216 1
4.0%
20140611 1
4.0%
20130401 1
4.0%
20110615 1
4.0%
20051115 1
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지전화
Text

MISSING 

Distinct15
Distinct (%)78.9%
Missing6
Missing (%)24.0%
Memory size332.0 B
2024-04-16T12:15:24.781222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.7894737
Min length8

Characters and Unicode

Total characters186
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)68.4%

Sample

1st row244-2258
2nd row051-639-7677
3rd row051-464-9894
4th row467-3604
5th row467-3604
ValueCountFrequency (%)
467-3604 3
15.8%
051-467-3604 3
15.8%
244-2258 1
 
5.3%
051-639-7677 1
 
5.3%
051-464-9894 1
 
5.3%
051-441-2247 1
 
5.3%
467-7381 1
 
5.3%
467-0600 1
 
5.3%
051-468-7090 1
 
5.3%
0514673604 1
 
5.3%
Other values (5) 5
26.3%
2024-04-16T12:15:25.059870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 29
15.6%
- 26
14.0%
6 25
13.4%
0 25
13.4%
7 18
9.7%
5 14
7.5%
1 13
7.0%
3 11
 
5.9%
8 10
 
5.4%
2 8
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
86.0%
Dash Punctuation 26
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 29
18.1%
6 25
15.6%
0 25
15.6%
7 18
11.2%
5 14
8.8%
1 13
8.1%
3 11
 
6.9%
8 10
 
6.2%
2 8
 
5.0%
9 7
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 29
15.6%
- 26
14.0%
6 25
13.4%
0 25
13.4%
7 18
9.7%
5 14
7.5%
1 13
7.0%
3 11
 
5.9%
8 10
 
5.4%
2 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 29
15.6%
- 26
14.0%
6 25
13.4%
0 25
13.4%
7 18
9.7%
5 14
7.5%
1 13
7.0%
3 11
 
5.9%
8 10
 
5.4%
2 8
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)45.5%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean604220.5
Minimum600042
Maximum617809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:25.164684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600042
5-th percentile601808.1
Q1601829
median601829
Q3601840
95-th percentile612030.5
Maximum617809
Range17767
Interquartile range (IQR)11

Descriptive statistics

Standard deviation4903.2777
Coefficient of variation (CV)0.008115047
Kurtosis1.6401828
Mean604220.5
Median Absolute Deviation (MAD)0.5
Skewness1.6823712
Sum13292851
Variance24042133
MonotonicityNot monotonic
2024-04-16T12:15:25.258935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
601829 11
44.0%
601840 3
 
12.0%
600042 1
 
4.0%
601807 1
 
4.0%
601830 1
 
4.0%
612021 1
 
4.0%
612031 1
 
4.0%
609850 1
 
4.0%
611822 1
 
4.0%
617809 1
 
4.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
600042 1
 
4.0%
601807 1
 
4.0%
601829 11
44.0%
601830 1
 
4.0%
601840 3
 
12.0%
609850 1
 
4.0%
611822 1
 
4.0%
612021 1
 
4.0%
612031 1
 
4.0%
617809 1
 
4.0%
ValueCountFrequency (%)
617809 1
 
4.0%
612031 1
 
4.0%
612021 1
 
4.0%
611822 1
 
4.0%
609850 1
 
4.0%
601840 3
 
12.0%
601830 1
 
4.0%
601829 11
44.0%
601807 1
 
4.0%
600042 1
 
4.0%

소재지전체주소
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-16T12:15:25.456723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length22.16
Min length18

Characters and Unicode

Total characters554
Distinct characters60
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row부산광역시 중구 남포동2가 25-10번지 쏠레마빌딩 901호
2nd row부산광역시 중구 부평동2가 39-1번지
3rd row부산광역시 동구 초량동 483번지 2층
4th row부산광역시 동구 범일동 830-62번지
5th row부산광역시 동구 초량동 611번지
ValueCountFrequency (%)
부산광역시 25
22.7%
동구 18
16.4%
초량동 17
15.5%
500-1번지 3
 
2.7%
486-2번지 3
 
2.7%
중구 2
 
1.8%
1층 2
 
1.8%
해운대구 2
 
1.8%
493번지 2
 
1.8%
901-3호 1
 
0.9%
Other values (35) 35
31.8%
2024-04-16T12:15:25.764871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
15.3%
동 43
 
7.8%
부 26
 
4.7%
산 26
 
4.7%
번 25
 
4.5%
광 25
 
4.5%
역 25
 
4.5%
시 25
 
4.5%
구 25
 
4.5%
지 25
 
4.5%
Other values (50) 224
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
59.4%
Decimal Number 118
 
21.3%
Space Separator 85
 
15.3%
Dash Punctuation 22
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
13.1%
부 26
 
7.9%
산 26
 
7.9%
번 25
 
7.6%
광 25
 
7.6%
역 25
 
7.6%
시 25
 
7.6%
구 25
 
7.6%
지 25
 
7.6%
초 17
 
5.2%
Other values (38) 67
20.4%
Decimal Number
ValueCountFrequency (%)
1 22
18.6%
0 16
13.6%
2 15
12.7%
4 13
11.0%
8 12
10.2%
6 10
8.5%
9 9
7.6%
3 8
 
6.8%
5 7
 
5.9%
7 6
 
5.1%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
59.4%
Common 225
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
13.1%
부 26
 
7.9%
산 26
 
7.9%
번 25
 
7.6%
광 25
 
7.6%
역 25
 
7.6%
시 25
 
7.6%
구 25
 
7.6%
지 25
 
7.6%
초 17
 
5.2%
Other values (38) 67
20.4%
Common
ValueCountFrequency (%)
85
37.8%
- 22
 
9.8%
1 22
 
9.8%
0 16
 
7.1%
2 15
 
6.7%
4 13
 
5.8%
8 12
 
5.3%
6 10
 
4.4%
9 9
 
4.0%
3 8
 
3.6%
Other values (2) 13
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
59.4%
ASCII 225
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
37.8%
- 22
 
9.8%
1 22
 
9.8%
0 16
 
7.1%
2 15
 
6.7%
4 13
 
5.8%
8 12
 
5.3%
6 10
 
4.4%
9 9
 
4.0%
3 8
 
3.6%
Other values (2) 13
 
5.8%
Hangul
ValueCountFrequency (%)
동 43
13.1%
부 26
 
7.9%
산 26
 
7.9%
번 25
 
7.6%
광 25
 
7.6%
역 25
 
7.6%
시 25
 
7.6%
구 25
 
7.6%
지 25
 
7.6%
초 17
 
5.2%
Other values (38) 67
20.4%

도로명전체주소
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-16T12:15:25.956271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length28.68
Min length23

Characters and Unicode

Total characters717
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row부산광역시 중구 구덕로34번길 4, 901호 (남포동2가,쏠레마빌딩)
2nd row부산광역시 중구 비프광장로 7, 4층 (부평동2가)
3rd row부산광역시 동구 대영로243번길 105 (초량동,2층)
4th row부산광역시 동구 범일로90번길 17 (범일동)
5th row부산광역시 동구 중앙대로179번길 11 (초량동)
ValueCountFrequency (%)
부산광역시 25
18.7%
동구 18
 
13.4%
초량동 15
 
11.2%
대영로243번길 13
 
9.7%
중앙대로209번길 3
 
2.2%
101 3
 
2.2%
73-3 3
 
2.2%
2층 2
 
1.5%
중구 2
 
1.5%
해운대구 2
 
1.5%
Other values (48) 48
35.8%
2024-04-16T12:15:26.269464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
16.2%
동 44
 
6.1%
광 27
 
3.8%
부 26
 
3.6%
2 26
 
3.6%
구 26
 
3.6%
산 26
 
3.6%
시 25
 
3.5%
역 25
 
3.5%
) 25
 
3.5%
Other values (62) 351
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
56.3%
Decimal Number 129
 
18.0%
Space Separator 116
 
16.2%
Close Punctuation 25
 
3.5%
Open Punctuation 25
 
3.5%
Other Punctuation 12
 
1.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
10.9%
광 27
 
6.7%
부 26
 
6.4%
구 26
 
6.4%
산 26
 
6.4%
시 25
 
6.2%
역 25
 
6.2%
로 25
 
6.2%
번 20
 
5.0%
길 20
 
5.0%
Other values (47) 140
34.7%
Decimal Number
ValueCountFrequency (%)
2 26
20.2%
3 22
17.1%
1 17
13.2%
4 17
13.2%
9 14
10.9%
0 11
8.5%
7 11
8.5%
5 6
 
4.7%
8 4
 
3.1%
6 1
 
0.8%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
56.3%
Common 313
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
10.9%
광 27
 
6.7%
부 26
 
6.4%
구 26
 
6.4%
산 26
 
6.4%
시 25
 
6.2%
역 25
 
6.2%
로 25
 
6.2%
번 20
 
5.0%
길 20
 
5.0%
Other values (47) 140
34.7%
Common
ValueCountFrequency (%)
116
37.1%
2 26
 
8.3%
) 25
 
8.0%
( 25
 
8.0%
3 22
 
7.0%
1 17
 
5.4%
4 17
 
5.4%
9 14
 
4.5%
, 12
 
3.8%
0 11
 
3.5%
Other values (5) 28
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
56.3%
ASCII 313
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
37.1%
2 26
 
8.3%
) 25
 
8.0%
( 25
 
8.0%
3 22
 
7.0%
1 17
 
5.4%
4 17
 
5.4%
9 14
 
4.5%
, 12
 
3.8%
0 11
 
3.5%
Other values (5) 28
 
8.9%
Hangul
ValueCountFrequency (%)
동 44
 
10.9%
광 27
 
6.7%
부 26
 
6.4%
구 26
 
6.4%
산 26
 
6.4%
시 25
 
6.2%
역 25
 
6.2%
로 25
 
6.2%
번 20
 
5.0%
길 20
 
5.0%
Other values (47) 140
34.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing13
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean235519.33
Minimum48106
Maximum612821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:26.374505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48106
5-th percentile48456.9
Q148816
median48816
Q3603834.25
95-th percentile612271.55
Maximum612821
Range564715
Interquartile range (IQR)555018.25

Descriptive statistics

Standard deviation275905.59
Coefficient of variation (CV)1.1714775
Kurtosis-1.6487372
Mean235519.33
Median Absolute Deviation (MAD)118
Skewness0.81272615
Sum2826232
Variance7.6123895 × 1010
MonotonicityNot monotonic
2024-04-16T12:15:26.670531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
48816 5
 
20.0%
48980 1
 
4.0%
48744 1
 
4.0%
601829 1
 
4.0%
612821 1
 
4.0%
48106 1
 
4.0%
609850 1
 
4.0%
611822 1
 
4.0%
(Missing) 13
52.0%
ValueCountFrequency (%)
48106 1
 
4.0%
48744 1
 
4.0%
48816 5
20.0%
48980 1
 
4.0%
601829 1
 
4.0%
609850 1
 
4.0%
611822 1
 
4.0%
612821 1
 
4.0%
ValueCountFrequency (%)
612821 1
 
4.0%
611822 1
 
4.0%
609850 1
 
4.0%
601829 1
 
4.0%
48980 1
 
4.0%
48816 5
20.0%
48744 1
 
4.0%
48106 1
 
4.0%

사업장명
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-16T12:15:26.824462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length4.52
Min length2

Characters and Unicode

Total characters113
Distinct characters60
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row하바나라이브하우스
2nd row해운대라이브클럽
3rd row바이킹클럽
4th row아테네클럽
5th row인터내셔냘바
ValueCountFrequency (%)
파라다이스 2
 
7.7%
마닐라 2
 
7.7%
하바나라이브하우스 1
 
3.8%
런던 1
 
3.8%
미수다 1
 
3.8%
맨하탄나이트 1
 
3.8%
관광클럽 1
 
3.8%
원세라돈 1
 
3.8%
모니카 1
 
3.8%
킹스 1
 
3.8%
Other values (14) 14
53.8%
2024-04-16T12:15:27.107356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
8.8%
라 9
 
8.0%
스 7
 
6.2%
바 5
 
4.4%
럽 5
 
4.4%
나 4
 
3.5%
하 4
 
3.5%
클 4
 
3.5%
다 3
 
2.7%
마 3
 
2.7%
Other values (50) 59
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
99.1%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
8.9%
라 9
 
8.0%
스 7
 
6.2%
바 5
 
4.5%
럽 5
 
4.5%
나 4
 
3.6%
하 4
 
3.6%
클 4
 
3.6%
다 3
 
2.7%
마 3
 
2.7%
Other values (49) 58
51.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
8.9%
라 9
 
8.0%
스 7
 
6.2%
바 5
 
4.5%
럽 5
 
4.5%
나 4
 
3.6%
하 4
 
3.6%
클 4
 
3.6%
다 3
 
2.7%
마 3
 
2.7%
Other values (49) 58
51.8%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 10
 
8.9%
라 9
 
8.0%
스 7
 
6.2%
바 5
 
4.5%
럽 5
 
4.5%
나 4
 
3.6%
하 4
 
3.6%
클 4
 
3.6%
다 3
 
2.7%
마 3
 
2.7%
Other values (49) 58
51.8%
ASCII
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148276 × 1013
Minimum2.0051116 × 1013
Maximum2.0190723 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:27.217827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0051116 × 1013
5-th percentile2.0102777 × 1013
Q12.0130402 × 1013
median2.015071 × 1013
Q32.0170623 × 1013
95-th percentile2.0190708 × 1013
Maximum2.0190723 × 1013
Range1.3960696 × 1011
Interquartile range (IQR)4.0221031 × 1010

Descriptive statistics

Standard deviation3.2771668 × 1010
Coefficient of variation (CV)0.0016265247
Kurtosis1.7872643
Mean2.0148276 × 1013
Median Absolute Deviation (MAD)2.0307971 × 1010
Skewness-1.0308268
Sum5.037069 × 1014
Variance1.0739822 × 1021
MonotonicityNot monotonic
2024-04-16T12:15:27.325150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20110615111717 1
 
4.0%
20170215115617 1
 
4.0%
20051116132936 1
 
4.0%
20130402132821 1
 
4.0%
20151216150958 1
 
4.0%
20190703095203 1
 
4.0%
20140611174534 1
 
4.0%
20161123150841 1
 
4.0%
20180118165656 1
 
4.0%
20151228172215 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
20051116132936 1
4.0%
20100914142227 1
4.0%
20110228100512 1
4.0%
20110615111717 1
4.0%
20130111100659 1
4.0%
20130111101508 1
4.0%
20130402132821 1
4.0%
20131202115220 1
4.0%
20140611174534 1
4.0%
20140627102440 1
4.0%
ValueCountFrequency (%)
20190723095633 1
4.0%
20190709170553 1
4.0%
20190703095203 1
4.0%
20180723102340 1
4.0%
20180221140431 1
4.0%
20180118165656 1
4.0%
20170623163914 1
4.0%
20170215115617 1
4.0%
20161226104122 1
4.0%
20161123150841 1
4.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
22 
U
3 

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 22
88.0%
U 3
 
12.0%

Length

2024-04-16T12:15:27.436736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:27.515362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
88.0%
u 3
 
12.0%

데이터갱신일자
Date

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2019-07-25 02:40:00
2024-04-16T12:15:27.577003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T12:15:27.658011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(x)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386965.83
Minimum380625.39
Maximum398174.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:27.748847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380625.39
5-th percentile384779.95
Q1385796.29
median385867.18
Q3385882.8
95-th percentile395779.07
Maximum398174.62
Range17549.233
Interquartile range (IQR)86.5132

Descriptive statistics

Standard deviation3672.3921
Coefficient of variation (CV)0.0094902233
Kurtosis4.6104654
Mean386965.83
Median Absolute Deviation (MAD)70.894914
Skewness2.0011752
Sum9674145.7
Variance13486464
MonotonicityNot monotonic
2024-04-16T12:15:27.856968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
385881.692762979 3
 
12.0%
385796.285696908 3
 
12.0%
385843.631934651 2
 
8.0%
385867.44613985 1
 
4.0%
380625.391364589 1
 
4.0%
389661.805902912 1
 
4.0%
391898.139086054 1
 
4.0%
398174.624215816 1
 
4.0%
396749.296703945 1
 
4.0%
385825.354344479 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
380625.391364589 1
 
4.0%
384664.149882792 1
 
4.0%
385243.158543667 1
 
4.0%
385730.185688879 1
 
4.0%
385789.988329877 1
 
4.0%
385796.285696908 3
12.0%
385825.354344479 1
 
4.0%
385843.631934651 2
8.0%
385856.654811212 1
 
4.0%
385867.180611189 1
 
4.0%
ValueCountFrequency (%)
398174.624215816 1
 
4.0%
396749.296703945 1
 
4.0%
391898.139086054 1
 
4.0%
389661.805902912 1
 
4.0%
387823.717928121 1
 
4.0%
385894.051691801 1
 
4.0%
385882.798896636 1
 
4.0%
385881.692762979 3
12.0%
385870.52904426 1
 
4.0%
385867.44613985 1
 
4.0%

좌표정보(y)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182909.08
Minimum179580.3
Maximum192600.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:27.956571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179580.3
5-th percentile179922.38
Q1181487.13
median181579.74
Q3181617.24
95-th percentile189139.66
Maximum192600.56
Range13020.266
Interquartile range (IQR)130.10769

Descriptive statistics

Standard deviation3198.1885
Coefficient of variation (CV)0.017485127
Kurtosis2.7211724
Mean182909.08
Median Absolute Deviation (MAD)92.604105
Skewness1.8092392
Sum4572727.1
Variance10228410
MonotonicityNot monotonic
2024-04-16T12:15:28.058347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
181600.35569243 3
 
12.0%
181487.133649002 3
 
12.0%
181550.096766175 2
 
8.0%
181579.737753923 1
 
4.0%
186530.255912963 1
 
4.0%
189409.714058802 1
 
4.0%
192600.561280462 1
 
4.0%
188059.461989621 1
 
4.0%
186683.351832463 1
 
4.0%
181474.802526519 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
179580.295176299 1
 
4.0%
179582.676484563 1
 
4.0%
181281.204951551 1
 
4.0%
181474.802526519 1
 
4.0%
181487.133649002 3
12.0%
181544.04949419 1
 
4.0%
181550.096766175 2
8.0%
181565.960748083 1
 
4.0%
181577.376398847 1
 
4.0%
181579.737753923 1
 
4.0%
ValueCountFrequency (%)
192600.561280462 1
 
4.0%
189409.714058802 1
 
4.0%
188059.461989621 1
 
4.0%
186683.351832463 1
 
4.0%
186530.255912963 1
 
4.0%
184076.481374503 1
 
4.0%
181617.241335137 1
 
4.0%
181607.646741726 1
 
4.0%
181600.35569243 3
12.0%
181593.63363095 1
 
4.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
외국인전용유흥음식점업
25 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인전용유흥음식점업 25
100.0%

Length

2024-04-16T12:15:28.162417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:28.243763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 25
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
15 
관광사업
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
60.0%
관광사업 10
40.0%

Length

2024-04-16T12:15:28.322633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:28.404049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
60.0%
관광사업 10
40.0%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing22
Missing (%)88.0%
Memory size332.0 B
2024-04-16T12:15:28.501919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18
Distinct characters8
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 (%)33.3%

Sample

1st row일반상업지역
2nd row중심상업지역
3rd row일반상업지역
ValueCountFrequency (%)
일반상업지역 2
66.7%
중심상업지역 1
33.3%
2024-04-16T12:15:28.728188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 3
16.7%
업 3
16.7%
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
중 1
 
5.6%
심 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 3
16.7%
업 3
16.7%
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
중 1
 
5.6%
심 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 3
16.7%
업 3
16.7%
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
중 1
 
5.6%
심 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 3
16.7%
업 3
16.7%
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
중 1
 
5.6%
심 1
 
5.6%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
6 1
 
4.0%
4 1
 
4.0%

Length

2024-04-16T12:15:28.840790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:28.930159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
6 1
 
4.0%
4 1
 
4.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size332.0 B
2024-04-16T12:15:29.043312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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 row유흥업소밀집지역
ValueCountFrequency (%)
유흥업소밀집지역 1
100.0%
2024-04-16T12:15:29.266009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size332.0 B
2024-04-16T12:15:29.383089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-04-16T12:15:29.593776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
6 1
 
4.0%
4 1
 
4.0%

Length

2024-04-16T12:15:29.702676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:29.783722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
6 1
 
4.0%
4 1
 
4.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
1
 
2

Length

Max length4
Median length4
Mean length3.76
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> 23
92.0%
1 2
 
8.0%

Length

2024-04-16T12:15:29.876686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:29.961184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
1 2
 
8.0%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영문상호명
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing16
Missing (%)64.0%
Memory size332.0 B
2024-04-16T12:15:30.077459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.1111111
Min length5

Characters and Unicode

Total characters73
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowANGELES
2nd rowBAIKAL
3rd rowMANILA
4th rowBORACAY
5th rowdffff
ValueCountFrequency (%)
angeles 1
9.1%
baikal 1
9.1%
manila 1
9.1%
boracay 1
9.1%
dffff 1
9.1%
kings 1
9.1%
monika 1
9.1%
manhattan 1
9.1%
night 1
9.1%
utopia 1
9.1%
2024-04-16T12:15:30.332904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 11
 
15.1%
N 7
 
9.6%
I 4
 
5.5%
f 4
 
5.5%
T 3
 
4.1%
M 3
 
4.1%
K 3
 
4.1%
i 3
 
4.1%
L 3
 
4.1%
B 2
 
2.7%
Other values (22) 30
41.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 50
68.5%
Lowercase Letter 21
28.8%
Space Separator 2
 
2.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 11
22.0%
N 7
14.0%
I 4
 
8.0%
T 3
 
6.0%
M 3
 
6.0%
K 3
 
6.0%
L 3
 
6.0%
B 2
 
4.0%
G 2
 
4.0%
E 2
 
4.0%
Other values (7) 10
20.0%
Lowercase Letter
ValueCountFrequency (%)
f 4
19.0%
i 3
14.3%
t 2
9.5%
g 2
9.5%
d 1
 
4.8%
n 1
 
4.8%
s 1
 
4.8%
o 1
 
4.8%
p 1
 
4.8%
a 1
 
4.8%
Other values (4) 4
19.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 71
97.3%
Common 2
 
2.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 11
 
15.5%
N 7
 
9.9%
I 4
 
5.6%
f 4
 
5.6%
T 3
 
4.2%
M 3
 
4.2%
K 3
 
4.2%
i 3
 
4.2%
L 3
 
4.2%
B 2
 
2.8%
Other values (21) 28
39.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 11
 
15.1%
N 7
 
9.6%
I 4
 
5.5%
f 4
 
5.5%
T 3
 
4.1%
M 3
 
4.1%
K 3
 
4.1%
i 3
 
4.1%
L 3
 
4.1%
B 2
 
2.7%
Other values (22) 30
41.1%

영문상호주소
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing18
Missing (%)72.0%
Memory size332.0 B
2024-04-16T12:15:30.461375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length36.571429
Min length33

Characters and Unicode

Total characters256
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st rowA PLEASURE RESTAURANT FOR A FOREIGNER
2nd rowA pleasure restaurant for a foreigner
3rd rowA PLEASURE RESTAURANT FOR A FOREIGNER
4th rowA PLEASURE RESTAURANT FOR A FOREIGNER
5th rowA pleasure restaurant for a foreigner
ValueCountFrequency (%)
a 12
29.3%
pleasure 6
14.6%
restaurant 6
14.6%
for 6
14.6%
foreigner 6
14.6%
amusement 1
 
2.4%
spot 1
 
2.4%
of 1
 
2.4%
foreigners 1
 
2.4%
only 1
 
2.4%
2024-04-16T12:15:30.687760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
13.3%
R 24
 
9.4%
A 23
 
9.0%
E 20
 
7.8%
r 14
 
5.5%
e 14
 
5.5%
F 8
 
3.1%
a 8
 
3.1%
O 8
 
3.1%
o 8
 
3.1%
Other values (20) 95
37.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 131
51.2%
Lowercase Letter 90
35.2%
Space Separator 34
 
13.3%
Control 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 14
15.6%
e 14
15.6%
a 8
8.9%
o 8
8.9%
s 7
7.8%
n 7
7.8%
t 6
6.7%
f 6
6.7%
u 5
 
5.6%
i 3
 
3.3%
Other values (5) 12
13.3%
Uppercase Letter
ValueCountFrequency (%)
R 24
18.3%
A 23
17.6%
E 20
15.3%
F 8
 
6.1%
O 8
 
6.1%
N 8
 
6.1%
T 8
 
6.1%
U 8
 
6.1%
S 8
 
6.1%
G 4
 
3.1%
Other values (3) 12
9.2%
Space Separator
ValueCountFrequency (%)
34
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 221
86.3%
Common 35
 
13.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 24
 
10.9%
A 23
 
10.4%
E 20
 
9.0%
r 14
 
6.3%
e 14
 
6.3%
F 8
 
3.6%
a 8
 
3.6%
O 8
 
3.6%
o 8
 
3.6%
N 8
 
3.6%
Other values (18) 86
38.9%
Common
ValueCountFrequency (%)
34
97.1%
1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
 
13.3%
R 24
 
9.4%
A 23
 
9.0%
E 20
 
7.8%
r 14
 
5.5%
e 14
 
5.5%
F 8
 
3.1%
a 8
 
3.1%
O 8
 
3.1%
o 8
 
3.1%
Other values (20) 95
37.1%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean205.56286
Minimum109
Maximum418.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:30.784939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile109.078
Q1122.13
median192.03
Q3237.5
95-th percentile374.055
Maximum418.65
Range309.65
Interquartile range (IQR)115.37

Descriptive statistics

Standard deviation110.54371
Coefficient of variation (CV)0.53776112
Kurtosis1.715143
Mean205.56286
Median Absolute Deviation (MAD)77.97
Skewness1.3465675
Sum1438.94
Variance12219.912
MonotonicityNot monotonic
2024-04-16T12:15:30.877194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
109.0 1
 
4.0%
205.0 1
 
4.0%
109.26 1
 
4.0%
135.0 1
 
4.0%
192.03 1
 
4.0%
418.65 1
 
4.0%
270.0 1
 
4.0%
(Missing) 18
72.0%
ValueCountFrequency (%)
109.0 1
4.0%
109.26 1
4.0%
135.0 1
4.0%
192.03 1
4.0%
205.0 1
4.0%
270.0 1
4.0%
418.65 1
4.0%
ValueCountFrequency (%)
418.65 1
4.0%
270.0 1
4.0%
205.0 1
4.0%
192.03 1
4.0%
135.0 1
4.0%
109.26 1
4.0%
109.0 1
4.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

자본금
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
19 
50000000
3 
70000000
 
1
60000000
 
1
20000000
 
1

Length

Max length8
Median length4
Mean length4.96
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row50000000
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
76.0%
50000000 3
 
12.0%
70000000 1
 
4.0%
60000000 1
 
4.0%
20000000 1
 
4.0%

Length

2024-04-16T12:15:30.996619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:15:31.091658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
76.0%
50000000 3
 
12.0%
70000000 1
 
4.0%
60000000 1
 
4.0%
20000000 1
 
4.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing18
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean205.57143
Minimum109
Maximum419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-16T12:15:31.172982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile109
Q1122
median192
Q3237.5
95-th percentile374.3
Maximum419
Range310
Interquartile range (IQR)115.5

Descriptive statistics

Standard deviation110.69456
Coefficient of variation (CV)0.5384725
Kurtosis1.7207081
Mean205.57143
Median Absolute Deviation (MAD)78
Skewness1.3477092
Sum1439
Variance12253.286
MonotonicityNot monotonic
2024-04-16T12:15:31.258298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
109 2
 
8.0%
205 1
 
4.0%
135 1
 
4.0%
192 1
 
4.0%
419 1
 
4.0%
270 1
 
4.0%
(Missing) 18
72.0%
ValueCountFrequency (%)
109 2
8.0%
135 1
4.0%
192 1
4.0%
205 1
4.0%
270 1
4.0%
419 1
4.0%
ValueCountFrequency (%)
419 1
4.0%
270 1
4.0%
205 1
4.0%
192 1
4.0%
135 1
4.0%
109 2
8.0%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01외국인전용유흥음식점업07_24_03_P3250000CDFI326103200700000120070119<NA>3폐업3폐업20110615<NA><NA><NA>244-2258<NA>600042부산광역시 중구 남포동2가 25-10번지 쏠레마빌딩 901호부산광역시 중구 구덕로34번길 4, 901호 (남포동2가,쏠레마빌딩)<NA>하바나라이브하우스20110615111717I2018-08-31 23:59:59.0<NA>385243.158544179580.295176외국인전용유흥음식점업관광사업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12외국인전용유흥음식점업07_24_03_P3250000CDFI326103201600000120161004<NA>3폐업3폐업20170215<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 39-1번지부산광역시 중구 비프광장로 7, 4층 (부평동2가)48980해운대라이브클럽20170215115617I2018-08-31 23:59:59.0<NA>384664.149883179582.676485외국인전용유흥음식점업<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><NA><NA><NA><NA>50000000<NA><NA><NA><NA><NA>
23외국인전용유흥음식점업07_24_03_P3270000CDFI326103201000000220101012<NA>3폐업3폐업20160824<NA><NA><NA><NA><NA>601829부산광역시 동구 초량동 483번지 2층부산광역시 동구 대영로243번길 105 (초량동,2층)<NA>바이킹클럽20161226104122I2018-08-31 23:59:59.0<NA>385894.051692181617.241335외국인전용유흥음식점업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34외국인전용유흥음식점업07_24_03_P3270000CDFI326103201500000120150626<NA>3폐업3폐업20180214<NA><NA><NA>051-639-7677<NA>601807부산광역시 동구 범일동 830-62번지부산광역시 동구 범일로90번길 17 (범일동)48744아테네클럽20180221140431I2018-08-31 23:59:59.0<NA>387823.717928184076.481375외국인전용유흥음식점업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45외국인전용유흥음식점업07_24_03_P3270000CDFI326103200800000120081216<NA>1영업/정상13영업중<NA><NA><NA><NA>051-464-9894<NA>601830부산광역시 동구 초량동 611번지부산광역시 동구 중앙대로179번길 11 (초량동)<NA>인터내셔냘바20150710104013I2018-08-31 23:59:59.0<NA>385730.185689181281.204952외국인전용유흥음식점업관광사업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56외국인전용유흥음식점업07_24_03_P3270000CDFI326103201000000120100914<NA>1영업/정상13영업중<NA><NA><NA><NA>467-3604<NA>601829부산광역시 동구 초량동 465-20번지 1층부산광역시 동구 중앙대로209번길 22 (초량동,1층)<NA>파라다이스20100914142227I2018-08-31 23:59:59.0<NA>385789.98833181607.646742외국인전용유흥음식점업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67외국인전용유흥음식점업07_24_03_P3270000CDFI326103201000000320101109<NA>1영업/정상13영업중<NA><NA><NA><NA>467-3604<NA>601829부산광역시 동구 초량동 486-2번지 1층부산광역시 동구 대영로243번길 101 (초량동)48816엔젤레스20131202115220I2018-08-31 23:59:59.0<NA>385881.692763181600.355692외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>ANGELESA PLEASURE RESTAURANT FOR A FOREIGNER<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA><NA>
78외국인전용유흥음식점업07_24_03_P3270000CDFI326103201100000120110609<NA>1영업/정상13영업중<NA><NA><NA><NA>051-467-3604<NA>601829부산광역시 동구 초량동 489-3번지부산광역시 동구 중앙대로209번길 8 (초량동)48816마이애미20140627102440I2018-08-31 23:59:59.0<NA>385856.654811181577.376399외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>109.0<NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>109<NA>
89외국인전용유흥음식점업07_24_03_P3270000CDFI326103198000000119801004<NA>1영업/정상13영업중<NA><NA><NA><NA>051-441-2247<NA>601829부산광역시 동구 초량동 488-1번지부산광역시 동구 대영로243번길 99 (초량동)<NA>바이칼20180723102340I2018-08-31 23:59:59.0<NA>385870.529044181593.633631외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>BAIKALA pleasure restaurant for a foreigner<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910외국인전용유흥음식점업07_24_03_P3270000CDFI326103198400000119840101<NA>1영업/정상13영업중<NA><NA><NA><NA>467-7381<NA>601840부산광역시 동구 초량동 1207-8번지부산광역시 동구 중앙대로209번길 2 (초량동)<NA>오숀20130111100659I2018-08-31 23:59:59.0<NA>385882.798897181565.960748외국인전용유흥음식점업관광사업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
1516외국인전용유흥음식점업07_24_03_P3270000CDFI326103200100000220010906<NA>1영업/정상13영업중<NA><NA><NA><NA>469-6745<NA>601840부산광역시 동구 초량동 1208-14번지부산광역시 동구 대영로243번길 74 (초량동)<NA>하바나20190723095633U2019-07-25 02:40:00.0<NA>385825.354344181474.802527외국인전용유흥음식점업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1617외국인전용유흥음식점업07_24_03_P3270000CDFI326103200200000120021021<NA>1영업/정상13영업중<NA><NA><NA><NA>051-468-0091<NA>601829부산광역시 동구 초량동 486-2번지부산광역시 동구 대영로243번길 101 (초량동)<NA>파라다이스20110228100512I2018-08-31 23:59:59.0<NA>385881.692763181600.355692외국인전용유흥음식점업관광사업<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><NA><NA><NA>70000000<NA><NA><NA><NA><NA>
1718외국인전용유흥음식점업07_24_03_P3270000CDFI326103201500000220151217<NA>1영업/정상13영업중<NA><NA><NA><NA>051-467-3604<NA><NA>부산광역시 동구 초량동 500-1번지부산광역시 동구 대영로243번길 73-3, 2층 (초량동)48816발리20151228172215I2018-08-31 23:59:59.0<NA>385796.285697181487.133649외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>dffff<NA><NA><NA><NA><NA><NA><NA><NA>109.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>109<NA>
1819외국인전용유흥음식점업07_24_03_P3270000CDFI326103201800000120180118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 493번지부산광역시 동구 대영로243번길 89, 2층 (초량동)48816킹스20180118165656I2018-08-31 23:59:59.0<NA>385843.631935181550.096766외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>KingsA pleasure restaurant for a foreigner<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60000000<NA><NA><NA><NA><NA>
1920외국인전용유흥음식점업07_24_03_P3270000CDFI326103201300000220130710<NA>1영업/정상13영업중<NA><NA><NA><NA>467-3604<NA>601829부산광역시 동구 초량동 500-1번지부산광역시 동구 대영로243번길 73-3 (초량동)48816모니카20161123150841I2018-08-31 23:59:59.0<NA>385796.285697181487.133649외국인전용유흥음식점업<NA>일반상업지역6<NA><NA><NA><NA>61<NA><NA>MONIKAA PLEASURE RESTAURANT FOR A FOREIGNER<NA><NA><NA><NA><NA><NA><NA>135.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>135<NA>
2021외국인전용유흥음식점업07_24_03_P3330000CDFI326103201000000120100803<NA>3폐업3폐업20140611<NA><NA><NA><NA><NA>612021부산광역시 해운대구 우동 626-14 번지 스카이비치빌딩 3층부산광역시 해운대구 해운대로570번길 55, 3층 (우동, 스카이비치빌딩)612821마닐라20140611174534I2018-08-31 23:59:59.0<NA>396749.296704186683.351832외국인전용유흥음식점업<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2122외국인전용유흥음식점업07_24_03_P3330000CDFI326103201200000120120417<NA>3폐업3폐업20190702<NA><NA><NA><NA><NA>612031부산광역시 해운대구 좌동 1461-7번지 영진파스타 901-3호부산광역시 해운대구 세실로 87, 901-3호 (좌동, 영진파스타)48106원세라돈 관광클럽20190703095203U2019-07-05 02:40:00.0<NA>398174.624216188059.46199외국인전용유흥음식점업<NA>중심상업지역<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>192.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>192<NA>
2223외국인전용유흥음식점업07_24_03_P3350000CDFI326103201400000120141010<NA>3폐업3폐업20151216<NA><NA><NA>525-7988<NA>609850부산광역시 금정구 서동 207-8번지부산광역시 금정구 서동로 197-1 (서동)609850맨하탄나이트20151216150958I2018-08-31 23:59:59.0<NA>391898.139086192600.56128외국인전용유흥음식점업<NA>일반상업지역4유흥업소밀집지역<NA><NA><NA>41<NA><NA>MANHATTAN NIGHT<NA><NA><NA><NA><NA><NA><NA><NA>418.65<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>419<NA>
2324외국인전용유흥음식점업07_24_03_P3370000CDFI326103201200000120120928<NA>3폐업3폐업20130401<NA><NA><NA>852-7886<NA>611822부산광역시 연제구 연산동 729-10번지부산광역시 연제구 고분로 5, 5층 (연산동)611822미수다20130402132821I2018-08-31 23:59:59.0<NA>389661.805903189409.714059외국인전용유흥음식점업<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><NA><NA><NA><NA>20000000<NA><NA><NA><NA><NA>
2425외국인전용유흥음식점업07_24_03_P3390000CDFI326103200200000120021010<NA>3폐업3폐업20051115<NA><NA><NA>324-1003<NA>617809부산광역시 사상구 괘법동 559-7번지부산광역시 사상구 광장로 62 (괘법동)<NA>뉴토피아나이트크럽20051116132936I2018-08-31 23:59:59.0<NA>380625.391365186530.255913외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Utopia NightClubAmusement spot of foreigners only<NA><NA><NA><NA><NA><NA><NA>270.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>270<NA>