Overview

Dataset statistics

Number of variables64
Number of observations26
Missing cells744
Missing cells (%)44.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory563.1 B

Variable types

Numeric12
Categorical20
Text10
Unsupported21
DateTime1

Dataset

Description2023-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123121

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
총층수 is highly imbalanced (51.5%)Imbalance
지상층수 is highly imbalanced (51.5%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 16 (61.5%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
소재지전화 has 7 (26.9%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 13 (50.0%) missing valuesMissing
도로명우편번호 has 5 (19.2%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
지역구분명 has 23 (88.5%) missing valuesMissing
주변환경명 has 25 (96.2%) missing valuesMissing
제작취급품목내용 has 26 (100.0%) missing valuesMissing
보험기관명 has 26 (100.0%) missing valuesMissing
건물용도명 has 25 (96.2%) missing valuesMissing
영문상호명 has 16 (61.5%) missing valuesMissing
영문상호주소 has 18 (69.2%) missing valuesMissing
선박제원 has 26 (100.0%) missing valuesMissing
기념품종류 has 26 (100.0%) missing valuesMissing
시설면적 has 16 (61.5%) missing valuesMissing
놀이기구수내역 has 26 (100.0%) missing valuesMissing
방송시설유무 has 26 (100.0%) missing valuesMissing
발전시설유무 has 26 (100.0%) missing valuesMissing
의무실유무 has 26 (100.0%) missing valuesMissing
안내소유무 has 26 (100.0%) missing valuesMissing
기획여행보험시작일자 has 26 (100.0%) missing valuesMissing
기획여행보험종료일자 has 26 (100.0%) missing valuesMissing
자본금 has 18 (69.2%) missing valuesMissing
보험시작일자 has 26 (100.0%) missing valuesMissing
보험종료일자 has 26 (100.0%) missing valuesMissing
부대시설내역 has 26 (100.0%) missing valuesMissing
시설규모 has 16 (61.5%) missing valuesMissing
Unnamed: 63 has 26 (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
선박제원 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
놀이기구수내역 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
시설면적 has 3 (11.5%) zerosZeros
자본금 has 1 (3.8%) zerosZeros
시설규모 has 3 (11.5%) zerosZeros

Reproduction

Analysis started2024-04-16 03:10:43.433005
Analysis finished2024-04-16 03:10:43.938420
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:43.983893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-04-16T12:10:44.074225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
외국인전용유흥음식점업
26 

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 26
100.0%

Length

2024-04-16T12:10:44.163779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:44.232486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 26
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
07_24_03_P
26 

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 26
100.0%

Length

2024-04-16T12:10:44.305057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:44.373045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_03_p 26
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3284615.4
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:44.431489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3255000
Q13270000
median3270000
Q33270000
95-th percentile3365000
Maximum3390000
Range140000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36467.056
Coefficient of variation (CV)0.011102382
Kurtosis2.5573131
Mean3284615.4
Median Absolute Deviation (MAD)0
Skewness1.8917508
Sum85400000
Variance1.3298462 × 109
MonotonicityIncreasing
2024-04-16T12:10:44.510405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3270000 19
73.1%
3250000 2
 
7.7%
3330000 2
 
7.7%
3350000 1
 
3.8%
3370000 1
 
3.8%
3390000 1
 
3.8%
ValueCountFrequency (%)
3250000 2
 
7.7%
3270000 19
73.1%
3330000 2
 
7.7%
3350000 1
 
3.8%
3370000 1
 
3.8%
3390000 1
 
3.8%
ValueCountFrequency (%)
3390000 1
 
3.8%
3370000 1
 
3.8%
3350000 1
 
3.8%
3330000 2
 
7.7%
3270000 19
73.1%
3250000 2
 
7.7%

관리번호
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-16T12:10:44.662598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters520
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

Unique20 ?
Unique (%)76.9%

Sample

1st rowCDFI3261032007000001
2nd rowCDFI3261032016000001
3rd rowCDFI3261032010000002
4th rowCDFI3261032011000001
5th rowCDFI3261032015000001
ValueCountFrequency (%)
cdfi3261032012000001 2
 
7.7%
cdfi3261032010000001 2
 
7.7%
cdfi3261032002000001 2
 
7.7%
cdfi3261031989000001 1
 
3.8%
cdfi3261032007000001 1
 
3.8%
cdfi3261031989000002 1
 
3.8%
cdfi3261032022000001 1
 
3.8%
cdfi3261032013000002 1
 
3.8%
cdfi3261032018000001 1
 
3.8%
cdfi3261032015000002 1
 
3.8%
Other values (13) 13
50.0%
2024-04-16T12:10:44.920978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
36.5%
1 67
 
12.9%
2 58
 
11.2%
3 54
 
10.4%
6 28
 
5.4%
C 26
 
5.0%
D 26
 
5.0%
F 26
 
5.0%
I 26
 
5.0%
8 7
 
1.3%
Other values (4) 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
80.0%
Uppercase Letter 104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
45.7%
1 67
 
16.1%
2 58
 
13.9%
3 54
 
13.0%
6 28
 
6.7%
8 7
 
1.7%
9 7
 
1.7%
5 2
 
0.5%
4 2
 
0.5%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 26
25.0%
D 26
25.0%
F 26
25.0%
I 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
80.0%
Latin 104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
45.7%
1 67
 
16.1%
2 58
 
13.9%
3 54
 
13.0%
6 28
 
6.7%
8 7
 
1.7%
9 7
 
1.7%
5 2
 
0.5%
4 2
 
0.5%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
C 26
25.0%
D 26
25.0%
F 26
25.0%
I 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
36.5%
1 67
 
12.9%
2 58
 
11.2%
3 54
 
10.4%
6 28
 
5.4%
C 26
 
5.0%
D 26
 
5.0%
F 26
 
5.0%
I 26
 
5.0%
8 7
 
1.3%
Other values (4) 12
 
2.3%

인허가일자
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20053455
Minimum19801004
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:45.027973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19801004
5-th percentile19845180
Q120010315
median20100858
Q320128264
95-th percentile20175340
Maximum20221031
Range420027
Interquartile range (IQR)117949.5

Descriptive statistics

Standard deviation112898.67
Coefficient of variation (CV)0.0056298862
Kurtosis-0.12068736
Mean20053455
Median Absolute Deviation (MAD)55252
Skewness-0.89568709
Sum5.2138983 × 108
Variance1.2746109 × 1010
MonotonicityNot monotonic
2024-04-16T12:10:45.124106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
19890901 2
 
7.7%
20070119 1
 
3.8%
20010906 1
 
3.8%
20021010 1
 
3.8%
20120928 1
 
3.8%
20141010 1
 
3.8%
20120417 1
 
3.8%
20100803 1
 
3.8%
20221031 1
 
3.8%
20130710 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
19801004 1
3.8%
19840101 1
3.8%
19860417 1
3.8%
19890901 2
7.7%
20000608 1
3.8%
20010118 1
3.8%
20010906 1
3.8%
20021010 1
3.8%
20021021 1
3.8%
20070119 1
3.8%
ValueCountFrequency (%)
20221031 1
3.8%
20180118 1
3.8%
20161004 1
3.8%
20151217 1
3.8%
20150626 1
3.8%
20141010 1
3.8%
20130710 1
3.8%
20120928 1
3.8%
20120417 1
3.8%
20110609 1
3.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
16 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
61.5%
3 10
38.5%

Length

2024-04-16T12:10:45.219906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:45.294054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
61.5%
3 10
38.5%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
16 
폐업
10 

Length

Max length5
Median length5
Mean length3.8461538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
61.5%
폐업 10
38.5%

Length

2024-04-16T12:10:45.375306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:45.454107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
61.5%
폐업 10
38.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
13
16 
3
10 

Length

Max length2
Median length2
Mean length1.6153846
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 16
61.5%
3 10
38.5%

Length

2024-04-16T12:10:45.534810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:45.610818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
61.5%
3 10
38.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업중
16 
폐업
10 

Length

Max length3
Median length3
Mean length2.6153846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
61.5%
폐업 10
38.5%

Length

2024-04-16T12:10:45.717261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:45.803016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
61.5%
폐업 10
38.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing16
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean20149652
Minimum20051115
Maximum20210611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:45.872622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051115
5-th percentile20077890
Q120132954
median20156020
Q320177714
95-th percentile20201652
Maximum20210611
Range159496
Interquartile range (IQR)44760.75

Descriptive statistics

Standard deviation45425.156
Coefficient of variation (CV)0.0022543891
Kurtosis1.5277796
Mean20149652
Median Absolute Deviation (MAD)24906.5
Skewness-1.0221138
Sum2.0149652 × 108
Variance2.0634448 × 109
MonotonicityNot monotonic
2024-04-16T12:10:45.959071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20110615 1
 
3.8%
20170215 1
 
3.8%
20160824 1
 
3.8%
20210611 1
 
3.8%
20180214 1
 
3.8%
20140611 1
 
3.8%
20190702 1
 
3.8%
20151216 1
 
3.8%
20130401 1
 
3.8%
20051115 1
 
3.8%
(Missing) 16
61.5%
ValueCountFrequency (%)
20051115 1
3.8%
20110615 1
3.8%
20130401 1
3.8%
20140611 1
3.8%
20151216 1
3.8%
20160824 1
3.8%
20170215 1
3.8%
20180214 1
3.8%
20190702 1
3.8%
20210611 1
3.8%
ValueCountFrequency (%)
20210611 1
3.8%
20190702 1
3.8%
20180214 1
3.8%
20170215 1
3.8%
20160824 1
3.8%
20151216 1
3.8%
20140611 1
3.8%
20130401 1
3.8%
20110615 1
3.8%
20051115 1
3.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지전화
Text

MISSING 

Distinct13
Distinct (%)68.4%
Missing7
Missing (%)26.9%
Memory size340.0 B
2024-04-16T12:10:46.084525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.157895
Min length8

Characters and Unicode

Total characters212
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

Unique12 ?
Unique (%)63.2%

Sample

1st row244-2258
2nd row051-467-3604
3rd row051-639-7677
4th row051-464-9894
5th row051-467-3604
ValueCountFrequency (%)
051-467-3604 7
36.8%
244-2258 1
 
5.3%
051-639-7677 1
 
5.3%
051-464-9894 1
 
5.3%
051-441-2247 1
 
5.3%
051-467-7381 1
 
5.3%
051-467-0600 1
 
5.3%
051-468-7090 1
 
5.3%
051-469-6745 1
 
5.3%
051-468-0091 1
 
5.3%
Other values (3) 3
15.8%
2024-04-16T12:10:46.324558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 34
16.0%
0 31
14.6%
4 29
13.7%
6 25
11.8%
5 20
9.4%
1 19
9.0%
7 18
8.5%
3 11
 
5.2%
8 10
 
4.7%
2 8
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 178
84.0%
Dash Punctuation 34
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
17.4%
4 29
16.3%
6 25
14.0%
5 20
11.2%
1 19
10.7%
7 18
10.1%
3 11
 
6.2%
8 10
 
5.6%
2 8
 
4.5%
9 7
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 34
16.0%
0 31
14.6%
4 29
13.7%
6 25
11.8%
5 20
9.4%
1 19
9.0%
7 18
8.5%
3 11
 
5.2%
8 10
 
4.7%
2 8
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 34
16.0%
0 31
14.6%
4 29
13.7%
6 25
11.8%
5 20
9.4%
1 19
9.0%
7 18
8.5%
3 11
 
5.2%
8 10
 
4.7%
2 8
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)69.2%
Missing13
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean605873.62
Minimum600042
Maximum617809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:46.415763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600042
5-th percentile601101
Q1601829
median601829
Q3611822
95-th percentile614342.2
Maximum617809
Range17767
Interquartile range (IQR)9993

Descriptive statistics

Standard deviation5902.2774
Coefficient of variation (CV)0.0097417633
Kurtosis-0.78072134
Mean605873.62
Median Absolute Deviation (MAD)22
Skewness0.85105107
Sum7876357
Variance34836878
MonotonicityNot monotonic
2024-04-16T12:10:46.497288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
601829 5
 
19.2%
600042 1
 
3.8%
601807 1
 
3.8%
601830 1
 
3.8%
612021 1
 
3.8%
612031 1
 
3.8%
609850 1
 
3.8%
611822 1
 
3.8%
617809 1
 
3.8%
(Missing) 13
50.0%
ValueCountFrequency (%)
600042 1
 
3.8%
601807 1
 
3.8%
601829 5
19.2%
601830 1
 
3.8%
609850 1
 
3.8%
611822 1
 
3.8%
612021 1
 
3.8%
612031 1
 
3.8%
617809 1
 
3.8%
ValueCountFrequency (%)
617809 1
 
3.8%
612031 1
 
3.8%
612021 1
 
3.8%
611822 1
 
3.8%
609850 1
 
3.8%
601830 1
 
3.8%
601829 5
19.2%
601807 1
 
3.8%
600042 1
 
3.8%

소재지전체주소
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-16T12:10:46.655571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length20.730769
Min length16

Characters and Unicode

Total characters539
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

Unique21 ?
Unique (%)80.8%

Sample

1st row부산광역시 중구 남포동2가 25-10번지 쏠레마빌딩 901호
2nd row부산광역시 중구 부평동2가 39-1번지
3rd row부산광역시 동구 초량동 483번지 2층
4th row부산광역시 동구 초량동 489-3
5th row부산광역시 동구 범일동 830-62번지
ValueCountFrequency (%)
부산광역시 26
23.0%
동구 19
16.8%
초량동 18
15.9%
500-1 3
 
2.7%
486-2 3
 
2.7%
해운대구 2
 
1.8%
중구 2
 
1.8%
부평동2가 1
 
0.9%
연제구 1
 
0.9%
좌동 1
 
0.9%
Other values (37) 37
32.7%
2024-04-16T12:10:46.931919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
16.1%
동 45
 
8.3%
부 27
 
5.0%
산 27
 
5.0%
광 26
 
4.8%
역 26
 
4.8%
시 26
 
4.8%
구 26
 
4.8%
- 22
 
4.1%
1 21
 
3.9%
Other values (50) 206
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
57.5%
Decimal Number 120
 
22.3%
Space Separator 87
 
16.1%
Dash Punctuation 22
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
14.5%
부 27
8.7%
산 27
8.7%
광 26
8.4%
역 26
8.4%
시 26
8.4%
구 26
8.4%
초 18
 
5.8%
량 18
 
5.8%
번 11
 
3.5%
Other values (38) 60
19.4%
Decimal Number
ValueCountFrequency (%)
1 21
17.5%
0 16
13.3%
2 15
12.5%
4 14
11.7%
8 13
10.8%
6 10
8.3%
3 9
7.5%
9 9
7.5%
5 7
 
5.8%
7 6
 
5.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
57.5%
Common 229
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
14.5%
부 27
8.7%
산 27
8.7%
광 26
8.4%
역 26
8.4%
시 26
8.4%
구 26
8.4%
초 18
 
5.8%
량 18
 
5.8%
번 11
 
3.5%
Other values (38) 60
19.4%
Common
ValueCountFrequency (%)
87
38.0%
- 22
 
9.6%
1 21
 
9.2%
0 16
 
7.0%
2 15
 
6.6%
4 14
 
6.1%
8 13
 
5.7%
6 10
 
4.4%
3 9
 
3.9%
9 9
 
3.9%
Other values (2) 13
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
57.5%
ASCII 229
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
38.0%
- 22
 
9.6%
1 21
 
9.2%
0 16
 
7.0%
2 15
 
6.6%
4 14
 
6.1%
8 13
 
5.7%
6 10
 
4.4%
3 9
 
3.9%
9 9
 
3.9%
Other values (2) 13
 
5.7%
Hangul
ValueCountFrequency (%)
동 45
14.5%
부 27
8.7%
산 27
8.7%
광 26
8.4%
역 26
8.4%
시 26
8.4%
구 26
8.4%
초 18
 
5.8%
량 18
 
5.8%
번 11
 
3.5%
Other values (38) 60
19.4%

도로명전체주소
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-16T12:10:47.115395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length28.615385
Min length23

Characters and Unicode

Total characters744
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 (%)80.8%

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 중앙대로209번길 8 (초량동)
5th row부산광역시 동구 범일로90번길 17 (범일동)
ValueCountFrequency (%)
부산광역시 26
18.4%
동구 19
 
13.5%
초량동 17
 
12.1%
대영로243번길 14
 
9.9%
중앙대로209번길 3
 
2.1%
101 3
 
2.1%
73-3 3
 
2.1%
2층 3
 
2.1%
중구 2
 
1.4%
해운대구 2
 
1.4%
Other values (48) 49
34.8%
2024-04-16T12:10:47.441175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
15.7%
동 46
 
6.2%
광 28
 
3.8%
2 28
 
3.8%
부 27
 
3.6%
구 27
 
3.6%
산 27
 
3.6%
( 26
 
3.5%
역 26
 
3.5%
시 26
 
3.5%
Other values (62) 366
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
56.5%
Decimal Number 136
 
18.3%
Space Separator 117
 
15.7%
Open Punctuation 26
 
3.5%
Close Punctuation 26
 
3.5%
Other Punctuation 13
 
1.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
 
11.0%
광 28
 
6.7%
부 27
 
6.4%
구 27
 
6.4%
산 27
 
6.4%
역 26
 
6.2%
시 26
 
6.2%
로 26
 
6.2%
번 21
 
5.0%
길 21
 
5.0%
Other values (47) 145
34.5%
Decimal Number
ValueCountFrequency (%)
2 28
20.6%
3 23
16.9%
1 18
13.2%
4 18
13.2%
9 14
10.3%
0 12
8.8%
7 11
 
8.1%
5 7
 
5.1%
8 4
 
2.9%
6 1
 
0.7%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 420
56.5%
Common 324
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
 
11.0%
광 28
 
6.7%
부 27
 
6.4%
구 27
 
6.4%
산 27
 
6.4%
역 26
 
6.2%
시 26
 
6.2%
로 26
 
6.2%
번 21
 
5.0%
길 21
 
5.0%
Other values (47) 145
34.5%
Common
ValueCountFrequency (%)
117
36.1%
2 28
 
8.6%
( 26
 
8.0%
) 26
 
8.0%
3 23
 
7.1%
1 18
 
5.6%
4 18
 
5.6%
9 14
 
4.3%
, 13
 
4.0%
0 12
 
3.7%
Other values (5) 29
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
56.5%
ASCII 324
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
36.1%
2 28
 
8.6%
( 26
 
8.0%
) 26
 
8.0%
3 23
 
7.1%
1 18
 
5.6%
4 18
 
5.6%
9 14
 
4.3%
, 13
 
4.0%
0 12
 
3.7%
Other values (5) 29
 
9.0%
Hangul
ValueCountFrequency (%)
동 46
 
11.0%
광 28
 
6.7%
부 27
 
6.4%
구 27
 
6.4%
산 27
 
6.4%
역 26
 
6.2%
시 26
 
6.2%
로 26
 
6.2%
번 21
 
5.0%
길 21
 
5.0%
Other values (47) 145
34.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)33.3%
Missing5
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean129169.67
Minimum48106
Maximum612821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:47.529817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48106
5-th percentile48744
Q148816
median48816
Q348816
95-th percentile611822
Maximum612821
Range564715
Interquartile range (IQR)0

Descriptive statistics

Standard deviation201772.91
Coefficient of variation (CV)1.5620766
Kurtosis3.1385792
Mean129169.67
Median Absolute Deviation (MAD)0
Skewness2.2017599
Sum2712563
Variance4.0712307 × 1010
MonotonicityNot monotonic
2024-04-16T12:10:47.604021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
48816 15
57.7%
48980 1
 
3.8%
48744 1
 
3.8%
612821 1
 
3.8%
48106 1
 
3.8%
609850 1
 
3.8%
611822 1
 
3.8%
(Missing) 5
 
19.2%
ValueCountFrequency (%)
48106 1
 
3.8%
48744 1
 
3.8%
48816 15
57.7%
48980 1
 
3.8%
609850 1
 
3.8%
611822 1
 
3.8%
612821 1
 
3.8%
ValueCountFrequency (%)
612821 1
 
3.8%
611822 1
 
3.8%
609850 1
 
3.8%
48980 1
 
3.8%
48816 15
57.7%
48744 1
 
3.8%
48106 1
 
3.8%

사업장명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-16T12:10:47.746550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.4615385
Min length2

Characters and Unicode

Total characters116
Distinct characters62
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

Unique22 ?
Unique (%)84.6%

Sample

1st row하바나라이브하우스
2nd row해운대라이브클럽
3rd row바이킹클럽
4th row마이애미
5th row아테네클럽
ValueCountFrequency (%)
마닐라 2
 
7.4%
파라다이스 2
 
7.4%
보라카이 1
 
3.7%
하바나라이브하우스 1
 
3.7%
미수다 1
 
3.7%
맨하탄나이트 1
 
3.7%
관광클럽 1
 
3.7%
원세라돈 1
 
3.7%
말리부 1
 
3.7%
모니카 1
 
3.7%
Other values (15) 15
55.6%
2024-04-16T12:10:47.999021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
8.6%
라 9
 
7.8%
스 7
 
6.0%
바 5
 
4.3%
럽 5
 
4.3%
하 4
 
3.4%
클 4
 
3.4%
나 4
 
3.4%
마 3
 
2.6%
다 3
 
2.6%
Other values (52) 62
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
99.1%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
8.7%
라 9
 
7.8%
스 7
 
6.1%
바 5
 
4.3%
럽 5
 
4.3%
하 4
 
3.5%
클 4
 
3.5%
나 4
 
3.5%
마 3
 
2.6%
다 3
 
2.6%
Other values (51) 61
53.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
8.7%
라 9
 
7.8%
스 7
 
6.1%
바 5
 
4.3%
럽 5
 
4.3%
하 4
 
3.5%
클 4
 
3.5%
나 4
 
3.5%
마 3
 
2.6%
다 3
 
2.6%
Other values (51) 61
53.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 10
 
8.7%
라 9
 
7.8%
스 7
 
6.1%
바 5
 
4.3%
럽 5
 
4.3%
하 4
 
3.5%
클 4
 
3.5%
나 4
 
3.5%
마 3
 
2.6%
다 3
 
2.6%
Other values (51) 61
53.0%
ASCII
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0184759 × 1013
Minimum2.0051116 × 1013
Maximum2.0221102 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:48.099977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0051116 × 1013
5-th percentile2.0115562 × 1013
Q12.0163473 × 1013
median2.0210218 × 1013
Q32.0210303 × 1013
95-th percentile2.0221 × 1013
Maximum2.0221102 × 1013
Range1.6998604 × 1011
Interquartile range (IQR)4.6829736 × 1010

Descriptive statistics

Standard deviation4.154854 × 1010
Coefficient of variation (CV)0.0020584115
Kurtosis3.0044059
Mean2.0184759 × 1013
Median Absolute Deviation (MAD)1.0758047 × 1010
Skewness-1.6866065
Sum5.2480373 × 1014
Variance1.7262812 × 1021
MonotonicityNot monotonic
2024-04-16T12:10:48.198836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20110615111717 1
 
3.8%
20210218110541 1
 
3.8%
20051116132936 1
 
3.8%
20130402132821 1
 
3.8%
20151216150958 1
 
3.8%
20190703095203 1
 
3.8%
20140611174534 1
 
3.8%
20221102171542 1
 
3.8%
20210303092444 1
 
3.8%
20180118165656 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
20051116132936 1
3.8%
20110615111717 1
3.8%
20130402132821 1
3.8%
20140611174534 1
3.8%
20150710104013 1
3.8%
20151216150958 1
3.8%
20161226104122 1
3.8%
20170215115617 1
3.8%
20180118165656 1
3.8%
20180221140431 1
3.8%
ValueCountFrequency (%)
20221102171542 1
3.8%
20221024172602 1
3.8%
20220928141349 1
3.8%
20210611144739 1
3.8%
20210303092617 1
3.8%
20210303092602 1
3.8%
20210303092534 1
3.8%
20210303092509 1
3.8%
20210303092444 1
3.8%
20210303092419 1
3.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
16 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 16
61.5%
I 10
38.5%

Length

2024-04-16T12:10:48.298654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:48.369892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 16
61.5%
i 10
38.5%

데이터갱신일자
Date

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2022-11-04 02:40:00
2024-04-16T12:10:48.434760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T12:10:48.515098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(x)
Real number (ℝ)

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386924.61
Minimum380625.39
Maximum398174.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:48.600205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380625.39
5-th percentile384808.9
Q1385796.34
median385867.31
Q3385891.24
95-th percentile395536.51
Maximum398174.62
Range17549.233
Interquartile range (IQR)94.897545

Descriptive statistics

Standard deviation3604.3267
Coefficient of variation (CV)0.0093153204
Kurtosis4.9334454
Mean386924.61
Median Absolute Deviation (MAD)56.465729
Skewness2.0612878
Sum10060040
Variance12991171
MonotonicityNot monotonic
2024-04-16T12:10:48.690320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
385881.692762979 3
 
11.5%
385796.340948453 3
 
11.5%
385843.631934651 2
 
7.7%
385894.051691801 2
 
7.7%
385867.180611189 1
 
3.8%
380625.391364589 1
 
3.8%
389661.805903373 1
 
3.8%
391898.13908655 1
 
3.8%
398174.624215816 1
 
3.8%
396749.296703945 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
380625.391364589 1
 
3.8%
384664.149882792 1
 
3.8%
385243.158543667 1
 
3.8%
385730.185688879 1
 
3.8%
385789.988329877 1
 
3.8%
385796.340948453 3
11.5%
385825.354344479 1
 
3.8%
385843.631934651 2
7.7%
385856.654811212 1
 
3.8%
385867.180611189 1
 
3.8%
ValueCountFrequency (%)
398174.624215816 1
 
3.8%
396749.296703945 1
 
3.8%
391898.13908655 1
 
3.8%
389661.805903373 1
 
3.8%
387823.717928121 1
 
3.8%
385894.051691801 2
7.7%
385882.798896636 1
 
3.8%
385881.692762979 3
11.5%
385870.52904426 1
 
3.8%
385867.44613985 1
 
3.8%

좌표정보(y)
Real number (ℝ)

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182859.38
Minimum179580.3
Maximum192600.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:48.782884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179580.3
5-th percentile180007.31
Q1181501.27
median181586.69
Q3181617.24
95-th percentile189072.15
Maximum192600.56
Range13020.266
Interquartile range (IQR)115.97578

Descriptive statistics

Standard deviation3143.8039
Coefficient of variation (CV)0.017192467
Kurtosis2.987658
Mean182859.38
Median Absolute Deviation (MAD)71.158826
Skewness1.8708556
Sum4754344
Variance9883502.9
MonotonicityNot monotonic
2024-04-16T12:10:48.896869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
181600.35569243 3
 
11.5%
181487.004239194 3
 
11.5%
181550.096766175 2
 
7.7%
181617.241335137 2
 
7.7%
181544.04949419 1
 
3.8%
186530.255912963 1
 
3.8%
189409.714058797 1
 
3.8%
192600.561280451 1
 
3.8%
188059.461989621 1
 
3.8%
186683.351832463 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
179580.295176299 1
 
3.8%
179582.676484563 1
 
3.8%
181281.204951551 1
 
3.8%
181474.802526519 1
 
3.8%
181487.004239194 3
11.5%
181544.04949419 1
 
3.8%
181550.096766175 2
7.7%
181565.960748083 1
 
3.8%
181577.376398847 1
 
3.8%
181579.737753923 1
 
3.8%
ValueCountFrequency (%)
192600.561280451 1
 
3.8%
189409.714058797 1
 
3.8%
188059.461989621 1
 
3.8%
186683.351832463 1
 
3.8%
186530.255912963 1
 
3.8%
184076.481374503 1
 
3.8%
181617.241335137 2
7.7%
181607.646741726 1
 
3.8%
181600.35569243 3
11.5%
181593.63363095 1
 
3.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
외국인전용유흥음식점업
26 

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 26
100.0%

Length

2024-04-16T12:10:49.006409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:49.083319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 26
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
16 
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 row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
61.5%
관광사업 10
38.5%

Length

2024-04-16T12:10:49.156587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:49.252525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
61.5%
관광사업 10
38.5%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing23
Missing (%)88.5%
Memory size340.0 B
2024-04-16T12:10:49.372624image/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%
2024-04-16T12:10:49.572837image/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 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
3 
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 3
 
11.5%
6 1
 
3.8%
4 1
 
3.8%

Length

2024-04-16T12:10:49.672790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:49.757228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 3
 
11.5%
6 1
 
3.8%
4 1
 
3.8%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-04-16T12:10:50.061112image/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%
2024-04-16T12:10:50.277552image/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 

Missing26
Missing (%)100.0%
Memory size366.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-04-16T12:10:50.389821image/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%
2024-04-16T12:10:50.582712image/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 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
3 
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 3
 
11.5%
6 1
 
3.8%
4 1
 
3.8%

Length

2024-04-16T12:10:50.681192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:50.762929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 3
 
11.5%
6 1
 
3.8%
4 1
 
3.8%

지하층수
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
3 
1
 
2

Length

Max length4
Median length4
Mean length3.4230769
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> 21
80.8%
0 3
 
11.5%
1 2
 
7.7%

Length

2024-04-16T12:10:50.857721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:50.933842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 3
 
11.5%
1 2
 
7.7%

객실수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:51.016935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:51.091277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

건축연면적
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:51.171897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:51.246292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

영문상호명
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing16
Missing (%)61.5%
Memory size340.0 B
2024-04-16T12:10:51.366793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.9
Min length5

Characters and Unicode

Total characters79
Distinct characters33
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

Unique10 ?
Unique (%)100.0%

Sample

1st rowANGELES
2nd rowBAIKAL
3rd rowMANILA
4th rowBORACAY
5th rowHAVANA
ValueCountFrequency (%)
angeles 1
8.3%
baikal 1
8.3%
manila 1
8.3%
boracay 1
8.3%
havana 1
8.3%
dffff 1
8.3%
kings 1
8.3%
monika 1
8.3%
manhattan 1
8.3%
night 1
8.3%
Other values (2) 2
16.7%
2024-04-16T12:10:51.595575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 14
17.7%
N 8
 
10.1%
f 4
 
5.1%
I 4
 
5.1%
T 3
 
3.8%
L 3
 
3.8%
i 3
 
3.8%
K 3
 
3.8%
M 3
 
3.8%
H 3
 
3.8%
Other values (23) 31
39.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 56
70.9%
Lowercase Letter 21
 
26.6%
Space Separator 2
 
2.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 14
25.0%
N 8
14.3%
I 4
 
7.1%
T 3
 
5.4%
L 3
 
5.4%
K 3
 
5.4%
M 3
 
5.4%
H 3
 
5.4%
C 2
 
3.6%
O 2
 
3.6%
Other values (8) 11
19.6%
Lowercase Letter
ValueCountFrequency (%)
f 4
19.0%
i 3
14.3%
t 2
9.5%
g 2
9.5%
h 1
 
4.8%
l 1
 
4.8%
a 1
 
4.8%
u 1
 
4.8%
p 1
 
4.8%
o 1
 
4.8%
Other values (4) 4
19.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 77
97.5%
Common 2
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 14
18.2%
N 8
 
10.4%
f 4
 
5.2%
I 4
 
5.2%
T 3
 
3.9%
L 3
 
3.9%
i 3
 
3.9%
K 3
 
3.9%
M 3
 
3.9%
H 3
 
3.9%
Other values (22) 29
37.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 14
17.7%
N 8
 
10.1%
f 4
 
5.1%
I 4
 
5.1%
T 3
 
3.8%
L 3
 
3.8%
i 3
 
3.8%
K 3
 
3.8%
M 3
 
3.8%
H 3
 
3.8%
Other values (23) 31
39.2%

영문상호주소
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing18
Missing (%)69.2%
Memory size340.0 B
2024-04-16T12:10:51.723828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length38
Min length33

Characters and Unicode

Total characters304
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)37.5%

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 rowForeigner-only entertainment restaurant business
ValueCountFrequency (%)
a 12
26.7%
restaurant 7
15.6%
pleasure 6
13.3%
for 6
13.3%
foreigner 6
13.3%
foreigner-only 1
 
2.2%
entertainment 1
 
2.2%
business 1
 
2.2%
amusement 1
 
2.2%
spot 1
 
2.2%
Other values (3) 3
 
6.7%
2024-04-16T12:10:51.955161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
12.2%
R 24
 
7.9%
A 23
 
7.6%
e 21
 
6.9%
E 20
 
6.6%
r 19
 
6.2%
n 14
 
4.6%
a 11
 
3.6%
t 11
 
3.6%
s 11
 
3.6%
Other values (22) 113
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 133
43.8%
Uppercase Letter 132
43.4%
Space Separator 37
 
12.2%
Control 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 21
15.8%
r 19
14.3%
n 14
10.5%
a 11
8.3%
t 11
8.3%
s 11
8.3%
o 10
7.5%
u 7
 
5.3%
i 6
 
4.5%
f 6
 
4.5%
Other values (6) 17
12.8%
Uppercase Letter
ValueCountFrequency (%)
R 24
18.2%
A 23
17.4%
E 20
15.2%
F 9
 
6.8%
O 8
 
6.1%
U 8
 
6.1%
N 8
 
6.1%
S 8
 
6.1%
T 8
 
6.1%
L 4
 
3.0%
Other values (3) 12
9.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 265
87.2%
Common 39
 
12.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 24
 
9.1%
A 23
 
8.7%
e 21
 
7.9%
E 20
 
7.5%
r 19
 
7.2%
n 14
 
5.3%
a 11
 
4.2%
t 11
 
4.2%
s 11
 
4.2%
o 10
 
3.8%
Other values (19) 101
38.1%
Common
ValueCountFrequency (%)
37
94.9%
1
 
2.6%
- 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
 
12.2%
R 24
 
7.9%
A 23
 
7.6%
e 21
 
6.9%
E 20
 
6.6%
r 19
 
6.2%
n 14
 
4.6%
a 11
 
3.6%
t 11
 
3.6%
s 11
 
3.6%
Other values (22) 113
37.2%

선박총톤수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:52.060331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:52.134922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

선박척수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:52.215521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:52.290350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

무대면적
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:52.370735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:52.443716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

좌석수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:52.521135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:52.596370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:52.673422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:52.746990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)80.0%
Missing16
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean143.894
Minimum0
Maximum418.65
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:52.814656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.25
median122.13
Q3201.7575
95-th percentile351.7575
Maximum418.65
Range418.65
Interquartile range (IQR)174.5075

Descriptive statistics

Standard deviation134.18779
Coefficient of variation (CV)0.93254609
Kurtosis0.54786988
Mean143.894
Median Absolute Deviation (MAD)102.5
Skewness0.80840787
Sum1438.94
Variance18006.362
MonotonicityNot monotonic
2024-04-16T12:10:52.891240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 3
 
11.5%
109.0 1
 
3.8%
205.0 1
 
3.8%
109.26 1
 
3.8%
135.0 1
 
3.8%
192.03 1
 
3.8%
418.65 1
 
3.8%
270.0 1
 
3.8%
(Missing) 16
61.5%
ValueCountFrequency (%)
0.0 3
11.5%
109.0 1
 
3.8%
109.26 1
 
3.8%
135.0 1
 
3.8%
192.03 1
 
3.8%
205.0 1
 
3.8%
270.0 1
 
3.8%
418.65 1
 
3.8%
ValueCountFrequency (%)
418.65 1
 
3.8%
270.0 1
 
3.8%
205.0 1
 
3.8%
192.03 1
 
3.8%
135.0 1
 
3.8%
109.26 1
 
3.8%
109.0 1
 
3.8%
0.0 3
11.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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
88.5%
0 3
 
11.5%

Length

2024-04-16T12:10:52.983048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:10:53.056476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)75.0%
Missing18
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean75000000
Minimum0
Maximum3 × 108
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:53.119455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7000000
Q142500000
median50000000
Q362500000
95-th percentile2.195 × 108
Maximum3 × 108
Range3 × 108
Interquartile range (IQR)20000000

Descriptive statistics

Standard deviation93655905
Coefficient of variation (CV)1.2487454
Kurtosis6.7081879
Mean75000000
Median Absolute Deviation (MAD)15000000
Skewness2.4930125
Sum6 × 108
Variance8.7714286 × 1015
MonotonicityNot monotonic
2024-04-16T12:10:53.200392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
50000000 3
 
11.5%
0 1
 
3.8%
70000000 1
 
3.8%
60000000 1
 
3.8%
300000000 1
 
3.8%
20000000 1
 
3.8%
(Missing) 18
69.2%
ValueCountFrequency (%)
0 1
 
3.8%
20000000 1
 
3.8%
50000000 3
11.5%
60000000 1
 
3.8%
70000000 1
 
3.8%
300000000 1
 
3.8%
ValueCountFrequency (%)
300000000 1
 
3.8%
70000000 1
 
3.8%
60000000 1
 
3.8%
50000000 3
11.5%
20000000 1
 
3.8%
0 1
 
3.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)70.0%
Missing16
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean143.9
Minimum0
Maximum419
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-16T12:10:53.280646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.25
median122
Q3201.75
95-th percentile351.95
Maximum419
Range419
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation134.27373
Coefficient of variation (CV)0.93310442
Kurtosis0.55469702
Mean143.9
Median Absolute Deviation (MAD)102.5
Skewness0.8111764
Sum1439
Variance18029.433
MonotonicityNot monotonic
2024-04-16T12:10:53.364497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3
 
11.5%
109 2
 
7.7%
205 1
 
3.8%
135 1
 
3.8%
192 1
 
3.8%
419 1
 
3.8%
270 1
 
3.8%
(Missing) 16
61.5%
ValueCountFrequency (%)
0 3
11.5%
109 2
7.7%
135 1
 
3.8%
192 1
 
3.8%
205 1
 
3.8%
270 1
 
3.8%
419 1
 
3.8%
ValueCountFrequency (%)
419 1
 
3.8%
270 1
 
3.8%
205 1
 
3.8%
192 1
 
3.8%
135 1
 
3.8%
109 2
7.7%
0 3
11.5%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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_P3270000CDFI326103201100000120110609<NA>3폐업3폐업20210611<NA><NA><NA>051-467-3604<NA>601829부산광역시 동구 초량동 489-3부산광역시 동구 중앙대로209번길 8 (초량동)48816마이애미20210611144739U2021-06-13 02:40:00.0<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>
45외국인전용유흥음식점업07_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>
56외국인전용유흥음식점업07_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>
67외국인전용유흥음식점업07_24_03_P3270000CDFI326103201000000120100914<NA>1영업/정상13영업중<NA><NA><NA><NA>051-467-3604<NA><NA>부산광역시 동구 초량동 465-20부산광역시 동구 중앙대로209번길 22, 1층 (초량동)48816파라다이스20210303092419U2021-03-05 02:40:00.0<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>
78외국인전용유흥음식점업07_24_03_P3270000CDFI326103201000000320101109<NA>1영업/정상13영업중<NA><NA><NA><NA>051-467-3604<NA>601829부산광역시 동구 초량동 486-2 1층부산광역시 동구 대영로243번길 101 (초량동)48816엔젤레스20221024172602U2022-10-26 02:40:00.0<NA>385881.692763181600.355692외국인전용유흥음식점업<NA><NA>0<NA><NA><NA><NA>0000ANGELESA PLEASURE RESTAURANT FOR A FOREIGNER00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>0<NA>
89외국인전용유흥음식점업07_24_03_P3270000CDFI326103198000000119801004<NA>1영업/정상13영업중<NA><NA><NA><NA>051-441-2247<NA><NA>부산광역시 동구 초량동 488-1부산광역시 동구 대영로243번길 99 (초량동)48816바이칼20210218110254U2021-02-20 02:40:00.0<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>051-467-7381<NA><NA>부산광역시 동구 초량동 1207-8부산광역시 동구 중앙대로209번길 2 (초량동)48816오숀20210303092509U2021-03-05 02:40:00.0<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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
1617외국인전용유흥음식점업07_24_03_P3270000CDFI326103200200000120021021<NA>1영업/정상13영업중<NA><NA><NA><NA>051-468-0091<NA><NA>부산광역시 동구 초량동 486-2부산광역시 동구 대영로243번길 101 (초량동)48816파라다이스20210303092617U2021-03-05 02:40:00.0<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 500-1부산광역시 동구 대영로243번길 73-3, 2층 (초량동)48816발리20210218105943U2021-02-20 02:40:00.0<NA>385796.340948181487.004239외국인전용유흥음식점업<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>051-467-3604<NA>601829부산광역시 동구 초량동 500-1부산광역시 동구 대영로243번길 73-3 (초량동)48816모니카20210303092444U2021-03-05 02:40:00.0<NA>385796.340948181487.004239외국인전용유흥음식점업<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_P3270000CDFI326103202200000120221031<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 483부산광역시 동구 대영로243번길 105, 2층 (초량동)48816말리부20221102171542U2022-11-04 02:40:00.0<NA>385894.051692181617.241335외국인전용유흥음식점업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>300000000<NA><NA><NA>0<NA>
2122외국인전용유흥음식점업07_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>
2223외국인전용유흥음식점업07_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>
2324외국인전용유흥음식점업07_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>391898.139087192600.56128외국인전용유흥음식점업<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>
2425외국인전용유흥음식점업07_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>
2526외국인전용유흥음식점업07_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>