Overview

Dataset statistics

Number of variables64
Number of observations243
Missing cells8478
Missing cells (%)54.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory132.5 KiB
Average record size in memory558.5 B

Variable types

Numeric17
Categorical14
Text7
Unsupported25
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123067

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 is highly imbalanced (85.5%)Imbalance
주변환경명 is highly imbalanced (50.7%)Imbalance
지하층수 is highly imbalanced (73.6%)Imbalance
영문상호주소 is highly imbalanced (69.8%)Imbalance
인허가취소일자 has 243 (100.0%) missing valuesMissing
폐업일자 has 118 (48.6%) missing valuesMissing
휴업시작일자 has 235 (96.7%) missing valuesMissing
휴업종료일자 has 235 (96.7%) missing valuesMissing
재개업일자 has 243 (100.0%) missing valuesMissing
소재지전화 has 215 (88.5%) missing valuesMissing
소재지면적 has 243 (100.0%) missing valuesMissing
소재지우편번호 has 200 (82.3%) missing valuesMissing
도로명우편번호 has 83 (34.2%) missing valuesMissing
업태구분명 has 243 (100.0%) missing valuesMissing
문화사업자구분명 has 243 (100.0%) missing valuesMissing
총층수 has 158 (65.0%) missing valuesMissing
제작취급품목내용 has 243 (100.0%) missing valuesMissing
보험기관명 has 227 (93.4%) missing valuesMissing
지상층수 has 168 (69.1%) missing valuesMissing
건축연면적 has 237 (97.5%) missing valuesMissing
영문상호명 has 200 (82.3%) missing valuesMissing
선박총톤수 has 243 (100.0%) missing valuesMissing
선박척수 has 243 (100.0%) missing valuesMissing
선박제원 has 243 (100.0%) missing valuesMissing
무대면적 has 243 (100.0%) missing valuesMissing
좌석수 has 243 (100.0%) missing valuesMissing
기념품종류 has 243 (100.0%) missing valuesMissing
회의실별동시수용인원 has 243 (100.0%) missing valuesMissing
시설면적 has 63 (25.9%) missing valuesMissing
놀이기구수내역 has 243 (100.0%) missing valuesMissing
놀이시설수 has 243 (100.0%) missing valuesMissing
방송시설유무 has 243 (100.0%) missing valuesMissing
발전시설유무 has 243 (100.0%) missing valuesMissing
의무실유무 has 243 (100.0%) missing valuesMissing
안내소유무 has 243 (100.0%) missing valuesMissing
기획여행보험시작일자 has 243 (100.0%) missing valuesMissing
기획여행보험종료일자 has 243 (100.0%) missing valuesMissing
자본금 has 199 (81.9%) missing valuesMissing
보험시작일자 has 243 (100.0%) missing valuesMissing
보험종료일자 has 243 (100.0%) missing valuesMissing
부대시설내역 has 243 (100.0%) missing valuesMissing
시설규모 has 63 (25.9%) missing valuesMissing
Unnamed: 63 has 243 (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
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
문화사업자구분명 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
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 started2024-04-17 22:07:38.536299
Analysis finished2024-04-17 22:07:39.242386
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122
Minimum1
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:39.301905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.1
Q161.5
median122
Q3182.5
95-th percentile230.9
Maximum243
Range242
Interquartile range (IQR)121

Descriptive statistics

Standard deviation70.292247
Coefficient of variation (CV)0.57616596
Kurtosis-1.2
Mean122
Median Absolute Deviation (MAD)61
Skewness0
Sum29646
Variance4941
MonotonicityStrictly increasing
2024-04-18T07:07:39.419190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
154 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
Other values (233) 233
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
외국인관광도시민박업
243 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인관광도시민박업 243
100.0%

Length

2024-04-18T07:07:39.521271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:39.592844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광도시민박업 243
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
03_11_04_P
243 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_04_P
2nd row03_11_04_P
3rd row03_11_04_P
4th row03_11_04_P
5th row03_11_04_P

Common Values

ValueCountFrequency (%)
03_11_04_P 243
100.0%

Length

2024-04-18T07:07:39.665665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:39.734296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_04_p 243
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322469.1
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:39.802350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33350000
95-th percentile3380000
Maximum3390000
Range140000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39234.331
Coefficient of variation (CV)0.011808787
Kurtosis-0.9065156
Mean3322469.1
Median Absolute Deviation (MAD)30000
Skewness-0.056091199
Sum8.0736 × 108
Variance1.5393327 × 109
MonotonicityNot monotonic
2024-04-18T07:07:39.896603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3330000 62
25.5%
3380000 36
14.8%
3310000 23
 
9.5%
3280000 19
 
7.8%
3270000 15
 
6.2%
3290000 14
 
5.8%
3340000 13
 
5.3%
3350000 12
 
4.9%
3250000 11
 
4.5%
3370000 10
 
4.1%
Other values (4) 28
11.5%
ValueCountFrequency (%)
3250000 11
 
4.5%
3260000 9
 
3.7%
3270000 15
 
6.2%
3280000 19
 
7.8%
3290000 14
 
5.8%
3300000 9
 
3.7%
3310000 23
 
9.5%
3320000 5
 
2.1%
3330000 62
25.5%
3340000 13
 
5.3%
ValueCountFrequency (%)
3390000 5
 
2.1%
3380000 36
14.8%
3370000 10
 
4.1%
3350000 12
 
4.9%
3340000 13
 
5.3%
3330000 62
25.5%
3320000 5
 
2.1%
3310000 23
 
9.5%
3300000 9
 
3.7%
3290000 14
 
5.8%

관리번호
Text

Distinct75
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-18T07:07:40.076979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4860
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

Unique30 ?
Unique (%)12.3%

Sample

1st rowCDFI2262212012000001
2nd rowCDFI2262212018000008
3rd rowCDFI2262212019000003
4th rowCDFI2262212015000001
5th rowCDFI2262212014000001
ValueCountFrequency (%)
cdfi2262212018000001 12
 
4.9%
cdfi2262212015000001 12
 
4.9%
cdfi2262212016000001 11
 
4.5%
cdfi2262212015000002 11
 
4.5%
cdfi2262212017000001 11
 
4.5%
cdfi2262212019000001 10
 
4.1%
cdfi2262212016000002 10
 
4.1%
cdfi2262212017000002 9
 
3.7%
cdfi2262212014000001 7
 
2.9%
cdfi2262212019000003 7
 
2.9%
Other values (65) 143
58.8%
2024-04-18T07:07:40.375331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1451
29.9%
2 1298
26.7%
1 572
 
11.8%
6 305
 
6.3%
C 243
 
5.0%
D 243
 
5.0%
F 243
 
5.0%
I 243
 
5.0%
5 72
 
1.5%
7 40
 
0.8%
Other values (4) 150
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3888
80.0%
Uppercase Letter 972
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1451
37.3%
2 1298
33.4%
1 572
 
14.7%
6 305
 
7.8%
5 72
 
1.9%
7 40
 
1.0%
9 39
 
1.0%
3 39
 
1.0%
4 37
 
1.0%
8 35
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 243
25.0%
D 243
25.0%
F 243
25.0%
I 243
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3888
80.0%
Latin 972
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1451
37.3%
2 1298
33.4%
1 572
 
14.7%
6 305
 
7.8%
5 72
 
1.9%
7 40
 
1.0%
9 39
 
1.0%
3 39
 
1.0%
4 37
 
1.0%
8 35
 
0.9%
Latin
ValueCountFrequency (%)
C 243
25.0%
D 243
25.0%
F 243
25.0%
I 243
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1451
29.9%
2 1298
26.7%
1 572
 
11.8%
6 305
 
6.3%
C 243
 
5.0%
D 243
 
5.0%
F 243
 
5.0%
I 243
 
5.0%
5 72
 
1.5%
7 40
 
0.8%
Other values (4) 150
 
3.1%

인허가일자
Real number (ℝ)

Distinct209
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20164391
Minimum20120319
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:40.512521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120319
5-th percentile20130114
Q120150662
median20161013
Q320180614
95-th percentile20191225
Maximum20210429
Range90110
Interquartile range (IQR)29952

Descriptive statistics

Standard deviation20441.185
Coefficient of variation (CV)0.0010137269
Kurtosis-0.42927524
Mean20164391
Median Absolute Deviation (MAD)10486
Skewness-0.071986831
Sum4.8999471 × 109
Variance4.1784206 × 108
MonotonicityNot monotonic
2024-04-18T07:07:40.627671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150622 4
 
1.6%
20161006 3
 
1.2%
20161014 3
 
1.2%
20180621 3
 
1.2%
20160616 3
 
1.2%
20150618 3
 
1.2%
20161118 3
 
1.2%
20150514 2
 
0.8%
20160729 2
 
0.8%
20120503 2
 
0.8%
Other values (199) 215
88.5%
ValueCountFrequency (%)
20120319 1
0.4%
20120321 1
0.4%
20120406 1
0.4%
20120503 2
0.8%
20120504 1
0.4%
20120723 2
0.8%
20120803 1
0.4%
20120919 1
0.4%
20121217 1
0.4%
20121231 1
0.4%
ValueCountFrequency (%)
20210429 1
0.4%
20210415 1
0.4%
20210324 1
0.4%
20201218 1
0.4%
20201111 1
0.4%
20201028 1
0.4%
20201023 1
0.4%
20200914 1
0.4%
20200522 1
0.4%
20200320 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
125 
1
110 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
3 125
51.4%
1 110
45.3%
2 8
 
3.3%

Length

2024-04-18T07:07:40.728225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:40.812755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 125
51.4%
1 110
45.3%
2 8
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
125 
영업/정상
110 
휴업
 
8

Length

Max length5
Median length2
Mean length3.3580247
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 125
51.4%
영업/정상 110
45.3%
휴업 8
 
3.3%

Length

2024-04-18T07:07:40.900642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:40.980027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 125
51.4%
영업/정상 110
45.3%
휴업 8
 
3.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
125 
13
110 
2
 
8

Length

Max length2
Median length1
Mean length1.4526749
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
3 125
51.4%
13 110
45.3%
2 8
 
3.3%

Length

2024-04-18T07:07:41.066650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:41.146921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 125
51.4%
13 110
45.3%
2 8
 
3.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
125 
영업중
110 
휴업
 
8

Length

Max length3
Median length2
Mean length2.4526749
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 125
51.4%
영업중 110
45.3%
휴업 8
 
3.3%

Length

2024-04-18T07:07:41.233438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:41.321091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 125
51.4%
영업중 110
45.3%
휴업 8
 
3.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)88.0%
Missing118
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean20184804
Minimum20141125
Maximum20210414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:41.449522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20141125
5-th percentile20160769
Q120171129
median20181019
Q320200128
95-th percentile20210115
Maximum20210414
Range69289
Interquartile range (IQR)28999

Descriptive statistics

Standard deviation14993.957
Coefficient of variation (CV)0.0007428339
Kurtosis-0.25999106
Mean20184804
Median Absolute Deviation (MAD)10191
Skewness-0.20864303
Sum2.5231005 × 109
Variance2.2481874 × 108
MonotonicityNot monotonic
2024-04-18T07:07:41.576253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210115 2
 
0.8%
20170824 2
 
0.8%
20160608 2
 
0.8%
20181015 2
 
0.8%
20170901 2
 
0.8%
20171227 2
 
0.8%
20180131 2
 
0.8%
20180326 2
 
0.8%
20171011 2
 
0.8%
20171213 2
 
0.8%
Other values (100) 105
43.2%
(Missing) 118
48.6%
ValueCountFrequency (%)
20141125 1
0.4%
20141218 1
0.4%
20160315 1
0.4%
20160601 1
0.4%
20160608 2
0.8%
20160711 1
0.4%
20161002 1
0.4%
20161031 1
0.4%
20161117 1
0.4%
20170119 2
0.8%
ValueCountFrequency (%)
20210414 1
0.4%
20210406 1
0.4%
20210405 1
0.4%
20210302 2
0.8%
20210131 1
0.4%
20210115 2
0.8%
20210107 1
0.4%
20210106 1
0.4%
20201223 1
0.4%
20201216 1
0.4%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing235
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean20198347
Minimum20181113
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:41.691165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181113
5-th percentile20184470
Q120198296
median20200912
Q320201052
95-th percentile20206988
Maximum20210101
Range28988
Interquartile range (IQR)2757

Descriptive statistics

Standard deviation8685.8246
Coefficient of variation (CV)0.00043002651
Kurtosis1.7836137
Mean20198347
Median Absolute Deviation (MAD)192.5
Skewness-1.1191009
Sum1.6158678 × 108
Variance75443548
MonotonicityNot monotonic
2024-04-18T07:07:41.776996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20210101 1
 
0.4%
20200916 1
 
0.4%
20201001 1
 
0.4%
20200907 1
 
0.4%
20201207 1
 
0.4%
20200826 1
 
0.4%
20190704 1
 
0.4%
20181113 1
 
0.4%
(Missing) 235
96.7%
ValueCountFrequency (%)
20181113 1
0.4%
20190704 1
0.4%
20200826 1
0.4%
20200907 1
0.4%
20200916 1
0.4%
20201001 1
0.4%
20201207 1
0.4%
20210101 1
0.4%
ValueCountFrequency (%)
20210101 1
0.4%
20201207 1
0.4%
20201001 1
0.4%
20200916 1
0.4%
20200907 1
0.4%
20200826 1
0.4%
20190704 1
0.4%
20181113 1
0.4%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing235
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean20205931
Minimum20190530
Maximum20211206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:41.869099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190530
5-th percentile20194275
Q120201231
median20210667
Q320210936
95-th percentile20211134
Maximum20211206
Range20676
Interquartile range (IQR)9705.75

Descriptive statistics

Standard deviation7602.7543
Coefficient of variation (CV)0.0003762635
Kurtosis1.2872097
Mean20205931
Median Absolute Deviation (MAD)436.5
Skewness-1.4074345
Sum1.6164745 × 108
Variance57801873
MonotonicityNot monotonic
2024-04-18T07:07:41.959582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20210630 1
 
0.4%
20210915 1
 
0.4%
20211001 1
 
0.4%
20201231 1
 
0.4%
20211206 1
 
0.4%
20201230 1
 
0.4%
20210704 1
 
0.4%
20190530 1
 
0.4%
(Missing) 235
96.7%
ValueCountFrequency (%)
20190530 1
0.4%
20201230 1
0.4%
20201231 1
0.4%
20210630 1
0.4%
20210704 1
0.4%
20210915 1
0.4%
20211001 1
0.4%
20211206 1
0.4%
ValueCountFrequency (%)
20211206 1
0.4%
20211001 1
0.4%
20210915 1
0.4%
20210704 1
0.4%
20210630 1
0.4%
20201231 1
0.4%
20201230 1
0.4%
20190530 1
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct25
Distinct (%)89.3%
Missing215
Missing (%)88.5%
Memory size2.0 KiB
2024-04-18T07:07:42.121829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.464286
Min length8

Characters and Unicode

Total characters321
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row051-333-9009
2nd row051-624-1010
3rd row752-7580
4th row051-917-9775
5th row756-5431
ValueCountFrequency (%)
051-207-1212 4
 
12.9%
051 2
 
6.5%
070-8600-8398 1
 
3.2%
051-333-9009 1
 
3.2%
070-4195-1381 1
 
3.2%
8521529 1
 
3.2%
051-337-1174 1
 
3.2%
516-9303 1
 
3.2%
6849 1
 
3.2%
525 1
 
3.2%
Other values (17) 17
54.8%
2024-04-18T07:07:42.412796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
15.9%
1 49
15.3%
- 44
13.7%
5 38
11.8%
2 29
9.0%
7 26
8.1%
9 22
6.9%
8 18
 
5.6%
3 17
 
5.3%
6 15
 
4.7%
Other values (2) 12
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 274
85.4%
Dash Punctuation 44
 
13.7%
Space Separator 3
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
18.6%
1 49
17.9%
5 38
13.9%
2 29
10.6%
7 26
9.5%
9 22
8.0%
8 18
 
6.6%
3 17
 
6.2%
6 15
 
5.5%
4 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
15.9%
1 49
15.3%
- 44
13.7%
5 38
11.8%
2 29
9.0%
7 26
8.1%
9 22
6.9%
8 18
 
5.6%
3 17
 
5.3%
6 15
 
4.7%
Other values (2) 12
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
15.9%
1 49
15.3%
- 44
13.7%
5 38
11.8%
2 29
9.0%
7 26
8.1%
9 22
6.9%
8 18
 
5.6%
3 17
 
5.3%
6 15
 
4.7%
Other values (2) 12
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)88.4%
Missing200
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean611544.95
Minimum604737
Maximum617030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:42.537910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum604737
5-th percentile607178.1
Q1609548.5
median612745
Q3613350.5
95-th percentile614831.7
Maximum617030
Range12293
Interquartile range (IQR)3802

Descriptive statistics

Standard deviation2620.2703
Coefficient of variation (CV)0.0042846732
Kurtosis-0.16737428
Mean611544.95
Median Absolute Deviation (MAD)1083
Skewness-0.52365139
Sum26296433
Variance6865816.3
MonotonicityNot monotonic
2024-04-18T07:07:42.643587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
613828 3
 
1.2%
608811 2
 
0.8%
612822 2
 
0.8%
612759 2
 
0.8%
607020 1
 
0.4%
608749 1
 
0.4%
608780 1
 
0.4%
607111 1
 
0.4%
607841 1
 
0.4%
607782 1
 
0.4%
Other values (28) 28
 
11.5%
(Missing) 200
82.3%
ValueCountFrequency (%)
604737 1
0.4%
607020 1
0.4%
607111 1
0.4%
607782 1
0.4%
607841 1
0.4%
608020 1
0.4%
608749 1
0.4%
608780 1
0.4%
608811 2
0.8%
609391 1
0.4%
ValueCountFrequency (%)
617030 1
 
0.4%
614858 1
 
0.4%
614832 1
 
0.4%
614829 1
 
0.4%
613828 3
1.2%
613814 1
 
0.4%
613804 1
 
0.4%
613802 1
 
0.4%
613800 1
 
0.4%
612901 1
 
0.4%

소재지전체주소
Text

Distinct215
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-18T07:07:42.815237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length24.123457
Min length12

Characters and Unicode

Total characters5862
Distinct characters202
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)83.1%

Sample

1st row부산광역시 수영구 광안동 79-10
2nd row부산광역시 해운대구 우동 1196-12 센텀엘카사 1동 1802호
3rd row부산광역시 남구 용호동 394-44 지영주택 103호
4th row부산광역시 남구 대연동 1858 대연힐스테이트푸르지오
5th row부산광역시 남구 용호동 944 오륙도 에스케이뷰 아파트 113동 103호
ValueCountFrequency (%)
부산광역시 243
 
21.5%
해운대구 62
 
5.5%
수영구 36
 
3.2%
남구 23
 
2.0%
광안동 21
 
1.9%
영도구 19
 
1.7%
우동 17
 
1.5%
좌동 15
 
1.3%
동구 15
 
1.3%
중동 14
 
1.2%
Other values (391) 666
58.9%
2024-04-18T07:07:43.104213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
888
 
15.1%
동 320
 
5.5%
1 298
 
5.1%
산 280
 
4.8%
부 266
 
4.5%
광 265
 
4.5%
구 249
 
4.2%
시 245
 
4.2%
역 244
 
4.2%
- 173
 
3.0%
Other values (192) 2634
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3527
60.2%
Decimal Number 1260
 
21.5%
Space Separator 888
 
15.1%
Dash Punctuation 173
 
3.0%
Uppercase Letter 13
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 320
 
9.1%
산 280
 
7.9%
부 266
 
7.5%
광 265
 
7.5%
구 249
 
7.1%
시 245
 
6.9%
역 244
 
6.9%
지 163
 
4.6%
번 149
 
4.2%
대 99
 
2.8%
Other values (170) 1247
35.4%
Decimal Number
ValueCountFrequency (%)
1 298
23.7%
0 156
12.4%
2 147
11.7%
3 121
9.6%
4 110
 
8.7%
5 98
 
7.8%
8 97
 
7.7%
7 84
 
6.7%
9 80
 
6.3%
6 69
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
15.4%
O 2
15.4%
S 2
15.4%
F 2
15.4%
K 1
7.7%
B 1
7.7%
C 1
7.7%
H 1
7.7%
U 1
7.7%
Space Separator
ValueCountFrequency (%)
888
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3527
60.2%
Common 2321
39.6%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 320
 
9.1%
산 280
 
7.9%
부 266
 
7.5%
광 265
 
7.5%
구 249
 
7.1%
시 245
 
6.9%
역 244
 
6.9%
지 163
 
4.6%
번 149
 
4.2%
대 99
 
2.8%
Other values (170) 1247
35.4%
Common
ValueCountFrequency (%)
888
38.3%
1 298
 
12.8%
- 173
 
7.5%
0 156
 
6.7%
2 147
 
6.3%
3 121
 
5.2%
4 110
 
4.7%
5 98
 
4.2%
8 97
 
4.2%
7 84
 
3.6%
Other values (2) 149
 
6.4%
Latin
ValueCountFrequency (%)
E 2
14.3%
O 2
14.3%
S 2
14.3%
F 2
14.3%
K 1
7.1%
B 1
7.1%
C 1
7.1%
H 1
7.1%
U 1
7.1%
Ⅱ 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3527
60.2%
ASCII 2334
39.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
888
38.0%
1 298
 
12.8%
- 173
 
7.4%
0 156
 
6.7%
2 147
 
6.3%
3 121
 
5.2%
4 110
 
4.7%
5 98
 
4.2%
8 97
 
4.2%
7 84
 
3.6%
Other values (11) 162
 
6.9%
Hangul
ValueCountFrequency (%)
동 320
 
9.1%
산 280
 
7.9%
부 266
 
7.5%
광 265
 
7.5%
구 249
 
7.1%
시 245
 
6.9%
역 244
 
6.9%
지 163
 
4.6%
번 149
 
4.2%
대 99
 
2.8%
Other values (170) 1247
35.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

Distinct237
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-18T07:07:43.329091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length35.604938
Min length22

Characters and Unicode

Total characters8652
Distinct characters268
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)95.1%

Sample

1st row부산광역시 수영구 무학로49번길 107 (광안동)
2nd row부산광역시 해운대구 해운대로394번길 23, 센텀엘카사 1동 1802호 (우동)
3rd row부산광역시 남구 용호로 149-1, 103호 (용호동, 지영주택)
4th row부산광역시 남구 수영로 345, 101동 3503호 (대연동, 대연힐스테이트푸르지오)
5th row부산광역시 남구 오륙도로 85, 113동 103호 (용호동, 오륙도 에스케이뷰 아파트)
ValueCountFrequency (%)
부산광역시 243
 
15.2%
해운대구 62
 
3.9%
수영구 36
 
2.2%
남구 23
 
1.4%
광안동 21
 
1.3%
2층 19
 
1.2%
영도구 19
 
1.2%
우동 17
 
1.1%
좌동 15
 
0.9%
동구 15
 
0.9%
Other values (600) 1132
70.7%
2024-04-18T07:07:43.681027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1359
 
15.7%
1 418
 
4.8%
동 387
 
4.5%
산 293
 
3.4%
광 287
 
3.3%
, 271
 
3.1%
부 270
 
3.1%
구 259
 
3.0%
시 255
 
2.9%
역 244
 
2.8%
Other values (258) 4609
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4817
55.7%
Decimal Number 1641
 
19.0%
Space Separator 1359
 
15.7%
Other Punctuation 271
 
3.1%
Close Punctuation 243
 
2.8%
Open Punctuation 243
 
2.8%
Dash Punctuation 53
 
0.6%
Uppercase Letter 21
 
0.2%
Letter Number 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 387
 
8.0%
산 293
 
6.1%
광 287
 
6.0%
부 270
 
5.6%
구 259
 
5.4%
시 255
 
5.3%
역 244
 
5.1%
로 237
 
4.9%
대 155
 
3.2%
길 145
 
3.0%
Other values (228) 2285
47.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
14.3%
S 2
9.5%
E 2
9.5%
O 2
9.5%
F 2
9.5%
K 2
9.5%
A 2
9.5%
U 1
 
4.8%
H 1
 
4.8%
R 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 418
25.5%
2 239
14.6%
0 239
14.6%
3 184
11.2%
4 131
 
8.0%
5 107
 
6.5%
6 91
 
5.5%
7 86
 
5.2%
9 75
 
4.6%
8 71
 
4.3%
Space Separator
ValueCountFrequency (%)
1359
100.0%
Other Punctuation
ValueCountFrequency (%)
, 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4817
55.7%
Common 3811
44.0%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 387
 
8.0%
산 293
 
6.1%
광 287
 
6.0%
부 270
 
5.6%
구 259
 
5.4%
시 255
 
5.3%
역 244
 
5.1%
로 237
 
4.9%
대 155
 
3.2%
길 145
 
3.0%
Other values (228) 2285
47.4%
Common
ValueCountFrequency (%)
1359
35.7%
1 418
 
11.0%
, 271
 
7.1%
) 243
 
6.4%
( 243
 
6.4%
2 239
 
6.3%
0 239
 
6.3%
3 184
 
4.8%
4 131
 
3.4%
5 107
 
2.8%
Other values (6) 377
 
9.9%
Latin
ValueCountFrequency (%)
B 3
12.5%
Ⅱ 3
12.5%
S 2
8.3%
E 2
8.3%
O 2
8.3%
F 2
8.3%
K 2
8.3%
A 2
8.3%
U 1
 
4.2%
H 1
 
4.2%
Other values (4) 4
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4817
55.7%
ASCII 3832
44.3%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1359
35.5%
1 418
 
10.9%
, 271
 
7.1%
) 243
 
6.3%
( 243
 
6.3%
2 239
 
6.2%
0 239
 
6.2%
3 184
 
4.8%
4 131
 
3.4%
5 107
 
2.8%
Other values (19) 398
 
10.4%
Hangul
ValueCountFrequency (%)
동 387
 
8.0%
산 293
 
6.1%
광 287
 
6.0%
부 270
 
5.6%
구 259
 
5.4%
시 255
 
5.3%
역 244
 
5.1%
로 237
 
4.9%
대 155
 
3.2%
길 145
 
3.0%
Other values (228) 2285
47.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)74.4%
Missing83
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean48291.169
Minimum46216
Maximum49520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:43.795198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46216
5-th percentile46508.6
Q148073
median48295
Q348841
95-th percentile49272.15
Maximum49520
Range3304
Interquartile range (IQR)768

Descriptive statistics

Standard deviation737.58264
Coefficient of variation (CV)0.015273655
Kurtosis1.1295646
Mean48291.169
Median Absolute Deviation (MAD)437.5
Skewness-1.0009551
Sum7726587
Variance544028.15
MonotonicityNot monotonic
2024-04-18T07:07:43.914462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48073 7
 
2.9%
49119 4
 
1.6%
48075 4
 
1.6%
49042 4
 
1.6%
49275 3
 
1.2%
48301 3
 
1.2%
48297 3
 
1.2%
47298 3
 
1.2%
48810 2
 
0.8%
48096 2
 
0.8%
Other values (109) 125
51.4%
(Missing) 83
34.2%
ValueCountFrequency (%)
46216 1
0.4%
46218 1
0.4%
46223 1
0.4%
46246 1
0.4%
46284 2
0.8%
46287 1
0.4%
46501 1
0.4%
46509 1
0.4%
46516 1
0.4%
46927 1
0.4%
ValueCountFrequency (%)
49520 1
 
0.4%
49430 1
 
0.4%
49375 1
 
0.4%
49364 1
 
0.4%
49316 1
 
0.4%
49275 3
1.2%
49272 1
 
0.4%
49270 1
 
0.4%
49246 1
 
0.4%
49234 1
 
0.4%

사업장명
Text

Distinct235
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-18T07:07:44.130549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length9.909465
Min length1

Characters and Unicode

Total characters2408
Distinct characters299
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)93.8%

Sample

1st rowBusan Self House(부산셀프하우스)
2nd row시오하우스
3rd row이기대 외국인 숙소
4th row어린왕자(The Little Prince)
5th row오륙도 게스트하우스
ValueCountFrequency (%)
house 41
 
9.2%
게스트하우스 27
 
6.1%
하우스 20
 
4.5%
guest 10
 
2.3%
busan 9
 
2.0%
부산 6
 
1.4%
해운대 4
 
0.9%
홈 4
 
0.9%
kim's 4
 
0.9%
게스트 3
 
0.7%
Other values (288) 316
71.2%
2024-04-18T07:07:44.464173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
8.4%
스 180
 
7.5%
하 114
 
4.7%
우 112
 
4.7%
e 95
 
3.9%
s 77
 
3.2%
u 64
 
2.7%
o 60
 
2.5%
a 52
 
2.2%
트 52
 
2.2%
Other values (289) 1400
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1133
47.1%
Lowercase Letter 609
25.3%
Uppercase Letter 372
 
15.4%
Space Separator 202
 
8.4%
Open Punctuation 28
 
1.2%
Close Punctuation 28
 
1.2%
Other Punctuation 15
 
0.6%
Decimal Number 14
 
0.6%
Dash Punctuation 5
 
0.2%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 180
 
15.9%
하 114
 
10.1%
우 112
 
9.9%
트 52
 
4.6%
게 42
 
3.7%
이 28
 
2.5%
산 15
 
1.3%
리 14
 
1.2%
테 13
 
1.1%
부 12
 
1.1%
Other values (221) 551
48.6%
Lowercase Letter
ValueCountFrequency (%)
e 95
15.6%
s 77
12.6%
u 64
10.5%
o 60
9.9%
a 52
8.5%
n 48
7.9%
h 29
 
4.8%
i 27
 
4.4%
r 24
 
3.9%
t 21
 
3.4%
Other values (15) 112
18.4%
Uppercase Letter
ValueCountFrequency (%)
E 45
12.1%
S 41
 
11.0%
H 38
 
10.2%
U 29
 
7.8%
O 27
 
7.3%
N 20
 
5.4%
B 20
 
5.4%
A 15
 
4.0%
G 15
 
4.0%
C 13
 
3.5%
Other values (15) 109
29.3%
Decimal Number
ValueCountFrequency (%)
2 3
21.4%
3 3
21.4%
4 2
14.3%
8 2
14.3%
0 1
 
7.1%
5 1
 
7.1%
1 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
' 7
46.7%
& 4
26.7%
. 3
20.0%
: 1
 
6.7%
Space Separator
ValueCountFrequency (%)
202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1129
46.9%
Latin 981
40.7%
Common 294
 
12.2%
Han 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 180
 
15.9%
하 114
 
10.1%
우 112
 
9.9%
트 52
 
4.6%
게 42
 
3.7%
이 28
 
2.5%
산 15
 
1.3%
리 14
 
1.2%
테 13
 
1.2%
부 12
 
1.1%
Other values (217) 547
48.4%
Latin
ValueCountFrequency (%)
e 95
 
9.7%
s 77
 
7.8%
u 64
 
6.5%
o 60
 
6.1%
a 52
 
5.3%
n 48
 
4.9%
E 45
 
4.6%
S 41
 
4.2%
H 38
 
3.9%
U 29
 
3.0%
Other values (40) 432
44.0%
Common
ValueCountFrequency (%)
202
68.7%
( 28
 
9.5%
) 28
 
9.5%
' 7
 
2.4%
- 5
 
1.7%
& 4
 
1.4%
2 3
 
1.0%
. 3
 
1.0%
3 3
 
1.0%
4 2
 
0.7%
Other values (8) 9
 
3.1%
Han
ValueCountFrequency (%)
安 1
25.0%
智 1
25.0%
和 1
25.0%
美 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1274
52.9%
Hangul 1129
46.9%
CJK 4
 
0.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
 
15.9%
e 95
 
7.5%
s 77
 
6.0%
u 64
 
5.0%
o 60
 
4.7%
a 52
 
4.1%
n 48
 
3.8%
E 45
 
3.5%
S 41
 
3.2%
H 38
 
3.0%
Other values (57) 552
43.3%
Hangul
ValueCountFrequency (%)
스 180
 
15.9%
하 114
 
10.1%
우 112
 
9.9%
트 52
 
4.6%
게 42
 
3.7%
이 28
 
2.5%
산 15
 
1.3%
리 14
 
1.2%
테 13
 
1.2%
부 12
 
1.1%
Other values (217) 547
48.4%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
安 1
25.0%
智 1
25.0%
和 1
25.0%
美 1
25.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0189937 × 1013
Minimum2.0141125 × 1013
Maximum2.0210429 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:44.592346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0141125 × 1013
5-th percentile2.0160755 × 1013
Q12.0180223 × 1013
median2.0190927 × 1013
Q32.0201015 × 1013
95-th percentile2.0210302 × 1013
Maximum2.0210429 × 1013
Range6.930402 × 1010
Interquartile range (IQR)2.0791969 × 1010

Descriptive statistics

Standard deviation1.6153525 × 1010
Coefficient of variation (CV)0.00080007806
Kurtosis-0.44673974
Mean2.0189937 × 1013
Median Absolute Deviation (MAD)1.0302925 × 1010
Skewness-0.55476833
Sum4.9061547 × 1015
Variance2.6093638 × 1020
MonotonicityNot monotonic
2024-04-18T07:07:44.711489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210119172350 1
 
0.4%
20210408115722 1
 
0.4%
20210107090309 1
 
0.4%
20170213171811 1
 
0.4%
20170104182706 1
 
0.4%
20210119104124 1
 
0.4%
20210324104432 1
 
0.4%
20200609143825 1
 
0.4%
20190221102219 1
 
0.4%
20210201171946 1
 
0.4%
Other values (233) 233
95.9%
ValueCountFrequency (%)
20141125164144 1
0.4%
20141218112335 1
0.4%
20150527091807 1
0.4%
20150904134508 1
0.4%
20160315134735 1
0.4%
20160503133536 1
0.4%
20160503133728 1
0.4%
20160503133900 1
0.4%
20160608115833 1
0.4%
20160608115847 1
0.4%
ValueCountFrequency (%)
20210429183739 1
0.4%
20210416160045 1
0.4%
20210414132128 1
0.4%
20210414101034 1
0.4%
20210408115722 1
0.4%
20210406191658 1
0.4%
20210405181655 1
0.4%
20210329173107 1
0.4%
20210326174627 1
0.4%
20210326171249 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
U
130 
I
113 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 130
53.5%
I 113
46.5%

Length

2024-04-18T07:07:44.824029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:44.900017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 130
53.5%
i 113
46.5%

데이터갱신일자
Date

Distinct121
Distinct (%)49.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-01 00:23:12
2024-04-18T07:07:44.989113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:07:45.105106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(x)
Real number (ℝ)

Distinct211
Distinct (%)87.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean390587.44
Minimum378401.95
Maximum400858.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:45.220603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378401.95
5-th percentile382899.66
Q1385948.05
median390615.22
Q3393445.21
95-th percentile398866.45
Maximum400858.37
Range22456.423
Interquartile range (IQR)7497.1579

Descriptive statistics

Standard deviation5199.787
Coefficient of variation (CV)0.013312735
Kurtosis-0.79193236
Mean390587.44
Median Absolute Deviation (MAD)3885.6491
Skewness0.0039637497
Sum94522161
Variance27037784
MonotonicityNot monotonic
2024-04-18T07:07:45.327119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385632.88633521 4
 
1.6%
388014.370428964 4
 
1.6%
397650.294711103 4
 
1.6%
389664.786093479 3
 
1.2%
388047.601405001 3
 
1.2%
400129.030738022 3
 
1.2%
397635.291223047 3
 
1.2%
394894.708833081 2
 
0.8%
398942.053775097 2
 
0.8%
398866.445014628 2
 
0.8%
Other values (201) 212
87.2%
ValueCountFrequency (%)
378401.951685174 1
0.4%
379468.803928641 1
0.4%
379985.435905031 1
0.4%
380398.062015138 1
0.4%
380398.692072524 1
0.4%
380819.56184204 1
0.4%
380973.65147332 1
0.4%
381069.099288615 1
0.4%
381345.772891816 1
0.4%
381758.821436315 1
0.4%
ValueCountFrequency (%)
400858.374308886 1
 
0.4%
400735.162297875 1
 
0.4%
400380.411719584 1
 
0.4%
400336.809488059 1
 
0.4%
400273.377173154 1
 
0.4%
400129.030738022 3
1.2%
400019.797358523 1
 
0.4%
400015.766063742 1
 
0.4%
398942.053775097 2
0.8%
398866.445014628 2
0.8%

좌표정보(y)
Real number (ℝ)

Distinct211
Distinct (%)87.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean185496.04
Minimum175314.29
Maximum199145.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:45.433207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175314.29
5-th percentile177508.1
Q1181709.15
median186211.84
Q3188183.9
95-th percentile194766.91
Maximum199145.4
Range23831.112
Interquartile range (IQR)6474.7506

Descriptive statistics

Standard deviation4822.4373
Coefficient of variation (CV)0.025997522
Kurtosis-0.0044058399
Mean185496.04
Median Absolute Deviation (MAD)2822.5827
Skewness0.1793167
Sum44890041
Variance23255901
MonotonicityNot monotonic
2024-04-18T07:07:45.975312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179162.615653498 4
 
1.6%
176595.034934652 4
 
1.6%
188857.967431871 4
 
1.6%
195729.022283849 3
 
1.2%
185592.49113213 3
 
1.2%
188183.89714443 3
 
1.2%
187351.142241361 3
 
1.2%
187324.866715106 2
 
0.8%
187848.185538735 2
 
0.8%
188038.176406302 2
 
0.8%
Other values (201) 212
87.2%
ValueCountFrequency (%)
175314.286676535 1
 
0.4%
175806.418407582 1
 
0.4%
176085.700465669 1
 
0.4%
176450.132857273 2
0.8%
176595.034934652 4
1.6%
176639.338163425 1
 
0.4%
176879.724980268 1
 
0.4%
177264.316079067 1
 
0.4%
177467.830588439 1
 
0.4%
178273.208846507 1
 
0.4%
ValueCountFrequency (%)
199145.399109213 1
 
0.4%
198990.797731711 1
 
0.4%
198382.615185998 1
 
0.4%
197427.835694453 1
 
0.4%
196204.517960808 1
 
0.4%
195729.022283849 3
1.2%
195694.606405523 1
 
0.4%
195011.800063567 1
 
0.4%
194843.71971991 1
 
0.4%
194835.616428662 1
 
0.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
외국인관광 도시민박업
238 
<NA>
 
5

Length

Max length11
Median length11
Mean length10.855967
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외국인관광 도시민박업
2nd row외국인관광 도시민박업
3rd row외국인관광 도시민박업
4th row외국인관광 도시민박업
5th row외국인관광 도시민박업

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 238
97.9%
<NA> 5
 
2.1%

Length

2024-04-18T07:07:46.082629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:46.259222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 238
49.5%
도시민박업 238
49.5%
na 5
 
1.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

지역구분명
Categorical

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
97 
일반주거지역
87 
일반상업지역
23 
주거지역
22 
준주거지역
 
7
Other values (3)
 
7

Length

Max length6
Median length4
Mean length4.9506173
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
39.9%
일반주거지역 87
35.8%
일반상업지역 23
 
9.5%
주거지역 22
 
9.1%
준주거지역 7
 
2.9%
상업지역 4
 
1.6%
자연녹지지역 2
 
0.8%
녹지지역 1
 
0.4%

Length

2024-04-18T07:07:46.367202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:46.467120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
39.9%
일반주거지역 87
35.8%
일반상업지역 23
 
9.5%
주거지역 22
 
9.1%
준주거지역 7
 
2.9%
상업지역 4
 
1.6%
자연녹지지역 2
 
0.8%
녹지지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)22.4%
Missing158
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean6.3411765
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:46.588761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile24.4
Maximum46
Range45
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.9236883
Coefficient of variation (CV)1.4072607
Kurtosis7.9270077
Mean6.3411765
Median Absolute Deviation (MAD)1
Skewness2.7740175
Sum539
Variance79.632213
MonotonicityNot monotonic
2024-04-18T07:07:46.688538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 27
 
11.1%
4 12
 
4.9%
3 11
 
4.5%
1 10
 
4.1%
5 6
 
2.5%
20 4
 
1.6%
8 2
 
0.8%
6 2
 
0.8%
12 1
 
0.4%
25 1
 
0.4%
Other values (9) 9
 
3.7%
(Missing) 158
65.0%
ValueCountFrequency (%)
1 10
 
4.1%
2 27
11.1%
3 11
4.5%
4 12
4.9%
5 6
 
2.5%
6 2
 
0.8%
7 1
 
0.4%
8 2
 
0.8%
10 1
 
0.4%
12 1
 
0.4%
ValueCountFrequency (%)
46 1
 
0.4%
42 1
 
0.4%
37 1
 
0.4%
26 1
 
0.4%
25 1
 
0.4%
22 1
 
0.4%
20 4
1.6%
15 1
 
0.4%
14 1
 
0.4%
12 1
 
0.4%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
176 
주택가주변
26 
아파트지역
24 
학교정화(상대)
 
9
기타
 
6
Other values (2)
 
2

Length

Max length8
Median length4
Mean length4.3374486
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
72.4%
주택가주변 26
 
10.7%
아파트지역 24
 
9.9%
학교정화(상대) 9
 
3.7%
기타 6
 
2.5%
유흥업소밀집지역 1
 
0.4%
학교정화(절대) 1
 
0.4%

Length

2024-04-18T07:07:46.809212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:46.903615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
72.4%
주택가주변 26
 
10.7%
아파트지역 24
 
9.9%
학교정화(상대 9
 
3.7%
기타 6
 
2.5%
유흥업소밀집지역 1
 
0.4%
학교정화(절대 1
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

보험기관명
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing227
Missing (%)93.4%
Memory size2.0 KiB
2024-04-18T07:07:47.065231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length13.1875
Min length6

Characters and Unicode

Total characters211
Distinct characters31
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)87.5%

Sample

1st row일반과세자(숙박업, 민박)객실3(20명)
2nd row객실수 3실
3rd row객실수2/수용인원4
4th row객실수/수용인원 : 2개/ 6명
5th row객실수/수용인원 : 2개/4명
ValueCountFrequency (%)
객실수/수용인원 5
16.7%
4
 
13.3%
2개 2
 
6.7%
6명 2
 
6.7%
객실수/수용인원:3/12 1
 
3.3%
객실수/수용인원:2/5 1
 
3.3%
객실수/수용인원:3/10 1
 
3.3%
객실수2/수용인원12 1
 
3.3%
객실수/수용인원:1/2 1
 
3.3%
2개/10명 1
 
3.3%
Other values (11) 11
36.7%
2024-04-18T07:07:47.382550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 27
12.8%
/ 25
11.8%
실 17
 
8.1%
객 16
 
7.6%
인 14
 
6.6%
14
 
6.6%
용 13
 
6.2%
원 13
 
6.2%
2 13
 
6.2%
: 11
 
5.2%
Other values (21) 48
22.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
56.9%
Other Punctuation 37
 
17.5%
Decimal Number 36
 
17.1%
Space Separator 14
 
6.6%
Open Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 27
22.5%
실 17
14.2%
객 16
13.3%
인 14
11.7%
용 13
10.8%
원 13
10.8%
개 5
 
4.2%
명 5
 
4.2%
박 2
 
1.7%
민 1
 
0.8%
Other values (7) 7
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 13
36.1%
3 6
16.7%
1 6
16.7%
4 3
 
8.3%
0 3
 
8.3%
6 3
 
8.3%
5 1
 
2.8%
8 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 25
67.6%
: 11
29.7%
, 1
 
2.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
56.9%
Common 91
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 27
22.5%
실 17
14.2%
객 16
13.3%
인 14
11.7%
용 13
10.8%
원 13
10.8%
개 5
 
4.2%
명 5
 
4.2%
박 2
 
1.7%
민 1
 
0.8%
Other values (7) 7
 
5.8%
Common
ValueCountFrequency (%)
/ 25
27.5%
14
15.4%
2 13
14.3%
: 11
12.1%
3 6
 
6.6%
1 6
 
6.6%
4 3
 
3.3%
0 3
 
3.3%
6 3
 
3.3%
( 2
 
2.2%
Other values (4) 5
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
56.9%
ASCII 91
43.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 27
22.5%
실 17
14.2%
객 16
13.3%
인 14
11.7%
용 13
10.8%
원 13
10.8%
개 5
 
4.2%
명 5
 
4.2%
박 2
 
1.7%
민 1
 
0.8%
Other values (7) 7
 
5.8%
ASCII
ValueCountFrequency (%)
/ 25
27.5%
14
15.4%
2 13
14.3%
: 11
12.1%
3 6
 
6.6%
1 6
 
6.6%
4 3
 
3.3%
0 3
 
3.3%
6 3
 
3.3%
( 2
 
2.2%
Other values (4) 5
 
5.5%

건물용도명
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
114 
단독주택
61 
아파트
47 
다세대주택
 
10
연립주택
 
7

Length

Max length15
Median length4
Mean length4.0288066
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 114
46.9%
단독주택 61
25.1%
아파트 47
19.3%
다세대주택 10
 
4.1%
연립주택 7
 
2.9%
다가구용 주택(공동주택적용) 4
 
1.6%

Length

2024-04-18T07:07:47.507035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:47.621341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
46.2%
단독주택 61
24.7%
아파트 47
19.0%
다세대주택 10
 
4.0%
연립주택 7
 
2.8%
다가구용 4
 
1.6%
주택(공동주택적용 4
 
1.6%

지상층수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)24.0%
Missing168
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean6.48
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:47.728209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile25
Maximum41
Range40
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.8307815
Coefficient of variation (CV)1.3627749
Kurtosis5.8992159
Mean6.48
Median Absolute Deviation (MAD)1
Skewness2.4537365
Sum486
Variance77.982703
MonotonicityNot monotonic
2024-04-18T07:07:47.828388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 25
 
10.3%
1 11
 
4.5%
3 8
 
3.3%
4 8
 
3.3%
6 3
 
1.2%
20 3
 
1.2%
5 3
 
1.2%
25 2
 
0.8%
11 2
 
0.8%
8 2
 
0.8%
Other values (8) 8
 
3.3%
(Missing) 168
69.1%
ValueCountFrequency (%)
1 11
4.5%
2 25
10.3%
3 8
 
3.3%
4 8
 
3.3%
5 3
 
1.2%
6 3
 
1.2%
8 2
 
0.8%
9 1
 
0.4%
11 2
 
0.8%
12 1
 
0.4%
ValueCountFrequency (%)
41 1
 
0.4%
40 1
 
0.4%
35 1
 
0.4%
25 2
0.8%
20 3
1.2%
19 1
 
0.4%
17 1
 
0.4%
15 1
 
0.4%
12 1
 
0.4%
11 2
0.8%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
218 
1
 
10
0
 
7
2
 
5
3
 
2

Length

Max length4
Median length4
Mean length3.691358
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 218
89.7%
1 10
 
4.1%
0 7
 
2.9%
2 5
 
2.1%
3 2
 
0.8%
6 1
 
0.4%

Length

2024-04-18T07:07:47.940079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:48.026186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 218
89.7%
1 10
 
4.1%
0 7
 
2.9%
2 5
 
2.1%
3 2
 
0.8%
6 1
 
0.4%

객실수
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
142 
2
35 
1
34 
3
25 
4
 
5

Length

Max length4
Median length4
Mean length2.7530864
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row<NA>
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
<NA> 142
58.4%
2 35
 
14.4%
1 34
 
14.0%
3 25
 
10.3%
4 5
 
2.1%
6 2
 
0.8%

Length

2024-04-18T07:07:48.126098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:07:48.218369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
58.4%
2 35
 
14.4%
1 34
 
14.0%
3 25
 
10.3%
4 5
 
2.1%
6 2
 
0.8%

건축연면적
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing237
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean212
Minimum39
Maximum437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:48.308261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile50.5
Q196.75
median179.5
Q3320.75
95-th percentile415.75
Maximum437
Range398
Interquartile range (IQR)224

Descriptive statistics

Standard deviation156.7852
Coefficient of variation (CV)0.73955285
Kurtosis-1.4494351
Mean212
Median Absolute Deviation (MAD)117.5
Skewness0.49817189
Sum1272
Variance24581.6
MonotonicityNot monotonic
2024-04-18T07:07:48.416942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
85 1
 
0.4%
39 1
 
0.4%
352 1
 
0.4%
132 1
 
0.4%
227 1
 
0.4%
437 1
 
0.4%
(Missing) 237
97.5%
ValueCountFrequency (%)
39 1
0.4%
85 1
0.4%
132 1
0.4%
227 1
0.4%
352 1
0.4%
437 1
0.4%
ValueCountFrequency (%)
437 1
0.4%
352 1
0.4%
227 1
0.4%
132 1
0.4%
85 1
0.4%
39 1
0.4%

영문상호명
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing200
Missing (%)82.3%
Memory size2.0 KiB
2024-04-18T07:07:48.624633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length19
Mean length14.255814
Min length4

Characters and Unicode

Total characters613
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st rowThe Little Prince
2nd rowDYD COZY HOUSE
3rd rowSIMO HOUSE
4th rowSweet Home
5th rowMATE
ValueCountFrequency (%)
house 23
22.1%
busan 7
 
6.7%
kim's 4
 
3.8%
guest 4
 
3.8%
guesthouse 3
 
2.9%
in 3
 
2.9%
ocean 2
 
1.9%
2nd 2
 
1.9%
casa 2
 
1.9%
the 2
 
1.9%
Other values (52) 52
50.0%
2024-04-18T07:07:48.948743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
10.0%
e 50
 
8.2%
o 40
 
6.5%
u 38
 
6.2%
s 38
 
6.2%
a 31
 
5.1%
H 26
 
4.2%
S 23
 
3.8%
n 23
 
3.8%
E 21
 
3.4%
Other values (42) 262
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 334
54.5%
Uppercase Letter 207
33.8%
Space Separator 61
 
10.0%
Other Punctuation 8
 
1.3%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 26
 
12.6%
S 23
 
11.1%
E 21
 
10.1%
U 16
 
7.7%
O 15
 
7.2%
B 10
 
4.8%
G 8
 
3.9%
A 8
 
3.9%
M 8
 
3.9%
P 7
 
3.4%
Other values (14) 65
31.4%
Lowercase Letter
ValueCountFrequency (%)
e 50
15.0%
o 40
12.0%
u 38
11.4%
s 38
11.4%
a 31
9.3%
n 23
6.9%
t 17
 
5.1%
m 16
 
4.8%
h 15
 
4.5%
l 12
 
3.6%
Other values (12) 54
16.2%
Other Punctuation
ValueCountFrequency (%)
' 6
75.0%
. 1
 
12.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
61
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 541
88.3%
Common 72
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 50
 
9.2%
o 40
 
7.4%
u 38
 
7.0%
s 38
 
7.0%
a 31
 
5.7%
H 26
 
4.8%
S 23
 
4.3%
n 23
 
4.3%
E 21
 
3.9%
t 17
 
3.1%
Other values (36) 234
43.3%
Common
ValueCountFrequency (%)
61
84.7%
' 6
 
8.3%
2 2
 
2.8%
. 1
 
1.4%
& 1
 
1.4%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
 
10.0%
e 50
 
8.2%
o 40
 
6.5%
u 38
 
6.2%
s 38
 
6.2%
a 31
 
5.1%
H 26
 
4.2%
S 23
 
3.8%
n 23
 
3.8%
E 21
 
3.4%
Other values (42) 262
42.7%

영문상호주소
Categorical

IMBALANCE 

Distinct18
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
201 
Foreigner Tourism City home-stay Business
 
12
Guest House
 
6
Guesthouse for Foreign Tourists
 
5
Entertainment Business for foreigner only
 
4
Other values (13)
 
15

Length

Max length41
Median length4
Mean length8.5925926
Min length4

Unique

Unique11 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th rowForeigner Tourism City home-stay Business
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 201
82.7%
Foreigner Tourism City home-stay Business 12
 
4.9%
Guest House 6
 
2.5%
Guesthouse for Foreign Tourists 5
 
2.1%
Entertainment Business for foreigner only 4
 
1.6%
Entertainment Business for Foreigner only 2
 
0.8%
Hostel(Guesthouse) 2
 
0.8%
Foreign tourist accommodation 1
 
0.4%
URBAN HOME VISIT SYSTEM FOREIGN TOURIST 1
 
0.4%
Home-stay for foreign tourists 1
 
0.4%
Other values (8) 8
 
3.3%

Length

2024-04-18T07:07:49.073995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 201
55.4%
business 20
 
5.5%
foreigner 18
 
5.0%
for 13
 
3.6%
home-stay 13
 
3.6%
tourism 12
 
3.3%
city 12
 
3.3%
foreign 11
 
3.0%
tourists 8
 
2.2%
guesthouse 8
 
2.2%
Other values (18) 47
 
12.9%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)93.9%
Missing63
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean124.63283
Minimum21.6
Maximum4478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:49.188854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.6
5-th percentile42.2425
Q166.63
median85.98
Q3127.165
95-th percentile188.575
Maximum4478
Range4456.4
Interquartile range (IQR)60.535

Descriptive statistics

Standard deviation329.34416
Coefficient of variation (CV)2.6425152
Kurtosis173.31256
Mean124.63283
Median Absolute Deviation (MAD)28.805
Skewness13.044585
Sum22433.91
Variance108467.57
MonotonicityNot monotonic
2024-04-18T07:07:49.312725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.59 3
 
1.2%
119.56 2
 
0.8%
45.5 2
 
0.8%
59.5 2
 
0.8%
165.3 2
 
0.8%
84.96 2
 
0.8%
155.31 2
 
0.8%
141.0 2
 
0.8%
62.58 2
 
0.8%
84.99 2
 
0.8%
Other values (159) 159
65.4%
(Missing) 63
 
25.9%
ValueCountFrequency (%)
21.6 1
0.4%
26.0 1
0.4%
30.0 1
0.4%
37.05 1
0.4%
37.4 1
0.4%
38.18 1
0.4%
40.26 1
0.4%
40.46 1
0.4%
40.96 1
0.4%
42.31 1
0.4%
ValueCountFrequency (%)
4478.0 1
0.4%
205.52 1
0.4%
205.29 1
0.4%
202.41 1
0.4%
202.21 1
0.4%
200.92 1
0.4%
200.89 1
0.4%
199.05 1
0.4%
197.98 1
0.4%
188.08 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

자본금
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)50.0%
Missing199
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean66643182
Minimum300000
Maximum5.4 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:49.417508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300000
5-th percentile1150000
Q110000000
median17500000
Q352500000
95-th percentile2.485 × 108
Maximum5.4 × 108
Range5.397 × 108
Interquartile range (IQR)42500000

Descriptive statistics

Standard deviation1.1218945 × 108
Coefficient of variation (CV)1.6834347
Kurtosis7.8552587
Mean66643182
Median Absolute Deviation (MAD)14000000
Skewness2.6793112
Sum2.9323 × 109
Variance1.2586472 × 1016
MonotonicityNot monotonic
2024-04-18T07:07:49.513324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10000000 11
 
4.5%
20000000 3
 
1.2%
50000000 3
 
1.2%
200000000 2
 
0.8%
30000000 2
 
0.8%
2000000 2
 
0.8%
15000000 2
 
0.8%
100000000 2
 
0.8%
1000000 2
 
0.8%
5000000 2
 
0.8%
Other values (12) 13
 
5.3%
(Missing) 199
81.9%
ValueCountFrequency (%)
300000 1
 
0.4%
1000000 2
 
0.8%
2000000 2
 
0.8%
3000000 1
 
0.4%
4000000 1
 
0.4%
5000000 2
 
0.8%
10000000 11
4.5%
15000000 2
 
0.8%
20000000 3
 
1.2%
24000000 1
 
0.4%
ValueCountFrequency (%)
540000000 1
 
0.4%
400000000 1
 
0.4%
250000000 1
 
0.4%
240000000 1
 
0.4%
200000000 2
0.8%
150000000 2
0.8%
100000000 2
0.8%
60000000 1
 
0.4%
50000000 3
1.2%
45000000 1
 
0.4%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)58.9%
Missing63
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean124.62778
Minimum22
Maximum4478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-18T07:07:49.639048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile41.95
Q166.75
median86
Q3127
95-th percentile188.5
Maximum4478
Range4456
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation329.34165
Coefficient of variation (CV)2.6426023
Kurtosis173.31875
Mean124.62778
Median Absolute Deviation (MAD)29
Skewness13.04493
Sum22433
Variance108465.92
MonotonicityNot monotonic
2024-04-18T07:07:49.784340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 14
 
5.8%
60 4
 
1.6%
63 4
 
1.6%
84 4
 
1.6%
46 3
 
1.2%
120 3
 
1.2%
83 3
 
1.2%
125 3
 
1.2%
102 3
 
1.2%
50 3
 
1.2%
Other values (96) 136
56.0%
(Missing) 63
25.9%
ValueCountFrequency (%)
22 1
0.4%
26 1
0.4%
30 1
0.4%
37 2
0.8%
38 1
0.4%
40 2
0.8%
41 1
0.4%
42 1
0.4%
43 1
0.4%
45 1
0.4%
ValueCountFrequency (%)
4478 1
0.4%
206 1
0.4%
205 1
0.4%
202 2
0.8%
201 2
0.8%
199 1
0.4%
198 1
0.4%
188 1
0.4%
186 1
0.4%
185 1
0.4%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01외국인관광도시민박업03_11_04_P3380000CDFI226221201200000120120723<NA>2휴업2휴업<NA>2021010120210630<NA><NA><NA>613800부산광역시 수영구 광안동 79-10부산광역시 수영구 무학로49번길 107 (광안동)<NA>Busan Self House(부산셀프하우스)20210119172350U2021-01-21 02:40:00.0<NA>392861.057924187229.558839외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>88.83<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>89<NA>
12외국인관광도시민박업03_11_04_P3330000CDFI226221201800000820181207<NA>2휴업2휴업<NA>2020091620210915<NA><NA><NA><NA>부산광역시 해운대구 우동 1196-12 센텀엘카사 1동 1802호부산광역시 해운대구 해운대로394번길 23, 센텀엘카사 1동 1802호 (우동)48089시오하우스20200921142913U2020-09-23 02:40:00.0<NA>394786.990802187349.216042외국인관광 도시민박업<NA>준주거지역<NA><NA><NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>67.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>67<NA>
23외국인관광도시민박업03_11_04_P3310000CDFI226221201900000320191104<NA>2휴업2휴업<NA>2020100120211001<NA><NA><NA><NA>부산광역시 남구 용호동 394-44 지영주택 103호부산광역시 남구 용호로 149-1, 103호 (용호동, 지영주택)48585이기대 외국인 숙소20201007165946U2020-10-09 02:40:00.0<NA>392482.471856182021.437019외국인관광 도시민박업<NA>일반상업지역<NA><NA><NA><NA>연립주택<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40.26<NA><NA><NA><NA><NA><NA><NA><NA>300000<NA><NA><NA>40<NA>
34외국인관광도시민박업03_11_04_P3310000CDFI226221201500000120150417<NA>2휴업2휴업<NA>2020090720201231<NA><NA><NA><NA>부산광역시 남구 대연동 1858 대연힐스테이트푸르지오부산광역시 남구 수영로 345, 101동 3503호 (대연동, 대연힐스테이트푸르지오)48432어린왕자(The Little Prince)20200907093947U2020-09-09 02:40:00.0<NA>391411.450181184553.6728외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>아파트<NA><NA>2<NA>The Little PrinceForeigner Tourism City home-stay Business<NA><NA><NA><NA><NA><NA><NA>134.54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>135<NA>
45외국인관광도시민박업03_11_04_P3310000CDFI226221201400000120140523<NA>2휴업2휴업<NA>2020120720211206<NA><NA><NA><NA>부산광역시 남구 용호동 944 오륙도 에스케이뷰 아파트 113동 103호부산광역시 남구 오륙도로 85, 113동 103호 (용호동, 오륙도 에스케이뷰 아파트)48594오륙도 게스트하우스20201208131106U2020-12-10 02:40:00.0<NA>393163.706837180257.324526외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200.89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201<NA>
56외국인관광도시민박업03_11_04_P3310000CDFI226221201900000120190621<NA>2휴업2휴업<NA>2020082620201230<NA><NA><NA><NA>부산광역시 남구 대연동 1798-34부산광역시 남구 진남로96번길 51 (대연동)48450DYD COZY HOUSE20200827101824U2020-08-29 02:40:00.0<NA>389849.703106184267.280599외국인관광 도시민박업<NA>일반주거지역3<NA><NA><NA>단독주택211<NA>DYD COZY HOUSEOversea Travel Business<NA><NA><NA><NA><NA><NA><NA>62.58<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>63<NA>
67외국인관광도시민박업03_11_04_P3280000CDFI226221201500000320150909<NA>2휴업2휴업<NA>2019070420210704<NA><NA><NA><NA>부산광역시 영도구 청학동 418-12부산광역시 영도구 청학서로 11-3 (청학동)49030심오한 하우스(심오한 집)20210205133204U2021-02-07 02:40:00.0<NA>387521.596006178911.722763외국인관광 도시민박업<NA>일반주거지역<NA>주택가주변<NA><NA>단독주택1<NA>2<NA>SIMO HOUSEGuesthouse for Foreign Tourists<NA><NA><NA><NA><NA><NA><NA>62.07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>62<NA>
78외국인관광도시민박업03_11_04_P3250000CDFI226221201500000120150813<NA>2휴업2휴업<NA>2018111320190530<NA><NA><NA><NA>부산광역시 중구 부평동1가 20-9번지 3층부산광역시 중구 중구로39번길 24, 3층 (부평동1가)<NA>게스트하우스부산깡통야시장20200120131608U2020-01-22 02:40:00.0<NA>384718.571177179917.441083외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40.96<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>41<NA>
89외국인관광도시민박업03_11_04_P3390000CDFI226221201500000320151106<NA>3폐업3폐업20200626<NA><NA><NA>051-333-9009<NA><NA>부산광역시 사상구 모라동 1357 우성아파트 102동 1403호부산광역시 사상구 백양대로 906, 102동 1403호 (모라동, 우성아파트)<NA>스위트홈20200626100635U2020-06-28 02:40:00.0<NA>381345.772892189447.844868외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Sweet HomeGuesthouse for foreign tourists<NA><NA><NA><NA><NA><NA><NA>123.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>123<NA>
910외국인관광도시민박업03_11_04_P3390000CDFI226221201900000120190802<NA>3폐업3폐업20201223<NA><NA><NA><NA><NA><NA>부산광역시 사상구 모라동 1380 사상구남역동원로얄듀크부산광역시 사상구 백양대로934번길 94, 106동 105호 (모라동, 사상구남역동원로얄듀크)46927양화림20210326174627U2021-03-28 02:40:00.0<NA><NA><NA>외국인관광 도시민박업<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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
233234외국인관광도시민박업03_11_04_P3260000CDFI226221201900000420190805<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 암남동 581-2번지부산광역시 서구 암남공원로 17-9 (암남동)49275호호네20190805150530I2019-08-07 02:21:55.0<NA>383758.309356176879.72498외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA>다세대주택<NA><NA><NA><NA>HoHo's HouseGuest House<NA><NA><NA><NA><NA><NA><NA>65.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>65<NA>
234235외국인관광도시민박업03_11_04_P3260000CDFI226221201900000320190718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 암남동 600-5번지부산광역시 서구 장군산로 47-15 (암남동)49270아이비 하우스20190718175936I2019-07-20 02:21:41.0<NA>383794.86731176639.338163외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA>단독주택<NA><NA><NA><NA>IVY HOUSEGuest house<NA><NA><NA><NA><NA><NA><NA>92.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>92<NA>
235236외국인관광도시민박업03_11_04_P3260000CDFI226221201900000220190513<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 토성동5가 38-9번지부산광역시 서구 구덕로124번길 13, 2층 (토성동5가)49246비건민박20190513112627I2019-05-15 02:21:01.0<NA>384348.824336179453.946239외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>다세대주택<NA><NA><NA><NA>Vegan Guest HouseGuest House<NA><NA><NA><NA><NA><NA><NA>73.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>73<NA>
236237외국인관광도시민박업03_11_04_P3260000CDFI226221201900000120190311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 서대신동3가 6-7번지 3층부산광역시 서구 엄광산로 20, 3층 (서대신동3가)49200DUCO20200331115125U2020-04-02 02:40:00.0<NA>383026.653734182851.737585외국인관광 도시민박업<NA>자연녹지지역<NA><NA><NA><NA>다세대주택3<NA><NA><NA>DUCOGuest House<NA><NA><NA><NA><NA><NA><NA>87.71<NA><NA><NA><NA><NA><NA><NA><NA>5000000<NA><NA><NA>88<NA>
237238외국인관광도시민박업03_11_04_P3250000CDFI226221201800000120180309<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 40-19부산광역시 중구 대청로135번길 15, 6층 (중앙동4가)48928단디하우스20201031173137U2020-11-03 02:40:00.0<NA>385445.37622180233.460463외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51.62<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>52<NA>
238239외국인관광도시민박업03_11_04_P3250000CDFI226221201900000320191111<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 282-19번지부산광역시 중구 망양로 380 (영주동)48917월드굿즈20191111112805I2019-11-13 00:23:24.0<NA>385029.513372180933.726369외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70.81<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>71<NA>
239240외국인관광도시민박업03_11_04_P3250000CDFI226221201900000520191211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동4가 72-42번지부산광역시 중구 망양로329번길 2-1 (대청동4가)48904Ocean&Sky Baba20200120102352U2020-01-22 02:40:00.0<NA>384960.959605180556.061358외국인관광 도시민박업<NA>일반주거지역<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>93.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>94<NA>
240241외국인관광도시민박업03_11_04_P3250000CDFI226221201900000420191210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동4가 1-1부산광역시 중구 대청로135번길 3-1, 5층 (동광동4가)48932공공하우스20201031173406U2020-11-03 02:40:00.0<NA>385431.649641180114.830298외국인관광 도시민박업<NA>일반상업지역<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>181.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>182<NA>
241242외국인관광도시민박업03_11_04_P3250000CDFI226221201900000220190628<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 21-8부산광역시 중구 중구로29번길 38, 4층 (부평동2가)48977제이온게스트하우스20201031173301U2020-11-03 02:40:00.0<NA>384650.381654179818.661057외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38.18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38<NA>
242243외국인관광도시민박업03_11_04_P3250000CDFI226221201900000120190215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 보수동1가 116-156부산광역시 중구 책방골목길 13-11 (보수동1가)48967보수동방공호20201031173213U2020-11-03 02:40:00.0<NA>384707.493862180168.558708외국인관광 도시민박업<NA>일반상업지역3<NA><NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>167.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>168<NA>