Overview

Dataset statistics

Number of variables51
Number of observations4136
Missing cells55791
Missing cells (%)26.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory442.0 B

Variable types

Numeric21
Categorical13
Text6
Unsupported8
DateTime1
Boolean2

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123066

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
발한실여부 is highly imbalanced (97.1%)Imbalance
다중이용업소여부 is highly imbalanced (98.2%)Imbalance
인허가취소일자 has 4136 (100.0%) missing valuesMissing
폐업일자 has 2060 (49.8%) missing valuesMissing
휴업시작일자 has 4136 (100.0%) missing valuesMissing
휴업종료일자 has 4136 (100.0%) missing valuesMissing
재개업일자 has 4136 (100.0%) missing valuesMissing
소재지전화 has 441 (10.7%) missing valuesMissing
도로명전체주소 has 1272 (30.8%) missing valuesMissing
도로명우편번호 has 1430 (34.6%) missing valuesMissing
좌표정보(x) has 278 (6.7%) missing valuesMissing
좌표정보(y) has 278 (6.7%) missing valuesMissing
건물지상층수 has 661 (16.0%) missing valuesMissing
건물지하층수 has 940 (22.7%) missing valuesMissing
사용시작지상층 has 761 (18.4%) missing valuesMissing
사용끝지상층 has 1175 (28.4%) missing valuesMissing
사용시작지하층 has 1137 (27.5%) missing valuesMissing
사용끝지하층 has 1613 (39.0%) missing valuesMissing
한실수 has 563 (13.6%) missing valuesMissing
양실수 has 289 (7.0%) missing valuesMissing
욕실수 has 1043 (25.2%) missing valuesMissing
좌석수 has 1081 (26.1%) missing valuesMissing
조건부허가신고사유 has 4136 (100.0%) missing valuesMissing
조건부허가시작일자 has 4136 (100.0%) missing valuesMissing
조건부허가종료일자 has 4136 (100.0%) missing valuesMissing
여성종사자수 has 3811 (92.1%) missing valuesMissing
남성종사자수 has 3809 (92.1%) missing valuesMissing
Unnamed: 50 has 4136 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -24.4391372)Skewed
폐업일자 is highly skewed (γ1 = -38.17025086)Skewed
사용끝지하층 is highly skewed (γ1 = 22.71883376)Skewed
한실수 is highly skewed (γ1 = 21.17900702)Skewed
좌석수 is highly skewed (γ1 = 37.35368006)Skewed
번호 has unique valuesUnique
관리번호 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
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 50 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물지상층수 has 1267 (30.6%) zerosZeros
건물지하층수 has 2237 (54.1%) zerosZeros
사용시작지상층 has 1202 (29.1%) zerosZeros
사용끝지상층 has 964 (23.3%) zerosZeros
사용시작지하층 has 2870 (69.4%) zerosZeros
사용끝지하층 has 2403 (58.1%) zerosZeros
한실수 has 1933 (46.7%) zerosZeros
양실수 has 523 (12.6%) zerosZeros
욕실수 has 2999 (72.5%) zerosZeros
좌석수 has 3050 (73.7%) zerosZeros
여성종사자수 has 310 (7.5%) zerosZeros
남성종사자수 has 300 (7.3%) zerosZeros

Reproduction

Analysis started2024-04-17 01:21:31.878704
Analysis finished2024-04-17 01:21:33.016350
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2068.5
Minimum1
Maximum4136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:33.290872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile207.75
Q11034.75
median2068.5
Q33102.25
95-th percentile3929.25
Maximum4136
Range4135
Interquartile range (IQR)2067.5

Descriptive statistics

Standard deviation1194.1047
Coefficient of variation (CV)0.57728049
Kurtosis-1.2
Mean2068.5
Median Absolute Deviation (MAD)1034
Skewness0
Sum8555316
Variance1425886
MonotonicityStrictly increasing
2024-04-17T10:21:33.397750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2780 1
 
< 0.1%
2750 1
 
< 0.1%
2751 1
 
< 0.1%
2752 1
 
< 0.1%
2753 1
 
< 0.1%
2754 1
 
< 0.1%
2755 1
 
< 0.1%
2756 1
 
< 0.1%
2757 1
 
< 0.1%
Other values (4126) 4126
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4136 1
< 0.1%
4135 1
< 0.1%
4134 1
< 0.1%
4133 1
< 0.1%
4132 1
< 0.1%
4131 1
< 0.1%
4130 1
< 0.1%
4129 1
< 0.1%
4128 1
< 0.1%
4127 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
숙박업
4136 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업 4136
100.0%

Length

2024-04-17T10:21:33.498557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:33.576310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업 4136
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
03_11_03_P
4136 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_03_P
2nd row03_11_03_P
3rd row03_11_03_P
4th row03_11_03_P
5th row03_11_03_P

Common Values

ValueCountFrequency (%)
03_11_03_P 4136
100.0%

Length

2024-04-17T10:21:33.659981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:33.736174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_03_p 4136
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3318721
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:33.806438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation42920.962
Coefficient of variation (CV)0.012932983
Kurtosis-0.97336845
Mean3318721
Median Absolute Deviation (MAD)30000
Skewness0.27205671
Sum1.372623 × 1010
Variance1.842209 × 109
MonotonicityNot monotonic
2024-04-17T10:21:33.915117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 551
13.3%
3290000 528
12.8%
3300000 443
10.7%
3390000 338
8.2%
3270000 323
 
7.8%
3320000 286
 
6.9%
3250000 237
 
5.7%
3380000 233
 
5.6%
3260000 199
 
4.8%
3370000 186
 
4.5%
Other values (6) 812
19.6%
ValueCountFrequency (%)
3250000 237
5.7%
3260000 199
 
4.8%
3270000 323
7.8%
3280000 167
 
4.0%
3290000 528
12.8%
3300000 443
10.7%
3310000 129
 
3.1%
3320000 286
6.9%
3330000 551
13.3%
3340000 170
 
4.1%
ValueCountFrequency (%)
3400000 102
 
2.5%
3390000 338
8.2%
3380000 233
5.6%
3370000 186
 
4.5%
3360000 73
 
1.8%
3350000 171
 
4.1%
3340000 170
 
4.1%
3330000 551
13.3%
3320000 286
6.9%
3310000 129
 
3.1%

관리번호
Text

UNIQUE 

Distinct4136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-04-17T10:21:34.092267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters90992
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

Unique4136 ?
Unique (%)100.0%

Sample

1st row3330000-201-2020-00002
2nd row3380000-214-2020-00002
3rd row3270000-201-2000-00001
4th row3320000-201-1994-00052
5th row3320000-201-1980-00318
ValueCountFrequency (%)
3330000-201-2020-00002 1
 
< 0.1%
3390000-201-2002-00003 1
 
< 0.1%
3390000-201-2002-00036 1
 
< 0.1%
3390000-201-2015-00001 1
 
< 0.1%
3390000-201-2003-00016 1
 
< 0.1%
3390000-201-1999-00349 1
 
< 0.1%
3390000-201-1999-00366 1
 
< 0.1%
3390000-201-1979-00354 1
 
< 0.1%
3390000-201-1989-00472 1
 
< 0.1%
3390000-201-2002-00008 1
 
< 0.1%
Other values (4126) 4126
99.8%
2024-04-17T10:21:34.387863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35349
38.8%
- 12408
 
13.6%
1 9808
 
10.8%
2 9274
 
10.2%
3 9198
 
10.1%
9 5072
 
5.6%
8 2490
 
2.7%
7 2415
 
2.7%
4 1832
 
2.0%
6 1653
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78584
86.4%
Dash Punctuation 12408
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35349
45.0%
1 9808
 
12.5%
2 9274
 
11.8%
3 9198
 
11.7%
9 5072
 
6.5%
8 2490
 
3.2%
7 2415
 
3.1%
4 1832
 
2.3%
6 1653
 
2.1%
5 1493
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 12408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90992
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35349
38.8%
- 12408
 
13.6%
1 9808
 
10.8%
2 9274
 
10.2%
3 9198
 
10.1%
9 5072
 
5.6%
8 2490
 
2.7%
7 2415
 
2.7%
4 1832
 
2.0%
6 1653
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35349
38.8%
- 12408
 
13.6%
1 9808
 
10.8%
2 9274
 
10.2%
3 9198
 
10.1%
9 5072
 
5.6%
8 2490
 
2.7%
7 2415
 
2.7%
4 1832
 
2.0%
6 1653
 
1.8%

인허가일자
Real number (ℝ)

SKEWED 

Distinct3252
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19902912
Minimum9720721
Maximum20210426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:34.516911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9720721
5-th percentile19690118
Q119780926
median19881219
Q320021108
95-th percentile20170812
Maximum20210426
Range10489705
Interquartile range (IQR)240181.5

Descriptive statistics

Standard deviation218368.2
Coefficient of variation (CV)0.010971671
Kurtosis1142.3516
Mean19902912
Median Absolute Deviation (MAD)129190
Skewness-24.439137
Sum8.2318444 × 1010
Variance4.7684669 × 1010
MonotonicityNot monotonic
2024-04-17T10:21:34.656551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19630110 8
 
0.2%
20010927 7
 
0.2%
20011130 6
 
0.1%
20020126 6
 
0.1%
20010206 6
 
0.1%
20010616 6
 
0.1%
20030819 5
 
0.1%
19721002 5
 
0.1%
20030410 5
 
0.1%
20030908 5
 
0.1%
Other values (3242) 4077
98.6%
ValueCountFrequency (%)
9720721 1
 
< 0.1%
19600110 1
 
< 0.1%
19600407 1
 
< 0.1%
19601121 2
 
< 0.1%
19601128 1
 
< 0.1%
19610225 1
 
< 0.1%
19620711 1
 
< 0.1%
19621015 1
 
< 0.1%
19621130 1
 
< 0.1%
19630110 8
0.2%
ValueCountFrequency (%)
20210426 1
< 0.1%
20210416 1
< 0.1%
20210406 1
< 0.1%
20210401 1
< 0.1%
20210331 2
< 0.1%
20210322 1
< 0.1%
20210217 1
< 0.1%
20210209 1
< 0.1%
20210122 1
< 0.1%
20210115 2
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
3
2076 
1
2060 

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 (%)
3 2076
50.2%
1 2060
49.8%

Length

2024-04-17T10:21:34.785378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:34.888055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2076
50.2%
1 2060
49.8%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
폐업
2076 
영업/정상
2060 

Length

Max length5
Median length2
Mean length3.4941973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2076
50.2%
영업/정상 2060
49.8%

Length

2024-04-17T10:21:35.008119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:35.109277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2076
50.2%
영업/정상 2060
49.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2
2076 
1
2060 

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 (%)
2 2076
50.2%
1 2060
49.8%

Length

2024-04-17T10:21:35.199950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:35.284289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2076
50.2%
1 2060
49.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
폐업
2076 
영업
2060 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2076
50.2%
영업 2060
49.8%

Length

2024-04-17T10:21:35.379454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:35.469371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2076
50.2%
영업 2060
49.8%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1459
Distinct (%)70.3%
Missing2060
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean20089528
Minimum11111111
Maximum21020711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:35.572403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile19990284
Q120041022
median20090312
Q320151103
95-th percentile20200212
Maximum21020711
Range9909600
Interquartile range (IQR)110081.25

Descriptive statistics

Standard deviation209047.18
Coefficient of variation (CV)0.010405779
Kurtosis1641.8039
Mean20089528
Median Absolute Deviation (MAD)50810
Skewness-38.170251
Sum4.1705861 × 1010
Variance4.3700725 × 1010
MonotonicityNot monotonic
2024-04-17T10:21:35.700748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041022 90
 
2.2%
20030122 32
 
0.8%
20120711 26
 
0.6%
20021024 19
 
0.5%
20030305 13
 
0.3%
20030101 12
 
0.3%
20030227 11
 
0.3%
20051117 10
 
0.2%
20030901 9
 
0.2%
20030123 9
 
0.2%
Other values (1449) 1845
44.6%
(Missing) 2060
49.8%
ValueCountFrequency (%)
11111111 1
< 0.1%
19890523 1
< 0.1%
19900727 1
< 0.1%
19930125 1
< 0.1%
19930727 1
< 0.1%
19931117 1
< 0.1%
19931224 1
< 0.1%
19931229 1
< 0.1%
19940926 1
< 0.1%
19950124 1
< 0.1%
ValueCountFrequency (%)
21020711 1
< 0.1%
20210416 2
< 0.1%
20210412 1
< 0.1%
20210405 1
< 0.1%
20210331 1
< 0.1%
20210329 2
< 0.1%
20210326 1
< 0.1%
20210325 1
< 0.1%
20210324 1
< 0.1%
20210319 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB

소재지전화
Text

MISSING 

Distinct3406
Distinct (%)92.2%
Missing441
Missing (%)10.7%
Memory size32.4 KiB
2024-04-17T10:21:35.938186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.790257
Min length3

Characters and Unicode

Total characters39870
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

Unique3313 ?
Unique (%)89.7%

Sample

1st row051 4662227
2nd row051 3422892
3rd row051 3320338
4th row051 3331791
5th row051 755 1408
ValueCountFrequency (%)
051 3518
44.1%
070 28
 
0.4%
747 23
 
0.3%
746 19
 
0.2%
416 17
 
0.2%
555 17
 
0.2%
805 16
 
0.2%
744 16
 
0.2%
809 15
 
0.2%
558 14
 
0.2%
Other values (3578) 4302
53.9%
2024-04-17T10:21:36.316346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6643
16.7%
0 6207
15.6%
1 6020
15.1%
4337
10.9%
2 2821
7.1%
3 2795
7.0%
4 2551
 
6.4%
7 2479
 
6.2%
6 2434
 
6.1%
8 2205
 
5.5%
Other values (2) 1378
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35522
89.1%
Space Separator 4337
 
10.9%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6643
18.7%
0 6207
17.5%
1 6020
16.9%
2 2821
7.9%
3 2795
7.9%
4 2551
 
7.2%
7 2479
 
7.0%
6 2434
 
6.9%
8 2205
 
6.2%
9 1367
 
3.8%
Space Separator
ValueCountFrequency (%)
4337
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6643
16.7%
0 6207
15.6%
1 6020
15.1%
4337
10.9%
2 2821
7.1%
3 2795
7.0%
4 2551
 
6.4%
7 2479
 
6.2%
6 2434
 
6.1%
8 2205
 
5.5%
Other values (2) 1378
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6643
16.7%
0 6207
15.6%
1 6020
15.1%
4337
10.9%
2 2821
7.1%
3 2795
7.0%
4 2551
 
6.4%
7 2479
 
6.2%
6 2434
 
6.1%
8 2205
 
5.5%
Other values (2) 1378
 
3.5%
Distinct3397
Distinct (%)82.7%
Missing27
Missing (%)0.7%
Memory size32.4 KiB
2024-04-17T10:21:36.625125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.8943782
Min length3

Characters and Unicode

Total characters24220
Distinct characters12
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

Unique3174 ?
Unique (%)77.2%

Sample

1st row163.42
2nd row217.76
3rd row576.37
4th row.00
5th row.00
ValueCountFrequency (%)
00 465
 
11.3%
66.00 4
 
0.1%
1,205.40 3
 
0.1%
66.27 3
 
0.1%
163.42 3
 
0.1%
1,649.68 3
 
0.1%
55.00 3
 
0.1%
1,406.39 3
 
0.1%
1,095.16 3
 
0.1%
352.80 3
 
0.1%
Other values (3387) 3616
88.0%
2024-04-17T10:21:37.050387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4109
17.0%
0 3221
13.3%
1 2620
10.8%
2 2021
8.3%
4 1815
7.5%
3 1770
7.3%
6 1653
6.8%
5 1631
 
6.7%
8 1606
 
6.6%
7 1486
 
6.1%
Other values (2) 2288
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19301
79.7%
Other Punctuation 4919
 
20.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3221
16.7%
1 2620
13.6%
2 2021
10.5%
4 1815
9.4%
3 1770
9.2%
6 1653
8.6%
5 1631
8.5%
8 1606
8.3%
7 1486
7.7%
9 1478
7.7%
Other Punctuation
ValueCountFrequency (%)
. 4109
83.5%
, 810
 
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 24220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4109
17.0%
0 3221
13.3%
1 2620
10.8%
2 2021
8.3%
4 1815
7.5%
3 1770
7.3%
6 1653
6.8%
5 1631
 
6.7%
8 1606
 
6.6%
7 1486
 
6.1%
Other values (2) 2288
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4109
17.0%
0 3221
13.3%
1 2620
10.8%
2 2021
8.3%
4 1815
7.5%
3 1770
7.3%
6 1653
6.8%
5 1631
 
6.7%
8 1606
 
6.6%
7 1486
 
6.1%
Other values (2) 2288
9.4%

소재지우편번호
Real number (ℝ)

Distinct475
Distinct (%)11.5%
Missing13
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean610553.25
Minimum600011
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:37.189190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600809
Q1606800
median612040
Q3614847
95-th percentile617827
Maximum619953
Range19942
Interquartile range (IQR)8047

Descriptive statistics

Standard deviation5650.4128
Coefficient of variation (CV)0.0092545782
Kurtosis-1.0363006
Mean610553.25
Median Absolute Deviation (MAD)4209
Skewness-0.3596306
Sum2.517311 × 109
Variance31927164
MonotonicityNot monotonic
2024-04-17T10:21:37.317787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612821 162
 
3.9%
616801 128
 
3.1%
612040 112
 
2.7%
612847 97
 
2.3%
607833 89
 
2.2%
613828 74
 
1.8%
601829 73
 
1.8%
617807 68
 
1.6%
607831 63
 
1.5%
607842 57
 
1.4%
Other values (465) 3200
77.4%
ValueCountFrequency (%)
600011 3
 
0.1%
600012 5
 
0.1%
600014 1
 
< 0.1%
600015 1
 
< 0.1%
600016 3
 
0.1%
600021 1
 
< 0.1%
600022 14
0.3%
600023 13
0.3%
600024 1
 
< 0.1%
600025 4
 
0.1%
ValueCountFrequency (%)
619953 2
 
< 0.1%
619952 9
0.2%
619951 2
 
< 0.1%
619913 2
 
< 0.1%
619912 13
0.3%
619906 13
0.3%
619905 11
0.3%
619904 19
0.5%
619903 9
0.2%
619902 3
 
0.1%
Distinct3894
Distinct (%)94.2%
Missing1
Missing (%)< 0.1%
Memory size32.4 KiB
2024-04-17T10:21:37.592855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length22.273277
Min length16

Characters and Unicode

Total characters92100
Distinct characters265
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3689 ?
Unique (%)89.2%

Sample

1st row부산광역시 해운대구 송정동 297-16
2nd row부산광역시 수영구 민락동 181-154번지 오션브릿지
3rd row부산광역시 동구 초량동 43-13번지
4th row부산광역시 북구 구포동 406-1번지 T통B반
5th row부산광역시 북구 구포동 1067-11번지 T통B반
ValueCountFrequency (%)
부산광역시 4135
23.5%
해운대구 551
 
3.1%
부산진구 528
 
3.0%
동래구 443
 
2.5%
t통b반 434
 
2.5%
사상구 338
 
1.9%
동구 323
 
1.8%
온천동 322
 
1.8%
북구 288
 
1.6%
부전동 255
 
1.5%
Other values (4062) 9956
56.7%
2024-04-17T10:21:38.003552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13438
 
14.6%
5046
 
5.5%
4881
 
5.3%
4862
 
5.3%
4311
 
4.7%
4258
 
4.6%
1 4159
 
4.5%
4150
 
4.5%
4137
 
4.5%
- 3872
 
4.2%
Other values (255) 38986
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54295
59.0%
Decimal Number 19307
 
21.0%
Space Separator 13438
 
14.6%
Dash Punctuation 3872
 
4.2%
Uppercase Letter 905
 
1.0%
Other Punctuation 100
 
0.1%
Math Symbol 67
 
0.1%
Close Punctuation 58
 
0.1%
Open Punctuation 58
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5046
 
9.3%
4881
 
9.0%
4862
 
9.0%
4311
 
7.9%
4258
 
7.8%
4150
 
7.6%
4137
 
7.6%
3455
 
6.4%
3353
 
6.2%
748
 
1.4%
Other values (222) 15094
27.8%
Uppercase Letter
ValueCountFrequency (%)
B 438
48.4%
T 437
48.3%
A 7
 
0.8%
E 3
 
0.3%
L 3
 
0.3%
C 3
 
0.3%
O 3
 
0.3%
N 2
 
0.2%
G 2
 
0.2%
K 2
 
0.2%
Other values (5) 5
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 4159
21.5%
2 2552
13.2%
3 2045
10.6%
4 1971
10.2%
5 1909
9.9%
6 1483
 
7.7%
0 1443
 
7.5%
7 1390
 
7.2%
8 1241
 
6.4%
9 1114
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 98
98.0%
& 1
 
1.0%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
13438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3872
100.0%
Math Symbol
ValueCountFrequency (%)
~ 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54295
59.0%
Common 36900
40.1%
Latin 905
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5046
 
9.3%
4881
 
9.0%
4862
 
9.0%
4311
 
7.9%
4258
 
7.8%
4150
 
7.6%
4137
 
7.6%
3455
 
6.4%
3353
 
6.2%
748
 
1.4%
Other values (222) 15094
27.8%
Common
ValueCountFrequency (%)
13438
36.4%
1 4159
 
11.3%
- 3872
 
10.5%
2 2552
 
6.9%
3 2045
 
5.5%
4 1971
 
5.3%
5 1909
 
5.2%
6 1483
 
4.0%
0 1443
 
3.9%
7 1390
 
3.8%
Other values (8) 2638
 
7.1%
Latin
ValueCountFrequency (%)
B 438
48.4%
T 437
48.3%
A 7
 
0.8%
E 3
 
0.3%
L 3
 
0.3%
C 3
 
0.3%
O 3
 
0.3%
N 2
 
0.2%
G 2
 
0.2%
K 2
 
0.2%
Other values (5) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54295
59.0%
ASCII 37805
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13438
35.5%
1 4159
 
11.0%
- 3872
 
10.2%
2 2552
 
6.8%
3 2045
 
5.4%
4 1971
 
5.2%
5 1909
 
5.0%
6 1483
 
3.9%
0 1443
 
3.8%
7 1390
 
3.7%
Other values (23) 3543
 
9.4%
Hangul
ValueCountFrequency (%)
5046
 
9.3%
4881
 
9.0%
4862
 
9.0%
4311
 
7.9%
4258
 
7.8%
4150
 
7.6%
4137
 
7.6%
3455
 
6.4%
3353
 
6.2%
748
 
1.4%
Other values (222) 15094
27.8%

도로명전체주소
Text

MISSING 

Distinct2783
Distinct (%)97.2%
Missing1272
Missing (%)30.8%
Memory size32.4 KiB
2024-04-17T10:21:38.295039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length61
Mean length27.613128
Min length18

Characters and Unicode

Total characters79084
Distinct characters308
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2709 ?
Unique (%)94.6%

Sample

1st row부산광역시 해운대구 송정해변로 28-3 (송정동)
2nd row부산광역시 수영구 광안해변로278번길 42, 오션브릿지 13층 A1302호 (민락동)
3rd row부산광역시 동구 고관로13번가길 22 (초량동)
4th row부산광역시 수영구 남천바다로33번길 12, 6~8층 (광안동)
5th row부산광역시 수영구 광안로61번가길 3 (민락동)
ValueCountFrequency (%)
부산광역시 2864
 
19.3%
해운대구 442
 
3.0%
부산진구 361
 
2.4%
동래구 300
 
2.0%
사상구 252
 
1.7%
동구 241
 
1.6%
온천동 211
 
1.4%
부전동 196
 
1.3%
중구 192
 
1.3%
수영구 182
 
1.2%
Other values (2211) 9602
64.7%
2024-04-17T10:21:38.760134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11979
 
15.1%
3690
 
4.7%
3566
 
4.5%
3383
 
4.3%
3199
 
4.0%
3046
 
3.9%
1 2966
 
3.8%
2928
 
3.7%
2868
 
3.6%
) 2805
 
3.5%
Other values (298) 38654
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47173
59.6%
Decimal Number 12721
 
16.1%
Space Separator 11979
 
15.1%
Close Punctuation 2805
 
3.5%
Open Punctuation 2805
 
3.5%
Dash Punctuation 870
 
1.1%
Other Punctuation 510
 
0.6%
Math Symbol 158
 
0.2%
Uppercase Letter 62
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3690
 
7.8%
3566
 
7.6%
3383
 
7.2%
3199
 
6.8%
3046
 
6.5%
2928
 
6.2%
2868
 
6.1%
2730
 
5.8%
1919
 
4.1%
1807
 
3.8%
Other values (264) 18037
38.2%
Uppercase Letter
ValueCountFrequency (%)
A 21
33.9%
B 14
22.6%
K 3
 
4.8%
C 3
 
4.8%
L 3
 
4.8%
E 3
 
4.8%
T 3
 
4.8%
O 3
 
4.8%
N 2
 
3.2%
G 2
 
3.2%
Other values (5) 5
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 2966
23.3%
2 1960
15.4%
3 1437
11.3%
4 1080
 
8.5%
5 1040
 
8.2%
6 911
 
7.2%
7 889
 
7.0%
0 850
 
6.7%
9 821
 
6.5%
8 767
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 504
98.8%
. 5
 
1.0%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
11979
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2805
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2805
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%
Math Symbol
ValueCountFrequency (%)
~ 158
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47173
59.6%
Common 31848
40.3%
Latin 63
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3690
 
7.8%
3566
 
7.6%
3383
 
7.2%
3199
 
6.8%
3046
 
6.5%
2928
 
6.2%
2868
 
6.1%
2730
 
5.8%
1919
 
4.1%
1807
 
3.8%
Other values (264) 18037
38.2%
Common
ValueCountFrequency (%)
11979
37.6%
1 2966
 
9.3%
) 2805
 
8.8%
( 2805
 
8.8%
2 1960
 
6.2%
3 1437
 
4.5%
4 1080
 
3.4%
5 1040
 
3.3%
6 911
 
2.9%
7 889
 
2.8%
Other values (8) 3976
 
12.5%
Latin
ValueCountFrequency (%)
A 21
33.3%
B 14
22.2%
K 3
 
4.8%
C 3
 
4.8%
L 3
 
4.8%
E 3
 
4.8%
T 3
 
4.8%
O 3
 
4.8%
N 2
 
3.2%
G 2
 
3.2%
Other values (6) 6
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47173
59.6%
ASCII 31911
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11979
37.5%
1 2966
 
9.3%
) 2805
 
8.8%
( 2805
 
8.8%
2 1960
 
6.1%
3 1437
 
4.5%
4 1080
 
3.4%
5 1040
 
3.3%
6 911
 
2.9%
7 889
 
2.8%
Other values (24) 4039
 
12.7%
Hangul
ValueCountFrequency (%)
3690
 
7.8%
3566
 
7.6%
3383
 
7.2%
3199
 
6.8%
3046
 
6.5%
2928
 
6.2%
2868
 
6.1%
2730
 
5.8%
1919
 
4.1%
1807
 
3.8%
Other values (264) 18037
38.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct532
Distinct (%)19.7%
Missing1430
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean47900.858
Minimum46023
Maximum49527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:38.910492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46023
5-th percentile46321
Q147253
median48070
Q348738
95-th percentile49269
Maximum49527
Range3504
Interquartile range (IQR)1485

Descriptive statistics

Standard deviation894.37171
Coefficient of variation (CV)0.018671309
Kurtosis-0.88585608
Mean47900.858
Median Absolute Deviation (MAD)774
Skewness-0.15498778
Sum1.2961972 × 108
Variance799900.75
MonotonicityNot monotonic
2024-04-17T10:21:39.037606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48094 94
 
2.3%
48095 65
 
1.6%
49269 50
 
1.2%
48072 47
 
1.1%
48093 45
 
1.1%
48303 43
 
1.0%
48283 39
 
0.9%
48055 39
 
0.9%
48816 36
 
0.9%
46964 32
 
0.8%
Other values (522) 2216
53.6%
(Missing) 1430
34.6%
ValueCountFrequency (%)
46023 2
 
< 0.1%
46027 8
0.2%
46032 1
 
< 0.1%
46033 1
 
< 0.1%
46036 2
 
< 0.1%
46044 11
0.3%
46056 4
 
0.1%
46057 7
0.2%
46058 3
 
0.1%
46065 1
 
< 0.1%
ValueCountFrequency (%)
49527 1
 
< 0.1%
49524 7
0.2%
49523 3
0.1%
49511 1
 
< 0.1%
49509 3
0.1%
49482 1
 
< 0.1%
49476 1
 
< 0.1%
49475 2
 
< 0.1%
49474 1
 
< 0.1%
49460 1
 
< 0.1%
Distinct3182
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-04-17T10:21:39.329722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length5.1320116
Min length1

Characters and Unicode

Total characters21226
Distinct characters621
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2656 ?
Unique (%)64.2%

Sample

1st row둥지(펜션)
2nd row브라운도트호텔 민락점
3rd row그랜드모텔
4th row별궁장
5th row신세계
ValueCountFrequency (%)
호텔 142
 
2.9%
모텔 87
 
1.8%
게스트하우스 49
 
1.0%
여관 41
 
0.8%
hotel 33
 
0.7%
해운대 22
 
0.4%
21
 
0.4%
부산 20
 
0.4%
여인숙 17
 
0.3%
브라운도트호텔 14
 
0.3%
Other values (3268) 4471
90.9%
2024-04-17T10:21:39.716266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1482
 
7.0%
999
 
4.7%
892
 
4.2%
825
 
3.9%
784
 
3.7%
749
 
3.5%
695
 
3.3%
634
 
3.0%
377
 
1.8%
358
 
1.7%
Other values (611) 13431
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18160
85.6%
Uppercase Letter 1073
 
5.1%
Space Separator 784
 
3.7%
Lowercase Letter 343
 
1.6%
Decimal Number 282
 
1.3%
Close Punctuation 258
 
1.2%
Open Punctuation 257
 
1.2%
Other Punctuation 50
 
0.2%
Dash Punctuation 10
 
< 0.1%
Letter Number 5
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1482
 
8.2%
999
 
5.5%
892
 
4.9%
825
 
4.5%
749
 
4.1%
695
 
3.8%
634
 
3.5%
377
 
2.1%
358
 
2.0%
308
 
1.7%
Other values (535) 10841
59.7%
Uppercase Letter
ValueCountFrequency (%)
E 112
 
10.4%
O 104
 
9.7%
T 98
 
9.1%
H 95
 
8.9%
L 71
 
6.6%
A 67
 
6.2%
S 64
 
6.0%
N 57
 
5.3%
M 43
 
4.0%
G 42
 
3.9%
Other values (16) 320
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 55
16.0%
o 51
14.9%
t 34
9.9%
n 26
 
7.6%
a 24
 
7.0%
l 24
 
7.0%
u 17
 
5.0%
r 15
 
4.4%
h 15
 
4.4%
s 15
 
4.4%
Other values (15) 67
19.5%
Decimal Number
ValueCountFrequency (%)
2 75
26.6%
1 39
13.8%
5 35
12.4%
9 32
11.3%
7 26
 
9.2%
6 21
 
7.4%
0 20
 
7.1%
3 15
 
5.3%
4 14
 
5.0%
8 5
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 30
60.0%
& 12
 
24.0%
, 3
 
6.0%
# 2
 
4.0%
' 1
 
2.0%
; 1
 
2.0%
1
 
2.0%
Letter Number
ValueCountFrequency (%)
3
60.0%
2
40.0%
Space Separator
ValueCountFrequency (%)
784
100.0%
Close Punctuation
ValueCountFrequency (%)
) 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18162
85.6%
Common 1642
 
7.7%
Latin 1421
 
6.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1482
 
8.2%
999
 
5.5%
892
 
4.9%
825
 
4.5%
749
 
4.1%
695
 
3.8%
634
 
3.5%
377
 
2.1%
358
 
2.0%
308
 
1.7%
Other values (535) 10843
59.7%
Latin
ValueCountFrequency (%)
E 112
 
7.9%
O 104
 
7.3%
T 98
 
6.9%
H 95
 
6.7%
L 71
 
5.0%
A 67
 
4.7%
S 64
 
4.5%
N 57
 
4.0%
e 55
 
3.9%
o 51
 
3.6%
Other values (43) 647
45.5%
Common
ValueCountFrequency (%)
784
47.7%
) 258
 
15.7%
( 257
 
15.7%
2 75
 
4.6%
1 39
 
2.4%
5 35
 
2.1%
9 32
 
1.9%
. 30
 
1.8%
7 26
 
1.6%
6 21
 
1.3%
Other values (12) 85
 
5.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18159
85.6%
ASCII 3056
 
14.4%
None 5
 
< 0.1%
Number Forms 5
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1482
 
8.2%
999
 
5.5%
892
 
4.9%
825
 
4.5%
749
 
4.1%
695
 
3.8%
634
 
3.5%
377
 
2.1%
358
 
2.0%
308
 
1.7%
Other values (534) 10840
59.7%
ASCII
ValueCountFrequency (%)
784
25.7%
) 258
 
8.4%
( 257
 
8.4%
E 112
 
3.7%
O 104
 
3.4%
T 98
 
3.2%
H 95
 
3.1%
2 75
 
2.5%
L 71
 
2.3%
A 67
 
2.2%
Other values (61) 1135
37.1%
None
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Number Forms
ValueCountFrequency (%)
3
60.0%
2
40.0%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct3418
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0137369 × 1013
Minimum1.9990211 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:39.843820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990211 × 1013
5-th percentile2.001072 × 1013
Q12.006011 × 1013
median2.0180221 × 1013
Q32.0200116 × 1013
95-th percentile2.0210209 × 1013
Maximum2.021043 × 1013
Range2.2021918 × 1011
Interquartile range (IQR)1.4000559 × 1011

Descriptive statistics

Standard deviation7.2646101 × 1010
Coefficient of variation (CV)0.0036075269
Kurtosis-1.0940547
Mean2.0137369 × 1013
Median Absolute Deviation (MAD)2.0993032 × 1010
Skewness-0.73516258
Sum8.3288159 × 1016
Variance5.277456 × 1021
MonotonicityNot monotonic
2024-04-17T10:21:39.982737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990428000000 31
 
0.7%
20040902000000 30
 
0.7%
19990920000000 30
 
0.7%
20030122000000 29
 
0.7%
20040203000000 25
 
0.6%
20030414000000 18
 
0.4%
20070531000000 18
 
0.4%
20040427000000 16
 
0.4%
20030329000000 16
 
0.4%
20020515000000 16
 
0.4%
Other values (3408) 3907
94.5%
ValueCountFrequency (%)
19990211000000 1
 
< 0.1%
19990218000000 10
0.2%
19990223000000 1
 
< 0.1%
19990225000000 3
 
0.1%
19990302000000 2
 
< 0.1%
19990303000000 9
0.2%
19990308000000 16
0.4%
19990309000000 3
 
0.1%
19990310000000 1
 
< 0.1%
19990315000000 1
 
< 0.1%
ValueCountFrequency (%)
20210430175528 1
< 0.1%
20210430173842 1
< 0.1%
20210430150734 1
< 0.1%
20210430130740 1
< 0.1%
20210430124834 1
< 0.1%
20210430102110 1
< 0.1%
20210430101408 1
< 0.1%
20210429170842 1
< 0.1%
20210429140349 1
< 0.1%
20210429134159 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
I
2460 
U
1676 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2460
59.5%
U 1676
40.5%

Length

2024-04-17T10:21:40.090649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:40.172155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2460
59.5%
u 1676
40.5%
Distinct592
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-17T10:21:40.280871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:21:40.390674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
여관업
2606 
여인숙업
537 
숙박업 기타
301 
숙박업(생활)
290 
일반호텔
 
248
Other values (3)
 
154

Length

Max length8
Median length3
Mean length3.7296905
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row숙박업 기타
2nd row숙박업(생활)
3rd row여관업
4th row여관업
5th row여관업

Common Values

ValueCountFrequency (%)
여관업 2606
63.0%
여인숙업 537
 
13.0%
숙박업 기타 301
 
7.3%
숙박업(생활) 290
 
7.0%
일반호텔 248
 
6.0%
관광호텔 149
 
3.6%
휴양콘도미니엄업 4
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-17T10:21:40.498930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:40.595850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 2606
58.7%
여인숙업 537
 
12.1%
숙박업 301
 
6.8%
기타 301
 
6.8%
숙박업(생활 290
 
6.5%
일반호텔 248
 
5.6%
관광호텔 149
 
3.4%
휴양콘도미니엄업 4
 
0.1%
na 1
 
< 0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3394
Distinct (%)88.0%
Missing278
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean388136.38
Minimum365611.98
Maximum408044.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:41.022240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365611.98
5-th percentile380238.24
Q1384554.24
median387669.61
Q3390954.11
95-th percentile398884.29
Maximum408044.13
Range42432.159
Interquartile range (IQR)6399.8691

Descriptive statistics

Standard deviation5854.2661
Coefficient of variation (CV)0.015083013
Kurtosis0.39535117
Mean388136.38
Median Absolute Deviation (MAD)3140.0319
Skewness0.30320505
Sum1.4974301 × 109
Variance34272432
MonotonicityNot monotonic
2024-04-17T10:21:41.139737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393521.998603867 13
 
0.3%
397359.716406649 9
 
0.2%
396841.843557054 6
 
0.1%
397215.357597138 5
 
0.1%
386392.832991886 4
 
0.1%
382185.418897057 4
 
0.1%
397494.828591053 4
 
0.1%
389376.961500124 4
 
0.1%
396651.819903614 4
 
0.1%
387388.831800094 4
 
0.1%
Other values (3384) 3801
91.9%
(Missing) 278
 
6.7%
ValueCountFrequency (%)
365611.976058825 1
< 0.1%
366750.5007258 1
< 0.1%
366778.837130241 1
< 0.1%
366896.953761343 1
< 0.1%
368918.809378766 1
< 0.1%
369762.030711011 1
< 0.1%
370539.383684015 1
< 0.1%
370561.507348422 1
< 0.1%
370676.644147142 1
< 0.1%
371141.769974872 1
< 0.1%
ValueCountFrequency (%)
408044.134832442 1
< 0.1%
407884.019907444 1
< 0.1%
407595.535497263 1
< 0.1%
407589.918354052 2
< 0.1%
407501.099639793 1
< 0.1%
407497.044689543 1
< 0.1%
407030.081590878 1
< 0.1%
404771.782281376 1
< 0.1%
404478.47807409 1
< 0.1%
403998.423742534 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3394
Distinct (%)88.0%
Missing278
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean186463.89
Minimum169689.62
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:41.249560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169689.62
5-th percentile178548.88
Q1182604.68
median186664.98
Q3189689.61
95-th percentile193538.74
Maximum207205.17
Range37515.549
Interquartile range (IQR)7084.9287

Descriptive statistics

Standard deviation5095.4078
Coefficient of variation (CV)0.027326512
Kurtosis0.048435019
Mean186463.89
Median Absolute Deviation (MAD)3629.4379
Skewness0.10386528
Sum7.193777 × 108
Variance25963180
MonotonicityNot monotonic
2024-04-17T10:21:41.391367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185933.100965604 13
 
0.3%
186807.811298995 9
 
0.2%
186655.373923053 6
 
0.1%
186959.519684603 5
 
0.1%
186923.317075276 4
 
0.1%
186725.781107356 4
 
0.1%
185884.714086618 4
 
0.1%
191954.161727579 4
 
0.1%
189510.649838926 4
 
0.1%
192193.805516669 4
 
0.1%
Other values (3384) 3801
91.9%
(Missing) 278
 
6.7%
ValueCountFrequency (%)
169689.620557607 1
< 0.1%
171151.749213957 1
< 0.1%
173942.692590028 1
< 0.1%
174290.180340966 1
< 0.1%
174687.80547174 1
< 0.1%
174736.309852383 2
< 0.1%
174745.707302044 1
< 0.1%
174765.307900471 1
< 0.1%
174773.34037535 1
< 0.1%
174803.403675799 1
< 0.1%
ValueCountFrequency (%)
207205.169925653 1
< 0.1%
205862.641429271 1
< 0.1%
205755.548983361 1
< 0.1%
205639.070347215 1
< 0.1%
205483.550667989 1
< 0.1%
205464.030615654 1
< 0.1%
205445.643098355 2
< 0.1%
205443.972668489 1
< 0.1%
204671.95943725 1
< 0.1%
204602.742663269 1
< 0.1%

위생업태명
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
여관업
2606 
여인숙업
537 
숙박업 기타
301 
숙박업(생활)
290 
일반호텔
 
248
Other values (3)
 
154

Length

Max length8
Median length3
Mean length3.7296905
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row숙박업 기타
2nd row숙박업(생활)
3rd row여관업
4th row여관업
5th row여관업

Common Values

ValueCountFrequency (%)
여관업 2606
63.0%
여인숙업 537
 
13.0%
숙박업 기타 301
 
7.3%
숙박업(생활) 290
 
7.0%
일반호텔 248
 
6.0%
관광호텔 149
 
3.6%
휴양콘도미니엄업 4
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-17T10:21:41.512280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:41.612017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 2606
58.7%
여인숙업 537
 
12.1%
숙박업 301
 
6.8%
기타 301
 
6.8%
숙박업(생활 290
 
6.5%
일반호텔 248
 
5.6%
관광호텔 149
 
3.4%
휴양콘도미니엄업 4
 
0.1%
na 1
 
< 0.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)1.0%
Missing661
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.6238849
Minimum0
Maximum101
Zeros1267
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:41.723917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile10
Maximum101
Range101
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8804185
Coefficient of variation (CV)1.3467366
Kurtosis100.30259
Mean3.6238849
Median Absolute Deviation (MAD)3
Skewness6.5076964
Sum12593
Variance23.818485
MonotonicityNot monotonic
2024-04-17T10:21:41.835428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 1267
30.6%
4 445
 
10.8%
3 381
 
9.2%
5 306
 
7.4%
2 214
 
5.2%
8 166
 
4.0%
6 156
 
3.8%
7 155
 
3.7%
9 104
 
2.5%
10 92
 
2.2%
Other values (26) 189
 
4.6%
(Missing) 661
16.0%
ValueCountFrequency (%)
0 1267
30.6%
1 62
 
1.5%
2 214
 
5.2%
3 381
 
9.2%
4 445
 
10.8%
5 306
 
7.4%
6 156
 
3.8%
7 155
 
3.7%
8 166
 
4.0%
9 104
 
2.5%
ValueCountFrequency (%)
101 2
< 0.1%
49 1
 
< 0.1%
42 4
0.1%
39 1
 
< 0.1%
37 1
 
< 0.1%
34 1
 
< 0.1%
30 2
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 3
0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.4%
Missing940
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean0.40425532
Minimum-1
Maximum11
Zeros2237
Zeros (%)54.1%
Negative1
Negative (%)< 0.1%
Memory size36.5 KiB
2024-04-17T10:21:41.948162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.85244785
Coefficient of variation (CV)2.1086868
Kurtosis37.456946
Mean0.40425532
Median Absolute Deviation (MAD)0
Skewness4.7895333
Sum1292
Variance0.72666733
MonotonicityNot monotonic
2024-04-17T10:21:42.047818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2237
54.1%
1 788
 
19.1%
2 113
 
2.7%
4 18
 
0.4%
3 15
 
0.4%
5 10
 
0.2%
6 3
 
0.1%
8 3
 
0.1%
7 3
 
0.1%
9 2
 
< 0.1%
Other values (3) 4
 
0.1%
(Missing) 940
22.7%
ValueCountFrequency (%)
-1 1
 
< 0.1%
0 2237
54.1%
1 788
 
19.1%
2 113
 
2.7%
3 15
 
0.4%
4 18
 
0.4%
5 10
 
0.2%
6 3
 
0.1%
7 3
 
0.1%
8 3
 
0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 3
 
0.1%
7 3
 
0.1%
6 3
 
0.1%
5 10
 
0.2%
4 18
 
0.4%
3 15
 
0.4%
2 113
2.7%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)0.6%
Missing761
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean1.5282963
Minimum0
Maximum32
Zeros1202
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:42.143948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0679798
Coefficient of variation (CV)1.3531275
Kurtosis25.840624
Mean1.5282963
Median Absolute Deviation (MAD)1
Skewness3.5130911
Sum5158
Variance4.2765405
MonotonicityNot monotonic
2024-04-17T10:21:42.257571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1202
29.1%
1 986
23.8%
2 518
12.5%
3 269
 
6.5%
4 159
 
3.8%
5 104
 
2.5%
6 37
 
0.9%
7 32
 
0.8%
8 20
 
0.5%
10 13
 
0.3%
Other values (10) 35
 
0.8%
(Missing) 761
18.4%
ValueCountFrequency (%)
0 1202
29.1%
1 986
23.8%
2 518
12.5%
3 269
 
6.5%
4 159
 
3.8%
5 104
 
2.5%
6 37
 
0.9%
7 32
 
0.8%
8 20
 
0.5%
9 11
 
0.3%
ValueCountFrequency (%)
32 1
 
< 0.1%
24 1
 
< 0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
15 2
 
< 0.1%
14 3
 
0.1%
13 4
 
0.1%
12 1
 
< 0.1%
11 10
0.2%
10 13
0.3%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)1.1%
Missing1175
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean3.9243499
Minimum0
Maximum92
Zeros964
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:42.369076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile10
Maximum92
Range92
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.9847421
Coefficient of variation (CV)1.2702084
Kurtosis73.44189
Mean3.9243499
Median Absolute Deviation (MAD)3
Skewness5.6138133
Sum11620
Variance24.847654
MonotonicityNot monotonic
2024-04-17T10:21:42.478262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 964
23.3%
4 396
 
9.6%
3 334
 
8.1%
5 243
 
5.9%
6 212
 
5.1%
2 198
 
4.8%
7 140
 
3.4%
8 130
 
3.1%
9 98
 
2.4%
10 75
 
1.8%
Other values (24) 171
 
4.1%
(Missing) 1175
28.4%
ValueCountFrequency (%)
0 964
23.3%
1 44
 
1.1%
2 198
 
4.8%
3 334
 
8.1%
4 396
9.6%
5 243
 
5.9%
6 212
 
5.1%
7 140
 
3.4%
8 130
 
3.1%
9 98
 
2.4%
ValueCountFrequency (%)
92 2
< 0.1%
42 2
< 0.1%
39 3
0.1%
38 1
 
< 0.1%
35 1
 
< 0.1%
31 1
 
< 0.1%
30 4
0.1%
29 1
 
< 0.1%
27 2
< 0.1%
25 3
0.1%

사용시작지하층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.2%
Missing1137
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean0.053351117
Minimum0
Maximum7
Zeros2870
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:42.570838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32024414
Coefficient of variation (CV)6.0025762
Kurtosis185.71377
Mean0.053351117
Median Absolute Deviation (MAD)0
Skewness11.426411
Sum160
Variance0.10255631
MonotonicityNot monotonic
2024-04-17T10:21:42.663327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2870
69.4%
1 119
 
2.9%
4 4
 
0.1%
2 3
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
(Missing) 1137
 
27.5%
ValueCountFrequency (%)
0 2870
69.4%
1 119
 
2.9%
2 3
 
0.1%
4 4
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 2
 
< 0.1%
4 4
 
0.1%
2 3
 
0.1%
1 119
 
2.9%
0 2870
69.4%

사용끝지하층
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.3%
Missing1613
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean0.069361871
Minimum0
Maximum19
Zeros2403
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:42.754726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.52110938
Coefficient of variation (CV)7.5129084
Kurtosis730.96519
Mean0.069361871
Median Absolute Deviation (MAD)0
Skewness22.718834
Sum175
Variance0.27155499
MonotonicityNot monotonic
2024-04-17T10:21:42.841846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2403
58.1%
1 103
 
2.5%
2 9
 
0.2%
7 3
 
0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
19 1
 
< 0.1%
(Missing) 1613
39.0%
ValueCountFrequency (%)
0 2403
58.1%
1 103
 
2.5%
2 9
 
0.2%
3 2
 
< 0.1%
4 2
 
< 0.1%
7 3
 
0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
7 3
 
0.1%
4 2
 
< 0.1%
3 2
 
< 0.1%
2 9
 
0.2%
1 103
 
2.5%
0 2403
58.1%

한실수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct46
Distinct (%)1.3%
Missing563
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4.0601735
Minimum0
Maximum393
Zeros1933
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:42.950775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile16
Maximum393
Range393
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.622291
Coefficient of variation (CV)2.3699211
Kurtosis778.46154
Mean4.0601735
Median Absolute Deviation (MAD)0
Skewness21.179007
Sum14507
Variance92.588483
MonotonicityNot monotonic
2024-04-17T10:21:43.073035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 1933
46.7%
2 163
 
3.9%
10 156
 
3.8%
1 134
 
3.2%
3 132
 
3.2%
8 114
 
2.8%
4 101
 
2.4%
9 99
 
2.4%
6 99
 
2.4%
12 93
 
2.2%
Other values (36) 549
 
13.3%
(Missing) 563
 
13.6%
ValueCountFrequency (%)
0 1933
46.7%
1 134
 
3.2%
2 163
 
3.9%
3 132
 
3.2%
4 101
 
2.4%
5 93
 
2.2%
6 99
 
2.4%
7 71
 
1.7%
8 114
 
2.8%
9 99
 
2.4%
ValueCountFrequency (%)
393 1
< 0.1%
162 1
< 0.1%
126 1
< 0.1%
105 1
< 0.1%
63 1
< 0.1%
60 1
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
40 1
< 0.1%
38 1
< 0.1%

양실수
Real number (ℝ)

MISSING  ZEROS 

Distinct153
Distinct (%)4.0%
Missing289
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean22.095659
Minimum0
Maximum651
Zeros523
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:43.198619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median15
Q325
95-th percentile48
Maximum651
Range651
Interquartile range (IQR)17

Descriptive statistics

Standard deviation41.484344
Coefficient of variation (CV)1.8774884
Kurtosis81.595367
Mean22.095659
Median Absolute Deviation (MAD)8
Skewness8.1315351
Sum85002
Variance1720.9508
MonotonicityNot monotonic
2024-04-17T10:21:43.342764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 523
 
12.6%
10 220
 
5.3%
18 187
 
4.5%
12 158
 
3.8%
14 158
 
3.8%
15 153
 
3.7%
13 123
 
3.0%
19 121
 
2.9%
16 111
 
2.7%
17 109
 
2.6%
Other values (143) 1984
48.0%
(Missing) 289
 
7.0%
ValueCountFrequency (%)
0 523
12.6%
1 20
 
0.5%
2 36
 
0.9%
3 39
 
0.9%
4 36
 
0.9%
5 75
 
1.8%
6 72
 
1.7%
7 90
 
2.2%
8 106
 
2.6%
9 95
 
2.3%
ValueCountFrequency (%)
651 1
< 0.1%
603 1
< 0.1%
527 1
< 0.1%
512 1
< 0.1%
510 1
< 0.1%
500 1
< 0.1%
491 1
< 0.1%
477 1
< 0.1%
446 1
< 0.1%
436 1
< 0.1%

욕실수
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)1.0%
Missing1043
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean0.55059812
Minimum0
Maximum45
Zeros2999
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:43.476873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3991348
Coefficient of variation (CV)6.1735314
Kurtosis55.531681
Mean0.55059812
Median Absolute Deviation (MAD)0
Skewness7.0698021
Sum1703
Variance11.554118
MonotonicityNot monotonic
2024-04-17T10:21:43.578762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 2999
72.5%
15 8
 
0.2%
12 7
 
0.2%
18 6
 
0.1%
10 6
 
0.1%
8 5
 
0.1%
14 5
 
0.1%
22 5
 
0.1%
9 5
 
0.1%
20 4
 
0.1%
Other values (21) 43
 
1.0%
(Missing) 1043
 
25.2%
ValueCountFrequency (%)
0 2999
72.5%
4 1
 
< 0.1%
8 5
 
0.1%
9 5
 
0.1%
10 6
 
0.1%
11 2
 
< 0.1%
12 7
 
0.2%
13 4
 
0.1%
14 5
 
0.1%
15 8
 
0.2%
ValueCountFrequency (%)
45 1
< 0.1%
41 1
< 0.1%
38 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%
31 2
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 2
< 0.1%

발한실여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing20
Missing (%)0.5%
Memory size8.2 KiB
False
4104 
True
 
12
(Missing)
 
20
ValueCountFrequency (%)
False 4104
99.2%
True 12
 
0.3%
(Missing) 20
 
0.5%
2024-04-17T10:21:43.671364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.2%
Missing1081
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean0.0088379705
Minimum0
Maximum12
Zeros3050
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:43.761214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26145115
Coefficient of variation (CV)29.582714
Kurtosis1563.6669
Mean0.0088379705
Median Absolute Deviation (MAD)0
Skewness37.35368
Sum27
Variance0.068356704
MonotonicityNot monotonic
2024-04-17T10:21:43.859201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3050
73.7%
3 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
12 1
 
< 0.1%
(Missing) 1081
 
26.1%
ValueCountFrequency (%)
0 3050
73.7%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
0 3050
73.7%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
<NA>
3148 
자가
595 
임대
393 

Length

Max length4
Median length4
Mean length3.5222437
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3148
76.1%
자가 595
 
14.4%
임대 393
 
9.5%

Length

2024-04-17T10:21:43.966241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:44.061501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3148
76.1%
자가 595
 
14.4%
임대 393
 
9.5%

세탁기수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
0
2577 
<NA>
1559 

Length

Max length4
Median length1
Mean length2.1308027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 2577
62.3%
<NA> 1559
37.7%

Length

2024-04-17T10:21:44.155925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:44.242507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2577
62.3%
na 1559
37.7%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)2.8%
Missing3811
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean0.27384615
Minimum0
Maximum35
Zeros310
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:44.318029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2323572
Coefficient of variation (CV)8.1518663
Kurtosis188.07488
Mean0.27384615
Median Absolute Deviation (MAD)0
Skewness12.886291
Sum89
Variance4.9834188
MonotonicityNot monotonic
2024-04-17T10:21:44.408345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 310
 
7.5%
1 4
 
0.1%
3 3
 
0.1%
2 3
 
0.1%
9 1
 
< 0.1%
4 1
 
< 0.1%
35 1
 
< 0.1%
15 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 3811
92.1%
ValueCountFrequency (%)
0 310
7.5%
1 4
 
0.1%
2 3
 
0.1%
3 3
 
0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
15 1
 
< 0.1%
35 1
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
15 1
 
< 0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
0.1%
2 3
 
0.1%
1 4
 
0.1%
0 310
7.5%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.4%
Missing3809
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean0.50458716
Minimum0
Maximum35
Zeros300
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-04-17T10:21:44.497039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0666138
Coefficient of variation (CV)6.0774709
Kurtosis87.858263
Mean0.50458716
Median Absolute Deviation (MAD)0
Skewness9.0315334
Sum165
Variance9.40412
MonotonicityNot monotonic
2024-04-17T10:21:44.583603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 300
 
7.3%
1 8
 
0.2%
4 5
 
0.1%
2 4
 
0.1%
3 3
 
0.1%
28 2
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
35 1
 
< 0.1%
(Missing) 3809
92.1%
ValueCountFrequency (%)
0 300
7.3%
1 8
 
0.2%
2 4
 
0.1%
3 3
 
0.1%
4 5
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
28 2
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
28 2
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 5
0.1%
3 3
 
0.1%
2 4
0.1%
1 8
0.2%

회수건조수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
0
2559 
<NA>
1577 

Length

Max length4
Median length1
Mean length2.1438588
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 2559
61.9%
<NA> 1577
38.1%

Length

2024-04-17T10:21:44.692867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:44.781938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2559
61.9%
na 1577
38.1%

침대수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
0
2555 
<NA>
1580 
41
 
1

Length

Max length4
Median length1
Mean length2.1462766
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 2555
61.8%
<NA> 1580
38.2%
41 1
 
< 0.1%

Length

2024-04-17T10:21:44.872158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:21:44.961042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2555
61.8%
na 1580
38.2%
41 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
False
4129 
True
 
7
ValueCountFrequency (%)
False 4129
99.8%
True 7
 
0.2%
2024-04-17T10:21:45.043548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Unnamed: 50
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4136
Missing (%)100.0%
Memory size36.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부Unnamed: 50
01숙박업03_11_03_P33300003330000-201-2020-0000220200429<NA>3폐업2폐업20210405<NA><NA><NA><NA>163.42612040부산광역시 해운대구 송정동 297-16부산광역시 해운대구 송정해변로 28-3 (송정동)48072둥지(펜션)20210405111046U2021-04-07 02:40:00.0숙박업 기타400599.78118189080.971899숙박업 기타0012<NA><NA>060N0<NA><NA><NA><NA>00000N<NA>
12숙박업03_11_03_P33800003380000-214-2020-0000220200330<NA>3폐업2폐업20200408<NA><NA><NA><NA>217.76613828부산광역시 수영구 민락동 181-154번지 오션브릿지부산광역시 수영구 광안해변로278번길 42, 오션브릿지 13층 A1302호 (민락동)48283브라운도트호텔 민락점20200408155526U2020-04-10 02:40:00.0숙박업(생활)393521.998604185933.100966숙박업(생활)00131300070N0<NA><NA><NA><NA>00000N<NA>
23숙박업03_11_03_P32700003270000-201-2000-0000120000420<NA>3폐업2폐업20160630<NA><NA><NA>051 4662227576.37601827부산광역시 동구 초량동 43-13번지부산광역시 동구 고관로13번가길 22 (초량동)<NA>그랜드모텔20030225000000I2018-08-31 23:59:59.0여관업386083.962939182207.637766여관업<NA><NA><NA><NA><NA><NA><NA>19<NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
34숙박업03_11_03_P33200003320000-201-1994-0005219940429<NA>3폐업2폐업20041022<NA><NA><NA>051 3422892.00616837부산광역시 북구 구포동 406-1번지 T통B반<NA><NA>별궁장19990920000000I2018-08-31 23:59:59.0여관업382015.925211191565.186332여관업000<NA>0<NA>2400N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
45숙박업03_11_03_P33200003320000-201-1980-0031819800905<NA>3폐업2폐업20030623<NA><NA><NA>051 3320338.00616802부산광역시 북구 구포동 1067-11번지 T통B반<NA><NA>신세계20030701000000I2018-08-31 23:59:59.0여관업381592.885364191222.930951여관업<NA><NA><NA><NA><NA><NA>19<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
56숙박업03_11_03_P33200003320000-201-1993-0101019931023<NA>3폐업2폐업20041022<NA><NA><NA>051 3331791.00616820부산광역시 북구 덕천동 401-9번지 T통B반<NA><NA>청운장19990920000000I2018-08-31 23:59:59.0여관업382729.542213191945.618572여관업000<NA>0<NA>1700N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
67숙박업03_11_03_P33800003380000-201-2011-0000220111223<NA>3폐업2폐업20170102<NA><NA><NA>051 755 1408982.14613805부산광역시 수영구 광안동 204-5번지 (6~8층)부산광역시 수영구 남천바다로33번길 12, 6~8층 (광안동)48303발리호텔20121030155300I2018-08-31 23:59:59.0일반호텔392621.340937185352.567006일반호텔8268000330N0<NA><NA><NA><NA>0<NA><NA>00N<NA>
78숙박업03_11_03_P33200003320000-201-1988-0100619881123<NA>3폐업2폐업19970123<NA><NA><NA>051.00616817부산광역시 북구 덕천동 350-1번지 T통B반<NA><NA>복성장19990428000000I2018-08-31 23:59:59.0여관업382399.376522192017.553157여관업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
89숙박업03_11_03_P33800003380000-201-1969-0000119690722<NA>3폐업2폐업20170320<NA><NA><NA>051 7533996103.70613828부산광역시 수영구 민락동 713-23번지부산광역시 수영구 광안로61번가길 3 (민락동)<NA>필모텔20131216154820I2018-08-31 23:59:59.0여관업393142.1521186055.239709여관업2012<NA><NA><NA>15<NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
910숙박업03_11_03_P33200003320000-201-1983-0100019830526<NA>3폐업2폐업19981215<NA><NA><NA>051.00616817부산광역시 북구 덕천동 349-2번지 T통B반<NA><NA>금탑장19990428000000I2018-08-31 23:59:59.0여관업382387.490267192080.900892여관업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부Unnamed: 50
41264127숙박업03_11_03_P33800003380000-201-2019-0000220190322<NA>1영업/정상1영업<NA><NA><NA><NA>051 751 22661,214.26613828부산광역시 수영구 민락동 181-154번지 오션브릿지부산광역시 수영구 광안해변로278번길 42, 오션브릿지 B동 8~10층 (민락동)48283에이치에비뉴(H-에비뉴) 광안리해변점20190723174229U2019-07-25 02:40:00.0관광호텔393521.998604185933.100966관광호텔152810000340N0<NA><NA><NA><NA>00000N<NA>
41274128숙박업03_11_03_P33000003300000-214-1986-0000319861223<NA>1영업/정상1영업<NA><NA><NA><NA>051 5541100647.64607824부산광역시 동래구 수안동 596-3번지부산광역시 동래구 명륜로92번길 25 (수안동)47814프라임20190404111151U2019-04-06 02:40:00.0숙박업(생활)389726.086386191314.731062숙박업(생활)4014007190N0<NA><NA><NA><NA>0<NA><NA>00N<NA>
41284129숙박업03_11_03_P33300003330000-201-2019-0000120190225<NA>1영업/정상1영업<NA><NA><NA><NA>05174111882,376.27612822부산광역시 해운대구 우동 762-51번지부산광역시 해운대구 해운대해변로197번길 10-10 (우동)48093호텔 인트로20190328155625U2019-03-30 02:40:00.0일반호텔396148.528321186550.921051일반호텔0018110410N0<NA><NA><NA><NA>00000N<NA>
41294130숙박업03_11_03_P33600003360000-201-2019-0000220190315<NA>1영업/정상1영업<NA><NA><NA><NA>051 929 86001,270.84618200부산광역시 강서구 명지동 3603-2번지 더프라임10층부산광역시 강서구 명지국제2로28번길 8, 더프라임 10층 (명지동)46726더포인트호텔20190626112036U2019-06-28 02:40:00.0일반호텔373925.111973178813.861142일반호텔0000000330N0<NA><NA><NA><NA>00000N<NA>
41304131숙박업03_11_03_P33800003380000-214-2019-0000120190131<NA>1영업/정상1영업<NA><NA><NA><NA><NA>83.37613828부산광역시 수영구 민락동 184-36부산광역시 수영구 광남로 158, 1~2층 (민락동)48284허니슬립20210222133444U2021-02-24 02:40:00.0숙박업(생활)392979.898201186054.225155숙박업(생활)201200040N0<NA><NA><NA><NA>00000N<NA>
41314132숙박업03_11_03_P32900003290000-201-2019-0000120190131<NA>1영업/정상1영업<NA><NA><NA><NA><NA>487.23614844부산광역시 부산진구 부전동 142-4번지부산광역시 부산진구 동천로107번길 17, 3층~5층 (부전동)47246솔로몬20190131172552I2019-02-02 02:21:07.0여관업387744.511042186274.812003여관업5135<NA><NA>0320N0<NA><NA><NA><NA>00000N<NA>
41324133숙박업03_11_03_P32800003280000-201-2019-0000120190131<NA>1영업/정상1영업<NA><NA><NA><NA>051 790 150014,067.25606061부산광역시 영도구 봉래동1가 29부산광역시 영도구 봉래나루로 82 (봉래동1가)49033라발스호텔20210118083312U2021-01-20 02:40:00.0일반호텔385874.951309179172.639144일반호텔2815270083810N0<NA><NA><NA><NA>00000N<NA>
41334134숙박업03_11_03_P33800003380000-201-2019-0000120190129<NA>1영업/정상1영업<NA><NA><NA><NA>051 760 08082,004.99613828부산광역시 수영구 민락동 181-205번지부산광역시 수영구 광안해변로 276, 지하1~지상15층 (민락동)48283베스트루이스 해밀턴호텔 광안점20190702100311U2019-07-04 02:40:00.0관광호텔393471.177801186115.038004관광호텔1511515110500N0<NA><NA><NA><NA>00000N<NA>
41344135숙박업03_11_03_P32700003270000-201-2019-0000220190129<NA>1영업/정상1영업<NA><NA><NA><NA>051 462 77006,019.43601839부산광역시 동구 초량동 1213-18번지 1213-14, 지하1층,1층일부,3층~15층부산광역시 동구 대영로 265, 지하1층,1층일부,3층~15층 (초량동)48822노떼라미아호텔20190516165040U2019-05-18 02:40:00.0일반호텔385885.540847181084.314279일반호텔1513151111110N0<NA><NA><NA>자가00000N<NA>
41354136숙박업03_11_03_P33300003330000-214-2018-0000720181105<NA>1영업/정상1영업<NA><NA><NA><NA>051 701 0606751.48612040부산광역시 해운대구 송정동 297-18부산광역시 해운대구 송정해변로 30-1, 2~5층 (송정동)48072그레이샌즈 풀빌라20200909133530U2020-09-11 02:40:00.0숙박업(생활)400585.987163189078.422001숙박업(생활)502500900N0<NA><NA><NA><NA>00000N<NA>