Overview

Dataset statistics

Number of variables64
Number of observations353
Missing cells10395
Missing cells (%)46.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory192.5 KiB
Average record size in memory558.4 B

Variable types

Numeric17
Categorical18
Text6
Unsupported22
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20211201050100961067

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (95.8%)Imbalance
휴업종료일자 is highly imbalanced (95.8%)Imbalance
지역구분명 is highly imbalanced (64.9%)Imbalance
주변환경명 is highly imbalanced (74.7%)Imbalance
건물용도명 is highly imbalanced (69.6%)Imbalance
지하층수 is highly imbalanced (82.3%)Imbalance
영문상호주소 is highly imbalanced (79.8%)Imbalance
기획여행보험시작일자 is highly imbalanced (94.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (94.6%)Imbalance
인허가취소일자 has 345 (97.7%) missing valuesMissing
폐업일자 has 264 (74.8%) missing valuesMissing
재개업일자 has 353 (100.0%) missing valuesMissing
소재지전화 has 101 (28.6%) missing valuesMissing
소재지면적 has 353 (100.0%) missing valuesMissing
소재지우편번호 has 286 (81.0%) missing valuesMissing
도로명우편번호 has 14 (4.0%) missing valuesMissing
업태구분명 has 353 (100.0%) missing valuesMissing
문화사업자구분명 has 353 (100.0%) missing valuesMissing
총층수 has 310 (87.8%) missing valuesMissing
제작취급품목내용 has 353 (100.0%) missing valuesMissing
지상층수 has 305 (86.4%) missing valuesMissing
객실수 has 353 (100.0%) missing valuesMissing
건축연면적 has 353 (100.0%) missing valuesMissing
영문상호명 has 317 (89.8%) missing valuesMissing
선박총톤수 has 353 (100.0%) missing valuesMissing
선박척수 has 353 (100.0%) missing valuesMissing
선박제원 has 353 (100.0%) missing valuesMissing
무대면적 has 353 (100.0%) missing valuesMissing
좌석수 has 353 (100.0%) missing valuesMissing
기념품종류 has 353 (100.0%) missing valuesMissing
회의실별동시수용인원 has 353 (100.0%) missing valuesMissing
시설면적 has 267 (75.6%) missing valuesMissing
놀이기구수내역 has 353 (100.0%) missing valuesMissing
놀이시설수 has 353 (100.0%) missing valuesMissing
방송시설유무 has 353 (100.0%) missing valuesMissing
발전시설유무 has 353 (100.0%) missing valuesMissing
의무실유무 has 353 (100.0%) missing valuesMissing
안내소유무 has 353 (100.0%) missing valuesMissing
자본금 has 82 (23.2%) missing valuesMissing
보험시작일자 has 35 (9.9%) missing valuesMissing
보험종료일자 has 35 (9.9%) missing valuesMissing
부대시설내역 has 353 (100.0%) missing valuesMissing
시설규모 has 267 (75.6%) missing valuesMissing
Unnamed: 63 has 353 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 22:17:31.555119
Analysis finished2024-04-17 22:17:32.328638
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177
Minimum1
Maximum353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:32.384629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.6
Q189
median177
Q3265
95-th percentile335.4
Maximum353
Range352
Interquartile range (IQR)176

Descriptive statistics

Standard deviation102.04656
Coefficient of variation (CV)0.57653423
Kurtosis-1.2
Mean177
Median Absolute Deviation (MAD)88
Skewness0
Sum62481
Variance10413.5
MonotonicityStrictly increasing
2024-04-18T07:17:32.503694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
266 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
Other values (343) 343
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반여행업
353 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반여행업 353
100.0%

Length

2024-04-18T07:17:32.620983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:32.711210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 353
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
03_12_03_P
353 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_12_03_P
2nd row03_12_03_P
3rd row03_12_03_P
4th row03_12_03_P
5th row03_12_03_P

Common Values

ValueCountFrequency (%)
03_12_03_P 353
100.0%

Length

2024-04-18T07:17:32.804221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:32.928736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 353
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3309065.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:33.006727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13270000
median3300000
Q33330000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation41791.946
Coefficient of variation (CV)0.012629533
Kurtosis-0.83065087
Mean3309065.2
Median Absolute Deviation (MAD)30000
Skewness0.39218665
Sum1.1681 × 109
Variance1.7465668 × 109
MonotonicityNot monotonic
2024-04-18T07:17:33.112532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 72
20.4%
3290000 57
16.1%
3270000 52
14.7%
3250000 41
11.6%
3310000 21
 
5.9%
3380000 18
 
5.1%
3370000 18
 
5.1%
3300000 16
 
4.5%
3390000 12
 
3.4%
3280000 10
 
2.8%
Other values (6) 36
10.2%
ValueCountFrequency (%)
3250000 41
11.6%
3260000 6
 
1.7%
3270000 52
14.7%
3280000 10
 
2.8%
3290000 57
16.1%
3300000 16
 
4.5%
3310000 21
 
5.9%
3320000 2
 
0.6%
3330000 72
20.4%
3340000 8
 
2.3%
ValueCountFrequency (%)
3400000 5
 
1.4%
3390000 12
 
3.4%
3380000 18
 
5.1%
3370000 18
 
5.1%
3360000 6
 
1.7%
3350000 9
 
2.5%
3340000 8
 
2.3%
3330000 72
20.4%
3320000 2
 
0.6%
3310000 21
 
5.9%
Distinct108
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:17:33.291677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7060
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

Unique36 ?
Unique (%)10.2%

Sample

1st rowCDFI2260042014000003
2nd rowCDFI2260042017000006
3rd rowCDFI2260042004000001
4th rowCDFI2260042018000003
5th rowCDFI2260042018000010
ValueCountFrequency (%)
cdfi2260042019000001 13
 
3.7%
cdfi2260042018000002 11
 
3.1%
cdfi2260042018000001 11
 
3.1%
cdfi2260042020000001 11
 
3.1%
cdfi2260042016000001 11
 
3.1%
cdfi2260042017000002 10
 
2.8%
cdfi2260042017000001 10
 
2.8%
cdfi2260042019000002 8
 
2.3%
cdfi2260042015000002 8
 
2.3%
cdfi2260042016000002 8
 
2.3%
Other values (98) 252
71.4%
2024-04-18T07:17:33.576827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2873
40.7%
2 1192
16.9%
1 435
 
6.2%
6 411
 
5.8%
4 400
 
5.7%
C 353
 
5.0%
D 353
 
5.0%
F 353
 
5.0%
I 353
 
5.0%
9 74
 
1.0%
Other values (4) 263
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5648
80.0%
Uppercase Letter 1412
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2873
50.9%
2 1192
21.1%
1 435
 
7.7%
6 411
 
7.3%
4 400
 
7.1%
9 74
 
1.3%
8 72
 
1.3%
7 70
 
1.2%
3 62
 
1.1%
5 59
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 353
25.0%
D 353
25.0%
F 353
25.0%
I 353
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5648
80.0%
Latin 1412
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2873
50.9%
2 1192
21.1%
1 435
 
7.7%
6 411
 
7.3%
4 400
 
7.1%
9 74
 
1.3%
8 72
 
1.3%
7 70
 
1.2%
3 62
 
1.1%
5 59
 
1.0%
Latin
ValueCountFrequency (%)
C 353
25.0%
D 353
25.0%
F 353
25.0%
I 353
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2873
40.7%
2 1192
16.9%
1 435
 
6.2%
6 411
 
5.8%
4 400
 
5.7%
C 353
 
5.0%
D 353
 
5.0%
F 353
 
5.0%
I 353
 
5.0%
9 74
 
1.0%
Other values (4) 263
 
3.7%

인허가일자
Real number (ℝ)

Distinct323
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151268
Minimum19900523
Maximum20210120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:33.715608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900523
5-th percentile20060784
Q120131230
median20161122
Q320180625
95-th percentile20200357
Maximum20210120
Range309597
Interquartile range (IQR)49395

Descriptive statistics

Standard deviation47601.339
Coefficient of variation (CV)0.0023622007
Kurtosis6.3353594
Mean20151268
Median Absolute Deviation (MAD)19991
Skewness-2.205951
Sum7.1133976 × 109
Variance2.2658875 × 109
MonotonicityNot monotonic
2024-04-18T07:17:33.845479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200709 3
 
0.8%
20190312 3
 
0.8%
20180622 3
 
0.8%
20150211 3
 
0.8%
20180130 2
 
0.6%
20160622 2
 
0.6%
20170419 2
 
0.6%
20180628 2
 
0.6%
20160519 2
 
0.6%
20200206 2
 
0.6%
Other values (313) 329
93.2%
ValueCountFrequency (%)
19900523 1
0.3%
19920414 1
0.3%
19930415 1
0.3%
19970327 1
0.3%
19971128 1
0.3%
19980115 1
0.3%
19991204 1
0.3%
20000210 1
0.3%
20010330 1
0.3%
20010824 1
0.3%
ValueCountFrequency (%)
20210120 1
0.3%
20201217 1
0.3%
20201016 1
0.3%
20201012 1
0.3%
20201007 1
0.3%
20200813 1
0.3%
20200811 1
0.3%
20200804 1
0.3%
20200716 1
0.3%
20200714 1
0.3%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing345
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20160653
Minimum20100305
Maximum20200522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:33.966395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100305
5-th percentile20107446
Q120150274
median20160562
Q320191212
95-th percentile20197270
Maximum20200522
Range100217
Interquartile range (IQR)40938

Descriptive statistics

Standard deviation35245.416
Coefficient of variation (CV)0.0017482279
Kurtosis-0.438357
Mean20160653
Median Absolute Deviation (MAD)30655.5
Skewness-0.70927933
Sum1.6128523 × 108
Variance1.2422393 × 109
MonotonicityNot monotonic
2024-04-18T07:17:34.070987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20160609 1
 
0.3%
20191230 1
 
0.3%
20160516 1
 
0.3%
20191206 1
 
0.3%
20120709 1
 
0.3%
20200522 1
 
0.3%
20100305 1
 
0.3%
20160129 1
 
0.3%
(Missing) 345
97.7%
ValueCountFrequency (%)
20100305 1
0.3%
20120709 1
0.3%
20160129 1
0.3%
20160516 1
0.3%
20160609 1
0.3%
20191206 1
0.3%
20191230 1
0.3%
20200522 1
0.3%
ValueCountFrequency (%)
20200522 1
0.3%
20191230 1
0.3%
20191206 1
0.3%
20160609 1
0.3%
20160516 1
0.3%
20160129 1
0.3%
20120709 1
0.3%
20100305 1
0.3%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
252 
3
89 
4
 
9
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 252
71.4%
3 89
 
25.2%
4 9
 
2.5%
2 3
 
0.8%

Length

2024-04-18T07:17:34.177339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:34.276347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 252
71.4%
3 89
 
25.2%
4 9
 
2.5%
2 3
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업/정상
252 
폐업
89 
취소/말소/만료/정지/중지
 
9
휴업
 
3

Length

Max length14
Median length5
Mean length4.4475921
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 252
71.4%
폐업 89
 
25.2%
취소/말소/만료/정지/중지 9
 
2.5%
휴업 3
 
0.8%

Length

2024-04-18T07:17:34.423878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:34.549761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 252
71.4%
폐업 89
 
25.2%
취소/말소/만료/정지/중지 9
 
2.5%
휴업 3
 
0.8%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
13
252 
3
89 
31
 
9
2
 
3

Length

Max length2
Median length2
Mean length1.7393768
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 252
71.4%
3 89
 
25.2%
31 9
 
2.5%
2 3
 
0.8%

Length

2024-04-18T07:17:34.675077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:34.782141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 252
71.4%
3 89
 
25.2%
31 9
 
2.5%
2 3
 
0.8%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업중
252 
폐업
89 
등록취소
 
9
휴업
 
3

Length

Max length4
Median length3
Mean length2.7648725
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 252
71.4%
폐업 89
 
25.2%
등록취소 9
 
2.5%
휴업 3
 
0.8%

Length

2024-04-18T07:17:34.884920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:35.019785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 252
71.4%
폐업 89
 
25.2%
등록취소 9
 
2.5%
휴업 3
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)96.6%
Missing264
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean20169315
Minimum20110425
Maximum20201106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:35.143182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110425
5-th percentile20120443
Q120151016
median20171121
Q320190620
95-th percentile20200630
Maximum20201106
Range90681
Interquartile range (IQR)39604

Descriptive statistics

Standard deviation24792.954
Coefficient of variation (CV)0.0012292413
Kurtosis-0.17187525
Mean20169315
Median Absolute Deviation (MAD)19684
Skewness-0.75502948
Sum1.795069 × 109
Variance6.1469057 × 108
MonotonicityNot monotonic
2024-04-18T07:17:35.294749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200413 2
 
0.6%
20200630 2
 
0.6%
20170406 2
 
0.6%
20150304 1
 
0.3%
20201030 1
 
0.3%
20190805 1
 
0.3%
20130130 1
 
0.3%
20110930 1
 
0.3%
20161125 1
 
0.3%
20180705 1
 
0.3%
Other values (76) 76
 
21.5%
(Missing) 264
74.8%
ValueCountFrequency (%)
20110425 1
0.3%
20110523 1
0.3%
20110608 1
0.3%
20110930 1
0.3%
20120401 1
0.3%
20120507 1
0.3%
20120713 1
0.3%
20130130 1
0.3%
20130630 1
0.3%
20131113 1
0.3%
ValueCountFrequency (%)
20201106 1
0.3%
20201030 1
0.3%
20200804 1
0.3%
20200731 1
0.3%
20200630 2
0.6%
20200504 1
0.3%
20200413 2
0.6%
20200403 1
0.3%
20200310 1
0.3%
20200305 1
0.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
350 
20201214
 
1
20200705
 
1
20200317
 
1

Length

Max length8
Median length4
Mean length4.0339943
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 350
99.2%
20201214 1
 
0.3%
20200705 1
 
0.3%
20200317 1
 
0.3%

Length

2024-04-18T07:17:35.408368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:35.499808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 350
99.2%
20201214 1
 
0.3%
20200705 1
 
0.3%
20200317 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
350 
20211213
 
1
20210630
 
1
20210316
 
1

Length

Max length8
Median length4
Mean length4.0339943
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 350
99.2%
20211213 1
 
0.3%
20210630 1
 
0.3%
20210316 1
 
0.3%

Length

2024-04-18T07:17:35.600687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:35.716065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 350
99.2%
20211213 1
 
0.3%
20210630 1
 
0.3%
20210316 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

소재지전화
Text

MISSING 

Distinct250
Distinct (%)99.2%
Missing101
Missing (%)28.6%
Memory size2.9 KiB
2024-04-18T07:17:35.922728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.150794
Min length7

Characters and Unicode

Total characters2810
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)98.4%

Sample

1st row903-3939
2nd row051-977-6868
3rd row051-555-0013
4th row051-868-9916
5th row462-2215
ValueCountFrequency (%)
051 8
 
2.9%
070 3
 
1.1%
051-714-6867 2
 
0.7%
051-851-0600 2
 
0.7%
051-461-0080 1
 
0.4%
051-441-1044 1
 
0.4%
0514673200 1
 
0.4%
051-636-0909 1
 
0.4%
051-441-0099 1
 
0.4%
0514698266 1
 
0.4%
Other values (251) 251
92.3%
2024-04-18T07:17:36.268776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 469
16.7%
5 382
13.6%
1 376
13.4%
- 366
13.0%
7 219
7.8%
8 191
6.8%
6 187
 
6.7%
4 176
 
6.3%
2 155
 
5.5%
3 143
 
5.1%
Other values (3) 146
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2422
86.2%
Dash Punctuation 366
 
13.0%
Space Separator 20
 
0.7%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 469
19.4%
5 382
15.8%
1 376
15.5%
7 219
9.0%
8 191
7.9%
6 187
 
7.7%
4 176
 
7.3%
2 155
 
6.4%
3 143
 
5.9%
9 124
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 366
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 469
16.7%
5 382
13.6%
1 376
13.4%
- 366
13.0%
7 219
7.8%
8 191
6.8%
6 187
 
6.7%
4 176
 
6.3%
2 155
 
5.5%
3 143
 
5.1%
Other values (3) 146
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 469
16.7%
5 382
13.6%
1 376
13.4%
- 366
13.0%
7 219
7.8%
8 191
6.8%
6 187
 
6.7%
4 176
 
6.3%
2 155
 
5.5%
3 143
 
5.1%
Other values (3) 146
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)80.6%
Missing286
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean608771.72
Minimum600012
Maximum617814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:36.389394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile600014
Q1601838
median611839
Q3613002
95-th percentile614851.9
Maximum617814
Range17802
Interquartile range (IQR)11164

Descriptive statistics

Standard deviation5797.4846
Coefficient of variation (CV)0.0095232489
Kurtosis-1.4054873
Mean608771.72
Median Absolute Deviation (MAD)3007
Skewness-0.44917317
Sum40787705
Variance33610828
MonotonicityNot monotonic
2024-04-18T07:17:36.498753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600014 4
 
1.1%
612022 3
 
0.8%
612889 3
 
0.8%
613832 2
 
0.6%
612824 2
 
0.6%
601807 2
 
0.6%
601839 2
 
0.6%
614021 2
 
0.6%
601837 2
 
0.6%
600016 1
 
0.3%
Other values (44) 44
 
12.5%
(Missing) 286
81.0%
ValueCountFrequency (%)
600012 1
 
0.3%
600014 4
1.1%
600015 1
 
0.3%
600016 1
 
0.3%
600045 1
 
0.3%
600092 1
 
0.3%
600802 1
 
0.3%
600815 1
 
0.3%
601011 1
 
0.3%
601012 1
 
0.3%
ValueCountFrequency (%)
617814 1
0.3%
617721 1
0.3%
614866 1
0.3%
614854 1
0.3%
614847 1
0.3%
614846 1
0.3%
614844 1
0.3%
614828 1
0.3%
614731 1
0.3%
614720 1
0.3%
Distinct331
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:17:36.756952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.110482
Min length13

Characters and Unicode

Total characters9217
Distinct characters279
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

Unique317 ?
Unique (%)89.8%

Sample

1st row부산광역시 중구 대청동2가 32-1번지
2nd row부산광역시 중구 중앙동4가 53-34번지
3rd row부산광역시 동래구 명륜동 553-5번지 311호
4th row부산광역시 부산진구 양정동 236-3번지 제나두
5th row부산광역시 동구 초량동 1169-3 강남빌딩 613호
ValueCountFrequency (%)
부산광역시 353
 
20.2%
해운대구 72
 
4.1%
부산진구 57
 
3.3%
동구 52
 
3.0%
중구 41
 
2.3%
초량동 38
 
2.2%
우동 36
 
2.1%
부전동 24
 
1.4%
남구 21
 
1.2%
재송동 20
 
1.1%
Other values (634) 1033
59.1%
2024-04-18T07:17:37.165639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1394
 
15.1%
1 461
 
5.0%
460
 
5.0%
453
 
4.9%
449
 
4.9%
366
 
4.0%
366
 
4.0%
359
 
3.9%
353
 
3.8%
- 278
 
3.0%
Other values (269) 4278
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5449
59.1%
Decimal Number 1938
 
21.0%
Space Separator 1394
 
15.1%
Dash Punctuation 278
 
3.0%
Lowercase Letter 92
 
1.0%
Uppercase Letter 56
 
0.6%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
460
 
8.4%
453
 
8.3%
449
 
8.2%
366
 
6.7%
366
 
6.7%
359
 
6.6%
353
 
6.5%
222
 
4.1%
214
 
3.9%
116
 
2.1%
Other values (225) 2091
38.4%
Uppercase Letter
ValueCountFrequency (%)
S 16
28.6%
C 8
14.3%
T 7
12.5%
B 6
 
10.7%
K 5
 
8.9%
H 2
 
3.6%
E 2
 
3.6%
W 2
 
3.6%
A 2
 
3.6%
P 1
 
1.8%
Other values (5) 5
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
e 20
21.7%
o 12
13.0%
a 8
 
8.7%
l 7
 
7.6%
n 6
 
6.5%
i 6
 
6.5%
d 6
 
6.5%
m 6
 
6.5%
p 6
 
6.5%
x 6
 
6.5%
Other values (4) 9
9.8%
Decimal Number
ValueCountFrequency (%)
1 461
23.8%
2 255
13.2%
0 211
10.9%
3 202
10.4%
4 199
10.3%
5 151
 
7.8%
8 134
 
6.9%
7 114
 
5.9%
6 111
 
5.7%
9 100
 
5.2%
Space Separator
ValueCountFrequency (%)
1394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5449
59.1%
Common 3620
39.3%
Latin 148
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
460
 
8.4%
453
 
8.3%
449
 
8.2%
366
 
6.7%
366
 
6.7%
359
 
6.6%
353
 
6.5%
222
 
4.1%
214
 
3.9%
116
 
2.1%
Other values (225) 2091
38.4%
Latin
ValueCountFrequency (%)
e 20
 
13.5%
S 16
 
10.8%
o 12
 
8.1%
a 8
 
5.4%
C 8
 
5.4%
l 7
 
4.7%
T 7
 
4.7%
n 6
 
4.1%
B 6
 
4.1%
i 6
 
4.1%
Other values (19) 52
35.1%
Common
ValueCountFrequency (%)
1394
38.5%
1 461
 
12.7%
- 278
 
7.7%
2 255
 
7.0%
0 211
 
5.8%
3 202
 
5.6%
4 199
 
5.5%
5 151
 
4.2%
8 134
 
3.7%
7 114
 
3.1%
Other values (5) 221
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5449
59.1%
ASCII 3768
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1394
37.0%
1 461
 
12.2%
- 278
 
7.4%
2 255
 
6.8%
0 211
 
5.6%
3 202
 
5.4%
4 199
 
5.3%
5 151
 
4.0%
8 134
 
3.6%
7 114
 
3.0%
Other values (34) 369
 
9.8%
Hangul
ValueCountFrequency (%)
460
 
8.4%
453
 
8.3%
449
 
8.2%
366
 
6.7%
366
 
6.7%
359
 
6.6%
353
 
6.5%
222
 
4.1%
214
 
3.9%
116
 
2.1%
Other values (225) 2091
38.4%
Distinct347
Distinct (%)98.6%
Missing1
Missing (%)0.3%
Memory size2.9 KiB
2024-04-18T07:17:37.457155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length35.46875
Min length21

Characters and Unicode

Total characters12485
Distinct characters323
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

Unique342 ?
Unique (%)97.2%

Sample

1st row부산광역시 중구 광복중앙로 32-1, 3층 (대청동2가)
2nd row부산광역시 중구 해관로 72-1, 화성빌딩 305호 (중앙동4가)
3rd row부산광역시 동래구 명륜로129번길 20, 311호 (명륜동)
4th row부산광역시 부산진구 진연로 9, 301호 (양정동, 제나두)
5th row부산광역시 동구 중앙대로 270, 강남빌딩 613호 (초량동)
ValueCountFrequency (%)
부산광역시 352
 
14.9%
해운대구 72
 
3.0%
부산진구 57
 
2.4%
동구 52
 
2.2%
중앙대로 43
 
1.8%
중구 41
 
1.7%
우동 36
 
1.5%
초량동 36
 
1.5%
3층 28
 
1.2%
부전동 24
 
1.0%
Other values (823) 1625
68.7%
2024-04-18T07:17:37.856229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2023
 
16.2%
509
 
4.1%
458
 
3.7%
455
 
3.6%
1 419
 
3.4%
, 413
 
3.3%
382
 
3.1%
375
 
3.0%
356
 
2.9%
356
 
2.9%
Other values (313) 6739
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7049
56.5%
Decimal Number 2065
 
16.5%
Space Separator 2023
 
16.2%
Other Punctuation 414
 
3.3%
Close Punctuation 354
 
2.8%
Open Punctuation 354
 
2.8%
Lowercase Letter 92
 
0.7%
Uppercase Letter 82
 
0.7%
Dash Punctuation 51
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
509
 
7.2%
458
 
6.5%
455
 
6.5%
382
 
5.4%
375
 
5.3%
356
 
5.1%
356
 
5.1%
349
 
5.0%
261
 
3.7%
220
 
3.1%
Other values (264) 3328
47.2%
Uppercase Letter
ValueCountFrequency (%)
S 17
20.7%
C 13
15.9%
B 8
9.8%
A 8
9.8%
T 7
8.5%
E 7
8.5%
P 5
 
6.1%
K 5
 
6.1%
W 3
 
3.7%
I 2
 
2.4%
Other values (6) 7
8.5%
Lowercase Letter
ValueCountFrequency (%)
e 20
21.7%
o 12
13.0%
a 8
 
8.7%
l 7
 
7.6%
w 6
 
6.5%
n 6
 
6.5%
x 6
 
6.5%
p 6
 
6.5%
m 6
 
6.5%
d 6
 
6.5%
Other values (4) 9
9.8%
Decimal Number
ValueCountFrequency (%)
1 419
20.3%
2 316
15.3%
0 289
14.0%
3 250
12.1%
4 201
9.7%
7 142
 
6.9%
5 127
 
6.2%
6 117
 
5.7%
9 112
 
5.4%
8 92
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 413
99.8%
* 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 353
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 353
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7049
56.5%
Common 5262
42.1%
Latin 174
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
509
 
7.2%
458
 
6.5%
455
 
6.5%
382
 
5.4%
375
 
5.3%
356
 
5.1%
356
 
5.1%
349
 
5.0%
261
 
3.7%
220
 
3.1%
Other values (264) 3328
47.2%
Latin
ValueCountFrequency (%)
e 20
 
11.5%
S 17
 
9.8%
C 13
 
7.5%
o 12
 
6.9%
B 8
 
4.6%
A 8
 
4.6%
a 8
 
4.6%
T 7
 
4.0%
l 7
 
4.0%
E 7
 
4.0%
Other values (20) 67
38.5%
Common
ValueCountFrequency (%)
2023
38.4%
1 419
 
8.0%
, 413
 
7.8%
) 353
 
6.7%
( 353
 
6.7%
2 316
 
6.0%
0 289
 
5.5%
3 250
 
4.8%
4 201
 
3.8%
7 142
 
2.7%
Other values (9) 503
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7049
56.5%
ASCII 5436
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2023
37.2%
1 419
 
7.7%
, 413
 
7.6%
) 353
 
6.5%
( 353
 
6.5%
2 316
 
5.8%
0 289
 
5.3%
3 250
 
4.6%
4 201
 
3.7%
7 142
 
2.6%
Other values (39) 677
 
12.5%
Hangul
ValueCountFrequency (%)
509
 
7.2%
458
 
6.5%
455
 
6.5%
382
 
5.4%
375
 
5.3%
356
 
5.1%
356
 
5.1%
349
 
5.0%
261
 
3.7%
220
 
3.1%
Other values (264) 3328
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct208
Distinct (%)61.4%
Missing14
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean79560.413
Minimum46019
Maximum617814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:37.970107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46019
5-th percentile46756.1
Q147524.5
median48111
Q348821
95-th percentile600092.8
Maximum617814
Range571795
Interquartile range (IQR)1296.5

Descriptive statistics

Standard deviation129338.55
Coefficient of variation (CV)1.6256646
Kurtosis13.119801
Mean79560.413
Median Absolute Deviation (MAD)707
Skewness3.8780577
Sum26970980
Variance1.672846 × 1010
MonotonicityNot monotonic
2024-04-18T07:17:38.076441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 20
 
5.7%
47257 8
 
2.3%
48060 7
 
2.0%
48058 7
 
2.0%
48930 6
 
1.7%
48821 6
 
1.7%
48818 6
 
1.7%
49037 6
 
1.7%
48957 5
 
1.4%
48729 4
 
1.1%
Other values (198) 264
74.8%
(Missing) 14
 
4.0%
ValueCountFrequency (%)
46019 1
0.3%
46023 1
0.3%
46054 1
0.3%
46064 1
0.3%
46229 1
0.3%
46244 1
0.3%
46281 1
0.3%
46288 1
0.3%
46293 1
0.3%
46335 1
0.3%
ValueCountFrequency (%)
617814 1
0.3%
617721 1
0.3%
614866 1
0.3%
614828 1
0.3%
614021 1
0.3%
613832 1
0.3%
612893 1
0.3%
612889 1
0.3%
612840 1
0.3%
612712 1
0.3%

사업장명
Text

UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:17:38.272843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.9546742
Min length3

Characters and Unicode

Total characters3161
Distinct characters365
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)100.0%

Sample

1st row진투어
2nd row(주)팝콘투어네트웍스
3rd row(주)우리투어
4th row(주)세진월드
5th row하나가오 여행사
ValueCountFrequency (%)
주식회사 56
 
11.9%
tour 7
 
1.5%
투어 5
 
1.1%
여행사 4
 
0.8%
코리아 3
 
0.6%
부산 2
 
0.4%
에듀케이션 2
 
0.4%
2
 
0.4%
cm투어 2
 
0.4%
유에스 2
 
0.4%
Other values (384) 386
82.0%
2024-04-18T07:17:38.612754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
8.8%
( 233
 
7.4%
) 233
 
7.4%
118
 
3.7%
118
 
3.7%
106
 
3.4%
103
 
3.3%
86
 
2.7%
85
 
2.7%
82
 
2.6%
Other values (355) 1720
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2392
75.7%
Open Punctuation 233
 
7.4%
Close Punctuation 233
 
7.4%
Space Separator 118
 
3.7%
Uppercase Letter 106
 
3.4%
Lowercase Letter 59
 
1.9%
Other Punctuation 8
 
0.3%
Decimal Number 6
 
0.2%
Dash Punctuation 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
277
 
11.6%
118
 
4.9%
106
 
4.4%
103
 
4.3%
86
 
3.6%
85
 
3.6%
82
 
3.4%
62
 
2.6%
61
 
2.6%
59
 
2.5%
Other values (304) 1353
56.6%
Uppercase Letter
ValueCountFrequency (%)
T 13
 
12.3%
A 8
 
7.5%
U 8
 
7.5%
O 7
 
6.6%
S 7
 
6.6%
N 6
 
5.7%
R 6
 
5.7%
C 6
 
5.7%
M 6
 
5.7%
Y 4
 
3.8%
Other values (12) 35
33.0%
Lowercase Letter
ValueCountFrequency (%)
r 11
18.6%
o 11
18.6%
u 7
11.9%
t 7
11.9%
i 3
 
5.1%
e 3
 
5.1%
d 3
 
5.1%
s 2
 
3.4%
b 2
 
3.4%
m 2
 
3.4%
Other values (7) 8
13.6%
Other Punctuation
ValueCountFrequency (%)
' 2
25.0%
. 2
25.0%
, 2
25.0%
& 2
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
0 1
 
16.7%
2 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2385
75.5%
Common 604
 
19.1%
Latin 165
 
5.2%
Han 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
277
 
11.6%
118
 
4.9%
106
 
4.4%
103
 
4.3%
86
 
3.6%
85
 
3.6%
82
 
3.4%
62
 
2.6%
61
 
2.6%
59
 
2.5%
Other values (297) 1346
56.4%
Latin
ValueCountFrequency (%)
T 13
 
7.9%
r 11
 
6.7%
o 11
 
6.7%
A 8
 
4.8%
U 8
 
4.8%
u 7
 
4.2%
O 7
 
4.2%
S 7
 
4.2%
t 7
 
4.2%
N 6
 
3.6%
Other values (29) 80
48.5%
Common
ValueCountFrequency (%)
( 233
38.6%
) 233
38.6%
118
19.5%
- 4
 
0.7%
1 4
 
0.7%
' 2
 
0.3%
. 2
 
0.3%
, 2
 
0.3%
& 2
 
0.3%
> 2
 
0.3%
Other values (2) 2
 
0.3%
Han
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2385
75.5%
ASCII 769
 
24.3%
CJK 7
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
277
 
11.6%
118
 
4.9%
106
 
4.4%
103
 
4.3%
86
 
3.6%
85
 
3.6%
82
 
3.4%
62
 
2.6%
61
 
2.6%
59
 
2.5%
Other values (297) 1346
56.4%
ASCII
ValueCountFrequency (%)
( 233
30.3%
) 233
30.3%
118
15.3%
T 13
 
1.7%
r 11
 
1.4%
o 11
 
1.4%
A 8
 
1.0%
U 8
 
1.0%
u 7
 
0.9%
O 7
 
0.9%
Other values (41) 120
15.6%
CJK
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0189351 × 1013
Minimum2.0101111 × 1013
Maximum2.0210128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:39.247068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0101111 × 1013
5-th percentile2.0141177 × 1013
Q12.0190201 × 1013
median2.020032 × 1013
Q32.0200812 × 1013
95-th percentile2.0210112 × 1013
Maximum2.0210128 × 1013
Range1.0901698 × 1011
Interquartile range (IQR)1.0611065 × 1010

Descriptive statistics

Standard deviation2.0329866 × 1010
Coefficient of variation (CV)0.0010069599
Kurtosis3.9159565
Mean2.0189351 × 1013
Median Absolute Deviation (MAD)9.0997192 × 108
Skewness-1.9869914
Sum7.1268409 × 1015
Variance4.1330345 × 1020
MonotonicityNot monotonic
2024-04-18T07:17:39.397862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160609143658 1
 
0.3%
20210119131415 1
 
0.3%
20201216103629 1
 
0.3%
20191213104038 1
 
0.3%
20191125102145 1
 
0.3%
20200714144556 1
 
0.3%
20200221180405 1
 
0.3%
20170914180013 1
 
0.3%
20191128094736 1
 
0.3%
20190326111634 1
 
0.3%
Other values (343) 343
97.2%
ValueCountFrequency (%)
20101111154241 1
0.3%
20110502175958 1
0.3%
20110523111012 1
0.3%
20110713180541 1
0.3%
20111003150103 1
0.3%
20120425141705 1
0.3%
20120508085704 1
0.3%
20120713162914 1
0.3%
20130117162510 1
0.3%
20130130142031 1
0.3%
ValueCountFrequency (%)
20210128133645 1
0.3%
20210126111653 1
0.3%
20210125121247 1
0.3%
20210122091043 1
0.3%
20210120130751 1
0.3%
20210120104555 1
0.3%
20210120104006 1
0.3%
20210119133729 1
0.3%
20210119131415 1
0.3%
20210119094124 1
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
U
252 
I
101 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 252
71.4%
I 101
28.6%

Length

2024-04-18T07:17:39.514894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:39.604413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 252
71.4%
i 101
28.6%
Distinct197
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-30 00:23:03
2024-04-18T07:17:39.700722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:17:39.824412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

좌표정보(x)
Real number (ℝ)

Distinct280
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388915.71
Minimum370683.06
Maximum402047.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:39.953218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370683.06
5-th percentile381024.61
Q1385766.93
median388005.69
Q3392515.69
95-th percentile397160
Maximum402047.51
Range31364.45
Interquartile range (IQR)6748.7561

Descriptive statistics

Standard deviation4574.405
Coefficient of variation (CV)0.011761945
Kurtosis0.49118496
Mean388915.71
Median Absolute Deviation (MAD)2450.6107
Skewness0.06227037
Sum1.3728725 × 108
Variance20925182
MonotonicityNot monotonic
2024-04-18T07:17:40.067359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394209.294344881 7
 
2.0%
387225.613588405 6
 
1.7%
385754.477258744 6
 
1.7%
386767.752701442 5
 
1.4%
393503.395720953 5
 
1.4%
393607.260373715 5
 
1.4%
393284.046237794 3
 
0.8%
395388.715069604 3
 
0.8%
393963.840834294 3
 
0.8%
391411.212179843 3
 
0.8%
Other values (270) 307
87.0%
ValueCountFrequency (%)
370683.061499403 1
0.3%
377751.150549468 1
0.3%
377988.03993089 1
0.3%
378086.819793162 1
0.3%
378260.668626959 2
0.6%
378993.936915656 1
0.3%
379212.079721725 1
0.3%
379903.816297153 1
0.3%
380236.268913744 1
0.3%
380482.767624189 1
0.3%
ValueCountFrequency (%)
402047.511203294 1
0.3%
401883.243837391 1
0.3%
400257.139717223 1
0.3%
399031.644528728 1
0.3%
398491.352089522 2
0.6%
398431.390184482 1
0.3%
398411.900186239 1
0.3%
398304.016430747 1
0.3%
398240.0 1
0.3%
398237.363461482 1
0.3%

좌표정보(y)
Real number (ℝ)

Distinct280
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185503.61
Minimum174149.42
Maximum205969.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:40.176903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174149.42
5-th percentile179254.27
Q1181889.1
median186155.76
Q3188030.86
95-th percentile191953.54
Maximum205969.83
Range31820.411
Interquartile range (IQR)6141.7641

Descriptive statistics

Standard deviation4450.4696
Coefficient of variation (CV)0.023991283
Kurtosis2.4703019
Mean185503.61
Median Absolute Deviation (MAD)2402.4698
Skewness0.73956539
Sum65482774
Variance19806680
MonotonicityNot monotonic
2024-04-18T07:17:40.285252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187280.207931335 7
 
2.0%
186408.726533861 6
 
1.7%
179113.980448494 6
 
1.7%
181913.054093558 5
 
1.4%
188279.474831569 5
 
1.4%
188408.076687691 5
 
1.4%
187432.534573096 3
 
0.8%
186268.853282623 3
 
0.8%
188061.35516256 3
 
0.8%
184052.409245407 3
 
0.8%
Other values (270) 307
87.0%
ValueCountFrequency (%)
174149.423830981 1
0.3%
175140.099221406 1
0.3%
175704.977617908 1
0.3%
176232.618665254 1
0.3%
176716.01395798 1
0.3%
177413.108840591 1
0.3%
177527.437966343 1
0.3%
178184.175148306 1
0.3%
178351.510128952 1
0.3%
178624.718304088 1
0.3%
ValueCountFrequency (%)
205969.834966622 1
0.3%
205215.662219856 1
0.3%
204623.795047106 1
0.3%
197737.979994619 1
0.3%
197678.738884706 1
0.3%
197544.55928843 1
0.3%
196093.556757469 1
0.3%
195846.19013046 1
0.3%
195126.219715171 1
0.3%
194543.760992764 2
0.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반여행업
353 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반여행업 353
100.0%

Length

2024-04-18T07:17:40.388931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:40.464961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 353
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
293 
일반주거지역
 
15
일반상업지역
 
13
상업지역
 
10
준주거지역
 
10
Other values (4)
 
12

Length

Max length6
Median length4
Mean length4.2181303
Min length4

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> 293
83.0%
일반주거지역 15
 
4.2%
일반상업지역 13
 
3.7%
상업지역 10
 
2.8%
준주거지역 10
 
2.8%
주거지역 5
 
1.4%
준공업지역 3
 
0.8%
근린상업지역 2
 
0.6%
자연녹지지역 2
 
0.6%

Length

2024-04-18T07:17:40.563370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:40.673777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
83.0%
일반주거지역 15
 
4.2%
일반상업지역 13
 
3.7%
상업지역 10
 
2.8%
준주거지역 10
 
2.8%
주거지역 5
 
1.4%
준공업지역 3
 
0.8%
근린상업지역 2
 
0.6%
자연녹지지역 2
 
0.6%

총층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)32.6%
Missing310
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean5.4418605
Minimum0
Maximum36
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:40.773282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q12
median4
Q36
95-th percentile12
Maximum36
Range36
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.9132713
Coefficient of variation (CV)1.0866268
Kurtosis16.710508
Mean5.4418605
Median Absolute Deviation (MAD)2
Skewness3.550644
Sum234
Variance34.966777
MonotonicityNot monotonic
2024-04-18T07:17:40.883123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 11
 
3.1%
4 7
 
2.0%
3 7
 
2.0%
6 4
 
1.1%
11 2
 
0.6%
10 2
 
0.6%
12 2
 
0.6%
1 2
 
0.6%
9 1
 
0.3%
14 1
 
0.3%
Other values (4) 4
 
1.1%
(Missing) 310
87.8%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.6%
2 11
3.1%
3 7
2.0%
4 7
2.0%
5 1
 
0.3%
6 4
 
1.1%
7 1
 
0.3%
9 1
 
0.3%
10 2
 
0.6%
ValueCountFrequency (%)
36 1
 
0.3%
14 1
 
0.3%
12 2
 
0.6%
11 2
 
0.6%
10 2
 
0.6%
9 1
 
0.3%
7 1
 
0.3%
6 4
1.1%
5 1
 
0.3%
4 7
2.0%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
319 
기타
 
15
학교정화(상대)
 
8
주택가주변
 
5
아파트지역
 
3

Length

Max length8
Median length4
Mean length4.0623229
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> 319
90.4%
기타 15
 
4.2%
학교정화(상대) 8
 
2.3%
주택가주변 5
 
1.4%
아파트지역 3
 
0.8%
유흥업소밀집지역 3
 
0.8%

Length

2024-04-18T07:17:40.997404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:41.092953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 319
90.4%
기타 15
 
4.2%
학교정화(상대 8
 
2.3%
주택가주변 5
 
1.4%
아파트지역 3
 
0.8%
유흥업소밀집지역 3
 
0.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

보험기관명
Categorical

Distinct21
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
서울보증보험주식회사
118 
서울보증보험
79 
<NA>
48 
한국관광협회중앙회
26 
한국관광협회중앙회 여행공제회
24 
Other values (16)
58 

Length

Max length18
Median length15
Mean length8.3767705
Min length4

Unique

Unique8 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
서울보증보험주식회사 118
33.4%
서울보증보험 79
22.4%
<NA> 48
13.6%
한국관광협회중앙회 26
 
7.4%
한국관광협회중앙회 여행공제회 24
 
6.8%
한국관광협회 23
 
6.5%
서울보증보험(주) 6
 
1.7%
(주)서울보증보험 5
 
1.4%
한국관광협회중앙회 관광공제회 5
 
1.4%
한국관광협회중앙회여행공제회 4
 
1.1%
Other values (11) 15
 
4.2%

Length

2024-04-18T07:17:41.210048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울보증보험주식회사 118
30.6%
서울보증보험 81
21.0%
한국관광협회중앙회 55
14.2%
na 48
12.4%
여행공제회 24
 
6.2%
한국관광협회 24
 
6.2%
서울보증보험(주 6
 
1.6%
주)서울보증보험 5
 
1.3%
관광공제회 5
 
1.3%
한국관광협회중앙회여행공제회 4
 
1.0%
Other values (12) 16
 
4.1%

건물용도명
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
288 
근린생활시설
37 
사무실
 
19
기타
 
3
아파트
 
1
Other values (5)
 
5

Length

Max length12
Median length4
Mean length4.1728045
Min length2

Unique

Unique6 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 288
81.6%
근린생활시설 37
 
10.5%
사무실 19
 
5.4%
기타 3
 
0.8%
아파트 1
 
0.3%
교육연구시설 1
 
0.3%
단독주택 1
 
0.3%
다세대주택 1
 
0.3%
농업생산시설 1
 
0.3%
다중주택(공동주택적용) 1
 
0.3%

Length

2024-04-18T07:17:41.337553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:41.465756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
81.6%
근린생활시설 37
 
10.5%
사무실 19
 
5.4%
기타 3
 
0.8%
아파트 1
 
0.3%
교육연구시설 1
 
0.3%
단독주택 1
 
0.3%
다세대주택 1
 
0.3%
농업생산시설 1
 
0.3%
다중주택(공동주택적용 1
 
0.3%

지상층수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)27.1%
Missing305
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean4.7291667
Minimum0
Maximum32
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:41.589045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile10.65
Maximum32
Range32
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.1766233
Coefficient of variation (CV)1.0946164
Kurtosis15.935135
Mean4.7291667
Median Absolute Deviation (MAD)2
Skewness3.4191157
Sum227
Variance26.797429
MonotonicityNot monotonic
2024-04-18T07:17:41.692849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 11
 
3.1%
3 9
 
2.5%
1 7
 
2.0%
5 6
 
1.7%
10 4
 
1.1%
4 3
 
0.8%
9 2
 
0.6%
8 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
Other values (3) 3
 
0.8%
(Missing) 305
86.4%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.0%
2 11
3.1%
3 9
2.5%
4 3
 
0.8%
5 6
1.7%
6 1
 
0.3%
8 1
 
0.3%
9 2
 
0.6%
10 4
 
1.1%
ValueCountFrequency (%)
32 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
10 4
1.1%
9 2
 
0.6%
8 1
 
0.3%
6 1
 
0.3%
5 6
1.7%
4 3
 
0.8%
3 9
2.5%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
331 
1
 
8
0
 
7
2
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.8130312
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
93.8%
1 8
 
2.3%
0 7
 
2.0%
2 5
 
1.4%
3 1
 
0.3%
5 1
 
0.3%

Length

2024-04-18T07:17:41.820746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:41.937134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
93.8%
1 8
 
2.3%
0 7
 
2.0%
2 5
 
1.4%
3 1
 
0.3%
5 1
 
0.3%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

영문상호명
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing317
Missing (%)89.8%
Memory size2.9 KiB
2024-04-18T07:17:42.129595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length21.277778
Min length6

Characters and Unicode

Total characters766
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowHanaart Travel Agency
2nd rowPacific Concierge, Inc.
3rd rowVIP Tour
4th rowWON C&T Co., Ltd
5th rowLeo Tour Co.Ltd
ValueCountFrequency (%)
ltd 12
 
9.3%
travel 11
 
8.5%
tour 11
 
8.5%
co 11
 
8.5%
service 5
 
3.9%
co.,ltd 4
 
3.1%
inc 3
 
2.3%
busan 3
 
2.3%
co.ltd 3
 
2.3%
saebusan 2
 
1.6%
Other values (58) 64
49.6%
2024-04-18T07:17:42.458842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
12.3%
T 43
 
5.6%
A 35
 
4.6%
R 34
 
4.4%
L 34
 
4.4%
. 33
 
4.3%
C 33
 
4.3%
O 32
 
4.2%
E 32
 
4.2%
o 30
 
3.9%
Other values (36) 366
47.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 422
55.1%
Lowercase Letter 198
25.8%
Space Separator 94
 
12.3%
Other Punctuation 52
 
6.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 43
10.2%
A 35
 
8.3%
R 34
 
8.1%
L 34
 
8.1%
C 33
 
7.8%
O 32
 
7.6%
E 32
 
7.6%
N 25
 
5.9%
S 25
 
5.9%
U 23
 
5.5%
Other values (12) 106
25.1%
Lowercase Letter
ValueCountFrequency (%)
o 30
15.2%
r 23
11.6%
t 22
11.1%
e 17
8.6%
a 16
8.1%
n 15
7.6%
d 14
7.1%
u 11
 
5.6%
c 10
 
5.1%
i 8
 
4.0%
Other values (10) 32
16.2%
Other Punctuation
ValueCountFrequency (%)
. 33
63.5%
, 14
26.9%
& 5
 
9.6%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 620
80.9%
Common 146
 
19.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 43
 
6.9%
A 35
 
5.6%
R 34
 
5.5%
L 34
 
5.5%
C 33
 
5.3%
O 32
 
5.2%
E 32
 
5.2%
o 30
 
4.8%
N 25
 
4.0%
S 25
 
4.0%
Other values (32) 297
47.9%
Common
ValueCountFrequency (%)
94
64.4%
. 33
 
22.6%
, 14
 
9.6%
& 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 766
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
 
12.3%
T 43
 
5.6%
A 35
 
4.6%
R 34
 
4.4%
L 34
 
4.4%
. 33
 
4.3%
C 33
 
4.3%
O 32
 
4.2%
E 32
 
4.2%
o 30
 
3.9%
Other values (36) 366
47.8%

영문상호주소
Categorical

IMBALANCE 

Distinct14
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
317 
General travel business
 
14
GENERAL TRAVEL BUSINESS
 
7
General Travel Business
 
4
General Travel Industry
 
2
Other values (9)
 
9

Length

Max length27
Median length4
Mean length5.9150142
Min length4

Unique

Unique9 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 317
89.8%
General travel business 14
 
4.0%
GENERAL TRAVEL BUSINESS 7
 
2.0%
General Travel Business 4
 
1.1%
General Travel Industry 2
 
0.6%
General Travel business 1
 
0.3%
The general travel industry 1
 
0.3%
General travel agency 1
 
0.3%
General travel industry 1
 
0.3%
General Traval Agency 1
 
0.3%
Other values (4) 4
 
1.1%

Length

2024-04-18T07:17:42.572388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 317
74.2%
general 35
 
8.2%
travel 35
 
8.2%
business 26
 
6.1%
industry 4
 
0.9%
agency 4
 
0.9%
the 2
 
0.5%
traval 1
 
0.2%
agents 1
 
0.2%
tour 1
 
0.2%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)91.9%
Missing267
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean132.50116
Minimum0
Maximum1988.63
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:42.679439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.0075
Q134.395
median60.485
Q3122.3425
95-th percentile319.255
Maximum1988.63
Range1988.63
Interquartile range (IQR)87.9475

Descriptive statistics

Standard deviation301.76709
Coefficient of variation (CV)2.2774675
Kurtosis33.106702
Mean132.50116
Median Absolute Deviation (MAD)29.5
Skewness5.6353727
Sum11395.1
Variance91063.378
MonotonicityNot monotonic
2024-04-18T07:17:42.796869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 4
 
1.1%
42.05 2
 
0.6%
1988.63 2
 
0.6%
66.0 2
 
0.6%
35.58 2
 
0.6%
108.16 1
 
0.3%
26.65 1
 
0.3%
105.2 1
 
0.3%
40.13 1
 
0.3%
219.4 1
 
0.3%
Other values (69) 69
 
19.5%
(Missing) 267
75.6%
ValueCountFrequency (%)
0.0 1
0.3%
7.6 1
0.3%
9.0 1
0.3%
9.9 1
0.3%
15.84 1
0.3%
16.51 1
0.3%
18.0 1
0.3%
20.0 1
0.3%
20.05 1
0.3%
23.23 1
0.3%
ValueCountFrequency (%)
1988.63 2
0.6%
569.0 1
0.3%
394.21 1
0.3%
332.34 1
0.3%
280.0 1
0.3%
219.4 1
0.3%
217.0 1
0.3%
211.7 1
0.3%
207.0 1
0.3%
190.0 1
0.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
348 
20170804
 
1
20200528
 
1
20201224
 
1
20200401
 
1

Length

Max length8
Median length4
Mean length4.0566572
Min length4

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 348
98.6%
20170804 1
 
0.3%
20200528 1
 
0.3%
20201224 1
 
0.3%
20200401 1
 
0.3%
20190106 1
 
0.3%

Length

2024-04-18T07:17:42.919237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:43.034166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 348
98.6%
20170804 1
 
0.3%
20200528 1
 
0.3%
20201224 1
 
0.3%
20200401 1
 
0.3%
20190106 1
 
0.3%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
348 
20180803
 
1
20210527
 
1
20211224
 
1
20210331
 
1

Length

Max length8
Median length4
Mean length4.0566572
Min length4

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 348
98.6%
20180803 1
 
0.3%
20210527 1
 
0.3%
20211224 1
 
0.3%
20210331 1
 
0.3%
20200105 1
 
0.3%

Length

2024-04-18T07:17:43.172878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:17:43.281281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 348
98.6%
20180803 1
 
0.3%
20210527 1
 
0.3%
20211224 1
 
0.3%
20210331 1
 
0.3%
20200105 1
 
0.3%

자본금
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)31.0%
Missing82
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean9.8663564 × 108
Minimum6
Maximum2 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:43.406069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile1 × 108
Q11 × 108
median1.6818754 × 108
Q32.0014923 × 108
95-th percentile4.4588 × 108
Maximum2 × 1011
Range2 × 1011
Interquartile range (IQR)1.0014923 × 108

Descriptive statistics

Standard deviation1.2147118 × 1010
Coefficient of variation (CV)12.311656
Kurtosis269.81622
Mean9.8663564 × 108
Median Absolute Deviation (MAD)68187538
Skewness16.409205
Sum2.6737826 × 1011
Variance1.4755248 × 1020
MonotonicityNot monotonic
2024-04-18T07:17:43.550964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 88
24.9%
200000000 64
18.1%
350000000 20
 
5.7%
300000000 7
 
2.0%
150000000 7
 
2.0%
210000000 3
 
0.8%
500000000 2
 
0.6%
110000000 2
 
0.6%
2000000000 2
 
0.6%
50000000 2
 
0.6%
Other values (74) 74
21.0%
(Missing) 82
23.2%
ValueCountFrequency (%)
6 1
 
0.3%
50000000 2
 
0.6%
100000000 88
24.9%
100002853 1
 
0.3%
100024343 1
 
0.3%
100076500 1
 
0.3%
100092629 1
 
0.3%
100129327 1
 
0.3%
100334085 1
 
0.3%
100550000 1
 
0.3%
ValueCountFrequency (%)
200000000000 1
0.3%
6502015000 1
0.3%
5633811311 1
0.3%
3000000000 1
0.3%
2000000000 2
0.6%
800000000 1
0.3%
759992453 1
0.3%
600000000 1
0.3%
550000000 1
0.3%
515394960 1
0.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)85.5%
Missing35
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean20186375
Minimum20090407
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:43.695580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090407
5-th percentile20140393
Q120180720
median20191205
Q320200705
95-th percentile20201126
Maximum20210122
Range119715
Interquartile range (IQR)19984.25

Descriptive statistics

Standard deviation21381.827
Coefficient of variation (CV)0.0010592207
Kurtosis3.0931871
Mean20186375
Median Absolute Deviation (MAD)9517.5
Skewness-1.8199265
Sum6.4192673 × 109
Variance4.5718251 × 108
MonotonicityNot monotonic
2024-04-18T07:17:43.812229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200201 4
 
1.1%
20200709 3
 
0.8%
20201201 3
 
0.8%
20191101 3
 
0.8%
20180401 2
 
0.6%
20200622 2
 
0.6%
20200326 2
 
0.6%
20190401 2
 
0.6%
20200704 2
 
0.6%
20190822 2
 
0.6%
Other values (262) 293
83.0%
(Missing) 35
 
9.9%
ValueCountFrequency (%)
20090407 1
0.3%
20101022 1
0.3%
20110507 1
0.3%
20111106 1
0.3%
20120720 1
0.3%
20120906 1
0.3%
20121219 1
0.3%
20130201 1
0.3%
20130401 1
0.3%
20130611 1
0.3%
ValueCountFrequency (%)
20210122 1
0.3%
20210121 1
0.3%
20210108 1
0.3%
20210101 1
0.3%
20201229 1
0.3%
20201226 1
0.3%
20201224 1
0.3%
20201215 1
0.3%
20201211 1
0.3%
20201205 1
0.3%

보험종료일자
Real number (ℝ)

MISSING 

Distinct275
Distinct (%)86.5%
Missing35
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean20202611
Minimum20100407
Maximum21210824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:43.930304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100407
5-th percentile20150393
Q120190720
median20201210
Q320210707
95-th percentile20211130
Maximum21210824
Range1110417
Interquartile range (IQR)19987.5

Descriptive statistics

Standard deviation83106.319
Coefficient of variation (CV)0.0041136425
Kurtosis136.24891
Mean20202611
Median Absolute Deviation (MAD)9557
Skewness11.287934
Sum6.4244303 × 109
Variance6.9066603 × 109
MonotonicityNot monotonic
2024-04-18T07:17:44.078224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210131 4
 
1.1%
20211130 3
 
0.8%
20201031 3
 
0.8%
20210708 3
 
0.8%
20210215 2
 
0.6%
20171229 2
 
0.6%
20210702 2
 
0.6%
20210731 2
 
0.6%
20201130 2
 
0.6%
20210317 2
 
0.6%
Other values (265) 293
83.0%
(Missing) 35
 
9.9%
ValueCountFrequency (%)
20100407 1
0.3%
20111121 1
0.3%
20120507 1
0.3%
20121105 1
0.3%
20130720 1
0.3%
20130905 1
0.3%
20131219 1
0.3%
20140131 1
0.3%
20140331 1
0.3%
20140610 1
0.3%
ValueCountFrequency (%)
21210824 1
0.3%
21210705 1
0.3%
20221103 1
0.3%
20220122 1
0.3%
20220121 1
0.3%
20220107 1
0.3%
20211231 1
0.3%
20211228 1
0.3%
20211225 1
0.3%
20211224 1
0.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)75.6%
Missing267
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean132.48837
Minimum0
Maximum1989
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:17:44.198697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.25
Q134.5
median60.5
Q3122.25
95-th percentile319
Maximum1989
Range1989
Interquartile range (IQR)87.75

Descriptive statistics

Standard deviation301.81154
Coefficient of variation (CV)2.2780229
Kurtosis33.115133
Mean132.48837
Median Absolute Deviation (MAD)29.5
Skewness5.6363421
Sum11394
Variance91090.206
MonotonicityNot monotonic
2024-04-18T07:17:44.324254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 5
 
1.4%
69 3
 
0.8%
90 3
 
0.8%
42 3
 
0.8%
49 2
 
0.6%
1989 2
 
0.6%
30 2
 
0.6%
66 2
 
0.6%
182 2
 
0.6%
40 2
 
0.6%
Other values (55) 60
 
17.0%
(Missing) 267
75.6%
ValueCountFrequency (%)
0 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
16 1
0.3%
17 1
0.3%
18 1
0.3%
20 2
0.6%
23 1
0.3%
25 1
0.3%
ValueCountFrequency (%)
1989 2
0.6%
569 1
0.3%
394 1
0.3%
332 1
0.3%
280 1
0.3%
219 1
0.3%
217 1
0.3%
212 1
0.3%
207 1
0.3%
190 1
0.3%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing353
Missing (%)100.0%
Memory size3.2 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01일반여행업03_12_03_P3250000CDFI226004201400000320141030201606094취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>903-3939<NA>600092부산광역시 중구 대청동2가 32-1번지부산광역시 중구 광복중앙로 32-1, 3층 (대청동2가)48949진투어20160609143658I2018-08-31 23:59:59.0<NA>385127.739732180011.239958일반여행업<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>2000000002014110520151104<NA><NA><NA>
12일반여행업03_12_03_P3250000CDFI226004201700000620170120201912304취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-977-6868<NA><NA>부산광역시 중구 중앙동4가 53-34번지부산광역시 중구 해관로 72-1, 화성빌딩 305호 (중앙동4가)48929(주)팝콘투어네트웍스20191230141717U2020-01-01 02:40:00.0<NA>385531.701312180366.998979일반여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002018020120190131<NA><NA><NA>
23일반여행업03_12_03_P3300000CDFI226004200400000120041021201605164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-555-0013<NA>607011부산광역시 동래구 명륜동 553-5번지 311호부산광역시 동래구 명륜로129번길 20, 311호 (명륜동)<NA>(주)우리투어20160516105516I2018-08-31 23:59:59.0<NA>389460.804046191567.517047일반여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014021720150217<NA><NA><NA>
34일반여행업03_12_03_P3290000CDFI226004201800000320180508201912064취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-868-9916<NA><NA>부산광역시 부산진구 양정동 236-3번지 제나두부산광역시 부산진구 진연로 9, 301호 (양정동, 제나두)47209(주)세진월드20200226091151U2020-02-28 02:40:00.0<NA>388867.671912188566.277335일반여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4770000002018051420190513<NA><NA><NA>
45일반여행업03_12_03_P3270000CDFI226004201800001020181113<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 1169-3 강남빌딩 613호부산광역시 동구 중앙대로 270, 강남빌딩 613호 (초량동)48731하나가오 여행사20200811135837U2020-08-13 02:40:00.0<NA>386177.958994182089.626705일반여행업<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>
56일반여행업03_12_03_P3270000CDFI226004200800000120080724201207094취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>462-2215<NA>601837부산광역시 동구 초량동 1169-11번지 아키빌딩 301호부산광역시 동구 중앙대로 264, 301호 (초량동,아키빌딩)<NA>(주)우주여행사20130117162510I2018-08-31 23:59:59.0<NA>386151.607173182025.58159일반여행업<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>
67일반여행업03_12_03_P3340000CDFI226004201700000120170412202005224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>0519770008<NA><NA>부산광역시 사하구 하단동 526-6번지부산광역시 사하구 낙동남로 1413, 13층 (하단동, 아트몰링)49311하나아트여행사20200522151733U2020-05-24 02:40:00.0<NA>379212.079722180390.068955일반여행업<NA>일반상업지역<NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA>Hanaart Travel AgencyGeneral Travel business<NA><NA><NA><NA><NA><NA><NA>41.0<NA><NA><NA><NA><NA><NA><NA><NA>1000000002019030320200302<NA>41<NA>
78일반여행업03_12_03_P3380000CDFI226004200700000120070410201003054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051)755-4545<NA>613805부산광역시 수영구 광안동 193-4번지 대우아이빌 2004호부산광역시 수영구 광안로62번길 39, 2004호 (광안동,대우아이빌)<NA>(주)에스알컴퍼니20101111154241I2018-08-31 23:59:59.0<NA>392903.67615185823.335339일반여행업<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>350000000<NA><NA><NA><NA><NA>
89일반여행업03_12_03_P3380000CDFI226004201300000120130430201601294취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-751-2733<NA>613832부산광역시 수영구 수영동 519번지 3층부산광역시 수영구 수영로 757, 3층 (수영동)48222(주)엠케이메디칼20160201110627I2018-08-31 23:59:59.0<NA>393259.40303187424.494459일반여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2100000002014050220150501<NA><NA><NA>
910일반여행업03_12_03_P3250000CDFI226004201900000320190312<NA>3폐업3폐업20200305<NA><NA><NA>070-7599-3464<NA><NA>부산광역시 중구 중앙동4가 89-2번지부산광역시 중구 중앙대로 96, 흥우빌딩 5층 (중앙동4가)48939블루아시아(주)20200305104916U2020-03-07 02:40:00.0<NA>385614.928478180471.183034일반여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002019031320200313<NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
343344일반여행업03_12_03_P3330000CDFI226004202000000320200306<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1436-2번지 아라트리움 3303호부산광역시 해운대구 마린시티1로 127, 아라트리움 3303호 (우동)48118펀펀투어20200306101554I2020-03-08 00:23:22.0<NA>395542.530891186068.484392일반여행업<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>
344345일반여행업03_12_03_P3330000CDFI226004201800001020171017<NA>1영업/정상13영업중<NA><NA><NA><NA>051-903-5020<NA><NA>부산광역시 해운대구 재송동 1208-2 센텀스카이비즈부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 3006호 (재송동)48058(주)미스터멘션20201022155740U2020-10-24 02:40:00.0<NA>393503.395721188279.474832일반여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>66.0<NA><NA><NA><NA><NA><NA><NA><NA>1725160192020102320211022<NA>66<NA>
345346일반여행업03_12_03_P3330000CDFI226004201800001120180803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 629-6 105호부산광역시 해운대구 해운대로570번길 46, 지하1층 105호 (우동)48093(주)퍼시픽인터내셔널20200729125657U2020-07-31 02:40:00.0<NA>397159.99915186843.668266일반여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020080320210802<NA><NA><NA>
346347일반여행업03_12_03_P3330000CDFI226004202000000420200429<NA>1영업/정상13영업중<NA><NA><NA><NA>051-782-0193<NA><NA>부산광역시 해운대구 반여동 1445-3번지부산광역시 해운대구 선수촌로 74-17 (반여동)48037주식회사 코렘투어20200429112820I2020-05-01 00:23:32.0<NA>393010.952173191080.975011일반여행업<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>
347348일반여행업03_12_03_P3330000CDFI226004202000000820200709<NA>1영업/정상13영업중<NA><NA><NA><NA>051-463-9100<NA><NA>부산광역시 해운대구 우동 1458 인텔리움센텀 406호부산광역시 해운대구 센텀6로 21, 인텔리움센텀 406호 (우동)48059(주)보배여행사20200728143339U2020-07-30 02:40:00.0<NA>393901.992103188122.938094일반여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020071020210709<NA><NA><NA>
348349일반여행업03_12_03_P3330000CDFI226004202000000720200709<NA>1영업/정상13영업중<NA><NA><NA><NA>051-552-7978<NA><NA>부산광역시 해운대구 재송동 1216 벽산이센텀클래스원 1001호부산광역시 해운대구 센텀동로 99, 벽산이센텀클래스원 1001호 (재송동)48059(주)포유커뮤니케이션즈20200710142511I2020-07-12 00:23:16.0<NA>393607.260374188408.076688일반여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020070920210708<NA><NA><NA>
349350일반여행업03_12_03_P3330000CDFI226004201800001220150716<NA>1영업/정상13영업중<NA><NA><NA><NA>914-5000<NA><NA>부산광역시 해운대구 우동 1454 벽산이센텀클래스원2차부산광역시 해운대구 센텀동로 71, 벽산이센텀클래스원2차 607호 (우동)48059(주)한세투어20200813172823U2020-08-15 02:40:00.0<NA>393790.344709188235.889521일반여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>Hansei Tour. IncGeneral Travel Business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002019082020200819<NA><NA><NA>
350351일반여행업03_12_03_P3330000CDFI226004202000000520180523<NA>1영업/정상13영업중<NA><NA><NA><NA>051-553-1133<NA><NA>부산광역시 해운대구 재송동 1209 센텀아이에스타워 803호부산광역시 해운대구 센텀북대로 60, 센텀아이에스타워 803호 (재송동)48059(주)신라투어20200709135151I2020-07-10 00:23:16.0<NA>393527.757338188440.756377일반여행업<NA>일반상업지역6<NA><NA>한국관광협회중앙회 여행공제회<NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6000000002020052820210528<NA><NA><NA>
351352일반여행업03_12_03_P3330000CDFI226004202000000620100722<NA>1영업/정상13영업중<NA><NA><NA><NA>051-989-1133<NA><NA>부산광역시 해운대구 재송동 1209 센텀아이에스타워 803호부산광역시 해운대구 센텀북대로 60, 센텀아이에스타워 803호 (재송동)48059(주)신라투어고속20210118174619U2021-01-20 02:40:00.0<NA>393527.757338188440.756377일반여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002019081720200817<NA><NA><NA>
352353일반여행업03_12_03_P3330000CDFI226004202100000120210120<NA>1영업/정상13영업중<NA><NA><NA><NA>051-513-7772<NA><NA>부산광역시 해운대구 재송동 1216 벽산이센텀클래스원부산광역시 해운대구 센텀동로 99, 벽산이센텀클래스원 1014호 (재송동)48059(주)루덴스20210120104006I2021-01-22 00:23:04.0<NA>393607.260374188408.076688일반여행업<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>