Overview

Dataset statistics

Number of variables64
Number of observations357
Missing cells10519
Missing cells (%)46.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory194.7 KiB
Average record size in memory558.4 B

Variable types

Numeric17
Categorical18
Text6
Unsupported22
DateTime1

Dataset

Description2021-05-01
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 (65.2%)Imbalance
주변환경명 is highly imbalanced (74.9%)Imbalance
건물용도명 is highly imbalanced (69.8%)Imbalance
지하층수 is highly imbalanced (82.4%)Imbalance
영문상호주소 is highly imbalanced (80.0%)Imbalance
기획여행보험시작일자 is highly imbalanced (95.2%)Imbalance
기획여행보험종료일자 is highly imbalanced (95.2%)Imbalance
인허가취소일자 has 348 (97.5%) missing valuesMissing
폐업일자 has 267 (74.8%) missing valuesMissing
재개업일자 has 357 (100.0%) missing valuesMissing
소재지전화 has 101 (28.3%) missing valuesMissing
소재지면적 has 357 (100.0%) missing valuesMissing
소재지우편번호 has 291 (81.5%) missing valuesMissing
도로명우편번호 has 14 (3.9%) missing valuesMissing
업태구분명 has 357 (100.0%) missing valuesMissing
문화사업자구분명 has 357 (100.0%) missing valuesMissing
총층수 has 314 (88.0%) missing valuesMissing
제작취급품목내용 has 357 (100.0%) missing valuesMissing
지상층수 has 309 (86.6%) missing valuesMissing
객실수 has 357 (100.0%) missing valuesMissing
건축연면적 has 357 (100.0%) missing valuesMissing
영문상호명 has 321 (89.9%) missing valuesMissing
선박총톤수 has 357 (100.0%) missing valuesMissing
선박척수 has 357 (100.0%) missing valuesMissing
선박제원 has 357 (100.0%) missing valuesMissing
무대면적 has 357 (100.0%) missing valuesMissing
좌석수 has 357 (100.0%) missing valuesMissing
기념품종류 has 357 (100.0%) missing valuesMissing
회의실별동시수용인원 has 357 (100.0%) missing valuesMissing
시설면적 has 271 (75.9%) missing valuesMissing
놀이기구수내역 has 357 (100.0%) missing valuesMissing
놀이시설수 has 357 (100.0%) missing valuesMissing
방송시설유무 has 357 (100.0%) missing valuesMissing
발전시설유무 has 357 (100.0%) missing valuesMissing
의무실유무 has 357 (100.0%) missing valuesMissing
안내소유무 has 357 (100.0%) missing valuesMissing
자본금 has 85 (23.8%) missing valuesMissing
보험시작일자 has 36 (10.1%) missing valuesMissing
보험종료일자 has 36 (10.1%) missing valuesMissing
부대시설내역 has 357 (100.0%) missing valuesMissing
시설규모 has 271 (75.9%) missing valuesMissing
Unnamed: 63 has 357 (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 22:20:15.436578
Analysis finished2024-04-17 22:20:16.243216
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179
Minimum1
Maximum357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:16.297515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.8
Q190
median179
Q3268
95-th percentile339.2
Maximum357
Range356
Interquartile range (IQR)178

Descriptive statistics

Standard deviation103.20126
Coefficient of variation (CV)0.57654335
Kurtosis-1.2
Mean179
Median Absolute Deviation (MAD)89
Skewness0
Sum63903
Variance10650.5
MonotonicityStrictly increasing
2024-04-18T07:20:16.403188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
225 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
Other values (347) 347
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 (%)
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반여행업
357 

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 357
100.0%

Length

2024-04-18T07:20:16.507720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:16.586451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 357
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
03_12_03_P
357 

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 357
100.0%

Length

2024-04-18T07:20:16.668928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:16.750354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 357
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3309159.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:16.827242image/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 deviation41723.673
Coefficient of variation (CV)0.01260854
Kurtosis-0.82301418
Mean3309159.7
Median Absolute Deviation (MAD)30000
Skewness0.39421636
Sum1.18137 × 109
Variance1.7408649 × 109
MonotonicityNot monotonic
2024-04-18T07:20:16.929192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 74
20.7%
3290000 59
16.5%
3270000 52
14.6%
3250000 41
11.5%
3310000 21
 
5.9%
3380000 19
 
5.3%
3370000 18
 
5.0%
3300000 16
 
4.5%
3390000 12
 
3.4%
3280000 10
 
2.8%
Other values (6) 35
9.8%
ValueCountFrequency (%)
3250000 41
11.5%
3260000 6
 
1.7%
3270000 52
14.6%
3280000 10
 
2.8%
3290000 59
16.5%
3300000 16
 
4.5%
3310000 21
 
5.9%
3320000 2
 
0.6%
3330000 74
20.7%
3340000 8
 
2.2%
ValueCountFrequency (%)
3400000 5
 
1.4%
3390000 12
 
3.4%
3380000 19
 
5.3%
3370000 18
 
5.0%
3360000 6
 
1.7%
3350000 8
 
2.2%
3340000 8
 
2.2%
3330000 74
20.7%
3320000 2
 
0.6%
3310000 21
 
5.9%
Distinct110
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:20:17.129771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7140
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

Unique38 ?
Unique (%)10.6%

Sample

1st rowCDFI2260042014000003
2nd rowCDFI2260042017000006
3rd rowCDFI2260042004000001
4th rowCDFI2260042018000003
5th rowCDFI2260042018000010
ValueCountFrequency (%)
cdfi2260042019000001 13
 
3.6%
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
 
2.2%
cdfi2260042015000002 8
 
2.2%
cdfi2260042016000002 8
 
2.2%
Other values (100) 256
71.7%
2024-04-18T07:20:17.442291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2905
40.7%
2 1211
17.0%
1 440
 
6.2%
6 415
 
5.8%
4 404
 
5.7%
C 357
 
5.0%
D 357
 
5.0%
F 357
 
5.0%
I 357
 
5.0%
8 73
 
1.0%
Other values (4) 264
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5712
80.0%
Uppercase Letter 1428
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2905
50.9%
2 1211
21.2%
1 440
 
7.7%
6 415
 
7.3%
4 404
 
7.1%
8 73
 
1.3%
9 72
 
1.3%
7 71
 
1.2%
3 62
 
1.1%
5 59
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 357
25.0%
D 357
25.0%
F 357
25.0%
I 357
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5712
80.0%
Latin 1428
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2905
50.9%
2 1211
21.2%
1 440
 
7.7%
6 415
 
7.3%
4 404
 
7.1%
8 73
 
1.3%
9 72
 
1.3%
7 71
 
1.2%
3 62
 
1.1%
5 59
 
1.0%
Latin
ValueCountFrequency (%)
C 357
25.0%
D 357
25.0%
F 357
25.0%
I 357
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2905
40.7%
2 1211
17.0%
1 440
 
6.2%
6 415
 
5.8%
4 404
 
5.7%
C 357
 
5.0%
D 357
 
5.0%
F 357
 
5.0%
I 357
 
5.0%
8 73
 
1.0%
Other values (4) 264
 
3.7%

인허가일자
Real number (ℝ)

Distinct327
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151929
Minimum19900523
Maximum20210324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:17.583677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900523
5-th percentile20060804
Q120140218
median20161215
Q320180628
95-th percentile20200645
Maximum20210324
Range309801
Interquartile range (IQR)40410

Descriptive statistics

Standard deviation47739.918
Coefficient of variation (CV)0.0023689999
Kurtosis6.2694466
Mean20151929
Median Absolute Deviation (MAD)19905
Skewness-2.1825381
Sum7.1942386 × 109
Variance2.2790998 × 109
MonotonicityNot monotonic
2024-04-18T07:20:17.708042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180622 3
 
0.8%
20190312 3
 
0.8%
20150211 3
 
0.8%
20200709 3
 
0.8%
20160519 2
 
0.6%
20200206 2
 
0.6%
20170419 2
 
0.6%
20180625 2
 
0.6%
20180130 2
 
0.6%
20180628 2
 
0.6%
Other values (317) 333
93.3%
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 (%)
20210324 1
0.3%
20210315 1
0.3%
20210222 1
0.3%
20210203 1
0.3%
20210120 1
0.3%
20201217 1
0.3%
20201016 1
0.3%
20201012 1
0.3%
20201007 1
0.3%
20200813 1
0.3%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing348
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean20165105
Minimum20100305
Maximum20200723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:17.827046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100305
5-th percentile20108467
Q120160129
median20160609
Q320191230
95-th percentile20200643
Maximum20200723
Range100418
Interquartile range (IQR)31101

Descriptive statistics

Standard deviation35571.867
Coefficient of variation (CV)0.0017640308
Kurtosis-0.28346879
Mean20165105
Median Absolute Deviation (MAD)30621
Skewness-0.83801441
Sum1.8148595 × 108
Variance1.2653577 × 109
MonotonicityNot monotonic
2024-04-18T07:20:17.929114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20160609 1
 
0.3%
20191230 1
 
0.3%
20160516 1
 
0.3%
20191206 1
 
0.3%
20200723 1
 
0.3%
20120709 1
 
0.3%
20200522 1
 
0.3%
20100305 1
 
0.3%
20160129 1
 
0.3%
(Missing) 348
97.5%
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%
20200723 1
0.3%
ValueCountFrequency (%)
20200723 1
0.3%
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
255 
3
90 
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 (%)
1 255
71.4%
3 90
 
25.2%
4 9
 
2.5%
2 3
 
0.8%

Length

2024-04-18T07:20:18.043721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:18.161549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 255
71.4%
3 90
 
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
255 
폐업
90 
취소/말소/만료/정지/중지
 
9
휴업
 
3

Length

Max length14
Median length5
Mean length4.4453782
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 255
71.4%
폐업 90
 
25.2%
취소/말소/만료/정지/중지 9
 
2.5%
휴업 3
 
0.8%

Length

2024-04-18T07:20:18.287316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:18.424264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 255
71.4%
폐업 90
 
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
255 
3
90 
31
 
9
2
 
3

Length

Max length2
Median length2
Mean length1.7394958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 255
71.4%
3 90
 
25.2%
31 9
 
2.5%
2 3
 
0.8%

Length

2024-04-18T07:20:18.543522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:18.643681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 255
71.4%
3 90
 
25.2%
31 9
 
2.5%
2 3
 
0.8%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업중
255 
폐업
90 
등록취소
 
9
휴업
 
3

Length

Max length4
Median length3
Mean length2.7647059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 255
71.4%
폐업 90
 
25.2%
등록취소 9
 
2.5%
휴업 3
 
0.8%

Length

2024-04-18T07:20:18.741678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:18.835906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 255
71.4%
폐업 90
 
25.2%
등록취소 9
 
2.5%
휴업 3
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)96.7%
Missing267
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean20169770
Minimum20110425
Maximum20210227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:18.938393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110425
5-th percentile20120449
Q120151019
median20171161
Q320190625
95-th percentile20200686
Maximum20210227
Range99802
Interquartile range (IQR)39606.5

Descriptive statistics

Standard deviation25027.615
Coefficient of variation (CV)0.0012408479
Kurtosis-0.17374571
Mean20169770
Median Absolute Deviation (MAD)19656.5
Skewness-0.7310965
Sum1.8152793 × 109
Variance6.2638153 × 108
MonotonicityNot monotonic
2024-04-18T07:20:19.049827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200413 2
 
0.6%
20170406 2
 
0.6%
20200630 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 (77) 77
 
21.6%
(Missing) 267
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 (%)
20210227 1
0.3%
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%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
354 
20201214
 
1
20210219
 
1
20200705
 
1

Length

Max length8
Median length4
Mean length4.0336134
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> 354
99.2%
20201214 1
 
0.3%
20210219 1
 
0.3%
20200705 1
 
0.3%

Length

2024-04-18T07:20:19.173046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:19.266350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 354
99.2%
20201214 1
 
0.3%
20210219 1
 
0.3%
20200705 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
354 
20211213
 
1
20220217
 
1
20210630
 
1

Length

Max length8
Median length4
Mean length4.0336134
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> 354
99.2%
20211213 1
 
0.3%
20220217 1
 
0.3%
20210630 1
 
0.3%

Length

2024-04-18T07:20:19.370145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:19.465018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 354
99.2%
20211213 1
 
0.3%
20220217 1
 
0.3%
20210630 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

소재지전화
Text

MISSING 

Distinct253
Distinct (%)98.8%
Missing101
Missing (%)28.3%
Memory size2.9 KiB
2024-04-18T07:20:20.091646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.242188
Min length7

Characters and Unicode

Total characters2878
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

Unique250 ?
Unique (%)97.7%

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%
051-466-5557 2
 
0.7%
051-442-1182 1
 
0.4%
051-514-8836 1
 
0.4%
051-469-7030 1
 
0.4%
051-467-3200 1
 
0.4%
051-636-0909 1
 
0.4%
Other values (254) 254
92.0%
2024-04-18T07:20:20.407376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 473
16.4%
- 394
13.7%
5 392
13.6%
1 387
13.4%
7 222
7.7%
8 196
6.8%
6 190
6.6%
4 177
 
6.2%
2 154
 
5.4%
3 145
 
5.0%
Other values (3) 148
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2462
85.5%
Dash Punctuation 394
 
13.7%
Space Separator 20
 
0.7%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 473
19.2%
5 392
15.9%
1 387
15.7%
7 222
9.0%
8 196
8.0%
6 190
7.7%
4 177
 
7.2%
2 154
 
6.3%
3 145
 
5.9%
9 126
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2878
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 473
16.4%
- 394
13.7%
5 392
13.6%
1 387
13.4%
7 222
7.7%
8 196
6.8%
6 190
6.6%
4 177
 
6.2%
2 154
 
5.4%
3 145
 
5.0%
Other values (3) 148
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2878
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 473
16.4%
- 394
13.7%
5 392
13.6%
1 387
13.4%
7 222
7.7%
8 196
6.8%
6 190
6.6%
4 177
 
6.2%
2 154
 
5.4%
3 145
 
5.0%
Other values (3) 148
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)80.3%
Missing291
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean608889.29
Minimum600012
Maximum617814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:20.521419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile600014
Q1601839
median611930
Q3613056
95-th percentile614852.25
Maximum617814
Range17802
Interquartile range (IQR)11217

Descriptive statistics

Standard deviation5760.8615
Coefficient of variation (CV)0.0094612626
Kurtosis-1.3490469
Mean608889.29
Median Absolute Deviation (MAD)2915
Skewness-0.48942955
Sum40186693
Variance33187525
MonotonicityNot monotonic
2024-04-18T07:20:20.633441image/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%
601839 2
 
0.6%
614021 2
 
0.6%
601807 2
 
0.6%
612824 2
 
0.6%
613832 2
 
0.6%
601837 2
 
0.6%
612032 1
 
0.3%
Other values (43) 43
 
12.0%
(Missing) 291
81.5%
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%
601807 2
0.6%
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%
Distinct334
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:20:20.923614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length26.005602
Min length13

Characters and Unicode

Total characters9284
Distinct characters283
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

Unique318 ?
Unique (%)89.1%

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 357
 
20.2%
해운대구 74
 
4.2%
부산진구 59
 
3.3%
동구 52
 
2.9%
중구 41
 
2.3%
초량동 38
 
2.1%
우동 38
 
2.1%
부전동 24
 
1.4%
남구 21
 
1.2%
재송동 20
 
1.1%
Other values (641) 1047
59.1%
2024-04-18T07:20:21.352468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1414
 
15.2%
1 468
 
5.0%
465
 
5.0%
461
 
5.0%
459
 
4.9%
373
 
4.0%
370
 
4.0%
363
 
3.9%
357
 
3.8%
- 280
 
3.0%
Other values (273) 4274
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5475
59.0%
Decimal Number 1958
 
21.1%
Space Separator 1414
 
15.2%
Dash Punctuation 280
 
3.0%
Lowercase Letter 92
 
1.0%
Uppercase Letter 55
 
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 (%)
465
 
8.5%
461
 
8.4%
459
 
8.4%
373
 
6.8%
370
 
6.8%
363
 
6.6%
357
 
6.5%
189
 
3.5%
182
 
3.3%
119
 
2.2%
Other values (229) 2137
39.0%
Uppercase Letter
ValueCountFrequency (%)
S 16
29.1%
C 8
14.5%
T 7
12.7%
K 5
 
9.1%
B 5
 
9.1%
A 2
 
3.6%
H 2
 
3.6%
E 2
 
3.6%
W 2
 
3.6%
I 1
 
1.8%
Other values (5) 5
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
21.7%
o 12
13.0%
a 8
 
8.7%
l 7
 
7.6%
p 6
 
6.5%
i 6
 
6.5%
n 6
 
6.5%
d 6
 
6.5%
w 6
 
6.5%
x 6
 
6.5%
Other values (4) 9
9.8%
Decimal Number
ValueCountFrequency (%)
1 468
23.9%
2 256
13.1%
0 213
10.9%
3 204
10.4%
4 197
10.1%
5 153
 
7.8%
8 136
 
6.9%
7 116
 
5.9%
6 116
 
5.9%
9 99
 
5.1%
Space Separator
ValueCountFrequency (%)
1414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
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 5475
59.0%
Common 3662
39.4%
Latin 147
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
465
 
8.5%
461
 
8.4%
459
 
8.4%
373
 
6.8%
370
 
6.8%
363
 
6.6%
357
 
6.5%
189
 
3.5%
182
 
3.3%
119
 
2.2%
Other values (229) 2137
39.0%
Latin
ValueCountFrequency (%)
e 20
 
13.6%
S 16
 
10.9%
o 12
 
8.2%
a 8
 
5.4%
C 8
 
5.4%
l 7
 
4.8%
T 7
 
4.8%
p 6
 
4.1%
i 6
 
4.1%
n 6
 
4.1%
Other values (19) 51
34.7%
Common
ValueCountFrequency (%)
1414
38.6%
1 468
 
12.8%
- 280
 
7.6%
2 256
 
7.0%
0 213
 
5.8%
3 204
 
5.6%
4 197
 
5.4%
5 153
 
4.2%
8 136
 
3.7%
7 116
 
3.2%
Other values (5) 225
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5475
59.0%
ASCII 3809
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1414
37.1%
1 468
 
12.3%
- 280
 
7.4%
2 256
 
6.7%
0 213
 
5.6%
3 204
 
5.4%
4 197
 
5.2%
5 153
 
4.0%
8 136
 
3.6%
7 116
 
3.0%
Other values (34) 372
 
9.8%
Hangul
ValueCountFrequency (%)
465
 
8.5%
461
 
8.4%
459
 
8.4%
373
 
6.8%
370
 
6.8%
363
 
6.6%
357
 
6.5%
189
 
3.5%
182
 
3.3%
119
 
2.2%
Other values (229) 2137
39.0%
Distinct351
Distinct (%)98.6%
Missing1
Missing (%)0.3%
Memory size2.9 KiB
2024-04-18T07:20:21.645538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length35.550562
Min length21

Characters and Unicode

Total characters12656
Distinct characters325
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

Unique346 ?
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 356
 
14.8%
해운대구 74
 
3.1%
부산진구 59
 
2.5%
동구 52
 
2.2%
중앙대로 44
 
1.8%
중구 41
 
1.7%
우동 38
 
1.6%
초량동 36
 
1.5%
3층 29
 
1.2%
2층 25
 
1.0%
Other values (830) 1644
68.6%
2024-04-18T07:20:22.053075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2051
 
16.2%
514
 
4.1%
466
 
3.7%
465
 
3.7%
1 424
 
3.4%
, 417
 
3.3%
387
 
3.1%
383
 
3.0%
360
 
2.8%
360
 
2.8%
Other values (315) 6829
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7162
56.6%
Decimal Number 2083
 
16.5%
Space Separator 2051
 
16.2%
Other Punctuation 418
 
3.3%
Close Punctuation 358
 
2.8%
Open Punctuation 358
 
2.8%
Lowercase Letter 92
 
0.7%
Uppercase Letter 82
 
0.6%
Dash Punctuation 51
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
514
 
7.2%
466
 
6.5%
465
 
6.5%
387
 
5.4%
383
 
5.3%
360
 
5.0%
360
 
5.0%
353
 
4.9%
266
 
3.7%
224
 
3.1%
Other values (266) 3384
47.2%
Uppercase Letter
ValueCountFrequency (%)
S 17
20.7%
C 13
15.9%
A 9
11.0%
E 7
8.5%
T 7
8.5%
B 7
8.5%
P 5
 
6.1%
K 5
 
6.1%
W 3
 
3.7%
V 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%
d 6
 
6.5%
n 6
 
6.5%
m 6
 
6.5%
p 6
 
6.5%
i 6
 
6.5%
x 6
 
6.5%
Other values (4) 9
9.8%
Decimal Number
ValueCountFrequency (%)
1 424
20.4%
2 318
15.3%
0 290
13.9%
3 253
12.1%
4 197
9.5%
7 143
 
6.9%
5 132
 
6.3%
6 120
 
5.8%
9 114
 
5.5%
8 92
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 417
99.8%
* 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 357
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 357
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2051
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7162
56.6%
Common 5320
42.0%
Latin 174
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
514
 
7.2%
466
 
6.5%
465
 
6.5%
387
 
5.4%
383
 
5.3%
360
 
5.0%
360
 
5.0%
353
 
4.9%
266
 
3.7%
224
 
3.1%
Other values (266) 3384
47.2%
Latin
ValueCountFrequency (%)
e 20
 
11.5%
S 17
 
9.8%
C 13
 
7.5%
o 12
 
6.9%
A 9
 
5.2%
a 8
 
4.6%
E 7
 
4.0%
T 7
 
4.0%
B 7
 
4.0%
l 7
 
4.0%
Other values (20) 67
38.5%
Common
ValueCountFrequency (%)
2051
38.6%
1 424
 
8.0%
, 417
 
7.8%
) 357
 
6.7%
( 357
 
6.7%
2 318
 
6.0%
0 290
 
5.5%
3 253
 
4.8%
4 197
 
3.7%
7 143
 
2.7%
Other values (9) 513
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7162
56.6%
ASCII 5494
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2051
37.3%
1 424
 
7.7%
, 417
 
7.6%
) 357
 
6.5%
( 357
 
6.5%
2 318
 
5.8%
0 290
 
5.3%
3 253
 
4.6%
4 197
 
3.6%
7 143
 
2.6%
Other values (39) 687
 
12.5%
Hangul
ValueCountFrequency (%)
514
 
7.2%
466
 
6.5%
465
 
6.5%
387
 
5.4%
383
 
5.3%
360
 
5.0%
360
 
5.0%
353
 
4.9%
266
 
3.7%
224
 
3.1%
Other values (266) 3384
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct208
Distinct (%)60.6%
Missing14
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean77584.676
Minimum46019
Maximum617814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:22.167280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46019
5-th percentile46941.4
Q147524.5
median48111
Q348820.5
95-th percentile544964.5
Maximum617814
Range571795
Interquartile range (IQR)1296

Descriptive statistics

Standard deviation125491.41
Coefficient of variation (CV)1.6174768
Kurtosis14.344521
Mean77584.676
Median Absolute Deviation (MAD)707
Skewness4.0320898
Sum26611544
Variance1.5748094 × 1010
MonotonicityNot monotonic
2024-04-18T07:20:22.279055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 21
 
5.9%
48058 8
 
2.2%
47257 8
 
2.2%
48060 7
 
2.0%
48821 6
 
1.7%
49037 6
 
1.7%
48930 6
 
1.7%
48119 5
 
1.4%
48818 5
 
1.4%
48957 5
 
1.4%
Other values (198) 266
74.5%
(Missing) 14
 
3.9%
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%
46293 1
0.3%
46335 1
0.3%
46548 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 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:20:22.494968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length8.9887955
Min length3

Characters and Unicode

Total characters3209
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

Unique357 ?
Unique (%)100.0%

Sample

1st row진투어
2nd row(주)팝콘투어네트웍스
3rd row(주)우리투어
4th row(주)세진월드
5th row하나가오 여행사
ValueCountFrequency (%)
주식회사 60
 
12.4%
tour 7
 
1.5%
투어 5
 
1.0%
여행사 4
 
0.8%
코리아 3
 
0.6%
co 2
 
0.4%
2
 
0.4%
cm투어 2
 
0.4%
부산 2
 
0.4%
ltd 2
 
0.4%
Other values (389) 393
81.5%
2024-04-18T07:20:22.814087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
8.7%
) 232
 
7.2%
( 232
 
7.2%
125
 
3.9%
121
 
3.8%
105
 
3.3%
102
 
3.2%
88
 
2.7%
85
 
2.6%
82
 
2.6%
Other values (355) 1758
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2425
75.6%
Close Punctuation 232
 
7.2%
Open Punctuation 232
 
7.2%
Space Separator 125
 
3.9%
Uppercase Letter 110
 
3.4%
Lowercase Letter 62
 
1.9%
Other Punctuation 11
 
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 (%)
279
 
11.5%
121
 
5.0%
105
 
4.3%
102
 
4.2%
88
 
3.6%
85
 
3.5%
82
 
3.4%
66
 
2.7%
65
 
2.7%
63
 
2.6%
Other values (304) 1369
56.5%
Uppercase Letter
ValueCountFrequency (%)
T 14
 
12.7%
U 8
 
7.3%
A 8
 
7.3%
C 8
 
7.3%
S 7
 
6.4%
O 7
 
6.4%
N 6
 
5.5%
M 6
 
5.5%
R 6
 
5.5%
L 5
 
4.5%
Other values (12) 35
31.8%
Lowercase Letter
ValueCountFrequency (%)
o 12
19.4%
r 11
17.7%
t 8
12.9%
u 7
11.3%
d 4
 
6.5%
e 3
 
4.8%
i 3
 
4.8%
s 2
 
3.2%
m 2
 
3.2%
b 2
 
3.2%
Other values (7) 8
12.9%
Other Punctuation
ValueCountFrequency (%)
& 3
27.3%
. 3
27.3%
, 3
27.3%
' 2
18.2%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
2 1
 
16.7%
0 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 232
100.0%
Open Punctuation
ValueCountFrequency (%)
( 232
100.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2418
75.4%
Common 612
 
19.1%
Latin 172
 
5.4%
Han 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
279
 
11.5%
121
 
5.0%
105
 
4.3%
102
 
4.2%
88
 
3.6%
85
 
3.5%
82
 
3.4%
66
 
2.7%
65
 
2.7%
63
 
2.6%
Other values (297) 1362
56.3%
Latin
ValueCountFrequency (%)
T 14
 
8.1%
o 12
 
7.0%
r 11
 
6.4%
t 8
 
4.7%
U 8
 
4.7%
A 8
 
4.7%
C 8
 
4.7%
S 7
 
4.1%
O 7
 
4.1%
u 7
 
4.1%
Other values (29) 82
47.7%
Common
ValueCountFrequency (%)
) 232
37.9%
( 232
37.9%
125
20.4%
1 4
 
0.7%
- 4
 
0.7%
& 3
 
0.5%
. 3
 
0.5%
, 3
 
0.5%
' 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 2418
75.4%
ASCII 784
 
24.4%
CJK 7
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
279
 
11.5%
121
 
5.0%
105
 
4.3%
102
 
4.2%
88
 
3.6%
85
 
3.5%
82
 
3.4%
66
 
2.7%
65
 
2.7%
63
 
2.6%
Other values (297) 1362
56.3%
ASCII
ValueCountFrequency (%)
) 232
29.6%
( 232
29.6%
125
15.9%
T 14
 
1.8%
o 12
 
1.5%
r 11
 
1.4%
t 8
 
1.0%
U 8
 
1.0%
A 8
 
1.0%
C 8
 
1.0%
Other values (41) 126
16.1%
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 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0191483 × 1013
Minimum2.0101111 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:22.934623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0101111 × 1013
5-th percentile2.01412 × 1013
Q12.0190412 × 1013
median2.0200522 × 1013
Q32.0201123 × 1013
95-th percentile2.0210242 × 1013
Maximum2.0210331 × 1013
Range1.0922001 × 1011
Interquartile range (IQR)1.0710989 × 1010

Descriptive statistics

Standard deviation2.1410672 × 1010
Coefficient of variation (CV)0.0010603813
Kurtosis3.373177
Mean2.0191483 × 1013
Median Absolute Deviation (MAD)9.5999393 × 109
Skewness-1.8524362
Sum7.2083594 × 1015
Variance4.5841686 × 1020
MonotonicityNot monotonic
2024-04-18T07:20:23.069929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160609143658 1
 
0.3%
20210119092007 1
 
0.3%
20210331161103 1
 
0.3%
20210224174931 1
 
0.3%
20210224185034 1
 
0.3%
20191125102145 1
 
0.3%
20210223141321 1
 
0.3%
20210311133434 1
 
0.3%
20170914180013 1
 
0.3%
20210311133710 1
 
0.3%
Other values (347) 347
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 (%)
20210331161103 1
0.3%
20210330160107 1
0.3%
20210326174237 1
0.3%
20210326100315 1
0.3%
20210325153106 1
0.3%
20210322145412 1
0.3%
20210322143916 1
0.3%
20210316162053 1
0.3%
20210316153650 1
0.3%
20210315160013 1
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
U
260 
I
97 

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 260
72.8%
I 97
 
27.2%

Length

2024-04-18T07:20:23.186701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:23.270036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 260
72.8%
i 97
 
27.2%
Distinct190
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-18T07:20:23.380191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:20:23.506865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(x)
Real number (ℝ)

Distinct284
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388927.81
Minimum370683.06
Maximum402047.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:23.626608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370683.06
5-th percentile380993.14
Q1385766.93
median388005.69
Q3392579.4
95-th percentile397160
Maximum402047.51
Range31364.45
Interquartile range (IQR)6812.4646

Descriptive statistics

Standard deviation4590.5612
Coefficient of variation (CV)0.011803119
Kurtosis0.44672126
Mean388927.81
Median Absolute Deviation (MAD)2465.7191
Skewness0.04890629
Sum1.3884723 × 108
Variance21073252
MonotonicityNot monotonic
2024-04-18T07:20:23.738941image/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%
393503.395720953 5
 
1.4%
386767.752701442 5
 
1.4%
393607.260373715 5
 
1.4%
395388.715069604 4
 
1.1%
389510.788094066 3
 
0.8%
393284.046237794 3
 
0.8%
393963.840834294 3
 
0.8%
Other values (274) 310
86.8%
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 2
0.6%
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)

Distinct284
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185490.37
Minimum174149.42
Maximum205969.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:23.847198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174149.42
5-th percentile179301.04
Q1181913.05
median186155.76
Q3188018.69
95-th percentile191809.11
Maximum205969.83
Range31820.411
Interquartile range (IQR)6105.633

Descriptive statistics

Standard deviation4402.0112
Coefficient of variation (CV)0.023731751
Kurtosis2.6094855
Mean185490.37
Median Absolute Deviation (MAD)2341.7711
Skewness0.74086082
Sum66220061
Variance19377703
MonotonicityNot monotonic
2024-04-18T07:20:23.960078image/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%
188279.474831569 5
 
1.4%
181913.054093558 5
 
1.4%
188408.076687691 5
 
1.4%
186268.853282623 4
 
1.1%
189669.571671014 3
 
0.8%
187432.534573096 3
 
0.8%
188061.35516256 3
 
0.8%
Other values (274) 310
86.8%
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 1
0.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반여행업
357 

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 357
100.0%

Length

2024-04-18T07:20:24.064196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:24.141663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 357
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
297 
일반주거지역
 
15
일반상업지역
 
13
상업지역
 
10
준주거지역
 
10
Other values (4)
 
12

Length

Max length6
Median length4
Mean length4.2156863
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> 297
83.2%
일반주거지역 15
 
4.2%
일반상업지역 13
 
3.6%
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

2024-04-18T07:20:24.245162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:24.364312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
83.2%
일반주거지역 15
 
4.2%
일반상업지역 13
 
3.6%
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%
Missing314
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean5.4418605
Minimum0
Maximum36
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:24.480098image/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
2024-04-18T07:20:24.581839image/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) 314
88.0%
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>
323 
기타
 
15
학교정화(상대)
 
8
주택가주변
 
5
아파트지역
 
3

Length

Max length8
Median length4
Mean length4.0616246
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> 323
90.5%
기타 15
 
4.2%
학교정화(상대) 8
 
2.2%
주택가주변 5
 
1.4%
아파트지역 3
 
0.8%
유흥업소밀집지역 3
 
0.8%

Length

2024-04-18T07:20:24.703156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:24.802676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
90.5%
기타 15
 
4.2%
학교정화(상대 8
 
2.2%
주택가주변 5
 
1.4%
아파트지역 3
 
0.8%
유흥업소밀집지역 3
 
0.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

보험기관명
Categorical

Distinct21
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
서울보증보험주식회사
117 
서울보증보험
81 
<NA>
50 
한국관광협회중앙회
27 
한국관광협회중앙회 여행공제회
24 
Other values (16)
58 

Length

Max length18
Median length15
Mean length8.3361345
Min length4

Unique

Unique8 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
서울보증보험주식회사 117
32.8%
서울보증보험 81
22.7%
<NA> 50
14.0%
한국관광협회중앙회 27
 
7.6%
한국관광협회중앙회 여행공제회 24
 
6.7%
한국관광협회 23
 
6.4%
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

2024-04-18T07:20:24.920647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울보증보험주식회사 117
30.0%
서울보증보험 83
21.3%
한국관광협회중앙회 56
14.4%
na 50
12.8%
여행공제회 24
 
6.2%
한국관광협회 24
 
6.2%
서울보증보험(주 6
 
1.5%
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>
292 
근린생활시설
37 
사무실
 
19
기타
 
3
아파트
 
1
Other values (5)
 
5

Length

Max length12
Median length4
Mean length4.1708683
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> 292
81.8%
근린생활시설 37
 
10.4%
사무실 19
 
5.3%
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

2024-04-18T07:20:25.051624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:25.161304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
81.8%
근린생활시설 37
 
10.4%
사무실 19
 
5.3%
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%
Missing309
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean4.7291667
Minimum0
Maximum32
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:25.265937image/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
2024-04-18T07:20:25.357520image/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) 309
86.6%
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>
335 
1
 
8
0
 
7
2
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.8151261
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> 335
93.8%
1 8
 
2.2%
0 7
 
2.0%
2 5
 
1.4%
3 1
 
0.3%
5 1
 
0.3%

Length

2024-04-18T07:20:25.485038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:25.585825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 335
93.8%
1 8
 
2.2%
0 7
 
2.0%
2 5
 
1.4%
3 1
 
0.3%
5 1
 
0.3%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

영문상호명
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing321
Missing (%)89.9%
Memory size2.9 KiB
2024-04-18T07:20:25.780628image/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%
2024-04-18T07:20:26.088560image/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 (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
321 
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 length5.8935574
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> 321
89.9%
General travel business 14
 
3.9%
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

2024-04-18T07:20:26.203327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 321
74.5%
general 35
 
8.1%
travel 35
 
8.1%
business 26
 
6.0%
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 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)91.9%
Missing271
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean132.50116
Minimum0
Maximum1988.63
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:26.302321image/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
2024-04-18T07:20:26.432628image/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%
66.0 2
 
0.6%
1988.63 2
 
0.6%
35.58 2
 
0.6%
207.0 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
 
19.3%
(Missing) 271
75.9%
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 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
353 
20170804
 
1
20200528
 
1
20200401
 
1
20190106
 
1

Length

Max length8
Median length4
Mean length4.0448179
Min length4

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 353
98.9%
20170804 1
 
0.3%
20200528 1
 
0.3%
20200401 1
 
0.3%
20190106 1
 
0.3%

Length

2024-04-18T07:20:26.569405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:26.667174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 353
98.9%
20170804 1
 
0.3%
20200528 1
 
0.3%
20200401 1
 
0.3%
20190106 1
 
0.3%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
353 
20180803
 
1
20210527
 
1
20210331
 
1
20200105
 
1

Length

Max length8
Median length4
Mean length4.0448179
Min length4

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 353
98.9%
20180803 1
 
0.3%
20210527 1
 
0.3%
20210331 1
 
0.3%
20200105 1
 
0.3%

Length

2024-04-18T07:20:26.768372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:26.863071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 353
98.9%
20180803 1
 
0.3%
20210527 1
 
0.3%
20210331 1
 
0.3%
20200105 1
 
0.3%

자본금
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)31.2%
Missing85
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean9.8342377 × 108
Minimum6
Maximum2 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:26.964004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile1 × 108
Q11 × 108
median1.667601 × 108
Q32.0012461 × 108
95-th percentile4.42768 × 108
Maximum2 × 1011
Range2 × 1011
Interquartile range (IQR)1.0012461 × 108

Descriptive statistics

Standard deviation1.2124802 × 1010
Coefficient of variation (CV)12.329173
Kurtosis270.81167
Mean9.8342377 × 108
Median Absolute Deviation (MAD)66760103
Skewness16.439444
Sum2.6749127 × 1011
Variance1.4701081 × 1020
MonotonicityNot monotonic
2024-04-18T07:20:27.087106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 88
24.6%
200000000 64
17.9%
350000000 20
 
5.6%
300000000 7
 
2.0%
150000000 7
 
2.0%
210000000 3
 
0.8%
2000000000 2
 
0.6%
50000000 2
 
0.6%
500000000 2
 
0.6%
110000000 2
 
0.6%
Other values (75) 75
21.0%
(Missing) 85
23.8%
ValueCountFrequency (%)
6 1
 
0.3%
50000000 2
 
0.6%
100000000 88
24.6%
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 

Distinct278
Distinct (%)86.6%
Missing36
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean20187284
Minimum20090407
Maximum20210329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:27.211487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090407
5-th percentile20140409
Q120180725
median20200128
Q320200805
95-th percentile20210121
Maximum20210329
Range119922
Interquartile range (IQR)20080

Descriptive statistics

Standard deviation21865.409
Coefficient of variation (CV)0.0010831278
Kurtosis2.8710834
Mean20187284
Median Absolute Deviation (MAD)9105
Skewness-1.7482512
Sum6.4801182 × 109
Variance4.7809611 × 108
MonotonicityNot monotonic
2024-04-18T07:20:27.321563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200201 3
 
0.8%
20201201 3
 
0.8%
20201001 3
 
0.8%
20200709 3
 
0.8%
20191101 3
 
0.8%
20200801 2
 
0.6%
20200822 2
 
0.6%
20180401 2
 
0.6%
20190401 2
 
0.6%
20200704 2
 
0.6%
Other values (268) 296
82.9%
(Missing) 36
 
10.1%
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 (%)
20210329 1
0.3%
20210328 1
0.3%
20210326 1
0.3%
20210319 1
0.3%
20210318 1
0.3%
20210315 1
0.3%
20210306 1
0.3%
20210228 1
0.3%
20210224 1
0.3%
20210216 1
0.3%

보험종료일자
Real number (ℝ)

MISSING 

Distinct279
Distinct (%)86.9%
Missing36
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean20203462
Minimum20100407
Maximum21210824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:27.432433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100407
5-th percentile20150409
Q120190724
median20210131
Q320210812
95-th percentile20220131
Maximum21210824
Range1110417
Interquartile range (IQR)20088

Descriptive statistics

Standard deviation82802.159
Coefficient of variation (CV)0.0040984144
Kurtosis136.48746
Mean20203462
Median Absolute Deviation (MAD)9121
Skewness11.274593
Sum6.4853112 × 109
Variance6.8561975 × 109
MonotonicityNot monotonic
2024-04-18T07:20:27.558606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211130 4
 
1.1%
20210131 3
 
0.8%
20210708 3
 
0.8%
20201031 3
 
0.8%
20210716 2
 
0.6%
20210804 2
 
0.6%
20171229 2
 
0.6%
20210731 2
 
0.6%
20210331 2
 
0.6%
20210702 2
 
0.6%
Other values (269) 296
82.9%
(Missing) 36
 
10.1%
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%
20220329 1
0.3%
20220328 1
0.3%
20220325 1
0.3%
20220318 1
0.3%
20220317 1
0.3%
20220314 1
0.3%
20220306 1
0.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing357
Missing (%)100.0%
Memory size3.3 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)75.6%
Missing271
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean132.48837
Minimum0
Maximum1989
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-18T07:20:27.683352image/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
2024-04-18T07:20:27.808298image/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%
40 2
 
0.6%
28 2
 
0.6%
49 2
 
0.6%
30 2
 
0.6%
66 2
 
0.6%
182 2
 
0.6%
Other values (55) 60
 
16.8%
(Missing) 271
75.9%
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 

Missing357
Missing (%)100.0%
Memory size3.3 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_P3270000CDFI226004201800001020181113202007234취소/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 여행사20210208175259U2021-02-10 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
347348일반여행업03_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)48093랑스 주식회사20210312155511U2021-03-14 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>
348349일반여행업03_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>
349350일반여행업03_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>
350351일반여행업03_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>
351352일반여행업03_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>
352353일반여행업03_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>
353354일반여행업03_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>
354355일반여행업03_12_03_P3330000CDFI226004202100000320210222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1407 해운대두산위브더제니스 104동 837호부산광역시 해운대구 마린시티2로 33, 104동 837호 (우동, 해운대두산위브더제니스)48119아이엔지인터내셔널 주식회사20210222171900I2021-02-24 00:23:01.0<NA>395388.71507186268.853283일반여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
355356일반여행업03_12_03_P3330000CDFI226004202100000220210203<NA>1영업/정상13영업중<NA><NA><NA><NA>051-731-4951<NA><NA>부산광역시 해운대구 우동 1466-1 부산문화콘텐츠컴플렉스 611호부산광역시 해운대구 수영강변대로 140, 부산문화콘텐츠컴플렉스 611호 (우동)48058여행아이큐20210209102054U2021-02-11 02:40:00.0<NA>393573.517297188018.687138일반여행업<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>2021020320220202<NA><NA><NA>
356357일반여행업03_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>