Overview

Dataset statistics

Number of variables64
Number of observations352
Missing cells10367
Missing cells (%)46.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory191.9 KiB
Average record size in memory558.4 B

Variable types

Numeric17
Categorical18
Text6
Unsupported22
DateTime1

Dataset

Description2021-02-01
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 (95.2%)Imbalance
휴업종료일자 is highly imbalanced (95.2%)Imbalance
지역구분명 is highly imbalanced (64.8%)Imbalance
주변환경명 is highly imbalanced (74.7%)Imbalance
건물용도명 is highly imbalanced (69.5%)Imbalance
지하층수 is highly imbalanced (82.2%)Imbalance
영문상호주소 is highly imbalanced (79.8%)Imbalance
기획여행보험시작일자 is highly imbalanced (94.6%)Imbalance
기획여행보험종료일자 is highly imbalanced (94.6%)Imbalance
인허가취소일자 has 344 (97.7%) missing valuesMissing
폐업일자 has 264 (75.0%) missing valuesMissing
재개업일자 has 352 (100.0%) missing valuesMissing
소재지전화 has 101 (28.7%) missing valuesMissing
소재지면적 has 352 (100.0%) missing valuesMissing
소재지우편번호 has 285 (81.0%) missing valuesMissing
도로명우편번호 has 14 (4.0%) missing valuesMissing
업태구분명 has 352 (100.0%) missing valuesMissing
문화사업자구분명 has 352 (100.0%) missing valuesMissing
총층수 has 309 (87.8%) missing valuesMissing
제작취급품목내용 has 352 (100.0%) missing valuesMissing
지상층수 has 304 (86.4%) missing valuesMissing
객실수 has 352 (100.0%) missing valuesMissing
건축연면적 has 352 (100.0%) missing valuesMissing
영문상호명 has 316 (89.8%) missing valuesMissing
선박총톤수 has 352 (100.0%) missing valuesMissing
선박척수 has 352 (100.0%) missing valuesMissing
선박제원 has 352 (100.0%) missing valuesMissing
무대면적 has 352 (100.0%) missing valuesMissing
좌석수 has 352 (100.0%) missing valuesMissing
기념품종류 has 352 (100.0%) missing valuesMissing
회의실별동시수용인원 has 352 (100.0%) missing valuesMissing
시설면적 has 266 (75.6%) missing valuesMissing
놀이기구수내역 has 352 (100.0%) missing valuesMissing
놀이시설수 has 352 (100.0%) missing valuesMissing
방송시설유무 has 352 (100.0%) missing valuesMissing
발전시설유무 has 352 (100.0%) missing valuesMissing
의무실유무 has 352 (100.0%) missing valuesMissing
안내소유무 has 352 (100.0%) missing valuesMissing
자본금 has 81 (23.0%) missing valuesMissing
보험시작일자 has 36 (10.2%) missing valuesMissing
보험종료일자 has 36 (10.2%) missing valuesMissing
부대시설내역 has 352 (100.0%) missing valuesMissing
시설규모 has 266 (75.6%) missing valuesMissing
Unnamed: 63 has 352 (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 22:15:52.342917
Analysis finished2024-04-17 22:15:53.121413
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.5
Minimum1
Maximum352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:53.184094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.55
Q188.75
median176.5
Q3264.25
95-th percentile334.45
Maximum352
Range351
Interquartile range (IQR)175.5

Descriptive statistics

Standard deviation101.75788
Coefficient of variation (CV)0.57653191
Kurtosis-1.2
Mean176.5
Median Absolute Deviation (MAD)88
Skewness0
Sum62128
Variance10354.667
MonotonicityStrictly increasing
2024-04-18T07:15:53.303845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
178 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 (342) 342
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 (%)
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%
343 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반여행업
352 

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 352
100.0%

Length

2024-04-18T07:15:53.411161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:53.496068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 352
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
03_12_03_P
352 

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 352
100.0%

Length

2024-04-18T07:15:53.584189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:53.661001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 352
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3308608
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:53.740826image/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 deviation41674.97
Coefficient of variation (CV)0.012595923
Kurtosis-0.82131302
Mean3308608
Median Absolute Deviation (MAD)30000
Skewness0.40574846
Sum1.16463 × 109
Variance1.7368031 × 109
MonotonicityNot monotonic
2024-04-18T07:15:53.856915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 71
20.2%
3290000 58
16.5%
3270000 53
15.1%
3250000 41
11.6%
3310000 20
 
5.7%
3380000 18
 
5.1%
3370000 18
 
5.1%
3300000 16
 
4.5%
3390000 11
 
3.1%
3280000 10
 
2.8%
Other values (6) 36
10.2%
ValueCountFrequency (%)
3250000 41
11.6%
3260000 6
 
1.7%
3270000 53
15.1%
3280000 10
 
2.8%
3290000 58
16.5%
3300000 16
 
4.5%
3310000 20
 
5.7%
3320000 2
 
0.6%
3330000 71
20.2%
3340000 8
 
2.3%
ValueCountFrequency (%)
3400000 5
 
1.4%
3390000 11
 
3.1%
3380000 18
 
5.1%
3370000 18
 
5.1%
3360000 6
 
1.7%
3350000 9
 
2.6%
3340000 8
 
2.3%
3330000 71
20.2%
3320000 2
 
0.6%
3310000 20
 
5.7%
Distinct107
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:15:54.060651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7040
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%
cdfi2260042016000001 11
 
3.1%
cdfi2260042018000002 11
 
3.1%
cdfi2260042020000001 11
 
3.1%
cdfi2260042018000001 11
 
3.1%
cdfi2260042017000002 10
 
2.8%
cdfi2260042017000001 10
 
2.8%
cdfi2260042012000001 8
 
2.3%
cdfi2260042016000002 8
 
2.3%
cdfi2260042019000002 8
 
2.3%
Other values (97) 251
71.3%
2024-04-18T07:15:54.361213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2865
40.7%
2 1186
16.8%
1 431
 
6.1%
6 410
 
5.8%
4 400
 
5.7%
C 352
 
5.0%
D 352
 
5.0%
F 352
 
5.0%
I 352
 
5.0%
9 75
 
1.1%
Other values (4) 265
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5632
80.0%
Uppercase Letter 1408
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2865
50.9%
2 1186
21.1%
1 431
 
7.7%
6 410
 
7.3%
4 400
 
7.1%
9 75
 
1.3%
8 73
 
1.3%
7 71
 
1.3%
3 62
 
1.1%
5 59
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 352
25.0%
D 352
25.0%
F 352
25.0%
I 352
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5632
80.0%
Latin 1408
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2865
50.9%
2 1186
21.1%
1 431
 
7.7%
6 410
 
7.3%
4 400
 
7.1%
9 75
 
1.3%
8 73
 
1.3%
7 71
 
1.3%
3 62
 
1.1%
5 59
 
1.0%
Latin
ValueCountFrequency (%)
C 352
25.0%
D 352
25.0%
F 352
25.0%
I 352
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2865
40.7%
2 1186
16.8%
1 431
 
6.1%
6 410
 
5.8%
4 400
 
5.7%
C 352
 
5.0%
D 352
 
5.0%
F 352
 
5.0%
I 352
 
5.0%
9 75
 
1.1%
Other values (4) 265
 
3.8%

인허가일자
Real number (ℝ)

Distinct322
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151101
Minimum19900523
Maximum20201217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:54.498673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900523
5-th percentile20060779
Q120131204
median20161068
Q320180623
95-th percentile20200315
Maximum20201217
Range300694
Interquartile range (IQR)49418.25

Descriptive statistics

Standard deviation47565.189
Coefficient of variation (CV)0.0023604264
Kurtosis6.352657
Mean20151101
Median Absolute Deviation (MAD)19895
Skewness-2.2121413
Sum7.0931874 × 109
Variance2.2624472 × 109
MonotonicityNot monotonic
2024-04-18T07:15:55.134780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150211 3
 
0.9%
20180622 3
 
0.9%
20200709 3
 
0.9%
20190312 3
 
0.9%
20180130 2
 
0.6%
20180704 2
 
0.6%
20200206 2
 
0.6%
20151118 2
 
0.6%
20160803 2
 
0.6%
20171102 2
 
0.6%
Other values (312) 328
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 (%)
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%
20200709 3
0.9%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing344
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean20160653
Minimum20100305
Maximum20200522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:55.231440image/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
2024-04-18T07:15:55.325701image/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) 344
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
251 
3
88 
4
 
9
2
 
4

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 (%)
1 251
71.3%
3 88
 
25.0%
4 9
 
2.6%
2 4
 
1.1%

Length

2024-04-18T07:15:55.421929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:55.523784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 251
71.3%
3 88
 
25.0%
4 9
 
2.6%
2 4
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업/정상
251 
폐업
88 
취소/말소/만료/정지/중지
 
9
휴업
 
4

Length

Max length14
Median length5
Mean length4.4460227
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 251
71.3%
폐업 88
 
25.0%
취소/말소/만료/정지/중지 9
 
2.6%
휴업 4
 
1.1%

Length

2024-04-18T07:15:55.626680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:55.724052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 251
71.3%
폐업 88
 
25.0%
취소/말소/만료/정지/중지 9
 
2.6%
휴업 4
 
1.1%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
13
251 
3
88 
31
 
9
2
 
4

Length

Max length2
Median length2
Mean length1.7386364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 251
71.3%
3 88
 
25.0%
31 9
 
2.6%
2 4
 
1.1%

Length

2024-04-18T07:15:55.822302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:55.911027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 251
71.3%
3 88
 
25.0%
31 9
 
2.6%
2 4
 
1.1%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
영업중
251 
폐업
88 
등록취소
 
9
휴업
 
4

Length

Max length4
Median length3
Mean length2.7642045
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 251
71.3%
폐업 88
 
25.0%
등록취소 9
 
2.6%
휴업 4
 
1.1%

Length

2024-04-18T07:15:56.011167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:56.125455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 251
71.3%
폐업 88
 
25.0%
등록취소 9
 
2.6%
휴업 4
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)96.6%
Missing264
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean20169075
Minimum20110425
Maximum20201106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:56.280625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110425
5-th percentile20120438
Q120150992
median20171024
Q320190622
95-th percentile20200630
Maximum20201106
Range90681
Interquartile range (IQR)39630.25

Descriptive statistics

Standard deviation24830.891
Coefficient of variation (CV)0.0012311368
Kurtosis-0.1920846
Mean20169075
Median Absolute Deviation (MAD)19794
Skewness-0.73797925
Sum1.7748786 × 109
Variance6.1657316 × 108
MonotonicityNot monotonic
2024-04-18T07:15:56.419636image/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 (75) 75
 
21.3%
(Missing) 264
75.0%
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 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
348 
20201214
 
1
20200705
 
1
20180730
 
1
20200317
 
1

Length

Max length8
Median length4
Mean length4.0454545
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> 348
98.9%
20201214 1
 
0.3%
20200705 1
 
0.3%
20180730 1
 
0.3%
20200317 1
 
0.3%

Length

2024-04-18T07:15:56.568122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:56.675088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 348
98.9%
20201214 1
 
0.3%
20200705 1
 
0.3%
20180730 1
 
0.3%
20200317 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
348 
20211213
 
1
20210630
 
1
20190630
 
1
20210316
 
1

Length

Max length8
Median length4
Mean length4.0454545
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> 348
98.9%
20211213 1
 
0.3%
20210630 1
 
0.3%
20190630 1
 
0.3%
20210316 1
 
0.3%

Length

2024-04-18T07:15:56.823520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:15:56.923299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 348
98.9%
20211213 1
 
0.3%
20210630 1
 
0.3%
20190630 1
 
0.3%
20210316 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

소재지전화
Text

MISSING 

Distinct249
Distinct (%)99.2%
Missing101
Missing (%)28.7%
Memory size2.9 KiB
2024-04-18T07:15:57.126012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.14741
Min length7

Characters and Unicode

Total characters2798
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

Unique247 ?
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
 
3.0%
070 3
 
1.1%
051-714-6867 2
 
0.7%
051-851-0600 2
 
0.7%
051-782-0193 1
 
0.4%
051-987-5289 1
 
0.4%
07075614763 1
 
0.4%
051-461-0080 1
 
0.4%
0514673200 1
 
0.4%
051-418-1863 1
 
0.4%
Other values (250) 250
92.3%
2024-04-18T07:15:57.462081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 468
16.7%
5 380
13.6%
1 374
13.4%
- 364
13.0%
7 216
7.7%
8 191
6.8%
6 187
 
6.7%
4 176
 
6.3%
2 154
 
5.5%
3 142
 
5.1%
Other values (3) 146
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2412
86.2%
Dash Punctuation 364
 
13.0%
Space Separator 20
 
0.7%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 468
19.4%
5 380
15.8%
1 374
15.5%
7 216
9.0%
8 191
7.9%
6 187
 
7.8%
4 176
 
7.3%
2 154
 
6.4%
3 142
 
5.9%
9 124
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 468
16.7%
5 380
13.6%
1 374
13.4%
- 364
13.0%
7 216
7.7%
8 191
6.8%
6 187
 
6.7%
4 176
 
6.3%
2 154
 
5.5%
3 142
 
5.1%
Other values (3) 146
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 468
16.7%
5 380
13.6%
1 374
13.4%
- 364
13.0%
7 216
7.7%
8 191
6.8%
6 187
 
6.7%
4 176
 
6.3%
2 154
 
5.5%
3 142
 
5.1%
Other values (3) 146
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)80.6%
Missing285
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean608771.72
Minimum600012
Maximum617814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:57.585846image/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
2024-04-18T07:15:57.707995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600014 4
 
1.1%
612022 3
 
0.9%
612889 3
 
0.9%
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) 285
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 (%)94.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:15:58.003349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.176136
Min length13

Characters and Unicode

Total characters9214
Distinct characters278
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 (%)90.3%

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 352
 
20.2%
해운대구 71
 
4.1%
부산진구 58
 
3.3%
동구 53
 
3.0%
중구 41
 
2.4%
초량동 39
 
2.2%
우동 36
 
2.1%
부전동 24
 
1.4%
남구 20
 
1.1%
재송동 19
 
1.1%
Other values (635) 1030
59.1%
2024-04-18T07:15:58.431473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1391
 
15.1%
460
 
5.0%
1 459
 
5.0%
453
 
4.9%
448
 
4.9%
365
 
4.0%
365
 
4.0%
358
 
3.9%
352
 
3.8%
- 277
 
3.0%
Other values (268) 4286
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5450
59.1%
Decimal Number 1938
 
21.0%
Space Separator 1391
 
15.1%
Dash Punctuation 277
 
3.0%
Lowercase Letter 92
 
1.0%
Uppercase Letter 56
 
0.6%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
460
 
8.4%
453
 
8.3%
448
 
8.2%
365
 
6.7%
365
 
6.7%
358
 
6.6%
352
 
6.5%
232
 
4.3%
225
 
4.1%
117
 
2.1%
Other values (224) 2075
38.1%
Uppercase Letter
ValueCountFrequency (%)
S 16
28.6%
C 8
14.3%
T 7
12.5%
B 6
 
10.7%
K 5
 
8.9%
A 2
 
3.6%
H 2
 
3.6%
E 2
 
3.6%
W 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%
w 6
 
6.5%
n 6
 
6.5%
d 6
 
6.5%
m 6
 
6.5%
i 6
 
6.5%
x 6
 
6.5%
Other values (4) 9
9.8%
Decimal Number
ValueCountFrequency (%)
1 459
23.7%
2 257
13.3%
0 212
10.9%
3 201
10.4%
4 200
10.3%
5 151
 
7.8%
8 134
 
6.9%
7 115
 
5.9%
6 109
 
5.6%
9 100
 
5.2%
Space Separator
ValueCountFrequency (%)
1391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 277
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5450
59.1%
Common 3616
39.2%
Latin 148
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
460
 
8.4%
453
 
8.3%
448
 
8.2%
365
 
6.7%
365
 
6.7%
358
 
6.6%
352
 
6.5%
232
 
4.3%
225
 
4.1%
117
 
2.1%
Other values (224) 2075
38.1%
Latin
ValueCountFrequency (%)
e 20
 
13.5%
S 16
 
10.8%
o 12
 
8.1%
C 8
 
5.4%
a 8
 
5.4%
T 7
 
4.7%
l 7
 
4.7%
w 6
 
4.1%
n 6
 
4.1%
d 6
 
4.1%
Other values (19) 52
35.1%
Common
ValueCountFrequency (%)
1391
38.5%
1 459
 
12.7%
- 277
 
7.7%
2 257
 
7.1%
0 212
 
5.9%
3 201
 
5.6%
4 200
 
5.5%
5 151
 
4.2%
8 134
 
3.7%
7 115
 
3.2%
Other values (5) 219
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5450
59.1%
ASCII 3764
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1391
37.0%
1 459
 
12.2%
- 277
 
7.4%
2 257
 
6.8%
0 212
 
5.6%
3 201
 
5.3%
4 200
 
5.3%
5 151
 
4.0%
8 134
 
3.6%
7 115
 
3.1%
Other values (34) 367
 
9.8%
Hangul
ValueCountFrequency (%)
460
 
8.4%
453
 
8.3%
448
 
8.2%
365
 
6.7%
365
 
6.7%
358
 
6.6%
352
 
6.5%
232
 
4.3%
225
 
4.1%
117
 
2.1%
Other values (224) 2075
38.1%
Distinct346
Distinct (%)98.6%
Missing1
Missing (%)0.3%
Memory size2.9 KiB
2024-04-18T07:15:58.713794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length35.435897
Min length21

Characters and Unicode

Total characters12438
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

Unique341 ?
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 351
 
14.9%
해운대구 71
 
3.0%
부산진구 58
 
2.5%
동구 53
 
2.2%
중앙대로 43
 
1.8%
중구 41
 
1.7%
초량동 37
 
1.6%
우동 36
 
1.5%
3층 28
 
1.2%
부전동 24
 
1.0%
Other values (818) 1617
68.5%
2024-04-18T07:15:59.160012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2017
 
16.2%
507
 
4.1%
458
 
3.7%
454
 
3.7%
1 415
 
3.3%
, 412
 
3.3%
381
 
3.1%
374
 
3.0%
355
 
2.9%
355
 
2.9%
Other values (313) 6710
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7024
56.5%
Decimal Number 2052
 
16.5%
Space Separator 2017
 
16.2%
Other Punctuation 413
 
3.3%
Open Punctuation 353
 
2.8%
Close Punctuation 353
 
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 (%)
507
 
7.2%
458
 
6.5%
454
 
6.5%
381
 
5.4%
374
 
5.3%
355
 
5.1%
355
 
5.1%
348
 
5.0%
260
 
3.7%
220
 
3.1%
Other values (264) 3312
47.2%
Uppercase Letter
ValueCountFrequency (%)
S 17
20.7%
C 13
15.9%
B 8
9.8%
A 8
9.8%
E 7
8.5%
T 7
8.5%
K 5
 
6.1%
P 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%
d 6
 
6.5%
i 6
 
6.5%
m 6
 
6.5%
p 6
 
6.5%
x 6
 
6.5%
Other values (4) 9
9.8%
Decimal Number
ValueCountFrequency (%)
1 415
20.2%
2 316
15.4%
0 287
14.0%
3 247
12.0%
4 200
9.7%
7 143
 
7.0%
5 125
 
6.1%
6 116
 
5.7%
9 112
 
5.5%
8 91
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 412
99.8%
* 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 352
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 352
99.7%
] 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2017
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7024
56.5%
Common 5240
42.1%
Latin 174
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
507
 
7.2%
458
 
6.5%
454
 
6.5%
381
 
5.4%
374
 
5.3%
355
 
5.1%
355
 
5.1%
348
 
5.0%
260
 
3.7%
220
 
3.1%
Other values (264) 3312
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%
E 7
 
4.0%
T 7
 
4.0%
l 7
 
4.0%
Other values (20) 67
38.5%
Common
ValueCountFrequency (%)
2017
38.5%
1 415
 
7.9%
, 412
 
7.9%
( 352
 
6.7%
) 352
 
6.7%
2 316
 
6.0%
0 287
 
5.5%
3 247
 
4.7%
4 200
 
3.8%
7 143
 
2.7%
Other values (9) 499
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7024
56.5%
ASCII 5414
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2017
37.3%
1 415
 
7.7%
, 412
 
7.6%
( 352
 
6.5%
) 352
 
6.5%
2 316
 
5.8%
0 287
 
5.3%
3 247
 
4.6%
4 200
 
3.7%
7 143
 
2.6%
Other values (39) 673
 
12.4%
Hangul
ValueCountFrequency (%)
507
 
7.2%
458
 
6.5%
454
 
6.5%
381
 
5.4%
374
 
5.3%
355
 
5.1%
355
 
5.1%
348
 
5.0%
260
 
3.7%
220
 
3.1%
Other values (264) 3312
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)60.9%
Missing14
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean79655.18
Minimum46019
Maximum617814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:15:59.271769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46019
5-th percentile46754.15
Q147524.25
median48111
Q348821
95-th percentile600132.2
Maximum617814
Range571795
Interquartile range (IQR)1296.75

Descriptive statistics

Standard deviation129518.51
Coefficient of variation (CV)1.6259898
Kurtosis13.067179
Mean79655.18
Median Absolute Deviation (MAD)707
Skewness3.8712789
Sum26923451
Variance1.6775046 × 1010
MonotonicityNot monotonic
2024-04-18T07:15:59.375955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 19
 
5.4%
47257 8
 
2.3%
48060 7
 
2.0%
48058 7
 
2.0%
48821 7
 
2.0%
48818 6
 
1.7%
48930 6
 
1.7%
49037 6
 
1.7%
48957 5
 
1.4%
48093 4
 
1.1%
Other values (196) 263
74.7%
(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 

Distinct352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-18T07:15:59.580319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.9090909
Min length3

Characters and Unicode

Total characters3136
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

Unique352 ?
Unique (%)100.0%

Sample

1st row진투어
2nd row(주)팝콘투어네트웍스
3rd row(주)우리투어
4th row(주)세진월드
5th row하나가오 여행사
ValueCountFrequency (%)
주식회사 56
 
12.0%
tour 7
 
1.5%
투어 5
 
1.1%
여행사 4
 
0.9%
코리아 3
 
0.6%
유에스 2
 
0.4%
2
 
0.4%
부산 2
 
0.4%
에듀케이션 2
 
0.4%
2
 
0.4%
Other values (380) 382
81.8%
2024-04-18T07:15:59.892691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
8.8%
( 231
 
7.4%
) 231
 
7.4%
118
 
3.8%
115
 
3.7%
105
 
3.3%
103
 
3.3%
86
 
2.7%
85
 
2.7%
82
 
2.6%
Other values (355) 1704
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2385
76.1%
Open Punctuation 231
 
7.4%
Close Punctuation 231
 
7.4%
Space Separator 115
 
3.7%
Uppercase Letter 100
 
3.2%
Lowercase Letter 56
 
1.8%
Decimal Number 6
 
0.2%
Other Punctuation 6
 
0.2%
Dash Punctuation 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
276
 
11.6%
118
 
4.9%
105
 
4.4%
103
 
4.3%
86
 
3.6%
85
 
3.6%
82
 
3.4%
61
 
2.6%
61
 
2.6%
59
 
2.5%
Other values (304) 1349
56.6%
Uppercase Letter
ValueCountFrequency (%)
T 12
 
12.0%
U 8
 
8.0%
S 7
 
7.0%
A 7
 
7.0%
O 7
 
7.0%
N 6
 
6.0%
M 6
 
6.0%
R 6
 
6.0%
C 5
 
5.0%
E 4
 
4.0%
Other values (12) 32
32.0%
Lowercase Letter
ValueCountFrequency (%)
r 11
19.6%
o 10
17.9%
u 7
12.5%
t 6
10.7%
i 3
 
5.4%
e 3
 
5.4%
s 2
 
3.6%
n 2
 
3.6%
m 2
 
3.6%
d 2
 
3.6%
Other values (7) 8
14.3%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
' 2
33.3%
, 1
16.7%
. 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
2 1
 
16.7%
0 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2378
75.8%
Common 595
 
19.0%
Latin 156
 
5.0%
Han 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
276
 
11.6%
118
 
5.0%
105
 
4.4%
103
 
4.3%
86
 
3.6%
85
 
3.6%
82
 
3.4%
61
 
2.6%
61
 
2.6%
59
 
2.5%
Other values (297) 1342
56.4%
Latin
ValueCountFrequency (%)
T 12
 
7.7%
r 11
 
7.1%
o 10
 
6.4%
U 8
 
5.1%
S 7
 
4.5%
u 7
 
4.5%
A 7
 
4.5%
O 7
 
4.5%
N 6
 
3.8%
M 6
 
3.8%
Other values (29) 75
48.1%
Common
ValueCountFrequency (%)
( 231
38.8%
) 231
38.8%
115
19.3%
- 4
 
0.7%
1 4
 
0.7%
& 2
 
0.3%
' 2
 
0.3%
> 2
 
0.3%
, 1
 
0.2%
. 1
 
0.2%
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 2378
75.8%
ASCII 751
 
23.9%
CJK 7
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
276
 
11.6%
118
 
5.0%
105
 
4.4%
103
 
4.3%
86
 
3.6%
85
 
3.6%
82
 
3.4%
61
 
2.6%
61
 
2.6%
59
 
2.5%
Other values (297) 1342
56.4%
ASCII
ValueCountFrequency (%)
( 231
30.8%
) 231
30.8%
115
15.3%
T 12
 
1.6%
r 11
 
1.5%
o 10
 
1.3%
U 8
 
1.1%
S 7
 
0.9%
u 7
 
0.9%
A 7
 
0.9%
Other values (41) 112
14.9%
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 

Distinct352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188532 × 1013
Minimum2.0101111 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:00.018461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0101111 × 1013
5-th percentile2.0141171 × 1013
Q12.018109 × 1013
median2.0200302 × 1013
Q32.0200803 × 1013
95-th percentile2.0201162 × 1013
Maximum2.0201231 × 1013
Range1.0012001 × 1011
Interquartile range (IQR)1.9713282 × 1010

Descriptive statistics

Standard deviation1.9826486 × 1010
Coefficient of variation (CV)0.00098206675
Kurtosis4.2393002
Mean2.0188532 × 1013
Median Absolute Deviation (MAD)8.6344442 × 108
Skewness-2.0878167
Sum7.1063631 × 1015
Variance3.9308953 × 1020
MonotonicityNot monotonic
2024-04-18T07:16:00.160431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160609143658 1
 
0.3%
20200117135035 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 (342) 342
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 (%)
20201231160213 1
0.3%
20201230135946 1
0.3%
20201229091320 1
0.3%
20201228090503 1
0.3%
20201222153027 1
0.3%
20201222145857 1
0.3%
20201222135951 1
0.3%
20201218191428 1
0.3%
20201218094644 1
0.3%
20201217164620 1
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
U
248 
I
104 

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 248
70.5%
I 104
29.5%

Length

2024-04-18T07:16:00.284765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:00.386059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 248
70.5%
i 104
29.5%
Distinct192
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-18T07:16:00.475031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:16:00.605075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

좌표정보(x)
Real number (ℝ)

Distinct280
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388888.84
Minimum370683.06
Maximum402047.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:00.718885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370683.06
5-th percentile381022.17
Q1385766.73
median387991.86
Q3392432.37
95-th percentile397160
Maximum402047.51
Range31364.45
Interquartile range (IQR)6665.637

Descriptive statistics

Standard deviation4571.9434
Coefficient of variation (CV)0.011756427
Kurtosis0.5047361
Mean388888.84
Median Absolute Deviation (MAD)2434.7913
Skewness0.07774557
Sum1.3688887 × 108
Variance20902666
MonotonicityNot monotonic
2024-04-18T07:16:00.840105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394209.294344881 7
 
2.0%
385754.477258744 6
 
1.7%
387225.613588405 6
 
1.7%
393503.395720953 5
 
1.4%
386767.752701442 5
 
1.4%
393607.260373715 4
 
1.1%
391411.212179843 3
 
0.9%
393284.046237794 3
 
0.9%
385909.371816942 3
 
0.9%
395388.715069604 3
 
0.9%
Other values (270) 307
87.2%
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 (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185495.02
Minimum174149.42
Maximum205969.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:00.945296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174149.42
5-th percentile179242.58
Q1181867.1
median186154.33
Q3188030.25
95-th percentile191961.16
Maximum205969.83
Range31820.411
Interquartile range (IQR)6163.151

Descriptive statistics

Standard deviation4454.2933
Coefficient of variation (CV)0.024013007
Kurtosis2.4726725
Mean185495.02
Median Absolute Deviation (MAD)2406.4948
Skewness0.74466894
Sum65294249
Variance19840729
MonotonicityNot monotonic
2024-04-18T07:16:01.070379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187280.207931335 7
 
2.0%
179113.980448494 6
 
1.7%
186408.726533861 6
 
1.7%
188279.474831569 5
 
1.4%
181913.054093558 5
 
1.4%
188408.076687691 4
 
1.1%
184052.409245407 3
 
0.9%
187432.534573096 3
 
0.9%
181245.959273419 3
 
0.9%
186268.853282623 3
 
0.9%
Other values (270) 307
87.2%
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
352 

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 352
100.0%

Length

2024-04-18T07:16:01.175607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:01.256049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 352
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
292 
일반주거지역
 
15
일반상업지역
 
13
상업지역
 
10
준주거지역
 
10
Other values (4)
 
12

Length

Max length6
Median length4
Mean length4.21875
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> 292
83.0%
일반주거지역 15
 
4.3%
일반상업지역 13
 
3.7%
상업지역 10
 
2.8%
준주거지역 10
 
2.8%
주거지역 5
 
1.4%
준공업지역 3
 
0.9%
근린상업지역 2
 
0.6%
자연녹지지역 2
 
0.6%

Length

2024-04-18T07:16:01.349808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:01.454740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
83.0%
일반주거지역 15
 
4.3%
일반상업지역 13
 
3.7%
상업지역 10
 
2.8%
준주거지역 10
 
2.8%
주거지역 5
 
1.4%
준공업지역 3
 
0.9%
근린상업지역 2
 
0.6%
자연녹지지역 2
 
0.6%

총층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)32.6%
Missing309
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean5.4418605
Minimum0
Maximum36
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:01.551818image/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
2024-04-18T07:16:01.650748image/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) 309
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>
318 
기타
 
15
학교정화(상대)
 
8
주택가주변
 
5
아파트지역
 
3

Length

Max length8
Median length4
Mean length4.0625
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> 318
90.3%
기타 15
 
4.3%
학교정화(상대) 8
 
2.3%
주택가주변 5
 
1.4%
아파트지역 3
 
0.9%
유흥업소밀집지역 3
 
0.9%

Length

2024-04-18T07:16:01.756952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:01.848325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 318
90.3%
기타 15
 
4.3%
학교정화(상대 8
 
2.3%
주택가주변 5
 
1.4%
아파트지역 3
 
0.9%
유흥업소밀집지역 3
 
0.9%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

보험기관명
Categorical

Distinct21
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
서울보증보험주식회사
118 
서울보증보험
78 
<NA>
49 
한국관광협회중앙회
26 
한국관광협회중앙회 여행공제회
24 
Other values (16)
57 

Length

Max length18
Median length15
Mean length8.375
Min length4

Unique

Unique9 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
서울보증보험주식회사 118
33.5%
서울보증보험 78
22.2%
<NA> 49
13.9%
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) 14
 
4.0%

Length

2024-04-18T07:16:01.969354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울보증보험주식회사 118
30.6%
서울보증보험 80
20.8%
한국관광협회중앙회 55
14.3%
na 49
12.7%
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) 15
 
3.9%

건물용도명
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
287 
근린생활시설
37 
사무실
 
19
기타
 
3
아파트
 
1
Other values (5)
 
5

Length

Max length12
Median length4
Mean length4.1732955
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> 287
81.5%
근린생활시설 37
 
10.5%
사무실 19
 
5.4%
기타 3
 
0.9%
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

2024-04-18T07:16:02.083299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:02.193059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
81.5%
근린생활시설 37
 
10.5%
사무실 19
 
5.4%
기타 3
 
0.9%
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%
Missing304
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean4.7291667
Minimum0
Maximum32
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:02.303180image/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
2024-04-18T07:16:02.402477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 11
 
3.1%
3 9
 
2.6%
1 7
 
2.0%
5 6
 
1.7%
10 4
 
1.1%
4 3
 
0.9%
9 2
 
0.6%
8 1
 
0.3%
14 1
 
0.3%
11 1
 
0.3%
Other values (3) 3
 
0.9%
(Missing) 304
86.4%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.0%
2 11
3.1%
3 9
2.6%
4 3
 
0.9%
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
 
0.9%
3 9
2.6%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
330 
1
 
8
0
 
7
2
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.8125
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> 330
93.8%
1 8
 
2.3%
0 7
 
2.0%
2 5
 
1.4%
3 1
 
0.3%
5 1
 
0.3%

Length

2024-04-18T07:16:02.629092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:02.744512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
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 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

영문상호명
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing316
Missing (%)89.8%
Memory size2.9 KiB
2024-04-18T07:16:02.941010image/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%
2024-04-18T07:16:03.305137image/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>
316 
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 length5.9204545
Min length4

Unique

Unique9 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 316
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

2024-04-18T07:16:03.417601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 316
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 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)91.9%
Missing266
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean132.50116
Minimum0
Maximum1988.63
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:03.517911image/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
2024-04-18T07:16:03.637392image/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
 
19.6%
(Missing) 266
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 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
347 
20170804
 
1
20200528
 
1
20201224
 
1
20200401
 
1

Length

Max length8
Median length4
Mean length4.0568182
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> 347
98.6%
20170804 1
 
0.3%
20200528 1
 
0.3%
20201224 1
 
0.3%
20200401 1
 
0.3%
20190106 1
 
0.3%

Length

2024-04-18T07:16:03.769694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:03.873439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 347
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>
347 
20180803
 
1
20210527
 
1
20211224
 
1
20210331
 
1

Length

Max length8
Median length4
Mean length4.0568182
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> 347
98.6%
20180803 1
 
0.3%
20210527 1
 
0.3%
20211224 1
 
0.3%
20210331 1
 
0.3%
20200105 1
 
0.3%

Length

2024-04-18T07:16:03.984731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:16:04.080640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 347
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%
Missing81
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean9.8663564 × 108
Minimum6
Maximum2 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:04.183142image/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
2024-04-18T07:16:04.866621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 88
25.0%
200000000 64
18.2%
350000000 20
 
5.7%
150000000 7
 
2.0%
300000000 7
 
2.0%
210000000 3
 
0.9%
500000000 2
 
0.6%
110000000 2
 
0.6%
50000000 2
 
0.6%
2000000000 2
 
0.6%
Other values (74) 74
21.0%
(Missing) 81
23.0%
ValueCountFrequency (%)
6 1
 
0.3%
50000000 2
 
0.6%
100000000 88
25.0%
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 

Distinct271
Distinct (%)85.8%
Missing36
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean20186127
Minimum20090407
Maximum20210108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:05.000540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090407
5-th percentile20140382
Q120180718
median20191129
Q320200648
95-th percentile20201118
Maximum20210108
Range119701
Interquartile range (IQR)19929.5

Descriptive statistics

Standard deviation21321.089
Coefficient of variation (CV)0.0010562249
Kurtosis3.100886
Mean20186127
Median Absolute Deviation (MAD)9587
Skewness-1.8257626
Sum6.3788161 × 109
Variance4.5458884 × 108
MonotonicityNot monotonic
2024-04-18T07:16:05.129649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200201 4
 
1.1%
20200101 3
 
0.9%
20201201 3
 
0.9%
20200709 3
 
0.9%
20191101 3
 
0.9%
20200813 2
 
0.6%
20180320 2
 
0.6%
20200801 2
 
0.6%
20200805 2
 
0.6%
20200306 2
 
0.6%
Other values (261) 290
82.4%
(Missing) 36
 
10.2%
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 (%)
20210108 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%
20201203 2
0.6%
20201201 3
0.9%
20201127 1
 
0.3%

보험종료일자
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)86.7%
Missing36
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean20202402
Minimum20100407
Maximum21210824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:05.260034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100407
5-th percentile20150382
Q120190717
median20201130
Q320210702
95-th percentile20211125
Maximum21210824
Range1110417
Interquartile range (IQR)19985

Descriptive statistics

Standard deviation83357.429
Coefficient of variation (CV)0.0041261146
Kurtosis135.58255
Mean20202402
Median Absolute Deviation (MAD)9595.5
Skewness11.265183
Sum6.3839592 × 109
Variance6.9484609 × 109
MonotonicityNot monotonic
2024-04-18T07:16:05.414469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210131 4
 
1.1%
20201231 3
 
0.9%
20210708 3
 
0.9%
20201031 3
 
0.9%
20211130 3
 
0.9%
20210609 2
 
0.6%
20210215 2
 
0.6%
20171229 2
 
0.6%
20210702 2
 
0.6%
20210731 2
 
0.6%
Other values (264) 290
82.4%
(Missing) 36
 
10.2%
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%
20220107 1
0.3%
20211228 1
0.3%
20211225 1
0.3%
20211224 1
0.3%
20211214 1
0.3%
20211211 1
0.3%
20211205 1
0.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing352
Missing (%)100.0%
Memory size3.2 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)75.6%
Missing266
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean132.48837
Minimum0
Maximum1989
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-18T07:16:05.547029image/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
2024-04-18T07:16:05.671248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 5
 
1.4%
69 3
 
0.9%
90 3
 
0.9%
42 3
 
0.9%
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) 266
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 

Missing352
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
342343일반여행업03_12_03_P3330000CDFI226004202000000120200131<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7204-9101<NA><NA>부산광역시 해운대구 재송동 1216번지 벽산이센텀클래스원 1408호부산광역시 해운대구 센텀동로 99, 벽산이센텀클래스원 1408호 (재송동)48059현대페이(주)20200217143058U2020-02-19 02:40:00.0<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>2020021020210209<NA><NA><NA>
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)신라투어고속20200709134729I2020-07-10 00:23:16.0<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>