Overview

Dataset statistics

Number of variables63
Number of observations201
Missing cells4655
Missing cells (%)36.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.9 KiB
Average record size in memory549.7 B

Variable types

Numeric16
Categorical21
Text8
Unsupported17
DateTime1

Dataset

Description22년07월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094213&dataSetDetailId=DDI_0000094220&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (83.7%)Imbalance
지역구분명 is highly imbalanced (77.3%)Imbalance
건물용도명 is highly imbalanced (71.5%)Imbalance
영문상호주소 is highly imbalanced (51.9%)Imbalance
폐업일자 has 174 (86.6%) missing valuesMissing
휴업시작일자 has 201 (100.0%) missing valuesMissing
휴업종료일자 has 201 (100.0%) missing valuesMissing
재개업일자 has 201 (100.0%) missing valuesMissing
소재지전화 has 67 (33.3%) missing valuesMissing
소재지면적 has 201 (100.0%) missing valuesMissing
소재지우편번호 has 167 (83.1%) missing valuesMissing
도로명우편번호 has 3 (1.5%) missing valuesMissing
업태구분명 has 201 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.5%) missing valuesMissing
좌표정보(Y) has 3 (1.5%) missing valuesMissing
문화사업자구분명 has 201 (100.0%) missing valuesMissing
총층수 has 101 (50.2%) missing valuesMissing
주변환경명 has 196 (97.5%) missing valuesMissing
제작취급품목내용 has 201 (100.0%) missing valuesMissing
보험기관명 has 42 (20.9%) missing valuesMissing
지상층수 has 101 (50.2%) missing valuesMissing
영문상호명 has 111 (55.2%) missing valuesMissing
선박제원 has 201 (100.0%) missing valuesMissing
기념품종류 has 201 (100.0%) missing valuesMissing
시설면적 has 94 (46.8%) missing valuesMissing
놀이기구수내역 has 201 (100.0%) missing valuesMissing
방송시설유무 has 201 (100.0%) missing valuesMissing
발전시설유무 has 201 (100.0%) missing valuesMissing
의무실유무 has 201 (100.0%) missing valuesMissing
안내소유무 has 201 (100.0%) missing valuesMissing
기획여행보험시작일자 has 201 (100.0%) missing valuesMissing
기획여행보험종료일자 has 201 (100.0%) missing valuesMissing
자본금 has 20 (10.0%) missing valuesMissing
보험시작일자 has 31 (15.4%) missing valuesMissing
보험종료일자 has 31 (15.4%) missing valuesMissing
부대시설내역 has 201 (100.0%) missing valuesMissing
시설규모 has 94 (46.8%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
선박제원 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
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 85 (42.3%) zerosZeros
지상층수 has 84 (41.8%) zerosZeros
시설면적 has 74 (36.8%) zerosZeros
자본금 has 25 (12.4%) zerosZeros
시설규모 has 74 (36.8%) zerosZeros

Reproduction

Analysis started2023-12-10 20:23:46.606503
Analysis finished2023-12-10 20:23:48.363991
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101
Minimum1
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:23:48.533325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q151
median101
Q3151
95-th percentile191
Maximum201
Range200
Interquartile range (IQR)100

Descriptive statistics

Standard deviation58.167861
Coefficient of variation (CV)0.57591941
Kurtosis-1.2
Mean101
Median Absolute Deviation (MAD)50
Skewness0
Sum20301
Variance3383.5
MonotonicityStrictly increasing
2023-12-11T05:23:48.868269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
139 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
종합여행업
201 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합여행업 201
100.0%

Length

2023-12-11T05:23:49.171148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:49.319216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 201
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
03_12_03_P
201 

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 201
100.0%

Length

2023-12-11T05:23:49.444793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:49.574128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 201
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436616.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:23:49.704699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3430000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation25228.902
Coefficient of variation (CV)0.007341203
Kurtosis-1.5905549
Mean3436616.9
Median Absolute Deviation (MAD)20000
Skewness0.2383196
Sum6.9076 × 108
Variance6.3649751 × 108
MonotonicityIncreasing
2023-12-11T05:23:49.890214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 71
35.3%
3460000 31
15.4%
3420000 28
 
13.9%
3470000 28
 
13.9%
3450000 22
 
10.9%
3440000 9
 
4.5%
3480000 9
 
4.5%
3430000 3
 
1.5%
ValueCountFrequency (%)
3410000 71
35.3%
3420000 28
 
13.9%
3430000 3
 
1.5%
3440000 9
 
4.5%
3450000 22
 
10.9%
3460000 31
15.4%
3470000 28
 
13.9%
3480000 9
 
4.5%
ValueCountFrequency (%)
3480000 9
 
4.5%
3470000 28
 
13.9%
3460000 31
15.4%
3450000 22
 
10.9%
3440000 9
 
4.5%
3430000 3
 
1.5%
3420000 28
 
13.9%
3410000 71
35.3%
Distinct95
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T05:23:50.207910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4020
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

Unique47 ?
Unique (%)23.4%

Sample

1st rowCDFI2260042017000001
2nd rowCDFI2260042018000005
3rd rowCDFI2260042017000007
4th rowCDFI2260042015000003
5th rowCDFI2260042015000004
ValueCountFrequency (%)
cdfi2260042021000001 7
 
3.5%
cdfi2260042022000001 6
 
3.0%
cdfi2260042016000001 6
 
3.0%
cdfi2260042017000002 6
 
3.0%
cdfi2260042022000002 5
 
2.5%
cdfi2260042020000001 5
 
2.5%
cdfi2260042020000002 5
 
2.5%
cdfi2260042019000001 5
 
2.5%
cdfi2260042016000002 5
 
2.5%
cdfi2260042018000001 5
 
2.5%
Other values (85) 146
72.6%
2023-12-11T05:23:50.746884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1638
40.7%
2 741
18.4%
6 240
 
6.0%
1 228
 
5.7%
4 225
 
5.6%
C 201
 
5.0%
D 201
 
5.0%
F 201
 
5.0%
I 201
 
5.0%
7 32
 
0.8%
Other values (4) 112
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3216
80.0%
Uppercase Letter 804
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1638
50.9%
2 741
23.0%
6 240
 
7.5%
1 228
 
7.1%
4 225
 
7.0%
7 32
 
1.0%
3 32
 
1.0%
9 27
 
0.8%
5 27
 
0.8%
8 26
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 201
25.0%
D 201
25.0%
F 201
25.0%
I 201
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3216
80.0%
Latin 804
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1638
50.9%
2 741
23.0%
6 240
 
7.5%
1 228
 
7.1%
4 225
 
7.0%
7 32
 
1.0%
3 32
 
1.0%
9 27
 
0.8%
5 27
 
0.8%
8 26
 
0.8%
Latin
ValueCountFrequency (%)
C 201
25.0%
D 201
25.0%
F 201
25.0%
I 201
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1638
40.7%
2 741
18.4%
6 240
 
6.0%
1 228
 
5.7%
4 225
 
5.6%
C 201
 
5.0%
D 201
 
5.0%
F 201
 
5.0%
I 201
 
5.0%
7 32
 
0.8%
Other values (4) 112
 
2.8%

인허가일자
Real number (ℝ)

Distinct193
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20161050
Minimum19981030
Maximum20220711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:23:51.013948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20090514
Q120140317
median20170105
Q320190514
95-th percentile20220420
Maximum20220711
Range239681
Interquartile range (IQR)50197

Descriptive statistics

Standard deviation42270.218
Coefficient of variation (CV)0.0020966277
Kurtosis1.4836045
Mean20161050
Median Absolute Deviation (MAD)21118
Skewness-0.9740051
Sum4.0523711 × 109
Variance1.7867713 × 109
MonotonicityNot monotonic
2023-12-11T05:23:51.203645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170105 2
 
1.0%
20160309 2
 
1.0%
20160817 2
 
1.0%
20160802 2
 
1.0%
20160607 2
 
1.0%
20211020 2
 
1.0%
20120110 2
 
1.0%
20170914 2
 
1.0%
20180629 1
 
0.5%
20180710 1
 
0.5%
Other values (183) 183
91.0%
ValueCountFrequency (%)
19981030 1
0.5%
20020530 1
0.5%
20050530 1
0.5%
20050817 1
0.5%
20050926 1
0.5%
20060220 1
0.5%
20060704 1
0.5%
20070830 1
0.5%
20080911 1
0.5%
20090506 1
0.5%
ValueCountFrequency (%)
20220711 1
0.5%
20220630 1
0.5%
20220603 1
0.5%
20220526 1
0.5%
20220525 1
0.5%
20220519 1
0.5%
20220516 1
0.5%
20220510 1
0.5%
20220503 1
0.5%
20220425 1
0.5%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
20191203
 
4
20191120
 
3
20190211
 
2
20120522
 
1

Length

Max length8
Median length4
Mean length4.2189055
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row20190211
2nd row20191203
3rd row<NA>
4th row20190211
5th row20191203

Common Values

ValueCountFrequency (%)
<NA> 190
94.5%
20191203 4
 
2.0%
20191120 3
 
1.5%
20190211 2
 
1.0%
20120522 1
 
0.5%
20141111 1
 
0.5%

Length

2023-12-11T05:23:51.387528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:51.626070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
94.5%
20191203 4
 
2.0%
20191120 3
 
1.5%
20190211 2
 
1.0%
20120522 1
 
0.5%
20141111 1
 
0.5%
Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
162 
3
27 
4
 
12

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 (%)
1 162
80.6%
3 27
 
13.4%
4 12
 
6.0%

Length

2023-12-11T05:23:51.821521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:51.999856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 162
80.6%
3 27
 
13.4%
4 12
 
6.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
162 
폐업
27 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length5.1343284
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 162
80.6%
폐업 27
 
13.4%
취소/말소/만료/정지/중지 12
 
6.0%

Length

2023-12-11T05:23:52.189199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:52.393637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 162
80.6%
폐업 27
 
13.4%
취소/말소/만료/정지/중지 12
 
6.0%
Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
162 
3
27 
31
 
12

Length

Max length2
Median length2
Mean length1.8656716
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 162
80.6%
3 27
 
13.4%
31 12
 
6.0%

Length

2023-12-11T05:23:52.639248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:52.855618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 162
80.6%
3 27
 
13.4%
31 12
 
6.0%
Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
162 
폐업
27 
등록취소
 
12

Length

Max length4
Median length3
Mean length2.9253731
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 162
80.6%
폐업 27
 
13.4%
등록취소 12
 
6.0%

Length

2023-12-11T05:23:53.062828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:53.403915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 162
80.6%
폐업 27
 
13.4%
등록취소 12
 
6.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing174
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean20174698
Minimum20110720
Maximum20220704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:23:53.681161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110720
5-th percentile20130365
Q120160416
median20180502
Q320200321
95-th percentile20210405
Maximum20220704
Range109984
Interquartile range (IQR)39904.5

Descriptive statistics

Standard deviation28649.926
Coefficient of variation (CV)0.0014200919
Kurtosis-0.44665784
Mean20174698
Median Absolute Deviation (MAD)20082
Skewness-0.5601764
Sum5.4471685 × 108
Variance8.2081827 × 108
MonotonicityNot monotonic
2023-12-11T05:23:54.111893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20170623 1
 
0.5%
20200702 1
 
0.5%
20170516 1
 
0.5%
20200725 1
 
0.5%
20200826 1
 
0.5%
20181220 1
 
0.5%
20200324 1
 
0.5%
20190725 1
 
0.5%
20170109 1
 
0.5%
20180228 1
 
0.5%
Other values (17) 17
 
8.5%
(Missing) 174
86.6%
ValueCountFrequency (%)
20110720 1
0.5%
20130301 1
0.5%
20130513 1
0.5%
20131114 1
0.5%
20141008 1
0.5%
20141121 1
0.5%
20160413 1
0.5%
20160420 1
0.5%
20170109 1
0.5%
20170516 1
0.5%
ValueCountFrequency (%)
20220704 1
0.5%
20210531 1
0.5%
20210112 1
0.5%
20200826 1
0.5%
20200725 1
0.5%
20200702 1
0.5%
20200324 1
0.5%
20200318 1
0.5%
20190725 1
0.5%
20190318 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

소재지전화
Text

MISSING 

Distinct131
Distinct (%)97.8%
Missing67
Missing (%)33.3%
Memory size1.7 KiB
2023-12-11T05:23:54.555331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.58209
Min length8

Characters and Unicode

Total characters1552
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

Unique128 ?
Unique (%)95.5%

Sample

1st row053-254-7475
2nd row053-252-5454
3rd row053-215-3355
4th row053-255-2779
5th row431-0077
ValueCountFrequency (%)
053 5
 
3.5%
327-2888 2
 
1.4%
053-216-6000 2
 
1.4%
053-215-3355 2
 
1.4%
053-215-1979 1
 
0.7%
053-770-5411 1
 
0.7%
053-745-4111 1
 
0.7%
053-951-5515 1
 
0.7%
2625 1
 
0.7%
0533418874 1
 
0.7%
Other values (127) 127
88.2%
2023-12-11T05:23:55.285105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
17.1%
5 235
15.1%
- 218
14.0%
3 177
11.4%
2 137
8.8%
4 108
7.0%
7 106
 
6.8%
1 87
 
5.6%
6 74
 
4.8%
8 73
 
4.7%
Other values (3) 71
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1323
85.2%
Dash Punctuation 218
 
14.0%
Space Separator 10
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
20.1%
5 235
17.8%
3 177
13.4%
2 137
10.4%
4 108
8.2%
7 106
 
8.0%
1 87
 
6.6%
6 74
 
5.6%
8 73
 
5.5%
9 60
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
17.1%
5 235
15.1%
- 218
14.0%
3 177
11.4%
2 137
8.8%
4 108
7.0%
7 106
 
6.8%
1 87
 
5.6%
6 74
 
4.8%
8 73
 
4.7%
Other values (3) 71
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
17.1%
5 235
15.1%
- 218
14.0%
3 177
11.4%
2 137
8.8%
4 108
7.0%
7 106
 
6.8%
1 87
 
5.6%
6 74
 
4.8%
8 73
 
4.7%
Other values (3) 71
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing167
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean702774.88
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:23:55.529618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700150
5-th percentile700264.5
Q1700422
median701787
Q3704905.5
95-th percentile706827.55
Maximum711861
Range11711
Interquartile range (IQR)4483.5

Descriptive statistics

Standard deviation2838.2615
Coefficient of variation (CV)0.0040386496
Kurtosis1.5505443
Mean702774.88
Median Absolute Deviation (MAD)1366
Skewness1.3122223
Sum23894346
Variance8055728.5
MonotonicityNot monotonic
2023-12-11T05:23:55.823248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
700421 4
 
2.0%
700422 3
 
1.5%
700411 1
 
0.5%
705020 1
 
0.5%
711861 1
 
0.5%
704808 1
 
0.5%
704938 1
 
0.5%
706722 1
 
0.5%
706836 1
 
0.5%
706803 1
 
0.5%
Other values (19) 19
 
9.5%
(Missing) 167
83.1%
ValueCountFrequency (%)
700150 1
 
0.5%
700180 1
 
0.5%
700310 1
 
0.5%
700411 1
 
0.5%
700421 4
2.0%
700422 3
1.5%
700715 1
 
0.5%
700719 1
 
0.5%
700826 1
 
0.5%
701742 1
 
0.5%
ValueCountFrequency (%)
711861 1
0.5%
706836 1
0.5%
706823 1
0.5%
706803 1
0.5%
706801 1
0.5%
706722 1
0.5%
705020 1
0.5%
705010 1
0.5%
704938 1
0.5%
704808 1
0.5%
Distinct185
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T05:23:56.418985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length23.850746
Min length13

Characters and Unicode

Total characters4794
Distinct characters217
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)86.1%

Sample

1st row대구광역시 중구 서문로1가 69-1번지
2nd row대구광역시 중구 동성로2가 88-25번지
3rd row대구광역시 중구 계산동1가 83-12 1층
4th row대구광역시 중구 동인동2가 108-17번지 3층
5th row대구광역시 중구 공평동 10-5
ValueCountFrequency (%)
대구광역시 201
 
21.4%
중구 71
 
7.6%
수성구 31
 
3.3%
달서구 28
 
3.0%
동구 28
 
3.0%
북구 22
 
2.3%
신천동 14
 
1.5%
동인동1가 11
 
1.2%
달성군 9
 
1.0%
남구 9
 
1.0%
Other values (357) 516
54.9%
2023-12-11T05:23:57.297902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
921
19.2%
414
 
8.6%
1 256
 
5.3%
239
 
5.0%
238
 
5.0%
208
 
4.3%
205
 
4.3%
203
 
4.2%
- 161
 
3.4%
2 140
 
2.9%
Other values (207) 1809
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2753
57.4%
Decimal Number 934
 
19.5%
Space Separator 921
 
19.2%
Dash Punctuation 161
 
3.4%
Uppercase Letter 14
 
0.3%
Other Punctuation 9
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
414
15.0%
239
 
8.7%
238
 
8.6%
208
 
7.6%
205
 
7.4%
203
 
7.4%
75
 
2.7%
63
 
2.3%
60
 
2.2%
60
 
2.2%
Other values (182) 988
35.9%
Decimal Number
ValueCountFrequency (%)
1 256
27.4%
2 140
15.0%
3 90
 
9.6%
0 79
 
8.5%
5 70
 
7.5%
8 69
 
7.4%
7 63
 
6.7%
9 63
 
6.7%
6 61
 
6.5%
4 43
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
14.3%
K 2
14.3%
A 2
14.3%
C 2
14.3%
S 1
7.1%
B 1
7.1%
Y 1
7.1%
I 1
7.1%
H 1
7.1%
L 1
7.1%
Space Separator
ValueCountFrequency (%)
921
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2753
57.4%
Common 2027
42.3%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
414
15.0%
239
 
8.7%
238
 
8.6%
208
 
7.6%
205
 
7.4%
203
 
7.4%
75
 
2.7%
63
 
2.3%
60
 
2.2%
60
 
2.2%
Other values (182) 988
35.9%
Common
ValueCountFrequency (%)
921
45.4%
1 256
 
12.6%
- 161
 
7.9%
2 140
 
6.9%
3 90
 
4.4%
0 79
 
3.9%
5 70
 
3.5%
8 69
 
3.4%
7 63
 
3.1%
9 63
 
3.1%
Other values (5) 115
 
5.7%
Latin
ValueCountFrequency (%)
T 2
14.3%
K 2
14.3%
A 2
14.3%
C 2
14.3%
S 1
7.1%
B 1
7.1%
Y 1
7.1%
I 1
7.1%
H 1
7.1%
L 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2753
57.4%
ASCII 2041
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
921
45.1%
1 256
 
12.5%
- 161
 
7.9%
2 140
 
6.9%
3 90
 
4.4%
0 79
 
3.9%
5 70
 
3.4%
8 69
 
3.4%
7 63
 
3.1%
9 63
 
3.1%
Other values (15) 129
 
6.3%
Hangul
ValueCountFrequency (%)
414
15.0%
239
 
8.7%
238
 
8.6%
208
 
7.6%
205
 
7.4%
203
 
7.4%
75
 
2.7%
63
 
2.3%
60
 
2.2%
60
 
2.2%
Other values (182) 988
35.9%
Distinct189
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T05:23:57.827291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length31.477612
Min length20

Characters and Unicode

Total characters6327
Distinct characters255
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 경상감영길 28 (서문로1가)
2nd row대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 1659호 (동성로2가)
3rd row대구광역시 중구 국채보상로102길 39, 1층 (계산동1가)
4th row대구광역시 중구 국채보상로 673, 3층 (동인동2가)
5th row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
ValueCountFrequency (%)
대구광역시 201
 
15.9%
중구 71
 
5.6%
수성구 31
 
2.5%
2층 31
 
2.5%
동구 28
 
2.2%
달서구 28
 
2.2%
북구 22
 
1.7%
3층 20
 
1.6%
국채보상로 15
 
1.2%
신천동 14
 
1.1%
Other values (478) 801
63.5%
2023-12-11T05:23:58.583604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1062
 
16.8%
431
 
6.8%
287
 
4.5%
266
 
4.2%
1 239
 
3.8%
212
 
3.4%
209
 
3.3%
204
 
3.2%
204
 
3.2%
( 195
 
3.1%
Other values (245) 3018
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3650
57.7%
Space Separator 1062
 
16.8%
Decimal Number 1009
 
15.9%
Open Punctuation 195
 
3.1%
Close Punctuation 195
 
3.1%
Other Punctuation 168
 
2.7%
Dash Punctuation 35
 
0.6%
Uppercase Letter 12
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
431
 
11.8%
287
 
7.9%
266
 
7.3%
212
 
5.8%
209
 
5.7%
204
 
5.6%
204
 
5.6%
95
 
2.6%
83
 
2.3%
81
 
2.2%
Other values (218) 1578
43.2%
Decimal Number
ValueCountFrequency (%)
1 239
23.7%
2 174
17.2%
5 101
10.0%
3 94
 
9.3%
0 86
 
8.5%
4 74
 
7.3%
6 68
 
6.7%
9 63
 
6.2%
7 58
 
5.7%
8 52
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
A 2
16.7%
K 1
8.3%
S 1
8.3%
B 1
8.3%
Y 1
8.3%
T 1
8.3%
I 1
8.3%
H 1
8.3%
L 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 167
99.4%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1062
100.0%
Open Punctuation
ValueCountFrequency (%)
( 195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3650
57.7%
Common 2665
42.1%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
431
 
11.8%
287
 
7.9%
266
 
7.3%
212
 
5.8%
209
 
5.7%
204
 
5.6%
204
 
5.6%
95
 
2.6%
83
 
2.3%
81
 
2.2%
Other values (218) 1578
43.2%
Common
ValueCountFrequency (%)
1062
39.8%
1 239
 
9.0%
( 195
 
7.3%
) 195
 
7.3%
2 174
 
6.5%
, 167
 
6.3%
5 101
 
3.8%
3 94
 
3.5%
0 86
 
3.2%
4 74
 
2.8%
Other values (7) 278
 
10.4%
Latin
ValueCountFrequency (%)
C 2
16.7%
A 2
16.7%
K 1
8.3%
S 1
8.3%
B 1
8.3%
Y 1
8.3%
T 1
8.3%
I 1
8.3%
H 1
8.3%
L 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3650
57.7%
ASCII 2676
42.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1062
39.7%
1 239
 
8.9%
( 195
 
7.3%
) 195
 
7.3%
2 174
 
6.5%
, 167
 
6.2%
5 101
 
3.8%
3 94
 
3.5%
0 86
 
3.2%
4 74
 
2.8%
Other values (16) 289
 
10.8%
Hangul
ValueCountFrequency (%)
431
 
11.8%
287
 
7.9%
266
 
7.3%
212
 
5.8%
209
 
5.7%
204
 
5.6%
204
 
5.6%
95
 
2.6%
83
 
2.3%
81
 
2.2%
Other values (218) 1578
43.2%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)70.2%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean68655.424
Minimum41033
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:23:58.777390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41033
5-th percentile41161.45
Q141879.75
median41940
Q342432.25
95-th percentile42948.95
Maximum706836
Range665803
Interquartile range (IQR)552.5

Descriptive statistics

Standard deviation130265.65
Coefficient of variation (CV)1.8973832
Kurtosis20.332348
Mean68655.424
Median Absolute Deviation (MAD)351
Skewness4.7038748
Sum13593774
Variance1.696914 × 1010
MonotonicityNot monotonic
2023-12-11T05:23:59.036245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 9
 
4.5%
41910 7
 
3.5%
41940 7
 
3.5%
41919 4
 
2.0%
42672 4
 
2.0%
41938 4
 
2.0%
41921 4
 
2.0%
41952 3
 
1.5%
42612 3
 
1.5%
41931 3
 
1.5%
Other values (129) 150
74.6%
ValueCountFrequency (%)
41033 1
0.5%
41061 1
0.5%
41068 1
0.5%
41084 1
0.5%
41091 1
0.5%
41117 2
1.0%
41121 1
0.5%
41145 1
0.5%
41147 1
0.5%
41164 1
0.5%
ValueCountFrequency (%)
706836 1
0.5%
702250 1
0.5%
701827 1
0.5%
701742 1
0.5%
700826 1
0.5%
700719 1
0.5%
700421 1
0.5%
700411 1
0.5%
43013 1
0.5%
42960 1
0.5%

사업장명
Text

UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T05:23:59.446720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.761194
Min length2

Characters and Unicode

Total characters1761
Distinct characters283
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)100.0%

Sample

1st row(주)세븐레이즈투어
2nd row(주)래디언트코리아
3rd row(주)와이제이 메디컬투어
4th row(주)국제럭셔리 여행사
5th row(주)스마일투어
ValueCountFrequency (%)
주식회사 32
 
11.9%
여행사 3
 
1.1%
투어 2
 
0.7%
인조이코리아 1
 
0.4%
주)그랜드관광 1
 
0.4%
제피러스 1
 
0.4%
주)거산투어여행사 1
 
0.4%
진미여행사 1
 
0.4%
주)새천년관광 1
 
0.4%
유성투어 1
 
0.4%
Other values (225) 225
83.6%
2023-12-11T05:23:59.947037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
8.9%
( 121
 
6.9%
) 121
 
6.9%
69
 
3.9%
68
 
3.9%
57
 
3.2%
57
 
3.2%
46
 
2.6%
45
 
2.6%
37
 
2.1%
Other values (273) 983
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1383
78.5%
Open Punctuation 121
 
6.9%
Close Punctuation 121
 
6.9%
Space Separator 68
 
3.9%
Uppercase Letter 54
 
3.1%
Other Punctuation 7
 
0.4%
Lowercase Letter 6
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
157
 
11.4%
69
 
5.0%
57
 
4.1%
57
 
4.1%
46
 
3.3%
45
 
3.3%
37
 
2.7%
36
 
2.6%
35
 
2.5%
34
 
2.5%
Other values (241) 810
58.6%
Uppercase Letter
ValueCountFrequency (%)
C 7
13.0%
T 7
13.0%
O 4
 
7.4%
N 4
 
7.4%
A 4
 
7.4%
R 4
 
7.4%
K 3
 
5.6%
I 3
 
5.6%
D 3
 
5.6%
U 3
 
5.6%
Other values (9) 12
22.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
16.7%
o 1
16.7%
d 1
16.7%
p 1
16.7%
a 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
78.5%
Common 318
 
18.1%
Latin 60
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
157
 
11.4%
69
 
5.0%
57
 
4.1%
57
 
4.1%
46
 
3.3%
45
 
3.3%
37
 
2.7%
36
 
2.6%
35
 
2.5%
34
 
2.5%
Other values (241) 810
58.6%
Latin
ValueCountFrequency (%)
C 7
 
11.7%
T 7
 
11.7%
O 4
 
6.7%
N 4
 
6.7%
A 4
 
6.7%
R 4
 
6.7%
K 3
 
5.0%
I 3
 
5.0%
D 3
 
5.0%
U 3
 
5.0%
Other values (15) 18
30.0%
Common
ValueCountFrequency (%)
( 121
38.1%
) 121
38.1%
68
21.4%
. 4
 
1.3%
, 2
 
0.6%
& 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
78.5%
ASCII 378
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
157
 
11.4%
69
 
5.0%
57
 
4.1%
57
 
4.1%
46
 
3.3%
45
 
3.3%
37
 
2.7%
36
 
2.6%
35
 
2.5%
34
 
2.5%
Other values (241) 810
58.6%
ASCII
ValueCountFrequency (%)
( 121
32.0%
) 121
32.0%
68
18.0%
C 7
 
1.9%
T 7
 
1.9%
O 4
 
1.1%
. 4
 
1.1%
N 4
 
1.1%
A 4
 
1.1%
R 4
 
1.1%
Other values (22) 34
 
9.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0204398 × 1013
Minimum2.011072 × 1013
Maximum2.022072 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:00.171012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0170516 × 1013
Q12.0200401 × 1013
median2.021061 × 1013
Q32.0220428 × 1013
95-th percentile2.0220713 × 1013
Maximum2.022072 × 1013
Range1.0999999 × 1011
Interquartile range (IQR)2.0027 × 1010

Descriptive statistics

Standard deviation2.0585331 × 1010
Coefficient of variation (CV)0.001018854
Kurtosis4.8365938
Mean2.0204398 × 1013
Median Absolute Deviation (MAD)9.8999617 × 109
Skewness-2.0473337
Sum4.061084 × 1015
Variance4.2375586 × 1020
MonotonicityNot monotonic
2023-12-11T05:24:00.660574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190211094739 1
 
0.5%
20200324153014 1
 
0.5%
20180511085000 1
 
0.5%
20220617164710 1
 
0.5%
20180710182234 1
 
0.5%
20210406172842 1
 
0.5%
20180831172137 1
 
0.5%
20210618134046 1
 
0.5%
20191127144216 1
 
0.5%
20181224142309 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
20110720181127 1
0.5%
20120706142721 1
0.5%
20130322160141 1
0.5%
20131114170927 1
0.5%
20140327170931 1
0.5%
20141008134220 1
0.5%
20141111172620 1
0.5%
20141121163021 1
0.5%
20160428132143 1
0.5%
20160509092745 1
0.5%
ValueCountFrequency (%)
20220720174217 1
0.5%
20220714131432 1
0.5%
20220713135559 1
0.5%
20220713135539 1
0.5%
20220713135515 1
0.5%
20220713135440 1
0.5%
20220713135359 1
0.5%
20220713135325 1
0.5%
20220713135257 1
0.5%
20220713135212 1
0.5%
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
U
156 
I
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 156
77.6%
I 45
 
22.4%

Length

2023-12-11T05:24:00.833423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:00.978012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 156
77.6%
i 45
 
22.4%
Distinct123
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-22 02:40:00
2023-12-11T05:24:01.142790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:24:01.374587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)84.8%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean343820.75
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:01.572940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335056.66
Q1341438.94
median344417.8
Q3346158.15
95-th percentile350826.43
Maximum356698.37
Range27657.577
Interquartile range (IQR)4719.2081

Descriptive statistics

Standard deviation4525.8644
Coefficient of variation (CV)0.013163442
Kurtosis1.3281409
Mean343820.75
Median Absolute Deviation (MAD)1966.3119
Skewness-0.13762879
Sum68076508
Variance20483448
MonotonicityNot monotonic
2023-12-11T05:24:01.752635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 6
 
3.0%
344643.136454 5
 
2.5%
343436.311606 4
 
2.0%
340608.886881 4
 
2.0%
343991.737064 4
 
2.0%
344417.802132 3
 
1.5%
343251.365403 3
 
1.5%
354462.208404 2
 
1.0%
345273.624155 2
 
1.0%
347037.24197 2
 
1.0%
Other values (158) 163
81.1%
(Missing) 3
 
1.5%
ValueCountFrequency (%)
329040.790333 1
0.5%
332426.0567 1
0.5%
332920.178553 1
0.5%
333408.567124 1
0.5%
334079.549213 1
0.5%
334084.759764 1
0.5%
334497.543059 1
0.5%
334621.225167 1
0.5%
334801.16433 1
0.5%
334873.400608 1
0.5%
ValueCountFrequency (%)
356698.367083 1
0.5%
356365.316953 1
0.5%
355939.362329 1
0.5%
355883.113907 1
0.5%
354570.439228 1
0.5%
354462.208404 2
1.0%
354375.109677 1
0.5%
353209.430185 1
0.5%
351259.69746 1
0.5%
350749.968249 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)84.8%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean263823.62
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:01.942651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258596.67
Q1262438.5
median264382.17
Q3264843.82
95-th percentile270565.37
Maximum274249.78
Range35246.979
Interquartile range (IQR)2405.3199

Descriptive statistics

Standard deviation3487.8315
Coefficient of variation (CV)0.013220315
Kurtosis13.423675
Mean263823.62
Median Absolute Deviation (MAD)1025.2333
Skewness-1.4951287
Sum52237077
Variance12164969
MonotonicityNot monotonic
2023-12-11T05:24:02.234934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 6
 
3.0%
264628.838876 5
 
2.5%
264601.46276 4
 
2.0%
262318.248215 4
 
2.0%
265000.0215 4
 
2.0%
264430.537922 3
 
1.5%
264520.837975 3
 
1.5%
264334.817637 2
 
1.0%
262886.177312 2
 
1.0%
265407.404337 2
 
1.0%
Other values (158) 163
81.1%
(Missing) 3
 
1.5%
ValueCountFrequency (%)
239002.806117 1
0.5%
255360.475912 1
0.5%
256334.726827 1
0.5%
256424.622904 1
0.5%
256715.567375 1
0.5%
256727.021497 1
0.5%
256876.0 1
0.5%
257551.807221 1
0.5%
257685.501182 1
0.5%
258317.904059 1
0.5%
ValueCountFrequency (%)
274249.784915 1
0.5%
273375.047803 1
0.5%
272735.67566 1
0.5%
272600.063881 1
0.5%
272431.249957 1
0.5%
271563.33218 1
0.5%
271486.362849 1
0.5%
271482.867326 1
0.5%
271184.176036 1
0.5%
270815.680515 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
종합여행업
201 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합여행업 201
100.0%

Length

2023-12-11T05:24:02.480199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:02.653774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 201
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
181 
일반주거지역
 
6
일반상업지역
 
3
근린상업지역
 
3
중심상업지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.1691542
Min length4

Unique

Unique4 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 181
90.0%
일반주거지역 6
 
3.0%
일반상업지역 3
 
1.5%
근린상업지역 3
 
1.5%
중심상업지역 2
 
1.0%
주거지역 2
 
1.0%
전용주거지역 1
 
0.5%
상업지역 1
 
0.5%
자연녹지지역 1
 
0.5%
일반공업지역 1
 
0.5%

Length

2023-12-11T05:24:02.851780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:03.165640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 181
90.0%
일반주거지역 6
 
3.0%
일반상업지역 3
 
1.5%
근린상업지역 3
 
1.5%
중심상업지역 2
 
1.0%
주거지역 2
 
1.0%
전용주거지역 1
 
0.5%
상업지역 1
 
0.5%
자연녹지지역 1
 
0.5%
일반공업지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)7.0%
Missing101
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.54
Minimum0
Maximum10
Zeros85
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:03.408346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6231905
Coefficient of variation (CV)3.0059084
Kurtosis18.303391
Mean0.54
Median Absolute Deviation (MAD)0
Skewness4.0048013
Sum54
Variance2.6347475
MonotonicityNot monotonic
2023-12-11T05:24:03.601877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 85
42.3%
2 4
 
2.0%
4 4
 
2.0%
3 3
 
1.5%
1 2
 
1.0%
10 1
 
0.5%
9 1
 
0.5%
(Missing) 101
50.2%
ValueCountFrequency (%)
0 85
42.3%
1 2
 
1.0%
2 4
 
2.0%
3 3
 
1.5%
4 4
 
2.0%
9 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
9 1
 
0.5%
4 4
 
2.0%
3 3
 
1.5%
2 4
 
2.0%
1 2
 
1.0%
0 85
42.3%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing196
Missing (%)97.5%
Memory size1.7 KiB
2023-12-11T05:24:03.804007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters25
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row주택가주변
2nd row주택가주변
3rd row기타
4th row학교정화(상대)
5th row주택가주변
ValueCountFrequency (%)
주택가주변 3
60.0%
기타 1
 
20.0%
학교정화(상대 1
 
20.0%
2023-12-11T05:24:04.268387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
24.0%
3
12.0%
3
12.0%
3
12.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
Other values (4) 4
16.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
92.0%
Open Punctuation 1
 
4.0%
Close Punctuation 1
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
3
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (2) 2
 
8.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
92.0%
Common 2
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
3
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (2) 2
 
8.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
92.0%
ASCII 2
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
3
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (2) 2
 
8.7%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

보험기관명
Text

MISSING 

Distinct67
Distinct (%)42.1%
Missing42
Missing (%)20.9%
Memory size1.7 KiB
2023-12-11T05:24:04.647994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.333333
Min length4

Characters and Unicode

Total characters1802
Distinct characters40
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)36.5%

Sample

1st row서울보증보험 750-81-01229
2nd row서울보증보험
3rd row한국관광협회중앙회
4th row서울보증보험 504-86-11037
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 73
33.2%
한국관광협회중앙회 19
 
8.6%
관광협회 19
 
8.6%
한국관광협회 14
 
6.4%
서울보증보험주식회사 13
 
5.9%
관광공제회 11
 
5.0%
여행공제회 7
 
3.2%
한국여행업협회 3
 
1.4%
서울보증보험(주 2
 
0.9%
서울보증 2
 
0.9%
Other values (57) 57
25.9%
2023-12-11T05:24:05.320220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
 
10.3%
112
 
6.2%
0 109
 
6.0%
- 106
 
5.9%
94
 
5.2%
94
 
5.2%
94
 
5.2%
92
 
5.1%
8 84
 
4.7%
1 70
 
3.9%
Other values (30) 761
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1088
60.4%
Decimal Number 539
29.9%
Dash Punctuation 106
 
5.9%
Space Separator 61
 
3.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
17.1%
112
10.3%
94
8.6%
94
8.6%
94
8.6%
92
8.5%
69
 
6.3%
68
 
6.2%
60
 
5.5%
36
 
3.3%
Other values (15) 183
16.8%
Decimal Number
ValueCountFrequency (%)
0 109
20.2%
8 84
15.6%
1 70
13.0%
5 53
9.8%
4 48
8.9%
2 46
8.5%
9 35
 
6.5%
6 32
 
5.9%
3 32
 
5.9%
7 30
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1088
60.4%
Common 714
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
17.1%
112
10.3%
94
8.6%
94
8.6%
94
8.6%
92
8.5%
69
 
6.3%
68
 
6.2%
60
 
5.5%
36
 
3.3%
Other values (15) 183
16.8%
Common
ValueCountFrequency (%)
0 109
15.3%
- 106
14.8%
8 84
11.8%
1 70
9.8%
61
8.5%
5 53
7.4%
4 48
6.7%
2 46
6.4%
9 35
 
4.9%
6 32
 
4.5%
Other values (5) 70
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1088
60.4%
ASCII 714
39.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
186
17.1%
112
10.3%
94
8.6%
94
8.6%
94
8.6%
92
8.5%
69
 
6.3%
68
 
6.2%
60
 
5.5%
36
 
3.3%
Other values (15) 183
16.8%
ASCII
ValueCountFrequency (%)
0 109
15.3%
- 106
14.8%
8 84
11.8%
1 70
9.8%
61
8.5%
5 53
7.4%
4 48
6.7%
2 46
6.4%
9 35
 
4.9%
6 32
 
4.5%
Other values (5) 70
9.8%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
182 
근린생활시설
 
9
사무실
 
9
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0447761
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 182
90.5%
근린생활시설 9
 
4.5%
사무실 9
 
4.5%
문화시설 1
 
0.5%

Length

2023-12-11T05:24:05.572492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:05.799278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 182
90.5%
근린생활시설 9
 
4.5%
사무실 9
 
4.5%
문화시설 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)9.0%
Missing101
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.62
Minimum0
Maximum13
Zeros84
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:05.972660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.05
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0139915
Coefficient of variation (CV)3.2483733
Kurtosis20.918231
Mean0.62
Median Absolute Deviation (MAD)0
Skewness4.3823176
Sum62
Variance4.0561616
MonotonicityNot monotonic
2023-12-11T05:24:06.188756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 84
41.8%
1 5
 
2.5%
3 4
 
2.0%
2 2
 
1.0%
10 1
 
0.5%
9 1
 
0.5%
5 1
 
0.5%
13 1
 
0.5%
4 1
 
0.5%
(Missing) 101
50.2%
ValueCountFrequency (%)
0 84
41.8%
1 5
 
2.5%
2 2
 
1.0%
3 4
 
2.0%
4 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
13 1
 
0.5%
10 1
 
0.5%
9 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 4
 
2.0%
2 2
 
1.0%
1 5
 
2.5%
0 84
41.8%

지하층수
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
109 
0
86 
1
 
5
2
 
1

Length

Max length4
Median length4
Mean length2.6268657
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
54.2%
0 86
42.8%
1 5
 
2.5%
2 1
 
0.5%

Length

2023-12-11T05:24:06.402405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:06.580218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
54.2%
0 86
42.8%
1 5
 
2.5%
2 1
 
0.5%

객실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:06.768049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:06.949503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

건축연면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:07.146077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:07.303186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

영문상호명
Text

MISSING 

Distinct90
Distinct (%)100.0%
Missing111
Missing (%)55.2%
Memory size1.7 KiB
2023-12-11T05:24:07.530434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.322222
Min length3

Characters and Unicode

Total characters1829
Distinct characters61
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st rowSEVENRAYS TOUR CO.,LTD
2nd rowRadiant Korea CO.,LTD
3rd rowYJ Medical Tour Co. Ltd
4th rowGUKJE LUXURY TOUR CO.,LTD
5th rowSMILE TOUR CO.,LTD
ValueCountFrequency (%)
tour 44
 
14.9%
co.,ltd 37
 
12.5%
co 27
 
9.2%
ltd 27
 
9.2%
travel 10
 
3.4%
korea 5
 
1.7%
express 4
 
1.4%
medi 4
 
1.4%
daegu 3
 
1.0%
air 3
 
1.0%
Other values (126) 131
44.4%
2023-12-11T05:24:08.052348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
11.3%
O 140
 
7.7%
T 133
 
7.3%
L 95
 
5.2%
C 89
 
4.9%
R 80
 
4.4%
. 78
 
4.3%
D 74
 
4.0%
E 73
 
4.0%
U 70
 
3.8%
Other values (51) 791
43.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1124
61.5%
Lowercase Letter 343
 
18.8%
Space Separator 206
 
11.3%
Other Punctuation 147
 
8.0%
Dash Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 47
13.7%
t 33
9.6%
e 33
9.6%
a 32
9.3%
r 31
9.0%
d 24
 
7.0%
n 22
 
6.4%
u 20
 
5.8%
i 18
 
5.2%
g 11
 
3.2%
Other values (15) 72
21.0%
Uppercase Letter
ValueCountFrequency (%)
O 140
12.5%
T 133
11.8%
L 95
 
8.5%
C 89
 
7.9%
R 80
 
7.1%
D 74
 
6.6%
E 73
 
6.5%
U 70
 
6.2%
A 65
 
5.8%
N 52
 
4.6%
Other values (14) 253
22.5%
Other Punctuation
ValueCountFrequency (%)
. 78
53.1%
, 63
42.9%
& 5
 
3.4%
' 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1467
80.2%
Common 362
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 140
 
9.5%
T 133
 
9.1%
L 95
 
6.5%
C 89
 
6.1%
R 80
 
5.5%
D 74
 
5.0%
E 73
 
5.0%
U 70
 
4.8%
A 65
 
4.4%
N 52
 
3.5%
Other values (39) 596
40.6%
Common
ValueCountFrequency (%)
206
56.9%
. 78
 
21.5%
, 63
 
17.4%
& 5
 
1.4%
- 3
 
0.8%
2 1
 
0.3%
' 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
 
11.3%
O 140
 
7.7%
T 133
 
7.3%
L 95
 
5.2%
C 89
 
4.9%
R 80
 
4.4%
. 78
 
4.3%
D 74
 
4.0%
E 73
 
4.0%
U 70
 
3.8%
Other values (51) 791
43.2%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
110 
General travel business
63 
General Travel Agency
 
11
Inbound Travel business
 
5
Inbound Travel Agency
 
4
Other values (8)
 
8

Length

Max length24
Median length4
Mean length12.38806
Min length4

Unique

Unique8 ?
Unique (%)4.0%

Sample

1st rowGeneral travel business
2nd rowGeneral travel business
3rd rowGeneral travel business
4th rowGeneral travel business
5th rowGeneral travel business

Common Values

ValueCountFrequency (%)
<NA> 110
54.7%
General travel business 63
31.3%
General Travel Agency 11
 
5.5%
Inbound Travel business 5
 
2.5%
Inbound Travel Agency 4
 
2.0%
Inbound travel business 1
 
0.5%
Domestic travel business 1
 
0.5%
GENERAL TRAVEL BUSINESS 1
 
0.5%
Inbound Travel Agent 1
 
0.5%
General Travel Business 1
 
0.5%
Other values (3) 3
 
1.5%

Length

2023-12-11T05:24:08.307477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 110
28.8%
travel 91
23.8%
general 77
20.2%
business 74
19.4%
agency 15
 
3.9%
inbound 12
 
3.1%
agent 2
 
0.5%
domestic 1
 
0.3%

선박총톤수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:08.600091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:08.784075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

선박척수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:08.974872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:09.144721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:09.326952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:09.516633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

좌석수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:09.694003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:09.861757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:10.030635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:10.159001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)29.9%
Missing94
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean195.47243
Minimum0
Maximum17749
Zeros74
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:10.306393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323.64
95-th percentile142.676
Maximum17749
Range17749
Interquartile range (IQR)23.64

Descriptive statistics

Standard deviation1714.8022
Coefficient of variation (CV)8.7726038
Kurtosis106.53102
Mean195.47243
Median Absolute Deviation (MAD)0
Skewness10.31085
Sum20915.55
Variance2940546.5
MonotonicityNot monotonic
2023-12-11T05:24:10.483503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 74
36.8%
20.0 3
 
1.5%
100.0 1
 
0.5%
70.06 1
 
0.5%
135.0 1
 
0.5%
143.36 1
 
0.5%
33.0 1
 
0.5%
50.0 1
 
0.5%
17749.0 1
 
0.5%
23.28 1
 
0.5%
Other values (22) 22
 
10.9%
(Missing) 94
46.8%
ValueCountFrequency (%)
0.0 74
36.8%
6.61 1
 
0.5%
16.5 1
 
0.5%
20.0 3
 
1.5%
23.28 1
 
0.5%
24.0 1
 
0.5%
27.25 1
 
0.5%
33.0 1
 
0.5%
35.11 1
 
0.5%
39.51 1
 
0.5%
ValueCountFrequency (%)
17749.0 1
0.5%
600.0 1
0.5%
376.0 1
0.5%
248.62 1
0.5%
216.0 1
0.5%
143.36 1
0.5%
141.08 1
0.5%
135.0 1
0.5%
120.0 1
0.5%
100.0 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
114 
0
87 

Length

Max length4
Median length4
Mean length2.7014925
Min length1

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> 114
56.7%
0 87
43.3%

Length

2023-12-11T05:24:10.675552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:24:10.826838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
56.7%
0 87
43.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)23.8%
Missing20
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean2.9012588 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros25
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:10.965805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11 × 108
median1.127026 × 108
Q32 × 108
95-th percentile5 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.314996 × 109
Coefficient of variation (CV)4.5325016
Kurtosis167.65906
Mean2.9012588 × 108
Median Absolute Deviation (MAD)87297400
Skewness12.735971
Sum5.2512784 × 1010
Variance1.7292145 × 1018
MonotonicityNot monotonic
2023-12-11T05:24:11.171371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
200000000 50
24.9%
100000000 40
19.9%
0 25
12.4%
50000000 12
 
6.0%
300000000 7
 
3.5%
350000000 7
 
3.5%
500000000 3
 
1.5%
250000000 2
 
1.0%
1632780554 1
 
0.5%
220000000 1
 
0.5%
Other values (33) 33
16.4%
(Missing) 20
 
10.0%
ValueCountFrequency (%)
0 25
12.4%
50000000 12
 
6.0%
50763792 1
 
0.5%
57498000 1
 
0.5%
91418784 1
 
0.5%
100000000 40
19.9%
100015658 1
 
0.5%
100203849 1
 
0.5%
100950374 1
 
0.5%
101342000 1
 
0.5%
ValueCountFrequency (%)
17555271330 1
 
0.5%
2000000000 1
 
0.5%
1632780554 1
 
0.5%
1396785920 1
 
0.5%
1100000000 1
 
0.5%
1000000000 1
 
0.5%
900000000 1
 
0.5%
624996480 1
 
0.5%
600612597 1
 
0.5%
500000000 3
1.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)94.1%
Missing31
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean20195694
Minimum20100517
Maximum20220817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:11.387180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150379
Q120190236
median20201114
Q320210720
95-th percentile20220522
Maximum20220817
Range120300
Interquartile range (IQR)20483.25

Descriptive statistics

Standard deviation24888.846
Coefficient of variation (CV)0.0012323838
Kurtosis2.2946454
Mean20195694
Median Absolute Deviation (MAD)9999
Skewness-1.5623559
Sum3.433268 × 109
Variance6.1945465 × 108
MonotonicityNot monotonic
2023-12-11T05:24:11.957576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220425 2
 
1.0%
20220328 2
 
1.0%
20211116 2
 
1.0%
20210618 2
 
1.0%
20210922 2
 
1.0%
20200309 2
 
1.0%
20210617 2
 
1.0%
20210808 2
 
1.0%
20210601 2
 
1.0%
20210413 2
 
1.0%
Other values (150) 150
74.6%
(Missing) 31
 
15.4%
ValueCountFrequency (%)
20100517 1
0.5%
20110101 1
0.5%
20111121 1
0.5%
20120319 1
0.5%
20130515 1
0.5%
20130917 1
0.5%
20131124 1
0.5%
20140726 1
0.5%
20150114 1
0.5%
20150703 1
0.5%
ValueCountFrequency (%)
20220817 1
0.5%
20220726 1
0.5%
20220718 1
0.5%
20220716 1
0.5%
20220706 1
0.5%
20220627 1
0.5%
20220610 1
0.5%
20220529 1
0.5%
20220526 1
0.5%
20220518 1
0.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)94.7%
Missing31
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean20206397
Minimum20110517
Maximum20230817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:12.160971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160378
Q120200374
median20211210
Q320220925
95-th percentile20230574
Maximum20230817
Range120300
Interquartile range (IQR)20550.75

Descriptive statistics

Standard deviation25227.21
Coefficient of variation (CV)0.0012484764
Kurtosis2.2197336
Mean20206397
Median Absolute Deviation (MAD)10233
Skewness-1.5416043
Sum3.4350875 × 109
Variance6.3641213 × 108
MonotonicityNot monotonic
2023-12-11T05:24:12.338081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 3
 
1.5%
20220617 3
 
1.5%
20220412 2
 
1.0%
20220808 2
 
1.0%
20221116 2
 
1.0%
20230424 2
 
1.0%
20220922 2
 
1.0%
20210404 1
 
0.5%
20200328 1
 
0.5%
20210824 1
 
0.5%
Other values (151) 151
75.1%
(Missing) 31
 
15.4%
ValueCountFrequency (%)
20110517 1
0.5%
20120101 1
0.5%
20121121 1
0.5%
20130319 1
0.5%
20140515 1
0.5%
20140916 1
0.5%
20141123 1
0.5%
20150725 1
0.5%
20160113 1
0.5%
20160703 1
0.5%
ValueCountFrequency (%)
20230817 1
0.5%
20230726 1
0.5%
20230718 1
0.5%
20230716 1
0.5%
20230706 1
0.5%
20230629 1
0.5%
20230627 1
0.5%
20230623 1
0.5%
20230610 1
0.5%
20230529 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing201
Missing (%)100.0%
Memory size1.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)27.1%
Missing94
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean195.47664
Minimum0
Maximum17749
Zeros74
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T05:24:12.512295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323.5
95-th percentile142.4
Maximum17749
Range17749
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation1714.8018
Coefficient of variation (CV)8.7724133
Kurtosis106.531
Mean195.47664
Median Absolute Deviation (MAD)0
Skewness10.310849
Sum20916
Variance2940545.4
MonotonicityNot monotonic
2023-12-11T05:24:12.694798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 74
36.8%
20 3
 
1.5%
70 2
 
1.0%
66 2
 
1.0%
86 2
 
1.0%
100 1
 
0.5%
600 1
 
0.5%
135 1
 
0.5%
143 1
 
0.5%
33 1
 
0.5%
Other values (19) 19
 
9.5%
(Missing) 94
46.8%
ValueCountFrequency (%)
0 74
36.8%
7 1
 
0.5%
17 1
 
0.5%
20 3
 
1.5%
23 1
 
0.5%
24 1
 
0.5%
27 1
 
0.5%
33 1
 
0.5%
35 1
 
0.5%
40 1
 
0.5%
ValueCountFrequency (%)
17749 1
0.5%
600 1
0.5%
376 1
0.5%
249 1
0.5%
216 1
0.5%
143 1
0.5%
141 1
0.5%
135 1
0.5%
120 1
0.5%
100 1
0.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01종합여행업03_12_03_P3410000CDFI226004201700000120170105201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 서문로1가 69-1번지대구광역시 중구 경상감영길 28 (서문로1가)41919(주)세븐레이즈투어20190211094739U2019-02-13 02:40:00.0<NA>343436.311606264601.46276종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>SEVENRAYS TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002017051520180514<NA><NA>
12종합여행업03_12_03_P3410000CDFI226004201800000520180523201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 88-25번지대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 1659호 (동성로2가)41937(주)래디언트코리아20191203133709U2019-12-06 02:40:00.0<NA>343959.823762264529.39356종합여행업<NA><NA><NA><NA><NA>서울보증보험 750-81-01229<NA><NA><NA><NA><NA>Radiant Korea CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002018052320190522<NA><NA>
23종합여행업03_12_03_P3410000CDFI226004201700000720130816<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동1가 83-12 1층대구광역시 중구 국채보상로102길 39, 1층 (계산동1가)41932(주)와이제이 메디컬투어20220629100728U2022-07-01 02:40:00.0<NA>343203.021711264341.249083종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>YJ Medical Tour Co. LtdGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002017081920180818<NA><NA>
34종합여행업03_12_03_P3410000CDFI226004201500000320150414201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-254-7475<NA>700422대구광역시 중구 동인동2가 108-17번지 3층대구광역시 중구 국채보상로 673, 3층 (동인동2가)41908(주)국제럭셔리 여행사20190211094315U2019-02-13 02:40:00.0<NA>344834.342272264443.735234종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA>GUKJE LUXURY TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002015072220160722<NA><NA>
45종합여행업03_12_03_P3410000CDFI226004201500000420151005201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-252-5454<NA><NA>대구광역시 중구 공평동 10-5대구광역시 중구 국채보상로125길 12, 3층 (공평동)41913(주)스마일투어20191203134208U2019-12-06 02:40:00.0<NA>344326.500069264598.47234종합여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-11037<NA><NA><NA><NA><NA>SMILE TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2010000002018050420190503<NA><NA>
56종합여행업03_12_03_P3410000CDFI226004201600000420160607201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-215-3355<NA><NA>대구광역시 중구 서문로2가 83번지대구광역시 중구 국채보상로 515, 2층 (서문로2가)41921효성메디투어(주)20191203135057U2019-12-06 02:40:00.0<NA>343251.365403264520.837975종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>HYOSUNG MEDI TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017060720180606<NA><NA>
67종합여행업03_12_03_P3410000CDFI226004200900000120090514201205224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-255-2779<NA>700719대구광역시 중구 삼덕동2가 210-1번지 진석타워 606호대구광역시 중구 동덕로 115, 606호 (삼덕동2가)700719(주)웰빙투어20120706142721I2018-08-31 23:59:59.0<NA>344686.259338263958.880864종합여행업<NA><NA><NA><NA><NA>관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002010051720110517<NA><NA>
78종합여행업03_12_03_P3410000CDFI226004201200000620120905<NA>3폐업3폐업20141008<NA><NA><NA>431-0077<NA>700411대구광역시 중구 삼덕동1가 35-11번지대구광역시 중구 동성로1길 77, 3층 (삼덕동1가)700411노블레스 메디투어20141008134220I2018-08-31 23:59:59.0<NA>344207.765758263970.616141종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NOBLESSE MEDI TOURInbound Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002013051520140515<NA><NA>
89종합여행업03_12_03_P3410000CDFI226004201200000720120919<NA>3폐업3폐업20170623<NA><NA><NA>053-427-0003<NA><NA>대구광역시 중구 공평동 90-1대구광역시 중구 국채보상로 627-1 (공평동)41913(주)동서여행20170623144146I2018-08-31 23:59:59.0<NA>344381.805923264537.742517종합여행업<NA><NA><NA><NA><NA>관광협회<NA><NA><NA><NA><NA>EASTWEST TOURS CO., LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002016112120171121<NA><NA>
910종합여행업03_12_03_P3410000CDFI226004201200000820121002<NA>3폐업3폐업20180502<NA><NA><NA>053-425-9668<NA>700421대구광역시 중구 동인동1가 238-2번지대구광역시 중구 경상감영길 273, 3층 (동인동1가)41911(주) 준트레블코리아20180502155413I2018-08-31 23:59:59.0<NA>344627.941806264621.91494종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>JOON TRAVEL KOREA CO., LTDInbound Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002016102620171025<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
191192종합여행업03_12_03_P3470000CDFI226004201500000120150429<NA>1영업/정상13영업중<NA><NA><NA><NA>053-242-2030<NA>704808대구광역시 달서구 상인동 171-1대구광역시 달서구 월배로 183 (상인동, 상인홈플러스)42781홈플러스투어(주)20220418131523U2022-04-20 02:40:00.0<NA>338508.03969258645.860959종합여행업<NA><NA>0<NA><NA>한국관광협회중앙회 여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>2000000002022043020230430<NA>0
192193종합여행업03_12_03_P3480000CDFI226004201100000120111220<NA>3폐업3폐업20200725<NA><NA><NA>053-216-6000<NA>711861대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938(주)투어스파밸리20200804100850U2020-08-06 02:40:00.0<NA>347783.240397255360.475912종합여행업<NA>자연녹지지역4<NA><NA>서울보증보험주식회사문화시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17749.0<NA><NA><NA><NA><NA><NA><NA><NA>175552713302015122020161220<NA>17749
193194종합여행업03_12_03_P3480000CDFI226004201600000220160420<NA>3폐업3폐업20170516<NA><NA><NA>053-782-1188<NA><NA>대구광역시 달성군 구지면 예현리 757-5번지대구광역시 달성군 구지면 달성2차동1로 19543013(주)한베투어20170516140503I2018-08-31 23:59:59.0<NA>329040.790333239002.806117종합여행업<NA>일반공업지역2기타<NA>서울보증보험주식회사사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002016042020170419<NA>50
194195종합여행업03_12_03_P3480000CDFI226004201600000320160218<NA>3폐업3폐업20200702<NA><NA><NA>053-581-0891<NA><NA>대구광역시 달성군 다사읍 매곡리 1539대구광역시 달성군 다사읍 대실역북로1길 6 (죽곡휴먼시아1단지)42914(주)참투어기획20200703085348U2020-07-05 02:40:00.0<NA>332426.0567263147.567587종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002016022220170221<NA>33
195196종합여행업03_12_03_P3480000CDFI226004201600000120160303<NA>1영업/정상13영업중<NA><NA><NA><NA>0536552000<NA><NA>대구광역시 달성군 화원읍 천내리 918번지 화원이진캐스빌 110동 203호대구광역시 달성군 화원읍 비슬로 2545, 110동 203호 (화원이진캐스빌)42947오성고속관광(주)20180306165637I2018-08-31 23:59:59.0<NA>335089.0256876.0종합여행업<NA>일반상업지역3학교정화(상대)<NA>대구광역시관광협회사무실3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>143.36<NA><NA><NA><NA><NA><NA><NA><NA>3500000002017030720180307<NA>143
196197종합여행업03_12_03_P3480000CDFI226004202100000120180508<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1667-2대구광역시 달성군 다사읍 세천북로 90, 덕광빌딩 3층 305호42922레모니홈20210402173257I2021-04-04 00:23:14.0<NA>332920.178553265158.227109종합여행업<NA><NA><NA><NA><NA>서울보증보험 579-21-00632<NA><NA><NA><NA><NA>LEMONY HOMEGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000000002019081920200818<NA><NA>
197198종합여행업03_12_03_P3480000CDFI226004201800000120130528<NA>1영업/정상13영업중<NA><NA><NA><NA>0535279300<NA><NA>대구광역시 달성군 화원읍 설화리 496-4번지대구광역시 달성군 화원읍 성화로 8942945(주)신세계관광20190620172429U2019-06-22 02:40:00.0<NA>334079.549213256424.622904종합여행업<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>2000000002019060320200602<NA><NA>
198199종합여행업03_12_03_P3480000CDFI226004202200000120220405<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7277<NA><NA>대구광역시 달성군 가창면 용계리 565-80대구광역시 달성군 가창면 가창로213길 3642936주식회사 미미20220406142056I2022-04-08 00:22:34.0<NA>346575.931478256715.567375종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0135.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>135
199200종합여행업03_12_03_P3480000CDFI226004202000000120200928<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4333-0430<NA><NA>대구광역시 달성군 화원읍 성산리 526대구광역시 달성군 화원읍 비슬로495길 2742946(주)네바퀴물류20211020131837U2021-10-22 02:40:00.0<NA>334497.543059256727.021497종합여행업<NA>일반주거지역1주택가주변<NA><NA>근린생활시설<NA><NA><NA><NA>IAN GLOBALTravel Agent<NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>102500000<NA><NA><NA>20
200201종합여행업03_12_03_P3480000CDFI226004201700000220151102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명곡리 220 명곡역미래빌5단지(상가동) 201호대구광역시 달성군 화원읍 명천로 243, 상가동 2층 201호 (명곡역미래빌5단지)42960주식회사 여행트렁크20210626092240U2021-06-29 02:40:00.0<NA>334873.400608256334.726827종합여행업<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>2000000002015111620161115<NA><NA>