Overview

Dataset statistics

Number of variables63
Number of observations200
Missing cells4676
Missing cells (%)37.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.4 KiB
Average record size in memory549.6 B

Variable types

Numeric16
Categorical21
Text8
Unsupported17
DateTime1

Dataset

Description22년06월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093913&dataSetDetailId=DDI_0000093920&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (83.6%)Imbalance
지역구분명 is highly imbalanced (78.3%)Imbalance
건물용도명 is highly imbalanced (72.5%)Imbalance
영문상호주소 is highly imbalanced (51.9%)Imbalance
폐업일자 has 174 (87.0%) missing valuesMissing
휴업시작일자 has 200 (100.0%) missing valuesMissing
휴업종료일자 has 200 (100.0%) missing valuesMissing
재개업일자 has 200 (100.0%) missing valuesMissing
소재지전화 has 67 (33.5%) missing valuesMissing
소재지면적 has 200 (100.0%) missing valuesMissing
소재지우편번호 has 166 (83.0%) missing valuesMissing
도로명우편번호 has 3 (1.5%) missing valuesMissing
업태구분명 has 200 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.5%) missing valuesMissing
좌표정보(Y) has 3 (1.5%) missing valuesMissing
문화사업자구분명 has 200 (100.0%) missing valuesMissing
총층수 has 111 (55.5%) missing valuesMissing
주변환경명 has 196 (98.0%) missing valuesMissing
제작취급품목내용 has 200 (100.0%) missing valuesMissing
보험기관명 has 42 (21.0%) missing valuesMissing
지상층수 has 111 (55.5%) missing valuesMissing
영문상호명 has 111 (55.5%) missing valuesMissing
선박제원 has 200 (100.0%) missing valuesMissing
기념품종류 has 200 (100.0%) missing valuesMissing
시설면적 has 103 (51.5%) missing valuesMissing
놀이기구수내역 has 200 (100.0%) missing valuesMissing
방송시설유무 has 200 (100.0%) missing valuesMissing
발전시설유무 has 200 (100.0%) missing valuesMissing
의무실유무 has 200 (100.0%) missing valuesMissing
안내소유무 has 200 (100.0%) missing valuesMissing
기획여행보험시작일자 has 200 (100.0%) missing valuesMissing
기획여행보험종료일자 has 200 (100.0%) missing valuesMissing
자본금 has 21 (10.5%) missing valuesMissing
보험시작일자 has 31 (15.5%) missing valuesMissing
보험종료일자 has 31 (15.5%) missing valuesMissing
부대시설내역 has 200 (100.0%) missing valuesMissing
시설규모 has 103 (51.5%) 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 74 (37.0%) zerosZeros
지상층수 has 73 (36.5%) zerosZeros
시설면적 has 65 (32.5%) zerosZeros
자본금 has 24 (12.0%) zerosZeros
시설규모 has 65 (32.5%) zerosZeros

Reproduction

Analysis started2024-04-21 19:51:17.742143
Analysis finished2024-04-21 19:51:19.178600
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:19.376492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.95
Q150.75
median100.5
Q3150.25
95-th percentile190.05
Maximum200
Range199
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation57.879185
Coefficient of variation (CV)0.57591228
Kurtosis-1.2
Mean100.5
Median Absolute Deviation (MAD)50
Skewness0
Sum20100
Variance3350
MonotonicityStrictly increasing
2024-04-22T04:51:19.833903image/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 (190) 190
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 (%)
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%
191 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
종합여행업
200 

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 200
100.0%

Length

2024-04-22T04:51:20.253245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:20.557567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 200
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
03_12_03_P
200 

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 200
100.0%

Length

2024-04-22T04:51:20.875984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:21.184579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 200
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436400
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:21.471720image/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 deviation25143.608
Coefficient of variation (CV)0.0073168454
Kurtosis-1.5744145
Mean3436400
Median Absolute Deviation (MAD)20000
Skewness0.25292148
Sum6.8728 × 108
Variance6.3220101 × 108
MonotonicityIncreasing
2024-04-22T04:51:21.848848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 71
35.5%
3460000 30
15.0%
3420000 28
 
14.0%
3470000 27
 
13.5%
3450000 23
 
11.5%
3440000 9
 
4.5%
3480000 9
 
4.5%
3430000 3
 
1.5%
ValueCountFrequency (%)
3410000 71
35.5%
3420000 28
 
14.0%
3430000 3
 
1.5%
3440000 9
 
4.5%
3450000 23
 
11.5%
3460000 30
15.0%
3470000 27
 
13.5%
3480000 9
 
4.5%
ValueCountFrequency (%)
3480000 9
 
4.5%
3470000 27
 
13.5%
3460000 30
15.0%
3450000 23
 
11.5%
3440000 9
 
4.5%
3430000 3
 
1.5%
3420000 28
 
14.0%
3410000 71
35.5%
Distinct95
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T04:51:22.596221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4000
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 (%)23.5%

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%
cdfi2260042018000001 5
 
2.5%
cdfi2260042016000002 5
 
2.5%
Other values (85) 145
72.5%
2024-04-22T04:51:23.714403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1630
40.8%
2 734
18.4%
6 239
 
6.0%
1 229
 
5.7%
4 225
 
5.6%
C 200
 
5.0%
D 200
 
5.0%
F 200
 
5.0%
I 200
 
5.0%
7 32
 
0.8%
Other values (4) 111
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3200
80.0%
Uppercase Letter 800
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1630
50.9%
2 734
22.9%
6 239
 
7.5%
1 229
 
7.2%
4 225
 
7.0%
7 32
 
1.0%
3 31
 
1.0%
8 27
 
0.8%
9 27
 
0.8%
5 26
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 200
25.0%
D 200
25.0%
F 200
25.0%
I 200
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3200
80.0%
Latin 800
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1630
50.9%
2 734
22.9%
6 239
 
7.5%
1 229
 
7.2%
4 225
 
7.0%
7 32
 
1.0%
3 31
 
1.0%
8 27
 
0.8%
9 27
 
0.8%
5 26
 
0.8%
Latin
ValueCountFrequency (%)
C 200
25.0%
D 200
25.0%
F 200
25.0%
I 200
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1630
40.8%
2 734
18.4%
6 239
 
6.0%
1 229
 
5.7%
4 225
 
5.6%
C 200
 
5.0%
D 200
 
5.0%
F 200
 
5.0%
I 200
 
5.0%
7 32
 
0.8%
Other values (4) 111
 
2.8%

인허가일자
Real number (ℝ)

Distinct192
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20160752
Minimum19981030
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:24.135407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20090514
Q120140292
median20165610
Q320190510
95-th percentile20220419
Maximum20220630
Range239600
Interquartile range (IQR)50218.25

Descriptive statistics

Standard deviation42163.66
Coefficient of variation (CV)0.0020913734
Kurtosis1.5036678
Mean20160752
Median Absolute Deviation (MAD)25247
Skewness-0.97933029
Sum4.0321504 × 109
Variance1.7777742 × 109
MonotonicityNot monotonic
2024-04-22T04:51:24.572642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170105 2
 
1.0%
20120110 2
 
1.0%
20211020 2
 
1.0%
20160802 2
 
1.0%
20160309 2
 
1.0%
20170914 2
 
1.0%
20160817 2
 
1.0%
20160607 2
 
1.0%
20180508 1
 
0.5%
20150313 1
 
0.5%
Other values (182) 182
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 (%)
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%
20220420 1
0.5%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
189 
20191203
 
4
20191120
 
3
20190211
 
2
20120522
 
1

Length

Max length8
Median length4
Mean length4.22
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 189
94.5%
20191203 4
 
2.0%
20191120 3
 
1.5%
20190211 2
 
1.0%
20120522 1
 
0.5%
20141111 1
 
0.5%

Length

2024-04-22T04:51:25.017987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:25.385844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
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
26 
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
81.0%
3 26
 
13.0%
4 12
 
6.0%

Length

2024-04-22T04:51:25.751716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:26.065459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 162
81.0%
3 26
 
13.0%
4 12
 
6.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
162 
폐업
26 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length5.15
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
81.0%
폐업 26
 
13.0%
취소/말소/만료/정지/중지 12
 
6.0%

Length

2024-04-22T04:51:26.440602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:26.779587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 162
81.0%
폐업 26
 
13.0%
취소/말소/만료/정지/중지 12
 
6.0%
Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
162 
3
26 
31
 
12

Length

Max length2
Median length2
Mean length1.87
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 162
81.0%
3 26
 
13.0%
31 12
 
6.0%

Length

2024-04-22T04:51:27.151696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:27.484598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 162
81.0%
3 26
 
13.0%
31 12
 
6.0%
Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
162 
폐업
26 
등록취소
 
12

Length

Max length4
Median length3
Mean length2.93
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 162
81.0%
폐업 26
 
13.0%
등록취소 12
 
6.0%

Length

2024-04-22T04:51:27.873001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:28.226959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 162
81.0%
폐업 26
 
13.0%
등록취소 12
 
6.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing174
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean20172929
Minimum20110720
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:28.561921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110720
5-th percentile20130354
Q120160415
median20180365
Q320197920
95-th percentile20207790
Maximum20210531
Range99811
Interquartile range (IQR)37505

Descriptive statistics

Standard deviation27671.896
Coefficient of variation (CV)0.0013717342
Kurtosis-0.47060801
Mean20172929
Median Absolute Deviation (MAD)19952.5
Skewness-0.63957949
Sum5.2449615 × 108
Variance7.6573381 × 108
MonotonicityNot monotonic
2024-04-22T04:51:28.950461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20130513 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 (16) 16
 
8.0%
(Missing) 174
87.0%
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 (%)
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%
20181220 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

소재지전화
Text

MISSING 

Distinct130
Distinct (%)97.7%
Missing67
Missing (%)33.5%
Memory size1.7 KiB
2024-04-22T04:51:29.754617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.428571
Min length8

Characters and Unicode

Total characters1520
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

Unique127 ?
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 10
 
6.8%
053-216-6000 2
 
1.4%
327-2888 2
 
1.4%
053-215-3355 2
 
1.4%
053-621-4001 1
 
0.7%
053-639-7875 1
 
0.7%
053-746-8007 1
 
0.7%
053-474-0088 1
 
0.7%
5055 1
 
0.7%
714 1
 
0.7%
Other values (126) 126
85.1%
2024-04-22T04:51:30.951399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 258
17.0%
5 232
15.3%
- 192
12.6%
3 179
11.8%
2 137
9.0%
4 107
7.0%
7 105
6.9%
1 87
 
5.7%
6 74
 
4.9%
8 74
 
4.9%
Other values (3) 75
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1312
86.3%
Dash Punctuation 192
 
12.6%
Space Separator 15
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 258
19.7%
5 232
17.7%
3 179
13.6%
2 137
10.4%
4 107
8.2%
7 105
8.0%
1 87
 
6.6%
6 74
 
5.6%
8 74
 
5.6%
9 59
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 258
17.0%
5 232
15.3%
- 192
12.6%
3 179
11.8%
2 137
9.0%
4 107
7.0%
7 105
6.9%
1 87
 
5.7%
6 74
 
4.9%
8 74
 
4.9%
Other values (3) 75
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 258
17.0%
5 232
15.3%
- 192
12.6%
3 179
11.8%
2 137
9.0%
4 107
7.0%
7 105
6.9%
1 87
 
5.7%
6 74
 
4.9%
8 74
 
4.9%
Other values (3) 75
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing166
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean702774.88
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:31.336018image/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
2024-04-22T04:51:31.976956image/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) 166
83.0%
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%
Distinct186
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T04:51:33.411198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length23.775
Min length13

Characters and Unicode

Total characters4755
Distinct characters214
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

Unique174 ?
Unique (%)87.0%

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 200
 
21.5%
중구 71
 
7.6%
수성구 30
 
3.2%
동구 28
 
3.0%
달서구 27
 
2.9%
북구 23
 
2.5%
신천동 14
 
1.5%
동인동1가 11
 
1.2%
달성군 9
 
1.0%
남구 9
 
1.0%
Other values (354) 510
54.7%
2024-04-22T04:51:35.286020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
19.2%
411
 
8.6%
1 256
 
5.4%
238
 
5.0%
236
 
5.0%
206
 
4.3%
203
 
4.3%
202
 
4.2%
- 161
 
3.4%
2 141
 
3.0%
Other values (204) 1787
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2727
57.4%
Decimal Number 928
 
19.5%
Space Separator 914
 
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 (%)
411
15.1%
238
 
8.7%
236
 
8.7%
206
 
7.6%
203
 
7.4%
202
 
7.4%
75
 
2.8%
62
 
2.3%
62
 
2.3%
60
 
2.2%
Other values (179) 972
35.6%
Decimal Number
ValueCountFrequency (%)
1 256
27.6%
2 141
15.2%
3 90
 
9.7%
0 78
 
8.4%
8 67
 
7.2%
5 66
 
7.1%
9 63
 
6.8%
7 62
 
6.7%
6 61
 
6.6%
4 44
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
14.3%
A 2
14.3%
C 2
14.3%
T 2
14.3%
S 1
7.1%
I 1
7.1%
Y 1
7.1%
B 1
7.1%
H 1
7.1%
L 1
7.1%
Space Separator
ValueCountFrequency (%)
914
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 2727
57.4%
Common 2014
42.4%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
411
15.1%
238
 
8.7%
236
 
8.7%
206
 
7.6%
203
 
7.4%
202
 
7.4%
75
 
2.8%
62
 
2.3%
62
 
2.3%
60
 
2.2%
Other values (179) 972
35.6%
Common
ValueCountFrequency (%)
914
45.4%
1 256
 
12.7%
- 161
 
8.0%
2 141
 
7.0%
3 90
 
4.5%
0 78
 
3.9%
8 67
 
3.3%
5 66
 
3.3%
9 63
 
3.1%
7 62
 
3.1%
Other values (5) 116
 
5.8%
Latin
ValueCountFrequency (%)
K 2
14.3%
A 2
14.3%
C 2
14.3%
T 2
14.3%
S 1
7.1%
I 1
7.1%
Y 1
7.1%
B 1
7.1%
H 1
7.1%
L 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2727
57.4%
ASCII 2028
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
914
45.1%
1 256
 
12.6%
- 161
 
7.9%
2 141
 
7.0%
3 90
 
4.4%
0 78
 
3.8%
8 67
 
3.3%
5 66
 
3.3%
9 63
 
3.1%
7 62
 
3.1%
Other values (15) 130
 
6.4%
Hangul
ValueCountFrequency (%)
411
15.1%
238
 
8.7%
236
 
8.7%
206
 
7.6%
203
 
7.4%
202
 
7.4%
75
 
2.8%
62
 
2.3%
62
 
2.3%
60
 
2.2%
Other values (179) 972
35.6%
Distinct189
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T04:51:36.421519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length31.375
Min length20

Characters and Unicode

Total characters6275
Distinct characters252
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 (%)91.0%

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 200
 
15.9%
중구 71
 
5.7%
2층 32
 
2.6%
수성구 30
 
2.4%
동구 28
 
2.2%
달서구 27
 
2.2%
북구 23
 
1.8%
3층 20
 
1.6%
국채보상로 15
 
1.2%
1층 14
 
1.1%
Other values (476) 794
63.3%
2024-04-22T04:51:38.005625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1055
 
16.8%
427
 
6.8%
286
 
4.6%
263
 
4.2%
1 240
 
3.8%
210
 
3.3%
207
 
3.3%
203
 
3.2%
203
 
3.2%
) 194
 
3.1%
Other values (242) 2987
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3613
57.6%
Space Separator 1055
 
16.8%
Decimal Number 1004
 
16.0%
Close Punctuation 194
 
3.1%
Open Punctuation 194
 
3.1%
Other Punctuation 167
 
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 (%)
427
 
11.8%
286
 
7.9%
263
 
7.3%
210
 
5.8%
207
 
5.7%
203
 
5.6%
203
 
5.6%
96
 
2.7%
83
 
2.3%
80
 
2.2%
Other values (215) 1555
43.0%
Decimal Number
ValueCountFrequency (%)
1 240
23.9%
2 175
17.4%
5 100
10.0%
3 94
 
9.4%
0 84
 
8.4%
4 72
 
7.2%
6 68
 
6.8%
9 62
 
6.2%
7 58
 
5.8%
8 51
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
16.7%
C 2
16.7%
I 1
8.3%
T 1
8.3%
Y 1
8.3%
S 1
8.3%
K 1
8.3%
L 1
8.3%
H 1
8.3%
B 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 166
99.4%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3613
57.6%
Common 2650
42.2%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
427
 
11.8%
286
 
7.9%
263
 
7.3%
210
 
5.8%
207
 
5.7%
203
 
5.6%
203
 
5.6%
96
 
2.7%
83
 
2.3%
80
 
2.2%
Other values (215) 1555
43.0%
Common
ValueCountFrequency (%)
1055
39.8%
1 240
 
9.1%
) 194
 
7.3%
( 194
 
7.3%
2 175
 
6.6%
, 166
 
6.3%
5 100
 
3.8%
3 94
 
3.5%
0 84
 
3.2%
4 72
 
2.7%
Other values (7) 276
 
10.4%
Latin
ValueCountFrequency (%)
A 2
16.7%
C 2
16.7%
I 1
8.3%
T 1
8.3%
Y 1
8.3%
S 1
8.3%
K 1
8.3%
L 1
8.3%
H 1
8.3%
B 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3613
57.6%
ASCII 2661
42.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1055
39.6%
1 240
 
9.0%
) 194
 
7.3%
( 194
 
7.3%
2 175
 
6.6%
, 166
 
6.2%
5 100
 
3.8%
3 94
 
3.5%
0 84
 
3.2%
4 72
 
2.7%
Other values (16) 287
 
10.8%
Hangul
ValueCountFrequency (%)
427
 
11.8%
286
 
7.9%
263
 
7.3%
210
 
5.8%
207
 
5.7%
203
 
5.6%
203
 
5.6%
96
 
2.7%
83
 
2.3%
80
 
2.2%
Other values (215) 1555
43.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)70.6%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean68784.614
Minimum41033
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:38.398762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41033
5-th percentile41160.6
Q141833
median41938
Q342430
95-th percentile42949.6
Maximum706836
Range665803
Interquartile range (IQR)597

Descriptive statistics

Standard deviation130584.84
Coefficient of variation (CV)1.8984601
Kurtosis20.207141
Mean68784.614
Median Absolute Deviation (MAD)353
Skewness4.690572
Sum13550569
Variance1.7052401 × 1010
MonotonicityNot monotonic
2024-04-22T04:51:38.829835image/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%
41938 4
 
2.0%
41921 4
 
2.0%
41952 3
 
1.5%
42612 3
 
1.5%
42672 3
 
1.5%
41931 3
 
1.5%
Other values (129) 150
75.0%
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 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T04:51:39.696665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.76
Min length2

Characters and Unicode

Total characters1752
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

Unique200 ?
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%
주)덱스코 1
 
0.4%
주)스마일관광 1
 
0.4%
주)대진고속관광 1
 
0.4%
주)그랜드관광 1
 
0.4%
넥서스투어 1
 
0.4%
주)예투어 1
 
0.4%
제피러스 1
 
0.4%
Other values (224) 224
83.6%
2024-04-22T04:51:40.984650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
8.9%
( 120
 
6.8%
) 120
 
6.8%
69
 
3.9%
68
 
3.9%
57
 
3.3%
56
 
3.2%
46
 
2.6%
45
 
2.6%
37
 
2.1%
Other values (273) 978
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1376
78.5%
Open Punctuation 120
 
6.8%
Close Punctuation 120
 
6.8%
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 (%)
156
 
11.3%
69
 
5.0%
57
 
4.1%
56
 
4.1%
46
 
3.3%
45
 
3.3%
37
 
2.7%
36
 
2.6%
35
 
2.5%
34
 
2.5%
Other values (241) 805
58.5%
Uppercase Letter
ValueCountFrequency (%)
T 7
13.0%
C 7
13.0%
N 4
 
7.4%
R 4
 
7.4%
A 4
 
7.4%
O 4
 
7.4%
K 3
 
5.6%
D 3
 
5.6%
U 3
 
5.6%
L 3
 
5.6%
Other values (9) 12
22.2%
Lowercase Letter
ValueCountFrequency (%)
d 1
16.7%
t 1
16.7%
o 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 (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1376
78.5%
Common 316
 
18.0%
Latin 60
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
156
 
11.3%
69
 
5.0%
57
 
4.1%
56
 
4.1%
46
 
3.3%
45
 
3.3%
37
 
2.7%
36
 
2.6%
35
 
2.5%
34
 
2.5%
Other values (241) 805
58.5%
Latin
ValueCountFrequency (%)
T 7
 
11.7%
C 7
 
11.7%
N 4
 
6.7%
R 4
 
6.7%
A 4
 
6.7%
O 4
 
6.7%
K 3
 
5.0%
D 3
 
5.0%
U 3
 
5.0%
L 3
 
5.0%
Other values (15) 18
30.0%
Common
ValueCountFrequency (%)
( 120
38.0%
) 120
38.0%
68
21.5%
. 4
 
1.3%
, 2
 
0.6%
& 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1376
78.5%
ASCII 376
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
156
 
11.3%
69
 
5.0%
57
 
4.1%
56
 
4.1%
46
 
3.3%
45
 
3.3%
37
 
2.7%
36
 
2.6%
35
 
2.5%
34
 
2.5%
Other values (241) 805
58.5%
ASCII
ValueCountFrequency (%)
( 120
31.9%
) 120
31.9%
68
18.1%
T 7
 
1.9%
C 7
 
1.9%
N 4
 
1.1%
R 4
 
1.1%
A 4
 
1.1%
O 4
 
1.1%
. 4
 
1.1%
Other values (22) 34
 
9.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.020317 × 1013
Minimum2.011072 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:41.410920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0170016 × 1013
Q12.0200323 × 1013
median2.0210528 × 1013
Q32.0220109 × 1013
95-th percentile2.0220603 × 1013
Maximum2.022063 × 1013
Range1.0990996 × 1011
Interquartile range (IQR)1.9786516 × 1010

Descriptive statistics

Standard deviation2.0150434 × 1010
Coefficient of variation (CV)0.0009973897
Kurtosis5.0157896
Mean2.020317 × 1013
Median Absolute Deviation (MAD)9.8084364 × 109
Skewness-2.0680665
Sum4.040634 × 1015
Variance4.0603998 × 1020
MonotonicityNot monotonic
2024-04-22T04:51:41.860186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190211094739 1
 
0.5%
20190725154439 1
 
0.5%
20180511085000 1
 
0.5%
20180611164206 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%
Other values (190) 190
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 (%)
20220630145256 1
0.5%
20220630102514 1
0.5%
20220629100728 1
0.5%
20220623095949 1
0.5%
20220621092740 1
0.5%
20220617165155 1
0.5%
20220617164710 1
0.5%
20220614090727 1
0.5%
20220608162438 1
0.5%
20220607132313 1
0.5%
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
U
151 
I
49 

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 151
75.5%
I 49
 
24.5%

Length

2024-04-22T04:51:42.260680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:42.568313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 151
75.5%
i 49
 
24.5%
Distinct129
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-22T04:51:42.905194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:51:43.346188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)85.3%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean343821.75
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:43.744551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335045.88
Q1341503.2
median344417.8
Q3346146.1
95-th percentile350851.91
Maximum356698.37
Range27657.577
Interquartile range (IQR)4642.8965

Descriptive statistics

Standard deviation4527.0438
Coefficient of variation (CV)0.013166834
Kurtosis1.3442924
Mean343821.75
Median Absolute Deviation (MAD)1851.424
Skewness-0.13834151
Sum67732884
Variance20494125
MonotonicityNot monotonic
2024-04-22T04:51:44.167477image/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%
343991.737064 4
 
2.0%
340608.886881 3
 
1.5%
344417.802132 3
 
1.5%
343251.365403 3
 
1.5%
347037.24197 2
 
1.0%
345273.624155 2
 
1.0%
345965.1965 2
 
1.0%
Other values (158) 163
81.5%
(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 (%)85.3%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean263846.8
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:44.574184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258580.27
Q1262450.94
median264416.84
Q3264868.76
95-th percentile270580.1
Maximum274249.78
Range35246.979
Interquartile range (IQR)2417.8186

Descriptive statistics

Standard deviation3499.2312
Coefficient of variation (CV)0.01326236
Kurtosis13.336938
Mean263846.8
Median Absolute Deviation (MAD)1055.688
Skewness-1.505999
Sum51977819
Variance12244619
MonotonicityNot monotonic
2024-04-22T04:51:45.020573image/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%
265000.0215 4
 
2.0%
262318.248215 3
 
1.5%
264430.537922 3
 
1.5%
264520.837975 3
 
1.5%
265407.404337 2
 
1.0%
262886.177312 2
 
1.0%
261891.571512 2
 
1.0%
Other values (158) 163
81.5%
(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
200 

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 200
100.0%

Length

2024-04-22T04:51:45.432313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:45.733820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 200
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
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
주거지역
 
2
Other values (5)
 
5

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 181
90.5%
일반주거지역 6
 
3.0%
일반상업지역 3
 
1.5%
근린상업지역 3
 
1.5%
주거지역 2
 
1.0%
중심상업지역 1
 
0.5%
전용주거지역 1
 
0.5%
상업지역 1
 
0.5%
자연녹지지역 1
 
0.5%
일반공업지역 1
 
0.5%

Length

2024-04-22T04:51:46.100379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:46.483741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 181
90.5%
일반주거지역 6
 
3.0%
일반상업지역 3
 
1.5%
근린상업지역 3
 
1.5%
주거지역 2
 
1.0%
중심상업지역 1
 
0.5%
전용주거지역 1
 
0.5%
상업지역 1
 
0.5%
자연녹지지역 1
 
0.5%
일반공업지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)7.9%
Missing111
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean0.60674157
Minimum0
Maximum10
Zeros74
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:46.858258image/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 deviation1.7097181
Coefficient of variation (CV)2.8178687
Kurtosis15.975695
Mean0.60674157
Median Absolute Deviation (MAD)0
Skewness3.7493062
Sum54
Variance2.9231359
MonotonicityNot monotonic
2024-04-22T04:51:47.215670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 74
37.0%
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) 111
55.5%
ValueCountFrequency (%)
0 74
37.0%
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 74
37.0%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing196
Missing (%)98.0%
Memory size1.7 KiB
2024-04-22T04:51:47.710793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5
Min length2

Characters and Unicode

Total characters20
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 (%)50.0%

Sample

1st row주택가주변
2nd row기타
3rd row학교정화(상대)
4th row주택가주변
ValueCountFrequency (%)
주택가주변 2
50.0%
기타 1
25.0%
학교정화(상대 1
25.0%
2024-04-22T04:51:48.590799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
20.0%
2
10.0%
2
10.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (4) 4
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
90.0%
Open Punctuation 1
 
5.0%
Close Punctuation 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
22.2%
2
11.1%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
90.0%
Common 2
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
22.2%
2
11.1%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
90.0%
ASCII 2
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
22.2%
2
11.1%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

보험기관명
Text

MISSING 

Distinct67
Distinct (%)42.4%
Missing42
Missing (%)21.0%
Memory size1.7 KiB
2024-04-22T04:51:49.440135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.310127
Min length4

Characters and Unicode

Total characters1787
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 (%)36.7%

Sample

1st row서울보증보험 750-81-01229
2nd row서울보증보험
3rd row한국관광협회중앙회
4th row서울보증보험 504-86-11037
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 73
33.5%
관광협회 19
 
8.7%
한국관광협회중앙회 18
 
8.3%
한국관광협회 14
 
6.4%
서울보증보험주식회사 13
 
6.0%
관광공제회 10
 
4.6%
여행공제회 7
 
3.2%
한국여행업협회 3
 
1.4%
서울보증보험(주 2
 
0.9%
서울보증 2
 
0.9%
Other values (57) 57
26.1%
2024-04-22T04:51:50.752031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
 
10.4%
0 109
 
6.1%
109
 
6.1%
- 106
 
5.9%
94
 
5.3%
94
 
5.3%
94
 
5.3%
92
 
5.1%
8 84
 
4.7%
1 70
 
3.9%
Other values (30) 749
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1074
60.1%
Decimal Number 539
30.2%
Dash Punctuation 106
 
5.9%
Space Separator 60
 
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
17.3%
109
10.1%
94
8.8%
94
8.8%
94
8.8%
92
8.6%
67
 
6.2%
66
 
6.1%
59
 
5.5%
35
 
3.3%
Other values (15) 178
16.6%
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 (%)
60
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 1074
60.1%
Common 713
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
17.3%
109
10.1%
94
8.8%
94
8.8%
94
8.8%
92
8.6%
67
 
6.2%
66
 
6.1%
59
 
5.5%
35
 
3.3%
Other values (15) 178
16.6%
Common
ValueCountFrequency (%)
0 109
15.3%
- 106
14.9%
8 84
11.8%
1 70
9.8%
60
8.4%
5 53
7.4%
4 48
6.7%
2 46
6.5%
9 35
 
4.9%
6 32
 
4.5%
Other values (5) 70
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1074
60.1%
ASCII 713
39.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
186
17.3%
109
10.1%
94
8.8%
94
8.8%
94
8.8%
92
8.6%
67
 
6.2%
66
 
6.1%
59
 
5.5%
35
 
3.3%
Other values (15) 178
16.6%
ASCII
ValueCountFrequency (%)
0 109
15.3%
- 106
14.9%
8 84
11.8%
1 70
9.8%
60
8.4%
5 53
7.4%
4 48
6.7%
2 46
6.5%
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
 
8
문화시설
 
1

Length

Max length6
Median length4
Mean length4.05
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
91.0%
근린생활시설 9
 
4.5%
사무실 8
 
4.0%
문화시설 1
 
0.5%

Length

2024-04-22T04:51:51.190355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:51.538907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 182
91.0%
근린생활시설 9
 
4.5%
사무실 8
 
4.0%
문화시설 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)10.1%
Missing111
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean0.69662921
Minimum0
Maximum13
Zeros73
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:51:51.864623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.6
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1234861
Coefficient of variation (CV)3.04823
Kurtosis18.288713
Mean0.69662921
Median Absolute Deviation (MAD)0
Skewness4.1091357
Sum62
Variance4.5091931
MonotonicityNot monotonic
2024-04-22T04:51:52.225455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73
36.5%
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) 111
55.5%
ValueCountFrequency (%)
0 73
36.5%
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 73
36.5%

지하층수
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
119 
0
75 
1
 
5
2
 
1

Length

Max length4
Median length4
Mean length2.785
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> 119
59.5%
0 75
37.5%
1 5
 
2.5%
2 1
 
0.5%

Length

2024-04-22T04:51:52.634329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:52.982033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
59.5%
0 75
37.5%
1 5
 
2.5%
2 1
 
0.5%

객실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:51:53.369727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:53.703976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

건축연면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:51:54.072641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:54.407189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

영문상호명
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing111
Missing (%)55.5%
Memory size1.7 KiB
2024-04-22T04:51:55.049644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.303371
Min length3

Characters and Unicode

Total characters1807
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

Unique89 ?
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
 
15.1%
co.,ltd 37
 
12.7%
ltd 26
 
8.9%
co 26
 
8.9%
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 (125) 130
44.5%
2024-04-22T04:51:56.176873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
11.3%
O 140
 
7.7%
T 132
 
7.3%
L 94
 
5.2%
C 88
 
4.9%
R 80
 
4.4%
. 75
 
4.2%
D 74
 
4.1%
E 73
 
4.0%
U 70
 
3.9%
Other values (51) 777
43.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1121
62.0%
Lowercase Letter 329
 
18.2%
Space Separator 204
 
11.3%
Other Punctuation 144
 
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 43
13.1%
e 33
10.0%
t 32
9.7%
a 31
9.4%
r 29
8.8%
d 22
 
6.7%
n 21
 
6.4%
u 20
 
6.1%
i 18
 
5.5%
g 11
 
3.3%
Other values (15) 69
21.0%
Uppercase Letter
ValueCountFrequency (%)
O 140
12.5%
T 132
11.8%
L 94
 
8.4%
C 88
 
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
22.6%
Other Punctuation
ValueCountFrequency (%)
. 75
52.1%
, 63
43.8%
& 5
 
3.5%
' 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
204
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 1450
80.2%
Common 357
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 140
 
9.7%
T 132
 
9.1%
L 94
 
6.5%
C 88
 
6.1%
R 80
 
5.5%
D 74
 
5.1%
E 73
 
5.0%
U 70
 
4.8%
A 65
 
4.5%
N 52
 
3.6%
Other values (39) 582
40.1%
Common
ValueCountFrequency (%)
204
57.1%
. 75
 
21.0%
, 63
 
17.6%
& 5
 
1.4%
- 3
 
0.8%
) 1
 
0.3%
( 1
 
0.3%
2 1
 
0.3%
' 1
 
0.3%
1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
 
11.3%
O 140
 
7.7%
T 132
 
7.3%
L 94
 
5.2%
C 88
 
4.9%
R 80
 
4.4%
. 75
 
4.2%
D 74
 
4.1%
E 73
 
4.0%
U 70
 
3.9%
Other values (51) 777
43.0%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
110 
General travel business
62 
General Travel Agency
 
11
Inbound Travel business
 
5
Inbound Travel Agency
 
4
Other values (8)
 
8

Length

Max length24
Median length4
Mean length12.335
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
55.0%
General travel business 62
31.0%
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

2024-04-22T04:51:56.615134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 110
29.0%
travel 90
23.7%
general 76
20.1%
business 73
19.3%
agency 15
 
4.0%
inbound 12
 
3.2%
agent 2
 
0.5%
domestic 1
 
0.3%

선박총톤수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:51:57.041265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:57.646205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

선박척수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:51:58.014560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:58.347486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:51:58.714663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:59.048393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

좌석수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:51:59.416884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:51:59.750078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:52:00.120196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:52:00.454647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)32.0%
Missing103
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean215.21691
Minimum0
Maximum17749
Zeros65
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:52:00.775390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327.25
95-th percentile157.888
Maximum17749
Range17749
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation1800.7287
Coefficient of variation (CV)8.3670413
Kurtosis96.5787
Mean215.21691
Median Absolute Deviation (MAD)0
Skewness9.8175329
Sum20876.04
Variance3242624
MonotonicityNot monotonic
2024-04-22T04:52:01.171967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 65
32.5%
20.0 3
 
1.5%
100.0 1
 
0.5%
40.74 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 (21) 21
 
10.5%
(Missing) 103
51.5%
ValueCountFrequency (%)
0.0 65
32.5%
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%
40.74 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 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
124 
0
76 

Length

Max length4
Median length4
Mean length2.86
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> 124
62.0%
0 76
38.0%

Length

2024-04-22T04:52:01.603684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:52:01.936395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
62.0%
0 76
38.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)23.5%
Missing21
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.9285679 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros24
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:52:02.285252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11 × 108
median1.5 × 108
Q32 × 108
95-th percentile5.1006126 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.3220974 × 109
Coefficient of variation (CV)4.5144846
Kurtosis165.85358
Mean2.9285679 × 108
Median Absolute Deviation (MAD)50000000
Skewness12.668045
Sum5.2421365 × 1010
Variance1.7479417 × 1018
MonotonicityNot monotonic
2024-04-22T04:52:02.733029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
200000000 50
25.0%
100000000 40
20.0%
0 24
12.0%
50000000 12
 
6.0%
350000000 7
 
3.5%
300000000 7
 
3.5%
500000000 3
 
1.5%
250000000 2
 
1.0%
2000000000 1
 
0.5%
107500000 1
 
0.5%
Other values (32) 32
16.0%
(Missing) 21
10.5%
ValueCountFrequency (%)
0 24
12.0%
50000000 12
 
6.0%
50763792 1
 
0.5%
57498000 1
 
0.5%
100000000 40
20.0%
100015658 1
 
0.5%
100203849 1
 
0.5%
100950374 1
 
0.5%
101342000 1
 
0.5%
102500000 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 

Distinct158
Distinct (%)93.5%
Missing31
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean20195428
Minimum20100517
Maximum20220726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:52:03.169950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150350
Q120190206
median20201109
Q320210629
95-th percentile20220428
Maximum20220726
Range120209
Interquartile range (IQR)20423

Descriptive statistics

Standard deviation24790.593
Coefficient of variation (CV)0.0012275349
Kurtosis2.3255516
Mean20195428
Median Absolute Deviation (MAD)9983
Skewness-1.5738074
Sum3.4130273 × 109
Variance6.145735 × 108
MonotonicityNot monotonic
2024-04-22T04:52:03.638451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220425 2
 
1.0%
20211116 2
 
1.0%
20210618 2
 
1.0%
20210621 2
 
1.0%
20210922 2
 
1.0%
20200309 2
 
1.0%
20220328 2
 
1.0%
20210617 2
 
1.0%
20210601 2
 
1.0%
20210413 2
 
1.0%
Other values (148) 149
74.5%
(Missing) 31
 
15.5%
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 (%)
20220726 1
0.5%
20220716 1
0.5%
20220706 1
0.5%
20220610 1
0.5%
20220529 1
0.5%
20220526 1
0.5%
20220518 1
0.5%
20220507 1
0.5%
20220430 1
0.5%
20220425 2
1.0%

보험종료일자
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)94.7%
Missing31
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean20206075
Minimum20110517
Maximum20230726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:52:04.066265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160349
Q120200328
median20211207
Q320220822
95-th percentile20230513
Maximum20230726
Range120209
Interquartile range (IQR)20494

Descriptive statistics

Standard deviation25093.498
Coefficient of variation (CV)0.0012418788
Kurtosis2.2635238
Mean20206075
Median Absolute Deviation (MAD)10081
Skewness-1.5554644
Sum3.4148267 × 109
Variance6.2968362 × 108
MonotonicityNot monotonic
2024-04-22T04:52:04.517727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220531 3
 
1.5%
20220617 3
 
1.5%
20220808 2
 
1.0%
20220412 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 (150) 150
75.0%
(Missing) 31
 
15.5%
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 (%)
20230726 1
0.5%
20230716 1
0.5%
20230706 1
0.5%
20230623 1
0.5%
20230610 1
0.5%
20230529 1
0.5%
20230527 1
0.5%
20230526 1
0.5%
20230517 1
0.5%
20230506 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)28.9%
Missing103
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean215.21649
Minimum0
Maximum17749
Zeros65
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T04:52:04.904442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327
95-th percentile157.6
Maximum17749
Range17749
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1800.7288
Coefficient of variation (CV)8.3670577
Kurtosis96.578687
Mean215.21649
Median Absolute Deviation (MAD)0
Skewness9.817532
Sum20876
Variance3242624.4
MonotonicityNot monotonic
2024-04-22T04:52:05.301681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 65
32.5%
20 3
 
1.5%
66 2
 
1.0%
70 2
 
1.0%
86 2
 
1.0%
41 1
 
0.5%
135 1
 
0.5%
143 1
 
0.5%
33 1
 
0.5%
50 1
 
0.5%
Other values (18) 18
 
9.0%
(Missing) 103
51.5%
ValueCountFrequency (%)
0 65
32.5%
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%
41 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
190191종합여행업03_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
191192종합여행업03_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
192193종합여행업03_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
193194종합여행업03_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
194195종합여행업03_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
195196종합여행업03_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>
196197종합여행업03_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>
197198종합여행업03_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
198199종합여행업03_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
199200종합여행업03_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>