Overview

Dataset statistics

Number of variables63
Number of observations171
Missing cells5587
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.8 KiB
Average record size in memory549.8 B

Variable types

Numeric16
Categorical13
Text8
Unsupported25
DateTime1

Dataset

Description6270000_대구광역시_03_12_03_P_일반여행업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088382&dataSetDetailId=DDI_0000088377&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (80.2%)Imbalance
지역구분명 is highly imbalanced (75.3%)Imbalance
건물용도명 is highly imbalanced (71.6%)Imbalance
지하층수 is highly imbalanced (86.6%)Imbalance
폐업일자 has 149 (87.1%) missing valuesMissing
휴업시작일자 has 171 (100.0%) missing valuesMissing
휴업종료일자 has 171 (100.0%) missing valuesMissing
재개업일자 has 171 (100.0%) missing valuesMissing
소재지전화 has 56 (32.7%) missing valuesMissing
소재지면적 has 171 (100.0%) missing valuesMissing
소재지우편번호 has 133 (77.8%) missing valuesMissing
도로명우편번호 has 3 (1.8%) missing valuesMissing
업태구분명 has 171 (100.0%) missing valuesMissing
문화사업자구분명 has 171 (100.0%) missing valuesMissing
총층수 has 156 (91.2%) missing valuesMissing
주변환경명 has 167 (97.7%) missing valuesMissing
제작취급품목내용 has 171 (100.0%) missing valuesMissing
보험기관명 has 32 (18.7%) missing valuesMissing
지상층수 has 156 (91.2%) missing valuesMissing
객실수 has 171 (100.0%) missing valuesMissing
건축연면적 has 171 (100.0%) missing valuesMissing
영문상호명 has 88 (51.5%) missing valuesMissing
선박총톤수 has 171 (100.0%) missing valuesMissing
선박척수 has 171 (100.0%) missing valuesMissing
선박제원 has 171 (100.0%) missing valuesMissing
무대면적 has 171 (100.0%) missing valuesMissing
좌석수 has 171 (100.0%) missing valuesMissing
기념품종류 has 171 (100.0%) missing valuesMissing
회의실별동시수용인원 has 171 (100.0%) missing valuesMissing
시설면적 has 145 (84.8%) missing valuesMissing
놀이기구수내역 has 171 (100.0%) missing valuesMissing
놀이시설수 has 171 (100.0%) missing valuesMissing
방송시설유무 has 171 (100.0%) missing valuesMissing
발전시설유무 has 171 (100.0%) missing valuesMissing
의무실유무 has 171 (100.0%) missing valuesMissing
안내소유무 has 171 (100.0%) missing valuesMissing
기획여행보험시작일자 has 171 (100.0%) missing valuesMissing
기획여행보험종료일자 has 171 (100.0%) missing valuesMissing
자본금 has 38 (22.2%) missing valuesMissing
보험시작일자 has 22 (12.9%) missing valuesMissing
보험종료일자 has 22 (12.9%) missing valuesMissing
부대시설내역 has 171 (100.0%) missing valuesMissing
시설규모 has 145 (84.8%) 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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2023-12-10 19:42:34.174196
Analysis finished2023-12-10 19:42:35.290862
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86
Minimum1
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:35.397102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.5
Q143.5
median86
Q3128.5
95-th percentile162.5
Maximum171
Range170
Interquartile range (IQR)85

Descriptive statistics

Standard deviation49.507575
Coefficient of variation (CV)0.57566948
Kurtosis-1.2
Mean86
Median Absolute Deviation (MAD)43
Skewness0
Sum14706
Variance2451
MonotonicityStrictly increasing
2023-12-11T04:42:35.632178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
119 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
Other values (161) 161
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반여행업
171 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반여행업 171
100.0%

Length

2023-12-11T04:42:35.836097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:35.969108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 171
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
03_12_03_P
171 

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 171
100.0%

Length

2023-12-11T04:42:36.122894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:36.281922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 171
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436198.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:36.418122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation25371.271
Coefficient of variation (CV)0.0073835283
Kurtosis-1.5880824
Mean3436198.8
Median Absolute Deviation (MAD)10000
Skewness0.27489073
Sum5.8759 × 108
Variance6.4370141 × 108
MonotonicityIncreasing
2023-12-11T04:42:36.576905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 62
36.3%
3460000 27
15.8%
3420000 24
 
14.0%
3470000 23
 
13.5%
3450000 18
 
10.5%
3480000 8
 
4.7%
3440000 5
 
2.9%
3430000 4
 
2.3%
ValueCountFrequency (%)
3410000 62
36.3%
3420000 24
 
14.0%
3430000 4
 
2.3%
3440000 5
 
2.9%
3450000 18
 
10.5%
3460000 27
15.8%
3470000 23
 
13.5%
3480000 8
 
4.7%
ValueCountFrequency (%)
3480000 8
 
4.7%
3470000 23
 
13.5%
3460000 27
15.8%
3450000 18
 
10.5%
3440000 5
 
2.9%
3430000 4
 
2.3%
3420000 24
 
14.0%
3410000 62
36.3%

관리번호
Text

Distinct80
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:42:36.848395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3420
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)22.2%

Sample

1st rowCDFI2260042009000001
2nd rowCDFI2260042011000003
3rd rowCDFI2260042015000004
4th rowCDFI2260042015000003
5th rowCDFI2260042017000007
ValueCountFrequency (%)
cdfi2260042017000002 7
 
4.1%
cdfi2260042020000001 6
 
3.5%
cdfi2260042016000001 6
 
3.5%
cdfi2260042019000001 6
 
3.5%
cdfi2260042016000002 5
 
2.9%
cdfi2260042017000001 5
 
2.9%
cdfi2260042018000001 5
 
2.9%
cdfi2260042020000002 5
 
2.9%
cdfi2260042015000001 4
 
2.3%
cdfi2260042018000002 4
 
2.3%
Other values (70) 118
69.0%
2023-12-11T04:42:37.319543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1399
40.9%
2 583
17.0%
6 210
 
6.1%
1 207
 
6.1%
4 194
 
5.7%
C 171
 
5.0%
D 171
 
5.0%
F 171
 
5.0%
I 171
 
5.0%
7 33
 
1.0%
Other values (4) 110
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2736
80.0%
Uppercase Letter 684
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1399
51.1%
2 583
21.3%
6 210
 
7.7%
1 207
 
7.6%
4 194
 
7.1%
7 33
 
1.2%
9 29
 
1.1%
8 28
 
1.0%
5 27
 
1.0%
3 26
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 171
25.0%
D 171
25.0%
F 171
25.0%
I 171
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2736
80.0%
Latin 684
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1399
51.1%
2 583
21.3%
6 210
 
7.7%
1 207
 
7.6%
4 194
 
7.1%
7 33
 
1.2%
9 29
 
1.1%
8 28
 
1.0%
5 27
 
1.0%
3 26
 
1.0%
Latin
ValueCountFrequency (%)
C 171
25.0%
D 171
25.0%
F 171
25.0%
I 171
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1399
40.9%
2 583
17.0%
6 210
 
6.1%
1 207
 
6.1%
4 194
 
5.7%
C 171
 
5.0%
D 171
 
5.0%
F 171
 
5.0%
I 171
 
5.0%
7 33
 
1.0%
Other values (4) 110
 
3.2%

인허가일자
Real number (ℝ)

Distinct164
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151286
Minimum19981030
Maximum20201214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:37.526003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20085708
Q120130412
median20160523
Q320180408
95-th percentile20200257
Maximum20201214
Range220184
Interquartile range (IQR)49996.5

Descriptive statistics

Standard deviation38311.553
Coefficient of variation (CV)0.0019011964
Kurtosis2.3305771
Mean20151286
Median Absolute Deviation (MAD)20106
Skewness-1.2875928
Sum3.4458699 × 109
Variance1.4677751 × 109
MonotonicityNot monotonic
2023-12-11T04:42:37.734338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170914 2
 
1.2%
20170105 2
 
1.2%
20160607 2
 
1.2%
20120110 2
 
1.2%
20160309 2
 
1.2%
20160817 2
 
1.2%
20160802 2
 
1.2%
20160810 1
 
0.6%
20150604 1
 
0.6%
20201202 1
 
0.6%
Other values (154) 154
90.1%
ValueCountFrequency (%)
19981030 1
0.6%
20020530 1
0.6%
20050530 1
0.6%
20050817 1
0.6%
20050926 1
0.6%
20060220 1
0.6%
20060704 1
0.6%
20070830 1
0.6%
20080911 1
0.6%
20090506 1
0.6%
ValueCountFrequency (%)
20201214 1
0.6%
20201202 1
0.6%
20200928 1
0.6%
20200602 1
0.6%
20200519 1
0.6%
20200513 1
0.6%
20200331 1
0.6%
20200317 1
0.6%
20200303 1
0.6%
20200211 1
0.6%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
159 
20191203
 
5
20191120
 
3
20190211
 
2
20120522
 
1

Length

Max length8
Median length4
Mean length4.2807018
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row20120522
2nd row<NA>
3rd row20191203
4th row20190211
5th row20191203

Common Values

ValueCountFrequency (%)
<NA> 159
93.0%
20191203 5
 
2.9%
20191120 3
 
1.8%
20190211 2
 
1.2%
20120522 1
 
0.6%
20141111 1
 
0.6%

Length

2023-12-11T04:42:37.914758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:38.073802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
93.0%
20191203 5
 
2.9%
20191120 3
 
1.8%
20190211 2
 
1.2%
20120522 1
 
0.6%
20141111 1
 
0.6%

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
137 
3
22 
4
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 137
80.1%
3 22
 
12.9%
4 12
 
7.0%

Length

2023-12-11T04:42:38.207869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:38.388117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 137
80.1%
3 22
 
12.9%
4 12
 
7.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업/정상
137 
폐업
22 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length5.245614
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 137
80.1%
폐업 22
 
12.9%
취소/말소/만료/정지/중지 12
 
7.0%

Length

2023-12-11T04:42:38.577843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:38.786956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 137
80.1%
폐업 22
 
12.9%
취소/말소/만료/정지/중지 12
 
7.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
13
137 
3
22 
31
 
12

Length

Max length2
Median length2
Mean length1.871345
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row13
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
13 137
80.1%
3 22
 
12.9%
31 12
 
7.0%

Length

2023-12-11T04:42:38.943197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:39.106168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 137
80.1%
3 22
 
12.9%
31 12
 
7.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업중
137 
폐업
22 
등록취소
 
12

Length

Max length4
Median length3
Mean length2.9415205
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 137
80.1%
폐업 22
 
12.9%
등록취소 12
 
7.0%

Length

2023-12-11T04:42:39.292898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:39.482839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 137
80.1%
폐업 22
 
12.9%
등록취소 12
 
7.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing149
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean20168812
Minimum20110720
Maximum20200826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:39.651872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110720
5-th percentile20130312
Q120145944
median20170868
Q320190623
95-th percentile20200724
Maximum20200826
Range90106
Interquartile range (IQR)44679.25

Descriptive statistics

Standard deviation27472.312
Coefficient of variation (CV)0.0013621185
Kurtosis-0.74852115
Mean20168812
Median Absolute Deviation (MAD)24653
Skewness-0.55834764
Sum4.4371386 × 108
Variance7.5472795 × 108
MonotonicityNot monotonic
2023-12-11T04:42:39.820501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20130513 1
 
0.6%
20200725 1
 
0.6%
20170516 1
 
0.6%
20200702 1
 
0.6%
20200826 1
 
0.6%
20181220 1
 
0.6%
20180228 1
 
0.6%
20170109 1
 
0.6%
20190725 1
 
0.6%
20200324 1
 
0.6%
Other values (12) 12
 
7.0%
(Missing) 149
87.1%
ValueCountFrequency (%)
20110720 1
0.6%
20130301 1
0.6%
20130513 1
0.6%
20131114 1
0.6%
20141008 1
0.6%
20141121 1
0.6%
20160413 1
0.6%
20160420 1
0.6%
20170109 1
0.6%
20170516 1
0.6%
ValueCountFrequency (%)
20200826 1
0.6%
20200725 1
0.6%
20200702 1
0.6%
20200324 1
0.6%
20200318 1
0.6%
20190725 1
0.6%
20190318 1
0.6%
20181220 1
0.6%
20180502 1
0.6%
20180228 1
0.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

소재지전화
Text

MISSING 

Distinct112
Distinct (%)97.4%
Missing56
Missing (%)32.7%
Memory size1.5 KiB
2023-12-11T04:42:40.189831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.391304
Min length8

Characters and Unicode

Total characters1310
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

Unique109 ?
Unique (%)94.8%

Sample

1st row053-255-2779
2nd row053-428-2212
3rd row053-252-5454
4th row053-254-7475
5th row1544-7535
ValueCountFrequency (%)
053 13
 
9.6%
327-2888 2
 
1.5%
053-215-3355 2
 
1.5%
053-216-6000 2
 
1.5%
0536253220 1
 
0.7%
764 1
 
0.7%
053-759-5125 1
 
0.7%
053-554-2525 1
 
0.7%
053-742-3535 1
 
0.7%
053-721-7121 1
 
0.7%
Other values (110) 110
81.5%
2023-12-11T04:42:40.778162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
16.6%
5 205
15.6%
3 164
12.5%
- 159
12.1%
2 120
9.2%
4 93
7.1%
7 77
 
5.9%
1 74
 
5.6%
8 71
 
5.4%
6 62
 
4.7%
Other values (3) 67
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1130
86.3%
Dash Punctuation 159
 
12.1%
Space Separator 20
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
19.3%
5 205
18.1%
3 164
14.5%
2 120
10.6%
4 93
8.2%
7 77
 
6.8%
1 74
 
6.5%
8 71
 
6.3%
6 62
 
5.5%
9 46
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
16.6%
5 205
15.6%
3 164
12.5%
- 159
12.1%
2 120
9.2%
4 93
7.1%
7 77
 
5.9%
1 74
 
5.6%
8 71
 
5.4%
6 62
 
4.7%
Other values (3) 67
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
16.6%
5 205
15.6%
3 164
12.5%
- 159
12.1%
2 120
9.2%
4 93
7.1%
7 77
 
5.9%
1 74
 
5.6%
8 71
 
5.4%
6 62
 
4.7%
Other values (3) 67
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing133
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean702635.03
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:41.022993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700150
5-th percentile700290.5
Q1700422
median701760
Q3704636
95-th percentile706824.95
Maximum711861
Range11711
Interquartile range (IQR)4214

Descriptive statistics

Standard deviation2759.7329
Coefficient of variation (CV)0.0039276904
Kurtosis1.8172269
Mean702635.03
Median Absolute Deviation (MAD)1339
Skewness1.3832406
Sum26700131
Variance7616125.5
MonotonicityNot monotonic
2023-12-11T04:42:41.246982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
700421 4
 
2.3%
700422 3
 
1.8%
711861 1
 
0.6%
704808 1
 
0.6%
704938 1
 
0.6%
704120 1
 
0.6%
706722 1
 
0.6%
706801 1
 
0.6%
703800 1
 
0.6%
706836 1
 
0.6%
Other values (23) 23
 
13.5%
(Missing) 133
77.8%
ValueCountFrequency (%)
700150 1
 
0.6%
700180 1
 
0.6%
700310 1
 
0.6%
700411 1
 
0.6%
700412 1
 
0.6%
700421 4
2.3%
700422 3
1.8%
700430 1
 
0.6%
700715 1
 
0.6%
700719 1
 
0.6%
ValueCountFrequency (%)
711861 1
0.6%
706836 1
0.6%
706823 1
0.6%
706803 1
0.6%
706801 1
0.6%
706722 1
0.6%
705020 1
0.6%
705010 1
0.6%
704938 1
0.6%
704808 1
0.6%

소재지전체주소
Text

Distinct156
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:42:41.778472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length23.421053
Min length13

Characters and Unicode

Total characters4005
Distinct characters188
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)84.2%

Sample

1st row대구광역시 중구 삼덕동2가 210-1번지 진석타워 606호
2nd row대구광역시 중구 대봉동 40-98번지 송죽미용실
3rd row대구광역시 중구 공평동 10-5
4th row대구광역시 중구 동인동2가 108-17번지 3층
5th row대구광역시 중구 삼덕동3가 274-3번지
ValueCountFrequency (%)
대구광역시 171
22.3%
중구 62
 
8.1%
수성구 27
 
3.5%
동구 24
 
3.1%
달서구 23
 
3.0%
북구 18
 
2.3%
신천동 13
 
1.7%
달성군 8
 
1.0%
동인동1가 8
 
1.0%
대봉동 6
 
0.8%
Other values (295) 407
53.1%
2023-12-11T04:42:42.597741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
755
18.9%
구 346
 
8.6%
동 207
 
5.2%
1 193
 
4.8%
대 192
 
4.8%
시 175
 
4.4%
역 173
 
4.3%
광 171
 
4.3%
- 139
 
3.5%
2 114
 
2.8%
Other values (178) 1540
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2331
58.2%
Decimal Number 773
 
19.3%
Space Separator 755
 
18.9%
Dash Punctuation 139
 
3.5%
Uppercase Letter 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 346
14.8%
동 207
 
8.9%
대 192
 
8.2%
시 175
 
7.5%
역 173
 
7.4%
광 171
 
7.3%
지 108
 
4.6%
번 100
 
4.3%
중 65
 
2.8%
성 56
 
2.4%
Other values (160) 738
31.7%
Decimal Number
ValueCountFrequency (%)
1 193
25.0%
2 114
14.7%
3 79
10.2%
8 62
 
8.0%
0 59
 
7.6%
7 57
 
7.4%
6 56
 
7.2%
9 56
 
7.2%
5 54
 
7.0%
4 43
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
K 1
16.7%
Y 1
16.7%
I 1
16.7%
C 1
16.7%
Space Separator
ValueCountFrequency (%)
755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2331
58.2%
Common 1668
41.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 346
14.8%
동 207
 
8.9%
대 192
 
8.2%
시 175
 
7.5%
역 173
 
7.4%
광 171
 
7.3%
지 108
 
4.6%
번 100
 
4.3%
중 65
 
2.8%
성 56
 
2.4%
Other values (160) 738
31.7%
Common
ValueCountFrequency (%)
755
45.3%
1 193
 
11.6%
- 139
 
8.3%
2 114
 
6.8%
3 79
 
4.7%
8 62
 
3.7%
0 59
 
3.5%
7 57
 
3.4%
6 56
 
3.4%
9 56
 
3.4%
Other values (3) 98
 
5.9%
Latin
ValueCountFrequency (%)
T 2
33.3%
K 1
16.7%
Y 1
16.7%
I 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2331
58.2%
ASCII 1674
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
755
45.1%
1 193
 
11.5%
- 139
 
8.3%
2 114
 
6.8%
3 79
 
4.7%
8 62
 
3.7%
0 59
 
3.5%
7 57
 
3.4%
6 56
 
3.3%
9 56
 
3.3%
Other values (8) 104
 
6.2%
Hangul
ValueCountFrequency (%)
구 346
14.8%
동 207
 
8.9%
대 192
 
8.2%
시 175
 
7.5%
역 173
 
7.4%
광 171
 
7.3%
지 108
 
4.6%
번 100
 
4.3%
중 65
 
2.8%
성 56
 
2.4%
Other values (160) 738
31.7%

도로명전체주소
Text

Distinct163
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:42:43.148305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length30.637427
Min length20

Characters and Unicode

Total characters5239
Distinct characters236
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

Unique156 ?
Unique (%)91.2%

Sample

1st row대구광역시 중구 동덕로 115, 606호 (삼덕동2가)
2nd row대구광역시 중구 동덕로 36-19, 송죽미용실 4층 (대봉동)
3rd row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
4th row대구광역시 중구 국채보상로 673, 3층 (동인동2가)
5th row대구광역시 중구 달구벌대로447길 34-11 (삼덕동3가)
ValueCountFrequency (%)
대구광역시 171
 
16.4%
중구 62
 
6.0%
2층 28
 
2.7%
수성구 27
 
2.6%
동구 24
 
2.3%
달서구 23
 
2.2%
북구 18
 
1.7%
국채보상로 18
 
1.7%
3층 17
 
1.6%
경상감영길 15
 
1.4%
Other values (403) 639
61.3%
2023-12-11T04:42:43.959346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
872
 
16.6%
구 363
 
6.9%
동 243
 
4.6%
대 218
 
4.2%
1 196
 
3.7%
시 180
 
3.4%
광 174
 
3.3%
역 174
 
3.3%
로 166
 
3.2%
( 165
 
3.1%
Other values (226) 2488
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3024
57.7%
Space Separator 872
 
16.6%
Decimal Number 840
 
16.0%
Open Punctuation 165
 
3.1%
Close Punctuation 165
 
3.1%
Other Punctuation 138
 
2.6%
Dash Punctuation 29
 
0.6%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 363
 
12.0%
동 243
 
8.0%
대 218
 
7.2%
시 180
 
6.0%
광 174
 
5.8%
역 174
 
5.8%
로 166
 
5.5%
층 78
 
2.6%
성 73
 
2.4%
길 72
 
2.4%
Other values (204) 1283
42.4%
Decimal Number
ValueCountFrequency (%)
1 196
23.3%
2 150
17.9%
3 81
9.6%
5 81
9.6%
4 65
 
7.7%
0 56
 
6.7%
6 56
 
6.7%
7 54
 
6.4%
8 54
 
6.4%
9 47
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
I 1
20.0%
T 1
20.0%
Y 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 137
99.3%
· 1
 
0.7%
Space Separator
ValueCountFrequency (%)
872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3024
57.7%
Common 2210
42.2%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 363
 
12.0%
동 243
 
8.0%
대 218
 
7.2%
시 180
 
6.0%
광 174
 
5.8%
역 174
 
5.8%
로 166
 
5.5%
층 78
 
2.6%
성 73
 
2.4%
길 72
 
2.4%
Other values (204) 1283
42.4%
Common
ValueCountFrequency (%)
872
39.5%
1 196
 
8.9%
( 165
 
7.5%
) 165
 
7.5%
2 150
 
6.8%
, 137
 
6.2%
3 81
 
3.7%
5 81
 
3.7%
4 65
 
2.9%
0 56
 
2.5%
Other values (7) 242
 
11.0%
Latin
ValueCountFrequency (%)
C 1
20.0%
I 1
20.0%
T 1
20.0%
Y 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3024
57.7%
ASCII 2214
42.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
872
39.4%
1 196
 
8.9%
( 165
 
7.5%
) 165
 
7.5%
2 150
 
6.8%
, 137
 
6.2%
3 81
 
3.7%
5 81
 
3.7%
4 65
 
2.9%
0 56
 
2.5%
Other values (11) 246
 
11.1%
Hangul
ValueCountFrequency (%)
구 363
 
12.0%
동 243
 
8.0%
대 218
 
7.2%
시 180
 
6.0%
광 174
 
5.8%
역 174
 
5.8%
로 166
 
5.5%
층 78
 
2.6%
성 73
 
2.4%
길 72
 
2.4%
Other values (204) 1283
42.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)73.2%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean73412.411
Minimum41022
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:44.185899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41022
5-th percentile41166.1
Q141862.25
median41939
Q342430.75
95-th percentile43015.6
Maximum706836
Range665814
Interquartile range (IQR)568.5

Descriptive statistics

Standard deviation140951.04
Coefficient of variation (CV)1.9199893
Kurtosis16.575038
Mean73412.411
Median Absolute Deviation (MAD)338.5
Skewness4.2868821
Sum12333285
Variance1.9867196 × 1010
MonotonicityNot monotonic
2023-12-11T04:42:44.421300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 6
 
3.5%
41921 5
 
2.9%
41913 5
 
2.9%
41940 5
 
2.9%
41919 5
 
2.9%
41931 3
 
1.8%
41952 3
 
1.8%
41937 3
 
1.8%
42038 2
 
1.2%
41959 2
 
1.2%
Other values (113) 129
75.4%
(Missing) 3
 
1.8%
ValueCountFrequency (%)
41022 1
0.6%
41033 1
0.6%
41068 1
0.6%
41117 2
1.2%
41121 1
0.6%
41145 1
0.6%
41147 1
0.6%
41164 1
0.6%
41170 1
0.6%
41227 1
0.6%
ValueCountFrequency (%)
706836 1
0.6%
702250 1
0.6%
701827 1
0.6%
701742 1
0.6%
700826 1
0.6%
700719 1
0.6%
700421 1
0.6%
700411 1
0.6%
43017 1
0.6%
43013 1
0.6%

사업장명
Text

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T04:42:44.798934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.6432749
Min length2

Characters and Unicode

Total characters1478
Distinct characters255
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

Unique171 ?
Unique (%)100.0%

Sample

1st row(주)웰빙투어
2nd row(주)실론투어
3rd row(주)스마일투어
4th row(주)국제럭셔리 여행사
5th row(주)와이제이 메디컬투어
ValueCountFrequency (%)
주식회사 24
 
10.6%
여행사 3
 
1.3%
투어 2
 
0.9%
코리아 2
 
0.9%
칠성여행사 1
 
0.4%
주)수아벨 1
 
0.4%
알앤디 1
 
0.4%
주)드림투어로 1
 
0.4%
주)국제의료교육관광 1
 
0.4%
주)휴먼아이엠씨 1
 
0.4%
Other values (190) 190
83.7%
2023-12-11T04:42:45.360075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 128
 
8.7%
) 101
 
6.8%
( 101
 
6.8%
사 59
 
4.0%
56
 
3.8%
어 49
 
3.3%
투 48
 
3.2%
행 40
 
2.7%
여 39
 
2.6%
이 35
 
2.4%
Other values (245) 822
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1178
79.7%
Close Punctuation 101
 
6.8%
Open Punctuation 101
 
6.8%
Space Separator 56
 
3.8%
Uppercase Letter 28
 
1.9%
Other Punctuation 7
 
0.5%
Lowercase Letter 6
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 128
 
10.9%
사 59
 
5.0%
어 49
 
4.2%
투 48
 
4.1%
행 40
 
3.4%
여 39
 
3.3%
이 35
 
3.0%
관 30
 
2.5%
스 30
 
2.5%
광 30
 
2.5%
Other values (219) 690
58.6%
Uppercase Letter
ValueCountFrequency (%)
T 4
14.3%
C 4
14.3%
L 3
10.7%
O 3
10.7%
U 2
7.1%
A 2
7.1%
R 2
7.1%
D 2
7.1%
K 2
7.1%
W 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
a 1
16.7%
p 1
16.7%
d 1
16.7%
t 1
16.7%
o 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1178
79.7%
Common 266
 
18.0%
Latin 34
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 128
 
10.9%
사 59
 
5.0%
어 49
 
4.2%
투 48
 
4.1%
행 40
 
3.4%
여 39
 
3.3%
이 35
 
3.0%
관 30
 
2.5%
스 30
 
2.5%
광 30
 
2.5%
Other values (219) 690
58.6%
Latin
ValueCountFrequency (%)
T 4
11.8%
C 4
11.8%
L 3
 
8.8%
O 3
 
8.8%
U 2
 
5.9%
A 2
 
5.9%
R 2
 
5.9%
D 2
 
5.9%
K 2
 
5.9%
r 1
 
2.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
) 101
38.0%
( 101
38.0%
56
21.1%
. 4
 
1.5%
, 2
 
0.8%
& 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1178
79.7%
ASCII 300
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 128
 
10.9%
사 59
 
5.0%
어 49
 
4.2%
투 48
 
4.1%
행 40
 
3.4%
여 39
 
3.3%
이 35
 
3.0%
관 30
 
2.5%
스 30
 
2.5%
광 30
 
2.5%
Other values (219) 690
58.6%
ASCII
ValueCountFrequency (%)
) 101
33.7%
( 101
33.7%
56
18.7%
T 4
 
1.3%
. 4
 
1.3%
C 4
 
1.3%
L 3
 
1.0%
O 3
 
1.0%
U 2
 
0.7%
A 2
 
0.7%
Other values (16) 20
 
6.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0191058 × 1013
Minimum2.011072 × 1013
Maximum2.0210121 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:45.598286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0160469 × 1013
Q12.0190206 × 1013
median2.0200318 × 1013
Q32.0200819 × 1013
95-th percentile2.0201228 × 1013
Maximum2.0210121 × 1013
Range9.9400912 × 1010
Interquartile range (IQR)1.0612486 × 1010

Descriptive statistics

Standard deviation1.6872352 × 1010
Coefficient of variation (CV)0.00083563487
Kurtosis6.3248926
Mean2.0191058 × 1013
Median Absolute Deviation (MAD)9.1002618 × 108
Skewness-2.3502316
Sum3.4526709 × 1015
Variance2.8467627 × 1020
MonotonicityNot monotonic
2023-12-11T04:42:45.802682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120706142721 1
 
0.6%
20180419152912 1
 
0.6%
20191118134819 1
 
0.6%
20190218160507 1
 
0.6%
20201207091501 1
 
0.6%
20191127144216 1
 
0.6%
20200812180420 1
 
0.6%
20191127144250 1
 
0.6%
20200324153014 1
 
0.6%
20190725154439 1
 
0.6%
Other values (161) 161
94.2%
ValueCountFrequency (%)
20110720181127 1
0.6%
20120706142721 1
0.6%
20130322160141 1
0.6%
20131114170927 1
0.6%
20140327170931 1
0.6%
20141008134220 1
0.6%
20141111172620 1
0.6%
20141121163021 1
0.6%
20160428132143 1
0.6%
20160509092745 1
0.6%
ValueCountFrequency (%)
20210121093116 1
0.6%
20210120092810 1
0.6%
20210119133903 1
0.6%
20210119133647 1
0.6%
20210112175101 1
0.6%
20210112091403 1
0.6%
20201229133418 1
0.6%
20201229133340 1
0.6%
20201228180001 1
0.6%
20201228093042 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
U
122 
I
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 122
71.3%
I 49
28.7%

Length

2023-12-11T04:42:46.345626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:46.508970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 122
71.3%
i 49
28.7%

데이터갱신일자
Date

Distinct106
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-23 02:40:00
2023-12-11T04:42:46.691048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:42:46.902794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct151
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343694.28
Minimum329040.79
Maximum355883.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:47.107566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile334975.56
Q1341454.16
median344295.63
Q3346270.6
95-th percentile349899.52
Maximum355883.11
Range26842.324
Interquartile range (IQR)4816.4459

Descriptive statistics

Standard deviation4375.9416
Coefficient of variation (CV)0.012732076
Kurtosis1.3042297
Mean343694.28
Median Absolute Deviation (MAD)2051.8184
Skewness-0.46975241
Sum58771722
Variance19148865
MonotonicityNot monotonic
2023-12-11T04:42:47.317590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343436.311606 5
 
2.9%
344686.259338 4
 
2.3%
344643.136454 3
 
1.8%
343959.823762 3
 
1.8%
343251.365403 3
 
1.8%
354462.208404 2
 
1.2%
347037.24197 2
 
1.2%
344123.607113 2
 
1.2%
345273.624155 2
 
1.2%
344627.941806 2
 
1.2%
Other values (141) 143
83.6%
ValueCountFrequency (%)
329040.790333 1
0.6%
331515.646418 1
0.6%
332426.0567 1
0.6%
333408.567124 1
0.6%
334079.549213 1
0.6%
334084.759764 1
0.6%
334497.543059 1
0.6%
334642.743684 1
0.6%
334862.118774 1
0.6%
335089.0 1
0.6%
ValueCountFrequency (%)
355883.113907 1
0.6%
354570.439228 1
0.6%
354462.208404 2
1.2%
354375.109677 1
0.6%
351259.69746 1
0.6%
350749.968249 1
0.6%
350354.422142 1
0.6%
350161.007979 1
0.6%
349638.028276 1
0.6%
348665.873375 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct151
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263680.25
Minimum239002.81
Maximum273375.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:47.516507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258481.88
Q1262356.52
median264372.51
Q3264705.83
95-th percentile270260.07
Maximum273375.05
Range34372.242
Interquartile range (IQR)2349.3096

Descriptive statistics

Standard deviation3796.0512
Coefficient of variation (CV)0.014396419
Kurtosis13.828101
Mean263680.25
Median Absolute Deviation (MAD)1011.3598
Skewness-2.1367789
Sum45089322
Variance14410005
MonotonicityNot monotonic
2023-12-11T04:42:47.757967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264601.46276 5
 
2.9%
263958.880864 4
 
2.3%
264628.838876 3
 
1.8%
264529.39356 3
 
1.8%
264520.837975 3
 
1.8%
264334.817637 2
 
1.2%
265407.404337 2
 
1.2%
264682.567328 2
 
1.2%
262886.177312 2
 
1.2%
264621.91494 2
 
1.2%
Other values (141) 143
83.6%
ValueCountFrequency (%)
239002.806117 1
0.6%
244431.023729 1
0.6%
255360.475912 1
0.6%
256424.622904 1
0.6%
256659.853925 1
0.6%
256727.021497 1
0.6%
256876.0 1
0.6%
257685.501182 1
0.6%
258317.904059 1
0.6%
258645.860959 1
0.6%
ValueCountFrequency (%)
273375.047803 1
0.6%
272684.9619 1
0.6%
272600.063881 1
0.6%
272431.249957 1
0.6%
271563.33218 1
0.6%
271486.362849 1
0.6%
271482.867326 1
0.6%
270521.203395 1
0.6%
270375.96425 1
0.6%
270144.181623 1
0.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반여행업
171 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반여행업 171
100.0%

Length

2023-12-11T04:42:47.946138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:48.100303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 171
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
152 
일반주거지역
 
5
일반상업지역
 
4
근린상업지역
 
3
주거지역
 
2
Other values (5)
 
5

Length

Max length6
Median length4
Mean length4.1871345
Min length4

Unique

Unique5 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 152
88.9%
일반주거지역 5
 
2.9%
일반상업지역 4
 
2.3%
근린상업지역 3
 
1.8%
주거지역 2
 
1.2%
중심상업지역 1
 
0.6%
전용주거지역 1
 
0.6%
상업지역 1
 
0.6%
일반공업지역 1
 
0.6%
자연녹지지역 1
 
0.6%

Length

2023-12-11T04:42:48.262144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:48.451020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
88.9%
일반주거지역 5
 
2.9%
일반상업지역 4
 
2.3%
근린상업지역 3
 
1.8%
주거지역 2
 
1.2%
중심상업지역 1
 
0.6%
전용주거지역 1
 
0.6%
상업지역 1
 
0.6%
일반공업지역 1
 
0.6%
자연녹지지역 1
 
0.6%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)40.0%
Missing156
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean3.6
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:48.590532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9.3
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6131535
Coefficient of variation (CV)0.72587598
Kurtosis2.4668214
Mean3.6
Median Absolute Deviation (MAD)1
Skewness1.6982245
Sum54
Variance6.8285714
MonotonicityNot monotonic
2023-12-11T04:42:48.723294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4
 
2.3%
4 4
 
2.3%
3 3
 
1.8%
1 2
 
1.2%
10 1
 
0.6%
9 1
 
0.6%
(Missing) 156
91.2%
ValueCountFrequency (%)
1 2
1.2%
2 4
2.3%
3 3
1.8%
4 4
2.3%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
10 1
 
0.6%
9 1
 
0.6%
4 4
2.3%
3 3
1.8%
2 4
2.3%
1 2
1.2%

주변환경명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing167
Missing (%)97.7%
Memory size1.5 KiB
2023-12-11T04:42:48.923434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5
Min length2

Characters and Unicode

Total characters20
Distinct characters19
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

Unique4 ?
Unique (%)100.0%

Sample

1st row기타
2nd row학교정화(상대)
3rd row아파트지역
4th row주택가주변
ValueCountFrequency (%)
기타 1
25.0%
학교정화(상대 1
25.0%
아파트지역 1
25.0%
주택가주변 1
25.0%
2023-12-11T04:42:49.320253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
 
10.0%
기 1
 
5.0%
아 1
 
5.0%
가 1
 
5.0%
택 1
 
5.0%
역 1
 
5.0%
지 1
 
5.0%
트 1
 
5.0%
파 1
 
5.0%
) 1
 
5.0%
Other values (9) 9
45.0%

Most occurring categories

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

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
 
11.1%
기 1
 
5.6%
아 1
 
5.6%
가 1
 
5.6%
택 1
 
5.6%
역 1
 
5.6%
지 1
 
5.6%
트 1
 
5.6%
파 1
 
5.6%
타 1
 
5.6%
Other values (7) 7
38.9%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

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

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
 
11.1%
기 1
 
5.6%
아 1
 
5.6%
가 1
 
5.6%
택 1
 
5.6%
역 1
 
5.6%
지 1
 
5.6%
트 1
 
5.6%
파 1
 
5.6%
타 1
 
5.6%
Other values (7) 7
38.9%
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 (%)
주 2
 
11.1%
기 1
 
5.6%
아 1
 
5.6%
가 1
 
5.6%
택 1
 
5.6%
역 1
 
5.6%
지 1
 
5.6%
트 1
 
5.6%
파 1
 
5.6%
타 1
 
5.6%
Other values (7) 7
38.9%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

보험기관명
Text

MISSING 

Distinct61
Distinct (%)43.9%
Missing32
Missing (%)18.7%
Memory size1.5 KiB
2023-12-11T04:42:49.621075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.597122
Min length4

Characters and Unicode

Total characters1612
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

Unique51 ?
Unique (%)36.7%

Sample

1st row관광협회
2nd row관광협회 504-81-67308
3rd row서울보증보험 504-86-11037
4th row한국관광협회중앙회
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 60
30.8%
관광협회 19
 
9.7%
한국관광협회중앙회 15
 
7.7%
한국관광협회 15
 
7.7%
서울보증보험주식회사 14
 
7.2%
여행공제회 8
 
4.1%
한국여행업협회 4
 
2.1%
서울보증 3
 
1.5%
서울보증보험(주 2
 
1.0%
관광공제회 2
 
1.0%
Other values (52) 53
27.2%
2023-12-11T04:42:50.118793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 161
 
10.0%
- 98
 
6.1%
회 97
 
6.0%
0 91
 
5.6%
서 82
 
5.1%
증 82
 
5.1%
울 82
 
5.1%
험 79
 
4.9%
8 78
 
4.8%
1 72
 
4.5%
Other values (30) 690
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 952
59.1%
Decimal Number 498
30.9%
Dash Punctuation 98
 
6.1%
Space Separator 56
 
3.5%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 161
16.9%
회 97
10.2%
서 82
8.6%
증 82
8.6%
울 82
8.6%
험 79
8.3%
광 57
 
6.0%
협 57
 
6.0%
관 55
 
5.8%
국 34
 
3.6%
Other values (15) 166
17.4%
Decimal Number
ValueCountFrequency (%)
0 91
18.3%
8 78
15.7%
1 72
14.5%
5 54
10.8%
4 46
9.2%
2 43
8.6%
3 34
 
6.8%
9 33
 
6.6%
6 28
 
5.6%
7 19
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Space Separator
ValueCountFrequency (%)
56
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 952
59.1%
Common 660
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 161
16.9%
회 97
10.2%
서 82
8.6%
증 82
8.6%
울 82
8.6%
험 79
8.3%
광 57
 
6.0%
협 57
 
6.0%
관 55
 
5.8%
국 34
 
3.6%
Other values (15) 166
17.4%
Common
ValueCountFrequency (%)
- 98
14.8%
0 91
13.8%
8 78
11.8%
1 72
10.9%
56
8.5%
5 54
8.2%
4 46
7.0%
2 43
6.5%
3 34
 
5.2%
9 33
 
5.0%
Other values (5) 55
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 952
59.1%
ASCII 660
40.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 161
16.9%
회 97
10.2%
서 82
8.6%
증 82
8.6%
울 82
8.6%
험 79
8.3%
광 57
 
6.0%
협 57
 
6.0%
관 55
 
5.8%
국 34
 
3.6%
Other values (15) 166
17.4%
ASCII
ValueCountFrequency (%)
- 98
14.8%
0 91
13.8%
8 78
11.8%
1 72
10.9%
56
8.5%
5 54
8.2%
4 46
7.0%
2 43
6.5%
3 34
 
5.2%
9 33
 
5.0%
Other values (5) 55
8.3%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
155 
근린생활시설
 
8
사무실
 
7
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0526316
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
90.6%
근린생활시설 8
 
4.7%
사무실 7
 
4.1%
문화시설 1
 
0.6%

Length

2023-12-11T04:42:50.311518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:50.458146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
90.6%
근린생활시설 8
 
4.7%
사무실 7
 
4.1%
문화시설 1
 
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)53.3%
Missing156
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean4.0666667
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:50.589662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q34.5
95-th percentile10.9
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6929792
Coefficient of variation (CV)0.90810963
Kurtosis1.3097807
Mean4.0666667
Median Absolute Deviation (MAD)2
Skewness1.4806287
Sum61
Variance13.638095
MonotonicityNot monotonic
2023-12-11T04:42:50.731582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4
 
2.3%
3 4
 
2.3%
2 2
 
1.2%
10 1
 
0.6%
9 1
 
0.6%
5 1
 
0.6%
13 1
 
0.6%
4 1
 
0.6%
(Missing) 156
91.2%
ValueCountFrequency (%)
1 4
2.3%
2 2
1.2%
3 4
2.3%
4 1
 
0.6%
5 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
13 1
 
0.6%
ValueCountFrequency (%)
13 1
 
0.6%
10 1
 
0.6%
9 1
 
0.6%
5 1
 
0.6%
4 1
 
0.6%
3 4
2.3%
2 2
1.2%
1 4
2.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
166 
1
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.9122807
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 166
97.1%
1 4
 
2.3%
2 1
 
0.6%

Length

2023-12-11T04:42:50.901854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:42:51.044932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
97.1%
1 4
 
2.3%
2 1
 
0.6%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

영문상호명
Text

MISSING 

Distinct83
Distinct (%)100.0%
Missing88
Missing (%)51.5%
Memory size1.5 KiB
2023-12-11T04:42:51.284683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.253012
Min length3

Characters and Unicode

Total characters1681
Distinct characters60
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

Unique83 ?
Unique (%)100.0%

Sample

1st rowCEYLON TOUR CO., LTD
2nd rowSMILE TOUR CO.,LTD
3rd rowGUKJE LUXURY TOUR CO.,LTD
4th rowYJ Medical Tour Co. Ltd
5th rowRadiant Korea CO.,LTD
ValueCountFrequency (%)
tour 40
 
15.0%
co.,ltd 35
 
13.2%
co 22
 
8.3%
ltd 22
 
8.3%
travel 9
 
3.4%
korea 4
 
1.5%
medi 4
 
1.5%
express 4
 
1.5%
daegu 3
 
1.1%
air 3
 
1.1%
Other values (116) 120
45.1%
2023-12-11T04:42:51.833905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
10.9%
O 130
 
7.7%
T 123
 
7.3%
L 87
 
5.2%
C 79
 
4.7%
R 74
 
4.4%
E 70
 
4.2%
D 70
 
4.2%
. 68
 
4.0%
U 65
 
3.9%
Other values (50) 731
43.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1054
62.7%
Lowercase Letter 303
 
18.0%
Space Separator 184
 
10.9%
Other Punctuation 131
 
7.8%
Dash Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Control 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 130
12.3%
T 123
11.7%
L 87
 
8.3%
C 79
 
7.5%
R 74
 
7.0%
E 70
 
6.6%
D 70
 
6.6%
U 65
 
6.2%
A 61
 
5.8%
N 49
 
4.6%
Other values (14) 246
23.3%
Lowercase Letter
ValueCountFrequency (%)
o 40
13.2%
e 30
9.9%
a 28
9.2%
r 26
8.6%
t 26
8.6%
n 22
 
7.3%
d 19
 
6.3%
u 19
 
6.3%
i 18
 
5.9%
c 11
 
3.6%
Other values (14) 64
21.1%
Other Punctuation
ValueCountFrequency (%)
. 68
51.9%
, 57
43.5%
& 5
 
3.8%
' 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1357
80.7%
Common 324
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 130
 
9.6%
T 123
 
9.1%
L 87
 
6.4%
C 79
 
5.8%
R 74
 
5.5%
E 70
 
5.2%
D 70
 
5.2%
U 65
 
4.8%
A 61
 
4.5%
N 49
 
3.6%
Other values (38) 549
40.5%
Common
ValueCountFrequency (%)
184
56.8%
. 68
 
21.0%
, 57
 
17.6%
& 5
 
1.5%
- 3
 
0.9%
' 1
 
0.3%
1
 
0.3%
2 1
 
0.3%
1 1
 
0.3%
( 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
 
10.9%
O 130
 
7.7%
T 123
 
7.3%
L 87
 
5.2%
C 79
 
4.7%
R 74
 
4.4%
E 70
 
4.2%
D 70
 
4.2%
. 68
 
4.0%
U 65
 
3.9%
Other values (50) 731
43.5%

영문상호주소
Categorical

Distinct13
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
87 
General travel business
56 
General Travel Agency
10 
Inbound Travel business
 
5
Inbound Travel Agency
 
5
Other values (8)
 
8

Length

Max length24
Median length4
Mean length13.081871
Min length4

Unique

Unique8 ?
Unique (%)4.7%

Sample

1st row<NA>
2nd rowInbound Travel business
3rd rowGeneral travel business
4th rowGeneral travel business
5th rowGeneral travel business

Common Values

ValueCountFrequency (%)
<NA> 87
50.9%
General travel business 56
32.7%
General Travel Agency 10
 
5.8%
Inbound Travel business 5
 
2.9%
Inbound Travel Agency 5
 
2.9%
Domestic travel business 1
 
0.6%
Inbound travel business 1
 
0.6%
GENERAL TRAVEL BUSINESS 1
 
0.6%
Inbound Travel Agent 1
 
0.6%
Inbound Travel Business 1
 
0.6%
Other values (3) 3
 
1.8%

Length

2023-12-11T04:42:52.034301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 87
25.7%
travel 84
24.9%
general 69
20.4%
business 67
19.8%
agency 15
 
4.4%
inbound 13
 
3.8%
agent 2
 
0.6%
domestic 1
 
0.3%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing145
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean790.10192
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:52.187809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.82
Q136.5175
median73.68
Q3135.81
95-th percentile544
Maximum17749
Range17729
Interquartile range (IQR)99.2925

Descriptive statistics

Standard deviation3461.3457
Coefficient of variation (CV)4.3808851
Kurtosis25.919001
Mean790.10192
Median Absolute Deviation (MAD)43.5
Skewness5.087697
Sum20542.65
Variance11980914
MonotonicityNot monotonic
2023-12-11T04:42:52.359872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20.0 2
 
1.2%
100.0 1
 
0.6%
70.78 1
 
0.6%
143.36 1
 
0.6%
17749.0 1
 
0.6%
50.0 1
 
0.6%
33.0 1
 
0.6%
23.28 1
 
0.6%
83.0 1
 
0.6%
376.0 1
 
0.6%
Other values (15) 15
 
8.8%
(Missing) 145
84.8%
ValueCountFrequency (%)
20.0 2
1.2%
23.28 1
0.6%
24.0 1
0.6%
27.25 1
0.6%
33.0 1
0.6%
35.11 1
0.6%
40.74 1
0.6%
42.34 1
0.6%
50.0 1
0.6%
66.0 1
0.6%
ValueCountFrequency (%)
17749.0 1
0.6%
600.0 1
0.6%
376.0 1
0.6%
248.62 1
0.6%
216.0 1
0.6%
143.36 1
0.6%
141.08 1
0.6%
120.0 1
0.6%
100.0 1
0.6%
86.4 1
0.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

자본금
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)29.3%
Missing38
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean3.7605265 × 108
Minimum1 × 108
Maximum1.7555271 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:52.503642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1 × 108
Q11 × 108
median2 × 108
Q32.05 × 108
95-th percentile7.2036756 × 108
Maximum1.7555271 × 1010
Range1.7455271 × 1010
Interquartile range (IQR)1.05 × 108

Descriptive statistics

Standard deviation1.5251596 × 109
Coefficient of variation (CV)4.0557075
Kurtosis124.56772
Mean3.7605265 × 108
Median Absolute Deviation (MAD)97500000
Skewness11.006645
Sum5.0015002 × 1010
Variance2.3261117 × 1018
MonotonicityNot monotonic
2023-12-11T04:42:52.658806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
200000000 48
28.1%
100000000 34
19.9%
350000000 7
 
4.1%
300000000 6
 
3.5%
500000000 3
 
1.8%
250000000 2
 
1.2%
205000000 1
 
0.6%
101342000 1
 
0.6%
100015658 1
 
0.6%
210000000 1
 
0.6%
Other values (29) 29
17.0%
(Missing) 38
22.2%
ValueCountFrequency (%)
100000000 34
19.9%
100015658 1
 
0.6%
100203849 1
 
0.6%
100950374 1
 
0.6%
101342000 1
 
0.6%
102500000 1
 
0.6%
103177936 1
 
0.6%
103206804 1
 
0.6%
103255460 1
 
0.6%
107500000 1
 
0.6%
ValueCountFrequency (%)
17555271330 1
 
0.6%
2000000000 1
 
0.6%
1632780554 1
 
0.6%
1396785871 1
 
0.6%
1100000000 1
 
0.6%
1000000000 1
 
0.6%
900000000 1
 
0.6%
600612597 1
 
0.6%
500000000 3
1.8%
450000000 1
 
0.6%

보험시작일자
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)96.0%
Missing22
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean20185343
Minimum20100517
Maximum20210209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:52.850535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20144481
Q120180321
median20190926
Q320200513
95-th percentile20201107
Maximum20210209
Range109692
Interquartile range (IQR)20192

Descriptive statistics

Standard deviation21198.431
Coefficient of variation (CV)0.0010501893
Kurtosis3.1920286
Mean20185343
Median Absolute Deviation (MAD)9800
Skewness-1.7598066
Sum3.0076161 × 109
Variance4.4937348 × 108
MonotonicityNot monotonic
2023-12-11T04:42:53.019347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200922 2
 
1.2%
20200328 2
 
1.2%
20200808 2
 
1.2%
20200413 2
 
1.2%
20200926 2
 
1.2%
20200513 2
 
1.2%
20151211 1
 
0.6%
20200824 1
 
0.6%
20160104 1
 
0.6%
20190328 1
 
0.6%
Other values (133) 133
77.8%
(Missing) 22
 
12.9%
ValueCountFrequency (%)
20100517 1
0.6%
20110101 1
0.6%
20111121 1
0.6%
20120319 1
0.6%
20130515 1
0.6%
20130917 1
0.6%
20131124 1
0.6%
20140726 1
0.6%
20150114 1
0.6%
20150703 1
0.6%
ValueCountFrequency (%)
20210209 1
0.6%
20210125 1
0.6%
20210109 1
0.6%
20201230 1
0.6%
20201229 1
0.6%
20201127 1
0.6%
20201109 1
0.6%
20201107 1
0.6%
20201106 1
0.6%
20201029 1
0.6%

보험종료일자
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)96.0%
Missing22
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean20195683
Minimum20110517
Maximum20220209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:53.215166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20154480
Q120190511
median20201025
Q320210515
95-th percentile20211107
Maximum20220209
Range109692
Interquartile range (IQR)20004

Descriptive statistics

Standard deviation21169.255
Coefficient of variation (CV)0.001048207
Kurtosis3.3430343
Mean20195683
Median Absolute Deviation (MAD)9691
Skewness-1.8088797
Sum3.0091567 × 109
Variance4.4813738 × 108
MonotonicityNot monotonic
2023-12-11T04:42:53.410375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210808 2
 
1.2%
20210412 2
 
1.2%
20210527 2
 
1.2%
20210327 2
 
1.2%
20210926 2
 
1.2%
20210922 2
 
1.2%
20200815 1
 
0.6%
20210515 1
 
0.6%
20210824 1
 
0.6%
20210316 1
 
0.6%
Other values (133) 133
77.8%
(Missing) 22
 
12.9%
ValueCountFrequency (%)
20110517 1
0.6%
20120101 1
0.6%
20121121 1
0.6%
20130319 1
0.6%
20140515 1
0.6%
20140916 1
0.6%
20141123 1
0.6%
20150725 1
0.6%
20160113 1
0.6%
20160703 1
0.6%
ValueCountFrequency (%)
20220209 1
0.6%
20220125 1
0.6%
20220109 1
0.6%
20211230 1
0.6%
20211229 1
0.6%
20211126 1
0.6%
20211108 1
0.6%
20211107 1
0.6%
20211106 1
0.6%
20211029 1
0.6%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.6 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)92.3%
Missing145
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean790.07692
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:42:53.582984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.75
Q136.5
median74
Q3135.75
95-th percentile544
Maximum17749
Range17729
Interquartile range (IQR)99.25

Descriptive statistics

Standard deviation3461.3519
Coefficient of variation (CV)4.3810315
Kurtosis25.918966
Mean790.07692
Median Absolute Deviation (MAD)43.5
Skewness5.0876921
Sum20542
Variance11980957
MonotonicityNot monotonic
2023-12-11T04:42:53.733181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
66 2
 
1.2%
20 2
 
1.2%
600 1
 
0.6%
71 1
 
0.6%
143 1
 
0.6%
17749 1
 
0.6%
50 1
 
0.6%
33 1
 
0.6%
23 1
 
0.6%
83 1
 
0.6%
Other values (14) 14
 
8.2%
(Missing) 145
84.8%
ValueCountFrequency (%)
20 2
1.2%
23 1
0.6%
24 1
0.6%
27 1
0.6%
33 1
0.6%
35 1
0.6%
41 1
0.6%
42 1
0.6%
50 1
0.6%
66 2
1.2%
ValueCountFrequency (%)
17749 1
0.6%
600 1
0.6%
376 1
0.6%
249 1
0.6%
216 1
0.6%
143 1
0.6%
141 1
0.6%
120 1
0.6%
100 1
0.6%
86 1
0.6%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01일반여행업03_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>344686.259338263958.880864일반여행업<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>
12일반여행업03_12_03_P3410000CDFI226004201100000320110907<NA>1영업/정상13영업중<NA><NA><NA><NA>053-428-2212<NA><NA>대구광역시 중구 대봉동 40-98번지 송죽미용실대구광역시 중구 동덕로 36-19, 송죽미용실 4층 (대봉동)41952(주)실론투어20200120153832U2020-01-22 02:40:00.0<NA>344223.636477264597.611089일반여행업<NA><NA><NA><NA><NA>관광협회 504-81-67308<NA><NA>1<NA><NA>CEYLON TOUR CO., LTDInbound Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020011720210117<NA><NA>
23일반여행업03_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>344326.500069264598.47234일반여행업<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>
34일반여행업03_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>344834.342272264443.735234일반여행업<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>
45일반여행업03_12_03_P3410000CDFI226004201700000720130816201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동3가 274-3번지대구광역시 중구 달구벌대로447길 34-11 (삼덕동3가)41948(주)와이제이 메디컬투어20191203134856U2019-12-06 02:40:00.0<NA>345205.451367263829.028985일반여행업<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>
56일반여행업03_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>343959.823762264529.39356일반여행업<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>
67일반여행업03_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>343436.311606264601.46276일반여행업<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>
78일반여행업03_12_03_P3410000CDFI226004201500000120150504201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>1544-7535<NA><NA>대구광역시 중구 공평동 16-32번지대구광역시 중구 동성로3길 91 (공평동, 근린생활시설)41938(주)코리아인투어20191203135226U2019-12-06 02:40:00.0<NA>344268.966084264432.966893일반여행업<NA><NA><NA><NA><NA>관광협회 511-88-00094<NA><NA><NA><NA><NA>Korea In Tour Co.,LtdGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002016051320170513<NA><NA>
89일반여행업03_12_03_P3410000CDFI226004201200000220120224201411114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>256-1900<NA>700826대구광역시 중구 남산동 598-26번지대구광역시 중구 2·28길 36, 2층 (남산동)700826(주)케이엠이20141111172620I2018-08-31 23:59:59.0<NA>343487.118676263259.765332일반여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>KME CO., LTDInbound Travel Agency<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3000000002012031920130319<NA><NA>
910일반여행업03_12_03_P3410000CDFI226004200900000220080911<NA>3폐업3폐업20131114<NA><NA><NA>053-719-0103<NA>700421대구광역시 중구 동인동1가 238-1번지대구광역시 중구 경상감영길 275 (동인동1가)700421(주)천눈애20131114170927I2018-08-31 23:59:59.0<NA>344643.136454264628.838876일반여행업<NA><NA>10<NA><NA>한국관광협회 중앙회<NA>102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3000000002011112120121121<NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
161162일반여행업03_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)20200629091900U2020-07-01 02:40:00.0<NA>338508.03969258645.860959일반여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002020043020210430<NA><NA>
162163일반여행업03_12_03_P3470000CDFI226004202000000420130502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 상인동 330 세정드림타운대구광역시 달서구 월배로32길 26, 3층 (상인동, 세정드림타운)42788주식회사 인테여행사20201228093042I2020-12-30 00:23:06.0<NA>338360.4434258317.904059일반여행업<NA><NA>4<NA><NA>서울보증보험(주)근린생활시설31<NA><NA>INTE TOUR CO,LTDGeneral Travel business<NA><NA><NA><NA><NA><NA><NA>23.28<NA><NA><NA><NA><NA><NA><NA><NA>2000000002020050520210504<NA>23
163164일반여행업03_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>332426.0567263147.567587일반여행업<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
164165일반여행업03_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>329040.790333239002.806117일반여행업<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
165166일반여행업03_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>347783.240397255360.475912일반여행업<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
166167일반여행업03_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>335089.0256876.0일반여행업<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
167168일반여행업03_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>334079.549213256424.622904일반여행업<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>
168169일반여행업03_12_03_P3480000CDFI226004201700000220151102<NA>1영업/정상13영업중<NA><NA><NA><NA>053-636-5868<NA><NA>대구광역시 달성군 화원읍 천내리 901-65번지 2층대구광역시 달성군 화원읍 명천로 173, 2층42961주식회사 여행트렁크20171117130300I2018-08-31 23:59:59.0<NA>335471.015558256659.853925일반여행업<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>
169170일반여행업03_12_03_P3480000CDFI226004201700000120170621<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 중리 503-1번지 210호대구광역시 달성군 현풍면 테크노공원로 17, 210호43017여행놀이터20170629091101I2018-08-31 23:59:59.0<NA>331515.646418244431.023729일반여행업<NA>일반상업지역<NA>아파트지역<NA>한국여행업협회사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70.78<NA><NA><NA><NA><NA><NA><NA><NA>1236400002017062120180620<NA>71
170171일반여행업03_12_03_P3480000CDFI226004202000000120200928<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4333-0430<NA><NA>대구광역시 달성군 화원읍 성산리 526대구광역시 달성군 화원읍 비슬로495길 2742946이안글로벌20200928144058I2020-09-30 00:23:11.0<NA>334497.543059256727.021497일반여행업<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