Overview

Dataset statistics

Number of variables63
Number of observations155
Missing cells5066
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory83.2 KiB
Average record size in memory549.8 B

Variable types

Numeric16
Categorical13
Text8
Unsupported25
DateTime1

Dataset

Description6270000_대구광역시_03_12_03_P_일반여행업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078251&dataSetDetailId=DDI_0000078261&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (85.0%)Imbalance
영업상태구분코드 is highly imbalanced (52.3%)Imbalance
영업상태명 is highly imbalanced (52.3%)Imbalance
상세영업상태코드 is highly imbalanced (52.3%)Imbalance
상세영업상태명 is highly imbalanced (52.3%)Imbalance
지역구분명 is highly imbalanced (76.6%)Imbalance
건물용도명 is highly imbalanced (73.7%)Imbalance
지하층수 is highly imbalanced (87.8%)Imbalance
폐업일자 has 138 (89.0%) missing valuesMissing
휴업시작일자 has 155 (100.0%) missing valuesMissing
휴업종료일자 has 155 (100.0%) missing valuesMissing
재개업일자 has 155 (100.0%) missing valuesMissing
소재지전화 has 51 (32.9%) missing valuesMissing
소재지면적 has 155 (100.0%) missing valuesMissing
소재지우편번호 has 116 (74.8%) missing valuesMissing
도로명우편번호 has 3 (1.9%) missing valuesMissing
업태구분명 has 155 (100.0%) missing valuesMissing
문화사업자구분명 has 155 (100.0%) missing valuesMissing
총층수 has 142 (91.6%) missing valuesMissing
주변환경명 has 152 (98.1%) missing valuesMissing
제작취급품목내용 has 155 (100.0%) missing valuesMissing
보험기관명 has 29 (18.7%) missing valuesMissing
지상층수 has 141 (91.0%) missing valuesMissing
객실수 has 155 (100.0%) missing valuesMissing
건축연면적 has 155 (100.0%) missing valuesMissing
영문상호명 has 87 (56.1%) missing valuesMissing
선박총톤수 has 155 (100.0%) missing valuesMissing
선박척수 has 155 (100.0%) missing valuesMissing
선박제원 has 155 (100.0%) missing valuesMissing
무대면적 has 155 (100.0%) missing valuesMissing
좌석수 has 155 (100.0%) missing valuesMissing
기념품종류 has 155 (100.0%) missing valuesMissing
회의실별동시수용인원 has 155 (100.0%) missing valuesMissing
시설면적 has 132 (85.2%) missing valuesMissing
놀이기구수내역 has 155 (100.0%) missing valuesMissing
놀이시설수 has 155 (100.0%) missing valuesMissing
방송시설유무 has 155 (100.0%) missing valuesMissing
발전시설유무 has 155 (100.0%) missing valuesMissing
의무실유무 has 155 (100.0%) missing valuesMissing
안내소유무 has 155 (100.0%) missing valuesMissing
기획여행보험시작일자 has 155 (100.0%) missing valuesMissing
기획여행보험종료일자 has 155 (100.0%) missing valuesMissing
자본금 has 30 (19.4%) missing valuesMissing
보험시작일자 has 19 (12.3%) missing valuesMissing
보험종료일자 has 19 (12.3%) missing valuesMissing
부대시설내역 has 155 (100.0%) missing valuesMissing
시설규모 has 132 (85.2%) 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 started2024-04-20 18:47:09.935480
Analysis finished2024-04-20 18:47:11.307182
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78
Minimum1
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:11.491688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q139.5
median78
Q3116.5
95-th percentile147.3
Maximum155
Range154
Interquartile range (IQR)77

Descriptive statistics

Standard deviation44.888751
Coefficient of variation (CV)0.57549681
Kurtosis-1.2
Mean78
Median Absolute Deviation (MAD)39
Skewness0
Sum12090
Variance2015
MonotonicityStrictly increasing
2024-04-21T03:47:11.935561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
108 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
109 1
 
0.6%
Other values (145) 145
93.5%
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 (%)
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반여행업
155 

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 155
100.0%

Length

2024-04-21T03:47:12.356438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:12.661340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 155
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
03_12_03_P
155 

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 155
100.0%

Length

2024-04-21T03:47:12.878393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:13.088932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 155
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435935.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:13.233833image/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 deviation24959.624
Coefficient of variation (CV)0.0072642877
Kurtosis-1.5633564
Mean3435935.5
Median Absolute Deviation (MAD)20000
Skewness0.27213508
Sum5.3257 × 108
Variance6.2298282 × 108
MonotonicityIncreasing
2024-04-21T03:47:13.430776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 56
36.1%
3460000 28
18.1%
3420000 21
 
13.5%
3470000 17
 
11.0%
3450000 16
 
10.3%
3480000 7
 
4.5%
3440000 6
 
3.9%
3430000 4
 
2.6%
ValueCountFrequency (%)
3410000 56
36.1%
3420000 21
 
13.5%
3430000 4
 
2.6%
3440000 6
 
3.9%
3450000 16
 
10.3%
3460000 28
18.1%
3470000 17
 
11.0%
3480000 7
 
4.5%
ValueCountFrequency (%)
3480000 7
 
4.5%
3470000 17
 
11.0%
3460000 28
18.1%
3450000 16
 
10.3%
3440000 6
 
3.9%
3430000 4
 
2.6%
3420000 21
 
13.5%
3410000 56
36.1%

관리번호
Text

Distinct70
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T03:47:14.057513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3100
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

Unique30 ?
Unique (%)19.4%

Sample

1st rowCDFI2260042017000001
2nd rowCDFI2260042019000005
3rd rowCDFI2260042009000001
4th rowCDFI2260042015000003
5th rowCDFI2260042017000010
ValueCountFrequency (%)
cdfi2260042017000002 7
 
4.5%
cdfi2260042016000001 6
 
3.9%
cdfi2260042018000001 6
 
3.9%
cdfi2260042019000001 6
 
3.9%
cdfi2260042016000002 5
 
3.2%
cdfi2260042018000003 5
 
3.2%
cdfi2260042017000001 5
 
3.2%
cdfi2260042016000003 4
 
2.6%
cdfi2260042015000001 4
 
2.6%
cdfi2260042019000003 4
 
2.6%
Other values (60) 103
66.5%
2024-04-21T03:47:15.086156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1252
40.4%
2 511
16.5%
1 205
 
6.6%
6 193
 
6.2%
4 177
 
5.7%
C 155
 
5.0%
D 155
 
5.0%
F 155
 
5.0%
I 155
 
5.0%
7 33
 
1.1%
Other values (4) 109
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2480
80.0%
Uppercase Letter 620
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1252
50.5%
2 511
20.6%
1 205
 
8.3%
6 193
 
7.8%
4 177
 
7.1%
7 33
 
1.3%
8 28
 
1.1%
3 28
 
1.1%
9 27
 
1.1%
5 26
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 155
25.0%
D 155
25.0%
F 155
25.0%
I 155
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2480
80.0%
Latin 620
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1252
50.5%
2 511
20.6%
1 205
 
8.3%
6 193
 
7.8%
4 177
 
7.1%
7 33
 
1.3%
8 28
 
1.1%
3 28
 
1.1%
9 27
 
1.1%
5 26
 
1.0%
Latin
ValueCountFrequency (%)
C 155
25.0%
D 155
25.0%
F 155
25.0%
I 155
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1252
40.4%
2 511
16.5%
1 205
 
6.6%
6 193
 
6.2%
4 177
 
5.7%
C 155
 
5.0%
D 155
 
5.0%
F 155
 
5.0%
I 155
 
5.0%
7 33
 
1.1%
Other values (4) 109
 
3.5%

인허가일자
Real number (ℝ)

Distinct148
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20147028
Minimum19981030
Maximum20191125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:15.339067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20077887
Q120120960
median20160309
Q320171024
95-th percentile20190326
Maximum20191125
Range210095
Interquartile range (IQR)50063.5

Descriptive statistics

Standard deviation37213.028
Coefficient of variation (CV)0.0018470728
Kurtosis2.6265268
Mean20147028
Median Absolute Deviation (MAD)20092
Skewness-1.4064715
Sum3.1227893 × 109
Variance1.3848094 × 109
MonotonicityNot monotonic
2024-04-21T03:47:15.596200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170105 2
 
1.3%
20170914 2
 
1.3%
20160309 2
 
1.3%
20160607 2
 
1.3%
20160802 2
 
1.3%
20120110 2
 
1.3%
20160817 2
 
1.3%
20130528 1
 
0.6%
20151119 1
 
0.6%
20120727 1
 
0.6%
Other values (138) 138
89.0%
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 (%)
20191125 1
0.6%
20191118 1
0.6%
20191115 1
0.6%
20191029 1
0.6%
20190820 1
0.6%
20190514 1
0.6%
20190509 1
0.6%
20190327 1
0.6%
20190326 1
0.6%
20190314 1
0.6%

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
148 
20191120
 
3
20190211
 
2
20120522
 
1
20141111
 
1

Length

Max length8
Median length4
Mean length4.1806452
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 148
95.5%
20191120 3
 
1.9%
20190211 2
 
1.3%
20120522 1
 
0.6%
20141111 1
 
0.6%

Length

2024-04-21T03:47:15.848116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:16.059888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
95.5%
20191120 3
 
1.9%
20190211 2
 
1.3%
20120522 1
 
0.6%
20141111 1
 
0.6%

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
131 
3
17 
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
1 131
84.5%
3 17
 
11.0%
4 7
 
4.5%

Length

2024-04-21T03:47:16.296627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:16.613278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 131
84.5%
3 17
 
11.0%
4 7
 
4.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
131 
폐업
17 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length5
Mean length5.0774194
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 row폐업

Common Values

ValueCountFrequency (%)
영업/정상 131
84.5%
폐업 17
 
11.0%
취소/말소/만료/정지/중지 7
 
4.5%

Length

2024-04-21T03:47:16.991968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:17.327404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 131
84.5%
폐업 17
 
11.0%
취소/말소/만료/정지/중지 7
 
4.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
13
131 
3
17 
31
 
7

Length

Max length2
Median length2
Mean length1.8903226
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row13
3rd row31
4th row31
5th row3

Common Values

ValueCountFrequency (%)
13 131
84.5%
3 17
 
11.0%
31 7
 
4.5%

Length

2024-04-21T03:47:17.704459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:18.032223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 131
84.5%
3 17
 
11.0%
31 7
 
4.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
131 
폐업
17 
등록취소
 
7

Length

Max length4
Median length3
Mean length2.9354839
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 131
84.5%
폐업 17
 
11.0%
등록취소 7
 
4.5%

Length

2024-04-21T03:47:18.418232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:18.767116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 131
84.5%
폐업 17
 
11.0%
등록취소 7
 
4.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing138
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean20159469
Minimum20110720
Maximum20190725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:19.082386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110720
5-th percentile20126385
Q120141008
median20170109
Q320180228
95-th percentile20190399
Maximum20190725
Range80005
Interquartile range (IQR)39220

Descriptive statistics

Standard deviation24134.049
Coefficient of variation (CV)0.001197157
Kurtosis-0.8446078
Mean20159469
Median Absolute Deviation (MAD)11111
Skewness-0.5353543
Sum3.4271096 × 108
Variance5.8245234 × 108
MonotonicityNot monotonic
2024-04-21T03:47:19.479091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20110720 1
 
0.6%
20170516 1
 
0.6%
20181220 1
 
0.6%
20180228 1
 
0.6%
20170109 1
 
0.6%
20190725 1
 
0.6%
20130513 1
 
0.6%
20160413 1
 
0.6%
20190318 1
 
0.6%
20141121 1
 
0.6%
Other values (7) 7
 
4.5%
(Missing) 138
89.0%
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 (%)
20190725 1
0.6%
20190318 1
0.6%
20181220 1
0.6%
20180502 1
0.6%
20180228 1
0.6%
20171114 1
0.6%
20170623 1
0.6%
20170516 1
0.6%
20170109 1
0.6%
20160420 1
0.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

소재지전화
Text

MISSING 

Distinct101
Distinct (%)97.1%
Missing51
Missing (%)32.9%
Memory size1.3 KiB
2024-04-21T03:47:20.297423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.269231
Min length8

Characters and Unicode

Total characters1172
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)94.2%

Sample

1st row053-255-2779
2nd row053-254-7475
3rd row053-428-0666
4th row053-215-3355
5th row053-425-9668
ValueCountFrequency (%)
053 14
 
11.2%
053-216-6000 2
 
1.6%
327-2888 2
 
1.6%
053-215-3355 2
 
1.6%
0532620610 1
 
0.8%
007076352401 1
 
0.8%
053-554-2525 1
 
0.8%
0533249090 1
 
0.8%
053-770-5411 1
 
0.8%
053-745-4111 1
 
0.8%
Other values (99) 99
79.2%
2024-04-21T03:47:21.484454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 207
17.7%
5 182
15.5%
3 144
12.3%
- 134
11.4%
2 112
9.6%
4 82
 
7.0%
1 67
 
5.7%
7 65
 
5.5%
8 61
 
5.2%
6 58
 
4.9%
Other values (2) 60
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1017
86.8%
Dash Punctuation 134
 
11.4%
Space Separator 21
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 207
20.4%
5 182
17.9%
3 144
14.2%
2 112
11.0%
4 82
 
8.1%
1 67
 
6.6%
7 65
 
6.4%
8 61
 
6.0%
6 58
 
5.7%
9 39
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1172
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 207
17.7%
5 182
15.5%
3 144
12.3%
- 134
11.4%
2 112
9.6%
4 82
 
7.0%
1 67
 
5.7%
7 65
 
5.5%
8 61
 
5.2%
6 58
 
4.9%
Other values (2) 60
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 207
17.7%
5 182
15.5%
3 144
12.3%
- 134
11.4%
2 112
9.6%
4 82
 
7.0%
1 67
 
5.7%
7 65
 
5.5%
8 61
 
5.2%
6 58
 
4.9%
Other values (2) 60
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing116
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean702578.26
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:21.710597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700150
5-th percentile700297
Q1700421.5
median701750
Q3704464
95-th percentile706824.3
Maximum711861
Range11711
Interquartile range (IQR)4042.5

Descriptive statistics

Standard deviation2746.1594
Coefficient of variation (CV)0.0039086882
Kurtosis1.9079422
Mean702578.26
Median Absolute Deviation (MAD)1329
Skewness1.4158083
Sum27400552
Variance7541391.2
MonotonicityNot monotonic
2024-04-21T03:47:21.941073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
700421 5
 
3.2%
700422 3
 
1.9%
711861 1
 
0.6%
704120 1
 
0.6%
704808 1
 
0.6%
704938 1
 
0.6%
706722 1
 
0.6%
706801 1
 
0.6%
703800 1
 
0.6%
706836 1
 
0.6%
Other values (23) 23
 
14.8%
(Missing) 116
74.8%
ValueCountFrequency (%)
700150 1
 
0.6%
700180 1
 
0.6%
700310 1
 
0.6%
700411 1
 
0.6%
700412 1
 
0.6%
700421 5
3.2%
700422 3
1.9%
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

Distinct140
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T03:47:23.056981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length23.793548
Min length13

Characters and Unicode

Total characters3688
Distinct characters163
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

Unique129 ?
Unique (%)83.2%

Sample

1st row대구광역시 중구 서문로1가 69-1번지
2nd row대구광역시 중구 대봉동 47-21번지
3rd row대구광역시 중구 삼덕동2가 210-1번지 진석타워 606호
4th row대구광역시 중구 동인동2가 108-17번지 3층
5th row대구광역시 중구 서문로1가 69-1번지
ValueCountFrequency (%)
대구광역시 155
22.6%
중구 56
 
8.2%
수성구 28
 
4.1%
동구 21
 
3.1%
달서구 17
 
2.5%
북구 16
 
2.3%
신천동 12
 
1.7%
동인동1가 9
 
1.3%
달성군 7
 
1.0%
남구 6
 
0.9%
Other values (261) 360
52.4%
2024-04-21T03:47:24.376652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
675
18.3%
구 313
 
8.5%
동 186
 
5.0%
1 177
 
4.8%
대 173
 
4.7%
역 156
 
4.2%
시 156
 
4.2%
광 155
 
4.2%
지 151
 
4.1%
번 145
 
3.9%
Other values (153) 1401
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2173
58.9%
Decimal Number 704
 
19.1%
Space Separator 675
 
18.3%
Dash Punctuation 129
 
3.5%
Uppercase Letter 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 313
14.4%
동 186
 
8.6%
대 173
 
8.0%
역 156
 
7.2%
시 156
 
7.2%
광 155
 
7.1%
지 151
 
6.9%
번 145
 
6.7%
중 59
 
2.7%
성 50
 
2.3%
Other values (136) 629
28.9%
Decimal Number
ValueCountFrequency (%)
1 177
25.1%
2 116
16.5%
3 74
10.5%
0 55
 
7.8%
8 53
 
7.5%
7 50
 
7.1%
5 49
 
7.0%
9 48
 
6.8%
6 45
 
6.4%
4 37
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
T 2
50.0%
Space Separator
ValueCountFrequency (%)
675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2173
58.9%
Common 1511
41.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 313
14.4%
동 186
 
8.6%
대 173
 
8.0%
역 156
 
7.2%
시 156
 
7.2%
광 155
 
7.1%
지 151
 
6.9%
번 145
 
6.7%
중 59
 
2.7%
성 50
 
2.3%
Other values (136) 629
28.9%
Common
ValueCountFrequency (%)
675
44.7%
1 177
 
11.7%
- 129
 
8.5%
2 116
 
7.7%
3 74
 
4.9%
0 55
 
3.6%
8 53
 
3.5%
7 50
 
3.3%
5 49
 
3.2%
9 48
 
3.2%
Other values (5) 85
 
5.6%
Latin
ValueCountFrequency (%)
K 2
50.0%
T 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2173
58.9%
ASCII 1515
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
675
44.6%
1 177
 
11.7%
- 129
 
8.5%
2 116
 
7.7%
3 74
 
4.9%
0 55
 
3.6%
8 53
 
3.5%
7 50
 
3.3%
5 49
 
3.2%
9 48
 
3.2%
Other values (7) 89
 
5.9%
Hangul
ValueCountFrequency (%)
구 313
14.4%
동 186
 
8.6%
대 173
 
8.0%
역 156
 
7.2%
시 156
 
7.2%
광 155
 
7.1%
지 151
 
6.9%
번 145
 
6.7%
중 59
 
2.7%
성 50
 
2.3%
Other values (136) 629
28.9%

도로명전체주소
Text

Distinct150
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T03:47:25.748745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length30.083871
Min length20

Characters and Unicode

Total characters4663
Distinct characters215
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

Unique146 ?
Unique (%)94.2%

Sample

1st row대구광역시 중구 경상감영길 28 (서문로1가)
2nd row대구광역시 중구 동덕로 54, 306호 (대봉동)
3rd row대구광역시 중구 동덕로 115, 606호 (삼덕동2가)
4th row대구광역시 중구 국채보상로 673, 3층 (동인동2가)
5th row대구광역시 중구 경상감영길 28 (서문로1가)
ValueCountFrequency (%)
대구광역시 155
 
16.7%
중구 56
 
6.0%
수성구 28
 
3.0%
2층 22
 
2.4%
동구 21
 
2.3%
3층 17
 
1.8%
달서구 17
 
1.8%
국채보상로 17
 
1.8%
북구 16
 
1.7%
경상감영길 13
 
1.4%
Other values (368) 567
61.0%
2024-04-21T03:47:27.363094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
775
 
16.6%
구 329
 
7.1%
동 221
 
4.7%
대 196
 
4.2%
1 185
 
4.0%
시 160
 
3.4%
광 158
 
3.4%
역 157
 
3.4%
( 151
 
3.2%
) 151
 
3.2%
Other values (205) 2180
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2701
57.9%
Space Separator 775
 
16.6%
Decimal Number 739
 
15.8%
Open Punctuation 151
 
3.2%
Close Punctuation 151
 
3.2%
Other Punctuation 121
 
2.6%
Dash Punctuation 23
 
0.5%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 329
 
12.2%
동 221
 
8.2%
대 196
 
7.3%
시 160
 
5.9%
광 158
 
5.8%
역 157
 
5.8%
로 151
 
5.6%
성 68
 
2.5%
중 65
 
2.4%
층 64
 
2.4%
Other values (187) 1132
41.9%
Decimal Number
ValueCountFrequency (%)
1 185
25.0%
2 135
18.3%
3 76
10.3%
5 69
 
9.3%
4 50
 
6.8%
6 48
 
6.5%
8 45
 
6.1%
9 45
 
6.1%
7 43
 
5.8%
0 43
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 120
99.2%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
775
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2701
57.9%
Common 1961
42.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 329
 
12.2%
동 221
 
8.2%
대 196
 
7.3%
시 160
 
5.9%
광 158
 
5.8%
역 157
 
5.8%
로 151
 
5.6%
성 68
 
2.5%
중 65
 
2.4%
층 64
 
2.4%
Other values (187) 1132
41.9%
Common
ValueCountFrequency (%)
775
39.5%
1 185
 
9.4%
( 151
 
7.7%
) 151
 
7.7%
2 135
 
6.9%
, 120
 
6.1%
3 76
 
3.9%
5 69
 
3.5%
4 50
 
2.5%
6 48
 
2.4%
Other values (7) 201
 
10.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2701
57.9%
ASCII 1961
42.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
775
39.5%
1 185
 
9.4%
( 151
 
7.7%
) 151
 
7.7%
2 135
 
6.9%
, 120
 
6.1%
3 76
 
3.9%
5 69
 
3.5%
4 50
 
2.5%
6 48
 
2.4%
Other values (7) 201
 
10.2%
Hangul
ValueCountFrequency (%)
구 329
 
12.2%
동 221
 
8.2%
대 196
 
7.3%
시 160
 
5.9%
광 158
 
5.8%
역 157
 
5.8%
로 151
 
5.6%
성 68
 
2.5%
중 65
 
2.4%
층 64
 
2.4%
Other values (187) 1132
41.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)73.7%
Missing3
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean76714.224
Minimum41117
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:27.601533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41117
5-th percentile41201.35
Q141895.25
median41939
Q342317
95-th percentile338844.3
Maximum706836
Range665719
Interquartile range (IQR)421.75

Descriptive statistics

Standard deviation147841.32
Coefficient of variation (CV)1.9271696
Kurtosis14.570022
Mean76714.224
Median Absolute Deviation (MAD)264.5
Skewness4.0469822
Sum11660562
Variance2.1857056 × 1010
MonotonicityNot monotonic
2024-04-21T03:47:27.991364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 7
 
4.5%
41919 5
 
3.2%
41921 5
 
3.2%
41940 4
 
2.6%
41913 4
 
2.6%
41937 3
 
1.9%
41933 3
 
1.9%
41447 2
 
1.3%
42038 2
 
1.3%
41229 2
 
1.3%
Other values (102) 115
74.2%
(Missing) 3
 
1.9%
ValueCountFrequency (%)
41117 2
1.3%
41121 1
0.6%
41143 1
0.6%
41145 1
0.6%
41147 1
0.6%
41164 1
0.6%
41170 1
0.6%
41227 1
0.6%
41229 2
1.3%
41242 2
1.3%
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 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T03:47:28.926877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.9354839
Min length2

Characters and Unicode

Total characters1385
Distinct characters247
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

Unique155 ?
Unique (%)100.0%

Sample

1st row(주)세븐레이즈투어
2nd row주식회사 아는여행사
3rd row(주)웰빙투어
4th row(주)국제럭셔리 여행사
5th row다국적의료관광통역사협동조합
ValueCountFrequency (%)
주식회사 23
 
11.0%
여행사 3
 
1.4%
코리아 2
 
1.0%
주 2
 
1.0%
투어 2
 
1.0%
고구마 1
 
0.5%
대덕고속관광 1
 
0.5%
주)아름다운 1
 
0.5%
사람과 1
 
0.5%
길 1
 
0.5%
Other values (173) 173
82.4%
2024-04-21T03:47:30.222162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 123
 
8.9%
( 97
 
7.0%
) 97
 
7.0%
55
 
4.0%
사 55
 
4.0%
어 45
 
3.2%
투 44
 
3.2%
행 37
 
2.7%
여 36
 
2.6%
이 31
 
2.2%
Other values (237) 765
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1095
79.1%
Open Punctuation 97
 
7.0%
Close Punctuation 97
 
7.0%
Space Separator 55
 
4.0%
Uppercase Letter 28
 
2.0%
Other Punctuation 6
 
0.4%
Lowercase Letter 6
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 123
 
11.2%
사 55
 
5.0%
어 45
 
4.1%
투 44
 
4.0%
행 37
 
3.4%
여 36
 
3.3%
이 31
 
2.8%
관 30
 
2.7%
광 30
 
2.7%
회 27
 
2.5%
Other values (212) 637
58.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
14.3%
C 4
14.3%
L 3
10.7%
O 3
10.7%
D 2
7.1%
K 2
7.1%
R 2
7.1%
A 2
7.1%
U 2
7.1%
M 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
d 1
16.7%
t 1
16.7%
p 1
16.7%
a 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1095
79.1%
Common 256
 
18.5%
Latin 34
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 123
 
11.2%
사 55
 
5.0%
어 45
 
4.1%
투 44
 
4.0%
행 37
 
3.4%
여 36
 
3.3%
이 31
 
2.8%
관 30
 
2.7%
광 30
 
2.7%
회 27
 
2.5%
Other values (212) 637
58.2%
Latin
ValueCountFrequency (%)
T 4
11.8%
C 4
11.8%
L 3
 
8.8%
O 3
 
8.8%
D 2
 
5.9%
K 2
 
5.9%
R 2
 
5.9%
A 2
 
5.9%
U 2
 
5.9%
M 1
 
2.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
( 97
37.9%
) 97
37.9%
55
21.5%
. 4
 
1.6%
, 2
 
0.8%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1095
79.1%
ASCII 290
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 123
 
11.2%
사 55
 
5.0%
어 45
 
4.1%
투 44
 
4.0%
행 37
 
3.4%
여 36
 
3.3%
이 31
 
2.8%
관 30
 
2.7%
광 30
 
2.7%
회 27
 
2.5%
Other values (212) 637
58.2%
ASCII
ValueCountFrequency (%)
( 97
33.4%
) 97
33.4%
55
19.0%
. 4
 
1.4%
T 4
 
1.4%
C 4
 
1.4%
L 3
 
1.0%
O 3
 
1.0%
, 2
 
0.7%
D 2
 
0.7%
Other values (15) 19
 
6.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0182893 × 1013
Minimum2.011072 × 1013
Maximum2.0191127 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:30.571081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0154636 × 1013
Q12.0180519 × 1013
median2.0190328 × 1013
Q32.0190725 × 1013
95-th percentile2.019112 × 1013
Maximum2.0191127 × 1013
Range8.0406963 × 1010
Interquartile range (IQR)1.0205537 × 1010

Descriptive statistics

Standard deviation1.4364113 × 1010
Coefficient of variation (CV)0.00071169745
Kurtosis8.2316114
Mean2.0182893 × 1013
Median Absolute Deviation (MAD)7.019785 × 108
Skewness-2.726929
Sum3.1283483 × 1015
Variance2.0632775 × 1020
MonotonicityNot monotonic
2024-04-21T03:47:30.840843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190211094739 1
 
0.6%
20180419152912 1
 
0.6%
20160819181321 1
 
0.6%
20191125141250 1
 
0.6%
20190218160507 1
 
0.6%
20191127144216 1
 
0.6%
20190806090219 1
 
0.6%
20191127144250 1
 
0.6%
20190725154439 1
 
0.6%
20181224142309 1
 
0.6%
Other values (145) 145
93.5%
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 (%)
20191127144250 1
0.6%
20191127144216 1
0.6%
20191127144137 1
0.6%
20191127142651 1
0.6%
20191125141250 1
0.6%
20191122084649 1
0.6%
20191120145903 1
0.6%
20191120131502 1
0.6%
20191120131432 1
0.6%
20191120113555 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
U
96 
I
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 96
61.9%
I 59
38.1%

Length

2024-04-21T03:47:31.274024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:31.543781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 96
61.9%
i 59
38.1%

데이터갱신일자
Date

Distinct77
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2019-11-29 02:40:00
2024-04-21T03:47:31.732703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:47:31.990569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct135
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343868.95
Minimum329040.79
Maximum354570.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:32.474978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335356.41
Q1342963.08
median344381.81
Q3346347.45
95-th percentile349597.38
Maximum354570.44
Range25529.649
Interquartile range (IQR)3384.3681

Descriptive statistics

Standard deviation4181.7337
Coefficient of variation (CV)0.012160835
Kurtosis1.7580631
Mean343868.95
Median Absolute Deviation (MAD)1890.1737
Skewness-0.65391433
Sum53299687
Variance17486897
MonotonicityNot monotonic
2024-04-21T03:47:32.834626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343436.311606 5
 
3.2%
344686.259338 4
 
2.6%
343251.365403 3
 
1.9%
344643.136454 3
 
1.9%
343959.823762 3
 
1.9%
345273.624155 2
 
1.3%
344834.342272 2
 
1.3%
346347.445225 2
 
1.3%
344627.941806 2
 
1.3%
347037.24197 2
 
1.3%
Other values (125) 127
81.9%
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%
334642.743684 1
0.6%
335089.0 1
0.6%
335471.015558 1
0.6%
335741.371405 1
0.6%
ValueCountFrequency (%)
354570.439228 1
0.6%
354462.208404 2
1.3%
354375.109677 1
0.6%
350749.968249 1
0.6%
350354.422142 1
0.6%
350161.007979 1
0.6%
349638.028276 1
0.6%
349579.965051 1
0.6%
348665.873375 1
0.6%
348194.499421 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct135
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263656.57
Minimum239002.81
Maximum273375.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:33.238576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258804.35
Q1262340.83
median264372.51
Q3264676.69
95-th percentile270257.29
Maximum273375.05
Range34372.242
Interquartile range (IQR)2335.863

Descriptive statistics

Standard deviation3831.5309
Coefficient of variation (CV)0.01453228
Kurtosis14.707216
Mean263656.57
Median Absolute Deviation (MAD)927.53446
Skewness-2.2788567
Sum40866768
Variance14680629
MonotonicityNot monotonic
2024-04-21T03:47:33.678345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264601.46276 5
 
3.2%
263958.880864 4
 
2.6%
264520.837975 3
 
1.9%
264628.838876 3
 
1.9%
264529.39356 3
 
1.9%
262886.177312 2
 
1.3%
264443.735234 2
 
1.3%
261955.307514 2
 
1.3%
264621.91494 2
 
1.3%
265407.404337 2
 
1.3%
Other values (125) 127
81.9%
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%
256876.0 1
0.6%
257685.501182 1
0.6%
258645.860959 1
0.6%
258872.266996 1
0.6%
259065.976417 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%
270144.181623 1
0.6%
267214.752612 1
0.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반여행업
155 

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 155
100.0%

Length

2024-04-21T03:47:33.967841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:34.131332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 155
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
140 
일반주거지역
 
4
일반상업지역
 
4
근린상업지역
 
3
중심상업지역
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.1806452
Min length4

Unique

Unique4 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 140
90.3%
일반주거지역 4
 
2.6%
일반상업지역 4
 
2.6%
근린상업지역 3
 
1.9%
중심상업지역 1
 
0.6%
상업지역 1
 
0.6%
일반공업지역 1
 
0.6%
자연녹지지역 1
 
0.6%

Length

2024-04-21T03:47:34.329250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:34.551865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 140
90.3%
일반주거지역 4
 
2.6%
일반상업지역 4
 
2.6%
근린상업지역 3
 
1.9%
중심상업지역 1
 
0.6%
상업지역 1
 
0.6%
일반공업지역 1
 
0.6%
자연녹지지역 1
 
0.6%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)46.2%
Missing142
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean3.7692308
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:34.743235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q12
median3
Q34
95-th percentile9.4
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.712743
Coefficient of variation (CV)0.71970732
Kurtosis2.0682772
Mean3.7692308
Median Absolute Deviation (MAD)1
Skewness1.6788046
Sum49
Variance7.3589744
MonotonicityNot monotonic
2024-04-21T03:47:34.915086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4
 
2.6%
3 3
 
1.9%
4 3
 
1.9%
10 1
 
0.6%
9 1
 
0.6%
1 1
 
0.6%
(Missing) 142
91.6%
ValueCountFrequency (%)
1 1
 
0.6%
2 4
2.6%
3 3
1.9%
4 3
1.9%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
10 1
 
0.6%
9 1
 
0.6%
4 3
1.9%
3 3
1.9%
2 4
2.6%
1 1
 
0.6%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing152
Missing (%)98.1%
Memory size1.3 KiB
2024-04-21T03:47:35.383910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters15
Distinct characters15
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

Unique3 ?
Unique (%)100.0%

Sample

1st row기타
2nd row학교정화(상대)
3rd row아파트지역
ValueCountFrequency (%)
기타 1
33.3%
학교정화(상대 1
33.3%
아파트지역 1
33.3%
2024-04-21T03:47:36.072880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
 
6.7%
타 1
 
6.7%
학 1
 
6.7%
교 1
 
6.7%
정 1
 
6.7%
화 1
 
6.7%
( 1
 
6.7%
상 1
 
6.7%
대 1
 
6.7%
) 1
 
6.7%
Other values (5) 5
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
86.7%
Open Punctuation 1
 
6.7%
Close Punctuation 1
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
 
7.7%
타 1
 
7.7%
학 1
 
7.7%
교 1
 
7.7%
정 1
 
7.7%
화 1
 
7.7%
상 1
 
7.7%
대 1
 
7.7%
아 1
 
7.7%
파 1
 
7.7%
Other values (3) 3
23.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
86.7%
Common 2
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
 
7.7%
타 1
 
7.7%
학 1
 
7.7%
교 1
 
7.7%
정 1
 
7.7%
화 1
 
7.7%
상 1
 
7.7%
대 1
 
7.7%
아 1
 
7.7%
파 1
 
7.7%
Other values (3) 3
23.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
86.7%
ASCII 2
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
 
7.7%
타 1
 
7.7%
학 1
 
7.7%
교 1
 
7.7%
정 1
 
7.7%
화 1
 
7.7%
상 1
 
7.7%
대 1
 
7.7%
아 1
 
7.7%
파 1
 
7.7%
Other values (3) 3
23.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

보험기관명
Text

MISSING 

Distinct55
Distinct (%)43.7%
Missing29
Missing (%)18.7%
Memory size1.3 KiB
2024-04-21T03:47:36.829755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.484127
Min length4

Characters and Unicode

Total characters1447
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

Unique47 ?
Unique (%)37.3%

Sample

1st row관광협회
2nd row한국관광협회중앙회
3rd row서울보증보험 818-88-00923
4th row관광협회
5th row서울보증보험 504-81-95139
ValueCountFrequency (%)
서울보증보험 53
29.8%
관광협회 20
 
11.2%
한국관광협회중앙회 14
 
7.9%
한국관광협회 14
 
7.9%
서울보증보험주식회사 11
 
6.2%
여행공제회 9
 
5.1%
한국여행업협회 4
 
2.2%
서울보증 3
 
1.7%
대구광역시관광협회 2
 
1.1%
501-81-13157 1
 
0.6%
Other values (47) 47
26.4%
2024-04-21T03:47:38.088660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 137
 
9.5%
회 92
 
6.4%
- 88
 
6.1%
0 85
 
5.9%
8 71
 
4.9%
울 70
 
4.8%
서 70
 
4.8%
증 70
 
4.8%
험 67
 
4.6%
1 61
 
4.2%
Other values (30) 636
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 855
59.1%
Decimal Number 448
31.0%
Dash Punctuation 88
 
6.1%
Space Separator 52
 
3.6%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 137
16.0%
회 92
10.8%
울 70
8.2%
서 70
8.2%
증 70
8.2%
험 67
7.8%
협 56
 
6.5%
광 54
 
6.3%
관 52
 
6.1%
국 32
 
3.7%
Other values (15) 155
18.1%
Decimal Number
ValueCountFrequency (%)
0 85
19.0%
8 71
15.8%
1 61
13.6%
5 47
10.5%
4 43
9.6%
2 35
7.8%
3 31
 
6.9%
9 30
 
6.7%
6 26
 
5.8%
7 19
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 855
59.1%
Common 592
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 137
16.0%
회 92
10.8%
울 70
8.2%
서 70
8.2%
증 70
8.2%
험 67
7.8%
협 56
 
6.5%
광 54
 
6.3%
관 52
 
6.1%
국 32
 
3.7%
Other values (15) 155
18.1%
Common
ValueCountFrequency (%)
- 88
14.9%
0 85
14.4%
8 71
12.0%
1 61
10.3%
52
8.8%
5 47
7.9%
4 43
7.3%
2 35
 
5.9%
3 31
 
5.2%
9 30
 
5.1%
Other values (5) 49
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 855
59.1%
ASCII 592
40.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 137
16.0%
회 92
10.8%
울 70
8.2%
서 70
8.2%
증 70
8.2%
험 67
7.8%
협 56
 
6.5%
광 54
 
6.3%
관 52
 
6.1%
국 32
 
3.7%
Other values (15) 155
18.1%
ASCII
ValueCountFrequency (%)
- 88
14.9%
0 85
14.4%
8 71
12.0%
1 61
10.3%
52
8.8%
5 47
7.9%
4 43
7.3%
2 35
 
5.9%
3 31
 
5.2%
9 30
 
5.1%
Other values (5) 49
8.3%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
142 
근린생활시설
 
6
사무실
 
6
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0387097
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> 142
91.6%
근린생활시설 6
 
3.9%
사무실 6
 
3.9%
문화시설 1
 
0.6%

Length

2024-04-21T03:47:38.522318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:38.860898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
91.6%
근린생활시설 6
 
3.9%
사무실 6
 
3.9%
문화시설 1
 
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)57.1%
Missing141
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean4.1428571
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:39.160924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q34.75
95-th percentile11.05
Maximum13
Range12
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.8201318
Coefficient of variation (CV)0.92210077
Kurtosis0.94336028
Mean4.1428571
Median Absolute Deviation (MAD)2
Skewness1.3886877
Sum58
Variance14.593407
MonotonicityNot monotonic
2024-04-21T03:47:39.504375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4
 
2.6%
3 3
 
1.9%
2 2
 
1.3%
10 1
 
0.6%
9 1
 
0.6%
5 1
 
0.6%
13 1
 
0.6%
4 1
 
0.6%
(Missing) 141
91.0%
ValueCountFrequency (%)
1 4
2.6%
2 2
1.3%
3 3
1.9%
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 3
1.9%
2 2
1.3%
1 4
2.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
151 
1
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.9225806
Min length1

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> 151
97.4%
1 3
 
1.9%
2 1
 
0.6%

Length

2024-04-21T03:47:39.907809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:40.240714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
97.4%
1 3
 
1.9%
2 1
 
0.6%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

영문상호명
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing87
Missing (%)56.1%
Memory size1.3 KiB
2024-04-21T03:47:41.204542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.558824
Min length5

Characters and Unicode

Total characters1398
Distinct characters56
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st rowSEVENRAYS TOUR CO.,LTD
2nd rowKnowing Travel Agency CO.,LTD
3rd rowGUKJE LUXURY TOUR CO.,LTD
4th rowInternational Medi Tour interpreters cooperative
5th rowMORNIG STAR TOUR CO., LTD
ValueCountFrequency (%)
tour 36
 
15.9%
co.,ltd 32
 
14.1%
ltd 19
 
8.4%
co 19
 
8.4%
travel 7
 
3.1%
express 4
 
1.8%
medi 4
 
1.8%
daegu 3
 
1.3%
korea 3
 
1.3%
hana 3
 
1.3%
Other values (93) 97
42.7%
2024-04-21T03:47:42.618832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
11.4%
T 105
 
7.5%
O 104
 
7.4%
L 71
 
5.1%
C 66
 
4.7%
R 64
 
4.6%
D 61
 
4.4%
E 59
 
4.2%
A 57
 
4.1%
U 56
 
4.0%
Other values (46) 595
42.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 877
62.7%
Lowercase Letter 248
 
17.7%
Space Separator 160
 
11.4%
Other Punctuation 107
 
7.7%
Decimal Number 3
 
0.2%
Dash Punctuation 2
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 105
12.0%
O 104
11.9%
L 71
 
8.1%
C 66
 
7.5%
R 64
 
7.3%
D 61
 
7.0%
E 59
 
6.7%
A 57
 
6.5%
U 56
 
6.4%
N 44
 
5.0%
Other values (14) 190
21.7%
Lowercase Letter
ValueCountFrequency (%)
o 32
12.9%
e 29
11.7%
t 26
10.5%
r 26
10.5%
a 21
8.5%
d 17
 
6.9%
i 16
 
6.5%
n 16
 
6.5%
u 12
 
4.8%
c 9
 
3.6%
Other values (13) 44
17.7%
Other Punctuation
ValueCountFrequency (%)
. 55
51.4%
, 50
46.7%
& 2
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1125
80.5%
Common 273
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 105
 
9.3%
O 104
 
9.2%
L 71
 
6.3%
C 66
 
5.9%
R 64
 
5.7%
D 61
 
5.4%
E 59
 
5.2%
A 57
 
5.1%
U 56
 
5.0%
N 44
 
3.9%
Other values (37) 438
38.9%
Common
ValueCountFrequency (%)
160
58.6%
. 55
 
20.1%
, 50
 
18.3%
& 2
 
0.7%
- 2
 
0.7%
2 1
 
0.4%
1 1
 
0.4%
1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1398
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
 
11.4%
T 105
 
7.5%
O 104
 
7.4%
L 71
 
5.1%
C 66
 
4.7%
R 64
 
4.6%
D 61
 
4.4%
E 59
 
4.2%
A 57
 
4.1%
U 56
 
4.0%
Other values (46) 595
42.6%

영문상호주소
Categorical

Distinct9
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
86 
General travel business
45 
General Travel Agency
10 
Inbound Travel business
 
5
Inbound Travel Agency
 
5
Other values (4)
 
4

Length

Max length23
Median length4
Mean length12.245161
Min length4

Unique

Unique4 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
55.5%
General travel business 45
29.0%
General Travel Agency 10
 
6.5%
Inbound Travel business 5
 
3.2%
Inbound Travel Agency 5
 
3.2%
Inbound travel business 1
 
0.6%
GENERAL TRAVEL BUSINESS 1
 
0.6%
Inbound Travel Agent 1
 
0.6%
Inbound Travel Business 1
 
0.6%

Length

2024-04-21T03:47:43.047089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:43.415303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
29.4%
travel 69
23.5%
general 56
19.1%
business 53
18.1%
agency 15
 
5.1%
inbound 13
 
4.4%
agent 1
 
0.3%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing132
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean881.88565
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:43.791033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24.325
Q141.54
median76.58
Q3130.54
95-th percentile577.6
Maximum17749
Range17729
Interquartile range (IQR)89

Descriptive statistics

Standard deviation3679.2936
Coefficient of variation (CV)4.1720756
Kurtosis22.931605
Mean881.88565
Median Absolute Deviation (MAD)41.47
Skewness4.7857237
Sum20283.37
Variance13537202
MonotonicityNot monotonic
2024-04-21T03:47:44.175414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
27.25 1
 
0.6%
70.78 1
 
0.6%
143.36 1
 
0.6%
33.0 1
 
0.6%
17749.0 1
 
0.6%
50.0 1
 
0.6%
20.0 1
 
0.6%
83.0 1
 
0.6%
376.0 1
 
0.6%
40.74 1
 
0.6%
Other values (13) 13
 
8.4%
(Missing) 132
85.2%
ValueCountFrequency (%)
20.0 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%
66.11 1
0.6%
ValueCountFrequency (%)
17749.0 1
0.6%
600.0 1
0.6%
376.0 1
0.6%
248.62 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%
84.0 1
0.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

자본금
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)29.6%
Missing30
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean3.9209989 × 108
Minimum1 × 108
Maximum1.7555271 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:44.566061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1 × 108
Q11.0095037 × 108
median2 × 108
Q32.1 × 108
95-th percentile8.4012252 × 108
Maximum1.7555271 × 1010
Range1.7455271 × 1010
Interquartile range (IQR)1.0904963 × 108

Descriptive statistics

Standard deviation1.5721793 × 109
Coefficient of variation (CV)4.0096397
Kurtosis117.16088
Mean3.9209989 × 108
Median Absolute Deviation (MAD)96793196
Skewness10.676256
Sum4.9012487 × 1010
Variance2.4717477 × 1018
MonotonicityNot monotonic
2024-04-21T03:47:44.991458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
200000000 46
29.7%
100000000 30
19.4%
350000000 7
 
4.5%
300000000 6
 
3.9%
500000000 3
 
1.9%
250000000 2
 
1.3%
205000000 1
 
0.6%
1632780554 1
 
0.6%
205412500 1
 
0.6%
159462957 1
 
0.6%
Other values (27) 27
17.4%
(Missing) 30
19.4%
ValueCountFrequency (%)
100000000 30
19.4%
100203849 1
 
0.6%
100950374 1
 
0.6%
101342000 1
 
0.6%
103177936 1
 
0.6%
103206804 1
 
0.6%
103255460 1
 
0.6%
107500000 1
 
0.6%
110000000 1
 
0.6%
110872928 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
1.9%
450000000 1
 
0.6%

보험시작일자
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)93.4%
Missing19
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean20178670
Minimum20100517
Maximum20191127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:45.422584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20138326
Q120170830
median20190110
Q320190606
95-th percentile20191023
Maximum20191127
Range90610
Interquartile range (IQR)19776

Descriptive statistics

Standard deviation18392.622
Coefficient of variation (CV)0.0009114883
Kurtosis4.7566479
Mean20178670
Median Absolute Deviation (MAD)1006
Skewness-2.1254523
Sum2.7442992 × 109
Variance3.3828855 × 108
MonotonicityNot monotonic
2024-04-21T03:47:45.861980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190926 2
 
1.3%
20170830 2
 
1.3%
20190619 2
 
1.3%
20190301 2
 
1.3%
20190922 2
 
1.3%
20190808 2
 
1.3%
20191107 2
 
1.3%
20180927 2
 
1.3%
20190328 2
 
1.3%
20190817 1
 
0.6%
Other values (117) 117
75.5%
(Missing) 19
 
12.3%
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 (%)
20191127 1
0.6%
20191126 1
0.6%
20191107 2
1.3%
20191106 1
0.6%
20191029 1
0.6%
20191025 1
0.6%
20191022 1
0.6%
20191012 1
0.6%
20191008 1
0.6%
20191001 1
0.6%

보험종료일자
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)94.1%
Missing19
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean20189116
Minimum20110517
Maximum20210527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:46.277209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20148324
Q120187866
median20200166
Q320200617
95-th percentile20201048
Maximum20210527
Range100010
Interquartile range (IQR)12751.75

Descriptive statistics

Standard deviation18479.558
Coefficient of variation (CV)0.00091532275
Kurtosis4.8370726
Mean20189116
Median Absolute Deviation (MAD)950
Skewness-2.152454
Sum2.7457198 × 109
Variance3.4149405 × 108
MonotonicityNot monotonic
2024-04-21T03:47:46.711018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200513 2
 
1.3%
20200922 2
 
1.3%
20201107 2
 
1.3%
20190926 2
 
1.3%
20201126 2
 
1.3%
20191108 2
 
1.3%
20200926 2
 
1.3%
20200808 2
 
1.3%
20190511 1
 
0.6%
20200618 1
 
0.6%
Other values (118) 118
76.1%
(Missing) 19
 
12.3%
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 (%)
20210527 1
0.6%
20201205 1
0.6%
20201126 2
1.3%
20201107 2
1.3%
20201106 1
0.6%
20201029 1
0.6%
20201025 1
0.6%
20201022 1
0.6%
20201012 1
0.6%
20201007 1
0.6%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing132
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean881.86957
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T03:47:47.083107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24.3
Q141.5
median77
Q3130.5
95-th percentile577.6
Maximum17749
Range17729
Interquartile range (IQR)89

Descriptive statistics

Standard deviation3679.2979
Coefficient of variation (CV)4.1721566
Kurtosis22.931582
Mean881.86957
Median Absolute Deviation (MAD)42
Skewness4.7857202
Sum20283
Variance13537233
MonotonicityNot monotonic
2024-04-21T03:47:47.679216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
66 2
 
1.3%
86 1
 
0.6%
71 1
 
0.6%
143 1
 
0.6%
33 1
 
0.6%
17749 1
 
0.6%
50 1
 
0.6%
20 1
 
0.6%
83 1
 
0.6%
376 1
 
0.6%
Other values (12) 12
 
7.7%
(Missing) 132
85.2%
ValueCountFrequency (%)
20 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
1.3%
71 1
0.6%
ValueCountFrequency (%)
17749 1
0.6%
600 1
0.6%
376 1
0.6%
249 1
0.6%
143 1
0.6%
141 1
0.6%
120 1
0.6%
100 1
0.6%
86 1
0.6%
84 1
0.6%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01일반여행업03_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>
12일반여행업03_12_03_P3410000CDFI226004201900000520191029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 47-21번지대구광역시 중구 동덕로 54, 306호 (대봉동)41952주식회사 아는여행사20191029172728I2019-10-31 00:23:03.0<NA>344880.319985263361.152306일반여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Knowing Travel Agency CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23일반여행업03_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>
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_P3410000CDFI226004201700001020171030<NA>3폐업3폐업20190318<NA><NA><NA><NA><NA><NA>대구광역시 중구 서문로1가 69-1번지대구광역시 중구 경상감영길 28 (서문로1가)41919다국적의료관광통역사협동조합20190318150554U2019-03-20 02:40:00.0<NA>343436.311606264601.46276일반여행업<NA><NA><NA><NA><NA>서울보증보험 818-88-00923<NA><NA><NA><NA><NA>International Medi Tour interpreters cooperativeGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002017103020181029<NA><NA>
56일반여행업03_12_03_P3410000CDFI226004201000000520101228<NA>3폐업3폐업20110720<NA><NA><NA>053-428-0666<NA>700422대구광역시 중구 동인동2가 58-1번지대구광역시 중구 경상감영길 274 (동인동2가)<NA>한국관광(주)20110720181127I2018-08-31 23:59:59.0<NA>344624.544436264600.89372일반여행업<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>2000000002011010120120101<NA><NA>
67일반여행업03_12_03_P3410000CDFI226004201300000120130322<NA>3폐업3폐업20171114<NA><NA><NA>053-215-3355<NA><NA>대구광역시 중구 서문로2가 83번지대구광역시 중구 국채보상로 515, 2층 (서문로2가)41921주식회사 모닝스타투어20171114170542I2018-08-31 23:59:59.0<NA>343251.365403264520.837975일반여행업<NA><NA><NA><NA><NA>서울보증보험 504-81-95139<NA><NA><NA><NA><NA>MORNIG STAR TOUR CO., LTDInbound Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002017032520180324<NA><NA>
78일반여행업03_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>344627.941806264621.91494일반여행업<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>
89일반여행업03_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>344381.805923264537.742517일반여행업<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>
910일반여행업03_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>344207.765758263970.616141일반여행업<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>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
145146일반여행업03_12_03_P3470000CDFI226004201900000420180206<NA>1영업/정상13영업중<NA><NA><NA><NA>053-588-5882<NA><NA>대구광역시 달서구 호산동 381번지 1층대구광역시 달서구 호산동로35길 11, 1층 (호산동)42708(주)에스티인터내셔널20190829100210I2019-08-31 02:22:15.0<NA>334084.759764262155.302809일반여행업<NA><NA>2<NA><NA>서울보증보험<NA>3<NA><NA><NA>SPOTOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>1000000002019020620200205<NA>20
146147일반여행업03_12_03_P3470000CDFI226004201900000620111213<NA>1영업/정상13영업중<NA><NA><NA><NA>053 426 3610<NA><NA>대구광역시 달서구 송현동 172-8번지대구광역시 달서구 송현동길 30 (송현동)42739(주)비아이이인터내셔널20191122084649I2019-11-23 00:23:21.0<NA>339919.179033260077.997956일반여행업<NA><NA><NA><NA><NA>한국여행업협회 504-81-77257<NA><NA><NA><NA><NA>BIEINTERNATIONAL CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002019061920200619<NA><NA>
147148일반여행업03_12_03_P3470000CDFI226004201800000220130308<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 파호동 93-11번지대구광역시 달서구 성서공단북로 45 (파호동)42710스타포유주식회사20181206104132I2018-12-07 02:20:08.0<NA>333408.567124261494.981132일반여행업<NA><NA><NA><NA><NA>서울보증보험(50,000,000)<NA><NA><NA><NA><NA>STAR FOR YOU CO, LTD.General travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002018030820190307<NA><NA>
148149일반여행업03_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
149150일반여행업03_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>
150151일반여행업03_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>
151152일반여행업03_12_03_P3480000CDFI226004201100000120111220<NA>1영업/정상13영업중<NA><NA><NA><NA>053-216-6000<NA>711861대구광역시 달성군 가창면 냉천리 27-9번지대구광역시 달성군 가창면 가창로 89142938(주) 투어 스파밸리20190116130010U2019-01-18 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
152153일반여행업03_12_03_P3480000CDFI226004201600000320160218<NA>1영업/정상13영업중<NA><NA><NA><NA>053-581-0891<NA><NA>대구광역시 달성군 다사읍 매곡리 1539번지대구광역시 달성군 다사읍 대실역북로1길 6 (죽곡휴먼시아1단지)42914(주)참투어기획20161101093443I2018-08-31 23:59:59.0<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
153154일반여행업03_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
154155일반여행업03_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