Overview

Dataset statistics

Number of variables63
Number of observations168
Missing cells5640
Missing cells (%)53.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.2 KiB
Average record size in memory549.8 B

Variable types

Numeric16
Categorical12
Text9
Unsupported25
DateTime1

Dataset

Description6270000_대구광역시_03_12_03_P_일반여행업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086621&dataSetDetailId=DDI_0000086630&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (80.0%)Imbalance
건물용도명 is highly imbalanced (72.6%)Imbalance
지하층수 is highly imbalanced (88.5%)Imbalance
폐업일자 has 146 (86.9%) missing valuesMissing
휴업시작일자 has 168 (100.0%) missing valuesMissing
휴업종료일자 has 168 (100.0%) missing valuesMissing
재개업일자 has 168 (100.0%) missing valuesMissing
소재지전화 has 53 (31.5%) missing valuesMissing
소재지면적 has 168 (100.0%) missing valuesMissing
소재지우편번호 has 130 (77.4%) missing valuesMissing
도로명우편번호 has 3 (1.8%) missing valuesMissing
업태구분명 has 168 (100.0%) missing valuesMissing
문화사업자구분명 has 168 (100.0%) missing valuesMissing
지역구분명 has 150 (89.3%) missing valuesMissing
총층수 has 154 (91.7%) missing valuesMissing
주변환경명 has 164 (97.6%) missing valuesMissing
제작취급품목내용 has 168 (100.0%) missing valuesMissing
보험기관명 has 31 (18.5%) missing valuesMissing
지상층수 has 154 (91.7%) missing valuesMissing
객실수 has 168 (100.0%) missing valuesMissing
건축연면적 has 168 (100.0%) missing valuesMissing
영문상호명 has 87 (51.8%) missing valuesMissing
선박총톤수 has 168 (100.0%) missing valuesMissing
선박척수 has 168 (100.0%) missing valuesMissing
선박제원 has 168 (100.0%) missing valuesMissing
무대면적 has 168 (100.0%) missing valuesMissing
좌석수 has 168 (100.0%) missing valuesMissing
기념품종류 has 168 (100.0%) missing valuesMissing
회의실별동시수용인원 has 168 (100.0%) missing valuesMissing
시설면적 has 143 (85.1%) missing valuesMissing
놀이기구수내역 has 168 (100.0%) missing valuesMissing
놀이시설수 has 168 (100.0%) missing valuesMissing
방송시설유무 has 168 (100.0%) missing valuesMissing
발전시설유무 has 168 (100.0%) missing valuesMissing
의무실유무 has 168 (100.0%) missing valuesMissing
안내소유무 has 168 (100.0%) missing valuesMissing
기획여행보험시작일자 has 168 (100.0%) missing valuesMissing
기획여행보험종료일자 has 168 (100.0%) missing valuesMissing
자본금 has 38 (22.6%) missing valuesMissing
보험시작일자 has 22 (13.1%) missing valuesMissing
보험종료일자 has 22 (13.1%) missing valuesMissing
부대시설내역 has 168 (100.0%) missing valuesMissing
시설규모 has 143 (85.1%) 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 18:56:41.296228
Analysis finished2023-12-10 18:56:42.543446
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.5
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:42.657002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.35
Q142.75
median84.5
Q3126.25
95-th percentile159.65
Maximum168
Range167
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation48.641546
Coefficient of variation (CV)0.5756396
Kurtosis-1.2
Mean84.5
Median Absolute Deviation (MAD)42
Skewness0
Sum14196
Variance2366
MonotonicityStrictly increasing
2023-12-11T03:56:43.227371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
117 1
 
0.6%
109 1
 
0.6%
110 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%
Other values (158) 158
94.0%
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 (%)
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%
161 1
0.6%
160 1
0.6%
159 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반여행업
168 

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 168
100.0%

Length

2023-12-11T03:56:43.440989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:43.597174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 168
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
03_12_03_P
168 

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 168
100.0%

Length

2023-12-11T03:56:43.760463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:43.890056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 168
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435714.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:44.018258image/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 deviation25302.279
Coefficient of variation (CV)0.0073644886
Kurtosis-1.5634465
Mean3435714.3
Median Absolute Deviation (MAD)10000
Skewness0.31045487
Sum5.772 × 108
Variance6.402053 × 108
MonotonicityIncreasing
2023-12-11T03:56:44.185179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 62
36.9%
3460000 27
16.1%
3420000 24
 
14.3%
3470000 21
 
12.5%
3450000 17
 
10.1%
3480000 8
 
4.8%
3440000 5
 
3.0%
3430000 4
 
2.4%
ValueCountFrequency (%)
3410000 62
36.9%
3420000 24
 
14.3%
3430000 4
 
2.4%
3440000 5
 
3.0%
3450000 17
 
10.1%
3460000 27
16.1%
3470000 21
 
12.5%
3480000 8
 
4.8%
ValueCountFrequency (%)
3480000 8
 
4.8%
3470000 21
 
12.5%
3460000 27
16.1%
3450000 17
 
10.1%
3440000 5
 
3.0%
3430000 4
 
2.4%
3420000 24
 
14.3%
3410000 62
36.9%

관리번호
Text

Distinct79
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T03:56:44.482283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3360
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

Unique37 ?
Unique (%)22.0%

Sample

1st rowCDFI2260042009000001
2nd rowCDFI2260042011000003
3rd rowCDFI2260042015000004
4th rowCDFI2260042015000003
5th rowCDFI2260042017000007
ValueCountFrequency (%)
cdfi2260042017000002 7
 
4.2%
cdfi2260042016000001 6
 
3.6%
cdfi2260042019000001 6
 
3.6%
cdfi2260042020000001 6
 
3.6%
cdfi2260042017000001 5
 
3.0%
cdfi2260042016000002 5
 
3.0%
cdfi2260042018000001 5
 
3.0%
cdfi2260042018000003 4
 
2.4%
cdfi2260042015000001 4
 
2.4%
cdfi2260042019000002 4
 
2.4%
Other values (69) 116
69.0%
2023-12-11T03:56:44.897023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1372
40.8%
2 570
17.0%
6 207
 
6.2%
1 207
 
6.2%
4 190
 
5.7%
C 168
 
5.0%
D 168
 
5.0%
F 168
 
5.0%
I 168
 
5.0%
7 33
 
1.0%
Other values (4) 109
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2688
80.0%
Uppercase Letter 672
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1372
51.0%
2 570
21.2%
6 207
 
7.7%
1 207
 
7.7%
4 190
 
7.1%
7 33
 
1.2%
9 29
 
1.1%
8 28
 
1.0%
5 27
 
1.0%
3 25
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 168
25.0%
D 168
25.0%
F 168
25.0%
I 168
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2688
80.0%
Latin 672
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1372
51.0%
2 570
21.2%
6 207
 
7.7%
1 207
 
7.7%
4 190
 
7.1%
7 33
 
1.2%
9 29
 
1.1%
8 28
 
1.0%
5 27
 
1.0%
3 25
 
0.9%
Latin
ValueCountFrequency (%)
C 168
25.0%
D 168
25.0%
F 168
25.0%
I 168
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1372
40.8%
2 570
17.0%
6 207
 
6.2%
1 207
 
6.2%
4 190
 
5.7%
C 168
 
5.0%
D 168
 
5.0%
F 168
 
5.0%
I 168
 
5.0%
7 33
 
1.0%
Other values (4) 109
 
3.2%

인허가일자
Real number (ℝ)

Distinct161
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20150816
Minimum19981030
Maximum20200928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:45.130530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20084269
Q120130318
median20160516
Q320180340
95-th percentile20200106
Maximum20200928
Range219898
Interquartile range (IQR)50021.75

Descriptive statistics

Standard deviation38229.389
Coefficient of variation (CV)0.0018971634
Kurtosis2.3735458
Mean20150816
Median Absolute Deviation (MAD)20099.5
Skewness-1.308111
Sum3.385337 × 109
Variance1.4614862 × 109
MonotonicityNot monotonic
2023-12-11T03:56:45.333038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160817 2
 
1.2%
20170105 2
 
1.2%
20120110 2
 
1.2%
20160309 2
 
1.2%
20160607 2
 
1.2%
20160802 2
 
1.2%
20170914 2
 
1.2%
20150604 1
 
0.6%
20190218 1
 
0.6%
20180710 1
 
0.6%
Other values (151) 151
89.9%
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 (%)
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%
20200108 1
0.6%
20200102 1
0.6%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
20191203
 
5
20191120
 
3
20190211
 
2
20120522
 
1

Length

Max length8
Median length4
Mean length4.2857143
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
92.9%
20191203 5
 
3.0%
20191120 3
 
1.8%
20190211 2
 
1.2%
20120522 1
 
0.6%
20141111 1
 
0.6%

Length

2023-12-11T03:56:45.568672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:45.762282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
92.9%
20191203 5
 
3.0%
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 size1.4 KiB
1
134 
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 (%)
1 134
79.8%
3 22
 
13.1%
4 12
 
7.1%

Length

2023-12-11T03:56:45.933668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:46.076874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 134
79.8%
3 22
 
13.1%
4 12
 
7.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
134 
폐업
22 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length5.25
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 134
79.8%
폐업 22
 
13.1%
취소/말소/만료/정지/중지 12
 
7.1%

Length

2023-12-11T03:56:46.224689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:46.382333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 134
79.8%
폐업 22
 
13.1%
취소/말소/만료/정지/중지 12
 
7.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
134 
3
22 
31
 
12

Length

Max length2
Median length2
Mean length1.8690476
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 134
79.8%
3 22
 
13.1%
31 12
 
7.1%

Length

2023-12-11T03:56:46.543824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:46.681252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 134
79.8%
3 22
 
13.1%
31 12
 
7.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
134 
폐업
22 
등록취소
 
12

Length

Max length4
Median length3
Mean length2.9404762
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 134
79.8%
폐업 22
 
13.1%
등록취소 12
 
7.1%

Length

2023-12-11T03:56:46.889256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:47.027153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 134
79.8%
폐업 22
 
13.1%
등록취소 12
 
7.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing146
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean20168812
Minimum20110720
Maximum20200826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:47.188181image/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
2023-12-11T03:56:47.364009image/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
 
7.1%
(Missing) 146
86.9%
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 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

소재지전화
Text

MISSING 

Distinct112
Distinct (%)97.4%
Missing53
Missing (%)31.5%
Memory size1.4 KiB
2023-12-11T03:56:47.672694image/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%
2023-12-11T03:56:48.120096image/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 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing130
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean702635.03
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:48.294112image/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
2023-12-11T03:56:48.460221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
700421 4
 
2.4%
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
 
13.7%
(Missing) 130
77.4%
ValueCountFrequency (%)
700150 1
 
0.6%
700180 1
 
0.6%
700310 1
 
0.6%
700411 1
 
0.6%
700412 1
 
0.6%
700421 4
2.4%
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

Distinct153
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T03:56:48.913425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length23.571429
Min length13

Characters and Unicode

Total characters3960
Distinct characters186
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

Unique141 ?
Unique (%)83.9%

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 168
22.3%
중구 62
 
8.2%
수성구 27
 
3.6%
동구 24
 
3.2%
달서구 21
 
2.8%
북구 17
 
2.3%
신천동 13
 
1.7%
달성군 8
 
1.1%
동인동1가 8
 
1.1%
삼덕동2가 6
 
0.8%
Other values (290) 400
53.1%
2023-12-11T03:56:49.510638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
742
18.7%
구 340
 
8.6%
동 205
 
5.2%
대 190
 
4.8%
1 188
 
4.7%
시 172
 
4.3%
역 170
 
4.3%
광 168
 
4.2%
- 138
 
3.5%
지 119
 
3.0%
Other values (176) 1528
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2315
58.5%
Decimal Number 758
 
19.1%
Space Separator 742
 
18.7%
Dash Punctuation 138
 
3.5%
Uppercase Letter 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 340
14.7%
동 205
 
8.9%
대 190
 
8.2%
시 172
 
7.4%
역 170
 
7.3%
광 168
 
7.3%
지 119
 
5.1%
번 112
 
4.8%
중 65
 
2.8%
성 54
 
2.3%
Other values (158) 720
31.1%
Decimal Number
ValueCountFrequency (%)
1 188
24.8%
2 113
14.9%
3 76
10.0%
8 61
 
8.0%
0 60
 
7.9%
7 57
 
7.5%
6 55
 
7.3%
9 55
 
7.3%
5 53
 
7.0%
4 40
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
K 1
16.7%
C 1
16.7%
I 1
16.7%
Y 1
16.7%
Space Separator
ValueCountFrequency (%)
742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2315
58.5%
Common 1639
41.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 340
14.7%
동 205
 
8.9%
대 190
 
8.2%
시 172
 
7.4%
역 170
 
7.3%
광 168
 
7.3%
지 119
 
5.1%
번 112
 
4.8%
중 65
 
2.8%
성 54
 
2.3%
Other values (158) 720
31.1%
Common
ValueCountFrequency (%)
742
45.3%
1 188
 
11.5%
- 138
 
8.4%
2 113
 
6.9%
3 76
 
4.6%
8 61
 
3.7%
0 60
 
3.7%
7 57
 
3.5%
6 55
 
3.4%
9 55
 
3.4%
Other values (3) 94
 
5.7%
Latin
ValueCountFrequency (%)
T 2
33.3%
K 1
16.7%
C 1
16.7%
I 1
16.7%
Y 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2315
58.5%
ASCII 1645
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
742
45.1%
1 188
 
11.4%
- 138
 
8.4%
2 113
 
6.9%
3 76
 
4.6%
8 61
 
3.7%
0 60
 
3.6%
7 57
 
3.5%
6 55
 
3.3%
9 55
 
3.3%
Other values (8) 100
 
6.1%
Hangul
ValueCountFrequency (%)
구 340
14.7%
동 205
 
8.9%
대 190
 
8.2%
시 172
 
7.4%
역 170
 
7.3%
광 168
 
7.3%
지 119
 
5.1%
번 112
 
4.8%
중 65
 
2.8%
성 54
 
2.3%
Other values (158) 720
31.1%

도로명전체주소
Text

Distinct160
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T03:56:49.964941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length30.52381
Min length20

Characters and Unicode

Total characters5128
Distinct characters235
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

Unique153 ?
Unique (%)91.1%

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 168
 
16.5%
중구 62
 
6.1%
수성구 27
 
2.6%
2층 26
 
2.5%
동구 24
 
2.4%
달서구 21
 
2.1%
국채보상로 18
 
1.8%
북구 17
 
1.7%
3층 16
 
1.6%
경상감영길 15
 
1.5%
Other values (396) 627
61.4%
2023-12-11T03:56:50.671881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
854
 
16.7%
구 357
 
7.0%
동 241
 
4.7%
대 216
 
4.2%
1 192
 
3.7%
시 177
 
3.5%
역 171
 
3.3%
광 171
 
3.3%
로 163
 
3.2%
) 162
 
3.2%
Other values (225) 2424
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2966
57.8%
Space Separator 854
 
16.7%
Decimal Number 817
 
15.9%
Close Punctuation 162
 
3.2%
Open Punctuation 162
 
3.2%
Other Punctuation 133
 
2.6%
Dash Punctuation 28
 
0.5%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 357
 
12.0%
동 241
 
8.1%
대 216
 
7.3%
시 177
 
6.0%
역 171
 
5.8%
광 171
 
5.8%
로 163
 
5.5%
층 75
 
2.5%
중 71
 
2.4%
성 70
 
2.4%
Other values (203) 1254
42.3%
Decimal Number
ValueCountFrequency (%)
1 192
23.5%
2 143
17.5%
3 81
9.9%
5 77
9.4%
4 65
 
8.0%
6 54
 
6.6%
8 53
 
6.5%
0 53
 
6.5%
7 53
 
6.5%
9 46
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
Y 1
20.0%
T 1
20.0%
I 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 132
99.2%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
854
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2966
57.8%
Common 2157
42.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 357
 
12.0%
동 241
 
8.1%
대 216
 
7.3%
시 177
 
6.0%
역 171
 
5.8%
광 171
 
5.8%
로 163
 
5.5%
층 75
 
2.5%
중 71
 
2.4%
성 70
 
2.4%
Other values (203) 1254
42.3%
Common
ValueCountFrequency (%)
854
39.6%
1 192
 
8.9%
) 162
 
7.5%
( 162
 
7.5%
2 143
 
6.6%
, 132
 
6.1%
3 81
 
3.8%
5 77
 
3.6%
4 65
 
3.0%
6 54
 
2.5%
Other values (7) 235
 
10.9%
Latin
ValueCountFrequency (%)
A 1
20.0%
Y 1
20.0%
T 1
20.0%
I 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2966
57.8%
ASCII 2161
42.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
854
39.5%
1 192
 
8.9%
) 162
 
7.5%
( 162
 
7.5%
2 143
 
6.6%
, 132
 
6.1%
3 81
 
3.7%
5 77
 
3.6%
4 65
 
3.0%
6 54
 
2.5%
Other values (11) 239
 
11.1%
Hangul
ValueCountFrequency (%)
구 357
 
12.0%
동 241
 
8.1%
대 216
 
7.3%
시 177
 
6.0%
역 171
 
5.8%
광 171
 
5.8%
로 163
 
5.5%
층 75
 
2.5%
중 71
 
2.4%
성 70
 
2.4%
Other values (203) 1254
42.3%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)72.7%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean73976.624
Minimum41022
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:50.864959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41022
5-th percentile41165.2
Q141872
median41938
Q342428
95-th percentile43016.2
Maximum706836
Range665814
Interquartile range (IQR)556

Descriptive statistics

Standard deviation142171.3
Coefficient of variation (CV)1.9218409
Kurtosis16.199171
Mean73976.624
Median Absolute Deviation (MAD)313
Skewness4.242933
Sum12206143
Variance2.0212679 × 1010
MonotonicityNot monotonic
2023-12-11T03:56:51.044821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 6
 
3.6%
41913 5
 
3.0%
41940 5
 
3.0%
41921 5
 
3.0%
41919 5
 
3.0%
41952 3
 
1.8%
41931 3
 
1.8%
41937 3
 
1.8%
42127 2
 
1.2%
42038 2
 
1.2%
Other values (110) 126
75.0%
(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 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T03:56:51.387718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.672619
Min length2

Characters and Unicode

Total characters1457
Distinct characters254
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

Unique168 ?
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 23
 
10.4%
여행사 3
 
1.4%
코리아 2
 
0.9%
주)웰빙투어 1
 
0.5%
주)실론투어 1
 
0.5%
주)아름다운 1
 
0.5%
사람과 1
 
0.5%
길 1
 
0.5%
유성투어 1
 
0.5%
주)수아벨 1
 
0.5%
Other values (187) 187
84.2%
2023-12-11T03:56:51.827521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 127
 
8.7%
( 101
 
6.9%
) 101
 
6.9%
사 56
 
3.8%
54
 
3.7%
어 48
 
3.3%
투 47
 
3.2%
행 38
 
2.6%
여 37
 
2.5%
이 35
 
2.4%
Other values (244) 813
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
79.5%
Open Punctuation 101
 
6.9%
Close Punctuation 101
 
6.9%
Space Separator 54
 
3.7%
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 127
 
11.0%
사 56
 
4.8%
어 48
 
4.1%
투 47
 
4.1%
행 38
 
3.3%
여 37
 
3.2%
이 35
 
3.0%
관 30
 
2.6%
스 30
 
2.6%
광 30
 
2.6%
Other values (218) 681
58.8%
Uppercase Letter
ValueCountFrequency (%)
T 4
14.3%
C 4
14.3%
L 3
10.7%
O 3
10.7%
A 2
7.1%
U 2
7.1%
R 2
7.1%
D 2
7.1%
K 2
7.1%
M 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
t 1
16.7%
d 1
16.7%
p 1
16.7%
a 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
79.5%
Common 264
 
18.1%
Latin 34
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 127
 
11.0%
사 56
 
4.8%
어 48
 
4.1%
투 47
 
4.1%
행 38
 
3.3%
여 37
 
3.2%
이 35
 
3.0%
관 30
 
2.6%
스 30
 
2.6%
광 30
 
2.6%
Other values (218) 681
58.8%
Latin
ValueCountFrequency (%)
T 4
11.8%
C 4
11.8%
L 3
 
8.8%
O 3
 
8.8%
A 2
 
5.9%
U 2
 
5.9%
R 2
 
5.9%
D 2
 
5.9%
K 2
 
5.9%
M 1
 
2.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
( 101
38.3%
) 101
38.3%
54
20.5%
. 4
 
1.5%
, 2
 
0.8%
& 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
79.5%
ASCII 298
 
20.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 127
 
11.0%
사 56
 
4.8%
어 48
 
4.1%
투 47
 
4.1%
행 38
 
3.3%
여 37
 
3.2%
이 35
 
3.0%
관 30
 
2.6%
스 30
 
2.6%
광 30
 
2.6%
Other values (218) 681
58.8%
ASCII
ValueCountFrequency (%)
( 101
33.9%
) 101
33.9%
54
18.1%
. 4
 
1.3%
T 4
 
1.3%
C 4
 
1.3%
L 3
 
1.0%
O 3
 
1.0%
A 2
 
0.7%
U 2
 
0.7%
Other values (16) 20
 
6.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0189807 × 1013
Minimum2.011072 × 1013
Maximum2.0201027 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:52.015607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0160456 × 1013
Q12.0190109 × 1013
median2.0191215 × 1013
Q32.0200709 × 1013
95-th percentile2.0200921 × 1013
Maximum2.0201027 × 1013
Range9.0306909 × 1010
Interquartile range (IQR)1.0599762 × 1010

Descriptive statistics

Standard deviation1.6518805 × 1010
Coefficient of variation (CV)0.00081817548
Kurtosis6.4959861
Mean2.0189807 × 1013
Median Absolute Deviation (MAD)9.4894594 × 109
Skewness-2.3895945
Sum3.3918876 × 1015
Variance2.7287092 × 1020
MonotonicityNot monotonic
2023-12-11T03:56:52.239099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120706142721 1
 
0.6%
20190725154439 1
 
0.6%
20191125141250 1
 
0.6%
20191118134819 1
 
0.6%
20190218160507 1
 
0.6%
20180710182234 1
 
0.6%
20191127144216 1
 
0.6%
20200812180420 1
 
0.6%
20191127144250 1
 
0.6%
20200324153014 1
 
0.6%
Other values (158) 158
94.0%
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 (%)
20201027090251 1
0.6%
20201022192043 1
0.6%
20201018183040 1
0.6%
20201012133125 1
0.6%
20200929105635 1
0.6%
20200928160412 1
0.6%
20200928144058 1
0.6%
20200928113352 1
0.6%
20200922143618 1
0.6%
20200918154247 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
117 
I
51 

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 117
69.6%
I 51
30.4%

Length

2023-12-11T03:56:52.441380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:52.600092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 117
69.6%
i 51
30.4%

데이터갱신일자
Date

Distinct103
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2020-10-29 02:40:00
2023-12-11T03:56:52.762057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:52.956203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct148
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343769.26
Minimum329040.79
Maximum355883.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:53.528193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile334941.53
Q1342513.29
median344325.38
Q3346290.85
95-th percentile349977.97
Maximum355883.11
Range26842.324
Interquartile range (IQR)3777.5602

Descriptive statistics

Standard deviation4352.5161
Coefficient of variation (CV)0.012661156
Kurtosis1.4333962
Mean343769.26
Median Absolute Deviation (MAD)1984.3291
Skewness-0.49148736
Sum57753235
Variance18944397
MonotonicityNot monotonic
2023-12-11T03:56:53.725737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343436.311606 5
 
3.0%
344686.259338 4
 
2.4%
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 (138) 140
83.3%
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)

Distinct148
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263718.88
Minimum239002.81
Maximum273375.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:53.914748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258725.1
Q1262436.9
median264377.34
Q3264694.2
95-th percentile270294.84
Maximum273375.05
Range34372.242
Interquartile range (IQR)2257.2947

Descriptive statistics

Standard deviation3797.8824
Coefficient of variation (CV)0.014401253
Kurtosis14.171329
Mean263718.88
Median Absolute Deviation (MAD)973.90395
Skewness-2.1841593
Sum44304772
Variance14423911
MonotonicityNot monotonic
2023-12-11T03:56:54.119148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264601.46276 5
 
3.0%
263958.880864 4
 
2.4%
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 (138) 140
83.3%
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%
258645.860959 1
0.6%
258872.266996 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 size1.4 KiB
일반여행업
168 

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 168
100.0%

Length

2023-12-11T03:56:54.292406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:54.418201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 168
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing150
Missing (%)89.3%
Memory size1.4 KiB
2023-12-11T03:56:54.616396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.7777778
Min length4

Characters and Unicode

Total characters104
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)33.3%

Sample

1st row일반주거지역
2nd row중심상업지역
3rd row전용주거지역
4th row일반주거지역
5th row일반상업지역
ValueCountFrequency (%)
일반주거지역 5
27.8%
일반상업지역 4
22.2%
근린상업지역 3
16.7%
중심상업지역 1
 
5.6%
전용주거지역 1
 
5.6%
상업지역 1
 
5.6%
주거지역 1
 
5.6%
일반공업지역 1
 
5.6%
자연녹지지역 1
 
5.6%
2023-12-11T03:56:55.007651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 19
18.3%
역 18
17.3%
일 10
9.6%
반 10
9.6%
업 10
9.6%
상 9
8.7%
주 7
 
6.7%
거 7
 
6.7%
린 3
 
2.9%
근 3
 
2.9%
Other values (8) 8
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 19
18.3%
역 18
17.3%
일 10
9.6%
반 10
9.6%
업 10
9.6%
상 9
8.7%
주 7
 
6.7%
거 7
 
6.7%
린 3
 
2.9%
근 3
 
2.9%
Other values (8) 8
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 19
18.3%
역 18
17.3%
일 10
9.6%
반 10
9.6%
업 10
9.6%
상 9
8.7%
주 7
 
6.7%
거 7
 
6.7%
린 3
 
2.9%
근 3
 
2.9%
Other values (8) 8
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 19
18.3%
역 18
17.3%
일 10
9.6%
반 10
9.6%
업 10
9.6%
상 9
8.7%
주 7
 
6.7%
거 7
 
6.7%
린 3
 
2.9%
근 3
 
2.9%
Other values (8) 8
7.7%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)42.9%
Missing154
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean3.5714286
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:55.177672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9.35
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7093651
Coefficient of variation (CV)0.75862223
Kurtosis2.2650703
Mean3.5714286
Median Absolute Deviation (MAD)1
Skewness1.6957151
Sum50
Variance7.3406593
MonotonicityNot monotonic
2023-12-11T03:56:55.320348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4
 
2.4%
3 3
 
1.8%
4 3
 
1.8%
1 2
 
1.2%
10 1
 
0.6%
9 1
 
0.6%
(Missing) 154
91.7%
ValueCountFrequency (%)
1 2
1.2%
2 4
2.4%
3 3
1.8%
4 3
1.8%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
10 1
 
0.6%
9 1
 
0.6%
4 3
1.8%
3 3
1.8%
2 4
2.4%
1 2
1.2%

주변환경명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing164
Missing (%)97.6%
Memory size1.4 KiB
2023-12-11T03:56:55.523824image/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%
2023-12-11T03:56:55.906718image/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 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

보험기관명
Text

MISSING 

Distinct60
Distinct (%)43.8%
Missing31
Missing (%)18.5%
Memory size1.4 KiB
2023-12-11T03:56:56.241890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.562044
Min length4

Characters and Unicode

Total characters1584
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 (%)37.2%

Sample

1st row관광협회
2nd row관광협회 504-81-67308
3rd row서울보증보험 504-86-11037
4th row한국관광협회중앙회
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 59
30.7%
관광협회 19
 
9.9%
한국관광협회중앙회 15
 
7.8%
한국관광협회 15
 
7.8%
서울보증보험주식회사 14
 
7.3%
여행공제회 8
 
4.2%
한국여행업협회 4
 
2.1%
서울보증 3
 
1.6%
관광공제회 2
 
1.0%
대구광역시관광협회 2
 
1.0%
Other values (51) 51
26.6%
2023-12-11T03:56:56.795793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 157
 
9.9%
회 97
 
6.1%
- 96
 
6.1%
0 90
 
5.7%
울 80
 
5.1%
서 80
 
5.1%
증 80
 
5.1%
험 77
 
4.9%
8 76
 
4.8%
1 68
 
4.3%
Other values (30) 683
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 939
59.3%
Decimal Number 488
30.8%
Dash Punctuation 96
 
6.1%
Space Separator 55
 
3.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 157
16.7%
회 97
10.3%
울 80
8.5%
서 80
8.5%
증 80
8.5%
험 77
8.2%
광 57
 
6.1%
협 57
 
6.1%
관 55
 
5.9%
국 34
 
3.6%
Other values (15) 165
17.6%
Decimal Number
ValueCountFrequency (%)
0 90
18.4%
8 76
15.6%
1 68
13.9%
5 53
10.9%
4 45
9.2%
2 43
8.8%
3 33
 
6.8%
9 33
 
6.8%
6 28
 
5.7%
7 19
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 939
59.3%
Common 645
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 157
16.7%
회 97
10.3%
울 80
8.5%
서 80
8.5%
증 80
8.5%
험 77
8.2%
광 57
 
6.1%
협 57
 
6.1%
관 55
 
5.9%
국 34
 
3.6%
Other values (15) 165
17.6%
Common
ValueCountFrequency (%)
- 96
14.9%
0 90
14.0%
8 76
11.8%
1 68
10.5%
55
8.5%
5 53
8.2%
4 45
7.0%
2 43
6.7%
3 33
 
5.1%
9 33
 
5.1%
Other values (5) 53
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 939
59.3%
ASCII 645
40.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 157
16.7%
회 97
10.3%
울 80
8.5%
서 80
8.5%
증 80
8.5%
험 77
8.2%
광 57
 
6.1%
협 57
 
6.1%
관 55
 
5.9%
국 34
 
3.6%
Other values (15) 165
17.6%
ASCII
ValueCountFrequency (%)
- 96
14.9%
0 90
14.0%
8 76
11.8%
1 68
10.5%
55
8.5%
5 53
8.2%
4 45
7.0%
2 43
6.7%
3 33
 
5.1%
9 33
 
5.1%
Other values (5) 53
8.2%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
153 
근린생활시설
 
7
사무실
 
7
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0416667
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> 153
91.1%
근린생활시설 7
 
4.2%
사무실 7
 
4.2%
문화시설 1
 
0.6%

Length

2023-12-11T03:56:56.984773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:57.129164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
91.1%
근린생활시설 7
 
4.2%
사무실 7
 
4.2%
문화시설 1
 
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)57.1%
Missing154
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean4.1428571
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:57.265054image/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
2023-12-11T03:56:57.428980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4
 
2.4%
3 3
 
1.8%
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) 154
91.7%
ValueCountFrequency (%)
1 4
2.4%
2 2
1.2%
3 3
1.8%
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
1.8%
2 2
1.2%
1 4
2.4%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
164 
1
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.9285714
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> 164
97.6%
1 3
 
1.8%
2 1
 
0.6%

Length

2023-12-11T03:56:57.603111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:57.761146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
97.6%
1 3
 
1.8%
2 1
 
0.6%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

영문상호명
Text

MISSING 

Distinct81
Distinct (%)100.0%
Missing87
Missing (%)51.8%
Memory size1.4 KiB
2023-12-11T03:56:58.070202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.333333
Min length3

Characters and Unicode

Total characters1647
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

Unique81 ?
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 39
 
14.9%
co.,ltd 35
 
13.4%
co 22
 
8.4%
ltd 22
 
8.4%
travel 8
 
3.1%
medi 4
 
1.5%
express 4
 
1.5%
korea 4
 
1.5%
daegu 3
 
1.1%
air 3
 
1.1%
Other values (113) 117
44.8%
2023-12-11T03:56:58.592049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
11.0%
O 126
 
7.7%
T 119
 
7.2%
L 84
 
5.1%
C 78
 
4.7%
R 71
 
4.3%
D 69
 
4.2%
. 68
 
4.1%
E 66
 
4.0%
U 63
 
3.8%
Other values (50) 722
43.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1024
62.2%
Lowercase Letter 303
 
18.4%
Space Separator 181
 
11.0%
Other Punctuation 130
 
7.9%
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 126
12.3%
T 119
11.6%
L 84
 
8.2%
C 78
 
7.6%
R 71
 
6.9%
D 69
 
6.7%
E 66
 
6.4%
U 63
 
6.2%
A 60
 
5.9%
N 47
 
4.6%
Other values (14) 241
23.5%
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
52.3%
, 56
43.1%
& 5
 
3.8%
' 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
181
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 1327
80.6%
Common 320
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 126
 
9.5%
T 119
 
9.0%
L 84
 
6.3%
C 78
 
5.9%
R 71
 
5.4%
D 69
 
5.2%
E 66
 
5.0%
U 63
 
4.7%
A 60
 
4.5%
N 47
 
3.5%
Other values (38) 544
41.0%
Common
ValueCountFrequency (%)
181
56.6%
. 68
 
21.2%
, 56
 
17.5%
& 5
 
1.6%
- 3
 
0.9%
' 1
 
0.3%
2 1
 
0.3%
1
 
0.3%
1 1
 
0.3%
( 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
 
11.0%
O 126
 
7.7%
T 119
 
7.2%
L 84
 
5.1%
C 78
 
4.7%
R 71
 
4.3%
D 69
 
4.2%
. 68
 
4.1%
E 66
 
4.0%
U 63
 
3.8%
Other values (50) 722
43.8%

영문상호주소
Categorical

Distinct12
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
86 
General travel business
55 
General Travel Agency
10 
Inbound Travel business
 
5
Inbound Travel Agency
 
5
Other values (7)
 
7

Length

Max length24
Median length4
Mean length13.017857
Min length4

Unique

Unique7 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
51.2%
General travel business 55
32.7%
General Travel Agency 10
 
6.0%
Inbound Travel business 5
 
3.0%
Inbound Travel Agency 5
 
3.0%
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 (2) 2
 
1.2%

Length

2023-12-11T03:56:58.814091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 86
26.0%
travel 82
24.8%
general 67
20.2%
business 65
19.6%
agency 15
 
4.5%
inbound 13
 
3.9%
agent 2
 
0.6%
domestic 1
 
0.3%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing143
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean820.7748
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:58.974452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.8
Q140.74
median76.58
Q3141.08
95-th percentile555.2
Maximum17749
Range17729
Interquartile range (IQR)100.34

Descriptive statistics

Standard deviation3529.113
Coefficient of variation (CV)4.2997336
Kurtosis24.923117
Mean820.7748
Median Absolute Deviation (MAD)43.42
Skewness4.9890557
Sum20519.37
Variance12454638
MonotonicityNot monotonic
2023-12-11T03:56:59.127030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20.0 2
 
1.2%
86.4 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%
83.0 1
 
0.6%
376.0 1
 
0.6%
40.74 1
 
0.6%
Other values (14) 14
 
8.3%
(Missing) 143
85.1%
ValueCountFrequency (%)
20.0 2
1.2%
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%
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 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

자본금
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)29.2%
Missing38
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean3.8165374 × 108
Minimum1 × 108
Maximum1.7555271 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:59.330178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1 × 108
Q11.0005096 × 108
median2 × 108
Q32.0530938 × 108
95-th percentile7.6527567 × 108
Maximum1.7555271 × 1010
Range1.7455271 × 1010
Interquartile range (IQR)1.0525841 × 108

Descriptive statistics

Standard deviation1.542321 × 109
Coefficient of variation (CV)4.0411525
Kurtosis121.78662
Mean3.8165374 × 108
Median Absolute Deviation (MAD)97161032
Skewness10.883699
Sum4.9614987 × 1010
Variance2.378754 × 1018
MonotonicityNot monotonic
2023-12-11T03:56:59.559727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
200000000 47
28.0%
100000000 33
19.6%
350000000 7
 
4.2%
300000000 6
 
3.6%
500000000 3
 
1.8%
250000000 2
 
1.2%
205000000 1
 
0.6%
101342000 1
 
0.6%
210000000 1
 
0.6%
220000000 1
 
0.6%
Other values (28) 28
16.7%
(Missing) 38
22.6%
ValueCountFrequency (%)
100000000 33
19.6%
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%
110000000 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 

Distinct140
Distinct (%)95.9%
Missing22
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean20184198
Minimum20100517
Maximum20201106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:56:59.806946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20143073
Q120180311
median20190674
Q320200326
95-th percentile20200922
Maximum20201106
Range100589
Interquartile range (IQR)20014.75

Descriptive statistics

Standard deviation20859.611
Coefficient of variation (CV)0.0010334624
Kurtosis3.2743668
Mean20184198
Median Absolute Deviation (MAD)9840.5
Skewness-1.7724985
Sum2.946893 × 109
Variance4.3512337 × 108
MonotonicityNot monotonic
2023-12-11T03:57:00.032701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200513 2
 
1.2%
20200328 2
 
1.2%
20200926 2
 
1.2%
20180927 2
 
1.2%
20200922 2
 
1.2%
20200808 2
 
1.2%
20190816 1
 
0.6%
20200327 1
 
0.6%
20200317 1
 
0.6%
20191111 1
 
0.6%
Other values (130) 130
77.4%
(Missing) 22
 
13.1%
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 (%)
20201106 1
0.6%
20201029 1
0.6%
20201022 1
0.6%
20201012 1
0.6%
20201001 1
0.6%
20200926 2
1.2%
20200922 2
1.2%
20200824 1
0.6%
20200822 1
0.6%
20200817 1
0.6%

보험종료일자
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)95.2%
Missing22
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean20194614
Minimum20110517
Maximum20211106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:57:00.248869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20153072
Q120190505
median20200818
Q320210327
95-th percentile20210922
Maximum20211106
Range100589
Interquartile range (IQR)19822

Descriptive statistics

Standard deviation20883.348
Coefficient of variation (CV)0.0010341048
Kurtosis3.3943675
Mean20194614
Median Absolute Deviation (MAD)9710.5
Skewness-1.8168211
Sum2.9484136 × 109
Variance4.3611421 × 108
MonotonicityNot monotonic
2023-12-11T03:57:00.469652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210808 2
 
1.2%
20210527 2
 
1.2%
20190926 2
 
1.2%
20210327 2
 
1.2%
20210926 2
 
1.2%
20210922 2
 
1.2%
20201126 2
 
1.2%
20200815 1
 
0.6%
20210515 1
 
0.6%
20210824 1
 
0.6%
Other values (129) 129
76.8%
(Missing) 22
 
13.1%
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 (%)
20211106 1
0.6%
20211029 1
0.6%
20211022 1
0.6%
20211012 1
0.6%
20210930 1
0.6%
20210926 2
1.2%
20210922 2
1.2%
20210824 1
0.6%
20210821 1
0.6%
20210816 1
0.6%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing143
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean820.76
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T03:57:00.625882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.8
Q141
median77
Q3141
95-th percentile555.2
Maximum17749
Range17729
Interquartile range (IQR)100

Descriptive statistics

Standard deviation3529.1168
Coefficient of variation (CV)4.2998158
Kurtosis24.923092
Mean820.76
Median Absolute Deviation (MAD)43
Skewness4.9890522
Sum20519
Variance12454666
MonotonicityNot monotonic
2023-12-11T03:57:00.776715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
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%
83 1
 
0.6%
376 1
 
0.6%
Other values (13) 13
 
7.7%
(Missing) 143
85.1%
ValueCountFrequency (%)
20 2
1.2%
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%
71 1
0.6%
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
158159일반여행업03_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>
159160일반여행업03_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>
160161일반여행업03_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
161162일반여행업03_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
162163일반여행업03_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
163164일반여행업03_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
164165일반여행업03_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>
165166일반여행업03_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>
166167일반여행업03_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
167168일반여행업03_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