Overview

Dataset statistics

Number of variables63
Number of observations188
Missing cells4631
Missing cells (%)39.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory100.9 KiB
Average record size in memory549.7 B

Variable types

Numeric16
Categorical20
Text9
Unsupported17
DateTime1

Dataset

Description22년03월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092881&dataSetDetailId=DDI_0000092890&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (81.7%)Imbalance
건물용도명 is highly imbalanced (72.4%)Imbalance
영문상호주소 is highly imbalanced (50.5%)Imbalance
폐업일자 has 162 (86.2%) missing valuesMissing
휴업시작일자 has 188 (100.0%) missing valuesMissing
휴업종료일자 has 188 (100.0%) missing valuesMissing
재개업일자 has 188 (100.0%) missing valuesMissing
소재지전화 has 62 (33.0%) missing valuesMissing
소재지면적 has 188 (100.0%) missing valuesMissing
소재지우편번호 has 154 (81.9%) missing valuesMissing
도로명우편번호 has 3 (1.6%) missing valuesMissing
업태구분명 has 188 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.6%) missing valuesMissing
좌표정보(Y) has 3 (1.6%) missing valuesMissing
문화사업자구분명 has 188 (100.0%) missing valuesMissing
지역구분명 has 170 (90.4%) missing valuesMissing
총층수 has 124 (66.0%) missing valuesMissing
주변환경명 has 185 (98.4%) missing valuesMissing
제작취급품목내용 has 188 (100.0%) missing valuesMissing
보험기관명 has 37 (19.7%) missing valuesMissing
지상층수 has 122 (64.9%) missing valuesMissing
영문상호명 has 100 (53.2%) missing valuesMissing
선박제원 has 188 (100.0%) missing valuesMissing
기념품종류 has 188 (100.0%) missing valuesMissing
시설면적 has 114 (60.6%) missing valuesMissing
놀이기구수내역 has 188 (100.0%) missing valuesMissing
방송시설유무 has 188 (100.0%) missing valuesMissing
발전시설유무 has 188 (100.0%) missing valuesMissing
의무실유무 has 188 (100.0%) missing valuesMissing
안내소유무 has 188 (100.0%) missing valuesMissing
기획여행보험시작일자 has 188 (100.0%) missing valuesMissing
기획여행보험종료일자 has 188 (100.0%) missing valuesMissing
자본금 has 24 (12.8%) missing valuesMissing
보험시작일자 has 29 (15.4%) missing valuesMissing
보험종료일자 has 29 (15.4%) missing valuesMissing
부대시설내역 has 188 (100.0%) missing valuesMissing
시설규모 has 114 (60.6%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 49 (26.1%) zerosZeros
지상층수 has 50 (26.6%) zerosZeros
시설면적 has 44 (23.4%) zerosZeros
자본금 has 18 (9.6%) zerosZeros
시설규모 has 44 (23.4%) zerosZeros

Reproduction

Analysis started2024-04-16 21:29:32.590230
Analysis finished2024-04-16 21:29:33.311351
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.5
Minimum1
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:33.368763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.35
Q147.75
median94.5
Q3141.25
95-th percentile178.65
Maximum188
Range187
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation54.415071
Coefficient of variation (CV)0.57582086
Kurtosis-1.2
Mean94.5
Median Absolute Deviation (MAD)47
Skewness0
Sum17766
Variance2961
MonotonicityStrictly increasing
2024-04-17T06:29:33.487906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
131 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
Other values (178) 178
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
종합여행업
188 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합여행업 188
100.0%

Length

2024-04-17T06:29:33.588863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:33.685056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 188
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
03_12_03_P
188 

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 188
100.0%

Length

2024-04-17T06:29:33.780372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:33.857727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 188
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435904.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:33.933488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3425000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation25050.353
Coefficient of variation (CV)0.00729076
Kurtosis-1.5628462
Mean3435904.3
Median Absolute Deviation (MAD)15000
Skewness0.27568674
Sum6.4595 × 108
Variance6.275202 × 108
MonotonicityIncreasing
2024-04-17T06:29:34.043655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 69
36.7%
3460000 29
15.4%
3420000 25
 
13.3%
3470000 24
 
12.8%
3450000 21
 
11.2%
3440000 9
 
4.8%
3480000 8
 
4.3%
3430000 3
 
1.6%
ValueCountFrequency (%)
3410000 69
36.7%
3420000 25
 
13.3%
3430000 3
 
1.6%
3440000 9
 
4.8%
3450000 21
 
11.2%
3460000 29
15.4%
3470000 24
 
12.8%
3480000 8
 
4.3%
ValueCountFrequency (%)
3480000 8
 
4.3%
3470000 24
 
12.8%
3460000 29
15.4%
3450000 21
 
11.2%
3440000 9
 
4.8%
3430000 3
 
1.6%
3420000 25
 
13.3%
3410000 69
36.7%
Distinct91
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T06:29:34.213351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3760
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

Unique46 ?
Unique (%)24.5%

Sample

1st rowCDFI2260042017000007
2nd rowCDFI2260042015000003
3rd rowCDFI2260042015000004
4th rowCDFI2260042016000004
5th rowCDFI2260042009000001
ValueCountFrequency (%)
cdfi2260042017000002 7
 
3.7%
cdfi2260042021000001 7
 
3.7%
cdfi2260042021000002 6
 
3.2%
cdfi2260042016000001 6
 
3.2%
cdfi2260042020000001 5
 
2.7%
cdfi2260042020000002 5
 
2.7%
cdfi2260042016000002 5
 
2.7%
cdfi2260042019000001 5
 
2.7%
cdfi2260042018000001 5
 
2.7%
cdfi2260042017000001 4
 
2.1%
Other values (81) 133
70.7%
2024-04-17T06:29:34.480938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1534
40.8%
2 668
17.8%
1 229
 
6.1%
6 227
 
6.0%
4 210
 
5.6%
C 188
 
5.0%
D 188
 
5.0%
F 188
 
5.0%
I 188
 
5.0%
7 33
 
0.9%
Other values (4) 107
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3008
80.0%
Uppercase Letter 752
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1534
51.0%
2 668
22.2%
1 229
 
7.6%
6 227
 
7.5%
4 210
 
7.0%
7 33
 
1.1%
3 28
 
0.9%
9 27
 
0.9%
8 27
 
0.9%
5 25
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 188
25.0%
D 188
25.0%
F 188
25.0%
I 188
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3008
80.0%
Latin 752
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1534
51.0%
2 668
22.2%
1 229
 
7.6%
6 227
 
7.5%
4 210
 
7.0%
7 33
 
1.1%
3 28
 
0.9%
9 27
 
0.9%
8 27
 
0.9%
5 25
 
0.8%
Latin
ValueCountFrequency (%)
C 188
25.0%
D 188
25.0%
F 188
25.0%
I 188
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1534
40.8%
2 668
17.8%
1 229
 
6.1%
6 227
 
6.0%
4 210
 
5.6%
C 188
 
5.0%
D 188
 
5.0%
F 188
 
5.0%
I 188
 
5.0%
7 33
 
0.9%
Other values (4) 107
 
2.8%

인허가일자
Real number (ℝ)

Distinct180
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156938
Minimum19981030
Maximum20220216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:34.601328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20090509
Q120130815
median20160817
Q320190205
95-th percentile20211020
Maximum20220216
Range239186
Interquartile range (IQR)59390.25

Descriptive statistics

Standard deviation40597.464
Coefficient of variation (CV)0.002014069
Kurtosis1.8112015
Mean20156938
Median Absolute Deviation (MAD)29447.5
Skewness-1.0893243
Sum3.7895044 × 109
Variance1.6481541 × 109
MonotonicityNot monotonic
2024-04-17T06:29:34.707294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160817 2
 
1.1%
20211020 2
 
1.1%
20120110 2
 
1.1%
20160309 2
 
1.1%
20170105 2
 
1.1%
20170914 2
 
1.1%
20160607 2
 
1.1%
20160802 2
 
1.1%
20180404 1
 
0.5%
20120727 1
 
0.5%
Other values (170) 170
90.4%
ValueCountFrequency (%)
19981030 1
0.5%
20020530 1
0.5%
20050530 1
0.5%
20050817 1
0.5%
20050926 1
0.5%
20060220 1
0.5%
20060704 1
0.5%
20070830 1
0.5%
20080911 1
0.5%
20090506 1
0.5%
ValueCountFrequency (%)
20220216 1
0.5%
20220203 1
0.5%
20220110 1
0.5%
20211228 1
0.5%
20211222 1
0.5%
20211115 1
0.5%
20211103 1
0.5%
20211028 1
0.5%
20211022 1
0.5%
20211020 2
1.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
176 
20191203
 
5
20191120
 
3
20190211
 
2
20120522
 
1

Length

Max length8
Median length4
Mean length4.2553191
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row20191203
2nd row20190211
3rd row20191203
4th row20191203
5th row20120522

Common Values

ValueCountFrequency (%)
<NA> 176
93.6%
20191203 5
 
2.7%
20191120 3
 
1.6%
20190211 2
 
1.1%
20120522 1
 
0.5%
20141111 1
 
0.5%

Length

2024-04-17T06:29:34.812328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:34.902203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
93.6%
20191203 5
 
2.7%
20191120 3
 
1.6%
20190211 2
 
1.1%
20120522 1
 
0.5%
20141111 1
 
0.5%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
150 
3
26 
4
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 150
79.8%
3 26
 
13.8%
4 12
 
6.4%

Length

2024-04-17T06:29:34.988009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:35.066577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 150
79.8%
3 26
 
13.8%
4 12
 
6.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
150 
폐업
26 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length5.1595745
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 150
79.8%
폐업 26
 
13.8%
취소/말소/만료/정지/중지 12
 
6.4%

Length

2024-04-17T06:29:35.177920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:35.267268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 150
79.8%
폐업 26
 
13.8%
취소/말소/만료/정지/중지 12
 
6.4%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
13
150 
3
26 
31
 
12

Length

Max length2
Median length2
Mean length1.8617021
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 150
79.8%
3 26
 
13.8%
31 12
 
6.4%

Length

2024-04-17T06:29:35.598590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:35.688982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 150
79.8%
3 26
 
13.8%
31 12
 
6.4%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업중
150 
폐업
26 
등록취소
 
12

Length

Max length4
Median length3
Mean length2.9255319
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 150
79.8%
폐업 26
 
13.8%
등록취소 12
 
6.4%

Length

2024-04-17T06:29:35.778668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:35.865038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 150
79.8%
폐업 26
 
13.8%
등록취소 12
 
6.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing162
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean20172929
Minimum20110720
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:35.947540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation27671.896
Coefficient of variation (CV)0.0013717342
Kurtosis-0.47060801
Mean20172929
Median Absolute Deviation (MAD)19952.5
Skewness-0.63957949
Sum5.2449615 × 108
Variance7.6573381 × 108
MonotonicityNot monotonic
2024-04-17T06:29:36.041871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20130513 1
 
0.5%
20200702 1
 
0.5%
20170516 1
 
0.5%
20200725 1
 
0.5%
20200826 1
 
0.5%
20181220 1
 
0.5%
20200324 1
 
0.5%
20190725 1
 
0.5%
20170109 1
 
0.5%
20180228 1
 
0.5%
Other values (16) 16
 
8.5%
(Missing) 162
86.2%
ValueCountFrequency (%)
20110720 1
0.5%
20130301 1
0.5%
20130513 1
0.5%
20131114 1
0.5%
20141008 1
0.5%
20141121 1
0.5%
20160413 1
0.5%
20160420 1
0.5%
20170109 1
0.5%
20170516 1
0.5%
ValueCountFrequency (%)
20210531 1
0.5%
20210112 1
0.5%
20200826 1
0.5%
20200725 1
0.5%
20200702 1
0.5%
20200324 1
0.5%
20200318 1
0.5%
20190725 1
0.5%
20190318 1
0.5%
20181220 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

소재지전화
Text

MISSING 

Distinct123
Distinct (%)97.6%
Missing62
Missing (%)33.0%
Memory size1.6 KiB
2024-04-17T06:29:36.223446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.373016
Min length8

Characters and Unicode

Total characters1433
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

Unique120 ?
Unique (%)95.2%

Sample

1st row053-254-7475
2nd row053-252-5454
3rd row053-215-3355
4th row053-255-2779
5th row431-0077
ValueCountFrequency (%)
053 11
 
7.7%
327-2888 2
 
1.4%
053-215-3355 2
 
1.4%
053-216-6000 2
 
1.4%
070-4333-0430 1
 
0.7%
053-794-8700 1
 
0.7%
0533418874 1
 
0.7%
053-639-7875 1
 
0.7%
053-215-1979 1
 
0.7%
053-770-5411 1
 
0.7%
Other values (120) 120
83.9%
2024-04-17T06:29:36.517882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 243
17.0%
5 224
15.6%
3 174
12.1%
- 174
12.1%
2 128
8.9%
4 102
7.1%
7 94
 
6.6%
1 80
 
5.6%
8 73
 
5.1%
6 71
 
5.0%
Other values (3) 70
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1241
86.6%
Dash Punctuation 174
 
12.1%
Space Separator 17
 
1.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 243
19.6%
5 224
18.0%
3 174
14.0%
2 128
10.3%
4 102
8.2%
7 94
 
7.6%
1 80
 
6.4%
8 73
 
5.9%
6 71
 
5.7%
9 52
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 243
17.0%
5 224
15.6%
3 174
12.1%
- 174
12.1%
2 128
8.9%
4 102
7.1%
7 94
 
6.6%
1 80
 
5.6%
8 73
 
5.1%
6 71
 
5.0%
Other values (3) 70
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 243
17.0%
5 224
15.6%
3 174
12.1%
- 174
12.1%
2 128
8.9%
4 102
7.1%
7 94
 
6.6%
1 80
 
5.6%
8 73
 
5.1%
6 71
 
5.0%
Other values (3) 70
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing154
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean702774.88
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:36.622194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2838.2615
Coefficient of variation (CV)0.0040386496
Kurtosis1.5505443
Mean702774.88
Median Absolute Deviation (MAD)1366
Skewness1.3122223
Sum23894346
Variance8055728.5
MonotonicityNot monotonic
2024-04-17T06:29:36.719110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
700421 4
 
2.1%
700422 3
 
1.6%
700411 1
 
0.5%
705020 1
 
0.5%
711861 1
 
0.5%
704808 1
 
0.5%
704938 1
 
0.5%
706722 1
 
0.5%
706836 1
 
0.5%
706803 1
 
0.5%
Other values (19) 19
 
10.1%
(Missing) 154
81.9%
ValueCountFrequency (%)
700150 1
 
0.5%
700180 1
 
0.5%
700310 1
 
0.5%
700411 1
 
0.5%
700421 4
2.1%
700422 3
1.6%
700715 1
 
0.5%
700719 1
 
0.5%
700826 1
 
0.5%
701742 1
 
0.5%
ValueCountFrequency (%)
711861 1
0.5%
706836 1
0.5%
706823 1
0.5%
706803 1
0.5%
706801 1
0.5%
706722 1
0.5%
705020 1
0.5%
705010 1
0.5%
704938 1
0.5%
704808 1
0.5%
Distinct174
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T06:29:37.025549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length23.244681
Min length13

Characters and Unicode

Total characters4370
Distinct characters192
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

Unique163 ?
Unique (%)86.7%

Sample

1st row대구광역시 중구 삼덕동3가 274-3번지
2nd row대구광역시 중구 동인동2가 108-17번지 3층
3rd row대구광역시 중구 공평동 10-5
4th row대구광역시 중구 서문로2가 83번지
5th row대구광역시 중구 삼덕동2가 210-1번지 진석타워 606호
ValueCountFrequency (%)
대구광역시 188
21.9%
중구 69
 
8.0%
수성구 29
 
3.4%
동구 25
 
2.9%
달서구 24
 
2.8%
북구 21
 
2.4%
신천동 13
 
1.5%
동인동1가 11
 
1.3%
남구 9
 
1.0%
공평동 8
 
0.9%
Other values (328) 461
53.7%
2024-04-17T06:29:37.459455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
844
19.3%
381
 
8.7%
1 229
 
5.2%
228
 
5.2%
216
 
4.9%
192
 
4.4%
190
 
4.3%
189
 
4.3%
- 153
 
3.5%
2 131
 
3.0%
Other values (182) 1617
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2499
57.2%
Decimal Number 857
 
19.6%
Space Separator 844
 
19.3%
Dash Punctuation 153
 
3.5%
Uppercase Letter 9
 
0.2%
Other Punctuation 6
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
381
15.2%
228
 
9.1%
216
 
8.6%
192
 
7.7%
190
 
7.6%
189
 
7.6%
72
 
2.9%
63
 
2.5%
56
 
2.2%
55
 
2.2%
Other values (160) 857
34.3%
Decimal Number
ValueCountFrequency (%)
1 229
26.7%
2 131
15.3%
3 81
 
9.5%
0 69
 
8.1%
7 62
 
7.2%
8 62
 
7.2%
5 61
 
7.1%
9 60
 
7.0%
6 56
 
6.5%
4 46
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
K 2
22.2%
S 1
11.1%
Y 1
11.1%
I 1
11.1%
C 1
11.1%
B 1
11.1%
Space Separator
ValueCountFrequency (%)
844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2499
57.2%
Common 1862
42.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
381
15.2%
228
 
9.1%
216
 
8.6%
192
 
7.7%
190
 
7.6%
189
 
7.6%
72
 
2.9%
63
 
2.5%
56
 
2.2%
55
 
2.2%
Other values (160) 857
34.3%
Common
ValueCountFrequency (%)
844
45.3%
1 229
 
12.3%
- 153
 
8.2%
2 131
 
7.0%
3 81
 
4.4%
0 69
 
3.7%
7 62
 
3.3%
8 62
 
3.3%
5 61
 
3.3%
9 60
 
3.2%
Other values (5) 110
 
5.9%
Latin
ValueCountFrequency (%)
T 2
22.2%
K 2
22.2%
S 1
11.1%
Y 1
11.1%
I 1
11.1%
C 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2499
57.2%
ASCII 1871
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
844
45.1%
1 229
 
12.2%
- 153
 
8.2%
2 131
 
7.0%
3 81
 
4.3%
0 69
 
3.7%
7 62
 
3.3%
8 62
 
3.3%
5 61
 
3.3%
9 60
 
3.2%
Other values (12) 119
 
6.4%
Hangul
ValueCountFrequency (%)
381
15.2%
228
 
9.1%
216
 
8.6%
192
 
7.7%
190
 
7.6%
189
 
7.6%
72
 
2.9%
63
 
2.5%
56
 
2.2%
55
 
2.2%
Other values (160) 857
34.3%
Distinct177
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T06:29:37.783435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length30.957447
Min length20

Characters and Unicode

Total characters5820
Distinct characters239
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

Unique170 ?
Unique (%)90.4%

Sample

1st row대구광역시 중구 달구벌대로447길 34-11 (삼덕동3가)
2nd row대구광역시 중구 국채보상로 673, 3층 (동인동2가)
3rd row대구광역시 중구 국채보상로125길 12, 3층 (공평동)
4th row대구광역시 중구 국채보상로 515, 2층 (서문로2가)
5th row대구광역시 중구 동덕로 115, 606호 (삼덕동2가)
ValueCountFrequency (%)
대구광역시 188
 
16.1%
중구 69
 
5.9%
2층 31
 
2.7%
수성구 29
 
2.5%
동구 25
 
2.1%
달서구 24
 
2.1%
북구 21
 
1.8%
3층 19
 
1.6%
경상감영길 16
 
1.4%
국채보상로 15
 
1.3%
Other values (449) 728
62.5%
2024-04-17T06:29:38.212454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
978
 
16.8%
397
 
6.8%
269
 
4.6%
242
 
4.2%
1 216
 
3.7%
197
 
3.4%
193
 
3.3%
191
 
3.3%
184
 
3.2%
( 183
 
3.1%
Other values (229) 2770
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3348
57.5%
Space Separator 978
 
16.8%
Decimal Number 931
 
16.0%
Open Punctuation 183
 
3.1%
Close Punctuation 183
 
3.1%
Other Punctuation 155
 
2.7%
Dash Punctuation 34
 
0.6%
Uppercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
397
 
11.9%
269
 
8.0%
242
 
7.2%
197
 
5.9%
193
 
5.8%
191
 
5.7%
184
 
5.5%
88
 
2.6%
79
 
2.4%
75
 
2.2%
Other values (205) 1433
42.8%
Decimal Number
ValueCountFrequency (%)
1 216
23.2%
2 164
17.6%
5 97
10.4%
3 87
9.3%
4 72
 
7.7%
0 70
 
7.5%
9 60
 
6.4%
7 60
 
6.4%
6 58
 
6.2%
8 47
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
I 1
14.3%
T 1
14.3%
C 1
14.3%
Y 1
14.3%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 154
99.4%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
978
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3348
57.5%
Common 2465
42.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
397
 
11.9%
269
 
8.0%
242
 
7.2%
197
 
5.9%
193
 
5.8%
191
 
5.7%
184
 
5.5%
88
 
2.6%
79
 
2.4%
75
 
2.2%
Other values (205) 1433
42.8%
Common
ValueCountFrequency (%)
978
39.7%
1 216
 
8.8%
( 183
 
7.4%
) 183
 
7.4%
2 164
 
6.7%
, 154
 
6.2%
5 97
 
3.9%
3 87
 
3.5%
4 72
 
2.9%
0 70
 
2.8%
Other values (7) 261
 
10.6%
Latin
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
I 1
14.3%
T 1
14.3%
C 1
14.3%
Y 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3348
57.5%
ASCII 2471
42.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
978
39.6%
1 216
 
8.7%
( 183
 
7.4%
) 183
 
7.4%
2 164
 
6.6%
, 154
 
6.2%
5 97
 
3.9%
3 87
 
3.5%
4 72
 
2.9%
0 70
 
2.8%
Other values (13) 267
 
10.8%
Hangul
ValueCountFrequency (%)
397
 
11.9%
269
 
8.0%
242
 
7.2%
197
 
5.9%
193
 
5.8%
191
 
5.7%
184
 
5.5%
88
 
2.6%
79
 
2.4%
75
 
2.2%
Other values (205) 1433
42.8%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)71.9%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean70524.605
Minimum41033
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:38.349442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41033
5-th percentile41166.2
Q141903
median41938
Q342428
95-th percentile42957.4
Maximum706836
Range665803
Interquartile range (IQR)525

Descriptive statistics

Standard deviation134590.17
Coefficient of variation (CV)1.9084144
Kurtosis18.704491
Mean70524.605
Median Absolute Deviation (MAD)342
Skewness4.5278954
Sum13047052
Variance1.8114515 × 1010
MonotonicityNot monotonic
2024-04-17T06:29:38.480300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 9
 
4.8%
41940 6
 
3.2%
41913 5
 
2.7%
41938 5
 
2.7%
41910 4
 
2.1%
41921 4
 
2.1%
41919 4
 
2.1%
42612 3
 
1.6%
41952 3
 
1.6%
41931 3
 
1.6%
Other values (123) 139
73.9%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
41033 1
0.5%
41061 1
0.5%
41068 1
0.5%
41091 1
0.5%
41117 2
1.1%
41121 1
0.5%
41145 1
0.5%
41147 1
0.5%
41164 1
0.5%
41175 1
0.5%
ValueCountFrequency (%)
706836 1
0.5%
702250 1
0.5%
701827 1
0.5%
701742 1
0.5%
700826 1
0.5%
700719 1
0.5%
700421 1
0.5%
700411 1
0.5%
43013 1
0.5%
42960 1
0.5%

사업장명
Text

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T06:29:38.685171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.7819149
Min length2

Characters and Unicode

Total characters1651
Distinct characters274
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

Unique188 ?
Unique (%)100.0%

Sample

1st row(주)와이제이 메디컬투어
2nd row(주)국제럭셔리 여행사
3rd row(주)스마일투어
4th row효성메디투어(주)
5th row(주)웰빙투어
ValueCountFrequency (%)
주식회사 28
 
11.2%
여행사 3
 
1.2%
투어 2
 
0.8%
주)와이제이 1
 
0.4%
인조이코리아 1
 
0.4%
주)덱스코 1
 
0.4%
주)그랜드관광 1
 
0.4%
제피러스 1
 
0.4%
진미여행사 1
 
0.4%
주)차이나드림투어 1
 
0.4%
Other values (211) 211
84.1%
2024-04-17T06:29:38.980245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
8.8%
( 114
 
6.9%
) 114
 
6.9%
64
 
3.9%
63
 
3.8%
54
 
3.3%
53
 
3.2%
41
 
2.5%
40
 
2.4%
34
 
2.1%
Other values (264) 928
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1292
78.3%
Open Punctuation 114
 
6.9%
Close Punctuation 114
 
6.9%
Space Separator 63
 
3.8%
Uppercase Letter 54
 
3.3%
Other Punctuation 7
 
0.4%
Lowercase Letter 6
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
146
 
11.3%
64
 
5.0%
54
 
4.2%
53
 
4.1%
41
 
3.2%
40
 
3.1%
34
 
2.6%
34
 
2.6%
32
 
2.5%
32
 
2.5%
Other values (232) 762
59.0%
Uppercase Letter
ValueCountFrequency (%)
T 7
13.0%
C 7
13.0%
N 4
 
7.4%
O 4
 
7.4%
A 4
 
7.4%
R 4
 
7.4%
K 3
 
5.6%
I 3
 
5.6%
D 3
 
5.6%
U 3
 
5.6%
Other values (9) 12
22.2%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
t 1
16.7%
d 1
16.7%
a 1
16.7%
p 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1292
78.3%
Common 299
 
18.1%
Latin 60
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
146
 
11.3%
64
 
5.0%
54
 
4.2%
53
 
4.1%
41
 
3.2%
40
 
3.1%
34
 
2.6%
34
 
2.6%
32
 
2.5%
32
 
2.5%
Other values (232) 762
59.0%
Latin
ValueCountFrequency (%)
T 7
 
11.7%
C 7
 
11.7%
N 4
 
6.7%
O 4
 
6.7%
A 4
 
6.7%
R 4
 
6.7%
K 3
 
5.0%
I 3
 
5.0%
D 3
 
5.0%
U 3
 
5.0%
Other values (15) 18
30.0%
Common
ValueCountFrequency (%)
( 114
38.1%
) 114
38.1%
63
21.1%
. 4
 
1.3%
, 2
 
0.7%
& 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1292
78.3%
ASCII 359
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
146
 
11.3%
64
 
5.0%
54
 
4.2%
53
 
4.1%
41
 
3.2%
40
 
3.1%
34
 
2.6%
34
 
2.6%
32
 
2.5%
32
 
2.5%
Other values (232) 762
59.0%
ASCII
ValueCountFrequency (%)
( 114
31.8%
) 114
31.8%
63
17.5%
T 7
 
1.9%
C 7
 
1.9%
N 4
 
1.1%
. 4
 
1.1%
O 4
 
1.1%
A 4
 
1.1%
R 4
 
1.1%
Other values (22) 34
 
9.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0200016 × 1013
Minimum2.011072 × 1013
Maximum2.0220328 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:39.120125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0164012 × 1013
Q12.0191203 × 1013
median2.0210468 × 1013
Q32.0210843 × 1013
95-th percentile2.0220128 × 1013
Maximum2.0220328 × 1013
Range1.0960797 × 1011
Interquartile range (IQR)1.963978 × 1010

Descriptive statistics

Standard deviation1.9302993 × 1010
Coefficient of variation (CV)0.00095559296
Kurtosis5.4306579
Mean2.0200016 × 1013
Median Absolute Deviation (MAD)9.252529 × 109
Skewness-2.1674656
Sum3.7976029 × 1015
Variance3.7260552 × 1020
MonotonicityNot monotonic
2024-04-17T06:29:39.235050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191203134856 1
 
0.5%
20180419152912 1
 
0.5%
20170519175004 1
 
0.5%
20180511085000 1
 
0.5%
20180611164206 1
 
0.5%
20180629100718 1
 
0.5%
20180710182234 1
 
0.5%
20180831172137 1
 
0.5%
20210618134046 1
 
0.5%
20191127144216 1
 
0.5%
Other values (178) 178
94.7%
ValueCountFrequency (%)
20110720181127 1
0.5%
20120706142721 1
0.5%
20130322160141 1
0.5%
20131114170927 1
0.5%
20140327170931 1
0.5%
20141008134220 1
0.5%
20141111172620 1
0.5%
20141121163021 1
0.5%
20160428132143 1
0.5%
20160509092745 1
0.5%
ValueCountFrequency (%)
20220328154120 1
0.5%
20220328153709 1
0.5%
20220328153327 1
0.5%
20220328151015 1
0.5%
20220328095038 1
0.5%
20220322103106 1
0.5%
20220308163357 1
0.5%
20220217110821 1
0.5%
20220203092740 1
0.5%
20220128102833 1
0.5%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
U
142 
I
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 142
75.5%
I 46
 
24.5%

Length

2024-04-17T06:29:39.341239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:39.435360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 142
75.5%
i 46
 
24.5%
Distinct117
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-03-30 02:40:00
2024-04-17T06:29:39.535060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T06:29:39.644610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)85.4%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean343751.5
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:39.760236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile334916.52
Q1341713.07
median344417.8
Q3345965.2
95-th percentile350670.86
Maximum356698.37
Range27657.577
Interquartile range (IQR)4252.122

Descriptive statistics

Standard deviation4530.9899
Coefficient of variation (CV)0.013181004
Kurtosis1.3045717
Mean343751.5
Median Absolute Deviation (MAD)1712.1274
Skewness-0.20596495
Sum63594027
Variance20529870
MonotonicityNot monotonic
2024-04-17T06:29:39.859694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344643.136454 6
 
3.2%
344686.259338 5
 
2.7%
343436.311606 4
 
2.1%
344417.802132 4
 
2.1%
343251.365403 3
 
1.6%
344880.319985 2
 
1.1%
354462.208404 2
 
1.1%
345273.624155 2
 
1.1%
344123.607113 2
 
1.1%
343991.737064 2
 
1.1%
Other values (148) 153
81.4%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
329040.790333 1
0.5%
332426.0567 1
0.5%
332920.178553 1
0.5%
333408.567124 1
0.5%
334079.549213 1
0.5%
334084.759764 1
0.5%
334497.543059 1
0.5%
334621.225167 1
0.5%
334801.16433 1
0.5%
334873.400608 1
0.5%
ValueCountFrequency (%)
356698.367083 1
0.5%
356365.316953 1
0.5%
355883.113907 1
0.5%
354570.439228 1
0.5%
354462.208404 2
1.1%
354375.109677 1
0.5%
353209.430185 1
0.5%
351259.69746 1
0.5%
350749.968249 1
0.5%
350354.422142 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct158
Distinct (%)85.4%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263826.46
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:39.988902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258691.14
Q1262599.94
median264416.84
Q3264770.3
95-th percentile270445.8
Maximum274249.78
Range35246.979
Interquartile range (IQR)2170.362

Descriptive statistics

Standard deviation3483.2375
Coefficient of variation (CV)0.01320276
Kurtosis14.372547
Mean263826.46
Median Absolute Deviation (MAD)990.56406
Skewness-1.6521507
Sum48807896
Variance12132943
MonotonicityNot monotonic
2024-04-17T06:29:40.104611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264628.838876 6
 
3.2%
263958.880864 5
 
2.7%
264601.46276 4
 
2.1%
264430.537922 4
 
2.1%
264520.837975 3
 
1.6%
263361.152306 2
 
1.1%
264334.817637 2
 
1.1%
262886.177312 2
 
1.1%
264682.567328 2
 
1.1%
265000.0215 2
 
1.1%
Other values (148) 153
81.4%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
239002.806117 1
0.5%
255360.475912 1
0.5%
256334.726827 1
0.5%
256424.622904 1
0.5%
256727.021497 1
0.5%
256876.0 1
0.5%
257551.807221 1
0.5%
257685.501182 1
0.5%
258317.904059 1
0.5%
258645.860959 1
0.5%
ValueCountFrequency (%)
274249.784915 1
0.5%
273375.047803 1
0.5%
272600.063881 1
0.5%
272431.249957 1
0.5%
271563.33218 1
0.5%
271486.362849 1
0.5%
271482.867326 1
0.5%
271184.176036 1
0.5%
270815.680515 1
0.5%
270521.203395 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
종합여행업
188 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합여행업 188
100.0%

Length

2024-04-17T06:29:40.209426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:40.288321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 188
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

지역구분명
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing170
Missing (%)90.4%
Memory size1.6 KiB
2024-04-17T06:29:40.383688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters102
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

Unique5 ?
Unique (%)27.8%

Sample

1st row중심상업지역
2nd row일반주거지역
3rd row일반상업지역
4th row일반상업지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 5
27.8%
일반상업지역 3
16.7%
근린상업지역 3
16.7%
주거지역 2
 
11.1%
중심상업지역 1
 
5.6%
전용주거지역 1
 
5.6%
상업지역 1
 
5.6%
자연녹지지역 1
 
5.6%
일반공업지역 1
 
5.6%
2024-04-17T06:29:40.612803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
18.6%
18
17.6%
9
8.8%
9
8.8%
9
8.8%
8
7.8%
8
7.8%
8
7.8%
3
 
2.9%
3
 
2.9%
Other values (8) 8
7.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
18.6%
18
17.6%
9
8.8%
9
8.8%
9
8.8%
8
7.8%
8
7.8%
8
7.8%
3
 
2.9%
3
 
2.9%
Other values (8) 8
7.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
18.6%
18
17.6%
9
8.8%
9
8.8%
9
8.8%
8
7.8%
8
7.8%
8
7.8%
3
 
2.9%
3
 
2.9%
Other values (8) 8
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
19
18.6%
18
17.6%
9
8.8%
9
8.8%
9
8.8%
8
7.8%
8
7.8%
8
7.8%
3
 
2.9%
3
 
2.9%
Other values (8) 8
7.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)10.9%
Missing124
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean0.84375
Minimum0
Maximum10
Zeros49
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:40.702786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.9697615
Coefficient of variation (CV)2.3345321
Kurtosis10.70866
Mean0.84375
Median Absolute Deviation (MAD)0
Skewness3.0932871
Sum54
Variance3.8799603
MonotonicityNot monotonic
2024-04-17T06:29:40.781156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 49
 
26.1%
2 4
 
2.1%
4 4
 
2.1%
3 3
 
1.6%
1 2
 
1.1%
10 1
 
0.5%
9 1
 
0.5%
(Missing) 124
66.0%
ValueCountFrequency (%)
0 49
26.1%
1 2
 
1.1%
2 4
 
2.1%
3 3
 
1.6%
4 4
 
2.1%
9 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
9 1
 
0.5%
4 4
 
2.1%
3 3
 
1.6%
2 4
 
2.1%
1 2
 
1.1%
0 49
26.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing185
Missing (%)98.4%
Memory size1.6 KiB
2024-04-17T06:29:40.887473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters15
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row기타
2nd row주택가주변
3rd row학교정화(상대)
ValueCountFrequency (%)
기타 1
33.3%
주택가주변 1
33.3%
학교정화(상대 1
33.3%
2024-04-17T06:29:41.094827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Other values (4) 4
26.7%

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 (%)
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Other values (2) 2
15.4%
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 (%)
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Other values (2) 2
15.4%
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 (%)
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Other values (2) 2
15.4%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

보험기관명
Text

MISSING 

Distinct65
Distinct (%)43.0%
Missing37
Missing (%)19.7%
Memory size1.6 KiB
2024-04-17T06:29:41.272090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.390728
Min length4

Characters and Unicode

Total characters1720
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

Unique56 ?
Unique (%)37.1%

Sample

1st row서울보증보험
2nd row한국관광협회중앙회
3rd row서울보증보험 504-86-11037
4th row서울보증보험
5th row관광협회
ValueCountFrequency (%)
서울보증보험 73
34.4%
관광협회 19
 
9.0%
한국관광협회중앙회 17
 
8.0%
한국관광협회 14
 
6.6%
서울보증보험주식회사 12
 
5.7%
관광공제회 8
 
3.8%
여행공제회 7
 
3.3%
한국여행업협회 3
 
1.4%
서울보증보험(주 2
 
0.9%
서울보증 2
 
0.9%
Other values (55) 55
25.9%
2024-04-17T06:29:41.617935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
10.6%
102
 
5.9%
- 102
 
5.9%
0 101
 
5.9%
92
 
5.3%
92
 
5.3%
92
 
5.3%
90
 
5.2%
8 83
 
4.8%
1 68
 
4.0%
Other values (30) 716
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1031
59.9%
Decimal Number 518
30.1%
Dash Punctuation 102
 
5.9%
Space Separator 61
 
3.5%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
182
17.7%
102
9.9%
92
8.9%
92
8.9%
92
8.9%
90
8.7%
62
 
6.0%
61
 
5.9%
56
 
5.4%
34
 
3.3%
Other values (15) 168
16.3%
Decimal Number
ValueCountFrequency (%)
0 101
19.5%
8 83
16.0%
1 68
13.1%
5 50
9.7%
4 49
9.5%
2 42
8.1%
9 33
 
6.4%
3 32
 
6.2%
7 30
 
5.8%
6 30
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
59.9%
Common 689
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
182
17.7%
102
9.9%
92
8.9%
92
8.9%
92
8.9%
90
8.7%
62
 
6.0%
61
 
5.9%
56
 
5.4%
34
 
3.3%
Other values (15) 168
16.3%
Common
ValueCountFrequency (%)
- 102
14.8%
0 101
14.7%
8 83
12.0%
1 68
9.9%
61
8.9%
5 50
7.3%
4 49
7.1%
2 42
6.1%
9 33
 
4.8%
3 32
 
4.6%
Other values (5) 68
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1031
59.9%
ASCII 689
40.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
182
17.7%
102
9.9%
92
8.9%
92
8.9%
92
8.9%
90
8.7%
62
 
6.0%
61
 
5.9%
56
 
5.4%
34
 
3.3%
Other values (15) 168
16.3%
ASCII
ValueCountFrequency (%)
- 102
14.8%
0 101
14.7%
8 83
12.0%
1 68
9.9%
61
8.9%
5 50
7.3%
4 49
7.1%
2 42
6.1%
9 33
 
4.8%
3 32
 
4.6%
Other values (5) 68
9.9%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
171 
근린생활시설
 
8
사무실
 
8
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0425532
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 171
91.0%
근린생활시설 8
 
4.3%
사무실 8
 
4.3%
문화시설 1
 
0.5%

Length

2024-04-17T06:29:41.728683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:41.824616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
91.0%
근린생활시설 8
 
4.3%
사무실 8
 
4.3%
문화시설 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)13.6%
Missing122
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean0.93939394
Minimum0
Maximum13
Zeros50
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:41.896314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.75
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4234672
Coefficient of variation (CV)2.57982
Kurtosis12.798736
Mean0.93939394
Median Absolute Deviation (MAD)0
Skewness3.4703843
Sum62
Variance5.8731935
MonotonicityNot monotonic
2024-04-17T06:29:42.218837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 50
26.6%
1 5
 
2.7%
3 4
 
2.1%
2 2
 
1.1%
10 1
 
0.5%
9 1
 
0.5%
5 1
 
0.5%
13 1
 
0.5%
4 1
 
0.5%
(Missing) 122
64.9%
ValueCountFrequency (%)
0 50
26.6%
1 5
 
2.7%
2 2
 
1.1%
3 4
 
2.1%
4 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
13 1
 
0.5%
10 1
 
0.5%
9 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 4
 
2.1%
2 2
 
1.1%
1 5
 
2.7%
0 50
26.6%

지하층수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
50 
1
 
5
2
 
1

Length

Max length4
Median length4
Mean length3.106383
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
70.2%
0 50
 
26.6%
1 5
 
2.7%
2 1
 
0.5%

Length

2024-04-17T06:29:42.336447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:42.439824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
70.2%
0 50
 
26.6%
1 5
 
2.7%
2 1
 
0.5%

객실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:42.526426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:42.608523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

건축연면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:42.692981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:42.772596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

영문상호명
Text

MISSING 

Distinct88
Distinct (%)100.0%
Missing100
Missing (%)53.2%
Memory size1.6 KiB
2024-04-17T06:29:42.975233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.193182
Min length3

Characters and Unicode

Total characters1777
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

Unique88 ?
Unique (%)100.0%

Sample

1st rowYJ Medical Tour Co. Ltd
2nd rowGUKJE LUXURY TOUR CO.,LTD
3rd rowSMILE TOUR CO.,LTD
4th rowHYOSUNG MEDI TOUR CO.,LTD
5th rowNOBLESSE MEDI TOUR
ValueCountFrequency (%)
tour 44
 
15.4%
co.,ltd 37
 
12.9%
co 25
 
8.7%
ltd 25
 
8.7%
travel 9
 
3.1%
korea 5
 
1.7%
medi 4
 
1.4%
express 4
 
1.4%
air 3
 
1.0%
daegu 3
 
1.0%
Other values (123) 127
44.4%
2024-04-17T06:29:43.385780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
11.2%
O 140
 
7.9%
T 131
 
7.4%
L 93
 
5.2%
C 87
 
4.9%
R 80
 
4.5%
D 74
 
4.2%
. 74
 
4.2%
E 73
 
4.1%
U 70
 
3.9%
Other values (50) 756
42.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1118
62.9%
Lowercase Letter 309
 
17.4%
Space Separator 199
 
11.2%
Other Punctuation 142
 
8.0%
Dash Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 140
12.5%
T 131
11.7%
L 93
 
8.3%
C 87
 
7.8%
R 80
 
7.2%
D 74
 
6.6%
E 73
 
6.5%
U 70
 
6.3%
A 65
 
5.8%
N 52
 
4.7%
Other values (14) 253
22.6%
Lowercase Letter
ValueCountFrequency (%)
o 41
13.3%
a 30
9.7%
e 29
9.4%
t 28
9.1%
r 26
8.4%
d 21
 
6.8%
n 21
 
6.8%
u 20
 
6.5%
i 18
 
5.8%
c 11
 
3.6%
Other values (14) 64
20.7%
Other Punctuation
ValueCountFrequency (%)
. 74
52.1%
, 62
43.7%
& 5
 
3.5%
' 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
2 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1427
80.3%
Common 350
 
19.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 140
 
9.8%
T 131
 
9.2%
L 93
 
6.5%
C 87
 
6.1%
R 80
 
5.6%
D 74
 
5.2%
E 73
 
5.1%
U 70
 
4.9%
A 65
 
4.6%
N 52
 
3.6%
Other values (38) 562
39.4%
Common
ValueCountFrequency (%)
199
56.9%
. 74
 
21.1%
, 62
 
17.7%
& 5
 
1.4%
- 3
 
0.9%
( 1
 
0.3%
) 1
 
0.3%
' 1
 
0.3%
4 1
 
0.3%
1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
 
11.2%
O 140
 
7.9%
T 131
 
7.4%
L 93
 
5.2%
C 87
 
4.9%
R 80
 
4.5%
D 74
 
4.2%
. 74
 
4.2%
E 73
 
4.1%
U 70
 
3.9%
Other values (50) 756
42.5%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
99 
General travel business
61 
General Travel Agency
11 
Inbound Travel business
 
5
Inbound Travel Agency
 
4
Other values (8)
 
8

Length

Max length24
Median length4
Mean length12.765957
Min length4

Unique

Unique8 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
52.7%
General travel business 61
32.4%
General Travel Agency 11
 
5.9%
Inbound Travel business 5
 
2.7%
Inbound Travel Agency 4
 
2.1%
Inbound travel business 1
 
0.5%
Domestic travel business 1
 
0.5%
GENERAL TRAVEL BUSINESS 1
 
0.5%
Inbound Travel Agent 1
 
0.5%
General Travel Business 1
 
0.5%
Other values (3) 3
 
1.6%

Length

2024-04-17T06:29:43.527692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 99
27.1%
travel 89
24.4%
general 75
20.5%
business 72
19.7%
agency 15
 
4.1%
inbound 12
 
3.3%
agent 2
 
0.5%
domestic 1
 
0.3%

선박총톤수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:43.650924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:43.752218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

선박척수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:43.852546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:43.931202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:44.024231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:44.103700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

좌석수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:44.187909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:44.268437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:44.351466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:44.432343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)39.2%
Missing114
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean279.33757
Minimum0
Maximum17749
Zeros44
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:44.509297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q341.94
95-th percentile227.417
Maximum17749
Range17749
Interquartile range (IQR)41.94

Descriptive statistics

Standard deviation2060.6804
Coefficient of variation (CV)7.3770256
Kurtosis73.693023
Mean279.33757
Median Absolute Deviation (MAD)0
Skewness8.5762804
Sum20670.98
Variance4246403.7
MonotonicityNot monotonic
2024-04-17T06:29:44.610771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 44
 
23.4%
20.0 3
 
1.6%
100.0 1
 
0.5%
376.0 1
 
0.5%
143.36 1
 
0.5%
33.0 1
 
0.5%
50.0 1
 
0.5%
17749.0 1
 
0.5%
86.0 1
 
0.5%
83.0 1
 
0.5%
Other values (19) 19
 
10.1%
(Missing) 114
60.6%
ValueCountFrequency (%)
0.0 44
23.4%
6.61 1
 
0.5%
16.5 1
 
0.5%
20.0 3
 
1.6%
23.28 1
 
0.5%
24.0 1
 
0.5%
27.25 1
 
0.5%
33.0 1
 
0.5%
35.11 1
 
0.5%
40.74 1
 
0.5%
ValueCountFrequency (%)
17749.0 1
0.5%
600.0 1
0.5%
376.0 1
0.5%
248.62 1
0.5%
216.0 1
0.5%
143.36 1
0.5%
141.08 1
0.5%
120.0 1
0.5%
100.0 1
0.5%
86.4 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
137 
0
51 

Length

Max length4
Median length4
Mean length3.1861702
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
72.9%
0 51
 
27.1%

Length

2024-04-17T06:29:44.713038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:29:44.794898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
72.9%
0 51
 
27.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)24.4%
Missing24
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean3.1334677 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros18
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:44.874653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11 × 108
median2 × 108
Q32 × 108
95-th percentile5 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.3790092 × 109
Coefficient of variation (CV)4.4009044
Kurtosis152.51914
Mean3.1334677 × 108
Median Absolute Deviation (MAD)1 × 108
Skewness12.158786
Sum5.1388871 × 1010
Variance1.9016663 × 1018
MonotonicityNot monotonic
2024-04-17T06:29:44.981185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
200000000 50
26.6%
100000000 40
21.3%
0 18
 
9.6%
350000000 7
 
3.7%
300000000 7
 
3.7%
50000000 5
 
2.7%
500000000 3
 
1.6%
250000000 2
 
1.1%
1632780554 1
 
0.5%
220000000 1
 
0.5%
Other values (30) 30
16.0%
(Missing) 24
12.8%
ValueCountFrequency (%)
0 18
9.6%
50000000 5
 
2.7%
50763790 1
 
0.5%
100000000 40
21.3%
100015658 1
 
0.5%
100203849 1
 
0.5%
100950374 1
 
0.5%
101342000 1
 
0.5%
102500000 1
 
0.5%
103177936 1
 
0.5%
ValueCountFrequency (%)
17555271330 1
 
0.5%
2000000000 1
 
0.5%
1632780554 1
 
0.5%
1396785871 1
 
0.5%
1100000000 1
 
0.5%
1000000000 1
 
0.5%
900000000 1
 
0.5%
600612597 1
 
0.5%
500000000 3
1.6%
450000000 1
 
0.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)93.7%
Missing29
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean20193026
Minimum20100517
Maximum20220328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:45.112948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20149175
Q120180966
median20200926
Q320210512
95-th percentile20210922
Maximum20220328
Range119811
Interquartile range (IQR)29546

Descriptive statistics

Standard deviation24075.159
Coefficient of variation (CV)0.0011922511
Kurtosis2.5074144
Mean20193026
Median Absolute Deviation (MAD)9696
Skewness-1.654111
Sum3.2106912 × 109
Variance5.7961326 × 108
MonotonicityNot monotonic
2024-04-17T06:29:45.241588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210617 2
 
1.1%
20210413 2
 
1.1%
20210621 2
 
1.1%
20210610 2
 
1.1%
20210808 2
 
1.1%
20200309 2
 
1.1%
20210922 2
 
1.1%
20210618 2
 
1.1%
20220328 2
 
1.1%
20210601 2
 
1.1%
Other values (139) 139
73.9%
(Missing) 29
 
15.4%
ValueCountFrequency (%)
20100517 1
0.5%
20110101 1
0.5%
20111121 1
0.5%
20120319 1
0.5%
20130515 1
0.5%
20130917 1
0.5%
20131124 1
0.5%
20140726 1
0.5%
20150114 1
0.5%
20150703 1
0.5%
ValueCountFrequency (%)
20220328 2
1.1%
20220321 1
0.5%
20211229 1
0.5%
20211127 1
0.5%
20211109 1
0.5%
20211020 1
0.5%
20210926 1
0.5%
20210922 2
1.1%
20210902 1
0.5%
20210823 1
0.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)94.3%
Missing29
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean20203652
Minimum20110517
Maximum20230527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:45.352478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20159174
Q120195617
median20211007
Q320220531
95-th percentile20230111
Maximum20230527
Range120010
Interquartile range (IQR)24914

Descriptive statistics

Standard deviation24417.285
Coefficient of variation (CV)0.001208558
Kurtosis2.4182005
Mean20203652
Median Absolute Deviation (MAD)9801
Skewness-1.6144651
Sum3.2123806 × 109
Variance5.9620379 × 108
MonotonicityNot monotonic
2024-04-17T06:29:45.461940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220617 3
 
1.6%
20220531 3
 
1.6%
20220412 2
 
1.1%
20220610 2
 
1.1%
20220808 2
 
1.1%
20220922 2
 
1.1%
20220301 2
 
1.1%
20161220 1
 
0.5%
20210824 1
 
0.5%
20170831 1
 
0.5%
Other values (140) 140
74.5%
(Missing) 29
 
15.4%
ValueCountFrequency (%)
20110517 1
0.5%
20120101 1
0.5%
20121121 1
0.5%
20130319 1
0.5%
20140515 1
0.5%
20140916 1
0.5%
20141123 1
0.5%
20150725 1
0.5%
20160113 1
0.5%
20160703 1
0.5%
ValueCountFrequency (%)
20230527 1
0.5%
20230504 1
0.5%
20230328 1
0.5%
20230327 1
0.5%
20230321 1
0.5%
20230308 1
0.5%
20230228 1
0.5%
20230125 1
0.5%
20230109 1
0.5%
20221229 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing188
Missing (%)100.0%
Memory size1.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)36.5%
Missing114
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean279.33784
Minimum0
Maximum17749
Zeros44
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T06:29:45.564187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q341.75
95-th percentile227.55
Maximum17749
Range17749
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation2060.6804
Coefficient of variation (CV)7.3770186
Kurtosis73.693012
Mean279.33784
Median Absolute Deviation (MAD)0
Skewness8.5762794
Sum20671
Variance4246403.8
MonotonicityNot monotonic
2024-04-17T06:29:45.656764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 44
 
23.4%
20 3
 
1.6%
66 2
 
1.1%
86 2
 
1.1%
376 1
 
0.5%
143 1
 
0.5%
33 1
 
0.5%
50 1
 
0.5%
17749 1
 
0.5%
83 1
 
0.5%
Other values (17) 17
 
9.0%
(Missing) 114
60.6%
ValueCountFrequency (%)
0 44
23.4%
7 1
 
0.5%
17 1
 
0.5%
20 3
 
1.6%
23 1
 
0.5%
24 1
 
0.5%
27 1
 
0.5%
33 1
 
0.5%
35 1
 
0.5%
41 1
 
0.5%
ValueCountFrequency (%)
17749 1
0.5%
600 1
0.5%
376 1
0.5%
249 1
0.5%
216 1
0.5%
143 1
0.5%
141 1
0.5%
120 1
0.5%
100 1
0.5%
86 2
1.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01종합여행업03_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>345205.451367263829.028985종합여행업<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>
12종합여행업03_12_03_P3410000CDFI226004201500000320150414201902114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-254-7475<NA>700422대구광역시 중구 동인동2가 108-17번지 3층대구광역시 중구 국채보상로 673, 3층 (동인동2가)41908(주)국제럭셔리 여행사20190211094315U2019-02-13 02:40:00.0<NA>344834.342272264443.735234종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA>GUKJE LUXURY TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002015072220160722<NA><NA>
23종합여행업03_12_03_P3410000CDFI226004201500000420151005201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-252-5454<NA><NA>대구광역시 중구 공평동 10-5대구광역시 중구 국채보상로125길 12, 3층 (공평동)41913(주)스마일투어20191203134208U2019-12-06 02:40:00.0<NA>344326.500069264598.47234종합여행업<NA><NA><NA><NA><NA>서울보증보험 504-86-11037<NA><NA><NA><NA><NA>SMILE TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2010000002018050420190503<NA><NA>
34종합여행업03_12_03_P3410000CDFI226004201600000420160607201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-215-3355<NA><NA>대구광역시 중구 서문로2가 83번지대구광역시 중구 국채보상로 515, 2층 (서문로2가)41921효성메디투어(주)20191203135057U2019-12-06 02:40:00.0<NA>343251.365403264520.837975종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>HYOSUNG MEDI TOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017060720180606<NA><NA>
45종합여행업03_12_03_P3410000CDFI226004200900000120090514201205224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-255-2779<NA>700719대구광역시 중구 삼덕동2가 210-1번지 진석타워 606호대구광역시 중구 동덕로 115, 606호 (삼덕동2가)700719(주)웰빙투어20120706142721I2018-08-31 23:59:59.0<NA>344686.259338263958.880864종합여행업<NA><NA><NA><NA><NA>관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002010051720110517<NA><NA>
56종합여행업03_12_03_P3410000CDFI226004201200000620120905<NA>3폐업3폐업20141008<NA><NA><NA>431-0077<NA>700411대구광역시 중구 삼덕동1가 35-11번지대구광역시 중구 동성로1길 77, 3층 (삼덕동1가)700411노블레스 메디투어20141008134220I2018-08-31 23:59:59.0<NA>344207.765758263970.616141종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NOBLESSE MEDI TOURInbound Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002013051520140515<NA><NA>
67종합여행업03_12_03_P3410000CDFI226004201200000720120919<NA>3폐업3폐업20170623<NA><NA><NA>053-427-0003<NA><NA>대구광역시 중구 공평동 90-1대구광역시 중구 국채보상로 627-1 (공평동)41913(주)동서여행20170623144146I2018-08-31 23:59:59.0<NA>344381.805923264537.742517종합여행업<NA><NA><NA><NA><NA>관광협회<NA><NA><NA><NA><NA>EASTWEST TOURS CO., LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002016112120171121<NA><NA>
78종합여행업03_12_03_P3410000CDFI226004201200000820121002<NA>3폐업3폐업20180502<NA><NA><NA>053-425-9668<NA>700421대구광역시 중구 동인동1가 238-2번지대구광역시 중구 경상감영길 273, 3층 (동인동1가)41911(주) 준트레블코리아20180502155413I2018-08-31 23:59:59.0<NA>344627.941806264621.91494종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>JOON TRAVEL KOREA CO., LTDInbound Travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002016102620171025<NA><NA>
89종합여행업03_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>343251.365403264520.837975종합여행업<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>
910종합여행업03_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>344624.544436264600.89372종합여행업<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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
178179종합여행업03_12_03_P3470000CDFI226004202000000320201214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 갈산동 983대구광역시 달서구 성서로45길 29, 2층 8호 (갈산동)42704우리로 투어20220328153709U2022-03-30 02:40:00.0<NA>335830.630554260742.636265종합여행업<NA><NA>0<NA><NA>한국관광협회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1000000002021122920221229<NA>0
179180종합여행업03_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)20210407085602U2021-04-09 02:40:00.0<NA>338508.03969258645.860959종합여행업<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>2000000002021043020220430<NA><NA>
180181종합여행업03_12_03_P3480000CDFI226004201100000120111220<NA>3폐업3폐업20200725<NA><NA><NA>053-216-6000<NA>711861대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938(주)투어스파밸리20200804100850U2020-08-06 02:40:00.0<NA>347783.240397255360.475912종합여행업<NA>자연녹지지역4<NA><NA>서울보증보험주식회사문화시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17749.0<NA><NA><NA><NA><NA><NA><NA><NA>175552713302015122020161220<NA>17749
181182종합여행업03_12_03_P3480000CDFI226004201600000220160420<NA>3폐업3폐업20170516<NA><NA><NA>053-782-1188<NA><NA>대구광역시 달성군 구지면 예현리 757-5번지대구광역시 달성군 구지면 달성2차동1로 19543013(주)한베투어20170516140503I2018-08-31 23:59:59.0<NA>329040.790333239002.806117종합여행업<NA>일반공업지역2기타<NA>서울보증보험주식회사사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002016042020170419<NA>50
182183종합여행업03_12_03_P3480000CDFI226004201600000320160218<NA>3폐업3폐업20200702<NA><NA><NA>053-581-0891<NA><NA>대구광역시 달성군 다사읍 매곡리 1539대구광역시 달성군 다사읍 대실역북로1길 6 (죽곡휴먼시아1단지)42914(주)참투어기획20200703085348U2020-07-05 02:40:00.0<NA>332426.0567263147.567587종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002016022220170221<NA>33
183184종합여행업03_12_03_P3480000CDFI226004202100000120180508<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 1667-2대구광역시 달성군 다사읍 세천북로 90, 덕광빌딩 3층 305호42922레모니홈20210402173257I2021-04-04 00:23:14.0<NA>332920.178553265158.227109종합여행업<NA><NA><NA><NA><NA>서울보증보험 579-21-00632<NA><NA><NA><NA><NA>LEMONY HOMEGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000000002019081920200818<NA><NA>
184185종합여행업03_12_03_P3480000CDFI226004201700000220151102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명곡리 220 명곡역미래빌5단지(상가동) 201호대구광역시 달성군 화원읍 명천로 243, 상가동 2층 201호 (명곡역미래빌5단지)42960주식회사 여행트렁크20210626092240U2021-06-29 02:40:00.0<NA>334873.400608256334.726827종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002015111620161115<NA><NA>
185186종합여행업03_12_03_P3480000CDFI226004201800000120130528<NA>1영업/정상13영업중<NA><NA><NA><NA>0535279300<NA><NA>대구광역시 달성군 화원읍 설화리 496-4번지대구광역시 달성군 화원읍 성화로 8942945(주)신세계관광20190620172429U2019-06-22 02:40:00.0<NA>334079.549213256424.622904종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002019060320200602<NA><NA>
186187종합여행업03_12_03_P3480000CDFI226004202000000120200928<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4333-0430<NA><NA>대구광역시 달성군 화원읍 성산리 526대구광역시 달성군 화원읍 비슬로495길 2742946(주)네바퀴물류20211020131837U2021-10-22 02:40:00.0<NA>334497.543059256727.021497종합여행업<NA>일반주거지역1주택가주변<NA><NA>근린생활시설<NA><NA><NA><NA>IAN GLOBALTravel Agent<NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>102500000<NA><NA><NA>20
187188종합여행업03_12_03_P3480000CDFI226004201600000120160303<NA>1영업/정상13영업중<NA><NA><NA><NA>0536552000<NA><NA>대구광역시 달성군 화원읍 천내리 918번지 화원이진캐스빌 110동 203호대구광역시 달성군 화원읍 비슬로 2545, 110동 203호 (화원이진캐스빌)42947오성고속관광(주)20180306165637I2018-08-31 23:59:59.0<NA>335089.0256876.0종합여행업<NA>일반상업지역3학교정화(상대)<NA>대구광역시관광협회사무실3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>143.36<NA><NA><NA><NA><NA><NA><NA><NA>3500000002017030720180307<NA>143