Overview

Dataset statistics

Number of variables63
Number of observations163
Missing cells5492
Missing cells (%)53.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.5 KiB
Average record size in memory549.8 B

Variable types

Numeric16
Categorical12
Text9
Unsupported25
DateTime1

Dataset

Description6270000_대구광역시_03_12_03_P_일반여행업_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084861&dataSetDetailId=DDI_0000084871&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (79.5%)Imbalance
건물용도명 is highly imbalanced (73.3%)Imbalance
지하층수 is highly imbalanced (88.3%)Imbalance
폐업일자 has 145 (89.0%) missing valuesMissing
휴업시작일자 has 163 (100.0%) missing valuesMissing
휴업종료일자 has 163 (100.0%) missing valuesMissing
재개업일자 has 163 (100.0%) missing valuesMissing
소재지전화 has 54 (33.1%) missing valuesMissing
소재지면적 has 163 (100.0%) missing valuesMissing
소재지우편번호 has 124 (76.1%) missing valuesMissing
도로명우편번호 has 3 (1.8%) missing valuesMissing
업태구분명 has 163 (100.0%) missing valuesMissing
문화사업자구분명 has 163 (100.0%) missing valuesMissing
지역구분명 has 146 (89.6%) missing valuesMissing
총층수 has 150 (92.0%) missing valuesMissing
주변환경명 has 160 (98.2%) missing valuesMissing
제작취급품목내용 has 163 (100.0%) missing valuesMissing
보험기관명 has 34 (20.9%) missing valuesMissing
지상층수 has 149 (91.4%) missing valuesMissing
객실수 has 163 (100.0%) missing valuesMissing
건축연면적 has 163 (100.0%) missing valuesMissing
영문상호명 has 89 (54.6%) missing valuesMissing
선박총톤수 has 163 (100.0%) missing valuesMissing
선박척수 has 163 (100.0%) missing valuesMissing
선박제원 has 163 (100.0%) missing valuesMissing
무대면적 has 163 (100.0%) missing valuesMissing
좌석수 has 163 (100.0%) missing valuesMissing
기념품종류 has 163 (100.0%) missing valuesMissing
회의실별동시수용인원 has 163 (100.0%) missing valuesMissing
시설면적 has 139 (85.3%) missing valuesMissing
놀이기구수내역 has 163 (100.0%) missing valuesMissing
놀이시설수 has 163 (100.0%) missing valuesMissing
방송시설유무 has 163 (100.0%) missing valuesMissing
발전시설유무 has 163 (100.0%) missing valuesMissing
의무실유무 has 163 (100.0%) missing valuesMissing
안내소유무 has 163 (100.0%) missing valuesMissing
기획여행보험시작일자 has 163 (100.0%) missing valuesMissing
기획여행보험종료일자 has 163 (100.0%) missing valuesMissing
자본금 has 37 (22.7%) missing valuesMissing
보험시작일자 has 24 (14.7%) missing valuesMissing
보험종료일자 has 24 (14.7%) missing valuesMissing
부대시설내역 has 163 (100.0%) missing valuesMissing
시설규모 has 139 (85.3%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:04:36.100852
Analysis finished2023-12-10 19:04:37.124275
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:37.196872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.1
Q141.5
median82
Q3122.5
95-th percentile154.9
Maximum163
Range162
Interquartile range (IQR)81

Descriptive statistics

Standard deviation47.198164
Coefficient of variation (CV)0.57558736
Kurtosis-1.2
Mean82
Median Absolute Deviation (MAD)41
Skewness0
Sum13366
Variance2227.6667
MonotonicityStrictly increasing
2023-12-11T04:04:37.343174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
104 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
Other values (153) 153
93.9%
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 (%)
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반여행업
163 

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 163
100.0%

Length

2023-12-11T04:04:37.508282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:37.626018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 163
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
03_12_03_P
163 

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 163
100.0%

Length

2023-12-11T04:04:37.727021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:37.850730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 163
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435766.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:37.944316image/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 deviation25237.042
Coefficient of variation (CV)0.0073453883
Kurtosis-1.5801787
Mean3435766.9
Median Absolute Deviation (MAD)10000
Skewness0.29614318
Sum5.6003 × 108
Variance6.3690828 × 108
MonotonicityIncreasing
2023-12-11T04:04:38.073703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 60
36.8%
3460000 27
16.6%
3420000 23
 
14.1%
3470000 21
 
12.9%
3450000 16
 
9.8%
3480000 7
 
4.3%
3440000 5
 
3.1%
3430000 4
 
2.5%
ValueCountFrequency (%)
3410000 60
36.8%
3420000 23
 
14.1%
3430000 4
 
2.5%
3440000 5
 
3.1%
3450000 16
 
9.8%
3460000 27
16.6%
3470000 21
 
12.9%
3480000 7
 
4.3%
ValueCountFrequency (%)
3480000 7
 
4.3%
3470000 21
 
12.9%
3460000 27
16.6%
3450000 16
 
9.8%
3440000 5
 
3.1%
3430000 4
 
2.5%
3420000 23
 
14.1%
3410000 60
36.8%
Distinct76
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T04:04:38.314028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3260
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

Unique34 ?
Unique (%)20.9%

Sample

1st rowCDFI2260042017000007
2nd rowCDFI2260042019000005
3rd rowCDFI2260042017000001
4th rowCDFI2260042015000001
5th rowCDFI2260042012000002
ValueCountFrequency (%)
cdfi2260042017000002 7
 
4.3%
cdfi2260042016000001 6
 
3.7%
cdfi2260042019000001 6
 
3.7%
cdfi2260042017000001 5
 
3.1%
cdfi2260042018000001 5
 
3.1%
cdfi2260042018000003 5
 
3.1%
cdfi2260042016000002 5
 
3.1%
cdfi2260042019000002 4
 
2.5%
cdfi2260042020000001 4
 
2.5%
cdfi2260042019000004 4
 
2.5%
Other values (66) 112
68.7%
2023-12-11T04:04:38.684966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1324
40.6%
2 544
16.7%
1 208
 
6.4%
6 201
 
6.2%
4 187
 
5.7%
C 163
 
5.0%
D 163
 
5.0%
F 163
 
5.0%
I 163
 
5.0%
7 33
 
1.0%
Other values (4) 111
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2608
80.0%
Uppercase Letter 652
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1324
50.8%
2 544
20.9%
1 208
 
8.0%
6 201
 
7.7%
4 187
 
7.2%
7 33
 
1.3%
9 31
 
1.2%
8 27
 
1.0%
3 27
 
1.0%
5 26
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 163
25.0%
D 163
25.0%
F 163
25.0%
I 163
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2608
80.0%
Latin 652
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1324
50.8%
2 544
20.9%
1 208
 
8.0%
6 201
 
7.7%
4 187
 
7.2%
7 33
 
1.3%
9 31
 
1.2%
8 27
 
1.0%
3 27
 
1.0%
5 26
 
1.0%
Latin
ValueCountFrequency (%)
C 163
25.0%
D 163
25.0%
F 163
25.0%
I 163
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1324
40.6%
2 544
16.7%
1 208
 
6.4%
6 201
 
6.2%
4 187
 
5.7%
C 163
 
5.0%
D 163
 
5.0%
F 163
 
5.0%
I 163
 
5.0%
7 33
 
1.0%
Other values (4) 111
 
3.4%

인허가일자
Real number (ℝ)

Distinct156
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20149472
Minimum19981030
Maximum20200331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:38.850466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20081870
Q120125760
median20160411
Q320180168
95-th percentile20191124
Maximum20200331
Range219301
Interquartile range (IQR)54408

Descriptive statistics

Standard deviation37961.631
Coefficient of variation (CV)0.0018840013
Kurtosis2.4283609
Mean20149472
Median Absolute Deviation (MAD)20107
Skewness-1.3275866
Sum3.2843639 × 109
Variance1.4410854 × 109
MonotonicityNot monotonic
2023-12-11T04:04:38.996209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160817 2
 
1.2%
20170105 2
 
1.2%
20160802 2
 
1.2%
20120110 2
 
1.2%
20160607 2
 
1.2%
20160309 2
 
1.2%
20170914 2
 
1.2%
20150604 1
 
0.6%
20191125 1
 
0.6%
20190218 1
 
0.6%
Other values (146) 146
89.6%
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 (%)
20200331 1
0.6%
20200317 1
0.6%
20200303 1
0.6%
20200211 1
0.6%
20200108 1
0.6%
20200102 1
0.6%
20191224 1
0.6%
20191223 1
0.6%
20191125 1
0.6%
20191118 1
0.6%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
20191203
 
5
20191120
 
3
20190211
 
2
20141111
 
1

Length

Max length8
Median length4
Mean length4.2944785
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row20191203
2nd row<NA>
3rd row20190211
4th row20191203
5th row20141111

Common Values

ValueCountFrequency (%)
<NA> 151
92.6%
20191203 5
 
3.1%
20191120 3
 
1.8%
20190211 2
 
1.2%
20141111 1
 
0.6%
20120522 1
 
0.6%

Length

2023-12-11T04:04:39.138155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:39.274971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
92.6%
20191203 5
 
3.1%
20191120 3
 
1.8%
20190211 2
 
1.2%
20141111 1
 
0.6%
20120522 1
 
0.6%
Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
133 
3
18 
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 (%)
1 133
81.6%
3 18
 
11.0%
4 12
 
7.4%

Length

2023-12-11T04:04:39.437270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:39.595845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 133
81.6%
3 18
 
11.0%
4 12
 
7.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
133 
폐업
18 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length5.3312883
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 133
81.6%
폐업 18
 
11.0%
취소/말소/만료/정지/중지 12
 
7.4%

Length

2023-12-11T04:04:39.724940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:39.853315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 133
81.6%
폐업 18
 
11.0%
취소/말소/만료/정지/중지 12
 
7.4%
Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
133 
3
18 
31
 
12

Length

Max length2
Median length2
Mean length1.8895706
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 133
81.6%
3 18
 
11.0%
31 12
 
7.4%

Length

2023-12-11T04:04:40.032560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:40.219892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 133
81.6%
3 18
 
11.0%
31 12
 
7.4%
Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
133 
폐업
18 
등록취소
 
12

Length

Max length4
Median length3
Mean length2.9631902
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 133
81.6%
폐업 18
 
11.0%
등록취소 12
 
7.4%

Length

2023-12-11T04:04:40.403467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:40.596293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 133
81.6%
폐업 18
 
11.0%
등록취소 12
 
7.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing145
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean20161738
Minimum20110720
Maximum20200324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:40.741803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110720
5-th percentile20127364
Q120141036
median20170312
Q320180434
95-th percentile20192165
Maximum20200324
Range89604
Interquartile range (IQR)39397.25

Descriptive statistics

Standard deviation25316.439
Coefficient of variation (CV)0.0012556675
Kurtosis-0.76653801
Mean20161738
Median Absolute Deviation (MAD)15456.5
Skewness-0.45861664
Sum3.6291129 × 108
Variance6.4092207 × 108
MonotonicityNot monotonic
2023-12-11T04:04:40.924946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20160413 1
 
0.6%
20170516 1
 
0.6%
20181220 1
 
0.6%
20180228 1
 
0.6%
20170109 1
 
0.6%
20190725 1
 
0.6%
20200324 1
 
0.6%
20130513 1
 
0.6%
20190318 1
 
0.6%
20110720 1
 
0.6%
Other values (8) 8
 
4.9%
(Missing) 145
89.0%
ValueCountFrequency (%)
20110720 1
0.6%
20130301 1
0.6%
20130513 1
0.6%
20131114 1
0.6%
20141008 1
0.6%
20141121 1
0.6%
20160413 1
0.6%
20160420 1
0.6%
20170109 1
0.6%
20170516 1
0.6%
ValueCountFrequency (%)
20200324 1
0.6%
20190725 1
0.6%
20190318 1
0.6%
20181220 1
0.6%
20180502 1
0.6%
20180228 1
0.6%
20171114 1
0.6%
20170623 1
0.6%
20170516 1
0.6%
20170109 1
0.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

소재지전화
Text

MISSING 

Distinct106
Distinct (%)97.2%
Missing54
Missing (%)33.1%
Memory size1.4 KiB
2023-12-11T04:04:41.218178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.366972
Min length8

Characters and Unicode

Total characters1239
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)94.5%

Sample

1st row1544-7535
2nd row256-1900
3rd row053-255-2779
4th row053-215-3355
5th row053-252-5454
ValueCountFrequency (%)
053 14
 
10.7%
327-2888 2
 
1.5%
053-215-3355 2
 
1.5%
053-216-6000 2
 
1.5%
053-794-8700 1
 
0.8%
053-215-1979 1
 
0.8%
053-554-2525 1
 
0.8%
053-742-3535 1
 
0.8%
053-721-7121 1
 
0.8%
792-7788 1
 
0.8%
Other values (105) 105
80.2%
2023-12-11T04:04:41.731676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 212
17.1%
5 194
15.7%
3 152
12.3%
- 148
11.9%
2 114
9.2%
4 82
 
6.6%
1 75
 
6.1%
7 70
 
5.6%
8 66
 
5.3%
6 58
 
4.7%
Other values (2) 68
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1069
86.3%
Dash Punctuation 148
 
11.9%
Space Separator 22
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 212
19.8%
5 194
18.1%
3 152
14.2%
2 114
10.7%
4 82
 
7.7%
1 75
 
7.0%
7 70
 
6.5%
8 66
 
6.2%
6 58
 
5.4%
9 46
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 212
17.1%
5 194
15.7%
3 152
12.3%
- 148
11.9%
2 114
9.2%
4 82
 
6.6%
1 75
 
6.1%
7 70
 
5.6%
8 66
 
5.3%
6 58
 
4.7%
Other values (2) 68
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 212
17.1%
5 194
15.7%
3 152
12.3%
- 148
11.9%
2 114
9.2%
4 82
 
6.6%
1 75
 
6.1%
7 70
 
5.6%
8 66
 
5.3%
6 58
 
4.7%
Other values (2) 68
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean702578.26
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:41.942265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2746.1594
Coefficient of variation (CV)0.0039086882
Kurtosis1.9079422
Mean702578.26
Median Absolute Deviation (MAD)1329
Skewness1.4158083
Sum27400552
Variance7541391.2
MonotonicityNot monotonic
2023-12-11T04:04:42.553604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
700421 5
 
3.1%
700422 3
 
1.8%
706803 1
 
0.6%
705010 1
 
0.6%
702250 1
 
0.6%
702849 1
 
0.6%
702848 1
 
0.6%
706823 1
 
0.6%
706836 1
 
0.6%
706801 1
 
0.6%
Other values (23) 23
 
14.1%
(Missing) 124
76.1%
ValueCountFrequency (%)
700150 1
 
0.6%
700180 1
 
0.6%
700310 1
 
0.6%
700411 1
 
0.6%
700412 1
 
0.6%
700421 5
3.1%
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%
Distinct147
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T04:04:43.122371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length24.079755
Min length13

Characters and Unicode

Total characters3925
Distinct characters179
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

Unique136 ?
Unique (%)83.4%

Sample

1st row대구광역시 중구 삼덕동3가 274-3번지
2nd row대구광역시 중구 대봉동 47-21번지
3rd row대구광역시 중구 서문로1가 69-1번지
4th row대구광역시 중구 공평동 16-32번지
5th row대구광역시 중구 남산동 598-26번지
ValueCountFrequency (%)
대구광역시 163
22.4%
중구 60
 
8.2%
수성구 27
 
3.7%
동구 23
 
3.2%
달서구 21
 
2.9%
북구 16
 
2.2%
신천동 13
 
1.8%
동인동1가 9
 
1.2%
달성군 7
 
1.0%
대봉동 6
 
0.8%
Other values (278) 384
52.7%
2023-12-11T04:04:43.929007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
716
18.2%
331
 
8.4%
198
 
5.0%
1 188
 
4.8%
185
 
4.7%
167
 
4.3%
165
 
4.2%
163
 
4.2%
163
 
4.2%
156
 
4.0%
Other values (169) 1493
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2323
59.2%
Decimal Number 745
 
19.0%
Space Separator 716
 
18.2%
Dash Punctuation 134
 
3.4%
Uppercase Letter 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
331
14.2%
198
 
8.5%
185
 
8.0%
167
 
7.2%
165
 
7.1%
163
 
7.0%
163
 
7.0%
156
 
6.7%
63
 
2.7%
52
 
2.2%
Other values (151) 680
29.3%
Decimal Number
ValueCountFrequency (%)
1 188
25.2%
2 118
15.8%
3 70
 
9.4%
8 62
 
8.3%
0 60
 
8.1%
7 55
 
7.4%
5 52
 
7.0%
9 52
 
7.0%
6 50
 
6.7%
4 38
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
Y 1
16.7%
I 1
16.7%
C 1
16.7%
K 1
16.7%
Space Separator
ValueCountFrequency (%)
716
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2323
59.2%
Common 1596
40.7%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
331
14.2%
198
 
8.5%
185
 
8.0%
167
 
7.2%
165
 
7.1%
163
 
7.0%
163
 
7.0%
156
 
6.7%
63
 
2.7%
52
 
2.2%
Other values (151) 680
29.3%
Common
ValueCountFrequency (%)
716
44.9%
1 188
 
11.8%
- 134
 
8.4%
2 118
 
7.4%
3 70
 
4.4%
8 62
 
3.9%
0 60
 
3.8%
7 55
 
3.4%
5 52
 
3.3%
9 52
 
3.3%
Other values (3) 89
 
5.6%
Latin
ValueCountFrequency (%)
T 2
33.3%
Y 1
16.7%
I 1
16.7%
C 1
16.7%
K 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2323
59.2%
ASCII 1602
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
716
44.7%
1 188
 
11.7%
- 134
 
8.4%
2 118
 
7.4%
3 70
 
4.4%
8 62
 
3.9%
0 60
 
3.7%
7 55
 
3.4%
5 52
 
3.2%
9 52
 
3.2%
Other values (8) 95
 
5.9%
Hangul
ValueCountFrequency (%)
331
14.2%
198
 
8.5%
185
 
8.0%
167
 
7.2%
165
 
7.1%
163
 
7.0%
163
 
7.0%
156
 
6.7%
63
 
2.7%
52
 
2.2%
Other values (151) 680
29.3%
Distinct156
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T04:04:44.507973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length30.386503
Min length20

Characters and Unicode

Total characters4953
Distinct characters227
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

Unique150 ?
Unique (%)92.0%

Sample

1st row대구광역시 중구 달구벌대로447길 34-11 (삼덕동3가)
2nd row대구광역시 중구 동덕로 54, 306호 (대봉동)
3rd row대구광역시 중구 경상감영길 28 (서문로1가)
4th row대구광역시 중구 동성로3길 91 (공평동, 근린생활시설)
5th row대구광역시 중구 2·28길 36, 2층 (남산동)
ValueCountFrequency (%)
대구광역시 163
 
16.6%
중구 60
 
6.1%
수성구 27
 
2.7%
동구 23
 
2.3%
2층 22
 
2.2%
달서구 21
 
2.1%
국채보상로 18
 
1.8%
3층 16
 
1.6%
북구 16
 
1.6%
경상감영길 14
 
1.4%
Other values (391) 603
61.3%
2023-12-11T04:04:45.382683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
821
 
16.6%
347
 
7.0%
236
 
4.8%
211
 
4.3%
1 190
 
3.8%
172
 
3.5%
166
 
3.4%
166
 
3.4%
158
 
3.2%
) 158
 
3.2%
Other values (217) 2328
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2864
57.8%
Space Separator 821
 
16.6%
Decimal Number 790
 
15.9%
Close Punctuation 158
 
3.2%
Open Punctuation 158
 
3.2%
Other Punctuation 127
 
2.6%
Dash Punctuation 29
 
0.6%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
347
 
12.1%
236
 
8.2%
211
 
7.4%
172
 
6.0%
166
 
5.8%
166
 
5.8%
158
 
5.5%
71
 
2.5%
69
 
2.4%
69
 
2.4%
Other values (195) 1199
41.9%
Decimal Number
ValueCountFrequency (%)
1 190
24.1%
2 143
18.1%
3 80
10.1%
5 75
 
9.5%
4 62
 
7.8%
8 51
 
6.5%
0 50
 
6.3%
7 49
 
6.2%
6 48
 
6.1%
9 42
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
T 1
20.0%
C 1
20.0%
I 1
20.0%
Y 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 126
99.2%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
821
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2864
57.8%
Common 2084
42.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
347
 
12.1%
236
 
8.2%
211
 
7.4%
172
 
6.0%
166
 
5.8%
166
 
5.8%
158
 
5.5%
71
 
2.5%
69
 
2.4%
69
 
2.4%
Other values (195) 1199
41.9%
Common
ValueCountFrequency (%)
821
39.4%
1 190
 
9.1%
) 158
 
7.6%
( 158
 
7.6%
2 143
 
6.9%
, 126
 
6.0%
3 80
 
3.8%
5 75
 
3.6%
4 62
 
3.0%
8 51
 
2.4%
Other values (7) 220
 
10.6%
Latin
ValueCountFrequency (%)
A 1
20.0%
T 1
20.0%
C 1
20.0%
I 1
20.0%
Y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2864
57.8%
ASCII 2088
42.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
821
39.3%
1 190
 
9.1%
) 158
 
7.6%
( 158
 
7.6%
2 143
 
6.8%
, 126
 
6.0%
3 80
 
3.8%
5 75
 
3.6%
4 62
 
3.0%
8 51
 
2.4%
Other values (11) 224
 
10.7%
Hangul
ValueCountFrequency (%)
347
 
12.1%
236
 
8.2%
211
 
7.4%
172
 
6.0%
166
 
5.8%
166
 
5.8%
158
 
5.5%
71
 
2.5%
69
 
2.4%
69
 
2.4%
Other values (195) 1199
41.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)73.1%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean74980.419
Minimum41022
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:45.593621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41022
5-th percentile41169.7
Q141895.25
median41940
Q342428.5
95-th percentile75886.7
Maximum706836
Range665814
Interquartile range (IQR)533.25

Descriptive statistics

Standard deviation144273.44
Coefficient of variation (CV)1.9241482
Kurtosis15.572653
Mean74980.419
Median Absolute Deviation (MAD)311
Skewness4.168656
Sum11996867
Variance2.0814825 × 1010
MonotonicityNot monotonic
2023-12-11T04:04:45.809726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 7
 
4.3%
41919 5
 
3.1%
41940 5
 
3.1%
41921 5
 
3.1%
41931 3
 
1.8%
41937 3
 
1.8%
41952 3
 
1.8%
41913 3
 
1.8%
41908 2
 
1.2%
41951 2
 
1.2%
Other values (107) 122
74.8%
(Missing) 3
 
1.8%
ValueCountFrequency (%)
41022 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%
41229 2
1.2%
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 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T04:04:46.187265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.7607362
Min length2

Characters and Unicode

Total characters1428
Distinct characters250
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 (%)100.0%

Sample

1st row(주)와이제이 메디컬투어
2nd row주식회사 아는여행사
3rd row(주)세븐레이즈투어
4th row(주)코리아인투어
5th row(주)케이엠이
ValueCountFrequency (%)
주식회사 22
 
10.1%
여행사 3
 
1.4%
투어 2
 
0.9%
코리아 2
 
0.9%
2
 
0.9%
주)와이제이 1
 
0.5%
호텔수성 1
 
0.5%
1
 
0.5%
주)수아벨 1
 
0.5%
알앤디 1
 
0.5%
Other values (182) 182
83.5%
2023-12-11T04:04:46.808928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
8.7%
( 99
 
6.9%
) 99
 
6.9%
55
 
3.9%
55
 
3.9%
49
 
3.4%
48
 
3.4%
38
 
2.7%
37
 
2.6%
32
 
2.2%
Other values (240) 792
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1133
79.3%
Open Punctuation 99
 
6.9%
Close Punctuation 99
 
6.9%
Space Separator 55
 
3.9%
Uppercase Letter 28
 
2.0%
Other Punctuation 7
 
0.5%
Lowercase Letter 6
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
124
 
10.9%
55
 
4.9%
49
 
4.3%
48
 
4.2%
38
 
3.4%
37
 
3.3%
32
 
2.8%
31
 
2.7%
31
 
2.7%
27
 
2.4%
Other values (214) 661
58.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
14.3%
T 4
14.3%
O 3
10.7%
L 3
10.7%
U 2
7.1%
K 2
7.1%
A 2
7.1%
D 2
7.1%
R 2
7.1%
M 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
d 1
16.7%
t 1
16.7%
o 1
16.7%
p 1
16.7%
a 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1133
79.3%
Common 261
 
18.3%
Latin 34
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
124
 
10.9%
55
 
4.9%
49
 
4.3%
48
 
4.2%
38
 
3.4%
37
 
3.3%
32
 
2.8%
31
 
2.7%
31
 
2.7%
27
 
2.4%
Other values (214) 661
58.3%
Latin
ValueCountFrequency (%)
C 4
11.8%
T 4
11.8%
O 3
 
8.8%
L 3
 
8.8%
U 2
 
5.9%
K 2
 
5.9%
A 2
 
5.9%
D 2
 
5.9%
R 2
 
5.9%
d 1
 
2.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
( 99
37.9%
) 99
37.9%
55
21.1%
. 4
 
1.5%
, 2
 
0.8%
& 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1133
79.3%
ASCII 295
 
20.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
124
 
10.9%
55
 
4.9%
49
 
4.3%
48
 
4.2%
38
 
3.4%
37
 
3.3%
32
 
2.8%
31
 
2.7%
31
 
2.7%
27
 
2.4%
Other values (214) 661
58.3%
ASCII
ValueCountFrequency (%)
( 99
33.6%
) 99
33.6%
55
18.6%
. 4
 
1.4%
C 4
 
1.4%
T 4
 
1.4%
O 3
 
1.0%
L 3
 
1.0%
U 2
 
0.7%
K 2
 
0.7%
Other values (16) 20
 
6.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0186062 × 1013
Minimum2.011072 × 1013
Maximum2.0200331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:47.044629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0160436 × 1013
Q12.0181112 × 1013
median2.0190624 × 1013
Q32.0191203 × 1013
95-th percentile2.0200318 × 1013
Maximum2.0200331 × 1013
Range8.9610994 × 1010
Interquartile range (IQR)1.0091027 × 1010

Descriptive statistics

Standard deviation1.5393515 × 1010
Coefficient of variation (CV)0.00076258138
Kurtosis7.1840354
Mean2.0186062 × 1013
Median Absolute Deviation (MAD)5.9906 × 108
Skewness-2.458569
Sum3.2903281 × 1015
Variance2.3696031 × 1020
MonotonicityNot monotonic
2023-12-11T04:04:47.237278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191203134856 1
 
0.6%
20180515112812 1
 
0.6%
20160819181321 1
 
0.6%
20191125141250 1
 
0.6%
20190218160507 1
 
0.6%
20191127144216 1
 
0.6%
20190806090219 1
 
0.6%
20191127144250 1
 
0.6%
20200324153014 1
 
0.6%
20190725154439 1
 
0.6%
Other values (153) 153
93.9%
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 (%)
20200331175217 1
0.6%
20200331103850 1
0.6%
20200327134616 1
0.6%
20200324153014 1
0.6%
20200323170819 1
0.6%
20200323170744 1
0.6%
20200319172154 1
0.6%
20200318162352 1
0.6%
20200318153820 1
0.6%
20200313104945 1
0.6%
Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
106 
I
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 106
65.0%
I 57
35.0%

Length

2023-12-11T04:04:47.425352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:47.600141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 106
65.0%
i 57
35.0%
Distinct96
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2020-04-02 02:40:00
2023-12-11T04:04:47.785643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:04:47.999083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct144
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343795.31
Minimum329040.79
Maximum355883.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:48.186195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335099.05
Q1342172.45
median344375.7
Q3346309.71
95-th percentile350108.71
Maximum355883.11
Range26842.324
Interquartile range (IQR)4137.2589

Descriptive statistics

Standard deviation4342.9059
Coefficient of variation (CV)0.012632243
Kurtosis1.4872869
Mean343795.31
Median Absolute Deviation (MAD)1971.7501
Skewness-0.47498463
Sum56038635
Variance18860831
MonotonicityNot monotonic
2023-12-11T04:04:48.404427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343436.311606 5
 
3.1%
344686.259338 4
 
2.5%
343959.823762 3
 
1.8%
343251.365403 3
 
1.8%
344643.136454 3
 
1.8%
345273.624155 2
 
1.2%
344627.941806 2
 
1.2%
347037.24197 2
 
1.2%
354462.208404 2
 
1.2%
344834.342272 2
 
1.2%
Other values (134) 135
82.8%
ValueCountFrequency (%)
329040.790333 1
0.6%
331515.646418 1
0.6%
332426.0567 1
0.6%
333408.567124 1
0.6%
334079.549213 1
0.6%
334084.759764 1
0.6%
334642.743684 1
0.6%
334862.118774 1
0.6%
335089.0 1
0.6%
335189.460172 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)

Distinct144
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263708.06
Minimum239002.81
Maximum273375.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:48.610870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258899.49
Q1262537.32
median264354.57
Q3264676.69
95-th percentile270352.79
Maximum273375.05
Range34372.242
Interquartile range (IQR)2139.3688

Descriptive statistics

Standard deviation3776.4831
Coefficient of variation (CV)0.014320697
Kurtosis14.990084
Mean263708.06
Median Absolute Deviation (MAD)949.76418
Skewness-2.2642059
Sum42984414
Variance14261825
MonotonicityNot monotonic
2023-12-11T04:04:48.822970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264601.46276 5
 
3.1%
263958.880864 4
 
2.5%
264529.39356 3
 
1.8%
264520.837975 3
 
1.8%
264628.838876 3
 
1.8%
262886.177312 2
 
1.2%
264621.91494 2
 
1.2%
265407.404337 2
 
1.2%
264334.817637 2
 
1.2%
264443.735234 2
 
1.2%
Other values (134) 135
82.8%
ValueCountFrequency (%)
239002.806117 1
0.6%
244431.023729 1
0.6%
255360.475912 1
0.6%
256424.622904 1
0.6%
256659.853925 1
0.6%
256876.0 1
0.6%
257685.501182 1
0.6%
258645.860959 1
0.6%
258872.266996 1
0.6%
259144.519321 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
163 

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 163
100.0%

Length

2023-12-11T04:04:49.006359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:49.159446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반여행업 163
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Text

MISSING 

Distinct9
Distinct (%)52.9%
Missing146
Missing (%)89.6%
Memory size1.4 KiB
2023-12-11T04:04:49.374948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.7647059
Min length4

Characters and Unicode

Total characters98
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 (%)35.3%

Sample

1st row일반주거지역
2nd row중심상업지역
3rd row전용주거지역
4th row일반주거지역
5th row일반상업지역
ValueCountFrequency (%)
일반주거지역 4
23.5%
일반상업지역 4
23.5%
근린상업지역 3
17.6%
중심상업지역 1
 
5.9%
전용주거지역 1
 
5.9%
상업지역 1
 
5.9%
주거지역 1
 
5.9%
일반공업지역 1
 
5.9%
자연녹지지역 1
 
5.9%
2023-12-11T04:04:49.934684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
18.4%
17
17.3%
10
10.2%
9
9.2%
9
9.2%
9
9.2%
6
 
6.1%
6
 
6.1%
3
 
3.1%
3
 
3.1%
Other values (8) 8
8.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
18.4%
17
17.3%
10
10.2%
9
9.2%
9
9.2%
9
9.2%
6
 
6.1%
6
 
6.1%
3
 
3.1%
3
 
3.1%
Other values (8) 8
8.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
18.4%
17
17.3%
10
10.2%
9
9.2%
9
9.2%
9
9.2%
6
 
6.1%
6
 
6.1%
3
 
3.1%
3
 
3.1%
Other values (8) 8
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
18
18.4%
17
17.3%
10
10.2%
9
9.2%
9
9.2%
9
9.2%
6
 
6.1%
6
 
6.1%
3
 
3.1%
3
 
3.1%
Other values (8) 8
8.2%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)46.2%
Missing150
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean3.7692308
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:50.111910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.712743
Coefficient of variation (CV)0.71970732
Kurtosis2.0682772
Mean3.7692308
Median Absolute Deviation (MAD)1
Skewness1.6788046
Sum49
Variance7.3589744
MonotonicityNot monotonic
2023-12-11T04:04:50.263784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4
 
2.5%
4 3
 
1.8%
3 3
 
1.8%
10 1
 
0.6%
9 1
 
0.6%
1 1
 
0.6%
(Missing) 150
92.0%
ValueCountFrequency (%)
1 1
 
0.6%
2 4
2.5%
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
2.5%
1 1
 
0.6%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing160
Missing (%)98.2%
Memory size1.4 KiB
2023-12-11T04:04:50.465534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

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

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row기타
2nd row학교정화(상대)
3rd row아파트지역
ValueCountFrequency (%)
기타 1
33.3%
학교정화(상대 1
33.3%
아파트지역 1
33.3%
2023-12-11T04:04:50.905431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
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%
) 1
 
6.7%
Other values (5) 5
33.3%

Most occurring categories

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

Most frequent character per category

Other Letter
ValueCountFrequency (%)
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%
1
 
7.7%
Other values (3) 3
23.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

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

Most frequent character per script

Hangul
ValueCountFrequency (%)
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%
1
 
7.7%
Other values (3) 3
23.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

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

Most frequent character per block

Hangul
ValueCountFrequency (%)
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%
1
 
7.7%
Other values (3) 3
23.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

보험기관명
Text

MISSING 

Distinct57
Distinct (%)44.2%
Missing34
Missing (%)20.9%
Memory size1.4 KiB
2023-12-11T04:04:51.240848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.55814
Min length4

Characters and Unicode

Total characters1491
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

Unique49 ?
Unique (%)38.0%

Sample

1st row서울보증보험
2nd row관광협회 511-88-00094
3rd row관광협회
4th row서울보증보험
5th row서울보증보험 504-86-11037
ValueCountFrequency (%)
서울보증보험 55
30.1%
관광협회 20
 
10.9%
한국관광협회 15
 
8.2%
한국관광협회중앙회 14
 
7.7%
서울보증보험주식회사 11
 
6.0%
여행공제회 9
 
4.9%
한국여행업협회 4
 
2.2%
서울보증 3
 
1.6%
대구광역시관광협회 2
 
1.1%
501-81-14777 1
 
0.5%
Other values (49) 49
26.8%
2023-12-11T04:04:51.857593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
9.5%
93
 
6.2%
- 92
 
6.2%
0 87
 
5.8%
8 74
 
5.0%
72
 
4.8%
72
 
4.8%
72
 
4.8%
69
 
4.6%
1 64
 
4.3%
Other values (30) 655
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 873
58.6%
Decimal Number 468
31.4%
Dash Punctuation 92
 
6.2%
Space Separator 54
 
3.6%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
141
16.2%
93
10.7%
72
8.2%
72
8.2%
72
8.2%
69
7.9%
57
 
6.5%
55
 
6.3%
53
 
6.1%
33
 
3.8%
Other values (15) 156
17.9%
Decimal Number
ValueCountFrequency (%)
0 87
18.6%
8 74
15.8%
1 64
13.7%
5 49
10.5%
4 45
9.6%
2 38
8.1%
9 33
 
7.1%
3 32
 
6.8%
6 27
 
5.8%
7 19
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
58.6%
Common 618
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
16.2%
93
10.7%
72
8.2%
72
8.2%
72
8.2%
69
7.9%
57
 
6.5%
55
 
6.3%
53
 
6.1%
33
 
3.8%
Other values (15) 156
17.9%
Common
ValueCountFrequency (%)
- 92
14.9%
0 87
14.1%
8 74
12.0%
1 64
10.4%
54
8.7%
5 49
7.9%
4 45
7.3%
2 38
6.1%
9 33
 
5.3%
3 32
 
5.2%
Other values (5) 50
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 873
58.6%
ASCII 618
41.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
141
16.2%
93
10.7%
72
8.2%
72
8.2%
72
8.2%
69
7.9%
57
 
6.5%
55
 
6.3%
53
 
6.1%
33
 
3.8%
Other values (15) 156
17.9%
ASCII
ValueCountFrequency (%)
- 92
14.9%
0 87
14.1%
8 74
12.0%
1 64
10.4%
54
8.7%
5 49
7.9%
4 45
7.3%
2 38
6.1%
9 33
 
5.3%
3 32
 
5.2%
Other values (5) 50
8.1%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
149 
사무실
 
7
근린생활시설
 
6
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0306748
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> 149
91.4%
사무실 7
 
4.3%
근린생활시설 6
 
3.7%
문화시설 1
 
0.6%

Length

2023-12-11T04:04:52.098544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:52.293726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 149
91.4%
사무실 7
 
4.3%
근린생활시설 6
 
3.7%
문화시설 1
 
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)57.1%
Missing149
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean4.1428571
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:52.443317image/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
2023-12-11T04:04:52.616908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4
 
2.5%
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) 149
91.4%
ValueCountFrequency (%)
1 4
2.5%
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
2.5%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
159 
1
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.9263804
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
97.5%
1 3
 
1.8%
2 1
 
0.6%

Length

2023-12-11T04:04:52.808378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:04:52.965729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
97.5%
1 3
 
1.8%
2 1
 
0.6%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

영문상호명
Text

MISSING 

Distinct74
Distinct (%)100.0%
Missing89
Missing (%)54.6%
Memory size1.4 KiB
2023-12-11T04:04:53.369403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27.5
Mean length20.364865
Min length3

Characters and Unicode

Total characters1507
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

Unique74 ?
Unique (%)100.0%

Sample

1st rowYJ Medical Tour Co. Ltd
2nd rowKnowing Travel Agency CO.,LTD
3rd rowSEVENRAYS TOUR CO.,LTD
4th rowKorea In Tour Co.,Ltd
5th rowKME CO., LTD
ValueCountFrequency (%)
tour 37
 
15.5%
co.,ltd 35
 
14.7%
co 20
 
8.4%
ltd 20
 
8.4%
travel 7
 
2.9%
medi 4
 
1.7%
express 4
 
1.7%
hana 3
 
1.3%
air 3
 
1.3%
korea 3
 
1.3%
Other values (99) 102
42.9%
2023-12-11T04:04:53.921761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
10.9%
O 116
 
7.7%
T 112
 
7.4%
L 75
 
5.0%
C 71
 
4.7%
R 66
 
4.4%
D 65
 
4.3%
. 60
 
4.0%
E 59
 
3.9%
U 59
 
3.9%
Other values (50) 659
43.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 933
61.9%
Lowercase Letter 283
 
18.8%
Space Separator 165
 
10.9%
Other Punctuation 118
 
7.8%
Decimal Number 3
 
0.2%
Dash Punctuation 2
 
0.1%
Control 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 116
12.4%
T 112
12.0%
L 75
 
8.0%
C 71
 
7.6%
R 66
 
7.1%
D 65
 
7.0%
E 59
 
6.3%
U 59
 
6.3%
A 57
 
6.1%
N 45
 
4.8%
Other values (15) 208
22.3%
Lowercase Letter
ValueCountFrequency (%)
o 38
13.4%
e 26
9.2%
a 25
8.8%
t 25
8.8%
r 24
 
8.5%
n 20
 
7.1%
d 19
 
6.7%
i 18
 
6.4%
u 17
 
6.0%
g 11
 
3.9%
Other values (14) 60
21.2%
Other Punctuation
ValueCountFrequency (%)
. 60
50.8%
, 54
45.8%
& 4
 
3.4%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1216
80.7%
Common 291
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 116
 
9.5%
T 112
 
9.2%
L 75
 
6.2%
C 71
 
5.8%
R 66
 
5.4%
D 65
 
5.3%
E 59
 
4.9%
U 59
 
4.9%
A 57
 
4.7%
N 45
 
3.7%
Other values (39) 491
40.4%
Common
ValueCountFrequency (%)
165
56.7%
. 60
 
20.6%
, 54
 
18.6%
& 4
 
1.4%
- 2
 
0.7%
2 1
 
0.3%
1 1
 
0.3%
1
 
0.3%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
 
10.9%
O 116
 
7.7%
T 112
 
7.4%
L 75
 
5.0%
C 71
 
4.7%
R 66
 
4.4%
D 65
 
4.3%
. 60
 
4.0%
E 59
 
3.9%
U 59
 
3.9%
Other values (50) 659
43.7%
Distinct11
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
88 
General travel business
49 
General Travel Agency
10 
Inbound Travel Agency
 
5
Inbound Travel business
 
5
Other values (6)
 
6

Length

Max length24
Median length4
Mean length12.546012
Min length4

Unique

Unique6 ?
Unique (%)3.7%

Sample

1st rowGeneral travel business
2nd rowGeneral travel business
3rd rowGeneral travel business
4th rowGeneral travel business
5th rowInbound Travel Agency

Common Values

ValueCountFrequency (%)
<NA> 88
54.0%
General travel business 49
30.1%
General Travel Agency 10
 
6.1%
Inbound Travel Agency 5
 
3.1%
Inbound Travel business 5
 
3.1%
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%

Length

2023-12-11T04:04:54.144875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 88
28.1%
travel 75
24.0%
general 61
19.5%
business 59
18.8%
agency 15
 
4.8%
inbound 13
 
4.2%
domestic 1
 
0.3%
agent 1
 
0.3%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing139
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean854.14042
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:54.339779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24.4875
Q141.94
median79.79
Q3141.65
95-th percentile566.4
Maximum17749
Range17729
Interquartile range (IQR)99.71

Descriptive statistics

Standard deviation3600.9864
Coefficient of variation (CV)4.2159185
Kurtosis23.927372
Mean854.14042
Median Absolute Deviation (MAD)42.445
Skewness4.8884444
Sum20499.37
Variance12967103
MonotonicityNot monotonic
2023-12-11T04:04:54.517541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
42.34 1
 
0.6%
70.78 1
 
0.6%
143.36 1
 
0.6%
33.0 1
 
0.6%
17749.0 1
 
0.6%
50.0 1
 
0.6%
20.0 1
 
0.6%
83.0 1
 
0.6%
376.0 1
 
0.6%
40.74 1
 
0.6%
Other values (14) 14
 
8.6%
(Missing) 139
85.3%
ValueCountFrequency (%)
20.0 1
0.6%
24.0 1
0.6%
27.25 1
0.6%
33.0 1
0.6%
35.11 1
0.6%
40.74 1
0.6%
42.34 1
0.6%
50.0 1
0.6%
66.0 1
0.6%
66.11 1
0.6%
ValueCountFrequency (%)
17749.0 1
0.6%
600.0 1
0.6%
376.0 1
0.6%
248.62 1
0.6%
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 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

자본금
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)29.4%
Missing37
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean3.8978164 × 108
Minimum1 × 108
Maximum1.7555271 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:54.669688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1 × 108
Q11.0039048 × 108
median2 × 108
Q32.0885312 × 108
95-th percentile8.2515315 × 108
Maximum1.7555271 × 1010
Range1.7455271 × 1010
Interquartile range (IQR)1.0846264 × 108

Descriptive statistics

Standard deviation1.5660941 × 109
Coefficient of variation (CV)4.0178756
Kurtosis118.08283
Mean3.8978164 × 108
Median Absolute Deviation (MAD)96807630
Skewness10.717858
Sum4.9112487 × 1010
Variance2.4526509 × 1018
MonotonicityNot monotonic
2023-12-11T04:04:55.206541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
200000000 46
28.2%
100000000 31
19.0%
350000000 7
 
4.3%
300000000 6
 
3.7%
500000000 3
 
1.8%
250000000 2
 
1.2%
103206804 1
 
0.6%
100950374 1
 
0.6%
101342000 1
 
0.6%
210000000 1
 
0.6%
Other values (27) 27
16.6%
(Missing) 37
22.7%
ValueCountFrequency (%)
100000000 31
19.0%
100203849 1
 
0.6%
100950374 1
 
0.6%
101342000 1
 
0.6%
103177936 1
 
0.6%
103206804 1
 
0.6%
103255460 1
 
0.6%
107500000 1
 
0.6%
110000000 1
 
0.6%
110872928 1
 
0.6%
ValueCountFrequency (%)
17555271330 1
 
0.6%
2000000000 1
 
0.6%
1632780554 1
 
0.6%
1396785871 1
 
0.6%
1100000000 1
 
0.6%
1000000000 1
 
0.6%
900000000 1
 
0.6%
600612597 1
 
0.6%
500000000 3
1.8%
450000000 1
 
0.6%

보험시작일자
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)94.2%
Missing24
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean20180206
Minimum20100517
Maximum20200408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:55.421785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20139766
Q120171075
median20190315
Q320190815
95-th percentile20200301
Maximum20200408
Range99891
Interquartile range (IQR)19740

Descriptive statistics

Standard deviation19134.625
Coefficient of variation (CV)0.00094818779
Kurtosis4.2233554
Mean20180206
Median Absolute Deviation (MAD)9208
Skewness-1.9626186
Sum2.8050487 × 109
Variance3.6613389 × 108
MonotonicityNot monotonic
2023-12-11T04:04:55.626003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190328 3
 
1.8%
20190922 2
 
1.2%
20190926 2
 
1.2%
20180927 2
 
1.2%
20190808 2
 
1.2%
20190619 2
 
1.2%
20170830 2
 
1.2%
20200317 1
 
0.6%
20170309 1
 
0.6%
20151211 1
 
0.6%
Other values (121) 121
74.2%
(Missing) 24
 
14.7%
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 (%)
20200408 1
0.6%
20200327 1
0.6%
20200323 1
0.6%
20200317 1
0.6%
20200306 1
0.6%
20200304 1
0.6%
20200302 1
0.6%
20200301 1
0.6%
20200225 1
0.6%
20200211 1
0.6%

보험종료일자
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)94.2%
Missing24
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean20190643
Minimum20110517
Maximum20210527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:55.832230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20149765
Q120190170
median20200327
Q320200820
95-th percentile20210301
Maximum20210527
Range100010
Interquartile range (IQR)10650

Descriptive statistics

Standard deviation19255.256
Coefficient of variation (CV)0.00095367223
Kurtosis4.2413565
Mean20190643
Median Absolute Deviation (MAD)9221
Skewness-1.9762417
Sum2.8064994 × 109
Variance3.7076487 × 108
MonotonicityNot monotonic
2023-12-11T04:04:56.063054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200926 2
 
1.2%
20200808 2
 
1.2%
20200922 2
 
1.2%
20191108 2
 
1.2%
20200328 2
 
1.2%
20201126 2
 
1.2%
20190926 2
 
1.2%
20200513 2
 
1.2%
20160113 1
 
0.6%
20210305 1
 
0.6%
Other values (121) 121
74.2%
(Missing) 24
 
14.7%
ValueCountFrequency (%)
20110517 1
0.6%
20120101 1
0.6%
20121121 1
0.6%
20130319 1
0.6%
20140515 1
0.6%
20140916 1
0.6%
20141123 1
0.6%
20150725 1
0.6%
20160113 1
0.6%
20160703 1
0.6%
ValueCountFrequency (%)
20210527 1
0.6%
20210408 1
0.6%
20210327 1
0.6%
20210323 1
0.6%
20210316 1
0.6%
20210305 1
0.6%
20210303 1
0.6%
20210301 1
0.6%
20210228 1
0.6%
20210225 1
0.6%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)95.8%
Missing139
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean854.125
Minimum20
Maximum17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T04:04:56.251424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24.45
Q141.75
median80
Q3141.5
95-th percentile566.4
Maximum17749
Range17729
Interquartile range (IQR)99.75

Descriptive statistics

Standard deviation3600.9905
Coefficient of variation (CV)4.2159994
Kurtosis23.927347
Mean854.125
Median Absolute Deviation (MAD)42.5
Skewness4.8884408
Sum20499
Variance12967132
MonotonicityNot monotonic
2023-12-11T04:04:56.427276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
66 2
 
1.2%
86 1
 
0.6%
71 1
 
0.6%
143 1
 
0.6%
33 1
 
0.6%
17749 1
 
0.6%
50 1
 
0.6%
20 1
 
0.6%
83 1
 
0.6%
376 1
 
0.6%
Other values (13) 13
 
8.0%
(Missing) 139
85.3%
ValueCountFrequency (%)
20 1
0.6%
24 1
0.6%
27 1
0.6%
33 1
0.6%
35 1
0.6%
41 1
0.6%
42 1
0.6%
50 1
0.6%
66 2
1.2%
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_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>
12일반여행업03_12_03_P3410000CDFI226004201900000520191029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 47-21번지대구광역시 중구 동덕로 54, 306호 (대봉동)41952주식회사 아는여행사20191029172728I2019-10-31 00:23:03.0<NA>344880.319985263361.152306일반여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Knowing Travel Agency CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23일반여행업03_12_03_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>
34일반여행업03_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>
45일반여행업03_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>
56일반여행업03_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>
67일반여행업03_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>343251.365403264520.837975일반여행업<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>
78일반여행업03_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>
89일반여행업03_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>
910일반여행업03_12_03_P3410000CDFI226004201700001020171030<NA>3폐업3폐업20190318<NA><NA><NA><NA><NA><NA>대구광역시 중구 서문로1가 69-1번지대구광역시 중구 경상감영길 28 (서문로1가)41919다국적의료관광통역사협동조합20190318150554U2019-03-20 02:40:00.0<NA>343436.311606264601.46276일반여행업<NA><NA><NA><NA><NA>서울보증보험 818-88-00923<NA><NA><NA><NA><NA>International Medi Tour interpreters cooperativeGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002017103020181029<NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
153154일반여행업03_12_03_P3470000CDFI226004201900000720190910<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 609-6번지대구광역시 달서구 학산로7길 85, 지하1층 (본동)42727중한투어20191218125508I2019-12-20 00:23:35.0<NA>338221.190951260608.060464일반여행업<NA>주거지역<NA><NA><NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
154155일반여행업03_12_03_P3470000CDFI226004201900000520160817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 636-14번지 4층대구광역시 달서구 장기로 73, 4층 (성당동)42678(주)하나고속여행사20191104103711U2019-11-06 02:40:00.0<NA>340186.758478261453.751728일반여행업<NA><NA><NA><NA><NA>서울보증보험 525-86-00463<NA><NA><NA><NA><NA>HANA EXPRESS TRAVEL CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10000000002019100120200930<NA><NA>
155156일반여행업03_12_03_P3470000CDFI226004201800000120160318<NA>1영업/정상13영업중<NA><NA><NA><NA>053-477-5050<NA><NA>대구광역시 달서구 송현동 1970-6번지대구광역시 달서구 앞산순환로 243, 2층 (송현동)42821해성고속관광(주)20190702162737U2019-07-04 02:40:00.0<NA>340431.155941259469.08314일반여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA>HAESUNG EXPRESS TOUR CO.LTDGeneral Travel Agency<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019032120200321<NA><NA>
156157일반여행업03_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
157158일반여행업03_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>
158159일반여행업03_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>
159160일반여행업03_12_03_P3480000CDFI226004201100000120111220<NA>1영업/정상13영업중<NA><NA><NA><NA>053-216-6000<NA>711861대구광역시 달성군 가창면 냉천리 27-9번지대구광역시 달성군 가창면 가창로 89142938(주) 투어 스파밸리20190116130010U2019-01-18 02:40:00.0<NA>347783.240397255360.475912일반여행업<NA>자연녹지지역4<NA><NA>서울보증보험주식회사문화시설41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17749.0<NA><NA><NA><NA><NA><NA><NA><NA>175552713302015122020161220<NA>17749
160161일반여행업03_12_03_P3480000CDFI226004201600000320160218<NA>1영업/정상13영업중<NA><NA><NA><NA>053-581-0891<NA><NA>대구광역시 달성군 다사읍 매곡리 1539번지대구광역시 달성군 다사읍 대실역북로1길 6 (죽곡휴먼시아1단지)42914(주)참투어기획20161101093443I2018-08-31 23:59:59.0<NA>332426.0567263147.567587일반여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002016022220170221<NA>33
161162일반여행업03_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
162163일반여행업03_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