Overview

Dataset statistics

Number of variables63
Number of observations210
Missing cells4390
Missing cells (%)33.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.7 KiB
Average record size in memory549.6 B

Variable types

Numeric16
Categorical23
Text8
Unsupported15
DateTime1

Dataset

Description22년11월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097159&dataSetDetailId=DDI_0000097227&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (84.2%)Imbalance
영업상태구분코드 is highly imbalanced (53.8%)Imbalance
영업상태명 is highly imbalanced (53.8%)Imbalance
상세영업상태코드 is highly imbalanced (53.8%)Imbalance
상세영업상태명 is highly imbalanced (53.8%)Imbalance
휴업시작일자 is highly imbalanced (95.6%)Imbalance
휴업종료일자 is highly imbalanced (95.6%)Imbalance
지역구분명 is highly imbalanced (78.1%)Imbalance
건물용도명 is highly imbalanced (74.4%)Imbalance
영문상호주소 is highly imbalanced (52.5%)Imbalance
폐업일자 has 181 (86.2%) missing valuesMissing
재개업일자 has 210 (100.0%) missing valuesMissing
소재지전화 has 68 (32.4%) missing valuesMissing
소재지면적 has 210 (100.0%) missing valuesMissing
소재지우편번호 has 176 (83.8%) missing valuesMissing
도로명우편번호 has 3 (1.4%) missing valuesMissing
업태구분명 has 210 (100.0%) missing valuesMissing
문화사업자구분명 has 210 (100.0%) missing valuesMissing
총층수 has 93 (44.3%) missing valuesMissing
주변환경명 has 205 (97.6%) missing valuesMissing
제작취급품목내용 has 210 (100.0%) missing valuesMissing
보험기관명 has 45 (21.4%) missing valuesMissing
지상층수 has 92 (43.8%) missing valuesMissing
영문상호명 has 115 (54.8%) missing valuesMissing
선박제원 has 210 (100.0%) missing valuesMissing
기념품종류 has 210 (100.0%) missing valuesMissing
시설면적 has 87 (41.4%) missing valuesMissing
놀이기구수내역 has 210 (100.0%) missing valuesMissing
방송시설유무 has 210 (100.0%) missing valuesMissing
발전시설유무 has 210 (100.0%) missing valuesMissing
의무실유무 has 210 (100.0%) missing valuesMissing
안내소유무 has 210 (100.0%) missing valuesMissing
기획여행보험시작일자 has 210 (100.0%) missing valuesMissing
기획여행보험종료일자 has 210 (100.0%) missing valuesMissing
자본금 has 20 (9.5%) missing valuesMissing
보험시작일자 has 33 (15.7%) missing valuesMissing
보험종료일자 has 33 (15.7%) missing valuesMissing
부대시설내역 has 210 (100.0%) missing valuesMissing
시설규모 has 87 (41.4%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
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 102 (48.6%) zerosZeros
지상층수 has 101 (48.1%) zerosZeros
시설면적 has 91 (43.3%) zerosZeros
자본금 has 29 (13.8%) zerosZeros
시설규모 has 91 (43.3%) zerosZeros

Reproduction

Analysis started2024-04-20 18:37:26.974028
Analysis finished2024-04-20 18:37:28.338114
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.5
Minimum1
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:28.534520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.45
Q153.25
median105.5
Q3157.75
95-th percentile199.55
Maximum210
Range209
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation60.765944
Coefficient of variation (CV)0.57598052
Kurtosis-1.2
Mean105.5
Median Absolute Deviation (MAD)52.5
Skewness0
Sum22155
Variance3692.5
MonotonicityStrictly increasing
2024-04-21T03:37:28.958242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
159 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
Other values (200) 200
95.2%
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 (%)
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
종합여행업
210 

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 210
100.0%

Length

2024-04-21T03:37:29.346689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:29.649734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 210
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
03_12_03_P
210 

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 210
100.0%

Length

2024-04-21T03:37:29.961702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:30.266555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 210
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436047.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:30.545643image/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 deviation25133.093
Coefficient of variation (CV)0.0073145357
Kurtosis-1.5657689
Mean3436047.6
Median Absolute Deviation (MAD)10000
Skewness0.28338714
Sum7.2157 × 108
Variance6.3167236 × 108
MonotonicityIncreasing
2024-04-21T03:37:30.908510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 75
35.7%
3420000 31
14.8%
3460000 31
14.8%
3470000 29
 
13.8%
3450000 22
 
10.5%
3440000 10
 
4.8%
3480000 9
 
4.3%
3430000 3
 
1.4%
ValueCountFrequency (%)
3410000 75
35.7%
3420000 31
14.8%
3430000 3
 
1.4%
3440000 10
 
4.8%
3450000 22
 
10.5%
3460000 31
14.8%
3470000 29
 
13.8%
3480000 9
 
4.3%
ValueCountFrequency (%)
3480000 9
 
4.3%
3470000 29
 
13.8%
3460000 31
14.8%
3450000 22
 
10.5%
3440000 10
 
4.8%
3430000 3
 
1.4%
3420000 31
14.8%
3410000 75
35.7%
Distinct98
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-21T03:37:31.618962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4200
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

Unique47 ?
Unique (%)22.4%

Sample

1st rowCDFI2260042022000003
2nd rowCDFI2260042022000002
3rd rowCDFI2260042012000002
4th rowCDFI2260042015000001
5th rowCDFI2260042017000001
ValueCountFrequency (%)
cdfi2260042021000001 7
 
3.3%
cdfi2260042022000001 7
 
3.3%
cdfi2260042017000002 6
 
2.9%
cdfi2260042016000001 6
 
2.9%
cdfi2260042019000001 5
 
2.4%
cdfi2260042021000002 5
 
2.4%
cdfi2260042018000001 5
 
2.4%
cdfi2260042020000001 5
 
2.4%
cdfi2260042016000002 5
 
2.4%
cdfi2260042022000002 4
 
1.9%
Other values (88) 155
73.8%
2024-04-21T03:37:32.691123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1709
40.7%
2 785
18.7%
6 252
 
6.0%
4 235
 
5.6%
1 229
 
5.5%
C 210
 
5.0%
D 210
 
5.0%
F 210
 
5.0%
I 210
 
5.0%
7 35
 
0.8%
Other values (4) 115
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3360
80.0%
Uppercase Letter 840
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1709
50.9%
2 785
23.4%
6 252
 
7.5%
4 235
 
7.0%
1 229
 
6.8%
7 35
 
1.0%
3 32
 
1.0%
8 28
 
0.8%
5 28
 
0.8%
9 27
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 210
25.0%
D 210
25.0%
F 210
25.0%
I 210
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3360
80.0%
Latin 840
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1709
50.9%
2 785
23.4%
6 252
 
7.5%
4 235
 
7.0%
1 229
 
6.8%
7 35
 
1.0%
3 32
 
1.0%
8 28
 
0.8%
5 28
 
0.8%
9 27
 
0.8%
Latin
ValueCountFrequency (%)
C 210
25.0%
D 210
25.0%
F 210
25.0%
I 210
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1709
40.7%
2 785
18.7%
6 252
 
6.0%
4 235
 
5.6%
1 229
 
5.5%
C 210
 
5.0%
D 210
 
5.0%
F 210
 
5.0%
I 210
 
5.0%
7 35
 
0.8%
Other values (4) 115
 
2.7%

인허가일자
Real number (ℝ)

Distinct202
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20163377
Minimum19981030
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:33.111334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20090611
Q120140469
median20170272
Q320191198
95-th percentile20220618
Maximum20221130
Range240100
Interquartile range (IQR)50729.5

Descriptive statistics

Standard deviation43089.271
Coefficient of variation (CV)0.0021370067
Kurtosis1.3162501
Mean20163377
Median Absolute Deviation (MAD)29494.5
Skewness-0.9285097
Sum4.2343091 × 109
Variance1.8566853 × 109
MonotonicityNot monotonic
2024-04-21T03:37:33.545400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160802 2
 
1.0%
20160309 2
 
1.0%
20160817 2
 
1.0%
20170105 2
 
1.0%
20120110 2
 
1.0%
20170914 2
 
1.0%
20211020 2
 
1.0%
20160607 2
 
1.0%
20120727 1
 
0.5%
20150313 1
 
0.5%
Other values (192) 192
91.4%
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 (%)
20221130 1
0.5%
20221114 1
0.5%
20221111 1
0.5%
20221031 1
0.5%
20221028 1
0.5%
20220830 1
0.5%
20220822 1
0.5%
20220812 1
0.5%
20220805 1
0.5%
20220711 1
0.5%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
20191203
 
4
20191120
 
3
20190211
 
2
20141111
 
1

Length

Max length8
Median length4
Mean length4.2095238
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 199
94.8%
20191203 4
 
1.9%
20191120 3
 
1.4%
20190211 2
 
1.0%
20141111 1
 
0.5%
20120522 1
 
0.5%

Length

2024-04-21T03:37:33.984777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:34.342498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
94.8%
20191203 4
 
1.9%
20191120 3
 
1.4%
20190211 2
 
1.0%
20141111 1
 
0.5%
20120522 1
 
0.5%

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1
168 
3
29 
4
 
12
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 168
80.0%
3 29
 
13.8%
4 12
 
5.7%
2 1
 
0.5%

Length

2024-04-21T03:37:34.711831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:35.028693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 168
80.0%
3 29
 
13.8%
4 12
 
5.7%
2 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업/정상
168 
폐업
29 
취소/말소/만료/정지/중지
 
12
휴업
 
1

Length

Max length14
Median length5
Mean length5.0857143
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row영업/정상
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 168
80.0%
폐업 29
 
13.8%
취소/말소/만료/정지/중지 12
 
5.7%
휴업 1
 
0.5%

Length

2024-04-21T03:37:35.402081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:35.735097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 168
80.0%
폐업 29
 
13.8%
취소/말소/만료/정지/중지 12
 
5.7%
휴업 1
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
13
168 
3
29 
31
 
12
2
 
1

Length

Max length2
Median length2
Mean length1.8571429
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 168
80.0%
3 29
 
13.8%
31 12
 
5.7%
2 1
 
0.5%

Length

2024-04-21T03:37:36.118672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:36.455557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 168
80.0%
3 29
 
13.8%
31 12
 
5.7%
2 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업중
168 
폐업
29 
등록취소
 
12
휴업
 
1

Length

Max length4
Median length3
Mean length2.9142857
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 168
80.0%
폐업 29
 
13.8%
등록취소 12
 
5.7%
휴업 1
 
0.5%

Length

2024-04-21T03:37:36.860598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:37.209841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 168
80.0%
폐업 29
 
13.8%
등록취소 12
 
5.7%
휴업 1
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing181
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean20177882
Minimum20110720
Maximum20220901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:37.562054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110720
5-th percentile20130386
Q120160420
median20180816
Q320200702
95-th percentile20220775
Maximum20220901
Range110181
Interquartile range (IQR)40282

Descriptive statistics

Standard deviation30065.114
Coefficient of variation (CV)0.0014900035
Kurtosis-0.48228322
Mean20177882
Median Absolute Deviation (MAD)19909
Skewness-0.51244897
Sum5.8515858 × 108
Variance9.0391107 × 108
MonotonicityNot monotonic
2024-04-21T03:37:37.967391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20170623 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 (19) 19
 
9.0%
(Missing) 181
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 (%)
20220901 1
0.5%
20220823 1
0.5%
20220704 1
0.5%
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%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
20220811
 
1

Length

Max length8
Median length4
Mean length4.0190476
Min length4

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> 209
99.5%
20220811 1
 
0.5%

Length

2024-04-21T03:37:38.400860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:38.749772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
99.5%
20220811 1
 
0.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
20230831
 
1

Length

Max length8
Median length4
Mean length4.0190476
Min length4

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> 209
99.5%
20230831 1
 
0.5%

Length

2024-04-21T03:37:39.116239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:39.458825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
99.5%
20230831 1
 
0.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

소재지전화
Text

MISSING 

Distinct139
Distinct (%)97.9%
Missing68
Missing (%)32.4%
Memory size1.8 KiB
2024-04-21T03:37:40.296538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.640845
Min length8

Characters and Unicode

Total characters1653
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

Unique136 ?
Unique (%)95.8%

Sample

1st row053-421-2277
2nd row070-4797-1712
3rd row256-1900
4th row1544-7535
5th row053-254-7475
ValueCountFrequency (%)
053 5
 
3.3%
053-216-6000 2
 
1.3%
327-2888 2
 
1.3%
053-215-3355 2
 
1.3%
5055 1
 
0.7%
053-794-8700 1
 
0.7%
053-746-8007 1
 
0.7%
053-474-0088 1
 
0.7%
053-475-1008 1
 
0.7%
053-474-2300 1
 
0.7%
Other values (135) 135
88.8%
2024-04-21T03:37:41.577134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
17.2%
5 247
14.9%
- 236
14.3%
3 185
11.2%
2 141
8.5%
7 122
7.4%
4 116
7.0%
1 92
 
5.6%
8 79
 
4.8%
6 76
 
4.6%
Other values (3) 74
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1406
85.1%
Dash Punctuation 236
 
14.3%
Space Separator 10
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
20.3%
5 247
17.6%
3 185
13.2%
2 141
10.0%
7 122
8.7%
4 116
8.3%
1 92
 
6.5%
8 79
 
5.6%
6 76
 
5.4%
9 63
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1653
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
17.2%
5 247
14.9%
- 236
14.3%
3 185
11.2%
2 141
8.5%
7 122
7.4%
4 116
7.0%
1 92
 
5.6%
8 79
 
4.8%
6 76
 
4.6%
Other values (3) 74
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
17.2%
5 247
14.9%
- 236
14.3%
3 185
11.2%
2 141
8.5%
7 122
7.4%
4 116
7.0%
1 92
 
5.6%
8 79
 
4.8%
6 76
 
4.6%
Other values (3) 74
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing176
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean702774.88
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:41.960407image/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
2024-04-21T03:37:42.355725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
700421 4
 
1.9%
700422 3
 
1.4%
705010 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%
706801 1
 
0.5%
Other values (19) 19
 
9.0%
(Missing) 176
83.8%
ValueCountFrequency (%)
700150 1
 
0.5%
700180 1
 
0.5%
700310 1
 
0.5%
700411 1
 
0.5%
700421 4
1.9%
700422 3
1.4%
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%
Distinct194
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-21T03:37:43.959289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length23.942857
Min length13

Characters and Unicode

Total characters5028
Distinct characters215
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

Unique182 ?
Unique (%)86.7%

Sample

1st row대구광역시 중구 동인동1가 285-2 2층
2nd row대구광역시 중구 북성로1가 6-1 대구스테이션센터, 12층 A07호
3rd row대구광역시 중구 남산동 598-26번지
4th row대구광역시 중구 공평동 16-32번지
5th row대구광역시 중구 서문로1가 69-1번지
ValueCountFrequency (%)
대구광역시 210
 
21.2%
중구 75
 
7.6%
동구 31
 
3.1%
수성구 31
 
3.1%
달서구 29
 
2.9%
북구 22
 
2.2%
신천동 16
 
1.6%
동인동1가 11
 
1.1%
남구 10
 
1.0%
달성군 9
 
0.9%
Other values (369) 547
55.2%
2024-04-21T03:37:45.789621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
966
19.2%
432
 
8.6%
1 280
 
5.6%
252
 
5.0%
247
 
4.9%
217
 
4.3%
214
 
4.3%
212
 
4.2%
- 169
 
3.4%
2 145
 
2.9%
Other values (205) 1894
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2867
57.0%
Decimal Number 999
 
19.9%
Space Separator 966
 
19.2%
Dash Punctuation 169
 
3.4%
Uppercase Letter 15
 
0.3%
Other Punctuation 10
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
432
15.1%
252
 
8.8%
247
 
8.6%
217
 
7.6%
214
 
7.5%
212
 
7.4%
78
 
2.7%
61
 
2.1%
60
 
2.1%
57
 
2.0%
Other values (180) 1037
36.2%
Decimal Number
ValueCountFrequency (%)
1 280
28.0%
2 145
14.5%
3 99
 
9.9%
0 83
 
8.3%
5 81
 
8.1%
8 71
 
7.1%
7 68
 
6.8%
6 65
 
6.5%
9 64
 
6.4%
4 43
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
13.3%
C 2
13.3%
A 2
13.3%
T 2
13.3%
H 2
13.3%
S 1
6.7%
B 1
6.7%
Y 1
6.7%
I 1
6.7%
L 1
6.7%
Space Separator
ValueCountFrequency (%)
966
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2867
57.0%
Common 2146
42.7%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
432
15.1%
252
 
8.8%
247
 
8.6%
217
 
7.6%
214
 
7.5%
212
 
7.4%
78
 
2.7%
61
 
2.1%
60
 
2.1%
57
 
2.0%
Other values (180) 1037
36.2%
Common
ValueCountFrequency (%)
966
45.0%
1 280
 
13.0%
- 169
 
7.9%
2 145
 
6.8%
3 99
 
4.6%
0 83
 
3.9%
5 81
 
3.8%
8 71
 
3.3%
7 68
 
3.2%
6 65
 
3.0%
Other values (5) 119
 
5.5%
Latin
ValueCountFrequency (%)
K 2
13.3%
C 2
13.3%
A 2
13.3%
T 2
13.3%
H 2
13.3%
S 1
6.7%
B 1
6.7%
Y 1
6.7%
I 1
6.7%
L 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2867
57.0%
ASCII 2161
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
966
44.7%
1 280
 
13.0%
- 169
 
7.8%
2 145
 
6.7%
3 99
 
4.6%
0 83
 
3.8%
5 81
 
3.7%
8 71
 
3.3%
7 68
 
3.1%
6 65
 
3.0%
Other values (15) 134
 
6.2%
Hangul
ValueCountFrequency (%)
432
15.1%
252
 
8.8%
247
 
8.6%
217
 
7.6%
214
 
7.5%
212
 
7.4%
78
 
2.7%
61
 
2.1%
60
 
2.1%
57
 
2.0%
Other values (180) 1037
36.2%
Distinct196
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-21T03:37:46.999439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length31.528571
Min length20

Characters and Unicode

Total characters6621
Distinct characters252
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

Unique188 ?
Unique (%)89.5%

Sample

1st row대구광역시 중구 동덕로 187, 2층 (동인동1가)
2nd row대구광역시 중구 태평로 160, 대구스테이션센터 12층 A07호 (북성로1가)
3rd row대구광역시 중구 2·28길 36, 2층 (남산동)
4th row대구광역시 중구 동성로3길 91 (공평동, 근린생활시설)
5th row대구광역시 중구 경상감영길 28 (서문로1가)
ValueCountFrequency (%)
대구광역시 210
 
15.8%
중구 75
 
5.7%
2층 33
 
2.5%
수성구 31
 
2.3%
동구 31
 
2.3%
달서구 29
 
2.2%
북구 22
 
1.7%
3층 21
 
1.6%
신천동 16
 
1.2%
국채보상로 16
 
1.2%
Other values (491) 841
63.5%
2024-04-21T03:37:48.635159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1116
 
16.9%
450
 
6.8%
303
 
4.6%
277
 
4.2%
1 257
 
3.9%
221
 
3.3%
217
 
3.3%
214
 
3.2%
213
 
3.2%
) 204
 
3.1%
Other values (242) 3149
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3803
57.4%
Space Separator 1116
 
16.9%
Decimal Number 1066
 
16.1%
Close Punctuation 204
 
3.1%
Open Punctuation 204
 
3.1%
Other Punctuation 175
 
2.6%
Dash Punctuation 39
 
0.6%
Uppercase Letter 13
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
450
 
11.8%
303
 
8.0%
277
 
7.3%
221
 
5.8%
217
 
5.7%
214
 
5.6%
213
 
5.6%
99
 
2.6%
85
 
2.2%
80
 
2.1%
Other values (215) 1644
43.2%
Decimal Number
ValueCountFrequency (%)
1 257
24.1%
2 178
16.7%
5 108
10.1%
3 100
 
9.4%
0 90
 
8.4%
4 81
 
7.6%
6 71
 
6.7%
9 66
 
6.2%
7 61
 
5.7%
8 54
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
15.4%
A 2
15.4%
H 2
15.4%
K 1
7.7%
S 1
7.7%
L 1
7.7%
B 1
7.7%
I 1
7.7%
T 1
7.7%
Y 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 174
99.4%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3803
57.4%
Common 2805
42.4%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
450
 
11.8%
303
 
8.0%
277
 
7.3%
221
 
5.8%
217
 
5.7%
214
 
5.6%
213
 
5.6%
99
 
2.6%
85
 
2.2%
80
 
2.1%
Other values (215) 1644
43.2%
Common
ValueCountFrequency (%)
1116
39.8%
1 257
 
9.2%
) 204
 
7.3%
( 204
 
7.3%
2 178
 
6.3%
, 174
 
6.2%
5 108
 
3.9%
3 100
 
3.6%
0 90
 
3.2%
4 81
 
2.9%
Other values (7) 293
 
10.4%
Latin
ValueCountFrequency (%)
C 2
15.4%
A 2
15.4%
H 2
15.4%
K 1
7.7%
S 1
7.7%
L 1
7.7%
B 1
7.7%
I 1
7.7%
T 1
7.7%
Y 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3803
57.4%
ASCII 2817
42.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1116
39.6%
1 257
 
9.1%
) 204
 
7.2%
( 204
 
7.2%
2 178
 
6.3%
, 174
 
6.2%
5 108
 
3.8%
3 100
 
3.5%
0 90
 
3.2%
4 81
 
2.9%
Other values (16) 305
 
10.8%
Hangul
ValueCountFrequency (%)
450
 
11.8%
303
 
8.0%
277
 
7.3%
221
 
5.8%
217
 
5.7%
214
 
5.6%
213
 
5.6%
99
 
2.6%
85
 
2.2%
80
 
2.1%
Other values (215) 1644
43.2%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)68.1%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean67487.773
Minimum41026
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:49.028349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41152.1
Q141852.5
median41940
Q342429
95-th percentile42946.7
Maximum706836
Range665810
Interquartile range (IQR)576.5

Descriptive statistics

Standard deviation127506.55
Coefficient of variation (CV)1.8893282
Kurtosis21.45913
Mean67487.773
Median Absolute Deviation (MAD)355
Skewness4.8219506
Sum13969969
Variance1.6257921 × 1010
MonotonicityNot monotonic
2024-04-21T03:37:49.458932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 9
 
4.3%
41940 8
 
3.8%
41910 7
 
3.3%
41938 5
 
2.4%
42672 4
 
1.9%
41913 4
 
1.9%
41921 4
 
1.9%
42612 3
 
1.4%
42038 3
 
1.4%
41243 3
 
1.4%
Other values (131) 157
74.8%
ValueCountFrequency (%)
41026 1
0.5%
41033 1
0.5%
41061 1
0.5%
41068 1
0.5%
41084 1
0.5%
41091 1
0.5%
41117 2
1.0%
41121 1
0.5%
41145 1
0.5%
41147 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 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-21T03:37:50.331153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.747619
Min length2

Characters and Unicode

Total characters1837
Distinct characters287
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

Unique210 ?
Unique (%)100.0%

Sample

1st row(주)여행하는 사람들
2nd row(주)제이케이이노베이션
3rd row(주)케이엠이
4th row(주)코리아인투어
5th row(주)세븐레이즈투어
ValueCountFrequency (%)
주식회사 35
 
12.5%
여행사 4
 
1.4%
투어 2
 
0.7%
주)여행하는 1
 
0.4%
주)그랜드관광 1
 
0.4%
칠성여행사 1
 
0.4%
주)새천년관광 1
 
0.4%
진미여행사 1
 
0.4%
제피러스 1
 
0.4%
엠씨씨 1
 
0.4%
Other values (233) 233
82.9%
2024-04-21T03:37:51.351917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
8.9%
( 125
 
6.8%
) 125
 
6.8%
73
 
4.0%
71
 
3.9%
61
 
3.3%
61
 
3.3%
47
 
2.6%
46
 
2.5%
40
 
2.2%
Other values (277) 1024
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1448
78.8%
Open Punctuation 125
 
6.8%
Close Punctuation 125
 
6.8%
Space Separator 71
 
3.9%
Uppercase Letter 54
 
2.9%
Other Punctuation 7
 
0.4%
Lowercase Letter 6
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
164
 
11.3%
73
 
5.0%
61
 
4.2%
61
 
4.2%
47
 
3.2%
46
 
3.2%
40
 
2.8%
39
 
2.7%
38
 
2.6%
34
 
2.3%
Other values (245) 845
58.4%
Uppercase Letter
ValueCountFrequency (%)
T 7
13.0%
C 7
13.0%
A 4
 
7.4%
R 4
 
7.4%
N 4
 
7.4%
O 4
 
7.4%
D 3
 
5.6%
L 3
 
5.6%
K 3
 
5.6%
U 3
 
5.6%
Other values (9) 12
22.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
16.7%
d 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 (%)
( 125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1448
78.8%
Common 329
 
17.9%
Latin 60
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
164
 
11.3%
73
 
5.0%
61
 
4.2%
61
 
4.2%
47
 
3.2%
46
 
3.2%
40
 
2.8%
39
 
2.7%
38
 
2.6%
34
 
2.3%
Other values (245) 845
58.4%
Latin
ValueCountFrequency (%)
T 7
 
11.7%
C 7
 
11.7%
A 4
 
6.7%
R 4
 
6.7%
N 4
 
6.7%
O 4
 
6.7%
D 3
 
5.0%
L 3
 
5.0%
K 3
 
5.0%
U 3
 
5.0%
Other values (15) 18
30.0%
Common
ValueCountFrequency (%)
( 125
38.0%
) 125
38.0%
71
21.6%
. 4
 
1.2%
, 2
 
0.6%
& 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1448
78.8%
ASCII 389
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
164
 
11.3%
73
 
5.0%
61
 
4.2%
61
 
4.2%
47
 
3.2%
46
 
3.2%
40
 
2.8%
39
 
2.7%
38
 
2.6%
34
 
2.3%
Other values (245) 845
58.4%
ASCII
ValueCountFrequency (%)
( 125
32.1%
) 125
32.1%
71
18.3%
T 7
 
1.8%
C 7
 
1.8%
A 4
 
1.0%
R 4
 
1.0%
N 4
 
1.0%
O 4
 
1.0%
. 4
 
1.0%
Other values (22) 34
 
8.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0206758 × 1013
Minimum2.011072 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:51.748004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0170518 × 1013
Q12.0200728 × 1013
median2.0210966 × 1013
Q32.0220713 × 1013
95-th percentile2.0221013 × 1013
Maximum2.022113 × 1013
Range1.1040999 × 1011
Interquartile range (IQR)1.9984796 × 1010

Descriptive statistics

Standard deviation2.060905 × 1010
Coefficient of variation (CV)0.0010199088
Kurtosis5.4044906
Mean2.0206758 × 1013
Median Absolute Deviation (MAD)9.7509831 × 109
Skewness-2.1919177
Sum4.2434192 × 1015
Variance4.2473293 × 1020
MonotonicityNot monotonic
2024-04-21T03:37:52.193003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220603141715 1
 
0.5%
20220810131037 1
 
0.5%
20210616145036 1
 
0.5%
20200211104338 1
 
0.5%
20170519175004 1
 
0.5%
20220818165950 1
 
0.5%
20220617164710 1
 
0.5%
20210406172842 1
 
0.5%
20180831172137 1
 
0.5%
20210618134046 1
 
0.5%
Other values (200) 200
95.2%
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 (%)
20221130171021 1
0.5%
20221130094840 1
0.5%
20221117150557 1
0.5%
20221115101028 1
0.5%
20221114171836 1
0.5%
20221109091545 1
0.5%
20221102100305 1
0.5%
20221102095150 1
0.5%
20221031161838 1
0.5%
20221019164115 1
0.5%
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
U
164 
I
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 164
78.1%
I 46
 
21.9%

Length

2024-04-21T03:37:52.593458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:52.899927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 164
78.1%
i 46
 
21.9%
Distinct130
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 02:40:00
2024-04-21T03:37:53.241772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:37:53.684862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct175
Distinct (%)83.7%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean343927.52
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:54.079082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile334945.11
Q1341713.07
median344417.8
Q3346271.98
95-th percentile352246.68
Maximum356698.37
Range27657.577
Interquartile range (IQR)4558.9051

Descriptive statistics

Standard deviation4567.8891
Coefficient of variation (CV)0.013281546
Kurtosis1.2178758
Mean343927.52
Median Absolute Deviation (MAD)2159.1958
Skewness-0.15967119
Sum71880852
Variance20865610
MonotonicityNot monotonic
2024-04-21T03:37:54.497983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 7
 
3.3%
343991.737064305 5
 
2.4%
344643.136453669 5
 
2.4%
340608.886881304 4
 
1.9%
344417.802132034 4
 
1.9%
343436.3116066 3
 
1.4%
343251.365402715 3
 
1.4%
344834.342271609 2
 
1.0%
347037.241970286 2
 
1.0%
343877.448102742 2
 
1.0%
Other values (165) 172
81.9%
ValueCountFrequency (%)
329040.790332643 1
0.5%
332426.05670019 1
0.5%
332920.178552596 1
0.5%
333408.567124239 1
0.5%
334079.797650885 1
0.5%
334084.759764015 1
0.5%
334124.85387458 1
0.5%
334497.543059166 1
0.5%
334621.225167521 1
0.5%
334801.164329702 1
0.5%
ValueCountFrequency (%)
356698.367083593 1
0.5%
356365.316953448 1
0.5%
355939.362329351 1
0.5%
355883.113907339 1
0.5%
354569.662143115 1
0.5%
354462.208403527 2
1.0%
354375.109677392 1
0.5%
353209.430185261 1
0.5%
352904.676227722 2
1.0%
351259.697460395 1
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct175
Distinct (%)83.7%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean263853.42
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:54.901465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258728.36
Q1262450.94
median264372.51
Q3264849.33
95-th percentile270370.39
Maximum274249.78
Range35246.975
Interquartile range (IQR)2398.3861

Descriptive statistics

Standard deviation3428.9638
Coefficient of variation (CV)0.012995715
Kurtosis13.732478
Mean263853.42
Median Absolute Deviation (MAD)1011.3598
Skewness-1.4842825
Sum55145366
Variance11757793
MonotonicityNot monotonic
2024-04-21T03:37:55.345349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 7
 
3.3%
265000.02150015 5
 
2.4%
264628.83887629 5
 
2.4%
262318.248215466 4
 
1.9%
264430.537921817 4
 
1.9%
264601.46276033 3
 
1.4%
264520.837975252 3
 
1.4%
264443.73523377 2
 
1.0%
265407.404336831 2
 
1.0%
266003.475373434 2
 
1.0%
Other values (165) 172
81.9%
ValueCountFrequency (%)
239002.806117055 1
0.5%
255360.475912095 1
0.5%
256334.726827389 1
0.5%
256425.592881728 1
0.5%
256713.970171425 1
0.5%
256727.02149651 1
0.5%
256949.478871798 1
0.5%
257551.807221017 1
0.5%
257685.50118193 1
0.5%
258317.904059078 1
0.5%
ValueCountFrequency (%)
274249.781358001 1
0.5%
273375.047802874 1
0.5%
272735.675659876 1
0.5%
272600.06388059 1
0.5%
272431.249957117 1
0.5%
271563.332179627 1
0.5%
271486.362848943 1
0.5%
271482.867325855 1
0.5%
271184.17603601 1
0.5%
270815.680514752 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
종합여행업
210 

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 210
100.0%

Length

2024-04-21T03:37:55.755000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:56.055558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 210
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
190 
일반주거지역
 
6
일반상업지역
 
3
근린상업지역
 
3
중심상업지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.1619048
Min length4

Unique

Unique4 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 190
90.5%
일반주거지역 6
 
2.9%
일반상업지역 3
 
1.4%
근린상업지역 3
 
1.4%
중심상업지역 2
 
1.0%
주거지역 2
 
1.0%
전용주거지역 1
 
0.5%
상업지역 1
 
0.5%
자연녹지지역 1
 
0.5%
일반공업지역 1
 
0.5%

Length

2024-04-21T03:37:56.409499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:37:56.782864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
90.5%
일반주거지역 6
 
2.9%
일반상업지역 3
 
1.4%
근린상업지역 3
 
1.4%
중심상업지역 2
 
1.0%
주거지역 2
 
1.0%
전용주거지역 1
 
0.5%
상업지역 1
 
0.5%
자연녹지지역 1
 
0.5%
일반공업지역 1
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)6.0%
Missing93
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean0.46153846
Minimum0
Maximum10
Zeros102
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:37:57.155582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5116699
Coefficient of variation (CV)3.2752848
Kurtosis21.906466
Mean0.46153846
Median Absolute Deviation (MAD)0
Skewness4.37077
Sum54
Variance2.2851459
MonotonicityNot monotonic
2024-04-21T03:37:57.467674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 102
48.6%
2 4
 
1.9%
4 4
 
1.9%
3 3
 
1.4%
1 2
 
1.0%
10 1
 
0.5%
9 1
 
0.5%
(Missing) 93
44.3%
ValueCountFrequency (%)
0 102
48.6%
1 2
 
1.0%
2 4
 
1.9%
3 3
 
1.4%
4 4
 
1.9%
9 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
9 1
 
0.5%
4 4
 
1.9%
3 3
 
1.4%
2 4
 
1.9%
1 2
 
1.0%
0 102
48.6%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing205
Missing (%)97.6%
Memory size1.8 KiB
2024-04-21T03:37:57.940322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters25
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

Unique2 ?
Unique (%)40.0%

Sample

1st row주택가주변
2nd row주택가주변
3rd row기타
4th row학교정화(상대)
5th row주택가주변
ValueCountFrequency (%)
주택가주변 3
60.0%
기타 1
 
20.0%
학교정화(상대 1
 
20.0%
2024-04-21T03:37:58.832907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
24.0%
3
12.0%
3
12.0%
3
12.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
Other values (4) 4
16.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
92.0%
Open Punctuation 1
 
4.0%
Close Punctuation 1
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
3
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (2) 2
 
8.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
92.0%
Common 2
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
3
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (2) 2
 
8.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
92.0%
ASCII 2
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
3
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (2) 2
 
8.7%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

보험기관명
Text

MISSING 

Distinct67
Distinct (%)40.6%
Missing45
Missing (%)21.4%
Memory size1.8 KiB
2024-04-21T03:37:59.686655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.151515
Min length4

Characters and Unicode

Total characters1840
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

Unique58 ?
Unique (%)35.2%

Sample

1st row관광협회 511-88-00094
2nd row서울보증보험 750-81-01229
3rd row서울보증보험
4th row한국관광협회중앙회
5th row서울보증보험 504-86-11037
ValueCountFrequency (%)
서울보증보험 79
34.8%
한국관광협회중앙회 19
 
8.4%
관광협회 17
 
7.5%
관광공제회 15
 
6.6%
한국관광협회 13
 
5.7%
서울보증보험주식회사 12
 
5.3%
여행공제회 8
 
3.5%
한국여행업협회 3
 
1.3%
서울보증보험(주 2
 
0.9%
서울보증 2
 
0.9%
Other values (57) 57
25.1%
2024-04-21T03:38:00.958708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
10.7%
113
 
6.1%
0 109
 
5.9%
- 106
 
5.8%
99
 
5.4%
99
 
5.4%
99
 
5.4%
97
 
5.3%
8 84
 
4.6%
1 70
 
3.8%
Other values (30) 768
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
61.1%
Decimal Number 539
29.3%
Dash Punctuation 106
 
5.8%
Space Separator 62
 
3.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
196
17.4%
113
10.0%
99
8.8%
99
8.8%
99
8.8%
97
8.6%
70
 
6.2%
69
 
6.1%
57
 
5.1%
35
 
3.1%
Other values (15) 191
17.0%
Decimal Number
ValueCountFrequency (%)
0 109
20.2%
8 84
15.6%
1 70
13.0%
5 53
9.8%
4 48
8.9%
2 46
8.5%
9 35
 
6.5%
6 32
 
5.9%
3 32
 
5.9%
7 30
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Space Separator
ValueCountFrequency (%)
62
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 1125
61.1%
Common 715
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
196
17.4%
113
10.0%
99
8.8%
99
8.8%
99
8.8%
97
8.6%
70
 
6.2%
69
 
6.1%
57
 
5.1%
35
 
3.1%
Other values (15) 191
17.0%
Common
ValueCountFrequency (%)
0 109
15.2%
- 106
14.8%
8 84
11.7%
1 70
9.8%
62
8.7%
5 53
7.4%
4 48
6.7%
2 46
6.4%
9 35
 
4.9%
6 32
 
4.5%
Other values (5) 70
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
61.1%
ASCII 715
38.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
196
17.4%
113
10.0%
99
8.8%
99
8.8%
99
8.8%
97
8.6%
70
 
6.2%
69
 
6.1%
57
 
5.1%
35
 
3.1%
Other values (15) 191
17.0%
ASCII
ValueCountFrequency (%)
0 109
15.2%
- 106
14.8%
8 84
11.7%
1 70
9.8%
62
8.7%
5 53
7.4%
4 48
6.7%
2 46
6.4%
9 35
 
4.9%
6 32
 
4.5%
Other values (5) 70
9.8%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
190 
사무실
 
9
근린생활시설
 
9
교육연구시설
 
1
문화시설
 
1

Length

Max length6
Median length4
Mean length4.052381
Min length3

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 190
90.5%
사무실 9
 
4.3%
근린생활시설 9
 
4.3%
교육연구시설 1
 
0.5%
문화시설 1
 
0.5%

Length

2024-04-21T03:38:01.190154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:01.385837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
90.5%
사무실 9
 
4.3%
근린생활시설 9
 
4.3%
교육연구시설 1
 
0.5%
문화시설 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)7.6%
Missing92
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean0.54237288
Minimum0
Maximum13
Zeros101
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:38:01.562242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8703447
Coefficient of variation (CV)3.448448
Kurtosis24.791427
Mean0.54237288
Median Absolute Deviation (MAD)0
Skewness4.7402609
Sum64
Variance3.4981892
MonotonicityNot monotonic
2024-04-21T03:38:01.975173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 101
48.1%
1 5
 
2.4%
3 4
 
1.9%
2 3
 
1.4%
10 1
 
0.5%
9 1
 
0.5%
5 1
 
0.5%
13 1
 
0.5%
4 1
 
0.5%
(Missing) 92
43.8%
ValueCountFrequency (%)
0 101
48.1%
1 5
 
2.4%
2 3
 
1.4%
3 4
 
1.9%
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
 
1.9%
2 3
 
1.4%
1 5
 
2.4%
0 101
48.1%

지하층수
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
105 
<NA>
99 
1
 
5
2
 
1

Length

Max length4
Median length1
Mean length2.4142857
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 105
50.0%
<NA> 99
47.1%
1 5
 
2.4%
2 1
 
0.5%

Length

2024-04-21T03:38:02.193671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:02.387366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 105
50.0%
na 99
47.1%
1 5
 
2.4%
2 1
 
0.5%

객실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:02.589862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:02.771150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

건축연면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:02.963595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:03.145791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

영문상호명
Text

MISSING 

Distinct95
Distinct (%)100.0%
Missing115
Missing (%)54.8%
Memory size1.8 KiB
2024-04-21T03:38:03.876817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.126316
Min length3

Characters and Unicode

Total characters1912
Distinct characters61
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

Unique95 ?
Unique (%)100.0%

Sample

1st rowKME CO., LTD
2nd rowKorea In Tour Co.,Ltd
3rd rowSEVENRAYS TOUR CO.,LTD
4th rowRadiant Korea CO.,LTD
5th rowYJ Medical Tour Co. Ltd
ValueCountFrequency (%)
tour 46
 
15.0%
co.,ltd 37
 
12.1%
co 28
 
9.1%
ltd 28
 
9.1%
travel 10
 
3.3%
korea 5
 
1.6%
medi 4
 
1.3%
express 4
 
1.3%
daegu 3
 
1.0%
air 3
 
1.0%
Other values (131) 139
45.3%
2024-04-21T03:38:04.897953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
11.1%
O 141
 
7.4%
T 137
 
7.2%
L 97
 
5.1%
C 91
 
4.8%
R 83
 
4.3%
. 81
 
4.2%
E 78
 
4.1%
D 75
 
3.9%
U 71
 
3.7%
Other values (51) 845
44.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1158
60.6%
Lowercase Letter 379
 
19.8%
Space Separator 213
 
11.1%
Other Punctuation 151
 
7.9%
Dash Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 52
13.7%
t 36
9.5%
e 36
9.5%
a 34
9.0%
r 33
8.7%
d 25
 
6.6%
n 25
 
6.6%
u 23
 
6.1%
i 21
 
5.5%
c 15
 
4.0%
Other values (15) 79
20.8%
Uppercase Letter
ValueCountFrequency (%)
O 141
12.2%
T 137
11.8%
L 97
 
8.4%
C 91
 
7.9%
R 83
 
7.2%
E 78
 
6.7%
D 75
 
6.5%
U 71
 
6.1%
A 68
 
5.9%
N 55
 
4.7%
Other values (14) 262
22.6%
Other Punctuation
ValueCountFrequency (%)
. 81
53.6%
, 64
42.4%
& 5
 
3.3%
' 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1537
80.4%
Common 375
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 141
 
9.2%
T 137
 
8.9%
L 97
 
6.3%
C 91
 
5.9%
R 83
 
5.4%
E 78
 
5.1%
D 75
 
4.9%
U 71
 
4.6%
A 68
 
4.4%
N 55
 
3.6%
Other values (39) 641
41.7%
Common
ValueCountFrequency (%)
213
56.8%
. 81
 
21.6%
, 64
 
17.1%
& 5
 
1.3%
- 3
 
0.8%
( 2
 
0.5%
) 2
 
0.5%
2 1
 
0.3%
' 1
 
0.3%
1 1
 
0.3%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
 
11.1%
O 141
 
7.4%
T 137
 
7.2%
L 97
 
5.1%
C 91
 
4.8%
R 83
 
4.3%
. 81
 
4.2%
E 78
 
4.1%
D 75
 
3.9%
U 71
 
3.7%
Other values (51) 845
44.2%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
114 
General travel business
68 
General Travel Agency
 
11
Inbound Travel business
 
5
Inbound Travel Agency
 
4
Other values (8)
 
8

Length

Max length24
Median length4
Mean length12.480952
Min length4

Unique

Unique8 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 114
54.3%
General travel business 68
32.4%
General Travel Agency 11
 
5.2%
Inbound Travel business 5
 
2.4%
Inbound Travel Agency 4
 
1.9%
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
 
1.4%

Length

2024-04-21T03:38:05.138702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 114
28.4%
travel 96
23.9%
general 82
20.4%
business 79
19.7%
agency 15
 
3.7%
inbound 12
 
3.0%
agent 2
 
0.5%
domestic 1
 
0.2%

선박총톤수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:05.503532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:05.830953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

선박척수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:06.191967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:06.520675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:06.880343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:07.125098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

좌석수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:07.469267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:07.804376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:08.165264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:08.481712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)25.2%
Missing87
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean165.16707
Minimum0
Maximum17749
Zeros91
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:38:08.778015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311.555
95-th percentile133.5
Maximum17749
Range17749
Interquartile range (IQR)11.555

Descriptive statistics

Standard deviation1599.3618
Coefficient of variation (CV)9.6832966
Kurtosis122.72115
Mean165.16707
Median Absolute Deviation (MAD)0
Skewness11.071973
Sum20315.55
Variance2557958.1
MonotonicityNot monotonic
2024-04-21T03:38:09.102468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 91
43.3%
20.0 3
 
1.4%
27.25 1
 
0.5%
70.06 1
 
0.5%
135.0 1
 
0.5%
143.36 1
 
0.5%
33.0 1
 
0.5%
50.0 1
 
0.5%
17749.0 1
 
0.5%
23.28 1
 
0.5%
Other values (21) 21
 
10.0%
(Missing) 87
41.4%
ValueCountFrequency (%)
0.0 91
43.3%
6.61 1
 
0.5%
16.5 1
 
0.5%
20.0 3
 
1.4%
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%
39.51 1
 
0.5%
ValueCountFrequency (%)
17749.0 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%
135.0 1
0.5%
120.0 1
0.5%
100.0 1
0.5%
86.4 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
107 
<NA>
103 

Length

Max length4
Median length1
Mean length2.4714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 107
51.0%
<NA> 103
49.0%

Length

2024-04-21T03:38:09.532970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:38:09.865598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
51.0%
na 103
49.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)23.2%
Missing20
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean2.7901992 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros29
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:38:10.214562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11 × 108
median1.0875 × 108
Q32 × 108
95-th percentile5 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.2843631 × 109
Coefficient of variation (CV)4.6031233
Kurtosis175.78371
Mean2.7901992 × 108
Median Absolute Deviation (MAD)91250000
Skewness13.037222
Sum5.3013784 × 1010
Variance1.6495885 × 1018
MonotonicityNot monotonic
2024-04-21T03:38:10.653262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
200000000 51
24.3%
100000000 39
18.6%
0 29
13.8%
50000000 15
 
7.1%
350000000 7
 
3.3%
300000000 7
 
3.3%
500000000 3
 
1.4%
150000000 2
 
1.0%
250000000 2
 
1.0%
201000000 1
 
0.5%
Other values (34) 34
16.2%
(Missing) 20
 
9.5%
ValueCountFrequency (%)
0 29
13.8%
50000000 15
 
7.1%
50763792 1
 
0.5%
57498000 1
 
0.5%
91418784 1
 
0.5%
100000000 39
18.6%
100015658 1
 
0.5%
100203849 1
 
0.5%
100950376 1
 
0.5%
101000000 1
 
0.5%
ValueCountFrequency (%)
17555271330 1
 
0.5%
2000000000 1
 
0.5%
1632780554 1
 
0.5%
1396785920 1
 
0.5%
1100000000 1
 
0.5%
1000000000 1
 
0.5%
900000000 1
 
0.5%
624996480 1
 
0.5%
600612597 1
 
0.5%
500000000 3
1.4%

보험시작일자
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)92.1%
Missing33
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean20198093
Minimum20100517
Maximum20221118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:38:11.079260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150585
Q120190603
median20210209
Q320220117
95-th percentile20220810
Maximum20221118
Range120601
Interquartile range (IQR)29514

Descriptive statistics

Standard deviation25479.861
Coefficient of variation (CV)0.0012614983
Kurtosis2.2720742
Mean20198093
Median Absolute Deviation (MAD)10210
Skewness-1.5740061
Sum3.5750625 × 109
Variance6.4922333 × 108
MonotonicityNot monotonic
2024-04-21T03:38:11.544207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220425 3
 
1.4%
20220328 2
 
1.0%
20220526 2
 
1.0%
20210601 2
 
1.0%
20210413 2
 
1.0%
20220610 2
 
1.0%
20220808 2
 
1.0%
20200309 2
 
1.0%
20210922 2
 
1.0%
20210618 2
 
1.0%
Other values (153) 156
74.3%
(Missing) 33
 
15.7%
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 (%)
20221118 1
0.5%
20221111 1
0.5%
20221103 1
0.5%
20221007 1
0.5%
20220926 1
0.5%
20220902 1
0.5%
20220824 1
0.5%
20220817 1
0.5%
20220816 1
0.5%
20220808 2
1.0%

보험종료일자
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)94.4%
Missing33
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean20208881
Minimum20110517
Maximum20240707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:38:11.962427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160585
Q120200605
median20220318
Q320230321
95-th percentile20230815
Maximum20240707
Range130190
Interquartile range (IQR)29716

Descriptive statistics

Standard deviation25830.95
Coefficient of variation (CV)0.0012781979
Kurtosis2.2093125
Mean20208881
Median Absolute Deviation (MAD)10188
Skewness-1.5600527
Sum3.576972 × 109
Variance6.67238 × 108
MonotonicityNot monotonic
2024-04-21T03:38:12.414022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220617 3
 
1.4%
20230424 3
 
1.4%
20220412 2
 
1.0%
20220922 2
 
1.0%
20221116 2
 
1.0%
20230610 2
 
1.0%
20230808 2
 
1.0%
20220531 2
 
1.0%
20230228 1
 
0.5%
20210404 1
 
0.5%
Other values (157) 157
74.8%
(Missing) 33
 
15.7%
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 (%)
20240707 1
0.5%
20231118 1
0.5%
20231110 1
0.5%
20231102 1
0.5%
20231006 1
0.5%
20230926 1
0.5%
20230901 1
0.5%
20230824 1
0.5%
20230817 1
0.5%
20230815 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)22.8%
Missing87
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean165.17073
Minimum0
Maximum17749
Zeros91
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T03:38:12.795439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312
95-th percentile133.5
Maximum17749
Range17749
Interquartile range (IQR)12

Descriptive statistics

Standard deviation1599.3615
Coefficient of variation (CV)9.6830807
Kurtosis122.72112
Mean165.17073
Median Absolute Deviation (MAD)0
Skewness11.071971
Sum20316
Variance2557957.3
MonotonicityNot monotonic
2024-04-21T03:38:13.189849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 91
43.3%
20 3
 
1.4%
66 2
 
1.0%
70 2
 
1.0%
86 2
 
1.0%
27 1
 
0.5%
7 1
 
0.5%
135 1
 
0.5%
143 1
 
0.5%
33 1
 
0.5%
Other values (18) 18
 
8.6%
(Missing) 87
41.4%
ValueCountFrequency (%)
0 91
43.3%
7 1
 
0.5%
17 1
 
0.5%
20 3
 
1.4%
23 1
 
0.5%
24 1
 
0.5%
27 1
 
0.5%
33 1
 
0.5%
35 1
 
0.5%
40 1
 
0.5%
ValueCountFrequency (%)
17749 1
0.5%
376 1
0.5%
249 1
0.5%
216 1
0.5%
143 1
0.5%
141 1
0.5%
135 1
0.5%
120 1
0.5%
100 1
0.5%
86 2
1.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01종합여행업03_12_03_P3410000CDFI226004202200000320220603<NA>1영업/정상13영업중<NA><NA><NA><NA>053-421-2277<NA><NA>대구광역시 중구 동인동1가 285-2 2층대구광역시 중구 동덕로 187, 2층 (동인동1가)41911(주)여행하는 사람들20220603141715I2022-06-08 00:22:30.0<NA>344797.412341264650.523453종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
12종합여행업03_12_03_P3410000CDFI226004202200000220220519<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4797-1712<NA><NA>대구광역시 중구 북성로1가 6-1 대구스테이션센터, 12층 A07호대구광역시 중구 태평로 160, 대구스테이션센터 12층 A07호 (북성로1가)41910(주)제이케이이노베이션20220519101127I2022-05-21 00:22:47.0<NA>343991.737064265000.0215종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
23종합여행업03_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>343487.118676263259.765332종합여행업<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>
34종합여행업03_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>344268.966085264432.966893종합여행업<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>
45종합여행업03_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>343436.311607264601.46276종합여행업<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>
56종합여행업03_12_03_P3410000CDFI226004201800000520180523201912034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 88-25번지대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 1659호 (동성로2가)41937(주)래디언트코리아20191203133709U2019-12-06 02:40:00.0<NA>343959.823762264529.39356종합여행업<NA><NA><NA><NA><NA>서울보증보험 750-81-01229<NA><NA><NA><NA><NA>Radiant Korea CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002018052320190522<NA><NA>
67종합여행업03_12_03_P3410000CDFI226004201700000720130816<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동1가 83-12 1층대구광역시 중구 국채보상로102길 39, 1층 (계산동1가)41932(주)와이제이 메디컬투어20220629100728U2022-07-01 02:40:00.0<NA>343203.021711264341.249083종합여행업<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>
78종합여행업03_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>
89종합여행업03_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>
910종합여행업03_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
200201종합여행업03_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)20221117150557U2022-11-19 02:40:00.0<NA>338508.039691258645.860959종합여행업<NA><NA>0<NA><NA>한국관광협회중앙회 여행공제회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>2000000002022043020230430<NA>0
201202종합여행업03_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
202203종합여행업03_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
203204종합여행업03_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
204205종합여행업03_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>335052.664454256949.478872종합여행업<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
205206종합여행업03_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>
206207종합여행업03_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>334079.797651256425.592882종합여행업<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>
207208종합여행업03_12_03_P3480000CDFI226004202200000120220405<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7277<NA><NA>대구광역시 달성군 가창면 용계리 565-80대구광역시 달성군 가창면 가창로213길 3642936주식회사 미미20220406142056I2022-04-08 00:22:34.0<NA>346576.997926256713.970171종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0135.0<NA>0<NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA>135
208209종합여행업03_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
209210종합여행업03_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>334873.400609256334.726827종합여행업<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>