Overview

Dataset statistics

Number of variables63
Number of observations206
Missing cells4317
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.6 KiB
Average record size in memory549.6 B

Variable types

Numeric16
Categorical23
Text8
Unsupported15
DateTime1

Dataset

Description22년09월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096783&dataSetDetailId=DDI_0000096798&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (84.0%)Imbalance
영업상태구분코드 is highly imbalanced (53.2%)Imbalance
영업상태명 is highly imbalanced (53.2%)Imbalance
상세영업상태코드 is highly imbalanced (53.2%)Imbalance
상세영업상태명 is highly imbalanced (53.2%)Imbalance
휴업시작일자 is highly imbalanced (95.6%)Imbalance
휴업종료일자 is highly imbalanced (95.6%)Imbalance
지역구분명 is highly imbalanced (77.8%)Imbalance
건물용도명 is highly imbalanced (74.1%)Imbalance
영문상호주소 is highly imbalanced (52.2%)Imbalance
폐업일자 has 177 (85.9%) missing valuesMissing
재개업일자 has 206 (100.0%) missing valuesMissing
소재지전화 has 69 (33.5%) missing valuesMissing
소재지면적 has 206 (100.0%) missing valuesMissing
소재지우편번호 has 172 (83.5%) missing valuesMissing
도로명우편번호 has 3 (1.5%) missing valuesMissing
업태구분명 has 206 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.5%) missing valuesMissing
좌표정보(Y) has 3 (1.5%) missing valuesMissing
문화사업자구분명 has 206 (100.0%) missing valuesMissing
총층수 has 94 (45.6%) missing valuesMissing
주변환경명 has 201 (97.6%) missing valuesMissing
제작취급품목내용 has 206 (100.0%) missing valuesMissing
보험기관명 has 41 (19.9%) missing valuesMissing
지상층수 has 93 (45.1%) missing valuesMissing
영문상호명 has 113 (54.9%) missing valuesMissing
선박제원 has 206 (100.0%) missing valuesMissing
기념품종류 has 206 (100.0%) missing valuesMissing
시설면적 has 88 (42.7%) missing valuesMissing
놀이기구수내역 has 206 (100.0%) missing valuesMissing
방송시설유무 has 206 (100.0%) missing valuesMissing
발전시설유무 has 206 (100.0%) missing valuesMissing
의무실유무 has 206 (100.0%) missing valuesMissing
안내소유무 has 206 (100.0%) missing valuesMissing
기획여행보험시작일자 has 206 (100.0%) missing valuesMissing
기획여행보험종료일자 has 206 (100.0%) missing valuesMissing
자본금 has 20 (9.7%) missing valuesMissing
보험시작일자 has 31 (15.0%) missing valuesMissing
보험종료일자 has 31 (15.0%) missing valuesMissing
부대시설내역 has 206 (100.0%) missing valuesMissing
시설규모 has 88 (42.7%) 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 97 (47.1%) zerosZeros
지상층수 has 96 (46.6%) zerosZeros
시설면적 has 85 (41.3%) zerosZeros
자본금 has 28 (13.6%) zerosZeros
시설규모 has 85 (41.3%) zerosZeros

Reproduction

Analysis started2024-04-18 00:48:13.654258
Analysis finished2024-04-18 00:48:14.399205
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5
Minimum1
Maximum206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:14.475208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.25
Q152.25
median103.5
Q3154.75
95-th percentile195.75
Maximum206
Range205
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation59.611241
Coefficient of variation (CV)0.57595401
Kurtosis-1.2
Mean103.5
Median Absolute Deviation (MAD)51.5
Skewness0
Sum21321
Variance3553.5
MonotonicityStrictly increasing
2024-04-18T09:48:14.609389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
143 1
 
0.5%
133 1
 
0.5%
134 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%
Other values (196) 196
95.1%
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 (%)
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
종합여행업
206 

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 206
100.0%

Length

2024-04-18T09:48:14.729074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:14.811813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 206
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
03_12_03_P
206 

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 206
100.0%

Length

2024-04-18T09:48:14.899416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:14.988888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 206
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436262.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:15.068048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation25203.74
Coefficient of variation (CV)0.0073346383
Kurtosis-1.5831144
Mean3436262.1
Median Absolute Deviation (MAD)15000
Skewness0.26090995
Sum7.0787 × 108
Variance6.3522851 × 108
MonotonicityIncreasing
2024-04-18T09:48:15.169751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 74
35.9%
3460000 32
15.5%
3420000 29
 
14.1%
3470000 28
 
13.6%
3450000 22
 
10.7%
3440000 9
 
4.4%
3480000 9
 
4.4%
3430000 3
 
1.5%
ValueCountFrequency (%)
3410000 74
35.9%
3420000 29
 
14.1%
3430000 3
 
1.5%
3440000 9
 
4.4%
3450000 22
 
10.7%
3460000 32
15.5%
3470000 28
 
13.6%
3480000 9
 
4.4%
ValueCountFrequency (%)
3480000 9
 
4.4%
3470000 28
 
13.6%
3460000 32
15.5%
3450000 22
 
10.7%
3440000 9
 
4.4%
3430000 3
 
1.5%
3420000 29
 
14.1%
3410000 74
35.9%
Distinct97
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-18T09:48:15.372171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4120
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

Unique48 ?
Unique (%)23.3%

Sample

1st rowCDFI2260042022000002
2nd rowCDFI2260042012000002
3rd rowCDFI2260042015000001
4th rowCDFI2260042017000001
5th rowCDFI2260042018000005
ValueCountFrequency (%)
cdfi2260042021000001 7
 
3.4%
cdfi2260042016000001 6
 
2.9%
cdfi2260042017000002 6
 
2.9%
cdfi2260042022000001 6
 
2.9%
cdfi2260042019000001 5
 
2.4%
cdfi2260042021000002 5
 
2.4%
cdfi2260042018000001 5
 
2.4%
cdfi2260042020000002 5
 
2.4%
cdfi2260042020000001 5
 
2.4%
cdfi2260042016000002 5
 
2.4%
Other values (87) 151
73.3%
2024-04-18T09:48:15.674329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1678
40.7%
2 765
18.6%
6 248
 
6.0%
4 231
 
5.6%
1 228
 
5.5%
C 206
 
5.0%
D 206
 
5.0%
F 206
 
5.0%
I 206
 
5.0%
7 33
 
0.8%
Other values (4) 113
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3296
80.0%
Uppercase Letter 824
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1678
50.9%
2 765
23.2%
6 248
 
7.5%
4 231
 
7.0%
1 228
 
6.9%
7 33
 
1.0%
3 32
 
1.0%
5 28
 
0.8%
9 27
 
0.8%
8 26
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 206
25.0%
D 206
25.0%
F 206
25.0%
I 206
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3296
80.0%
Latin 824
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1678
50.9%
2 765
23.2%
6 248
 
7.5%
4 231
 
7.0%
1 228
 
6.9%
7 33
 
1.0%
3 32
 
1.0%
5 28
 
0.8%
9 27
 
0.8%
8 26
 
0.8%
Latin
ValueCountFrequency (%)
C 206
25.0%
D 206
25.0%
F 206
25.0%
I 206
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1678
40.7%
2 765
18.6%
6 248
 
6.0%
4 231
 
5.6%
1 228
 
5.5%
C 206
 
5.0%
D 206
 
5.0%
F 206
 
5.0%
I 206
 
5.0%
7 33
 
0.8%
Other values (4) 113
 
2.7%

인허가일자
Real number (ℝ)

Distinct198
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20162111
Minimum19981030
Maximum20220830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:15.806077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981030
5-th percentile20090568
Q120140349
median20170114
Q320190999
95-th percentile20220514
Maximum20220830
Range239800
Interquartile range (IQR)50650.5

Descriptive statistics

Standard deviation42589.171
Coefficient of variation (CV)0.0021123369
Kurtosis1.411119
Mean20162111
Median Absolute Deviation (MAD)29095
Skewness-0.95037896
Sum4.1533948 × 109
Variance1.8138375 × 109
MonotonicityNot monotonic
2024-04-18T09:48:15.941728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160817 2
 
1.0%
20160802 2
 
1.0%
20170105 2
 
1.0%
20170914 2
 
1.0%
20120110 2
 
1.0%
20211020 2
 
1.0%
20160607 2
 
1.0%
20160309 2
 
1.0%
20150604 1
 
0.5%
20180511 1
 
0.5%
Other values (188) 188
91.3%
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 (%)
20220830 1
0.5%
20220822 1
0.5%
20220812 1
0.5%
20220805 1
0.5%
20220711 1
0.5%
20220630 1
0.5%
20220603 1
0.5%
20220526 1
0.5%
20220525 1
0.5%
20220519 1
0.5%

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
195 
20191203
 
4
20191120
 
3
20190211
 
2
20141111
 
1

Length

Max length8
Median length4
Mean length4.2135922
Min length4

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 195
94.7%
20191203 4
 
1.9%
20191120 3
 
1.5%
20190211 2
 
1.0%
20141111 1
 
0.5%
20120522 1
 
0.5%

Length

2024-04-18T09:48:16.078035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:16.189855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 195
94.7%
20191203 4
 
1.9%
20191120 3
 
1.5%
20190211 2
 
1.0%
20141111 1
 
0.5%
20120522 1
 
0.5%

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
164 
3
29 
4
 
12
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 164
79.6%
3 29
 
14.1%
4 12
 
5.8%
2 1
 
0.5%

Length

2024-04-18T09:48:16.292934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:17.083719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 164
79.6%
3 29
 
14.1%
4 12
 
5.8%
2 1
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
164 
폐업
29 
취소/말소/만료/정지/중지
 
12
휴업
 
1

Length

Max length14
Median length5
Mean length5.0873786
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 164
79.6%
폐업 29
 
14.1%
취소/말소/만료/정지/중지 12
 
5.8%
휴업 1
 
0.5%

Length

2024-04-18T09:48:17.182694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:17.285790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 164
79.6%
폐업 29
 
14.1%
취소/말소/만료/정지/중지 12
 
5.8%
휴업 1
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
164 
3
29 
31
 
12
2
 
1

Length

Max length2
Median length2
Mean length1.8543689
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 164
79.6%
3 29
 
14.1%
31 12
 
5.8%
2 1
 
0.5%

Length

2024-04-18T09:48:17.400508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:17.508482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 164
79.6%
3 29
 
14.1%
31 12
 
5.8%
2 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
164 
폐업
29 
등록취소
 
12
휴업
 
1

Length

Max length4
Median length3
Mean length2.9126214
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 164
79.6%
폐업 29
 
14.1%
등록취소 12
 
5.8%
휴업 1
 
0.5%

Length

2024-04-18T09:48:17.631380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:17.744126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 164
79.6%
폐업 29
 
14.1%
등록취소 12
 
5.8%
휴업 1
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing177
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean20177882
Minimum20110720
Maximum20220901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:17.867742image/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
2024-04-18T09:48:17.992912image/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
 
9.2%
(Missing) 177
85.9%
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 size1.7 KiB
<NA>
205 
20220811
 
1

Length

Max length8
Median length4
Mean length4.0194175
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> 205
99.5%
20220811 1
 
0.5%

Length

2024-04-18T09:48:18.118044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:18.225727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 205
99.5%
20220811 1
 
0.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
205 
20230831
 
1

Length

Max length8
Median length4
Mean length4.0194175
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> 205
99.5%
20230831 1
 
0.5%

Length

2024-04-18T09:48:18.343360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:18.451719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 205
99.5%
20230831 1
 
0.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

소재지전화
Text

MISSING 

Distinct134
Distinct (%)97.8%
Missing69
Missing (%)33.5%
Memory size1.7 KiB
2024-04-18T09:48:18.666132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.613139
Min length8

Characters and Unicode

Total characters1591
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

Unique131 ?
Unique (%)95.6%

Sample

1st row070-4797-1712
2nd row256-1900
3rd row1544-7535
4th row053-254-7475
5th row053-252-5454
ValueCountFrequency (%)
053 5
 
3.4%
053-215-3355 2
 
1.4%
327-2888 2
 
1.4%
053-216-6000 2
 
1.4%
053-742-3535 1
 
0.7%
5055 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 (130) 130
88.4%
2024-04-18T09:48:19.048495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 271
17.0%
5 240
15.1%
- 226
14.2%
3 180
11.3%
2 137
8.6%
7 112
7.0%
4 112
7.0%
1 88
 
5.5%
8 77
 
4.8%
6 75
 
4.7%
Other values (3) 73
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1354
85.1%
Dash Punctuation 226
 
14.2%
Space Separator 10
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 271
20.0%
5 240
17.7%
3 180
13.3%
2 137
10.1%
7 112
8.3%
4 112
8.3%
1 88
 
6.5%
8 77
 
5.7%
6 75
 
5.5%
9 62
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 271
17.0%
5 240
15.1%
- 226
14.2%
3 180
11.3%
2 137
8.6%
7 112
7.0%
4 112
7.0%
1 88
 
5.5%
8 77
 
4.8%
6 75
 
4.7%
Other values (3) 73
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 271
17.0%
5 240
15.1%
- 226
14.2%
3 180
11.3%
2 137
8.6%
7 112
7.0%
4 112
7.0%
1 88
 
5.5%
8 77
 
4.8%
6 75
 
4.7%
Other values (3) 73
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing172
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean702774.88
Minimum700150
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:19.174506image/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
2024-04-18T09:48:19.293076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
700421 4
 
1.9%
700422 3
 
1.5%
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
 
9.2%
(Missing) 172
83.5%
ValueCountFrequency (%)
700150 1
 
0.5%
700180 1
 
0.5%
700310 1
 
0.5%
700411 1
 
0.5%
700421 4
1.9%
700422 3
1.5%
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%
Distinct191
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-18T09:48:19.631027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length23.868932
Min length13

Characters and Unicode

Total characters4917
Distinct characters216
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

Unique180 ?
Unique (%)87.4%

Sample

1st row대구광역시 중구 북성로1가 6-1 대구스테이션센터, 12층 A07호
2nd row대구광역시 중구 남산동 598-26번지
3rd row대구광역시 중구 공평동 16-32번지
4th row대구광역시 중구 서문로1가 69-1번지
5th row대구광역시 중구 동성로2가 88-25번지
ValueCountFrequency (%)
대구광역시 206
 
21.3%
중구 74
 
7.6%
수성구 32
 
3.3%
동구 29
 
3.0%
달서구 28
 
2.9%
북구 22
 
2.3%
신천동 15
 
1.5%
동인동1가 11
 
1.1%
달성군 9
 
0.9%
남구 9
 
0.9%
Other values (367) 533
55.1%
2024-04-18T09:48:20.106566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
946
19.2%
424
 
8.6%
1 267
 
5.4%
246
 
5.0%
242
 
4.9%
213
 
4.3%
210
 
4.3%
208
 
4.2%
- 165
 
3.4%
2 143
 
2.9%
Other values (206) 1853
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2815
57.3%
Decimal Number 964
 
19.6%
Space Separator 946
 
19.2%
Dash Punctuation 165
 
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 (%)
424
15.1%
246
 
8.7%
242
 
8.6%
213
 
7.6%
210
 
7.5%
208
 
7.4%
77
 
2.7%
64
 
2.3%
60
 
2.1%
56
 
2.0%
Other values (181) 1015
36.1%
Decimal Number
ValueCountFrequency (%)
1 267
27.7%
2 143
14.8%
3 94
 
9.8%
0 79
 
8.2%
5 74
 
7.7%
8 70
 
7.3%
7 65
 
6.7%
6 64
 
6.6%
9 64
 
6.6%
4 44
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
13.3%
C 2
13.3%
H 2
13.3%
T 2
13.3%
A 2
13.3%
S 1
6.7%
I 1
6.7%
Y 1
6.7%
B 1
6.7%
L 1
6.7%
Space Separator
ValueCountFrequency (%)
946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
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 2815
57.3%
Common 2087
42.4%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
424
15.1%
246
 
8.7%
242
 
8.6%
213
 
7.6%
210
 
7.5%
208
 
7.4%
77
 
2.7%
64
 
2.3%
60
 
2.1%
56
 
2.0%
Other values (181) 1015
36.1%
Common
ValueCountFrequency (%)
946
45.3%
1 267
 
12.8%
- 165
 
7.9%
2 143
 
6.9%
3 94
 
4.5%
0 79
 
3.8%
5 74
 
3.5%
8 70
 
3.4%
7 65
 
3.1%
6 64
 
3.1%
Other values (5) 120
 
5.7%
Latin
ValueCountFrequency (%)
K 2
13.3%
C 2
13.3%
H 2
13.3%
T 2
13.3%
A 2
13.3%
S 1
6.7%
I 1
6.7%
Y 1
6.7%
B 1
6.7%
L 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2815
57.3%
ASCII 2102
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
946
45.0%
1 267
 
12.7%
- 165
 
7.8%
2 143
 
6.8%
3 94
 
4.5%
0 79
 
3.8%
5 74
 
3.5%
8 70
 
3.3%
7 65
 
3.1%
6 64
 
3.0%
Other values (15) 135
 
6.4%
Hangul
ValueCountFrequency (%)
424
15.1%
246
 
8.7%
242
 
8.6%
213
 
7.6%
210
 
7.5%
208
 
7.4%
77
 
2.7%
64
 
2.3%
60
 
2.1%
56
 
2.0%
Other values (181) 1015
36.1%
Distinct193
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-18T09:48:20.374742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length31.490291
Min length20

Characters and Unicode

Total characters6487
Distinct characters253
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

Unique186 ?
Unique (%)90.3%

Sample

1st row대구광역시 중구 태평로 160, 대구스테이션센터 12층 A07호 (북성로1가)
2nd row대구광역시 중구 2·28길 36, 2층 (남산동)
3rd row대구광역시 중구 동성로3길 91 (공평동, 근린생활시설)
4th row대구광역시 중구 경상감영길 28 (서문로1가)
5th row대구광역시 중구 국채보상로 586, 교보생명빌딩 16층 1659호 (동성로2가)
ValueCountFrequency (%)
대구광역시 206
 
15.9%
중구 74
 
5.7%
2층 33
 
2.5%
수성구 32
 
2.5%
동구 29
 
2.2%
달서구 28
 
2.2%
북구 22
 
1.7%
3층 20
 
1.5%
국채보상로 16
 
1.2%
신천동 15
 
1.2%
Other values (489) 821
63.3%
2024-04-18T09:48:20.776600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1091
 
16.8%
442
 
6.8%
295
 
4.5%
271
 
4.2%
1 249
 
3.8%
217
 
3.3%
213
 
3.3%
210
 
3.2%
209
 
3.2%
) 200
 
3.1%
Other values (243) 3090
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3731
57.5%
Space Separator 1091
 
16.8%
Decimal Number 1042
 
16.1%
Close Punctuation 200
 
3.1%
Open Punctuation 200
 
3.1%
Other Punctuation 171
 
2.6%
Dash Punctuation 38
 
0.6%
Uppercase Letter 13
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
442
 
11.8%
295
 
7.9%
271
 
7.3%
217
 
5.8%
213
 
5.7%
210
 
5.6%
209
 
5.6%
98
 
2.6%
84
 
2.3%
83
 
2.2%
Other values (216) 1609
43.1%
Decimal Number
ValueCountFrequency (%)
1 249
23.9%
2 177
17.0%
5 108
10.4%
3 97
 
9.3%
0 86
 
8.3%
4 76
 
7.3%
6 71
 
6.8%
9 66
 
6.3%
7 59
 
5.7%
8 53
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
15.4%
H 2
15.4%
C 2
15.4%
S 1
7.7%
K 1
7.7%
B 1
7.7%
Y 1
7.7%
T 1
7.7%
I 1
7.7%
L 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 170
99.4%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1091
100.0%
Close Punctuation
ValueCountFrequency (%)
) 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3731
57.5%
Common 2743
42.3%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
442
 
11.8%
295
 
7.9%
271
 
7.3%
217
 
5.8%
213
 
5.7%
210
 
5.6%
209
 
5.6%
98
 
2.6%
84
 
2.3%
83
 
2.2%
Other values (216) 1609
43.1%
Common
ValueCountFrequency (%)
1091
39.8%
1 249
 
9.1%
) 200
 
7.3%
( 200
 
7.3%
2 177
 
6.5%
, 170
 
6.2%
5 108
 
3.9%
3 97
 
3.5%
0 86
 
3.1%
4 76
 
2.8%
Other values (7) 289
 
10.5%
Latin
ValueCountFrequency (%)
A 2
15.4%
H 2
15.4%
C 2
15.4%
S 1
7.7%
K 1
7.7%
B 1
7.7%
Y 1
7.7%
T 1
7.7%
I 1
7.7%
L 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3731
57.5%
ASCII 2755
42.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1091
39.6%
1 249
 
9.0%
) 200
 
7.3%
( 200
 
7.3%
2 177
 
6.4%
, 170
 
6.2%
5 108
 
3.9%
3 97
 
3.5%
0 86
 
3.1%
4 76
 
2.8%
Other values (16) 301
 
10.9%
Hangul
ValueCountFrequency (%)
442
 
11.8%
295
 
7.9%
271
 
7.3%
217
 
5.8%
213
 
5.7%
210
 
5.6%
209
 
5.6%
98
 
2.6%
84
 
2.3%
83
 
2.2%
Other values (216) 1609
43.1%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)68.5%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean67993.552
Minimum41033
Maximum706836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:20.910741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41033
5-th percentile41165.1
Q141887.5
median41940
Q342429
95-th percentile42946.9
Maximum706836
Range665803
Interquartile range (IQR)541.5

Descriptive statistics

Standard deviation128711.09
Coefficient of variation (CV)1.8929897
Kurtosis20.958374
Mean67993.552
Median Absolute Deviation (MAD)347
Skewness4.7698359
Sum13802691
Variance1.6566545 × 1010
MonotonicityNot monotonic
2024-04-18T09:48:21.034918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41911 9
 
4.4%
41910 7
 
3.4%
41940 7
 
3.4%
41938 5
 
2.4%
42672 4
 
1.9%
41913 4
 
1.9%
41921 4
 
1.9%
42612 3
 
1.5%
42038 3
 
1.5%
41959 3
 
1.5%
Other values (129) 154
74.8%
ValueCountFrequency (%)
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%
41164 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 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-18T09:48:21.258813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.7572816
Min length2

Characters and Unicode

Total characters1804
Distinct characters284
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

Unique206 ?
Unique (%)100.0%

Sample

1st row(주)제이케이이노베이션
2nd row(주)케이엠이
3rd row(주)코리아인투어
4th row(주)세븐레이즈투어
5th row(주)래디언트코리아
ValueCountFrequency (%)
주식회사 33
 
12.0%
여행사 4
 
1.4%
투어 2
 
0.7%
주)새천년관광 1
 
0.4%
알앤디 1
 
0.4%
주)수아벨 1
 
0.4%
더블유티앤씨 1
 
0.4%
대성고속관광(주 1
 
0.4%
칠성여행사 1
 
0.4%
진미여행사 1
 
0.4%
Other values (230) 230
83.3%
2024-04-18T09:48:21.635987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
8.9%
( 124
 
6.9%
) 124
 
6.9%
71
 
3.9%
70
 
3.9%
57
 
3.2%
57
 
3.2%
47
 
2.6%
46
 
2.5%
41
 
2.3%
Other values (274) 1006
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1418
78.6%
Open Punctuation 124
 
6.9%
Close Punctuation 124
 
6.9%
Space Separator 70
 
3.9%
Uppercase Letter 54
 
3.0%
Other Punctuation 7
 
0.4%
Lowercase Letter 6
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
161
 
11.4%
71
 
5.0%
57
 
4.0%
57
 
4.0%
47
 
3.3%
46
 
3.2%
41
 
2.9%
37
 
2.6%
36
 
2.5%
34
 
2.4%
Other values (242) 831
58.6%
Uppercase Letter
ValueCountFrequency (%)
C 7
13.0%
T 7
13.0%
N 4
 
7.4%
A 4
 
7.4%
O 4
 
7.4%
R 4
 
7.4%
I 3
 
5.6%
K 3
 
5.6%
U 3
 
5.6%
L 3
 
5.6%
Other values (9) 12
22.2%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
t 1
16.7%
d 1
16.7%
p 1
16.7%
a 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1418
78.6%
Common 326
 
18.1%
Latin 60
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
161
 
11.4%
71
 
5.0%
57
 
4.0%
57
 
4.0%
47
 
3.3%
46
 
3.2%
41
 
2.9%
37
 
2.6%
36
 
2.5%
34
 
2.4%
Other values (242) 831
58.6%
Latin
ValueCountFrequency (%)
C 7
 
11.7%
T 7
 
11.7%
N 4
 
6.7%
A 4
 
6.7%
O 4
 
6.7%
R 4
 
6.7%
I 3
 
5.0%
K 3
 
5.0%
U 3
 
5.0%
L 3
 
5.0%
Other values (15) 18
30.0%
Common
ValueCountFrequency (%)
( 124
38.0%
) 124
38.0%
70
21.5%
. 4
 
1.2%
, 2
 
0.6%
& 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1418
78.6%
ASCII 386
 
21.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
161
 
11.4%
71
 
5.0%
57
 
4.0%
57
 
4.0%
47
 
3.3%
46
 
3.2%
41
 
2.9%
37
 
2.6%
36
 
2.5%
34
 
2.4%
Other values (242) 831
58.6%
ASCII
ValueCountFrequency (%)
( 124
32.1%
) 124
32.1%
70
18.1%
C 7
 
1.8%
T 7
 
1.8%
N 4
 
1.0%
. 4
 
1.0%
A 4
 
1.0%
O 4
 
1.0%
R 4
 
1.0%
Other values (22) 34
 
8.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0206317 × 1013
Minimum2.011072 × 1013
Maximum2.022092 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:21.778872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.011072 × 1013
5-th percentile2.0170517 × 1013
Q12.0200648 × 1013
median2.0210913 × 1013
Q32.0220709 × 1013
95-th percentile2.0220822 × 1013
Maximum2.022092 × 1013
Range1.1019995 × 1011
Interquartile range (IQR)2.0061692 × 1010

Descriptive statistics

Standard deviation2.0634017 × 1010
Coefficient of variation (CV)0.0010211667
Kurtosis5.3305334
Mean2.0206317 × 1013
Median Absolute Deviation (MAD)9.8005073 × 109
Skewness-2.1743341
Sum4.1625013 × 1015
Variance4.2576267 × 1020
MonotonicityNot monotonic
2024-04-18T09:48:21.908510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220519101127 1
 
0.5%
20200324153014 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%
20191127144216 1
 
0.5%
20181224142309 1
 
0.5%
Other values (196) 196
95.1%
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 (%)
20220920134144 1
0.5%
20220916162704 1
0.5%
20220916134547 1
0.5%
20220901155537 1
0.5%
20220830170525 1
0.5%
20220825133329 1
0.5%
20220823162732 1
0.5%
20220823112112 1
0.5%
20220822180155 1
0.5%
20220822132917 1
0.5%
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
U
162 
I
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 162
78.6%
I 44
 
21.4%

Length

2024-04-18T09:48:22.027477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:22.132962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 162
78.6%
i 44
 
21.4%
Distinct125
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-22 02:40:00
2024-04-18T09:48:22.242929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:48:22.374497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)85.2%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean343828.53
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:22.502624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile334894.96
Q1341608.14
median344417.8
Q3346215.7
95-th percentile350710.41
Maximum356698.37
Range27657.577
Interquartile range (IQR)4607.5604

Descriptive statistics

Standard deviation4520.2363
Coefficient of variation (CV)0.013146775
Kurtosis1.3246663
Mean343828.53
Median Absolute Deviation (MAD)1854.1775
Skewness-0.17445624
Sum69797191
Variance20432536
MonotonicityNot monotonic
2024-04-18T09:48:22.623999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 6
 
2.9%
344643.136454 5
 
2.4%
343991.737064 4
 
1.9%
340608.886881 4
 
1.9%
344417.802132 4
 
1.9%
343251.365403 3
 
1.5%
343436.311606 3
 
1.5%
347037.24197 2
 
1.0%
345965.1965 2
 
1.0%
347488.957344 2
 
1.0%
Other values (163) 168
81.6%
(Missing) 3
 
1.5%
ValueCountFrequency (%)
329040.790333 1
0.5%
332426.0567 1
0.5%
332920.178553 1
0.5%
333408.567124 1
0.5%
334079.549213 1
0.5%
334084.759764 1
0.5%
334497.543059 1
0.5%
334621.225167 1
0.5%
334743.462832 1
0.5%
334801.16433 1
0.5%
ValueCountFrequency (%)
356698.367083 1
0.5%
356365.316953 1
0.5%
355939.362329 1
0.5%
355883.113907 1
0.5%
354570.439228 1
0.5%
354462.208404 2
1.0%
354375.109677 1
0.5%
353209.430185 1
0.5%
351259.69746 1
0.5%
350749.968249 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)85.2%
Missing3
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean263854.5
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:22.759295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258668.5
Q1262611.82
median264416.84
Q3264835.14
95-th percentile270483.5
Maximum274249.78
Range35246.979
Interquartile range (IQR)2223.3199

Descriptive statistics

Standard deviation3437.3198
Coefficient of variation (CV)0.013027331
Kurtosis14.019321
Mean263854.5
Median Absolute Deviation (MAD)990.56406
Skewness-1.5441182
Sum53562464
Variance11815168
MonotonicityNot monotonic
2024-04-18T09:48:22.903648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 6
 
2.9%
264628.838876 5
 
2.4%
265000.0215 4
 
1.9%
262318.248215 4
 
1.9%
264430.537922 4
 
1.9%
264520.837975 3
 
1.5%
264601.46276 3
 
1.5%
265407.404337 2
 
1.0%
261891.571512 2
 
1.0%
264624.503838 2
 
1.0%
Other values (163) 168
81.6%
(Missing) 3
 
1.5%
ValueCountFrequency (%)
239002.806117 1
0.5%
255360.475912 1
0.5%
256334.726827 1
0.5%
256424.622904 1
0.5%
256715.567375 1
0.5%
256727.021497 1
0.5%
256876.0 1
0.5%
257551.807221 1
0.5%
257685.501182 1
0.5%
258317.904059 1
0.5%
ValueCountFrequency (%)
274249.784915 1
0.5%
273375.047803 1
0.5%
272735.67566 1
0.5%
272600.063881 1
0.5%
272431.249957 1
0.5%
271563.33218 1
0.5%
271486.362849 1
0.5%
271482.867326 1
0.5%
271184.176036 1
0.5%
270815.680515 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
종합여행업
206 

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 206
100.0%

Length

2024-04-18T09:48:23.033305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:23.117652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 206
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
186 
일반주거지역
 
6
일반상업지역
 
3
근린상업지역
 
3
중심상업지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.1650485
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> 186
90.3%
일반주거지역 6
 
2.9%
일반상업지역 3
 
1.5%
근린상업지역 3
 
1.5%
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

2024-04-18T09:48:23.247052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:23.388107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
90.3%
일반주거지역 6
 
2.9%
일반상업지역 3
 
1.5%
근린상업지역 3
 
1.5%
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 (%)6.2%
Missing94
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean0.48214286
Minimum0
Maximum10
Zeros97
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:23.505801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.45
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5420949
Coefficient of variation (CV)3.198419
Kurtosis20.846194
Mean0.48214286
Median Absolute Deviation (MAD)0
Skewness4.2663536
Sum54
Variance2.3780566
MonotonicityNot monotonic
2024-04-18T09:48:23.606695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 97
47.1%
2 4
 
1.9%
4 4
 
1.9%
3 3
 
1.5%
1 2
 
1.0%
10 1
 
0.5%
9 1
 
0.5%
(Missing) 94
45.6%
ValueCountFrequency (%)
0 97
47.1%
1 2
 
1.0%
2 4
 
1.9%
3 3
 
1.5%
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
 
1.5%
2 4
 
1.9%
1 2
 
1.0%
0 97
47.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing201
Missing (%)97.6%
Memory size1.7 KiB
2024-04-18T09:48:23.718626image/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%
2024-04-18T09:48:23.952308image/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 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

보험기관명
Text

MISSING 

Distinct67
Distinct (%)40.6%
Missing41
Missing (%)19.9%
Memory size1.7 KiB
2024-04-18T09:48:24.171738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.175758
Min length4

Characters and Unicode

Total characters1844
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 78
34.4%
한국관광협회중앙회 19
 
8.4%
관광협회 17
 
7.5%
관광공제회 15
 
6.6%
한국관광협회 13
 
5.7%
서울보증보험주식회사 13
 
5.7%
여행공제회 8
 
3.5%
한국여행업협회 3
 
1.3%
서울보증보험(주 2
 
0.9%
서울보증 2
 
0.9%
Other values (57) 57
25.1%
2024-04-18T09:48:24.535057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
10.6%
114
 
6.2%
0 109
 
5.9%
- 106
 
5.7%
99
 
5.4%
99
 
5.4%
99
 
5.4%
97
 
5.3%
8 84
 
4.6%
1 70
 
3.8%
Other values (30) 771
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1129
61.2%
Decimal Number 539
29.2%
Dash Punctuation 106
 
5.7%
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%
114
10.1%
99
8.8%
99
8.8%
99
8.8%
97
8.6%
70
 
6.2%
69
 
6.1%
57
 
5.0%
35
 
3.1%
Other values (15) 194
17.2%
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 1129
61.2%
Common 715
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
196
17.4%
114
10.1%
99
8.8%
99
8.8%
99
8.8%
97
8.6%
70
 
6.2%
69
 
6.1%
57
 
5.0%
35
 
3.1%
Other values (15) 194
17.2%
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 1129
61.2%
ASCII 715
38.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
196
17.4%
114
10.1%
99
8.8%
99
8.8%
99
8.8%
97
8.6%
70
 
6.2%
69
 
6.1%
57
 
5.0%
35
 
3.1%
Other values (15) 194
17.2%
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 size1.7 KiB
<NA>
186 
사무실
 
9
근린생활시설
 
9
교육연구시설
 
1
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0533981
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> 186
90.3%
사무실 9
 
4.4%
근린생활시설 9
 
4.4%
교육연구시설 1
 
0.5%
문화시설 1
 
0.5%

Length

2024-04-18T09:48:24.681153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:24.788741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
90.3%
사무실 9
 
4.4%
근린생활시설 9
 
4.4%
교육연구시설 1
 
0.5%
문화시설 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)8.0%
Missing93
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean0.56637168
Minimum0
Maximum13
Zeros96
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:24.895566image/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 deviation1.9080474
Coefficient of variation (CV)3.3688961
Kurtosis23.617084
Mean0.56637168
Median Absolute Deviation (MAD)0
Skewness4.6302867
Sum64
Variance3.6406448
MonotonicityNot monotonic
2024-04-18T09:48:24.998487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 96
46.6%
1 5
 
2.4%
3 4
 
1.9%
2 3
 
1.5%
10 1
 
0.5%
9 1
 
0.5%
5 1
 
0.5%
13 1
 
0.5%
4 1
 
0.5%
(Missing) 93
45.1%
ValueCountFrequency (%)
0 96
46.6%
1 5
 
2.4%
2 3
 
1.5%
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
 
1.5%
1 5
 
2.4%
0 96
46.6%

지하층수
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
100 
<NA>
100 
1
 
5
2
 
1

Length

Max length4
Median length1
Mean length2.4563107
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
48.5%
<NA> 100
48.5%
1 5
 
2.4%
2 1
 
0.5%

Length

2024-04-18T09:48:25.114090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:25.226771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
48.5%
na 100
48.5%
1 5
 
2.4%
2 1
 
0.5%

객실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:25.341518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:25.438941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

건축연면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:25.536671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:25.635148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

영문상호명
Text

MISSING 

Distinct93
Distinct (%)100.0%
Missing113
Missing (%)54.9%
Memory size1.7 KiB
2024-04-18T09:48:25.830555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length20.16129
Min length3

Characters and Unicode

Total characters1875
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

Unique93 ?
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 44
 
14.7%
co.,ltd 37
 
12.3%
co 27
 
9.0%
ltd 27
 
9.0%
travel 10
 
3.3%
korea 5
 
1.7%
medi 4
 
1.3%
express 4
 
1.3%
inc 3
 
1.0%
daegu 3
 
1.0%
Other values (129) 136
45.3%
2024-04-18T09:48:26.176911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
11.1%
O 140
 
7.5%
T 134
 
7.1%
L 96
 
5.1%
C 90
 
4.8%
R 82
 
4.4%
. 79
 
4.2%
D 75
 
4.0%
E 75
 
4.0%
U 70
 
3.7%
Other values (51) 826
44.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1141
60.9%
Lowercase Letter 367
 
19.6%
Space Separator 208
 
11.1%
Other Punctuation 148
 
7.9%
Dash Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 50
13.6%
e 35
9.5%
t 34
9.3%
a 33
9.0%
r 31
8.4%
n 25
 
6.8%
d 24
 
6.5%
u 22
 
6.0%
i 21
 
5.7%
c 15
 
4.1%
Other values (15) 77
21.0%
Uppercase Letter
ValueCountFrequency (%)
O 140
12.3%
T 134
11.7%
L 96
 
8.4%
C 90
 
7.9%
R 82
 
7.2%
D 75
 
6.6%
E 75
 
6.6%
U 70
 
6.1%
A 66
 
5.8%
N 54
 
4.7%
Other values (14) 259
22.7%
Other Punctuation
ValueCountFrequency (%)
. 79
53.4%
, 63
42.6%
& 5
 
3.4%
' 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1508
80.4%
Common 367
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 140
 
9.3%
T 134
 
8.9%
L 96
 
6.4%
C 90
 
6.0%
R 82
 
5.4%
D 75
 
5.0%
E 75
 
5.0%
U 70
 
4.6%
A 66
 
4.4%
N 54
 
3.6%
Other values (39) 626
41.5%
Common
ValueCountFrequency (%)
208
56.7%
. 79
 
21.5%
, 63
 
17.2%
& 5
 
1.4%
- 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 1875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
 
11.1%
O 140
 
7.5%
T 134
 
7.1%
L 96
 
5.1%
C 90
 
4.8%
R 82
 
4.4%
. 79
 
4.2%
D 75
 
4.0%
E 75
 
4.0%
U 70
 
3.7%
Other values (51) 826
44.1%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
112 
General travel business
66 
General Travel Agency
 
11
Inbound Travel business
 
5
Inbound Travel Agency
 
4
Other values (8)
 
8

Length

Max length24
Median length4
Mean length12.461165
Min length4

Unique

Unique8 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
54.4%
General travel business 66
32.0%
General Travel Agency 11
 
5.3%
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
 
1.5%

Length

2024-04-18T09:48:26.315855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 112
28.5%
travel 94
23.9%
general 80
20.4%
business 77
19.6%
agency 15
 
3.8%
inbound 12
 
3.1%
agent 2
 
0.5%
domestic 1
 
0.3%

선박총톤수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:26.435440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:26.531148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

선박척수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:26.644259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:26.742386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:26.843848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:26.938099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

좌석수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:27.038453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:27.131596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:27.229563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:27.327158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)27.1%
Missing88
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean177.25042
Minimum0
Maximum17749
Zeros85
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:27.421766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile141.422
Maximum17749
Range17749
Interquartile range (IQR)20

Descriptive statistics

Standard deviation1633.2
Coefficient of variation (CV)9.2140825
Kurtosis117.47794
Mean177.25042
Median Absolute Deviation (MAD)0
Skewness10.827527
Sum20915.55
Variance2667342.3
MonotonicityNot monotonic
2024-04-18T09:48:27.539724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 85
41.3%
20.0 3
 
1.5%
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 (22) 22
 
10.7%
(Missing) 88
42.7%
ValueCountFrequency (%)
0.0 85
41.3%
6.61 1
 
0.5%
16.5 1
 
0.5%
20.0 3
 
1.5%
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%
600.0 1
0.5%
376.0 1
0.5%
248.62 1
0.5%
216.0 1
0.5%
143.36 1
0.5%
141.08 1
0.5%
135.0 1
0.5%
120.0 1
0.5%
100.0 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
0
102 

Length

Max length4
Median length4
Mean length2.5145631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
50.5%
0 102
49.5%

Length

2024-04-18T09:48:27.704991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:48:27.803174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
50.5%
0 102
49.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)23.1%
Missing20
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean2.8367088 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros28
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:27.897540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11 × 108
median1.1043646 × 108
Q32 × 108
95-th percentile5 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.297751 × 109
Coefficient of variation (CV)4.5748474
Kurtosis172.15734
Mean2.8367088 × 108
Median Absolute Deviation (MAD)89563536
Skewness12.903342
Sum5.2762784 × 1010
Variance1.6841576 × 1018
MonotonicityNot monotonic
2024-04-18T09:48:28.021979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
200000000 51
24.8%
100000000 40
19.4%
0 28
13.6%
50000000 13
 
6.3%
350000000 7
 
3.4%
300000000 7
 
3.4%
500000000 3
 
1.5%
250000000 2
 
1.0%
201000000 1
 
0.5%
107500000 1
 
0.5%
Other values (33) 33
16.0%
(Missing) 20
 
9.7%
ValueCountFrequency (%)
0 28
13.6%
50000000 13
 
6.3%
50763792 1
 
0.5%
57498000 1
 
0.5%
91418784 1
 
0.5%
100000000 40
19.4%
100015658 1
 
0.5%
100203849 1
 
0.5%
100950376 1
 
0.5%
101342000 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
1.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)92.6%
Missing31
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean20197599
Minimum20100517
Maximum20220824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:28.157414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150526
Q120190558
median20210125
Q320211117
95-th percentile20220651
Maximum20220824
Range120307
Interquartile range (IQR)20558.5

Descriptive statistics

Standard deviation25339.204
Coefficient of variation (CV)0.0012545651
Kurtosis2.3044058
Mean20197599
Median Absolute Deviation (MAD)10197
Skewness-1.5826501
Sum3.5345799 × 109
Variance6.4207526 × 108
MonotonicityNot monotonic
2024-04-18T09:48:28.295382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220425 3
 
1.5%
20220610 2
 
1.0%
20200309 2
 
1.0%
20210922 2
 
1.0%
20210618 2
 
1.0%
20211116 2
 
1.0%
20210617 2
 
1.0%
20220328 2
 
1.0%
20220808 2
 
1.0%
20210413 2
 
1.0%
Other values (152) 154
74.8%
(Missing) 31
 
15.0%
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 (%)
20220824 1
0.5%
20220817 1
0.5%
20220816 1
0.5%
20220808 2
1.0%
20220726 1
0.5%
20220718 1
0.5%
20220716 1
0.5%
20220706 1
0.5%
20220627 1
0.5%
20220624 1
0.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct165
Distinct (%)94.3%
Missing31
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean20208396
Minimum20110517
Maximum20240707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:28.426740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160526
Q120200604
median20220305
Q320230172
95-th percentile20230709
Maximum20240707
Range130190
Interquartile range (IQR)29568

Descriptive statistics

Standard deviation25711.176
Coefficient of variation (CV)0.0012723017
Kurtosis2.2296897
Mean20208396
Median Absolute Deviation (MAD)10119
Skewness-1.5629921
Sum3.5364693 × 109
Variance6.6106456 × 108
MonotonicityNot monotonic
2024-04-18T09:48:28.570455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220617 3
 
1.5%
20230424 3
 
1.5%
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 (155) 155
75.2%
(Missing) 31
 
15.0%
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%
20230824 1
0.5%
20230817 1
0.5%
20230815 1
0.5%
20230808 2
1.0%
20230726 1
0.5%
20230718 1
0.5%
20230716 1
0.5%
20230706 1
0.5%
20230629 1
0.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing206
Missing (%)100.0%
Memory size1.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)24.6%
Missing88
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean177.25424
Minimum0
Maximum17749
Zeros85
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-18T09:48:28.694402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile141.3
Maximum17749
Range17749
Interquartile range (IQR)20

Descriptive statistics

Standard deviation1633.1998
Coefficient of variation (CV)9.2138827
Kurtosis117.47791
Mean177.25424
Median Absolute Deviation (MAD)0
Skewness10.827526
Sum20916
Variance2667341.4
MonotonicityNot monotonic
2024-04-18T09:48:28.806266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 85
41.3%
20 3
 
1.5%
66 2
 
1.0%
70 2
 
1.0%
86 2
 
1.0%
27 1
 
0.5%
600 1
 
0.5%
135 1
 
0.5%
143 1
 
0.5%
33 1
 
0.5%
Other values (19) 19
 
9.2%
(Missing) 88
42.7%
ValueCountFrequency (%)
0 85
41.3%
7 1
 
0.5%
17 1
 
0.5%
20 3
 
1.5%
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%
600 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%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01종합여행업03_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
12종합여행업03_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>
23종합여행업03_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>344268.966084264432.966893종합여행업<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>
34종합여행업03_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>343436.311606264601.46276종합여행업<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>
45종합여행업03_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>
56종합여행업03_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>
67종합여행업03_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>
78종합여행업03_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>
89종합여행업03_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>
910종합여행업03_12_03_P3410000CDFI226004200900000120090514201205224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>053-255-2779<NA>700719대구광역시 중구 삼덕동2가 210-1번지 진석타워 606호대구광역시 중구 동덕로 115, 606호 (삼덕동2가)700719(주)웰빙투어20120706142721I2018-08-31 23:59:59.0<NA>344686.259338263958.880864종합여행업<NA><NA><NA><NA><NA>관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002010051720110517<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
196197종합여행업03_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)20220418131523U2022-04-20 02:40:00.0<NA>338508.03969258645.860959종합여행업<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
197198종합여행업03_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
198199종합여행업03_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
199200종합여행업03_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
200201종합여행업03_12_03_P3480000CDFI226004201600000120160303<NA>1영업/정상13영업중<NA><NA><NA><NA>0536552000<NA><NA>대구광역시 달성군 화원읍 천내리 918번지 화원이진캐스빌 110동 203호대구광역시 달성군 화원읍 비슬로 2545, 110동 203호 (화원이진캐스빌)42947오성고속관광(주)20180306165637I2018-08-31 23:59:59.0<NA>335089.0256876.0종합여행업<NA>일반상업지역3학교정화(상대)<NA>대구광역시관광협회사무실3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>143.36<NA><NA><NA><NA><NA><NA><NA><NA>3500000002017030720180307<NA>143
201202종합여행업03_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>
202203종합여행업03_12_03_P3480000CDFI226004201800000120130528<NA>1영업/정상13영업중<NA><NA><NA><NA>0535279300<NA><NA>대구광역시 달성군 화원읍 설화리 496-4번지대구광역시 달성군 화원읍 성화로 8942945(주)신세계관광20190620172429U2019-06-22 02:40:00.0<NA>334079.549213256424.622904종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002019060320200602<NA><NA>
203204종합여행업03_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>346575.931478256715.567375종합여행업<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
204205종합여행업03_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
205206종합여행업03_12_03_P3480000CDFI226004201700000220151102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명곡리 220 명곡역미래빌5단지(상가동) 201호대구광역시 달성군 화원읍 명천로 243, 상가동 2층 201호 (명곡역미래빌5단지)42960주식회사 여행트렁크20210626092240U2021-06-29 02:40:00.0<NA>334873.400608256334.726827종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002015111620161115<NA><NA>