Overview

Dataset statistics

Number of variables63
Number of observations229
Missing cells5264
Missing cells (%)36.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory121.1 KiB
Average record size in memory541.6 B

Variable types

Numeric11
Categorical20
Text10
DateTime7
Unsupported15

Dataset

Description23년06월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098698&dataSetDetailId=DDI_0000098768&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (51.5%)Imbalance
영업상태명 is highly imbalanced (51.5%)Imbalance
상세영업상태코드 is highly imbalanced (51.5%)Imbalance
상세영업상태명 is highly imbalanced (51.5%)Imbalance
지역구분명 is highly imbalanced (78.9%)Imbalance
건물용도명 is highly imbalanced (75.2%)Imbalance
영문상호주소 is highly imbalanced (54.5%)Imbalance
인허가취소일자 has 218 (95.2%) missing valuesMissing
폐업일자 has 194 (84.7%) missing valuesMissing
휴업시작일자 has 227 (99.1%) missing valuesMissing
휴업종료일자 has 227 (99.1%) missing valuesMissing
재개업일자 has 229 (100.0%) missing valuesMissing
소재지전화 has 82 (35.8%) missing valuesMissing
소재지면적 has 229 (100.0%) missing valuesMissing
소재지우편번호 has 195 (85.2%) missing valuesMissing
도로명우편번호 has 3 (1.3%) missing valuesMissing
업태구분명 has 229 (100.0%) missing valuesMissing
문화사업자구분명 has 229 (100.0%) missing valuesMissing
총층수 has 60 (26.2%) missing valuesMissing
주변환경명 has 224 (97.8%) missing valuesMissing
제작취급품목내용 has 229 (100.0%) missing valuesMissing
보험기관명 has 39 (17.0%) missing valuesMissing
지상층수 has 60 (26.2%) missing valuesMissing
영문상호명 has 127 (55.5%) missing valuesMissing
선박제원 has 229 (100.0%) missing valuesMissing
기념품종류 has 229 (100.0%) missing valuesMissing
시설면적 has 56 (24.5%) missing valuesMissing
놀이기구수내역 has 229 (100.0%) missing valuesMissing
방송시설유무 has 229 (100.0%) missing valuesMissing
발전시설유무 has 229 (100.0%) missing valuesMissing
의무실유무 has 229 (100.0%) missing valuesMissing
안내소유무 has 229 (100.0%) missing valuesMissing
기획여행보험시작일자 has 229 (100.0%) missing valuesMissing
기획여행보험종료일자 has 229 (100.0%) missing valuesMissing
자본금 has 9 (3.9%) missing valuesMissing
보험시작일자 has 25 (10.9%) missing valuesMissing
보험종료일자 has 25 (10.9%) missing valuesMissing
부대시설내역 has 229 (100.0%) missing valuesMissing
시설규모 has 56 (24.5%) 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 154 (67.2%) zerosZeros
지상층수 has 151 (65.9%) zerosZeros
시설면적 has 136 (59.4%) zerosZeros
자본금 has 49 (21.4%) zerosZeros
시설규모 has 136 (59.4%) zerosZeros

Reproduction

Analysis started2023-12-10 18:59:45.458231
Analysis finished2023-12-10 18:59:46.847297
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T03:59:46.971936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.4
Q158
median115
Q3172
95-th percentile217.6
Maximum229
Range228
Interquartile range (IQR)114

Descriptive statistics

Standard deviation66.250786
Coefficient of variation (CV)0.57609379
Kurtosis-1.2
Mean115
Median Absolute Deviation (MAD)57
Skewness0
Sum26335
Variance4389.1667
MonotonicityStrictly increasing
2023-12-11T03:59:47.180563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
145 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
Other values (219) 219
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
종합여행업
229 

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 229
100.0%

Length

2023-12-11T03:59:47.343395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:47.473022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 229
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
03_12_03_P
229 

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 229
100.0%

Length

2023-12-11T03:59:47.619051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:47.740292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 229
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436855.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T03:59:47.860189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation24774.088
Coefficient of variation (CV)0.0072083582
Kurtosis-1.5971173
Mean3436855.9
Median Absolute Deviation (MAD)30000
Skewness0.19061174
Sum7.8704 × 108
Variance6.1375546 × 108
MonotonicityIncreasing
2023-12-11T03:59:48.008164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 78
34.1%
3460000 36
15.7%
3420000 32
14.0%
3470000 32
14.0%
3450000 29
 
12.7%
3440000 11
 
4.8%
3480000 8
 
3.5%
3430000 3
 
1.3%
ValueCountFrequency (%)
3410000 78
34.1%
3420000 32
14.0%
3430000 3
 
1.3%
3440000 11
 
4.8%
3450000 29
 
12.7%
3460000 36
15.7%
3470000 32
14.0%
3480000 8
 
3.5%
ValueCountFrequency (%)
3480000 8
 
3.5%
3470000 32
14.0%
3460000 36
15.7%
3450000 29
 
12.7%
3440000 11
 
4.8%
3430000 3
 
1.3%
3420000 32
14.0%
3410000 78
34.1%
Distinct103
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T03:59:48.314950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4580
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 (%)20.5%

Sample

1st rowCDFI2260042022000004
2nd rowCDFI2260042022000005
3rd rowCDFI2260042022000006
4th rowCDFI2260042022000003
5th rowCDFI2260042022000002
ValueCountFrequency (%)
cdfi2260042022000001 7
 
3.1%
cdfi2260042016000001 6
 
2.6%
cdfi2260042017000002 6
 
2.6%
cdfi2260042021000001 6
 
2.6%
cdfi2260042016000002 5
 
2.2%
cdfi2260042020000001 5
 
2.2%
cdfi2260042023000002 5
 
2.2%
cdfi2260042023000003 5
 
2.2%
cdfi2260042019000001 5
 
2.2%
cdfi2260042021000002 5
 
2.2%
Other values (93) 174
76.0%
2023-12-11T03:59:48.861528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1858
40.6%
2 870
19.0%
6 273
 
6.0%
4 257
 
5.6%
C 229
 
5.0%
D 229
 
5.0%
F 229
 
5.0%
I 229
 
5.0%
1 228
 
5.0%
3 57
 
1.2%
Other values (4) 121
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3664
80.0%
Uppercase Letter 916
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1858
50.7%
2 870
23.7%
6 273
 
7.5%
4 257
 
7.0%
1 228
 
6.2%
3 57
 
1.6%
7 35
 
1.0%
5 32
 
0.9%
8 28
 
0.8%
9 26
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 229
25.0%
D 229
25.0%
F 229
25.0%
I 229
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3664
80.0%
Latin 916
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1858
50.7%
2 870
23.7%
6 273
 
7.5%
4 257
 
7.0%
1 228
 
6.2%
3 57
 
1.6%
7 35
 
1.0%
5 32
 
0.9%
8 28
 
0.8%
9 26
 
0.7%
Latin
ValueCountFrequency (%)
C 229
25.0%
D 229
25.0%
F 229
25.0%
I 229
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1858
40.6%
2 870
19.0%
6 273
 
6.0%
4 257
 
5.6%
C 229
 
5.0%
D 229
 
5.0%
F 229
 
5.0%
I 229
 
5.0%
1 228
 
5.0%
3 57
 
1.2%
Other values (4) 121
 
2.6%
Distinct217
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1998-10-30 00:00:00
Maximum2023-06-08 00:00:00
2023-12-11T03:59:49.087039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:49.299026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct5
Distinct (%)45.5%
Missing218
Missing (%)95.2%
Memory size1.9 KiB
Minimum2012-05-22 00:00:00
Maximum2019-12-03 00:00:00
2023-12-11T03:59:49.482066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:49.631950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
180 
3
35 
4
 
12
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 180
78.6%
3 35
 
15.3%
4 12
 
5.2%
2 2
 
0.9%

Length

2023-12-11T03:59:49.801943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:49.941307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 180
78.6%
3 35
 
15.3%
4 12
 
5.2%
2 2
 
0.9%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
180 
폐업
35 
취소/말소/만료/정지/중지
 
12
휴업
 
2

Length

Max length14
Median length5
Mean length4.9868996
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 180
78.6%
폐업 35
 
15.3%
취소/말소/만료/정지/중지 12
 
5.2%
휴업 2
 
0.9%

Length

2023-12-11T03:59:50.115031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:50.278532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 180
78.6%
폐업 35
 
15.3%
취소/말소/만료/정지/중지 12
 
5.2%
휴업 2
 
0.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
13
180 
3
35 
31
 
12
2
 
2

Length

Max length2
Median length2
Mean length1.8384279
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 180
78.6%
3 35
 
15.3%
31 12
 
5.2%
2 2
 
0.9%

Length

2023-12-11T03:59:50.470545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:50.657288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 180
78.6%
3 35
 
15.3%
31 12
 
5.2%
2 2
 
0.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업중
180 
폐업
35 
등록취소
 
12
휴업
 
2

Length

Max length4
Median length3
Mean length2.8908297
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 180
78.6%
폐업 35
 
15.3%
등록취소 12
 
5.2%
휴업 2
 
0.9%

Length

2023-12-11T03:59:50.865158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:51.052145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 180
78.6%
폐업 35
 
15.3%
등록취소 12
 
5.2%
휴업 2
 
0.9%

폐업일자
Date

MISSING 

Distinct35
Distinct (%)100.0%
Missing194
Missing (%)84.7%
Memory size1.9 KiB
Minimum2011-07-20 00:00:00
Maximum2023-05-12 00:00:00
2023-12-11T03:59:51.246976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:51.444435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing227
Missing (%)99.1%
Memory size1.9 KiB
Minimum2022-08-11 00:00:00
Maximum2023-04-12 00:00:00
2023-12-11T03:59:51.617014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:51.763365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing227
Missing (%)99.1%
Memory size1.9 KiB
Minimum2023-08-31 00:00:00
Maximum2024-04-30 00:00:00
2023-12-11T03:59:51.929611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:52.085570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

소재지전화
Text

MISSING 

Distinct141
Distinct (%)95.9%
Missing82
Missing (%)35.8%
Memory size1.9 KiB
2023-12-11T03:59:52.479445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.659864
Min length8

Characters and Unicode

Total characters1714
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

Unique135 ?
Unique (%)91.8%

Sample

1st row053-201-0070
2nd row053-254-1433
3rd row070-7708-3145
4th row053-421-2277
5th row070-4797-1712
ValueCountFrequency (%)
053 5
 
3.2%
070-4797-1712 2
 
1.3%
053-216-6000 2
 
1.3%
053-215-3355 2
 
1.3%
327-2888 2
 
1.3%
053-421-2277 2
 
1.3%
053-425-5456 2
 
1.3%
053-474-2300 1
 
0.6%
714 1
 
0.6%
5055 1
 
0.6%
Other values (137) 137
87.3%
2023-12-11T03:59:53.006706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 288
16.8%
5 257
15.0%
- 250
14.6%
3 195
11.4%
2 148
8.6%
7 127
7.4%
4 113
 
6.6%
1 94
 
5.5%
8 85
 
5.0%
6 78
 
4.6%
Other values (3) 79
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1453
84.8%
Dash Punctuation 250
 
14.6%
Space Separator 10
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 288
19.8%
5 257
17.7%
3 195
13.4%
2 148
10.2%
7 127
8.7%
4 113
 
7.8%
1 94
 
6.5%
8 85
 
5.8%
6 78
 
5.4%
9 68
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 250
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 288
16.8%
5 257
15.0%
- 250
14.6%
3 195
11.4%
2 148
8.6%
7 127
7.4%
4 113
 
6.6%
1 94
 
5.5%
8 85
 
5.0%
6 78
 
4.6%
Other values (3) 79
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 288
16.8%
5 257
15.0%
- 250
14.6%
3 195
11.4%
2 148
8.6%
7 127
7.4%
4 113
 
6.6%
1 94
 
5.5%
8 85
 
5.0%
6 78
 
4.6%
Other values (3) 79
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

소재지우편번호
Text

MISSING 

Distinct29
Distinct (%)85.3%
Missing195
Missing (%)85.2%
Memory size1.9 KiB
2023-12-11T03:59:53.340137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters238
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)79.4%

Sample

1st row700-826
2nd row700-422
3rd row700-719
4th row700-411
5th row700-421
ValueCountFrequency (%)
700-421 4
 
11.8%
700-422 3
 
8.8%
705-010 1
 
2.9%
703-800 1
 
2.9%
704-938 1
 
2.9%
704-808 1
 
2.9%
706-722 1
 
2.9%
706-836 1
 
2.9%
706-803 1
 
2.9%
706-801 1
 
2.9%
Other values (19) 19
55.9%
2023-12-11T03:59:53.827258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
26.5%
7 42
17.6%
- 34
14.3%
2 22
 
9.2%
1 22
 
9.2%
8 17
 
7.1%
4 14
 
5.9%
6 8
 
3.4%
3 7
 
2.9%
5 6
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
85.7%
Dash Punctuation 34
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
30.9%
7 42
20.6%
2 22
 
10.8%
1 22
 
10.8%
8 17
 
8.3%
4 14
 
6.9%
6 8
 
3.9%
3 7
 
3.4%
5 6
 
2.9%
9 3
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
26.5%
7 42
17.6%
- 34
14.3%
2 22
 
9.2%
1 22
 
9.2%
8 17
 
7.1%
4 14
 
5.9%
6 8
 
3.4%
3 7
 
2.9%
5 6
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
26.5%
7 42
17.6%
- 34
14.3%
2 22
 
9.2%
1 22
 
9.2%
8 17
 
7.1%
4 14
 
5.9%
6 8
 
3.4%
3 7
 
2.9%
5 6
 
2.5%
Distinct215
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T03:59:54.404212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length24.017467
Min length13

Characters and Unicode

Total characters5500
Distinct characters217
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

Unique204 ?
Unique (%)89.1%

Sample

1st row대구광역시 중구 대봉동 121-163 1층
2nd row대구광역시 중구 북성로1가 6-1 대구스테이션센터, 6층
3rd row대구광역시 중구 동문동 38-9
4th row대구광역시 중구 동인동1가 285-2 2층
5th row대구광역시 중구 북성로1가 6-1 대구스테이션센터, 12층 A07호
ValueCountFrequency (%)
대구광역시 229
 
20.9%
중구 78
 
7.1%
수성구 36
 
3.3%
동구 32
 
2.9%
달서구 32
 
2.9%
북구 29
 
2.7%
신천동 17
 
1.6%
남구 11
 
1.0%
삼덕동2가 10
 
0.9%
동인동1가 10
 
0.9%
Other values (403) 610
55.8%
2023-12-11T03:59:55.246516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1061
19.3%
474
 
8.6%
1 306
 
5.6%
278
 
5.1%
275
 
5.0%
235
 
4.3%
233
 
4.2%
232
 
4.2%
- 181
 
3.3%
2 166
 
3.0%
Other values (207) 2059
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3121
56.7%
Decimal Number 1110
 
20.2%
Space Separator 1061
 
19.3%
Dash Punctuation 181
 
3.3%
Uppercase Letter 16
 
0.3%
Other Punctuation 9
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
474
15.2%
278
 
8.9%
275
 
8.8%
235
 
7.5%
233
 
7.5%
232
 
7.4%
81
 
2.6%
70
 
2.2%
64
 
2.1%
52
 
1.7%
Other values (181) 1127
36.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
12.5%
C 2
12.5%
A 2
12.5%
B 2
12.5%
K 2
12.5%
S 1
6.2%
Y 1
6.2%
I 1
6.2%
H 1
6.2%
L 1
6.2%
Decimal Number
ValueCountFrequency (%)
1 306
27.6%
2 166
15.0%
3 105
 
9.5%
0 98
 
8.8%
5 84
 
7.6%
6 76
 
6.8%
8 75
 
6.8%
7 73
 
6.6%
9 73
 
6.6%
4 54
 
4.9%
Space Separator
ValueCountFrequency (%)
1061
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3121
56.7%
Common 2363
43.0%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
474
15.2%
278
 
8.9%
275
 
8.8%
235
 
7.5%
233
 
7.5%
232
 
7.4%
81
 
2.6%
70
 
2.2%
64
 
2.1%
52
 
1.7%
Other values (181) 1127
36.1%
Common
ValueCountFrequency (%)
1061
44.9%
1 306
 
12.9%
- 181
 
7.7%
2 166
 
7.0%
3 105
 
4.4%
0 98
 
4.1%
5 84
 
3.6%
6 76
 
3.2%
8 75
 
3.2%
7 73
 
3.1%
Other values (5) 138
 
5.8%
Latin
ValueCountFrequency (%)
T 2
12.5%
C 2
12.5%
A 2
12.5%
B 2
12.5%
K 2
12.5%
S 1
6.2%
Y 1
6.2%
I 1
6.2%
H 1
6.2%
L 1
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3121
56.7%
ASCII 2379
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1061
44.6%
1 306
 
12.9%
- 181
 
7.6%
2 166
 
7.0%
3 105
 
4.4%
0 98
 
4.1%
5 84
 
3.5%
6 76
 
3.2%
8 75
 
3.2%
7 73
 
3.1%
Other values (16) 154
 
6.5%
Hangul
ValueCountFrequency (%)
474
15.2%
278
 
8.9%
275
 
8.8%
235
 
7.5%
233
 
7.5%
232
 
7.4%
81
 
2.6%
70
 
2.2%
64
 
2.1%
52
 
1.7%
Other values (181) 1127
36.1%
Distinct215
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T03:59:55.784682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length31.737991
Min length20

Characters and Unicode

Total characters7268
Distinct characters256
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

Unique204 ?
Unique (%)89.1%

Sample

1st row대구광역시 중구 명덕로 321-3, 1층 (대봉동)
2nd row대구광역시 중구 태평로 160, 대구스테이션센터 6층 (북성로1가)
3rd row대구광역시 중구 동성로12길 9 (동문동)
4th row대구광역시 중구 동덕로 187, 2층 (동인동1가)
5th row대구광역시 중구 태평로 160, 대구스테이션센터 12층 A07호 (북성로1가)
ValueCountFrequency (%)
대구광역시 229
 
15.7%
중구 78
 
5.4%
수성구 36
 
2.5%
2층 34
 
2.3%
동구 32
 
2.2%
달서구 32
 
2.2%
북구 29
 
2.0%
3층 24
 
1.6%
신천동 17
 
1.2%
1층 16
 
1.1%
Other values (525) 928
63.8%
2023-12-11T03:59:56.590770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1227
 
16.9%
496
 
6.8%
335
 
4.6%
310
 
4.3%
1 281
 
3.9%
240
 
3.3%
234
 
3.2%
233
 
3.2%
232
 
3.2%
( 224
 
3.1%
Other values (246) 3456
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4155
57.2%
Space Separator 1227
 
16.9%
Decimal Number 1188
 
16.3%
Open Punctuation 224
 
3.1%
Close Punctuation 224
 
3.1%
Other Punctuation 197
 
2.7%
Dash Punctuation 38
 
0.5%
Uppercase Letter 14
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
496
 
11.9%
335
 
8.1%
310
 
7.5%
240
 
5.8%
234
 
5.6%
233
 
5.6%
232
 
5.6%
108
 
2.6%
93
 
2.2%
89
 
2.1%
Other values (218) 1785
43.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
14.3%
C 2
14.3%
B 2
14.3%
K 1
7.1%
S 1
7.1%
D 1
7.1%
H 1
7.1%
L 1
7.1%
Y 1
7.1%
T 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 281
23.7%
2 199
16.8%
3 116
9.8%
0 110
 
9.3%
5 109
 
9.2%
4 92
 
7.7%
6 80
 
6.7%
7 71
 
6.0%
9 70
 
5.9%
8 60
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 196
99.5%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4155
57.2%
Common 3099
42.6%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
496
 
11.9%
335
 
8.1%
310
 
7.5%
240
 
5.8%
234
 
5.6%
233
 
5.6%
232
 
5.6%
108
 
2.6%
93
 
2.2%
89
 
2.1%
Other values (218) 1785
43.0%
Common
ValueCountFrequency (%)
1227
39.6%
1 281
 
9.1%
( 224
 
7.2%
) 224
 
7.2%
2 199
 
6.4%
, 196
 
6.3%
3 116
 
3.7%
0 110
 
3.5%
5 109
 
3.5%
4 92
 
3.0%
Other values (7) 321
 
10.4%
Latin
ValueCountFrequency (%)
A 2
14.3%
C 2
14.3%
B 2
14.3%
K 1
7.1%
S 1
7.1%
D 1
7.1%
H 1
7.1%
L 1
7.1%
Y 1
7.1%
T 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4155
57.2%
ASCII 3112
42.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1227
39.4%
1 281
 
9.0%
( 224
 
7.2%
) 224
 
7.2%
2 199
 
6.4%
, 196
 
6.3%
3 116
 
3.7%
0 110
 
3.5%
5 109
 
3.5%
4 92
 
3.0%
Other values (17) 334
 
10.7%
Hangul
ValueCountFrequency (%)
496
 
11.9%
335
 
8.1%
310
 
7.5%
240
 
5.8%
234
 
5.6%
233
 
5.6%
232
 
5.6%
108
 
2.6%
93
 
2.2%
89
 
2.1%
Other values (218) 1785
43.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Text

MISSING 

Distinct150
Distinct (%)66.4%
Missing3
Missing (%)1.3%
Memory size1.9 KiB
2023-12-11T03:59:57.038482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0707965
Min length5

Characters and Unicode

Total characters1146
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)49.6%

Sample

1st row41953
2nd row41910
3rd row41913
4th row41911
5th row41910
ValueCountFrequency (%)
41910 10
 
4.4%
41940 9
 
4.0%
41911 8
 
3.5%
42612 5
 
2.2%
41913 4
 
1.8%
41921 4
 
1.8%
41931 4
 
1.8%
41422 3
 
1.3%
41953 3
 
1.3%
42038 3
 
1.3%
Other values (140) 173
76.5%
2023-12-11T03:59:57.710813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 285
24.9%
1 240
20.9%
2 156
13.6%
9 108
 
9.4%
0 88
 
7.7%
7 67
 
5.8%
3 64
 
5.6%
5 53
 
4.6%
6 41
 
3.6%
8 36
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1138
99.3%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 285
25.0%
1 240
21.1%
2 156
13.7%
9 108
 
9.5%
0 88
 
7.7%
7 67
 
5.9%
3 64
 
5.6%
5 53
 
4.7%
6 41
 
3.6%
8 36
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1146
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 285
24.9%
1 240
20.9%
2 156
13.6%
9 108
 
9.4%
0 88
 
7.7%
7 67
 
5.8%
3 64
 
5.6%
5 53
 
4.6%
6 41
 
3.6%
8 36
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 285
24.9%
1 240
20.9%
2 156
13.6%
9 108
 
9.4%
0 88
 
7.7%
7 67
 
5.8%
3 64
 
5.6%
5 53
 
4.6%
6 41
 
3.6%
8 36
 
3.1%

사업장명
Text

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T03:59:58.038920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.7467249
Min length2

Characters and Unicode

Total characters2003
Distinct characters307
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

Unique229 ?
Unique (%)100.0%

Sample

1st row골마카투어
2nd row(주)이케이티
3rd row주식회사 로프
4th row(주)여행하는 사람들
5th row(주)제이케이이노베이션
ValueCountFrequency (%)
주식회사 40
 
13.0%
여행사 5
 
1.6%
투어 2
 
0.6%
알앤디 1
 
0.3%
더블유티앤씨 1
 
0.3%
대성고속관광(주 1
 
0.3%
칠성여행사 1
 
0.3%
주)새천년관광 1
 
0.3%
진미여행사 1
 
0.3%
제피러스 1
 
0.3%
Other values (254) 254
82.5%
2023-12-11T03:59:58.531382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
 
8.7%
( 131
 
6.5%
) 131
 
6.5%
80
 
4.0%
79
 
3.9%
65
 
3.2%
65
 
3.2%
56
 
2.8%
53
 
2.6%
44
 
2.2%
Other values (297) 1125
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1577
78.7%
Open Punctuation 131
 
6.5%
Close Punctuation 131
 
6.5%
Space Separator 79
 
3.9%
Uppercase Letter 57
 
2.8%
Lowercase Letter 19
 
0.9%
Other Punctuation 8
 
0.4%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
174
 
11.0%
80
 
5.1%
65
 
4.1%
65
 
4.1%
56
 
3.6%
53
 
3.4%
44
 
2.8%
43
 
2.7%
42
 
2.7%
35
 
2.2%
Other values (258) 920
58.3%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.0%
C 7
12.3%
L 4
 
7.0%
R 4
 
7.0%
A 4
 
7.0%
N 4
 
7.0%
O 4
 
7.0%
K 4
 
7.0%
U 3
 
5.3%
D 3
 
5.3%
Other values (9) 12
21.1%
Lowercase Letter
ValueCountFrequency (%)
a 3
15.8%
r 3
15.8%
e 2
10.5%
o 2
10.5%
k 1
 
5.3%
c 1
 
5.3%
u 1
 
5.3%
v 1
 
5.3%
y 1
 
5.3%
l 1
 
5.3%
Other values (3) 3
15.8%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
, 2
25.0%
& 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1577
78.7%
Common 350
 
17.5%
Latin 76
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
174
 
11.0%
80
 
5.1%
65
 
4.1%
65
 
4.1%
56
 
3.6%
53
 
3.4%
44
 
2.8%
43
 
2.7%
42
 
2.7%
35
 
2.2%
Other values (258) 920
58.3%
Latin
ValueCountFrequency (%)
T 8
 
10.5%
C 7
 
9.2%
L 4
 
5.3%
R 4
 
5.3%
A 4
 
5.3%
N 4
 
5.3%
O 4
 
5.3%
K 4
 
5.3%
U 3
 
3.9%
a 3
 
3.9%
Other values (22) 31
40.8%
Common
ValueCountFrequency (%)
( 131
37.4%
) 131
37.4%
79
22.6%
. 4
 
1.1%
, 2
 
0.6%
& 2
 
0.6%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1577
78.7%
ASCII 426
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
174
 
11.0%
80
 
5.1%
65
 
4.1%
65
 
4.1%
56
 
3.6%
53
 
3.4%
44
 
2.8%
43
 
2.7%
42
 
2.7%
35
 
2.2%
Other values (258) 920
58.3%
ASCII
ValueCountFrequency (%)
( 131
30.8%
) 131
30.8%
79
18.5%
T 8
 
1.9%
C 7
 
1.6%
L 4
 
0.9%
R 4
 
0.9%
A 4
 
0.9%
N 4
 
0.9%
O 4
 
0.9%
Other values (29) 50
 
11.7%

최종수정시점
Date

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2011-07-20 18:11:27
Maximum2023-06-29 18:10:59
2023-12-11T03:59:59.007644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:59.171770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
U
190 
I
39 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 190
83.0%
I 39
 
17.0%

Length

2023-12-11T03:59:59.374953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:59.486460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 190
83.0%
i 39
 
17.0%
Distinct125
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 00:19:10
2023-12-11T03:59:59.617174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:59.796747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct190
Distinct (%)83.3%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean343877.99
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T03:59:59.958309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335349.17
Q1341481.78
median344499.79
Q3346269.91
95-th percentile351081.29
Maximum356698.37
Range27657.577
Interquartile range (IQR)4788.1325

Descriptive statistics

Standard deviation4474.1004
Coefficient of variation (CV)0.01301072
Kurtosis1.1249642
Mean343877.99
Median Absolute Deviation (MAD)2031.6322
Skewness-0.17153634
Sum78404182
Variance20017574
MonotonicityNot monotonic
2023-12-11T04:00:00.102577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 9
 
3.9%
343991.737064305 6
 
2.6%
344643.136453669 5
 
2.2%
340608.886881304 3
 
1.3%
343436.3116066 3
 
1.3%
343251.365402715 3
 
1.3%
343877.448102742 2
 
0.9%
354462.208403527 2
 
0.9%
346922.110875631 2
 
0.9%
345334.006579261 2
 
0.9%
Other values (180) 191
83.4%
ValueCountFrequency (%)
329040.790332643 1
0.4%
332426.05670019 1
0.4%
333408.567124239 1
0.4%
334079.797650885 1
0.4%
334084.759764015 1
0.4%
334124.85387458 1
0.4%
334497.543059166 1
0.4%
334621.225167521 1
0.4%
334801.164329702 1
0.4%
334873.400608564 1
0.4%
ValueCountFrequency (%)
356698.367083593 1
0.4%
356365.316953448 1
0.4%
355939.362329351 1
0.4%
355883.113907339 1
0.4%
354569.662143115 1
0.4%
354462.208403527 2
0.9%
353209.430185261 1
0.4%
352904.676227722 2
0.9%
352460.871814883 1
0.4%
351259.697460395 1
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct190
Distinct (%)83.3%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean263939.71
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:00.270285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile258992.25
Q1262446.79
median264338.03
Q3264940.76
95-th percentile270815.68
Maximum274249.78
Range35246.975
Interquartile range (IQR)2493.9687

Descriptive statistics

Standard deviation3475.8361
Coefficient of variation (CV)0.013169053
Kurtosis12.109934
Mean263939.71
Median Absolute Deviation (MAD)1114.1782
Skewness-1.1831662
Sum60178253
Variance12081437
MonotonicityNot monotonic
2023-12-11T04:00:00.469793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 9
 
3.9%
265000.02150015 6
 
2.6%
264628.83887629 5
 
2.2%
262318.248215466 3
 
1.3%
264601.46276033 3
 
1.3%
264520.837975252 3
 
1.3%
266003.475373434 2
 
0.9%
264334.817636778 2
 
0.9%
265123.315824348 2
 
0.9%
262916.950674389 2
 
0.9%
Other values (180) 191
83.4%
ValueCountFrequency (%)
239002.806117055 1
0.4%
255360.475912095 1
0.4%
256334.726827389 1
0.4%
256425.592881728 1
0.4%
256713.970171425 1
0.4%
256727.02149651 1
0.4%
256949.478871798 1
0.4%
257551.807221017 1
0.4%
257685.50118193 1
0.4%
258317.904059078 1
0.4%
ValueCountFrequency (%)
274249.781358001 1
0.4%
273375.047802874 1
0.4%
273080.521641193 1
0.4%
272735.675659876 1
0.4%
272600.06388059 2
0.9%
272431.249957117 1
0.4%
271563.332179627 1
0.4%
271486.362848943 1
0.4%
271482.867325855 1
0.4%
271184.17603601 1
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
종합여행업
229 

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 229
100.0%

Length

2023-12-11T04:00:00.664019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:00.769775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 229
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
208 
일반주거지역
 
7
일반상업지역
 
3
근린상업지역
 
3
중심상업지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.1572052
Min length4

Unique

Unique4 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 208
90.8%
일반주거지역 7
 
3.1%
일반상업지역 3
 
1.3%
근린상업지역 3
 
1.3%
중심상업지역 2
 
0.9%
주거지역 2
 
0.9%
전용주거지역 1
 
0.4%
상업지역 1
 
0.4%
자연녹지지역 1
 
0.4%
일반공업지역 1
 
0.4%

Length

2023-12-11T04:00:00.904936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:01.080208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
90.8%
일반주거지역 7
 
3.1%
일반상업지역 3
 
1.3%
근린상업지역 3
 
1.3%
중심상업지역 2
 
0.9%
주거지역 2
 
0.9%
전용주거지역 1
 
0.4%
상업지역 1
 
0.4%
자연녹지지역 1
 
0.4%
일반공업지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.1%
Missing60
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean0.31952663
Minimum0
Maximum10
Zeros154
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:01.230926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.6
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2741607
Coefficient of variation (CV)3.9876511
Kurtosis32.947738
Mean0.31952663
Median Absolute Deviation (MAD)0
Skewness5.3377703
Sum54
Variance1.6234855
MonotonicityNot monotonic
2023-12-11T04:00:01.378912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 154
67.2%
2 4
 
1.7%
4 4
 
1.7%
3 3
 
1.3%
1 2
 
0.9%
10 1
 
0.4%
9 1
 
0.4%
(Missing) 60
 
26.2%
ValueCountFrequency (%)
0 154
67.2%
1 2
 
0.9%
2 4
 
1.7%
3 3
 
1.3%
4 4
 
1.7%
9 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
10 1
 
0.4%
9 1
 
0.4%
4 4
 
1.7%
3 3
 
1.3%
2 4
 
1.7%
1 2
 
0.9%
0 154
67.2%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing224
Missing (%)97.8%
Memory size1.9 KiB
2023-12-11T04:00:01.539467image/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 row주택가주변
5th row학교정화(상대)
ValueCountFrequency (%)
주택가주변 3
60.0%
기타 1
 
20.0%
학교정화(상대 1
 
20.0%
2023-12-11T04:00:01.868974image/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 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

보험기관명
Text

MISSING 

Distinct70
Distinct (%)36.8%
Missing39
Missing (%)17.0%
Memory size1.9 KiB
2023-12-11T04:00:02.150776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length10.521053
Min length4

Characters and Unicode

Total characters1999
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

Unique59 ?
Unique (%)31.1%

Sample

1st row서울보증보험
2nd row서울보증보험 03-22-0104
3rd row관광협회 511-88-00094
4th row서울보증보험 750-81-01229
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 97
38.2%
한국관광협회중앙회 19
 
7.5%
관광공제회 17
 
6.7%
관광협회 17
 
6.7%
서울보증보험주식회사 14
 
5.5%
한국관광협회 13
 
5.1%
여행공제회 8
 
3.1%
서울보증 4
 
1.6%
한국여행업협회 3
 
1.2%
주식회사 2
 
0.8%
Other values (59) 60
23.6%
2023-12-11T04:00:02.733737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
11.9%
121
 
6.1%
121
 
6.1%
121
 
6.1%
120
 
6.0%
117
 
5.9%
0 108
 
5.4%
- 106
 
5.3%
8 83
 
4.2%
73
 
3.7%
Other values (30) 791
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1284
64.2%
Decimal Number 537
26.9%
Dash Punctuation 106
 
5.3%
Space Separator 64
 
3.2%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
238
18.5%
121
9.4%
121
9.4%
121
9.4%
120
9.3%
117
9.1%
73
 
5.7%
72
 
5.6%
58
 
4.5%
35
 
2.7%
Other values (15) 208
16.2%
Decimal Number
ValueCountFrequency (%)
0 108
20.1%
8 83
15.5%
1 69
12.8%
5 54
10.1%
2 48
8.9%
4 48
8.9%
9 35
 
6.5%
3 32
 
6.0%
6 31
 
5.8%
7 29
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Space Separator
ValueCountFrequency (%)
64
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 1284
64.2%
Common 715
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
238
18.5%
121
9.4%
121
9.4%
121
9.4%
120
9.3%
117
9.1%
73
 
5.7%
72
 
5.6%
58
 
4.5%
35
 
2.7%
Other values (15) 208
16.2%
Common
ValueCountFrequency (%)
0 108
15.1%
- 106
14.8%
8 83
11.6%
1 69
9.7%
64
9.0%
5 54
7.6%
2 48
6.7%
4 48
6.7%
9 35
 
4.9%
3 32
 
4.5%
Other values (5) 68
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1284
64.2%
ASCII 715
35.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
238
18.5%
121
9.4%
121
9.4%
121
9.4%
120
9.3%
117
9.1%
73
 
5.7%
72
 
5.6%
58
 
4.5%
35
 
2.7%
Other values (15) 208
16.2%
ASCII
ValueCountFrequency (%)
0 108
15.1%
- 106
14.8%
8 83
11.6%
1 69
9.7%
64
9.0%
5 54
7.6%
2 48
6.7%
4 48
6.7%
9 35
 
4.9%
3 32
 
4.5%
Other values (5) 68
9.5%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
208 
사무실
 
10
근린생활시설
 
9
교육연구시설
 
1
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0436681
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 208
90.8%
사무실 10
 
4.4%
근린생활시설 9
 
3.9%
교육연구시설 1
 
0.4%
문화시설 1
 
0.4%

Length

2023-12-11T04:00:02.964880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:03.126638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
90.8%
사무실 10
 
4.4%
근린생활시설 9
 
3.9%
교육연구시설 1
 
0.4%
문화시설 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)5.3%
Missing60
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean0.38461538
Minimum0
Maximum13
Zeros151
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:03.273206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.6
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5811388
Coefficient of variation (CV)4.110961
Kurtosis36.645012
Mean0.38461538
Median Absolute Deviation (MAD)0
Skewness5.7279155
Sum65
Variance2.5
MonotonicityNot monotonic
2023-12-11T04:00:03.454703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 151
65.9%
1 6
 
2.6%
3 4
 
1.7%
2 3
 
1.3%
10 1
 
0.4%
9 1
 
0.4%
5 1
 
0.4%
13 1
 
0.4%
4 1
 
0.4%
(Missing) 60
 
26.2%
ValueCountFrequency (%)
0 151
65.9%
1 6
 
2.6%
2 3
 
1.3%
3 4
 
1.7%
4 1
 
0.4%
5 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
13 1
 
0.4%
ValueCountFrequency (%)
13 1
 
0.4%
10 1
 
0.4%
9 1
 
0.4%
5 1
 
0.4%
4 1
 
0.4%
3 4
 
1.7%
2 3
 
1.3%
1 6
 
2.6%
0 151
65.9%

지하층수
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
156 
<NA>
67 
1
 
5
2
 
1

Length

Max length4
Median length1
Mean length1.8777293
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 156
68.1%
<NA> 67
29.3%
1 5
 
2.2%
2 1
 
0.4%

Length

2023-12-11T04:00:03.654967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:03.837289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 156
68.1%
na 67
29.3%
1 5
 
2.2%
2 1
 
0.4%

객실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:04.006234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.159988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

건축연면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:04.306671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.450376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

영문상호명
Text

MISSING 

Distinct102
Distinct (%)100.0%
Missing127
Missing (%)55.5%
Memory size1.9 KiB
2023-12-11T04:00:04.852182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length19.911765
Min length3

Characters and Unicode

Total characters2031
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

Unique102 ?
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 48
 
14.7%
co.,ltd 37
 
11.3%
ltd 30
 
9.2%
co 30
 
9.2%
travel 11
 
3.4%
korea 5
 
1.5%
daegu 4
 
1.2%
medi 4
 
1.2%
express 4
 
1.2%
air 3
 
0.9%
Other values (142) 151
46.2%
2023-12-11T04:00:05.495544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
11.1%
O 147
 
7.2%
T 143
 
7.0%
L 101
 
5.0%
C 98
 
4.8%
R 86
 
4.2%
. 85
 
4.2%
E 84
 
4.1%
D 77
 
3.8%
U 75
 
3.7%
Other values (51) 909
44.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1231
60.6%
Lowercase Letter 407
 
20.0%
Space Separator 226
 
11.1%
Other Punctuation 156
 
7.7%
Dash Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 58
14.3%
t 40
9.8%
r 38
9.3%
e 37
9.1%
a 36
8.8%
d 27
 
6.6%
n 26
 
6.4%
u 24
 
5.9%
i 23
 
5.7%
c 15
 
3.7%
Other values (15) 83
20.4%
Uppercase Letter
ValueCountFrequency (%)
O 147
11.9%
T 143
11.6%
L 101
 
8.2%
C 98
 
8.0%
R 86
 
7.0%
E 84
 
6.8%
D 77
 
6.3%
U 75
 
6.1%
A 72
 
5.8%
N 58
 
4.7%
Other values (14) 290
23.6%
Other Punctuation
ValueCountFrequency (%)
. 85
54.5%
, 64
41.0%
& 6
 
3.8%
' 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
1 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
226
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 1638
80.6%
Common 393
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 147
 
9.0%
T 143
 
8.7%
L 101
 
6.2%
C 98
 
6.0%
R 86
 
5.3%
E 84
 
5.1%
D 77
 
4.7%
U 75
 
4.6%
A 72
 
4.4%
o 58
 
3.5%
Other values (39) 697
42.6%
Common
ValueCountFrequency (%)
226
57.5%
. 85
 
21.6%
, 64
 
16.3%
& 6
 
1.5%
- 3
 
0.8%
( 2
 
0.5%
) 2
 
0.5%
4 1
 
0.3%
1 1
 
0.3%
' 1
 
0.3%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
 
11.1%
O 147
 
7.2%
T 143
 
7.0%
L 101
 
5.0%
C 98
 
4.8%
R 86
 
4.2%
. 85
 
4.2%
E 84
 
4.1%
D 77
 
3.8%
U 75
 
3.7%
Other values (51) 909
44.8%

영문상호주소
Categorical

IMBALANCE 

Distinct16
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
126 
General travel business
71 
General Travel Agency
 
12
Inbound Travel business
 
5
Inbound Travel Agency
 
4
Other values (11)
 
11

Length

Max length33
Median length4
Mean length12.375546
Min length4

Unique

Unique11 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
55.0%
General travel business 71
31.0%
General Travel Agency 12
 
5.2%
Inbound Travel business 5
 
2.2%
Inbound Travel Agency 4
 
1.7%
Inbound travel business 1
 
0.4%
Domestic travel business 1
 
0.4%
GENERAL TRAVEL BUSINESS 1
 
0.4%
Inbound Travel Agent 1
 
0.4%
General Travel Business 1
 
0.4%
Other values (6) 6
 
2.6%

Length

2023-12-11T04:00:05.699502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 126
28.9%
travel 102
23.4%
general 88
20.2%
business 82
18.8%
agency 17
 
3.9%
inbound 12
 
2.8%
domestic 2
 
0.5%
agent 2
 
0.5%
the 1
 
0.2%
industry 1
 
0.2%
Other values (3) 3
 
0.7%

선박총톤수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:05.863286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:05.984334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

선박척수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:06.120821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:06.263726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:06.411717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:06.549035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

좌석수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:06.685774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:06.794260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:06.960518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:07.103218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)20.2%
Missing56
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean122.44896
Minimum0
Maximum17749
Zeros136
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:07.232898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile117.822
Maximum17749
Range17749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1349.4489
Coefficient of variation (CV)11.020501
Kurtosis172.2001
Mean122.44896
Median Absolute Deviation (MAD)0
Skewness13.108211
Sum21183.67
Variance1821012.4
MonotonicityNot monotonic
2023-12-11T04:00:07.408449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 136
59.4%
20.0 3
 
1.3%
66.11 2
 
0.9%
6.61 1
 
0.4%
600.0 1
 
0.4%
116.37 1
 
0.4%
39.51 1
 
0.4%
86.4 1
 
0.4%
83.0 1
 
0.4%
86.0 1
 
0.4%
Other values (25) 25
 
10.9%
(Missing) 56
24.5%
ValueCountFrequency (%)
0.0 136
59.4%
6.61 1
 
0.4%
16.5 1
 
0.4%
20.0 3
 
1.3%
23.28 1
 
0.4%
24.0 1
 
0.4%
27.25 1
 
0.4%
33.0 1
 
0.4%
34.6 1
 
0.4%
35.11 1
 
0.4%
ValueCountFrequency (%)
17749.0 1
0.4%
600.0 1
0.4%
376.0 1
0.4%
248.62 1
0.4%
216.0 1
0.4%
143.36 1
0.4%
141.08 1
0.4%
135.0 1
0.4%
120.0 1
0.4%
116.37 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
159 
<NA>
70 

Length

Max length4
Median length1
Mean length1.9170306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 159
69.4%
<NA> 70
30.6%

Length

2023-12-11T04:00:07.589325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:07.738704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 159
69.4%
na 70
30.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)21.4%
Missing9
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean2.4289738 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros49
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:07.891433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000000
median1 × 108
Q32 × 108
95-th percentile5 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1.5 × 108

Descriptive statistics

Standard deviation1.1966128 × 109
Coefficient of variation (CV)4.9264128
Kurtosis202.61651
Mean2.4289738 × 108
Median Absolute Deviation (MAD)1 × 108
Skewness13.982274
Sum5.3437425 × 1010
Variance1.4318822 × 1018
MonotonicityNot monotonic
2023-12-11T04:00:08.416943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
200000000 50
21.8%
0 49
21.4%
100000000 40
17.5%
50000000 22
9.6%
350000000 7
 
3.1%
300000000 7
 
3.1%
500000000 3
 
1.3%
150000000 2
 
0.9%
250000000 2
 
0.9%
91418784 1
 
0.4%
Other values (37) 37
16.2%
(Missing) 9
 
3.9%
ValueCountFrequency (%)
0 49
21.4%
50000000 22
9.6%
50001316 1
 
0.4%
50763792 1
 
0.4%
51000000 1
 
0.4%
57498000 1
 
0.4%
72639424 1
 
0.4%
91418784 1
 
0.4%
100000000 40
17.5%
100015656 1
 
0.4%
ValueCountFrequency (%)
17555271330 1
 
0.4%
2000000000 1
 
0.4%
1632780554 1
 
0.4%
1396785920 1
 
0.4%
1100000000 1
 
0.4%
1000000000 1
 
0.4%
900000000 1
 
0.4%
624996480 1
 
0.4%
600612597 1
 
0.4%
500000000 3
1.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct185
Distinct (%)90.7%
Missing25
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean20206253
Minimum20100517
Maximum20230716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:08.605018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150781
Q120200315
median20220414
Q320221009
95-th percentile20230390
Maximum20230716
Range130199
Interquartile range (IQR)20694

Descriptive statistics

Standard deviation27124.698
Coefficient of variation (CV)0.0013423913
Kurtosis2.448923
Mean20206253
Median Absolute Deviation (MAD)9812.5
Skewness-1.6653963
Sum4.1220756 × 109
Variance7.3574926 × 108
MonotonicityNot monotonic
2023-12-11T04:00:08.780994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220610 3
 
1.3%
20230302 3
 
1.3%
20220425 3
 
1.3%
20210601 2
 
0.9%
20230101 2
 
0.9%
20220609 2
 
0.9%
20221116 2
 
0.9%
20200830 2
 
0.9%
20220808 2
 
0.9%
20230301 2
 
0.9%
Other values (175) 181
79.0%
(Missing) 25
 
10.9%
ValueCountFrequency (%)
20100517 1
0.4%
20110101 1
0.4%
20111121 1
0.4%
20120319 1
0.4%
20130515 1
0.4%
20130917 1
0.4%
20131124 1
0.4%
20140726 1
0.4%
20150114 1
0.4%
20150703 1
0.4%
ValueCountFrequency (%)
20230716 1
0.4%
20230609 1
0.4%
20230608 1
0.4%
20230526 1
0.4%
20230517 1
0.4%
20230509 1
0.4%
20230507 1
0.4%
20230504 1
0.4%
20230501 1
0.4%
20230407 1
0.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)88.2%
Missing25
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean20216792
Minimum20110517
Maximum20260308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:08.944063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160781
Q120210314
median20230506
Q320231024
95-th percentile20240506
Maximum20260308
Range149791
Interquartile range (IQR)20709.75

Descriptive statistics

Standard deviation27450.731
Coefficient of variation (CV)0.0013578183
Kurtosis2.3687599
Mean20216792
Median Absolute Deviation (MAD)9798
Skewness-1.6339537
Sum4.1242257 × 109
Variance7.5354263 × 108
MonotonicityNot monotonic
2023-12-11T04:00:09.121254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240301 3
 
1.3%
20220617 3
 
1.3%
20230610 3
 
1.3%
20230424 3
 
1.3%
20240302 3
 
1.3%
20230527 2
 
0.9%
20231116 2
 
0.9%
20230922 2
 
0.9%
20230609 2
 
0.9%
20230822 2
 
0.9%
Other values (170) 179
78.2%
(Missing) 25
 
10.9%
ValueCountFrequency (%)
20110517 1
0.4%
20120101 1
0.4%
20121121 1
0.4%
20130319 1
0.4%
20140515 1
0.4%
20140916 1
0.4%
20141123 1
0.4%
20150725 1
0.4%
20160113 1
0.4%
20160703 1
0.4%
ValueCountFrequency (%)
20260308 1
0.4%
20250228 1
0.4%
20240818 1
0.4%
20240716 1
0.4%
20240707 1
0.4%
20240608 1
0.4%
20240607 1
0.4%
20240526 1
0.4%
20240517 1
0.4%
20240508 1
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing229
Missing (%)100.0%
Memory size2.1 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)17.9%
Missing56
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean122.45087
Minimum0
Maximum17749
Zeros136
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T04:00:09.281611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile117.6
Maximum17749
Range17749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1349.4487
Coefficient of variation (CV)11.020328
Kurtosis172.20014
Mean122.45087
Median Absolute Deviation (MAD)0
Skewness13.108213
Sum21184
Variance1821011.8
MonotonicityNot monotonic
2023-12-11T04:00:09.425935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 136
59.4%
66 3
 
1.3%
20 3
 
1.3%
86 2
 
0.9%
35 2
 
0.9%
70 2
 
0.9%
40 1
 
0.4%
83 1
 
0.4%
120 1
 
0.4%
23 1
 
0.4%
Other values (21) 21
 
9.2%
(Missing) 56
24.5%
ValueCountFrequency (%)
0 136
59.4%
7 1
 
0.4%
17 1
 
0.4%
20 3
 
1.3%
23 1
 
0.4%
24 1
 
0.4%
27 1
 
0.4%
33 1
 
0.4%
35 2
 
0.9%
40 1
 
0.4%
ValueCountFrequency (%)
17749 1
0.4%
600 1
0.4%
376 1
0.4%
249 1
0.4%
216 1
0.4%
143 1
0.4%
141 1
0.4%
135 1
0.4%
120 1
0.4%
116 1
0.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01종합여행업03_12_03_P3410000CDFI22600420220000042022-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA>053-201-0070<NA><NA>대구광역시 중구 대봉동 121-163 1층대구광역시 중구 명덕로 321-3, 1층 (대봉동)41953골마카투어2023-03-03 15:55:01U2023-03-05 02:40:00<NA>344942.362171262879.160659종합여행업<NA><NA>0<NA><NA>서울보증보험<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02022052420230523<NA>0
12종합여행업03_12_03_P3410000CDFI22600420220000052022-08-05<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-1433<NA><NA>대구광역시 중구 북성로1가 6-1 대구스테이션센터, 6층대구광역시 중구 태평로 160, 대구스테이션센터 6층 (북성로1가)41910(주)이케이티2023-03-08 14:45:33U2023-03-10 02:40:00<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>02022032220240321<NA>0
23종합여행업03_12_03_P3410000CDFI22600420220000062022-08-12<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7708-3145<NA><NA>대구광역시 중구 동문동 38-9대구광역시 중구 동성로12길 9 (동문동)41913주식회사 로프2022-08-12 10:06:08I2022-08-14 00:22:28<NA>344093.556562264671.704753종합여행업<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
34종합여행업03_12_03_P3410000CDFI22600420220000032022-06-03<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 사람들2023-03-03 15:32:20U2023-03-05 02:40:00<NA>344797.412341264650.523453종합여행업<NA><NA>0<NA><NA>서울보증보험 03-22-0104<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02022061420230614<NA>0
45종합여행업03_12_03_P3410000CDFI22600420220000022022-05-19<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)제이케이이노베이션2022-05-19 10:11:27I2022-05-21 00:22:47<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
56종합여행업03_12_03_P3410000CDFI22600420120000022012-02-242014-11-114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>256-1900<NA>700-826대구광역시 중구 남산동 598-26번지대구광역시 중구 2·28길 36, 2층 (남산동)700-826(주)케이엠이2014-11-11 17:26:20I2018-08-31 23:59:59<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>
67종합여행업03_12_03_P3410000CDFI22600420150000012015-05-042019-12-034취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>1544-7535<NA><NA>대구광역시 중구 공평동 16-32번지대구광역시 중구 동성로3길 91 (공평동, 근린생활시설)41938(주)코리아인투어2019-12-03 13:52:26U2019-12-06 02:40:00<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>
78종합여행업03_12_03_P3410000CDFI22600420170000012017-01-052019-02-114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 서문로1가 69-1번지대구광역시 중구 경상감영길 28 (서문로1가)41919(주)세븐레이즈투어2019-02-11 09:47:39U2019-02-13 02:40:00<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>
89종합여행업03_12_03_P3410000CDFI22600420180000052018-05-232019-12-034취소/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)래디언트코리아2019-12-03 13:37:09U2019-12-06 02:40:00<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>
910종합여행업03_12_03_P3410000CDFI22600420170000072013-08-16<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 메디컬투어2022-06-29 10:07:28U2022-07-01 02:40:00<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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
219220종합여행업03_12_03_P3470000CDFI22600420200000042013-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 상인동 330 세정드림타운대구광역시 달서구 월배로32길 26, 3층 (상인동, 세정드림타운)42788주식회사 인테여행사2021-05-06 17:58:38U2021-05-08 02:40:00<NA>338360.4434258317.904059종합여행업<NA><NA>4<NA><NA>서울보증보험(주)근린생활시설31<NA><NA>INTE TOUR CO,LTDGeneral Travel business<NA><NA><NA><NA><NA><NA><NA>23.28<NA><NA><NA><NA><NA><NA><NA><NA>2000000002021050520220504<NA>23
220221종합여행업03_12_03_P3470000CDFI22600420190000042018-02-06<NA>3폐업3폐업2020-08-26<NA><NA><NA>053-588-5882<NA><NA>대구광역시 달서구 호산동 381 1층대구광역시 달서구 호산동로35길 11, 1층 (호산동)42708(주)에스티인터내셔널2020-08-27 09:28:00U2020-08-29 02:40:00<NA>334084.759764262155.302809종합여행업<NA><NA>2<NA><NA>서울보증보험<NA>3<NA><NA><NA>SPOTOUR CO.,LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>1000000002019020620200205<NA>20
221222종합여행업03_12_03_P3480000CDFI22600420110000012011-12-20<NA>3폐업3폐업2020-07-25<NA><NA><NA>053-216-6000<NA>711-861대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938(주)투어스파밸리2020-08-04 10:08:50U2020-08-06 02:40:00<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
222223종합여행업03_12_03_P3480000CDFI22600420160000022016-04-20<NA>3폐업3폐업2017-05-16<NA><NA><NA>053-782-1188<NA><NA>대구광역시 달성군 구지면 예현리 757-5번지대구광역시 달성군 구지면 달성2차동1로 19543013(주)한베투어2017-05-16 14:05:03I2018-08-31 23:59:59<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
223224종합여행업03_12_03_P3480000CDFI22600420160000032016-02-18<NA>3폐업3폐업2020-07-02<NA><NA><NA>053-581-0891<NA><NA>대구광역시 달성군 다사읍 매곡리 1539대구광역시 달성군 다사읍 대실역북로1길 6 (죽곡휴먼시아1단지)42914(주)참투어기획2020-07-03 08:53:48U2020-07-05 02:40:00<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
224225종합여행업03_12_03_P3480000CDFI22600420200000012020-09-28<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4333-0430<NA><NA>대구광역시 달성군 화원읍 성산리 526대구광역시 달성군 화원읍 비슬로495길 2742946(주)네바퀴물류2021-10-20 13:18:37U2021-10-22 02:40:00<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
225226종합여행업03_12_03_P3480000CDFI22600420170000022015-11-02<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 여행트렁크2021-06-26 09:22:40U2021-06-29 02:40:00<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>
226227종합여행업03_12_03_P3480000CDFI22600420180000012013-05-28<NA>1영업/정상13영업중<NA><NA><NA><NA>0535279300<NA><NA>대구광역시 달성군 화원읍 설화리 496-4번지대구광역시 달성군 화원읍 성화로 8942945(주)신세계관광2019-06-20 17:24:29U2019-06-22 02:40:00<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>
227228종합여행업03_12_03_P3480000CDFI22600420220000012022-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA>053-765-7277<NA><NA>대구광역시 달성군 가창면 용계리 565-80대구광역시 달성군 가창면 가창로213길 3642936주식회사 미미2022-04-06 14:20:56I2022-04-08 00:22:34<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
228229종합여행업03_12_03_P3480000CDFI22600420160000012016-03-03<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)2018-03-06 16:56:37I2018-08-31 23:59:59<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