Overview

Dataset statistics

Number of variables63
Number of observations234
Missing cells5149
Missing cells (%)34.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.8 KiB
Average record size in memory541.6 B

Variable types

Numeric11
Categorical21
Text10
DateTime6
Unsupported15

Dataset

Description23년09월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100970&dataSetDetailId=DDI_0000100980&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (85.6%)Imbalance
영업상태구분코드 is highly imbalanced (51.7%)Imbalance
영업상태명 is highly imbalanced (51.7%)Imbalance
상세영업상태코드 is highly imbalanced (51.7%)Imbalance
상세영업상태명 is highly imbalanced (51.7%)Imbalance
지역구분명 is highly imbalanced (79.3%)Imbalance
건물용도명 is highly imbalanced (75.6%)Imbalance
영문상호주소 is highly imbalanced (54.1%)Imbalance
폐업일자 has 198 (84.6%) missing valuesMissing
휴업시작일자 has 232 (99.1%) missing valuesMissing
휴업종료일자 has 232 (99.1%) missing valuesMissing
재개업일자 has 234 (100.0%) missing valuesMissing
소재지전화 has 84 (35.9%) missing valuesMissing
소재지면적 has 234 (100.0%) missing valuesMissing
소재지우편번호 has 200 (85.5%) missing valuesMissing
도로명우편번호 has 3 (1.3%) missing valuesMissing
업태구분명 has 234 (100.0%) missing valuesMissing
문화사업자구분명 has 234 (100.0%) missing valuesMissing
총층수 has 59 (25.2%) missing valuesMissing
주변환경명 has 229 (97.9%) missing valuesMissing
제작취급품목내용 has 234 (100.0%) missing valuesMissing
보험기관명 has 42 (17.9%) missing valuesMissing
지상층수 has 59 (25.2%) missing valuesMissing
영문상호명 has 128 (54.7%) missing valuesMissing
선박제원 has 234 (100.0%) missing valuesMissing
기념품종류 has 234 (100.0%) missing valuesMissing
시설면적 has 55 (23.5%) missing valuesMissing
놀이기구수내역 has 234 (100.0%) missing valuesMissing
방송시설유무 has 234 (100.0%) missing valuesMissing
발전시설유무 has 234 (100.0%) missing valuesMissing
의무실유무 has 234 (100.0%) missing valuesMissing
안내소유무 has 234 (100.0%) missing valuesMissing
기획여행보험시작일자 has 234 (100.0%) missing valuesMissing
기획여행보험종료일자 has 234 (100.0%) missing valuesMissing
자본금 has 9 (3.8%) missing valuesMissing
보험시작일자 has 26 (11.1%) missing valuesMissing
보험종료일자 has 26 (11.1%) missing valuesMissing
부대시설내역 has 234 (100.0%) missing valuesMissing
시설규모 has 55 (23.5%) 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 160 (68.4%) zerosZeros
지상층수 has 157 (67.1%) zerosZeros
시설면적 has 141 (60.3%) zerosZeros
자본금 has 49 (20.9%) zerosZeros
시설규모 has 141 (60.3%) zerosZeros

Reproduction

Analysis started2023-10-21 05:39:31.560338
Analysis finished2023-10-21 05:39:36.911220
Duration5.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct234
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.5
Minimum1
Maximum234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:39:37.704245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.65
Q159.25
median117.5
Q3175.75
95-th percentile222.35
Maximum234
Range233
Interquartile range (IQR)116.5

Descriptive statistics

Standard deviation67.694165
Coefficient of variation (CV)0.57612055
Kurtosis-1.2
Mean117.5
Median Absolute Deviation (MAD)58.5
Skewness0
Sum27495
Variance4582.5
MonotonicityStrictly increasing
2023-10-21T05:39:38.781612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
162 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
Other values (224) 224
95.7%
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 (%)
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
종합여행업
234 

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 234
100.0%

Length

2023-10-21T05:39:39.531854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:40.194489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 234
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
03_12_03_P
234 

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 234
100.0%

Length

2023-10-21T05:39:41.072594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:41.676787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 234
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436666.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:39:42.199081image/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 deviation24547.405
Coefficient of variation (CV)0.0071427949
Kurtosis-1.5730912
Mean3436666.7
Median Absolute Deviation (MAD)30000
Skewness0.20095607
Sum8.0418 × 108
Variance6.0257511 × 108
MonotonicityIncreasing
2023-10-21T05:39:42.986269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 79
33.8%
3460000 37
15.8%
3420000 33
14.1%
3470000 31
 
13.2%
3450000 29
 
12.4%
3440000 14
 
6.0%
3480000 8
 
3.4%
3430000 3
 
1.3%
ValueCountFrequency (%)
3410000 79
33.8%
3420000 33
14.1%
3430000 3
 
1.3%
3440000 14
 
6.0%
3450000 29
 
12.4%
3460000 37
15.8%
3470000 31
 
13.2%
3480000 8
 
3.4%
ValueCountFrequency (%)
3480000 8
 
3.4%
3470000 31
 
13.2%
3460000 37
15.8%
3450000 29
 
12.4%
3440000 14
 
6.0%
3430000 3
 
1.3%
3420000 33
14.1%
3410000 79
33.8%

관리번호
Text

Distinct104
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-10-21T05:39:43.779070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4680
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 (%)20.5%

Sample

1st rowCDFI2260042022000007
2nd rowCDFI2260042022000004
3rd rowCDFI2260042022000005
4th rowCDFI2260042022000006
5th rowCDFI2260042022000003
ValueCountFrequency (%)
cdfi2260042022000001 7
 
3.0%
cdfi2260042017000002 6
 
2.6%
cdfi2260042023000002 6
 
2.6%
cdfi2260042023000003 6
 
2.6%
cdfi2260042016000001 6
 
2.6%
cdfi2260042023000004 6
 
2.6%
cdfi2260042021000001 6
 
2.6%
cdfi2260042020000001 5
 
2.1%
cdfi2260042023000001 5
 
2.1%
cdfi2260042016000002 5
 
2.1%
Other values (94) 176
75.2%
2023-10-21T05:39:45.164392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1898
40.6%
2 890
19.0%
6 277
 
5.9%
4 264
 
5.6%
C 234
 
5.0%
D 234
 
5.0%
F 234
 
5.0%
I 234
 
5.0%
1 228
 
4.9%
3 64
 
1.4%
Other values (4) 123
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3744
80.0%
Uppercase Letter 936
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1898
50.7%
2 890
23.8%
6 277
 
7.4%
4 264
 
7.1%
1 228
 
6.1%
3 64
 
1.7%
7 35
 
0.9%
5 33
 
0.9%
8 29
 
0.8%
9 26
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 234
25.0%
D 234
25.0%
F 234
25.0%
I 234
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3744
80.0%
Latin 936
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1898
50.7%
2 890
23.8%
6 277
 
7.4%
4 264
 
7.1%
1 228
 
6.1%
3 64
 
1.7%
7 35
 
0.9%
5 33
 
0.9%
8 29
 
0.8%
9 26
 
0.7%
Latin
ValueCountFrequency (%)
C 234
25.0%
D 234
25.0%
F 234
25.0%
I 234
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1898
40.6%
2 890
19.0%
6 277
 
5.9%
4 264
 
5.6%
C 234
 
5.0%
D 234
 
5.0%
F 234
 
5.0%
I 234
 
5.0%
1 228
 
4.9%
3 64
 
1.4%
Other values (4) 123
 
2.6%

인허가일자
Date

Distinct222
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1998-10-30 00:00:00
Maximum2023-09-05 00:00:00
2023-10-21T05:39:46.050800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:39:46.720026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
223 
2019-12-03
 
4
2019-11-20
 
3
2019-02-11
 
2
2014-11-11
 
1

Length

Max length10
Median length4
Mean length4.2820513
Min length4

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> 223
95.3%
2019-12-03 4
 
1.7%
2019-11-20 3
 
1.3%
2019-02-11 2
 
0.9%
2014-11-11 1
 
0.4%
2012-05-22 1
 
0.4%

Length

2023-10-21T05:39:47.372388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:47.899916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 223
95.3%
2019-12-03 4
 
1.7%
2019-11-20 3
 
1.3%
2019-02-11 2
 
0.9%
2014-11-11 1
 
0.4%
2012-05-22 1
 
0.4%

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
184 
3
36 
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 (%)
1 184
78.6%
3 36
 
15.4%
4 12
 
5.1%
2 2
 
0.9%

Length

2023-10-21T05:39:48.436867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:48.910465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 184
78.6%
3 36
 
15.4%
4 12
 
5.1%
2 2
 
0.9%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업/정상
184 
폐업
36 
취소/말소/만료/정지/중지
 
12
휴업
 
2

Length

Max length14
Median length5
Mean length4.974359
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 184
78.6%
폐업 36
 
15.4%
취소/말소/만료/정지/중지 12
 
5.1%
휴업 2
 
0.9%

Length

2023-10-21T05:39:49.616836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:50.066941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 184
78.6%
폐업 36
 
15.4%
취소/말소/만료/정지/중지 12
 
5.1%
휴업 2
 
0.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
13
184 
3
36 
31
 
12
2
 
2

Length

Max length2
Median length2
Mean length1.8376068
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 184
78.6%
3 36
 
15.4%
31 12
 
5.1%
2 2
 
0.9%

Length

2023-10-21T05:39:50.615482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:50.932687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 184
78.6%
3 36
 
15.4%
31 12
 
5.1%
2 2
 
0.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업중
184 
폐업
36 
등록취소
 
12
휴업
 
2

Length

Max length4
Median length3
Mean length2.8888889
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 184
78.6%
폐업 36
 
15.4%
등록취소 12
 
5.1%
휴업 2
 
0.9%

Length

2023-10-21T05:39:51.440214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:39:51.926749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 184
78.6%
폐업 36
 
15.4%
등록취소 12
 
5.1%
휴업 2
 
0.9%

폐업일자
Date

MISSING 

Distinct36
Distinct (%)100.0%
Missing198
Missing (%)84.6%
Memory size2.0 KiB
Minimum2011-07-20 00:00:00
Maximum2023-05-12 00:00:00
2023-10-21T05:39:52.465267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:39:53.140697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing232
Missing (%)99.1%
Memory size2.0 KiB
Minimum2022-08-11 00:00:00
Maximum2023-04-12 00:00:00
2023-10-21T05:39:53.735960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:39:54.235605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing232
Missing (%)99.1%
Memory size2.0 KiB
Minimum2023-08-31 00:00:00
Maximum2024-04-30 00:00:00
2023-10-21T05:39:54.780712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:39:55.498461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

소재지전화
Text

MISSING 

Distinct144
Distinct (%)96.0%
Missing84
Missing (%)35.9%
Memory size2.0 KiB
2023-10-21T05:39:56.605859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.673333
Min length8

Characters and Unicode

Total characters1751
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

Unique138 ?
Unique (%)92.0%

Sample

1st row053-431-9956
2nd row053-201-0070
3rd row053-254-1433
4th row070-7708-3145
5th row053-421-2277
ValueCountFrequency (%)
053 5
 
3.1%
053-425-5456 2
 
1.2%
053-421-2277 2
 
1.2%
053-215-3355 2
 
1.2%
327-2888 2
 
1.2%
053-216-6000 2
 
1.2%
070-4797-1712 2
 
1.2%
2625 1
 
0.6%
053-474-0088 1
 
0.6%
714 1
 
0.6%
Other values (140) 140
87.5%
2023-10-21T05:39:58.039284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 293
16.7%
5 261
14.9%
- 259
14.8%
3 201
11.5%
2 148
8.5%
7 128
7.3%
4 112
 
6.4%
1 96
 
5.5%
8 89
 
5.1%
6 84
 
4.8%
Other values (3) 80
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1481
84.6%
Dash Punctuation 259
 
14.8%
Space Separator 10
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 293
19.8%
5 261
17.6%
3 201
13.6%
2 148
10.0%
7 128
8.6%
4 112
 
7.6%
1 96
 
6.5%
8 89
 
6.0%
6 84
 
5.7%
9 69
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1751
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 293
16.7%
5 261
14.9%
- 259
14.8%
3 201
11.5%
2 148
8.5%
7 128
7.3%
4 112
 
6.4%
1 96
 
5.5%
8 89
 
5.1%
6 84
 
4.8%
Other values (3) 80
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1751
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 293
16.7%
5 261
14.9%
- 259
14.8%
3 201
11.5%
2 148
8.5%
7 128
7.3%
4 112
 
6.4%
1 96
 
5.5%
8 89
 
5.1%
6 84
 
4.8%
Other values (3) 80
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Text

MISSING 

Distinct29
Distinct (%)85.3%
Missing200
Missing (%)85.5%
Memory size2.0 KiB
2023-10-21T05:39:58.964848image/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%
2023-10-21T05:40:00.584986image/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%

소재지전체주소
Text

Distinct219
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-10-21T05:40:01.528270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length23.92735
Min length13

Characters and Unicode

Total characters5599
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

Unique208 ?
Unique (%)88.9%

Sample

1st row대구광역시 중구 봉산동 167-10 601호
2nd row대구광역시 중구 대봉동 121-163 1층
3rd row대구광역시 중구 북성로1가 6-1 대구스테이션센터, 6층
4th row대구광역시 중구 동문동 38-9
5th row대구광역시 중구 동인동1가 285-2 2층
ValueCountFrequency (%)
대구광역시 234
 
21.0%
중구 79
 
7.1%
수성구 37
 
3.3%
동구 33
 
3.0%
달서구 31
 
2.8%
북구 29
 
2.6%
신천동 17
 
1.5%
남구 14
 
1.3%
삼덕동2가 11
 
1.0%
동인동1가 10
 
0.9%
Other values (407) 620
55.6%
2023-10-21T05:40:03.864098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1082
19.3%
구 484
 
8.6%
1 311
 
5.6%
동 284
 
5.1%
대 283
 
5.1%
시 240
 
4.3%
광 238
 
4.3%
역 237
 
4.2%
- 185
 
3.3%
2 169
 
3.0%
Other values (207) 2086
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3174
56.7%
Decimal Number 1131
 
20.2%
Space Separator 1082
 
19.3%
Dash Punctuation 185
 
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 (%)
구 484
15.2%
동 284
 
8.9%
대 283
 
8.9%
시 240
 
7.6%
광 238
 
7.5%
역 237
 
7.5%
중 82
 
2.6%
성 71
 
2.2%
가 65
 
2.0%
지 52
 
1.6%
Other values (181) 1138
35.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
12.5%
B 2
12.5%
C 2
12.5%
T 2
12.5%
K 2
12.5%
S 1
6.2%
D 1
6.2%
I 1
6.2%
Y 1
6.2%
H 1
6.2%
Decimal Number
ValueCountFrequency (%)
1 311
27.5%
2 169
14.9%
3 105
 
9.3%
0 99
 
8.8%
5 87
 
7.7%
6 81
 
7.2%
8 76
 
6.7%
7 74
 
6.5%
9 73
 
6.5%
4 56
 
5.0%
Space Separator
ValueCountFrequency (%)
1082
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
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 3174
56.7%
Common 2409
43.0%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 484
15.2%
동 284
 
8.9%
대 283
 
8.9%
시 240
 
7.6%
광 238
 
7.5%
역 237
 
7.5%
중 82
 
2.6%
성 71
 
2.2%
가 65
 
2.0%
지 52
 
1.6%
Other values (181) 1138
35.9%
Common
ValueCountFrequency (%)
1082
44.9%
1 311
 
12.9%
- 185
 
7.7%
2 169
 
7.0%
3 105
 
4.4%
0 99
 
4.1%
5 87
 
3.6%
6 81
 
3.4%
8 76
 
3.2%
7 74
 
3.1%
Other values (5) 140
 
5.8%
Latin
ValueCountFrequency (%)
A 2
12.5%
B 2
12.5%
C 2
12.5%
T 2
12.5%
K 2
12.5%
S 1
6.2%
D 1
6.2%
I 1
6.2%
Y 1
6.2%
H 1
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3174
56.7%
ASCII 2425
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1082
44.6%
1 311
 
12.8%
- 185
 
7.6%
2 169
 
7.0%
3 105
 
4.3%
0 99
 
4.1%
5 87
 
3.6%
6 81
 
3.3%
8 76
 
3.1%
7 74
 
3.1%
Other values (16) 156
 
6.4%
Hangul
ValueCountFrequency (%)
구 484
15.2%
동 284
 
8.9%
대 283
 
8.9%
시 240
 
7.6%
광 238
 
7.5%
역 237
 
7.5%
중 82
 
2.6%
성 71
 
2.2%
가 65
 
2.0%
지 52
 
1.6%
Other values (181) 1138
35.9%

도로명전체주소
Text

Distinct220
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-10-21T05:40:05.443032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length31.722222
Min length20

Characters and Unicode

Total characters7423
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

Unique209 ?
Unique (%)89.3%

Sample

1st row대구광역시 중구 봉산문화1길 13-1, 601호 (봉산동)
2nd row대구광역시 중구 명덕로 321-3, 1층 (대봉동)
3rd row대구광역시 중구 태평로 160, 대구스테이션센터 6층 (북성로1가)
4th row대구광역시 중구 동성로12길 9 (동문동)
5th row대구광역시 중구 동덕로 187, 2층 (동인동1가)
ValueCountFrequency (%)
대구광역시 234
 
15.7%
중구 79
 
5.3%
수성구 37
 
2.5%
2층 37
 
2.5%
동구 33
 
2.2%
달서구 31
 
2.1%
북구 29
 
1.9%
3층 25
 
1.7%
신천동 17
 
1.1%
1층 16
 
1.1%
Other values (534) 950
63.8%
2023-10-21T05:40:07.946378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1255
 
16.9%
구 506
 
6.8%
동 342
 
4.6%
대 319
 
4.3%
1 286
 
3.9%
시 246
 
3.3%
광 239
 
3.2%
역 238
 
3.2%
로 236
 
3.2%
) 229
 
3.1%
Other values (246) 3527
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4237
57.1%
Space Separator 1255
 
16.9%
Decimal Number 1215
 
16.4%
Close Punctuation 229
 
3.1%
Open Punctuation 229
 
3.1%
Other Punctuation 202
 
2.7%
Dash Punctuation 41
 
0.6%
Uppercase Letter 14
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 506
 
11.9%
동 342
 
8.1%
대 319
 
7.5%
시 246
 
5.8%
광 239
 
5.6%
역 238
 
5.6%
로 236
 
5.6%
층 113
 
2.7%
성 94
 
2.2%
길 92
 
2.2%
Other values (218) 1812
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
14.3%
A 2
14.3%
C 2
14.3%
K 1
7.1%
S 1
7.1%
D 1
7.1%
Y 1
7.1%
T 1
7.1%
I 1
7.1%
L 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 286
23.5%
2 205
16.9%
3 121
10.0%
0 113
 
9.3%
5 111
 
9.1%
4 90
 
7.4%
6 82
 
6.7%
7 74
 
6.1%
9 72
 
5.9%
8 61
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 201
99.5%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 229
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4237
57.1%
Common 3172
42.7%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 506
 
11.9%
동 342
 
8.1%
대 319
 
7.5%
시 246
 
5.8%
광 239
 
5.6%
역 238
 
5.6%
로 236
 
5.6%
층 113
 
2.7%
성 94
 
2.2%
길 92
 
2.2%
Other values (218) 1812
42.8%
Common
ValueCountFrequency (%)
1255
39.6%
1 286
 
9.0%
) 229
 
7.2%
( 229
 
7.2%
2 205
 
6.5%
, 201
 
6.3%
3 121
 
3.8%
0 113
 
3.6%
5 111
 
3.5%
4 90
 
2.8%
Other values (7) 332
 
10.5%
Latin
ValueCountFrequency (%)
B 2
14.3%
A 2
14.3%
C 2
14.3%
K 1
7.1%
S 1
7.1%
D 1
7.1%
Y 1
7.1%
T 1
7.1%
I 1
7.1%
L 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4237
57.1%
ASCII 3185
42.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1255
39.4%
1 286
 
9.0%
) 229
 
7.2%
( 229
 
7.2%
2 205
 
6.4%
, 201
 
6.3%
3 121
 
3.8%
0 113
 
3.5%
5 111
 
3.5%
4 90
 
2.8%
Other values (17) 345
 
10.8%
Hangul
ValueCountFrequency (%)
구 506
 
11.9%
동 342
 
8.1%
대 319
 
7.5%
시 246
 
5.8%
광 239
 
5.6%
역 238
 
5.6%
로 236
 
5.6%
층 113
 
2.7%
성 94
 
2.2%
길 92
 
2.2%
Other values (218) 1812
42.8%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Text

MISSING 

Distinct154
Distinct (%)66.7%
Missing3
Missing (%)1.3%
Memory size2.0 KiB
2023-10-21T05:40:09.054507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0692641
Min length5

Characters and Unicode

Total characters1171
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

Unique116 ?
Unique (%)50.2%

Sample

1st row41959
2nd row41953
3rd row41910
4th row41913
5th row41911
ValueCountFrequency (%)
41910 10
 
4.3%
41940 10
 
4.3%
41911 8
 
3.5%
42612 5
 
2.2%
41921 4
 
1.7%
41913 4
 
1.7%
41931 4
 
1.7%
41422 3
 
1.3%
41243 3
 
1.3%
42251 3
 
1.3%
Other values (144) 177
76.6%
2023-10-21T05:40:11.568664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 294
25.1%
1 243
20.8%
2 161
13.7%
9 110
 
9.4%
0 92
 
7.9%
7 67
 
5.7%
3 63
 
5.4%
5 55
 
4.7%
6 41
 
3.5%
8 37
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1163
99.3%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 294
25.3%
1 243
20.9%
2 161
13.8%
9 110
 
9.5%
0 92
 
7.9%
7 67
 
5.8%
3 63
 
5.4%
5 55
 
4.7%
6 41
 
3.5%
8 37
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 294
25.1%
1 243
20.8%
2 161
13.7%
9 110
 
9.4%
0 92
 
7.9%
7 67
 
5.7%
3 63
 
5.4%
5 55
 
4.7%
6 41
 
3.5%
8 37
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 294
25.1%
1 243
20.8%
2 161
13.7%
9 110
 
9.4%
0 92
 
7.9%
7 67
 
5.7%
3 63
 
5.4%
5 55
 
4.7%
6 41
 
3.5%
8 37
 
3.2%

사업장명
Text

UNIQUE 

Distinct234
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-10-21T05:40:13.296499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length8.6752137
Min length2

Characters and Unicode

Total characters2030
Distinct characters308
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

Unique234 ?
Unique (%)100.0%

Sample

1st row대동성 여행사
2nd row골마카투어
3rd row(주)이케이티
4th row주식회사 로프
5th row(주)여행하는 사람들
ValueCountFrequency (%)
주식회사 42
 
13.4%
여행사 5
 
1.6%
투어 2
 
0.6%
대동성 1
 
0.3%
주)문화투어 1
 
0.3%
주)그랜드관광 1
 
0.3%
투어(mcctour.co.,ltd 1
 
0.3%
엠씨씨 1
 
0.3%
주)대진고속관광 1
 
0.3%
에이치투어 1
 
0.3%
Other values (257) 257
82.1%
2023-10-21T05:40:15.323054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 177
 
8.7%
) 132
 
6.5%
( 132
 
6.5%
사 83
 
4.1%
79
 
3.9%
어 68
 
3.3%
투 67
 
3.3%
행 57
 
2.8%
여 54
 
2.7%
회 46
 
2.3%
Other values (298) 1135
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1602
78.9%
Close Punctuation 132
 
6.5%
Open Punctuation 132
 
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 (%)
주 177
 
11.0%
사 83
 
5.2%
어 68
 
4.2%
투 67
 
4.2%
행 57
 
3.6%
여 54
 
3.4%
회 46
 
2.9%
식 45
 
2.8%
이 42
 
2.6%
광 35
 
2.2%
Other values (259) 928
57.9%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.0%
C 7
12.3%
R 4
 
7.0%
A 4
 
7.0%
N 4
 
7.0%
K 4
 
7.0%
L 4
 
7.0%
O 4
 
7.0%
I 3
 
5.3%
U 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%
y 1
 
5.3%
u 1
 
5.3%
k 1
 
5.3%
c 1
 
5.3%
v 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%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1602
78.9%
Common 352
 
17.3%
Latin 76
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 177
 
11.0%
사 83
 
5.2%
어 68
 
4.2%
투 67
 
4.2%
행 57
 
3.6%
여 54
 
3.4%
회 46
 
2.9%
식 45
 
2.8%
이 42
 
2.6%
광 35
 
2.2%
Other values (259) 928
57.9%
Latin
ValueCountFrequency (%)
T 8
 
10.5%
C 7
 
9.2%
R 4
 
5.3%
A 4
 
5.3%
N 4
 
5.3%
K 4
 
5.3%
L 4
 
5.3%
O 4
 
5.3%
I 3
 
3.9%
a 3
 
3.9%
Other values (22) 31
40.8%
Common
ValueCountFrequency (%)
) 132
37.5%
( 132
37.5%
79
22.4%
. 4
 
1.1%
& 2
 
0.6%
, 2
 
0.6%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1602
78.9%
ASCII 428
 
21.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 177
 
11.0%
사 83
 
5.2%
어 68
 
4.2%
투 67
 
4.2%
행 57
 
3.6%
여 54
 
3.4%
회 46
 
2.9%
식 45
 
2.8%
이 42
 
2.6%
광 35
 
2.2%
Other values (259) 928
57.9%
ASCII
ValueCountFrequency (%)
) 132
30.8%
( 132
30.8%
79
18.5%
T 8
 
1.9%
C 7
 
1.6%
R 4
 
0.9%
A 4
 
0.9%
N 4
 
0.9%
K 4
 
0.9%
. 4
 
0.9%
Other values (29) 50
 
11.7%

최종수정시점
Date

UNIQUE 

Distinct234
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2011-07-20 18:11:27
Maximum2023-09-25 10:54:38
2023-10-21T05:40:16.222578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:40:17.089491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
U
195 
I
39 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 195
83.3%
I 39
 
16.7%

Length

2023-10-21T05:40:18.035353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:18.451862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 195
83.3%
i 39
 
16.7%

데이터갱신일자
Date

Distinct133
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-27 02:40:00
2023-10-21T05:40:19.295081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:40:20.091784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct194
Distinct (%)83.3%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean343908.12
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:21.521726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335463.24
Q1341713.07
median344513.06
Q3346271.98
95-th percentile350953.86
Maximum356698.37
Range27657.577
Interquartile range (IQR)4558.9051

Descriptive statistics

Standard deviation4438.0038
Coefficient of variation (CV)0.012904621
Kurtosis1.1763928
Mean343908.12
Median Absolute Deviation (MAD)2053.5253
Skewness-0.18612505
Sum80130592
Variance19695878
MonotonicityNot monotonic
2023-10-21T05:40:22.387060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 10
 
4.3%
343991.737064305 6
 
2.6%
344643.136453669 5
 
2.1%
343436.3116066 3
 
1.3%
340608.886881304 3
 
1.3%
343251.365402715 3
 
1.3%
347037.241970286 2
 
0.9%
345334.006579261 2
 
0.9%
345965.196500359 2
 
0.9%
344178.718073067 2
 
0.9%
Other values (184) 195
83.3%
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)

Distinct194
Distinct (%)83.3%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean263929.27
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:23.049756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile259092.35
Q1262434.35
median264334.82
Q3264940.51
95-th percentile270921.59
Maximum274249.78
Range35246.975
Interquartile range (IQR)2506.1682

Descriptive statistics

Standard deviation3490.562
Coefficient of variation (CV)0.013225369
Kurtosis11.605539
Mean263929.27
Median Absolute Deviation (MAD)1154.4886
Skewness-1.1091511
Sum61495519
Variance12184023
MonotonicityNot monotonic
2023-10-21T05:40:23.862966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 10
 
4.3%
265000.02150015 6
 
2.6%
264628.83887629 5
 
2.1%
264601.46276033 3
 
1.3%
262318.248215466 3
 
1.3%
264520.837975252 3
 
1.3%
265407.404336831 2
 
0.9%
262916.950674389 2
 
0.9%
261891.571511798 2
 
0.9%
264969.376778231 2
 
0.9%
Other values (184) 195
83.3%
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 size2.0 KiB
종합여행업
234 

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 234
100.0%

Length

2023-10-21T05:40:24.539079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:25.268638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 234
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
213 
일반주거지역
 
7
일반상업지역
 
3
근린상업지역
 
3
중심상업지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.1538462
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> 213
91.0%
일반주거지역 7
 
3.0%
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

2023-10-21T05:40:25.922942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:26.877050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 213
91.0%
일반주거지역 7
 
3.0%
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 (%)4.0%
Missing59
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean0.30857143
Minimum0
Maximum10
Zeros160
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:27.743932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.3
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2533567
Coefficient of variation (CV)4.0618043
Kurtosis34.222735
Mean0.30857143
Median Absolute Deviation (MAD)0
Skewness5.4383511
Sum54
Variance1.5709031
MonotonicityNot monotonic
2023-10-21T05:40:28.284357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 160
68.4%
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) 59
 
25.2%
ValueCountFrequency (%)
0 160
68.4%
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%
0 160
68.4%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing229
Missing (%)97.9%
Memory size2.0 KiB
2023-10-21T05:40:28.672427image/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%
2023-10-21T05:40:29.949464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6
24.0%
택 3
12.0%
가 3
12.0%
변 3
12.0%
기 1
 
4.0%
타 1
 
4.0%
학 1
 
4.0%
교 1
 
4.0%
정 1
 
4.0%
화 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 (%)
주 6
26.1%
택 3
13.0%
가 3
13.0%
변 3
13.0%
기 1
 
4.3%
타 1
 
4.3%
학 1
 
4.3%
교 1
 
4.3%
정 1
 
4.3%
화 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 (%)
주 6
26.1%
택 3
13.0%
가 3
13.0%
변 3
13.0%
기 1
 
4.3%
타 1
 
4.3%
학 1
 
4.3%
교 1
 
4.3%
정 1
 
4.3%
화 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 (%)
주 6
26.1%
택 3
13.0%
가 3
13.0%
변 3
13.0%
기 1
 
4.3%
타 1
 
4.3%
학 1
 
4.3%
교 1
 
4.3%
정 1
 
4.3%
화 1
 
4.3%
Other values (2) 2
 
8.7%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

보험기관명
Text

MISSING 

Distinct69
Distinct (%)35.9%
Missing42
Missing (%)17.9%
Memory size2.0 KiB
2023-10-21T05:40:30.958038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length10.390625
Min length4

Characters and Unicode

Total characters1995
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

Unique57 ?
Unique (%)29.7%

Sample

1st row대구관광협회
2nd row서울보증보험
3rd row서울보증보험 03-22-0104
4th row관광협회 511-88-00094
5th row서울보증보험 750-81-01229
ValueCountFrequency (%)
서울보증보험 98
38.4%
한국관광협회중앙회 18
 
7.1%
관광협회 18
 
7.1%
관광공제회 17
 
6.7%
서울보증보험주식회사 15
 
5.9%
한국관광협회 13
 
5.1%
여행공제회 7
 
2.7%
서울보증 4
 
1.6%
한국여행업협회 3
 
1.2%
서울보증보험(주 2
 
0.8%
Other values (58) 60
23.5%
2023-10-21T05:40:32.824347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 242
 
12.1%
서 123
 
6.2%
증 123
 
6.2%
울 123
 
6.2%
회 120
 
6.0%
험 119
 
6.0%
0 106
 
5.3%
- 104
 
5.2%
8 82
 
4.1%
광 73
 
3.7%
Other values (30) 780
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1293
64.8%
Decimal Number 527
26.4%
Dash Punctuation 104
 
5.2%
Space Separator 63
 
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 (%)
보 242
18.7%
서 123
9.5%
증 123
9.5%
울 123
9.5%
회 120
9.3%
험 119
9.2%
광 73
 
5.6%
관 72
 
5.6%
협 58
 
4.5%
국 34
 
2.6%
Other values (15) 206
15.9%
Decimal Number
ValueCountFrequency (%)
0 106
20.1%
8 82
15.6%
1 69
13.1%
5 52
9.9%
2 47
8.9%
4 47
8.9%
9 35
 
6.6%
3 31
 
5.9%
6 29
 
5.5%
7 29
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Space Separator
ValueCountFrequency (%)
63
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 1293
64.8%
Common 702
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 242
18.7%
서 123
9.5%
증 123
9.5%
울 123
9.5%
회 120
9.3%
험 119
9.2%
광 73
 
5.6%
관 72
 
5.6%
협 58
 
4.5%
국 34
 
2.6%
Other values (15) 206
15.9%
Common
ValueCountFrequency (%)
0 106
15.1%
- 104
14.8%
8 82
11.7%
1 69
9.8%
63
9.0%
5 52
7.4%
2 47
6.7%
4 47
6.7%
9 35
 
5.0%
3 31
 
4.4%
Other values (5) 66
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1293
64.8%
ASCII 702
35.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 242
18.7%
서 123
9.5%
증 123
9.5%
울 123
9.5%
회 120
9.3%
험 119
9.2%
광 73
 
5.6%
관 72
 
5.6%
협 58
 
4.5%
국 34
 
2.6%
Other values (15) 206
15.9%
ASCII
ValueCountFrequency (%)
0 106
15.1%
- 104
14.8%
8 82
11.7%
1 69
9.8%
63
9.0%
5 52
7.4%
2 47
6.7%
4 47
6.7%
9 35
 
5.0%
3 31
 
4.4%
Other values (5) 66
9.4%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
213 
사무실
 
10
근린생활시설
 
9
교육연구시설
 
1
문화시설
 
1

Length

Max length6
Median length4
Mean length4.042735
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> 213
91.0%
사무실 10
 
4.3%
근린생활시설 9
 
3.8%
교육연구시설 1
 
0.4%
문화시설 1
 
0.4%

Length

2023-10-21T05:40:33.625826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:34.235128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 213
91.0%
사무실 10
 
4.3%
근린생활시설 9
 
3.8%
교육연구시설 1
 
0.4%
문화시설 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)5.1%
Missing59
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean0.37142857
Minimum0
Maximum13
Zeros157
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:34.572327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.3
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5552232
Coefficient of variation (CV)4.1871394
Kurtosis38.049193
Mean0.37142857
Median Absolute Deviation (MAD)0
Skewness5.834322
Sum65
Variance2.4187192
MonotonicityNot monotonic
2023-10-21T05:40:35.095611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 157
67.1%
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) 59
 
25.2%
ValueCountFrequency (%)
0 157
67.1%
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%
0 157
67.1%

지하층수
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
162 
<NA>
66 
1
 
5
2
 
1

Length

Max length4
Median length1
Mean length1.8461538
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 162
69.2%
<NA> 66
28.2%
1 5
 
2.1%
2 1
 
0.4%

Length

2023-10-21T05:40:35.690931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:36.371521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 162
69.2%
na 66
28.2%
1 5
 
2.1%
2 1
 
0.4%

객실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:37.010540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:37.525004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

건축연면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:38.085069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:38.547220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

영문상호명
Text

MISSING 

Distinct106
Distinct (%)100.0%
Missing128
Missing (%)54.7%
Memory size2.0 KiB
2023-10-21T05:40:39.410901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27.5
Mean length19.669811
Min length3

Characters and Unicode

Total characters2085
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

Unique106 ?
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 51
 
15.1%
co.,ltd 38
 
11.3%
co 31
 
9.2%
ltd 31
 
9.2%
travel 11
 
3.3%
korea 5
 
1.5%
medi 4
 
1.2%
daegu 4
 
1.2%
express 4
 
1.2%
inc 3
 
0.9%
Other values (146) 155
46.0%
2023-10-21T05:40:40.584996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
 
11.1%
O 152
 
7.3%
T 147
 
7.1%
L 104
 
5.0%
C 100
 
4.8%
. 89
 
4.3%
R 89
 
4.3%
E 87
 
4.2%
D 79
 
3.8%
U 77
 
3.7%
Other values (51) 929
44.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1263
60.6%
Lowercase Letter 417
 
20.0%
Space Separator 232
 
11.1%
Other Punctuation 162
 
7.8%
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 60
14.4%
t 41
9.8%
r 39
9.4%
a 38
9.1%
e 37
8.9%
d 28
 
6.7%
n 28
 
6.7%
u 25
 
6.0%
i 23
 
5.5%
c 15
 
3.6%
Other values (15) 83
19.9%
Uppercase Letter
ValueCountFrequency (%)
O 152
12.0%
T 147
11.6%
L 104
 
8.2%
C 100
 
7.9%
R 89
 
7.0%
E 87
 
6.9%
D 79
 
6.3%
U 77
 
6.1%
A 74
 
5.9%
N 58
 
4.6%
Other values (14) 296
23.4%
Other Punctuation
ValueCountFrequency (%)
. 89
54.9%
, 66
40.7%
& 6
 
3.7%
' 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
232
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 1680
80.6%
Common 405
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 152
 
9.0%
T 147
 
8.8%
L 104
 
6.2%
C 100
 
6.0%
R 89
 
5.3%
E 87
 
5.2%
D 79
 
4.7%
U 77
 
4.6%
A 74
 
4.4%
o 60
 
3.6%
Other values (39) 711
42.3%
Common
ValueCountFrequency (%)
232
57.3%
. 89
 
22.0%
, 66
 
16.3%
& 6
 
1.5%
- 3
 
0.7%
( 2
 
0.5%
) 2
 
0.5%
2 1
 
0.2%
4 1
 
0.2%
1 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
 
11.1%
O 152
 
7.3%
T 147
 
7.1%
L 104
 
5.0%
C 100
 
4.8%
. 89
 
4.3%
R 89
 
4.3%
E 87
 
4.2%
D 79
 
3.8%
U 77
 
3.7%
Other values (51) 929
44.6%

영문상호주소
Categorical

IMBALANCE 

Distinct16
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
128 
General travel business
72 
General Travel Agency
14 
Inbound Travel business
 
5
Inbound Travel Agency
 
3
Other values (11)
 
12

Length

Max length33
Median length4
Mean length12.431624
Min length4

Unique

Unique10 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
54.7%
General travel business 72
30.8%
General Travel Agency 14
 
6.0%
Inbound Travel business 5
 
2.1%
Inbound Travel Agency 3
 
1.3%
General Travel Business 2
 
0.9%
Inbound travel business 1
 
0.4%
Domestic travel business 1
 
0.4%
GENERAL TRAVEL BUSINESS 1
 
0.4%
Inbound Travel Agent 1
 
0.4%
Other values (6) 6
 
2.6%

Length

2023-10-21T05:40:41.259454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 128
28.6%
travel 105
23.5%
general 92
20.6%
business 84
18.8%
agency 18
 
4.0%
inbound 11
 
2.5%
domestic 2
 
0.4%
agent 2
 
0.4%
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 size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:42.109420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:42.600211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

선박척수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:43.207536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:43.880454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:44.730399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:45.224848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

좌석수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:46.080376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:46.646573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:47.279215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:47.755196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)20.1%
Missing55
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean118.53447
Minimum0
Maximum17749
Zeros141
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:48.145656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile116.733
Maximum17749
Range17749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1326.68
Coefficient of variation (CV)11.192356
Kurtosis178.17057
Mean118.53447
Median Absolute Deviation (MAD)0
Skewness13.333476
Sum21217.67
Variance1760079.7
MonotonicityNot monotonic
2023-10-21T05:40:48.770044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 141
60.3%
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 (26) 26
 
11.1%
(Missing) 55
 
23.5%
ValueCountFrequency (%)
0.0 141
60.3%
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%
34.0 1
 
0.4%
34.6 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 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
165 
<NA>
69 

Length

Max length4
Median length1
Mean length1.8846154
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
70.5%
<NA> 69
29.5%

Length

2023-10-21T05:40:49.445761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:40:49.783251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
70.5%
na 69
29.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)20.9%
Missing9
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean2.3927744 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros49
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:50.304557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000000
median1 × 108
Q32 × 108
95-th percentile4.9 × 108
Maximum1.7555271 × 1010
Range1.7555271 × 1010
Interquartile range (IQR)1.5 × 108

Descriptive statistics

Standard deviation1.1834422 × 109
Coefficient of variation (CV)4.9458994
Kurtosis207.17574
Mean2.3927744 × 108
Median Absolute Deviation (MAD)1 × 108
Skewness14.137986
Sum5.3837425 × 1010
Variance1.4005354 × 1018
MonotonicityNot monotonic
2023-10-21T05:40:50.835872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
200000000 50
21.4%
0 49
20.9%
100000000 41
17.5%
50000000 25
10.7%
350000000 7
 
3.0%
300000000 7
 
3.0%
150000000 3
 
1.3%
500000000 3
 
1.3%
250000000 2
 
0.9%
91418784 1
 
0.4%
Other values (37) 37
15.8%
(Missing) 9
 
3.8%
ValueCountFrequency (%)
0 49
20.9%
50000000 25
10.7%
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 41
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 

Distinct189
Distinct (%)90.9%
Missing26
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean20207254
Minimum20100517
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:51.398305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150860
Q120200591
median20220425
Q320221126
95-th percentile20230712
Maximum20230926
Range130409
Interquartile range (IQR)20535.5

Descriptive statistics

Standard deviation27335.487
Coefficient of variation (CV)0.0013527562
Kurtosis2.4528432
Mean20207254
Median Absolute Deviation (MAD)9879.5
Skewness-1.668175
Sum4.2031087 × 109
Variance7.4722886 × 108
MonotonicityNot monotonic
2023-10-21T05:40:52.120893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230302 3
 
1.3%
20220425 3
 
1.3%
20220610 3
 
1.3%
20200830 2
 
0.9%
20220808 2
 
0.9%
20220601 2
 
0.9%
20230817 2
 
0.9%
20210413 2
 
0.9%
20210601 2
 
0.9%
20230301 2
 
0.9%
Other values (179) 185
79.1%
(Missing) 26
 
11.1%
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 (%)
20230926 1
0.4%
20230923 1
0.4%
20230907 1
0.4%
20230904 1
0.4%
20230902 1
0.4%
20230820 1
0.4%
20230817 2
0.9%
20230731 1
0.4%
20230726 1
0.4%
20230716 1
0.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct185
Distinct (%)88.9%
Missing26
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean20217783
Minimum20110517
Maximum20260308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:52.742316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160860
Q120210590
median20230516
Q320233450
95-th percentile20240787
Maximum20260308
Range149791
Interquartile range (IQR)22860

Descriptive statistics

Standard deviation27633.157
Coefficient of variation (CV)0.0013667749
Kurtosis2.3869001
Mean20217783
Median Absolute Deviation (MAD)9888
Skewness-1.6442388
Sum4.2052988 × 109
Variance7.6359139 × 108
MonotonicityNot monotonic
2023-10-21T05:40:53.361302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230424 3
 
1.3%
20220617 3
 
1.3%
20230610 3
 
1.3%
20240302 3
 
1.3%
20240301 3
 
1.3%
20231116 2
 
0.9%
20230609 2
 
0.9%
20220531 2
 
0.9%
20231012 2
 
0.9%
20230523 2
 
0.9%
Other values (175) 183
78.2%
(Missing) 26
 
11.1%
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%
20240926 1
0.4%
20240922 1
0.4%
20240906 1
0.4%
20240904 1
0.4%
20240901 1
0.4%
20240819 1
0.4%
20240818 1
0.4%
20240817 2
0.9%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)17.9%
Missing55
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean118.53631
Minimum0
Maximum17749
Zeros141
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-10-21T05:40:54.025091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile116.4
Maximum17749
Range17749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1326.6797
Coefficient of variation (CV)11.19218
Kurtosis178.17061
Mean118.53631
Median Absolute Deviation (MAD)0
Skewness13.333479
Sum21218
Variance1760079.1
MonotonicityNot monotonic
2023-10-21T05:40:54.993804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 141
60.3%
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 (22) 22
 
9.4%
(Missing) 55
 
23.5%
ValueCountFrequency (%)
0 141
60.3%
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%
34 1
 
0.4%
35 2
 
0.9%
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_P3410000CDFI22600420220000072022-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-9956<NA><NA>대구광역시 중구 봉산동 167-10 601호대구광역시 중구 봉산문화1길 13-1, 601호 (봉산동)41959대동성 여행사2023-03-03 15:09:27U2023-03-05 02:40:00<NA>344271.700172263720.106407종합여행업<NA><NA>0<NA><NA>대구관광협회<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02022082220230822<NA>0
12종합여행업03_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
23종합여행업03_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
34종합여행업03_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
45종합여행업03_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
56종합여행업03_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
67종합여행업03_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>
78종합여행업03_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>
89종합여행업03_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>
910종합여행업03_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
224225종합여행업03_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
225226종합여행업03_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
226227종합여행업03_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
227228종합여행업03_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
228229종합여행업03_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
229230종합여행업03_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
230231종합여행업03_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>
231232종합여행업03_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>
232233종합여행업03_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
233234종합여행업03_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