Overview

Dataset statistics

Number of variables63
Number of observations251
Missing cells5246
Missing cells (%)33.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory132.7 KiB
Average record size in memory541.5 B

Variable types

Numeric11
Categorical22
Text10
DateTime7
Unsupported13

Dataset

Description24년03월_6270000_대구광역시_03_12_03_P_종합여행업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106683&dataSetDetailId=DDI_0000106715&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.7%)Imbalance
상세영업상태명 is highly imbalanced (53.7%)Imbalance
지역구분명 is highly imbalanced (79.7%)Imbalance
건물용도명 is highly imbalanced (76.9%)Imbalance
지하층수 is highly imbalanced (50.9%)Imbalance
영문상호주소 is highly imbalanced (54.4%)Imbalance
기획여행보험시작일자 is highly imbalanced (96.3%)Imbalance
기획여행보험종료일자 is highly imbalanced (96.3%)Imbalance
인허가취소일자 has 239 (95.2%) missing valuesMissing
폐업일자 has 208 (82.9%) missing valuesMissing
휴업시작일자 has 248 (98.8%) missing valuesMissing
휴업종료일자 has 248 (98.8%) missing valuesMissing
재개업일자 has 251 (100.0%) missing valuesMissing
소재지전화 has 89 (35.5%) missing valuesMissing
소재지면적 has 251 (100.0%) missing valuesMissing
소재지우편번호 has 218 (86.9%) missing valuesMissing
도로명우편번호 has 3 (1.2%) missing valuesMissing
업태구분명 has 251 (100.0%) missing valuesMissing
문화사업자구분명 has 251 (100.0%) missing valuesMissing
총층수 has 56 (22.3%) missing valuesMissing
주변환경명 has 245 (97.6%) missing valuesMissing
제작취급품목내용 has 251 (100.0%) missing valuesMissing
보험기관명 has 48 (19.1%) missing valuesMissing
지상층수 has 56 (22.3%) missing valuesMissing
영문상호명 has 139 (55.4%) missing valuesMissing
선박제원 has 251 (100.0%) missing valuesMissing
기념품종류 has 251 (100.0%) missing valuesMissing
시설면적 has 52 (20.7%) missing valuesMissing
놀이기구수내역 has 251 (100.0%) missing valuesMissing
방송시설유무 has 251 (100.0%) missing valuesMissing
발전시설유무 has 251 (100.0%) missing valuesMissing
의무실유무 has 251 (100.0%) missing valuesMissing
안내소유무 has 251 (100.0%) missing valuesMissing
자본금 has 8 (3.2%) missing valuesMissing
보험시작일자 has 36 (14.3%) missing valuesMissing
보험종료일자 has 36 (14.3%) missing valuesMissing
부대시설내역 has 251 (100.0%) missing valuesMissing
시설규모 has 52 (20.7%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 180 (71.7%) zerosZeros
지상층수 has 178 (70.9%) zerosZeros
시설면적 has 160 (63.7%) zerosZeros
자본금 has 51 (20.3%) zerosZeros
시설규모 has 160 (63.7%) zerosZeros

Reproduction

Analysis started2024-04-29 12:43:54.146362
Analysis finished2024-04-29 12:43:55.139516
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126
Minimum1
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:43:55.220731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.5
Q163.5
median126
Q3188.5
95-th percentile238.5
Maximum251
Range250
Interquartile range (IQR)125

Descriptive statistics

Standard deviation72.601653
Coefficient of variation (CV)0.57620359
Kurtosis-1.2
Mean126
Median Absolute Deviation (MAD)63
Skewness0
Sum31626
Variance5271
MonotonicityStrictly increasing
2024-04-29T21:43:55.365991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
174 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
Other values (241) 241
96.0%
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 (%)
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
종합여행업
251 

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 251
100.0%

Length

2024-04-29T21:43:55.628307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:43:55.709825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 251
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
03_12_03_P
251 

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 251
100.0%

Length

2024-04-29T21:43:55.798925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:43:55.885398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_03_p 251
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436334.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:43:55.965299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3430000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation24448.14
Coefficient of variation (CV)0.0071145981
Kurtosis-1.5617392
Mean3436334.7
Median Absolute Deviation (MAD)20000
Skewness0.22114896
Sum8.6252 × 108
Variance5.9771155 × 108
MonotonicityIncreasing
2024-04-29T21:43:56.078150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 86
34.3%
3460000 39
15.5%
3420000 34
 
13.5%
3470000 33
 
13.1%
3450000 31
 
12.4%
3440000 14
 
5.6%
3480000 8
 
3.2%
3430000 6
 
2.4%
ValueCountFrequency (%)
3410000 86
34.3%
3420000 34
 
13.5%
3430000 6
 
2.4%
3440000 14
 
5.6%
3450000 31
 
12.4%
3460000 39
15.5%
3470000 33
 
13.1%
3480000 8
 
3.2%
ValueCountFrequency (%)
3480000 8
 
3.2%
3470000 33
 
13.1%
3460000 39
15.5%
3450000 31
 
12.4%
3440000 14
 
5.6%
3430000 6
 
2.4%
3420000 34
 
13.5%
3410000 86
34.3%
Distinct111
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-29T21:43:56.265000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5020
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

Unique51 ?
Unique (%)20.3%

Sample

1st rowCDFI2260042011000004
2nd rowCDFI2260042020000008
3rd rowCDFI2260042022000008
4th rowCDFI2260042023000001
5th rowCDFI2260042021000001
ValueCountFrequency (%)
cdfi2260042023000002 7
 
2.8%
cdfi2260042022000001 7
 
2.8%
cdfi2260042016000001 6
 
2.4%
cdfi2260042023000001 6
 
2.4%
cdfi2260042021000001 6
 
2.4%
cdfi2260042023000005 6
 
2.4%
cdfi2260042023000003 6
 
2.4%
cdfi2260042023000004 6
 
2.4%
cdfi2260042017000002 6
 
2.4%
cdfi2260042020000001 5
 
2.0%
Other values (101) 190
75.7%
2024-04-29T21:43:56.571818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2034
40.5%
2 963
19.2%
4 297
 
5.9%
6 295
 
5.9%
C 251
 
5.0%
D 251
 
5.0%
F 251
 
5.0%
I 251
 
5.0%
1 230
 
4.6%
3 71
 
1.4%
Other values (4) 126
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4016
80.0%
Uppercase Letter 1004
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2034
50.6%
2 963
24.0%
4 297
 
7.4%
6 295
 
7.3%
1 230
 
5.7%
3 71
 
1.8%
7 36
 
0.9%
5 36
 
0.9%
8 28
 
0.7%
9 26
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 251
25.0%
D 251
25.0%
F 251
25.0%
I 251
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4016
80.0%
Latin 1004
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2034
50.6%
2 963
24.0%
4 297
 
7.4%
6 295
 
7.3%
1 230
 
5.7%
3 71
 
1.8%
7 36
 
0.9%
5 36
 
0.9%
8 28
 
0.7%
9 26
 
0.6%
Latin
ValueCountFrequency (%)
C 251
25.0%
D 251
25.0%
F 251
25.0%
I 251
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2034
40.5%
2 963
19.2%
4 297
 
5.9%
6 295
 
5.9%
C 251
 
5.0%
D 251
 
5.0%
F 251
 
5.0%
I 251
 
5.0%
1 230
 
4.6%
3 71
 
1.4%
Other values (4) 126
 
2.5%
Distinct237
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1998-10-30 00:00:00
Maximum2024-03-27 00:00:00
2024-04-29T21:43:56.703805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:43:56.839732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct6
Distinct (%)50.0%
Missing239
Missing (%)95.2%
Memory size2.1 KiB
Minimum2012-05-22 00:00:00
Maximum2023-11-01 00:00:00
2024-04-29T21:43:56.944360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:43:57.028736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
192 
3
41 
4
 
15
2
 
3

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 (%)
1 192
76.5%
3 41
 
16.3%
4 15
 
6.0%
2 3
 
1.2%

Length

2024-04-29T21:43:57.135120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:43:57.228203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 192
76.5%
3 41
 
16.3%
4 15
 
6.0%
2 3
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
192 
폐업
41 
취소/말소/만료/정지/중지
 
15
휴업
 
3

Length

Max length14
Median length5
Mean length5.0119522
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 192
76.5%
폐업 41
 
16.3%
취소/말소/만료/정지/중지 15
 
6.0%
휴업 3
 
1.2%

Length

2024-04-29T21:43:57.330473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:43:57.427534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 192
76.5%
폐업 41
 
16.3%
취소/말소/만료/정지/중지 15
 
6.0%
휴업 3
 
1.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
192 
3
41 
31
 
13
2
 
3
35
 
2

Length

Max length2
Median length2
Mean length1.8247012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 192
76.5%
3 41
 
16.3%
31 13
 
5.2%
2 3
 
1.2%
35 2
 
0.8%

Length

2024-04-29T21:43:57.521861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:43:57.613946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 192
76.5%
3 41
 
16.3%
31 13
 
5.2%
2 3
 
1.2%
35 2
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
192 
폐업
41 
등록취소
 
13
휴업
 
3
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8844622
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 192
76.5%
폐업 41
 
16.3%
등록취소 13
 
5.2%
휴업 3
 
1.2%
직권말소 2
 
0.8%

Length

2024-04-29T21:43:57.732865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:43:57.834322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 192
76.5%
폐업 41
 
16.3%
등록취소 13
 
5.2%
휴업 3
 
1.2%
직권말소 2
 
0.8%

폐업일자
Date

MISSING 

Distinct43
Distinct (%)100.0%
Missing208
Missing (%)82.9%
Memory size2.1 KiB
Minimum2011-07-20 00:00:00
Maximum2024-03-08 00:00:00
2024-04-29T21:43:57.940257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:43:58.068292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing248
Missing (%)98.8%
Memory size2.1 KiB
Minimum2023-04-12 00:00:00
Maximum2024-03-12 00:00:00
2024-04-29T21:43:58.176199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:43:58.265472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing248
Missing (%)98.8%
Memory size2.1 KiB
Minimum2024-04-30 00:00:00
Maximum2026-03-11 00:00:00
2024-04-29T21:43:58.348399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:43:58.434018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct155
Distinct (%)95.7%
Missing89
Missing (%)35.5%
Memory size2.1 KiB
2024-04-29T21:43:58.642038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.679012
Min length8

Characters and Unicode

Total characters1892
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

Unique148 ?
Unique (%)91.4%

Sample

1st row053-431-9700
2nd row053-742-2323
3rd row070-7614-7570
4th row1811-8335
5th row053-557-0700
ValueCountFrequency (%)
053 5
 
2.9%
053-425-5456 2
 
1.2%
327-2888 2
 
1.2%
070-4797-1712 2
 
1.2%
053-421-2277 2
 
1.2%
053-746-8007 2
 
1.2%
053-216-6000 2
 
1.2%
053-215-3355 2
 
1.2%
053-770-5411 1
 
0.6%
053-654-7705 1
 
0.6%
Other values (151) 151
87.8%
2024-04-29T21:43:58.997571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 315
16.6%
5 285
15.1%
- 282
14.9%
3 226
11.9%
2 153
8.1%
7 136
7.2%
4 116
 
6.1%
1 107
 
5.7%
6 93
 
4.9%
8 93
 
4.9%
Other values (3) 86
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1599
84.5%
Dash Punctuation 282
 
14.9%
Space Separator 10
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
19.7%
5 285
17.8%
3 226
14.1%
2 153
9.6%
7 136
8.5%
4 116
 
7.3%
1 107
 
6.7%
6 93
 
5.8%
8 93
 
5.8%
9 75
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1892
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
16.6%
5 285
15.1%
- 282
14.9%
3 226
11.9%
2 153
8.1%
7 136
7.2%
4 116
 
6.1%
1 107
 
5.7%
6 93
 
4.9%
8 93
 
4.9%
Other values (3) 86
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
16.6%
5 285
15.1%
- 282
14.9%
3 226
11.9%
2 153
8.1%
7 136
7.2%
4 116
 
6.1%
1 107
 
5.7%
6 93
 
4.9%
8 93
 
4.9%
Other values (3) 86
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Text

MISSING 

Distinct29
Distinct (%)87.9%
Missing218
Missing (%)86.9%
Memory size2.1 KiB
2024-04-29T21:43:59.175403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters231
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 (%)81.8%

Sample

1st row700-826
2nd row700-422
3rd row700-719
4th row700-411
5th row700-421
ValueCountFrequency (%)
700-421 3
 
9.1%
700-422 3
 
9.1%
705-010 1
 
3.0%
703-800 1
 
3.0%
704-938 1
 
3.0%
704-808 1
 
3.0%
706-722 1
 
3.0%
706-836 1
 
3.0%
706-803 1
 
3.0%
706-823 1
 
3.0%
Other values (19) 19
57.6%
2024-04-29T21:43:59.460189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
26.4%
7 41
17.7%
- 33
14.3%
2 21
 
9.1%
1 21
 
9.1%
8 17
 
7.4%
4 13
 
5.6%
6 8
 
3.5%
3 7
 
3.0%
5 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
85.7%
Dash Punctuation 33
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
30.8%
7 41
20.7%
2 21
 
10.6%
1 21
 
10.6%
8 17
 
8.6%
4 13
 
6.6%
6 8
 
4.0%
3 7
 
3.5%
5 6
 
3.0%
9 3
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
26.4%
7 41
17.7%
- 33
14.3%
2 21
 
9.1%
1 21
 
9.1%
8 17
 
7.4%
4 13
 
5.6%
6 8
 
3.5%
3 7
 
3.0%
5 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
26.4%
7 41
17.7%
- 33
14.3%
2 21
 
9.1%
1 21
 
9.1%
8 17
 
7.4%
4 13
 
5.6%
6 8
 
3.5%
3 7
 
3.0%
5 6
 
2.6%
Distinct235
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-29T21:43:59.814256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length23.928287
Min length13

Characters and Unicode

Total characters6006
Distinct characters219
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

Unique224 ?
Unique (%)89.2%

Sample

1st row대구광역시 중구 동인동3가 369-5번지 신세계통신 101호
2nd row대구광역시 중구 북성로1가 6-1 대구스테이션센터, 12층 B01호
3rd row대구광역시 중구 삼덕동2가 210-1 진석타워 1311호
4th row대구광역시 중구 대봉동 20-35
5th row대구광역시 중구 삼덕동2가 210-1 진석타워
ValueCountFrequency (%)
대구광역시 251
 
21.0%
중구 86
 
7.2%
수성구 39
 
3.3%
동구 34
 
2.8%
달서구 33
 
2.8%
북구 31
 
2.6%
신천동 18
 
1.5%
남구 14
 
1.2%
삼덕동2가 11
 
0.9%
동인동1가 11
 
0.9%
Other values (430) 668
55.9%
2024-04-29T21:44:00.303401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1159
19.3%
520
 
8.7%
1 330
 
5.5%
308
 
5.1%
300
 
5.0%
257
 
4.3%
255
 
4.2%
254
 
4.2%
- 201
 
3.3%
2 181
 
3.0%
Other values (209) 2241
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3397
56.6%
Decimal Number 1222
 
20.3%
Space Separator 1159
 
19.3%
Dash Punctuation 201
 
3.3%
Uppercase Letter 16
 
0.3%
Other Punctuation 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
520
15.3%
308
 
9.1%
300
 
8.8%
257
 
7.6%
255
 
7.5%
254
 
7.5%
91
 
2.7%
77
 
2.3%
70
 
2.1%
54
 
1.6%
Other values (183) 1211
35.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
12.5%
C 2
12.5%
T 2
12.5%
K 2
12.5%
A 2
12.5%
S 1
6.2%
Y 1
6.2%
I 1
6.2%
D 1
6.2%
H 1
6.2%
Decimal Number
ValueCountFrequency (%)
1 330
27.0%
2 181
14.8%
3 116
 
9.5%
0 108
 
8.8%
5 96
 
7.9%
6 87
 
7.1%
7 84
 
6.9%
8 80
 
6.5%
9 74
 
6.1%
4 66
 
5.4%
Space Separator
ValueCountFrequency (%)
1159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3397
56.6%
Common 2593
43.2%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
520
15.3%
308
 
9.1%
300
 
8.8%
257
 
7.6%
255
 
7.5%
254
 
7.5%
91
 
2.7%
77
 
2.3%
70
 
2.1%
54
 
1.6%
Other values (183) 1211
35.6%
Common
ValueCountFrequency (%)
1159
44.7%
1 330
 
12.7%
- 201
 
7.8%
2 181
 
7.0%
3 116
 
4.5%
0 108
 
4.2%
5 96
 
3.7%
6 87
 
3.4%
7 84
 
3.2%
8 80
 
3.1%
Other values (5) 151
 
5.8%
Latin
ValueCountFrequency (%)
B 2
12.5%
C 2
12.5%
T 2
12.5%
K 2
12.5%
A 2
12.5%
S 1
6.2%
Y 1
6.2%
I 1
6.2%
D 1
6.2%
H 1
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3397
56.6%
ASCII 2609
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1159
44.4%
1 330
 
12.6%
- 201
 
7.7%
2 181
 
6.9%
3 116
 
4.4%
0 108
 
4.1%
5 96
 
3.7%
6 87
 
3.3%
7 84
 
3.2%
8 80
 
3.1%
Other values (16) 167
 
6.4%
Hangul
ValueCountFrequency (%)
520
15.3%
308
 
9.1%
300
 
8.8%
257
 
7.6%
255
 
7.5%
254
 
7.5%
91
 
2.7%
77
 
2.3%
70
 
2.1%
54
 
1.6%
Other values (183) 1211
35.6%
Distinct239
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-29T21:44:00.527174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length31.972112
Min length20

Characters and Unicode

Total characters8025
Distinct characters260
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

Unique230 ?
Unique (%)91.6%

Sample

1st row대구광역시 중구 태평로 296, 신세계통신 101호 (동인동3가)
2nd row대구광역시 중구 태평로 160, 대구스테이션센터 12층 B01호 (북성로1가)
3rd row대구광역시 중구 동덕로 115, 진석타워 1311호 (삼덕동2가)
4th row대구광역시 중구 달구벌대로 2204 (대봉동)
5th row대구광역시 중구 동덕로 115, 진석타워 1508호 (삼덕동2가)
ValueCountFrequency (%)
대구광역시 251
 
15.6%
중구 86
 
5.4%
수성구 39
 
2.4%
2층 37
 
2.3%
동구 34
 
2.1%
달서구 33
 
2.1%
북구 31
 
1.9%
3층 27
 
1.7%
1층 21
 
1.3%
신천동 18
 
1.1%
Other values (573) 1029
64.1%
2024-04-29T21:44:00.893398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1356
 
16.9%
546
 
6.8%
368
 
4.6%
343
 
4.3%
1 313
 
3.9%
263
 
3.3%
256
 
3.2%
255
 
3.2%
253
 
3.2%
) 247
 
3.1%
Other values (250) 3825
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4570
56.9%
Space Separator 1356
 
16.9%
Decimal Number 1323
 
16.5%
Close Punctuation 247
 
3.1%
Open Punctuation 247
 
3.1%
Other Punctuation 220
 
2.7%
Dash Punctuation 47
 
0.6%
Uppercase Letter 14
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
546
 
11.9%
368
 
8.1%
343
 
7.5%
263
 
5.8%
256
 
5.6%
255
 
5.6%
253
 
5.5%
125
 
2.7%
101
 
2.2%
100
 
2.2%
Other values (222) 1960
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
14.3%
A 2
14.3%
C 2
14.3%
S 1
7.1%
K 1
7.1%
Y 1
7.1%
D 1
7.1%
I 1
7.1%
T 1
7.1%
H 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 313
23.7%
2 219
16.6%
3 131
9.9%
0 128
9.7%
5 121
 
9.1%
4 100
 
7.6%
6 89
 
6.7%
7 81
 
6.1%
9 72
 
5.4%
8 69
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 219
99.5%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4570
56.9%
Common 3441
42.9%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
546
 
11.9%
368
 
8.1%
343
 
7.5%
263
 
5.8%
256
 
5.6%
255
 
5.6%
253
 
5.5%
125
 
2.7%
101
 
2.2%
100
 
2.2%
Other values (222) 1960
42.9%
Common
ValueCountFrequency (%)
1356
39.4%
1 313
 
9.1%
) 247
 
7.2%
( 247
 
7.2%
2 219
 
6.4%
, 219
 
6.4%
3 131
 
3.8%
0 128
 
3.7%
5 121
 
3.5%
4 100
 
2.9%
Other values (7) 360
 
10.5%
Latin
ValueCountFrequency (%)
B 2
14.3%
A 2
14.3%
C 2
14.3%
S 1
7.1%
K 1
7.1%
Y 1
7.1%
D 1
7.1%
I 1
7.1%
T 1
7.1%
H 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4570
56.9%
ASCII 3454
43.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1356
39.3%
1 313
 
9.1%
) 247
 
7.2%
( 247
 
7.2%
2 219
 
6.3%
, 219
 
6.3%
3 131
 
3.8%
0 128
 
3.7%
5 121
 
3.5%
4 100
 
2.9%
Other values (17) 373
 
10.8%
Hangul
ValueCountFrequency (%)
546
 
11.9%
368
 
8.1%
343
 
7.5%
263
 
5.8%
256
 
5.6%
255
 
5.6%
253
 
5.5%
125
 
2.7%
101
 
2.2%
100
 
2.2%
Other values (222) 1960
42.9%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Text

MISSING 

Distinct161
Distinct (%)64.9%
Missing3
Missing (%)1.2%
Memory size2.1 KiB
2024-04-29T21:44:01.218323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0645161
Min length5

Characters and Unicode

Total characters1256
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

Unique117 ?
Unique (%)47.2%

Sample

1st row41906
2nd row41910
3rd row41940
4th row41951
5th row41940
ValueCountFrequency (%)
41940 10
 
4.0%
41910 10
 
4.0%
41911 9
 
3.6%
41931 5
 
2.0%
42612 5
 
2.0%
41913 4
 
1.6%
41921 4
 
1.6%
41422 3
 
1.2%
42709 3
 
1.2%
41260 3
 
1.2%
Other values (151) 192
77.4%
2024-04-29T21:44:01.665406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 312
24.8%
1 264
21.0%
2 167
13.3%
9 122
 
9.7%
0 96
 
7.6%
7 75
 
6.0%
5 67
 
5.3%
3 62
 
4.9%
6 46
 
3.7%
8 37
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1248
99.4%
Dash Punctuation 8
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 312
25.0%
1 264
21.2%
2 167
13.4%
9 122
 
9.8%
0 96
 
7.7%
7 75
 
6.0%
5 67
 
5.4%
3 62
 
5.0%
6 46
 
3.7%
8 37
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1256
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 312
24.8%
1 264
21.0%
2 167
13.3%
9 122
 
9.7%
0 96
 
7.6%
7 75
 
6.0%
5 67
 
5.3%
3 62
 
4.9%
6 46
 
3.7%
8 37
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 312
24.8%
1 264
21.0%
2 167
13.3%
9 122
 
9.7%
0 96
 
7.6%
7 75
 
6.0%
5 67
 
5.3%
3 62
 
4.9%
6 46
 
3.7%
8 37
 
2.9%

사업장명
Text

UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-29T21:44:01.890654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length8.7211155
Min length2

Characters and Unicode

Total characters2189
Distinct characters314
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

Unique251 ?
Unique (%)100.0%

Sample

1st row(주)일석이조 여행클럽
2nd row주식회사킴스투어
3rd row투어마켓
4th row(주)픽쇼코리아
5th row(주)다올여행사
ValueCountFrequency (%)
주식회사 46
 
13.6%
여행사 5
 
1.5%
ltd 2
 
0.6%
투어 2
 
0.6%
co 2
 
0.6%
주)일석이조 1
 
0.3%
ks 1
 
0.3%
투어(mcctour.co.,ltd 1
 
0.3%
엠씨씨 1
 
0.3%
주)대진고속관광 1
 
0.3%
Other values (277) 277
81.7%
2024-04-29T21:44:02.224535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
8.6%
) 140
 
6.4%
( 140
 
6.4%
88
 
4.0%
88
 
4.0%
70
 
3.2%
69
 
3.2%
58
 
2.6%
55
 
2.5%
51
 
2.3%
Other values (304) 1241
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1718
78.5%
Close Punctuation 140
 
6.4%
Open Punctuation 140
 
6.4%
Space Separator 88
 
4.0%
Uppercase Letter 71
 
3.2%
Lowercase Letter 21
 
1.0%
Other Punctuation 10
 
0.5%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
 
11.0%
88
 
5.1%
70
 
4.1%
69
 
4.0%
58
 
3.4%
55
 
3.2%
51
 
3.0%
51
 
3.0%
50
 
2.9%
35
 
2.0%
Other values (265) 1002
58.3%
Uppercase Letter
ValueCountFrequency (%)
T 9
12.7%
C 8
11.3%
O 7
9.9%
L 6
8.5%
R 6
8.5%
K 5
 
7.0%
U 4
 
5.6%
A 4
 
5.6%
N 4
 
5.6%
D 4
 
5.6%
Other values (9) 14
19.7%
Lowercase Letter
ValueCountFrequency (%)
a 3
14.3%
r 3
14.3%
e 2
9.5%
o 2
9.5%
d 2
9.5%
t 2
9.5%
u 1
 
4.8%
k 1
 
4.8%
l 1
 
4.8%
v 1
 
4.8%
Other values (3) 3
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
, 3
30.0%
& 2
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1718
78.5%
Common 379
 
17.3%
Latin 92
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
 
11.0%
88
 
5.1%
70
 
4.1%
69
 
4.0%
58
 
3.4%
55
 
3.2%
51
 
3.0%
51
 
3.0%
50
 
2.9%
35
 
2.0%
Other values (265) 1002
58.3%
Latin
ValueCountFrequency (%)
T 9
 
9.8%
C 8
 
8.7%
O 7
 
7.6%
L 6
 
6.5%
R 6
 
6.5%
K 5
 
5.4%
U 4
 
4.3%
A 4
 
4.3%
N 4
 
4.3%
D 4
 
4.3%
Other values (22) 35
38.0%
Common
ValueCountFrequency (%)
) 140
36.9%
( 140
36.9%
88
23.2%
. 5
 
1.3%
, 3
 
0.8%
& 2
 
0.5%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1718
78.5%
ASCII 471
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
189
 
11.0%
88
 
5.1%
70
 
4.1%
69
 
4.0%
58
 
3.4%
55
 
3.2%
51
 
3.0%
51
 
3.0%
50
 
2.9%
35
 
2.0%
Other values (265) 1002
58.3%
ASCII
ValueCountFrequency (%)
) 140
29.7%
( 140
29.7%
88
18.7%
T 9
 
1.9%
C 8
 
1.7%
O 7
 
1.5%
L 6
 
1.3%
R 6
 
1.3%
. 5
 
1.1%
K 5
 
1.1%
Other values (29) 57
12.1%

최종수정시점
Date

UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2011-07-20 18:11:27
Maximum2024-03-29 18:06:01
2024-04-29T21:44:02.378229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:44:02.517555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
206 
I
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 206
82.1%
I 45
 
17.9%

Length

2024-04-29T21:44:02.646717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:02.732424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 206
82.1%
i 45
 
17.9%
Distinct147
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 02:40:00
2024-04-29T21:44:02.829949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:44:02.950586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct207
Distinct (%)82.8%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean343870.28
Minimum329040.79
Maximum356698.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:03.274204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329040.79
5-th percentile335394.8
Q1341821.73
median344455.71
Q3346160.69
95-th percentile350571.97
Maximum356698.37
Range27657.577
Interquartile range (IQR)4338.9533

Descriptive statistics

Standard deviation4355.8972
Coefficient of variation (CV)0.012667269
Kurtosis1.278032
Mean343870.28
Median Absolute Deviation (MAD)1814.8956
Skewness-0.20361595
Sum85967569
Variance18973840
MonotonicityNot monotonic
2024-04-29T21:44:03.393307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 10
 
4.0%
343991.737064305 6
 
2.4%
344643.136453669 6
 
2.4%
343436.3116066 3
 
1.2%
343251.365402715 3
 
1.2%
340608.886881304 3
 
1.2%
343877.448102742 3
 
1.2%
346662.838831769 2
 
0.8%
344178.718073067 2
 
0.8%
336028.579659446 2
 
0.8%
Other values (197) 210
83.7%
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%
334612.657568901 1
0.4%
334621.225167521 1
0.4%
334801.164329702 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
0.8%
353209.430185261 1
0.4%
352904.676227722 2
0.8%
352460.871814883 1
0.4%
351259.697460395 1
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct207
Distinct (%)82.8%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean263926.72
Minimum239002.81
Maximum274249.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:03.531854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239002.81
5-th percentile259337.67
Q1262434.35
median264347.91
Q3264941.25
95-th percentile270683.17
Maximum274249.78
Range35246.975
Interquartile range (IQR)2506.9071

Descriptive statistics

Standard deviation3359.4177
Coefficient of variation (CV)0.0127286
Kurtosis12.630399
Mean263926.72
Median Absolute Deviation (MAD)1102.9546
Skewness-1.2279823
Sum65981681
Variance11285687
MonotonicityNot monotonic
2024-04-29T21:44:03.678094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 10
 
4.0%
265000.02150015 6
 
2.4%
264628.83887629 6
 
2.4%
264601.46276033 3
 
1.2%
264520.837975252 3
 
1.2%
262318.248215466 3
 
1.2%
266003.475373434 3
 
1.2%
263244.952940366 2
 
0.8%
264969.376778231 2
 
0.8%
262434.346714995 2
 
0.8%
Other values (197) 210
83.7%
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%
272735.675659876 1
0.4%
272600.06388059 2
0.8%
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%
271080.457858646 1
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
종합여행업
251 

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 251
100.0%

Length

2024-04-29T21:44:03.795313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:03.876019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합여행업 251
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
229 
일반주거지역
 
7
근린상업지역
 
4
일반상업지역
 
3
중심상업지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.1513944
Min length4

Unique

Unique4 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
91.2%
일반주거지역 7
 
2.8%
근린상업지역 4
 
1.6%
일반상업지역 3
 
1.2%
중심상업지역 2
 
0.8%
주거지역 2
 
0.8%
전용주거지역 1
 
0.4%
상업지역 1
 
0.4%
자연녹지지역 1
 
0.4%
일반공업지역 1
 
0.4%

Length

2024-04-29T21:44:03.970284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:04.088998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
91.2%
일반주거지역 7
 
2.8%
근린상업지역 4
 
1.6%
일반상업지역 3
 
1.2%
중심상업지역 2
 
0.8%
주거지역 2
 
0.8%
전용주거지역 1
 
0.4%
상업지역 1
 
0.4%
자연녹지지역 1
 
0.4%
일반공업지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.6%
Missing56
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean0.27692308
Minimum0
Maximum10
Zeros180
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:04.193365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.1906988
Coefficient of variation (CV)4.2997457
Kurtosis38.473549
Mean0.27692308
Median Absolute Deviation (MAD)0
Skewness5.7609968
Sum54
Variance1.4177637
MonotonicityNot monotonic
2024-04-29T21:44:04.291317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 180
71.7%
2 4
 
1.6%
4 4
 
1.6%
3 3
 
1.2%
1 2
 
0.8%
10 1
 
0.4%
9 1
 
0.4%
(Missing) 56
 
22.3%
ValueCountFrequency (%)
0 180
71.7%
1 2
 
0.8%
2 4
 
1.6%
3 3
 
1.2%
4 4
 
1.6%
9 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
10 1
 
0.4%
9 1
 
0.4%
4 4
 
1.6%
3 3
 
1.2%
2 4
 
1.6%
1 2
 
0.8%
0 180
71.7%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing245
Missing (%)97.6%
Memory size2.1 KiB
2024-04-29T21:44:04.409368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters30
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 (%)33.3%

Sample

1st row주택가주변
2nd row주택가주변
3rd row주택가주변
4th row기타
5th row주택가주변
ValueCountFrequency (%)
주택가주변 4
66.7%
기타 1
 
16.7%
학교정화(상대 1
 
16.7%
2024-04-29T21:44:04.671114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
26.7%
4
13.3%
4
13.3%
4
13.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (4) 4
13.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
93.3%
Open Punctuation 1
 
3.3%
Close Punctuation 1
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
28.6%
4
14.3%
4
14.3%
4
14.3%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (2) 2
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
93.3%
Common 2
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
28.6%
4
14.3%
4
14.3%
4
14.3%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (2) 2
 
7.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
93.3%
ASCII 2
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
28.6%
4
14.3%
4
14.3%
4
14.3%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (2) 2
 
7.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

보험기관명
Text

MISSING 

Distinct69
Distinct (%)34.0%
Missing48
Missing (%)19.1%
Memory size2.1 KiB
2024-04-29T21:44:04.904594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length10.162562
Min length4

Characters and Unicode

Total characters2063
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 (%)28.1%

Sample

1st row서울보증보험 504-81-97326
2nd row서울보증보험 735-86-00702
3rd row서울보증보험
4th row대구관광협회
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 108
40.6%
관광공제회 19
 
7.1%
한국관광협회중앙회 18
 
6.8%
관광협회 17
 
6.4%
서울보증보험주식회사 15
 
5.6%
한국관광협회 13
 
4.9%
여행공제회 6
 
2.3%
서울보증 4
 
1.5%
한국여행업협회 4
 
1.5%
주식회사 2
 
0.8%
Other values (58) 60
22.6%
2024-04-29T21:44:05.249526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
12.7%
133
 
6.4%
133
 
6.4%
133
 
6.4%
129
 
6.3%
121
 
5.9%
0 108
 
5.2%
- 104
 
5.0%
8 82
 
4.0%
74
 
3.6%
Other values (30) 784
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1361
66.0%
Decimal Number 527
 
25.5%
Dash Punctuation 104
 
5.0%
Space Separator 63
 
3.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
262
19.3%
133
9.8%
133
9.8%
133
9.8%
129
9.5%
121
8.9%
74
 
5.4%
73
 
5.4%
58
 
4.3%
35
 
2.6%
Other values (15) 210
15.4%
Decimal Number
ValueCountFrequency (%)
0 108
20.5%
8 82
15.6%
1 69
13.1%
5 51
9.7%
4 48
9.1%
2 47
8.9%
9 33
 
6.3%
3 31
 
5.9%
7 30
 
5.7%
6 28
 
5.3%
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 1361
66.0%
Common 702
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
262
19.3%
133
9.8%
133
9.8%
133
9.8%
129
9.5%
121
8.9%
74
 
5.4%
73
 
5.4%
58
 
4.3%
35
 
2.6%
Other values (15) 210
15.4%
Common
ValueCountFrequency (%)
0 108
15.4%
- 104
14.8%
8 82
11.7%
1 69
9.8%
63
9.0%
5 51
7.3%
4 48
6.8%
2 47
6.7%
9 33
 
4.7%
3 31
 
4.4%
Other values (5) 66
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1361
66.0%
ASCII 702
34.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
262
19.3%
133
9.8%
133
9.8%
133
9.8%
129
9.5%
121
8.9%
74
 
5.4%
73
 
5.4%
58
 
4.3%
35
 
2.6%
Other values (15) 210
15.4%
ASCII
ValueCountFrequency (%)
0 108
15.4%
- 104
14.8%
8 82
11.7%
1 69
9.8%
63
9.0%
5 51
7.3%
4 48
6.8%
2 47
6.7%
9 33
 
4.7%
3 31
 
4.4%
Other values (5) 66
9.4%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
230 
사무실
 
10
근린생활시설
 
9
교육연구시설
 
1
문화시설
 
1

Length

Max length6
Median length4
Mean length4.0398406
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 230
91.6%
사무실 10
 
4.0%
근린생활시설 9
 
3.6%
교육연구시설 1
 
0.4%
문화시설 1
 
0.4%

Length

2024-04-29T21:44:05.371830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:05.476696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 230
91.6%
사무실 10
 
4.0%
근린생활시설 9
 
3.6%
교육연구시설 1
 
0.4%
문화시설 1
 
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.6%
Missing56
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean0.32307692
Minimum0
Maximum13
Zeros178
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:05.571305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.4725078
Coefficient of variation (CV)4.5577622
Kurtosis43.48582
Mean0.32307692
Median Absolute Deviation (MAD)0
Skewness6.2486083
Sum63
Variance2.1682791
MonotonicityNot monotonic
2024-04-29T21:44:05.674984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 178
70.9%
1 6
 
2.4%
3 4
 
1.6%
2 2
 
0.8%
10 1
 
0.4%
9 1
 
0.4%
5 1
 
0.4%
13 1
 
0.4%
4 1
 
0.4%
(Missing) 56
 
22.3%
ValueCountFrequency (%)
0 178
70.9%
1 6
 
2.4%
2 2
 
0.8%
3 4
 
1.6%
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
 
1.6%
2 2
 
0.8%
1 6
 
2.4%
0 178
70.9%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
182 
<NA>
63 
1
 
5
2
 
1

Length

Max length4
Median length1
Mean length1.752988
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 182
72.5%
<NA> 63
 
25.1%
1 5
 
2.0%
2 1
 
0.4%

Length

2024-04-29T21:44:05.790468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:05.887010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 182
72.5%
na 63
 
25.1%
1 5
 
2.0%
2 1
 
0.4%

객실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:06.014765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:06.107996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

건축연면적
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:06.207458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:06.298106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

영문상호명
Text

MISSING 

Distinct112
Distinct (%)100.0%
Missing139
Missing (%)55.4%
Memory size2.1 KiB
2024-04-29T21:44:06.549408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27.5
Mean length19.553571
Min length3

Characters and Unicode

Total characters2190
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

Unique112 ?
Unique (%)100.0%

Sample

1st rowILSUK YIJO YEOHAENG CLUB CO., LTD.
2nd rowKIM'S TOUR CO.LTD
3rd rowDAOL TAVEL CO., LTD
4th rowKME CO., LTD
5th rowKorea In Tour Co.,Ltd
ValueCountFrequency (%)
tour 52
 
14.5%
co.,ltd 39
 
10.9%
co 34
 
9.5%
ltd 34
 
9.5%
travel 13
 
3.6%
korea 5
 
1.4%
daegu 4
 
1.1%
express 4
 
1.1%
medi 4
 
1.1%
inc 3
 
0.8%
Other values (152) 166
46.4%
2024-04-29T21:44:06.986671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
11.3%
O 160
 
7.3%
T 155
 
7.1%
L 113
 
5.2%
C 104
 
4.7%
R 94
 
4.3%
. 93
 
4.2%
E 90
 
4.1%
D 86
 
3.9%
A 79
 
3.6%
Other values (51) 969
44.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1327
60.6%
Lowercase Letter 435
 
19.9%
Space Separator 247
 
11.3%
Other Punctuation 170
 
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 63
14.5%
r 42
9.7%
t 41
9.4%
a 40
9.2%
e 39
9.0%
d 28
 
6.4%
n 28
 
6.4%
u 25
 
5.7%
i 23
 
5.3%
c 16
 
3.7%
Other values (15) 90
20.7%
Uppercase Letter
ValueCountFrequency (%)
O 160
12.1%
T 155
11.7%
L 113
 
8.5%
C 104
 
7.8%
R 94
 
7.1%
E 90
 
6.8%
D 86
 
6.5%
A 79
 
6.0%
U 78
 
5.9%
N 59
 
4.4%
Other values (14) 309
23.3%
Other Punctuation
ValueCountFrequency (%)
. 93
54.7%
, 70
41.2%
& 6
 
3.5%
' 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
247
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 1762
80.5%
Common 428
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 160
 
9.1%
T 155
 
8.8%
L 113
 
6.4%
C 104
 
5.9%
R 94
 
5.3%
E 90
 
5.1%
D 86
 
4.9%
A 79
 
4.5%
U 78
 
4.4%
o 63
 
3.6%
Other values (39) 740
42.0%
Common
ValueCountFrequency (%)
247
57.7%
. 93
 
21.7%
, 70
 
16.4%
& 6
 
1.4%
- 3
 
0.7%
( 2
 
0.5%
) 2
 
0.5%
' 1
 
0.2%
1
 
0.2%
2 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
 
11.3%
O 160
 
7.3%
T 155
 
7.1%
L 113
 
5.2%
C 104
 
4.7%
R 94
 
4.3%
. 93
 
4.2%
E 90
 
4.1%
D 86
 
3.9%
A 79
 
3.6%
Other values (51) 969
44.2%

영문상호주소
Categorical

IMBALANCE 

Distinct18
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
139 
General travel business
73 
General Travel Agency
15 
Inbound Travel business
 
5
Inbound Travel Agency
 
3
Other values (13)
16 

Length

Max length33
Median length4
Mean length12.36255
Min length4

Unique

Unique11 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
55.4%
General travel business 73
29.1%
General Travel Agency 15
 
6.0%
Inbound Travel business 5
 
2.0%
Inbound Travel Agency 3
 
1.2%
Comprehensive travel business 3
 
1.2%
General Travel Business 2
 
0.8%
Inbound Travel Agent 1
 
0.4%
Inbound travel business 1
 
0.4%
Domestic travel business 1
 
0.4%
Other values (8) 8
 
3.2%

Length

2024-04-29T21:44:07.128031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 139
29.2%
travel 111
23.3%
general 94
19.7%
business 88
18.5%
agency 20
 
4.2%
inbound 11
 
2.3%
comprehensive 3
 
0.6%
agent 2
 
0.4%
domestic 2
 
0.4%
the 1
 
0.2%
Other values (5) 5
 
1.1%

선박총톤수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:07.268744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:07.372386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

선박척수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:07.480492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:07.586087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:07.683451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:07.781919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

좌석수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:07.880592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:07.968326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:08.070043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:08.163194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)18.6%
Missing52
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean106.9493
Minimum0
Maximum17749
Zeros160
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:08.259654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile101.637
Maximum17749
Range17749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1258.3882
Coefficient of variation (CV)11.766213
Kurtosis198.06402
Mean106.9493
Median Absolute Deviation (MAD)0
Skewness14.057889
Sum21282.91
Variance1583540.8
MonotonicityNot monotonic
2024-04-29T21:44:08.385706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 160
63.7%
20.0 3
 
1.2%
66.11 2
 
0.8%
27.25 1
 
0.4%
600.0 1
 
0.4%
96.35 1
 
0.4%
116.37 1
 
0.4%
39.51 1
 
0.4%
376.0 1
 
0.4%
83.0 1
 
0.4%
Other values (27) 27
 
10.8%
(Missing) 52
 
20.7%
ValueCountFrequency (%)
0.0 160
63.7%
4.0 1
 
0.4%
6.61 1
 
0.4%
16.5 1
 
0.4%
20.0 3
 
1.2%
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%
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 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
185 
<NA>
66 

Length

Max length4
Median length1
Mean length1.7888446
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 185
73.7%
<NA> 66
 
26.3%

Length

2024-04-29T21:44:08.512938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:08.620944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 185
73.7%
na 66
 
26.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
250 
20231102
 
1

Length

Max length8
Median length4
Mean length4.0159363
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 250
99.6%
20231102 1
 
0.4%

Length

2024-04-29T21:44:08.728401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:08.820587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 250
99.6%
20231102 1
 
0.4%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
250 
20241101
 
1

Length

Max length8
Median length4
Mean length4.0159363
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 250
99.6%
20241101 1
 
0.4%

Length

2024-04-29T21:44:08.920766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:44:09.011738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 250
99.6%
20241101 1
 
0.4%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)20.6%
Missing8
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean2.291749 × 108
Minimum0
Maximum1.7555271 × 1010
Zeros51
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:09.105765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.1397162 × 109
Coefficient of variation (CV)4.9731282
Kurtosis223.24461
Mean2.291749 × 108
Median Absolute Deviation (MAD)1 × 108
Skewness14.667991
Sum5.5689501 × 1010
Variance1.2989529 × 1018
MonotonicityNot monotonic
2024-04-29T21:44:09.467023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
20.3%
200000000 50
19.9%
100000000 43
17.1%
50000000 35
13.9%
300000000 7
 
2.8%
350000000 7
 
2.8%
500000000 4
 
1.6%
150000000 3
 
1.2%
250000000 2
 
0.8%
201000000 1
 
0.4%
Other values (40) 40
15.9%
(Missing) 8
 
3.2%
ValueCountFrequency (%)
0 51
20.3%
50000000 35
13.9%
50001316 1
 
0.4%
50763792 1
 
0.4%
51000000 1
 
0.4%
57498000 1
 
0.4%
66000000 1
 
0.4%
72639424 1
 
0.4%
91418784 1
 
0.4%
100000000 43
17.1%
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 4
1.6%

보험시작일자
Real number (ℝ)

MISSING 

Distinct200
Distinct (%)93.0%
Missing36
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean20210806
Minimum20100517
Maximum20240328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:09.601954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20150998
Q120200618
median20220624
Q320230604
95-th percentile20240212
Maximum20240328
Range139811
Interquartile range (IQR)29987

Descriptive statistics

Standard deviation29009.294
Coefficient of variation (CV)0.0014353358
Kurtosis2.0192935
Mean20210806
Median Absolute Deviation (MAD)10198
Skewness-1.5454033
Sum4.3453233 × 109
Variance8.4153911 × 108
MonotonicityNot monotonic
2024-04-29T21:44:09.733613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230425 3
 
1.2%
20210601 2
 
0.8%
20230303 2
 
0.8%
20220610 2
 
0.8%
20230101 2
 
0.8%
20220609 2
 
0.8%
20221116 2
 
0.8%
20200830 2
 
0.8%
20230401 2
 
0.8%
20230817 2
 
0.8%
Other values (190) 194
77.3%
(Missing) 36
 
14.3%
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 (%)
20240328 1
0.4%
20240327 1
0.4%
20240325 1
0.4%
20240323 1
0.4%
20240321 1
0.4%
20240306 1
0.4%
20240302 2
0.8%
20240227 1
0.4%
20240216 1
0.4%
20240214 1
0.4%

보험종료일자
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)91.6%
Missing36
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean20221226
Minimum20110517
Maximum20260308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:09.879070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110517
5-th percentile20160997
Q120210616
median20230718
Q320240668
95-th percentile20250218
Maximum20260308
Range149791
Interquartile range (IQR)30051.5

Descriptive statistics

Standard deviation29205.45
Coefficient of variation (CV)0.0014442967
Kurtosis1.995173
Mean20221226
Median Absolute Deviation (MAD)10186
Skewness-1.5410493
Sum4.3475635 × 109
Variance8.5295831 × 108
MonotonicityNot monotonic
2024-04-29T21:44:10.017726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220617 3
 
1.2%
20240424 3
 
1.2%
20240817 2
 
0.8%
20250215 2
 
0.8%
20230610 2
 
0.8%
20240301 2
 
0.8%
20240517 2
 
0.8%
20230609 2
 
0.8%
20231116 2
 
0.8%
20240808 2
 
0.8%
Other values (187) 193
76.9%
(Missing) 36
 
14.3%
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%
20250327 1
0.4%
20250326 1
0.4%
20250324 1
0.4%
20250323 1
0.4%
20250321 1
0.4%
20250306 1
0.4%
20250302 1
0.4%
20250301 1
0.4%
20250228 1
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)17.1%
Missing52
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean106.94975
Minimum0
Maximum17749
Zeros160
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-29T21:44:10.133799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile101.6
Maximum17749
Range17749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1258.388
Coefficient of variation (CV)11.766161
Kurtosis198.06413
Mean106.94975
Median Absolute Deviation (MAD)0
Skewness14.057894
Sum21283
Variance1583540.3
MonotonicityNot monotonic
2024-04-29T21:44:10.254435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 160
63.7%
66 3
 
1.2%
20 3
 
1.2%
86 2
 
0.8%
70 2
 
0.8%
600 1
 
0.4%
116 1
 
0.4%
40 1
 
0.4%
376 1
 
0.4%
83 1
 
0.4%
Other values (24) 24
 
9.6%
(Missing) 52
 
20.7%
ValueCountFrequency (%)
0 160
63.7%
4 1
 
0.4%
7 1
 
0.4%
17 1
 
0.4%
20 3
 
1.2%
23 1
 
0.4%
24 1
 
0.4%
27 1
 
0.4%
33 1
 
0.4%
34 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_P3410000CDFI22600420110000042011-11-25<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-9700<NA><NA>대구광역시 중구 동인동3가 369-5번지 신세계통신 101호대구광역시 중구 태평로 296, 신세계통신 101호 (동인동3가)41906(주)일석이조 여행클럽2020-04-14 13:14:02U2020-04-16 02:40:00<NA>345304.400297264849.327173종합여행업<NA><NA><NA><NA><NA>서울보증보험 504-81-97326<NA><NA><NA><NA><NA>ILSUK YIJO YEOHAENG CLUB CO., LTD.General travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002019073120200730<NA><NA>
12종합여행업03_12_03_P3410000CDFI22600420200000082017-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA>053-742-2323<NA><NA>대구광역시 중구 북성로1가 6-1 대구스테이션센터, 12층 B01호대구광역시 중구 태평로 160, 대구스테이션센터 12층 B01호 (북성로1가)41910주식회사킴스투어2022-07-13 13:52:57U2022-07-15 02:40:00<NA>343991.737064265000.0215종합여행업<NA><NA>0<NA><NA>서울보증보험 735-86-00702<NA>0000KIM'S TOUR CO.LTDGeneral travel business00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1000000002020061920210618<NA>0
23종합여행업03_12_03_P3410000CDFI22600420220000082022-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7614-7570<NA><NA>대구광역시 중구 삼덕동2가 210-1 진석타워 1311호대구광역시 중구 동덕로 115, 진석타워 1311호 (삼덕동2가)41940투어마켓2023-03-03 14:38:06U2023-03-05 02:40:00<NA>344686.259338263958.880864종합여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02022120520231204<NA>0
34종합여행업03_12_03_P3410000CDFI22600420230000012023-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>1811-8335<NA><NA>대구광역시 중구 대봉동 20-35대구광역시 중구 달구벌대로 2204 (대봉동)41951(주)픽쇼코리아2023-01-09 17:22:21I2023-01-11 00:41:15<NA>344834.917521263682.783428종합여행업<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_P3410000CDFI22600420210000012014-06-25<NA>1영업/정상13영업중<NA><NA><NA><NA>053-557-0700<NA><NA>대구광역시 중구 삼덕동2가 210-1 진석타워대구광역시 중구 동덕로 115, 진석타워 1508호 (삼덕동2가)41940(주)다올여행사2021-06-23 15:57:05I2021-06-25 00:22:54<NA>344686.259338263958.880864종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA>DAOL TAVEL CO., LTDGeneral travel business<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2050000002020100120210930<NA><NA>
56종합여행업03_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 여행사2024-03-13 10:37:49U2024-03-16 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>02023082220240822<NA>0
67종합여행업03_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
78종합여행업03_12_03_P3410000CDFI22600420220000052022-08-05<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-1433<NA><NA>대구광역시 중구 북성로1가 82-2 한성빌딩대구광역시 중구 중앙대로 462, 한성빌딩 지하1층 (북성로1가)41909(주)이케이티2024-03-29 09:15:12U2024-03-31 02:40:00<NA>343960.811871264947.507125종합여행업<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
89종합여행업03_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
910종합여행업03_12_03_P3410000CDFI22600420230000092023-12-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동1가 238-1대구광역시 중구 경상감영길 275, 1층 (동인동1가)41911모든여행2023-12-18 15:07:00I2023-12-20 00:16:43<NA>344643.136454264628.838876종합여행업<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
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
241242종합여행업03_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
242243종합여행업03_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
243244종합여행업03_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
244245종합여행업03_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
245246종합여행업03_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
246247종합여행업03_12_03_P3480000CDFI22600420170000022015-11-02<NA>4취소/말소/만료/정지/중지35직권말소2024-01-12<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 명곡리 220 명곡역미래빌5단지(상가동) 201호대구광역시 달성군 화원읍 명천로 243, 상가동 2층 201호 (명곡역미래빌5단지)42960주식회사 여행트렁크2024-01-16 10:43:33U2024-01-18 02:40:00<NA>334873.400609256334.726827종합여행업<NA><NA>0<NA><NA>서울보증보험<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>2000000002015111620161115<NA>0
247248종합여행업03_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>
248249종합여행업03_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
249250종합여행업03_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
250251종합여행업03_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