Overview

Dataset statistics

Number of variables63
Number of observations186
Missing cells5476
Missing cells (%)46.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.0 KiB
Average record size in memory539.7 B

Variable types

Numeric7
Categorical37
Unsupported15
Boolean4

Dataset

Description23년06월_6270000_대구광역시_03_07_08_P_유원시설업(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098782&dataSetDetailId=DDI_0000098778&provdMethod=FILE

Alerts

개방서비스명 has constant value "유원시설업(기타)"Constant
개방서비스아이디 has constant value "03_07_08_P"Constant
문화체육업종명 has constant value "신고유원시설업"Constant
문화사업자구분명 has constant value "유원시설업"Constant
주변환경명 has constant value "기타"Constant
관리번호 has a high cardinality: 59 distinct valuesHigh cardinality
인허가일자 has a high cardinality: 165 distinct valuesHigh cardinality
폐업일자 has a high cardinality: 98 distinct valuesHigh cardinality
소재지전화 has a high cardinality: 77 distinct valuesHigh cardinality
소재지전체주소 has a high cardinality: 170 distinct valuesHigh cardinality
도로명전체주소 has a high cardinality: 171 distinct valuesHigh cardinality
도로명우편번호 has a high cardinality: 110 distinct valuesHigh cardinality
사업장명 has a high cardinality: 180 distinct valuesHigh cardinality
최종수정시점 has a high cardinality: 186 distinct valuesHigh cardinality
데이터갱신일자 has a high cardinality: 112 distinct valuesHigh cardinality
총층수 is highly imbalanced (50.6%)Imbalance
지상층수 is highly imbalanced (58.8%)Imbalance
인허가취소일자 has 186 (100.0%) missing valuesMissing
폐업일자 has 78 (41.9%) missing valuesMissing
휴업시작일자 has 182 (97.8%) missing valuesMissing
휴업종료일자 has 182 (97.8%) missing valuesMissing
재개업일자 has 186 (100.0%) missing valuesMissing
소재지전화 has 104 (55.9%) missing valuesMissing
소재지면적 has 186 (100.0%) missing valuesMissing
소재지우편번호 has 166 (89.2%) missing valuesMissing
도로명전체주소 has 10 (5.4%) missing valuesMissing
도로명우편번호 has 13 (7.0%) missing valuesMissing
업태구분명 has 186 (100.0%) missing valuesMissing
문화사업자구분명 has 183 (98.4%) missing valuesMissing
지역구분명 has 171 (91.9%) missing valuesMissing
주변환경명 has 183 (98.4%) missing valuesMissing
제작취급품목내용 has 186 (100.0%) missing valuesMissing
보험기관명 has 186 (100.0%) missing valuesMissing
건물용도명 has 175 (94.1%) missing valuesMissing
영문상호명 has 186 (100.0%) missing valuesMissing
영문상호주소 has 186 (100.0%) missing valuesMissing
선박제원 has 186 (100.0%) missing valuesMissing
기념품종류 has 186 (100.0%) missing valuesMissing
시설면적 has 123 (66.1%) missing valuesMissing
놀이기구수내역 has 156 (83.9%) missing valuesMissing
놀이시설수 has 107 (57.5%) missing valuesMissing
방송시설유무 has 182 (97.8%) missing valuesMissing
발전시설유무 has 183 (98.4%) missing valuesMissing
의무실유무 has 182 (97.8%) missing valuesMissing
안내소유무 has 181 (97.3%) missing valuesMissing
기획여행보험시작일자 has 186 (100.0%) missing valuesMissing
기획여행보험종료일자 has 186 (100.0%) missing valuesMissing
보험시작일자 has 186 (100.0%) missing valuesMissing
보험종료일자 has 186 (100.0%) missing valuesMissing
부대시설내역 has 186 (100.0%) missing valuesMissing
시설규모 has 123 (66.1%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 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
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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 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
시설면적 has 45 (24.2%) zerosZeros
놀이시설수 has 37 (19.9%) zerosZeros
시설규모 has 45 (24.2%) zerosZeros

Reproduction

Analysis started2023-07-15 13:19:13.576921
Analysis finished2023-07-15 13:19:14.400970
Duration0.82 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.5
Minimum1
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:14.500066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.25
Q147.25
median93.5
Q3139.75
95-th percentile176.75
Maximum186
Range185
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation53.837719
Coefficient of variation (CV)0.57580448
Kurtosis-1.2
Mean93.5
Median Absolute Deviation (MAD)46.5
Skewness0
Sum17391
Variance2898.5
MonotonicityStrictly increasing
2023-07-15T22:19:14.960829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
11 1
 
0.5%
22 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
Other values (176) 176
94.6%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유원시설업(기타)
186 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유원시설업(기타)
2nd row유원시설업(기타)
3rd row유원시설업(기타)
4th row유원시설업(기타)
5th row유원시설업(기타)

Common Values

ValueCountFrequency (%)
유원시설업(기타) 186
100.0%

Length

2023-07-15T22:19:15.204562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:15.442454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 186
100.0%
Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
03_07_08_P
186 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_08_P
2nd row03_07_08_P
3rd row03_07_08_P
4th row03_07_08_P
5th row03_07_08_P

Common Values

ValueCountFrequency (%)
03_07_08_P 186
100.0%

Length

2023-07-15T22:19:15.661793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:15.887208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 186
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447150.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:16.039873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23387.428
Coefficient of variation (CV)0.0067845684
Kurtosis-1.1800674
Mean3447150.5
Median Absolute Deviation (MAD)20000
Skewness-0.32278851
Sum6.4117 × 108
Variance5.4697181 × 108
MonotonicityIncreasing
2023-07-15T22:19:16.196389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 50
26.9%
3470000 29
15.6%
3410000 27
14.5%
3420000 26
14.0%
3460000 23
12.4%
3480000 22
11.8%
3430000 5
 
2.7%
3440000 4
 
2.2%
ValueCountFrequency (%)
3410000 27
14.5%
3420000 26
14.0%
3430000 5
 
2.7%
3440000 4
 
2.2%
3450000 50
26.9%
3460000 23
12.4%
3470000 29
15.6%
3480000 22
11.8%
ValueCountFrequency (%)
3480000 22
11.8%
3470000 29
15.6%
3460000 23
12.4%
3450000 50
26.9%
3440000 4
 
2.2%
3430000 5
 
2.7%
3420000 26
14.0%
3410000 27
14.5%

관리번호
Categorical

Distinct59
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
CDFI5272002016000001
 
8
CDFI5272002017000001
 
7
CDFI5272002016000002
 
7
CDFI5272002017000002
 
6
CDFI5272002018000001
 
6
Other values (54)
152 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique18 ?
Unique (%)9.7%

Sample

1st rowCDFI5272002007000001
2nd rowCDFI5272002016000007
3rd rowCDFI5272002016000001
4th rowCDFI5272002016000002
5th rowCDFI5272002016000003

Common Values

ValueCountFrequency (%)
CDFI5272002016000001 8
 
4.3%
CDFI5272002017000001 7
 
3.8%
CDFI5272002016000002 7
 
3.8%
CDFI5272002017000002 6
 
3.2%
CDFI5272002018000001 6
 
3.2%
CDFI5272002016000003 6
 
3.2%
CDFI5272002021000001 6
 
3.2%
CDFI5272002019000002 6
 
3.2%
CDFI5272002019000001 6
 
3.2%
CDFI5272002019000003 6
 
3.2%
Other values (49) 122
65.6%

Length

2023-07-15T22:19:16.409876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi5272002016000001 8
 
4.3%
cdfi5272002016000002 7
 
3.8%
cdfi5272002017000001 7
 
3.8%
cdfi5272002017000002 6
 
3.2%
cdfi5272002018000001 6
 
3.2%
cdfi5272002016000003 6
 
3.2%
cdfi5272002021000001 6
 
3.2%
cdfi5272002019000002 6
 
3.2%
cdfi5272002019000001 6
 
3.2%
cdfi5272002019000003 6
 
3.2%
Other values (49) 122
65.6%

인허가일자
Categorical

Distinct165
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2019-12-20
 
4
2016-10-28
 
3
2019-07-29
 
2
2016-07-18
 
2
2021-01-14
 
2
Other values (160)
173 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique147 ?
Unique (%)79.0%

Sample

1st row2007-06-13
2nd row2016-09-30
3rd row2016-02-02
4th row2016-07-14
5th row2016-07-18

Common Values

ValueCountFrequency (%)
2019-12-20 4
 
2.2%
2016-10-28 3
 
1.6%
2019-07-29 2
 
1.1%
2016-07-18 2
 
1.1%
2021-01-14 2
 
1.1%
2016-10-06 2
 
1.1%
2019-07-08 2
 
1.1%
2019-08-30 2
 
1.1%
2019-12-04 2
 
1.1%
2016-09-13 2
 
1.1%
Other values (155) 163
87.6%

Length

2023-07-15T22:19:16.598751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-12-20 4
 
2.2%
2016-10-28 3
 
1.6%
2016-02-15 2
 
1.1%
2017-12-18 2
 
1.1%
2019-07-25 2
 
1.1%
2016-12-14 2
 
1.1%
2019-08-07 2
 
1.1%
2019-05-29 2
 
1.1%
2016-08-31 2
 
1.1%
2017-11-02 2
 
1.1%
Other values (155) 163
87.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
114 
1
68 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 114
61.3%
1 68
36.6%
2 4
 
2.2%

Length

2023-07-15T22:19:16.777624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:16.965997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 114
61.3%
1 68
36.6%
2 4
 
2.2%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
114 
영업/정상
68 
휴업
 
4

Length

Max length5
Median length2
Mean length3.0967742
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 114
61.3%
영업/정상 68
36.6%
휴업 4
 
2.2%

Length

2023-07-15T22:19:17.174397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:17.430096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 114
61.3%
영업/정상 68
36.6%
휴업 4
 
2.2%
Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
112 
13
68 
2
 
4
34
 
2

Length

Max length2
Median length1
Mean length1.3763441
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row34
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 112
60.2%
13 68
36.6%
2 4
 
2.2%
34 2
 
1.1%

Length

2023-07-15T22:19:17.625450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:17.931155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 112
60.2%
13 68
36.6%
2 4
 
2.2%
34 2
 
1.1%
Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
112 
영업중
68 
휴업
 
4
영업장폐쇄
 
2

Length

Max length5
Median length2
Mean length2.3978495
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업장폐쇄
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 112
60.2%
영업중 68
36.6%
휴업 4
 
2.2%
영업장폐쇄 2
 
1.1%

Length

2023-07-15T22:19:18.125234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:18.378027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 112
60.2%
영업중 68
36.6%
휴업 4
 
2.2%
영업장폐쇄 2
 
1.1%

폐업일자
Categorical

HIGH CARDINALITY  MISSING 

Distinct98
Distinct (%)90.7%
Missing78
Missing (%)41.9%
Memory size1.6 KiB
2017-12-29
 
4
2019-08-18
 
3
2019-01-29
 
2
2017-08-20
 
2
2018-01-03
 
2
Other values (93)
95 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique91 ?
Unique (%)84.3%

Sample

1st row2011-01-04
2nd row2019-02-11
3rd row2020-06-30
4th row2021-07-29
5th row2016-09-12

Common Values

ValueCountFrequency (%)
2017-12-29 4
 
2.2%
2019-08-18 3
 
1.6%
2019-01-29 2
 
1.1%
2017-08-20 2
 
1.1%
2018-01-03 2
 
1.1%
2018-08-20 2
 
1.1%
2020-03-31 2
 
1.1%
2022-08-31 1
 
0.5%
2018-10-16 1
 
0.5%
2017-11-29 1
 
0.5%
Other values (88) 88
47.3%
(Missing) 78
41.9%

Length

2023-07-15T22:19:18.569339image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-12-29 4
 
3.7%
2019-08-18 3
 
2.8%
2019-01-29 2
 
1.9%
2017-08-20 2
 
1.9%
2018-01-03 2
 
1.9%
2018-08-20 2
 
1.9%
2020-03-31 2
 
1.9%
2016-10-17 1
 
0.9%
2022-01-20 1
 
0.9%
2018-05-17 1
 
0.9%
Other values (88) 88
81.5%
Distinct4
Distinct (%)100.0%
Missing182
Missing (%)97.8%
Memory size1.6 KiB
2020-12-28
2023-01-01
2022-08-01
2021-03-01

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row2020-12-28
2nd row2023-01-01
3rd row2022-08-01
4th row2021-03-01

Common Values

ValueCountFrequency (%)
2020-12-28 1
 
0.5%
2023-01-01 1
 
0.5%
2022-08-01 1
 
0.5%
2021-03-01 1
 
0.5%
(Missing) 182
97.8%

Length

2023-07-15T22:19:18.769338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:19.010373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-28 1
25.0%
2023-01-01 1
25.0%
2022-08-01 1
25.0%
2021-03-01 1
25.0%
Distinct4
Distinct (%)100.0%
Missing182
Missing (%)97.8%
Memory size1.6 KiB
2023-12-28
2023-12-31
2023-07-31
2021-03-19

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row2023-12-28
2nd row2023-12-31
3rd row2023-07-31
4th row2021-03-19

Common Values

ValueCountFrequency (%)
2023-12-28 1
 
0.5%
2023-12-31 1
 
0.5%
2023-07-31 1
 
0.5%
2021-03-19 1
 
0.5%
(Missing) 182
97.8%

Length

2023-07-15T22:19:19.259392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:19.579704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-28 1
25.0%
2023-12-31 1
25.0%
2023-07-31 1
25.0%
2021-03-19 1
25.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

소재지전화
Categorical

HIGH CARDINALITY  MISSING 

Distinct77
Distinct (%)93.9%
Missing104
Missing (%)55.9%
Memory size1.6 KiB
053-476-9912
 
3
053-476-9915
 
2
053-382-7979
 
2
02-333-8334
 
2
053-665-1234
 
1
Other values (72)
72 

Length

Max length19
Median length12
Mean length11.609756
Min length7

Unique

Unique73 ?
Unique (%)89.0%

Sample

1st row053-476-9912
2nd row053-245-2610
3rd row053-476-9915
4th row0532540126
5th row053-476-9915

Common Values

ValueCountFrequency (%)
053-476-9912 3
 
1.6%
053-476-9915 2
 
1.1%
053-382-7979 2
 
1.1%
02-333-8334 2
 
1.1%
053-665-1234 1
 
0.5%
0532540126 1
 
0.5%
053-603-1001 1
 
0.5%
053-219-7907 1
 
0.5%
053-423-0127 1
 
0.5%
1670-1939 1
 
0.5%
Other values (67) 67
36.0%
(Missing) 104
55.9%

Length

2023-07-15T22:19:19.876083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053-476-9912 3
 
3.7%
053-382-7979 2
 
2.4%
02-333-8334 2
 
2.4%
053-476-9915 2
 
2.4%
0537193773/85921507 1
 
1.2%
053-637-8501 1
 
1.2%
053-667-2000 1
 
1.2%
0536672000 1
 
1.2%
053-553-1030 1
 
1.2%
588-1288 1
 
1.2%
Other values (67) 67
81.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB
Distinct18
Distinct (%)90.0%
Missing166
Missing (%)89.2%
Memory size1.6 KiB
702-712
701-170
702-062
 
1
700-431
 
1
701-024
 
1
Other values (13)
13 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st row700-191
2nd row700-431
3rd row701-024
4th row701-170
5th row701-170

Common Values

ValueCountFrequency (%)
702-712 2
 
1.1%
701-170 2
 
1.1%
702-062 1
 
0.5%
700-431 1
 
0.5%
701-024 1
 
0.5%
703-850 1
 
0.5%
705-805 1
 
0.5%
705-808 1
 
0.5%
702-849 1
 
0.5%
706-813 1
 
0.5%
Other values (8) 8
 
4.3%
(Missing) 166
89.2%

Length

2023-07-15T22:19:20.135892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
702-712 2
 
10.0%
701-170 2
 
10.0%
700-191 1
 
5.0%
702-885 1
 
5.0%
711-839 1
 
5.0%
711-821 1
 
5.0%
704-806 1
 
5.0%
704-060 1
 
5.0%
706-130 1
 
5.0%
706-813 1
 
5.0%
Other values (8) 8
40.0%
Distinct170
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
대구광역시 북구 산격동 1676 대구전시컨벤션센터
 
3
대구광역시 중구 대봉동 655-1번지
 
3
대구광역시 달성군 가창면 용계리 534-1번지 대구숲
 
2
대구광역시 수성구 대흥동 504 대구스타디움몰
 
2
대구광역시 동구 검사동 908-5 홈플러스 동촌점 1층
 
2
Other values (165)
174 

Length

Max length82
Median length37
Mean length24.494624
Min length13

Unique

Unique156 ?
Unique (%)83.9%

Sample

1st row대구광역시 중구 종로1가 29-4번지
2nd row대구광역시 중구 삼덕동1가 18-11
3rd row대구광역시 중구 삼덕동1가 18-24
4th row대구광역시 중구 남일동 65-1
5th row대구광역시 중구 대봉동 655-1 (생활체육광장내)

Common Values

ValueCountFrequency (%)
대구광역시 북구 산격동 1676 대구전시컨벤션센터 3
 
1.6%
대구광역시 중구 대봉동 655-1번지 3
 
1.6%
대구광역시 달성군 가창면 용계리 534-1번지 대구숲 2
 
1.1%
대구광역시 수성구 대흥동 504 대구스타디움몰 2
 
1.1%
대구광역시 동구 검사동 908-5 홈플러스 동촌점 1층 2
 
1.1%
대구광역시 북구 칠성동2가 378-21 Homeplus 대구칠성점 2
 
1.1%
대구광역시 북구 칠성동2가 20-1 스펙트럼시티 2
 
1.1%
대구광역시 달서구 상인동 171-1번지 상인 대성 스카이렉스 2
 
1.1%
대구광역시 동구 신서동 520-1 이마트 반야월점 2
 
1.1%
대구광역시 달성군 가창면 냉천리 27-9 2
 
1.1%
Other values (160) 164
88.2%

Length

2023-07-15T22:19:20.455760image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 184
 
20.7%
북구 48
 
5.4%
달서구 29
 
3.3%
중구 27
 
3.0%
동구 26
 
2.9%
수성구 23
 
2.6%
달성군 22
 
2.5%
동천동 14
 
1.6%
산격동 10
 
1.1%
다사읍 8
 
0.9%
Other values (330) 497
56.0%

도로명전체주소
Categorical

HIGH CARDINALITY  MISSING 

Distinct171
Distinct (%)97.2%
Missing10
Missing (%)5.4%
Memory size1.6 KiB
대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 (산격동)
 
2
대구광역시 달성군 가창면 가창로 891
 
2
대구광역시 달서구 당산로 176 (두류동)
 
2
대구광역시 동구 동촌로 127, 홈플러스 동촌점 1층 (검사동)
 
2
대구광역시 달성군 가창면 가창로 1003, 대구숲
 
2
Other values (166)
166 

Length

Max length68
Median length42
Mean length31.0625
Min length21

Unique

Unique166 ?
Unique (%)94.3%

Sample

1st row대구광역시 중구 국채보상로 547 (종로1가)
2nd row대구광역시 중구 동성로5길 41, 1층 (삼덕동1가)
3rd row대구광역시 중구 동성로5길 55, 지하1층 (삼덕동1가)
4th row대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)
5th row대구광역시 중구 동성로5길 75, 1층 (삼덕동1가)

Common Values

ValueCountFrequency (%)
대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 (산격동) 2
 
1.1%
대구광역시 달성군 가창면 가창로 891 2
 
1.1%
대구광역시 달서구 당산로 176 (두류동) 2
 
1.1%
대구광역시 동구 동촌로 127, 홈플러스 동촌점 1층 (검사동) 2
 
1.1%
대구광역시 달성군 가창면 가창로 1003, 대구숲 2
 
1.1%
대구광역시 중구 동성로3길 62 (공평동) 1
 
0.5%
대구광역시 중구 동성로5길 55, 지하1층 (삼덕동1가) 1
 
0.5%
대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장) 1
 
0.5%
대구광역시 중구 동성로5길 75, 1층 (삼덕동1가) 1
 
0.5%
대구광역시 중구 동성로5길 84, 1층 (삼덕동1가) 1
 
0.5%
Other values (161) 161
86.6%
(Missing) 10
 
5.4%

Length

2023-07-15T22:19:20.778520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 174
 
15.6%
북구 45
 
4.0%
달서구 29
 
2.6%
동구 26
 
2.3%
수성구 22
 
2.0%
중구 22
 
2.0%
3층 21
 
1.9%
달성군 21
 
1.9%
1층 18
 
1.6%
4층 15
 
1.3%
Other values (408) 722
64.8%

도로명우편번호
Categorical

HIGH CARDINALITY  MISSING 

Distinct110
Distinct (%)63.6%
Missing13
Missing (%)7.0%
Memory size1.6 KiB
41423
 
8
42250
 
7
41941
 
7
42274
 
5
41515
 
4
Other values (105)
142 

Length

Max length7
Median length5
Mean length5.0809249
Min length5

Unique

Unique77 ?
Unique (%)44.5%

Sample

1st row41941
2nd row41941
3rd row41937
4th row41941
5th row41942

Common Values

ValueCountFrequency (%)
41423 8
 
4.3%
42250 7
 
3.8%
41941 7
 
3.8%
42274 5
 
2.7%
41515 4
 
2.2%
42941 4
 
2.2%
41229 4
 
2.2%
41586 3
 
1.6%
41422 3
 
1.6%
41938 3
 
1.6%
Other values (100) 125
67.2%
(Missing) 13
 
7.0%

Length

2023-07-15T22:19:21.015513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
41423 8
 
4.6%
41941 7
 
4.0%
42250 7
 
4.0%
42274 5
 
2.9%
41515 4
 
2.3%
42941 4
 
2.3%
41229 4
 
2.3%
41938 3
 
1.7%
41593 3
 
1.7%
41084 3
 
1.7%
Other values (100) 125
72.3%

사업장명
Categorical

Distinct180
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2020 맘편한 안전놀이터
 
2
화원동산 워터파크
 
2
크리드샷
 
2
화원동산 물놀이장
 
2
(주)에코플러스
 
2
Other values (175)
176 

Length

Max length20
Median length15
Mean length7.7043011
Min length2

Unique

Unique174 ?
Unique (%)93.5%

Sample

1st row에덴카니발
2nd row뽑아방
3rd row총형스포츠 홈런짱
4th row야사노 대구동성로점
5th row대구광역시 시설관리공단

Common Values

ValueCountFrequency (%)
2020 맘편한 안전놀이터 2
 
1.1%
화원동산 워터파크 2
 
1.1%
크리드샷 2
 
1.1%
화원동산 물놀이장 2
 
1.1%
(주)에코플러스 2
 
1.1%
리틀비틀 2
 
1.1%
토이게임장 1
 
0.5%
총형스포츠 홈런짱 1
 
0.5%
야사노 대구동성로점 1
 
0.5%
대구광역시 시설관리공단 1
 
0.5%
Other values (170) 170
91.4%

Length

2023-07-15T22:19:21.289124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물놀이장 7
 
2.5%
주식회사 6
 
2.1%
키즈카페 5
 
1.8%
화원동산 4
 
1.4%
스카이점핑랜드 4
 
1.4%
대구수성점 3
 
1.1%
맥스라이더 3
 
1.1%
대구점 3
 
1.1%
2020 2
 
0.7%
노리파크 2
 
0.7%
Other values (229) 244
86.2%

최종수정시점
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2011-01-05 09:22:16
 
1
2017-11-29 10:09:08
 
1
2020-02-12 13:32:49
 
1
2022-03-15 13:13:31
 
1
2020-06-30 10:52:41
 
1
Other values (181)
181 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique186 ?
Unique (%)100.0%

Sample

1st row2011-01-05 09:22:16
2nd row2019-02-11 10:25:02
3rd row2020-06-30 10:52:41
4th row2021-07-30 10:12:28
5th row2016-09-12 10:34:44

Common Values

ValueCountFrequency (%)
2011-01-05 09:22:16 1
 
0.5%
2017-11-29 10:09:08 1
 
0.5%
2020-02-12 13:32:49 1
 
0.5%
2022-03-15 13:13:31 1
 
0.5%
2020-06-30 10:52:41 1
 
0.5%
2021-07-30 10:12:28 1
 
0.5%
2016-09-12 10:34:44 1
 
0.5%
2018-09-19 09:34:23 1
 
0.5%
2018-11-02 09:54:38 1
 
0.5%
2023-02-09 10:25:12 1
 
0.5%
Other values (176) 176
94.6%

Length

2023-07-15T22:19:21.548232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-01-30 7
 
1.9%
2023-04-18 5
 
1.3%
2023-02-08 3
 
0.8%
2023-04-04 3
 
0.8%
2018-01-02 2
 
0.5%
2023-03-07 2
 
0.5%
2019-10-28 2
 
0.5%
2019-09-06 2
 
0.5%
2017-12-29 2
 
0.5%
2016-03-24 2
 
0.5%
Other values (333) 342
91.9%
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
U
119 
I
67 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 119
64.0%
I 67
36.0%

Length

2023-07-15T22:19:21.776567image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:22.046745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
u 119
64.0%
i 67
36.0%
Distinct112
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2018-08-31 23:59:59
54 
2023-02-01 02:40:00
 
7
2023-04-20 02:40:00
 
5
2023-02-10 02:40:00
 
3
2019-09-08 02:40:00
 
2
Other values (107)
115 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique99 ?
Unique (%)53.2%

Sample

1st row2018-08-31 23:59:59
2nd row2019-02-13 02:40:00
3rd row2020-07-02 02:40:00
4th row2021-08-01 02:40:00
5th row2018-08-31 23:59:59

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 54
29.0%
2023-02-01 02:40:00 7
 
3.8%
2023-04-20 02:40:00 5
 
2.7%
2023-02-10 02:40:00 3
 
1.6%
2019-09-08 02:40:00 2
 
1.1%
2023-04-06 02:40:00 2
 
1.1%
2023-03-09 02:40:00 2
 
1.1%
2019-06-21 02:40:00 2
 
1.1%
2022-02-17 02:40:00 2
 
1.1%
2021-03-28 02:40:00 2
 
1.1%
Other values (102) 105
56.5%

Length

2023-07-15T22:19:22.645011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00 111
29.8%
23:59:59 57
15.3%
2018-08-31 54
14.5%
2023-02-01 7
 
1.9%
2023-04-20 5
 
1.3%
2023-02-10 3
 
0.8%
2021-03-28 2
 
0.5%
2019-10-30 2
 
0.5%
00:23:27 2
 
0.5%
2019-12-06 2
 
0.5%
Other values (121) 127
34.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct151
Distinct (%)81.6%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean342857.87
Minimum211303.08
Maximum389194.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:22.900557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum211303.08
5-th percentile332226.86
Q1339618.37
median343911.36
Q3346807.09
95-th percentile354187.36
Maximum389194.1
Range177891.02
Interquartile range (IQR)7188.714

Descriptive statistics

Standard deviation11921.046
Coefficient of variation (CV)0.034769644
Kurtosis81.700932
Mean342857.87
Median Absolute Deviation (MAD)3590.6343
Skewness-7.0360042
Sum63428705
Variance1.4211134 × 108
MonotonicityNot monotonic
2023-07-15T22:19:23.149746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352335.045028381 7
 
3.8%
345549.110170479 5
 
2.7%
345144.121523599 5
 
2.7%
347037.241970286 3
 
1.6%
343510.573192364 3
 
1.6%
355939.362329351 3
 
1.6%
346876.099777909 2
 
1.1%
340320.722709596 2
 
1.1%
338508.039690504 2
 
1.1%
349426.805402323 2
 
1.1%
Other values (141) 151
81.2%
ValueCountFrequency (%)
211303.084885447 1
0.5%
328075.737316967 1
0.5%
328325.875377771 1
0.5%
330329.375724914 1
0.5%
330334.179214972 1
0.5%
330725.352099025 1
0.5%
331673.04415855 1
0.5%
332182.055596217 1
0.5%
332211.021477461 1
0.5%
332220.06418694 1
0.5%
ValueCountFrequency (%)
389194.104289201 1
 
0.5%
355939.362329351 3
1.6%
355855.955513013 1
 
0.5%
355761.750376171 1
 
0.5%
354753.46990822 1
 
0.5%
354561.70358286 1
 
0.5%
354219.069618441 1
 
0.5%
354187.632432412 1
 
0.5%
354186.29490617 1
 
0.5%
354141.449476213 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct151
Distinct (%)81.6%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean263496.67
Minimum190807.09
Maximum272735.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:23.431110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum190807.09
5-th percentile257025.61
Q1261147.07
median264160.33
Q3266134.26
95-th percentile272538.3
Maximum272735.68
Range81928.583
Interquartile range (IQR)4987.1946

Descriptive statistics

Standard deviation7202.2829
Coefficient of variation (CV)0.027333488
Kurtosis56.444845
Mean263496.67
Median Absolute Deviation (MAD)2643.4036
Skewness-5.7845397
Sum48746883
Variance51872879
MonotonicityNot monotonic
2023-07-15T22:19:23.681519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260158.750203679 7
 
3.8%
268620.845678103 5
 
2.7%
263145.38641925 5
 
2.7%
265407.404336831 3
 
1.6%
266134.259920881 3
 
1.6%
264777.243597576 3
 
1.6%
255998.649989061 2
 
1.1%
272735.675659876 2
 
1.1%
258645.860959228 2
 
1.1%
266377.854783573 2
 
1.1%
Other values (141) 151
81.2%
ValueCountFrequency (%)
190807.093033573 1
0.5%
240496.083286429 1
0.5%
244351.176373244 1
0.5%
254527.243473422 1
0.5%
254575.952264305 1
0.5%
255360.475912095 2
1.1%
255998.649989061 2
1.1%
256882.851070377 1
0.5%
257596.654862013 1
0.5%
257925.256214078 2
1.1%
ValueCountFrequency (%)
272735.675659876 2
1.1%
272659.975074019 1
0.5%
272648.099804965 1
0.5%
272615.482385513 1
0.5%
272576.782877787 1
0.5%
272570.139180315 1
0.5%
272547.266998477 1
0.5%
272540.517024906 2
1.1%
272529.412924783 1
0.5%
272501.710869454 1
0.5%
Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
신고유원시설업
186 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 186
100.0%

Length

2023-07-15T22:19:23.932899image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:24.172208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 186
100.0%

문화사업자구분명
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)33.3%
Missing183
Missing (%)98.4%
Memory size1.6 KiB
유원시설업

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유원시설업
2nd row유원시설업
3rd row유원시설업

Common Values

ValueCountFrequency (%)
유원시설업 3
 
1.6%
(Missing) 183
98.4%

Length

2023-07-15T22:19:24.365927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:24.585925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업 3
100.0%

지역구분명
Categorical

Distinct6
Distinct (%)40.0%
Missing171
Missing (%)91.9%
Memory size1.6 KiB
일반주거지역
중심상업지역
자연녹지지역
상업지역
일반상업지역

Length

Max length6
Median length6
Mean length5.8666667
Min length4

Unique

Unique3 ?
Unique (%)20.0%

Sample

1st row중심상업지역
2nd row중심상업지역
3rd row상업지역
4th row자연녹지지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
일반주거지역 6
 
3.2%
중심상업지역 4
 
2.2%
자연녹지지역 2
 
1.1%
상업지역 1
 
0.5%
일반상업지역 1
 
0.5%
근린상업지역 1
 
0.5%
(Missing) 171
91.9%

Length

2023-07-15T22:19:24.784606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:25.056646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
일반주거지역 6
40.0%
중심상업지역 4
26.7%
자연녹지지역 2
 
13.3%
상업지역 1
 
6.7%
일반상업지역 1
 
6.7%
근린상업지역 1
 
6.7%

총층수
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
53 
4
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.0967742
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
69.9%
0 53
28.5%
4 2
 
1.1%
2 1
 
0.5%

Length

2023-07-15T22:19:25.292865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:25.537860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 130
69.9%
0 53
28.5%
4 2
 
1.1%
2 1
 
0.5%

주변환경명
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)33.3%
Missing183
Missing (%)98.4%
Memory size1.6 KiB
기타

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row기타

Common Values

ValueCountFrequency (%)
기타 3
 
1.6%
(Missing) 183
98.4%

Length

2023-07-15T22:19:25.741051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:25.966855image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
기타 3
100.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

건물용도명
Categorical

Distinct3
Distinct (%)27.3%
Missing175
Missing (%)94.1%
Memory size1.6 KiB
근린생활시설
유기장
기타

Length

Max length6
Median length6
Mean length5.0909091
Min length2

Unique

Unique1 ?
Unique (%)9.1%

Sample

1st row유기장
2nd row근린생활시설
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설

Common Values

ValueCountFrequency (%)
근린생활시설 8
 
4.3%
유기장 2
 
1.1%
기타 1
 
0.5%
(Missing) 175
94.1%

Length

2023-07-15T22:19:26.176218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:26.459641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 8
72.7%
유기장 2
 
18.2%
기타 1
 
9.1%

지상층수
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
130 
0
51 
3
 
2
6
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.0967742
Min length1

Unique

Unique3 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
69.9%
0 51
 
27.4%
3 2
 
1.1%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%

Length

2023-07-15T22:19:26.669154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:26.946703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 130
69.9%
0 51
 
27.4%
3 2
 
1.1%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%

지하층수
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
129 
0
54 
1
 
3

Length

Max length4
Median length4
Mean length3.0806452
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
69.4%
0 54
29.0%
1 3
 
1.6%

Length

2023-07-15T22:19:27.192983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:27.461931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 129
69.4%
0 54
29.0%
1 3
 
1.6%

객실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:27.733479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:27.968086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

건축연면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:28.177572image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:28.434506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:28.649688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:29.172849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

선박척수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:29.403376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:29.658986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:29.878477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:30.141296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

좌석수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:30.396857image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:30.638302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB
Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:30.868945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:31.152503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)30.2%
Missing123
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean134.44349
Minimum0
Maximum1917.9
Zeros45
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:31.369600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q372.1
95-th percentile646.491
Maximum1917.9
Range1917.9
Interquartile range (IQR)72.1

Descriptive statistics

Standard deviation357.57205
Coefficient of variation (CV)2.6596457
Kurtosis14.073639
Mean134.44349
Median Absolute Deviation (MAD)0
Skewness3.6843003
Sum8469.94
Variance127857.77
MonotonicityNot monotonic
2023-07-15T22:19:31.586650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 45
 
24.2%
378.15 1
 
0.5%
664.99 1
 
0.5%
100.0 1
 
0.5%
1917.9 1
 
0.5%
1488.79 1
 
0.5%
50.0 1
 
0.5%
226.13 1
 
0.5%
310.9 1
 
0.5%
213.06 1
 
0.5%
Other values (9) 9
 
4.8%
(Missing) 123
66.1%
ValueCountFrequency (%)
0.0 45
24.2%
50.0 1
 
0.5%
71.3 1
 
0.5%
72.9 1
 
0.5%
100.0 1
 
0.5%
160.0 1
 
0.5%
183.16 1
 
0.5%
191.25 1
 
0.5%
213.06 1
 
0.5%
213.67 1
 
0.5%
ValueCountFrequency (%)
1917.9 1
0.5%
1488.79 1
0.5%
1359.0 1
0.5%
664.99 1
0.5%
480.0 1
0.5%
388.74 1
0.5%
378.15 1
0.5%
310.9 1
0.5%
226.13 1
0.5%
213.67 1
0.5%
Distinct28
Distinct (%)93.3%
Missing156
Missing (%)83.9%
Memory size1.6 KiB
1종 2대
 
2
붕붕뜀틀 1대
 
2
건슈팅 2대, 미니농구, 오토바이타기, 뮤직댄스, 인형뽑기 6대, 펀치, 자동차경주, 에어하키
 
1
심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관)
 
1
놀이형 미니에어바운스 1종 2대
 
1
Other values (23)
23 

Length

Max length52
Median length22.5
Mean length15.633333
Min length4

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row총 11대
2nd row심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관)
3rd row놀이형 미니에어바운스 1종 2대
4th row미니모험놀이 볼대포,미니라이더(정기검사 대상아님)
5th row인형뽑기 1대, 미니농구 1대

Common Values

ValueCountFrequency (%)
1종 2대 2
 
1.1%
붕붕뜀틀 1대 2
 
1.1%
건슈팅 2대, 미니농구, 오토바이타기, 뮤직댄스, 인형뽑기 6대, 펀치, 자동차경주, 에어하키 1
 
0.5%
심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관) 1
 
0.5%
놀이형 미니에어바운스 1종 2대 1
 
0.5%
미니모험놀이 볼대포,미니라이더(정기검사 대상아님) 1
 
0.5%
인형뽑기 1대, 미니농구 1대 1
 
0.5%
미니기차 1
 
0.5%
봉봉뜀틀, 봉봉뜀틀 유아용 1
 
0.5%
미니 사격 1대(비검사대상) 1
 
0.5%
Other values (18) 18
 
9.7%
(Missing) 156
83.9%

Length

2023-07-15T22:19:31.890214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1종 6
 
6.6%
붕붕뜀틀 6
 
6.6%
1대 6
 
6.6%
2대 4
 
4.4%
봉봉뜀틀 4
 
4.4%
2종 3
 
3.3%
유아용 3
 
3.3%
트램폴린 3
 
3.3%
미니농구 2
 
2.2%
인형뽑기 2
 
2.2%
Other values (52) 52
57.1%

놀이시설수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)10.1%
Missing107
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean1.1139241
Minimum0
Maximum16
Zeros37
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:32.101238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.1
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1242636
Coefficient of variation (CV)1.9070094
Kurtosis31.121562
Mean1.1139241
Median Absolute Deviation (MAD)1
Skewness4.8693626
Sum88
Variance4.5124959
MonotonicityNot monotonic
2023-07-15T22:19:32.297165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 37
 
19.9%
1 26
 
14.0%
2 8
 
4.3%
4 2
 
1.1%
5 2
 
1.1%
3 2
 
1.1%
16 1
 
0.5%
6 1
 
0.5%
(Missing) 107
57.5%
ValueCountFrequency (%)
0 37
19.9%
1 26
14.0%
2 8
 
4.3%
3 2
 
1.1%
4 2
 
1.1%
5 2
 
1.1%
6 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
16 1
 
0.5%
6 1
 
0.5%
5 2
 
1.1%
4 2
 
1.1%
3 2
 
1.1%
2 8
 
4.3%
1 26
14.0%
0 37
19.9%
Distinct2
Distinct (%)50.0%
Missing182
Missing (%)97.8%
Memory size500.0 B
False
 
2
True
 
2
(Missing)
182 
ValueCountFrequency (%)
False 2
 
1.1%
True 2
 
1.1%
(Missing) 182
97.8%
2023-07-15T22:19:32.569077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)66.7%
Missing183
Missing (%)98.4%
Memory size500.0 B
False
 
2
True
 
1
(Missing)
183 
ValueCountFrequency (%)
False 2
 
1.1%
True 1
 
0.5%
(Missing) 183
98.4%
2023-07-15T22:19:32.783988image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)50.0%
Missing182
Missing (%)97.8%
Memory size500.0 B
False
 
2
True
 
2
(Missing)
182 
ValueCountFrequency (%)
False 2
 
1.1%
True 2
 
1.1%
(Missing) 182
97.8%
2023-07-15T22:19:32.998265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)40.0%
Missing181
Missing (%)97.3%
Memory size500.0 B
True
 
3
False
 
2
(Missing)
181 
ValueCountFrequency (%)
True 3
 
1.6%
False 2
 
1.1%
(Missing) 181
97.3%
2023-07-15T22:19:33.223244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

자본금
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
0
54 

Length

Max length4
Median length4
Mean length3.1290323
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
71.0%
0 54
29.0%

Length

2023-07-15T22:19:33.414290image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:33.650940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 132
71.0%
0 54
29.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)30.2%
Missing123
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean134.44444
Minimum0
Maximum1918
Zeros45
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-07-15T22:19:33.831792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q372
95-th percentile646.5
Maximum1918
Range1918
Interquartile range (IQR)72

Descriptive statistics

Standard deviation357.59532
Coefficient of variation (CV)2.6597999
Kurtosis14.073867
Mean134.44444
Median Absolute Deviation (MAD)0
Skewness3.6843553
Sum8470
Variance127874.41
MonotonicityNot monotonic
2023-07-15T22:19:34.078700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 45
 
24.2%
378 1
 
0.5%
665 1
 
0.5%
100 1
 
0.5%
1918 1
 
0.5%
1489 1
 
0.5%
50 1
 
0.5%
226 1
 
0.5%
311 1
 
0.5%
213 1
 
0.5%
Other values (9) 9
 
4.8%
(Missing) 123
66.1%
ValueCountFrequency (%)
0 45
24.2%
50 1
 
0.5%
71 1
 
0.5%
73 1
 
0.5%
100 1
 
0.5%
160 1
 
0.5%
183 1
 
0.5%
191 1
 
0.5%
213 1
 
0.5%
214 1
 
0.5%
ValueCountFrequency (%)
1918 1
0.5%
1489 1
0.5%
1359 1
0.5%
665 1
0.5%
480 1
0.5%
389 1
0.5%
378 1
0.5%
311 1
0.5%
226 1
0.5%
214 1
0.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01유원시설업(기타)03_07_08_P3410000CDFI52720020070000012007-06-13<NA>3폐업3폐업2011-01-04<NA><NA><NA><NA><NA>700-191대구광역시 중구 종로1가 29-4번지대구광역시 중구 국채보상로 547 (종로1가)<NA>에덴카니발2011-01-05 09:22:16I2018-08-31 23:59:59<NA>343571.965699264582.776251신고유원시설업유원시설업중심상업지역<NA><NA><NA><NA>유기장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>72.9총 11대<NA>NNNN<NA><NA><NA><NA><NA><NA>73
12유원시설업(기타)03_07_08_P3410000CDFI52720020160000072016-09-30<NA>3폐업34영업장폐쇄2019-02-11<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 18-11대구광역시 중구 동성로5길 41, 1층 (삼덕동1가)41941뽑아방2019-02-11 10:25:02U2019-02-13 02:40:00<NA>344147.150604264238.091691신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23유원시설업(기타)03_07_08_P3410000CDFI52720020160000012016-02-02<NA>3폐업3폐업2020-06-30<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 18-24대구광역시 중구 동성로5길 55, 지하1층 (삼덕동1가)41941총형스포츠 홈런짱2020-06-30 10:52:41U2020-07-02 02:40:00<NA>344223.750236264221.261793신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34유원시설업(기타)03_07_08_P3410000CDFI52720020160000022016-07-14<NA>3폐업3폐업2021-07-29<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)41937야사노 대구동성로점2021-07-30 10:12:28U2021-08-01 02:40:00<NA>343908.683407264477.417036신고유원시설업<NA>중심상업지역<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45유원시설업(기타)03_07_08_P3410000CDFI52720020160000032016-07-18<NA>3폐업3폐업2016-09-12<NA><NA><NA>053-476-9912<NA><NA>대구광역시 중구 대봉동 655-1 (생활체육광장내)<NA><NA>대구광역시 시설관리공단2016-09-12 10:34:44I2018-08-31 23:59:59<NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56유원시설업(기타)03_07_08_P3410000CDFI52720020160000052016-09-13<NA>3폐업3폐업2018-09-19<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-9대구광역시 중구 동성로5길 75, 1층 (삼덕동1가)41941푸쉬푸쉬2018-09-19 09:34:23U2018-09-19 23:59:59<NA>344317.257584264199.131562신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67유원시설업(기타)03_07_08_P3410000CDFI52720020160000062016-09-13<NA>3폐업3폐업2018-10-31<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 59-1대구광역시 중구 동성로5길 84, 1층 (삼덕동1가)41942시피 스마일토이2018-11-02 09:54:38U2018-11-04 02:35:46<NA>344358.284581264151.999026신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78유원시설업(기타)03_07_08_P3410000CDFI52720020190000022019-05-16<NA>3폐업3폐업2022-08-31<NA><NA><NA>053-245-2610<NA><NA>대구광역시 중구 계산동2가 200 현대백화점대구광역시 중구 달구벌대로 2077, 현대백화점 6층 (계산동2가)41936릴리펏 현대백화점대구점2023-02-09 10:25:12U2023-02-11 02:40:00<NA>343588.735555264119.01075신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89유원시설업(기타)03_07_08_P3410000CDFI52720020160000082016-10-13<NA>3폐업3폐업2017-02-09<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 39-10대구광역시 중구 동성로 52-2 (동성로2가)41913$10 House2017-02-09 16:35:32I2018-08-31 23:59:59<NA>344050.161638264647.23417신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910유원시설업(기타)03_07_08_P3410000CDFI52720020160000092016-10-24<NA>3폐업3폐업2017-11-29<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 144-3대구광역시 중구 동성로 20-1 (동성로2가)41941노리터2017-11-29 10:09:08I2018-08-31 23:59:59<NA>343993.003027264337.851228신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
176177유원시설업(기타)03_07_08_P3480000CDFI52720020190000052019-11-28<NA>3폐업3폐업2023-05-18<NA><NA><NA>053-585-7715<NA><NA>대구광역시 달성군 다사읍 세천리 1580-9대구광역시 달성군 다사읍 세천로 157, 디에스파크빌딩 4층42922제페토키즈카페2023-05-19 17:57:18U2023-05-21 02:40:00<NA>333467.570339264868.000124신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
177178유원시설업(기타)03_07_08_P3480000CDFI52720020180000062018-07-25<NA>3폐업3폐업2022-02-25<NA><NA><NA>0536142361<NA><NA>대구광역시 달성군 옥포읍 교항리 2933대구광역시 달성군 옥포읍 돌미상업로 10, 3층42974큐비쥬노리카페2022-04-05 09:15:21U2022-04-07 02:40:00<NA>330334.179215254527.243473신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
178179유원시설업(기타)03_07_08_P3480000CDFI52720020180000072018-08-07<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 806번지 강정보통합관리센터대구광역시 달성군 다사읍 강정본길 57, 강정보통합관리센터42917주식회사 금호토탈2018-10-11 16:05:58U2018-10-11 23:59:59<NA>332182.055596261165.171406신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
179180유원시설업(기타)03_07_08_P3480000CDFI52720020180000012018-05-28<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-7983<NA><NA>대구광역시 달성군 옥포면 교항리 2921번지 5층대구광역시 달성군 옥포면 돌미상업로2길 1, 5층42974제나드2018-05-30 13:22:42I2018-08-31 23:59:59<NA>330329.375725254575.952264신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>붕붕뜀틀 1대<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
180181유원시설업(기타)03_07_08_P3480000CDFI52720020180000022018-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA>053-617-2208<NA><NA>대구광역시 달성군 구지면 응암리 1208-3번지 덕성빌딩 3층대구광역시 달성군 구지면 과학마을로 60, 덕성빌딩 3층43008실버스타2018-06-15 17:25:07I2018-08-31 23:59:59<NA>328325.875378240496.083286신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
181182유원시설업(기타)03_07_08_P3480000CDFI52720020180000032018-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA>0535880022<NA><NA>대구광역시 달성군 다사읍 서재리 810 4층대구광역시 달성군 다사읍 서재로7길 36, 4층42929노리파크 대구서재점2022-04-26 17:52:17U2022-04-28 02:40:00<NA>334594.427911264399.493987신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
182183유원시설업(기타)03_07_08_P3480000CDFI52720020180000042018-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA>0535855780<NA><NA>대구광역시 달성군 다사읍 매곡리 1546-7번지 9층대구광역시 달성군 다사읍 달구벌대로 861, 9층42914스카이점핑랜드 죽곡점2018-06-19 11:09:01I2018-08-31 23:59:59<NA>332220.064187263114.527196신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183184유원시설업(기타)03_07_08_P3480000CDFI52720020230000022023-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938네이처랜드2023-06-26 12:57:24I2023-06-28 00:19:13<NA>347783.240397255360.475912신고유원시설업<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
184185유원시설업(기타)03_07_08_P3480000CDFI52720020230000012023-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 809-1대구광역시 달성군 다사읍 대실역남로 10, 301호42918점프점프2023-05-04 18:46:03I2023-05-07 00:20:08<NA>332254.040827262856.798138신고유원시설업<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
185186유원시설업(기타)03_07_08_P3480000CDFI52720020090000012009-09-21<NA>3폐업3폐업2018-11-19<NA><NA><NA><NA><NA>711-810대구광역시 달성군 다사읍 매곡리 718번지대구광역시 달성군 다사읍 달구벌대로 800-442915우방트램플린2018-11-19 10:33:57U2018-11-21 02:36:16<NA>331673.044159263270.483029신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>