Overview

Dataset statistics

Number of variables63
Number of observations179
Missing cells4261
Missing cells (%)37.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory95.6 KiB
Average record size in memory546.7 B

Variable types

Numeric12
Categorical25
Text6
Unsupported15
DateTime1
Boolean4

Dataset

Description22년12월_6270000_대구광역시_03_07_08_P_유원시설업(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097474&dataSetDetailId=DDI_0000097489&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (93.7%)Imbalance
휴업종료일자 is highly imbalanced (95.0%)Imbalance
문화사업자구분명 is highly imbalanced (87.7%)Imbalance
지역구분명 is highly imbalanced (78.6%)Imbalance
총층수 is highly imbalanced (55.6%)Imbalance
주변환경명 is highly imbalanced (87.7%)Imbalance
건물용도명 is highly imbalanced (80.0%)Imbalance
지상층수 is highly imbalanced (62.3%)Imbalance
인허가취소일자 has 179 (100.0%) missing valuesMissing
폐업일자 has 77 (43.0%) missing valuesMissing
재개업일자 has 179 (100.0%) missing valuesMissing
소재지전화 has 99 (55.3%) missing valuesMissing
소재지면적 has 179 (100.0%) missing valuesMissing
소재지우편번호 has 159 (88.8%) missing valuesMissing
도로명전체주소 has 10 (5.6%) missing valuesMissing
도로명우편번호 has 13 (7.3%) missing valuesMissing
업태구분명 has 179 (100.0%) missing valuesMissing
제작취급품목내용 has 179 (100.0%) missing valuesMissing
보험기관명 has 179 (100.0%) missing valuesMissing
영문상호명 has 179 (100.0%) missing valuesMissing
영문상호주소 has 179 (100.0%) missing valuesMissing
선박제원 has 179 (100.0%) missing valuesMissing
기념품종류 has 179 (100.0%) missing valuesMissing
시설면적 has 128 (71.5%) missing valuesMissing
놀이기구수내역 has 149 (83.2%) missing valuesMissing
놀이시설수 has 111 (62.0%) missing valuesMissing
방송시설유무 has 175 (97.8%) missing valuesMissing
발전시설유무 has 176 (98.3%) missing valuesMissing
의무실유무 has 175 (97.8%) missing valuesMissing
안내소유무 has 174 (97.2%) missing valuesMissing
기획여행보험시작일자 has 179 (100.0%) missing valuesMissing
기획여행보험종료일자 has 179 (100.0%) missing valuesMissing
보험시작일자 has 179 (100.0%) missing valuesMissing
보험종료일자 has 179 (100.0%) missing valuesMissing
부대시설내역 has 179 (100.0%) missing valuesMissing
시설규모 has 128 (71.5%) 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 34 (19.0%) zerosZeros
놀이시설수 has 28 (15.6%) zerosZeros
시설규모 has 34 (19.0%) zerosZeros

Reproduction

Analysis started2024-04-19 06:01:57.867170
Analysis finished2024-04-19 06:01:58.779846
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:01:58.846100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q145.5
median90
Q3134.5
95-th percentile170.1
Maximum179
Range178
Interquartile range (IQR)89

Descriptive statistics

Standard deviation51.816986
Coefficient of variation (CV)0.57574428
Kurtosis-1.2
Mean90
Median Absolute Deviation (MAD)45
Skewness0
Sum16110
Variance2685
MonotonicityStrictly increasing
2024-04-19T15:01:58.977660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
114 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
유원시설업(기타)
179 

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) 179
100.0%

Length

2024-04-19T15:01:59.115198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:01:59.217710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 179
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
03_07_08_P
179 

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 179
100.0%

Length

2024-04-19T15:01:59.353547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:01:59.453948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 179
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446703.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:01:59.541727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation23410.757
Coefficient of variation (CV)0.0067922157
Kurtosis-1.2012525
Mean3446703.9
Median Absolute Deviation (MAD)20000
Skewness-0.30550822
Sum6.1696 × 108
Variance5.4806352 × 108
MonotonicityIncreasing
2024-04-19T15:01:59.697393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 48
26.8%
3470000 28
15.6%
3410000 27
15.1%
3420000 25
14.0%
3460000 22
12.3%
3480000 20
11.2%
3430000 5
 
2.8%
3440000 4
 
2.2%
ValueCountFrequency (%)
3410000 27
15.1%
3420000 25
14.0%
3430000 5
 
2.8%
3440000 4
 
2.2%
3450000 48
26.8%
3460000 22
12.3%
3470000 28
15.6%
3480000 20
11.2%
ValueCountFrequency (%)
3480000 20
11.2%
3470000 28
15.6%
3460000 22
12.3%
3450000 48
26.8%
3440000 4
 
2.2%
3430000 5
 
2.8%
3420000 25
14.0%
3410000 27
15.1%

관리번호
Text

Distinct57
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-19T15:01:59.918575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3580
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

Unique18 ?
Unique (%)10.1%

Sample

1st rowCDFI5272002007000001
2nd rowCDFI5272002016000007
3rd rowCDFI5272002016000001
4th rowCDFI5272002016000002
5th rowCDFI5272002016000003
ValueCountFrequency (%)
cdfi5272002016000001 8
 
4.5%
cdfi5272002016000002 7
 
3.9%
cdfi5272002017000001 7
 
3.9%
cdfi5272002021000001 6
 
3.4%
cdfi5272002018000001 6
 
3.4%
cdfi5272002016000003 6
 
3.4%
cdfi5272002019000002 6
 
3.4%
cdfi5272002019000001 6
 
3.4%
cdfi5272002019000003 6
 
3.4%
cdfi5272002017000002 6
 
3.4%
Other values (47) 115
64.2%
2024-04-19T15:02:00.280696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1443
40.3%
2 609
17.0%
1 232
 
6.5%
7 214
 
6.0%
5 201
 
5.6%
C 179
 
5.0%
D 179
 
5.0%
F 179
 
5.0%
I 179
 
5.0%
6 51
 
1.4%
Other values (4) 114
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2864
80.0%
Uppercase Letter 716
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1443
50.4%
2 609
21.3%
1 232
 
8.1%
7 214
 
7.5%
5 201
 
7.0%
6 51
 
1.8%
9 35
 
1.2%
8 28
 
1.0%
3 27
 
0.9%
4 24
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 179
25.0%
D 179
25.0%
F 179
25.0%
I 179
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2864
80.0%
Latin 716
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1443
50.4%
2 609
21.3%
1 232
 
8.1%
7 214
 
7.5%
5 201
 
7.0%
6 51
 
1.8%
9 35
 
1.2%
8 28
 
1.0%
3 27
 
0.9%
4 24
 
0.8%
Latin
ValueCountFrequency (%)
C 179
25.0%
D 179
25.0%
F 179
25.0%
I 179
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1443
40.3%
2 609
17.0%
1 232
 
6.5%
7 214
 
6.0%
5 201
 
5.6%
C 179
 
5.0%
D 179
 
5.0%
F 179
 
5.0%
I 179
 
5.0%
6 51
 
1.4%
Other values (4) 114
 
3.2%

인허가일자
Real number (ℝ)

Distinct158
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20172572
Minimum19930810
Maximum20221222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:00.418559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930810
5-th percentile20119804
Q120160913
median20171206
Q320190807
95-th percentile20210765
Maximum20221222
Range290412
Interquartile range (IQR)29894

Descriptive statistics

Standard deviation32473.475
Coefficient of variation (CV)0.0016097835
Kurtosis18.636599
Mean20172572
Median Absolute Deviation (MAD)10878
Skewness-3.0909133
Sum3.6108904 × 109
Variance1.0545265 × 109
MonotonicityNot monotonic
2024-04-19T15:02:00.554263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191220 4
 
2.2%
20161028 3
 
1.7%
20190807 2
 
1.1%
20190708 2
 
1.1%
20161214 2
 
1.1%
20190725 2
 
1.1%
20190529 2
 
1.1%
20160831 2
 
1.1%
20171218 2
 
1.1%
20160215 2
 
1.1%
Other values (148) 156
87.2%
ValueCountFrequency (%)
19930810 1
0.6%
20030310 1
0.6%
20070613 1
0.6%
20090921 1
0.6%
20100929 1
0.6%
20110418 1
0.6%
20110511 1
0.6%
20110630 1
0.6%
20110712 1
0.6%
20120814 1
0.6%
ValueCountFrequency (%)
20221222 1
0.6%
20220721 1
0.6%
20220720 1
0.6%
20220719 1
0.6%
20220128 1
0.6%
20220125 1
0.6%
20211209 1
0.6%
20211208 1
0.6%
20211110 1
0.6%
20210727 1
0.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
108 
1
69 
2
 
2

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 (%)
3 108
60.3%
1 69
38.5%
2 2
 
1.1%

Length

2024-04-19T15:02:00.715724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:00.845812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 108
60.3%
1 69
38.5%
2 2
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
108 
영업/정상
69 
휴업
 
2

Length

Max length5
Median length2
Mean length3.1564246
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 108
60.3%
영업/정상 69
38.5%
휴업 2
 
1.1%

Length

2024-04-19T15:02:00.967058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:01.070971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 108
60.3%
영업/정상 69
38.5%
휴업 2
 
1.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
106 
13
69 
34
 
2
2
 
2

Length

Max length2
Median length1
Mean length1.396648
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 106
59.2%
13 69
38.5%
34 2
 
1.1%
2 2
 
1.1%

Length

2024-04-19T15:02:01.183935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:01.290974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 106
59.2%
13 69
38.5%
34 2
 
1.1%
2 2
 
1.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
106 
영업중
69 
영업장폐쇄
 
2
휴업
 
2

Length

Max length5
Median length2
Mean length2.4189944
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 106
59.2%
영업중 69
38.5%
영업장폐쇄 2
 
1.1%
휴업 2
 
1.1%

Length

2024-04-19T15:02:01.423198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:01.539991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 106
59.2%
영업중 69
38.5%
영업장폐쇄 2
 
1.1%
휴업 2
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)90.2%
Missing77
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean20182620
Minimum20071214
Maximum20220826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:01.675007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071214
5-th percentile20120735
Q120171224
median20190271
Q320200817
95-th percentile20220220
Maximum20220826
Range149612
Interquartile range (IQR)29593.25

Descriptive statistics

Standard deviation28618.498
Coefficient of variation (CV)0.0014179774
Kurtosis2.5110462
Mean20182620
Median Absolute Deviation (MAD)10959.5
Skewness-1.3892766
Sum2.0586272 × 109
Variance8.1901841 × 108
MonotonicityNot monotonic
2024-04-19T15:02:01.823443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 4
 
2.2%
20190818 3
 
1.7%
20200331 2
 
1.1%
20180103 2
 
1.1%
20170820 2
 
1.1%
20190129 2
 
1.1%
20180820 2
 
1.1%
20180321 1
 
0.6%
20180323 1
 
0.6%
20180517 1
 
0.6%
Other values (82) 82
45.8%
(Missing) 77
43.0%
ValueCountFrequency (%)
20071214 1
0.6%
20090921 1
0.6%
20110104 1
0.6%
20120310 1
0.6%
20120430 1
0.6%
20120731 1
0.6%
20120820 1
0.6%
20130218 1
0.6%
20140224 1
0.6%
20140301 1
0.6%
ValueCountFrequency (%)
20220826 1
0.6%
20220820 1
0.6%
20220815 1
0.6%
20220430 1
0.6%
20220225 1
0.6%
20220220 1
0.6%
20220210 1
0.6%
20220120 1
0.6%
20211102 1
0.6%
20211020 1
0.6%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
177 
20201228
 
1
20210301
 
1

Length

Max length8
Median length4
Mean length4.0446927
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 177
98.9%
20201228 1
 
0.6%
20210301 1
 
0.6%

Length

2024-04-19T15:02:01.979116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:02.106538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
98.9%
20201228 1
 
0.6%
20210301 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
178 
20210319
 
1

Length

Max length8
Median length4
Mean length4.0223464
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 178
99.4%
20210319 1
 
0.6%

Length

2024-04-19T15:02:02.230993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:02.347476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
99.4%
20210319 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소재지전화
Text

MISSING 

Distinct75
Distinct (%)93.8%
Missing99
Missing (%)55.3%
Memory size1.5 KiB
2024-04-19T15:02:02.585735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.6
Min length7

Characters and Unicode

Total characters928
Distinct characters14
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)88.8%

Sample

1st row053-476-9912
2nd row053-476-9915
3rd row0532540126
4th row053-476-9915
5th row053-476-9912
ValueCountFrequency (%)
053-476-9912 3
 
3.8%
053-382-7979 2
 
2.5%
02-333-8334 2
 
2.5%
053-476-9915 2
 
2.5%
620-0001 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 (65) 65
81.2%
2024-04-19T15:02:02.949550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 148
15.9%
- 132
14.2%
5 130
14.0%
3 128
13.8%
2 77
8.3%
1 68
7.3%
9 57
 
6.1%
6 56
 
6.0%
7 50
 
5.4%
8 47
 
5.1%
Other values (4) 35
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 791
85.2%
Dash Punctuation 132
 
14.2%
Other Punctuation 5
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
18.7%
5 130
16.4%
3 128
16.2%
2 77
9.7%
1 68
8.6%
9 57
 
7.2%
6 56
 
7.1%
7 50
 
6.3%
8 47
 
5.9%
4 30
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
. 2
40.0%
, 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 928
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 148
15.9%
- 132
14.2%
5 130
14.0%
3 128
13.8%
2 77
8.3%
1 68
7.3%
9 57
 
6.1%
6 56
 
6.0%
7 50
 
5.4%
8 47
 
5.1%
Other values (4) 35
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 148
15.9%
- 132
14.2%
5 130
14.0%
3 128
13.8%
2 77
8.3%
1 68
7.3%
9 57
 
6.1%
6 56
 
6.0%
7 50
 
5.4%
8 47
 
5.1%
Other values (4) 35
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing159
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean704497.4
Minimum700191
Maximum711839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:03.076352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700191
5-th percentile700419
Q1701839
median703367.5
Q3705888.5
95-th percentile711821.9
Maximum711839
Range11648
Interquartile range (IQR)4049.5

Descriptive statistics

Standard deviation3699.7923
Coefficient of variation (CV)0.0052516763
Kurtosis0.22399008
Mean704497.4
Median Absolute Deviation (MAD)2270.5
Skewness1.0430312
Sum14089948
Variance13688463
MonotonicityNot monotonic
2024-04-19T15:02:03.188930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
701170 2
 
1.1%
702712 2
 
1.1%
701024 1
 
0.6%
703850 1
 
0.6%
705805 1
 
0.6%
705808 1
 
0.6%
702849 1
 
0.6%
702062 1
 
0.6%
700431 1
 
0.6%
702885 1
 
0.6%
Other values (8) 8
 
4.5%
(Missing) 159
88.8%
ValueCountFrequency (%)
700191 1
0.6%
700431 1
0.6%
701024 1
0.6%
701170 2
1.1%
702062 1
0.6%
702712 2
1.1%
702849 1
0.6%
702885 1
0.6%
703850 1
0.6%
704060 1
0.6%
ValueCountFrequency (%)
711839 1
0.6%
711821 1
0.6%
711810 1
0.6%
706813 1
0.6%
706130 1
0.6%
705808 1
0.6%
705805 1
0.6%
704806 1
0.6%
704060 1
0.6%
703850 1
0.6%

소재지전체주소
Text

Distinct165
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-19T15:02:03.538396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length37
Mean length24.558659
Min length13

Characters and Unicode

Total characters4396
Distinct characters217
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)85.5%

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)
ValueCountFrequency (%)
대구광역시 177
 
20.8%
북구 46
 
5.4%
달서구 28
 
3.3%
중구 27
 
3.2%
동구 25
 
2.9%
수성구 22
 
2.6%
달성군 20
 
2.3%
동천동 14
 
1.6%
산격동 9
 
1.1%
대봉동 7
 
0.8%
Other values (320) 477
56.0%
2024-04-19T15:02:04.045755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
856
19.5%
구 358
 
8.1%
대 220
 
5.0%
동 210
 
4.8%
시 186
 
4.2%
광 180
 
4.1%
역 179
 
4.1%
1 166
 
3.8%
- 122
 
2.8%
2 118
 
2.7%
Other values (207) 1801
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2580
58.7%
Space Separator 856
 
19.5%
Decimal Number 805
 
18.3%
Dash Punctuation 122
 
2.8%
Lowercase Letter 14
 
0.3%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Other Punctuation 4
 
0.1%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 358
 
13.9%
대 220
 
8.5%
동 210
 
8.1%
시 186
 
7.2%
광 180
 
7.0%
역 179
 
6.9%
지 100
 
3.9%
번 88
 
3.4%
성 73
 
2.8%
달 48
 
1.9%
Other values (179) 938
36.4%
Decimal Number
ValueCountFrequency (%)
1 166
20.6%
2 118
14.7%
5 81
10.1%
3 80
9.9%
0 73
9.1%
6 68
8.4%
4 64
 
8.0%
8 60
 
7.5%
9 48
 
6.0%
7 47
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
14.3%
m 2
14.3%
o 2
14.3%
p 2
14.3%
l 2
14.3%
u 2
14.3%
s 2
14.3%
Other Punctuation
ValueCountFrequency (%)
: 2
50.0%
. 1
25.0%
, 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
66.7%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
856
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2580
58.7%
Common 1799
40.9%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 358
 
13.9%
대 220
 
8.5%
동 210
 
8.1%
시 186
 
7.2%
광 180
 
7.0%
역 179
 
6.9%
지 100
 
3.9%
번 88
 
3.4%
성 73
 
2.8%
달 48
 
1.9%
Other values (179) 938
36.4%
Common
ValueCountFrequency (%)
856
47.6%
1 166
 
9.2%
- 122
 
6.8%
2 118
 
6.6%
5 81
 
4.5%
3 80
 
4.4%
0 73
 
4.1%
6 68
 
3.8%
4 64
 
3.6%
8 60
 
3.3%
Other values (9) 111
 
6.2%
Latin
ValueCountFrequency (%)
H 2
11.8%
e 2
11.8%
m 2
11.8%
o 2
11.8%
p 2
11.8%
l 2
11.8%
u 2
11.8%
s 2
11.8%
G 1
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2580
58.7%
ASCII 1815
41.3%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
856
47.2%
1 166
 
9.1%
- 122
 
6.7%
2 118
 
6.5%
5 81
 
4.5%
3 80
 
4.4%
0 73
 
4.0%
6 68
 
3.7%
4 64
 
3.5%
8 60
 
3.3%
Other values (17) 127
 
7.0%
Hangul
ValueCountFrequency (%)
구 358
 
13.9%
대 220
 
8.5%
동 210
 
8.1%
시 186
 
7.2%
광 180
 
7.0%
역 179
 
6.9%
지 100
 
3.9%
번 88
 
3.4%
성 73
 
2.8%
달 48
 
1.9%
Other values (179) 938
36.4%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct165
Distinct (%)97.6%
Missing10
Missing (%)5.6%
Memory size1.5 KiB
2024-04-19T15:02:04.364605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length42
Mean length31.065089
Min length21

Characters and Unicode

Total characters5250
Distinct characters250
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)95.3%

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)
ValueCountFrequency (%)
대구광역시 167
 
15.6%
북구 43
 
4.0%
달서구 28
 
2.6%
동구 25
 
2.3%
중구 22
 
2.1%
3층 21
 
2.0%
수성구 21
 
2.0%
달성군 19
 
1.8%
1층 18
 
1.7%
4층 14
 
1.3%
Other values (398) 692
64.7%
2024-04-19T15:02:04.862887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
909
 
17.3%
구 358
 
6.8%
동 243
 
4.6%
대 235
 
4.5%
시 185
 
3.5%
역 171
 
3.3%
로 170
 
3.2%
광 169
 
3.2%
1 167
 
3.2%
) 154
 
2.9%
Other values (240) 2489
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3072
58.5%
Space Separator 909
 
17.3%
Decimal Number 760
 
14.5%
Close Punctuation 154
 
2.9%
Other Punctuation 154
 
2.9%
Open Punctuation 153
 
2.9%
Dash Punctuation 28
 
0.5%
Uppercase Letter 11
 
0.2%
Lowercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 358
 
11.7%
동 243
 
7.9%
대 235
 
7.6%
시 185
 
6.0%
역 171
 
5.6%
로 170
 
5.5%
광 169
 
5.5%
층 98
 
3.2%
성 84
 
2.7%
달 62
 
2.0%
Other values (205) 1297
42.2%
Decimal Number
ValueCountFrequency (%)
1 167
22.0%
2 125
16.4%
3 80
10.5%
0 77
10.1%
4 76
10.0%
5 54
 
7.1%
6 51
 
6.7%
8 49
 
6.4%
9 44
 
5.8%
7 37
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
J 2
18.2%
X 2
18.2%
Y 2
18.2%
G 1
9.1%
D 1
9.1%
S 1
9.1%
H 1
9.1%
B 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
14.3%
o 1
14.3%
m 1
14.3%
p 1
14.3%
l 1
14.3%
s 1
14.3%
u 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 150
97.4%
: 2
 
1.3%
. 1
 
0.6%
* 1
 
0.6%
Space Separator
ValueCountFrequency (%)
909
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3072
58.5%
Common 2160
41.1%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 358
 
11.7%
동 243
 
7.9%
대 235
 
7.6%
시 185
 
6.0%
역 171
 
5.6%
로 170
 
5.5%
광 169
 
5.5%
층 98
 
3.2%
성 84
 
2.7%
달 62
 
2.0%
Other values (205) 1297
42.2%
Common
ValueCountFrequency (%)
909
42.1%
1 167
 
7.7%
) 154
 
7.1%
( 153
 
7.1%
, 150
 
6.9%
2 125
 
5.8%
3 80
 
3.7%
0 77
 
3.6%
4 76
 
3.5%
5 54
 
2.5%
Other values (10) 215
 
10.0%
Latin
ValueCountFrequency (%)
J 2
 
11.1%
X 2
 
11.1%
Y 2
 
11.1%
G 1
 
5.6%
D 1
 
5.6%
S 1
 
5.6%
e 1
 
5.6%
o 1
 
5.6%
H 1
 
5.6%
m 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3072
58.5%
ASCII 2177
41.5%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
909
41.8%
1 167
 
7.7%
) 154
 
7.1%
( 153
 
7.0%
, 150
 
6.9%
2 125
 
5.7%
3 80
 
3.7%
0 77
 
3.5%
4 76
 
3.5%
5 54
 
2.5%
Other values (24) 232
 
10.7%
Hangul
ValueCountFrequency (%)
구 358
 
11.7%
동 243
 
7.9%
대 235
 
7.6%
시 185
 
6.0%
역 171
 
5.6%
로 170
 
5.5%
광 169
 
5.5%
층 98
 
3.2%
성 84
 
2.7%
달 62
 
2.0%
Other values (205) 1297
42.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)65.1%
Missing13
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean69970.59
Minimum41065
Maximum704804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:05.027833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41065
5-th percentile41105
Q141507.25
median41941.5
Q342685.25
95-th percentile46380
Maximum704804
Range663739
Interquartile range (IQR)1178

Descriptive statistics

Standard deviation133119.35
Coefficient of variation (CV)1.9025044
Kurtosis19.369343
Mean69970.59
Median Absolute Deviation (MAD)519
Skewness4.5971642
Sum11615118
Variance1.7720762 × 1010
MonotonicityNot monotonic
2024-04-19T15:02:05.200109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 8
 
4.5%
41941 7
 
3.9%
42250 6
 
3.4%
42274 5
 
2.8%
42941 4
 
2.2%
41229 4
 
2.2%
41593 3
 
1.7%
41586 3
 
1.7%
41422 3
 
1.7%
41084 3
 
1.7%
Other values (98) 120
67.0%
(Missing) 13
 
7.3%
ValueCountFrequency (%)
41065 1
 
0.6%
41067 1
 
0.6%
41083 1
 
0.6%
41084 3
1.7%
41087 1
 
0.6%
41097 1
 
0.6%
41105 2
1.1%
41106 1
 
0.6%
41144 2
1.1%
41147 1
 
0.6%
ValueCountFrequency (%)
704804 1
0.6%
702885 1
0.6%
702712 2
1.1%
701829 1
0.6%
701170 2
1.1%
54829 1
0.6%
47504 1
0.6%
43008 1
0.6%
43004 1
0.6%
42974 2
1.1%

사업장명
Text

Distinct173
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-19T15:02:05.446222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.7039106
Min length2

Characters and Unicode

Total characters1379
Distinct characters290
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)93.3%

Sample

1st row에덴카니발
2nd row뽑아방
3rd row총형스포츠 홈런짱
4th row야사노 대구동성로점
5th row대구광역시 시설관리공단
ValueCountFrequency (%)
물놀이장 7
 
2.6%
주식회사 6
 
2.2%
화원동산 4
 
1.5%
스카이점핑랜드 4
 
1.5%
키즈카페 4
 
1.5%
대구수성점 3
 
1.1%
대구점 3
 
1.1%
맥스라이더 3
 
1.1%
2020 2
 
0.7%
맘편한 2
 
0.7%
Other values (217) 232
85.9%
2024-04-19T15:02:06.150334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
6.6%
이 59
 
4.3%
점 51
 
3.7%
스 38
 
2.8%
리 31
 
2.2%
대 29
 
2.1%
키 27
 
2.0%
구 26
 
1.9%
카 25
 
1.8%
드 24
 
1.7%
Other values (280) 978
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1170
84.8%
Space Separator 91
 
6.6%
Uppercase Letter 37
 
2.7%
Close Punctuation 23
 
1.7%
Open Punctuation 23
 
1.7%
Lowercase Letter 19
 
1.4%
Decimal Number 14
 
1.0%
Currency Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 59
 
5.0%
점 51
 
4.4%
스 38
 
3.2%
리 31
 
2.6%
대 29
 
2.5%
키 27
 
2.3%
구 26
 
2.2%
카 25
 
2.1%
드 24
 
2.1%
즈 24
 
2.1%
Other values (239) 836
71.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
 
10.8%
M 4
 
10.8%
V 3
 
8.1%
C 3
 
8.1%
D 2
 
5.4%
S 2
 
5.4%
L 2
 
5.4%
O 2
 
5.4%
E 2
 
5.4%
N 2
 
5.4%
Other values (9) 11
29.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.8%
u 3
15.8%
e 2
10.5%
t 2
10.5%
l 1
 
5.3%
d 1
 
5.3%
f 1
 
5.3%
a 1
 
5.3%
h 1
 
5.3%
y 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
2 5
35.7%
4 2
 
14.3%
1 2
 
14.3%
Space Separator
ValueCountFrequency (%)
91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1169
84.8%
Common 153
 
11.1%
Latin 56
 
4.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 59
 
5.0%
점 51
 
4.4%
스 38
 
3.3%
리 31
 
2.7%
대 29
 
2.5%
키 27
 
2.3%
구 26
 
2.2%
카 25
 
2.1%
드 24
 
2.1%
즈 24
 
2.1%
Other values (238) 835
71.4%
Latin
ValueCountFrequency (%)
A 4
 
7.1%
M 4
 
7.1%
n 3
 
5.4%
V 3
 
5.4%
C 3
 
5.4%
u 3
 
5.4%
e 2
 
3.6%
D 2
 
3.6%
S 2
 
3.6%
t 2
 
3.6%
Other values (22) 28
50.0%
Common
ValueCountFrequency (%)
91
59.5%
) 23
 
15.0%
( 23
 
15.0%
0 5
 
3.3%
2 5
 
3.3%
4 2
 
1.3%
1 2
 
1.3%
$ 1
 
0.7%
& 1
 
0.7%
Han
ValueCountFrequency (%)
市 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1169
84.8%
ASCII 209
 
15.2%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
43.5%
) 23
 
11.0%
( 23
 
11.0%
0 5
 
2.4%
2 5
 
2.4%
A 4
 
1.9%
M 4
 
1.9%
n 3
 
1.4%
V 3
 
1.4%
C 3
 
1.4%
Other values (31) 45
21.5%
Hangul
ValueCountFrequency (%)
이 59
 
5.0%
점 51
 
4.4%
스 38
 
3.3%
리 31
 
2.7%
대 29
 
2.5%
키 27
 
2.3%
구 26
 
2.2%
카 25
 
2.1%
드 24
 
2.1%
즈 24
 
2.1%
Other values (238) 835
71.4%
CJK
ValueCountFrequency (%)
市 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0192507 × 1013
Minimum2.0071213 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:06.306755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0071213 × 1013
5-th percentile2.0140844 × 1013
Q12.0180321 × 1013
median2.0200206 × 1013
Q32.0210972 × 1013
95-th percentile2.0221004 × 1013
Maximum2.022123 × 1013
Range1.50017 × 1011
Interquartile range (IQR)3.065148 × 1010

Descriptive statistics

Standard deviation2.6400327 × 1010
Coefficient of variation (CV)0.0013074319
Kurtosis3.4499984
Mean2.0192507 × 1013
Median Absolute Deviation (MAD)1.9591003 × 1010
Skewness-1.4937128
Sum3.6144588 × 1015
Variance6.9697729 × 1020
MonotonicityNot monotonic
2024-04-19T15:02:06.457866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110105092216 1
 
0.6%
20180517132515 1
 
0.6%
20180321173413 1
 
0.6%
20180228142239 1
 
0.6%
20190218104621 1
 
0.6%
20201007150033 1
 
0.6%
20200508165126 1
 
0.6%
20191107141434 1
 
0.6%
20220328163114 1
 
0.6%
20190529132204 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
20071213161740 1
0.6%
20090921104443 1
0.6%
20110105092216 1
0.6%
20120430171044 1
0.6%
20120702172827 1
0.6%
20120801092923 1
0.6%
20120822165230 1
0.6%
20140227090051 1
0.6%
20140312165154 1
0.6%
20140903142334 1
0.6%
ValueCountFrequency (%)
20221230164827 1
0.6%
20221222150851 1
0.6%
20221206145248 1
0.6%
20221114132102 1
0.6%
20221104155515 1
0.6%
20221027134438 1
0.6%
20221019134934 1
0.6%
20221006104353 1
0.6%
20221005150708 1
0.6%
20221004162041 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
U
110 
I
69 

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 110
61.5%
I 69
38.5%

Length

2024-04-19T15:02:06.594205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:06.699810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 110
61.5%
i 69
38.5%

데이터갱신일자
Date

Distinct105
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2024-04-19T15:02:06.827286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:02:06.978637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct146
Distinct (%)82.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean342820.89
Minimum211303.08
Maximum389194.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:07.108406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211303.08
5-th percentile332218.71
Q1339643.25
median343893.07
Q3346807.09
95-th percentile354192.35
Maximum389194.1
Range177891.02
Interquartile range (IQR)7163.8393

Descriptive statistics

Standard deviation12087.702
Coefficient of variation (CV)0.035259526
Kurtosis80.305045
Mean342820.89
Median Absolute Deviation (MAD)3566.4539
Skewness-7.0085023
Sum61022119
Variance1.4611255 × 108
MonotonicityNot monotonic
2024-04-19T15:02:07.288314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352335.045028381 6
 
3.4%
345549.110170479 5
 
2.8%
345144.121523599 5
 
2.8%
355939.362329351 3
 
1.7%
347037.241970286 3
 
1.7%
343510.573192364 3
 
1.7%
333854.317766316 2
 
1.1%
340788.465795756 2
 
1.1%
346807.086927073 2
 
1.1%
340320.722709596 2
 
1.1%
Other values (136) 145
81.0%
ValueCountFrequency (%)
211303.084885447 1
0.6%
328075.737316967 1
0.6%
328325.875377771 1
0.6%
330329.375724914 1
0.6%
330334.179214972 1
0.6%
330725.352099025 1
0.6%
331673.04415855 1
0.6%
332182.055596217 1
0.6%
332211.021477461 1
0.6%
332220.06418694 1
0.6%
ValueCountFrequency (%)
389194.104289201 1
 
0.6%
355939.362329351 3
1.7%
355855.955513013 1
 
0.6%
355761.750376171 1
 
0.6%
354753.46990822 1
 
0.6%
354561.70358286 1
 
0.6%
354219.069618441 1
 
0.6%
354187.632432412 1
 
0.6%
354186.29490617 1
 
0.6%
354141.449476213 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct146
Distinct (%)82.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean263502.08
Minimum190807.09
Maximum272735.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:07.475963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190807.09
5-th percentile257489.58
Q1261186.62
median264176.2
Q3266122.42
95-th percentile272540.52
Maximum272735.68
Range81928.583
Interquartile range (IQR)4935.7999

Descriptive statistics

Standard deviation7261.7356
Coefficient of variation (CV)0.027558551
Kurtosis56.864781
Mean263502.08
Median Absolute Deviation (MAD)2455.3342
Skewness-5.873938
Sum46903370
Variance52732804
MonotonicityNot monotonic
2024-04-19T15:02:07.610328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260158.750203679 6
 
3.4%
268620.845678103 5
 
2.8%
263145.38641925 5
 
2.8%
264777.243597576 3
 
1.7%
265407.404336831 3
 
1.7%
266134.259920881 3
 
1.7%
258064.058452982 2
 
1.1%
272540.517024906 2
 
1.1%
264654.357512466 2
 
1.1%
272735.675659876 2
 
1.1%
Other values (136) 145
81.0%
ValueCountFrequency (%)
190807.093033573 1
0.6%
240496.083286429 1
0.6%
244351.176373244 1
0.6%
254527.243473422 1
0.6%
254575.952264305 1
0.6%
255360.475912095 1
0.6%
255998.649989061 2
1.1%
256882.851070377 1
0.6%
257596.654862013 1
0.6%
257925.256214078 2
1.1%
ValueCountFrequency (%)
272735.675659876 2
1.1%
272659.975074019 1
0.6%
272648.099804965 1
0.6%
272615.482385513 1
0.6%
272576.782877787 1
0.6%
272570.139180315 1
0.6%
272547.266998477 1
0.6%
272540.517024906 2
1.1%
272529.412924783 1
0.6%
272501.710869454 1
0.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
신고유원시설업
179 

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 179
100.0%

Length

2024-04-19T15:02:07.737430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:07.836723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 179
100.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
176 
유원시설업
 
3

Length

Max length5
Median length4
Mean length4.0167598
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
98.3%
유원시설업 3
 
1.7%

Length

2024-04-19T15:02:07.971371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:08.089865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
98.3%
유원시설업 3
 
1.7%

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
164 
일반주거지역
 
6
중심상업지역
 
4
자연녹지지역
 
2
상업지역
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.1564246
Min length4

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
91.6%
일반주거지역 6
 
3.4%
중심상업지역 4
 
2.2%
자연녹지지역 2
 
1.1%
상업지역 1
 
0.6%
일반상업지역 1
 
0.6%
근린상업지역 1
 
0.6%

Length

2024-04-19T15:02:08.218610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:08.348941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
91.6%
일반주거지역 6
 
3.4%
중심상업지역 4
 
2.2%
자연녹지지역 2
 
1.1%
상업지역 1
 
0.6%
일반상업지역 1
 
0.6%
근린상업지역 1
 
0.6%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
137 
0
39 
4
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.2960894
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
76.5%
0 39
 
21.8%
4 2
 
1.1%
2 1
 
0.6%

Length

2024-04-19T15:02:08.477531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:08.601284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
76.5%
0 39
 
21.8%
4 2
 
1.1%
2 1
 
0.6%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
176 
기타
 
3

Length

Max length4
Median length4
Mean length3.9664804
Min length2

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> 176
98.3%
기타 3
 
1.7%

Length

2024-04-19T15:02:08.738963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:08.856429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
98.3%
기타 3
 
1.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
168 
근린생활시설
 
8
유기장
 
2
기타
 
1

Length

Max length6
Median length4
Mean length4.0670391
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 168
93.9%
근린생활시설 8
 
4.5%
유기장 2
 
1.1%
기타 1
 
0.6%

Length

2024-04-19T15:02:08.998937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:09.114045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 168
93.9%
근린생활시설 8
 
4.5%
유기장 2
 
1.1%
기타 1
 
0.6%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
136 
0
38 
3
 
2
6
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.2793296
Min length1

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 136
76.0%
0 38
 
21.2%
3 2
 
1.1%
6 1
 
0.6%
7 1
 
0.6%
9 1
 
0.6%

Length

2024-04-19T15:02:09.233435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:09.367252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
76.0%
0 38
 
21.2%
3 2
 
1.1%
6 1
 
0.6%
7 1
 
0.6%
9 1
 
0.6%

지하층수
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
136 
0
40 
1
 
3

Length

Max length4
Median length4
Mean length3.2793296
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> 136
76.0%
0 40
 
22.3%
1 3
 
1.7%

Length

2024-04-19T15:02:09.501133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:09.612418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
76.0%
0 40
 
22.3%
1 3
 
1.7%

객실수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:09.735951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:09.839464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

건축연면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:09.947061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:10.063078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:10.169433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:10.272691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

선박척수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:10.379343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:10.484929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:10.596904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:10.728998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

좌석수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:10.849095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:10.971532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:11.097847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:11.201615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)35.3%
Missing128
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean153.03824
Minimum0
Maximum1917.9
Zeros34
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:11.290951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3130
95-th percentile919.5
Maximum1917.9
Range1917.9
Interquartile range (IQR)130

Descriptive statistics

Standard deviation385.46706
Coefficient of variation (CV)2.5187631
Kurtosis12.170571
Mean153.03824
Median Absolute Deviation (MAD)0
Skewness3.4797925
Sum7804.95
Variance148584.86
MonotonicityNot monotonic
2024-04-19T15:02:11.441928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 34
 
19.0%
183.16 1
 
0.6%
100.0 1
 
0.6%
480.0 1
 
0.6%
191.25 1
 
0.6%
1359.0 1
 
0.6%
213.67 1
 
0.6%
388.74 1
 
0.6%
71.3 1
 
0.6%
72.9 1
 
0.6%
Other values (8) 8
 
4.5%
(Missing) 128
71.5%
ValueCountFrequency (%)
0.0 34
19.0%
50.0 1
 
0.6%
71.3 1
 
0.6%
72.9 1
 
0.6%
100.0 1
 
0.6%
160.0 1
 
0.6%
183.16 1
 
0.6%
191.25 1
 
0.6%
213.06 1
 
0.6%
213.67 1
 
0.6%
ValueCountFrequency (%)
1917.9 1
0.6%
1488.79 1
0.6%
1359.0 1
0.6%
480.0 1
0.6%
388.74 1
0.6%
378.15 1
0.6%
310.9 1
0.6%
226.13 1
0.6%
213.67 1
0.6%
213.06 1
0.6%

놀이기구수내역
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing149
Missing (%)83.2%
Memory size1.5 KiB
2024-04-19T15:02:11.680651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

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

Characters and Unicode

Total characters469
Distinct characters106
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

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
ValueCountFrequency (%)
1종 6
 
6.6%
붕붕뜀틀 6
 
6.6%
1대 6
 
6.6%
봉봉뜀틀 4
 
4.4%
2대 4
 
4.4%
2종 3
 
3.3%
유아용 3
 
3.3%
트램폴린 3
 
3.3%
인형뽑기 2
 
2.2%
미니농구 2
 
2.2%
Other values (52) 52
57.1%
2024-04-19T15:02:12.030302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
13.0%
대 26
 
5.5%
1 23
 
4.9%
, 21
 
4.5%
붕 18
 
3.8%
2 17
 
3.6%
틀 14
 
3.0%
뜀 13
 
2.8%
종 12
 
2.6%
이 12
 
2.6%
Other values (96) 252
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
65.9%
Space Separator 61
 
13.0%
Decimal Number 55
 
11.7%
Other Punctuation 23
 
4.9%
Open Punctuation 10
 
2.1%
Close Punctuation 10
 
2.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 26
 
8.4%
붕 18
 
5.8%
틀 14
 
4.5%
뜀 13
 
4.2%
종 12
 
3.9%
이 12
 
3.9%
미 12
 
3.9%
니 11
 
3.6%
봉 10
 
3.2%
스 9
 
2.9%
Other values (82) 172
55.7%
Decimal Number
ValueCountFrequency (%)
1 23
41.8%
2 17
30.9%
3 5
 
9.1%
5 3
 
5.5%
8 2
 
3.6%
4 2
 
3.6%
6 2
 
3.6%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 21
91.3%
. 2
 
8.7%
Space Separator
ValueCountFrequency (%)
61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
65.9%
Common 160
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 26
 
8.4%
붕 18
 
5.8%
틀 14
 
4.5%
뜀 13
 
4.2%
종 12
 
3.9%
이 12
 
3.9%
미 12
 
3.9%
니 11
 
3.6%
봉 10
 
3.2%
스 9
 
2.9%
Other values (82) 172
55.7%
Common
ValueCountFrequency (%)
61
38.1%
1 23
 
14.4%
, 21
 
13.1%
2 17
 
10.6%
( 10
 
6.2%
) 10
 
6.2%
3 5
 
3.1%
5 3
 
1.9%
8 2
 
1.2%
4 2
 
1.2%
Other values (4) 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
65.9%
ASCII 160
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
38.1%
1 23
 
14.4%
, 21
 
13.1%
2 17
 
10.6%
( 10
 
6.2%
) 10
 
6.2%
3 5
 
3.1%
5 3
 
1.9%
8 2
 
1.2%
4 2
 
1.2%
Other values (4) 6
 
3.8%
Hangul
ValueCountFrequency (%)
대 26
 
8.4%
붕 18
 
5.8%
틀 14
 
4.5%
뜀 13
 
4.2%
종 12
 
3.9%
이 12
 
3.9%
미 12
 
3.9%
니 11
 
3.6%
봉 10
 
3.2%
스 9
 
2.9%
Other values (82) 172
55.7%

놀이시설수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)10.3%
Missing111
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean1.1911765
Minimum0
Maximum16
Zeros28
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:12.140684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.1734995
Coefficient of variation (CV)1.8246662
Kurtosis32.497103
Mean1.1911765
Median Absolute Deviation (MAD)1
Skewness5.0485838
Sum81
Variance4.7241001
MonotonicityNot monotonic
2024-04-19T15:02:12.242212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 28
 
15.6%
1 25
 
14.0%
2 8
 
4.5%
4 2
 
1.1%
5 2
 
1.1%
3 2
 
1.1%
16 1
 
0.6%
(Missing) 111
62.0%
ValueCountFrequency (%)
0 28
15.6%
1 25
14.0%
2 8
 
4.5%
3 2
 
1.1%
4 2
 
1.1%
5 2
 
1.1%
16 1
 
0.6%
ValueCountFrequency (%)
16 1
 
0.6%
5 2
 
1.1%
4 2
 
1.1%
3 2
 
1.1%
2 8
 
4.5%
1 25
14.0%
0 28
15.6%

방송시설유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing175
Missing (%)97.8%
Memory size490.0 B
False
 
2
True
 
2
(Missing)
175 
ValueCountFrequency (%)
False 2
 
1.1%
True 2
 
1.1%
(Missing) 175
97.8%
2024-04-19T15:02:12.345257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)66.7%
Missing176
Missing (%)98.3%
Memory size490.0 B
False
 
2
True
 
1
(Missing)
176 
ValueCountFrequency (%)
False 2
 
1.1%
True 1
 
0.6%
(Missing) 176
98.3%
2024-04-19T15:02:12.427043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing175
Missing (%)97.8%
Memory size490.0 B
False
 
2
True
 
2
(Missing)
175 
ValueCountFrequency (%)
False 2
 
1.1%
True 2
 
1.1%
(Missing) 175
97.8%
2024-04-19T15:02:12.508763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)40.0%
Missing174
Missing (%)97.2%
Memory size490.0 B
True
 
3
False
 
2
(Missing)
174 
ValueCountFrequency (%)
True 3
 
1.7%
False 2
 
1.1%
(Missing) 174
97.2%
2024-04-19T15:02:12.591900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

자본금
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
139 
0
40 

Length

Max length4
Median length4
Mean length3.3296089
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> 139
77.7%
0 40
 
22.3%

Length

2024-04-19T15:02:12.694000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:02:13.132076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
77.7%
0 40
 
22.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)35.3%
Missing128
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean153.03922
Minimum0
Maximum1918
Zeros34
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-19T15:02:13.257057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3130
95-th percentile919.5
Maximum1918
Range1918
Interquartile range (IQR)130

Descriptive statistics

Standard deviation385.4935
Coefficient of variation (CV)2.5189197
Kurtosis12.170619
Mean153.03922
Median Absolute Deviation (MAD)0
Skewness3.4798252
Sum7805
Variance148605.24
MonotonicityNot monotonic
2024-04-19T15:02:13.397058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 34
 
19.0%
183 1
 
0.6%
100 1
 
0.6%
480 1
 
0.6%
191 1
 
0.6%
1359 1
 
0.6%
214 1
 
0.6%
389 1
 
0.6%
71 1
 
0.6%
73 1
 
0.6%
Other values (8) 8
 
4.5%
(Missing) 128
71.5%
ValueCountFrequency (%)
0 34
19.0%
50 1
 
0.6%
71 1
 
0.6%
73 1
 
0.6%
100 1
 
0.6%
160 1
 
0.6%
183 1
 
0.6%
191 1
 
0.6%
213 1
 
0.6%
214 1
 
0.6%
ValueCountFrequency (%)
1918 1
0.6%
1489 1
0.6%
1359 1
0.6%
480 1
0.6%
389 1
0.6%
378 1
0.6%
311 1
0.6%
226 1
0.6%
214 1
0.6%
213 1
0.6%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01유원시설업(기타)03_07_08_P3410000CDFI527200200700000120070613<NA>3폐업3폐업20110104<NA><NA><NA><NA><NA>700191대구광역시 중구 종로1가 29-4번지대구광역시 중구 국채보상로 547 (종로1가)<NA>에덴카니발20110105092216I2018-08-31 23:59:59.0<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_P3410000CDFI527200201600000720160930<NA>3폐업34영업장폐쇄20190211<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 18-11대구광역시 중구 동성로5길 41, 1층 (삼덕동1가)41941뽑아방20190211102502U2019-02-13 02:40:00.0<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_P3410000CDFI527200201600000120160202<NA>3폐업3폐업20200630<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 18-24대구광역시 중구 동성로5길 55, 지하1층 (삼덕동1가)41941총형스포츠 홈런짱20200630105241U2020-07-02 02:40:00.0<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_P3410000CDFI527200201600000220160714<NA>3폐업3폐업20210729<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)41937야사노 대구동성로점20210730101228U2021-08-01 02:40:00.0<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_P3410000CDFI527200201600000320160718<NA>3폐업3폐업20160912<NA><NA><NA>053-476-9912<NA><NA>대구광역시 중구 대봉동 655-1 (생활체육광장내)<NA><NA>대구광역시 시설관리공단20160912103444I2018-08-31 23:59:59.0<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_P3410000CDFI527200201600000520160913<NA>3폐업3폐업20180919<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-9대구광역시 중구 동성로5길 75, 1층 (삼덕동1가)41941푸쉬푸쉬20180919093423U2018-09-19 23:59:59.0<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_P3410000CDFI527200201600000620160913<NA>3폐업3폐업20181031<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 59-1대구광역시 중구 동성로5길 84, 1층 (삼덕동1가)41942시피 스마일토이20181102095438U2018-11-04 02:35:46.0<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_P3410000CDFI527200201600000820161013<NA>3폐업3폐업20170209<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 39-10대구광역시 중구 동성로 52-2 (동성로2가)41913$10 House20170209163532I2018-08-31 23:59:59.0<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>
89유원시설업(기타)03_07_08_P3410000CDFI527200201600000920161024<NA>3폐업3폐업20171129<NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 144-3대구광역시 중구 동성로 20-1 (동성로2가)41941노리터20171129100908I2018-08-31 23:59:59.0<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>
910유원시설업(기타)03_07_08_P3410000CDFI527200201600001020161028<NA>3폐업3폐업20181016<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-3대구광역시 중구 동성로5길 77, 1층 (삼덕동1가)41941인형짱20181024095204U2018-10-26 02:35:57.0<NA>344325.465742264192.074761신고유원시설업<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
169170유원시설업(기타)03_07_08_P3480000CDFI527200201900000420190729<NA>3폐업3폐업20190825<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 성산리 310번지 화원유원지대구광역시 달성군 화원읍 사문진로1길 40-14, 화원유원지42941화원동산 물놀이장20191028172559U2019-10-30 02:40:00.0<NA>333854.317766258064.058453신고유원시설업<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>
170171유원시설업(기타)03_07_08_P3480000CDFI527200201900000320190725<NA>3폐업3폐업20190818<NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 534-1번지 대구숲대구광역시 달성군 가창면 가창로 1003, 대구숲42936대구숲 물놀이장20191028172517U2019-10-30 02:40:00.0<NA>346876.099778255998.649989신고유원시설업<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>
171172유원시설업(기타)03_07_08_P3480000CDFI527200201800000620180725<NA>3폐업3폐업20220225<NA><NA><NA>0536142361<NA><NA>대구광역시 달성군 옥포읍 교항리 2933대구광역시 달성군 옥포읍 돌미상업로 10, 3층42974큐비쥬노리카페20220405091521U2022-04-07 02:40:00.0<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>
172173유원시설업(기타)03_07_08_P3480000CDFI527200201800000720180807<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 806번지 강정보통합관리센터대구광역시 달성군 다사읍 강정본길 57, 강정보통합관리센터42917주식회사 금호토탈20181011160558U2018-10-11 23:59:59.0<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>
173174유원시설업(기타)03_07_08_P3480000CDFI527200201800000120180528<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-7983<NA><NA>대구광역시 달성군 옥포면 교항리 2921번지 5층대구광역시 달성군 옥포면 돌미상업로2길 1, 5층42974제나드20180530132242I2018-08-31 23:59:59.0<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>
174175유원시설업(기타)03_07_08_P3480000CDFI527200201800000220180615<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 3층43008실버스타20180615172507I2018-08-31 23:59:59.0<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>
175176유원시설업(기타)03_07_08_P3480000CDFI527200201800000320180618<NA>1영업/정상13영업중<NA><NA><NA><NA>0535880022<NA><NA>대구광역시 달성군 다사읍 서재리 810 4층대구광역시 달성군 다사읍 서재로7길 36, 4층42929노리파크 대구서재점20220426175217U2022-04-28 02:40:00.0<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>
176177유원시설업(기타)03_07_08_P3480000CDFI527200201800000420180619<NA>1영업/정상13영업중<NA><NA><NA><NA>0535855780<NA><NA>대구광역시 달성군 다사읍 매곡리 1546-7번지 9층대구광역시 달성군 다사읍 달구벌대로 861, 9층42914스카이점핑랜드 죽곡점20180619110901I2018-08-31 23:59:59.0<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>
177178유원시설업(기타)03_07_08_P3480000CDFI527200201900000520191128<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-7715<NA><NA>대구광역시 달성군 다사읍 세천리 1580-9번지대구광역시 달성군 다사읍 세천로 157, 디에스파크빌딩 4층42922제페토키즈카페20191128135217I2019-11-30 00:23:27.0<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>
178179유원시설업(기타)03_07_08_P3480000CDFI527200200900000120090921<NA>3폐업3폐업20181119<NA><NA><NA><NA><NA>711810대구광역시 달성군 다사읍 매곡리 718번지대구광역시 달성군 다사읍 달구벌대로 800-442915우방트램플린20181119103357U2018-11-21 02:36:16.0<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>