Overview

Dataset statistics

Number of variables63
Number of observations156
Missing cells5230
Missing cells (%)53.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory83.3 KiB
Average record size in memory546.8 B

Variable types

Numeric12
Categorical17
Unsupported23
Text6
DateTime1
Boolean4

Dataset

Description6270000_대구광역시_03_07_08_P_유원시설업(기타)_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085850&dataSetDetailId=DDI_0000085870&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.4%)Imbalance
휴업종료일자 is highly imbalanced (94.4%)Imbalance
문화사업자구분명 is highly imbalanced (86.3%)Imbalance
지역구분명 is highly imbalanced (77.7%)Imbalance
총층수 is highly imbalanced (90.1%)Imbalance
건물용도명 is highly imbalanced (79.0%)Imbalance
지상층수 is highly imbalanced (89.5%)Imbalance
지하층수 is highly imbalanced (86.3%)Imbalance
인허가취소일자 has 156 (100.0%) missing valuesMissing
폐업일자 has 82 (52.6%) missing valuesMissing
재개업일자 has 156 (100.0%) missing valuesMissing
소재지전화 has 87 (55.8%) missing valuesMissing
소재지면적 has 156 (100.0%) missing valuesMissing
소재지우편번호 has 136 (87.2%) missing valuesMissing
도로명전체주소 has 9 (5.8%) missing valuesMissing
도로명우편번호 has 12 (7.7%) missing valuesMissing
업태구분명 has 156 (100.0%) missing valuesMissing
주변환경명 has 154 (98.7%) missing valuesMissing
제작취급품목내용 has 156 (100.0%) missing valuesMissing
보험기관명 has 156 (100.0%) missing valuesMissing
객실수 has 156 (100.0%) missing valuesMissing
건축연면적 has 156 (100.0%) missing valuesMissing
영문상호명 has 156 (100.0%) missing valuesMissing
영문상호주소 has 156 (100.0%) missing valuesMissing
선박총톤수 has 156 (100.0%) missing valuesMissing
선박척수 has 156 (100.0%) missing valuesMissing
선박제원 has 156 (100.0%) missing valuesMissing
무대면적 has 156 (100.0%) missing valuesMissing
좌석수 has 156 (100.0%) missing valuesMissing
기념품종류 has 156 (100.0%) missing valuesMissing
회의실별동시수용인원 has 156 (100.0%) missing valuesMissing
시설면적 has 145 (92.9%) missing valuesMissing
놀이기구수내역 has 143 (91.7%) missing valuesMissing
놀이시설수 has 119 (76.3%) missing valuesMissing
방송시설유무 has 152 (97.4%) missing valuesMissing
발전시설유무 has 153 (98.1%) missing valuesMissing
의무실유무 has 152 (97.4%) missing valuesMissing
안내소유무 has 151 (96.8%) missing valuesMissing
기획여행보험시작일자 has 156 (100.0%) missing valuesMissing
기획여행보험종료일자 has 156 (100.0%) missing valuesMissing
자본금 has 156 (100.0%) missing valuesMissing
보험시작일자 has 156 (100.0%) missing valuesMissing
보험종료일자 has 156 (100.0%) missing valuesMissing
부대시설내역 has 156 (100.0%) missing valuesMissing
시설규모 has 145 (92.9%) 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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 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
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
자본금 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
놀이시설수 has 6 (3.8%) zerosZeros

Reproduction

Analysis started2023-12-10 19:02:29.094730
Analysis finished2023-12-10 19:02:30.091209
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct156
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.5
Minimum1
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:30.194114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.75
Q139.75
median78.5
Q3117.25
95-th percentile148.25
Maximum156
Range155
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation45.177428
Coefficient of variation (CV)0.57550864
Kurtosis-1.2
Mean78.5
Median Absolute Deviation (MAD)39
Skewness0
Sum12246
Variance2041
MonotonicityStrictly increasing
2023-12-11T04:02:30.405689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
109 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
110 1
 
0.6%
Other values (146) 146
93.6%
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 (%)
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유원시설업(기타)
156 

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) 156
100.0%

Length

2023-12-11T04:02:30.618289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:30.758845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 156
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
03_07_08_P
156 

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 156
100.0%

Length

2023-12-11T04:02:30.913894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:31.049165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 156
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446794.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:31.172348image/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 deviation23718.434
Coefficient of variation (CV)0.0068813012
Kurtosis-1.2510326
Mean3446794.9
Median Absolute Deviation (MAD)20000
Skewness-0.27547366
Sum5.377 × 108
Variance5.625641 × 108
MonotonicityIncreasing
2023-12-11T04:02:31.339286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 39
25.0%
3470000 25
16.0%
3410000 23
14.7%
3420000 23
14.7%
3480000 19
12.2%
3460000 18
11.5%
3430000 5
 
3.2%
3440000 4
 
2.6%
ValueCountFrequency (%)
3410000 23
14.7%
3420000 23
14.7%
3430000 5
 
3.2%
3440000 4
 
2.6%
3450000 39
25.0%
3460000 18
11.5%
3470000 25
16.0%
3480000 19
12.2%
ValueCountFrequency (%)
3480000 19
12.2%
3470000 25
16.0%
3460000 18
11.5%
3450000 39
25.0%
3440000 4
 
2.6%
3430000 5
 
3.2%
3420000 23
14.7%
3410000 23
14.7%

관리번호
Categorical

Distinct48
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
CDFI5272002016000001
 
8
CDFI5272002016000002
 
7
CDFI5272002017000001
 
7
CDFI5272002016000003
 
6
CDFI5272002017000002
 
6
Other values (43)
122 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique15 ?
Unique (%)9.6%

Sample

1st rowCDFI5272002020000001
2nd rowCDFI5272002019000003
3rd rowCDFI5272002019000001
4th rowCDFI5272002019000002
5th rowCDFI5272002016000004

Common Values

ValueCountFrequency (%)
CDFI5272002016000001 8
 
5.1%
CDFI5272002016000002 7
 
4.5%
CDFI5272002017000001 7
 
4.5%
CDFI5272002016000003 6
 
3.8%
CDFI5272002017000002 6
 
3.8%
CDFI5272002018000002 6
 
3.8%
CDFI5272002019000003 6
 
3.8%
CDFI5272002018000001 6
 
3.8%
CDFI5272002019000002 6
 
3.8%
CDFI5272002019000001 6
 
3.8%
Other values (38) 92
59.0%

Length

2023-12-11T04:02:31.539354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi5272002016000001 8
 
5.1%
cdfi5272002017000001 7
 
4.5%
cdfi5272002016000002 7
 
4.5%
cdfi5272002016000003 6
 
3.8%
cdfi5272002017000002 6
 
3.8%
cdfi5272002018000002 6
 
3.8%
cdfi5272002019000003 6
 
3.8%
cdfi5272002018000001 6
 
3.8%
cdfi5272002019000002 6
 
3.8%
cdfi5272002019000001 6
 
3.8%
Other values (38) 92
59.0%

인허가일자
Real number (ℝ)

Distinct136
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20166834
Minimum19930810
Maximum20200814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:31.700755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930810
5-th percentile20110692
Q120160809
median20170768
Q320181070
95-th percentile20191220
Maximum20200814
Range270004
Interquartile range (IQR)20260.75

Descriptive statistics

Standard deviation30772.862
Coefficient of variation (CV)0.0015259144
Kurtosis24.292118
Mean20166834
Median Absolute Deviation (MAD)10049.5
Skewness-3.9337361
Sum3.146026 × 109
Variance9.4696906 × 108
MonotonicityNot monotonic
2023-12-11T04:02:31.914007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191220 4
 
2.6%
20161028 3
 
1.9%
20160831 2
 
1.3%
20190725 2
 
1.3%
20171102 2
 
1.3%
20161006 2
 
1.3%
20191204 2
 
1.3%
20190830 2
 
1.3%
20161214 2
 
1.3%
20190807 2
 
1.3%
Other values (126) 133
85.3%
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 (%)
20200814 1
 
0.6%
20200727 1
 
0.6%
20200721 1
 
0.6%
20200422 1
 
0.6%
20200212 1
 
0.6%
20200130 1
 
0.6%
20200122 1
 
0.6%
20191220 4
2.6%
20191213 1
 
0.6%
20191204 2
1.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
80 
1
75 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 80
51.3%
1 75
48.1%
2 1
 
0.6%

Length

2023-12-11T04:02:32.087771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:32.268400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 80
51.3%
1 75
48.1%
2 1
 
0.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
80 
영업/정상
75 
휴업
 
1

Length

Max length5
Median length2
Mean length3.4423077
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 80
51.3%
영업/정상 75
48.1%
휴업 1
 
0.6%

Length

2023-12-11T04:02:32.448225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:32.572808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 80
51.3%
영업/정상 75
48.1%
휴업 1
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
78 
13
75 
34
 
2
2
 
1

Length

Max length2
Median length1
Mean length1.4935897
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row13
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
3 78
50.0%
13 75
48.1%
34 2
 
1.3%
2 1
 
0.6%

Length

2023-12-11T04:02:32.745631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:32.887632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 78
50.0%
13 75
48.1%
34 2
 
1.3%
2 1
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
78 
영업중
75 
영업장폐쇄
 
2
휴업
 
1

Length

Max length5
Median length2
Mean length2.5192308
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 78
50.0%
영업중 75
48.1%
영업장폐쇄 2
 
1.3%
휴업 1
 
0.6%

Length

2023-12-11T04:02:33.021189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:33.169273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 78
50.0%
영업중 75
48.1%
영업장폐쇄 2
 
1.3%
휴업 1
 
0.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)87.8%
Missing82
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean20172156
Minimum20071214
Maximum20200818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:33.344175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071214
5-th percentile20120388
Q120170236
median20180322
Q320190527
95-th percentile20200358
Maximum20200818
Range129604
Interquartile range (IQR)20291.25

Descriptive statistics

Standard deviation26579.781
Coefficient of variation (CV)0.001317647
Kurtosis2.9698304
Mean20172156
Median Absolute Deviation (MAD)10189.5
Skewness-1.6864373
Sum1.4927396 × 109
Variance7.0648477 × 108
MonotonicityNot monotonic
2023-12-11T04:02:33.519989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 4
 
2.6%
20190818 3
 
1.9%
20180820 2
 
1.3%
20190129 2
 
1.3%
20180103 2
 
1.3%
20170820 2
 
1.3%
20140824 1
 
0.6%
20200409 1
 
0.6%
20140301 1
 
0.6%
20140224 1
 
0.6%
Other values (55) 55
35.3%
(Missing) 82
52.6%
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 (%)
20200818 1
0.6%
20200813 1
0.6%
20200630 1
0.6%
20200409 1
0.6%
20200331 1
0.6%
20200302 1
0.6%
20200226 1
0.6%
20200217 1
0.6%
20191107 1
0.6%
20190906 1
0.6%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
155 
20200217
 
1

Length

Max length8
Median length4
Mean length4.025641
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> 155
99.4%
20200217 1
 
0.6%

Length

2023-12-11T04:02:33.674708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:33.805654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
99.4%
20200217 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
155 
20200331
 
1

Length

Max length8
Median length4
Mean length4.025641
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> 155
99.4%
20200331 1
 
0.6%

Length

2023-12-11T04:02:33.959695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:34.090745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
99.4%
20200331 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

소재지전화
Text

MISSING 

Distinct64
Distinct (%)92.8%
Missing87
Missing (%)55.8%
Memory size1.3 KiB
2023-12-11T04:02:34.367938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.608696
Min length8

Characters and Unicode

Total characters801
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

Unique60 ?
Unique (%)87.0%

Sample

1st row1670-1939
2nd row053-476-9912
3rd row053-219-7907
4th row053-245-2610
5th row053-476-9912
ValueCountFrequency (%)
053-476-9912 3
 
4.3%
053-382-7979 2
 
2.9%
053-476-9915 2
 
2.9%
053-985-9850 2
 
2.9%
053-651-0915 1
 
1.4%
521-2222 1
 
1.4%
1670-1939 1
 
1.4%
053-631-7771 1
 
1.4%
588-1288 1
 
1.4%
053-637-8501 1
 
1.4%
Other values (54) 54
78.3%
2023-12-11T04:02:34.891582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 129
16.1%
5 113
14.1%
- 111
13.9%
3 107
13.4%
2 66
8.2%
1 56
7.0%
9 54
6.7%
7 46
 
5.7%
6 46
 
5.7%
8 46
 
5.7%
Other values (4) 27
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 685
85.5%
Dash Punctuation 111
 
13.9%
Other Punctuation 5
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 129
18.8%
5 113
16.5%
3 107
15.6%
2 66
9.6%
1 56
8.2%
9 54
7.9%
7 46
 
6.7%
6 46
 
6.7%
8 46
 
6.7%
4 22
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
/ 2
40.0%
, 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 801
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 129
16.1%
5 113
14.1%
- 111
13.9%
3 107
13.4%
2 66
8.2%
1 56
7.0%
9 54
6.7%
7 46
 
5.7%
6 46
 
5.7%
8 46
 
5.7%
Other values (4) 27
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 129
16.1%
5 113
14.1%
- 111
13.9%
3 107
13.4%
2 66
8.2%
1 56
7.0%
9 54
6.7%
7 46
 
5.7%
6 46
 
5.7%
8 46
 
5.7%
Other values (4) 27
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing136
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean704497.4
Minimum700191
Maximum711839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:35.082494image/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
2023-12-11T04:02:35.254054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
701170 2
 
1.3%
702712 2
 
1.3%
706130 1
 
0.6%
711810 1
 
0.6%
711821 1
 
0.6%
711839 1
 
0.6%
704060 1
 
0.6%
704806 1
 
0.6%
706813 1
 
0.6%
700191 1
 
0.6%
Other values (8) 8
 
5.1%
(Missing) 136
87.2%
ValueCountFrequency (%)
700191 1
0.6%
700431 1
0.6%
701024 1
0.6%
701170 2
1.3%
702062 1
0.6%
702712 2
1.3%
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

Distinct145
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T04:02:35.650980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length39
Mean length25.358974
Min length13

Characters and Unicode

Total characters3956
Distinct characters206
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

Unique135 ?
Unique (%)86.5%

Sample

1st row대구광역시 중구 공평동 58-6
2nd row대구광역시 중구 대봉동 655-1번지
3rd row대구광역시 중구 남산동 2445-10번지
4th row대구광역시 중구 계산동2가 200번지 현대백화점
5th row대구광역시 중구 대봉동 4-2
ValueCountFrequency (%)
대구광역시 154
 
20.8%
북구 37
 
5.0%
달서구 25
 
3.4%
동구 23
 
3.1%
중구 23
 
3.1%
달성군 19
 
2.6%
수성구 18
 
2.4%
동천동 13
 
1.8%
산격동 8
 
1.1%
다사읍 7
 
0.9%
Other values (282) 415
55.9%
2023-12-11T04:02:36.665561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
749
18.9%
구 308
 
7.8%
대 188
 
4.8%
동 184
 
4.7%
시 161
 
4.1%
광 157
 
4.0%
역 156
 
3.9%
1 146
 
3.7%
지 144
 
3.6%
번 137
 
3.5%
Other values (196) 1626
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2363
59.7%
Space Separator 749
 
18.9%
Decimal Number 705
 
17.8%
Dash Punctuation 106
 
2.7%
Lowercase Letter 14
 
0.4%
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 308
 
13.0%
대 188
 
8.0%
동 184
 
7.8%
시 161
 
6.8%
광 157
 
6.6%
역 156
 
6.6%
지 144
 
6.1%
번 137
 
5.8%
성 65
 
2.8%
달 44
 
1.9%
Other values (168) 819
34.7%
Decimal Number
ValueCountFrequency (%)
1 146
20.7%
2 102
14.5%
3 72
10.2%
5 68
9.6%
0 62
8.8%
6 60
8.5%
4 56
 
7.9%
8 56
 
7.9%
9 45
 
6.4%
7 38
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
p 2
14.3%
s 2
14.3%
u 2
14.3%
l 2
14.3%
o 2
14.3%
e 2
14.3%
m 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 (%)
749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
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 2363
59.7%
Common 1576
39.8%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 308
 
13.0%
대 188
 
8.0%
동 184
 
7.8%
시 161
 
6.8%
광 157
 
6.6%
역 156
 
6.6%
지 144
 
6.1%
번 137
 
5.8%
성 65
 
2.8%
달 44
 
1.9%
Other values (168) 819
34.7%
Common
ValueCountFrequency (%)
749
47.5%
1 146
 
9.3%
- 106
 
6.7%
2 102
 
6.5%
3 72
 
4.6%
5 68
 
4.3%
0 62
 
3.9%
6 60
 
3.8%
4 56
 
3.6%
8 56
 
3.6%
Other values (9) 99
 
6.3%
Latin
ValueCountFrequency (%)
p 2
11.8%
H 2
11.8%
s 2
11.8%
u 2
11.8%
l 2
11.8%
o 2
11.8%
e 2
11.8%
m 2
11.8%
G 1
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2363
59.7%
ASCII 1592
40.2%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
749
47.0%
1 146
 
9.2%
- 106
 
6.7%
2 102
 
6.4%
3 72
 
4.5%
5 68
 
4.3%
0 62
 
3.9%
6 60
 
3.8%
4 56
 
3.5%
8 56
 
3.5%
Other values (17) 115
 
7.2%
Hangul
ValueCountFrequency (%)
구 308
 
13.0%
대 188
 
8.0%
동 184
 
7.8%
시 161
 
6.8%
광 157
 
6.6%
역 156
 
6.6%
지 144
 
6.1%
번 137
 
5.8%
성 65
 
2.8%
달 44
 
1.9%
Other values (168) 819
34.7%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct144
Distinct (%)98.0%
Missing9
Missing (%)5.8%
Memory size1.3 KiB
2023-12-11T04:02:37.083122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length43
Mean length30.92517
Min length21

Characters and Unicode

Total characters4546
Distinct characters237
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

Unique141 ?
Unique (%)95.9%

Sample

1st row대구광역시 중구 동성로6길 61, 5층 (공평동)
2nd row대구광역시 중구 남산로 48, 서진빌등 4층 (남산동)
3rd row대구광역시 중구 달구벌대로 2077, 현대백화점 6층 (계산동2가)
4th row대구광역시 중구 달구벌대로450길 18 (대봉동)
5th row대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)
ValueCountFrequency (%)
대구광역시 145
 
15.7%
북구 35
 
3.8%
달서구 25
 
2.7%
동구 23
 
2.5%
3층 19
 
2.1%
달성군 18
 
1.9%
중구 18
 
1.9%
수성구 17
 
1.8%
1층 16
 
1.7%
4층 14
 
1.5%
Other values (354) 595
64.3%
2023-12-11T04:02:37.679856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
786
 
17.3%
구 309
 
6.8%
동 213
 
4.7%
대 202
 
4.4%
시 159
 
3.5%
역 149
 
3.3%
로 148
 
3.3%
광 146
 
3.2%
1 145
 
3.2%
) 133
 
2.9%
Other values (227) 2156
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2651
58.3%
Space Separator 786
 
17.3%
Decimal Number 664
 
14.6%
Other Punctuation 135
 
3.0%
Close Punctuation 133
 
2.9%
Open Punctuation 132
 
2.9%
Dash Punctuation 25
 
0.5%
Uppercase Letter 11
 
0.2%
Lowercase Letter 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 309
 
11.7%
동 213
 
8.0%
대 202
 
7.6%
시 159
 
6.0%
역 149
 
5.6%
로 148
 
5.6%
광 146
 
5.5%
층 85
 
3.2%
성 73
 
2.8%
달 57
 
2.2%
Other values (192) 1110
41.9%
Decimal Number
ValueCountFrequency (%)
1 145
21.8%
2 107
16.1%
4 73
11.0%
3 72
10.8%
0 66
9.9%
5 47
 
7.1%
8 43
 
6.5%
6 40
 
6.0%
9 37
 
5.6%
7 34
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
X 2
18.2%
J 2
18.2%
Y 2
18.2%
D 1
9.1%
S 1
9.1%
G 1
9.1%
H 1
9.1%
B 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
14.3%
m 1
14.3%
o 1
14.3%
p 1
14.3%
l 1
14.3%
u 1
14.3%
s 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 131
97.0%
: 2
 
1.5%
. 1
 
0.7%
* 1
 
0.7%
Space Separator
ValueCountFrequency (%)
786
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2651
58.3%
Common 1877
41.3%
Latin 18
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 309
 
11.7%
동 213
 
8.0%
대 202
 
7.6%
시 159
 
6.0%
역 149
 
5.6%
로 148
 
5.6%
광 146
 
5.5%
층 85
 
3.2%
성 73
 
2.8%
달 57
 
2.2%
Other values (192) 1110
41.9%
Common
ValueCountFrequency (%)
786
41.9%
1 145
 
7.7%
) 133
 
7.1%
( 132
 
7.0%
, 131
 
7.0%
2 107
 
5.7%
4 73
 
3.9%
3 72
 
3.8%
0 66
 
3.5%
5 47
 
2.5%
Other values (10) 185
 
9.9%
Latin
ValueCountFrequency (%)
X 2
 
11.1%
J 2
 
11.1%
Y 2
 
11.1%
D 1
 
5.6%
S 1
 
5.6%
G 1
 
5.6%
e 1
 
5.6%
m 1
 
5.6%
o 1
 
5.6%
H 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2651
58.3%
ASCII 1894
41.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
786
41.5%
1 145
 
7.7%
) 133
 
7.0%
( 132
 
7.0%
, 131
 
6.9%
2 107
 
5.6%
4 73
 
3.9%
3 72
 
3.8%
0 66
 
3.5%
5 47
 
2.5%
Other values (24) 202
 
10.7%
Hangul
ValueCountFrequency (%)
구 309
 
11.7%
동 213
 
8.0%
대 202
 
7.6%
시 159
 
6.0%
역 149
 
5.6%
로 148
 
5.6%
광 146
 
5.5%
층 85
 
3.2%
성 73
 
2.8%
달 57
 
2.2%
Other values (192) 1110
41.9%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)67.4%
Missing12
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean74255.264
Minimum41065
Maximum704804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:37.888480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41065
5-th percentile41105
Q141484.25
median41946.5
Q342704.75
95-th percentile53730.25
Maximum704804
Range663739
Interquartile range (IQR)1220.5

Descriptive statistics

Standard deviation142504.38
Coefficient of variation (CV)1.9191149
Kurtosis16.218767
Mean74255.264
Median Absolute Deviation (MAD)532.5
Skewness4.2416747
Sum10692758
Variance2.0307499 × 1010
MonotonicityNot monotonic
2023-12-11T04:02:38.116656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 8
 
5.1%
41941 6
 
3.8%
42274 5
 
3.2%
41229 4
 
2.6%
42941 4
 
2.6%
42250 4
 
2.6%
41586 3
 
1.9%
41938 3
 
1.9%
41544 2
 
1.3%
41593 2
 
1.3%
Other values (87) 103
66.0%
(Missing) 12
 
7.7%
ValueCountFrequency (%)
41065 1
0.6%
41067 1
0.6%
41083 1
0.6%
41084 2
1.3%
41087 1
0.6%
41097 1
0.6%
41105 2
1.3%
41106 1
0.6%
41144 2
1.3%
41147 1
0.6%
ValueCountFrequency (%)
704804 1
 
0.6%
702885 1
 
0.6%
702712 2
1.3%
701829 1
 
0.6%
701170 2
1.3%
54829 1
 
0.6%
47504 1
 
0.6%
43008 1
 
0.6%
42974 2
1.3%
42941 4
2.6%

사업장명
Text

Distinct151
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T04:02:38.584517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.6089744
Min length2

Characters and Unicode

Total characters1187
Distinct characters259
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)93.6%

Sample

1st row유한회사 스파크
2nd row대구시설공단(신천둔치)
3rd row통콩팡플레이키즈
4th row릴리펏 현대백화점대구점
5th row와이에스피 테크(팡팡)
ValueCountFrequency (%)
주식회사 6
 
2.5%
물놀이장 5
 
2.1%
화원동산 4
 
1.7%
키즈카페 4
 
1.7%
대구수성점 3
 
1.3%
스카이점핑랜드 3
 
1.3%
맥스라이더 3
 
1.3%
2020 2
 
0.8%
맘편한 2
 
0.8%
칠곡점 2
 
0.8%
Other values (190) 202
85.6%
2023-12-11T04:02:39.386056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
6.7%
점 48
 
4.0%
이 46
 
3.9%
스 32
 
2.7%
리 28
 
2.4%
키 26
 
2.2%
대 24
 
2.0%
즈 24
 
2.0%
드 23
 
1.9%
카 21
 
1.8%
Other values (249) 835
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
85.1%
Space Separator 80
 
6.7%
Uppercase Letter 30
 
2.5%
Lowercase Letter 19
 
1.6%
Close Punctuation 16
 
1.3%
Open Punctuation 16
 
1.3%
Decimal Number 14
 
1.2%
Currency Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 48
 
4.8%
이 46
 
4.6%
스 32
 
3.2%
리 28
 
2.8%
키 26
 
2.6%
대 24
 
2.4%
즈 24
 
2.4%
드 23
 
2.3%
카 21
 
2.1%
구 20
 
2.0%
Other values (209) 718
71.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
 
10.0%
D 2
 
6.7%
A 2
 
6.7%
L 2
 
6.7%
P 2
 
6.7%
E 2
 
6.7%
M 2
 
6.7%
O 2
 
6.7%
V 2
 
6.7%
R 2
 
6.7%
Other values (8) 9
30.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.8%
u 3
15.8%
t 2
10.5%
e 2
10.5%
d 1
 
5.3%
a 1
 
5.3%
l 1
 
5.3%
h 1
 
5.3%
f 1
 
5.3%
o 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 (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
85.1%
Common 128
 
10.8%
Latin 49
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 48
 
4.8%
이 46
 
4.6%
스 32
 
3.2%
리 28
 
2.8%
키 26
 
2.6%
대 24
 
2.4%
즈 24
 
2.4%
드 23
 
2.3%
카 21
 
2.1%
구 20
 
2.0%
Other values (209) 718
71.1%
Latin
ValueCountFrequency (%)
n 3
 
6.1%
u 3
 
6.1%
C 3
 
6.1%
t 2
 
4.1%
D 2
 
4.1%
A 2
 
4.1%
L 2
 
4.1%
P 2
 
4.1%
E 2
 
4.1%
M 2
 
4.1%
Other values (21) 26
53.1%
Common
ValueCountFrequency (%)
80
62.5%
) 16
 
12.5%
( 16
 
12.5%
0 5
 
3.9%
2 5
 
3.9%
4 2
 
1.6%
1 2
 
1.6%
$ 1
 
0.8%
& 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
85.1%
ASCII 177
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
45.2%
) 16
 
9.0%
( 16
 
9.0%
0 5
 
2.8%
2 5
 
2.8%
n 3
 
1.7%
u 3
 
1.7%
C 3
 
1.7%
t 2
 
1.1%
D 2
 
1.1%
Other values (30) 42
23.7%
Hangul
ValueCountFrequency (%)
점 48
 
4.8%
이 46
 
4.6%
스 32
 
3.2%
리 28
 
2.8%
키 26
 
2.6%
대 24
 
2.4%
즈 24
 
2.4%
드 23
 
2.3%
카 21
 
2.1%
구 20
 
2.0%
Other values (209) 718
71.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct156
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0179707 × 1013
Minimum2.0071213 × 1013
Maximum2.0200821 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:39.652471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0071213 × 1013
5-th percentile2.0140291 × 1013
Q12.0171217 × 1013
median2.0180911 × 1013
Q32.0191048 × 1013
95-th percentile2.0200615 × 1013
Maximum2.0200821 × 1013
Range1.2960798 × 1011
Interquartile range (IQR)1.9831064 × 1010

Descriptive statistics

Standard deviation2.0846293 × 1010
Coefficient of variation (CV)0.0010330325
Kurtosis7.2037611
Mean2.0179707 × 1013
Median Absolute Deviation (MAD)9.9089735 × 109
Skewness-2.2633851
Sum3.1480342 × 1015
Variance4.3456795 × 1020
MonotonicityNot monotonic
2023-12-11T04:02:40.014074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200728165015 1
 
0.6%
20150901112116 1
 
0.6%
20200508165126 1
 
0.6%
20190218104621 1
 
0.6%
20180228142239 1
 
0.6%
20180321173413 1
 
0.6%
20180323152816 1
 
0.6%
20180517132515 1
 
0.6%
20180320160152 1
 
0.6%
20161017144348 1
 
0.6%
Other values (146) 146
93.6%
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 (%)
20200821143328 1
0.6%
20200814135054 1
0.6%
20200805203008 1
0.6%
20200728165015 1
0.6%
20200727140656 1
0.6%
20200710100733 1
0.6%
20200630105241 1
0.6%
20200623160104 1
0.6%
20200612140656 1
0.6%
20200612140335 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
92 
U
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 92
59.0%
U 64
41.0%

Length

2023-12-11T04:02:40.247118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:40.418551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 92
59.0%
u 64
41.0%

데이터갱신일자
Date

Distinct70
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2020-08-23 02:40:00
2023-12-11T04:02:40.651087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:02:40.960646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct129
Distinct (%)83.2%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean342593.75
Minimum211303.08
Maximum389194.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:41.235093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211303.08
5-th percentile332217.35
Q1339084.18
median343908.68
Q3346807.09
95-th percentile354197.06
Maximum389194.1
Range177891.02
Interquartile range (IQR)7722.9038

Descriptive statistics

Standard deviation12782.937
Coefficient of variation (CV)0.037312231
Kurtosis73.417889
Mean342593.75
Median Absolute Deviation (MAD)3781.751
Skewness-6.7766354
Sum53102031
Variance1.6340348 × 108
MonotonicityNot monotonic
2023-12-11T04:02:41.507767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352335.045028 4
 
2.6%
345144.121523 4
 
2.6%
347037.24197 4
 
2.6%
345549.11017 4
 
2.6%
344316.555049 2
 
1.3%
349426.805402 2
 
1.3%
355939.362329 2
 
1.3%
338508.03969 2
 
1.3%
347690.434441 2
 
1.3%
333854.317766 2
 
1.3%
Other values (119) 127
81.4%
ValueCountFrequency (%)
211303.084885 1
0.6%
328075.737317 1
0.6%
328325.875378 1
0.6%
330329.375725 1
0.6%
330334.179215 1
0.6%
331673.044158 1
0.6%
332182.055596 1
0.6%
332211.021477 1
0.6%
332220.064187 1
0.6%
332309.657776 1
0.6%
ValueCountFrequency (%)
389194.104289201 1
0.6%
355939.362329 2
1.3%
355855.955513 1
0.6%
355761.750376 1
0.6%
354753.469908 1
0.6%
354561.709483 1
0.6%
354219.069618 1
0.6%
354187.632432 1
0.6%
354186.294906 1
0.6%
354141.449476 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct129
Distinct (%)83.2%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean263471.48
Minimum190807.09
Maximum272735.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:41.751623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190807.09
5-th percentile257612.53
Q1261255.51
median264152
Q3265894.88
95-th percentile272532.74
Maximum272735.68
Range81928.583
Interquartile range (IQR)4639.3777

Descriptive statistics

Standard deviation7455.6392
Coefficient of variation (CV)0.028297709
Kurtosis58.791355
Mean263471.48
Median Absolute Deviation (MAD)2352.435
Skewness-6.1489038
Sum40838079
Variance55586556
MonotonicityNot monotonic
2023-12-11T04:02:41.994214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260158.750204 4
 
2.6%
263145.386419 4
 
2.6%
265407.404337 4
 
2.6%
268620.845678 4
 
2.6%
264349.421644 2
 
1.3%
266377.854784 2
 
1.3%
264777.243598 2
 
1.3%
258645.860959 2
 
1.3%
270271.225719 2
 
1.3%
258064.058453 2
 
1.3%
Other values (119) 127
81.4%
ValueCountFrequency (%)
190807.093033573 1
0.6%
240496.083286 1
0.6%
254527.243473 1
0.6%
254575.952264 1
0.6%
255360.475912 1
0.6%
255998.649989 2
1.3%
256882.85107 1
0.6%
257925.256214 2
1.3%
258064.058453 2
1.3%
258522.588099 1
0.6%
ValueCountFrequency (%)
272735.67566 2
1.3%
272659.975074 1
0.6%
272648.099805 1
0.6%
272576.782878 1
0.6%
272547.266998 1
0.6%
272540.517025 2
1.3%
272529.412925 1
0.6%
272501.710869 1
0.6%
272494.259811 1
0.6%
271895.648248 1
0.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
신고유원시설업
156 

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 156
100.0%

Length

2023-12-11T04:02:42.221833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:42.386632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 156
100.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
153 
유원시설업
 
3

Length

Max length5
Median length4
Mean length4.0192308
Min length4

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> 153
98.1%
유원시설업 3
 
1.9%

Length

2023-12-11T04:02:42.563568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:42.732315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
98.1%
유원시설업 3
 
1.9%

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
142 
일반주거지역
 
6
중심상업지역
 
4
상업지역
 
1
자연녹지지역
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.1666667
Min length4

Unique

Unique4 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
91.0%
일반주거지역 6
 
3.8%
중심상업지역 4
 
2.6%
상업지역 1
 
0.6%
자연녹지지역 1
 
0.6%
일반상업지역 1
 
0.6%
근린상업지역 1
 
0.6%

Length

2023-12-11T04:02:42.966208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:43.188283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
91.0%
일반주거지역 6
 
3.8%
중심상업지역 4
 
2.6%
상업지역 1
 
0.6%
자연녹지지역 1
 
0.6%
일반상업지역 1
 
0.6%
근린상업지역 1
 
0.6%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
154 
4
 
2

Length

Max length4
Median length4
Mean length3.9615385
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> 154
98.7%
4 2
 
1.3%

Length

2023-12-11T04:02:43.405651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:43.568212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
98.7%
4 2
 
1.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing154
Missing (%)98.7%
Memory size1.3 KiB
2023-12-11T04:02:43.688455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2023-12-11T04:02:44.006879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
148 
근린생활시설
 
6
유기장
 
2

Length

Max length6
Median length4
Mean length4.0641026
Min length3

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> 148
94.9%
근린생활시설 6
 
3.8%
유기장 2
 
1.3%

Length

2023-12-11T04:02:44.228786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:44.424330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
94.9%
근린생활시설 6
 
3.8%
유기장 2
 
1.3%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
152 
3
 
2
9
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.9230769
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 152
97.4%
3 2
 
1.3%
9 1
 
0.6%
7 1
 
0.6%

Length

2023-12-11T04:02:44.625497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:44.806396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
97.4%
3 2
 
1.3%
9 1
 
0.6%
7 1
 
0.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
153 
1
 
3

Length

Max length4
Median length4
Mean length3.9423077
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> 153
98.1%
1 3
 
1.9%

Length

2023-12-11T04:02:44.991361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:02:45.163012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 153
98.1%
1 3
 
1.9%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing145
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean316.01727
Minimum50
Maximum1488.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:45.299064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile61.45
Q1130
median191.25
Q3268.515
95-th percentile984.395
Maximum1488.79
Range1438.79
Interquartile range (IQR)138.515

Descriptive statistics

Standard deviation406.82752
Coefficient of variation (CV)1.2873585
Kurtosis8.5791411
Mean316.01727
Median Absolute Deviation (MAD)91.25
Skewness2.8394085
Sum3476.19
Variance165508.63
MonotonicityNot monotonic
2023-12-11T04:02:45.476547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
72.9 1
 
0.6%
50.0 1
 
0.6%
1488.79 1
 
0.6%
226.13 1
 
0.6%
213.06 1
 
0.6%
310.9 1
 
0.6%
160.0 1
 
0.6%
183.16 1
 
0.6%
480.0 1
 
0.6%
191.25 1
 
0.6%
(Missing) 145
92.9%
ValueCountFrequency (%)
50.0 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%
226.13 1
0.6%
310.9 1
0.6%
480.0 1
0.6%
ValueCountFrequency (%)
1488.79 1
0.6%
480.0 1
0.6%
310.9 1
0.6%
226.13 1
0.6%
213.06 1
0.6%
191.25 1
0.6%
183.16 1
0.6%
160.0 1
0.6%
100.0 1
0.6%
72.9 1
0.6%

놀이기구수내역
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing143
Missing (%)91.7%
Memory size1.3 KiB
2023-12-11T04:02:45.787248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length18
Mean length21.230769
Min length5

Characters and Unicode

Total characters276
Distinct characters104
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)84.6%

Sample

1st row심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관)
2nd row놀이형 미니에어바운스 1종 2대
3rd row총 11대
4th row미니 사격 1대
5th row인형뽑기 1대, 미니농구 1대
ValueCountFrequency (%)
1대 7
 
13.7%
붕붕뜀틀 5
 
9.8%
2
 
3.9%
미니농구 2
 
3.9%
인형뽑기 2
 
3.9%
2대 2
 
3.9%
펀치 1
 
2.0%
자동차경주 1
 
2.0%
에어하키 1
 
2.0%
3 1
 
2.0%
Other values (27) 27
52.9%
2023-12-11T04:02:46.351484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
15.2%
1 18
 
6.5%
대 14
 
5.1%
, 11
 
4.0%
붕 10
 
3.6%
2 10
 
3.6%
0 6
 
2.2%
스 6
 
2.2%
이 6
 
2.2%
뜀 5
 
1.8%
Other values (94) 148
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
54.3%
Decimal Number 44
 
15.9%
Space Separator 42
 
15.2%
Other Punctuation 21
 
7.6%
Lowercase Letter 14
 
5.1%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 14
 
9.3%
붕 10
 
6.7%
스 6
 
4.0%
이 6
 
4.0%
뜀 5
 
3.3%
틀 5
 
3.3%
니 5
 
3.3%
미 5
 
3.3%
기 4
 
2.7%
인 4
 
2.7%
Other values (65) 86
57.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
14.3%
e 2
14.3%
n 1
7.1%
v 1
7.1%
r 1
7.1%
c 1
7.1%
o 1
7.1%
m 1
7.1%
t 1
7.1%
z 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
1 18
40.9%
2 10
22.7%
0 6
 
13.6%
3 3
 
6.8%
5 2
 
4.5%
8 2
 
4.5%
6 2
 
4.5%
7 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 11
52.4%
. 5
23.8%
/ 3
 
14.3%
: 1
 
4.8%
@ 1
 
4.8%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
54.3%
Common 112
40.6%
Latin 14
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 14
 
9.3%
붕 10
 
6.7%
스 6
 
4.0%
이 6
 
4.0%
뜀 5
 
3.3%
틀 5
 
3.3%
니 5
 
3.3%
미 5
 
3.3%
기 4
 
2.7%
인 4
 
2.7%
Other values (65) 86
57.3%
Common
ValueCountFrequency (%)
42
37.5%
1 18
16.1%
, 11
 
9.8%
2 10
 
8.9%
0 6
 
5.4%
. 5
 
4.5%
3 3
 
2.7%
/ 3
 
2.7%
5 2
 
1.8%
8 2
 
1.8%
Other values (7) 10
 
8.9%
Latin
ValueCountFrequency (%)
a 2
14.3%
e 2
14.3%
n 1
7.1%
v 1
7.1%
r 1
7.1%
c 1
7.1%
o 1
7.1%
m 1
7.1%
t 1
7.1%
z 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
54.3%
ASCII 126
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
33.3%
1 18
14.3%
, 11
 
8.7%
2 10
 
7.9%
0 6
 
4.8%
. 5
 
4.0%
3 3
 
2.4%
/ 3
 
2.4%
5 2
 
1.6%
a 2
 
1.6%
Other values (19) 24
19.0%
Hangul
ValueCountFrequency (%)
대 14
 
9.3%
붕 10
 
6.7%
스 6
 
4.0%
이 6
 
4.0%
뜀 5
 
3.3%
틀 5
 
3.3%
니 5
 
3.3%
미 5
 
3.3%
기 4
 
2.7%
인 4
 
2.7%
Other values (65) 86
57.3%

놀이시설수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)16.2%
Missing119
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.5135135
Minimum0
Maximum16
Zeros6
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:46.527535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.2
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.577915
Coefficient of variation (CV)1.7032653
Kurtosis29.517171
Mean1.5135135
Median Absolute Deviation (MAD)0
Skewness5.2028947
Sum56
Variance6.6456456
MonotonicityNot monotonic
2023-12-11T04:02:46.688926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 23
 
14.7%
0 6
 
3.8%
2 5
 
3.2%
16 1
 
0.6%
4 1
 
0.6%
3 1
 
0.6%
(Missing) 119
76.3%
ValueCountFrequency (%)
0 6
 
3.8%
1 23
14.7%
2 5
 
3.2%
3 1
 
0.6%
4 1
 
0.6%
16 1
 
0.6%
ValueCountFrequency (%)
16 1
 
0.6%
4 1
 
0.6%
3 1
 
0.6%
2 5
 
3.2%
1 23
14.7%
0 6
 
3.8%

방송시설유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing152
Missing (%)97.4%
Memory size444.0 B
False
 
2
True
 
2
(Missing)
152 
ValueCountFrequency (%)
False 2
 
1.3%
True 2
 
1.3%
(Missing) 152
97.4%
2023-12-11T04:02:46.864859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)66.7%
Missing153
Missing (%)98.1%
Memory size444.0 B
False
 
2
True
 
1
(Missing)
153 
ValueCountFrequency (%)
False 2
 
1.3%
True 1
 
0.6%
(Missing) 153
98.1%
2023-12-11T04:02:47.000559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing152
Missing (%)97.4%
Memory size444.0 B
True
 
2
False
 
2
(Missing)
152 
ValueCountFrequency (%)
True 2
 
1.3%
False 2
 
1.3%
(Missing) 152
97.4%
2023-12-11T04:02:47.133396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)40.0%
Missing151
Missing (%)96.8%
Memory size444.0 B
True
 
3
False
 
2
(Missing)
151 
ValueCountFrequency (%)
True 3
 
1.9%
False 2
 
1.3%
(Missing) 151
96.8%
2023-12-11T04:02:47.259235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing156
Missing (%)100.0%
Memory size1.5 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing145
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean316
Minimum50
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T04:02:47.397363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile61.5
Q1130
median191
Q3268.5
95-th percentile984.5
Maximum1489
Range1439
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation406.89925
Coefficient of variation (CV)1.2876559
Kurtosis8.579932
Mean316
Median Absolute Deviation (MAD)91
Skewness2.8396214
Sum3476
Variance165567
MonotonicityNot monotonic
2023-12-11T04:02:47.582177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
73 1
 
0.6%
50 1
 
0.6%
1489 1
 
0.6%
226 1
 
0.6%
213 1
 
0.6%
311 1
 
0.6%
160 1
 
0.6%
183 1
 
0.6%
480 1
 
0.6%
191 1
 
0.6%
(Missing) 145
92.9%
ValueCountFrequency (%)
50 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%
226 1
0.6%
311 1
0.6%
480 1
0.6%
ValueCountFrequency (%)
1489 1
0.6%
480 1
0.6%
311 1
0.6%
226 1
0.6%
213 1
0.6%
191 1
0.6%
183 1
0.6%
160 1
0.6%
100 1
0.6%
73 1
0.6%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01유원시설업(기타)03_07_08_P3410000CDFI527200202000000120200122<NA>1영업/정상13영업중<NA><NA><NA><NA>1670-1939<NA><NA>대구광역시 중구 공평동 58-6대구광역시 중구 동성로6길 61, 5층 (공평동)41938유한회사 스파크20200728165015U2020-07-30 02:40:00.0<NA>344316.555049264349.421644신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12유원시설업(기타)03_07_08_P3410000CDFI527200201900000320190708<NA>3폐업3폐업20190818<NA><NA><NA>053-476-9912<NA><NA>대구광역시 중구 대봉동 655-1번지<NA><NA>대구시설공단(신천둔치)20190826114723U2019-08-28 02:40:00.0<NA>345144.121523263145.386419신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFI527200201900000120190228<NA>1영업/정상13영업중<NA><NA><NA><NA>053-219-7907<NA><NA>대구광역시 중구 남산동 2445-10번지대구광역시 중구 남산로 48, 서진빌등 4층 (남산동)41970통콩팡플레이키즈20190228145911I2019-03-02 02:21:37.0<NA>342899.611329263450.913066신고유원시설업<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>
34유원시설업(기타)03_07_08_P3410000CDFI527200201900000220190516<NA>1영업/정상13영업중<NA><NA><NA><NA>053-245-2610<NA><NA>대구광역시 중구 계산동2가 200번지 현대백화점대구광역시 중구 달구벌대로 2077, 현대백화점 6층 (계산동2가)41936릴리펏 현대백화점대구점20190516103325I2019-05-18 02:20:49.0<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>
45유원시설업(기타)03_07_08_P3410000CDFI527200201600000420160801<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 4-2대구광역시 중구 달구벌대로450길 18 (대봉동)41951와이에스피 테크(팡팡)20180223170724I2018-08-31 23:59:59.0<NA>345102.176116263517.347013신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFI527200201600000220160714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)41937야사노 대구동성로점20180911100050U2018-09-11 23:59:59.0<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>
67유원시설업(기타)03_07_08_P3410000CDFI527200201800000120180227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로3가 86-1번지대구광역시 중구 동성로1길 5 (동성로3가)41942주식회사 고담20181112110130U2018-11-14 02:36:02.0<NA>343911.356983264160.334363신고유원시설업<NA>상업지역<NA><NA><NA><NA>근린생활시설<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78유원시설업(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>
89유원시설업(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>
910유원시설업(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>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
146147유원시설업(기타)03_07_08_P3480000CDFI527200201900000220190529<NA>3폐업3폐업20200331<NA><NA><NA>02-702-2283<NA><NA>대구광역시 달성군 가창면 용계리 534-1번지 대구숲대구광역시 달성군 가창면 가창로 1003, 대구숲42936브이플렉스 대구숲점20200528162039U2020-05-30 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>
147148유원시설업(기타)03_07_08_P3480000CDFI527200201700000120170721<NA>3폐업3폐업20170820<NA><NA><NA>053-651-0925<NA><NA>대구광역시 달성군 화원읍 성산리 310번지대구광역시 달성군 화원읍 사문진로1길 40-14 (화원유원지)42941화원동산 물놀이장20170919093649I2018-08-31 23:59:59.0<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>
148149유원시설업(기타)03_07_08_P3480000CDFI527200201600000320160711<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 113-3번지<NA><NA>달성군 물놀이장20170104181229I2018-08-31 23:59:59.0<NA>336405.095089256882.85107신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
149150유원시설업(기타)03_07_08_P3480000CDFI527200201600000220160630<NA>3폐업3폐업<NA><NA><NA><NA>053-651-0915<NA><NA>대구광역시 달성군 화원읍 성산리 274번지대구광역시 달성군 화원읍 사문진로1길 40-12 (화원동산관리소)42941화원동산 워터파크20170104181207I2018-08-31 23:59:59.0<NA>333769.937636257925.256214신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
150151유원시설업(기타)03_07_08_P3480000CDFI527200201600000120160324<NA>3폐업3폐업20190129<NA><NA><NA>053-582-3333<NA><NA>대구광역시 달성군 다사읍 죽곡리 723-2번지대구광역시 달성군 다사읍 강정본길 6242917(주)엘에스씨20190130110155U2019-02-01 02:40:00.0<NA>332309.657776261334.037583신고유원시설업<NA>일반주거지역<NA>기타<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100.0<NA><NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>100
151152유원시설업(기타)03_07_08_P3480000CDFI527200201500000120150715<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>711839대구광역시 달성군 화원읍 성산리 274번지대구광역시 달성군 화원읍 사문진로1길 40-1242941화원동산 워터파크20160324175347I2018-08-31 23:59:59.0<NA>333769.937636257925.256214신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
152153유원시설업(기타)03_07_08_P3480000CDFI527200201400000120140630<NA>3폐업3폐업<NA><NA><NA><NA>521-2222<NA>711821대구광역시 달성군 하빈면 묘리 631번지대구광역시 달성군 하빈면 묘동3길 11742900주식회사 동림산업20160324175308I2018-08-31 23:59:59.0<NA>328075.737317269064.034791신고유원시설업<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>
153154유원시설업(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>331673.044158263270.483029신고유원시설업<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>
154155유원시설업(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>
155156유원시설업(기타)03_07_08_P3480000CDFI527200201900000120190517<NA>1영업/정상13영업중<NA><NA><NA><NA>053-608-5000<NA><NA>대구광역시 달성군 가창면 냉천리 27-9대구광역시 달성군 가창면 가창로 89142938네이처파크20200710100733U2020-07-12 02:40:00.0<NA>347783.240397255360.475912신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>