Overview

Dataset statistics

Number of variables63
Number of observations159
Missing cells5322
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.9 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)_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086700&dataSetDetailId=DDI_0000086720&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 (94.5%)Imbalance
휴업종료일자 is highly imbalanced (94.5%)Imbalance
문화사업자구분명 is highly imbalanced (86.5%)Imbalance
지역구분명 is highly imbalanced (78.0%)Imbalance
총층수 is highly imbalanced (90.3%)Imbalance
건물용도명 is highly imbalanced (79.3%)Imbalance
지상층수 is highly imbalanced (89.6%)Imbalance
지하층수 is highly imbalanced (86.5%)Imbalance
인허가취소일자 has 159 (100.0%) missing valuesMissing
폐업일자 has 80 (50.3%) missing valuesMissing
재개업일자 has 159 (100.0%) missing valuesMissing
소재지전화 has 89 (56.0%) missing valuesMissing
소재지면적 has 159 (100.0%) missing valuesMissing
소재지우편번호 has 139 (87.4%) missing valuesMissing
도로명전체주소 has 9 (5.7%) missing valuesMissing
도로명우편번호 has 12 (7.5%) missing valuesMissing
업태구분명 has 159 (100.0%) missing valuesMissing
주변환경명 has 157 (98.7%) missing valuesMissing
제작취급품목내용 has 159 (100.0%) missing valuesMissing
보험기관명 has 159 (100.0%) missing valuesMissing
객실수 has 159 (100.0%) missing valuesMissing
건축연면적 has 159 (100.0%) missing valuesMissing
영문상호명 has 159 (100.0%) missing valuesMissing
영문상호주소 has 159 (100.0%) missing valuesMissing
선박총톤수 has 159 (100.0%) missing valuesMissing
선박척수 has 159 (100.0%) missing valuesMissing
선박제원 has 159 (100.0%) missing valuesMissing
무대면적 has 159 (100.0%) missing valuesMissing
좌석수 has 159 (100.0%) missing valuesMissing
기념품종류 has 159 (100.0%) missing valuesMissing
회의실별동시수용인원 has 159 (100.0%) missing valuesMissing
시설면적 has 148 (93.1%) missing valuesMissing
놀이기구수내역 has 141 (88.7%) missing valuesMissing
놀이시설수 has 120 (75.5%) missing valuesMissing
방송시설유무 has 155 (97.5%) missing valuesMissing
발전시설유무 has 156 (98.1%) missing valuesMissing
의무실유무 has 155 (97.5%) missing valuesMissing
안내소유무 has 154 (96.9%) missing valuesMissing
기획여행보험시작일자 has 159 (100.0%) missing valuesMissing
기획여행보험종료일자 has 159 (100.0%) missing valuesMissing
자본금 has 159 (100.0%) missing valuesMissing
보험시작일자 has 159 (100.0%) missing valuesMissing
보험종료일자 has 159 (100.0%) missing valuesMissing
부대시설내역 has 159 (100.0%) missing valuesMissing
시설규모 has 148 (93.1%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 7 (4.4%) zerosZeros

Reproduction

Analysis started2024-04-18 04:46:39.438975
Analysis finished2024-04-18 04:46:40.195325
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:40.258897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q140.5
median80
Q3119.5
95-th percentile151.1
Maximum159
Range158
Interquartile range (IQR)79

Descriptive statistics

Standard deviation46.043458
Coefficient of variation (CV)0.57554322
Kurtosis-1.2
Mean80
Median Absolute Deviation (MAD)40
Skewness0
Sum12720
Variance2120
MonotonicityStrictly increasing
2024-04-18T13:46:40.392138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 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%
109 1
 
0.6%
110 1
 
0.6%
Other values (149) 149
93.7%
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 (%)
159 1
0.6%
158 1
0.6%
157 1
0.6%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유원시설업(기타)
159 

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) 159
100.0%

Length

2024-04-18T13:46:40.523837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:40.619616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 159
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
03_07_08_P
159 

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 159
100.0%

Length

2024-04-18T13:46:40.722339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:40.827961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 159
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446729.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:40.919667image/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 deviation23747.001
Coefficient of variation (CV)0.0068897199
Kurtosis-1.2533433
Mean3446729.6
Median Absolute Deviation (MAD)20000
Skewness-0.27869411
Sum5.4803 × 108
Variance5.6392007 × 108
MonotonicityIncreasing
2024-04-18T13:46:41.047770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 40
25.2%
3470000 26
16.4%
3410000 24
15.1%
3420000 23
14.5%
3480000 19
11.9%
3460000 18
11.3%
3430000 5
 
3.1%
3440000 4
 
2.5%
ValueCountFrequency (%)
3410000 24
15.1%
3420000 23
14.5%
3430000 5
 
3.1%
3440000 4
 
2.5%
3450000 40
25.2%
3460000 18
11.3%
3470000 26
16.4%
3480000 19
11.9%
ValueCountFrequency (%)
3480000 19
11.9%
3470000 26
16.4%
3460000 18
11.3%
3450000 40
25.2%
3440000 4
 
2.5%
3430000 5
 
3.1%
3420000 23
14.5%
3410000 24
15.1%

관리번호
Categorical

Distinct49
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
CDFI5272002016000001
 
8
CDFI5272002017000001
 
7
CDFI5272002016000002
 
7
CDFI5272002018000002
 
6
CDFI5272002019000002
 
6
Other values (44)
125 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique15 ?
Unique (%)9.4%

Sample

1st rowCDFI5272002016000007
2nd rowCDFI5272002015000001
3rd rowCDFI5272002016000002
4th rowCDFI5272002016000004
5th rowCDFI5272002019000002

Common Values

ValueCountFrequency (%)
CDFI5272002016000001 8
 
5.0%
CDFI5272002017000001 7
 
4.4%
CDFI5272002016000002 7
 
4.4%
CDFI5272002018000002 6
 
3.8%
CDFI5272002019000002 6
 
3.8%
CDFI5272002018000001 6
 
3.8%
CDFI5272002019000003 6
 
3.8%
CDFI5272002016000003 6
 
3.8%
CDFI5272002019000001 6
 
3.8%
CDFI5272002017000002 6
 
3.8%
Other values (39) 95
59.7%

Length

2024-04-18T13:46:41.197611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi5272002016000001 8
 
5.0%
cdfi5272002016000002 7
 
4.4%
cdfi5272002017000001 7
 
4.4%
cdfi5272002018000002 6
 
3.8%
cdfi5272002018000001 6
 
3.8%
cdfi5272002019000003 6
 
3.8%
cdfi5272002016000003 6
 
3.8%
cdfi5272002019000001 6
 
3.8%
cdfi5272002017000002 6
 
3.8%
cdfi5272002019000002 6
 
3.8%
Other values (39) 95
59.7%

인허가일자
Real number (ℝ)

Distinct139
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20167480
Minimum19930810
Maximum20201130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:41.337521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930810
5-th percentile20110704
Q120160822
median20170929
Q320185726
95-th percentile20200138
Maximum20201130
Range270320
Interquartile range (IQR)24904.5

Descriptive statistics

Standard deviation30835.745
Coefficient of variation (CV)0.0015289836
Kurtosis23.896363
Mean20167480
Median Absolute Deviation (MAD)10208
Skewness-3.8718753
Sum3.2066293 × 109
Variance9.5084317 × 108
MonotonicityNot monotonic
2024-04-18T13:46:41.486340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191220 4
 
2.5%
20161028 3
 
1.9%
20190807 2
 
1.3%
20160718 2
 
1.3%
20190529 2
 
1.3%
20161214 2
 
1.3%
20190708 2
 
1.3%
20161006 2
 
1.3%
20171218 2
 
1.3%
20160215 2
 
1.3%
Other values (129) 136
85.5%
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 (%)
20201130 1
0.6%
20201102 1
0.6%
20201022 1
0.6%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
85 
1
73 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 85
53.5%
1 73
45.9%
2 1
 
0.6%

Length

2024-04-18T13:46:41.617079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:41.714633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 85
53.5%
1 73
45.9%
2 1
 
0.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
85 
영업/정상
73 
휴업
 
1

Length

Max length5
Median length2
Mean length3.3773585
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 85
53.5%
영업/정상 73
45.9%
휴업 1
 
0.6%

Length

2024-04-18T13:46:41.822678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:41.924049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 85
53.5%
영업/정상 73
45.9%
휴업 1
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
83 
13
73 
34
 
2
2
 
1

Length

Max length2
Median length1
Mean length1.4716981
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row34
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
3 83
52.2%
13 73
45.9%
34 2
 
1.3%
2 1
 
0.6%

Length

2024-04-18T13:46:42.034177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:42.142903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 83
52.2%
13 73
45.9%
34 2
 
1.3%
2 1
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
83 
영업중
73 
영업장폐쇄
 
2
휴업
 
1

Length

Max length5
Median length2
Mean length2.4968553
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 83
52.2%
영업중 73
45.9%
영업장폐쇄 2
 
1.3%
휴업 1
 
0.6%

Length

2024-04-18T13:46:42.250519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:42.359384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 83
52.2%
영업중 73
45.9%
영업장폐쇄 2
 
1.3%
휴업 1
 
0.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)88.6%
Missing80
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean20173974
Minimum20071214
Maximum20201031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:42.475155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071214
5-th percentile20120418
Q120170322
median20180620
Q320190818
95-th percentile20200828
Maximum20201031
Range129817
Interquartile range (IQR)20495.5

Descriptive statistics

Standard deviation26659.593
Coefficient of variation (CV)0.0013214845
Kurtosis3.0379029
Mean20173974
Median Absolute Deviation (MAD)10198
Skewness-1.6894059
Sum1.5937439 × 109
Variance7.107339 × 108
MonotonicityNot monotonic
2024-04-18T13:46:42.621651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 4
 
2.5%
20190818 3
 
1.9%
20190129 2
 
1.3%
20180103 2
 
1.3%
20170820 2
 
1.3%
20180820 2
 
1.3%
20190825 1
 
0.6%
20090921 1
 
0.6%
20120430 1
 
0.6%
20190529 1
 
0.6%
Other values (60) 60
37.7%
(Missing) 80
50.3%
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 (%)
20201031 1
0.6%
20201007 1
0.6%
20200928 1
0.6%
20200923 1
0.6%
20200818 1
0.6%
20200813 1
0.6%
20200630 1
0.6%
20200501 1
0.6%
20200409 1
0.6%
20200331 1
0.6%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
158 
20200914
 
1

Length

Max length8
Median length4
Mean length4.0251572
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> 158
99.4%
20200914 1
 
0.6%

Length

2024-04-18T13:46:42.789639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:42.899742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 158
99.4%
20200914 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
158 
20210314
 
1

Length

Max length8
Median length4
Mean length4.0251572
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> 158
99.4%
20210314 1
 
0.6%

Length

2024-04-18T13:46:43.011199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:43.119925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 158
99.4%
20210314 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

소재지전화
Text

MISSING 

Distinct65
Distinct (%)92.9%
Missing89
Missing (%)56.0%
Memory size1.4 KiB
2024-04-18T13:46:43.361974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.657143
Min length8

Characters and Unicode

Total characters816
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

Unique61 ?
Unique (%)87.1%

Sample

1st row053-476-9912
2nd row053-245-2610
3rd row02-333-8334
4th row1670-1939
5th row02-333-8334
ValueCountFrequency (%)
053-476-9912 3
 
4.3%
053-382-7979 2
 
2.9%
02-333-8334 2
 
2.9%
053-476-9915 2
 
2.9%
053-588-3311 1
 
1.4%
053-642-0105 1
 
1.4%
053-553-1030 1
 
1.4%
0536672000 1
 
1.4%
053-288-5000 1
 
1.4%
053-635-0071 1
 
1.4%
Other values (55) 55
78.6%
2024-04-18T13:46:43.730618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 129
15.8%
- 114
14.0%
5 113
13.8%
3 113
13.8%
2 67
8.2%
1 57
7.0%
9 54
6.6%
6 48
 
5.9%
7 47
 
5.8%
8 45
 
5.5%
Other values (4) 29
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 697
85.4%
Dash Punctuation 114
 
14.0%
Other Punctuation 5
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 129
18.5%
5 113
16.2%
3 113
16.2%
2 67
9.6%
1 57
8.2%
9 54
7.7%
6 48
 
6.9%
7 47
 
6.7%
8 45
 
6.5%
4 24
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
. 2
40.0%
, 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 129
15.8%
- 114
14.0%
5 113
13.8%
3 113
13.8%
2 67
8.2%
1 57
7.0%
9 54
6.6%
6 48
 
5.9%
7 47
 
5.8%
8 45
 
5.5%
Other values (4) 29
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 129
15.8%
- 114
14.0%
5 113
13.8%
3 113
13.8%
2 67
8.2%
1 57
7.0%
9 54
6.6%
6 48
 
5.9%
7 47
 
5.8%
8 45
 
5.5%
Other values (4) 29
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing139
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean704497.4
Minimum700191
Maximum711839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:43.861996image/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
2024-04-18T13:46:43.978144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
701170 2
 
1.3%
702712 2
 
1.3%
706813 1
 
0.6%
711839 1
 
0.6%
711821 1
 
0.6%
711810 1
 
0.6%
704806 1
 
0.6%
704060 1
 
0.6%
706130 1
 
0.6%
700191 1
 
0.6%
Other values (8) 8
 
5.0%
(Missing) 139
87.4%
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

Distinct146
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T13:46:44.274425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length38
Mean length25.025157
Min length13

Characters and Unicode

Total characters3979
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

Unique134 ?
Unique (%)84.3%

Sample

1st row대구광역시 중구 삼덕동1가 18-11
2nd row대구광역시 중구 대봉동 655-1번지 생활체육광장내
3rd row대구광역시 중구 남일동 65-1
4th row대구광역시 중구 대봉동 4-2
5th row대구광역시 중구 계산동2가 200번지 현대백화점
ValueCountFrequency (%)
대구광역시 157
 
20.8%
북구 38
 
5.0%
달서구 26
 
3.4%
중구 24
 
3.2%
동구 23
 
3.0%
달성군 19
 
2.5%
수성구 18
 
2.4%
동천동 13
 
1.7%
산격동 8
 
1.1%
다사읍 7
 
0.9%
Other values (287) 422
55.9%
2024-04-18T13:46:44.728614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
19.2%
구 314
 
7.9%
대 191
 
4.8%
동 187
 
4.7%
시 165
 
4.1%
광 160
 
4.0%
역 159
 
4.0%
1 149
 
3.7%
지 123
 
3.1%
번 116
 
2.9%
Other values (196) 1653
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2359
59.3%
Space Separator 762
 
19.2%
Decimal Number 717
 
18.0%
Dash Punctuation 108
 
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 314
 
13.3%
대 191
 
8.1%
동 187
 
7.9%
시 165
 
7.0%
광 160
 
6.8%
역 159
 
6.7%
지 123
 
5.2%
번 116
 
4.9%
성 66
 
2.8%
달 45
 
1.9%
Other values (168) 833
35.3%
Decimal Number
ValueCountFrequency (%)
1 149
20.8%
2 104
14.5%
3 73
10.2%
5 71
9.9%
0 63
8.8%
6 60
8.4%
4 58
 
8.1%
8 56
 
7.8%
9 45
 
6.3%
7 38
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
14.3%
m 2
14.3%
e 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 (%)
762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
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 2359
59.3%
Common 1603
40.3%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 314
 
13.3%
대 191
 
8.1%
동 187
 
7.9%
시 165
 
7.0%
광 160
 
6.8%
역 159
 
6.7%
지 123
 
5.2%
번 116
 
4.9%
성 66
 
2.8%
달 45
 
1.9%
Other values (168) 833
35.3%
Common
ValueCountFrequency (%)
762
47.5%
1 149
 
9.3%
- 108
 
6.7%
2 104
 
6.5%
3 73
 
4.6%
5 71
 
4.4%
0 63
 
3.9%
6 60
 
3.7%
4 58
 
3.6%
8 56
 
3.5%
Other values (9) 99
 
6.2%
Latin
ValueCountFrequency (%)
H 2
11.8%
o 2
11.8%
m 2
11.8%
e 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 2359
59.3%
ASCII 1619
40.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
47.1%
1 149
 
9.2%
- 108
 
6.7%
2 104
 
6.4%
3 73
 
4.5%
5 71
 
4.4%
0 63
 
3.9%
6 60
 
3.7%
4 58
 
3.6%
8 56
 
3.5%
Other values (17) 115
 
7.1%
Hangul
ValueCountFrequency (%)
구 314
 
13.3%
대 191
 
8.1%
동 187
 
7.9%
시 165
 
7.0%
광 160
 
6.8%
역 159
 
6.7%
지 123
 
5.2%
번 116
 
4.9%
성 66
 
2.8%
달 45
 
1.9%
Other values (168) 833
35.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct147
Distinct (%)98.0%
Missing9
Missing (%)5.7%
Memory size1.4 KiB
2024-04-18T13:46:45.075977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length43
Mean length30.886667
Min length21

Characters and Unicode

Total characters4633
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

Unique144 ?
Unique (%)96.0%

Sample

1st row대구광역시 중구 동성로5길 41, 1층 (삼덕동1가)
2nd row대구광역시 중구 중앙대로 412, 지하1층 (남일동, 아카데미극장)
3rd row대구광역시 중구 달구벌대로450길 18 (대봉동)
4th row대구광역시 중구 달구벌대로 2077, 현대백화점 6층 (계산동2가)
5th row대구광역시 중구 동성로1길 5 (동성로3가)
ValueCountFrequency (%)
대구광역시 148
 
15.7%
북구 36
 
3.8%
달서구 26
 
2.8%
동구 23
 
2.4%
3층 19
 
2.0%
중구 19
 
2.0%
달성군 18
 
1.9%
1층 17
 
1.8%
수성구 17
 
1.8%
4층 14
 
1.5%
Other values (356) 607
64.3%
2024-04-18T13:46:45.583636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
802
 
17.3%
구 315
 
6.8%
동 217
 
4.7%
대 205
 
4.4%
시 163
 
3.5%
역 152
 
3.3%
로 151
 
3.3%
광 149
 
3.2%
1 147
 
3.2%
) 136
 
2.9%
Other values (227) 2196
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2702
58.3%
Space Separator 802
 
17.3%
Decimal Number 675
 
14.6%
Other Punctuation 138
 
3.0%
Close Punctuation 136
 
2.9%
Open Punctuation 135
 
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 315
 
11.7%
동 217
 
8.0%
대 205
 
7.6%
시 163
 
6.0%
역 152
 
5.6%
로 151
 
5.6%
광 149
 
5.5%
층 88
 
3.3%
성 75
 
2.8%
달 58
 
2.1%
Other values (192) 1129
41.8%
Decimal Number
ValueCountFrequency (%)
1 147
21.8%
2 109
16.1%
3 74
11.0%
4 73
10.8%
0 66
9.8%
5 49
 
7.3%
8 43
 
6.4%
6 42
 
6.2%
9 38
 
5.6%
7 34
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
18.2%
J 2
18.2%
Y 2
18.2%
S 1
9.1%
D 1
9.1%
G 1
9.1%
B 1
9.1%
H 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
m 1
14.3%
s 1
14.3%
u 1
14.3%
l 1
14.3%
p 1
14.3%
e 1
14.3%
o 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 134
97.1%
: 2
 
1.4%
* 1
 
0.7%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
802
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
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 2702
58.3%
Common 1913
41.3%
Latin 18
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 315
 
11.7%
동 217
 
8.0%
대 205
 
7.6%
시 163
 
6.0%
역 152
 
5.6%
로 151
 
5.6%
광 149
 
5.5%
층 88
 
3.3%
성 75
 
2.8%
달 58
 
2.1%
Other values (192) 1129
41.8%
Common
ValueCountFrequency (%)
802
41.9%
1 147
 
7.7%
) 136
 
7.1%
( 135
 
7.1%
, 134
 
7.0%
2 109
 
5.7%
3 74
 
3.9%
4 73
 
3.8%
0 66
 
3.5%
5 49
 
2.6%
Other values (10) 188
 
9.8%
Latin
ValueCountFrequency (%)
X 2
 
11.1%
J 2
 
11.1%
Y 2
 
11.1%
S 1
 
5.6%
D 1
 
5.6%
G 1
 
5.6%
B 1
 
5.6%
m 1
 
5.6%
s 1
 
5.6%
u 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2702
58.3%
ASCII 1930
41.7%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
802
41.6%
1 147
 
7.6%
) 136
 
7.0%
( 135
 
7.0%
, 134
 
6.9%
2 109
 
5.6%
3 74
 
3.8%
4 73
 
3.8%
0 66
 
3.4%
5 49
 
2.5%
Other values (24) 205
 
10.6%
Hangul
ValueCountFrequency (%)
구 315
 
11.7%
동 217
 
8.0%
대 205
 
7.6%
시 163
 
6.0%
역 152
 
5.6%
로 151
 
5.6%
광 149
 
5.5%
층 88
 
3.3%
성 75
 
2.8%
달 58
 
2.1%
Other values (192) 1129
41.8%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)66.7%
Missing12
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean73599.483
Minimum41065
Maximum704804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:45.719193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41065
5-th percentile41105
Q141496.5
median41942
Q342720.5
95-th percentile52631.5
Maximum704804
Range663739
Interquartile range (IQR)1224

Descriptive statistics

Standard deviation141106.38
Coefficient of variation (CV)1.9172197
Kurtosis16.648537
Mean73599.483
Median Absolute Deviation (MAD)528
Skewness4.2918849
Sum10819124
Variance1.9911011 × 1010
MonotonicityNot monotonic
2024-04-18T13:46:45.847286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 8
 
5.0%
41941 7
 
4.4%
42274 5
 
3.1%
42250 4
 
2.5%
42941 4
 
2.5%
41229 4
 
2.5%
41938 3
 
1.9%
41593 3
 
1.9%
41586 3
 
1.9%
41422 2
 
1.3%
Other values (88) 104
65.4%
(Missing) 12
 
7.5%
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
2.5%

사업장명
Text

Distinct154
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T13:46:46.122155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.6289308
Min length2

Characters and Unicode

Total characters1213
Distinct characters266
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

Unique149 ?
Unique (%)93.7%

Sample

1st row뽑아방
2nd row(주)에코플러스
3rd row야사노 대구동성로점
4th row와이에스피 테크(팡팡)
5th row릴리펏 현대백화점대구점
ValueCountFrequency (%)
주식회사 6
 
2.5%
물놀이장 5
 
2.1%
화원동산 4
 
1.7%
키즈카페 4
 
1.7%
스카이점핑랜드 3
 
1.3%
대구수성점 3
 
1.3%
맥스라이더 3
 
1.3%
주)에코플러스 2
 
0.8%
노리파크 2
 
0.8%
노리터 2
 
0.8%
Other values (193) 205
85.8%
2024-04-18T13:46:46.579551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
6.6%
점 48
 
4.0%
이 48
 
4.0%
스 33
 
2.7%
리 29
 
2.4%
키 26
 
2.1%
대 24
 
2.0%
즈 24
 
2.0%
드 23
 
1.9%
카 21
 
1.7%
Other values (256) 857
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1032
85.1%
Space Separator 80
 
6.6%
Uppercase Letter 30
 
2.5%
Lowercase Letter 19
 
1.6%
Open Punctuation 18
 
1.5%
Close Punctuation 18
 
1.5%
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
 
4.7%
이 48
 
4.7%
스 33
 
3.2%
리 29
 
2.8%
키 26
 
2.5%
대 24
 
2.3%
즈 24
 
2.3%
드 23
 
2.2%
카 21
 
2.0%
구 20
 
1.9%
Other values (216) 736
71.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
 
10.0%
V 2
 
6.7%
R 2
 
6.7%
N 2
 
6.7%
D 2
 
6.7%
A 2
 
6.7%
L 2
 
6.7%
P 2
 
6.7%
E 2
 
6.7%
M 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%
a 1
 
5.3%
d 1
 
5.3%
h 1
 
5.3%
l 1
 
5.3%
f 1
 
5.3%
y 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
0 5
35.7%
4 2
 
14.3%
1 2
 
14.3%
Space Separator
ValueCountFrequency (%)
80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1032
85.1%
Common 132
 
10.9%
Latin 49
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 48
 
4.7%
이 48
 
4.7%
스 33
 
3.2%
리 29
 
2.8%
키 26
 
2.5%
대 24
 
2.3%
즈 24
 
2.3%
드 23
 
2.2%
카 21
 
2.0%
구 20
 
1.9%
Other values (216) 736
71.3%
Latin
ValueCountFrequency (%)
C 3
 
6.1%
n 3
 
6.1%
u 3
 
6.1%
t 2
 
4.1%
V 2
 
4.1%
R 2
 
4.1%
N 2
 
4.1%
D 2
 
4.1%
A 2
 
4.1%
L 2
 
4.1%
Other values (21) 26
53.1%
Common
ValueCountFrequency (%)
80
60.6%
( 18
 
13.6%
) 18
 
13.6%
2 5
 
3.8%
0 5
 
3.8%
4 2
 
1.5%
1 2
 
1.5%
$ 1
 
0.8%
& 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1032
85.1%
ASCII 181
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
44.2%
( 18
 
9.9%
) 18
 
9.9%
2 5
 
2.8%
0 5
 
2.8%
C 3
 
1.7%
n 3
 
1.7%
u 3
 
1.7%
4 2
 
1.1%
t 2
 
1.1%
Other values (30) 42
23.2%
Hangul
ValueCountFrequency (%)
점 48
 
4.7%
이 48
 
4.7%
스 33
 
3.2%
리 29
 
2.8%
키 26
 
2.5%
대 24
 
2.3%
즈 24
 
2.3%
드 23
 
2.2%
카 21
 
2.0%
구 20
 
1.9%
Other values (216) 736
71.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0182097 × 1013
Minimum2.0071213 × 1013
Maximum2.020113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:46.725796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0071213 × 1013
5-th percentile2.0140304 × 1013
Q12.0175666 × 1013
median2.0181224 × 1013
Q32.0200366 × 1013
95-th percentile2.0200937 × 1013
Maximum2.020113 × 1013
Range1.2991694 × 1011
Interquartile range (IQR)2.4700475 × 1010

Descriptive statistics

Standard deviation2.1561668 × 1010
Coefficient of variation (CV)0.0010683561
Kurtosis6.7787895
Mean2.0182097 × 1013
Median Absolute Deviation (MAD)1.0121959 × 1010
Skewness-2.2281729
Sum3.2089535 × 1015
Variance4.6490551 × 1020
MonotonicityNot monotonic
2024-04-18T13:46:46.871492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190211102502 1
 
0.6%
20150831161216 1
 
0.6%
20180320160152 1
 
0.6%
20180517132515 1
 
0.6%
20200501104646 1
 
0.6%
20201113092530 1
 
0.6%
20190705104633 1
 
0.6%
20200612140656 1
 
0.6%
20200612140335 1
 
0.6%
20191107141434 1
 
0.6%
Other values (149) 149
93.7%
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 (%)
20201130102901 1
0.6%
20201116135329 1
0.6%
20201116113603 1
0.6%
20201113092530 1
0.6%
20201109154051 1
0.6%
20201103134817 1
0.6%
20201022193001 1
0.6%
20201007150033 1
0.6%
20200929111451 1
0.6%
20200924095711 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
82 
U
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 82
51.6%
U 77
48.4%

Length

2024-04-18T13:46:47.035719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:47.128680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
51.6%
u 77
48.4%

데이터갱신일자
Date

Distinct72
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-02 00:23:08
2024-04-18T13:46:47.231160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:46:47.368913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct131
Distinct (%)82.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean342585.21
Minimum211303.08
Maximum389194.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:47.521973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211303.08
5-th percentile332218.71
Q1339055.66
median343788.58
Q3346673.31
95-th percentile354192.35
Maximum389194.1
Range177891.02
Interquartile range (IQR)7617.6535

Descriptive statistics

Standard deviation12664.796
Coefficient of variation (CV)0.036968309
Kurtosis74.719408
Mean342585.21
Median Absolute Deviation (MAD)3573.0532
Skewness-6.8313291
Sum54128464
Variance1.6039706 × 108
MonotonicityNot monotonic
2024-04-18T13:46:47.655411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.24197 4
 
2.5%
345549.11017 4
 
2.5%
352335.045028 4
 
2.5%
345144.121523 4
 
2.5%
343510.573192 3
 
1.9%
338508.03969 2
 
1.3%
347690.434441 2
 
1.3%
349426.805402 2
 
1.3%
355939.362329 2
 
1.3%
346807.086927 2
 
1.3%
Other values (121) 129
81.1%
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)

Distinct131
Distinct (%)82.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean263456.55
Minimum190807.09
Maximum272735.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:47.787172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190807.09
5-th percentile257489.58
Q1261253.24
median264156.17
Q3265955.23
95-th percentile272531.08
Maximum272735.68
Range81928.583
Interquartile range (IQR)4701.988

Descriptive statistics

Standard deviation7402.2839
Coefficient of variation (CV)0.028096792
Kurtosis59.284137
Mean263456.55
Median Absolute Deviation (MAD)2289.1454
Skewness-6.1580329
Sum41626135
Variance54793807
MonotonicityNot monotonic
2024-04-18T13:46:47.915324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404337 4
 
2.5%
268620.845678 4
 
2.5%
260158.750204 4
 
2.5%
263145.386419 4
 
2.5%
266134.259921 3
 
1.9%
258645.860959 2
 
1.3%
270271.225719 2
 
1.3%
266377.854784 2
 
1.3%
264777.243598 2
 
1.3%
264654.357512 2
 
1.3%
Other values (121) 129
81.1%
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%
257596.654862 1
0.6%
257925.256214 2
1.3%
258064.058453 2
1.3%
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 size1.4 KiB
신고유원시설업
159 

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 159
100.0%

Length

2024-04-18T13:46:48.039305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:48.143454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 159
100.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
유원시설업
 
3

Length

Max length5
Median length4
Mean length4.0188679
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> 156
98.1%
유원시설업 3
 
1.9%

Length

2024-04-18T13:46:48.261904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:48.370039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
98.1%
유원시설업 3
 
1.9%

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
일반주거지역
 
6
중심상업지역
 
4
자연녹지지역
 
1
상업지역
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.163522
Min length4

Unique

Unique4 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 145
91.2%
일반주거지역 6
 
3.8%
중심상업지역 4
 
2.5%
자연녹지지역 1
 
0.6%
상업지역 1
 
0.6%
일반상업지역 1
 
0.6%
근린상업지역 1
 
0.6%

Length

2024-04-18T13:46:48.482847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:48.605068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
91.2%
일반주거지역 6
 
3.8%
중심상업지역 4
 
2.5%
자연녹지지역 1
 
0.6%
상업지역 1
 
0.6%
일반상업지역 1
 
0.6%
근린상업지역 1
 
0.6%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
157 
4
 
2

Length

Max length4
Median length4
Mean length3.9622642
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> 157
98.7%
4 2
 
1.3%

Length

2024-04-18T13:46:48.742829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:48.840840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 157
98.7%
4 2
 
1.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing157
Missing (%)98.7%
Memory size1.4 KiB
2024-04-18T13:46:48.914086image/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%
2024-04-18T13:46:49.158499image/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 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
근린생활시설
 
6
유기장
 
2

Length

Max length6
Median length4
Mean length4.0628931
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 151
95.0%
근린생활시설 6
 
3.8%
유기장 2
 
1.3%

Length

2024-04-18T13:46:49.324814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:49.439583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
95.0%
근린생활시설 6
 
3.8%
유기장 2
 
1.3%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
155 
3
 
2
7
 
1
9
 
1

Length

Max length4
Median length4
Mean length3.9245283
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> 155
97.5%
3 2
 
1.3%
7 1
 
0.6%
9 1
 
0.6%

Length

2024-04-18T13:46:49.570341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:49.676658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
97.5%
3 2
 
1.3%
7 1
 
0.6%
9 1
 
0.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
1
 
3

Length

Max length4
Median length4
Mean length3.9433962
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> 156
98.1%
1 3
 
1.9%

Length

2024-04-18T13:46:49.791370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:46:49.900845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
98.1%
1 3
 
1.9%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing148
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean316.01727
Minimum50
Maximum1488.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:49.981730image/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
2024-04-18T13:46:50.082532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
72.9 1
 
0.6%
1488.79 1
 
0.6%
50.0 1
 
0.6%
226.13 1
 
0.6%
310.9 1
 
0.6%
213.06 1
 
0.6%
160.0 1
 
0.6%
183.16 1
 
0.6%
480.0 1
 
0.6%
191.25 1
 
0.6%
(Missing) 148
93.1%
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 

Distinct17
Distinct (%)94.4%
Missing141
Missing (%)88.7%
Memory size1.4 KiB
2024-04-18T13:46:50.276340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length17.5
Mean length19.888889
Min length4

Characters and Unicode

Total characters358
Distinct characters116
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

Unique16 ?
Unique (%)88.9%

Sample

1st row놀이형 미니에어바운스 1종 2대
2nd row심포디엑스 1(영상모험관), 심포디엑스2 (영상모험관)
3rd row총 11대
4th row봉봉뜀틀, 봉봉뜀틀 유아용
5th row인형뽑기 1대, 미니농구 1대
ValueCountFrequency (%)
1대 6
 
9.5%
붕붕뜀틀 5
 
7.9%
봉봉뜀틀 4
 
6.3%
2대 2
 
3.2%
미니농구 2
 
3.2%
유아용 2
 
3.2%
인형뽑기 2
 
3.2%
2
 
3.2%
심포디엑스2 1
 
1.6%
배터리카4.봉봉뜀틀2 1
 
1.6%
Other values (36) 36
57.1%
2024-04-18T13:46:50.692489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
13.7%
1 18
 
5.0%
대 17
 
4.7%
, 14
 
3.9%
2 11
 
3.1%
붕 10
 
2.8%
틀 10
 
2.8%
뜀 10
 
2.8%
봉 10
 
2.8%
이 9
 
2.5%
Other values (106) 200
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
60.1%
Space Separator 49
 
13.7%
Decimal Number 46
 
12.8%
Other Punctuation 25
 
7.0%
Lowercase Letter 14
 
3.9%
Close Punctuation 4
 
1.1%
Open Punctuation 4
 
1.1%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 17
 
7.9%
붕 10
 
4.7%
틀 10
 
4.7%
뜀 10
 
4.7%
봉 10
 
4.7%
이 9
 
4.2%
미 8
 
3.7%
니 8
 
3.7%
기 6
 
2.8%
스 6
 
2.8%
Other values (76) 121
56.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
14.3%
e 2
14.3%
t 1
7.1%
z 1
7.1%
m 1
7.1%
o 1
7.1%
c 1
7.1%
r 1
7.1%
v 1
7.1%
n 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
1 18
39.1%
2 11
23.9%
0 6
 
13.0%
3 3
 
6.5%
8 2
 
4.3%
6 2
 
4.3%
5 2
 
4.3%
7 1
 
2.2%
4 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 14
56.0%
. 6
24.0%
/ 3
 
12.0%
: 1
 
4.0%
@ 1
 
4.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
60.1%
Common 129
36.0%
Latin 14
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 17
 
7.9%
붕 10
 
4.7%
틀 10
 
4.7%
뜀 10
 
4.7%
봉 10
 
4.7%
이 9
 
4.2%
미 8
 
3.7%
니 8
 
3.7%
기 6
 
2.8%
스 6
 
2.8%
Other values (76) 121
56.3%
Common
ValueCountFrequency (%)
49
38.0%
1 18
 
14.0%
, 14
 
10.9%
2 11
 
8.5%
. 6
 
4.7%
0 6
 
4.7%
) 4
 
3.1%
( 4
 
3.1%
/ 3
 
2.3%
3 3
 
2.3%
Other values (8) 11
 
8.5%
Latin
ValueCountFrequency (%)
a 2
14.3%
e 2
14.3%
t 1
7.1%
z 1
7.1%
m 1
7.1%
o 1
7.1%
c 1
7.1%
r 1
7.1%
v 1
7.1%
n 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
60.1%
ASCII 143
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
34.3%
1 18
 
12.6%
, 14
 
9.8%
2 11
 
7.7%
. 6
 
4.2%
0 6
 
4.2%
) 4
 
2.8%
( 4
 
2.8%
/ 3
 
2.1%
3 3
 
2.1%
Other values (20) 25
17.5%
Hangul
ValueCountFrequency (%)
대 17
 
7.9%
붕 10
 
4.7%
틀 10
 
4.7%
뜀 10
 
4.7%
봉 10
 
4.7%
이 9
 
4.2%
미 8
 
3.7%
니 8
 
3.7%
기 6
 
2.8%
스 6
 
2.8%
Other values (76) 121
56.3%

놀이시설수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)15.4%
Missing120
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean1.4615385
Minimum0
Maximum16
Zeros7
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:50.869277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5219683
Coefficient of variation (CV)1.7255572
Kurtosis30.846201
Mean1.4615385
Median Absolute Deviation (MAD)0
Skewness5.3079909
Sum57
Variance6.3603239
MonotonicityNot monotonic
2024-04-18T13:46:50.996120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 24
 
15.1%
0 7
 
4.4%
2 5
 
3.1%
16 1
 
0.6%
3 1
 
0.6%
4 1
 
0.6%
(Missing) 120
75.5%
ValueCountFrequency (%)
0 7
 
4.4%
1 24
15.1%
2 5
 
3.1%
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
 
3.1%
1 24
15.1%
0 7
 
4.4%

방송시설유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing155
Missing (%)97.5%
Memory size450.0 B
False
 
2
True
 
2
(Missing)
155 
ValueCountFrequency (%)
False 2
 
1.3%
True 2
 
1.3%
(Missing) 155
97.5%
2024-04-18T13:46:51.112608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)66.7%
Missing156
Missing (%)98.1%
Memory size450.0 B
False
 
2
True
 
1
(Missing)
156 
ValueCountFrequency (%)
False 2
 
1.3%
True 1
 
0.6%
(Missing) 156
98.1%
2024-04-18T13:46:51.257210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)50.0%
Missing155
Missing (%)97.5%
Memory size450.0 B
True
 
2
False
 
2
(Missing)
155 
ValueCountFrequency (%)
True 2
 
1.3%
False 2
 
1.3%
(Missing) 155
97.5%
2024-04-18T13:46:51.358955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)40.0%
Missing154
Missing (%)96.9%
Memory size450.0 B
True
 
3
False
 
2
(Missing)
154 
ValueCountFrequency (%)
True 3
 
1.9%
False 2
 
1.3%
(Missing) 154
96.9%
2024-04-18T13:46:51.447433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing148
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean316
Minimum50
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-18T13:46:51.551305image/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
2024-04-18T13:46:51.676514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
73 1
 
0.6%
1489 1
 
0.6%
50 1
 
0.6%
226 1
 
0.6%
311 1
 
0.6%
213 1
 
0.6%
160 1
 
0.6%
183 1
 
0.6%
480 1
 
0.6%
191 1
 
0.6%
(Missing) 148
93.1%
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_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>
12유원시설업(기타)03_07_08_P3410000CDFI527200201500000120150812<NA>3폐업3폐업20150831<NA><NA><NA>053-476-9912<NA><NA>대구광역시 중구 대봉동 655-1번지 생활체육광장내<NA><NA>(주)에코플러스20150831161216I2018-08-31 23:59:59.0<NA>345144.121523263145.386419신고유원시설업<NA>자연녹지지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>놀이형 미니에어바운스 1종 2대<NA><NA><NA>YY<NA><NA><NA><NA><NA><NA><NA>
23유원시설업(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>
34유원시설업(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>
45유원시설업(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>
56유원시설업(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>
67유원시설업(기타)03_07_08_P3410000CDFI527200202000000220200212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-8334<NA><NA>대구광역시 중구 공평동 58-6번지대구광역시 중구 동성로6길 61, 태왕스파크 701호 (공평동)41938주식회사 짱20200212133249I2020-02-14 00:23:30.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78유원시설업(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>
89유원시설업(기타)03_07_08_P3410000CDFI527200202000000320201022<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-8334<NA><NA>대구광역시 중구 공평동 55-54대구광역시 중구 동성로6길 36, 1층 (공평동)41941짱오락실20201022193001I2020-10-24 00:23:10.0<NA>344182.117576264325.505092신고유원시설업<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>
910유원시설업(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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
149150유원시설업(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>
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_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>
152153유원시설업(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>
153154유원시설업(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>
154155유원시설업(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>
155156유원시설업(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>
156157유원시설업(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>
157158유원시설업(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>
158159유원시설업(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>