Overview

Dataset statistics

Number of variables9
Number of observations249
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory77.5 B

Variable types

Numeric5
Text3
Categorical1

Dataset

Description재난발생 시 이재민수용시설, 지진해일대피장소를 제외한 수해대피장소의 명칭, 도로명주소, 지번주소, 시설유형, 시설면적, 이용가능인원, 좌표(위도,경도)
URLhttps://www.data.go.kr/data/15114000/fileData.do

Alerts

No is highly overall correlated with 위도High correlation
시설면적 is highly overall correlated with 이용가능인원(명) and 1 other fieldsHigh correlation
이용가능인원(명) is highly overall correlated with 시설면적 and 1 other fieldsHigh correlation
위도 is highly overall correlated with NoHigh correlation
시설유형 is highly overall correlated with 시설면적 and 1 other fieldsHigh correlation
시설유형 is highly imbalanced (67.7%)Imbalance
No has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:03:17.043519
Analysis finished2023-12-12 19:03:21.031563
Duration3.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125
Minimum1
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T04:03:21.140835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.4
Q163
median125
Q3187
95-th percentile236.6
Maximum249
Range248
Interquartile range (IQR)124

Descriptive statistics

Standard deviation72.024301
Coefficient of variation (CV)0.57619441
Kurtosis-1.2
Mean125
Median Absolute Deviation (MAD)62
Skewness0
Sum31125
Variance5187.5
MonotonicityStrictly increasing
2023-12-13T04:03:21.345033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
172 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%

쉼터명칭
Text

Distinct240
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T04:03:21.830762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.2891566
Min length2

Characters and Unicode

Total characters1815
Distinct characters157
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)93.2%

Sample

1st row윗천전 경로당겸마을회관
2nd row아랫천전 경로당겸마을회관
3rd row남산1리 경로당겸마을회관
4th row남산2리 경로당겸마을회관
5th row우곡리 경로당겸마을회관
ValueCountFrequency (%)
경로당 115
28.4%
경로당겸마을회관 26
 
6.4%
마을회관 7
 
1.7%
신리2리 3
 
0.7%
영덕군 3
 
0.7%
송천1리 2
 
0.5%
흥기1리 2
 
0.5%
화전1리 2
 
0.5%
이천리 2
 
0.5%
창수2리 2
 
0.5%
Other values (236) 241
59.5%
2023-12-13T04:03:22.481784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 206
 
11.3%
경 162
 
8.9%
당 156
 
8.6%
156
 
8.6%
로 156
 
8.6%
1 68
 
3.7%
2 67
 
3.7%
회 40
 
2.2%
을 35
 
1.9%
마 35
 
1.9%
Other values (147) 734
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1487
81.9%
Space Separator 156
 
8.6%
Decimal Number 156
 
8.6%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 206
 
13.9%
경 162
 
10.9%
당 156
 
10.5%
로 156
 
10.5%
회 40
 
2.7%
을 35
 
2.4%
마 35
 
2.4%
관 34
 
2.3%
겸 28
 
1.9%
곡 26
 
1.7%
Other values (139) 609
41.0%
Decimal Number
ValueCountFrequency (%)
1 68
43.6%
2 67
42.9%
3 18
 
11.5%
4 2
 
1.3%
5 1
 
0.6%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1487
81.9%
Common 328
 
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 206
 
13.9%
경 162
 
10.9%
당 156
 
10.5%
로 156
 
10.5%
회 40
 
2.7%
을 35
 
2.4%
마 35
 
2.4%
관 34
 
2.3%
겸 28
 
1.9%
곡 26
 
1.7%
Other values (139) 609
41.0%
Common
ValueCountFrequency (%)
156
47.6%
1 68
20.7%
2 67
20.4%
3 18
 
5.5%
( 8
 
2.4%
) 8
 
2.4%
4 2
 
0.6%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1487
81.9%
ASCII 328
 
18.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 206
 
13.9%
경 162
 
10.9%
당 156
 
10.5%
로 156
 
10.5%
회 40
 
2.7%
을 35
 
2.4%
마 35
 
2.4%
관 34
 
2.3%
겸 28
 
1.9%
곡 26
 
1.7%
Other values (139) 609
41.0%
ASCII
ValueCountFrequency (%)
156
47.6%
1 68
20.7%
2 67
20.4%
3 18
 
5.5%
( 8
 
2.4%
) 8
 
2.4%
4 2
 
0.6%
5 1
 
0.3%

도로명주소
Text

Distinct239
Distinct (%)96.4%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-12-13T04:03:22.986232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.358871
Min length18

Characters and Unicode

Total characters5297
Distinct characters160
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)93.1%

Sample

1st row경상북도 영덕군 영덕읍 천전길 102-3
2nd row경상북도 영덕군 영덕읍 천전2길 6-5
3rd row경상북도 영덕군 영덕읍 남산2길 16
4th row경상북도 영덕군 영덕읍 신공업단지길 104-3
5th row경상북도 영덕군 영덕읍 서원길 21-2
ValueCountFrequency (%)
경상북도 248
20.0%
영덕군 248
20.0%
영덕읍 36
 
2.9%
지품면 31
 
2.5%
강구면 30
 
2.4%
창수면 30
 
2.4%
병곡면 30
 
2.4%
영해면 27
 
2.2%
축산면 25
 
2.0%
달산면 20
 
1.6%
Other values (380) 515
41.5%
2023-12-13T04:03:23.716925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1088
20.5%
영 335
 
6.3%
덕 304
 
5.7%
경 259
 
4.9%
도 252
 
4.8%
군 251
 
4.7%
상 251
 
4.7%
북 248
 
4.7%
면 212
 
4.0%
길 203
 
3.8%
Other values (150) 1894
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3309
62.5%
Space Separator 1088
 
20.5%
Decimal Number 797
 
15.0%
Dash Punctuation 103
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 335
 
10.1%
덕 304
 
9.2%
경 259
 
7.8%
도 252
 
7.6%
군 251
 
7.6%
상 251
 
7.6%
북 248
 
7.5%
면 212
 
6.4%
길 203
 
6.1%
산 65
 
2.0%
Other values (138) 929
28.1%
Decimal Number
ValueCountFrequency (%)
1 197
24.7%
2 146
18.3%
3 92
11.5%
4 76
 
9.5%
5 64
 
8.0%
6 62
 
7.8%
8 49
 
6.1%
7 42
 
5.3%
9 37
 
4.6%
0 32
 
4.0%
Space Separator
ValueCountFrequency (%)
1088
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3309
62.5%
Common 1988
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 335
 
10.1%
덕 304
 
9.2%
경 259
 
7.8%
도 252
 
7.6%
군 251
 
7.6%
상 251
 
7.6%
북 248
 
7.5%
면 212
 
6.4%
길 203
 
6.1%
산 65
 
2.0%
Other values (138) 929
28.1%
Common
ValueCountFrequency (%)
1088
54.7%
1 197
 
9.9%
2 146
 
7.3%
- 103
 
5.2%
3 92
 
4.6%
4 76
 
3.8%
5 64
 
3.2%
6 62
 
3.1%
8 49
 
2.5%
7 42
 
2.1%
Other values (2) 69
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3309
62.5%
ASCII 1988
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1088
54.7%
1 197
 
9.9%
2 146
 
7.3%
- 103
 
5.2%
3 92
 
4.6%
4 76
 
3.8%
5 64
 
3.2%
6 62
 
3.1%
8 49
 
2.5%
7 42
 
2.1%
Other values (2) 69
 
3.5%
Hangul
ValueCountFrequency (%)
영 335
 
10.1%
덕 304
 
9.2%
경 259
 
7.8%
도 252
 
7.6%
군 251
 
7.6%
상 251
 
7.6%
북 248
 
7.5%
면 212
 
6.4%
길 203
 
6.1%
산 65
 
2.0%
Other values (138) 929
28.1%

지번주소
Text

Distinct241
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T04:03:24.250259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.196787
Min length18

Characters and Unicode

Total characters5278
Distinct characters126
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)94.0%

Sample

1st row경상북도 영덕군 영덕읍 천전리 216
2nd row경상북도 영덕군 영덕읍 천전리 322-1
3rd row경상북도 영덕군 영덕읍 남산리 232-1
4th row경상북도 영덕군 영덕읍 남산리 608
5th row경상북도 영덕군 영덕읍 우곡리 401-3
ValueCountFrequency (%)
경상북도 249
19.9%
영덕군 249
19.9%
영덕읍 36
 
2.9%
지품면 31
 
2.5%
창수면 30
 
2.4%
강구면 30
 
2.4%
병곡면 30
 
2.4%
영해면 27
 
2.2%
축산면 25
 
2.0%
달산면 21
 
1.7%
Other values (368) 521
41.7%
2023-12-13T04:03:24.947488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1000
18.9%
영 321
 
6.1%
덕 296
 
5.6%
도 256
 
4.9%
경 255
 
4.8%
상 254
 
4.8%
군 250
 
4.7%
북 249
 
4.7%
리 229
 
4.3%
면 213
 
4.0%
Other values (116) 1955
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3245
61.5%
Space Separator 1000
 
18.9%
Decimal Number 880
 
16.7%
Dash Punctuation 153
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 321
 
9.9%
덕 296
 
9.1%
도 256
 
7.9%
경 255
 
7.9%
상 254
 
7.8%
군 250
 
7.7%
북 249
 
7.7%
리 229
 
7.1%
면 213
 
6.6%
산 67
 
2.1%
Other values (104) 855
26.3%
Decimal Number
ValueCountFrequency (%)
1 165
18.8%
2 142
16.1%
3 127
14.4%
5 78
8.9%
4 76
8.6%
6 76
8.6%
0 57
 
6.5%
9 56
 
6.4%
7 53
 
6.0%
8 50
 
5.7%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3245
61.5%
Common 2033
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 321
 
9.9%
덕 296
 
9.1%
도 256
 
7.9%
경 255
 
7.9%
상 254
 
7.8%
군 250
 
7.7%
북 249
 
7.7%
리 229
 
7.1%
면 213
 
6.6%
산 67
 
2.1%
Other values (104) 855
26.3%
Common
ValueCountFrequency (%)
1000
49.2%
1 165
 
8.1%
- 153
 
7.5%
2 142
 
7.0%
3 127
 
6.2%
5 78
 
3.8%
4 76
 
3.7%
6 76
 
3.7%
0 57
 
2.8%
9 56
 
2.8%
Other values (2) 103
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3245
61.5%
ASCII 2033
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1000
49.2%
1 165
 
8.1%
- 153
 
7.5%
2 142
 
7.0%
3 127
 
6.2%
5 78
 
3.8%
4 76
 
3.7%
6 76
 
3.7%
0 57
 
2.8%
9 56
 
2.8%
Other values (2) 103
 
5.1%
Hangul
ValueCountFrequency (%)
영 321
 
9.9%
덕 296
 
9.1%
도 256
 
7.9%
경 255
 
7.9%
상 254
 
7.8%
군 250
 
7.7%
북 249
 
7.7%
리 229
 
7.1%
면 213
 
6.6%
산 67
 
2.1%
Other values (104) 855
26.3%

시설유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
노인시설
210 
마을회관
 
11
관공서
 
10
학교
 
8
교회
 
3
Other values (4)
 
7

Length

Max length56
Median length4
Mean length4.0883534
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
노인시설 210
84.3%
마을회관 11
 
4.4%
관공서 10
 
4.0%
학교 8
 
3.2%
교회 3
 
1.2%
연수,숙박 3
 
1.2%
기타시설 2
 
0.8%
공공시설(국·공립도서관, 공립병원, 시·도민회관, 구민회관 주민체육시설, 노인병원, 어린이도서관 등) 1
 
0.4%
경로당 1
 
0.4%

Length

2023-12-13T04:03:25.123011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:25.266301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인시설 210
82.0%
마을회관 11
 
4.3%
관공서 10
 
3.9%
학교 8
 
3.1%
교회 3
 
1.2%
연수,숙박 3
 
1.2%
기타시설 2
 
0.8%
공공시설(국·공립도서관 1
 
0.4%
공립병원 1
 
0.4%
시·도민회관 1
 
0.4%
Other values (6) 6
 
2.3%

시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct189
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.73775
Minimum29
Maximum5644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T04:03:25.407205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile46.4
Q170
median90
Q3125.6
95-th percentile679
Maximum5644
Range5615
Interquartile range (IQR)55.6

Descriptive statistics

Standard deviation553.58383
Coefficient of variation (CV)2.626885
Kurtosis59.305503
Mean210.73775
Median Absolute Deviation (MAD)23
Skewness7.1198481
Sum52473.7
Variance306455.05
MonotonicityNot monotonic
2023-12-13T04:03:25.557956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 5
 
2.0%
83.0 4
 
1.6%
99.0 4
 
1.6%
76.0 4
 
1.6%
73.0 4
 
1.6%
77.0 4
 
1.6%
70.0 4
 
1.6%
198.0 3
 
1.2%
90.0 3
 
1.2%
82.0 3
 
1.2%
Other values (179) 211
84.7%
ValueCountFrequency (%)
29.0 1
0.4%
30.9 1
0.4%
33.0 1
0.4%
35.06 1
0.4%
35.3 1
0.4%
36.0 1
0.4%
39.0 2
0.8%
41.0 1
0.4%
42.0 1
0.4%
42.62 1
0.4%
ValueCountFrequency (%)
5644.0 1
0.4%
4907.0 1
0.4%
2425.0 1
0.4%
2131.0 1
0.4%
1851.0 1
0.4%
1700.0 2
0.8%
1368.0 1
0.4%
1314.0 1
0.4%
1204.0 1
0.4%
813.0 1
0.4%

이용가능인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.092369
Minimum7
Maximum2170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T04:03:25.716069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12.4
Q118
median24
Q330
95-th percentile254
Maximum2170
Range2163
Interquartile range (IQR)12

Descriptive statistics

Standard deviation181.20144
Coefficient of variation (CV)2.8720025
Kurtosis77.984034
Mean63.092369
Median Absolute Deviation (MAD)6
Skewness7.803038
Sum15710
Variance32833.963
MonotonicityNot monotonic
2023-12-13T04:03:25.888096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 28
 
11.2%
17 18
 
7.2%
25 17
 
6.8%
20 14
 
5.6%
22 13
 
5.2%
15 12
 
4.8%
19 11
 
4.4%
18 10
 
4.0%
21 8
 
3.2%
27 8
 
3.2%
Other values (56) 110
44.2%
ValueCountFrequency (%)
7 1
 
0.4%
8 1
 
0.4%
9 4
 
1.6%
10 4
 
1.6%
11 1
 
0.4%
12 2
 
0.8%
13 7
2.8%
14 3
 
1.2%
15 12
4.8%
16 7
2.8%
ValueCountFrequency (%)
2170 1
0.4%
932 1
0.4%
819 1
0.4%
711 1
0.4%
654 1
0.4%
653 1
0.4%
526 1
0.4%
505 1
0.4%
463 1
0.4%
313 1
0.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct246
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.468976
Minimum36.269669
Maximum36.660155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T04:03:26.040413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.269669
5-th percentile36.302092
Q136.391929
median36.465891
Q336.55021
95-th percentile36.622301
Maximum36.660155
Range0.390486
Interquartile range (IQR)0.1582808

Descriptive statistics

Standard deviation0.096383304
Coefficient of variation (CV)0.0026428848
Kurtosis-0.91479513
Mean36.468976
Median Absolute Deviation (MAD)0.0794039
Skewness-0.025578112
Sum9080.7751
Variance0.0092897412
MonotonicityNot monotonic
2023-12-13T04:03:26.231257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.5502098 2
 
0.8%
36.5787723 2
 
0.8%
36.3864868 2
 
0.8%
36.4147573 1
 
0.4%
36.6012489 1
 
0.4%
36.60235 1
 
0.4%
36.6234362 1
 
0.4%
36.6503801 1
 
0.4%
36.6418418 1
 
0.4%
36.5637201 1
 
0.4%
Other values (236) 236
94.8%
ValueCountFrequency (%)
36.269669 1
0.4%
36.273263 1
0.4%
36.2747338 1
0.4%
36.2752833 1
0.4%
36.28292 1
0.4%
36.28364032401701 1
0.4%
36.2857503 1
0.4%
36.28587602666782 1
0.4%
36.290167 1
0.4%
36.291501 1
0.4%
ValueCountFrequency (%)
36.660155 1
0.4%
36.6535454 1
0.4%
36.6503801 1
0.4%
36.6495358 1
0.4%
36.644408 1
0.4%
36.6434372 1
0.4%
36.6418418 1
0.4%
36.6415395 1
0.4%
36.6393408 1
0.4%
36.6355526 1
0.4%

경도
Real number (ℝ)

Distinct246
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.35379
Minimum129.17259
Maximum129.44976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T04:03:26.392452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.17259
5-th percentile129.24501
Q1129.31137
median129.37213
Q3129.40116
95-th percentile129.43517
Maximum129.44976
Range0.277169
Interquartile range (IQR)0.0897944

Descriptive statistics

Standard deviation0.06210397
Coefficient of variation (CV)0.00048010941
Kurtosis0.28903152
Mean129.35379
Median Absolute Deviation (MAD)0.035058051
Skewness-0.90181605
Sum32209.093
Variance0.0038569031
MonotonicityNot monotonic
2023-12-13T04:03:26.798582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.3478684 2
 
0.8%
129.2760509 2
 
0.8%
129.3064707 2
 
0.8%
129.3590612 1
 
0.4%
129.4134956 1
 
0.4%
129.4125537 1
 
0.4%
129.412219 1
 
0.4%
129.3695036 1
 
0.4%
129.421255 1
 
0.4%
129.3868718 1
 
0.4%
Other values (236) 236
94.8%
ValueCountFrequency (%)
129.172593 1
0.4%
129.175983 1
0.4%
129.177361 1
0.4%
129.182112 1
0.4%
129.182874 1
0.4%
129.187955 1
0.4%
129.188839 1
0.4%
129.192151 1
0.4%
129.19789 1
0.4%
129.216474 1
0.4%
ValueCountFrequency (%)
129.449762 1
0.4%
129.445453 1
0.4%
129.4443766 1
0.4%
129.4428748 1
0.4%
129.4423286320086 1
0.4%
129.44193940776995 1
0.4%
129.44173643984388 1
0.4%
129.440066 1
0.4%
129.4396663 1
0.4%
129.4383946 1
0.4%

Interactions

2023-12-13T04:03:20.114831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:17.892586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.624712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.078431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.529388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:20.223559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:17.991702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.714049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.155252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.628028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:20.381797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.075091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.810432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.239139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.729460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:20.510728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.156384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.900904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.326612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.901729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:20.632386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.529814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:18.993097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:19.433635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:20.009303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:03:26.893889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No시설유형시설면적이용가능인원(명)위도경도
No1.0000.5790.4300.4700.8940.774
시설유형0.5791.0000.8300.8740.0000.000
시설면적0.4300.8301.0000.9860.0870.000
이용가능인원(명)0.4700.8740.9861.0000.1460.000
위도0.8940.0000.0870.1461.0000.643
경도0.7740.0000.0000.0000.6431.000
2023-12-13T04:03:27.008032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No시설면적이용가능인원(명)위도경도시설유형
No1.0000.3310.3020.6370.0430.308
시설면적0.3311.0000.8240.0290.3250.637
이용가능인원(명)0.3020.8241.000-0.0780.3430.658
위도0.6370.029-0.0781.0000.1550.000
경도0.0430.3250.3430.1551.0000.000
시설유형0.3080.6370.6580.0000.0001.000

Missing values

2023-12-13T04:03:20.789980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:03:20.967338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

No쉼터명칭도로명주소지번주소시설유형시설면적이용가능인원(명)위도경도
01윗천전 경로당겸마을회관경상북도 영덕군 영덕읍 천전길 102-3경상북도 영덕군 영덕읍 천전리 216노인시설71.751836.414757129.359061
12아랫천전 경로당겸마을회관경상북도 영덕군 영덕읍 천전2길 6-5경상북도 영덕군 영덕읍 천전리 322-1노인시설54.31436.409979129.358608
23남산1리 경로당겸마을회관경상북도 영덕군 영덕읍 남산2길 16경상북도 영덕군 영덕읍 남산리 232-1노인시설99.02536.394986129.370014
34남산2리 경로당겸마을회관경상북도 영덕군 영덕읍 신공업단지길 104-3경상북도 영덕군 영덕읍 남산리 608노인시설83.882136.395606129.36094
45우곡리 경로당겸마을회관경상북도 영덕군 영덕읍 서원길 21-2경상북도 영덕군 영덕읍 우곡리 401-3노인시설99.42536.407994129.377277
56화수1리 경로당겸마을회관경상북도 영덕군 영덕읍 화수1길 12경상북도 영덕군 영덕읍 화수리 406-5노인시설68.751736.435394129.379794
67삼계리 경로당겸마을회관경상북도 영덕군 영덕읍 시걸길 194경상북도 영덕군 영덕읍 삼계리 273노인시설35.06936.431521129.402596
78매정1리 경로당겸마을회관경상북도 영덕군 영덕읍 매정길 225경상북도 영덕군 영덕읍 매정리 83-8노인시설68.01736.447623129.421749
89매정2리 경로당겸마을회관경상북도 영덕군 영덕읍 샛터길 3경상북도 영덕군 영덕읍 매정리 1013노인시설75.521936.45776129.407826
910매정3리 경로당겸마을회관경상북도 영덕군 영덕읍 매령길 270-14경상북도 영덕군 영덕읍 매정리 244노인시설63.681636.454917129.422795
No쉼터명칭도로명주소지번주소시설유형시설면적이용가능인원(명)위도경도
239240축산교회경상북도 영덕군 축산면 축산항1길 9-4경상북도 영덕군 축산면 축산항1길 9-4교회231.08836.507074129.441939
240241축산항초등학교경상북도 영덕군 축산면 축산항초교길 2경상북도 영덕군 축산면 축산항초교길 2학교691.026636.509516129.442329
241242축산항출장소경상북도 영덕군 축산면 영덕대게로 2053경상북도 영덕군 축산면 영덕대게로 2053관공서181.06936.505676129.441736
242243영해예주문화예술회관경상북도 영덕군 영해면 318만세길 36경상북도 영덕군 영해면 318만세길 36공공시설(국·공립도서관, 공립병원, 시·도민회관, 구민회관 주민체육시설, 노인병원, 어린이도서관 등)2425.093236.529786129.405043
243244영해면사무소경상북도 영덕군 영해면 예주3길 7경상북도 영덕군 영해면 예주3길 7관공서661.025436.537456129.407083
244245영해중고등학교경상북도 영덕군 영해면 예주길 135경상북도 영덕군 영해면 예주길 135학교1700.065336.542229129.413028
245246영해초등학교경상북도 영덕군 영해면 예주5길 22경상북도 영덕군 영해면 예주5길 22학교813.031336.538717129.411186
246247병곡면사무소경상북도 영덕군 병곡면 병곡길 72경상북도 영덕군 병곡면 병곡길 72관공서604.023236.602244129.410601
247248인량1리경로당경상북도 영덕군 창수면 인량2길 26경상북도 영덕군 창수면 인량2길 26경로당90.03436.554293129.373172
248249창수면사무소경상북도 영덕군 창수면 신기길 5경상북도 영덕군 창수면 신기길 5관공서198.07636.546275129.348236