Overview

Dataset statistics

Number of variables10
Number of observations309
Missing cells42
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.9 KiB
Average record size in memory82.4 B

Variable types

Categorical3
Text4
Numeric2
DateTime1

Dataset

Description남해군 병원, 경찰서, 소방서, 문화시설 등 정착지원시설 정보에 대한 데이터로 남해군 내 정착하기 위해 필요한 인프라 정보를 제공합니다
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15109539

Alerts

데이터기준일자 has constant value ""Constant
분류명 is highly overall correlated with 구분명 and 1 other fieldsHigh correlation
구분명 is highly overall correlated with 분류명 and 1 other fieldsHigh correlation
비고내용 is highly overall correlated with 구분명 and 1 other fieldsHigh correlation
비고내용 is highly imbalanced (72.7%)Imbalance
도로명주소 has 8 (2.6%) missing valuesMissing
관리자전화번호 has 34 (11.0%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:24:39.989004
Analysis finished2023-12-11 00:24:41.052336
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
의료
91 
문화/체육
76 
관공서
52 
교육
50 
편의시설
40 

Length

Max length5
Median length4
Mean length3.1650485
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료 91
29.4%
문화/체육 76
24.6%
관공서 52
16.8%
교육 50
16.2%
편의시설 40
12.9%

Length

2023-12-11T09:24:41.124948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:24:41.254717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료 91
29.4%
문화/체육 76
24.6%
관공서 52
16.8%
교육 50
16.2%
편의시설 40
12.9%

분류명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
문화
46 
체육
30 
보건기관
25 
편의점
25 
의원
24 
Other values (17)
159 

Length

Max length6
Median length4
Mean length3.0550162
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
문화 46
14.9%
체육 30
 
9.7%
보건기관 25
 
8.1%
편의점 25
 
8.1%
의원 24
 
7.8%
지방행정기관 23
 
7.4%
약국 19
 
6.1%
마트 15
 
4.9%
초등학교 13
 
4.2%
경찰기관 13
 
4.2%
Other values (12) 76
24.6%

Length

2023-12-11T09:24:41.363622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화 46
14.9%
체육 30
 
9.7%
보건기관 25
 
8.1%
편의점 25
 
8.1%
의원 24
 
7.8%
지방행정기관 23
 
7.4%
약국 19
 
6.1%
마트 15
 
4.9%
초등학교 13
 
4.2%
경찰기관 13
 
4.2%
Other values (12) 76
24.6%

운영기관명
Text

Distinct308
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T09:24:41.554994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.1779935
Min length3

Characters and Unicode

Total characters2218
Distinct characters265
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

Unique307 ?
Unique (%)99.4%

Sample

1st row남해경찰서
2nd row중앙지구대
3rd row삼동파출소
4th row창선파출소
5th row고현파출소
ValueCountFrequency (%)
cu 15
 
4.0%
병설유치원 9
 
2.4%
gs25 5
 
1.3%
게이트볼장 5
 
1.3%
남해점 4
 
1.1%
남해군 4
 
1.1%
남해스포츠파크 3
 
0.8%
테니스장 3
 
0.8%
고현초등학교 2
 
0.5%
미니스톱 2
 
0.5%
Other values (311) 327
86.3%
2023-12-11T09:24:41.878850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 113
 
5.1%
해 99
 
4.5%
70
 
3.2%
원 67
 
3.0%
학 55
 
2.5%
동 52
 
2.3%
의 47
 
2.1%
교 45
 
2.0%
터 44
 
2.0%
센 40
 
1.8%
Other values (255) 1586
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2076
93.6%
Space Separator 70
 
3.2%
Uppercase Letter 44
 
2.0%
Decimal Number 22
 
1.0%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 113
 
5.4%
해 99
 
4.8%
원 67
 
3.2%
학 55
 
2.6%
동 52
 
2.5%
의 47
 
2.3%
교 45
 
2.2%
터 44
 
2.1%
센 40
 
1.9%
지 36
 
1.7%
Other values (238) 1478
71.2%
Uppercase Letter
ValueCountFrequency (%)
U 15
34.1%
C 15
34.1%
S 6
 
13.6%
G 5
 
11.4%
H 1
 
2.3%
A 1
 
2.3%
R 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 7
31.8%
2 6
27.3%
5 5
22.7%
9 3
13.6%
4 1
 
4.5%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2076
93.6%
Common 98
 
4.4%
Latin 44
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 113
 
5.4%
해 99
 
4.8%
원 67
 
3.2%
학 55
 
2.6%
동 52
 
2.5%
의 47
 
2.3%
교 45
 
2.2%
터 44
 
2.1%
센 40
 
1.9%
지 36
 
1.7%
Other values (238) 1478
71.2%
Common
ValueCountFrequency (%)
70
71.4%
1 7
 
7.1%
2 6
 
6.1%
5 5
 
5.1%
9 3
 
3.1%
) 2
 
2.0%
( 2
 
2.0%
4 1
 
1.0%
+ 1
 
1.0%
& 1
 
1.0%
Latin
ValueCountFrequency (%)
U 15
34.1%
C 15
34.1%
S 6
 
13.6%
G 5
 
11.4%
H 1
 
2.3%
A 1
 
2.3%
R 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2076
93.6%
ASCII 142
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 113
 
5.4%
해 99
 
4.8%
원 67
 
3.2%
학 55
 
2.6%
동 52
 
2.5%
의 47
 
2.3%
교 45
 
2.2%
터 44
 
2.1%
센 40
 
1.9%
지 36
 
1.7%
Other values (238) 1478
71.2%
ASCII
ValueCountFrequency (%)
70
49.3%
U 15
 
10.6%
C 15
 
10.6%
1 7
 
4.9%
S 6
 
4.2%
2 6
 
4.2%
5 5
 
3.5%
G 5
 
3.5%
9 3
 
2.1%
) 2
 
1.4%
Other values (7) 8
 
5.6%

지번주소
Text

Distinct256
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T09:24:42.237498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.537217
Min length19

Characters and Unicode

Total characters6655
Distinct characters88
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

Unique215 ?
Unique (%)69.6%

Sample

1st row경상남도 남해군 남해읍 북변리 179-1
2nd row경상남도 남해군 남해읍 북변리 264-4
3rd row경상남도 남해군 삼동면 지족리 286
4th row경상남도 남해군 창선면 상죽리 122
5th row경상남도 남해군 고현면 대사리 911-8
ValueCountFrequency (%)
경상남도 309
20.0%
남해군 309
20.0%
남해읍 106
 
6.9%
북변리 60
 
3.9%
창선면 35
 
2.3%
삼동면 33
 
2.1%
남면 28
 
1.8%
이동면 22
 
1.4%
미조면 20
 
1.3%
서면 20
 
1.3%
Other values (307) 603
39.0%
2023-12-11T09:24:42.709587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1236
18.6%
남 774
 
11.6%
해 415
 
6.2%
상 357
 
5.4%
도 313
 
4.7%
경 309
 
4.6%
군 309
 
4.6%
리 307
 
4.6%
1 305
 
4.6%
- 214
 
3.2%
Other values (78) 2116
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3973
59.7%
Space Separator 1236
 
18.6%
Decimal Number 1232
 
18.5%
Dash Punctuation 214
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 774
19.5%
해 415
10.4%
상 357
9.0%
도 313
 
7.9%
경 309
 
7.8%
군 309
 
7.8%
리 307
 
7.7%
면 204
 
5.1%
읍 106
 
2.7%
변 85
 
2.1%
Other values (66) 794
20.0%
Decimal Number
ValueCountFrequency (%)
1 305
24.8%
2 161
13.1%
5 121
 
9.8%
3 121
 
9.8%
4 117
 
9.5%
0 92
 
7.5%
7 90
 
7.3%
8 82
 
6.7%
6 79
 
6.4%
9 64
 
5.2%
Space Separator
ValueCountFrequency (%)
1236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3973
59.7%
Common 2682
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 774
19.5%
해 415
10.4%
상 357
9.0%
도 313
 
7.9%
경 309
 
7.8%
군 309
 
7.8%
리 307
 
7.7%
면 204
 
5.1%
읍 106
 
2.7%
변 85
 
2.1%
Other values (66) 794
20.0%
Common
ValueCountFrequency (%)
1236
46.1%
1 305
 
11.4%
- 214
 
8.0%
2 161
 
6.0%
5 121
 
4.5%
3 121
 
4.5%
4 117
 
4.4%
0 92
 
3.4%
7 90
 
3.4%
8 82
 
3.1%
Other values (2) 143
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3973
59.7%
ASCII 2682
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1236
46.1%
1 305
 
11.4%
- 214
 
8.0%
2 161
 
6.0%
5 121
 
4.5%
3 121
 
4.5%
4 117
 
4.4%
0 92
 
3.4%
7 90
 
3.4%
8 82
 
3.1%
Other values (2) 143
 
5.3%
Hangul
ValueCountFrequency (%)
남 774
19.5%
해 415
10.4%
상 357
9.0%
도 313
 
7.9%
경 309
 
7.8%
군 309
 
7.8%
리 307
 
7.7%
면 204
 
5.1%
읍 106
 
2.7%
변 85
 
2.1%
Other values (66) 794
20.0%

도로명주소
Text

MISSING 

Distinct253
Distinct (%)84.1%
Missing8
Missing (%)2.6%
Memory size2.5 KiB
2023-12-11T09:24:42.921797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length21.61794
Min length15

Characters and Unicode

Total characters6507
Distinct characters73
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

Unique213 ?
Unique (%)70.8%

Sample

1st row경상남도 남해군 남해읍 화전로 89
2nd row경상남도 남해군 남해읍 화전로96번길 30
3rd row경상남도 남해군 삼동면 동부대로1876번길 8
4th row경상남도 남해군 창선면 창선로 99
5th row경상남도 남해군 고현면 탑동로 75-4
ValueCountFrequency (%)
남해군 299
19.9%
경상남도 296
19.7%
남해읍 100
 
6.7%
화전로 35
 
2.3%
삼동면 34
 
2.3%
창선면 34
 
2.3%
남면 26
 
1.7%
동부대로 21
 
1.4%
서면 20
 
1.3%
이동면 19
 
1.3%
Other values (274) 616
41.1%
2023-12-11T09:24:43.265959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1200
18.4%
남 792
 
12.2%
해 423
 
6.5%
상 309
 
4.7%
경 301
 
4.6%
군 301
 
4.6%
도 298
 
4.6%
로 294
 
4.5%
1 212
 
3.3%
면 206
 
3.2%
Other values (63) 2171
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4171
64.1%
Space Separator 1200
 
18.4%
Decimal Number 1062
 
16.3%
Dash Punctuation 74
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 792
19.0%
해 423
10.1%
상 309
 
7.4%
경 301
 
7.2%
군 301
 
7.2%
도 298
 
7.1%
로 294
 
7.0%
면 206
 
4.9%
길 111
 
2.7%
번 104
 
2.5%
Other values (51) 1032
24.7%
Decimal Number
ValueCountFrequency (%)
1 212
20.0%
6 122
11.5%
7 117
11.0%
2 115
10.8%
8 107
10.1%
4 94
8.9%
9 83
 
7.8%
3 80
 
7.5%
5 69
 
6.5%
0 63
 
5.9%
Space Separator
ValueCountFrequency (%)
1200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4171
64.1%
Common 2336
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 792
19.0%
해 423
10.1%
상 309
 
7.4%
경 301
 
7.2%
군 301
 
7.2%
도 298
 
7.1%
로 294
 
7.0%
면 206
 
4.9%
길 111
 
2.7%
번 104
 
2.5%
Other values (51) 1032
24.7%
Common
ValueCountFrequency (%)
1200
51.4%
1 212
 
9.1%
6 122
 
5.2%
7 117
 
5.0%
2 115
 
4.9%
8 107
 
4.6%
4 94
 
4.0%
9 83
 
3.6%
3 80
 
3.4%
- 74
 
3.2%
Other values (2) 132
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4171
64.1%
ASCII 2336
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1200
51.4%
1 212
 
9.1%
6 122
 
5.2%
7 117
 
5.0%
2 115
 
4.9%
8 107
 
4.6%
4 94
 
4.0%
9 83
 
3.6%
3 80
 
3.4%
- 74
 
3.2%
Other values (2) 132
 
5.7%
Hangul
ValueCountFrequency (%)
남 792
19.0%
해 423
10.1%
상 309
 
7.4%
경 301
 
7.2%
군 301
 
7.2%
도 298
 
7.1%
로 294
 
7.0%
면 206
 
4.9%
길 111
 
2.7%
번 104
 
2.5%
Other values (51) 1032
24.7%

관리자전화번호
Text

MISSING 

Distinct241
Distinct (%)87.6%
Missing34
Missing (%)11.0%
Memory size2.5 KiB
2023-12-11T09:24:43.573814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.025455
Min length12

Characters and Unicode

Total characters3307
Distinct characters12
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

Unique231 ?
Unique (%)84.0%

Sample

1st row055-863-2112
2nd row055-867-0112
3rd row055-867-1112
4th row055-862-3112
5th row055-862-8112
ValueCountFrequency (%)
055-860-3837 9
 
3.3%
055-860-8664 9
 
3.3%
055-860-8661 7
 
2.5%
055-860-8671 7
 
2.5%
055-862-6112 2
 
0.7%
055-863-1655 2
 
0.7%
055-860-3560 2
 
0.7%
055-860-8253 2
 
0.7%
055-863-1990 2
 
0.7%
055-864-4243 2
 
0.7%
Other values (231) 231
84.0%
2023-12-11T09:24:43.938308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 645
19.5%
- 550
16.6%
0 502
15.2%
8 418
12.6%
6 394
11.9%
2 187
 
5.7%
7 149
 
4.5%
1 148
 
4.5%
3 142
 
4.3%
4 110
 
3.3%
Other values (2) 62
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2755
83.3%
Dash Punctuation 550
 
16.6%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 645
23.4%
0 502
18.2%
8 418
15.2%
6 394
14.3%
2 187
 
6.8%
7 149
 
5.4%
1 148
 
5.4%
3 142
 
5.2%
4 110
 
4.0%
9 60
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 550
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3307
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 645
19.5%
- 550
16.6%
0 502
15.2%
8 418
12.6%
6 394
11.9%
2 187
 
5.7%
7 149
 
4.5%
1 148
 
4.5%
3 142
 
4.3%
4 110
 
3.3%
Other values (2) 62
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 645
19.5%
- 550
16.6%
0 502
15.2%
8 418
12.6%
6 394
11.9%
2 187
 
5.7%
7 149
 
4.5%
1 148
 
4.5%
3 142
 
4.3%
4 110
 
3.3%
Other values (2) 62
 
1.9%

비고내용
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
278 
안전상비의약품판매업소
 
26
천연잔디
 
4
인조잔디
 
1

Length

Max length11
Median length4
Mean length4.5889968
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 278
90.0%
안전상비의약품판매업소 26
 
8.4%
천연잔디 4
 
1.3%
인조잔디 1
 
0.3%

Length

2023-12-11T09:24:44.356704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:24:44.462244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 278
90.0%
안전상비의약품판매업소 26
 
8.4%
천연잔디 4
 
1.3%
인조잔디 1
 
0.3%

위도
Real number (ℝ)

Distinct244
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.82538
Minimum34.709297
Maximum34.94122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T09:24:44.577669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.709297
5-th percentile34.722371
Q134.802247
median34.837379
Q334.844866
95-th percentile34.921459
Maximum34.94122
Range0.2319227
Interquartile range (IQR)0.0426187

Descriptive statistics

Standard deviation0.052032157
Coefficient of variation (CV)0.0014940873
Kurtosis0.11031878
Mean34.82538
Median Absolute Deviation (MAD)0.0253073
Skewness-0.24496031
Sum10761.042
Variance0.0027073453
MonotonicityNot monotonic
2023-12-11T09:24:44.729727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.7355131 11
 
3.6%
34.844866 4
 
1.3%
34.8404491 4
 
1.3%
34.8375507 4
 
1.3%
34.8051393 4
 
1.3%
34.7430185 4
 
1.3%
34.8377518 4
 
1.3%
34.8127651 3
 
1.0%
34.8400093 3
 
1.0%
34.8965691 2
 
0.6%
Other values (234) 266
86.1%
ValueCountFrequency (%)
34.7092972 1
0.3%
34.7100944 1
0.3%
34.7114022 1
0.3%
34.7116932 1
0.3%
34.7118122 1
0.3%
34.7119044 1
0.3%
34.7120763 1
0.3%
34.7122048 1
0.3%
34.7122358 1
0.3%
34.712274 1
0.3%
ValueCountFrequency (%)
34.9412199 1
0.3%
34.9411434 1
0.3%
34.9411376 1
0.3%
34.9407648 1
0.3%
34.9407324 1
0.3%
34.93994 1
0.3%
34.9266409 1
0.3%
34.9263035 2
0.6%
34.9252063 1
0.3%
34.9251109 1
0.3%

경도
Real number (ℝ)

Distinct244
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.93234
Minimum127.81867
Maximum128.06028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T09:24:44.888025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.81867
5-th percentile127.83835
Q1127.89168
median127.89692
Q3128.00092
95-th percentile128.04526
Maximum128.06028
Range0.2416112
Interquartile range (IQR)0.1092382

Descriptive statistics

Standard deviation0.065689127
Coefficient of variation (CV)0.00051346773
Kurtosis-1.1505667
Mean127.93234
Median Absolute Deviation (MAD)0.0291792
Skewness0.47480901
Sum39531.092
Variance0.0043150614
MonotonicityNot monotonic
2023-12-11T09:24:45.021163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9940505 11
 
3.6%
127.8997847 4
 
1.3%
127.8938452 4
 
1.3%
127.8969235 4
 
1.3%
127.833313 4
 
1.3%
128.032001 4
 
1.3%
127.8907632 4
 
1.3%
127.8327304 3
 
1.0%
127.8950671 3
 
1.0%
127.8785425 2
 
0.6%
Other values (234) 266
86.1%
ValueCountFrequency (%)
127.8186715 1
 
0.3%
127.8236611 1
 
0.3%
127.8285478 1
 
0.3%
127.8300697 1
 
0.3%
127.8327304 3
1.0%
127.833313 4
1.3%
127.8347895 1
 
0.3%
127.8361611 1
 
0.3%
127.8366107 1
 
0.3%
127.8377782 1
 
0.3%
ValueCountFrequency (%)
128.0602827 1
0.3%
128.0536462 1
0.3%
128.0514217 1
0.3%
128.0481011 1
0.3%
128.0472639 1
0.3%
128.0468926 1
0.3%
128.0467811 1
0.3%
128.0467626 1
0.3%
128.0464698 1
0.3%
128.0464093 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2022-10-06 00:00:00
Maximum2022-10-06 00:00:00
2023-12-11T09:24:45.134663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:24:45.226353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:24:40.589648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:24:40.425520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:24:40.674676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:24:40.505738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:24:45.325467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분명분류명비고내용위도경도
구분명1.0001.0001.0000.2450.324
분류명1.0001.0000.9330.0000.132
비고내용1.0000.9331.0000.4530.000
위도0.2450.0000.4531.0000.903
경도0.3240.1320.0000.9031.000
2023-12-11T09:24:45.461037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류명구분명비고내용
분류명1.0000.9720.681
구분명0.9721.0000.983
비고내용0.6810.9831.000
2023-12-11T09:24:45.560789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분명분류명비고내용
위도1.000-0.1550.1030.0000.247
경도-0.1551.0000.1390.0460.000
구분명0.1030.1391.0000.9720.983
분류명0.0000.0460.9721.0000.681
비고내용0.2470.0000.9830.6811.000

Missing values

2023-12-11T09:24:40.788935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:24:40.901443image/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.
2023-12-11T09:24:40.994351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분명분류명운영기관명지번주소도로명주소관리자전화번호비고내용위도경도데이터기준일자
0관공서경찰기관남해경찰서경상남도 남해군 남해읍 북변리 179-1경상남도 남해군 남해읍 화전로 89<NA><NA>34.839538127.8931052022-10-06
1관공서경찰기관중앙지구대경상남도 남해군 남해읍 북변리 264-4경상남도 남해군 남해읍 화전로96번길 30055-863-2112<NA>34.839759127.8970612022-10-06
2관공서경찰기관삼동파출소경상남도 남해군 삼동면 지족리 286경상남도 남해군 삼동면 동부대로1876번길 8055-867-0112<NA>34.831395128.0003422022-10-06
3관공서경찰기관창선파출소경상남도 남해군 창선면 상죽리 122경상남도 남해군 창선면 창선로 99055-867-1112<NA>34.857662128.0126412022-10-06
4관공서경찰기관고현파출소경상남도 남해군 고현면 대사리 911-8경상남도 남해군 고현면 탑동로 75-4055-862-3112<NA>34.89791127.8720912022-10-06
5관공서경찰기관남면파출소경상남도 남해군 남면 당항리 1485-3경상남도 남해군 남면 남서대로 774055-862-8112<NA>34.771273127.8872672022-10-06
6관공서경찰기관미조파출소경상남도 남해군 미조면 미조리 105-14경상남도 남해군 미조면 미송로 52055-867-6112<NA>34.712205128.0455862022-10-06
7관공서경찰기관이동치안센터경상남도 남해군 이동면 무림리 921-3경상남도 남해군 이동면 무림로 86055-862-5112<NA>34.79938127.9556952022-10-06
8관공서경찰기관서면치안센터경상남도 남해군 서면 서상리 683경상남도 남해군 서면 남서대로 1637055-862-6112<NA>34.807658127.8377782022-10-06
9관공서경찰기관창선치안센터경상남도 남해군 창선면 대벽리 산9-47경상남도 남해군 창선면 동부대로 3017055-867-4559<NA>34.919711128.0318452022-10-06
구분명분류명운영기관명지번주소도로명주소관리자전화번호비고내용위도경도데이터기준일자
299편의시설편의점GS25 남해체육관점경상남도 남해군 남해읍 서변리 183-6경상남도 남해군 남해읍 화전로43번길 10<NA>안전상비의약품판매업소34.834404127.8942132022-10-06
300편의시설편의점CU 남해현대점경상남도 남해군 남해읍 남변리 395-10경상남도 남해군 남해읍 화전로 60055-864-4243안전상비의약품판매업소34.836648127.8945542022-10-06
301편의시설편의점GS25 남해은모래점경상남도 남해군 상주면 상주리 1250-3경상남도 남해군 상주면 상주로 12-5055-862-5788안전상비의약품판매업소34.735513127.9940512022-10-06
302편의시설편의점CU 남해이동점경상남도 남해군 이동면 무림리 1221-11경상남도 남해군 이동면 무림로45번길 3-1055-863-6565안전상비의약품판매업소34.801836127.9534692022-10-06
303편의시설편의점CU 남해힐튼점경상남도 남해군 남면 덕월리 293경상남도 남해군 남면 남서대로1179번길 33-1<NA>안전상비의약품판매업소34.779018127.8581922022-10-06
304편의시설편의점미니스톱 남해대교 엔젤점경상남도 남해군 설천면 노량리 439-13경상남도 남해군 설천면 노량로183번길 12<NA>안전상비의약품판매업소34.941138127.8745752022-10-06
305편의시설편의점GS25 남해보물섬점경상남도 남해군 남해읍 북변리 96-12경상남도 남해군 남해읍 화전로78번길 16<NA>안전상비의약품판매업소34.838097127.8957682022-10-06
306편의시설편의점CU 남해평산점경상남도 남해군 남면 평산리 1658경상남도 남해군 남면 남면로 1747<NA>안전상비의약품판매업소34.768563127.8520472022-10-06
307편의시설편의점CU 남해고현점경상남도 남해군 고현면 대사리 758-4경상남도 남해군 고현면 탑동로 55<NA>안전상비의약품판매업소34.895972127.8730032022-10-06
308편의시설편의점CU 남해창선센터점경상남도 남해군 창선면 수산리 196-2경상남도 남해군 창선면 창선로 79<NA>안전상비의약품판매업소34.856465128.0131932022-10-06