Overview

Dataset statistics

Number of variables11
Number of observations254
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory91.5 B

Variable types

Categorical5
Text3
DateTime1
Numeric2

Dataset

Description부산광역시_동구_적사장(제설함)현황_20220525
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3080732

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
행정동명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
관리기관(부서) is highly overall correlated with 위도 and 3 other fieldsHigh correlation
연락처 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
수량 is highly imbalanced (90.3%)Imbalance
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:46:21.362111
Analysis finished2023-12-10 16:46:23.058826
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
범일1동
50 
초량6동
25 
좌천동
25 
수정4동
23 
수정2동
22 
Other values (7)
109 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초량1동
2nd row초량1동
3rd row초량1동
4th row초량1동
5th row초량1동

Common Values

ValueCountFrequency (%)
범일1동 50
19.7%
초량6동 25
9.8%
좌천동 25
9.8%
수정4동 23
9.1%
수정2동 22
8.7%
수정5동 21
8.3%
초량1동 18
 
7.1%
초량2동 18
 
7.1%
초량3동 18
 
7.1%
수정1동 12
 
4.7%
Other values (2) 22
8.7%

Length

2023-12-11T01:46:23.136984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
범일1동 50
19.7%
초량6동 25
9.8%
좌천동 25
9.8%
수정4동 23
9.1%
수정2동 22
8.7%
수정5동 21
8.3%
초량1동 18
 
7.1%
초량2동 18
 
7.1%
초량3동 18
 
7.1%
수정1동 12
 
4.7%
Other values (2) 22
8.7%

설치장소
Text

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T01:46:23.458212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length21.070866
Min length6

Characters and Unicode

Total characters5352
Distinct characters321
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

Unique254 ?
Unique (%)100.0%

Sample

1st row배룡선빌리지 밑 사거리(초량상로 27-1)
2nd row위드빌라와 오드리햅번 미용실사이(초량중로17번길 13)
3rd row배룡선빌리지위 파크빌인근(초량상로25번길 14)
4th row초강경로당 밑 계단아래(초량상로37번길 11)
5th row부영슈퍼 옆 (초량동 1069-1)
ValueCountFrequency (%)
앞 50
 
5.1%
옆 23
 
2.4%
맞은편 19
 
2.0%
1 13
 
1.3%
입구 11
 
1.1%
13 10
 
1.0%
5 8
 
0.8%
위 8
 
0.8%
중앙대로 8
 
0.8%
증산로 8
 
0.8%
Other values (626) 815
83.8%
2023-12-11T01:46:24.134575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
730
 
13.6%
로 275
 
5.1%
( 250
 
4.7%
) 250
 
4.7%
1 183
 
3.4%
길 112
 
2.1%
2 108
 
2.0%
앞 108
 
2.0%
번 96
 
1.8%
정 93
 
1.7%
Other values (311) 3147
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3208
59.9%
Decimal Number 852
 
15.9%
Space Separator 730
 
13.6%
Open Punctuation 250
 
4.7%
Close Punctuation 250
 
4.7%
Dash Punctuation 47
 
0.9%
Uppercase Letter 11
 
0.2%
Other Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 275
 
8.6%
길 112
 
3.5%
앞 108
 
3.4%
번 96
 
3.0%
정 93
 
2.9%
수 84
 
2.6%
동 73
 
2.3%
초 61
 
1.9%
구 60
 
1.9%
옆 55
 
1.7%
Other values (288) 2191
68.3%
Decimal Number
ValueCountFrequency (%)
1 183
21.5%
2 108
12.7%
3 91
10.7%
5 87
10.2%
4 86
10.1%
7 78
9.2%
6 63
 
7.4%
8 62
 
7.3%
9 51
 
6.0%
0 43
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
B 2
18.2%
S 2
18.2%
A 1
 
9.1%
D 1
 
9.1%
U 1
 
9.1%
L 1
 
9.1%
Space Separator
ValueCountFrequency (%)
730
100.0%
Open Punctuation
ValueCountFrequency (%)
( 250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3208
59.9%
Common 2133
39.9%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 275
 
8.6%
길 112
 
3.5%
앞 108
 
3.4%
번 96
 
3.0%
정 93
 
2.9%
수 84
 
2.6%
동 73
 
2.3%
초 61
 
1.9%
구 60
 
1.9%
옆 55
 
1.7%
Other values (288) 2191
68.3%
Common
ValueCountFrequency (%)
730
34.2%
( 250
 
11.7%
) 250
 
11.7%
1 183
 
8.6%
2 108
 
5.1%
3 91
 
4.3%
5 87
 
4.1%
4 86
 
4.0%
7 78
 
3.7%
6 63
 
3.0%
Other values (6) 207
 
9.7%
Latin
ValueCountFrequency (%)
C 3
27.3%
B 2
18.2%
S 2
18.2%
A 1
 
9.1%
D 1
 
9.1%
U 1
 
9.1%
L 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3208
59.9%
ASCII 2144
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
730
34.0%
( 250
 
11.7%
) 250
 
11.7%
1 183
 
8.5%
2 108
 
5.0%
3 91
 
4.2%
5 87
 
4.1%
4 86
 
4.0%
7 78
 
3.6%
6 63
 
2.9%
Other values (13) 218
 
10.2%
Hangul
ValueCountFrequency (%)
로 275
 
8.6%
길 112
 
3.5%
앞 108
 
3.4%
번 96
 
3.0%
정 93
 
2.9%
수 84
 
2.6%
동 73
 
2.3%
초 61
 
1.9%
구 60
 
1.9%
옆 55
 
1.7%
Other values (288) 2191
68.3%

소재지도로명주소
Text

Distinct236
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T01:46:24.755914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20.5
Mean length17.633858
Min length12

Characters and Unicode

Total characters4479
Distinct characters62
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

Unique221 ?
Unique (%)87.0%

Sample

1st row부산광역시 동구 초량상로 27-1
2nd row부산광역시 동구 초량중로17번길 13
3rd row부산광역시 동구 초량상로25번길 14
4th row부산광역시 동구 초량상로37번길 11
5th row부산광역시 동구 초량동 1069-1
ValueCountFrequency (%)
동구 257
25.1%
부산광역시 254
24.9%
망양로 24
 
2.3%
중앙대로 18
 
1.8%
1 13
 
1.3%
13 10
 
1.0%
안창로 10
 
1.0%
증산로 9
 
0.9%
5 9
 
0.9%
수정공원로 8
 
0.8%
Other values (260) 410
40.1%
2023-12-11T01:46:25.633064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
770
17.2%
산 274
 
6.1%
동 272
 
6.1%
구 266
 
5.9%
부 256
 
5.7%
광 254
 
5.7%
역 254
 
5.7%
시 254
 
5.7%
로 234
 
5.2%
1 164
 
3.7%
Other values (52) 1481
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2890
64.5%
Decimal Number 777
 
17.3%
Space Separator 770
 
17.2%
Dash Punctuation 42
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 274
9.5%
동 272
9.4%
구 266
9.2%
부 256
8.9%
광 254
 
8.8%
역 254
 
8.8%
시 254
 
8.8%
로 234
 
8.1%
길 102
 
3.5%
번 89
 
3.1%
Other values (40) 635
22.0%
Decimal Number
ValueCountFrequency (%)
1 164
21.1%
2 94
12.1%
3 82
10.6%
5 78
10.0%
4 75
9.7%
7 74
9.5%
8 62
 
8.0%
6 59
 
7.6%
9 48
 
6.2%
0 41
 
5.3%
Space Separator
ValueCountFrequency (%)
770
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2890
64.5%
Common 1589
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 274
9.5%
동 272
9.4%
구 266
9.2%
부 256
8.9%
광 254
 
8.8%
역 254
 
8.8%
시 254
 
8.8%
로 234
 
8.1%
길 102
 
3.5%
번 89
 
3.1%
Other values (40) 635
22.0%
Common
ValueCountFrequency (%)
770
48.5%
1 164
 
10.3%
2 94
 
5.9%
3 82
 
5.2%
5 78
 
4.9%
4 75
 
4.7%
7 74
 
4.7%
8 62
 
3.9%
6 59
 
3.7%
9 48
 
3.0%
Other values (2) 83
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2890
64.5%
ASCII 1589
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
770
48.5%
1 164
 
10.3%
2 94
 
5.9%
3 82
 
5.2%
5 78
 
4.9%
4 75
 
4.7%
7 74
 
4.7%
8 62
 
3.9%
6 59
 
3.7%
9 48
 
3.0%
Other values (2) 83
 
5.2%
Hangul
ValueCountFrequency (%)
산 274
9.5%
동 272
9.4%
구 266
9.2%
부 256
8.9%
광 254
 
8.8%
역 254
 
8.8%
시 254
 
8.8%
로 234
 
8.1%
길 102
 
3.5%
번 89
 
3.1%
Other values (40) 635
22.0%

소재지지번주소
Text

Distinct232
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T01:46:26.224692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.019685
Min length12

Characters and Unicode

Total characters4831
Distinct characters27
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

Unique212 ?
Unique (%)83.5%

Sample

1st row부산광역시 동구 초량동 1066-2
2nd row부산광역시 동구 초량동 1057-57
3rd row부산광역시 동구 초량동 1065-4
4th row부산광역시 동구 초량동 1069-56
5th row부산광역시 동구 초량동 1069-1
ValueCountFrequency (%)
부산광역시 254
24.8%
동구 254
24.8%
초량동 79
 
7.7%
수정동 78
 
7.6%
범일동 60
 
5.8%
좌천동 37
 
3.6%
산 13
 
1.3%
1526-44 3
 
0.3%
825-43 2
 
0.2%
1302-366 2
 
0.2%
Other values (225) 244
23.8%
2023-12-11T01:46:26.915849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
776
16.1%
동 508
 
10.5%
산 267
 
5.5%
1 260
 
5.4%
부 254
 
5.3%
광 254
 
5.3%
역 254
 
5.3%
시 254
 
5.3%
구 254
 
5.3%
- 242
 
5.0%
Other values (17) 1508
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2553
52.8%
Decimal Number 1260
26.1%
Space Separator 776
 
16.1%
Dash Punctuation 242
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 508
19.9%
산 267
10.5%
부 254
9.9%
광 254
9.9%
역 254
9.9%
시 254
9.9%
구 254
9.9%
량 79
 
3.1%
초 79
 
3.1%
수 78
 
3.1%
Other values (5) 272
10.7%
Decimal Number
ValueCountFrequency (%)
1 260
20.6%
4 130
10.3%
3 128
10.2%
6 124
9.8%
2 120
9.5%
5 116
9.2%
8 110
8.7%
0 102
 
8.1%
7 98
 
7.8%
9 72
 
5.7%
Space Separator
ValueCountFrequency (%)
776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2553
52.8%
Common 2278
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 508
19.9%
산 267
10.5%
부 254
9.9%
광 254
9.9%
역 254
9.9%
시 254
9.9%
구 254
9.9%
량 79
 
3.1%
초 79
 
3.1%
수 78
 
3.1%
Other values (5) 272
10.7%
Common
ValueCountFrequency (%)
776
34.1%
1 260
 
11.4%
- 242
 
10.6%
4 130
 
5.7%
3 128
 
5.6%
6 124
 
5.4%
2 120
 
5.3%
5 116
 
5.1%
8 110
 
4.8%
0 102
 
4.5%
Other values (2) 170
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2553
52.8%
ASCII 2278
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
776
34.1%
1 260
 
11.4%
- 242
 
10.6%
4 130
 
5.7%
3 128
 
5.6%
6 124
 
5.4%
2 120
 
5.3%
5 116
 
5.1%
8 110
 
4.8%
0 102
 
4.5%
Other values (2) 170
 
7.5%
Hangul
ValueCountFrequency (%)
동 508
19.9%
산 267
10.5%
부 254
9.9%
광 254
9.9%
역 254
9.9%
시 254
9.9%
구 254
9.9%
량 79
 
3.1%
초 79
 
3.1%
수 78
 
3.1%
Other values (5) 272
10.7%

수량
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
249 
2
 
4
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 249
98.0%
2 4
 
1.6%
5 1
 
0.4%

Length

2023-12-11T01:46:27.102774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:46:27.210792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 249
98.0%
2 4
 
1.6%
5 1
 
0.4%

관리기관(부서)
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
범일1동 행정복지센터
50 
초량6동 행정복지센터
25 
좌천동 행정복지센터
25 
수정4동 행정복지센터
23 
수정2동 행정복지센터
22 
Other values (7)
109 

Length

Max length11
Median length11
Mean length10.901575
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초량1동 행정복지센터
2nd row초량1동 행정복지센터
3rd row초량1동 행정복지센터
4th row초량1동 행정복지센터
5th row초량1동 행정복지센터

Common Values

ValueCountFrequency (%)
범일1동 행정복지센터 50
19.7%
초량6동 행정복지센터 25
9.8%
좌천동 행정복지센터 25
9.8%
수정4동 행정복지센터 23
9.1%
수정2동 행정복지센터 22
8.7%
수정5동 행정복지센터 21
8.3%
초량1동 행정복지센터 18
 
7.1%
초량2동 행정복지센터 18
 
7.1%
초량3동 행정복지센터 18
 
7.1%
수정1동 행정복지센터 12
 
4.7%
Other values (2) 22
8.7%

Length

2023-12-11T01:46:27.349920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
행정복지센터 254
50.0%
범일1동 50
 
9.8%
초량6동 25
 
4.9%
좌천동 25
 
4.9%
수정4동 23
 
4.5%
수정2동 22
 
4.3%
수정5동 21
 
4.1%
초량1동 18
 
3.5%
초량2동 18
 
3.5%
초량3동 18
 
3.5%
Other values (3) 34
 
6.7%

연락처
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
051-440-6352
50 
051-440-6162
25 
051-440-6268
25 
051-440-6222
23 
051-440-6214
22 
Other values (7)
109 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-440-6102
2nd row051-440-6102
3rd row051-440-6102
4th row051-440-6102
5th row051-440-6102

Common Values

ValueCountFrequency (%)
051-440-6352 50
19.7%
051-440-6162 25
9.8%
051-440-6268 25
9.8%
051-440-6222 23
9.1%
051-440-6214 22
8.7%
051-440-6242 21
8.3%
051-440-6102 18
 
7.1%
051-440-6136 18
 
7.1%
051-440-6152 18
 
7.1%
051-440-6187 12
 
4.7%
Other values (2) 22
8.7%

Length

2023-12-11T01:46:27.490597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-440-6352 50
19.7%
051-440-6162 25
9.8%
051-440-6268 25
9.8%
051-440-6222 23
9.1%
051-440-6214 22
8.7%
051-440-6242 21
8.3%
051-440-6102 18
 
7.1%
051-440-6136 18
 
7.1%
051-440-6152 18
 
7.1%
051-440-6187 12
 
4.7%
Other values (2) 22
8.7%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
부산광역시 동구
254 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동구
2nd row부산광역시 동구
3rd row부산광역시 동구
4th row부산광역시 동구
5th row부산광역시 동구

Common Values

ValueCountFrequency (%)
부산광역시 동구 254
100.0%

Length

2023-12-11T01:46:27.653431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:46:27.807673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 254
50.0%
동구 254
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2022-05-25 00:00:00
Maximum2022-05-25 00:00:00
2023-12-11T01:46:27.942781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:28.163354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct244
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.129806
Minimum35.11262
Maximum35.145918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T01:46:28.336426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.11262
5-th percentile35.115892
Q135.123057
median35.130302
Q335.136306
95-th percentile35.145131
Maximum35.145918
Range0.03329816
Interquartile range (IQR)0.013249747

Descriptive statistics

Standard deviation0.008692137
Coefficient of variation (CV)0.00024742912
Kurtosis-0.93245378
Mean35.129806
Median Absolute Deviation (MAD)0.006713595
Skewness-0.017493532
Sum8922.9707
Variance7.5553246 × 10-5
MonotonicityNot monotonic
2023-12-11T01:46:28.577087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.14587132 3
 
1.2%
35.11449 2
 
0.8%
35.11501 2
 
0.8%
35.11853012 2
 
0.8%
35.13538968 2
 
0.8%
35.11995376 2
 
0.8%
35.12834309 2
 
0.8%
35.11755084 2
 
0.8%
35.14587897 2
 
0.8%
35.13325 1
 
0.4%
Other values (234) 234
92.1%
ValueCountFrequency (%)
35.11262 1
0.4%
35.11334 1
0.4%
35.11354 1
0.4%
35.11394 1
0.4%
35.11449 2
0.8%
35.11476 1
0.4%
35.11501 2
0.8%
35.11513 1
0.4%
35.11555 1
0.4%
35.11578 1
0.4%
ValueCountFrequency (%)
35.14591816 1
 
0.4%
35.14587897 2
0.8%
35.14587132 3
1.2%
35.14586282 1
 
0.4%
35.14583681 1
 
0.4%
35.14579143 1
 
0.4%
35.14562298 1
 
0.4%
35.14557059 1
 
0.4%
35.14549962 1
 
0.4%
35.14519076 1
 
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct243
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04381
Minimum129.02858
Maximum129.06342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T01:46:28.824737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.02858
5-th percentile129.03306
Q1129.03778
median129.04256
Q3129.04917
95-th percentile129.05736
Maximum129.06342
Range0.0348381
Interquartile range (IQR)0.011387525

Descriptive statistics

Standard deviation0.0078635444
Coefficient of variation (CV)6.0937015 × 10-5
Kurtosis-0.42364758
Mean129.04381
Median Absolute Deviation (MAD)0.0060484
Skewness0.47196892
Sum32777.127
Variance6.183533 × 10-5
MonotonicityNot monotonic
2023-12-11T01:46:29.075524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0438897 3
 
1.2%
129.0409699 2
 
0.8%
129.0411157 2
 
0.8%
129.0321671 2
 
0.8%
129.03604 2
 
0.8%
129.0364527 2
 
0.8%
129.033899 2
 
0.8%
129.0634191 2
 
0.8%
129.0438851 2
 
0.8%
129.04799 2
 
0.8%
Other values (233) 233
91.7%
ValueCountFrequency (%)
129.028581 1
0.4%
129.028948 1
0.4%
129.029684 1
0.4%
129.029884 1
0.4%
129.030415 1
0.4%
129.030633 1
0.4%
129.0321671 2
0.8%
129.032385 1
0.4%
129.032545 1
0.4%
129.0326862 1
0.4%
ValueCountFrequency (%)
129.0634191 2
0.8%
129.0631289 1
0.4%
129.0630632 1
0.4%
129.0627283 1
0.4%
129.0624076 1
0.4%
129.0621098 1
0.4%
129.0597795 1
0.4%
129.059727 1
0.4%
129.0596708 1
0.4%
129.0596603 1
0.4%

Interactions

2023-12-11T01:46:22.257527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:22.012207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:22.363433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:22.133924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:46:29.259581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명수량관리기관(부서)연락처위도경도
행정동명1.0000.0001.0001.0000.8960.807
수량0.0001.0000.0000.0000.3580.052
관리기관(부서)1.0000.0001.0001.0000.8960.807
연락처1.0000.0001.0001.0000.8960.807
위도0.8960.3580.8960.8961.0000.748
경도0.8070.0520.8070.8070.7481.000
2023-12-11T01:46:29.414643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량행정동명관리기관(부서)연락처
수량1.0000.0000.0000.000
행정동명0.0001.0001.0001.000
관리기관(부서)0.0001.0001.0001.000
연락처0.0001.0001.0001.000
2023-12-11T01:46:29.563456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도행정동명수량관리기관(부서)연락처
위도1.0000.7270.6630.2270.6630.663
경도0.7271.0000.5100.0310.5100.510
행정동명0.6630.5101.0000.0001.0001.000
수량0.2270.0310.0001.0000.0000.000
관리기관(부서)0.6630.5101.0000.0001.0001.000
연락처0.6630.5101.0000.0001.0001.000

Missing values

2023-12-11T01:46:22.792885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:46:22.964181image/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

행정동명설치장소소재지도로명주소소재지지번주소수량관리기관(부서)연락처구군명데이터기준일자위도경도
0초량1동배룡선빌리지 밑 사거리(초량상로 27-1)부산광역시 동구 초량상로 27-1부산광역시 동구 초량동 1066-21초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11449129.03603
1초량1동위드빌라와 오드리햅번 미용실사이(초량중로17번길 13)부산광역시 동구 초량중로17번길 13부산광역시 동구 초량동 1057-571초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11394129.03598
2초량1동배룡선빌리지위 파크빌인근(초량상로25번길 14)부산광역시 동구 초량상로25번길 14부산광역시 동구 초량동 1065-41초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11476129.03537
3초량1동초강경로당 밑 계단아래(초량상로37번길 11)부산광역시 동구 초량상로37번길 11부산광역시 동구 초량동 1069-561초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11555129.03599
4초량1동부영슈퍼 옆 (초량동 1069-1)부산광역시 동구 초량동 1069-1부산광역시 동구 초량동 1069-11초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11513129.03646
5초량1동초강경로당 밑 계단 앞 (초량상로37번길 17)부산광역시 동구 초량상로37번길 17부산광역시 동구 초량동 994-3741초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11584129.03562
6초량1동초량교회 아래 (초량상로 56)부산광역시 동구 초량상로 56부산광역시 동구 초량동 1005-31초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11685129.03733
7초량1동방범초소 앞(초량상로35번길 28)부산광역시 동구 초량상로35번길 28부산광역시 동구 초량동 11331초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11578129.03529
8초량1동어린이집 맞은편(영초윗길 8-1)부산광역시 동구 영초윗길 8-1부산광역시 동구 초량동 994-741초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11608129.03477
9초량1동초원아파트 뒤편, 산복도로(초량동 889-2)부산광역시 동구 초량동 889-2부산광역시 동구 초량동 889-21초량1동 행정복지센터051-440-6102부산광역시 동구2022-05-2535.11592129.03366
행정동명설치장소소재지도로명주소소재지지번주소수량관리기관(부서)연락처구군명데이터기준일자위도경도
244범일5동성남로 61-1 앞(성남로 61-1)부산광역시 동구 성남로 61-1부산광역시 동구 좌천동 68-5961범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.131225129.055787
245범일5동범일5동주민센터 옆 화단(성남로47번길 13)부산광역시 동구 성남로47번길 13부산광역시 동구 좌천동 68-541범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.130662129.05386
246범일5동제자로교회 옆(성남일로 12)부산광역시 동구 성남일로 12부산광역시 동구 좌천동 68-3021범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.132208129.056119
247범일5동범일5동주민센터 옆(성남로47번길 13)부산광역시 동구 성남로47번길 13부산광역시 동구 좌천동 68-541범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.131316129.059727
248범일5동과선교 엘리베이터 옆(성남일로 22)부산광역시 동구 성남일로 22부산광역시 동구 좌천동 35-51범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.132981129.055309
249범일5동성남로 73 앞(성남로 73)부산광역시 동구 성남로 73부산광역시 동구 좌천동 68-5551범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.131313129.056873
250범일5동수남경로당 앞(충장대로289번길 17)부산광역시 동구 충장대로289번길 17부산광역시 동구 좌천동 1140-161범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.127007129.05199
251범일5동수정터널 고가도로 육교아래(성남로47번길 2-2)부산광역시 동구 성남로47번길 2-2부산광역시 동구 좌천동 68-8181범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.131313129.054066
252범일5동두산위브범일뉴타운 101동 입구(성남일로 5)부산광역시 동구 성남일로 5부산광역시 동구 좌천동 11681범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.131646129.055576
253범일5동범일5동새마을금고 앞(성남일로 5)부산광역시 동구 성남일로 5부산광역시 동구 좌천동 11681범일5동 행정복지센터051-440-6362부산광역시 동구2022-05-2535.132073129.055535