Overview

Dataset statistics

Number of variables12
Number of observations128
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory101.0 B

Variable types

Categorical4
Numeric4
Text3
DateTime1

Dataset

Description부산광역시 북구 관내에 존재하는 제설함 현황으로 행정동명, 위치, 개수, 관리부서 등의 데이터를 제공하고 있습니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15006480/fileData.do

Alerts

관리기관(부서) has constant value ""Constant
연락처 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리번호 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 행정동명High correlation
경도 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
행정동명 is highly overall correlated with 관리번호 and 2 other fieldsHigh correlation
관리번호 has unique valuesUnique
설치장소 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:05:38.933536
Analysis finished2023-12-12 18:05:41.756504
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
금곡동
18 
덕천2동
18 
구포3동
17 
만덕2동
12 
덕천3동
11 
Other values (8)
52 

Length

Max length4
Median length4
Mean length3.859375
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구포1동
2nd row구포1동
3rd row구포1동
4th row구포1동
5th row구포1동

Common Values

ValueCountFrequency (%)
금곡동 18
14.1%
덕천2동 18
14.1%
구포3동 17
13.3%
만덕2동 12
9.4%
덕천3동 11
8.6%
만덕3동 11
8.6%
구포2동 10
7.8%
구포1동 7
 
5.5%
화명1동 7
 
5.5%
화명2동 7
 
5.5%
Other values (3) 10
7.8%

Length

2023-12-13T03:05:41.847009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금곡동 18
14.1%
덕천2동 18
14.1%
구포3동 17
13.3%
만덕2동 12
9.4%
덕천3동 11
8.6%
만덕3동 11
8.6%
구포2동 10
7.8%
구포1동 7
 
5.5%
화명1동 7
 
5.5%
화명2동 7
 
5.5%
Other values (3) 10
7.8%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T03:05:41.990745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2023-12-13T03:05:42.186821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

설치장소
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:05:42.518755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length35
Mean length17.390625
Min length3

Characters and Unicode

Total characters2226
Distinct characters307
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)100.0%

Sample

1st row하나요양원, 반도유보라 앞
2nd row고려당제과 주변 럭키원룸 앞
3rd row공임나라 옆
4th row청유탕 주변 성림빌라, 동진빌라 앞
5th row당숲 근처 금강빌라
ValueCountFrequency (%)
앞 29
 
6.4%
입구 15
 
3.3%
주변 14
 
3.1%
옆 14
 
3.1%
정문 13
 
2.9%
건너편 7
 
1.6%
후문 6
 
1.3%
내리막길 5
 
1.1%
4
 
0.9%
인근 3
 
0.7%
Other values (316) 341
75.6%
2023-12-13T03:05:43.019664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
14.6%
주 47
 
2.1%
트 45
 
2.0%
아 42
 
1.9%
파 39
 
1.8%
구 38
 
1.7%
앞 34
 
1.5%
정 34
 
1.5%
덕 29
 
1.3%
문 28
 
1.3%
Other values (297) 1566
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1758
79.0%
Space Separator 324
 
14.6%
Decimal Number 98
 
4.4%
Other Punctuation 12
 
0.5%
Close Punctuation 8
 
0.4%
Math Symbol 8
 
0.4%
Open Punctuation 7
 
0.3%
Uppercase Letter 6
 
0.3%
Dash Punctuation 3
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
2.7%
트 45
 
2.6%
아 42
 
2.4%
파 39
 
2.2%
구 38
 
2.2%
앞 34
 
1.9%
정 34
 
1.9%
덕 29
 
1.6%
문 28
 
1.6%
교 28
 
1.6%
Other values (275) 1394
79.3%
Decimal Number
ValueCountFrequency (%)
2 25
25.5%
1 23
23.5%
3 12
12.2%
0 8
 
8.2%
5 7
 
7.1%
4 5
 
5.1%
9 5
 
5.1%
8 5
 
5.1%
7 4
 
4.1%
6 4
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
50.0%
S 2
33.3%
O 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
@ 7
58.3%
, 5
41.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1758
79.0%
Common 460
 
20.7%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
2.7%
트 45
 
2.6%
아 42
 
2.4%
파 39
 
2.2%
구 38
 
2.2%
앞 34
 
1.9%
정 34
 
1.9%
덕 29
 
1.6%
문 28
 
1.6%
교 28
 
1.6%
Other values (275) 1394
79.3%
Common
ValueCountFrequency (%)
324
70.4%
2 25
 
5.4%
1 23
 
5.0%
3 12
 
2.6%
) 8
 
1.7%
~ 8
 
1.7%
0 8
 
1.7%
5 7
 
1.5%
( 7
 
1.5%
@ 7
 
1.5%
Other values (7) 31
 
6.7%
Latin
ValueCountFrequency (%)
K 3
37.5%
S 2
25.0%
e 1
 
12.5%
O 1
 
12.5%
a 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1758
79.0%
ASCII 468
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
69.2%
2 25
 
5.3%
1 23
 
4.9%
3 12
 
2.6%
) 8
 
1.7%
~ 8
 
1.7%
0 8
 
1.7%
5 7
 
1.5%
( 7
 
1.5%
@ 7
 
1.5%
Other values (12) 39
 
8.3%
Hangul
ValueCountFrequency (%)
주 47
 
2.7%
트 45
 
2.6%
아 42
 
2.4%
파 39
 
2.2%
구 38
 
2.2%
앞 34
 
1.9%
정 34
 
1.9%
덕 29
 
1.6%
문 28
 
1.6%
교 28
 
1.6%
Other values (275) 1394
79.3%

소재지도로명주소
Text

Distinct126
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:05:43.382353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length32
Mean length19.585938
Min length10

Characters and Unicode

Total characters2507
Distinct characters63
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

Unique124 ?
Unique (%)96.9%

Sample

1st row부산광역시 북구 백양대로 1131
2nd row부산광역시 북구 팽나무로 14
3rd row부산광역시 북구 덕천로 26
4th row부산광역시 북구 덕천로28번길 45
5th row팽나무로30번길 9
ValueCountFrequency (%)
부산광역시 128
25.4%
북구 128
25.4%
덕천로 8
 
1.6%
39 7
 
1.4%
효열로 6
 
1.2%
금곡대로 4
 
0.8%
42 3
 
0.6%
백양대로1016번길 3
 
0.6%
덕천로234번길 3
 
0.6%
시랑로 3
 
0.6%
Other values (179) 210
41.7%
2023-12-13T03:05:43.843916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
391
15.6%
시 140
 
5.6%
구 132
 
5.3%
산 131
 
5.2%
북 130
 
5.2%
로 130
 
5.2%
부 128
 
5.1%
역 128
 
5.1%
광 128
 
5.1%
1 110
 
4.4%
Other values (53) 959
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1501
59.9%
Decimal Number 570
 
22.7%
Space Separator 391
 
15.6%
Other Punctuation 33
 
1.3%
Dash Punctuation 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 140
9.3%
구 132
8.8%
산 131
8.7%
북 130
8.7%
로 130
8.7%
부 128
8.5%
역 128
8.5%
광 128
8.5%
길 76
 
5.1%
번 75
 
5.0%
Other values (39) 303
20.2%
Decimal Number
ValueCountFrequency (%)
1 110
19.3%
2 83
14.6%
3 70
12.3%
4 54
9.5%
7 50
8.8%
8 48
8.4%
5 41
 
7.2%
6 40
 
7.0%
9 38
 
6.7%
0 36
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 32
97.0%
. 1
 
3.0%
Space Separator
ValueCountFrequency (%)
391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1501
59.9%
Common 1006
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 140
9.3%
구 132
8.8%
산 131
8.7%
북 130
8.7%
로 130
8.7%
부 128
8.5%
역 128
8.5%
광 128
8.5%
길 76
 
5.1%
번 75
 
5.0%
Other values (39) 303
20.2%
Common
ValueCountFrequency (%)
391
38.9%
1 110
 
10.9%
2 83
 
8.3%
3 70
 
7.0%
4 54
 
5.4%
7 50
 
5.0%
8 48
 
4.8%
5 41
 
4.1%
6 40
 
4.0%
9 38
 
3.8%
Other values (4) 81
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1501
59.9%
ASCII 1006
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
391
38.9%
1 110
 
10.9%
2 83
 
8.3%
3 70
 
7.0%
4 54
 
5.4%
7 50
 
5.0%
8 48
 
4.8%
5 41
 
4.1%
6 40
 
4.0%
9 38
 
3.8%
Other values (4) 81
 
8.1%
Hangul
ValueCountFrequency (%)
시 140
9.3%
구 132
8.8%
산 131
8.7%
북 130
8.7%
로 130
8.7%
부 128
8.5%
역 128
8.5%
광 128
8.5%
길 76
 
5.1%
번 75
 
5.0%
Other values (39) 303
20.2%

소재지지번주소
Text

Distinct124
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:05:44.154469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.078125
Min length14

Characters and Unicode

Total characters2314
Distinct characters28
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

Unique121 ?
Unique (%)94.5%

Sample

1st row부산광역시 북구 구포동 714-7
2nd row부산광역시 북구 구포동 1208-2
3rd row부산광역시 북구 구포동 119-4
4th row부산광역시 북구 구포동 1198-1
5th row부산광역시 북구 구포동 1206-60
ValueCountFrequency (%)
부산광역시 128
25.0%
북구 127
24.9%
구포동 36
 
7.0%
덕천동 31
 
6.1%
만덕동 26
 
5.1%
금곡동 18
 
3.5%
화명동 16
 
3.1%
97-11 3
 
0.6%
773-14 2
 
0.4%
56-1 2
 
0.4%
Other values (122) 122
23.9%
2023-12-13T03:05:44.638965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
16.6%
구 164
 
7.1%
산 129
 
5.6%
부 128
 
5.5%
동 128
 
5.5%
광 128
 
5.5%
역 128
 
5.5%
시 128
 
5.5%
북 128
 
5.5%
1 126
 
5.4%
Other values (18) 744
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1281
55.4%
Decimal Number 548
23.7%
Space Separator 383
 
16.6%
Dash Punctuation 102
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 164
12.8%
산 129
10.1%
부 128
10.0%
동 128
10.0%
광 128
10.0%
역 128
10.0%
시 128
10.0%
북 128
10.0%
덕 58
 
4.5%
포 36
 
2.8%
Other values (6) 126
9.8%
Decimal Number
ValueCountFrequency (%)
1 126
23.0%
2 75
13.7%
7 54
9.9%
3 53
9.7%
9 50
 
9.1%
4 42
 
7.7%
8 40
 
7.3%
0 38
 
6.9%
5 36
 
6.6%
6 34
 
6.2%
Space Separator
ValueCountFrequency (%)
383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1281
55.4%
Common 1033
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 164
12.8%
산 129
10.1%
부 128
10.0%
동 128
10.0%
광 128
10.0%
역 128
10.0%
시 128
10.0%
북 128
10.0%
덕 58
 
4.5%
포 36
 
2.8%
Other values (6) 126
9.8%
Common
ValueCountFrequency (%)
383
37.1%
1 126
 
12.2%
- 102
 
9.9%
2 75
 
7.3%
7 54
 
5.2%
3 53
 
5.1%
9 50
 
4.8%
4 42
 
4.1%
8 40
 
3.9%
0 38
 
3.7%
Other values (2) 70
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1281
55.4%
ASCII 1033
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
37.1%
1 126
 
12.2%
- 102
 
9.9%
2 75
 
7.3%
7 54
 
5.2%
3 53
 
5.1%
9 50
 
4.8%
4 42
 
4.1%
8 40
 
3.9%
0 38
 
3.7%
Other values (2) 70
 
6.8%
Hangul
ValueCountFrequency (%)
구 164
12.8%
산 129
10.1%
부 128
10.0%
동 128
10.0%
광 128
10.0%
역 128
10.0%
시 128
10.0%
북 128
10.0%
덕 58
 
4.5%
포 36
 
2.8%
Other values (6) 126
9.8%

수량
Real number (ℝ)

Distinct11
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.359375
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T03:05:44.772392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum15
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5953756
Coefficient of variation (CV)1.1000267
Kurtosis11.012581
Mean2.359375
Median Absolute Deviation (MAD)0
Skewness3.17343
Sum302
Variance6.7359744
MonotonicityNot monotonic
2023-12-13T03:05:44.892371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 67
52.3%
2 30
23.4%
3 11
 
8.6%
4 6
 
4.7%
6 4
 
3.1%
5 4
 
3.1%
14 2
 
1.6%
10 1
 
0.8%
9 1
 
0.8%
12 1
 
0.8%
ValueCountFrequency (%)
1 67
52.3%
2 30
23.4%
3 11
 
8.6%
4 6
 
4.7%
5 4
 
3.1%
6 4
 
3.1%
9 1
 
0.8%
10 1
 
0.8%
12 1
 
0.8%
14 2
 
1.6%
ValueCountFrequency (%)
15 1
 
0.8%
14 2
 
1.6%
12 1
 
0.8%
10 1
 
0.8%
9 1
 
0.8%
6 4
 
3.1%
5 4
 
3.1%
4 6
 
4.7%
3 11
 
8.6%
2 30
23.4%

관리기관(부서)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
부산광역시 북구 도시관리과
128 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 북구 도시관리과
2nd row부산광역시 북구 도시관리과
3rd row부산광역시 북구 도시관리과
4th row부산광역시 북구 도시관리과
5th row부산광역시 북구 도시관리과

Common Values

ValueCountFrequency (%)
부산광역시 북구 도시관리과 128
100.0%

Length

2023-12-13T03:05:45.020872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:45.130399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 128
33.3%
북구 128
33.3%
도시관리과 128
33.3%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
051-309-4712
128 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-309-4712
2nd row051-309-4712
3rd row051-309-4712
4th row051-309-4712
5th row051-309-4712

Common Values

ValueCountFrequency (%)
051-309-4712 128
100.0%

Length

2023-12-13T03:05:45.248436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:45.352779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-309-4712 128
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
부산광역시 북구
128 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 북구 128
100.0%

Length

2023-12-13T03:05:45.522952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:45.633595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 128
50.0%
북구 128
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-01-27 00:00:00
Maximum2023-01-27 00:00:00
2023-12-13T03:05:45.723669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:45.849652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct127
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.218128
Minimum35.193893
Maximum35.26686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T03:05:45.997260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.193893
5-th percentile35.195946
Q135.205112
median35.211165
Q335.225388
95-th percentile35.263518
Maximum35.26686
Range0.072967
Interquartile range (IQR)0.02027575

Descriptive statistics

Standard deviation0.020613993
Coefficient of variation (CV)0.00058532338
Kurtosis0.19625116
Mean35.218128
Median Absolute Deviation (MAD)0.00635
Skewness1.1796996
Sum4507.9203
Variance0.00042493673
MonotonicityNot monotonic
2023-12-13T03:05:46.465558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.20484 2
 
1.6%
35.20479 1
 
0.8%
35.212002 1
 
0.8%
35.208301 1
 
0.8%
35.209142 1
 
0.8%
35.208221 1
 
0.8%
35.20516 1
 
0.8%
35.208666 1
 
0.8%
35.208386 1
 
0.8%
35.208668 1
 
0.8%
Other values (117) 117
91.4%
ValueCountFrequency (%)
35.193893 1
0.8%
35.19458 1
0.8%
35.19492 1
0.8%
35.19495 1
0.8%
35.19498 1
0.8%
35.19514 1
0.8%
35.19589 1
0.8%
35.19605 1
0.8%
35.19665 1
0.8%
35.19686 1
0.8%
ValueCountFrequency (%)
35.26686 1
0.8%
35.266551 1
0.8%
35.265606 1
0.8%
35.2656 1
0.8%
35.26529 1
0.8%
35.264246 1
0.8%
35.26377 1
0.8%
35.263049 1
0.8%
35.26217 1
0.8%
35.261905 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.01681
Minimum128.99248
Maximum129.04515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T03:05:46.636260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.99248
5-th percentile128.99704
Q1129.00885
median129.01562
Q3129.02222
95-th percentile129.03971
Maximum129.04515
Range0.05267
Interquartile range (IQR)0.013363

Descriptive statistics

Standard deviation0.011710281
Coefficient of variation (CV)9.0765547 × 10-5
Kurtosis-0.032419711
Mean129.01681
Median Absolute Deviation (MAD)0.006802
Skewness0.38336173
Sum16514.151
Variance0.00013713068
MonotonicityNot monotonic
2023-12-13T03:05:46.816493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.00197 1
 
0.8%
129.017935 1
 
0.8%
129.035932 1
 
0.8%
129.044849 1
 
0.8%
129.042122 1
 
0.8%
129.041462 1
 
0.8%
129.03842 1
 
0.8%
129.037453 1
 
0.8%
129.034147 1
 
0.8%
129.025302 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
128.99248 1
0.8%
128.99278 1
0.8%
128.99368 1
0.8%
128.99471 1
0.8%
128.9952 1
0.8%
128.99668 1
0.8%
128.99678 1
0.8%
128.99753 1
0.8%
128.99921 1
0.8%
129.0007 1
0.8%
ValueCountFrequency (%)
129.04515 1
0.8%
129.044849 1
0.8%
129.042122 1
0.8%
129.041462 1
0.8%
129.041212 1
0.8%
129.04023 1
0.8%
129.039832 1
0.8%
129.03948 1
0.8%
129.03842 1
0.8%
129.037453 1
0.8%

Interactions

2023-12-13T03:05:40.921848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:39.410549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:39.877344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:40.416949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:41.045536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:39.540137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:39.978597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:40.540023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:41.170684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:39.658829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:40.077855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:40.657272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:41.288359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:39.775793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:40.245825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:05:40.793647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:05:46.940231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명관리번호수량위도경도
행정동명1.0000.9330.2490.8960.810
관리번호0.9331.0000.0250.9100.827
수량0.2490.0251.0000.0000.490
위도0.8960.9100.0001.0000.645
경도0.8100.8270.4900.6451.000
2023-12-13T03:05:47.053976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호수량위도경도행정동명
관리번호1.000-0.0210.4760.6420.747
수량-0.0211.000-0.0000.1520.109
위도0.476-0.0001.0000.4040.653
경도0.6420.1520.4041.0000.504
행정동명0.7470.1090.6530.5041.000

Missing values

2023-12-13T03:05:41.483416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:05:41.681550image/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

행정동명관리번호설치장소소재지도로명주소소재지지번주소수량관리기관(부서)연락처구군명데이터기준일자위도경도
0구포1동1하나요양원, 반도유보라 앞부산광역시 북구 백양대로 1131부산광역시 북구 구포동 714-72부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20479129.00197
1구포1동2고려당제과 주변 럭키원룸 앞부산광역시 북구 팽나무로 14부산광역시 북구 구포동 1208-21부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20484129.00581
2구포1동3공임나라 옆부산광역시 북구 덕천로 26부산광역시 북구 구포동 119-41부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20786129.007812
3구포1동4청유탕 주변 성림빌라, 동진빌라 앞부산광역시 북구 덕천로28번길 45부산광역시 북구 구포동 1198-12부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.205988129.008896
4구포1동5당숲 근처 금강빌라팽나무로30번길 9부산광역시 북구 구포동 1206-601부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20497129.00741
5구포1동6양덕초 옆 어린이공원부산광역시 북구 덕천로38번길 47부산광역시 북구 구포동 12001부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20632129.01025
6구포1동7보람빌라, 헤어카페, 삼경장미아파트 앞부산광역시 북구 시랑로21번길 20, 27, 50, 68, 110부산광역시 북구 구포동 689-226부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20379129.00518
7구포2동8구포대교부산광역시 북구 낙동대로1739번길 7부산광역시 북구 구포동 1157-16부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.20495128.99248
8구포2동9유림아파트 굴다리 입구 ~ 구포대교 사거리부산광역시 북구 낙동북로 736부산광역시 북구 구포동 129310부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.19859129.0007
9구포2동10에이스타운주변 구명역 1번 2번 출구부산광역시 북구 백양대로1096부산광역시 북구 구포동 984-32부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.2023128.99921
행정동명관리번호설치장소소재지도로명주소소재지지번주소수량관리기관(부서)연락처구군명데이터기준일자위도경도
118화명2동119대천리초등학교주변 정문 그린숲속@사거리부산광역시 북구 산성로87-10부산광역시 북구 화명동 5072부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.24165129.02251
119화명2동120화명2동 코오롱아파트 앞 탑마트부산광역시 북구 양달로80-13부산광역시 북구 화명동 3101부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.24357129.02212
120화명2동121화명2동 벽산아파트 앞 정문 후문부산광역시 북구 금곡대로 408부산광역시 북구 화명동 1882부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.24432129.01396
121화명2동122푸른탁구교실 앞 양달로에서 대천천으로 이어지는 경사로부산광역시 북구 양달로40부산광역시 북구 화명동 263-41부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.2429129.01788
122화명2동123산성로부산광역시 북구 산성로부산광역시 북구 화명동 17914부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.24164129.02467
123화명2동124금화횟집 맞은 편부산광역시 북구 산성로48번길 1부산광역시 북구 화명동 373-11부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.242272129.018583
124화명2동125부산북구보건소 내부산광역시 북구 금곡대로 348부산광역시 북구 화명동 1531-41부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.239333129.014749
125화명3동126구민운동장 입구 명진중학교 뒤부산광역시 북구 낙동대로1739번길부산광역시 북구 화명동 22581부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.24014129.01012
126화명3동127수정마을아파트 옆 본가 수정역엘리베이트앞부산광역시 북구 금곡대로 121부산광역시 북구 덕천동 590-113부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.22266129.00873
127화명3동128수정강변타운 정문 입구 쪽부산광역시 북구 학사로 17번길부산광역시 북구 화명동 23221부산광역시 북구 도시관리과051-309-4712부산광역시 북구2023-01-2735.22305129.00695