Overview

Dataset statistics

Number of variables16
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory137.8 B

Variable types

Categorical9
Text3
Numeric3
DateTime1

Dataset

Description부산광역시_금정구_현수막지정게시대현황_20201012
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025816

Alerts

부착제한일 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구군명 is highly overall correlated with 경도 and 6 other fieldsHigh correlation
민원수수료 is highly overall correlated with 관리기관명 and 4 other fieldsHigh correlation
점용료(1일) is highly overall correlated with 관리기관명 and 4 other fieldsHigh correlation
관리기관명 is highly overall correlated with 경도 and 6 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 경도 and 6 other fieldsHigh correlation
부착면수 is highly overall correlated with 설치방식 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 행정동High correlation
경도 is highly overall correlated with 관리기관명 and 3 other fieldsHigh correlation
행정동 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
설치방식 is highly overall correlated with 부착면수 and 2 other fieldsHigh correlation
규격 is highly overall correlated with 부착면수 and 6 other fieldsHigh correlation
설치방식 is highly imbalanced (57.8%)Imbalance

Reproduction

Analysis started2023-12-10 16:41:48.989611
Analysis finished2023-12-10 16:41:51.429811
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
부산광역시 금정구청
18 
주식회사 삼원기업
17 

Length

Max length10
Median length10
Mean length9.5142857
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주식회사 삼원기업
2nd row주식회사 삼원기업
3rd row주식회사 삼원기업
4th row주식회사 삼원기업
5th row주식회사 삼원기업

Common Values

ValueCountFrequency (%)
부산광역시 금정구청 18
51.4%
주식회사 삼원기업 17
48.6%

Length

2023-12-11T01:41:51.512151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:51.634714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 18
25.7%
금정구청 18
25.7%
주식회사 17
24.3%
삼원기업 17
24.3%

행정동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
구서1동
4 
노포동
4 
서1동
3 
부곡4동
3 
남산동
3 
Other values (9)
18 

Length

Max length5
Median length4
Mean length3.5714286
Min length3

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row서1동
2nd row부곡4동
3rd row구서1동
4th row구서2동
5th row남산동

Common Values

ValueCountFrequency (%)
구서1동 4
11.4%
노포동 4
11.4%
서1동 3
8.6%
부곡4동 3
8.6%
남산동 3
8.6%
장전동 3
8.6%
장전1동 3
8.6%
구서2동 2
 
5.7%
금사동 2
 
5.7%
구서동 2
 
5.7%
Other values (4) 6
17.1%

Length

2023-12-11T01:41:51.856670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구서1동 4
11.4%
노포동 4
11.4%
서1동 3
8.6%
부곡4동 3
8.6%
남산동 3
8.6%
장전동 3
8.6%
장전1동 3
8.6%
구서2동 2
 
5.7%
금사동 2
 
5.7%
구서동 2
 
5.7%
Other values (4) 6
17.1%

위치
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:41:52.133240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length9.9142857
Min length4

Characters and Unicode

Total characters347
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st row삼화여객 담 (공영주차장 옆)
2nd row동현중학교
3rd row구서지하철역 배비장보쌈 뒤
4th row어린이놀이터 앞
5th row침례병원 육교 옆
ValueCountFrequency (%)
옆 5
 
8.3%
온천장지하철 2
 
3.3%
앞 2
 
3.3%
구서지하철역 2
 
3.3%
공영주차장 2
 
3.3%
삼거리 2
 
3.3%
뒤 2
 
3.3%
기지창 2
 
3.3%
금강교차로 1
 
1.7%
금정소방서 1
 
1.7%
Other values (39) 39
65.0%
2023-12-11T01:41:52.569942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
7.2%
장 13
 
3.7%
구 12
 
3.5%
지 11
 
3.2%
동 11
 
3.2%
차 10
 
2.9%
역 10
 
2.9%
교 8
 
2.3%
앞 8
 
2.3%
서 7
 
2.0%
Other values (103) 232
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
87.6%
Space Separator 25
 
7.2%
Close Punctuation 5
 
1.4%
Open Punctuation 5
 
1.4%
Decimal Number 5
 
1.4%
Lowercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 13
 
4.3%
구 12
 
3.9%
지 11
 
3.6%
동 11
 
3.6%
차 10
 
3.3%
역 10
 
3.3%
교 8
 
2.6%
앞 8
 
2.6%
서 7
 
2.3%
하 7
 
2.3%
Other values (95) 207
68.1%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
1 2
40.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
87.6%
Common 41
 
11.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 13
 
4.3%
구 12
 
3.9%
지 11
 
3.6%
동 11
 
3.6%
차 10
 
3.3%
역 10
 
3.3%
교 8
 
2.6%
앞 8
 
2.6%
서 7
 
2.3%
하 7
 
2.3%
Other values (95) 207
68.1%
Common
ValueCountFrequency (%)
25
61.0%
) 5
 
12.2%
( 5
 
12.2%
3 3
 
7.3%
1 2
 
4.9%
, 1
 
2.4%
Latin
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
87.6%
ASCII 43
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
58.1%
) 5
 
11.6%
( 5
 
11.6%
3 3
 
7.0%
1 2
 
4.7%
c 1
 
2.3%
n 1
 
2.3%
, 1
 
2.3%
Hangul
ValueCountFrequency (%)
장 13
 
4.3%
구 12
 
3.9%
지 11
 
3.6%
동 11
 
3.6%
차 10
 
3.3%
역 10
 
3.3%
교 8
 
2.6%
앞 8
 
2.6%
서 7
 
2.3%
하 7
 
2.3%
Other values (95) 207
68.1%

소재지도로명주소
Text

Distinct23
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:41:52.789006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.885714
Min length10

Characters and Unicode

Total characters451
Distinct characters49
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

Unique18 ?
Unique (%)51.4%

Sample

1st row부산 금정구 동현로
2nd row부산 금정구 서동로
3rd row부산 금정구 금정로 237번길
4th row부산 금정구 금강로
5th row부산 금정구 금단로
ValueCountFrequency (%)
금정구 34
30.4%
부산 33
29.5%
중앙대로 8
 
7.1%
장전온천천로 3
 
2.7%
144 3
 
2.7%
서동로 2
 
1.8%
장전온천천로144 2
 
1.8%
금강로 2
 
1.8%
237번길 2
 
1.8%
금정로 2
 
1.8%
Other values (21) 21
18.8%
2023-12-11T01:41:53.151521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
17.1%
금 41
 
9.1%
부 37
 
8.2%
정 37
 
8.2%
구 35
 
7.8%
로 35
 
7.8%
산 35
 
7.8%
4 13
 
2.9%
천 13
 
2.9%
1 12
 
2.7%
Other values (39) 116
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
71.2%
Space Separator 77
 
17.1%
Decimal Number 52
 
11.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 41
12.8%
부 37
11.5%
정 37
11.5%
구 35
10.9%
로 35
10.9%
산 35
10.9%
천 13
 
4.0%
대 12
 
3.7%
중 11
 
3.4%
앙 11
 
3.4%
Other values (27) 54
16.8%
Decimal Number
ValueCountFrequency (%)
4 13
25.0%
1 12
23.1%
2 6
11.5%
7 6
11.5%
3 5
 
9.6%
9 3
 
5.8%
6 3
 
5.8%
8 2
 
3.8%
5 1
 
1.9%
0 1
 
1.9%
Space Separator
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
71.2%
Common 130
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 41
12.8%
부 37
11.5%
정 37
11.5%
구 35
10.9%
로 35
10.9%
산 35
10.9%
천 13
 
4.0%
대 12
 
3.7%
중 11
 
3.4%
앙 11
 
3.4%
Other values (27) 54
16.8%
Common
ValueCountFrequency (%)
77
59.2%
4 13
 
10.0%
1 12
 
9.2%
2 6
 
4.6%
7 6
 
4.6%
3 5
 
3.8%
9 3
 
2.3%
6 3
 
2.3%
8 2
 
1.5%
5 1
 
0.8%
Other values (2) 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
71.2%
ASCII 130
28.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
59.2%
4 13
 
10.0%
1 12
 
9.2%
2 6
 
4.6%
7 6
 
4.6%
3 5
 
3.8%
9 3
 
2.3%
6 3
 
2.3%
8 2
 
1.5%
5 1
 
0.8%
Other values (2) 2
 
1.5%
Hangul
ValueCountFrequency (%)
금 41
12.8%
부 37
11.5%
정 37
11.5%
구 35
10.9%
로 35
10.9%
산 35
10.9%
천 13
 
4.0%
대 12
 
3.7%
중 11
 
3.4%
앙 11
 
3.4%
Other values (27) 54
16.8%

소재지지번주소
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-11T01:41:53.417295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length14.771429
Min length9

Characters and Unicode

Total characters517
Distinct characters30
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

Unique27 ?
Unique (%)77.1%

Sample

1st row부산 금정구 서동 산 45-16
2nd row부산 금정구 부곡동 산 136-6
3rd row부산 금정구 구서동 475
4th row부산 금정구 구서동 637-1
5th row부산 금정구 남산동 13
ValueCountFrequency (%)
부산 35
27.1%
금정구 33
25.6%
구서동 5
 
3.9%
노포동 4
 
3.1%
장전동 4
 
3.1%
부곡동 4
 
3.1%
산 3
 
2.3%
13 2
 
1.6%
남산동 2
 
1.6%
서동 2
 
1.6%
Other values (31) 35
27.1%
2023-12-11T01:41:53.741102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
18.2%
구 42
 
8.1%
산 42
 
8.1%
부 40
 
7.7%
동 36
 
7.0%
금 34
 
6.6%
정 33
 
6.4%
1 26
 
5.0%
- 21
 
4.1%
6 17
 
3.3%
Other values (20) 132
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
53.2%
Decimal Number 127
24.6%
Space Separator 94
 
18.2%
Dash Punctuation 21
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
15.3%
산 42
15.3%
부 40
14.5%
동 36
13.1%
금 34
12.4%
정 33
12.0%
서 11
 
4.0%
전 7
 
2.5%
장 7
 
2.5%
곡 5
 
1.8%
Other values (8) 18
6.5%
Decimal Number
ValueCountFrequency (%)
1 26
20.5%
6 17
13.4%
2 16
12.6%
4 15
11.8%
5 14
11.0%
3 11
8.7%
7 9
 
7.1%
0 8
 
6.3%
9 7
 
5.5%
8 4
 
3.1%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
53.2%
Common 242
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
15.3%
산 42
15.3%
부 40
14.5%
동 36
13.1%
금 34
12.4%
정 33
12.0%
서 11
 
4.0%
전 7
 
2.5%
장 7
 
2.5%
곡 5
 
1.8%
Other values (8) 18
6.5%
Common
ValueCountFrequency (%)
94
38.8%
1 26
 
10.7%
- 21
 
8.7%
6 17
 
7.0%
2 16
 
6.6%
4 15
 
6.2%
5 14
 
5.8%
3 11
 
4.5%
7 9
 
3.7%
0 8
 
3.3%
Other values (2) 11
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
53.2%
ASCII 242
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
38.8%
1 26
 
10.7%
- 21
 
8.7%
6 17
 
7.0%
2 16
 
6.6%
4 15
 
6.2%
5 14
 
5.8%
3 11
 
4.5%
7 9
 
3.7%
0 8
 
3.3%
Other values (2) 11
 
4.5%
Hangul
ValueCountFrequency (%)
구 42
15.3%
산 42
15.3%
부 40
14.5%
동 36
13.1%
금 34
12.4%
정 33
12.0%
서 11
 
4.0%
전 7
 
2.5%
장 7
 
2.5%
곡 5
 
1.8%
Other values (8) 18
6.5%

설치방식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
탱탱이
32 
저단형
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
탱탱이 32
91.4%
저단형 3
 
8.6%

Length

2023-12-11T01:41:53.896569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:54.015608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
탱탱이 32
91.4%
저단형 3
 
8.6%

규격
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
7*0.9
10 
5.5*0.7
7 
7.0*0.7
5 
7.0*0.9
4 
6.0*.07
3 
Other values (5)
6 

Length

Max length7
Median length7
Mean length6.4
Min length5

Unique

Unique4 ?
Unique (%)11.4%

Sample

1st row7*0.9
2nd row7*0.9
3rd row7*0.9
4th row7*0.9
5th row7*0.9

Common Values

ValueCountFrequency (%)
7*0.9 10
28.6%
5.5*0.7 7
20.0%
7.0*0.7 5
14.3%
7.0*0.9 4
 
11.4%
6.0*.07 3
 
8.6%
6.0*0.9 2
 
5.7%
6.9*0.9 1
 
2.9%
5.7*07 1
 
2.9%
9.8*0.9 1
 
2.9%
7.2*0.9 1
 
2.9%

Length

2023-12-11T01:41:54.409548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:54.549873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7*0.9 10
28.6%
5.5*0.7 7
20.0%
7.0*0.7 5
14.3%
7.0*0.9 4
 
11.4%
6.0*.07 3
 
8.6%
6.0*0.9 2
 
5.7%
6.9*0.9 1
 
2.9%
5.7*07 1
 
2.9%
9.8*0.9 1
 
2.9%
7.2*0.9 1
 
2.9%

부착면수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2571429
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T01:41:54.670172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median6
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6150552
Coefficient of variation (CV)0.30721159
Kurtosis2.6090337
Mean5.2571429
Median Absolute Deviation (MAD)1
Skewness-1.7772234
Sum184
Variance2.6084034
MonotonicityNot monotonic
2023-12-11T01:41:54.777875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 17
48.6%
5 9
25.7%
7 4
 
11.4%
1 3
 
8.6%
4 1
 
2.9%
2 1
 
2.9%
ValueCountFrequency (%)
1 3
 
8.6%
2 1
 
2.9%
4 1
 
2.9%
5 9
25.7%
6 17
48.6%
7 4
 
11.4%
ValueCountFrequency (%)
7 4
 
11.4%
6 17
48.6%
5 9
25.7%
4 1
 
2.9%
2 1
 
2.9%
1 3
 
8.6%

부착제한일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
10
35 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 35
100.0%

Length

2023-12-11T01:41:54.886749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:54.982925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 35
100.0%

민원수수료
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
18 
28900
10 
21500
7 

Length

Max length5
Median length1
Mean length2.9428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28900
2nd row28900
3rd row28900
4th row28900
5th row28900

Common Values

ValueCountFrequency (%)
0 18
51.4%
28900 10
28.6%
21500 7
 
20.0%

Length

2023-12-11T01:41:55.090395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:55.204014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
51.4%
28900 10
28.6%
21500 7
 
20.0%

점용료(1일)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
18 
1890
10 
1150
7 

Length

Max length4
Median length1
Mean length2.4571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1890
2nd row1890
3rd row1890
4th row1890
5th row1890

Common Values

ValueCountFrequency (%)
0 18
51.4%
1890 10
28.6%
1150 7
 
20.0%

Length

2023-12-11T01:41:55.310494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:55.412744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
51.4%
1890 10
28.6%
1150 7
 
20.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
051-519-4625
18 
051-518-5193
17 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-518-5193
2nd row051-518-5193
3rd row051-518-5193
4th row051-518-5193
5th row051-518-5193

Common Values

ValueCountFrequency (%)
051-519-4625 18
51.4%
051-518-5193 17
48.6%

Length

2023-12-11T01:41:55.508042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:55.598273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-519-4625 18
51.4%
051-518-5193 17
48.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.244893
Minimum35.21
Maximum35.288617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T01:41:55.687056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.21
5-th percentile35.214936
Q135.23
median35.24
Q335.260334
95-th percentile35.284309
Maximum35.288617
Range0.078617
Interquartile range (IQR)0.0303345

Descriptive statistics

Standard deviation0.022799155
Coefficient of variation (CV)0.00064687826
Kurtosis-0.94142616
Mean35.244893
Median Absolute Deviation (MAD)0.02
Skewness0.37221826
Sum1233.5713
Variance0.00051980149
MonotonicityNot monotonic
2023-12-11T01:41:55.827648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.23 5
 
14.3%
35.26 3
 
8.6%
35.24 3
 
8.6%
35.21 2
 
5.7%
35.27 2
 
5.7%
35.222786 2
 
5.7%
35.218238 1
 
2.9%
35.276957 1
 
2.9%
35.28 1
 
2.9%
35.22 1
 
2.9%
Other values (14) 14
40.0%
ValueCountFrequency (%)
35.21 2
 
5.7%
35.217052 1
 
2.9%
35.218238 1
 
2.9%
35.219036 1
 
2.9%
35.22 1
 
2.9%
35.222786 2
 
5.7%
35.23 5
14.3%
35.231043 1
 
2.9%
35.239579 1
 
2.9%
35.239638 1
 
2.9%
ValueCountFrequency (%)
35.288617 1
 
2.9%
35.284411 1
 
2.9%
35.284266 1
 
2.9%
35.28 1
 
2.9%
35.276957 1
 
2.9%
35.27 2
5.7%
35.267994 1
 
2.9%
35.260669 1
 
2.9%
35.26 3
8.6%
35.25 1
 
2.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.09127
Minimum129.08
Maximum129.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-11T01:41:55.941107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.08
5-th percentile129.08
Q1129.08821
median129.09
Q3129.09272
95-th percentile129.10536
Maximum129.12
Range0.04
Interquartile range (IQR)0.0045115

Descriptive statistics

Standard deviation0.0082751588
Coefficient of variation (CV)6.4103162 × 10-5
Kurtosis6.1207347
Mean129.09127
Median Absolute Deviation (MAD)0.002328
Skewness2.057573
Sum4518.1945
Variance6.8478253 × 10-5
MonotonicityNot monotonic
2023-12-11T01:41:56.042741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
129.09 12
34.3%
129.08 4
 
11.4%
129.087622 2
 
5.7%
129.096593 1
 
2.9%
129.094651 1
 
2.9%
129.12 1
 
2.9%
129.1 1
 
2.9%
129.089397 1
 
2.9%
129.08796 1
 
2.9%
129.092831 1
 
2.9%
Other values (10) 10
28.6%
ValueCountFrequency (%)
129.08 4
 
11.4%
129.084874 1
 
2.9%
129.087622 2
 
5.7%
129.087672 1
 
2.9%
129.08796 1
 
2.9%
129.088456 1
 
2.9%
129.089397 1
 
2.9%
129.09 12
34.3%
129.090864 1
 
2.9%
129.091197 1
 
2.9%
ValueCountFrequency (%)
129.12 1
2.9%
129.117875 1
2.9%
129.1 1
2.9%
129.096753 1
2.9%
129.096593 1
2.9%
129.094704 1
2.9%
129.094651 1
2.9%
129.092861 1
2.9%
129.092831 1
2.9%
129.092608 1
2.9%

구군명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
부산광역시 금정구청
18 
부산광역시금정구청
17 

Length

Max length10
Median length10
Mean length9.5142857
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 금정구청 18
51.4%
부산광역시금정구청 17
48.6%

Length

2023-12-11T01:41:56.148559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:56.228665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 18
34.0%
금정구청 18
34.0%
부산광역시금정구청 17
32.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2020-10-12 00:00:00
Maximum2020-10-12 00:00:00
2023-12-11T01:41:56.296131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:56.362840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:41:50.696522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.048731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.384651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.799211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.141572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.495691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.900681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.250337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:41:50.591708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:41:56.424469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명행정동위치소재지도로명주소소재지지번주소설치방식규격부착면수민원수수료점용료(1일)관리기관전화번호위도경도구군명
관리기관명1.0000.8151.0000.5471.0000.1561.0000.7101.0001.0000.9960.3890.5060.996
행정동0.8151.0001.0000.9611.0000.7990.5020.5470.5270.5270.8150.8750.8350.815
위치1.0001.0001.0001.0001.0001.0000.9820.9050.0000.0001.0001.0001.0001.000
소재지도로명주소0.5470.9611.0001.0001.0001.0000.6850.6940.0000.0000.5470.7830.6540.547
소재지지번주소1.0001.0001.0001.0001.0001.0000.0000.9370.0000.0001.0000.9911.0001.000
설치방식0.1560.7991.0001.0001.0001.0001.0001.0000.1100.1100.1560.0000.0000.156
규격1.0000.5020.9820.6850.0001.0001.0000.8851.0001.0001.0000.0000.0001.000
부착면수0.7100.5470.9050.6940.9371.0000.8851.0000.7810.7810.7100.0000.0000.710
민원수수료1.0000.5270.0000.0000.0000.1101.0000.7811.0001.0001.0000.0000.4281.000
점용료(1일)1.0000.5270.0000.0000.0000.1101.0000.7811.0001.0001.0000.0000.4281.000
관리기관전화번호0.9960.8151.0000.5471.0000.1561.0000.7101.0001.0001.0000.3890.5060.996
위도0.3890.8751.0000.7830.9910.0000.0000.0000.0000.0000.3891.0000.3310.389
경도0.5060.8351.0000.6541.0000.0000.0000.0000.4280.4280.5060.3311.0000.506
구군명0.9960.8151.0000.5471.0000.1561.0000.7101.0001.0000.9960.3890.5061.000
2023-12-11T01:41:56.542896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군명민원수수료점용료(1일)관리기관명설치방식관리기관전화번호행정동규격
구군명1.0000.9850.9850.9410.0950.9410.5230.870
민원수수료0.9851.0001.0000.9850.1750.9850.2610.884
점용료(1일)0.9851.0001.0000.9850.1750.9850.2610.884
관리기관명0.9410.9850.9851.0000.0950.9410.5230.870
설치방식0.0950.1750.1750.0951.0000.0950.5110.870
관리기관전화번호0.9410.9850.9850.9410.0951.0000.5230.870
행정동0.5230.2610.2610.5230.5110.5231.0000.173
규격0.8700.8840.8840.8700.8700.8700.1731.000
2023-12-11T01:41:56.644563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부착면수위도경도관리기관명행정동설치방식규격민원수수료점용료(1일)관리기관전화번호구군명
부착면수1.0000.1490.1690.4880.2370.9370.6720.4340.4340.4880.488
위도0.1491.0000.2300.2460.5470.0000.0000.0000.0000.2460.246
경도0.1690.2301.0000.6230.5830.0000.0000.3680.3680.6230.623
관리기관명0.4880.2460.6231.0000.5230.0950.8700.9850.9850.9410.941
행정동0.2370.5470.5830.5231.0000.5110.1730.2610.2610.5230.523
설치방식0.9370.0000.0000.0950.5111.0000.8700.1750.1750.0950.095
규격0.6720.0000.0000.8700.1730.8701.0000.8840.8840.8700.870
민원수수료0.4340.0000.3680.9850.2610.1750.8841.0001.0000.9850.985
점용료(1일)0.4340.0000.3680.9850.2610.1750.8841.0001.0000.9850.985
관리기관전화번호0.4880.2460.6230.9410.5230.0950.8700.9850.9851.0000.941
구군명0.4880.2460.6230.9410.5230.0950.8700.9850.9850.9411.000

Missing values

2023-12-11T01:41:51.089749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:41:51.332684image/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

관리기관명행정동위치소재지도로명주소소재지지번주소설치방식규격부착면수부착제한일민원수수료점용료(1일)관리기관전화번호위도경도구군명데이터기준일자
0주식회사 삼원기업서1동삼화여객 담 (공영주차장 옆)부산 금정구 동현로부산 금정구 서동 산 45-16탱탱이7*0.9510289001890051-518-519335.218238129.096593부산광역시금정구청2020-10-12
1주식회사 삼원기업부곡4동동현중학교부산 금정구 서동로부산 금정구 부곡동 산 136-6탱탱이7*0.9510289001890051-518-519335.219036129.092608부산광역시금정구청2020-10-12
2주식회사 삼원기업구서1동구서지하철역 배비장보쌈 뒤부산 금정구 금정로 237번길부산 금정구 구서동 475탱탱이7*0.9610289001890051-518-519335.244707129.091197부산광역시금정구청2020-10-12
3주식회사 삼원기업구서2동어린이놀이터 앞부산 금정구 금강로부산 금정구 구서동 637-1탱탱이7*0.9610289001890051-518-519335.260669129.087672부산광역시금정구청2020-10-12
4주식회사 삼원기업남산동침례병원 육교 옆부산 금정구 금단로부산 금정구 남산동 13탱탱이7*0.9610289001890051-518-519335.267994129.092861부산광역시금정구청2020-10-12
5주식회사 삼원기업장전동장전동지하철역 뒤부산 금정구 장전온천천로 144부산 금정구 부곡동 399탱탱이7*0.9710289001890051-518-519335.239579129.088456부산광역시금정구청2020-10-12
6주식회사 삼원기업금사동석대다리부산 금정구 반송로부산 금정구 금사동 11-1탱탱이7*0.9710289001890051-518-519335.217052129.117875부산광역시금정구청2020-10-12
7주식회사 삼원기업구서동롯데캐슬 산복도로부산 금정구 금샘로부산 금정구 구서동 716탱탱이7*0.9710289001890051-518-519335.249314129.084874부산광역시금정구청2020-10-12
8주식회사 삼원기업노포동버스터미널 앞부산 금정구 중앙대로부산 금정구 노포동 166-11탱탱이7*0.9610289001890051-518-519335.284411129.094704부산광역시금정구청2020-10-12
9주식회사 삼원기업부곡4동온천장지하철 옆부산 금정구 중앙대로부산 금정구 장전동 655-9탱탱이7*0.9710289001890051-518-519335.222786129.087622부산광역시금정구청2020-10-12
관리기관명행정동위치소재지도로명주소소재지지번주소설치방식규격부착면수부착제한일민원수수료점용료(1일)관리기관전화번호위도경도구군명데이터기준일자
25부산광역시 금정구청청룡노포동청룡동기지창후문앞부산 금정구 중앙대로부산 금정구 노포동 산115-4탱탱이7.0*0.761000051-519-462535.27129.09부산광역시 금정구청2020-10-12
26부산광역시 금정구청서1동서동부산은행앞부산 금정구 서동로부산 금정구 서동302-1664탱탱이7.0*0.761000051-519-462535.21129.09부산광역시 금정구청2020-10-12
27부산광역시 금정구청금사동회동동동부폐차장앞부산 금정구 개좌로부산 금정구 회동동212탱탱이7.0*0.761000051-519-462535.23129.12부산광역시 금정구청2020-10-12
28부산광역시 금정구청청룡노포동노포검문소근처부산 금정구 중앙대로부산 금정구 노포동810-5탱탱이9.8*0.921000051-519-462535.27129.09부산광역시 금정구청2020-10-12
29부산광역시 금정구청장전1동장전역1번3번출구사이(우측)부산 금정구 장전온천천로144부산 금정구 장전동242탱탱이7.2*0.951000051-519-462535.23129.08부산광역시 금정구청2020-10-12
30부산광역시 금정구청장전1동부산대학교 nc백화점옆부산 금정구 부산대학로64번길부산 금정구 장전동40-5탱탱이7.0*0.951000051-519-462535.23129.08부산광역시 금정구청2020-10-12
31부산광역시 금정구청구서1동구서동역 공영주차장옆부산 금정구 금정로 237번길부산 금정구 구서동476탱탱이7.0*0.951000051-519-462535.24129.09부산광역시 금정구청2020-10-12
32부산광역시 금정구청부곡3동금정소방서 교차로부산 금정구 무학송로 153부산 금정구 부곡동 13저단형6.0*.0711000051-519-462535.21129.09부산광역시 금정구청2020-10-12
33부산광역시 금정구청장전2동금강교차로 삼거리부산 금정구 금강로 192부산 금정구 장전동 542-31저단형6.0*.0711000051-519-462535.23129.09부산광역시 금정구청2020-10-12
34부산광역시 금정구청구서2동부산과학고입구 삼거리부산 금정구 두실로 69부산 금정구 구서동 1006-1저단형6.0*.0711000051-519-462535.26129.08부산광역시 금정구청2020-10-12