Overview

Dataset statistics

Number of variables16
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory137.5 B

Variable types

Categorical9
Text3
Numeric3
DateTime1

Dataset

Description금정구 관내 상업용 및 행정용 현수막 지정게시대에 대한 데이터로 현수막게시대 위치 등 현황 (게시대명, 위치 등)에 대한 목록 작성
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15025816/fileData.do

Alerts

부착제한일 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리기관전화번호 is highly overall correlated with 부착면수 and 7 other fieldsHigh correlation
구군명 is highly overall correlated with 부착면수 and 7 other fieldsHigh correlation
점용료(1일) is highly overall correlated with 관리기관명 and 4 other fieldsHigh correlation
관리기관명 is highly overall correlated with 부착면수 and 7 other fieldsHigh correlation
민원수수료 is highly overall correlated with 관리기관명 and 4 other fieldsHigh correlation
부착면수 is highly overall correlated with 관리기관명 and 4 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 4 other fieldsHigh correlation
설치방식 is highly overall correlated with 부착면수 and 1 other fieldsHigh correlation
규격 is highly overall correlated with 부착면수 and 6 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 21:44:48.004009
Analysis finished2023-12-12 21:44:50.143532
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
부산광역시 금정구청
21 
주식회사 삼원기업
17 

Length

Max length10
Median length10
Mean length9.5526316
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 21
55.3%
주식회사 삼원기업 17
44.7%

Length

2023-12-13T06:44:50.228770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:50.361093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 21
27.6%
금정구청 21
27.6%
주식회사 17
22.4%
삼원기업 17
22.4%

행정동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
구서1동
5 
서1동
4 
노포동
4 
부곡4동
3 
남산동
3 
Other values (9)
19 

Length

Max length5
Median length4
Mean length3.6052632
Min length3

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
구서1동 5
13.2%
서1동 4
10.5%
노포동 4
10.5%
부곡4동 3
7.9%
남산동 3
7.9%
장전동 3
7.9%
장전1동 3
7.9%
청룡노포동 3
7.9%
구서2동 2
 
5.3%
금사동 2
 
5.3%
Other values (4) 6
15.8%

Length

2023-12-13T06:44:50.519441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구서1동 5
13.2%
서1동 4
10.5%
노포동 4
10.5%
부곡4동 3
7.9%
남산동 3
7.9%
장전동 3
7.9%
장전1동 3
7.9%
청룡노포동 3
7.9%
구서2동 2
 
5.3%
금사동 2
 
5.3%
Other values (4) 6
15.8%

위치
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T06:44:50.813980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length10
Min length4

Characters and Unicode

Total characters380
Distinct characters122
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

Unique36 ?
Unique (%)94.7%

Sample

1st row삼화여객 담 (공영주차장 옆)
2nd row동현중학교
3rd row구서지하철역 배비장보쌈 뒤
4th row어린이놀이터 앞
5th row침례병원 육교 옆
ValueCountFrequency (%)
옆 5
 
7.2%
앞 5
 
7.2%
온천장지하철 2
 
2.9%
뒤 2
 
2.9%
사거리 2
 
2.9%
기지창 2
 
2.9%
삼거리 2
 
2.9%
공영주차장 2
 
2.9%
구서지하철역 2
 
2.9%
부산과학고입구 1
 
1.4%
Other values (44) 44
63.8%
2023-12-13T06:44:51.266019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
8.2%
장 14
 
3.7%
동 13
 
3.4%
구 12
 
3.2%
지 11
 
2.9%
앞 11
 
2.9%
차 10
 
2.6%
역 10
 
2.6%
서 8
 
2.1%
교 8
 
2.1%
Other values (112) 252
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
87.1%
Space Separator 31
 
8.2%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Decimal Number 5
 
1.3%
Lowercase Letter 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 14
 
4.2%
동 13
 
3.9%
구 12
 
3.6%
지 11
 
3.3%
앞 11
 
3.3%
차 10
 
3.0%
역 10
 
3.0%
서 8
 
2.4%
교 8
 
2.4%
산 8
 
2.4%
Other values (104) 226
68.3%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
1 2
40.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
31
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 331
87.1%
Common 47
 
12.4%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 14
 
4.2%
동 13
 
3.9%
구 12
 
3.6%
지 11
 
3.3%
앞 11
 
3.3%
차 10
 
3.0%
역 10
 
3.0%
서 8
 
2.4%
교 8
 
2.4%
산 8
 
2.4%
Other values (104) 226
68.3%
Common
ValueCountFrequency (%)
31
66.0%
) 5
 
10.6%
( 5
 
10.6%
3 3
 
6.4%
1 2
 
4.3%
, 1
 
2.1%
Latin
ValueCountFrequency (%)
n 1
50.0%
c 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
87.1%
ASCII 49
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
63.3%
) 5
 
10.2%
( 5
 
10.2%
3 3
 
6.1%
1 2
 
4.1%
, 1
 
2.0%
n 1
 
2.0%
c 1
 
2.0%
Hangul
ValueCountFrequency (%)
장 14
 
4.2%
동 13
 
3.9%
구 12
 
3.6%
지 11
 
3.3%
앞 11
 
3.3%
차 10
 
3.0%
역 10
 
3.0%
서 8
 
2.4%
교 8
 
2.4%
산 8
 
2.4%
Other values (104) 226
68.3%

소재지도로명주소
Text

Distinct26
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T06:44:51.472920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length13.026316
Min length10

Characters and Unicode

Total characters495
Distinct characters52
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

Unique21 ?
Unique (%)55.3%

Sample

1st row부산 금정구 동현로
2nd row부산 금정구 서동로
3rd row부산 금정구 금정로 237번길
4th row부산 금정구 금강로
5th row부산 금정구 금단로
ValueCountFrequency (%)
금정구 37
29.8%
부산 36
29.0%
중앙대로 9
 
7.3%
장전온천천로 3
 
2.4%
144 3
 
2.4%
서동로 3
 
2.4%
장전온천천로144 2
 
1.6%
금정로 2
 
1.6%
237번길 2
 
1.6%
금강로 2
 
1.6%
Other values (25) 25
20.2%
2023-12-13T06:44:51.828967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
17.4%
금 44
 
8.9%
부 40
 
8.1%
정 40
 
8.1%
로 38
 
7.7%
산 38
 
7.7%
구 38
 
7.7%
4 15
 
3.0%
천 13
 
2.6%
1 13
 
2.6%
Other values (42) 130
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
70.3%
Space Separator 86
 
17.4%
Decimal Number 60
 
12.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 44
12.6%
부 40
11.5%
정 40
11.5%
로 38
10.9%
산 38
10.9%
구 38
10.9%
천 13
 
3.7%
대 13
 
3.7%
앙 12
 
3.4%
중 12
 
3.4%
Other values (30) 60
17.2%
Decimal Number
ValueCountFrequency (%)
4 15
25.0%
1 13
21.7%
7 7
11.7%
3 6
 
10.0%
2 6
 
10.0%
8 4
 
6.7%
9 3
 
5.0%
6 3
 
5.0%
0 2
 
3.3%
5 1
 
1.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
70.3%
Common 147
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 44
12.6%
부 40
11.5%
정 40
11.5%
로 38
10.9%
산 38
10.9%
구 38
10.9%
천 13
 
3.7%
대 13
 
3.7%
앙 12
 
3.4%
중 12
 
3.4%
Other values (30) 60
17.2%
Common
ValueCountFrequency (%)
86
58.5%
4 15
 
10.2%
1 13
 
8.8%
7 7
 
4.8%
3 6
 
4.1%
2 6
 
4.1%
8 4
 
2.7%
9 3
 
2.0%
6 3
 
2.0%
0 2
 
1.4%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
70.3%
ASCII 147
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
58.5%
4 15
 
10.2%
1 13
 
8.8%
7 7
 
4.8%
3 6
 
4.1%
2 6
 
4.1%
8 4
 
2.7%
9 3
 
2.0%
6 3
 
2.0%
0 2
 
1.4%
Other values (2) 2
 
1.4%
Hangul
ValueCountFrequency (%)
금 44
12.6%
부 40
11.5%
정 40
11.5%
로 38
10.9%
산 38
10.9%
구 38
10.9%
천 13
 
3.7%
대 13
 
3.7%
앙 12
 
3.4%
중 12
 
3.4%
Other values (30) 60
17.2%

소재지지번주소
Text

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T06:44:52.048479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length14.868421
Min length9

Characters and Unicode

Total characters565
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

Unique30 ?
Unique (%)78.9%

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 38
27.0%
금정구 36
25.5%
구서동 6
 
4.3%
장전동 4
 
2.8%
부곡동 4
 
2.8%
노포동 4
 
2.8%
산 3
 
2.1%
서동 3
 
2.1%
장전동242 2
 
1.4%
655-9 2
 
1.4%
Other values (34) 39
27.7%
2023-12-13T06:44:52.403147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
18.2%
구 46
 
8.1%
산 45
 
8.0%
부 43
 
7.6%
동 39
 
6.9%
금 37
 
6.5%
정 36
 
6.4%
1 29
 
5.1%
- 24
 
4.2%
6 18
 
3.2%
Other values (20) 145
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
52.7%
Decimal Number 140
24.8%
Space Separator 103
 
18.2%
Dash Punctuation 24
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 46
15.4%
산 45
15.1%
부 43
14.4%
동 39
13.1%
금 37
12.4%
정 36
12.1%
서 13
 
4.4%
전 7
 
2.3%
장 7
 
2.3%
곡 5
 
1.7%
Other values (8) 20
6.7%
Decimal Number
ValueCountFrequency (%)
1 29
20.7%
6 18
12.9%
2 17
12.1%
4 16
11.4%
5 14
10.0%
3 13
9.3%
7 10
 
7.1%
0 10
 
7.1%
9 8
 
5.7%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
52.7%
Common 267
47.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 46
15.4%
산 45
15.1%
부 43
14.4%
동 39
13.1%
금 37
12.4%
정 36
12.1%
서 13
 
4.4%
전 7
 
2.3%
장 7
 
2.3%
곡 5
 
1.7%
Other values (8) 20
6.7%
Common
ValueCountFrequency (%)
103
38.6%
1 29
 
10.9%
- 24
 
9.0%
6 18
 
6.7%
2 17
 
6.4%
4 16
 
6.0%
5 14
 
5.2%
3 13
 
4.9%
7 10
 
3.7%
0 10
 
3.7%
Other values (2) 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
52.7%
ASCII 267
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
38.6%
1 29
 
10.9%
- 24
 
9.0%
6 18
 
6.7%
2 17
 
6.4%
4 16
 
6.0%
5 14
 
5.2%
3 13
 
4.9%
7 10
 
3.7%
0 10
 
3.7%
Other values (2) 13
 
4.9%
Hangul
ValueCountFrequency (%)
구 46
15.4%
산 45
15.1%
부 43
14.4%
동 39
13.1%
금 37
12.4%
정 36
12.1%
서 13
 
4.4%
전 7
 
2.3%
장 7
 
2.3%
곡 5
 
1.7%
Other values (8) 20
6.7%

설치방식
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
탱탱이
32 
저단형
6 

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
84.2%
저단형 6
 
15.8%

Length

2023-12-13T06:44:52.534885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:52.648913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
탱탱이 32
84.2%
저단형 6
 
15.8%

규격
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
7*0.9
10 
5.5*0.7
7 
7.0*0.7
5 
7.0*0.9
4 
6.0*.0.7
3 
Other values (6)
9 

Length

Max length8
Median length7
Mean length6.5263158
Min length5

Unique

Unique4 ?
Unique (%)10.5%

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
26.3%
5.5*0.7 7
18.4%
7.0*0.7 5
13.2%
7.0*0.9 4
 
10.5%
6.0*.0.7 3
 
7.9%
5.0*0.6 3
 
7.9%
6.0*0.9 2
 
5.3%
6.9*0.9 1
 
2.6%
5.7*07 1
 
2.6%
9.8*0.9 1
 
2.6%

Length

2023-12-13T06:44:52.772696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7*0.9 10
26.3%
5.5*0.7 7
18.4%
7.0*0.7 5
13.2%
7.0*0.9 4
 
10.5%
6.0*.0.7 3
 
7.9%
5.0*0.6 3
 
7.9%
6.0*0.9 2
 
5.3%
6.9*0.9 1
 
2.6%
5.7*07 1
 
2.6%
9.8*0.9 1
 
2.6%

부착면수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T06:44:52.874354image/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 deviation1.7858301
Coefficient of variation (CV)0.35716602
Kurtosis0.40977825
Mean5
Median Absolute Deviation (MAD)1
Skewness-1.262291
Sum190
Variance3.1891892
MonotonicityNot monotonic
2023-12-13T06:44:52.966457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 17
44.7%
5 9
23.7%
7 4
 
10.5%
2 4
 
10.5%
1 3
 
7.9%
4 1
 
2.6%
ValueCountFrequency (%)
1 3
 
7.9%
2 4
 
10.5%
4 1
 
2.6%
5 9
23.7%
6 17
44.7%
7 4
 
10.5%
ValueCountFrequency (%)
7 4
 
10.5%
6 17
44.7%
5 9
23.7%
4 1
 
2.6%
2 4
 
10.5%
1 3
 
7.9%

부착제한일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
10
38 

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 38
100.0%

Length

2023-12-13T06:44:53.106417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:53.218369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 38
100.0%

민원수수료
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
21 
28900
10 
21500
7 

Length

Max length5
Median length1
Mean length2.7894737
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
55.3%
28900 10
26.3%
21500 7
 
18.4%

Length

2023-12-13T06:44:53.358758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:53.509109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
55.3%
28900 10
26.3%
21500 7
 
18.4%

점용료(1일)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
21 
1890
10 
1150
7 

Length

Max length4
Median length1
Mean length2.3421053
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
55.3%
1890 10
26.3%
1150 7
 
18.4%

Length

2023-12-13T06:44:53.644955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:53.794573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
55.3%
1890 10
26.3%
1150 7
 
18.4%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
051-519-4625
21 
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 21
55.3%
051-518-5193 17
44.7%

Length

2023-12-13T06:44:53.920157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:54.040914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-519-4625 21
55.3%
051-518-5193 17
44.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.244507
Minimum35.21
Maximum35.288617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T06:44:54.153811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.21
5-th percentile35.21
Q135.23
median35.24
Q335.260502
95-th percentile35.284288
Maximum35.288617
Range0.078617
Interquartile range (IQR)0.03050175

Descriptive statistics

Standard deviation0.022980256
Coefficient of variation (CV)0.00065202377
Kurtosis-0.96704972
Mean35.244507
Median Absolute Deviation (MAD)0.02
Skewness0.32272065
Sum1339.2913
Variance0.00052809218
MonotonicityNot monotonic
2023-12-13T06:44:54.306457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.23 5
 
13.2%
35.24 4
 
10.5%
35.21 3
 
7.9%
35.27 3
 
7.9%
35.26 3
 
7.9%
35.222786 2
 
5.3%
35.218238 1
 
2.6%
35.276957 1
 
2.6%
35.28 1
 
2.6%
35.22 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
35.21 3
7.9%
35.217052 1
 
2.6%
35.218238 1
 
2.6%
35.219036 1
 
2.6%
35.22 1
 
2.6%
35.222786 2
 
5.3%
35.23 5
13.2%
35.231043 1
 
2.6%
35.239579 1
 
2.6%
35.239638 1
 
2.6%
ValueCountFrequency (%)
35.288617 1
 
2.6%
35.284411 1
 
2.6%
35.284266 1
 
2.6%
35.28 1
 
2.6%
35.276957 1
 
2.6%
35.27 3
7.9%
35.267994 1
 
2.6%
35.260669 1
 
2.6%
35.26 3
7.9%
35.25 1
 
2.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.09117
Minimum129.08
Maximum129.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T06:44:54.487415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.08
5-th percentile129.08
Q1129.08869
median129.09
Q3129.09226
95-th percentile129.10268
Maximum129.12
Range0.04
Interquartile range (IQR)0.003564

Descriptive statistics

Standard deviation0.0079402079
Coefficient of variation (CV)6.1508527 × 10-5
Kurtosis6.9120241
Mean129.09117
Median Absolute Deviation (MAD)0.001792
Skewness2.169782
Sum4905.4645
Variance6.3046902 × 10-5
MonotonicityNot monotonic
2023-12-13T06:44:54.938285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
129.09 15
39.5%
129.08 4
 
10.5%
129.087622 2
 
5.3%
129.096593 1
 
2.6%
129.094651 1
 
2.6%
129.12 1
 
2.6%
129.1 1
 
2.6%
129.089397 1
 
2.6%
129.08796 1
 
2.6%
129.092831 1
 
2.6%
Other values (10) 10
26.3%
ValueCountFrequency (%)
129.08 4
 
10.5%
129.084874 1
 
2.6%
129.087622 2
 
5.3%
129.087672 1
 
2.6%
129.08796 1
 
2.6%
129.088456 1
 
2.6%
129.089397 1
 
2.6%
129.09 15
39.5%
129.090864 1
 
2.6%
129.091197 1
 
2.6%
ValueCountFrequency (%)
129.12 1
2.6%
129.117875 1
2.6%
129.1 1
2.6%
129.096753 1
2.6%
129.096593 1
2.6%
129.094704 1
2.6%
129.094651 1
2.6%
129.092861 1
2.6%
129.092831 1
2.6%
129.092608 1
2.6%

구군명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
부산광역시 금정구청
21 
부산광역시금정구청
17 

Length

Max length10
Median length10
Mean length9.5526316
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 금정구청 21
55.3%
부산광역시금정구청 17
44.7%

Length

2023-12-13T06:44:55.110144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:44:55.247222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 21
35.6%
금정구청 21
35.6%
부산광역시금정구청 17
28.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2023-10-26 00:00:00
Maximum2023-10-26 00:00:00
2023-12-13T06:44:55.332916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:55.443161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:44:49.395094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:48.799441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:49.077872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:49.500174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:48.895432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:49.164898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:49.619965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:48.989904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:44:49.270619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:44:55.556338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명행정동위치소재지도로명주소소재지지번주소설치방식규격부착면수민원수수료점용료(1일)관리기관전화번호위도경도구군명
관리기관명1.0000.8451.0000.5881.0000.4201.0000.7721.0001.0000.9960.4740.5370.996
행정동0.8451.0001.0000.9681.0000.2300.3440.5120.5890.5890.8450.8880.8480.845
위치1.0001.0001.0001.0001.0001.0000.9840.8910.0000.0001.0001.0001.0001.000
소재지도로명주소0.5880.9681.0001.0001.0001.0000.7380.9030.0000.0000.5880.7860.4250.588
소재지지번주소1.0001.0001.0001.0001.0001.0000.0000.9270.0000.0001.0000.9911.0001.000
설치방식0.4200.2301.0001.0001.0001.0001.0000.9900.1970.1970.4200.0000.1180.420
규격1.0000.3440.9840.7380.0001.0001.0000.8891.0001.0001.0000.0000.0001.000
부착면수0.7720.5120.8910.9030.9270.9900.8891.0000.8130.8130.7720.0000.0000.772
민원수수료1.0000.5890.0000.0000.0000.1971.0000.8131.0001.0001.0000.2760.4671.000
점용료(1일)1.0000.5890.0000.0000.0000.1971.0000.8131.0001.0001.0000.2760.4671.000
관리기관전화번호0.9960.8451.0000.5881.0000.4201.0000.7721.0001.0001.0000.4740.5370.996
위도0.4740.8881.0000.7860.9910.0000.0000.0000.2760.2760.4741.0000.4680.474
경도0.5370.8481.0000.4251.0000.1180.0000.0000.4670.4670.5370.4681.0000.537
구군명0.9960.8451.0000.5881.0000.4201.0000.7721.0001.0000.9960.4740.5371.000
2023-12-13T06:44:55.763410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호구군명점용료(1일)설치방식규격관리기관명행정동민원수수료
관리기관전화번호1.0000.9450.9860.2750.8660.9450.5610.986
구군명0.9451.0000.9860.2750.8660.9450.5610.986
점용료(1일)0.9860.9861.0000.3170.8780.9860.3211.000
설치방식0.2750.2750.3171.0000.8660.2750.1110.317
규격0.8660.8660.8780.8661.0000.8660.0740.878
관리기관명0.9450.9450.9860.2750.8661.0000.5610.986
행정동0.5610.5610.3210.1110.0740.5611.0000.321
민원수수료0.9860.9861.0000.3170.8780.9860.3211.000
2023-12-13T06:44:55.923492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부착면수위도경도관리기관명행정동설치방식규격민원수수료점용료(1일)관리기관전화번호구군명
부착면수1.0000.1500.1560.5420.2230.8580.6620.4720.4720.5420.542
위도0.1501.0000.2330.3130.5800.0000.0000.1300.1300.3130.313
경도0.1560.2331.0000.6450.6080.0000.0000.3950.3950.6450.645
관리기관명0.5420.3130.6451.0000.5610.2750.8660.9860.9860.9450.945
행정동0.2230.5800.6080.5611.0000.1110.0740.3210.3210.5610.561
설치방식0.8580.0000.0000.2750.1111.0000.8660.3170.3170.2750.275
규격0.6620.0000.0000.8660.0740.8661.0000.8780.8780.8660.866
민원수수료0.4720.1300.3950.9860.3210.3170.8781.0001.0000.9860.986
점용료(1일)0.4720.1300.3950.9860.3210.3170.8781.0001.0000.9860.986
관리기관전화번호0.5420.3130.6450.9450.5610.2750.8660.9860.9861.0000.945
구군명0.5420.3130.6450.9450.5610.2750.8660.9860.9860.9451.000

Missing values

2023-12-13T06:44:49.780924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:44:50.051302image/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*0.9510289001890051-518-519335.218238129.096593부산광역시금정구청2023-10-26
1주식회사 삼원기업부곡4동동현중학교부산 금정구 서동로부산 금정구 부곡동 산 136-6탱탱이7*0.9510289001890051-518-519335.219036129.092608부산광역시금정구청2023-10-26
2주식회사 삼원기업구서1동구서지하철역 배비장보쌈 뒤부산 금정구 금정로 237번길부산 금정구 구서동 475탱탱이7*0.9610289001890051-518-519335.244707129.091197부산광역시금정구청2023-10-26
3주식회사 삼원기업구서2동어린이놀이터 앞부산 금정구 금강로부산 금정구 구서동 637-1탱탱이7*0.9610289001890051-518-519335.260669129.087672부산광역시금정구청2023-10-26
4주식회사 삼원기업남산동침례병원 육교 옆부산 금정구 금단로부산 금정구 남산동 13탱탱이7*0.9610289001890051-518-519335.267994129.092861부산광역시금정구청2023-10-26
5주식회사 삼원기업장전동장전동지하철역 뒤부산 금정구 장전온천천로 144부산 금정구 부곡동 399탱탱이7*0.9710289001890051-518-519335.239579129.088456부산광역시금정구청2023-10-26
6주식회사 삼원기업금사동석대다리부산 금정구 반송로부산 금정구 금사동 11-1탱탱이7*0.9710289001890051-518-519335.217052129.117875부산광역시금정구청2023-10-26
7주식회사 삼원기업구서동롯데캐슬 산복도로부산 금정구 금샘로부산 금정구 구서동 716탱탱이7*0.9710289001890051-518-519335.249314129.084874부산광역시금정구청2023-10-26
8주식회사 삼원기업노포동버스터미널 앞부산 금정구 중앙대로부산 금정구 노포동 166-11탱탱이7*0.9610289001890051-518-519335.284411129.094704부산광역시금정구청2023-10-26
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29부산광역시 금정구청장전1동장전역1번3번출구사이(우측)부산 금정구 장전온천천로144부산 금정구 장전동242탱탱이7.2*0.951000051-519-462535.23129.08부산광역시 금정구청2023-10-26
30부산광역시 금정구청장전1동부산대학교 nc백화점옆부산 금정구 부산대학로64번길부산 금정구 장전동40-5탱탱이7.0*0.951000051-519-462535.23129.08부산광역시 금정구청2023-10-26
31부산광역시 금정구청구서1동구서동역 공영주차장옆부산 금정구 금정로 237번길부산 금정구 구서동476탱탱이7.0*0.951000051-519-462535.24129.09부산광역시 금정구청2023-10-26
32부산광역시 금정구청부곡3동금정소방서 교차로부산 금정구 무학송로 153부산 금정구 부곡동 13저단형6.0*.0.711000051-519-462535.21129.09부산광역시 금정구청2023-10-26
33부산광역시 금정구청장전2동금강교차로 삼거리부산 금정구 금강로 192부산 금정구 장전동 542-31저단형6.0*.0.711000051-519-462535.23129.09부산광역시 금정구청2023-10-26
34부산광역시 금정구청구서2동부산과학고입구 삼거리부산 금정구 두실로 69부산 금정구 구서동 1006-1저단형6.0*.0.711000051-519-462535.26129.08부산광역시 금정구청2023-10-26
35부산광역시 금정구청청룡노포동청룡동 고려해장국 앞부산 금정구 청룡예전로 34부산 금정구 청룡동 64-1저단형5.0*0.621000051-519-462535.27129.09부산광역시 금정구청2023-10-26
36부산광역시 금정구청구서1동태광산업 앞 사거리부산 금정구 중앙대로 1840부산 금정구 구서동 90-1저단형5.0*0.621000051-519-462535.24129.09부산광역시 금정구청2023-10-26
37부산광역시 금정구청서1동서동고개 새마을금고 앞부산 금정구 서동로 78부산 금정구 서동 302-1738저단형5.0*0.621000051-519-462535.21129.09부산광역시 금정구청2023-10-26