Overview

Dataset statistics

Number of variables7
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory62.3 B

Variable types

Numeric1
Categorical4
Text2

Dataset

Description함안군에 설치 된 무인단속카메라의 위치정보, 용도 등 제공, 무인단속카메라의 관리주체, 설치된 장소, 무인단속카메라의 구분명칭 등을 포함하고 있습니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15040503

Alerts

시군구명 has constant value ""Constant
단속구분 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
연번 has unique valuesUnique
카메라명(설치장소) has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:37:36.473501
Analysis finished2023-12-11 00:37:37.022373
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T09:37:37.095732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-11T09:37:37.228328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
함안군
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
함안군 25
100.0%

Length

2023-12-11T09:37:37.361499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:37.452495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
함안군 25
100.0%

소재지지번주소
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:37:37.645737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length22.16
Min length20

Characters and Unicode

Total characters554
Distinct characters39
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

Unique19 ?
Unique (%)76.0%

Sample

1st row경상남도 함안군 가야읍 말산리 454-10
2nd row경상남도 함안군 가야읍 말산리 204-2
3rd row경상남도 함안군 가야읍 말산리 516-10
4th row경상남도 함안군 가야읍 말산리 58-29
5th row경상남도 함안군 가야읍 도항리 79-2
ValueCountFrequency (%)
경상남도 25
20.0%
함안군 25
20.0%
가야읍 15
12.0%
말산리 10
 
8.0%
칠원읍 9
 
7.2%
오곡리 5
 
4.0%
도항리 4
 
3.2%
용산리 3
 
2.4%
1423-181 2
 
1.6%
616 2
 
1.6%
Other values (24) 25
20.0%
2023-12-11T09:37:38.289033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
18.1%
도 29
 
5.2%
함 26
 
4.7%
안 26
 
4.7%
경 25
 
4.5%
남 25
 
4.5%
군 25
 
4.5%
상 25
 
4.5%
1 24
 
4.3%
읍 24
 
4.3%
Other values (29) 225
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
59.2%
Decimal Number 106
 
19.1%
Space Separator 100
 
18.1%
Dash Punctuation 20
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 29
 
8.8%
함 26
 
7.9%
안 26
 
7.9%
경 25
 
7.6%
남 25
 
7.6%
군 25
 
7.6%
상 25
 
7.6%
읍 24
 
7.3%
리 23
 
7.0%
가 15
 
4.6%
Other values (17) 85
25.9%
Decimal Number
ValueCountFrequency (%)
1 24
22.6%
4 16
15.1%
2 14
13.2%
6 13
12.3%
3 12
11.3%
8 7
 
6.6%
5 6
 
5.7%
9 5
 
4.7%
7 5
 
4.7%
0 4
 
3.8%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
59.2%
Common 226
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 29
 
8.8%
함 26
 
7.9%
안 26
 
7.9%
경 25
 
7.6%
남 25
 
7.6%
군 25
 
7.6%
상 25
 
7.6%
읍 24
 
7.3%
리 23
 
7.0%
가 15
 
4.6%
Other values (17) 85
25.9%
Common
ValueCountFrequency (%)
100
44.2%
1 24
 
10.6%
- 20
 
8.8%
4 16
 
7.1%
2 14
 
6.2%
6 13
 
5.8%
3 12
 
5.3%
8 7
 
3.1%
5 6
 
2.7%
9 5
 
2.2%
Other values (2) 9
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
59.2%
ASCII 226
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
44.2%
1 24
 
10.6%
- 20
 
8.8%
4 16
 
7.1%
2 14
 
6.2%
6 13
 
5.8%
3 12
 
5.3%
8 7
 
3.1%
5 6
 
2.7%
9 5
 
2.2%
Other values (2) 9
 
4.0%
Hangul
ValueCountFrequency (%)
도 29
 
8.8%
함 26
 
7.9%
안 26
 
7.9%
경 25
 
7.6%
남 25
 
7.6%
군 25
 
7.6%
상 25
 
7.6%
읍 24
 
7.3%
리 23
 
7.0%
가 15
 
4.6%
Other values (17) 85
25.9%

카메라명(설치장소)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T09:37:38.445765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.04
Min length4

Characters and Unicode

Total characters201
Distinct characters73
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row함안사거리
2nd row함안군청 사거리
3rd row농협아라지소 앞
4th row이태호한의원 앞
5th row농어촌공사 삼거리
ValueCountFrequency (%)
앞 11
25.0%
후문 2
 
4.5%
가야초등학교 2
 
4.5%
함안등기소 1
 
2.3%
박내과 1
 
2.3%
시외버스터미널 1
 
2.3%
칠원읍사무소 1
 
2.3%
가야시장사거리 1
 
2.3%
구 1
 
2.3%
벽산블루밍 1
 
2.3%
Other values (22) 22
50.0%
2023-12-11T09:37:38.767630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
9.5%
앞 13
 
6.5%
등 8
 
4.0%
칠 8
 
4.0%
교 8
 
4.0%
원 8
 
4.0%
학 7
 
3.5%
초 7
 
3.5%
사 6
 
3.0%
야 6
 
3.0%
Other values (63) 111
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
88.6%
Space Separator 19
 
9.5%
Close Punctuation 2
 
1.0%
Open Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 13
 
7.3%
등 8
 
4.5%
칠 8
 
4.5%
교 8
 
4.5%
원 8
 
4.5%
학 7
 
3.9%
초 7
 
3.9%
사 6
 
3.4%
야 6
 
3.4%
거 5
 
2.8%
Other values (60) 102
57.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
88.6%
Common 23
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 13
 
7.3%
등 8
 
4.5%
칠 8
 
4.5%
교 8
 
4.5%
원 8
 
4.5%
학 7
 
3.9%
초 7
 
3.9%
사 6
 
3.4%
야 6
 
3.4%
거 5
 
2.8%
Other values (60) 102
57.3%
Common
ValueCountFrequency (%)
19
82.6%
) 2
 
8.7%
( 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
88.6%
ASCII 23
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
82.6%
) 2
 
8.7%
( 2
 
8.7%
Hangul
ValueCountFrequency (%)
앞 13
 
7.3%
등 8
 
4.5%
칠 8
 
4.5%
교 8
 
4.5%
원 8
 
4.5%
학 7
 
3.9%
초 7
 
3.9%
사 6
 
3.4%
야 6
 
3.4%
거 5
 
2.8%
Other values (60) 102
57.3%

단속구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
주차단속
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주차단속 25
100.0%

Length

2023-12-11T09:37:38.893106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:38.992462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차단속 25
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
함안군청
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
함안군청 25
100.0%

Length

2023-12-11T09:37:39.086073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:39.173380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
함안군청 25
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
055-580-2621
25 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-580-2621
2nd row055-580-2621
3rd row055-580-2621
4th row055-580-2621
5th row055-580-2621

Common Values

ValueCountFrequency (%)
055-580-2621 25
100.0%

Length

2023-12-11T09:37:39.267086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:39.368019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-580-2621 25
100.0%

Interactions

2023-12-11T09:37:36.673682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:37:39.437551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지지번주소카메라명(설치장소)
연번1.0000.8921.000
소재지지번주소0.8921.0001.000
카메라명(설치장소)1.0001.0001.000

Missing values

2023-12-11T09:37:36.819621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:37:36.965115image/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

연번시군구명소재지지번주소카메라명(설치장소)단속구분관리기관명관리기관전화번호
01함안군경상남도 함안군 가야읍 말산리 454-10함안사거리주차단속함안군청055-580-2621
12함안군경상남도 함안군 가야읍 말산리 204-2함안군청 사거리주차단속함안군청055-580-2621
23함안군경상남도 함안군 가야읍 말산리 516-10농협아라지소 앞주차단속함안군청055-580-2621
34함안군경상남도 함안군 가야읍 말산리 58-29이태호한의원 앞주차단속함안군청055-580-2621
45함안군경상남도 함안군 가야읍 도항리 79-2농어촌공사 삼거리주차단속함안군청055-580-2621
56함안군경상남도 함안군 가야읍 말산리 412-1영일세차장 앞주차단속함안군청055-580-2621
67함안군경상남도 함안군 칠원읍 용산리 66-2칠원용산사거리주차단속함안군청055-580-2621
78함안군경상남도 함안군 칠원읍 용산리 35-8칠원삼칠농협앞주차단속함안군청055-580-2621
89함안군경상남도 함안군 칠원읍 용산리 133-1칠원개인택시 정류소주차단속함안군청055-580-2621
910함안군경상남도 함안군 가야읍 도항리 88-1가야초등학교 앞주차단속함안군청055-580-2621
연번시군구명소재지지번주소카메라명(설치장소)단속구분관리기관명관리기관전화번호
1516함안군경상남도 함안군 칠원읍 구성리 967-23칠원읍사무소 앞주차단속함안군청055-580-2621
1617함안군경상남도 함안군 가야읍 말산리 434-26가야시장사거리주차단속함안군청055-580-2621
1718함안군경상남도 함안군 가야읍 도항리 1341-114가야초등학교 구 후문 앞주차단속함안군청055-580-2621
1819함안군경상남도 함안군 가야읍 말산리 726함안등기소 앞주차단속함안군청055-580-2621
1920함안군경상남도 함안군 칠원읍 오곡리 1423-129벽산블루밍 정문 앞주차단속함안군청055-580-2621
2021함안군경상남도 함안군 칠원읍 오곡리 1423-181야촌교 앞주차단속함안군청055-580-2621
2122함안군경상남도 함안군 가야읍 말산리 434-26가야시장주차단속함안군청055-580-2621
2223함안군경상남도 함안군 칠원읍 오곡리 1423-181칠원초등학교주차단속함안군청055-580-2621
2324함안군경상남도 함안군 가야읍 함안대로 746중앙초등학교주차단속함안군청055-580-2621
2425함안군경상남도 함안군 대산면 대산중앙3길 8대산초등학교주차단속함안군청055-580-2621