Overview

Dataset statistics

Number of variables12
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory101.0 B

Variable types

Categorical8
Text2
DateTime2

Dataset

Description함안군 제설함 위치 정보입니다. 제설함 설치 위치, 설치 주소, 관리기관, 관리부서, 관리번호, 제설함 설치형태, 제설함 설치연월일, 내용물 등의 정보를 포함하고 있습니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15107937

Alerts

관리기관 has constant value ""Constant
관리부서 has constant value ""Constant
소재지도로명주소 has constant value ""Constant
설치형태 has constant value ""Constant
설치연월일 has constant value ""Constant
내용물 has constant value ""Constant
염화칼슘(포) has constant value ""Constant
삽(개) has constant value ""Constant
모래(킬로그램) has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:06:37.847264
Analysis finished2023-12-11 00:06:38.780847
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경상남도 함안군
131 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 함안군
2nd row경상남도 함안군
3rd row경상남도 함안군
4th row경상남도 함안군
5th row경상남도 함안군

Common Values

ValueCountFrequency (%)
경상남도 함안군 131
100.0%

Length

2023-12-11T09:06:38.873882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:39.009565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 131
50.0%
함안군 131
50.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
함안군 산업건설국 건설교통과
131 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
함안군 산업건설국 건설교통과 131
100.0%

Length

2023-12-11T09:06:39.124976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:39.235964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
함안군 131
33.3%
산업건설국 131
33.3%
건설교통과 131
33.3%

관리번호
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T09:06:39.549126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1755725
Min length5

Characters and Unicode

Total characters809
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row함안군-1
2nd row함안군-2
3rd row함안군-3
4th row함안군-4
5th row함안군-5
ValueCountFrequency (%)
함안군-1 1
 
0.8%
함안군-67 1
 
0.8%
함안군-97 1
 
0.8%
함안군-96 1
 
0.8%
함안군-95 1
 
0.8%
함안군-94 1
 
0.8%
함안군-93 1
 
0.8%
함안군-92 1
 
0.8%
함안군-91 1
 
0.8%
함안군-90 1
 
0.8%
Other values (121) 121
92.4%
2023-12-11T09:06:40.114858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
16.2%
131
16.2%
131
16.2%
- 131
16.2%
1 66
8.2%
2 33
 
4.1%
3 25
 
3.1%
4 23
 
2.8%
5 23
 
2.8%
6 23
 
2.8%
Other values (4) 92
11.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
48.6%
Decimal Number 285
35.2%
Dash Punctuation 131
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
23.2%
2 33
11.6%
3 25
 
8.8%
4 23
 
8.1%
5 23
 
8.1%
6 23
 
8.1%
7 23
 
8.1%
8 23
 
8.1%
9 23
 
8.1%
0 23
 
8.1%
Other Letter
ValueCountFrequency (%)
131
33.3%
131
33.3%
131
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
51.4%
Hangul 393
48.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 131
31.5%
1 66
15.9%
2 33
 
7.9%
3 25
 
6.0%
4 23
 
5.5%
5 23
 
5.5%
6 23
 
5.5%
7 23
 
5.5%
8 23
 
5.5%
9 23
 
5.5%
Hangul
ValueCountFrequency (%)
131
33.3%
131
33.3%
131
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
51.4%
Hangul 393
48.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
131
33.3%
131
33.3%
131
33.3%
ASCII
ValueCountFrequency (%)
- 131
31.5%
1 66
15.9%
2 33
 
7.9%
3 25
 
6.0%
4 23
 
5.5%
5 23
 
5.5%
6 23
 
5.5%
7 23
 
5.5%
8 23
 
5.5%
9 23
 
5.5%

소재지도로명주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
없음
131 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 131
100.0%

Length

2023-12-11T09:06:40.274060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:40.396185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 131
100.0%
Distinct81
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T09:06:40.705288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.167939
Min length15

Characters and Unicode

Total characters2249
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

Unique46 ?
Unique (%)35.1%

Sample

1st row함안군 가야읍 도항리 1352
2nd row함안군 가야읍 도항리 1352
3rd row함안군 가야읍 사내리 1223-1
4th row함안군 가야읍 사내리 산169-5
5th row함안군 가야읍 춘곡리 산33-1
ValueCountFrequency (%)
함안군 131
25.0%
산인면 46
 
8.8%
신산리 30
 
5.7%
여항면 21
 
4.0%
군북면 19
 
3.6%
대산면 14
 
2.7%
외암리 13
 
2.5%
대사리 12
 
2.3%
모로리 12
 
2.3%
칠북면 10
 
1.9%
Other values (102) 216
41.2%
2023-12-11T09:06:41.231727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
17.5%
170
 
7.6%
150
 
6.7%
1 145
 
6.4%
131
 
5.8%
131
 
5.8%
131
 
5.8%
112
 
5.0%
- 103
 
4.6%
2 68
 
3.0%
Other values (52) 714
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1257
55.9%
Decimal Number 495
 
22.0%
Space Separator 394
 
17.5%
Dash Punctuation 103
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
170
13.5%
150
11.9%
131
10.4%
131
10.4%
131
10.4%
112
 
8.9%
46
 
3.7%
30
 
2.4%
29
 
2.3%
26
 
2.1%
Other values (40) 301
23.9%
Decimal Number
ValueCountFrequency (%)
1 145
29.3%
2 68
13.7%
3 52
 
10.5%
5 51
 
10.3%
6 45
 
9.1%
4 35
 
7.1%
0 28
 
5.7%
7 26
 
5.3%
9 24
 
4.8%
8 21
 
4.2%
Space Separator
ValueCountFrequency (%)
394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1257
55.9%
Common 992
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
170
13.5%
150
11.9%
131
10.4%
131
10.4%
131
10.4%
112
 
8.9%
46
 
3.7%
30
 
2.4%
29
 
2.3%
26
 
2.1%
Other values (40) 301
23.9%
Common
ValueCountFrequency (%)
394
39.7%
1 145
 
14.6%
- 103
 
10.4%
2 68
 
6.9%
3 52
 
5.2%
5 51
 
5.1%
6 45
 
4.5%
4 35
 
3.5%
0 28
 
2.8%
7 26
 
2.6%
Other values (2) 45
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1257
55.9%
ASCII 992
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
39.7%
1 145
 
14.6%
- 103
 
10.4%
2 68
 
6.9%
3 52
 
5.2%
5 51
 
5.1%
6 45
 
4.5%
4 35
 
3.5%
0 28
 
2.8%
7 26
 
2.6%
Other values (2) 45
 
4.5%
Hangul
ValueCountFrequency (%)
170
13.5%
150
11.9%
131
10.4%
131
10.4%
131
10.4%
112
 
8.9%
46
 
3.7%
30
 
2.4%
29
 
2.3%
26
 
2.1%
Other values (40) 301
23.9%

설치형태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
131 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 131
100.0%

Length

2023-12-11T09:06:41.415106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:41.518746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 131
100.0%

설치연월일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2019-01-18 00:00:00
Maximum2019-01-18 00:00:00
2023-12-11T09:06:41.589720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:06:41.699345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

내용물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
제설제
131 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제설제 131
100.0%

Length

2023-12-11T09:06:41.815399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:41.913704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제설제 131
100.0%

염화칼슘(포)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
5
131 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 131
100.0%

Length

2023-12-11T09:06:42.030570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:42.139167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 131
100.0%

삽(개)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
131 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 131
100.0%

Length

2023-12-11T09:06:42.237919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:42.339271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 131
100.0%

모래(킬로그램)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
5
131 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 131
100.0%

Length

2023-12-11T09:06:42.463503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:06:42.557019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 131
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-11-09 00:00:00
Maximum2022-11-09 00:00:00
2023-12-11T09:06:42.640329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:06:42.756449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-11T09:06:38.524823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:06:38.699214image/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

관리기관관리부서관리번호소재지도로명주소소재지지번주소설치형태설치연월일내용물염화칼슘(포)삽(개)모래(킬로그램)데이터기준일자
0경상남도 함안군함안군 산업건설국 건설교통과함안군-1없음함안군 가야읍 도항리 135212019-01-18제설제5152022-11-09
1경상남도 함안군함안군 산업건설국 건설교통과함안군-2없음함안군 가야읍 도항리 135212019-01-18제설제5152022-11-09
2경상남도 함안군함안군 산업건설국 건설교통과함안군-3없음함안군 가야읍 사내리 1223-112019-01-18제설제5152022-11-09
3경상남도 함안군함안군 산업건설국 건설교통과함안군-4없음함안군 가야읍 사내리 산169-512019-01-18제설제5152022-11-09
4경상남도 함안군함안군 산업건설국 건설교통과함안군-5없음함안군 가야읍 춘곡리 산33-112019-01-18제설제5152022-11-09
5경상남도 함안군함안군 산업건설국 건설교통과함안군-6없음함안군 가야읍 춘곡리 산37-112019-01-18제설제5152022-11-09
6경상남도 함안군함안군 산업건설국 건설교통과함안군-7없음함안군 가야읍 춘곡리 산37-112019-01-18제설제5152022-11-09
7경상남도 함안군함안군 산업건설국 건설교통과함안군-8없음함안군 가야읍 춘곡리 780-412019-01-18제설제5152022-11-09
8경상남도 함안군함안군 산업건설국 건설교통과함안군-9없음함안군 가야읍 말산리 20-312019-01-18제설제5152022-11-09
9경상남도 함안군함안군 산업건설국 건설교통과함안군-10없음함안군 가야읍 말산리 26-412019-01-18제설제5152022-11-09
관리기관관리부서관리번호소재지도로명주소소재지지번주소설치형태설치연월일내용물염화칼슘(포)삽(개)모래(킬로그램)데이터기준일자
121경상남도 함안군함안군 산업건설국 건설교통과함안군-122없음함안군 여항면 외암리 630-1212019-01-18제설제5152022-11-09
122경상남도 함안군함안군 산업건설국 건설교통과함안군-123없음함안군 여항면 외암리 630-1212019-01-18제설제5152022-11-09
123경상남도 함안군함안군 산업건설국 건설교통과함안군-124없음함안군 여항면 외암리 82912019-01-18제설제5152022-11-09
124경상남도 함안군함안군 산업건설국 건설교통과함안군-125없음함안군 여항면 외암리 82912019-01-18제설제5152022-11-09
125경상남도 함안군함안군 산업건설국 건설교통과함안군-126없음함안군 여항면 외암리 82912019-01-18제설제5152022-11-09
126경상남도 함안군함안군 산업건설국 건설교통과함안군-127없음함안군 여항면 외암리 산175-112019-01-18제설제5152022-11-09
127경상남도 함안군함안군 산업건설국 건설교통과함안군-128없음함안군 대산면 대사리 산123-212019-01-18제설제5152022-11-09
128경상남도 함안군함안군 산업건설국 건설교통과함안군-129없음함안군 대산면 대사리 산131-112019-01-18제설제5152022-11-09
129경상남도 함안군함안군 산업건설국 건설교통과함안군-130없음함안군 대산면 대사리 산133-112019-01-18제설제5152022-11-09
130경상남도 함안군함안군 산업건설국 건설교통과함안군-131없음함안군 대산면 대사리 산134-112019-01-18제설제5152022-11-09