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

Categorical10
Text2

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://www.data.go.kr/data/15107937/fileData.do

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 started2023-12-12 10:21:11.154044
Analysis finished2023-12-12 10:21:11.915681
Duration0.76 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

2023-12-12T19:21:11.983235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:12.107572image/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

2023-12-12T19:21:12.240213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:12.339268image/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
2023-12-12T19:21:12.666757image/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%
2023-12-12T19:21:13.168355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
함 131
16.2%
안 131
16.2%
군 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 (%)
함 131
33.3%
안 131
33.3%
군 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 (%)
함 131
33.3%
안 131
33.3%
군 131
33.3%

Most occurring blocks

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

Most frequent character per block

Hangul
ValueCountFrequency (%)
함 131
33.3%
안 131
33.3%
군 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

2023-12-12T19:21:13.370389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:13.509664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 131
100.0%

소재지지번주소
Text

Distinct81
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T19:21:13.791378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length22.167939
Min length20

Characters and Unicode

Total characters2904
Distinct characters64
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 row경상남도 함안군 가야읍 도항리 1352
2nd row경상남도 함안군 가야읍 도항리 1352
3rd row경상남도 함안군 가야읍 사내리 1223-1
4th row경상남도 함안군 가야읍 사내리 산169-5
5th row경상남도 함안군 가야읍 춘곡리 산33-1
ValueCountFrequency (%)
경상남도 131
20.0%
함안군 131
20.0%
산인면 46
 
7.0%
신산리 30
 
4.6%
여항면 21
 
3.2%
군북면 19
 
2.9%
대산면 14
 
2.1%
외암리 13
 
2.0%
대사리 12
 
1.8%
모로리 12
 
1.8%
Other values (103) 226
34.5%
2023-12-12T19:21:14.265226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
525
18.1%
산 170
 
5.9%
군 150
 
5.2%
1 145
 
5.0%
도 136
 
4.7%
남 134
 
4.6%
경 131
 
4.5%
상 131
 
4.5%
리 131
 
4.5%
안 131
 
4.5%
Other values (54) 1120
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1781
61.3%
Space Separator 525
 
18.1%
Decimal Number 495
 
17.0%
Dash Punctuation 103
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 170
9.5%
군 150
 
8.4%
도 136
 
7.6%
남 134
 
7.5%
경 131
 
7.4%
상 131
 
7.4%
리 131
 
7.4%
안 131
 
7.4%
함 131
 
7.4%
면 112
 
6.3%
Other values (42) 424
23.8%
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 (%)
525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1781
61.3%
Common 1123
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 170
9.5%
군 150
 
8.4%
도 136
 
7.6%
남 134
 
7.5%
경 131
 
7.4%
상 131
 
7.4%
리 131
 
7.4%
안 131
 
7.4%
함 131
 
7.4%
면 112
 
6.3%
Other values (42) 424
23.8%
Common
ValueCountFrequency (%)
525
46.7%
1 145
 
12.9%
- 103
 
9.2%
2 68
 
6.1%
3 52
 
4.6%
5 51
 
4.5%
6 45
 
4.0%
4 35
 
3.1%
0 28
 
2.5%
7 26
 
2.3%
Other values (2) 45
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1781
61.3%
ASCII 1123
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
525
46.7%
1 145
 
12.9%
- 103
 
9.2%
2 68
 
6.1%
3 52
 
4.6%
5 51
 
4.5%
6 45
 
4.0%
4 35
 
3.1%
0 28
 
2.5%
7 26
 
2.3%
Other values (2) 45
 
4.0%
Hangul
ValueCountFrequency (%)
산 170
9.5%
군 150
 
8.4%
도 136
 
7.6%
남 134
 
7.5%
경 131
 
7.4%
상 131
 
7.4%
리 131
 
7.4%
안 131
 
7.4%
함 131
 
7.4%
면 112
 
6.3%
Other values (42) 424
23.8%

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

2023-12-12T19:21:14.409826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:14.509321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 131
100.0%

설치연월일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2019-01-18
131 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01-18
2nd row2019-01-18
3rd row2019-01-18
4th row2019-01-18
5th row2019-01-18

Common Values

ValueCountFrequency (%)
2019-01-18 131
100.0%

Length

2023-12-12T19:21:14.621883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:14.716262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-01-18 131
100.0%

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

2023-12-12T19:21:14.846822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:14.979225image/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

2023-12-12T19:21:15.100679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:15.315656image/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

2023-12-12T19:21:15.422764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:15.538308image/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

2023-12-12T19:21:15.701070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:15.829642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 131
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-11-08
131 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-08
2nd row2023-11-08
3rd row2023-11-08
4th row2023-11-08
5th row2023-11-08

Common Values

ValueCountFrequency (%)
2023-11-08 131
100.0%

Length

2023-12-12T19:21:15.976274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:16.109744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-08 131
100.0%

Missing values

2023-12-12T19:21:11.378639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:21:11.838259image/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-1없음경상남도 함안군 가야읍 도항리 135212019-01-18제설제5152023-11-08
1경상남도 함안군함안군 산업건설국 건설교통과함안군-2없음경상남도 함안군 가야읍 도항리 135212019-01-18제설제5152023-11-08
2경상남도 함안군함안군 산업건설국 건설교통과함안군-3없음경상남도 함안군 가야읍 사내리 1223-112019-01-18제설제5152023-11-08
3경상남도 함안군함안군 산업건설국 건설교통과함안군-4없음경상남도 함안군 가야읍 사내리 산169-512019-01-18제설제5152023-11-08
4경상남도 함안군함안군 산업건설국 건설교통과함안군-5없음경상남도 함안군 가야읍 춘곡리 산33-112019-01-18제설제5152023-11-08
5경상남도 함안군함안군 산업건설국 건설교통과함안군-6없음경상남도 함안군 가야읍 춘곡리 산37-112019-01-18제설제5152023-11-08
6경상남도 함안군함안군 산업건설국 건설교통과함안군-7없음경상남도 함안군 가야읍 춘곡리 산37-112019-01-18제설제5152023-11-08
7경상남도 함안군함안군 산업건설국 건설교통과함안군-8없음경상남도 함안군 가야읍 춘곡리 780-412019-01-18제설제5152023-11-08
8경상남도 함안군함안군 산업건설국 건설교통과함안군-9없음경상남도 함안군 가야읍 말산리 20-312019-01-18제설제5152023-11-08
9경상남도 함안군함안군 산업건설국 건설교통과함안군-10없음경상남도 함안군 가야읍 말산리 26-412019-01-18제설제5152023-11-08
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121경상남도 함안군함안군 산업건설국 건설교통과함안군-122없음경상남도 함안군 여항면 외암리 630-1212019-01-18제설제5152023-11-08
122경상남도 함안군함안군 산업건설국 건설교통과함안군-123없음경상남도 함안군 여항면 외암리 630-1212019-01-18제설제5152023-11-08
123경상남도 함안군함안군 산업건설국 건설교통과함안군-124없음경상남도 함안군 여항면 외암리 82912019-01-18제설제5152023-11-08
124경상남도 함안군함안군 산업건설국 건설교통과함안군-125없음경상남도 함안군 여항면 외암리 82912019-01-18제설제5152023-11-08
125경상남도 함안군함안군 산업건설국 건설교통과함안군-126없음경상남도 함안군 여항면 외암리 82912019-01-18제설제5152023-11-08
126경상남도 함안군함안군 산업건설국 건설교통과함안군-127없음경상남도 함안군 여항면 외암리 산175-112019-01-18제설제5152023-11-08
127경상남도 함안군함안군 산업건설국 건설교통과함안군-128없음경상남도 함안군 대산면 대사리 산123-212019-01-18제설제5152023-11-08
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129경상남도 함안군함안군 산업건설국 건설교통과함안군-130없음경상남도 함안군 대산면 대사리 산133-112019-01-18제설제5152023-11-08
130경상남도 함안군함안군 산업건설국 건설교통과함안군-131없음경상남도 함안군 대산면 대사리 산134-112019-01-18제설제5152023-11-08