Overview

Dataset statistics

Number of variables3
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory632.0 B
Average record size in memory30.1 B

Variable types

Text3

Dataset

Description경상남도 밀양시의 2016년 행정기관 연락처 및 주소입니다.
Author경상남도 밀양시
URLhttps://www.data.go.kr/data/15013929/fileData.do

Alerts

기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:22:45.458646
Analysis finished2024-04-20 18:22:46.077032
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-21T03:22:46.632880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.1428571
Min length4

Characters and Unicode

Total characters129
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row밀양시청
2nd row삼랑진읍사무소
3rd row하남읍사무소
4th row부북면사무소
5th row상동면사무소
ValueCountFrequency (%)
밀양시청 1
 
4.8%
청도면사무소 1
 
4.8%
밀양시립도서관 1
 
4.8%
밀양시농업기술센터 1
 
4.8%
밀양시보건소 1
 
4.8%
가곡동사무소 1
 
4.8%
삼문동사무소 1
 
4.8%
교동사무소 1
 
4.8%
내이동사무소 1
 
4.8%
내일동사무소 1
 
4.8%
Other values (11) 11
52.4%
2024-04-21T03:22:47.761934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 17
 
13.2%
무 17
 
13.2%
사 16
 
12.4%
면 9
 
7.0%
동 7
 
5.4%
양 5
 
3.9%
밀 5
 
3.9%
시 5
 
3.9%
내 3
 
2.3%
읍 2
 
1.6%
Other values (35) 43
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 17
 
13.2%
무 17
 
13.2%
사 16
 
12.4%
면 9
 
7.0%
동 7
 
5.4%
양 5
 
3.9%
밀 5
 
3.9%
시 5
 
3.9%
내 3
 
2.3%
읍 2
 
1.6%
Other values (35) 43
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 17
 
13.2%
무 17
 
13.2%
사 16
 
12.4%
면 9
 
7.0%
동 7
 
5.4%
양 5
 
3.9%
밀 5
 
3.9%
시 5
 
3.9%
내 3
 
2.3%
읍 2
 
1.6%
Other values (35) 43
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 17
 
13.2%
무 17
 
13.2%
사 16
 
12.4%
면 9
 
7.0%
동 7
 
5.4%
양 5
 
3.9%
밀 5
 
3.9%
시 5
 
3.9%
내 3
 
2.3%
읍 2
 
1.6%
Other values (35) 43
33.3%

소재지도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-21T03:22:48.523636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.047619
Min length16

Characters and Unicode

Total characters400
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 (%)100.0%

Sample

1st row경상남도 밀양시 밀양대로 2047
2nd row경상남도 밀양시 삼랑진읍 외송중앙길 6
3rd row경상남도 밀양시 하남읍 수산중앙로 53
4th row경상남도 밀양시 부북면 부북로 28
5th row경상남도 밀양시 상동면 상동로 554
ValueCountFrequency (%)
경상남도 21
21.9%
밀양시 21
21.9%
중앙로 3
 
3.1%
100 2
 
2.1%
상남로 2
 
2.1%
상남면 2
 
2.1%
밀양대로 2
 
2.1%
6 1
 
1.0%
하남읍 1
 
1.0%
111 1
 
1.0%
Other values (40) 40
41.7%
2024-04-21T03:22:49.451075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
18.8%
상 27
 
6.8%
남 26
 
6.5%
밀 24
 
6.0%
양 24
 
6.0%
도 23
 
5.8%
경 21
 
5.2%
시 21
 
5.2%
로 18
 
4.5%
1 15
 
3.8%
Other values (42) 126
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
64.5%
Space Separator 75
 
18.8%
Decimal Number 65
 
16.2%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 27
10.5%
남 26
10.1%
밀 24
9.3%
양 24
9.3%
도 23
 
8.9%
경 21
 
8.1%
시 21
 
8.1%
로 18
 
7.0%
면 10
 
3.9%
중 6
 
2.3%
Other values (30) 58
22.5%
Decimal Number
ValueCountFrequency (%)
1 15
23.1%
4 10
15.4%
0 8
12.3%
2 7
10.8%
3 6
 
9.2%
5 6
 
9.2%
6 4
 
6.2%
8 3
 
4.6%
9 3
 
4.6%
7 3
 
4.6%
Space Separator
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
64.5%
Common 142
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 27
10.5%
남 26
10.1%
밀 24
9.3%
양 24
9.3%
도 23
 
8.9%
경 21
 
8.1%
시 21
 
8.1%
로 18
 
7.0%
면 10
 
3.9%
중 6
 
2.3%
Other values (30) 58
22.5%
Common
ValueCountFrequency (%)
75
52.8%
1 15
 
10.6%
4 10
 
7.0%
0 8
 
5.6%
2 7
 
4.9%
3 6
 
4.2%
5 6
 
4.2%
6 4
 
2.8%
8 3
 
2.1%
9 3
 
2.1%
Other values (2) 5
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
64.5%
ASCII 142
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
52.8%
1 15
 
10.6%
4 10
 
7.0%
0 8
 
5.6%
2 7
 
4.9%
3 6
 
4.2%
5 6
 
4.2%
6 4
 
2.8%
8 3
 
2.1%
9 3
 
2.1%
Other values (2) 5
 
3.5%
Hangul
ValueCountFrequency (%)
상 27
10.5%
남 26
10.1%
밀 24
9.3%
양 24
9.3%
도 23
 
8.9%
경 21
 
8.1%
시 21
 
8.1%
로 18
 
7.0%
면 10
 
3.9%
중 6
 
2.3%
Other values (30) 58
22.5%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-21T03:22:50.079910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row055-359-5114
2nd row055-359-5801
3rd row055-359-5802
4th row055-359-5803
5th row055-359-5804
ValueCountFrequency (%)
055-359-5114 1
 
4.8%
055-359-5811 1
 
4.8%
055-359-6036 1
 
4.8%
055-359-7114 1
 
4.8%
055-359-7020 1
 
4.8%
055-359-5816 1
 
4.8%
055-359-5815 1
 
4.8%
055-359-5814 1
 
4.8%
055-359-6863 1
 
4.8%
055-359-5812 1
 
4.8%
Other values (11) 11
52.4%
2024-04-21T03:22:50.882098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 83
32.9%
- 42
16.7%
0 34
13.5%
3 24
 
9.5%
9 23
 
9.1%
8 18
 
7.1%
1 12
 
4.8%
6 6
 
2.4%
4 4
 
1.6%
2 3
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 83
39.5%
0 34
16.2%
3 24
 
11.4%
9 23
 
11.0%
8 18
 
8.6%
1 12
 
5.7%
6 6
 
2.9%
4 4
 
1.9%
2 3
 
1.4%
7 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 83
32.9%
- 42
16.7%
0 34
13.5%
3 24
 
9.5%
9 23
 
9.1%
8 18
 
7.1%
1 12
 
4.8%
6 6
 
2.4%
4 4
 
1.6%
2 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 83
32.9%
- 42
16.7%
0 34
13.5%
3 24
 
9.5%
9 23
 
9.1%
8 18
 
7.1%
1 12
 
4.8%
6 6
 
2.4%
4 4
 
1.6%
2 3
 
1.2%

Correlations

2024-04-21T03:22:51.034408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명소재지도로명주소전화번호
기관명1.0001.0001.000
소재지도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2024-04-21T03:22:45.744855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:22:45.982033image/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

기관명소재지도로명주소전화번호
0밀양시청경상남도 밀양시 밀양대로 2047055-359-5114
1삼랑진읍사무소경상남도 밀양시 삼랑진읍 외송중앙길 6055-359-5801
2하남읍사무소경상남도 밀양시 하남읍 수산중앙로 53055-359-5802
3부북면사무소경상남도 밀양시 부북면 부북로 28055-359-5803
4상동면사무소경상남도 밀양시 상동면 상동로 554055-359-5804
5산외면사무소경상남도 밀양시 산외면 산외로 427055-359-5805
6산내면사무소경상남도 밀양시 산내면 산내로 322055-359-5806
7단장면사무소경상남도 밀양시 단장면 표충로 359055-359-5807
8상남면사무소경상남도 밀양시 상남면 상남로 1031055-359-5808
9초동면사무소경상남도 밀양시 초동면 초동로 111055-359-5809
기관명소재지도로명주소전화번호
11청도면사무소경상남도 밀양시 청도면 청도로 100055-359-5811
12내일동사무소경상남도 밀양시 중앙로 346055-359-5812
13내이동사무소경상남도 밀양시 중앙로 425-4055-359-6863
14교동사무소경상남도 밀양시 교동로 189055-359-5814
15삼문동사무소경상남도 밀양시 밀양대로 1764055-359-5815
16가곡동사무소경상남도 밀양시 가곡14길 4055-359-5816
17밀양시보건소경상남도 밀양시 삼문중앙로 41055-359-7020
18밀양시농업기술센터경상남도 밀양시 상남면 상남로 1008-19055-359-7114
19밀양시립도서관경상남도 밀양시 중앙로 265055-359-6036
20밀양시립박물관경상남도 밀양시 밀양대공원로 100055-359-5589