Overview

Dataset statistics

Number of variables8
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory66.8 B

Variable types

Categorical6
Text2

Dataset

Description충청남도 화학사고 발생 시 신속한 대응체계 구축을 위한 15개 시군 비상연락망 - 기관, 부서, 담당자, 내선번호(사무실, 당직실), 팩스번호(사무실, 당직실)
URLhttps://www.data.go.kr/data/15113155/fileData.do

Alerts

기관명 is highly overall correlated with 부서명 and 3 other fieldsHigh correlation
내선번호(당직실_야간) is highly overall correlated with 기관명 and 3 other fieldsHigh correlation
팩스번호(사무실_주간) is highly overall correlated with 기관명 and 3 other fieldsHigh correlation
부서명 is highly overall correlated with 기관명 and 3 other fieldsHigh correlation
팩스번호(당직실_야간) is highly overall correlated with 기관명 and 3 other fieldsHigh correlation
성명 has unique valuesUnique
내선번호(사무실_주간) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:53:00.374474
Analysis finished2023-12-12 13:53:01.038105
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
충청남도
 
3
천안시
 
3
공주시
 
3
보령시
 
3
아산시
 
3
Other values (11)
33 

Length

Max length4
Median length3
Mean length3.0625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도
2nd row충청남도
3rd row충청남도
4th row천안시
5th row천안시

Common Values

ValueCountFrequency (%)
충청남도 3
 
6.2%
천안시 3
 
6.2%
공주시 3
 
6.2%
보령시 3
 
6.2%
아산시 3
 
6.2%
서산시 3
 
6.2%
논산시 3
 
6.2%
계룡시 3
 
6.2%
당진시 3
 
6.2%
금산군 3
 
6.2%
Other values (6) 18
37.5%

Length

2023-12-12T22:53:01.115658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 3
 
6.2%
천안시 3
 
6.2%
공주시 3
 
6.2%
보령시 3
 
6.2%
아산시 3
 
6.2%
서산시 3
 
6.2%
논산시 3
 
6.2%
계룡시 3
 
6.2%
당진시 3
 
6.2%
금산군 3
 
6.2%
Other values (6) 18
37.5%

부서명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
환경과
12 
환경보호과
9 
환경정책과
6 
환경위생과
6 
환경안전관리과
3 
Other values (4)
12 

Length

Max length7
Median length5
Mean length4.875
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row환경안전관리과
2nd row환경안전관리과
3rd row환경안전관리과
4th row환경정책과
5th row환경정책과

Common Values

ValueCountFrequency (%)
환경과 12
25.0%
환경보호과 9
18.8%
환경정책과 6
12.5%
환경위생과 6
12.5%
환경안전관리과 3
 
6.2%
환경보전과 3
 
6.2%
기후환경대기과 3
 
6.2%
환경관리사업소 3
 
6.2%
환경산림과 3
 
6.2%

Length

2023-12-12T22:53:01.266390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:01.388280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경과 12
25.0%
환경보호과 9
18.8%
환경정책과 6
12.5%
환경위생과 6
12.5%
환경안전관리과 3
 
6.2%
환경보전과 3
 
6.2%
기후환경대기과 3
 
6.2%
환경관리사업소 3
 
6.2%
환경산림과 3
 
6.2%

직위(직급)
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
팀장
16 
주무관
16 
과장
15 
소장
 
1

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row과장
2nd row팀장
3rd row주무관
4th row과장
5th row팀장

Common Values

ValueCountFrequency (%)
팀장 16
33.3%
주무관 16
33.3%
과장 15
31.2%
소장 1
 
2.1%

Length

2023-12-12T22:53:01.532568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:01.635930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
팀장 16
33.3%
주무관 16
33.3%
과장 15
31.2%
소장 1
 
2.1%

성명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T22:53:01.866437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters144
Distinct characters70
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

Unique48 ?
Unique (%)100.0%

Sample

1st row김윤섭
2nd row류광하
3rd row손미진
4th row윤상원
5th row김진식
ValueCountFrequency (%)
김윤섭 1
 
2.1%
류광하 1
 
2.1%
조찬우 1
 
2.1%
최진영 1
 
2.1%
박근희 1
 
2.1%
김성훈 1
 
2.1%
신갑동 1
 
2.1%
조기환 1
 
2.1%
차재승 1
 
2.1%
홍성현 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T22:53:02.340466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
6.2%
이 7
 
4.9%
진 7
 
4.9%
박 7
 
4.9%
종 5
 
3.5%
성 5
 
3.5%
영 4
 
2.8%
미 4
 
2.8%
현 4
 
2.8%
윤 3
 
2.1%
Other values (60) 89
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
6.2%
이 7
 
4.9%
진 7
 
4.9%
박 7
 
4.9%
종 5
 
3.5%
성 5
 
3.5%
영 4
 
2.8%
미 4
 
2.8%
현 4
 
2.8%
윤 3
 
2.1%
Other values (60) 89
61.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
6.2%
이 7
 
4.9%
진 7
 
4.9%
박 7
 
4.9%
종 5
 
3.5%
성 5
 
3.5%
영 4
 
2.8%
미 4
 
2.8%
현 4
 
2.8%
윤 3
 
2.1%
Other values (60) 89
61.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
6.2%
이 7
 
4.9%
진 7
 
4.9%
박 7
 
4.9%
종 5
 
3.5%
성 5
 
3.5%
영 4
 
2.8%
미 4
 
2.8%
현 4
 
2.8%
윤 3
 
2.1%
Other values (60) 89
61.8%

내선번호(사무실_주간)
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T22:53:02.636409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters576
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

Unique48 ?
Unique (%)100.0%

Sample

1st row041-635-2720
2nd row041-635-4431
3rd row041-635-4443
4th row041-521-2330
5th row041-521-2332
ValueCountFrequency (%)
041-635-2720 1
 
2.1%
041-635-4431 1
 
2.1%
041-950-4332 1
 
2.1%
041-360-6752 1
 
2.1%
041-750-2490 1
 
2.1%
041-750-2511 1
 
2.1%
041-750-2513 1
 
2.1%
041-830-2290 1
 
2.1%
041-830-2296 1
 
2.1%
041-830-2299 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T22:53:02.979482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
17.9%
- 96
16.7%
4 87
15.1%
1 70
12.2%
2 49
8.5%
3 45
7.8%
5 37
 
6.4%
6 30
 
5.2%
7 22
 
3.8%
9 21
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 96
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
21.5%
4 87
18.1%
1 70
14.6%
2 49
10.2%
3 45
9.4%
5 37
 
7.7%
6 30
 
6.2%
7 22
 
4.6%
9 21
 
4.4%
8 16
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 103
17.9%
- 96
16.7%
4 87
15.1%
1 70
12.2%
2 49
8.5%
3 45
7.8%
5 37
 
6.4%
6 30
 
5.2%
7 22
 
3.8%
9 21
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
17.9%
- 96
16.7%
4 87
15.1%
1 70
12.2%
2 49
8.5%
3 45
7.8%
5 37
 
6.4%
6 30
 
5.2%
7 22
 
3.8%
9 21
 
3.6%

팩스번호(사무실_주간)
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
041-635-3065
 
3
041-521-2339
 
3
041-840-3736
 
3
041-930-3659
 
3
041-540-2328
 
3
Other values (11)
33 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-635-3065
2nd row041-635-3065
3rd row041-635-3065
4th row041-521-2339
5th row041-521-2339

Common Values

ValueCountFrequency (%)
041-635-3065 3
 
6.2%
041-521-2339 3
 
6.2%
041-840-3736 3
 
6.2%
041-930-3659 3
 
6.2%
041-540-2328 3
 
6.2%
041-660-2748 3
 
6.2%
041-746-5519 3
 
6.2%
042-840-2459 3
 
6.2%
041-360-6769 3
 
6.2%
041-751-6291 3
 
6.2%
Other values (6) 18
37.5%

Length

2023-12-12T22:53:03.126973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-635-3065 3
 
6.2%
041-521-2339 3
 
6.2%
041-840-3736 3
 
6.2%
041-930-3659 3
 
6.2%
041-540-2328 3
 
6.2%
041-660-2748 3
 
6.2%
041-746-5519 3
 
6.2%
042-840-2459 3
 
6.2%
041-360-6769 3
 
6.2%
041-751-6291 3
 
6.2%
Other values (6) 18
37.5%

내선번호(당직실_야간)
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
041-635-2222
 
3
041-521-2222
 
3
041-840-2222
 
3
041-930-3222
 
3
041-540-2222
 
3
Other values (12)
33 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row041-635-2222
2nd row041-635-2222
3rd row041-635-2222
4th row041-521-2222
5th row041-521-2222

Common Values

ValueCountFrequency (%)
041-635-2222 3
 
6.2%
041-521-2222 3
 
6.2%
041-840-2222 3
 
6.2%
041-930-3222 3
 
6.2%
041-540-2222 3
 
6.2%
041-660-2222 3
 
6.2%
041-746-5700 3
 
6.2%
042-840-2222 3
 
6.2%
041-670-2114 3
 
6.2%
041-750-2222 3
 
6.2%
Other values (7) 18
37.5%

Length

2023-12-12T22:53:03.255826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-635-2222 3
 
6.2%
041-521-2222 3
 
6.2%
041-339-7222 3
 
6.2%
041-630-1114 3
 
6.2%
041-940-2222 3
 
6.2%
041-950-4444 3
 
6.2%
041-830-2840 3
 
6.2%
041-750-2222 3
 
6.2%
041-670-2114 3
 
6.2%
042-840-2222 3
 
6.2%
Other values (7) 18
37.5%

팩스번호(당직실_야간)
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
041-635-3000
 
3
041-521-2339
 
3
041-840-2362
 
3
041-930-3339
 
3
041-540-2328
 
3
Other values (11)
33 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-635-3000
2nd row041-635-3000
3rd row041-635-3000
4th row041-521-2339
5th row041-521-2339

Common Values

ValueCountFrequency (%)
041-635-3000 3
 
6.2%
041-521-2339 3
 
6.2%
041-840-2362 3
 
6.2%
041-930-3339 3
 
6.2%
041-540-2328 3
 
6.2%
041-660-2229 3
 
6.2%
041-746-5519 3
 
6.2%
042-840-2229 3
 
6.2%
041-350-3699 3
 
6.2%
041-751-6291 3
 
6.2%
Other values (6) 18
37.5%

Length

2023-12-12T22:53:03.360890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-635-3000 3
 
6.2%
041-521-2339 3
 
6.2%
041-840-2362 3
 
6.2%
041-930-3339 3
 
6.2%
041-540-2328 3
 
6.2%
041-660-2229 3
 
6.2%
041-746-5519 3
 
6.2%
042-840-2229 3
 
6.2%
041-350-3699 3
 
6.2%
041-751-6291 3
 
6.2%
Other values (6) 18
37.5%

Correlations

2023-12-12T22:53:03.438310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명부서명직위(직급)성명내선번호(사무실_주간)팩스번호(사무실_주간)내선번호(당직실_야간)팩스번호(당직실_야간)
기관명1.0001.0000.0001.0001.0001.0001.0001.000
부서명1.0001.0000.0001.0001.0001.0001.0001.000
직위(직급)0.0000.0001.0001.0001.0000.0000.0000.000
성명1.0001.0001.0001.0001.0001.0001.0001.000
내선번호(사무실_주간)1.0001.0001.0001.0001.0001.0001.0001.000
팩스번호(사무실_주간)1.0001.0000.0001.0001.0001.0001.0001.000
내선번호(당직실_야간)1.0001.0000.0001.0001.0001.0001.0001.000
팩스번호(당직실_야간)1.0001.0000.0001.0001.0001.0001.0001.000
2023-12-12T22:53:03.552451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명내선번호(당직실_야간)팩스번호(사무실_주간)부서명팩스번호(당직실_야간)직위(직급)
기관명1.0000.9841.0000.9061.0000.000
내선번호(당직실_야간)0.9841.0000.9840.8920.9840.000
팩스번호(사무실_주간)1.0000.9841.0000.9061.0000.000
부서명0.9060.8920.9061.0000.9060.000
팩스번호(당직실_야간)1.0000.9841.0000.9061.0000.000
직위(직급)0.0000.0000.0000.0000.0001.000
2023-12-12T22:53:03.678379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명부서명직위(직급)팩스번호(사무실_주간)내선번호(당직실_야간)팩스번호(당직실_야간)
기관명1.0000.9060.0001.0000.9841.000
부서명0.9061.0000.0000.9060.8920.906
직위(직급)0.0000.0001.0000.0000.0000.000
팩스번호(사무실_주간)1.0000.9060.0001.0000.9841.000
내선번호(당직실_야간)0.9840.8920.0000.9841.0000.984
팩스번호(당직실_야간)1.0000.9060.0001.0000.9841.000

Missing values

2023-12-12T22:53:00.828544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:53:00.982841image/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

기관명부서명직위(직급)성명내선번호(사무실_주간)팩스번호(사무실_주간)내선번호(당직실_야간)팩스번호(당직실_야간)
0충청남도환경안전관리과과장김윤섭041-635-2720041-635-3065041-635-2222041-635-3000
1충청남도환경안전관리과팀장류광하041-635-4431041-635-3065041-635-2222041-635-3000
2충청남도환경안전관리과주무관손미진041-635-4443041-635-3065041-635-2222041-635-3000
3천안시환경정책과과장윤상원041-521-2330041-521-2339041-521-2222041-521-2339
4천안시환경정책과팀장김진식041-521-2332041-521-2339041-521-2222041-521-2339
5천안시환경정책과주무관신정현041-521-5437041-521-2339041-521-2222041-521-2339
6공주시환경보호과과장홍석종041-840-8521041-840-3736041-840-2222041-840-2362
7공주시환경보호과팀장이진석041-840-8531041-840-3736041-840-2222041-840-2362
8공주시환경보호과주무관장동희041-840-8514041-840-3736041-840-2222041-840-2362
9보령시환경보호과과장이연헌041-930-3650041-930-3659041-930-3222041-930-3339
기관명부서명직위(직급)성명내선번호(사무실_주간)팩스번호(사무실_주간)내선번호(당직실_야간)팩스번호(당직실_야간)
38청양군환경정책과주무관김하일041-940-2243041-940-2239041-940-2222041-940-2420
39홍성군환경과과장유철식041-630-1220041-630-1421041-630-1114041-630-1421
40홍성군환경과팀장김성현041-630-1831041-630-1421041-630-1114041-630-1421
41홍성군환경과주무관이대영041-630-1456041-630-1421041-630-1114041-630-1421
42예산군환경과과장이종선041-339-7500041-339-7509041-339-7222041-339-7509
43예산군환경과팀장임지수041-339-7511041-339-7509041-339-7222041-339-7509
44예산군환경과주무관박형배041-339-7512041-339-7509041-339-7222041-339-7509
45태안군환경산림과과장이종진041-670-2340041-670-1522041-670-2114041-670-1569
46태안군환경산림과팀장박태순041-670-2153041-670-1522041-670-2114041-670-1569
47태안군환경산림과주무관문영수041-670-2792041-670-1522041-670-2114041-670-1569