Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells12
Missing cells (%)8.9%
Duplicate rows1
Duplicate rows (%)3.7%
Total size in memory1.2 KiB
Average record size in memory44.9 B

Variable types

Text4
Categorical1

Dataset

Description대규모 재난발생 시 긴급구조활동 등 재난대응업무의 원할한 협력을 위하여 구성하는 대전광역시 긴급대응기관 협의회임 (연번,기관명,직위,부서,직위 순으로 데이터 작성)
Author대전광역시
URLhttps://www.data.go.kr/data/15081101/fileData.do

Alerts

Dataset has 1 (3.7%) duplicate rowsDuplicates
Unnamed: 0 has 3 (11.1%) missing valuesMissing
Unnamed: 1 has 3 (11.1%) missing valuesMissing
Unnamed: 2 has 3 (11.1%) missing valuesMissing
Unnamed: 3 has 3 (11.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:01:15.668447
Analysis finished2023-12-12 14:01:16.237426
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-12T23:01:16.347714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.625
Min length1

Characters and Unicode

Total characters39
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row연번
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
1 1
 
4.2%
2 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
16 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T23:01:16.661855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
33.3%
2 7
17.9%
3 3
 
7.7%
4 2
 
5.1%
5 2
 
5.1%
6 2
 
5.1%
7 2
 
5.1%
8 2
 
5.1%
9 2
 
5.1%
0 2
 
5.1%
Other values (2) 2
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
94.9%
Other Letter 2
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
35.1%
2 7
18.9%
3 3
 
8.1%
4 2
 
5.4%
5 2
 
5.4%
6 2
 
5.4%
7 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%
0 2
 
5.4%
Other Letter
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37
94.9%
Hangul 2
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
35.1%
2 7
18.9%
3 3
 
8.1%
4 2
 
5.4%
5 2
 
5.4%
6 2
 
5.4%
7 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%
0 2
 
5.4%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
94.9%
Hangul 2
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
35.1%
2 7
18.9%
3 3
 
8.1%
4 2
 
5.4%
5 2
 
5.4%
6 2
 
5.4%
7 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%
0 2
 
5.4%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Unnamed: 1
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-12T23:01:16.874897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length11.333333
Min length3

Characters and Unicode

Total characters272
Distinct characters81
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row기관명
2nd row대전광역시 소방본부
3rd row대전광역시경찰청
4th row충청남도경찰청(항공대)
5th row제32보병사단
ValueCountFrequency (%)
대전광역시 2
 
5.3%
권역응급의료센터 2
 
5.3%
소방본부 2
 
5.3%
충남충북광역본부 1
 
2.6%
㈜kt 1
 
2.6%
건양대학교병원 1
 
2.6%
대전응급의료지원센터 1
 
2.6%
국립중앙의료원 1
 
2.6%
한국전력공사 1
 
2.6%
한국가스안전공사 1
 
2.6%
Other values (25) 25
65.8%
2023-12-12T23:01:17.236816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 19
 
7.0%
전 17
 
6.2%
14
 
5.1%
사 12
 
4.4%
역 11
 
4.0%
공 10
 
3.7%
청 9
 
3.3%
지 9
 
3.3%
본 9
 
3.3%
부 9
 
3.3%
Other values (71) 153
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
92.3%
Space Separator 14
 
5.1%
Uppercase Letter 2
 
0.7%
Decimal Number 2
 
0.7%
Other Symbol 1
 
0.4%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 19
 
7.6%
전 17
 
6.8%
사 12
 
4.8%
역 11
 
4.4%
공 10
 
4.0%
청 9
 
3.6%
지 9
 
3.6%
본 9
 
3.6%
부 9
 
3.6%
국 9
 
3.6%
Other values (63) 137
54.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
92.6%
Common 18
 
6.6%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 19
 
7.5%
전 17
 
6.7%
사 12
 
4.8%
역 11
 
4.4%
공 10
 
4.0%
청 9
 
3.6%
지 9
 
3.6%
본 9
 
3.6%
부 9
 
3.6%
국 9
 
3.6%
Other values (64) 138
54.8%
Common
ValueCountFrequency (%)
14
77.8%
( 1
 
5.6%
) 1
 
5.6%
3 1
 
5.6%
2 1
 
5.6%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
92.3%
ASCII 20
 
7.4%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 19
 
7.6%
전 17
 
6.8%
사 12
 
4.8%
역 11
 
4.4%
공 10
 
4.0%
청 9
 
3.6%
지 9
 
3.6%
본 9
 
3.6%
부 9
 
3.6%
국 9
 
3.6%
Other values (63) 137
54.6%
ASCII
ValueCountFrequency (%)
14
70.0%
K 1
 
5.0%
T 1
 
5.0%
( 1
 
5.0%
) 1
 
5.0%
3 1
 
5.0%
2 1
 
5.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct15
Distinct (%)62.5%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-12T23:01:17.420940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.4583333
Min length2

Characters and Unicode

Total characters83
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)54.2%

Sample

1st row직 위
2nd row소방본부장 직무대리
3rd row청장
4th row항공대장
5th row사단장
ValueCountFrequency (%)
본부장 7
26.9%
청장 4
15.4%
단장 1
 
3.8%
병원장 1
 
3.8%
센터장 1
 
3.8%
원장직무대행 1
 
3.8%
지사회장 1
 
3.8%
지사장 1
 
3.8%
사장 1
 
3.8%
학교장 1
 
3.8%
Other values (7) 7
26.9%
2023-12-12T23:01:17.802742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 23
27.7%
본 8
 
9.6%
부 8
 
9.6%
사 5
 
6.0%
대 4
 
4.8%
청 4
 
4.8%
직 3
 
3.6%
원 2
 
2.4%
지 2
 
2.4%
단 2
 
2.4%
Other values (20) 22
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
97.6%
Space Separator 2
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 23
28.4%
본 8
 
9.9%
부 8
 
9.9%
사 5
 
6.2%
대 4
 
4.9%
청 4
 
4.9%
직 3
 
3.7%
원 2
 
2.5%
지 2
 
2.5%
단 2
 
2.5%
Other values (19) 20
24.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
97.6%
Common 2
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 23
28.4%
본 8
 
9.9%
부 8
 
9.9%
사 5
 
6.2%
대 4
 
4.9%
청 4
 
4.9%
직 3
 
3.7%
원 2
 
2.5%
지 2
 
2.5%
단 2
 
2.5%
Other values (19) 20
24.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
97.6%
ASCII 2
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 23
28.4%
본 8
 
9.9%
부 8
 
9.9%
사 5
 
6.2%
대 4
 
4.9%
청 4
 
4.9%
직 3
 
3.7%
원 2
 
2.5%
지 2
 
2.5%
단 2
 
2.5%
Other values (19) 20
24.7%
ASCII
ValueCountFrequency (%)
2
100.0%

Unnamed: 3
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-12T23:01:18.024534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length5.0833333
Min length3

Characters and Unicode

Total characters122
Distinct characters58
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row부 서
2nd row대전소방본부
3rd row경비교통과
4th row경비교통과
5th row군수참모처
ValueCountFrequency (%)
경비교통과 2
 
8.0%
군수참모처 1
 
4.0%
안전환경부 1
 
4.0%
화재대응조사과 1
 
4.0%
cs품질개선팀 1
 
4.0%
응급의학과 1
 
4.0%
대전응급의료지원센터 1
 
4.0%
재난안전팀 1
 
4.0%
구호복지팀 1
 
4.0%
운영부 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T23:01:18.421463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 9
 
7.4%
부 8
 
6.6%
안 7
 
5.7%
과 6
 
4.9%
처 4
 
3.3%
팀 4
 
3.3%
원 4
 
3.3%
지 4
 
3.3%
경 4
 
3.3%
응 3
 
2.5%
Other values (48) 69
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
96.7%
Uppercase Letter 2
 
1.6%
Space Separator 1
 
0.8%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 9
 
7.6%
부 8
 
6.8%
안 7
 
5.9%
과 6
 
5.1%
처 4
 
3.4%
팀 4
 
3.4%
원 4
 
3.4%
지 4
 
3.4%
경 4
 
3.4%
응 3
 
2.5%
Other values (44) 65
55.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118
96.7%
Latin 2
 
1.6%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 9
 
7.6%
부 8
 
6.8%
안 7
 
5.9%
과 6
 
5.1%
처 4
 
3.4%
팀 4
 
3.4%
원 4
 
3.4%
지 4
 
3.4%
경 4
 
3.4%
응 3
 
2.5%
Other values (44) 65
55.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Common
ValueCountFrequency (%)
1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118
96.7%
ASCII 4
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 9
 
7.6%
부 8
 
6.8%
안 7
 
5.9%
과 6
 
5.1%
처 4
 
3.4%
팀 4
 
3.4%
원 4
 
3.4%
지 4
 
3.4%
경 4
 
3.4%
응 3
 
2.5%
Other values (44) 65
55.1%
ASCII
ValueCountFrequency (%)
C 1
25.0%
S 1
25.0%
1
25.0%
2 1
25.0%

Unnamed: 4
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
긴급구조지원기관
21 
<NA>
3 
비 고
 
1
긴급구조기관
 
1
간사
 
1

Length

Max length8
Median length8
Mean length7.0740741
Min length2

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row비 고
2nd row긴급구조기관
3rd row긴급구조지원기관
4th row긴급구조지원기관
5th row긴급구조지원기관

Common Values

ValueCountFrequency (%)
긴급구조지원기관 21
77.8%
<NA> 3
 
11.1%
비 고 1
 
3.7%
긴급구조기관 1
 
3.7%
간사 1
 
3.7%

Length

2023-12-12T23:01:18.605815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:18.734195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
긴급구조지원기관 21
75.0%
na 3
 
10.7%
비 1
 
3.6%
고 1
 
3.6%
긴급구조기관 1
 
3.6%
간사 1
 
3.6%

Correlations

2023-12-12T23:01:18.849416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
Unnamed: 01.0001.0001.0001.0001.000
Unnamed: 11.0001.0000.7890.9860.000
Unnamed: 21.0000.7891.0000.9461.000
Unnamed: 31.0000.9860.9461.0001.000
Unnamed: 41.0000.0001.0001.0001.000

Missing values

2023-12-12T23:01:15.957555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:01:16.060322image/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.
2023-12-12T23:01:16.171625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
0연번기관명직 위부 서비 고
11대전광역시 소방본부소방본부장 직무대리대전소방본부긴급구조기관
22대전광역시경찰청청장경비교통과긴급구조지원기관
33충청남도경찰청(항공대)항공대장경비교통과긴급구조지원기관
44제32보병사단사단장군수참모처긴급구조지원기관
55육군항공학교학교장지원처긴급구조지원기관
66계룡대근무지원단단장군수처긴급구조지원기관
77대전지방국토관리청청장건설안전과긴급구조지원기관
88금강유역환경청청장화학안전관리단긴급구조지원기관
99대전지방기상청청장예보과긴급구조지원기관
Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
1717한국수자원공사 대청댐지사지사장운영부긴급구조지원기관
1818대한적십자사 대전세종지사지사회장구호복지팀긴급구조지원기관
1919충남대학교병원 권역응급의료센터원장직무대행재난안전팀긴급구조지원기관
2020국립중앙의료원 대전응급의료지원센터센터장대전응급의료지원센터긴급구조지원기관
2121건양대학교병원 권역응급의료센터병원장응급의학과긴급구조지원기관
2222㈜KT 충남충북광역본부본부장CS품질개선팀긴급구조지원기관
2323대전광역시 소방본부화재대응조사과장화재대응조사과간사
24<NA><NA><NA><NA><NA>
25<NA><NA><NA><NA><NA>
26<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4# duplicates
0<NA><NA><NA><NA><NA>3