Overview

Dataset statistics

Number of variables4
Number of observations41
Missing cells15
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory35.2 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 재해대책기관의 명칭과 전화번호 팩스번호가 적혀있는 데이터로 인천시청, 수도권 기상청, 경찰청, 해양 경철서 등의 전화번호를 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15121721&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
팩스번호 has 15 (36.6%) missing valuesMissing
기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:35:22.266617
Analysis finished2024-01-28 11:35:22.528798
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T20:35:22.653381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.536585
Min length5

Characters and Unicode

Total characters432
Distinct characters89
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

Unique41 ?
Unique (%)100.0%

Sample

1st row인천광역시 총무과
2nd row인천광역시 자연재난과
3rd row인천광역시 사회재난과
4th row인천광역시 도로과
5th row인천광역시 수질하천과
ValueCountFrequency (%)
인천광역시 25
36.8%
총무과 1
 
1.5%
자치행정과 1
 
1.5%
공보담당관 1
 
1.5%
수도권기상청(예보 1
 
1.5%
인천소방본부(종합상황실 1
 
1.5%
수도권기상청 1
 
1.5%
예보과 1
 
1.5%
인천경찰청(상황실 1
 
1.5%
인천해양경찰서 1
 
1.5%
Other values (34) 34
50.0%
2024-01-28T20:35:22.934438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 39
 
9.0%
인 38
 
8.8%
27
 
6.2%
시 26
 
6.0%
광 25
 
5.8%
역 25
 
5.8%
과 22
 
5.1%
) 11
 
2.5%
( 11
 
2.5%
상 7
 
1.6%
Other values (79) 201
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
88.7%
Space Separator 27
 
6.2%
Close Punctuation 11
 
2.5%
Open Punctuation 11
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 39
 
10.2%
인 38
 
9.9%
시 26
 
6.8%
광 25
 
6.5%
역 25
 
6.5%
과 22
 
5.7%
상 7
 
1.8%
정 7
 
1.8%
사 7
 
1.8%
책 6
 
1.6%
Other values (76) 181
47.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
88.7%
Common 49
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 39
 
10.2%
인 38
 
9.9%
시 26
 
6.8%
광 25
 
6.5%
역 25
 
6.5%
과 22
 
5.7%
상 7
 
1.8%
정 7
 
1.8%
사 7
 
1.8%
책 6
 
1.6%
Other values (76) 181
47.3%
Common
ValueCountFrequency (%)
27
55.1%
) 11
22.4%
( 11
22.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
88.7%
ASCII 49
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 39
 
10.2%
인 38
 
9.9%
시 26
 
6.8%
광 25
 
6.5%
역 25
 
6.5%
과 22
 
5.7%
상 7
 
1.8%
정 7
 
1.8%
사 7
 
1.8%
책 6
 
1.6%
Other values (76) 181
47.3%
ASCII
ValueCountFrequency (%)
27
55.1%
) 11
22.4%
( 11
22.4%

전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-28T20:35:23.114458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.097561
Min length12

Characters and Unicode

Total characters496
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row032-440-2509
2nd row032-440-3352~4
3rd row032-440-1842
4th row032-440-3783
5th row032-440-3626
ValueCountFrequency (%)
032-440-2509 1
 
2.4%
032-440-3562 1
 
2.4%
032-440-2443 1
 
2.4%
032-440-3066 1
 
2.4%
070-7850-8222 1
 
2.4%
032-870-3139 1
 
2.4%
070-7850-8242 1
 
2.4%
032-455-2129 1
 
2.4%
032-650-2542 1
 
2.4%
032-761-9969 1
 
2.4%
Other values (31) 31
75.6%
2024-01-28T20:35:23.406088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
16.7%
- 82
16.5%
4 77
15.5%
3 73
14.7%
2 72
14.5%
5 26
 
5.2%
8 21
 
4.2%
7 19
 
3.8%
6 15
 
3.0%
1 14
 
2.8%
Other values (2) 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 413
83.3%
Dash Punctuation 82
 
16.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
20.1%
4 77
18.6%
3 73
17.7%
2 72
17.4%
5 26
 
6.3%
8 21
 
5.1%
7 19
 
4.6%
6 15
 
3.6%
1 14
 
3.4%
9 13
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
16.7%
- 82
16.5%
4 77
15.5%
3 73
14.7%
2 72
14.5%
5 26
 
5.2%
8 21
 
4.2%
7 19
 
3.8%
6 15
 
3.0%
1 14
 
2.8%
Other values (2) 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
16.7%
- 82
16.5%
4 77
15.5%
3 73
14.7%
2 72
14.5%
5 26
 
5.2%
8 21
 
4.2%
7 19
 
3.8%
6 15
 
3.0%
1 14
 
2.8%
Other values (2) 14
 
2.8%

팩스번호
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing15
Missing (%)36.6%
Memory size460.0 B
2024-01-28T20:35:23.574509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row032-440-8677
2nd row032-440-8850
3rd row032-440-8757
4th row032-440-8672
5th row032-440-8686
ValueCountFrequency (%)
032-440-8850 1
 
3.8%
032-440-8757 1
 
3.8%
032-440-8662 1
 
3.8%
032-440-8621 1
 
3.8%
032-440-8645 1
 
3.8%
032-440-8701 1
 
3.8%
032-440-8684 1
 
3.8%
032-440-8657 1
 
3.8%
032-440-8688 1
 
3.8%
032-440-8689 1
 
3.8%
Other values (16) 16
61.5%
2024-01-28T20:35:23.820291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56
17.9%
4 54
17.3%
- 52
16.7%
8 38
12.2%
3 29
9.3%
2 29
9.3%
6 24
7.7%
7 13
 
4.2%
5 6
 
1.9%
1 6
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
21.5%
4 54
20.8%
8 38
14.6%
3 29
11.2%
2 29
11.2%
6 24
9.2%
7 13
 
5.0%
5 6
 
2.3%
1 6
 
2.3%
9 5
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56
17.9%
4 54
17.3%
- 52
16.7%
8 38
12.2%
3 29
9.3%
2 29
9.3%
6 24
7.7%
7 13
 
4.2%
5 6
 
1.9%
1 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56
17.9%
4 54
17.3%
- 52
16.7%
8 38
12.2%
3 29
9.3%
2 29
9.3%
6 24
7.7%
7 13
 
4.2%
5 6
 
1.9%
1 6
 
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-08-30
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-30
2nd row2023-08-30
3rd row2023-08-30
4th row2023-08-30
5th row2023-08-30

Common Values

ValueCountFrequency (%)
2023-08-30 41
100.0%

Length

2024-01-28T20:35:23.920221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:35:23.989539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-30 41
100.0%

Correlations

2024-01-28T20:35:24.034792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명전화번호팩스번호
기관명1.0001.0001.000
전화번호1.0001.0001.000
팩스번호1.0001.0001.000

Missing values

2024-01-28T20:35:22.417126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:35:22.496931image/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

기관명전화번호팩스번호데이터기준일자
0인천광역시 총무과032-440-2509032-440-86772023-08-30
1인천광역시 자연재난과032-440-3352~4032-440-88502023-08-30
2인천광역시 사회재난과032-440-1842032-440-87572023-08-30
3인천광역시 도로과032-440-3783032-440-86722023-08-30
4인천광역시 수질하천과032-440-3626032-440-86862023-08-30
5인천광역시 하수과032-440-3698032-440-86972023-08-30
6인천광역시 녹지정책과032-440-3682032-440-86872023-08-30
7인천광역시 수산과032-440-4855032-440-86902023-08-30
8인천광역시 농축산과032-440-4366032-440-86632023-08-30
9인천광역시 안전상황실032-440-5737032-440-88452023-08-30
기관명전화번호팩스번호데이터기준일자
31인천시 교육청032-420-8343<NA>2023-08-30
32한국도로공사(인천지사)02-2084-1141<NA>2023-08-30
33한국전력공사(인천본부)032-520-7185<NA>2023-08-30
34한국가스안전공사(인천본부)032-420-3154<NA>2023-08-30
35대한적십자사(인천지사)032-810-1332<NA>2023-08-30
36재해구호협회02-3272-0123<NA>2023-08-30
37인천경찰청(재난구조)032-455-2261<NA>2023-08-30
38인천경찰청(교통통제)032-455-2749<NA>2023-08-30
39대한건설기계협회(인천지회)032-882-3350<NA>2023-08-30
40대한건설협회(인천지회)032-439-7272<NA>2023-08-30