Overview

Dataset statistics

Number of variables3
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory24.8 B

Variable types

Text2
Categorical1

Dataset

Description제주특별자치도 제주시에서 관리하는 인명구조함 관리번호, 주소 정보입니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15024775/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:31:47.691757
Analysis finished2023-12-12 18:31:47.945884
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T03:31:48.256483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.4181818
Min length4

Characters and Unicode

Total characters729
Distinct characters36
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

Unique165 ?
Unique (%)100.0%

Sample

1st row한림-1
2nd row한림-2
3rd row한림-3
4th row한림-4
5th row한림-5
ValueCountFrequency (%)
한림-1 1
 
0.6%
추자-14 1
 
0.6%
삼도2-5 1
 
0.6%
삼도2-6 1
 
0.6%
용담2-1 1
 
0.6%
용담2-2 1
 
0.6%
용담2-3 1
 
0.6%
용담2-4 1
 
0.6%
용담2-5 1
 
0.6%
용담2-6 1
 
0.6%
Other values (155) 155
93.9%
2023-12-13T03:31:48.819014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 165
22.6%
1 70
 
9.6%
2 45
 
6.2%
한 39
 
5.3%
도 27
 
3.7%
추 24
 
3.3%
자 24
 
3.3%
건 22
 
3.0%
입 22
 
3.0%
3 21
 
2.9%
Other values (26) 270
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
45.3%
Decimal Number 234
32.1%
Dash Punctuation 165
22.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 39
 
11.8%
도 27
 
8.2%
추 24
 
7.3%
자 24
 
7.3%
건 22
 
6.7%
입 22
 
6.7%
림 21
 
6.4%
경 18
 
5.5%
애 14
 
4.2%
월 14
 
4.2%
Other values (15) 105
31.8%
Decimal Number
ValueCountFrequency (%)
1 70
29.9%
2 45
19.2%
3 21
 
9.0%
4 21
 
9.0%
5 17
 
7.3%
6 16
 
6.8%
7 14
 
6.0%
8 11
 
4.7%
9 10
 
4.3%
0 9
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 399
54.7%
Hangul 330
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 39
 
11.8%
도 27
 
8.2%
추 24
 
7.3%
자 24
 
7.3%
건 22
 
6.7%
입 22
 
6.7%
림 21
 
6.4%
경 18
 
5.5%
애 14
 
4.2%
월 14
 
4.2%
Other values (15) 105
31.8%
Common
ValueCountFrequency (%)
- 165
41.4%
1 70
17.5%
2 45
 
11.3%
3 21
 
5.3%
4 21
 
5.3%
5 17
 
4.3%
6 16
 
4.0%
7 14
 
3.5%
8 11
 
2.8%
9 10
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 399
54.7%
Hangul 330
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 165
41.4%
1 70
17.5%
2 45
 
11.3%
3 21
 
5.3%
4 21
 
5.3%
5 17
 
4.3%
6 16
 
4.0%
7 14
 
3.5%
8 11
 
2.8%
9 10
 
2.5%
Hangul
ValueCountFrequency (%)
한 39
 
11.8%
도 27
 
8.2%
추 24
 
7.3%
자 24
 
7.3%
건 22
 
6.7%
입 22
 
6.7%
림 21
 
6.4%
경 18
 
5.5%
애 14
 
4.2%
월 14
 
4.2%
Other values (15) 105
31.8%

주소
Text

Distinct128
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T03:31:49.296183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length24.127273
Min length19

Characters and Unicode

Total characters3981
Distinct characters90
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

Unique108 ?
Unique (%)65.5%

Sample

1st row제주특별자치도 제주시 한림읍 귀덕리 976-10
2nd row제주특별자치도 제주시 한림읍 귀덕리 4110-10
3rd row제주특별자치도 제주시 한림읍 수원리 286-16
4th row제주특별자치도 제주시 한림읍 수원리 724-5
5th row제주특별자치도 제주시 한림읍 수원리 724-7
ValueCountFrequency (%)
제주특별자치도 165
21.7%
제주시 165
21.7%
추자면 24
 
3.1%
건입동 22
 
2.9%
한림읍 21
 
2.8%
한경면 18
 
2.4%
애월읍 14
 
1.8%
구좌읍 11
 
1.4%
1435-11 9
 
1.2%
신양리 9
 
1.2%
Other values (178) 304
39.9%
2023-12-13T03:31:49.994074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
611
15.3%
제 330
 
8.3%
주 330
 
8.3%
도 195
 
4.9%
자 190
 
4.8%
1 184
 
4.6%
특 165
 
4.1%
별 165
 
4.1%
치 165
 
4.1%
시 165
 
4.1%
Other values (80) 1481
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2460
61.8%
Decimal Number 786
 
19.7%
Space Separator 611
 
15.3%
Dash Punctuation 124
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 330
13.4%
주 330
13.4%
도 195
 
7.9%
자 190
 
7.7%
특 165
 
6.7%
별 165
 
6.7%
치 165
 
6.7%
시 165
 
6.7%
리 101
 
4.1%
동 64
 
2.6%
Other values (68) 590
24.0%
Decimal Number
ValueCountFrequency (%)
1 184
23.4%
2 100
12.7%
4 98
12.5%
3 90
11.5%
6 76
9.7%
5 75
9.5%
7 52
 
6.6%
0 41
 
5.2%
9 38
 
4.8%
8 32
 
4.1%
Space Separator
ValueCountFrequency (%)
611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2460
61.8%
Common 1521
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 330
13.4%
주 330
13.4%
도 195
 
7.9%
자 190
 
7.7%
특 165
 
6.7%
별 165
 
6.7%
치 165
 
6.7%
시 165
 
6.7%
리 101
 
4.1%
동 64
 
2.6%
Other values (68) 590
24.0%
Common
ValueCountFrequency (%)
611
40.2%
1 184
 
12.1%
- 124
 
8.2%
2 100
 
6.6%
4 98
 
6.4%
3 90
 
5.9%
6 76
 
5.0%
5 75
 
4.9%
7 52
 
3.4%
0 41
 
2.7%
Other values (2) 70
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2460
61.8%
ASCII 1521
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
611
40.2%
1 184
 
12.1%
- 124
 
8.2%
2 100
 
6.6%
4 98
 
6.4%
3 90
 
5.9%
6 76
 
5.0%
5 75
 
4.9%
7 52
 
3.4%
0 41
 
2.7%
Other values (2) 70
 
4.6%
Hangul
ValueCountFrequency (%)
제 330
13.4%
주 330
13.4%
도 195
 
7.9%
자 190
 
7.7%
특 165
 
6.7%
별 165
 
6.7%
치 165
 
6.7%
시 165
 
6.7%
리 101
 
4.1%
동 64
 
2.6%
Other values (68) 590
24.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2017-06-12
165 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-06-12
2nd row2017-06-12
3rd row2017-06-12
4th row2017-06-12
5th row2017-06-12

Common Values

ValueCountFrequency (%)
2017-06-12 165
100.0%

Length

2023-12-13T03:31:50.194487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:31:50.334788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-06-12 165
100.0%

Missing values

2023-12-13T03:31:47.822404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:31:47.909240image/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

관리번호주소데이터기준일자
0한림-1제주특별자치도 제주시 한림읍 귀덕리 976-102017-06-12
1한림-2제주특별자치도 제주시 한림읍 귀덕리 4110-102017-06-12
2한림-3제주특별자치도 제주시 한림읍 수원리 286-162017-06-12
3한림-4제주특별자치도 제주시 한림읍 수원리 724-52017-06-12
4한림-5제주특별자치도 제주시 한림읍 수원리 724-72017-06-12
5한림-6제주특별자치도 제주시 한림읍 한림리 1377-412017-06-12
6한림-7제주특별자치도 제주시 한림읍 옹포리 500-122017-06-12
7한림-8제주특별자치도 제주시 한림읍 협재리 1458-22017-06-12
8한림-9제주특별자치도 제주시 한림읍 협재리 24592017-06-12
9한림-10제주특별자치도 제주시 한림읍 금능리 1493-102017-06-12
관리번호주소데이터기준일자
155이호-2제주특별자치도 제주시 이호1동 438-52017-06-12
156이호-3제주특별자치도 제주시 이호1동 1665-132017-06-12
157이호-4제주특별자치도 제주시 이호1동 1781-52017-06-12
158이호-5제주특별자치도 제주시 이호1동 1781-22017-06-12
159이호-6제주특별자치도 제주시 이호1동 347-92017-06-12
160도두-1제주특별자치도 제주시 도두이동 1675-22017-06-12
161도두-2제주특별자치도 제주시 도두일동 1727-12017-06-12
162도두-3제주특별자치도 제주시 도두일동 2605-32017-06-12
163도두-4제주특별자치도 제주시 도두일동 26352017-06-12
164도두-5제주특별자치도 제주시 도두일동 26352017-06-12