Overview

Dataset statistics

Number of variables4
Number of observations143
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory32.9 B

Variable types

Text3
Categorical1

Dataset

Description제주특별자치도 제주시 관내에서 관리하고 있는 재난 대비 이재민 수용시설 관련 현황 데이터를 제공합니다. (담당부서: 주민복지과)데이터항목 : 건물명, 위치, 관리책임자 등 정보 제공
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056026/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
건물명 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:23:29.792853
Analysis finished2024-04-21 01:23:30.447209
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T10:23:30.617854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.4825175
Min length5

Characters and Unicode

Total characters927
Distinct characters144
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)100.0%

Sample

1st row강구리경로당
2nd row귀덕1리경로당
3rd row귀덕2리경로당
4th row귀덕3리경로당
5th row금능리경로당
ValueCountFrequency (%)
체육관 2
 
1.4%
우도초등학교 1
 
0.7%
대서리사무소 1
 
0.7%
고산1리사무소 1
 
0.7%
산양리다목적회관 1
 
0.7%
신창리다목적회관 1
 
0.7%
조수1리다목적회관 1
 
0.7%
청수리사무소 1
 
0.7%
판포리사무소 1
 
0.7%
강구리경로당 1
 
0.7%
Other values (137) 137
92.6%
2024-04-21T10:23:30.940661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 97
 
10.5%
경 95
 
10.2%
로 94
 
10.1%
리 93
 
10.0%
관 29
 
3.1%
사 17
 
1.8%
소 16
 
1.7%
무 16
 
1.7%
동 15
 
1.6%
회 15
 
1.6%
Other values (134) 440
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 889
95.9%
Decimal Number 31
 
3.3%
Space Separator 5
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 97
 
10.9%
경 95
 
10.7%
로 94
 
10.6%
리 93
 
10.5%
관 29
 
3.3%
사 17
 
1.9%
소 16
 
1.8%
무 16
 
1.8%
동 15
 
1.7%
회 15
 
1.7%
Other values (128) 402
45.2%
Decimal Number
ValueCountFrequency (%)
1 15
48.4%
2 12
38.7%
3 4
 
12.9%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 889
95.9%
Common 38
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 97
 
10.9%
경 95
 
10.7%
로 94
 
10.6%
리 93
 
10.5%
관 29
 
3.3%
사 17
 
1.9%
소 16
 
1.8%
무 16
 
1.8%
동 15
 
1.7%
회 15
 
1.7%
Other values (128) 402
45.2%
Common
ValueCountFrequency (%)
1 15
39.5%
2 12
31.6%
5
 
13.2%
3 4
 
10.5%
( 1
 
2.6%
) 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 889
95.9%
ASCII 38
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 97
 
10.9%
경 95
 
10.7%
로 94
 
10.6%
리 93
 
10.5%
관 29
 
3.3%
사 17
 
1.9%
소 16
 
1.8%
무 16
 
1.8%
동 15
 
1.7%
회 15
 
1.7%
Other values (128) 402
45.2%
ASCII
ValueCountFrequency (%)
1 15
39.5%
2 12
31.6%
5
 
13.2%
3 4
 
10.5%
( 1
 
2.6%
) 1
 
2.6%

위치
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T10:23:31.204520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length12.167832
Min length9

Characters and Unicode

Total characters1740
Distinct characters146
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)100.0%

Sample

1st row한림읍 강구로 92
2nd row한림읍 귀덕14길 60
3rd row한림읍 귀덕3길 40
4th row한림읍 한수풀로 337
5th row한림읍 금능길 39
ValueCountFrequency (%)
애월읍 27
 
6.7%
한림읍 25
 
6.2%
조천읍 17
 
4.2%
한경면 17
 
4.2%
구좌읍 12
 
3.0%
우도면 6
 
1.5%
추자면 5
 
1.2%
2 4
 
1.0%
일주동로 4
 
1.0%
추자로 4
 
1.0%
Other values (250) 280
69.8%
2024-04-21T10:23:31.568022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
14.8%
1 87
 
5.0%
읍 82
 
4.7%
로 80
 
4.6%
길 78
 
4.5%
3 66
 
3.8%
한 57
 
3.3%
2 48
 
2.8%
동 45
 
2.6%
4 43
 
2.5%
Other values (136) 896
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 964
55.4%
Decimal Number 422
24.3%
Space Separator 258
 
14.8%
Close Punctuation 35
 
2.0%
Open Punctuation 35
 
2.0%
Dash Punctuation 26
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
읍 82
 
8.5%
로 80
 
8.3%
길 78
 
8.1%
한 57
 
5.9%
동 45
 
4.7%
림 36
 
3.7%
월 35
 
3.6%
애 29
 
3.0%
면 28
 
2.9%
도 24
 
2.5%
Other values (122) 470
48.8%
Decimal Number
ValueCountFrequency (%)
1 87
20.6%
3 66
15.6%
2 48
11.4%
4 43
10.2%
6 35
8.3%
5 33
 
7.8%
9 31
 
7.3%
0 30
 
7.1%
7 29
 
6.9%
8 20
 
4.7%
Space Separator
ValueCountFrequency (%)
258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 964
55.4%
Common 776
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
읍 82
 
8.5%
로 80
 
8.3%
길 78
 
8.1%
한 57
 
5.9%
동 45
 
4.7%
림 36
 
3.7%
월 35
 
3.6%
애 29
 
3.0%
면 28
 
2.9%
도 24
 
2.5%
Other values (122) 470
48.8%
Common
ValueCountFrequency (%)
258
33.2%
1 87
 
11.2%
3 66
 
8.5%
2 48
 
6.2%
4 43
 
5.5%
6 35
 
4.5%
) 35
 
4.5%
( 35
 
4.5%
5 33
 
4.3%
9 31
 
4.0%
Other values (4) 105
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 964
55.4%
ASCII 776
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
33.2%
1 87
 
11.2%
3 66
 
8.5%
2 48
 
6.2%
4 43
 
5.5%
6 35
 
4.5%
) 35
 
4.5%
( 35
 
4.5%
5 33
 
4.3%
9 31
 
4.0%
Other values (4) 105
13.5%
Hangul
ValueCountFrequency (%)
읍 82
 
8.5%
로 80
 
8.3%
길 78
 
8.1%
한 57
 
5.9%
동 45
 
4.7%
림 36
 
3.7%
월 35
 
3.6%
애 29
 
3.0%
면 28
 
2.9%
도 24
 
2.5%
Other values (122) 470
48.8%

관리책임자
Text

Distinct107
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T10:23:31.820670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.7622378
Min length3

Characters and Unicode

Total characters538
Distinct characters115
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)71.3%

Sample

1st row장*경
2nd row고*옥
3rd row김*오
4th row고*홍
5th row고*환
ValueCountFrequency (%)
노인회장 33
 
22.9%
김*철 2
 
1.4%
김*택 2
 
1.4%
고*홍 2
 
1.4%
김*식 2
 
1.4%
마을회장 2
 
1.4%
우도면장 1
 
0.7%
자치행정과장 1
 
0.7%
홍*철 1
 
0.7%
오*원 1
 
0.7%
Other values (97) 97
67.4%
2024-04-21T10:23:32.237856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 77
 
14.3%
장 70
 
13.0%
회 39
 
7.2%
노 34
 
6.3%
인 34
 
6.3%
김 21
 
3.9%
리 14
 
2.6%
고 9
 
1.7%
양 8
 
1.5%
학 8
 
1.5%
Other values (105) 224
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
85.1%
Other Punctuation 77
 
14.3%
Math Symbol 1
 
0.2%
Space Separator 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 70
 
15.3%
회 39
 
8.5%
노 34
 
7.4%
인 34
 
7.4%
김 21
 
4.6%
리 14
 
3.1%
고 9
 
2.0%
양 8
 
1.7%
학 8
 
1.7%
교 8
 
1.7%
Other values (101) 213
46.5%
Other Punctuation
ValueCountFrequency (%)
* 77
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
85.1%
Common 80
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 70
 
15.3%
회 39
 
8.5%
노 34
 
7.4%
인 34
 
7.4%
김 21
 
4.6%
리 14
 
3.1%
고 9
 
2.0%
양 8
 
1.7%
학 8
 
1.7%
교 8
 
1.7%
Other values (101) 213
46.5%
Common
ValueCountFrequency (%)
* 77
96.2%
+ 1
 
1.2%
1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
85.1%
ASCII 80
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 77
96.2%
+ 1
 
1.2%
1
 
1.2%
1 1
 
1.2%
Hangul
ValueCountFrequency (%)
장 70
 
15.3%
회 39
 
8.5%
노 34
 
7.4%
인 34
 
7.4%
김 21
 
4.6%
리 14
 
3.1%
고 9
 
2.0%
양 8
 
1.7%
학 8
 
1.7%
교 8
 
1.7%
Other values (101) 213
46.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-01
143 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-01
2nd row2024-04-01
3rd row2024-04-01
4th row2024-04-01
5th row2024-04-01

Common Values

ValueCountFrequency (%)
2024-04-01 143
100.0%

Length

2024-04-21T10:23:32.370840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:23:32.466243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-01 143
100.0%

Missing values

2024-04-21T10:23:30.330616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:23:30.405562image/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

건물명위치관리책임자데이터기준일자
0강구리경로당한림읍 강구로 92장*경2024-04-01
1귀덕1리경로당한림읍 귀덕14길 60고*옥2024-04-01
2귀덕2리경로당한림읍 귀덕3길 40김*오2024-04-01
3귀덕3리경로당한림읍 한수풀로 337고*홍2024-04-01
4금능리경로당한림읍 금능길 39고*환2024-04-01
5금악리경로당한림읍 금악로 2안*순2024-04-01
6대림리경로당한림읍 한수풀로 180신*삼2024-04-01
7동명리경로당한림읍 한림중앙로 62진*익2024-04-01
8명월리경로당한림읍 명월로 102오*수2024-04-01
9반석블루빌경로당한림읍 한수풀로 130(반석블루빌)조*수2024-04-01
건물명위치관리책임자데이터기준일자
133연상동경로당주수길 11(연동)문*순2024-04-01
134제성마을경로당제성3길 20(연동)김*보2024-04-01
135원노형경로당원노형2길 33-6 (노형동)강*원2024-04-01
136월랑경로당다랑곶4길 39(노형동)현*화2024-04-01
137해안경로당해안마을길 82(해안동)강*부2024-04-01
138노형초등학교(다목적 강당)노형로 383(노형동)현*순2024-04-01
139월대마을회관월대4길 3(외도이동)월대마을회장2024-04-01
140외도초등학교체육관일주서로 7368(외도이동)외도초등학교장2024-04-01
141오도마을복지회관오도길 31(이호이동)김*택2024-04-01
142도두일동마을회관도두3길 52(도두일동)김*식2024-04-01