Overview

Dataset statistics

Number of variables4
Number of observations66
Missing cells14
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory34.0 B

Variable types

Text3
DateTime1

Dataset

Description제주특별자치도에 위치하고 있는 장애인대상복지시설과 관련한 데이터로 시설명, 주소, 연락처등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056226/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 14 (21.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:03:41.277111
Analysis finished2023-12-12 02:03:41.941147
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T11:03:42.152075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length21
Mean length11.151515
Min length2

Characters and Unicode

Total characters736
Distinct characters141
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

Unique64 ?
Unique (%)97.0%

Sample

1st row장애인생산품판매시설
2nd row행복한 쉼터
3rd row제주장애인요양원
4th row춘강장애인근로센터
5th row제주케어하우스
ValueCountFrequency (%)
부설 5
 
5.2%
제주특별자치도 5
 
5.2%
제주가톨릭장애인주간보호센터 2
 
2.1%
탐라장애인종합복지관 2
 
2.1%
사회복지법인 2
 
2.1%
사)지적장애인복지협회 2
 
2.1%
주간보호시설 2
 
2.1%
서귀포시지부 2
 
2.1%
아가의집 1
 
1.0%
하나원 1
 
1.0%
Other values (72) 72
75.0%
2023-12-12T11:03:42.666694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
4.3%
32
 
4.3%
31
 
4.2%
31
 
4.2%
31
 
4.2%
30
 
4.1%
21
 
2.9%
21
 
2.9%
20
 
2.7%
20
 
2.7%
Other values (131) 467
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
94.3%
Space Separator 30
 
4.1%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
4.6%
32
 
4.6%
31
 
4.5%
31
 
4.5%
31
 
4.5%
21
 
3.0%
21
 
3.0%
20
 
2.9%
20
 
2.9%
16
 
2.3%
Other values (128) 439
63.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
94.3%
Common 42
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
4.6%
32
 
4.6%
31
 
4.5%
31
 
4.5%
31
 
4.5%
21
 
3.0%
21
 
3.0%
20
 
2.9%
20
 
2.9%
16
 
2.3%
Other values (128) 439
63.3%
Common
ValueCountFrequency (%)
30
71.4%
) 6
 
14.3%
( 6
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
94.3%
ASCII 42
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
 
4.6%
32
 
4.6%
31
 
4.5%
31
 
4.5%
31
 
4.5%
21
 
3.0%
21
 
3.0%
20
 
2.9%
20
 
2.9%
16
 
2.3%
Other values (128) 439
63.3%
ASCII
ValueCountFrequency (%)
30
71.4%
) 6
 
14.3%
( 6
 
14.3%

주소
Text

Distinct59
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T11:03:43.066315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.19697
Min length17

Characters and Unicode

Total characters1465
Distinct characters84
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

Unique53 ?
Unique (%)80.3%

Sample

1st row제주특별자치도 제주시 건입동 1045-1
2nd row제주특별자치도 제주시 영평동 2166
3rd row제주특별자치도 제주시 영평동 2166
4th row제주특별자치도 제주시 아라동 396-30
5th row제주특별자치도 제주시 영평동 2166-1
ValueCountFrequency (%)
제주특별자치도 66
23.7%
제주시 49
17.6%
서귀포시 16
 
5.8%
한림읍 5
 
1.8%
조천읍 5
 
1.8%
애월읍 5
 
1.8%
화북2동 4
 
1.4%
토평동 4
 
1.4%
308 3
 
1.1%
영평동 3
 
1.1%
Other values (93) 118
42.4%
2023-12-12T11:03:43.640181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
14.7%
116
 
7.9%
116
 
7.9%
74
 
5.1%
66
 
4.5%
66
 
4.5%
66
 
4.5%
66
 
4.5%
66
 
4.5%
1 59
 
4.0%
Other values (74) 554
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 941
64.2%
Decimal Number 278
 
19.0%
Space Separator 216
 
14.7%
Dash Punctuation 30
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
12.3%
116
12.3%
74
 
7.9%
66
 
7.0%
66
 
7.0%
66
 
7.0%
66
 
7.0%
66
 
7.0%
42
 
4.5%
20
 
2.1%
Other values (62) 243
25.8%
Decimal Number
ValueCountFrequency (%)
1 59
21.2%
2 43
15.5%
6 29
10.4%
3 29
10.4%
4 28
10.1%
0 24
8.6%
5 24
8.6%
9 19
 
6.8%
8 12
 
4.3%
7 11
 
4.0%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 941
64.2%
Common 524
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
12.3%
116
12.3%
74
 
7.9%
66
 
7.0%
66
 
7.0%
66
 
7.0%
66
 
7.0%
66
 
7.0%
42
 
4.5%
20
 
2.1%
Other values (62) 243
25.8%
Common
ValueCountFrequency (%)
216
41.2%
1 59
 
11.3%
2 43
 
8.2%
- 30
 
5.7%
6 29
 
5.5%
3 29
 
5.5%
4 28
 
5.3%
0 24
 
4.6%
5 24
 
4.6%
9 19
 
3.6%
Other values (2) 23
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 941
64.2%
ASCII 524
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
41.2%
1 59
 
11.3%
2 43
 
8.2%
- 30
 
5.7%
6 29
 
5.5%
3 29
 
5.5%
4 28
 
5.3%
0 24
 
4.6%
5 24
 
4.6%
9 19
 
3.6%
Other values (2) 23
 
4.4%
Hangul
ValueCountFrequency (%)
116
12.3%
116
12.3%
74
 
7.9%
66
 
7.0%
66
 
7.0%
66
 
7.0%
66
 
7.0%
66
 
7.0%
42
 
4.5%
20
 
2.1%
Other values (62) 243
25.8%

연락처
Text

MISSING 

Distinct47
Distinct (%)90.4%
Missing14
Missing (%)21.2%
Memory size660.0 B
2023-12-12T11:03:43.963458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.057692
Min length12

Characters and Unicode

Total characters627
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

Unique43 ?
Unique (%)82.7%

Sample

1st row064-702-1459
2nd row064-702-2320
3rd row064-702-2321
4th row064-702-7851
5th row064-702-9423
ValueCountFrequency (%)
064-794-6277 3
 
5.8%
064-751-9100 2
 
3.8%
064-732-3306 2
 
3.8%
070-4114-3442 2
 
3.8%
064-783-6662 1
 
1.9%
064-783-9920 1
 
1.9%
064-783-9000 1
 
1.9%
064-748-5544 1
 
1.9%
064-751-1197 1
 
1.9%
064-757-3359 1
 
1.9%
Other values (37) 37
71.2%
2023-12-12T11:03:44.474311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.6%
0 89
14.2%
4 77
12.3%
7 72
11.5%
6 69
11.0%
2 46
7.3%
9 43
6.9%
1 42
6.7%
3 39
 
6.2%
5 25
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 523
83.4%
Dash Punctuation 104
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
17.0%
4 77
14.7%
7 72
13.8%
6 69
13.2%
2 46
8.8%
9 43
8.2%
1 42
8.0%
3 39
7.5%
5 25
 
4.8%
8 21
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 627
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.6%
0 89
14.2%
4 77
12.3%
7 72
11.5%
6 69
11.0%
2 46
7.3%
9 43
6.9%
1 42
6.7%
3 39
 
6.2%
5 25
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.6%
0 89
14.2%
4 77
12.3%
7 72
11.5%
6 69
11.0%
2 46
7.3%
9 43
6.9%
1 42
6.7%
3 39
 
6.2%
5 25
 
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2022-12-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T11:03:44.616765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:03:44.710114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T11:03:44.794086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명주소연락처
시설명1.0000.9961.000
주소0.9961.0000.998
연락처1.0000.9981.000

Missing values

2023-12-12T11:03:41.783649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:03:41.895743image/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

시설명주소연락처데이터기준일자
0장애인생산품판매시설제주특별자치도 제주시 건입동 1045-1064-702-14592022-12-01
1행복한 쉼터제주특별자치도 제주시 영평동 2166064-702-23202022-12-01
2제주장애인요양원제주특별자치도 제주시 영평동 2166064-702-23212022-12-01
3춘강장애인근로센터제주특별자치도 제주시 아라동 396-30064-702-78512022-12-01
4제주케어하우스제주특별자치도 제주시 영평동 2166-1064-702-94232022-12-01
5제주특별자치도 제주시각장애인복지관제주특별자치도 제주시 월평동 420-1064-710-12002022-12-01
6탐라장애인종합복지관 부설 주간보호시설제주특별자치도 제주시 광양4길 32064-710-99902022-12-01
7제주도농아복지관제주특별자치도 제주시 외도1동 1633064-711-90942022-12-01
8청각언어장애인주간보호시설제주특별자치도 제주시 외도1동 2202-1064-712-16332022-12-01
9마리아의집제주특별자치도 제주시 애월읍 하귀1리 107-1064-713-88772022-12-01
시설명주소연락처데이터기준일자
56제주장애인보조공학서비스지원센터제주특별자치도 제주시 아봉로433<NA>2022-12-01
57한림소망의집공동생활가정(여)제주특별자치도 제주시 한림읍 한수리 857-24<NA>2022-12-01
58도지적장애인복지협회(여)제주특별자치도 제주시 오등동 1654<NA>2022-12-01
59도지적장애인복지협회(남)제주특별자치도 제주시 건입동 1066-9<NA>2022-12-01
60제주가톨릭장애인주간보호센터제주특별자치도 제주시 화북2동 5625-5<NA>2022-12-01
61도지적장애인 복지협회제주특별자치도 서귀포시지부부설주간보호시설제주특별자치도 서귀포시 서귀동 253-18<NA>2022-12-01
62도지적장애인복지협회부설주간보호시설제주특별자치도 제주시 삼양2동 2149-1<NA>2022-12-01
63제주도장애인종합복지관제주특별자치도 제주시 아라1동 396-1<NA>2022-12-01
64엘린제주특별자치도 제주시 은남1길4<NA>2022-12-01
65일배움터제주특별자치도 제주시 기와5길83<NA>2022-12-01