Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1012.0 B
Average record size in memory46.0 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description도 내에 설치 된 장애인복지관 설치 현황 및 복지관이 미설치 되어있는 군 지역의 장애인복지센터 현황에 대한 정보를 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/15102384/fileData.do

Alerts

시설명 has unique valuesUnique
소재지 has unique valuesUnique
개소일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:09:41.640053
Analysis finished2023-12-12 05:09:42.139964
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:09:42.275278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.5454545
Min length1

Characters and Unicode

Total characters78
Distinct characters33
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

Unique18 ?
Unique (%)81.8%

Sample

1st row
2nd row창원시 의창구
3rd row창원시 마산합포구
4th row창원시 진해구
5th row진주시
ValueCountFrequency (%)
창원시 3
 
12.0%
양산시 2
 
8.0%
김해시 2
 
8.0%
남해군 1
 
4.0%
창녕군 1
 
4.0%
함양군 1
 
4.0%
고성군 1
 
4.0%
함안군 1
 
4.0%
거창군 1
 
4.0%
산청군 1
 
4.0%
Other values (11) 11
44.0%
2023-12-12T14:09:42.681086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
15.4%
9
 
11.5%
6
 
7.7%
4
 
5.1%
4
 
5.1%
4
 
5.1%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.6%
Other values (23) 28
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
96.2%
Space Separator 3
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
16.0%
9
 
12.0%
6
 
8.0%
4
 
5.3%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
Other values (22) 26
34.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
96.2%
Common 3
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
16.0%
9
 
12.0%
6
 
8.0%
4
 
5.3%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
Other values (22) 26
34.7%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
96.2%
ASCII 3
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
16.0%
9
 
12.0%
6
 
8.0%
4
 
5.3%
4
 
5.3%
4
 
5.3%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
Other values (22) 26
34.7%
ASCII
ValueCountFrequency (%)
3
100.0%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:09:42.932654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.318182
Min length6

Characters and Unicode

Total characters227
Distinct characters53
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경상남도장애인종합복지관
2nd row창원시장애인종합복지관
3rd row마산장애인복지관
4th row진해장애인복지관
5th row진주시장애인종합복지관
ValueCountFrequency (%)
장애인복지센터 2
 
7.4%
경상남도장애인종합복지관 1
 
3.7%
창원시장애인종합복지관 1
 
3.7%
함양군 1
 
3.7%
고성군장애인복지센터 1
 
3.7%
재활센터 1
 
3.7%
장애인 1
 
3.7%
함안군 1
 
3.7%
거창군장애인복합문화관 1
 
3.7%
산엔청복지관 1
 
3.7%
Other values (16) 16
59.3%
2023-12-12T14:09:43.459663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
9.3%
20
 
8.8%
20
 
8.8%
20
 
8.8%
20
 
8.8%
18
 
7.9%
12
 
5.3%
10
 
4.4%
10
 
4.4%
6
 
2.6%
Other values (43) 70
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
97.8%
Space Separator 5
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
9.5%
20
 
9.0%
20
 
9.0%
20
 
9.0%
20
 
9.0%
18
 
8.1%
12
 
5.4%
10
 
4.5%
10
 
4.5%
6
 
2.7%
Other values (42) 65
29.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
97.8%
Common 5
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
9.5%
20
 
9.0%
20
 
9.0%
20
 
9.0%
20
 
9.0%
18
 
8.1%
12
 
5.4%
10
 
4.5%
10
 
4.5%
6
 
2.7%
Other values (42) 65
29.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
97.8%
ASCII 5
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
 
9.5%
20
 
9.0%
20
 
9.0%
20
 
9.0%
20
 
9.0%
18
 
8.1%
12
 
5.4%
10
 
4.5%
10
 
4.5%
6
 
2.7%
Other values (42) 65
29.3%
ASCII
ValueCountFrequency (%)
5
100.0%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:09:43.812626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length15.590909
Min length11

Characters and Unicode

Total characters343
Distinct characters78
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

Unique22 ?
Unique (%)100.0%

Sample

1st row창원시 의창구 봉곡로97번길 85
2nd row창원시 의창구 봉곡로97번길 87
3rd row창원시 마산합포구 반월서7길 59
4th row창원시 진해구 진해대로 1101
5th row진주시 동진로 273
ValueCountFrequency (%)
창원시 4
 
4.8%
봉곡로97번길 2
 
2.4%
의창구 2
 
2.4%
김해시 2
 
2.4%
양산시 2
 
2.4%
중앙로 2
 
2.4%
하동읍 1
 
1.2%
67 1
 
1.2%
산청읍 1
 
1.2%
산청군 1
 
1.2%
Other values (65) 65
78.3%
2023-12-12T14:09:44.367401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
17.8%
12
 
3.5%
12
 
3.5%
1 11
 
3.2%
11
 
3.2%
10
 
2.9%
9 10
 
2.9%
4 10
 
2.9%
7 10
 
2.9%
2 10
 
2.9%
Other values (68) 186
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
57.7%
Decimal Number 78
 
22.7%
Space Separator 61
 
17.8%
Dash Punctuation 5
 
1.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
6.1%
12
 
6.1%
11
 
5.6%
10
 
5.1%
9
 
4.5%
8
 
4.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
6
 
3.0%
Other values (55) 110
55.6%
Decimal Number
ValueCountFrequency (%)
1 11
14.1%
9 10
12.8%
4 10
12.8%
7 10
12.8%
2 10
12.8%
5 7
9.0%
6 6
7.7%
8 5
6.4%
3 5
6.4%
0 4
 
5.1%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
57.7%
Common 145
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
6.1%
12
 
6.1%
11
 
5.6%
10
 
5.1%
9
 
4.5%
8
 
4.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
6
 
3.0%
Other values (55) 110
55.6%
Common
ValueCountFrequency (%)
61
42.1%
1 11
 
7.6%
9 10
 
6.9%
4 10
 
6.9%
7 10
 
6.9%
2 10
 
6.9%
5 7
 
4.8%
6 6
 
4.1%
- 5
 
3.4%
8 5
 
3.4%
Other values (3) 10
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
57.7%
ASCII 145
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
42.1%
1 11
 
7.6%
9 10
 
6.9%
4 10
 
6.9%
7 10
 
6.9%
2 10
 
6.9%
5 7
 
4.8%
6 6
 
4.1%
- 5
 
3.4%
8 5
 
3.4%
Other values (3) 10
 
6.9%
Hangul
ValueCountFrequency (%)
12
 
6.1%
12
 
6.1%
11
 
5.6%
10
 
5.1%
9
 
4.5%
8
 
4.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
6
 
3.0%
Other values (55) 110
55.6%

시설장
Categorical

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
김**
이**
류**
신**
정**
Other values (4)

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique7 ?
Unique (%)31.8%

Sample

1st row류**
2nd row이**
3rd row김**
4th row김**
5th row신**

Common Values

ValueCountFrequency (%)
김** 8
36.4%
이** 7
31.8%
류** 1
 
4.5%
신** 1
 
4.5%
정** 1
 
4.5%
조** 1
 
4.5%
추** 1
 
4.5%
윤** 1
 
4.5%
변** 1
 
4.5%

Length

2023-12-12T14:09:44.562006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:44.769151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8
36.4%
7
31.8%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%

개소일
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1992-07-30 00:00:00
Maximum2022-03-31 00:00:00
2023-12-12T14:09:44.974689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:45.164827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

Correlations

2023-12-12T14:09:45.270551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구시설명소재지시설장개소일
시군구1.0001.0001.0000.9171.000
시설명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
시설장0.9171.0001.0001.0001.000
개소일1.0001.0001.0001.0001.000

Missing values

2023-12-12T14:09:41.965633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:09:42.087249image/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

시군구시설명소재지시설장개소일
0경상남도장애인종합복지관창원시 의창구 봉곡로97번길 85류**1992-07-30
1창원시 의창구창원시장애인종합복지관창원시 의창구 봉곡로97번길 87이**2001-12-21
2창원시 마산합포구마산장애인복지관창원시 마산합포구 반월서7길 59김**2003-05-28
3창원시 진해구진해장애인복지관창원시 진해구 진해대로 1101김**2004-07-01
4진주시진주시장애인종합복지관진주시 동진로 273신**2003-11-27
5통영시통영시장애인종합복지관통여이 용남면 기호바깥길 7-89정**2014-12-05
6사천시사천시장애인종합복지관사천시 용현면 진삼로 447이**2007-03-27
7김해시김해시장애인종합복지관김해시 삼계로 140이**2005-12-06
8김해시김해시서부장애인종합복지관김해시 대청동 298-9조**2021-07-01
9밀양시밀양시장애인종합복지관밀양시 가곡14길 22추**2018-02-18
시군구시설명소재지시설장개소일
12양산시양산시발달장애인복지관경상남도 양산시 덕계동 1039김**2022-03-31
13창녕군창녕군장애인종합복지관창녕군 창녕읍 탐하로 244, 234-2김**2007-03-28
14남해군남해장애인복지관남해군 이동면 남해대로 2364-9변**2008-07-30
15하동군알프스하동 종합복지관하동군 하동읍 중앙로 89이**2018-11-27
16산청군산엔청복지관산청군 산청읍 중앙로 67김**2017-01-19
17거창군거창군장애인복합문화관거창군 거창읍 거안로 1266-41김**2008-05-02
18함안군함안군 장애인 재활센터함안군 가야읍 중앙남길 70이**2005-04-01
19고성군고성군장애인복지센터고성군 고성읍 동외로156번길 36김**2016-12-07
20함양군함양군 장애인복지센터함양군 함양읍 거면강변길 25이**2003-07-02
21합천군합천군 장애인복지센터함천군 합천읍 남정길 79이**2017-01-01