Overview

Dataset statistics

Number of variables7
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory59.3 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description경상남도 하동군에 있는 장기요양기관 현황 (연번, 기관종류, 기관 및 시설명, 읍면, 소재지, 전화번호)의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15086621/fileData.do

Alerts

연번 is highly overall correlated with 종류High correlation
종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
급여종류 is highly overall correlated with 종류High correlation
연번 has unique valuesUnique
기관및시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:04:15.157523
Analysis finished2023-12-12 08:04:16.477405
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T17:04:16.576612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2023-12-12T17:04:16.796692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
재가장기요양기관
34 
재가급여제공 장기요양기관
15 
시설급여제공 장기요양기관
9 

Length

Max length13
Median length8
Mean length10.068966
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시설급여제공 장기요양기관
2nd row시설급여제공 장기요양기관
3rd row시설급여제공 장기요양기관
4th row시설급여제공 장기요양기관
5th row시설급여제공 장기요양기관

Common Values

ValueCountFrequency (%)
재가장기요양기관 34
58.6%
재가급여제공 장기요양기관 15
25.9%
시설급여제공 장기요양기관 9
 
15.5%

Length

2023-12-12T17:04:16.981378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:04:17.137179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가장기요양기관 34
41.5%
장기요양기관 24
29.3%
재가급여제공 15
18.3%
시설급여제공 9
 
11.0%

기관및시설명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T17:04:17.445828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.8448276
Min length4

Characters and Unicode

Total characters513
Distinct characters110
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

Unique58 ?
Unique (%)100.0%

Sample

1st row하동요양원
2nd row횡천요양원
3rd row해맑은 요양원
4th row사회복지법인 자혜복지재단 노량실버타운
5th row한사랑요양원
ValueCountFrequency (%)
하동군 2
 
3.0%
요양원 2
 
3.0%
금오노인복지센터 1
 
1.5%
한다사복지센터 1
 
1.5%
하동노인복지센터 1
 
1.5%
참사랑노인재가복지센터 1
 
1.5%
행복한노인복지센터 1
 
1.5%
예손복지센타 1
 
1.5%
하동돌봄지원센터 1
 
1.5%
흰돌재가복지센터 1
 
1.5%
Other values (55) 55
82.1%
2023-12-12T17:04:18.036664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 46
 
9.0%
터 44
 
8.6%
복 43
 
8.4%
지 41
 
8.0%
인 28
 
5.5%
노 28
 
5.5%
가 22
 
4.3%
재 22
 
4.3%
사 11
 
2.1%
양 10
 
1.9%
Other values (100) 218
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
98.2%
Space Separator 9
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 46
 
9.1%
터 44
 
8.7%
복 43
 
8.5%
지 41
 
8.1%
인 28
 
5.6%
노 28
 
5.6%
가 22
 
4.4%
재 22
 
4.4%
사 11
 
2.2%
양 10
 
2.0%
Other values (99) 209
41.5%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
98.2%
Common 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 46
 
9.1%
터 44
 
8.7%
복 43
 
8.5%
지 41
 
8.1%
인 28
 
5.6%
노 28
 
5.6%
가 22
 
4.4%
재 22
 
4.4%
사 11
 
2.2%
양 10
 
2.0%
Other values (99) 209
41.5%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
98.2%
ASCII 9
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 46
 
9.1%
터 44
 
8.7%
복 43
 
8.5%
지 41
 
8.1%
인 28
 
5.6%
노 28
 
5.6%
가 22
 
4.4%
재 22
 
4.4%
사 11
 
2.2%
양 10
 
2.0%
Other values (99) 209
41.5%
ASCII
ValueCountFrequency (%)
9
100.0%

급여종류
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
방문요양,방문목욕
21 
방문요양
11 
노인요양시설(개정법)
5 
주야간보호
4 
방문요양,주야간보호
3 
Other values (8)
14 

Length

Max length23
Median length16
Mean length8.6551724
Min length4

Unique

Unique3 ?
Unique (%)5.2%

Sample

1st row노인요양시설(개정법)
2nd row치매전담형 노인공동생활가정
3rd row노인요양공동생활가정
4th row노인요양시설(개정법)
5th row노인요양시설(개정법)

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 21
36.2%
방문요양 11
19.0%
노인요양시설(개정법) 5
 
8.6%
주야간보호 4
 
6.9%
방문요양,주야간보호 3
 
5.2%
방문요양,방문목욕,주야간보호 3
 
5.2%
노인요양공동생활가정 2
 
3.4%
방문요양, 방문목욕 2
 
3.4%
방문간호 2
 
3.4%
복지용구제공사업소 2
 
3.4%
Other values (3) 3
 
5.2%

Length

2023-12-12T17:04:18.254609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양,방문목욕 21
32.3%
방문요양 14
21.5%
노인요양시설(개정법 5
 
7.7%
주야간보호 4
 
6.2%
방문요양,주야간보호 3
 
4.6%
방문요양,방문목욕,주야간보호 3
 
4.6%
방문목욕 3
 
4.6%
방문간호 3
 
4.6%
노인요양공동생활가정 2
 
3.1%
복지용구제공사업소 2
 
3.1%
Other values (5) 5
 
7.7%

읍면
Categorical

Distinct12
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
하동읍
14 
진교면
11 
횡천면
8 
옥종면
7 
악양면
4 
Other values (7)
14 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row옥종면
2nd row횡천면
3rd row하동읍
4th row금남면
5th row고전면

Common Values

ValueCountFrequency (%)
하동읍 14
24.1%
진교면 11
19.0%
횡천면 8
13.8%
옥종면 7
12.1%
악양면 4
 
6.9%
적량면 3
 
5.2%
금남면 2
 
3.4%
고전면 2
 
3.4%
금성면 2
 
3.4%
양보면 2
 
3.4%
Other values (2) 3
 
5.2%

Length

2023-12-12T17:04:18.453481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하동읍 14
24.1%
진교면 11
19.0%
횡천면 8
13.8%
옥종면 7
12.1%
악양면 4
 
6.9%
적량면 3
 
5.2%
금남면 2
 
3.4%
고전면 2
 
3.4%
금성면 2
 
3.4%
양보면 2
 
3.4%
Other values (2) 3
 
5.2%

소재지
Text

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T17:04:18.818566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length22
Min length17

Characters and Unicode

Total characters1276
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)89.7%

Sample

1st row경상남도 하동군 옥종면 옥단로 587
2nd row경상남도 하동군 횡천면 경서대로 1063-3
3rd row경상남도 하동군 하동읍 화심길 51-13
4th row경상남도 하동군 금남면 연화마을길 49-15
5th row경상남도 하동군 고전면 하동읍성로 615
ValueCountFrequency (%)
경상남도 58
19.4%
하동군 58
19.4%
하동읍 14
 
4.7%
경서대로 12
 
4.0%
진교면 11
 
3.7%
횡천면 8
 
2.7%
옥종면 7
 
2.3%
옥종중앙길 5
 
1.7%
악양면 3
 
1.0%
적량면 3
 
1.0%
Other values (97) 120
40.1%
2023-12-12T17:04:19.370618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
19.0%
동 77
 
6.0%
하 74
 
5.8%
경 72
 
5.6%
남 60
 
4.7%
상 59
 
4.6%
도 59
 
4.6%
군 58
 
4.5%
1 47
 
3.7%
면 43
 
3.4%
Other values (82) 485
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 814
63.8%
Space Separator 242
 
19.0%
Decimal Number 190
 
14.9%
Dash Punctuation 21
 
1.6%
Other Punctuation 7
 
0.5%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
9.5%
하 74
 
9.1%
경 72
 
8.8%
남 60
 
7.4%
상 59
 
7.2%
도 59
 
7.2%
군 58
 
7.1%
면 43
 
5.3%
길 31
 
3.8%
로 26
 
3.2%
Other values (67) 255
31.3%
Decimal Number
ValueCountFrequency (%)
1 47
24.7%
3 24
12.6%
6 23
12.1%
2 22
11.6%
5 16
 
8.4%
4 13
 
6.8%
8 13
 
6.8%
0 12
 
6.3%
7 11
 
5.8%
9 9
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
63.8%
Common 460
36.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
9.5%
하 74
 
9.1%
경 72
 
8.8%
남 60
 
7.4%
상 59
 
7.2%
도 59
 
7.2%
군 58
 
7.1%
면 43
 
5.3%
길 31
 
3.8%
로 26
 
3.2%
Other values (67) 255
31.3%
Common
ValueCountFrequency (%)
242
52.6%
1 47
 
10.2%
3 24
 
5.2%
6 23
 
5.0%
2 22
 
4.8%
- 21
 
4.6%
5 16
 
3.5%
4 13
 
2.8%
8 13
 
2.8%
0 12
 
2.6%
Other values (3) 27
 
5.9%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 814
63.8%
ASCII 462
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
52.4%
1 47
 
10.2%
3 24
 
5.2%
6 23
 
5.0%
2 22
 
4.8%
- 21
 
4.5%
5 16
 
3.5%
4 13
 
2.8%
8 13
 
2.8%
0 12
 
2.6%
Other values (5) 29
 
6.3%
Hangul
ValueCountFrequency (%)
동 77
 
9.5%
하 74
 
9.1%
경 72
 
8.8%
남 60
 
7.4%
상 59
 
7.2%
도 59
 
7.2%
군 58
 
7.1%
면 43
 
5.3%
길 31
 
3.8%
로 26
 
3.2%
Other values (67) 255
31.3%

연락처
Text

Distinct54
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T17:04:19.705673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters696
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

Unique50 ?
Unique (%)86.2%

Sample

1st row055-884-7070
2nd row055-883-0762
3rd row055-884-5667
4th row055-884-0074
5th row055-884-7800
ValueCountFrequency (%)
055-883-0762 2
 
3.4%
055-883-2520 2
 
3.4%
055-883-5671 2
 
3.4%
055-883-9232 2
 
3.4%
055-884-6866 1
 
1.7%
055-883-2797 1
 
1.7%
055-884-7070 1
 
1.7%
055-884-6874 1
 
1.7%
055-883-7978 1
 
1.7%
055-883-8858 1
 
1.7%
Other values (44) 44
75.9%
2023-12-12T17:04:20.190063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 142
20.4%
8 134
19.3%
- 116
16.7%
0 99
14.2%
3 38
 
5.5%
2 37
 
5.3%
4 36
 
5.2%
7 32
 
4.6%
6 23
 
3.3%
1 21
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 580
83.3%
Dash Punctuation 116
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 142
24.5%
8 134
23.1%
0 99
17.1%
3 38
 
6.6%
2 37
 
6.4%
4 36
 
6.2%
7 32
 
5.5%
6 23
 
4.0%
1 21
 
3.6%
9 18
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 142
20.4%
8 134
19.3%
- 116
16.7%
0 99
14.2%
3 38
 
5.5%
2 37
 
5.3%
4 36
 
5.2%
7 32
 
4.6%
6 23
 
3.3%
1 21
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 142
20.4%
8 134
19.3%
- 116
16.7%
0 99
14.2%
3 38
 
5.5%
2 37
 
5.3%
4 36
 
5.2%
7 32
 
4.6%
6 23
 
3.3%
1 21
 
3.0%

Interactions

2023-12-12T17:04:15.769950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:04:20.313188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류기관및시설명급여종류읍면소재지연락처
연번1.0000.9221.0000.5820.3120.7970.730
종류0.9221.0001.0000.8910.0000.0000.000
기관및시설명1.0001.0001.0001.0001.0001.0001.000
급여종류0.5820.8911.0001.0000.0000.0000.000
읍면0.3120.0001.0000.0001.0001.0001.000
소재지0.7970.0001.0000.0001.0001.0001.000
연락처0.7300.0001.0000.0001.0001.0001.000
2023-12-12T17:04:20.459360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류종류읍면
급여종류1.0000.7240.000
종류0.7241.0000.000
읍면0.0000.0001.000
2023-12-12T17:04:20.572325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류급여종류읍면
연번1.0000.8330.2700.118
종류0.8331.0000.7240.000
급여종류0.2700.7241.0000.000
읍면0.1180.0000.0001.000

Missing values

2023-12-12T17:04:15.911278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:04:16.423552image/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

연번종류기관및시설명급여종류읍면소재지연락처
01시설급여제공 장기요양기관하동요양원노인요양시설(개정법)옥종면경상남도 하동군 옥종면 옥단로 587055-884-7070
12시설급여제공 장기요양기관횡천요양원치매전담형 노인공동생활가정횡천면경상남도 하동군 횡천면 경서대로 1063-3055-883-0762
23시설급여제공 장기요양기관해맑은 요양원노인요양공동생활가정하동읍경상남도 하동군 하동읍 화심길 51-13055-884-5667
34시설급여제공 장기요양기관사회복지법인 자혜복지재단 노량실버타운노인요양시설(개정법)금남면경상남도 하동군 금남면 연화마을길 49-15055-884-0074
45시설급여제공 장기요양기관한사랑요양원노인요양시설(개정법)고전면경상남도 하동군 고전면 하동읍성로 615055-884-7800
56시설급여제공 장기요양기관하동군 치매요양원노인요양시설(개정법),치매전담실 가형 2실횡천면경상남도 하동군 횡천면 경서대로 1187055-883-9232
67시설급여제공 장기요양기관대한노인요양원노인요양시설(개정법)적량면경상남도 하동군 적량면 경서대로 360055-883-2520
78시설급여제공 장기요양기관사랑드림노인요양공동생활가정진교면경상남도 하동군 진교면 경충로 665-37055-882-1399
89시설급여제공 장기요양기관행복누리 요양원노인요양시설(개정법)하동읍경상남도 하동군 하동읍 오룡정길 31055-883-1289
910재가급여제공 장기요양기관제일편한노인복지센터방문요양,방문목욕진교면경상남도 하동군 진교면 민다리길 62, 2층055-883-4500
연번종류기관및시설명급여종류읍면소재지연락처
4849재가장기요양기관나눔노인재가복지센터방문요양하동읍경상남도 하동군 하동읍 오룡정길 36055-882-0087
4950재가장기요양기관횡천노인복지센터방문요양,방문목욕,주야간보호횡천면경상남도 하동군 횡천면 경서대로 1063-3055-883-0762
5051재가장기요양기관백세노인복지센터방문요양,방문목욕횡천면경상남도 하동군 횡천면 경서대로 1152055-882-0082
5152재가장기요양기관행복한재가복지센터방문요양옥종면경상남도 하동군 옥종면 옥종중앙길 48-1055-883-9840
5253재가장기요양기관봄봄노인복지센터방문요양,방문목욕옥종면경상남도 하동군 옥종면 주포중앙길 29055-882-3060
5354재가장기요양기관다사랑재가복지센터방문요양진교면경상남도 하동군 진교면 민다리길 98055-882-7277
5455재가장기요양기관미소짓는 노인복지센터방문요양하동읍경상남도 하동군 하동읍 송림1길 6055-882-1456
5556재가장기요양기관황금나무노인복지센터방문요양,방문목욕진교면경상남도 하동군 진교면 경충로 1051055-883-0325
5657재가장기요양기관다온노인재가복지센터방문요양,방문목욕옥종면경상남도 하동군 옥종면 옥종중앙길 86-56055-883-5671
5758재가장기요양기관참조은노인재가복지센터방문요양,방문목욕악양면경상남도 하동군 악양면 악양동로 334, 2층055-884-8235