Overview

Dataset statistics

Number of variables6
Number of observations70
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory50.9 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description충청남도 보령시에 위치한 장기요양기관의 기관명, 급여정보, 기관주소, 기관 전화번호, 기관 팩스번호를 제공하는 데이터입니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=410&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037751

Alerts

팩스번호 has 2 (2.9%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:12:22.832558
Analysis finished2024-01-09 22:12:23.326898
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-01-10T07:12:23.382232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2024-01-10T07:12:23.490735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

기관명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-01-10T07:12:23.677894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.1428571
Min length4

Characters and Unicode

Total characters640
Distinct characters127
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

Unique70 ?
Unique (%)100.0%

Sample

1st row행복한집
2nd row보령실버홈
3rd row보령요양원
4th row노인전문 살렘요양원
5th row브라보 노인요양공동생활가정
ValueCountFrequency (%)
행복한집 1
 
1.3%
기쁨나눔노인요양방문센터 1
 
1.3%
보령재가노인복지센터 1
 
1.3%
보령지역자활센터 1
 
1.3%
홍보재가복지센터 1
 
1.3%
믿음재가방문요양센터 1
 
1.3%
삼정방문간호센터 1
 
1.3%
동부케어 1
 
1.3%
곰내요양복지센터 1
 
1.3%
금빛재가복지센터 1
 
1.3%
Other values (68) 68
87.2%
2024-01-10T07:12:24.029520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 56
 
8.8%
센 55
 
8.6%
복 35
 
5.5%
지 33
 
5.2%
가 32
 
5.0%
재 25
 
3.9%
보 25
 
3.9%
요 21
 
3.3%
양 21
 
3.3%
령 14
 
2.2%
Other values (117) 323
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
97.5%
Space Separator 8
 
1.2%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 56
 
9.0%
센 55
 
8.8%
복 35
 
5.6%
지 33
 
5.3%
가 32
 
5.1%
재 25
 
4.0%
보 25
 
4.0%
요 21
 
3.4%
양 21
 
3.4%
령 14
 
2.2%
Other values (114) 307
49.2%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
97.5%
Common 16
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 56
 
9.0%
센 55
 
8.8%
복 35
 
5.6%
지 33
 
5.3%
가 32
 
5.1%
재 25
 
4.0%
보 25
 
4.0%
요 21
 
3.4%
양 21
 
3.4%
령 14
 
2.2%
Other values (114) 307
49.2%
Common
ValueCountFrequency (%)
8
50.0%
) 4
25.0%
( 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
97.5%
ASCII 16
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 56
 
9.0%
센 55
 
8.8%
복 35
 
5.6%
지 33
 
5.3%
가 32
 
5.1%
재 25
 
4.0%
보 25
 
4.0%
요 21
 
3.4%
양 21
 
3.4%
령 14
 
2.2%
Other values (114) 307
49.2%
ASCII
ValueCountFrequency (%)
8
50.0%
) 4
25.0%
( 4
25.0%

급여종류
Categorical

Distinct12
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
방문요양,방문목욕
22 
방문요양
15 
주야간보호
8 
노인요양시설(개정법)
6 
노인요양공동생활가정
4 
Other values (7)
15 

Length

Max length23
Median length15
Mean length8.2285714
Min length4

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row노인요양시설(개정법),치매전담실 나형 1실
2nd row노인요양시설(개정법)
3rd row노인요양시설(개정법)
4th row노인요양시설(개정법)
5th row노인요양공동생활가정

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 22
31.4%
방문요양 15
21.4%
주야간보호 8
 
11.4%
노인요양시설(개정법) 6
 
8.6%
노인요양공동생활가정 4
 
5.7%
복지용구제공사업소 4
 
5.7%
방문간호 3
 
4.3%
방문요양,방문목욕,주야간보호 2
 
2.9%
방문요양,주야간보호 2
 
2.9%
방문요양,방문목욕,방문간호 2
 
2.9%
Other values (2) 2
 
2.9%

Length

2024-01-10T07:12:24.144975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양,방문목욕 22
29.7%
방문요양 15
20.3%
주야간보호 8
 
10.8%
노인요양시설(개정법 6
 
8.1%
노인요양공동생활가정 4
 
5.4%
복지용구제공사업소 4
 
5.4%
방문간호 3
 
4.1%
방문요양,방문목욕,주야간보호 2
 
2.7%
방문요양,주야간보호 2
 
2.7%
방문요양,방문목욕,방문간호 2
 
2.7%
Other values (4) 6
 
8.1%

기관주소
Text

Distinct64
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-01-10T07:12:24.368659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length23.185714
Min length18

Characters and Unicode

Total characters1623
Distinct characters108
Distinct categories7 ?
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 (%)82.9%

Sample

1st row충청남도 보령시 남포면 봉덕2길 14
2nd row충청남도 보령시 남포면 보령남로 205
3rd row충청남도 보령시 남포면 보령남로 207
4th row충청남도 보령시 천북면 심박동길 92
5th row충청남도 보령시 청소면 송덕신송길 337-61
ValueCountFrequency (%)
충청남도 70
19.0%
보령시 70
19.0%
대천동 19
 
5.1%
동대동 12
 
3.3%
청소면 7
 
1.9%
남포면 6
 
1.6%
웅천읍 6
 
1.6%
송덕신송길 4
 
1.1%
2층 4
 
1.1%
명천동 4
 
1.1%
Other values (126) 167
45.3%
2024-01-10T07:12:24.913199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
18.4%
청 82
 
5.1%
남 80
 
4.9%
보 75
 
4.6%
령 75
 
4.6%
충 72
 
4.4%
시 71
 
4.4%
도 70
 
4.3%
동 57
 
3.5%
길 46
 
2.8%
Other values (98) 696
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
60.8%
Space Separator 299
 
18.4%
Decimal Number 232
 
14.3%
Close Punctuation 37
 
2.3%
Open Punctuation 37
 
2.3%
Dash Punctuation 16
 
1.0%
Other Punctuation 16
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 82
 
8.3%
남 80
 
8.1%
보 75
 
7.6%
령 75
 
7.6%
충 72
 
7.3%
시 71
 
7.2%
도 70
 
7.1%
동 57
 
5.8%
길 46
 
4.7%
대 36
 
3.7%
Other values (83) 322
32.7%
Decimal Number
ValueCountFrequency (%)
1 40
17.2%
2 40
17.2%
3 29
12.5%
5 24
10.3%
0 22
9.5%
4 20
8.6%
6 19
8.2%
7 14
 
6.0%
8 13
 
5.6%
9 11
 
4.7%
Space Separator
ValueCountFrequency (%)
299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
60.8%
Common 637
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 82
 
8.3%
남 80
 
8.1%
보 75
 
7.6%
령 75
 
7.6%
충 72
 
7.3%
시 71
 
7.2%
도 70
 
7.1%
동 57
 
5.8%
길 46
 
4.7%
대 36
 
3.7%
Other values (83) 322
32.7%
Common
ValueCountFrequency (%)
299
46.9%
1 40
 
6.3%
2 40
 
6.3%
) 37
 
5.8%
( 37
 
5.8%
3 29
 
4.6%
5 24
 
3.8%
0 22
 
3.5%
4 20
 
3.1%
6 19
 
3.0%
Other values (5) 70
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
60.8%
ASCII 637
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
46.9%
1 40
 
6.3%
2 40
 
6.3%
) 37
 
5.8%
( 37
 
5.8%
3 29
 
4.6%
5 24
 
3.8%
0 22
 
3.5%
4 20
 
3.1%
6 19
 
3.0%
Other values (5) 70
 
11.0%
Hangul
ValueCountFrequency (%)
청 82
 
8.3%
남 80
 
8.1%
보 75
 
7.6%
령 75
 
7.6%
충 72
 
7.3%
시 71
 
7.2%
도 70
 
7.1%
동 57
 
5.8%
길 46
 
4.7%
대 36
 
3.7%
Other values (83) 322
32.7%

기관전화번호
Text

Distinct66
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-01-10T07:12:25.152589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014286
Min length12

Characters and Unicode

Total characters841
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

Unique62 ?
Unique (%)88.6%

Sample

1st row041-931-6111
2nd row041-933-6415
3rd row041-933-1144
4th row041-641-0060
5th row041-934-6337
ValueCountFrequency (%)
041-931-6111 2
 
2.9%
041-933-1337 2
 
2.9%
041-933-6755 2
 
2.9%
041-934-6337 2
 
2.9%
041-935-2419 1
 
1.4%
041-935-1988 1
 
1.4%
041-934-1771 1
 
1.4%
041-936-3386 1
 
1.4%
041-935-2225 1
 
1.4%
041-934-3844 1
 
1.4%
Other values (56) 56
80.0%
2024-01-10T07:12:25.462026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.6%
1 116
13.8%
3 110
13.1%
4 109
13.0%
0 105
12.5%
9 89
10.6%
6 44
 
5.2%
5 36
 
4.3%
8 32
 
3.8%
2 31
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 701
83.4%
Dash Punctuation 140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 116
16.5%
3 110
15.7%
4 109
15.5%
0 105
15.0%
9 89
12.7%
6 44
 
6.3%
5 36
 
5.1%
8 32
 
4.6%
2 31
 
4.4%
7 29
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 841
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.6%
1 116
13.8%
3 110
13.1%
4 109
13.0%
0 105
12.5%
9 89
10.6%
6 44
 
5.2%
5 36
 
4.3%
8 32
 
3.8%
2 31
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 841
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.6%
1 116
13.8%
3 110
13.1%
4 109
13.0%
0 105
12.5%
9 89
10.6%
6 44
 
5.2%
5 36
 
4.3%
8 32
 
3.8%
2 31
 
3.7%

팩스번호
Text

MISSING 

Distinct63
Distinct (%)92.6%
Missing2
Missing (%)2.9%
Memory size692.0 B
2024-01-10T07:12:25.675822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.058824
Min length12

Characters and Unicode

Total characters820
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

Unique58 ?
Unique (%)85.3%

Sample

1st row041-931-0152
2nd row041-933-7892
3rd row041-933-5420
4th row041-641-0063
5th row041-931-6338
ValueCountFrequency (%)
041-931-0152 2
 
2.9%
041-931-6338 2
 
2.9%
041-934-3530 2
 
2.9%
041-935-5666 2
 
2.9%
041-934-0674 2
 
2.9%
041-935-1772 1
 
1.5%
041-932-3133 1
 
1.5%
041-935-0553 1
 
1.5%
041-936-4655 1
 
1.5%
041-932-6988 1
 
1.5%
Other values (53) 53
77.9%
2024-01-10T07:12:26.045674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 136
16.6%
1 109
13.3%
4 104
12.7%
0 101
12.3%
3 98
12.0%
9 82
10.0%
6 48
 
5.9%
5 46
 
5.6%
2 44
 
5.4%
8 31
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 684
83.4%
Dash Punctuation 136
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 109
15.9%
4 104
15.2%
0 101
14.8%
3 98
14.3%
9 82
12.0%
6 48
7.0%
5 46
6.7%
2 44
6.4%
8 31
 
4.5%
7 21
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 820
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 136
16.6%
1 109
13.3%
4 104
12.7%
0 101
12.3%
3 98
12.0%
9 82
10.0%
6 48
 
5.9%
5 46
 
5.6%
2 44
 
5.4%
8 31
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 136
16.6%
1 109
13.3%
4 104
12.7%
0 101
12.3%
3 98
12.0%
9 82
10.0%
6 48
 
5.9%
5 46
 
5.6%
2 44
 
5.4%
8 31
 
3.8%

Interactions

2024-01-10T07:12:23.127750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:12:26.128590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명급여종류기관주소기관전화번호팩스번호
연번1.0001.0000.5960.5510.7200.668
기관명1.0001.0001.0001.0001.0001.000
급여종류0.5961.0001.0000.0000.0000.000
기관주소0.5511.0000.0001.0001.0001.000
기관전화번호0.7201.0000.0001.0001.0001.000
팩스번호0.6681.0000.0001.0001.0001.000
2024-01-10T07:12:26.206915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류
연번1.0000.290
급여종류0.2901.000

Missing values

2024-01-10T07:12:23.217179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:12:23.295189image/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

연번기관명급여종류기관주소기관전화번호팩스번호
01행복한집노인요양시설(개정법),치매전담실 나형 1실충청남도 보령시 남포면 봉덕2길 14041-931-6111041-931-0152
12보령실버홈노인요양시설(개정법)충청남도 보령시 남포면 보령남로 205041-933-6415041-933-7892
23보령요양원노인요양시설(개정법)충청남도 보령시 남포면 보령남로 207041-933-1144041-933-5420
34노인전문 살렘요양원노인요양시설(개정법)충청남도 보령시 천북면 심박동길 92041-641-0060041-641-0063
45브라보 노인요양공동생활가정노인요양공동생활가정충청남도 보령시 청소면 송덕신송길 337-61041-934-6337041-931-6338
56충청남도 도립요양원노인요양시설(개정법),치매전담실 가형 1실충청남도 보령시 주교면 척골길 233041-933-3003041-933-3005
67소화데레사의집노인요양시설(개정법)충청남도 보령시 대량비선재길 65-69 (신흑동)041-932-3918041-932-3919
78청소노인요양공동생활가정노인요양공동생활가정충청남도 보령시 청소면 송덕신송길 337-60041-933-1337<NA>
89보금자리요양원노인요양시설(개정법)충청남도 보령시 웅천읍 한내1길 270041-932-1006041-932-6700
910삼육소담노인요양공동생활가정노인요양공동생활가정충청남도 보령시 청소면 마참길 42-27041-934-3536041-933-3644
연번기관명급여종류기관주소기관전화번호팩스번호
6061힐링재가복지센터방문요양,방문목욕,방문간호충청남도 보령시 번영로 38, 5층 (대천동)041-935-8508041-933-5399
6162산돌간호재가복지센터방문요양,방문목욕,방문간호충청남도 보령시 명동로 4 (대천동)041-932-6004041-932-6001
6263보령밀알교회부설그루터기재가복지센터방문요양,방문목욕,주야간보호충청남도 보령시 서낭댕이길 11-1 (동대동)041-931-0999041-934-0972
6364예가방문요양센터방문요양,방문목욕충청남도 보령시 천변북길 81 (대천동)041-936-3188041-934-3188
6465보령사랑노인복지센터방문요양,방문목욕충청남도 보령시 남포면 사현1길 62041-936-3332041-935-5666
6566향천재가복지센터방문요양충청남도 보령시 청라면 향천리길 65041-932-8581041-931-8581
6667늘푸른복지용구복지용구제공사업소충청남도 보령시 큰오랏7길 14 (동대동)041-931-70800504-067-4296
6768주향노인복지센터방문요양,방문목욕충청남도 보령시 보령북로 48 (대천동)041-933-7949041-935-6613
6869금빛주야간보호센터주야간보호충청남도 보령시 청라면 백현장산길 2041-934-6566041-934-6567
6970가족사랑요양센터방문요양충청남도 보령시 원동2길 28 (대천동)041-935-6448041-935-6447