Overview

Dataset statistics

Number of variables6
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description전라남도 여수시에 위치하는 노인재가 장기요양기관(노인재가복지시설포함)의 (급여종류, 기관명, 대표자, 소재지, 연락처)등 정보 제공
URLhttps://www.data.go.kr/data/15048116/fileData.do

Alerts

연번 has unique valuesUnique
기관명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호_팩스 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:16:17.826039
Analysis finished2023-12-12 02:16:18.316163
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T11:16:18.384849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-12-12T11:16:18.506320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

급여종류
Categorical

Distinct9
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
방문요양
40 
방문요양,방문목욕
27 
방문요양,주야간보호
15 
방문요양,방문목욕,주야간보호
11 
주야간보호
7 
Other values (4)
10 

Length

Max length21
Median length20
Mean length7.8727273
Min length4

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row주야간보호
2nd row방문요양,주야간보호
3rd row방문요양,방문목욕
4th row방문요양
5th row복지용구제공사업소

Common Values

ValueCountFrequency (%)
방문요양 40
36.4%
방문요양,방문목욕 27
24.5%
방문요양,주야간보호 15
 
13.6%
방문요양,방문목욕,주야간보호 11
 
10.0%
주야간보호 7
 
6.4%
복지용구제공사업소 6
 
5.5%
방문요양,방문간호 2
 
1.8%
주야간보호,주야간보호 내 치매전담 1실 1
 
0.9%
방문요양,주야간보호,복지용구제공사업소 1
 
0.9%

Length

2023-12-12T11:16:18.997926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:19.124318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 40
35.4%
방문요양,방문목욕 27
23.9%
방문요양,주야간보호 15
 
13.3%
방문요양,방문목욕,주야간보호 11
 
9.7%
주야간보호 7
 
6.2%
복지용구제공사업소 6
 
5.3%
방문요양,방문간호 2
 
1.8%
주야간보호,주야간보호 1
 
0.9%
내 1
 
0.9%
치매전담 1
 
0.9%
Other values (2) 2
 
1.8%

기관명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T11:16:19.394708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.8181818
Min length5

Characters and Unicode

Total characters1080
Distinct characters150
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

Unique110 ?
Unique (%)100.0%

Sample

1st row가가호호즐거운재가노인복지센터
2nd row가장큰사랑노인주간보호센터
3rd row감나무협동조합재가복지센터여수점
4th row강남노인복지센터
5th row건강바이오의료기
ValueCountFrequency (%)
가가호호즐거운재가노인복지센터 1
 
0.9%
소망재가노인복지센터 1
 
0.9%
에벤에셀노인복지센터 1
 
0.9%
에덴동산재가노인복지센터 1
 
0.9%
아브라함노인복지센터 1
 
0.9%
아름다운노인복지센터 1
 
0.9%
노인복지센터 1
 
0.9%
쌍봉 1
 
0.9%
실버노인재가복지센터 1
 
0.9%
시전노인복지센터 1
 
0.9%
Other values (107) 107
91.5%
2023-12-12T11:16:19.882814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 105
 
9.7%
센 105
 
9.7%
복 103
 
9.5%
지 101
 
9.4%
인 96
 
8.9%
노 94
 
8.7%
가 52
 
4.8%
재 47
 
4.4%
수 15
 
1.4%
여 14
 
1.3%
Other values (140) 348
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1071
99.2%
Space Separator 7
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 105
 
9.8%
센 105
 
9.8%
복 103
 
9.6%
지 101
 
9.4%
인 96
 
9.0%
노 94
 
8.8%
가 52
 
4.9%
재 47
 
4.4%
수 15
 
1.4%
여 14
 
1.3%
Other values (137) 339
31.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1071
99.2%
Common 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 105
 
9.8%
센 105
 
9.8%
복 103
 
9.6%
지 101
 
9.4%
인 96
 
9.0%
노 94
 
8.8%
가 52
 
4.9%
재 47
 
4.4%
수 15
 
1.4%
여 14
 
1.3%
Other values (137) 339
31.7%
Common
ValueCountFrequency (%)
7
77.8%
) 1
 
11.1%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1071
99.2%
ASCII 9
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 105
 
9.8%
센 105
 
9.8%
복 103
 
9.6%
지 101
 
9.4%
인 96
 
9.0%
노 94
 
8.8%
가 52
 
4.9%
재 47
 
4.4%
수 15
 
1.4%
여 14
 
1.3%
Other values (137) 339
31.7%
ASCII
ValueCountFrequency (%)
7
77.8%
) 1
 
11.1%
( 1
 
11.1%

대표자
Text

Distinct104
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T11:16:20.254776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters330
Distinct characters97
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)90.0%

Sample

1st row박희랑
2nd row배옥례
3rd row임석인
4th row안규철
5th row박나연
ValueCountFrequency (%)
김전충 3
 
2.7%
김정욱 2
 
1.8%
이인옥 2
 
1.8%
배옥례 2
 
1.8%
최명자 2
 
1.8%
조한나 1
 
0.9%
박희경 1
 
0.9%
장진석 1
 
0.9%
유기쁨 1
 
0.9%
박미라 1
 
0.9%
Other values (94) 94
85.5%
2023-12-12T11:16:20.766412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 31
 
9.4%
정 21
 
6.4%
이 12
 
3.6%
미 10
 
3.0%
연 9
 
2.7%
숙 9
 
2.7%
박 9
 
2.7%
영 8
 
2.4%
자 7
 
2.1%
인 7
 
2.1%
Other values (87) 207
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 31
 
9.4%
정 21
 
6.4%
이 12
 
3.6%
미 10
 
3.0%
연 9
 
2.7%
숙 9
 
2.7%
박 9
 
2.7%
영 8
 
2.4%
자 7
 
2.1%
인 7
 
2.1%
Other values (87) 207
62.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 31
 
9.4%
정 21
 
6.4%
이 12
 
3.6%
미 10
 
3.0%
연 9
 
2.7%
숙 9
 
2.7%
박 9
 
2.7%
영 8
 
2.4%
자 7
 
2.1%
인 7
 
2.1%
Other values (87) 207
62.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 31
 
9.4%
정 21
 
6.4%
이 12
 
3.6%
미 10
 
3.0%
연 9
 
2.7%
숙 9
 
2.7%
박 9
 
2.7%
영 8
 
2.4%
자 7
 
2.1%
인 7
 
2.1%
Other values (87) 207
62.7%

소재지
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T11:16:21.091063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length20.972727
Min length14

Characters and Unicode

Total characters2307
Distinct characters116
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

Unique110 ?
Unique (%)100.0%

Sample

1st row 여수시 둔덕9길 10 (둔덕동)
2nd row 여수시 신월로 496-2 (신월동, 2,3,4층)
3rd row 여수시 허문정1길 56 (문수동)
4th row 여수시 대학로 28, 2층 (미평동)
5th row 여수시 문수로 161 (문수동)
ValueCountFrequency (%)
여수시 110
 
22.0%
2층 17
 
3.4%
신월로 13
 
2.6%
문수동 12
 
2.4%
1층 10
 
2.0%
학동 10
 
2.0%
신기동 10
 
2.0%
여서동 8
 
1.6%
소라면 7
 
1.4%
좌수영로 6
 
1.2%
Other values (214) 297
59.4%
2023-12-12T11:16:21.580983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
21.7%
수 132
 
5.7%
여 127
 
5.5%
시 118
 
5.1%
동 112
 
4.9%
1 109
 
4.7%
) 97
 
4.2%
( 97
 
4.2%
2 66
 
2.9%
로 58
 
2.5%
Other values (106) 891
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
48.7%
Space Separator 500
21.7%
Decimal Number 399
 
17.3%
Close Punctuation 97
 
4.2%
Open Punctuation 97
 
4.2%
Other Punctuation 54
 
2.3%
Dash Punctuation 36
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 132
 
11.7%
여 127
 
11.3%
시 118
 
10.5%
동 112
 
10.0%
로 58
 
5.2%
길 52
 
4.6%
층 37
 
3.3%
신 36
 
3.2%
문 29
 
2.6%
서 23
 
2.0%
Other values (91) 400
35.6%
Decimal Number
ValueCountFrequency (%)
1 109
27.3%
2 66
16.5%
3 50
12.5%
4 36
 
9.0%
0 28
 
7.0%
7 26
 
6.5%
6 23
 
5.8%
9 23
 
5.8%
5 22
 
5.5%
8 16
 
4.0%
Space Separator
ValueCountFrequency (%)
500
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1183
51.3%
Hangul 1124
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 132
 
11.7%
여 127
 
11.3%
시 118
 
10.5%
동 112
 
10.0%
로 58
 
5.2%
길 52
 
4.6%
층 37
 
3.3%
신 36
 
3.2%
문 29
 
2.6%
서 23
 
2.0%
Other values (91) 400
35.6%
Common
ValueCountFrequency (%)
500
42.3%
1 109
 
9.2%
) 97
 
8.2%
( 97
 
8.2%
2 66
 
5.6%
, 54
 
4.6%
3 50
 
4.2%
- 36
 
3.0%
4 36
 
3.0%
0 28
 
2.4%
Other values (5) 110
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1183
51.3%
Hangul 1124
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
500
42.3%
1 109
 
9.2%
) 97
 
8.2%
( 97
 
8.2%
2 66
 
5.6%
, 54
 
4.6%
3 50
 
4.2%
- 36
 
3.0%
4 36
 
3.0%
0 28
 
2.4%
Other values (5) 110
 
9.3%
Hangul
ValueCountFrequency (%)
수 132
 
11.7%
여 127
 
11.3%
시 118
 
10.5%
동 112
 
10.0%
로 58
 
5.2%
길 52
 
4.6%
층 37
 
3.3%
신 36
 
3.2%
문 29
 
2.6%
서 23
 
2.0%
Other values (91) 400
35.6%

전화번호_팩스
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T11:16:21.869512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009091
Min length12

Characters and Unicode

Total characters1321
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

Unique110 ?
Unique (%)100.0%

Sample

1st row061-691-3551
2nd row061-654-7773
3rd row061-655-1383
4th row061-651-3900
5th row061-655-3272
ValueCountFrequency (%)
061-691-3551 1
 
0.9%
061-691-9922 1
 
0.9%
061-644-4661 1
 
0.9%
061-681-7741 1
 
0.9%
061-684-1141 1
 
0.9%
061-653-8585 1
 
0.9%
061-685-4455 1
 
0.9%
010-684-3805 1
 
0.9%
061-683-8811 1
 
0.9%
061-651-7711 1
 
0.9%
Other values (100) 100
90.9%
2023-12-12T11:16:22.337297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 255
19.3%
- 220
16.7%
0 188
14.2%
1 180
13.6%
5 98
 
7.4%
8 78
 
5.9%
3 67
 
5.1%
4 66
 
5.0%
2 59
 
4.5%
7 58
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1101
83.3%
Dash Punctuation 220
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 255
23.2%
0 188
17.1%
1 180
16.3%
5 98
 
8.9%
8 78
 
7.1%
3 67
 
6.1%
4 66
 
6.0%
2 59
 
5.4%
7 58
 
5.3%
9 52
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 255
19.3%
- 220
16.7%
0 188
14.2%
1 180
13.6%
5 98
 
7.4%
8 78
 
5.9%
3 67
 
5.1%
4 66
 
5.0%
2 59
 
4.5%
7 58
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 255
19.3%
- 220
16.7%
0 188
14.2%
1 180
13.6%
5 98
 
7.4%
8 78
 
5.9%
3 67
 
5.1%
4 66
 
5.0%
2 59
 
4.5%
7 58
 
4.4%

Interactions

2023-12-12T11:16:18.085617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:16:22.448114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류
연번1.0000.000
급여종류0.0001.000
2023-12-12T11:16:22.542873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번급여종류
연번1.0000.000
급여종류0.0001.000

Missing values

2023-12-12T11:16:18.183164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:16:18.278771image/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

연번급여종류기관명대표자소재지전화번호_팩스
01주야간보호가가호호즐거운재가노인복지센터박희랑여수시 둔덕9길 10 (둔덕동)061-691-3551
12방문요양,주야간보호가장큰사랑노인주간보호센터배옥례여수시 신월로 496-2 (신월동, 2,3,4층)061-654-7773
23방문요양,방문목욕감나무협동조합재가복지센터여수점임석인여수시 허문정1길 56 (문수동)061-655-1383
34방문요양강남노인복지센터안규철여수시 대학로 28, 2층 (미평동)061-651-3900
45복지용구제공사업소건강바이오의료기박나연여수시 문수로 161 (문수동)061-655-3272
56방문요양,방문목욕,주야간보호꿈뜨레노인복지센터서홍심여수시 율촌면 동산개길 34-22061-681-7379
67방문요양나라재가복지센터정송화여수시 덕충안길 94, 129호 (덕충동)061-663-2720
78방문요양늘봄재가노인복지센터한호연여수시 신월로 612-1, 2층 (신월동)061-643-4521
89방문요양늘사랑재가복지센터김민서여수시 화산2길 3-11 (화장동)061-682-9084
910방문요양다사랑노인복지센터홍명례여수시 오림2길 20 (오림동)061-651-8090
연번급여종류기관명대표자소재지전화번호_팩스
100101방문요양한국노인복지센터이창복여수시 여서로 302, 305호 (여서동, 경남아파트상가)061-651-0755
101102방문요양,방문목욕한마음재가노인복지센터김하연여수시 신월로 744, 1층 (봉산동)061-692-2280
102103방문요양,방문목욕한빛재가노인복지센터김성연여수시 허문정3길 10 (문수동)061-654-0074
103104방문요양,방문목욕한사랑노인복지센터양승남여수시 시청로 21 (학동,2층)061-685-3375
104105방문요양,주야간보호한울재가노인복지센터김혜정여수시 신월8길 46-1, 1층 (신월동)061-681-6090
105106방문요양,방문목욕함께하는노인복지센터김미경여수시 해산1길 11 (해산동)061-651-8858
106107방문요양효나눔재가노인복지센터이승심여수시 동문로 81-1, 2층 (관문동)061-682-2625
107108방문요양효자노인복지센터변정은여수시 소라면 내기길 39061-681-6055
108109방문요양효자손노인복지센터정문숙여수시 미평남5길 13-4 (미평동)061-654-2121
109110방문요양,주야간보호흰돌노인복지센터윤정아여수시 동문로 102, 3층 (공화동)061-655-2280