Overview

Dataset statistics

Number of variables11
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory92.3 B

Variable types

Text4
Categorical3
DateTime2
Numeric2

Dataset

Description전라남도 화순군 노인복지시설 현황으로 구분, 기관명, 급여종류, 대표자, 설립구분, 지정일자, 기관주소, 연락처 등을 제공합니다.
URLhttps://www.data.go.kr/data/3074330/fileData.do

Alerts

데이터기준일 has constant value ""Constant
시설구분 is highly overall correlated with 급여구분High correlation
급여구분 is highly overall correlated with 시설구분High correlation
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:54:41.149149
Analysis finished2023-12-12 16:54:42.778132
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T01:54:42.922177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.4736842
Min length3

Characters and Unicode

Total characters483
Distinct characters104
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row나드리노인복지관
2nd row소향원
3rd row사평예랑의집
4th row신부모사랑실버빌
5th row아름다운실버빌
ValueCountFrequency (%)
동심의료기 2
 
3.3%
효드림노인복지센터 1
 
1.7%
중앙노인복지센터 1
 
1.7%
선향노인복지센터 1
 
1.7%
화순사랑복지센터 1
 
1.7%
재활노인복지센터 1
 
1.7%
채움노인복지센터 1
 
1.7%
성경노인복지센터 1
 
1.7%
한우리재가복지센터 1
 
1.7%
고려종합노인복지센터 1
 
1.7%
Other values (49) 49
81.7%
2023-12-13T01:54:43.288125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
7.5%
36
 
7.5%
30
 
6.2%
30
 
6.2%
28
 
5.8%
28
 
5.8%
16
 
3.3%
13
 
2.7%
10
 
2.1%
10
 
2.1%
Other values (94) 246
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
98.1%
Space Separator 3
 
0.6%
Decimal Number 3
 
0.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
7.6%
36
 
7.6%
30
 
6.3%
30
 
6.3%
28
 
5.9%
28
 
5.9%
16
 
3.4%
13
 
2.7%
10
 
2.1%
10
 
2.1%
Other values (88) 237
50.0%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
98.1%
Common 9
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
7.6%
36
 
7.6%
30
 
6.3%
30
 
6.3%
28
 
5.9%
28
 
5.9%
16
 
3.4%
13
 
2.7%
10
 
2.1%
10
 
2.1%
Other values (88) 237
50.0%
Common
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
( 1
 
11.1%
) 1
 
11.1%
1 1
 
11.1%
, 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
98.1%
ASCII 9
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
 
7.6%
36
 
7.6%
30
 
6.3%
30
 
6.3%
28
 
5.9%
28
 
5.9%
16
 
3.4%
13
 
2.7%
10
 
2.1%
10
 
2.1%
Other values (88) 237
50.0%
ASCII
ValueCountFrequency (%)
3
33.3%
0 2
22.2%
( 1
 
11.1%
) 1
 
11.1%
1 1
 
11.1%
, 1
 
11.1%

시설구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
재가장기요양기관
41 
노인의료복지시설
14 
노인여가복지시설
 
1
노인주거복지시설
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)3.5%

Sample

1st row노인여가복지시설
2nd row노인주거복지시설
3rd row노인의료복지시설
4th row노인의료복지시설
5th row노인의료복지시설

Common Values

ValueCountFrequency (%)
재가장기요양기관 41
71.9%
노인의료복지시설 14
 
24.6%
노인여가복지시설 1
 
1.8%
노인주거복지시설 1
 
1.8%

Length

2023-12-13T01:54:43.409979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:54:43.509539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가장기요양기관 41
71.9%
노인의료복지시설 14
 
24.6%
노인여가복지시설 1
 
1.8%
노인주거복지시설 1
 
1.8%

급여구분
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
방문요양,방문목욕
19 
노인요양시설
11 
주야간보호
복지용구
방문요양
Other values (6)
12 

Length

Max length15
Median length10
Mean length7.5438596
Min length4

Unique

Unique3 ?
Unique (%)5.3%

Sample

1st row이용시설
2nd row양로시설
3rd row노인요양공동생활가정
4th row노인요양공동생활가정
5th row노인요양공동생활가정

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 19
33.3%
노인요양시설 11
19.3%
주야간보호 6
 
10.5%
복지용구 5
 
8.8%
방문요양 4
 
7.0%
방문요양,방문목욕,주야간보호 4
 
7.0%
노인요양공동생활가정 3
 
5.3%
방문요양,주야간보호 2
 
3.5%
이용시설 1
 
1.8%
양로시설 1
 
1.8%

Length

2023-12-13T01:54:43.620916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양,방문목욕 19
33.3%
노인요양시설 11
19.3%
주야간보호 6
 
10.5%
복지용구 5
 
8.8%
방문요양 4
 
7.0%
방문요양,방문목욕,주야간보호 4
 
7.0%
노인요양공동생활가정 3
 
5.3%
방문요양,주야간보호 2
 
3.5%
이용시설 1
 
1.8%
양로시설 1
 
1.8%

설립구분
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
개인
42 
법인
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 42
73.7%
법인 15
 
26.3%

Length

2023-12-13T01:54:43.729933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:54:43.842612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 42
73.7%
법인 15
 
26.3%
Distinct52
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum1996-10-17 00:00:00
Maximum2023-04-05 00:00:00
2023-12-13T01:54:43.956644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:54:44.110900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct45
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T01:54:44.498992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length20.333333
Min length18

Characters and Unicode

Total characters1159
Distinct characters92
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)61.4%

Sample

1st row전라남도 화순군 화순읍 학포로 2642
2nd row전라남도 화순군 춘양면 학포로 1303-1
3rd row전라남도 화순군 사평면 김삿갓로 18
4th row전라남도 화순군 능주면 정암길 45
5th row전라남도 화순군 화순읍 중주길 2
ValueCountFrequency (%)
전라남도 57
19.9%
화순군 57
19.9%
화순읍 37
 
12.9%
학포로 6
 
2.1%
동면 6
 
2.1%
95 5
 
1.7%
칠충로 4
 
1.4%
능주면 4
 
1.4%
23 3
 
1.0%
진각로 3
 
1.0%
Other values (77) 104
36.4%
2023-12-13T01:54:44.967559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
19.8%
94
 
8.1%
94
 
8.1%
61
 
5.3%
57
 
4.9%
57
 
4.9%
57
 
4.9%
57
 
4.9%
1 40
 
3.5%
37
 
3.2%
Other values (82) 376
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 754
65.1%
Space Separator 229
 
19.8%
Decimal Number 157
 
13.5%
Dash Punctuation 17
 
1.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
94
12.5%
94
12.5%
61
 
8.1%
57
 
7.6%
57
 
7.6%
57
 
7.6%
57
 
7.6%
37
 
4.9%
35
 
4.6%
22
 
2.9%
Other values (68) 183
24.3%
Decimal Number
ValueCountFrequency (%)
1 40
25.5%
2 23
14.6%
3 19
12.1%
5 18
11.5%
6 11
 
7.0%
7 11
 
7.0%
8 10
 
6.4%
9 9
 
5.7%
4 8
 
5.1%
0 8
 
5.1%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 754
65.1%
Common 405
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
94
12.5%
94
12.5%
61
 
8.1%
57
 
7.6%
57
 
7.6%
57
 
7.6%
57
 
7.6%
37
 
4.9%
35
 
4.6%
22
 
2.9%
Other values (68) 183
24.3%
Common
ValueCountFrequency (%)
229
56.5%
1 40
 
9.9%
2 23
 
5.7%
3 19
 
4.7%
5 18
 
4.4%
- 17
 
4.2%
6 11
 
2.7%
7 11
 
2.7%
8 10
 
2.5%
9 9
 
2.2%
Other values (4) 18
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 754
65.1%
ASCII 405
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
56.5%
1 40
 
9.9%
2 23
 
5.7%
3 19
 
4.7%
5 18
 
4.4%
- 17
 
4.2%
6 11
 
2.7%
7 11
 
2.7%
8 10
 
2.5%
9 9
 
2.2%
Other values (4) 18
 
4.4%
Hangul
ValueCountFrequency (%)
94
12.5%
94
12.5%
61
 
8.1%
57
 
7.6%
57
 
7.6%
57
 
7.6%
57
 
7.6%
37
 
4.9%
35
 
4.6%
22
 
2.9%
Other values (68) 183
24.3%
Distinct45
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T01:54:45.284169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length23.22807
Min length20

Characters and Unicode

Total characters1324
Distinct characters109
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

Unique35 ?
Unique (%)61.4%

Sample

1st row전라남도 화순군 화순읍 강정리 139 나드리노인복지관
2nd row전라남도 화순군 춘양면 우봉리 495-1 소향원
3rd row전라남도 화순군 사평면 사평리 100-2 사평예랑의집
4th row전라남도 화순군 능주면 정남리 266 노인복지시설
5th row전라남도 화순군 화순읍 만연리 129
ValueCountFrequency (%)
전라남도 57
18.8%
화순군 57
18.8%
화순읍 37
 
12.2%
삼천리 9
 
3.0%
동면 6
 
2.0%
향청리 5
 
1.6%
광덕리 5
 
1.6%
일심리 4
 
1.3%
능주면 4
 
1.3%
교리 4
 
1.3%
Other values (85) 116
38.2%
2023-12-13T01:54:45.703439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
18.7%
99
 
7.5%
99
 
7.5%
61
 
4.6%
59
 
4.5%
58
 
4.4%
58
 
4.4%
57
 
4.3%
57
 
4.3%
1 38
 
2.9%
Other values (99) 491
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 843
63.7%
Space Separator 247
 
18.7%
Decimal Number 201
 
15.2%
Dash Punctuation 33
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
99
11.7%
99
11.7%
61
 
7.2%
59
 
7.0%
58
 
6.9%
58
 
6.9%
57
 
6.8%
57
 
6.8%
37
 
4.4%
20
 
2.4%
Other values (87) 238
28.2%
Decimal Number
ValueCountFrequency (%)
1 38
18.9%
6 30
14.9%
2 24
11.9%
9 20
10.0%
4 19
9.5%
5 19
9.5%
3 18
9.0%
8 13
 
6.5%
7 10
 
5.0%
0 10
 
5.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 843
63.7%
Common 481
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
99
11.7%
99
11.7%
61
 
7.2%
59
 
7.0%
58
 
6.9%
58
 
6.9%
57
 
6.8%
57
 
6.8%
37
 
4.4%
20
 
2.4%
Other values (87) 238
28.2%
Common
ValueCountFrequency (%)
247
51.4%
1 38
 
7.9%
- 33
 
6.9%
6 30
 
6.2%
2 24
 
5.0%
9 20
 
4.2%
4 19
 
4.0%
5 19
 
4.0%
3 18
 
3.7%
8 13
 
2.7%
Other values (2) 20
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 843
63.7%
ASCII 481
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
51.4%
1 38
 
7.9%
- 33
 
6.9%
6 30
 
6.2%
2 24
 
5.0%
9 20
 
4.2%
4 19
 
4.0%
5 19
 
4.0%
3 18
 
3.7%
8 13
 
2.7%
Other values (2) 20
 
4.2%
Hangul
ValueCountFrequency (%)
99
11.7%
99
11.7%
61
 
7.2%
59
 
7.0%
58
 
6.9%
58
 
6.9%
57
 
6.8%
57
 
6.8%
37
 
4.4%
20
 
2.4%
Other values (87) 238
28.2%

위도
Real number (ℝ)

Distinct45
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.036874
Minimum34.86825
Maximum35.136646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T01:54:45.883096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.86825
5-th percentile34.943071
Q135.029155
median35.055875
Q335.060772
95-th percentile35.068328
Maximum35.136646
Range0.26839645
Interquartile range (IQR)0.03161683

Descriptive statistics

Standard deviation0.046559115
Coefficient of variation (CV)0.0013288604
Kurtosis5.1840262
Mean35.036874
Median Absolute Deviation (MAD)0.00967082
Skewness-2.0048395
Sum1997.1018
Variance0.0021677512
MonotonicityNot monotonic
2023-12-13T01:54:46.061521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
35.05795296 3
 
5.3%
34.94307095 3
 
5.3%
35.04268582 2
 
3.5%
35.03725822 2
 
3.5%
35.06018741 2
 
3.5%
35.05425383 2
 
3.5%
34.86824956 2
 
3.5%
35.07149041 2
 
3.5%
35.01441802 2
 
3.5%
35.01097278 2
 
3.5%
Other values (35) 35
61.4%
ValueCountFrequency (%)
34.86824956 2
3.5%
34.94307095 3
5.3%
34.99077146 1
 
1.8%
34.99214402 1
 
1.8%
34.99567574 1
 
1.8%
35.00826642 1
 
1.8%
35.01097278 2
3.5%
35.01441802 2
3.5%
35.02731104 1
 
1.8%
35.02915503 1
 
1.8%
ValueCountFrequency (%)
35.13664601 1
1.8%
35.07149041 2
3.5%
35.06753776 1
1.8%
35.06556272 1
1.8%
35.06554627 1
1.8%
35.06389087 1
1.8%
35.0638581 1
1.8%
35.06323074 1
1.8%
35.06252376 1
1.8%
35.06245438 1
1.8%

경도
Real number (ℝ)

Distinct45
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99003
Minimum126.91246
Maximum127.09489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T01:54:46.240697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.91246
5-th percentile126.94809
Q1126.97482
median126.98536
Q3126.99098
95-th percentile127.06225
Maximum127.09489
Range0.1824393
Interquartile range (IQR)0.0161629

Descriptive statistics

Standard deviation0.03673052
Coefficient of variation (CV)0.00028923941
Kurtosis1.859506
Mean126.99003
Median Absolute Deviation (MAD)0.0073732
Skewness0.96572395
Sum7238.4316
Variance0.0013491311
MonotonicityNot monotonic
2023-12-13T01:54:46.459717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
126.9806057 3
 
5.3%
126.9748156 3
 
5.3%
126.9539182 2
 
3.5%
126.9833774 2
 
3.5%
126.9807789 2
 
3.5%
126.986866 2
 
3.5%
127.0213427 2
 
3.5%
127.0580935 2
 
3.5%
126.9124553 2
 
3.5%
126.9529811 2
 
3.5%
Other values (35) 35
61.4%
ValueCountFrequency (%)
126.9124553 2
3.5%
126.9285372 1
 
1.8%
126.9529811 2
3.5%
126.9539182 2
3.5%
126.9542961 1
 
1.8%
126.9572238 1
 
1.8%
126.9658416 1
 
1.8%
126.9681031 1
 
1.8%
126.9745936 1
 
1.8%
126.9748156 3
5.3%
ValueCountFrequency (%)
127.0948946 1
1.8%
127.0921777 1
1.8%
127.0775141 1
1.8%
127.0584365 1
1.8%
127.0580935 2
3.5%
127.0351074 1
1.8%
127.0333443 1
1.8%
127.0213427 2
3.5%
126.9996787 1
1.8%
126.9966015 1
1.8%
Distinct49
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T01:54:46.810346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique41 ?
Unique (%)71.9%

Sample

1st row061-371-1166
2nd row061-371-6406
3rd row061-373-1900
4th row061-373-6947
5th row061-374-6478
ValueCountFrequency (%)
061-371-3113 2
 
3.5%
061-371-0117 2
 
3.5%
061-372-0677 2
 
3.5%
061-372-1022 2
 
3.5%
061-373-7712 2
 
3.5%
061-371-6900 2
 
3.5%
061-372-0038 2
 
3.5%
061-373-1907 2
 
3.5%
061-375-9131 1
 
1.8%
061-375-9235 1
 
1.8%
Other values (39) 39
68.4%
2023-12-13T01:54:47.328081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.7%
0 104
15.2%
1 103
15.1%
3 89
13.0%
6 85
12.4%
7 79
11.5%
2 30
 
4.4%
8 25
 
3.7%
4 23
 
3.4%
5 17
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
18.2%
1 103
18.1%
3 89
15.6%
6 85
14.9%
7 79
13.9%
2 30
 
5.3%
8 25
 
4.4%
4 23
 
4.0%
5 17
 
3.0%
9 15
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.7%
0 104
15.2%
1 103
15.1%
3 89
13.0%
6 85
12.4%
7 79
11.5%
2 30
 
4.4%
8 25
 
3.7%
4 23
 
3.4%
5 17
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.7%
0 104
15.2%
1 103
15.1%
3 89
13.0%
6 85
12.4%
7 79
11.5%
2 30
 
4.4%
8 25
 
3.7%
4 23
 
3.4%
5 17
 
2.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2023-12-13T01:54:47.478321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:54:47.595253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:54:42.038892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:54:41.824657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:54:42.141602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:54:41.925974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:54:47.676614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설구분급여구분설립구분지정일자소재지도로명주소소재지지번주소위도경도전화번호
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설구분1.0001.0001.0000.3550.9410.0000.0000.4290.0000.800
급여구분1.0001.0001.0000.4600.8180.0000.0000.4510.0000.731
설립구분1.0000.3550.4601.0001.0001.0001.0000.4540.3781.000
지정일자1.0000.9410.8181.0001.0000.9890.9890.9410.0000.989
소재지도로명주소1.0000.0000.0001.0000.9891.0001.0001.0001.0001.000
소재지지번주소1.0000.0000.0001.0000.9891.0001.0001.0001.0001.000
위도1.0000.4290.4510.4540.9411.0001.0001.0000.7771.000
경도1.0000.0000.0000.3780.0001.0001.0000.7771.0001.000
전화번호1.0000.8000.7311.0000.9891.0001.0001.0001.0001.000
2023-12-13T01:54:47.809059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분급여구분설립구분
시설구분1.0000.9320.231
급여구분0.9321.0000.401
설립구분0.2310.4011.000
2023-12-13T01:54:47.923425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설구분급여구분설립구분
위도1.0000.3590.2970.2250.463
경도0.3591.0000.0000.0000.350
시설구분0.2970.0001.0000.9320.231
급여구분0.2250.0000.9321.0000.401
설립구분0.4630.3500.2310.4011.000

Missing values

2023-12-13T01:54:42.566356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:54:42.724588image/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

시설명시설구분급여구분설립구분지정일자소재지도로명주소소재지지번주소위도경도전화번호데이터기준일
0나드리노인복지관노인여가복지시설이용시설법인2010-01-29전라남도 화순군 화순읍 학포로 2642전라남도 화순군 화순읍 강정리 139 나드리노인복지관35.046032126.968103061-371-11662023-08-14
1소향원노인주거복지시설양로시설법인1996-10-17전라남도 화순군 춘양면 학포로 1303-1전라남도 화순군 춘양면 우봉리 495-1 소향원34.943071126.974816061-371-64062023-08-14
2사평예랑의집노인의료복지시설노인요양공동생활가정개인2009-01-13전라남도 화순군 사평면 김삿갓로 18전라남도 화순군 사평면 사평리 100-2 사평예랑의집35.008266127.094895061-373-19002023-08-14
3신부모사랑실버빌노인의료복지시설노인요양공동생활가정개인2020-03-06전라남도 화순군 능주면 정암길 45전라남도 화순군 능주면 정남리 266 노인복지시설34.992144126.954296061-373-69472023-08-14
4아름다운실버빌노인의료복지시설노인요양공동생활가정개인2015-01-15전라남도 화순군 화순읍 중주길 2전라남도 화순군 화순읍 만연리 12935.061762126.988118061-374-64782023-08-14
5더불어재활요양원노인의료복지시설노인요양시설개인2019-09-18전라남도 화순군 능주면 너머터길 5전라남도 화순군 능주면 원지리 18535.010973126.952981061-371-69002023-08-14
6은빛소망요양원노인의료복지시설노인요양시설개인2019-12-01전라남도 화순군 도곡면 지강로 183전라남도 화순군 도곡면 천암리 696-2935.014418126.912455061-372-00382023-08-14
7신도곡실버타운노인의료복지시설노인요양시설개인2020-03-06전라남도 화순군 도곡면 지석로 1218-18전라남도 화순군 도곡면 대곡리 779-1 신도곡실버타운34.995676126.928537061-373-88382023-08-14
8화순햇살요양원노인의료복지시설노인요양시설개인2018-01-30전라남도 화순군 동면 규봉로 387-27전라남도 화순군 동면 청궁리 96-135.07149127.058093061-373-77122023-08-14
9소망요양원노인의료복지시설노인요양시설개인2010-08-18전라남도 화순군 동면 충의로 715-4전라남도 화순군 동면 장동리 683-135.029155127.035107061-372-65472023-08-14
시설명시설구분급여구분설립구분지정일자소재지도로명주소소재지지번주소위도경도전화번호데이터기준일
47소향노인주간보호센터재가장기요양기관주야간보호법인2019-12-03전라남도 화순군 춘양면 학포로 1303-1전라남도 화순군 춘양면 우봉리 495-1 소향원34.943071126.974816061-371-00582023-08-14
48연비재활노인복지센터재가장기요양기관방문요양,방문목욕,주야간보호개인2017-08-07전라남도 화순군 화순읍 덕촌길 36-1전라남도 화순군 화순읍 광덕리 15335.054254126.986866061-372-06772023-08-14
49한마음재가노인복지센터재가장기요양기관방문요양,방문목욕,주야간보호개인2017-08-23전라남도 화순군 화순읍 소천길 19-1전라남도 화순군 화순읍 신기리 268-135.065563126.989363061-372-88992023-08-14
50현대주야간보호센터재가장기요양기관주야간보호법인2018-04-20전라남도 화순군 화순읍 쌍충로 95전라남도 화순군 화순읍 교리 249 현대요양병원35.060187126.980779061-371-01172023-08-14
51평안 노인주간보호센터재가장기요양기관주야간보호개인2019-12-17전라남도 화순군 화순읍 충의로 70전라남도 화순군 화순읍 삼천리 580-2135.055518126.985363061-374-05102023-08-14
52은성복지용구재가장기요양기관복지용구개인2010-05-31전라남도 화순군 화순읍 만연로 10전라남도 화순군 화순읍 광덕리 32535.056482126.990333061-373-98662023-08-14
53100세의료기재가장기요양기관복지용구개인2013-01-21전라남도 화순군 화순읍 자치샘로 64전라남도 화순군 화순읍 향청리 36-135.060595126.98765061-375-41002023-08-14
54강산의료기재가장기요양기관복지용구개인2018-11-01전라남도 화순군 화순읍 칠충로 116전라남도 화순군 화순읍 삼천리 617-535.059173126.982345061-373-37002023-08-14
55신 동심의료기재가장기요양기관복지용구개인2018-07-12전라남도 화순군 화순읍 칠충로 95전라남도 화순군 화순읍 삼천리 641-335.057953126.980606061-371-31132023-08-14
56동심의료기재가장기요양기관복지용구개인2012-08-13전라남도 화순군 화순읍 칠충로 95전라남도 화순군 화순읍 삼천리 641-335.057953126.980606061-371-31132023-08-14