Overview

Dataset statistics

Number of variables7
Number of observations138
Missing cells65
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory57.9 B

Variable types

Categorical3
Text3
Numeric1

Dataset

Description경기도 군포시 관내 노인요양기관 현황으로 분류, 명칭, 서비스종류, 정원(명), 주소, 전화번호, 데이터기준일자 항목을 제공합니다.
Author경기도 군포시
URLhttps://www.data.go.kr/data/3066347/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
분류 is highly overall correlated with 서비스종류High correlation
서비스종류 is highly overall correlated with 분류High correlation
정원 has 65 (47.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 15:09:11.312873
Analysis finished2024-03-14 15:09:12.597051
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
재가노인복지시설
44 
재가장기요양기관
42 
노인요양시설
33 
노인요양공동생활가정
19 

Length

Max length10
Median length8
Mean length7.7971014
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노인요양시설
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 44
31.9%
재가장기요양기관 42
30.4%
노인요양시설 33
23.9%
노인요양공동생활가정 19
13.8%

Length

2024-03-15T00:09:12.845017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:09:13.197898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 44
31.9%
재가장기요양기관 42
30.4%
노인요양시설 33
23.9%
노인요양공동생활가정 19
13.8%

명칭
Text

Distinct136
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:09:14.130557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16.5
Mean length8.9492754
Min length5

Characters and Unicode

Total characters1235
Distinct characters188
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)97.1%

Sample

1st row봄빛요양원
2nd row사랑행복실버타운
3rd row카네이션요양원
4th row군포시립노인요양센터
5th row너싱홈간호박사네
ValueCountFrequency (%)
군포 3
 
1.8%
우리요양원 3
 
1.8%
온유재가센터 2
 
1.2%
산본점 2
 
1.2%
재가복지센터 2
 
1.2%
주)다정종합복지센터 2
 
1.2%
노인복지센터 2
 
1.2%
재활플러스주간보호센터 2
 
1.2%
조은요양원 1
 
0.6%
산본방문재가센터 1
 
0.6%
Other values (146) 146
88.0%
2024-03-15T00:09:15.324391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 80
 
6.5%
터 77
 
6.2%
양 66
 
5.3%
요 65
 
5.3%
가 56
 
4.5%
재 55
 
4.5%
원 48
 
3.9%
복 43
 
3.5%
지 41
 
3.3%
28
 
2.3%
Other values (178) 676
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1167
94.5%
Space Separator 28
 
2.3%
Decimal Number 20
 
1.6%
Lowercase Letter 5
 
0.4%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Dash Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 80
 
6.9%
터 77
 
6.6%
양 66
 
5.7%
요 65
 
5.6%
가 56
 
4.8%
재 55
 
4.7%
원 48
 
4.1%
복 43
 
3.7%
지 41
 
3.5%
호 25
 
2.1%
Other values (165) 611
52.4%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
2 5
25.0%
0 4
20.0%
3 3
15.0%
9 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
i 1
 
20.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1166
94.4%
Common 62
 
5.0%
Latin 6
 
0.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 80
 
6.9%
터 77
 
6.6%
양 66
 
5.7%
요 65
 
5.6%
가 56
 
4.8%
재 55
 
4.7%
원 48
 
4.1%
복 43
 
3.7%
지 41
 
3.5%
호 25
 
2.1%
Other values (164) 610
52.3%
Common
ValueCountFrequency (%)
28
45.2%
1 7
 
11.3%
2 5
 
8.1%
( 4
 
6.5%
) 4
 
6.5%
0 4
 
6.5%
- 3
 
4.8%
3 3
 
4.8%
' 3
 
4.8%
9 1
 
1.6%
Latin
ValueCountFrequency (%)
e 4
66.7%
i 1
 
16.7%
A 1
 
16.7%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1166
94.4%
ASCII 68
 
5.5%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 80
 
6.9%
터 77
 
6.6%
양 66
 
5.7%
요 65
 
5.6%
가 56
 
4.8%
재 55
 
4.7%
원 48
 
4.1%
복 43
 
3.7%
지 41
 
3.5%
호 25
 
2.1%
Other values (164) 610
52.3%
ASCII
ValueCountFrequency (%)
28
41.2%
1 7
 
10.3%
2 5
 
7.4%
( 4
 
5.9%
) 4
 
5.9%
0 4
 
5.9%
e 4
 
5.9%
- 3
 
4.4%
3 3
 
4.4%
' 3
 
4.4%
Other values (3) 3
 
4.4%
CJK
ValueCountFrequency (%)
孝 1
100.0%

서비스종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
시설급여제공기관
52 
재가급여제공기관
44 
방문요양+방문목욕
28 
방문요양
 
4
방문요양+방문목욕+복지용구제공사업소
 
3
Other values (6)
7 

Length

Max length26
Median length8
Mean length8.5507246
Min length4

Unique

Unique5 ?
Unique (%)3.6%

Sample

1st row시설급여제공기관
2nd row시설급여제공기관
3rd row시설급여제공기관
4th row시설급여제공기관
5th row시설급여제공기관

Common Values

ValueCountFrequency (%)
시설급여제공기관 52
37.7%
재가급여제공기관 44
31.9%
방문요양+방문목욕 28
20.3%
방문요양 4
 
2.9%
방문요양+방문목욕+복지용구제공사업소 3
 
2.2%
방문요양+방문목욕+방문간호 2
 
1.4%
주야간보호 1
 
0.7%
방문요양+방문목욕+주야간보호 1
 
0.7%
방문요양+주야간보호+주야간보호 내 치매전담 1실 1
 
0.7%
복지용구제공사업소 1
 
0.7%

Length

2024-03-15T00:09:15.561778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시설급여제공기관 52
36.9%
재가급여제공기관 44
31.2%
방문요양+방문목욕 28
19.9%
방문요양 4
 
2.8%
방문요양+방문목욕+복지용구제공사업소 3
 
2.1%
방문요양+방문목욕+방문간호 2
 
1.4%
주야간보호 1
 
0.7%
방문요양+방문목욕+주야간보호 1
 
0.7%
방문요양+주야간보호+주야간보호 1
 
0.7%
내 1
 
0.7%
Other values (4) 4
 
2.8%

정원
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)42.5%
Missing65
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean31.945205
Minimum9
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T00:09:15.851671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median25
Q341
95-th percentile87.8
Maximum154
Range145
Interquartile range (IQR)32

Descriptive statistics

Standard deviation26.989654
Coefficient of variation (CV)0.84487338
Kurtosis6.1510989
Mean31.945205
Median Absolute Deviation (MAD)16
Skewness2.1687281
Sum2332
Variance728.4414
MonotonicityNot monotonic
2024-03-15T00:09:16.071569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9 22
 
15.9%
29 5
 
3.6%
23 5
 
3.6%
25 4
 
2.9%
35 4
 
2.9%
49 4
 
2.9%
24 2
 
1.4%
38 2
 
1.4%
21 2
 
1.4%
46 2
 
1.4%
Other values (21) 21
 
15.2%
(Missing) 65
47.1%
ValueCountFrequency (%)
9 22
15.9%
16 1
 
0.7%
19 1
 
0.7%
20 1
 
0.7%
21 2
 
1.4%
22 1
 
0.7%
23 5
 
3.6%
24 2
 
1.4%
25 4
 
2.9%
26 1
 
0.7%
ValueCountFrequency (%)
154 1
 
0.7%
115 1
 
0.7%
100 1
 
0.7%
92 1
 
0.7%
85 1
 
0.7%
83 1
 
0.7%
58 1
 
0.7%
51 1
 
0.7%
50 1
 
0.7%
49 4
2.9%

소재지주소
Text

Distinct128
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:09:17.050549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length31.224638
Min length19

Characters and Unicode

Total characters4309
Distinct characters140
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)85.5%

Sample

1st row경기도 군포시 대야2로 159 (대야미동,참이프라자 401, 501호)
2nd row경기도 군포시 용호1로2번길 19 (당동,대림프라자 3층)
3rd row경기도 군포시 이당로 107 (당정동)
4th row경기도 군포시 군포로 221 (부곡동)
5th row경기도 군포시 고산로 256, 402호 (당동, 금강프라자)
ValueCountFrequency (%)
경기도 138
 
15.2%
군포시 138
 
15.2%
산본동 59
 
6.5%
당동 30
 
3.3%
고산로 25
 
2.8%
금정동 25
 
2.8%
군포로 18
 
2.0%
번영로 16
 
1.8%
5층 14
 
1.5%
2층 13
 
1.4%
Other values (253) 432
47.6%
2024-03-15T00:09:18.272617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
770
 
17.9%
, 189
 
4.4%
군 163
 
3.8%
포 163
 
3.8%
동 156
 
3.6%
1 146
 
3.4%
경 139
 
3.2%
도 139
 
3.2%
( 138
 
3.2%
시 138
 
3.2%
Other values (130) 2168
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2261
52.5%
Decimal Number 785
 
18.2%
Space Separator 770
 
17.9%
Other Punctuation 189
 
4.4%
Open Punctuation 138
 
3.2%
Close Punctuation 138
 
3.2%
Dash Punctuation 19
 
0.4%
Uppercase Letter 5
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 163
 
7.2%
포 163
 
7.2%
동 156
 
6.9%
경 139
 
6.1%
도 139
 
6.1%
시 138
 
6.1%
기 138
 
6.1%
로 135
 
6.0%
산 126
 
5.6%
호 81
 
3.6%
Other values (112) 883
39.1%
Decimal Number
ValueCountFrequency (%)
1 146
18.6%
2 117
14.9%
5 101
12.9%
0 92
11.7%
3 74
9.4%
4 63
8.0%
6 54
 
6.9%
9 53
 
6.8%
7 44
 
5.6%
8 41
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%
Space Separator
ValueCountFrequency (%)
770
100.0%
Other Punctuation
ValueCountFrequency (%)
, 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2261
52.5%
Common 2043
47.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 163
 
7.2%
포 163
 
7.2%
동 156
 
6.9%
경 139
 
6.1%
도 139
 
6.1%
시 138
 
6.1%
기 138
 
6.1%
로 135
 
6.0%
산 126
 
5.6%
호 81
 
3.6%
Other values (112) 883
39.1%
Common
ValueCountFrequency (%)
770
37.7%
, 189
 
9.3%
1 146
 
7.1%
( 138
 
6.8%
) 138
 
6.8%
2 117
 
5.7%
5 101
 
4.9%
0 92
 
4.5%
3 74
 
3.6%
4 63
 
3.1%
Other values (6) 215
 
10.5%
Latin
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2261
52.5%
ASCII 2048
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
770
37.6%
, 189
 
9.2%
1 146
 
7.1%
( 138
 
6.7%
) 138
 
6.7%
2 117
 
5.7%
5 101
 
4.9%
0 92
 
4.5%
3 74
 
3.6%
4 63
 
3.1%
Other values (8) 220
 
10.7%
Hangul
ValueCountFrequency (%)
군 163
 
7.2%
포 163
 
7.2%
동 156
 
6.9%
경 139
 
6.1%
도 139
 
6.1%
시 138
 
6.1%
기 138
 
6.1%
로 135
 
6.0%
산 126
 
5.6%
호 81
 
3.6%
Other values (112) 883
39.1%

전화번호
Text

Distinct117
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:09:19.221993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007246
Min length12

Characters and Unicode

Total characters1657
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

Unique102 ?
Unique (%)73.9%

Sample

1st row031-502-9990
2nd row031-398-7004
3rd row031-451-8575
4th row031-687-8701
5th row031-395-6700
ValueCountFrequency (%)
031-348-3434 3
 
2.2%
031-394-8812 3
 
2.2%
031-398-1132 3
 
2.2%
031-399-1041 3
 
2.2%
031-398-4210 3
 
2.2%
031-398-4777 3
 
2.2%
031-388-8957 2
 
1.4%
031-687-8701 2
 
1.4%
031-399-0771 2
 
1.4%
031-427-0332 2
 
1.4%
Other values (107) 112
81.2%
2024-03-15T00:09:20.646730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 312
18.8%
- 276
16.7%
0 221
13.3%
1 218
13.2%
9 147
8.9%
7 108
 
6.5%
8 105
 
6.3%
4 103
 
6.2%
2 66
 
4.0%
5 53
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1381
83.3%
Dash Punctuation 276
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 312
22.6%
0 221
16.0%
1 218
15.8%
9 147
10.6%
7 108
 
7.8%
8 105
 
7.6%
4 103
 
7.5%
2 66
 
4.8%
5 53
 
3.8%
6 48
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1657
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 312
18.8%
- 276
16.7%
0 221
13.3%
1 218
13.2%
9 147
8.9%
7 108
 
6.5%
8 105
 
6.3%
4 103
 
6.2%
2 66
 
4.0%
5 53
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1657
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 312
18.8%
- 276
16.7%
0 221
13.3%
1 218
13.2%
9 147
8.9%
7 108
 
6.5%
8 105
 
6.3%
4 103
 
6.2%
2 66
 
4.0%
5 53
 
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-20
138 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-20
2nd row2024-01-20
3rd row2024-01-20
4th row2024-01-20
5th row2024-01-20

Common Values

ValueCountFrequency (%)
2024-01-20 138
100.0%

Length

2024-03-15T00:09:20.876011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:09:21.046350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-20 138
100.0%

Interactions

2024-03-15T00:09:11.714040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:09:21.145522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류서비스종류정원
분류1.0000.9020.777
서비스종류0.9021.0000.638
정원0.7770.6381.000
2024-03-15T00:09:21.369846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스종류분류
서비스종류1.0000.779
분류0.7791.000
2024-03-15T00:09:21.535706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원분류서비스종류
정원1.0000.4280.451
분류0.4281.0000.779
서비스종류0.4510.7791.000

Missing values

2024-03-15T00:09:12.066001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:09:12.449492image/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

분류명칭서비스종류정원소재지주소전화번호데이터기준일자
0노인요양시설봄빛요양원시설급여제공기관19경기도 군포시 대야2로 159 (대야미동,참이프라자 401, 501호)031-502-99902024-01-20
1노인요양시설사랑행복실버타운시설급여제공기관21경기도 군포시 용호1로2번길 19 (당동,대림프라자 3층)031-398-70042024-01-20
2노인요양시설카네이션요양원시설급여제공기관29경기도 군포시 이당로 107 (당정동)031-451-85752024-01-20
3노인요양시설군포시립노인요양센터시설급여제공기관100경기도 군포시 군포로 221 (부곡동)031-687-87012024-01-20
4노인요양시설너싱홈간호박사네시설급여제공기관43경기도 군포시 고산로 256, 402호 (당동, 금강프라자)031-395-67002024-01-20
5노인요양시설봄날요양원시설급여제공기관35경기도 군포시 대야1로24번길 8, 5~7층 (대야미동, 군포신용협동조합)031-502-88072024-01-20
6노인요양시설가인요양원시설급여제공기관41경기도 군포시 고산로250번길 19, 4~5층 (당동, 폴리프라자)031-392-98052024-01-20
7노인요양시설미소요양원시설급여제공기관29경기도 군포시 고산로 679, 9층 (산본동, 미성프라자)031-391-33772024-01-20
8노인요양시설제일수요양원시설급여제공기관115경기도 군포시 번영로 604 (금정동)031-342-88992024-01-20
9노인요양시설군포에덴요양원시설급여제공기관37경기도 군포시 당정역로4번길 11, 2층 (당정동, 유영타운)031-477-33322024-01-20
분류명칭서비스종류정원소재지주소전화번호데이터기준일자
128재가장기요양기관위드유재가복지센터방문요양+방문목욕<NA>경기도 군포시 당산로 80, 1층 2호 (당동)031-477-99882024-01-20
129재가장기요양기관군포사랑재가복지센터방문요양<NA>경기도 군포시 군포로 487, 501호 (당동)031-393-20212024-01-20
130재가장기요양기관참평안 재가복지센터방문요양+방문목욕<NA>경기도 군포시 쟁골2길 22, B01호 (금정동)031-391-19822024-01-20
131재가장기요양기관장수재가노인복지센터방문요양+방문목욕<NA>경기도 군포시 금정동 729번지 1호 1층 상가031-341-47802024-01-20
132재가장기요양기관효생명의나눔방문요양+방문목욕<NA>경기도 군포시 봉성로 26 (당동)031-477-88962024-01-20
133재가장기요양기관군포호산나 노인복지센터방문요양+방문목욕<NA>경기도 군포시 번영로 508, 502호 (금정동)031-393-25252024-01-20
134재가장기요양기관'나들이' 데이케어센터방문요양+주야간보호+주야간보호 내 치매전담 1실22경기도 군포시 대야2로143번길 26, 201호 (대야미동, 현대프라자)031-505-32912024-01-20
135재가장기요양기관이레 재가복지센터방문요양<NA>경기도 군포시 고산로 695, 9층 (산본동)031-392-36332024-01-20
136재가장기요양기관동부케어 군포 종합복지센터복지용구제공사업소<NA>경기도 군포시 금산로22번길 6, 가동 301호 (금정동, 태을빌딩)031-427-99152024-01-20
137재가장기요양기관(주)다정종합복지센터방문간호<NA>경기도 군포시 군포로 759, 4층 (산본동, 선한빌딩)031-388-89572024-01-20