Overview

Dataset statistics

Number of variables6
Number of observations1063
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.0 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description경상남도 내 재가노인복지시설 현황에 대한 데이터로 시설유형, 시설명, 주소, 연락처, 시설이용인원에 대한 내용을 제공합니다.
URLhttps://www.data.go.kr/data/15053046/fileData.do

Alerts

연번 has unique valuesUnique
시설이용인원 has 309 (29.1%) zerosZeros

Reproduction

Analysis started2023-12-12 22:50:35.578107
Analysis finished2023-12-12 22:50:36.707827
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1063
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean532.3048
Minimum1
Maximum1064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-13T07:50:36.794276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile54.1
Q1266.5
median532
Q3798.5
95-th percentile1010.9
Maximum1064
Range1063
Interquartile range (IQR)532

Descriptive statistics

Standard deviation307.37329
Coefficient of variation (CV)0.5774385
Kurtosis-1.2003422
Mean532.3048
Median Absolute Deviation (MAD)266
Skewness0.0016185543
Sum565840
Variance94478.336
MonotonicityStrictly increasing
2023-12-13T07:50:36.939958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
715 1
 
0.1%
701 1
 
0.1%
702 1
 
0.1%
703 1
 
0.1%
704 1
 
0.1%
705 1
 
0.1%
706 1
 
0.1%
707 1
 
0.1%
708 1
 
0.1%
Other values (1053) 1053
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1064 1
0.1%
1063 1
0.1%
1062 1
0.1%
1061 1
0.1%
1060 1
0.1%
1059 1
0.1%
1058 1
0.1%
1057 1
0.1%
1056 1
0.1%
1055 1
0.1%

시설유형
Categorical

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
방문요양
505 
방문목욕
271 
주야간보호
203 
재가노인지원서비스
 
34
복지용구
 
30
Other values (3)
 
20

Length

Max length9
Median length4
Mean length4.3508937
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row단기보호
2nd row방문간호
3rd row방문간호
4th row방문간호
5th row방문간호

Common Values

ValueCountFrequency (%)
방문요양 505
47.5%
방문목욕 271
25.5%
주야간보호 203
19.1%
재가노인지원서비스 34
 
3.2%
복지용구 30
 
2.8%
방문간호 16
 
1.5%
단기보호 3
 
0.3%
주간보호 1
 
0.1%

Length

2023-12-13T07:50:37.102749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:50:37.221694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 505
47.5%
방문목욕 271
25.5%
주야간보호 203
19.1%
재가노인지원서비스 34
 
3.2%
복지용구 30
 
2.8%
방문간호 16
 
1.5%
단기보호 3
 
0.3%
주간보호 1
 
0.1%

시설명
Text

Distinct636
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T07:50:37.441549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length9.8532455
Min length3

Characters and Unicode

Total characters10474
Distinct characters326
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)28.7%

Sample

1st row창원성심재가노인복지센터
2nd row희연재가커뮤니티케어센터
3rd row행복한재가방문요양센터
4th row팔용어르신주간보호센터
5th row다솔방문간호요양재가센터
ValueCountFrequency (%)
재가복지센터 13
 
1.1%
주간보호센터 8
 
0.7%
참조은재가복지센터 6
 
0.5%
백세행복노인복지센터 6
 
0.5%
미소노인복지센터 5
 
0.4%
가온재가복지센터 4
 
0.3%
재가방문간호센터 4
 
0.3%
물금점 4
 
0.3%
신기의료기 4
 
0.3%
a)비지팅엔젤스 4
 
0.3%
Other values (675) 1124
95.1%
2023-12-13T07:50:37.823537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 999
 
9.5%
터 997
 
9.5%
지 746
 
7.1%
복 699
 
6.7%
가 671
 
6.4%
재 617
 
5.9%
인 498
 
4.8%
노 489
 
4.7%
주 179
 
1.7%
호 172
 
1.6%
Other values (316) 4407
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10220
97.6%
Space Separator 119
 
1.1%
Decimal Number 32
 
0.3%
Close Punctuation 28
 
0.3%
Open Punctuation 28
 
0.3%
Uppercase Letter 26
 
0.2%
Other Punctuation 14
 
0.1%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 999
 
9.8%
터 997
 
9.8%
지 746
 
7.3%
복 699
 
6.8%
가 671
 
6.6%
재 617
 
6.0%
인 498
 
4.9%
노 489
 
4.8%
주 179
 
1.8%
호 172
 
1.7%
Other values (294) 4153
40.6%
Uppercase Letter
ValueCountFrequency (%)
A 9
34.6%
P 5
19.2%
I 3
 
11.5%
V 3
 
11.5%
O 2
 
7.7%
T 2
 
7.7%
G 1
 
3.8%
N 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
0 10
31.2%
1 8
25.0%
3 6
18.8%
5 4
 
12.5%
6 3
 
9.4%
2 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
' 9
64.3%
. 3
 
21.4%
" 2
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
57.1%
c 3
42.9%
Space Separator
ValueCountFrequency (%)
119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10219
97.6%
Common 221
 
2.1%
Latin 33
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 999
 
9.8%
터 997
 
9.8%
지 746
 
7.3%
복 699
 
6.8%
가 671
 
6.6%
재 617
 
6.0%
인 498
 
4.9%
노 489
 
4.8%
주 179
 
1.8%
호 172
 
1.7%
Other values (293) 4152
40.6%
Common
ValueCountFrequency (%)
119
53.8%
) 28
 
12.7%
( 28
 
12.7%
0 10
 
4.5%
' 9
 
4.1%
1 8
 
3.6%
3 6
 
2.7%
5 4
 
1.8%
. 3
 
1.4%
6 3
 
1.4%
Other values (2) 3
 
1.4%
Latin
ValueCountFrequency (%)
A 9
27.3%
P 5
15.2%
e 4
12.1%
I 3
 
9.1%
V 3
 
9.1%
c 3
 
9.1%
O 2
 
6.1%
T 2
 
6.1%
G 1
 
3.0%
N 1
 
3.0%
Han
ValueCountFrequency (%)
眞 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10219
97.6%
ASCII 254
 
2.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 999
 
9.8%
터 997
 
9.8%
지 746
 
7.3%
복 699
 
6.8%
가 671
 
6.6%
재 617
 
6.0%
인 498
 
4.9%
노 489
 
4.8%
주 179
 
1.8%
호 172
 
1.7%
Other values (293) 4152
40.6%
ASCII
ValueCountFrequency (%)
119
46.9%
) 28
 
11.0%
( 28
 
11.0%
0 10
 
3.9%
A 9
 
3.5%
' 9
 
3.5%
1 8
 
3.1%
3 6
 
2.4%
P 5
 
2.0%
e 4
 
1.6%
Other values (12) 28
 
11.0%
CJK
ValueCountFrequency (%)
眞 1
100.0%

주소
Text

Distinct680
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T07:50:38.194890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length22.104421
Min length9

Characters and Unicode

Total characters23497
Distinct characters321
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)33.6%

Sample

1st row창원시 의창구 단내로 499-52
2nd row창원시 성산구 원이대로 393번길 25, 4008호(반지동,케이프타운)
3rd row창원시 의창구 의창대로 875번길 1층
4th row창원시 의창구 팔용로 438 3층 308호 309호
5th row창원시 마산 회원구 내서 호계본동 5 우리플라자 203-3
ValueCountFrequency (%)
경상남도 264
 
5.3%
창원시 257
 
5.1%
김해시 136
 
2.7%
경남 124
 
2.5%
진주시 123
 
2.5%
의창구 82
 
1.6%
양산시 81
 
1.6%
2층 77
 
1.5%
1층 73
 
1.5%
거제시 59
 
1.2%
Other values (1370) 3721
74.5%
2023-12-13T07:50:38.679814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4123
 
17.5%
1 1097
 
4.7%
2 827
 
3.5%
시 820
 
3.5%
로 780
 
3.3%
길 577
 
2.5%
3 561
 
2.4%
남 539
 
2.3%
동 506
 
2.2%
창 495
 
2.1%
Other values (311) 13172
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13329
56.7%
Decimal Number 4780
 
20.3%
Space Separator 4123
 
17.5%
Other Punctuation 349
 
1.5%
Dash Punctuation 300
 
1.3%
Open Punctuation 299
 
1.3%
Close Punctuation 297
 
1.3%
Uppercase Letter 14
 
0.1%
Math Symbol 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 820
 
6.2%
로 780
 
5.9%
길 577
 
4.3%
남 539
 
4.0%
동 506
 
3.8%
창 495
 
3.7%
경 419
 
3.1%
상 389
 
2.9%
산 370
 
2.8%
원 368
 
2.8%
Other values (286) 8066
60.5%
Decimal Number
ValueCountFrequency (%)
1 1097
22.9%
2 827
17.3%
3 561
11.7%
0 451
9.4%
5 410
 
8.6%
4 354
 
7.4%
6 300
 
6.3%
7 275
 
5.8%
8 253
 
5.3%
9 252
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 310
88.8%
. 32
 
9.2%
· 5
 
1.4%
@ 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
50.0%
F 3
21.4%
C 3
21.4%
B 1
 
7.1%
Space Separator
ValueCountFrequency (%)
4123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13329
56.7%
Common 10153
43.2%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 820
 
6.2%
로 780
 
5.9%
길 577
 
4.3%
남 539
 
4.0%
동 506
 
3.8%
창 495
 
3.7%
경 419
 
3.1%
상 389
 
2.9%
산 370
 
2.8%
원 368
 
2.8%
Other values (286) 8066
60.5%
Common
ValueCountFrequency (%)
4123
40.6%
1 1097
 
10.8%
2 827
 
8.1%
3 561
 
5.5%
0 451
 
4.4%
5 410
 
4.0%
4 354
 
3.5%
, 310
 
3.1%
- 300
 
3.0%
6 300
 
3.0%
Other values (10) 1420
 
14.0%
Latin
ValueCountFrequency (%)
A 7
46.7%
F 3
20.0%
C 3
20.0%
b 1
 
6.7%
B 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13329
56.7%
ASCII 10163
43.3%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4123
40.6%
1 1097
 
10.8%
2 827
 
8.1%
3 561
 
5.5%
0 451
 
4.4%
5 410
 
4.0%
4 354
 
3.5%
, 310
 
3.1%
- 300
 
3.0%
6 300
 
3.0%
Other values (14) 1430
 
14.1%
Hangul
ValueCountFrequency (%)
시 820
 
6.2%
로 780
 
5.9%
길 577
 
4.3%
남 539
 
4.0%
동 506
 
3.8%
창 495
 
3.7%
경 419
 
3.1%
상 389
 
2.9%
산 370
 
2.8%
원 368
 
2.8%
Other values (286) 8066
60.5%
None
ValueCountFrequency (%)
· 5
100.0%

연락처
Text

Distinct663
Distinct (%)62.5%
Missing2
Missing (%)0.2%
Memory size8.4 KiB
2023-12-13T07:50:38.925084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.016965
Min length12

Characters and Unicode

Total characters12750
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

Unique331 ?
Unique (%)31.2%

Sample

1st row055-299-9973
2nd row055-270-2188
3rd row055-285-6394
4th row055-255-1212
5th row055-606-2690
ValueCountFrequency (%)
055-963-5172 4
 
0.4%
055-673-8517 4
 
0.4%
055-835-4070 4
 
0.4%
055-963-6659 4
 
0.4%
055-255-1212 4
 
0.4%
055-327-7755 3
 
0.3%
055-606-3365 3
 
0.3%
055-863-5610 3
 
0.3%
055-864-1701 3
 
0.3%
055-758-5741 3
 
0.3%
Other values (653) 1026
96.7%
2023-12-13T07:50:39.310871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2942
23.1%
- 2122
16.6%
0 1751
13.7%
3 1020
 
8.0%
2 871
 
6.8%
8 829
 
6.5%
7 773
 
6.1%
6 695
 
5.5%
1 606
 
4.8%
4 582
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10628
83.4%
Dash Punctuation 2122
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2942
27.7%
0 1751
16.5%
3 1020
 
9.6%
2 871
 
8.2%
8 829
 
7.8%
7 773
 
7.3%
6 695
 
6.5%
1 606
 
5.7%
4 582
 
5.5%
9 559
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 2122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2942
23.1%
- 2122
16.6%
0 1751
13.7%
3 1020
 
8.0%
2 871
 
6.8%
8 829
 
6.5%
7 773
 
6.1%
6 695
 
5.5%
1 606
 
4.8%
4 582
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2942
23.1%
- 2122
16.6%
0 1751
13.7%
3 1020
 
8.0%
2 871
 
6.8%
8 829
 
6.5%
7 773
 
6.1%
6 695
 
5.5%
1 606
 
4.8%
4 582
 
4.6%

시설이용인원
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.911571
Minimum0
Maximum1608
Zeros309
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-13T07:50:39.440586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q329
95-th percentile83
Maximum1608
Range1608
Interquartile range (IQR)29

Descriptive statistics

Standard deviation62.250993
Coefficient of variation (CV)2.7170111
Kurtosis409.47171
Mean22.911571
Median Absolute Deviation (MAD)10
Skewness17.376997
Sum24355
Variance3875.1861
MonotonicityNot monotonic
2023-12-13T07:50:39.559987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 309
29.1%
1 39
 
3.7%
2 29
 
2.7%
3 25
 
2.4%
9 24
 
2.3%
13 23
 
2.2%
6 23
 
2.2%
20 22
 
2.1%
8 21
 
2.0%
4 20
 
1.9%
Other values (100) 528
49.7%
ValueCountFrequency (%)
0 309
29.1%
1 39
 
3.7%
2 29
 
2.7%
3 25
 
2.4%
4 20
 
1.9%
5 19
 
1.8%
6 23
 
2.2%
7 12
 
1.1%
8 21
 
2.0%
9 24
 
2.3%
ValueCountFrequency (%)
1608 1
0.1%
588 1
0.1%
587 1
0.1%
381 1
0.1%
271 1
0.1%
205 1
0.1%
198 1
0.1%
165 1
0.1%
144 1
0.1%
140 1
0.1%

Interactions

2023-12-13T07:50:36.305899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:50:36.079818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:50:36.405684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:50:36.181390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:50:39.646479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설이용인원
연번1.0000.3640.122
시설유형0.3641.0000.321
시설이용인원0.1220.3211.000
2023-12-13T07:50:39.724160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설이용인원시설유형
연번1.0000.1800.183
시설이용인원0.1801.0000.203
시설유형0.1830.2031.000

Missing values

2023-12-13T07:50:36.535539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:50:36.656109image/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

연번시설유형시설명주소연락처시설이용인원
01단기보호창원성심재가노인복지센터창원시 의창구 단내로 499-52055-299-99730
12방문간호희연재가커뮤니티케어센터창원시 성산구 원이대로 393번길 25, 4008호(반지동,케이프타운)055-270-218820
23방문간호행복한재가방문요양센터창원시 의창구 의창대로 875번길 1층055-285-63940
34방문간호팔용어르신주간보호센터창원시 의창구 팔용로 438 3층 308호 309호055-255-12120
45방문간호다솔방문간호요양재가센터창원시 마산 회원구 내서 호계본동 5 우리플라자 203-3055-606-26903
56방문목욕희연재가커뮤니티케어센터창원시 성산구 원이대로 393번길 25, 4008호(반지동,케이프타운)055-270-21880
67방문목욕안정노인재가센터창원시 의창구 대산면 진산대로 288055-252-63890
78방문목욕태양재가노인복지센터창원시 성산구 마디미로4번길 5,701호(상남동,터전빌딩)055-275-19350
89방문목욕창원도우누리 노인종합재가센터창원시 의창구 대봉로26번길 4-5, 3층(봉림동)055-286-978811
910방문목욕선일데이케어센터창원시 의창구 사림로 53,1동 2층 201호055-261-75730
연번시설유형시설명주소연락처시설이용인원
10531055방문요양오래오래 재가복지센터경남 합천읍 중앙로2길 10 성우A 1층 상가 5호055-932-136547
10541056방문요양승화 누리방문요양센터경남 합천군 합천읍 옥산로 25-1, 2층055-933-189419
10551057방문요양해바라기 재가복지센터경남 합천군 합천읍 옥산로44 31,33호0507-1478-20090
10561058방문요양행복나눔재가복지센터경남 합천군 충효로 1길 11-21 1층055-933-846819
10571059복지용구굿모닝의료기경남 합천군 합천읍 동서로 87055-932-777090
10581060재가노인지원서비스합천노인통합지원센터경남 합천군 삼가면 삼가로 10-13(어전리)055-931-101681
10591061주야간보호합천노인복지센터경남 합천군 삼가면 삼가로 10-13055-931-060058
10601062주야간보호미타재가복지센터경남 합천군 적중면 우회로 1198055-931-223326
10611063주야간보호따스한 주야간 보호센터경남 합천군 초계면 대동길18055-934-132621
10621064주야간보호연우실버케어주간보호센터경남 합천군 서산길77055-934-205123