Overview

Dataset statistics

Number of variables5
Number of observations252
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory42.5 B

Variable types

Numeric2
Text3

Dataset

Description경상남도 내 노인의료복지시설(노인요양시설, 노인요양공동생활가정) 현황에 대한 데이터로 시설명, 주소, 연락처, 시설 인원에 대한 내용을 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15053044

Alerts

연번 has unique valuesUnique
시설인원 has 6 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-10 23:31:08.123078
Analysis finished2023-12-10 23:31:08.883511
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5
Minimum1
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T08:31:08.956966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.55
Q163.75
median126.5
Q3189.25
95-th percentile239.45
Maximum252
Range251
Interquartile range (IQR)125.5

Descriptive statistics

Standard deviation72.890329
Coefficient of variation (CV)0.57620813
Kurtosis-1.2
Mean126.5
Median Absolute Deviation (MAD)63
Skewness0
Sum31878
Variance5313
MonotonicityStrictly increasing
2023-12-11T08:31:09.086486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
175 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
Other values (242) 242
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%

시설명
Text

Distinct247
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T08:31:09.319650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.4642857
Min length3

Characters and Unicode

Total characters1881
Distinct characters246
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)96.0%

Sample

1st row동진노인복지센터
2nd row주남요양센터
3rd row수산자비선원 부설 자비마을
4th row창원성심요양원
5th row창원성심노인전문요양원
ValueCountFrequency (%)
노인요양원 8
 
2.7%
집 6
 
2.1%
요양원 4
 
1.4%
호산나 2
 
0.7%
실버홈 2
 
0.7%
백세행복요양원 2
 
0.7%
새길동산 2
 
0.7%
새날노인돌봄의집 2
 
0.7%
참행복한요양원 2
 
0.7%
진해요양원 2
 
0.7%
Other values (258) 260
89.0%
2023-12-11T08:31:09.731440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 180
 
9.6%
양 179
 
9.5%
요 175
 
9.3%
인 93
 
4.9%
노 92
 
4.9%
40
 
2.1%
실 29
 
1.5%
터 29
 
1.5%
버 28
 
1.5%
센 28
 
1.5%
Other values (236) 1008
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1832
97.4%
Space Separator 40
 
2.1%
Decimal Number 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 180
 
9.8%
양 179
 
9.8%
요 175
 
9.6%
인 93
 
5.1%
노 92
 
5.0%
실 29
 
1.6%
터 29
 
1.6%
버 28
 
1.5%
센 28
 
1.5%
집 27
 
1.5%
Other values (229) 972
53.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
3 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1832
97.4%
Common 47
 
2.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 180
 
9.8%
양 179
 
9.8%
요 175
 
9.6%
인 93
 
5.1%
노 92
 
5.0%
실 29
 
1.6%
터 29
 
1.6%
버 28
 
1.5%
센 28
 
1.5%
집 27
 
1.5%
Other values (229) 972
53.1%
Common
ValueCountFrequency (%)
40
85.1%
( 2
 
4.3%
) 2
 
4.3%
2 2
 
4.3%
3 1
 
2.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1832
97.4%
ASCII 49
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 180
 
9.8%
양 179
 
9.8%
요 175
 
9.6%
인 93
 
5.1%
노 92
 
5.0%
실 29
 
1.6%
터 29
 
1.6%
버 28
 
1.5%
센 28
 
1.5%
집 27
 
1.5%
Other values (229) 972
53.1%
ASCII
ValueCountFrequency (%)
40
81.6%
( 2
 
4.1%
) 2
 
4.1%
2 2
 
4.1%
B 1
 
2.0%
3 1
 
2.0%
M 1
 
2.0%

주소
Text

Distinct245
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T08:31:10.000884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length19.730159
Min length9

Characters and Unicode

Total characters4972
Distinct characters224
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)94.8%

Sample

1st row창원시 의창구 동읍 동읍로 517-14 (석산리)
2nd row창원시 의창구 동읍 동읍로 1016(동읍)
3rd row창원시 의창구 하남천동길44번길 14 (도계동)
4th row창원시 의창구 북면 단내로 501(북면)
5th row창원시 의창구 북면 단내로 499-42(북면)
ValueCountFrequency (%)
경상남도 60
 
5.4%
창원시 53
 
4.7%
진주시 26
 
2.3%
양산시 25
 
2.2%
경남 19
 
1.7%
김해시 19
 
1.7%
사천시 18
 
1.6%
의창구 17
 
1.5%
밀양시 17
 
1.5%
진해구 15
 
1.3%
Other values (596) 849
75.9%
2023-12-11T08:31:10.398821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
881
 
17.7%
1 198
 
4.0%
시 174
 
3.5%
로 170
 
3.4%
면 137
 
2.8%
남 128
 
2.6%
2 126
 
2.5%
길 126
 
2.5%
7 102
 
2.1%
3 101
 
2.0%
Other values (214) 2829
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2882
58.0%
Decimal Number 991
 
19.9%
Space Separator 881
 
17.7%
Dash Punctuation 90
 
1.8%
Close Punctuation 55
 
1.1%
Open Punctuation 55
 
1.1%
Other Punctuation 17
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 174
 
6.0%
로 170
 
5.9%
면 137
 
4.8%
남 128
 
4.4%
길 126
 
4.4%
창 95
 
3.3%
산 93
 
3.2%
경 91
 
3.2%
동 84
 
2.9%
원 80
 
2.8%
Other values (197) 1704
59.1%
Decimal Number
ValueCountFrequency (%)
1 198
20.0%
2 126
12.7%
7 102
10.3%
3 101
10.2%
5 100
10.1%
4 99
10.0%
6 76
 
7.7%
0 70
 
7.1%
8 66
 
6.7%
9 53
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 13
76.5%
. 4
 
23.5%
Space Separator
ValueCountFrequency (%)
881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2882
58.0%
Common 2089
42.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 174
 
6.0%
로 170
 
5.9%
면 137
 
4.8%
남 128
 
4.4%
길 126
 
4.4%
창 95
 
3.3%
산 93
 
3.2%
경 91
 
3.2%
동 84
 
2.9%
원 80
 
2.8%
Other values (197) 1704
59.1%
Common
ValueCountFrequency (%)
881
42.2%
1 198
 
9.5%
2 126
 
6.0%
7 102
 
4.9%
3 101
 
4.8%
5 100
 
4.8%
4 99
 
4.7%
- 90
 
4.3%
6 76
 
3.6%
0 70
 
3.4%
Other values (6) 246
 
11.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2882
58.0%
ASCII 2090
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
881
42.2%
1 198
 
9.5%
2 126
 
6.0%
7 102
 
4.9%
3 101
 
4.8%
5 100
 
4.8%
4 99
 
4.7%
- 90
 
4.3%
6 76
 
3.6%
0 70
 
3.3%
Other values (7) 247
 
11.8%
Hangul
ValueCountFrequency (%)
시 174
 
6.0%
로 170
 
5.9%
면 137
 
4.8%
남 128
 
4.4%
길 126
 
4.4%
창 95
 
3.3%
산 93
 
3.2%
경 91
 
3.2%
동 84
 
2.9%
원 80
 
2.8%
Other values (197) 1704
59.1%

연락처
Text

Distinct244
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T08:31:10.654613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003968
Min length12

Characters and Unicode

Total characters3025
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)94.0%

Sample

1st row055-299-2233
2nd row055-298-9974
3rd row055-237-4564
4th row055-299-6723
5th row055-299-6911
ValueCountFrequency (%)
055-365-1910 3
 
1.2%
055-547-7400 2
 
0.8%
055-742-8898 2
 
0.8%
055-338-5082 2
 
0.8%
055-542-9321 2
 
0.8%
055-547-4686 2
 
0.8%
055-552-2651 2
 
0.8%
055-366-6500 1
 
0.4%
055-383-3836 1
 
0.4%
055-362-8855 1
 
0.4%
Other values (234) 234
92.9%
2023-12-11T08:31:11.016257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 741
24.5%
- 500
16.5%
0 411
13.6%
3 223
 
7.4%
2 186
 
6.1%
8 183
 
6.0%
7 167
 
5.5%
1 165
 
5.5%
6 156
 
5.2%
4 149
 
4.9%
Other values (3) 144
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2522
83.4%
Dash Punctuation 500
 
16.5%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 741
29.4%
0 411
16.3%
3 223
 
8.8%
2 186
 
7.4%
8 183
 
7.3%
7 167
 
6.6%
1 165
 
6.5%
6 156
 
6.2%
4 149
 
5.9%
9 141
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3025
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 741
24.5%
- 500
16.5%
0 411
13.6%
3 223
 
7.4%
2 186
 
6.1%
8 183
 
6.0%
7 167
 
5.5%
1 165
 
5.5%
6 156
 
5.2%
4 149
 
4.9%
Other values (3) 144
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 741
24.5%
- 500
16.5%
0 411
13.6%
3 223
 
7.4%
2 186
 
6.1%
8 183
 
6.0%
7 167
 
5.5%
1 165
 
5.5%
6 156
 
5.2%
4 149
 
4.9%
Other values (3) 144
 
4.8%

시설인원
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.900794
Minimum0
Maximum188
Zeros6
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T08:31:11.176209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.1
Q114.75
median28
Q359
95-th percentile93
Maximum188
Range188
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation30.220077
Coefficient of variation (CV)0.77684989
Kurtosis1.5835615
Mean38.900794
Median Absolute Deviation (MAD)19
Skewness1.0972437
Sum9803
Variance913.25307
MonotonicityNot monotonic
2023-12-11T08:31:11.319921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 26
 
10.3%
26 11
 
4.4%
28 9
 
3.6%
8 9
 
3.6%
27 7
 
2.8%
24 6
 
2.4%
21 6
 
2.4%
0 6
 
2.4%
23 5
 
2.0%
18 5
 
2.0%
Other values (76) 162
64.3%
ValueCountFrequency (%)
0 6
 
2.4%
4 5
 
2.0%
5 2
 
0.8%
7 4
 
1.6%
8 9
 
3.6%
9 26
10.3%
10 3
 
1.2%
11 1
 
0.4%
12 3
 
1.2%
13 1
 
0.4%
ValueCountFrequency (%)
188 1
0.4%
121 2
0.8%
120 1
0.4%
116 1
0.4%
105 1
0.4%
102 1
0.4%
100 1
0.4%
98 2
0.8%
96 1
0.4%
95 1
0.4%

Interactions

2023-12-11T08:31:08.573102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:08.411533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:08.650296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:31:08.485654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:31:11.410726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설인원
연번1.0000.193
시설인원0.1931.000
2023-12-11T08:31:11.489227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설인원
연번1.0000.032
시설인원0.0321.000

Missing values

2023-12-11T08:31:08.764215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:31:08.850681image/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

연번시설명주소연락처시설인원
01동진노인복지센터창원시 의창구 동읍 동읍로 517-14 (석산리)055-299-223355
12주남요양센터창원시 의창구 동읍 동읍로 1016(동읍)055-298-997427
23수산자비선원 부설 자비마을창원시 의창구 하남천동길44번길 14 (도계동)055-237-45644
34창원성심요양원창원시 의창구 북면 단내로 501(북면)055-299-672380
45창원성심노인전문요양원창원시 의창구 북면 단내로 499-42(북면)055-299-691158
56아름다운요양원창원시 의창구 대산면 대산북로 602(대산면)055-293-345220
67창원소규모요양시설(가형)창원시 성산구 외동반림로126번길 56 (중앙동)055-281-873311
78다솜창원노인복지센터창원시 의창구 동읍 자여로 89055-251-055326
89온새미로요양원창원시 의창구 명서로 120번길 11055-238-11518
910은빛노인센터창원시 진해구 용원로 89번안길 10-8055-552-55029
연번시설명주소연락처시설인원
242243아림노인요양원거창군 거창읍 운정3길 179055-944-860054
243244엘림의 집거창군 마리면 빼재로419055-941-055724
244245인애노인요양원거창군 절부길 42-73055-945-213026
245246복민노인요양원거창군 가조면 방촌길 76-17055-942-013570
246247합천군립노인전문요양원경남 합천군 초계면 우회로 72-14055-934-057543
247248합천노인전문요양원경남 합천군 삼가면 삼가로 10-13055-931-1012105
248249광명노인요양원경남 합천군 가야면 치인5길 118055-934-080554
249250노블하임노인전문요양원경남 합천군 용주면 연촌우곡길 70055-931-860066
250251미타노인요양원경남 합천군 적중면 우회로 1198055-932-555544
251252에벤에셀노인요양원경남 합천군 야로면 가야산로 728055-933-291778