Overview

Dataset statistics

Number of variables6
Number of observations256
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory50.5 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description노인복지법 제35조(노인의료복지시설의 설치)에 근거한 노인요양시설과 노인요양공동생활가정 현황 항목을 제공합니다
Author공공데이터포털
URLhttps://www.data.go.kr/data/15095243/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-20 14:39:44.237511
Analysis finished2024-04-20 14:39:47.155619
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5
Minimum1
Maximum256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-20T23:39:47.289136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.75
Q164.75
median128.5
Q3192.25
95-th percentile243.25
Maximum256
Range255
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation74.045031
Coefficient of variation (CV)0.57622592
Kurtosis-1.2
Mean128.5
Median Absolute Deviation (MAD)64
Skewness0
Sum32896
Variance5482.6667
MonotonicityStrictly increasing
2024-04-20T23:39:47.567753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
130 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%
170 1
 
0.4%
171 1
 
0.4%
Other values (246) 246
96.1%
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 (%)
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%

구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
북구
55 
동구
42 
달성군
38 
달서구
37 
서구
35 
Other values (3)
49 

Length

Max length3
Median length2
Mean length2.3632812
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 55
21.5%
동구 42
16.4%
달성군 38
14.8%
달서구 37
14.5%
서구 35
13.7%
남구 26
10.2%
수성구 18
 
7.0%
중구 5
 
2.0%

Length

2024-04-20T23:39:48.076523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:39:48.447703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 55
21.5%
동구 42
16.4%
달성군 38
14.8%
달서구 37
14.5%
서구 35
13.7%
남구 26
10.2%
수성구 18
 
7.0%
중구 5
 
2.0%

시설명
Text

Distinct253
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-20T23:39:49.484536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.3632812
Min length3

Characters and Unicode

Total characters1885
Distinct characters239
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)97.7%

Sample

1st row성덕실버타운
2nd row마이홈노인전문요양원
3rd row갓바위치매센터
4th rowSOS프란치스카의집
5th row진명해안실버타운
ValueCountFrequency (%)
예람요양원 2
 
0.7%
가족사랑요양원 2
 
0.7%
행복요양원 2
 
0.7%
주식회사 2
 
0.7%
팔공어르신요양원 2
 
0.7%
삼성요양원1 2
 
0.7%
삼성요양원2 2
 
0.7%
신요양원 1
 
0.4%
신한솔요양원1 1
 
0.4%
가람노인복지센터1 1
 
0.4%
Other values (252) 252
93.7%
2024-04-20T23:39:50.995587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 166
 
8.8%
양 166
 
8.8%
원 130
 
6.9%
터 67
 
3.6%
센 66
 
3.5%
인 56
 
3.0%
실 55
 
2.9%
노 54
 
2.9%
버 54
 
2.9%
운 42
 
2.2%
Other values (229) 1029
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1816
96.3%
Decimal Number 43
 
2.3%
Space Separator 13
 
0.7%
Uppercase Letter 4
 
0.2%
Lowercase Letter 3
 
0.2%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 166
 
9.1%
양 166
 
9.1%
원 130
 
7.2%
터 67
 
3.7%
센 66
 
3.6%
인 56
 
3.1%
실 55
 
3.0%
노 54
 
3.0%
버 54
 
3.0%
운 42
 
2.3%
Other values (214) 960
52.9%
Decimal Number
ValueCountFrequency (%)
2 20
46.5%
1 16
37.2%
3 5
 
11.6%
4 2
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
A 1
25.0%
O 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
w 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1817
96.4%
Common 61
 
3.2%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 166
 
9.1%
양 166
 
9.1%
원 130
 
7.2%
터 67
 
3.7%
센 66
 
3.6%
인 56
 
3.1%
실 55
 
3.0%
노 54
 
3.0%
버 54
 
3.0%
운 42
 
2.3%
Other values (215) 961
52.9%
Common
ValueCountFrequency (%)
2 20
32.8%
1 16
26.2%
13
21.3%
3 5
 
8.2%
- 2
 
3.3%
4 2
 
3.3%
) 1
 
1.6%
( 1
 
1.6%
+ 1
 
1.6%
Latin
ValueCountFrequency (%)
e 2
28.6%
S 2
28.6%
w 1
14.3%
A 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1816
96.3%
ASCII 68
 
3.6%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 166
 
9.1%
양 166
 
9.1%
원 130
 
7.2%
터 67
 
3.7%
센 66
 
3.6%
인 56
 
3.1%
실 55
 
3.0%
노 54
 
3.0%
버 54
 
3.0%
운 42
 
2.3%
Other values (214) 960
52.9%
ASCII
ValueCountFrequency (%)
2 20
29.4%
1 16
23.5%
13
19.1%
3 5
 
7.4%
- 2
 
2.9%
e 2
 
2.9%
4 2
 
2.9%
S 2
 
2.9%
w 1
 
1.5%
A 1
 
1.5%
Other values (4) 4
 
5.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

입소정원
Real number (ℝ)

Distinct67
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.328125
Minimum5
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-20T23:39:51.405212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q19
median20
Q347.25
95-th percentile123
Maximum332
Range327
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation43.170453
Coefficient of variation (CV)1.1883479
Kurtosis10.466096
Mean36.328125
Median Absolute Deviation (MAD)11
Skewness2.6931281
Sum9300
Variance1863.688
MonotonicityNot monotonic
2024-04-20T23:39:51.841450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 111
43.4%
29 18
 
7.0%
49 9
 
3.5%
18 6
 
2.3%
25 5
 
2.0%
26 5
 
2.0%
20 5
 
2.0%
45 5
 
2.0%
28 5
 
2.0%
99 4
 
1.6%
Other values (57) 83
32.4%
ValueCountFrequency (%)
5 1
 
0.4%
6 2
 
0.8%
7 1
 
0.4%
8 2
 
0.8%
9 111
43.4%
15 1
 
0.4%
16 1
 
0.4%
17 2
 
0.8%
18 6
 
2.3%
20 5
 
2.0%
ValueCountFrequency (%)
332 1
0.4%
200 1
0.4%
199 1
0.4%
198 1
0.4%
178 1
0.4%
160 1
0.4%
152 1
0.4%
150 1
0.4%
147 1
0.4%
146 1
0.4%

시설 소재지
Text

Distinct237
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-20T23:39:53.099314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length14.953125
Min length8

Characters and Unicode

Total characters3828
Distinct characters184
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

Unique221 ?
Unique (%)86.3%

Sample

1st row동구 서촌로 21길 20-16(덕곡동)
2nd row동구 공항로31길 9 (불로동)
3rd row동구 갓바위로75
4th row동구 방촌로1길 17
5th row동구 신평로 54
ValueCountFrequency (%)
북구 55
 
6.2%
동구 41
 
4.6%
달성군 38
 
4.3%
달서구 37
 
4.2%
서구 35
 
3.9%
남구 26
 
2.9%
수성구 18
 
2.0%
4층 13
 
1.5%
3층 10
 
1.1%
5층 8
 
0.9%
Other values (415) 607
68.4%
2024-04-20T23:39:54.551777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
634
 
16.6%
로 237
 
6.2%
구 234
 
6.1%
1 178
 
4.6%
2 165
 
4.3%
동 116
 
3.0%
길 110
 
2.9%
3 100
 
2.6%
4 95
 
2.5%
5 88
 
2.3%
Other values (174) 1871
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2033
53.1%
Decimal Number 944
24.7%
Space Separator 634
 
16.6%
Dash Punctuation 56
 
1.5%
Other Punctuation 56
 
1.5%
Open Punctuation 50
 
1.3%
Close Punctuation 49
 
1.3%
Math Symbol 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 237
 
11.7%
구 234
 
11.5%
동 116
 
5.7%
길 110
 
5.4%
서 85
 
4.2%
달 84
 
4.1%
성 77
 
3.8%
층 70
 
3.4%
북 63
 
3.1%
대 45
 
2.2%
Other values (153) 912
44.9%
Decimal Number
ValueCountFrequency (%)
1 178
18.9%
2 165
17.5%
3 100
10.6%
4 95
10.1%
5 88
9.3%
6 82
8.7%
0 75
7.9%
7 70
 
7.4%
8 46
 
4.9%
9 45
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 52
92.9%
. 3
 
5.4%
/ 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
F 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2033
53.1%
Common 1792
46.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 237
 
11.7%
구 234
 
11.5%
동 116
 
5.7%
길 110
 
5.4%
서 85
 
4.2%
달 84
 
4.1%
성 77
 
3.8%
층 70
 
3.4%
북 63
 
3.1%
대 45
 
2.2%
Other values (153) 912
44.9%
Common
ValueCountFrequency (%)
634
35.4%
1 178
 
9.9%
2 165
 
9.2%
3 100
 
5.6%
4 95
 
5.3%
5 88
 
4.9%
6 82
 
4.6%
0 75
 
4.2%
7 70
 
3.9%
- 56
 
3.1%
Other values (8) 249
 
13.9%
Latin
ValueCountFrequency (%)
C 1
33.3%
F 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2033
53.1%
ASCII 1795
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
634
35.3%
1 178
 
9.9%
2 165
 
9.2%
3 100
 
5.6%
4 95
 
5.3%
5 88
 
4.9%
6 82
 
4.6%
0 75
 
4.2%
7 70
 
3.9%
- 56
 
3.1%
Other values (11) 252
 
14.0%
Hangul
ValueCountFrequency (%)
로 237
 
11.7%
구 234
 
11.5%
동 116
 
5.7%
길 110
 
5.4%
서 85
 
4.2%
달 84
 
4.1%
성 77
 
3.8%
층 70
 
3.4%
북 63
 
3.1%
대 45
 
2.2%
Other values (153) 912
44.9%

전화번호
Text

Distinct242
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-20T23:39:55.504589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3072
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)90.2%

Sample

1st row053-983-7080
2nd row053-983-0755
3rd row053-986-7700
4th row053-986-2077
5th row053-981-0783
ValueCountFrequency (%)
053-958-5400 3
 
1.2%
053-566-8575 3
 
1.2%
053-655-7100 3
 
1.2%
053-314-0006 2
 
0.8%
053-655-3363 2
 
0.8%
053-794-7800 2
 
0.8%
053-985-9976 2
 
0.8%
053-341-8036 2
 
0.8%
053-070-4206 2
 
0.8%
053-621-9797 2
 
0.8%
Other values (233) 234
91.1%
2024-04-20T23:39:56.939582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 511
16.6%
5 486
15.8%
0 460
15.0%
3 426
13.9%
6 211
6.9%
2 186
 
6.1%
8 185
 
6.0%
1 171
 
5.6%
9 170
 
5.5%
7 163
 
5.3%
Other values (2) 103
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2560
83.3%
Dash Punctuation 511
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 486
19.0%
0 460
18.0%
3 426
16.6%
6 211
8.2%
2 186
 
7.3%
8 185
 
7.2%
1 171
 
6.7%
9 170
 
6.6%
7 163
 
6.4%
4 102
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 511
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3072
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 511
16.6%
5 486
15.8%
0 460
15.0%
3 426
13.9%
6 211
6.9%
2 186
 
6.1%
8 185
 
6.0%
1 171
 
5.6%
9 170
 
5.5%
7 163
 
5.3%
Other values (2) 103
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 511
16.6%
5 486
15.8%
0 460
15.0%
3 426
13.9%
6 211
6.9%
2 186
 
6.1%
8 185
 
6.0%
1 171
 
5.6%
9 170
 
5.5%
7 163
 
5.3%
Other values (2) 103
 
3.4%

Interactions

2024-04-20T23:39:46.369830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:39:45.878871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:39:46.612466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:39:46.119596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-20T23:39:57.232038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분입소정원
연번1.0000.8970.415
구분0.8971.0000.106
입소정원0.4150.1061.000
2024-04-20T23:39:57.468172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원구분
연번1.000-0.2890.716
입소정원-0.2891.0000.055
구분0.7160.0551.000

Missing values

2024-04-20T23:39:46.891520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T23:39:47.081971image/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

연번구분시설명입소정원시설 소재지전화번호
01동구성덕실버타운126동구 서촌로 21길 20-16(덕곡동)053-983-7080
12동구마이홈노인전문요양원101동구 공항로31길 9 (불로동)053-983-0755
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