Overview

Dataset statistics

Number of variables5
Number of observations269
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory42.5 B

Variable types

Numeric2
Text3

Dataset

Description노인복지법 제35조(노인의료복지시설의 설치)에 근거한 노인요양시설과 노인요양공동생활가정 현황 항목을 제공합니다
Author대구광역시
URLhttps://www.data.go.kr/data/15069499/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:37:29.854603
Analysis finished2023-12-23 07:37:34.372459
Duration4.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135
Minimum1
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-23T07:37:34.833246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.4
Q168
median135
Q3202
95-th percentile255.6
Maximum269
Range268
Interquartile range (IQR)134

Descriptive statistics

Standard deviation77.797815
Coefficient of variation (CV)0.57628011
Kurtosis-1.2
Mean135
Median Absolute Deviation (MAD)67
Skewness0
Sum36315
Variance6052.5
MonotonicityStrictly increasing
2023-12-23T07:37:35.780267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
186 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
179 1
 
0.4%
Other values (259) 259
96.3%
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 (%)
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%

시설명
Text

Distinct266
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-23T07:37:36.862177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.4237918
Min length3

Characters and Unicode

Total characters1997
Distinct characters247
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

Unique263 ?
Unique (%)97.8%

Sample

1st row성덕실버타운
2nd row마이홈노인전문요양원
3rd row갓바위치매센터
4th rowSOS프란치스카의집
5th row진명해안실버타운
ValueCountFrequency (%)
주식회사 3
 
1.1%
예람요양원 2
 
0.7%
삼성요양원2 2
 
0.7%
삼성요양원1 2
 
0.7%
요양원 2
 
0.7%
행복요양원 2
 
0.7%
가족사랑요양원 2
 
0.7%
해뜨는요양원3 1
 
0.4%
한성노인복지센터 1
 
0.4%
한아름노인복지센터 1
 
0.4%
Other values (265) 265
93.6%
2023-12-23T07:37:38.919339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 174
 
8.7%
양 174
 
8.7%
원 134
 
6.7%
터 72
 
3.6%
센 71
 
3.6%
실 60
 
3.0%
버 58
 
2.9%
인 57
 
2.9%
노 55
 
2.8%
운 46
 
2.3%
Other values (237) 1096
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1913
95.8%
Decimal Number 46
 
2.3%
Space Separator 14
 
0.7%
Lowercase Letter 8
 
0.4%
Uppercase Letter 7
 
0.4%
Open Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 174
 
9.1%
양 174
 
9.1%
원 134
 
7.0%
터 72
 
3.8%
센 71
 
3.7%
실 60
 
3.1%
버 58
 
3.0%
인 57
 
3.0%
노 55
 
2.9%
운 46
 
2.4%
Other values (221) 1012
52.9%
Decimal Number
ValueCountFrequency (%)
2 22
47.8%
1 16
34.8%
3 6
 
13.0%
4 2
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
57.1%
O 1
 
14.3%
A 1
 
14.3%
M 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
i 5
62.5%
e 2
 
25.0%
w 1
 
12.5%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1913
95.8%
Common 69
 
3.5%
Latin 15
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 174
 
9.1%
양 174
 
9.1%
원 134
 
7.0%
터 72
 
3.8%
센 71
 
3.7%
실 60
 
3.1%
버 58
 
3.0%
인 57
 
3.0%
노 55
 
2.9%
운 46
 
2.4%
Other values (221) 1012
52.9%
Common
ValueCountFrequency (%)
2 22
31.9%
1 16
23.2%
14
20.3%
3 6
 
8.7%
( 3
 
4.3%
4 2
 
2.9%
- 2
 
2.9%
+ 2
 
2.9%
) 2
 
2.9%
Latin
ValueCountFrequency (%)
i 5
33.3%
S 4
26.7%
e 2
 
13.3%
O 1
 
6.7%
A 1
 
6.7%
w 1
 
6.7%
M 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1913
95.8%
ASCII 84
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 174
 
9.1%
양 174
 
9.1%
원 134
 
7.0%
터 72
 
3.8%
센 71
 
3.7%
실 60
 
3.1%
버 58
 
3.0%
인 57
 
3.0%
노 55
 
2.9%
운 46
 
2.4%
Other values (221) 1012
52.9%
ASCII
ValueCountFrequency (%)
2 22
26.2%
1 16
19.0%
14
16.7%
3 6
 
7.1%
i 5
 
6.0%
S 4
 
4.8%
( 3
 
3.6%
4 2
 
2.4%
e 2
 
2.4%
- 2
 
2.4%
Other values (6) 8
 
9.5%

입소정원
Real number (ℝ)

Distinct72
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.64684
Minimum5
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-23T07:37:39.686799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q19
median20
Q349
95-th percentile123.6
Maximum332
Range327
Interquartile range (IQR)40

Descriptive statistics

Standard deviation42.808732
Coefficient of variation (CV)1.1681425
Kurtosis10.388236
Mean36.64684
Median Absolute Deviation (MAD)11
Skewness2.6718697
Sum9858
Variance1832.5875
MonotonicityNot monotonic
2023-12-23T07:37:40.670364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 118
43.9%
29 18
 
6.7%
49 12
 
4.5%
28 5
 
1.9%
20 5
 
1.9%
18 5
 
1.9%
26 5
 
1.9%
38 4
 
1.5%
25 4
 
1.5%
45 4
 
1.5%
Other values (62) 89
33.1%
ValueCountFrequency (%)
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
9 118
43.9%
15 1
 
0.4%
16 1
 
0.4%
17 3
 
1.1%
18 5
 
1.9%
20 5
 
1.9%
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%
158 1
0.4%
152 1
0.4%
150 1
0.4%
147 1
0.4%

소재지
Text

Distinct254
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-23T07:37:42.386056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length34
Mean length20.881041
Min length14

Characters and Unicode

Total characters5617
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)89.6%

Sample

1st row대구광역시 동구 서촌로 21길 20-16(덕곡동)
2nd row대구광역시 동구 공항로31길 9 (불로동)
3rd row대구광역시 동구 갓바위로75
4th row대구광역시 동구 방촌로1길 17
5th row대구광역시 동구 신평로 54
ValueCountFrequency (%)
대구광역시 269
22.7%
북구 60
 
5.1%
달서구 39
 
3.3%
달성군 38
 
3.2%
동구 36
 
3.0%
서구 33
 
2.8%
남구 26
 
2.2%
수성구 17
 
1.4%
4층 14
 
1.2%
5층 13
 
1.1%
Other values (439) 638
53.9%
2023-12-23T07:37:45.511179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
919
 
16.4%
구 512
 
9.1%
대 318
 
5.7%
시 270
 
4.8%
광 269
 
4.8%
역 269
 
4.8%
로 251
 
4.5%
1 194
 
3.5%
2 171
 
3.0%
길 114
 
2.0%
Other values (195) 2330
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3470
61.8%
Decimal Number 998
 
17.8%
Space Separator 919
 
16.4%
Dash Punctuation 59
 
1.1%
Other Punctuation 54
 
1.0%
Open Punctuation 48
 
0.9%
Close Punctuation 47
 
0.8%
Lowercase Letter 16
 
0.3%
Math Symbol 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 512
14.8%
대 318
 
9.2%
시 270
 
7.8%
광 269
 
7.8%
역 269
 
7.8%
로 251
 
7.2%
길 114
 
3.3%
동 110
 
3.2%
달 87
 
2.5%
서 86
 
2.5%
Other values (173) 1184
34.1%
Decimal Number
ValueCountFrequency (%)
1 194
19.4%
2 171
17.1%
3 107
10.7%
4 102
10.2%
5 97
9.7%
6 86
8.6%
0 76
 
7.6%
7 74
 
7.4%
8 46
 
4.6%
9 45
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 51
94.4%
. 2
 
3.7%
/ 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
A 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
919
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3470
61.8%
Common 2128
37.9%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 512
14.8%
대 318
 
9.2%
시 270
 
7.8%
광 269
 
7.8%
역 269
 
7.8%
로 251
 
7.2%
길 114
 
3.3%
동 110
 
3.2%
달 87
 
2.5%
서 86
 
2.5%
Other values (173) 1184
34.1%
Common
ValueCountFrequency (%)
919
43.2%
1 194
 
9.1%
2 171
 
8.0%
3 107
 
5.0%
4 102
 
4.8%
5 97
 
4.6%
6 86
 
4.0%
0 76
 
3.6%
7 74
 
3.5%
- 59
 
2.8%
Other values (8) 243
 
11.4%
Latin
ValueCountFrequency (%)
i 16
84.2%
C 1
 
5.3%
A 1
 
5.3%
F 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3470
61.8%
ASCII 2147
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
919
42.8%
1 194
 
9.0%
2 171
 
8.0%
3 107
 
5.0%
4 102
 
4.8%
5 97
 
4.5%
6 86
 
4.0%
0 76
 
3.5%
7 74
 
3.4%
- 59
 
2.7%
Other values (12) 262
 
12.2%
Hangul
ValueCountFrequency (%)
구 512
14.8%
대 318
 
9.2%
시 270
 
7.8%
광 269
 
7.8%
역 269
 
7.8%
로 251
 
7.2%
길 114
 
3.3%
동 110
 
3.2%
달 87
 
2.5%
서 86
 
2.5%
Other values (173) 1184
34.1%

전화번호
Text

Distinct255
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-23T07:37:47.129832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007435
Min length12

Characters and Unicode

Total characters3230
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

Unique245 ?
Unique (%)91.1%

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 4
 
1.5%
053-655-7100 3
 
1.1%
053-566-8575 3
 
1.1%
053-621-9797 2
 
0.7%
053-053 2
 
0.7%
053-324-2522 2
 
0.7%
053-985-9976 2
 
0.7%
053-314-0006 2
 
0.7%
053-655-3363 2
 
0.7%
053-257-8001 2
 
0.7%
Other values (247) 249
91.2%
2023-12-23T07:37:49.093424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 534
16.5%
5 500
15.5%
0 482
14.9%
3 448
13.9%
6 220
6.8%
1 195
 
6.0%
2 195
 
6.0%
8 194
 
6.0%
9 176
 
5.4%
7 167
 
5.2%
Other values (3) 119
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2689
83.3%
Dash Punctuation 534
 
16.5%
Space Separator 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 500
18.6%
0 482
17.9%
3 448
16.7%
6 220
8.2%
1 195
 
7.3%
2 195
 
7.3%
8 194
 
7.2%
9 176
 
6.5%
7 167
 
6.2%
4 112
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 534
16.5%
5 500
15.5%
0 482
14.9%
3 448
13.9%
6 220
6.8%
1 195
 
6.0%
2 195
 
6.0%
8 194
 
6.0%
9 176
 
5.4%
7 167
 
5.2%
Other values (3) 119
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 534
16.5%
5 500
15.5%
0 482
14.9%
3 448
13.9%
6 220
6.8%
1 195
 
6.0%
2 195
 
6.0%
8 194
 
6.0%
9 176
 
5.4%
7 167
 
5.2%
Other values (3) 119
 
3.7%

Interactions

2023-12-23T07:37:32.035637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:31.060735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:32.544834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:31.546454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:37:49.668620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원
연번1.0000.407
입소정원0.4071.000
2023-12-23T07:37:50.240466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원
연번1.000-0.299
입소정원-0.2991.000

Missing values

2023-12-23T07:37:33.348765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:37:34.248701image/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

연번시설명입소정원소재지전화번호
01성덕실버타운126대구광역시 동구 서촌로 21길 20-16(덕곡동)053-983-7080
12마이홈노인전문요양원101대구광역시 동구 공항로31길 9 (불로동)053-983-0755
23갓바위치매센터158대구광역시 동구 갓바위로75053-986-7700
34SOS프란치스카의집95대구광역시 동구 방촌로1길 17053-986-2077
45진명해안실버타운28대구광역시 동구 신평로 54053-981-0783
56진명고향마을147대구광역시 동구 파계로629053-982-8847
67동화사 자비원80대구광역시 동구 팔공산로 254길 27053-985-2115
78진명실버타운37대구광역시 동구 용천로 77길i50(신무동)053-742-9825
89신안사랑마을95대구광역시 동구 효목로 13-1053-985-9937
910혜민노인요양원18대구광역시 서구 원대로13길 38-14053-357-3469
연번시설명입소정원소재지전화번호
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