Overview

Dataset statistics

Number of variables5
Number of observations294
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description대구광역시 수성구 장기요양기관현황에 대한 데이터입니다. 수성구 장기요양기관에 대한 기관명, 주소, 연락처에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15119859/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:46:55.017043
Analysis finished2023-12-11 22:46:55.814277
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct294
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.5
Minimum1
Maximum294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T07:46:55.887429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.65
Q174.25
median147.5
Q3220.75
95-th percentile279.35
Maximum294
Range293
Interquartile range (IQR)146.5

Descriptive statistics

Standard deviation85.014705
Coefficient of variation (CV)0.57637088
Kurtosis-1.2
Mean147.5
Median Absolute Deviation (MAD)73.5
Skewness0
Sum43365
Variance7227.5
MonotonicityStrictly increasing
2023-12-12T07:46:56.027832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
186 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
Other values (284) 284
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
Distinct192
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T07:46:56.274684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length9.6666667
Min length2

Characters and Unicode

Total characters2842
Distinct characters221
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

Unique101 ?
Unique (%)34.4%

Sample

1st row어르신재가노인복지센터
2nd row드림실버요양복지센터 2관
3rd row대구시지 재가노인돌봄센터(주간보호, 방문요양)
4th row내부모재가노인복지센터
5th row화성재가노인복지센터
ValueCountFrequency (%)
미스바요양센터 4
 
1.2%
엘레오스노인요양센터 4
 
1.2%
어르신재가노인복지센터 3
 
0.9%
고산재가노인요양센터 3
 
0.9%
사계절데이케어센터 3
 
0.9%
대구간호재가노인복지센터 3
 
0.9%
사랑채재가복지센터 3
 
0.9%
둥지노인복지센터 3
 
0.9%
내부모재가노인복지센터 3
 
0.9%
주)진명해피케어 3
 
0.9%
Other values (201) 291
90.1%
2023-12-12T07:46:56.645678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
8.6%
243
 
8.6%
218
 
7.7%
200
 
7.0%
167
 
5.9%
163
 
5.7%
122
 
4.3%
122
 
4.3%
59
 
2.1%
59
 
2.1%
Other values (211) 1244
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2750
96.8%
Space Separator 29
 
1.0%
Decimal Number 18
 
0.6%
Open Punctuation 13
 
0.5%
Close Punctuation 13
 
0.5%
Uppercase Letter 8
 
0.3%
Other Punctuation 8
 
0.3%
Math Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
245
 
8.9%
243
 
8.8%
218
 
7.9%
200
 
7.3%
167
 
6.1%
163
 
5.9%
122
 
4.4%
122
 
4.4%
59
 
2.1%
59
 
2.1%
Other values (195) 1152
41.9%
Decimal Number
ValueCountFrequency (%)
8 4
22.2%
6 3
16.7%
3 3
16.7%
1 3
16.7%
5 3
16.7%
9 1
 
5.6%
2 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
87.5%
J 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
" 6
75.0%
, 2
 
25.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2750
96.8%
Common 84
 
3.0%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
245
 
8.9%
243
 
8.8%
218
 
7.9%
200
 
7.3%
167
 
6.1%
163
 
5.9%
122
 
4.4%
122
 
4.4%
59
 
2.1%
59
 
2.1%
Other values (195) 1152
41.9%
Common
ValueCountFrequency (%)
29
34.5%
( 13
15.5%
) 13
15.5%
" 6
 
7.1%
8 4
 
4.8%
6 3
 
3.6%
3 3
 
3.6%
1 3
 
3.6%
5 3
 
3.6%
+ 2
 
2.4%
Other values (4) 5
 
6.0%
Latin
ValueCountFrequency (%)
A 7
87.5%
J 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2750
96.8%
ASCII 92
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
245
 
8.9%
243
 
8.8%
218
 
7.9%
200
 
7.3%
167
 
6.1%
163
 
5.9%
122
 
4.4%
122
 
4.4%
59
 
2.1%
59
 
2.1%
Other values (195) 1152
41.9%
ASCII
ValueCountFrequency (%)
29
31.5%
( 13
14.1%
) 13
14.1%
A 7
 
7.6%
" 6
 
6.5%
8 4
 
4.3%
6 3
 
3.3%
3 3
 
3.3%
1 3
 
3.3%
5 3
 
3.3%
Other values (6) 8
 
8.7%

주소
Text

Distinct185
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T07:46:56.907392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length31.003401
Min length23

Characters and Unicode

Total characters9115
Distinct characters148
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

Unique94 ?
Unique (%)32.0%

Sample

1st row 대구광역시 수성구 용학로25길 6 4층 (두산동, 불교한방병원)
2nd row 대구광역시 수성구 용학로 248 5층 (지산동, 신흥빌딩)
3rd row 대구광역시 수성구 달구벌대로647길 7 203호 (신매동, 경일건설빌딩)
4th row 대구광역시 수성구 지범로27길 23 1.2층 (지산동)
5th row 대구광역시 수성구 신천동로 67 (상동)
ValueCountFrequency (%)
대구광역시 294
 
17.0%
수성구 294
 
17.0%
만촌동 53
 
3.1%
지산동 50
 
2.9%
1층 43
 
2.5%
범물동 31
 
1.8%
2층 30
 
1.7%
범어동 30
 
1.7%
3층 16
 
0.9%
상동 16
 
0.9%
Other values (344) 871
50.4%
2023-12-12T07:46:57.261690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2022
22.2%
624
 
6.8%
348
 
3.8%
342
 
3.8%
334
 
3.7%
329
 
3.6%
319
 
3.5%
1 301
 
3.3%
( 294
 
3.2%
) 294
 
3.2%
Other values (138) 3908
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4912
53.9%
Space Separator 2022
22.2%
Decimal Number 1443
 
15.8%
Open Punctuation 294
 
3.2%
Close Punctuation 294
 
3.2%
Other Punctuation 76
 
0.8%
Dash Punctuation 66
 
0.7%
Math Symbol 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
624
 
12.7%
348
 
7.1%
342
 
7.0%
334
 
6.8%
329
 
6.7%
319
 
6.5%
294
 
6.0%
294
 
6.0%
292
 
5.9%
161
 
3.3%
Other values (119) 1575
32.1%
Decimal Number
ValueCountFrequency (%)
1 301
20.9%
2 240
16.6%
3 160
11.1%
4 142
9.8%
0 127
8.8%
5 118
 
8.2%
6 117
 
8.1%
7 93
 
6.4%
9 79
 
5.5%
8 66
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 73
96.1%
. 3
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
F 2
50.0%
Space Separator
ValueCountFrequency (%)
2022
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4912
53.9%
Common 4199
46.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
624
 
12.7%
348
 
7.1%
342
 
7.0%
334
 
6.8%
329
 
6.7%
319
 
6.5%
294
 
6.0%
294
 
6.0%
292
 
5.9%
161
 
3.3%
Other values (119) 1575
32.1%
Common
ValueCountFrequency (%)
2022
48.2%
1 301
 
7.2%
( 294
 
7.0%
) 294
 
7.0%
2 240
 
5.7%
3 160
 
3.8%
4 142
 
3.4%
0 127
 
3.0%
5 118
 
2.8%
6 117
 
2.8%
Other values (7) 384
 
9.1%
Latin
ValueCountFrequency (%)
B 2
50.0%
F 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4912
53.9%
ASCII 4203
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2022
48.1%
1 301
 
7.2%
( 294
 
7.0%
) 294
 
7.0%
2 240
 
5.7%
3 160
 
3.8%
4 142
 
3.4%
0 127
 
3.0%
5 118
 
2.8%
6 117
 
2.8%
Other values (9) 388
 
9.2%
Hangul
ValueCountFrequency (%)
624
 
12.7%
348
 
7.1%
342
 
7.0%
334
 
6.8%
329
 
6.7%
319
 
6.5%
294
 
6.0%
294
 
6.0%
292
 
5.9%
161
 
3.3%
Other values (119) 1575
32.1%
Distinct59
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T07:46:57.465425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030612
Min length12

Characters and Unicode

Total characters3537
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

Unique11 ?
Unique (%)3.7%

Sample

1st row053-792-****
2nd row053-782-****
3rd row053-794-****
4th row053-755-****
5th row053-767-****
ValueCountFrequency (%)
053-767 23
 
7.8%
053-744 17
 
5.8%
053-782 16
 
5.4%
053-784 15
 
5.1%
053-766 13
 
4.4%
053-781 13
 
4.4%
053-795 11
 
3.7%
053-792 11
 
3.7%
053-783 11
 
3.7%
053-742 10
 
3.4%
Other values (49) 154
52.4%
2023-12-12T07:46:57.795334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1176
33.2%
- 588
16.6%
5 368
 
10.4%
3 337
 
9.5%
0 304
 
8.6%
7 277
 
7.8%
4 104
 
2.9%
6 103
 
2.9%
2 81
 
2.3%
8 75
 
2.1%
Other values (2) 124
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1773
50.1%
Other Punctuation 1176
33.2%
Dash Punctuation 588
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 368
20.8%
3 337
19.0%
0 304
17.1%
7 277
15.6%
4 104
 
5.9%
6 103
 
5.8%
2 81
 
4.6%
8 75
 
4.2%
9 64
 
3.6%
1 60
 
3.4%
Other Punctuation
ValueCountFrequency (%)
* 1176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 1176
33.2%
- 588
16.6%
5 368
 
10.4%
3 337
 
9.5%
0 304
 
8.6%
7 277
 
7.8%
4 104
 
2.9%
6 103
 
2.9%
2 81
 
2.3%
8 75
 
2.1%
Other values (2) 124
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1176
33.2%
- 588
16.6%
5 368
 
10.4%
3 337
 
9.5%
0 304
 
8.6%
7 277
 
7.8%
4 104
 
2.9%
6 103
 
2.9%
2 81
 
2.3%
8 75
 
2.1%
Other values (2) 124
 
3.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-08-23 00:00:00
Maximum2023-08-23 00:00:00
2023-12-12T07:46:57.892026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:46:57.969006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T07:46:55.283660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:46:58.042398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호
연번1.0000.000
전화번호0.0001.000

Missing values

2023-12-12T07:46:55.386689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:46:55.770526image/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

연번업체명주소전화번호데이터기준일
01어르신재가노인복지센터대구광역시 수성구 용학로25길 6 4층 (두산동, 불교한방병원)053-792-****2023-08-23
12드림실버요양복지센터 2관대구광역시 수성구 용학로 248 5층 (지산동, 신흥빌딩)053-782-****2023-08-23
23대구시지 재가노인돌봄센터(주간보호, 방문요양)대구광역시 수성구 달구벌대로647길 7 203호 (신매동, 경일건설빌딩)053-794-****2023-08-23
34내부모재가노인복지센터대구광역시 수성구 지범로27길 23 1.2층 (지산동)053-755-****2023-08-23
45화성재가노인복지센터대구광역시 수성구 신천동로 67 (상동)053-767-****2023-08-23
56엘레오스노인요양센터대구광역시 수성구 달구벌대로 3083 2층 (시지동)053-743-****2023-08-23
67드림실버재가복지센터대구광역시 수성구 용학로 248 2층 (지산동, 신흥빌딩)053-783-****2023-08-23
78청아주간보호센터대구광역시 수성구 화랑로 94 2층 (만촌동)053-753-****2023-08-23
89효자재가복지센터대구광역시 수성구 수성로 105 4층 (상동, 상동빌딩)053-767-****2023-08-23
910다사랑재활전문주간보호대구광역시 수성구 들안로 159 (중동)053-744-****2023-08-23
연번업체명주소전화번호데이터기준일
284285삼보요양원대구광역시 수성구 청호로92길 35 101호 (범어동, 힐튼빌라)053-746-****2023-08-23
285286대구재활요양원대구광역시 수성구 만촌로 93 (만촌동)053-753-****2023-08-23
286287해오름요양원대구광역시 수성구 파동로51길 96 (파동)053-766-****2023-08-23
287288미스바요양센터대구광역시 수성구 화랑로 22 (만촌동, 구세빌딩 2층)053-219-****2023-08-23
288289도원실버타운대구광역시 수성구 팔현길 126-11 (고모동)053-290-****2023-08-23
289290더행복요양원대구광역시 수성구 천을로 199 1~5층 (매호동)053-754-****2023-08-23
290291들안길 노인요양센터대구광역시 수성구 들안로9길 27 (상동)053-764-****2023-08-23
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