Overview

Dataset statistics

Number of variables7
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory60.2 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description대구광역시 동구_노인요양시설_20230324
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15100077&dataSetDetailId=15100077190f2b2fb7672&provdMethod=FILE

Alerts

운영주체 is highly imbalanced (52.8%)Imbalance
순번 has unique valuesUnique
시설명 has unique valuesUnique
시설장 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:19:01.849064
Analysis finished2024-04-19 05:19:02.398919
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-19T14:19:02.456732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-04-19T14:19:02.599438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

시설명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-19T14:19:02.811424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.8780488
Min length5

Characters and Unicode

Total characters323
Distinct characters101
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

Unique41 ?
Unique (%)100.0%

Sample

1st row성덕실버타운
2nd row마이홈노인전문요양원
3rd row신안사랑마을
4th row갓바위치매센터
5th rowSOS프란치스카의집
ValueCountFrequency (%)
팔공어르신요양원 2
 
4.7%
삼성요양원2 1
 
2.3%
활짝요양원(수정 1
 
2.3%
혁신도시우리요양원(추가 1
 
2.3%
선우요양복지센터(2 1
 
2.3%
한마음요양원1 1
 
2.3%
한마음요양원2 1
 
2.3%
동촌센터 1
 
2.3%
비치요양센터 1
 
2.3%
삼성요양원1 1
 
2.3%
Other values (32) 32
74.4%
2024-04-19T14:19:03.277729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 23
 
7.1%
양 23
 
7.1%
원 20
 
6.2%
실 13
 
4.0%
버 13
 
4.0%
터 9
 
2.8%
센 9
 
2.8%
타 8
 
2.5%
운 8
 
2.5%
사 7
 
2.2%
Other values (91) 190
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
92.0%
Decimal Number 10
 
3.1%
Open Punctuation 5
 
1.5%
Close Punctuation 5
 
1.5%
Space Separator 3
 
0.9%
Uppercase Letter 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 23
 
7.7%
양 23
 
7.7%
원 20
 
6.7%
실 13
 
4.4%
버 13
 
4.4%
터 9
 
3.0%
센 9
 
3.0%
타 8
 
2.7%
운 8
 
2.7%
사 7
 
2.4%
Other values (84) 164
55.2%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
1 4
40.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
92.0%
Common 23
 
7.1%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 23
 
7.7%
양 23
 
7.7%
원 20
 
6.7%
실 13
 
4.4%
버 13
 
4.4%
터 9
 
3.0%
센 9
 
3.0%
타 8
 
2.7%
운 8
 
2.7%
사 7
 
2.4%
Other values (84) 164
55.2%
Common
ValueCountFrequency (%)
2 6
26.1%
( 5
21.7%
) 5
21.7%
1 4
17.4%
3
13.0%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
92.0%
ASCII 26
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 23
 
7.7%
양 23
 
7.7%
원 20
 
6.7%
실 13
 
4.4%
버 13
 
4.4%
터 9
 
3.0%
센 9
 
3.0%
타 8
 
2.7%
운 8
 
2.7%
사 7
 
2.4%
Other values (84) 164
55.2%
ASCII
ValueCountFrequency (%)
2 6
23.1%
( 5
19.2%
) 5
19.2%
1 4
15.4%
3
11.5%
S 2
 
7.7%
O 1
 
3.8%

소재지
Text

Distinct38
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-19T14:19:03.476887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length12.439024
Min length8

Characters and Unicode

Total characters510
Distinct characters63
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)85.4%

Sample

1st row동구 서촌로 21길 20-16(덕곡동)
2nd row동구 공항로31길 9 (불로동)
3rd row동구 용천로77길 50
4th row동구 갓바위로75
5th row동구 방촌로1길 17
ValueCountFrequency (%)
동구 39
33.1%
화랑로 3
 
2.5%
안심로22길 3
 
2.5%
동촌로 3
 
2.5%
동구안심로22길60-3 2
 
1.7%
안심로22길40 2
 
1.7%
105 2
 
1.7%
3 1
 
0.8%
신서동 1
 
0.8%
251 1
 
0.8%
Other values (61) 61
51.7%
2024-04-19T14:19:03.820796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
15.1%
동 51
 
10.0%
구 41
 
8.0%
로 40
 
7.8%
2 31
 
6.1%
1 28
 
5.5%
길 25
 
4.9%
4 19
 
3.7%
0 18
 
3.5%
3 15
 
2.9%
Other values (53) 165
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
50.4%
Decimal Number 155
30.4%
Space Separator 77
 
15.1%
Dash Punctuation 8
 
1.6%
Close Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
19.8%
구 41
16.0%
로 40
15.6%
길 25
9.7%
안 9
 
3.5%
심 8
 
3.1%
촌 6
 
2.3%
공 6
 
2.3%
신 5
 
1.9%
화 5
 
1.9%
Other values (38) 61
23.7%
Decimal Number
ValueCountFrequency (%)
2 31
20.0%
1 28
18.1%
4 19
12.3%
0 18
11.6%
3 15
9.7%
5 14
9.0%
7 11
 
7.1%
6 10
 
6.5%
8 5
 
3.2%
9 4
 
2.6%
Space Separator
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
50.4%
Common 253
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
19.8%
구 41
16.0%
로 40
15.6%
길 25
9.7%
안 9
 
3.5%
심 8
 
3.1%
촌 6
 
2.3%
공 6
 
2.3%
신 5
 
1.9%
화 5
 
1.9%
Other values (38) 61
23.7%
Common
ValueCountFrequency (%)
77
30.4%
2 31
12.3%
1 28
 
11.1%
4 19
 
7.5%
0 18
 
7.1%
3 15
 
5.9%
5 14
 
5.5%
7 11
 
4.3%
6 10
 
4.0%
- 8
 
3.2%
Other values (5) 22
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
50.4%
ASCII 253
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
30.4%
2 31
12.3%
1 28
 
11.1%
4 19
 
7.5%
0 18
 
7.1%
3 15
 
5.9%
5 14
 
5.5%
7 11
 
4.3%
6 10
 
4.0%
- 8
 
3.2%
Other values (5) 22
 
8.7%
Hangul
ValueCountFrequency (%)
동 51
19.8%
구 41
16.0%
로 40
15.6%
길 25
9.7%
안 9
 
3.5%
심 8
 
3.1%
촌 6
 
2.3%
공 6
 
2.3%
신 5
 
1.9%
화 5
 
1.9%
Other values (38) 61
23.7%

시설장
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-19T14:19:04.041193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0243902
Min length3

Characters and Unicode

Total characters124
Distinct characters69
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row정경숙
2nd row엄재성
3rd row김은경
4th row이정아
5th row김도현
ValueCountFrequency (%)
정경숙 1
 
2.4%
심희옥 1
 
2.4%
박청진 1
 
2.4%
고재순 1
 
2.4%
윤광묵 1
 
2.4%
김애경 1
 
2.4%
송명용 1
 
2.4%
장병애 1
 
2.4%
석종태 1
 
2.4%
김문정 1
 
2.4%
Other values (31) 31
75.6%
2024-04-19T14:19:04.367425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
8.9%
경 8
 
6.5%
정 7
 
5.6%
박 5
 
4.0%
재 3
 
2.4%
민 3
 
2.4%
은 3
 
2.4%
이 3
 
2.4%
진 3
 
2.4%
현 3
 
2.4%
Other values (59) 75
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
8.9%
경 8
 
6.5%
정 7
 
5.7%
박 5
 
4.1%
재 3
 
2.4%
민 3
 
2.4%
은 3
 
2.4%
이 3
 
2.4%
진 3
 
2.4%
현 3
 
2.4%
Other values (58) 74
60.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
8.9%
경 8
 
6.5%
정 7
 
5.7%
박 5
 
4.1%
재 3
 
2.4%
민 3
 
2.4%
은 3
 
2.4%
이 3
 
2.4%
진 3
 
2.4%
현 3
 
2.4%
Other values (58) 74
60.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
8.9%
경 8
 
6.5%
정 7
 
5.7%
박 5
 
4.1%
재 3
 
2.4%
민 3
 
2.4%
은 3
 
2.4%
이 3
 
2.4%
진 3
 
2.4%
현 3
 
2.4%
Other values (58) 74
60.2%
ASCII
ValueCountFrequency (%)
1
100.0%

전화번호
Text

Distinct38
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-19T14:19:04.560262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique36 ?
Unique (%)87.8%

Sample

1st row053-983-7080
2nd row053-983-0755
3rd row053-985-9937
4th row053-986-7700
5th row053-986-2077
ValueCountFrequency (%)
053-794-7800 3
 
7.3%
053-985-9978 2
 
4.9%
053-985-0515 1
 
2.4%
053-982-9300 1
 
2.4%
053-983-7080 1
 
2.4%
053-241-2119 1
 
2.4%
053-952-2356 1
 
2.4%
053-941-9138 1
 
2.4%
053-427-8318 1
 
2.4%
053-961-9800 1
 
2.4%
Other values (28) 28
68.3%
2024-04-19T14:19:04.871762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88
17.9%
- 82
16.7%
5 74
15.0%
3 58
11.8%
9 50
10.2%
8 37
7.5%
7 25
 
5.1%
2 25
 
5.1%
1 24
 
4.9%
6 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
21.5%
5 74
18.0%
3 58
14.1%
9 50
12.2%
8 37
9.0%
7 25
 
6.1%
2 25
 
6.1%
1 24
 
5.9%
6 16
 
3.9%
4 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88
17.9%
- 82
16.7%
5 74
15.0%
3 58
11.8%
9 50
10.2%
8 37
7.5%
7 25
 
5.1%
2 25
 
5.1%
1 24
 
4.9%
6 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88
17.9%
- 82
16.7%
5 74
15.0%
3 58
11.8%
9 50
10.2%
8 37
7.5%
7 25
 
5.1%
2 25
 
5.1%
1 24
 
4.9%
6 16
 
3.3%

운영주체
Categorical

IMBALANCE 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
개인
31 
진명복지재단
 
3
성덕복지재단
 
1
육주복지회
 
1
신안복지재단
 
1
Other values (4)
4 

Length

Max length10
Median length3
Mean length3.7560976
Min length3

Unique

Unique7 ?
Unique (%)17.1%

Sample

1st row성덕복지재단
2nd row육주복지회
3rd row신안복지재단
4th row감천복지재단
5th row한국SOS어린이마을

Common Values

ValueCountFrequency (%)
개인 31
75.6%
진명복지재단 3
 
7.3%
성덕복지재단 1
 
2.4%
육주복지회 1
 
2.4%
신안복지재단 1
 
2.4%
감천복지재단 1
 
2.4%
한국SOS어린이마을 1
 
2.4%
동화사자비원 1
 
2.4%
연꽃마을 1
 
2.4%

Length

2024-04-19T14:19:05.006543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:19:05.128870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 31
75.6%
진명복지재단 3
 
7.3%
성덕복지재단 1
 
2.4%
육주복지회 1
 
2.4%
신안복지재단 1
 
2.4%
감천복지재단 1
 
2.4%
한국sos어린이마을 1
 
2.4%
동화사자비원 1
 
2.4%
연꽃마을 1
 
2.4%

개원일자
Date

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1991-07-01 00:00:00
Maximum2022-06-09 00:00:00
2024-04-19T14:19:05.261747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:19:05.374877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

Interactions

2024-04-19T14:19:02.165773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:19:05.449428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설명소재지시설장전화번호운영주체개원일자
순번1.0001.0000.9811.0001.0000.4870.978
시설명1.0001.0001.0001.0001.0001.0001.000
소재지0.9811.0001.0001.0000.9991.0001.000
시설장1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0000.9991.0001.0001.0000.994
운영주체0.4871.0001.0001.0001.0001.0001.000
개원일자0.9781.0001.0001.0000.9941.0001.000
2024-04-19T14:19:05.545110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번운영주체
순번1.0000.258
운영주체0.2581.000

Missing values

2024-04-19T14:19:02.267974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:19:02.361242image/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

순번시설명소재지시설장전화번호운영주체개원일자
01성덕실버타운동구 서촌로 21길 20-16(덕곡동)정경숙053-983-7080성덕복지재단1991-07-01
12마이홈노인전문요양원동구 공항로31길 9 (불로동)엄재성053-983-0755육주복지회2004-02-16
23신안사랑마을동구 용천로77길 50김은경053-985-9937신안복지재단2014-09-15
34갓바위치매센터동구 갓바위로75이정아053-986-7700감천복지재단2004-11-08
45SOS프란치스카의집동구 방촌로1길 17김도현053-986-2077한국SOS어린이마을2006-11-30
56진명해안실버타운동구 신평로54김병극053-981-0783진명복지재단2007-06-11
67진명고향마을동구 파계로629김현석053-982-8847진명복지재단2008-07-30
78동화사자비원동구 팔공산로254길 27박종명053-985-2115동화사자비원2008-12-30
89진명실버타운동구 효목로 13-1김경원053-742-9825진명복지재단2011-07-01
910연꽃마을덕산요양원동구 팔공산로2길30장순희053-983-3677연꽃마을2017-12-01
순번시설명소재지시설장전화번호운영주체개원일자
3132삼성요양원2동구 화랑로147, 4층임영혜053-242-5119개인2021-01-01
3233뉴도울노인요양센터1동구 화랑로 105김선하053-286-0001개인2015-03-10
3334뉴도울노인요양센터2동구 화랑로 105정형진053-653-1222개인2015-03-10
3435효사랑요양원1동구안심로22길60-3정은정053-985-9978개인2016-09-01
3536효사랑요양원2동구안심로22길60-3박임덕053-985-9978개인2016-09-01
3637효성실버홈동구 아양로14,3층(신암동)엄현경053-955-9322개인2017-05-08
3738효성실버홈2동구 아양로14이재돈053-955-3100개인2017-05-08
3839율하요양원동구 안심로22길 56,느티타워 303호김중경053-965-0702개인2018-05-01
3940늘푸른노인복지센터(추가)동구 동촌로 31이해공053-982-9300개인2019-03-06
4041도평성지복지센터(추가)동구 도평로 107길 48-7강준수053-962-5503개인2021-06-25