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 memory60.1 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description대구광역시 동구 관내 노인요양시설에 관한 데이터로 주소, 전화번호, 시설장, 운영주체, 개월일자의 데이터를 제공하고 있습니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15100077/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-14 18:58:30.011034
Analysis finished2024-03-14 18:58:32.175722
Duration2.16 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 size497.0 B
2024-03-15T03:58:32.388674image/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
2024-03-15T03:58:32.943873image/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 size456.0 B
2024-03-15T03:58:34.039650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.3658537
Min length4

Characters and Unicode

Total characters302
Distinct characters92
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 rowSOS프란치스카의집
2nd row고운실버케어
3rd row동화사 자비원
4th row마이홈노인전문요양원
5th row붓다의집
ValueCountFrequency (%)
팔공어르신요양원 2
 
4.5%
삼성요양원1 1
 
2.3%
혁신도시우리요양원 1
 
2.3%
활짝요양원 1
 
2.3%
효사랑실버타운 1
 
2.3%
뉴도울노인요양센터1 1
 
2.3%
뉴도울노인요양센터2 1
 
2.3%
늘푸른노인복지센터 1
 
2.3%
도평성지복지센터 1
 
2.3%
비치요양센터 1
 
2.3%
Other values (33) 33
75.0%
2024-03-15T03:58:35.317702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 22
 
7.3%
양 22
 
7.3%
원 19
 
6.3%
실 14
 
4.6%
버 14
 
4.6%
운 9
 
3.0%
타 8
 
2.6%
센 8
 
2.6%
터 8
 
2.6%
성 7
 
2.3%
Other values (82) 171
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
93.7%
Decimal Number 10
 
3.3%
Space Separator 4
 
1.3%
Uppercase Letter 3
 
1.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 22
 
7.8%
양 22
 
7.8%
원 19
 
6.7%
실 14
 
4.9%
버 14
 
4.9%
운 9
 
3.2%
타 8
 
2.8%
센 8
 
2.8%
터 8
 
2.8%
성 7
 
2.5%
Other values (75) 152
53.7%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
1 4
40.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
93.7%
Common 16
 
5.3%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 22
 
7.8%
양 22
 
7.8%
원 19
 
6.7%
실 14
 
4.9%
버 14
 
4.9%
운 9
 
3.2%
타 8
 
2.8%
센 8
 
2.8%
터 8
 
2.8%
성 7
 
2.5%
Other values (75) 152
53.7%
Common
ValueCountFrequency (%)
2 6
37.5%
4
25.0%
1 4
25.0%
( 1
 
6.2%
) 1
 
6.2%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
93.7%
ASCII 19
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 22
 
7.8%
양 22
 
7.8%
원 19
 
6.7%
실 14
 
4.9%
버 14
 
4.9%
운 9
 
3.2%
타 8
 
2.8%
센 8
 
2.8%
터 8
 
2.8%
성 7
 
2.5%
Other values (75) 152
53.7%
ASCII
ValueCountFrequency (%)
2 6
31.6%
4
21.1%
1 4
21.1%
S 2
 
10.5%
O 1
 
5.3%
( 1
 
5.3%
) 1
 
5.3%

소재지
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T03:58:36.324584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length19.317073
Min length15

Characters and Unicode

Total characters792
Distinct characters79
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

Unique37 ?
Unique (%)90.2%

Sample

1st row동구 방촌로1길 17 (검사동)
2nd row동구 팔공로 357 (봉무동)
3rd row동구 팔공산로254길 27 (도학동)
4th row동구 공항로31길 9 (불로동)
5th row동구 갓바위로 75 (진인동)
ValueCountFrequency (%)
동구 41
22.8%
율하동 7
 
3.9%
안심로22길 7
 
3.9%
2층 5
 
2.8%
효목동 5
 
2.8%
3층 4
 
2.2%
화랑로 4
 
2.2%
동촌로 4
 
2.2%
방촌동 3
 
1.7%
40 3
 
1.7%
Other values (83) 97
53.9%
2024-03-15T03:58:37.822597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
17.6%
동 88
 
11.1%
로 42
 
5.3%
) 41
 
5.2%
구 41
 
5.2%
( 41
 
5.2%
2 35
 
4.4%
1 29
 
3.7%
길 25
 
3.2%
0 19
 
2.4%
Other values (69) 292
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
47.9%
Decimal Number 170
21.5%
Space Separator 139
 
17.6%
Close Punctuation 41
 
5.2%
Open Punctuation 41
 
5.2%
Other Punctuation 15
 
1.9%
Dash Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 88
23.2%
로 42
 
11.1%
구 41
 
10.8%
길 25
 
6.6%
층 12
 
3.2%
신 10
 
2.6%
촌 9
 
2.4%
안 9
 
2.4%
율 8
 
2.1%
심 8
 
2.1%
Other values (54) 127
33.5%
Decimal Number
ValueCountFrequency (%)
2 35
20.6%
1 29
17.1%
0 19
11.2%
4 18
10.6%
3 18
10.6%
5 15
8.8%
6 14
 
8.2%
7 13
 
7.6%
8 5
 
2.9%
9 4
 
2.4%
Space Separator
ValueCountFrequency (%)
139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 413
52.1%
Hangul 379
47.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 88
23.2%
로 42
 
11.1%
구 41
 
10.8%
길 25
 
6.6%
층 12
 
3.2%
신 10
 
2.6%
촌 9
 
2.4%
안 9
 
2.4%
율 8
 
2.1%
심 8
 
2.1%
Other values (54) 127
33.5%
Common
ValueCountFrequency (%)
139
33.7%
) 41
 
9.9%
( 41
 
9.9%
2 35
 
8.5%
1 29
 
7.0%
0 19
 
4.6%
4 18
 
4.4%
3 18
 
4.4%
5 15
 
3.6%
, 15
 
3.6%
Other values (5) 43
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 413
52.1%
Hangul 379
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
33.7%
) 41
 
9.9%
( 41
 
9.9%
2 35
 
8.5%
1 29
 
7.0%
0 19
 
4.6%
4 18
 
4.4%
3 18
 
4.4%
5 15
 
3.6%
, 15
 
3.6%
Other values (5) 43
 
10.4%
Hangul
ValueCountFrequency (%)
동 88
23.2%
로 42
 
11.1%
구 41
 
10.8%
길 25
 
6.6%
층 12
 
3.2%
신 10
 
2.6%
촌 9
 
2.4%
안 9
 
2.4%
율 8
 
2.1%
심 8
 
2.1%
Other values (54) 127
33.5%

시설장
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T03:58:38.722724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0243902
Min length3

Characters and Unicode

Total characters124
Distinct characters72
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 row김도현
2nd row김소영
3rd row박종명
4th row엄재성
5th row이정아
ValueCountFrequency (%)
김도현 1
 
2.4%
윤시은 1
 
2.4%
박청진 1
 
2.4%
김민정 1
 
2.4%
김선하 1
 
2.4%
정형진 1
 
2.4%
이해공 1
 
2.4%
강준수 1
 
2.4%
민효숙 1
 
2.4%
김문정 1
 
2.4%
Other values (31) 31
75.6%
2024-03-15T03:58:40.082505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
8.9%
정 7
 
5.6%
경 7
 
5.6%
박 5
 
4.0%
이 5
 
4.0%
민 4
 
3.2%
희 3
 
2.4%
임 3
 
2.4%
진 3
 
2.4%
은 3
 
2.4%
Other values (62) 73
58.9%

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%
정 7
 
5.7%
경 7
 
5.7%
박 5
 
4.1%
이 5
 
4.1%
민 4
 
3.3%
희 3
 
2.4%
임 3
 
2.4%
진 3
 
2.4%
은 3
 
2.4%
Other values (61) 72
58.5%
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%
정 7
 
5.7%
경 7
 
5.7%
박 5
 
4.1%
이 5
 
4.1%
민 4
 
3.3%
희 3
 
2.4%
임 3
 
2.4%
진 3
 
2.4%
은 3
 
2.4%
Other values (61) 72
58.5%
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%
정 7
 
5.7%
경 7
 
5.7%
박 5
 
4.1%
이 5
 
4.1%
민 4
 
3.3%
희 3
 
2.4%
임 3
 
2.4%
진 3
 
2.4%
은 3
 
2.4%
Other values (61) 72
58.5%
ASCII
ValueCountFrequency (%)
1
100.0%

전화번호
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T03:58:40.888607image/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

Unique37 ?
Unique (%)90.2%

Sample

1st row053-986-2077
2nd row053-710-0001
3rd row053-985-2115
4th row053-983-0755
5th row053-986-7700
ValueCountFrequency (%)
053-985-9978 2
 
4.9%
053-794-7800 2
 
4.9%
053-985-0515 1
 
2.4%
053-965-0702 1
 
2.4%
053-981-9951 1
 
2.4%
053-955-9322 1
 
2.4%
053-986-2077 1
 
2.4%
053-981-0303 1
 
2.4%
053-962-1200 1
 
2.4%
053-427-8318 1
 
2.4%
Other values (29) 29
70.7%
2024-03-15T03:58:41.911065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
18.5%
- 82
16.7%
5 72
14.6%
3 57
11.6%
9 48
9.8%
8 36
 
7.3%
1 30
 
6.1%
2 26
 
5.3%
7 22
 
4.5%
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 91
22.2%
5 72
17.6%
3 57
13.9%
9 48
11.7%
8 36
 
8.8%
1 30
 
7.3%
2 26
 
6.3%
7 22
 
5.4%
6 16
 
3.9%
4 12
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
18.5%
- 82
16.7%
5 72
14.6%
3 57
11.6%
9 48
9.8%
8 36
 
7.3%
1 30
 
6.1%
2 26
 
5.3%
7 22
 
4.5%
6 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
18.5%
- 82
16.7%
5 72
14.6%
3 57
11.6%
9 48
9.8%
8 36
 
7.3%
1 30
 
6.1%
2 26
 
5.3%
7 22
 
4.5%
6 16
 
3.3%

운영주체
Categorical

IMBALANCE 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
개인
31 
진명복지재단
 
3
(복) 한국SOS어린이마을
 
1
(주)삼승에스지엠
 
1
동화복지재단
 
1
Other values (4)
4 

Length

Max length14
Median length2
Mean length3.195122
Min length2

Unique

Unique7 ?
Unique (%)17.1%

Sample

1st row(복) 한국SOS어린이마을
2nd row(주)삼승에스지엠
3rd row동화복지재단
4th row육주복지회
5th row감천복지재단

Common Values

ValueCountFrequency (%)
개인 31
75.6%
진명복지재단 3
 
7.3%
(복) 한국SOS어린이마을 1
 
2.4%
(주)삼승에스지엠 1
 
2.4%
동화복지재단 1
 
2.4%
육주복지회 1
 
2.4%
감천복지재단 1
 
2.4%
성덕복지재단 1
 
2.4%
신안복지재 1
 
2.4%

Length

2024-03-15T03:58:42.358135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:58:42.779462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 31
73.8%
진명복지재단 3
 
7.1%
복 1
 
2.4%
한국sos어린이마을 1
 
2.4%
주)삼승에스지엠 1
 
2.4%
동화복지재단 1
 
2.4%
육주복지회 1
 
2.4%
감천복지재단 1
 
2.4%
성덕복지재단 1
 
2.4%
신안복지재 1
 
2.4%

개원일자
Date

Distinct31
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size456.0 B
Minimum2008-05-28 00:00:00
Maximum2023-11-01 00:00:00
2024-03-15T03:58:43.048512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:58:43.404097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

Interactions

2024-03-15T03:58:31.014127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:58:43.665523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설명소재지시설장전화번호운영주체개원일자
순번1.0001.0001.0001.0001.0000.4870.955
시설명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0000.9981.0001.000
시설장1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0000.9981.0001.0001.0001.000
운영주체0.4871.0001.0001.0001.0001.0000.000
개원일자0.9551.0001.0001.0001.0000.0001.000
2024-03-15T03:58:43.946014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번운영주체
순번1.0000.120
운영주체0.1201.000

Missing values

2024-03-15T03:58:31.522009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:58:32.015799image/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
01SOS프란치스카의집동구 방촌로1길 17 (검사동)김도현053-986-2077(복) 한국SOS어린이마을2008-05-28
12고운실버케어동구 팔공로 357 (봉무동)김소영053-710-0001(주)삼승에스지엠2023-11-01
23동화사 자비원동구 팔공산로254길 27 (도학동)박종명053-985-2115동화복지재단2013-04-10
34마이홈노인전문요양원동구 공항로31길 9 (불로동)엄재성053-983-0755육주복지회2008-05-28
45붓다의집동구 갓바위로 75 (진인동)이정아053-986-7700감천복지재단2008-05-28
56성덕실버타운동구 서촌로21길 20-16 (덕곡동)정경숙053-983-1376성덕복지재단2008-05-28
67신안사랑마을동구 용천로77길 50 (신무동)김은경053-985-9937신안복지재2014-09-15
78진명고향마을동구 파계로 629 (중대동)김현석053-982-8847진명복지재단2008-07-30
89진명실버타운동구 효목로 13-1 (효목동)김병극053-742-9825진명복지재단2010-08-16
910진명해안실버타운동구 신평로 54 (신평동)이경미053-981-0783진명복지재단2008-05-28
순번시설명소재지시설장전화번호운영주체개원일자
3132삼성요양원2동구 화랑로 147, 4층 (효목동)임영혜053-242-5119개인2021-01-01
3233선우요양복지센터(2)동구 안심로22길 60 (율하동,동흥타워203호)윤광묵053-961-9800개인2010-06-01
3334율하요양원동구 안심로22길 56, 303호 (율하동, 느티타워)김중경053-965-0702개인2018-05-01
3435팔공어르신요양원 동촌센터동구 동촌로 35 (입석동)장병애053-985-0515개인2013-03-19
3536한마음요양원1동구 안심로22길 40, 6층 603호 (율하동)이나겸053-794-7800개인2023-08-01
3637한마음요양원2동구 안심로22길 40, 6층 602호 (율하동)김경미053-794-7800개인2023-08-01
3738효사랑요양원1동구 안심로22길 60-3, 3층 (율하동)정은정053-985-9978개인2016-09-01
3839효사랑요양원2동구 안심로22길 60-3, 3층 (율하동)박임덕053-985-9978개인2016-09-01
3940효성실버홈동구 아양로 14, 3층 (신암동)이귀희053-955-9322개인2023-07-03
4041효성실버홈2동구 아양로 14, 2층 (신암동)양기준053-955-3100개인2023-07-03