Overview

Dataset statistics

Number of variables5
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)2.3%
Total size in memory3.5 KiB
Average record size in memory41.5 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description대구광역시 남구_노인복지시설_20190711
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3072257&dataSetDetailId=307225728db8a33d9f5a_201907111515&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 2 (2.3%) duplicate rowsDuplicates
구분 is highly imbalanced (77.2%)Imbalance

Reproduction

Analysis started2023-12-10 19:15:35.871330
Analysis finished2023-12-10 19:15:37.827795
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
장기요양기관
81 
노인교실
 
4
노인인력전담기관
 
1

Length

Max length8
Median length6
Mean length5.9302326
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row노인인력전담기관
2nd row노인교실
3rd row노인교실
4th row노인교실
5th row노인교실

Common Values

ValueCountFrequency (%)
장기요양기관 81
94.2%
노인교실 4
 
4.7%
노인인력전담기관 1
 
1.2%

Length

2023-12-11T04:15:37.947505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:15:38.126720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장기요양기관 81
94.2%
노인교실 4
 
4.7%
노인인력전담기관 1
 
1.2%

시설명
Text

Distinct81
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T04:15:38.466710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.6627907
Min length2

Characters and Unicode

Total characters745
Distinct characters149
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

Unique76 ?
Unique (%)88.4%

Sample

1st row남구시니어클럽
2nd row남구노인대학
3rd row대덕평생대학
4th row햇빛노인대학
5th row대봉건강대학
ValueCountFrequency (%)
노인복지센터 3
 
2.9%
재활노인요양원 2
 
2.0%
온누리요양타운a 2
 
2.0%
선정효요양센터 2
 
2.0%
만수노인요양센터 2
 
2.0%
명인요양센터 2
 
2.0%
재가노인복지센터 2
 
2.0%
영문대재가장기요양센터 1
 
1.0%
희망노인복지센터 1
 
1.0%
용품 1
 
1.0%
Other values (84) 84
82.4%
2023-12-11T04:15:39.073668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 56
 
7.5%
터 56
 
7.5%
요 42
 
5.6%
양 41
 
5.5%
복 37
 
5.0%
인 36
 
4.8%
지 36
 
4.8%
노 34
 
4.6%
가 20
 
2.7%
재 19
 
2.6%
Other values (139) 368
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
94.5%
Space Separator 16
 
2.1%
Decimal Number 10
 
1.3%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 56
 
8.0%
터 56
 
8.0%
요 42
 
6.0%
양 41
 
5.8%
복 37
 
5.3%
인 36
 
5.1%
지 36
 
5.1%
노 34
 
4.8%
가 20
 
2.8%
재 19
 
2.7%
Other values (131) 327
46.4%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
3 3
30.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
94.5%
Common 38
 
5.1%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 56
 
8.0%
터 56
 
8.0%
요 42
 
6.0%
양 41
 
5.8%
복 37
 
5.3%
인 36
 
5.1%
지 36
 
5.1%
노 34
 
4.8%
가 20
 
2.8%
재 19
 
2.7%
Other values (131) 327
46.4%
Common
ValueCountFrequency (%)
16
42.1%
) 6
 
15.8%
( 6
 
15.8%
1 3
 
7.9%
2 3
 
7.9%
3 3
 
7.9%
4 1
 
2.6%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
94.5%
ASCII 41
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 56
 
8.0%
터 56
 
8.0%
요 42
 
6.0%
양 41
 
5.8%
복 37
 
5.3%
인 36
 
5.1%
지 36
 
5.1%
노 34
 
4.8%
가 20
 
2.8%
재 19
 
2.7%
Other values (131) 327
46.4%
ASCII
ValueCountFrequency (%)
16
39.0%
) 6
 
14.6%
( 6
 
14.6%
A 3
 
7.3%
1 3
 
7.3%
2 3
 
7.3%
3 3
 
7.3%
4 1
 
2.4%

주소
Text

Distinct74
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T04:15:39.548690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length19.593023
Min length14

Characters and Unicode

Total characters1685
Distinct characters77
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)73.3%

Sample

1st row대구광역시 남구 이천로28길 42-43(이천동)
2nd row대구광역시 남구 대명로20길 28 (대명동)
3rd row대구광역시 남구 큰골길 137 (대명동)
4th row대구광역시 남구 중앙대로38길 17 (대명동)
5th row대구광역시 남구 명덕로 286 (이천동)
ValueCountFrequency (%)
대구광역시 86
22.5%
남구 86
22.5%
2층 12
 
3.1%
대명로 12
 
3.1%
두류공원로 9
 
2.4%
26 7
 
1.8%
성당로 5
 
1.3%
5층 4
 
1.0%
4층 4
 
1.0%
중앙대로22길 3
 
0.8%
Other values (114) 154
40.3%
2023-12-11T04:15:40.259510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
17.6%
구 172
 
10.2%
대 129
 
7.7%
남 87
 
5.2%
광 86
 
5.1%
역 86
 
5.1%
시 86
 
5.1%
2 74
 
4.4%
로 71
 
4.2%
1 63
 
3.7%
Other values (67) 535
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1009
59.9%
Decimal Number 323
 
19.2%
Space Separator 296
 
17.6%
Other Punctuation 27
 
1.6%
Dash Punctuation 19
 
1.1%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 172
17.0%
대 129
12.8%
남 87
8.6%
광 86
8.5%
역 86
8.5%
시 86
8.5%
로 71
 
7.0%
길 42
 
4.2%
층 30
 
3.0%
명 28
 
2.8%
Other values (50) 192
19.0%
Decimal Number
ValueCountFrequency (%)
2 74
22.9%
1 63
19.5%
6 36
11.1%
3 30
9.3%
4 26
 
8.0%
8 26
 
8.0%
7 24
 
7.4%
5 19
 
5.9%
0 16
 
5.0%
9 9
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
/ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1009
59.9%
Common 675
40.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 172
17.0%
대 129
12.8%
남 87
8.6%
광 86
8.5%
역 86
8.5%
시 86
8.5%
로 71
 
7.0%
길 42
 
4.2%
층 30
 
3.0%
명 28
 
2.8%
Other values (50) 192
19.0%
Common
ValueCountFrequency (%)
296
43.9%
2 74
 
11.0%
1 63
 
9.3%
6 36
 
5.3%
3 30
 
4.4%
4 26
 
3.9%
, 26
 
3.9%
8 26
 
3.9%
7 24
 
3.6%
- 19
 
2.8%
Other values (6) 55
 
8.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1009
59.9%
ASCII 676
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
296
43.8%
2 74
 
10.9%
1 63
 
9.3%
6 36
 
5.3%
3 30
 
4.4%
4 26
 
3.8%
, 26
 
3.8%
8 26
 
3.8%
7 24
 
3.6%
- 19
 
2.8%
Other values (7) 56
 
8.3%
Hangul
ValueCountFrequency (%)
구 172
17.0%
대 129
12.8%
남 87
8.6%
광 86
8.5%
역 86
8.5%
시 86
8.5%
로 71
 
7.0%
길 42
 
4.2%
층 30
 
3.0%
명 28
 
2.8%
Other values (50) 192
19.0%

전화번호
Text

Distinct76
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T04:15:40.653410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034884
Min length12

Characters and Unicode

Total characters1035
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

Unique66 ?
Unique (%)76.7%

Sample

1st row053-471-8090
2nd row053-627-2237
3rd row053-621-9525
4th row053-476-7733
5th row053-472-9277
ValueCountFrequency (%)
053-628-8833 2
 
2.3%
053-637-3397 2
 
2.3%
053-623-0528 2
 
2.3%
053-624-0047 2
 
2.3%
053-652-5353 2
 
2.3%
053-624-5266 2
 
2.3%
053-652-0331 2
 
2.3%
053-643-0361 2
 
2.3%
053-656-1222 2
 
2.3%
053-000-0000 2
 
2.3%
Other values (66) 66
76.7%
2023-12-11T04:15:41.228711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 172
16.6%
5 156
15.1%
3 145
14.0%
0 142
13.7%
6 85
8.2%
2 84
8.1%
7 71
6.9%
4 54
 
5.2%
8 48
 
4.6%
1 40
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 863
83.4%
Dash Punctuation 172
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 156
18.1%
3 145
16.8%
0 142
16.5%
6 85
9.8%
2 84
9.7%
7 71
8.2%
4 54
 
6.3%
8 48
 
5.6%
1 40
 
4.6%
9 38
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 172
16.6%
5 156
15.1%
3 145
14.0%
0 142
13.7%
6 85
8.2%
2 84
8.1%
7 71
6.9%
4 54
 
5.2%
8 48
 
4.6%
1 40
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 172
16.6%
5 156
15.1%
3 145
14.0%
0 142
13.7%
6 85
8.2%
2 84
8.1%
7 71
6.9%
4 54
 
5.2%
8 48
 
4.6%
1 40
 
3.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2019-07-11 00:00:00
Maximum2019-07-11 00:00:00
2023-12-11T04:15:41.411117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:15:41.526291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T04:15:41.648530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명주소전화번호
구분1.0001.0001.0001.000
시설명1.0001.0000.9980.998
주소1.0000.9981.0000.995
전화번호1.0000.9980.9951.000

Missing values

2023-12-11T04:15:37.591497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:15:37.766296image/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

구분시설명주소전화번호데이터기준일자
0노인인력전담기관남구시니어클럽대구광역시 남구 이천로28길 42-43(이천동)053-471-80902019-07-11
1노인교실남구노인대학대구광역시 남구 대명로20길 28 (대명동)053-627-22372019-07-11
2노인교실대덕평생대학대구광역시 남구 큰골길 137 (대명동)053-621-95252019-07-11
3노인교실햇빛노인대학대구광역시 남구 중앙대로38길 17 (대명동)053-476-77332019-07-11
4노인교실대봉건강대학대구광역시 남구 명덕로 286 (이천동)053-472-92772019-07-11
5장기요양기관무량수전 노인전문요양원대구광역시 남구 중앙대로 122053-477-33342019-07-11
6장기요양기관여래원대구광역시 남구 이천로28길 8-52053-472-22222019-07-11
7장기요양기관영문대요양원대구광역시 남구 양지북길 126053-652-53532019-07-11
8장기요양기관휴마나두류요양원대구광역시 남구 성당로 86-1053-654-71712019-07-11
9장기요양기관앞산고을요양센터(공동)대구광역시 남구 용두2길 37053-637-33972019-07-11
구분시설명주소전화번호데이터기준일자
76장기요양기관명인요양센터대구광역시 남구 중앙대로22길 256, 5층053-473-88892019-07-11
77장기요양기관늘봄노인요양복지센터대구광역시 남구 대경5길 101-16 1층053-812-37892019-07-11
78장기요양기관지원케어 재가노인복지센터대구광역시 남구 앞산순환로 704053-473-46402019-07-11
79장기요양기관에덴복지요양센터대구광역시 남구 대명로 214, 2층053-629-95552019-07-11
80장기요양기관느티나무 재가노인복지센터대구광역시 남구 대경길 120053-623-01192019-07-11
81장기요양기관가톨릭요양센터대구광역시 남구 두류공원로 96, 2층053-628-88332019-07-11
82장기요양기관오케이노인복지센터대구광역시 남구 대명로 25, 2층053-628-27002019-07-11
83장기요양기관대명노인복지센터대구광역시 남구 중앙대로31길 162053-627-67682019-07-11
84장기요양기관앞산노인복지센터대구광역시 남구 앞산순환로 712, 2층053-284-08082019-07-11
85장기요양기관효사랑 노인복지센터대구광역시 남구 현충로26길 67, 상가동 101호053-628-30402019-07-11

Duplicate rows

Most frequently occurring

구분시설명주소전화번호데이터기준일자# duplicates
0장기요양기관선정효요양센터대구광역시 남구 대명로 254, 1층053-652-03312019-07-112
1장기요양기관재활노인요양원대구광역시 남구 대덕초등길 66053-624-52662019-07-112