Overview

Dataset statistics

Number of variables6
Number of observations160
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory48.8 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description광주광역시 동구 내 위치한 노인복지시설에 관한 정보로 노인복지시설 종류, 노인복지시설 구분, 행정동, 시설도로명주소 정보가 들어있습니다.
URLhttps://www.data.go.kr/data/15010943/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종류 is highly overall correlated with 시설High correlation
시설 is highly overall correlated with 종류High correlation
종류 is highly imbalanced (50.8%)Imbalance
시설 is highly imbalanced (56.3%)Imbalance

Reproduction

Analysis started2023-12-12 03:52:19.631463
Analysis finished2023-12-12 03:52:20.599497
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노인여가복지시설
125 
재가노인복지시설
24 
노인의료복지시설
 
10
노인주거복지시설
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row노인주거복지시설
2nd row노인의료복지시설
3rd row노인의료복지시설
4th row노인의료복지시설
5th row노인의료복지시설

Common Values

ValueCountFrequency (%)
노인여가복지시설 125
78.1%
재가노인복지시설 24
 
15.0%
노인의료복지시설 10
 
6.2%
노인주거복지시설 1
 
0.6%

Length

2023-12-12T12:52:20.696252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:20.880621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인여가복지시설 125
78.1%
재가노인복지시설 24
 
15.0%
노인의료복지시설 10
 
6.2%
노인주거복지시설 1
 
0.6%

시설
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경로당
120 
재가노인복지시설
24 
노인요양시설
 
9
노인교실
 
4
양로시설
 
1
Other values (2)
 
2

Length

Max length10
Median length3
Mean length4.00625
Min length3

Unique

Unique3 ?
Unique (%)1.9%

Sample

1st row양로시설
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
경로당 120
75.0%
재가노인복지시설 24
 
15.0%
노인요양시설 9
 
5.6%
노인교실 4
 
2.5%
양로시설 1
 
0.6%
노인요양공동생활가정 1
 
0.6%
노인복지관 1
 
0.6%

Length

2023-12-12T12:52:21.094546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:21.297722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 120
75.0%
재가노인복지시설 24
 
15.0%
노인요양시설 9
 
5.6%
노인교실 4
 
2.5%
양로시설 1
 
0.6%
노인요양공동생활가정 1
 
0.6%
노인복지관 1
 
0.6%

시설명
Text

Distinct159
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T12:52:21.758128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length5.09375
Min length2

Characters and Unicode

Total characters815
Distinct characters209
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)98.8%

Sample

1st row이일성로원
2nd row천혜경로원
3rd row아가페실버센터
4th row꽃메요양원
5th row용연실버빌
ValueCountFrequency (%)
꽃메요양원 2
 
1.2%
무등산골드클래스 2
 
1.2%
산수2동 2
 
1.2%
동산부녀 1
 
0.6%
현대아파트 1
 
0.6%
금호베스트빌 1
 
0.6%
무등파크1차 1
 
0.6%
무등파크2차 1
 
0.6%
라인광명 1
 
0.6%
태봉 1
 
0.6%
Other values (160) 160
92.5%
2023-12-12T12:52:22.479466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 25
 
3.1%
센 22
 
2.7%
동 21
 
2.6%
지 21
 
2.6%
터 21
 
2.6%
아 20
 
2.5%
인 20
 
2.5%
복 18
 
2.2%
녀 18
 
2.2%
부 18
 
2.2%
Other values (199) 611
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
94.5%
Space Separator 16
 
2.0%
Decimal Number 16
 
2.0%
Uppercase Letter 6
 
0.7%
Other Punctuation 3
 
0.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 25
 
3.2%
센 22
 
2.9%
동 21
 
2.7%
지 21
 
2.7%
터 21
 
2.7%
아 20
 
2.6%
인 20
 
2.6%
복 18
 
2.3%
녀 18
 
2.3%
부 18
 
2.3%
Other values (189) 566
73.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
H 1
 
16.7%
A 1
 
16.7%
L 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
1 8
50.0%
2 8
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 770
94.5%
Common 39
 
4.8%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 25
 
3.2%
센 22
 
2.9%
동 21
 
2.7%
지 21
 
2.7%
터 21
 
2.7%
아 20
 
2.6%
인 20
 
2.6%
복 18
 
2.3%
녀 18
 
2.3%
부 18
 
2.3%
Other values (189) 566
73.5%
Common
ValueCountFrequency (%)
16
41.0%
1 8
20.5%
2 8
20.5%
. 3
 
7.7%
) 2
 
5.1%
( 2
 
5.1%
Latin
ValueCountFrequency (%)
C 3
50.0%
H 1
 
16.7%
A 1
 
16.7%
L 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
94.5%
ASCII 45
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 25
 
3.2%
센 22
 
2.9%
동 21
 
2.7%
지 21
 
2.7%
터 21
 
2.7%
아 20
 
2.6%
인 20
 
2.6%
복 18
 
2.3%
녀 18
 
2.3%
부 18
 
2.3%
Other values (189) 566
73.5%
ASCII
ValueCountFrequency (%)
16
35.6%
1 8
17.8%
2 8
17.8%
. 3
 
6.7%
C 3
 
6.7%
) 2
 
4.4%
( 2
 
4.4%
H 1
 
2.2%
A 1
 
2.2%
L 1
 
2.2%

행정동명
Categorical

Distinct14
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
지원2동
36 
학운동
23 
지원1동
15 
계림2동
13 
산수2동
13 
Other values (9)
60 

Length

Max length5
Median length4
Mean length3.6375
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row지원2동
2nd row학동
3rd row동명동
4th row지원2동
5th row지원2동

Common Values

ValueCountFrequency (%)
지원2동 36
22.5%
학운동 23
14.4%
지원1동 15
9.4%
계림2동 13
 
8.1%
산수2동 13
 
8.1%
계림1동 11
 
6.9%
지산2동 10
 
6.2%
충장동 10
 
6.2%
동명동 7
 
4.4%
서남동 7
 
4.4%
Other values (4) 15
9.4%

Length

2023-12-12T12:52:22.705084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지원2동 37
23.1%
학운동 23
14.4%
지원1동 15
9.4%
계림2동 13
 
8.1%
산수2동 13
 
8.1%
계림1동 11
 
6.9%
지산2동 10
 
6.2%
충장동 10
 
6.2%
동명동 7
 
4.4%
서남동 7
 
4.4%
Other values (3) 14
 
8.8%

시설도로명주소
Text

Distinct149
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T12:52:23.035373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length23.1875
Min length18

Characters and Unicode

Total characters3710
Distinct characters104
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)86.2%

Sample

1st row광주광역시 동구 소태길 11 (소태동)
2nd row광주광역시 동구 남문로 720 (학동)
3rd row광주광역시 동구 동명로20번길 7 (동명동)
4th row광주광역시 동구 화산로238번길 28 (용산동)
5th row광주광역시 동구 선교로 197 (용연동)
ValueCountFrequency (%)
광주광역시 160
26.6%
동구 160
26.6%
계림동 8
 
1.3%
소태동 7
 
1.2%
1층 6
 
1.0%
2층 5
 
0.8%
학동 4
 
0.7%
중흥로 3
 
0.5%
남문로 3
 
0.5%
동명동 3
 
0.5%
Other values (214) 243
40.4%
2023-12-12T12:52:23.620399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
442
 
11.9%
동 341
 
9.2%
광 320
 
8.6%
구 163
 
4.4%
주 162
 
4.4%
역 160
 
4.3%
시 160
 
4.3%
( 158
 
4.3%
) 158
 
4.3%
로 128
 
3.5%
Other values (94) 1518
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2266
61.1%
Decimal Number 605
 
16.3%
Space Separator 442
 
11.9%
Open Punctuation 158
 
4.3%
Close Punctuation 158
 
4.3%
Dash Punctuation 55
 
1.5%
Other Punctuation 24
 
0.6%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 341
15.0%
광 320
14.1%
구 163
 
7.2%
주 162
 
7.1%
역 160
 
7.1%
시 160
 
7.1%
로 128
 
5.6%
길 100
 
4.4%
번 70
 
3.1%
산 60
 
2.6%
Other values (78) 602
26.6%
Decimal Number
ValueCountFrequency (%)
1 120
19.8%
2 104
17.2%
3 76
12.6%
0 51
8.4%
8 48
 
7.9%
4 46
 
7.6%
5 46
 
7.6%
6 43
 
7.1%
7 41
 
6.8%
9 30
 
5.0%
Space Separator
ValueCountFrequency (%)
442
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2266
61.1%
Common 1444
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 341
15.0%
광 320
14.1%
구 163
 
7.2%
주 162
 
7.1%
역 160
 
7.1%
시 160
 
7.1%
로 128
 
5.6%
길 100
 
4.4%
번 70
 
3.1%
산 60
 
2.6%
Other values (78) 602
26.6%
Common
ValueCountFrequency (%)
442
30.6%
( 158
 
10.9%
) 158
 
10.9%
1 120
 
8.3%
2 104
 
7.2%
3 76
 
5.3%
- 55
 
3.8%
0 51
 
3.5%
8 48
 
3.3%
4 46
 
3.2%
Other values (6) 186
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2266
61.1%
ASCII 1444
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
442
30.6%
( 158
 
10.9%
) 158
 
10.9%
1 120
 
8.3%
2 104
 
7.2%
3 76
 
5.3%
- 55
 
3.8%
0 51
 
3.5%
8 48
 
3.3%
4 46
 
3.2%
Other values (6) 186
12.9%
Hangul
ValueCountFrequency (%)
동 341
15.0%
광 320
14.1%
구 163
 
7.2%
주 162
 
7.1%
역 160
 
7.1%
시 160
 
7.1%
로 128
 
5.6%
길 100
 
4.4%
번 70
 
3.1%
산 60
 
2.6%
Other values (78) 602
26.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2023-05-15 00:00:00
Maximum2023-05-15 00:00:00
2023-12-12T12:52:23.804782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:52:23.983381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T12:52:24.110367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류시설행정동명
종류1.0001.0000.000
시설1.0001.0000.199
행정동명0.0000.1991.000
2023-12-12T12:52:24.268193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명종류시설
행정동명1.0000.0000.069
종류0.0001.0000.990
시설0.0690.9901.000
2023-12-12T12:52:24.410981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류시설행정동명
종류1.0000.9900.000
시설0.9901.0000.069
행정동명0.0000.0691.000

Missing values

2023-12-12T12:52:20.398599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:52:20.544589image/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

종류시설시설명행정동명시설도로명주소데이터기준일자
0노인주거복지시설양로시설이일성로원지원2동광주광역시 동구 소태길 11 (소태동)2023-05-15
1노인의료복지시설노인요양시설천혜경로원학동광주광역시 동구 남문로 720 (학동)2023-05-15
2노인의료복지시설노인요양시설아가페실버센터동명동광주광역시 동구 동명로20번길 7 (동명동)2023-05-15
3노인의료복지시설노인요양시설꽃메요양원지원2동광주광역시 동구 화산로238번길 28 (용산동)2023-05-15
4노인의료복지시설노인요양시설용연실버빌지원2동광주광역시 동구 선교로 197 (용연동)2023-05-15
5노인의료복지시설노인요양시설나눔요양원계림1동광주광역시 동구 중흥로 230 (계림동)2023-05-15
6노인의료복지시설노인요양시설해피맘요양원지원2동광주광역시 동구 남문로 136-7 (선교동)2023-05-15
7노인의료복지시설노인요양시설하나비젼실버홈계림1동광주광역시 동구 구성로194번길 15-19 (대인동)2023-05-15
8노인의료복지시설노인요양시설행복나래요양원지산2동광주광역시 동구 밤실로30번길 21 (지산동)2023-05-15
9노인의료복지시설노인요양시설파인트리요양원지원2동광주광역시 동구 남계길 23, 1~3층 (내남동)2023-05-15
종류시설시설명행정동명시설도로명주소데이터기준일자
150노인여가복지시설경로당용산LH경로당지원2동광주광역시 동구 용산2로20(용산동)2023-05-15
151노인여가복지시설경로당용산계룡리슈빌지원2동광주광역시 동구 용산1길2(용산동)2023-05-15
152노인여가복지시설경로당용산모아엘가지원2동광주광역시 동구 용산3길17(용산동)2023-05-15
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