Overview

Dataset statistics

Number of variables6
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory50.2 B

Variable types

Text3
Categorical2
DateTime1

Dataset

Description경기도 여주시의 노인복지시설 현황입니다. 시설명, 시설유형, 소재지도로명주소, 전화번호, 관리기관명, 기준일자 등의 정보를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/3065814/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 23:08:06.403744
Analysis finished2024-04-20 23:08:07.685965
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-21T08:08:08.416182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.5932203
Min length4

Characters and Unicode

Total characters507
Distinct characters129
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row천사의집
2nd row율로기아 노인요양공동생활가정
3rd row율로기아 노인주간보호센터
4th row너싱홈 돌체
5th row행복한노인복지센터
ValueCountFrequency (%)
율로기아 2
 
2.7%
여주드림의 2
 
2.7%
여주 2
 
2.7%
방문요양센터 2
 
2.7%
천사의집 1
 
1.4%
골든밸리 1
 
1.4%
여주사랑재가복지센터 1
 
1.4%
우리노인주간보호센터 1
 
1.4%
우리노인요양원 1
 
1.4%
우리노인전문요양원 1
 
1.4%
Other values (60) 60
81.1%
2024-04-21T08:08:09.618002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 30
 
5.9%
요 27
 
5.3%
터 26
 
5.1%
센 26
 
5.1%
주 21
 
4.1%
노 20
 
3.9%
원 20
 
3.9%
인 18
 
3.6%
가 15
 
3.0%
15
 
3.0%
Other values (119) 289
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
96.3%
Space Separator 15
 
3.0%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 30
 
6.1%
요 27
 
5.5%
터 26
 
5.3%
센 26
 
5.3%
주 21
 
4.3%
노 20
 
4.1%
원 20
 
4.1%
인 18
 
3.7%
가 15
 
3.1%
복 12
 
2.5%
Other values (116) 273
55.9%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
96.3%
Common 19
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 30
 
6.1%
요 27
 
5.5%
터 26
 
5.3%
센 26
 
5.3%
주 21
 
4.3%
노 20
 
4.1%
원 20
 
4.1%
인 18
 
3.7%
가 15
 
3.1%
복 12
 
2.5%
Other values (116) 273
55.9%
Common
ValueCountFrequency (%)
15
78.9%
( 2
 
10.5%
) 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
96.3%
ASCII 19
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 30
 
6.1%
요 27
 
5.5%
터 26
 
5.3%
센 26
 
5.3%
주 21
 
4.3%
노 20
 
4.1%
원 20
 
4.1%
인 18
 
3.7%
가 15
 
3.1%
복 12
 
2.5%
Other values (116) 273
55.9%
ASCII
ValueCountFrequency (%)
15
78.9%
( 2
 
10.5%
) 2
 
10.5%

시설유형
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size600.0 B
노인의료복지시설
28 
재가노인복지시설
25 
노인주거복지시설
6 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인의료복지시설 28
47.5%
재가노인복지시설 25
42.4%
노인주거복지시설 6
 
10.2%

Length

2024-04-21T08:08:09.839164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:08:10.008335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인의료복지시설 28
47.5%
재가노인복지시설 25
42.4%
노인주거복지시설 6
 
10.2%

소재지도로명주소
Text

Distinct54
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-21T08:08:10.754229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length23.254237
Min length14

Characters and Unicode

Total characters1372
Distinct characters107
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

Unique49 ?
Unique (%)83.1%

Sample

1st row경기도 여주시 가남읍 건은로 180-23
2nd row경기도 여주시 가남읍 그랜드그린길 101
3rd row경기도 여주시 가남읍 그랜드그린길 101
4th row경기도 여주시 가남읍 신대동길 2-41
5th row경기도 여주시 가남읍 신해2길 36-1
ValueCountFrequency (%)
경기도 59
 
19.0%
여주시 59
 
19.0%
가남읍 9
 
2.9%
세종대왕면 7
 
2.3%
북내면 7
 
2.3%
강천면 5
 
1.6%
2층 4
 
1.3%
중부대로 4
 
1.3%
대신면 4
 
1.3%
도예로 3
 
1.0%
Other values (119) 149
48.1%
2024-04-21T08:08:11.764697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
18.4%
여 69
 
5.0%
1 67
 
4.9%
도 62
 
4.5%
경 59
 
4.3%
주 59
 
4.3%
시 59
 
4.3%
기 59
 
4.3%
2 46
 
3.4%
로 41
 
3.0%
Other values (97) 599
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
56.0%
Decimal Number 271
 
19.8%
Space Separator 252
 
18.4%
Dash Punctuation 33
 
2.4%
Close Punctuation 16
 
1.2%
Open Punctuation 16
 
1.2%
Other Punctuation 14
 
1.0%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 69
 
9.0%
도 62
 
8.1%
경 59
 
7.7%
주 59
 
7.7%
시 59
 
7.7%
기 59
 
7.7%
로 41
 
5.3%
면 31
 
4.0%
길 23
 
3.0%
동 22
 
2.9%
Other values (81) 285
37.1%
Decimal Number
ValueCountFrequency (%)
1 67
24.7%
2 46
17.0%
3 33
12.2%
0 29
10.7%
4 27
10.0%
6 20
 
7.4%
7 14
 
5.2%
8 12
 
4.4%
5 12
 
4.4%
9 11
 
4.1%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
56.0%
Common 602
43.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 69
 
9.0%
도 62
 
8.1%
경 59
 
7.7%
주 59
 
7.7%
시 59
 
7.7%
기 59
 
7.7%
로 41
 
5.3%
면 31
 
4.0%
길 23
 
3.0%
동 22
 
2.9%
Other values (81) 285
37.1%
Common
ValueCountFrequency (%)
252
41.9%
1 67
 
11.1%
2 46
 
7.6%
- 33
 
5.5%
3 33
 
5.5%
0 29
 
4.8%
4 27
 
4.5%
6 20
 
3.3%
) 16
 
2.7%
( 16
 
2.7%
Other values (5) 63
 
10.5%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
56.0%
ASCII 603
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
41.8%
1 67
 
11.1%
2 46
 
7.6%
- 33
 
5.5%
3 33
 
5.5%
0 29
 
4.8%
4 27
 
4.5%
6 20
 
3.3%
) 16
 
2.7%
( 16
 
2.7%
Other values (6) 64
 
10.6%
Hangul
ValueCountFrequency (%)
여 69
 
9.0%
도 62
 
8.1%
경 59
 
7.7%
주 59
 
7.7%
시 59
 
7.7%
기 59
 
7.7%
로 41
 
5.3%
면 31
 
4.0%
길 23
 
3.0%
동 22
 
2.9%
Other values (81) 285
37.1%

전화번호
Text

Distinct55
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-21T08:08:12.561574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016949
Min length12

Characters and Unicode

Total characters709
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

Unique51 ?
Unique (%)86.4%

Sample

1st row031-884-8353
2nd row031-884-1852
3rd row031-884-1852
4th row031-883-9393
5th row031-882-5111
ValueCountFrequency (%)
031-883-8375 2
 
3.4%
031-884-1852 2
 
3.4%
031-886-9987 2
 
3.4%
031-886-6652 2
 
3.4%
031-886-1344 1
 
1.7%
031-883-1385 1
 
1.7%
031-884-6254 1
 
1.7%
031-883-8839 1
 
1.7%
031-882-8200 1
 
1.7%
031-882-1376 1
 
1.7%
Other values (45) 45
76.3%
2024-04-21T08:08:13.595310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 148
20.9%
- 118
16.6%
1 97
13.7%
3 91
12.8%
0 86
12.1%
5 37
 
5.2%
2 33
 
4.7%
6 32
 
4.5%
4 28
 
3.9%
7 24
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 591
83.4%
Dash Punctuation 118
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 148
25.0%
1 97
16.4%
3 91
15.4%
0 86
14.6%
5 37
 
6.3%
2 33
 
5.6%
6 32
 
5.4%
4 28
 
4.7%
7 24
 
4.1%
9 15
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 709
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 148
20.9%
- 118
16.6%
1 97
13.7%
3 91
12.8%
0 86
12.1%
5 37
 
5.2%
2 33
 
4.7%
6 32
 
4.5%
4 28
 
3.9%
7 24
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 148
20.9%
- 118
16.6%
1 97
13.7%
3 91
12.8%
0 86
12.1%
5 37
 
5.2%
2 33
 
4.7%
6 32
 
4.5%
4 28
 
3.9%
7 24
 
3.4%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size600.0 B
경기도 여주시청
59 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 여주시청
2nd row경기도 여주시청
3rd row경기도 여주시청
4th row경기도 여주시청
5th row경기도 여주시청

Common Values

ValueCountFrequency (%)
경기도 여주시청 59
100.0%

Length

2024-04-21T08:08:14.005065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:08:14.296017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 59
50.0%
여주시청 59
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size600.0 B
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-04-21T08:08:14.536582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:08:14.833704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-21T08:08:15.039969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설유형소재지도로명주소전화번호
시설명1.0001.0001.0001.000
시설유형1.0001.0000.7640.801
소재지도로명주소1.0000.7641.0000.998
전화번호1.0000.8010.9981.000

Missing values

2024-04-21T08:08:07.019039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T08:08:07.544043image/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

시설명시설유형소재지도로명주소전화번호관리기관명데이터기준일자
0천사의집노인의료복지시설경기도 여주시 가남읍 건은로 180-23031-884-8353경기도 여주시청2023-08-01
1율로기아 노인요양공동생활가정노인의료복지시설경기도 여주시 가남읍 그랜드그린길 101031-884-1852경기도 여주시청2023-08-01
2율로기아 노인주간보호센터재가노인복지시설경기도 여주시 가남읍 그랜드그린길 101031-884-1852경기도 여주시청2023-08-01
3너싱홈 돌체노인의료복지시설경기도 여주시 가남읍 신대동길 2-41031-883-9393경기도 여주시청2023-08-01
4행복한노인복지센터재가노인복지시설경기도 여주시 가남읍 신해2길 36-1031-882-5111경기도 여주시청2023-08-01
5창강양로원노인주거복지시설경기도 여주시 가남읍 연삼로 331-6031-548-1201경기도 여주시청2023-08-01
6여주 예수원노인주거복지시설경기도 여주시 가남읍 월평로 613-21031-884-0214경기도 여주시청2023-08-01
7가남반석노인주간보호센터재가노인복지시설경기도 여주시 가남읍 은봉길 116-29031-884-8359경기도 여주시청2023-08-01
8여주재활노인주간보호센터재가노인복지시설경기도 여주시 가남읍 태평로 62031-882-5681경기도 여주시청2023-08-01
9대진요양시설노인의료복지시설경기도 여주시 강천면 강천로 702031-887-0500경기도 여주시청2023-08-01
시설명시설유형소재지도로명주소전화번호관리기관명데이터기준일자
49여주중앙노인주간보호센터재가노인복지시설경기도 여주시 우암로 40-15 (하동)031-885-9009경기도 여주시청2023-08-01
50성화노인요양원노인의료복지시설경기도 여주시 점동면 건장이길 53-18031-885-4116경기도 여주시청2023-08-01
51은빛고운마을노인의료복지시설경기도 여주시 점동면 장여로 987-43031-883-7753경기도 여주시청2023-08-01
52광민형제의집노인주거복지시설경기도 여주시 점봉길 17031-886-0616경기도 여주시청2023-08-01
53신륵노인복지센터재가노인복지시설경기도 여주시 천송동 신륵로 112-30031-885-5275경기도 여주시청2023-08-01
54여주탑재가복지센터재가노인복지시설경기도 여주시 청심로 14, 2층031-883-8839경기도 여주시청2023-08-01
55효원재가복지센터재가노인복지시설경기도 여주시 청심로166번길 14 (홍문동)031-884-6254경기도 여주시청2023-08-01
56행복방문요양센터재가노인복지시설경기도 여주시 현암2길 28-6, 1동 306호 (현암동)070-4027-0582경기도 여주시청2023-08-01
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