Overview

Dataset statistics

Number of variables5
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory42.0 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description충청북도 제천시 노인복지시설 현황입니다.- 포함되어 있는 데이터는 시설명칭, 소재지, 연락처, 운영주체, 데이터기준일 입니다.
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15064640/fileData.do

Alerts

데이터기준일 has constant value ""Constant
시설명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:06:42.558667
Analysis finished2023-12-12 14:06:42.968609
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명칭
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T23:06:43.086012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length10.742424
Min length4

Characters and Unicode

Total characters709
Distinct characters139
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

Unique66 ?
Unique (%)100.0%

Sample

1st row참소망의 집
2nd row요한네집
3rd row실버하우스
4th row만나복지원
5th row약산재가노인지원센터(주간보호)
ValueCountFrequency (%)
주야간보호센터 3
 
3.3%
집 3
 
3.3%
제천실버홈 2
 
2.2%
병설 2
 
2.2%
예그리나 2
 
2.2%
행복한 2
 
2.2%
방문요양센터 2
 
2.2%
노인요양원 1
 
1.1%
가장 1
 
1.1%
노인요양시설 1
 
1.1%
Other values (73) 73
79.3%
2023-12-12T23:06:43.724569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 36
 
5.1%
센 36
 
5.1%
요 29
 
4.1%
양 28
 
3.9%
26
 
3.7%
원 26
 
3.7%
지 20
 
2.8%
주 19
 
2.7%
보 19
 
2.7%
복 18
 
2.5%
Other values (129) 452
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 644
90.8%
Space Separator 26
 
3.7%
Close Punctuation 14
 
2.0%
Open Punctuation 14
 
2.0%
Other Punctuation 8
 
1.1%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 36
 
5.6%
센 36
 
5.6%
요 29
 
4.5%
양 28
 
4.3%
원 26
 
4.0%
지 20
 
3.1%
주 19
 
3.0%
보 19
 
3.0%
복 18
 
2.8%
가 18
 
2.8%
Other values (122) 395
61.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
P 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
: 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 644
90.8%
Common 62
 
8.7%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 36
 
5.6%
센 36
 
5.6%
요 29
 
4.5%
양 28
 
4.3%
원 26
 
4.0%
지 20
 
3.1%
주 19
 
3.0%
보 19
 
3.0%
복 18
 
2.8%
가 18
 
2.8%
Other values (122) 395
61.3%
Common
ValueCountFrequency (%)
26
41.9%
) 14
22.6%
( 14
22.6%
: 8
 
12.9%
Latin
ValueCountFrequency (%)
I 1
33.3%
P 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 644
90.8%
ASCII 65
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 36
 
5.6%
센 36
 
5.6%
요 29
 
4.5%
양 28
 
4.3%
원 26
 
4.0%
지 20
 
3.1%
주 19
 
3.0%
보 19
 
3.0%
복 18
 
2.8%
가 18
 
2.8%
Other values (122) 395
61.3%
ASCII
ValueCountFrequency (%)
26
40.0%
) 14
21.5%
( 14
21.5%
: 8
 
12.3%
I 1
 
1.5%
P 1
 
1.5%
V 1
 
1.5%

소재지
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T23:06:43.979423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length17.545455
Min length11

Characters and Unicode

Total characters1158
Distinct characters94
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

Unique66 ?
Unique (%)100.0%

Sample

1st row제천시 백운면 구학산로7길22-10
2nd row제천시 금성면 양월로4길20
3rd row제천시 송학면 의림대로56길 19
4th row제천시 송학면 오미로 485
5th row 의병대로7길 8 (서부동)
ValueCountFrequency (%)
제천시 39
 
18.7%
송학면 6
 
2.9%
봉양읍 5
 
2.4%
용두천로 4
 
1.9%
청전동 4
 
1.9%
내토로 3
 
1.4%
용두천로40길 3
 
1.4%
의병대로 2
 
1.0%
용두대로 2
 
1.0%
고암동 2
 
1.0%
Other values (130) 139
66.5%
2023-12-12T23:06:44.432447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
13.9%
로 61
 
5.3%
) 60
 
5.2%
( 60
 
5.2%
1 54
 
4.7%
천 54
 
4.7%
동 52
 
4.5%
제 48
 
4.1%
길 45
 
3.9%
시 39
 
3.4%
Other values (84) 524
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
54.0%
Decimal Number 231
 
19.9%
Space Separator 161
 
13.9%
Close Punctuation 60
 
5.2%
Open Punctuation 60
 
5.2%
Dash Punctuation 15
 
1.3%
Other Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 61
 
9.8%
천 54
 
8.6%
동 52
 
8.3%
제 48
 
7.7%
길 45
 
7.2%
시 39
 
6.2%
면 16
 
2.6%
청 16
 
2.6%
전 15
 
2.4%
대 14
 
2.2%
Other values (69) 265
42.4%
Decimal Number
ValueCountFrequency (%)
1 54
23.4%
2 34
14.7%
4 27
11.7%
3 24
10.4%
6 22
9.5%
9 20
 
8.7%
5 14
 
6.1%
0 14
 
6.1%
8 13
 
5.6%
7 9
 
3.9%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 625
54.0%
Common 533
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 61
 
9.8%
천 54
 
8.6%
동 52
 
8.3%
제 48
 
7.7%
길 45
 
7.2%
시 39
 
6.2%
면 16
 
2.6%
청 16
 
2.6%
전 15
 
2.4%
대 14
 
2.2%
Other values (69) 265
42.4%
Common
ValueCountFrequency (%)
161
30.2%
) 60
 
11.3%
( 60
 
11.3%
1 54
 
10.1%
2 34
 
6.4%
4 27
 
5.1%
3 24
 
4.5%
6 22
 
4.1%
9 20
 
3.8%
- 15
 
2.8%
Other values (5) 56
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
54.0%
ASCII 533
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
30.2%
) 60
 
11.3%
( 60
 
11.3%
1 54
 
10.1%
2 34
 
6.4%
4 27
 
5.1%
3 24
 
4.5%
6 22
 
4.1%
9 20
 
3.8%
- 15
 
2.8%
Other values (5) 56
 
10.5%
Hangul
ValueCountFrequency (%)
로 61
 
9.8%
천 54
 
8.6%
동 52
 
8.3%
제 48
 
7.7%
길 45
 
7.2%
시 39
 
6.2%
면 16
 
2.6%
청 16
 
2.6%
전 15
 
2.4%
대 14
 
2.2%
Other values (69) 265
42.4%

연락처
Text

Distinct61
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T23:06:44.721532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters792
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

Unique56 ?
Unique (%)84.8%

Sample

1st row043-643-6455
2nd row043-651-2717
3rd row043-645-8352
4th row043-651-3121
5th row043-652-7100
ValueCountFrequency (%)
043-645-0988 2
 
3.0%
043-645-7955 2
 
3.0%
043-653-8181 2
 
3.0%
043-652-7100 2
 
3.0%
043-653-9927 2
 
3.0%
043-643-7601 1
 
1.5%
043-643-9352 1
 
1.5%
043-644-4161 1
 
1.5%
043-653-5040 1
 
1.5%
043-642-9352 1
 
1.5%
Other values (51) 51
77.3%
2023-12-12T23:06:45.186160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 132
16.7%
4 121
15.3%
0 112
14.1%
3 96
12.1%
6 88
11.1%
5 56
7.1%
8 45
 
5.7%
2 39
 
4.9%
9 36
 
4.5%
1 36
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 121
18.3%
0 112
17.0%
3 96
14.5%
6 88
13.3%
5 56
8.5%
8 45
 
6.8%
2 39
 
5.9%
9 36
 
5.5%
1 36
 
5.5%
7 31
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 132
16.7%
4 121
15.3%
0 112
14.1%
3 96
12.1%
6 88
11.1%
5 56
7.1%
8 45
 
5.7%
2 39
 
4.9%
9 36
 
4.5%
1 36
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 132
16.7%
4 121
15.3%
0 112
14.1%
3 96
12.1%
6 88
11.1%
5 56
7.1%
8 45
 
5.7%
2 39
 
4.9%
9 36
 
4.5%
1 36
 
4.5%

운영주체
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
개인
55 
법인
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row법인

Common Values

ValueCountFrequency (%)
개인 55
83.3%
법인 11
 
16.7%

Length

2023-12-12T23:06:45.365694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:06:45.474691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 55
83.3%
법인 11
 
16.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2023-09-12 00:00:00
Maximum2023-09-12 00:00:00
2023-12-12T23:06:45.581365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:45.701929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T23:06:45.821461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명칭소재지연락처운영주체
시설명칭1.0001.0001.0001.000
소재지1.0001.0001.0001.000
연락처1.0001.0001.0001.000
운영주체1.0001.0001.0001.000

Missing values

2023-12-12T23:06:42.831404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:06:42.928585image/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

시설명칭소재지연락처운영주체데이터기준일
0참소망의 집제천시 백운면 구학산로7길22-10043-643-6455개인2023-09-12
1요한네집제천시 금성면 양월로4길20043-651-2717개인2023-09-12
2실버하우스제천시 송학면 의림대로56길 19043-645-8352개인2023-09-12
3만나복지원제천시 송학면 오미로 485043-651-3121개인2023-09-12
4약산재가노인지원센터(주간보호)의병대로7길 8 (서부동)043-652-7100법인2023-09-12
5제천재가노인지원센터(주간보호)강저로15길 26 (강제동)043-653-9927법인2023-09-12
6제천노인복지센터내제로5길 12(명동)043-647-9966법인2023-09-12
7제천카리타스재가노인지원센터명륜로13길 3(의림동)043-644-2984법인2023-09-12
8주원주야간보호센터(주간보호)용두천로40길 11 (청전동)043-647-1008개인2023-09-12
9한마음 방문요양센터청전대로 61, 2층 (청전동)043-644-8800개인2023-09-12
시설명칭소재지연락처운영주체데이터기준일
56제천요양원(병설:제천데이케어)제천시 용두천로40길 3(청전동)043-647-7950개인2023-09-12
57송학보금자리 요양센터(병설:송학보금자리 주야간보호센터)제천시 송학면 무도2안길 84-10(송학면)043-645-0988개인2023-09-12
58나의본향노인요양센터제천시 청풍호로 19안길 49(산곡동)043-642-2790개인2023-09-12
59예그리나 요양원(병설:예그리나 병설 주야간보호센터)제천시 강저로 9길 36(강제동)043-653-8181개인2023-09-12
60도담요양원제천시 용두대로29안길 6-1(신월동)043-643-1088개인2023-09-12
61주원요양원제천시 용두천로 40길9(청전동)043-652-0191개인2023-09-12
62은행나무노인복지센터(병설:은행나무재가복지센터)제천시 탑안로 299(고암동)043-642-6072개인2023-09-12
63에덴의 집요양원제천시 수산면 수곡로1안길 21-1(수산면)043-648-8886개인2023-09-12
64빌리지포유 제천요양원제천시 독순로110(남천동)043-645-1398개인2023-09-12
65예성실버요양원제천시 용두천로 333(청전동)043-652-7908법인2023-09-12