Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells28
Missing cells (%)14.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory52.1 B

Variable types

Text4
Categorical1
DateTime1

Dataset

Description보은군 노인복지시설 현황 데이터로 노인의료복지시설, 노인여가복지시설, 재가노인복지시설, 재가장기요양기관의 항목을 제공합니다.
Author충청북도 보은군
URLhttps://www.data.go.kr/data/3071089/fileData.do

Alerts

데이터기준일 has constant value ""Constant
구분 has 28 (87.5%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:42:23.620475
Analysis finished2023-12-12 07:42:24.017418
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing28
Missing (%)87.5%
Memory size388.0 B
2023-12-12T16:42:24.113840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters32
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row노인의료복지시설
2nd row노인여가복지시설
3rd row재가노인복지시설
4th row재가장기요양기관
ValueCountFrequency (%)
노인의료복지시설 1
25.0%
노인여가복지시설 1
25.0%
재가노인복지시설 1
25.0%
재가장기요양기관 1
25.0%
2023-12-12T16:42:24.431078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 3
9.4%
인 3
9.4%
복 3
9.4%
지 3
9.4%
시 3
9.4%
설 3
9.4%
가 3
9.4%
재 2
 
6.2%
기 2
 
6.2%
의 1
 
3.1%
Other values (6) 6
18.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 3
9.4%
인 3
9.4%
복 3
9.4%
지 3
9.4%
시 3
9.4%
설 3
9.4%
가 3
9.4%
재 2
 
6.2%
기 2
 
6.2%
의 1
 
3.1%
Other values (6) 6
18.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 3
9.4%
인 3
9.4%
복 3
9.4%
지 3
9.4%
시 3
9.4%
설 3
9.4%
가 3
9.4%
재 2
 
6.2%
기 2
 
6.2%
의 1
 
3.1%
Other values (6) 6
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 3
9.4%
인 3
9.4%
복 3
9.4%
지 3
9.4%
시 3
9.4%
설 3
9.4%
가 3
9.4%
재 2
 
6.2%
기 2
 
6.2%
의 1
 
3.1%
Other values (6) 6
18.8%

시설명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:42:24.679366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.125
Min length3

Characters and Unicode

Total characters292
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row인우원
2nd row보은의집
3rd row성암안식원
4th row성암홈케어
5th row소망노인요양원
ValueCountFrequency (%)
인우원 1
 
2.9%
예닮노인복지센터 1
 
2.9%
온누리사회서비스센터 1
 
2.9%
백세복지재가장기요양기관 1
 
2.9%
예닮의료기(태양사 1
 
2.9%
나눔재가복지센터 1
 
2.9%
섬기는재가노인복지센터 1
 
2.9%
한울타리재가노인복지센터 1
 
2.9%
a)은빛사랑노인복지센터 1
 
2.9%
보은의집 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T16:42:25.055299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 21
 
7.2%
지 21
 
7.2%
복 21
 
7.2%
터 20
 
6.8%
인 19
 
6.5%
노 18
 
6.2%
재 12
 
4.1%
가 12
 
4.1%
보 11
 
3.8%
은 9
 
3.1%
Other values (74) 128
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
97.6%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Space Separator 2
 
0.7%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 21
 
7.4%
지 21
 
7.4%
복 21
 
7.4%
터 20
 
7.0%
인 19
 
6.7%
노 18
 
6.3%
재 12
 
4.2%
가 12
 
4.2%
보 11
 
3.9%
은 9
 
3.2%
Other values (70) 121
42.5%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
97.6%
Common 6
 
2.1%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 21
 
7.4%
지 21
 
7.4%
복 21
 
7.4%
터 20
 
7.0%
인 19
 
6.7%
노 18
 
6.3%
재 12
 
4.2%
가 12
 
4.2%
보 11
 
3.9%
은 9
 
3.2%
Other values (70) 121
42.5%
Common
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
2
33.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
97.6%
ASCII 7
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 21
 
7.4%
지 21
 
7.4%
복 21
 
7.4%
터 20
 
7.0%
인 19
 
6.7%
노 18
 
6.3%
재 12
 
4.2%
가 12
 
4.2%
보 11
 
3.9%
은 9
 
3.2%
Other values (70) 121
42.5%
ASCII
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
2
28.6%
A 1
14.3%

시설종류
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
방문요양,방문목욕
11 
방문요양
7 
노인요양시설
5 
노인복지관
3 
주간보호
3 
Other values (2)
3 

Length

Max length9
Median length6
Mean length6.59375
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 11
34.4%
방문요양 7
21.9%
노인요양시설 5
15.6%
노인복지관 3
 
9.4%
주간보호 3
 
9.4%
복지용구제공사업소 2
 
6.2%
재가노인지원서비스 1
 
3.1%

Length

2023-12-12T16:42:25.244538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:42:25.348258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양,방문목욕 11
34.4%
방문요양 7
21.9%
노인요양시설 5
15.6%
노인복지관 3
 
9.4%
주간보호 3
 
9.4%
복지용구제공사업소 2
 
6.2%
재가노인지원서비스 1
 
3.1%

위치
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:42:25.550765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length14.34375
Min length9

Characters and Unicode

Total characters459
Distinct characters70
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

Unique28 ?
Unique (%)87.5%

Sample

1st row수한면 거현교암로 141-28
2nd row내북면 남부로 6427-31
3rd row내북면 남부로 6427-39
4th row내북면 남부로 6427-28
5th row수한면 후평바리미길 22-6
ValueCountFrequency (%)
보은읍 19
 
17.9%
내북면 4
 
3.8%
1층 4
 
3.8%
수한면 3
 
2.8%
남부로 3
 
2.8%
보은로 3
 
2.8%
뱃들로 2
 
1.9%
삼산로4길 2
 
1.9%
보청대로 2
 
1.9%
후평바리미길 2
 
1.9%
Other values (54) 62
58.5%
2023-12-12T16:42:25.975694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
16.1%
1 31
 
6.8%
보 24
 
5.2%
은 22
 
4.8%
- 21
 
4.6%
2 20
 
4.4%
로 19
 
4.1%
읍 19
 
4.1%
길 17
 
3.7%
4 15
 
3.3%
Other values (60) 197
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
49.7%
Decimal Number 124
27.0%
Space Separator 74
 
16.1%
Dash Punctuation 21
 
4.6%
Other Punctuation 10
 
2.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 24
 
10.5%
은 22
 
9.6%
로 19
 
8.3%
읍 19
 
8.3%
길 17
 
7.5%
면 12
 
5.3%
삼 9
 
3.9%
산 9
 
3.9%
층 7
 
3.1%
들 5
 
2.2%
Other values (45) 85
37.3%
Decimal Number
ValueCountFrequency (%)
1 31
25.0%
2 20
16.1%
4 15
12.1%
7 14
11.3%
3 14
11.3%
0 11
 
8.9%
6 9
 
7.3%
8 6
 
4.8%
9 3
 
2.4%
5 1
 
0.8%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
50.3%
Hangul 228
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 24
 
10.5%
은 22
 
9.6%
로 19
 
8.3%
읍 19
 
8.3%
길 17
 
7.5%
면 12
 
5.3%
삼 9
 
3.9%
산 9
 
3.9%
층 7
 
3.1%
들 5
 
2.2%
Other values (45) 85
37.3%
Common
ValueCountFrequency (%)
74
32.0%
1 31
13.4%
- 21
 
9.1%
2 20
 
8.7%
4 15
 
6.5%
7 14
 
6.1%
3 14
 
6.1%
0 11
 
4.8%
, 10
 
4.3%
6 9
 
3.9%
Other values (5) 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
50.3%
Hangul 228
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
32.0%
1 31
13.4%
- 21
 
9.1%
2 20
 
8.7%
4 15
 
6.5%
7 14
 
6.1%
3 14
 
6.1%
0 11
 
4.8%
, 10
 
4.3%
6 9
 
3.9%
Other values (5) 12
 
5.2%
Hangul
ValueCountFrequency (%)
보 24
 
10.5%
은 22
 
9.6%
로 19
 
8.3%
읍 19
 
8.3%
길 17
 
7.5%
면 12
 
5.3%
삼 9
 
3.9%
산 9
 
3.9%
층 7
 
3.1%
들 5
 
2.2%
Other values (45) 85
37.3%

전화번호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T16:42:26.242185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique28 ?
Unique (%)87.5%

Sample

1st row043-543-3711
2nd row043-544-1123
3rd row043-542-0202
4th row043-544-1025
5th row043-543-0256
ValueCountFrequency (%)
043-543-0256 2
 
6.2%
043-544-5446 2
 
6.2%
043-543-3711 1
 
3.1%
043-543-2032 1
 
3.1%
043-544-2888 1
 
3.1%
043-544-4419 1
 
3.1%
043-542-4832 1
 
3.1%
043-542-8622 1
 
3.1%
043-542-8534 1
 
3.1%
043-542-3411 1
 
3.1%
Other values (20) 20
62.5%
2023-12-12T16:42:26.604347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 92
24.0%
- 64
16.7%
3 53
13.8%
0 46
12.0%
5 46
12.0%
2 27
 
7.0%
8 18
 
4.7%
1 12
 
3.1%
6 10
 
2.6%
9 9
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 92
28.7%
3 53
16.6%
0 46
14.4%
5 46
14.4%
2 27
 
8.4%
8 18
 
5.6%
1 12
 
3.8%
6 10
 
3.1%
9 9
 
2.8%
7 7
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 92
24.0%
- 64
16.7%
3 53
13.8%
0 46
12.0%
5 46
12.0%
2 27
 
7.0%
8 18
 
4.7%
1 12
 
3.1%
6 10
 
2.6%
9 9
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 92
24.0%
- 64
16.7%
3 53
13.8%
0 46
12.0%
5 46
12.0%
2 27
 
7.0%
8 18
 
4.7%
1 12
 
3.1%
6 10
 
2.6%
9 9
 
2.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2022-10-13 00:00:00
Maximum2022-10-13 00:00:00
2023-12-12T16:42:26.749067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:42:26.862533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T16:42:26.950255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명시설종류위치전화번호
구분1.0001.0001.0001.0001.000
시설명1.0001.0001.0001.0001.000
시설종류1.0001.0001.0000.0000.000
위치1.0001.0000.0001.0001.000
전화번호1.0001.0000.0001.0001.000

Missing values

2023-12-12T16:42:23.884405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:42:23.977215image/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

구분시설명시설종류위치전화번호데이터기준일
0노인의료복지시설인우원노인요양시설수한면 거현교암로 141-28043-543-37112022-10-13
1<NA>보은의집노인요양시설내북면 남부로 6427-31043-544-11232022-10-13
2<NA>성암안식원노인요양시설내북면 남부로 6427-39043-542-02022022-10-13
3<NA>성암홈케어노인요양시설내북면 남부로 6427-28043-544-10252022-10-13
4<NA>소망노인요양원노인요양시설수한면 후평바리미길 22-6043-543-02562022-10-13
5노인여가복지시설보은군노인복지관노인복지관보은읍 뱃들4길 11-10043-544-54462022-10-13
6<NA>보은군실버복지관노인복지관보은읍 군청길 110-17043-544-33112022-10-13
7<NA>대청댐노인복지관노인복지관회인면 회인로 78043-544-65502022-10-13
8재가노인복지시설보은군재가노인지원서비스센터재가노인지원서비스보은읍 뱃들4길 11-10043-544-54462022-10-13
9<NA>소망노인복지센터방문요양,방문목욕수한면 후평바리미길 22-6043-543-02562022-10-13
구분시설명시설종류위치전화번호데이터기준일
22<NA>섬기는재가노인복지센터방문요양,방문목욕보은읍 보청대로 1883, 1층043-543-84652022-10-13
23<NA>한울타리재가노인복지센터방문요양보은읍 뱃들3길 6, 203호043-543-77872022-10-13
24<NA>예닮노인복지센터방문요양,방문목욕보은읍 삼산로4길 4-1043-544-99992022-10-13
25<NA>(A)은빛사랑노인복지센터방문요양,방문목욕보은읍 성주배다리길 19-24043-542-34112022-10-13
26<NA>보은제일재가노인복지센터방문요양,방문목욕장안면 오창길 12043-542-85342022-10-13
27<NA>사랑플러스재가복지센터방문요양보은읍 보은로 29, 207호 (대우연립주택)043-542-86222022-10-13
28<NA>보은의료기복지용구제공사업소보은읍 보은로 100-1043-542-48322022-10-13
29<NA>우리엄마 재가복지센타방문요양보은읍 삼산로2길 7-7043-544-44192022-10-13
30<NA>봄누리주간보호센터주간보호보은읍 교사삼산길 11, 2층043-544-28882022-10-13
31<NA>동행노인주간보호센터주간보호보은읍 보은로 237043-544-02372022-10-13