Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory59.9 B

Variable types

Categorical3
Text4

Dataset

Description노인복지시설유형, 시설명, 주소, 전화번호
Author전라북도 김제시
URLhttps://www.data.go.kr/data/3077889/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
시 설 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:00:20.440962
Analysis finished2023-12-12 03:00:20.976202
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
전라북도
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 34
100.0%

Length

2023-12-12T12:00:21.066186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:00:21.192072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 34
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
김제시
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 김제시
2nd row 김제시
3rd row 김제시
4th row 김제시
5th row 김제시

Common Values

ValueCountFrequency (%)
김제시 34
100.0%

Length

2023-12-12T12:00:21.322770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:00:21.420218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김제시 34
100.0%

시설유형
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
노인의료복지시설
20 
재가노인복지시설
9 
노인주거복지시설
5 

Length

Max length10
Median length8
Mean length8.2941176
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 노인주거복지시설
2nd row 노인주거복지시설
3rd row 노인주거복지시설
4th row 노인주거복지시설
5th row 노인주거복지시설

Common Values

ValueCountFrequency (%)
노인의료복지시설 20
58.8%
재가노인복지시설 9
26.5%
노인주거복지시설 5
 
14.7%

Length

2023-12-12T12:00:21.542062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:00:21.681821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인의료복지시설 20
58.8%
재가노인복지시설 9
26.5%
노인주거복지시설 5
 
14.7%

시 설 명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T12:00:21.902396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.8235294
Min length3

Characters and Unicode

Total characters232
Distinct characters76
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row애린양로원
2nd row시온양로원
3rd row한울양로원
4th row벧엘양로원
5th row사랑원
ValueCountFrequency (%)
애린양로원 1
 
2.8%
대덕요양원 1
 
2.8%
다솜마루 1
 
2.8%
벧엘노인복지센터 1
 
2.8%
예인재가노인복지센터 1
 
2.8%
김제성공회재가복지센터 1
 
2.8%
금산노인복지센터 1
 
2.8%
김제은혜원노인복지센터 1
 
2.8%
김제노인전문요양원주간센터 1
 
2.8%
시온양로원 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T12:00:22.302430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 20
 
8.6%
양 17
 
7.3%
요 13
 
5.6%
인 13
 
5.6%
노 11
 
4.7%
지 10
 
4.3%
복 10
 
4.3%
센 9
 
3.9%
터 9
 
3.9%
제 7
 
3.0%
Other values (66) 113
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
99.1%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 20
 
8.7%
양 17
 
7.4%
요 13
 
5.7%
인 13
 
5.7%
노 11
 
4.8%
지 10
 
4.3%
복 10
 
4.3%
센 9
 
3.9%
터 9
 
3.9%
제 7
 
3.0%
Other values (65) 111
48.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
99.1%
Common 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 20
 
8.7%
양 17
 
7.4%
요 13
 
5.7%
인 13
 
5.7%
노 11
 
4.8%
지 10
 
4.3%
복 10
 
4.3%
센 9
 
3.9%
터 9
 
3.9%
제 7
 
3.0%
Other values (65) 111
48.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
99.1%
ASCII 2
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 20
 
8.7%
양 17
 
7.4%
요 13
 
5.7%
인 13
 
5.7%
노 11
 
4.8%
지 10
 
4.3%
복 10
 
4.3%
센 9
 
3.9%
터 9
 
3.9%
제 7
 
3.0%
Other values (65) 111
48.3%
ASCII
ValueCountFrequency (%)
2
100.0%

대 표 자
Text

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T12:00:22.517460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters55
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

Unique22 ?
Unique (%)64.7%

Sample

1st row한규택
2nd row강옥선
3rd row김정섭
4th row최영구
5th row정영주
ValueCountFrequency (%)
강대환 2
 
5.9%
김성우 2
 
5.9%
김선자 2
 
5.9%
강옥선 2
 
5.9%
노기보 2
 
5.9%
김용덕 2
 
5.9%
한규택 1
 
2.9%
장순주 1
 
2.9%
손인락 1
 
2.9%
이춘자 1
 
2.9%
Other values (18) 18
52.9%
2023-12-12T12:00:22.895362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
8.8%
강 5
 
4.9%
선 4
 
3.9%
순 4
 
3.9%
정 4
 
3.9%
자 4
 
3.9%
옥 3
 
2.9%
한 3
 
2.9%
우 2
 
2.0%
최 2
 
2.0%
Other values (45) 62
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
8.8%
강 5
 
4.9%
선 4
 
3.9%
순 4
 
3.9%
정 4
 
3.9%
자 4
 
3.9%
옥 3
 
2.9%
한 3
 
2.9%
우 2
 
2.0%
최 2
 
2.0%
Other values (45) 62
60.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
8.8%
강 5
 
4.9%
선 4
 
3.9%
순 4
 
3.9%
정 4
 
3.9%
자 4
 
3.9%
옥 3
 
2.9%
한 3
 
2.9%
우 2
 
2.0%
최 2
 
2.0%
Other values (45) 62
60.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
8.8%
강 5
 
4.9%
선 4
 
3.9%
순 4
 
3.9%
정 4
 
3.9%
자 4
 
3.9%
옥 3
 
2.9%
한 3
 
2.9%
우 2
 
2.0%
최 2
 
2.0%
Other values (45) 62
60.8%

주 소
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T12:00:23.168040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.911765
Min length16

Characters and Unicode

Total characters711
Distinct characters75
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

Unique24 ?
Unique (%)70.6%

Sample

1st row전라북도 김제시 용지면 반교1길 29
2nd row전라북도 김제시 청하면 강변로 13
3rd row전라북도 김제시 죽산면 죽산로 370-12, 1층
4th row전라북도 김제시 성덕면 성덕2길 47-10
5th row전라북도 김제시 금구면 월전1길 14
ValueCountFrequency (%)
전라북도 34
20.1%
김제시 34
20.1%
성덕면 4
 
2.4%
죽산면 4
 
2.4%
성덕2길 3
 
1.8%
봉남면 3
 
1.8%
입석로 3
 
1.8%
142 3
 
1.8%
백구면 2
 
1.2%
진봉면 2
 
1.2%
Other values (61) 77
45.6%
2023-12-12T12:00:23.669794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
19.0%
전 35
 
4.9%
김 34
 
4.8%
시 34
 
4.8%
제 34
 
4.8%
라 34
 
4.8%
도 34
 
4.8%
북 34
 
4.8%
1 25
 
3.5%
면 24
 
3.4%
Other values (65) 288
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
61.2%
Space Separator 135
 
19.0%
Decimal Number 119
 
16.7%
Dash Punctuation 11
 
1.5%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 35
 
8.0%
김 34
 
7.8%
시 34
 
7.8%
제 34
 
7.8%
라 34
 
7.8%
도 34
 
7.8%
북 34
 
7.8%
면 24
 
5.5%
길 24
 
5.5%
산 15
 
3.4%
Other values (50) 133
30.6%
Decimal Number
ValueCountFrequency (%)
1 25
21.0%
2 22
18.5%
3 15
12.6%
4 13
10.9%
7 10
 
8.4%
9 9
 
7.6%
6 8
 
6.7%
5 6
 
5.0%
8 6
 
5.0%
0 5
 
4.2%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
61.2%
Common 276
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 35
 
8.0%
김 34
 
7.8%
시 34
 
7.8%
제 34
 
7.8%
라 34
 
7.8%
도 34
 
7.8%
북 34
 
7.8%
면 24
 
5.5%
길 24
 
5.5%
산 15
 
3.4%
Other values (50) 133
30.6%
Common
ValueCountFrequency (%)
135
48.9%
1 25
 
9.1%
2 22
 
8.0%
3 15
 
5.4%
4 13
 
4.7%
- 11
 
4.0%
7 10
 
3.6%
9 9
 
3.3%
6 8
 
2.9%
5 6
 
2.2%
Other values (5) 22
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
61.2%
ASCII 276
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
48.9%
1 25
 
9.1%
2 22
 
8.0%
3 15
 
5.4%
4 13
 
4.7%
- 11
 
4.0%
7 10
 
3.6%
9 9
 
3.3%
6 8
 
2.9%
5 6
 
2.2%
Other values (5) 22
 
8.0%
Hangul
ValueCountFrequency (%)
전 35
 
8.0%
김 34
 
7.8%
시 34
 
7.8%
제 34
 
7.8%
라 34
 
7.8%
도 34
 
7.8%
북 34
 
7.8%
면 24
 
5.5%
길 24
 
5.5%
산 15
 
3.4%
Other values (50) 133
30.6%

연 락 처
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T12:00:23.936573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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 (%)82.4%

Sample

1st row063-542-9351
2nd row063-543-2567
3rd row063-546-2998
4th row063-545-8475
5th row063-547-5841
ValueCountFrequency (%)
063-544-4342 2
 
5.9%
063-546-6868 2
 
5.9%
063-542-0103 2
 
5.9%
063-542-9351 1
 
2.9%
063-547-7771 1
 
2.9%
063-542-1187 1
 
2.9%
063-542-5667 1
 
2.9%
063-546-3118 1
 
2.9%
063-545-1005 1
 
2.9%
063-548-7005 1
 
2.9%
Other values (21) 21
61.8%
2023-12-12T12:00:24.363010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
0 58
14.2%
5 56
13.7%
6 52
12.7%
3 50
12.3%
4 45
11.0%
1 21
 
5.1%
2 18
 
4.4%
7 15
 
3.7%
9 14
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
17.1%
5 56
16.5%
6 52
15.3%
3 50
14.7%
4 45
13.2%
1 21
 
6.2%
2 18
 
5.3%
7 15
 
4.4%
9 14
 
4.1%
8 11
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
0 58
14.2%
5 56
13.7%
6 52
12.7%
3 50
12.3%
4 45
11.0%
1 21
 
5.1%
2 18
 
4.4%
7 15
 
3.7%
9 14
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
0 58
14.2%
5 56
13.7%
6 52
12.7%
3 50
12.3%
4 45
11.0%
1 21
 
5.1%
2 18
 
4.4%
7 15
 
3.7%
9 14
 
3.4%

Correlations

2023-12-12T12:00:24.485557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시 설 명대 표 자주 소연 락 처
시설유형1.0001.0000.0000.5000.000
시 설 명1.0001.0001.0001.0001.000
대 표 자0.0001.0001.0000.9941.000
주 소0.5001.0000.9941.0001.000
연 락 처0.0001.0001.0001.0001.000

Missing values

2023-12-12T12:00:20.780386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:00:20.920802image/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

시도명시군명시설유형시 설 명대 표 자주 소연 락 처
0전라북도김제시노인주거복지시설애린양로원한규택전라북도 김제시 용지면 반교1길 29063-542-9351
1전라북도김제시노인주거복지시설시온양로원강옥선전라북도 김제시 청하면 강변로 13063-543-2567
2전라북도김제시노인주거복지시설한울양로원김정섭전라북도 김제시 죽산면 죽산로 370-12, 1층063-546-2998
3전라북도김제시노인주거복지시설벧엘양로원최영구전라북도 김제시 성덕면 성덕2길 47-10063-545-8475
4전라북도김제시노인주거복지시설사랑원정영주전라북도 김제시 금구면 월전1길 14063-547-5841
5전라북도김제시노인의료복지시설한우리노인요양원박강열전라북도 김제시 두월6길 35 (검산동)063-543-0191
6전라북도김제시노인의료복지시설지평선요양원조점옥전라북도 김제시 서낭당길 121-5 (요촌동)063-542-2200
7전라북도김제시노인의료복지시설벧엘요양원김용덕전라북도 김제시 성덕면 성덕2길 47-7063-545-0675
8전라북도김제시노인의료복지시설새소망요양원최현자전라북도 김제시 백구면 유강8길 26063-543-3221
9전라북도김제시노인의료복지시설대덕요양원국민수전라북도 김제시 진봉면 대덕4길 42063-548-7200
시도명시군명시설유형시 설 명대 표 자주 소연 락 처
24전라북도김제시노인의료복지시설성암마루고미순전라북도 김제시 입석로 142 (입석동)063-544-1005
25전라북도김제시재가노인복지시설김제노인복지센터박경란전라북도 김제시 백산면 소음방 2길 19-29063-548-7005
26전라북도김제시재가노인복지시설성암노인복지센터이춘자전라북도 김제시 입석로 142063-545-1005
27전라북도김제시재가노인복지시설김제노인전문요양원주간센터노기보전라북도 김제시 하동1길 79063-546-3118
28전라북도김제시재가노인복지시설김제은혜원노인복지센터김성우전라북도 김제시 죽산면 죽산2길 38063-546-6868
29전라북도김제시재가노인복지시설금산노인복지센터손인락전라북도 김제시 금산면 원평8길 29-36063-542-5667
30전라북도김제시재가노인복지시설김제성공회재가복지센터이석규전라북도 김제시 중앙1길 34063-542-1187
31전라북도김제시재가노인복지시설예인재가노인복지센터김선자전라북도 김제시 만경읍 대동1길 56063-542-0103
32전라북도김제시재가노인복지시설벧엘노인복지센터김용덕전라북도 김제시 성덕면 성덕2길 47-7063-545-0069
33전라북도김제시재가노인복지시설가정재가복지센터강대환전라북도 김제시 봉남면 대송로 204063-544-4342