Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory71.6 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description전북특별자치도내 노인 복지관 현황 데이터입니다.(시군, 복지관명, 소재지, 운영주체, 설립일, 면적, 관장명 및 전화번호 등)
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055608/fileData.do

Alerts

연번 has unique valuesUnique
복지관명 has unique valuesUnique
소재지 has unique valuesUnique
면적(제곱미터) has unique valuesUnique
관장명 및 전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:19:56.794737
Analysis finished2024-03-14 14:19:58.831406
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T23:19:59.012240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-14T23:19:59.381082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

시군
Text

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T23:19:59.944052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1304348
Min length1

Characters and Unicode

Total characters72
Distinct characters24
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

Unique8 ?
Unique (%)34.8%

Sample

1st row도
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시
ValueCountFrequency (%)
전주시 6
26.1%
익산시 3
13.0%
군산시 2
 
8.7%
정읍시 2
 
8.7%
임실군 2
 
8.7%
도 1
 
4.3%
남원시 1
 
4.3%
김제시 1
 
4.3%
진안군 1
 
4.3%
무주군 1
 
4.3%
Other values (3) 3
13.0%
2024-03-14T23:20:00.911441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 15
20.8%
군 9
12.5%
주 7
9.7%
전 6
 
8.3%
산 5
 
6.9%
5
 
6.9%
익 3
 
4.2%
임 2
 
2.8%
실 2
 
2.8%
읍 2
 
2.8%
Other values (14) 16
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
93.1%
Space Separator 5
 
6.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 15
22.4%
군 9
13.4%
주 7
10.4%
전 6
 
9.0%
산 5
 
7.5%
익 3
 
4.5%
임 2
 
3.0%
실 2
 
3.0%
읍 2
 
3.0%
안 2
 
3.0%
Other values (13) 14
20.9%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
93.1%
Common 5
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 15
22.4%
군 9
13.4%
주 7
10.4%
전 6
 
9.0%
산 5
 
7.5%
익 3
 
4.5%
임 2
 
3.0%
실 2
 
3.0%
읍 2
 
3.0%
안 2
 
3.0%
Other values (13) 14
20.9%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
93.1%
ASCII 5
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 15
22.4%
군 9
13.4%
주 7
10.4%
전 6
 
9.0%
산 5
 
7.5%
익 3
 
4.5%
임 2
 
3.0%
실 2
 
3.0%
읍 2
 
3.0%
안 2
 
3.0%
Other values (13) 14
20.9%
ASCII
ValueCountFrequency (%)
5
100.0%

복지관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T23:20:01.764100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.4782609
Min length7

Characters and Unicode

Total characters195
Distinct characters50
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row전라북도노인복지관
2nd row안골노인복지관
3rd row금암노인복지관
4th row서원노인복지관
5th row덕진노인복지관
ValueCountFrequency (%)
전라북도노인복지관 1
 
4.2%
안골노인복지관 1
 
4.2%
고창군노인복지관 1
 
4.2%
노인복지관 1
 
4.2%
북부권 1
 
4.2%
임실군노인복지관 1
 
4.2%
노인·장애인복지관 1
 
4.2%
무주노인종합복지관 1
 
4.2%
진안군복합노인복지타운 1
 
4.2%
김제노인종합복지관 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T23:20:02.984080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 24
12.3%
지 24
12.3%
인 23
11.8%
관 22
11.3%
노 22
11.3%
합 7
 
3.6%
종 6
 
3.1%
군 5
 
2.6%
부 4
 
2.1%
시 4
 
2.1%
Other values (40) 54
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
99.0%
Other Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 24
12.4%
지 24
12.4%
인 23
11.9%
관 22
11.4%
노 22
11.4%
합 7
 
3.6%
종 6
 
3.1%
군 5
 
2.6%
부 4
 
2.1%
시 4
 
2.1%
Other values (38) 52
26.9%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 24
12.4%
지 24
12.4%
인 23
11.9%
관 22
11.4%
노 22
11.4%
합 7
 
3.6%
종 6
 
3.1%
군 5
 
2.6%
부 4
 
2.1%
시 4
 
2.1%
Other values (38) 52
26.9%
Common
ValueCountFrequency (%)
· 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
99.0%
None 1
 
0.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 24
12.4%
지 24
12.4%
인 23
11.9%
관 22
11.4%
노 22
11.4%
합 7
 
3.6%
종 6
 
3.1%
군 5
 
2.6%
부 4
 
2.1%
시 4
 
2.1%
Other values (38) 52
26.9%
None
ValueCountFrequency (%)
· 1
100.0%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T23:20:03.780704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.217391
Min length6

Characters and Unicode

Total characters235
Distinct characters77
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

Unique23 ?
Unique (%)100.0%

Sample

1st row완산구 감나무4길29
2nd row덕진구 안골1길 11
3rd row덕진구 삼송5길 12
4th row완산구 따박골5길 36
5th row덕진구송천중앙로 36
ValueCountFrequency (%)
완산구 4
 
6.9%
덕진구 2
 
3.4%
36 2
 
3.4%
노하3길 1
 
1.7%
50 1
 
1.7%
하동1길 1
 
1.7%
79 1
 
1.7%
진안읍 1
 
1.7%
마이산로 1
 
1.7%
76 1
 
1.7%
Other values (43) 43
74.1%
2024-03-14T23:20:04.959886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
14.9%
1 14
 
6.0%
길 11
 
4.7%
로 11
 
4.7%
2 11
 
4.7%
5 9
 
3.8%
4 8
 
3.4%
3 8
 
3.4%
읍 7
 
3.0%
구 7
 
3.0%
Other values (67) 114
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
54.9%
Decimal Number 68
28.9%
Space Separator 35
 
14.9%
Dash Punctuation 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 11
 
8.5%
로 11
 
8.5%
읍 7
 
5.4%
구 7
 
5.4%
산 6
 
4.7%
진 4
 
3.1%
완 4
 
3.1%
동 3
 
2.3%
안 3
 
2.3%
덕 3
 
2.3%
Other values (55) 70
54.3%
Decimal Number
ValueCountFrequency (%)
1 14
20.6%
2 11
16.2%
5 9
13.2%
4 8
11.8%
3 8
11.8%
6 5
 
7.4%
0 4
 
5.9%
7 4
 
5.9%
9 3
 
4.4%
8 2
 
2.9%
Space Separator
ValueCountFrequency (%)
35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
54.9%
Common 106
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 11
 
8.5%
로 11
 
8.5%
읍 7
 
5.4%
구 7
 
5.4%
산 6
 
4.7%
진 4
 
3.1%
완 4
 
3.1%
동 3
 
2.3%
안 3
 
2.3%
덕 3
 
2.3%
Other values (55) 70
54.3%
Common
ValueCountFrequency (%)
35
33.0%
1 14
 
13.2%
2 11
 
10.4%
5 9
 
8.5%
4 8
 
7.5%
3 8
 
7.5%
6 5
 
4.7%
0 4
 
3.8%
7 4
 
3.8%
- 3
 
2.8%
Other values (2) 5
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
54.9%
ASCII 106
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
33.0%
1 14
 
13.2%
2 11
 
10.4%
5 9
 
8.5%
4 8
 
7.5%
3 8
 
7.5%
6 5
 
4.7%
0 4
 
3.8%
7 4
 
3.8%
- 3
 
2.8%
Other values (2) 5
 
4.7%
Hangul
ValueCountFrequency (%)
길 11
 
8.5%
로 11
 
8.5%
읍 7
 
5.4%
구 7
 
5.4%
산 6
 
4.7%
진 4
 
3.1%
완 4
 
3.1%
동 3
 
2.3%
안 3
 
2.3%
덕 3
 
2.3%
Other values (55) 70
54.3%

운영주체
Text

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T23:20:05.687494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.9565217
Min length6

Characters and Unicode

Total characters206
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)56.5%

Sample

1st row대한노인회 전북연합회
2nd row사복) 중부복지재단
3rd row사단) 나누는사람들
4th row사복) 금산사복지원
5th row사단) 나누는사람들
ValueCountFrequency (%)
사복)삼동회 4
 
11.4%
사복 4
 
11.4%
유지재단 2
 
5.7%
익산시 2
 
5.7%
직영 2
 
5.7%
사단 2
 
5.7%
나누는사람들 2
 
5.7%
사복)전주가톨릭사회복지회 2
 
5.7%
전북연합회 1
 
2.9%
대한노인회 1
 
2.9%
Other values (13) 13
37.1%
2024-03-14T23:20:06.831536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 23
 
11.2%
복 22
 
10.7%
) 18
 
8.7%
13
 
6.3%
단 13
 
6.3%
회 12
 
5.8%
재 10
 
4.9%
지 9
 
4.4%
삼 6
 
2.9%
대 4
 
1.9%
Other values (45) 76
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
85.0%
Close Punctuation 18
 
8.7%
Space Separator 13
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 23
 
13.1%
복 22
 
12.6%
단 13
 
7.4%
회 12
 
6.9%
재 10
 
5.7%
지 9
 
5.1%
삼 6
 
3.4%
대 4
 
2.3%
산 4
 
2.3%
동 4
 
2.3%
Other values (43) 68
38.9%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
85.0%
Common 31
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 23
 
13.1%
복 22
 
12.6%
단 13
 
7.4%
회 12
 
6.9%
재 10
 
5.7%
지 9
 
5.1%
삼 6
 
3.4%
대 4
 
2.3%
산 4
 
2.3%
동 4
 
2.3%
Other values (43) 68
38.9%
Common
ValueCountFrequency (%)
) 18
58.1%
13
41.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
85.0%
ASCII 31
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 23
 
13.1%
복 22
 
12.6%
단 13
 
7.4%
회 12
 
6.9%
재 10
 
5.7%
지 9
 
5.1%
삼 6
 
3.4%
대 4
 
2.3%
산 4
 
2.3%
동 4
 
2.3%
Other values (43) 68
38.9%
ASCII
ValueCountFrequency (%)
) 18
58.1%
13
41.9%

설립일
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum1994-12-03 00:00:00
Maximum2020-05-01 00:00:00
2024-03-14T23:20:07.202368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:07.606193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2064.6957
Minimum443
Maximum4670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T23:20:07.988664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443
5-th percentile588.5
Q11271
median1728
Q32864
95-th percentile3585.4
Maximum4670
Range4227
Interquartile range (IQR)1593

Descriptive statistics

Standard deviation1121.3389
Coefficient of variation (CV)0.54310129
Kurtosis-0.44387072
Mean2064.6957
Median Absolute Deviation (MAD)919
Skewness0.52788186
Sum47488
Variance1257400.9
MonotonicityNot monotonic
2024-03-14T23:20:08.341619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1728 1
 
4.3%
1650 1
 
4.3%
833 1
 
4.3%
1404 1
 
4.3%
564 1
 
4.3%
1220 1
 
4.3%
1761 1
 
4.3%
1055 1
 
4.3%
3603 1
 
4.3%
1718 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
443 1
4.3%
564 1
4.3%
809 1
4.3%
833 1
4.3%
1055 1
4.3%
1220 1
4.3%
1322 1
4.3%
1404 1
4.3%
1521 1
4.3%
1650 1
4.3%
ValueCountFrequency (%)
4670 1
4.3%
3603 1
4.3%
3427 1
4.3%
3291 1
4.3%
3279 1
4.3%
2867 1
4.3%
2861 1
4.3%
2759 1
4.3%
2712 1
4.3%
1991 1
4.3%

관장명 및 전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-14T23:20:09.306056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length12.434783
Min length3

Characters and Unicode

Total characters286
Distinct characters48
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

Unique23 ?
Unique (%)100.0%

Sample

1st row최*기
2nd row박*종
3rd row서*열(협회장)
4th row조*자
5th row하*주
ValueCountFrequency (%)
한*수 2
 
5.3%
최*기 1
 
2.6%
063-322-1252 1
 
2.6%
063-625-9988 1
 
2.6%
노*보 1
 
2.6%
063-542-5550 1
 
2.6%
장*원 1
 
2.6%
063-430-2747 1
 
2.6%
이*재 1
 
2.6%
김 1
 
2.6%
Other values (27) 27
71.1%
2024-03-14T23:20:10.500604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 34
11.9%
0 30
10.5%
3 30
10.5%
6 24
 
8.4%
* 21
 
7.3%
2 19
 
6.6%
4 17
 
5.9%
15
 
5.2%
5 14
 
4.9%
8 11
 
3.8%
Other values (38) 71
24.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 170
59.4%
Other Letter 44
 
15.4%
Dash Punctuation 34
 
11.9%
Other Punctuation 21
 
7.3%
Space Separator 15
 
5.2%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 3
 
6.8%
박 3
 
6.8%
김 2
 
4.5%
한 2
 
4.5%
최 2
 
4.5%
서 2
 
4.5%
기 2
 
4.5%
조 2
 
4.5%
장 2
 
4.5%
종 1
 
2.3%
Other values (23) 23
52.3%
Decimal Number
ValueCountFrequency (%)
0 30
17.6%
3 30
17.6%
6 24
14.1%
2 19
11.2%
4 17
10.0%
5 14
8.2%
8 11
 
6.5%
7 11
 
6.5%
9 9
 
5.3%
1 5
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
* 21
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 242
84.6%
Hangul 44
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 3
 
6.8%
박 3
 
6.8%
김 2
 
4.5%
한 2
 
4.5%
최 2
 
4.5%
서 2
 
4.5%
기 2
 
4.5%
조 2
 
4.5%
장 2
 
4.5%
종 1
 
2.3%
Other values (23) 23
52.3%
Common
ValueCountFrequency (%)
- 34
14.0%
0 30
12.4%
3 30
12.4%
6 24
9.9%
* 21
8.7%
2 19
7.9%
4 17
7.0%
15
6.2%
5 14
5.8%
8 11
 
4.5%
Other values (5) 27
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242
84.6%
Hangul 44
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 34
14.0%
0 30
12.4%
3 30
12.4%
6 24
9.9%
* 21
8.7%
2 19
7.9%
4 17
7.0%
15
6.2%
5 14
5.8%
8 11
 
4.5%
Other values (5) 27
11.2%
Hangul
ValueCountFrequency (%)
수 3
 
6.8%
박 3
 
6.8%
김 2
 
4.5%
한 2
 
4.5%
최 2
 
4.5%
서 2
 
4.5%
기 2
 
4.5%
조 2
 
4.5%
장 2
 
4.5%
종 1
 
2.3%
Other values (23) 23
52.3%

Interactions

2024-03-14T23:19:57.706162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:19:57.251606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:19:57.932967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:19:57.481482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:20:10.768916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군복지관명소재지운영주체설립일면적(제곱미터)관장명 및 전화번호
연번1.0000.8661.0001.0000.2650.9250.2611.000
시군0.8661.0001.0001.0000.8651.0000.0001.000
복지관명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
운영주체0.2650.8651.0001.0001.0001.0000.5201.000
설립일0.9251.0001.0001.0001.0001.0000.8621.000
면적(제곱미터)0.2610.0001.0001.0000.5200.8621.0001.000
관장명 및 전화번호1.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T23:20:11.050273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.000-0.360
면적(제곱미터)-0.3601.000

Missing values

2024-03-14T23:19:58.249325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:19:58.669167image/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

연번시군복지관명소재지운영주체설립일면적(제곱미터)관장명 및 전화번호
01도전라북도노인복지관완산구 감나무4길29대한노인회 전북연합회1997-04-131728최*기
12전주시안골노인복지관덕진구 안골1길 11사복) 중부복지재단1994-12-031650박*종
23전주시금암노인복지관덕진구 삼송5길 12사단) 나누는사람들2001-06-21809서*열(협회장)
34전주시서원노인복지관완산구 따박골5길 36사복) 금산사복지원2002-01-013279조*자
45전주시덕진노인복지관덕진구송천중앙로 36사단) 나누는사람들2007-03-252712하*주
56전주시양지노인복지관완산구 성지산로 55사복) 삼육재단2008-05-133291조*정
67전주시꽃밭정이노인복지관완산구 평화14길 27-53사복)이랜드2010-02-024670권*안 063-237-0770
78군산시군산노인종합복지관둔배미길 29사복)삼동회2000-10-093427신*호 063-442-4227
89군산시금강노인복지관백릉로 245군장대학교 산학협력단2014-01-091991박*수 063-442-0012
910익산시익산시노인종합복지관동서로 103사복) 신광복지재단2005-06-082759김*기 063-837-7722
연번시군복지관명소재지운영주체설립일면적(제곱미터)관장명 및 전화번호
1314정읍시정읍시북부노인복지관신태인읍신태인중앙로40재단)대한성공회 유지재단2009-03-301521유*희 063-571-9051
1415남원시남원시노인복지관금동로 50사복)전주가톨릭사회복지회2012-07-262861서*승 063-625-9988
1516김제시김제노인종합복지관하동1길 79대한성공회 유지재단2008-07-171718노*보 063-542-5550
1617진안군진안군복합노인복지타운진안읍 마이산로 76사복)전주가톨릭사회복지회2008-12-043603장*원 063-430-2747
1718무주군무주노인종합복지관무주읍 한풍루로 425사복)삼동회2005-12-091055이*재 063-322-1252
1819장수군노인·장애인복지관장수읍 노하3길 16사복)자광재단2010-11-151761김* 063-353-8286
1920임실군임실군노인복지관임실읍운수로 33-46사복)삼동회2011-11-011220한*수 063-644-4438
2021임실군북부권 노인복지관관촌면 사선1길 24사복)삼동회2011-11-01564한*수 063-642-3844
2122고창군고창군노인복지관고창읍 율계리 114-2사복)선운사복지재단2008-01-011404손*석 063-563-0009
2223부안군부안군실버복지관부안읍 석정로 250사복)한기장복지재단2020-05-01833박*성 063-581-2240