Overview

Dataset statistics

Number of variables11
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory95.3 B

Variable types

Categorical5
Text5
DateTime1

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
시군명 is highly overall correlated with 갱신주기High correlation
갱신주기 is highly overall correlated with 시군명High correlation
갱신주기 is highly imbalanced (72.4%)Imbalance
시설명 has unique valuesUnique
시설장 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:25:21.243372
Analysis finished2024-03-14 00:25:21.870157
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
익산시
5 
완주군
4 
전주시
4 
정읍시
2 
부안군
1 
Other values (5)
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique6 ?
Unique (%)28.6%

Sample

1st row완주군
2nd row완주군
3rd row완주군
4th row완주군
5th row익산시

Common Values

ValueCountFrequency (%)
익산시 5
23.8%
완주군 4
19.0%
전주시 4
19.0%
정읍시 2
 
9.5%
부안군 1
 
4.8%
무주군 1
 
4.8%
김제시 1
 
4.8%
군산시 1
 
4.8%
장수군 1
 
4.8%
임실군 1
 
4.8%

Length

2024-03-14T09:25:21.923686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:25:22.040836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
익산시 5
23.8%
완주군 4
19.0%
전주시 4
19.0%
정읍시 2
 
9.5%
부안군 1
 
4.8%
무주군 1
 
4.8%
김제시 1
 
4.8%
군산시 1
 
4.8%
장수군 1
 
4.8%
임실군 1
 
4.8%

시설명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T09:25:22.215542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.1428571
Min length4

Characters and Unicode

Total characters192
Distinct characters81
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row완주떡메마을(근로사업장)
2nd row행복한집
3rd row희망발전소1호점
4th row희망발전소2호점
5th row전라북도 장애인생산품판매시설
ValueCountFrequency (%)
작업장 4
 
11.8%
보호작업장 3
 
8.8%
완주떡메마을(근로사업장 1
 
2.9%
장애인보호 1
 
2.9%
장수군 1
 
2.9%
자립작업장 1
 
2.9%
추진장애인 1
 
2.9%
더불어삶 1
 
2.9%
기린보호 1
 
2.9%
자립장 1
 
2.9%
Other values (19) 19
55.9%
2024-03-14T09:25:22.499798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 22
 
11.5%
13
 
6.8%
업 11
 
5.7%
호 9
 
4.7%
작 9
 
4.7%
보 8
 
4.2%
애 8
 
4.2%
자 7
 
3.6%
인 7
 
3.6%
립 4
 
2.1%
Other values (71) 94
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
90.1%
Space Separator 13
 
6.8%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Decimal Number 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 22
 
12.7%
업 11
 
6.4%
호 9
 
5.2%
작 9
 
5.2%
보 8
 
4.6%
애 8
 
4.6%
자 7
 
4.0%
인 7
 
4.0%
립 4
 
2.3%
전 4
 
2.3%
Other values (66) 84
48.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
90.1%
Common 19
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 22
 
12.7%
업 11
 
6.4%
호 9
 
5.2%
작 9
 
5.2%
보 8
 
4.6%
애 8
 
4.6%
자 7
 
4.0%
인 7
 
4.0%
립 4
 
2.3%
전 4
 
2.3%
Other values (66) 84
48.6%
Common
ValueCountFrequency (%)
13
68.4%
( 2
 
10.5%
) 2
 
10.5%
1 1
 
5.3%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
90.1%
ASCII 19
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 22
 
12.7%
업 11
 
6.4%
호 9
 
5.2%
작 9
 
5.2%
보 8
 
4.6%
애 8
 
4.6%
자 7
 
4.0%
인 7
 
4.0%
립 4
 
2.3%
전 4
 
2.3%
Other values (66) 84
48.6%
ASCII
ValueCountFrequency (%)
13
68.4%
( 2
 
10.5%
) 2
 
10.5%
1 1
 
5.3%
2 1
 
5.3%

시설신고일
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1990-01-03 00:00:00
Maximum2017-05-31 00:00:00
2024-03-14T09:25:22.607160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:25:22.706176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

시설장
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T09:25:22.862945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters43
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

Unique21 ?
Unique (%)100.0%

Sample

1st row양정숙
2nd row차순철
3rd row박상진
4th row조병길
5th row김세영
ValueCountFrequency (%)
양정숙 1
 
4.8%
박재현 1
 
4.8%
김균수 1
 
4.8%
진숙선 1
 
4.8%
김관무 1
 
4.8%
최명호 1
 
4.8%
정진남 1
 
4.8%
강병은 1
 
4.8%
김성희 1
 
4.8%
서옥지 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T09:25:23.128227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 4
 
6.3%
선 3
 
4.8%
옥 3
 
4.8%
순 3
 
4.8%
진 3
 
4.8%
정 2
 
3.2%
최 2
 
3.2%
남 2
 
3.2%
병 2
 
3.2%
영 2
 
3.2%
Other values (33) 37
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 4
 
6.3%
선 3
 
4.8%
옥 3
 
4.8%
순 3
 
4.8%
진 3
 
4.8%
정 2
 
3.2%
최 2
 
3.2%
남 2
 
3.2%
병 2
 
3.2%
영 2
 
3.2%
Other values (33) 37
58.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 4
 
6.3%
선 3
 
4.8%
옥 3
 
4.8%
순 3
 
4.8%
진 3
 
4.8%
정 2
 
3.2%
최 2
 
3.2%
남 2
 
3.2%
병 2
 
3.2%
영 2
 
3.2%
Other values (33) 37
58.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 4
 
6.3%
선 3
 
4.8%
옥 3
 
4.8%
순 3
 
4.8%
진 3
 
4.8%
정 2
 
3.2%
최 2
 
3.2%
남 2
 
3.2%
병 2
 
3.2%
영 2
 
3.2%
Other values (33) 37
58.7%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T09:25:23.317401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length14.714286
Min length10

Characters and Unicode

Total characters309
Distinct characters78
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

Unique21 ?
Unique (%)100.0%

Sample

1st row완주군 봉동읍 삼봉로 920
2nd row완주군 비봉면 대치로 369-2
3rd row완주군 봉동읍 낙평신월1길 16
4th row완주군 고산면 고산천로 654
5th row익산시 인북로 350
ValueCountFrequency (%)
익산시 5
 
6.3%
완주군 4
 
5.1%
전주시 4
 
5.1%
봉동읍 2
 
2.5%
52 2
 
2.5%
완산구 2
 
2.5%
천잠로 2
 
2.5%
덕진구 2
 
2.5%
정읍시 2
 
2.5%
42-7 1
 
1.3%
Other values (53) 53
67.1%
2024-03-14T09:25:23.621783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
18.8%
2 15
 
4.9%
시 13
 
4.2%
로 11
 
3.6%
주 10
 
3.2%
산 10
 
3.2%
길 10
 
3.2%
군 9
 
2.9%
7 8
 
2.6%
읍 8
 
2.6%
Other values (68) 157
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
57.6%
Decimal Number 66
 
21.4%
Space Separator 58
 
18.8%
Dash Punctuation 7
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 13
 
7.3%
로 11
 
6.2%
주 10
 
5.6%
산 10
 
5.6%
길 10
 
5.6%
군 9
 
5.1%
읍 8
 
4.5%
완 6
 
3.4%
익 5
 
2.8%
봉 5
 
2.8%
Other values (56) 91
51.1%
Decimal Number
ValueCountFrequency (%)
2 15
22.7%
7 8
12.1%
5 8
12.1%
1 7
10.6%
3 6
 
9.1%
4 6
 
9.1%
0 5
 
7.6%
6 5
 
7.6%
9 4
 
6.1%
8 2
 
3.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
57.6%
Common 131
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 13
 
7.3%
로 11
 
6.2%
주 10
 
5.6%
산 10
 
5.6%
길 10
 
5.6%
군 9
 
5.1%
읍 8
 
4.5%
완 6
 
3.4%
익 5
 
2.8%
봉 5
 
2.8%
Other values (56) 91
51.1%
Common
ValueCountFrequency (%)
58
44.3%
2 15
 
11.5%
7 8
 
6.1%
5 8
 
6.1%
1 7
 
5.3%
- 7
 
5.3%
3 6
 
4.6%
4 6
 
4.6%
0 5
 
3.8%
6 5
 
3.8%
Other values (2) 6
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
57.6%
ASCII 131
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
44.3%
2 15
 
11.5%
7 8
 
6.1%
5 8
 
6.1%
1 7
 
5.3%
- 7
 
5.3%
3 6
 
4.6%
4 6
 
4.6%
0 5
 
3.8%
6 5
 
3.8%
Other values (2) 6
 
4.6%
Hangul
ValueCountFrequency (%)
시 13
 
7.3%
로 11
 
6.2%
주 10
 
5.6%
산 10
 
5.6%
길 10
 
5.6%
군 9
 
5.1%
읍 8
 
4.5%
완 6
 
3.4%
익 5
 
2.8%
봉 5
 
2.8%
Other values (56) 91
51.1%

생산품
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T09:25:23.805156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.3809524
Min length1

Characters and Unicode

Total characters134
Distinct characters78
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row전통(웰빙)떡
2nd row식품제조(김치)
3rd row장갑,현수막
4th row조미김
5th row-
ValueCountFrequency (%)
임가공 4
 
13.8%
세탁업 2
 
6.9%
두부 2
 
6.9%
장갑,현수막 1
 
3.4%
물티슈 1
 
3.4%
새송이버섯 1
 
3.4%
등 1
 
3.4%
양말,조화 1
 
3.4%
생활도자기 1
 
3.4%
쇼핑백 1
 
3.4%
Other values (14) 14
48.3%
2024-03-14T09:25:24.121507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 12
 
9.0%
8
 
6.0%
임 5
 
3.7%
가 5
 
3.7%
공 5
 
3.7%
제 4
 
3.0%
조 4
 
3.0%
김 3
 
2.2%
부 3
 
2.2%
( 3
 
2.2%
Other values (68) 82
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
79.9%
Other Punctuation 12
 
9.0%
Space Separator 8
 
6.0%
Open Punctuation 3
 
2.2%
Close Punctuation 3
 
2.2%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 5
 
4.7%
가 5
 
4.7%
공 5
 
4.7%
제 4
 
3.7%
조 4
 
3.7%
김 3
 
2.8%
부 3
 
2.8%
기 3
 
2.8%
품 2
 
1.9%
화 2
 
1.9%
Other values (63) 71
66.4%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
79.9%
Common 27
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 5
 
4.7%
가 5
 
4.7%
공 5
 
4.7%
제 4
 
3.7%
조 4
 
3.7%
김 3
 
2.8%
부 3
 
2.8%
기 3
 
2.8%
품 2
 
1.9%
화 2
 
1.9%
Other values (63) 71
66.4%
Common
ValueCountFrequency (%)
, 12
44.4%
8
29.6%
( 3
 
11.1%
) 3
 
11.1%
- 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
79.9%
ASCII 27
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 12
44.4%
8
29.6%
( 3
 
11.1%
) 3
 
11.1%
- 1
 
3.7%
Hangul
ValueCountFrequency (%)
임 5
 
4.7%
가 5
 
4.7%
공 5
 
4.7%
제 4
 
3.7%
조 4
 
3.7%
김 3
 
2.8%
부 3
 
2.8%
기 3
 
2.8%
품 2
 
1.9%
화 2
 
1.9%
Other values (63) 71
66.4%

전화번호
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T09:25:24.283270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length17.52381
Min length12

Characters and Unicode

Total characters368
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row063-263-8242
2nd row063-263-0493(263-0494)
3rd row063-262-1601(262-0900)
4th row063-262-9115
5th row063-856-2646
ValueCountFrequency (%)
063-583-0035 2
 
9.5%
063-263-8242 1
 
4.8%
063-536-1453(536-1452 1
 
4.8%
063-452-0911(452-0912 1
 
4.8%
063-213-7660(225-7660 1
 
4.8%
063-244-6479(244-6478 1
 
4.8%
063-226-6589(224-4443 1
 
4.8%
063-227-9944(227-9947 1
 
4.8%
063-542-9500 1
 
4.8%
063-543-4743 1
 
4.8%
Other values (10) 10
47.6%
2024-03-14T09:25:24.559019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
14.7%
0 47
12.8%
3 44
12.0%
6 42
11.4%
2 36
9.8%
4 28
7.6%
5 24
6.5%
9 20
 
5.4%
7 20
 
5.4%
1 16
 
4.3%
Other values (3) 37
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 292
79.3%
Dash Punctuation 54
 
14.7%
Open Punctuation 11
 
3.0%
Close Punctuation 11
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
16.1%
3 44
15.1%
6 42
14.4%
2 36
12.3%
4 28
9.6%
5 24
8.2%
9 20
6.8%
7 20
6.8%
1 16
 
5.5%
8 15
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
14.7%
0 47
12.8%
3 44
12.0%
6 42
11.4%
2 36
9.8%
4 28
7.6%
5 24
6.5%
9 20
 
5.4%
7 20
 
5.4%
1 16
 
4.3%
Other values (3) 37
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
14.7%
0 47
12.8%
3 44
12.0%
6 42
11.4%
2 36
9.8%
4 28
7.6%
5 24
6.5%
9 20
 
5.4%
7 20
 
5.4%
1 16
 
4.3%
Other values (3) 37
10.1%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
노인장애인복지과
21 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인장애인복지과 21
100.0%

Length

2024-03-14T09:25:24.689052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:25:24.774580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 21
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
공개
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 21
100.0%

Length

2024-03-14T09:25:24.857970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:25:24.929527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 21
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2017.12
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017.12
2nd row2017.12
3rd row2017.12
4th row2017.12
5th row2017.12

Common Values

ValueCountFrequency (%)
2017.12 21
100.0%

Length

2024-03-14T09:25:25.009531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:25:25.095416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.12 21
100.0%

갱신주기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1년
20 
2년
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 20
95.2%
2년 1
 
4.8%

Length

2024-03-14T09:25:25.187049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:25:25.465712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 20
95.2%
2년 1
 
4.8%

Correlations

2024-03-14T09:25:25.516746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설명시설신고일시설장도로명주소생산품전화번호갱신주기
시군명1.0001.0001.0001.0001.0000.9080.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
시설신고일1.0001.0001.0001.0001.0000.9820.9821.000
시설장1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
생산품0.9081.0000.9821.0001.0001.0000.9920.000
전화번호0.0001.0000.9821.0001.0000.9921.0000.000
갱신주기1.0001.0001.0001.0001.0000.0000.0001.000
2024-03-14T09:25:25.604040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명갱신주기
시군명1.0000.761
갱신주기0.7611.000
2024-03-14T09:25:25.668010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명갱신주기
시군명1.0000.761
갱신주기0.7611.000

Missing values

2024-03-14T09:25:21.622259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:25:21.814743image/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

시군명시설명시설신고일시설장도로명주소생산품전화번호자료출처공개여부작성일갱신주기
0완주군완주떡메마을(근로사업장)2009-12-31양정숙완주군 봉동읍 삼봉로 920전통(웰빙)떡063-263-8242노인장애인복지과공개2017.121년
1완주군행복한집2006-12-29차순철완주군 비봉면 대치로 369-2식품제조(김치)063-263-0493(263-0494)노인장애인복지과공개2017.121년
2완주군희망발전소1호점2008-04-24박상진완주군 봉동읍 낙평신월1길 16장갑,현수막063-262-1601(262-0900)노인장애인복지과공개2017.121년
3완주군희망발전소2호점2012-04-25조병길완주군 고산면 고산천로 654조미김063-262-9115노인장애인복지과공개2017.121년
4익산시전라북도 장애인생산품판매시설2003-07-01김세영익산시 인북로 350-063-856-2646노인장애인복지과공개2017.121년
5익산시익산시장애인 보호작업장2013-02-25안근선익산시 약촌로 22세탁업, 임가공070-7008-7748(070-8784-0179)노인장애인복지과공개2017.121년
6익산시보성원 자활자립장2000-03-29이순옥익산시 서동로 46길 41안마서비스063-835-1752노인장애인복지과공개2017.121년
7익산시동그라미 플러스2000-03-29구형선익산시 쌍능길 135-7육포,서각,압화,열쇠063-831-7350(835-7350)노인장애인복지과공개2017.121년
8익산시해피드림2000-02-10최옥순익산시 덕기길 77제과제빵, 임가공063-836-2627(835-1920)노인장애인복지과공개2017.121년
9부안군바다의향기(근로사업장)2011-01-27조상완부안군 부안읍 봉두길 52김063-583-0035노인장애인복지과공개2017.121년
시군명시설명시설신고일시설장도로명주소생산품전화번호자료출처공개여부작성일갱신주기
11정읍시자애자립장2003-02-20박재현정읍시 고부면 만수길 52새송이버섯063-536-1453(536-1452)노인장애인복지과공개2017.121년
12정읍시만복보호 작업장2010-10-19서옥지정읍시 감곡면 금평로 26-59임가공(부품조립)063-543-4743노인장애인복지과공개2017.121년
13김제시김제시장애인 보호작업장2011-04-12김성희김제시 갈공길 28물티슈063-542-9500노인장애인복지과공개2017.121년
14전주시전북장애인 보호작업장1990-01-03강병은전주시 완산구 천잠로 277행정봉투, 쓰레기봉투063-227-9944(227-9947)노인장애인복지과공개2017.121년
15전주시동암자활 자립장2001-04-01정진남전주시 완산구 천잠로 275두부, 임가공063-226-6589(224-4443)노인장애인복지과공개2017.121년
16전주시기린보호 작업장2006-09-25최명호전주시 덕진구 무삼지2길 10-3복사용지, 쇼핑백063-244-6479(244-6478)노인장애인복지과공개2017.121년
17전주시더불어삶2017-04-10김관무전주시 덕진구 번영로 230-14생활도자기063-213-7660(225-7660)노인장애인복지과공개2017.121년
18군산시추진장애인 자립작업장2005-12-13진숙선군산시 대야면 동중길 42-7양말,조화 등063-452-0911(452-0912)노인장애인복지과공개2017.121년
19장수군장수군 장애인보호 작업장2013-07-01김균수장수군 장수읍 노하숲길 108-9옹기제작063-351-9919노인장애인복지과공개2017.121년
20임실군임실군장애인보호작업장2017-05-31권영준임실군 임실읍 이도리 372세탁업, 임가공063-583-0035노인장애인복지과공개2017.122년