Overview

Dataset statistics

Number of variables12
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory103.7 B

Variable types

Numeric1
Text5
DateTime1
Categorical5

Alerts

주요사업 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:05:12.456510
Analysis finished2024-03-14 01:05:13.060022
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
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 size339.0 B
2024-03-14T10:05:13.106094image/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
2024-03-14T10:05:13.192569image/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%

시군명
Text

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:05:13.324131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters20
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

Unique5 ?
Unique (%)21.7%

Sample

1st row전주시
2nd row전주시
3rd row군산시
4th row군산시
5th row익산시
ValueCountFrequency (%)
전주시 5
21.7%
군산시 3
13.0%
익산시 2
 
8.7%
정읍시 2
 
8.7%
남원시 2
 
8.7%
김제시 2
 
8.7%
완주군 2
 
8.7%
진안군 1
 
4.3%
무주군 1
 
4.3%
순창군 1
 
4.3%
Other values (2) 2
 
8.7%
2024-03-14T10:05:13.547329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 16
23.2%
군 10
14.5%
주 8
11.6%
전 5
 
7.2%
산 5
 
7.2%
창 2
 
2.9%
안 2
 
2.9%
완 2
 
2.9%
제 2
 
2.9%
김 2
 
2.9%
Other values (10) 15
21.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 16
23.2%
군 10
14.5%
주 8
11.6%
전 5
 
7.2%
산 5
 
7.2%
창 2
 
2.9%
안 2
 
2.9%
완 2
 
2.9%
제 2
 
2.9%
김 2
 
2.9%
Other values (10) 15
21.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 16
23.2%
군 10
14.5%
주 8
11.6%
전 5
 
7.2%
산 5
 
7.2%
창 2
 
2.9%
안 2
 
2.9%
완 2
 
2.9%
제 2
 
2.9%
김 2
 
2.9%
Other values (10) 15
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 16
23.2%
군 10
14.5%
주 8
11.6%
전 5
 
7.2%
산 5
 
7.2%
창 2
 
2.9%
안 2
 
2.9%
완 2
 
2.9%
제 2
 
2.9%
김 2
 
2.9%
Other values (10) 15
21.7%

기관명
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:05:13.719851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.217391
Min length6

Characters and Unicode

Total characters258
Distinct characters52
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

Unique21 ?
Unique (%)91.3%

Sample

1st row전북여성교육문화센터
2nd row전주여성인력개발센터
3rd row군산여성인력개발센터
4th row군산시여성교육장
5th row익산여성회관
ValueCountFrequency (%)
전북여성교육문화센터 2
 
8.7%
전주여성인력개발센터 1
 
4.3%
완주근로자종합복지관 1
 
4.3%
김제새일센터(김제시여성문화센터 1
 
4.3%
남원새일센터(남원시여성문화센터 1
 
4.3%
정읍새일센터(정읍시여성문화관 1
 
4.3%
익산새일센터(익산여성새일지원본부 1
 
4.3%
군산새일센터(군산여성인력개발센터 1
 
4.3%
전주새일센터(전주여성인력개발센터 1
 
4.3%
부안노인여성복지회관 1
 
4.3%
Other values (12) 12
52.2%
2024-03-14T10:05:14.037115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
여 20
 
7.8%
성 20
 
7.8%
센 19
 
7.4%
터 19
 
7.4%
관 9
 
3.5%
문 8
 
3.1%
화 8
 
3.1%
일 8
 
3.1%
( 7
 
2.7%
) 7
 
2.7%
Other values (42) 133
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
94.6%
Open Punctuation 7
 
2.7%
Close Punctuation 7
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 20
 
8.2%
성 20
 
8.2%
센 19
 
7.8%
터 19
 
7.8%
관 9
 
3.7%
문 8
 
3.3%
화 8
 
3.3%
일 8
 
3.3%
시 7
 
2.9%
산 7
 
2.9%
Other values (40) 119
48.8%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
94.6%
Common 14
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 20
 
8.2%
성 20
 
8.2%
센 19
 
7.8%
터 19
 
7.8%
관 9
 
3.7%
문 8
 
3.3%
화 8
 
3.3%
일 8
 
3.3%
시 7
 
2.9%
산 7
 
2.9%
Other values (40) 119
48.8%
Common
ValueCountFrequency (%)
( 7
50.0%
) 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
94.6%
ASCII 14
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
여 20
 
8.2%
성 20
 
8.2%
센 19
 
7.8%
터 19
 
7.8%
관 9
 
3.7%
문 8
 
3.3%
화 8
 
3.3%
일 8
 
3.3%
시 7
 
2.9%
산 7
 
2.9%
Other values (40) 119
48.8%
ASCII
ValueCountFrequency (%)
( 7
50.0%
) 7
50.0%

설립일
Date

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1983-05-18 00:00:00
Maximum2015-05-26 00:00:00
2024-03-14T10:05:14.143481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:14.252761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

대표자
Text

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:05:14.393156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters40
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

Unique12 ?
Unique (%)52.2%

Sample

1st row김보금
2nd row임경진
3rd row백지연
4th row차정희
5th row김인숙
ValueCountFrequency (%)
김보금 3
13.0%
박문용 2
 
8.7%
임경진 2
 
8.7%
백지연 2
 
8.7%
양동수 2
 
8.7%
김은희 1
 
4.3%
이선효 1
 
4.3%
양해완 1
 
4.3%
최경옥 1
 
4.3%
오영택 1
 
4.3%
Other values (7) 7
30.4%
2024-03-14T10:05:14.616689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
금 3
 
4.3%
양 3
 
4.3%
보 3
 
4.3%
임 3
 
4.3%
경 3
 
4.3%
백 2
 
2.9%
정 2
 
2.9%
영 2
 
2.9%
Other values (30) 39
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
금 3
 
4.3%
양 3
 
4.3%
보 3
 
4.3%
임 3
 
4.3%
경 3
 
4.3%
백 2
 
2.9%
정 2
 
2.9%
영 2
 
2.9%
Other values (30) 39
56.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
금 3
 
4.3%
양 3
 
4.3%
보 3
 
4.3%
임 3
 
4.3%
경 3
 
4.3%
백 2
 
2.9%
정 2
 
2.9%
영 2
 
2.9%
Other values (30) 39
56.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
금 3
 
4.3%
양 3
 
4.3%
보 3
 
4.3%
임 3
 
4.3%
경 3
 
4.3%
백 2
 
2.9%
정 2
 
2.9%
영 2
 
2.9%
Other values (30) 39
56.5%

도로명주소
Text

Distinct15
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:05:14.843852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14
Min length10

Characters and Unicode

Total characters322
Distinct characters64
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

Unique8 ?
Unique (%)34.8%

Sample

1st row전주시 덕진구 들사평로 38
2nd row전주시 완산구 장승배기로 213
3rd row군산시 백토로 119
4th row군산시 신금길 18
5th row익산시 인북로32길 32
ValueCountFrequency (%)
전주시 5
 
6.2%
들사평로 3
 
3.7%
38 3
 
3.7%
덕진구 3
 
3.7%
군산시 3
 
3.7%
조곡천1길 2
 
2.5%
완주군 2
 
2.5%
23 2
 
2.5%
동서16길 2
 
2.5%
김제시 2
 
2.5%
Other values (40) 54
66.7%
2024-03-14T10:05:15.158934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
18.0%
1 18
 
5.6%
로 17
 
5.3%
3 17
 
5.3%
시 16
 
5.0%
2 12
 
3.7%
군 10
 
3.1%
읍 9
 
2.8%
주 9
 
2.8%
산 8
 
2.5%
Other values (54) 148
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
58.4%
Decimal Number 74
 
23.0%
Space Separator 58
 
18.0%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 17
 
9.0%
시 16
 
8.5%
군 10
 
5.3%
읍 9
 
4.8%
주 9
 
4.8%
산 8
 
4.3%
길 8
 
4.3%
진 6
 
3.2%
동 5
 
2.7%
전 5
 
2.7%
Other values (42) 95
50.5%
Decimal Number
ValueCountFrequency (%)
1 18
24.3%
3 17
23.0%
2 12
16.2%
8 7
 
9.5%
6 4
 
5.4%
4 4
 
5.4%
7 4
 
5.4%
9 4
 
5.4%
5 2
 
2.7%
0 2
 
2.7%
Space Separator
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
58.4%
Common 134
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 17
 
9.0%
시 16
 
8.5%
군 10
 
5.3%
읍 9
 
4.8%
주 9
 
4.8%
산 8
 
4.3%
길 8
 
4.3%
진 6
 
3.2%
동 5
 
2.7%
전 5
 
2.7%
Other values (42) 95
50.5%
Common
ValueCountFrequency (%)
58
43.3%
1 18
 
13.4%
3 17
 
12.7%
2 12
 
9.0%
8 7
 
5.2%
6 4
 
3.0%
4 4
 
3.0%
7 4
 
3.0%
9 4
 
3.0%
- 2
 
1.5%
Other values (2) 4
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
58.4%
ASCII 134
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
43.3%
1 18
 
13.4%
3 17
 
12.7%
2 12
 
9.0%
8 7
 
5.2%
6 4
 
3.0%
4 4
 
3.0%
7 4
 
3.0%
9 4
 
3.0%
- 2
 
1.5%
Other values (2) 4
 
3.0%
Hangul
ValueCountFrequency (%)
로 17
 
9.0%
시 16
 
8.5%
군 10
 
5.3%
읍 9
 
4.8%
주 9
 
4.8%
산 8
 
4.3%
길 8
 
4.3%
진 6
 
3.2%
동 5
 
2.7%
전 5
 
2.7%
Other values (42) 95
50.5%

전화번호
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:05:15.319405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length14.478261
Min length12

Characters and Unicode

Total characters333
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row063-254-3610
2nd row063-232-2346
3rd row063-468-0055
4th row063-442-1203, 063-454-7860
5th row063-842-9191, 063-843-9192
ValueCountFrequency (%)
063-539-5591~8 2
 
7.1%
063-625-4031 2
 
7.1%
063-254-3610 2
 
7.1%
063-540-4111 2
 
7.1%
1664 1
 
3.6%
063-560-8085 1
 
3.6%
063-261-9372 1
 
3.6%
853-5625 1
 
3.6%
063 1
 
3.6%
063-468-0055~7 1
 
3.6%
Other values (14) 14
50.0%
2024-03-14T10:05:15.591014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
15.6%
0 46
13.8%
3 46
13.8%
6 44
13.2%
5 28
8.4%
2 27
8.1%
4 25
7.5%
1 23
6.9%
8 13
 
3.9%
9 10
 
3.0%
Other values (4) 19
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 268
80.5%
Dash Punctuation 52
 
15.6%
Space Separator 5
 
1.5%
Math Symbol 4
 
1.2%
Other Punctuation 4
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
17.2%
3 46
17.2%
6 44
16.4%
5 28
10.4%
2 27
10.1%
4 25
9.3%
1 23
8.6%
8 13
 
4.9%
9 10
 
3.7%
7 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
15.6%
0 46
13.8%
3 46
13.8%
6 44
13.2%
5 28
8.4%
2 27
8.1%
4 25
7.5%
1 23
6.9%
8 13
 
3.9%
9 10
 
3.0%
Other values (4) 19
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
15.6%
0 46
13.8%
3 46
13.8%
6 44
13.2%
5 28
8.4%
2 27
8.1%
4 25
7.5%
1 23
6.9%
8 13
 
3.9%
9 10
 
3.0%
Other values (4) 19
 
5.7%

주요사업
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
-
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 23
100.0%

Length

2024-03-14T10:05:15.696937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:15.773469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
여성청소년과
23 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여성청소년과 23
100.0%

Length

2024-03-14T10:05:15.885564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:15.979385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성청소년과 23
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
공개
23 

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 23
100.0%

Length

2024-03-14T10:05:16.050285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:16.132768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 23
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2015.1
23 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 23
100.0%

Length

2024-03-14T10:05:16.208990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:16.290792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 23
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
1년
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1년 23
100.0%

Length

2024-03-14T10:05:16.376594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:16.449402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 23
100.0%

Interactions

2024-03-14T10:05:12.793071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:05:16.494891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명기관명설립일대표자도로명주소전화번호
순번1.0000.4550.9250.8850.4930.0000.715
시군명0.4551.0001.0000.9301.0001.0001.000
기관명0.9251.0001.0000.9751.0001.0000.943
설립일0.8850.9300.9751.0000.9550.9400.957
대표자0.4931.0001.0000.9551.0001.0000.974
도로명주소0.0001.0001.0000.9401.0001.0001.000
전화번호0.7151.0000.9430.9570.9741.0001.000

Missing values

2024-03-14T10:05:12.880887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:05:13.011820image/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

순번시군명기관명설립일대표자도로명주소전화번호주요사업자료출처공개여부작성일갱신주기
01전주시전북여성교육문화센터2005-07-28김보금전주시 덕진구 들사평로 38063-254-3610-여성청소년과공개2015.11년
12전주시전주여성인력개발센터1998-12-11임경진전주시 완산구 장승배기로 213063-232-2346-여성청소년과공개2015.11년
23군산시군산여성인력개발센터1996-07-15백지연군산시 백토로 119063-468-0055-여성청소년과공개2015.11년
34군산시군산시여성교육장1987-03-11차정희군산시 신금길 18063-442-1203, 063-454-7860-여성청소년과공개2015.11년
45익산시익산여성회관1983-05-18김인숙익산시 인북로32길 32063-842-9191, 063-843-9192-여성청소년과공개2015.11년
56정읍시정읍시여성문화관1991-12-05양동수정읍시 조곡천1길 7063-539-5591~8-여성청소년과공개2015.11년
67남원시남원시여성문화센터1999-09-02박문용남원시 요천로 1283063-625-4031-여성청소년과공개2015.11년
78김제시김제시여성회관1995-04-21조일곤김제시 동서16길 23063-540-4111-여성청소년과공개2015.11년
89완주군완주군종합복지센터2001-05-02김은희완주군 봉동읍 봉동로 396063-290-2164-여성청소년과공개2015.11년
910진안군진안여성일자리지원센터2010-12-16송순이진안군 진안읍 진무로 1054-38063-433-2370-여성청소년과공개2015.11년
순번시군명기관명설립일대표자도로명주소전화번호주요사업자료출처공개여부작성일갱신주기
1314부안군부안노인여성복지회관1998-10-22정홍귀부안군 부안읍 매창로 127063-580-4180-여성청소년과공개2015.11년
1415전주시전북여성교육문화센터2009-07-01김보금전주시 덕진구 들사평로 38063-254-3610, 063-254-3817-여성청소년과공개2015.11년
1516전주시전주새일센터(전주여성인력개발센터)2009-02-01임경진전주시 완산구 장승배기로 213063-232-2346~7-여성청소년과공개2015.11년
1617군산시군산새일센터(군산여성인력개발센터)2009-02-01백지연군산시 백토로 119063-468-0055~7-여성청소년과공개2015.11년
1718익산시익산새일센터(익산여성새일지원본부)2008-10-01최경옥익산시 인북로32길 32063- 853-5625-여성청소년과공개2015.11년
1819정읍시정읍새일센터(정읍시여성문화관)2009-07-01양동수정읍시 조곡천1길 7063-539-5591~8-여성청소년과공개2015.11년
1920남원시남원새일센터(남원시여성문화센터)2009-07-01박문용남원시 요천로 1283063-625-4031-여성청소년과공개2015.11년
2021김제시김제새일센터(김제시여성문화센터)2013-10-23양해완김제시 동서16길 23063-540-4111-여성청소년과공개2015.11년
2122완주군완주근로자종합복지관2015-05-26이계임완주군 봉동읍 둔산3로 94063-261-9372-여성청소년과공개2015.11년
2223전주시전북광역센터(여성교육문화센터)2010-02-23김보금전주시 덕진구 들사평로 38063-254-3620-여성청소년과공개2015.11년