Overview

Dataset statistics

Number of variables10
Number of observations282
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory82.5 B

Variable types

Numeric1
Text4
Categorical5

Alerts

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

Reproduction

Analysis started2024-03-14 01:14:47.290975
Analysis finished2024-03-14 01:14:47.920649
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct282
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.5
Minimum1
Maximum282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-14T10:14:47.980439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.05
Q171.25
median141.5
Q3211.75
95-th percentile267.95
Maximum282
Range281
Interquartile range (IQR)140.5

Descriptive statistics

Standard deviation81.550598
Coefficient of variation (CV)0.57632931
Kurtosis-1.2
Mean141.5
Median Absolute Deviation (MAD)70.5
Skewness0
Sum39903
Variance6650.5
MonotonicityStrictly increasing
2024-03-14T10:14:48.119470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
187 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
186 1
 
0.4%
195 1
 
0.4%
Other values (272) 272
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%

시설명
Text

Distinct255
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-14T10:14:48.404519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.7375887
Min length5

Characters and Unicode

Total characters2464
Distinct characters270
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

Unique233 ?
Unique (%)82.6%

Sample

1st row풍산지역아동센터
2nd row순창지역아동센터
3rd row구림한사랑지역아동센터
4th row늘푸른지역아동센터
5th row고산지역아동센터
ValueCountFrequency (%)
솔로몬지역아동센터 4
 
1.4%
미소지역아동센터 3
 
1.1%
희망지역아동센터 3
 
1.1%
우리지역아동센터 3
 
1.1%
제일지역아동센터 2
 
0.7%
꿈터지역아동센터 2
 
0.7%
엘림지역아동센터 2
 
0.7%
동산지역아동센터 2
 
0.7%
반석지역아동센터 2
 
0.7%
한우리지역아동센터 2
 
0.7%
Other values (245) 257
91.1%
2024-03-14T10:14:48.718144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 292
11.9%
아 288
11.7%
터 281
11.4%
지 280
 
11.4%
센 277
 
11.2%
역 276
 
11.2%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.6%
리 15
 
0.6%
Other values (260) 701
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2431
98.7%
Lowercase Letter 16
 
0.6%
Decimal Number 8
 
0.3%
Uppercase Letter 8
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 292
12.0%
아 288
11.8%
터 281
11.6%
지 280
11.5%
센 277
11.4%
역 276
11.4%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.7%
리 15
 
0.6%
Other values (240) 668
27.5%
Lowercase Letter
ValueCountFrequency (%)
p 4
25.0%
a 2
12.5%
y 2
12.5%
e 2
12.5%
o 2
12.5%
n 2
12.5%
z 1
 
6.2%
h 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
H 1
12.5%
Z 1
12.5%
G 1
12.5%
J 1
12.5%
A 1
12.5%
C 1
12.5%
W 1
12.5%
Y 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
8 2
25.0%
3 2
25.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2431
98.7%
Latin 24
 
1.0%
Common 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 292
12.0%
아 288
11.8%
터 281
11.6%
지 280
11.5%
센 277
11.4%
역 276
11.4%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.7%
리 15
 
0.6%
Other values (240) 668
27.5%
Latin
ValueCountFrequency (%)
p 4
16.7%
a 2
 
8.3%
y 2
 
8.3%
e 2
 
8.3%
o 2
 
8.3%
n 2
 
8.3%
H 1
 
4.2%
z 1
 
4.2%
Z 1
 
4.2%
h 1
 
4.2%
Other values (6) 6
25.0%
Common
ValueCountFrequency (%)
1 4
44.4%
8 2
22.2%
3 2
22.2%
! 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2431
98.7%
ASCII 33
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 292
12.0%
아 288
11.8%
터 281
11.6%
지 280
11.5%
센 277
11.4%
역 276
11.4%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.7%
리 15
 
0.6%
Other values (240) 668
27.5%
ASCII
ValueCountFrequency (%)
1 4
 
12.1%
p 4
 
12.1%
8 2
 
6.1%
3 2
 
6.1%
a 2
 
6.1%
y 2
 
6.1%
e 2
 
6.1%
o 2
 
6.1%
n 2
 
6.1%
H 1
 
3.0%
Other values (10) 10
30.3%

시군명
Categorical

Distinct14
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
전주시
63 
군산시
51 
익산시
47 
정읍시
29 
남원시
26 
Other values (9)
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row순창군
2nd row순창군
3rd row순창군
4th row정읍시
5th row완주군

Common Values

ValueCountFrequency (%)
전주시 63
22.3%
군산시 51
18.1%
익산시 47
16.7%
정읍시 29
10.3%
남원시 26
9.2%
완주군 12
 
4.3%
진안군 11
 
3.9%
김제시 11
 
3.9%
장수군 7
 
2.5%
고창군 6
 
2.1%
Other values (4) 19
 
6.7%

Length

2024-03-14T10:14:48.824441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 63
22.3%
군산시 51
18.1%
익산시 47
16.7%
정읍시 29
10.3%
남원시 26
9.2%
완주군 12
 
4.3%
진안군 11
 
3.9%
김제시 11
 
3.9%
장수군 7
 
2.5%
고창군 6
 
2.1%
Other values (4) 19
 
6.7%

도로명주소
Text

Distinct278
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-14T10:14:49.045401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length19.737589
Min length9

Characters and Unicode

Total characters5566
Distinct characters280
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

Unique274 ?
Unique (%)97.2%

Sample

1st row순창군 풍산면 풍산로 531
2nd row순창군 순창읍 양지길 41
3rd row순창군 구림면 장암길 5-16
4th row정읍시 씨교2길 7 (장명동, 정읍중앙교회)
5th row완주군 고산면 고산천로 401-6
ValueCountFrequency (%)
전주시 63
 
5.4%
군산시 51
 
4.4%
익산시 47
 
4.0%
완산구 35
 
3.0%
정읍시 29
 
2.5%
덕진구 28
 
2.4%
남원시 26
 
2.2%
완주군 12
 
1.0%
김제시 11
 
0.9%
진안군 11
 
0.9%
Other values (665) 853
73.2%
2024-03-14T10:14:49.398073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
884
 
15.9%
시 235
 
4.2%
1 235
 
4.2%
동 196
 
3.5%
산 189
 
3.4%
로 159
 
2.9%
길 149
 
2.7%
( 148
 
2.7%
) 148
 
2.7%
2 141
 
2.5%
Other values (270) 3082
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3299
59.3%
Decimal Number 920
 
16.5%
Space Separator 884
 
15.9%
Open Punctuation 148
 
2.7%
Close Punctuation 148
 
2.7%
Dash Punctuation 93
 
1.7%
Other Punctuation 74
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 235
 
7.1%
동 196
 
5.9%
산 189
 
5.7%
로 159
 
4.8%
길 149
 
4.5%
군 112
 
3.4%
주 102
 
3.1%
구 79
 
2.4%
전 73
 
2.2%
읍 62
 
1.9%
Other values (255) 1943
58.9%
Decimal Number
ValueCountFrequency (%)
1 235
25.5%
2 141
15.3%
3 97
10.5%
4 87
 
9.5%
5 74
 
8.0%
6 69
 
7.5%
7 62
 
6.7%
8 57
 
6.2%
0 51
 
5.5%
9 47
 
5.1%
Space Separator
ValueCountFrequency (%)
884
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3299
59.3%
Common 2267
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 235
 
7.1%
동 196
 
5.9%
산 189
 
5.7%
로 159
 
4.8%
길 149
 
4.5%
군 112
 
3.4%
주 102
 
3.1%
구 79
 
2.4%
전 73
 
2.2%
읍 62
 
1.9%
Other values (255) 1943
58.9%
Common
ValueCountFrequency (%)
884
39.0%
1 235
 
10.4%
( 148
 
6.5%
) 148
 
6.5%
2 141
 
6.2%
3 97
 
4.3%
- 93
 
4.1%
4 87
 
3.8%
5 74
 
3.3%
, 74
 
3.3%
Other values (5) 286
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3299
59.3%
ASCII 2267
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
884
39.0%
1 235
 
10.4%
( 148
 
6.5%
) 148
 
6.5%
2 141
 
6.2%
3 97
 
4.3%
- 93
 
4.1%
4 87
 
3.8%
5 74
 
3.3%
, 74
 
3.3%
Other values (5) 286
 
12.6%
Hangul
ValueCountFrequency (%)
시 235
 
7.1%
동 196
 
5.9%
산 189
 
5.7%
로 159
 
4.8%
길 149
 
4.5%
군 112
 
3.4%
주 102
 
3.1%
구 79
 
2.4%
전 73
 
2.2%
읍 62
 
1.9%
Other values (255) 1943
58.9%

상세주소
Text

Distinct53
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-14T10:14:49.563161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length1
Mean length2.4432624
Min length1

Characters and Unicode

Total characters689
Distinct characters141
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)17.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
207
65.7%
2층 19
 
6.0%
3층 9
 
2.9%
상가 7
 
2.2%
상가2층 4
 
1.3%
4층 2
 
0.6%
301호 2
 
0.6%
203.204호 1
 
0.3%
예닮교회 1
 
0.3%
한우마트 1
 
0.3%
Other values (62) 62
 
19.7%
2024-03-14T10:14:49.845403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 207
30.0%
2 39
 
5.7%
층 37
 
5.4%
33
 
4.8%
0 21
 
3.0%
3 18
 
2.6%
상 18
 
2.6%
가 18
 
2.6%
호 17
 
2.5%
1 16
 
2.3%
Other values (131) 265
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
49.1%
Dash Punctuation 207
30.0%
Decimal Number 106
 
15.4%
Space Separator 33
 
4.8%
Other Punctuation 4
 
0.6%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 37
 
10.9%
상 18
 
5.3%
가 18
 
5.3%
호 17
 
5.0%
아 12
 
3.6%
동 11
 
3.3%
회 11
 
3.3%
교 10
 
3.0%
트 10
 
3.0%
파 8
 
2.4%
Other values (115) 186
55.0%
Decimal Number
ValueCountFrequency (%)
2 39
36.8%
0 21
19.8%
3 18
17.0%
1 16
15.1%
6 4
 
3.8%
4 3
 
2.8%
9 2
 
1.9%
8 1
 
0.9%
5 1
 
0.9%
7 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
/ 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 207
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
50.8%
Hangul 338
49.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 37
 
10.9%
상 18
 
5.3%
가 18
 
5.3%
호 17
 
5.0%
아 12
 
3.6%
동 11
 
3.3%
회 11
 
3.3%
교 10
 
3.0%
트 10
 
3.0%
파 8
 
2.4%
Other values (115) 186
55.0%
Common
ValueCountFrequency (%)
- 207
59.1%
2 39
 
11.1%
33
 
9.4%
0 21
 
6.0%
3 18
 
5.1%
1 16
 
4.6%
6 4
 
1.1%
4 3
 
0.9%
, 2
 
0.6%
9 2
 
0.6%
Other values (5) 5
 
1.4%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
50.9%
Hangul 338
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 207
59.0%
2 39
 
11.1%
33
 
9.4%
0 21
 
6.0%
3 18
 
5.1%
1 16
 
4.6%
6 4
 
1.1%
4 3
 
0.9%
, 2
 
0.6%
9 2
 
0.6%
Other values (6) 6
 
1.7%
Hangul
ValueCountFrequency (%)
층 37
 
10.9%
상 18
 
5.3%
가 18
 
5.3%
호 17
 
5.0%
아 12
 
3.6%
동 11
 
3.3%
회 11
 
3.3%
교 10
 
3.0%
트 10
 
3.0%
파 8
 
2.4%
Other values (115) 186
55.0%

전화번호
Text

UNIQUE 

Distinct282
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-14T10:14:50.047995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.078014
Min length12

Characters and Unicode

Total characters3406
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

Unique282 ?
Unique (%)100.0%

Sample

1st row063-652-0365
2nd row063-653-9191
3rd row063-652-9234
4th row063-536-6676
5th row063-261-1388
ValueCountFrequency (%)
063-652-0365 1
 
0.4%
063-211-9234 1
 
0.4%
063-533-6303 1
 
0.4%
070-8963-3349 1
 
0.4%
063-242-0265 1
 
0.4%
063-277-9004 1
 
0.4%
063-241-1171 1
 
0.4%
063-855-1009 1
 
0.4%
063-841-0955 1
 
0.4%
063-634-7254 1
 
0.4%
Other values (272) 272
96.5%
2024-03-14T10:14:50.381572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 564
16.6%
3 522
15.3%
0 483
14.2%
6 449
13.2%
2 282
8.3%
5 223
 
6.5%
4 220
 
6.5%
8 191
 
5.6%
1 184
 
5.4%
7 161
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2842
83.4%
Dash Punctuation 564
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 522
18.4%
0 483
17.0%
6 449
15.8%
2 282
9.9%
5 223
7.8%
4 220
7.7%
8 191
 
6.7%
1 184
 
6.5%
7 161
 
5.7%
9 127
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 564
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 564
16.6%
3 522
15.3%
0 483
14.2%
6 449
13.2%
2 282
8.3%
5 223
 
6.5%
4 220
 
6.5%
8 191
 
5.6%
1 184
 
5.4%
7 161
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 564
16.6%
3 522
15.3%
0 483
14.2%
6 449
13.2%
2 282
8.3%
5 223
 
6.5%
4 220
 
6.5%
8 191
 
5.6%
1 184
 
5.4%
7 161
 
4.7%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
여성청소년과
282 

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 282
100.0%

Length

2024-03-14T10:14:50.571694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:14:50.641410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성청소년과 282
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
공개
282 

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 282
100.0%

Length

2024-03-14T10:14:50.725356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:14:51.019635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 282
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2017.01
282 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017.01
2nd row2017.01
3rd row2017.01
4th row2017.01
5th row2017.01

Common Values

ValueCountFrequency (%)
2017.01 282
100.0%

Length

2024-03-14T10:14:51.089114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:14:51.156070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.01 282
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1년
282 

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 282
100.0%

Length

2024-03-14T10:14:51.225494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:14:51.301615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 282
100.0%

Interactions

2024-03-14T10:14:47.654952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:14:51.346963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명상세주소
순번1.0000.8080.197
시군명0.8081.0000.570
상세주소0.1970.5701.000
2024-03-14T10:14:51.414274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명
순번1.0000.492
시군명0.4921.000

Missing values

2024-03-14T10:14:47.741054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:14:47.867743image/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

순번시설명시군명도로명주소상세주소전화번호자료출처공개여부작성일갱신주기
01풍산지역아동센터순창군순창군 풍산면 풍산로 531-063-652-0365여성청소년과공개2017.011년
12순창지역아동센터순창군순창군 순창읍 양지길 41-063-653-9191여성청소년과공개2017.011년
23구림한사랑지역아동센터순창군순창군 구림면 장암길 5-16-063-652-9234여성청소년과공개2017.011년
34늘푸른지역아동센터정읍시정읍시 씨교2길 7 (장명동, 정읍중앙교회)-063-536-6676여성청소년과공개2017.011년
45고산지역아동센터완주군완주군 고산면 고산천로 401-6-063-261-1388여성청소년과공개2017.011년
56햇빛지역아동센터완주군완주군 봉동읍 봉동동서로 76봉동2차명진로얄아파트 203호063-261-7277여성청소년과공개2017.011년
67화산지역아동센터완주군완주군 화산면 화산로 864-1-063-263-1388여성청소년과공개2017.011년
78익산지역아동센터익산시익산시 익산대로33길 28 (신용동)-063-854-6324여성청소년과공개2017.011년
89소양지역아동센터완주군완주군 소양면 소양로 237-27-063-246-2442여성청소년과공개2017.011년
910모악엘피스지역아동센터완주군완주군 구이면 하학길 37-5-063-222-6206여성청소년과공개2017.011년
순번시설명시군명도로명주소상세주소전화번호자료출처공개여부작성일갱신주기
272273고창지역아동센터고창군고창군 고창읍 성산2길 232층063-561-3927여성청소년과공개2017.011년
273274한마음지역아동센터고창군고창군 고창읍 중거리당산로 85삼영남흥맨션 상가2층063-561-1775여성청소년과공개2017.011년
274275성내하늘땅지역아동센터고창군고창군 성내면 시기2길 18성내청소년문화의집063-563-5615여성청소년과공개2017.011년
275276열린학교지역아동센터군산시군산시 풍문안1길 50 (미원동)-063-442-7634여성청소년과공개2017.011년
276277다아솜지역아동센터고창군고창군 부안면 복분자로 916-1-063-562-6331여성청소년과공개2017.011년
277278오식도지역아동센터군산시군산시 산단남북로 228-7 (오식도동)-063-468-4838여성청소년과공개2017.011년
278279임실지역아동센터임실군임실군 임실읍 봉황로 53-063-643-4003여성청소년과공개2017.011년
279280기장지역아동센터임실군임실군 오수면 삼일로 20-063-644-5106여성청소년과공개2017.011년
280281전주지역아동센터전주시전주시 덕진구 매봉로 40-063-273-3690여성청소년과공개2017.011년
281282장수지역아동센터장수군장수군 장수읍 덕산로 10-063-352-1255여성청소년과공개2017.011년