Overview

Dataset statistics

Number of variables13
Number of observations443
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.9 KiB
Average record size in memory108.3 B

Variable types

Numeric3
Categorical6
Text3
Boolean1

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
정원수 is highly overall correlated with 현원수High correlation
현원수 is highly overall correlated with 정원수High correlation
시군명 is highly overall correlated with 순번High correlation
평가인증 is highly imbalanced (69.6%)Imbalance
순번 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:05:23.561607
Analysis finished2024-03-14 01:05:25.113752
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct443
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222
Minimum1
Maximum443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T10:05:25.172380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.1
Q1111.5
median222
Q3332.5
95-th percentile420.9
Maximum443
Range442
Interquartile range (IQR)221

Descriptive statistics

Standard deviation128.02734
Coefficient of variation (CV)0.57669973
Kurtosis-1.2
Mean222
Median Absolute Deviation (MAD)111
Skewness0
Sum98346
Variance16391
MonotonicityStrictly increasing
2024-03-14T10:05:25.273495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
293 1
 
0.2%
304 1
 
0.2%
303 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
Other values (433) 433
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
443 1
0.2%
442 1
0.2%
441 1
0.2%
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
전주시
134 
익산시
95 
군산시
48 
남원시
47 
정읍시
40 
Other values (7)
79 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 134
30.2%
익산시 95
21.4%
군산시 48
 
10.8%
남원시 47
 
10.6%
정읍시 40
 
9.0%
김제시 26
 
5.9%
완주군 26
 
5.9%
고창군 11
 
2.5%
부안군 8
 
1.8%
무주군 3
 
0.7%
Other values (2) 5
 
1.1%

Length

2024-03-14T10:05:25.386358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 134
30.2%
익산시 95
21.4%
군산시 48
 
10.8%
남원시 47
 
10.6%
정읍시 40
 
9.0%
김제시 26
 
5.9%
완주군 26
 
5.9%
고창군 11
 
2.5%
부안군 8
 
1.8%
무주군 3
 
0.7%
Other values (2) 5
 
1.1%

어린이집명
Text

Distinct397
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T10:05:25.605673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.4063205
Min length5

Characters and Unicode

Total characters3281
Distinct characters311
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)81.0%

Sample

1st row키즈클럽어린이집
2nd row상원어린이집
3rd row중산어린이집
4th rowECG우미어린이집
5th row신동어린이집
ValueCountFrequency (%)
어린이집 22
 
4.7%
솔로몬어린이집 3
 
0.6%
아이들세상어린이집 3
 
0.6%
큰별어린이집 3
 
0.6%
해바라기어린이집 3
 
0.6%
꼬마천사어린이집 3
 
0.6%
아이사랑어린이집 3
 
0.6%
이화어린이집 3
 
0.6%
꿈나래어린이집 3
 
0.6%
엄마어린이집 2
 
0.4%
Other values (391) 420
89.7%
2024-03-14T10:05:26.034975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 501
15.3%
어 446
 
13.6%
린 446
 
13.6%
집 443
 
13.5%
아 62
 
1.9%
사 36
 
1.1%
나 36
 
1.1%
마 32
 
1.0%
가 30
 
0.9%
랑 30
 
0.9%
Other values (301) 1219
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3243
98.8%
Space Separator 25
 
0.8%
Uppercase Letter 9
 
0.3%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 501
15.4%
어 446
 
13.8%
린 446
 
13.8%
집 443
 
13.7%
아 62
 
1.9%
사 36
 
1.1%
나 36
 
1.1%
마 32
 
1.0%
가 30
 
0.9%
랑 30
 
0.9%
Other values (291) 1181
36.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
E 2
22.2%
Q 1
11.1%
B 1
11.1%
A 1
11.1%
G 1
11.1%
Y 1
11.1%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3243
98.8%
Common 29
 
0.9%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 501
15.4%
어 446
 
13.8%
린 446
 
13.8%
집 443
 
13.7%
아 62
 
1.9%
사 36
 
1.1%
나 36
 
1.1%
마 32
 
1.0%
가 30
 
0.9%
랑 30
 
0.9%
Other values (291) 1181
36.4%
Latin
ValueCountFrequency (%)
C 2
22.2%
E 2
22.2%
Q 1
11.1%
B 1
11.1%
A 1
11.1%
G 1
11.1%
Y 1
11.1%
Common
ValueCountFrequency (%)
25
86.2%
4 2
 
6.9%
2 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3243
98.8%
ASCII 38
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 501
15.4%
어 446
 
13.8%
린 446
 
13.8%
집 443
 
13.7%
아 62
 
1.9%
사 36
 
1.1%
나 36
 
1.1%
마 32
 
1.0%
가 30
 
0.9%
랑 30
 
0.9%
Other values (291) 1181
36.4%
ASCII
ValueCountFrequency (%)
25
65.8%
4 2
 
5.3%
2 2
 
5.3%
C 2
 
5.3%
E 2
 
5.3%
Q 1
 
2.6%
B 1
 
2.6%
A 1
 
2.6%
G 1
 
2.6%
Y 1
 
2.6%

유형
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
가정
229 
민간
120 
국공립
34 
사회복지법인
33 
법인·단체등
26 

Length

Max length6
Median length2
Mean length2.6094808
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row가정
2nd row사회복지법인
3rd row사회복지법인
4th row민간
5th row민간

Common Values

ValueCountFrequency (%)
가정 229
51.7%
민간 120
27.1%
국공립 34
 
7.7%
사회복지법인 33
 
7.4%
법인·단체등 26
 
5.9%
직장 1
 
0.2%

Length

2024-03-14T10:05:26.158696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:26.252382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 229
51.7%
민간 120
27.1%
국공립 34
 
7.7%
사회복지법인 33
 
7.4%
법인·단체등 26
 
5.9%
직장 1
 
0.2%

평가인증
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size575.0 B
True
419 
False
 
24
ValueCountFrequency (%)
True 419
94.6%
False 24
 
5.4%
2024-03-14T10:05:26.349178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct101
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.37246
Minimum10
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T10:05:26.453909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q119
median20
Q370
95-th percentile116.2
Maximum244
Range234
Interquartile range (IQR)51

Descriptive statistics

Standard deviation38.281334
Coefficient of variation (CV)0.84371298
Kurtosis2.8982328
Mean45.37246
Median Absolute Deviation (MAD)7
Skewness1.5686922
Sum20100
Variance1465.4605
MonotonicityNot monotonic
2024-03-14T10:05:26.860293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 89
20.1%
19 58
 
13.1%
13 24
 
5.4%
99 17
 
3.8%
17 12
 
2.7%
16 11
 
2.5%
14 9
 
2.0%
18 8
 
1.8%
11 8
 
1.8%
39 8
 
1.8%
Other values (91) 199
44.9%
ValueCountFrequency (%)
10 3
 
0.7%
11 8
 
1.8%
12 2
 
0.5%
13 24
5.4%
14 9
 
2.0%
15 6
 
1.4%
16 11
 
2.5%
17 12
 
2.7%
18 8
 
1.8%
19 58
13.1%
ValueCountFrequency (%)
244 1
0.2%
210 1
0.2%
200 1
0.2%
199 1
0.2%
164 1
0.2%
163 2
0.5%
161 1
0.2%
157 1
0.2%
139 1
0.2%
138 1
0.2%

현원수
Real number (ℝ)

HIGH CORRELATION 

Distinct101
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.051919
Minimum0
Maximum175
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T10:05:27.023389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median19
Q347
95-th percentile89.9
Maximum175
Range175
Interquartile range (IQR)34

Descriptive statistics

Standard deviation28.937122
Coefficient of variation (CV)0.87550506
Kurtosis3.2188823
Mean33.051919
Median Absolute Deviation (MAD)10
Skewness1.6599744
Sum14642
Variance837.35703
MonotonicityNot monotonic
2024-03-14T10:05:27.219680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 24
 
5.4%
13 23
 
5.2%
19 21
 
4.7%
11 20
 
4.5%
12 20
 
4.5%
16 18
 
4.1%
18 18
 
4.1%
14 16
 
3.6%
15 15
 
3.4%
17 15
 
3.4%
Other values (91) 253
57.1%
ValueCountFrequency (%)
0 1
 
0.2%
2 2
 
0.5%
3 4
 
0.9%
4 2
 
0.5%
5 4
 
0.9%
6 7
1.6%
7 7
1.6%
8 9
2.0%
9 9
2.0%
10 14
3.2%
ValueCountFrequency (%)
175 1
0.2%
169 1
0.2%
156 1
0.2%
149 1
0.2%
132 1
0.2%
125 1
0.2%
124 1
0.2%
123 1
0.2%
101 1
0.2%
100 1
0.2%

전화번호
Text

UNIQUE 

Distinct443
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T10:05:27.442285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004515
Min length12

Characters and Unicode

Total characters5318
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

Unique443 ?
Unique (%)100.0%

Sample

1st row063-255-8380
2nd row063-253-3138
3rd row063-283-6667
4th row063-228-1834
5th row063-237-0022
ValueCountFrequency (%)
063-255-8380 1
 
0.2%
063-533-8116 1
 
0.2%
063-538-2091 1
 
0.2%
063-537-2031 1
 
0.2%
063-532-7428 1
 
0.2%
063-537-2735 1
 
0.2%
063-536-8765 1
 
0.2%
063-538-0224 1
 
0.2%
063-535-8889 1
 
0.2%
063-538-9977 1
 
0.2%
Other values (433) 433
97.7%
2024-03-14T10:05:27.744276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 886
16.7%
3 825
15.5%
6 758
14.3%
0 683
12.8%
2 487
9.2%
5 405
7.6%
8 300
 
5.6%
4 293
 
5.5%
1 278
 
5.2%
7 235
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4432
83.3%
Dash Punctuation 886
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 825
18.6%
6 758
17.1%
0 683
15.4%
2 487
11.0%
5 405
9.1%
8 300
 
6.8%
4 293
 
6.6%
1 278
 
6.3%
7 235
 
5.3%
9 168
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 886
16.7%
3 825
15.5%
6 758
14.3%
0 683
12.8%
2 487
9.2%
5 405
7.6%
8 300
 
5.6%
4 293
 
5.5%
1 278
 
5.2%
7 235
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 886
16.7%
3 825
15.5%
6 758
14.3%
0 683
12.8%
2 487
9.2%
5 405
7.6%
8 300
 
5.6%
4 293
 
5.5%
1 278
 
5.2%
7 235
 
4.4%

도로명주소
Text

Distinct387
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T10:05:28.009974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length29
Mean length14.153499
Min length9

Characters and Unicode

Total characters6270
Distinct characters231
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

Unique345 ?
Unique (%)77.9%

Sample

1st row전주시 완산구 당산로 43
2nd row전주시 완산구 천잠로 545-7
3rd row전주시 완산구 서원로 334
4th row전주시 완산구 모악로 4685
5th row전주시 완산구 맏내로 158-11
ValueCountFrequency (%)
전주시 134
 
8.5%
완산구 96
 
6.1%
익산시 95
 
6.1%
군산시 48
 
3.1%
남원시 47
 
3.0%
정읍시 40
 
2.5%
덕진구 38
 
2.4%
완주군 26
 
1.7%
김제시 26
 
1.7%
봉동읍 14
 
0.9%
Other values (603) 1005
64.1%
2024-03-14T10:05:28.506200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1127
 
18.0%
시 394
 
6.3%
1 333
 
5.3%
산 287
 
4.6%
로 279
 
4.4%
2 232
 
3.7%
길 221
 
3.5%
3 180
 
2.9%
주 170
 
2.7%
전 140
 
2.2%
Other values (221) 2907
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3619
57.7%
Decimal Number 1410
 
22.5%
Space Separator 1127
 
18.0%
Dash Punctuation 114
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 394
 
10.9%
산 287
 
7.9%
로 279
 
7.7%
길 221
 
6.1%
주 170
 
4.7%
전 140
 
3.9%
구 137
 
3.8%
완 124
 
3.4%
군 101
 
2.8%
익 101
 
2.8%
Other values (209) 1665
46.0%
Decimal Number
ValueCountFrequency (%)
1 333
23.6%
2 232
16.5%
3 180
12.8%
5 118
 
8.4%
4 105
 
7.4%
0 103
 
7.3%
9 97
 
6.9%
6 90
 
6.4%
7 82
 
5.8%
8 70
 
5.0%
Space Separator
ValueCountFrequency (%)
1127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3619
57.7%
Common 2651
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 394
 
10.9%
산 287
 
7.9%
로 279
 
7.7%
길 221
 
6.1%
주 170
 
4.7%
전 140
 
3.9%
구 137
 
3.8%
완 124
 
3.4%
군 101
 
2.8%
익 101
 
2.8%
Other values (209) 1665
46.0%
Common
ValueCountFrequency (%)
1127
42.5%
1 333
 
12.6%
2 232
 
8.8%
3 180
 
6.8%
5 118
 
4.5%
- 114
 
4.3%
4 105
 
4.0%
0 103
 
3.9%
9 97
 
3.7%
6 90
 
3.4%
Other values (2) 152
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3619
57.7%
ASCII 2651
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1127
42.5%
1 333
 
12.6%
2 232
 
8.8%
3 180
 
6.8%
5 118
 
4.5%
- 114
 
4.3%
4 105
 
4.0%
0 103
 
3.9%
9 97
 
3.7%
6 90
 
3.4%
Other values (2) 152
 
5.7%
Hangul
ValueCountFrequency (%)
시 394
 
10.9%
산 287
 
7.9%
로 279
 
7.7%
길 221
 
6.1%
주 170
 
4.7%
전 140
 
3.9%
구 137
 
3.8%
완 124
 
3.4%
군 101
 
2.8%
익 101
 
2.8%
Other values (209) 1665
46.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
사회복지과
443 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 443
100.0%

Length

2024-03-14T10:05:28.623685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:28.703922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 443
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
공개
443 

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 443
100.0%

Length

2024-03-14T10:05:28.786506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:28.860551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 443
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2015.1
443 

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 (%)
2015.1 443
100.0%

Length

2024-03-14T10:05:28.934757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:29.026280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 443
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
1년
443 

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 443
100.0%

Length

2024-03-14T10:05:29.110556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:05:29.186783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 443
100.0%

Interactions

2024-03-14T10:05:24.638404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.068889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.327923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.717282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.129766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.410490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.786845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.207359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:05:24.497204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:05:29.238470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명유형평가인증정원수현원수
순번1.0000.9140.2280.1290.2110.224
시군명0.9141.0000.4070.2540.2060.199
유형0.2280.4071.0000.0560.6800.620
평가인증0.1290.2540.0561.0000.0000.114
정원수0.2110.2060.6800.0001.0000.929
현원수0.2240.1990.6200.1140.9291.000
2024-03-14T10:05:29.327567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가인증유형
시군명1.0000.1950.170
평가인증0.1951.0000.039
유형0.1700.0391.000
2024-03-14T10:05:29.399599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번정원수현원수시군명유형평가인증
순번1.0000.1810.2140.7070.1210.098
정원수0.1811.0000.8580.0880.4160.000
현원수0.2140.8581.0000.0780.3620.111
시군명0.7070.0880.0781.0000.1700.195
유형0.1210.4160.3620.1701.0000.039
평가인증0.0980.0000.1110.1950.0391.000

Missing values

2024-03-14T10:05:24.896571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:05:25.059325image/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

순번시군명어린이집명유형평가인증정원수현원수전화번호도로명주소자료출처공개여부작성일갱신주기
01전주시키즈클럽어린이집가정Y1913063-255-8380전주시 완산구 당산로 43사회복지과공개2015.11년
12전주시상원어린이집사회복지법인Y6666063-253-3138전주시 완산구 천잠로 545-7사회복지과공개2015.11년
23전주시중산어린이집사회복지법인Y15776063-283-6667전주시 완산구 서원로 334사회복지과공개2015.11년
34전주시ECG우미어린이집민간Y3220063-228-1834전주시 완산구 모악로 4685사회복지과공개2015.11년
45전주시신동어린이집민간Y9939063-237-0022전주시 완산구 맏내로 158-11사회복지과공개2015.11년
56전주시빛나라어린이집민간Y3111063-227-0801전주시 완산구 중산9길 7-5사회복지과공개2015.11년
67전주시미래어린이집민간Y5542063-271-5330전주시 완산구 서신천변1길 16사회복지과공개2015.11년
78전주시우람어린이집사회복지법인Y7710063-222-1144전주시 완산구 구이로 2041-1사회복지과공개2015.11년
89전주시도담아이어린이집가정Y2018063-228-1239전주시 완산구 삼천천변1길 45사회복지과공개2015.11년
910전주시신색동어린이집가정Y1915063-224-8848전주시 완산구 용리로 133사회복지과공개2015.11년
순번시군명어린이집명유형평가인증정원수현원수전화번호도로명주소자료출처공개여부작성일갱신주기
433434고창군아이세상어린이집사회복지법인Y6663063-564-5240고창군 고창읍 동리로 126-9사회복지과공개2015.11년
434435고창군고창보듬이나눔이어린이집국공립Y9978063-564-0506고창군 고창읍 월곡뉴타운2길 20사회복지과공개2015.11년
435436부안군백산교회부설샬롬어린이집법인·단체등Y5530063-581-1513부안군 백산면 시기길 18사회복지과공개2015.11년
436437부안군하늘숲어린이집민간Y9791063-581-5599부안군 부안읍 선은2길 2-1사회복지과공개2015.11년
437438부안군아기별어린이집가정Y2019063-584-0579부안군 부안읍 부풍로 26사회복지과공개2015.11년
438439부안군하얀어린이집가정Y2020063-582-2777부안군 부안읍 오리정로 172 하이안아파트 101동 109호사회복지과공개2015.11년
439440부안군해랑어린이집민간Y10967063-582-2879부안군 변산면 격포윗길 7사회복지과공개2015.11년
440441부안군언덕위어린이집민간Y8376063-581-2595부안군 부안읍 석정로 49-6사회복지과공개2015.11년
441442부안군자연보물어린이집국공립Y6765063-584-8778부안군 부안읍 봉두길 52사회복지과공개2015.11년
442443부안군함께하는어린이집민간Y2323063-582-0391부안군 백산면 임현로 8사회복지과공개2015.11년