Overview

Dataset statistics

Number of variables9
Number of observations407
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.5 KiB
Average record size in memory74.3 B

Variable types

Numeric2
Categorical3
Text3
Boolean1

Dataset

Description인천광역시 서구 어린이집 현황 데이터 입니다. 어린이집유형, 어린이집명, 행정동, 주소, 어린이집특성, 정원 등으로 구분하고 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090895/fileData.do

Alerts

행정동 is highly overall correlated with 평가참여(인증)High correlation
평가참여(인증) is highly overall correlated with 행정동High correlation
어린이집특성 is highly imbalanced (72.0%)Imbalance
연번 has unique valuesUnique
어린이집명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:57:02.057003
Analysis finished2023-12-12 08:57:03.448647
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204
Minimum1
Maximum407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T17:57:03.533217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.3
Q1102.5
median204
Q3305.5
95-th percentile386.7
Maximum407
Range406
Interquartile range (IQR)203

Descriptive statistics

Standard deviation117.63503
Coefficient of variation (CV)0.5766423
Kurtosis-1.2
Mean204
Median Absolute Deviation (MAD)102
Skewness0
Sum83028
Variance13838
MonotonicityStrictly increasing
2023-12-12T17:57:03.705773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
269 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
Other values (397) 397
97.5%
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 (%)
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%

어린이집유형
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
가정
194 
민간
129 
국공립
68 
직장
 
12
법인·단체등
 
2

Length

Max length6
Median length2
Mean length2.2063882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 194
47.7%
민간 129
31.7%
국공립 68
 
16.7%
직장 12
 
2.9%
법인·단체등 2
 
0.5%
사회복지법인 2
 
0.5%

Length

2023-12-12T17:57:03.895429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:04.042186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 194
47.7%
민간 129
31.7%
국공립 68
 
16.7%
직장 12
 
2.9%
법인·단체등 2
 
0.5%
사회복지법인 2
 
0.5%

어린이집명
Text

UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:57:04.288889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.4226044
Min length5

Characters and Unicode

Total characters3428
Distinct characters323
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)100.0%

Sample

1st row(구립)검단평화어린이집
2nd rowJK글로벌어린이집
3rd rowSK라온어린이집
4th rowSK에코어린이집
5th rowThe꿈나무 어린이집
ValueCountFrequency (%)
어린이집 4
 
1.0%
구립)검단평화어린이집 1
 
0.2%
우방-i어린이집 1
 
0.2%
은초록별어린이집 1
 
0.2%
은지어린이집 1
 
0.2%
윤슬어린이집 1
 
0.2%
위브긍정어린이집 1
 
0.2%
웰카운티샛별어린이집 1
 
0.2%
월드해랑어린이집 1
 
0.2%
월드어린이집 1
 
0.2%
Other values (400) 400
96.9%
2023-12-12T17:57:04.730767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 466
 
13.6%
린 419
 
12.2%
어 410
 
12.0%
집 407
 
11.9%
아 84
 
2.5%
라 69
 
2.0%
공 48
 
1.4%
립 46
 
1.3%
국 46
 
1.3%
리 41
 
1.2%
Other values (313) 1392
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3378
98.5%
Lowercase Letter 17
 
0.5%
Uppercase Letter 14
 
0.4%
Decimal Number 7
 
0.2%
Space Separator 6
 
0.2%
Open Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 466
 
13.8%
린 419
 
12.4%
어 410
 
12.1%
집 407
 
12.0%
아 84
 
2.5%
라 69
 
2.0%
공 48
 
1.4%
립 46
 
1.4%
국 46
 
1.4%
리 41
 
1.2%
Other values (294) 1342
39.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
i 4
23.5%
h 3
17.6%
s 2
11.8%
m 2
11.8%
u 1
 
5.9%
t 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 5
35.7%
S 4
28.6%
T 3
21.4%
E 1
 
7.1%
J 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3378
98.5%
Latin 31
 
0.9%
Common 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 466
 
13.8%
린 419
 
12.4%
어 410
 
12.1%
집 407
 
12.0%
아 84
 
2.5%
라 69
 
2.0%
공 48
 
1.4%
립 46
 
1.4%
국 46
 
1.4%
리 41
 
1.2%
Other values (294) 1342
39.7%
Latin
ValueCountFrequency (%)
K 5
16.1%
e 4
12.9%
S 4
12.9%
i 4
12.9%
h 3
9.7%
T 3
9.7%
s 2
 
6.5%
m 2
 
6.5%
E 1
 
3.2%
J 1
 
3.2%
Other values (2) 2
 
6.5%
Common
ValueCountFrequency (%)
6
31.6%
2 4
21.1%
( 2
 
10.5%
- 2
 
10.5%
1 2
 
10.5%
) 2
 
10.5%
3 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3378
98.5%
ASCII 50
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 466
 
13.8%
린 419
 
12.4%
어 410
 
12.1%
집 407
 
12.0%
아 84
 
2.5%
라 69
 
2.0%
공 48
 
1.4%
립 46
 
1.4%
국 46
 
1.4%
리 41
 
1.2%
Other values (294) 1342
39.7%
ASCII
ValueCountFrequency (%)
6
12.0%
K 5
 
10.0%
e 4
 
8.0%
2 4
 
8.0%
S 4
 
8.0%
i 4
 
8.0%
h 3
 
6.0%
T 3
 
6.0%
s 2
 
4.0%
m 2
 
4.0%
Other values (9) 13
26.0%

행정동
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
아라동
61 
검암경서동
36 
청라1동
32 
청라2동
31 
청라3동
28 
Other values (18)
219 

Length

Max length5
Median length4
Mean length3.8329238
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원당동
2nd row석남2동
3rd row가정1동
4th row청라3동
5th row석남1동

Common Values

ValueCountFrequency (%)
아라동 61
15.0%
검암경서동 36
 
8.8%
청라1동 32
 
7.9%
청라2동 31
 
7.6%
청라3동 28
 
6.9%
가정1동 24
 
5.9%
당하동 23
 
5.7%
원당동 20
 
4.9%
검단동 18
 
4.4%
신현원창동 18
 
4.4%
Other values (13) 116
28.5%

Length

2023-12-12T17:57:04.979396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아라동 61
15.0%
검암경서동 36
 
8.8%
청라1동 32
 
7.9%
청라2동 31
 
7.6%
청라3동 28
 
6.9%
가정1동 24
 
5.9%
당하동 23
 
5.7%
원당동 20
 
4.9%
검단동 18
 
4.4%
신현원창동 18
 
4.4%
Other values (13) 116
28.5%

주소
Text

UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:57:05.287453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length33.412776
Min length15

Characters and Unicode

Total characters13599
Distinct characters298
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 고산후로161번안길 14 검단3동어린이집
2nd row인천광역시 서구 거북로 71 (석남동)
3rd row인천광역시 서구 가정로 437 103동 104호
4th row인천광역시 서구 솔빛로 93 (경서동, SK뷰) 507-102
5th row인천광역시 서구 율도로16번길 3
ValueCountFrequency (%)
인천광역시 411
 
16.3%
서구 411
 
16.3%
관리동 64
 
2.5%
104호 20
 
0.8%
101호 20
 
0.8%
청라커낼로 16
 
0.6%
서로3로 15
 
0.6%
103호 14
 
0.6%
검단로 14
 
0.6%
1층 13
 
0.5%
Other values (825) 1520
60.4%
2023-12-12T17:57:05.818054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2116
 
15.6%
1 660
 
4.9%
동 497
 
3.7%
서 486
 
3.6%
로 457
 
3.4%
시 435
 
3.2%
인 423
 
3.1%
0 422
 
3.1%
광 419
 
3.1%
역 415
 
3.1%
Other values (288) 7269
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8134
59.8%
Decimal Number 2683
 
19.7%
Space Separator 2116
 
15.6%
Close Punctuation 207
 
1.5%
Open Punctuation 207
 
1.5%
Other Punctuation 134
 
1.0%
Dash Punctuation 54
 
0.4%
Uppercase Letter 51
 
0.4%
Lowercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 497
 
6.1%
서 486
 
6.0%
로 457
 
5.6%
시 435
 
5.3%
인 423
 
5.2%
광 419
 
5.2%
역 415
 
5.1%
천 414
 
5.1%
구 413
 
5.1%
호 202
 
2.5%
Other values (249) 3973
48.8%
Uppercase Letter
ValueCountFrequency (%)
K 9
17.6%
S 8
15.7%
C 6
11.8%
L 5
9.8%
E 4
7.8%
H 4
7.8%
A 3
 
5.9%
I 2
 
3.9%
R 2
 
3.9%
G 2
 
3.9%
Other values (5) 6
11.8%
Decimal Number
ValueCountFrequency (%)
1 660
24.6%
0 422
15.7%
2 357
13.3%
3 296
11.0%
4 232
 
8.6%
5 183
 
6.8%
6 163
 
6.1%
7 136
 
5.1%
8 133
 
5.0%
9 101
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
c 2
15.4%
k 2
15.4%
s 2
15.4%
r 1
 
7.7%
d 1
 
7.7%
a 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 131
97.8%
. 2
 
1.5%
' 1
 
0.7%
Space Separator
ValueCountFrequency (%)
2116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8134
59.8%
Common 5401
39.7%
Latin 64
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 497
 
6.1%
서 486
 
6.0%
로 457
 
5.6%
시 435
 
5.3%
인 423
 
5.2%
광 419
 
5.2%
역 415
 
5.1%
천 414
 
5.1%
구 413
 
5.1%
호 202
 
2.5%
Other values (249) 3973
48.8%
Latin
ValueCountFrequency (%)
K 9
14.1%
S 8
12.5%
C 6
 
9.4%
L 5
 
7.8%
e 4
 
6.2%
E 4
 
6.2%
H 4
 
6.2%
A 3
 
4.7%
c 2
 
3.1%
k 2
 
3.1%
Other values (12) 17
26.6%
Common
ValueCountFrequency (%)
2116
39.2%
1 660
 
12.2%
0 422
 
7.8%
2 357
 
6.6%
3 296
 
5.5%
4 232
 
4.3%
) 207
 
3.8%
( 207
 
3.8%
5 183
 
3.4%
6 163
 
3.0%
Other values (7) 558
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8134
59.8%
ASCII 5465
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2116
38.7%
1 660
 
12.1%
0 422
 
7.7%
2 357
 
6.5%
3 296
 
5.4%
4 232
 
4.2%
) 207
 
3.8%
( 207
 
3.8%
5 183
 
3.3%
6 163
 
3.0%
Other values (29) 622
 
11.4%
Hangul
ValueCountFrequency (%)
동 497
 
6.1%
서 486
 
6.0%
로 457
 
5.6%
시 435
 
5.3%
인 423
 
5.2%
광 419
 
5.2%
역 415
 
5.1%
천 414
 
5.1%
구 413
 
5.1%
호 202
 
2.5%
Other values (249) 3973
48.8%

어린이집특성
Categorical

IMBALANCE 

Distinct12
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
일반
342 
야간연장
 
32
장애아통합
 
12
장애아통합,야간연장
 
8
일반,시간제보육
 
5
Other values (7)
 
8

Length

Max length16
Median length2
Mean length2.6191646
Min length2

Unique

Unique6 ?
Unique (%)1.5%

Sample

1st row장애아통합,야간연장,24시간
2nd row일반
3rd row일반
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
일반 342
84.0%
야간연장 32
 
7.9%
장애아통합 12
 
2.9%
장애아통합,야간연장 8
 
2.0%
일반,시간제보육 5
 
1.2%
장애아전문 2
 
0.5%
장애아통합,야간연장,24시간 1
 
0.2%
장애아통합,야간연장,시간제보육 1
 
0.2%
영아전담,야간연장 1
 
0.2%
야간연장,시간제보육 1
 
0.2%
Other values (2) 2
 
0.5%

Length

2023-12-12T17:57:06.039224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 342
84.0%
야간연장 32
 
7.9%
장애아통합 12
 
2.9%
장애아통합,야간연장 8
 
2.0%
일반,시간제보육 5
 
1.2%
장애아전문 2
 
0.5%
장애아통합,야간연장,24시간 1
 
0.2%
장애아통합,야간연장,시간제보육 1
 
0.2%
영아전담,야간연장 1
 
0.2%
야간연장,시간제보육 1
 
0.2%
Other values (2) 2
 
0.5%

평가참여(인증)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size539.0 B
True
351 
False
56 
ValueCountFrequency (%)
True 351
86.2%
False 56
 
13.8%
2023-12-12T17:57:06.218923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정원
Real number (ℝ)

Distinct102
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.353808
Minimum11
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T17:57:06.405535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile18
Q120
median23
Q358
95-th percentile127.9
Maximum300
Range289
Interquartile range (IQR)38

Descriptive statistics

Standard deviation43.794725
Coefficient of variation (CV)0.94479239
Kurtosis8.546514
Mean46.353808
Median Absolute Deviation (MAD)6
Skewness2.5793653
Sum18866
Variance1917.978
MonotonicityNot monotonic
2023-12-12T17:57:06.633939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 155
38.1%
19 20
 
4.9%
45 16
 
3.9%
18 10
 
2.5%
39 9
 
2.2%
98 6
 
1.5%
30 6
 
1.5%
36 5
 
1.2%
17 5
 
1.2%
120 5
 
1.2%
Other values (92) 170
41.8%
ValueCountFrequency (%)
11 1
 
0.2%
12 1
 
0.2%
15 3
 
0.7%
16 5
 
1.2%
17 5
 
1.2%
18 10
 
2.5%
19 20
 
4.9%
20 155
38.1%
21 2
 
0.5%
23 2
 
0.5%
ValueCountFrequency (%)
300 2
0.5%
250 1
0.2%
245 1
0.2%
230 1
0.2%
218 1
0.2%
200 1
0.2%
186 1
0.2%
185 1
0.2%
180 1
0.2%
174 1
0.2%

전화번호
Text

Distinct406
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size3.3 KiB
2023-12-12T17:57:06.969881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019704
Min length12

Characters and Unicode

Total characters4880
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

Unique406 ?
Unique (%)100.0%

Sample

1st row032-561-2139
2nd row032-577-2454
3rd row032-226-0114
4th row032-272-2017
5th row032-575-8880
ValueCountFrequency (%)
032-561-2139 1
 
0.2%
032-568-5055 1
 
0.2%
032-565-1151 1
 
0.2%
032-565-6421 1
 
0.2%
032-562-7977 1
 
0.2%
032-584-6215 1
 
0.2%
032-575-5485 1
 
0.2%
032-561-1547 1
 
0.2%
032-256-0026 1
 
0.2%
032-565-0915 1
 
0.2%
Other values (396) 396
97.5%
2023-12-12T17:57:07.439016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 812
16.6%
2 703
14.4%
0 664
13.6%
3 617
12.6%
5 552
11.3%
6 436
8.9%
7 335
6.9%
1 243
 
5.0%
8 196
 
4.0%
4 164
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4068
83.4%
Dash Punctuation 812
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 703
17.3%
0 664
16.3%
3 617
15.2%
5 552
13.6%
6 436
10.7%
7 335
8.2%
1 243
 
6.0%
8 196
 
4.8%
4 164
 
4.0%
9 158
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 812
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4880
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 812
16.6%
2 703
14.4%
0 664
13.6%
3 617
12.6%
5 552
11.3%
6 436
8.9%
7 335
6.9%
1 243
 
5.0%
8 196
 
4.0%
4 164
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 812
16.6%
2 703
14.4%
0 664
13.6%
3 617
12.6%
5 552
11.3%
6 436
8.9%
7 335
6.9%
1 243
 
5.0%
8 196
 
4.0%
4 164
 
3.4%

Interactions

2023-12-12T17:57:02.979698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:02.762174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:03.087825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:02.876851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:57:07.601095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번어린이집유형행정동어린이집특성평가참여(인증)정원
연번1.0000.4910.4110.2670.3190.351
어린이집유형0.4911.0000.4950.6670.3970.590
행정동0.4110.4951.0000.3880.6230.276
어린이집특성0.2670.6670.3881.0000.0000.298
평가참여(인증)0.3190.3970.6230.0001.0000.000
정원0.3510.5900.2760.2980.0001.000
2023-12-12T17:57:07.768142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동어린이집특성평가참여(인증)어린이집유형
행정동1.0000.1380.5350.244
어린이집특성0.1381.0000.0000.322
평가참여(인증)0.5350.0001.0000.284
어린이집유형0.2440.3220.2841.000
2023-12-12T17:57:07.879982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원어린이집유형행정동어린이집특성평가참여(인증)
연번1.000-0.1190.2830.1610.1140.242
정원-0.1191.0000.3590.1030.1290.000
어린이집유형0.2830.3591.0000.2440.3220.284
행정동0.1610.1030.2441.0000.1380.535
어린이집특성0.1140.1290.3220.1381.0000.000
평가참여(인증)0.2420.0000.2840.5350.0001.000

Missing values

2023-12-12T17:57:03.229300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:57:03.385655image/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

연번어린이집유형어린이집명행정동주소어린이집특성평가참여(인증)정원전화번호
01국공립(구립)검단평화어린이집원당동인천광역시 서구 고산후로161번안길 14 검단3동어린이집장애아통합,야간연장,24시간Y98032-561-2139
12민간JK글로벌어린이집석남2동인천광역시 서구 거북로 71 (석남동)일반Y130032-577-2454
23가정SK라온어린이집가정1동인천광역시 서구 가정로 437 103동 104호일반Y20032-226-0114
34가정SK에코어린이집청라3동인천광역시 서구 솔빛로 93 (경서동, SK뷰) 507-102일반Y20032-272-2017
45민간The꿈나무 어린이집석남1동인천광역시 서구 율도로16번길 3일반Y108032-575-8880
56민간The즐거운어린이집불로대곡동인천광역시 서구 검단로 832 신명아파트 관리소1층일반Y31032-566-8863
67민간The큰빛어린이집석남3동인천광역시 서구 서달로37번길 9 (석남동)야간연장Y96032-583-9765
78민간e-예빛어린이집검암경서동인천광역시 서구 경서로32번길 7-7 (경서동)일반Y150032-566-4118
89민간i푸른숲어린이집오류왕길동인천광역시 서구 봉화로 60-17 검단힐스테이트1단지아파트 관리동일반Y44032-562-1368
910민간가온어린이집원당동인천광역시 서구 고산로40번1길 10-2 (원당동 원당지구 50블럭 1롯트)일반Y101032-568-3379
연번어린이집유형어린이집명행정동주소어린이집특성평가참여(인증)정원전화번호
397398가정호반다솜어린이집청라2동인천광역시 서구 청라커낼로 163 호반베르디움 491동 106호일반Y20032-244-1014
398399가정호반베베어린이집가정1동인천광역시 서구 봉오재3로 75 104동 101호(가정동, 루원 호반베르디움 더센트럴)일반Y20032-266-3536
399400가정호반사랑어린이집청라2동인천광역시 서구 청라커낼로 163 492동 104호 (청라동,호반베르디움)일반Y20032-568-6228
400401가정호반샛별어린이집가정1동인천광역시 서구 봉오재3로 75 106동 101호(가정동, 호반베르디움)일반Y20032-562-6656
401402민간호수아이어린이집오류왕길동인천광역시 서구 봉화로 18 관리동(왕길동,드림파크어울림1단지 아파트)일반Y50032-565-2305
402403민간호정숲속어린이집검암경서동인천광역시 서구 경서로14번길 52일반Y180032-565-1850
403404민간홀리키즈어린이집청라2동인천광역시 서구 청라한울로 95 경서동 청라제일풍경채 관리동일반Y55032-568-8772
404405국공립회화나무어린이집신현원창동인천광역시 서구 가정로 387 신현이편한세상하늘채 102동102호야간연장Y20032-577-3522
405406가정효사랑어린이집당하동인천광역시 서구 청마로 124 505동104호 (당하동,KCC)일반Y20032-277-1401
406407민간힐사랑어린이집당하동인천광역시 서구 청마로34번길 6 (당하동 힐스테이트5차)일반Y29032-563-6767