Overview

Dataset statistics

Number of variables19
Number of observations1514
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory233.7 KiB
Average record size in memory158.1 B

Variable types

Numeric6
Categorical7
Text5
Boolean1

Dataset

Description전북특별자치도 야간보육어린이집 현황(2017. 8. 31. 기준)순번 시군명 어린이집명 유형 정원수 교직원수 도로명주소 전화번호 팩스번호 보육실수 놀이터수 CCTV수 통학차량 홈페이지 평가인증 야간보육 자료출처 공개여부 작성일
Author전북특별자치도
URLhttps://www.data.go.kr/data/15119196/fileData.do

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
정원수 is highly overall correlated with 교직원수 and 3 other fieldsHigh correlation
교직원수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
놀이터수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
CCTV수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 순번High correlation
보육실수 is highly skewed (γ1 = 38.90409357)Skewed
순번 has unique valuesUnique
놀이터수 has 804 (53.1%) zerosZeros
CCTV수 has 840 (55.5%) zerosZeros

Reproduction

Analysis started2024-03-14 20:23:38.411598
Analysis finished2024-03-14 20:23:52.186639
Duration13.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1514
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.5
Minimum1
Maximum1514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-15T05:23:52.376307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.65
Q1379.25
median757.5
Q31135.75
95-th percentile1438.35
Maximum1514
Range1513
Interquartile range (IQR)756.5

Descriptive statistics

Standard deviation437.19847
Coefficient of variation (CV)0.57715969
Kurtosis-1.2
Mean757.5
Median Absolute Deviation (MAD)378.5
Skewness0
Sum1146855
Variance191142.5
MonotonicityStrictly increasing
2024-03-15T05:23:52.793043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1007 1
 
0.1%
1016 1
 
0.1%
1015 1
 
0.1%
1014 1
 
0.1%
1013 1
 
0.1%
1012 1
 
0.1%
1011 1
 
0.1%
1010 1
 
0.1%
1009 1
 
0.1%
Other values (1504) 1504
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1514 1
0.1%
1513 1
0.1%
1512 1
0.1%
1511 1
0.1%
1510 1
0.1%
1509 1
0.1%
1508 1
0.1%
1507 1
0.1%
1506 1
0.1%
1505 1
0.1%

시군명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
전주시 완산구
358 
전주시 덕진구
298 
군산시
240 
익산시
238 
완주군
78 
Other values (10)
302 

Length

Max length7
Median length3
Mean length4.7331572
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 완산구 358
23.6%
전주시 덕진구 298
19.7%
군산시 240
15.9%
익산시 238
15.7%
완주군 78
 
5.2%
정읍시 78
 
5.2%
남원시 67
 
4.4%
김제시 54
 
3.6%
부안군 28
 
1.8%
고창군 25
 
1.7%
Other values (5) 50
 
3.3%

Length

2024-03-15T05:23:53.160197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 656
30.2%
완산구 358
16.5%
덕진구 298
13.7%
군산시 240
 
11.1%
익산시 238
 
11.0%
완주군 78
 
3.6%
정읍시 78
 
3.6%
남원시 67
 
3.1%
김제시 54
 
2.5%
부안군 28
 
1.3%
Other values (6) 75
 
3.5%

어린이집명
Text

Distinct1243
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:23:53.996741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.4577279
Min length5

Characters and Unicode

Total characters11291
Distinct characters477
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

Unique1067 ?
Unique (%)70.5%

Sample

1st row고수원광어린이집
2nd row고창보듬이나눔이어린이집
3rd row고창어린이집
4th row고창원광어린이집
5th row공음어린이집
ValueCountFrequency (%)
어린이집 56
 
3.5%
해바라기어린이집 7
 
0.4%
아이사랑어린이집 7
 
0.4%
아기별어린이집 6
 
0.4%
해맑은어린이집 5
 
0.3%
엄마사랑어린이집 5
 
0.3%
새싹어린이집 5
 
0.3%
행복한어린이집 5
 
0.3%
솔로몬어린이집 5
 
0.3%
사과나무어린이집 5
 
0.3%
Other values (1247) 1480
93.3%
2024-03-15T05:23:55.274608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1669
 
14.8%
린 1536
 
13.6%
어 1522
 
13.5%
집 1515
 
13.4%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (467) 4316
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11168
98.9%
Space Separator 72
 
0.6%
Uppercase Letter 33
 
0.3%
Decimal Number 7
 
0.1%
Lowercase Letter 5
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1669
 
14.9%
린 1536
 
13.8%
어 1522
 
13.6%
집 1515
 
13.6%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (442) 4193
37.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
18.2%
A 4
12.1%
E 3
9.1%
Y 3
9.1%
W 2
 
6.1%
O 2
 
6.1%
S 2
 
6.1%
Q 2
 
6.1%
N 2
 
6.1%
B 2
 
6.1%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
1 1
 
14.3%
3 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
60.0%
i 2
40.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11168
98.9%
Common 85
 
0.8%
Latin 38
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1669
 
14.9%
린 1536
 
13.8%
어 1522
 
13.6%
집 1515
 
13.6%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (442) 4193
37.5%
Latin
ValueCountFrequency (%)
C 6
15.8%
A 4
10.5%
E 3
 
7.9%
Y 3
 
7.9%
e 3
 
7.9%
i 2
 
5.3%
W 2
 
5.3%
O 2
 
5.3%
S 2
 
5.3%
Q 2
 
5.3%
Other values (7) 9
23.7%
Common
ValueCountFrequency (%)
72
84.7%
2 3
 
3.5%
- 2
 
2.4%
( 2
 
2.4%
) 2
 
2.4%
4 2
 
2.4%
1 1
 
1.2%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11168
98.9%
ASCII 123
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1669
 
14.9%
린 1536
 
13.8%
어 1522
 
13.6%
집 1515
 
13.6%
아 191
 
1.7%
사 119
 
1.1%
나 114
 
1.0%
랑 111
 
1.0%
리 105
 
0.9%
마 93
 
0.8%
Other values (442) 4193
37.5%
ASCII
ValueCountFrequency (%)
72
58.5%
C 6
 
4.9%
A 4
 
3.3%
E 3
 
2.4%
2 3
 
2.4%
Y 3
 
2.4%
e 3
 
2.4%
i 2
 
1.6%
W 2
 
1.6%
O 2
 
1.6%
Other values (15) 23
 
18.7%

유형
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
가정
700 
민간
492 
사회복지법인
144 
법인+단체+등
94 
국공립
 
58
Other values (2)
 
26

Length

Max length7
Median length2
Mean length2.7291942
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row사회복지법인
2nd row국공립
3rd row국공립
4th row법인+단체+등
5th row법인+단체+등

Common Values

ValueCountFrequency (%)
가정 700
46.2%
민간 492
32.5%
사회복지법인 144
 
9.5%
법인+단체+등 94
 
6.2%
국공립 58
 
3.8%
직장 25
 
1.7%
협동 1
 
0.1%

Length

2024-03-15T05:23:55.582033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:23:55.936929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 700
46.2%
민간 492
32.5%
사회복지법인 144
 
9.5%
법인+단체+등 94
 
6.2%
국공립 58
 
3.8%
직장 25
 
1.7%
협동 1
 
0.1%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.287979
Minimum9
Maximum422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-15T05:23:56.342406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile13
Q119
median28
Q367
95-th percentile121
Maximum422
Range413
Interquartile range (IQR)48

Descriptive statistics

Standard deviation40.576468
Coefficient of variation (CV)0.87660919
Kurtosis9.4663732
Mean46.287979
Median Absolute Deviation (MAD)13
Skewness2.3119621
Sum70080
Variance1646.4497
MonotonicityNot monotonic
2024-03-15T05:23:56.782124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 250
 
16.5%
19 206
 
13.6%
13 100
 
6.6%
99 60
 
4.0%
49 41
 
2.7%
39 39
 
2.6%
16 31
 
2.0%
18 30
 
2.0%
17 23
 
1.5%
11 21
 
1.4%
Other values (143) 713
47.1%
ValueCountFrequency (%)
9 1
 
0.1%
10 4
 
0.3%
11 21
 
1.4%
12 10
 
0.7%
13 100
6.6%
14 19
 
1.3%
15 10
 
0.7%
16 31
 
2.0%
17 23
 
1.5%
18 30
 
2.0%
ValueCountFrequency (%)
422 1
0.1%
300 1
0.1%
288 1
0.1%
265 1
0.1%
250 2
0.1%
245 1
0.1%
244 1
0.1%
240 1
0.1%
226 1
0.1%
214 1
0.1%

교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5911493
Minimum0
Maximum41
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-15T05:23:57.257649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median6
Q310
95-th percentile16
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6239928
Coefficient of variation (CV)0.60912948
Kurtosis5.0001452
Mean7.5911493
Median Absolute Deviation (MAD)2
Skewness1.6927129
Sum11493
Variance21.38131
MonotonicityNot monotonic
2024-03-15T05:23:57.693706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 241
15.9%
6 188
12.4%
4 171
11.3%
7 130
8.6%
3 122
8.1%
8 92
 
6.1%
9 87
 
5.7%
10 73
 
4.8%
11 72
 
4.8%
12 58
 
3.8%
Other values (23) 280
18.5%
ValueCountFrequency (%)
0 6
 
0.4%
1 18
 
1.2%
2 55
 
3.6%
3 122
8.1%
4 171
11.3%
5 241
15.9%
6 188
12.4%
7 130
8.6%
8 92
 
6.1%
9 87
 
5.7%
ValueCountFrequency (%)
41 1
 
0.1%
37 1
 
0.1%
34 1
 
0.1%
30 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
26 3
0.2%
25 1
 
0.1%
24 4
0.3%
23 4
0.3%

도로명주소
Text

Distinct1510
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:23:59.338234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length35.846764
Min length18

Characters and Unicode

Total characters54272
Distinct characters417
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1506 ?
Unique (%)99.5%

Sample

1st row전북특별자치도 고창군 고수면 고수농공단지길 61-2
2nd row전북특별자치도 고창군 고창읍 월곡뉴타운2길 20 고창보듬이나눔이 어린이집
3rd row전북특별자치도 고창군 고창읍 교촌1길 22
4th row전북특별자치도 고창군 고창읍 모양성로 104
5th row전북특별자치도 고창군 공음면 참나무정1길 26
ValueCountFrequency (%)
전북특별자치도 1517
 
15.6%
전주시 658
 
6.8%
완산구 358
 
3.7%
덕진구 300
 
3.1%
군산시 242
 
2.5%
익산시 239
 
2.5%
101동 89
 
0.9%
102동 84
 
0.9%
정읍시 79
 
0.8%
완주군 78
 
0.8%
Other values (2479) 6074
62.5%
2024-03-15T05:24:01.657846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8227
 
15.2%
1 2859
 
5.3%
전 2226
 
4.1%
동 2085
 
3.8%
자 1641
 
3.0%
도 1565
 
2.9%
북 1563
 
2.9%
0 1538
 
2.8%
치 1520
 
2.8%
별 1518
 
2.8%
Other values (407) 29530
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33790
62.3%
Decimal Number 9200
 
17.0%
Space Separator 8227
 
15.2%
Open Punctuation 996
 
1.8%
Close Punctuation 994
 
1.8%
Other Punctuation 640
 
1.2%
Dash Punctuation 392
 
0.7%
Uppercase Letter 23
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2226
 
6.6%
동 2085
 
6.2%
자 1641
 
4.9%
도 1565
 
4.6%
북 1563
 
4.6%
치 1520
 
4.5%
별 1518
 
4.5%
특 1517
 
4.5%
시 1404
 
4.2%
산 1147
 
3.4%
Other values (374) 17604
52.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
26.1%
C 3
13.0%
B 2
 
8.7%
H 2
 
8.7%
L 2
 
8.7%
I 2
 
8.7%
S 1
 
4.3%
K 1
 
4.3%
E 1
 
4.3%
O 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 2859
31.1%
0 1538
16.7%
2 1291
14.0%
3 911
 
9.9%
4 601
 
6.5%
5 535
 
5.8%
6 434
 
4.7%
7 392
 
4.3%
8 320
 
3.5%
9 319
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 631
98.6%
/ 6
 
0.9%
@ 2
 
0.3%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 996
100.0%
Close Punctuation
ValueCountFrequency (%)
) 994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33790
62.3%
Common 20450
37.7%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2226
 
6.6%
동 2085
 
6.2%
자 1641
 
4.9%
도 1565
 
4.6%
북 1563
 
4.6%
치 1520
 
4.5%
별 1518
 
4.5%
특 1517
 
4.5%
시 1404
 
4.2%
산 1147
 
3.4%
Other values (374) 17604
52.1%
Common
ValueCountFrequency (%)
8227
40.2%
1 2859
 
14.0%
0 1538
 
7.5%
2 1291
 
6.3%
( 996
 
4.9%
) 994
 
4.9%
3 911
 
4.5%
, 631
 
3.1%
4 601
 
2.9%
5 535
 
2.6%
Other values (9) 1867
 
9.1%
Latin
ValueCountFrequency (%)
e 8
25.0%
A 6
18.8%
C 3
 
9.4%
B 2
 
6.2%
H 2
 
6.2%
L 2
 
6.2%
I 2
 
6.2%
S 1
 
3.1%
K 1
 
3.1%
E 1
 
3.1%
Other values (4) 4
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33790
62.3%
ASCII 20481
37.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8227
40.2%
1 2859
 
14.0%
0 1538
 
7.5%
2 1291
 
6.3%
( 996
 
4.9%
) 994
 
4.9%
3 911
 
4.4%
, 631
 
3.1%
4 601
 
2.9%
5 535
 
2.6%
Other values (22) 1898
 
9.3%
Hangul
ValueCountFrequency (%)
전 2226
 
6.6%
동 2085
 
6.2%
자 1641
 
4.9%
도 1565
 
4.6%
북 1563
 
4.6%
치 1520
 
4.5%
별 1518
 
4.5%
특 1517
 
4.5%
시 1404
 
4.2%
산 1147
 
3.4%
Other values (374) 17604
52.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

전화번호
Text

Distinct1513
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:24:02.624489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01255
Min length12

Characters and Unicode

Total characters18187
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

Unique1512 ?
Unique (%)99.9%

Sample

1st row063-563-4768
2nd row063-564-0506
3rd row063-564-2012
4th row063-564-2501
5th row063-562-9125
ValueCountFrequency (%)
063-625-0151 2
 
0.1%
063-212-1618 1
 
0.1%
063-272-1559 1
 
0.1%
063-275-6815 1
 
0.1%
063-241-5560 1
 
0.1%
070-7551-1503 1
 
0.1%
063-245-2855 1
 
0.1%
063-255-6788 1
 
0.1%
063-245-0279 1
 
0.1%
063-254-9981 1
 
0.1%
Other values (1503) 1503
99.3%
2024-03-15T05:24:03.786515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3028
16.6%
3 2635
14.5%
6 2527
13.9%
0 2395
13.2%
2 1729
9.5%
5 1248
6.9%
4 1139
 
6.3%
8 954
 
5.2%
7 938
 
5.2%
1 934
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15159
83.4%
Dash Punctuation 3028
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2635
17.4%
6 2527
16.7%
0 2395
15.8%
2 1729
11.4%
5 1248
8.2%
4 1139
7.5%
8 954
 
6.3%
7 938
 
6.2%
1 934
 
6.2%
9 660
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 3028
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3028
16.6%
3 2635
14.5%
6 2527
13.9%
0 2395
13.2%
2 1729
9.5%
5 1248
6.9%
4 1139
 
6.3%
8 954
 
5.2%
7 938
 
5.2%
1 934
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3028
16.6%
3 2635
14.5%
6 2527
13.9%
0 2395
13.2%
2 1729
9.5%
5 1248
6.9%
4 1139
 
6.3%
8 954
 
5.2%
7 938
 
5.2%
1 934
 
5.1%

팩스번호
Text

Distinct1244
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:24:04.790756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.811757
Min length5

Characters and Unicode

Total characters16369
Distinct characters16
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

Unique1230 ?
Unique (%)81.2%

Sample

1st row063-563-4767
2nd row063-564-7506
3rd row063-564-2032
4th row063-564-2114
5th row063-562-9126
ValueCountFrequency (%)
팩스 256
 
14.5%
없음 256
 
14.5%
063 3
 
0.2%
063-633-6320 3
 
0.2%
063-225-6870 2
 
0.1%
063-228-7543 2
 
0.1%
063-212-9012 2
 
0.1%
063-547-1400 2
 
0.1%
063-633-0151 2
 
0.1%
063-212-0009 2
 
0.1%
Other values (1235) 1240
70.1%
2024-03-15T05:24:06.005987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2515
15.4%
3 2207
13.5%
6 2087
12.7%
0 1949
11.9%
2 1419
8.7%
4 983
 
6.0%
5 981
 
6.0%
8 804
 
4.9%
7 801
 
4.9%
1 761
 
4.6%
Other values (6) 1862
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12574
76.8%
Dash Punctuation 2515
 
15.4%
Other Letter 1024
 
6.3%
Space Separator 256
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2207
17.6%
6 2087
16.6%
0 1949
15.5%
2 1419
11.3%
4 983
7.8%
5 981
7.8%
8 804
 
6.4%
7 801
 
6.4%
1 761
 
6.1%
9 582
 
4.6%
Other Letter
ValueCountFrequency (%)
팩 256
25.0%
스 256
25.0%
없 256
25.0%
음 256
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2515
100.0%
Space Separator
ValueCountFrequency (%)
256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15345
93.7%
Hangul 1024
 
6.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2515
16.4%
3 2207
14.4%
6 2087
13.6%
0 1949
12.7%
2 1419
9.2%
4 983
 
6.4%
5 981
 
6.4%
8 804
 
5.2%
7 801
 
5.2%
1 761
 
5.0%
Other values (2) 838
 
5.5%
Hangul
ValueCountFrequency (%)
팩 256
25.0%
스 256
25.0%
없 256
25.0%
음 256
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15345
93.7%
Hangul 1024
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2515
16.4%
3 2207
14.4%
6 2087
13.6%
0 1949
12.7%
2 1419
9.2%
4 983
 
6.4%
5 981
 
6.4%
8 804
 
5.2%
7 801
 
5.2%
1 761
 
5.0%
Other values (2) 838
 
5.5%
Hangul
ValueCountFrequency (%)
팩 256
25.0%
스 256
25.0%
없 256
25.0%
음 256
25.0%

보육실수
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct18
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.006605
Minimum2
Maximum7933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-15T05:24:06.383499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q36
95-th percentile9
Maximum7933
Range7931
Interquartile range (IQR)3

Descriptive statistics

Standard deviation203.76793
Coefficient of variation (CV)20.363343
Kurtosis1513.6853
Mean10.006605
Median Absolute Deviation (MAD)1
Skewness38.904094
Sum15150
Variance41521.368
MonotonicityNot monotonic
2024-03-15T05:24:06.744430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 511
33.8%
3 396
26.2%
5 171
 
11.3%
6 162
 
10.7%
7 113
 
7.5%
8 58
 
3.8%
9 31
 
2.0%
2 23
 
1.5%
10 18
 
1.2%
11 12
 
0.8%
Other values (8) 19
 
1.3%
ValueCountFrequency (%)
2 23
 
1.5%
3 396
26.2%
4 511
33.8%
5 171
 
11.3%
6 162
 
10.7%
7 113
 
7.5%
8 58
 
3.8%
9 31
 
2.0%
10 18
 
1.2%
11 12
 
0.8%
ValueCountFrequency (%)
7933 1
 
0.1%
20 1
 
0.1%
18 1
 
0.1%
16 2
 
0.1%
15 4
 
0.3%
14 7
 
0.5%
13 2
 
0.1%
12 1
 
0.1%
11 12
0.8%
10 18
1.2%

놀이터수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.67239102
Minimum0
Maximum7
Zeros804
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-15T05:24:07.071337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89261712
Coefficient of variation (CV)1.3275268
Kurtosis4.5752366
Mean0.67239102
Median Absolute Deviation (MAD)0
Skewness1.73458
Sum1018
Variance0.79676533
MonotonicityNot monotonic
2024-03-15T05:24:07.376205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 804
53.1%
1 489
32.3%
2 162
 
10.7%
3 40
 
2.6%
4 13
 
0.9%
5 4
 
0.3%
7 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
0 804
53.1%
1 489
32.3%
2 162
 
10.7%
3 40
 
2.6%
4 13
 
0.9%
5 4
 
0.3%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 4
 
0.3%
4 13
 
0.9%
3 40
 
2.6%
2 162
 
10.7%
1 489
32.3%
0 804
53.1%

CCTV수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6664465
Minimum0
Maximum45
Zeros840
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2024-03-15T05:24:07.757734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile15
Maximum45
Range45
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4423953
Coefficient of variation (CV)1.4843788
Kurtosis5.2404366
Mean3.6664465
Median Absolute Deviation (MAD)0
Skewness1.9137136
Sum5551
Variance29.619667
MonotonicityNot monotonic
2024-03-15T05:24:08.137565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 840
55.5%
4 127
 
8.4%
8 91
 
6.0%
9 56
 
3.7%
6 40
 
2.6%
7 40
 
2.6%
16 37
 
2.4%
3 34
 
2.2%
12 33
 
2.2%
5 31
 
2.0%
Other values (20) 185
 
12.2%
ValueCountFrequency (%)
0 840
55.5%
1 29
 
1.9%
2 24
 
1.6%
3 34
 
2.2%
4 127
 
8.4%
5 31
 
2.0%
6 40
 
2.6%
7 40
 
2.6%
8 91
 
6.0%
9 56
 
3.7%
ValueCountFrequency (%)
45 1
 
0.1%
33 1
 
0.1%
32 3
0.2%
31 1
 
0.1%
28 2
 
0.1%
27 1
 
0.1%
25 2
 
0.1%
24 1
 
0.1%
22 4
0.3%
20 5
0.3%

통학차량
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
운영(신고)
1315 
미운영
199 

Length

Max length6
Median length6
Mean length5.6056803
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영(신고)
2nd row운영(신고)
3rd row운영(신고)
4th row운영(신고)
5th row운영(신고)

Common Values

ValueCountFrequency (%)
운영(신고) 1315
86.9%
미운영 199
 
13.1%

Length

2024-03-15T05:24:08.534045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:24:08.865007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 1315
86.9%
미운영 199
 
13.1%

홈페이지
Text

Distinct202
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:24:09.529843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length7
Mean length9.2542933
Min length6

Characters and Unicode

Total characters14011
Distinct characters65
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

Unique200 ?
Unique (%)13.2%

Sample

1st rowwww.gchks.or.kr
2nd rowhttp://cafe.naver.com/senuni
3rd row홈페이지 없음
4th rowhttp://wongc.or.kr
5th row홈페이지 없음
ValueCountFrequency (%)
홈페이지 1312
46.3%
없음 1312
46.3%
http://jnb-iks.cykids.net 3
 
0.1%
cykids.net 2
 
0.1%
2
 
0.1%
p01093 1
 
< 0.1%
www.gchks.or.kr 1
 
< 0.1%
jnb-ims.cykids.net~hm7158 1
 
< 0.1%
http://jnb-iks.cykids.net/~p01028 1
 
< 0.1%
http://cafe.daum.net/hywonkwang 1
 
< 0.1%
Other values (198) 198
 
7.0%
2024-03-15T05:24:10.787939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1320
 
9.4%
이 1314
 
9.4%
음 1314
 
9.4%
페 1313
 
9.4%
없 1312
 
9.4%
홈 1312
 
9.4%
지 1312
 
9.4%
. 420
 
3.0%
t 364
 
2.6%
/ 324
 
2.3%
Other values (55) 3706
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7889
56.3%
Lowercase Letter 3397
24.2%
Space Separator 1320
 
9.4%
Other Punctuation 856
 
6.1%
Decimal Number 492
 
3.5%
Dash Punctuation 32
 
0.2%
Math Symbol 19
 
0.1%
Uppercase Letter 5
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 364
 
10.7%
e 266
 
7.8%
n 260
 
7.7%
o 213
 
6.3%
w 210
 
6.2%
a 205
 
6.0%
c 195
 
5.7%
p 184
 
5.4%
h 159
 
4.7%
r 156
 
4.6%
Other values (16) 1185
34.9%
Other Letter
ValueCountFrequency (%)
이 1314
16.7%
음 1314
16.7%
페 1313
16.6%
없 1312
16.6%
홈 1312
16.6%
지 1312
16.6%
어 2
 
< 0.1%
린 2
 
< 0.1%
집 2
 
< 0.1%
참 1
 
< 0.1%
Other values (5) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 116
23.6%
3 92
18.7%
1 79
16.1%
6 56
11.4%
4 29
 
5.9%
7 27
 
5.5%
2 27
 
5.5%
8 27
 
5.5%
9 20
 
4.1%
5 19
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 420
49.1%
/ 324
37.9%
: 106
 
12.4%
, 3
 
0.4%
; 2
 
0.2%
? 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
Q 3
60.0%
R 1
 
20.0%
E 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 18
94.7%
= 1
 
5.3%
Space Separator
ValueCountFrequency (%)
1320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7889
56.3%
Latin 3402
24.3%
Common 2720
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 364
 
10.7%
e 266
 
7.8%
n 260
 
7.6%
o 213
 
6.3%
w 210
 
6.2%
a 205
 
6.0%
c 195
 
5.7%
p 184
 
5.4%
h 159
 
4.7%
r 156
 
4.6%
Other values (19) 1190
35.0%
Common
ValueCountFrequency (%)
1320
48.5%
. 420
 
15.4%
/ 324
 
11.9%
0 116
 
4.3%
: 106
 
3.9%
3 92
 
3.4%
1 79
 
2.9%
6 56
 
2.1%
- 32
 
1.2%
4 29
 
1.1%
Other values (11) 146
 
5.4%
Hangul
ValueCountFrequency (%)
이 1314
16.7%
음 1314
16.7%
페 1313
16.6%
없 1312
16.6%
홈 1312
16.6%
지 1312
16.6%
어 2
 
< 0.1%
린 2
 
< 0.1%
집 2
 
< 0.1%
참 1
 
< 0.1%
Other values (5) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7889
56.3%
ASCII 6122
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1320
21.6%
. 420
 
6.9%
t 364
 
5.9%
/ 324
 
5.3%
e 266
 
4.3%
n 260
 
4.2%
o 213
 
3.5%
w 210
 
3.4%
a 205
 
3.3%
c 195
 
3.2%
Other values (40) 2345
38.3%
Hangul
ValueCountFrequency (%)
이 1314
16.7%
음 1314
16.7%
페 1313
16.6%
없 1312
16.6%
홈 1312
16.6%
지 1312
16.6%
어 2
 
< 0.1%
린 2
 
< 0.1%
집 2
 
< 0.1%
참 1
 
< 0.1%
Other values (5) 5
 
0.1%

평가인증
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1334 
False
180 
ValueCountFrequency (%)
True 1334
88.1%
False 180
 
11.9%
2024-03-15T05:24:10.981823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

야간보육
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
미운영
1106 
운영
408 

Length

Max length3
Median length3
Mean length2.7305152
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미운영
2nd row운영
3rd row미운영
4th row미운영
5th row미운영

Common Values

ValueCountFrequency (%)
미운영 1106
73.1%
운영 408
 
26.9%

Length

2024-03-15T05:24:11.168615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:24:11.378001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 1106
73.1%
운영 408
 
26.9%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
사회복지과
1514 

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 1514
100.0%

Length

2024-03-15T05:24:11.807585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:24:12.124211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 1514
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
공개
1514 

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 1514
100.0%

Length

2024-03-15T05:24:12.446166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:24:12.622115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 1514
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2017-08-31
1514 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-08-31
2nd row2017-08-31
3rd row2017-08-31
4th row2017-08-31
5th row2017-08-31

Common Values

ValueCountFrequency (%)
2017-08-31 1514
100.0%

Length

2024-03-15T05:24:12.809934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:24:13.121824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-08-31 1514
100.0%

Interactions

2024-03-15T05:23:48.912781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:40.458685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:42.550234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:44.045410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:45.563517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:47.102883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:49.222358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:40.834203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:42.843605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:44.333256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:45.741416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:47.396109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:49.484061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:41.259848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:43.120162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:44.582664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:45.941549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:47.758398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:49.739046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:41.569300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:43.287689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:44.828383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:46.205032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:48.025662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:50.024707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:41.905786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:43.534139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:45.107256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:46.502601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:48.346689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:50.329472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:42.228642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:43.799670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:45.390395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:46.783745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:23:48.634689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:24:13.541724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명유형정원수교직원수보육실수놀이터수CCTV수통학차량평가인증야간보육
순번1.0000.9390.1690.1260.2210.0060.1880.0560.1730.0550.249
시군명0.9391.0000.3670.1500.0540.0000.2860.1170.1430.0550.293
유형0.1690.3671.0000.4750.5150.0000.4690.4240.2820.1540.166
정원수0.1260.1500.4751.0000.8110.0000.5360.8320.1770.0680.000
교직원수0.2210.0540.5150.8111.0000.0000.5020.6680.2920.3410.163
보육실수0.0060.0000.0000.0000.0001.0000.0000.0000.0000.0250.000
놀이터수0.1880.2860.4690.5360.5020.0001.0000.3700.2390.0910.075
CCTV수0.0560.1170.4240.8320.6680.0000.3701.0000.1460.1030.025
통학차량0.1730.1430.2820.1770.2920.0000.2390.1461.0000.2490.057
평가인증0.0550.0550.1540.0680.3410.0250.0910.1030.2491.0000.153
야간보육0.2490.2930.1660.0000.1630.0000.0750.0250.0570.1531.000
2024-03-15T05:24:13.931656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통학차량유형야간보육평가인증시군명
통학차량1.0000.3010.0360.1600.130
유형0.3011.0000.1780.1640.175
야간보육0.0360.1781.0000.0980.266
평가인증0.1600.1640.0981.0000.050
시군명0.1300.1750.2660.0501.000
2024-03-15T05:24:14.326529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번정원수교직원수보육실수놀이터수CCTV수시군명유형통학차량평가인증야간보육
순번1.000-0.107-0.141-0.133-0.025-0.0900.7110.0860.1320.0420.190
정원수-0.1071.0000.8110.7900.6690.6090.0610.2740.1760.0670.000
교직원수-0.1410.8111.0000.7100.5650.5750.0200.2910.2230.2610.125
보육실수-0.1330.7900.7101.0000.5900.5410.0000.0000.0000.0160.000
놀이터수-0.0250.6690.5650.5901.0000.4490.1260.2740.1790.0680.056
CCTV수-0.0900.6090.5750.5410.4491.0000.0360.2410.1060.0880.023
시군명0.7110.0610.0200.0000.1260.0361.0000.1750.1300.0500.266
유형0.0860.2740.2910.0000.2740.2410.1751.0000.3010.1640.178
통학차량0.1320.1760.2230.0000.1790.1060.1300.3011.0000.1600.036
평가인증0.0420.0670.2610.0160.0680.0880.0500.1640.1601.0000.098
야간보육0.1900.0000.1250.0000.0560.0230.2660.1780.0360.0981.000

Missing values

2024-03-15T05:23:50.821948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:23:51.891470image/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

순번시군명어린이집명유형정원수교직원수도로명주소전화번호팩스번호보육실수놀이터수CCTV수통학차량홈페이지평가인증야간보육자료출처공개여부작성일
01고창군고수원광어린이집사회복지법인8011전북특별자치도 고창군 고수면 고수농공단지길 61-2063-563-4768063-563-4767520운영(신고)www.gchks.or.krY미운영사회복지과공개2017-08-31
12고창군고창보듬이나눔이어린이집국공립9920전북특별자치도 고창군 고창읍 월곡뉴타운2길 20 고창보듬이나눔이 어린이집063-564-0506063-564-7506714운영(신고)http://cafe.naver.com/senuniY운영사회복지과공개2017-08-31
23고창군고창어린이집국공립457전북특별자치도 고창군 고창읍 교촌1길 22063-564-2012063-564-2032412운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
34고창군고창원광어린이집법인+단체+등6913전북특별자치도 고창군 고창읍 모양성로 104063-564-2501063-564-2114610운영(신고)http://wongc.or.krY미운영사회복지과공개2017-08-31
45고창군공음어린이집법인+단체+등497전북특별자치도 고창군 공음면 참나무정1길 26063-562-9125063-562-9126620운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
56고창군꿈나무어린이집민간9010전북특별자치도 고창군 흥덕면 문화1길 24-6063-563-4711063-562-23089116운영(신고)홈페이지 없음Y운영사회복지과공개2017-08-31
67고창군대산사랑어린이집법인+단체+등457전북특별자치도 고창군 대산면 공음대산로 914-3063-564-0450063-564-0451520운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
78고창군동화나라어린이집민간7010전북특별자치도 고창군 대산면 사거1길 72063-562-8509063-562-8856518운영(신고)홈페이지 없음Y운영사회복지과공개2017-08-31
89고창군무장제일어린이집법인+단체+등5710전북특별자치도 고창군 무장면 무장초등길 46063-562-9078063-563-9079510운영(신고)홈페이지 없음Y운영사회복지과공개2017-08-31
910고창군사임당 경안어린이집법인+단체+등4514전북특별자치도 고창군 고창읍 남정7길 17-1063-564-0431063-561-2983413운영(신고)town.cyworld.com/kyonganchildY운영사회복지과공개2017-08-31
순번시군명어린이집명유형정원수교직원수도로명주소전화번호팩스번호보육실수놀이터수CCTV수통학차량홈페이지평가인증야간보육자료출처공개여부작성일
15041505정읍시휴먼시아 세인어린이집민간249전북특별자치도 정읍시 학산로 89-72 상동 휴먼시아아파트 단지내063-537-1649063-538-9649424운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
15051506정읍시힘찬어린이집가정164전북특별자치도 정읍시 말고개길 73-5 101동 103호(구룡동, 영창파크타운)063-538-2091063-532-2091310운영(신고)홈페이지 없음Y운영사회복지과공개2017-08-31
15061507진안군마령어린이집국공립406전북특별자치도 진안군 마령면 솔안1길 8063-432-3322063-432-2323614운영(신고)홈페이지 없음Y운영사회복지과공개2017-08-31
15071508진안군사랑어린이집법인+단체+등749전북특별자치도 진안군 진안읍 대괭이길 40-57063-433-5295063-433-7296513운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
15081509진안군성화어린이집법인+단체+등648전북특별자치도 진안군 진안읍 당산길 19-7063-433-1859063-433-1977610운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
15091510진안군월랑원광어린이집법인+단체+등8810전북특별자치도 진안군 진안읍 중앙로 41063-433-0330063-433-6033520운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
15101511진안군전통생활어린이집민간392전북특별자치도 진안군 부귀면 운장로 28-9063-433-1936063-433-1936317운영(신고)홈페이지 없음N미운영사회복지과공개2017-08-31
15111512진안군좌포원광어린이집법인+단체+등355전북특별자치도 진안군 성수면 원좌길 33-12063-432-9072063-432-9078410운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31
15121513진안군진안어린이집국공립9914전북특별자치도 진안군 진안읍 중연길 20-12063-432-7778063-432-37787215운영(신고)홈페이지 없음Y운영사회복지과공개2017-08-31
15131514진안군진안제일어린이집법인+단체+등609전북특별자치도 진안군 진안읍 진장로 31-5063-432-2332063-432-7477417운영(신고)홈페이지 없음Y미운영사회복지과공개2017-08-31