Overview

Dataset statistics

Number of variables8
Number of observations281
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory66.5 B

Variable types

Categorical1
Text5
Numeric2

Dataset

Description대전광역시 서구 어린이집 현황 자료로 어린이집명, 유형, 주소, 연락처, 정원, 보육교직원 수, 대표자, 원장명을 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15007982/fileData.do

Alerts

정원 is highly overall correlated with 보육교직원현원High correlation
보육교직원현원 is highly overall correlated with 정원High correlation
어린이집 has unique valuesUnique

Reproduction

Analysis started2024-04-13 12:20:25.074094
Analysis finished2024-04-13 12:20:29.624161
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집유형
Categorical

Distinct7
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
가정
175 
민간
49 
국공립
34 
직장
 
13
사회복지법인
 
7
Other values (2)
 
3

Length

Max length6
Median length2
Mean length2.2348754
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
가정 175
62.3%
민간 49
 
17.4%
국공립 34
 
12.1%
직장 13
 
4.6%
사회복지법인 7
 
2.5%
협동 2
 
0.7%
법인·단체등 1
 
0.4%

Length

2024-04-13T21:20:29.864605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:20:30.232004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 175
62.3%
민간 49
 
17.4%
국공립 34
 
12.1%
직장 13
 
4.6%
사회복지법인 7
 
2.5%
협동 2
 
0.7%
법인·단체등 1
 
0.4%

어린이집
Text

UNIQUE 

Distinct281
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-13T21:20:31.054401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.4839858
Min length5

Characters and Unicode

Total characters2103
Distinct characters282
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

Unique281 ?
Unique (%)100.0%

Sample

1st rowIBK참!좋은어린이집
2nd row가장좋은어린이집
3rd row갈마어린이집
4th row갑천어린이집
5th row강변어린이집
ValueCountFrequency (%)
ibk참!좋은어린이집 1
 
0.4%
예인어린이집 1
 
0.4%
올리브어린이집 1
 
0.4%
온누리어린이집 1
 
0.4%
오른발왼발어린이집 1
 
0.4%
오렌지어린이집 1
 
0.4%
월평꿈나무어린이집 1
 
0.4%
예지어린이집 1
 
0.4%
예은어린이집 1
 
0.4%
우리어린이집 1
 
0.4%
Other values (272) 272
96.5%
2024-04-13T21:20:32.264595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 321
15.3%
린 290
 
13.8%
어 283
 
13.5%
집 281
 
13.4%
아 39
 
1.9%
나 20
 
1.0%
랑 19
 
0.9%
사 18
 
0.9%
리 17
 
0.8%
마 17
 
0.8%
Other values (272) 798
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2098
99.8%
Uppercase Letter 3
 
0.1%
Space Separator 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 321
15.3%
린 290
 
13.8%
어 283
 
13.5%
집 281
 
13.4%
아 39
 
1.9%
나 20
 
1.0%
랑 19
 
0.9%
사 18
 
0.9%
리 17
 
0.8%
마 17
 
0.8%
Other values (267) 793
37.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
B 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2098
99.8%
Latin 3
 
0.1%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 321
15.3%
린 290
 
13.8%
어 283
 
13.5%
집 281
 
13.4%
아 39
 
1.9%
나 20
 
1.0%
랑 19
 
0.9%
사 18
 
0.9%
리 17
 
0.8%
마 17
 
0.8%
Other values (267) 793
37.8%
Latin
ValueCountFrequency (%)
I 1
33.3%
B 1
33.3%
K 1
33.3%
Common
ValueCountFrequency (%)
1
50.0%
! 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2098
99.8%
ASCII 5
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 321
15.3%
린 290
 
13.8%
어 283
 
13.5%
집 281
 
13.4%
아 39
 
1.9%
나 20
 
1.0%
랑 19
 
0.9%
사 18
 
0.9%
리 17
 
0.8%
마 17
 
0.8%
Other values (267) 793
37.8%
ASCII
ValueCountFrequency (%)
I 1
20.0%
1
20.0%
B 1
20.0%
! 1
20.0%
K 1
20.0%

주소
Text

Distinct280
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-13T21:20:33.293483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length35.928826
Min length15

Characters and Unicode

Total characters10096
Distinct characters218
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

Unique279 ?
Unique (%)99.3%

Sample

1st row대전광역시 서구 둔산남로 112 IBK기업은행 2층
2nd row대전광역시 서구 가장로 107 208동 101호 (가장동, 삼성래미안아파트)
3rd row대전광역시 서구 신갈마로 95 관리동 (갈마동, 갈마아파트)
4th row대전광역시 서구 만년로 25 101동 101호 (만년동, 강변아파트)
5th row대전광역시 서구 만년로 25 (만년동, 강변아파트)
ValueCountFrequency (%)
대전광역시 281
 
14.1%
서구 281
 
14.1%
관저동 50
 
2.5%
101호 40
 
2.0%
103호 31
 
1.6%
둔산동 28
 
1.4%
104호 27
 
1.4%
청사로 23
 
1.2%
월평동 23
 
1.2%
도안동로 22
 
1.1%
Other values (441) 1191
59.6%
2024-04-13T21:20:34.812160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1716
 
17.0%
1 621
 
6.2%
동 490
 
4.9%
0 382
 
3.8%
대 311
 
3.1%
구 309
 
3.1%
서 305
 
3.0%
전 285
 
2.8%
시 282
 
2.8%
광 281
 
2.8%
Other values (208) 5114
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5715
56.6%
Decimal Number 1929
 
19.1%
Space Separator 1716
 
17.0%
Open Punctuation 254
 
2.5%
Close Punctuation 254
 
2.5%
Other Punctuation 202
 
2.0%
Dash Punctuation 17
 
0.2%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 490
 
8.6%
대 311
 
5.4%
구 309
 
5.4%
서 305
 
5.3%
전 285
 
5.0%
시 282
 
4.9%
광 281
 
4.9%
역 281
 
4.9%
로 278
 
4.9%
아 183
 
3.2%
Other values (188) 2710
47.4%
Decimal Number
ValueCountFrequency (%)
1 621
32.2%
0 382
19.8%
2 187
 
9.7%
5 149
 
7.7%
3 118
 
6.1%
4 117
 
6.1%
8 112
 
5.8%
7 94
 
4.9%
6 89
 
4.6%
9 60
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
I 1
20.0%
S 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
1716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Other Punctuation
ValueCountFrequency (%)
, 202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5715
56.6%
Common 4372
43.3%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 490
 
8.6%
대 311
 
5.4%
구 309
 
5.4%
서 305
 
5.3%
전 285
 
5.0%
시 282
 
4.9%
광 281
 
4.9%
역 281
 
4.9%
로 278
 
4.9%
아 183
 
3.2%
Other values (188) 2710
47.4%
Common
ValueCountFrequency (%)
1716
39.2%
1 621
 
14.2%
0 382
 
8.7%
( 254
 
5.8%
) 254
 
5.8%
, 202
 
4.6%
2 187
 
4.3%
5 149
 
3.4%
3 118
 
2.7%
4 117
 
2.7%
Other values (5) 372
 
8.5%
Latin
ValueCountFrequency (%)
e 4
44.4%
K 2
22.2%
I 1
 
11.1%
S 1
 
11.1%
B 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5715
56.6%
ASCII 4381
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1716
39.2%
1 621
 
14.2%
0 382
 
8.7%
( 254
 
5.8%
) 254
 
5.8%
, 202
 
4.6%
2 187
 
4.3%
5 149
 
3.4%
3 118
 
2.7%
4 117
 
2.7%
Other values (10) 381
 
8.7%
Hangul
ValueCountFrequency (%)
동 490
 
8.6%
대 311
 
5.4%
구 309
 
5.4%
서 305
 
5.3%
전 285
 
5.0%
시 282
 
4.9%
광 281
 
4.9%
역 281
 
4.9%
로 278
 
4.9%
아 183
 
3.2%
Other values (188) 2710
47.4%

대표자
Text

Distinct237
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-13T21:20:36.077348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length4.0604982
Min length2

Characters and Unicode

Total characters1141
Distinct characters144
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)79.7%

Sample

1st row중소기업은행장
2nd row안은선
3rd row박성자
4th row임계숙
5th row김윤희
ValueCountFrequency (%)
대전광역시 28
 
9.0%
서구청장 28
 
9.0%
대전광역시장 3
 
1.0%
대전청사관리소장 3
 
1.0%
대전광역시서구청장 3
 
1.0%
김경애 3
 
1.0%
이명희 3
 
1.0%
최은주 2
 
0.6%
김은희 2
 
0.6%
이순애 2
 
0.6%
Other values (231) 235
75.3%
2024-04-13T21:20:37.775279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 48
 
4.2%
대 46
 
4.0%
김 45
 
3.9%
장 45
 
3.9%
이 42
 
3.7%
시 37
 
3.2%
청 37
 
3.2%
광 35
 
3.1%
역 35
 
3.1%
서 35
 
3.1%
Other values (134) 736
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1110
97.3%
Space Separator 31
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 48
 
4.3%
대 46
 
4.1%
김 45
 
4.1%
장 45
 
4.1%
이 42
 
3.8%
시 37
 
3.3%
청 37
 
3.3%
광 35
 
3.2%
역 35
 
3.2%
서 35
 
3.2%
Other values (133) 705
63.5%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1110
97.3%
Common 31
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 48
 
4.3%
대 46
 
4.1%
김 45
 
4.1%
장 45
 
4.1%
이 42
 
3.8%
시 37
 
3.3%
청 37
 
3.3%
광 35
 
3.2%
역 35
 
3.2%
서 35
 
3.2%
Other values (133) 705
63.5%
Common
ValueCountFrequency (%)
31
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1110
97.3%
ASCII 31
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 48
 
4.3%
대 46
 
4.1%
김 45
 
4.1%
장 45
 
4.1%
이 42
 
3.8%
시 37
 
3.3%
청 37
 
3.3%
광 35
 
3.2%
역 35
 
3.2%
서 35
 
3.2%
Other values (133) 705
63.5%
ASCII
ValueCountFrequency (%)
31
100.0%

원장
Text

Distinct265
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-13T21:20:39.116873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9964413
Min length2

Characters and Unicode

Total characters842
Distinct characters119
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)89.7%

Sample

1st row이윤선
2nd row안은선
3rd row박성자
4th row장은정
5th row김윤희
ValueCountFrequency (%)
이명희 3
 
1.1%
이영숙 3
 
1.1%
김경애 3
 
1.1%
김미옥 2
 
0.7%
이윤선 2
 
0.7%
김은희 2
 
0.7%
이순애 2
 
0.7%
이은숙 2
 
0.7%
최은주 2
 
0.7%
김미라 2
 
0.7%
Other values (255) 258
91.8%
2024-04-13T21:20:40.836476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 52
 
6.2%
이 49
 
5.8%
미 42
 
5.0%
은 39
 
4.6%
정 36
 
4.3%
경 31
 
3.7%
숙 31
 
3.7%
희 30
 
3.6%
영 27
 
3.2%
순 26
 
3.1%
Other values (109) 479
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 52
 
6.2%
이 49
 
5.8%
미 42
 
5.0%
은 39
 
4.6%
정 36
 
4.3%
경 31
 
3.7%
숙 31
 
3.7%
희 30
 
3.6%
영 27
 
3.2%
순 26
 
3.1%
Other values (109) 479
56.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 52
 
6.2%
이 49
 
5.8%
미 42
 
5.0%
은 39
 
4.6%
정 36
 
4.3%
경 31
 
3.7%
숙 31
 
3.7%
희 30
 
3.6%
영 27
 
3.2%
순 26
 
3.1%
Other values (109) 479
56.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 52
 
6.2%
이 49
 
5.8%
미 42
 
5.0%
은 39
 
4.6%
정 36
 
4.3%
경 31
 
3.7%
숙 31
 
3.7%
희 30
 
3.6%
영 27
 
3.2%
순 26
 
3.1%
Other values (109) 479
56.9%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.800712
Minimum11
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-13T21:20:41.250565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile16
Q120
median20
Q344
95-th percentile93
Maximum300
Range289
Interquartile range (IQR)24

Descriptive statistics

Standard deviation33.998679
Coefficient of variation (CV)0.94966488
Kurtosis18.243484
Mean35.800712
Median Absolute Deviation (MAD)1
Skewness3.5859734
Sum10060
Variance1155.9101
MonotonicityNot monotonic
2024-04-13T21:20:41.685950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 128
45.6%
19 21
 
7.5%
18 19
 
6.8%
15 7
 
2.5%
49 5
 
1.8%
14 4
 
1.4%
28 4
 
1.4%
59 3
 
1.1%
54 3
 
1.1%
39 3
 
1.1%
Other values (56) 84
29.9%
ValueCountFrequency (%)
11 1
 
0.4%
12 1
 
0.4%
14 4
 
1.4%
15 7
 
2.5%
16 2
 
0.7%
17 1
 
0.4%
18 19
 
6.8%
19 21
 
7.5%
20 128
45.6%
24 1
 
0.4%
ValueCountFrequency (%)
300 1
0.4%
207 1
0.4%
200 2
0.7%
139 1
0.4%
138 1
0.4%
127 1
0.4%
119 1
0.4%
117 1
0.4%
114 1
0.4%
111 1
0.4%

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0320285
Minimum0
Maximum56
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-13T21:20:42.241582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median7
Q310
95-th percentile19
Maximum56
Range56
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.4122405
Coefficient of variation (CV)0.70994467
Kurtosis21.67645
Mean9.0320285
Median Absolute Deviation (MAD)2
Skewness3.7633102
Sum2538
Variance41.116828
MonotonicityNot monotonic
2024-04-13T21:20:42.609639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7 52
18.5%
6 49
17.4%
8 37
13.2%
5 22
 
7.8%
9 14
 
5.0%
4 13
 
4.6%
12 9
 
3.2%
10 9
 
3.2%
11 9
 
3.2%
14 9
 
3.2%
Other values (19) 58
20.6%
ValueCountFrequency (%)
0 1
 
0.4%
1 6
 
2.1%
2 1
 
0.4%
3 8
 
2.8%
4 13
 
4.6%
5 22
7.8%
6 49
17.4%
7 52
18.5%
8 37
13.2%
9 14
 
5.0%
ValueCountFrequency (%)
56 1
 
0.4%
53 1
 
0.4%
48 1
 
0.4%
26 1
 
0.4%
25 1
 
0.4%
24 2
0.7%
22 1
 
0.4%
21 4
1.4%
20 2
0.7%
19 1
 
0.4%

전화번호
Text

Distinct279
Distinct (%)100.0%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
2024-04-13T21:20:43.466105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014337
Min length12

Characters and Unicode

Total characters3352
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

Unique279 ?
Unique (%)100.0%

Sample

1st row042-471-4328
2nd row042-535-7955
3rd row042-535-5732
4th row042-483-2399
5th row042-484-8144
ValueCountFrequency (%)
042-484-0032 1
 
0.4%
042-541-6988 1
 
0.4%
042-542-3428 1
 
0.4%
042-544-2279 1
 
0.4%
042-532-3355 1
 
0.4%
042-537-0614 1
 
0.4%
042-486-2234 1
 
0.4%
042-362-8482 1
 
0.4%
042-544-1853 1
 
0.4%
042-533-6264 1
 
0.4%
Other values (269) 269
96.4%
2024-04-13T21:20:44.714756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 558
16.6%
4 548
16.3%
2 484
14.4%
0 446
13.3%
5 343
10.2%
3 239
7.1%
8 232
6.9%
1 143
 
4.3%
7 141
 
4.2%
6 122
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2794
83.4%
Dash Punctuation 558
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 548
19.6%
2 484
17.3%
0 446
16.0%
5 343
12.3%
3 239
8.6%
8 232
8.3%
1 143
 
5.1%
7 141
 
5.0%
6 122
 
4.4%
9 96
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 558
16.6%
4 548
16.3%
2 484
14.4%
0 446
13.3%
5 343
10.2%
3 239
7.1%
8 232
6.9%
1 143
 
4.3%
7 141
 
4.2%
6 122
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 558
16.6%
4 548
16.3%
2 484
14.4%
0 446
13.3%
5 343
10.2%
3 239
7.1%
8 232
6.9%
1 143
 
4.3%
7 141
 
4.2%
6 122
 
3.6%

Interactions

2024-04-13T21:20:28.448297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:20:27.940757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:20:28.699320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:20:28.199936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:20:44.970808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형정원보육교직원현원
어린이집유형1.0000.7630.752
정원0.7631.0000.935
보육교직원현원0.7520.9351.000
2024-04-13T21:20:45.210498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원보육교직원현원어린이집유형
정원1.0000.6490.360
보육교직원현원0.6491.0000.351
어린이집유형0.3600.3511.000

Missing values

2024-04-13T21:20:29.036402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:20:29.451806image/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

어린이집유형어린이집주소대표자원장정원보육교직원현원전화번호
0직장IBK참!좋은어린이집대전광역시 서구 둔산남로 112 IBK기업은행 2층중소기업은행장이윤선406042-471-4328
1가정가장좋은어린이집대전광역시 서구 가장로 107 208동 101호 (가장동, 삼성래미안아파트)안은선안은선207042-535-7955
2민간갈마어린이집대전광역시 서구 신갈마로 95 관리동 (갈마동, 갈마아파트)박성자박성자497042-535-5732
3가정갑천어린이집대전광역시 서구 만년로 25 101동 101호 (만년동, 강변아파트)임계숙장은정205042-483-2399
4민간강변어린이집대전광역시 서구 만년로 25 (만년동, 강변아파트)김윤희김윤희3812042-484-8144
5직장건양어린이집대전광역시 서구 관저동로 158 (가수원동)건양교육재단 이사장조민희11721042-600-6501
6가정경성햇살어린이집대전광역시 서구 대덕대로 150 126동 108호 (갈마동, 큰마을아파트)이은숙이은숙205042-362-4309
7가정고우나어린이집대전광역시 서구 대덕대로 415 107동 106호 (만년동, 상아아파트)심상희심상희197042-487-3503
8가정고운맘어린이집대전광역시 서구 만년남로 8 108동 108호 (만년동, 상록수아파트)안진희안진희153042-484-0032
9가정곰곰이어린이집대전광역시 서구 도안동로 177 102동 104호 (도안동, 수목토아파트)최은주최은주207042-545-5577
어린이집유형어린이집주소대표자원장정원보육교직원현원전화번호
271가정행복가득어린이집대전광역시 서구 복수서로 15 102동 104호 (복수동, 복수센트럴자이)오선희오선희184042-320-6353
272가정향촌꼬마숲어린이집대전광역시 서구 둔산로 15 109동 103호 (둔산동,향촌아파트)임유미송정연208042-488-7877
273가정헬로아트베베어린이집대전광역시 서구 관저서로 20 910동 103호(관저동, 구봉마을9단지)한우영김윤경196042-543-8826
274가정현어린이집대전광역시 서구 문예로 174 114동 101호(둔산동, 샘머리아파트1단지)나순덕나순덕194042-487-8627
275가정호반별꽃어린이집대전광역시 서구 원도안로 100 101동 101호 (도안동, 도안베르디움아파트)윤갑현김은경207042-543-8990
276가정호반숲어린이집대전광역시 서구 원도안로 100 110동 102호 (도안동, 도안베르디움)고해경고해경208042-541-1020
277국공립호수어린이집대전광역시 서구 도안동로 182-20 대전호수초등학교대전광역시 서구청장박근혜5214042-546-3088
278민간효성열린어린이집대전광역시 서구 도산로 11 관리소 1층 (도마동, 효성타운아파트)김경애김경애366042-582-5004
279국공립휴리움어린이집대전광역시 서구 신갈마로 186 관리동 (갈마동, 갤러리휴리움아파트)대전광역시 서구청장김진선289042-522-3350
280사회복지법인흑석어린이집대전광역시 서구 조련길 67 (흑석동)김재춘이아정2811042-585-3284