Overview

Dataset statistics

Number of variables10
Number of observations34
Missing cells9
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory85.9 B

Variable types

Numeric2
Categorical1
Text5
DateTime2

Dataset

Description대전광역시 서구 공공형 어린이집 지정현황 입니다.(순번, 어린이집유형, 아동정원, 어린이집명, 주소, 행정동명, 원장, 유효기간시작일, 유효기간종료일, 비고)
URLhttps://www.data.go.kr/data/15104511/fileData.do

Alerts

아동정원 is highly overall correlated with 어린이집유형High correlation
어린이집유형 is highly overall correlated with 아동정원High correlation
순번 has 1 (2.9%) missing valuesMissing
아동정원 has 1 (2.9%) missing valuesMissing
어린이집명 has 1 (2.9%) missing valuesMissing
주소 has 1 (2.9%) missing valuesMissing
행정동명 has 1 (2.9%) missing valuesMissing
법정동명 has 1 (2.9%) missing valuesMissing
원장 has 1 (2.9%) missing valuesMissing
유효기간시작일 has 1 (2.9%) missing valuesMissing
유효기간종료일 has 1 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:23:05.967717
Analysis finished2023-12-12 21:23:07.246150
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T06:23:07.326159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-13T06:23:07.463633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
2.9%
26 1
 
2.9%
20 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
27 1
 
2.9%
2 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%
24 1
2.9%

어린이집유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
가정
20 
민간
13 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0588235
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
가정 20
58.8%
민간 13
38.2%
<NA> 1
 
2.9%

Length

2023-12-13T06:23:07.595159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:23:07.702201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 20
58.8%
민간 13
38.2%
na 1
 
2.9%

아동정원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct16
Distinct (%)48.5%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean44.848485
Minimum18
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T06:23:07.802174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile19
Q120
median20
Q363
95-th percentile107.2
Maximum207
Range189
Interquartile range (IQR)43

Descriptive statistics

Standard deviation41.564048
Coefficient of variation (CV)0.92676593
Kurtosis6.3242189
Mean44.848485
Median Absolute Deviation (MAD)0
Skewness2.2704371
Sum1480
Variance1727.5701
MonotonicityNot monotonic
2023-12-13T06:23:07.921965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20 17
50.0%
19 2
 
5.9%
38 1
 
2.9%
53 1
 
2.9%
63 1
 
2.9%
127 1
 
2.9%
51 1
 
2.9%
80 1
 
2.9%
94 1
 
2.9%
18 1
 
2.9%
Other values (6) 6
 
17.6%
ValueCountFrequency (%)
18 1
 
2.9%
19 2
 
5.9%
20 17
50.0%
38 1
 
2.9%
49 1
 
2.9%
51 1
 
2.9%
53 1
 
2.9%
63 1
 
2.9%
66 1
 
2.9%
75 1
 
2.9%
ValueCountFrequency (%)
207 1
2.9%
127 1
2.9%
94 1
2.9%
93 1
2.9%
88 1
2.9%
80 1
2.9%
75 1
2.9%
66 1
2.9%
63 1
2.9%
53 1
2.9%

어린이집명
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-13T06:23:08.159779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.2727273
Min length6

Characters and Unicode

Total characters240
Distinct characters76
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

Unique33 ?
Unique (%)100.0%

Sample

1st row강변어린이집
2nd row구슬어린이집
3rd row꼬마사랑어린이집
4th row꾸러기어린이집
5th row대전아이사랑어린이집
ValueCountFrequency (%)
강변어린이집 1
 
3.0%
우미어린이집 1
 
3.0%
은하수어린이집 1
 
3.0%
이레어린이집 1
 
3.0%
일곱색깔어린이집 1
 
3.0%
작은천국어린이집 1
 
3.0%
크로바어린이집 1
 
3.0%
키즈아일랜드어린이집 1
 
3.0%
구슬어린이집 1
 
3.0%
포근한어린이집 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T06:23:08.562975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 36
15.0%
린 34
14.2%
어 33
13.8%
집 33
13.8%
랑 5
 
2.1%
사 4
 
1.7%
아 4
 
1.7%
은 4
 
1.7%
리 3
 
1.2%
그 3
 
1.2%
Other values (66) 81
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
15.0%
린 34
14.2%
어 33
13.8%
집 33
13.8%
랑 5
 
2.1%
사 4
 
1.7%
아 4
 
1.7%
은 4
 
1.7%
리 3
 
1.2%
그 3
 
1.2%
Other values (66) 81
33.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
15.0%
린 34
14.2%
어 33
13.8%
집 33
13.8%
랑 5
 
2.1%
사 4
 
1.7%
아 4
 
1.7%
은 4
 
1.7%
리 3
 
1.2%
그 3
 
1.2%
Other values (66) 81
33.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 36
15.0%
린 34
14.2%
어 33
13.8%
집 33
13.8%
랑 5
 
2.1%
사 4
 
1.7%
아 4
 
1.7%
은 4
 
1.7%
리 3
 
1.2%
그 3
 
1.2%
Other values (66) 81
33.8%

주소
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-13T06:23:08.847496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length35.363636
Min length21

Characters and Unicode

Total characters1167
Distinct characters122
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 만년로 25 (만년동, 강변아파트)
2nd row대전광역시 서구 가장로 106 110동 104호 (가장동, 삼성래미안아파트)
3rd row대전광역시 서구 동서대로 967 2동 101호 (내동, 코오롱아파트)
4th row대전광역시 서구 갈마로117번길 52 (갈마동)
5th row대전광역시 서구 도솔로 214 (변동)
ValueCountFrequency (%)
대전광역시 33
 
14.3%
서구 33
 
14.3%
둔산동 8
 
3.5%
103호 6
 
2.6%
110동 5
 
2.2%
101호 4
 
1.7%
관저동 4
 
1.7%
104호 4
 
1.7%
둔산남로 4
 
1.7%
15 3
 
1.3%
Other values (104) 127
55.0%
2023-12-13T06:23:09.266248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
17.0%
1 82
 
7.0%
동 56
 
4.8%
0 42
 
3.6%
대 36
 
3.1%
서 35
 
3.0%
구 34
 
2.9%
로 33
 
2.8%
) 33
 
2.8%
( 33
 
2.8%
Other values (112) 585
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 656
56.2%
Decimal Number 222
 
19.0%
Space Separator 198
 
17.0%
Close Punctuation 33
 
2.8%
Open Punctuation 33
 
2.8%
Other Punctuation 23
 
2.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
8.5%
대 36
 
5.5%
서 35
 
5.3%
구 34
 
5.2%
로 33
 
5.0%
역 33
 
5.0%
광 33
 
5.0%
전 33
 
5.0%
시 33
 
5.0%
아 22
 
3.4%
Other values (97) 308
47.0%
Decimal Number
ValueCountFrequency (%)
1 82
36.9%
0 42
18.9%
2 19
 
8.6%
3 17
 
7.7%
7 14
 
6.3%
5 14
 
6.3%
4 11
 
5.0%
8 10
 
4.5%
9 8
 
3.6%
6 5
 
2.3%
Space Separator
ValueCountFrequency (%)
198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 656
56.2%
Common 511
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
8.5%
대 36
 
5.5%
서 35
 
5.3%
구 34
 
5.2%
로 33
 
5.0%
역 33
 
5.0%
광 33
 
5.0%
전 33
 
5.0%
시 33
 
5.0%
아 22
 
3.4%
Other values (97) 308
47.0%
Common
ValueCountFrequency (%)
198
38.7%
1 82
16.0%
0 42
 
8.2%
) 33
 
6.5%
( 33
 
6.5%
, 23
 
4.5%
2 19
 
3.7%
3 17
 
3.3%
7 14
 
2.7%
5 14
 
2.7%
Other values (5) 36
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 656
56.2%
ASCII 511
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
38.7%
1 82
16.0%
0 42
 
8.2%
) 33
 
6.5%
( 33
 
6.5%
, 23
 
4.5%
2 19
 
3.7%
3 17
 
3.3%
7 14
 
2.7%
5 14
 
2.7%
Other values (5) 36
 
7.0%
Hangul
ValueCountFrequency (%)
동 56
 
8.5%
대 36
 
5.5%
서 35
 
5.3%
구 34
 
5.2%
로 33
 
5.0%
역 33
 
5.0%
광 33
 
5.0%
전 33
 
5.0%
시 33
 
5.0%
아 22
 
3.4%
Other values (97) 308
47.0%

행정동명
Text

MISSING 

Distinct19
Distinct (%)57.6%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-13T06:23:09.474789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5151515
Min length2

Characters and Unicode

Total characters116
Distinct characters29
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

Unique13 ?
Unique (%)39.4%

Sample

1st row만년동
2nd row가장동
3rd row내동
4th row갈마2동
5th row변동
ValueCountFrequency (%)
둔산2동 7
21.2%
도안동 3
 
9.1%
탄방동 3
 
9.1%
관저2동 3
 
9.1%
갈마2동 2
 
6.1%
둔산1동 2
 
6.1%
복수동 1
 
3.0%
정림동 1
 
3.0%
월평3동 1
 
3.0%
도마2동 1
 
3.0%
Other values (9) 9
27.3%
2023-12-13T06:23:09.878310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 33
28.4%
2 13
 
11.2%
둔 9
 
7.8%
산 9
 
7.8%
마 5
 
4.3%
도 5
 
4.3%
1 5
 
4.3%
관 4
 
3.4%
저 4
 
3.4%
갈 3
 
2.6%
Other values (19) 26
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
83.6%
Decimal Number 19
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
34.0%
둔 9
 
9.3%
산 9
 
9.3%
마 5
 
5.2%
도 5
 
5.2%
관 4
 
4.1%
저 4
 
4.1%
갈 3
 
3.1%
방 3
 
3.1%
탄 3
 
3.1%
Other values (16) 19
19.6%
Decimal Number
ValueCountFrequency (%)
2 13
68.4%
1 5
 
26.3%
3 1
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
83.6%
Common 19
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
34.0%
둔 9
 
9.3%
산 9
 
9.3%
마 5
 
5.2%
도 5
 
5.2%
관 4
 
4.1%
저 4
 
4.1%
갈 3
 
3.1%
방 3
 
3.1%
탄 3
 
3.1%
Other values (16) 19
19.6%
Common
ValueCountFrequency (%)
2 13
68.4%
1 5
 
26.3%
3 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
83.6%
ASCII 19
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 33
34.0%
둔 9
 
9.3%
산 9
 
9.3%
마 5
 
5.2%
도 5
 
5.2%
관 4
 
4.1%
저 4
 
4.1%
갈 3
 
3.1%
방 3
 
3.1%
탄 3
 
3.1%
Other values (16) 19
19.6%
ASCII
ValueCountFrequency (%)
2 13
68.4%
1 5
 
26.3%
3 1
 
5.3%

법정동명
Text

MISSING 

Distinct19
Distinct (%)57.6%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-13T06:23:10.065715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.5151515
Min length2

Characters and Unicode

Total characters116
Distinct characters29
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

Unique13 ?
Unique (%)39.4%

Sample

1st row만년동
2nd row가장동
3rd row내동
4th row갈마2동
5th row변동
ValueCountFrequency (%)
둔산2동 7
21.2%
도안동 3
 
9.1%
탄방동 3
 
9.1%
관저2동 3
 
9.1%
갈마2동 2
 
6.1%
둔산1동 2
 
6.1%
복수동 1
 
3.0%
정림동 1
 
3.0%
월평3동 1
 
3.0%
도마2동 1
 
3.0%
Other values (9) 9
27.3%
2023-12-13T06:23:10.422988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 33
28.4%
2 13
 
11.2%
둔 9
 
7.8%
산 9
 
7.8%
마 5
 
4.3%
도 5
 
4.3%
1 5
 
4.3%
관 4
 
3.4%
저 4
 
3.4%
갈 3
 
2.6%
Other values (19) 26
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
83.6%
Decimal Number 19
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
34.0%
둔 9
 
9.3%
산 9
 
9.3%
마 5
 
5.2%
도 5
 
5.2%
관 4
 
4.1%
저 4
 
4.1%
갈 3
 
3.1%
방 3
 
3.1%
탄 3
 
3.1%
Other values (16) 19
19.6%
Decimal Number
ValueCountFrequency (%)
2 13
68.4%
1 5
 
26.3%
3 1
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
83.6%
Common 19
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
34.0%
둔 9
 
9.3%
산 9
 
9.3%
마 5
 
5.2%
도 5
 
5.2%
관 4
 
4.1%
저 4
 
4.1%
갈 3
 
3.1%
방 3
 
3.1%
탄 3
 
3.1%
Other values (16) 19
19.6%
Common
ValueCountFrequency (%)
2 13
68.4%
1 5
 
26.3%
3 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
83.6%
ASCII 19
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 33
34.0%
둔 9
 
9.3%
산 9
 
9.3%
마 5
 
5.2%
도 5
 
5.2%
관 4
 
4.1%
저 4
 
4.1%
갈 3
 
3.1%
방 3
 
3.1%
탄 3
 
3.1%
Other values (16) 19
19.6%
ASCII
ValueCountFrequency (%)
2 13
68.4%
1 5
 
26.3%
3 1
 
5.3%

원장
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-13T06:23:10.671659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters99
Distinct characters50
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

Unique33 ?
Unique (%)100.0%

Sample

1st row김윤희
2nd row김기숙
3rd row김영경
4th row이채언
5th row박순라
ValueCountFrequency (%)
김윤희 1
 
3.0%
정명원 1
 
3.0%
김은희 1
 
3.0%
김숙희 1
 
3.0%
남옥화 1
 
3.0%
한효순 1
 
3.0%
송미란 1
 
3.0%
김미라 1
 
3.0%
김기숙 1
 
3.0%
김미옥 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T06:23:11.055205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
7.1%
희 7
 
7.1%
정 6
 
6.1%
유 4
 
4.0%
순 4
 
4.0%
미 4
 
4.0%
이 4
 
4.0%
박 3
 
3.0%
송 3
 
3.0%
경 3
 
3.0%
Other values (40) 54
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
7.1%
희 7
 
7.1%
정 6
 
6.1%
유 4
 
4.0%
순 4
 
4.0%
미 4
 
4.0%
이 4
 
4.0%
박 3
 
3.0%
송 3
 
3.0%
경 3
 
3.0%
Other values (40) 54
54.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
7.1%
희 7
 
7.1%
정 6
 
6.1%
유 4
 
4.0%
순 4
 
4.0%
미 4
 
4.0%
이 4
 
4.0%
박 3
 
3.0%
송 3
 
3.0%
경 3
 
3.0%
Other values (40) 54
54.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
7.1%
희 7
 
7.1%
정 6
 
6.1%
유 4
 
4.0%
순 4
 
4.0%
미 4
 
4.0%
이 4
 
4.0%
박 3
 
3.0%
송 3
 
3.0%
경 3
 
3.0%
Other values (40) 54
54.5%

유효기간시작일
Date

MISSING 

Distinct8
Distinct (%)24.2%
Missing1
Missing (%)2.9%
Memory size404.0 B
Minimum2020-10-01 00:00:00
Maximum2023-07-01 00:00:00
2023-12-13T06:23:11.186942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:23:11.293759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

유효기간종료일
Date

MISSING 

Distinct8
Distinct (%)24.2%
Missing1
Missing (%)2.9%
Memory size404.0 B
Minimum2023-09-30 00:00:00
Maximum2026-06-30 00:00:00
2023-12-13T06:23:11.389301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:23:11.512084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

Interactions

2023-12-13T06:23:06.579216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:23:06.393247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:23:06.676628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:23:06.483568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:23:11.615079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번어린이집유형아동정원어린이집명주소행정동명법정동명원장유효기간시작일유효기간종료일
순번1.0000.0000.0001.0001.0000.5200.5201.0000.0000.000
어린이집유형0.0001.0001.0001.0001.0000.5580.5581.0000.8080.808
아동정원0.0001.0001.0001.0001.0000.8710.8711.0000.0000.000
어린이집명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
행정동명0.5200.5580.8711.0001.0001.0001.0001.0000.5040.504
법정동명0.5200.5580.8711.0001.0001.0001.0001.0000.5040.504
원장1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유효기간시작일0.0000.8080.0001.0001.0000.5040.5041.0001.0001.000
유효기간종료일0.0000.8080.0001.0001.0000.5040.5041.0001.0001.000
2023-12-13T06:23:11.753904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번아동정원어린이집유형
순번1.000-0.1410.000
아동정원-0.1411.0000.916
어린이집유형0.0000.9161.000

Missing values

2023-12-13T06:23:06.825099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:23:06.984937image/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.
2023-12-13T06:23:07.116182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번어린이집유형아동정원어린이집명주소행정동명법정동명원장유효기간시작일유효기간종료일
01민간38강변어린이집대전광역시 서구 만년로 25 (만년동, 강변아파트)만년동만년동김윤희2020-12-012023-11-30
12가정20구슬어린이집대전광역시 서구 가장로 106 110동 104호 (가장동, 삼성래미안아파트)가장동가장동김기숙2021-10-012024-09-30
23가정19꼬마사랑어린이집대전광역시 서구 동서대로 967 2동 101호 (내동, 코오롱아파트)내동내동김영경2023-01-012025-12-31
34민간88꾸러기어린이집대전광역시 서구 갈마로117번길 52 (갈마동)갈마2동갈마2동이채언2021-10-012024-09-30
45민간93대전아이사랑어린이집대전광역시 서구 도솔로 214 (변동)변동변동박순라2020-12-012023-11-30
56민간207둔산큰별어린이집대전광역시 서구 도솔로 454 (탄방동)탄방동탄방동이양우2021-10-012024-09-30
67가정20맑고행복한어린이집대전광역시 서구 관저서로 19 106동 104호 (관저동, 관저더샵아파트)관저2동관저2동유선미2022-10-012025-09-30
78가정20별그림어린이집대전광역시 서구 둔산남로 30 105동 108호 (둔산동, 녹원아파트)둔산2동둔산2동홍도현2022-10-012025-09-30
89가정20사랑나무숲어린이집대전광역시 서구 대덕대로 150 108동 109호 (갈마동, 큰마을아파트)갈마2동갈마2동여유정2023-01-012025-12-31
910민간75새싹어린이집대전광역시 서구 용문로 113 (용문동)용문동용문동조민자2021-10-012024-09-30
순번어린이집유형아동정원어린이집명주소행정동명법정동명원장유효기간시작일유효기간종료일
2425가정20크로바어린이집대전광역시 서구 둔산로 155 110동 103호 (둔산동, 크로바아파트)둔산1동둔산1동송미란2022-10-012025-09-30
2526가정19큰사랑어린이집대전광역시 서구 문정로90번길 60 110동 103호 (탄방동, 한우리아파트)탄방동탄방동윤희순2020-10-012023-09-30
2627민간127키즈아일랜드어린이집대전광역시 서구 유등로17번길 78 (복수동)복수동복수동김미라2022-10-012025-09-30
2728가정20포근한어린이집대전광역시 서구 배재로 139-31 114동 111호 (도마동, 경남아파트2단지)도마2동도마2동김미옥2023-01-012025-12-31
2829민간63푸른샘어린이집대전광역시 서구 도안동로 177 커뮤니티센터 (도안동, 수목토아파트)도안동도안동서은총2022-06-012025-05-31
2930가정20푸른어린이집대전광역시 서구 둔산로 15 103동 103호 (둔산동, 향촌아파트)둔산2동둔산2동유길자2023-07-012026-06-30
3031가정20해그림어린이집대전광역시 서구 청사로 70 109동 108호 (월평동, 누리아파트)월평3동월평3동박시현2022-10-012025-09-30
3132가정20해뜰어린이집대전광역시 서구 관저로 51 512동 101호 (관저동, 구봉마을5단지)관저2동관저2동이명희2022-10-012025-09-30
3233가정20호반숲어린이집대전광역시 서구 원도안로 100 110동 102호 (도안동, 도안베르디움)도안동도안동고해경2022-10-012025-09-30
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