Overview

Dataset statistics

Number of variables17
Number of observations42
Missing cells85
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory147.1 B

Variable types

Categorical9
Text3
Unsupported2
Numeric1
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20722/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
집단급식소신고여부 has constant value ""Constant
단독배치영양교사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
급식운영방식구분 is highly overall correlated with 설립유형 and 2 other fieldsHigh correlation
영양교사배치여부 is highly overall correlated with 설립유형 and 2 other fieldsHigh correlation
공동배치영양교사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
설립유형 is highly overall correlated with 급식운영방식구분 and 1 other fieldsHigh correlation
급식유아수 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
조리사수 is highly overall correlated with 급식운영방식구분High correlation
조리인력수 is highly overall correlated with 급식운영방식구분High correlation
공시차수 is highly imbalanced (62.9%)Imbalance
위탁업체명 has 42 (100.0%) missing valuesMissing
전체유아수 has 42 (100.0%) missing valuesMissing
집단급식소신고여부 has 1 (2.4%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
위탁업체명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전체유아수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 15:30:37.938284
Analysis finished2024-03-13 15:30:39.270664
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
서울특별시교육청
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 42
100.0%

Length

2024-03-14T00:30:39.327834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:39.422187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 42
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
남부교육지원청
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부교육지원청 42
100.0%

Length

2024-03-14T00:30:39.525953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:39.612743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 42
100.0%

유치원코드
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T00:30:39.808041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1512
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed30-b044-e053-0a32095ab044
2nd row1ecec08c-eecc-b044-e053-0a32095ab044
3rd row1ecec08c-eecd-b044-e053-0a32095ab044
4th row1ecec08c-efb3-b044-e053-0a32095ab044
5th row1ecec08c-f1b5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed30-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0726-b044-e053-0a32095ab044 1
 
2.4%
bee9e663-cc40-4da3-a26e-2b77a1a3e3f9 1
 
2.4%
1ecec08d-013f-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-01d4-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0336-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0555-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0568-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056a-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056b-b044-e053-0a32095ab044 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T00:30:40.145072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 854
56.5%
Lowercase Letter 490
32.4%
Dash Punctuation 168
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
31.1%
4 166
19.4%
3 95
 
11.1%
5 91
 
10.7%
9 58
 
6.8%
1 53
 
6.2%
8 53
 
6.2%
2 45
 
5.3%
6 17
 
2.0%
7 10
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1022
67.6%
Latin 490
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
26.0%
- 168
16.4%
4 166
16.2%
3 95
 
9.3%
5 91
 
8.9%
9 58
 
5.7%
1 53
 
5.2%
8 53
 
5.2%
2 45
 
4.4%
6 17
 
1.7%
Latin
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

유치원명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T00:30:40.386098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.8571429
Min length5

Characters and Unicode

Total characters330
Distinct characters73
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

Unique42 ?
Unique (%)100.0%

Sample

1st row성모유치원
2nd row큰나무유치원
3rd row평강유치원
4th row은하유치원
5th row서울윤중초등학교병설유치원
ValueCountFrequency (%)
성모유치원 1
 
2.4%
서울당중초등학교병설유치원 1
 
2.4%
서울우신초등학교병설유치원 1
 
2.4%
여의도유치원 1
 
2.4%
푸른나라유치원 1
 
2.4%
성요셉유치원 1
 
2.4%
대림유치원 1
 
2.4%
신라유치원 1
 
2.4%
영은유치원 1
 
2.4%
영중유치원 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T00:30:40.708822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

설립유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
사립(사인)
20 
공립(병설)
12 
사립(법인)
10 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립(법인)
2nd row사립(사인)
3rd row사립(사인)
4th row사립(법인)
5th row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 20
47.6%
공립(병설) 12
28.6%
사립(법인) 10
23.8%

Length

2024-03-14T00:30:40.837516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:40.960067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
47.6%
공립(병설 12
28.6%
사립(법인 10
23.8%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
직영
30 
직영(학교급식)
12 

Length

Max length8
Median length2
Mean length3.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직영
2nd row직영
3rd row직영
4th row직영
5th row직영(학교급식)

Common Values

ValueCountFrequency (%)
직영 30
71.4%
직영(학교급식) 12
 
28.6%

Length

2024-03-14T00:30:41.088136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:41.187811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 30
71.4%
직영(학교급식 12
 
28.6%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

급식유아수
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.142857
Minimum16
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T00:30:41.298911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile24.1
Q140.25
median60.5
Q396.5
95-th percentile193.25
Maximum246
Range230
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation53.80705
Coefficient of variation (CV)0.68857285
Kurtosis1.6121829
Mean78.142857
Median Absolute Deviation (MAD)27.5
Skewness1.375771
Sum3282
Variance2895.1986
MonotonicityNot monotonic
2024-03-14T00:30:41.429315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
41 2
 
4.8%
77 2
 
4.8%
87 2
 
4.8%
43 2
 
4.8%
113 1
 
2.4%
72 1
 
2.4%
16 1
 
2.4%
42 1
 
2.4%
95 1
 
2.4%
61 1
 
2.4%
Other values (28) 28
66.7%
ValueCountFrequency (%)
16 1
2.4%
17 1
2.4%
24 1
2.4%
26 1
2.4%
28 1
2.4%
31 1
2.4%
32 1
2.4%
36 1
2.4%
37 1
2.4%
39 1
2.4%
ValueCountFrequency (%)
246 1
2.4%
197 1
2.4%
194 1
2.4%
179 1
2.4%
168 1
2.4%
133 1
2.4%
117 1
2.4%
113 1
2.4%
107 1
2.4%
104 1
2.4%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size174.0 B
True
28 
False
14 
ValueCountFrequency (%)
True 28
66.7%
False 14
33.3%
2024-03-14T00:30:41.546670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
21 
<NA>
14 
1
7 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row1
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 21
50.0%
<NA> 14
33.3%
1 7
 
16.7%

Length

2024-03-14T00:30:41.681341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:41.819056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
50.0%
na 14
33.3%
1 7
 
16.7%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
21 
<NA>
14 
0
7 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 21
50.0%
<NA> 14
33.3%
0 7
 
16.7%

Length

2024-03-14T00:30:41.974720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:42.133000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
50.0%
na 14
33.3%
0 7
 
16.7%

조리사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
28 
0
12 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 28
66.7%
0 12
28.6%
2 2
 
4.8%

Length

2024-03-14T00:30:42.287615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:42.468745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
66.7%
0 12
28.6%
2 2
 
4.8%

조리인력수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
18 
1
13 
2
6 
3
4 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row0
2nd row1
3rd row2
4th row1
5th row3

Common Values

ValueCountFrequency (%)
0 18
42.9%
1 13
31.0%
2 6
 
14.3%
3 4
 
9.5%
4 1
 
2.4%

Length

2024-03-14T00:30:42.636951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:42.794089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
42.9%
1 13
31.0%
2 6
 
14.3%
3 4
 
9.5%
4 1
 
2.4%

집단급식소신고여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.4%
Missing1
Missing (%)2.4%
Memory size216.0 B
True
41 
(Missing)
 
1
ValueCountFrequency (%)
True 41
97.6%
(Missing) 1
 
2.4%
2024-03-14T00:30:42.897547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
20232
39 
20182
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20232
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 39
92.9%
20182 3
 
7.1%

Length

2024-03-14T00:30:42.992274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:30:43.143333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 39
92.9%
20182 3
 
7.1%

주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T00:30:43.454576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.333333
Min length17

Characters and Unicode

Total characters812
Distinct characters55
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 가마산로89길 7
2nd row서울특별시 영등포구 도신로 31
3rd row서울특별시 영등포구 신길로 27
4th row서울특별시 영등포구 당산로28길 11
5th row서울특별시 영등포구 여의나루로2길 14
ValueCountFrequency (%)
서울특별시 42
25.0%
영등포구 42
25.0%
14 4
 
2.4%
신길로 3
 
1.8%
3 2
 
1.2%
9 2
 
1.2%
양산로 2
 
1.2%
8 2
 
1.2%
도신로 2
 
1.2%
대방천로 2
 
1.2%
Other values (65) 65
38.7%
2024-03-14T00:30:43.848772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
15.5%
영 46
 
5.7%
서 43
 
5.3%
시 43
 
5.3%
등 43
 
5.3%
포 43
 
5.3%
특 42
 
5.2%
별 42
 
5.2%
구 42
 
5.2%
울 42
 
5.2%
Other values (45) 300
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
67.2%
Decimal Number 136
 
16.7%
Space Separator 126
 
15.5%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%
Decimal Number
ValueCountFrequency (%)
1 27
19.9%
3 19
14.0%
2 17
12.5%
4 14
10.3%
8 12
8.8%
5 12
8.8%
7 10
 
7.4%
9 9
 
6.6%
6 9
 
6.6%
0 7
 
5.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
67.2%
Common 266
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%
Common
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
67.2%
ASCII 266
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%
Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%

Interactions

2024-03-14T00:30:38.884465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T00:30:43.953537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형급식운영방식구분급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0001.0000.6790.3300.2790.2790.7630.4980.1191.000
급식운영방식구분1.0001.0001.0001.0000.4620.5410.5600.5600.4000.4680.0001.000
급식유아수1.0001.0000.6790.4621.0000.0290.8510.8510.7850.5860.0001.000
영양교사배치여부1.0001.0000.3300.5410.0291.000NaNNaN0.1230.3710.0001.000
단독배치영양교사수1.0001.0000.2790.5600.851NaN1.0000.9880.2760.3530.0001.000
공동배치영양교사수1.0001.0000.2790.5600.851NaN0.9881.0000.2760.3530.0001.000
조리사수1.0001.0000.7630.4000.7850.1230.2760.2761.0000.3000.0001.000
조리인력수1.0001.0000.4980.4680.5860.3710.3530.3530.3001.0000.0001.000
공시차수1.0001.0000.1190.0000.0000.0000.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T00:30:44.103109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수공시차수급식운영방식구분영양교사배치여부공동배치영양교사수조리인력수설립유형조리사수
단독배치영양교사수1.0000.0000.3771.0000.9010.4000.4420.436
공시차수0.0001.0000.0000.0000.0000.0000.1920.000
급식운영방식구분0.3770.0001.0000.3630.3770.5450.9870.621
영양교사배치여부1.0000.0000.3631.0001.0000.4330.5220.197
공동배치영양교사수0.9010.0000.3771.0001.0000.4000.4420.436
조리인력수0.4000.0000.5450.4330.4001.0000.4200.226
설립유형0.4420.1920.9870.5220.4420.4201.0000.420
조리사수0.4360.0000.6210.1970.4360.2260.4201.000
2024-03-14T00:30:44.218216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수공시차수
급식유아수1.0000.3600.4230.0000.7520.7520.4680.3580.000
설립유형0.3601.0000.9870.5220.4420.4420.4200.4200.192
급식운영방식구분0.4230.9871.0000.3630.3770.3770.6210.5450.000
영양교사배치여부0.0000.5220.3631.0001.0001.0000.1970.4330.000
단독배치영양교사수0.7520.4420.3771.0001.0000.9010.4360.4000.000
공동배치영양교사수0.7520.4420.3771.0000.9011.0000.4360.4000.000
조리사수0.4680.4200.6210.1970.4360.4361.0000.2260.000
조리인력수0.3580.4200.5450.4330.4000.4000.2261.0000.000
공시차수0.0000.1920.0000.0000.0000.0000.0000.0001.000

Missing values

2024-03-14T00:30:38.996360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T00:30:39.188322image/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

교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
0서울특별시교육청남부교육지원청1ecec08c-ed30-b044-e053-0a32095ab044성모유치원사립(법인)직영<NA><NA>113Y1020Y20232서울특별시 영등포구 가마산로89길 7
1서울특별시교육청남부교육지원청1ecec08c-eecc-b044-e053-0a32095ab044큰나무유치원사립(사인)직영<NA><NA>77N<NA><NA>11Y20232서울특별시 영등포구 도신로 31
2서울특별시교육청남부교육지원청1ecec08c-eecd-b044-e053-0a32095ab044평강유치원사립(사인)직영<NA><NA>117Y1012Y20232서울특별시 영등포구 신길로 27
3서울특별시교육청남부교육지원청1ecec08c-efb3-b044-e053-0a32095ab044은하유치원사립(법인)직영<NA><NA>87N<NA><NA>11Y20232서울특별시 영등포구 당산로28길 11
4서울특별시교육청남부교육지원청1ecec08c-f1b5-b044-e053-0a32095ab044서울윤중초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>43Y0113Y20232서울특별시 영등포구 여의나루로2길 14
5서울특별시교육청남부교육지원청1ecec08c-f497-b044-e053-0a32095ab044무지개영재유치원사립(법인)직영<NA><NA>246Y1003Y20232서울특별시 영등포구 양산로17길 8
6서울특별시교육청남부교육지원청1ecec08c-f600-b044-e053-0a32095ab044살레시오성미유치원사립(법인)직영<NA><NA>197Y1012Y20232서울특별시 영등포구 신길로 93
7서울특별시교육청남부교육지원청1ecec08c-f7c4-b044-e053-0a32095ab044한영유치원사립(사인)직영<NA><NA>93N<NA><NA>11Y20232서울특별시 영등포구 영중로41길 5
8서울특별시교육청남부교육지원청1ecec08c-f88d-b044-e053-0a32095ab044동천유치원사립(사인)직영<NA><NA>58N<NA><NA>11Y20232서울특별시 영등포구 신길로40길 10
9서울특별시교육청남부교육지원청1ecec08c-f88e-b044-e053-0a32095ab044명신유치원사립(법인)직영<NA><NA>107Y0111Y20232서울특별시 영등포구 신길로41라길 13-9
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
32서울특별시교육청남부교육지원청1ecec08d-080b-b044-e053-0a32095ab044서울대동초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>39Y0100Y20232서울특별시 영등포구 대림로21길 6
33서울특별시교육청남부교육지원청1ecec08d-0b19-b044-e053-0a32095ab044성지유치원사립(사인)직영<NA><NA>91Y0110Y20232서울특별시 영등포구 도신로29길 28
34서울특별시교육청남부교육지원청1ecec08d-0b39-b044-e053-0a32095ab044서울대방초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>26Y0100Y20232서울특별시 영등포구 여의대방로35길 14
35서울특별시교육청남부교육지원청1ecec08d-0d36-b044-e053-0a32095ab044침례유치원사립(법인)직영<NA><NA>133Y0112Y20232서울특별시 영등포구 국제금융로 118
36서울특별시교육청남부교육지원청1ecec08d-0d37-b044-e053-0a32095ab044한신혜원유치원사립(사인)직영<NA><NA>104Y0111Y20232서울특별시 영등포구 양평로24길 9
37서울특별시교육청남부교육지원청1ecec08d-0e0f-b044-e053-0a32095ab044신길에덴유치원사립(사인)직영<NA><NA>41Y0110Y20232서울특별시 영등포구 신길로38길 21
38서울특별시교육청남부교육지원청1ecec08d-0e56-b044-e053-0a32095ab044서울영림초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>37Y0113Y20232서울특별시 영등포구 시흥대로173길 14
39서울특별시교육청남부교육지원청514a9da1-09dd-41f1-80ad-6ae2336cc998서울대길초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>36Y0100Y20232서울특별시 영등포구 대방천로 206
40서울특별시교육청남부교육지원청bee9e663-cc40-4da3-a26e-2b77a1a3e3f9서울우신초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>43Y0100Y20232서울특별시 영등포구 신길로 190
41서울특별시교육청남부교육지원청c295b114-3f1c-40a9-85ec-0999d036c98c서울선유초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>56Y0113Y20232서울특별시 영등포구 선유로43가길 14