Overview

Dataset statistics

Number of variables17
Number of observations30
Missing cells60
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory148.4 B

Variable types

Categorical8
Text3
Unsupported2
Numeric2
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-20725/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 설립유형 and 2 other fieldsHigh correlation
영양교사배치여부 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
공동배치영양교사수 is highly overall correlated with 설립유형 and 2 other fieldsHigh correlation
급식유아수 is highly overall correlated with 조리사수High correlation
공시차수 is highly overall correlated with 급식운영방식구분High correlation
설립유형 is highly overall correlated with 급식운영방식구분 and 3 other fieldsHigh correlation
급식운영방식구분 is highly overall correlated with 공시차수 and 2 other fieldsHigh correlation
조리사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
위탁업체명 has 30 (100.0%) missing valuesMissing
전체유아수 has 30 (100.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 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
급식유아수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-03-13 15:15:24.074631
Analysis finished2024-03-13 15:15:25.489438
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서울특별시교육청
30 

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 30
100.0%

Length

2024-03-14T00:15:25.546977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:25.630812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 30
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
강남서초교육지원청
30 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남서초교육지원청 30
100.0%

Length

2024-03-14T00:15:25.714105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:25.802572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남서초교육지원청 30
100.0%

유치원코드
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T00:15:25.986795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1080
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

Unique30 ?
Unique (%)100.0%

Sample

1st row196f00e6-793a-4f41-bcef-99bef725d1f3
2nd row1ecec08c-ed17-b044-e053-0a32095ab044
3rd row1ecec08c-ed1c-b044-e053-0a32095ab044
4th row1ecec08c-f00c-b044-e053-0a32095ab044
5th row1ecec08c-f00d-b044-e053-0a32095ab044
ValueCountFrequency (%)
196f00e6-793a-4f41-bcef-99bef725d1f3 1
 
3.3%
1ecec08c-ed17-b044-e053-0a32095ab044 1
 
3.3%
830ff6c0-a6e8-4d8e-9aee-9c018c1660cf 1
 
3.3%
7c71b778-6703-48da-ab25-12aa540fccaf 1
 
3.3%
1fd6777e-1535-e0b0-e053-0a32095ae0b0 1
 
3.3%
1ecec08d-0e62-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0b9a-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0b99-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0a6d-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0a6a-b044-e053-0a32095ab044 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T00:15:26.362072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
17.6%
- 120
11.1%
4 111
10.3%
e 94
8.7%
c 76
 
7.0%
a 73
 
6.8%
3 63
 
5.8%
5 62
 
5.7%
b 62
 
5.7%
9 41
 
3.8%
Other values (7) 188
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 607
56.2%
Lowercase Letter 353
32.7%
Dash Punctuation 120
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
31.3%
4 111
18.3%
3 63
 
10.4%
5 62
 
10.2%
9 41
 
6.8%
1 40
 
6.6%
2 36
 
5.9%
8 34
 
5.6%
7 15
 
2.5%
6 15
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 94
26.6%
c 76
21.5%
a 73
20.7%
b 62
17.6%
d 25
 
7.1%
f 23
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 727
67.3%
Latin 353
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
26.1%
- 120
16.5%
4 111
15.3%
3 63
 
8.7%
5 62
 
8.5%
9 41
 
5.6%
1 40
 
5.5%
2 36
 
5.0%
8 34
 
4.7%
7 15
 
2.1%
Latin
ValueCountFrequency (%)
e 94
26.6%
c 76
21.5%
a 73
20.7%
b 62
17.6%
d 25
 
7.1%
f 23
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
17.6%
- 120
11.1%
4 111
10.3%
e 94
8.7%
c 76
 
7.0%
a 73
 
6.8%
3 63
 
5.8%
5 62
 
5.7%
b 62
 
5.7%
9 41
 
3.8%
Other values (7) 188
17.4%

유치원명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T00:15:26.599841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length7.6333333
Min length5

Characters and Unicode

Total characters229
Distinct characters57
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

Unique30 ?
Unique (%)100.0%

Sample

1st row한신유치원
2nd row서울원명초등학교병설유치원
3rd row서울우솔초등학교병설유치원
4th row석문유치원
5th row여나유치원
ValueCountFrequency (%)
한신유치원 1
 
3.3%
서울원명초등학교병설유치원 1
 
3.3%
서울청계숲유치원 1
 
3.3%
서울양재유치원 1
 
3.3%
예원유치원 1
 
3.3%
서울방배초등학교병설유치원 1
 
3.3%
새순유치원 1
 
3.3%
새성민유치원 1
 
3.3%
서울언남초등학교병설유치원 1
 
3.3%
서초유치원 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T00:15:26.968084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
14.0%
31
13.5%
30
13.1%
13
 
5.7%
11
 
4.8%
9
 
3.9%
8
 
3.5%
8
 
3.5%
8
 
3.5%
8
 
3.5%
Other values (47) 71
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
14.0%
31
13.5%
30
13.1%
13
 
5.7%
11
 
4.8%
9
 
3.9%
8
 
3.5%
8
 
3.5%
8
 
3.5%
8
 
3.5%
Other values (47) 71
31.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
14.0%
31
13.5%
30
13.1%
13
 
5.7%
11
 
4.8%
9
 
3.9%
8
 
3.5%
8
 
3.5%
8
 
3.5%
8
 
3.5%
Other values (47) 71
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
14.0%
31
13.5%
30
13.1%
13
 
5.7%
11
 
4.8%
9
 
3.9%
8
 
3.5%
8
 
3.5%
8
 
3.5%
8
 
3.5%
Other values (47) 71
31.0%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
사립(사인)
15 
공립(병설)
사립(법인)
공립(단설)

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 15
50.0%
공립(병설) 8
26.7%
사립(법인) 4
 
13.3%
공립(단설) 3
 
10.0%

Length

2024-03-14T00:15:27.136669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:27.261551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 15
50.0%
공립(병설 8
26.7%
사립(법인 4
 
13.3%
공립(단설 3
 
10.0%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
직영
22 
직영(학교급식)
혼합
 
1

Length

Max length8
Median length2
Mean length3.4
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
직영 22
73.3%
직영(학교급식) 7
 
23.3%
혼합 1
 
3.3%

Length

2024-03-14T00:15:27.374601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:27.467391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 22
73.3%
직영(학교급식 7
 
23.3%
혼합 1
 
3.3%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

급식유아수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.566667
Minimum0
Maximum241
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-14T00:15:27.562910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.9
Q155.25
median67.5
Q386.5
95-th percentile158.25
Maximum241
Range241
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation47.153223
Coefficient of variation (CV)0.6001683
Kurtosis4.1766034
Mean78.566667
Median Absolute Deviation (MAD)14.5
Skewness1.6518879
Sum2357
Variance2223.4264
MonotonicityNot monotonic
2024-03-14T00:15:27.676267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
53 2
 
6.7%
67 2
 
6.7%
139 1
 
3.3%
69 1
 
3.3%
75 1
 
3.3%
99 1
 
3.3%
78 1
 
3.3%
57 1
 
3.3%
52 1
 
3.3%
45 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 1
3.3%
12 1
3.3%
34 1
3.3%
45 1
3.3%
52 1
3.3%
53 2
6.7%
55 1
3.3%
56 1
3.3%
57 1
3.3%
59 1
3.3%
ValueCountFrequency (%)
241 1
3.3%
174 1
3.3%
139 1
3.3%
138 1
3.3%
126 1
3.3%
99 1
3.3%
93 1
3.3%
87 1
3.3%
85 1
3.3%
82 1
3.3%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
20 
False
10 
ValueCountFrequency (%)
True 20
66.7%
False 10
33.3%
2024-03-14T00:15:27.771859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
12 
<NA>
10 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
40.0%
<NA> 10
33.3%
1 8
26.7%

Length

2024-03-14T00:15:27.865141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:27.955369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
40.0%
na 10
33.3%
1 8
26.7%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
12 
<NA>
10 
0

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 12
40.0%
<NA> 10
33.3%
0 8
26.7%

Length

2024-03-14T00:15:28.060106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:28.180828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 12
40.0%
na 10
33.3%
0 8
26.7%

조리사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
20 
0
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
66.7%
0 6
 
20.0%
2 4
 
13.3%

Length

2024-03-14T00:15:28.315871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:28.407290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
66.7%
0 6
 
20.0%
2 4
 
13.3%

조리인력수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
13 
1
11 
2
3
 
1
10
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
43.3%
1 11
36.7%
2 4
 
13.3%
3 1
 
3.3%
10 1
 
3.3%

Length

2024-03-14T00:15:28.505683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:15:28.612875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
43.3%
1 11
36.7%
2 4
 
13.3%
3 1
 
3.3%
10 1
 
3.3%

집단급식소신고여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2024-03-14T00:15:28.704455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.967
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-14T00:15:28.784943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20186.5
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.278785
Coefficient of variation (CV)0.00080492544
Kurtosis1.8825018
Mean20223.967
Median Absolute Deviation (MAD)0
Skewness-1.8291129
Sum606719
Variance264.99885
MonotonicityNot monotonic
2024-03-14T00:15:28.901315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 23
76.7%
20182 2
 
6.7%
20192 2
 
6.7%
20221 1
 
3.3%
20212 1
 
3.3%
20202 1
 
3.3%
ValueCountFrequency (%)
20182 2
 
6.7%
20192 2
 
6.7%
20202 1
 
3.3%
20212 1
 
3.3%
20221 1
 
3.3%
20232 23
76.7%
ValueCountFrequency (%)
20232 23
76.7%
20221 1
 
3.3%
20212 1
 
3.3%
20202 1
 
3.3%
20192 2
 
6.7%
20182 2
 
6.7%

주소
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T00:15:29.099355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20.5
Mean length19.033333
Min length16

Characters and Unicode

Total characters571
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

Unique28 ?
Unique (%)93.3%

Sample

1st row서울특별시 서초구 잠원로3길 31
2nd row서울특별시 서초구 고무래로 90-6
3rd row서울특별시 서초구 양재대로2길 74
4th row서울특별시 서초구 서초대로64길 73
5th row서울특별시 서초구 서초중앙로 200
ValueCountFrequency (%)
서울특별시 30
25.0%
서초구 30
25.0%
양재대로2길 2
 
1.7%
신반포로 2
 
1.7%
14 2
 
1.7%
18 2
 
1.7%
태봉로2길 2
 
1.7%
21 2
 
1.7%
신반포로19길 1
 
0.8%
신반포로15길 1
 
0.8%
Other values (46) 46
38.3%
2024-03-14T00:15:29.490287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
15.8%
65
 
11.4%
35
 
6.1%
30
 
5.3%
30
 
5.3%
30
 
5.3%
30
 
5.3%
30
 
5.3%
30
 
5.3%
22
 
3.9%
Other values (45) 179
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
65.3%
Decimal Number 104
 
18.2%
Space Separator 90
 
15.8%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
17.4%
35
9.4%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
22
 
5.9%
5
 
1.3%
Other values (33) 66
17.7%
Decimal Number
ValueCountFrequency (%)
1 21
20.2%
2 17
16.3%
4 12
11.5%
3 11
10.6%
0 10
9.6%
5 8
 
7.7%
8 7
 
6.7%
7 7
 
6.7%
6 6
 
5.8%
9 5
 
4.8%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
65.3%
Common 198
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
17.4%
35
9.4%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
22
 
5.9%
5
 
1.3%
Other values (33) 66
17.7%
Common
ValueCountFrequency (%)
90
45.5%
1 21
 
10.6%
2 17
 
8.6%
4 12
 
6.1%
3 11
 
5.6%
0 10
 
5.1%
5 8
 
4.0%
8 7
 
3.5%
7 7
 
3.5%
6 6
 
3.0%
Other values (2) 9
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
65.3%
ASCII 198
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
45.5%
1 21
 
10.6%
2 17
 
8.6%
4 12
 
6.1%
3 11
 
5.6%
0 10
 
5.1%
5 8
 
4.0%
8 7
 
3.5%
7 7
 
3.5%
6 6
 
3.0%
Other values (2) 9
 
4.5%
Hangul
ValueCountFrequency (%)
65
17.4%
35
9.4%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
30
8.0%
22
 
5.9%
5
 
1.3%
Other values (33) 66
17.7%

Interactions

2024-03-14T00:15:24.941119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:15:24.692515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:15:25.037653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:15:24.809097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T00:15:29.584702image/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
설립유형1.0001.0001.0000.6430.6400.3810.8280.8280.5380.3630.1360.000
급식운영방식구분1.0001.0000.6431.0000.6500.2330.6490.6490.8650.4290.6921.000
급식유아수1.0001.0000.6400.6501.0000.1490.7030.7030.7710.4540.0000.974
영양교사배치여부1.0001.0000.3810.2330.1491.000NaNNaN0.1610.0000.2650.000
단독배치영양교사수1.0001.0000.8280.6490.703NaN1.0000.9850.2720.3710.0001.000
공동배치영양교사수1.0001.0000.8280.6490.703NaN0.9851.0000.2720.3710.0001.000
조리사수1.0001.0000.5380.8650.7710.1610.2720.2721.0000.3370.0001.000
조리인력수1.0001.0000.3630.4290.4540.0000.3710.3710.3371.0000.0001.000
공시차수1.0001.0000.1360.6920.0000.2650.0000.0000.0000.0001.0000.426
주소1.0001.0000.0001.0000.9740.0001.0001.0001.0001.0000.4261.000
2024-03-14T00:15:29.721682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수급식운영방식구분영양교사배치여부공동배치영양교사수조리인력수설립유형조리사수
단독배치영양교사수1.0000.4471.0000.8900.4020.5820.424
급식운영방식구분0.4471.0000.3720.4470.3400.6530.554
영양교사배치여부1.0000.3721.0001.0000.0000.2390.257
공동배치영양교사수0.8900.4471.0001.0000.4020.5820.424
조리인력수0.4020.3400.0000.4021.0000.2900.252
설립유형0.5820.6530.2390.5820.2901.0000.530
조리사수0.4240.5540.2570.4240.2520.5301.000
2024-03-14T00:15:29.837152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수공시차수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수
급식유아수1.0000.1340.2900.4680.0390.4220.4220.6120.265
공시차수0.1341.0000.0510.6300.3010.0000.0000.0000.000
설립유형0.2900.0511.0000.6530.2390.5820.5820.5300.290
급식운영방식구분0.4680.6300.6531.0000.3720.4470.4470.5540.340
영양교사배치여부0.0390.3010.2390.3721.0001.0001.0000.2570.000
단독배치영양교사수0.4220.0000.5820.4471.0001.0000.8900.4240.402
공동배치영양교사수0.4220.0000.5820.4471.0000.8901.0000.4240.402
조리사수0.6120.0000.5300.5540.2570.4240.4241.0000.252
조리인력수0.2650.0000.2900.3400.0000.4020.4020.2521.000

Missing values

2024-03-14T00:15:25.169277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T00:15:25.406127image/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
0서울특별시교육청강남서초교육지원청196f00e6-793a-4f41-bcef-99bef725d1f3한신유치원사립(법인)직영<NA><NA>139Y0120Y20232서울특별시 서초구 잠원로3길 31
1서울특별시교육청강남서초교육지원청1ecec08c-ed17-b044-e053-0a32095ab044서울원명초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>59Y0100Y20232서울특별시 서초구 고무래로 90-6
2서울특별시교육청강남서초교육지원청1ecec08c-ed1c-b044-e053-0a32095ab044서울우솔초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>53Y0100Y20232서울특별시 서초구 양재대로2길 74
3서울특별시교육청강남서초교육지원청1ecec08c-f00c-b044-e053-0a32095ab044석문유치원사립(법인)직영<NA><NA>93N<NA><NA>11Y20232서울특별시 서초구 서초대로64길 73
4서울특별시교육청강남서초교육지원청1ecec08c-f00d-b044-e053-0a32095ab044여나유치원사립(사인)직영<NA><NA>126Y1021Y20232서울특별시 서초구 서초중앙로 200
5서울특별시교육청강남서초교육지원청1ecec08c-f00e-b044-e053-0a32095ab044영유유치원사립(사인)직영<NA><NA>62Y0110Y20182서울특별시 서초구 효령로34길 72
6서울특별시교육청강남서초교육지원청1ecec08c-f336-b044-e053-0a32095ab044육영유치원사립(사인)직영<NA><NA>55Y1011Y20182서울특별시 서초구 방배로6길 18
7서울특별시교육청강남서초교육지원청1ecec08c-f43f-b044-e053-0a32095ab044우정유치원사립(사인)직영<NA><NA>67Y0112Y20232서울특별시 서초구 서초대로70길 32
8서울특별시교육청강남서초교육지원청1ecec08c-f5d1-b044-e053-0a32095ab044구룡유치원사립(사인)직영<NA><NA>85N<NA><NA>11Y20232서울특별시 서초구 논현로5길 31-11
9서울특별시교육청강남서초교육지원청1ecec08c-fc1b-b044-e053-0a32095ab044하나유치원사립(사인)직영<NA><NA>174Y1012Y20232서울특별시 서초구 잠원로8길 13
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
20서울특별시교육청강남서초교육지원청1ecec08d-0a08-b044-e053-0a32095ab044반포성모유치원사립(법인)직영<NA><NA>60N<NA><NA>10Y20202서울특별시 서초구 신반포로15길 18
21서울특별시교육청강남서초교육지원청1ecec08d-0a6a-b044-e053-0a32095ab044서초유치원사립(사인)직영<NA><NA>241Y1021Y20232서울특별시 서초구 양재대로2길 100-64
22서울특별시교육청강남서초교육지원청1ecec08d-0a6d-b044-e053-0a32095ab044서울언남초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>45Y0100Y20232서울특별시 서초구 헌릉로8길 42
23서울특별시교육청강남서초교육지원청1ecec08d-0b99-b044-e053-0a32095ab044새성민유치원사립(사인)직영<NA><NA>53N<NA><NA>10Y20232서울특별시 서초구 효령로 110
24서울특별시교육청강남서초교육지원청1ecec08d-0b9a-b044-e053-0a32095ab044새순유치원사립(사인)직영<NA><NA>52Y0112Y20232서울특별시 서초구 서초대로15길 57
25서울특별시교육청강남서초교육지원청1ecec08d-0e62-b044-e053-0a32095ab044서울방배초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>57Y0100Y20232서울특별시 서초구 방배중앙로13길 26
26서울특별시교육청강남서초교육지원청1fd6777e-1535-e0b0-e053-0a32095ae0b0예원유치원사립(사인)직영<NA><NA>78N<NA><NA>11Y20192서울특별시 서초구 태봉로2길 21
27서울특별시교육청강남서초교육지원청7c71b778-6703-48da-ab25-12aa540fccaf서울양재유치원공립(단설)직영<NA><NA>99Y1020Y20232서울특별시 서초구 바우뫼로18길 14
28서울특별시교육청강남서초교육지원청830ff6c0-a6e8-4d8e-9aee-9c018c1660cf서울청계숲유치원공립(단설)직영<NA><NA>75Y1011Y20232서울특별시 서초구 청계산로11길 14
29서울특별시교육청강남서초교육지원청c62c929e-a5b4-4cad-89f6-a490272463d9서울어진유치원공립(단설)직영<NA><NA>67Y1011Y20232서울특별시 서초구 태봉로2길 21