Overview

Dataset statistics

Number of variables17
Number of observations38
Missing cells75
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory146.5 B

Variable types

Categorical8
Text4
Unsupported1
Numeric2
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20728/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
위탁업체명 has constant value ""Constant
집단급식소신고여부 has constant value ""Constant
단독배치영양교사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
영양교사배치여부 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
공동배치영양교사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
급식유아수 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
설립유형 is highly overall correlated with 급식운영방식구분High correlation
급식운영방식구분 is highly overall correlated with 설립유형High correlation
공시차수 is highly imbalanced (54.8%)Imbalance
위탁업체명 has 37 (97.4%) missing valuesMissing
전체유아수 has 38 (100.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
전체유아수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조리인력수 has 17 (44.7%) zerosZeros

Reproduction

Analysis started2024-03-13 08:11:28.923150
Analysis finished2024-03-13 08:11:30.062500
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-13T17:11:30.139314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:30.218475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
강동송파교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

Length

2024-03-13T17:11:30.303074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:30.408520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:11:30.610984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed95-b044-e053-0a32095ab044
2nd row1ecec08c-ef39-b044-e053-0a32095ab044
3rd row1ecec08c-f123-b044-e053-0a32095ab044
4th row1ecec08c-f12c-b044-e053-0a32095ab044
5th row1ecec08c-f289-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed95-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0b24-b044-e053-0a32095ab044 1
 
2.6%
dc3c0174-def5-4b61-a69d-19ff119cdf2e 1
 
2.6%
1ecec08d-01d7-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-028f-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-029f-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0409-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04f4-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08dd-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c15-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T17:11:30.911750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
56.4%
Lowercase Letter 444
32.5%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
28.0%
4 150
19.4%
3 88
11.4%
5 80
 
10.4%
1 56
 
7.3%
9 53
 
6.9%
8 52
 
6.7%
2 51
 
6.6%
7 17
 
2.2%
6 9
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
67.5%
Latin 444
32.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 216
23.4%
- 152
16.5%
4 150
16.2%
3 88
9.5%
5 80
 
8.7%
1 56
 
6.1%
9 53
 
5.7%
8 52
 
5.6%
2 51
 
5.5%
7 17
 
1.8%
Latin
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:11:31.121357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.7631579
Min length5

Characters and Unicode

Total characters295
Distinct characters60
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

Unique38 ?
Unique (%)100.0%

Sample

1st row송원유치원
2nd row한영중고등학교병설한영유치원
3rd row준현유치원
4th row고덕유치원
5th row예슬유치원
ValueCountFrequency (%)
송원유치원 1
 
2.6%
구강사금강유치원 1
 
2.6%
서울고일초등학교병설유치원 1
 
2.6%
은새유치원 1
 
2.6%
유정유치원 1
 
2.6%
돌샘유치원 1
 
2.6%
한성유치원 1
 
2.6%
가람유치원 1
 
2.6%
서울선린초등학교병설유치원 1
 
2.6%
그리새유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T17:11:31.409897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
10 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 10
26.3%
사립(법인) 5
 
13.2%
공립(단설) 2
 
5.3%

Length

2024-03-13T17:11:31.534910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:31.622612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 10
26.3%
사립(법인 5
 
13.2%
공립(단설 2
 
5.3%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
직영
26 
직영(학교급식)
9 
공동
 
2
위탁
 
1

Length

Max length8
Median length2
Mean length3.4210526
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row직영
2nd row공동
3rd row직영
4th row직영
5th row직영

Common Values

ValueCountFrequency (%)
직영 26
68.4%
직영(학교급식) 9
 
23.7%
공동 2
 
5.3%
위탁 1
 
2.6%

Length

2024-03-13T17:11:31.722814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:31.820107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 26
68.4%
직영(학교급식 9
 
23.7%
공동 2
 
5.3%
위탁 1
 
2.6%

위탁업체명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2024-03-13T17:11:31.928554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row아이그린푸드
ValueCountFrequency (%)
아이그린푸드 1
100.0%
2024-03-13T17:11:32.140728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1
16.7%
이 1
16.7%
그 1
16.7%
린 1
16.7%
푸 1
16.7%
드 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1
16.7%
이 1
16.7%
그 1
16.7%
린 1
16.7%
푸 1
16.7%
드 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1
16.7%
이 1
16.7%
그 1
16.7%
린 1
16.7%
푸 1
16.7%
드 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1
16.7%
이 1
16.7%
그 1
16.7%
린 1
16.7%
푸 1
16.7%
드 1
16.7%

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

급식유아수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.84211
Minimum14
Maximum409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:11:32.247512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile37
Q163
median101.5
Q3140
95-th percentile249.75
Maximum409
Range395
Interquartile range (IQR)77

Descriptive statistics

Standard deviation84.584366
Coefficient of variation (CV)0.73016945
Kurtosis5.2482048
Mean115.84211
Median Absolute Deviation (MAD)38.5
Skewness2.0820843
Sum4402
Variance7154.5149
MonotonicityNot monotonic
2024-03-13T17:11:32.354782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
110 2
 
5.3%
58 2
 
5.3%
54 2
 
5.3%
63 2
 
5.3%
140 2
 
5.3%
156 1
 
2.6%
40 1
 
2.6%
127 1
 
2.6%
144 1
 
2.6%
69 1
 
2.6%
Other values (23) 23
60.5%
ValueCountFrequency (%)
14 1
2.6%
20 1
2.6%
40 1
2.6%
42 1
2.6%
52 1
2.6%
54 2
5.3%
58 2
5.3%
63 2
5.3%
64 1
2.6%
68 1
2.6%
ValueCountFrequency (%)
409 1
2.6%
390 1
2.6%
225 1
2.6%
219 1
2.6%
192 1
2.6%
162 1
2.6%
156 1
2.6%
155 1
2.6%
144 1
2.6%
140 2
5.3%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
31 
False
7 
ValueCountFrequency (%)
True 31
81.6%
False 7
 
18.4%
2024-03-13T17:11:32.458403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
23 
1
8 
<NA>
7 

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
60.5%
1 8
 
21.1%
<NA> 7
 
18.4%

Length

2024-03-13T17:11:32.548157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:32.686783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
60.5%
1 8
 
21.1%
na 7
 
18.4%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
23 
0
8 
<NA>
7 

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
60.5%
0 8
 
21.1%
<NA> 7
 
18.4%

Length

2024-03-13T17:11:32.796773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:32.895285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
60.5%
0 8
 
21.1%
na 7
 
18.4%

조리사수
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
27 
0
7 
2
3 
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
71.1%
0 7
 
18.4%
2 3
 
7.9%
8 1
 
2.6%

Length

2024-03-13T17:11:32.983997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:33.066329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
71.1%
0 7
 
18.4%
2 3
 
7.9%
8 1
 
2.6%

조리인력수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3684211
Minimum0
Maximum8
Zeros17
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:11:33.146048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8515304
Coefficient of variation (CV)1.3530415
Kurtosis3.3932146
Mean1.3684211
Median Absolute Deviation (MAD)1
Skewness1.7704318
Sum52
Variance3.428165
MonotonicityNot monotonic
2024-03-13T17:11:33.238800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 17
44.7%
1 9
23.7%
2 4
 
10.5%
3 3
 
7.9%
5 2
 
5.3%
4 2
 
5.3%
8 1
 
2.6%
ValueCountFrequency (%)
0 17
44.7%
1 9
23.7%
2 4
 
10.5%
3 3
 
7.9%
4 2
 
5.3%
5 2
 
5.3%
8 1
 
2.6%
ValueCountFrequency (%)
8 1
 
2.6%
5 2
 
5.3%
4 2
 
5.3%
3 3
 
7.9%
2 4
 
10.5%
1 9
23.7%
0 17
44.7%

집단급식소신고여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
38 
ValueCountFrequency (%)
True 38
100.0%
2024-03-13T17:11:33.342188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20232
31 
20182
 
2
20202
 
2
20212
 
2
20192
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row20182
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 31
81.6%
20182 2
 
5.3%
20202 2
 
5.3%
20212 2
 
5.3%
20192 1
 
2.6%

Length

2024-03-13T17:11:33.423747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:11:33.511326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 31
81.6%
20182 2
 
5.3%
20202 2
 
5.3%
20212 2
 
5.3%
20192 1
 
2.6%

주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:11:33.700881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.394737
Min length16

Characters and Unicode

Total characters737
Distinct characters49
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

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 강동구 성안로 64
2nd row서울특별시 강동구 동남로 832
3rd row서울특별시 강동구 성내로3가길 61
4th row서울특별시 강동구 구천면로 645
5th row서울특별시 강동구 상암로 11
ValueCountFrequency (%)
서울특별시 38
25.0%
강동구 38
25.0%
구천면로 4
 
2.6%
고덕로97길 2
 
1.3%
80 2
 
1.3%
고덕로 2
 
1.3%
64 2
 
1.3%
천호대로187길 2
 
1.3%
상암로63길 2
 
1.3%
53 2
 
1.3%
Other values (58) 58
38.2%
2024-03-13T17:11:34.027701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.5%
구 44
 
6.0%
동 42
 
5.7%
강 39
 
5.3%
서 38
 
5.2%
특 38
 
5.2%
별 38
 
5.2%
시 38
 
5.2%
울 38
 
5.2%
로 37
 
5.0%
Other values (39) 271
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
62.4%
Decimal Number 155
 
21.0%
Space Separator 114
 
15.5%
Dash Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%
Decimal Number
ValueCountFrequency (%)
1 30
19.4%
3 25
16.1%
6 20
12.9%
8 15
9.7%
9 13
8.4%
2 12
 
7.7%
5 11
 
7.1%
0 11
 
7.1%
4 10
 
6.5%
7 8
 
5.2%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
62.4%
Common 277
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%
Common
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
5 11
 
4.0%
0 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
62.4%
ASCII 277
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
5 11
 
4.0%
0 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%
Hangul
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%

Interactions

2024-03-13T17:11:29.605753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:11:29.447915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:11:29.687747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:11:29.525938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T17:11:34.116759image/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
설립유형1.0001.0001.0000.8490.4070.2730.6550.6550.5210.2440.0000.000
급식운영방식구분1.0001.0000.8491.0000.1330.5150.2250.2250.7480.1050.0000.912
급식유아수1.0001.0000.4070.1331.0000.4270.5790.5790.3530.7570.0001.000
영양교사배치여부1.0001.0000.2730.5150.4271.000NaNNaN0.0000.0830.0001.000
단독배치영양교사수1.0001.0000.6550.2250.579NaN1.0000.9910.4110.3980.0000.000
공동배치영양교사수1.0001.0000.6550.2250.579NaN0.9911.0000.4110.3980.0000.000
조리사수1.0001.0000.5210.7480.3530.0000.4110.4111.0000.1570.0000.873
조리인력수1.0001.0000.2440.1050.7570.0830.3980.3980.1571.0000.0000.973
공시차수1.0001.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.000
주소1.0001.0000.0000.9121.0001.0000.0000.0000.8730.9730.0001.000
2024-03-13T17:11:34.241736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수공시차수급식운영방식구분영양교사배치여부공동배치영양교사수설립유형조리사수
단독배치영양교사수1.0000.0000.3591.0000.9130.4400.261
공시차수0.0001.0000.0000.0000.0000.0000.000
급식운영방식구분0.3590.0001.0000.3370.3590.5010.383
영양교사배치여부1.0000.0000.3371.0001.0000.1710.000
공동배치영양교사수0.9130.0000.3591.0001.0000.4400.261
설립유형0.4400.0000.5010.1710.4401.0000.220
조리사수0.2610.0000.3830.0000.2610.2201.000
2024-03-13T17:11:34.359962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수조리인력수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수공시차수
급식유아수1.0000.4780.2700.0550.4210.5620.5620.2290.000
조리인력수0.4781.0000.1470.0120.0490.3810.3810.0780.000
설립유형0.2700.1471.0000.5010.1710.4400.4400.2200.000
급식운영방식구분0.0550.0120.5011.0000.3370.3590.3590.3830.000
영양교사배치여부0.4210.0490.1710.3371.0001.0001.0000.0000.000
단독배치영양교사수0.5620.3810.4400.3591.0001.0000.9130.2610.000
공동배치영양교사수0.5620.3810.4400.3591.0000.9131.0000.2610.000
조리사수0.2290.0780.2200.3830.0000.2610.2611.0000.000
공시차수0.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2024-03-13T17:11:29.813171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T17:11:29.990040image/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
0서울특별시교육청강동송파교육지원청1ecec08c-ed95-b044-e053-0a32095ab044송원유치원사립(사인)직영<NA><NA>110Y0110Y20182서울특별시 강동구 성안로 64
1서울특별시교육청강동송파교육지원청1ecec08c-ef39-b044-e053-0a32095ab044한영중고등학교병설한영유치원사립(법인)공동<NA><NA>162Y0112Y20232서울특별시 강동구 동남로 832
2서울특별시교육청강동송파교육지원청1ecec08c-f123-b044-e053-0a32095ab044준현유치원사립(사인)직영<NA><NA>140Y0111Y20232서울특별시 강동구 성내로3가길 61
3서울특별시교육청강동송파교육지원청1ecec08c-f12c-b044-e053-0a32095ab044고덕유치원사립(법인)직영<NA><NA>98Y0110Y20232서울특별시 강동구 구천면로 645
4서울특별시교육청강동송파교육지원청1ecec08c-f289-b044-e053-0a32095ab044예슬유치원사립(사인)직영<NA><NA>156Y0113Y20232서울특별시 강동구 상암로 11
5서울특별시교육청강동송파교육지원청1ecec08c-f337-b044-e053-0a32095ab044서울고명초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>40Y0100Y20232서울특별시 강동구 고덕로46길 53
6서울특별시교육청강동송파교육지원청1ecec08c-f338-b044-e053-0a32095ab044서울명일유치원공립(단설)직영<NA><NA>96Y1011Y20232서울특별시 강동구 암사19길 53
7서울특별시교육청강동송파교육지원청1ecec08c-f33c-b044-e053-0a32095ab044성보나유치원사립(법인)직영<NA><NA>64N<NA><NA>10Y20232서울특별시 강동구 고덕로83길 68
8서울특별시교육청강동송파교육지원청1ecec08c-f426-b044-e053-0a32095ab044오송유치원사립(사인)직영<NA><NA>113Y1011Y20232서울특별시 강동구 구천면로39길 26
9서울특별시교육청강동송파교육지원청1ecec08c-f4c7-b044-e053-0a32095ab044반석유치원사립(사인)직영<NA><NA>81N<NA><NA>10Y20232서울특별시 강동구 양재대로124길 89-18
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
28서울특별시교육청강동송파교육지원청1ecec08d-0b38-b044-e053-0a32095ab044서울천호초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>42Y0115Y20232서울특별시 강동구 구천면로 310-11
29서울특별시교육청강동송파교육지원청1ecec08d-0c15-b044-e053-0a32095ab044그리새유치원사립(사인)직영<NA><NA>68N<NA><NA>10Y20212서울특별시 강동구 천호대로187길 53-18
30서울특별시교육청강동송파교육지원청1ecec08d-0d55-b044-e053-0a32095ab044천호유치원사립(법인)직영<NA><NA>192Y0120Y20232서울특별시 강동구 구천면로 236-1
31서울특별시교육청강동송파교육지원청1ecec08d-0eee-b044-e053-0a32095ab044고덕한울유치원사립(사인)직영<NA><NA>63Y0110Y20202서울특별시 강동구 양재대로 1706
32서울특별시교육청강동송파교육지원청384943bc-313e-465b-b2ef-76a20afa6dda서울고현초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>54Y0113Y20232서울특별시 강동구 상일로11길 110
33서울특별시교육청강동송파교육지원청4f559f09-9ed1-4997-8dac-73a60b15573b서울강솔유치원공립(단설)직영<NA><NA>119Y1011Y20232서울특별시 강동구 고덕로97길 80
34서울특별시교육청강동송파교육지원청8cd5853a-2caf-4ed7-89dd-c505aac27823선아유치원사립(사인)직영<NA><NA>69Y0111Y20232서울특별시 강동구 구천면로 650
35서울특별시교육청강동송파교육지원청c331985b-b881-4725-9fc3-6e80741044d9서울강빛초등학교병설유치원공립(병설)직영<NA><NA>144Y1011Y20232서울특별시 강동구 아리수로93다길 1
36서울특별시교육청강동송파교육지원청dc3c0174-def5-4b61-a69d-19ff119cdf2e서울고일초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>54Y0100Y20232서울특별시 강동구 구천면로93길 20
37서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>127Y0100Y20192서울특별시 강동구 고덕로97길 80