Overview

Dataset statistics

Number of variables17
Number of observations34
Missing cells71
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory146.9 B

Variable types

Categorical9
Text4
Unsupported1
Numeric1
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-20709/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 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
설립유형 is highly overall correlated with 급식운영방식구분 and 3 other fieldsHigh correlation
급식운영방식구분 is highly overall correlated with 설립유형 and 1 other fieldsHigh correlation
조리사수 is highly overall correlated with 설립유형 and 1 other fieldsHigh correlation
위탁업체명 has 33 (97.1%) missing valuesMissing
전체유아수 has 34 (100.0%) missing valuesMissing
집단급식소신고여부 has 4 (11.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
전체유아수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 19:10:53.494012
Analysis finished2024-03-13 19:10:54.428065
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
서울특별시교육청
34 

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 34
100.0%

Length

2024-03-14T04:10:54.477056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:54.545987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 34
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
동부교육지원청
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부교육지원청 34
100.0%

Length

2024-03-14T04:10:54.618122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:54.688881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 34
100.0%

유치원코드
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T04:10:54.856382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1224
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

Unique34 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed83-b044-e053-0a32095ab044
2nd row1ecec08c-ee33-b044-e053-0a32095ab044
3rd row1ecec08c-efaa-b044-e053-0a32095ab044
4th row1ecec08c-f054-b044-e053-0a32095ab044
5th row1ecec08c-f1fc-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed83-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-ee33-b044-e053-0a32095ab044 1
 
2.9%
7e75b6b8-7dcb-4645-85e7-3656fce0c528 1
 
2.9%
663b5e8a-86f7-433a-bedd-f46a8bd1c7b1 1
 
2.9%
51d03296-c765-4e9c-900f-217f6a1d50f3 1
 
2.9%
1ecec08d-0d38-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0ca9-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0ca7-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0c8c-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-fadc-b044-e053-0a32095ab044 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T04:10:55.132761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 683
55.8%
Lowercase Letter 405
33.1%
Dash Punctuation 136
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
30.5%
4 131
19.2%
3 78
 
11.4%
5 76
 
11.1%
8 47
 
6.9%
1 43
 
6.3%
9 39
 
5.7%
2 35
 
5.1%
7 13
 
1.9%
6 13
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 819
66.9%
Latin 405
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
25.4%
- 136
16.6%
4 131
16.0%
3 78
 
9.5%
5 76
 
9.3%
8 47
 
5.7%
1 43
 
5.3%
9 39
 
4.8%
2 35
 
4.3%
7 13
 
1.6%
Latin
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

유치원명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T04:10:55.315690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters238
Distinct characters65
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

Unique34 ?
Unique (%)100.0%

Sample

1st row새일문유치원
2nd row백주유치원
3rd row예일유치원
4th row삼성유치원
5th row서울전동초등학교병설유치원
ValueCountFrequency (%)
새일문유치원 1
 
2.9%
백주유치원 1
 
2.9%
서울전곡초등학교병설유치원 1
 
2.9%
정원유치원 1
 
2.9%
서울이문유치원 1
 
2.9%
경희유치원 1
 
2.9%
빛나유치원 1
 
2.9%
동안유치원 1
 
2.9%
서울군자초등학교병설유치원 1
 
2.9%
서울유치원 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T04:10:55.638422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
사립(사인)
20 
공립(병설)
7 
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(사인)
3rd row사립(사인)
4th row사립(사인)
5th row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 20
58.8%
공립(병설) 7
 
20.6%
사립(법인) 5
 
14.7%
공립(단설) 2
 
5.9%

Length

2024-03-14T04:10:55.744444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:55.821276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
58.8%
공립(병설 7
 
20.6%
사립(법인 5
 
14.7%
공립(단설 2
 
5.9%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
직영
26 
직영(학교급식)
7 
위탁
 
1

Length

Max length8
Median length2
Mean length3.2352941
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
직영 26
76.5%
직영(학교급식) 7
 
20.6%
위탁 1
 
2.9%

Length

2024-03-14T04:10:55.917302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:55.994028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 26
76.5%
직영(학교급식 7
 
20.6%
위탁 1
 
2.9%

위탁업체명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2024-03-14T04:10:56.080961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
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 row베스트푸드키즈
ValueCountFrequency (%)
베스트푸드키즈 1
100.0%
2024-03-14T04:10:56.276022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
베 1
14.3%
스 1
14.3%
트 1
14.3%
푸 1
14.3%
드 1
14.3%
키 1
14.3%
즈 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
베 1
14.3%
스 1
14.3%
트 1
14.3%
푸 1
14.3%
드 1
14.3%
키 1
14.3%
즈 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
베 1
14.3%
스 1
14.3%
트 1
14.3%
푸 1
14.3%
드 1
14.3%
키 1
14.3%
즈 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
베 1
14.3%
스 1
14.3%
트 1
14.3%
푸 1
14.3%
드 1
14.3%
키 1
14.3%
즈 1
14.3%

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

급식유아수
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.411765
Minimum18
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T04:10:56.367010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile19.95
Q134.75
median67
Q3117.25
95-th percentile172
Maximum207
Range189
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation52.781492
Coefficient of variation (CV)0.66465583
Kurtosis-0.15335026
Mean79.411765
Median Absolute Deviation (MAD)36
Skewness0.80176229
Sum2700
Variance2785.8859
MonotonicityNot monotonic
2024-03-14T04:10:56.470021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
18 2
 
5.9%
124 2
 
5.9%
67 2
 
5.9%
21 2
 
5.9%
48 1
 
2.9%
37 1
 
2.9%
207 1
 
2.9%
62 1
 
2.9%
77 1
 
2.9%
95 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
18 2
5.9%
21 2
5.9%
25 1
2.9%
26 1
2.9%
29 1
2.9%
31 1
2.9%
34 1
2.9%
37 1
2.9%
42 1
2.9%
45 1
2.9%
ValueCountFrequency (%)
207 1
2.9%
198 1
2.9%
158 1
2.9%
153 1
2.9%
151 1
2.9%
133 1
2.9%
124 2
5.9%
122 1
2.9%
103 1
2.9%
96 1
2.9%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
24 
False
10 
ValueCountFrequency (%)
True 24
70.6%
False 10
29.4%
2024-03-14T04:10:56.553696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
0
20 
<NA>
10 
1
4 

Length

Max length4
Median length1
Mean length1.8823529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
58.8%
<NA> 10
29.4%
1 4
 
11.8%

Length

2024-03-14T04:10:56.636262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:56.715939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
58.8%
na 10
29.4%
1 4
 
11.8%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
1
20 
<NA>
10 
0
4 

Length

Max length4
Median length1
Mean length1.8823529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
58.8%
<NA> 10
29.4%
0 4
 
11.8%

Length

2024-03-14T04:10:56.796252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:56.874371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
58.8%
na 10
29.4%
0 4
 
11.8%

조리사수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
1
24 
0
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
70.6%
0 10
29.4%

Length

2024-03-14T04:10:56.954556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:57.027637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
70.6%
0 10
29.4%

조리인력수
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
0
16 
1
12 
2
4 
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
47.1%
1 12
35.3%
2 4
 
11.8%
3 1
 
2.9%
4 1
 
2.9%

Length

2024-03-14T04:10:57.103765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:57.182048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
47.1%
1 12
35.3%
2 4
 
11.8%
3 1
 
2.9%
4 1
 
2.9%

집단급식소신고여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.3%
Missing4
Missing (%)11.8%
Memory size200.0 B
True
30 
(Missing)
4 
ValueCountFrequency (%)
True 30
88.2%
(Missing) 4
 
11.8%
2024-03-14T04:10:57.252598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
20232
27 
20192
4 
20202
 
2
20182
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row20232
2nd row20202
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 27
79.4%
20192 4
 
11.8%
20202 2
 
5.9%
20182 1
 
2.9%

Length

2024-03-14T04:10:57.322880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:10:57.400242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 27
79.4%
20192 4
 
11.8%
20202 2
 
5.9%
20182 1
 
2.9%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T04:10:57.562770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.441176
Min length17

Characters and Unicode

Total characters661
Distinct characters57
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

Unique34 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 장한로 165
2nd row서울특별시 동대문구 서울시립대로18길 19
3rd row서울특별시 동대문구 사가정로 190
4th row서울특별시 동대문구 사가정로 65
5th row서울특별시 동대문구 전농로16길 61
ValueCountFrequency (%)
서울특별시 34
25.0%
동대문구 34
25.0%
사가정로 4
 
2.9%
21 2
 
1.5%
20 2
 
1.5%
장안벚꽃로 2
 
1.5%
고산자로 2
 
1.5%
47 2
 
1.5%
전농로 1
 
0.7%
172 1
 
0.7%
Other values (52) 52
38.2%
2024-03-14T04:10:57.882661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
15.4%
대 36
 
5.4%
시 36
 
5.4%
문 36
 
5.4%
서 35
 
5.3%
울 35
 
5.3%
구 34
 
5.1%
로 34
 
5.1%
동 34
 
5.1%
별 34
 
5.1%
Other values (47) 245
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
67.5%
Decimal Number 112
 
16.9%
Space Separator 102
 
15.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%
Decimal Number
ValueCountFrequency (%)
1 21
18.8%
2 17
15.2%
6 15
13.4%
5 11
9.8%
4 10
8.9%
3 10
8.9%
7 8
 
7.1%
8 7
 
6.2%
0 7
 
6.2%
9 6
 
5.4%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
67.5%
Common 215
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%
Common
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
67.5%
ASCII 215
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%

Interactions

2024-03-14T04:10:53.998990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T04:10:57.964084image/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
설립유형1.0001.0001.0000.6520.3470.3880.8550.8550.9390.3140.3331.000
급식운영방식구분1.0001.0000.6521.0000.0000.2060.0000.0000.5800.3150.0001.000
급식유아수1.0001.0000.3470.0001.0000.4770.1580.1580.3070.6400.0001.000
영양교사배치여부1.0001.0000.3880.2060.4771.000NaNNaN0.0000.0660.6021.000
단독배치영양교사수1.0001.0000.8550.0000.158NaN1.0000.9700.0000.4350.0001.000
공동배치영양교사수1.0001.0000.8550.0000.158NaN0.9701.0000.0000.4350.0001.000
조리사수1.0001.0000.9390.5800.3070.0000.0000.0001.0000.2460.0001.000
조리인력수1.0001.0000.3140.3150.6400.0660.4350.4350.2461.0000.0001.000
공시차수1.0001.0000.3330.0000.0000.6020.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T04:10:58.069825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수공시차수급식운영방식구분영양교사배치여부공동배치영양교사수조리인력수설립유형조리사수
단독배치영양교사수1.0000.0000.0001.0000.8430.4860.6220.000
공시차수0.0001.0000.0000.4000.0000.0000.1240.000
급식운영방식구분0.0000.0001.0000.3300.0000.2350.6650.836
영양교사배치여부1.0000.4000.3301.0001.0000.0480.2470.000
공동배치영양교사수0.8430.0000.0001.0001.0000.4860.6220.000
조리인력수0.4860.0000.2350.0480.4861.0000.2490.280
설립유형0.6220.1240.6650.2470.6220.2491.0000.752
조리사수0.0000.0000.8360.0000.0000.2800.7521.000
2024-03-14T04:10:58.159573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수공시차수
급식유아수1.0000.1900.0000.4150.0480.0480.2590.3980.000
설립유형0.1901.0000.6650.2470.6220.6220.7520.2490.124
급식운영방식구분0.0000.6651.0000.3300.0000.0000.8360.2350.000
영양교사배치여부0.4150.2470.3301.0001.0001.0000.0000.0480.400
단독배치영양교사수0.0480.6220.0001.0001.0000.8430.0000.4860.000
공동배치영양교사수0.0480.6220.0001.0000.8431.0000.0000.4860.000
조리사수0.2590.7520.8360.0000.0000.0001.0000.2800.000
조리인력수0.3980.2490.2350.0480.4860.4860.2801.0000.000
공시차수0.0000.1240.0000.4000.0000.0000.0000.0001.000

Missing values

2024-03-14T04:10:54.108595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T04:10:54.272934image/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.
2024-03-14T04:10:54.377413image/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

교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
0서울특별시교육청동부교육지원청1ecec08c-ed83-b044-e053-0a32095ab044새일문유치원사립(사인)위탁베스트푸드키즈<NA>48N<NA><NA>00Y20232서울특별시 동대문구 장한로 165
1서울특별시교육청동부교육지원청1ecec08c-ee33-b044-e053-0a32095ab044백주유치원사립(사인)직영<NA><NA>42N<NA><NA>10Y20202서울특별시 동대문구 서울시립대로18길 19
2서울특별시교육청동부교육지원청1ecec08c-efaa-b044-e053-0a32095ab044예일유치원사립(사인)직영<NA><NA>124Y1011Y20232서울특별시 동대문구 사가정로 190
3서울특별시교육청동부교육지원청1ecec08c-f054-b044-e053-0a32095ab044삼성유치원사립(사인)직영<NA><NA>198Y0112Y20232서울특별시 동대문구 사가정로 65
4서울특별시교육청동부교육지원청1ecec08c-f1fc-b044-e053-0a32095ab044서울전동초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>45Y0100Y20232서울특별시 동대문구 전농로16길 61
5서울특별시교육청동부교육지원청1ecec08c-f1fd-b044-e053-0a32095ab044자람유치원사립(사인)직영<NA><NA>34N<NA><NA>10<NA>20192서울특별시 동대문구 고산자로 534
6서울특별시교육청동부교육지원청1ecec08c-f491-b044-e053-0a32095ab044서울휘경유치원공립(단설)직영<NA><NA>94Y1011Y20232서울특별시 동대문구 망우로6길 48
7서울특별시교육청동부교육지원청1ecec08c-f895-b044-e053-0a32095ab044한양유치원사립(사인)직영<NA><NA>67Y0110Y20192서울특별시 동대문구 답십리로 184
8서울특별시교육청동부교육지원청1ecec08c-f8dc-b044-e053-0a32095ab044세하유치원사립(사인)직영<NA><NA>96Y0112Y20232서울특별시 동대문구 장안벚꽃로 107
9서울특별시교육청동부교육지원청1ecec08c-fadc-b044-e053-0a32095ab044서울유치원사립(사인)직영<NA><NA>91Y0110Y20202서울특별시 동대문구 한천로58길 47
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
24서울특별시교육청동부교육지원청1ecec08d-0c05-b044-e053-0a32095ab044새소리유치원사립(사인)직영<NA><NA>207Y1014Y20232서울특별시 동대문구 사가정로 148
25서울특별시교육청동부교육지원청1ecec08d-0c08-b044-e053-0a32095ab044서울답십리초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>62Y0100Y20232서울특별시 동대문구 전농로3길 23
26서울특별시교육청동부교육지원청1ecec08d-0c8c-b044-e053-0a32095ab044서울군자초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>77Y0100Y20232서울특별시 동대문구 한천로6길 21
27서울특별시교육청동부교육지원청1ecec08d-0ca7-b044-e053-0a32095ab044동안유치원사립(사인)직영<NA><NA>95Y0111Y20232서울특별시 동대문구 회기로25길 67
28서울특별시교육청동부교육지원청1ecec08d-0ca9-b044-e053-0a32095ab044빛나유치원사립(법인)직영<NA><NA>26N<NA><NA>10<NA>20182서울특별시 동대문구 전농로23길 47
29서울특별시교육청동부교육지원청1ecec08d-0d38-b044-e053-0a32095ab044경희유치원사립(법인)직영<NA><NA>153Y0111Y20232서울특별시 동대문구 경희대로 26
30서울특별시교육청동부교육지원청51d03296-c765-4e9c-900f-217f6a1d50f3서울이문유치원공립(단설)직영<NA><NA>103Y1011Y20232서울특별시 동대문구 신이문로 16
31서울특별시교육청동부교육지원청663b5e8a-86f7-433a-bedd-f46a8bd1c7b1정원유치원사립(사인)직영<NA><NA>122Y0112Y20232서울특별시 동대문구 사가정로 276-19
32서울특별시교육청동부교육지원청7e75b6b8-7dcb-4645-85e7-3656fce0c528서울전곡초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>29Y0100Y20232서울특별시 동대문구 전농로 172
33서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)직영<NA><NA>51N<NA><NA>10Y20232서울특별시 동대문구 답십리로48길 56