Overview

Dataset statistics

Number of variables17
Number of observations61
Missing cells122
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory146.2 B

Variable types

Categorical8
Text3
Unsupported2
Numeric3
Boolean1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20719/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
단독배치영양교사수 is highly overall correlated with 설립유형 and 3 other fieldsHigh correlation
영양교사배치여부 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
공동배치영양교사수 is highly overall correlated with 설립유형 and 3 other fieldsHigh correlation
집단급식소신고여부 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
급식유아수 is highly overall correlated with 조리인력수High correlation
조리인력수 is highly overall correlated with 급식유아수High 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 설립유형 and 1 other fieldsHigh correlation
집단급식소신고여부 is highly imbalanced (79.3%)Imbalance
위탁업체명 has 61 (100.0%) missing valuesMissing
전체유아수 has 61 (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 2 (3.3%) zerosZeros
조리인력수 has 24 (39.3%) zerosZeros

Reproduction

Analysis started2024-03-13 18:57:57.601920
Analysis finished2024-03-13 18:57:59.012105
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
서울특별시교육청
61 

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 61
100.0%

Length

2024-03-14T03:57:59.058891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:57:59.342836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 61
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강서양천교육지원청
61 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

Length

2024-03-14T03:57:59.414352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:57:59.483263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

유치원코드
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-14T03:57:59.645063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2196
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

Unique61 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed82-b044-e053-0a32095ab044
2nd row1ecec08c-eec6-b044-e053-0a32095ab044
3rd row1ecec08c-eec7-b044-e053-0a32095ab044
4th row1ecec08c-ef9c-b044-e053-0a32095ab044
5th row1ecec08c-f199-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed82-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-04c7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-05b9-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-06b7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08ba-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08bd-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0993-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-09f0-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0b2b-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0c02-b044-e053-0a32095ab044 1
 
1.6%
Other values (51) 51
83.6%
2024-03-14T03:57:59.920001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1226
55.8%
Lowercase Letter 726
33.1%
Dash Punctuation 244
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
26.5%
4 218
17.8%
5 138
11.3%
3 131
10.7%
8 88
 
7.2%
9 87
 
7.1%
1 81
 
6.6%
2 78
 
6.4%
7 44
 
3.6%
6 36
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
66.9%
Latin 726
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
22.1%
- 244
16.6%
4 218
14.8%
5 138
9.4%
3 131
8.9%
8 88
 
6.0%
9 87
 
5.9%
1 81
 
5.5%
2 78
 
5.3%
7 44
 
3.0%
Latin
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

유치원명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-14T03:58:00.109288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.4098361
Min length5

Characters and Unicode

Total characters452
Distinct characters83
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

Unique61 ?
Unique (%)100.0%

Sample

1st row서울공항초등학교병설유치원
2nd row한나유치원
3rd row화곡유치원
4th row선미유치원
5th row서울공진초등학교병설유치원
ValueCountFrequency (%)
서울공항초등학교병설유치원 1
 
1.6%
동그라미유치원 1
 
1.6%
등촌제일유치원 1
 
1.6%
미래클유치원 1
 
1.6%
장미유치원 1
 
1.6%
홍신유치원 1
 
1.6%
아람유치원 1
 
1.6%
서울화일초등학교병설유치원 1
 
1.6%
윤서유치원 1
 
1.6%
미도유치원 1
 
1.6%
Other values (51) 51
83.6%
2024-03-14T03:58:00.376474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
사립(사인)
39 
공립(병설)
15 
사립(법인)
4 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 39
63.9%
공립(병설) 15
 
24.6%
사립(법인) 4
 
6.6%
공립(단설) 3
 
4.9%

Length

2024-03-14T03:58:00.478475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:58:00.560652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 39
63.9%
공립(병설 15
 
24.6%
사립(법인 4
 
6.6%
공립(단설 3
 
4.9%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
직영
44 
직영(학교급식)
15 
혼합
 
2

Length

Max length8
Median length2
Mean length3.4754098
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직영 44
72.1%
직영(학교급식) 15
 
24.6%
혼합 2
 
3.3%

Length

2024-03-14T03:58:00.654614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:58:00.728730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 44
72.1%
직영(학교급식 15
 
24.6%
혼합 2
 
3.3%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

급식유아수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct50
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.639344
Minimum0
Maximum331
Zeros2
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-14T03:58:00.814140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q138
median62
Q3101
95-th percentile166
Maximum331
Range331
Interquartile range (IQR)63

Descriptive statistics

Standard deviation58.608029
Coefficient of variation (CV)0.76472509
Kurtosis4.7439391
Mean76.639344
Median Absolute Deviation (MAD)32
Skewness1.6722329
Sum4675
Variance3434.9011
MonotonicityNot monotonic
2024-03-14T03:58:00.919100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 4
 
6.6%
148 3
 
4.9%
75 2
 
3.3%
0 2
 
3.3%
29 2
 
3.3%
17 2
 
3.3%
87 2
 
3.3%
58 2
 
3.3%
102 1
 
1.6%
31 1
 
1.6%
Other values (40) 40
65.6%
ValueCountFrequency (%)
0 2
3.3%
5 1
1.6%
7 1
1.6%
12 1
1.6%
17 2
3.3%
20 1
1.6%
21 1
1.6%
23 1
1.6%
27 1
1.6%
29 2
3.3%
ValueCountFrequency (%)
331 1
 
1.6%
198 1
 
1.6%
194 1
 
1.6%
166 1
 
1.6%
158 1
 
1.6%
148 3
4.9%
144 1
 
1.6%
142 1
 
1.6%
134 1
 
1.6%
122 1
 
1.6%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size193.0 B
True
37 
False
24 
ValueCountFrequency (%)
True 37
60.7%
False 24
39.3%
2024-03-14T03:58:01.030832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
0
30 
<NA>
24 
1
7 

Length

Max length4
Median length1
Mean length2.1803279
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
49.2%
<NA> 24
39.3%
1 7
 
11.5%

Length

2024-03-14T03:58:01.127280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:58:01.207371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
49.2%
na 24
39.3%
1 7
 
11.5%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
30 
<NA>
24 
0
7 

Length

Max length4
Median length1
Mean length2.1803279
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
49.2%
<NA> 24
39.3%
0 7
 
11.5%

Length

2024-03-14T03:58:01.292329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:58:01.374768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
49.2%
na 24
39.3%
0 7
 
11.5%

조리사수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
43 
0
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
70.5%
0 18
29.5%

Length

2024-03-14T03:58:01.454387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:58:01.543209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
70.5%
0 18
29.5%

조리인력수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0983607
Minimum0
Maximum10
Zeros24
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-14T03:58:01.611544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5133288
Coefficient of variation (CV)1.3778068
Kurtosis19.432673
Mean1.0983607
Median Absolute Deviation (MAD)1
Skewness3.6165702
Sum67
Variance2.2901639
MonotonicityNot monotonic
2024-03-14T03:58:01.692586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
39.3%
1 20
32.8%
2 12
19.7%
3 3
 
4.9%
10 1
 
1.6%
4 1
 
1.6%
ValueCountFrequency (%)
0 24
39.3%
1 20
32.8%
2 12
19.7%
3 3
 
4.9%
4 1
 
1.6%
10 1
 
1.6%
ValueCountFrequency (%)
10 1
 
1.6%
4 1
 
1.6%
3 3
 
4.9%
2 12
19.7%
1 20
32.8%
0 24
39.3%

집단급식소신고여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
Y
58 
X
 
2
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0491803
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
Y 58
95.1%
X 2
 
3.3%
<NA> 1
 
1.6%

Length

2024-03-14T03:58:01.780145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:58:01.859088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 58
95.1%
x 2
 
3.3%
na 1
 
1.6%

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226.361
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-14T03:58:01.926298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20191
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.71378
Coefficient of variation (CV)0.0006780152
Kurtosis4.2220024
Mean20226.361
Median Absolute Deviation (MAD)0
Skewness-2.3704251
Sum1233808
Variance188.06776
MonotonicityNot monotonic
2024-03-14T03:58:02.010230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20232 49
80.3%
20222 3
 
4.9%
20191 2
 
3.3%
20192 2
 
3.3%
20182 2
 
3.3%
20212 1
 
1.6%
20231 1
 
1.6%
20201 1
 
1.6%
ValueCountFrequency (%)
20182 2
 
3.3%
20191 2
 
3.3%
20192 2
 
3.3%
20201 1
 
1.6%
20212 1
 
1.6%
20222 3
 
4.9%
20231 1
 
1.6%
20232 49
80.3%
ValueCountFrequency (%)
20232 49
80.3%
20231 1
 
1.6%
20222 3
 
4.9%
20212 1
 
1.6%
20201 1
 
1.6%
20192 2
 
3.3%
20191 2
 
3.3%
20182 2
 
3.3%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-14T03:58:02.220165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.885246
Min length15

Characters and Unicode

Total characters1152
Distinct characters58
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

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강서구 마곡서1로 68
2nd row서울특별시 강서구 금낭화로 287-19
3rd row서울특별시 강서구 까치산로 60
4th row서울특별시 강서구 까치산로2길 43
5th row서울특별시 강서구 마곡서로 33
ValueCountFrequency (%)
서울특별시 61
25.0%
강서구 61
25.0%
허준로 9
 
3.7%
39 3
 
1.2%
금낭화로 3
 
1.2%
강서로 3
 
1.2%
까치산로 2
 
0.8%
8 2
 
0.8%
마곡서1로 2
 
0.8%
4 2
 
0.8%
Other values (88) 96
39.3%
2024-03-14T03:58:02.554602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
15.9%
서 135
 
11.7%
강 71
 
6.2%
특 61
 
5.3%
별 61
 
5.3%
시 61
 
5.3%
구 61
 
5.3%
울 61
 
5.3%
로 61
 
5.3%
1 43
 
3.7%
Other values (48) 354
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
64.6%
Decimal Number 219
 
19.0%
Space Separator 183
 
15.9%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Decimal Number
ValueCountFrequency (%)
1 43
19.6%
3 35
16.0%
6 26
11.9%
4 22
10.0%
2 21
9.6%
7 16
 
7.3%
0 15
 
6.8%
5 14
 
6.4%
8 14
 
6.4%
9 13
 
5.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
64.6%
Common 408
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Common
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
64.6%
ASCII 408
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%
Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%

Interactions

2024-03-14T03:57:58.512054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.134440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.316268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.574860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.195123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.383671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.633009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.253310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:57:58.447441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T03:58:02.645890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형급식운영방식구분급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.6640.2720.6860.8460.8460.8230.4610.0000.0000.000
급식운영방식구분1.0001.0000.6641.0000.3050.2890.4380.4380.4030.7440.0000.5811.000
급식유아수1.0001.0000.2720.3051.0000.2920.4930.4930.3800.2420.1140.0000.000
영양교사배치여부1.0001.0000.6860.2890.2921.000NaNNaN0.0000.0000.0860.0861.000
단독배치영양교사수1.0001.0000.8460.4380.493NaN1.0000.9900.3170.555NaN0.0000.000
공동배치영양교사수1.0001.0000.8460.4380.493NaN0.9901.0000.3170.555NaN0.0000.000
조리사수1.0001.0000.8230.4030.3800.0000.3170.3171.0000.6490.2240.1781.000
조리인력수1.0001.0000.4610.7440.2420.0000.5550.5550.6491.0000.0000.0000.987
집단급식소신고여부1.0001.0000.0000.0000.1140.086NaNNaN0.2240.0001.0000.2401.000
공시차수1.0001.0000.0000.5810.0000.0860.0000.0000.1780.0000.2401.0000.000
주소1.0001.0000.0001.0000.0001.0000.0000.0001.0000.9871.0000.0001.000
2024-03-14T03:58:02.764321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수급식운영방식구분영양교사배치여부공동배치영양교사수설립유형조리사수집단급식소신고여부
단독배치영양교사수1.0000.2871.0000.9090.6230.2041.000
급식운영방식구분0.2871.0000.4630.2870.6850.6290.000
영양교사배치여부1.0000.4631.0001.0000.4760.0000.052
공동배치영양교사수0.9090.2871.0001.0000.6230.2041.000
설립유형0.6230.6850.4760.6231.0000.6060.000
조리사수0.2040.6290.0000.2040.6061.0000.143
집단급식소신고여부1.0000.0000.0521.0000.0000.1431.000
2024-03-14T03:58:02.854284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수조리인력수공시차수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수집단급식소신고여부
급식유아수1.0000.5090.2220.1800.2030.2960.4860.4860.3880.109
조리인력수0.5091.0000.2940.0850.1670.0000.0000.0000.3110.000
공시차수0.2220.2941.0000.0000.5100.0000.0000.0000.1760.254
설립유형0.1800.0850.0001.0000.6850.4760.6230.6230.6060.000
급식운영방식구분0.2030.1670.5100.6851.0000.4630.2870.2870.6290.000
영양교사배치여부0.2960.0000.0000.4760.4631.0001.0001.0000.0000.052
단독배치영양교사수0.4860.0000.0000.6230.2871.0001.0000.9090.2041.000
공동배치영양교사수0.4860.0000.0000.6230.2871.0000.9091.0000.2041.000
조리사수0.3880.3110.1760.6060.6290.0000.2040.2041.0000.143
집단급식소신고여부0.1090.0000.2540.0000.0000.0521.0001.0000.1431.000

Missing values

2024-03-14T03:57:58.733449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T03:57:58.949723image/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
0서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>75Y01110Y20232서울특별시 강서구 마곡서1로 68
1서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)직영<NA><NA>49N<NA><NA>11Y20232서울특별시 강서구 금낭화로 287-19
2서울특별시교육청강서양천교육지원청1ecec08c-eec7-b044-e053-0a32095ab044화곡유치원사립(법인)직영<NA><NA>12N<NA><NA>10Y20232서울특별시 강서구 까치산로 60
3서울특별시교육청강서양천교육지원청1ecec08c-ef9c-b044-e053-0a32095ab044선미유치원사립(법인)직영<NA><NA>87Y0112Y20232서울특별시 강서구 까치산로2길 43
4서울특별시교육청강서양천교육지원청1ecec08c-f199-b044-e053-0a32095ab044서울공진초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>58Y0100Y20232서울특별시 강서구 마곡서로 33
5서울특별시교육청강서양천교육지원청1ecec08c-f1fa-b044-e053-0a32095ab044보라유치원사립(사인)직영<NA><NA>84Y0111Y20232서울특별시 강서구 공항대로39길 100
6서울특별시교육청강서양천교육지원청1ecec08c-f1fb-b044-e053-0a32095ab044서강유치원사립(사인)직영<NA><NA>102Y0110Y20191서울특별시 강서구 금낭화로 35
7서울특별시교육청강서양천교육지원청1ecec08c-f33b-b044-e053-0a32095ab044신세기유치원사립(사인)직영<NA><NA>99Y0111Y20232서울특별시 강서구 허준로 47
8서울특별시교육청강서양천교육지원청1ecec08c-f3d7-b044-e053-0a32095ab044서울정곡초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>30Y0100Y20232서울특별시 강서구 방화대로50길 22
9서울특별시교육청강서양천교육지원청1ecec08c-f3d8-b044-e053-0a32095ab044신영유치원사립(사인)직영<NA><NA>109Y1011Y20232서울특별시 강서구 곰달래로25길 4
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
51서울특별시교육청강서양천교육지원청53e84c27-6bdd-49a9-9c73-887fa8bd28a2서울금낭화유치원공립(단설)직영<NA><NA>60Y1011Y20232서울특별시 강서구 금낭화로 35
52서울특별시교육청강서양천교육지원청5e4a5892-4caf-4a0b-93ab-44d81b9557a2서울신곡초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>29Y0100Y20232서울특별시 강서구 등촌로13자길 42-14
53서울특별시교육청강서양천교육지원청7721e609-bd73-448b-8b96-f988a1c4757d서울등촌초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>40Y0100Y20232서울특별시 강서구 등촌로39길 71
54서울특별시교육청강서양천교육지원청8114e0a3-e56e-47e5-a5d6-c2eef91cbed7서울탑산초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>45Y0113Y20232서울특별시 강서구 허준로 109
55서울특별시교육청강서양천교육지원청8fe5f3aa-d57f-4d30-bf63-09e1b5ab5633서울신월초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>27Y0114Y20232서울특별시 강서구 강서로31길 48
56서울특별시교육청강서양천교육지원청cd859395-2ba1-4f95-a3db-7c7a75b2d320서울송정초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>64Y0100Y20232서울특별시 강서구 공항대로3길 18
57서울특별시교육청강서양천교육지원청d0fe68a4-a1df-44ce-9072-87f9da3c301a서울개화초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>7Y0100Y20232서울특별시 강서구 양천로 11
58서울특별시교육청강서양천교육지원청da318554-85fa-494c-9ab9-60fd25bb0ce2이솔유치원사립(사인)직영<NA><NA>60N<NA><NA>12Y20232서울특별시 강서구 곰달래로33가길 6
59서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>38Y0100Y20232서울특별시 강서구 허준로 186
60서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>23Y0100Y20232서울특별시 강서구 강서로56나길 34