Overview

Dataset statistics

Number of variables17
Number of observations939
Missing cells1894
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.3 KiB
Average record size in memory143.1 B

Variable types

Categorical6
Text4
Unsupported1
Numeric4
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author한국교육학술정보원
URLhttps://data.seoul.go.kr/dataList/OA-20571/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
집단급식소신고여부 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
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 영양교사배치여부 and 2 other fieldsHigh correlation
설립유형 is highly overall correlated with 급식운영방식구분 and 1 other fieldsHigh correlation
급식운영방식구분 is highly overall correlated with 설립유형High correlation
집단급식소신고여부 is highly imbalanced (90.4%)Imbalance
위탁업체명 has 903 (96.2%) missing valuesMissing
전체유아수 has 939 (100.0%) missing valuesMissing
집단급식소신고여부 has 52 (5.5%) missing valuesMissing
유치원코드 has unique valuesUnique
전체유아수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조리사수 has 272 (29.0%) zerosZeros
조리인력수 has 428 (45.6%) zerosZeros

Reproduction

Analysis started2024-04-17 16:01:29.164952
Analysis finished2024-04-17 16:01:31.412819
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
서울특별시교육청
939 

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 939
100.0%

Length

2024-04-18T01:01:31.473618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:01:31.557176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 939
100.0%

교육지원청명
Categorical

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
북부교육지원청
114 
강서양천교육지원청
109 
서부교육지원청
103 
강동송파교육지원청
98 
남부교육지원청
97 
Other values (6)
418 

Length

Max length9
Median length9
Mean length8.0734824
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 114
12.1%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
동작관악교육지원청 77
8.2%
성북강북교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

Length

2024-04-18T01:01:31.657830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북부교육지원청 114
12.1%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
동작관악교육지원청 77
8.2%
성북강북교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

유치원코드
Text

UNIQUE 

Distinct939
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-18T01:01:31.846693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters33804
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

Unique939 ?
Unique (%)100.0%

Sample

1st row006b5238-ce41-4471-9ee3-4df8d24b5141
2nd row009c017d-43bd-4d9f-ac64-d217abdd570e
3rd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
4th row0764f8c8-364c-495b-9fbc-b389148b7b4f
5th row076db651-036b-4bee-80ba-09f0edb4a57a
ValueCountFrequency (%)
006b5238-ce41-4471-9ee3-4df8d24b5141 1
 
0.1%
1ecec08d-0841-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078e-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-08de-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0791-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-079c-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-080a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-080b-b044-e053-0a32095ab044 1
 
0.1%
Other values (929) 929
98.9%
2024-04-18T01:01:32.110793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5593
16.5%
- 3756
11.1%
4 3729
11.0%
e 2930
8.7%
c 2461
7.3%
a 2042
 
6.0%
5 2003
 
5.9%
3 2001
 
5.9%
b 2000
 
5.9%
8 1256
 
3.7%
Other values (7) 6033
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18997
56.2%
Lowercase Letter 11051
32.7%
Dash Punctuation 3756
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5593
29.4%
4 3729
19.6%
5 2003
 
10.5%
3 2001
 
10.5%
8 1256
 
6.6%
1 1241
 
6.5%
9 1198
 
6.3%
2 1190
 
6.3%
7 394
 
2.1%
6 392
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 2930
26.5%
c 2461
22.3%
a 2042
18.5%
b 2000
18.1%
d 832
 
7.5%
f 786
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 3756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22753
67.3%
Latin 11051
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5593
24.6%
- 3756
16.5%
4 3729
16.4%
5 2003
 
8.8%
3 2001
 
8.8%
8 1256
 
5.5%
1 1241
 
5.5%
9 1198
 
5.3%
2 1190
 
5.2%
7 394
 
1.7%
Latin
ValueCountFrequency (%)
e 2930
26.5%
c 2461
22.3%
a 2042
18.5%
b 2000
18.1%
d 832
 
7.5%
f 786
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5593
16.5%
- 3756
11.1%
4 3729
11.0%
e 2930
8.7%
c 2461
7.3%
a 2042
 
6.0%
5 2003
 
5.9%
3 2001
 
5.9%
b 2000
 
5.9%
8 1256
 
3.7%
Other values (7) 6033
17.8%

유치원명
Text

Distinct843
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-18T01:01:32.336336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.6879659
Min length4

Characters and Unicode

Total characters7219
Distinct characters314
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique772 ?
Unique (%)82.2%

Sample

1st row서울정심초등학교병설유치원
2nd row서울솔방울유치원
3rd row란키즈유치원
4th row서울신현초등학교병설유치원
5th row서울신묵초등학교병설유치원
ValueCountFrequency (%)
사랑유치원 5
 
0.5%
예일유치원 5
 
0.5%
하나유치원 4
 
0.4%
새싹유치원 4
 
0.4%
예원유치원 4
 
0.4%
천사유치원 3
 
0.3%
벧엘유치원 3
 
0.3%
영은유치원 3
 
0.3%
서울유치원 3
 
0.3%
돌샘유치원 3
 
0.3%
Other values (837) 906
96.1%
2024-04-18T01:01:32.668967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 318
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (304) 2398
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7215
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 318
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (303) 2394
33.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7215
99.9%
Common 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 318
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (303) 2394
33.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7215
99.9%
ASCII 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 318
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (303) 2394
33.2%
ASCII
ValueCountFrequency (%)
4
100.0%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
사립(사인)
497 
공립(병설)
252 
사립(법인)
141 
공립(단설)
 
49

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 497
52.9%
공립(병설) 252
26.8%
사립(법인) 141
 
15.0%
공립(단설) 49
 
5.2%

Length

2024-04-18T01:01:32.774841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:01:32.848766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 497
52.9%
공립(병설 252
26.8%
사립(법인 141
 
15.0%
공립(단설 49
 
5.2%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
직영
631 
직영(학교급식)
250 
위탁
 
36
공동
 
16
혼합
 
6

Length

Max length8
Median length2
Mean length3.5974441
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직영 631
67.2%
직영(학교급식) 250
 
26.6%
위탁 36
 
3.8%
공동 16
 
1.7%
혼합 6
 
0.6%

Length

2024-04-18T01:01:32.937995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:01:33.021365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 631
67.2%
직영(학교급식 250
 
26.6%
위탁 36
 
3.8%
공동 16
 
1.7%
혼합 6
 
0.6%

위탁업체명
Text

MISSING 

Distinct20
Distinct (%)55.6%
Missing903
Missing (%)96.2%
Memory size7.5 KiB
2024-04-18T01:01:33.139546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.9722222
Min length4

Characters and Unicode

Total characters215
Distinct characters55
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)41.7%

Sample

1st row다솜푸드
2nd row베스트푸드키즈
3rd row재원F&S
4th row참만나푸드
5th row아이그린푸드
ValueCountFrequency (%)
아이그린푸드 12
30.8%
온더푸드 3
 
7.7%
베스트푸드키즈 2
 
5.1%
재원f&s 2
 
5.1%
해피맘푸드 2
 
5.1%
베스트키즈푸드 1
 
2.6%
주)베스트푸드키즈 1
 
2.6%
꿈나무도시락 1
 
2.6%
주)더바른푸드 1
 
2.6%
재원에프엔에스 1
 
2.6%
Other values (13) 13
33.3%
2024-04-18T01:01:33.369265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 27
 
12.6%
드 27
 
12.6%
린 15
 
7.0%
그 14
 
6.5%
이 13
 
6.0%
아 12
 
5.6%
스 7
 
3.3%
베 5
 
2.3%
트 5
 
2.3%
재 4
 
1.9%
Other values (45) 86
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
93.0%
Uppercase Letter 4
 
1.9%
Close Punctuation 3
 
1.4%
Open Punctuation 3
 
1.4%
Space Separator 3
 
1.4%
Other Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 27
 
13.5%
드 27
 
13.5%
린 15
 
7.5%
그 14
 
7.0%
이 13
 
6.5%
아 12
 
6.0%
스 7
 
3.5%
베 5
 
2.5%
트 5
 
2.5%
재 4
 
2.0%
Other values (39) 71
35.5%
Uppercase Letter
ValueCountFrequency (%)
F 2
50.0%
S 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
93.0%
Common 11
 
5.1%
Latin 4
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 27
 
13.5%
드 27
 
13.5%
린 15
 
7.5%
그 14
 
7.0%
이 13
 
6.5%
아 12
 
6.0%
스 7
 
3.5%
베 5
 
2.5%
트 5
 
2.5%
재 4
 
2.0%
Other values (39) 71
35.5%
Common
ValueCountFrequency (%)
) 3
27.3%
( 3
27.3%
3
27.3%
& 2
18.2%
Latin
ValueCountFrequency (%)
F 2
50.0%
S 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
93.0%
ASCII 15
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 27
 
13.5%
드 27
 
13.5%
린 15
 
7.5%
그 14
 
7.0%
이 13
 
6.5%
아 12
 
6.0%
스 7
 
3.5%
베 5
 
2.5%
트 5
 
2.5%
재 4
 
2.0%
Other values (39) 71
35.5%
ASCII
ValueCountFrequency (%)
) 3
20.0%
( 3
20.0%
3
20.0%
F 2
13.3%
& 2
13.3%
S 2
13.3%

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing939
Missing (%)100.0%
Memory size8.4 KiB

급식유아수
Real number (ℝ)

Distinct207
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.87114
Minimum0
Maximum429
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-18T01:01:33.479925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.9
Q139
median63
Q3109.5
95-th percentile194
Maximum429
Range429
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation58.102011
Coefficient of variation (CV)0.72744688
Kurtosis4.7607696
Mean79.87114
Median Absolute Deviation (MAD)30
Skewness1.7159238
Sum74999
Variance3375.8437
MonotonicityNot monotonic
2024-04-18T01:01:33.588656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 18
 
1.9%
43 17
 
1.8%
51 16
 
1.7%
45 15
 
1.6%
36 14
 
1.5%
40 14
 
1.5%
75 14
 
1.5%
34 13
 
1.4%
32 13
 
1.4%
41 12
 
1.3%
Other values (197) 793
84.5%
ValueCountFrequency (%)
0 5
0.5%
1 1
 
0.1%
5 1
 
0.1%
7 2
 
0.2%
8 3
 
0.3%
9 1
 
0.1%
10 5
0.5%
11 6
0.6%
12 3
 
0.3%
13 9
1.0%
ValueCountFrequency (%)
429 1
0.1%
409 1
0.1%
390 1
0.1%
384 1
0.1%
345 1
0.1%
331 1
0.1%
293 1
0.1%
282 1
0.1%
279 1
0.1%
273 1
0.1%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
True
639 
False
300 
ValueCountFrequency (%)
True 639
68.1%
False 300
31.9%
2024-04-18T01:01:33.668766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
0
478 
<NA>
300 
1
161 

Length

Max length4
Median length1
Mean length1.9584665
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 478
50.9%
<NA> 300
31.9%
1 161
 
17.1%

Length

2024-04-18T01:01:33.746469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:01:33.840047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 478
50.9%
na 300
31.9%
1 161
 
17.1%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
1
478 
<NA>
300 
0
160 
3
 
1

Length

Max length4
Median length1
Mean length1.9584665
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 478
50.9%
<NA> 300
31.9%
0 160
 
17.0%
3 1
 
0.1%

Length

2024-04-18T01:01:33.943125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:01:34.042327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 478
50.9%
na 300
31.9%
0 160
 
17.0%
3 1
 
0.1%

조리사수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77635783
Minimum0
Maximum9
Zeros272
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-18T01:01:34.124014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.67788328
Coefficient of variation (CV)0.8731583
Kurtosis39.998969
Mean0.77635783
Median Absolute Deviation (MAD)0
Skewness3.8882582
Sum729
Variance0.45952574
MonotonicityNot monotonic
2024-04-18T01:01:34.219163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 632
67.3%
0 272
29.0%
2 26
 
2.8%
4 3
 
0.3%
3 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
0 272
29.0%
1 632
67.3%
2 26
 
2.8%
3 2
 
0.2%
4 3
 
0.3%
5 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
8 1
 
0.1%
5 2
 
0.2%
4 3
 
0.3%
3 2
 
0.2%
2 26
 
2.8%
1 632
67.3%
0 272
29.0%

조리인력수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99893504
Minimum0
Maximum10
Zeros428
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-18T01:01:34.299094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.5
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.3226737
Coefficient of variation (CV)1.3240838
Kurtosis8.346468
Mean0.99893504
Median Absolute Deviation (MAD)1
Skewness2.2763198
Sum938
Variance1.7494658
MonotonicityNot monotonic
2024-04-18T01:01:34.386034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 428
45.6%
1 276
29.4%
2 136
 
14.5%
3 54
 
5.8%
4 24
 
2.6%
5 10
 
1.1%
6 5
 
0.5%
10 2
 
0.2%
8 2
 
0.2%
7 1
 
0.1%
ValueCountFrequency (%)
0 428
45.6%
1 276
29.4%
2 136
 
14.5%
3 54
 
5.8%
4 24
 
2.6%
5 10
 
1.1%
6 5
 
0.5%
7 1
 
0.1%
8 2
 
0.2%
9 1
 
0.1%
ValueCountFrequency (%)
10 2
 
0.2%
9 1
 
0.1%
8 2
 
0.2%
7 1
 
0.1%
6 5
 
0.5%
5 10
 
1.1%
4 24
 
2.6%
3 54
 
5.8%
2 136
14.5%
1 276
29.4%

집단급식소신고여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)0.2%
Missing52
Missing (%)5.5%
Memory size2.0 KiB
True
876 
False
 
11
(Missing)
 
52
ValueCountFrequency (%)
True 876
93.3%
False 11
 
1.2%
(Missing) 52
 
5.5%
2024-04-18T01:01:34.471050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Real number (ℝ)

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224.855
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-04-18T01:01:34.540989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.460049
Coefficient of variation (CV)0.00076440839
Kurtosis2.04989
Mean20224.855
Median Absolute Deviation (MAD)0
Skewness-1.9195254
Sum18991139
Variance239.01312
MonotonicityNot monotonic
2024-04-18T01:01:34.628869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20232 750
79.9%
20182 57
 
6.1%
20192 51
 
5.4%
20202 30
 
3.2%
20212 23
 
2.4%
20222 19
 
2.0%
20191 5
 
0.5%
20211 1
 
0.1%
20221 1
 
0.1%
20231 1
 
0.1%
ValueCountFrequency (%)
20182 57
6.1%
20191 5
 
0.5%
20192 51
5.4%
20201 1
 
0.1%
20202 30
3.2%
20211 1
 
0.1%
20212 23
2.4%
20221 1
 
0.1%
20222 19
 
2.0%
20231 1
 
0.1%
ValueCountFrequency (%)
20232 750
79.9%
20231 1
 
0.1%
20222 19
 
2.0%
20221 1
 
0.1%
20212 23
 
2.4%
20211 1
 
0.1%
20202 30
 
3.2%
20201 1
 
0.1%
20192 51
 
5.4%
20191 5
 
0.5%

주소
Text

Distinct916
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-18T01:01:34.860573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.768903
Min length15

Characters and Unicode

Total characters17624
Distinct characters255
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

Unique894 ?
Unique (%)95.2%

Sample

1st row서울특별시 금천구 독산로78다길 89
2nd row서울특별시 송파구 오금로24길 25
3rd row서울특별시 송파구 새말로8길 22-5
4th row서울특별시 중랑구 봉화산로 188
5th row서울특별시 중랑구 동일로149길 46
ValueCountFrequency (%)
서울특별시 939
25.0%
노원구 78
 
2.1%
강서구 61
 
1.6%
송파구 60
 
1.6%
성북구 53
 
1.4%
은평구 50
 
1.3%
양천구 48
 
1.3%
강남구 43
 
1.1%
영등포구 42
 
1.1%
관악구 39
 
1.0%
Other values (1122) 2343
62.4%
2024-04-18T01:01:35.203448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2817
16.0%
서 1102
 
6.3%
구 991
 
5.6%
시 952
 
5.4%
로 944
 
5.4%
울 941
 
5.3%
별 939
 
5.3%
특 939
 
5.3%
1 677
 
3.8%
길 605
 
3.4%
Other values (245) 6717
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11432
64.9%
Decimal Number 3275
 
18.6%
Space Separator 2817
 
16.0%
Dash Punctuation 100
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 952
 
8.3%
로 944
 
8.3%
울 941
 
8.2%
별 939
 
8.2%
특 939
 
8.2%
길 605
 
5.3%
동 230
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%
Decimal Number
ValueCountFrequency (%)
1 677
20.7%
2 481
14.7%
3 378
11.5%
4 331
10.1%
5 307
9.4%
6 281
8.6%
7 223
 
6.8%
0 210
 
6.4%
8 195
 
6.0%
9 192
 
5.9%
Space Separator
ValueCountFrequency (%)
2817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11432
64.9%
Common 6192
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 952
 
8.3%
로 944
 
8.3%
울 941
 
8.2%
별 939
 
8.2%
특 939
 
8.2%
길 605
 
5.3%
동 230
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%
Common
ValueCountFrequency (%)
2817
45.5%
1 677
 
10.9%
2 481
 
7.8%
3 378
 
6.1%
4 331
 
5.3%
5 307
 
5.0%
6 281
 
4.5%
7 223
 
3.6%
0 210
 
3.4%
8 195
 
3.1%
Other values (2) 292
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11432
64.9%
ASCII 6192
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2817
45.5%
1 677
 
10.9%
2 481
 
7.8%
3 378
 
6.1%
4 331
 
5.3%
5 307
 
5.0%
6 281
 
4.5%
7 223
 
3.6%
0 210
 
3.4%
8 195
 
3.1%
Other values (2) 292
 
4.7%
Hangul
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 952
 
8.3%
로 944
 
8.3%
울 941
 
8.2%
별 939
 
8.2%
특 939
 
8.2%
길 605
 
5.3%
동 230
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%

Interactions

2024-04-18T01:01:30.719534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:29.927624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.192239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.455261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.787208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:29.989708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.255562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.520426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.858164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.055871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.321491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.583805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.926278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.122402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.388859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:01:30.650478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T01:01:35.285320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육지원청명설립유형급식운영방식구분위탁업체명급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수
교육지원청명1.0000.1470.1290.9040.0800.0980.0400.0000.0680.0600.0000.058
설립유형0.1471.0000.6520.5810.4360.6370.7440.3870.7050.5100.0840.206
급식운영방식구분0.1290.6521.000NaN0.5100.3820.3690.3820.5760.6100.4040.416
위탁업체명0.9040.581NaN1.0000.8810.000NaNNaN1.000NaN0.0000.000
급식유아수0.0800.4360.5100.8811.0000.4780.6070.4760.5150.7430.0000.151
영양교사배치여부0.0980.6370.3820.0000.4781.000NaNNaN0.2120.2600.2490.253
단독배치영양교사수0.0400.7440.369NaN0.607NaN1.0001.0000.3650.515NaN0.033
공동배치영양교사수0.0000.3870.382NaN0.476NaN1.0001.0000.4040.409NaN0.000
조리사수0.0680.7050.5761.0000.5150.2120.3650.4041.0000.4380.4280.112
조리인력수0.0600.5100.610NaN0.7430.2600.5150.4090.4381.0000.0000.232
집단급식소신고여부0.0000.0840.4040.0000.0000.249NaNNaN0.4280.0001.0000.233
공시차수0.0580.2060.4160.0000.1510.2530.0330.0000.1120.2320.2331.000
2024-04-18T01:01:35.623267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형집단급식소신고여부단독배치영양교사수영양교사배치여부교육지원청명공동배치영양교사수급식운영방식구분
설립유형1.0000.0560.5360.4430.0890.3780.582
집단급식소신고여부0.0561.0001.0000.1600.0001.0000.491
단독배치영양교사수0.5361.0001.0001.0000.0370.9990.448
영양교사배치여부0.4430.1601.0001.0000.0941.0000.464
교육지원청명0.0890.0000.0370.0941.0000.0000.071
공동배치영양교사수0.3781.0000.9991.0000.0001.0000.312
급식운영방식구분0.5820.4910.4480.4640.0710.3121.000
2024-04-18T01:01:35.732698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수조리사수조리인력수공시차수교육지원청명설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수집단급식소신고여부
급식유아수1.0000.4840.4710.1830.0340.2740.2350.3660.4670.3240.000
조리사수0.4841.0000.496-0.0670.0320.3780.4010.1590.3890.2970.320
조리인력수0.4710.4961.0000.2650.0260.1780.1490.1980.1870.1060.000
공시차수0.183-0.0670.2651.0000.0000.2030.1790.3040.0480.0000.262
교육지원청명0.0340.0320.0260.0001.0000.0890.0710.0940.0370.0000.000
설립유형0.2740.3780.1780.2030.0891.0000.5820.4430.5360.3780.056
급식운영방식구분0.2350.4010.1490.1790.0710.5821.0000.4640.4480.3120.491
영양교사배치여부0.3660.1590.1980.3040.0940.4430.4641.0001.0001.0000.160
단독배치영양교사수0.4670.3890.1870.0480.0370.5360.4481.0001.0000.9991.000
공동배치영양교사수0.3240.2970.1060.0000.0000.3780.3121.0000.9991.0001.000
집단급식소신고여부0.0000.3200.0000.2620.0000.0560.4910.1601.0001.0001.000

Missing values

2024-04-18T01:01:31.076353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T01:01:31.242593image/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.
2024-04-18T01:01:31.348029image/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
0서울특별시교육청남부교육지원청006b5238-ce41-4471-9ee3-4df8d24b5141서울정심초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>38Y0110<NA>20232서울특별시 금천구 독산로78다길 89
1서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)직영<NA><NA>108Y1011Y20232서울특별시 송파구 오금로24길 25
2서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)직영<NA><NA>75N<NA><NA>10Y20232서울특별시 송파구 새말로8길 22-5
3서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>50Y0100Y20232서울특별시 중랑구 봉화산로 188
4서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>33Y0100Y20232서울특별시 중랑구 동일로149길 46
5서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)직영<NA><NA>57Y0110Y20222서울특별시 은평구 증산로21길 22
6서울특별시교육청서부교육지원청08d485cb-06c8-4964-bf03-ed1b178ef3fd서울소의초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>34Y0100Y20232서울특별시 마포구 마포대로24길 42
7서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>15Y0100<NA>20232서울특별시 노원구 상계로9길 39
8서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)직영<NA><NA>119Y1011Y20232서울특별시 송파구 위례송파로 121
9서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>33Y0100Y20232서울특별시 도봉구 노해로70길 96
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
929서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>30Y0100Y20232서울특별시 관악구 문성로28길 31
930서울특별시교육청서부교육지원청eb8cde61-5718-4f14-ab59-7df432e254ee서울한서초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>40Y0100Y20232서울특별시 마포구 대흥로24바길 27
931서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)직영<NA><NA>51N<NA><NA>10Y20232서울특별시 동대문구 답십리로48길 56
932서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>27Y0100Y20232서울특별시 노원구 노원로1길 36
933서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>39Y0100Y20232서울특별시 성동구 무학봉15길 21
934서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>127Y0100Y20192서울특별시 강동구 고덕로97길 80
935서울특별시교육청강남서초교육지원청fccf9482-0b1c-4f4b-a7e7-cffe7f40b07b서울학동초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>29Y0100Y20232서울특별시 강남구 선릉로115길 42
936서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>38Y0100Y20232서울특별시 강서구 허준로 186
937서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>32Y0100Y20232서울특별시 송파구 백제고분로 400
938서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>23Y0100Y20232서울특별시 강서구 강서로56나길 34