Overview

Dataset statistics

Number of variables17
Number of observations60
Missing cells115
Missing cells (%)11.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory145.2 B

Variable types

Categorical9
Text4
Unsupported1
Numeric2
Boolean1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,급식운영방식구분,위탁업체명,전체유아수,급식유아수,영양교사배치여부,단독배치영양교사수,공동배치영양교사수,조리사수,조리인력수,집단급식소신고여부,공시차수,주소
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20727/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
단독배치영양교사수 is highly overall correlated with 급식유아수 and 3 other fieldsHigh correlation
영양교사배치여부 is highly overall correlated with 급식운영방식구분 and 2 other fieldsHigh correlation
공동배치영양교사수 is highly overall correlated with 급식유아수 and 3 other fieldsHigh correlation
급식유아수 is highly overall correlated with 조리인력수 and 3 other fieldsHigh correlation
조리인력수 is highly overall correlated with 급식유아수 and 3 other fieldsHigh correlation
설립유형 is highly overall correlated with 급식운영방식구분High correlation
급식운영방식구분 is highly overall correlated with 설립유형 and 1 other fieldsHigh correlation
조리사수 is highly overall correlated with 급식유아수 and 1 other fieldsHigh correlation
집단급식소신고여부 is highly imbalanced (81.7%)Imbalance
위탁업체명 has 55 (91.7%) missing valuesMissing
전체유아수 has 60 (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 26 (43.3%) zerosZeros

Reproduction

Analysis started2024-03-13 07:01:15.766344
Analysis finished2024-03-13 07:01:16.955890
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
서울특별시교육청
60 

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 60
100.0%

Length

2024-03-13T16:01:17.008107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:17.082759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 60
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
강동송파교육지원청
60 

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 60
100.0%

Length

2024-03-13T16:01:17.159152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:17.251311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

유치원코드
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T16:01:17.462313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2160
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

Unique60 ?
Unique (%)100.0%

Sample

1st row009c017d-43bd-4d9f-ac64-d217abdd570e
2nd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
3rd row0f7d2827-8bb2-4a0c-9926-77fca1f60a54
4th row1ecec08c-ed94-b044-e053-0a32095ab044
5th row1ecec08c-eee8-b044-e053-0a32095ab044
ValueCountFrequency (%)
009c017d-43bd-4d9f-ac64-d217abdd570e 1
 
1.7%
04a021da-cdd7-4e7e-a434-2b388c2f6b63 1
 
1.7%
1ecec08d-0a0f-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0381-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0408-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-04b9-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-059a-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06af-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06b0-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T16:01:17.752693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1220
56.5%
Lowercase Letter 700
32.4%
Dash Punctuation 240
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
28.5%
4 238
19.5%
3 124
 
10.2%
5 122
 
10.0%
2 89
 
7.3%
8 88
 
7.2%
1 75
 
6.1%
9 71
 
5.8%
7 37
 
3.0%
6 28
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1460
67.6%
Latin 700
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
23.8%
- 240
16.4%
4 238
16.3%
3 124
 
8.5%
5 122
 
8.4%
2 89
 
6.1%
8 88
 
6.0%
1 75
 
5.1%
9 71
 
4.9%
7 37
 
2.5%
Latin
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

유치원명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T16:01:17.971111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.85
Min length5

Characters and Unicode

Total characters471
Distinct characters102
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

Unique60 ?
Unique (%)100.0%

Sample

1st row서울솔방울유치원
2nd row란키즈유치원
3rd row서울송파위례유치원
4th row꿀벌유치원
5th row서울신천초등학교병설유치원
ValueCountFrequency (%)
서울솔방울유치원 1
 
1.7%
란키즈유치원 1
 
1.7%
서울잠신초등학교병설유치원 1
 
1.7%
불광유치원 1
 
1.7%
리아유치원 1
 
1.7%
서울거여초등학교병설유치원 1
 
1.7%
리틀바움유치원 1
 
1.7%
혜림유치원 1
 
1.7%
푸른꿈유치원 1
 
1.7%
동화나라유치원 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T16:01:18.272641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
사립(사인)
36 
공립(병설)
15 
공립(단설)
5 
사립(법인)
4 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 36
60.0%
공립(병설) 15
25.0%
공립(단설) 5
 
8.3%
사립(법인) 4
 
6.7%

Length

2024-03-13T16:01:18.389860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:18.475729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 36
60.0%
공립(병설 15
25.0%
공립(단설 5
 
8.3%
사립(법인 4
 
6.7%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
직영
39 
직영(학교급식)
15 
위탁
5 
혼합
 
1

Length

Max length8
Median length2
Mean length3.5
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
직영 39
65.0%
직영(학교급식) 15
 
25.0%
위탁 5
 
8.3%
혼합 1
 
1.7%

Length

2024-03-13T16:01:18.569245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:18.657512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 39
65.0%
직영(학교급식 15
 
25.0%
위탁 5
 
8.3%
혼합 1
 
1.7%

위탁업체명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing55
Missing (%)91.7%
Memory size612.0 B
2024-03-13T16:01:18.782701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.6
Min length5

Characters and Unicode

Total characters28
Distinct characters18
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row해피맘푸드
2nd row재원F&S
3rd row재원에프엔에스
4th row해피맘푸드
5th row아이그린푸드
ValueCountFrequency (%)
해피맘푸드 2
40.0%
재원f&s 1
20.0%
재원에프엔에스 1
20.0%
아이그린푸드 1
20.0%
2024-03-13T16:01:19.008932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 3
 
10.7%
드 3
 
10.7%
해 2
 
7.1%
맘 2
 
7.1%
재 2
 
7.1%
원 2
 
7.1%
피 2
 
7.1%
에 2
 
7.1%
스 1
 
3.6%
그 1
 
3.6%
Other values (8) 8
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
89.3%
Uppercase Letter 2
 
7.1%
Other Punctuation 1
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 3
12.0%
드 3
12.0%
해 2
 
8.0%
맘 2
 
8.0%
재 2
 
8.0%
원 2
 
8.0%
피 2
 
8.0%
에 2
 
8.0%
스 1
 
4.0%
그 1
 
4.0%
Other values (5) 5
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
89.3%
Latin 2
 
7.1%
Common 1
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 3
12.0%
드 3
12.0%
해 2
 
8.0%
맘 2
 
8.0%
재 2
 
8.0%
원 2
 
8.0%
피 2
 
8.0%
에 2
 
8.0%
스 1
 
4.0%
그 1
 
4.0%
Other values (5) 5
20.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%
Common
ValueCountFrequency (%)
& 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
89.3%
ASCII 3
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 3
12.0%
드 3
12.0%
해 2
 
8.0%
맘 2
 
8.0%
재 2
 
8.0%
원 2
 
8.0%
피 2
 
8.0%
에 2
 
8.0%
스 1
 
4.0%
그 1
 
4.0%
Other values (5) 5
20.0%
ASCII
ValueCountFrequency (%)
S 1
33.3%
& 1
33.3%
F 1
33.3%

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

급식유아수
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.616667
Minimum8
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T16:01:19.122720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile13.8
Q141
median79.5
Q3122.5
95-th percentile245
Maximum384
Range376
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation75.581159
Coefficient of variation (CV)0.78227868
Kurtosis2.8539114
Mean96.616667
Median Absolute Deviation (MAD)40
Skewness1.5317959
Sum5797
Variance5712.5116
MonotonicityNot monotonic
2024-03-13T16:01:19.261235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 3
 
5.0%
41 2
 
3.3%
37 2
 
3.3%
75 2
 
3.3%
29 2
 
3.3%
28 2
 
3.3%
10 2
 
3.3%
103 2
 
3.3%
60 2
 
3.3%
43 1
 
1.7%
Other values (40) 40
66.7%
ValueCountFrequency (%)
8 1
1.7%
10 2
3.3%
14 1
1.7%
20 1
1.7%
28 2
3.3%
29 2
3.3%
32 1
1.7%
33 1
1.7%
37 2
3.3%
38 1
1.7%
ValueCountFrequency (%)
384 1
1.7%
282 1
1.7%
264 1
1.7%
244 1
1.7%
240 1
1.7%
198 1
1.7%
189 1
1.7%
181 1
1.7%
171 1
1.7%
156 1
1.7%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
46 
False
14 
ValueCountFrequency (%)
True 46
76.7%
False 14
 
23.3%
2024-03-13T16:01:19.374097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
33 
<NA>
14 
1
13 

Length

Max length4
Median length1
Mean length1.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
55.0%
<NA> 14
23.3%
1 13
 
21.7%

Length

2024-03-13T16:01:19.477733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:19.590849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
55.0%
na 14
23.3%
1 13
 
21.7%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
1
33 
<NA>
14 
0
13 

Length

Max length4
Median length1
Mean length1.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
55.0%
<NA> 14
23.3%
0 13
 
21.7%

Length

2024-03-13T16:01:19.693988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:19.774621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
55.0%
na 14
23.3%
0 13
 
21.7%

조리사수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
1
33 
0
21 
2
4 
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
55.0%
0 21
35.0%
2 4
 
6.7%
3 1
 
1.7%
4 1
 
1.7%

Length

2024-03-13T16:01:19.862092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:19.947629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
55.0%
0 21
35.0%
2 4
 
6.7%
3 1
 
1.7%
4 1
 
1.7%

조리인력수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86666667
Minimum0
Maximum5
Zeros26
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-13T16:01:20.027475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3.05
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1269678
Coefficient of variation (CV)1.3003475
Kurtosis5.2607422
Mean0.86666667
Median Absolute Deviation (MAD)1
Skewness2.1084184
Sum52
Variance1.2700565
MonotonicityNot monotonic
2024-03-13T16:01:20.116553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 26
43.3%
1 25
41.7%
2 5
 
8.3%
5 2
 
3.3%
3 1
 
1.7%
4 1
 
1.7%
ValueCountFrequency (%)
0 26
43.3%
1 25
41.7%
2 5
 
8.3%
3 1
 
1.7%
4 1
 
1.7%
5 2
 
3.3%
ValueCountFrequency (%)
5 2
 
3.3%
4 1
 
1.7%
3 1
 
1.7%
2 5
 
8.3%
1 25
41.7%
0 26
43.3%

집단급식소신고여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Y
57 
N
 
1
X
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.05
Min length1

Unique

Unique3 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 57
95.0%
N 1
 
1.7%
X 1
 
1.7%
<NA> 1
 
1.7%

Length

2024-03-13T16:01:20.215358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:20.580644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 57
95.0%
n 1
 
1.7%
x 1
 
1.7%
na 1
 
1.7%

공시차수
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
20232
46 
20202
6 
20182
5 
20212
 
2
20192
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
20232 46
76.7%
20202 6
 
10.0%
20182 5
 
8.3%
20212 2
 
3.3%
20192 1
 
1.7%

Length

2024-03-13T16:01:20.662246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:01:20.760040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 46
76.7%
20202 6
 
10.0%
20182 5
 
8.3%
20212 2
 
3.3%
20192 1
 
1.7%

주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T16:01:20.977146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.916667
Min length16

Characters and Unicode

Total characters1135
Distinct characters68
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

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 송파구 오금로24길 25
2nd row서울특별시 송파구 새말로8길 22-5
3rd row서울특별시 송파구 위례송파로 121
4th row서울특별시 송파구 양산로8길 8
5th row서울특별시 송파구 올림픽로 215
ValueCountFrequency (%)
서울특별시 60
25.0%
송파구 60
25.0%
올림픽로 5
 
2.1%
20 3
 
1.2%
양재대로 3
 
1.2%
위례순환로 3
 
1.2%
17 3
 
1.2%
양산로2길 2
 
0.8%
올림픽로4길 2
 
0.8%
32 2
 
0.8%
Other values (87) 97
40.4%
2024-03-13T16:01:21.314060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
15.9%
송 66
 
5.8%
파 66
 
5.8%
서 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
시 60
 
5.3%
구 60
 
5.3%
울 60
 
5.3%
Other values (58) 403
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
65.7%
Decimal Number 204
 
18.0%
Space Separator 180
 
15.9%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Decimal Number
ValueCountFrequency (%)
2 39
19.1%
1 38
18.6%
3 26
12.7%
4 23
11.3%
5 18
8.8%
7 15
 
7.4%
8 14
 
6.9%
6 13
 
6.4%
0 10
 
4.9%
9 8
 
3.9%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
65.7%
Common 389
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Common
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
65.7%
ASCII 389
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%
Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%

Interactions

2024-03-13T16:01:16.532813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:01:16.389141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:01:16.605417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:01:16.462814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T16:01:21.406584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형급식운영방식구분위탁업체명급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.8841.0000.2990.5050.7180.7180.3600.4720.0000.0000.762
급식운영방식구분1.0001.0000.8841.000NaN0.2490.7750.2560.2560.4830.5340.2780.2680.000
위탁업체명1.0001.0001.000NaN1.0001.000NaNNaNNaNNaNNaN0.0000.0001.000
급식유아수1.0001.0000.2990.2491.0001.0000.0670.6340.6340.8610.8310.0000.0000.948
영양교사배치여부1.0001.0000.5050.775NaN0.0671.000NaNNaN0.0000.0000.1000.2921.000
단독배치영양교사수1.0001.0000.7180.256NaN0.634NaN1.0000.9960.4200.7150.0000.1230.000
공동배치영양교사수1.0001.0000.7180.256NaN0.634NaN0.9961.0000.4200.7150.0000.1230.000
조리사수1.0001.0000.3600.483NaN0.8610.0000.4200.4201.0000.7740.0000.0000.824
조리인력수1.0001.0000.4720.534NaN0.8310.0000.7150.7150.7741.0000.0000.0000.989
집단급식소신고여부1.0001.0000.0000.2780.0000.0000.1000.0000.0000.0000.0001.0000.2231.000
공시차수1.0001.0000.0000.2680.0000.0000.2920.1230.1230.0000.0000.2231.0000.928
주소1.0001.0000.7620.0001.0000.9481.0000.0000.0000.8240.9891.0000.9281.000
2024-03-13T16:01:21.549542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수공시차수급식운영방식구분영양교사배치여부공동배치영양교사수설립유형조리사수집단급식소신고여부
단독배치영양교사수1.0000.1980.4121.0000.9450.5000.4920.000
공시차수0.1981.0000.2170.3460.1980.0000.0000.165
급식운영방식구분0.4120.2171.0000.5560.4120.5570.4080.262
영양교사배치여부1.0000.3460.5561.0001.0000.3350.0000.162
공동배치영양교사수0.9450.1980.4121.0001.0000.5000.4920.000
설립유형0.5000.0000.5570.3350.5001.0000.2960.000
조리사수0.4920.0000.4080.0000.4920.2961.0000.000
집단급식소신고여부0.0000.1650.2620.1620.0000.0000.0001.000
2024-03-13T16:01:21.669792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수조리인력수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수집단급식소신고여부공시차수
급식유아수1.0000.6070.1800.1460.0400.5850.5850.6940.0000.000
조리인력수0.6071.0000.3140.3640.0000.5010.5010.6480.0000.000
설립유형0.1800.3141.0000.5570.3350.5000.5000.2960.0000.000
급식운영방식구분0.1460.3640.5571.0000.5560.4120.4120.4080.2620.217
영양교사배치여부0.0400.0000.3350.5561.0001.0001.0000.0000.1620.346
단독배치영양교사수0.5850.5010.5000.4121.0001.0000.9450.4920.0000.198
공동배치영양교사수0.5850.5010.5000.4121.0000.9451.0000.4920.0000.198
조리사수0.6940.6480.2960.4080.0000.4920.4921.0000.0000.000
집단급식소신고여부0.0000.0000.0000.2620.1620.0000.0000.0001.0000.165
공시차수0.0000.0000.0000.2170.3460.1980.1980.0000.1651.000

Missing values

2024-03-13T16:01:16.712180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:01:16.889714image/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
0서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)직영<NA><NA>108Y1011Y20232서울특별시 송파구 오금로24길 25
1서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)직영<NA><NA>75N<NA><NA>10Y20232서울특별시 송파구 새말로8길 22-5
2서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)직영<NA><NA>119Y1011Y20232서울특별시 송파구 위례송파로 121
3서울특별시교육청강동송파교육지원청1ecec08c-ed94-b044-e053-0a32095ab044꿀벌유치원사립(사인)직영<NA><NA>86Y0111Y20232서울특별시 송파구 양산로8길 8
4서울특별시교육청강동송파교육지원청1ecec08c-eee8-b044-e053-0a32095ab044서울신천초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>66Y0100Y20232서울특별시 송파구 올림픽로 215
5서울특별시교육청강동송파교육지원청1ecec08c-eeec-b044-e053-0a32095ab044장미유치원사립(법인)직영<NA><NA>60N<NA><NA>11Y20232서울특별시 송파구 올림픽로35길 118
6서울특별시교육청강동송파교육지원청1ecec08c-f04f-b044-e053-0a32095ab044새움유치원사립(사인)직영<NA><NA>89Y0111Y20182서울특별시 송파구 중대로27길 2
7서울특별시교육청강동송파교육지원청1ecec08c-f209-b044-e053-0a32095ab044우일유치원사립(사인)직영<NA><NA>282Y1021Y20232서울특별시 송파구 토성로 38-6
8서울특별시교육청강동송파교육지원청1ecec08c-f20a-b044-e053-0a32095ab044석촌유치원사립(사인)직영<NA><NA>240Y1023Y20232서울특별시 송파구 백제고분로40길 20
9서울특별시교육청강동송파교육지원청1ecec08c-f28a-b044-e053-0a32095ab044샛별유치원사립(사인)직영<NA><NA>61Y0111Y20182서울특별시 송파구 중대로9길 53-27
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
50서울특별시교육청강동송파교육지원청1ecec08d-0f6c-b044-e053-0a32095ab044수정유치원사립(사인)직영<NA><NA>84N<NA><NA>11Y20232서울특별시 송파구 위례성대로 28
51서울특별시교육청강동송파교육지원청1fd6777e-14fd-e0b0-e053-0a32095ae0b0위례우일유치원사립(사인)직영<NA><NA>264Y1021Y20232서울특별시 송파구 성내천로47길 38-1
52서울특별시교육청강동송파교육지원청2ab4825b-780b-4443-b195-77d1c3851b7d서울아주초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>28Y0100Y20232서울특별시 송파구 올림픽로4길 59
53서울특별시교육청강동송파교육지원청4954e1f2-8d93-4db0-a8de-fcabfa4d6a0c서울거원초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>47Y0115Y20232서울특별시 송파구 양산로2길 26
54서울특별시교육청강동송파교육지원청7f130073-a125-4e1f-ac7a-0d743c58822b서울영풍초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>43Y0100Y20232서울특별시 송파구 오금로57길 15
55서울특별시교육청강동송파교육지원청7f2f03dd-4d3c-4cbc-bfd3-f88b47041426서울위례솔초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>64Y0100Y20232서울특별시 송파구 위례북로2길 12
56서울특별시교육청강동송파교육지원청98918a25-18ce-48c6-8188-620954527bc8서울솔가람유치원분원공립(단설)직영<NA><NA>54Y0111Y20232서울특별시 송파구 위례순환로 477
57서울특별시교육청강동송파교육지원청d3a54882-16bb-4eae-9dc2-7a63f3a43215홍익가족유치원사립(사인)위탁아이그린푸드<NA>131N<NA><NA>00Y20232서울특별시 송파구 삼학사로19길 20
58서울특별시교육청강동송파교육지원청e1def744-a9f2-4422-8301-d3548bd6074c서울위례별유치원공립(단설)직영<NA><NA>181Y1011Y20232서울특별시 송파구 위례순환로 371
59서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>32Y0100Y20232서울특별시 송파구 백제고분로 400