Overview

Dataset statistics

Number of variables17
Number of observations53
Missing cells103
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory145.5 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20711/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
단독배치영양교사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
영양교사배치여부 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
공동배치영양교사수 is highly overall correlated with 급식유아수 and 2 other fieldsHigh correlation
급식유아수 is highly overall correlated with 단독배치영양교사수 and 1 other fieldsHigh correlation
조리인력수 is highly overall correlated with 조리사수High correlation
설립유형 is highly overall correlated with 급식운영방식구분 and 1 other fieldsHigh correlation
급식운영방식구분 is highly overall correlated with 설립유형 and 1 other fieldsHigh correlation
조리사수 is highly overall correlated with 조리인력수 and 2 other fieldsHigh correlation
집단급식소신고여부 is highly imbalanced (75.0%)Imbalance
공시차수 is highly imbalanced (65.3%)Imbalance
위탁업체명 has 50 (94.3%) missing valuesMissing
전체유아수 has 53 (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 21 (39.6%) zerosZeros

Reproduction

Analysis started2024-03-13 09:14:06.738904
Analysis finished2024-03-13 09:14:07.925999
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
서울특별시교육청
53 

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 53
100.0%

Length

2024-03-13T18:14:07.977854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:08.050196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 53
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
성북강북교육지원청
53 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

Length

2024-03-13T18:14:08.125597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:08.200314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

유치원코드
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T18:14:08.364503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1908
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

Unique53 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ee4e-b044-e053-0a32095ab044
2nd row1ecec08c-ee4f-b044-e053-0a32095ab044
3rd row1ecec08c-ee50-b044-e053-0a32095ab044
4th row1ecec08c-ef05-b044-e053-0a32095ab044
5th row1ecec08c-ef38-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ee4e-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-016f-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0268-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0269-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-02aa-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0426-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0427-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0428-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0429-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-062f-b044-e053-0a32095ab044 1
 
1.9%
Other values (43) 43
81.1%
2024-03-13T18:14:08.684800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
56.7%
Lowercase Letter 614
32.2%
Dash Punctuation 212
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
31.1%
4 221
20.4%
5 113
 
10.4%
3 113
 
10.4%
9 72
 
6.7%
2 70
 
6.5%
8 66
 
6.1%
1 65
 
6.0%
6 14
 
1.3%
7 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
67.8%
Latin 614
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
26.0%
4 221
17.1%
- 212
16.4%
5 113
 
8.7%
3 113
 
8.7%
9 72
 
5.6%
2 70
 
5.4%
8 66
 
5.1%
1 65
 
5.0%
6 14
 
1.1%
Latin
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

유치원명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T18:14:08.936717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6037736
Min length5

Characters and Unicode

Total characters403
Distinct characters92
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

Unique53 ?
Unique (%)100.0%

Sample

1st row개동유치원
2nd row영광유치원
3rd row은영유치원
4th row두산효자유치원
5th row새싹유치원
ValueCountFrequency (%)
개동유치원 1
 
1.9%
서울동신초등학교병설유치원 1
 
1.9%
새삼선유치원 1
 
1.9%
반디유치원 1
 
1.9%
한가람유치원 1
 
1.9%
서울길음유치원 1
 
1.9%
서울삼선초등학교병설유치원 1
 
1.9%
서울성북초등학교병설유치원 1
 
1.9%
서울숭곡초등학교병설유치원 1
 
1.9%
루이유치원 1
 
1.9%
Other values (43) 43
81.1%
2024-03-13T18:14:09.285740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
사립(사인)
20 
사립(법인)
17 
공립(병설)
13 
공립(단설)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
37.7%
사립(법인) 17
32.1%
공립(병설) 13
24.5%
공립(단설) 3
 
5.7%

Length

2024-03-13T18:14:09.395893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:09.478088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
37.7%
사립(법인 17
32.1%
공립(병설 13
24.5%
공립(단설 3
 
5.7%

급식운영방식구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
직영
37 
직영(학교급식)
13 
위탁
 
3

Length

Max length8
Median length2
Mean length3.4716981
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직영 37
69.8%
직영(학교급식) 13
 
24.5%
위탁 3
 
5.7%

Length

2024-03-13T18:14:09.569781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:09.670980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 37
69.8%
직영(학교급식 13
 
24.5%
위탁 3
 
5.7%

위탁업체명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing50
Missing (%)94.3%
Memory size556.0 B
2024-03-13T18:14:09.792881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.3333333
Min length4

Characters and Unicode

Total characters19
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row온더푸드
2nd row베스트키즈푸드
3rd row(주)더바른푸드
ValueCountFrequency (%)
온더푸드 1
33.3%
베스트키즈푸드 1
33.3%
주)더바른푸드 1
33.3%
2024-03-13T18:14:10.036576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 3
15.8%
드 3
15.8%
더 2
10.5%
온 1
 
5.3%
베 1
 
5.3%
스 1
 
5.3%
트 1
 
5.3%
키 1
 
5.3%
즈 1
 
5.3%
( 1
 
5.3%
Other values (4) 4
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
89.5%
Open Punctuation 1
 
5.3%
Close Punctuation 1
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 3
17.6%
드 3
17.6%
더 2
11.8%
온 1
 
5.9%
베 1
 
5.9%
스 1
 
5.9%
트 1
 
5.9%
키 1
 
5.9%
즈 1
 
5.9%
주 1
 
5.9%
Other values (2) 2
11.8%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
89.5%
Common 2
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 3
17.6%
드 3
17.6%
더 2
11.8%
온 1
 
5.9%
베 1
 
5.9%
스 1
 
5.9%
트 1
 
5.9%
키 1
 
5.9%
즈 1
 
5.9%
주 1
 
5.9%
Other values (2) 2
11.8%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
89.5%
ASCII 2
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 3
17.6%
드 3
17.6%
더 2
11.8%
온 1
 
5.9%
베 1
 
5.9%
스 1
 
5.9%
트 1
 
5.9%
키 1
 
5.9%
즈 1
 
5.9%
주 1
 
5.9%
Other values (2) 2
11.8%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

전체유아수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

급식유아수
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.490566
Minimum8
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T18:14:10.155471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14.8
Q149
median68
Q3117
95-th percentile179.4
Maximum240
Range232
Interquartile range (IQR)68

Descriptive statistics

Standard deviation51.678973
Coefficient of variation (CV)0.63417124
Kurtosis0.6804736
Mean81.490566
Median Absolute Deviation (MAD)23
Skewness1.0128557
Sum4319
Variance2670.7163
MonotonicityNot monotonic
2024-03-13T18:14:10.270425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
68 4
 
7.5%
60 3
 
5.7%
90 2
 
3.8%
59 2
 
3.8%
65 2
 
3.8%
49 1
 
1.9%
240 1
 
1.9%
45 1
 
1.9%
13 1
 
1.9%
81 1
 
1.9%
Other values (35) 35
66.0%
ValueCountFrequency (%)
8 1
1.9%
11 1
1.9%
13 1
1.9%
16 1
1.9%
19 1
1.9%
27 1
1.9%
29 1
1.9%
34 1
1.9%
36 1
1.9%
40 1
1.9%
ValueCountFrequency (%)
240 1
1.9%
190 1
1.9%
186 1
1.9%
175 1
1.9%
172 1
1.9%
155 1
1.9%
154 1
1.9%
138 1
1.9%
136 1
1.9%
132 1
1.9%

영양교사배치여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size185.0 B
True
36 
False
17 
ValueCountFrequency (%)
True 36
67.9%
False 17
32.1%
2024-03-13T18:14:10.367441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단독배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
0
27 
<NA>
17 
1
9 

Length

Max length4
Median length1
Mean length1.9622642
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
50.9%
<NA> 17
32.1%
1 9
 
17.0%

Length

2024-03-13T18:14:10.455389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:10.542634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
50.9%
na 17
32.1%
1 9
 
17.0%

공동배치영양교사수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
27 
<NA>
17 
0
9 

Length

Max length4
Median length1
Mean length1.9622642
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
50.9%
<NA> 17
32.1%
0 9
 
17.0%

Length

2024-03-13T18:14:10.647705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:10.733021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
50.9%
na 17
32.1%
0 9
 
17.0%

조리사수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
39 
0
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
73.6%
0 14
 
26.4%

Length

2024-03-13T18:14:10.819647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:10.897648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
73.6%
0 14
 
26.4%

조리인력수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2830189
Minimum0
Maximum9
Zeros21
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-13T18:14:10.970491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5978033
Coefficient of variation (CV)1.2453467
Kurtosis9.5669967
Mean1.2830189
Median Absolute Deviation (MAD)1
Skewness2.4549431
Sum68
Variance2.5529753
MonotonicityNot monotonic
2024-03-13T18:14:11.076088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
39.6%
2 12
22.6%
1 12
22.6%
3 6
 
11.3%
5 1
 
1.9%
9 1
 
1.9%
ValueCountFrequency (%)
0 21
39.6%
1 12
22.6%
2 12
22.6%
3 6
 
11.3%
5 1
 
1.9%
9 1
 
1.9%
ValueCountFrequency (%)
9 1
 
1.9%
5 1
 
1.9%
3 6
 
11.3%
2 12
22.6%
1 12
22.6%
0 21
39.6%

집단급식소신고여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
Y
49 
X
 
2
N
 
1
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0566038
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
Y 49
92.5%
X 2
 
3.8%
N 1
 
1.9%
<NA> 1
 
1.9%

Length

2024-03-13T18:14:11.213461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:11.297951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 49
92.5%
x 2
 
3.8%
n 1
 
1.9%
na 1
 
1.9%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
20232
46 
20182
 
3
20192
 
2
20222
 
1
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

Length

2024-03-13T18:14:11.389982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:14:11.493706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T18:14:11.705794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.207547
Min length16

Characters and Unicode

Total characters965
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

Unique48 ?
Unique (%)90.6%

Sample

1st row서울특별시 성북구 보국문로 143
2nd row서울특별시 성북구 북악산로 913
3rd row서울특별시 성북구 보문사길 18
4th row서울특별시 성북구 화랑로48길 16
5th row서울특별시 성북구 정릉로 282
ValueCountFrequency (%)
서울특별시 53
25.0%
성북구 53
25.0%
성북로4길 4
 
1.9%
52 4
 
1.9%
16 3
 
1.4%
보문사길 2
 
0.9%
삼양로 2
 
0.9%
73 2
 
0.9%
66 2
 
0.9%
성북로 2
 
0.9%
Other values (79) 85
40.1%
2024-03-13T18:14:12.057275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.5%
북 62
 
6.4%
성 60
 
6.2%
서 56
 
5.8%
구 53
 
5.5%
울 53
 
5.5%
시 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
로 51
 
5.3%
Other values (48) 312
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
65.7%
Decimal Number 170
 
17.6%
Space Separator 159
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 28
16.5%
4 21
12.4%
3 17
10.0%
5 15
8.8%
6 15
8.8%
7 11
 
6.5%
9 10
 
5.9%
8 9
 
5.3%
0 9
 
5.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
65.7%
Common 331
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Common
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
65.7%
ASCII 331
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%

Interactions

2024-03-13T18:14:07.489821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:14:07.361720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:14:07.554063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:14:07.427267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T18:14:12.150980image/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
설립유형1.0001.0001.0000.6661.0000.0000.5760.5130.5130.8340.5140.0000.0000.658
급식운영방식구분1.0001.0000.6661.000NaN0.4810.2880.4980.4980.5500.7490.8060.0001.000
위탁업체명1.0001.0001.000NaN1.0001.000NaNNaNNaNNaNNaN1.0001.0001.000
급식유아수1.0001.0000.0000.4811.0001.0000.2140.7160.7160.2730.5810.5130.4100.766
영양교사배치여부1.0001.0000.5760.288NaN0.2141.000NaNNaN0.0000.0320.0720.2911.000
단독배치영양교사수1.0001.0000.5130.498NaN0.716NaN1.0000.9930.3630.5750.0000.0001.000
공동배치영양교사수1.0001.0000.5130.498NaN0.716NaN0.9931.0000.3630.5750.0000.0001.000
조리사수1.0001.0000.8340.550NaN0.2730.0000.3630.3631.0000.8050.2230.0000.472
조리인력수1.0001.0000.5140.749NaN0.5810.0320.5750.5750.8051.0000.0000.0000.950
집단급식소신고여부1.0001.0000.0000.8061.0000.5130.0720.0000.0000.2230.0001.0000.4951.000
공시차수1.0001.0000.0000.0001.0000.4100.2910.0000.0000.0000.0000.4951.0000.000
주소1.0001.0000.6581.0001.0000.7661.0001.0001.0000.4720.9501.0000.0001.000
2024-03-13T18:14:12.284844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독배치영양교사수공시차수급식운영방식구분영양교사배치여부공동배치영양교사수설립유형조리사수집단급식소신고여부
단독배치영양교사수1.0000.0000.3311.0000.9240.3350.2350.000
공시차수0.0001.0000.0000.3430.0000.0000.0000.419
급식운영방식구분0.3310.0001.0000.4600.3310.6870.8100.472
영양교사배치여부1.0000.3430.4601.0001.0000.3870.0000.115
공동배치영양교사수0.9240.0000.3311.0001.0000.3350.2350.000
설립유형0.3350.0000.6870.3870.3351.0000.6160.000
조리사수0.2350.0000.8100.0000.2350.6161.0000.360
집단급식소신고여부0.0000.4190.4720.1150.0000.0000.3601.000
2024-03-13T18:14:12.390101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식유아수조리인력수설립유형급식운영방식구분영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수집단급식소신고여부공시차수
급식유아수1.0000.3840.0000.2210.1920.6460.6460.2480.2410.234
조리인력수0.3841.0000.3470.4120.0000.3880.3880.5840.0000.000
설립유형0.0000.3471.0000.6870.3870.3350.3350.6160.0000.000
급식운영방식구분0.2210.4120.6871.0000.4600.3310.3310.8100.4720.000
영양교사배치여부0.1920.0000.3870.4601.0001.0001.0000.0000.1150.343
단독배치영양교사수0.6460.3880.3350.3311.0001.0000.9240.2350.0000.000
공동배치영양교사수0.6460.3880.3350.3311.0000.9241.0000.2350.0000.000
조리사수0.2480.5840.6160.8100.0000.2350.2351.0000.3600.000
집단급식소신고여부0.2410.0000.0000.4720.1150.0000.0000.3601.0000.419
공시차수0.2340.0000.0000.0000.3430.0000.0000.0000.4191.000

Missing values

2024-03-13T18:14:07.674215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:14:07.858574image/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
0서울특별시교육청성북강북교육지원청1ecec08c-ee4e-b044-e053-0a32095ab044개동유치원사립(법인)직영<NA><NA>53N<NA><NA>12Y20232서울특별시 성북구 보국문로 143
1서울특별시교육청성북강북교육지원청1ecec08c-ee4f-b044-e053-0a32095ab044영광유치원사립(사인)직영<NA><NA>127Y1012Y20232서울특별시 성북구 북악산로 913
2서울특별시교육청성북강북교육지원청1ecec08c-ee50-b044-e053-0a32095ab044은영유치원사립(법인)직영<NA><NA>87Y0111Y20232서울특별시 성북구 보문사길 18
3서울특별시교육청성북강북교육지원청1ecec08c-ef05-b044-e053-0a32095ab044두산효자유치원사립(사인)직영<NA><NA>68Y0112Y20232서울특별시 성북구 화랑로48길 16
4서울특별시교육청성북강북교육지원청1ecec08c-ef38-b044-e053-0a32095ab044새싹유치원사립(법인)직영<NA><NA>117Y0112Y20232서울특별시 성북구 정릉로 282
5서울특별시교육청성북강북교육지원청1ecec08c-efed-b044-e053-0a32095ab044영암유치원사립(법인)위탁온더푸드<NA>68N<NA><NA>00Y20232서울특별시 성북구 안암로7길 66
6서울특별시교육청성북강북교육지원청1ecec08c-efee-b044-e053-0a32095ab044성신유치원사립(법인)직영<NA><NA>103Y1011Y20232서울특별시 성북구 보문로34다길 2
7서울특별시교육청성북강북교육지원청1ecec08c-f051-b044-e053-0a32095ab044서울장곡초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>60Y0100Y20232서울특별시 성북구 장월로23길 16
8서울특별시교육청성북강북교육지원청1ecec08c-f350-b044-e053-0a32095ab044빛나라유치원사립(사인)직영<NA><NA>40N<NA><NA>10Y20182서울특별시 성북구 종암로9길 78
9서울특별시교육청성북강북교육지원청1ecec08c-f372-b044-e053-0a32095ab044선한유치원사립(법인)직영<NA><NA>68N<NA><NA>11Y20232서울특별시 성북구 길음로9길 73
교육청명교육지원청명유치원코드유치원명설립유형급식운영방식구분위탁업체명전체유아수급식유아수영양교사배치여부단독배치영양교사수공동배치영양교사수조리사수조리인력수집단급식소신고여부공시차수주소
43서울특별시교육청성북강북교육지원청1ecec08d-0ae6-b044-e053-0a32095ab044좋은나라유치원사립(사인)직영<NA><NA>186Y0112Y20232서울특별시 성북구 종암로24가길 53
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45서울특별시교육청성북강북교육지원청1ecec08d-0b26-b044-e053-0a32095ab044서울석관초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>65Y0100Y20232서울특별시 성북구 돌곶이로22길 21
46서울특별시교육청성북강북교육지원청1ecec08d-0d94-b044-e053-0a32095ab044동덕여자대학교부속유치원사립(법인)직영<NA><NA>136Y0111Y20232서울특별시 성북구 장월로1가길 9
47서울특별시교육청성북강북교육지원청1ecec08d-0eb6-b044-e053-0a32095ab044서울숭례초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>74Y0100Y20232서울특별시 성북구 종암로5길 14
48서울특별시교육청성북강북교육지원청1ecec08d-0f4e-b044-e053-0a32095ab044천사유치원사립(사인)직영<NA><NA>8N<NA><NA>10Y20222서울특별시 성북구 성북로4길 52
49서울특별시교육청성북강북교육지원청1ecec08d-0f77-b044-e053-0a32095ab044푸른샘유치원사립(사인)직영<NA><NA>154Y0110Y20191서울특별시 성북구 길음로13길 29
50서울특별시교육청성북강북교육지원청31f91c90-4c4e-485d-9929-976cb8bfac30서울좋은소리유치원공립(단설)직영<NA><NA>75Y0111Y20232서울특별시 성북구 길음로13길 29
51서울특별시교육청성북강북교육지원청7ec89e9b-5287-4ece-b0d3-24499defde1b서울장위초등학교병설유치원공립(병설)직영(학교급식)<NA><NA>43Y0100Y20232서울특별시 성북구 장월로8가길 41
52서울특별시교육청성북강북교육지원청9236ee2c-f1f2-4550-911b-4ee00ac5dc2d서울좋은소리유치원분원공립(단설)직영<NA><NA>55Y0111Y20232서울특별시 성북구 숭인로 50