Overview

Dataset statistics

Number of variables15
Number of observations36
Missing cells17
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory131.6 B

Variable types

Categorical7
Text3
Numeric5

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,독립편성학급수,오후재편성학급수,운영시간,독립편성참여원아수,오후재편성참여원아수,정규교사수,기간제교사수,강사수,공시차수,주소
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-22294/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
오후재편성학급수 is highly overall correlated with 독립편성참여원아수 and 1 other fieldsHigh correlation
독립편성참여원아수 is highly overall correlated with 오후재편성학급수 and 2 other fieldsHigh correlation
오후재편성참여원아수 is highly overall correlated with 오후재편성학급수 and 2 other fieldsHigh correlation
정규교사수 is highly overall correlated with 오후재편성참여원아수 and 1 other fieldsHigh correlation
강사수 is highly overall correlated with 정규교사수 and 1 other fieldsHigh correlation
독립편성학급수 is highly overall correlated with 독립편성참여원아수High correlation
운영시간 is highly overall correlated with 독립편성참여원아수 and 2 other fieldsHigh correlation
공시차수 is highly overall correlated with 강사수 and 1 other fieldsHigh correlation
독립편성학급수 is highly imbalanced (63.5%)Imbalance
공시차수 is highly imbalanced (81.7%)Imbalance
독립편성참여원아수 has 13 (36.1%) missing valuesMissing
오후재편성참여원아수 has 4 (11.1%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
오후재편성학급수 has 4 (11.1%) zerosZeros
독립편성참여원아수 has 18 (50.0%) zerosZeros
정규교사수 has 14 (38.9%) zerosZeros
강사수 has 22 (61.1%) zerosZeros

Reproduction

Analysis started2024-04-14 10:44:50.899217
Analysis finished2024-04-14 10:45:01.889912
Duration10.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
서울특별시교육청
36 

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 36
100.0%

Length

2024-04-14T19:45:02.103523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:45:02.420767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
강남서초교육지원청
36 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남서초교육지원청 36
100.0%

Length

2024-04-14T19:45:02.744128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:45:03.054024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남서초교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-14T19:45:03.760126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1296
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

Unique36 ?
Unique (%)100.0%

Sample

1st row16f86a3d-1aa1-471d-bcd4-a563853f8658
2nd row18f5dfe2-27c7-47f3-af41-5a4a944a77fe
3rd row1ecec08c-ed1d-b044-e053-0a32095ab044
4th row1ecec08c-ef04-b044-e053-0a32095ab044
5th row1ecec08c-efef-b044-e053-0a32095ab044
ValueCountFrequency (%)
16f86a3d-1aa1-471d-bcd4-a563853f8658 1
 
2.8%
18f5dfe2-27c7-47f3-af41-5a4a944a77fe 1
 
2.8%
1ecec08d-0e61-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-01d8-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-04db-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0a98-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0b98-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0d4f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e60-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e63-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-04-14T19:45:04.931602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 204
15.7%
- 144
11.1%
4 144
11.1%
e 116
9.0%
c 87
 
6.7%
a 80
 
6.2%
5 77
 
5.9%
3 75
 
5.8%
b 73
 
5.6%
1 48
 
3.7%
Other values (7) 248
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
55.6%
Lowercase Letter 432
33.3%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
28.3%
4 144
20.0%
5 77
 
10.7%
3 75
 
10.4%
1 48
 
6.7%
8 47
 
6.5%
9 45
 
6.2%
2 39
 
5.4%
6 21
 
2.9%
7 20
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 116
26.9%
c 87
20.1%
a 80
18.5%
b 73
16.9%
d 39
 
9.0%
f 37
 
8.6%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
66.7%
Latin 432
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 204
23.6%
- 144
16.7%
4 144
16.7%
5 77
 
8.9%
3 75
 
8.7%
1 48
 
5.6%
8 47
 
5.4%
9 45
 
5.2%
2 39
 
4.5%
6 21
 
2.4%
Latin
ValueCountFrequency (%)
e 116
26.9%
c 87
20.1%
a 80
18.5%
b 73
16.9%
d 39
 
9.0%
f 37
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 204
15.7%
- 144
11.1%
4 144
11.1%
e 116
9.0%
c 87
 
6.7%
a 80
 
6.2%
5 77
 
5.9%
3 75
 
5.8%
b 73
 
5.6%
1 48
 
3.7%
Other values (7) 248
19.1%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-14T19:45:05.671728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.5277778
Min length5

Characters and Unicode

Total characters307
Distinct characters73
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울신구유치원
2nd row서울세명유치원
3rd row서울언주초등학교병설유치원
4th row도곡렉슬유치원
5th row영동제일유치원
ValueCountFrequency (%)
서울신구유치원 1
 
2.8%
서울세명유치원 1
 
2.8%
서울대현초등학교병설유치원 1
 
2.8%
서울율현초등학교병설유치원 1
 
2.8%
서울논현초등학교병설유치원 1
 
2.8%
오즈의마법사유치원 1
 
2.8%
반디유치원 1
 
2.8%
이화유치원 1
 
2.8%
서울개포유치원 1
 
2.8%
성결유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-04-14T19:45:06.848218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 37
 
12.1%
유 37
 
12.1%
치 36
 
11.7%
서 18
 
5.9%
울 17
 
5.5%
학 14
 
4.6%
초 14
 
4.6%
등 13
 
4.2%
교 13
 
4.2%
병 13
 
4.2%
Other values (63) 95
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 37
 
12.1%
유 37
 
12.1%
치 36
 
11.7%
서 18
 
5.9%
울 17
 
5.5%
학 14
 
4.6%
초 14
 
4.6%
등 13
 
4.2%
교 13
 
4.2%
병 13
 
4.2%
Other values (63) 95
30.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 37
 
12.1%
유 37
 
12.1%
치 36
 
11.7%
서 18
 
5.9%
울 17
 
5.5%
학 14
 
4.6%
초 14
 
4.6%
등 13
 
4.2%
교 13
 
4.2%
병 13
 
4.2%
Other values (63) 95
30.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 37
 
12.1%
유 37
 
12.1%
치 36
 
11.7%
서 18
 
5.9%
울 17
 
5.5%
학 14
 
4.6%
초 14
 
4.6%
등 13
 
4.2%
교 13
 
4.2%
병 13
 
4.2%
Other values (63) 95
30.9%

설립유형
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size416.0 B
사립(사인)
16 
공립(병설)
13 
공립(단설)
4 
사립(법인)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 16
44.4%
공립(병설) 13
36.1%
공립(단설) 4
 
11.1%
사립(법인) 3
 
8.3%

Length

2024-04-14T19:45:07.259580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:45:07.589774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 16
44.4%
공립(병설 13
36.1%
공립(단설 4
 
11.1%
사립(법인 3
 
8.3%

독립편성학급수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
31 
1
 
2
5
 
1
9
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 31
86.1%
1 2
 
5.6%
5 1
 
2.8%
9 1
 
2.8%
4 1
 
2.8%

Length

2024-04-14T19:45:07.960825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:45:08.290039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 2
 
5.6%
5 1
 
2.8%
9 1
 
2.8%
4 1
 
2.8%

오후재편성학급수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9444444
Minimum0
Maximum18
Zeros4
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-14T19:45:08.601390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q34
95-th percentile5.25
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9947043
Coefficient of variation (CV)1.0170694
Kurtosis18.608957
Mean2.9444444
Median Absolute Deviation (MAD)1
Skewness3.7535354
Sum106
Variance8.968254
MonotonicityNot monotonic
2024-04-14T19:45:08.962981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 11
30.6%
3 7
19.4%
4 5
13.9%
1 4
 
11.1%
0 4
 
11.1%
5 3
 
8.3%
6 1
 
2.8%
18 1
 
2.8%
ValueCountFrequency (%)
0 4
 
11.1%
1 4
 
11.1%
2 11
30.6%
3 7
19.4%
4 5
13.9%
5 3
 
8.3%
6 1
 
2.8%
18 1
 
2.8%
ValueCountFrequency (%)
18 1
 
2.8%
6 1
 
2.8%
5 3
 
8.3%
4 5
13.9%
3 7
19.4%
2 11
30.6%
1 4
 
11.1%
0 4
 
11.1%

운영시간
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
07시30분~19시30분
8 
09시00분~17시00분
5 
07시00분~19시00분
5 
08시30분~18시00분
4 
07시00분~20시00분
4 
Other values (7)
10 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique4 ?
Unique (%)11.1%

Sample

1st row07시30분~19시30분
2nd row07시30분~19시30분
3rd row07시30분~19시30분
4th row08시30분~18시00분
5th row09시00분~17시00분

Common Values

ValueCountFrequency (%)
07시30분~19시30분 8
22.2%
09시00분~17시00분 5
13.9%
07시00분~19시00분 5
13.9%
08시30분~18시00분 4
11.1%
07시00분~20시00분 4
11.1%
07시30분~19시00분 2
 
5.6%
08시00분~18시00분 2
 
5.6%
09시00분~18시00분 2
 
5.6%
08시00분~19시00분 1
 
2.8%
09시00분~19시00분 1
 
2.8%
Other values (2) 2
 
5.6%

Length

2024-04-14T19:45:09.366131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시30분~19시30분 8
22.2%
09시00분~17시00분 5
13.9%
07시00분~19시00분 5
13.9%
08시30분~18시00분 4
11.1%
07시00분~20시00분 4
11.1%
07시30분~19시00분 2
 
5.6%
08시00분~18시00분 2
 
5.6%
09시00분~18시00분 2
 
5.6%
08시00분~19시00분 1
 
2.8%
09시00분~19시00분 1
 
2.8%
Other values (2) 2
 
5.6%

독립편성참여원아수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct6
Distinct (%)26.1%
Missing13
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean17.608696
Minimum0
Maximum193
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-14T19:45:09.691804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile112.1
Maximum193
Range193
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.114695
Coefficient of variation (CV)2.6756493
Kurtosis9.298132
Mean17.608696
Median Absolute Deviation (MAD)0
Skewness3.0494669
Sum405
Variance2219.7945
MonotonicityNot monotonic
2024-04-14T19:45:10.044413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
50.0%
18 1
 
2.8%
117 1
 
2.8%
193 1
 
2.8%
9 1
 
2.8%
68 1
 
2.8%
(Missing) 13
36.1%
ValueCountFrequency (%)
0 18
50.0%
9 1
 
2.8%
18 1
 
2.8%
68 1
 
2.8%
117 1
 
2.8%
193 1
 
2.8%
ValueCountFrequency (%)
193 1
 
2.8%
117 1
 
2.8%
68 1
 
2.8%
18 1
 
2.8%
9 1
 
2.8%
0 18
50.0%

오후재편성참여원아수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)93.8%
Missing4
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean61.375
Minimum4
Maximum408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-14T19:45:10.420603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile13.1
Q126
median44.5
Q371.5
95-th percentile116.15
Maximum408
Range404
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation70.706914
Coefficient of variation (CV)1.1520475
Kurtosis19.410385
Mean61.375
Median Absolute Deviation (MAD)21
Skewness4.0148951
Sum1964
Variance4999.4677
MonotonicityNot monotonic
2024-04-14T19:45:10.837382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
52 2
 
5.6%
26 2
 
5.6%
42 1
 
2.8%
83 1
 
2.8%
27 1
 
2.8%
31 1
 
2.8%
18 1
 
2.8%
408 1
 
2.8%
4 1
 
2.8%
105 1
 
2.8%
Other values (20) 20
55.6%
(Missing) 4
 
11.1%
ValueCountFrequency (%)
4 1
2.8%
12 1
2.8%
14 1
2.8%
15 1
2.8%
17 1
2.8%
18 1
2.8%
25 1
2.8%
26 2
5.6%
27 1
2.8%
31 1
2.8%
ValueCountFrequency (%)
408 1
2.8%
120 1
2.8%
113 1
2.8%
107 1
2.8%
105 1
2.8%
91 1
2.8%
83 1
2.8%
76 1
2.8%
70 1
2.8%
67 1
2.8%

정규교사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5833333
Minimum0
Maximum18
Zeros14
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-14T19:45:11.195661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile7.5
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.564708
Coefficient of variation (CV)1.379887
Kurtosis9.2796973
Mean2.5833333
Median Absolute Deviation (MAD)2
Skewness2.615023
Sum93
Variance12.707143
MonotonicityNot monotonic
2024-04-14T19:45:11.550524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 14
38.9%
2 7
19.4%
4 4
 
11.1%
3 3
 
8.3%
1 2
 
5.6%
7 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%
9 1
 
2.8%
18 1
 
2.8%
ValueCountFrequency (%)
0 14
38.9%
1 2
 
5.6%
2 7
19.4%
3 3
 
8.3%
4 4
 
11.1%
5 1
 
2.8%
6 1
 
2.8%
7 2
 
5.6%
9 1
 
2.8%
18 1
 
2.8%
ValueCountFrequency (%)
18 1
 
2.8%
9 1
 
2.8%
7 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%
4 4
 
11.1%
3 3
 
8.3%
2 7
19.4%
1 2
 
5.6%
0 14
38.9%

기간제교사수
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
29 
2
5 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
80.6%
2 5
 
13.9%
1 2
 
5.6%

Length

2024-04-14T19:45:11.948976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:45:12.269772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
2 5
 
13.9%
1 2
 
5.6%

강사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0555556
Minimum0
Maximum6
Zeros22
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-14T19:45:12.557998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5481684
Coefficient of variation (CV)1.4666859
Kurtosis1.5884476
Mean1.0555556
Median Absolute Deviation (MAD)0
Skewness1.4186688
Sum38
Variance2.3968254
MonotonicityNot monotonic
2024-04-14T19:45:12.885465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 22
61.1%
2 7
 
19.4%
3 3
 
8.3%
4 2
 
5.6%
6 1
 
2.8%
1 1
 
2.8%
ValueCountFrequency (%)
0 22
61.1%
1 1
 
2.8%
2 7
 
19.4%
3 3
 
8.3%
4 2
 
5.6%
6 1
 
2.8%
ValueCountFrequency (%)
6 1
 
2.8%
4 2
 
5.6%
3 3
 
8.3%
2 7
 
19.4%
1 1
 
2.8%
0 22
61.1%

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size416.0 B
20231
35 
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row20231
2nd row20231
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 35
97.2%
20211 1
 
2.8%

Length

2024-04-14T19:45:13.264326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:45:13.580152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 35
97.2%
20211 1
 
2.8%

주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-14T19:45:14.331859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.861111
Min length16

Characters and Unicode

Total characters679
Distinct characters50
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 압구정로18길 28
2nd row서울특별시 강남구 자곡로 55
3rd row서울특별시 강남구 남부순환로363길 19
4th row서울특별시 강남구 선릉로 221
5th row서울특별시 강남구 삼성로120길 28
ValueCountFrequency (%)
서울특별시 36
25.0%
강남구 36
25.0%
15 4
 
2.8%
17 3
 
2.1%
28 3
 
2.1%
자곡로 2
 
1.4%
5 2
 
1.4%
33 2
 
1.4%
8 2
 
1.4%
헌릉로618길 2
 
1.4%
Other values (51) 52
36.1%
2024-04-14T19:45:15.574311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
15.9%
구 40
 
5.9%
1 40
 
5.9%
남 39
 
5.7%
강 38
 
5.6%
로 36
 
5.3%
울 36
 
5.3%
서 36
 
5.3%
시 36
 
5.3%
별 36
 
5.3%
Other values (40) 234
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
63.8%
Decimal Number 138
 
20.3%
Space Separator 108
 
15.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 40
9.2%
남 39
9.0%
강 38
8.8%
로 36
8.3%
울 36
8.3%
서 36
8.3%
시 36
8.3%
별 36
8.3%
특 36
8.3%
길 28
 
6.5%
Other values (29) 72
16.6%
Decimal Number
ValueCountFrequency (%)
1 40
29.0%
2 18
13.0%
5 16
 
11.6%
6 12
 
8.7%
8 11
 
8.0%
7 10
 
7.2%
4 10
 
7.2%
3 8
 
5.8%
0 7
 
5.1%
9 6
 
4.3%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
63.8%
Common 246
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 40
9.2%
남 39
9.0%
강 38
8.8%
로 36
8.3%
울 36
8.3%
서 36
8.3%
시 36
8.3%
별 36
8.3%
특 36
8.3%
길 28
 
6.5%
Other values (29) 72
16.6%
Common
ValueCountFrequency (%)
108
43.9%
1 40
 
16.3%
2 18
 
7.3%
5 16
 
6.5%
6 12
 
4.9%
8 11
 
4.5%
7 10
 
4.1%
4 10
 
4.1%
3 8
 
3.3%
0 7
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
63.8%
ASCII 246
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
43.9%
1 40
 
16.3%
2 18
 
7.3%
5 16
 
6.5%
6 12
 
4.9%
8 11
 
4.5%
7 10
 
4.1%
4 10
 
4.1%
3 8
 
3.3%
0 7
 
2.8%
Hangul
ValueCountFrequency (%)
구 40
9.2%
남 39
9.0%
강 38
8.8%
로 36
8.3%
울 36
8.3%
서 36
8.3%
시 36
8.3%
별 36
8.3%
특 36
8.3%
길 28
 
6.5%
Other values (29) 72
16.6%

Interactions

2024-04-14T19:44:59.204267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:53.969607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:55.272560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:56.614142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:57.915997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:59.458358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:54.236399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:55.535914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:56.872373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:58.173795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:59.723468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:54.501048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:55.819164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:57.134792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:58.436910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:45:00.140429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:54.763288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:56.084089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:57.399997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:58.700361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:45:00.392411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:55.021767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:56.347386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:57.663486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:44:58.956017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T19:45:16.028778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형독립편성학급수오후재편성학급수운영시간독립편성참여원아수오후재편성참여원아수정규교사수기간제교사수강사수공시차수주소
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
설립유형1.0001.0001.0000.4860.3460.7970.8500.5080.5820.2660.6560.0001.000
독립편성학급수1.0001.0000.4861.0000.0000.2981.0000.0000.5830.1930.0000.0001.000
오후재편성학급수1.0001.0000.3460.0001.0000.5480.0000.7190.7450.0000.0000.0001.000
운영시간1.0001.0000.7970.2980.5481.0000.8130.9260.8190.0000.8361.0001.000
독립편성참여원아수1.0001.0000.8501.0000.0000.8131.000NaN0.6970.0000.0000.0001.000
오후재편성참여원아수1.0001.0000.5080.0000.7190.926NaN1.0000.7800.0000.3640.0001.000
정규교사수1.0001.0000.5820.5830.7450.8190.6970.7801.0000.0000.3980.0001.000
기간제교사수1.0001.0000.2660.1930.0000.0000.0000.0000.0001.0000.0000.0001.000
강사수1.0001.0000.6560.0000.0000.8360.0000.3640.3980.0001.0001.0001.000
공시차수1.0001.0000.0000.0000.0001.0000.0000.0000.0000.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-14T19:45:16.378415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
독립편성학급수공시차수운영시간기간제교사수설립유형
독립편성학급수1.0000.0000.1130.1310.406
공시차수0.0001.0000.8400.0000.000
운영시간0.1130.8401.0000.0000.412
기간제교사수0.1310.0000.0001.0000.246
설립유형0.4060.0000.4120.2461.000
2024-04-14T19:45:16.655892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
오후재편성학급수독립편성참여원아수오후재편성참여원아수정규교사수강사수설립유형독립편성학급수운영시간기간제교사수공시차수
오후재편성학급수1.000-0.6520.6470.2820.0120.2780.0000.2860.0000.000
독립편성참여원아수-0.6521.000-0.1080.287-0.2630.4990.9730.5760.0000.000
오후재편성참여원아수0.647-0.1081.0000.727-0.3860.2100.0000.5570.0000.000
정규교사수0.2820.2870.7271.000-0.8450.3970.4320.4060.0000.000
강사수0.012-0.263-0.386-0.8451.0000.4670.0000.4250.0000.939
설립유형0.2780.4990.2100.3970.4671.0000.4060.4120.2460.000
독립편성학급수0.0000.9730.0000.4320.0000.4061.0000.1130.1310.000
운영시간0.2860.5760.5570.4060.4250.4120.1131.0000.0000.840
기간제교사수0.0000.0000.0000.0000.0000.2460.1310.0001.0000.000
공시차수0.0000.0000.0000.0000.9390.0000.0000.8400.0001.000

Missing values

2024-04-14T19:45:00.758045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T19:45:01.367612image/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.
2024-04-14T19:45:01.743818image/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

교육청명교육지원청명유치원코드유치원명설립유형독립편성학급수오후재편성학급수운영시간독립편성참여원아수오후재편성참여원아수정규교사수기간제교사수강사수공시차수주소
0서울특별시교육청강남서초교육지원청16f86a3d-1aa1-471d-bcd4-a563853f8658서울신구유치원공립(단설)1207시30분~19시30분182622020231서울특별시 강남구 압구정로18길 28
1서울특별시교육청강남서초교육지원청18f5dfe2-27c7-47f3-af41-5a4a944a77fe서울세명유치원공립(단설)0507시30분~19시30분<NA>7600620231서울특별시 강남구 자곡로 55
2서울특별시교육청강남서초교육지원청1ecec08c-ed1d-b044-e053-0a32095ab044서울언주초등학교병설유치원공립(병설)0307시30분~19시30분05200420231서울특별시 강남구 남부순환로363길 19
3서울특별시교육청강남서초교육지원청1ecec08c-ef04-b044-e053-0a32095ab044도곡렉슬유치원사립(사인)0208시30분~18시00분<NA>4221020231서울특별시 강남구 선릉로 221
4서울특별시교육청강남서초교육지원청1ecec08c-efef-b044-e053-0a32095ab044영동제일유치원사립(사인)0309시00분~17시00분08330020231서울특별시 강남구 삼성로120길 28
5서울특별시교육청강남서초교육지원청1ecec08c-f42d-b044-e053-0a32095ab044서울수서초등학교병설유치원공립(병설)0107시00분~20시00분<NA>1700220231서울특별시 강남구 광평로51길 46
6서울특별시교육청강남서초교육지원청1ecec08c-f43c-b044-e053-0a32095ab044선경유치원사립(사인)0108시30분~18시00분01210020231서울특별시 강남구 삼성로 151
7서울특별시교육청강남서초교육지원청1ecec08c-f43d-b044-e053-0a32095ab044신아유치원사립(사인)0107시30분~19시00분<NA>11340020231서울특별시 강남구 개포로110길 15
8서울특별시교육청강남서초교육지원청1ecec08c-f495-b044-e053-0a32095ab044서울도곡초등학교병설유치원공립(병설)0307시00분~19시00분04400320231서울특별시 강남구 선릉로64길 33
9서울특별시교육청강남서초교육지원청1ecec08c-f4c8-b044-e053-0a32095ab044청담몬테소리유치원사립(사인)0408시30분~18시00분<NA>9140020231서울특별시 강남구 학동로67길 15
교육청명교육지원청명유치원코드유치원명설립유형독립편성학급수오후재편성학급수운영시간독립편성참여원아수오후재편성참여원아수정규교사수기간제교사수강사수공시차수주소
26서울특별시교육청강남서초교육지원청1ecec08d-0e61-b044-e053-0a32095ab044서울대현초등학교병설유치원공립(병설)0207시30분~19시30분01500220231서울특별시 강남구 역삼로98길 16
27서울특별시교육청강남서초교육지원청1ecec08d-0e63-b044-e053-0a32095ab044성결유치원사립(사인)0208시30분~18시00분03622020231서울특별시 강남구 언주로121길 5
28서울특별시교육청강남서초교육지원청1ecec08d-0e64-b044-e053-0a32095ab044성요셉유치원사립(법인)0509시00분~18시00분<NA>10570020231서울특별시 강남구 압구정로77길 28
29서울특별시교육청강남서초교육지원청1ecec08d-0e65-b044-e053-0a32095ab044소망유치원사립(사인)1009시00분~17시00분9<NA>10020231서울특별시 강남구 광평로56길 11
30서울특별시교육청강남서초교육지원청1fd6777e-1508-e0b0-e053-0a32095ae0b0서울은곡유치원공립(단설)0407시00분~19시00분0401320231서울특별시 강남구 헌릉로569길 41
31서울특별시교육청강남서초교육지원청34140010-58e8-44b4-9e91-49d5eb6669e1강남유정유치원사립(사인)01808시00분~18시00분0408180020231서울특별시 강남구 광평로34길 17
32서울특별시교육청강남서초교육지원청3cedfdf0-2006-43f2-853b-29e001e6637a서울영희초등학교병설유치원공립(병설)4007시00분~20시00분68<NA>02220231서울특별시 강남구 일원로 21
33서울특별시교육청강남서초교육지원청b2d7325d-5742-4adf-ad7a-4fcc9ea8f9dc서울청담초등학교병설유치원공립(병설)0207시30분~19시30분01820020231서울특별시 강남구 압구정로71길 9
34서울특별시교육청강남서초교육지원청d66d57de-9a60-4eab-8ca9-38b9d53c57e0서울포이초등학교병설유치원공립(병설)0207시30분~19시30분03100220231서울특별시 강남구 개포로22길 87
35서울특별시교육청강남서초교육지원청fccf9482-0b1c-4f4b-a7e7-cffe7f40b07b서울학동초등학교병설유치원공립(병설)0207시00분~20시00분<NA>2700220231서울특별시 강남구 선릉로115길 42