Overview

Dataset statistics

Number of variables15
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory131.3 B

Variable types

Categorical8
Text3
Numeric4

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,독립편성학급수,오후재편성학급수,운영시간,독립편성참여원아수,오후재편성참여원아수,정규교사수,기간제교사수,강사수,공시차수,주소
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-22286/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
독립편성학급수 is highly overall correlated with 운영시간 and 1 other fieldsHigh correlation
독립편성참여원아수 is highly overall correlated with 독립편성학급수 and 1 other fieldsHigh correlation
오후재편성학급수 is highly overall correlated with 오후재편성참여원아수High correlation
오후재편성참여원아수 is highly overall correlated with 오후재편성학급수High correlation
정규교사수 is highly overall correlated with 강사수High correlation
강사수 is highly overall correlated with 정규교사수 and 1 other fieldsHigh correlation
설립유형 is highly overall correlated with 강사수High correlation
운영시간 is highly overall correlated with 독립편성학급수 and 1 other fieldsHigh correlation
독립편성학급수 is highly imbalanced (74.3%)Imbalance
기간제교사수 is highly imbalanced (59.4%)Imbalance
공시차수 is highly imbalanced (82.8%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
오후재편성학급수 has 3 (7.7%) zerosZeros
오후재편성참여원아수 has 3 (7.7%) zerosZeros
정규교사수 has 14 (35.9%) zerosZeros
강사수 has 26 (66.7%) zerosZeros

Reproduction

Analysis started2024-04-14 10:29:12.848476
Analysis finished2024-04-14 10:29:20.966428
Duration8.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
서울특별시교육청
39 

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 39
100.0%

Length

2024-04-14T19:29:21.145744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:21.600630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 39
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
강서양천교육지원청
39 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 39
100.0%

Length

2024-04-14T19:29:21.906006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:22.202364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 39
100.0%

유치원코드
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-04-14T19:29:22.859925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1404
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

Unique39 ?
Unique (%)100.0%

Sample

1st row1dfcc6e7-c6ff-4843-b970-cfba072320b4
2nd row1ecec08c-ed7f-b044-e053-0a32095ab044
3rd row1ecec08c-ed80-b044-e053-0a32095ab044
4th row1ecec08c-ed81-b044-e053-0a32095ab044
5th row1ecec08c-ef9b-b044-e053-0a32095ab044
ValueCountFrequency (%)
1dfcc6e7-c6ff-4843-b970-cfba072320b4 1
 
2.6%
1ecec08d-0121-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-02b0-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-054c-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0599-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-05b8-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08bb-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08bc-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0913-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-018d-b044-e053-0a32095ab044 1
 
2.6%
Other values (29) 29
74.4%
2024-04-14T19:29:23.963013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 236
16.8%
- 156
11.1%
4 151
10.8%
e 119
8.5%
c 106
7.5%
a 89
 
6.3%
5 83
 
5.9%
3 81
 
5.8%
b 81
 
5.8%
9 53
 
3.8%
Other values (7) 249
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 784
55.8%
Lowercase Letter 464
33.0%
Dash Punctuation 156
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 236
30.1%
4 151
19.3%
5 83
 
10.6%
3 81
 
10.3%
9 53
 
6.8%
8 51
 
6.5%
2 48
 
6.1%
1 48
 
6.1%
6 20
 
2.6%
7 13
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 119
25.6%
c 106
22.8%
a 89
19.2%
b 81
17.5%
d 39
 
8.4%
f 30
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 940
67.0%
Latin 464
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 236
25.1%
- 156
16.6%
4 151
16.1%
5 83
 
8.8%
3 81
 
8.6%
9 53
 
5.6%
8 51
 
5.4%
2 48
 
5.1%
1 48
 
5.1%
6 20
 
2.1%
Latin
ValueCountFrequency (%)
e 119
25.6%
c 106
22.8%
a 89
19.2%
b 81
17.5%
d 39
 
8.4%
f 30
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 236
16.8%
- 156
11.1%
4 151
10.8%
e 119
8.5%
c 106
7.5%
a 89
 
6.3%
5 83
 
5.9%
3 81
 
5.8%
b 81
 
5.8%
9 53
 
3.8%
Other values (7) 249
17.7%

유치원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-04-14T19:29:24.755719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.7948718
Min length5

Characters and Unicode

Total characters304
Distinct characters58
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

Unique39 ?
Unique (%)100.0%

Sample

1st row서울강월초등학교병설유치원
2nd row새서울유치원
3rd row샘터유치원
4th row서울경인유치원
5th row서울월촌초등학교병설유치원
ValueCountFrequency (%)
서울강월초등학교병설유치원 1
 
2.6%
어린이의정원유치원 1
 
2.6%
서울강신초등학교병설유치원 1
 
2.6%
세화유치원 1
 
2.6%
서울장수초등학교병설유치원 1
 
2.6%
등대유치원 1
 
2.6%
한서유치원 1
 
2.6%
해림유치원 1
 
2.6%
신목유치원 1
 
2.6%
광영유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-04-14T19:29:25.969593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 42
13.8%
유 39
12.8%
치 39
12.8%
서 17
 
5.6%
울 15
 
4.9%
등 14
 
4.6%
초 12
 
3.9%
학 12
 
3.9%
교 12
 
3.9%
병 12
 
3.9%
Other values (48) 90
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 42
13.8%
유 39
12.8%
치 39
12.8%
서 17
 
5.6%
울 15
 
4.9%
등 14
 
4.6%
초 12
 
3.9%
학 12
 
3.9%
교 12
 
3.9%
병 12
 
3.9%
Other values (48) 90
29.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 42
13.8%
유 39
12.8%
치 39
12.8%
서 17
 
5.6%
울 15
 
4.9%
등 14
 
4.6%
초 12
 
3.9%
학 12
 
3.9%
교 12
 
3.9%
병 12
 
3.9%
Other values (48) 90
29.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 42
13.8%
유 39
12.8%
치 39
12.8%
서 17
 
5.6%
울 15
 
4.9%
등 14
 
4.6%
초 12
 
3.9%
학 12
 
3.9%
교 12
 
3.9%
병 12
 
3.9%
Other values (48) 90
29.6%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size440.0 B
사립(사인)
21 
공립(병설)
12 
사립(법인)
4 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
53.8%
공립(병설) 12
30.8%
사립(법인) 4
 
10.3%
공립(단설) 2
 
5.1%

Length

2024-04-14T19:29:26.361471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:26.674034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
53.8%
공립(병설 12
30.8%
사립(법인 4
 
10.3%
공립(단설 2
 
5.1%

독립편성학급수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size440.0 B
0
36 
4
 
1
6
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row0
2nd row0
3rd row4
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
92.3%
4 1
 
2.6%
6 1
 
2.6%
3 1
 
2.6%

Length

2024-04-14T19:29:27.021759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:27.331011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
92.3%
4 1
 
2.6%
6 1
 
2.6%
3 1
 
2.6%

오후재편성학급수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3076923
Minimum0
Maximum7
Zeros3
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-04-14T19:29:27.627977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6.1
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7343867
Coefficient of variation (CV)0.52434946
Kurtosis0.090867391
Mean3.3076923
Median Absolute Deviation (MAD)1
Skewness0.13477342
Sum129
Variance3.0080972
MonotonicityNot monotonic
2024-04-14T19:29:27.970079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 11
28.2%
4 10
25.6%
2 6
15.4%
0 3
 
7.7%
6 3
 
7.7%
1 2
 
5.1%
7 2
 
5.1%
5 2
 
5.1%
ValueCountFrequency (%)
0 3
 
7.7%
1 2
 
5.1%
2 6
15.4%
3 11
28.2%
4 10
25.6%
5 2
 
5.1%
6 3
 
7.7%
7 2
 
5.1%
ValueCountFrequency (%)
7 2
 
5.1%
6 3
 
7.7%
5 2
 
5.1%
4 10
25.6%
3 11
28.2%
2 6
15.4%
1 2
 
5.1%
0 3
 
7.7%

운영시간
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size440.0 B
07시00분~19시00분
8 
07시30분~19시30분
8 
07시00분~20시00분
6 
09시00분~17시00분
4 
09시00분~18시00분
3 
Other values (7)
10 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique4 ?
Unique (%)10.3%

Sample

1st row07시00분~19시00분
2nd row08시00분~20시00분
3rd row08시00분~19시00분
4th row09시00분~17시00분
5th row07시30분~19시30분

Common Values

ValueCountFrequency (%)
07시00분~19시00분 8
20.5%
07시30분~19시30분 8
20.5%
07시00분~20시00분 6
15.4%
09시00분~17시00분 4
10.3%
09시00분~18시00분 3
 
7.7%
08시00분~20시00분 2
 
5.1%
08시00분~19시30분 2
 
5.1%
08시00분~18시30분 2
 
5.1%
08시00분~19시00분 1
 
2.6%
09시00분~20시00분 1
 
2.6%
Other values (2) 2
 
5.1%

Length

2024-04-14T19:29:28.292761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시00분~19시00분 8
20.5%
07시30분~19시30분 8
20.5%
07시00분~20시00분 6
15.4%
09시00분~17시00분 4
10.3%
09시00분~18시00분 3
 
7.7%
08시00분~20시00분 2
 
5.1%
08시00분~19시30분 2
 
5.1%
08시00분~18시30분 2
 
5.1%
08시00분~19시00분 1
 
2.6%
09시00분~20시00분 1
 
2.6%
Other values (2) 2
 
5.1%

독립편성참여원아수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size440.0 B
0
21 
<NA>
15 
113
 
1
140
 
1
50
 
1

Length

Max length4
Median length1
Mean length2.2820513
Min length1

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row0
2nd row0
3rd row113
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 21
53.8%
<NA> 15
38.5%
113 1
 
2.6%
140 1
 
2.6%
50 1
 
2.6%

Length

2024-04-14T19:29:28.491008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:28.677911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
53.8%
na 15
38.5%
113 1
 
2.6%
140 1
 
2.6%
50 1
 
2.6%

오후재편성참여원아수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.974359
Minimum0
Maximum142
Zeros3
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-04-14T19:29:28.877262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median53
Q385.5
95-th percentile136.2
Maximum142
Range142
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation38.626066
Coefficient of variation (CV)0.63348048
Kurtosis-0.37153752
Mean60.974359
Median Absolute Deviation (MAD)19
Skewness0.42305145
Sum2378
Variance1491.973
MonotonicityNot monotonic
2024-04-14T19:29:29.089019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
47 4
 
10.3%
0 3
 
7.7%
19 2
 
5.1%
40 2
 
5.1%
45 1
 
2.6%
102 1
 
2.6%
114 1
 
2.6%
44 1
 
2.6%
90 1
 
2.6%
5 1
 
2.6%
Other values (22) 22
56.4%
ValueCountFrequency (%)
0 3
7.7%
5 1
 
2.6%
10 1
 
2.6%
19 2
5.1%
38 1
 
2.6%
39 1
 
2.6%
40 2
5.1%
44 1
 
2.6%
45 1
 
2.6%
47 4
10.3%
ValueCountFrequency (%)
142 1
2.6%
138 1
2.6%
136 1
2.6%
120 1
2.6%
114 1
2.6%
106 1
2.6%
105 1
2.6%
102 1
2.6%
92 1
2.6%
90 1
2.6%

정규교사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5897436
Minimum0
Maximum10
Zeros14
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-04-14T19:29:29.289858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q34
95-th percentile6.2
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5620505
Coefficient of variation (CV)0.98930661
Kurtosis0.3898391
Mean2.5897436
Median Absolute Deviation (MAD)3
Skewness0.82087311
Sum101
Variance6.5641026
MonotonicityNot monotonic
2024-04-14T19:29:29.473810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
35.9%
4 9
23.1%
3 5
 
12.8%
6 4
 
10.3%
2 3
 
7.7%
1 2
 
5.1%
8 1
 
2.6%
10 1
 
2.6%
ValueCountFrequency (%)
0 14
35.9%
1 2
 
5.1%
2 3
 
7.7%
3 5
 
12.8%
4 9
23.1%
6 4
 
10.3%
8 1
 
2.6%
10 1
 
2.6%
ValueCountFrequency (%)
10 1
 
2.6%
8 1
 
2.6%
6 4
 
10.3%
4 9
23.1%
3 5
 
12.8%
2 3
 
7.7%
1 2
 
5.1%
0 14
35.9%

기간제교사수
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size440.0 B
0
33 
1
4 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
84.6%
1 4
 
10.3%
2 1
 
2.6%
4 1
 
2.6%

Length

2024-04-14T19:29:29.668114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:29.841061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
84.6%
1 4
 
10.3%
2 1
 
2.6%
4 1
 
2.6%

강사수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2820513
Minimum0
Maximum7
Zeros26
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-04-14T19:29:29.997795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0254787
Coefficient of variation (CV)1.5798734
Kurtosis0.33155894
Mean1.2820513
Median Absolute Deviation (MAD)0
Skewness1.2758517
Sum50
Variance4.1025641
MonotonicityNot monotonic
2024-04-14T19:29:30.177717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 26
66.7%
4 4
 
10.3%
5 3
 
7.7%
3 3
 
7.7%
2 1
 
2.6%
1 1
 
2.6%
7 1
 
2.6%
ValueCountFrequency (%)
0 26
66.7%
1 1
 
2.6%
2 1
 
2.6%
3 3
 
7.7%
4 4
 
10.3%
5 3
 
7.7%
7 1
 
2.6%
ValueCountFrequency (%)
7 1
 
2.6%
5 3
 
7.7%
4 4
 
10.3%
3 3
 
7.7%
2 1
 
2.6%
1 1
 
2.6%
0 26
66.7%

공시차수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size440.0 B
20231
38 
20221
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
20231 38
97.4%
20221 1
 
2.6%

Length

2024-04-14T19:29:30.378211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:29:30.541583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 38
97.4%
20221 1
 
2.6%

주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-04-14T19:29:31.236645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.871795
Min length16

Characters and Unicode

Total characters736
Distinct characters39
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

Unique39 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 신월로 97
2nd row서울특별시 양천구 목동서로 340
3rd row서울특별시 양천구 신월로 99
4th row서울특별시 양천구 안양천로 1009
5th row서울특별시 양천구 목동중앙로 132
ValueCountFrequency (%)
서울특별시 39
25.0%
양천구 39
25.0%
목동서로 4
 
2.6%
목동동로 4
 
2.6%
30 3
 
1.9%
22 3
 
1.9%
신정로 2
 
1.3%
신월로 2
 
1.3%
280 2
 
1.3%
57 2
 
1.3%
Other values (54) 56
35.9%
2024-04-14T19:29:32.216687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
15.9%
서 44
 
6.0%
양 40
 
5.4%
천 40
 
5.4%
특 39
 
5.3%
별 39
 
5.3%
시 39
 
5.3%
구 39
 
5.3%
울 39
 
5.3%
로 39
 
5.3%
Other values (29) 261
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
66.3%
Decimal Number 127
 
17.3%
Space Separator 117
 
15.9%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 44
9.0%
양 40
 
8.2%
천 40
 
8.2%
특 39
 
8.0%
별 39
 
8.0%
시 39
 
8.0%
구 39
 
8.0%
울 39
 
8.0%
로 39
 
8.0%
동 28
 
5.7%
Other values (17) 102
20.9%
Decimal Number
ValueCountFrequency (%)
2 24
18.9%
0 20
15.7%
1 17
13.4%
3 17
13.4%
4 10
7.9%
8 10
7.9%
9 8
 
6.3%
7 8
 
6.3%
6 7
 
5.5%
5 6
 
4.7%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
66.3%
Common 248
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 44
9.0%
양 40
 
8.2%
천 40
 
8.2%
특 39
 
8.0%
별 39
 
8.0%
시 39
 
8.0%
구 39
 
8.0%
울 39
 
8.0%
로 39
 
8.0%
동 28
 
5.7%
Other values (17) 102
20.9%
Common
ValueCountFrequency (%)
117
47.2%
2 24
 
9.7%
0 20
 
8.1%
1 17
 
6.9%
3 17
 
6.9%
4 10
 
4.0%
8 10
 
4.0%
9 8
 
3.2%
7 8
 
3.2%
6 7
 
2.8%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
66.3%
ASCII 248
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
47.2%
2 24
 
9.7%
0 20
 
8.1%
1 17
 
6.9%
3 17
 
6.9%
4 10
 
4.0%
8 10
 
4.0%
9 8
 
3.2%
7 8
 
3.2%
6 7
 
2.8%
Other values (2) 10
 
4.0%
Hangul
ValueCountFrequency (%)
서 44
9.0%
양 40
 
8.2%
천 40
 
8.2%
특 39
 
8.0%
별 39
 
8.0%
시 39
 
8.0%
구 39
 
8.0%
울 39
 
8.0%
로 39
 
8.0%
동 28
 
5.7%
Other values (17) 102
20.9%

Interactions

2024-04-14T19:29:18.989340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:15.988280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:17.003691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:18.010706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:19.243037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:16.252129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:17.259022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:18.263230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:19.496091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:16.507539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:17.513478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:18.511374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:19.737071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:16.749356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:17.754947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:29:18.743320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T19:29:32.386801image/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
설립유형1.0001.0001.0000.0000.5920.0000.0000.2680.7790.4100.7310.0001.000
독립편성학급수1.0001.0000.0001.0000.7661.0001.0000.0000.0000.0000.6120.0001.000
오후재편성학급수1.0001.0000.5920.7661.0000.6390.5010.6740.8600.8450.4210.0001.000
운영시간1.0001.0000.0001.0000.6391.0001.0000.0000.4110.0000.2440.0001.000
독립편성참여원아수1.0001.0000.0001.0000.5011.0001.0000.0000.2890.0000.5920.0001.000
오후재편성참여원아수1.0001.0000.2680.0000.6740.0000.0001.0000.4780.0000.1720.4331.000
정규교사수1.0001.0000.7790.0000.8600.4110.2890.4781.0000.5430.0000.0001.000
기간제교사수1.0001.0000.4100.0000.8450.0000.0000.0000.5431.0000.0000.0001.000
강사수1.0001.0000.7310.6120.4210.2440.5920.1720.0000.0001.0000.0001.000
공시차수1.0001.0000.0000.0000.0000.0000.0000.4330.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-14T19:29:32.625038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
독립편성학급수운영시간설립유형공시차수독립편성참여원아수기간제교사수
독립편성학급수1.0000.8780.0000.0001.0000.000
운영시간0.8781.0000.0000.0000.8370.000
설립유형0.0000.0001.0000.0000.0000.163
공시차수0.0000.0000.0001.0000.0000.000
독립편성참여원아수1.0000.8370.0000.0001.0000.000
기간제교사수0.0000.0000.1630.0000.0001.000
2024-04-14T19:29:32.812631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
오후재편성학급수오후재편성참여원아수정규교사수강사수설립유형독립편성학급수운영시간독립편성참여원아수기간제교사수공시차수
오후재편성학급수1.0000.7710.3290.0320.2720.4020.2970.1830.4840.000
오후재편성참여원아수0.7711.0000.441-0.2490.1250.0000.0000.0000.0000.285
정규교사수0.3290.4411.000-0.7410.3670.0840.2460.2150.0000.000
강사수0.032-0.249-0.7411.0000.5760.4470.0610.3910.0000.000
설립유형0.2720.1250.3670.5761.0000.0000.0000.0000.1630.000
독립편성학급수0.4020.0000.0840.4470.0001.0000.8781.0000.0000.000
운영시간0.2970.0000.2460.0610.0000.8781.0000.8370.0000.000
독립편성참여원아수0.1830.0000.2150.3910.0001.0000.8371.0000.0000.000
기간제교사수0.4840.0000.0000.0000.1630.0000.0000.0001.0000.000
공시차수0.0000.2850.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2024-04-14T19:29:20.112952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T19:29:20.713311image/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

교육청명교육지원청명유치원코드유치원명설립유형독립편성학급수오후재편성학급수운영시간독립편성참여원아수오후재편성참여원아수정규교사수기간제교사수강사수공시차수주소
0서울특별시교육청강서양천교육지원청1dfcc6e7-c6ff-4843-b970-cfba072320b4서울강월초등학교병설유치원공립(병설)0107시00분~19시00분01002020231서울특별시 양천구 신월로 97
1서울특별시교육청강서양천교육지원청1ecec08c-ed7f-b044-e053-0a32095ab044새서울유치원사립(사인)0408시00분~20시00분05940020231서울특별시 양천구 목동서로 340
2서울특별시교육청강서양천교육지원청1ecec08c-ed80-b044-e053-0a32095ab044샘터유치원사립(사인)4008시00분~19시00분113040020231서울특별시 양천구 신월로 99
3서울특별시교육청강서양천교육지원청1ecec08c-ed81-b044-e053-0a32095ab044서울경인유치원공립(단설)0309시00분~17시00분05000520231서울특별시 양천구 안양천로 1009
4서울특별시교육청강서양천교육지원청1ecec08c-ef9b-b044-e053-0a32095ab044서울월촌초등학교병설유치원공립(병설)0407시30분~19시30분<NA>5800420231서울특별시 양천구 목동중앙로 132
5서울특별시교육청강서양천교육지원청1ecec08c-f320-b044-e053-0a32095ab044원일유치원사립(법인)0308시00분~19시30분05230020231서울특별시 양천구 목동동로 350
6서울특별시교육청강서양천교육지원청1ecec08c-f3d6-b044-e053-0a32095ab044서울영도초등학교병설유치원공립(병설)0307시00분~19시00분03800420231서울특별시 양천구 목동중앙로 70
7서울특별시교육청강서양천교육지원청1ecec08c-f449-b044-e053-0a32095ab044동연유치원사립(사인)0209시00분~20시00분<NA>5320020231서울특별시 양천구 목동중앙북로7길 22
8서울특별시교육청강서양천교육지원청1ecec08c-f44a-b044-e053-0a32095ab044목성유치원사립(사인)6008시30분~17시30분140060020231서울특별시 양천구 목동동로 50
9서울특별시교육청강서양천교육지원청1ecec08c-f5de-b044-e053-0a32095ab044서울서정초등학교병설유치원공립(병설)0307시00분~19시00분<NA>4700420231서울특별시 양천구 목동로8길 19
교육청명교육지원청명유치원코드유치원명설립유형독립편성학급수오후재편성학급수운영시간독립편성참여원아수오후재편성참여원아수정규교사수기간제교사수강사수공시차수주소
29서울특별시교육청강서양천교육지원청1ecec08d-0c03-b044-e053-0a32095ab044빛나유치원사립(사인)0307시00분~20시00분09030020231서울특별시 양천구 목동로 212
30서울특별시교육청강서양천교육지원청1ecec08d-0c04-b044-e053-0a32095ab044서울신기초등학교병설유치원공립(병설)0307시00분~20시00분04701320231서울특별시 양천구 신정로 292
31서울특별시교육청강서양천교육지원청1ecec08d-0e6c-b044-e053-0a32095ab044경성유치원사립(사인)0509시00분~18시00분0541020231서울특별시 양천구 목동로3길 57
32서울특별시교육청강서양천교육지원청1ecec08d-0e6d-b044-e053-0a32095ab044등촌유치원사립(사인)0209시00분~18시00분04500020231서울특별시 양천구 목동중앙북로8길 46
33서울특별시교육청강서양천교육지원청1ecec08d-0ef0-b044-e053-0a32095ab044꿈나무유치원사립(사인)0608시00분~18시30분<NA>12060020231서울특별시 양천구 목동서로 280
34서울특별시교육청강서양천교육지원청1fc6dd86-cccf-d1d2-e053-0a32095ad1d2목동유치원사립(사인)0407시00분~19시00분010540020231서울특별시 양천구 오목로42길 13
35서울특별시교육청강서양천교육지원청8abcadee-6df5-4c85-9e38-cba5a2d519a5서울양동초등학교병설유치원공립(병설)0307시30분~19시30분04700320231서울특별시 양천구 오목로23길 24
36서울특별시교육청강서양천교육지원청9c26aa7f-0f07-4613-9136-4984c723803f꿈꾸는유치원사립(사인)0408시00분~18시30분<NA>13840020231서울특별시 양천구 오목로4길 8
37서울특별시교육청강서양천교육지원청a59a057e-4f5c-411a-bb2a-60068691c766세신유치원사립(법인)0407시00분~20시00분06940020231서울특별시 양천구 목동동로1길 38
38서울특별시교육청강서양천교육지원청d72d2e90-cf0d-4a9b-8697-a47e692aa3ea서울신정유치원공립(단설)0707시30분~19시30분010600720231서울특별시 양천구 신정로7길 81-4