Overview

Dataset statistics

Number of variables15
Number of observations39
Missing cells21
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory130.4 B

Variable types

Categorical6
Text3
Numeric4
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20699/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
신설유치원여부 has constant value ""Constant
공시차수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
법정일수이하여부 is highly overall correlated with 3세 수업일수 and 6 other fieldsHigh correlation
실립유형 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 방과후 과정수업일수 and 3 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 5 other fieldsHigh correlation
4세 수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 혼합연령수업일수 and 3 other fieldsHigh correlation
혼합연령수업일수 is highly imbalanced (78.4%)Imbalance
법정일수이하여부 is highly imbalanced (80.4%)Imbalance
공시차수 is highly imbalanced (52.5%)Imbalance
3세 수업일수 has 4 (10.3%) missing valuesMissing
4세 수업일수 has 3 (7.7%) missing valuesMissing
5세 수업일수 has 1 (2.6%) missing valuesMissing
법정일수이하여부 has 6 (15.4%) missing valuesMissing
신설유치원여부 has 7 (17.9%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 14:30:28.994085
Analysis finished2024-03-13 14:30:33.193028
Duration4.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 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

2024-03-13T23:30:33.248874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:30:33.332083image/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 size444.0 B
동작관악교육지원청
39 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

Length

2024-03-13T23:30:33.515877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:30:33.641841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

유치원코드
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T23:30:33.804858image/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 row1ecec08c-ed2b-b044-e053-0a32095ab044
2nd row1ecec08c-ef06-b044-e053-0a32095ab044
3rd row1ecec08c-ef08-b044-e053-0a32095ab044
4th row1ecec08c-efc0-b044-e053-0a32095ab044
5th row1ecec08c-f124-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0571-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08fa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ab-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c8b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d68-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d69-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6a-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f8-b044-e053-0a32095ab044 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T23:30:34.092783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
56.0%
Lowercase Letter 462
32.9%
Dash Punctuation 156
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
28.8%
4 155
19.7%
3 87
 
11.1%
5 79
 
10.1%
8 63
 
8.0%
1 49
 
6.2%
9 47
 
6.0%
2 44
 
5.6%
6 20
 
2.5%
7 16
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
67.1%
Latin 462
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
24.0%
- 156
16.6%
4 155
16.5%
3 87
 
9.2%
5 79
 
8.4%
8 63
 
6.7%
1 49
 
5.2%
9 47
 
5.0%
2 44
 
4.7%
6 20
 
2.1%
Latin
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
a 87
 
6.2%
3 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

유치원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T23:30:34.291018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.7692308
Min length5

Characters and Unicode

Total characters303
Distinct characters63
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 row한별유치원
2nd row동원유치원
3rd row서울관악초등학교병설유치원
4th row서울은천초등학교병설유치원
5th row서울신성초등학교병설유치원
ValueCountFrequency (%)
한별유치원 1
 
2.6%
애동유치원 1
 
2.6%
서울난곡초등학교병설유치원 1
 
2.6%
건영유치원 1
 
2.6%
해슬아유치원 1
 
2.6%
배꽃유치원 1
 
2.6%
새소슬유치원 1
 
2.6%
새싹유치원 1
 
2.6%
서울원당초등학교병설유치원 1
 
2.6%
명성유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T23:30:34.592175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
교 12
 
4.0%
설 12
 
4.0%
병 12
 
4.0%
초 12
 
4.0%
등 12
 
4.0%
Other values (53) 90
29.7%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
사립(사인)
20 
공립(병설)
12 
공립(단설)
4 
사립(법인)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
51.3%
공립(병설) 12
30.8%
공립(단설) 4
 
10.3%
사립(법인) 3
 
7.7%

Length

2024-03-13T23:30:34.700326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:30:34.783729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
51.3%
공립(병설 12
30.8%
공립(단설 4
 
10.3%
사립(법인 3
 
7.7%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct16
Distinct (%)45.7%
Missing4
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean198.85714
Minimum162
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T23:30:34.879571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile180
Q1181
median209
Q3215
95-th percentile226
Maximum241
Range79
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.120436
Coefficient of variation (CV)0.10118035
Kurtosis-1.3079376
Mean198.85714
Median Absolute Deviation (MAD)27
Skewness0.14846954
Sum6960
Variance404.83193
MonotonicityNot monotonic
2024-03-13T23:30:34.983519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
180 7
17.9%
181 7
17.9%
211 3
7.7%
215 3
7.7%
226 2
 
5.1%
182 2
 
5.1%
210 2
 
5.1%
219 1
 
2.6%
162 1
 
2.6%
216 1
 
2.6%
Other values (6) 6
15.4%
(Missing) 4
10.3%
ValueCountFrequency (%)
162 1
 
2.6%
180 7
17.9%
181 7
17.9%
182 2
 
5.1%
209 1
 
2.6%
210 2
 
5.1%
211 3
7.7%
212 1
 
2.6%
213 1
 
2.6%
215 3
7.7%
ValueCountFrequency (%)
241 1
 
2.6%
226 2
5.1%
225 1
 
2.6%
222 1
 
2.6%
219 1
 
2.6%
216 1
 
2.6%
215 3
7.7%
213 1
 
2.6%
212 1
 
2.6%
211 3
7.7%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct16
Distinct (%)44.4%
Missing3
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean199.22222
Minimum162
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T23:30:35.086345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile180
Q1181
median209.5
Q3215
95-th percentile226
Maximum241
Range79
Interquartile range (IQR)34

Descriptive statistics

Standard deviation19.954392
Coefficient of variation (CV)0.10016148
Kurtosis-1.304163
Mean199.22222
Median Absolute Deviation (MAD)22
Skewness0.098754351
Sum7172
Variance398.17778
MonotonicityNot monotonic
2024-03-13T23:30:35.489853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
180 7
17.9%
181 7
17.9%
211 4
10.3%
215 3
7.7%
226 2
 
5.1%
182 2
 
5.1%
210 2
 
5.1%
219 1
 
2.6%
162 1
 
2.6%
216 1
 
2.6%
Other values (6) 6
15.4%
(Missing) 3
7.7%
ValueCountFrequency (%)
162 1
 
2.6%
180 7
17.9%
181 7
17.9%
182 2
 
5.1%
209 1
 
2.6%
210 2
 
5.1%
211 4
10.3%
212 1
 
2.6%
214 1
 
2.6%
215 3
7.7%
ValueCountFrequency (%)
241 1
 
2.6%
226 2
5.1%
225 1
 
2.6%
222 1
 
2.6%
219 1
 
2.6%
216 1
 
2.6%
215 3
7.7%
214 1
 
2.6%
212 1
 
2.6%
211 4
10.3%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)47.4%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean199.39474
Minimum162
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T23:30:35.620980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile180
Q1181
median209.5
Q3215
95-th percentile226
Maximum241
Range79
Interquartile range (IQR)34

Descriptive statistics

Standard deviation19.636617
Coefficient of variation (CV)0.09848112
Kurtosis-1.291823
Mean199.39474
Median Absolute Deviation (MAD)21.5
Skewness0.09590159
Sum7577
Variance385.59673
MonotonicityNot monotonic
2024-03-13T23:30:35.805860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
181 9
23.1%
182 4
10.3%
180 3
 
7.7%
210 3
 
7.7%
215 3
 
7.7%
212 2
 
5.1%
211 2
 
5.1%
226 2
 
5.1%
216 1
 
2.6%
213 1
 
2.6%
Other values (8) 8
20.5%
ValueCountFrequency (%)
162 1
 
2.6%
180 3
 
7.7%
181 9
23.1%
182 4
10.3%
183 1
 
2.6%
209 1
 
2.6%
210 3
 
7.7%
211 2
 
5.1%
212 2
 
5.1%
213 1
 
2.6%
ValueCountFrequency (%)
241 1
 
2.6%
226 2
5.1%
225 1
 
2.6%
222 1
 
2.6%
219 1
 
2.6%
217 1
 
2.6%
216 1
 
2.6%
215 3
7.7%
213 1
 
2.6%
212 2
5.1%

혼합연령수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
37 
181
 
1
227
 
1

Length

Max length4
Median length4
Mean length3.9487179
Min length3

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
94.9%
181 1
 
2.6%
227 1
 
2.6%

Length

2024-03-13T23:30:35.925546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:30:36.012988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
94.9%
181 1
 
2.6%
227 1
 
2.6%

특수학급수업일수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
28 
181
8 
180
 
2
182
 
1

Length

Max length4
Median length4
Mean length3.7179487
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row<NA>
3rd row181
4th row180
5th row181

Common Values

ValueCountFrequency (%)
<NA> 28
71.8%
181 8
 
20.5%
180 2
 
5.1%
182 1
 
2.6%

Length

2024-03-13T23:30:36.099551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:30:36.187031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
71.8%
181 8
 
20.5%
180 2
 
5.1%
182 1
 
2.6%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.4359
Minimum162
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-03-13T23:30:36.268799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile226.2
Q1236.5
median249
Q3250
95-th percentile268.5
Maximum300
Range138
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation20.449932
Coefficient of variation (CV)0.083661739
Kurtosis8.3953218
Mean244.4359
Median Absolute Deviation (MAD)5
Skewness-0.77720063
Sum9533
Variance418.19973
MonotonicityNot monotonic
2024-03-13T23:30:36.367018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
250 9
23.1%
249 8
20.5%
240 2
 
5.1%
244 2
 
5.1%
300 2
 
5.1%
235 1
 
2.6%
251 1
 
2.6%
247 1
 
2.6%
265 1
 
2.6%
241 1
 
2.6%
Other values (11) 11
28.2%
ValueCountFrequency (%)
162 1
2.6%
219 1
2.6%
227 1
2.6%
230 1
2.6%
231 1
2.6%
232 1
2.6%
233 1
2.6%
234 1
2.6%
235 1
2.6%
236 1
2.6%
ValueCountFrequency (%)
300 2
 
5.1%
265 1
 
2.6%
251 1
 
2.6%
250 9
23.1%
249 8
20.5%
247 1
 
2.6%
244 2
 
5.1%
243 1
 
2.6%
241 1
 
2.6%
240 2
 
5.1%

법정일수이하여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)6.1%
Missing6
Missing (%)15.4%
Memory size210.0 B
False
32 
True
 
1
(Missing)
6 
ValueCountFrequency (%)
False 32
82.1%
True 1
 
2.6%
(Missing) 6
 
15.4%
2024-03-13T23:30:36.460082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.1%
Missing7
Missing (%)17.9%
Memory size210.0 B
False
32 
(Missing)
7 
ValueCountFrequency (%)
False 32
82.1%
(Missing) 7
 
17.9%
2024-03-13T23:30:36.528967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
20231
31 
20181
 
3
20191
 
3
20201
 
1
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
20231 31
79.5%
20181 3
 
7.7%
20191 3
 
7.7%
20201 1
 
2.6%
20211 1
 
2.6%

Length

2024-03-13T23:30:36.624539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:30:36.724253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 31
79.5%
20181 3
 
7.7%
20191 3
 
7.7%
20201 1
 
2.6%
20211 1
 
2.6%

주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-13T23:30:36.914206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.897436
Min length16

Characters and Unicode

Total characters698
Distinct characters63
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

Unique35 ?
Unique (%)89.7%

Sample

1st row서울특별시 관악구 남부순환로144길 65
2nd row서울특별시 관악구 행운1길 96
3rd row서울특별시 관악구 청룡4길 49
4th row서울특별시 관악구 은천로 69
5th row서울특별시 관악구 신림로 114
ValueCountFrequency (%)
서울특별시 39
25.0%
관악구 39
25.0%
은천로 3
 
1.9%
12 3
 
1.9%
청림5길 2
 
1.3%
22 2
 
1.3%
93 2
 
1.3%
20 2
 
1.3%
114 2
 
1.3%
광신길 1
 
0.6%
Other values (61) 61
39.1%
2024-03-13T23:30:37.248349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
16.8%
관 43
 
6.2%
악 43
 
6.2%
구 40
 
5.7%
서 39
 
5.6%
특 39
 
5.6%
별 39
 
5.6%
시 39
 
5.6%
울 39
 
5.6%
길 29
 
4.2%
Other values (53) 231
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
65.5%
Decimal Number 123
 
17.6%
Space Separator 117
 
16.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Decimal Number
ValueCountFrequency (%)
1 21
17.1%
2 20
16.3%
5 17
13.8%
4 16
13.0%
3 12
9.8%
6 10
8.1%
9 10
8.1%
0 8
 
6.5%
7 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
65.5%
Common 241
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Common
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
65.5%
ASCII 241
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
6 10
 
4.1%
9 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
관 43
9.4%
악 43
9.4%
구 40
8.8%
서 39
8.5%
특 39
8.5%
별 39
8.5%
시 39
8.5%
울 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%

Interactions

2024-03-13T23:30:32.103078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:30.668588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.022614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.619708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:32.233161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:30.780649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.177889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.750070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:32.356244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:30.861641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.385087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.866933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:32.485353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:30.942825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.495369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:30:31.987628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T23:30:37.337643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.7640.7240.7300.0000.1200.5060.0000.3330.000
3세 수업일수1.0001.0000.7641.0001.0001.000NaNNaN0.694NaN0.0000.955
4세 수업일수1.0001.0000.7241.0001.0001.000NaNNaN0.699NaN0.0000.961
5세 수업일수1.0001.0000.7301.0001.0001.000NaNNaN0.685NaN0.0000.961
혼합연령수업일수0.0000.0000.000NaNNaNNaN1.000NaN0.000NaNNaN0.000
특수학급수업일수1.0001.0000.120NaNNaNNaNNaN1.000NaNNaNNaN1.000
방과후 과정수업일수1.0001.0000.5060.6940.6990.6850.000NaN1.000NaN0.2400.934
법정일수이하여부1.0001.0000.000NaNNaNNaNNaNNaNNaN1.0001.0001.000
공시차수1.0001.0000.3330.0000.0000.000NaNNaN0.2401.0001.0000.000
주소1.0001.0000.0000.9550.9610.9610.0001.0000.9341.0000.0001.000
2024-03-13T23:30:37.460122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수법정일수이하여부실립유형특수학급수업일수혼합연령수업일수
공시차수1.0000.9840.2691.0001.000
법정일수이하여부0.9841.0000.0001.0001.000
실립유형0.2690.0001.0000.1261.000
특수학급수업일수1.0001.0000.1261.000NaN
혼합연령수업일수1.0001.0001.000NaN1.000
2024-03-13T23:30:37.559035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수실립유형혼합연령수업일수특수학급수업일수법정일수이하여부공시차수
3세 수업일수1.0001.0000.980-0.4730.5580.0001.0000.9030.505
4세 수업일수1.0001.0000.981-0.4770.5130.0001.0000.9060.408
5세 수업일수0.9800.9811.000-0.4490.522NaN1.0000.9130.413
방과후 과정수업일수-0.473-0.477-0.4491.0000.4001.0001.0000.9330.500
실립유형0.5580.5130.5220.4001.0001.0000.1260.0000.269
혼합연령수업일수0.0000.000NaN1.0001.0001.0000.0001.0001.000
특수학급수업일수1.0001.0001.0001.0000.1260.0001.0001.0001.000
법정일수이하여부0.9030.9060.9130.9330.0001.0001.0001.0000.984
공시차수0.5050.4080.4130.5000.2691.0001.0000.9841.000

Missing values

2024-03-13T23:30:32.680435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:30:32.982100image/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.
2024-03-13T23:30:33.109897image/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

교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)215215216<NA><NA>235NN20231서울특별시 관악구 남부순환로144길 65
1서울특별시교육청동작관악교육지원청1ecec08c-ef06-b044-e053-0a32095ab044동원유치원사립(사인)241241241<NA><NA>233NN20231서울특별시 관악구 행운1길 96
2서울특별시교육청동작관악교육지원청1ecec08c-ef08-b044-e053-0a32095ab044서울관악초등학교병설유치원공립(병설)180180181<NA>181250NN20231서울특별시 관악구 청룡4길 49
3서울특별시교육청동작관악교육지원청1ecec08c-efc0-b044-e053-0a32095ab044서울은천초등학교병설유치원공립(병설)180180180<NA>180250NN20231서울특별시 관악구 은천로 69
4서울특별시교육청동작관악교육지원청1ecec08c-f124-b044-e053-0a32095ab044서울신성초등학교병설유치원공립(병설)180180181<NA>181249NN20231서울특별시 관악구 신림로 114
5서울특별시교육청동작관악교육지원청1ecec08c-f1ae-b044-e053-0a32095ab044큰솔유치원사립(사인)212212212<NA><NA>240<NA><NA>20181서울특별시 관악구 관악로30길 12
6서울특별시교육청동작관악교육지원청1ecec08c-f1af-b044-e053-0a32095ab044현대유치원사립(사인)211211210<NA><NA>236NN20231서울특별시 관악구 관악로40길 55
7서울특별시교육청동작관악교육지원청1ecec08c-f3fa-b044-e053-0a32095ab044예닮유치원사립(사인)211211211<NA><NA>237<NA><NA>20191서울특별시 관악구 신원로3길 59-9
8서울특별시교육청동작관악교육지원청1ecec08c-f4c6-b044-e053-0a32095ab044예일유치원사립(사인)219219219<NA><NA>219<NA><NA>20181서울특별시 관악구 낙성대역14길 6
9서울특별시교육청동작관악교육지원청1ecec08c-f5f1-b044-e053-0a32095ab044종인유치원사립(사인)162162162<NA><NA>162Y<NA>20201서울특별시 관악구 솔밭로 20
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
29서울특별시교육청동작관악교육지원청1ecec08d-0e1e-b044-e053-0a32095ab044소슬유치원사립(사인)<NA><NA>215<NA><NA>250NN20231서울특별시 관악구 구암길 46
30서울특별시교육청동작관악교육지원청1ecec08d-0eef-b044-e053-0a32095ab044영그린유치원사립(사인)226226226<NA><NA>249NN20231서울특별시 관악구 참숯5길 12
31서울특별시교육청동작관악교육지원청1ecec08d-0f6e-b044-e053-0a32095ab044서울삼성초등학교병설유치원공립(병설)182182183<NA><NA>250NN20231서울특별시 관악구 대학7길 52
32서울특별시교육청동작관악교육지원청373b3d04-4a0f-4da0-bf9c-df6359eb0fdb서울청림유치원공립(단설)181181182<NA>181249NN20231서울특별시 관악구 청림5길 22
33서울특별시교육청동작관악교육지원청4358d8db-7469-48f9-857c-02dbc2fca508서울구암유치원공립(단설)182182182<NA>182250NN20231서울특별시 관악구 은천로 93
34서울특별시교육청동작관악교육지원청83817fd0-0833-41c3-9e8f-e368a1545128서울남현유치원공립(단설)181181182<NA>181249NN20231서울특별시 관악구 남현4길 51
35서울특별시교육청동작관악교육지원청888935f2-ff3d-497c-8cc4-96351b70533c서울신봉초등학교병설유치원공립(병설)180180180<NA><NA>265NN20231서울특별시 관악구 양녕로6나길 1
36서울특별시교육청동작관악교육지원청d203618d-94ef-4a46-bf53-6a7b4946017d서울당곡초등학교병설유치원공립(병설)180180181<NA><NA>250NN20231서울특별시 관악구 보라매로2길 23
37서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)181181181<NA>181247NN20231서울특별시 관악구 남부순환로163길 14
38서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 관악구 문성로28길 31