Overview

Dataset statistics

Number of variables15
Number of observations30
Missing cells11
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory131.4 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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-20692/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
법정일수이하여부 has constant value ""Constant
신설유치원여부 has constant value ""Constant
공시차수 is highly overall correlated with 3세 수업일수 and 2 other fieldsHigh correlation
실립유형 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 4 other fieldsHigh correlation
4세 수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 4세 수업일수 and 2 other fieldsHigh correlation
혼합연령수업일수 is highly imbalanced (78.9%)Imbalance
특수학급수업일수 is highly imbalanced (57.4%)Imbalance
공시차수 is highly imbalanced (64.6%)Imbalance
3세 수업일수 has 2 (6.7%) missing valuesMissing
4세 수업일수 has 1 (3.3%) missing valuesMissing
5세 수업일수 has 2 (6.7%) missing valuesMissing
법정일수이하여부 has 3 (10.0%) missing valuesMissing
신설유치원여부 has 3 (10.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 08:09:30.107027
Analysis finished2024-03-13 08:09:32.374730
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서울특별시교육청
30 

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 30
100.0%

Length

2024-03-13T17:09:32.434461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:09:32.535326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 30
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서부교육지원청
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 30
100.0%

Length

2024-03-13T17:09:32.622584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:09:32.698049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 30
100.0%

유치원코드
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T17:09:32.875537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1080
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

Unique30 ?
Unique (%)100.0%

Sample

1st row08d485cb-06c8-4964-bf03-ed1b178ef3fd
2nd row1ecec08c-ed18-b044-e053-0a32095ab044
3rd row1ecec08c-eed5-b044-e053-0a32095ab044
4th row1ecec08c-eed6-b044-e053-0a32095ab044
5th row1ecec08c-eed8-b044-e053-0a32095ab044
ValueCountFrequency (%)
08d485cb-06c8-4964-bf03-ed1b178ef3fd 1
 
3.3%
1ecec08c-ed18-b044-e053-0a32095ab044 1
 
3.3%
7a4a1b05-c84a-43b0-8f02-ebdbe5072f01 1
 
3.3%
7752e1a7-0e79-4b17-a19c-846d041414e2 1
 
3.3%
5c17325b-1fe9-427b-8648-bd0e5dc0130b 1
 
3.3%
1fc6dd86-cccb-d1d2-e053-0a32095ad1d2 1
 
3.3%
1ecec08d-0e40-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0d42-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0c0b-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0b27-b044-e053-0a32095ab044 1
 
3.3%
Other values (20) 20
66.7%
2024-03-13T17:09:33.170611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
16.2%
4 120
11.1%
- 120
11.1%
e 98
9.1%
c 78
 
7.2%
b 69
 
6.4%
5 62
 
5.7%
3 57
 
5.3%
a 57
 
5.3%
1 45
 
4.2%
Other values (7) 199
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
55.6%
Lowercase Letter 360
33.3%
Dash Punctuation 120
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
29.2%
4 120
20.0%
5 62
 
10.3%
3 57
 
9.5%
1 45
 
7.5%
8 41
 
6.8%
2 40
 
6.7%
9 31
 
5.2%
7 17
 
2.8%
6 12
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 98
27.2%
c 78
21.7%
b 69
19.2%
a 57
15.8%
d 38
 
10.6%
f 20
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
66.7%
Latin 360
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
24.3%
4 120
16.7%
- 120
16.7%
5 62
 
8.6%
3 57
 
7.9%
1 45
 
6.2%
8 41
 
5.7%
2 40
 
5.6%
9 31
 
4.3%
7 17
 
2.4%
Latin
ValueCountFrequency (%)
e 98
27.2%
c 78
21.7%
b 69
19.2%
a 57
15.8%
d 38
 
10.6%
f 20
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
16.2%
4 120
11.1%
- 120
11.1%
e 98
9.1%
c 78
 
7.2%
b 69
 
6.4%
5 62
 
5.7%
3 57
 
5.3%
a 57
 
5.3%
1 45
 
4.2%
Other values (7) 199
18.4%

유치원명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T17:09:33.365629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.1666667
Min length5

Characters and Unicode

Total characters275
Distinct characters64
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울소의초등학교병설유치원
2nd row홍익대학교사범대학부속유치원
3rd row서울마포초등학교병설유치원
4th row서울상암초등학교병설유치원
5th row서일유치원
ValueCountFrequency (%)
서울소의초등학교병설유치원 1
 
3.3%
홍익대학교사범대학부속유치원 1
 
3.3%
서울중동초등학교병설유치원 1
 
3.3%
서울성서초등학교병설유치원 1
 
3.3%
서울동교초등학교병설유치원 1
 
3.3%
서울성산초등학교병설유치원 1
 
3.3%
삼성그린유치원 1
 
3.3%
서울공덕초등학교병설유치원 1
 
3.3%
돌샘유치원 1
 
3.3%
마포대진유치원 1
 
3.3%
Other values (20) 20
66.7%
2024-03-13T17:09:33.682086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 30
 
10.9%
치 30
 
10.9%
원 30
 
10.9%
서 17
 
6.2%
학 15
 
5.5%
교 15
 
5.5%
울 14
 
5.1%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (54) 85
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 30
 
10.9%
치 30
 
10.9%
원 30
 
10.9%
서 17
 
6.2%
학 15
 
5.5%
교 15
 
5.5%
울 14
 
5.1%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (54) 85
30.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 30
 
10.9%
치 30
 
10.9%
원 30
 
10.9%
서 17
 
6.2%
학 15
 
5.5%
교 15
 
5.5%
울 14
 
5.1%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (54) 85
30.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 30
 
10.9%
치 30
 
10.9%
원 30
 
10.9%
서 17
 
6.2%
학 15
 
5.5%
교 15
 
5.5%
울 14
 
5.1%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (54) 85
30.9%

실립유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)
4 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립(병설) 13
43.3%
사립(사인) 13
43.3%
사립(법인) 4
 
13.3%

Length

2024-03-13T17:09:33.790230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:09:33.883311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
43.3%
사립(사인 13
43.3%
사립(법인 4
 
13.3%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)60.7%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean202.17857
Minimum180
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T17:09:33.965227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median208
Q3218.25
95-th percentile234.15
Maximum240
Range60
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation21.103016
Coefficient of variation (CV)0.10437811
Kurtosis-1.5157414
Mean202.17857
Median Absolute Deviation (MAD)22.5
Skewness0.21487689
Sum5661
Variance445.3373
MonotonicityNot monotonic
2024-03-13T17:09:34.049125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
180 6
20.0%
181 5
16.7%
225 2
 
6.7%
227 2
 
6.7%
216 1
 
3.3%
182 1
 
3.3%
222 1
 
3.3%
211 1
 
3.3%
191 1
 
3.3%
238 1
 
3.3%
Other values (7) 7
23.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
180 6
20.0%
181 5
16.7%
182 1
 
3.3%
191 1
 
3.3%
206 1
 
3.3%
210 1
 
3.3%
211 1
 
3.3%
212 1
 
3.3%
213 1
 
3.3%
214 1
 
3.3%
ValueCountFrequency (%)
240 1
3.3%
238 1
3.3%
227 2
6.7%
225 2
6.7%
222 1
3.3%
217 1
3.3%
216 1
3.3%
214 1
3.3%
213 1
3.3%
212 1
3.3%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)58.6%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean201.44828
Minimum180
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T17:09:34.138059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median206
Q3217
95-th percentile233.6
Maximum240
Range60
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.092629
Coefficient of variation (CV)0.10470494
Kurtosis-1.4974741
Mean201.44828
Median Absolute Deviation (MAD)24
Skewness0.27973942
Sum5842
Variance444.89901
MonotonicityNot monotonic
2024-03-13T17:09:34.222040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
181 6
20.0%
180 6
20.0%
225 2
 
6.7%
227 2
 
6.7%
206 1
 
3.3%
217 1
 
3.3%
210 1
 
3.3%
214 1
 
3.3%
212 1
 
3.3%
240 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
180 6
20.0%
181 6
20.0%
182 1
 
3.3%
191 1
 
3.3%
206 1
 
3.3%
210 1
 
3.3%
211 1
 
3.3%
212 1
 
3.3%
213 1
 
3.3%
214 1
 
3.3%
ValueCountFrequency (%)
240 1
3.3%
238 1
3.3%
227 2
6.7%
225 2
6.7%
222 1
3.3%
217 1
3.3%
216 1
3.3%
214 1
3.3%
213 1
3.3%
212 1
3.3%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct16
Distinct (%)57.1%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean200.21429
Minimum180
Maximum238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T17:09:34.309086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median199
Q3216.25
95-th percentile227
Maximum238
Range58
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation19.983988
Coefficient of variation (CV)0.099812999
Kurtosis-1.5840366
Mean200.21429
Median Absolute Deviation (MAD)18
Skewness0.27664528
Sum5606
Variance399.35979
MonotonicityNot monotonic
2024-03-13T17:09:34.396822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
181 9
30.0%
180 3
 
10.0%
225 2
 
6.7%
227 2
 
6.7%
216 1
 
3.3%
222 1
 
3.3%
211 1
 
3.3%
192 1
 
3.3%
238 1
 
3.3%
206 1
 
3.3%
Other values (6) 6
20.0%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
180 3
 
10.0%
181 9
30.0%
182 1
 
3.3%
192 1
 
3.3%
206 1
 
3.3%
210 1
 
3.3%
211 1
 
3.3%
212 1
 
3.3%
213 1
 
3.3%
214 1
 
3.3%
ValueCountFrequency (%)
238 1
3.3%
227 2
6.7%
225 2
6.7%
222 1
3.3%
217 1
3.3%
216 1
3.3%
214 1
3.3%
213 1
3.3%
212 1
3.3%
211 1
3.3%

혼합연령수업일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
278
 
1

Length

Max length4
Median length4
Mean length3.9666667
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
278 1
 
3.3%

Length

2024-03-13T17:09:34.511018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:09:34.593046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
278 1
 
3.3%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
26 
181
3 
180
 
1

Length

Max length4
Median length4
Mean length3.8666667
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
86.7%
181 3
 
10.0%
180 1
 
3.3%

Length

2024-03-13T17:09:34.689860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:09:34.766062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
86.7%
181 3
 
10.0%
180 1
 
3.3%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.96667
Minimum212
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T17:09:34.838861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum212
5-th percentile219.15
Q1235
median245.5
Q3249.75
95-th percentile291.25
Maximum298
Range86
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation20.318979
Coefficient of variation (CV)0.08260867
Kurtosis1.7298969
Mean245.96667
Median Absolute Deviation (MAD)6.5
Skewness1.1718683
Sum7379
Variance412.86092
MonotonicityNot monotonic
2024-03-13T17:09:34.922335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
248 3
 
10.0%
247 3
 
10.0%
251 2
 
6.7%
238 2
 
6.7%
298 2
 
6.7%
240 2
 
6.7%
235 2
 
6.7%
244 2
 
6.7%
250 2
 
6.7%
233 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
212 1
3.3%
216 1
3.3%
223 1
3.3%
225 1
3.3%
231 1
3.3%
232 1
3.3%
233 1
3.3%
235 2
6.7%
238 2
6.7%
240 2
6.7%
ValueCountFrequency (%)
298 2
6.7%
283 1
 
3.3%
278 1
 
3.3%
251 2
6.7%
250 2
6.7%
249 1
 
3.3%
248 3
10.0%
247 3
10.0%
244 2
6.7%
240 2
6.7%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.7%
Missing3
Missing (%)10.0%
Memory size192.0 B
False
27 
(Missing)
3 
ValueCountFrequency (%)
False 27
90.0%
(Missing) 3
 
10.0%
2024-03-13T17:09:34.992993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.7%
Missing3
Missing (%)10.0%
Memory size192.0 B
False
27 
(Missing)
3 
ValueCountFrequency (%)
False 27
90.0%
(Missing) 3
 
10.0%
2024-03-13T17:09:35.049874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
20231
27 
20181
 
2
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
20231 27
90.0%
20181 2
 
6.7%
20191 1
 
3.3%

Length

2024-03-13T17:09:35.128067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:09:35.203884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 27
90.0%
20181 2
 
6.7%
20191 1
 
3.3%

주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T17:09:35.362005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.9
Min length16

Characters and Unicode

Total characters567
Distinct characters54
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 마포대로24길 42
2nd row서울특별시 마포구 성미산로 111
3rd row서울특별시 마포구 도화2길 64
4th row서울특별시 마포구 월드컵북로 353
5th row서울특별시 마포구 새터산16길 14
ValueCountFrequency (%)
서울특별시 30
25.0%
마포구 30
25.0%
월드컵북로 4
 
3.3%
성미산로 2
 
1.7%
19 2
 
1.7%
월드컵로42길 2
 
1.7%
12 1
 
0.8%
백범로1길 1
 
0.8%
56 1
 
0.8%
독막로28길 1
 
0.8%
Other values (46) 46
38.3%
2024-03-13T17:09:35.681808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
15.9%
마 31
 
5.5%
포 31
 
5.5%
서 30
 
5.3%
울 30
 
5.3%
특 30
 
5.3%
별 30
 
5.3%
시 30
 
5.3%
구 30
 
5.3%
로 24
 
4.2%
Other values (44) 211
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
65.3%
Decimal Number 103
 
18.2%
Space Separator 90
 
15.9%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 31
 
8.4%
포 31
 
8.4%
서 30
 
8.1%
울 30
 
8.1%
특 30
 
8.1%
별 30
 
8.1%
시 30
 
8.1%
구 30
 
8.1%
로 24
 
6.5%
길 21
 
5.7%
Other values (32) 83
22.4%
Decimal Number
ValueCountFrequency (%)
1 24
23.3%
2 19
18.4%
3 13
12.6%
4 13
12.6%
6 10
9.7%
5 9
 
8.7%
7 5
 
4.9%
9 4
 
3.9%
0 3
 
2.9%
8 3
 
2.9%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
65.3%
Common 197
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 31
 
8.4%
포 31
 
8.4%
서 30
 
8.1%
울 30
 
8.1%
특 30
 
8.1%
별 30
 
8.1%
시 30
 
8.1%
구 30
 
8.1%
로 24
 
6.5%
길 21
 
5.7%
Other values (32) 83
22.4%
Common
ValueCountFrequency (%)
90
45.7%
1 24
 
12.2%
2 19
 
9.6%
3 13
 
6.6%
4 13
 
6.6%
6 10
 
5.1%
5 9
 
4.6%
7 5
 
2.5%
- 4
 
2.0%
9 4
 
2.0%
Other values (2) 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
65.3%
ASCII 197
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
45.7%
1 24
 
12.2%
2 19
 
9.6%
3 13
 
6.6%
4 13
 
6.6%
6 10
 
5.1%
5 9
 
4.6%
7 5
 
2.5%
- 4
 
2.0%
9 4
 
2.0%
Other values (2) 6
 
3.0%
Hangul
ValueCountFrequency (%)
마 31
 
8.4%
포 31
 
8.4%
서 30
 
8.1%
울 30
 
8.1%
특 30
 
8.1%
별 30
 
8.1%
시 30
 
8.1%
구 30
 
8.1%
로 24
 
6.5%
길 21
 
5.7%
Other values (32) 83
22.4%

Interactions

2024-03-13T17:09:31.406325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.514983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.792242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.075557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.481388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.583268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.862138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.158453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.551394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.653277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.926145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.255272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.617179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.724226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:30.999330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T17:09:31.331973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T17:09:35.772802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수특수학급수업일수방과후 과정수업일수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.7990.8020.843NaN0.8250.2481.000
3세 수업일수1.0001.0000.7991.0001.0000.915NaN0.6850.7261.000
4세 수업일수1.0001.0000.8021.0001.0000.924NaN0.7030.7321.000
5세 수업일수1.0001.0000.8430.9150.9241.000NaN0.7260.4921.000
특수학급수업일수1.0001.000NaNNaNNaNNaN1.000NaNNaN1.000
방과후 과정수업일수1.0001.0000.8250.6850.7030.726NaN1.0000.7641.000
공시차수1.0001.0000.2480.7260.7320.492NaN0.7641.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T17:09:35.889342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수혼합연령수업일수
공시차수1.0000.0631.000NaN
실립유형0.0631.0001.000NaN
특수학급수업일수1.0001.0001.000NaN
혼합연령수업일수NaNNaNNaN1.000
2024-03-13T17:09:36.003098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수실립유형혼합연령수업일수특수학급수업일수공시차수
3세 수업일수1.0001.0000.977-0.4990.705NaN1.0000.625
4세 수업일수1.0001.0000.977-0.5180.710NaN1.0000.632
5세 수업일수0.9770.9771.000-0.4900.712NaN1.0000.355
방과후 과정수업일수-0.499-0.518-0.4901.0000.650NaN1.0000.474
실립유형0.7050.7100.7120.6501.000NaN1.0000.063
혼합연령수업일수NaNNaNNaNNaNNaN1.0000.000NaN
특수학급수업일수1.0001.0001.0001.0001.0000.0001.0001.000
공시차수0.6250.6320.3550.4740.063NaN1.0001.000

Missing values

2024-03-13T17:09:31.727760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T17:09:32.178268image/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.
2024-03-13T17:09:32.296599image/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
0서울특별시교육청서부교육지원청08d485cb-06c8-4964-bf03-ed1b178ef3fd서울소의초등학교병설유치원공립(병설)181181181<NA><NA>248NN20231서울특별시 마포구 마포대로24길 42
1서울특별시교육청서부교육지원청1ecec08c-ed18-b044-e053-0a32095ab044홍익대학교사범대학부속유치원사립(법인)191191192<NA><NA>212NN20231서울특별시 마포구 성미산로 111
2서울특별시교육청서부교육지원청1ecec08c-eed5-b044-e053-0a32095ab044서울마포초등학교병설유치원공립(병설)180180180<NA><NA>250NN20231서울특별시 마포구 도화2길 64
3서울특별시교육청서부교육지원청1ecec08c-eed6-b044-e053-0a32095ab044서울상암초등학교병설유치원공립(병설)182182182<NA><NA>244NN20231서울특별시 마포구 월드컵북로 353
4서울특별시교육청서부교육지원청1ecec08c-eed8-b044-e053-0a32095ab044서일유치원사립(사인)225225225<NA><NA>235NN20231서울특별시 마포구 새터산16길 14
5서울특별시교육청서부교육지원청1ecec08c-efe0-b044-e053-0a32095ab044배영유치원사립(사인)216216216<NA><NA>233NN20231서울특별시 마포구 잔다리로6길 11
6서울특별시교육청서부교육지원청1ecec08c-f27b-b044-e053-0a32095ab044서울상지초등학교병설유치원공립(병설)181181181<NA>181251NN20231서울특별시 마포구 월드컵로42길 30
7서울특별시교육청서부교육지원청1ecec08c-f27c-b044-e053-0a32095ab044대진유치원사립(법인)227<NA><NA><NA><NA>298NN20231서울특별시 마포구 성미산로11길 36
8서울특별시교육청서부교육지원청1ecec08c-f64c-b044-e053-0a32095ab044성산아트유치원사립(사인)222222222<NA><NA>232NN20231서울특별시 마포구 새터산2길 34
9서울특별시교육청서부교육지원청1ecec08c-f72b-b044-e053-0a32095ab044정님유치원사립(사인)211211211<NA><NA>223NN20231서울특별시 마포구 숭문6길 19
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
20서울특별시교육청서부교육지원청1ecec08d-09dd-b044-e053-0a32095ab044새싹유치원사립(사인)210210210<NA><NA>283<NA><NA>20181서울특별시 마포구 월드컵북로5길 53
21서울특별시교육청서부교육지원청1ecec08d-0b27-b044-e053-0a32095ab044마포대진유치원사립(법인)<NA>227227<NA><NA>298NN20231서울특별시 마포구 성미산로 110
22서울특별시교육청서부교육지원청1ecec08d-0c0b-b044-e053-0a32095ab044돌샘유치원사립(사인)225225225<NA><NA>225NN20231서울특별시 마포구 백범로37길 12
23서울특별시교육청서부교육지원청1ecec08d-0d42-b044-e053-0a32095ab044서울공덕초등학교병설유치원공립(병설)181181181<NA><NA>247NN20231서울특별시 마포구 만리재옛길 13
24서울특별시교육청서부교육지원청1ecec08d-0e40-b044-e053-0a32095ab044삼성그린유치원사립(사인)217217217<NA><NA>247NN20231서울특별시 마포구 도화4길 62
25서울특별시교육청서부교육지원청1fc6dd86-cccb-d1d2-e053-0a32095ad1d2서울성산초등학교병설유치원공립(병설)180180180<NA>180251NN20231서울특별시 마포구 양화로3길 94
26서울특별시교육청서부교육지원청5c17325b-1fe9-427b-8648-bd0e5dc0130b서울동교초등학교병설유치원공립(병설)180180181278<NA>278NN20231서울특별시 마포구 월드컵로25길 86
27서울특별시교육청서부교육지원청7752e1a7-0e79-4b17-a19c-846d041414e2서울성서초등학교병설유치원공립(병설)180180181<NA>181250NN20231서울특별시 마포구 성미산로7길 24
28서울특별시교육청서부교육지원청7a4a1b05-c84a-43b0-8f02-ebdbe5072f01서울중동초등학교병설유치원공립(병설)180180180<NA><NA>244NN20231서울특별시 마포구 월드컵북로 152
29서울특별시교육청서부교육지원청eb8cde61-5718-4f14-ab59-7df432e254ee서울한서초등학교병설유치원공립(병설)181181181<NA><NA>248NN20231서울특별시 마포구 대흥로24바길 27