Overview

Dataset statistics

Number of variables24
Number of observations38
Missing cells31
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory208.5 B

Variable types

Categorical11
Text7
Numeric6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,대표자명,원장명,설립일,개원일,주소,전화번호,홈페이지,운영시간,만3세학급수,만4세학급수,만5세학급수,혼합학급수,특수학급수,만3세유아수,만4세유아수,만5세유아수,혼합유아수,특수유아수,공시차수
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20583/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
특수학급수 is highly imbalanced (60.2%)Imbalance
특수유아수 is highly imbalanced (70.3%)Imbalance
홈페이지 has 6 (15.8%) missing valuesMissing
만3세유아수 has 10 (26.3%) missing valuesMissing
만4세유아수 has 9 (23.7%) missing valuesMissing
만5세유아수 has 6 (15.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
원장명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
혼합유아수 has 29 (76.3%) zerosZeros

Reproduction

Analysis started2024-03-13 08:06:16.546597
Analysis finished2024-03-13 08:06:16.871602
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-13T17:06:16.924250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:17.018893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
성동광진교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

Length

2024-03-13T17:06:17.114450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:17.213563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:06:17.406654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-eee1-b044-e053-0a32095ab044
2nd row1ecec08c-eee2-b044-e053-0a32095ab044
3rd row1ecec08c-eee3-b044-e053-0a32095ab044
4th row1ecec08c-eee4-b044-e053-0a32095ab044
5th row1ecec08c-f0da-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-eee1-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-066f-b044-e053-0a32095ab044 1
 
2.6%
ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952 1
 
2.6%
1ecec08d-0077-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0078-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0248-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-02a6-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0341-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04b5-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0840-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T17:06:17.705700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
17.6%
- 152
11.1%
4 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 773
56.5%
Lowercase Letter 443
32.4%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
31.2%
4 152
19.7%
3 84
 
10.9%
5 82
 
10.6%
8 48
 
6.2%
1 46
 
6.0%
2 45
 
5.8%
9 44
 
5.7%
7 19
 
2.5%
6 12
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 925
67.6%
Latin 443
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
26.1%
- 152
16.4%
4 152
16.4%
3 84
 
9.1%
5 82
 
8.9%
8 48
 
5.2%
1 46
 
5.0%
2 45
 
4.9%
9 44
 
4.8%
7 19
 
2.1%
Latin
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
17.6%
- 152
11.1%
4 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:06:17.921120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters266
Distinct characters62
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

Unique38 ?
Unique (%)100.0%

Sample

1st row선경유치원
2nd row성산유치원
3rd row자양유치원
4th row프라임유치원
5th row서울자양초등학교병설유치원
ValueCountFrequency (%)
선경유치원 1
 
2.6%
서울신자초등학교병설유치원 1
 
2.6%
서울용곡초등학교병설유치원 1
 
2.6%
선화유치원 1
 
2.6%
청구이화유치원 1
 
2.6%
동심유치원 1
 
2.6%
아이조아유치원 1
 
2.6%
경원유치원 1
 
2.6%
인애유치원 1
 
2.6%
한일유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T17:06:18.236733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

설립유형
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
23 
공립(병설)
8 
사립(법인)
7 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 23
60.5%
공립(병설) 8
 
21.1%
사립(법인) 7
 
18.4%

Length

2024-03-13T17:06:18.346746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:18.440618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 23
60.5%
공립(병설 8
 
21.1%
사립(법인 7
 
18.4%

대표자명
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:06:18.582974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.7368421
Min length3

Characters and Unicode

Total characters142
Distinct characters74
Distinct categories2 ?
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 (%)94.7%

Sample

1st row성현정
2nd row대한예수교장로회고신총회유지재단
3rd row이윤예
4th row최을재
5th row양금주
ValueCountFrequency (%)
이명희 2
 
5.1%
안혜경 1
 
2.6%
류형숙 1
 
2.6%
학교법인선학학원 1
 
2.6%
이미애 1
 
2.6%
권명희 1
 
2.6%
민태혁 1
 
2.6%
송미정 1
 
2.6%
최영숙 1
 
2.6%
장봉석 1
 
2.6%
Other values (28) 28
71.8%
2024-03-13T17:06:18.852739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
3.5%
희 5
 
3.5%
최 5
 
3.5%
재 4
 
2.8%
정 4
 
2.8%
선 4
 
2.8%
김 4
 
2.8%
숙 4
 
2.8%
회 4
 
2.8%
원 4
 
2.8%
Other values (64) 99
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
99.3%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
3.5%
희 5
 
3.5%
최 5
 
3.5%
재 4
 
2.8%
정 4
 
2.8%
선 4
 
2.8%
김 4
 
2.8%
숙 4
 
2.8%
회 4
 
2.8%
원 4
 
2.8%
Other values (63) 98
69.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
3.5%
희 5
 
3.5%
최 5
 
3.5%
재 4
 
2.8%
정 4
 
2.8%
선 4
 
2.8%
김 4
 
2.8%
숙 4
 
2.8%
회 4
 
2.8%
원 4
 
2.8%
Other values (63) 98
69.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
3.5%
희 5
 
3.5%
최 5
 
3.5%
재 4
 
2.8%
정 4
 
2.8%
선 4
 
2.8%
김 4
 
2.8%
숙 4
 
2.8%
회 4
 
2.8%
원 4
 
2.8%
Other values (63) 98
69.5%
ASCII
ValueCountFrequency (%)
1
100.0%

원장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:06:19.045009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114
Distinct characters57
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

Unique38 ?
Unique (%)100.0%

Sample

1st row성현정
2nd row조은영
3rd row이연정
4th row정유진
5th row양금주
ValueCountFrequency (%)
성현정 1
 
2.6%
안혜경 1
 
2.6%
류형숙 1
 
2.6%
강은숙 1
 
2.6%
이미애 1
 
2.6%
권명희 1
 
2.6%
민태혁 1
 
2.6%
송미정 1
 
2.6%
최영숙 1
 
2.6%
장봉석 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T17:06:19.326973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 8
 
7.0%
희 6
 
5.3%
정 6
 
5.3%
숙 5
 
4.4%
은 4
 
3.5%
미 4
 
3.5%
박 4
 
3.5%
김 4
 
3.5%
조 4
 
3.5%
이 3
 
2.6%
Other values (47) 66
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 8
 
7.0%
희 6
 
5.3%
정 6
 
5.3%
숙 5
 
4.4%
은 4
 
3.5%
미 4
 
3.5%
박 4
 
3.5%
김 4
 
3.5%
조 4
 
3.5%
이 3
 
2.6%
Other values (47) 66
57.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 8
 
7.0%
희 6
 
5.3%
정 6
 
5.3%
숙 5
 
4.4%
은 4
 
3.5%
미 4
 
3.5%
박 4
 
3.5%
김 4
 
3.5%
조 4
 
3.5%
이 3
 
2.6%
Other values (47) 66
57.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 8
 
7.0%
희 6
 
5.3%
정 6
 
5.3%
숙 5
 
4.4%
은 4
 
3.5%
미 4
 
3.5%
박 4
 
3.5%
김 4
 
3.5%
조 4
 
3.5%
이 3
 
2.6%
Other values (47) 66
57.9%

설립일
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19925484
Minimum19680308
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:06:19.472587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680308
5-th percentile19775950
Q119833253
median19910218
Q319977682
95-th percentile20168590
Maximum20210301
Range529993
Interquartile range (IQR)144428.5

Descriptive statistics

Standard deviation121325.13
Coefficient of variation (CV)0.006088943
Kurtosis0.38629895
Mean19925484
Median Absolute Deviation (MAD)69998.5
Skewness0.67090462
Sum7.5716838 × 108
Variance1.4719788 × 1010
MonotonicityNot monotonic
2024-03-13T17:06:19.597553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20210301 2
 
5.3%
19680308 1
 
2.6%
19830302 1
 
2.6%
19980307 1
 
2.6%
19960326 1
 
2.6%
19970120 1
 
2.6%
20021115 1
 
2.6%
19821227 1
 
2.6%
19780314 1
 
2.6%
19970301 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
19680308 1
2.6%
19751219 1
2.6%
19780314 1
2.6%
19820305 1
2.6%
19820623 1
2.6%
19821210 1
2.6%
19821227 1
2.6%
19830302 1
2.6%
19830314 1
2.6%
19830901 1
2.6%
ValueCountFrequency (%)
20210301 2
5.3%
20161229 1
2.6%
20140211 1
2.6%
20050301 1
2.6%
20030223 1
2.6%
20021227 1
2.6%
20021115 1
2.6%
19980307 1
2.6%
19980106 1
2.6%
19970409 1
2.6%

개원일
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19931206
Minimum19680308
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:06:19.718266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680308
5-th percentile19775950
Q119840336
median19915228
Q319980312
95-th percentile20176301
Maximum20210301
Range529993
Interquartile range (IQR)139975

Descriptive statistics

Standard deviation121667.74
Coefficient of variation (CV)0.0061043844
Kurtosis0.28183604
Mean19931206
Median Absolute Deviation (MAD)74864.5
Skewness0.57692307
Sum7.5738582 × 108
Variance1.480304 × 1010
MonotonicityNot monotonic
2024-03-13T17:06:19.828042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20210301 2
 
5.3%
19680308 1
 
2.6%
19830302 1
 
2.6%
19980307 1
 
2.6%
19960326 1
 
2.6%
19970120 1
 
2.6%
20021115 1
 
2.6%
20020301 1
 
2.6%
19780314 1
 
2.6%
19970317 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
19680308 1
2.6%
19751219 1
2.6%
19780314 1
2.6%
19820305 1
2.6%
19820623 1
2.6%
19821210 1
2.6%
19830302 1
2.6%
19830314 1
2.6%
19830901 1
2.6%
19840310 1
2.6%
ValueCountFrequency (%)
20210301 2
5.3%
20170301 1
2.6%
20140211 1
2.6%
20050301 1
2.6%
20030301 1
2.6%
20030223 1
2.6%
20021115 1
2.6%
20020301 1
2.6%
19980313 1
2.6%
19980307 1
2.6%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:06:20.067465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.052632
Min length16

Characters and Unicode

Total characters724
Distinct characters52
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 뚝섬로66길 14
2nd row서울특별시 광진구 뚝섬로59길 18
3rd row서울특별시 광진구 자양로5길 36
4th row서울특별시 광진구 광나루로56길 5
5th row서울특별시 광진구 아차산로44길 26
ValueCountFrequency (%)
서울특별시 38
25.0%
광진구 38
25.0%
영화사로 2
 
1.3%
광나루로 2
 
1.3%
65 2
 
1.3%
아차산로 2
 
1.3%
군자로12길 1
 
0.7%
능동로4길 1
 
0.7%
89 1
 
0.7%
긴고랑로7길 1
 
0.7%
Other values (64) 64
42.1%
2024-03-13T17:06:20.387638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.7%
광 43
 
5.9%
서 38
 
5.2%
울 38
 
5.2%
구 38
 
5.2%
진 38
 
5.2%
로 38
 
5.2%
시 38
 
5.2%
별 38
 
5.2%
특 38
 
5.2%
Other values (42) 263
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
64.1%
Decimal Number 140
 
19.3%
Space Separator 114
 
15.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
울 38
8.2%
구 38
8.2%
진 38
8.2%
로 38
8.2%
시 38
8.2%
별 38
8.2%
특 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
16.4%
5 22
15.7%
4 19
13.6%
2 19
13.6%
6 17
12.1%
3 12
8.6%
0 9
 
6.4%
7 8
 
5.7%
9 6
 
4.3%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
64.1%
Common 260
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
울 38
8.2%
구 38
8.2%
진 38
8.2%
로 38
8.2%
시 38
8.2%
별 38
8.2%
특 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%
Common
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
4 19
 
7.3%
2 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
64.1%
ASCII 260
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
4 19
 
7.3%
2 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
울 38
8.2%
구 38
8.2%
진 38
8.2%
로 38
8.2%
시 38
8.2%
별 38
8.2%
특 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%

전화번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T17:06:20.580727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.131579
Min length11

Characters and Unicode

Total characters423
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row02-447-0852
2nd row02-455-0581
3rd row02-446-4345
4th row02-453-0671
5th row02-455-8051
ValueCountFrequency (%)
02-447-0852 1
 
2.6%
02-450-5690 1
 
2.6%
02-6956-7233 1
 
2.6%
02-2204-1050~2 1
 
2.6%
02-458-5981 1
 
2.6%
02-499-6101 1
 
2.6%
02-498-9903 1
 
2.6%
02-446-9777 1
 
2.6%
02-457-6109 1
 
2.6%
02-454-0002 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T17:06:20.887746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
18.0%
0 64
15.1%
4 57
13.5%
2 56
13.2%
5 38
9.0%
6 30
 
7.1%
7 24
 
5.7%
1 22
 
5.2%
9 22
 
5.2%
8 17
 
4.0%
Other values (2) 17
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 346
81.8%
Dash Punctuation 76
 
18.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
18.5%
4 57
16.5%
2 56
16.2%
5 38
11.0%
6 30
8.7%
7 24
 
6.9%
1 22
 
6.4%
9 22
 
6.4%
8 17
 
4.9%
3 16
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
18.0%
0 64
15.1%
4 57
13.5%
2 56
13.2%
5 38
9.0%
6 30
 
7.1%
7 24
 
5.7%
1 22
 
5.2%
9 22
 
5.2%
8 17
 
4.0%
Other values (2) 17
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
18.0%
0 64
15.1%
4 57
13.5%
2 56
13.2%
5 38
9.0%
6 30
 
7.1%
7 24
 
5.7%
1 22
 
5.2%
9 22
 
5.2%
8 17
 
4.0%
Other values (2) 17
 
4.0%

홈페이지
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing6
Missing (%)15.8%
Memory size436.0 B
2024-03-13T17:06:21.110030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27.5
Mean length25.1875
Min length17

Characters and Unicode

Total characters806
Distinct characters37
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st rowhttp://www.sk-kinder.net
2nd rowhttps://bit.ly/30Td83t
3rd rowhttp://www.jayangkids.com/
4th rowhttp://www.primekid.co.kr
5th rowhttp://www.chayang.es.kr
ValueCountFrequency (%)
http://daewon.kidis.co.kr 1
 
3.1%
http://www.jayangkids.com 1
 
3.1%
http://www.inaepreschool.org 1
 
3.1%
http://www.hyunjungkids.co.kr 1
 
3.1%
http://www.sunhwakids.co.kr 1
 
3.1%
http://ewkids.kidis.co.kr 1
 
3.1%
http://dongsim.kidis.co.kr 1
 
3.1%
http://www.i-joais.co.kr 1
 
3.1%
http://www.sinja.sen.es.kr 1
 
3.1%
http://lovelykjkk.kidsnote.ac 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T17:06:21.449779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 81
 
10.0%
/ 76
 
9.4%
t 70
 
8.7%
w 62
 
7.7%
k 44
 
5.5%
h 43
 
5.3%
s 43
 
5.3%
o 43
 
5.3%
n 36
 
4.5%
p 36
 
4.5%
Other values (27) 272
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 601
74.6%
Other Punctuation 189
 
23.4%
Decimal Number 6
 
0.7%
Other Letter 5
 
0.6%
Dash Punctuation 3
 
0.4%
Uppercase Letter 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70
11.6%
w 62
 
10.3%
k 44
 
7.3%
h 43
 
7.2%
s 43
 
7.2%
o 43
 
7.2%
n 36
 
6.0%
p 36
 
6.0%
i 34
 
5.7%
r 26
 
4.3%
Other values (12) 164
27.3%
Other Letter
ValueCountFrequency (%)
원 1
20.0%
치 1
20.0%
유 1
20.0%
기 1
20.0%
슬 1
20.0%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
3 2
33.3%
8 1
16.7%
9 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 81
42.9%
/ 76
40.2%
: 32
 
16.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 602
74.7%
Common 199
 
24.7%
Hangul 5
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70
11.6%
w 62
 
10.3%
k 44
 
7.3%
h 43
 
7.1%
s 43
 
7.1%
o 43
 
7.1%
n 36
 
6.0%
p 36
 
6.0%
i 34
 
5.6%
r 26
 
4.3%
Other values (13) 165
27.4%
Common
ValueCountFrequency (%)
. 81
40.7%
/ 76
38.2%
: 32
 
16.1%
- 3
 
1.5%
0 2
 
1.0%
3 2
 
1.0%
8 1
 
0.5%
1
 
0.5%
9 1
 
0.5%
Hangul
ValueCountFrequency (%)
원 1
20.0%
치 1
20.0%
유 1
20.0%
기 1
20.0%
슬 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 801
99.4%
Hangul 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 81
 
10.1%
/ 76
 
9.5%
t 70
 
8.7%
w 62
 
7.7%
k 44
 
5.5%
h 43
 
5.4%
s 43
 
5.4%
o 43
 
5.4%
n 36
 
4.5%
p 36
 
4.5%
Other values (22) 267
33.3%
Hangul
ValueCountFrequency (%)
원 1
20.0%
치 1
20.0%
유 1
20.0%
기 1
20.0%
슬 1
20.0%

운영시간
Categorical

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
09시00분~20시00분
7 
07시00분~20시00분
5 
09시00분~19시00분
4 
09시00분~18시00분
3 
07시30분~19시30분
3 
Other values (13)
16 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique11 ?
Unique (%)28.9%

Sample

1st row09시00분~18시00분
2nd row07시00분~19시00분
3rd row09시00분~20시00분
4th row08시00분~19시00분
5th row07시00분~20시00분

Common Values

ValueCountFrequency (%)
09시00분~20시00분 7
18.4%
07시00분~20시00분 5
13.2%
09시00분~19시00분 4
10.5%
09시00분~18시00분 3
 
7.9%
07시30분~19시30분 3
 
7.9%
08시00분~18시30분 3
 
7.9%
07시00분~19시00분 2
 
5.3%
08시30분~18시00분 1
 
2.6%
08시00분~19시00분 1
 
2.6%
08시30분~19시00분 1
 
2.6%
Other values (8) 8
21.1%

Length

2024-03-13T17:06:21.588823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09시00분~20시00분 7
18.4%
07시00분~20시00분 5
13.2%
09시00분~19시00분 4
10.5%
09시00분~18시00분 3
 
7.9%
07시30분~19시30분 3
 
7.9%
08시00분~18시30분 3
 
7.9%
07시00분~19시00분 2
 
5.3%
07시30분~20시00분 1
 
2.6%
09시30분~19시00분 1
 
2.6%
09시00분~17시30분 1
 
2.6%
Other values (8) 8
21.1%

만3세학급수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
21 
<NA>
10 
2
5 
3
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.7894737
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row2
2nd row1
3rd row<NA>
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 21
55.3%
<NA> 10
26.3%
2 5
 
13.2%
3 1
 
2.6%
4 1
 
2.6%

Length

2024-03-13T17:06:21.732162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:21.826360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
55.3%
na 10
26.3%
2 5
 
13.2%
3 1
 
2.6%
4 1
 
2.6%

만4세학급수
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
21 
<NA>
9 
2
7 
4
 
1

Length

Max length4
Median length1
Mean length1.7105263
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row2
2nd row1
3rd row<NA>
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 21
55.3%
<NA> 9
23.7%
2 7
 
18.4%
4 1
 
2.6%

Length

2024-03-13T17:06:21.942803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:22.031735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
55.3%
na 9
23.7%
2 7
 
18.4%
4 1
 
2.6%

만5세학급수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
23 
2
7 
<NA>
6 
4
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.4736842
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
60.5%
2 7
 
18.4%
<NA> 6
 
15.8%
4 1
 
2.6%
3 1
 
2.6%

Length

2024-03-13T17:06:22.139908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:22.240887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
60.5%
2 7
 
18.4%
na 6
 
15.8%
4 1
 
2.6%
3 1
 
2.6%

혼합학급수
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
29 
1
7 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
76.3%
1 7
 
18.4%
2 2
 
5.3%

Length

2024-03-13T17:06:22.350286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:22.452494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
76.3%
1 7
 
18.4%
2 2
 
5.3%

특수학급수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
35 
1
 
3

Length

Max length4
Median length4
Mean length3.7631579
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
92.1%
1 3
 
7.9%

Length

2024-03-13T17:06:22.543175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:22.629611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
92.1%
1 3
 
7.9%

만3세유아수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)67.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean20.714286
Minimum3
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:06:22.704793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.35
Q19
median13.5
Q325
95-th percentile50.85
Maximum91
Range88
Interquartile range (IQR)16

Descriptive statistics

Standard deviation19.727509
Coefficient of variation (CV)0.95236249
Kurtosis4.8947307
Mean20.714286
Median Absolute Deviation (MAD)6.5
Skewness2.0382587
Sum580
Variance389.1746
MonotonicityNot monotonic
2024-03-13T17:06:22.809515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9 4
 
10.5%
14 3
 
7.9%
11 2
 
5.3%
5 2
 
5.3%
7 2
 
5.3%
24 2
 
5.3%
12 1
 
2.6%
3 1
 
2.6%
41 1
 
2.6%
13 1
 
2.6%
Other values (9) 9
23.7%
(Missing) 10
26.3%
ValueCountFrequency (%)
3 1
 
2.6%
4 1
 
2.6%
5 2
5.3%
7 2
5.3%
9 4
10.5%
11 2
5.3%
12 1
 
2.6%
13 1
 
2.6%
14 3
7.9%
15 1
 
2.6%
ValueCountFrequency (%)
91 1
2.6%
54 1
2.6%
45 1
2.6%
44 1
2.6%
41 1
2.6%
39 1
2.6%
28 1
2.6%
24 2
5.3%
19 1
2.6%
15 1
2.6%

만4세유아수
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)69.0%
Missing9
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean24.206897
Minimum4
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:06:22.907654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.4
Q112
median17
Q330
95-th percentile50.8
Maximum97
Range93
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.873492
Coefficient of variation (CV)0.82098469
Kurtosis5.2618719
Mean24.206897
Median Absolute Deviation (MAD)8
Skewness2.0318022
Sum702
Variance394.95567
MonotonicityNot monotonic
2024-03-13T17:06:23.009809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
46 3
 
7.9%
9 3
 
7.9%
13 3
 
7.9%
10 2
 
5.3%
17 2
 
5.3%
12 2
 
5.3%
40 1
 
2.6%
22 1
 
2.6%
20 1
 
2.6%
26 1
 
2.6%
Other values (10) 10
26.3%
(Missing) 9
23.7%
ValueCountFrequency (%)
4 1
 
2.6%
8 1
 
2.6%
9 3
7.9%
10 2
5.3%
12 2
5.3%
13 3
7.9%
14 1
 
2.6%
15 1
 
2.6%
17 2
5.3%
20 1
 
2.6%
ValueCountFrequency (%)
97 1
 
2.6%
54 1
 
2.6%
46 3
7.9%
44 1
 
2.6%
40 1
 
2.6%
30 1
 
2.6%
26 1
 
2.6%
25 1
 
2.6%
22 1
 
2.6%
21 1
 
2.6%

만5세유아수
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)65.6%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean28.4375
Minimum8
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:06:23.105766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile13
Q118.5
median21
Q332.5
95-th percentile63.65
Maximum82
Range74
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.828823
Coefficient of variation (CV)0.62694763
Kurtosis2.0950963
Mean28.4375
Median Absolute Deviation (MAD)6.5
Skewness1.5926268
Sum910
Variance317.86694
MonotonicityNot monotonic
2024-03-13T17:06:23.481640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20 5
13.2%
22 2
 
5.3%
14 2
 
5.3%
15 2
 
5.3%
21 2
 
5.3%
48 2
 
5.3%
13 2
 
5.3%
19 2
 
5.3%
82 1
 
2.6%
26 1
 
2.6%
Other values (11) 11
28.9%
(Missing) 6
15.8%
ValueCountFrequency (%)
8 1
 
2.6%
13 2
 
5.3%
14 2
 
5.3%
15 2
 
5.3%
17 1
 
2.6%
19 2
 
5.3%
20 5
13.2%
21 2
 
5.3%
22 2
 
5.3%
23 1
 
2.6%
ValueCountFrequency (%)
82 1
2.6%
73 1
2.6%
56 1
2.6%
52 1
2.6%
48 2
5.3%
46 1
2.6%
34 1
2.6%
32 1
2.6%
29 1
2.6%
28 1
2.6%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5789474
Minimum0
Maximum74
Zeros29
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T17:06:23.582613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29.8
Maximum74
Range74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.911294
Coefficient of variation (CV)2.4185167
Kurtosis10.329366
Mean6.5789474
Median Absolute Deviation (MAD)0
Skewness3.1226537
Sum250
Variance253.16927
MonotonicityNot monotonic
2024-03-13T17:06:23.670838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 29
76.3%
20 2
 
5.3%
14 1
 
2.6%
19 1
 
2.6%
17 1
 
2.6%
4 1
 
2.6%
74 1
 
2.6%
25 1
 
2.6%
57 1
 
2.6%
ValueCountFrequency (%)
0 29
76.3%
4 1
 
2.6%
14 1
 
2.6%
17 1
 
2.6%
19 1
 
2.6%
20 2
 
5.3%
25 1
 
2.6%
57 1
 
2.6%
74 1
 
2.6%
ValueCountFrequency (%)
74 1
 
2.6%
57 1
 
2.6%
25 1
 
2.6%
20 2
 
5.3%
19 1
 
2.6%
17 1
 
2.6%
14 1
 
2.6%
4 1
 
2.6%
0 29
76.3%

특수유아수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
35 
4
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.7631579
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
92.1%
4 2
 
5.3%
3 1
 
2.6%

Length

2024-03-13T17:06:23.811000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:23.918879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
92.1%
4 2
 
5.3%
3 1
 
2.6%

공시차수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20232
25 
20192
4 
20222
4 
20182
3 
20202
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20232
2nd row20232
3rd row20202
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 25
65.8%
20192 4
 
10.5%
20222 4
 
10.5%
20182 3
 
7.9%
20202 2
 
5.3%

Length

2024-03-13T17:06:24.007419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:06:24.095731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 25
65.8%
20192 4
 
10.5%
20222 4
 
10.5%
20182 3
 
7.9%
20202 2
 
5.3%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청성동광진교육지원청1ecec08c-eee1-b044-e053-0a32095ab044선경유치원사립(법인)성현정성현정1968030819680308서울특별시 광진구 뚝섬로66길 1402-447-0852http://www.sk-kinder.net09시00분~18시00분2220<NA>4444520<NA>20232
1서울특별시교육청성동광진교육지원청1ecec08c-eee2-b044-e053-0a32095ab044성산유치원사립(법인)대한예수교장로회고신총회유지재단조은영1984031019840310서울특별시 광진구 뚝섬로59길 1802-455-0581https://bit.ly/30Td83t07시00분~19시00분1110<NA>1414210<NA>20232
2서울특별시교육청성동광진교육지원청1ecec08c-eee3-b044-e053-0a32095ab044자양유치원사립(사인)이윤예이연정1983031419830314서울특별시 광진구 자양로5길 3602-446-4345http://www.jayangkids.com/09시00분~20시00분<NA><NA>11<NA><NA><NA>1914<NA>20202
3서울특별시교육청성동광진교육지원청1ecec08c-eee4-b044-e053-0a32095ab044프라임유치원사립(사인)최을재정유진1997030519970305서울특별시 광진구 광나루로56길 502-453-0671http://www.primekid.co.kr08시00분~19시00분3220<NA>5446460<NA>20232
4서울특별시교육청성동광진교육지원청1ecec08c-f0da-b044-e053-0a32095ab044서울자양초등학교병설유치원공립(병설)양금주양금주1987030219870302서울특별시 광진구 아차산로44길 2602-455-8051http://www.chayang.es.kr07시00분~20시00분1120<NA>149320<NA>20232
5서울특별시교육청성동광진교육지원청1ecec08c-f1c6-b044-e053-0a32095ab044광남유치원사립(사인)목원균조미선1991020919910209서울특별시 광진구 아차산로70길 4002-455-6774http://kwangnam.kidswon.com08시00분~18시30분2220<NA>3946560<NA>20232
6서울특별시교육청성동광진교육지원청1ecec08c-f331-b044-e053-0a32095ab044어린이회관유치원사립(법인)조수연장은희1982030519820305서울특별시 광진구 광나루로 44102-2204-6001https://www.yookyoung.kr/08시30분~19시00분4440<NA>9197820<NA>20232
7서울특별시교육청성동광진교육지원청1ecec08c-f332-b044-e053-0a32095ab044영화유치원사립(사인)성일원김영희1985072619850726서울특별시 광진구 영화사로 10502-453-5149http://www.younghwau.com/08시00분~19시30분<NA>210<NA><NA>25200<NA>20232
8서울특별시교육청성동광진교육지원청1ecec08c-f504-b044-e053-0a32095ab044동인유치원사립(사인)이기영조영옥1992022719920227서울특별시 광진구 자양로30길 602-457-0774http://www.dongwon.org09시00분~19시00분<NA><NA><NA>1<NA><NA><NA><NA>19<NA>20182
9서울특별시교육청성동광진교육지원청1ecec08c-f562-b044-e053-0a32095ab044예일유치원사립(사인)방영숙방영숙2002122720030301서울특별시 광진구 천호대로111길 4102-452-5544http://www.yeilkid.co.kr09시00분~20시00분<NA><NA>21<NA><NA><NA>4820<NA>20192
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
28서울특별시교육청성동광진교육지원청1ecec08d-0754-b044-e053-0a32095ab044경하유치원사립(사인)이명희이명희1983030219830302서울특별시 광진구 동일로72길 902-466-2880<NA>09시00분~20시00분<NA><NA><NA>1<NA><NA><NA><NA>25<NA>20182
29서울특별시교육청성동광진교육지원청1ecec08d-0840-b044-e053-0a32095ab044한일유치원사립(사인)장봉석장봉석1990090119900901서울특별시 광진구 뚝섬로35길 16-2002-454-0002http://hanil90.co.kr09시00분~17시30분1110<NA>2426280<NA>20232
30서울특별시교육청성동광진교육지원청1ecec08d-0adc-b044-e053-0a32095ab044미파유치원사립(사인)윤기옥윤기옥1982121019821210서울특별시 광진구 용마산로 18502-434-3625<NA>09시00분~20시00분<NA><NA><NA>2<NA><NA><NA><NA>57<NA>20192
31서울특별시교육청성동광진교육지원청1ecec08d-0add-b044-e053-0a32095ab044서울구의초등학교병설유치원공립(병설)최은자최은자1997030219970302서울특별시 광진구 광나루로30길 4902-453-2123https://guui.sen.es.kr/07시00분~19시00분111011520220420232
32서울특별시교육청성동광진교육지원청1ecec08d-0ba1-b044-e053-0a32095ab044서울양진초등학교병설유치원공립(병설)김재석김재석2005030120050301서울특별시 광진구 워커힐로 3202-454-9138https://yjs.sen.es.kr/07시30분~19시30분1110<NA>1322230<NA>20232
33서울특별시교육청성동광진교육지원청1ecec08d-0e4a-b044-e053-0a32095ab044선양유치원사립(사인)서미연서미연1986022619860226서울특별시 광진구 동일로 256-102-466-6193<NA>08시00분~20시00분2230<NA>4146730<NA>20232
34서울특별시교육청성동광진교육지원청1ecec08d-0f37-b044-e053-0a32095ab044샬롬유치원사립(법인)박인경박인경1991022819910228서울특별시 광진구 아차산로65길 6502-456-7770http://www.shalomkids.co.kr09시00분~19시00분1110<NA>310210<NA>20222
35서울특별시교육청성동광진교육지원청74e1e803-e7d0-4cb0-a8d9-087fb5e7f80f서울중광초등학교병설유치원공립(병설)배숙희배숙희2016122920170301서울특별시 광진구 긴고랑로13길 5902-466-9691http://www.jkschool.net07시30분~19시30분111011217200320232
36서울특별시교육청성동광진교육지원청ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952서울용곡초등학교병설유치원공립(병설)류형숙류형숙2021030120210301서울특별시 광진구 용마산로22길 8202-6956-7233http://yonggok.sen.es.kr07시30분~19시30분1110<NA>79140<NA>20232
37서울특별시교육청성동광진교육지원청db6bc219-29b5-48d3-af79-797756d3a7a6서울신양초등학교병설유치원공립(병설)박효선박효선2021030120210301서울특별시 광진구 능동로 4202-447-2582http://sinyang.sen.es.kr/07시00분~20시00분1110<NA>1113220<NA>20232