Overview

Dataset statistics

Number of variables24
Number of observations38
Missing cells28
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory208.5 B

Variable types

Categorical9
Text8
Numeric7

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-20598/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
특수학급수 is highly imbalanced (51.5%)Imbalance
특수유아수 is highly imbalanced (67.8%)Imbalance
대표자명 has 1 (2.6%) missing valuesMissing
원장명 has 1 (2.6%) missing valuesMissing
홈페이지 has 8 (21.1%) missing valuesMissing
만3세유아수 has 9 (23.7%) missing valuesMissing
만4세유아수 has 6 (15.8%) missing valuesMissing
만5세유아수 has 3 (7.9%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
만3세유아수 has 1 (2.6%) zerosZeros
만4세유아수 has 1 (2.6%) zerosZeros
만5세유아수 has 1 (2.6%) zerosZeros
혼합유아수 has 32 (84.2%) zerosZeros

Reproduction

Analysis started2024-03-13 06:58:18.791281
Analysis finished2024-03-13 06:58:19.126132
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

2024-03-13T15:58:19.174773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:19.252502image/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
동작관악교육지원청
38 

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 38
100.0%

Length

2024-03-13T15:58:19.364613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:19.452537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:58:19.654994image/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-efbf-b044-e053-0a32095ab044
2nd row1ecec08c-efc2-b044-e053-0a32095ab044
3rd row1ecec08c-f1a0-b044-e053-0a32095ab044
4th row1ecec08c-f1ad-b044-e053-0a32095ab044
5th row1ecec08c-f3eb-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-efbf-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6c-b044-e053-0a32095ab044 1
 
2.6%
8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73 1
 
2.6%
1ecec08d-0562-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-06c3-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09b9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ba-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09bb-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d67-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T15:58:19.989447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 751
54.9%
Lowercase Letter 465
34.0%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.9%
4 141
18.8%
3 81
 
10.8%
5 76
 
10.1%
1 55
 
7.3%
8 52
 
6.9%
9 51
 
6.8%
2 46
 
6.1%
6 24
 
3.2%
7 8
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
66.0%
Latin 465
34.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
24.0%
- 152
16.8%
4 141
15.6%
3 81
 
9.0%
5 76
 
8.4%
1 55
 
6.1%
8 52
 
5.8%
9 51
 
5.6%
2 46
 
5.1%
6 24
 
2.7%
Latin
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:58:20.196797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2631579
Min length5

Characters and Unicode

Total characters276
Distinct characters69
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 row서울은로초등학교병설유치원
2nd row예림유치원
3rd row서울상도유치원
4th row총신대부속유치원
5th row동그라미유치원
ValueCountFrequency (%)
서울은로초등학교병설유치원 1
 
2.6%
서울강남초등학교병설유치원 1
 
2.6%
서울은로유치원 1
 
2.6%
노량진교회유치원 1
 
2.6%
하랑숲유치원 1
 
2.6%
상아유치원 1
 
2.6%
소망유치원 1
 
2.6%
승혜유치원 1
 
2.6%
요요유치원 1
 
2.6%
명수유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T15:58:20.508997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
19 
사립(법인)
9 
공립(병설)
8 
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 row공립(단설)
4th row사립(법인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 19
50.0%
사립(법인) 9
23.7%
공립(병설) 8
21.1%
공립(단설) 2
 
5.3%

Length

2024-03-13T15:58:20.630178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:20.753247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 19
50.0%
사립(법인 9
23.7%
공립(병설 8
21.1%
공립(단설 2
 
5.3%

대표자명
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing1
Missing (%)2.6%
Memory size436.0 B
2024-03-13T15:58:20.924517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length3.4864865
Min length2

Characters and Unicode

Total characters129
Distinct characters68
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

Unique37 ?
Unique (%)100.0%

Sample

1st row최미연
2nd row송숙현
3rd row한희순
4th row정대현
5th row진순옥
ValueCountFrequency (%)
최미연 1
 
2.6%
유지재단 1
 
2.6%
이은선 1
 
2.6%
이영옥 1
 
2.6%
김서년 1
 
2.6%
정진수 1
 
2.6%
유유상 1
 
2.6%
이화 1
 
2.6%
재)천주교서울대교구 1
 
2.6%
명수유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-13T15:58:21.228286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 6
 
4.7%
이 6
 
4.7%
영 5
 
3.9%
순 4
 
3.1%
유 4
 
3.1%
김 4
 
3.1%
옥 4
 
3.1%
현 4
 
3.1%
대 3
 
2.3%
지 3
 
2.3%
Other values (58) 86
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
96.9%
Space Separator 2
 
1.6%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6
 
4.8%
이 6
 
4.8%
영 5
 
4.0%
순 4
 
3.2%
유 4
 
3.2%
김 4
 
3.2%
옥 4
 
3.2%
현 4
 
3.2%
대 3
 
2.4%
지 3
 
2.4%
Other values (55) 82
65.6%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
96.9%
Common 4
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6
 
4.8%
이 6
 
4.8%
영 5
 
4.0%
순 4
 
3.2%
유 4
 
3.2%
김 4
 
3.2%
옥 4
 
3.2%
현 4
 
3.2%
대 3
 
2.4%
지 3
 
2.4%
Other values (55) 82
65.6%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
96.9%
ASCII 4
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 6
 
4.8%
이 6
 
4.8%
영 5
 
4.0%
순 4
 
3.2%
유 4
 
3.2%
김 4
 
3.2%
옥 4
 
3.2%
현 4
 
3.2%
대 3
 
2.4%
지 3
 
2.4%
Other values (55) 82
65.6%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

원장명
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing1
Missing (%)2.6%
Memory size436.0 B
2024-03-13T15:58:21.410010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.972973
Min length2

Characters and Unicode

Total characters110
Distinct characters53
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

Unique37 ?
Unique (%)100.0%

Sample

1st row최미연
2nd row송숙현
3rd row한희순
4th row방미정
5th row전미진
ValueCountFrequency (%)
최미연 1
 
2.7%
이성미 1
 
2.7%
노윤경 1
 
2.7%
이은선 1
 
2.7%
윤정중 1
 
2.7%
권민정 1
 
2.7%
김숙자 1
 
2.7%
유유상 1
 
2.7%
이화 1
 
2.7%
안영숙 1
 
2.7%
Other values (27) 27
73.0%
2024-03-13T15:58:21.695663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 11
 
10.0%
숙 8
 
7.3%
이 7
 
6.4%
미 6
 
5.5%
윤 4
 
3.6%
은 4
 
3.6%
영 4
 
3.6%
희 3
 
2.7%
최 3
 
2.7%
자 3
 
2.7%
Other values (43) 57
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 11
 
10.0%
숙 8
 
7.3%
이 7
 
6.4%
미 6
 
5.5%
윤 4
 
3.6%
은 4
 
3.6%
영 4
 
3.6%
희 3
 
2.7%
최 3
 
2.7%
자 3
 
2.7%
Other values (43) 57
51.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 11
 
10.0%
숙 8
 
7.3%
이 7
 
6.4%
미 6
 
5.5%
윤 4
 
3.6%
은 4
 
3.6%
영 4
 
3.6%
희 3
 
2.7%
최 3
 
2.7%
자 3
 
2.7%
Other values (43) 57
51.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 11
 
10.0%
숙 8
 
7.3%
이 7
 
6.4%
미 6
 
5.5%
윤 4
 
3.6%
은 4
 
3.6%
영 4
 
3.6%
희 3
 
2.7%
최 3
 
2.7%
자 3
 
2.7%
Other values (43) 57
51.8%

설립일
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19936649
Minimum19160920
Maximum20230112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:21.869659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19160920
5-th percentile19586595
Q119830220
median19941214
Q320130978
95-th percentile20172333
Maximum20230112
Range1069192
Interquartile range (IQR)300758.5

Descriptive statistics

Standard deviation216811.51
Coefficient of variation (CV)0.010875022
Kurtosis3.0453744
Mean19936649
Median Absolute Deviation (MAD)145404.5
Skewness-1.3177394
Sum7.5759268 × 108
Variance4.7007229 × 1010
MonotonicityNot monotonic
2024-03-13T15:58:21.985973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
19941214 2
 
5.3%
19850114 1
 
2.6%
19780214 1
 
2.6%
19830115 1
 
2.6%
19970210 1
 
2.6%
19770115 1
 
2.6%
19920304 1
 
2.6%
20131223 1
 
2.6%
19160920 1
 
2.6%
19661116 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
19160920 1
2.6%
19560410 1
2.6%
19591216 1
2.6%
19661116 1
2.6%
19710330 1
2.6%
19770115 1
2.6%
19780214 1
2.6%
19830115 1
2.6%
19830214 1
2.6%
19830217 1
2.6%
ValueCountFrequency (%)
20230112 1
2.6%
20180301 1
2.6%
20170927 1
2.6%
20170921 1
2.6%
20170223 1
2.6%
20150508 1
2.6%
20141010 1
2.6%
20140314 1
2.6%
20131223 1
2.6%
20131204 1
2.6%

개원일
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19950752
Minimum19160920
Maximum20230301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:22.108432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19160920
5-th percentile19646010
Q119835246
median19945764
Q320137801
95-th percentile20180302
Maximum20230301
Range1069381
Interquartile range (IQR)302554.75

Descriptive statistics

Standard deviation211386.2
Coefficient of variation (CV)0.0105954
Kurtosis3.9381557
Mean19950752
Median Absolute Deviation (MAD)129536.5
Skewness-1.479669
Sum7.5812859 × 108
Variance4.4684124 × 1010
MonotonicityNot monotonic
2024-03-13T15:58:22.222570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20180301 2
 
5.3%
19941214 2
 
5.3%
19850301 1
 
2.6%
19160920 1
 
2.6%
20051130 1
 
2.6%
19830115 1
 
2.6%
19970210 1
 
2.6%
19770115 1
 
2.6%
19920304 1
 
2.6%
20140301 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
19160920 1
2.6%
19560410 1
2.6%
19661116 1
2.6%
19710330 1
2.6%
19770115 1
2.6%
19780301 1
2.6%
19830115 1
2.6%
19830214 1
2.6%
19830217 1
2.6%
19830228 1
2.6%
ValueCountFrequency (%)
20230301 1
2.6%
20180307 1
2.6%
20180301 2
5.3%
20170302 1
2.6%
20150901 1
2.6%
20150301 1
2.6%
20140626 1
2.6%
20140305 1
2.6%
20140301 1
2.6%
20130301 1
2.6%

주소
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:58:22.412428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21.5
Mean length18.789474
Min length16

Characters and Unicode

Total characters714
Distinct characters57
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

Unique34 ?
Unique (%)89.5%

Sample

1st row서울특별시 동작구 서달로 115
2nd row서울특별시 동작구 현충로 151
3rd row서울특별시 동작구 만양로3길 48
4th row서울특별시 동작구 사당로 143
5th row서울특별시 동작구 사당로28길 34
ValueCountFrequency (%)
서울특별시 38
25.0%
동작구 38
25.0%
15 3
 
2.0%
서달로 2
 
1.3%
115 2
 
1.3%
만양로3길 2
 
1.3%
48 2
 
1.3%
현충로 2
 
1.3%
사당로 2
 
1.3%
여의대방로 2
 
1.3%
Other values (58) 59
38.8%
2024-03-13T15:58:22.727705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.0%
서 40
 
5.6%
동 40
 
5.6%
작 40
 
5.6%
시 39
 
5.5%
울 38
 
5.3%
구 38
 
5.3%
별 38
 
5.3%
특 38
 
5.3%
로 36
 
5.0%
Other values (47) 253
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
65.3%
Decimal Number 128
 
17.9%
Space Separator 114
 
16.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Decimal Number
ValueCountFrequency (%)
1 25
19.5%
4 21
16.4%
2 18
14.1%
5 14
10.9%
6 13
10.2%
3 13
10.2%
7 7
 
5.5%
0 7
 
5.5%
8 5
 
3.9%
9 5
 
3.9%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 466
65.3%
Common 248
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Common
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
65.3%
ASCII 248
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%
Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%

전화번호
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:58:22.942345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.078947
Min length8

Characters and Unicode

Total characters421
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row02-826-5787
2nd row02-817-1455
3rd row02-827-0037
4th row02-3479-0550
5th row02-587-5599
ValueCountFrequency (%)
02-826-5787 2
 
5.3%
02-587-6131 1
 
2.6%
02-817-3875 1
 
2.6%
02-2038-6606 1
 
2.6%
02-822-6901 1
 
2.6%
02-823-8871 1
 
2.6%
02-822-9430 1
 
2.6%
02-836-6710 1
 
2.6%
02-824-0503 1
 
2.6%
02-815-0146 1
 
2.6%
Other values (27) 27
71.1%
2024-03-13T15:58:23.240566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 75
17.8%
2 70
16.6%
0 55
13.1%
8 47
11.2%
1 31
7.4%
5 30
 
7.1%
3 28
 
6.7%
7 25
 
5.9%
6 24
 
5.7%
4 19
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 346
82.2%
Dash Punctuation 75
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 70
20.2%
0 55
15.9%
8 47
13.6%
1 31
9.0%
5 30
8.7%
3 28
 
8.1%
7 25
 
7.2%
6 24
 
6.9%
4 19
 
5.5%
9 17
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 421
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 75
17.8%
2 70
16.6%
0 55
13.1%
8 47
11.2%
1 31
7.4%
5 30
 
7.1%
3 28
 
6.7%
7 25
 
5.9%
6 24
 
5.7%
4 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 75
17.8%
2 70
16.6%
0 55
13.1%
8 47
11.2%
1 31
7.4%
5 30
 
7.1%
3 28
 
6.7%
7 25
 
5.9%
6 24
 
5.7%
4 19
 
4.5%

홈페이지
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing8
Missing (%)21.1%
Memory size436.0 B
2024-03-13T15:58:23.443963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length26
Min length17

Characters and Unicode

Total characters780
Distinct characters49
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttp://eunlo.sen.es.kr/index.do
2nd rowhttp://www.enterkids.com/yerim/
3rd rowhttp://www.서울상도유치원.kr
4th rowhttp://www.csuk.kr/
5th rowhttp://www.donggrami.com
ValueCountFrequency (%)
http://shinnamsung.sen.es.kr 1
 
3.3%
http://www.서울상도유치원.kr 1
 
3.3%
http://nrj-kids.net 1
 
3.3%
http://서울은로유치원.kr 1
 
3.3%
http://www.hrim.es.kr/index.do 1
 
3.3%
https://cafe.naver.com/sihyun2017 1
 
3.3%
https://blog.naver.com/forest6148 1
 
3.3%
http://songrim.kg.kr 1
 
3.3%
http://www.mungsu.kg.kr 1
 
3.3%
https://cau-kindergarten.or.kr 1
 
3.3%
Other values (20) 20
66.7%
2024-03-13T15:58:23.774112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 73
 
9.4%
t 70
 
9.0%
. 70
 
9.0%
w 42
 
5.4%
h 37
 
4.7%
n 37
 
4.7%
e 37
 
4.7%
k 35
 
4.5%
r 35
 
4.5%
p 34
 
4.4%
Other values (39) 310
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 569
72.9%
Other Punctuation 174
 
22.3%
Decimal Number 18
 
2.3%
Other Letter 14
 
1.8%
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
 
12.3%
w 42
 
7.4%
h 37
 
6.5%
n 37
 
6.5%
e 37
 
6.5%
k 35
 
6.2%
r 35
 
6.2%
p 34
 
6.0%
s 34
 
6.0%
o 33
 
5.8%
Other values (14) 175
30.8%
Decimal Number
ValueCountFrequency (%)
1 4
22.2%
7 3
16.7%
0 3
16.7%
3 2
11.1%
4 2
11.1%
9 1
 
5.6%
6 1
 
5.6%
8 1
 
5.6%
2 1
 
5.6%
Other Letter
ValueCountFrequency (%)
서 2
14.3%
울 2
14.3%
원 2
14.3%
치 2
14.3%
유 2
14.3%
도 1
7.1%
상 1
7.1%
은 1
7.1%
로 1
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 73
42.0%
. 70
40.2%
: 30
17.2%
, 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 570
73.1%
Common 196
 
25.1%
Hangul 14
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70
 
12.3%
w 42
 
7.4%
h 37
 
6.5%
n 37
 
6.5%
e 37
 
6.5%
k 35
 
6.1%
r 35
 
6.1%
p 34
 
6.0%
s 34
 
6.0%
o 33
 
5.8%
Other values (15) 176
30.9%
Common
ValueCountFrequency (%)
/ 73
37.2%
. 70
35.7%
: 30
15.3%
1 4
 
2.0%
- 3
 
1.5%
7 3
 
1.5%
0 3
 
1.5%
3 2
 
1.0%
4 2
 
1.0%
, 1
 
0.5%
Other values (5) 5
 
2.6%
Hangul
ValueCountFrequency (%)
서 2
14.3%
울 2
14.3%
원 2
14.3%
치 2
14.3%
유 2
14.3%
도 1
7.1%
상 1
7.1%
은 1
7.1%
로 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 766
98.2%
Hangul 14
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 73
 
9.5%
t 70
 
9.1%
. 70
 
9.1%
w 42
 
5.5%
h 37
 
4.8%
n 37
 
4.8%
e 37
 
4.8%
k 35
 
4.6%
r 35
 
4.6%
p 34
 
4.4%
Other values (30) 296
38.6%
Hangul
ValueCountFrequency (%)
서 2
14.3%
울 2
14.3%
원 2
14.3%
치 2
14.3%
유 2
14.3%
도 1
7.1%
상 1
7.1%
은 1
7.1%
로 1
7.1%

운영시간
Text

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:58:23.946516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters494
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)36.8%

Sample

1st row09시00분~19시00분
2nd row07시00분~19시00분
3rd row07시00분~20시00분
4th row08시00분~18시00분
5th row08시00분~19시00분
ValueCountFrequency (%)
08시00분~19시00분 5
13.2%
07시00분~19시00분 5
13.2%
07시00분~20시00분 4
 
10.5%
09시00분~18시00분 3
 
7.9%
07시30분~19시30분 3
 
7.9%
08시30분~17시30분 2
 
5.3%
09시00분~17시00분 2
 
5.3%
08시40분~18시00분 1
 
2.6%
09시00분~19시00분 1
 
2.6%
08시00분~18시30분 1
 
2.6%
Other values (11) 11
28.9%
2024-03-13T15:58:24.269318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
35.4%
시 76
15.4%
분 76
15.4%
~ 38
 
7.7%
1 32
 
6.5%
9 28
 
5.7%
8 22
 
4.5%
7 20
 
4.0%
3 19
 
3.8%
2 7
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
61.5%
Other Letter 152
30.8%
Math Symbol 38
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
57.6%
1 32
 
10.5%
9 28
 
9.2%
8 22
 
7.2%
7 20
 
6.6%
3 19
 
6.2%
2 7
 
2.3%
4 1
 
0.3%
Other Letter
ValueCountFrequency (%)
시 76
50.0%
분 76
50.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 342
69.2%
Hangul 152
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
51.2%
~ 38
 
11.1%
1 32
 
9.4%
9 28
 
8.2%
8 22
 
6.4%
7 20
 
5.8%
3 19
 
5.6%
2 7
 
2.0%
4 1
 
0.3%
Hangul
ValueCountFrequency (%)
시 76
50.0%
분 76
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 342
69.2%
Hangul 152
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
51.2%
~ 38
 
11.1%
1 32
 
9.4%
9 28
 
8.2%
8 22
 
6.4%
7 20
 
5.8%
3 19
 
5.6%
2 7
 
2.0%
4 1
 
0.3%
Hangul
ValueCountFrequency (%)
시 76
50.0%
분 76
50.0%

만3세학급수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
13 
2
11 
<NA>
9 
3
4 
4
 
1

Length

Max length4
Median length1
Mean length1.7105263
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
34.2%
2 11
28.9%
<NA> 9
23.7%
3 4
 
10.5%
4 1
 
2.6%

Length

2024-03-13T15:58:24.612919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:24.700594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
34.2%
2 11
28.9%
na 9
23.7%
3 4
 
10.5%
4 1
 
2.6%

만4세학급수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
15 
2
14 
<NA>
6 
3
2 
4
 
1

Length

Max length4
Median length1
Mean length1.4736842
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row1
2nd row<NA>
3rd row2
4th row2
5th row4

Common Values

ValueCountFrequency (%)
1 15
39.5%
2 14
36.8%
<NA> 6
 
15.8%
3 2
 
5.3%
4 1
 
2.6%

Length

2024-03-13T15:58:24.804567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:24.911469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
39.5%
2 14
36.8%
na 6
 
15.8%
3 2
 
5.3%
4 1
 
2.6%

만5세학급수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
16 
2
14 
3
4 
<NA>
3 
4
 
1

Length

Max length4
Median length1
Mean length1.2368421
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
1 16
42.1%
2 14
36.8%
3 4
 
10.5%
<NA> 3
 
7.9%
4 1
 
2.6%

Length

2024-03-13T15:58:25.027143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:25.123153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
42.1%
2 14
36.8%
3 4
 
10.5%
na 3
 
7.9%
4 1
 
2.6%

혼합학급수
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
32 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
84.2%
1 6
 
15.8%

Length

2024-03-13T15:58:25.221353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:25.302064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
84.2%
1 6
 
15.8%

특수학급수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
34 
1
4 

Length

Max length4
Median length4
Mean length3.6842105
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
89.5%
1 4
 
10.5%

Length

2024-03-13T15:58:25.393312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:25.479234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
89.5%
1 4
 
10.5%

만3세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)82.8%
Missing9
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean27.172414
Minimum0
Maximum68
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:25.569792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median24
Q339
95-th percentile57
Maximum68
Range68
Interquartile range (IQR)26

Descriptive statistics

Standard deviation17.040014
Coefficient of variation (CV)0.62710711
Kurtosis-0.20602966
Mean27.172414
Median Absolute Deviation (MAD)13
Skewness0.57262905
Sum788
Variance290.36207
MonotonicityNot monotonic
2024-03-13T15:58:25.667665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
44 2
 
5.3%
20 2
 
5.3%
24 2
 
5.3%
13 2
 
5.3%
22 2
 
5.3%
0 1
 
2.6%
35 1
 
2.6%
3 1
 
2.6%
42 1
 
2.6%
40 1
 
2.6%
Other values (14) 14
36.8%
(Missing) 9
23.7%
ValueCountFrequency (%)
0 1
2.6%
3 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
12 1
2.6%
13 2
5.3%
16 1
2.6%
17 1
2.6%
20 2
5.3%
ValueCountFrequency (%)
68 1
2.6%
59 1
2.6%
54 1
2.6%
44 2
5.3%
42 1
2.6%
40 1
2.6%
39 1
2.6%
38 1
2.6%
37 1
2.6%
35 1
2.6%

만4세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)78.1%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean32.34375
Minimum0
Maximum80
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:25.770306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.55
Q120.75
median27
Q347.25
95-th percentile65.8
Maximum80
Range80
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation18.711062
Coefficient of variation (CV)0.57850626
Kurtosis0.13523211
Mean32.34375
Median Absolute Deviation (MAD)12.5
Skewness0.59047968
Sum1035
Variance350.10383
MonotonicityNot monotonic
2024-03-13T15:58:25.870567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
26 3
 
7.9%
48 3
 
7.9%
25 2
 
5.3%
10 2
 
5.3%
32 2
 
5.3%
38 1
 
2.6%
41 1
 
2.6%
42 1
 
2.6%
28 1
 
2.6%
17 1
 
2.6%
Other values (15) 15
39.5%
(Missing) 6
 
15.8%
ValueCountFrequency (%)
0 1
2.6%
7 1
2.6%
8 1
2.6%
10 2
5.3%
16 1
2.6%
17 1
2.6%
20 1
2.6%
21 1
2.6%
22 1
2.6%
24 1
2.6%
ValueCountFrequency (%)
80 1
 
2.6%
68 1
 
2.6%
64 1
 
2.6%
52 1
 
2.6%
49 1
 
2.6%
48 3
7.9%
47 1
 
2.6%
42 1
 
2.6%
41 1
 
2.6%
38 1
 
2.6%

만5세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)80.0%
Missing3
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean34.914286
Minimum0
Maximum89
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:25.974362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.1
Q116
median32
Q346.5
95-th percentile82.4
Maximum89
Range89
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation23.360816
Coefficient of variation (CV)0.66909048
Kurtosis0.0645836
Mean34.914286
Median Absolute Deviation (MAD)16
Skewness0.76657605
Sum1222
Variance545.72773
MonotonicityNot monotonic
2024-03-13T15:58:26.066307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
16 2
 
5.3%
13 2
 
5.3%
25 2
 
5.3%
32 2
 
5.3%
12 2
 
5.3%
8 2
 
5.3%
46 2
 
5.3%
5 1
 
2.6%
60 1
 
2.6%
44 1
 
2.6%
Other values (18) 18
47.4%
(Missing) 3
 
7.9%
ValueCountFrequency (%)
0 1
2.6%
5 1
2.6%
8 2
5.3%
12 2
5.3%
13 2
5.3%
16 2
5.3%
17 1
2.6%
21 1
2.6%
22 1
2.6%
25 2
5.3%
ValueCountFrequency (%)
89 1
2.6%
88 1
2.6%
80 1
2.6%
74 1
2.6%
60 1
2.6%
53 1
2.6%
50 1
2.6%
48 1
2.6%
47 1
2.6%
46 2
5.3%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6052632
Minimum0
Maximum17
Zeros32
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:26.170871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.45
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2524363
Coefficient of variation (CV)2.6490587
Kurtosis6.6849461
Mean1.6052632
Median Absolute Deviation (MAD)0
Skewness2.7422582
Sum61
Variance18.083215
MonotonicityNot monotonic
2024-03-13T15:58:26.286332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 32
84.2%
3 1
 
2.6%
17 1
 
2.6%
12 1
 
2.6%
15 1
 
2.6%
6 1
 
2.6%
8 1
 
2.6%
ValueCountFrequency (%)
0 32
84.2%
3 1
 
2.6%
6 1
 
2.6%
8 1
 
2.6%
12 1
 
2.6%
15 1
 
2.6%
17 1
 
2.6%
ValueCountFrequency (%)
17 1
 
2.6%
15 1
 
2.6%
12 1
 
2.6%
8 1
 
2.6%
6 1
 
2.6%
3 1
 
2.6%
0 32
84.2%

특수유아수
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
34 
4
 
2
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.6842105
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row4
2nd row<NA>
3rd row3
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
89.5%
4 2
 
5.3%
3 1
 
2.6%
6 1
 
2.6%

Length

2024-03-13T15:58:26.416152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:58:26.520742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
89.5%
4 2
 
5.3%
3 1
 
2.6%
6 1
 
2.6%

공시차수
Real number (ℝ)

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.211
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:58:26.615086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120222
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.910189
Coefficient of variation (CV)0.0008362186
Kurtosis0.77577925
Mean20222.211
Median Absolute Deviation (MAD)0
Skewness-1.5032852
Sum768444
Variance285.95448
MonotonicityNot monotonic
2024-03-13T15:58:26.706583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20202 3
 
7.9%
20182 3
 
7.9%
20211 1
 
2.6%
20191 1
 
2.6%
20192 1
 
2.6%
ValueCountFrequency (%)
20182 3
 
7.9%
20191 1
 
2.6%
20192 1
 
2.6%
20202 3
 
7.9%
20211 1
 
2.6%
20222 3
 
7.9%
20232 26
68.4%
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20211 1
 
2.6%
20202 3
 
7.9%
20192 1
 
2.6%
20191 1
 
2.6%
20182 3
 
7.9%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청동작관악교육지원청1ecec08c-efbf-b044-e053-0a32095ab044서울은로초등학교병설유치원공립(병설)최미연최미연1985011419850301서울특별시 동작구 서달로 11502-826-5787http://eunlo.sen.es.kr/index.do09시00분~19시00분112011321460420222
1서울특별시교육청동작관악교육지원청1ecec08c-efc2-b044-e053-0a32095ab044예림유치원사립(사인)송숙현송숙현1989060719890607서울특별시 동작구 현충로 15102-817-1455http://www.enterkids.com/yerim/07시00분~19시00분<NA><NA>11<NA><NA><NA>83<NA>20222
2서울특별시교육청동작관악교육지원청1ecec08c-f1a0-b044-e053-0a32095ab044서울상도유치원공립(단설)한희순한희순2014031420140626서울특별시 동작구 만양로3길 4802-827-0037http://www.서울상도유치원.kr07시00분~20시00분222012432350320232
3서울특별시교육청동작관악교육지원청1ecec08c-f1ad-b044-e053-0a32095ab044총신대부속유치원사립(법인)정대현방미정1985031619850316서울특별시 동작구 사당로 14302-3479-0550http://www.csuk.kr/08시00분~18시00분2220<NA>3752480<NA>20232
4서울특별시교육청동작관악교육지원청1ecec08c-f3eb-b044-e053-0a32095ab044동그라미유치원사립(사인)진순옥전미진1994121419941214서울특별시 동작구 사당로28길 3402-587-5599http://www.donggrami.com08시00분~19시00분3430<NA>6880800<NA>20232
5서울특별시교육청동작관악교육지원청1ecec08c-f3fb-b044-e053-0a32095ab044은혜유치원사립(사인)<NA><NA>1983022819830228서울특별시 동작구 성대로6가길 2902-822-3450http://grace.kidis.co.kr08시00분~19시00분1110<NA>0000<NA>20211
6서울특별시교육청동작관악교육지원청1ecec08c-f56c-b044-e053-0a32095ab044서울문창초등학교병설유치원공립(병설)피창헌피창헌2012030120120301서울특별시 동작구 신대방2길 1402-836-9535<NA>08시00분~17시00분111011316370620232
7서울특별시교육청동작관악교육지원청1ecec08c-f6f1-b044-e053-0a32095ab044행복유치원사립(법인)김인수이다겸2007102320080301서울특별시 동작구 양녕로23길 2502-3280-1188http://www.sokahappy.co.kr08시30분~17시30분3220<NA>5447500<NA>20232
8서울특별시교육청동작관악교육지원청1ecec08c-f8ac-b044-e053-0a32095ab044양문유치원사립(사인)이영신정유리1983021719830217서울특별시 동작구 시흥대로 644-102-834-6864<NA>08시00분~19시00분<NA>110<NA><NA>850<NA>20232
9서울특별시교육청동작관악교육지원청1ecec08c-f940-b044-e053-0a32095ab044샛별유치원사립(법인)한지영최혜선2013120420140305서울특별시 동작구 상도로50길 36-102-3280-8993http://cafe.daum.net/Stellar100409시00분~17시00분3230<NA>4449740<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
28서울특별시교육청동작관악교육지원청1ecec08d-0bb2-b044-e053-0a32095ab044중앙대부속유치원사립(법인)이현순조형숙1916092019160920서울특별시 동작구 흑석로 4702-815-0146https://cau-kindergarten.or.kr09시00분~17시00분2220<NA>4048530<NA>20232
29서울특별시교육청동작관악교육지원청1ecec08d-0d67-b044-e053-0a32095ab044명수유치원사립(법인)(재)천주교서울대교구 유지재단 명수유치원안영숙1966111619661116서울특별시 동작구 흑석로13길 302-816-2964http://www.mungsu.kg.kr09시00분~18시00분1120<NA>2228430<NA>20232
30서울특별시교육청동작관악교육지원청1ecec08d-0e1f-b044-e053-0a32095ab044송림유치원사립(법인)원부순이정임1978021419780301서울특별시 동작구 사당로2다길 9502-523-7718http://songrim.kg.kr/07시00분~19시00분<NA>210<NA><NA>42210<NA>20232
31서울특별시교육청동작관악교육지원청1fc6dd86-cccc-d1d2-e053-0a32095ad1d2행복한숲유치원사립(사인)장경자정은숙2015050820150901서울특별시 동작구 만양로 2602-813-6148https://blog.naver.com/forest614808시30분~17시30분2220<NA>4441320<NA>20232
32서울특별시교육청동작관악교육지원청3f6c4638-fa48-42ee-b862-cdcbdee6eef0서울노량진초등학교병설유치원공립(병설)윤정애윤정애2017092720180307서울특별시 동작구 장승배기로 16002-817-1264<NA>07시30분~20시00분<NA><NA><NA>1<NA><NA><NA><NA>15<NA>20232
33서울특별시교육청동작관악교육지원청6cc39611-cfc5-4d3e-bc54-ff88d1afcf01모아유치원사립(사인)윤대섭최문영2014101020150301서울특별시 동작구 동작대로27길 6202-532-6667<NA>09시00분~18시30분1110<NA>2426250<NA>20182
34서울특별시교육청동작관악교육지원청6f1822d8-a14e-4236-a707-fd9af1e88aec시현유치원사립(사인)나현선정양순2017022320170302서울특별시 동작구 만양로8길 5002-6949-4442https://cafe.naver.com/sihyun201709시30분~18시30분2220<NA>4248270<NA>20232
35서울특별시교육청동작관악교육지원청89e2307e-5deb-45c1-84c3-670f209825f3서울행림초등학교병설유치원공립(병설)배은정배은정2018030120180301서울특별시 동작구 솔밭로 4702-523-1355http://www.hrim.es.kr/index.do07시30분~19시30분1<NA><NA>1<NA>3<NA><NA>6<NA>20232
36서울특별시교육청동작관악교육지원청8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73서울은로유치원공립(단설)김정숙김정숙2023011220230301서울특별시 동작구 서달로 11502-826-5787http://서울은로유치원.kr07시30분~19시30분322013526440420232
37서울특별시교육청동작관악교육지원청afaeef71-68b6-4a13-acd4-cb8285459fb9서울본동초등학교병설유치원공립(병설)구양주구양주2017092120180301서울특별시 동작구 노량진로26길 16-4002-826-5195http://bondong.sen.es.kr07시00분~19시30분<NA><NA><NA>1<NA><NA><NA><NA>8<NA>20222