Overview

Dataset statistics

Number of variables24
Number of observations48
Missing cells23
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory207.8 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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20593/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (78.2%)Imbalance
특수학급수 is highly imbalanced (56.7%)Imbalance
혼합유아수 is highly imbalanced (78.2%)Imbalance
특수유아수 is highly imbalanced (62.6%)Imbalance
홈페이지 has 16 (33.3%) missing valuesMissing
만3세유아수 has 3 (6.2%) missing valuesMissing
만4세유아수 has 3 (6.2%) missing valuesMissing
만5세유아수 has 1 (2.1%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대표자명 has unique valuesUnique
원장명 has unique valuesUnique
개원일 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:07:52.164957
Analysis finished2024-03-13 13:07:52.654377
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울특별시교육청
48 

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 48
100.0%

Length

2024-03-13T22:07:52.784866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:52.935318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 48
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
강서양천교육지원청
48 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

Length

2024-03-13T22:07:53.083623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:53.218158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

유치원코드
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:07:53.460895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1728
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

Unique48 ?
Unique (%)100.0%

Sample

1st row1dfcc6e7-c6ff-4843-b970-cfba072320b4
2nd row1ecec08c-ed7f-b044-e053-0a32095ab044
3rd row1ecec08c-ed80-b044-e053-0a32095ab044
4th row1ecec08c-ed81-b044-e053-0a32095ab044
5th row1ecec08c-eec5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1dfcc6e7-c6ff-4843-b970-cfba072320b4 1
 
2.1%
1ecec08c-ed7f-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-08bb-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0120-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0121-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-018d-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-02b0-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-04c8-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054c-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054d-b044-e053-0a32095ab044 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T22:07:54.012034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
56.0%
Lowercase Letter 569
32.9%
Dash Punctuation 192
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
30.4%
4 192
19.9%
5 104
 
10.8%
3 99
 
10.2%
8 66
 
6.8%
9 63
 
6.5%
2 58
 
6.0%
1 58
 
6.0%
6 20
 
2.1%
7 13
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
67.1%
Latin 569
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 294
25.4%
4 192
16.6%
- 192
16.6%
5 104
 
9.0%
3 99
 
8.5%
8 66
 
5.7%
9 63
 
5.4%
2 58
 
5.0%
1 58
 
5.0%
6 20
 
1.7%
Latin
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

유치원명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:07:54.294755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.3125
Min length5

Characters and Unicode

Total characters351
Distinct characters66
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

Unique48 ?
Unique (%)100.0%

Sample

1st row서울강월초등학교병설유치원
2nd row새서울유치원
3rd row샘터유치원
4th row서울경인유치원
5th row솔샘유치원
ValueCountFrequency (%)
서울강월초등학교병설유치원 1
 
2.1%
새서울유치원 1
 
2.1%
한서유치원 1
 
2.1%
성보유치원 1
 
2.1%
어린이의정원유치원 1
 
2.1%
광영유치원 1
 
2.1%
서울강신초등학교병설유치원 1
 
2.1%
레인보우유치원 1
 
2.1%
세화유치원 1
 
2.1%
양서유치원 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T22:07:54.773356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

설립유형
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
사립(사인)
29 
공립(병설)
12 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 29
60.4%
공립(병설) 12
25.0%
사립(법인) 5
 
10.4%
공립(단설) 2
 
4.2%

Length

2024-03-13T22:07:54.961369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:55.107396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 29
60.4%
공립(병설 12
25.0%
사립(법인 5
 
10.4%
공립(단설 2
 
4.2%

대표자명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:07:55.393947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.25
Min length2

Characters and Unicode

Total characters156
Distinct characters75
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

Unique48 ?
Unique (%)100.0%

Sample

1st row류록희
2nd row이상옥
3rd row유재웅
4th row임성혜
5th row김성진
ValueCountFrequency (%)
류록희 1
 
2.0%
송필연 1
 
2.0%
정민아 1
 
2.0%
나원자 1
 
2.0%
학교법인 1
 
2.0%
광영학원 1
 
2.0%
최인자 1
 
2.0%
황정식 1
 
2.0%
황연숙 1
 
2.0%
조병도 1
 
2.0%
Other values (40) 40
80.0%
2024-03-13T22:07:55.946413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
5.1%
영 7
 
4.5%
박 7
 
4.5%
숙 7
 
4.5%
원 6
 
3.8%
김 6
 
3.8%
희 5
 
3.2%
정 5
 
3.2%
성 4
 
2.6%
미 4
 
2.6%
Other values (65) 97
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
98.7%
Space Separator 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
5.2%
영 7
 
4.5%
박 7
 
4.5%
숙 7
 
4.5%
원 6
 
3.9%
김 6
 
3.9%
희 5
 
3.2%
정 5
 
3.2%
성 4
 
2.6%
미 4
 
2.6%
Other values (64) 95
61.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
5.2%
영 7
 
4.5%
박 7
 
4.5%
숙 7
 
4.5%
원 6
 
3.9%
김 6
 
3.9%
희 5
 
3.2%
정 5
 
3.2%
성 4
 
2.6%
미 4
 
2.6%
Other values (64) 95
61.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
5.2%
영 7
 
4.5%
박 7
 
4.5%
숙 7
 
4.5%
원 6
 
3.9%
김 6
 
3.9%
희 5
 
3.2%
정 5
 
3.2%
성 4
 
2.6%
미 4
 
2.6%
Other values (64) 95
61.7%
ASCII
ValueCountFrequency (%)
2
100.0%

원장명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:07:56.339247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters144
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

Unique48 ?
Unique (%)100.0%

Sample

1st row류록희
2nd row이상옥
3rd row김두임
4th row임성혜
5th row차영자
ValueCountFrequency (%)
류록희 1
 
2.1%
이상옥 1
 
2.1%
김미화 1
 
2.1%
강금의 1
 
2.1%
나화자 1
 
2.1%
손영경 1
 
2.1%
최인자 1
 
2.1%
정미숙 1
 
2.1%
황연숙 1
 
2.1%
조윤정 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T22:07:56.949491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
숙 8
 
5.6%
영 8
 
5.6%
이 7
 
4.9%
미 7
 
4.9%
김 7
 
4.9%
희 6
 
4.2%
유 5
 
3.5%
정 5
 
3.5%
자 4
 
2.8%
원 4
 
2.8%
Other values (52) 83
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숙 8
 
5.6%
영 8
 
5.6%
이 7
 
4.9%
미 7
 
4.9%
김 7
 
4.9%
희 6
 
4.2%
유 5
 
3.5%
정 5
 
3.5%
자 4
 
2.8%
원 4
 
2.8%
Other values (52) 83
57.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숙 8
 
5.6%
영 8
 
5.6%
이 7
 
4.9%
미 7
 
4.9%
김 7
 
4.9%
희 6
 
4.2%
유 5
 
3.5%
정 5
 
3.5%
자 4
 
2.8%
원 4
 
2.8%
Other values (52) 83
57.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
숙 8
 
5.6%
영 8
 
5.6%
이 7
 
4.9%
미 7
 
4.9%
김 7
 
4.9%
희 6
 
4.2%
유 5
 
3.5%
정 5
 
3.5%
자 4
 
2.8%
원 4
 
2.8%
Other values (52) 83
57.6%

설립일
Real number (ℝ)

Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19967441
Minimum19760721
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:07:57.630053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19760721
5-th percentile19807530
Q119867853
median19955252
Q320067928
95-th percentile20167129
Maximum20210301
Range449580
Interquartile range (IQR)200075.75

Descriptive statistics

Standard deviation125985.76
Coefficient of variation (CV)0.00630956
Kurtosis-1.171087
Mean19967441
Median Absolute Deviation (MAD)95104
Skewness0.36207373
Sum9.5843715 × 108
Variance1.5872413 × 1010
MonotonicityNot monotonic
2024-03-13T22:07:57.879886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20130901 2
 
4.2%
19830221 2
 
4.2%
19960330 2
 
4.2%
20090811 1
 
2.1%
20000629 1
 
2.1%
19950302 1
 
2.1%
20050415 1
 
2.1%
19891209 1
 
2.1%
19821116 1
 
2.1%
20060301 1
 
2.1%
Other values (35) 35
72.9%
ValueCountFrequency (%)
19760721 1
2.1%
19790226 1
2.1%
19800215 1
2.1%
19821116 1
2.1%
19830221 2
4.2%
19840121 1
2.1%
19840504 1
2.1%
19841107 1
2.1%
19860207 1
2.1%
19860312 1
2.1%
ValueCountFrequency (%)
20210301 1
2.1%
20190901 1
2.1%
20170306 1
2.1%
20161229 1
2.1%
20150203 1
2.1%
20141118 1
2.1%
20130901 2
4.2%
20130301 1
2.1%
20120327 1
2.1%
20110901 1
2.1%

개원일
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19968065
Minimum19760721
Maximum20210322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:07:58.085631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19760721
5-th percentile19807530
Q119867853
median19955252
Q320067928
95-th percentile20170308
Maximum20210322
Range449601
Interquartile range (IQR)200075.75

Descriptive statistics

Standard deviation126336.64
Coefficient of variation (CV)0.0063269347
Kurtosis-1.1626585
Mean19968065
Median Absolute Deviation (MAD)95104
Skewness0.37039594
Sum9.5846712 × 108
Variance1.5960947 × 1010
MonotonicityNot monotonic
2024-03-13T22:07:58.309438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20170309 1
 
2.1%
20110901 1
 
2.1%
20000629 1
 
2.1%
19950302 1
 
2.1%
20130905 1
 
2.1%
20050415 1
 
2.1%
19891209 1
 
2.1%
19821116 1
 
2.1%
20060301 1
 
2.1%
19860207 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
19760721 1
2.1%
19790226 1
2.1%
19800215 1
2.1%
19821116 1
2.1%
19830221 1
2.1%
19830301 1
2.1%
19840504 1
2.1%
19841107 1
2.1%
19851012 1
2.1%
19860207 1
2.1%
ValueCountFrequency (%)
20210322 1
2.1%
20190901 1
2.1%
20170309 1
2.1%
20170307 1
2.1%
20150223 1
2.1%
20150203 1
2.1%
20130905 1
2.1%
20130901 1
2.1%
20130301 1
2.1%
20120327 1
2.1%

주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:07:58.702343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.041667
Min length16

Characters and Unicode

Total characters914
Distinct characters43
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

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 양천구 신월로 97
2nd row서울특별시 양천구 목동서로 340
3rd row서울특별시 양천구 신월로 99
4th row서울특별시 양천구 안양천로 1009
5th row서울특별시 양천구 목동서로 130
ValueCountFrequency (%)
서울특별시 48
25.0%
양천구 48
25.0%
목동서로 5
 
2.6%
목동동로 4
 
2.1%
22 3
 
1.6%
30 3
 
1.6%
130 2
 
1.0%
280 2
 
1.0%
13 2
 
1.0%
38 2
 
1.0%
Other values (67) 73
38.0%
2024-03-13T22:07:59.494945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
15.8%
서 54
 
5.9%
천 49
 
5.4%
양 49
 
5.4%
구 48
 
5.3%
로 48
 
5.3%
시 48
 
5.3%
별 48
 
5.3%
특 48
 
5.3%
울 48
 
5.3%
Other values (33) 330
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
66.0%
Decimal Number 160
 
17.5%
Space Separator 144
 
15.8%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Decimal Number
ValueCountFrequency (%)
1 28
17.5%
2 27
16.9%
3 22
13.8%
0 22
13.8%
4 13
8.1%
8 12
7.5%
9 11
 
6.9%
7 10
 
6.2%
6 8
 
5.0%
5 7
 
4.4%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
66.0%
Common 311
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Common
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
66.0%
ASCII 311
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%
Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%

전화번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T22:07:59.795550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters576
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

Unique48 ?
Unique (%)100.0%

Sample

1st row02-2605-1702
2nd row02-2646-1100
3rd row02-2691-1424
4th row02-2646-4906
5th row02-2646-2343
ValueCountFrequency (%)
02-2605-1702 1
 
2.1%
02-2646-1100 1
 
2.1%
02-2646-2561 1
 
2.1%
02-2643-7032 1
 
2.1%
02-2646-1133 1
 
2.1%
02-2603-6235 1
 
2.1%
02-2699-9916 1
 
2.1%
02-2653-7272 1
 
2.1%
02-2642-0784 1
 
2.1%
02-2603-3913 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T22:08:00.226464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 117
20.3%
- 96
16.7%
0 88
15.3%
6 81
14.1%
4 48
8.3%
9 30
 
5.2%
7 29
 
5.0%
3 29
 
5.0%
1 21
 
3.6%
5 20
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 96
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 117
24.4%
0 88
18.3%
6 81
16.9%
4 48
10.0%
9 30
 
6.2%
7 29
 
6.0%
3 29
 
6.0%
1 21
 
4.4%
5 20
 
4.2%
8 17
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 117
20.3%
- 96
16.7%
0 88
15.3%
6 81
14.1%
4 48
8.3%
9 30
 
5.2%
7 29
 
5.0%
3 29
 
5.0%
1 21
 
3.6%
5 20
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 117
20.3%
- 96
16.7%
0 88
15.3%
6 81
14.1%
4 48
8.3%
9 30
 
5.2%
7 29
 
5.0%
3 29
 
5.0%
1 21
 
3.6%
5 20
 
3.5%

홈페이지
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing16
Missing (%)33.3%
Memory size516.0 B
2024-03-13T22:08:00.581396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length25.84375
Min length17

Characters and Unicode

Total characters827
Distinct characters54
Distinct categories6 ?
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://gangwol.es.kr/
2nd rowhttp://www.새서울유치원.com
3rd rowhttp://www.서울경인유치원.com
4th rowhttps://swc.sen.es.kr
5th rowhttp://wonil.yoochiwon.kr
ValueCountFrequency (%)
https://arankids.kidsnote.ac 1
 
3.1%
http://www.서울경인유치원.com 1
 
3.1%
https://cafe.naver.com/deungdaekids 1
 
3.1%
https://se.sen.es.kr/88163/submenu.do 1
 
3.1%
http://www.kinderjw.co.kr 1
 
3.1%
https://kangsin.sen.es.kr/26459/submenu.do 1
 
3.1%
http://www.rainbowkid.net 1
 
3.1%
http://www.saehwaa.com 1
 
3.1%
https://jangsoo.sen.es.kr 1
 
3.1%
https://hanseo.kidsnote.ac 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T22:08:01.155319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 77
 
9.3%
. 75
 
9.1%
t 74
 
8.9%
s 56
 
6.8%
n 44
 
5.3%
w 43
 
5.2%
e 39
 
4.7%
o 39
 
4.7%
h 38
 
4.6%
k 34
 
4.1%
Other values (44) 308
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 584
70.6%
Other Punctuation 184
 
22.2%
Other Letter 27
 
3.3%
Decimal Number 25
 
3.0%
Uppercase Letter 5
 
0.6%
Connector Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 74
12.7%
s 56
 
9.6%
n 44
 
7.5%
w 43
 
7.4%
e 39
 
6.7%
o 39
 
6.7%
h 38
 
6.5%
k 34
 
5.8%
p 33
 
5.7%
a 31
 
5.3%
Other values (14) 153
26.2%
Other Letter
ValueCountFrequency (%)
원 4
14.8%
치 4
14.8%
유 4
14.8%
울 3
11.1%
서 3
11.1%
신 1
 
3.7%
영 1
 
3.7%
새 1
 
3.7%
설 1
 
3.7%
병 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
0 5
20.0%
1 4
16.0%
4 3
12.0%
6 3
12.0%
3 3
12.0%
2 2
 
8.0%
8 2
 
8.0%
5 2
 
8.0%
9 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 77
41.8%
. 75
40.8%
: 32
17.4%
Uppercase Letter
ValueCountFrequency (%)
M 3
60.0%
K 1
 
20.0%
Y 1
 
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 589
71.2%
Common 211
 
25.5%
Hangul 27
 
3.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 74
12.6%
s 56
 
9.5%
n 44
 
7.5%
w 43
 
7.3%
e 39
 
6.6%
o 39
 
6.6%
h 38
 
6.5%
k 34
 
5.8%
p 33
 
5.6%
a 31
 
5.3%
Other values (17) 158
26.8%
Hangul
ValueCountFrequency (%)
원 4
14.8%
치 4
14.8%
유 4
14.8%
울 3
11.1%
서 3
11.1%
신 1
 
3.7%
영 1
 
3.7%
새 1
 
3.7%
설 1
 
3.7%
병 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
/ 77
36.5%
. 75
35.5%
: 32
15.2%
0 5
 
2.4%
1 4
 
1.9%
4 3
 
1.4%
6 3
 
1.4%
3 3
 
1.4%
2 2
 
0.9%
8 2
 
0.9%
Other values (3) 5
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
96.7%
Hangul 27
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 77
 
9.6%
. 75
 
9.4%
t 74
 
9.2%
s 56
 
7.0%
n 44
 
5.5%
w 43
 
5.4%
e 39
 
4.9%
o 39
 
4.9%
h 38
 
4.8%
k 34
 
4.2%
Other values (30) 281
35.1%
Hangul
ValueCountFrequency (%)
원 4
14.8%
치 4
14.8%
유 4
14.8%
울 3
11.1%
서 3
11.1%
신 1
 
3.7%
영 1
 
3.7%
새 1
 
3.7%
설 1
 
3.7%
병 1
 
3.7%
Other values (4) 4
14.8%

운영시간
Categorical

Distinct16
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
07시00분~19시00분
8 
07시30분~19시30분
8 
09시00분~18시00분
6 
07시00분~20시00분
6 
09시00분~17시00분
4 
Other values (11)
16 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique7 ?
Unique (%)14.6%

Sample

1st row07시00분~19시00분
2nd row08시00분~20시00분
3rd row08시00분~19시00분
4th row09시00분~17시00분
5th row09시30분~20시00분

Common Values

ValueCountFrequency (%)
07시00분~19시00분 8
16.7%
07시30분~19시30분 8
16.7%
09시00분~18시00분 6
12.5%
07시00분~20시00분 6
12.5%
09시00분~17시00분 4
8.3%
09시00분~20시00분 3
 
6.2%
08시00분~20시00분 2
 
4.2%
08시00분~19시30분 2
 
4.2%
08시00분~18시30분 2
 
4.2%
08시00분~19시00분 1
 
2.1%
Other values (6) 6
12.5%

Length

2024-03-13T22:08:01.359995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시00분~19시00분 8
16.7%
07시30분~19시30분 8
16.7%
09시00분~18시00분 6
12.5%
07시00분~20시00분 6
12.5%
09시00분~17시00분 4
8.3%
09시00분~20시00분 3
 
6.2%
08시00분~20시00분 2
 
4.2%
08시00분~19시30분 2
 
4.2%
08시00분~18시30분 2
 
4.2%
08시00분~19시00분 1
 
2.1%
Other values (6) 6
12.5%

만3세학급수
Categorical

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
23 
2
19 
<NA>
3 
3
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.1875
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
47.9%
2 19
39.6%
<NA> 3
 
6.2%
3 2
 
4.2%
4 1
 
2.1%

Length

2024-03-13T22:08:01.529789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:01.695747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
47.9%
2 19
39.6%
na 3
 
6.2%
3 2
 
4.2%
4 1
 
2.1%

만4세학급수
Categorical

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
21 
2
18 
3
5 
<NA>
3 
4
 
1

Length

Max length4
Median length1
Mean length1.1875
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
43.8%
2 18
37.5%
3 5
 
10.4%
<NA> 3
 
6.2%
4 1
 
2.1%

Length

2024-03-13T22:08:01.876343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:02.020830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
43.8%
2 18
37.5%
3 5
 
10.4%
na 3
 
6.2%
4 1
 
2.1%

만5세학급수
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
2
23 
1
19 
3
5 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0625
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 23
47.9%
1 19
39.6%
3 5
 
10.4%
<NA> 1
 
2.1%

Length

2024-03-13T22:08:02.157767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:02.289424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 23
47.9%
1 19
39.6%
3 5
 
10.4%
na 1
 
2.1%

혼합학급수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
45 
1
 
1
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 45
93.8%
1 1
 
2.1%
2 1
 
2.1%
5 1
 
2.1%

Length

2024-03-13T22:08:02.410391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:02.528798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 45
93.8%
1 1
 
2.1%
2 1
 
2.1%
5 1
 
2.1%

특수학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
41 
1
6 
2
 
1

Length

Max length4
Median length4
Mean length3.5625
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
85.4%
1 6
 
12.5%
2 1
 
2.1%

Length

2024-03-13T22:08:02.670413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:02.790720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
85.4%
1 6
 
12.5%
2 1
 
2.1%

만3세유아수
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)80.0%
Missing3
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean24.466667
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:08:02.960309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.2
Q111
median19
Q337
95-th percentile55.2
Maximum70
Range68
Interquartile range (IQR)26

Descriptive statistics

Standard deviation16.885443
Coefficient of variation (CV)0.69014072
Kurtosis0.22483957
Mean24.466667
Median Absolute Deviation (MAD)11
Skewness0.88405399
Sum1101
Variance285.11818
MonotonicityNot monotonic
2024-03-13T22:08:03.158725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
9 4
 
8.3%
19 3
 
6.2%
17 2
 
4.2%
6 2
 
4.2%
12 2
 
4.2%
30 2
 
4.2%
37 1
 
2.1%
11 1
 
2.1%
27 1
 
2.1%
33 1
 
2.1%
Other values (26) 26
54.2%
(Missing) 3
 
6.2%
ValueCountFrequency (%)
2 1
 
2.1%
3 1
 
2.1%
5 1
 
2.1%
6 2
4.2%
8 1
 
2.1%
9 4
8.3%
10 1
 
2.1%
11 1
 
2.1%
12 2
4.2%
13 1
 
2.1%
ValueCountFrequency (%)
70 1
2.1%
66 1
2.1%
57 1
2.1%
48 1
2.1%
46 1
2.1%
44 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

만4세유아수
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)64.4%
Missing3
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean29.911111
Minimum8
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:08:03.313091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11.4
Q117
median22
Q342
95-th percentile67.2
Maximum82
Range74
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.138134
Coefficient of variation (CV)0.60640122
Kurtosis1.0989402
Mean29.911111
Median Absolute Deviation (MAD)7
Skewness1.276033
Sum1346
Variance328.99192
MonotonicityNot monotonic
2024-03-13T22:08:03.464534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
19 3
 
6.2%
15 3
 
6.2%
21 3
 
6.2%
25 3
 
6.2%
27 2
 
4.2%
44 2
 
4.2%
18 2
 
4.2%
22 2
 
4.2%
11 2
 
4.2%
16 2
 
4.2%
Other values (19) 21
43.8%
(Missing) 3
 
6.2%
ValueCountFrequency (%)
8 1
 
2.1%
11 2
4.2%
13 2
4.2%
14 1
 
2.1%
15 3
6.2%
16 2
4.2%
17 1
 
2.1%
18 2
4.2%
19 3
6.2%
20 1
 
2.1%
ValueCountFrequency (%)
82 1
2.1%
78 1
2.1%
69 1
2.1%
60 1
2.1%
56 1
2.1%
52 1
2.1%
48 1
2.1%
44 2
4.2%
43 2
4.2%
42 1
2.1%

만5세유아수
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)61.7%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean31.978723
Minimum10
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:08:03.621498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.6
Q120.5
median25
Q341
95-th percentile63.5
Maximum74
Range64
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation15.942136
Coefficient of variation (CV)0.49852323
Kurtosis0.18513477
Mean31.978723
Median Absolute Deviation (MAD)7
Skewness0.97773631
Sum1503
Variance254.15171
MonotonicityNot monotonic
2024-03-13T22:08:03.805785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
24 4
 
8.3%
20 4
 
8.3%
50 3
 
6.2%
22 3
 
6.2%
25 3
 
6.2%
21 2
 
4.2%
18 2
 
4.2%
12 2
 
4.2%
30 2
 
4.2%
19 2
 
4.2%
Other values (19) 20
41.7%
ValueCountFrequency (%)
10 1
 
2.1%
12 2
4.2%
14 1
 
2.1%
18 2
4.2%
19 2
4.2%
20 4
8.3%
21 2
4.2%
22 3
6.2%
23 1
 
2.1%
24 4
8.3%
ValueCountFrequency (%)
74 1
 
2.1%
70 1
 
2.1%
65 1
 
2.1%
60 1
 
2.1%
56 1
 
2.1%
50 3
6.2%
49 1
 
2.1%
48 1
 
2.1%
47 1
 
2.1%
41 2
4.2%

혼합유아수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
45 
1
 
1
24
 
1
114
 
1

Length

Max length3
Median length1
Mean length1.0625
Min length1

Unique

Unique3 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 45
93.8%
1 1
 
2.1%
24 1
 
2.1%
114 1
 
2.1%

Length

2024-03-13T22:08:04.049486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:04.260395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 45
93.8%
1 1
 
2.1%
24 1
 
2.1%
114 1
 
2.1%

특수유아수
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
41 
4
 
3
3
 
2
2
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.5625
Min length1

Unique

Unique2 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
85.4%
4 3
 
6.2%
3 2
 
4.2%
2 1
 
2.1%
6 1
 
2.1%

Length

2024-03-13T22:08:04.463772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:08:04.635183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
85.4%
4 3
 
6.2%
3 2
 
4.2%
2 1
 
2.1%
6 1
 
2.1%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.646
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T22:08:04.785511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.339525
Coefficient of variation (CV)0.00085738869
Kurtosis1.233032
Mean20223.646
Median Absolute Deviation (MAD)0
Skewness-1.7323276
Sum970735
Variance300.65913
MonotonicityNot monotonic
2024-03-13T22:08:04.953699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 38
79.2%
20182 4
 
8.3%
20192 3
 
6.2%
20202 1
 
2.1%
20191 1
 
2.1%
20222 1
 
2.1%
ValueCountFrequency (%)
20182 4
 
8.3%
20191 1
 
2.1%
20192 3
 
6.2%
20202 1
 
2.1%
20222 1
 
2.1%
20232 38
79.2%
ValueCountFrequency (%)
20232 38
79.2%
20222 1
 
2.1%
20202 1
 
2.1%
20192 3
 
6.2%
20191 1
 
2.1%
20182 4
 
8.3%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청강서양천교육지원청1dfcc6e7-c6ff-4843-b970-cfba072320b4서울강월초등학교병설유치원공립(병설)류록희류록희2016122920170309서울특별시 양천구 신월로 9702-2605-1702http://gangwol.es.kr/07시00분~19시00분<NA><NA>21<NA><NA><NA>121<NA>20232
1서울특별시교육청강서양천교육지원청1ecec08c-ed7f-b044-e053-0a32095ab044새서울유치원사립(사인)이상옥이상옥1987110119871101서울특별시 양천구 목동서로 34002-2646-1100http://www.새서울유치원.com08시00분~20시00분1120<NA>1217370<NA>20232
2서울특별시교육청강서양천교육지원청1ecec08c-ed80-b044-e053-0a32095ab044샘터유치원사립(사인)유재웅김두임1988051719880517서울특별시 양천구 신월로 9902-2691-1424<NA>08시00분~19시00분1210<NA>2544410<NA>20232
3서울특별시교육청강서양천교육지원청1ecec08c-ed81-b044-e053-0a32095ab044서울경인유치원공립(단설)임성혜임성혜2005093020050930서울특별시 양천구 안양천로 100902-2646-4906http://www.서울경인유치원.com09시00분~17시00분122011326280420232
4서울특별시교육청강서양천교육지원청1ecec08c-eec5-b044-e053-0a32095ab044솔샘유치원사립(사인)김성진차영자1988082319880823서울특별시 양천구 목동서로 13002-2646-2343<NA>09시30분~20시00분2210<NA>3034220<NA>20182
5서울특별시교육청강서양천교육지원청1ecec08c-ef9b-b044-e053-0a32095ab044서울월촌초등학교병설유치원공립(병설)이상래이상래1986031219860312서울특별시 양천구 목동중앙로 13202-2643-3477https://swc.sen.es.kr07시30분~19시30분2120<NA>2420250<NA>20232
6서울특별시교육청강서양천교육지원청1ecec08c-ef9d-b044-e053-0a32095ab044솔밭유치원사립(사인)기성환기윤경1984110719841107서울특별시 양천구 신월로10길 2-102-2693-0242<NA>09시00분~18시00분<NA><NA>12<NA><NA><NA>1924<NA>20182
7서울특별시교육청강서양천교육지원청1ecec08c-f320-b044-e053-0a32095ab044원일유치원사립(법인)이원표이원표1988031819880318서울특별시 양천구 목동동로 35002-2646-4265http://wonil.yoochiwon.kr08시00분~19시30분2120<NA>3721300<NA>20232
8서울특별시교육청강서양천교육지원청1ecec08c-f3d6-b044-e053-0a32095ab044서울영도초등학교병설유치원공립(병설)이희숙이희숙1987012719870127서울특별시 양천구 목동중앙로 7002-2643-5978http://www.영도병설유치원.kr07시00분~19시00분1220<NA>921250<NA>20232
9서울특별시교육청강서양천교육지원청1ecec08c-f448-b044-e053-0a32095ab044대한유치원사립(사인)원방희권미자1984050419840504서울특별시 양천구 오목로13길 3102-2692-7788<NA>08시00분~18시40분1110<NA>516140<NA>20202
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
38서울특별시교육청강서양천교육지원청1ecec08d-0c03-b044-e053-0a32095ab044빛나유치원사립(사인)박자옥김연순1996033019960330서울특별시 양천구 목동로 21202-2651-7355http://bitna.info07시00분~20시00분2220<NA>3137380<NA>20232
39서울특별시교육청강서양천교육지원청1ecec08d-0c04-b044-e053-0a32095ab044서울신기초등학교병설유치원공립(병설)김경숙김경숙2000090120001002서울특별시 양천구 신정로 29202-2601-9846<NA>07시00분~20시00분12101825200220232
40서울특별시교육청강서양천교육지원청1ecec08d-0e6c-b044-e053-0a32095ab044경성유치원사립(사인)유광열유광열1993052319930523서울특별시 양천구 목동로3길 5702-2648-4997<NA>09시00분~18시00분2220<NA>3927500<NA>20232
41서울특별시교육청강서양천교육지원청1ecec08d-0e6d-b044-e053-0a32095ab044등촌유치원사립(사인)김신수강미희1980021519800215서울특별시 양천구 목동중앙북로8길 4602-2646-0606<NA>09시00분~18시00분1110<NA>1213180<NA>20232
42서울특별시교육청강서양천교육지원청1ecec08d-0ef0-b044-e053-0a32095ab044꿈나무유치원사립(사인)김지연김지연2012032720120327서울특별시 양천구 목동서로 28002-2646-7701<NA>08시00분~18시30분2320<NA>4678560<NA>20232
43서울특별시교육청강서양천교육지원청1fc6dd86-cccf-d1d2-e053-0a32095ad1d2목동유치원사립(사인)박향순조유나2014111820150223서울특별시 양천구 오목로42길 1302-2065-3373https://mokdong.kidsnote.ac/07시00분~19시00분2330<NA>3536470<NA>20232
44서울특별시교육청강서양천교육지원청8abcadee-6df5-4c85-9e38-cba5a2d519a5서울양동초등학교병설유치원공립(병설)신미정신미정2021030120210322서울특별시 양천구 오목로23길 2402-2699-9742<NA>07시30분~19시30분11201915240320232
45서울특별시교육청강서양천교육지원청9c26aa7f-0f07-4613-9136-4984c723803f꿈꾸는유치원사립(사인)이영호 박정숙이영호2017030620170307서울특별시 양천구 오목로4길 802-2604-7890<NA>08시00분~18시30분2220<NA>4843490<NA>20232
46서울특별시교육청강서양천교육지원청a59a057e-4f5c-411a-bb2a-60068691c766세신유치원사립(법인)이철유형숙2015020320150203서울특별시 양천구 목동동로1길 3802-2642-4963http://cafe.daum.net/seshin100407시00분~20시00분2220<NA>3343480<NA>20232
47서울특별시교육청강서양천교육지원청d72d2e90-cf0d-4a9b-8697-a47e692aa3ea서울신정유치원공립(단설)김명나김명나2019090120190901서울특별시 양천구 신정로7길 81-402-2698-1683http://www.서울신정유치원.kr07시30분~19시30분233022744390620232