Overview

Dataset statistics

Number of variables24
Number of observations53
Missing cells23
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory207.5 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20586/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (67.3%)Imbalance
특수유아수 is highly imbalanced (62.3%)Imbalance
공시차수 is highly imbalanced (65.3%)Imbalance
홈페이지 has 10 (18.9%) missing valuesMissing
만3세유아수 has 6 (11.3%) missing valuesMissing
만4세유아수 has 5 (9.4%) missing valuesMissing
만5세유아수 has 2 (3.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
혼합유아수 has 48 (90.6%) zerosZeros

Reproduction

Analysis started2024-03-13 17:49:06.031278
Analysis finished2024-03-13 17:49:06.393743
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
서울특별시교육청
53 

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 53
100.0%

Length

2024-03-14T02:49:06.440118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:06.505860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 53
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
성북강북교육지원청
53 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

Length

2024-03-14T02:49:06.578476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:06.645012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

유치원코드
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T02:49:06.810592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1908
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

Unique53 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ee4e-b044-e053-0a32095ab044
2nd row1ecec08c-ee4f-b044-e053-0a32095ab044
3rd row1ecec08c-ee50-b044-e053-0a32095ab044
4th row1ecec08c-ef05-b044-e053-0a32095ab044
5th row1ecec08c-ef38-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ee4e-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-016f-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0268-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0269-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-02aa-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0426-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0427-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0428-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0429-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-062f-b044-e053-0a32095ab044 1
 
1.9%
Other values (43) 43
81.1%
2024-03-14T02:49:07.079228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
56.7%
Lowercase Letter 614
32.2%
Dash Punctuation 212
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
31.1%
4 221
20.4%
5 113
 
10.4%
3 113
 
10.4%
9 72
 
6.7%
2 70
 
6.5%
8 66
 
6.1%
1 65
 
6.0%
6 14
 
1.3%
7 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
67.8%
Latin 614
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
26.0%
4 221
17.1%
- 212
16.4%
5 113
 
8.7%
3 113
 
8.7%
9 72
 
5.6%
2 70
 
5.4%
8 66
 
5.1%
1 65
 
5.0%
6 14
 
1.1%
Latin
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

유치원명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T02:49:07.293370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6037736
Min length5

Characters and Unicode

Total characters403
Distinct characters92
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

Unique53 ?
Unique (%)100.0%

Sample

1st row개동유치원
2nd row영광유치원
3rd row은영유치원
4th row두산효자유치원
5th row새싹유치원
ValueCountFrequency (%)
개동유치원 1
 
1.9%
서울동신초등학교병설유치원 1
 
1.9%
새삼선유치원 1
 
1.9%
반디유치원 1
 
1.9%
한가람유치원 1
 
1.9%
서울길음유치원 1
 
1.9%
서울삼선초등학교병설유치원 1
 
1.9%
서울성북초등학교병설유치원 1
 
1.9%
서울숭곡초등학교병설유치원 1
 
1.9%
루이유치원 1
 
1.9%
Other values (43) 43
81.1%
2024-03-14T02:49:07.616436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

설립유형
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
사립(사인)
20 
사립(법인)
17 
공립(병설)
13 
공립(단설)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
37.7%
사립(법인) 17
32.1%
공립(병설) 13
24.5%
공립(단설) 3
 
5.7%

Length

2024-03-14T02:49:07.731431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:07.805244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
37.7%
사립(법인 17
32.1%
공립(병설 13
24.5%
공립(단설 3
 
5.7%

대표자명
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T02:49:07.994838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length4.1320755
Min length2

Characters and Unicode

Total characters219
Distinct characters88
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

Unique51 ?
Unique (%)96.2%

Sample

1st row재단법인예수교대한성결교회유지재단
2nd row왕기은
3rd row재)대한불교보문원
4th row석성환
5th row학교법인 은실학원
ValueCountFrequency (%)
지정미 2
 
3.4%
학교법인 2
 
3.4%
이윤희 1
 
1.7%
김만준 1
 
1.7%
성후경 1
 
1.7%
김정순 1
 
1.7%
이상일 1
 
1.7%
조철호 1
 
1.7%
이신애 1
 
1.7%
김금미 1
 
1.7%
Other values (46) 46
79.3%
2024-03-14T02:49:08.284786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 14
 
6.4%
이 12
 
5.5%
김 8
 
3.7%
7
 
3.2%
미 6
 
2.7%
재 6
 
2.7%
숙 6
 
2.7%
교 6
 
2.7%
지 5
 
2.3%
선 5
 
2.3%
Other values (78) 144
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
96.3%
Space Separator 7
 
3.2%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 14
 
6.6%
이 12
 
5.7%
김 8
 
3.8%
미 6
 
2.8%
재 6
 
2.8%
숙 6
 
2.8%
교 6
 
2.8%
지 5
 
2.4%
선 5
 
2.4%
경 5
 
2.4%
Other values (76) 138
65.4%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
96.3%
Common 8
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 14
 
6.6%
이 12
 
5.7%
김 8
 
3.8%
미 6
 
2.8%
재 6
 
2.8%
숙 6
 
2.8%
교 6
 
2.8%
지 5
 
2.4%
선 5
 
2.4%
경 5
 
2.4%
Other values (76) 138
65.4%
Common
ValueCountFrequency (%)
7
87.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
96.3%
ASCII 8
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 14
 
6.6%
이 12
 
5.7%
김 8
 
3.8%
미 6
 
2.8%
재 6
 
2.8%
숙 6
 
2.8%
교 6
 
2.8%
지 5
 
2.4%
선 5
 
2.4%
경 5
 
2.4%
Other values (76) 138
65.4%
ASCII
ValueCountFrequency (%)
7
87.5%
) 1
 
12.5%

원장명
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T02:49:08.519642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9811321
Min length2

Characters and Unicode

Total characters158
Distinct characters58
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

Unique49 ?
Unique (%)92.5%

Sample

1st row이정현
2nd row정은영
3rd row김현주
4th row이효자
5th row유청옥
ValueCountFrequency (%)
김현주 2
 
3.8%
지정미 2
 
3.8%
황기봉 1
 
1.9%
유혜자 1
 
1.9%
안은미 1
 
1.9%
신미선 1
 
1.9%
이정현 1
 
1.9%
이윤희 1
 
1.9%
박지현 1
 
1.9%
안애숙 1
 
1.9%
Other values (41) 41
77.4%
2024-03-14T02:49:08.810448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 12
 
7.6%
이 11
 
7.0%
김 10
 
6.3%
미 8
 
5.1%
희 7
 
4.4%
선 6
 
3.8%
은 5
 
3.2%
경 5
 
3.2%
현 5
 
3.2%
박 5
 
3.2%
Other values (48) 84
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 12
 
7.6%
이 11
 
7.0%
김 10
 
6.3%
미 8
 
5.1%
희 7
 
4.4%
선 6
 
3.8%
은 5
 
3.2%
경 5
 
3.2%
현 5
 
3.2%
박 5
 
3.2%
Other values (48) 84
53.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 12
 
7.6%
이 11
 
7.0%
김 10
 
6.3%
미 8
 
5.1%
희 7
 
4.4%
선 6
 
3.8%
은 5
 
3.2%
경 5
 
3.2%
현 5
 
3.2%
박 5
 
3.2%
Other values (48) 84
53.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 12
 
7.6%
이 11
 
7.0%
김 10
 
6.3%
미 8
 
5.1%
희 7
 
4.4%
선 6
 
3.8%
은 5
 
3.2%
경 5
 
3.2%
현 5
 
3.2%
박 5
 
3.2%
Other values (48) 84
53.2%

설립일
Real number (ℝ)

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19946496
Minimum19641007
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T02:49:08.920463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19641007
5-th percentile19694842
Q119850318
median19990119
Q320051229
95-th percentile20156631
Maximum20201231
Range560224
Interquartile range (IQR)200911

Descriptive statistics

Standard deviation139546.57
Coefficient of variation (CV)0.0069960445
Kurtosis-0.52185208
Mean19946496
Median Absolute Deviation (MAD)118889
Skewness-0.33550763
Sum1.0571643 × 109
Variance1.9473246 × 1010
MonotonicityNot monotonic
2024-03-14T02:49:09.267848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20001125 2
 
3.8%
19991228 1
 
1.9%
20051229 1
 
1.9%
20010901 1
 
1.9%
19960110 1
 
1.9%
20030902 1
 
1.9%
20051005 1
 
1.9%
19960122 1
 
1.9%
19850215 1
 
1.9%
20120831 1
 
1.9%
Other values (42) 42
79.2%
ValueCountFrequency (%)
19641007 1
1.9%
19650210 1
1.9%
19670301 1
1.9%
19711203 1
1.9%
19721204 1
1.9%
19770509 1
1.9%
19790416 1
1.9%
19820423 1
1.9%
19820621 1
1.9%
19830502 1
1.9%
ValueCountFrequency (%)
20201231 1
1.9%
20190711 1
1.9%
20181125 1
1.9%
20140301 1
1.9%
20120831 1
1.9%
20100204 1
1.9%
20080124 1
1.9%
20070509 1
1.9%
20070104 1
1.9%
20061228 1
1.9%

개원일
Real number (ℝ)

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19949660
Minimum19560303
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T02:49:09.391834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19560303
5-th percentile19658583
Q119851210
median19990615
Q320060103
95-th percentile20160304
Maximum20210301
Range649998
Interquartile range (IQR)208893

Descriptive statistics

Standard deviation146547.55
Coefficient of variation (CV)0.0073458669
Kurtosis0.039550846
Mean19949660
Median Absolute Deviation (MAD)109686
Skewness-0.58556117
Sum1.057332 × 109
Variance2.1476183 × 1010
MonotonicityNot monotonic
2024-03-14T02:49:09.502723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010301 2
 
3.8%
19991228 1
 
1.9%
20051229 1
 
1.9%
19960303 1
 
1.9%
20030902 1
 
1.9%
20051005 1
 
1.9%
19960301 1
 
1.9%
19850311 1
 
1.9%
20001125 1
 
1.9%
20120911 1
 
1.9%
Other values (42) 42
79.2%
ValueCountFrequency (%)
19560303 1
1.9%
19640601 1
1.9%
19641007 1
1.9%
19670301 1
1.9%
19721204 1
1.9%
19790416 1
1.9%
19810318 1
1.9%
19820621 1
1.9%
19830304 1
1.9%
19830502 1
1.9%
ValueCountFrequency (%)
20210301 1
1.9%
20190901 1
1.9%
20190301 1
1.9%
20140306 1
1.9%
20120911 1
1.9%
20100301 1
1.9%
20090513 1
1.9%
20080415 1
1.9%
20071031 1
1.9%
20070517 1
1.9%

주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T02:49:09.729160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.207547
Min length16

Characters and Unicode

Total characters965
Distinct characters58
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

Unique48 ?
Unique (%)90.6%

Sample

1st row서울특별시 성북구 보국문로 143
2nd row서울특별시 성북구 북악산로 913
3rd row서울특별시 성북구 보문사길 18
4th row서울특별시 성북구 화랑로48길 16
5th row서울특별시 성북구 정릉로 282
ValueCountFrequency (%)
서울특별시 53
25.0%
성북구 53
25.0%
성북로4길 4
 
1.9%
52 4
 
1.9%
16 3
 
1.4%
보문사길 2
 
0.9%
삼양로 2
 
0.9%
73 2
 
0.9%
66 2
 
0.9%
성북로 2
 
0.9%
Other values (79) 85
40.1%
2024-03-14T02:49:10.049654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.5%
북 62
 
6.4%
성 60
 
6.2%
서 56
 
5.8%
구 53
 
5.5%
울 53
 
5.5%
시 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
로 51
 
5.3%
Other values (48) 312
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
65.7%
Decimal Number 170
 
17.6%
Space Separator 159
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 28
16.5%
4 21
12.4%
3 17
10.0%
5 15
8.8%
6 15
8.8%
7 11
 
6.5%
9 10
 
5.9%
8 9
 
5.3%
0 9
 
5.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
65.7%
Common 331
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Common
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
65.7%
ASCII 331
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%

전화번호
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T02:49:10.237481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.09434
Min length11

Characters and Unicode

Total characters588
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

Unique51 ?
Unique (%)96.2%

Sample

1st row02-915-5721
2nd row02-923-5900
3rd row02-926-9278
4th row02-963-8334
5th row02-914-6529
ValueCountFrequency (%)
02-915-9300 2
 
3.8%
02-915-5721 1
 
1.9%
02-3675-5164 1
 
1.9%
02-922-2344 1
 
1.9%
02-913-3654 1
 
1.9%
02-745-9415 1
 
1.9%
02-929-1228 1
 
1.9%
02-942-0042 1
 
1.9%
02-918-9931 1
 
1.9%
02-745-7116 1
 
1.9%
Other values (42) 42
79.2%
2024-03-14T02:49:10.516096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 106
18.0%
2 102
17.3%
0 83
14.1%
9 75
12.8%
1 42
 
7.1%
4 38
 
6.5%
5 36
 
6.1%
6 29
 
4.9%
3 27
 
4.6%
7 27
 
4.6%
Other values (2) 23
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 481
81.8%
Dash Punctuation 106
 
18.0%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 102
21.2%
0 83
17.3%
9 75
15.6%
1 42
8.7%
4 38
 
7.9%
5 36
 
7.5%
6 29
 
6.0%
3 27
 
5.6%
7 27
 
5.6%
8 22
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 106
18.0%
2 102
17.3%
0 83
14.1%
9 75
12.8%
1 42
 
7.1%
4 38
 
6.5%
5 36
 
6.1%
6 29
 
4.9%
3 27
 
4.6%
7 27
 
4.6%
Other values (2) 23
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 106
18.0%
2 102
17.3%
0 83
14.1%
9 75
12.8%
1 42
 
7.1%
4 38
 
6.5%
5 36
 
6.1%
6 29
 
4.9%
3 27
 
4.6%
7 27
 
4.6%
Other values (2) 23
 
3.9%

홈페이지
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing10
Missing (%)18.9%
Memory size556.0 B
2024-03-14T02:49:10.736289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.209302
Min length19

Characters and Unicode

Total characters1127
Distinct characters48
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

Unique41 ?
Unique (%)95.3%

Sample

1st rowhttp://kaedong.kidswon.com
2nd rowhttp://cafe.daum.net/ykkindergarten
3rd rowhttp://cafe.daum.net/dmsdud9278
4th rowhttp://dshyoja.kidswon.com
5th rowhttp://www.saessakid.co.kr
ValueCountFrequency (%)
http://joeunsorikd.kg.kr 2
 
4.7%
http://www.soonggok.es.kr 1
 
2.3%
http://dongdukchild.co.kr 1
 
2.3%
http://www.ducksoo-i.net 1
 
2.3%
http://www.ssskid.co.kr 1
 
2.3%
http://www.bandykindergarten.co.kr 1
 
2.3%
http://www.hangaramdream.co.kr 1
 
2.3%
http://www.gileum.net 1
 
2.3%
http://www.samsun.es.kr 1
 
2.3%
http://www.sungbuk.kg.kr 1
 
2.3%
Other values (32) 32
74.4%
2024-03-14T02:49:11.058634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 108
 
9.6%
/ 103
 
9.1%
t 98
 
8.7%
w 79
 
7.0%
o 57
 
5.1%
h 57
 
5.1%
k 56
 
5.0%
n 55
 
4.9%
e 54
 
4.8%
r 47
 
4.2%
Other values (38) 413
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 845
75.0%
Other Punctuation 254
 
22.5%
Decimal Number 13
 
1.2%
Other Letter 13
 
1.2%
Uppercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 98
 
11.6%
w 79
 
9.3%
o 57
 
6.7%
h 57
 
6.7%
k 56
 
6.6%
n 55
 
6.5%
e 54
 
6.4%
r 47
 
5.6%
s 46
 
5.4%
p 45
 
5.3%
Other values (13) 251
29.7%
Other Letter
ValueCountFrequency (%)
학 1
 
7.7%
원 1
 
7.7%
치 1
 
7.7%
유 1
 
7.7%
설 1
 
7.7%
병 1
 
7.7%
교 1
 
7.7%
등 1
 
7.7%
초 1
 
7.7%
례 1
 
7.7%
Other values (3) 3
23.1%
Decimal Number
ValueCountFrequency (%)
8 4
30.8%
9 3
23.1%
7 2
15.4%
1 1
 
7.7%
2 1
 
7.7%
0 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 108
42.5%
/ 103
40.6%
: 43
 
16.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 846
75.1%
Common 268
 
23.8%
Hangul 13
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 98
 
11.6%
w 79
 
9.3%
o 57
 
6.7%
h 57
 
6.7%
k 56
 
6.6%
n 55
 
6.5%
e 54
 
6.4%
r 47
 
5.6%
s 46
 
5.4%
p 45
 
5.3%
Other values (14) 252
29.8%
Hangul
ValueCountFrequency (%)
학 1
 
7.7%
원 1
 
7.7%
치 1
 
7.7%
유 1
 
7.7%
설 1
 
7.7%
병 1
 
7.7%
교 1
 
7.7%
등 1
 
7.7%
초 1
 
7.7%
례 1
 
7.7%
Other values (3) 3
23.1%
Common
ValueCountFrequency (%)
. 108
40.3%
/ 103
38.4%
: 43
 
16.0%
8 4
 
1.5%
9 3
 
1.1%
7 2
 
0.7%
1 1
 
0.4%
2 1
 
0.4%
0 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1114
98.8%
Hangul 13
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 108
 
9.7%
/ 103
 
9.2%
t 98
 
8.8%
w 79
 
7.1%
o 57
 
5.1%
h 57
 
5.1%
k 56
 
5.0%
n 55
 
4.9%
e 54
 
4.8%
r 47
 
4.2%
Other values (25) 400
35.9%
Hangul
ValueCountFrequency (%)
학 1
 
7.7%
원 1
 
7.7%
치 1
 
7.7%
유 1
 
7.7%
설 1
 
7.7%
병 1
 
7.7%
교 1
 
7.7%
등 1
 
7.7%
초 1
 
7.7%
례 1
 
7.7%
Other values (3) 3
23.1%

운영시간
Categorical

Distinct16
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
07시30분~19시30분
14 
07시00분~20시00분
13 
09시00분~20시00분
5 
08시00분~18시00분
3 
07시00분~19시00분
3 
Other values (11)
15 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique7 ?
Unique (%)13.2%

Sample

1st row09시00분~17시00분
2nd row08시00분~18시30분
3rd row09시00분~18시00분
4th row07시30분~19시30분
5th row08시00분~19시00분

Common Values

ValueCountFrequency (%)
07시30분~19시30분 14
26.4%
07시00분~20시00분 13
24.5%
09시00분~20시00분 5
 
9.4%
08시00분~18시00분 3
 
5.7%
07시00분~19시00분 3
 
5.7%
09시00분~17시00분 2
 
3.8%
08시00분~18시30분 2
 
3.8%
09시00분~18시00분 2
 
3.8%
07시00분~19시30분 2
 
3.8%
08시00분~19시00분 1
 
1.9%
Other values (6) 6
11.3%

Length

2024-03-14T02:49:11.169042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시30분~19시30분 14
26.4%
07시00분~20시00분 13
24.5%
09시00분~20시00분 5
 
9.4%
08시00분~18시00분 3
 
5.7%
07시00분~19시00분 3
 
5.7%
09시00분~17시00분 2
 
3.8%
08시00분~18시30분 2
 
3.8%
09시00분~18시00분 2
 
3.8%
07시00분~19시30분 2
 
3.8%
08시00분~19시00분 1
 
1.9%
Other values (6) 6
11.3%

만3세학급수
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
28 
2
15 
<NA>
6 
3
4 

Length

Max length4
Median length1
Mean length1.3396226
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
52.8%
2 15
28.3%
<NA> 6
 
11.3%
3 4
 
7.5%

Length

2024-03-14T02:49:11.256469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:11.334366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
52.8%
2 15
28.3%
na 6
 
11.3%
3 4
 
7.5%

만4세학급수
Categorical

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
30 
2
14 
<NA>
5 
3
 
3
4
 
1

Length

Max length4
Median length1
Mean length1.2830189
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
56.6%
2 14
26.4%
<NA> 5
 
9.4%
3 3
 
5.7%
4 1
 
1.9%

Length

2024-03-14T02:49:11.427753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:11.523504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
56.6%
2 14
26.4%
na 5
 
9.4%
3 3
 
5.7%
4 1
 
1.9%

만5세학급수
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
26 
2
23 
<NA>
 
2
3
 
2

Length

Max length4
Median length1
Mean length1.1132075
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
49.1%
2 23
43.4%
<NA> 2
 
3.8%
3 2
 
3.8%

Length

2024-03-14T02:49:11.611007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:11.696589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
49.1%
2 23
43.4%
na 2
 
3.8%
3 2
 
3.8%

혼합학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
0
48 
1
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
90.6%
1 4
 
7.5%
3 1
 
1.9%

Length

2024-03-14T02:49:11.778959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:11.853103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
90.6%
1 4
 
7.5%
3 1
 
1.9%

특수학급수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
46 
1
7 

Length

Max length4
Median length4
Mean length3.6037736
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> 46
86.8%
1 7
 
13.2%

Length

2024-03-14T02:49:11.932536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:12.004421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
86.8%
1 7
 
13.2%

만3세유아수
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)66.0%
Missing6
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean23.744681
Minimum2
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T02:49:12.076757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q111
median17
Q336.5
95-th percentile55.4
Maximum64
Range62
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation16.888983
Coefficient of variation (CV)0.71127437
Kurtosis-0.46251141
Mean23.744681
Median Absolute Deviation (MAD)9
Skewness0.85395334
Sum1116
Variance285.23774
MonotonicityNot monotonic
2024-03-14T02:49:12.181449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
15 4
 
7.5%
8 3
 
5.7%
11 3
 
5.7%
18 3
 
5.7%
5 2
 
3.8%
16 2
 
3.8%
14 2
 
3.8%
10 2
 
3.8%
9 2
 
3.8%
28 2
 
3.8%
Other values (21) 22
41.5%
(Missing) 6
 
11.3%
ValueCountFrequency (%)
2 1
 
1.9%
4 1
 
1.9%
5 2
3.8%
8 3
5.7%
9 2
3.8%
10 2
3.8%
11 3
5.7%
13 1
 
1.9%
14 2
3.8%
15 4
7.5%
ValueCountFrequency (%)
64 1
1.9%
59 1
1.9%
56 1
1.9%
54 1
1.9%
52 1
1.9%
49 1
1.9%
46 1
1.9%
44 1
1.9%
42 1
1.9%
41 1
1.9%

만4세유아수
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)64.6%
Missing5
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean29.145833
Minimum4
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T02:49:12.274537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q116.5
median23.5
Q342.25
95-th percentile66.1
Maximum91
Range87
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation19.008385
Coefficient of variation (CV)0.65218191
Kurtosis1.3671912
Mean29.145833
Median Absolute Deviation (MAD)10.5
Skewness1.1974567
Sum1399
Variance361.31871
MonotonicityNot monotonic
2024-03-14T02:49:12.364800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
25 4
 
7.5%
22 3
 
5.7%
11 3
 
5.7%
19 3
 
5.7%
8 2
 
3.8%
21 2
 
3.8%
71 2
 
3.8%
4 2
 
3.8%
17 2
 
3.8%
43 2
 
3.8%
Other values (21) 23
43.4%
(Missing) 5
 
9.4%
ValueCountFrequency (%)
4 2
3.8%
8 2
3.8%
11 3
5.7%
12 1
 
1.9%
13 2
3.8%
14 1
 
1.9%
15 1
 
1.9%
17 2
3.8%
18 1
 
1.9%
19 3
5.7%
ValueCountFrequency (%)
91 1
1.9%
71 2
3.8%
57 1
1.9%
55 1
1.9%
53 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
45 1
1.9%
43 2
3.8%

만5세유아수
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)58.8%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean31.764706
Minimum3
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T02:49:12.453553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q121
median27
Q343
95-th percentile64.5
Maximum85
Range82
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.769174
Coefficient of variation (CV)0.55939991
Kurtosis0.57382517
Mean31.764706
Median Absolute Deviation (MAD)7
Skewness0.8250192
Sum1620
Variance315.74353
MonotonicityNot monotonic
2024-03-14T02:49:12.543213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20 5
 
9.4%
23 4
 
7.5%
25 3
 
5.7%
7 3
 
5.7%
22 2
 
3.8%
53 2
 
3.8%
32 2
 
3.8%
44 2
 
3.8%
27 2
 
3.8%
30 2
 
3.8%
Other values (20) 24
45.3%
ValueCountFrequency (%)
3 1
 
1.9%
4 1
 
1.9%
7 3
5.7%
10 1
 
1.9%
17 2
 
3.8%
20 5
9.4%
22 2
 
3.8%
23 4
7.5%
24 2
 
3.8%
25 3
5.7%
ValueCountFrequency (%)
85 1
1.9%
68 1
1.9%
66 1
1.9%
63 1
1.9%
59 1
1.9%
56 1
1.9%
53 2
3.8%
51 2
3.8%
46 1
1.9%
44 2
3.8%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0943396
Minimum0
Maximum83
Zeros48
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T02:49:12.622415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.2
Maximum83
Range83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.125524
Coefficient of variation (CV)4.2417853
Kurtosis28.092827
Mean3.0943396
Median Absolute Deviation (MAD)0
Skewness5.1020832
Sum164
Variance172.27939
MonotonicityNot monotonic
2024-03-14T02:49:12.697988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 48
90.6%
37 1
 
1.9%
34 1
 
1.9%
6 1
 
1.9%
83 1
 
1.9%
4 1
 
1.9%
ValueCountFrequency (%)
0 48
90.6%
4 1
 
1.9%
6 1
 
1.9%
34 1
 
1.9%
37 1
 
1.9%
83 1
 
1.9%
ValueCountFrequency (%)
83 1
 
1.9%
37 1
 
1.9%
34 1
 
1.9%
6 1
 
1.9%
4 1
 
1.9%
0 48
90.6%

특수유아수
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
46 
3
 
3
4
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.6037736
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
86.8%
3 3
 
5.7%
4 3
 
5.7%
2 1
 
1.9%

Length

2024-03-14T02:49:12.797502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:12.889166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
86.8%
3 3
 
5.7%
4 3
 
5.7%
2 1
 
1.9%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
20232
46 
20182
 
3
20192
 
2
20222
 
1
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

Length

2024-03-14T02:49:12.971592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:49:13.048818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 46
86.8%
20182 3
 
5.7%
20192 2
 
3.8%
20222 1
 
1.9%
20191 1
 
1.9%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청성북강북교육지원청1ecec08c-ee4e-b044-e053-0a32095ab044개동유치원사립(법인)재단법인예수교대한성결교회유지재단이정현1999122819991228서울특별시 성북구 보국문로 14302-915-5721http://kaedong.kidswon.com09시00분~17시00분1110<NA>919250<NA>20232
1서울특별시교육청성북강북교육지원청1ecec08c-ee4f-b044-e053-0a32095ab044영광유치원사립(사인)왕기은정은영1999011919990119서울특별시 성북구 북악산로 91302-923-5900http://cafe.daum.net/ykkindergarten08시00분~18시30분2220<NA>4243420<NA>20232
2서울특별시교육청성북강북교육지원청1ecec08c-ee50-b044-e053-0a32095ab044은영유치원사립(법인)재)대한불교보문원김현주1987123019871230서울특별시 성북구 보문사길 1802-926-9278http://cafe.daum.net/dmsdud927809시00분~18시00분2120<NA>2825340<NA>20232
3서울특별시교육청성북강북교육지원청1ecec08c-ef05-b044-e053-0a32095ab044두산효자유치원사립(사인)석성환이효자2003030820030308서울특별시 성북구 화랑로48길 1602-963-8334http://dshyoja.kidswon.com07시30분~19시30분1210<NA>1727240<NA>20232
4서울특별시교육청성북강북교육지원청1ecec08c-ef38-b044-e053-0a32095ab044새싹유치원사립(법인)학교법인 은실학원유청옥1964100719641007서울특별시 성북구 정릉로 28202-914-6529http://www.saessakid.co.kr08시00분~19시00분2220<NA>2838510<NA>20232
5서울특별시교육청성북강북교육지원청1ecec08c-efed-b044-e053-0a32095ab044영암유치원사립(법인)서울노회유지재단이선미1987022819870228서울특별시 성북구 안암로7길 6602-922-4773https://youngahm.modoo.at/09시00분~20시00분1110<NA>2123240<NA>20232
6서울특별시교육청성북강북교육지원청1ecec08c-efee-b044-e053-0a32095ab044성신유치원사립(법인)전홍주전홍주1983111619840428서울특별시 성북구 보문로34다길 202-920-7384http://www.sskid.or.kr08시00분~18시00분2210<NA>3842230<NA>20232
7서울특별시교육청성북강북교육지원청1ecec08c-f051-b044-e053-0a32095ab044서울장곡초등학교병설유치원공립(병설)진희정진희정2014030120140306서울특별시 성북구 장월로23길 1602-919-9128http://www.janggokcho.es.kr07시00분~20시00분2110<NA>1522230<NA>20232
8서울특별시교육청성북강북교육지원청1ecec08c-f350-b044-e053-0a32095ab044빛나라유치원사립(사인)이은숙이은숙2006010320060103서울특별시 성북구 종암로9길 7802-928-2004<NA>09시00분~20시00분1110<NA>1112170<NA>20182
9서울특별시교육청성북강북교육지원청1ecec08c-f372-b044-e053-0a32095ab044선한유치원사립(법인)정순택홍승자1987013119870302서울특별시 성북구 길음로9길 7302-919-2226http://cafe.daum.net/seonhan198708시00분~19시30분1110<NA>1825250<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
43서울특별시교육청성북강북교육지원청1ecec08d-0ae6-b044-e053-0a32095ab044좋은나라유치원사립(사인)구승회이혜경1999060919990615서울특별시 성북구 종암로24가길 5302-911-5777http://cafe.naver.com/joheunnara08시00분~18시30분2320<NA>4971660<NA>20232
44서울특별시교육청성북강북교육지원청1ecec08d-0af8-b044-e053-0a32095ab044세아유치원사립(사인)이현숙 김선월전영희1995122819951228서울특별시 성북구 성북로4길 5202-929-0580<NA>07시00분~20시00분1110<NA>4870<NA>20232
45서울특별시교육청성북강북교육지원청1ecec08d-0b26-b044-e053-0a32095ab044서울석관초등학교병설유치원공립(병설)신경희신경희1971120320090513서울특별시 성북구 돌곶이로22길 2102-959-1396http://www.seokgwan.es.kr07시00분~20시00분112011119310420232
46서울특별시교육청성북강북교육지원청1ecec08d-0d94-b044-e053-0a32095ab044동덕여자대학교부속유치원사립(법인)학교법인 동덕학원유혜자1982042319830304서울특별시 성북구 장월로1가길 902-940-4272http://dongdukchild.co.kr/09시30분~17시30분<NA><NA>23<NA><NA><NA>5383<NA>20232
47서울특별시교육청성북강북교육지원청1ecec08d-0eb6-b044-e053-0a32095ab044서울숭례초등학교병설유치원공립(병설)황기봉황기봉2002030120020301서울특별시 성북구 종암로5길 1402-953-0995http://www.서울숭례초등학교병설유치원.kr07시00분~19시00분222011622320420232
48서울특별시교육청성북강북교육지원청1ecec08d-0f4e-b044-e053-0a32095ab044천사유치원사립(사인)김현주신미선1997051919970225서울특별시 성북구 성북로4길 5202-953-1004<NA>07시30분~19시30분<NA><NA>11<NA><NA><NA>44<NA>20222
49서울특별시교육청성북강북교육지원청1ecec08d-0f77-b044-e053-0a32095ab044푸른샘유치원사립(사인)이경미안은미2006122820061228서울특별시 성북구 길음로13길 2902-915-9300<NA>09시00분~20시00분2230<NA>4649590<NA>20191
50서울특별시교육청성북강북교육지원청31f91c90-4c4e-485d-9929-976cb8bfac30서울좋은소리유치원공립(단설)지정미지정미2019071120190901서울특별시 성북구 길음로13길 2902-915-9300http://joeunsorikd.kg.kr07시30분~19시30분112011521360320232
51서울특별시교육청성북강북교육지원청7ec89e9b-5287-4ece-b0d3-24499defde1b서울장위초등학교병설유치원공립(병설)김경애김경애2018112520190301서울특별시 성북구 장월로8가길 4102-6925-4560<NA>07시30분~19시30분11101811220320232
52서울특별시교육청성북강북교육지원청9236ee2c-f1f2-4550-911b-4ee00ac5dc2d서울좋은소리유치원분원공립(단설)지정미지정미2020123120210301서울특별시 성북구 숭인로 5002-6221-7800http://joeunsorikd.kg.kr07시30분~19시30분111011419200220232