Overview

Dataset statistics

Number of variables24
Number of observations36
Missing cells22
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory208.7 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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20588/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
특수유아수 is highly imbalanced (61.2%)Imbalance
홈페이지 has 9 (25.0%) missing valuesMissing
만3세유아수 has 5 (13.9%) missing valuesMissing
만4세유아수 has 5 (13.9%) missing valuesMissing
만5세유아수 has 3 (8.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대표자명 has unique valuesUnique
원장명 has unique valuesUnique
전화번호 has unique valuesUnique
만3세유아수 has 1 (2.8%) zerosZeros
혼합유아수 has 29 (80.6%) zerosZeros

Reproduction

Analysis started2024-03-13 10:08:41.830787
Analysis finished2024-03-13 10:08:42.167053
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
서울특별시교육청
36 

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 36
100.0%

Length

2024-03-13T19:08:42.228253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:42.314054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
북부교육지원청
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 36
100.0%

Length

2024-03-13T19:08:42.400956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:42.504765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T19:08:42.706946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1296
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

Unique36 ?
Unique (%)100.0%

Sample

1st row12c109c2-23b7-4e98-a3e1-57e391f3a55a
2nd row1ecec08c-ed87-b044-e053-0a32095ab044
3rd row1ecec08c-ee11-b044-e053-0a32095ab044
4th row1ecec08c-eecf-b044-e053-0a32095ab044
5th row1ecec08c-eed0-b044-e053-0a32095ab044
ValueCountFrequency (%)
12c109c2-23b7-4e98-a3e1-57e391f3a55a 1
 
2.8%
1ecec08c-ed87-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e2d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08cf-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-09d1-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0b9f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0ba6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0d3d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e36-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T19:08:43.123460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 721
55.6%
Lowercase Letter 431
33.3%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
27.9%
4 142
19.7%
3 76
 
10.5%
5 74
 
10.3%
1 53
 
7.4%
8 51
 
7.1%
9 48
 
6.7%
2 47
 
6.5%
6 15
 
2.1%
7 14
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
66.7%
Latin 431
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
23.2%
- 144
16.6%
4 142
16.4%
3 76
 
8.8%
5 74
 
8.6%
1 53
 
6.1%
8 51
 
5.9%
9 48
 
5.5%
2 47
 
5.4%
6 15
 
1.7%
Latin
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T19:08:43.366414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.4444444
Min length5

Characters and Unicode

Total characters268
Distinct characters70
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울월천초등학교병설유치원
2nd row햇살유치원
3rd row행복한유치원
4th row선희유치원
5th row슬기유치원
ValueCountFrequency (%)
서울월천초등학교병설유치원 1
 
2.8%
햇살유치원 1
 
2.8%
나래유치원 1
 
2.8%
한사랑유치원 1
 
2.8%
솔샘유치원 1
 
2.8%
유화유치원 1
 
2.8%
서울신창초등학교병설유치원 1
 
2.8%
예그린유치원 1
 
2.8%
신창유치원 1
 
2.8%
지현유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T19:08:43.709539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

설립유형
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
22 
공립(병설)
9 
사립(법인)
3 
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 row사립(사인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 22
61.1%
공립(병설) 9
25.0%
사립(법인) 3
 
8.3%
공립(단설) 2
 
5.6%

Length

2024-03-13T19:08:43.865998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:43.963794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 22
61.1%
공립(병설 9
25.0%
사립(법인 3
 
8.3%
공립(단설 2
 
5.6%

대표자명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T19:08:44.140715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters108
Distinct characters61
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

Unique36 ?
Unique (%)100.0%

Sample

1st row심수용
2nd row김명희
3rd row이계화
4th row정소영
5th row김신영
ValueCountFrequency (%)
심수용 1
 
2.8%
김명희 1
 
2.8%
김춘태 1
 
2.8%
김민균 1
 
2.8%
김병옥 1
 
2.8%
김광욱 1
 
2.8%
이정래 1
 
2.8%
원동춘 1
 
2.8%
김진숙 1
 
2.8%
위숙현 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T19:08:44.447978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
8.3%
이 8
 
7.4%
숙 5
 
4.6%
영 4
 
3.7%
호 3
 
2.8%
윤 3
 
2.8%
경 3
 
2.8%
정 3
 
2.8%
주 3
 
2.8%
희 3
 
2.8%
Other values (51) 64
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
8.3%
이 8
 
7.4%
숙 5
 
4.6%
영 4
 
3.7%
호 3
 
2.8%
윤 3
 
2.8%
경 3
 
2.8%
정 3
 
2.8%
주 3
 
2.8%
희 3
 
2.8%
Other values (51) 64
59.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
8.3%
이 8
 
7.4%
숙 5
 
4.6%
영 4
 
3.7%
호 3
 
2.8%
윤 3
 
2.8%
경 3
 
2.8%
정 3
 
2.8%
주 3
 
2.8%
희 3
 
2.8%
Other values (51) 64
59.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
8.3%
이 8
 
7.4%
숙 5
 
4.6%
영 4
 
3.7%
호 3
 
2.8%
윤 3
 
2.8%
경 3
 
2.8%
정 3
 
2.8%
주 3
 
2.8%
희 3
 
2.8%
Other values (51) 64
59.3%

원장명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T19:08:44.643736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters108
Distinct characters56
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

Unique36 ?
Unique (%)100.0%

Sample

1st row심수용
2nd row손민정
3rd row이계화
4th row정희라
5th row이명희
ValueCountFrequency (%)
심수용 1
 
2.8%
손민정 1
 
2.8%
김순주 1
 
2.8%
김문환 1
 
2.8%
홍승현 1
 
2.8%
신수경 1
 
2.8%
이정래 1
 
2.8%
조은주 1
 
2.8%
김진숙 1
 
2.8%
위숙현 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T19:08:45.013430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
6.5%
김 6
 
5.6%
정 5
 
4.6%
숙 5
 
4.6%
희 5
 
4.6%
주 4
 
3.7%
은 4
 
3.7%
현 3
 
2.8%
최 3
 
2.8%
호 3
 
2.8%
Other values (46) 63
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
6.5%
김 6
 
5.6%
정 5
 
4.6%
숙 5
 
4.6%
희 5
 
4.6%
주 4
 
3.7%
은 4
 
3.7%
현 3
 
2.8%
최 3
 
2.8%
호 3
 
2.8%
Other values (46) 63
58.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
6.5%
김 6
 
5.6%
정 5
 
4.6%
숙 5
 
4.6%
희 5
 
4.6%
주 4
 
3.7%
은 4
 
3.7%
현 3
 
2.8%
최 3
 
2.8%
호 3
 
2.8%
Other values (46) 63
58.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
6.5%
김 6
 
5.6%
정 5
 
4.6%
숙 5
 
4.6%
희 5
 
4.6%
주 4
 
3.7%
은 4
 
3.7%
현 3
 
2.8%
최 3
 
2.8%
호 3
 
2.8%
Other values (46) 63
58.3%

설립일
Real number (ℝ)

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20002249
Minimum19770313
Maximum20230301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T19:08:45.185406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19770313
5-th percentile19830112
Q119907967
median19965504
Q320122807
95-th percentile20220301
Maximum20230301
Range459988
Interquartile range (IQR)214840.25

Descriptive statistics

Standard deviation136811.98
Coefficient of variation (CV)0.0068398301
Kurtosis-1.0832327
Mean20002249
Median Absolute Deviation (MAD)75056
Skewness0.3492838
Sum7.2008096 × 108
Variance1.8717519 × 1010
MonotonicityNot monotonic
2024-03-13T19:08:45.327277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20220301 2
 
5.6%
20200301 2
 
5.6%
20001129 1
 
2.8%
19960902 1
 
2.8%
19910724 1
 
2.8%
19901229 1
 
2.8%
20031230 1
 
2.8%
20120301 1
 
2.8%
19770313 1
 
2.8%
19850902 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
19770313 1
2.8%
19800119 1
2.8%
19840109 1
2.8%
19840113 1
2.8%
19850121 1
2.8%
19850902 1
2.8%
19890317 1
2.8%
19900221 1
2.8%
19901229 1
2.8%
19910213 1
2.8%
ValueCountFrequency (%)
20230301 1
2.8%
20220301 2
5.6%
20210108 1
2.8%
20201231 1
2.8%
20200301 2
5.6%
20161230 1
2.8%
20130326 1
2.8%
20120301 1
2.8%
20091125 1
2.8%
20040429 1
2.8%

개원일
Real number (ℝ)

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20010240
Minimum19770313
Maximum20230301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T19:08:45.449826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19770313
5-th percentile19830114
Q119907967
median19985318
Q320130472
95-th percentile20220301
Maximum20230301
Range459988
Interquartile range (IQR)222504.75

Descriptive statistics

Standard deviation138371.38
Coefficient of variation (CV)0.0069150288
Kurtosis-1.1827202
Mean20010240
Median Absolute Deviation (MAD)104992.5
Skewness0.22674875
Sum7.2036862 × 108
Variance1.9146639 × 1010
MonotonicityNot monotonic
2024-03-13T19:08:45.588352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20200301 2
 
5.6%
20210305 2
 
5.6%
20220302 1
 
2.8%
19770313 1
 
2.8%
19960902 1
 
2.8%
19910620 1
 
2.8%
19901229 1
 
2.8%
20040512 1
 
2.8%
20120301 1
 
2.8%
19850902 1
 
2.8%
Other values (24) 24
66.7%
ValueCountFrequency (%)
19770313 1
2.8%
19800119 1
2.8%
19840113 1
2.8%
19840302 1
2.8%
19850121 1
2.8%
19850902 1
2.8%
19890317 1
2.8%
19900221 1
2.8%
19901229 1
2.8%
19910213 1
2.8%
ValueCountFrequency (%)
20230301 1
2.8%
20220302 1
2.8%
20220301 1
2.8%
20210305 2
5.6%
20200301 2
5.6%
20180301 1
2.8%
20130909 1
2.8%
20130326 1
2.8%
20120301 1
2.8%
20100302 1
2.8%

주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T19:08:45.787853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.805556
Min length17

Characters and Unicode

Total characters677
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

Unique32 ?
Unique (%)88.9%

Sample

1st row서울특별시 도봉구 노해로70길 96
2nd row서울특별시 도봉구 우이천로32길 38
3rd row서울특별시 도봉구 시루봉로6길 86
4th row서울특별시 도봉구 해등로 241
5th row서울특별시 도봉구 도봉로180나길 33-29
ValueCountFrequency (%)
서울특별시 36
25.0%
도봉구 36
25.0%
해등로 5
 
3.5%
마들로 4
 
2.8%
96 2
 
1.4%
101 2
 
1.4%
시루봉로 2
 
1.4%
노해로 2
 
1.4%
567 2
 
1.4%
도당로6길 2
 
1.4%
Other values (50) 51
35.4%
2024-03-13T19:08:46.118858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.0%
봉 43
 
6.4%
도 42
 
6.2%
시 39
 
5.8%
서 36
 
5.3%
구 36
 
5.3%
울 36
 
5.3%
별 36
 
5.3%
특 36
 
5.3%
로 35
 
5.2%
Other values (33) 230
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
62.8%
Decimal Number 137
 
20.2%
Space Separator 108
 
16.0%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%
Decimal Number
ValueCountFrequency (%)
1 28
20.4%
6 21
15.3%
3 15
10.9%
2 14
10.2%
9 13
9.5%
4 12
8.8%
7 11
 
8.0%
0 10
 
7.3%
8 7
 
5.1%
5 6
 
4.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
62.8%
Common 252
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%
Common
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
62.8%
ASCII 252
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%
Hangul
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%

전화번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T19:08:46.313629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.138889
Min length9

Characters and Unicode

Total characters401
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

Unique36 ?
Unique (%)100.0%

Sample

1st row029038020
2nd row02-904-6248
3rd row02-900-8001
4th row02-906-1614
5th row02-954-7771
ValueCountFrequency (%)
029038020 1
 
2.8%
02-904-6248 1
 
2.8%
02-3493-9236 1
 
2.8%
02-907-8224 1
 
2.8%
02-997-5164~5 1
 
2.8%
02-956-5000 1
 
2.8%
02-994-7782 1
 
2.8%
02-994-4620 1
 
2.8%
02-992-8503 1
 
2.8%
02-954-2050 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T19:08:46.662862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75
18.7%
- 68
17.0%
2 59
14.7%
9 51
12.7%
1 31
7.7%
8 22
 
5.5%
6 22
 
5.5%
4 21
 
5.2%
5 19
 
4.7%
7 19
 
4.7%
Other values (2) 14
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 332
82.8%
Dash Punctuation 68
 
17.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
22.6%
2 59
17.8%
9 51
15.4%
1 31
9.3%
8 22
 
6.6%
6 22
 
6.6%
4 21
 
6.3%
5 19
 
5.7%
7 19
 
5.7%
3 13
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75
18.7%
- 68
17.0%
2 59
14.7%
9 51
12.7%
1 31
7.7%
8 22
 
5.5%
6 22
 
5.5%
4 21
 
5.2%
5 19
 
4.7%
7 19
 
4.7%
Other values (2) 14
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75
18.7%
- 68
17.0%
2 59
14.7%
9 51
12.7%
1 31
7.7%
8 22
 
5.5%
6 22
 
5.5%
4 21
 
5.2%
5 19
 
4.7%
7 19
 
4.7%
Other values (2) 14
 
3.5%

홈페이지
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing9
Missing (%)25.0%
Memory size420.0 B
2024-03-13T19:08:46.897416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length27.703704
Min length16

Characters and Unicode

Total characters748
Distinct characters49
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowhttps://wol.sen.es.kr
2nd rowhttps://www.instagram.com/sunheekinder/
3rd rowhttp://www.seulgi.co.kr
4th rowhttps://bona.kidswon.com/
5th rowhttp://www.jeongeui.kg.kr/main/main.html
ValueCountFrequency (%)
https://wol.sen.es.kr 1
 
3.7%
https://www.한사랑유치원.kr:475/home 1
 
3.7%
http://mdkd.kg.kr 1
 
3.7%
https://obong.sen.es.kr/194208/submenu.do 1
 
3.7%
http://www.서울방학.kr 1
 
3.7%
https://seoulgain.sen.es.kr/189877/submenu.do 1
 
3.7%
https://ssangmun.sen.es.kr 1
 
3.7%
https://seoulsinhak.sen.es.kr 1
 
3.7%
http://jayeoni.kidis.co.kr 1
 
3.7%
http://nrk.or.kr 1
 
3.7%
Other values (17) 17
63.0%
2024-03-13T19:08:47.298520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 73
 
9.8%
. 71
 
9.5%
t 59
 
7.9%
s 53
 
7.1%
n 43
 
5.7%
h 40
 
5.3%
e 39
 
5.2%
k 34
 
4.5%
o 32
 
4.3%
w 30
 
4.0%
Other values (39) 274
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 530
70.9%
Other Punctuation 173
 
23.1%
Decimal Number 27
 
3.6%
Other Letter 15
 
2.0%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 59
11.1%
s 53
 
10.0%
n 43
 
8.1%
h 40
 
7.5%
e 39
 
7.4%
k 34
 
6.4%
o 32
 
6.0%
w 30
 
5.7%
p 27
 
5.1%
r 27
 
5.1%
Other values (14) 146
27.5%
Other Letter
ValueCountFrequency (%)
유 2
13.3%
치 2
13.3%
원 2
13.3%
학 1
6.7%
방 1
6.7%
울 1
6.7%
서 1
6.7%
사 1
6.7%
랑 1
6.7%
한 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
0 6
22.2%
8 4
14.8%
4 4
14.8%
7 4
14.8%
1 3
11.1%
2 2
 
7.4%
5 2
 
7.4%
9 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
/ 73
42.2%
. 71
41.0%
: 29
 
16.8%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 532
71.1%
Common 201
 
26.9%
Hangul 15
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 59
 
11.1%
s 53
 
10.0%
n 43
 
8.1%
h 40
 
7.5%
e 39
 
7.3%
k 34
 
6.4%
o 32
 
6.0%
w 30
 
5.6%
p 27
 
5.1%
r 27
 
5.1%
Other values (15) 148
27.8%
Common
ValueCountFrequency (%)
/ 73
36.3%
. 71
35.3%
: 29
 
14.4%
0 6
 
3.0%
8 4
 
2.0%
4 4
 
2.0%
7 4
 
2.0%
1 3
 
1.5%
2 2
 
1.0%
5 2
 
1.0%
Other values (2) 3
 
1.5%
Hangul
ValueCountFrequency (%)
유 2
13.3%
치 2
13.3%
원 2
13.3%
학 1
6.7%
방 1
6.7%
울 1
6.7%
서 1
6.7%
사 1
6.7%
랑 1
6.7%
한 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 733
98.0%
Hangul 15
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 73
 
10.0%
. 71
 
9.7%
t 59
 
8.0%
s 53
 
7.2%
n 43
 
5.9%
h 40
 
5.5%
e 39
 
5.3%
k 34
 
4.6%
o 32
 
4.4%
w 30
 
4.1%
Other values (27) 259
35.3%
Hangul
ValueCountFrequency (%)
유 2
13.3%
치 2
13.3%
원 2
13.3%
학 1
6.7%
방 1
6.7%
울 1
6.7%
서 1
6.7%
사 1
6.7%
랑 1
6.7%
한 1
6.7%
Other values (2) 2
13.3%

운영시간
Categorical

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
07시30분~19시30분
13 
09시00분~17시00분
4 
08시00분~18시30분
2 
07시00분~20시00분
2 
07시30분~19시00분
2 
Other values (10)
13 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique7 ?
Unique (%)19.4%

Sample

1st row07시30분~19시30분
2nd row08시00분~18시00분
3rd row07시30분~19시30분
4th row08시00분~18시30분
5th row07시00분~22시00분

Common Values

ValueCountFrequency (%)
07시30분~19시30분 13
36.1%
09시00분~17시00분 4
 
11.1%
08시00분~18시30분 2
 
5.6%
07시00분~20시00분 2
 
5.6%
07시30분~19시00분 2
 
5.6%
09시00분~19시00분 2
 
5.6%
09시00분~19시30분 2
 
5.6%
08시00분~20시00분 2
 
5.6%
08시00분~18시00분 1
 
2.8%
07시00분~22시00분 1
 
2.8%
Other values (5) 5
 
13.9%

Length

2024-03-13T19:08:47.469732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시30분~19시30분 13
36.1%
09시00분~17시00분 4
 
11.1%
08시00분~18시30분 2
 
5.6%
07시00분~20시00분 2
 
5.6%
07시30분~19시00분 2
 
5.6%
09시00분~19시00분 2
 
5.6%
09시00분~19시30분 2
 
5.6%
08시00분~20시00분 2
 
5.6%
08시00분~18시00분 1
 
2.8%
07시00분~22시00분 1
 
2.8%
Other values (5) 5
 
13.9%

만3세학급수
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
21 
2
8 
<NA>
5 
3
 
2

Length

Max length4
Median length1
Mean length1.4166667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
58.3%
2 8
 
22.2%
<NA> 5
 
13.9%
3 2
 
5.6%

Length

2024-03-13T19:08:47.625706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:47.738442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
58.3%
2 8
 
22.2%
na 5
 
13.9%
3 2
 
5.6%

만4세학급수
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
18 
2
9 
<NA>
5 
3
4 

Length

Max length4
Median length1
Mean length1.4166667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
50.0%
2 9
25.0%
<NA> 5
 
13.9%
3 4
 
11.1%

Length

2024-03-13T19:08:47.864294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:47.971845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
50.0%
2 9
25.0%
na 5
 
13.9%
3 4
 
11.1%

만5세학급수
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
17 
2
13 
<NA>
3 
3
2 
4
 
1

Length

Max length4
Median length1
Mean length1.25
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
47.2%
2 13
36.1%
<NA> 3
 
8.3%
3 2
 
5.6%
4 1
 
2.8%

Length

2024-03-13T19:08:48.345938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:48.455257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
47.2%
2 13
36.1%
na 3
 
8.3%
3 2
 
5.6%
4 1
 
2.8%

혼합학급수
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
29 
1
6 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
80.6%
1 6
 
16.7%
2 1
 
2.8%

Length

2024-03-13T19:08:48.595571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:48.709013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
1 6
 
16.7%
2 1
 
2.8%

특수학급수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
32 
1
4 

Length

Max length4
Median length4
Mean length3.6666667
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> 32
88.9%
1 4
 
11.1%

Length

2024-03-13T19:08:48.825790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:48.946298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
88.9%
1 4
 
11.1%

만3세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)61.3%
Missing5
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean19.677419
Minimum0
Maximum66
Zeros1
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T19:08:49.044161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median14
Q323.5
95-th percentile54
Maximum66
Range66
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation15.85431
Coefficient of variation (CV)0.80571083
Kurtosis2.6787409
Mean19.677419
Median Absolute Deviation (MAD)6
Skewness1.6318987
Sum610
Variance251.35914
MonotonicityNot monotonic
2024-03-13T19:08:49.164258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
14 4
11.1%
12 3
 
8.3%
18 2
 
5.6%
21 2
 
5.6%
9 2
 
5.6%
29 2
 
5.6%
11 2
 
5.6%
17 2
 
5.6%
2 2
 
5.6%
0 1
 
2.8%
Other values (9) 9
25.0%
(Missing) 5
13.9%
ValueCountFrequency (%)
0 1
 
2.8%
2 2
5.6%
5 1
 
2.8%
8 1
 
2.8%
9 2
5.6%
11 2
5.6%
12 3
8.3%
14 4
11.1%
17 2
5.6%
18 2
5.6%
ValueCountFrequency (%)
66 1
2.8%
63 1
2.8%
45 1
2.8%
43 1
2.8%
29 2
5.6%
27 1
2.8%
25 1
2.8%
22 1
2.8%
21 2
5.6%
18 2
5.6%

만4세유아수
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)83.9%
Missing5
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean28.709677
Minimum4
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T19:08:49.316891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.5
Q113.5
median24
Q340
95-th percentile65
Maximum79
Range75
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation19.694658
Coefficient of variation (CV)0.68599372
Kurtosis0.30525755
Mean28.709677
Median Absolute Deviation (MAD)12
Skewness0.94487348
Sum890
Variance387.87957
MonotonicityNot monotonic
2024-03-13T19:08:49.461683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
25 2
 
5.6%
12 2
 
5.6%
11 2
 
5.6%
17 2
 
5.6%
58 2
 
5.6%
41 1
 
2.8%
5 1
 
2.8%
34 1
 
2.8%
4 1
 
2.8%
20 1
 
2.8%
Other values (16) 16
44.4%
(Missing) 5
 
13.9%
ValueCountFrequency (%)
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
11 2
5.6%
12 2
5.6%
15 1
2.8%
17 2
5.6%
19 1
2.8%
20 1
2.8%
ValueCountFrequency (%)
79 1
2.8%
72 1
2.8%
58 2
5.6%
49 1
2.8%
47 1
2.8%
46 1
2.8%
41 1
2.8%
39 1
2.8%
36 1
2.8%
34 1
2.8%

만5세유아수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing3
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean31.242424
Minimum4
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T19:08:49.641733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.2
Q116
median23
Q342
95-th percentile78
Maximum85
Range81
Interquartile range (IQR)26

Descriptive statistics

Standard deviation21.163102
Coefficient of variation (CV)0.67738348
Kurtosis0.69499396
Mean31.242424
Median Absolute Deviation (MAD)14
Skewness1.058372
Sum1031
Variance447.87689
MonotonicityNot monotonic
2024-03-13T19:08:49.815085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
38 2
 
5.6%
12 2
 
5.6%
22 2
 
5.6%
46 2
 
5.6%
14 2
 
5.6%
37 2
 
5.6%
85 1
 
2.8%
19 1
 
2.8%
4 1
 
2.8%
24 1
 
2.8%
Other values (17) 17
47.2%
(Missing) 3
 
8.3%
ValueCountFrequency (%)
4 1
2.8%
6 1
2.8%
8 1
2.8%
9 1
2.8%
12 2
5.6%
14 2
5.6%
16 1
2.8%
17 1
2.8%
18 1
2.8%
19 1
2.8%
ValueCountFrequency (%)
85 1
2.8%
81 1
2.8%
76 1
2.8%
54 1
2.8%
53 1
2.8%
46 2
5.6%
44 1
2.8%
42 1
2.8%
39 1
2.8%
38 2
5.6%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum0
Maximum42
Zeros29
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T19:08:49.926338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22.25
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.8005682
Coefficient of variation (CV)2.7078671
Kurtosis11.133609
Mean3.25
Median Absolute Deviation (MAD)0
Skewness3.236786
Sum117
Variance77.45
MonotonicityNot monotonic
2024-03-13T19:08:50.032767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 29
80.6%
14 1
 
2.8%
6 1
 
2.8%
42 1
 
2.8%
1 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
0 29
80.6%
1 1
 
2.8%
6 1
 
2.8%
9 1
 
2.8%
14 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
42 1
 
2.8%
ValueCountFrequency (%)
42 1
 
2.8%
23 1
 
2.8%
22 1
 
2.8%
14 1
 
2.8%
9 1
 
2.8%
6 1
 
2.8%
1 1
 
2.8%
0 29
80.6%

특수유아수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
32 
5
 
2
4
 
2

Length

Max length4
Median length4
Mean length3.6666667
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> 32
88.9%
5 2
 
5.6%
4 2
 
5.6%

Length

2024-03-13T19:08:50.157964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:50.261613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
88.9%
5 2
 
5.6%
4 2
 
5.6%

공시차수
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20232
28 
20182
5 
20192
 
2
20212
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
20232 28
77.8%
20182 5
 
13.9%
20192 2
 
5.6%
20212 1
 
2.8%

Length

2024-03-13T19:08:50.364552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T19:08:50.454560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 28
77.8%
20182 5
 
13.9%
20192 2
 
5.6%
20212 1
 
2.8%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)심수용심수용2022030120220302서울특별시 도봉구 노해로70길 96029038020https://wol.sen.es.kr07시30분~19시30분1110<NA>81780<NA>20232
1서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)김명희손민정1991021319910213서울특별시 도봉구 우이천로32길 3802-904-6248<NA>08시00분~18시00분1220<NA>1749440<NA>20232
2서울특별시교육청북부교육지원청1ecec08c-ee11-b044-e053-0a32095ab044행복한유치원사립(사인)이계화이계화2004042920040429서울특별시 도봉구 시루봉로6길 8602-900-8001<NA>07시30분~19시30분2110<NA>2117180<NA>20232
3서울특별시교육청북부교육지원청1ecec08c-eecf-b044-e053-0a32095ab044선희유치원사립(사인)정소영정희라1990022119900221서울특별시 도봉구 해등로 24102-906-1614https://www.instagram.com/sunheekinder/08시00분~18시30분1110<NA>921170<NA>20232
4서울특별시교육청북부교육지원청1ecec08c-eed0-b044-e053-0a32095ab044슬기유치원사립(사인)김신영이명희2000052920000529서울특별시 도봉구 도봉로180나길 33-2902-954-7771http://www.seulgi.co.kr07시00분~22시00분3230<NA>6358760<NA>20232
5서울특별시교육청북부교육지원청1ecec08c-efcc-b044-e053-0a32095ab044보나유치원사립(사인)최경희최아람1993030819930501서울특별시 도봉구 해등로 30702-956-3197https://bona.kidswon.com/07시00분~20시00분1120<NA>1425380<NA>20232
6서울특별시교육청북부교육지원청1ecec08c-efd9-b044-e053-0a32095ab044정의유치원사립(법인)윤남훈김영희1980011919800119서울특별시 도봉구 노해로49길 6902-992-5108http://www.jeongeui.kg.kr/main/main.html07시30분~19시00분2320<NA>2958390<NA>20232
7서울특별시교육청북부교육지원청1ecec08c-efda-b044-e053-0a32095ab044청아유치원사립(사인)이민숙최은정1993121619931216서울특별시 도봉구 노해로69가길 1102-907-3811https://cheonga.kidsnote.ac07시30분~19시30분1210<NA>1441200<NA>20232
8서울특별시교육청북부교육지원청1ecec08c-f050-b044-e053-0a32095ab044예랑유치원사립(사인)김영란한숙화1991082820130909서울특별시 도봉구 해등로4길 902-991-0652http://www.yerangkid.com09시00분~19시00분1110<NA>915210<NA>20212
9서울특별시교육청북부교육지원청1ecec08c-f404-b044-e053-0a32095ab044다솜유치원사립(사인)홍성미홍성미1989031719890317서울특별시 도봉구 해등로 19502-900-5977<NA>09시00분~19시30분1330<NA>4579810<NA>20182
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
26서울특별시교육청북부교육지원청1ecec08d-0e2d-b044-e053-0a32095ab044나래유치원사립(사인)김춘태김순주2000112920001129서울특별시 도봉구 마들로 684-902-3493-9236http://nrk.or.kr07시30분~19시30분1110<NA>1412220<NA>20232
27서울특별시교육청북부교육지원청1ecec08d-0e36-b044-e053-0a32095ab044지현유치원사립(사인)위숙현위숙현1985090219850902서울특별시 도봉구 도봉산3길 2102-954-2050<NA>09시00분~20시00분1<NA><NA>1<NA>11<NA><NA>22<NA>20182
28서울특별시교육청북부교육지원청1ecec08d-0ec5-b044-e053-0a32095ab044자연아이유치원사립(사인)윤길순윤길순2013032620130326서울특별시 도봉구 도당로6길 14-1102-3492-8915http://jayeoni.kidis.co.kr09시00분~17시00분2221<NA>29364623<NA>20192
29서울특별시교육청북부교육지원청6a9d51ce-eb32-4ff3-b2c8-16baa768c7ed서울신학초등학교병설유치원공립(병설)최광호최광호2016123020180301서울특별시 도봉구 방학로 247-2102-6011-8183https://seoulsinhak.sen.es.kr07시30분~19시30분1110<NA>117140<NA>20232
30서울특별시교육청북부교육지원청78c914ee-918a-42da-bb74-3214158a262e서울쌍문초등학교병설유치원공립(병설)임우재임우재2020123120210305서울특별시 도봉구 우이천로 36002-2088-2800https://ssangmun.sen.es.kr/07시30분~19시30분<NA>110<NA><NA>6120<NA>20232
31서울특별시교육청북부교육지원청86a6794b-12d6-4ee1-b47c-f03260e69af8서울가인초등학교병설유치원공립(병설)장해주장해주2022030120220301서울특별시 도봉구 도봉로136다길 402-997-0884https://seoulgain.sen.es.kr/189877/subMenu.do07시30분~19시30분1<NA><NA>1<NA>2<NA><NA>9<NA>20232
32서울특별시교육청북부교육지원청90accaf4-0b0f-42a0-bf14-dabb5c82db9f서울방학유치원공립(단설)권수경권수경2020030120200301서울특별시 도봉구 도당로6길 14-1102-3494-1100http://www.서울방학.kr07시30분~19시30분122011220240420232
33서울특별시교육청북부교육지원청9274b95a-f964-4434-aa72-f188312b1983서울오봉초등학교병설유치원공립(병설)이은미이은미2023030120230301서울특별시 도봉구 시루봉로 2850262112290https://obong.sen.es.kr/194208/subMenu.do07시30분~19시30분1110<NA>5440<NA>20232
34서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)이혜정이혜정2020030120200301서울특별시 도봉구 마들로 56702-992-1701http://mdkd.kg.kr/07시30분~19시30분122011434380420232
35서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)우숙경우숙경2021010820210305서울특별시 도봉구 노해로 17902-6956-6811http://sungmi.sen.es.kr/index.do07시00분~20시00분11101012190520232