Overview

Dataset statistics

Number of variables24
Number of observations34
Missing cells22
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory208.9 B

Variable types

Categorical10
Text8
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-20584/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (55.3%)Imbalance
특수학급수 is highly imbalanced (56.9%)Imbalance
특수유아수 is highly imbalanced (56.9%)Imbalance
홈페이지 has 8 (23.5%) missing valuesMissing
만3세유아수 has 4 (11.8%) missing valuesMissing
만4세유아수 has 6 (17.6%) missing valuesMissing
만5세유아수 has 4 (11.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대표자명 has unique valuesUnique
설립일 has unique valuesUnique
개원일 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
혼합유아수 has 28 (82.4%) zerosZeros

Reproduction

Analysis started2024-03-13 15:28:25.258354
Analysis finished2024-03-13 15:28:25.608571
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
서울특별시교육청
34 

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 34
100.0%

Length

2024-03-14T00:28:25.674657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:25.774605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 34
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
동부교육지원청
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부교육지원청 34
100.0%

Length

2024-03-14T00:28:25.892542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:25.998233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 34
100.0%

유치원코드
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:26.252925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1224
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

Unique34 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed83-b044-e053-0a32095ab044
2nd row1ecec08c-ee33-b044-e053-0a32095ab044
3rd row1ecec08c-efaa-b044-e053-0a32095ab044
4th row1ecec08c-f054-b044-e053-0a32095ab044
5th row1ecec08c-f1fc-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed83-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-ee33-b044-e053-0a32095ab044 1
 
2.9%
7e75b6b8-7dcb-4645-85e7-3656fce0c528 1
 
2.9%
663b5e8a-86f7-433a-bedd-f46a8bd1c7b1 1
 
2.9%
51d03296-c765-4e9c-900f-217f6a1d50f3 1
 
2.9%
1ecec08d-0d38-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0ca9-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0ca7-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-0c8c-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-fadc-b044-e053-0a32095ab044 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T00:28:26.715359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 683
55.8%
Lowercase Letter 405
33.1%
Dash Punctuation 136
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
30.5%
4 131
19.2%
3 78
 
11.4%
5 76
 
11.1%
8 47
 
6.9%
1 43
 
6.3%
9 39
 
5.7%
2 35
 
5.1%
7 13
 
1.9%
6 13
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 819
66.9%
Latin 405
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
25.4%
- 136
16.6%
4 131
16.0%
3 78
 
9.5%
5 76
 
9.3%
8 47
 
5.7%
1 43
 
5.3%
9 39
 
4.8%
2 35
 
4.3%
7 13
 
1.6%
Latin
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

유치원명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:26.919314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters238
Distinct characters65
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

Unique34 ?
Unique (%)100.0%

Sample

1st row새일문유치원
2nd row백주유치원
3rd row예일유치원
4th row삼성유치원
5th row서울전동초등학교병설유치원
ValueCountFrequency (%)
새일문유치원 1
 
2.9%
백주유치원 1
 
2.9%
서울전곡초등학교병설유치원 1
 
2.9%
정원유치원 1
 
2.9%
서울이문유치원 1
 
2.9%
경희유치원 1
 
2.9%
빛나유치원 1
 
2.9%
동안유치원 1
 
2.9%
서울군자초등학교병설유치원 1
 
2.9%
서울유치원 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T00:28:27.377429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
병 7
 
2.9%
설 7
 
2.9%
초 7
 
2.9%
등 7
 
2.9%
학 7
 
2.9%
Other values (55) 80
33.6%

설립유형
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
사립(사인)
20 
공립(병설)
7 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
58.8%
공립(병설) 7
 
20.6%
사립(법인) 5
 
14.7%
공립(단설) 2
 
5.9%

Length

2024-03-14T00:28:27.499880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:27.591679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
58.8%
공립(병설 7
 
20.6%
사립(법인 5
 
14.7%
공립(단설 2
 
5.9%

대표자명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:27.761410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.4117647
Min length2

Characters and Unicode

Total characters116
Distinct characters61
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

Unique34 ?
Unique (%)100.0%

Sample

1st row민영재
2nd row김재영
3rd row문순
4th row심성훈 권균자
5th row고연숙
ValueCountFrequency (%)
민영재 1
 
2.8%
박진희 1
 
2.8%
김창숙 1
 
2.8%
이규상 1
 
2.8%
황영희 1
 
2.8%
이현진 1
 
2.8%
윤경숙 1
 
2.8%
탁용균 1
 
2.8%
유재순 1
 
2.8%
김재영 1
 
2.8%
Other values (26) 26
72.2%
2024-03-14T00:28:28.070668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
숙 10
 
8.6%
이 7
 
6.0%
재 6
 
5.2%
정 6
 
5.2%
김 4
 
3.4%
경 4
 
3.4%
현 3
 
2.6%
진 3
 
2.6%
희 3
 
2.6%
순 3
 
2.6%
Other values (51) 67
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
98.3%
Space Separator 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숙 10
 
8.8%
이 7
 
6.1%
재 6
 
5.3%
정 6
 
5.3%
김 4
 
3.5%
경 4
 
3.5%
현 3
 
2.6%
진 3
 
2.6%
희 3
 
2.6%
순 3
 
2.6%
Other values (50) 65
57.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
98.3%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숙 10
 
8.8%
이 7
 
6.1%
재 6
 
5.3%
정 6
 
5.3%
김 4
 
3.5%
경 4
 
3.5%
현 3
 
2.6%
진 3
 
2.6%
희 3
 
2.6%
순 3
 
2.6%
Other values (50) 65
57.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
98.3%
ASCII 2
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
숙 10
 
8.8%
이 7
 
6.1%
재 6
 
5.3%
정 6
 
5.3%
김 4
 
3.5%
경 4
 
3.5%
현 3
 
2.6%
진 3
 
2.6%
희 3
 
2.6%
순 3
 
2.6%
Other values (50) 65
57.0%
ASCII
ValueCountFrequency (%)
2
100.0%

원장명
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:28.262818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters51
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

Unique32 ?
Unique (%)94.1%

Sample

1st row심옥자
2nd row이명숙
3rd row서수진
4th row정애림
5th row고연숙
ValueCountFrequency (%)
이명숙 2
 
5.9%
이현란 1
 
2.9%
김창숙 1
 
2.9%
오임숙 1
 
2.9%
이병재 1
 
2.9%
전봉옥 1
 
2.9%
김경희 1
 
2.9%
서정석 1
 
2.9%
심옥자 1
 
2.9%
송지숙 1
 
2.9%
Other values (23) 23
67.6%
2024-03-14T00:28:28.574871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
숙 12
 
11.8%
이 8
 
7.8%
김 5
 
4.9%
진 4
 
3.9%
경 4
 
3.9%
현 4
 
3.9%
정 3
 
2.9%
희 3
 
2.9%
미 3
 
2.9%
서 2
 
2.0%
Other values (41) 54
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숙 12
 
11.8%
이 8
 
7.8%
김 5
 
4.9%
진 4
 
3.9%
경 4
 
3.9%
현 4
 
3.9%
정 3
 
2.9%
희 3
 
2.9%
미 3
 
2.9%
서 2
 
2.0%
Other values (41) 54
52.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숙 12
 
11.8%
이 8
 
7.8%
김 5
 
4.9%
진 4
 
3.9%
경 4
 
3.9%
현 4
 
3.9%
정 3
 
2.9%
희 3
 
2.9%
미 3
 
2.9%
서 2
 
2.0%
Other values (41) 54
52.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
숙 12
 
11.8%
이 8
 
7.8%
김 5
 
4.9%
진 4
 
3.9%
경 4
 
3.9%
현 4
 
3.9%
정 3
 
2.9%
희 3
 
2.9%
미 3
 
2.9%
서 2
 
2.0%
Other values (41) 54
52.9%

설립일
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19952596
Minimum19610324
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T00:28:28.696712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610324
5-th percentile19653265
Q119852963
median19980725
Q320035429
95-th percentile20177875
Maximum20220301
Range609977
Interquartile range (IQR)182466.25

Descriptive statistics

Standard deviation151366.03
Coefficient of variation (CV)0.0075862824
Kurtosis0.11844648
Mean19952596
Median Absolute Deviation (MAD)84576
Skewness-0.49439568
Sum6.7838825 × 108
Variance2.2911674 × 1010
MonotonicityNot monotonic
2024-03-14T00:28:28.816728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
19841103 1
 
2.9%
20070301 1
 
2.9%
19980301 1
 
2.9%
19850330 1
 
2.9%
20050105 1
 
2.9%
20060301 1
 
2.9%
19910110 1
 
2.9%
19860313 1
 
2.9%
19981125 1
 
2.9%
20001130 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
19610324 1
2.9%
19640522 1
2.9%
19660127 1
2.9%
19711123 1
2.9%
19820623 1
2.9%
19840929 1
2.9%
19841103 1
2.9%
19850330 1
2.9%
19850513 1
2.9%
19860313 1
2.9%
ValueCountFrequency (%)
20220301 1
2.9%
20190430 1
2.9%
20171115 1
2.9%
20170518 1
2.9%
20131125 1
2.9%
20070301 1
2.9%
20060301 1
2.9%
20050105 1
2.9%
20040501 1
2.9%
20020214 1
2.9%

개원일
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19958470
Minimum19610324
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T00:28:28.942102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610324
5-th percentile19653293
Q119852964
median19990713
Q320040961
95-th percentile20183941
Maximum20220301
Range609977
Interquartile range (IQR)187996.25

Descriptive statistics

Standard deviation151837.52
Coefficient of variation (CV)0.0076076734
Kurtosis0.16356779
Mean19958470
Median Absolute Deviation (MAD)74803
Skewness-0.57428334
Sum6.7858797 × 108
Variance2.3054632 × 1010
MonotonicityNot monotonic
2024-03-14T00:28:29.055552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
19841104 1
 
2.9%
20070522 1
 
2.9%
19980402 1
 
2.9%
19850330 1
 
2.9%
20050307 1
 
2.9%
20060510 1
 
2.9%
19910111 1
 
2.9%
19860313 1
 
2.9%
19990308 1
 
2.9%
20010301 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
19610324 1
2.9%
19640601 1
2.9%
19660127 1
2.9%
19720928 1
2.9%
19820623 1
2.9%
19840929 1
2.9%
19841104 1
2.9%
19850330 1
2.9%
19850515 1
2.9%
19860313 1
2.9%
ValueCountFrequency (%)
20220301 1
2.9%
20190701 1
2.9%
20180301 1
2.9%
20170901 1
2.9%
20131125 1
2.9%
20070522 1
2.9%
20060510 1
2.9%
20050307 1
2.9%
20041114 1
2.9%
20040501 1
2.9%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:29.272587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.441176
Min length17

Characters and Unicode

Total characters661
Distinct characters57
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 장한로 165
2nd row서울특별시 동대문구 서울시립대로18길 19
3rd row서울특별시 동대문구 사가정로 190
4th row서울특별시 동대문구 사가정로 65
5th row서울특별시 동대문구 전농로16길 61
ValueCountFrequency (%)
서울특별시 34
25.0%
동대문구 34
25.0%
사가정로 4
 
2.9%
21 2
 
1.5%
20 2
 
1.5%
장안벚꽃로 2
 
1.5%
고산자로 2
 
1.5%
47 2
 
1.5%
전농로 1
 
0.7%
172 1
 
0.7%
Other values (52) 52
38.2%
2024-03-14T00:28:29.645966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
15.4%
대 36
 
5.4%
시 36
 
5.4%
문 36
 
5.4%
서 35
 
5.3%
울 35
 
5.3%
구 34
 
5.1%
로 34
 
5.1%
동 34
 
5.1%
별 34
 
5.1%
Other values (47) 245
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
67.5%
Decimal Number 112
 
16.9%
Space Separator 102
 
15.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%
Decimal Number
ValueCountFrequency (%)
1 21
18.8%
2 17
15.2%
6 15
13.4%
5 11
9.8%
4 10
8.9%
3 10
8.9%
7 8
 
7.1%
8 7
 
6.2%
0 7
 
6.2%
9 6
 
5.4%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
67.5%
Common 215
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%
Common
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
67.5%
ASCII 215
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
대 36
 
8.1%
시 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
구 34
 
7.6%
로 34
 
7.6%
동 34
 
7.6%
별 34
 
7.6%
특 34
 
7.6%
Other values (35) 98
22.0%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:29.841788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.647059
Min length11

Characters and Unicode

Total characters396
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

Unique34 ?
Unique (%)100.0%

Sample

1st row02-2212-6229
2nd row02-2249-5170
3rd row02-2215-0084
4th row02-2213-0080
5th row02-2214-1528
ValueCountFrequency (%)
02-2212-6229 1
 
2.9%
02-2249-5170 1
 
2.9%
02-2244-3254 1
 
2.9%
02)3390-9940 1
 
2.9%
02-959-2023 1
 
2.9%
02-967-0907 1
 
2.9%
02-2212-0406 1
 
2.9%
02-957-1830 1
 
2.9%
02-2212-8456 1
 
2.9%
02-959-9411 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T00:28:30.165120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 88
22.2%
- 67
16.9%
0 61
15.4%
3 31
 
7.8%
1 30
 
7.6%
9 26
 
6.6%
4 24
 
6.1%
5 23
 
5.8%
6 22
 
5.6%
8 13
 
3.3%
Other values (2) 11
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
82.8%
Dash Punctuation 67
 
16.9%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 88
26.8%
0 61
18.6%
3 31
 
9.5%
1 30
 
9.1%
9 26
 
7.9%
4 24
 
7.3%
5 23
 
7.0%
6 22
 
6.7%
8 13
 
4.0%
7 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 88
22.2%
- 67
16.9%
0 61
15.4%
3 31
 
7.8%
1 30
 
7.6%
9 26
 
6.6%
4 24
 
6.1%
5 23
 
5.8%
6 22
 
5.6%
8 13
 
3.3%
Other values (2) 11
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 88
22.2%
- 67
16.9%
0 61
15.4%
3 31
 
7.8%
1 30
 
7.6%
9 26
 
6.6%
4 24
 
6.1%
5 23
 
5.8%
6 22
 
5.6%
8 13
 
3.3%
Other values (2) 11
 
2.8%

홈페이지
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing8
Missing (%)23.5%
Memory size404.0 B
2024-03-14T00:28:30.383866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30.5
Mean length27.423077
Min length19

Characters and Unicode

Total characters713
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st rowhttp://cafe.naver.com/saeilmoon
2nd rowhttp://cafe.daum.net/baekjukids
3rd rowhttps://jeondong.sen.es.kr
4th rowhttp://www.hwykyung.kg.kr/
5th rowhttp://cafe.naver.com/hanyangkg
ValueCountFrequency (%)
https://cafe.daum.net/sowha921 1
 
3.8%
https://jeondong.sen.es.kr 1
 
3.8%
http://cafe.naver.com/grimmkid 1
 
3.8%
https://jeongok.sen.es.kr 1
 
3.8%
http://cafe.naver.com/jokindergarten 1
 
3.8%
http://www.imunk.co.kr 1
 
3.8%
http://www.khu.kg.kr 1
 
3.8%
http://dongkid.org 1
 
3.8%
http://www.kunja.kg.kr 1
 
3.8%
http://www.dapsimni.kg.kr 1
 
3.8%
Other values (16) 16
61.5%
2024-03-14T00:28:31.061933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 70
 
9.8%
. 62
 
8.7%
t 57
 
8.0%
e 44
 
6.2%
a 39
 
5.5%
n 38
 
5.3%
h 33
 
4.6%
k 32
 
4.5%
p 30
 
4.2%
o 30
 
4.2%
Other values (23) 278
39.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 541
75.9%
Other Punctuation 158
 
22.2%
Decimal Number 13
 
1.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 57
 
10.5%
e 44
 
8.1%
a 39
 
7.2%
n 38
 
7.0%
h 33
 
6.1%
k 32
 
5.9%
p 30
 
5.5%
o 30
 
5.5%
w 28
 
5.2%
s 28
 
5.2%
Other values (13) 182
33.6%
Decimal Number
ValueCountFrequency (%)
0 4
30.8%
1 3
23.1%
2 2
15.4%
7 2
15.4%
9 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 70
44.3%
. 62
39.2%
: 26
 
16.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 541
75.9%
Common 172
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 57
 
10.5%
e 44
 
8.1%
a 39
 
7.2%
n 38
 
7.0%
h 33
 
6.1%
k 32
 
5.9%
p 30
 
5.5%
o 30
 
5.5%
w 28
 
5.2%
s 28
 
5.2%
Other values (13) 182
33.6%
Common
ValueCountFrequency (%)
/ 70
40.7%
. 62
36.0%
: 26
 
15.1%
0 4
 
2.3%
1 3
 
1.7%
2 2
 
1.2%
7 2
 
1.2%
9 1
 
0.6%
3 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 70
 
9.8%
. 62
 
8.7%
t 57
 
8.0%
e 44
 
6.2%
a 39
 
5.5%
n 38
 
5.3%
h 33
 
4.6%
k 32
 
4.5%
p 30
 
4.2%
o 30
 
4.2%
Other values (23) 278
39.0%

운영시간
Text

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T00:28:31.232616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters442
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)32.4%

Sample

1st row07시30분~19시30분
2nd row08시00분~19시00분
3rd row08시00분~18시00분
4th row08시00분~18시30분
5th row07시20분~19시40분
ValueCountFrequency (%)
07시30분~19시30분 7
20.6%
08시00분~20시00분 3
 
8.8%
09시00분~18시30분 3
 
8.8%
07시00분~20시00분 2
 
5.9%
08시00분~19시00분 2
 
5.9%
09시00분~18시00분 2
 
5.9%
07시00분~19시00분 2
 
5.9%
09시00분~20시00분 2
 
5.9%
07시20분~19시40분 1
 
2.9%
09시30분~19시00분 1
 
2.9%
Other values (9) 9
26.5%
2024-03-14T00:28:31.538677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 151
34.2%
시 68
15.4%
분 68
15.4%
~ 34
 
7.7%
1 26
 
5.9%
9 26
 
5.9%
3 22
 
5.0%
8 18
 
4.1%
7 16
 
3.6%
2 11
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 272
61.5%
Other Letter 136
30.8%
Math Symbol 34
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
55.5%
1 26
 
9.6%
9 26
 
9.6%
3 22
 
8.1%
8 18
 
6.6%
7 16
 
5.9%
2 11
 
4.0%
4 2
 
0.7%
Other Letter
ValueCountFrequency (%)
시 68
50.0%
분 68
50.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
69.2%
Hangul 136
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 151
49.3%
~ 34
 
11.1%
1 26
 
8.5%
9 26
 
8.5%
3 22
 
7.2%
8 18
 
5.9%
7 16
 
5.2%
2 11
 
3.6%
4 2
 
0.7%
Hangul
ValueCountFrequency (%)
시 68
50.0%
분 68
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
69.2%
Hangul 136
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 151
49.3%
~ 34
 
11.1%
1 26
 
8.5%
9 26
 
8.5%
3 22
 
7.2%
8 18
 
5.9%
7 16
 
5.2%
2 11
 
3.6%
4 2
 
0.7%
Hangul
ValueCountFrequency (%)
시 68
50.0%
분 68
50.0%

만3세학급수
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
1
15 
2
13 
<NA>
4 
3
2 

Length

Max length4
Median length1
Mean length1.3529412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
44.1%
2 13
38.2%
<NA> 4
 
11.8%
3 2
 
5.9%

Length

2024-03-14T00:28:31.700270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:31.822061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
44.1%
2 13
38.2%
na 4
 
11.8%
3 2
 
5.9%

만4세학급수
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
1
15 
2
10 
<NA>
6 
3
2 
4
 
1

Length

Max length4
Median length1
Mean length1.5294118
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
44.1%
2 10
29.4%
<NA> 6
 
17.6%
3 2
 
5.9%
4 1
 
2.9%

Length

2024-03-14T00:28:31.936721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:32.051403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
44.1%
2 10
29.4%
na 6
 
17.6%
3 2
 
5.9%
4 1
 
2.9%

만5세학급수
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
2
15 
1
13 
<NA>
4 
3
2 

Length

Max length4
Median length1
Mean length1.3529412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 15
44.1%
1 13
38.2%
<NA> 4
 
11.8%
3 2
 
5.9%

Length

2024-03-14T00:28:32.155660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:32.255849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 15
44.1%
1 13
38.2%
na 4
 
11.8%
3 2
 
5.9%

혼합학급수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
0
28 
1
4 
2
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
82.4%
1 4
 
11.8%
2 1
 
2.9%
3 1
 
2.9%

Length

2024-03-14T00:28:32.351014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:32.444104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
82.4%
1 4
 
11.8%
2 1
 
2.9%
3 1
 
2.9%

특수학급수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
31 
1
 
3

Length

Max length4
Median length4
Mean length3.7352941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
91.2%
1 3
 
8.8%

Length

2024-03-14T00:28:32.562222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:32.661009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
91.2%
1 3
 
8.8%

만3세유아수
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)83.3%
Missing4
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean24.433333
Minimum5
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T00:28:32.745767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q19.25
median22
Q336.25
95-th percentile52.15
Maximum69
Range64
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.914967
Coefficient of variation (CV)0.69229058
Kurtosis0.12334174
Mean24.433333
Median Absolute Deviation (MAD)13.5
Skewness0.81141706
Sum733
Variance286.11609
MonotonicityNot monotonic
2024-03-14T00:28:32.855471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 3
 
8.8%
6 3
 
8.8%
32 2
 
5.9%
11 1
 
2.9%
5 1
 
2.9%
16 1
 
2.9%
38 1
 
2.9%
27 1
 
2.9%
44 1
 
2.9%
9 1
 
2.9%
Other values (15) 15
44.1%
(Missing) 4
 
11.8%
ValueCountFrequency (%)
5 1
 
2.9%
6 3
8.8%
8 3
8.8%
9 1
 
2.9%
10 1
 
2.9%
11 1
 
2.9%
12 1
 
2.9%
13 1
 
2.9%
16 1
 
2.9%
20 1
 
2.9%
ValueCountFrequency (%)
69 1
2.9%
58 1
2.9%
45 1
2.9%
44 1
2.9%
43 1
2.9%
40 1
2.9%
38 1
2.9%
37 1
2.9%
34 1
2.9%
32 2
5.9%

만4세유아수
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)75.0%
Missing6
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean29.75
Minimum7
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T00:28:32.960618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q115.75
median23.5
Q343.5
95-th percentile66.05
Maximum76
Range69
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation19.068347
Coefficient of variation (CV)0.64095284
Kurtosis0.16642337
Mean29.75
Median Absolute Deviation (MAD)10.5
Skewness0.94935772
Sum833
Variance363.60185
MonotonicityNot monotonic
2024-03-14T00:28:33.082636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8 3
 
8.8%
24 3
 
8.8%
45 2
 
5.9%
15 2
 
5.9%
20 2
 
5.9%
21 1
 
2.9%
39 1
 
2.9%
35 1
 
2.9%
54 1
 
2.9%
76 1
 
2.9%
Other values (11) 11
32.4%
(Missing) 6
17.6%
ValueCountFrequency (%)
7 1
 
2.9%
8 3
8.8%
14 1
 
2.9%
15 2
5.9%
16 1
 
2.9%
18 1
 
2.9%
20 2
5.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
ValueCountFrequency (%)
76 1
2.9%
72 1
2.9%
55 1
2.9%
54 1
2.9%
52 1
2.9%
45 2
5.9%
43 1
2.9%
39 1
2.9%
35 1
2.9%
30 1
2.9%

만5세유아수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)90.0%
Missing4
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean32.3
Minimum5
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T00:28:33.241396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.45
Q115.75
median34
Q345
95-th percentile58.65
Maximum73
Range68
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation18.487927
Coefficient of variation (CV)0.57238164
Kurtosis-0.93163588
Mean32.3
Median Absolute Deviation (MAD)15.5
Skewness0.25339655
Sum969
Variance341.80345
MonotonicityNot monotonic
2024-03-14T00:28:33.404848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
39 2
 
5.9%
45 2
 
5.9%
12 2
 
5.9%
9 1
 
2.9%
18 1
 
2.9%
20 1
 
2.9%
8 1
 
2.9%
36 1
 
2.9%
55 1
 
2.9%
32 1
 
2.9%
Other values (17) 17
50.0%
(Missing) 4
 
11.8%
ValueCountFrequency (%)
5 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
11 1
2.9%
12 2
5.9%
15 1
2.9%
18 1
2.9%
19 1
2.9%
20 1
2.9%
ValueCountFrequency (%)
73 1
2.9%
60 1
2.9%
57 1
2.9%
55 1
2.9%
54 1
2.9%
50 1
2.9%
48 1
2.9%
45 2
5.9%
44 1
2.9%
41 1
2.9%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6764706
Minimum0
Maximum55
Zeros28
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T00:28:33.522118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.5
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.815049
Coefficient of variation (CV)2.740325
Kurtosis10.193968
Mean4.6764706
Median Absolute Deviation (MAD)0
Skewness3.2208967
Sum159
Variance164.22549
MonotonicityNot monotonic
2024-03-14T00:28:33.638751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 28
82.4%
48 1
 
2.9%
18 1
 
2.9%
55 1
 
2.9%
11 1
 
2.9%
10 1
 
2.9%
17 1
 
2.9%
ValueCountFrequency (%)
0 28
82.4%
10 1
 
2.9%
11 1
 
2.9%
17 1
 
2.9%
18 1
 
2.9%
48 1
 
2.9%
55 1
 
2.9%
ValueCountFrequency (%)
55 1
 
2.9%
48 1
 
2.9%
18 1
 
2.9%
17 1
 
2.9%
11 1
 
2.9%
10 1
 
2.9%
0 28
82.4%

특수유아수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
31 
5
 
3

Length

Max length4
Median length4
Mean length3.7352941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 31
91.2%
5 3
 
8.8%

Length

2024-03-14T00:28:33.759814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:33.918852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
91.2%
5 3
 
8.8%

공시차수
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
20232
27 
20192
4 
20202
 
2
20182
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
20232 27
79.4%
20192 4
 
11.8%
20202 2
 
5.9%
20182 1
 
2.9%

Length

2024-03-14T00:28:34.081309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:28:34.172552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 27
79.4%
20192 4
 
11.8%
20202 2
 
5.9%
20182 1
 
2.9%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청동부교육지원청1ecec08c-ed83-b044-e053-0a32095ab044새일문유치원사립(사인)민영재심옥자1984110319841104서울특별시 동대문구 장한로 16502-2212-6229http://cafe.naver.com/saeilmoon07시30분~19시30분<NA><NA><NA>2<NA><NA><NA><NA>48<NA>20232
1서울특별시교육청동부교육지원청1ecec08c-ee33-b044-e053-0a32095ab044백주유치원사립(사인)김재영이명숙1966012719660127서울특별시 동대문구 서울시립대로18길 1902-2249-5170http://cafe.daum.net/baekjukids08시00분~19시00분1110<NA>624120<NA>20202
2서울특별시교육청동부교육지원청1ecec08c-efaa-b044-e053-0a32095ab044예일유치원사립(사인)문순서수진1993022719930227서울특별시 동대문구 사가정로 19002-2215-0084<NA>08시00분~18시00분2220<NA>3743440<NA>20232
3서울특별시교육청동부교육지원청1ecec08c-f054-b044-e053-0a32095ab044삼성유치원사립(사인)심성훈 권균자정애림2013112520131125서울특별시 동대문구 사가정로 6502-2213-0080<NA>08시00분~18시30분3320<NA>6972570<NA>20232
4서울특별시교육청동부교육지원청1ecec08c-f1fc-b044-e053-0a32095ab044서울전동초등학교병설유치원공립(병설)고연숙고연숙2000012520000412서울특별시 동대문구 전농로16길 6102-2214-1528https://jeondong.sen.es.kr07시20분~19시40분11101616180520232
5서울특별시교육청동부교육지원청1ecec08c-f1fd-b044-e053-0a32095ab044자람유치원사립(사인)정웅태최영애2000111720001117서울특별시 동대문구 고산자로 53402-3295-3469<NA>09시00분~20시00분1110<NA>111490<NA>20192
6서울특별시교육청동부교육지원청1ecec08c-f491-b044-e053-0a32095ab044서울휘경유치원공립(단설)김연숙김연숙1999090119991118서울특별시 동대문구 망우로6길 4802-2242-0354http://www.hwykyung.kg.kr/07시30분~19시30분222012822390520232
7서울특별시교육청동부교육지원청1ecec08c-f895-b044-e053-0a32095ab044한양유치원사립(사인)석미정석미정1989030520041114서울특별시 동대문구 답십리로 18402-2249-6001http://cafe.naver.com/hanyangkg09시30분~19시00분1220<NA>830290<NA>20192
8서울특별시교육청동부교육지원청1ecec08c-f8dc-b044-e053-0a32095ab044세하유치원사립(사인)이은숙이은숙2004050120040501서울특별시 동대문구 장안벚꽃로 10702-2213-1382https://blog.naver.com/sehakids08시00분~20시00분2120<NA>3223410<NA>20232
9서울특별시교육청동부교육지원청1ecec08c-fadc-b044-e053-0a32095ab044서울유치원사립(사인)박진희박진희2001012220010307서울특별시 동대문구 한천로58길 4702-959-9411http://www.seoulkid.com09시00분~18시00분1120<NA>2320500<NA>20202
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
24서울특별시교육청동부교육지원청1ecec08d-0c05-b044-e053-0a32095ab044새소리유치원사립(사인)이현란이현란1991011019910111서울특별시 동대문구 사가정로 14802-2214-0011<NA>09시00분~18시30분2330<NA>5876730<NA>20232
25서울특별시교육청동부교육지원청1ecec08d-0c08-b044-e053-0a32095ab044서울답십리초등학교병설유치원공립(병설)이승용이승용1986031319860313서울특별시 동대문구 전농로3길 2302-2248-3152http://www.dapsimni.kg.kr07시30분~19시30분2110<NA>2020220<NA>20232
26서울특별시교육청동부교육지원청1ecec08d-0c8c-b044-e053-0a32095ab044서울군자초등학교병설유치원공립(병설)이명숙이명숙2007030120070522서울특별시 동대문구 한천로6길 2102-2212-8456http://www.kunja.kg.kr/07시00분~20시00분2220<NA>2124320<NA>20232
27서울특별시교육청동부교육지원청1ecec08d-0ca7-b044-e053-0a32095ab044동안유치원사립(사인)유재순유재순1998112519990308서울특별시 동대문구 회기로25길 6702-957-1830http://dongkid.org/07시40분~18시30분2120<NA>3224390<NA>20232
28서울특별시교육청동부교육지원청1ecec08d-0ca9-b044-e053-0a32095ab044빛나유치원사립(법인)탁용균임미경1984092919840929서울특별시 동대문구 전농로23길 4702-2212-0406<NA>09시00분~22시00분1<NA><NA>1<NA>9<NA><NA>17<NA>20182
29서울특별시교육청동부교육지원청1ecec08d-0d38-b044-e053-0a32095ab044경희유치원사립(법인)윤경숙윤경숙1961032419610324서울특별시 동대문구 경희대로 2602-967-0907http://www.khu.kg.kr09시00분~18시00분2220<NA>4454550<NA>20232
30서울특별시교육청동부교육지원청51d03296-c765-4e9c-900f-217f6a1d50f3서울이문유치원공립(단설)이현진이현진2017051820170901서울특별시 동대문구 신이문로 1602-959-2023http://www.imunk.co.kr09시00분~19시30분222012735360520232
31서울특별시교육청동부교육지원청663b5e8a-86f7-433a-bedd-f46a8bd1c7b1정원유치원사립(사인)황영희황영희2017111520180301서울특별시 동대문구 사가정로 276-1902)3390-9940http://cafe.naver.com/jokindergarten07시30분~19시30분2220<NA>3839450<NA>20232
32서울특별시교육청동부교육지원청7e75b6b8-7dcb-4645-85e7-3656fce0c528서울전곡초등학교병설유치원공립(병설)이규상이규상2022030120220301서울특별시 동대문구 전농로 17202-2244-3254https://jeongok.sen.es.kr07시00분~20시00분1110<NA>61580<NA>20232
33서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)권오숙권오숙2019043020190701서울특별시 동대문구 답십리로48길 5602-2217-0430https://cafe.naver.com/raon070108시00분~17시00분1110<NA>1615200<NA>20232