Overview

Dataset statistics

Number of variables24
Number of observations42
Missing cells30
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory208.1 B

Variable types

Categorical11
Text8
Numeric5

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20597/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (65.4%)Imbalance
혼합유아수 is highly imbalanced (72.3%)Imbalance
특수유아수 is highly imbalanced (61.4%)Imbalance
공시차수 is highly imbalanced (62.9%)Imbalance
홈페이지 has 16 (38.1%) missing valuesMissing
만3세유아수 has 6 (14.3%) missing valuesMissing
만4세유아수 has 5 (11.9%) missing valuesMissing
만5세유아수 has 3 (7.1%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대표자명 has unique valuesUnique
원장명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 19:01:03.990191
Analysis finished2024-03-13 19:01:04.296716
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
서울특별시교육청
42 

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 42
100.0%

Length

2024-03-14T04:01:04.343710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:04.413589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 42
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
남부교육지원청
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부교육지원청 42
100.0%

Length

2024-03-14T04:01:04.486634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:04.561404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 42
100.0%

유치원코드
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:04.721821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1512
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

Unique42 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed30-b044-e053-0a32095ab044
2nd row1ecec08c-eecc-b044-e053-0a32095ab044
3rd row1ecec08c-eecd-b044-e053-0a32095ab044
4th row1ecec08c-efb3-b044-e053-0a32095ab044
5th row1ecec08c-f1b5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed30-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0726-b044-e053-0a32095ab044 1
 
2.4%
bee9e663-cc40-4da3-a26e-2b77a1a3e3f9 1
 
2.4%
1ecec08d-013f-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-01d4-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0336-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0555-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0568-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056a-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056b-b044-e053-0a32095ab044 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T04:01:05.000414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 854
56.5%
Lowercase Letter 490
32.4%
Dash Punctuation 168
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
31.1%
4 166
19.4%
3 95
 
11.1%
5 91
 
10.7%
9 58
 
6.8%
1 53
 
6.2%
8 53
 
6.2%
2 45
 
5.3%
6 17
 
2.0%
7 10
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1022
67.6%
Latin 490
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
26.0%
- 168
16.4%
4 166
16.2%
3 95
 
9.3%
5 91
 
8.9%
9 58
 
5.7%
1 53
 
5.2%
8 53
 
5.2%
2 45
 
4.4%
6 17
 
1.7%
Latin
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

유치원명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:05.199736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.8571429
Min length5

Characters and Unicode

Total characters330
Distinct characters73
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

Unique42 ?
Unique (%)100.0%

Sample

1st row성모유치원
2nd row큰나무유치원
3rd row평강유치원
4th row은하유치원
5th row서울윤중초등학교병설유치원
ValueCountFrequency (%)
성모유치원 1
 
2.4%
서울당중초등학교병설유치원 1
 
2.4%
서울우신초등학교병설유치원 1
 
2.4%
여의도유치원 1
 
2.4%
푸른나라유치원 1
 
2.4%
성요셉유치원 1
 
2.4%
대림유치원 1
 
2.4%
신라유치원 1
 
2.4%
영은유치원 1
 
2.4%
영중유치원 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T04:01:05.476969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 12
 
3.6%
Other values (63) 117
35.5%

설립유형
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
사립(사인)
20 
공립(병설)
12 
사립(법인)
10 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
47.6%
공립(병설) 12
28.6%
사립(법인) 10
23.8%

Length

2024-03-14T04:01:05.580222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:05.682456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
47.6%
공립(병설 12
28.6%
사립(법인 10
23.8%

대표자명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:05.888533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.7142857
Min length2

Characters and Unicode

Total characters156
Distinct characters77
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

Unique42 ?
Unique (%)100.0%

Sample

1st row장정화
2nd row구영옥
3rd row고기홍
4th row정순택
5th row오문환
ValueCountFrequency (%)
장정화 1
 
2.2%
한기천 1
 
2.2%
김희영 1
 
2.2%
문헌주 1
 
2.2%
정윤경 1
 
2.2%
문인영 1
 
2.2%
정태옥 1
 
2.2%
김정성 1
 
2.2%
신범승 1
 
2.2%
이승구 1
 
2.2%
Other values (36) 36
78.3%
2024-03-14T04:01:06.173944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 10
 
6.4%
김 7
 
4.5%
이 6
 
3.8%
경 5
 
3.2%
성 5
 
3.2%
희 5
 
3.2%
문 4
 
2.6%
신 4
 
2.6%
영 4
 
2.6%
순 4
 
2.6%
Other values (67) 102
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
97.4%
Space Separator 4
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 10
 
6.6%
김 7
 
4.6%
이 6
 
3.9%
경 5
 
3.3%
성 5
 
3.3%
희 5
 
3.3%
문 4
 
2.6%
신 4
 
2.6%
영 4
 
2.6%
순 4
 
2.6%
Other values (66) 98
64.5%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
97.4%
Common 4
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 10
 
6.6%
김 7
 
4.6%
이 6
 
3.9%
경 5
 
3.3%
성 5
 
3.3%
희 5
 
3.3%
문 4
 
2.6%
신 4
 
2.6%
영 4
 
2.6%
순 4
 
2.6%
Other values (66) 98
64.5%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
97.4%
ASCII 4
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 10
 
6.6%
김 7
 
4.6%
이 6
 
3.9%
경 5
 
3.3%
성 5
 
3.3%
희 5
 
3.3%
문 4
 
2.6%
신 4
 
2.6%
영 4
 
2.6%
순 4
 
2.6%
Other values (66) 98
64.5%
ASCII
ValueCountFrequency (%)
4
100.0%

원장명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:06.355892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9761905
Min length2

Characters and Unicode

Total characters125
Distinct characters57
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

Unique42 ?
Unique (%)100.0%

Sample

1st row장정화
2nd row차윤정
3rd row김태숙
4th row문은경
5th row오문환
ValueCountFrequency (%)
장정화 1
 
2.4%
한기천 1
 
2.4%
문헌주 1
 
2.4%
정윤경 1
 
2.4%
김아영 1
 
2.4%
김미현 1
 
2.4%
유현아 1
 
2.4%
나경순 1
 
2.4%
유현주 1
 
2.4%
조은정 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T04:01:06.625042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
8.0%
정 8
 
6.4%
경 7
 
5.6%
이 5
 
4.0%
미 5
 
4.0%
희 5
 
4.0%
순 4
 
3.2%
영 4
 
3.2%
신 4
 
3.2%
유 4
 
3.2%
Other values (47) 69
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
8.0%
정 8
 
6.4%
경 7
 
5.6%
이 5
 
4.0%
미 5
 
4.0%
희 5
 
4.0%
순 4
 
3.2%
영 4
 
3.2%
신 4
 
3.2%
유 4
 
3.2%
Other values (47) 69
55.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
8.0%
정 8
 
6.4%
경 7
 
5.6%
이 5
 
4.0%
미 5
 
4.0%
희 5
 
4.0%
순 4
 
3.2%
영 4
 
3.2%
신 4
 
3.2%
유 4
 
3.2%
Other values (47) 69
55.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
8.0%
정 8
 
6.4%
경 7
 
5.6%
이 5
 
4.0%
미 5
 
4.0%
희 5
 
4.0%
순 4
 
3.2%
영 4
 
3.2%
신 4
 
3.2%
유 4
 
3.2%
Other values (47) 69
55.2%

설립일
Real number (ℝ)

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19937646
Minimum19560309
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T04:01:06.733528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19560309
5-th percentile19644126
Q119830301
median19955404
Q320050948
95-th percentile20187831
Maximum20220301
Range659992
Interquartile range (IQR)220647

Descriptive statistics

Standard deviation158408.42
Coefficient of variation (CV)0.0079451915
Kurtosis-0.26450248
Mean19937646
Median Absolute Deviation (MAD)120100
Skewness-0.19616005
Sum8.3738113 × 108
Variance2.5093226 × 1010
MonotonicityNot monotonic
2024-03-14T04:01:06.840999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
19830301 5
 
11.9%
19790301 2
 
4.8%
20220301 2
 
4.8%
19560309 1
 
2.4%
20050105 1
 
2.4%
20130429 1
 
2.4%
19830120 1
 
2.4%
19980429 1
 
2.4%
19640612 1
 
2.4%
19810121 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
19560309 1
 
2.4%
19640612 1
 
2.4%
19641126 1
 
2.4%
19701116 1
 
2.4%
19790301 2
 
4.8%
19810121 1
 
2.4%
19830120 1
 
2.4%
19830301 5
11.9%
19840308 1
 
2.4%
19850211 1
 
2.4%
ValueCountFrequency (%)
20220301 2
4.8%
20190301 1
2.4%
20140905 1
2.4%
20140221 1
2.4%
20130429 1
2.4%
20130301 1
2.4%
20120105 1
2.4%
20070420 1
2.4%
20060726 1
2.4%
20051229 1
2.4%

개원일
Real number (ℝ)

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19938770
Minimum19560309
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T04:01:06.946227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19560309
5-th percentile19644126
Q119830301
median19955404
Q320057854
95-th percentile20188314
Maximum20220301
Range659992
Interquartile range (IQR)227552.75

Descriptive statistics

Standard deviation159058.81
Coefficient of variation (CV)0.0079773631
Kurtosis-0.28531307
Mean19938770
Median Absolute Deviation (MAD)120100
Skewness-0.20138535
Sum8.3742832 × 108
Variance2.5299704 × 1010
MonotonicityNot monotonic
2024-03-14T04:01:07.043350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
19830301 5
 
11.9%
19790301 2
 
4.8%
20220301 2
 
4.8%
19560309 1
 
2.4%
20050512 1
 
2.4%
20130429 1
 
2.4%
19830120 1
 
2.4%
19980429 1
 
2.4%
19640612 1
 
2.4%
19810121 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
19560309 1
 
2.4%
19640612 1
 
2.4%
19641126 1
 
2.4%
19701116 1
 
2.4%
19790301 2
 
4.8%
19810121 1
 
2.4%
19830120 1
 
2.4%
19830301 5
11.9%
19840308 1
 
2.4%
19850211 1
 
2.4%
ValueCountFrequency (%)
20220301 2
4.8%
20190314 1
2.4%
20150304 1
2.4%
20140301 1
2.4%
20130429 1
2.4%
20130301 1
2.4%
20120427 1
2.4%
20070420 1
2.4%
20070308 1
2.4%
20060301 1
2.4%

주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:07.236400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.333333
Min length17

Characters and Unicode

Total characters812
Distinct characters55
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 가마산로89길 7
2nd row서울특별시 영등포구 도신로 31
3rd row서울특별시 영등포구 신길로 27
4th row서울특별시 영등포구 당산로28길 11
5th row서울특별시 영등포구 여의나루로2길 14
ValueCountFrequency (%)
서울특별시 42
25.0%
영등포구 42
25.0%
14 4
 
2.4%
신길로 3
 
1.8%
3 2
 
1.2%
9 2
 
1.2%
양산로 2
 
1.2%
8 2
 
1.2%
도신로 2
 
1.2%
대방천로 2
 
1.2%
Other values (65) 65
38.7%
2024-03-14T04:01:07.540938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
15.5%
영 46
 
5.7%
서 43
 
5.3%
시 43
 
5.3%
등 43
 
5.3%
포 43
 
5.3%
특 42
 
5.2%
별 42
 
5.2%
구 42
 
5.2%
울 42
 
5.2%
Other values (45) 300
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
67.2%
Decimal Number 136
 
16.7%
Space Separator 126
 
15.5%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%
Decimal Number
ValueCountFrequency (%)
1 27
19.9%
3 19
14.0%
2 17
12.5%
4 14
10.3%
8 12
8.8%
5 12
8.8%
7 10
 
7.4%
9 9
 
6.6%
6 9
 
6.6%
0 7
 
5.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
67.2%
Common 266
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%
Common
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
67.2%
ASCII 266
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%
Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%

전화번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:07.727242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.309524
Min length10

Characters and Unicode

Total characters475
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row02-842-2903
2nd row02-832-3904
3rd row02-848-0502
4th row02-2068-0109
5th row02-783-0407
ValueCountFrequency (%)
02-842-2903 1
 
2.4%
02-2633-1497 1
 
2.4%
02-847-2258 1
 
2.4%
02-782-0555 1
 
2.4%
02-2633-0033 1
 
2.4%
02-783-6921 1
 
2.4%
02-833-9600 1
 
2.4%
02-834-2222 1
 
2.4%
02-2676-0568 1
 
2.4%
02-2676-8276 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T04:01:08.070076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 91
19.2%
- 81
17.1%
0 74
15.6%
3 46
9.7%
8 38
8.0%
4 28
 
5.9%
7 28
 
5.9%
5 27
 
5.7%
6 26
 
5.5%
9 20
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 394
82.9%
Dash Punctuation 81
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 91
23.1%
0 74
18.8%
3 46
11.7%
8 38
9.6%
4 28
 
7.1%
7 28
 
7.1%
5 27
 
6.9%
6 26
 
6.6%
9 20
 
5.1%
1 16
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 475
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 91
19.2%
- 81
17.1%
0 74
15.6%
3 46
9.7%
8 38
8.0%
4 28
 
5.9%
7 28
 
5.9%
5 27
 
5.7%
6 26
 
5.5%
9 20
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 91
19.2%
- 81
17.1%
0 74
15.6%
3 46
9.7%
8 38
8.0%
4 28
 
5.9%
7 28
 
5.9%
5 27
 
5.7%
6 26
 
5.5%
9 20
 
4.2%

홈페이지
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing16
Missing (%)38.1%
Memory size468.0 B
2024-03-14T04:01:08.255437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length27.076923
Min length20

Characters and Unicode

Total characters704
Distinct characters37
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
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.daum.net/ntdsm
2nd rowhttps://bigtreekid.kidsnote.ac
3rd rowhttp://www.yunjung.es.kr
4th rowhttp://www.rainbowi.com
5th rowhttp://www.smi.or.kr
ValueCountFrequency (%)
http://www.donbosco.me 1
 
3.8%
http://www.yunjung.es.kr 1
 
3.8%
http://cafe.naver.com/yeouidochild 1
 
3.8%
https://idaegil.sen.es.kr 1
 
3.8%
https://younglim.sen.es.kr 1
 
3.8%
http://cafe.naver.com/edenu 1
 
3.8%
http://baptistkid.or.kr 1
 
3.8%
http://www.sdaebang.es.kr 1
 
3.8%
http://www.sdaedong.es.kr/46683/submenu.do 1
 
3.8%
http://www.youngjoong.es.kr 1
 
3.8%
Other values (16) 16
61.5%
2024-03-14T04:01:08.527451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 68
 
9.7%
/ 63
 
8.9%
t 59
 
8.4%
w 43
 
6.1%
e 42
 
6.0%
n 40
 
5.7%
s 36
 
5.1%
o 35
 
5.0%
h 32
 
4.5%
p 30
 
4.3%
Other values (27) 256
36.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 536
76.1%
Other Punctuation 157
 
22.3%
Decimal Number 5
 
0.7%
Other Letter 5
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 59
 
11.0%
w 43
 
8.0%
e 42
 
7.8%
n 40
 
7.5%
s 36
 
6.7%
o 35
 
6.5%
h 32
 
6.0%
p 30
 
5.6%
r 27
 
5.0%
d 25
 
4.7%
Other values (14) 167
31.2%
Other Letter
ValueCountFrequency (%)
유 1
20.0%
원 1
20.0%
치 1
20.0%
화 1
20.0%
평 1
20.0%
Decimal Number
ValueCountFrequency (%)
6 2
40.0%
3 1
20.0%
8 1
20.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 68
43.3%
/ 63
40.1%
: 26
 
16.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 537
76.3%
Common 162
 
23.0%
Hangul 5
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 59
 
11.0%
w 43
 
8.0%
e 42
 
7.8%
n 40
 
7.4%
s 36
 
6.7%
o 35
 
6.5%
h 32
 
6.0%
p 30
 
5.6%
r 27
 
5.0%
d 25
 
4.7%
Other values (15) 168
31.3%
Common
ValueCountFrequency (%)
. 68
42.0%
/ 63
38.9%
: 26
 
16.0%
6 2
 
1.2%
3 1
 
0.6%
8 1
 
0.6%
4 1
 
0.6%
Hangul
ValueCountFrequency (%)
유 1
20.0%
원 1
20.0%
치 1
20.0%
화 1
20.0%
평 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 699
99.3%
Hangul 5
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 68
 
9.7%
/ 63
 
9.0%
t 59
 
8.4%
w 43
 
6.2%
e 42
 
6.0%
n 40
 
5.7%
s 36
 
5.2%
o 35
 
5.0%
h 32
 
4.6%
p 30
 
4.3%
Other values (22) 251
35.9%
Hangul
ValueCountFrequency (%)
유 1
20.0%
원 1
20.0%
치 1
20.0%
화 1
20.0%
평 1
20.0%

운영시간
Text

Distinct21
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T04:01:08.682998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters546
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

Unique13 ?
Unique (%)31.0%

Sample

1st row09시50분~18시00분
2nd row09시00분~18시00분
3rd row09시30분~17시30분
4th row08시30분~18시30분
5th row07시20분~19시20분
ValueCountFrequency (%)
07시30분~19시30분 7
16.7%
07시00분~19시00분 6
14.3%
09시00분~17시00분 5
11.9%
07시20분~19시20분 3
 
7.1%
07시00분~19시30분 2
 
4.8%
08시00분~19시00분 2
 
4.8%
08시30분~18시00분 2
 
4.8%
08시00분~20시00분 2
 
4.8%
09시00분~19시00분 1
 
2.4%
09시30분~18시30분 1
 
2.4%
Other values (11) 11
26.2%
2024-03-14T04:01:09.134335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 180
33.0%
시 84
15.4%
분 84
15.4%
~ 42
 
7.7%
1 37
 
6.8%
9 34
 
6.2%
3 28
 
5.1%
7 26
 
4.8%
8 19
 
3.5%
2 11
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
61.5%
Other Letter 168
30.8%
Math Symbol 42
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 180
53.6%
1 37
 
11.0%
9 34
 
10.1%
3 28
 
8.3%
7 26
 
7.7%
8 19
 
5.7%
2 11
 
3.3%
5 1
 
0.3%
Other Letter
ValueCountFrequency (%)
시 84
50.0%
분 84
50.0%
Math Symbol
ValueCountFrequency (%)
~ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 378
69.2%
Hangul 168
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 180
47.6%
~ 42
 
11.1%
1 37
 
9.8%
9 34
 
9.0%
3 28
 
7.4%
7 26
 
6.9%
8 19
 
5.0%
2 11
 
2.9%
5 1
 
0.3%
Hangul
ValueCountFrequency (%)
시 84
50.0%
분 84
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
69.2%
Hangul 168
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 180
47.6%
~ 42
 
11.1%
1 37
 
9.8%
9 34
 
9.0%
3 28
 
7.4%
7 26
 
6.9%
8 19
 
5.0%
2 11
 
2.9%
5 1
 
0.3%
Hangul
ValueCountFrequency (%)
시 84
50.0%
분 84
50.0%

만3세학급수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
22 
2
9 
<NA>
6 
3
5 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
52.4%
2 9
21.4%
<NA> 6
 
14.3%
3 5
 
11.9%

Length

2024-03-14T04:01:09.253977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:09.337765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
52.4%
2 9
21.4%
na 6
 
14.3%
3 5
 
11.9%

만4세학급수
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
24 
2
8 
<NA>
5 
3
4 
4
 
1

Length

Max length4
Median length1
Mean length1.3571429
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
57.1%
2 8
 
19.0%
<NA> 5
 
11.9%
3 4
 
9.5%
4 1
 
2.4%

Length

2024-03-14T04:01:09.429934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:09.516851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
57.1%
2 8
 
19.0%
na 5
 
11.9%
3 4
 
9.5%
4 1
 
2.4%

만5세학급수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
25 
2
11 
3
3 
<NA>
3 

Length

Max length4
Median length1
Mean length1.2142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
59.5%
2 11
26.2%
3 3
 
7.1%
<NA> 3
 
7.1%

Length

2024-03-14T04:01:09.607619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:09.688469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
59.5%
2 11
26.2%
3 3
 
7.1%
na 3
 
7.1%

혼합학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
1
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 38
90.5%
1 2
 
4.8%
2 2
 
4.8%

Length

2024-03-14T04:01:09.780659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:09.857010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
1 2
 
4.8%
2 2
 
4.8%

특수학급수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
37 
1
5 

Length

Max length4
Median length4
Mean length3.6428571
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> 37
88.1%
1 5
 
11.9%

Length

2024-03-14T04:01:09.940090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:10.034752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
88.1%
1 5
 
11.9%

만3세유아수
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)72.2%
Missing6
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean25.277778
Minimum5
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T04:01:10.133545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.75
Q111
median19
Q335
95-th percentile63.75
Maximum66
Range61
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.488006
Coefficient of variation (CV)0.73139363
Kurtosis0.0080507832
Mean25.277778
Median Absolute Deviation (MAD)8.5
Skewness1.0395872
Sum910
Variance341.80635
MonotonicityNot monotonic
2024-03-14T04:01:10.243648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11 5
 
11.9%
63 2
 
4.8%
46 2
 
4.8%
5 2
 
4.8%
20 2
 
4.8%
16 2
 
4.8%
66 2
 
4.8%
22 1
 
2.4%
12 1
 
2.4%
43 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 6
 
14.3%
ValueCountFrequency (%)
5 2
 
4.8%
6 1
 
2.4%
7 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
11 5
11.9%
12 1
 
2.4%
14 1
 
2.4%
15 1
 
2.4%
16 2
 
4.8%
ValueCountFrequency (%)
66 2
4.8%
63 2
4.8%
47 1
2.4%
46 2
4.8%
43 1
2.4%
38 1
2.4%
34 1
2.4%
30 1
2.4%
28 1
2.4%
27 1
2.4%

만4세유아수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)73.0%
Missing5
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean29.918919
Minimum5
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T04:01:10.331818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q118
median24
Q330
95-th percentile69.4
Maximum94
Range89
Interquartile range (IQR)12

Descriptive statistics

Standard deviation19.757387
Coefficient of variation (CV)0.66036435
Kurtosis2.1953041
Mean29.918919
Median Absolute Deviation (MAD)6
Skewness1.5436283
Sum1107
Variance390.35435
MonotonicityNot monotonic
2024-03-14T04:01:10.416259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
24 3
 
7.1%
22 3
 
7.1%
10 3
 
7.1%
16 2
 
4.8%
18 2
 
4.8%
26 2
 
4.8%
29 2
 
4.8%
44 1
 
2.4%
15 1
 
2.4%
20 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 5
 
11.9%
ValueCountFrequency (%)
5 1
 
2.4%
10 3
7.1%
13 1
 
2.4%
15 1
 
2.4%
16 2
4.8%
17 1
 
2.4%
18 2
4.8%
19 1
 
2.4%
20 1
 
2.4%
22 3
7.1%
ValueCountFrequency (%)
94 1
2.4%
71 1
2.4%
69 1
2.4%
62 1
2.4%
60 1
2.4%
48 1
2.4%
46 1
2.4%
45 1
2.4%
44 1
2.4%
30 1
2.4%

만5세유아수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)69.2%
Missing3
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean29.435897
Minimum7
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-03-14T04:01:10.500468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q114.5
median23
Q343.5
95-th percentile63
Maximum86
Range79
Interquartile range (IQR)29

Descriptive statistics

Standard deviation18.814601
Coefficient of variation (CV)0.63917198
Kurtosis0.99256109
Mean29.435897
Median Absolute Deviation (MAD)9
Skewness1.2091218
Sum1148
Variance353.9892
MonotonicityNot monotonic
2024-03-14T04:01:10.591428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
14 4
 
9.5%
23 3
 
7.1%
25 2
 
4.8%
45 2
 
4.8%
15 2
 
4.8%
18 2
 
4.8%
13 2
 
4.8%
10 2
 
4.8%
29 2
 
4.8%
12 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 3
 
7.1%
ValueCountFrequency (%)
7 1
 
2.4%
10 2
4.8%
12 1
 
2.4%
13 2
4.8%
14 4
9.5%
15 2
4.8%
17 1
 
2.4%
18 2
4.8%
21 1
 
2.4%
22 1
 
2.4%
ValueCountFrequency (%)
86 1
2.4%
72 1
2.4%
62 1
2.4%
57 1
2.4%
53 1
2.4%
51 1
2.4%
48 1
2.4%
46 1
2.4%
45 2
4.8%
42 1
2.4%

혼합유아수
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
7
 
1
48
 
1
31
 
1
16
 
1

Length

Max length2
Median length1
Mean length1.0714286
Min length1

Unique

Unique4 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 38
90.5%
7 1
 
2.4%
48 1
 
2.4%
31 1
 
2.4%
16 1
 
2.4%

Length

2024-03-14T04:01:10.684087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:10.778513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
7 1
 
2.4%
48 1
 
2.4%
31 1
 
2.4%
16 1
 
2.4%

특수유아수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
37 
4
4 
3
 
1

Length

Max length4
Median length4
Mean length3.6428571
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
88.1%
4 4
 
9.5%
3 1
 
2.4%

Length

2024-03-14T04:01:10.866913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:10.969325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
88.1%
4 4
 
9.5%
3 1
 
2.4%

공시차수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
20232
39 
20182
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20232 39
92.9%
20182 3
 
7.1%

Length

2024-03-14T04:01:11.047529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:01:11.121826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 39
92.9%
20182 3
 
7.1%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청남부교육지원청1ecec08c-ed30-b044-e053-0a32095ab044성모유치원사립(법인)장정화장정화1956030919560309서울특별시 영등포구 가마산로89길 702-842-2903http://cafe.daum.net/ntdsm09시50분~18시00분1220<NA>2348420<NA>20232
1서울특별시교육청남부교육지원청1ecec08c-eecc-b044-e053-0a32095ab044큰나무유치원사립(사인)구영옥차윤정1998020319980203서울특별시 영등포구 도신로 3102-832-3904https://bigtreekid.kidsnote.ac09시00분~18시00분2210<NA>3426170<NA>20232
2서울특별시교육청남부교육지원청1ecec08c-eecd-b044-e053-0a32095ab044평강유치원사립(사인)고기홍김태숙1988120119881201서울특별시 영등포구 신길로 2702-848-0502<NA>09시30분~17시30분2120<NA>4724460<NA>20232
3서울특별시교육청남부교육지원청1ecec08c-efb3-b044-e053-0a32095ab044은하유치원사립(법인)정순택문은경1995030119950301서울특별시 영등포구 당산로28길 1102-2068-0109<NA>08시30분~18시30분1110<NA>2830290<NA>20232
4서울특별시교육청남부교육지원청1ecec08c-f1b5-b044-e053-0a32095ab044서울윤중초등학교병설유치원공립(병설)오문환오문환1987123019880310서울특별시 영등포구 여의나루로2길 1402-783-0407http://www.yunjung.es.kr07시20분~19시20분1110<NA>1122100<NA>20232
5서울특별시교육청남부교육지원청1ecec08c-f497-b044-e053-0a32095ab044무지개영재유치원사립(법인)박현주한명남2014022120140301서울특별시 영등포구 양산로17길 802-2675-0324http://www.rainbowi.com09시00분~17시00분3430<NA>6694860<NA>20232
6서울특별시교육청남부교육지원청1ecec08c-f600-b044-e053-0a32095ab044살레시오성미유치원사립(법인)재단법인 한국천주교 살레시오수녀회이선미1970111619701116서울특별시 영등포구 신길로 9302-845-7306http://www.smi.or.kr09시00분~17시00분3330<NA>6362720<NA>20232
7서울특별시교육청남부교육지원청1ecec08c-f7c4-b044-e053-0a32095ab044한영유치원사립(사인)나경식유수연1983030119830301서울특별시 영등포구 영중로41길 502-2677-5422<NA>08시00분~19시00분1210<NA>2046270<NA>20232
8서울특별시교육청남부교육지원청1ecec08c-f88d-b044-e053-0a32095ab044동천유치원사립(사인)이재성고유미1996050819960508서울특별시 영등포구 신길로40길 1002-842-8972<NA>08시30분~18시00분1110<NA>1124230<NA>20232
9서울특별시교육청남부교육지원청1ecec08c-f88e-b044-e053-0a32095ab044명신유치원사립(법인)이신현이신미1991100119911001서울특별시 영등포구 신길로41라길 13-902-832-5543http://www.myoungshin.co.kr08시00분~20시00분1220<NA>1644480<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
32서울특별시교육청남부교육지원청1ecec08d-080b-b044-e053-0a32095ab044서울대동초등학교병설유치원공립(병설)김선희김선희2006072620070308서울특별시 영등포구 대림로21길 602-63796199http://www.sdaedong.es.kr/46683/subMenu.do07시00분~20시00분1110<NA>916140<NA>20232
33서울특별시교육청남부교육지원청1ecec08d-0b19-b044-e053-0a32095ab044성지유치원사립(사인)이성실이성실2002110120021118서울특별시 영등포구 도신로29길 2802-847-2120<NA>08시00분~19시00분2110<NA>3828250<NA>20232
34서울특별시교육청남부교육지원청1ecec08d-0b39-b044-e053-0a32095ab044서울대방초등학교병설유치원공립(병설)문상희문상희2012010520120427서울특별시 영등포구 여의대방로35길 1402-833-3595http://www.sdaebang.es.kr07시00분~19시00분<NA><NA>20<NA><NA><NA>260<NA>20232
35서울특별시교육청남부교육지원청1ecec08d-0d36-b044-e053-0a32095ab044침례유치원사립(법인)국명호길홍묘1979030119790301서울특별시 영등포구 국제금융로 11802-783-2529http://baptistkid.or.kr09시00분~19시00분2220<NA>4345450<NA>20232
36서울특별시교육청남부교육지원청1ecec08d-0d37-b044-e053-0a32095ab044한신혜원유치원사립(사인)김선경홍경란1996070519960705서울특별시 영등포구 양평로24길 902-2634-9167<NA>08시00분~18시30분2220<NA>4629290<NA>20232
37서울특별시교육청남부교육지원청1ecec08d-0e0f-b044-e053-0a32095ab044신길에덴유치원사립(사인)오정섭 신선경신선경1983030119830301서울특별시 영등포구 신길로38길 2102-833-1527http://cafe.naver.com/edenu07시00분~19시00분1110<NA>1217120<NA>20232
38서울특별시교육청남부교육지원청1ecec08d-0e56-b044-e053-0a32095ab044서울영림초등학교병설유치원공립(병설)안순안순2005122920060301서울특별시 영등포구 시흥대로173길 1402-834-3041https://younglim.sen.es.kr/07시30분~19시30분1110<NA>610210<NA>20232
39서울특별시교육청남부교육지원청514a9da1-09dd-41f1-80ad-6ae2336cc998서울대길초등학교병설유치원공립(병설)박승수박승수2022030120220301서울특별시 영등포구 대방천로 20602-2135-3510https://idaegil.sen.es.kr07시00분~19시30분1110<NA>111970<NA>20232
40서울특별시교육청남부교육지원청bee9e663-cc40-4da3-a26e-2b77a1a3e3f9서울우신초등학교병설유치원공립(병설)문헌주문헌주2019030120190314서울특별시 영등포구 신길로 19002-847-2258http://www.usin.es.kr/index.do07시20분~19시20분211011113150420232
41서울특별시교육청남부교육지원청c295b114-3f1c-40a9-85ec-0999d036c98c서울선유초등학교병설유치원공립(병설)김용훈김용훈2022030120220301서울특별시 영등포구 선유로43가길 140262688010<NA>07시00분~19시30분1110<NA>1520220<NA>20232