Overview

Dataset statistics

Number of variables24
Number of observations24
Missing cells19
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory210.5 B

Variable types

Categorical11
Text7
Numeric6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,대표자명,원장명,설립일,개원일,주소,전화번호,홈페이지,운영시간,만3세학급수,만4세학급수,만5세학급수,혼합학급수,특수학급수,만3세유아수,만4세유아수,만5세유아수,혼합유아수,특수유아수,공시차수
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20587/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
특수학급수 is highly imbalanced (50.5%)Imbalance
특수유아수 is highly imbalanced (55.0%)Imbalance
홈페이지 has 7 (29.2%) missing valuesMissing
만3세유아수 has 5 (20.8%) missing valuesMissing
만4세유아수 has 5 (20.8%) missing valuesMissing
만5세유아수 has 2 (8.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대표자명 has unique valuesUnique
설립일 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
혼합유아수 has 19 (79.2%) zerosZeros

Reproduction

Analysis started2024-03-13 16:38:15.172270
Analysis finished2024-03-13 16:38:15.426012
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시교육청
24 

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 24
100.0%

Length

2024-03-14T01:38:15.473334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:15.551919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 24
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
성북강북교육지원청
24 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

Length

2024-03-14T01:38:15.626734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:15.710325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

유치원코드
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T01:38:15.875196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters864
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

Unique24 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f0f4-b044-e053-0a32095ab044
2nd row1ecec08c-f0f5-b044-e053-0a32095ab044
3rd row1ecec08c-f0f6-b044-e053-0a32095ab044
4th row1ecec08c-f740-b044-e053-0a32095ab044
5th row1ecec08c-f8de-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f0f4-b044-e053-0a32095ab044 1
 
4.2%
1ecec08c-f0f5-b044-e053-0a32095ab044 1
 
4.2%
7e0ce4f2-8d6e-4568-9e83-17a353fee72b 1
 
4.2%
64af8988-de1b-45a7-81be-11e10d4fa5ef 1
 
4.2%
359faa6f-7b25-4e25-b738-71737821c61c 1
 
4.2%
1ecec08d-0cc5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0cbe-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0ae5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-084e-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-02ae-b044-e053-0a32095ab044 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T01:38:16.153306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 484
56.0%
Lowercase Letter 284
32.9%
Dash Punctuation 96
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
29.5%
4 92
19.0%
5 53
 
11.0%
3 50
 
10.3%
8 35
 
7.2%
2 35
 
7.2%
1 30
 
6.2%
9 26
 
5.4%
7 11
 
2.3%
6 9
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
67.1%
Latin 284
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
24.7%
- 96
16.6%
4 92
15.9%
5 53
 
9.1%
3 50
 
8.6%
8 35
 
6.0%
2 35
 
6.0%
1 30
 
5.2%
9 26
 
4.5%
7 11
 
1.9%
Latin
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

유치원명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T01:38:16.322738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.2083333
Min length5

Characters and Unicode

Total characters173
Distinct characters49
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

Unique24 ?
Unique (%)100.0%

Sample

1st row금성유치원
2nd row동명유치원
3rd row길물빛유치원
4th row성실유치원
5th row서울수유초등학교병설유치원
ValueCountFrequency (%)
금성유치원 1
 
4.2%
동명유치원 1
 
4.2%
서울송천초등학교병설유치원 1
 
4.2%
서울수송초등학교병설유치원 1
 
4.2%
서울번동초등학교병설유치원 1
 
4.2%
새시대유치원 1
 
4.2%
서울미양초등학교병설유치원 1
 
4.2%
인수유치원 1
 
4.2%
꿈동산유치원 1
 
4.2%
서울화계초등학교병설유치원 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T01:38:16.594726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

설립유형
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
사립(사인)
15 
공립(병설)
6 
사립(법인)
2 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 15
62.5%
공립(병설) 6
 
25.0%
사립(법인) 2
 
8.3%
공립(단설) 1
 
4.2%

Length

2024-03-14T01:38:16.695271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:16.770587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 15
62.5%
공립(병설 6
 
25.0%
사립(법인 2
 
8.3%
공립(단설 1
 
4.2%

대표자명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T01:38:16.917393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.5833333
Min length3

Characters and Unicode

Total characters86
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

Unique24 ?
Unique (%)100.0%

Sample

1st row양혜숙
2nd row이정순
3rd row이선아
4th row김형수
5th row고영미
ValueCountFrequency (%)
양혜숙 1
 
4.2%
이정순 1
 
4.2%
박동호 1
 
4.2%
김희영 1
 
4.2%
백용범 1
 
4.2%
이종희 1
 
4.2%
이은희 1
 
4.2%
노명래 1
 
4.2%
고백희 1
 
4.2%
어제우 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T01:38:17.386653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
7.0%
희 5
 
5.8%
정 4
 
4.7%
박 4
 
4.7%
미 3
 
3.5%
백 3
 
3.5%
영 3
 
3.5%
고 2
 
2.3%
최 2
 
2.3%
준 2
 
2.3%
Other values (45) 52
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
96.5%
Open Punctuation 1
 
1.2%
Space Separator 1
 
1.2%
Close Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
7.2%
희 5
 
6.0%
정 4
 
4.8%
박 4
 
4.8%
미 3
 
3.6%
백 3
 
3.6%
영 3
 
3.6%
고 2
 
2.4%
최 2
 
2.4%
준 2
 
2.4%
Other values (42) 49
59.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
96.5%
Common 3
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
7.2%
희 5
 
6.0%
정 4
 
4.8%
박 4
 
4.8%
미 3
 
3.6%
백 3
 
3.6%
영 3
 
3.6%
고 2
 
2.4%
최 2
 
2.4%
준 2
 
2.4%
Other values (42) 49
59.0%
Common
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
96.5%
ASCII 3
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
7.2%
희 5
 
6.0%
정 4
 
4.8%
박 4
 
4.8%
미 3
 
3.6%
백 3
 
3.6%
영 3
 
3.6%
고 2
 
2.4%
최 2
 
2.4%
준 2
 
2.4%
Other values (42) 49
59.0%
ASCII
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

원장명
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T01:38:17.527262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters72
Distinct characters40
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

Unique22 ?
Unique (%)91.7%

Sample

1st row곽용택
2nd row윤지영
3rd row유진희
4th row김제면
5th row고영미
ValueCountFrequency (%)
유진희 2
 
8.3%
곽용택 1
 
4.2%
백자현 1
 
4.2%
박동호 1
 
4.2%
김희영 1
 
4.2%
백용범 1
 
4.2%
문현숙 1
 
4.2%
이은희 1
 
4.2%
임우영 1
 
4.2%
어제우 1
 
4.2%
Other values (13) 13
54.2%
2024-03-14T01:38:17.752601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
희 5
 
6.9%
영 5
 
6.9%
정 4
 
5.6%
김 3
 
4.2%
미 3
 
4.2%
박 3
 
4.2%
자 2
 
2.8%
용 2
 
2.8%
은 2
 
2.8%
우 2
 
2.8%
Other values (30) 41
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
희 5
 
6.9%
영 5
 
6.9%
정 4
 
5.6%
김 3
 
4.2%
미 3
 
4.2%
박 3
 
4.2%
자 2
 
2.8%
용 2
 
2.8%
은 2
 
2.8%
우 2
 
2.8%
Other values (30) 41
56.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
희 5
 
6.9%
영 5
 
6.9%
정 4
 
5.6%
김 3
 
4.2%
미 3
 
4.2%
박 3
 
4.2%
자 2
 
2.8%
용 2
 
2.8%
은 2
 
2.8%
우 2
 
2.8%
Other values (30) 41
56.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
희 5
 
6.9%
영 5
 
6.9%
정 4
 
5.6%
김 3
 
4.2%
미 3
 
4.2%
박 3
 
4.2%
자 2
 
2.8%
용 2
 
2.8%
은 2
 
2.8%
우 2
 
2.8%
Other values (30) 41
56.9%

설립일
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19951045
Minimum19721130
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T01:38:17.852022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19721130
5-th percentile19733972
Q119837750
median19915669
Q320066178
95-th percentile20198092
Maximum20210301
Range489171
Interquartile range (IQR)228428.25

Descriptive statistics

Standard deviation152549.66
Coefficient of variation (CV)0.007646199
Kurtosis-1.0700017
Mean19951045
Median Absolute Deviation (MAD)100155
Skewness0.32627695
Sum4.7882508 × 108
Variance2.3271398 × 1010
MonotonicityNot monotonic
2024-03-14T01:38:17.986913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19940723 1
 
4.2%
19721130 1
 
4.2%
20201231 1
 
4.2%
20180301 1
 
4.2%
20210301 1
 
4.2%
20160104 1
 
4.2%
19840224 1
 
4.2%
19920115 1
 
4.2%
19890526 1
 
4.2%
19880413 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
19721130 1
4.2%
19731123 1
4.2%
19750115 1
4.2%
19820713 1
4.2%
19821227 1
4.2%
19830329 1
4.2%
19840224 1
4.2%
19850315 1
4.2%
19860522 1
4.2%
19880413 1
4.2%
ValueCountFrequency (%)
20210301 1
4.2%
20201231 1
4.2%
20180301 1
4.2%
20160104 1
4.2%
20120305 1
4.2%
20111027 1
4.2%
20051229 1
4.2%
20040325 1
4.2%
20021023 1
4.2%
19960531 1
4.2%

개원일
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19952200
Minimum19721130
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T01:38:18.090104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19721130
5-th percentile19733972
Q119837750
median19915669
Q320075308
95-th percentile20205801
Maximum20210301
Range489171
Interquartile range (IQR)237557.75

Descriptive statistics

Standard deviation153914.25
Coefficient of variation (CV)0.0077141494
Kurtosis-1.0830369
Mean19952200
Median Absolute Deviation (MAD)100155
Skewness0.33015282
Sum4.788528 × 108
Variance2.3689597 × 1010
MonotonicityNot monotonic
2024-03-14T01:38:18.186670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20210301 2
 
8.3%
19940723 1
 
4.2%
19750115 1
 
4.2%
20180301 1
 
4.2%
20160308 1
 
4.2%
19840224 1
 
4.2%
19920115 1
 
4.2%
19890526 1
 
4.2%
19880502 1
 
4.2%
20120307 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
19721130 1
4.2%
19731123 1
4.2%
19750115 1
4.2%
19820713 1
4.2%
19821227 1
4.2%
19830329 1
4.2%
19840224 1
4.2%
19850315 1
4.2%
19860522 1
4.2%
19880502 1
4.2%
ValueCountFrequency (%)
20210301 2
8.3%
20180301 1
4.2%
20160308 1
4.2%
20120307 1
4.2%
20120305 1
4.2%
20060309 1
4.2%
20040325 1
4.2%
20021023 1
4.2%
19960531 1
4.2%
19940723 1
4.2%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T01:38:18.347703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.208333
Min length16

Characters and Unicode

Total characters437
Distinct characters46
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 한천로123길 9
2nd row서울특별시 강북구 오패산로 130
3rd row서울특별시 강북구 인수봉로 260
4th row서울특별시 강북구 삼각산로 143-1
5th row서울특별시 강북구 삼양로74길 39
ValueCountFrequency (%)
서울특별시 24
25.0%
강북구 24
25.0%
인수봉로 3
 
3.1%
솔샘로 3
 
3.1%
45 2
 
2.1%
삼각산로 2
 
2.1%
298 1
 
1.0%
노해로21길 1
 
1.0%
12 1
 
1.0%
솔매로50가길 1
 
1.0%
Other values (34) 34
35.4%
2024-03-14T01:38:18.622907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
16.5%
서 24
 
5.5%
강 24
 
5.5%
로 24
 
5.5%
구 24
 
5.5%
북 24
 
5.5%
울 24
 
5.5%
시 24
 
5.5%
별 24
 
5.5%
특 24
 
5.5%
Other values (36) 149
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
64.5%
Decimal Number 82
 
18.8%
Space Separator 72
 
16.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%
Decimal Number
ValueCountFrequency (%)
1 18
22.0%
2 11
13.4%
9 11
13.4%
4 10
12.2%
5 9
11.0%
0 5
 
6.1%
8 5
 
6.1%
3 5
 
6.1%
7 4
 
4.9%
6 4
 
4.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
64.5%
Common 155
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%
Common
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
2 11
 
7.1%
9 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
7 4
 
2.6%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
64.5%
ASCII 155
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
2 11
 
7.1%
9 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
7 4
 
2.6%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T01:38:18.781106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.041667
Min length11

Characters and Unicode

Total characters265
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

Unique24 ?
Unique (%)100.0%

Sample

1st row02-905-6638
2nd row02-989-5723
3rd row02-902-7775
4th row02-905-8700
5th row02-988-4612
ValueCountFrequency (%)
02-905-6638 1
 
4.2%
02-989-5723 1
 
4.2%
02-982-3334 1
 
4.2%
02-6930-5813 1
 
4.2%
02-987-1866 1
 
4.2%
02-905-0287 1
 
4.2%
02-987-4195 1
 
4.2%
02-993-9180 1
 
4.2%
02-986-0577 1
 
4.2%
02-945-6936 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T01:38:19.038285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
18.1%
0 39
14.7%
2 36
13.6%
9 35
13.2%
8 22
8.3%
7 16
 
6.0%
5 15
 
5.7%
6 15
 
5.7%
4 15
 
5.7%
3 13
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 217
81.9%
Dash Punctuation 48
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
18.0%
2 36
16.6%
9 35
16.1%
8 22
10.1%
7 16
7.4%
5 15
 
6.9%
6 15
 
6.9%
4 15
 
6.9%
3 13
 
6.0%
1 11
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
18.1%
0 39
14.7%
2 36
13.6%
9 35
13.2%
8 22
8.3%
7 16
 
6.0%
5 15
 
5.7%
6 15
 
5.7%
4 15
 
5.7%
3 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
18.1%
0 39
14.7%
2 36
13.6%
9 35
13.2%
8 22
8.3%
7 16
 
6.0%
5 15
 
5.7%
6 15
 
5.7%
4 15
 
5.7%
3 13
 
4.9%

홈페이지
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing7
Missing (%)29.2%
Memory size324.0 B
2024-03-14T01:38:19.216963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length25.705882
Min length19

Characters and Unicode

Total characters437
Distinct characters45
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

Unique17 ?
Unique (%)100.0%

Sample

1st rowhttp://cyworld.com/dongmyoungkid
2nd rowhttp://cafe.naver.com/sinkukdong
3rd rowhttp://www.성실유치원.kr
4th rowhttp://suyu.sen.es.kr
5th rowhttp://cafe.daum.net/areum41
ValueCountFrequency (%)
http://cyworld.com/dongmyoungkid 1
 
5.9%
http://hwagyekinder.com 1
 
5.9%
http://song-cheon.kg.kr 1
 
5.9%
https://soosong.sen.es.kr 1
 
5.9%
http://beondong.sen.es.kr 1
 
5.9%
http://cafe.daum.net/saesidaekids 1
 
5.9%
http://mi-yang.sen.es.kr 1
 
5.9%
https://hwagye.sen.es.kr 1
 
5.9%
https://cafe.naver.com/sungche1973 1
 
5.9%
http://cafe.naver.com/sinkukdong 1
 
5.9%
Other values (7) 7
41.2%
2024-03-14T01:38:19.485936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 42
 
9.6%
t 37
 
8.5%
. 36
 
8.2%
e 29
 
6.6%
n 25
 
5.7%
s 24
 
5.5%
h 23
 
5.3%
k 18
 
4.1%
a 18
 
4.1%
: 17
 
3.9%
Other values (35) 168
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 315
72.1%
Other Punctuation 95
 
21.7%
Other Letter 18
 
4.1%
Decimal Number 6
 
1.4%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 37
 
11.7%
e 29
 
9.2%
n 25
 
7.9%
s 24
 
7.6%
h 23
 
7.3%
k 18
 
5.7%
a 18
 
5.7%
p 17
 
5.4%
r 15
 
4.8%
o 15
 
4.8%
Other values (12) 94
29.8%
Other Letter
ValueCountFrequency (%)
원 3
16.7%
치 2
11.1%
유 2
11.1%
실 1
 
5.6%
우 1
 
5.6%
울 1
 
5.6%
서 1
 
5.6%
쿨 1
 
5.6%
스 1
 
5.6%
리 1
 
5.6%
Other values (4) 4
22.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
3 1
16.7%
7 1
16.7%
9 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 42
44.2%
. 36
37.9%
: 17
17.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 315
72.1%
Common 104
 
23.8%
Hangul 18
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 37
 
11.7%
e 29
 
9.2%
n 25
 
7.9%
s 24
 
7.6%
h 23
 
7.3%
k 18
 
5.7%
a 18
 
5.7%
p 17
 
5.4%
r 15
 
4.8%
o 15
 
4.8%
Other values (12) 94
29.8%
Hangul
ValueCountFrequency (%)
원 3
16.7%
치 2
11.1%
유 2
11.1%
실 1
 
5.6%
우 1
 
5.6%
울 1
 
5.6%
서 1
 
5.6%
쿨 1
 
5.6%
스 1
 
5.6%
리 1
 
5.6%
Other values (4) 4
22.2%
Common
ValueCountFrequency (%)
/ 42
40.4%
. 36
34.6%
: 17
16.3%
- 3
 
2.9%
1 2
 
1.9%
3 1
 
1.0%
7 1
 
1.0%
9 1
 
1.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419
95.9%
Hangul 18
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 42
 
10.0%
t 37
 
8.8%
. 36
 
8.6%
e 29
 
6.9%
n 25
 
6.0%
s 24
 
5.7%
h 23
 
5.5%
k 18
 
4.3%
a 18
 
4.3%
: 17
 
4.1%
Other values (21) 150
35.8%
Hangul
ValueCountFrequency (%)
원 3
16.7%
치 2
11.1%
유 2
11.1%
실 1
 
5.6%
우 1
 
5.6%
울 1
 
5.6%
서 1
 
5.6%
쿨 1
 
5.6%
스 1
 
5.6%
리 1
 
5.6%
Other values (4) 4
22.2%

운영시간
Categorical

Distinct11
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
07시30분~19시30분
8 
07시00분~20시00분
4 
09시00분~17시00분
3 
07시00분~19시00분
2 
09시00분~19시30분
1 
Other values (6)
6 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique7 ?
Unique (%)29.2%

Sample

1st row09시00분~19시30분
2nd row09시00분~17시00분
3rd row09시00분~17시00분
4th row07시00분~16시30분
5th row07시30분~19시30분

Common Values

ValueCountFrequency (%)
07시30분~19시30분 8
33.3%
07시00분~20시00분 4
16.7%
09시00분~17시00분 3
 
12.5%
07시00분~19시00분 2
 
8.3%
09시00분~19시30분 1
 
4.2%
07시00분~16시30분 1
 
4.2%
09시00분~20시00분 1
 
4.2%
08시00분~20시00분 1
 
4.2%
09시00분~19시00분 1
 
4.2%
09시00분~18시30분 1
 
4.2%

Length

2024-03-14T01:38:19.591059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시30분~19시30분 8
33.3%
07시00분~20시00분 4
16.7%
09시00분~17시00분 3
 
12.5%
07시00분~19시00분 2
 
8.3%
09시00분~19시30분 1
 
4.2%
07시00분~16시30분 1
 
4.2%
09시00분~20시00분 1
 
4.2%
08시00분~20시00분 1
 
4.2%
09시00분~19시00분 1
 
4.2%
09시00분~18시30분 1
 
4.2%

만3세학급수
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
12 
<NA>
5 
2
5 
5
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.625
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 12
50.0%
<NA> 5
20.8%
2 5
20.8%
5 1
 
4.2%
4 1
 
4.2%

Length

2024-03-14T01:38:19.679109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:19.765875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 12
50.0%
na 5
20.8%
2 5
20.8%
5 1
 
4.2%
4 1
 
4.2%

만4세학급수
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
11 
2
6 
<NA>
5 
3
2 

Length

Max length4
Median length1
Mean length1.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 11
45.8%
2 6
25.0%
<NA> 5
20.8%
3 2
 
8.3%

Length

2024-03-14T01:38:19.857209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:19.946157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
45.8%
2 6
25.0%
na 5
20.8%
3 2
 
8.3%

만5세학급수
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
16 
2
4 
<NA>
2 
3
2 

Length

Max length4
Median length1
Mean length1.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
66.7%
2 4
 
16.7%
<NA> 2
 
8.3%
3 2
 
8.3%

Length

2024-03-14T01:38:20.030119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:20.126443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
66.7%
2 4
 
16.7%
na 2
 
8.3%
3 2
 
8.3%

혼합학급수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
19 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row1
2nd row0
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
79.2%
1 4
 
16.7%
2 1
 
4.2%

Length

2024-03-14T01:38:20.229162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:20.304094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
79.2%
1 4
 
16.7%
2 1
 
4.2%

특수학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
1
3 
3
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
1 3
 
12.5%
3 1
 
4.2%

Length

2024-03-14T01:38:20.380723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:20.457258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
1 3
 
12.5%
3 1
 
4.2%

만3세유아수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean18.421053
Minimum2
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T01:38:20.532320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.8
Q17
median11
Q327
95-th percentile48.3
Maximum69
Range67
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.970086
Coefficient of variation (CV)0.97551893
Kurtosis2.153915
Mean18.421053
Median Absolute Deviation (MAD)6
Skewness1.5880685
Sum350
Variance322.92398
MonotonicityNot monotonic
2024-03-14T01:38:20.616473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5 2
 
8.3%
7 2
 
8.3%
8 2
 
8.3%
4 1
 
4.2%
21 1
 
4.2%
13 1
 
4.2%
15 1
 
4.2%
11 1
 
4.2%
9 1
 
4.2%
33 1
 
4.2%
Other values (6) 6
25.0%
(Missing) 5
20.8%
ValueCountFrequency (%)
2 1
4.2%
4 1
4.2%
5 2
8.3%
7 2
8.3%
8 2
8.3%
9 1
4.2%
11 1
4.2%
12 1
4.2%
13 1
4.2%
15 1
4.2%
ValueCountFrequency (%)
69 1
4.2%
46 1
4.2%
39 1
4.2%
36 1
4.2%
33 1
4.2%
21 1
4.2%
15 1
4.2%
13 1
4.2%
12 1
4.2%
11 1
4.2%

만4세유아수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean23.052632
Minimum5
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T01:38:20.698617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q111.5
median18
Q327
95-th percentile61.8
Maximum69
Range64
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation17.20618
Coefficient of variation (CV)0.74638681
Kurtosis2.5294028
Mean23.052632
Median Absolute Deviation (MAD)8
Skewness1.6396996
Sum438
Variance296.05263
MonotonicityNot monotonic
2024-03-14T01:38:20.781723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
16 2
 
8.3%
5 2
 
8.3%
27 2
 
8.3%
10 2
 
8.3%
37 1
 
4.2%
12 1
 
4.2%
61 1
 
4.2%
69 1
 
4.2%
15 1
 
4.2%
18 1
 
4.2%
Other values (5) 5
20.8%
(Missing) 5
20.8%
ValueCountFrequency (%)
5 2
8.3%
10 2
8.3%
11 1
4.2%
12 1
4.2%
15 1
4.2%
16 2
8.3%
18 1
4.2%
20 1
4.2%
21 1
4.2%
26 1
4.2%
ValueCountFrequency (%)
69 1
4.2%
61 1
4.2%
37 1
4.2%
32 1
4.2%
27 2
8.3%
26 1
4.2%
21 1
4.2%
20 1
4.2%
18 1
4.2%
16 2
8.3%

만5세유아수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean24.818182
Minimum11
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T01:38:20.865670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11.05
Q115.25
median20.5
Q329
95-th percentile52.8
Maximum64
Range53
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation14.411095
Coefficient of variation (CV)0.58066682
Kurtosis1.7084694
Mean24.818182
Median Absolute Deviation (MAD)8
Skewness1.4936554
Sum546
Variance207.67965
MonotonicityNot monotonic
2024-03-14T01:38:20.952081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20 2
 
8.3%
21 2
 
8.3%
11 2
 
8.3%
12 2
 
8.3%
29 2
 
8.3%
64 1
 
4.2%
53 1
 
4.2%
13 1
 
4.2%
17 1
 
4.2%
23 1
 
4.2%
Other values (7) 7
29.2%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
11 2
8.3%
12 2
8.3%
13 1
4.2%
15 1
4.2%
16 1
4.2%
17 1
4.2%
18 1
4.2%
20 2
8.3%
21 2
8.3%
23 1
4.2%
ValueCountFrequency (%)
64 1
4.2%
53 1
4.2%
49 1
4.2%
38 1
4.2%
30 1
4.2%
29 2
8.3%
24 1
4.2%
23 1
4.2%
21 2
8.3%
20 2
8.3%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6666667
Minimum0
Maximum47
Zeros19
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T01:38:21.029808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38.65
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.131884
Coefficient of variation (CV)2.1197826
Kurtosis2.742354
Mean6.6666667
Median Absolute Deviation (MAD)0
Skewness1.9774139
Sum160
Variance199.71014
MonotonicityNot monotonic
2024-03-14T01:38:21.105234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 19
79.2%
31 1
 
4.2%
47 1
 
4.2%
19 1
 
4.2%
40 1
 
4.2%
23 1
 
4.2%
ValueCountFrequency (%)
0 19
79.2%
19 1
 
4.2%
23 1
 
4.2%
31 1
 
4.2%
40 1
 
4.2%
47 1
 
4.2%
ValueCountFrequency (%)
47 1
 
4.2%
40 1
 
4.2%
31 1
 
4.2%
23 1
 
4.2%
19 1
 
4.2%
0 19
79.2%

특수유아수
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
4
 
2
3
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.5416667
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
4 2
 
8.3%
3 1
 
4.2%
10 1
 
4.2%

Length

2024-03-14T01:38:21.204506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:21.280677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
4 2
 
8.3%
3 1
 
4.2%
10 1
 
4.2%

공시차수
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
20232
17 
20192
2 
20182
2 
20212
2 
20202
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row20192
2nd row20192
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 17
70.8%
20192 2
 
8.3%
20182 2
 
8.3%
20212 2
 
8.3%
20202 1
 
4.2%

Length

2024-03-14T01:38:21.358905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:38:21.437646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 17
70.8%
20192 2
 
8.3%
20182 2
 
8.3%
20212 2
 
8.3%
20202 1
 
4.2%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청성북강북교육지원청1ecec08c-f0f4-b044-e053-0a32095ab044금성유치원사립(사인)양혜숙곽용택1994072319940723서울특별시 강북구 한천로123길 902-905-6638<NA>09시00분~19시30분<NA><NA><NA>1<NA><NA><NA><NA>31<NA>20192
1서울특별시교육청성북강북교육지원청1ecec08c-f0f5-b044-e053-0a32095ab044동명유치원사립(사인)이정순윤지영1975011519750115서울특별시 강북구 오패산로 13002-989-5723http://cyworld.com/dongmyoungkid09시00분~17시00분1110<NA>916200<NA>20192
2서울특별시교육청성북강북교육지원청1ecec08c-f0f6-b044-e053-0a32095ab044길물빛유치원사립(사인)이선아유진희1991122319911223서울특별시 강북구 인수봉로 26002-902-7775http://cafe.naver.com/sinkukdong09시00분~17시00분<NA><NA>12<NA><NA><NA>3047<NA>20232
3서울특별시교육청성북강북교육지원청1ecec08c-f740-b044-e053-0a32095ab044성실유치원사립(사인)김형수김제면1982071319820713서울특별시 강북구 삼각산로 143-102-905-8700http://www.성실유치원.kr07시00분~16시30분2210<NA>3937290<NA>20232
4서울특별시교육청성북강북교육지원청1ecec08c-f8de-b044-e053-0a32095ab044서울수유초등학교병설유치원공립(병설)고영미고영미2005122920060309서울특별시 강북구 삼양로74길 3902-988-4612http://suyu.sen.es.kr07시30분~19시30분11101512120320232
5서울특별시교육청성북강북교육지원청1ecec08c-f9b8-b044-e053-0a32095ab044아름유치원사립(사인)박해정박해정1986052219860522서울특별시 강북구 도봉로 8802-981-3465http://cafe.daum.net/areum4109시00분~20시00분1110<NA>25120<NA>20182
6서울특별시교육청성북강북교육지원청1ecec08c-fa08-b044-e053-0a32095ab044솔샘유치원사립(사인)이경미조자영2002102320021023서울특별시 강북구 솔샘로 15902-984-1616<NA>07시00분~20시00분5330<NA>6961640<NA>20232
7서울특별시교육청성북강북교육지원청1ecec08c-fa73-b044-e053-0a32095ab044창문유치원사립(법인)곽정윤곽정윤2012030520120305서울특별시 강북구 월계로 6102-943-7780http://changmunkids.kr08시00분~20시00분2320<NA>4669530<NA>20232
8서울특별시교육청성북강북교육지원청1ecec08c-fc25-b044-e053-0a32095ab044운산유치원사립(사인)최라희권정선1985031519850315서울특별시 강북구 수유로4길 5802-982-4622http://cafe.daum.net/han-kids07시30분~19시30분<NA><NA>11<NA><NA><NA>1319<NA>20212
9서울특별시교육청성북강북교육지원청1ecec08c-fe08-b044-e053-0a32095ab044유안유치원사립(사인)국정훈권미옥1983032919830329서울특별시 강북구 인수봉로 29702-904-4576<NA>07시30분~19시30분1110<NA>1215200<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
14서울특별시교육청성북강북교육지원청1ecec08d-0250-b044-e053-0a32095ab044경은유치원사립(사인)최한형최희경1982122719821227서울특별시 강북구 노해로21길 1202-993-2064<NA>09시00분~18시30분1210<NA>827210<NA>20182
15서울특별시교육청성북강북교육지원청1ecec08d-02ae-b044-e053-0a32095ab044서울화계초등학교병설유치원공립(병설)어제우어제우2011102720120307서울특별시 강북구 솔매로50가길 2502-945-6936https://hwagye.sen.es.kr/07시00분~19시00분2120<NA>1116240<NA>20232
16서울특별시교육청성북강북교육지원청1ecec08d-084e-b044-e053-0a32095ab044꿈동산유치원사립(사인)고백희임우영1988041319880502서울특별시 강북구 한천로115길 1502-986-0577<NA>07시00분~20시00분1110<NA>1520110<NA>20232
17서울특별시교육청성북강북교육지원청1ecec08d-0ae5-b044-e053-0a32095ab044인수유치원사립(사인)노명래유진희1989052619890526서울특별시 강북구 인수봉로 29802-993-9180<NA>07시30분~20시00분<NA><NA><NA>1<NA><NA><NA><NA>40<NA>20212
18서울특별시교육청성북강북교육지원청1ecec08d-0cbe-b044-e053-0a32095ab044서울미양초등학교병설유치원공립(병설)이은희이은희1992011519920115서울특별시 강북구 솔샘로 19502-987-4195http://mi-yang.sen.es.kr07시30분~19시30분122011321290420232
19서울특별시교육청성북강북교육지원청1ecec08d-0cc5-b044-e053-0a32095ab044새시대유치원사립(사인)이종희문현숙1984022419840224서울특별시 강북구 도봉로97길 4502-905-0287http://cafe.daum.net/saesidaekids07시30분~19시30분<NA><NA>11<NA><NA><NA>1623<NA>20202
20서울특별시교육청성북강북교육지원청359faa6f-7b25-4e25-b738-71737821c61c서울번동초등학교병설유치원공립(병설)백용범백용범2016010420160308서울특별시 강북구 오현로 20402-987-1866http://beondong.sen.es.kr07시30분~19시30분1110<NA>810180<NA>20232
21서울특별시교육청성북강북교육지원청64af8988-de1b-45a7-81be-11e10d4fa5ef서울수송초등학교병설유치원공립(병설)김희영김희영2021030120210301서울특별시 강북구 한천로124길 1402-6930-5813https://soosong.sen.es.kr/07시30분~19시30분11101710150420232
22서울특별시교육청성북강북교육지원청7e0ce4f2-8d6e-4568-9e83-17a353fee72b서울송천초등학교병설유치원공립(병설)박동호박동호2018030120180301서울특별시 강북구 삼양로20길 2902-982-3334http://song-cheon.kg.kr07시00분~19시00분1110<NA>55110<NA>20232
23서울특별시교육청성북강북교육지원청d6df2050-e2a0-4e60-bffa-db3ae9220338서울우이유치원공립(단설)이미준이미준2020123120210301서울특별시 강북구 삼양로99길 3602-994-8522http://www.서울우이유치원.kr07시30분~19시30분2220321263801020232