Overview

Dataset statistics

Number of variables24
Number of observations50
Missing cells32
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory207.6 B

Variable types

Categorical10
Text7
Numeric7

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20590/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (57.9%)Imbalance
특수유아수 is highly imbalanced (62.7%)Imbalance
홈페이지 has 7 (14.0%) missing valuesMissing
만3세유아수 has 14 (28.0%) missing valuesMissing
만4세유아수 has 9 (18.0%) missing valuesMissing
만5세유아수 has 2 (4.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
전화번호 has unique valuesUnique
만3세유아수 has 1 (2.0%) zerosZeros
만4세유아수 has 1 (2.0%) zerosZeros
만5세유아수 has 1 (2.0%) zerosZeros
혼합유아수 has 43 (86.0%) zerosZeros

Reproduction

Analysis started2024-03-13 18:38:18.400946
Analysis finished2024-03-13 18:38:18.704502
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서울특별시교육청
50 

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 50
100.0%

Length

2024-03-14T03:38:18.750799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:18.830913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 50
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서부교육지원청
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 50
100.0%

Length

2024-03-14T03:38:18.915261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:18.985372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 50
100.0%

유치원코드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:38:19.136453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
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

Unique50 ?
Unique (%)100.0%

Sample

1st row0783b5eb-4c00-4161-9c47-664336825e5a
2nd row1ecec08c-ed16-b044-e053-0a32095ab044
3rd row1ecec08c-ed89-b044-e053-0a32095ab044
4th row1ecec08c-ee12-b044-e053-0a32095ab044
5th row1ecec08c-ee13-b044-e053-0a32095ab044
ValueCountFrequency (%)
0783b5eb-4c00-4161-9c47-664336825e5a 1
 
2.0%
1ecec08d-06b5-b044-e053-0a32095ab044 1
 
2.0%
e120b286-7861-486d-9b3f-f3c7b49f3c1c 1
 
2.0%
1ecec08d-015d-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-015f-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-029e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-02b1-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-041e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ab-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ac-b044-e053-0a32095ab044 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T03:38:19.402049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
56.6%
Lowercase Letter 581
32.3%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
28.0%
4 202
19.8%
5 106
 
10.4%
3 105
 
10.3%
1 78
 
7.7%
9 70
 
6.9%
8 62
 
6.1%
2 62
 
6.1%
7 26
 
2.6%
6 23
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1219
67.7%
Latin 581
32.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
23.4%
4 202
16.6%
- 200
16.4%
5 106
 
8.7%
3 105
 
8.6%
1 78
 
6.4%
9 70
 
5.7%
8 62
 
5.1%
2 62
 
5.1%
7 26
 
2.1%
Latin
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

유치원명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:38:19.594404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.66
Min length4

Characters and Unicode

Total characters383
Distinct characters83
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

Unique50 ?
Unique (%)100.0%

Sample

1st row다우림유치원
2nd row서울연광초등학교병설유치원
3rd row궁전유치원
4th row성아유치원
5th row성균관유치원
ValueCountFrequency (%)
다우림유치원 1
 
2.0%
다우림명문유치원 1
 
2.0%
서울어울초등학교병설유치원 1
 
2.0%
백합유치원 1
 
2.0%
보림유치원 1
 
2.0%
서울수색초등학교병설유치원 1
 
2.0%
서울연신초등학교병설유치원 1
 
2.0%
엔젤유치원 1
 
2.0%
서문유치원 1
 
2.0%
서울은평초등학교병설유치원 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T03:38:19.866016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

설립유형
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
사립(사인)
24 
공립(병설)
13 
사립(법인)
8 
공립(단설)
5 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 24
48.0%
공립(병설) 13
26.0%
사립(법인) 8
 
16.0%
공립(단설) 5
 
10.0%

Length

2024-03-14T03:38:19.989019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:20.079351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 24
48.0%
공립(병설 13
26.0%
사립(법인 8
 
16.0%
공립(단설 5
 
10.0%

대표자명
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:38:20.261291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.32
Min length2

Characters and Unicode

Total characters166
Distinct characters74
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

Unique48 ?
Unique (%)96.0%

Sample

1st row김애리
2nd row홍미애
3rd row백금옥
4th row김영미
5th row이경숙
ValueCountFrequency (%)
김애리 2
 
3.7%
학교법인 2
 
3.7%
김금희 1
 
1.9%
권영기 1
 
1.9%
김현자 1
 
1.9%
주락철 1
 
1.9%
이덕희 1
 
1.9%
김정연 1
 
1.9%
손달익 1
 
1.9%
임윤덕 1
 
1.9%
Other values (42) 42
77.8%
2024-03-14T03:38:20.567650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
7.2%
영 9
 
5.4%
미 7
 
4.2%
숙 7
 
4.2%
박 6
 
3.6%
경 4
 
2.4%
학 4
 
2.4%
정 4
 
2.4%
4
 
2.4%
남 4
 
2.4%
Other values (64) 105
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
97.6%
Space Separator 4
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
7.4%
영 9
 
5.6%
미 7
 
4.3%
숙 7
 
4.3%
박 6
 
3.7%
경 4
 
2.5%
학 4
 
2.5%
정 4
 
2.5%
남 4
 
2.5%
주 4
 
2.5%
Other values (63) 101
62.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
97.6%
Common 4
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
7.4%
영 9
 
5.6%
미 7
 
4.3%
숙 7
 
4.3%
박 6
 
3.7%
경 4
 
2.5%
학 4
 
2.5%
정 4
 
2.5%
남 4
 
2.5%
주 4
 
2.5%
Other values (63) 101
62.3%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
97.6%
ASCII 4
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
7.4%
영 9
 
5.6%
미 7
 
4.3%
숙 7
 
4.3%
박 6
 
3.7%
경 4
 
2.5%
학 4
 
2.5%
정 4
 
2.5%
남 4
 
2.5%
주 4
 
2.5%
Other values (63) 101
62.3%
ASCII
ValueCountFrequency (%)
4
100.0%

원장명
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:38:20.750510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters150
Distinct characters60
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

Unique48 ?
Unique (%)96.0%

Sample

1st row김애리
2nd row홍미애
3rd row백금옥
4th row김영미
5th row이정혜
ValueCountFrequency (%)
김애리 2
 
3.9%
김은숙 1
 
2.0%
김지희 1
 
2.0%
박진희 1
 
2.0%
신미선 1
 
2.0%
주락철 1
 
2.0%
이덕희 1
 
2.0%
이옥자 1
 
2.0%
최희자 1
 
2.0%
임윤덕 1
 
2.0%
Other values (40) 40
78.4%
2024-03-14T03:38:21.042512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 14
 
9.3%
희 9
 
6.0%
정 8
 
5.3%
미 7
 
4.7%
영 6
 
4.0%
숙 6
 
4.0%
이 5
 
3.3%
박 5
 
3.3%
진 4
 
2.7%
금 4
 
2.7%
Other values (50) 82
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
99.3%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
9.4%
희 9
 
6.0%
정 8
 
5.4%
미 7
 
4.7%
영 6
 
4.0%
숙 6
 
4.0%
이 5
 
3.4%
박 5
 
3.4%
진 4
 
2.7%
금 4
 
2.7%
Other values (49) 81
54.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
9.4%
희 9
 
6.0%
정 8
 
5.4%
미 7
 
4.7%
영 6
 
4.0%
숙 6
 
4.0%
이 5
 
3.4%
박 5
 
3.4%
진 4
 
2.7%
금 4
 
2.7%
Other values (49) 81
54.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 14
 
9.4%
희 9
 
6.0%
정 8
 
5.4%
미 7
 
4.7%
영 6
 
4.0%
숙 6
 
4.0%
이 5
 
3.4%
박 5
 
3.4%
진 4
 
2.7%
금 4
 
2.7%
Other values (49) 81
54.4%
ASCII
ValueCountFrequency (%)
1
100.0%

설립일
Real number (ℝ)

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19983336
Minimum19640306
Maximum20230210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:21.150181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19640306
5-th percentile19660253
Q119870303
median20045368
Q320120309
95-th percentile20200301
Maximum20230210
Range589904
Interquartile range (IQR)250006

Descriptive statistics

Standard deviation171636.97
Coefficient of variation (CV)0.0085890049
Kurtosis-0.80787585
Mean19983336
Median Absolute Deviation (MAD)144590
Skewness-0.49687998
Sum9.991668 × 108
Variance2.945925 × 1010
MonotonicityNot monotonic
2024-03-14T03:38:21.253009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20200301 3
 
6.0%
20190301 2
 
4.0%
20170330 1
 
2.0%
20051205 1
 
2.0%
19710205 1
 
2.0%
19860401 1
 
2.0%
19940122 1
 
2.0%
20090301 1
 
2.0%
20120312 1
 
2.0%
19760131 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
19640306 1
2.0%
19651109 1
2.0%
19660214 1
2.0%
19660301 1
2.0%
19670410 1
2.0%
19710205 1
2.0%
19760131 1
2.0%
19830301 1
2.0%
19840315 1
2.0%
19841227 1
2.0%
ValueCountFrequency (%)
20230210 1
 
2.0%
20210901 1
 
2.0%
20200301 3
6.0%
20190301 2
4.0%
20170330 1
 
2.0%
20131209 1
 
2.0%
20121227 1
 
2.0%
20121024 1
 
2.0%
20120401 1
 
2.0%
20120312 1
 
2.0%

개원일
Real number (ℝ)

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19989895
Minimum19640306
Maximum20230210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:21.354531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19640306
5-th percentile19688318
Q119870303
median20045428
Q320120570
95-th percentile20200301
Maximum20230210
Range589904
Interquartile range (IQR)250266.5

Descriptive statistics

Standard deviation168783.98
Coefficient of variation (CV)0.008443465
Kurtosis-0.96070017
Mean19989895
Median Absolute Deviation (MAD)144880
Skewness-0.42169991
Sum9.9949476 × 108
Variance2.8488032 × 1010
MonotonicityNot monotonic
2024-03-14T03:38:21.455163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20200301 3
 
6.0%
20170401 1
 
2.0%
20081217 1
 
2.0%
19860401 1
 
2.0%
19940122 1
 
2.0%
20090401 1
 
2.0%
20120312 1
 
2.0%
19760131 1
 
2.0%
19890301 1
 
2.0%
19870310 1
 
2.0%
Other values (38) 38
76.0%
ValueCountFrequency (%)
19640306 1
2.0%
19660301 1
2.0%
19670410 1
2.0%
19710205 1
2.0%
19730307 1
2.0%
19740308 1
2.0%
19760131 1
2.0%
19831101 1
2.0%
19840315 1
2.0%
19841227 1
2.0%
ValueCountFrequency (%)
20230210 1
 
2.0%
20210901 1
 
2.0%
20200301 3
6.0%
20190501 1
 
2.0%
20190315 1
 
2.0%
20190301 1
 
2.0%
20170401 1
 
2.0%
20140305 1
 
2.0%
20130313 1
 
2.0%
20130301 1
 
2.0%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:38:21.651018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.74
Min length16

Characters and Unicode

Total characters937
Distinct characters45
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

Unique44 ?
Unique (%)88.0%

Sample

1st row서울특별시 은평구 증산로21길 22
2nd row서울특별시 은평구 연서로35길 37
3rd row서울특별시 은평구 갈현로33길 24
4th row서울특별시 은평구 응암로14길 21
5th row서울특별시 은평구 연서로27길 23
ValueCountFrequency (%)
서울특별시 50
25.0%
은평구 50
25.0%
진관4로 3
 
1.5%
진관1로 3
 
1.5%
통일로 3
 
1.5%
갈현로 3
 
1.5%
21 2
 
1.0%
은평로16길 2
 
1.0%
20 2
 
1.0%
22 2
 
1.0%
Other values (69) 80
40.0%
2024-03-14T03:38:21.955554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
16.0%
서 58
 
6.2%
은 57
 
6.1%
평 57
 
6.1%
울 50
 
5.3%
특 50
 
5.3%
별 50
 
5.3%
시 50
 
5.3%
구 50
 
5.3%
로 49
 
5.2%
Other values (35) 316
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
62.5%
Decimal Number 185
 
19.7%
Space Separator 150
 
16.0%
Dash Punctuation 16
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Decimal Number
ValueCountFrequency (%)
1 46
24.9%
2 29
15.7%
3 25
13.5%
7 22
11.9%
5 19
10.3%
4 13
 
7.0%
0 10
 
5.4%
9 9
 
4.9%
6 9
 
4.9%
8 3
 
1.6%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
62.5%
Common 351
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Common
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
62.5%
ASCII 351
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%
Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%

전화번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T03:38:22.165031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.18
Min length11

Characters and Unicode

Total characters559
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row.02-375-2237
2nd row02-353-5977
3rd row02-383-1667
4th row02-303-6004
5th row02-356-5373
ValueCountFrequency (%)
02-375-2237 1
 
2.0%
02-389-6596 1
 
2.0%
02-358-4911 1
 
2.0%
02-353-0855 1
 
2.0%
02-389-3023 1
 
2.0%
02-376-6752 1
 
2.0%
02-384-0374 1
 
2.0%
02-355-8868 1
 
2.0%
02-309-7983 1
 
2.0%
02-384-0407 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T03:38:22.484967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
17.9%
0 99
17.7%
3 81
14.5%
2 76
13.6%
5 54
9.7%
7 28
 
5.0%
6 28
 
5.0%
9 26
 
4.7%
8 25
 
4.5%
1 22
 
3.9%
Other values (3) 20
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 457
81.8%
Dash Punctuation 100
 
17.9%
Other Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
21.7%
3 81
17.7%
2 76
16.6%
5 54
11.8%
7 28
 
6.1%
6 28
 
6.1%
9 26
 
5.7%
8 25
 
5.5%
1 22
 
4.8%
4 18
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
17.9%
0 99
17.7%
3 81
14.5%
2 76
13.6%
5 54
9.7%
7 28
 
5.0%
6 28
 
5.0%
9 26
 
4.7%
8 25
 
4.5%
1 22
 
3.9%
Other values (3) 20
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
17.9%
0 99
17.7%
3 81
14.5%
2 76
13.6%
5 54
9.7%
7 28
 
5.0%
6 28
 
5.0%
9 26
 
4.7%
8 25
 
4.5%
1 22
 
3.9%
Other values (3) 20
 
3.6%

홈페이지
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing7
Missing (%)14.0%
Memory size532.0 B
2024-03-14T03:38:22.680189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length25.418605
Min length16

Characters and Unicode

Total characters1093
Distinct characters50
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st rowhttp://www.yeonkwang.es.kr
2nd rowhttp://kj16667.happyihome.com
3rd rowhttps://sunga.kidsnote.ac
4th rowhttp://www.skkokok.com
5th rowhttp://dongsankid.kidis.co.kr
ValueCountFrequency (%)
http://www.yeonkwang.es.kr 1
 
2.3%
http://rainbowkin.com 1
 
2.3%
https://brkids.happyihome.com 1
 
2.3%
https://www.susaek.es.kr 1
 
2.3%
http://www.yoensin.es.kr 1
 
2.3%
http://kids.seomoonch.org 1
 
2.3%
http://www.eunpyeong.es.kr 1
 
2.3%
http://www.susin.es.kr 1
 
2.3%
https://nature.kidsnote.ac 1
 
2.3%
http://dawoorimelite.kidis.co.kr 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T03:38:22.984874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 108
 
9.9%
/ 98
 
9.0%
t 96
 
8.8%
w 67
 
6.1%
s 57
 
5.2%
k 57
 
5.2%
h 56
 
5.1%
e 55
 
5.0%
p 53
 
4.8%
o 49
 
4.5%
Other values (40) 397
36.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 792
72.5%
Other Punctuation 249
 
22.8%
Other Letter 34
 
3.1%
Decimal Number 18
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 96
12.1%
w 67
 
8.5%
s 57
 
7.2%
k 57
 
7.2%
h 56
 
7.1%
e 55
 
6.9%
p 53
 
6.7%
o 49
 
6.2%
n 48
 
6.1%
r 43
 
5.4%
Other values (14) 211
26.6%
Other Letter
ValueCountFrequency (%)
울 5
14.7%
원 5
14.7%
유 5
14.7%
치 5
14.7%
서 4
11.8%
산 2
 
5.9%
관 1
 
2.9%
북 1
 
2.9%
역 1
 
2.9%
한 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
6 3
16.7%
7 2
11.1%
1 2
11.1%
2 2
11.1%
0 2
11.1%
8 2
11.1%
5 2
11.1%
3 2
11.1%
9 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 108
43.4%
/ 98
39.4%
: 43
 
17.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 792
72.5%
Common 267
 
24.4%
Hangul 34
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 96
12.1%
w 67
 
8.5%
s 57
 
7.2%
k 57
 
7.2%
h 56
 
7.1%
e 55
 
6.9%
p 53
 
6.7%
o 49
 
6.2%
n 48
 
6.1%
r 43
 
5.4%
Other values (14) 211
26.6%
Hangul
ValueCountFrequency (%)
울 5
14.7%
원 5
14.7%
유 5
14.7%
치 5
14.7%
서 4
11.8%
산 2
 
5.9%
관 1
 
2.9%
북 1
 
2.9%
역 1
 
2.9%
한 1
 
2.9%
Other values (4) 4
11.8%
Common
ValueCountFrequency (%)
. 108
40.4%
/ 98
36.7%
: 43
 
16.1%
6 3
 
1.1%
7 2
 
0.7%
1 2
 
0.7%
2 2
 
0.7%
0 2
 
0.7%
8 2
 
0.7%
5 2
 
0.7%
Other values (2) 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1059
96.9%
Hangul 34
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 108
 
10.2%
/ 98
 
9.3%
t 96
 
9.1%
w 67
 
6.3%
s 57
 
5.4%
k 57
 
5.4%
h 56
 
5.3%
e 55
 
5.2%
p 53
 
5.0%
o 49
 
4.6%
Other values (26) 363
34.3%
Hangul
ValueCountFrequency (%)
울 5
14.7%
원 5
14.7%
유 5
14.7%
치 5
14.7%
서 4
11.8%
산 2
 
5.9%
관 1
 
2.9%
북 1
 
2.9%
역 1
 
2.9%
한 1
 
2.9%
Other values (4) 4
11.8%

운영시간
Categorical

Distinct21
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
07시00분~19시00분
7 
07시30분~19시30분
7 
07시00분~20시00분
7 
08시00분~20시00분
3 
08시00분~18시30분
3 
Other values (16)
23 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique10 ?
Unique (%)20.0%

Sample

1st row08시00분~20시00분
2nd row07시00분~19시00분
3rd row09시00분~17시00분
4th row07시00분~20시00분
5th row07시00분~20시00분

Common Values

ValueCountFrequency (%)
07시00분~19시00분 7
14.0%
07시30분~19시30분 7
14.0%
07시00분~20시00분 7
14.0%
08시00분~20시00분 3
 
6.0%
08시00분~18시30분 3
 
6.0%
09시00분~20시00분 3
 
6.0%
09시00분~18시30분 2
 
4.0%
09시00분~18시00분 2
 
4.0%
08시30분~18시30분 2
 
4.0%
07시10분~19시30분 2
 
4.0%
Other values (11) 12
24.0%

Length

2024-03-14T03:38:23.085399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시00분~19시00분 7
14.0%
07시00분~20시00분 7
14.0%
07시30분~19시30분 7
14.0%
08시00분~20시00분 3
 
6.0%
08시00분~18시30분 3
 
6.0%
09시00분~20시00분 3
 
6.0%
08시30분~18시30분 2
 
4.0%
07시10분~19시30분 2
 
4.0%
09시00분~19시00분 2
 
4.0%
09시00분~18시00분 2
 
4.0%
Other values (11) 12
24.0%

만3세학급수
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
19 
<NA>
14 
2
13 
3
4 

Length

Max length4
Median length1
Mean length1.84
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
38.0%
<NA> 14
28.0%
2 13
26.0%
3 4
 
8.0%

Length

2024-03-14T03:38:23.176212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:23.256953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
38.0%
na 14
28.0%
2 13
26.0%
3 4
 
8.0%

만4세학급수
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
17 
2
15 
<NA>
9 
3
6 
4
3 

Length

Max length4
Median length1
Mean length1.54
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
34.0%
2 15
30.0%
<NA> 9
18.0%
3 6
 
12.0%
4 3
 
6.0%

Length

2024-03-14T03:38:23.343256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:23.420429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
34.0%
2 15
30.0%
na 9
18.0%
3 6
 
12.0%
4 3
 
6.0%

만5세학급수
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
23 
2
20 
3
5 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.12
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
46.0%
2 20
40.0%
3 5
 
10.0%
<NA> 2
 
4.0%

Length

2024-03-14T03:38:23.510026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:23.586101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
46.0%
2 20
40.0%
3 5
 
10.0%
na 2
 
4.0%

혼합학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
43 
1
6 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 43
86.0%
1 6
 
12.0%
2 1
 
2.0%

Length

2024-03-14T03:38:23.664075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:23.735074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 43
86.0%
1 6
 
12.0%
2 1
 
2.0%

특수학급수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
43 
1
7 

Length

Max length4
Median length4
Mean length3.58
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> 43
86.0%
1 7
 
14.0%

Length

2024-03-14T03:38:23.812314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:23.883641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
86.0%
1 7
 
14.0%

만3세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)80.6%
Missing14
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean23.722222
Minimum0
Maximum57
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:24.179334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q112.5
median20.5
Q336
95-th percentile50.25
Maximum57
Range57
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation15.52806
Coefficient of variation (CV)0.65457862
Kurtosis-0.81265398
Mean23.722222
Median Absolute Deviation (MAD)11
Skewness0.5401829
Sum854
Variance241.12063
MonotonicityNot monotonic
2024-03-14T03:38:24.264503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
14 3
 
6.0%
18 2
 
4.0%
36 2
 
4.0%
21 2
 
4.0%
13 2
 
4.0%
9 2
 
4.0%
23 1
 
2.0%
20 1
 
2.0%
10 1
 
2.0%
27 1
 
2.0%
Other values (19) 19
38.0%
(Missing) 14
28.0%
ValueCountFrequency (%)
0 1
 
2.0%
3 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
7 1
 
2.0%
9 2
4.0%
10 1
 
2.0%
11 1
 
2.0%
13 2
4.0%
14 3
6.0%
ValueCountFrequency (%)
57 1
2.0%
51 1
2.0%
50 1
2.0%
47 1
2.0%
46 1
2.0%
44 1
2.0%
42 1
2.0%
40 1
2.0%
36 2
4.0%
34 1
2.0%

만4세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)70.7%
Missing9
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean32.219512
Minimum0
Maximum106
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:24.411639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median28
Q345
95-th percentile70
Maximum106
Range106
Interquartile range (IQR)32

Descriptive statistics

Standard deviation23.944219
Coefficient of variation (CV)0.74315895
Kurtosis0.95891077
Mean32.219512
Median Absolute Deviation (MAD)16
Skewness1.0293934
Sum1321
Variance573.32561
MonotonicityNot monotonic
2024-03-14T03:38:24.533848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
41 3
 
6.0%
8 3
 
6.0%
13 3
 
6.0%
57 2
 
4.0%
6 2
 
4.0%
18 2
 
4.0%
14 2
 
4.0%
44 2
 
4.0%
45 2
 
4.0%
20 1
 
2.0%
Other values (19) 19
38.0%
(Missing) 9
18.0%
ValueCountFrequency (%)
0 1
 
2.0%
6 2
4.0%
7 1
 
2.0%
8 3
6.0%
10 1
 
2.0%
13 3
6.0%
14 2
4.0%
15 1
 
2.0%
18 2
4.0%
19 1
 
2.0%
ValueCountFrequency (%)
106 1
2.0%
85 1
2.0%
70 1
2.0%
68 1
2.0%
61 1
2.0%
57 2
4.0%
54 1
2.0%
49 1
2.0%
45 2
4.0%
44 2
4.0%

만5세유아수
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)66.7%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean31.8125
Minimum0
Maximum89
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:24.625154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q117.5
median26.5
Q345.75
95-th percentile63.55
Maximum89
Range89
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation19.247168
Coefficient of variation (CV)0.60501902
Kurtosis0.11907164
Mean31.8125
Median Absolute Deviation (MAD)12.5
Skewness0.80570141
Sum1527
Variance370.45346
MonotonicityNot monotonic
2024-03-14T03:38:24.715626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19 5
 
10.0%
14 4
 
8.0%
20 3
 
6.0%
45 3
 
6.0%
27 2
 
4.0%
30 2
 
4.0%
13 2
 
4.0%
11 2
 
4.0%
56 2
 
4.0%
22 1
 
2.0%
Other values (22) 22
44.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
0 1
 
2.0%
10 1
 
2.0%
11 2
 
4.0%
13 2
 
4.0%
14 4
8.0%
15 1
 
2.0%
16 1
 
2.0%
18 1
 
2.0%
19 5
10.0%
20 3
6.0%
ValueCountFrequency (%)
89 1
2.0%
67 1
2.0%
66 1
2.0%
59 1
2.0%
57 1
2.0%
56 2
4.0%
55 1
2.0%
53 1
2.0%
52 1
2.0%
51 1
2.0%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.32
Minimum0
Maximum50
Zeros43
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:24.794577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.75
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.8984369
Coefficient of variation (CV)3.4044987
Kurtosis27.994575
Mean2.32
Median Absolute Deviation (MAD)0
Skewness4.9473571
Sum116
Variance62.385306
MonotonicityNot monotonic
2024-03-14T03:38:24.870773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 43
86.0%
8 2
 
4.0%
50 1
 
2.0%
18 1
 
2.0%
7 1
 
2.0%
15 1
 
2.0%
10 1
 
2.0%
ValueCountFrequency (%)
0 43
86.0%
7 1
 
2.0%
8 2
 
4.0%
10 1
 
2.0%
15 1
 
2.0%
18 1
 
2.0%
50 1
 
2.0%
ValueCountFrequency (%)
50 1
 
2.0%
18 1
 
2.0%
15 1
 
2.0%
10 1
 
2.0%
8 2
 
4.0%
7 1
 
2.0%
0 43
86.0%

특수유아수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
43 
5
5 
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.58
Min length1

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
86.0%
5 5
 
10.0%
3 1
 
2.0%
4 1
 
2.0%

Length

2024-03-14T03:38:24.969908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:38:25.054843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
86.0%
5 5
 
10.0%
3 1
 
2.0%
4 1
 
2.0%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.8
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T03:38:25.122617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20192
Q120224.5
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.608736
Coefficient of variation (CV)0.00077180038
Kurtosis1.342488
Mean20223.8
Median Absolute Deviation (MAD)0
Skewness-1.686889
Sum1011190
Variance243.63265
MonotonicityNot monotonic
2024-03-14T03:38:25.202092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 37
74.0%
20192 5
 
10.0%
20212 3
 
6.0%
20222 2
 
4.0%
20182 2
 
4.0%
20202 1
 
2.0%
ValueCountFrequency (%)
20182 2
 
4.0%
20192 5
 
10.0%
20202 1
 
2.0%
20212 3
 
6.0%
20222 2
 
4.0%
20232 37
74.0%
ValueCountFrequency (%)
20232 37
74.0%
20222 2
 
4.0%
20212 3
 
6.0%
20202 1
 
2.0%
20192 5
 
10.0%
20182 2
 
4.0%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)김애리김애리2017033020170401서울특별시 은평구 증산로21길 22.02-375-2237<NA>08시00분~20시00분1110<NA>1328160<NA>20222
1서울특별시교육청서부교육지원청1ecec08c-ed16-b044-e053-0a32095ab044서울연광초등학교병설유치원공립(병설)홍미애홍미애2004042820040428서울특별시 은평구 연서로35길 3702-353-5977http://www.yeonkwang.es.kr07시00분~19시00분1110<NA>58100<NA>20232
2서울특별시교육청서부교육지원청1ecec08c-ed89-b044-e053-0a32095ab044궁전유치원사립(사인)백금옥백금옥1997021419970214서울특별시 은평구 갈현로33길 2402-383-1667http://kj16667.happyihome.com09시00분~17시00분1110<NA>98190<NA>20182
3서울특별시교육청서부교육지원청1ecec08c-ee12-b044-e053-0a32095ab044성아유치원사립(사인)김영미김영미2006081620060816서울특별시 은평구 응암로14길 2102-303-6004https://sunga.kidsnote.ac07시00분~20시00분1210<NA>1729350<NA>20232
4서울특별시교육청서부교육지원청1ecec08c-ee13-b044-e053-0a32095ab044성균관유치원사립(사인)이경숙이정혜2007030120070301서울특별시 은평구 연서로27길 2302-356-5373http://www.skkokok.com07시00분~20시00분1320<NA>2070450<NA>20232
5서울특별시교육청서부교육지원청1ecec08c-ee3d-b044-e053-0a32095ab044동산유치원사립(법인)임남희임남희1983030119831101서울특별시 은평구 증산서길 53-902-372-3030http://dongsankid.kidis.co.kr07시30분~19시30분1220<NA>2341270<NA>20232
6서울특별시교육청서부교육지원청1ecec08c-eed7-b044-e053-0a32095ab044서울신도초등학교병설유치원공립(병설)김재영김재영1994062419940910서울특별시 은평구 진관1로 77-2302-352-3693http://www.sindo.sen.es.kr07시00분~19시00분<NA>1101<NA>7140320232
7서울특별시교육청서부교육지원청1ecec08c-f13b-b044-e053-0a32095ab044서울진관유치원공립(단설)김미숙김미숙2012010520120626서울특별시 은평구 진관2로 111-1602-352-9042http://www.서울진관유치원.kr/07시30분~19시30분222011818300520232
8서울특별시교육청서부교육지원청1ecec08c-f13c-b044-e053-0a32095ab044서울은빛유치원공립(단설)윤향금윤향금2012040120120401서울특별시 은평구 진관3로 73-1102-353-2230http://www.seouleunbit.kg.kr/07시10분~19시30분222012135450520232
9서울특별시교육청서부교육지원청1ecec08c-f19a-b044-e053-0a32095ab044선일유치원사립(법인)박 준옥박 준옥1967041019670410서울특별시 은평구 갈현로29길 2702-355-2049http://www.sunilkids.co.kr09시30분~18시00분1220<NA>2249390<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
40서울특별시교육청서부교육지원청1ecec08d-09db-b044-e053-0a32095ab044바다의별유치원사립(법인)노정미김명숙1987030119870301서울특별시 은평구 통일로 790-102-387-0325https://cafe.naver.com/387032509시00분~18시30분1120<NA>1421320<NA>20232
41서울특별시교육청서부교육지원청1ecec08d-0ba5-b044-e053-0a32095ab044숲유치원사립(사인)구본형 최미숙김지애2012021720120217서울특별시 은평구 진관2로 3702-357-6100http://www.숲유치원.kr09시00분~17시30분3430<NA>5785590<NA>20232
42서울특별시교육청서부교육지원청1ecec08d-0e41-b044-e053-0a32095ab044새보람유치원사립(사인)한상욱정희자1990120119901201서울특별시 은평구 불광로 10702-358-1019http://cafe.daum.net/saeboram07시00분~20시00분<NA><NA><NA>1<NA><NA><NA><NA>10<NA>20232
43서울특별시교육청서부교육지원청799c1c12-8e72-44b1-80ba-84c6907a6037서울불광초등학교병설유치원공립(병설)김미경김미경2021090120210901서울특별시 은평구 불광로 5102-2039-1228https://bulgwang.sen.es.kr07시00분~20시00분1110<NA>118190<NA>20232
44서울특별시교육청서부교육지원청7a2cc871-7f4c-4c45-b4a9-5610093f33fa서울응암초등학교병설유치원공립(병설)손영손영2019030120190501서울특별시 은평구 가좌로6길 2002-308-1407https://eungam.sen.es.kr/07시00분~20시00분111011415190420232
45서울특별시교육청서부교육지원청a4246c73-08e0-4da3-8211-ad2976de52ea은평하랑유치원사립(사인)송지연송지연2023021020230210서울특별시 은평구 은평로16길 9-102-356-6701https://harang.kidsnote.ac07시30분~19시30분12<NA>0<NA>919<NA>0<NA>20232
46서울특별시교육청서부교육지원청abfb8257-6e64-417e-9fb4-1e145a31f5fe서울산울림유치원공립(단설)강경숙강경숙2020030120200301서울특별시 은평구 진관4로 9302-6353-9700http://www.서울산울림유치원.kr07시00분~19시00분222012124270520232
47서울특별시교육청서부교육지원청ccb06417-04c0-411a-b29e-6ff1a22fabab서울북한산유치원공립(단설)성구진성구진2020030120200301서울특별시 은평구 진관1로 77-1502-6353-9900http://www.서울북한산유치원.kr07시10분~19시30분332012730200520232
48서울특별시교육청서부교육지원청e120b286-7861-486d-9b3f-f3c7b49f3c1c서울어울초등학교병설유치원공립(병설)유경미유경미2019030120190301서울특별시 은평구 통일로 65002-358-4911https://urwool.sen.es.kr/index.do07시00분~19시00분1110<NA>1014240<NA>20232
49서울특별시교육청서부교육지원청e7796971-1ca3-445b-a672-a03730995574서울역촌유치원공립(단설)박영주박영주2020030120200301서울특별시 은평구 진흥로7길 2502-6353-9800http://www.서울역촌유치원.kr07시00분~19시00분<NA><NA>20<NA><NA><NA>260<NA>20232