Overview

Dataset statistics

Number of variables24
Number of observations61
Missing cells48
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory207.2 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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20594/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (69.2%)Imbalance
특수학급수 is highly imbalanced (57.9%)Imbalance
특수유아수 is highly imbalanced (67.1%)Imbalance
홈페이지 has 23 (37.7%) missing valuesMissing
만3세유아수 has 10 (16.4%) missing valuesMissing
만4세유아수 has 9 (14.8%) missing valuesMissing
만5세유아수 has 6 (9.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대표자명 has unique valuesUnique
원장명 has unique valuesUnique
전화번호 has unique valuesUnique
혼합유아수 has 56 (91.8%) zerosZeros

Reproduction

Analysis started2024-03-13 07:20:02.439520
Analysis finished2024-03-13 07:20:02.782932
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
서울특별시교육청
61 

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 61
100.0%

Length

2024-03-13T16:20:02.832236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:02.903324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 61
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강서양천교육지원청
61 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

Length

2024-03-13T16:20:02.990035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:03.072840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

유치원코드
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T16:20:03.233499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2196
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

Unique61 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed82-b044-e053-0a32095ab044
2nd row1ecec08c-eec6-b044-e053-0a32095ab044
3rd row1ecec08c-eec7-b044-e053-0a32095ab044
4th row1ecec08c-ef9c-b044-e053-0a32095ab044
5th row1ecec08c-f199-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed82-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-04c7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-05b9-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-06b7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08ba-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08bd-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0993-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-09f0-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0b2b-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0c02-b044-e053-0a32095ab044 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T16:20:03.623399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1226
55.8%
Lowercase Letter 726
33.1%
Dash Punctuation 244
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
26.5%
4 218
17.8%
5 138
11.3%
3 131
10.7%
8 88
 
7.2%
9 87
 
7.1%
1 81
 
6.6%
2 78
 
6.4%
7 44
 
3.6%
6 36
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
66.9%
Latin 726
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
22.1%
- 244
16.6%
4 218
14.8%
5 138
9.4%
3 131
8.9%
8 88
 
6.0%
9 87
 
5.9%
1 81
 
5.5%
2 78
 
5.3%
7 44
 
3.0%
Latin
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

유치원명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T16:20:03.822820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.4098361
Min length5

Characters and Unicode

Total characters452
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

Unique61 ?
Unique (%)100.0%

Sample

1st row서울공항초등학교병설유치원
2nd row한나유치원
3rd row화곡유치원
4th row선미유치원
5th row서울공진초등학교병설유치원
ValueCountFrequency (%)
서울공항초등학교병설유치원 1
 
1.6%
동그라미유치원 1
 
1.6%
등촌제일유치원 1
 
1.6%
미래클유치원 1
 
1.6%
장미유치원 1
 
1.6%
홍신유치원 1
 
1.6%
아람유치원 1
 
1.6%
서울화일초등학교병설유치원 1
 
1.6%
윤서유치원 1
 
1.6%
미도유치원 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T16:20:04.111864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

설립유형
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
사립(사인)
39 
공립(병설)
15 
사립(법인)
4 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 39
63.9%
공립(병설) 15
 
24.6%
사립(법인) 4
 
6.6%
공립(단설) 3
 
4.9%

Length

2024-03-13T16:20:04.220468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:04.307053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 39
63.9%
공립(병설 15
 
24.6%
사립(법인 4
 
6.6%
공립(단설 3
 
4.9%

대표자명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T16:20:04.517378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.557377
Min length2

Characters and Unicode

Total characters217
Distinct characters82
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

Unique61 ?
Unique (%)100.0%

Sample

1st row천종만
2nd row정애선 임진열
3rd row김영
4th row정순택
5th row김장균
ValueCountFrequency (%)
천종만 1
 
1.5%
이기원 1
 
1.5%
재단법인예수교대한성결교회유지재단 1
 
1.5%
김지언 1
 
1.5%
윤혜진 1
 
1.5%
나경민 1
 
1.5%
윤지향 1
 
1.5%
최정애 1
 
1.5%
전기옥 1
 
1.5%
최순임 1
 
1.5%
Other values (56) 56
84.8%
2024-03-13T16:20:04.852903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 19
 
8.8%
정 9
 
4.1%
이 9
 
4.1%
영 9
 
4.1%
숙 8
 
3.7%
순 7
 
3.2%
최 7
 
3.2%
기 6
 
2.8%
경 6
 
2.8%
6
 
2.8%
Other values (72) 131
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
97.2%
Space Separator 6
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 19
 
9.0%
정 9
 
4.3%
이 9
 
4.3%
영 9
 
4.3%
숙 8
 
3.8%
순 7
 
3.3%
최 7
 
3.3%
기 6
 
2.8%
경 6
 
2.8%
진 5
 
2.4%
Other values (71) 126
59.7%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
97.2%
Common 6
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 19
 
9.0%
정 9
 
4.3%
이 9
 
4.3%
영 9
 
4.3%
숙 8
 
3.8%
순 7
 
3.3%
최 7
 
3.3%
기 6
 
2.8%
경 6
 
2.8%
진 5
 
2.4%
Other values (71) 126
59.7%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
97.2%
ASCII 6
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 19
 
9.0%
정 9
 
4.3%
이 9
 
4.3%
영 9
 
4.3%
숙 8
 
3.8%
순 7
 
3.3%
최 7
 
3.3%
기 6
 
2.8%
경 6
 
2.8%
진 5
 
2.4%
Other values (71) 126
59.7%
ASCII
ValueCountFrequency (%)
6
100.0%

원장명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T16:20:05.062919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9836066
Min length2

Characters and Unicode

Total characters182
Distinct characters72
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

Unique61 ?
Unique (%)100.0%

Sample

1st row천종만
2nd row김옥수
3rd row김영
4th row소은영
5th row김장균
ValueCountFrequency (%)
천종만 1
 
1.6%
윤선주 1
 
1.6%
조기염 1
 
1.6%
윤종화 1
 
1.6%
윤혜진 1
 
1.6%
나경민 1
 
1.6%
윤지향 1
 
1.6%
최정애 1
 
1.6%
주유리 1
 
1.6%
최순임 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T16:20:05.408281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 17
 
9.3%
정 10
 
5.5%
최 9
 
4.9%
숙 8
 
4.4%
이 6
 
3.3%
희 5
 
2.7%
영 5
 
2.7%
은 5
 
2.7%
한 5
 
2.7%
순 5
 
2.7%
Other values (62) 107
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 17
 
9.3%
정 10
 
5.5%
최 9
 
4.9%
숙 8
 
4.4%
이 6
 
3.3%
희 5
 
2.7%
영 5
 
2.7%
은 5
 
2.7%
한 5
 
2.7%
순 5
 
2.7%
Other values (62) 107
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 17
 
9.3%
정 10
 
5.5%
최 9
 
4.9%
숙 8
 
4.4%
이 6
 
3.3%
희 5
 
2.7%
영 5
 
2.7%
은 5
 
2.7%
한 5
 
2.7%
순 5
 
2.7%
Other values (62) 107
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 17
 
9.3%
정 10
 
5.5%
최 9
 
4.9%
숙 8
 
4.4%
이 6
 
3.3%
희 5
 
2.7%
영 5
 
2.7%
은 5
 
2.7%
한 5
 
2.7%
순 5
 
2.7%
Other values (62) 107
58.8%

설립일
Real number (ℝ)

Distinct56
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20011841
Minimum19730129
Maximum20220301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:05.526679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730129
5-th percentile19821006
Q119930311
median19990120
Q320141128
95-th percentile20190711
Maximum20220301
Range490172
Interquartile range (IQR)210817

Descriptive statistics

Standard deviation129856.4
Coefficient of variation (CV)0.006488978
Kurtosis-1.1996897
Mean20011841
Median Absolute Deviation (MAD)119309
Skewness-0.064747538
Sum1.2207223 × 109
Variance1.6862684 × 1010
MonotonicityNot monotonic
2024-03-13T16:20:05.763422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150301 3
 
4.9%
20180301 2
 
3.3%
20220301 2
 
3.3%
20190711 2
 
3.3%
19920120 1
 
1.6%
19931202 1
 
1.6%
19880122 1
 
1.6%
19900905 1
 
1.6%
19890331 1
 
1.6%
20081121 1
 
1.6%
Other values (46) 46
75.4%
ValueCountFrequency (%)
19730129 1
1.6%
19800310 1
1.6%
19820405 1
1.6%
19821006 1
1.6%
19830401 1
1.6%
19830801 1
1.6%
19840920 1
1.6%
19850806 1
1.6%
19860901 1
1.6%
19870227 1
1.6%
ValueCountFrequency (%)
20220301 2
3.3%
20190711 2
3.3%
20180927 1
 
1.6%
20180309 1
 
1.6%
20180301 2
3.3%
20170228 1
 
1.6%
20160224 1
 
1.6%
20151125 1
 
1.6%
20150301 3
4.9%
20150225 1
 
1.6%

개원일
Real number (ℝ)

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20017713
Minimum19730313
Maximum20220311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:05.935662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730313
5-th percentile19830401
Q119931001
median20030401
Q320150301
95-th percentile20190901
Maximum20220311
Range489998
Interquartile range (IQR)219300

Descriptive statistics

Standard deviation129010.47
Coefficient of variation (CV)0.0064448157
Kurtosis-1.1381699
Mean20017713
Median Absolute Deviation (MAD)110281
Skewness-0.15295516
Sum1.2210805 × 109
Variance1.6643702 × 1010
MonotonicityNot monotonic
2024-03-13T16:20:06.065660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150301 2
 
3.3%
20180301 2
 
3.3%
20160302 2
 
3.3%
20090305 1
 
1.6%
19900905 1
 
1.6%
19890331 1
 
1.6%
20081121 1
 
1.6%
19930317 1
 
1.6%
19840920 1
 
1.6%
19950222 1
 
1.6%
Other values (48) 48
78.7%
ValueCountFrequency (%)
19730313 1
1.6%
19800310 1
1.6%
19821006 1
1.6%
19830401 1
1.6%
19830404 1
1.6%
19830801 1
1.6%
19840920 1
1.6%
19850806 1
1.6%
19860901 1
1.6%
19870227 1
1.6%
ValueCountFrequency (%)
20220311 1
1.6%
20220301 1
1.6%
20190902 1
1.6%
20190901 1
1.6%
20190301 1
1.6%
20180309 1
1.6%
20180301 2
3.3%
20170301 1
1.6%
20160302 2
3.3%
20150414 1
1.6%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T16:20:06.300182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.885246
Min length15

Characters and Unicode

Total characters1152
Distinct characters58
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

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강서구 마곡서1로 68
2nd row서울특별시 강서구 금낭화로 287-19
3rd row서울특별시 강서구 까치산로 60
4th row서울특별시 강서구 까치산로2길 43
5th row서울특별시 강서구 마곡서로 33
ValueCountFrequency (%)
서울특별시 61
25.0%
강서구 61
25.0%
허준로 9
 
3.7%
39 3
 
1.2%
금낭화로 3
 
1.2%
강서로 3
 
1.2%
까치산로 2
 
0.8%
8 2
 
0.8%
마곡서1로 2
 
0.8%
4 2
 
0.8%
Other values (88) 96
39.3%
2024-03-13T16:20:06.659249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
15.9%
서 135
 
11.7%
강 71
 
6.2%
특 61
 
5.3%
별 61
 
5.3%
시 61
 
5.3%
구 61
 
5.3%
울 61
 
5.3%
로 61
 
5.3%
1 43
 
3.7%
Other values (48) 354
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
64.6%
Decimal Number 219
 
19.0%
Space Separator 183
 
15.9%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Decimal Number
ValueCountFrequency (%)
1 43
19.6%
3 35
16.0%
6 26
11.9%
4 22
10.0%
2 21
9.6%
7 16
 
7.3%
0 15
 
6.8%
5 14
 
6.4%
8 14
 
6.4%
9 13
 
5.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
64.6%
Common 408
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Common
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
64.6%
ASCII 408
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%
Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%

전화번호
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T16:20:06.873611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.983607
Min length11

Characters and Unicode

Total characters731
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row02-2661-4560
2nd row02-2666-1004
3rd row02-2697-3104
4th row02-2606-3341
5th row02-2223-2391
ValueCountFrequency (%)
02-2661-4560 1
 
1.6%
02-2691-2525 1
 
1.6%
02-3663-6043 1
 
1.6%
02-2667-7979 1
 
1.6%
02-2668-0262 1
 
1.6%
02-2664-6456 1
 
1.6%
02-2664-8888 1
 
1.6%
02-2602-2139 1
 
1.6%
02-2605-2277 1
 
1.6%
02-2651-5079 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T16:20:07.190690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 159
21.8%
- 120
16.4%
6 109
14.9%
0 100
13.7%
3 49
 
6.7%
1 38
 
5.2%
5 37
 
5.1%
4 36
 
4.9%
9 35
 
4.8%
7 32
 
4.4%
Other values (2) 16
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.4%
Dash Punctuation 120
 
16.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 159
26.1%
6 109
17.9%
0 100
16.4%
3 49
 
8.0%
1 38
 
6.2%
5 37
 
6.1%
4 36
 
5.9%
9 35
 
5.7%
7 32
 
5.2%
8 15
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 731
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 159
21.8%
- 120
16.4%
6 109
14.9%
0 100
13.7%
3 49
 
6.7%
1 38
 
5.2%
5 37
 
5.1%
4 36
 
4.9%
9 35
 
4.8%
7 32
 
4.4%
Other values (2) 16
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 159
21.8%
- 120
16.4%
6 109
14.9%
0 100
13.7%
3 49
 
6.7%
1 38
 
5.2%
5 37
 
5.1%
4 36
 
4.9%
9 35
 
4.8%
7 32
 
4.4%
Other values (2) 16
 
2.2%

홈페이지
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing23
Missing (%)37.7%
Memory size620.0 B
2024-03-13T16:20:07.378552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length25.947368
Min length19

Characters and Unicode

Total characters986
Distinct characters48
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowhttps://konghang.sen.es.kr/
2nd rowhttps://cafe.naver.com/sunmikinder3341
3rd rowhttp://kongjin.sen.es.kr
4th rowhttp://www.borakid.com
5th rowhttp://cafe.naver.com/seokangkids
ValueCountFrequency (%)
http://www.daeyoo1.com 1
 
2.6%
https://konghang.sen.es.kr 1
 
2.6%
https://www.hongshin1984.co.kr 1
 
2.6%
http://www.hwail.es.kr 1
 
2.6%
http://www.midokid.or.kr 1
 
2.6%
http://woohyunchild.kidis.co.kr 1
 
2.6%
http://cafe.naver.com/yunheekindergarten 1
 
2.6%
http://www.서울마곡유치원.kr 1
 
2.6%
http://www.서울수명유치원.kr 1
 
2.6%
https://kayang.sen.es.kr 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T16:20:07.667303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 99
 
10.0%
/ 90
 
9.1%
t 83
 
8.4%
s 63
 
6.4%
e 59
 
6.0%
w 58
 
5.9%
k 52
 
5.3%
h 51
 
5.2%
n 48
 
4.9%
o 44
 
4.5%
Other values (38) 339
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 718
72.8%
Other Punctuation 227
 
23.0%
Other Letter 27
 
2.7%
Decimal Number 13
 
1.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 83
11.6%
s 63
 
8.8%
e 59
 
8.2%
w 58
 
8.1%
k 52
 
7.2%
h 51
 
7.1%
n 48
 
6.7%
o 44
 
6.1%
p 41
 
5.7%
r 37
 
5.2%
Other values (14) 182
25.3%
Other Letter
ValueCountFrequency (%)
유 4
14.8%
원 4
14.8%
치 4
14.8%
울 3
11.1%
서 3
11.1%
수 1
 
3.7%
명 1
 
3.7%
화 1
 
3.7%
곡 1
 
3.7%
마 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
9 3
23.1%
4 2
15.4%
3 2
15.4%
8 1
 
7.7%
0 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 99
43.6%
/ 90
39.6%
: 38
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 718
72.8%
Common 241
 
24.4%
Hangul 27
 
2.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 83
11.6%
s 63
 
8.8%
e 59
 
8.2%
w 58
 
8.1%
k 52
 
7.2%
h 51
 
7.1%
n 48
 
6.7%
o 44
 
6.1%
p 41
 
5.7%
r 37
 
5.2%
Other values (14) 182
25.3%
Hangul
ValueCountFrequency (%)
유 4
14.8%
원 4
14.8%
치 4
14.8%
울 3
11.1%
서 3
11.1%
수 1
 
3.7%
명 1
 
3.7%
화 1
 
3.7%
곡 1
 
3.7%
마 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
. 99
41.1%
/ 90
37.3%
: 38
 
15.8%
1 4
 
1.7%
9 3
 
1.2%
4 2
 
0.8%
3 2
 
0.8%
8 1
 
0.4%
0 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 959
97.3%
Hangul 27
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 99
 
10.3%
/ 90
 
9.4%
t 83
 
8.7%
s 63
 
6.6%
e 59
 
6.2%
w 58
 
6.0%
k 52
 
5.4%
h 51
 
5.3%
n 48
 
5.0%
o 44
 
4.6%
Other values (24) 312
32.5%
Hangul
ValueCountFrequency (%)
유 4
14.8%
원 4
14.8%
치 4
14.8%
울 3
11.1%
서 3
11.1%
수 1
 
3.7%
명 1
 
3.7%
화 1
 
3.7%
곡 1
 
3.7%
마 1
 
3.7%
Other values (4) 4
14.8%

운영시간
Categorical

Distinct17
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
07시30분~19시30분
14 
07시00분~19시00분
11 
07시00분~20시00분
6 
08시00분~18시00분
5 
09시00분~17시00분
5 
Other values (12)
20 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique8 ?
Unique (%)13.1%

Sample

1st row07시30분~19시30분
2nd row07시00분~20시00분
3rd row08시00분~18시00분
4th row08시00분~18시00분
5th row07시00분~19시00분

Common Values

ValueCountFrequency (%)
07시30분~19시30분 14
23.0%
07시00분~19시00분 11
18.0%
07시00분~20시00분 6
9.8%
08시00분~18시00분 5
 
8.2%
09시00분~17시00분 5
 
8.2%
09시00분~18시00분 4
 
6.6%
08시00분~18시30분 4
 
6.6%
09시00분~18시30분 2
 
3.3%
08시00분~19시00분 2
 
3.3%
09시00분~13시00분 1
 
1.6%
Other values (7) 7
11.5%

Length

2024-03-13T16:20:07.784777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07시30분~19시30분 14
23.0%
07시00분~19시00분 11
18.0%
07시00분~20시00분 6
9.8%
08시00분~18시00분 5
 
8.2%
09시00분~17시00분 5
 
8.2%
09시00분~18시00분 4
 
6.6%
08시00분~18시30분 4
 
6.6%
08시00분~19시00분 2
 
3.3%
09시00분~18시30분 2
 
3.3%
09시00분~13시00분 1
 
1.6%
Other values (7) 7
11.5%

만3세학급수
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
32 
2
17 
<NA>
10 
5
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.4918033
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
52.5%
2 17
27.9%
<NA> 10
 
16.4%
5 1
 
1.6%
3 1
 
1.6%

Length

2024-03-13T16:20:07.912555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:08.041771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
52.5%
2 17
27.9%
na 10
 
16.4%
5 1
 
1.6%
3 1
 
1.6%

만4세학급수
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
25 
2
23 
<NA>
9 
3
3 
4
 
1

Length

Max length4
Median length1
Mean length1.442623
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
41.0%
2 23
37.7%
<NA> 9
 
14.8%
3 3
 
4.9%
4 1
 
1.6%

Length

2024-03-13T16:20:08.152605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:08.242217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
41.0%
2 23
37.7%
na 9
 
14.8%
3 3
 
4.9%
4 1
 
1.6%

만5세학급수
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
29 
2
18 
3
7 
<NA>
6 
4
 
1

Length

Max length4
Median length1
Mean length1.295082
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
47.5%
2 18
29.5%
3 7
 
11.5%
<NA> 6
 
9.8%
4 1
 
1.6%

Length

2024-03-13T16:20:08.344553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:08.435435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
47.5%
2 18
29.5%
3 7
 
11.5%
na 6
 
9.8%
4 1
 
1.6%

혼합학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
0
56 
1
 
3
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 56
91.8%
1 3
 
4.9%
2 2
 
3.3%

Length

2024-03-13T16:20:08.528616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:08.606994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
91.8%
1 3
 
4.9%
2 2
 
3.3%

특수학급수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
53 
1
6 
2
 
2

Length

Max length4
Median length4
Mean length3.6065574
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
86.9%
1 6
 
9.8%
2 2
 
3.3%

Length

2024-03-13T16:20:08.697091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:08.780059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
86.9%
1 6
 
9.8%
2 2
 
3.3%

만3세유아수
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)56.9%
Missing10
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean23.588235
Minimum5
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:08.867494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q113
median16
Q330.5
95-th percentile49.5
Maximum106
Range101
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation18.032389
Coefficient of variation (CV)0.76446538
Kurtosis7.7106243
Mean23.588235
Median Absolute Deviation (MAD)9
Skewness2.25525
Sum1203
Variance325.16706
MonotonicityNot monotonic
2024-03-13T16:20:08.969798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
16 5
 
8.2%
15 4
 
6.6%
5 4
 
6.6%
14 4
 
6.6%
43 3
 
4.9%
13 3
 
4.9%
26 2
 
3.3%
30 2
 
3.3%
8 2
 
3.3%
7 2
 
3.3%
Other values (19) 20
32.8%
(Missing) 10
16.4%
ValueCountFrequency (%)
5 4
6.6%
7 2
 
3.3%
8 2
 
3.3%
11 2
 
3.3%
12 1
 
1.6%
13 3
4.9%
14 4
6.6%
15 4
6.6%
16 5
8.2%
17 1
 
1.6%
ValueCountFrequency (%)
106 1
 
1.6%
63 1
 
1.6%
51 1
 
1.6%
48 1
 
1.6%
44 1
 
1.6%
43 3
4.9%
40 1
 
1.6%
35 1
 
1.6%
34 1
 
1.6%
33 1
 
1.6%

만4세유아수
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)67.3%
Missing9
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean29.923077
Minimum5
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:09.098131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.55
Q115.75
median25
Q342
95-th percentile64.25
Maximum110
Range105
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation20.178465
Coefficient of variation (CV)0.67434458
Kurtosis3.6317377
Mean29.923077
Median Absolute Deviation (MAD)13
Skewness1.5153402
Sum1556
Variance407.17044
MonotonicityNot monotonic
2024-03-13T16:20:09.207563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
10 4
 
6.6%
50 3
 
4.9%
20 3
 
4.9%
19 3
 
4.9%
8 2
 
3.3%
23 2
 
3.3%
12 2
 
3.3%
42 2
 
3.3%
7 2
 
3.3%
27 2
 
3.3%
Other values (25) 27
44.3%
(Missing) 9
 
14.8%
ValueCountFrequency (%)
5 1
 
1.6%
7 2
3.3%
8 2
3.3%
10 4
6.6%
11 1
 
1.6%
12 2
3.3%
15 1
 
1.6%
16 1
 
1.6%
17 1
 
1.6%
19 3
4.9%
ValueCountFrequency (%)
110 1
 
1.6%
73 1
 
1.6%
67 1
 
1.6%
62 1
 
1.6%
52 1
 
1.6%
51 1
 
1.6%
50 3
4.9%
48 1
 
1.6%
45 1
 
1.6%
43 1
 
1.6%

만5세유아수
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)63.6%
Missing6
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean33.2
Minimum8
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:09.311515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.7
Q120.5
median27
Q343.5
95-th percentile62.9
Maximum115
Range107
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.947524
Coefficient of variation (CV)0.60082903
Kurtosis3.9321741
Mean33.2
Median Absolute Deviation (MAD)11
Skewness1.5820111
Sum1826
Variance397.9037
MonotonicityNot monotonic
2024-03-13T16:20:09.414682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
21 4
 
6.6%
19 3
 
4.9%
24 3
 
4.9%
23 3
 
4.9%
31 3
 
4.9%
55 2
 
3.3%
8 2
 
3.3%
62 2
 
3.3%
50 2
 
3.3%
25 2
 
3.3%
Other values (25) 29
47.5%
(Missing) 6
 
9.8%
ValueCountFrequency (%)
8 2
3.3%
10 1
 
1.6%
11 1
 
1.6%
12 2
3.3%
15 1
 
1.6%
16 2
3.3%
17 1
 
1.6%
19 3
4.9%
20 1
 
1.6%
21 4
6.6%
ValueCountFrequency (%)
115 1
1.6%
76 1
1.6%
65 1
1.6%
62 2
3.3%
57 1
1.6%
56 1
1.6%
55 2
3.3%
52 1
1.6%
50 2
3.3%
49 1
1.6%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90163934
Minimum0
Maximum21
Zeros56
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:09.501053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4530417
Coefficient of variation (CV)3.8297372
Kurtosis21.53858
Mean0.90163934
Median Absolute Deviation (MAD)0
Skewness4.4678192
Sum55
Variance11.923497
MonotonicityNot monotonic
2024-03-13T16:20:09.840496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 56
91.8%
21 1
 
1.6%
5 1
 
1.6%
9 1
 
1.6%
13 1
 
1.6%
7 1
 
1.6%
ValueCountFrequency (%)
0 56
91.8%
5 1
 
1.6%
7 1
 
1.6%
9 1
 
1.6%
13 1
 
1.6%
21 1
 
1.6%
ValueCountFrequency (%)
21 1
 
1.6%
13 1
 
1.6%
9 1
 
1.6%
7 1
 
1.6%
5 1
 
1.6%
0 56
91.8%

특수유아수
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
53 
4
 
5
9
 
1
6
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.6065574
Min length1

Unique

Unique3 ?
Unique (%)4.9%

Sample

1st row4
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 53
86.9%
4 5
 
8.2%
9 1
 
1.6%
6 1
 
1.6%
3 1
 
1.6%

Length

2024-03-13T16:20:09.980448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:20:10.073200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
86.9%
4 5
 
8.2%
9 1
 
1.6%
6 1
 
1.6%
3 1
 
1.6%

공시차수
Real number (ℝ)

Distinct8
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226.361
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T16:20:10.168271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20191
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.71378
Coefficient of variation (CV)0.0006780152
Kurtosis4.2220024
Mean20226.361
Median Absolute Deviation (MAD)0
Skewness-2.3704251
Sum1233808
Variance188.06776
MonotonicityNot monotonic
2024-03-13T16:20:10.291934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20232 49
80.3%
20222 3
 
4.9%
20191 2
 
3.3%
20192 2
 
3.3%
20182 2
 
3.3%
20212 1
 
1.6%
20231 1
 
1.6%
20201 1
 
1.6%
ValueCountFrequency (%)
20182 2
 
3.3%
20191 2
 
3.3%
20192 2
 
3.3%
20201 1
 
1.6%
20212 1
 
1.6%
20222 3
 
4.9%
20231 1
 
1.6%
20232 49
80.3%
ValueCountFrequency (%)
20232 49
80.3%
20231 1
 
1.6%
20222 3
 
4.9%
20212 1
 
1.6%
20201 1
 
1.6%
20192 2
 
3.3%
20191 2
 
3.3%
20182 2
 
3.3%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)천종만천종만1992012019920120서울특별시 강서구 마곡서1로 6802-2661-4560https://konghang.sen.es.kr/07시30분~19시30분112011119410420232
1서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)정애선 임진열김옥수1995010419950104서울특별시 강서구 금낭화로 287-1902-2666-1004<NA>07시00분~20시00분1110<NA>1812190<NA>20232
2서울특별시교육청강서양천교육지원청1ecec08c-eec7-b044-e053-0a32095ab044화곡유치원사립(법인)김영김영1999012019990120서울특별시 강서구 까치산로 6002-2697-3104<NA>08시00분~18시00분<NA><NA>10<NA><NA><NA>120<NA>20232
3서울특별시교육청강서양천교육지원청1ecec08c-ef9c-b044-e053-0a32095ab044선미유치원사립(법인)정순택소은영1973012919730313서울특별시 강서구 까치산로2길 4302-2606-3341https://cafe.naver.com/sunmikinder334108시00분~18시00분1220<NA>1642290<NA>20232
4서울특별시교육청강서양천교육지원청1ecec08c-f199-b044-e053-0a32095ab044서울공진초등학교병설유치원공립(병설)김장균김장균2004030120040301서울특별시 강서구 마곡서로 3302-2223-2391http://kongjin.sen.es.kr07시00분~19시00분1110<NA>1519240<NA>20232
5서울특별시교육청강서양천교육지원청1ecec08c-f1fa-b044-e053-0a32095ab044보라유치원사립(사인)위성순위성순1995072719950727서울특별시 강서구 공항대로39길 10002-2658-1154http://www.borakid.com07시30분~19시30분2210<NA>3427230<NA>20232
6서울특별시교육청강서양천교육지원청1ecec08c-f1fb-b044-e053-0a32095ab044서강유치원사립(사인)김재영최필승1982040519830404서울특별시 강서구 금낭화로 3502-2664-7428http://cafe.naver.com/seokangkids09시00분~18시30분1220<NA>2242380<NA>20191
7서울특별시교육청강서양천교육지원청1ecec08c-f33b-b044-e053-0a32095ab044신세기유치원사립(사인)이연정이연정2001110220011102서울특별시 강서구 허준로 4702-2659-1257<NA>08시00분~18시00분2120<NA>3323430<NA>20232
8서울특별시교육청강서양천교육지원청1ecec08c-f3d7-b044-e053-0a32095ab044서울정곡초등학교병설유치원공립(병설)한숙경한숙경1994090119940901서울특별시 강서구 방화대로50길 2202-2666-3130http://www.jk.es.kr07시00분~19시00분1110<NA>58170<NA>20232
9서울특별시교육청강서양천교육지원청1ecec08c-f3d8-b044-e053-0a32095ab044신영유치원사립(사인)이정란김화미1983080119830801서울특별시 강서구 곰달래로25길 402-2692-2729<NA>07시30분~19시30분2220<NA>3138400<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
51서울특별시교육청강서양천교육지원청53e84c27-6bdd-49a9-9c73-887fa8bd28a2서울금낭화유치원공립(단설)강상이강상이2019071120190901서울특별시 강서구 금낭화로 3502-6219-0901http://서울금낭화유치원.kr/home/07시30분~19시30분11201118370420232
52서울특별시교육청강서양천교육지원청5e4a5892-4caf-4a0b-93ab-44d81b9557a2서울신곡초등학교병설유치원공립(병설)김기순김기순2022030120220301서울특별시 강서구 등촌로13자길 42-1402-2645-2640https://sg.sen.es.kr/07시30분~19시30분2110171080420232
53서울특별시교육청강서양천교육지원청7721e609-bd73-448b-8b96-f988a1c4757d서울등촌초등학교병설유치원공립(병설)김종금김종금2018030920180309서울특별시 강서구 등촌로39길 7102-2647-9280https://deungchon.sen.es.kr07시30분~20시00분1110<NA>1410160<NA>20232
54서울특별시교육청강서양천교육지원청8114e0a3-e56e-47e5-a5d6-c2eef91cbed7서울탑산초등학교병설유치원공립(병설)황의정황의정2015030120150414서울특별시 강서구 허준로 10902-2659-5105http://www.top.es.kr07시00분~19시00분11101517190420232
55서울특별시교육청강서양천교육지원청8fe5f3aa-d57f-4d30-bf63-09e1b5ab5633서울신월초등학교병설유치원공립(병설)최은희최은희2022030120220311서울특별시 강서구 강서로31길 4802-2135-6380https://ssinwol.sen.es.kr/07시30분~19시30분1110<NA>512100<NA>20232
56서울특별시교육청강서양천교육지원청cd859395-2ba1-4f95-a3db-7c7a75b2d320서울송정초등학교병설유치원공립(병설)한광현한광현2018092720190301서울특별시 강서구 공항대로3길 1802-2662-7334http://sjes.sen.es.kr07시30분~19시30분112011416310320232
57서울특별시교육청강서양천교육지원청d0fe68a4-a1df-44ce-9072-87f9da3c301a서울개화초등학교병설유치원공립(병설)이옥선이옥선2018030120180301서울특별시 강서구 양천로 1102-2661-0493https://gaehwa.sen.es.kr/07시30분~19시30분<NA><NA><NA>2<NA><NA><NA><NA>7<NA>20232
58서울특별시교육청강서양천교육지원청da318554-85fa-494c-9ab9-60fd25bb0ce2이솔유치원사립(사인)김수진김수진2017022820170301서울특별시 강서구 곰달래로33가길 6.02-2606-3181https://e-sol.kidsnote.ac07시00분~19시00분1110<NA>1520250<NA>20232
59서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)박성기박성기2015030120150301서울특별시 강서구 허준로 18602-3662-8731https://kayang.sen.es.kr/07시30분~19시30분1110<NA>1210160<NA>20232
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