Overview

Dataset statistics

Number of variables24
Number of observations38
Missing cells28
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory208.5 B

Variable types

Categorical10
Text8
Numeric6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,대표자명,원장명,설립일,개원일,주소,전화번호,홈페이지,운영시간,만3세학급수,만4세학급수,만5세학급수,혼합학급수,특수학급수,만3세유아수,만4세유아수,만5세유아수,혼합유아수,특수유아수,공시차수
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20603/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
혼합학급수 is highly imbalanced (70.3%)Imbalance
혼합유아수 is highly imbalanced (77.9%)Imbalance
특수유아수 is highly imbalanced (57.4%)Imbalance
공시차수 is highly imbalanced (54.8%)Imbalance
홈페이지 has 17 (44.7%) missing valuesMissing
만4세학급수 has 2 (5.3%) missing valuesMissing
만3세유아수 has 5 (13.2%) missing valuesMissing
만4세유아수 has 2 (5.3%) missing valuesMissing
만5세유아수 has 2 (5.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
원장명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 16:47:12.961206
Analysis finished2024-03-13 16:47:13.304591
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-14T01:47:13.380825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:13.473016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
강동송파교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

Length

2024-03-14T01:47:13.556793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:13.631526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:13.787681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed95-b044-e053-0a32095ab044
2nd row1ecec08c-ef39-b044-e053-0a32095ab044
3rd row1ecec08c-f123-b044-e053-0a32095ab044
4th row1ecec08c-f12c-b044-e053-0a32095ab044
5th row1ecec08c-f289-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed95-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0b24-b044-e053-0a32095ab044 1
 
2.6%
dc3c0174-def5-4b61-a69d-19ff119cdf2e 1
 
2.6%
1ecec08d-01d7-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-028f-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-029f-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0409-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04f4-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08dd-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0c15-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T01:47:14.059345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
56.4%
Lowercase Letter 444
32.5%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
28.0%
4 150
19.4%
3 88
11.4%
5 80
 
10.4%
1 56
 
7.3%
9 53
 
6.9%
8 52
 
6.7%
2 51
 
6.6%
7 17
 
2.2%
6 9
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
67.5%
Latin 444
32.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 216
23.4%
- 152
16.5%
4 150
16.2%
3 88
9.5%
5 80
 
8.7%
1 56
 
6.1%
9 53
 
5.7%
8 52
 
5.6%
2 51
 
5.5%
7 17
 
1.8%
Latin
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:14.235980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.7631579
Min length5

Characters and Unicode

Total characters295
Distinct characters60
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

Unique38 ?
Unique (%)100.0%

Sample

1st row송원유치원
2nd row한영중고등학교병설한영유치원
3rd row준현유치원
4th row고덕유치원
5th row예슬유치원
ValueCountFrequency (%)
송원유치원 1
 
2.6%
구강사금강유치원 1
 
2.6%
서울고일초등학교병설유치원 1
 
2.6%
은새유치원 1
 
2.6%
유정유치원 1
 
2.6%
돌샘유치원 1
 
2.6%
한성유치원 1
 
2.6%
가람유치원 1
 
2.6%
서울선린초등학교병설유치원 1
 
2.6%
그리새유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T01:47:14.528884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 40
13.6%
원 40
13.6%
치 38
 
12.9%
울 13
 
4.4%
서 12
 
4.1%
설 11
 
3.7%
교 11
 
3.7%
학 11
 
3.7%
병 11
 
3.7%
등 11
 
3.7%
Other values (50) 97
32.9%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
10 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 10
26.3%
사립(법인) 5
 
13.2%
공립(단설) 2
 
5.3%

Length

2024-03-14T01:47:14.633749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:14.730447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 10
26.3%
사립(법인 5
 
13.2%
공립(단설 2
 
5.3%

대표자명
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:14.963339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.6315789
Min length2

Characters and Unicode

Total characters138
Distinct characters74
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)89.5%

Sample

1st row심용섭
2nd row조윤정
3rd row유익형
4th row백은희
5th row김미례
ValueCountFrequency (%)
최석명 2
 
5.1%
김지은 2
 
5.1%
강수환 1
 
2.6%
전선영 1
 
2.6%
김영춘 1
 
2.6%
심용섭 1
 
2.6%
이복임 1
 
2.6%
홍병지 1
 
2.6%
전종숙,한지혜,한관수,한지영 1
 
2.6%
박민정 1
 
2.6%
Other values (27) 27
69.2%
2024-03-14T01:47:15.234880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
5.8%
영 7
 
5.1%
지 6
 
4.3%
미 5
 
3.6%
최 4
 
2.9%
숙 4
 
2.9%
은 4
 
2.9%
이 4
 
2.9%
유 4
 
2.9%
, 3
 
2.2%
Other values (64) 89
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
95.7%
Other Punctuation 3
 
2.2%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
6.1%
영 7
 
5.3%
지 6
 
4.5%
미 5
 
3.8%
최 4
 
3.0%
숙 4
 
3.0%
은 4
 
3.0%
이 4
 
3.0%
유 4
 
3.0%
한 3
 
2.3%
Other values (60) 83
62.9%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
95.7%
Common 6
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
6.1%
영 7
 
5.3%
지 6
 
4.5%
미 5
 
3.8%
최 4
 
3.0%
숙 4
 
3.0%
은 4
 
3.0%
이 4
 
3.0%
유 4
 
3.0%
한 3
 
2.3%
Other values (60) 83
62.9%
Common
ValueCountFrequency (%)
, 3
50.0%
( 1
 
16.7%
) 1
 
16.7%
1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
95.7%
ASCII 6
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
6.1%
영 7
 
5.3%
지 6
 
4.5%
미 5
 
3.8%
최 4
 
3.0%
숙 4
 
3.0%
은 4
 
3.0%
이 4
 
3.0%
유 4
 
3.0%
한 3
 
2.3%
Other values (60) 83
62.9%
ASCII
ValueCountFrequency (%)
, 3
50.0%
( 1
 
16.7%
) 1
 
16.7%
1
 
16.7%

원장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:15.413097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9473684
Min length2

Characters and Unicode

Total characters112
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row김정원
2nd row김행기
3rd row권민수
4th row김진숙
5th row김미례
ValueCountFrequency (%)
김정원 1
 
2.6%
박송란 1
 
2.6%
오동숙 1
 
2.6%
최석명 1
 
2.6%
최진경 1
 
2.6%
권복희 1
 
2.6%
한지혜 1
 
2.6%
김경자 1
 
2.6%
전선영 1
 
2.6%
박희경 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T01:47:15.674260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
10.7%
영 6
 
5.4%
숙 5
 
4.5%
박 5
 
4.5%
미 5
 
4.5%
이 4
 
3.6%
희 4
 
3.6%
경 4
 
3.6%
정 3
 
2.7%
최 3
 
2.7%
Other values (47) 61
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
10.7%
영 6
 
5.4%
숙 5
 
4.5%
박 5
 
4.5%
미 5
 
4.5%
이 4
 
3.6%
희 4
 
3.6%
경 4
 
3.6%
정 3
 
2.7%
최 3
 
2.7%
Other values (47) 61
54.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
10.7%
영 6
 
5.4%
숙 5
 
4.5%
박 5
 
4.5%
미 5
 
4.5%
이 4
 
3.6%
희 4
 
3.6%
경 4
 
3.6%
정 3
 
2.7%
최 3
 
2.7%
Other values (47) 61
54.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
10.7%
영 6
 
5.4%
숙 5
 
4.5%
박 5
 
4.5%
미 5
 
4.5%
이 4
 
3.6%
희 4
 
3.6%
경 4
 
3.6%
정 3
 
2.7%
최 3
 
2.7%
Other values (47) 61
54.5%

설립일
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19995669
Minimum19720928
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:47:15.780550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720928
5-th percentile19819475
Q119880204
median19990956
Q320121180
95-th percentile20200301
Maximum20210301
Range489373
Interquartile range (IQR)240976.5

Descriptive statistics

Standard deviation140622.92
Coefficient of variation (CV)0.0070326691
Kurtosis-1.3409886
Mean19995669
Median Absolute Deviation (MAD)129640
Skewness0.050050146
Sum7.5983541 × 108
Variance1.9774806 × 1010
MonotonicityNot monotonic
2024-03-14T01:47:15.885216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20121204 2
 
5.3%
20200301 2
 
5.3%
19900829 1
 
2.6%
19821213 1
 
2.6%
20090217 1
 
2.6%
19821126 1
 
2.6%
19861127 1
 
2.6%
19920122 1
 
2.6%
20071120 1
 
2.6%
20120301 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
19720928 1
2.6%
19810117 1
2.6%
19821126 1
2.6%
19821213 1
2.6%
19830309 1
2.6%
19860301 1
2.6%
19860601 1
2.6%
19861127 1
2.6%
19870311 1
2.6%
19880203 1
2.6%
ValueCountFrequency (%)
20210301 1
2.6%
20200301 2
5.3%
20200211 1
2.6%
20190901 1
2.6%
20170601 1
2.6%
20140301 1
2.6%
20131129 1
2.6%
20121204 2
5.3%
20121109 1
2.6%
20120407 1
2.6%

개원일
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20006032
Minimum19720928
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:47:15.986381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720928
5-th percentile19819504
Q119880326
median20000752
Q320130301
95-th percentile20200301
Maximum20210301
Range489373
Interquartile range (IQR)249975

Descriptive statistics

Standard deviation138316.18
Coefficient of variation (CV)0.0069137241
Kurtosis-1.2622612
Mean20006032
Median Absolute Deviation (MAD)125046.5
Skewness-0.091926855
Sum7.602292 × 108
Variance1.9131366 × 1010
MonotonicityNot monotonic
2024-03-14T01:47:16.086727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20130301 2
 
5.3%
20200301 2
 
5.3%
19960515 1
 
2.6%
19821213 1
 
2.6%
20090303 1
 
2.6%
19821126 1
 
2.6%
19870310 1
 
2.6%
19920122 1
 
2.6%
20080303 1
 
2.6%
20120301 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
19720928 1
2.6%
19810311 1
2.6%
19821126 1
2.6%
19821213 1
2.6%
19860307 1
2.6%
19860601 1
2.6%
19870310 1
2.6%
19870311 1
2.6%
19880208 1
2.6%
19880301 1
2.6%
ValueCountFrequency (%)
20210301 1
2.6%
20200302 1
2.6%
20200301 2
5.3%
20190923 1
2.6%
20170601 1
2.6%
20140306 1
2.6%
20140303 1
2.6%
20130304 1
2.6%
20130301 2
5.3%
20120409 1
2.6%

주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:16.268776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.394737
Min length16

Characters and Unicode

Total characters737
Distinct characters49
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

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 강동구 성안로 64
2nd row서울특별시 강동구 동남로 832
3rd row서울특별시 강동구 성내로3가길 61
4th row서울특별시 강동구 구천면로 645
5th row서울특별시 강동구 상암로 11
ValueCountFrequency (%)
서울특별시 38
25.0%
강동구 38
25.0%
구천면로 4
 
2.6%
고덕로97길 2
 
1.3%
80 2
 
1.3%
고덕로 2
 
1.3%
64 2
 
1.3%
천호대로187길 2
 
1.3%
상암로63길 2
 
1.3%
53 2
 
1.3%
Other values (58) 58
38.2%
2024-03-14T01:47:16.565745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.5%
구 44
 
6.0%
동 42
 
5.7%
강 39
 
5.3%
서 38
 
5.2%
특 38
 
5.2%
별 38
 
5.2%
시 38
 
5.2%
울 38
 
5.2%
로 37
 
5.0%
Other values (39) 271
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
62.4%
Decimal Number 155
 
21.0%
Space Separator 114
 
15.5%
Dash Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%
Decimal Number
ValueCountFrequency (%)
1 30
19.4%
3 25
16.1%
6 20
12.9%
8 15
9.7%
9 13
8.4%
2 12
 
7.7%
5 11
 
7.1%
0 11
 
7.1%
4 10
 
6.5%
7 8
 
5.2%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
62.4%
Common 277
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%
Common
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
5 11
 
4.0%
0 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
62.4%
ASCII 277
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
5 11
 
4.0%
0 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%
Hangul
ValueCountFrequency (%)
구 44
9.6%
동 42
9.1%
강 39
8.5%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
울 38
8.3%
로 37
8.0%
길 26
 
5.7%
Other values (27) 82
17.8%

전화번호
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:16.741855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.263158
Min length8

Characters and Unicode

Total characters428
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

Unique36 ?
Unique (%)94.7%

Sample

1st row02-476-8938
2nd row02-6954-2304
3rd row02-477-0287
4th row02-440-5302
5th row02-3013-7878
ValueCountFrequency (%)
02-2147-5200 2
 
5.3%
02-476-8938 1
 
2.6%
02-471-7792 1
 
2.6%
02-428-2256 1
 
2.6%
02-471-3151 1
 
2.6%
02-3426-5472 1
 
2.6%
02-483-4560 1
 
2.6%
02-427-3151 1
 
2.6%
02-477-3192 1
 
2.6%
02-470-6319 1
 
2.6%
Other values (27) 27
71.1%
2024-03-14T01:47:17.006459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
17.8%
2 67
15.7%
0 61
14.3%
4 50
11.7%
7 37
8.6%
1 28
 
6.5%
3 28
 
6.5%
8 24
 
5.6%
6 20
 
4.7%
5 18
 
4.2%
Other values (2) 19
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 351
82.0%
Dash Punctuation 76
 
17.8%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 67
19.1%
0 61
17.4%
4 50
14.2%
7 37
10.5%
1 28
8.0%
3 28
8.0%
8 24
 
6.8%
6 20
 
5.7%
5 18
 
5.1%
9 18
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
17.8%
2 67
15.7%
0 61
14.3%
4 50
11.7%
7 37
8.6%
1 28
 
6.5%
3 28
 
6.5%
8 24
 
5.6%
6 20
 
4.7%
5 18
 
4.2%
Other values (2) 19
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
17.8%
2 67
15.7%
0 61
14.3%
4 50
11.7%
7 37
8.6%
1 28
 
6.5%
3 28
 
6.5%
8 24
 
5.6%
6 20
 
4.7%
5 18
 
4.2%
Other values (2) 19
 
4.4%

홈페이지
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing17
Missing (%)44.7%
Memory size436.0 B
2024-03-14T01:47:17.227404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length30
Mean length27.047619
Min length18

Characters and Unicode

Total characters568
Distinct characters41
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowhttps://www.hanyoung.kg.kr
2nd rowhttp://www.yaeseul.com
3rd rowhttps://gomyung.sen.es.kr/
4th rowhttp://www.서울명일유치원.com/
5th rowhttp://cafe.naver.com/stbona
ValueCountFrequency (%)
https://www.hanyoung.kg.kr 1
 
4.8%
http://www.hansungk.co.kr 1
 
4.8%
http://goil.es.kr 1
 
4.8%
https://www.gbk.kg.kr:510/home 1
 
4.8%
https://suna2020.kidsnote.ac 1
 
4.8%
http://gangsol.kg.kr 1
 
4.8%
http://gohyeon.sen.es.kr/index.do 1
 
4.8%
https://cheonhokindergarten.modoo.at 1
 
4.8%
http://chunho.sen.es.kr/index.do 1
 
4.8%
http://www.s-sunrin.com 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T01:47:17.499654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 54
 
9.5%
. 53
 
9.3%
t 47
 
8.3%
o 36
 
6.3%
w 31
 
5.5%
h 30
 
5.3%
n 30
 
5.3%
s 29
 
5.1%
k 25
 
4.4%
e 25
 
4.4%
Other values (31) 208
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 408
71.8%
Other Punctuation 129
 
22.7%
Decimal Number 23
 
4.0%
Other Letter 7
 
1.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 47
11.5%
o 36
 
8.8%
w 31
 
7.6%
h 30
 
7.4%
n 30
 
7.4%
s 29
 
7.1%
k 25
 
6.1%
e 25
 
6.1%
g 22
 
5.4%
p 21
 
5.1%
Other values (13) 112
27.5%
Decimal Number
ValueCountFrequency (%)
2 6
26.1%
0 6
26.1%
5 3
13.0%
1 3
13.0%
7 2
 
8.7%
9 2
 
8.7%
4 1
 
4.3%
Other Letter
ValueCountFrequency (%)
원 1
14.3%
치 1
14.3%
유 1
14.3%
일 1
14.3%
명 1
14.3%
울 1
14.3%
서 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 54
41.9%
. 53
41.1%
: 22
17.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 408
71.8%
Common 153
 
26.9%
Hangul 7
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 47
11.5%
o 36
 
8.8%
w 31
 
7.6%
h 30
 
7.4%
n 30
 
7.4%
s 29
 
7.1%
k 25
 
6.1%
e 25
 
6.1%
g 22
 
5.4%
p 21
 
5.1%
Other values (13) 112
27.5%
Common
ValueCountFrequency (%)
/ 54
35.3%
. 53
34.6%
: 22
14.4%
2 6
 
3.9%
0 6
 
3.9%
5 3
 
2.0%
1 3
 
2.0%
7 2
 
1.3%
9 2
 
1.3%
4 1
 
0.7%
Hangul
ValueCountFrequency (%)
원 1
14.3%
치 1
14.3%
유 1
14.3%
일 1
14.3%
명 1
14.3%
울 1
14.3%
서 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 561
98.8%
Hangul 7
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 54
 
9.6%
. 53
 
9.4%
t 47
 
8.4%
o 36
 
6.4%
w 31
 
5.5%
h 30
 
5.3%
n 30
 
5.3%
s 29
 
5.2%
k 25
 
4.5%
e 25
 
4.5%
Other values (24) 201
35.8%
Hangul
ValueCountFrequency (%)
원 1
14.3%
치 1
14.3%
유 1
14.3%
일 1
14.3%
명 1
14.3%
울 1
14.3%
서 1
14.3%

운영시간
Text

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T01:47:17.664179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters494
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)21.1%

Sample

1st row09시00분~18시00분
2nd row09시00분~17시00분
3rd row08시00분~19시00분
4th row09시00분~18시00분
5th row08시00분~18시00분
ValueCountFrequency (%)
09시00분~18시00분 5
13.2%
07시30분~19시30분 4
 
10.5%
08시30분~18시00분 3
 
7.9%
09시00분~17시00분 3
 
7.9%
09시30분~18시00분 3
 
7.9%
08시00분~18시00분 2
 
5.3%
07시00분~20시00분 2
 
5.3%
08시00분~19시00분 2
 
5.3%
09시00분~19시00분 2
 
5.3%
09시00분~20시00분 2
 
5.3%
Other values (9) 10
26.3%
2024-03-14T01:47:17.903104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 167
33.8%
시 76
15.4%
분 76
15.4%
~ 38
 
7.7%
1 34
 
6.9%
9 28
 
5.7%
8 28
 
5.7%
3 23
 
4.7%
7 16
 
3.2%
2 6
 
1.2%
Other values (2) 2
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
61.5%
Other Letter 152
30.8%
Math Symbol 38
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 167
54.9%
1 34
 
11.2%
9 28
 
9.2%
8 28
 
9.2%
3 23
 
7.6%
7 16
 
5.3%
2 6
 
2.0%
4 1
 
0.3%
5 1
 
0.3%
Other Letter
ValueCountFrequency (%)
시 76
50.0%
분 76
50.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 342
69.2%
Hangul 152
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 167
48.8%
~ 38
 
11.1%
1 34
 
9.9%
9 28
 
8.2%
8 28
 
8.2%
3 23
 
6.7%
7 16
 
4.7%
2 6
 
1.8%
4 1
 
0.3%
5 1
 
0.3%
Hangul
ValueCountFrequency (%)
시 76
50.0%
분 76
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 342
69.2%
Hangul 152
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 167
48.8%
~ 38
 
11.1%
1 34
 
9.9%
9 28
 
8.2%
8 28
 
8.2%
3 23
 
6.7%
7 16
 
4.7%
2 6
 
1.8%
4 1
 
0.3%
5 1
 
0.3%
Hangul
ValueCountFrequency (%)
시 76
50.0%
분 76
50.0%

만3세학급수
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2
13 
1
12 
<NA>
5 
3
4 
4
3 

Length

Max length4
Median length1
Mean length1.3947368
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
2 13
34.2%
1 12
31.6%
<NA> 5
 
13.2%
3 4
 
10.5%
4 3
 
7.9%
6 1
 
2.6%

Length

2024-03-14T01:47:18.016815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:18.105943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 13
34.2%
1 12
31.6%
na 5
 
13.2%
3 4
 
10.5%
4 3
 
7.9%
6 1
 
2.6%

만4세학급수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)16.7%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean1.9722222
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:47:18.192327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.25
95-th percentile4.25
Maximum6
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.2532497
Coefficient of variation (CV)0.63545057
Kurtosis2.2493625
Mean1.9722222
Median Absolute Deviation (MAD)1
Skewness1.5304622
Sum71
Variance1.5706349
MonotonicityNot monotonic
2024-03-14T01:47:18.271520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 17
44.7%
2 10
26.3%
3 5
 
13.2%
4 2
 
5.3%
6 1
 
2.6%
5 1
 
2.6%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
1 17
44.7%
2 10
26.3%
3 5
 
13.2%
4 2
 
5.3%
5 1
 
2.6%
6 1
 
2.6%
ValueCountFrequency (%)
6 1
 
2.6%
5 1
 
2.6%
4 2
 
5.3%
3 5
 
13.2%
2 10
26.3%
1 17
44.7%

만5세학급수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2
13 
1
12 
3
9 
<NA>
2 
5
2 

Length

Max length4
Median length1
Mean length1.1578947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 13
34.2%
1 12
31.6%
3 9
23.7%
<NA> 2
 
5.3%
5 2
 
5.3%

Length

2024-03-14T01:47:18.365955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:18.451289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 13
34.2%
1 12
31.6%
3 9
23.7%
na 2
 
5.3%
5 2
 
5.3%

혼합학급수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
36 
1
 
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 36
94.7%
1 2
 
5.3%

Length

2024-03-14T01:47:18.539358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:18.611524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
94.7%
1 2
 
5.3%

특수학급수
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
31 
1
4 
2
 
3

Length

Max length4
Median length4
Mean length3.4473684
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> 31
81.6%
1 4
 
10.5%
2 3
 
7.9%

Length

2024-03-14T01:47:18.691948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:18.779212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
81.6%
1 4
 
10.5%
2 3
 
7.9%

만3세유아수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)72.7%
Missing5
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean35.181818
Minimum2
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:47:18.854497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q115
median30
Q343
95-th percentile84.8
Maximum127
Range125
Interquartile range (IQR)28

Descriptive statistics

Standard deviation27.364958
Coefficient of variation (CV)0.77781533
Kurtosis3.3364214
Mean35.181818
Median Absolute Deviation (MAD)15
Skewness1.6519187
Sum1161
Variance748.84091
MonotonicityNot monotonic
2024-03-14T01:47:19.162026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15 3
 
7.9%
30 3
 
7.9%
32 2
 
5.3%
22 2
 
5.3%
40 2
 
5.3%
5 2
 
5.3%
19 2
 
5.3%
36 1
 
2.6%
35 1
 
2.6%
12 1
 
2.6%
Other values (14) 14
36.8%
(Missing) 5
 
13.2%
ValueCountFrequency (%)
2 1
 
2.6%
5 2
5.3%
9 1
 
2.6%
12 1
 
2.6%
13 1
 
2.6%
15 3
7.9%
19 2
5.3%
22 2
5.3%
26 1
 
2.6%
29 1
 
2.6%
ValueCountFrequency (%)
127 1
2.6%
101 1
2.6%
74 1
2.6%
69 1
2.6%
62 1
2.6%
54 1
2.6%
53 1
2.6%
45 1
2.6%
43 1
2.6%
40 2
5.3%

만4세유아수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)75.0%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum4
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:47:19.289434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14.75
Q123
median29
Q348.5
95-th percentile103.5
Maximum148
Range144
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation32.02276
Coefficient of variation (CV)0.79068543
Kurtosis5.1649014
Mean40.5
Median Absolute Deviation (MAD)11.5
Skewness2.1719985
Sum1458
Variance1025.4571
MonotonicityNot monotonic
2024-03-14T01:47:19.403054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
23 5
 
13.2%
40 3
 
7.9%
16 2
 
5.3%
25 2
 
5.3%
15 2
 
5.3%
14 1
 
2.6%
52 1
 
2.6%
41 1
 
2.6%
19 1
 
2.6%
70 1
 
2.6%
Other values (17) 17
44.7%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
4 1
 
2.6%
14 1
 
2.6%
15 2
 
5.3%
16 2
 
5.3%
19 1
 
2.6%
20 1
 
2.6%
23 5
13.2%
24 1
 
2.6%
25 2
 
5.3%
26 1
 
2.6%
ValueCountFrequency (%)
148 1
2.6%
144 1
2.6%
90 1
2.6%
75 1
2.6%
70 1
2.6%
61 1
2.6%
52 1
2.6%
51 1
2.6%
50 1
2.6%
48 1
2.6%

만5세유아수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)75.0%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean46.972222
Minimum12
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T01:47:19.502316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile17.5
Q124
median41.5
Q357
95-th percentile104
Maximum145
Range133
Interquartile range (IQR)33

Descriptive statistics

Standard deviation29.939449
Coefficient of variation (CV)0.63738627
Kurtosis3.6287378
Mean46.972222
Median Absolute Deviation (MAD)17.5
Skewness1.7370958
Sum1691
Variance896.37063
MonotonicityNot monotonic
2024-03-14T01:47:19.617499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
24 3
 
7.9%
46 2
 
5.3%
60 2
 
5.3%
40 2
 
5.3%
21 2
 
5.3%
57 2
 
5.3%
41 2
 
5.3%
19 2
 
5.3%
30 1
 
2.6%
94 1
 
2.6%
Other values (17) 17
44.7%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
12 1
 
2.6%
16 1
 
2.6%
18 1
 
2.6%
19 2
5.3%
21 2
5.3%
23 1
 
2.6%
24 3
7.9%
27 1
 
2.6%
30 1
 
2.6%
38 1
 
2.6%
ValueCountFrequency (%)
145 1
2.6%
134 1
2.6%
94 1
2.6%
82 1
2.6%
75 1
2.6%
63 1
2.6%
60 2
5.3%
57 2
5.3%
56 1
2.6%
52 1
2.6%

혼합유아수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
0
36 
12
 
1
34
 
1

Length

Max length2
Median length1
Mean length1.0526316
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 36
94.7%
12 1
 
2.6%
34 1
 
2.6%

Length

2024-03-14T01:47:19.749315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:19.829507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
94.7%
12 1
 
2.6%
34 1
 
2.6%

특수유아수
Categorical

IMBALANCE 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
31 
7
 
2
4
 
2
5
 
1
9
 
1

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique3 ?
Unique (%)7.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
81.6%
7 2
 
5.3%
4 2
 
5.3%
5 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%

Length

2024-03-14T01:47:19.913496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:20.000636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
81.6%
7 2
 
5.3%
4 2
 
5.3%
5 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20232
31 
20182
 
2
20202
 
2
20212
 
2
20192
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row20182
2nd row20232
3rd row20232
4th row20232
5th row20232

Common Values

ValueCountFrequency (%)
20232 31
81.6%
20182 2
 
5.3%
20202 2
 
5.3%
20212 2
 
5.3%
20192 1
 
2.6%

Length

2024-03-14T01:47:20.099788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:47:20.185030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 31
81.6%
20182 2
 
5.3%
20202 2
 
5.3%
20212 2
 
5.3%
20192 1
 
2.6%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청강동송파교육지원청1ecec08c-ed95-b044-e053-0a32095ab044송원유치원사립(사인)심용섭김정원1981011719810311서울특별시 강동구 성안로 6402-476-8938<NA>09시00분~18시00분2120<NA>4024460<NA>20182
1서울특별시교육청강동송파교육지원청1ecec08c-ef39-b044-e053-0a32095ab044한영중고등학교병설한영유치원사립(법인)조윤정김행기1988020619880301서울특별시 강동구 동남로 83202-6954-2304https://www.hanyoung.kg.kr09시00분~17시00분3230<NA>5451570<NA>20232
2서울특별시교육청강동송파교육지원청1ecec08c-f123-b044-e053-0a32095ab044준현유치원사립(사인)유익형권민수1999120419991204서울특별시 강동구 성내로3가길 6102-477-0287<NA>08시00분~19시00분2220<NA>4048520<NA>20232
3서울특별시교육청강동송파교육지원청1ecec08c-f12c-b044-e053-0a32095ab044고덕유치원사립(법인)백은희김진숙2007050720070507서울특별시 강동구 구천면로 64502-440-5302<NA>09시00분~18시00분1120<NA>1923560<NA>20232
4서울특별시교육청강동송파교육지원청1ecec08c-f289-b044-e053-0a32095ab044예슬유치원사립(사인)김미례김미례2000090120010404서울특별시 강동구 상암로 1102-3013-7878http://www.yaeseul.com08시00분~18시00분2330<NA>4350630<NA>20232
5서울특별시교육청강동송파교육지원청1ecec08c-f337-b044-e053-0a32095ab044서울고명초등학교병설유치원공립(병설)장은녕장은녕1994101019950309서울특별시 강동구 고덕로46길 5302-3426-4133https://gomyung.sen.es.kr/07시30분~19시30분1110<NA>516190<NA>20232
6서울특별시교육청강동송파교육지원청1ecec08c-f338-b044-e053-0a32095ab044서울명일유치원공립(단설)유미숙유미숙1999070719990707서울특별시 강동구 암사19길 5302-428-9077http://www.서울명일유치원.com/07시00분~19시30분123011528460720232
7서울특별시교육청강동송파교육지원청1ecec08c-f33c-b044-e053-0a32095ab044성보나유치원사립(법인)정순택강남희1987031119870311서울특별시 강동구 고덕로83길 6802-427-1123http://cafe.naver.com/stbona08시30분~18시00분1110<NA>2223190<NA>20232
8서울특별시교육청강동송파교육지원청1ecec08c-f426-b044-e053-0a32095ab044오송유치원사립(사인)오연호오연호1988020319880208서울특별시 강동구 구천면로39길 2602-484-8535~7<NA>08시30분~18시00분2230<NA>2630570<NA>20232
9서울특별시교육청강동송파교육지원청1ecec08c-f4c7-b044-e053-0a32095ab044반석유치원사립(사인)강수명강수명2012120420130301서울특별시 강동구 양재대로124길 89-1802-485-7831http://www.goodbansuk.com07시50분~18시30분2110<NA>2925270<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
28서울특별시교육청강동송파교육지원청1ecec08d-0b38-b044-e053-0a32095ab044서울천호초등학교병설유치원공립(병설)최미경최미경2012030120120301서울특별시 강동구 구천면로 310-1102-470-6319http://chunho.sen.es.kr/index.do07시30분~19시30분11101515180420232
29서울특별시교육청강동송파교육지원청1ecec08d-0c15-b044-e053-0a32095ab044그리새유치원사립(사인)최석명박희경1990082919960515서울특별시 강동구 천호대로187길 53-1802-474-6800-1<NA>08시00분~18시30분<NA>120<NA><NA>26420<NA>20212
30서울특별시교육청강동송파교육지원청1ecec08d-0d55-b044-e053-0a32095ab044천호유치원사립(법인)(재) 천주교서울대교구유지재단이광순1972092819720928서울특별시 강동구 구천면로 236-102-470-1633https://cheonhokindergarten.modoo.at08시30분~17시40분4420<NA>6270600<NA>20232
31서울특별시교육청강동송파교육지원청1ecec08d-0eee-b044-e053-0a32095ab044고덕한울유치원사립(사인)이종영박문선2012040720120409서울특별시 강동구 양재대로 170602-3427-3939<NA>08시00분~17시30분<NA>120<NA><NA>23400<NA>20202
32서울특별시교육청강동송파교육지원청384943bc-313e-465b-b2ef-76a20afa6dda서울고현초등학교병설유치원공립(병설)황혜숙황혜숙2020030120200301서울특별시 강동구 상일로11길 11002-427-9680http://gohyeon.sen.es.kr/index.do07시20분~19시20분1110<NA>1219230<NA>20232
33서울특별시교육청강동송파교육지원청4f559f09-9ed1-4997-8dac-73a60b15573b서울강솔유치원공립(단설)김광미김광미2020030120200301서울특별시 강동구 고덕로97길 8002-2147-5200http://gangsol.kg.kr07시30분~19시30분332023041410720232
34서울특별시교육청강동송파교육지원청8cd5853a-2caf-4ed7-89dd-c505aac27823선아유치원사립(사인)임호순김해영2020021120200302서울특별시 강동구 구천면로 65002-427-0294https://suna2020.kidsnote.ac/08시30분~18시00분1110<NA>2223240<NA>20232
35서울특별시교육청강동송파교육지원청c331985b-b881-4725-9fc3-6e80741044d9서울강빛초등학교병설유치원공립(병설)강수환강수환2021030120210301서울특별시 강동구 아리수로93다길 102-6951-3962https://www.gbk.kg.kr:510/home/07시00분~20시00분443023552480920232
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