Overview

Dataset statistics

Number of variables24
Number of observations939
Missing cells1732
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory188.1 KiB
Average record size in memory205.1 B

Variable types

Categorical4
Text8
Numeric12

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
Author한국교육학술정보원
URLhttps://data.seoul.go.kr/dataList/OA-20566/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
특수학급수 is highly imbalanced (66.6%)Imbalance
홈페이지 has 279 (29.7%) missing valuesMissing
만3세학급수 has 146 (15.5%) missing valuesMissing
만4세학급수 has 114 (12.1%) missing valuesMissing
만5세학급수 has 64 (6.8%) missing valuesMissing
만3세유아수 has 146 (15.5%) missing valuesMissing
만4세유아수 has 114 (12.1%) missing valuesMissing
만5세유아수 has 64 (6.8%) missing valuesMissing
특수유아수 has 803 (85.5%) missing valuesMissing
유치원코드 has unique valuesUnique
혼합학급수 has 836 (89.0%) zerosZeros
혼합유아수 has 836 (89.0%) zerosZeros

Reproduction

Analysis started2024-03-13 17:19:34.082170
Analysis finished2024-03-13 17:19:34.724559
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
서울특별시교육청
939 

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 939
100.0%

Length

2024-03-14T02:19:34.769155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:19:34.834593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 939
100.0%

교육지원청명
Categorical

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
북부교육지원청
114 
강서양천교육지원청
109 
서부교육지원청
103 
강동송파교육지원청
98 
남부교육지원청
97 
Other values (6)
418 

Length

Max length9
Median length9
Mean length8.0734824
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 114
12.1%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
동작관악교육지원청 77
8.2%
성북강북교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

Length

2024-03-14T02:19:34.917916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북부교육지원청 114
12.1%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
동작관악교육지원청 77
8.2%
성북강북교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

유치원코드
Text

UNIQUE 

Distinct939
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-14T02:19:35.130813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters33804
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

Unique939 ?
Unique (%)100.0%

Sample

1st row006b5238-ce41-4471-9ee3-4df8d24b5141
2nd row009c017d-43bd-4d9f-ac64-d217abdd570e
3rd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
4th row0764f8c8-364c-495b-9fbc-b389148b7b4f
5th row076db651-036b-4bee-80ba-09f0edb4a57a
ValueCountFrequency (%)
006b5238-ce41-4471-9ee3-4df8d24b5141 1
 
0.1%
1ecec08d-0841-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078e-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-08de-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0791-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-079c-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-080a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-080b-b044-e053-0a32095ab044 1
 
0.1%
Other values (929) 929
98.9%
2024-03-14T02:19:35.403623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5593
16.5%
- 3756
11.1%
4 3729
11.0%
e 2930
8.7%
c 2461
7.3%
a 2042
 
6.0%
5 2003
 
5.9%
3 2001
 
5.9%
b 2000
 
5.9%
8 1256
 
3.7%
Other values (7) 6033
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18997
56.2%
Lowercase Letter 11051
32.7%
Dash Punctuation 3756
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5593
29.4%
4 3729
19.6%
5 2003
 
10.5%
3 2001
 
10.5%
8 1256
 
6.6%
1 1241
 
6.5%
9 1198
 
6.3%
2 1190
 
6.3%
7 394
 
2.1%
6 392
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 2930
26.5%
c 2461
22.3%
a 2042
18.5%
b 2000
18.1%
d 832
 
7.5%
f 786
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 3756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22753
67.3%
Latin 11051
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5593
24.6%
- 3756
16.5%
4 3729
16.4%
5 2003
 
8.8%
3 2001
 
8.8%
8 1256
 
5.5%
1 1241
 
5.5%
9 1198
 
5.3%
2 1190
 
5.2%
7 394
 
1.7%
Latin
ValueCountFrequency (%)
e 2930
26.5%
c 2461
22.3%
a 2042
18.5%
b 2000
18.1%
d 832
 
7.5%
f 786
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5593
16.5%
- 3756
11.1%
4 3729
11.0%
e 2930
8.7%
c 2461
7.3%
a 2042
 
6.0%
5 2003
 
5.9%
3 2001
 
5.9%
b 2000
 
5.9%
8 1256
 
3.7%
Other values (7) 6033
17.8%

유치원명
Text

Distinct843
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-14T02:19:35.632548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.686901
Min length4

Characters and Unicode

Total characters7218
Distinct characters313
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

Unique772 ?
Unique (%)82.2%

Sample

1st row서울정심초등학교병설유치원
2nd row서울솔방울유치원
3rd row란키즈유치원
4th row서울신현초등학교병설유치원
5th row서울신묵초등학교병설유치원
ValueCountFrequency (%)
사랑유치원 5
 
0.5%
예일유치원 5
 
0.5%
하나유치원 4
 
0.4%
새싹유치원 4
 
0.4%
예원유치원 4
 
0.4%
천사유치원 3
 
0.3%
벧엘유치원 3
 
0.3%
영은유치원 3
 
0.3%
서울유치원 3
 
0.3%
돌샘유치원 3
 
0.3%
Other values (837) 906
96.1%
2024-03-14T02:19:35.956073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (303) 2398
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7214
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (302) 2394
33.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7214
99.9%
Common 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (302) 2394
33.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7214
99.9%
ASCII 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (302) 2394
33.2%
ASCII
ValueCountFrequency (%)
4
100.0%

설립유형
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
사립(사인)
498 
공립(병설)
252 
사립(법인)
140 
공립(단설)
 
49

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 498
53.0%
공립(병설) 252
26.8%
사립(법인) 140
 
14.9%
공립(단설) 49
 
5.2%

Length

2024-03-14T02:19:36.058508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:19:36.134475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 498
53.0%
공립(병설 252
26.8%
사립(법인 140
 
14.9%
공립(단설 49
 
5.2%

대표자명
Text

Distinct865
Distinct (%)92.2%
Missing1
Missing (%)0.1%
Memory size7.5 KiB
2024-03-14T02:19:36.322166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length3.5191898
Min length2

Characters and Unicode

Total characters3301
Distinct characters230
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique809 ?
Unique (%)86.2%

Sample

1st row전미정
2nd row이수이
3rd row송미화
4th row김홍미
5th row김용석
ValueCountFrequency (%)
학교법인 8
 
0.8%
정순택 7
 
0.7%
김지은 4
 
0.4%
서울노회유지재단 4
 
0.4%
박민정 4
 
0.4%
김미숙 3
 
0.3%
김희영 3
 
0.3%
조영숙 3
 
0.3%
김은희 3
 
0.3%
김재영 3
 
0.3%
Other values (882) 940
95.7%
2024-03-14T02:19:36.671882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 185
 
5.6%
이 152
 
4.6%
정 121
 
3.7%
영 111
 
3.4%
숙 97
 
2.9%
희 74
 
2.2%
박 73
 
2.2%
경 73
 
2.2%
재 68
 
2.1%
미 64
 
1.9%
Other values (220) 2283
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3231
97.9%
Space Separator 49
 
1.5%
Close Punctuation 9
 
0.3%
Open Punctuation 8
 
0.2%
Other Punctuation 3
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 185
 
5.7%
이 152
 
4.7%
정 121
 
3.7%
영 111
 
3.4%
숙 97
 
3.0%
희 74
 
2.3%
박 73
 
2.3%
경 73
 
2.3%
재 68
 
2.1%
미 64
 
2.0%
Other values (215) 2213
68.5%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3231
97.9%
Common 70
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 185
 
5.7%
이 152
 
4.7%
정 121
 
3.7%
영 111
 
3.4%
숙 97
 
3.0%
희 74
 
2.3%
박 73
 
2.3%
경 73
 
2.3%
재 68
 
2.1%
미 64
 
2.0%
Other values (215) 2213
68.5%
Common
ValueCountFrequency (%)
49
70.0%
) 9
 
12.9%
( 8
 
11.4%
, 3
 
4.3%
1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3231
97.9%
ASCII 70
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 185
 
5.7%
이 152
 
4.7%
정 121
 
3.7%
영 111
 
3.4%
숙 97
 
3.0%
희 74
 
2.3%
박 73
 
2.3%
경 73
 
2.3%
재 68
 
2.1%
미 64
 
2.0%
Other values (215) 2213
68.5%
ASCII
ValueCountFrequency (%)
49
70.0%
) 9
 
12.9%
( 8
 
11.4%
, 3
 
4.3%
1
 
1.4%

원장명
Text

Distinct857
Distinct (%)91.4%
Missing1
Missing (%)0.1%
Memory size7.5 KiB
2024-03-14T02:19:36.933363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.989339
Min length2

Characters and Unicode

Total characters2804
Distinct characters191
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

Unique798 ?
Unique (%)85.1%

Sample

1st row전미정
2nd row이수이
3rd row송미화
4th row김홍미
5th row김용석
ValueCountFrequency (%)
김희정 6
 
0.6%
이인숙 5
 
0.5%
김은희 5
 
0.5%
이명희 4
 
0.4%
김명숙 3
 
0.3%
박민정 3
 
0.3%
김정원 3
 
0.3%
김미숙 3
 
0.3%
김은경 3
 
0.3%
김희영 3
 
0.3%
Other values (849) 902
96.0%
2024-03-14T02:19:37.315896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 195
 
7.0%
이 137
 
4.9%
정 136
 
4.9%
희 122
 
4.4%
숙 107
 
3.8%
미 107
 
3.8%
영 105
 
3.7%
경 93
 
3.3%
박 75
 
2.7%
은 74
 
2.6%
Other values (181) 1653
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2802
99.9%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 195
 
7.0%
이 137
 
4.9%
정 136
 
4.9%
희 122
 
4.4%
숙 107
 
3.8%
미 107
 
3.8%
영 105
 
3.7%
경 93
 
3.3%
박 75
 
2.7%
은 74
 
2.6%
Other values (180) 1651
58.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2802
99.9%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 195
 
7.0%
이 137
 
4.9%
정 136
 
4.9%
희 122
 
4.4%
숙 107
 
3.8%
미 107
 
3.8%
영 105
 
3.7%
경 93
 
3.3%
박 75
 
2.7%
은 74
 
2.6%
Other values (180) 1651
58.9%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2802
99.9%
ASCII 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 195
 
7.0%
이 137
 
4.9%
정 136
 
4.9%
희 122
 
4.4%
숙 107
 
3.8%
미 107
 
3.8%
영 105
 
3.7%
경 93
 
3.3%
박 75
 
2.7%
은 74
 
2.6%
Other values (180) 1651
58.9%
ASCII
ValueCountFrequency (%)
2
100.0%

설립일
Real number (ℝ)

Distinct732
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19967762
Minimum19140107
Maximum20230901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:37.433047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19140107
5-th percentile19711114
Q119870124
median19960827
Q320090814
95-th percentile20200301
Maximum20230901
Range1090794
Interquartile range (IQR)220690

Descriptive statistics

Standard deviation155498.12
Coefficient of variation (CV)0.0077874584
Kurtosis2.1825717
Mean19967762
Median Absolute Deviation (MAD)100620
Skewness-0.73733439
Sum1.8749729 × 1010
Variance2.4179665 × 1010
MonotonicityNot monotonic
2024-03-14T02:19:37.547265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220301 13
 
1.4%
20200301 13
 
1.4%
20180301 9
 
1.0%
20201231 9
 
1.0%
20130301 7
 
0.7%
20210301 7
 
0.7%
19830301 7
 
0.7%
20120301 7
 
0.7%
20060301 7
 
0.7%
20131226 6
 
0.6%
Other values (722) 854
90.9%
ValueCountFrequency (%)
19140107 1
0.1%
19160920 1
0.1%
19170401 1
0.1%
19241113 1
0.1%
19370126 1
0.1%
19490107 1
0.1%
19531127 1
0.1%
19540405 1
0.1%
19560309 1
0.1%
19560401 1
0.1%
ValueCountFrequency (%)
20230901 1
 
0.1%
20230301 2
 
0.2%
20230210 1
 
0.1%
20230112 2
 
0.2%
20220314 1
 
0.1%
20220307 1
 
0.1%
20220301 13
1.4%
20220119 1
 
0.1%
20220106 2
 
0.2%
20210901 2
 
0.2%

개원일
Real number (ℝ)

Distinct731
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19973612
Minimum19140107
Maximum20230901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:37.662698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19140107
5-th percentile19721197
Q119870302
median19970302
Q320100201
95-th percentile20200504
Maximum20230901
Range1090794
Interquartile range (IQR)229899.5

Descriptive statistics

Standard deviation155046.42
Coefficient of variation (CV)0.007762563
Kurtosis2.2800637
Mean19973612
Median Absolute Deviation (MAD)109999
Skewness-0.76882181
Sum1.8755222 × 1010
Variance2.4039393 × 1010
MonotonicityNot monotonic
2024-03-14T02:19:37.778431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180301 16
 
1.7%
20200301 13
 
1.4%
20210301 12
 
1.3%
20130301 12
 
1.3%
20220301 10
 
1.1%
19830301 7
 
0.7%
20150301 7
 
0.7%
20190301 6
 
0.6%
20030301 6
 
0.6%
20010301 5
 
0.5%
Other values (721) 845
90.0%
ValueCountFrequency (%)
19140107 1
0.1%
19160920 1
0.1%
19170401 1
0.1%
19241113 1
0.1%
19370412 1
0.1%
19490107 1
0.1%
19531127 1
0.1%
19540405 1
0.1%
19560303 1
0.1%
19560309 1
0.1%
ValueCountFrequency (%)
20230901 1
 
0.1%
20230306 1
 
0.1%
20230301 4
 
0.4%
20230210 1
 
0.1%
20220314 1
 
0.1%
20220311 2
 
0.2%
20220310 1
 
0.1%
20220307 3
 
0.3%
20220302 1
 
0.1%
20220301 10
1.1%

주소
Text

Distinct916
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-14T02:19:38.025156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.766773
Min length15

Characters and Unicode

Total characters17622
Distinct characters255
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

Unique894 ?
Unique (%)95.2%

Sample

1st row서울특별시 금천구 독산로78다길 89
2nd row서울특별시 송파구 오금로24길 25
3rd row서울특별시 송파구 새말로8길 22-5
4th row서울특별시 중랑구 봉화산로 188
5th row서울특별시 중랑구 동일로149길 46
ValueCountFrequency (%)
서울특별시 938
25.0%
노원구 78
 
2.1%
강서구 61
 
1.6%
송파구 60
 
1.6%
성북구 53
 
1.4%
은평구 50
 
1.3%
양천구 48
 
1.3%
강남구 43
 
1.1%
영등포구 42
 
1.1%
관악구 39
 
1.0%
Other values (1123) 2344
62.4%
2024-03-14T02:19:38.362665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2817
16.0%
서 1102
 
6.3%
구 991
 
5.6%
시 951
 
5.4%
로 943
 
5.4%
울 941
 
5.3%
별 938
 
5.3%
특 938
 
5.3%
1 678
 
3.8%
길 605
 
3.4%
Other values (245) 6718
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11429
64.9%
Decimal Number 3275
 
18.6%
Space Separator 2817
 
16.0%
Dash Punctuation 101
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 951
 
8.3%
로 943
 
8.3%
울 941
 
8.2%
별 938
 
8.2%
특 938
 
8.2%
길 605
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%
Decimal Number
ValueCountFrequency (%)
1 678
20.7%
2 482
14.7%
3 378
11.5%
4 331
10.1%
5 306
9.3%
6 280
8.5%
7 223
 
6.8%
0 210
 
6.4%
8 195
 
6.0%
9 192
 
5.9%
Space Separator
ValueCountFrequency (%)
2817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11429
64.9%
Common 6193
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 951
 
8.3%
로 943
 
8.3%
울 941
 
8.2%
별 938
 
8.2%
특 938
 
8.2%
길 605
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%
Common
ValueCountFrequency (%)
2817
45.5%
1 678
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 331
 
5.3%
5 306
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 210
 
3.4%
8 195
 
3.1%
Other values (2) 293
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11429
64.9%
ASCII 6193
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2817
45.5%
1 678
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 331
 
5.3%
5 306
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 210
 
3.4%
8 195
 
3.1%
Other values (2) 293
 
4.7%
Hangul
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 951
 
8.3%
로 943
 
8.3%
울 941
 
8.2%
별 938
 
8.2%
특 938
 
8.2%
길 605
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%

전화번호
Text

Distinct936
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-14T02:19:38.581937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.334398
Min length8

Characters and Unicode

Total characters10643
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique933 ?
Unique (%)99.4%

Sample

1st row02-851-7792
2nd row02-6481-6001
3rd row.02-404-4045
4th row02-6956-0147
5th row02-6951-5495
ValueCountFrequency (%)
02-2147-5200 2
 
0.2%
02-826-5787 2
 
0.2%
02-915-9300 2
 
0.2%
02-6081-5185 1
 
0.1%
02-400-4403 1
 
0.1%
02-893-8632 1
 
0.1%
02-438-3288 1
 
0.1%
02-997-5164~5 1
 
0.1%
02-851-7792 1
 
0.1%
02-454-0002 1
 
0.1%
Other values (926) 926
98.6%
2024-03-14T02:19:38.925843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1855
17.4%
2 1790
16.8%
0 1618
15.2%
3 789
7.4%
4 714
 
6.7%
6 701
 
6.6%
9 697
 
6.5%
1 646
 
6.1%
7 626
 
5.9%
5 613
 
5.8%
Other values (5) 594
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8777
82.5%
Dash Punctuation 1855
 
17.4%
Math Symbol 5
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Space Separator 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1790
20.4%
0 1618
18.4%
3 789
9.0%
4 714
 
8.1%
6 701
 
8.0%
9 697
 
7.9%
1 646
 
7.4%
7 626
 
7.1%
5 613
 
7.0%
8 583
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 1855
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1855
17.4%
2 1790
16.8%
0 1618
15.2%
3 789
7.4%
4 714
 
6.7%
6 701
 
6.6%
9 697
 
6.5%
1 646
 
6.1%
7 626
 
5.9%
5 613
 
5.8%
Other values (5) 594
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1855
17.4%
2 1790
16.8%
0 1618
15.2%
3 789
7.4%
4 714
 
6.7%
6 701
 
6.6%
9 697
 
6.5%
1 646
 
6.1%
7 626
 
5.9%
5 613
 
5.8%
Other values (5) 594
 
5.6%

홈페이지
Text

MISSING 

Distinct657
Distinct (%)99.5%
Missing279
Missing (%)29.7%
Memory size7.5 KiB
2024-03-14T02:19:39.120237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length46
Mean length26.216667
Min length14

Characters and Unicode

Total characters17303
Distinct characters149
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique654 ?
Unique (%)99.1%

Sample

1st rowhttp://www.jungshim.es.kr
2nd rowhttps://www.서울솔방울유치원.kr:497/home/
3rd rowhttp://shinhyun.sen.es.kr/
4th rowhttps://sinmook.sen.es.kr/
5th rowhttp://soeui.sen.es.kr
ValueCountFrequency (%)
http://www.sosl.kg.kr 2
 
0.3%
http://joeunsorikd.kg.kr 2
 
0.3%
http://www.kyung-bok.co.kr 2
 
0.3%
https://taereung.sen.es.kr/184357/submenu.do 1
 
0.2%
http://www.gunykid.com 1
 
0.2%
http://www.nangok.es.kr 1
 
0.2%
http://shkid77.kidis.co.kr 1
 
0.2%
http://www.swuchild.com 1
 
0.2%
http://yoyokid.kidsnote.ac 1
 
0.2%
http://www.honeybees.or.kr 1
 
0.2%
Other values (648) 648
98.0%
2024-03-14T02:19:39.439395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1667
 
9.6%
/ 1621
 
9.4%
t 1466
 
8.5%
w 1021
 
5.9%
s 957
 
5.5%
e 899
 
5.2%
h 870
 
5.0%
n 857
 
5.0%
k 822
 
4.8%
o 793
 
4.6%
Other values (139) 6330
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12586
72.7%
Other Punctuation 3958
 
22.9%
Other Letter 333
 
1.9%
Decimal Number 331
 
1.9%
Uppercase Letter 45
 
0.3%
Dash Punctuation 35
 
0.2%
Space Separator 6
 
< 0.1%
Math Symbol 6
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 48
14.4%
치 46
13.8%
유 46
13.8%
울 37
 
11.1%
서 35
 
10.5%
신 3
 
0.9%
설 3
 
0.9%
병 3
 
0.9%
림 3
 
0.9%
동 3
 
0.9%
Other values (77) 106
31.8%
Lowercase Letter
ValueCountFrequency (%)
t 1466
11.6%
w 1021
 
8.1%
s 957
 
7.6%
e 899
 
7.1%
h 870
 
6.9%
n 857
 
6.8%
k 822
 
6.5%
o 793
 
6.3%
p 721
 
5.7%
r 654
 
5.2%
Other values (16) 3526
28.0%
Uppercase Letter
ValueCountFrequency (%)
M 22
48.9%
N 5
 
11.1%
I 2
 
4.4%
O 2
 
4.4%
R 2
 
4.4%
A 1
 
2.2%
F 1
 
2.2%
Z 1
 
2.2%
W 1
 
2.2%
B 1
 
2.2%
Other values (7) 7
 
15.6%
Decimal Number
ValueCountFrequency (%)
1 54
16.3%
0 47
14.2%
3 34
10.3%
2 34
10.3%
4 31
9.4%
8 31
9.4%
9 27
8.2%
7 27
8.2%
6 25
7.6%
5 21
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 1667
42.1%
/ 1621
41.0%
: 665
 
16.8%
? 4
 
0.1%
, 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12631
73.0%
Common 4339
 
25.1%
Hangul 333
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 48
14.4%
치 46
13.8%
유 46
13.8%
울 37
 
11.1%
서 35
 
10.5%
신 3
 
0.9%
설 3
 
0.9%
병 3
 
0.9%
림 3
 
0.9%
동 3
 
0.9%
Other values (77) 106
31.8%
Latin
ValueCountFrequency (%)
t 1466
11.6%
w 1021
 
8.1%
s 957
 
7.6%
e 899
 
7.1%
h 870
 
6.9%
n 857
 
6.8%
k 822
 
6.5%
o 793
 
6.3%
p 721
 
5.7%
r 654
 
5.2%
Other values (33) 3571
28.3%
Common
ValueCountFrequency (%)
. 1667
38.4%
/ 1621
37.4%
: 665
 
15.3%
1 54
 
1.2%
0 47
 
1.1%
- 35
 
0.8%
3 34
 
0.8%
2 34
 
0.8%
4 31
 
0.7%
8 31
 
0.7%
Other values (9) 120
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16970
98.1%
Hangul 333
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1667
 
9.8%
/ 1621
 
9.6%
t 1466
 
8.6%
w 1021
 
6.0%
s 957
 
5.6%
e 899
 
5.3%
h 870
 
5.1%
n 857
 
5.1%
k 822
 
4.8%
o 793
 
4.7%
Other values (52) 5997
35.3%
Hangul
ValueCountFrequency (%)
원 48
14.4%
치 46
13.8%
유 46
13.8%
울 37
 
11.1%
서 35
 
10.5%
신 3
 
0.9%
설 3
 
0.9%
병 3
 
0.9%
림 3
 
0.9%
동 3
 
0.9%
Other values (77) 106
31.8%

운영시간
Text

Distinct80
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-14T02:19:39.625309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.99148
Min length5

Characters and Unicode

Total characters12199
Distinct characters13
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

Unique40 ?
Unique (%)4.3%

Sample

1st row07시30분~19시30분
2nd row07시00분~20시00분
3rd row08시00분~19시00분
4th row07시30분~19시30분
5th row07시30분~19시30분
ValueCountFrequency (%)
07시30분~19시30분 188
20.0%
07시00분~20시00분 107
11.4%
07시00분~19시00분 85
 
9.1%
09시00분~17시00분 71
 
7.6%
09시00분~18시00분 56
 
6.0%
09시00분~20시00분 41
 
4.4%
08시00분~19시00분 39
 
4.2%
09시00분~19시00분 37
 
3.9%
08시00분~18시00분 36
 
3.8%
08시00분~18시30분 29
 
3.1%
Other values (70) 250
26.6%
2024-03-14T02:19:39.897472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4230
34.7%
시 1878
15.4%
분 1878
15.4%
~ 939
 
7.7%
1 748
 
6.1%
9 711
 
5.8%
3 588
 
4.8%
7 569
 
4.7%
8 376
 
3.1%
2 242
 
2.0%
Other values (3) 40
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7504
61.5%
Other Letter 3756
30.8%
Math Symbol 939
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4230
56.4%
1 748
 
10.0%
9 711
 
9.5%
3 588
 
7.8%
7 569
 
7.6%
8 376
 
5.0%
2 242
 
3.2%
4 21
 
0.3%
5 12
 
0.2%
6 7
 
0.1%
Other Letter
ValueCountFrequency (%)
시 1878
50.0%
분 1878
50.0%
Math Symbol
ValueCountFrequency (%)
~ 939
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8443
69.2%
Hangul 3756
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4230
50.1%
~ 939
 
11.1%
1 748
 
8.9%
9 711
 
8.4%
3 588
 
7.0%
7 569
 
6.7%
8 376
 
4.5%
2 242
 
2.9%
4 21
 
0.2%
5 12
 
0.1%
Hangul
ValueCountFrequency (%)
시 1878
50.0%
분 1878
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8443
69.2%
Hangul 3756
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4230
50.1%
~ 939
 
11.1%
1 748
 
8.9%
9 711
 
8.4%
3 588
 
7.0%
7 569
 
6.7%
8 376
 
4.5%
2 242
 
2.9%
4 21
 
0.2%
5 12
 
0.1%
Hangul
ValueCountFrequency (%)
시 1878
50.0%
분 1878
50.0%

만3세학급수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.9%
Missing146
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean1.5687264
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:39.986632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.79336295
Coefficient of variation (CV)0.50573699
Kurtosis5.5242487
Mean1.5687264
Median Absolute Deviation (MAD)0
Skewness1.8570117
Sum1244
Variance0.62942476
MonotonicityNot monotonic
2024-03-14T02:19:40.058866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 452
48.1%
2 259
27.6%
3 64
 
6.8%
4 11
 
1.2%
5 5
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 146
 
15.5%
ValueCountFrequency (%)
1 452
48.1%
2 259
27.6%
3 64
 
6.8%
4 11
 
1.2%
5 5
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 5
 
0.5%
4 11
 
1.2%
3 64
 
6.8%
2 259
27.6%
1 452
48.1%

만4세학급수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.8%
Missing114
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean1.5987879
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:40.133368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.81565298
Coefficient of variation (CV)0.51016961
Kurtosis5.1396743
Mean1.5987879
Median Absolute Deviation (MAD)0
Skewness1.8116861
Sum1319
Variance0.66528979
MonotonicityNot monotonic
2024-03-14T02:19:40.204433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 456
48.6%
2 279
29.7%
3 65
 
6.9%
4 19
 
2.0%
5 3
 
0.3%
6 2
 
0.2%
7 1
 
0.1%
(Missing) 114
 
12.1%
ValueCountFrequency (%)
1 456
48.6%
2 279
29.7%
3 65
 
6.9%
4 19
 
2.0%
5 3
 
0.3%
6 2
 
0.2%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 2
 
0.2%
5 3
 
0.3%
4 19
 
2.0%
3 65
 
6.9%
2 279
29.7%
1 456
48.6%

만5세학급수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.7%
Missing64
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1.5954286
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:40.293056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75240401
Coefficient of variation (CV)0.47159994
Kurtosis4.4523519
Mean1.5954286
Median Absolute Deviation (MAD)0
Skewness1.5628079
Sum1396
Variance0.5661118
MonotonicityNot monotonic
2024-03-14T02:19:40.386348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 464
49.4%
2 323
34.4%
3 73
 
7.8%
4 10
 
1.1%
5 4
 
0.4%
7 1
 
0.1%
(Missing) 64
 
6.8%
ValueCountFrequency (%)
1 464
49.4%
2 323
34.4%
3 73
 
7.8%
4 10
 
1.1%
5 4
 
0.4%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 4
 
0.4%
4 10
 
1.1%
3 73
 
7.8%
2 323
34.4%
1 464
49.4%

혼합학급수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18210863
Minimum0
Maximum8
Zeros836
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:40.468668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6909863
Coefficient of variation (CV)3.7943634
Kurtosis54.593914
Mean0.18210863
Median Absolute Deviation (MAD)0
Skewness6.426865
Sum171
Variance0.47746207
MonotonicityNot monotonic
2024-03-14T02:19:40.550143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 836
89.0%
1 70
 
7.5%
2 20
 
2.1%
3 5
 
0.5%
5 3
 
0.3%
8 2
 
0.2%
4 2
 
0.2%
7 1
 
0.1%
ValueCountFrequency (%)
0 836
89.0%
1 70
 
7.5%
2 20
 
2.1%
3 5
 
0.5%
4 2
 
0.2%
5 3
 
0.3%
7 1
 
0.1%
8 2
 
0.2%
ValueCountFrequency (%)
8 2
 
0.2%
7 1
 
0.1%
5 3
 
0.3%
4 2
 
0.2%
3 5
 
0.5%
2 20
 
2.1%
1 70
 
7.5%
0 836
89.0%

특수학급수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
803 
1
124 
2
 
10
3
 
2

Length

Max length4
Median length4
Mean length3.5654952
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 803
85.5%
1 124
 
13.2%
2 10
 
1.1%
3 2
 
0.2%

Length

2024-03-14T02:19:40.650279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:19:40.743108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 803
85.5%
1 124
 
13.2%
2 10
 
1.1%
3 2
 
0.2%

만3세유아수
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)10.2%
Missing146
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean24.286255
Minimum0
Maximum140
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:40.831342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median18
Q335
95-th percentile60.4
Maximum140
Range140
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.014482
Coefficient of variation (CV)0.78293184
Kurtosis4.6931851
Mean24.286255
Median Absolute Deviation (MAD)10
Skewness1.7177607
Sum19259
Variance361.55053
MonotonicityNot monotonic
2024-03-14T02:19:40.931947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 35
 
3.7%
13 34
 
3.6%
14 32
 
3.4%
8 31
 
3.3%
9 29
 
3.1%
11 29
 
3.1%
10 27
 
2.9%
12 27
 
2.9%
16 24
 
2.6%
18 23
 
2.4%
Other values (71) 502
53.5%
(Missing) 146
 
15.5%
ValueCountFrequency (%)
0 5
 
0.5%
2 7
 
0.7%
3 7
 
0.7%
4 11
 
1.2%
5 35
3.7%
6 22
2.3%
7 22
2.3%
8 31
3.3%
9 29
3.1%
10 27
2.9%
ValueCountFrequency (%)
140 1
0.1%
129 1
0.1%
127 1
0.1%
106 1
0.1%
103 1
0.1%
101 1
0.1%
95 2
0.2%
91 1
0.1%
83 1
0.1%
81 2
0.2%

만4세유아수
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)11.6%
Missing114
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean29.193939
Minimum0
Maximum150
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:41.040650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median23
Q341
95-th percentile71
Maximum150
Range150
Interquartile range (IQR)26

Descriptive statistics

Standard deviation21.429637
Coefficient of variation (CV)0.73404402
Kurtosis5.0195448
Mean29.193939
Median Absolute Deviation (MAD)11
Skewness1.8044406
Sum24085
Variance459.22933
MonotonicityNot monotonic
2024-03-14T02:19:41.143554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 32
 
3.4%
25 28
 
3.0%
19 27
 
2.9%
17 26
 
2.8%
16 25
 
2.7%
22 25
 
2.7%
21 25
 
2.7%
15 25
 
2.7%
8 24
 
2.6%
11 23
 
2.4%
Other values (86) 565
60.2%
(Missing) 114
 
12.1%
ValueCountFrequency (%)
0 3
 
0.3%
1 2
 
0.2%
2 1
 
0.1%
3 3
 
0.3%
4 10
1.1%
5 11
1.2%
6 16
1.7%
7 13
1.4%
8 24
2.6%
9 13
1.4%
ValueCountFrequency (%)
150 1
0.1%
148 1
0.1%
144 1
0.1%
137 1
0.1%
130 1
0.1%
125 1
0.1%
110 1
0.1%
106 1
0.1%
97 1
0.1%
96 2
0.2%

만5세유아수
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)11.3%
Missing64
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean32.032
Minimum0
Maximum145
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:41.248292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q118
median25
Q344
95-th percentile68
Maximum145
Range145
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.361749
Coefficient of variation (CV)0.63566897
Kurtosis4.2342606
Mean32.032
Median Absolute Deviation (MAD)11
Skewness1.5876119
Sum28028
Variance414.60081
MonotonicityNot monotonic
2024-03-14T02:19:41.351459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 40
 
4.3%
19 39
 
4.2%
22 32
 
3.4%
21 30
 
3.2%
23 29
 
3.1%
24 27
 
2.9%
14 26
 
2.8%
18 24
 
2.6%
16 23
 
2.4%
13 22
 
2.3%
Other values (89) 583
62.1%
(Missing) 64
 
6.8%
ValueCountFrequency (%)
0 4
 
0.4%
1 1
 
0.1%
2 1
 
0.1%
3 3
 
0.3%
4 3
 
0.3%
5 4
 
0.4%
6 2
 
0.2%
7 6
 
0.6%
8 16
1.7%
9 9
1.0%
ValueCountFrequency (%)
145 1
0.1%
143 1
0.1%
139 1
0.1%
134 1
0.1%
125 1
0.1%
118 1
0.1%
115 1
0.1%
105 1
0.1%
100 1
0.1%
99 1
0.1%

혼합유아수
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4259851
Minimum0
Maximum279
Zeros836
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:41.450492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19.1
Maximum279
Range279
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.459992
Coefficient of variation (CV)4.8044553
Kurtosis121.39601
Mean3.4259851
Median Absolute Deviation (MAD)0
Skewness9.5127493
Sum3217
Variance270.93135
MonotonicityNot monotonic
2024-03-14T02:19:41.822273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 836
89.0%
19 8
 
0.9%
14 5
 
0.5%
20 5
 
0.5%
9 4
 
0.4%
7 4
 
0.4%
10 4
 
0.4%
18 4
 
0.4%
17 4
 
0.4%
8 4
 
0.4%
Other values (39) 61
 
6.5%
ValueCountFrequency (%)
0 836
89.0%
1 2
 
0.2%
3 1
 
0.1%
4 3
 
0.3%
5 2
 
0.2%
6 3
 
0.3%
7 4
 
0.4%
8 4
 
0.4%
9 4
 
0.4%
10 4
 
0.4%
ValueCountFrequency (%)
279 1
0.1%
199 1
0.1%
168 1
0.1%
114 1
0.1%
103 1
0.1%
89 1
0.1%
87 1
0.1%
83 1
0.1%
75 1
0.1%
74 1
0.1%

특수유아수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)7.4%
Missing803
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean4.4117647
Minimum2
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:41.911517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q35
95-th percentile8
Maximum11
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5891791
Coefficient of variation (CV)0.36021393
Kurtosis4.3431194
Mean4.4117647
Median Absolute Deviation (MAD)1
Skewness1.7258496
Sum600
Variance2.5254902
MonotonicityNot monotonic
2024-03-14T02:19:41.990063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 66
 
7.0%
5 29
 
3.1%
3 15
 
1.6%
2 10
 
1.1%
6 4
 
0.4%
7 4
 
0.4%
9 3
 
0.3%
8 2
 
0.2%
10 2
 
0.2%
11 1
 
0.1%
(Missing) 803
85.5%
ValueCountFrequency (%)
2 10
 
1.1%
3 15
 
1.6%
4 66
7.0%
5 29
3.1%
6 4
 
0.4%
7 4
 
0.4%
8 2
 
0.2%
9 3
 
0.3%
10 2
 
0.2%
11 1
 
0.1%
ValueCountFrequency (%)
11 1
 
0.1%
10 2
 
0.2%
9 3
 
0.3%
8 2
 
0.2%
7 4
 
0.4%
6 4
 
0.4%
5 29
3.1%
4 66
7.0%
3 15
 
1.6%
2 10
 
1.1%

공시차수
Real number (ℝ)

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224.855
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-14T02:19:42.069590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.460049
Coefficient of variation (CV)0.00076440839
Kurtosis2.04989
Mean20224.855
Median Absolute Deviation (MAD)0
Skewness-1.9195254
Sum18991139
Variance239.01312
MonotonicityNot monotonic
2024-03-14T02:19:42.153327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20232 750
79.9%
20182 57
 
6.1%
20192 51
 
5.4%
20202 30
 
3.2%
20212 23
 
2.4%
20222 19
 
2.0%
20191 5
 
0.5%
20211 1
 
0.1%
20221 1
 
0.1%
20231 1
 
0.1%
ValueCountFrequency (%)
20182 57
6.1%
20191 5
 
0.5%
20192 51
5.4%
20201 1
 
0.1%
20202 30
3.2%
20211 1
 
0.1%
20212 23
2.4%
20221 1
 
0.1%
20222 19
 
2.0%
20231 1
 
0.1%
ValueCountFrequency (%)
20232 750
79.9%
20231 1
 
0.1%
20222 19
 
2.0%
20221 1
 
0.1%
20212 23
 
2.4%
20211 1
 
0.1%
20202 30
 
3.2%
20201 1
 
0.1%
20192 51
 
5.4%
20191 5
 
0.5%

Sample

교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
0서울특별시교육청남부교육지원청006b5238-ce41-4471-9ee3-4df8d24b5141서울정심초등학교병설유치원공립(병설)전미정전미정2018111620190314서울특별시 금천구 독산로78다길 8902-851-7792http://www.jungshim.es.kr07시30분~19시30분11101315160420232
1서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)이수이이수이2021030120210301서울특별시 송파구 오금로24길 2502-6481-6001https://www.서울솔방울유치원.kr:497/home/07시00분~20시00분222012831430620232
2서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)송미화송미화2017030720170307서울특별시 송파구 새말로8길 22-5.02-404-4045<NA>08시00분~19시00분1210<NA>2331210<NA>20232
3서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)김홍미김홍미2020123120210301서울특별시 중랑구 봉화산로 18802-6956-0147http://shinhyun.sen.es.kr/07시30분~19시30분111011214200420232
4서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)김용석김용석2022030120220301서울특별시 중랑구 동일로149길 4602-6951-5495https://sinmook.sen.es.kr/07시30분~19시30분1110<NA>131190<NA>20232
5서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)김애리김애리2017033020170401서울특별시 은평구 증산로21길 22.02-375-2237<NA>08시00분~20시00분1110<NA>1328160<NA>20222
6서울특별시교육청서부교육지원청08d485cb-06c8-4964-bf03-ed1b178ef3fd서울소의초등학교병설유치원공립(병설)홍명석홍명석2021030120210308서울특별시 마포구 마포대로24길 4202-362-6512http://soeui.sen.es.kr07시00분~19시30분1110<NA>611170<NA>20232
7서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)양인화양인화2017030120170302서울특별시 노원구 상계로9길 3902-933-6888https://sanggye.sen.es.kr07시00분~19시30분<NA>110<NA><NA>690<NA>20232
8서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)오경미오경미2022030120220301서울특별시 송파구 위례송파로 12102-6952-6430http://www.서울송파위례유치원.kr07시00분~20시00분223013236470420232
9서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)심수용심수용2022030120220302서울특별시 도봉구 노해로70길 96029038020https://wol.sen.es.kr07시30분~19시30분1110<NA>81780<NA>20232
교육청명교육지원청명유치원코드유치원명설립유형대표자명원장명설립일개원일주소전화번호홈페이지운영시간만3세학급수만4세학급수만5세학급수혼합학급수특수학급수만3세유아수만4세유아수만5세유아수혼합유아수특수유아수공시차수
929서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)김진경김진경2018030120180301서울특별시 관악구 문성로28길 3102-6952-3126http://sillim.sen.es.kr07시30분~19시30분1110<NA>610140<NA>20232
930서울특별시교육청서부교육지원청eb8cde61-5718-4f14-ab59-7df432e254ee서울한서초등학교병설유치원공립(병설)최우원최우원2014123020150301서울특별시 마포구 대흥로24바길 2702-717-0954http://www.hanseo.es.kr07시00분~19시00분1110<NA>317200<NA>20232
931서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)권오숙권오숙2019043020190701서울특별시 동대문구 답십리로48길 5602-2217-0430https://cafe.naver.com/raon070108시00분~17시00분1110<NA>1615200<NA>20232
932서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)정용훈정용훈2022030120220301서울특별시 노원구 노원로1길 3602-2039-1612https://taereung.sen.es.kr/184357/subMenu.do07시00분~20시00분<NA>110<NA><NA>7200<NA>20232
933서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)이충원이충원2021020520210301서울특별시 성동구 무학봉15길 2102-2290-3206<NA>07시30분~19시30분1110<NA>1016130<NA>20232
934서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)이화이화2017060120170601서울특별시 강동구 고덕로97길 8002-2147-5200http://www.gangsol.kg.kr09시00분~19시30분2220230404701020192
935서울특별시교육청강남서초교육지원청fccf9482-0b1c-4f4b-a7e7-cffe7f40b07b서울학동초등학교병설유치원공립(병설)이숙자이숙자2020122120210310서울특별시 강남구 선릉로115길 4202-6081-5185<NA>07시00분~20시00분1110<NA>512120<NA>20232
936서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)박성기박성기2015030120150301서울특별시 강서구 허준로 18602-3662-8731https://kayang.sen.es.kr/07시30분~19시30분1110<NA>1210160<NA>20232
937서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)이강미이강미2020010920200301서울특별시 송파구 백제고분로 40002-3431-8858http://songpa.sen.es.kr07시30분~19시30분1110<NA>89150<NA>20232
938서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)강연옥강연옥2018030120180301서울특별시 강서구 강서로56나길 3402-36652394http://www.dungmyong.es.kr07시30분~19시30분1110<NA>57110<NA>20232