Overview

Dataset statistics

Number of variables11
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory94.9 B

Variable types

Categorical3
Text4
Numeric3
DateTime1

Dataset

Description이 데이터는 서울특별시 동작구 관내 소재의 유치원현황입니다. 이 데이터에는 소재지,학급수,전화번호 등이 포함되어 있습니다.
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15063914/fileData.do

Alerts

교육청 has constant value ""Constant
소재구 has constant value ""Constant
기준일자 has constant value ""Constant
학급수 is highly overall correlated with 학생수 계 and 1 other fieldsHigh correlation
학생수 계 is highly overall correlated with 학급수 and 1 other fieldsHigh correlation
학생수 여 is highly overall correlated with 학급수 and 1 other fieldsHigh correlation
유치원명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:19:16.273534
Analysis finished2023-12-12 06:19:17.669524
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
동작관악
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악 34
100.0%

Length

2023-12-12T15:19:17.727133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:19:17.809018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악 34
100.0%

소재구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
동작구
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작구 34
100.0%

Length

2023-12-12T15:19:17.901752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:19:17.989406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작구 34
100.0%

유치원명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:19:18.166198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length6.7058824
Min length5

Characters and Unicode

Total characters228
Distinct characters70
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

Unique34 ?
Unique (%)100.0%

Sample

1st row서울강남초등학교병설유치원
2nd row서울남성초등학교병설유치원
3rd row서울문창초등학교병설유치원
4th row서울상도유치원
5th row서울신남성초등학교병설유치원
ValueCountFrequency (%)
서울강남초등학교병설유치원 1
 
2.9%
서울남성초등학교병설유치원 1
 
2.9%
한가람유치원 1
 
2.9%
하랑숲유치원 1
 
2.9%
태성유치원 1
 
2.9%
총신대부속유치원 1
 
2.9%
중앙대부속유치원 1
 
2.9%
장아유치원 1
 
2.9%
은혜유치원 1
 
2.9%
동아유치원 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T15:19:18.533824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 34
 
14.9%
원 34
 
14.9%
치 34
 
14.9%
교 6
 
2.6%
울 6
 
2.6%
서 6
 
2.6%
학 5
 
2.2%
등 5
 
2.2%
병 5
 
2.2%
설 5
 
2.2%
Other values (60) 88
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 34
 
14.9%
원 34
 
14.9%
치 34
 
14.9%
교 6
 
2.6%
울 6
 
2.6%
서 6
 
2.6%
학 5
 
2.2%
등 5
 
2.2%
병 5
 
2.2%
설 5
 
2.2%
Other values (60) 88
38.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 34
 
14.9%
원 34
 
14.9%
치 34
 
14.9%
교 6
 
2.6%
울 6
 
2.6%
서 6
 
2.6%
학 5
 
2.2%
등 5
 
2.2%
병 5
 
2.2%
설 5
 
2.2%
Other values (60) 88
38.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 34
 
14.9%
원 34
 
14.9%
치 34
 
14.9%
교 6
 
2.6%
울 6
 
2.6%
서 6
 
2.6%
학 5
 
2.2%
등 5
 
2.2%
병 5
 
2.2%
설 5
 
2.2%
Other values (60) 88
38.6%

설립
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
사립
28 
공립
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 28
82.4%
공립 6
 
17.6%

Length

2023-12-12T15:19:18.674702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:19:18.774795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 28
82.4%
공립 6
 
17.6%

우편번호
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:19:18.959934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters238
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)70.6%

Sample

1st row156-881
2nd row156-820
3rd row156-853
4th row156-840
5th row156-879
ValueCountFrequency (%)
156-811 2
 
5.9%
156-836 2
 
5.9%
156-030 2
 
5.9%
156-853 2
 
5.9%
156-879 2
 
5.9%
156-881 1
 
2.9%
156-841 1
 
2.9%
156-080 1
 
2.9%
156-849 1
 
2.9%
156-763 1
 
2.9%
Other values (19) 19
55.9%
2023-12-12T15:19:19.443740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 44
18.5%
6 43
18.1%
5 39
16.4%
- 34
14.3%
8 28
11.8%
3 13
 
5.5%
0 12
 
5.0%
7 10
 
4.2%
4 6
 
2.5%
9 5
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
85.7%
Dash Punctuation 34
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 44
21.6%
6 43
21.1%
5 39
19.1%
8 28
13.7%
3 13
 
6.4%
0 12
 
5.9%
7 10
 
4.9%
4 6
 
2.9%
9 5
 
2.5%
2 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 44
18.5%
6 43
18.1%
5 39
16.4%
- 34
14.3%
8 28
11.8%
3 13
 
5.5%
0 12
 
5.0%
7 10
 
4.2%
4 6
 
2.5%
9 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 44
18.5%
6 43
18.1%
5 39
16.4%
- 34
14.3%
8 28
11.8%
3 13
 
5.5%
0 12
 
5.0%
7 10
 
4.2%
4 6
 
2.5%
9 5
 
2.1%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:19:19.733963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40.5
Mean length33.411765
Min length21

Characters and Unicode

Total characters1136
Distinct characters113
Distinct categories7 ?
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 (%)100.0%

Sample

1st row서울특별시 동작구 강남초등길 15 , 서울강남초등학교병설유치원 (상도1동,강남초등학교)
2nd row서울특별시 동작구 사당로23길 57-14 (사당동,남성초등학교)
3rd row서울특별시 동작구 신대방2길 14 (신대방동,서울문창초등학교)
4th row서울특별시 동작구 성대로21길 62 , 서울상도유치원 (상도동,상도초등학교)
5th row서울특별시 동작구 사당로 146 (사당동,서울신남성초등학교)
ValueCountFrequency (%)
서울특별시 34
 
18.3%
동작구 34
 
18.3%
4
 
2.2%
15 3
 
1.6%
대방동 2
 
1.1%
성대로21길 2
 
1.1%
사당로 2
 
1.1%
여의대방로 2
 
1.1%
현충로 2
 
1.1%
단지내 2
 
1.1%
Other values (97) 99
53.2%
2023-12-12T15:19:20.280398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
13.5%
동 71
 
6.2%
서 39
 
3.4%
울 38
 
3.3%
작 36
 
3.2%
별 35
 
3.1%
시 35
 
3.1%
특 34
 
3.0%
구 34
 
3.0%
로 34
 
3.0%
Other values (103) 627
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 766
67.4%
Space Separator 153
 
13.5%
Decimal Number 119
 
10.5%
Close Punctuation 31
 
2.7%
Other Punctuation 31
 
2.7%
Open Punctuation 31
 
2.7%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
 
9.3%
서 39
 
5.1%
울 38
 
5.0%
작 36
 
4.7%
별 35
 
4.6%
시 35
 
4.6%
특 34
 
4.4%
구 34
 
4.4%
로 34
 
4.4%
대 30
 
3.9%
Other values (88) 380
49.6%
Decimal Number
ValueCountFrequency (%)
1 30
25.2%
4 19
16.0%
2 15
12.6%
5 12
 
10.1%
6 12
 
10.1%
3 11
 
9.2%
9 7
 
5.9%
8 5
 
4.2%
0 4
 
3.4%
7 4
 
3.4%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 766
67.4%
Common 370
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
 
9.3%
서 39
 
5.1%
울 38
 
5.0%
작 36
 
4.7%
별 35
 
4.6%
시 35
 
4.6%
특 34
 
4.4%
구 34
 
4.4%
로 34
 
4.4%
대 30
 
3.9%
Other values (88) 380
49.6%
Common
ValueCountFrequency (%)
153
41.4%
) 31
 
8.4%
, 31
 
8.4%
( 31
 
8.4%
1 30
 
8.1%
4 19
 
5.1%
2 15
 
4.1%
5 12
 
3.2%
6 12
 
3.2%
3 11
 
3.0%
Other values (5) 25
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 766
67.4%
ASCII 370
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
41.4%
) 31
 
8.4%
, 31
 
8.4%
( 31
 
8.4%
1 30
 
8.1%
4 19
 
5.1%
2 15
 
4.1%
5 12
 
3.2%
6 12
 
3.2%
3 11
 
3.0%
Other values (5) 25
 
6.8%
Hangul
ValueCountFrequency (%)
동 71
 
9.3%
서 39
 
5.1%
울 38
 
5.0%
작 36
 
4.7%
별 35
 
4.6%
시 35
 
4.6%
특 34
 
4.4%
구 34
 
4.4%
로 34
 
4.4%
대 30
 
3.9%
Other values (88) 380
49.6%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T15:19:20.545130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.147059
Min length11

Characters and Unicode

Total characters379
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row02-824-0503
2nd row02-595-3991
3rd row02-836-9535
4th row02-827-0037
5th row02-587-6131
ValueCountFrequency (%)
02-824-0503 1
 
2.9%
02-595-3991 1
 
2.9%
02-812-0646 1
 
2.9%
02-2038-6606 1
 
2.9%
02-842-6122 1
 
2.9%
02-3479-0550 1
 
2.9%
02-815-0146 1
 
2.9%
02-817-4442 1
 
2.9%
02-822-3450 1
 
2.9%
02-6332-7718 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T15:19:21.284214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
17.9%
2 67
17.7%
0 53
14.0%
8 48
12.7%
1 28
7.4%
3 25
 
6.6%
7 21
 
5.5%
5 20
 
5.3%
6 19
 
5.0%
4 18
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 311
82.1%
Dash Punctuation 68
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 67
21.5%
0 53
17.0%
8 48
15.4%
1 28
9.0%
3 25
 
8.0%
7 21
 
6.8%
5 20
 
6.4%
6 19
 
6.1%
4 18
 
5.8%
9 12
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
17.9%
2 67
17.7%
0 53
14.0%
8 48
12.7%
1 28
7.4%
3 25
 
6.6%
7 21
 
5.5%
5 20
 
5.3%
6 19
 
5.0%
4 18
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
17.9%
2 67
17.7%
0 53
14.0%
8 48
12.7%
1 28
7.4%
3 25
 
6.6%
7 21
 
5.5%
5 20
 
5.3%
6 19
 
5.0%
4 18
 
4.7%

학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2352941
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T15:19:21.436330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q13
median5
Q36
95-th percentile10
Maximum13
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5591052
Coefficient of variation (CV)0.48881785
Kurtosis1.3105685
Mean5.2352941
Median Absolute Deviation (MAD)2
Skewness1.1392205
Sum178
Variance6.5490196
MonotonicityNot monotonic
2023-12-12T15:19:21.587576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 10
29.4%
6 6
17.6%
5 5
14.7%
4 3
 
8.8%
7 3
 
8.8%
10 2
 
5.9%
2 2
 
5.9%
13 1
 
2.9%
8 1
 
2.9%
9 1
 
2.9%
ValueCountFrequency (%)
2 2
 
5.9%
3 10
29.4%
4 3
 
8.8%
5 5
14.7%
6 6
17.6%
7 3
 
8.8%
8 1
 
2.9%
9 1
 
2.9%
10 2
 
5.9%
13 1
 
2.9%
ValueCountFrequency (%)
13 1
 
2.9%
10 2
 
5.9%
9 1
 
2.9%
8 1
 
2.9%
7 3
 
8.8%
6 6
17.6%
5 5
14.7%
4 3
 
8.8%
3 10
29.4%
2 2
 
5.9%

학생수 계
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.61765
Minimum16
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T15:19:21.729417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile33.65
Q166.5
median94
Q3143
95-th percentile239.25
Maximum290
Range274
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation64.311748
Coefficient of variation (CV)0.59209299
Kurtosis1.1822703
Mean108.61765
Median Absolute Deviation (MAD)34.5
Skewness1.17494
Sum3693
Variance4136.0009
MonotonicityNot monotonic
2023-12-12T15:19:21.880949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
70 2
 
5.9%
113 2
 
5.9%
74 2
 
5.9%
143 2
 
5.9%
58 1
 
2.9%
16 1
 
2.9%
227 1
 
2.9%
50 1
 
2.9%
157 1
 
2.9%
108 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
16 1
2.9%
33 1
2.9%
34 1
2.9%
50 1
2.9%
56 1
2.9%
57 1
2.9%
58 1
2.9%
61 1
2.9%
66 1
2.9%
68 1
2.9%
ValueCountFrequency (%)
290 1
2.9%
262 1
2.9%
227 1
2.9%
188 1
2.9%
175 1
2.9%
167 1
2.9%
157 1
2.9%
150 1
2.9%
143 2
5.9%
127 1
2.9%

학생수 여
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.647059
Minimum5
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T15:19:22.020552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile20.3
Q133
median43.5
Q368.5
95-th percentile118.25
Maximum134
Range129
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation30.859292
Coefficient of variation (CV)0.57522803
Kurtosis0.7335022
Mean53.647059
Median Absolute Deviation (MAD)17
Skewness1.0352817
Sum1824
Variance952.2959
MonotonicityNot monotonic
2023-12-12T15:19:22.144739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
38 3
 
8.8%
33 2
 
5.9%
62 2
 
5.9%
55 2
 
5.9%
34 2
 
5.9%
26 1
 
2.9%
89 1
 
2.9%
19 1
 
2.9%
86 1
 
2.9%
25 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
5 1
2.9%
19 1
2.9%
21 1
2.9%
25 1
2.9%
26 1
2.9%
28 1
2.9%
29 1
2.9%
32 1
2.9%
33 2
5.9%
34 2
5.9%
ValueCountFrequency (%)
134 1
2.9%
128 1
2.9%
113 1
2.9%
89 1
2.9%
86 1
2.9%
85 1
2.9%
78 1
2.9%
75 1
2.9%
69 1
2.9%
67 1
2.9%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2020-08-28 00:00:00
Maximum2020-08-28 00:00:00
2023-12-12T15:19:22.250752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:22.352106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:19:17.189994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:16.685219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:16.952863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:17.266300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:16.764255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:17.026083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:17.347920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:16.860478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:19:17.101430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:19:22.442563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원명설립우편번호주소전화번호학급수학생수 계학생수 여
유치원명1.0001.0001.0001.0001.0001.0001.0001.000
설립1.0001.0000.0001.0001.0000.0000.0000.000
우편번호1.0000.0001.0001.0001.0000.0000.9240.920
주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
학급수1.0000.0000.0001.0001.0001.0000.8940.897
학생수 계1.0000.0000.9241.0001.0000.8941.0000.882
학생수 여1.0000.0000.9201.0001.0000.8970.8821.000
2023-12-12T15:19:22.572103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학급수학생수 계학생수 여설립
학급수1.0000.8630.8520.000
학생수 계0.8631.0000.9710.000
학생수 여0.8520.9711.0000.000
설립0.0000.0000.0001.000

Missing values

2023-12-12T15:19:17.468551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:19:17.617417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

교육청소재구유치원명설립우편번호주소전화번호학급수학생수 계학생수 여기준일자
0동작관악동작구서울강남초등학교병설유치원공립156-881서울특별시 동작구 강남초등길 15 , 서울강남초등학교병설유치원 (상도1동,강남초등학교)02-824-0503358332020-08-28
1동작관악동작구서울남성초등학교병설유치원공립156-820서울특별시 동작구 사당로23길 57-14 (사당동,남성초등학교)02-595-3991370342020-08-28
2동작관악동작구서울문창초등학교병설유치원공립156-853서울특별시 동작구 신대방2길 14 (신대방동,서울문창초등학교)02-836-9535368292020-08-28
3동작관악동작구서울상도유치원공립156-840서울특별시 동작구 성대로21길 62 , 서울상도유치원 (상도동,상도초등학교)02-827-0037684382020-08-28
4동작관악동작구서울신남성초등학교병설유치원공립156-879서울특별시 동작구 사당로 146 (사당동,서울신남성초등학교)02-587-6131370352020-08-28
5동작관악동작구서울은로초등학교병설유치원공립156-862서울특별시 동작구 서달로 115 (흑석동,은로초등학교)02-826-57875100622020-08-28
6동작관악동작구강남유치원사립156-830서울특별시 동작구 상도로41가길 13 (상도1동,대한예수교장로회상도교회)02-813-7122374332020-08-28
7동작관악동작구노량진교회유치원사립156-060서울특별시 동작구 노량진로30길 9 (본동,노량진교회)02-817-3875369322020-08-28
8동작관악동작구동그라미유치원사립156-825서울특별시 동작구 사당로28길 34 (사당동,동그라미유치원)02-587-7223102621342020-08-28
9동작관악동작구동아유치원사립156-813서울특별시 동작구 만양로3길 48 동아유치원02-6332-7718132901282020-08-28
교육청소재구유치원명설립우편번호주소전화번호학급수학생수 계학생수 여기준일자
24동작관악동작구예림유치원사립156-792서울특별시 동작구 현충로 151 (흑석동,한강현대아파트)02-817-1455350282020-08-28
25동작관악동작구요요유치원사립156-787서울특별시 동작구 여의대방로 28 (신대방동,현대아파트)02-836-67107157692020-08-28
26동작관악동작구은혜유치원사립156-844서울특별시 동작구 성대로6가길 29 (상도동,애광유치원)02-822-345051652020-08-28
27동작관악동작구장아유치원사립156-751서울특별시 동작구 만양로8길 50 (노량진동,우성아파트)02-817-44426108552020-08-28
28동작관악동작구중앙대부속유치원사립156-756서울특별시 동작구 흑석로 47 (흑석동,중앙대학교사범대학유치원)02-815-01466150752020-08-28
29동작관악동작구총신대부속유치원사립156-763서울특별시 동작구 사당로 143 (사당동,대한예수교장로회총회신학원)02-3479-05506143672020-08-28
30동작관악동작구태성유치원사립156-849서울특별시 동작구 여의대방로16길 1 (신대방동,태성대아파트) 태성복지관1층02-842-6122357252020-08-28
31동작관악동작구하랑숲유치원사립156-080서울특별시 동작구 동작대로41길 7 (동작동)02-2038-660610188862020-08-28
32동작관악동작구한가람유치원사립156-863서울특별시 동작구 현충로14길 26 (흑석동,한가람교회)02-812-0646233192020-08-28
33동작관악동작구행복유치원사립156-030서울특별시 동작구 상도동 산 65-18402-3280-11887175892020-08-28