Overview

Dataset statistics

Number of variables7
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description서울특별시성북강북교육지원청 관내 유치원, 초등학교, 중학교, 고등학교, 특수학교 정보(학교명, 학교 주소, 학교 전화번호)
Author서울특별시교육청 서울특별시성북강북교육지원청
URLhttps://www.data.go.kr/data/3071208/fileData.do

Alerts

번호 is highly overall correlated with 학교급High correlation
학교급 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
학교명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:12:38.936151
Analysis finished2024-03-23 05:12:40.520012
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.5
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-23T05:12:40.726806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.05
Q141.25
median81.5
Q3121.75
95-th percentile153.95
Maximum162
Range161
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation46.909487
Coefficient of variation (CV)0.57557653
Kurtosis-1.2
Mean81.5
Median Absolute Deviation (MAD)40.5
Skewness0
Sum13203
Variance2200.5
MonotonicityStrictly increasing
2024-03-23T05:12:41.210323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
123 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
Other values (152) 152
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%

설립
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공립
85 
사립
75 
국립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 85
52.5%
사립 75
46.3%
국립 2
 
1.2%

Length

2024-03-23T05:12:41.658032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:12:42.024617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 85
52.5%
사립 75
46.3%
국립 2
 
1.2%

지역
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
성북구
107 
강북구
55 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성북구
2nd row강북구
3rd row강북구
4th row성북구
5th row성북구

Common Values

ValueCountFrequency (%)
성북구 107
66.0%
강북구 55
34.0%

Length

2024-03-23T05:12:42.525628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:12:43.066188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북구 107
66.0%
강북구 55
34.0%

학교급
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유치원
63 
초등학교
43 
중학교
31 
고등학교
20 
특수학교
 
5

Length

Max length4
Median length3
Mean length3.4197531
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 63
38.9%
초등학교 43
26.5%
중학교 31
19.1%
고등학교 20
 
12.3%
특수학교 5
 
3.1%

Length

2024-03-23T05:12:43.448286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:12:43.834618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 63
38.9%
초등학교 43
26.5%
중학교 31
19.1%
고등학교 20
 
12.3%
특수학교 5
 
3.1%

학교명
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T05:12:44.347788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.6358025
Min length5

Characters and Unicode

Total characters1237
Distinct characters141
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

Unique162 ?
Unique (%)100.0%

Sample

1st row개동유치원
2nd row길물빛유치원
3rd row꿈동산유치원
4th row나래유치원
5th row덕수유치원
ValueCountFrequency (%)
개동유치원 1
 
0.6%
석관중학교 1
 
0.6%
서울화계초등학교 1
 
0.6%
길음중학교 1
 
0.6%
성신초등학교 1
 
0.6%
영훈초등학교 1
 
0.6%
우촌초등학교 1
 
0.6%
강북중학교 1
 
0.6%
개운중학교 1
 
0.6%
고려대학교사범대학부속중학교 1
 
0.6%
Other values (152) 152
93.8%
2024-03-23T05:12:45.324290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 132
 
10.7%
교 125
 
10.1%
등 82
 
6.6%
서 70
 
5.7%
원 69
 
5.6%
울 69
 
5.6%
유 68
 
5.5%
치 63
 
5.1%
초 62
 
5.0%
중 32
 
2.6%
Other values (131) 465
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1235
99.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 132
 
10.7%
교 125
 
10.1%
등 82
 
6.6%
서 70
 
5.7%
원 69
 
5.6%
울 69
 
5.6%
유 68
 
5.5%
치 63
 
5.1%
초 62
 
5.0%
중 32
 
2.6%
Other values (129) 463
37.5%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1235
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 132
 
10.7%
교 125
 
10.1%
등 82
 
6.6%
서 70
 
5.7%
원 69
 
5.6%
울 69
 
5.6%
유 68
 
5.5%
치 63
 
5.1%
초 62
 
5.0%
중 32
 
2.6%
Other values (129) 463
37.5%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1235
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 132
 
10.7%
교 125
 
10.1%
등 82
 
6.6%
서 70
 
5.7%
원 69
 
5.6%
울 69
 
5.6%
유 68
 
5.5%
치 63
 
5.1%
초 62
 
5.0%
중 32
 
2.6%
Other values (129) 463
37.5%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

주소
Text

Distinct124
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T05:12:46.023539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.5
Min length15

Characters and Unicode

Total characters2997
Distinct characters78
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

Unique89 ?
Unique (%)54.9%

Sample

1st row서울특별시 성북구 보국문로 143
2nd row서울특별시 강북구 인수봉로 260
3rd row서울특별시 강북구 한천로115길 15
4th row서울특별시 성북구 삼양로 73
5th row서울특별시 성북구 성북로 127
ValueCountFrequency (%)
서울특별시 162
25.0%
성북구 107
 
16.5%
강북구 55
 
8.5%
북악산로 8
 
1.2%
인수봉로 7
 
1.1%
52 6
 
0.9%
월계로 5
 
0.8%
39 5
 
0.8%
성북로4길 4
 
0.6%
솔샘로 4
 
0.6%
Other values (180) 285
44.0%
2024-03-23T05:12:47.480861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
486
16.2%
북 183
 
6.1%
서 166
 
5.5%
구 162
 
5.4%
특 162
 
5.4%
별 162
 
5.4%
시 162
 
5.4%
울 162
 
5.4%
로 158
 
5.3%
성 120
 
4.0%
Other values (68) 1074
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1946
64.9%
Decimal Number 555
 
18.5%
Space Separator 486
 
16.2%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 183
9.4%
서 166
8.5%
구 162
8.3%
특 162
8.3%
별 162
8.3%
시 162
8.3%
울 162
8.3%
로 158
 
8.1%
성 120
 
6.2%
길 108
 
5.5%
Other values (56) 401
20.6%
Decimal Number
ValueCountFrequency (%)
1 118
21.3%
2 72
13.0%
4 58
10.5%
3 54
9.7%
6 50
9.0%
9 49
8.8%
5 47
 
8.5%
7 40
 
7.2%
0 40
 
7.2%
8 27
 
4.9%
Space Separator
ValueCountFrequency (%)
486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1946
64.9%
Common 1051
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 183
9.4%
서 166
8.5%
구 162
8.3%
특 162
8.3%
별 162
8.3%
시 162
8.3%
울 162
8.3%
로 158
 
8.1%
성 120
 
6.2%
길 108
 
5.5%
Other values (56) 401
20.6%
Common
ValueCountFrequency (%)
486
46.2%
1 118
 
11.2%
2 72
 
6.9%
4 58
 
5.5%
3 54
 
5.1%
6 50
 
4.8%
9 49
 
4.7%
5 47
 
4.5%
7 40
 
3.8%
0 40
 
3.8%
Other values (2) 37
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1946
64.9%
ASCII 1051
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
486
46.2%
1 118
 
11.2%
2 72
 
6.9%
4 58
 
5.5%
3 54
 
5.1%
6 50
 
4.8%
9 49
 
4.7%
5 47
 
4.5%
7 40
 
3.8%
0 40
 
3.8%
Other values (2) 37
 
3.5%
Hangul
ValueCountFrequency (%)
북 183
9.4%
서 166
8.5%
구 162
8.3%
특 162
8.3%
별 162
8.3%
시 162
8.3%
울 162
8.3%
로 158
 
8.1%
성 120
 
6.2%
길 108
 
5.5%
Other values (56) 401
20.6%

전화번호
Text

Distinct161
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T05:12:48.183299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.098765
Min length11

Characters and Unicode

Total characters1798
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

Unique160 ?
Unique (%)98.8%

Sample

1st row02-915-5721
2nd row02-902-7775
3rd row02-986-0577
4th row02-913-3654
5th row02-3675-5164
ValueCountFrequency (%)
02-912-5846 2
 
1.2%
02-915-5721 1
 
0.6%
02-942-3184 1
 
0.6%
02-921-1812 1
 
0.6%
02-929-1671 1
 
0.6%
02-999-4104 1
 
0.6%
02-3291-5492 1
 
0.6%
02-914-8853 1
 
0.6%
02-926-2837 1
 
0.6%
02-910-8770 1
 
0.6%
Other values (151) 151
93.2%
2024-03-23T05:12:49.375450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 324
18.0%
2 305
17.0%
0 265
14.7%
9 210
11.7%
1 132
7.3%
4 112
 
6.2%
8 111
 
6.2%
7 108
 
6.0%
6 89
 
4.9%
5 72
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1474
82.0%
Dash Punctuation 324
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 305
20.7%
0 265
18.0%
9 210
14.2%
1 132
9.0%
4 112
 
7.6%
8 111
 
7.5%
7 108
 
7.3%
6 89
 
6.0%
5 72
 
4.9%
3 70
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 324
18.0%
2 305
17.0%
0 265
14.7%
9 210
11.7%
1 132
7.3%
4 112
 
6.2%
8 111
 
6.2%
7 108
 
6.0%
6 89
 
4.9%
5 72
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 324
18.0%
2 305
17.0%
0 265
14.7%
9 210
11.7%
1 132
7.3%
4 112
 
6.2%
8 111
 
6.2%
7 108
 
6.0%
6 89
 
4.9%
5 72
 
4.0%

Interactions

2024-03-23T05:12:39.622544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:12:49.771595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호설립지역학교급
번호1.0000.5940.2150.975
설립0.5941.0000.0000.358
지역0.2150.0001.0000.113
학교급0.9750.3580.1131.000
2024-03-23T05:12:50.055191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립지역학교급
설립1.0000.0000.288
지역0.0001.0000.136
학교급0.2880.1361.000
2024-03-23T05:12:50.305161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호설립지역학교급
번호1.0000.4270.1600.764
설립0.4271.0000.0000.288
지역0.1600.0001.0000.136
학교급0.7640.2880.1361.000

Missing values

2024-03-23T05:12:39.995561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:12:40.393240image/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

번호설립지역학교급학교명주소전화번호
01사립성북구유치원개동유치원서울특별시 성북구 보국문로 14302-915-5721
12사립강북구유치원길물빛유치원서울특별시 강북구 인수봉로 26002-902-7775
23사립강북구유치원꿈동산유치원서울특별시 강북구 한천로115길 1502-986-0577
34사립성북구유치원나래유치원서울특별시 성북구 삼양로 7302-913-3654
45사립성북구유치원덕수유치원서울특별시 성북구 성북로 12702-3675-5164
56사립성북구유치원동덕여자대학교부속유치원서울특별시 성북구 장월로1가길 902-940-4272
67사립성북구유치원동선유치원서울특별시 성북구 보문로 9802-926-3704
78사립성북구유치원두산효자유치원서울특별시 성북구 화랑로48길 1602-963-8334
89사립성북구유치원루이유치원서울특별시 성북구 서경로6길 1302-919-5959
910사립성북구유치원반디유치원서울특별시 성북구 성북로4길 5202-929-1228
번호설립지역학교급학교명주소전화번호
152153사립성북구고등학교용문고등학교서울특별시 성북구 고려대로17가길 4602-928-3871
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156157사립성북구고등학교홍익대학교사범대학부속고등학교서울특별시 성북구 성북로14가길 2302-762-0826
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