Overview

Dataset statistics

Number of variables7
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description서울특별시동작관악교육지원청 관내(동작구, 관악구) 학교 목록, 소재구, 설립구분, 전화번호, 주소 제공합니다.
Author서울특별시교육청 서울특별시동작관악교육지원청
URLhttps://www.data.go.kr/data/15053600/fileData.do

Alerts

순번 is highly overall correlated with 학교급 and 1 other fieldsHigh correlation
학교급 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
설립 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
순번 has unique valuesUnique
학교명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:19:58.817716
Analysis finished2023-12-12 14:19:59.425333
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.5
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:19:59.507685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.35
Q142.75
median84.5
Q3126.25
95-th percentile159.65
Maximum168
Range167
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation48.641546
Coefficient of variation (CV)0.5756396
Kurtosis-1.2
Mean84.5
Median Absolute Deviation (MAD)42
Skewness0
Sum14196
Variance2366
MonotonicityStrictly increasing
2023-12-12T23:19:59.658348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
117 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
Other values (158) 158
94.0%
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 (%)
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%

학교급
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유치원
63 
초등학교
43 
중학교
32 
고등학교
24 
특수학교
 
4
Other values (2)
 
2

Length

Max length10
Median length3
Mean length3.4702381
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 63
37.5%
초등학교 43
25.6%
중학교 32
19.0%
고등학교 24
 
14.3%
특수학교 4
 
2.4%
각종학교 1
 
0.6%
학력인정평생교육시설 1
 
0.6%

Length

2023-12-12T23:19:59.809707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:19:59.959051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 63
37.5%
초등학교 43
25.6%
중학교 32
19.0%
고등학교 24
 
14.3%
특수학교 4
 
2.4%
각종학교 1
 
0.6%
학력인정평생교육시설 1
 
0.6%

소재구
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
관악구
90 
동작구
78 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관악구 90
53.6%
동작구 78
46.4%

Length

2023-12-12T23:20:00.128059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:00.237041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관악구 90
53.6%
동작구 78
46.4%

설립
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공립
102 
사립
66 

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 (%)
공립 102
60.7%
사립 66
39.3%

Length

2023-12-12T23:20:00.444122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:00.576447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 102
60.7%
사립 66
39.3%

학교명
Text

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:20:00.868920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.4702381
Min length4

Characters and Unicode

Total characters1255
Distinct characters122
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

Unique168 ?
Unique (%)100.0%

Sample

1st row서울강남초등학교병설유치원
2nd row서울관악초등학교병설유치원
3rd row서울구암유치원
4th row서울난곡초등학교병설유치원
5th row서울남부초등학교병설유치원
ValueCountFrequency (%)
서울강남초등학교병설유치원 1
 
0.6%
당곡중학교 1
 
0.6%
상현중학교 1
 
0.6%
강현중학교 1
 
0.6%
관악중학교 1
 
0.6%
구암중학교 1
 
0.6%
국사봉중학교 1
 
0.6%
난우중학교 1
 
0.6%
남서울중학교 1
 
0.6%
남성중학교 1
 
0.6%
Other values (158) 158
94.0%
2023-12-12T23:20:01.360073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 131
 
10.4%
교 128
 
10.2%
등 90
 
7.2%
서 78
 
6.2%
울 78
 
6.2%
원 69
 
5.5%
유 63
 
5.0%
초 63
 
5.0%
치 63
 
5.0%
중 36
 
2.9%
Other values (112) 456
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1255
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 131
 
10.4%
교 128
 
10.2%
등 90
 
7.2%
서 78
 
6.2%
울 78
 
6.2%
원 69
 
5.5%
유 63
 
5.0%
초 63
 
5.0%
치 63
 
5.0%
중 36
 
2.9%
Other values (112) 456
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1255
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 131
 
10.4%
교 128
 
10.2%
등 90
 
7.2%
서 78
 
6.2%
울 78
 
6.2%
원 69
 
5.5%
유 63
 
5.0%
초 63
 
5.0%
치 63
 
5.0%
중 36
 
2.9%
Other values (112) 456
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1255
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 131
 
10.4%
교 128
 
10.2%
등 90
 
7.2%
서 78
 
6.2%
울 78
 
6.2%
원 69
 
5.5%
유 63
 
5.0%
초 63
 
5.0%
치 63
 
5.0%
중 36
 
2.9%
Other values (112) 456
36.3%

전화번호
Text

Distinct165
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:20:01.671824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.095238
Min length11

Characters and Unicode

Total characters1864
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

Unique162 ?
Unique (%)96.4%

Sample

1st row02-824-0503
2nd row02-883-0932
3rd row02-889-9930
4th row02-853-9871
5th row02-857-5033
ValueCountFrequency (%)
02-822-1984 2
 
1.2%
02-855-2131 2
 
1.2%
02-815-1334 2
 
1.2%
02-840-3532 1
 
0.6%
02-8243-8888 1
 
0.6%
02-580-8905 1
 
0.6%
02-870-7704 1
 
0.6%
02-831-2502 1
 
0.6%
02-889-1782 1
 
0.6%
02-881-2900 1
 
0.6%
Other values (155) 155
92.3%
2023-12-12T23:20:02.092644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 336
18.0%
2 285
15.3%
0 263
14.1%
8 235
12.6%
1 152
8.2%
5 126
 
6.8%
3 119
 
6.4%
7 108
 
5.8%
4 82
 
4.4%
6 82
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1528
82.0%
Dash Punctuation 336
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 285
18.7%
0 263
17.2%
8 235
15.4%
1 152
9.9%
5 126
8.2%
3 119
7.8%
7 108
 
7.1%
4 82
 
5.4%
6 82
 
5.4%
9 76
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 336
18.0%
2 285
15.3%
0 263
14.1%
8 235
12.6%
1 152
8.2%
5 126
 
6.8%
3 119
 
6.4%
7 108
 
5.8%
4 82
 
4.4%
6 82
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 336
18.0%
2 285
15.3%
0 263
14.1%
8 235
12.6%
1 152
8.2%
5 126
 
6.8%
3 119
 
6.4%
7 108
 
5.8%
4 82
 
4.4%
6 82
 
4.4%

주소
Text

Distinct161
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:20:02.416591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length30.791667
Min length17

Characters and Unicode

Total characters5173
Distinct characters167
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)91.7%

Sample

1st row서울특별시 동작구 강남초등길 15 , 서울강남초등학교병설유치원 (상도1동)
2nd row서울특별시 관악구 청룡4길 49 (봉천동)
3rd row서울특별시 관악구 은천로 93 (봉천동, 벽산블루밍아파트)
4th row서울특별시 관악구 난곡로35길 102 (신림동, 서울난곡초등학교)
5th row서울특별시 관악구 남부순환로163길 14 (신림동)
ValueCountFrequency (%)
서울특별시 168
 
16.8%
관악구 90
 
9.0%
동작구 78
 
7.8%
70
 
7.0%
신림동 34
 
3.4%
봉천동 29
 
2.9%
사당동 14
 
1.4%
대방동 14
 
1.4%
상도동 11
 
1.1%
신대방동 6
 
0.6%
Other values (334) 485
48.5%
2023-12-12T23:20:02.910845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
837
 
16.2%
동 261
 
5.0%
서 208
 
4.0%
울 204
 
3.9%
구 172
 
3.3%
별 169
 
3.3%
시 169
 
3.3%
특 168
 
3.2%
) 165
 
3.2%
( 165
 
3.2%
Other values (157) 2655
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3312
64.0%
Space Separator 837
 
16.2%
Decimal Number 566
 
10.9%
Close Punctuation 165
 
3.2%
Open Punctuation 165
 
3.2%
Other Punctuation 112
 
2.2%
Dash Punctuation 13
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 261
 
7.9%
서 208
 
6.3%
울 204
 
6.2%
구 172
 
5.2%
별 169
 
5.1%
시 169
 
5.1%
특 168
 
5.1%
로 130
 
3.9%
길 118
 
3.6%
관 104
 
3.1%
Other values (139) 1609
48.6%
Decimal Number
ValueCountFrequency (%)
1 117
20.7%
2 79
14.0%
4 73
12.9%
5 59
10.4%
3 58
10.2%
6 51
9.0%
7 38
 
6.7%
9 36
 
6.4%
0 31
 
5.5%
8 24
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
R 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
837
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3312
64.0%
Common 1858
35.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 261
 
7.9%
서 208
 
6.3%
울 204
 
6.2%
구 172
 
5.2%
별 169
 
5.1%
시 169
 
5.1%
특 168
 
5.1%
로 130
 
3.9%
길 118
 
3.6%
관 104
 
3.1%
Other values (139) 1609
48.6%
Common
ValueCountFrequency (%)
837
45.0%
) 165
 
8.9%
( 165
 
8.9%
1 117
 
6.3%
, 112
 
6.0%
2 79
 
4.3%
4 73
 
3.9%
5 59
 
3.2%
3 58
 
3.1%
6 51
 
2.7%
Other values (5) 142
 
7.6%
Latin
ValueCountFrequency (%)
S 1
33.3%
R 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3312
64.0%
ASCII 1861
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
837
45.0%
) 165
 
8.9%
( 165
 
8.9%
1 117
 
6.3%
, 112
 
6.0%
2 79
 
4.2%
4 73
 
3.9%
5 59
 
3.2%
3 58
 
3.1%
6 51
 
2.7%
Other values (8) 145
 
7.8%
Hangul
ValueCountFrequency (%)
동 261
 
7.9%
서 208
 
6.3%
울 204
 
6.2%
구 172
 
5.2%
별 169
 
5.1%
시 169
 
5.1%
특 168
 
5.1%
로 130
 
3.9%
길 118
 
3.6%
관 104
 
3.1%
Other values (139) 1609
48.6%

Interactions

2023-12-12T23:19:59.123953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:20:03.022845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번학교급소재구설립
순번1.0000.8430.0000.890
학교급0.8431.0000.0000.479
소재구0.0000.0001.0000.000
설립0.8900.4790.0001.000
2023-12-12T23:20:03.136068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립소재구학교급
설립1.0000.0000.506
소재구0.0001.0000.000
학교급0.5060.0001.000
2023-12-12T23:20:03.307983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번학교급소재구설립
순번1.0000.6360.0000.708
학교급0.6361.0000.0000.506
소재구0.0000.0001.0000.000
설립0.7080.5060.0001.000

Missing values

2023-12-12T23:19:59.244298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:19:59.379508image/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

순번학교급소재구설립학교명전화번호주소
01유치원동작구공립서울강남초등학교병설유치원02-824-0503서울특별시 동작구 강남초등길 15 , 서울강남초등학교병설유치원 (상도1동)
12유치원관악구공립서울관악초등학교병설유치원02-883-0932서울특별시 관악구 청룡4길 49 (봉천동)
23유치원관악구공립서울구암유치원02-889-9930서울특별시 관악구 은천로 93 (봉천동, 벽산블루밍아파트)
34유치원관악구공립서울난곡초등학교병설유치원02-853-9871서울특별시 관악구 난곡로35길 102 (신림동, 서울난곡초등학교)
45유치원관악구공립서울남부초등학교병설유치원02-857-5033서울특별시 관악구 남부순환로163길 14 (신림동)
56유치원동작구공립서울남성초등학교병설유치원02-595-3991서울특별시 동작구 사당로23길 57-14 서울남성초등학교 (사당동)
67유치원관악구공립서울남현유치원02-585-2031서울특별시 관악구 남현4길 51
78유치원동작구공립서울노량진초등학교병설유치원02-817-1264서울특별시 동작구 장승배기로 160 (노량진동)
89유치원관악구공립서울당곡초등학교병설유치원02-882-6906서울특별시 관악구 보라매로 2길 23 (봉천동)
910유치원동작구공립서울문창초등학교병설유치원02-836-9535서울특별시 동작구 신대방2길 14 (신대방동,서울문창초등학교)
순번학교급소재구설립학교명전화번호주소
158159고등학교관악구사립미림여자정보과학고등학교02-872-4072서울특별시 관악구 호암로 546 , 미림여자정보과학고등학교 (신림동)
159160고등학교관악구사립서울관광고등학교02-886-9165서울특별시 관악구 은천로15길 25 (서울관광고등학교)
160161고등학교관악구사립서울여자상업고등학교02-873-3613서울특별시 관악구 관악로 85 (봉천동,서울여자상업고등학교)
161162고등학교관악구사립영락의료과학고등학교02-884-1882서울특별시 관악구 청룡16길 25 (봉천동)영락의료과학고
162163특수학교관악구공립서울정문학교02-869-7189서울특별시 관악구 난향3길 31 (신림동)
163164특수학교동작구사립누리학교02-8243-8888서울특별시 동작구 상도로 53 (대방동)
164165특수학교관악구사립새롬학교02-840-3532서울특별시 관악구 보라매로 44 , SRC외래센터 4층 새롬학교 (봉천동)
165166특수학교동작구사립서울삼성학교02-823-7430서울특별시 동작구 양녕로30길 19-4 , 서울삼성학교 (상도동)
166167각종학교관악구공립서울산업정보학교02-874-0634서울특별시 관악구 신림로 67 , 서울산업정보학교 (신림동)
167168학력인정평생교육시설동작구사립신동신중정보산업고등학교02-591-9217서울특별시 동작구 동작대로33마길 27-1 (사당동)