Overview

Dataset statistics

Number of variables7
Number of observations227
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory57.6 B

Variable types

Categorical3
Numeric1
Text3

Dataset

Description서울특별시북부교육지원청 관내(노원구, 도봉구)의 학교·평생교육시설 현황 정보(학교명, 주소, 전화번호 등) 제공
Author서울특별시교육청 서울특별시북부교육지원청
URLhttps://www.data.go.kr/data/3071232/fileData.do

Alerts

교육과정 is highly overall correlated with 설립High correlation
설립 is highly overall correlated with 교육과정High correlation
교명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:04:23.786097
Analysis finished2023-12-12 14:04:24.511482
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육과정
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
유치원
87 
초등학교
65 
중학교
40 
고등학교
35 

Length

Max length4
Median length3
Mean length3.4405286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 87
38.3%
초등학교 65
28.6%
중학교 40
17.6%
고등학교 35
15.4%

Length

2023-12-12T23:04:24.615240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:24.789412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 87
38.3%
초등학교 65
28.6%
중학교 40
17.6%
고등학교 35
15.4%

번호
Real number (ℝ)

Distinct87
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.700441
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T23:04:24.947377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q115
median29
Q348
95-th percentile75.7
Maximum87
Range86
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.189812
Coefficient of variation (CV)0.67857837
Kurtosis-0.52748652
Mean32.700441
Median Absolute Deviation (MAD)16
Skewness0.60047628
Sum7423
Variance492.38774
MonotonicityNot monotonic
2023-12-12T23:04:25.402767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
1.8%
19 4
 
1.8%
21 4
 
1.8%
22 4
 
1.8%
23 4
 
1.8%
24 4
 
1.8%
25 4
 
1.8%
26 4
 
1.8%
28 4
 
1.8%
29 4
 
1.8%
Other values (77) 187
82.4%
ValueCountFrequency (%)
1 4
1.8%
2 4
1.8%
3 4
1.8%
4 4
1.8%
5 4
1.8%
6 4
1.8%
7 4
1.8%
8 4
1.8%
9 4
1.8%
10 4
1.8%
ValueCountFrequency (%)
87 1
0.4%
86 1
0.4%
85 1
0.4%
84 1
0.4%
83 1
0.4%
82 1
0.4%
81 1
0.4%
80 1
0.4%
79 1
0.4%
78 1
0.4%

설립
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
공립
134 
사립
93 

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 134
59.0%
사립 93
41.0%

Length

2023-12-12T23:04:25.536389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:25.656293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 134
59.0%
사립 93
41.0%

교명
Text

UNIQUE 

Distinct227
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T23:04:25.938799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.3832599
Min length5

Characters and Unicode

Total characters1676
Distinct characters147
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

Unique227 ?
Unique (%)100.0%

Sample

1st row서울가인초등학교병설유치원
2nd row서울계상초등학교병설유치원
3rd row서울공릉초등학교병설유치원
4th row서울공연초등학교병설유치원
5th row서울노일유치원
ValueCountFrequency (%)
서울가인초등학교병설유치원 1
 
0.4%
서울창일초등학교 1
 
0.4%
노원중학교 1
 
0.4%
서울초당초등학교 1
 
0.4%
서울태랑초등학교 1
 
0.4%
서울태릉초등학교 1
 
0.4%
서울한천초등학교 1
 
0.4%
청원초등학교 1
 
0.4%
태강삼육초등학교 1
 
0.4%
한신초등학교 1
 
0.4%
Other values (218) 218
95.6%
2023-12-12T23:04:26.384741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
10.5%
167
 
10.0%
126
 
7.5%
108
 
6.4%
96
 
5.7%
96
 
5.7%
93
 
5.5%
88
 
5.3%
88
 
5.3%
46
 
2.7%
Other values (137) 592
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1675
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
176
 
10.5%
167
 
10.0%
126
 
7.5%
108
 
6.4%
96
 
5.7%
96
 
5.7%
93
 
5.6%
88
 
5.3%
88
 
5.3%
46
 
2.7%
Other values (136) 591
35.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1675
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
176
 
10.5%
167
 
10.0%
126
 
7.5%
108
 
6.4%
96
 
5.7%
96
 
5.7%
93
 
5.6%
88
 
5.3%
88
 
5.3%
46
 
2.7%
Other values (136) 591
35.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1675
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
176
 
10.5%
167
 
10.0%
126
 
7.5%
108
 
6.4%
96
 
5.7%
96
 
5.7%
93
 
5.6%
88
 
5.3%
88
 
5.3%
46
 
2.7%
Other values (136) 591
35.3%
ASCII
ValueCountFrequency (%)
1
100.0%

행정구
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
노원구
154 
도봉구
73 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도봉구
2nd row노원구
3rd row노원구
4th row노원구
5th row노원구

Common Values

ValueCountFrequency (%)
노원구 154
67.8%
도봉구 73
32.2%

Length

2023-12-12T23:04:26.521875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:26.619524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노원구 154
67.8%
도봉구 73
32.2%

주소
Text

Distinct193
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T23:04:27.030129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.819383
Min length16

Characters and Unicode

Total characters4272
Distinct characters71
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

Unique163 ?
Unique (%)71.8%

Sample

1st row서울특별시 도봉구 도봉로136다길 4
2nd row서울특별시 노원구 한글비석로41가길 24
3rd row서울특별시 노원구 동일로 173길 12
4th row서울특별시 노원구 동일로192가길 16
5th row서울특별시 노원구 동일로 231길 24
ValueCountFrequency (%)
서울특별시 225
24.2%
노원구 153
 
16.4%
도봉구 74
 
7.9%
동일로 13
 
1.4%
시루봉로 11
 
1.2%
공릉로 11
 
1.2%
마들로 10
 
1.1%
덕릉로 10
 
1.1%
한글비석로 8
 
0.9%
섬밭로 8
 
0.9%
Other values (251) 408
43.8%
2023-12-12T23:04:27.714936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
705
16.5%
237
 
5.5%
227
 
5.3%
227
 
5.3%
227
 
5.3%
225
 
5.3%
225
 
5.3%
220
 
5.1%
183
 
4.3%
166
 
3.9%
Other values (61) 1630
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2713
63.5%
Decimal Number 840
 
19.7%
Space Separator 705
 
16.5%
Dash Punctuation 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
237
 
8.7%
227
 
8.4%
227
 
8.4%
227
 
8.4%
225
 
8.3%
225
 
8.3%
220
 
8.1%
183
 
6.7%
166
 
6.1%
130
 
4.8%
Other values (49) 646
23.8%
Decimal Number
ValueCountFrequency (%)
1 165
19.6%
2 121
14.4%
6 99
11.8%
3 95
11.3%
4 87
10.4%
5 81
9.6%
9 60
 
7.1%
8 55
 
6.5%
7 44
 
5.2%
0 33
 
3.9%
Space Separator
ValueCountFrequency (%)
705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2713
63.5%
Common 1559
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
237
 
8.7%
227
 
8.4%
227
 
8.4%
227
 
8.4%
225
 
8.3%
225
 
8.3%
220
 
8.1%
183
 
6.7%
166
 
6.1%
130
 
4.8%
Other values (49) 646
23.8%
Common
ValueCountFrequency (%)
705
45.2%
1 165
 
10.6%
2 121
 
7.8%
6 99
 
6.4%
3 95
 
6.1%
4 87
 
5.6%
5 81
 
5.2%
9 60
 
3.8%
8 55
 
3.5%
7 44
 
2.8%
Other values (2) 47
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2713
63.5%
ASCII 1559
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
705
45.2%
1 165
 
10.6%
2 121
 
7.8%
6 99
 
6.4%
3 95
 
6.1%
4 87
 
5.6%
5 81
 
5.2%
9 60
 
3.8%
8 55
 
3.5%
7 44
 
2.8%
Other values (2) 47
 
3.0%
Hangul
ValueCountFrequency (%)
237
 
8.7%
227
 
8.4%
227
 
8.4%
227
 
8.4%
225
 
8.3%
225
 
8.3%
220
 
8.1%
183
 
6.7%
166
 
6.1%
130
 
4.8%
Other values (49) 646
23.8%
Distinct218
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T23:04:28.022644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.15859
Min length11

Characters and Unicode

Total characters2533
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

Unique209 ?
Unique (%)92.1%

Sample

1st row02-997-5826
2nd row02-939-0872
3rd row02-973-3074
4th row02-3399-2177
5th row02-938-9642
ValueCountFrequency (%)
02-997-5826 2
 
0.9%
02-949-0025 2
 
0.9%
02-992-5672 2
 
0.9%
02-904-9552 2
 
0.9%
02-976-1433 2
 
0.9%
02-939-0872 2
 
0.9%
02-932-0605 2
 
0.9%
02-938-7974 2
 
0.9%
02-993-9448 2
 
0.9%
02-942-2293 1
 
0.4%
Other values (208) 208
91.6%
2023-12-12T23:04:28.507258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 454
17.9%
0 395
15.6%
2 379
15.0%
9 343
13.5%
3 192
7.6%
7 160
 
6.3%
1 134
 
5.3%
5 126
 
5.0%
4 122
 
4.8%
8 117
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2079
82.1%
Dash Punctuation 454
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 395
19.0%
2 379
18.2%
9 343
16.5%
3 192
9.2%
7 160
7.7%
1 134
 
6.4%
5 126
 
6.1%
4 122
 
5.9%
8 117
 
5.6%
6 111
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 454
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2533
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 454
17.9%
0 395
15.6%
2 379
15.0%
9 343
13.5%
3 192
7.6%
7 160
 
6.3%
1 134
 
5.3%
5 126
 
5.0%
4 122
 
4.8%
8 117
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 454
17.9%
0 395
15.6%
2 379
15.0%
9 343
13.5%
3 192
7.6%
7 160
 
6.3%
1 134
 
5.3%
5 126
 
5.0%
4 122
 
4.8%
8 117
 
4.6%

Interactions

2023-12-12T23:04:24.127008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:04:28.604256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육과정번호설립행정구
교육과정1.0000.4420.7230.000
번호0.4421.0000.6240.141
설립0.7230.6241.0000.082
행정구0.0000.1410.0821.000
2023-12-12T23:04:28.684034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육과정행정구설립
교육과정1.0000.0000.515
행정구0.0001.0000.052
설립0.5150.0521.000
2023-12-12T23:04:28.760498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호교육과정설립행정구
번호1.0000.2750.4750.105
교육과정0.2751.0000.5150.000
설립0.4750.5151.0000.052
행정구0.1050.0000.0521.000

Missing values

2023-12-12T23:04:24.266738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:04:24.444256image/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

교육과정번호설립교명행정구주소전화번호
0유치원1공립서울가인초등학교병설유치원도봉구서울특별시 도봉구 도봉로136다길 402-997-5826
1유치원2공립서울계상초등학교병설유치원노원구서울특별시 노원구 한글비석로41가길 2402-939-0872
2유치원3공립서울공릉초등학교병설유치원노원구서울특별시 노원구 동일로 173길 1202-973-3074
3유치원4공립서울공연초등학교병설유치원노원구서울특별시 노원구 동일로192가길 1602-3399-2177
4유치원5공립서울노일유치원노원구서울특별시 노원구 동일로 231길 2402-938-9642
5유치원6공립서울당현초등학교병설유치원노원구서울특별시 노원구 동일로213길 5202-932-0605
6유치원7공립서울도봉초등학교병설유치원도봉구서울특별시 도봉구 도봉로173길 9602-954-6672
7유치원8공립서울동일초등학교병설유치원노원구서울특별시 노원구 한글비석길 56602-952-7465
8유치원9공립서울마들유치원도봉구서울특별시 도봉구 마들로 56702-992-1701
9유치원10공립서울방학유치원도봉구서울특별시 도봉구 도당로6길 14-1102-3494-1100
교육과정번호설립교명행정구주소전화번호
217고등학교26사립인덕공업고등학교노원구서울특별시 노원구 초안산길 1202-902-2060
218고등학교27공립자운고등학교도봉구서울특별시 도봉구 노해로69길 15002-998-2929
219고등학교28사립재현고등학교노원구서울특별시 노원구 덕릉로82길 6402-932-4811
220고등학교29사립정의여자고등학교도봉구서울특별시 도봉구 노해로 49길 6902-992-5104
221고등학교30공립창동고등학교도봉구서울특별시 도봉구 노해로62길 702-3499-6708
222고등학교31사립청원고등학교노원구서울특별시 노원구 한글비석로 50602-3399-7771
223고등학교32사립청원여자고등학교노원구서울특별시 노원구 한글비석로 50602-3399-7811
224고등학교33사립한국삼육고등학교노원구서울특별시 노원구 화랑로 81502-3399-0774
225고등학교34사립혜성여자고등학교노원구서울특별시 노원구 노원로16길 202-972-4040
226고등학교35공립효문고등학교도봉구서울특별시 도봉구 우이천로 43202-992-0778