Overview

Dataset statistics

Number of variables8
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
Duplicate rows (%)9.8%
Total size in memory3.4 KiB
Average record size in memory67.6 B

Variable types

Categorical7
Text1

Dataset

Description제주특별자치도교육청 소속 학교에서 운영되고 있는 통학 버스에 대한 현황(관할교육청,학교급, 설립구분, 학교명, 차종, 승차정원, 차량구분, 기준일을 보여줌
Author제주특별자치도교육청
URLhttps://www.data.go.kr/data/15102180/fileData.do

Alerts

기준일 has constant value ""Constant
Dataset has 5 (9.8%) duplicate rowsDuplicates
관할 교육청 is highly overall correlated with 학교급 and 1 other fieldsHigh correlation
학교급 is highly overall correlated with 관할 교육청 and 1 other fieldsHigh correlation
설립구분 is highly overall correlated with 관할 교육청 and 1 other fieldsHigh correlation
차종 is highly overall correlated with 승차정원High correlation
승차정원 is highly overall correlated with 차종High correlation

Reproduction

Analysis started2023-12-12 05:31:37.231507
Analysis finished2023-12-12 05:31:37.985786
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할 교육청
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
서귀포시교육지원청
21 
제주시교육지원청
19 
제주특별자치도교육청
11 

Length

Max length10
Median length9
Mean length8.8431373
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시교육지원청 21
41.2%
제주시교육지원청 19
37.3%
제주특별자치도교육청 11
21.6%

Length

2023-12-12T14:31:38.084540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:38.204585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시교육지원청 21
41.2%
제주시교육지원청 19
37.3%
제주특별자치도교육청 11
21.6%

학교급
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
초등학교
34 
특수학교
11 
중학교
6 

Length

Max length4
Median length4
Mean length3.8823529
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 34
66.7%
특수학교 11
 
21.6%
중학교 6
 
11.8%

Length

2023-12-12T14:31:38.324708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:38.733402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 34
66.7%
특수학교 11
 
21.6%
중학교 6
 
11.8%

설립구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
공립
39 
사립
7 
국립
5 

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 39
76.5%
사립 7
 
13.7%
국립 5
 
9.8%

Length

2023-12-12T14:31:38.845541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:38.968765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 39
76.5%
사립 7
 
13.7%
국립 5
 
9.8%

학교명
Text

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T14:31:39.162073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length7.0196078
Min length6

Characters and Unicode

Total characters358
Distinct characters63
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

Unique29 ?
Unique (%)56.9%

Sample

1st row제주영송학교
2nd row제주영송학교
3rd row제주영송학교
4th row제주영송학교
5th row제주영송학교
ValueCountFrequency (%)
제주영송학교 6
 
11.8%
제주대학교사범대학부설중학교 5
 
9.8%
제주영지학교 3
 
5.9%
신창초등학교 2
 
3.9%
한마음초등학교 2
 
3.9%
보성초등학교 2
 
3.9%
서귀포온성학교 2
 
3.9%
토산초등학교 1
 
2.0%
예래초등학교 1
 
2.0%
하례초등학교 1
 
2.0%
Other values (26) 26
51.0%
2023-12-12T14:31:39.521372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 61
17.0%
교 58
16.2%
초 35
 
9.8%
등 34
 
9.5%
주 14
 
3.9%
제 14
 
3.9%
대 12
 
3.4%
영 9
 
2.5%
중 7
 
2.0%
송 6
 
1.7%
Other values (53) 108
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 61
17.0%
교 58
16.2%
초 35
 
9.8%
등 34
 
9.5%
주 14
 
3.9%
제 14
 
3.9%
대 12
 
3.4%
영 9
 
2.5%
중 7
 
2.0%
송 6
 
1.7%
Other values (53) 108
30.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 61
17.0%
교 58
16.2%
초 35
 
9.8%
등 34
 
9.5%
주 14
 
3.9%
제 14
 
3.9%
대 12
 
3.4%
영 9
 
2.5%
중 7
 
2.0%
송 6
 
1.7%
Other values (53) 108
30.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 61
17.0%
교 58
16.2%
초 35
 
9.8%
등 34
 
9.5%
주 14
 
3.9%
제 14
 
3.9%
대 12
 
3.4%
영 9
 
2.5%
중 7
 
2.0%
송 6
 
1.7%
Other values (53) 108
30.2%

차종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
대형
27 
중형
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대형
2nd row대형
3rd row대형
4th row대형
5th row중형

Common Values

ValueCountFrequency (%)
대형 27
52.9%
중형 24
47.1%

Length

2023-12-12T14:31:39.650379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:39.745676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형 27
52.9%
중형 24
47.1%

승차정원
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
36
30 
35
19 
45
 
1
25
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row36
2nd row36
3rd row36
4th row36
5th row35

Common Values

ValueCountFrequency (%)
36 30
58.8%
35 19
37.3%
45 1
 
2.0%
25 1
 
2.0%

Length

2023-12-12T14:31:39.834012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:39.930814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36 30
58.8%
35 19
37.3%
45 1
 
2.0%
25 1
 
2.0%

차량구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
직영
29 
임대
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직영
2nd row직영
3rd row직영
4th row직영
5th row임대

Common Values

ValueCountFrequency (%)
직영 29
56.9%
임대 22
43.1%

Length

2023-12-12T14:31:40.047945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:40.135891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 29
56.9%
임대 22
43.1%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-09-01
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-01
2nd row2023-09-01
3rd row2023-09-01
4th row2023-09-01
5th row2023-09-01

Common Values

ValueCountFrequency (%)
2023-09-01 51
100.0%

Length

2023-12-12T14:31:40.232280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:31:40.332155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-01 51
100.0%

Correlations

2023-12-12T14:31:40.395292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할 교육청학교급설립구분학교명차종승차정원차량구분
관할 교육청1.0000.9630.8291.0000.2880.1370.111
학교급0.9631.0000.9691.0000.2970.3210.260
설립구분0.8290.9691.0001.0000.2430.2670.203
학교명1.0001.0001.0001.0000.8420.9940.865
차종0.2880.2970.2430.8421.0000.9700.000
승차정원0.1370.3210.2670.9940.9701.0000.000
차량구분0.1110.2600.2030.8650.0000.0001.000
2023-12-12T14:31:40.566598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승차정원학교급차종설립구분관할 교육청차량구분
승차정원1.0000.3040.8250.2510.1230.000
학교급0.3041.0000.4740.7820.7620.418
차종0.8250.4741.0000.3910.4610.000
설립구분0.2510.7820.3911.0000.5020.328
관할 교육청0.1230.7620.4610.5021.0000.180
차량구분0.0000.4180.0000.3280.1801.000
2023-12-12T14:31:40.691224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할 교육청학교급설립구분차종승차정원차량구분
관할 교육청1.0000.7620.5020.4610.1230.180
학교급0.7621.0000.7820.4740.3040.418
설립구분0.5020.7821.0000.3910.2510.328
차종0.4610.4740.3911.0000.8250.000
승차정원0.1230.3040.2510.8251.0000.000
차량구분0.1800.4180.3280.0000.0001.000

Missing values

2023-12-12T14:31:37.790731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:31:37.935005image/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

관할 교육청학교급설립구분학교명차종승차정원차량구분기준일
0제주특별자치도교육청특수학교사립제주영송학교대형36직영2023-09-01
1제주특별자치도교육청특수학교사립제주영송학교대형36직영2023-09-01
2제주특별자치도교육청특수학교사립제주영송학교대형36직영2023-09-01
3제주특별자치도교육청특수학교사립제주영송학교대형36직영2023-09-01
4제주특별자치도교육청특수학교사립제주영송학교중형35임대2023-09-01
5제주특별자치도교육청특수학교사립제주영송학교대형36임대2023-09-01
6제주특별자치도교육청특수학교공립제주영지학교중형35직영2023-09-01
7제주특별자치도교육청특수학교공립제주영지학교대형36직영2023-09-01
8제주특별자치도교육청특수학교공립제주영지학교대형36직영2023-09-01
9제주특별자치도교육청특수학교공립서귀포온성학교대형36직영2023-09-01
관할 교육청학교급설립구분학교명차종승차정원차량구분기준일
41서귀포시교육지원청초등학교공립대정서초등학교중형35임대2023-09-01
42서귀포시교육지원청초등학교공립신산초등학교중형35직영2023-09-01
43서귀포시교육지원청초등학교공립토산초등학교대형36임대2023-09-01
44서귀포시교육지원청초등학교공립한마음초등학교대형36직영2023-09-01
45서귀포시교육지원청초등학교공립한마음초등학교대형36직영2023-09-01
46서귀포시교육지원청초등학교공립신례초초등학교중형25임대2023-09-01
47서귀포시교육지원청초등학교공립의귀초등학교중형36임대2023-09-01
48서귀포시교육지원청초등학교공립태흥초등학교중형36임대2023-09-01
49서귀포시교육지원청초등학교공립흥산초등학교중형36임대2023-09-01
50서귀포시교육지원청초등학교공립하원초등학교중형36임대2023-09-01

Duplicate rows

Most frequently occurring

관할 교육청학교급설립구분학교명차종승차정원차량구분기준일# duplicates
1제주시교육지원청중학교국립제주대학교사범대학부설중학교대형36임대2023-09-015
4제주특별자치도교육청특수학교사립제주영송학교대형36직영2023-09-014
0서귀포시교육지원청초등학교공립한마음초등학교대형36직영2023-09-012
2제주특별자치도교육청특수학교공립서귀포온성학교대형36직영2023-09-012
3제주특별자치도교육청특수학교공립제주영지학교대형36직영2023-09-012