Overview

Dataset statistics

Number of variables4
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory36.6 B

Variable types

Categorical3
Numeric1

Dataset

Description- 시도 및 고등학생 학년별 사교육 참여율 정보를 제공합니다. - 사교육 참여율은 전체 학생(사교육을 받지 않은 학생 포함) 중 사교육비를 지출한 참여 학생의 비율입니다. - 데이터 제공처: KOSIS 국가통계포털
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/887

Alerts

기준 연도 has constant value ""Constant

Reproduction

Analysis started2023-12-11 19:42:24.734402
Analysis finished2023-12-11 19:42:25.183587
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준 연도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2019
51 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 51
100.0%

Length

2023-12-12T04:42:25.258054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:42:25.367307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 51
100.0%

시도
Categorical

Distinct17
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size540.0 B
서울
 
3
부산
 
3
대구
 
3
인천
 
3
광주
 
3
Other values (12)
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row대구
4th row인천
5th row광주

Common Values

ValueCountFrequency (%)
서울 3
 
5.9%
부산 3
 
5.9%
대구 3
 
5.9%
인천 3
 
5.9%
광주 3
 
5.9%
대전 3
 
5.9%
울산 3
 
5.9%
세종 3
 
5.9%
경기 3
 
5.9%
강원 3
 
5.9%
Other values (7) 21
41.2%

Length

2023-12-12T04:42:25.482637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 3
 
5.9%
강원 3
 
5.9%
경남 3
 
5.9%
경북 3
 
5.9%
전남 3
 
5.9%
전북 3
 
5.9%
충남 3
 
5.9%
충북 3
 
5.9%
경기 3
 
5.9%
부산 3
 
5.9%
Other values (7) 21
41.2%

학년
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
1학년
17 
2학년
17 
3학년
17 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1학년
2nd row1학년
3rd row1학년
4th row1학년
5th row1학년

Common Values

ValueCountFrequency (%)
1학년 17
33.3%
2학년 17
33.3%
3학년 17
33.3%

Length

2023-12-12T04:42:25.635813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:42:25.761728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1학년 17
33.3%
2학년 17
33.3%
3학년 17
33.3%

참여율(%)
Real number (ℝ)

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.180392
Minimum41
Maximum70.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T04:42:25.911587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile42.9
Q154.1
median58.6
Q363.85
95-th percentile69.3
Maximum70.2
Range29.2
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation7.7991287
Coefficient of variation (CV)0.13405081
Kurtosis-0.41586488
Mean58.180392
Median Absolute Deviation (MAD)5.2
Skewness-0.48655498
Sum2967.2
Variance60.826408
MonotonicityNot monotonic
2023-12-12T04:42:26.085570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
65.6 2
 
3.9%
63.2 2
 
3.9%
53.4 2
 
3.9%
58.6 2
 
3.9%
68.2 1
 
2.0%
59.0 1
 
2.0%
58.0 1
 
2.0%
60.3 1
 
2.0%
58.7 1
 
2.0%
69.1 1
 
2.0%
Other values (37) 37
72.5%
ValueCountFrequency (%)
41.0 1
2.0%
41.3 1
2.0%
42.3 1
2.0%
43.5 1
2.0%
46.1 1
2.0%
47.2 1
2.0%
49.1 1
2.0%
49.4 1
2.0%
50.0 1
2.0%
50.6 1
2.0%
ValueCountFrequency (%)
70.2 1
2.0%
69.9 1
2.0%
69.5 1
2.0%
69.1 1
2.0%
68.2 1
2.0%
67.7 1
2.0%
67.1 1
2.0%
66.8 1
2.0%
66.0 1
2.0%
65.6 2
3.9%

Interactions

2023-12-12T04:42:24.883294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:42:26.190213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도학년참여율(%)
시도1.0000.0000.496
학년0.0001.0000.568
참여율(%)0.4960.5681.000
2023-12-12T04:42:26.294640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학년시도
학년1.0000.000
시도0.0001.000
2023-12-12T04:42:26.390551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여율(%)시도학년
참여율(%)1.0000.1800.372
시도0.1801.0000.000
학년0.3720.0001.000

Missing values

2023-12-12T04:42:25.037765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:42:25.141412image/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

기준 연도시도학년참여율(%)
02019서울1학년68.2
12019부산1학년70.2
22019대구1학년65.6
32019인천1학년66.0
42019광주1학년67.1
52019대전1학년65.6
62019울산1학년67.7
72019세종1학년69.9
82019경기1학년66.8
92019강원1학년53.4
기준 연도시도학년참여율(%)
412019세종3학년54.9
422019경기3학년63.2
432019강원3학년41.0
442019충북3학년41.3
452019충남3학년43.5
462019전북3학년49.1
472019전남3학년42.3
482019경북3학년46.1
492019경남3학년47.2
502019제주3학년50.6