Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells21
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory37.1 B

Variable types

Numeric2
Categorical2

Dataset

Description제주특별자치도 대학원 학교 수 정보 데이터로, 2014~2020년까지 연도 및 학교 구분별 제주특별자치도 내 대학원 학교 수 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15096887/fileData.do

Alerts

시도 has constant value ""Constant
학교 수 is highly overall correlated with 학교 구분High correlation
학교 구분 is highly overall correlated with 학교 수High correlation
학교 수 has 21 (50.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:35:30.342861
Analysis finished2023-12-12 16:35:30.870388
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017
Minimum2014
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T01:35:30.927781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12015
median2017
Q32019
95-th percentile2020
Maximum2020
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0242433
Coefficient of variation (CV)0.0010035911
Kurtosis-1.2549679
Mean2017
Median Absolute Deviation (MAD)2
Skewness0
Sum84714
Variance4.097561
MonotonicityIncreasing
2023-12-13T01:35:31.025904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2014 6
14.3%
2015 6
14.3%
2016 6
14.3%
2017 6
14.3%
2018 6
14.3%
2019 6
14.3%
2020 6
14.3%
ValueCountFrequency (%)
2014 6
14.3%
2015 6
14.3%
2016 6
14.3%
2017 6
14.3%
2018 6
14.3%
2019 6
14.3%
2020 6
14.3%
ValueCountFrequency (%)
2020 6
14.3%
2019 6
14.3%
2018 6
14.3%
2017 6
14.3%
2016 6
14.3%
2015 6
14.3%
2014 6
14.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
제주
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주 42
100.0%

Length

2023-12-13T01:35:31.138421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:35:31.232719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 42
100.0%

학교 구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size468.0 B
주간
7 
야간
7 
주야간
7 
남자
7 
여자
7 

Length

Max length3
Median length2
Mean length2.1666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주간
2nd row야간
3rd row주야간
4th row남자
5th row여자

Common Values

ValueCountFrequency (%)
주간 7
16.7%
야간 7
16.7%
주야간 7
16.7%
남자 7
16.7%
여자 7
16.7%
공학 7
16.7%

Length

2023-12-13T01:35:31.321702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:35:31.436902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 7
16.7%
야간 7
16.7%
주야간 7
16.7%
남자 7
16.7%
여자 7
16.7%
공학 7
16.7%

학교 수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)38.1%
Missing21
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean9.3333333
Minimum4
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T01:35:31.532113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median9
Q314
95-th percentile15
Maximum15
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation3.953901
Coefficient of variation (CV)0.42363225
Kurtosis-1.4650851
Mean9.3333333
Median Absolute Deviation (MAD)4
Skewness0.069337987
Sum196
Variance15.633333
MonotonicityNot monotonic
2023-12-13T01:35:31.643014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 5
 
11.9%
14 4
 
9.5%
10 3
 
7.1%
9 3
 
7.1%
4 2
 
4.8%
15 2
 
4.8%
8 1
 
2.4%
12 1
 
2.4%
(Missing) 21
50.0%
ValueCountFrequency (%)
4 2
 
4.8%
5 5
11.9%
8 1
 
2.4%
9 3
7.1%
10 3
7.1%
12 1
 
2.4%
14 4
9.5%
15 2
 
4.8%
ValueCountFrequency (%)
15 2
 
4.8%
14 4
9.5%
12 1
 
2.4%
10 3
7.1%
9 3
7.1%
8 1
 
2.4%
5 5
11.9%
4 2
 
4.8%

Interactions

2023-12-13T01:35:30.601772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:35:30.438333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:35:30.679845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:35:30.523000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:35:31.710637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도학교 구분학교 수
연도1.0000.0000.000
학교 구분0.0001.0001.000
학교 수0.0001.0001.000
2023-12-13T01:35:31.785496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도학교 수학교 구분
연도1.0000.1410.000
학교 수0.1411.0000.913
학교 구분0.0000.9131.000

Missing values

2023-12-13T01:35:30.772708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:35:30.842828image/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

연도시도학교 구분학교 수
02014제주주간4
12014제주야간10
22014제주주야간<NA>
32014제주남자<NA>
42014제주여자<NA>
52014제주공학14
62015제주주간4
72015제주야간8
82015제주주야간<NA>
92015제주남자<NA>
연도시도학교 구분학교 수
322019제주주야간<NA>
332019제주남자<NA>
342019제주여자<NA>
352019제주공학15
362020제주주간5
372020제주야간9
382020제주주야간<NA>
392020제주남자<NA>
402020제주여자<NA>
412020제주공학14