Overview

Dataset statistics

Number of variables10
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory83.5 B

Variable types

Numeric1
Categorical8
Text1

Dataset

Description본 데이터는 한국환경산업기술원 사이버환경실무교육시스템(konetic.ecoedu.go.kr)에서 2023년도 기준으로 제공하는 연간 교육 일정 데이터(과목분류,과목명,수강신청시작일,수강신청종료일,수강시작일, 수강종료일 등)입니다.
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/15089159/fileData.do

Alerts

수강신청종료일 has constant value ""Constant
수강종료일 has constant value ""Constant
학습평가종료일 has constant value ""Constant
과정운영 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
수강신청시작일 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
학습평가시작일 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
수강시작일 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 과정운영 and 3 other fieldsHigh correlation
연번 has unique valuesUnique
과목명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:51:25.260343
Analysis finished2023-12-12 06:51:25.953900
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T15:51:26.035240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-12T15:51:26.491801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

과정운영
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
정규과정
31 
맞춤과정
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정규과정 31
59.6%
맞춤과정 21
40.4%

Length

2023-12-12T15:51:26.659607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:26.750032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규과정 31
59.6%
맞춤과정 21
40.4%

과목분류
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
초급
26 
중급
22 
고급
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초급
2nd row초급
3rd row초급
4th row중급
5th row중급

Common Values

ValueCountFrequency (%)
초급 26
50.0%
중급 22
42.3%
고급 4
 
7.7%

Length

2023-12-12T15:51:26.854568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:26.956651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초급 26
50.0%
중급 22
42.3%
고급 4
 
7.7%

과목명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:51:27.183571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length10.442308
Min length4

Characters and Unicode

Total characters543
Distinct characters144
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row유해화학물질관리
2nd row수처리기술Ⅰ
3rd row환경기초시설운영실무
4th row환경안전업무실무
5th row폐수처리기술
ValueCountFrequency (%)
및 10
 
10.1%
실무 3
 
3.0%
대기환경관리계획 2
 
2.0%
환경측정 2
 
2.0%
환경조사분석의 2
 
2.0%
온실가스실무자 2
 
2.0%
중소환경기업 2
 
2.0%
이해 2
 
2.0%
환경기술개발(r&d)사업 1
 
1.0%
온라인 1
 
1.0%
Other values (72) 72
72.7%
2023-12-12T15:51:27.593794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
8.7%
경 25
 
4.6%
환 24
 
4.4%
기 21
 
3.9%
리 19
 
3.5%
실 19
 
3.5%
무 15
 
2.8%
정 12
 
2.2%
설 12
 
2.2%
술 10
 
1.8%
Other values (134) 339
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
88.6%
Space Separator 47
 
8.7%
Letter Number 8
 
1.5%
Other Punctuation 3
 
0.6%
Uppercase Letter 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 25
 
5.2%
환 24
 
5.0%
기 21
 
4.4%
리 19
 
4.0%
실 19
 
4.0%
무 15
 
3.1%
정 12
 
2.5%
설 12
 
2.5%
술 10
 
2.1%
및 10
 
2.1%
Other values (124) 314
65.3%
Other Punctuation
ValueCountFrequency (%)
· 1
33.3%
& 1
33.3%
, 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
50.0%
Ⅱ 4
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
88.0%
Common 52
 
9.6%
Latin 10
 
1.8%
Han 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 25
 
5.2%
환 24
 
5.0%
기 21
 
4.4%
리 19
 
4.0%
실 19
 
4.0%
무 15
 
3.1%
정 12
 
2.5%
설 12
 
2.5%
술 10
 
2.1%
및 10
 
2.1%
Other values (123) 311
65.1%
Common
ValueCountFrequency (%)
47
90.4%
· 1
 
1.9%
) 1
 
1.9%
& 1
 
1.9%
( 1
 
1.9%
, 1
 
1.9%
Latin
ValueCountFrequency (%)
Ⅰ 4
40.0%
Ⅱ 4
40.0%
D 1
 
10.0%
R 1
 
10.0%
Han
ValueCountFrequency (%)
新 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
88.0%
ASCII 53
 
9.8%
Number Forms 8
 
1.5%
CJK 3
 
0.6%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
88.7%
) 1
 
1.9%
D 1
 
1.9%
& 1
 
1.9%
R 1
 
1.9%
( 1
 
1.9%
, 1
 
1.9%
Hangul
ValueCountFrequency (%)
경 25
 
5.2%
환 24
 
5.0%
기 21
 
4.4%
리 19
 
4.0%
실 19
 
4.0%
무 15
 
3.1%
정 12
 
2.5%
설 12
 
2.5%
술 10
 
2.1%
및 10
 
2.1%
Other values (123) 311
65.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
50.0%
Ⅱ 4
50.0%
CJK
ValueCountFrequency (%)
新 3
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

수강신청시작일
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-03-01
31 
2023-11-01
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-01
2nd row2023-03-01
3rd row2023-03-01
4th row2023-03-01
5th row2023-03-01

Common Values

ValueCountFrequency (%)
2023-03-01 31
59.6%
2023-11-01 21
40.4%

Length

2023-12-12T15:51:27.738978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:27.861361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-01 31
59.6%
2023-11-01 21
40.4%

수강신청종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-11-30
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 52
100.0%

Length

2023-12-12T15:51:27.971476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:28.081817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 52
100.0%

수강시작일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-03-01
29 
2023-11-01
21 
2023-03-02
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-01
2nd row2023-03-01
3rd row2023-03-01
4th row2023-03-01
5th row2023-03-01

Common Values

ValueCountFrequency (%)
2023-03-01 29
55.8%
2023-11-01 21
40.4%
2023-03-02 2
 
3.8%

Length

2023-12-12T15:51:28.192438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:28.311768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-01 29
55.8%
2023-11-01 21
40.4%
2023-03-02 2
 
3.8%

수강종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-11-30
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 52
100.0%

Length

2023-12-12T15:51:28.432587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:28.528855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 52
100.0%

학습평가시작일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-03-01
29 
2023-11-01
21 
2023-03-02
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-01
2nd row2023-03-01
3rd row2023-03-01
4th row2023-03-01
5th row2023-03-01

Common Values

ValueCountFrequency (%)
2023-03-01 29
55.8%
2023-11-01 21
40.4%
2023-03-02 2
 
3.8%

Length

2023-12-12T15:51:28.625473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:28.745262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-01 29
55.8%
2023-11-01 21
40.4%
2023-03-02 2
 
3.8%

학습평가종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-11-30
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 52
100.0%

Length

2023-12-12T15:51:28.860116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:51:28.976179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 52
100.0%

Interactions

2023-12-12T15:51:25.628376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:51:29.040894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번과정운영과목분류과목명수강신청시작일수강시작일학습평가시작일
연번1.0001.0000.1901.0001.0000.8030.803
과정운영1.0001.0000.1431.0000.9981.0001.000
과목분류0.1900.1431.0001.0000.1430.2960.296
과목명1.0001.0001.0001.0001.0001.0001.000
수강신청시작일1.0000.9980.1431.0001.0001.0001.000
수강시작일0.8031.0000.2961.0001.0001.0001.000
학습평가시작일0.8031.0000.2961.0001.0001.0001.000
2023-12-12T15:51:29.162812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과정운영수강신청시작일과목분류학습평가시작일수강시작일
과정운영1.0000.9590.2320.9900.990
수강신청시작일0.9591.0000.2320.9900.990
과목분류0.2320.2321.0000.0950.095
학습평가시작일0.9900.9900.0951.0001.000
수강시작일0.9900.9900.0951.0001.000
2023-12-12T15:51:29.292081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번과정운영과목분류수강신청시작일수강시작일학습평가시작일
연번1.0000.9170.0890.9170.6420.642
과정운영0.9171.0000.2320.9590.9900.990
과목분류0.0890.2321.0000.2320.0950.095
수강신청시작일0.9170.9590.2321.0000.9900.990
수강시작일0.6420.9900.0950.9901.0001.000
학습평가시작일0.6420.9900.0950.9901.0001.000

Missing values

2023-12-12T15:51:25.750021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:51:25.901337image/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

연번과정운영과목분류과목명수강신청시작일수강신청종료일수강시작일수강종료일학습평가시작일학습평가종료일
01정규과정초급유해화학물질관리2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
12정규과정초급수처리기술Ⅰ2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
23정규과정초급환경기초시설운영실무2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
34정규과정중급환경안전업무실무2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
45정규과정중급폐수처리기술2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
56정규과정초급배출업소 지도점검 및 인허가실무2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
67정규과정초급수질공정관리기초2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
78정규과정초급가축분뇨처리시설운영실무2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
89정규과정초급기후변화대응2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
910정규과정중급하수처리기술2023-03-012023-11-302023-03-012023-11-302023-03-012023-11-30
연번과정운영과목분류과목명수강신청시작일수강신청종료일수강시작일수강종료일학습평가시작일학습평가종료일
4243맞춤과정중급석면건축물안전관리실무2023-11-012023-11-302023-11-012023-11-302023-11-012023-11-30
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