Overview

Dataset statistics

Number of variables18
Number of observations81
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory152.6 B

Variable types

Numeric3
Categorical12
Text1
Boolean2

Dataset

Description중소벤처기업진흥공단의 스마트제조기업 일자리 패키지사업 기초직무교육 과정입니다.해당 데이터는 강의내용, 교육시간 등의 데이터를 제공합니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15113650/fileData.do

Alerts

교육유형 has constant value ""Constant
년도 has constant value ""Constant
과정시작일 has constant value ""Constant
과정종료일 has constant value ""Constant
수강신청시작일 has constant value ""Constant
수강신청종료일 has constant value ""Constant
교재여부 has constant value ""Constant
모바일지원여부 has constant value ""Constant
중분류 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
대분류 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
차시 is highly overall correlated with 이수시간High correlation
이수시간 is highly overall correlated with 소분류 and 2 other fieldsHigh correlation
순번 is highly overall correlated with NCS코드 and 3 other fieldsHigh correlation
차수 is highly overall correlated with 대분류 and 1 other fieldsHigh correlation
NCS코드 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
소분류 is highly overall correlated with 순번 and 5 other fieldsHigh correlation
정원 is highly overall correlated with 차수 and 3 other fieldsHigh correlation
NCS코드 has 3 (3.7%) missing valuesMissing
순번 has unique valuesUnique
과정명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:24:27.961853
Analysis finished2024-04-21 02:24:31.970904
Duration4.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-21T11:24:32.075259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2024-04-21T11:24:32.271866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

교육유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
인터넷원격교육
81 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷원격교육 81
100.0%

Length

2024-04-21T11:24:32.463640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:32.591626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷원격교육 81
100.0%

대분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
일반직무
42 
리더십
17 
경영일반
14 
전문직무
7 
정보화
 
1

Length

Max length4
Median length4
Mean length3.7777778
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반직무 42
51.9%
리더십 17
21.0%
경영일반 14
 
17.3%
전문직무 7
 
8.6%
정보화 1
 
1.2%

Length

2024-04-21T11:24:32.738328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:32.871777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반직무 42
51.9%
리더십 17
21.0%
경영일반 14
 
17.3%
전문직무 7
 
8.6%
정보화 1
 
1.2%

중분류
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
생산/품질
14 
마케팅/영업
12 
인사조직
9 
비즈니스 스킬
8 
성과창출
5 
Other values (11)
33 

Length

Max length7
Median length6
Mean length4.5802469
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row경제경영
2nd row경제경영
3rd row경제경영
4th row비즈니스 스킬
5th row비즈니스 스킬

Common Values

ValueCountFrequency (%)
생산/품질 14
17.3%
마케팅/영업 12
14.8%
인사조직 9
11.1%
비즈니스 스킬 8
9.9%
성과창출 5
 
6.2%
재무회계 5
 
6.2%
부하육성 4
 
4.9%
제조 4
 
4.9%
경제경영 3
 
3.7%
CS 3
 
3.7%
Other values (6) 14
17.3%

Length

2024-04-21T11:24:33.008775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
생산/품질 14
15.7%
마케팅/영업 12
13.5%
인사조직 9
10.1%
비즈니스 8
9.0%
스킬 8
9.0%
성과창출 5
 
5.6%
재무회계 5
 
5.6%
제조 4
 
4.5%
부하육성 4
 
4.5%
경제경영 3
 
3.4%
Other values (7) 17
19.1%

소분류
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
물류혁신
7 
마케팅
6 
영업
6 
HRD/HRM
 
5
제조일반
 
4
Other values (25)
53 

Length

Max length12
Median length4
Mean length3.9382716
Min length2

Unique

Unique8 ?
Unique (%)9.9%

Sample

1st row경영일반
2nd row윤리경영(법정필수교육)
3rd row변화혁신
4th row창의력
5th row창의력

Common Values

ValueCountFrequency (%)
물류혁신 7
 
8.6%
마케팅 6
 
7.4%
영업 6
 
7.4%
HRD/HRM 5
 
6.2%
제조일반 4
 
4.9%
인사총무 4
 
4.9%
동기부여 4
 
4.9%
품질경영 3
 
3.7%
무역일반 3
 
3.7%
고객응대 3
 
3.7%
Other values (20) 36
44.4%

Length

2024-04-21T11:24:33.141427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물류혁신 7
 
8.6%
영업 6
 
7.4%
마케팅 6
 
7.4%
hrd/hrm 5
 
6.2%
제조일반 4
 
4.9%
인사총무 4
 
4.9%
동기부여 4
 
4.9%
성과관리 3
 
3.7%
자기계발 3
 
3.7%
구매자재 3
 
3.7%
Other values (20) 36
44.4%

과정명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-21T11:24:33.378893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length22.308642
Min length12

Characters and Unicode

Total characters1807
Distinct characters291
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row[전략전문가양성코스] 프리미엄 전략경영
2nd rowValue-up을 위한 핵심가치와 윤리경영
3rd row[핵심리더양성코스] 미래창조 리더십
4th row관찰의 힘! 사용자 경험 기반의 창의력
5th row퍼펙트스톰 거대한 변화의 파도를 올라타라
ValueCountFrequency (%)
리더십 11
 
3.0%
위한 10
 
2.8%
핵심리더양성코스 9
 
2.5%
및 6
 
1.7%
핵심 5
 
1.4%
노하우 5
 
1.4%
전략적 5
 
1.4%
만드는 4
 
1.1%
기술 3
 
0.8%
인재를 3
 
0.8%
Other values (257) 302
83.2%
2024-04-21T11:24:33.766912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
 
15.6%
리 55
 
3.0%
스 40
 
2.2%
성 39
 
2.2%
전 33
 
1.8%
관 31
 
1.7%
양 28
 
1.5%
[ 26
 
1.4%
과 26
 
1.4%
한 26
 
1.4%
Other values (281) 1221
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1312
72.6%
Space Separator 282
 
15.6%
Uppercase Letter 61
 
3.4%
Lowercase Letter 52
 
2.9%
Open Punctuation 32
 
1.8%
Close Punctuation 32
 
1.8%
Other Punctuation 27
 
1.5%
Decimal Number 7
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 55
 
4.2%
스 40
 
3.0%
성 39
 
3.0%
전 33
 
2.5%
관 31
 
2.4%
양 28
 
2.1%
과 26
 
2.0%
한 26
 
2.0%
가 26
 
2.0%
코 26
 
2.0%
Other values (231) 982
74.8%
Uppercase Letter
ValueCountFrequency (%)
R 8
13.1%
P 8
13.1%
S 7
11.5%
D 5
8.2%
W 4
 
6.6%
K 4
 
6.6%
M 4
 
6.6%
H 4
 
6.6%
T 3
 
4.9%
O 2
 
3.3%
Other values (8) 12
19.7%
Lowercase Letter
ValueCountFrequency (%)
a 7
13.5%
e 6
11.5%
r 5
9.6%
i 4
 
7.7%
k 4
 
7.7%
y 3
 
5.8%
o 3
 
5.8%
m 3
 
5.8%
t 3
 
5.8%
s 3
 
5.8%
Other values (7) 11
21.2%
Other Punctuation
ValueCountFrequency (%)
! 17
63.0%
& 4
 
14.8%
/ 3
 
11.1%
: 2
 
7.4%
% 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
4 3
42.9%
7 2
28.6%
5 1
 
14.3%
2 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
[ 26
81.2%
( 6
 
18.8%
Close Punctuation
ValueCountFrequency (%)
] 26
81.2%
) 6
 
18.8%
Space Separator
ValueCountFrequency (%)
282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1312
72.6%
Common 382
 
21.1%
Latin 113
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 55
 
4.2%
스 40
 
3.0%
성 39
 
3.0%
전 33
 
2.5%
관 31
 
2.4%
양 28
 
2.1%
과 26
 
2.0%
한 26
 
2.0%
가 26
 
2.0%
코 26
 
2.0%
Other values (231) 982
74.8%
Latin
ValueCountFrequency (%)
R 8
 
7.1%
P 8
 
7.1%
a 7
 
6.2%
S 7
 
6.2%
e 6
 
5.3%
r 5
 
4.4%
D 5
 
4.4%
i 4
 
3.5%
W 4
 
3.5%
K 4
 
3.5%
Other values (25) 55
48.7%
Common
ValueCountFrequency (%)
282
73.8%
[ 26
 
6.8%
] 26
 
6.8%
! 17
 
4.5%
( 6
 
1.6%
) 6
 
1.6%
& 4
 
1.0%
/ 3
 
0.8%
4 3
 
0.8%
: 2
 
0.5%
Other values (5) 7
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1312
72.6%
ASCII 495
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
57.0%
[ 26
 
5.3%
] 26
 
5.3%
! 17
 
3.4%
R 8
 
1.6%
P 8
 
1.6%
a 7
 
1.4%
S 7
 
1.4%
( 6
 
1.2%
) 6
 
1.2%
Other values (40) 102
 
20.6%
Hangul
ValueCountFrequency (%)
리 55
 
4.2%
스 40
 
3.0%
성 39
 
3.0%
전 33
 
2.5%
관 31
 
2.4%
양 28
 
2.1%
과 26
 
2.0%
한 26
 
2.0%
가 26
 
2.0%
코 26
 
2.0%
Other values (231) 982
74.8%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023
81 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 81
100.0%

Length

2024-04-21T11:24:33.885123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:33.982279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 81
100.0%

차수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.407407
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-21T11:24:34.081130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q336
95-th percentile50
Maximum51
Range50
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.446747
Coefficient of variation (CV)1.24619
Kurtosis-1.3144684
Mean16.407407
Median Absolute Deviation (MAD)0
Skewness0.71798939
Sum1329
Variance418.06944
MonotonicityNot monotonic
2024-04-21T11:24:34.210406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 49
60.5%
50 6
 
7.4%
36 3
 
3.7%
51 3
 
3.7%
48 3
 
3.7%
35 2
 
2.5%
49 2
 
2.5%
31 1
 
1.2%
20 1
 
1.2%
13 1
 
1.2%
Other values (10) 10
 
12.3%
ValueCountFrequency (%)
1 49
60.5%
11 1
 
1.2%
13 1
 
1.2%
20 1
 
1.2%
26 1
 
1.2%
27 1
 
1.2%
31 1
 
1.2%
33 1
 
1.2%
34 1
 
1.2%
35 2
 
2.5%
ValueCountFrequency (%)
51 3
3.7%
50 6
7.4%
49 2
 
2.5%
48 3
3.7%
46 1
 
1.2%
45 1
 
1.2%
44 1
 
1.2%
40 1
 
1.2%
37 1
 
1.2%
36 3
3.7%

과정시작일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-01-01
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023-01-01 81
100.0%

Length

2024-04-21T11:24:34.328905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:34.420149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 81
100.0%

과정종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-31
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 81
100.0%

Length

2024-04-21T11:24:34.531944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:34.625102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 81
100.0%

수강신청시작일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-01-01
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023-01-01 81
100.0%

Length

2024-04-21T11:24:34.721784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:34.809490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 81
100.0%

수강신청종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-31
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 81
100.0%

Length

2024-04-21T11:24:34.902031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:35.004359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 81
100.0%

차시
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
8
52 
16
28 
24
 
1

Length

Max length2
Median length1
Mean length1.3580247
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row24
2nd row8
3rd row16
4th row8
5th row8

Common Values

ValueCountFrequency (%)
8 52
64.2%
16 28
34.6%
24 1
 
1.2%

Length

2024-04-21T11:24:35.123322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:35.484617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8 52
64.2%
16 28
34.6%
24 1
 
1.2%

이수시간
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
9
49 
17
27 
8
 
3
25
 
1
16
 
1

Length

Max length2
Median length1
Mean length1.3580247
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row25
2nd row9
3rd row16
4th row9
5th row9

Common Values

ValueCountFrequency (%)
9 49
60.5%
17 27
33.3%
8 3
 
3.7%
25 1
 
1.2%
16 1
 
1.2%

Length

2024-04-21T11:24:35.588021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:35.696391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 49
60.5%
17 27
33.3%
8 3
 
3.7%
25 1
 
1.2%
16 1
 
1.2%

교재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size213.0 B
False
81 
ValueCountFrequency (%)
False 81
100.0%
2024-04-21T11:24:35.786884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모바일지원여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size213.0 B
True
81 
ValueCountFrequency (%)
True 81
100.0%
2024-04-21T11:24:35.873047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

NCS코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)29.5%
Missing3
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean3264526.9
Minimum1010102
Maximum20010101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-21T11:24:35.966438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1010102
5-th percentile2010101
Q12010101
median2020201
Q32040201
95-th percentile10030201
Maximum20010101
Range18999999
Interquartile range (IQR)30100

Descriptive statistics

Standard deviation3747289.9
Coefficient of variation (CV)1.1478815
Kurtosis10.3351
Mean3264526.9
Median Absolute Deviation (MAD)10100
Skewness3.2224142
Sum2.546331 × 108
Variance1.4042182 × 1013
MonotonicityNot monotonic
2024-04-21T11:24:36.078967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2010101 24
29.6%
2020201 8
 
9.9%
2010301 6
 
7.4%
2040301 5
 
6.2%
2040101 4
 
4.9%
2040302 3
 
3.7%
2040201 3
 
3.7%
10010101 3
 
3.7%
2020202 3
 
3.7%
2030201 2
 
2.5%
Other values (13) 17
21.0%
(Missing) 3
 
3.7%
ValueCountFrequency (%)
1010102 1
 
1.2%
2010101 24
29.6%
2010301 6
 
7.4%
2020101 1
 
1.2%
2020102 2
 
2.5%
2020201 8
 
9.9%
2020202 3
 
3.7%
2030101 1
 
1.2%
2030102 1
 
1.2%
2030201 2
 
2.5%
ValueCountFrequency (%)
20010101 2
 
2.5%
15010201 1
 
1.2%
10030201 2
 
2.5%
10030101 1
 
1.2%
10010101 3
3.7%
3010502 1
 
1.2%
2040302 3
3.7%
2040301 5
6.2%
2040201 3
3.7%
2040103 2
 
2.5%

정원
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
200
45 
500
33 
0
 
3

Length

Max length3
Median length3
Mean length2.9259259
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row200
2nd row200
3rd row500
4th row200
5th row200

Common Values

ValueCountFrequency (%)
200 45
55.6%
500 33
40.7%
0 3
 
3.7%

Length

2024-04-21T11:24:36.195504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:24:36.290872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 45
55.6%
500 33
40.7%
0 3
 
3.7%

Interactions

2024-04-21T11:24:30.961133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:30.273100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:30.662151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:31.081826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:30.456366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:30.775200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:31.290400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:30.552872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:24:30.865805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:24:36.359360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대분류중분류소분류과정명차수차시이수시간NCS코드정원
순번1.0000.9780.9420.9981.0000.3070.0000.5180.6210.633
대분류0.9781.0001.0001.0001.0000.7410.0000.6720.0000.516
중분류0.9421.0001.0001.0001.0000.8590.1750.7210.8620.800
소분류0.9981.0001.0001.0001.0000.8420.8540.9600.9280.881
과정명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
차수0.3070.7410.8590.8421.0001.0000.0000.5800.0000.776
차시0.0000.0000.1750.8541.0000.0001.0001.0000.0000.201
이수시간0.5180.6720.7210.9601.0000.5801.0001.0000.0000.718
NCS코드0.6210.0000.8620.9281.0000.0000.0000.0001.0000.000
정원0.6330.5160.8000.8811.0000.7760.2010.7180.0001.000
2024-04-21T11:24:36.474134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원소분류중분류대분류차시이수시간
정원1.0000.5260.5790.4470.0600.697
소분류0.5261.0000.8860.8190.4930.624
중분류0.5790.8861.0000.9250.0720.434
대분류0.4470.8190.9251.0000.0000.308
차시0.0600.4930.0720.0001.0000.987
이수시간0.6970.6240.4340.3080.9871.000
2024-04-21T11:24:36.576551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번차수NCS코드대분류중분류소분류차시이수시간정원
순번1.000-0.2010.5510.7580.7330.7610.0000.2150.452
차수-0.2011.000-0.2040.5440.3700.2980.0000.3670.653
NCS코드0.551-0.2041.0000.0000.5000.6060.0000.0000.000
대분류0.7580.5440.0001.0000.9250.8190.0000.3080.447
중분류0.7330.3700.5000.9251.0000.8860.0720.4340.579
소분류0.7610.2980.6060.8190.8861.0000.4930.6240.526
차시0.0000.0000.0000.0000.0720.4931.0000.9870.060
이수시간0.2150.3670.0000.3080.4340.6240.9871.0000.697
정원0.4520.6530.0000.4470.5790.5260.0600.6971.000

Missing values

2024-04-21T11:24:31.560496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:24:31.851174image/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

순번교육유형대분류중분류소분류과정명년도차수과정시작일과정종료일수강신청시작일수강신청종료일차시이수시간교재여부모바일지원여부NCS코드정원
01인터넷원격교육경영일반경제경영경영일반[전략전문가양성코스] 프리미엄 전략경영2023502023-01-012023-12-312023-01-012023-12-312425NY2010101200
12인터넷원격교육경영일반경제경영윤리경영(법정필수교육)Value-up을 위한 핵심가치와 윤리경영2023402023-01-012023-12-312023-01-012023-12-3189NY2010101200
23인터넷원격교육경영일반경제경영변화혁신[핵심리더양성코스] 미래창조 리더십202312023-01-012023-12-312023-01-012023-12-311616NY2010101500
34인터넷원격교육경영일반비즈니스 스킬창의력관찰의 힘! 사용자 경험 기반의 창의력202312023-01-012023-12-312023-01-012023-12-3189NY2010101200
45인터넷원격교육경영일반비즈니스 스킬창의력퍼펙트스톰 거대한 변화의 파도를 올라타라2023482023-01-012023-12-312023-01-012023-12-3189NY2010101200
56인터넷원격교육경영일반비즈니스 스킬문제해결Smart Decision Making! 지혜로운 의사결정의 원칙과 기법2023462023-01-012023-12-312023-01-012023-12-3189NY2010101200
67인터넷원격교육경영일반비즈니스 스킬커뮤니케이션[핵심리더양성코스] 변화주도 리더십202312023-01-012023-12-312023-01-012023-12-311617NY2010101200
78인터넷원격교육경영일반비즈니스 스킬커뮤니케이션단순하지만 강력한 회의 퍼실리테이션 스킬202312023-01-012023-12-312023-01-012023-12-3189NY2010101200
89인터넷원격교육경영일반비즈니스 스킬프리젠테이션2%의 차이를 만드는 위닝 프레젠테이션202312023-01-012023-12-312023-01-012023-12-3189NY2010101200
910인터넷원격교육경영일반비즈니스 스킬협상[핵심리더양성코스] 협상제안 리더십202312023-01-012023-12-312023-01-012023-12-311617NY2010101500
순번교육유형대분류중분류소분류과정명년도차수과정시작일과정종료일수강신청시작일수강신청종료일차시이수시간교재여부모바일지원여부NCS코드정원
7172인터넷원격교육일반직무R&D연구개발[R&D전문가양성코스] R&D기획과 실행관리202312023-01-012023-12-312023-01-012023-12-311617NY20010101500
7273인터넷원격교육일반직무R&D연구개발R&D경영을 위한 기술로드맵과 특허정보분석202312023-01-012023-12-312023-01-012023-12-3189NY20010101200
7374인터넷원격교육전문직무유통/무역무역일반[무역전문가양성코스] 무역계약과 수출입통관202312023-01-012023-12-312023-01-012023-12-311617NY2040302500
7475인터넷원격교육전문직무유통/무역무역일반무역계약과 무역서식 활용실무2023372023-01-012023-12-312023-01-012023-12-3189NY2040302200
7576인터넷원격교육전문직무유통/무역무역일반수출입 통관절차와 관세의 부과/징수202312023-01-012023-12-312023-01-012023-12-3189NY2040302500
7677인터넷원격교육전문직무제조제조일반[생산전문가양성코스] 제조현장관리와 공정분석202312023-01-012023-12-312023-01-012023-12-311617NY2040103200
7778인터넷원격교육전문직무제조제조일반생산성향상! 현장개선 5S 실천2023272023-01-012023-12-312023-01-012023-12-3188NY<NA>0
7879인터넷원격교육전문직무제조제조일반스마트공장 도입 및 추진 실무2023112023-01-012023-12-312023-01-012023-12-3188NY<NA>0
7980인터넷원격교육전문직무제조제조일반한눈에 보는 공급망 관리(SCM)2023132023-01-012023-12-312023-01-012023-12-3188NY<NA>0
8081인터넷원격교육정보화PMPM일반이론과 실전의 PM 전문가! 프로젝트 관리 한판승2023202023-01-012023-12-312023-01-012023-12-311617NY1010102200