Overview

Dataset statistics

Number of variables4
Number of observations1369
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.2 KiB
Average record size in memory33.1 B

Variable types

Categorical1
Text2
Numeric1

Dataset

Description학점은행제 학점인정 학점원인 자격 학점의 이력에 대한 데이터로 분야명, 자격증명, 직무번호, 중분류 등의 항목을 제공합니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15089511/fileData.do

Reproduction

Analysis started2023-12-12 15:48:00.414565
Analysis finished2023-12-12 15:48:01.266481
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야명
Categorical

Distinct20
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
이미용/관광/스포츠
425 
기계
129 
공통/기초사무
110 
경영/회계/사무
101 
환경/안전관리
80 
Other values (15)
524 

Length

Max length11
Median length10
Mean length6.9525201
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경영/회계/사무
2nd row경영/회계/사무
3rd row경영/회계/사무
4th row경영/회계/사무
5th row경영/회계/사무

Common Values

ValueCountFrequency (%)
이미용/관광/스포츠 425
31.0%
기계 129
 
9.4%
공통/기초사무 110
 
8.0%
경영/회계/사무 101
 
7.4%
환경/안전관리 80
 
5.8%
농림/해양·수산/광업 65
 
4.7%
정보/통신 64
 
4.7%
건설 63
 
4.6%
문화/예술 43
 
3.1%
전기/전자 41
 
3.0%
Other values (10) 248
18.1%

Length

2023-12-13T00:48:01.722440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이미용/관광/스포츠 425
31.0%
기계 129
 
9.4%
공통/기초사무 110
 
8.0%
경영/회계/사무 101
 
7.4%
환경/안전관리 80
 
5.8%
농림/해양·수산/광업 65
 
4.7%
정보/통신 64
 
4.7%
건설 63
 
4.6%
문화/예술 43
 
3.1%
전기/전자 41
 
3.0%
Other values (10) 248
18.1%

자격증명
Text

Distinct1368
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-13T00:48:02.024660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length11.073776
Min length3

Characters and Unicode

Total characters15160
Distinct characters430
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1367 ?
Unique (%)99.9%

Sample

1st row공정관리기사
2nd row공정관리산업기사
3rd row전산회계1급
4th row경제경영이해력인증시험 매경TEST 최우수
5th row경제경영이해력인증시험 매경TEST 우수
ValueCountFrequency (%)
1급 12
 
0.8%
2급 11
 
0.8%
mate 4
 
0.3%
경제이해력검증시험(tesat 4
 
0.3%
3급 4
 
0.3%
및 4
 
0.3%
실용영어(pelt 3
 
0.2%
실용수학 3
 
0.2%
철도차량산업기사 2
 
0.1%
한국영어검정[tesl 2
 
0.1%
Other values (1368) 1383
96.6%
2023-12-13T00:48:02.541821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1194
 
7.9%
기 711
 
4.7%
( 661
 
4.4%
) 659
 
4.3%
도 534
 
3.5%
스 508
 
3.4%
급 499
 
3.3%
지 476
 
3.1%
포 416
 
2.7%
츠 413
 
2.7%
Other values (420) 9089
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12498
82.4%
Decimal Number 701
 
4.6%
Open Punctuation 663
 
4.4%
Close Punctuation 661
 
4.4%
Uppercase Letter 381
 
2.5%
Lowercase Letter 123
 
0.8%
Space Separator 63
 
0.4%
Dash Punctuation 37
 
0.2%
Other Punctuation 23
 
0.2%
Math Symbol 4
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1194
 
9.6%
기 711
 
5.7%
도 534
 
4.3%
스 508
 
4.1%
급 499
 
4.0%
지 476
 
3.8%
포 416
 
3.3%
츠 413
 
3.3%
산 283
 
2.3%
전 269
 
2.2%
Other values (360) 7195
57.6%
Uppercase Letter
ValueCountFrequency (%)
E 55
14.4%
T 44
11.5%
L 37
9.7%
S 37
9.7%
F 31
8.1%
A 29
7.6%
P 28
7.3%
X 28
7.3%
C 19
 
5.0%
B 13
 
3.4%
Other values (10) 60
15.7%
Lowercase Letter
ValueCountFrequency (%)
e 17
13.8%
i 13
10.6%
t 13
10.6%
s 12
9.8%
a 12
9.8%
n 10
8.1%
r 8
 
6.5%
g 7
 
5.7%
o 6
 
4.9%
p 4
 
3.3%
Other values (9) 21
17.1%
Decimal Number
ValueCountFrequency (%)
2 272
38.8%
1 256
36.5%
0 75
 
10.7%
3 35
 
5.0%
6 30
 
4.3%
4 22
 
3.1%
8 5
 
0.7%
9 3
 
0.4%
5 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 661
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 659
99.7%
] 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
· 13
56.5%
/ 10
43.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12498
82.4%
Common 2156
 
14.2%
Latin 506
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1194
 
9.6%
기 711
 
5.7%
도 534
 
4.3%
스 508
 
4.1%
급 499
 
4.0%
지 476
 
3.8%
포 416
 
3.3%
츠 413
 
3.3%
산 283
 
2.3%
전 269
 
2.2%
Other values (360) 7195
57.6%
Latin
ValueCountFrequency (%)
E 55
 
10.9%
T 44
 
8.7%
L 37
 
7.3%
S 37
 
7.3%
F 31
 
6.1%
A 29
 
5.7%
P 28
 
5.5%
X 28
 
5.5%
C 19
 
3.8%
e 17
 
3.4%
Other values (31) 181
35.8%
Common
ValueCountFrequency (%)
( 661
30.7%
) 659
30.6%
2 272
12.6%
1 256
 
11.9%
0 75
 
3.5%
63
 
2.9%
- 37
 
1.7%
3 35
 
1.6%
6 30
 
1.4%
4 22
 
1.0%
Other values (9) 46
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12498
82.4%
ASCII 2647
 
17.5%
None 13
 
0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1194
 
9.6%
기 711
 
5.7%
도 534
 
4.3%
스 508
 
4.1%
급 499
 
4.0%
지 476
 
3.8%
포 416
 
3.3%
츠 413
 
3.3%
산 283
 
2.3%
전 269
 
2.2%
Other values (360) 7195
57.6%
ASCII
ValueCountFrequency (%)
( 661
25.0%
) 659
24.9%
2 272
10.3%
1 256
 
9.7%
0 75
 
2.8%
63
 
2.4%
E 55
 
2.1%
T 44
 
1.7%
- 37
 
1.4%
L 37
 
1.4%
Other values (47) 488
18.4%
None
ValueCountFrequency (%)
· 13
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

직무번호
Real number (ℝ)

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.972973
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2023-12-13T00:48:02.703725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum38
Range37
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3853843
Coefficient of variation (CV)1.2090304
Kurtosis92.416198
Mean1.972973
Median Absolute Deviation (MAD)0
Skewness7.9899959
Sum2701
Variance5.6900585
MonotonicityNot monotonic
2023-12-13T00:48:02.836295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 841
61.4%
2 246
 
18.0%
3 125
 
9.1%
4 57
 
4.2%
5 37
 
2.7%
6 23
 
1.7%
8 16
 
1.2%
7 14
 
1.0%
9 3
 
0.2%
28 3
 
0.2%
Other values (4) 4
 
0.3%
ValueCountFrequency (%)
1 841
61.4%
2 246
 
18.0%
3 125
 
9.1%
4 57
 
4.2%
5 37
 
2.7%
6 23
 
1.7%
7 14
 
1.0%
8 16
 
1.2%
9 3
 
0.2%
10 1
 
0.1%
ValueCountFrequency (%)
38 1
 
0.1%
32 1
 
0.1%
28 3
 
0.2%
25 1
 
0.1%
10 1
 
0.1%
9 3
 
0.2%
8 16
1.2%
7 14
 
1.0%
6 23
1.7%
5 37
2.7%

중분류
Text

Distinct108
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-13T00:48:03.180220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length4.4485026
Min length2

Characters and Unicode

Total characters6090
Distinct characters160
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row경영
2nd row경영
3rd row회계
4th row경영·경제
5th row경영·경제
ValueCountFrequency (%)
오락/체육 408
27.3%
및 55
 
3.7%
외국어 44
 
2.9%
경영 44
 
2.9%
한글/한자 38
 
2.5%
운송장비정비 33
 
2.2%
문화 32
 
2.1%
기초사무 23
 
1.5%
회계 22
 
1.5%
산업안전 22
 
1.5%
Other values (107) 773
51.7%
2023-12-13T00:48:03.760771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 448
 
7.4%
육 411
 
6.7%
체 410
 
6.7%
오 408
 
6.7%
락 408
 
6.7%
비 180
 
3.0%
· 174
 
2.9%
125
 
2.1%
공 117
 
1.9%
기 114
 
1.9%
Other values (150) 3295
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5343
87.7%
Other Punctuation 622
 
10.2%
Space Separator 125
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
육 411
 
7.7%
체 410
 
7.7%
오 408
 
7.6%
락 408
 
7.6%
비 180
 
3.4%
공 117
 
2.2%
기 114
 
2.1%
경 104
 
1.9%
장 95
 
1.8%
한 76
 
1.4%
Other values (147) 3020
56.5%
Other Punctuation
ValueCountFrequency (%)
/ 448
72.0%
· 174
 
28.0%
Space Separator
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5343
87.7%
Common 747
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
육 411
 
7.7%
체 410
 
7.7%
오 408
 
7.6%
락 408
 
7.6%
비 180
 
3.4%
공 117
 
2.2%
기 114
 
2.1%
경 104
 
1.9%
장 95
 
1.8%
한 76
 
1.4%
Other values (147) 3020
56.5%
Common
ValueCountFrequency (%)
/ 448
60.0%
· 174
 
23.3%
125
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5343
87.7%
ASCII 573
 
9.4%
None 174
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 448
78.2%
125
 
21.8%
Hangul
ValueCountFrequency (%)
육 411
 
7.7%
체 410
 
7.7%
오 408
 
7.6%
락 408
 
7.6%
비 180
 
3.4%
공 117
 
2.2%
기 114
 
2.1%
경 104
 
1.9%
장 95
 
1.8%
한 76
 
1.4%
Other values (147) 3020
56.5%
None
ValueCountFrequency (%)
· 174
100.0%

Interactions

2023-12-13T00:48:00.908788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:48:03.905979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야명직무번호
분야명1.0000.404
직무번호0.4041.000
2023-12-13T00:48:04.010940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
직무번호분야명
직무번호1.0000.186
분야명0.1861.000

Missing values

2023-12-13T00:48:01.093117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:48:01.212173image/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

분야명자격증명직무번호중분류
0경영/회계/사무공정관리기사1경영
1경영/회계/사무공정관리산업기사1경영
2경영/회계/사무전산회계1급1회계
3경영/회계/사무경제경영이해력인증시험 매경TEST 최우수1경영·경제
4경영/회계/사무경제경영이해력인증시험 매경TEST 우수1경영·경제
5경영/회계/사무경제이해력검증시험(TESAT) S급1경영·경제
6경영/회계/사무경제이해력검증시험(TESAT) 1급1경영·경제
7경영/회계/사무경제이해력검증시험(TESAT) 2급1경영·경제
8경영/회계/사무경제이해력검증시험(TESAT) 3급1경영·경제
9경영/회계/사무빌딩경영관리사1주택관리 및 경비
분야명자격증명직무번호중분류
1359공통/기초사무외국어능력시험(FLEX러시아어)2A3외국어
1360공통/기초사무외국어능력시험(FLEX영어)1A3외국어
1361공통/기초사무외국어능력시험(FLEX영어)1B3외국어
1362공통/기초사무외국어능력시험(FLEX영어)1C3외국어
1363공통/기초사무외국어능력시험(FLEX영어)2A3외국어
1364공통/기초사무워드프로세서1급(05년10월이전-직무03)3기초사무
1365공통/기초사무워드프로세서1급(03년9월이전-직무12학점)3기초사무
1366공통/기초사무인터넷정보관리사(전문가)3기초사무
1367공통/기초사무인터넷정보관리사1급3기초사무
1368공통/기초사무부기 1급4기초사무