Overview

Dataset statistics

Number of variables23
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory207.0 B

Variable types

Numeric16
Categorical7

Dataset

Description한국방송통신전파진흥원에서 시행하는 국가기술자격검정 시험 응시자의 연도별 적합 부적합 통계 입니다.(2015~2019년) 컬럼 : 자격코드(내부시스템이 부여한 코드), 설명(응시자격), 성별, 2015년 ~ 2019년 합계(접합/부적합 여부)
URLhttps://www.data.go.kr/data/15042263/fileData.do

Alerts

2015년부적합 is highly imbalanced (73.3%)Imbalance
2016년부적합 is highly imbalanced (88.7%)Imbalance
2017년부적합 is highly imbalanced (71.4%)Imbalance
2018년부적합 is highly imbalanced (72.3%)Imbalance
2019년부적합 is highly imbalanced (75.4%)Imbalance
2015년적합 has 19 (28.8%) zerosZeros
2015년미제출 has 15 (22.7%) zerosZeros
2015년합계 has 8 (12.1%) zerosZeros
2016년적합 has 18 (27.3%) zerosZeros
2016년미제출 has 14 (21.2%) zerosZeros
2016년합계 has 8 (12.1%) zerosZeros
2017년적합 has 19 (28.8%) zerosZeros
2017년미제출 has 13 (19.7%) zerosZeros
2017년합계 has 7 (10.6%) zerosZeros
2018년적합 has 19 (28.8%) zerosZeros
2018년미제출 has 12 (18.2%) zerosZeros
2018년합계 has 6 (9.1%) zerosZeros
2019년적합 has 18 (27.3%) zerosZeros
2019년미제출 has 18 (27.3%) zerosZeros
2019년합계 has 9 (13.6%) zerosZeros

Reproduction

Analysis started2023-12-12 12:29:32.564276
Analysis finished2023-12-12 12:29:32.774468
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자격코드
Real number (ℝ)

Distinct37
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.19697
Minimum1
Maximum398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:33.181241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q132.75
median200
Q3212
95-th percentile304
Maximum398
Range397
Interquartile range (IQR)179.25

Descriptive statistics

Standard deviation111.67869
Coefficient of variation (CV)0.71498628
Kurtosis-1.1484215
Mean156.19697
Median Absolute Deviation (MAD)98
Skewness-0.036979479
Sum10309
Variance12472.13
MonotonicityIncreasing
2023-12-12T21:29:33.386302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 2
 
3.0%
212 2
 
3.0%
202 2
 
3.0%
203 2
 
3.0%
204 2
 
3.0%
208 2
 
3.0%
209 2
 
3.0%
210 2
 
3.0%
213 2
 
3.0%
198 2
 
3.0%
Other values (27) 46
69.7%
ValueCountFrequency (%)
1 2
3.0%
2 2
3.0%
3 2
3.0%
4 2
3.0%
5 2
3.0%
6 1
1.5%
7 2
3.0%
8 1
1.5%
9 1
1.5%
10 2
3.0%
ValueCountFrequency (%)
398 1
1.5%
305 2
3.0%
304 2
3.0%
303 2
3.0%
302 2
3.0%
301 2
3.0%
299 1
1.5%
298 2
3.0%
213 2
3.0%
212 2
3.0%

설명
Categorical

Distinct31
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
응시자격서류 기 제출자
5 
관련학과의 대학졸업자등 또는 그 졸업예정자
 
4
기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람
 
4
응시하려는 종목이 속하는 동일 및 유사 직무분야에서 9년 이상 실무에 종사한 사람
 
4
응시하려는 종목과 관련된 학과로서 고용노동부장관이 정하는 학과의 대학졸업자등으로서 졸업 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 6년 이상 실무에 종사한 사람
 
2
Other values (26)
47 

Length

Max length102
Median length67
Mean length53.287879
Min length12

Unique

Unique5 ?
Unique (%)7.6%

Sample

1st row기사 자격을 취득한 후 응시하려는 종목이 속하는 직무분야에서 4년 이상 실무에 종사한 사람
2nd row기사 자격을 취득한 후 응시하려는 종목이 속하는 직무분야에서 4년 이상 실무에 종사한 사람
3rd row산업기사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 5년 이상 실무에 종사한 사람
4th row산업기사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 5년 이상 실무에 종사한 사람
5th row기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람

Common Values

ValueCountFrequency (%)
응시자격서류 기 제출자 5
 
7.6%
관련학과의 대학졸업자등 또는 그 졸업예정자 4
 
6.1%
기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람 4
 
6.1%
응시하려는 종목이 속하는 동일 및 유사 직무분야에서 9년 이상 실무에 종사한 사람 4
 
6.1%
응시하려는 종목과 관련된 학과로서 고용노동부장관이 정하는 학과의 대학졸업자등으로서 졸업 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 6년 이상 실무에 종사한 사람 2
 
3.0%
응시하려는 종목이 속하는 동일 직무분야의 다른 종목의 기술사 등급의 자격을 취득한 사람 2
 
3.0%
2년제 전문대학 관련학과 졸업자등으로서 졸업 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 8년 이상 실무에 종사한 사람 2
 
3.0%
기능사 등급 이상의 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에 1년 이상 실무에 종사한 사람 2
 
3.0%
응시하려는 종목이 속하는 동일 및 유사 직무분야의 다른 종목의 산업기사 등급 이상의 자격을 취득한 사람 2
 
3.0%
관련학과의 2년제 또는 3년제 전문대학졸업자등 또는 그 졸업예정자 2
 
3.0%
Other values (21) 37
56.1%

Length

2023-12-12T21:29:33.586754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동일 53
 
5.9%
유사 49
 
5.5%
및 49
 
5.5%
응시하려는 48
 
5.4%
속하는 47
 
5.3%
종목이 47
 
5.3%
사람 45
 
5.0%
종사한 38
 
4.3%
실무에 38
 
4.3%
이상 37
 
4.1%
Other values (74) 441
49.4%

성별
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
전체
37 
여성
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row여성
3rd row전체
4th row여성
5th row전체

Common Values

ValueCountFrequency (%)
전체 37
56.1%
여성 29
43.9%

Length

2023-12-12T21:29:33.741900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:29:33.847004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 37
56.1%
여성 29
43.9%

2015년적합
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.287879
Minimum0
Maximum1198
Zeros19
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:33.962105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q319.5
95-th percentile220
Maximum1198
Range1198
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation175.75812
Coefficient of variation (CV)3.1789629
Kurtosis29.484488
Mean55.287879
Median Absolute Deviation (MAD)2.5
Skewness5.1284033
Sum3649
Variance30890.916
MonotonicityNot monotonic
2023-12-12T21:29:34.156207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 19
28.8%
1 10
15.2%
2 4
 
6.1%
3 3
 
4.5%
5 3
 
4.5%
16 2
 
3.0%
15 2
 
3.0%
4 2
 
3.0%
18 2
 
3.0%
6 1
 
1.5%
Other values (18) 18
27.3%
ValueCountFrequency (%)
0 19
28.8%
1 10
15.2%
2 4
 
6.1%
3 3
 
4.5%
4 2
 
3.0%
5 3
 
4.5%
6 1
 
1.5%
10 1
 
1.5%
15 2
 
3.0%
16 2
 
3.0%
ValueCountFrequency (%)
1198 1
1.5%
630 1
1.5%
469 1
1.5%
223 1
1.5%
211 1
1.5%
141 1
1.5%
117 1
1.5%
76 1
1.5%
72 1
1.5%
68 1
1.5%

2015년부적합
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
0
63 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 63
95.5%
1 3
 
4.5%

Length

2023-12-12T21:29:34.302162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:29:34.425834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
95.5%
1 3
 
4.5%

2015년미제출
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.33333
Minimum0
Maximum1842
Zeros15
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:34.577224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q381
95-th percentile346
Maximum1842
Range1842
Interquartile range (IQR)80

Descriptive statistics

Standard deviation269.06444
Coefficient of variation (CV)2.6552412
Kurtosis29.276748
Mean101.33333
Median Absolute Deviation (MAD)9
Skewness5.0568488
Sum6688
Variance72395.672
MonotonicityNot monotonic
2023-12-12T21:29:34.739382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 15
22.7%
2 5
 
7.6%
1 4
 
6.1%
3 3
 
4.5%
17 3
 
4.5%
6 3
 
4.5%
81 2
 
3.0%
8 2
 
3.0%
286 1
 
1.5%
201 1
 
1.5%
Other values (27) 27
40.9%
ValueCountFrequency (%)
0 15
22.7%
1 4
 
6.1%
2 5
 
7.6%
3 3
 
4.5%
6 3
 
4.5%
7 1
 
1.5%
8 2
 
3.0%
10 1
 
1.5%
11 1
 
1.5%
12 1
 
1.5%
ValueCountFrequency (%)
1842 1
1.5%
1067 1
1.5%
359 1
1.5%
350 1
1.5%
334 1
1.5%
325 1
1.5%
310 1
1.5%
286 1
1.5%
201 1
1.5%
176 1
1.5%

2015년합계
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.66667
Minimum0
Maximum3041
Zeros8
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:34.965829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median17.5
Q3139.5
95-th percentile512.75
Maximum3041
Range3041
Interquartile range (IQR)137.25

Descriptive statistics

Standard deviation427.47514
Coefficient of variation (CV)2.7285647
Kurtosis33.714295
Mean156.66667
Median Absolute Deviation (MAD)17.5
Skewness5.4275955
Sum10340
Variance182734.99
MonotonicityNot monotonic
2023-12-12T21:29:35.158358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 8
 
12.1%
2 5
 
7.6%
1 4
 
6.1%
3 4
 
6.1%
149 2
 
3.0%
20 2
 
3.0%
8 2
 
3.0%
12 2
 
3.0%
18 2
 
3.0%
11 2
 
3.0%
Other values (33) 33
50.0%
ValueCountFrequency (%)
0 8
12.1%
1 4
6.1%
2 5
7.6%
3 4
6.1%
4 1
 
1.5%
5 1
 
1.5%
7 1
 
1.5%
8 2
 
3.0%
9 1
 
1.5%
11 2
 
3.0%
ValueCountFrequency (%)
3041 1
1.5%
1536 1
1.5%
630 1
1.5%
533 1
1.5%
452 1
1.5%
427 1
1.5%
422 1
1.5%
342 1
1.5%
341 1
1.5%
333 1
1.5%

2016년적합
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.090909
Minimum0
Maximum1463
Zeros18
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:35.302176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338.75
95-th percentile315.5
Maximum1463
Range1463
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation229.54951
Coefficient of variation (CV)3.0167797
Kurtosis24.653487
Mean76.090909
Median Absolute Deviation (MAD)4
Skewness4.7556295
Sum5022
Variance52692.976
MonotonicityNot monotonic
2023-12-12T21:29:35.500695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 18
27.3%
2 5
 
7.6%
1 5
 
7.6%
3 4
 
6.1%
15 3
 
4.5%
5 3
 
4.5%
7 2
 
3.0%
14 2
 
3.0%
4 2
 
3.0%
12 1
 
1.5%
Other values (21) 21
31.8%
ValueCountFrequency (%)
0 18
27.3%
1 5
 
7.6%
2 5
 
7.6%
3 4
 
6.1%
4 2
 
3.0%
5 3
 
4.5%
7 2
 
3.0%
9 1
 
1.5%
10 1
 
1.5%
12 1
 
1.5%
ValueCountFrequency (%)
1463 1
1.5%
1033 1
1.5%
482 1
1.5%
319 1
1.5%
305 1
1.5%
256 1
1.5%
153 1
1.5%
151 1
1.5%
142 1
1.5%
129 1
1.5%

2016년부적합
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
0
65 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 65
98.5%
2 1
 
1.5%

Length

2023-12-12T21:29:35.707584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:29:35.842675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 65
98.5%
2 1
 
1.5%

2016년미제출
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.77273
Minimum0
Maximum2152
Zeros14
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:35.997972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7.5
Q378.5
95-th percentile332.25
Maximum2152
Range2152
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation298.35806
Coefficient of variation (CV)2.9030859
Kurtosis35.915514
Mean102.77273
Median Absolute Deviation (MAD)7.5
Skewness5.611206
Sum6783
Variance89017.532
MonotonicityNot monotonic
2023-12-12T21:29:36.199931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 14
21.2%
1 7
 
10.6%
3 4
 
6.1%
4 3
 
4.5%
6 2
 
3.0%
16 2
 
3.0%
318 1
 
1.5%
225 1
 
1.5%
30 1
 
1.5%
2152 1
 
1.5%
Other values (30) 30
45.5%
ValueCountFrequency (%)
0 14
21.2%
1 7
10.6%
2 1
 
1.5%
3 4
 
6.1%
4 3
 
4.5%
5 1
 
1.5%
6 2
 
3.0%
7 1
 
1.5%
8 1
 
1.5%
11 1
 
1.5%
ValueCountFrequency (%)
2152 1
1.5%
1013 1
1.5%
417 1
1.5%
337 1
1.5%
318 1
1.5%
306 1
1.5%
302 1
1.5%
241 1
1.5%
225 1
1.5%
195 1
1.5%

2016년합계
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.89394
Minimum0
Maximum3617
Zeros8
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:36.376119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median16.5
Q3144.25
95-th percentile697.75
Maximum3617
Range3617
Interquartile range (IQR)141.75

Descriptive statistics

Standard deviation500.28251
Coefficient of variation (CV)2.7965313
Kurtosis35.491031
Mean178.89394
Median Absolute Deviation (MAD)16.5
Skewness5.5287548
Sum11807
Variance250282.59
MonotonicityNot monotonic
2023-12-12T21:29:36.570392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 8
 
12.1%
1 6
 
9.1%
7 4
 
6.1%
8 3
 
4.5%
2 3
 
4.5%
21 2
 
3.0%
65 2
 
3.0%
4 2
 
3.0%
291 2
 
3.0%
6 2
 
3.0%
Other values (32) 32
48.5%
ValueCountFrequency (%)
0 8
12.1%
1 6
9.1%
2 3
 
4.5%
4 2
 
3.0%
6 2
 
3.0%
7 4
6.1%
8 3
 
4.5%
12 1
 
1.5%
13 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
3617 1
1.5%
1495 1
1.5%
1033 1
1.5%
722 1
1.5%
625 1
1.5%
466 1
1.5%
453 1
1.5%
333 1
1.5%
293 1
1.5%
291 2
3.0%

2017년적합
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.560606
Minimum0
Maximum1277
Zeros19
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:36.737513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q336.5
95-th percentile443
Maximum1277
Range1277
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation221.38898
Coefficient of variation (CV)2.7826457
Kurtosis18.671017
Mean79.560606
Median Absolute Deviation (MAD)3.5
Skewness4.1780238
Sum5251
Variance49013.081
MonotonicityNot monotonic
2023-12-12T21:29:36.930142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 19
28.8%
1 8
 
12.1%
4 5
 
7.6%
2 3
 
4.5%
3 3
 
4.5%
58 2
 
3.0%
14 1
 
1.5%
165 1
 
1.5%
6 1
 
1.5%
28 1
 
1.5%
Other values (22) 22
33.3%
ValueCountFrequency (%)
0 19
28.8%
1 8
12.1%
2 3
 
4.5%
3 3
 
4.5%
4 5
 
7.6%
6 1
 
1.5%
7 1
 
1.5%
9 1
 
1.5%
14 1
 
1.5%
15 1
 
1.5%
ValueCountFrequency (%)
1277 1
1.5%
1073 1
1.5%
531 1
1.5%
494 1
1.5%
290 1
1.5%
257 1
1.5%
194 1
1.5%
170 1
1.5%
165 1
1.5%
149 1
1.5%

2017년부적합
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
0
59 
1
 
4
4
 
1
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
89.4%
1 4
 
6.1%
4 1
 
1.5%
2 1
 
1.5%
5 1
 
1.5%

Length

2023-12-12T21:29:37.084335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:29:37.220590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
89.4%
1 4
 
6.1%
4 1
 
1.5%
2 1
 
1.5%
5 1
 
1.5%

2017년미제출
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.87879
Minimum0
Maximum2342
Zeros13
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:37.386462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q395.75
95-th percentile413.75
Maximum2342
Range2342
Interquartile range (IQR)94.75

Descriptive statistics

Standard deviation317.80262
Coefficient of variation (CV)2.8923019
Kurtosis38.73209
Mean109.87879
Median Absolute Deviation (MAD)9
Skewness5.8010067
Sum7252
Variance100998.51
MonotonicityNot monotonic
2023-12-12T21:29:37.548978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 13
19.7%
1 8
 
12.1%
5 3
 
4.5%
2 3
 
4.5%
9 2
 
3.0%
12 2
 
3.0%
15 2
 
3.0%
38 1
 
1.5%
2342 1
 
1.5%
472 1
 
1.5%
Other values (30) 30
45.5%
ValueCountFrequency (%)
0 13
19.7%
1 8
12.1%
2 3
 
4.5%
3 1
 
1.5%
4 1
 
1.5%
5 3
 
4.5%
6 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
9 2
 
3.0%
ValueCountFrequency (%)
2342 1
1.5%
930 1
1.5%
472 1
1.5%
436 1
1.5%
347 1
1.5%
296 1
1.5%
291 1
1.5%
273 1
1.5%
235 1
1.5%
175 1
1.5%

2017년합계
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.66667
Minimum0
Maximum3624
Zeros7
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:37.719462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17.5
Q3164.25
95-th percentile888.25
Maximum3624
Range3624
Interquartile range (IQR)162.25

Descriptive statistics

Standard deviation507.86907
Coefficient of variation (CV)2.6776928
Kurtosis33.083798
Mean189.66667
Median Absolute Deviation (MAD)17.5
Skewness5.2900385
Sum12518
Variance257930.99
MonotonicityNot monotonic
2023-12-12T21:29:37.934773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 8
 
12.1%
0 7
 
10.6%
2 4
 
6.1%
15 2
 
3.0%
6 2
 
3.0%
5 2
 
3.0%
10 2
 
3.0%
19 2
 
3.0%
305 1
 
1.5%
44 1
 
1.5%
Other values (35) 35
53.0%
ValueCountFrequency (%)
0 7
10.6%
1 8
12.1%
2 4
6.1%
3 1
 
1.5%
4 1
 
1.5%
5 2
 
3.0%
6 2
 
3.0%
8 1
 
1.5%
10 2
 
3.0%
11 1
 
1.5%
ValueCountFrequency (%)
3624 1
1.5%
1465 1
1.5%
1074 1
1.5%
930 1
1.5%
763 1
1.5%
519 1
1.5%
445 1
1.5%
370 1
1.5%
351 1
1.5%
305 1
1.5%

2018년적합
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.333333
Minimum0
Maximum1532
Zeros19
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:38.124990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q328
95-th percentile341.5
Maximum1532
Range1532
Interquartile range (IQR)28

Descriptive statistics

Standard deviation240.38074
Coefficient of variation (CV)3.1083717
Kurtosis25.662495
Mean77.333333
Median Absolute Deviation (MAD)5
Skewness4.8861399
Sum5104
Variance57782.903
MonotonicityNot monotonic
2023-12-12T21:29:38.313295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 19
28.8%
1 5
 
7.6%
2 4
 
6.1%
28 3
 
4.5%
3 3
 
4.5%
5 3
 
4.5%
6 3
 
4.5%
7 2
 
3.0%
39 2
 
3.0%
10 1
 
1.5%
Other values (21) 21
31.8%
ValueCountFrequency (%)
0 19
28.8%
1 5
 
7.6%
2 4
 
6.1%
3 3
 
4.5%
4 1
 
1.5%
5 3
 
4.5%
6 3
 
4.5%
7 2
 
3.0%
8 1
 
1.5%
10 1
 
1.5%
ValueCountFrequency (%)
1532 1
1.5%
1124 1
1.5%
410 1
1.5%
365 1
1.5%
271 1
1.5%
209 1
1.5%
180 1
1.5%
169 1
1.5%
154 1
1.5%
125 1
1.5%

2018년부적합
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
0
60 
1
 
4
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 60
90.9%
1 4
 
6.1%
2 1
 
1.5%
5 1
 
1.5%

Length

2023-12-12T21:29:38.483606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:29:38.599641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
90.9%
1 4
 
6.1%
2 1
 
1.5%
5 1
 
1.5%

2018년미제출
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.89394
Minimum0
Maximum1972
Zeros12
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:38.778509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10.5
Q390.75
95-th percentile389
Maximum1972
Range1972
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation280.5725
Coefficient of variation (CV)2.6495614
Kurtosis31.19837
Mean105.89394
Median Absolute Deviation (MAD)10.5
Skewness5.1446311
Sum6989
Variance78720.927
MonotonicityNot monotonic
2023-12-12T21:29:38.967305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 12
 
18.2%
1 7
 
10.6%
2 4
 
6.1%
5 3
 
4.5%
3 3
 
4.5%
20 2
 
3.0%
250 1
 
1.5%
40 1
 
1.5%
29 1
 
1.5%
1972 1
 
1.5%
Other values (31) 31
47.0%
ValueCountFrequency (%)
0 12
18.2%
1 7
10.6%
2 4
 
6.1%
3 3
 
4.5%
5 3
 
4.5%
6 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
9 1
 
1.5%
12 1
 
1.5%
ValueCountFrequency (%)
1972 1
1.5%
886 1
1.5%
664 1
1.5%
398 1
1.5%
362 1
1.5%
288 1
1.5%
284 1
1.5%
250 1
1.5%
230 1
1.5%
199 1
1.5%

2018년합계
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.39394
Minimum0
Maximum3509
Zeros6
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:39.194926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21.5
Q3154
95-th percentile815.75
Maximum3509
Range3509
Interquartile range (IQR)152

Descriptive statistics

Standard deviation489.14279
Coefficient of variation (CV)2.6671699
Kurtosis33.698441
Mean183.39394
Median Absolute Deviation (MAD)21
Skewness5.330944
Sum12104
Variance239260.67
MonotonicityNot monotonic
2023-12-12T21:29:39.398696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 7
 
10.6%
0 6
 
9.1%
2 6
 
9.1%
5 2
 
3.0%
25 2
 
3.0%
6 2
 
3.0%
262 1
 
1.5%
7 1
 
1.5%
46 1
 
1.5%
3509 1
 
1.5%
Other values (37) 37
56.1%
ValueCountFrequency (%)
0 6
9.1%
1 7
10.6%
2 6
9.1%
4 1
 
1.5%
5 2
 
3.0%
6 2
 
3.0%
7 1
 
1.5%
8 1
 
1.5%
9 1
 
1.5%
11 1
 
1.5%
ValueCountFrequency (%)
3509 1
1.5%
1298 1
1.5%
1124 1
1.5%
833 1
1.5%
764 1
1.5%
517 1
1.5%
493 1
1.5%
413 1
1.5%
306 1
1.5%
271 1
1.5%

2019년적합
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.393939
Minimum0
Maximum1585
Zeros18
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:39.973735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q334.75
95-th percentile377.25
Maximum1585
Range1585
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation257.85571
Coefficient of variation (CV)3.0920197
Kurtosis23.843047
Mean83.393939
Median Absolute Deviation (MAD)4
Skewness4.7419892
Sum5504
Variance66489.566
MonotonicityNot monotonic
2023-12-12T21:29:40.163211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 18
27.3%
1 9
13.6%
4 4
 
6.1%
3 3
 
4.5%
37 2
 
3.0%
23 2
 
3.0%
7 2
 
3.0%
28 2
 
3.0%
2 2
 
3.0%
11 1
 
1.5%
Other values (21) 21
31.8%
ValueCountFrequency (%)
0 18
27.3%
1 9
13.6%
2 2
 
3.0%
3 3
 
4.5%
4 4
 
6.1%
5 1
 
1.5%
6 1
 
1.5%
7 2
 
3.0%
9 1
 
1.5%
11 1
 
1.5%
ValueCountFrequency (%)
1585 1
1.5%
1264 1
1.5%
491 1
1.5%
415 1
1.5%
264 1
1.5%
251 1
1.5%
218 1
1.5%
144 1
1.5%
124 1
1.5%
118 1
1.5%

2019년부적합
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
0
62 
2
 
2
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
93.9%
2 2
 
3.0%
1 2
 
3.0%

Length

2023-12-12T21:29:40.367461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:29:40.517483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
93.9%
2 2
 
3.0%
1 2
 
3.0%

2019년미제출
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.84848
Minimum0
Maximum2442
Zeros18
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:40.661999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.5
Q3100
95-th percentile389
Maximum2442
Range2442
Interquartile range (IQR)100

Descriptive statistics

Standard deviation334.19245
Coefficient of variation (CV)2.8357806
Kurtosis37.259525
Mean117.84848
Median Absolute Deviation (MAD)13.5
Skewness5.6808724
Sum7778
Variance111684.59
MonotonicityNot monotonic
2023-12-12T21:29:40.824030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 18
27.3%
1 3
 
4.5%
6 3
 
4.5%
12 2
 
3.0%
39 2
 
3.0%
16 2
 
3.0%
245 1
 
1.5%
46 1
 
1.5%
2442 1
 
1.5%
608 1
 
1.5%
Other values (32) 32
48.5%
ValueCountFrequency (%)
0 18
27.3%
1 3
 
4.5%
2 1
 
1.5%
3 1
 
1.5%
4 1
 
1.5%
6 3
 
4.5%
7 1
 
1.5%
9 1
 
1.5%
10 1
 
1.5%
12 2
 
3.0%
ValueCountFrequency (%)
2442 1
1.5%
1002 1
1.5%
608 1
1.5%
394 1
1.5%
374 1
1.5%
345 1
1.5%
314 1
1.5%
250 1
1.5%
245 1
1.5%
213 1
1.5%

2019년합계
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.33333
Minimum0
Maximum4029
Zeros9
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T21:29:40.969512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median22.5
Q3172.25
95-th percentile920.25
Maximum4029
Range4029
Interquartile range (IQR)170.25

Descriptive statistics

Standard deviation556.33748
Coefficient of variation (CV)2.7632656
Kurtosis35.478985
Mean201.33333
Median Absolute Deviation (MAD)22.5
Skewness5.5125848
Sum13288
Variance309511.39
MonotonicityNot monotonic
2023-12-12T21:29:41.155689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 9
 
13.6%
1 7
 
10.6%
6 3
 
4.5%
22 2
 
3.0%
57 2
 
3.0%
23 2
 
3.0%
2 2
 
3.0%
176 2
 
3.0%
60 2
 
3.0%
4 2
 
3.0%
Other values (33) 33
50.0%
ValueCountFrequency (%)
0 9
13.6%
1 7
10.6%
2 2
 
3.0%
4 2
 
3.0%
6 3
 
4.5%
9 1
 
1.5%
10 1
 
1.5%
12 1
 
1.5%
13 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
4029 1
1.5%
1495 1
1.5%
1264 1
1.5%
1023 1
1.5%
612 1
1.5%
493 1
1.5%
489 1
1.5%
397 1
1.5%
300 1
1.5%
293 1
1.5%

Sample

자격코드설명성별2015년적합2015년부적합2015년미제출2015년합계2016년적합2016년부적합2016년미제출2016년합계2017년적합2017년부적합2017년미제출2017년합계2018년적합2018년부적합2018년미제출2018년합계2019년적합2019년부적합2019년미제출2019년합계
01기사 자격을 취득한 후 응시하려는 종목이 속하는 직무분야에서 4년 이상 실무에 종사한 사람전체160325341150318333140291305111250262150245260
11기사 자격을 취득한 후 응시하려는 종목이 속하는 직무분야에서 4년 이상 실무에 종사한 사람여성1011121012001100550066
22산업기사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 5년 이상 실무에 종사한 사람전체107475206365006161305255105657
32산업기사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 5년 이상 실무에 종사한 사람여성00000000000000110011
43기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람전체10780044105600880099
53기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람여성00000000001100110011
64응시하려는 종목과 관련된 학과로서 고용노동부장관이 정하는 학과의 대학졸업자등으로서 졸업 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 6년 이상 실무에 종사한 사람전체308184408993407781509095508893
74응시하려는 종목과 관련된 학과로서 고용노동부장관이 정하는 학과의 대학졸업자등으로서 졸업 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 6년 이상 실무에 종사한 사람여성00110011000000000000
85응시하려는 종목이 속하는 동일 직무분야의 다른 종목의 기술사 등급의 자격을 취득한 사람전체001717201517201618101617101213
95응시하려는 종목이 속하는 동일 직무분야의 다른 종목의 기술사 등급의 자격을 취득한 사람여성00110000001100111001
자격코드설명성별2015년적합2015년부적합2015년미제출2015년합계2016년적합2016년부적합2016년미제출2016년합계2017년적합2017년부적합2017년미제출2017년합계2018년적합2018년부적합2018년미제출2018년합계2019년적합2019년부적합2019년미제출2019년합계
56301응시하려는 종목이 속하는 동일 및 유사 직무분야의 산업기사 또는 기능사 자격을 취득한 후 「근로자직업능력 개발법」에 따라 설립된 기능대학의 기능장과정을 마친 이수자 또는 그 이수예정자여성00000011000000000000
57302산업기사 등급 이상의 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 5년 이상 실무에 종사한 사람전체5101762271420149291194117537012502884131240169293
58302산업기사 등급 이상의 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 5년 이상 실무에 종사한 사람여성6061270613901120202426901423
59303기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람전체18011413256079135710142213280172200370123160
60303기능사 자격을 취득한 후 응시하려는 종목이 속하는 동일 및 유사 직무분야에서 7년 이상 실무에 종사한 사람여성00333036404810560066
61304응시하려는 종목이 속하는 동일 및 유사 직무분야에서 9년 이상 실무에 종사한 사람전체6803594273190306625494043693016906648331440345489
62304응시하려는 종목이 속하는 동일 및 유사 직무분야에서 9년 이상 실무에 종사한 사람여성20245038150924702835701623
63305응시하려는 종목이 속하는 동일 직무분야의 다른 종목의 기능장 등급의 자격을 취득한 사람전체180678545033783506510013062752803260
64305응시하려는 종목이 속하는 동일 직무분야의 다른 종목의 기능장 등급의 자격을 취득한 사람여성00220000100100220011
65398응시자격서류 기 제출자전체20027007200220021001