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
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%
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

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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 사람전체30818440