Overview

Dataset statistics

Number of variables10
Number of observations696
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.6 KiB
Average record size in memory86.2 B

Variable types

Categorical3
Numeric5
DateTime1
Text1

Dataset

Description한국방송통신전파진흥원에서 시행하는 국가기술자격검정의 종목별 응시자 세부 현황입니다. 컬럼 : 응시종목, 검정년도, 검정회차, 필기실기, 시험일시, 시험장이름, 제한인원, 응시인원, 결시인원, 응시율
URLhttps://www.data.go.kr/data/15076832/fileData.do

Alerts

응시종목 is highly overall correlated with 검정회차 and 1 other fieldsHigh correlation
필기실기 is highly overall correlated with 제한인원 and 2 other fieldsHigh correlation
검정회차 is highly overall correlated with 응시종목High correlation
제한인원 is highly overall correlated with 응시인원 and 2 other fieldsHigh correlation
응시인원 is highly overall correlated with 제한인원High correlation
결시인원 is highly overall correlated with 제한인원 and 2 other fieldsHigh correlation
응시율 is highly overall correlated with 결시인원High correlation
검정년도 is highly imbalanced (94.9%)Imbalance
응시인원 has 25 (3.6%) zerosZeros
결시인원 has 59 (8.5%) zerosZeros
응시율 has 25 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-12 10:18:44.726570
Analysis finished2023-12-12 10:18:48.494234
Duration3.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

응시종목
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
필기(기사/기능사/무선통신사)
161 
필기(기능장/산업기사/아마추어)
114 
국가기술자격실기(2군)
111 
항공무선통신사
71 
정보보안산업기사
60 
Other values (9)
179 

Length

Max length17
Median length12
Mean length11.642241
Min length6

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row육상무선통신사
2nd row항공무선통신사
3rd row항공무선통신사
4th row필기(기능장/산업기사/아마추어)
5th row해상무선통신사

Common Values

ValueCountFrequency (%)
필기(기사/기능사/무선통신사) 161
23.1%
필기(기능장/산업기사/아마추어) 114
16.4%
국가기술자격실기(2군) 111
15.9%
항공무선통신사 71
10.2%
정보보안산업기사 60
 
8.6%
정보보안기사 60
 
8.6%
육상무선통신사 30
 
4.3%
해상무선통신사 25
 
3.6%
국가자격실기 24
 
3.4%
정보통신기술사 15
 
2.2%
Other values (4) 25
 
3.6%

Length

2023-12-12T19:18:48.595210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
필기(기사/기능사/무선통신사 161
23.1%
필기(기능장/산업기사/아마추어 114
16.4%
국가기술자격실기(2군 111
15.9%
항공무선통신사 71
10.2%
정보보안산업기사 60
 
8.6%
정보보안기사 60
 
8.6%
육상무선통신사 30
 
4.3%
해상무선통신사 25
 
3.6%
국가자격실기 24
 
3.4%
정보통신기술사 15
 
2.2%
Other values (4) 25
 
3.6%

검정년도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2022
692 
2023
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 692
99.4%
2023 4
 
0.6%

Length

2023-12-12T19:18:48.736210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:48.850647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 692
99.4%
2023 4
 
0.6%

검정회차
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.304598
Minimum1
Maximum888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T19:18:49.050873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile410
Maximum888
Range887
Interquartile range (IQR)6

Descriptive statistics

Standard deviation139.16757
Coefficient of variation (CV)2.0080569
Kurtosis3.1627012
Mean69.304598
Median Absolute Deviation (MAD)2
Skewness1.99515
Sum48236
Variance19367.614
MonotonicityNot monotonic
2023-12-12T19:18:49.232592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 149
21.4%
4 149
21.4%
2 133
19.1%
3 51
 
7.3%
8 15
 
2.2%
6 12
 
1.7%
7 12
 
1.7%
10 11
 
1.6%
5 8
 
1.1%
9 7
 
1.0%
Other values (42) 149
21.4%
ValueCountFrequency (%)
1 149
21.4%
2 133
19.1%
3 51
 
7.3%
4 149
21.4%
5 8
 
1.1%
6 12
 
1.7%
7 12
 
1.7%
8 15
 
2.2%
9 7
 
1.0%
10 11
 
1.6%
ValueCountFrequency (%)
888 1
 
0.1%
455 6
0.9%
454 5
0.7%
453 4
0.6%
452 4
0.6%
451 3
0.4%
412 4
0.6%
411 5
0.7%
410 4
0.6%
409 5
0.7%

필기실기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
필기
511 
실기
185 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row필기
2nd row필기
3rd row실기
4th row필기
5th row필기

Common Values

ValueCountFrequency (%)
필기 511
73.4%
실기 185
 
26.6%

Length

2023-12-12T19:18:49.399717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:49.536086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
필기 511
73.4%
실기 185
 
26.6%

시험일시
Date

Distinct160
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2022-01-07 10:00:00
Maximum2023-01-12 10:00:00
2023-12-12T19:18:49.661792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:49.817735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시험장이름
Text

Distinct115
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-12T19:18:50.114023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.287356
Min length3

Characters and Unicode

Total characters7856
Distinct characters148
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)6.8%

Sample

1st row온라인교육
2nd row온라인교육
3rd row온라인교육
4th row(가락동)서울본부 14층 교육장
5th row부산지역자체검정장(동구)
ValueCountFrequency (%)
서구 62
 
6.8%
온라인교육 56
 
6.2%
송파구 45
 
5.0%
cbt(서울01 45
 
5.0%
cbt(충청01 41
 
4.5%
cbt(경인01 29
 
3.2%
남동구 29
 
3.2%
cbt(부산01 26
 
2.9%
동구 26
 
2.9%
cbt(전남01 21
 
2.3%
Other values (117) 528
58.1%
2023-12-12T19:18:50.610748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 518
 
6.6%
) 518
 
6.6%
구 453
 
5.8%
교 369
 
4.7%
학 369
 
4.7%
서 264
 
3.4%
212
 
2.7%
1 190
 
2.4%
대 189
 
2.4%
T 187
 
2.4%
Other values (138) 4587
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5656
72.0%
Uppercase Letter 559
 
7.1%
Open Punctuation 518
 
6.6%
Close Punctuation 518
 
6.6%
Decimal Number 383
 
4.9%
Space Separator 212
 
2.7%
Connector Punctuation 7
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 453
 
8.0%
교 369
 
6.5%
학 369
 
6.5%
서 264
 
4.7%
대 189
 
3.3%
고 185
 
3.3%
등 182
 
3.2%
자 130
 
2.3%
인 130
 
2.3%
동 124
 
2.2%
Other values (123) 3261
57.7%
Decimal Number
ValueCountFrequency (%)
1 190
49.6%
0 181
47.3%
4 4
 
1.0%
2 4
 
1.0%
7 3
 
0.8%
5 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
T 187
33.5%
C 185
33.1%
B 181
32.4%
I 6
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 518
100.0%
Close Punctuation
ValueCountFrequency (%)
) 518
100.0%
Space Separator
ValueCountFrequency (%)
212
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5656
72.0%
Common 1641
 
20.9%
Latin 559
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 453
 
8.0%
교 369
 
6.5%
학 369
 
6.5%
서 264
 
4.7%
대 189
 
3.3%
고 185
 
3.3%
등 182
 
3.2%
자 130
 
2.3%
인 130
 
2.3%
동 124
 
2.2%
Other values (123) 3261
57.7%
Common
ValueCountFrequency (%)
( 518
31.6%
) 518
31.6%
212
12.9%
1 190
 
11.6%
0 181
 
11.0%
_ 7
 
0.4%
4 4
 
0.2%
2 4
 
0.2%
- 3
 
0.2%
7 3
 
0.2%
Latin
ValueCountFrequency (%)
T 187
33.5%
C 185
33.1%
B 181
32.4%
I 6
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5656
72.0%
ASCII 2200
 
28.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 518
23.5%
) 518
23.5%
212
9.6%
1 190
 
8.6%
T 187
 
8.5%
C 185
 
8.4%
B 181
 
8.2%
0 181
 
8.2%
_ 7
 
0.3%
I 6
 
0.3%
Other values (5) 15
 
0.7%
Hangul
ValueCountFrequency (%)
구 453
 
8.0%
교 369
 
6.5%
학 369
 
6.5%
서 264
 
4.7%
대 189
 
3.3%
고 185
 
3.3%
등 182
 
3.2%
자 130
 
2.3%
인 130
 
2.3%
동 124
 
2.2%
Other values (123) 3261
57.7%

제한인원
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275.37356
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T19:18:50.789997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q128
median80
Q3312.5
95-th percentile999
Maximum999
Range998
Interquartile range (IQR)284.5

Descriptive statistics

Standard deviation363.01622
Coefficient of variation (CV)1.3182682
Kurtosis0.038619726
Mean275.37356
Median Absolute Deviation (MAD)60
Skewness1.3122843
Sum191660
Variance131780.78
MonotonicityNot monotonic
2023-12-12T19:18:50.999750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 128
18.4%
28 56
 
8.0%
22 41
 
5.9%
200 31
 
4.5%
100 26
 
3.7%
23 25
 
3.6%
45 24
 
3.4%
30 23
 
3.3%
150 23
 
3.3%
18 22
 
3.2%
Other values (63) 297
42.7%
ValueCountFrequency (%)
1 2
 
0.3%
2 1
 
0.1%
5 3
 
0.4%
6 1
 
0.1%
10 5
 
0.7%
13 2
 
0.3%
15 3
 
0.4%
16 2
 
0.3%
18 22
3.2%
19 1
 
0.1%
ValueCountFrequency (%)
999 128
18.4%
640 2
 
0.3%
600 4
 
0.6%
550 2
 
0.3%
500 3
 
0.4%
480 4
 
0.6%
440 4
 
0.6%
425 3
 
0.4%
420 4
 
0.6%
400 8
 
1.1%

응시인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct201
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.494253
Minimum0
Maximum576
Zeros25
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T19:18:51.180663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q114
median29
Q383
95-th percentile272.5
Maximum576
Range576
Interquartile range (IQR)69

Descriptive statistics

Standard deviation93.853659
Coefficient of variation (CV)1.350524
Kurtosis5.2348023
Mean69.494253
Median Absolute Deviation (MAD)23
Skewness2.2578107
Sum48368
Variance8808.5093
MonotonicityNot monotonic
2023-12-12T19:18:51.364545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
3.6%
20 24
 
3.4%
2 18
 
2.6%
22 16
 
2.3%
4 16
 
2.3%
18 15
 
2.2%
9 14
 
2.0%
23 14
 
2.0%
21 13
 
1.9%
24 13
 
1.9%
Other values (191) 528
75.9%
ValueCountFrequency (%)
0 25
3.6%
1 11
1.6%
2 18
2.6%
3 13
1.9%
4 16
2.3%
5 13
1.9%
6 10
 
1.4%
7 8
 
1.1%
8 4
 
0.6%
9 14
2.0%
ValueCountFrequency (%)
576 1
0.1%
479 1
0.1%
455 1
0.1%
452 1
0.1%
451 2
0.3%
440 1
0.1%
436 1
0.1%
431 1
0.1%
414 1
0.1%
410 1
0.1%

결시인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct247
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.87931
Minimum-3
Maximum999
Zeros59
Zeros (%)8.5%
Negative2
Negative (%)0.3%
Memory size6.2 KiB
2023-12-12T19:18:51.568478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile0
Q19
median28
Q3181.25
95-th percentile975.25
Maximum999
Range1002
Interquartile range (IQR)172.25

Descriptive statistics

Standard deviation336.96571
Coefficient of variation (CV)1.6367148
Kurtosis0.71897492
Mean205.87931
Median Absolute Deviation (MAD)26
Skewness1.5603197
Sum143292
Variance113545.89
MonotonicityNot monotonic
2023-12-12T19:18:51.737602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
8.5%
1 22
 
3.2%
6 20
 
2.9%
2 19
 
2.7%
28 15
 
2.2%
5 14
 
2.0%
19 14
 
2.0%
10 13
 
1.9%
18 13
 
1.9%
7 12
 
1.7%
Other values (237) 495
71.1%
ValueCountFrequency (%)
-3 1
 
0.1%
-1 1
 
0.1%
0 59
8.5%
1 22
 
3.2%
2 19
 
2.7%
3 9
 
1.3%
4 11
 
1.6%
5 14
 
2.0%
6 20
 
2.9%
7 12
 
1.7%
ValueCountFrequency (%)
999 2
0.3%
997 2
0.3%
995 2
0.3%
993 1
 
0.1%
992 2
0.3%
991 2
0.3%
990 2
0.3%
989 1
 
0.1%
988 1
 
0.1%
986 3
0.4%

응시율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct356
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.372845
Minimum0
Maximum110
Zeros25
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T19:18:51.925979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q113.6
median45.95
Q384.95
95-th percentile100
Maximum110
Range110
Interquartile range (IQR)71.35

Descriptive statistics

Standard deviation35.616741
Coefficient of variation (CV)0.73629619
Kurtosis-1.5229938
Mean48.372845
Median Absolute Deviation (MAD)35.4
Skewness0.09314881
Sum33667.5
Variance1268.5523
MonotonicityNot monotonic
2023-12-12T19:18:52.404697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 59
 
8.5%
0.0 25
 
3.6%
70.0 8
 
1.1%
90.0 8
 
1.1%
80.0 7
 
1.0%
50.0 7
 
1.0%
30.0 6
 
0.9%
3.6 6
 
0.9%
10.7 6
 
0.9%
87.0 6
 
0.9%
Other values (346) 558
80.2%
ValueCountFrequency (%)
0.0 25
3.6%
0.2 2
 
0.3%
0.4 2
 
0.3%
0.6 1
 
0.1%
0.7 2
 
0.3%
0.8 2
 
0.3%
0.9 2
 
0.3%
1.0 1
 
0.1%
1.1 1
 
0.1%
1.3 3
 
0.4%
ValueCountFrequency (%)
110.0 1
 
0.1%
103.3 1
 
0.1%
100.0 59
8.5%
98.6 2
 
0.3%
98.5 1
 
0.1%
98.4 1
 
0.1%
98.3 1
 
0.1%
98.0 1
 
0.1%
97.8 4
 
0.6%
97.5 1
 
0.1%

Interactions

2023-12-12T19:18:47.703118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:45.312474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:45.910158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.473876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.075407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.805571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:45.427142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.027391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.584359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.195520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.906173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:45.544849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.127675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.690676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.325468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:48.000605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:45.672574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.232542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.835912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.459511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:48.097803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:45.793614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.350147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:46.958719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:47.584532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:18:52.524591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
응시종목검정년도검정회차필기실기제한인원응시인원결시인원응시율
응시종목1.0000.4270.8050.9920.7070.3640.6750.655
검정년도0.4271.0000.0000.0000.0000.0000.0000.152
검정회차0.8050.0001.0000.4130.3140.2210.2010.205
필기실기0.9920.0000.4131.0000.9470.1790.9320.501
제한인원0.7070.0000.3140.9471.0000.7140.7900.447
응시인원0.3640.0000.2210.1790.7141.0000.8040.512
결시인원0.6750.0000.2010.9320.7900.8041.0000.774
응시율0.6550.1520.2050.5010.4470.5120.7741.000
2023-12-12T19:18:52.638948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
응시종목검정년도필기실기
응시종목1.0000.3310.916
검정년도0.3311.0000.000
필기실기0.9160.0001.000
2023-12-12T19:18:52.731232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검정회차제한인원응시인원결시인원응시율응시종목검정년도필기실기
검정회차1.000-0.471-0.477-0.346-0.0390.5610.0000.297
제한인원-0.4711.0000.6520.853-0.3690.4070.0000.796
응시인원-0.4770.6521.0000.2830.3460.1550.0000.136
결시인원-0.3460.8530.2831.000-0.7520.3500.0000.776
응시율-0.039-0.3690.346-0.7521.0000.3320.1160.383
응시종목0.5610.4070.1550.3500.3321.0000.3310.916
검정년도0.0000.0000.0000.0000.1160.3311.0000.000
필기실기0.2970.7960.1360.7760.3830.9160.0001.000

Missing values

2023-12-12T19:18:48.232528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:18:48.423548image/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

응시종목검정년도검정회차필기실기시험일시시험장이름제한인원응시인원결시인원응시율
0육상무선통신사20221필기2022-01-07 10:00온라인교육22220100.0
1항공무선통신사20221필기2022-01-07 10:30온라인교육24240100.0
2항공무선통신사20221실기2022-01-07 11:30온라인교육19190100.0
3필기(기능장/산업기사/아마추어)20221필기2022-01-11 14:00(가락동)서울본부 14층 교육장4035587.5
4해상무선통신사20221필기2022-01-20 10:00부산지역자체검정장(동구)2061430.0
5항공무선통신사20221필기2022-01-21 10:00온라인교육21210100.0
6항공무선통신사20221실기2022-01-21 11:30온라인교육2524196.0
7육상무선통신사20221필기2022-01-21 14:00온라인교육35251071.4
8항공무선통신사20221필기2022-01-22 09:30온라인교육7067395.7
9항공무선통신사20221실기2022-01-22 13:00온라인교육70601085.7
응시종목검정년도검정회차필기실기시험일시시험장이름제한인원응시인원결시인원응시율
686제3급아마추어(전화)20221필기2022-12-05 14:00온라인교육31310100.0
687해상무선통신사202213필기2022-12-09 10:00온라인교육35350100.0
688제3급아마추어(전화)20227필기2022-12-17 10:00온라인교육25250100.0
689제3급아마추어(전신)20227필기2022-12-17 10:00온라인교육53260.0
690필기(기능장/산업기사/아마추어)20226필기2022-12-17 11:00온라인교육2019195.0
691해상무선통신사202214필기2022-12-22 10:00온라인교육3021970.0
692육상무선통신사20231필기2023-01-12 10:00북서울본부자체검정장(마포구)3021970.0
693육상무선통신사20231필기2023-01-12 10:00CBT(부산01) 동구28181064.3
694육상무선통신사20231필기2023-01-12 10:00CBT(전남01) 서구189950.0
695육상무선통신사20231필기2023-01-12 10:00CBT(충청01) 서구22101245.5