Overview

Dataset statistics

Number of variables20
Number of observations308
Missing cells1006
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.7 KiB
Average record size in memory168.4 B

Variable types

Numeric7
Categorical9
Text1
DateTime2
Boolean1

Dataset

Description철도차량 운전면허 및 철도교통 관제자격증명 교육관련 데이터로 "교육기관코드, 교육기수일련번호, 교육과정코드, 교육과목 구분코드, 교육과목코드, 교육과정명, 설명, 과목코드, 교육시간 등"의 정보를 제공합니다.
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15064523/fileData.do

Alerts

대분류 has constant value ""Constant
설명 is highly overall correlated with 순번 and 7 other fieldsHigh correlation
영문_테이블명 is highly overall correlated with 순번 and 12 other fieldsHigh correlation
교육과목구분코드 is highly overall correlated with 영문_테이블명 and 2 other fieldsHigh correlation
한글_테이블명 is highly overall correlated with 순번 and 12 other fieldsHigh correlation
사용여부 is highly overall correlated with 교육과정코드 and 5 other fieldsHigh correlation
자격구분코드 is highly overall correlated with 영문_테이블명 and 2 other fieldsHigh correlation
교육기관코드 is highly overall correlated with 교육시간 and 2 other fieldsHigh correlation
면허종류코드 is highly overall correlated with 교육과목코드 and 4 other fieldsHigh correlation
업무분야코드 is highly overall correlated with 교육과정코드 and 4 other fieldsHigh correlation
순번 is highly overall correlated with 교육시간 and 3 other fieldsHigh correlation
교육기수일련번호 is highly overall correlated with 교육시간 and 2 other fieldsHigh correlation
교육과정코드 is highly overall correlated with 응시자격코드 and 5 other fieldsHigh correlation
교육과목코드 is highly overall correlated with 설명 and 1 other fieldsHigh correlation
과목코드 is highly overall correlated with 영문_테이블명 and 2 other fieldsHigh correlation
교육시간 is highly overall correlated with 순번 and 7 other fieldsHigh correlation
응시자격코드 is highly overall correlated with 교육과정코드 and 6 other fieldsHigh correlation
자격구분코드 is highly imbalanced (74.1%)Imbalance
사용여부 is highly imbalanced (93.9%)Imbalance
교육기수일련번호 has 141 (45.8%) missing valuesMissing
교육과정코드 has 20 (6.5%) missing valuesMissing
교육과목코드 has 167 (54.2%) missing valuesMissing
과목코드 has 187 (60.7%) missing valuesMissing
교육시간 has 22 (7.1%) missing valuesMissing
응시자격코드 has 20 (6.5%) missing valuesMissing
교육시작일 has 141 (45.8%) missing valuesMissing
교육종료일 has 141 (45.8%) missing valuesMissing
사용여부 has 167 (54.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:51:46.386055
Analysis finished2023-12-12 05:51:53.596828
Duration7.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.5
Minimum1
Maximum308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:53.686108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.35
Q177.75
median154.5
Q3231.25
95-th percentile292.65
Maximum308
Range307
Interquartile range (IQR)153.5

Descriptive statistics

Standard deviation89.056162
Coefficient of variation (CV)0.57641529
Kurtosis-1.2
Mean154.5
Median Absolute Deviation (MAD)77
Skewness0
Sum47586
Variance7931
MonotonicityStrictly increasing
2023-12-12T14:51:53.857944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
204 1
 
0.3%
Other values (298) 298
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%

대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
교육관련_정보
308 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육관련_정보 308
100.0%

Length

2023-12-12T14:51:53.987876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:54.081969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육관련_정보 308
100.0%

영문_테이블명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
TB_LM1301
167 
TB_LM1042,44,46
121 
TB_LM1041
20 

Length

Max length15
Median length9
Mean length11.357143
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTB_LM1042,44,46
2nd rowTB_LM1042,44,46
3rd rowTB_LM1042,44,46
4th rowTB_LM1042,44,46
5th rowTB_LM1042,44,46

Common Values

ValueCountFrequency (%)
TB_LM1301 167
54.2%
TB_LM1042,44,46 121
39.3%
TB_LM1041 20
 
6.5%

Length

2023-12-12T14:51:54.217057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:54.318222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tb_lm1301 167
54.2%
tb_lm1042,44,46 121
39.3%
tb_lm1041 20
 
6.5%

한글_테이블명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
교육기수관리
167 
교육과정별과목
121 
과목정보
20 

Length

Max length7
Median length6
Mean length6.262987
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육기수관리 167
54.2%
교육과정별과목 121
39.3%
과목정보 20
 
6.5%

Length

2023-12-12T14:51:54.456659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:54.590550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육기수관리 167
54.2%
교육과정별과목 121
39.3%
과목정보 20
 
6.5%

교육기관코드
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
141 
4005
68 
5001
20 
2016
15 
8001
 
13
Other values (6)
51 

Length

Max length8
Median length4
Mean length4.2207792
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 141
45.8%
4005 68
22.1%
5001 20
 
6.5%
2016 15
 
4.9%
8001 13
 
4.2%
2012-E01 12
 
3.9%
7001 11
 
3.6%
3001 10
 
3.2%
9003 7
 
2.3%
9005 6
 
1.9%

Length

2023-12-12T14:51:54.728013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 141
45.8%
4005 68
22.1%
5001 20
 
6.5%
2016 15
 
4.9%
8001 13
 
4.2%
2012-e01 12
 
3.9%
7001 11
 
3.6%
3001 10
 
3.2%
9003 7
 
2.3%
9005 6
 
1.9%

교육기수일련번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct68
Distinct (%)40.7%
Missing141
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean18.652695
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:54.904635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q15
median10
Q326.5
95-th percentile61.7
Maximum70
Range69
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation19.513334
Coefficient of variation (CV)1.0461402
Kurtosis0.31887573
Mean18.652695
Median Absolute Deviation (MAD)7
Skewness1.2721194
Sum3115
Variance380.77022
MonotonicityNot monotonic
2023-12-12T14:51:55.100728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 10
 
3.2%
3 10
 
3.2%
2 10
 
3.2%
7 9
 
2.9%
1 9
 
2.9%
4 9
 
2.9%
6 9
 
2.9%
9 7
 
2.3%
8 7
 
2.3%
10 7
 
2.3%
Other values (58) 80
26.0%
(Missing) 141
45.8%
ValueCountFrequency (%)
1 9
2.9%
2 10
3.2%
3 10
3.2%
4 9
2.9%
5 10
3.2%
6 9
2.9%
7 9
2.9%
8 7
2.3%
9 7
2.3%
10 7
2.3%
ValueCountFrequency (%)
70 1
0.3%
69 1
0.3%
68 1
0.3%
67 1
0.3%
66 1
0.3%
65 1
0.3%
64 1
0.3%
63 1
0.3%
62 1
0.3%
61 1
0.3%

교육과정코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)16.0%
Missing20
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean20.4375
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:55.287769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median22.5
Q332
95-th percentile42
Maximum46
Range45
Interquartile range (IQR)28

Descriptive statistics

Standard deviation14.059465
Coefficient of variation (CV)0.68792489
Kurtosis-1.5080821
Mean20.4375
Median Absolute Deviation (MAD)13
Skewness0.033096462
Sum5886
Variance197.66855
MonotonicityNot monotonic
2023-12-12T14:51:55.447042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4 77
25.0%
31 25
 
8.1%
33 20
 
6.5%
28 15
 
4.9%
42 11
 
3.6%
41 10
 
3.2%
30 8
 
2.6%
32 8
 
2.6%
2 5
 
1.6%
12 5
 
1.6%
Other values (36) 104
33.8%
(Missing) 20
 
6.5%
ValueCountFrequency (%)
1 3
 
1.0%
2 5
 
1.6%
3 3
 
1.0%
4 77
25.0%
5 5
 
1.6%
6 2
 
0.6%
7 2
 
0.6%
8 3
 
1.0%
9 2
 
0.6%
10 2
 
0.6%
ValueCountFrequency (%)
46 2
 
0.6%
45 1
 
0.3%
44 2
 
0.6%
43 2
 
0.6%
42 11
3.6%
41 10
3.2%
40 2
 
0.6%
39 3
 
1.0%
38 3
 
1.0%
37 3
 
1.0%

교육과목구분코드
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
167 
LM021021
115 
LM018002
 
13
LM021012
 
5
LM018000
 
5
Other values (2)
 
3

Length

Max length8
Median length4
Mean length5.8311688
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowLM021021
2nd rowLM021021
3rd rowLM021021
4th rowLM021021
5th rowLM021021

Common Values

ValueCountFrequency (%)
<NA> 167
54.2%
LM021021 115
37.3%
LM018002 13
 
4.2%
LM021012 5
 
1.6%
LM018000 5
 
1.6%
LM018001 2
 
0.6%
LM021011 1
 
0.3%

Length

2023-12-12T14:51:55.646582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:55.832340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 167
54.2%
lm021021 115
37.3%
lm018002 13
 
4.2%
lm021012 5
 
1.6%
lm018000 5
 
1.6%
lm018001 2
 
0.6%
lm021011 1
 
0.3%

교육과목코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct58
Distinct (%)41.1%
Missing167
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean153.58156
Minimum5
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:55.982594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile21
Q128
median61
Q369
95-th percentile502
Maximum9999
Range9994
Interquartile range (IQR)41

Descriptive statistics

Standard deviation843.86815
Coefficient of variation (CV)5.4945929
Kurtosis135.07922
Mean153.58156
Median Absolute Deviation (MAD)29
Skewness11.510645
Sum21655
Variance712113.46
MonotonicityNot monotonic
2023-12-12T14:51:56.176472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 13
 
4.2%
61 11
 
3.6%
32 7
 
2.3%
22 7
 
2.3%
63 7
 
2.3%
68 7
 
2.3%
25 6
 
1.9%
67 5
 
1.6%
21 5
 
1.6%
27 5
 
1.6%
Other values (48) 68
22.1%
(Missing) 167
54.2%
ValueCountFrequency (%)
5 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
18 1
 
0.3%
19 2
 
0.6%
21 5
1.6%
22 7
2.3%
23 4
1.3%
24 1
 
0.3%
25 6
1.9%
ValueCountFrequency (%)
9999 1
0.3%
603 1
0.3%
602 1
0.3%
601 1
0.3%
505 1
0.3%
504 1
0.3%
503 1
0.3%
502 1
0.3%
501 1
0.3%
302 1
0.3%

교육과정(기수)명
Text

Distinct190
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T14:51:56.536631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.392857
Min length3

Characters and Unicode

Total characters3201
Distinct characters107
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)57.1%

Sample

1st row운전실무및모의운행훈련
2nd row현장실습교육
3rd row비상시조치등(기능)
4th row운전실무및모의운행훈련
5th row현장실습교육
ValueCountFrequency (%)
운전실무및모의운행훈련 40
 
13.0%
현장실습교육 39
 
12.7%
비상시조치등 18
 
5.8%
비상시조치등(기능 13
 
4.2%
철도관련법 4
 
1.3%
운전이론일반 2
 
0.6%
32기 2
 
0.6%
33기 2
 
0.6%
34기 2
 
0.6%
철도시스템일반 2
 
0.6%
Other values (180) 184
59.7%
2023-12-12T14:51:57.066672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 253
 
7.9%
2 215
 
6.7%
1 179
 
5.6%
0 133
 
4.2%
운 122
 
3.8%
실 99
 
3.1%
전 99
 
3.1%
- 96
 
3.0%
( 88
 
2.7%
) 88
 
2.7%
Other values (97) 1829
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2199
68.7%
Decimal Number 723
 
22.6%
Dash Punctuation 96
 
3.0%
Open Punctuation 88
 
2.7%
Close Punctuation 88
 
2.7%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 253
 
11.5%
운 122
 
5.5%
실 99
 
4.5%
전 99
 
4.5%
제 84
 
3.8%
장 55
 
2.5%
및 53
 
2.4%
종 50
 
2.3%
비 50
 
2.3%
련 49
 
2.2%
Other values (82) 1285
58.4%
Decimal Number
ValueCountFrequency (%)
2 215
29.7%
1 179
24.8%
0 133
18.4%
9 48
 
6.6%
8 48
 
6.6%
3 38
 
5.3%
4 25
 
3.5%
7 21
 
2.9%
5 9
 
1.2%
6 7
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 2
 
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2199
68.7%
Common 1002
31.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 253
 
11.5%
운 122
 
5.5%
실 99
 
4.5%
전 99
 
4.5%
제 84
 
3.8%
장 55
 
2.5%
및 53
 
2.4%
종 50
 
2.3%
비 50
 
2.3%
련 49
 
2.2%
Other values (82) 1285
58.4%
Common
ValueCountFrequency (%)
2 215
21.5%
1 179
17.9%
0 133
13.3%
- 96
9.6%
( 88
8.8%
) 88
8.8%
9 48
 
4.8%
8 48
 
4.8%
3 38
 
3.8%
4 25
 
2.5%
Other values (5) 44
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2199
68.7%
ASCII 1002
31.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 253
 
11.5%
운 122
 
5.5%
실 99
 
4.5%
전 99
 
4.5%
제 84
 
3.8%
장 55
 
2.5%
및 53
 
2.4%
종 50
 
2.3%
비 50
 
2.3%
련 49
 
2.2%
Other values (82) 1285
58.4%
ASCII
ValueCountFrequency (%)
2 215
21.5%
1 179
17.9%
0 133
13.3%
- 96
9.6%
( 88
8.8%
) 88
8.8%
9 48
 
4.8%
8 48
 
4.8%
3 38
 
3.8%
4 25
 
2.5%
Other values (5) 44
 
4.4%

설명
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
187 
전동차차장2년경력-제2종전기차량운전면허
 
8
철도건설및유지보수장비작업1년-철도장비
 
4
철도장비운전업무3년경력-디젤차량운전면허
 
3
제1종전기차량운전면허소지-고속철도차량
 
3
Other values (39)
103 

Length

Max length35
Median length4
Mean length12.327922
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row디젤차량운전면허소지(운전경력2년미만)-제1종전기차량운전면허
2nd row디젤차량운전면허소지(운전경력2년미만)-제1종전기차량운전면허
3rd row제1종전기차량운전면허소지(운전경력2년이상)-디젤차량운전면허
4th row제2종전기차량운전면허소지(운전경력2년이상)-제1종전기차량운전면허
5th row제2종전기차량운전면허소지(운전경력2년이상)-제1종전기차량운전면허

Common Values

ValueCountFrequency (%)
<NA> 187
60.7%
전동차차장2년경력-제2종전기차량운전면허 8
 
2.6%
철도건설및유지보수장비작업1년-철도장비 4
 
1.3%
철도장비운전업무3년경력-디젤차량운전면허 3
 
1.0%
제1종전기차량운전면허소지-고속철도차량 3
 
1.0%
철도차량운전업무보조1년경력-제2종전기차량운전면허 3
 
1.0%
철도장비운전업무3년경력-제1종전기차량운전면허 3
 
1.0%
철도차량운전업무보조1년경력-디젤차량운전면허 3
 
1.0%
일반응시-철도장비운전면허 3
 
1.0%
철도장비운전면허소지(과목면제자만)-제2종전기차량운전면허 3
 
1.0%
Other values (34) 88
28.6%

Length

2023-12-12T14:51:57.264128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 187
60.7%
전동차차장2년경력-제2종전기차량운전면허 8
 
2.6%
철도건설및유지보수장비작업1년-철도장비 4
 
1.3%
철도장비운전면허소지(과목면제자만)-제1종전기차량운전면허 3
 
1.0%
일반응시-디젤차량운전면허 3
 
1.0%
일반응시-제2종전기차량운전면허(철도관련대반 3
 
1.0%
철도장비운전면허소지(과목면제자만)-디젤차량운전면허 3
 
1.0%
철도관련업무3년경력-디젤차량운전면허 3
 
1.0%
장비운전2년경력-제2종전기차량운전면허 3
 
1.0%
철도차량운전업무보조1년경력-제1종전기차량운전면허 3
 
1.0%
Other values (34) 88
28.6%

과목코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)5.8%
Missing187
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean231.42149
Minimum101
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:57.409181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile103
Q1105
median301
Q3302
95-th percentile302
Maximum302
Range201
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.780338
Coefficient of variation (CV)0.40955721
Kurtosis-1.6525295
Mean231.42149
Median Absolute Deviation (MAD)1
Skewness-0.61211298
Sum28002
Variance8983.3125
MonotonicityNot monotonic
2023-12-12T14:51:57.528366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
301 39
 
12.7%
302 39
 
12.7%
105 32
 
10.4%
103 4
 
1.3%
102 3
 
1.0%
101 3
 
1.0%
104 1
 
0.3%
(Missing) 187
60.7%
ValueCountFrequency (%)
101 3
 
1.0%
102 3
 
1.0%
103 4
 
1.3%
104 1
 
0.3%
105 32
10.4%
301 39
12.7%
302 39
12.7%
ValueCountFrequency (%)
302 39
12.7%
301 39
12.7%
105 32
10.4%
104 1
 
0.3%
103 4
 
1.3%
102 3
 
1.0%
101 3
 
1.0%

교육시간
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct51
Distinct (%)17.8%
Missing22
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean245.8007
Minimum5
Maximum722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:57.660666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q135
median165
Q3410
95-th percentile708
Maximum722
Range717
Interquartile range (IQR)375

Descriptive statistics

Standard deviation231.92576
Coefficient of variation (CV)0.94355206
Kurtosis-0.71759945
Mean245.8007
Median Absolute Deviation (MAD)145
Skewness0.73380282
Sum70299
Variance53789.557
MonotonicityNot monotonic
2023-12-12T14:51:57.803701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410 50
16.2%
280 19
 
6.2%
35 17
 
5.5%
10 15
 
4.9%
20 14
 
4.5%
708 13
 
4.2%
7 11
 
3.6%
60 10
 
3.2%
30 9
 
2.9%
85 9
 
2.9%
Other values (41) 119
38.6%
(Missing) 22
 
7.1%
ValueCountFrequency (%)
5 2
 
0.6%
7 11
3.6%
8 1
 
0.3%
10 15
4.9%
15 1
 
0.3%
20 14
4.5%
28 6
 
1.9%
30 9
2.9%
35 17
5.5%
40 3
 
1.0%
ValueCountFrequency (%)
722 6
1.9%
708 13
4.2%
704 1
 
0.3%
702 1
 
0.3%
700 4
 
1.3%
688 7
2.3%
648 3
 
1.0%
602 3
 
1.0%
480 1
 
0.3%
472 2
 
0.6%

응시자격코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)5.9%
Missing20
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean6.5104167
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T14:51:57.918456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q313
95-th percentile16
Maximum18
Range17
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.6789755
Coefficient of variation (CV)0.87229063
Kurtosis-1.5164316
Mean6.5104167
Median Absolute Deviation (MAD)3
Skewness0.36643151
Sum1875
Variance32.250762
MonotonicityNot monotonic
2023-12-12T14:51:58.311901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 120
39.0%
13 39
 
12.7%
11 25
 
8.1%
16 15
 
4.9%
7 14
 
4.5%
4 11
 
3.6%
15 9
 
2.9%
5 9
 
2.9%
12 8
 
2.6%
14 8
 
2.6%
Other values (7) 30
 
9.7%
(Missing) 20
 
6.5%
ValueCountFrequency (%)
1 120
39.0%
2 7
 
2.3%
3 7
 
2.3%
4 11
 
3.6%
5 9
 
2.9%
7 14
 
4.5%
8 6
 
1.9%
9 3
 
1.0%
10 4
 
1.3%
11 25
 
8.1%
ValueCountFrequency (%)
18 2
 
0.6%
17 1
 
0.3%
16 15
 
4.9%
15 9
 
2.9%
14 8
 
2.6%
13 39
12.7%
12 8
 
2.6%
11 25
8.1%
10 4
 
1.3%
9 3
 
1.0%

면허종류코드
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
187 
3
37 
2
25 
4
25 
1
21 

Length

Max length4
Median length4
Mean length2.8214286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row4
4th row2
5th row2

Common Values

ValueCountFrequency (%)
<NA> 187
60.7%
3 37
 
12.0%
2 25
 
8.1%
4 25
 
8.1%
1 21
 
6.8%
5 13
 
4.2%

Length

2023-12-12T14:51:58.438972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:58.569622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
60.7%
3 37
 
12.0%
2 25
 
8.1%
4 25
 
8.1%
1 21
 
6.8%
5 13
 
4.2%

자격구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
288 
LM040001
 
12
LM040002
 
8

Length

Max length8
Median length4
Mean length4.2597403
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 288
93.5%
LM040001 12
 
3.9%
LM040002 8
 
2.6%

Length

2023-12-12T14:51:58.700417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:58.810202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
93.5%
lm040001 12
 
3.9%
lm040002 8
 
2.6%

업무분야코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
QM190001
148 
<NA>
141 
QM190004
 
14
QM190002
 
5

Length

Max length8
Median length8
Mean length6.1688312
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
QM190001 148
48.1%
<NA> 141
45.8%
QM190004 14
 
4.5%
QM190002 5
 
1.6%

Length

2023-12-12T14:51:58.938418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:59.046957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
qm190001 148
48.1%
na 141
45.8%
qm190004 14
 
4.5%
qm190002 5
 
1.6%

교육시작일
Date

MISSING 

Distinct107
Distinct (%)64.1%
Missing141
Missing (%)45.8%
Memory size2.5 KiB
Minimum2017-05-22 00:00:00
Maximum2020-07-13 00:00:00
2023-12-12T14:51:59.214032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:59.344313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료일
Date

MISSING 

Distinct128
Distinct (%)76.6%
Missing141
Missing (%)45.8%
Memory size2.5 KiB
Minimum2017-09-22 00:00:00
Maximum2020-10-16 00:00:00
2023-12-12T14:51:59.481824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:59.659402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)1.4%
Missing167
Missing (%)54.2%
Memory size748.0 B
True
140 
False
 
1
(Missing)
167 
ValueCountFrequency (%)
True 140
45.5%
False 1
 
0.3%
(Missing) 167
54.2%
2023-12-12T14:51:59.783580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T14:51:51.638767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:47.638001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.362812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.009440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.622633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.289142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.959648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.749787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:47.738697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.466818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.090163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.734732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.400393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.050418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:52.194577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:47.844672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.557495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.169566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.802896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.491901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.141787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:52.303537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:47.941109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.639573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.239400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.896767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.583728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.222868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:52.433282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.038253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.730968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.319127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.996625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.676573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.314346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:52.556516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.140911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.817579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.427763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.106586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.770911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.430916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:52.665297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.246646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:48.921153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:49.538544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.198516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:50.857190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:51.543747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:51:59.874483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영문_테이블명한글_테이블명교육기관코드교육기수일련번호교육과정코드교육과목구분코드교육과목코드설명과목코드교육시간응시자격코드면허종류코드자격구분코드업무분야코드사용여부
순번1.0000.9000.9000.0000.2600.6730.6020.0000.9860.1130.4960.6840.2400.0000.0000.000
영문_테이블명0.9001.0001.000NaNNaN0.7311.0000.033NaNNaN0.7470.721NaNNaNNaN0.033
한글_테이블명0.9001.0001.000NaNNaN0.7311.0000.033NaNNaN0.7470.721NaNNaNNaN0.033
교육기관코드0.000NaNNaN1.0000.5740.673NaNNaNNaNNaN0.8080.693NaNNaN0.208NaN
교육기수일련번호0.260NaNNaN0.5741.0000.451NaNNaNNaNNaN0.4890.469NaNNaN0.329NaN
교육과정코드0.6730.7310.7310.6730.4511.0000.383NaN1.0000.3300.6580.9690.622NaN0.587NaN
교육과목구분코드0.6021.0001.000NaNNaN0.3831.0000.2640.0000.1710.0000.7470.1250.335NaN0.264
교육과목코드0.0000.0330.033NaNNaNNaN0.2641.000NaNNaNNaNNaNNaN0.000NaN0.697
설명0.986NaNNaNNaNNaN1.0000.000NaN1.0000.0000.0001.0001.000NaNNaNNaN
과목코드0.113NaNNaNNaNNaN0.3300.171NaN0.0001.0000.3630.2450.000NaNNaNNaN
교육시간0.4960.7470.7470.8080.4890.6580.000NaN0.0000.3631.0000.6470.254NaN0.913NaN
응시자격코드0.6840.7210.7210.6930.4690.9690.747NaN1.0000.2450.6471.0000.490NaN0.846NaN
면허종류코드0.240NaNNaNNaNNaN0.6220.125NaN1.0000.0000.2540.4901.000NaNNaNNaN
자격구분코드0.000NaNNaNNaNNaNNaN0.3350.000NaNNaNNaNNaNNaN1.000NaN0.000
업무분야코드0.000NaNNaN0.2080.3290.587NaNNaNNaNNaN0.9130.846NaNNaN1.000NaN
사용여부0.0000.0330.033NaNNaNNaN0.2640.697NaNNaNNaNNaNNaN0.000NaN1.000
2023-12-12T14:52:00.095603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설명영문_테이블명교육과목구분코드한글_테이블명사용여부자격구분코드교육기관코드면허종류코드업무분야코드
설명1.0001.0000.0001.0001.000NaNNaN0.820NaN
영문_테이블명1.0001.0000.9861.0000.0201.0001.0001.0001.000
교육과목구분코드0.0000.9861.0000.9860.1870.518NaN0.092NaN
한글_테이블명1.0001.0000.9861.0000.0201.0001.0001.0001.000
사용여부1.0000.0200.1870.0201.0000.000NaN1.000NaN
자격구분코드NaN1.0000.5181.0000.0001.000NaNNaNNaN
교육기관코드NaN1.000NaN1.000NaNNaN1.000NaN0.122
면허종류코드0.8201.0000.0921.0001.000NaNNaN1.000NaN
업무분야코드NaN1.000NaN1.000NaNNaN0.122NaN1.000
2023-12-12T14:52:00.279220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번교육기수일련번호교육과정코드교육과목코드과목코드교육시간응시자격코드영문_테이블명한글_테이블명교육기관코드교육과목구분코드설명면허종류코드자격구분코드업무분야코드사용여부
순번1.0000.074-0.0470.373-0.0930.625-0.2440.8420.8420.0000.4600.7540.1960.0000.0000.000
교육기수일련번호0.0741.0000.356NaNNaN-0.5320.3831.0001.0000.2080.0000.0000.0000.0000.2040.000
교육과정코드-0.0470.3561.0000.011-0.119-0.3720.8060.5230.5230.4340.2930.8380.2860.0000.7041.000
교육과목코드0.373NaN0.0111.0000.411-0.114-0.0120.0200.0200.0000.1871.0001.0000.0000.0000.491
과목코드-0.093NaN-0.1190.4111.000-0.011-0.1251.0001.0000.0000.2800.0000.0000.0000.0001.000
교육시간0.625-0.532-0.372-0.114-0.0111.000-0.5580.7530.7530.5380.0000.0000.2080.0000.6461.000
응시자격코드-0.2440.3830.806-0.012-0.125-0.5581.0000.5560.5560.4400.4390.8350.3040.0000.8101.000
영문_테이블명0.8421.0000.5230.0201.0000.7530.5561.0001.0001.0000.9861.0001.0001.0001.0000.020
한글_테이블명0.8421.0000.5230.0201.0000.7530.5561.0001.0001.0000.9861.0001.0001.0001.0000.020
교육기관코드0.0000.2080.4340.0000.0000.5380.4401.0001.0001.0000.0000.0000.0000.0000.1220.000
교육과목구분코드0.4600.0000.2930.1870.2800.0000.4390.9860.9860.0001.0000.0000.0920.5180.0000.187
설명0.7540.0000.8381.0000.0000.0000.8351.0001.0000.0000.0001.0000.8200.0000.0001.000
면허종류코드0.1960.0000.2861.0000.0000.2080.3041.0001.0000.0000.0920.8201.0000.0000.0001.000
자격구분코드0.0000.0000.0000.0000.0000.0000.0001.0001.0000.0000.5180.0000.0001.0000.0000.000
업무분야코드0.0000.2040.7040.0000.0000.6460.8101.0001.0000.1220.0000.0000.0000.0001.0000.000
사용여부0.0000.0001.0000.4911.0001.0001.0000.0200.0200.0000.1871.0001.0000.0000.0001.000

Missing values

2023-12-12T14:51:52.848243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:51:53.147302image/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.
2023-12-12T14:51:53.410547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번대분류영문_테이블명한글_테이블명교육기관코드교육기수일련번호교육과정코드교육과목구분코드교육과목코드교육과정(기수)명설명과목코드교육시간응시자격코드면허종류코드자격구분코드업무분야코드교육시작일교육종료일사용여부
01교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>6LM02102125운전실무및모의운행훈련디젤차량운전면허소지(운전경력2년미만)-제1종전기차량운전면허3012822<NA><NA><NA><NA>Y
12교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>6LM02102161현장실습교육디젤차량운전면허소지(운전경력2년미만)-제1종전기차량운전면허302722<NA><NA><NA><NA>Y
23교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>43LM02102171비상시조치등(기능)제1종전기차량운전면허소지(운전경력2년이상)-디젤차량운전면허10510144<NA><NA><NA><NA>Y
34교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>40LM02102128운전실무및모의운행훈련제2종전기차량운전면허소지(운전경력2년이상)-제1종전기차량운전면허30163162<NA><NA><NA><NA>Y
45교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>40LM02102161현장실습교육제2종전기차량운전면허소지(운전경력2년이상)-제1종전기차량운전면허3027162<NA><NA><NA><NA>Y
56교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>37LM02102122비상시조치등철도장비운전면허소지(일반응시-5과목)-제1종전기차량운전면허10530152<NA><NA><NA><NA>Y
67교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>37LM02102133운전실무및모의운행훈련철도장비운전면허소지(일반응시-5과목)-제1종전기차량운전면허301180152<NA><NA><NA><NA>Y
78교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>37LM02102167현장실습교육철도장비운전면허소지(일반응시-5과목)-제1종전기차량운전면허30250152<NA><NA><NA><NA>Y
89교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>1LM02102132운전실무및모의운행훈련일반응시-고속철도차량운전면허30117511<NA><NA><NA><NA>Y
910교육관련_정보TB_LM1042,44,46교육과정별과목<NA><NA>1LM02102168현장실습교육일반응시-고속철도차량운전면허3029511<NA><NA><NA><NA>Y
순번대분류영문_테이블명한글_테이블명교육기관코드교육기수일련번호교육과정코드교육과목구분코드교육과목코드교육과정(기수)명설명과목코드교육시간응시자격코드면허종류코드자격구분코드업무분야코드교육시작일교육종료일사용여부
298299교육관련_정보TB_LM1301교육기수관리800144<NA><NA>2018년제1기<NA><NA>4101<NA><NA>QM1900012018-02-262018-06-29<NA>
299300교육관련_정보TB_LM1301교육기수관리5001631<NA><NA>36기<NA><NA>4101<NA><NA>QM1900012018-02-262018-07-02<NA>
300301교육관련_정보TB_LM1301교육기수관리900364<NA><NA>2019일반23기<NA><NA>7001<NA><NA>QM1900012019-02-272019-07-05<NA>
301302교육관련_정보TB_LM1301교육기수관리40054544<NA><NA>20191기관제사(재직신규자)<NA><NA>3601<NA><NA>QM1900022019-04-152019-07-17<NA>
302303교육관련_정보TB_LM1301교육기수관리40054628<NA><NA>20191기철도장비(경력자)<NA><NA>8511<NA><NA>QM1900042019-06-172019-07-25<NA>
303304교육관련_정보TB_LM1301교육기수관리40054918<NA><NA>20191기디젤(경력자)<NA><NA>1007<NA><NA>QM1900012019-07-082019-08-30<NA>
304305교육관련_정보TB_LM1301교육기수관리4005632<NA><NA>20191기디젤(일반인)<NA><NA>4701<NA><NA>QM1900012019-12-092020-03-04<NA>
305306교육관련_정보TB_LM1301교육기수관리20190318431<NA><NA>제4기기능반<NA><NA>4161<NA><NA>QM1900012019-12-162020-02-28<NA>
306307교육관련_정보TB_LM1301교육기수관리2012-E01134<NA><NA>34기<NA><NA>4101<NA><NA>QM1900012020-04-062020-10-16<NA>
307308교육관련_정보TB_LM1301교육기수관리5001184<NA><NA>48기<NA><NA>4101<NA><NA>QM1900012019-11-182020-04-01<NA>