Overview

Dataset statistics

Number of variables16
Number of observations1204
Missing cells0
Missing cells (%)0.0%
Duplicate rows56
Duplicate rows (%)4.7%
Total size in memory154.2 KiB
Average record size in memory131.1 B

Variable types

Categorical9
Numeric3
Text4

Dataset

Description한국보건복지인재원 비대면(교육방식) 교육의 운영정보 및 계획 정보 제공 (과정명, 교육기간, 교육대상, 교육방식, 교육시간, 계획인원, 권역구분 등의 항목 제공) 단, 계획이므로 변동될 수 있음
Author한국보건복지인재원
URLhttps://www.data.go.kr/data/15086198/fileData.do

Alerts

교육방식 has constant value ""Constant
Dataset has 56 (4.7%) duplicate rowsDuplicates
세부교육분야 is highly overall correlated with 교육재원 and 3 other fieldsHigh correlation
본부 is highly overall correlated with 기수 and 6 other fieldsHigh correlation
부서 is highly overall correlated with 교육재원 and 4 other fieldsHigh correlation
분야 is highly overall correlated with 교육재원 and 4 other fieldsHigh correlation
기수 is highly overall correlated with 본부High correlation
교육일수 is highly overall correlated with 교육시간High correlation
계획인원 is highly overall correlated with 본부 and 1 other fieldsHigh correlation
교육재원 is highly overall correlated with 교육대상 and 4 other fieldsHigh correlation
교육대상 is highly overall correlated with 교육재원High correlation
교육시간 is highly overall correlated with 교육일수 and 4 other fieldsHigh correlation
권역구분 is highly overall correlated with 본부 and 1 other fieldsHigh correlation
교육대상 is highly imbalanced (59.4%)Imbalance

Reproduction

Analysis started2023-12-12 11:03:38.411302
Analysis finished2023-12-12 11:03:42.769619
Duration4.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
라이브
1204 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
라이브 1204
100.0%

Length

2023-12-12T20:03:42.884643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:43.034032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
라이브 1204
100.0%

교육재원
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
민경
813 
출연
157 
수탁
150 
자체
84 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민경 813
67.5%
출연 157
 
13.0%
수탁 150
 
12.5%
자체 84
 
7.0%

Length

2023-12-12T20:03:43.190474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:43.350101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민경 813
67.5%
출연 157
 
13.0%
수탁 150
 
12.5%
자체 84
 
7.0%

교육대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
민간
868 
공무원
211 
공·민
 
54
공무원+민간
 
29
민간
 
16
Other values (5)
 
26

Length

Max length6
Median length2
Mean length2.3903654
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
민간 868
72.1%
공무원 211
 
17.5%
공·민 54
 
4.5%
공무원+민간 29
 
2.4%
민간 16
 
1.3%
공무원 14
 
1.2%
공무원 7
 
0.6%
공무직+민간 3
 
0.2%
공무직 1
 
0.1%
공·민 1
 
0.1%

Length

2023-12-12T20:03:44.058200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:44.230568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 884
73.4%
공무원 232
 
19.3%
공·민 55
 
4.6%
공무원+민간 29
 
2.4%
공무직+민간 3
 
0.2%
공무직 1
 
0.1%

기수
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.783223
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2023-12-12T20:03:44.455974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q317
95-th percentile35
Maximum42
Range41
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.175187
Coefficient of variation (CV)1.0363495
Kurtosis-0.045349824
Mean10.783223
Median Absolute Deviation (MAD)5
Skewness1.070721
Sum12983
Variance124.88481
MonotonicityNot monotonic
2023-12-12T20:03:44.674614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 256
21.3%
2 157
 
13.0%
3 82
 
6.8%
4 55
 
4.6%
5 46
 
3.8%
6 37
 
3.1%
8 36
 
3.0%
9 31
 
2.6%
12 26
 
2.2%
10 25
 
2.1%
Other values (32) 453
37.6%
ValueCountFrequency (%)
1 256
21.3%
2 157
13.0%
3 82
 
6.8%
4 55
 
4.6%
5 46
 
3.8%
6 37
 
3.1%
7 24
 
2.0%
8 36
 
3.0%
9 31
 
2.6%
10 25
 
2.1%
ValueCountFrequency (%)
42 2
 
0.2%
41 4
 
0.3%
40 4
 
0.3%
39 7
0.6%
38 11
0.9%
37 12
1.0%
36 12
1.0%
35 12
1.0%
34 11
0.9%
33 12
1.0%

과정명
Text

Distinct265
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T20:03:44.966297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length10.785714
Min length6

Characters and Unicode

Total characters12986
Distinct characters335
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)9.2%

Sample

1st row노인보호전문상담원기본과정
2nd row노인상담사례관리기본과정
3rd row노인상담사례관리기본과정
4th row노인상담사례관리기본과정
5th row노인장기요양기관최고관리자역량강화과정
ValueCountFrequency (%)
사회복지과정 307
25.4%
일반심화과정 161
 
13.3%
사회복지공무원보조과정 43
 
3.6%
아동심화과정 40
 
3.3%
지역복지핵심인재현장주도학습 25
 
2.1%
보건의료과정 17
 
1.4%
발달장애인지원현장주도학습과정 15
 
1.2%
드림스타트전문화과정(사례관리사 12
 
1.0%
사례로학습하는기초생활보장실무심화 12
 
1.0%
의료관련감염관리기본과정 11
 
0.9%
Other values (260) 566
46.8%
2023-12-12T20:03:45.673349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 1106
 
8.5%
과 1087
 
8.4%
사 660
 
5.1%
지 558
 
4.3%
복 447
 
3.4%
회 445
 
3.4%
화 410
 
3.2%
심 337
 
2.6%
일 183
 
1.4%
기 180
 
1.4%
Other values (325) 7573
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12480
96.1%
Uppercase Letter 120
 
0.9%
Close Punctuation 91
 
0.7%
Open Punctuation 83
 
0.6%
Decimal Number 73
 
0.6%
Lowercase Letter 59
 
0.5%
Dash Punctuation 34
 
0.3%
Other Punctuation 29
 
0.2%
Letter Number 12
 
0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 1106
 
8.9%
과 1087
 
8.7%
사 660
 
5.3%
지 558
 
4.5%
복 447
 
3.6%
회 445
 
3.6%
화 410
 
3.3%
심 337
 
2.7%
일 183
 
1.5%
기 180
 
1.4%
Other values (275) 7067
56.6%
Lowercase Letter
ValueCountFrequency (%)
t 9
15.3%
a 8
13.6%
b 7
11.9%
e 6
10.2%
k 5
8.5%
l 4
 
6.8%
n 4
 
6.8%
i 2
 
3.4%
j 2
 
3.4%
c 2
 
3.4%
Other values (6) 10
16.9%
Uppercase Letter
ValueCountFrequency (%)
C 16
13.3%
I 15
12.5%
P 15
12.5%
D 14
11.7%
G 13
10.8%
M 11
9.2%
Q 9
7.5%
O 8
6.7%
H 5
 
4.2%
R 5
 
4.2%
Other values (4) 9
7.5%
Decimal Number
ValueCountFrequency (%)
1 18
24.7%
2 16
21.9%
3 14
19.2%
0 6
 
8.2%
6 5
 
6.8%
4 4
 
5.5%
5 4
 
5.5%
8 4
 
5.5%
9 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 15
51.7%
: 5
 
17.2%
· 4
 
13.8%
& 4
 
13.8%
/ 1
 
3.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 5
41.7%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12477
96.1%
Common 315
 
2.4%
Latin 191
 
1.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 1106
 
8.9%
과 1087
 
8.7%
사 660
 
5.3%
지 558
 
4.5%
복 447
 
3.6%
회 445
 
3.6%
화 410
 
3.3%
심 337
 
2.7%
일 183
 
1.5%
기 180
 
1.4%
Other values (272) 7064
56.6%
Latin
ValueCountFrequency (%)
C 16
 
8.4%
I 15
 
7.9%
P 15
 
7.9%
D 14
 
7.3%
G 13
 
6.8%
M 11
 
5.8%
Q 9
 
4.7%
t 9
 
4.7%
a 8
 
4.2%
O 8
 
4.2%
Other values (22) 73
38.2%
Common
ValueCountFrequency (%)
) 91
28.9%
( 83
26.3%
- 34
 
10.8%
1 18
 
5.7%
2 16
 
5.1%
, 15
 
4.8%
3 14
 
4.4%
0 6
 
1.9%
5
 
1.6%
: 5
 
1.6%
Other values (8) 28
 
8.9%
Han
ValueCountFrequency (%)
福 1
33.3%
書 1
33.3%
院 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12476
96.1%
ASCII 490
 
3.8%
Number Forms 12
 
0.1%
None 4
 
< 0.1%
CJK 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 1106
 
8.9%
과 1087
 
8.7%
사 660
 
5.3%
지 558
 
4.5%
복 447
 
3.6%
회 445
 
3.6%
화 410
 
3.3%
심 337
 
2.7%
일 183
 
1.5%
기 180
 
1.4%
Other values (271) 7063
56.6%
ASCII
ValueCountFrequency (%)
) 91
18.6%
( 83
16.9%
- 34
 
6.9%
1 18
 
3.7%
2 16
 
3.3%
C 16
 
3.3%
I 15
 
3.1%
, 15
 
3.1%
P 15
 
3.1%
3 14
 
2.9%
Other values (37) 173
35.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 5
41.7%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
福 1
33.3%
書 1
33.3%
院 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

실과정명
Text

Distinct414
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T20:03:45.969415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length12.110465
Min length6

Characters and Unicode

Total characters14581
Distinct characters348
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)16.4%

Sample

1st row노인보호전문상담원기본과정
2nd row노인상담사례관리기본과정
3rd row노인상담사례관리기본과정
4th row노인상담사례관리기본과정
5th row노인장기요양기관최고관리자역량강화과정
ValueCountFrequency (%)
사회복지과정 192
 
15.9%
일반심화과정 70
 
5.8%
지역복지핵심인재현장주도학습 25
 
2.1%
사회복지공무원보조과정 20
 
1.7%
사례로학습하는기초생활보장실무심화 12
 
1.0%
드림스타트전문화과정(사례관리사 12
 
1.0%
의료관련감염관리기본과정 11
 
0.9%
찾아가는복지팀장과정 11
 
0.9%
아동심화과정 10
 
0.8%
글로벌헬스케어직업탐색과정 10
 
0.8%
Other values (409) 836
69.1%
2023-12-12T20:03:46.495347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 1106
 
7.6%
과 1086
 
7.4%
사 669
 
4.6%
지 557
 
3.8%
복 443
 
3.0%
회 438
 
3.0%
화 413
 
2.8%
반 393
 
2.7%
) 367
 
2.5%
( 359
 
2.5%
Other values (338) 8750
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12911
88.5%
Decimal Number 669
 
4.6%
Close Punctuation 367
 
2.5%
Open Punctuation 359
 
2.5%
Uppercase Letter 126
 
0.9%
Lowercase Letter 59
 
0.4%
Dash Punctuation 43
 
0.3%
Other Punctuation 30
 
0.2%
Letter Number 12
 
0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 1106
 
8.6%
과 1086
 
8.4%
사 669
 
5.2%
지 557
 
4.3%
복 443
 
3.4%
회 438
 
3.4%
화 413
 
3.2%
반 393
 
3.0%
심 346
 
2.7%
일 191
 
1.5%
Other values (286) 7269
56.3%
Lowercase Letter
ValueCountFrequency (%)
t 9
15.3%
a 8
13.6%
b 7
11.9%
e 6
10.2%
k 5
8.5%
l 4
 
6.8%
n 4
 
6.8%
i 2
 
3.4%
r 2
 
3.4%
o 2
 
3.4%
Other values (6) 10
16.9%
Uppercase Letter
ValueCountFrequency (%)
C 19
15.1%
P 15
11.9%
I 15
11.9%
D 14
11.1%
G 13
10.3%
M 11
8.7%
Q 9
7.1%
O 8
6.3%
H 5
 
4.0%
R 5
 
4.0%
Other values (5) 12
9.5%
Decimal Number
ValueCountFrequency (%)
1 323
48.3%
2 121
 
18.1%
3 49
 
7.3%
4 36
 
5.4%
5 30
 
4.5%
6 29
 
4.3%
8 22
 
3.3%
9 20
 
3.0%
0 20
 
3.0%
7 19
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 15
50.0%
: 5
 
16.7%
& 4
 
13.3%
· 4
 
13.3%
/ 2
 
6.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 5
41.7%
Close Punctuation
ValueCountFrequency (%)
) 367
100.0%
Open Punctuation
ValueCountFrequency (%)
( 359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12908
88.5%
Common 1473
 
10.1%
Latin 197
 
1.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 1106
 
8.6%
과 1086
 
8.4%
사 669
 
5.2%
지 557
 
4.3%
복 443
 
3.4%
회 438
 
3.4%
화 413
 
3.2%
반 393
 
3.0%
심 346
 
2.7%
일 191
 
1.5%
Other values (283) 7266
56.3%
Latin
ValueCountFrequency (%)
C 19
 
9.6%
P 15
 
7.6%
I 15
 
7.6%
D 14
 
7.1%
G 13
 
6.6%
M 11
 
5.6%
t 9
 
4.6%
Q 9
 
4.6%
a 8
 
4.1%
O 8
 
4.1%
Other values (23) 76
38.6%
Common
ValueCountFrequency (%)
) 367
24.9%
( 359
24.4%
1 323
21.9%
2 121
 
8.2%
3 49
 
3.3%
- 43
 
2.9%
4 36
 
2.4%
5 30
 
2.0%
6 29
 
2.0%
8 22
 
1.5%
Other values (9) 94
 
6.4%
Han
ValueCountFrequency (%)
福 1
33.3%
書 1
33.3%
院 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12907
88.5%
ASCII 1654
 
11.3%
Number Forms 12
 
0.1%
None 4
 
< 0.1%
CJK 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 1106
 
8.6%
과 1086
 
8.4%
사 669
 
5.2%
지 557
 
4.3%
복 443
 
3.4%
회 438
 
3.4%
화 413
 
3.2%
반 393
 
3.0%
심 346
 
2.7%
일 191
 
1.5%
Other values (282) 7265
56.3%
ASCII
ValueCountFrequency (%)
) 367
22.2%
( 359
21.7%
1 323
19.5%
2 121
 
7.3%
3 49
 
3.0%
- 43
 
2.6%
4 36
 
2.2%
5 30
 
1.8%
6 29
 
1.8%
8 22
 
1.3%
Other values (39) 275
16.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
58.3%
Ⅰ 5
41.7%
None
ValueCountFrequency (%)
· 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
福 1
33.3%
書 1
33.3%
院 1
33.3%

본부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
복지인재양성본부
838 
보건인재양성본부
366 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복지인재양성본부 838
69.6%
보건인재양성본부 366
30.4%

Length

2023-12-12T20:03:46.728438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:46.915631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지인재양성본부 838
69.6%
보건인재양성본부 366
30.4%

부서
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
복지행정교육부
150 
서울교육센터
145 
경인교육센터
119 
제약의료기기화장품교육단
108 
건강증진교육부
97 
Other values (13)
585 

Length

Max length12
Median length10
Mean length7.1594684
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복지행정교육부 150
12.5%
서울교육센터 145
12.0%
경인교육센터 119
9.9%
제약의료기기화장품교육단 108
9.0%
건강증진교육부 97
8.1%
광주교육센터 88
7.3%
대전교육센터 81
 
6.7%
부산교육센터 78
 
6.5%
사회서비스교육부 76
 
6.3%
대구교육센터 57
 
4.7%
Other values (8) 205
17.0%

Length

2023-12-12T20:03:47.103442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
복지행정교육부 150
12.5%
서울교육센터 145
12.0%
경인교육센터 119
9.9%
제약의료기기화장품교육단 108
9.0%
건강증진교육부 97
8.1%
광주교육센터 88
7.3%
대전교육센터 81
 
6.7%
부산교육센터 78
 
6.5%
사회서비스교육부 76
 
6.3%
대구교육센터 57
 
4.7%
Other values (8) 205
17.0%

분야
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
특화교육
573 
사회복지
233 
보건생명
196 
보건산업
167 
리더십역량
 
31
Other values (2)
 
4

Length

Max length5
Median length4
Mean length4.0290698
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
특화교육 573
47.6%
사회복지 233
19.4%
보건생명 196
 
16.3%
보건산업 167
 
13.9%
리더십역량 31
 
2.6%
보건생명 3
 
0.2%
사회복지 1
 
0.1%

Length

2023-12-12T20:03:47.350701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:47.562544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특화교육 573
47.6%
사회복지 234
19.4%
보건생명 199
 
16.5%
보건산업 167
 
13.9%
리더십역량 31
 
2.6%

세부교육분야
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
사회복무기본
367 
사회복무심화
201 
복지행정
118 
건강증진
79 
제약
52 
Other values (21)
387 

Length

Max length7
Median length6
Mean length5.0240864
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
사회복무기본 367
30.5%
사회복무심화 201
16.7%
복지행정 118
 
9.8%
건강증진 79
 
6.6%
제약 52
 
4.3%
질병관리 48
 
4.0%
사회서비스 47
 
3.9%
글로벌헬스케어 45
 
3.7%
아동복지 45
 
3.7%
중앙부처 26
 
2.2%
Other values (16) 176
14.6%

Length

2023-12-12T20:03:47.793564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회복무기본 367
30.5%
사회복무심화 201
16.7%
복지행정 118
 
9.8%
건강증진 79
 
6.6%
제약 52
 
4.3%
질병관리 48
 
4.0%
사회서비스 47
 
3.9%
글로벌헬스케어 45
 
3.7%
아동복지 45
 
3.7%
중앙부처 26
 
2.2%
Other values (16) 176
14.6%

교육기간(시작)
Text

Distinct209
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T20:03:48.200312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.4202658
Min length2

Characters and Unicode

Total characters11342
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)3.6%

Sample

1st row2021-04-19
2nd row2021-04-28
3rd row2021-06-02
4th row2021-10-13
5th row2021-04-08
ValueCountFrequency (%)
미정 77
 
6.4%
2021-06-10 23
 
1.9%
2021-08-30 22
 
1.8%
2021-07-05 22
 
1.8%
2021-07-12 20
 
1.7%
2021-06-03 20
 
1.7%
2021-05-20 18
 
1.5%
2021-05-13 17
 
1.4%
2021-09-13 17
 
1.4%
2021-06-17 17
 
1.4%
Other values (199) 951
79.0%
2023-12-12T20:03:48.857924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2784
24.5%
0 2590
22.8%
- 2242
19.8%
1 1908
16.8%
6 277
 
2.4%
3 274
 
2.4%
4 249
 
2.2%
8 238
 
2.1%
7 227
 
2.0%
5 209
 
1.8%
Other values (5) 344
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8938
78.8%
Dash Punctuation 2242
 
19.8%
Other Letter 158
 
1.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2784
31.1%
0 2590
29.0%
1 1908
21.3%
6 277
 
3.1%
3 274
 
3.1%
4 249
 
2.8%
8 238
 
2.7%
7 227
 
2.5%
5 209
 
2.3%
9 182
 
2.0%
Other Letter
ValueCountFrequency (%)
미 79
50.0%
정 79
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11184
98.6%
Hangul 158
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2784
24.9%
0 2590
23.2%
- 2242
20.0%
1 1908
17.1%
6 277
 
2.5%
3 274
 
2.4%
4 249
 
2.2%
8 238
 
2.1%
7 227
 
2.0%
5 209
 
1.9%
Other values (3) 186
 
1.7%
Hangul
ValueCountFrequency (%)
미 79
50.0%
정 79
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11184
98.6%
Hangul 158
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2784
24.9%
0 2590
23.2%
- 2242
20.0%
1 1908
17.1%
6 277
 
2.5%
3 274
 
2.4%
4 249
 
2.2%
8 238
 
2.1%
7 227
 
2.0%
5 209
 
1.9%
Other values (3) 186
 
1.7%
Hangul
ValueCountFrequency (%)
미 79
50.0%
정 79
50.0%

교육기간(종료)
Text

Distinct197
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T20:03:49.300833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.4136213
Min length2

Characters and Unicode

Total characters11334
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.2%

Sample

1st row2021-04-23
2nd row2021-04-29
3rd row2021-06-03
4th row2021-10-14
5th row2021-04-09
ValueCountFrequency (%)
미정 78
 
6.5%
2021-06-04 29
 
2.4%
2021-06-11 23
 
1.9%
2021-06-18 21
 
1.7%
2021-05-21 19
 
1.6%
2021-05-14 19
 
1.6%
2021-04-30 18
 
1.5%
2021-04-23 18
 
1.5%
2021-06-25 17
 
1.4%
2021-04-27 16
 
1.3%
Other values (187) 946
78.6%
2023-12-12T20:03:49.939420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2805
24.7%
0 2562
22.6%
- 2240
19.8%
1 1906
16.8%
6 293
 
2.6%
4 259
 
2.3%
3 257
 
2.3%
7 232
 
2.0%
9 215
 
1.9%
5 210
 
1.9%
Other values (5) 355
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8930
78.8%
Dash Punctuation 2240
 
19.8%
Other Letter 160
 
1.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2805
31.4%
0 2562
28.7%
1 1906
21.3%
6 293
 
3.3%
4 259
 
2.9%
3 257
 
2.9%
7 232
 
2.6%
9 215
 
2.4%
5 210
 
2.4%
8 191
 
2.1%
Other Letter
ValueCountFrequency (%)
미 80
50.0%
정 80
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11174
98.6%
Hangul 160
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2805
25.1%
0 2562
22.9%
- 2240
20.0%
1 1906
17.1%
6 293
 
2.6%
4 259
 
2.3%
3 257
 
2.3%
7 232
 
2.1%
9 215
 
1.9%
5 210
 
1.9%
Other values (3) 195
 
1.7%
Hangul
ValueCountFrequency (%)
미 80
50.0%
정 80
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11174
98.6%
Hangul 160
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2805
25.1%
0 2562
22.9%
- 2240
20.0%
1 1906
17.1%
6 293
 
2.6%
4 259
 
2.3%
3 257
 
2.3%
7 232
 
2.1%
9 215
 
1.9%
5 210
 
1.9%
Other values (3) 195
 
1.7%
Hangul
ValueCountFrequency (%)
미 80
50.0%
정 80
50.0%

교육일수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1827243
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2023-12-12T20:03:50.143729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum17
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.339905
Coefficient of variation (CV)0.61386822
Kurtosis24.640219
Mean2.1827243
Median Absolute Deviation (MAD)1
Skewness3.3002121
Sum2628
Variance1.7953455
MonotonicityNot monotonic
2023-12-12T20:03:50.328607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 492
40.9%
1 390
32.4%
4 183
 
15.2%
3 113
 
9.4%
5 18
 
1.5%
10 3
 
0.2%
14 2
 
0.2%
9 2
 
0.2%
17 1
 
0.1%
ValueCountFrequency (%)
1 390
32.4%
2 492
40.9%
3 113
 
9.4%
4 183
 
15.2%
5 18
 
1.5%
9 2
 
0.2%
10 3
 
0.2%
14 2
 
0.2%
17 1
 
0.1%
ValueCountFrequency (%)
17 1
 
0.1%
14 2
 
0.2%
10 3
 
0.2%
9 2
 
0.2%
5 18
 
1.5%
4 183
 
15.2%
3 113
 
9.4%
2 492
40.9%
1 390
32.4%

교육시간
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
12
277 
24
174 
5
154 
16
133 
4
66 
Other values (30)
400 

Length

Max length3
Median length2
Mean length1.6943522
Min length1

Unique

Unique9 ?
Unique (%)0.7%

Sample

1st row36
2nd row15
3rd row15
4th row15
5th row12

Common Values

ValueCountFrequency (%)
12 277
23.0%
24 174
14.5%
5 154
12.8%
16 133
11.0%
4 66
 
5.5%
6 55
 
4.6%
14 50
 
4.2%
8 47
 
3.9%
20 45
 
3.7%
21 34
 
2.8%
Other values (25) 169
14.0%

Length

2023-12-12T20:03:50.549589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12 277
23.0%
24 174
14.5%
5 154
12.8%
16 133
11.0%
4 66
 
5.5%
6 55
 
4.6%
14 50
 
4.2%
8 47
 
3.9%
20 45
 
3.7%
21 34
 
2.8%
Other values (25) 169
14.0%

계획인원
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.664452
Minimum10
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2023-12-12T20:03:50.759836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15.15
Q130
median45
Q346
95-th percentile75
Maximum250
Range240
Interquartile range (IQR)16

Descriptive statistics

Standard deviation26.900766
Coefficient of variation (CV)0.63051944
Kurtosis32.993613
Mean42.664452
Median Absolute Deviation (MAD)5
Skewness4.8824064
Sum51368
Variance723.65124
MonotonicityNot monotonic
2023-12-12T20:03:50.976536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
45 346
28.7%
30 206
17.1%
50 113
 
9.4%
46 99
 
8.2%
20 76
 
6.3%
25 69
 
5.7%
40 63
 
5.2%
10 44
 
3.7%
43 24
 
2.0%
60 22
 
1.8%
Other values (31) 142
11.8%
ValueCountFrequency (%)
10 44
3.7%
14 1
 
0.1%
15 16
 
1.3%
16 1
 
0.1%
18 2
 
0.2%
20 76
6.3%
22 1
 
0.1%
24 3
 
0.2%
25 69
5.7%
26 2
 
0.2%
ValueCountFrequency (%)
250 11
0.9%
200 2
 
0.2%
150 4
 
0.3%
120 1
 
0.1%
110 2
 
0.2%
100 22
1.8%
90 10
0.8%
85 1
 
0.1%
80 7
 
0.6%
75 4
 
0.3%

권역구분
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
충북
286 
미정
235 
서울
221 
경기
131 
부산
83 
Other values (6)
248 

Length

Max length3
Median length2
Mean length2.0024917
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충북 286
23.8%
미정 235
19.5%
서울 221
18.4%
경기 131
10.9%
부산 83
 
6.9%
대구 65
 
5.4%
대전 53
 
4.4%
광주 47
 
3.9%
전북 46
 
3.8%
충남 34
 
2.8%

Length

2023-12-12T20:03:51.180338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 286
23.8%
미정 235
19.5%
서울 221
18.4%
경기 131
10.9%
부산 83
 
6.9%
대구 65
 
5.4%
대전 53
 
4.4%
광주 47
 
3.9%
전북 46
 
3.8%
충남 34
 
2.8%

Interactions

2023-12-12T20:03:41.740780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:40.682135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:41.188442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:41.919835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:40.851170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:41.372832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:42.083676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:41.024663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:41.570182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:03:51.342341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육재원교육대상기수본부부서분야세부교육분야교육일수교육시간계획인원권역구분
교육재원1.0000.7240.3780.3730.8570.6790.9110.3250.8800.6890.592
교육대상0.7241.0000.3920.4240.7280.5970.7760.1990.7890.5610.460
기수0.3780.3921.0000.7510.5530.5310.5670.3900.6740.4100.528
본부0.3730.4240.7511.0001.0000.9531.0000.2050.8450.6910.579
부서0.8570.7280.5531.0001.0000.9180.9750.4990.8760.7050.944
분야0.6790.5970.5310.9530.9181.0000.9550.4870.8940.5920.673
세부교육분야0.9110.7760.5671.0000.9750.9551.0000.7310.9260.8080.712
교육일수0.3250.1990.3900.2050.4990.4870.7311.0000.9850.5840.258
교육시간0.8800.7890.6740.8450.8760.8940.9260.9851.0000.8820.663
계획인원0.6890.5610.4100.6910.7050.5920.8080.5840.8821.0000.519
권역구분0.5920.4600.5280.5790.9440.6730.7120.2580.6630.5191.000
2023-12-12T20:03:51.576629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육대상교육시간세부교육분야권역구분본부부서교육재원분야
교육대상1.0000.4040.4120.2150.3250.3810.5280.355
교육시간0.4041.0000.4900.2860.7420.4400.6600.580
세부교육분야0.4120.4901.0000.3360.9800.7730.7330.806
권역구분0.2150.2860.3361.0000.5570.7450.4010.415
본부0.3250.7420.9800.5571.0000.9930.2490.995
부서0.3810.4400.7730.7450.9931.0000.6610.730
교육재원0.5280.6600.7330.4010.2490.6611.0000.542
분야0.3550.5800.8060.4150.9950.7300.5421.000
2023-12-12T20:03:51.785303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기수교육일수계획인원교육재원교육대상본부부서분야세부교육분야교육시간권역구분
기수1.0000.2720.3300.2340.1290.5880.2470.3030.2420.2990.256
교육일수0.2721.0000.0160.2130.0900.1510.2010.2900.3920.9050.118
계획인원0.3300.0161.0000.3650.3080.5230.3880.3670.4830.5890.274
교육재원0.2340.2130.3651.0000.5280.2490.6610.5420.7330.6600.401
교육대상0.1290.0900.3080.5281.0000.3250.3810.3550.4120.4040.215
본부0.5880.1510.5230.2490.3251.0000.9930.9950.9800.7420.557
부서0.2470.2010.3880.6610.3810.9931.0000.7300.7730.4400.745
분야0.3030.2900.3670.5420.3550.9950.7301.0000.8060.5800.415
세부교육분야0.2420.3920.4830.7330.4120.9800.7730.8061.0000.4900.336
교육시간0.2990.9050.5890.6600.4040.7420.4400.5800.4901.0000.286
권역구분0.2560.1180.2740.4010.2150.5570.7450.4150.3360.2861.000

Missing values

2023-12-12T20:03:42.317023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:03:42.647698image/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

교육방식교육재원교육대상기수과정명실과정명본부부서분야세부교육분야교육기간(시작)교육기간(종료)교육일수교육시간계획인원권역구분
0라이브출연민간1노인보호전문상담원기본과정노인보호전문상담원기본과정복지인재양성본부사회서비스교육부사회복지노인복지2021-04-192021-04-2353630충북
1라이브출연민간1노인상담사례관리기본과정노인상담사례관리기본과정복지인재양성본부사회서비스교육부사회복지노인복지2021-04-282021-04-2921525충북
2라이브출연민간2노인상담사례관리기본과정노인상담사례관리기본과정복지인재양성본부사회서비스교육부사회복지노인복지2021-06-022021-06-0321525충북
3라이브출연민간3노인상담사례관리기본과정노인상담사례관리기본과정복지인재양성본부사회서비스교육부사회복지노인복지2021-10-132021-10-1421525충북
4라이브출연민간1노인장기요양기관최고관리자역량강화과정노인장기요양기관최고관리자역량강화과정복지인재양성본부사회서비스교육부사회복지노인복지2021-04-082021-04-0921225충북
5라이브자체공무원1드림스타트전문화과정(경력전담공무원)드림스타트전문화과정(경력전담공무원)복지인재양성본부사회서비스교육부사회복지아동복지2021-06-232021-06-231840비대면
6라이브자체공무원2드림스타트전문화과정(경력전담공무원)드림스타트전문화과정(경력전담공무원)복지인재양성본부사회서비스교육부사회복지아동복지2021-08-202021-08-201840미정
7라이브자체공무원3드림스타트전문화과정(경력전담공무원)드림스타트전문화과정(경력전담공무원)복지인재양성본부사회서비스교육부사회복지아동복지2021-10-082021-10-081840미정
8라이브자체공무원1드림스타트전문화과정(경력팀장)드림스타트전문화과정(경력팀장)복지인재양성본부사회서비스교육부사회복지아동복지2021-04-232021-04-231845충북
9라이브자체공무원2드림스타트전문화과정(경력팀장)드림스타트전문화과정(경력팀장)복지인재양성본부사회서비스교육부사회복지아동복지2021-07-092021-07-091845미정
교육방식교육재원교육대상기수과정명실과정명본부부서분야세부교육분야교육기간(시작)교육기간(종료)교육일수교육시간계획인원권역구분
1194라이브출연공무원1희망복지지원단담당자교육희망복지지원단담당자교육복지인재양성본부복지행정교육부사회복지복지행정2021-06-022021-06-0432030충북
1195라이브민경민간16사회복지과정사회복지과정복지인재양성본부부산교육센터특화교육사회복무기본2021-06-102021-06-1121240부산
1196라이브민경민간19아동심화과정아동심화과정(6)복지인재양성본부대전교육센터특화교육사회복무심화2021-06-012021-06-011540대전
1197라이브민경민간19일반심화과정일반심화과정(14)복지인재양성본부대전교육센터특화교육사회복무심화2021-06-012021-06-011540대전
1198라이브민경민간20일반심화과정일반심화과정(15)복지인재양성본부광주교육센터특화교육사회복무심화2021-06-082021-06-081550광주
1199라이브민경민간20일반심화과정일반심화과정(15)복지인재양성본부대전교육센터특화교육사회복무심화2021-06-082021-06-081540대전
1200라이브민경민간12021년사회서비스원업무평가전략과정(1차)2021년사회서비스원업무평가전략과정(1차)복지인재양성본부사회서비스중앙지원단사회복지사회서비스2021-05-072021-05-071730충북
1201라이브민경민간12021년 사회서비스원 교육 담당자 역량강화 특화과정2021년 사회서비스원 교육 담당자 역량강화 특화과정복지인재양성본부사회서비스중앙지원단사회복지사회서비스2021-06-302021-06-301730충북
1202라이브민경민간1비임상시험전문과정비임상시험전문과정보건인재양성본부제약의료기기화장품교육단보건산업제약2021-06-242021-06-2521630서울
1203라이브민경민간2비임상시험전문과정비임상시험전문과정보건인재양성본부제약의료기기화장품교육단보건산업제약2021-07-152021-07-1621630서울

Duplicate rows

Most frequently occurring

교육방식교육재원교육대상기수과정명실과정명본부부서분야세부교육분야교육기간(시작)교육기간(종료)교육일수교육시간계획인원권역구분# duplicates
8라이브민경민간17사회복지과정사회복지과정복지인재양성본부경인교육센터특화교육사회복무기본2021-06-172021-06-1821245경기3
29라이브민경민간24사회복지과정사회복지과정복지인재양성본부경인교육센터특화교육사회복무기본2021-08-162021-08-1942445경기3
33라이브민경민간26사회복지과정사회복지과정복지인재양성본부경인교육센터특화교육사회복무기본2021-08-302021-09-0242445경기3
54라이브민경민간39사회복지과정사회복지과정복지인재양성본부서울교육센터특화교육사회복무기본2021-12-202021-12-2342450서울3
0라이브민경민간1아동보호전담요원기본교육2차아동보호전담요원기본교육2차복지인재양성본부사회서비스교육부사회복지아동복지2021-06-082021-06-1143180충북2
1라이브민경민간2아동안전교육전문강사양성과정기본과정아동안전교육전문강사양성과정기본과정복지인재양성본부아동안전지원단특화교육아동안전2021-04-172021-04-171846서울2
2라이브민경민간15사회복지과정사회복지과정복지인재양성본부대전교육센터특화교육사회복무기본2021-06-032021-06-0421245대전2
3라이브민경민간15사회복지과정사회복지과정복지인재양성본부서울교육센터특화교육사회복무기본2021-06-032021-06-0421246서울2
4라이브민경민간16사회복지과정사회복지과정복지인재양성본부경인교육센터특화교육사회복무기본2021-06-102021-06-1121245경기2
5라이브민경민간16사회복지과정사회복지과정복지인재양성본부대구교육센터특화교육사회복무기본2021-06-102021-06-1121245대구2