Overview

Dataset statistics

Number of variables13
Number of observations1149
Missing cells45
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory120.2 KiB
Average record size in memory107.1 B

Variable types

Numeric3
Text4
Categorical1
Boolean3
DateTime2

Dataset

Description국가보훈부 공무원의 역량 향상을 위해 나라배움터에서 실시하고 있는 교육훈련과정 현황을 소개하는 자료 * 제공 항목 : 연번, 과정명, 차시, 인정시간, 부처지정학습
URLhttps://www.data.go.kr/data/15089625/fileData.do

Alerts

교육기관명 is highly overall correlated with 사용여부 and 1 other fieldsHigh correlation
사용여부 is highly overall correlated with 교육기관명 and 1 other fieldsHigh correlation
삭제여부 is highly overall correlated with 교육기관명 and 1 other fieldsHigh correlation
교육기관명 is highly imbalanced (55.5%)Imbalance
교육내용 has 39 (3.4%) missing valuesMissing
과정번호 has unique valuesUnique
인정시간_시간 has 31 (2.7%) zerosZeros
인정시간_분 has 1010 (87.9%) zerosZeros

Reproduction

Analysis started2023-12-12 21:36:51.015462
Analysis finished2023-12-12 21:36:54.184200
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과정번호
Real number (ℝ)

UNIQUE 

Distinct1149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1920.6092
Minimum1
Maximum16091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-13T06:36:54.257923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.4
Q1288
median909
Q31196
95-th percentile16033.6
Maximum16091
Range16090
Interquartile range (IQR)908

Descriptive statistics

Standard deviation4167.343
Coefficient of variation (CV)2.1698026
Kurtosis7.5229565
Mean1920.6092
Median Absolute Deviation (MAD)425
Skewness3.059786
Sum2206780
Variance17366748
MonotonicityStrictly increasing
2023-12-13T06:36:54.411067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1099 1
 
0.1%
1105 1
 
0.1%
1104 1
 
0.1%
1103 1
 
0.1%
1102 1
 
0.1%
1101 1
 
0.1%
1100 1
 
0.1%
1098 1
 
0.1%
1107 1
 
0.1%
Other values (1139) 1139
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
16091 1
0.1%
16090 1
0.1%
16089 1
0.1%
16088 1
0.1%
16087 1
0.1%
16086 1
0.1%
16085 1
0.1%
16084 1
0.1%
16083 1
0.1%
16082 1
0.1%

과정명
Text

Distinct1097
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-13T06:36:54.762756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length15.616188
Min length2

Characters and Unicode

Total characters17943
Distinct characters672
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1047 ?
Unique (%)91.1%

Sample

1st row공직자를 위한 나라사랑 길잡이
2nd row국민대통합의 이해
3rd row개인정보보호
4th row사회복지정책과 사례
5th row독립운동가를 통해 본 나라사랑과 국가관
ValueCountFrequency (%)
2007 35
 
1.1%
이해 26
 
0.8%
2 26
 
0.8%
1 23
 
0.7%
22
 
0.7%
및 22
 
0.7%
위한 20
 
0.6%
엑셀 19
 
0.6%
배우는 17
 
0.5%
2010 15
 
0.5%
Other values (2002) 2902
92.8%
2023-12-13T06:36:55.318743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1989
 
11.1%
( 427
 
2.4%
) 427
 
2.4%
정 334
 
1.9%
의 291
 
1.6%
이 285
 
1.6%
인 269
 
1.5%
사 250
 
1.4%
자 246
 
1.4%
0 227
 
1.3%
Other values (662) 13198
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12651
70.5%
Space Separator 1989
 
11.1%
Lowercase Letter 784
 
4.4%
Decimal Number 698
 
3.9%
Open Punctuation 476
 
2.7%
Close Punctuation 476
 
2.7%
Uppercase Letter 474
 
2.6%
Other Punctuation 282
 
1.6%
Dash Punctuation 70
 
0.4%
Letter Number 26
 
0.1%
Other values (5) 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 334
 
2.6%
의 291
 
2.3%
이 285
 
2.3%
인 269
 
2.1%
사 250
 
2.0%
자 246
 
1.9%
과 219
 
1.7%
기 214
 
1.7%
무 202
 
1.6%
가 194
 
1.5%
Other values (572) 10147
80.2%
Uppercase Letter
ValueCountFrequency (%)
M 56
11.8%
S 42
 
8.9%
P 42
 
8.9%
I 38
 
8.0%
E 37
 
7.8%
A 34
 
7.2%
T 33
 
7.0%
O 26
 
5.5%
K 23
 
4.9%
N 19
 
4.0%
Other values (16) 124
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 95
12.1%
s 78
9.9%
i 65
 
8.3%
r 64
 
8.2%
o 62
 
7.9%
a 61
 
7.8%
t 61
 
7.8%
n 61
 
7.8%
l 39
 
5.0%
c 35
 
4.5%
Other values (13) 163
20.8%
Other Punctuation
ValueCountFrequency (%)
. 69
24.5%
, 65
23.0%
! 60
21.3%
: 33
11.7%
? 23
 
8.2%
& 10
 
3.5%
· 9
 
3.2%
% 5
 
1.8%
/ 4
 
1.4%
' 2
 
0.7%
Other values (2) 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 227
32.5%
2 187
26.8%
1 129
18.5%
7 73
 
10.5%
3 33
 
4.7%
4 18
 
2.6%
5 13
 
1.9%
6 8
 
1.1%
8 7
 
1.0%
9 3
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
42.3%
Ⅰ 9
34.6%
Ⅲ 3
 
11.5%
Ⅳ 1
 
3.8%
Ⅴ 1
 
3.8%
Ⅵ 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 427
89.7%
[ 48
 
10.1%
『 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 427
89.7%
] 48
 
10.1%
』 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1989
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12626
70.4%
Common 4008
 
22.3%
Latin 1284
 
7.2%
Han 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 334
 
2.6%
의 291
 
2.3%
이 285
 
2.3%
인 269
 
2.1%
사 250
 
2.0%
자 246
 
1.9%
과 219
 
1.7%
기 214
 
1.7%
무 202
 
1.6%
가 194
 
1.5%
Other values (558) 10122
80.2%
Latin
ValueCountFrequency (%)
e 95
 
7.4%
s 78
 
6.1%
i 65
 
5.1%
r 64
 
5.0%
o 62
 
4.8%
a 61
 
4.8%
t 61
 
4.8%
n 61
 
4.8%
M 56
 
4.4%
S 42
 
3.3%
Other values (45) 639
49.8%
Common
ValueCountFrequency (%)
1989
49.6%
( 427
 
10.7%
) 427
 
10.7%
0 227
 
5.7%
2 187
 
4.7%
1 129
 
3.2%
7 73
 
1.8%
- 70
 
1.7%
. 69
 
1.7%
, 65
 
1.6%
Other values (25) 345
 
8.6%
Han
ValueCountFrequency (%)
職 4
16.0%
公 4
16.0%
記 2
8.0%
史 2
8.0%
新 2
8.0%
値 2
8.0%
價 2
8.0%
愛 1
 
4.0%
美 1
 
4.0%
前 1
 
4.0%
Other values (4) 4
16.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12625
70.4%
ASCII 5248
29.2%
Number Forms 26
 
0.1%
CJK 24
 
0.1%
None 11
 
0.1%
Enclosed Alphanum 4
 
< 0.1%
Punctuation 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1989
37.9%
( 427
 
8.1%
) 427
 
8.1%
0 227
 
4.3%
2 187
 
3.6%
1 129
 
2.5%
e 95
 
1.8%
s 78
 
1.5%
7 73
 
1.4%
- 70
 
1.3%
Other values (67) 1546
29.5%
Hangul
ValueCountFrequency (%)
정 334
 
2.6%
의 291
 
2.3%
이 285
 
2.3%
인 269
 
2.1%
사 250
 
2.0%
자 246
 
1.9%
과 219
 
1.7%
기 214
 
1.7%
무 202
 
1.6%
가 194
 
1.5%
Other values (557) 10121
80.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
42.3%
Ⅰ 9
34.6%
Ⅲ 3
 
11.5%
Ⅳ 1
 
3.8%
Ⅴ 1
 
3.8%
Ⅵ 1
 
3.8%
None
ValueCountFrequency (%)
· 9
81.8%
『 1
 
9.1%
』 1
 
9.1%
CJK
ValueCountFrequency (%)
職 4
16.7%
公 4
16.7%
記 2
8.3%
史 2
8.3%
新 2
8.3%
値 2
8.3%
價 2
8.3%
愛 1
 
4.2%
美 1
 
4.2%
前 1
 
4.2%
Other values (3) 3
12.5%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 4
100.0%
Punctuation
ValueCountFrequency (%)
… 1
33.3%
‘ 1
33.3%
’ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
利 1
100.0%

교육기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
국가보훈처
670 
국가공무원인재개발원
311 
통일교육원
 
48
조달교육원
 
25
법제처
 
18
Other values (13)
77 

Length

Max length10
Median length5
Mean length6.3655352
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
국가보훈처 670
58.3%
국가공무원인재개발원 311
27.1%
통일교육원 48
 
4.2%
조달교육원 25
 
2.2%
법제처 18
 
1.6%
감사교육원 17
 
1.5%
인사혁신처 12
 
1.0%
법제교육센터 10
 
0.9%
한국행정연구원 6
 
0.5%
지방행정연수원 6
 
0.5%
Other values (8) 26
 
2.3%

Length

2023-12-13T06:36:55.515116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국가보훈처 670
58.3%
국가공무원인재개발원 311
27.1%
통일교육원 48
 
4.2%
조달교육원 25
 
2.2%
법제처 18
 
1.6%
감사교육원 17
 
1.5%
인사혁신처 12
 
1.0%
법제교육센터 10
 
0.9%
지방행정연수원 6
 
0.5%
한국행정연구원 6
 
0.5%
Other values (8) 26
 
2.3%

교육대상
Text

Distinct62
Distinct (%)5.4%
Missing1
Missing (%)0.1%
Memory size9.1 KiB
2023-12-13T06:36:55.834467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length5.369338
Min length2

Characters and Unicode

Total characters6164
Distinct characters127
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)4.1%

Sample

1st row전직원
2nd row전직원
3rd row전직원
4th row전직원
5th row전직원
ValueCountFrequency (%)
공무원 703
34.5%
소속 406
19.9%
전직원 393
19.3%
전 240
 
11.8%
과장급 20
 
1.0%
직원 20
 
1.0%
및 19
 
0.9%
이하 18
 
0.9%
담당자 17
 
0.8%
공공기관 14
 
0.7%
Other values (103) 188
 
9.2%
2023-12-13T06:36:56.309445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1124
18.2%
890
14.4%
무 746
12.1%
공 740
12.0%
전 636
10.3%
직 419
 
6.8%
소 407
 
6.6%
속 407
 
6.6%
급 51
 
0.8%
자 40
 
0.6%
Other values (117) 704
11.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5216
84.6%
Space Separator 890
 
14.4%
Decimal Number 37
 
0.6%
Math Symbol 11
 
0.2%
Other Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1124
21.5%
무 746
14.3%
공 740
14.2%
전 636
12.2%
직 419
 
8.0%
소 407
 
7.8%
속 407
 
7.8%
급 51
 
1.0%
자 40
 
0.8%
당 38
 
0.7%
Other values (100) 608
11.7%
Decimal Number
ValueCountFrequency (%)
6 9
24.3%
5 7
18.9%
4 6
16.2%
9 5
13.5%
7 4
10.8%
8 2
 
5.4%
3 2
 
5.4%
2 1
 
2.7%
1 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
890
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5216
84.6%
Common 948
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1124
21.5%
무 746
14.3%
공 740
14.2%
전 636
12.2%
직 419
 
8.0%
소 407
 
7.8%
속 407
 
7.8%
급 51
 
1.0%
자 40
 
0.8%
당 38
 
0.7%
Other values (100) 608
11.7%
Common
ValueCountFrequency (%)
890
93.9%
~ 11
 
1.2%
6 9
 
0.9%
5 7
 
0.7%
4 6
 
0.6%
, 5
 
0.5%
9 5
 
0.5%
7 4
 
0.4%
8 2
 
0.2%
3 2
 
0.2%
Other values (7) 7
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5216
84.6%
ASCII 947
 
15.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1124
21.5%
무 746
14.3%
공 740
14.2%
전 636
12.2%
직 419
 
8.0%
소 407
 
7.8%
속 407
 
7.8%
급 51
 
1.0%
자 40
 
0.8%
당 38
 
0.7%
Other values (100) 608
11.7%
ASCII
ValueCountFrequency (%)
890
94.0%
~ 11
 
1.2%
6 9
 
1.0%
5 7
 
0.7%
4 6
 
0.6%
, 5
 
0.5%
9 5
 
0.5%
7 4
 
0.4%
8 2
 
0.2%
3 2
 
0.2%
Other values (6) 6
 
0.6%
None
ValueCountFrequency (%)
· 1
100.0%

교육내용
Text

MISSING 

Distinct817
Distinct (%)73.6%
Missing39
Missing (%)3.4%
Memory size9.1 KiB
2023-12-13T06:36:56.727023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length581
Mean length134.11622
Min length2

Characters and Unicode

Total characters148869
Distinct characters1174
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique581 ?
Unique (%)52.3%

Sample

1st row국가송무 일반, 강제집행, 공무원신분소송, 노동소송, 변상금·과징금 소송 등
2nd row정부 조직관리의 방식과 정부조직 발전방향 습득
3rd row세종대왕리더십
4th row예산의 범위와 체계, 일반？특별회계예산, 예산편성, 집행, 결산 등 예산절차 실무
5th row공직자의 행정법령 해석 및 운영과 집행에 필요한 법령해석의 기본적인 이론과 실무？ 사례의 체계적인 파악 및 이해
ValueCountFrequency (%)
수 771
 
2.2%
있다 500
 
1.4%
및 383
 
1.1%
통해 309
 
0.9%
등 304
 
0.9%
있는 273
 
0.8%
대한 260
 
0.7%
이해 151
 
0.4%
1 139
 
0.4%
할 138
 
0.4%
Other values (13363) 32417
90.9%
2023-12-13T06:36:57.394243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34623
 
23.3%
이 3018
 
2.0%
의 2622
 
1.8%
을 2578
 
1.7%
, 2255
 
1.5%
다 2220
 
1.5%
는 2163
 
1.5%
. 2078
 
1.4%
한 2032
 
1.4%
하 1756
 
1.2%
Other values (1164) 93524
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103483
69.5%
Space Separator 34623
 
23.3%
Other Punctuation 4962
 
3.3%
Decimal Number 1739
 
1.2%
Lowercase Letter 1173
 
0.8%
Uppercase Letter 887
 
0.6%
Control 765
 
0.5%
Initial Punctuation 286
 
0.2%
Final Punctuation 285
 
0.2%
Close Punctuation 266
 
0.2%
Other values (7) 400
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3018
 
2.9%
의 2622
 
2.5%
을 2578
 
2.5%
다 2220
 
2.1%
는 2163
 
2.1%
한 2032
 
2.0%
하 1756
 
1.7%
에 1723
 
1.7%
고 1539
 
1.5%
기 1387
 
1.3%
Other values (1055) 82445
79.7%
Uppercase Letter
ValueCountFrequency (%)
P 121
13.6%
S 91
10.3%
E 78
 
8.8%
C 69
 
7.8%
A 68
 
7.7%
T 59
 
6.7%
I 55
 
6.2%
W 44
 
5.0%
D 44
 
5.0%
O 40
 
4.5%
Other values (16) 218
24.6%
Lowercase Letter
ValueCountFrequency (%)
e 162
13.8%
o 148
12.6%
i 117
10.0%
r 114
9.7%
t 103
8.8%
n 81
 
6.9%
c 53
 
4.5%
s 52
 
4.4%
a 51
 
4.3%
w 47
 
4.0%
Other values (14) 245
20.9%
Other Punctuation
ValueCountFrequency (%)
, 2255
45.4%
. 2078
41.9%
' 203
 
4.1%
? 142
 
2.9%
! 82
 
1.7%
· 73
 
1.5%
" 35
 
0.7%
/ 22
 
0.4%
？ 21
 
0.4%
… 16
 
0.3%
Other values (5) 35
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 444
25.5%
2 391
22.5%
1 316
18.2%
3 200
11.5%
7 129
 
7.4%
4 91
 
5.2%
5 82
 
4.7%
6 35
 
2.0%
8 28
 
1.6%
9 23
 
1.3%
Math Symbol
ValueCountFrequency (%)
> 27
35.5%
< 27
35.5%
~ 13
17.1%
→ 6
 
7.9%
≪ 1
 
1.3%
≫ 1
 
1.3%
⊙ 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 132
49.8%
『 62
23.4%
《 49
 
18.5%
[ 14
 
5.3%
〈 5
 
1.9%
「 3
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 132
49.6%
』 63
23.7%
》 49
 
18.4%
] 14
 
5.3%
〉 5
 
1.9%
」 3
 
1.1%
Other Symbol
ValueCountFrequency (%)
● 10
50.0%
ⓔ 6
30.0%
○ 3
 
15.0%
㎢ 1
 
5.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 264
92.3%
“ 22
 
7.7%
Final Punctuation
ValueCountFrequency (%)
’ 262
91.9%
” 23
 
8.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
Space Separator
ValueCountFrequency (%)
34623
100.0%
Control
ValueCountFrequency (%)
765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103396
69.5%
Common 43322
29.1%
Latin 2064
 
1.4%
Han 87
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3018
 
2.9%
의 2622
 
2.5%
을 2578
 
2.5%
다 2220
 
2.1%
는 2163
 
2.1%
한 2032
 
2.0%
하 1756
 
1.7%
에 1723
 
1.7%
고 1539
 
1.5%
기 1387
 
1.3%
Other values (996) 82358
79.7%
Han
ValueCountFrequency (%)
彼 5
 
5.7%
知 4
 
4.6%
顧 3
 
3.4%
我 3
 
3.4%
名 3
 
3.4%
攻 3
 
3.4%
魅 2
 
2.3%
鏡 2
 
2.3%
智 2
 
2.3%
三 2
 
2.3%
Other values (49) 58
66.7%
Common
ValueCountFrequency (%)
34623
79.9%
, 2255
 
5.2%
. 2078
 
4.8%
765
 
1.8%
0 444
 
1.0%
2 391
 
0.9%
1 316
 
0.7%
‘ 264
 
0.6%
’ 262
 
0.6%
' 203
 
0.5%
Other values (47) 1721
 
4.0%
Latin
ValueCountFrequency (%)
e 162
 
7.8%
o 148
 
7.2%
P 121
 
5.9%
i 117
 
5.7%
r 114
 
5.5%
t 103
 
5.0%
S 91
 
4.4%
n 81
 
3.9%
E 78
 
3.8%
C 69
 
3.3%
Other values (42) 980
47.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103385
69.4%
ASCII 44433
29.8%
Punctuation 587
 
0.4%
None 333
 
0.2%
CJK 84
 
0.1%
Geometric Shapes 13
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
Arrows 6
 
< 0.1%
Number Forms 4
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34623
77.9%
, 2255
 
5.1%
. 2078
 
4.7%
765
 
1.7%
0 444
 
1.0%
2 391
 
0.9%
1 316
 
0.7%
' 203
 
0.5%
3 200
 
0.5%
e 162
 
0.4%
Other values (74) 2996
 
6.7%
Hangul
ValueCountFrequency (%)
이 3018
 
2.9%
의 2622
 
2.5%
을 2578
 
2.5%
다 2220
 
2.1%
는 2163
 
2.1%
한 2032
 
2.0%
하 1756
 
1.7%
에 1723
 
1.7%
고 1539
 
1.5%
기 1387
 
1.3%
Other values (995) 82347
79.7%
Punctuation
ValueCountFrequency (%)
‘ 264
45.0%
’ 262
44.6%
” 23
 
3.9%
“ 22
 
3.7%
… 16
 
2.7%
None
ValueCountFrequency (%)
· 73
21.9%
』 63
18.9%
『 62
18.6%
》 49
14.7%
《 49
14.7%
？ 21
 
6.3%
〈 5
 
1.5%
〉 5
 
1.5%
「 3
 
0.9%
」 3
 
0.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 11
100.0%
Geometric Shapes
ValueCountFrequency (%)
● 10
76.9%
○ 3
 
23.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 6
100.0%
Arrows
ValueCountFrequency (%)
→ 6
100.0%
CJK
ValueCountFrequency (%)
彼 5
 
6.0%
知 4
 
4.8%
顧 3
 
3.6%
我 3
 
3.6%
名 3
 
3.6%
攻 3
 
3.6%
魅 2
 
2.4%
鏡 2
 
2.4%
智 2
 
2.4%
三 2
 
2.4%
Other values (46) 55
65.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
不 1
33.3%
樂 1
33.3%
禮 1
33.3%
Math Operators
ValueCountFrequency (%)
≪ 1
33.3%
≫ 1
33.3%
⊙ 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎢ 1
100.0%

교육목적
Text

Distinct147
Distinct (%)12.8%
Missing4
Missing (%)0.3%
Memory size9.1 KiB
2023-12-13T06:36:57.710229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length72
Mean length11.779913
Min length2

Characters and Unicode

Total characters13488
Distinct characters329
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)10.7%

Sample

1st row공직가치 함양
2nd row공직가치 함양
3rd row공직가치 함양
4th row직무역량향상
5th row공직가치 함양
ValueCountFrequency (%)
함양 282
 
9.5%
및 149
 
5.0%
직무역량향상 147
 
5.0%
정보화능력향상 141
 
4.7%
국정철학 122
 
4.1%
공직관 121
 
4.1%
필요한 94
 
3.2%
공무원에게 87
 
2.9%
공직가치·리더십·직무역량 87
 
2.9%
자기개발 87
 
2.9%
Other values (517) 1652
55.6%
2023-12-13T06:36:58.185302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1824
 
13.5%
직 611
 
4.5%
무 494
 
3.7%
양 442
 
3.3%
· 362
 
2.7%
공 348
 
2.6%
정 344
 
2.6%
역 327
 
2.4%
상 327
 
2.4%
향 322
 
2.4%
Other values (319) 8087
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10966
81.3%
Space Separator 1824
 
13.5%
Other Punctuation 509
 
3.8%
Uppercase Letter 163
 
1.2%
Decimal Number 10
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Other Symbol 2
 
< 0.1%
Control 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
직 611
 
5.6%
무 494
 
4.5%
양 442
 
4.0%
공 348
 
3.2%
정 344
 
3.1%
역 327
 
3.0%
상 327
 
3.0%
향 322
 
2.9%
량 322
 
2.9%
함 284
 
2.6%
Other values (291) 7145
65.2%
Uppercase Letter
ValueCountFrequency (%)
T 62
38.0%
I 62
38.0%
S 8
 
4.9%
W 6
 
3.7%
D 4
 
2.5%
A 4
 
2.5%
B 3
 
1.8%
V 3
 
1.8%
L 2
 
1.2%
Q 2
 
1.2%
Other values (6) 7
 
4.3%
Other Punctuation
ValueCountFrequency (%)
· 362
71.1%
, 146
28.7%
/ 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
4 9
90.0%
3 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
l 1
50.0%
Space Separator
ValueCountFrequency (%)
1824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10966
81.3%
Common 2357
 
17.5%
Latin 165
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
직 611
 
5.6%
무 494
 
4.5%
양 442
 
4.0%
공 348
 
3.2%
정 344
 
3.1%
역 327
 
3.0%
상 327
 
3.0%
향 322
 
2.9%
량 322
 
2.9%
함 284
 
2.6%
Other values (291) 7145
65.2%
Latin
ValueCountFrequency (%)
T 62
37.6%
I 62
37.6%
S 8
 
4.8%
W 6
 
3.6%
D 4
 
2.4%
A 4
 
2.4%
B 3
 
1.8%
V 3
 
1.8%
L 2
 
1.2%
Q 2
 
1.2%
Other values (8) 9
 
5.5%
Common
ValueCountFrequency (%)
1824
77.4%
· 362
 
15.4%
, 146
 
6.2%
4 9
 
0.4%
( 5
 
0.2%
) 5
 
0.2%
○ 2
 
0.1%
2
 
0.1%
3 1
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10966
81.3%
ASCII 2158
 
16.0%
None 362
 
2.7%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1824
84.5%
, 146
 
6.8%
T 62
 
2.9%
I 62
 
2.9%
4 9
 
0.4%
S 8
 
0.4%
W 6
 
0.3%
( 5
 
0.2%
) 5
 
0.2%
D 4
 
0.2%
Other values (16) 27
 
1.3%
Hangul
ValueCountFrequency (%)
직 611
 
5.6%
무 494
 
4.5%
양 442
 
4.0%
공 348
 
3.2%
정 344
 
3.1%
역 327
 
3.0%
상 327
 
3.0%
향 322
 
2.9%
량 322
 
2.9%
함 284
 
2.6%
Other values (291) 7145
65.2%
None
ValueCountFrequency (%)
· 362
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

부처지정과정여부
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
False
636 
True
513 
ValueCountFrequency (%)
False 636
55.4%
True 513
44.6%
2023-12-13T06:36:58.324766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인정시간_시간
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3359443
Minimum0
Maximum103
Zeros31
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-13T06:36:58.433137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q310
95-th percentile22.6
Maximum103
Range103
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.2299448
Coefficient of variation (CV)0.88153319
Kurtosis30.340318
Mean9.3359443
Median Absolute Deviation (MAD)3
Skewness3.7934486
Sum10727
Variance67.731991
MonotonicityNot monotonic
2023-12-13T06:36:58.593484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10 297
25.8%
5 94
 
8.2%
8 91
 
7.9%
7 88
 
7.7%
1 79
 
6.9%
3 71
 
6.2%
21 58
 
5.0%
6 53
 
4.6%
4 47
 
4.1%
2 43
 
3.7%
Other values (30) 228
19.8%
ValueCountFrequency (%)
0 31
 
2.7%
1 79
6.9%
2 43
3.7%
3 71
6.2%
4 47
4.1%
5 94
8.2%
6 53
4.6%
7 88
7.7%
8 91
7.9%
9 28
 
2.4%
ValueCountFrequency (%)
103 1
 
0.1%
101 1
 
0.1%
62 1
 
0.1%
45 1
 
0.1%
41 1
 
0.1%
37 2
 
0.2%
36 2
 
0.2%
35 18
1.6%
33 1
 
0.1%
32 4
 
0.3%

인정시간_분
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.3797909
Minimum0
Maximum50
Zeros1010
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-13T06:36:58.715945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.215055
Coefficient of variation (CV)3.0223926
Kurtosis9.0795622
Mean3.3797909
Median Absolute Deviation (MAD)0
Skewness3.1464299
Sum3880
Variance104.34735
MonotonicityNot monotonic
2023-12-13T06:36:58.838217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1010
87.9%
30 49
 
4.3%
10 32
 
2.8%
20 19
 
1.7%
40 19
 
1.7%
50 19
 
1.7%
(Missing) 1
 
0.1%
ValueCountFrequency (%)
0 1010
87.9%
10 32
 
2.8%
20 19
 
1.7%
30 49
 
4.3%
40 19
 
1.7%
50 19
 
1.7%
ValueCountFrequency (%)
50 19
 
1.7%
40 19
 
1.7%
30 49
 
4.3%
20 19
 
1.7%
10 32
 
2.8%
0 1010
87.9%

사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
True
714 
False
435 
ValueCountFrequency (%)
True 714
62.1%
False 435
37.9%
2023-12-13T06:36:58.956409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
True
723 
False
426 
ValueCountFrequency (%)
True 723
62.9%
False 426
37.1%
2023-12-13T06:36:59.057547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

과정최초등록일자
Date

Distinct15
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2015-02-12 00:00:00
Maximum2019-05-10 00:00:00
2023-12-13T06:36:59.167931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:59.310305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

과정최종수정일자
Date

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2018-03-06 00:00:00
Maximum2019-05-10 00:00:00
2023-12-13T06:36:59.436439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:59.582412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

Interactions

2023-12-13T06:36:53.119606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:52.439346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:52.798224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:53.238605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:52.560893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:52.920377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:53.326098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:52.668328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:36:53.037872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:36:59.693782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과정번호교육기관명교육대상부처지정과정여부인정시간_시간인정시간_분사용여부삭제여부과정최초등록일자과정최종수정일자
과정번호1.0000.2550.5340.3930.1910.0740.2940.3391.0000.142
교육기관명0.2551.0000.8920.4710.6290.2430.6310.6030.7670.619
교육대상0.5340.8921.0000.7760.9490.0000.9940.9120.9140.793
부처지정과정여부0.3930.4710.7761.0000.3350.2150.6270.2000.6960.381
인정시간_시간0.1910.6290.9490.3351.0000.0660.2150.1500.4070.402
인정시간_분0.0740.2430.0000.2150.0661.0000.3750.4130.4890.283
사용여부0.2940.6310.9940.6270.2150.3751.0000.8060.9230.373
삭제여부0.3390.6030.9120.2000.1500.4130.8061.0000.9510.650
과정최초등록일자1.0000.7670.9140.6960.4070.4890.9230.9511.0000.827
과정최종수정일자0.1420.6190.7930.3810.4020.2830.3730.6500.8271.000
2023-12-13T06:36:59.848090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육기관명삭제여부부처지정과정여부사용여부
교육기관명1.0000.5440.4210.570
삭제여부0.5441.0000.1280.597
부처지정과정여부0.4210.1281.0000.431
사용여부0.5700.5970.4311.000
2023-12-13T06:36:59.982806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과정번호인정시간_시간인정시간_분교육기관명부처지정과정여부사용여부삭제여부
과정번호1.000-0.1950.2700.2280.2570.1900.220
인정시간_시간-0.1951.000-0.4750.3440.3580.2290.160
인정시간_분0.270-0.4751.0000.1160.1550.2700.297
교육기관명0.2280.3440.1161.0000.4210.5700.544
부처지정과정여부0.2570.3580.1550.4211.0000.4310.128
사용여부0.1900.2290.2700.5700.4311.0000.597
삭제여부0.2200.1600.2970.5440.1280.5971.000

Missing values

2023-12-13T06:36:53.489320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:36:53.658374image/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.
2023-12-13T06:36:54.113459image/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

과정번호과정명교육기관명교육대상교육내용교육목적부처지정과정여부인정시간_시간인정시간_분사용여부삭제여부과정최초등록일자과정최종수정일자
01공직자를 위한 나라사랑 길잡이국가보훈처전직원<NA>공직가치 함양Y50NY2015-02-122018-03-06
12국민대통합의 이해국가보훈처전직원<NA>공직가치 함양Y10NY2015-02-122018-03-06
23개인정보보호국가보훈처전직원<NA>공직가치 함양Y80NY2015-02-122018-03-06
34사회복지정책과 사례국가보훈처전직원<NA>직무역량향상Y70NY2015-02-122018-03-06
45독립운동가를 통해 본 나라사랑과 국가관국가보훈처전직원<NA>공직가치 함양Y70NY2015-02-122018-03-06
56소통의 핵심기술, 경청효과국가보훈처전직원<NA>공직가치 함양Y120NY2015-02-122018-03-06
67정부3.0의 이해국가보훈처전직원<NA>공직가치 함양Y20NY2015-02-122018-03-06
78창의적 아이디어가 성장엔진이 되는 창조경제국가보훈처전직원<NA>공직가치 함양Y30NY2015-02-122018-03-06
89헌법정신에 기반한 공직윤리와 가치국가보훈처전직원<NA>공직가치 함양Y100NY2015-02-122018-03-06
910국가송무실무국가보훈처소속 공무원국가송무 일반, 강제집행, 공무원신분소송, 노동소송, 변상금·과징금 소송 등직무역량향상Y60YY2015-02-122018-03-06
과정번호과정명교육기관명교육대상교육내용교육목적부처지정과정여부인정시간_시간인정시간_분사용여부삭제여부과정최초등록일자과정최종수정일자
113916082과장급표준역량과역량평가의이해국가보훈처소속 공무원역량기초이론 및 역량평가제도, 관리자의 역할, 공통역량(정책기획, 성과관리, 조직관리, 의사소통, 이해관계조정, 동기부여) 소개, 평가기법 소개 및 예제직무역량향상Y50YY2016-04-212018-03-06
114016083긍정심리교실국가보훈처소속 공무원현대사회의 공직리더가 반드시 갖추어야 할 ‘긍정의 리더십’ 함양의 필요성 파악 및 이해국정철학 및 공직관 함양Y90YY2016-04-212018-03-06
114116084효과적인면접을위한DOs&DONTs국가보훈처소속 공무원면접관교육의 중요성을 인식하고 우수인재선발을 위한면접관으로서 면접요령 및 질문구성방법 등 다양한 지식과 기술을 학습직무역량향상Y60YY2016-04-212018-03-06
114216085가족친화제도의이해국가보훈처소속 공무원가족친화제도의 유형과 국내외 현황, 가족친화 직장문화 확산을 위한 가족친화제도와 관련된 법률, 지원제도, 정책내용과 그에 따른 실천방안직무역량향상Y40YY2016-04-212018-03-06
114316086생활속안전길잡이<NA>소속 공무원안전생활 기본상식, 응급처리 요령 및 자연재해 등 안전 교육<NA>Y10<NA>NY2016-04-212018-03-06
114416087속뜻풀이한자국가보훈처소속 공무원한자에 대한 올바른 이해, 한자학습의 지름길직무역량향상Y70YY2016-04-212018-03-06
114516088고위공무원단제도의이해국가보훈처소속 공무원고위공무원단 제도 전반에 대한 이해도 제고를 위한 고위공무원단 제도, 개방형?공모 직위 운영, 인사심사 및 적격심사, 후보자 교육과정 및 역량평가, 직무분석 및 직무 등급 배정, 직무성과급적 연봉제 운영직무역량향상Y30YY2016-04-212018-03-06
114616089개방형관리자를위한맞춤형직무교육국가보훈처소속 공무원민간출신 공직채용자들이 직무에 잘 적응할 수 있도록 법제·예산·국회대응·홍보 등 전반적인 내용직무역량향상Y80YY2016-04-212018-03-06
114716090공무원이알아야할기본법령Ⅱ국가보훈처소속 공무원행정업무와 관련된 필요한 기본법(법령의 의미, 체계, 지방자치단체의 자치입법권, 개인정보 등)의 이해직무역량향상Y80YY2016-04-212018-03-06
114816091쉽게배우는공무원인사실무국가보훈처소속 공무원공무원 인사제도의 개요, 신규채용, 승진, 인사 및 성과관리, 능력개발 및 포상, 보수와 후생복지, 신분 및 권익보장, 복무 및 징계직무역량향상Y50YY2016-04-212018-03-06