Overview

Dataset statistics

Number of variables9
Number of observations320
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.9 KiB
Average record size in memory73.4 B

Variable types

Categorical3
Text5
Numeric1

Dataset

Description공무원연금 수급자를 대상으로 아카데미 운영정보 제공을 통해 자원봉사 수요를 충족하고 자기계발 기회 확대에 기여하고자 제공하는 데이터로 교육분야 및 모집기간, 교육기간, 장소 및 참여인원 등의 데이터가 있습니다.
URLhttps://www.data.go.kr/data/15033987/fileData.do

Alerts

수강료 has constant value ""Constant

Reproduction

Analysis started2023-12-12 00:44:09.694673
Analysis finished2023-12-12 00:44:10.697487
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육분야
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
사회공헌-배움과 나눔
226 
은퇴생활지원-은퇴생활지원
44 
사회공헌-봉사기본
39 
사회공헌-리더양성
 
10
사회공헌-치매교육(평생동행)
 
1

Length

Max length15
Median length11
Mean length10.98125
Min length9

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row사회공헌-배움과 나눔
2nd row사회공헌-배움과 나눔
3rd row사회공헌-배움과 나눔
4th row사회공헌-봉사기본
5th row사회공헌-배움과 나눔

Common Values

ValueCountFrequency (%)
사회공헌-배움과 나눔 226
70.6%
은퇴생활지원-은퇴생활지원 44
 
13.8%
사회공헌-봉사기본 39
 
12.2%
사회공헌-리더양성 10
 
3.1%
사회공헌-치매교육(평생동행) 1
 
0.3%

Length

2023-12-12T09:44:10.790715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:10.889026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회공헌-배움과 226
41.4%
나눔 226
41.4%
은퇴생활지원-은퇴생활지원 44
 
8.1%
사회공헌-봉사기본 39
 
7.1%
사회공헌-리더양성 10
 
1.8%
사회공헌-치매교육(평생동행 1
 
0.2%

교육명
Text

Distinct302
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:44:11.102824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length15.7125
Min length2

Characters and Unicode

Total characters5028
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)89.7%

Sample

1st row업사이클링(양말목 손뜨개)
2nd row스마트폰 활용
3rd row우쿨렐레 교육(22년 상반기)
4th row자원봉사 기본교육 (22년 상반기)
5th row안전신문고앱 (0527,원주)
ValueCountFrequency (%)
2022년 54
 
6.4%
부산 52
 
6.2%
하 32
 
3.8%
하반기 32
 
3.8%
상 31
 
3.7%
스마트폰 29
 
3.4%
상반기 24
 
2.9%
국민생활안전지도사 14
 
1.7%
부산]2022년 14
 
1.7%
안전신문고앱 7
 
0.8%
Other values (397) 552
65.6%
2023-12-12T09:44:11.531368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
 
10.4%
2 255
 
5.1%
) 188
 
3.7%
( 188
 
3.7%
] 134
 
2.7%
[ 134
 
2.7%
사 112
 
2.2%
기 110
 
2.2%
스 95
 
1.9%
0 92
 
1.8%
Other values (310) 3198
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3334
66.3%
Space Separator 522
 
10.4%
Decimal Number 444
 
8.8%
Close Punctuation 322
 
6.4%
Open Punctuation 322
 
6.4%
Other Punctuation 37
 
0.7%
Dash Punctuation 23
 
0.5%
Uppercase Letter 18
 
0.4%
Lowercase Letter 4
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 112
 
3.4%
기 110
 
3.3%
스 95
 
2.8%
교 82
 
2.5%
상 78
 
2.3%
산 74
 
2.2%
년 72
 
2.2%
육 72
 
2.2%
부 71
 
2.1%
반 69
 
2.1%
Other values (280) 2499
75.0%
Decimal Number
ValueCountFrequency (%)
2 255
57.4%
0 92
 
20.7%
1 34
 
7.7%
3 16
 
3.6%
4 12
 
2.7%
6 11
 
2.5%
5 11
 
2.5%
7 6
 
1.4%
9 4
 
0.9%
8 3
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
33.3%
G 3
16.7%
A 3
16.7%
O 3
16.7%
N 2
 
11.1%
E 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 28
75.7%
/ 4
 
10.8%
! 3
 
8.1%
& 2
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
n 1
25.0%
r 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 188
58.4%
] 134
41.6%
Open Punctuation
ValueCountFrequency (%)
( 188
58.4%
[ 134
41.6%
Space Separator
ValueCountFrequency (%)
522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3334
66.3%
Common 1672
33.3%
Latin 22
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 112
 
3.4%
기 110
 
3.3%
스 95
 
2.8%
교 82
 
2.5%
상 78
 
2.3%
산 74
 
2.2%
년 72
 
2.2%
육 72
 
2.2%
부 71
 
2.1%
반 69
 
2.1%
Other values (280) 2499
75.0%
Common
ValueCountFrequency (%)
522
31.2%
2 255
15.3%
) 188
 
11.2%
( 188
 
11.2%
] 134
 
8.0%
[ 134
 
8.0%
0 92
 
5.5%
1 34
 
2.0%
, 28
 
1.7%
- 23
 
1.4%
Other values (11) 74
 
4.4%
Latin
ValueCountFrequency (%)
S 6
27.3%
G 3
13.6%
A 3
13.6%
O 3
13.6%
e 2
 
9.1%
N 2
 
9.1%
E 1
 
4.5%
n 1
 
4.5%
r 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3334
66.3%
ASCII 1694
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
522
30.8%
2 255
15.1%
) 188
 
11.1%
( 188
 
11.1%
] 134
 
7.9%
[ 134
 
7.9%
0 92
 
5.4%
1 34
 
2.0%
, 28
 
1.7%
- 23
 
1.4%
Other values (20) 96
 
5.7%
Hangul
ValueCountFrequency (%)
사 112
 
3.4%
기 110
 
3.3%
스 95
 
2.8%
교 82
 
2.5%
상 78
 
2.3%
산 74
 
2.2%
년 72
 
2.2%
육 72
 
2.2%
부 71
 
2.1%
반 69
 
2.1%
Other values (280) 2499
75.0%

모집기간
Text

Distinct135
Distinct (%)42.6%
Missing3
Missing (%)0.9%
Memory size2.6 KiB
2023-12-12T09:44:11.791024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters6657
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)26.8%

Sample

1st row2022-03-07~2022-03-18
2nd row2022-03-07~2022-03-18
3rd row2022-03-07~2022-03-18
4th row2022-04-18~2022-04-29
5th row2022-05-02~2022-05-13
ValueCountFrequency (%)
2022-08-24~2022-08-26 21
 
6.6%
2022-03-21~2022-03-23 18
 
5.7%
2022-08-25~2022-08-31 17
 
5.4%
2022-02-22~2022-02-22 17
 
5.4%
2022-04-20~2022-04-22 9
 
2.8%
2022-03-04~2022-03-09 8
 
2.5%
2022-08-29~2022-08-29 8
 
2.5%
2022-02-22~2022-02-25 7
 
2.2%
2022-08-26~2022-09-15 6
 
1.9%
2022-02-21~2022-02-28 6
 
1.9%
Other values (125) 200
63.1%
2023-12-12T09:44:12.204309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2422
36.4%
0 1419
21.3%
- 1268
19.0%
~ 317
 
4.8%
1 266
 
4.0%
3 229
 
3.4%
8 188
 
2.8%
5 133
 
2.0%
9 123
 
1.8%
4 119
 
1.8%
Other values (2) 173
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5072
76.2%
Dash Punctuation 1268
 
19.0%
Math Symbol 317
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2422
47.8%
0 1419
28.0%
1 266
 
5.2%
3 229
 
4.5%
8 188
 
3.7%
5 133
 
2.6%
9 123
 
2.4%
4 119
 
2.3%
6 109
 
2.1%
7 64
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1268
100.0%
Math Symbol
ValueCountFrequency (%)
~ 317
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6657
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2422
36.4%
0 1419
21.3%
- 1268
19.0%
~ 317
 
4.8%
1 266
 
4.0%
3 229
 
3.4%
8 188
 
2.8%
5 133
 
2.0%
9 123
 
1.8%
4 119
 
1.8%
Other values (2) 173
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6657
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2422
36.4%
0 1419
21.3%
- 1268
19.0%
~ 317
 
4.8%
1 266
 
4.0%
3 229
 
3.4%
8 188
 
2.8%
5 133
 
2.0%
9 123
 
1.8%
4 119
 
1.8%
Other values (2) 173
 
2.6%

교육기간
Text

Distinct260
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:44:12.480510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters6720
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)66.9%

Sample

1st row2022-03-29~2022-05-10
2nd row2022-03-25~2022-05-06
3rd row2022-03-24~2022-05-12
4th row2022-05-02~2022-05-02
5th row2022-05-27~2022-05-27
ValueCountFrequency (%)
2022-03-11~2022-03-11 5
 
1.6%
2022-09-05~2022-11-28 5
 
1.6%
2022-09-06~2022-09-27 3
 
0.9%
2022-04-28~2022-04-28 3
 
0.9%
2022-04-15~2022-04-15 3
 
0.9%
2022-03-11~2022-04-29 3
 
0.9%
2022-11-10~2022-11-10 3
 
0.9%
2022-09-29~2022-09-29 3
 
0.9%
2022-04-26~2022-04-26 3
 
0.9%
2022-03-08~2022-04-26 3
 
0.9%
Other values (250) 286
89.4%
2023-12-12T09:44:12.897183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2211
32.9%
0 1470
21.9%
- 1280
19.0%
1 467
 
6.9%
~ 320
 
4.8%
3 175
 
2.6%
9 144
 
2.1%
5 137
 
2.0%
6 136
 
2.0%
4 131
 
1.9%
Other values (2) 249
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5120
76.2%
Dash Punctuation 1280
 
19.0%
Math Symbol 320
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2211
43.2%
0 1470
28.7%
1 467
 
9.1%
3 175
 
3.4%
9 144
 
2.8%
5 137
 
2.7%
6 136
 
2.7%
4 131
 
2.6%
7 128
 
2.5%
8 121
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1280
100.0%
Math Symbol
ValueCountFrequency (%)
~ 320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2211
32.9%
0 1470
21.9%
- 1280
19.0%
1 467
 
6.9%
~ 320
 
4.8%
3 175
 
2.6%
9 144
 
2.1%
5 137
 
2.0%
6 136
 
2.0%
4 131
 
1.9%
Other values (2) 249
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2211
32.9%
0 1470
21.9%
- 1280
19.0%
1 467
 
6.9%
~ 320
 
4.8%
3 175
 
2.6%
9 144
 
2.1%
5 137
 
2.0%
6 136
 
2.0%
4 131
 
1.9%
Other values (2) 249
 
3.7%

교육장소
Text

Distinct66
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:44:13.174731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.39375
Min length1

Characters and Unicode

Total characters2686
Distinct characters158
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)10.3%

Sample

1st row비대면(zoom)
2nd row비대면(zoom)
3rd row비대면(zoom)
4th row비대면(zoom)
5th row희망리본 원주지사
ValueCountFrequency (%)
공무원연금공단 66
 
15.0%
대전지부 53
 
12.0%
전주상공회의소 31
 
7.0%
온라인(자택 25
 
5.7%
줌 17
 
3.9%
부산지부(비대면 17
 
3.9%
부산지부 16
 
3.6%
대강의실 15
 
3.4%
자택(줌 14
 
3.2%
제1교육장 12
 
2.7%
Other values (65) 174
39.5%
2023-12-12T09:44:13.618009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 171
 
6.4%
부 137
 
5.1%
127
 
4.7%
지 122
 
4.5%
대 105
 
3.9%
원 99
 
3.7%
전 87
 
3.2%
( 78
 
2.9%
) 78
 
2.9%
연 75
 
2.8%
Other values (148) 1607
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2329
86.7%
Space Separator 127
 
4.7%
Open Punctuation 78
 
2.9%
Close Punctuation 78
 
2.9%
Decimal Number 38
 
1.4%
Lowercase Letter 20
 
0.7%
Uppercase Letter 10
 
0.4%
Math Symbol 4
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 171
 
7.3%
부 137
 
5.9%
지 122
 
5.2%
대 105
 
4.5%
원 99
 
4.3%
전 87
 
3.7%
연 75
 
3.2%
금 72
 
3.1%
단 72
 
3.1%
무 70
 
3.0%
Other values (130) 1319
56.6%
Decimal Number
ValueCountFrequency (%)
1 16
42.1%
2 9
23.7%
4 5
 
13.2%
0 4
 
10.5%
5 4
 
10.5%
Uppercase Letter
ValueCountFrequency (%)
O 4
40.0%
M 2
20.0%
Z 2
20.0%
K 1
 
10.0%
C 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 10
50.0%
z 5
25.0%
m 5
25.0%
Space Separator
ValueCountFrequency (%)
127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2329
86.7%
Common 327
 
12.2%
Latin 30
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 171
 
7.3%
부 137
 
5.9%
지 122
 
5.2%
대 105
 
4.5%
원 99
 
4.3%
전 87
 
3.7%
연 75
 
3.2%
금 72
 
3.1%
단 72
 
3.1%
무 70
 
3.0%
Other values (130) 1319
56.6%
Common
ValueCountFrequency (%)
127
38.8%
( 78
23.9%
) 78
23.9%
1 16
 
4.9%
2 9
 
2.8%
4 5
 
1.5%
+ 4
 
1.2%
0 4
 
1.2%
5 4
 
1.2%
& 2
 
0.6%
Latin
ValueCountFrequency (%)
o 10
33.3%
z 5
16.7%
m 5
16.7%
O 4
 
13.3%
M 2
 
6.7%
Z 2
 
6.7%
K 1
 
3.3%
C 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2329
86.7%
ASCII 357
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 171
 
7.3%
부 137
 
5.9%
지 122
 
5.2%
대 105
 
4.5%
원 99
 
4.3%
전 87
 
3.7%
연 75
 
3.2%
금 72
 
3.1%
단 72
 
3.1%
무 70
 
3.0%
Other values (130) 1319
56.6%
ASCII
ValueCountFrequency (%)
127
35.6%
( 78
21.8%
) 78
21.8%
1 16
 
4.5%
o 10
 
2.8%
2 9
 
2.5%
4 5
 
1.4%
z 5
 
1.4%
m 5
 
1.4%
+ 4
 
1.1%
Other values (8) 20
 
5.6%

참여인원
Real number (ℝ)

Distinct48
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.4
Minimum5
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T09:44:13.775230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q114
median18
Q324
95-th percentile45.15
Maximum229
Range224
Interquartile range (IQR)10

Descriptive statistics

Standard deviation24.575187
Coefficient of variation (CV)1.0502217
Kurtosis28.290048
Mean23.4
Median Absolute Deviation (MAD)5
Skewness4.9096236
Sum7488
Variance603.93981
MonotonicityNot monotonic
2023-12-12T09:44:13.926643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
15 24
 
7.5%
14 24
 
7.5%
16 21
 
6.6%
20 19
 
5.9%
10 17
 
5.3%
11 16
 
5.0%
21 15
 
4.7%
23 15
 
4.7%
13 15
 
4.7%
26 13
 
4.1%
Other values (38) 141
44.1%
ValueCountFrequency (%)
5 1
 
0.3%
7 1
 
0.3%
8 10
3.1%
9 8
 
2.5%
10 17
5.3%
11 16
5.0%
12 11
3.4%
13 15
4.7%
14 24
7.5%
15 24
7.5%
ValueCountFrequency (%)
229 1
0.3%
167 1
0.3%
164 1
0.3%
157 1
0.3%
146 1
0.3%
141 1
0.3%
112 1
0.3%
108 1
0.3%
105 1
0.3%
98 2
0.6%

수강료
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
무료
320 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 320
100.0%

Length

2023-12-12T09:44:14.064770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:14.195175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 320
100.0%

주최
Text

Distinct62
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:44:14.472858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.021875
Min length3

Characters and Unicode

Total characters3207
Distinct characters146
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)8.8%

Sample

1st row공무원연금공단 강원지부
2nd row공무원연금공단 강원지부
3rd row공무원연금공단 강원지부
4th row공무원연금공단 강원지부
5th row희망리본 원주지사
ValueCountFrequency (%)
공무원연금공단 140
27.6%
대구지부 32
 
6.3%
대전지부 31
 
6.1%
광주광역시 28
 
5.5%
교육청정보원 28
 
5.5%
국민안전관리연합회 19
 
3.7%
전라북도디지털배움터 19
 
3.7%
부산지부 19
 
3.7%
광주지부 16
 
3.2%
경인지부 10
 
2.0%
Other values (57) 165
32.5%
2023-12-12T09:44:15.053820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 282
 
8.8%
원 202
 
6.3%
지 190
 
5.9%
187
 
5.8%
부 176
 
5.5%
연 166
 
5.2%
단 143
 
4.5%
금 142
 
4.4%
무 140
 
4.4%
전 98
 
3.1%
Other values (136) 1481
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2940
91.7%
Space Separator 187
 
5.8%
Uppercase Letter 46
 
1.4%
Lowercase Letter 31
 
1.0%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 282
 
9.6%
원 202
 
6.9%
지 190
 
6.5%
부 176
 
6.0%
연 166
 
5.6%
단 143
 
4.9%
금 142
 
4.8%
무 140
 
4.8%
전 98
 
3.3%
광 77
 
2.6%
Other values (124) 1324
45.0%
Lowercase Letter
ValueCountFrequency (%)
t 14
45.2%
k 8
25.8%
i 7
22.6%
p 1
 
3.2%
o 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
T 23
50.0%
K 17
37.0%
I 6
 
13.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2940
91.7%
Common 190
 
5.9%
Latin 77
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 282
 
9.6%
원 202
 
6.9%
지 190
 
6.5%
부 176
 
6.0%
연 166
 
5.6%
단 143
 
4.9%
금 142
 
4.8%
무 140
 
4.8%
전 98
 
3.3%
광 77
 
2.6%
Other values (124) 1324
45.0%
Latin
ValueCountFrequency (%)
T 23
29.9%
K 17
22.1%
t 14
18.2%
k 8
 
10.4%
i 7
 
9.1%
I 6
 
7.8%
p 1
 
1.3%
o 1
 
1.3%
Common
ValueCountFrequency (%)
187
98.4%
, 1
 
0.5%
( 1
 
0.5%
) 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2940
91.7%
ASCII 267
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 282
 
9.6%
원 202
 
6.9%
지 190
 
6.5%
부 176
 
6.0%
연 166
 
5.6%
단 143
 
4.9%
금 142
 
4.8%
무 140
 
4.8%
전 98
 
3.3%
광 77
 
2.6%
Other values (124) 1324
45.0%
ASCII
ValueCountFrequency (%)
187
70.0%
T 23
 
8.6%
K 17
 
6.4%
t 14
 
5.2%
k 8
 
3.0%
i 7
 
2.6%
I 6
 
2.2%
, 1
 
0.4%
p 1
 
0.4%
o 1
 
0.4%
Other values (2) 2
 
0.7%

지부명(연락처)
Categorical

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
부산 지부(051-630-6861)
66 
광주 지부(062-350-5028~9)
65 
대전 지부(042-600-0536,0547)
63 
대구 지부(053-715-5432~3)
44 
전북 지부(063-281-7744)
32 
Other values (5)
50 

Length

Max length24
Median length21
Mean length20.603125
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원 지부(033-854-4712)
2nd row강원 지부(033-854-4712)
3rd row강원 지부(033-854-4712)
4th row강원 지부(033-854-4712)
5th row강원 지부(033-854-4712)

Common Values

ValueCountFrequency (%)
부산 지부(051-630-6861) 66
20.6%
광주 지부(062-350-5028~9) 65
20.3%
대전 지부(042-600-0536,0547) 63
19.7%
대구 지부(053-715-5432~3) 44
13.8%
전북 지부(063-281-7744) 32
10.0%
강원 지부(033-854-4712) 15
 
4.7%
경인 지부(02-560-2958) 14
 
4.4%
제주 지부(064-720-1604) 12
 
3.8%
서울 지부(02-560-2951) 6
 
1.9%
세종 지부(044-410-1305) 3
 
0.9%

Length

2023-12-12T09:44:15.326752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:15.494941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 66
10.3%
지부(051-630-6861 66
10.3%
광주 65
10.2%
지부(062-350-5028~9 65
10.2%
대전 63
9.8%
지부(042-600-0536,0547 63
9.8%
대구 44
6.9%
지부(053-715-5432~3 44
6.9%
전북 32
 
5.0%
지부(063-281-7744 32
 
5.0%
Other values (10) 100
15.6%

Interactions

2023-12-12T09:44:10.339584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:44:15.615493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육분야교육장소참여인원주최지부명(연락처)
교육분야1.0000.5550.2640.8430.520
교육장소0.5551.0000.6930.9890.999
참여인원0.2640.6931.0000.7030.375
주최0.8430.9890.7031.0000.999
지부명(연락처)0.5200.9990.3750.9991.000
2023-12-12T09:44:15.730071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육분야지부명(연락처)
교육분야1.0000.239
지부명(연락처)0.2391.000
2023-12-12T09:44:15.816184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여인원교육분야지부명(연락처)
참여인원1.0000.1640.189
교육분야0.1641.0000.239
지부명(연락처)0.1890.2391.000

Missing values

2023-12-12T09:44:10.462804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:44:10.629992image/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

교육분야교육명모집기간교육기간교육장소참여인원수강료주최지부명(연락처)
0사회공헌-배움과 나눔업사이클링(양말목 손뜨개)2022-03-07~2022-03-182022-03-29~2022-05-10비대면(zoom)15무료공무원연금공단 강원지부강원 지부(033-854-4712)
1사회공헌-배움과 나눔스마트폰 활용2022-03-07~2022-03-182022-03-25~2022-05-06비대면(zoom)15무료공무원연금공단 강원지부강원 지부(033-854-4712)
2사회공헌-배움과 나눔우쿨렐레 교육(22년 상반기)2022-03-07~2022-03-182022-03-24~2022-05-12비대면(zoom)15무료공무원연금공단 강원지부강원 지부(033-854-4712)
3사회공헌-봉사기본자원봉사 기본교육 (22년 상반기)2022-04-18~2022-04-292022-05-02~2022-05-02비대면(zoom)16무료공무원연금공단 강원지부강원 지부(033-854-4712)
4사회공헌-배움과 나눔안전신문고앱 (0527,원주)2022-05-02~2022-05-132022-05-27~2022-05-27희망리본 원주지사17무료희망리본 원주지사강원 지부(033-854-4712)
5사회공헌-배움과 나눔안전신문고앱 (0525,강릉)2022-05-02~2022-05-132022-05-25~2022-05-25희망리본 강릉지사48무료희망리본 강릉지사강원 지부(033-854-4712)
6사회공헌-배움과 나눔안전신문고앱 (0523, 춘천)2022-05-02~2022-05-132022-05-23~2022-05-23희망리본 춘천지사23무료희망리본 춘천지사강원 지부(033-854-4712)
7사회공헌-배움과 나눔안전신문고앱 교육 (0615, 춘천)2022-05-02~2022-05-132022-06-15~2022-06-15희망리본 원주지사32무료희망리본 원주지사강원 지부(033-854-4712)
8사회공헌-배움과 나눔안전신문고앱 (0603, 원주)2022-05-16~2022-05-272022-06-03~2022-06-03희망리본 원주지사32무료희망리본 원주지사강원 지부(033-854-4712)
9사회공헌-배움과 나눔안전신문고앱 (0607, 동해)2022-05-23~2022-06-032022-06-07~2022-06-07월드비전 동해종합사회복지관16무료월드비전 동해종합사회복지관강원 지부(033-854-4712)
교육분야교육명모집기간교육기간교육장소참여인원수강료주최지부명(연락처)
310은퇴생활지원-은퇴생활지원[제주]스마트폰 활용 기초과정2022-04-27~2022-04-282022-05-03~2022-05-27연금교육장34무료공무원연금공단 제주지부제주 지부(064-720-1604)
311은퇴생활지원-은퇴생활지원[제주]스마트폰 활용 중급과정2022-05-30~2022-06-022022-06-09~2022-07-01제주상록회관51무료공무원연금공단 제주지부제주 지부(064-720-1604)
312사회공헌-봉사기본[제주도]녹색생활 실천교육2022-06-20~2022-06-232022-06-27~2022-06-27제주상록회관27무료아시아기후변화교육센터제주 지부(064-720-1604)
313사회공헌-봉사기본스포츠전신마사지/발건강관리 지도자 양성과정2022-09-02~2022-09-062022-10-06~2022-12-08제주상록회관26무료공무원연금공단 제주지부제주 지부(064-720-1604)
314사회공헌-봉사기본한자지도2022-09-02~2022-09-062022-09-22~2022-11-10제주상록회관15무료공무원연금공단 제주지부제주 지부(064-720-1604)
315사회공헌-봉사기본동화구연2022-09-02~2022-09-062022-10-04~2022-11-22제주상록회관23무료공무원연금공단 제주지부제주 지부(064-720-1604)
316사회공헌-봉사기본문인화2022-09-02~2022-09-062022-09-14~2022-11-30제주상록회관21무료공무원연금공단 제주지부제주 지부(064-720-1604)
317사회공헌-배움과 나눔아코디언(심화과정)2022-09-08~2022-09-142022-09-20~2022-11-22제주상록회관12무료공무원연금공단 제주지부제주 지부(064-720-1604)
318사회공헌-봉사기본자원봉사 상설교육2022-09-16~2022-09-212022-09-28~2022-09-28제주상록회관11무료공무원연금공단 제주지부제주 지부(064-720-1604)
319사회공헌-배움과 나눔스마트폰 영상편집2022-10-21~2022-10-252022-11-01~2022-11-29제주상록회관30무료공무원연금공단 제주지부제주 지부(064-720-1604)