Overview

Dataset statistics

Number of variables5
Number of observations269
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory40.5 B

Variable types

DateTime2
Categorical1
Text2

Dataset

Description보령시립도서관(죽정도서관) 동아리방 사용신청 정보 데이터로 모임명, 사용목적, 신청일, 신청시간을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=414&beforeMenuCd=DOM_000000201001001000&publicdatapk=15039883

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-01-09 21:21:20.875767
Analysis finished2024-01-09 21:21:21.480975
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신청일
Date

Distinct229
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-02-19 00:00:00
Maximum2109-11-28 00:00:00
2024-01-10T06:21:21.530040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:21:21.656814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청시간
Categorical

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
19:00~21:00
184 
15:00~17:00
27 
13:00~15:00
 
18
17:00~19:00
 
15
09:00~11:00
 
14

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19:00~21:00
2nd row19:00~21:00
3rd row19:00~21:00
4th row19:00~21:00
5th row19:00~21:00

Common Values

ValueCountFrequency (%)
19:00~21:00 184
68.4%
15:00~17:00 27
 
10.0%
13:00~15:00 18
 
6.7%
17:00~19:00 15
 
5.6%
09:00~11:00 14
 
5.2%
11:00~13:00 11
 
4.1%

Length

2024-01-10T06:21:21.769794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:21:21.846427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:00~21:00 184
68.4%
15:00~17:00 27
 
10.0%
13:00~15:00 18
 
6.7%
17:00~19:00 15
 
5.6%
09:00~11:00 14
 
5.2%
11:00~13:00 11
 
4.1%

모임명
Text

Distinct63
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-01-10T06:21:22.020491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.8141264
Min length2

Characters and Unicode

Total characters1295
Distinct characters131
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)10.4%

Sample

1st row녹색평론
2nd row보령스피치
3rd row책익는마을
4th row영어스터디
5th row보령서향
ValueCountFrequency (%)
영어스터디 35
 
11.9%
캘리그라피 35
 
11.9%
n4 19
 
6.5%
녹색평론 12
 
4.1%
인피니티 10
 
3.4%
책익는마을 9
 
3.1%
당연하지 9
 
3.1%
독서모임 8
 
2.7%
보령스피치 8
 
2.7%
영어회화 7
 
2.4%
Other values (54) 142
48.3%
2024-01-10T06:21:22.312014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 61
 
4.7%
피 54
 
4.2%
스 48
 
3.7%
어 43
 
3.3%
영 42
 
3.2%
그 38
 
2.9%
캘 35
 
2.7%
라 35
 
2.7%
터 35
 
2.7%
디 35
 
2.7%
Other values (121) 869
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1164
89.9%
Uppercase Letter 41
 
3.2%
Space Separator 30
 
2.3%
Decimal Number 28
 
2.2%
Close Punctuation 9
 
0.7%
Open Punctuation 9
 
0.7%
Lowercase Letter 7
 
0.5%
Other Punctuation 6
 
0.5%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 61
 
5.2%
피 54
 
4.6%
스 48
 
4.1%
어 43
 
3.7%
영 42
 
3.6%
그 38
 
3.3%
캘 35
 
3.0%
라 35
 
3.0%
터 35
 
3.0%
디 35
 
3.0%
Other values (101) 738
63.4%
Decimal Number
ValueCountFrequency (%)
4 20
71.4%
1 4
 
14.3%
9 1
 
3.6%
3 1
 
3.6%
0 1
 
3.6%
8 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
N 19
46.3%
E 8
19.5%
A 5
 
12.2%
S 5
 
12.2%
C 4
 
9.8%
Lowercase Letter
ValueCountFrequency (%)
s 3
42.9%
c 3
42.9%
p 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1164
89.9%
Common 83
 
6.4%
Latin 48
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 61
 
5.2%
피 54
 
4.6%
스 48
 
4.1%
어 43
 
3.7%
영 42
 
3.6%
그 38
 
3.3%
캘 35
 
3.0%
라 35
 
3.0%
터 35
 
3.0%
디 35
 
3.0%
Other values (101) 738
63.4%
Common
ValueCountFrequency (%)
30
36.1%
4 20
24.1%
) 9
 
10.8%
( 9
 
10.8%
. 5
 
6.0%
1 4
 
4.8%
♡ 1
 
1.2%
9 1
 
1.2%
3 1
 
1.2%
0 1
 
1.2%
Other values (2) 2
 
2.4%
Latin
ValueCountFrequency (%)
N 19
39.6%
E 8
16.7%
A 5
 
10.4%
S 5
 
10.4%
C 4
 
8.3%
s 3
 
6.2%
c 3
 
6.2%
p 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1164
89.9%
ASCII 130
 
10.0%
Misc Symbols 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 61
 
5.2%
피 54
 
4.6%
스 48
 
4.1%
어 43
 
3.7%
영 42
 
3.6%
그 38
 
3.3%
캘 35
 
3.0%
라 35
 
3.0%
터 35
 
3.0%
디 35
 
3.0%
Other values (101) 738
63.4%
ASCII
ValueCountFrequency (%)
30
23.1%
4 20
15.4%
N 19
14.6%
) 9
 
6.9%
( 9
 
6.9%
E 8
 
6.2%
. 5
 
3.8%
A 5
 
3.8%
S 5
 
3.8%
1 4
 
3.1%
Other values (9) 16
12.3%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

사용목적
Text

Distinct112
Distinct (%)41.9%
Missing2
Missing (%)0.7%
Memory size2.2 KiB
2024-01-10T06:21:22.562430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length34
Mean length10.700375
Min length2

Characters and Unicode

Total characters2857
Distinct characters216
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

Unique86 ?
Unique (%)32.2%

Sample

1st row독서토론
2nd row보령시 스피치동아리모임
3rd row보령책익는마을 독서토론 모임
4th row영어스터디
5th row보령서향(독서토론 모임) 독서 토론
ValueCountFrequency (%)
독서토론 60
 
8.4%
스터디 60
 
8.4%
토론 34
 
4.8%
캘리그라피 25
 
3.5%
만들기 15
 
2.1%
후 12
 
1.7%
독서 11
 
1.5%
취업 11
 
1.5%
동아리입니다 11
 
1.5%
ncs 11
 
1.5%
Other values (203) 465
65.0%
2024-01-10T06:21:22.936322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
460
 
16.1%
토 117
 
4.1%
론 112
 
3.9%
서 111
 
3.9%
독 100
 
3.5%
터 73
 
2.6%
스 73
 
2.6%
디 69
 
2.4%
리 63
 
2.2%
모 43
 
1.5%
Other values (206) 1636
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2233
78.2%
Space Separator 460
 
16.1%
Other Punctuation 70
 
2.5%
Lowercase Letter 34
 
1.2%
Decimal Number 28
 
1.0%
Uppercase Letter 12
 
0.4%
Open Punctuation 9
 
0.3%
Close Punctuation 9
 
0.3%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 117
 
5.2%
론 112
 
5.0%
서 111
 
5.0%
독 100
 
4.5%
터 73
 
3.3%
스 73
 
3.3%
디 69
 
3.1%
리 63
 
2.8%
모 43
 
1.9%
동 43
 
1.9%
Other values (180) 1429
64.0%
Decimal Number
ValueCountFrequency (%)
1 12
42.9%
2 5
17.9%
0 5
17.9%
4 2
 
7.1%
5 2
 
7.1%
9 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 35
50.0%
\ 16
22.9%
, 9
 
12.9%
" 6
 
8.6%
! 3
 
4.3%
/ 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
s 11
32.4%
c 11
32.4%
r 6
17.6%
n 6
17.6%
Uppercase Letter
ValueCountFrequency (%)
N 11
91.7%
A 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
[ 7
77.8%
( 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
] 7
77.8%
) 2
 
22.2%
Space Separator
ValueCountFrequency (%)
460
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2233
78.2%
Common 578
 
20.2%
Latin 46
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 117
 
5.2%
론 112
 
5.0%
서 111
 
5.0%
독 100
 
4.5%
터 73
 
3.3%
스 73
 
3.3%
디 69
 
3.1%
리 63
 
2.8%
모 43
 
1.9%
동 43
 
1.9%
Other values (180) 1429
64.0%
Common
ValueCountFrequency (%)
460
79.6%
. 35
 
6.1%
\ 16
 
2.8%
1 12
 
2.1%
, 9
 
1.6%
[ 7
 
1.2%
] 7
 
1.2%
" 6
 
1.0%
2 5
 
0.9%
0 5
 
0.9%
Other values (10) 16
 
2.8%
Latin
ValueCountFrequency (%)
N 11
23.9%
s 11
23.9%
c 11
23.9%
r 6
13.0%
n 6
13.0%
A 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2233
78.2%
ASCII 624
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
460
73.7%
. 35
 
5.6%
\ 16
 
2.6%
1 12
 
1.9%
N 11
 
1.8%
s 11
 
1.8%
c 11
 
1.8%
, 9
 
1.4%
[ 7
 
1.1%
] 7
 
1.1%
Other values (16) 45
 
7.2%
Hangul
ValueCountFrequency (%)
토 117
 
5.2%
론 112
 
5.0%
서 111
 
5.0%
독 100
 
4.5%
터 73
 
3.3%
스 73
 
3.3%
디 69
 
3.1%
리 63
 
2.8%
모 43
 
1.9%
동 43
 
1.9%
Other values (180) 1429
64.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2021-07-15 00:00:00
Maximum2021-07-15 00:00:00
2024-01-10T06:21:23.027109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:21:23.095333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T06:21:23.150131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청시간모임명
신청시간1.0000.985
모임명0.9851.000

Missing values

2024-01-10T06:21:21.148150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:21:21.452582image/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

신청일신청시간모임명사용목적데이터기준일자
02018-02-2819:00~21:00녹색평론독서토론2021-07-15
12018-02-2119:00~21:00보령스피치보령시 스피치동아리모임2021-07-15
22018-02-2319:00~21:00책익는마을보령책익는마을 독서토론 모임2021-07-15
32018-02-2219:00~21:00영어스터디영어스터디2021-07-15
42018-02-1919:00~21:00보령서향보령서향(독서토론 모임) 독서 토론2021-07-15
52018-03-0819:00~21:00영어스터디스터디2021-07-15
62018-03-1519:00~21:00영어스터디스터디2021-07-15
72018-03-2219:00~21:00영어스터디스터디2021-07-15
82018-03-2919:00~21:00영어스터디스터디2021-07-15
92018-03-1619:00~21:00보령서향독서토론회2021-07-15
신청일신청시간모임명사용목적데이터기준일자
2592020-02-0111:00~13:00책읽마을(책익는마을)독서토론2021-07-15
2602020-01-3015:00~17:00N4취업 스터디 동아리입니다. Ncs 모의고사 풀이 후 피드백 예정.2021-07-15
2612020-01-3115:00~17:00N4취업 스터디 동아리입니다. Ncs 모의고사 풀이 후 피드백 예정.2021-07-15
2622020-02-0615:00~17:00N4취업 스터디 동아리입니다. Ncs 모의고사 풀이 후 피드백 예정.2021-07-15
2632020-02-0715:00~17:00N4취업 스터디 동아리입니다. Ncs 모의고사 풀이 후 피드백 예정.2021-07-15
2642020-02-0609:00~11:00에브리원영어로 말하기2021-07-15
2652020-02-1309:00~11:00에브리원영어로 말하기2021-07-15
2662020-02-1315:00~17:00N4취업 스터디 동아리입니다. Ncs 모의고사 풀이 후 피드백 예정.2021-07-15
2672020-02-1415:00~17:00N4취업 스터디 동아리입니다. Ncs 모의고사 풀이 후 피드백 예정.2021-07-15
2682020-08-2919:00~21:00보령공부취업시험 스터디를 하려고합니다2021-07-15