Overview

Dataset statistics

Number of variables16
Number of observations206
Missing cells307
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.7 KiB
Average record size in memory132.6 B

Variable types

Numeric3
Text6
Categorical5
DateTime2

Dataset

Description광주광역시 도서관 홈페이지에 개시된 문화강좌입니다. 데이터는 강좌명, 강좌대상, 인원, 대기인원 등으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15120391/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 논평High correlation
인원 is highly overall correlated with 위치 and 1 other fieldsHigh correlation
대기인원 is highly overall correlated with 논평High correlation
비용 is highly overall correlated with 논평High correlation
위치 is highly overall correlated with 인원High correlation
논평 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
비용 is highly imbalanced (62.5%)Imbalance
논평 is highly imbalanced (74.4%)Imbalance
강좌날짜 has 65 (31.6%) missing valuesMissing
재료 has 44 (21.4%) missing valuesMissing
강사 has 198 (96.1%) missing valuesMissing
순번 has unique valuesUnique
대기인원 has 29 (14.1%) zerosZeros

Reproduction

Analysis started2023-12-12 14:47:41.877022
Analysis finished2023-12-12 14:47:44.723707
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5
Minimum1
Maximum206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:47:44.808126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.25
Q152.25
median103.5
Q3154.75
95-th percentile195.75
Maximum206
Range205
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation59.611241
Coefficient of variation (CV)0.57595401
Kurtosis-1.2
Mean103.5
Median Absolute Deviation (MAD)51.5
Skewness0
Sum21321
Variance3553.5
MonotonicityStrictly increasing
2023-12-12T23:47:44.964545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
143 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
Other values (196) 196
95.1%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%

제목
Text

Distinct190
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T23:47:45.294249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length41
Mean length31.674757
Min length3

Characters and Unicode

Total characters6525
Distinct characters378
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)87.4%

Sample

1st row테스트
2nd row테스트
3rd row2019년 계림꿈나무도서관 여름방학 독서교실
4th row2019년 작은도서관 겨울방학 특강 신청(지원2동작은도서관, 토요일)
5th row2019년 작은도서관 겨울방학 특강 신청(학운동작은도서관, 토요일)
ValueCountFrequency (%)
독서문화프로그램 29
 
2.7%
그림책 24
 
2.2%
만들기 21
 
1.9%
20
 
1.8%
작은도서관 20
 
1.8%
모집 19
 
1.8%
프로그램 17
 
1.6%
2020 15
 
1.4%
읽기 15
 
1.4%
참여자 15
 
1.4%
Other values (484) 887
82.0%
2023-12-12T23:47:45.849655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
 
13.4%
( 176
 
2.7%
) 176
 
2.7%
서 149
 
2.3%
2 117
 
1.8%
도 113
 
1.7%
[ 112
 
1.7%
기 112
 
1.7%
] 112
 
1.7%
나 103
 
1.6%
Other values (368) 4478
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4278
65.6%
Space Separator 877
 
13.4%
Decimal Number 464
 
7.1%
Open Punctuation 291
 
4.5%
Close Punctuation 291
 
4.5%
Other Punctuation 151
 
2.3%
Math Symbol 89
 
1.4%
Dash Punctuation 54
 
0.8%
Lowercase Letter 17
 
0.3%
Uppercase Letter 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 149
 
3.5%
도 113
 
2.6%
기 112
 
2.6%
나 103
 
2.4%
림 100
 
2.3%
관 100
 
2.3%
학 100
 
2.3%
동 89
 
2.1%
그 85
 
2.0%
계 77
 
1.8%
Other values (322) 3250
76.0%
Decimal Number
ValueCountFrequency (%)
2 117
25.2%
1 94
20.3%
0 84
18.1%
3 47
10.1%
4 33
 
7.1%
6 33
 
7.1%
5 17
 
3.7%
7 17
 
3.7%
8 13
 
2.8%
9 9
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
t 4
23.5%
e 3
17.6%
u 2
11.8%
p 2
11.8%
s 2
11.8%
k 1
 
5.9%
i 1
 
5.9%
x 1
 
5.9%
n 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 51
33.8%
! 40
26.5%
' 30
19.9%
, 20
 
13.2%
: 5
 
3.3%
· 2
 
1.3%
& 2
 
1.3%
? 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 3
30.0%
T 2
20.0%
S 1
 
10.0%
E 1
 
10.0%
O 1
 
10.0%
H 1
 
10.0%
U 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 176
60.5%
[ 112
38.5%
「 3
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 176
60.5%
] 112
38.5%
」 3
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 85
95.5%
> 2
 
2.2%
< 2
 
2.2%
Space Separator
ValueCountFrequency (%)
877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4276
65.5%
Common 2220
34.0%
Latin 27
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 149
 
3.5%
도 113
 
2.6%
기 112
 
2.6%
나 103
 
2.4%
림 100
 
2.3%
관 100
 
2.3%
학 100
 
2.3%
동 89
 
2.1%
그 85
 
2.0%
계 77
 
1.8%
Other values (320) 3248
76.0%
Common
ValueCountFrequency (%)
877
39.5%
( 176
 
7.9%
) 176
 
7.9%
2 117
 
5.3%
[ 112
 
5.0%
] 112
 
5.0%
1 94
 
4.2%
~ 85
 
3.8%
0 84
 
3.8%
- 54
 
2.4%
Other values (20) 333
 
15.0%
Latin
ValueCountFrequency (%)
t 4
14.8%
P 3
11.1%
e 3
11.1%
T 2
 
7.4%
u 2
 
7.4%
p 2
 
7.4%
s 2
 
7.4%
S 1
 
3.7%
E 1
 
3.7%
k 1
 
3.7%
Other values (6) 6
22.2%
Han
ValueCountFrequency (%)
宮 1
50.0%
城 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4276
65.5%
ASCII 2239
34.3%
None 8
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
877
39.2%
( 176
 
7.9%
) 176
 
7.9%
2 117
 
5.2%
[ 112
 
5.0%
] 112
 
5.0%
1 94
 
4.2%
~ 85
 
3.8%
0 84
 
3.8%
- 54
 
2.4%
Other values (33) 352
15.7%
Hangul
ValueCountFrequency (%)
서 149
 
3.5%
도 113
 
2.6%
기 112
 
2.6%
나 103
 
2.4%
림 100
 
2.3%
관 100
 
2.3%
학 100
 
2.3%
동 89
 
2.1%
그 85
 
2.0%
계 77
 
1.8%
Other values (320) 3248
76.0%
None
ValueCountFrequency (%)
「 3
37.5%
」 3
37.5%
· 2
25.0%
CJK
ValueCountFrequency (%)
宮 1
50.0%
城 1
50.0%

대상
Text

Distinct94
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T23:47:46.190351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.0728155
Min length2

Characters and Unicode

Total characters1457
Distinct characters68
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

Unique61 ?
Unique (%)29.6%

Sample

1st row7세 ~ 11세
2nd row7세 ~ 11세
3rd row초등학생 2~5학년
4th row초등학생 1~5학년
5th row초등학생 1~5학년
ValueCountFrequency (%)
초등학교 39
 
11.0%
아동 37
 
10.5%
성인 32
 
9.1%
초등학생 25
 
7.1%
유아 15
 
4.2%
1~3학년 13
 
3.7%
및 13
 
3.7%
보호자 11
 
3.1%
관내 7
 
2.0%
19~36개월 6
 
1.7%
Other values (76) 155
43.9%
2023-12-12T23:47:46.629795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 163
 
11.2%
148
 
10.2%
~ 108
 
7.4%
초 84
 
5.8%
년 84
 
5.8%
등 83
 
5.7%
1 65
 
4.5%
아 64
 
4.4%
6 46
 
3.2%
3 46
 
3.2%
Other values (58) 566
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 881
60.5%
Decimal Number 282
 
19.4%
Space Separator 148
 
10.2%
Math Symbol 108
 
7.4%
Dash Punctuation 15
 
1.0%
Lowercase Letter 8
 
0.5%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Uppercase Letter 4
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 163
18.5%
초 84
 
9.5%
년 84
 
9.5%
등 83
 
9.4%
아 64
 
7.3%
교 43
 
4.9%
세 41
 
4.7%
동 39
 
4.4%
인 34
 
3.9%
성 33
 
3.7%
Other values (35) 213
24.2%
Decimal Number
ValueCountFrequency (%)
1 65
23.0%
6 46
16.3%
3 46
16.3%
4 35
12.4%
2 25
 
8.9%
5 23
 
8.2%
7 20
 
7.1%
9 10
 
3.5%
8 10
 
3.5%
0 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
t 4
50.0%
s 2
25.0%
e 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
S 1
25.0%
E 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
148
100.0%
Math Symbol
ValueCountFrequency (%)
~ 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 881
60.5%
Common 564
38.7%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 163
18.5%
초 84
 
9.5%
년 84
 
9.5%
등 83
 
9.4%
아 64
 
7.3%
교 43
 
4.9%
세 41
 
4.7%
동 39
 
4.4%
인 34
 
3.9%
성 33
 
3.7%
Other values (35) 213
24.2%
Common
ValueCountFrequency (%)
148
26.2%
~ 108
19.1%
1 65
11.5%
6 46
 
8.2%
3 46
 
8.2%
4 35
 
6.2%
2 25
 
4.4%
5 23
 
4.1%
7 20
 
3.5%
- 15
 
2.7%
Other values (7) 33
 
5.9%
Latin
ValueCountFrequency (%)
t 4
33.3%
T 2
16.7%
s 2
16.7%
e 2
16.7%
S 1
 
8.3%
E 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 881
60.5%
ASCII 576
39.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 163
18.5%
초 84
 
9.5%
년 84
 
9.5%
등 83
 
9.4%
아 64
 
7.3%
교 43
 
4.9%
세 41
 
4.7%
동 39
 
4.4%
인 34
 
3.9%
성 33
 
3.7%
Other values (35) 213
24.2%
ASCII
ValueCountFrequency (%)
148
25.7%
~ 108
18.8%
1 65
11.3%
6 46
 
8.0%
3 46
 
8.0%
4 35
 
6.1%
2 25
 
4.3%
5 23
 
4.0%
7 20
 
3.5%
- 15
 
2.6%
Other values (13) 45
 
7.8%

인원
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.703883
Minimum0
Maximum50
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:47:47.125572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median10
Q315
95-th percentile20
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.1979292
Coefficient of variation (CV)0.52956176
Kurtosis17.398588
Mean11.703883
Median Absolute Deviation (MAD)2
Skewness3.356821
Sum2411
Variance38.414326
MonotonicityNot monotonic
2023-12-12T23:47:47.261384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 83
40.3%
15 38
18.4%
8 24
 
11.7%
12 13
 
6.3%
20 8
 
3.9%
5 6
 
2.9%
9 5
 
2.4%
16 4
 
1.9%
4 4
 
1.9%
14 3
 
1.5%
Other values (10) 18
 
8.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%
4 4
 
1.9%
5 6
 
2.9%
6 3
 
1.5%
7 1
 
0.5%
8 24
11.7%
9 5
 
2.4%
ValueCountFrequency (%)
50 2
 
1.0%
45 1
 
0.5%
30 3
 
1.5%
20 8
 
3.9%
16 4
 
1.9%
15 38
18.4%
14 3
 
1.5%
13 3
 
1.5%
12 13
 
6.3%
10 83
40.3%

대기인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3300971
Minimum0
Maximum20
Zeros29
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T23:47:47.395654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9.75
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9710419
Coefficient of variation (CV)0.89217875
Kurtosis10.83249
Mean3.3300971
Median Absolute Deviation (MAD)1
Skewness2.6736362
Sum686
Variance8.8270897
MonotonicityNot monotonic
2023-12-12T23:47:47.541504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 65
31.6%
2 50
24.3%
5 42
20.4%
0 29
14.1%
10 6
 
2.9%
1 4
 
1.9%
15 2
 
1.0%
8 2
 
1.0%
20 2
 
1.0%
12 1
 
0.5%
Other values (3) 3
 
1.5%
ValueCountFrequency (%)
0 29
14.1%
1 4
 
1.9%
2 50
24.3%
3 65
31.6%
4 1
 
0.5%
5 42
20.4%
6 1
 
0.5%
8 2
 
1.0%
9 1
 
0.5%
10 6
 
2.9%
ValueCountFrequency (%)
20 2
 
1.0%
15 2
 
1.0%
12 1
 
0.5%
10 6
 
2.9%
9 1
 
0.5%
8 2
 
1.0%
6 1
 
0.5%
5 42
20.4%
4 1
 
0.5%
3 65
31.6%

최대신청인원
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
84 
1
61 
2
61 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 84
40.8%
1 61
29.6%
2 61
29.6%

Length

2023-12-12T23:47:47.699463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:47:47.818754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
40.8%
1 61
29.6%
2 61
29.6%

시작일
Date

Distinct144
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-12-01 00:00:00
Maximum2023-08-31 00:00:00
2023-12-12T23:47:47.946750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:48.101882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct142
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-08-14 00:00:00
Maximum2023-11-03 00:00:00
2023-12-12T23:47:48.276825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:48.460892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강좌날짜
Text

MISSING 

Distinct120
Distinct (%)85.1%
Missing65
Missing (%)31.6%
Memory size1.7 KiB
2023-12-12T23:47:48.790724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length87
Mean length42.255319
Min length5

Characters and Unicode

Total characters5958
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)73.0%

Sample

1st row2018-12-05 2018-12-12 2018-12-19 2018-12-26
2nd row2018-12-05 2018-12-12 2018-12-19 2018-12-26
3rd row2019-12-21,2020-1-18
4th row2019-12-21,2020-1-18
5th row2020-08-10 2020-08-11 2020-08-12 2020-08-14
ValueCountFrequency (%)
2022-04-16 4
 
0.9%
2021-11-23 4
 
0.9%
2022-08-19 4
 
0.9%
2021-11-24 4
 
0.9%
2021-11-17 4
 
0.9%
2022-08-17 4
 
0.9%
2021-11-03 4
 
0.9%
2021-11-30 4
 
0.9%
2021-12-07 4
 
0.9%
2021-12-14 4
 
0.9%
Other values (265) 392
90.7%
2023-12-12T23:47:49.279767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1567
26.3%
0 1246
20.9%
- 1106
18.6%
1 811
13.6%
278
 
4.7%
3 164
 
2.8%
8 145
 
2.4%
, 135
 
2.3%
6 107
 
1.8%
9 105
 
1.8%
Other values (8) 294
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4422
74.2%
Dash Punctuation 1106
 
18.6%
Control 278
 
4.7%
Other Punctuation 135
 
2.3%
Space Separator 13
 
0.2%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1567
35.4%
0 1246
28.2%
1 811
18.3%
3 164
 
3.7%
8 145
 
3.3%
6 107
 
2.4%
9 105
 
2.4%
4 96
 
2.2%
7 92
 
2.1%
5 89
 
2.0%
Other Letter
ValueCountFrequency (%)
별 1
25.0%
도 1
25.0%
공 1
25.0%
지 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1106
100.0%
Control
ValueCountFrequency (%)
278
100.0%
Other Punctuation
ValueCountFrequency (%)
, 135
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5954
99.9%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1567
26.3%
0 1246
20.9%
- 1106
18.6%
1 811
13.6%
278
 
4.7%
3 164
 
2.8%
8 145
 
2.4%
, 135
 
2.3%
6 107
 
1.8%
9 105
 
1.8%
Other values (4) 290
 
4.9%
Hangul
ValueCountFrequency (%)
별 1
25.0%
도 1
25.0%
공 1
25.0%
지 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5954
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1567
26.3%
0 1246
20.9%
- 1106
18.6%
1 811
13.6%
278
 
4.7%
3 164
 
2.8%
8 145
 
2.4%
, 135
 
2.3%
6 107
 
1.8%
9 105
 
1.8%
Other values (4) 290
 
4.9%
Hangul
ValueCountFrequency (%)
별 1
25.0%
도 1
25.0%
공 1
25.0%
지 1
25.0%

시간
Text

Distinct111
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T23:47:49.642734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length11.941748
Min length1

Characters and Unicode

Total characters2460
Distinct characters47
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

Unique78 ?
Unique (%)37.9%

Sample

1st row14:00 ~ 16:00
2nd row14:00 ~ 16:00
3rd row09:30~12:30
4th row10:00~12:00
5th row14:00~16:00
ValueCountFrequency (%)
매주 29
 
8.3%
10:00~11:30 19
 
5.4%
15
 
4.3%
토요일 14
 
4.0%
금요일 12
 
3.4%
10:00~12:00 11
 
3.1%
14:00~16:00 11
 
3.1%
16:00 10
 
2.8%
10:30~12:00 9
 
2.6%
10:00 9
 
2.6%
Other values (97) 212
60.4%
2023-12-12T23:47:50.072366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 646
26.3%
1 399
16.2%
: 337
13.7%
~ 160
 
6.5%
145
 
5.9%
3 113
 
4.6%
2 69
 
2.8%
4 60
 
2.4%
6 58
 
2.4%
일 44
 
1.8%
Other values (37) 429
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1442
58.6%
Other Punctuation 382
 
15.5%
Other Letter 283
 
11.5%
Math Symbol 160
 
6.5%
Space Separator 145
 
5.9%
Open Punctuation 21
 
0.9%
Close Punctuation 21
 
0.9%
Lowercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 44
15.5%
요 42
14.8%
주 30
10.6%
매 29
10.2%
토 22
7.8%
금 17
 
6.0%
시 17
 
6.0%
수 15
 
5.3%
화 13
 
4.6%
목 9
 
3.2%
Other values (14) 45
15.9%
Decimal Number
ValueCountFrequency (%)
0 646
44.8%
1 399
27.7%
3 113
 
7.8%
2 69
 
4.8%
4 60
 
4.2%
6 58
 
4.0%
7 31
 
2.1%
5 26
 
1.8%
8 20
 
1.4%
9 20
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 337
88.2%
. 30
 
7.9%
, 7
 
1.8%
/ 7
 
1.8%
; 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
z 1
25.0%
m 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 160
100.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2173
88.3%
Hangul 283
 
11.5%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 44
15.5%
요 42
14.8%
주 30
10.6%
매 29
10.2%
토 22
7.8%
금 17
 
6.0%
시 17
 
6.0%
수 15
 
5.3%
화 13
 
4.6%
목 9
 
3.2%
Other values (14) 45
15.9%
Common
ValueCountFrequency (%)
0 646
29.7%
1 399
18.4%
: 337
15.5%
~ 160
 
7.4%
145
 
6.7%
3 113
 
5.2%
2 69
 
3.2%
4 60
 
2.8%
6 58
 
2.7%
7 31
 
1.4%
Other values (10) 155
 
7.1%
Latin
ValueCountFrequency (%)
o 2
50.0%
z 1
25.0%
m 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2177
88.5%
Hangul 283
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 646
29.7%
1 399
18.3%
: 337
15.5%
~ 160
 
7.3%
145
 
6.7%
3 113
 
5.2%
2 69
 
3.2%
4 60
 
2.8%
6 58
 
2.7%
7 31
 
1.4%
Other values (13) 159
 
7.3%
Hangul
ValueCountFrequency (%)
일 44
15.5%
요 42
14.8%
주 30
10.6%
매 29
10.2%
토 22
7.8%
금 17
 
6.0%
시 17
 
6.0%
수 15
 
5.3%
화 13
 
4.6%
목 9
 
3.2%
Other values (14) 45
15.9%

비용
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
무료
155 
<NA>
26 
전액무료
 
5
무료(프로그램 재료 제공)
 
5
무료(프로그램 재료 지급)
 
3
Other values (10)
 
12

Length

Max length25
Median length2
Mean length3.3592233
Min length2

Unique

Unique8 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
무료 155
75.2%
<NA> 26
 
12.6%
전액무료 5
 
2.4%
무료(프로그램 재료 제공) 5
 
2.4%
무료(프로그램 재료 지급) 3
 
1.5%
참가비, 활동비 무료 2
 
1.0%
무료(활동 준비물 제공) 2
 
1.0%
재료비 개인 부담 1
 
0.5%
재료비 16,000원(1회당 2,000원) 1
 
0.5%
9999999 1
 
0.5%
Other values (5) 5
 
2.4%

Length

2023-12-12T23:47:50.193580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 157
64.3%
na 26
 
10.7%
재료 9
 
3.7%
무료(프로그램 8
 
3.3%
제공 8
 
3.3%
전액무료 5
 
2.0%
준비물 4
 
1.6%
지급 4
 
1.6%
재료비 2
 
0.8%
무료(활동 2
 
0.8%
Other values (17) 19
 
7.8%

위치
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
계림꿈나무도서관
42 
계림꿈나무도서관 5층
19 
계림꿈나무도서관 4층
17 
지원2동 작은도서관
11 
학운동 작은도서관
 
10
Other values (45)
107 

Length

Max length38
Median length36
Mean length13.529126
Min length2

Unique

Unique21 ?
Unique (%)10.2%

Sample

1st row별관 1층 열리누리실
2nd row별관 1층 열리누리실
3rd row계림꿈나무도서관 5층
4th row지원2동작은도서관
5th row학운동작은도서관

Common Values

ValueCountFrequency (%)
계림꿈나무도서관 42
20.4%
계림꿈나무도서관 5층 19
 
9.2%
계림꿈나무도서관 4층 17
 
8.3%
지원2동 작은도서관 11
 
5.3%
학운동 작은도서관 10
 
4.9%
지원2동 작은도서관(동구 화산로 361, 지원2동 행정복지센터 4층) 9
 
4.4%
비대면 화상수업 7
 
3.4%
비대면 6
 
2.9%
지원2동작은도서관 6
 
2.9%
학운동 작은도서관(의재로43번길 27-3, 동구 청소년수련관 2층) 6
 
2.9%
Other values (40) 73
35.4%

Length

2023-12-12T23:47:50.304209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계림꿈나무도서관 82
16.9%
비대면 37
 
7.6%
작은도서관 33
 
6.8%
지원2동 31
 
6.4%
4층 27
 
5.6%
5층 19
 
3.9%
학운동 18
 
3.7%
수령 15
 
3.1%
지산2동 14
 
2.9%
행정복지센터 11
 
2.3%
Other values (54) 197
40.7%

재료
Text

MISSING 

Distinct62
Distinct (%)38.3%
Missing44
Missing (%)21.4%
Memory size1.7 KiB
2023-12-12T23:47:50.554748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length11.845679
Min length2

Characters and Unicode

Total characters1919
Distinct characters201
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

Unique45 ?
Unique (%)27.8%

Sample

1st row(공통)필기도구
2nd row(공통)필기도구
3rd row필기도구, 재료꾸러미(별도 수령 안내)
4th row필기도구, 재료꾸러미(별도 수령 안내)
5th row(공통)필기도구
ValueCountFrequency (%)
없음 36
 
8.0%
프로그램 34
 
7.6%
노쇼금지 27
 
6.0%
재료 22
 
4.9%
제공 18
 
4.0%
필기도구 18
 
4.0%
키트 18
 
4.0%
수령 16
 
3.6%
현장 15
 
3.3%
12
 
2.7%
Other values (115) 233
51.9%
2023-12-12T23:47:50.911113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
15.0%
지 69
 
3.6%
도 58
 
3.0%
( 52
 
2.7%
) 52
 
2.7%
필 45
 
2.3%
, 39
 
2.0%
없 36
 
1.9%
음 36
 
1.9%
프 36
 
1.9%
Other values (191) 1209
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1364
71.1%
Space Separator 287
 
15.0%
Other Punctuation 87
 
4.5%
Open Punctuation 52
 
2.7%
Close Punctuation 52
 
2.7%
Decimal Number 43
 
2.2%
Uppercase Letter 20
 
1.0%
Dash Punctuation 13
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 69
 
5.1%
도 58
 
4.3%
필 45
 
3.3%
없 36
 
2.6%
음 36
 
2.6%
프 36
 
2.6%
그 35
 
2.6%
램 34
 
2.5%
로 34
 
2.5%
공 34
 
2.5%
Other values (168) 947
69.4%
Other Punctuation
ValueCountFrequency (%)
, 39
44.8%
! 28
32.2%
/ 13
 
14.9%
: 3
 
3.4%
. 3
 
3.4%
· 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 14
32.6%
4 12
27.9%
1 8
18.6%
5 3
 
7.0%
9 3
 
7.0%
3 3
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
50.0%
C 3
 
15.0%
P 3
 
15.0%
O 2
 
10.0%
M 1
 
5.0%
Z 1
 
5.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1364
71.1%
Common 535
 
27.9%
Latin 20
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 69
 
5.1%
도 58
 
4.3%
필 45
 
3.3%
없 36
 
2.6%
음 36
 
2.6%
프 36
 
2.6%
그 35
 
2.6%
램 34
 
2.5%
로 34
 
2.5%
공 34
 
2.5%
Other values (168) 947
69.4%
Common
ValueCountFrequency (%)
287
53.6%
( 52
 
9.7%
) 52
 
9.7%
, 39
 
7.3%
! 28
 
5.2%
2 14
 
2.6%
- 13
 
2.4%
/ 13
 
2.4%
4 12
 
2.2%
1 8
 
1.5%
Other values (7) 17
 
3.2%
Latin
ValueCountFrequency (%)
B 10
50.0%
C 3
 
15.0%
P 3
 
15.0%
O 2
 
10.0%
M 1
 
5.0%
Z 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1364
71.1%
ASCII 554
28.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
51.8%
( 52
 
9.4%
) 52
 
9.4%
, 39
 
7.0%
! 28
 
5.1%
2 14
 
2.5%
- 13
 
2.3%
/ 13
 
2.3%
4 12
 
2.2%
B 10
 
1.8%
Other values (12) 34
 
6.1%
Hangul
ValueCountFrequency (%)
지 69
 
5.1%
도 58
 
4.3%
필 45
 
3.3%
없 36
 
2.6%
음 36
 
2.6%
프 36
 
2.6%
그 35
 
2.6%
램 34
 
2.5%
로 34
 
2.5%
공 34
 
2.5%
Other values (168) 947
69.4%
None
ValueCountFrequency (%)
· 1
100.0%

논평
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
180 
-접수 후 불참시 사전 연락 주십시요 -프로그램 진행 전 사전 테스트 및 사용법 안내를 위한 예비 테스트가 있습니다 -실시간 양방향 화상수업 가능한 카메라장착된 pc, 노트북 권장합니다 -동일 프로그램으로 1,2기 중복 신청 불가합니다
 
7
프로그램 신청인원이 7명 이하의 경우 프로그램 미개설
 
5
*프로그램 신청인원(5명)이하의 경우 프로그램 미 개설
 
3
프로그램 신청인원 7명 이하의 경우 프로그램 미 개설
 
2
Other values (8)
 
9

Length

Max length131
Median length4
Mean length10.878641
Min length4

Unique

Unique7 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 180
87.4%
-접수 후 불참시 사전 연락 주십시요 -프로그램 진행 전 사전 테스트 및 사용법 안내를 위한 예비 테스트가 있습니다 -실시간 양방향 화상수업 가능한 카메라장착된 pc, 노트북 권장합니다 -동일 프로그램으로 1,2기 중복 신청 불가합니다 7
 
3.4%
프로그램 신청인원이 7명 이하의 경우 프로그램 미개설 5
 
2.4%
*프로그램 신청인원(5명)이하의 경우 프로그램 미 개설 3
 
1.5%
프로그램 신청인원 7명 이하의 경우 프로그램 미 개설 2
 
1.0%
프로그램 신청인원7명 이하의 경우 프로그램 미개설 2
 
1.0%
*최소인원(5명) 이하의 경우 프로그램 미 개설 1
 
0.5%
*프로그램 신청인원(5명) 이하의 경우 프로그램 미 개설 1
 
0.5%
프로그램 신청 인원 7명 이하의 경우 프로그램 미개설 1
 
0.5%
프로그램 신청인원7명이하의 경우 프로그램 미개설 1
 
0.5%
Other values (3) 3
 
1.5%

Length

2023-12-12T23:47:51.023999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 180
34.2%
프로그램 38
 
7.2%
경우 16
 
3.0%
사전 14
 
2.7%
이하의 12
 
2.3%
미개설 9
 
1.7%
7명 8
 
1.5%
신청 8
 
1.5%
진행 7
 
1.3%
노트북 7
 
1.3%
Other values (51) 227
43.2%

강사
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing198
Missing (%)96.1%
Memory size1.7 KiB
2023-12-12T23:47:51.185014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length454
Median length361.5
Mean length328.125
Min length114

Characters and Unicode

Total characters2625
Distinct characters193
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row<p><img alt="" src="/attach/editor/20201110142441JPe8Zb1nvWUApeY7iRES.jpg" style="width: 400px; height: 500px;"></p> <p>동화작가 윤미경&nbsp;</p> <p>동화와 동시를 쓰고 그림을 그리니다.</p> <p>시간거북이의 어제안경, 토뚜기가 뛴다, 반짝반짝 별찌 외 다수 등</p> <p>다양한 어린이 책을 만들고 있습니다</p>
2nd row<p><img alt="" src="/attach/editor/20210218143646S2jBwvWP8NOujdlZD5Th.jpg" style="width: 433px; height: 225px;">&nbsp;<img alt="" src="/attach/editor/20210218143706HtphNRYQRkDYek6qMqZA.jpg" style="width: 422px; height: 222px;"></p> <p>&nbsp;강사: 오은영 ( 마음하나심리상담연구소 대표)</p> <p>서울에 오은영 박사님이 계신다면 광주에도 친근한 오은영 강사님이 계십니다</p> <p>&nbsp;우리 아이의 건강한 성장을 위해 오늘도&nbsp; 고군분투 엄마, 아빠의 일상에&nbsp; 힘을 보태어 드릴게요</p> <p>&nbsp;</p>
3rd row<p><img alt="" src="https://lib.donggu.kr/attach/editor/20210218143646S2jBwvWP8NOujdlZD5Th.jpg" style="width: 433px; height: 225px;">&nbsp;<img alt="" src="https://lib.donggu.kr/attach/editor/20210218143706HtphNRYQRkDYek6qMqZA.jpg" style="width: 422px; height: 222px;"></p> <p>&nbsp;강사: 오은영 ( 마음하나심리상담연구소 대표)</p> <p>서울에 오은영 박사님이 계신다면 광주에도 친근한 오은영 강사님이 계십니다</p> <p>&nbsp;우리 아이의 건강한 성장을 위해 오늘도&nbsp; 고군분투 엄마, 아빠의 일상에&nbsp; 힘을 보태어 드릴게요</p> <p>&nbsp;</p>
4th row<p><img alt="" src="/attach/editor/20210621102623PQ0zDGz9lwid1huHkcm6.jpg" style="width: 406px; height: 266px;"><img alt="" src="/attach/editor/20210621102701HozhkjQRSksvcAYLY81L.jpg" style="width: 404px; height: 267px;"></p> <p>강사 : 오은영(마음하나심리상담연구소 대표)</p> <p>서울에 오은영 박사님이 계신다면, 광주에도 친근한 오은영 강사님이 계십니다.</p> <p>우리 아이의 건강한 성장을 위해 오늘도 고군분투하는 엄마, 아빠의 일상에 힘을 보태드릴게요.</p> <p>&nbsp;</p>
5th row<p><img alt="" src="/attach/editor/20210621103410sa8iTsh4aH2WFgAQAj71.jpg" style="width: 351px; height: 249px;"><img alt="" src="/attach/editor/202106211034292bJ0rUhMlu1k4jOt00q3.jpg" style="width: 383px; height: 250px;"></p> <p>강사 : 오은영(마음하나심리상담연구소 대표)</p> <p>서울에 오은영 박사님이 계신다면, 광주에도 친근한 오은영 강사님이 계십니다.</p> <p>우리 아이의 건강한 성장을 위해 오늘도 고군분투하는 엄마, 아빠의 일상에 힘을 보태드릴게요.</p>
ValueCountFrequency (%)
오은영 10
 
3.9%
10
 
3.9%
alt 9
 
3.5%
style="width 9
 
3.5%
height 9
 
3.5%
p><img 5
 
1.9%
p 5
 
1.9%
아이의 4
 
1.6%
힘을 4
 
1.6%
건강한 4
 
1.6%
Other values (105) 189
73.3%
2023-12-12T23:47:51.521404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
8.4%
p 185
 
7.0%
s 102
 
3.9%
; 97
 
3.7%
< 83
 
3.2%
> 83
 
3.2%
b 83
 
3.2%
n 82
 
3.1%
& 79
 
3.0%
t 70
 
2.7%
Other values (183) 1540
58.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 894
34.1%
Other Letter 593
22.6%
Other Punctuation 365
13.9%
Space Separator 221
 
8.4%
Decimal Number 209
 
8.0%
Math Symbol 193
 
7.4%
Uppercase Letter 75
 
2.9%
Control 58
 
2.2%
Dash Punctuation 9
 
0.3%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 22
 
3.7%
사 20
 
3.4%
오 19
 
3.2%
은 15
 
2.5%
이 14
 
2.4%
리 14
 
2.4%
상 14
 
2.4%
다 13
 
2.2%
에 12
 
2.0%
영 12
 
2.0%
Other values (111) 438
73.9%
Lowercase Letter
ValueCountFrequency (%)
p 185
20.7%
s 102
11.4%
b 83
9.3%
n 82
9.2%
t 70
 
7.8%
h 46
 
5.1%
i 41
 
4.6%
g 32
 
3.6%
e 31
 
3.5%
a 29
 
3.2%
Other values (15) 193
21.6%
Uppercase Letter
ValueCountFrequency (%)
Y 7
 
9.3%
R 6
 
8.0%
A 6
 
8.0%
H 5
 
6.7%
Q 5
 
6.7%
D 5
 
6.7%
Z 5
 
6.7%
S 4
 
5.3%
N 4
 
5.3%
W 4
 
5.3%
Other values (11) 24
32.0%
Decimal Number
ValueCountFrequency (%)
2 53
25.4%
0 38
18.2%
1 37
17.7%
4 22
10.5%
6 18
 
8.6%
3 15
 
7.2%
8 10
 
4.8%
5 7
 
3.3%
7 6
 
2.9%
9 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
; 97
26.6%
& 79
21.6%
/ 69
18.9%
" 54
14.8%
: 26
 
7.1%
. 18
 
4.9%
, 17
 
4.7%
* 5
 
1.4%
Math Symbol
ValueCountFrequency (%)
< 83
43.0%
> 83
43.0%
= 27
 
14.0%
Space Separator
ValueCountFrequency (%)
221
100.0%
Control
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1063
40.5%
Latin 969
36.9%
Hangul 593
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 22
 
3.7%
사 20
 
3.4%
오 19
 
3.2%
은 15
 
2.5%
이 14
 
2.4%
리 14
 
2.4%
상 14
 
2.4%
다 13
 
2.2%
에 12
 
2.0%
영 12
 
2.0%
Other values (111) 438
73.9%
Latin
ValueCountFrequency (%)
p 185
19.1%
s 102
 
10.5%
b 83
 
8.6%
n 82
 
8.5%
t 70
 
7.2%
h 46
 
4.7%
i 41
 
4.2%
g 32
 
3.3%
e 31
 
3.2%
a 29
 
3.0%
Other values (36) 268
27.7%
Common
ValueCountFrequency (%)
221
20.8%
; 97
9.1%
< 83
 
7.8%
> 83
 
7.8%
& 79
 
7.4%
/ 69
 
6.5%
58
 
5.5%
" 54
 
5.1%
2 53
 
5.0%
0 38
 
3.6%
Other values (16) 228
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2032
77.4%
Hangul 593
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
 
10.9%
p 185
 
9.1%
s 102
 
5.0%
; 97
 
4.8%
< 83
 
4.1%
> 83
 
4.1%
b 83
 
4.1%
n 82
 
4.0%
& 79
 
3.9%
t 70
 
3.4%
Other values (62) 947
46.6%
Hangul
ValueCountFrequency (%)
강 22
 
3.7%
사 20
 
3.4%
오 19
 
3.2%
은 15
 
2.5%
이 14
 
2.4%
리 14
 
2.4%
상 14
 
2.4%
다 13
 
2.2%
에 12
 
2.0%
영 12
 
2.0%
Other values (111) 438
73.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-08-25
206 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 206
100.0%

Length

2023-12-12T23:47:51.692180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:47:51.835382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 206
100.0%

Interactions

2023-12-12T23:47:43.838716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.232270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.532556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.924008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.316540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.628318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:44.039876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.421625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:47:43.735392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:47:51.930135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대상인원대기인원최대신청인원비용위치재료논평강사
순번1.0000.8890.3770.3790.5380.4430.8730.8921.0001.000
대상0.8891.0000.8240.9520.8980.6210.9830.9110.5261.000
인원0.3770.8241.0000.6670.1070.0000.8940.1340.9101.000
대기인원0.3790.9520.6671.0000.2900.0000.6980.0001.0001.000
최대신청인원0.5380.8980.1070.2901.0000.3630.7410.7390.2871.000
비용0.4430.6210.0000.0000.3631.0000.5850.9021.000NaN
위치0.8730.9830.8940.6980.7410.5851.0000.9650.6961.000
재료0.8920.9110.1340.0000.7390.9020.9651.0000.842NaN
논평1.0000.5260.9101.0000.2871.0000.6960.8421.000NaN
강사1.0001.0001.0001.0001.000NaN1.000NaNNaN1.000
2023-12-12T23:47:52.090812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최대신청인원논평위치비용
최대신청인원1.0000.1100.4420.209
논평0.1101.0000.2690.764
위치0.4420.2691.0000.186
비용0.2090.7640.1861.000
2023-12-12T23:47:52.225178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번인원대기인원최대신청인원비용위치논평
순번1.0000.1880.0200.3740.1950.4480.798
인원0.1881.0000.3170.1950.0000.5450.584
대기인원0.0200.3171.0000.0580.1090.3560.545
최대신청인원0.3740.1950.0581.0000.2090.4420.110
비용0.1950.0000.1090.2091.0000.1860.764
위치0.4480.5450.3560.4420.1861.0000.269
논평0.7980.5840.5450.1100.7640.2691.000

Missing values

2023-12-12T23:47:44.225489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:47:44.460416image/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.
2023-12-12T23:47:44.627226image/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

순번제목대상인원대기인원최대신청인원시작일종료일강좌날짜시간비용위치재료논평강사데이터기준일자
01테스트7세 ~ 11세10532018-12-012019-12-312018-12-05 2018-12-12 2018-12-19 2018-12-2614:00 ~ 16:00<NA>별관 1층 열리누리실<NA><NA><NA>2023-08-25
12테스트7세 ~ 11세10532018-12-012019-12-312018-12-05 2018-12-12 2018-12-19 2018-12-2614:00 ~ 16:00<NA>별관 1층 열리누리실<NA><NA><NA>2023-08-25
232019년 계림꿈나무도서관 여름방학 독서교실초등학생 2~5학년15532019-08-122019-08-14<NA>09:30~12:30무료계림꿈나무도서관 5층<NA><NA><NA>2023-08-25
342019년 작은도서관 겨울방학 특강 신청(지원2동작은도서관, 토요일)초등학생 1~5학년15512019-12-212020-01-182019-12-21,2020-1-1810:00~12:00무료지원2동작은도서관<NA><NA><NA>2023-08-25
452019년 작은도서관 겨울방학 특강 신청(학운동작은도서관, 토요일)초등학생 1~5학년15512019-12-212020-01-182019-12-21,2020-1-1814:00~16:00무료학운동작은도서관<NA><NA><NA>2023-08-25
56생각 톡톡!! 글쓰기 (2020 제1기 여름방학 어린이 독서문화프로그램)초등학생 3학년~4학년8232020-08-112020-08-14<NA>10:00~10:40무료비대면 화상수업(공통)필기도구<NA><NA>2023-08-25
67생각 플러스!! 글쓰기 (2020 제1기 여름방학 어린이 독서문화프로그램)초등학생 5학년~6학년8232020-08-112020-08-14<NA>11:00~11:40무료비대면 화상수업(공통)필기도구<NA><NA>2023-08-25
78위기를 극복하는 역사인물 리더십 (2020 제1기 여름방학 어린이 독서문화프로그램)초등학생 2학년~3학년8332020-08-102020-08-142020-08-10 2020-08-11 2020-08-12 2020-08-1415:00~15:40(8-13제외)무료비대면 화상수업필기도구, 재료꾸러미(별도 수령 안내)<NA><NA>2023-08-25
89만들며 체험하는 인물역사 (2020 제1기 여름방학 어린이 독서문화프로그램)초등학생 4학년~5학년8332020-08-102020-08-142020-08-10,2020-08-11,2020-08-12,2020-08-1416:00~16:40(8-13제외)무료비대면 화상수업필기도구, 재료꾸러미(별도 수령 안내)<NA><NA>2023-08-25
9101~2학년_나도 발표왕! 자신감 스피치 (2020 제1기 여름방학 어린이 독서문화프로그램)초등학생 1학년~2학년8332020-08-112020-08-14<NA>11:00~11:40무료비대면 화상수업(공통)필기도구<NA><NA>2023-08-25
순번제목대상인원대기인원최대신청인원시작일종료일강좌날짜시간비용위치재료논평강사데이터기준일자
196197[계림꿈나무도서관](유아4~7세)인문 동행의 날 '도서관에서 만나는 동화 인형극'유아0132023-06-292023-06-29<NA>10:30~12:00무료계림꿈나무도서관 4층노쇼금지!<NA><NA>2023-08-25
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198199[계림꿈나무도서관](성인)인문 동행의 날 '그림책 힐링 인문학 : 내 마음을 부탁해'성인12312023-07-272023-07-27<NA>10:00~11:30무료계림꿈나무도서관 5층노쇼금지!<NA><NA>2023-08-25
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