Overview

Dataset statistics

Number of variables14
Number of observations3432
Missing cells7
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory392.3 KiB
Average record size in memory117.0 B

Variable types

Numeric5
DateTime4
Categorical3
Text2

Dataset

Description올림픽수영장 강좌정보입니다. 강좌 시작일, 강좌명, 시작시간, 종료시간, 정원, 강좌금액,시작일,종료일 등 정보입니다.
URLhttps://www.data.go.kr/data/15101610/fileData.do

Alerts

강좌번호 is highly overall correlated with 강좌일련번호High correlation
강좌일련번호 is highly overall correlated with 강좌번호High correlation
정원 is highly overall correlated with 종목High correlation
수강료 is highly overall correlated with 종목High correlation
종목 is highly overall correlated with 정원 and 3 other fieldsHigh correlation
수강요일 is highly overall correlated with 종목 and 1 other fieldsHigh correlation
수강대상 is highly overall correlated with 종목 and 1 other fieldsHigh correlation
종목 is highly imbalanced (69.2%)Imbalance
수강요일 is highly imbalanced (54.4%)Imbalance
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:27:26.003858
Analysis finished2023-12-12 17:27:31.035068
Duration5.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct3432
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1716.5
Minimum1
Maximum3432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2023-12-13T02:27:31.129352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile172.55
Q1858.75
median1716.5
Q32574.25
95-th percentile3260.45
Maximum3432
Range3431
Interquartile range (IQR)1715.5

Descriptive statistics

Standard deviation990.87739
Coefficient of variation (CV)0.57726617
Kurtosis-1.2
Mean1716.5
Median Absolute Deviation (MAD)858
Skewness0
Sum5891028
Variance981838
MonotonicityNot monotonic
2023-12-13T02:27:31.299243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1650 1
 
< 0.1%
1196 1
 
< 0.1%
422 1
 
< 0.1%
211 1
 
< 0.1%
3080 1
 
< 0.1%
200 1
 
< 0.1%
285 1
 
< 0.1%
3257 1
 
< 0.1%
2900 1
 
< 0.1%
2934 1
 
< 0.1%
Other values (3422) 3422
99.7%
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 (%)
3432 1
< 0.1%
3431 1
< 0.1%
3430 1
< 0.1%
3429 1
< 0.1%
3428 1
< 0.1%
3427 1
< 0.1%
3426 1
< 0.1%
3425 1
< 0.1%
3424 1
< 0.1%
3423 1
< 0.1%

강좌번호
Real number (ℝ)

HIGH CORRELATION 

Distinct556
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean764152.02
Minimum13766
Maximum1016668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2023-12-13T02:27:31.511805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13766
5-th percentile15904
Q11001347
median1009381
Q31012888
95-th percentile1015310
Maximum1016668
Range1002902
Interquartile range (IQR)11541

Descriptive statistics

Standard deviation429779.27
Coefficient of variation (CV)0.5624264
Kurtosis-0.64085163
Mean764152.02
Median Absolute Deviation (MAD)3654
Skewness-1.1659
Sum2.6225697 × 109
Variance1.8471022 × 1011
MonotonicityNot monotonic
2023-12-13T02:27:31.723934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1008526 25
 
0.7%
1009221 23
 
0.7%
1008815 21
 
0.6%
1009887 21
 
0.6%
1008359 21
 
0.6%
1008525 21
 
0.6%
1009039 21
 
0.6%
1010114 20
 
0.6%
1010475 20
 
0.6%
1009561 20
 
0.6%
Other values (546) 3219
93.8%
ValueCountFrequency (%)
13766 7
0.2%
15705 5
0.1%
15706 5
0.1%
15707 6
0.2%
15710 6
0.2%
15711 4
0.1%
15714 7
0.2%
15767 9
0.3%
15783 7
0.2%
15794 6
0.2%
ValueCountFrequency (%)
1016668 1
 
< 0.1%
1016568 1
 
< 0.1%
1016555 1
 
< 0.1%
1016533 2
0.1%
1016532 2
0.1%
1016511 1
 
< 0.1%
1016510 1
 
< 0.1%
1016509 1
 
< 0.1%
1016380 1
 
< 0.1%
1016330 3
0.1%

강좌일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct163
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.670455
Minimum1
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2023-12-13T02:27:31.940553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q112
median24.5
Q345.25
95-th percentile84.45
Maximum244
Range243
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation29.421718
Coefficient of variation (CV)0.90056042
Kurtosis7.2818165
Mean32.670455
Median Absolute Deviation (MAD)14.5
Skewness2.1442306
Sum112125
Variance865.63751
MonotonicityNot monotonic
2023-12-13T02:27:32.125869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 95
 
2.8%
8 94
 
2.7%
5 88
 
2.6%
16 87
 
2.5%
14 86
 
2.5%
11 81
 
2.4%
4 81
 
2.4%
10 80
 
2.3%
9 80
 
2.3%
3 78
 
2.3%
Other values (153) 2582
75.2%
ValueCountFrequency (%)
1 40
1.2%
2 45
1.3%
3 78
2.3%
4 81
2.4%
5 88
2.6%
6 69
2.0%
7 76
2.2%
8 94
2.7%
9 80
2.3%
10 80
2.3%
ValueCountFrequency (%)
244 1
< 0.1%
238 1
< 0.1%
218 1
< 0.1%
209 1
< 0.1%
206 1
< 0.1%
202 1
< 0.1%
201 1
< 0.1%
200 1
< 0.1%
196 2
0.1%
195 1
< 0.1%

수강월
Date

Distinct70
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
Minimum1990-01-01 00:00:00
Maximum2023-07-01 00:00:00
2023-12-13T02:27:32.306338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:32.797524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
수영
2704 
TRX
 
80
바디체인지
 
79
필라테스
 
79
아쿠아로빅
 
78
Other values (34)
412 

Length

Max length11
Median length2
Mean length2.6503497
Min length2

Unique

Unique8 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
수영 2704
78.8%
TRX 80
 
2.3%
바디체인지 79
 
2.3%
필라테스 79
 
2.3%
아쿠아로빅 78
 
2.3%
점핑트램폴린 76
 
2.2%
스피닝바이크 57
 
1.7%
방학특강 50
 
1.5%
(온라인)점핑트램폴린 32
 
0.9%
메디핏 24
 
0.7%
Other values (29) 173
 
5.0%

Length

2023-12-13T02:27:32.914447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수영 2704
78.7%
trx 80
 
2.3%
바디체인지 79
 
2.3%
필라테스 79
 
2.3%
아쿠아로빅 78
 
2.3%
점핑트램폴린 76
 
2.2%
스피닝바이크 57
 
1.7%
방학특강 50
 
1.5%
온라인)점핑트램폴린 32
 
0.9%
메디핏 24
 
0.7%
Other values (31) 175
 
5.1%

강좌명
Text

Distinct1459
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
2023-12-13T02:27:33.152301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length15.257284
Min length3

Characters and Unicode

Total characters52363
Distinct characters254
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique647 ?
Unique (%)18.9%

Sample

1st row11 가요교실(화목)
2nd row11 가요교실(화목)
3rd row11 가요교실(화목)
4th row11 가요교실(화목)
5th row11 가요교실(화목)
ValueCountFrequency (%)
여성전용 377
 
4.8%
17시 327
 
4.1%
16시 295
 
3.7%
21시 252
 
3.2%
11시 234
 
3.0%
20시 194
 
2.4%
19시 184
 
2.3%
10시 180
 
2.3%
09시 154
 
1.9%
여성전용)/*주말미운영 140
 
1.8%
Other values (608) 5585
70.5%
2023-12-13T02:27:33.589774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4602
 
8.8%
1 3726
 
7.1%
) 2640
 
5.0%
( 2635
 
5.0%
시 2546
 
4.9%
급 1741
 
3.3%
수 1282
 
2.4%
0 1142
 
2.2%
2 1126
 
2.2%
영 1108
 
2.1%
Other values (244) 29815
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28299
54.0%
Decimal Number 8673
 
16.6%
Space Separator 4602
 
8.8%
Close Punctuation 2640
 
5.0%
Open Punctuation 2635
 
5.0%
Other Punctuation 2392
 
4.6%
Uppercase Letter 1757
 
3.4%
Dash Punctuation 935
 
1.8%
Math Symbol 359
 
0.7%
Other Symbol 67
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2546
 
9.0%
급 1741
 
6.2%
수 1282
 
4.5%
영 1108
 
3.9%
성 946
 
3.3%
운 864
 
3.1%
초 861
 
3.0%
미 859
 
3.0%
주 852
 
3.0%
말 835
 
3.0%
Other values (194) 16405
58.0%
Uppercase Letter
ValueCountFrequency (%)
F 456
26.0%
I 322
18.3%
N 322
18.3%
A 192
10.9%
B 127
 
7.2%
C 91
 
5.2%
T 80
 
4.6%
X 80
 
4.6%
R 80
 
4.6%
P 2
 
0.1%
Other values (5) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 3726
43.0%
0 1142
 
13.2%
2 1126
 
13.0%
7 561
 
6.5%
6 500
 
5.8%
3 494
 
5.7%
9 469
 
5.4%
4 233
 
2.7%
8 228
 
2.6%
5 194
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 997
41.7%
* 908
38.0%
. 286
 
12.0%
: 98
 
4.1%
, 69
 
2.9%
& 17
 
0.7%
＊ 15
 
0.6%
＆ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 322
89.7%
~ 27
 
7.5%
+ 6
 
1.7%
→ 3
 
0.8%
> 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
☆ 22
32.8%
■ 14
20.9%
◆ 13
19.4%
▶ 10
14.9%
★ 8
 
11.9%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
s 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
4602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2640
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 935
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28299
54.0%
Common 22303
42.6%
Latin 1761
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2546
 
9.0%
급 1741
 
6.2%
수 1282
 
4.5%
영 1108
 
3.9%
성 946
 
3.3%
운 864
 
3.1%
초 861
 
3.0%
미 859
 
3.0%
주 852
 
3.0%
말 835
 
3.0%
Other values (194) 16405
58.0%
Common
ValueCountFrequency (%)
4602
20.6%
1 3726
16.7%
) 2640
11.8%
( 2635
11.8%
0 1142
 
5.1%
2 1126
 
5.0%
/ 997
 
4.5%
- 935
 
4.2%
* 908
 
4.1%
7 561
 
2.5%
Other values (22) 3031
13.6%
Latin
ValueCountFrequency (%)
F 456
25.9%
I 322
18.3%
N 322
18.3%
A 192
10.9%
B 127
 
7.2%
C 91
 
5.2%
T 80
 
4.5%
X 80
 
4.5%
R 80
 
4.5%
t 2
 
0.1%
Other values (8) 9
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28299
54.0%
ASCII 23977
45.8%
Geometric Shapes 37
 
0.1%
Misc Symbols 30
 
0.1%
None 17
 
< 0.1%
Arrows 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4602
19.2%
1 3726
15.5%
) 2640
11.0%
( 2635
11.0%
0 1142
 
4.8%
2 1126
 
4.7%
/ 997
 
4.2%
- 935
 
3.9%
* 908
 
3.8%
7 561
 
2.3%
Other values (32) 4705
19.6%
Hangul
ValueCountFrequency (%)
시 2546
 
9.0%
급 1741
 
6.2%
수 1282
 
4.5%
영 1108
 
3.9%
성 946
 
3.3%
운 864
 
3.1%
초 861
 
3.0%
미 859
 
3.0%
주 852
 
3.0%
말 835
 
3.0%
Other values (194) 16405
58.0%
Misc Symbols
ValueCountFrequency (%)
☆ 22
73.3%
★ 8
 
26.7%
None
ValueCountFrequency (%)
＊ 15
88.2%
＆ 2
 
11.8%
Geometric Shapes
ValueCountFrequency (%)
■ 14
37.8%
◆ 13
35.1%
▶ 10
27.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%

시작시간
Date

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 21:00:00
2023-12-13T02:27:33.729060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:33.856009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

종료시간
Date

Distinct44
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
Minimum2023-12-13 01:00:00
Maximum2023-12-13 22:00:00
2023-12-13T02:27:33.968698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:34.077997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)1.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.110172
Minimum1
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2023-12-13T02:27:34.206138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q130
median40
Q340
95-th percentile70
Maximum800
Range799
Interquartile range (IQR)10

Descriptive statistics

Standard deviation33.997257
Coefficient of variation (CV)0.86926893
Kurtosis321.27588
Mean39.110172
Median Absolute Deviation (MAD)0
Skewness14.9708
Sum134187
Variance1155.8135
MonotonicityNot monotonic
2023-12-13T02:27:34.340775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1969
57.4%
15 311
 
9.1%
70 185
 
5.4%
30 150
 
4.4%
25 80
 
2.3%
50 75
 
2.2%
2 62
 
1.8%
10 61
 
1.8%
8 54
 
1.6%
110 54
 
1.6%
Other values (49) 430
 
12.5%
ValueCountFrequency (%)
1 32
0.9%
2 62
1.8%
5 26
0.8%
6 1
 
< 0.1%
7 2
 
0.1%
8 54
1.6%
10 61
1.8%
11 2
 
0.1%
12 35
1.0%
13 1
 
< 0.1%
ValueCountFrequency (%)
800 4
 
0.1%
650 1
 
< 0.1%
150 2
 
0.1%
130 6
 
0.2%
129 1
 
< 0.1%
110 54
1.6%
108 1
 
< 0.1%
105 1
 
< 0.1%
100 25
0.7%
99 3
 
0.1%

수강요일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
월,화,수,목,금,(토)
2096 
화,목,(토)
386 
월,수,금,(토)
290 
화,목
252 
월,수,금
223 
Other values (17)
 
185

Length

Max length13
Median length13
Mean length10.401807
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화,목
2nd row화,목
3rd row화,목
4th row화,목
5th row화,목

Common Values

ValueCountFrequency (%)
월,화,수,목,금,(토) 2096
61.1%
화,목,(토) 386
 
11.2%
월,수,금,(토) 290
 
8.4%
화,목 252
 
7.3%
월,수,금 223
 
6.5%
월,화,수,목,금 47
 
1.4%
월,화,수,목,금(방) 39
 
1.1%
월,수 16
 
0.5%
토 15
 
0.4%
목 10
 
0.3%
Other values (12) 58
 
1.7%

Length

2023-12-13T02:27:34.451177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월,화,수,목,금,(토 2096
61.1%
화,목,(토 386
 
11.2%
월,수,금,(토 290
 
8.4%
화,목 252
 
7.3%
월,수,금 223
 
6.5%
월,화,수,목,금 47
 
1.4%
월,화,수,목,금(방 39
 
1.1%
월,수 16
 
0.5%
토 15
 
0.4%
목 10
 
0.3%
Other values (12) 58
 
1.7%

수강대상
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
성인남여
1466 
주부
578 
어린이
573 
성인남여및청소년
545 
성인여성
186 
Other values (3)
 
84

Length

Max length8
Median length6
Mean length4.1095571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성인남여 1466
42.7%
주부 578
 
16.8%
어린이 573
 
16.7%
성인남여및청소년 545
 
15.9%
성인여성 186
 
5.4%
청소년 73
 
2.1%
전체 6
 
0.2%
청소년(여) 5
 
0.1%

Length

2023-12-13T02:27:34.553976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:27:34.678112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인남여 1466
42.7%
주부 578
 
16.8%
어린이 573
 
16.7%
성인남여및청소년 545
 
15.9%
성인여성 186
 
5.4%
청소년 73
 
2.1%
전체 6
 
0.2%
청소년(여 5
 
0.1%

수강료
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)1.0%
Missing6
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean88116.544
Minimum22500
Maximum550000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2023-12-13T02:27:34.796793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22500
5-th percentile40000
Q164000
median90000
Q390000
95-th percentile150000
Maximum550000
Range527500
Interquartile range (IQR)26000

Descriptive statistics

Standard deviation68475.461
Coefficient of variation (CV)0.77710108
Kurtosis29.298111
Mean88116.544
Median Absolute Deviation (MAD)10000
Skewness5.1542049
Sum3.0188728 × 108
Variance4.6888888 × 109
MonotonicityNot monotonic
2023-12-13T02:27:34.901321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
90000 1276
37.2%
95000 383
 
11.2%
40000 308
 
9.0%
70000 270
 
7.9%
64000 191
 
5.6%
50000 191
 
5.6%
55000 98
 
2.9%
45000 92
 
2.7%
35000 71
 
2.1%
150000 65
 
1.9%
Other values (25) 481
 
14.0%
ValueCountFrequency (%)
22500 1
 
< 0.1%
26250 1
 
< 0.1%
30000 20
 
0.6%
35000 71
 
2.1%
40000 308
9.0%
40720 1
 
< 0.1%
45000 92
 
2.7%
50000 191
5.6%
55000 98
 
2.9%
58000 9
 
0.3%
ValueCountFrequency (%)
550000 31
0.9%
500000 16
 
0.5%
450000 32
0.9%
200000 12
 
0.3%
180000 7
 
0.2%
160000 37
1.1%
150000 65
1.9%
130000 10
 
0.3%
120000 12
 
0.3%
110000 6
 
0.2%

기간시작일
Date

Distinct78
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
Minimum1990-01-01 00:00:00
Maximum2023-07-01 00:00:00
2023-12-13T02:27:35.013376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:35.139340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기간종료일
Text

Distinct64
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size26.9 KiB
2023-12-13T02:27:35.338042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters34320
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row9999-12-31
2nd row2022-12-31
3rd row2022-04-30
4th row2022-04-29
5th row2021-11-30
ValueCountFrequency (%)
2022-12-31 295
 
8.6%
9999-12-31 293
 
8.5%
2022-02-28 165
 
4.8%
2022-08-31 158
 
4.6%
2022-03-31 150
 
4.4%
2023-02-28 150
 
4.4%
2020-12-31 128
 
3.7%
2021-11-30 108
 
3.1%
2023-05-31 97
 
2.8%
2021-03-31 89
 
2.6%
Other values (54) 1799
52.4%
2023-12-13T02:27:35.632252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8864
25.8%
- 6864
20.0%
0 6456
18.8%
1 4947
14.4%
3 3791
11.0%
9 1831
 
5.3%
8 766
 
2.2%
5 249
 
0.7%
4 195
 
0.6%
6 193
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27456
80.0%
Dash Punctuation 6864
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8864
32.3%
0 6456
23.5%
1 4947
18.0%
3 3791
13.8%
9 1831
 
6.7%
8 766
 
2.8%
5 249
 
0.9%
4 195
 
0.7%
6 193
 
0.7%
7 164
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 6864
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8864
25.8%
- 6864
20.0%
0 6456
18.8%
1 4947
14.4%
3 3791
11.0%
9 1831
 
5.3%
8 766
 
2.2%
5 249
 
0.7%
4 195
 
0.6%
6 193
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8864
25.8%
- 6864
20.0%
0 6456
18.8%
1 4947
14.4%
3 3791
11.0%
9 1831
 
5.3%
8 766
 
2.2%
5 249
 
0.7%
4 195
 
0.6%
6 193
 
0.6%

Interactions

2023-12-13T02:27:29.757300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:27.527246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.091885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.657563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.170695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.897264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:27.636406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.210597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.762606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.291757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:30.035505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:27.735230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.329198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.891296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.415330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:30.170075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:27.838333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.433706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.972718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.524160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:30.340369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:27.965470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:28.561691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.070496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:27:29.631184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:27:35.718550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호강좌번호강좌일련번호수강월종목시작시간종료시간정원수강요일수강대상수강료기간시작일기간종료일
일련번호1.0000.2840.4630.9430.4710.3000.5410.1360.3340.2960.2020.9350.933
강좌번호0.2841.0000.9280.5000.4500.3180.5290.3440.3090.3650.1550.5010.470
강좌일련번호0.4630.9281.0000.5740.3710.4400.6110.2370.2920.3280.1490.5540.527
수강월0.9430.5000.5741.0000.9130.7310.6530.0890.7350.7890.4761.0000.995
종목0.4710.4500.3710.9131.0000.9080.8770.8010.9550.8690.8530.9380.900
시작시간0.3000.3180.4400.7310.9081.0000.9940.4200.8320.8600.6380.8450.745
종료시간0.5410.5290.6110.6530.8770.9941.0000.3690.8930.9080.6870.8050.826
정원0.1360.3440.2370.0890.8010.4200.3691.0000.7150.1890.0650.0190.000
수강요일0.3340.3090.2920.7350.9550.8320.8930.7151.0000.8240.7600.7550.628
수강대상0.2960.3650.3280.7890.8690.8600.9080.1890.8241.0000.5500.8290.755
수강료0.2020.1550.1490.4760.8530.6380.6870.0650.7600.5501.0000.4890.399
기간시작일0.9350.5010.5541.0000.9380.8450.8050.0190.7550.8290.4891.0000.996
기간종료일0.9330.4700.5270.9950.9000.7450.8260.0000.6280.7550.3990.9961.000
2023-12-13T02:27:35.824560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강대상종목수강요일
수강대상1.0000.5590.518
종목0.5591.0000.607
수강요일0.5180.6071.000
2023-12-13T02:27:35.897814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호강좌번호강좌일련번호정원수강료종목수강요일수강대상
일련번호1.000-0.082-0.054-0.092-0.0620.1810.1300.146
강좌번호-0.0821.000-0.688-0.2000.0570.3760.2460.273
강좌일련번호-0.054-0.6881.0000.226-0.0350.1360.1120.163
정원-0.092-0.2000.2261.000-0.1090.5460.4690.086
수강료-0.0620.057-0.035-0.1091.0000.5690.4750.345
종목0.1810.3760.1360.5460.5691.0000.6070.559
수강요일0.1300.2460.1120.4690.4750.6071.0000.518
수강대상0.1460.2730.1630.0860.3450.5590.5181.000

Missing values

2023-12-13T02:27:30.556562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:27:30.840747image/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.
2023-12-13T02:27:30.972911image/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

일련번호강좌번호강좌일련번호수강월종목강좌명시작시간종료시간정원수강요일수강대상수강료기간시작일기간종료일
0165015714642023-01가요교실11 가요교실(화목)11:2012:5070화,목주부400002023-01-019999-12-31
1195415714622022-05가요교실11 가요교실(화목)11:2012:5070화,목주부400002022-05-012022-12-31
261615714592022-04가요교실11 가요교실(화목)11:2012:5070화,목주부300002022-04-302022-04-30
363315714572021-12가요교실11 가요교실(화목)11:2012:5070화,목주부300002021-12-012022-04-29
4302915714542021-03가요교실11 가요교실(화목)11:2012:5030화,목주부300002021-03-012021-11-30
5299415714512021-01가요교실11 가요교실(화목)11:2012:5070화,목주부300002021-01-012021-02-28
6274615714462020-01가요교실11 가요교실(화목)11:2012:5070화,목주부300002020-01-012020-12-31
727101015787102023-06댄스스포츠댄스스포츠(중급)16:0017:3040수,금성인남여700002023-06-019999-12-31
82042101578792023-03댄스스포츠댄스스포츠(중급)16:0017:3030수,금성인남여700002023-03-012023-05-31
92689101578692023-06댄스스포츠댄스스포츠(초급)14:3016:0040수,금성인남여700002023-06-019999-12-31
일련번호강좌번호강좌일련번호수강월종목강좌명시작시간종료시간정원수강요일수강대상수강료기간시작일기간종료일
34228441013430172023-06메디핏08시 메디핏(월수금)08:0008:508월,수,금성인남여및청소년1200002023-06-019999-12-31
342322651013430152023-01메디핏08시 메디핏(월수금)08:0008:508월,수,금성인남여및청소년1200002023-01-012023-05-31
3424931101343082022-04메디핏08시 메디핏 (메디컬 트레이닝)08:0008:508월,수,금성인남여1200002022-04-012022-12-31
34251329101655562023-06수구07시 수구-그룹강습(평형이상가능자)07:0007:5050수,(토)성인남여및청소년300002023-06-019999-12-31
342623411013886252023-01수구21시 수구-그룹강습(평형이상가능자)21:0021:5050월,수,(토)성인남여및청소년600002023-01-019999-12-31
34279731013886182022-06수구21시 수구-그룹강습(평형이상가능자)21:0021:5049월,수,(토)성인남여및청소년600002022-06-012022-12-31
342821171013887192023-04모델워킹매력모델워킹12:0013:2020목성인남여400002023-04-019999-12-31
342921731013887162023-01모델워킹모델워킹＆자세교정12:0013:2020목성인남여400002023-01-012023-03-31
343019391013887122022-06모델워킹모델워킹＆자세교정12:0013:2020목성인남여400002022-06-012022-12-31
34312367101656832023-06시니어 댄스 핏■일시정지 시니어 댄스 핏(소그룹반)14:0014:5012화,목성인남여1000002023-06-019999-12-31