Overview

Dataset statistics

Number of variables12
Number of observations1009
Missing cells0
Missing cells (%)0.0%
Duplicate rows48
Duplicate rows (%)4.8%
Total size in memory97.7 KiB
Average record size in memory99.1 B

Variable types

Categorical7
Text2
Numeric3

Dataset

Description경기도 화성시 봉담체육센터부, 그린환경센터부, 우정체육센터부, 동탄체육센터부, 반월체육센터부의 성별 이용현황입니다. 프로그램명, 강습요일, 시간, 장소, 정원, 대상, 구분, 남, 여 합계 등을 확인할 수 있습니다.
Author화성도시공사
URLhttps://www.data.go.kr/data/15126976/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 48 (4.8%) duplicate rowsDuplicates
남 is highly overall correlated with 합계 and 4 other fieldsHigh correlation
여 is highly overall correlated with 합계 and 1 other fieldsHigh correlation
합계 is highly overall correlated with 남 and 3 other fieldsHigh correlation
센터명 is highly overall correlated with 강습요일 and 2 other fieldsHigh correlation
강습요일 is highly overall correlated with 남 and 3 other fieldsHigh correlation
장소 is highly overall correlated with 남 and 2 other fieldsHigh correlation
정원 is highly overall correlated with 남 and 6 other fieldsHigh correlation
대상 is highly overall correlated with 센터명 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 남 and 4 other fieldsHigh correlation
강습요일 is highly imbalanced (52.7%)Imbalance
장소 is highly imbalanced (64.5%)Imbalance
정원 is highly imbalanced (67.5%)Imbalance
남 has 124 (12.3%) zerosZeros

Reproduction

Analysis started2024-03-14 15:29:50.691244
Analysis finished2024-03-14 15:29:54.571844
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

센터명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
반월체육센터부
460 
화성남부체육센터
322 
화성국민체육센터
95 
동탄중앙어울림센터
82 
화성그린환경센터
50 

Length

Max length9
Median length8
Mean length7.6253717
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
반월체육센터부 460
45.6%
화성남부체육센터 322
31.9%
화성국민체육센터 95
 
9.4%
동탄중앙어울림센터 82
 
8.1%
화성그린환경센터 50
 
5.0%

Length

2024-03-15T00:29:54.739054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:29:55.093410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반월체육센터부 460
45.6%
화성남부체육센터 322
31.9%
화성국민체육센터 95
 
9.4%
동탄중앙어울림센터 82
 
8.1%
화성그린환경센터 50
 
5.0%

프로그램명
Text

Distinct665
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T00:29:56.053397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length13.6333
Min length2

Characters and Unicode

Total characters13756
Distinct characters135
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)61.5%

Sample

1st row06시 성인 [월수금]_상급
2nd row06시 성인 [월수금]_마스터
3rd row07시 성인 (월수금)_상급
4th row07시 성인 (월수금)_마스터
5th row09시 성인 (월수금)_상급
ValueCountFrequency (%)
성인수영(저녁 70
 
4.7%
성인수영(새벽 62
 
4.2%
아쿠아로빅 33
 
2.2%
06시_수영_화 33
 
2.2%
성인수영(오전 30
 
2.0%
필라테스 27
 
1.8%
10시_수영_화 27
 
1.8%
07시_수영_화 26
 
1.8%
성인 26
 
1.8%
20시_수영_화 24
 
1.6%
Other values (509) 1126
75.9%
2024-03-15T00:29:57.491142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 1436
 
10.4%
수 929
 
6.8%
1 785
 
5.7%
701
 
5.1%
월 603
 
4.4%
영 600
 
4.4%
시 583
 
4.2%
급 513
 
3.7%
0 442
 
3.2%
( 309
 
2.2%
Other values (125) 6855
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7907
57.5%
Decimal Number 2409
 
17.5%
Connector Punctuation 1436
 
10.4%
Space Separator 701
 
5.1%
Open Punctuation 474
 
3.4%
Close Punctuation 474
 
3.4%
Uppercase Letter 136
 
1.0%
Dash Punctuation 134
 
1.0%
Math Symbol 40
 
0.3%
Other Symbol 38
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 929
 
11.7%
월 603
 
7.6%
영 600
 
7.6%
시 583
 
7.4%
급 513
 
6.5%
개 306
 
3.9%
화 281
 
3.6%
금 279
 
3.5%
목 271
 
3.4%
상 271
 
3.4%
Other values (99) 3271
41.4%
Decimal Number
ValueCountFrequency (%)
1 785
32.6%
0 442
18.3%
2 194
 
8.1%
7 193
 
8.0%
9 189
 
7.8%
6 188
 
7.8%
3 132
 
5.5%
5 110
 
4.6%
4 103
 
4.3%
8 73
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 60
44.1%
B 52
38.2%
P 11
 
8.1%
T 11
 
8.1%
C 2
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 309
65.2%
[ 165
34.8%
Close Punctuation
ValueCountFrequency (%)
) 309
65.2%
] 165
34.8%
Math Symbol
ValueCountFrequency (%)
▷ 33
82.5%
~ 7
 
17.5%
Connector Punctuation
ValueCountFrequency (%)
_ 1436
100.0%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7907
57.5%
Common 5713
41.5%
Latin 136
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 929
 
11.7%
월 603
 
7.6%
영 600
 
7.6%
시 583
 
7.4%
급 513
 
6.5%
개 306
 
3.9%
화 281
 
3.6%
금 279
 
3.5%
목 271
 
3.4%
상 271
 
3.4%
Other values (99) 3271
41.4%
Common
ValueCountFrequency (%)
_ 1436
25.1%
1 785
13.7%
701
12.3%
0 442
 
7.7%
( 309
 
5.4%
) 309
 
5.4%
2 194
 
3.4%
7 193
 
3.4%
9 189
 
3.3%
6 188
 
3.3%
Other values (11) 967
16.9%
Latin
ValueCountFrequency (%)
A 60
44.1%
B 52
38.2%
P 11
 
8.1%
T 11
 
8.1%
C 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7907
57.5%
ASCII 5778
42.0%
Geometric Shapes 71
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 1436
24.9%
1 785
13.6%
701
12.1%
0 442
 
7.6%
( 309
 
5.3%
) 309
 
5.3%
2 194
 
3.4%
7 193
 
3.3%
9 189
 
3.3%
6 188
 
3.3%
Other values (14) 1032
17.9%
Hangul
ValueCountFrequency (%)
수 929
 
11.7%
월 603
 
7.6%
영 600
 
7.6%
시 583
 
7.4%
급 513
 
6.5%
개 306
 
3.9%
화 281
 
3.6%
금 279
 
3.5%
목 271
 
3.4%
상 271
 
3.4%
Other values (99) 3271
41.4%
Geometric Shapes
ValueCountFrequency (%)
▶ 38
53.5%
▷ 33
46.5%

강습요일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
월수금
436 
화목
396 
월,수,금
45 
화,목
 
40
월
 
14
Other values (16)
78 

Length

Max length9
Median length7
Mean length2.728444
Min length1

Unique

Unique5 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
월수금 436
43.2%
화목 396
39.2%
월,수,금 45
 
4.5%
화,목 40
 
4.0%
월 14
 
1.4%
화 14
 
1.4%
월화수목금토 13
 
1.3%
월화수목금 11
 
1.1%
월,화,수,목,금 7
 
0.7%
월~금 7
 
0.7%
Other values (11) 26
 
2.6%

Length

2024-03-15T00:29:57.938770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월수금 436
43.2%
화목 396
39.2%
월,수,금 45
 
4.5%
화,목 40
 
4.0%
월 14
 
1.4%
화 14
 
1.4%
월화수목금토 13
 
1.3%
월화수목금 11
 
1.1%
월~금 7
 
0.7%
목 7
 
0.7%
Other values (11) 26
 
2.6%

시간
Text

Distinct52
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T00:29:58.762360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.960357
Min length1

Characters and Unicode

Total characters11059
Distinct characters13
Distinct categories4 ?
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 (%)0.7%

Sample

1st row06:00~06:50
2nd row06:00~06:50
3rd row07:00~07:50
4th row07:00~07:50
5th row09:00~09:50
ValueCountFrequency (%)
10:00~10:50 113
11.2%
19:00~19:50 108
10.7%
07:00~07:50 106
10.5%
20:00~20:50 105
10.4%
06:00~06:50 100
9.9%
09:00~09:50 65
 
6.4%
16:00~16:50 61
 
6.0%
17:00~17:50 60
 
5.9%
11:00~11:50 46
 
4.6%
12:00~12:50 20
 
2.0%
Other values (42) 225
22.3%
2024-03-15T00:29:59.952669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4291
38.8%
: 2010
18.2%
1 1197
 
10.8%
5 935
 
8.5%
~ 910
 
8.2%
9 402
 
3.6%
7 394
 
3.6%
6 386
 
3.5%
2 328
 
3.0%
- 99
 
0.9%
Other values (3) 107
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8040
72.7%
Other Punctuation 2010
 
18.2%
Math Symbol 910
 
8.2%
Dash Punctuation 99
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4291
53.4%
1 1197
 
14.9%
5 935
 
11.6%
9 402
 
5.0%
7 394
 
4.9%
6 386
 
4.8%
2 328
 
4.1%
8 77
 
1.0%
4 17
 
0.2%
3 13
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 2010
100.0%
Math Symbol
ValueCountFrequency (%)
~ 910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4291
38.8%
: 2010
18.2%
1 1197
 
10.8%
5 935
 
8.5%
~ 910
 
8.2%
9 402
 
3.6%
7 394
 
3.6%
6 386
 
3.5%
2 328
 
3.0%
- 99
 
0.9%
Other values (3) 107
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4291
38.8%
: 2010
18.2%
1 1197
 
10.8%
5 935
 
8.5%
~ 910
 
8.2%
9 402
 
3.6%
7 394
 
3.6%
6 386
 
3.5%
2 328
 
3.0%
- 99
 
0.9%
Other values (3) 107
 
1.0%

장소
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
수영장
807 
다목적실
92 
체력단련실
 
22
온돌강의실
 
18
다목적체육관
 
17
Other values (6)
 
53

Length

Max length6
Median length3
Mean length3.2358771
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
수영장 807
80.0%
다목적실 92
 
9.1%
체력단련실 22
 
2.2%
온돌강의실 18
 
1.8%
다목적체육관 17
 
1.7%
GX룸 16
 
1.6%
댄스실 16
 
1.6%
G.X룸 15
 
1.5%
헬스장 4
 
0.4%
샤워실 1
 
0.1%

Length

2024-03-15T00:30:00.224472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수영장 807
80.0%
다목적실 92
 
9.1%
체력단련실 22
 
2.2%
온돌강의실 18
 
1.8%
다목적체육관 17
 
1.7%
gx룸 16
 
1.6%
댄스실 16
 
1.6%
g.x룸 15
 
1.5%
헬스장 4
 
0.4%
샤워실 1
 
0.1%

정원
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
25
760 
30
138 
50
 
34
10
 
15
20
 
14
Other values (15)
 
48

Length

Max length4
Median length2
Mean length2.0009911
Min length1

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row25
2nd row25
3rd row25
4th row25
5th row25

Common Values

ValueCountFrequency (%)
25 760
75.3%
30 138
 
13.7%
50 34
 
3.4%
10 15
 
1.5%
20 14
 
1.4%
80 12
 
1.2%
60 12
 
1.2%
- 5
 
0.5%
55 4
 
0.4%
15 3
 
0.3%
Other values (10) 12
 
1.2%

Length

2024-03-15T00:30:00.500390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
25 760
75.3%
30 138
 
13.7%
50 34
 
3.4%
10 15
 
1.5%
20 14
 
1.4%
80 12
 
1.2%
60 12
 
1.2%
5
 
0.5%
55 4
 
0.4%
15 3
 
0.3%
Other values (10) 12
 
1.2%

대상
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
성인/청소년
666 
성인
100 
초등학생
81 
제한없음
78 
어린이
69 
Other values (3)
 
15

Length

Max length10
Median length6
Mean length5.1278494
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row성인/청소년
2nd row성인/청소년
3rd row성인/청소년
4th row성인/청소년
5th row성인/청소년

Common Values

ValueCountFrequency (%)
성인/청소년 666
66.0%
성인 100
 
9.9%
초등학생 81
 
8.0%
제한없음 78
 
7.7%
어린이 69
 
6.8%
성인/청소년/어린이 12
 
1.2%
청소년 2
 
0.2%
성인/청소년/유아 1
 
0.1%

Length

2024-03-15T00:30:00.931956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:30:01.300249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인/청소년 666
66.0%
성인 100
 
9.9%
초등학생 81
 
8.0%
제한없음 78
 
7.7%
어린이 69
 
6.8%
성인/청소년/어린이 12
 
1.2%
청소년 2
 
0.2%
성인/청소년/유아 1
 
0.1%

구분
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
진도수료제
405 
구분없음
229 
중급반
82 
상급반
77 
상급
 
30
Other values (29)
186 

Length

Max length13
Median length11
Mean length4.1129832
Min length2

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row상급
2nd row마스터
3rd row상급
4th row마스터
5th row상급

Common Values

ValueCountFrequency (%)
진도수료제 405
40.1%
구분없음 229
22.7%
중급반 82
 
8.1%
상급반 77
 
7.6%
상급 30
 
3.0%
중급 27
 
2.7%
마스터 23
 
2.3%
기초반 19
 
1.9%
초급반 16
 
1.6%
초급 16
 
1.6%
Other values (24) 85
 
8.4%

Length

2024-03-15T00:30:01.695002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진도수료제 405
39.6%
구분없음 229
22.4%
중급반 82
 
8.0%
상급반 77
 
7.5%
상급 30
 
2.9%
중급 27
 
2.6%
마스터 23
 
2.2%
기초반 19
 
1.9%
초급반 16
 
1.6%
초급 16
 
1.6%
Other values (30) 99
 
9.7%

남
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct229
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.33102
Minimum0
Maximum40508
Zeros124
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T00:30:02.089427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median25
Q398
95-th percentile253
Maximum40508
Range40508
Interquartile range (IQR)93

Descriptive statistics

Standard deviation1750.3159
Coefficient of variation (CV)8.9607676
Kurtosis365.98376
Mean195.33102
Median Absolute Deviation (MAD)25
Skewness18.160206
Sum197089
Variance3063605.7
MonotonicityNot monotonic
2024-03-15T00:30:02.543366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 124
 
12.3%
2 41
 
4.1%
4 40
 
4.0%
10 32
 
3.2%
6 32
 
3.2%
5 30
 
3.0%
3 25
 
2.5%
7 24
 
2.4%
9 23
 
2.3%
12 18
 
1.8%
Other values (219) 620
61.4%
ValueCountFrequency (%)
0 124
12.3%
1 12
 
1.2%
2 41
 
4.1%
3 25
 
2.5%
4 40
 
4.0%
5 30
 
3.0%
6 32
 
3.2%
7 24
 
2.4%
8 17
 
1.7%
9 23
 
2.3%
ValueCountFrequency (%)
40508 1
0.1%
29115 1
0.1%
18186 1
0.1%
12030 1
0.1%
8312 1
0.1%
5445 1
0.1%
3653 1
0.1%
3072 1
0.1%
2528 1
0.1%
2292 1
0.1%

여
Real number (ℝ)

HIGH CORRELATION 

Distinct362
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.12389
Minimum0
Maximum28669
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T00:30:03.004176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median85
Q3187
95-th percentile759.6
Maximum28669
Range28669
Interquartile range (IQR)170

Descriptive statistics

Standard deviation1581.6723
Coefficient of variation (CV)4.8949408
Kurtosis190.56932
Mean323.12389
Median Absolute Deviation (MAD)73
Skewness12.673118
Sum326032
Variance2501687.3
MonotonicityNot monotonic
2024-03-15T00:30:03.249440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 27
 
2.7%
7 22
 
2.2%
11 21
 
2.1%
6 21
 
2.1%
9 19
 
1.9%
5 18
 
1.8%
10 18
 
1.8%
15 15
 
1.5%
14 14
 
1.4%
22 14
 
1.4%
Other values (352) 820
81.3%
ValueCountFrequency (%)
0 5
 
0.5%
1 4
 
0.4%
2 10
 
1.0%
3 5
 
0.5%
4 12
1.2%
5 18
1.8%
6 21
2.1%
7 22
2.2%
8 27
2.7%
9 19
1.9%
ValueCountFrequency (%)
28669 1
0.1%
24646 1
0.1%
20977 1
0.1%
10905 1
0.1%
10212 1
0.1%
8145 1
0.1%
7569 1
0.1%
6925 1
0.1%
6738 1
0.1%
6265 1
0.1%

합계
Real number (ℝ)

HIGH CORRELATION 

Distinct406
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518.4559
Minimum2
Maximum65154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T00:30:03.496137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q124
median174
Q3270
95-th percentile1153.4
Maximum65154
Range65152
Interquartile range (IQR)246

Descriptive statistics

Standard deviation3202.9148
Coefficient of variation (CV)6.177796
Kurtosis282.10382
Mean518.4559
Median Absolute Deviation (MAD)145
Skewness15.830065
Sum523122
Variance10258663
MonotonicityNot monotonic
2024-03-15T00:30:03.742455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 28
 
2.8%
15 26
 
2.6%
16 24
 
2.4%
14 22
 
2.2%
21 19
 
1.9%
24 17
 
1.7%
13 17
 
1.7%
18 15
 
1.5%
29 14
 
1.4%
20 13
 
1.3%
Other values (396) 814
80.7%
ValueCountFrequency (%)
2 2
 
0.2%
3 5
0.5%
4 4
 
0.4%
6 5
0.5%
7 6
0.6%
8 4
 
0.4%
9 5
0.5%
10 7
0.7%
11 10
1.0%
12 10
1.0%
ValueCountFrequency (%)
65154 1
0.1%
57784 1
0.1%
33007 1
0.1%
28398 1
0.1%
19217 1
0.1%
8256 1
0.1%
7569 1
0.1%
7143 1
0.1%
6925 1
0.1%
6738 1
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-31
1009 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 1009
100.0%

Length

2024-03-15T00:30:03.976377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:30:04.220319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 1009
100.0%

Interactions

2024-03-15T00:29:53.510494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:51.885699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:52.725340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:53.764894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:52.170287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:52.982494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:53.932212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:52.443850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:29:53.245929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:30:04.332397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터명강습요일시간장소정원대상구분남여합계
센터명1.0000.8410.9260.6980.5710.7230.9200.0580.2120.096
강습요일0.8411.0000.9430.8400.9050.9010.8010.8440.7610.745
시간0.9260.9431.0000.8830.9610.9580.8870.9520.9330.930
장소0.6980.8400.8831.0000.8960.7220.9340.7450.4320.500
정원0.5710.9050.9610.8961.0000.8120.9180.9510.9210.943
대상0.7230.9010.9580.7220.8121.0000.7950.0000.2110.043
구분0.9200.8010.8870.9340.9180.7951.0000.8560.8120.856
남0.0580.8440.9520.7450.9510.0000.8561.0000.9040.956
여0.2120.7610.9330.4320.9210.2110.8120.9041.0000.994
합계0.0960.7450.9300.5000.9430.0430.8560.9560.9941.000
2024-03-15T00:30:04.543590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상정원강습요일센터명구분장소
대상1.0000.5120.6390.5540.4520.449
정원0.5121.0000.5350.3240.5250.608
강습요일0.6390.5351.0000.5290.3340.499
센터명0.5540.3240.5291.0000.7250.477
구분0.4520.5250.3340.7251.0000.600
장소0.4490.6080.4990.4770.6001.000
2024-03-15T00:30:04.942244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
남여합계센터명강습요일장소정원대상구분
남1.0000.4540.6190.0390.5920.5030.8160.0000.574
여0.4541.0000.9510.1370.4550.2300.7340.1140.498
합계0.6190.9511.0000.0610.4360.2740.7940.0230.564
센터명0.0390.1370.0611.0000.5290.4770.3240.5540.725
강습요일0.5920.4550.4360.5291.0000.4990.5350.6390.334
장소0.5030.2300.2740.4770.4991.0000.6080.4490.600
정원0.8160.7340.7940.3240.5350.6081.0000.5120.525
대상0.0000.1140.0230.5540.6390.4490.5121.0000.452
구분0.5740.4980.5640.7250.3340.6000.5250.4521.000

Missing values

2024-03-15T00:29:54.170935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:29:54.460660image/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

센터명프로그램명강습요일시간장소정원대상구분남여합계데이터기준일자
0화성그린환경센터06시 성인 [월수금]_상급월수금06:00~06:50수영장25성인/청소년상급169252023-12-31
1화성그린환경센터06시 성인 [월수금]_마스터월수금06:00~06:50수영장25성인/청소년마스터1510252023-12-31
2화성그린환경센터07시 성인 (월수금)_상급월수금07:00~07:50수영장25성인/청소년상급1011212023-12-31
3화성그린환경센터07시 성인 (월수금)_마스터월수금07:00~07:50수영장25성인/청소년마스터169252023-12-31
4화성그린환경센터09시 성인 (월수금)_상급월수금09:00~09:50수영장25성인/청소년상급124252023-12-31
5화성그린환경센터09시 성인 (월수금)_마스터월수금09:00~09:50수영장25성인/청소년마스터616222023-12-31
6화성그린환경센터10시 성인 (월수금)_상급월수금10:00~10:50수영장25성인/청소년상급416202023-12-31
7화성그린환경센터10시 성인 (월수금)_마스터월수금10:00~10:50수영장25성인/청소년마스터317202023-12-31
8화성그린환경센터11시 아쿠아 (월수금)월수금11:00~11:50수영장55성인구분없음051512023-12-31
9화성그린환경센터12시 아쿠아 (월수금)월수금12:00~12:50수영장55성인구분없음055552023-12-31
센터명프로그램명강습요일시간장소정원대상구분남여합계데이터기준일자
999화성국민체육센터19B 저녁반_중급5(8개월차)화,목19:00-19:50수영장25제한없음구분없음791682472023-12-31
1000화성국민체육센터19B 저녁반_초급1(1개월차-처음)화,목19:00-19:50수영장25제한없음기초반873013882023-12-31
1001화성국민체육센터20A 저녁반_상급5(14개월차)월,수,금20:00-20:50수영장25제한없음구분없음1482293772023-12-31
1002화성국민체육센터20A 저녁반_중급2(5개월차)월,수,금20:00-20:50수영장25제한없음구분없음113781912023-12-31
1003화성국민체육센터20B 저녁반_상급4(13개월차)화,목20:00-20:50수영장25제한없음구분없음801602402023-12-31
1004화성국민체육센터20B 저녁반_중급5(8개월차)화,목20:00-20:50수영장25제한없음구분없음661331992023-12-31
1005화성국민체육센터20B 저녁반_초급2(2개월차)화,목20:00-20:50수영장25제한없음구분없음1392714102023-12-31
1006화성국민체육센터10A 웨이트 기초월,수10:00-10:50헬스장4제한없음기초반17971142023-12-31
1007화성국민체육센터10B 웨이트 기초화,목10:00-10:50헬스장4제한없음기초반01471472023-12-31
1008화성국민체육센터헬스월,화,수,목,금06:00-22:00헬스장450제한없음구분없음4050824646651542023-12-31

Duplicate rows

Most frequently occurring

센터명프로그램명강습요일시간장소정원대상구분남여합계데이터기준일자# duplicates
42화성남부체육센터줌바월수금17:00~17:50다목적실30성인구분없음014142023-12-315
21화성남부체육센터성인수영(저녁)화목19:00~19:50수영장25성인/청소년중급반1015252023-12-314
24화성남부체육센터아쿠아로빅월수금11:00~11:50수영장50성인/청소년구분없음256582023-12-314
25화성남부체육센터아쿠아로빅월수금11:00~11:50수영장50성인/청소년구분없음357602023-12-314
27화성남부체육센터아쿠아로빅월수금12:00~12:50수영장50성인/청소년구분없음445492023-12-314
36화성남부체육센터에어로빅월화수목금10:00~10:50다목적실30성인구분없음029292023-12-314
40화성남부체육센터재즈댄스화목20:00~20:50다목적실30성인구분없음030302023-12-314
5화성남부체육센터라인댄스월수금18:00~18:50다목적실30성인구분없음025252023-12-313
10화성남부체육센터성인수영(새벽)화목06:00~06:50수영장25성인/청소년상급반105152023-12-313
11화성남부체육센터성인수영(새벽)화목07:00~07:50수영장25성인/청소년상급반87152023-12-313