Overview

Dataset statistics

Number of variables12
Number of observations112
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory103.1 B

Variable types

Numeric5
Categorical7

Dataset

Description춘천도시공사에서 관리하는 강습 프로그램 데이터(코드, 시설코드, 번호, 이름, 시간, 코스, 내용, 대상, 요일, 정원, 현재인원, 대기인원)program 테이블로 구성
Author춘천도시공사
URLhttps://www.data.go.kr/data/15094397/fileData.do

Alerts

코드 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 코드 and 5 other fieldsHigh correlation
정원 is highly overall correlated with 코드 and 2 other fieldsHigh correlation
현재인원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
시설코드 is highly overall correlated with 코드 and 4 other fieldsHigh correlation
이름 is highly overall correlated with 번호 and 4 other fieldsHigh correlation
시간 is highly overall correlated with 번호 and 4 other fieldsHigh correlation
코스 is highly overall correlated with 시간 and 2 other fieldsHigh correlation
내용 is highly overall correlated with 번호 and 4 other fieldsHigh correlation
대상 is highly overall correlated with 번호 and 5 other fieldsHigh correlation
요일 is highly overall correlated with 번호 and 6 other fieldsHigh correlation
코드 has unique valuesUnique
현재인원 has 10 (8.9%) zerosZeros
대기인원 has 13 (11.6%) zerosZeros

Reproduction

Analysis started2024-03-14 13:00:31.221252
Analysis finished2024-03-14 13:00:37.210592
Duration5.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T22:00:37.354589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.55
Q129.75
median57.5
Q388.25
95-th percentile122.45
Maximum128
Range127
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation36.519278
Coefficient of variation (CV)0.60362443
Kurtosis-1.0669105
Mean60.5
Median Absolute Deviation (MAD)29.5
Skewness0.2063308
Sum6776
Variance1333.6577
MonotonicityStrictly increasing
2024-03-14T22:00:37.618908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
59 1
 
0.9%
88 1
 
0.9%
87 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
Other values (102) 102
91.1%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
11 1
0.9%
ValueCountFrequency (%)
128 1
0.9%
127 1
0.9%
126 1
0.9%
125 1
0.9%
124 1
0.9%
123 1
0.9%
122 1
0.9%
121 1
0.9%
120 1
0.9%
119 1
0.9%

시설코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
150
39 
200
38 
1
35 

Length

Max length3
Median length3
Mean length2.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
150 39
34.8%
200 38
33.9%
1 35
31.2%

Length

2024-03-14T22:00:38.040954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:00:38.377295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
150 39
34.8%
200 38
33.9%
1 35
31.2%

번호
Real number (ℝ)

HIGH CORRELATION 

Distinct53
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.616071
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T22:00:38.730000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q112.75
median31
Q343
95-th percentile60.45
Maximum90
Range89
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation19.206908
Coefficient of variation (CV)0.64852991
Kurtosis-0.39364961
Mean29.616071
Median Absolute Deviation (MAD)16
Skewness0.36426106
Sum3317
Variance368.90532
MonotonicityNot monotonic
2024-03-14T22:00:39.166298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 4
 
3.6%
1 3
 
2.7%
34 3
 
2.7%
43 3
 
2.7%
42 3
 
2.7%
3 3
 
2.7%
2 3
 
2.7%
50 3
 
2.7%
41 3
 
2.7%
40 3
 
2.7%
Other values (43) 81
72.3%
ValueCountFrequency (%)
1 3
2.7%
2 3
2.7%
3 3
2.7%
4 2
1.8%
5 3
2.7%
6 3
2.7%
7 2
1.8%
8 1
 
0.9%
9 1
 
0.9%
10 3
2.7%
ValueCountFrequency (%)
90 1
0.9%
71 1
0.9%
70 1
0.9%
63 1
0.9%
61 2
1.8%
60 2
1.8%
59 1
0.9%
55 1
0.9%
54 1
0.9%
53 1
0.9%

이름
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
오전수영
21 
어린이수영
21 
저녁수영
18 
주말수영
18 
새벽수영
12 
Other values (5)
22 

Length

Max length7
Median length4
Mean length4.3125
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
오전수영 21
18.8%
어린이수영 21
18.8%
저녁수영 18
16.1%
주말수영 18
16.1%
새벽수영 12
10.7%
아쿠아로빅 8
 
7.1%
아침수영 7
 
6.2%
에어로빅 4
 
3.6%
요가/필라테스 2
 
1.8%
탁구스쿨 1
 
0.9%

Length

2024-03-14T22:00:39.588556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:00:39.946625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오전수영 21
18.8%
어린이수영 21
18.8%
저녁수영 18
16.1%
주말수영 18
16.1%
새벽수영 12
10.7%
아쿠아로빅 8
 
7.1%
아침수영 7
 
6.2%
에어로빅 4
 
3.6%
요가/필라테스 2
 
1.8%
탁구스쿨 1
 
0.9%

시간
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
16:00~16:50
15 
06:00~06:50
10 
07:00~07:50
9 
10:00~10:50
9 
17:00~17:50
9 
Other values (21)
60 

Length

Max length12
Median length11
Mean length11.008929
Min length11

Unique

Unique10 ?
Unique (%)8.9%

Sample

1st row06:00~06:50
2nd row06:00~06:50
3rd row06:00~06:50
4th row07:00~07:50
5th row07:00~07:50

Common Values

ValueCountFrequency (%)
16:00~16:50 15
13.4%
06:00~06:50 10
 
8.9%
07:00~07:50 9
 
8.0%
10:00~10:50 9
 
8.0%
17:00~17:50 9
 
8.0%
09:00~09:50 8
 
7.1%
15:00~15:50 7
 
6.2%
18:50~19:40 6
 
5.4%
19:40~20:30 6
 
5.4%
11:00~11:50 4
 
3.6%
Other values (16) 29
25.9%

Length

2024-03-14T22:00:40.373159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16:00~16:50 15
13.3%
06:00~06:50 10
 
8.8%
07:00~07:50 9
 
8.0%
10:00~10:50 9
 
8.0%
17:00~17:50 9
 
8.0%
09:00~09:50 8
 
7.1%
15:00~15:50 7
 
6.2%
18:50~19:40 6
 
5.3%
19:40~20:30 6
 
5.3%
11:00~11:50 4
 
3.5%
Other values (17) 30
26.5%

코스
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
초급
33 
중급
30 
상급
30 
<NA>
5 
연수
 
3
Other values (7)
11 

Length

Max length10
Median length2
Mean length2.3214286
Min length2

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row초급
2nd row중급
3rd row연수
4th row초급
5th row중급

Common Values

ValueCountFrequency (%)
초급 33
29.5%
중급 30
26.8%
상급 30
26.8%
<NA> 5
 
4.5%
연수 3
 
2.7%
2반 2
 
1.8%
아쿠아로빅 2
 
1.8%
수중운동, 건강체조 2
 
1.8%
\N 2
 
1.8%
1반 1
 
0.9%
Other values (2) 2
 
1.8%

Length

2024-03-14T22:00:40.785097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초급 33
28.7%
중급 31
27.0%
상급 31
27.0%
na 5
 
4.3%
연수 3
 
2.6%
2반 2
 
1.7%
아쿠아로빅 2
 
1.7%
수중운동 2
 
1.7%
건강체조 2
 
1.7%
n 2
 
1.7%
Other values (2) 2
 
1.7%

내용
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
자유형, 배영
30 
평영
30 
접영
30 
아쿠아로빅
8 
에어로빅/박스스텝
4 
Other values (6)
10 

Length

Max length9
Median length2
Mean length4.1160714
Min length2

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row자유형, 배영
2nd row평영
3rd row영법교정
4th row자유형, 배영
5th row평영

Common Values

ValueCountFrequency (%)
자유형, 배영 30
26.8%
평영 30
26.8%
접영 30
26.8%
아쿠아로빅 8
 
7.1%
에어로빅/박스스텝 4
 
3.6%
영법교정 3
 
2.7%
자유형,배영 2
 
1.8%
요가/필라테스 2
 
1.8%
탁구 강습 1
 
0.9%
자유형/배영 1
 
0.9%

Length

2024-03-14T22:00:41.216097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평영 31
21.5%
접영 31
21.5%
자유형 30
20.8%
배영 30
20.8%
아쿠아로빅 8
 
5.6%
에어로빅/박스스텝 4
 
2.8%
영법교정 3
 
2.1%
자유형,배영 2
 
1.4%
요가/필라테스 2
 
1.4%
탁구 1
 
0.7%
Other values (2) 2
 
1.4%

대상
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
남녀(성인/청소년)
36 
초등학생
27 
성인남녀
20 
남녀(성인)
13 
남녀(초등학생)
12 
Other values (3)
4 

Length

Max length11
Median length10
Mean length6.7589286
Min length4

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row남녀(성인/청소년)
2nd row남녀(성인/청소년)
3rd row성인남녀
4th row남녀(성인/청소년)
5th row남녀(성인/청소년)

Common Values

ValueCountFrequency (%)
남녀(성인/청소년) 36
32.1%
초등학생 27
24.1%
성인남녀 20
17.9%
남녀(성인) 13
 
11.6%
남녀(초등학생) 12
 
10.7%
남녀(초등학생이상) 2
 
1.8%
성인여성 1
 
0.9%
남녀(초등4학년이상) 1
 
0.9%

Length

2024-03-14T22:00:41.645652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:00:42.005310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남녀(성인/청소년 36
32.1%
초등학생 27
24.1%
성인남녀 20
17.9%
남녀(성인 13
 
11.6%
남녀(초등학생 12
 
10.7%
남녀(초등학생이상 2
 
1.8%
성인여성 1
 
0.9%
남녀(초등4학년이상 1
 
0.9%

요일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
화수목금
58 
월화수목
27 
토일
14 
토
 
4
월수금
 
4
Other values (2)
 
5

Length

Max length4
Median length4
Mean length3.5535714
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
화수목금 58
51.8%
월화수목 27
24.1%
토일 14
 
12.5%
토 4
 
3.6%
월수금 4
 
3.6%
화목금 4
 
3.6%
화목 1
 
0.9%

Length

2024-03-14T22:00:42.431434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:00:42.778100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화수목금 58
51.8%
월화수목 27
24.1%
토일 14
 
12.5%
토 4
 
3.6%
월수금 4
 
3.6%
화목금 4
 
3.6%
화목 1
 
0.9%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.732143
Minimum15
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T22:00:43.107139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile20
Q122
median25
Q330
95-th percentile50
Maximum50
Range35
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.7898202
Coefficient of variation (CV)0.30592289
Kurtosis0.71254138
Mean28.732143
Median Absolute Deviation (MAD)3
Skewness1.256155
Sum3218
Variance77.26094
MonotonicityNot monotonic
2024-03-14T22:00:43.465229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
25 32
28.6%
22 29
25.9%
30 18
16.1%
40 10
 
8.9%
50 10
 
8.9%
35 6
 
5.4%
20 5
 
4.5%
15 2
 
1.8%
ValueCountFrequency (%)
15 2
 
1.8%
20 5
 
4.5%
22 29
25.9%
25 32
28.6%
30 18
16.1%
35 6
 
5.4%
40 10
 
8.9%
50 10
 
8.9%
ValueCountFrequency (%)
50 10
 
8.9%
40 10
 
8.9%
35 6
 
5.4%
30 18
16.1%
25 32
28.6%
22 29
25.9%
20 5
 
4.5%
15 2
 
1.8%

현재인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.419643
Minimum0
Maximum50
Zeros10
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T22:00:43.823637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median25
Q330
95-th percentile50
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.705576
Coefficient of variation (CV)0.46049333
Kurtosis0.88549658
Mean25.419643
Median Absolute Deviation (MAD)5
Skewness-0.05160111
Sum2847
Variance137.02051
MonotonicityNot monotonic
2024-03-14T22:00:44.167176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 34
30.4%
25 30
26.8%
30 14
12.5%
0 10
 
8.9%
50 9
 
8.0%
35 8
 
7.1%
40 6
 
5.4%
27 1
 
0.9%
ValueCountFrequency (%)
0 10
 
8.9%
20 34
30.4%
25 30
26.8%
27 1
 
0.9%
30 14
12.5%
35 8
 
7.1%
40 6
 
5.4%
50 9
 
8.0%
ValueCountFrequency (%)
50 9
 
8.0%
40 6
 
5.4%
35 8
 
7.1%
30 14
12.5%
27 1
 
0.9%
25 30
26.8%
20 34
30.4%
0 10
 
8.9%

대기인원
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.785714
Minimum0
Maximum183
Zeros13
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T22:00:44.729102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.75
median17
Q370.75
95-th percentile153.4
Maximum183
Range183
Interquartile range (IQR)65

Descriptive statistics

Standard deviation51.593251
Coefficient of variation (CV)1.2347103
Kurtosis0.47388728
Mean41.785714
Median Absolute Deviation (MAD)15
Skewness1.3030886
Sum4680
Variance2661.8636
MonotonicityNot monotonic
2024-03-14T22:00:45.166256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
11.6%
6 7
 
6.2%
10 5
 
4.5%
2 5
 
4.5%
7 4
 
3.6%
17 4
 
3.6%
22 3
 
2.7%
27 3
 
2.7%
5 3
 
2.7%
19 3
 
2.7%
Other values (50) 62
55.4%
ValueCountFrequency (%)
0 13
11.6%
1 2
 
1.8%
2 5
 
4.5%
3 2
 
1.8%
4 3
 
2.7%
5 3
 
2.7%
6 7
6.2%
7 4
 
3.6%
8 1
 
0.9%
9 1
 
0.9%
ValueCountFrequency (%)
183 2
1.8%
173 1
0.9%
171 1
0.9%
160 2
1.8%
148 1
0.9%
145 1
0.9%
138 1
0.9%
134 1
0.9%
132 1
0.9%
130 2
1.8%

Interactions

2024-03-14T22:00:35.911583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:32.428197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:33.368001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:34.356939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:35.107472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:36.062153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:32.676621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:33.508400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:34.510282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:35.252317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:36.202273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:32.821810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:33.845295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:34.649645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:35.396383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:36.360775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:32.977978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:33.993720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:34.805578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:35.623251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:36.508157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:33.209026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:34.126910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:34.950806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:00:35.759513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:00:45.449729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드시설코드번호이름시간코스내용대상요일정원현재인원대기인원
코드1.0000.8750.6760.8380.7810.2210.4440.6530.7010.4870.7730.000
시설코드0.8751.0000.2940.4570.5410.2540.1750.7120.7590.6100.8460.000
번호0.6760.2941.0000.9390.9500.6320.8320.8440.7770.4660.4230.463
이름0.8380.4570.9391.0000.9560.7510.8860.8790.8810.5660.4570.727
시간0.7810.5410.9500.9561.0000.8920.7750.9470.9510.6020.6550.586
코스0.2210.2540.6320.7510.8921.0000.9540.5400.8180.6200.6040.601
내용0.4440.1750.8320.8860.7750.9541.0000.7910.7890.6210.5190.613
대상0.6530.7120.8440.8790.9470.5400.7911.0000.7690.6660.5320.445
요일0.7010.7590.7770.8810.9510.8180.7890.7691.0000.7880.5780.602
정원0.4870.6100.4660.5660.6020.6200.6210.6660.7881.0000.8140.355
현재인원0.7730.8460.4230.4570.6550.6040.5190.5320.5780.8141.0000.361
대기인원0.0000.0000.4630.7270.5860.6010.6130.4450.6020.3550.3611.000
2024-03-14T22:00:45.777691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상코스요일시간시설코드이름내용
대상1.0000.3040.5490.6990.5870.6750.526
코스0.3041.0000.5860.5420.1440.4740.842
요일0.5490.5861.0000.7210.6800.7020.537
시간0.6990.5420.7211.0000.2910.7100.367
시설코드0.5870.1440.6800.2911.0000.2980.095
이름0.6750.4740.7020.7100.2981.0000.642
내용0.5260.8420.5370.3670.0950.6421.000
2024-03-14T22:00:46.075690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드번호정원현재인원대기인원시설코드이름시간코스내용대상요일
코드1.0000.5180.5610.2190.0470.7820.4050.3830.0900.2030.3800.446
번호0.5181.0000.2760.088-0.0670.1290.7900.6910.3690.5720.6220.555
정원0.5610.2761.0000.6830.1170.6970.3060.2710.3480.3160.3680.454
현재인원0.2190.0880.6831.0000.1430.5140.2450.2680.3590.3350.3070.346
대기인원0.047-0.0670.1170.1431.0000.0000.3010.2300.3040.3130.2270.353
시설코드0.7820.1290.6970.5140.0001.0000.2980.2910.1440.0950.5870.680
이름0.4050.7900.3060.2450.3010.2981.0000.7100.4740.6420.6750.702
시간0.3830.6910.2710.2680.2300.2910.7101.0000.5420.3670.6990.721
코스0.0900.3690.3480.3590.3040.1440.4740.5421.0000.8420.3040.586
내용0.2030.5720.3160.3350.3130.0950.6420.3670.8421.0000.5260.537
대상0.3800.6220.3680.3070.2270.5870.6750.6990.3040.5261.0000.549
요일0.4460.5550.4540.3460.3530.6800.7020.7210.5860.5370.5491.000

Missing values

2024-03-14T22:00:36.815781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:00:37.100708image/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

코드시설코드번호이름시간코스내용대상요일정원현재인원대기인원
0111아침수영06:00~06:50초급자유형, 배영남녀(성인/청소년)월화수목2220122
1212아침수영06:00~06:50중급평영남녀(성인/청소년)월화수목222010
2414아침수영06:00~06:50연수영법교정성인남녀월화수목22250
3515아침수영07:00~07:50초급자유형, 배영남녀(성인/청소년)월화수목222083
4616아침수영07:00~07:50중급평영남녀(성인/청소년)월화수목222012
5717아침수영07:00~07:50상급접영남녀(성인/청소년)월화수목22254
68110오전수영09:00~09:50초급자유형, 배영남녀(성인/청소년)월화수목22200
79111오전수영09:00~09:50초급자유형, 배영남녀(성인/청소년)월화수목222050
810113오전수영09:00~09:50상급접영남녀(성인/청소년)월화수목22253
911114오전수영10:00~10:50초급자유형, 배영남녀(성인/청소년)월화수목222060
코드시설코드번호이름시간코스내용대상요일정원현재인원대기인원
10211920047주말수영11:00~11:50초급자유형,배영초등학생토일25066
10312020048주말수영11:00~11:50중급, 상급평영, 접영초등학생토일3006
104121112오전수영09:00~09:50중급평영남녀(성인/청소년)월화수목22011
105122134저녁수영19:40~20:30중급평영남녀(성인/청소년)월화수목1506
10612315051아쿠아로빅15:10 ~16:00아쿠아로빅아쿠아로빅성인남녀화목금5050130
10712420010오전수영09:00~09:50상급접영성인남녀화수목금50028
108125149아쿠아로빅12:00~12:502반아쿠아로빅남녀(성인)월수금40040
109126143주말수영15:00~16:40초급자유형, 배영초등학생토22011
11012715059에어로빅08:00~08:50\N에어로빅/박스스텝남녀(성인/청소년)화수목금30027
11112815063에어로빅11:00~11:50\N에어로빅/박스스텝남녀(성인/청소년)화수목금30028