Overview

Dataset statistics

Number of variables9
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory75.8 B

Variable types

Categorical4
Text1
DateTime3
Numeric1

Dataset

Description인천광역시 부평구에서 운영하는 부평국민체육센터의 프로그램 정보(종목, 요금 등)에 관한 데이터를 제공합니다.
Author인천광역시부평구시설관리공단
URLhttps://www.data.go.kr/data/15003016/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종목 is highly overall correlated with 대상 and 1 other fieldsHigh correlation
대상 is highly overall correlated with 종목High correlation
요일 is highly overall correlated with 청소년요금High correlation
청소년요금 is highly overall correlated with 종목 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 08:47:40.042349
Analysis finished2023-12-12 08:47:40.834436
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
수영
23 
요가
6 
배드민턴
6 
아쿠아로빅
4 
탁구
4 
Other values (3)
5 

Length

Max length5
Median length2
Mean length2.625
Min length2

Unique

Unique2 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
수영 23
47.9%
요가 6
 
12.5%
배드민턴 6
 
12.5%
아쿠아로빅 4
 
8.3%
탁구 4
 
8.3%
에어로빅 3
 
6.2%
헬스 1
 
2.1%
줌바 1
 
2.1%

Length

2023-12-12T17:47:40.915343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:41.062723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영 23
47.9%
요가 6
 
12.5%
배드민턴 6
 
12.5%
아쿠아로빅 4
 
8.3%
탁구 4
 
8.3%
에어로빅 3
 
6.2%
헬스 1
 
2.1%
줌바 1
 
2.1%

반명
Text

Distinct32
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T17:47:41.301079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.3958333
Min length2

Characters and Unicode

Total characters259
Distinct characters51
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)33.3%

Sample

1st row새벽1반
2nd row새벽1반
3rd row새벽2반
4th row새벽2반
5th row여성1반
ValueCountFrequency (%)
새벽1반 2
 
4.2%
아코아로빅2반 2
 
4.2%
직장인2반 2
 
4.2%
새벽2반 2
 
4.2%
배트민턴강습1반 2
 
4.2%
배드민턴강습2반 2
 
4.2%
일일입장1 2
 
4.2%
요가2반 2
 
4.2%
일일입장2 2
 
4.2%
어린이2반 2
 
4.2%
Other values (22) 28
58.3%
2023-12-12T17:47:41.673798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
반 41
 
15.8%
1 21
 
8.1%
2 21
 
8.1%
어 9
 
3.5%
장 8
 
3.1%
아 8
 
3.1%
일 8
 
3.1%
로 7
 
2.7%
빅 7
 
2.7%
요 6
 
2.3%
Other values (41) 123
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
80.3%
Decimal Number 47
 
18.1%
Other Punctuation 2
 
0.8%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
반 41
19.7%
어 9
 
4.3%
장 8
 
3.8%
아 8
 
3.8%
일 8
 
3.8%
로 7
 
3.4%
빅 7
 
3.4%
요 6
 
2.9%
성 6
 
2.9%
가 6
 
2.9%
Other values (35) 102
49.0%
Decimal Number
ValueCountFrequency (%)
1 21
44.7%
2 21
44.7%
3 5
 
10.6%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
80.3%
Common 51
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
반 41
19.7%
어 9
 
4.3%
장 8
 
3.8%
아 8
 
3.8%
일 8
 
3.8%
로 7
 
3.4%
빅 7
 
3.4%
요 6
 
2.9%
성 6
 
2.9%
가 6
 
2.9%
Other values (35) 102
49.0%
Common
ValueCountFrequency (%)
1 21
41.2%
2 21
41.2%
3 5
 
9.8%
& 2
 
3.9%
( 1
 
2.0%
) 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
80.3%
ASCII 51
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
반 41
19.7%
어 9
 
4.3%
장 8
 
3.8%
아 8
 
3.8%
일 8
 
3.8%
로 7
 
3.4%
빅 7
 
3.4%
요 6
 
2.9%
성 6
 
2.9%
가 6
 
2.9%
Other values (35) 102
49.0%
ASCII
ValueCountFrequency (%)
1 21
41.2%
2 21
41.2%
3 5
 
9.8%
& 2
 
3.9%
( 1
 
2.0%
) 1
 
2.0%

시작시간
Date

Distinct17
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2023-12-12 06:00:00
Maximum2023-12-12 20:00:00
2023-12-12T17:47:41.824514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:41.942527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

종료시간
Date

Distinct19
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2023-12-12 06:50:00
Maximum2023-12-12 21:00:00
2023-12-12T17:47:42.070126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:42.213818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

대상
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
성인/청소년
25 
전연령
10 
여성전용
6 
초등학생
4 
성인
3 

Length

Max length6
Median length6
Mean length4.7083333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성인/청소년 25
52.1%
전연령 10
 
20.8%
여성전용 6
 
12.5%
초등학생 4
 
8.3%
성인 3
 
6.2%

Length

2023-12-12T17:47:42.403435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:42.512386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인/청소년 25
52.1%
전연령 10
 
20.8%
여성전용 6
 
12.5%
초등학생 4
 
8.3%
성인 3
 
6.2%

요일
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
월/수/금
17 
화/목
14 
월/화/수/목/금
13 
월/화/수/목/금/토
4 

Length

Max length11
Median length9
Mean length6
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월/수/금
2nd row화/목
3rd row월/수/금
4th row화/목
5th row월/수/금

Common Values

ValueCountFrequency (%)
월/수/금 17
35.4%
화/목 14
29.2%
월/화/수/목/금 13
27.1%
월/화/수/목/금/토 4
 
8.3%

Length

2023-12-12T17:47:42.652722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:42.762632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월/수/금 17
35.4%
화/목 14
29.2%
월/화/수/목/금 13
27.1%
월/화/수/목/금/토 4
 
8.3%

요금
Real number (ℝ)

Distinct10
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43385.417
Minimum1000
Maximum60000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T17:47:42.856048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q140000
median49500
Q352800
95-th percentile52800
Maximum60000
Range59000
Interquartile range (IQR)12800

Descriptive statistics

Standard deviation14283.765
Coefficient of variation (CV)0.32922965
Kurtosis4.4598182
Mean43385.417
Median Absolute Deviation (MAD)4400
Skewness-2.1582437
Sum2082500
Variance2.0402595 × 108
MonotonicityNot monotonic
2023-12-12T17:47:42.968894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
52800 13
27.1%
40000 8
16.7%
49500 7
14.6%
41800 5
 
10.4%
50000 4
 
8.3%
1000 4
 
8.3%
36800 2
 
4.2%
44000 2
 
4.2%
60000 2
 
4.2%
35000 1
 
2.1%
ValueCountFrequency (%)
1000 4
 
8.3%
35000 1
 
2.1%
36800 2
 
4.2%
40000 8
16.7%
41800 5
 
10.4%
44000 2
 
4.2%
49500 7
14.6%
50000 4
 
8.3%
52800 13
27.1%
60000 2
 
4.2%
ValueCountFrequency (%)
60000 2
 
4.2%
52800 13
27.1%
50000 4
 
8.3%
49500 7
14.6%
44000 2
 
4.2%
41800 5
 
10.4%
40000 8
16.7%
36800 2
 
4.2%
35000 1
 
2.1%
1000 4
 
8.3%

청소년요금
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
청소년요금 없음
28 
47300
9 
44000
7 
36300
3 
30000
 
1

Length

Max length8
Median length8
Mean length6.75
Min length5

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row47300
2nd row44000
3rd row47300
4th row44000
5th row47300

Common Values

ValueCountFrequency (%)
청소년요금 없음 28
58.3%
47300 9
 
18.8%
44000 7
 
14.6%
36300 3
 
6.2%
30000 1
 
2.1%

Length

2023-12-12T17:47:43.095064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:43.222899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년요금 28
36.8%
없음 28
36.8%
47300 9
 
11.8%
44000 7
 
9.2%
36300 3
 
3.9%
30000 1
 
1.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T17:47:43.315490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:43.416822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:47:40.476229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:47:43.496727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목반명시작시간종료시간대상요일요금청소년요금
종목1.0000.9970.8800.9070.8210.7850.7560.738
반명0.9971.0000.9960.9951.0000.6650.6760.853
시작시간0.8800.9961.0000.9970.8650.3910.4150.483
종료시간0.9070.9950.9971.0000.9320.1070.6660.086
대상0.8211.0000.8650.9321.0000.3390.7030.590
요일0.7850.6650.3910.1070.3391.0000.3760.785
요금0.7560.6760.4150.6660.7030.3761.0000.579
청소년요금0.7380.8530.4830.0860.5900.7850.5791.000
2023-12-12T17:47:43.632696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목요일대상청소년요금
종목1.0000.4270.6640.551
요일0.4271.0000.2760.730
대상0.6640.2761.0000.252
청소년요금0.5510.7300.2521.000
2023-12-12T17:47:43.731806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요금종목대상요일청소년요금
요금1.0000.4670.3970.3870.241
종목0.4671.0000.6640.4270.551
대상0.3970.6641.0000.2760.252
요일0.3870.4270.2761.0000.730
청소년요금0.2410.5510.2520.7301.000

Missing values

2023-12-12T17:47:40.621261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:47:40.776315image/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

종목반명시작시간종료시간대상요일요금청소년요금데이터기준일자
0수영새벽1반06:00:0006:50:00성인/청소년월/수/금52800473002023-10-31
1수영새벽1반06:00:0006:50:00성인/청소년화/목49500440002023-10-31
2수영새벽2반07:00:0007:50:00성인/청소년월/수/금52800473002023-10-31
3수영새벽2반07:00:0007:50:00성인/청소년화/목49500440002023-10-31
4수영여성1반09:00:0009:50:00여성전용월/수/금52800473002023-10-31
5수영여성1반09:00:0009:50:00여성전용화/목49500440002023-10-31
6수영어성2반10:00:0010:50:00여성전용월/수/금52800473002023-10-31
7수영어성2반10:00:0010:50:00여성전용화/목49500440002023-10-31
8수영여성3반11:00:0011:50:00여성전용월/수/금52800473002023-10-31
9수영여성3반11:00:0011:50:00여성전용화/목49500440002023-10-31
종목반명시작시간종료시간대상요일요금청소년요금데이터기준일자
38배드민턴배트민턴강습1반06:30:0008:30:00전연령월/수/금50000청소년요금 없음2023-10-31
39배드민턴배트민턴강습1반06:30:0008:30:00전연령화/목40000청소년요금 없음2023-10-31
40배드민턴배드민턴강습2반10:00:0012:00:00전연령월/수/금50000청소년요금 없음2023-10-31
41배드민턴배드민턴강습2반10:00:0012:00:00전연령화/목40000청소년요금 없음2023-10-31
42배드민턴일일입장106:30:0008:30:00전연령월/화/수/목/금1000청소년요금 없음2023-10-31
43배드민턴일일입장210:00:0012:00:00전연령월/화/수/목/금1000청소년요금 없음2023-10-31
44탁구탁구강습1반13:30:0015:30:00전연령월/화/수/목/금60000청소년요금 없음2023-10-31
45탁구탁구강습2반19:00:0021:00:00전연령월/화/수/목/금60000청소년요금 없음2023-10-31
46탁구일일입장113:30:0015:30:00전연령월/화/수/목/금1000청소년요금 없음2023-10-31
47탁구일일입장219:00:0021:00:00전연령월/화/수/목/금1000청소년요금 없음2023-10-31