Overview

Dataset statistics

Number of variables3
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory26.9 B

Variable types

Text1
Categorical1
Numeric1

Dataset

Description사격장 운영에 따른 이용 시간 및 이용 요금
Author대구시설공단
URLhttps://www.data.go.kr/data/3055156/fileData.do

Alerts

이용요금 is highly overall correlated with 구분(실내/외)High correlation
구분(실내/외) is highly overall correlated with 이용요금High correlation
종목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:52:06.539785
Analysis finished2023-12-12 06:52:06.936616
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T15:52:07.129880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length20.57971
Min length8

Characters and Unicode

Total characters1420
Distinct characters92
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

Unique69 ?
Unique (%)100.0%

Sample

1st row클레이-일반-25발
2nd row클레이-일반-10발
3rd row클레이-청소년 · 회원 · 단체-25발
4th row클레이-청소년 · 회원 · 단체-10발
5th row클레이-선수-비회원-1라운드(25접시)
ValueCountFrequency (%)
실내사격장 21
 
8.1%
· 16
 
6.2%
25m 16
 
6.2%
단체 13
 
5.0%
1시간 10
 
3.9%
4시간 10
 
3.9%
개인 8
 
3.1%
센터파이어 8
 
3.1%
회원 8
 
3.1%
소총 8
 
3.1%
Other values (55) 140
54.3%
2023-12-12T15:52:07.571611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
13.3%
사 91
 
6.4%
- 63
 
4.4%
총 40
 
2.8%
, 37
 
2.6%
격 36
 
2.5%
1 33
 
2.3%
체 32
 
2.3%
료 32
 
2.3%
M 31
 
2.2%
Other values (82) 836
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 880
62.0%
Space Separator 189
 
13.3%
Decimal Number 136
 
9.6%
Dash Punctuation 63
 
4.4%
Other Punctuation 53
 
3.7%
Uppercase Letter 39
 
2.7%
Close Punctuation 28
 
2.0%
Open Punctuation 28
 
2.0%
Lowercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 91
 
10.3%
총 40
 
4.5%
격 36
 
4.1%
체 32
 
3.6%
료 32
 
3.6%
소 30
 
3.4%
용 29
 
3.3%
장 26
 
3.0%
시 26
 
3.0%
간 24
 
2.7%
Other values (63) 514
58.4%
Decimal Number
ValueCountFrequency (%)
1 33
24.3%
5 30
22.1%
0 29
21.3%
2 22
16.2%
4 12
 
8.8%
3 4
 
2.9%
8 2
 
1.5%
7 2
 
1.5%
9 2
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
M 31
79.5%
V 4
 
10.3%
R 4
 
10.3%
Other Punctuation
ValueCountFrequency (%)
, 37
69.8%
· 16
30.2%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 880
62.0%
Common 497
35.0%
Latin 43
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 91
 
10.3%
총 40
 
4.5%
격 36
 
4.1%
체 32
 
3.6%
료 32
 
3.6%
소 30
 
3.4%
용 29
 
3.3%
장 26
 
3.0%
시 26
 
3.0%
간 24
 
2.7%
Other values (63) 514
58.4%
Common
ValueCountFrequency (%)
189
38.0%
- 63
 
12.7%
, 37
 
7.4%
1 33
 
6.6%
5 30
 
6.0%
0 29
 
5.8%
) 28
 
5.6%
( 28
 
5.6%
2 22
 
4.4%
· 16
 
3.2%
Other values (5) 22
 
4.4%
Latin
ValueCountFrequency (%)
M 31
72.1%
V 4
 
9.3%
m 4
 
9.3%
R 4
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 880
62.0%
ASCII 524
36.9%
None 16
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
36.1%
- 63
 
12.0%
, 37
 
7.1%
1 33
 
6.3%
M 31
 
5.9%
5 30
 
5.7%
0 29
 
5.5%
) 28
 
5.3%
( 28
 
5.3%
2 22
 
4.2%
Other values (8) 34
 
6.5%
Hangul
ValueCountFrequency (%)
사 91
 
10.3%
총 40
 
4.5%
격 36
 
4.1%
체 32
 
3.6%
료 32
 
3.6%
소 30
 
3.4%
용 29
 
3.3%
장 26
 
3.0%
시 26
 
3.0%
간 24
 
2.7%
Other values (63) 514
58.4%
None
ValueCountFrequency (%)
· 16
100.0%

구분(실내/외)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
실내
53 
실외
15 
해당없음
 
1

Length

Max length4
Median length2
Mean length2.0289855
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
실내 53
76.8%
실외 15
 
21.7%
해당없음 1
 
1.4%

Length

2023-12-12T15:52:07.761454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:52:07.929718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내 53
76.8%
실외 15
 
21.7%
해당없음 1
 
1.4%

이용요금
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7773.913
Minimum300
Maximum100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T15:52:08.046427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile940
Q11500
median3000
Q311000
95-th percentile20000
Maximum100000
Range99700
Interquartile range (IQR)9500

Descriptive statistics

Standard deviation13503.667
Coefficient of variation (CV)1.7370489
Kurtosis32.832433
Mean7773.913
Median Absolute Deviation (MAD)2000
Skewness5.1574726
Sum536400
Variance1.8234902 × 108
MonotonicityNot monotonic
2023-12-12T15:52:08.168738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1000 8
 
11.6%
1500 7
 
10.1%
2000 6
 
8.7%
3000 4
 
5.8%
2500 4
 
5.8%
4000 4
 
5.8%
16000 4
 
5.8%
300 3
 
4.3%
5000 3
 
4.3%
13000 3
 
4.3%
Other values (17) 23
33.3%
ValueCountFrequency (%)
300 3
 
4.3%
900 1
 
1.4%
1000 8
11.6%
1500 7
10.1%
1800 1
 
1.4%
2000 6
8.7%
2500 4
5.8%
2800 1
 
1.4%
3000 4
5.8%
3500 2
 
2.9%
ValueCountFrequency (%)
100000 1
 
1.4%
45000 1
 
1.4%
24000 1
 
1.4%
20000 2
2.9%
16000 4
5.8%
14000 2
2.9%
13000 3
4.3%
12000 2
2.9%
11000 2
2.9%
10000 1
 
1.4%

Interactions

2023-12-12T15:52:06.678437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:52:08.257206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목구분(실내/외)이용요금
종목1.0001.0001.000
구분(실내/외)1.0001.0000.723
이용요금1.0000.7231.000
2023-12-12T15:52:08.351899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용요금구분(실내/외)
이용요금1.0000.704
구분(실내/외)0.7041.000

Missing values

2023-12-12T15:52:06.806661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:52:06.900472image/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

종목구분(실내/외)이용요금
0클레이-일반-25발실외24000
1클레이-일반-10발실외11000
2클레이-청소년 · 회원 · 단체-25발실외20000
3클레이-청소년 · 회원 · 단체-10발실외9000
4클레이-선수-비회원-1라운드(25접시)실외8000
5클레이-선수-청소년 · 회원 · 단체-1라운드(25접시)실외7000
6클레이-선수-감경실외4000
7권총-일반 9mm-10발실내16000
8권총-청소년 · 회원 · 단체 9mm-10발실내13000
9권총-일반 38구경-10발실내16000
종목구분(실내/외)이용요금
59스크린사격-청소년 단체실내1000
60비비탄사격-일반 개인실내3000
61비비탄사격-일반 단체실내2500
62비비탄사격-청소년 개인실내2500
63비비탄사격-청소년 단체실내2000
64VR사격-일반 개인실내3000
65VR사격-일반 단체실내2500
66VR사격-청소년 개인실내2500
67VR사격-청소년 단체실내2000
68회원가입비(1년)해당없음100000