Overview

Dataset statistics

Number of variables4
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory36.8 B

Variable types

Categorical2
Numeric2

Dataset

Description화성시외5개자치단체가공동으로이용하는시민친화적적장묘시설로함백산추모공원지역별,화장및봉안이용현황정보를 제공합니다. (2022년)
Author화성도시공사
URLhttps://www.data.go.kr/data/15097631/fileData.do

Alerts

이용현황 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 이용현황High correlation

Reproduction

Analysis started2023-12-12 10:35:00.132178
Analysis finished2023-12-12 10:35:00.902667
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2022
48 
2021
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 48
66.7%
2021 24
33.3%

Length

2023-12-12T19:35:00.996913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:35:01.124497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 48
66.7%
2021 24
33.3%

월
Real number (ℝ)

Distinct12
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:35:01.264743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q15
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3272244
Coefficient of variation (CV)0.44362993
Kurtosis-0.87339435
Mean7.5
Median Absolute Deviation (MAD)2.5
Skewness-0.45308772
Sum540
Variance11.070423
MonotonicityNot monotonic
2023-12-12T19:35:01.387831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 8
11.1%
8 8
11.1%
9 8
11.1%
10 8
11.1%
11 8
11.1%
12 8
11.1%
1 4
5.6%
2 4
5.6%
3 4
5.6%
4 4
5.6%
Other values (2) 8
11.1%
ValueCountFrequency (%)
1 4
5.6%
2 4
5.6%
3 4
5.6%
4 4
5.6%
5 4
5.6%
6 4
5.6%
7 8
11.1%
8 8
11.1%
9 8
11.1%
10 8
11.1%
ValueCountFrequency (%)
12 8
11.1%
11 8
11.1%
10 8
11.1%
9 8
11.1%
8 8
11.1%
7 8
11.1%
6 4
5.6%
5 4
5.6%
4 4
5.6%
3 4
5.6%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
봉안
18 
유택
18 
자연
18 
화장
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row봉안
2nd row유택
3rd row자연
4th row화장
5th row봉안

Common Values

ValueCountFrequency (%)
봉안 18
25.0%
유택 18
25.0%
자연 18
25.0%
화장 18
25.0%

Length

2023-12-12T19:35:01.543625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:35:01.693074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉안 18
25.0%
유택 18
25.0%
자연 18
25.0%
화장 18
25.0%

이용현황
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean487.25
Minimum33
Maximum1855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T19:35:01.852129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile36
Q160
median137.5
Q3658.5
95-th percentile1571
Maximum1855
Range1822
Interquartile range (IQR)598.5

Descriptive statistics

Standard deviation560.28176
Coefficient of variation (CV)1.1498856
Kurtosis-0.30628693
Mean487.25
Median Absolute Deviation (MAD)104
Skewness1.0866609
Sum35082
Variance313915.65
MonotonicityNot monotonic
2023-12-12T19:35:02.050819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 3
 
4.2%
36 3
 
4.2%
79 2
 
2.8%
47 2
 
2.8%
66 2
 
2.8%
104 2
 
2.8%
46 2
 
2.8%
45 2
 
2.8%
323 1
 
1.4%
1284 1
 
1.4%
Other values (52) 52
72.2%
ValueCountFrequency (%)
33 1
 
1.4%
34 1
 
1.4%
36 3
4.2%
42 1
 
1.4%
44 1
 
1.4%
45 2
2.8%
46 2
2.8%
47 2
2.8%
48 1
 
1.4%
49 3
4.2%
ValueCountFrequency (%)
1855 1
1.4%
1656 1
1.4%
1634 1
1.4%
1582 1
1.4%
1562 1
1.4%
1552 1
1.4%
1550 1
1.4%
1514 1
1.4%
1449 1
1.4%
1341 1
1.4%

Interactions

2023-12-12T19:35:00.475832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:35:00.274667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:35:00.579058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:35:00.363297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:35:02.186140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월구분이용현황
년1.0000.4910.0000.425
월0.4911.0000.0000.000
구분0.0000.0001.0000.870
이용현황0.4250.0000.8701.000
2023-12-12T19:35:02.303152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년구분
년1.0000.000
구분0.0001.000
2023-12-12T19:35:02.411281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월이용현황년구분
월1.0000.0440.3540.000
이용현황0.0441.0000.4020.742
년0.3540.4021.0000.000
구분0.0000.7420.0001.000

Missing values

2023-12-12T19:35:00.741055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:35:00.864456image/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

년월구분이용현황
020217봉안323
120217유택47
220217자연42
320217화장868
420218봉안332
520218유택48
620218자연36
720218화장864
820219봉안368
920219유택64
년월구분이용현황
62202210자연49
63202210화장1550
64202211봉안506
65202211유택101
66202211자연63
67202211화장1562
68202212봉안577
69202212유택126
70202212자연49
71202212화장1634