Overview

Dataset statistics

Number of variables4
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.6 B

Variable types

Categorical3
Numeric1

Dataset

Description해상에서 긴급 상황발생시 긴급 무선 주파수 대역 및 채널 현황에 대한 데이터로 구분, 전파형식, 주파수, 단위 등의 항목을 제공합니다.
Author해양경찰청
URLhttps://www.data.go.kr/data/15016403/fileData.do

Alerts

주파수 is highly overall correlated with 단위High correlation
구분 is highly overall correlated with 전파형식High correlation
전파형식 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
단위 is highly overall correlated with 주파수 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 00:03:20.008278
Analysis finished2023-12-12 00:03:20.459868
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
무선전화
15 
디지털선택호출장치
14 

Length

Max length9
Median length4
Mean length6.4137931
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무선전화 15
51.7%
디지털선택호출장치 14
48.3%

Length

2023-12-12T09:03:20.553770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:20.685493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무선전화 15
51.7%
디지털선택호출장치 14
48.3%

전파형식
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
J3E
7 
F1B
6 
J2B
6 
H3E
5 
F3E
2 
Other values (3)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st rowH3E
2nd rowH3E
3rd rowH3E
4th rowH3E
5th rowH3E

Common Values

ValueCountFrequency (%)
J3E 7
24.1%
F1B 6
20.7%
J2B 6
20.7%
H3E 5
17.2%
F3E 2
 
6.9%
G3E 1
 
3.4%
G1B 1
 
3.4%
G2B 1
 
3.4%

Length

2023-12-12T09:03:20.820173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:20.961295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
j3e 7
24.1%
f1b 6
20.7%
j2b 6
20.7%
h3e 5
17.2%
f3e 2
 
6.9%
g3e 1
 
3.4%
g1b 1
 
3.4%
g2b 1
 
3.4%

주파수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4243.3529
Minimum12.29
Maximum16804.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T09:03:21.145828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.29
5-th percentile12.4048
Q1156.525
median2639.4
Q36312
95-th percentile13448.5
Maximum16804.5
Range16792.21
Interquartile range (IQR)6155.475

Descriptive statistics

Standard deviation4546.1997
Coefficient of variation (CV)1.0713697
Kurtosis2.2216776
Mean4243.3529
Median Absolute Deviation (MAD)2485.6
Skewness1.4621871
Sum123057.23
Variance20667931
MonotonicityNot monotonic
2023-12-12T09:03:21.268522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2182.0 2
 
6.9%
6312.0 2
 
6.9%
6215.0 2
 
6.9%
8291.0 2
 
6.9%
12.29 2
 
6.9%
156.525 2
 
6.9%
16804.5 2
 
6.9%
12.577 2
 
6.9%
8414.5 2
 
6.9%
4125.0 2
 
6.9%
Other values (7) 9
31.0%
ValueCountFrequency (%)
12.29 2
6.9%
12.577 2
6.9%
153.8 1
3.4%
156.45 1
3.4%
156.525 2
6.9%
156.8 1
3.4%
2110.0 1
3.4%
2182.0 2
6.9%
2187.5 2
6.9%
2639.4 1
3.4%
ValueCountFrequency (%)
16804.5 2
6.9%
8414.5 2
6.9%
8291.0 2
6.9%
6312.0 2
6.9%
6215.0 2
6.9%
4207.5 2
6.9%
4125.0 2
6.9%
2639.4 1
3.4%
2187.5 2
6.9%
2182.0 2
6.9%

단위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
㎑
24 
㎒
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row㎑
2nd row㎑
3rd row㎑
4th row㎑
5th row㎑

Common Values

ValueCountFrequency (%)
㎑ 24
82.8%
㎒ 5
 
17.2%

Length

2023-12-12T09:03:21.445736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:21.568133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㎑ 24
82.8%
㎒ 5
 
17.2%

Interactions

2023-12-12T09:03:20.165702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:03:21.648618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분전파형식주파수단위
구분1.0001.0000.1690.000
전파형식1.0001.0000.0001.000
주파수0.1690.0001.0000.529
단위0.0001.0000.5291.000
2023-12-12T09:03:21.780525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전파형식단위구분
전파형식1.0000.8820.882
단위0.8821.0000.000
구분0.8820.0001.000
2023-12-12T09:03:21.890726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주파수구분전파형식단위
주파수1.0000.1390.0000.508
구분0.1391.0000.8820.000
전파형식0.0000.8821.0000.882
단위0.5080.0000.8821.000

Missing values

2023-12-12T09:03:20.318622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:03:20.416410image/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

구분전파형식주파수단위
0무선전화H3E2182.0㎑
1무선전화H3E4125.0㎑
2무선전화H3E6215.0㎑
3무선전화H3E8291.0㎑
4무선전화H3E12.29㎑
5무선전화J3E2182.0㎑
6무선전화J3E4125.0㎑
7무선전화J3E6215.0㎑
8무선전화J3E8291.0㎑
9무선전화J3E12.29㎑
구분전파형식주파수단위
19디지털선택호출장치F1B12.577㎑
20디지털선택호출장치F1B16804.5㎑
21디지털선택호출장치J2B2187.5㎑
22디지털선택호출장치J2B4207.5㎑
23디지털선택호출장치J2B6312.0㎑
24디지털선택호출장치J2B8414.5㎑
25디지털선택호출장치J2B12.577㎑
26디지털선택호출장치J2B16804.5㎑
27디지털선택호출장치G1B156.525㎒
28디지털선택호출장치G2B156.525㎒