Overview

Dataset statistics

Number of variables3
Number of observations181
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory25.7 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description한국방송통신전파진흥원에서 수행하는 무선국검사 관련 측정 장비 종류 및 보유수량 현황 입니다. 컬럼 : 장비분류 명(무선국 검사용 측정기, 전자파 측정기, 교정용 측정기), 장비명, 보유개수
URLhttps://www.data.go.kr/data/15076836/fileData.do

Reproduction

Analysis started2023-12-12 22:17:17.226647
Analysis finished2023-12-12 22:17:17.580467
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비분류 명
Categorical

Distinct8
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
검사용측정기기(부대품)
76 
검사용측정기기(장비)
40 
교정용측정기기(장비)
26 
전자파측정기기(부대품)
18 
교정용측정기기(부대품)
8 
Other values (3)
13 

Length

Max length12
Median length12
Mean length11.475138
Min length7

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row검사용측정기기(부대품)
2nd row검사용측정기기(부대품)
3rd row검사용측정기기(부대품)
4th row검사용측정기기(부대품)
5th row검사용측정기기(부대품)

Common Values

ValueCountFrequency (%)
검사용측정기기(부대품) 76
42.0%
검사용측정기기(장비) 40
22.1%
교정용측정기기(장비) 26
 
14.4%
전자파측정기기(부대품) 18
 
9.9%
교정용측정기기(부대품) 8
 
4.4%
전자파측정기기(장비) 8
 
4.4%
교육용(장비) 4
 
2.2%
전자파모니터링(장비) 1
 
0.6%

Length

2023-12-13T07:17:17.653842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:17:17.790582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용측정기기(부대품 76
42.0%
검사용측정기기(장비 40
22.1%
교정용측정기기(장비 26
 
14.4%
전자파측정기기(부대품 18
 
9.9%
교정용측정기기(부대품 8
 
4.4%
전자파측정기기(장비 8
 
4.4%
교육용(장비 4
 
2.2%
전자파모니터링(장비 1
 
0.6%

장비 명
Text

Distinct164
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T07:17:18.035168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length12.723757
Min length3

Characters and Unicode

Total characters2303
Distinct characters233
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)81.8%

Sample

1st rowBPF-2500
2nd rowBand Rejection Filter
3rd rowBurst Carrier Trigger/Pre AMP
4th rowDC BLOCK
5th rowDC Block
ValueCountFrequency (%)
power 12
 
3.7%
signal 9
 
2.8%
analyzer 8
 
2.5%
generator 7
 
2.2%
network 6
 
1.9%
sensor 5
 
1.6%
module 5
 
1.6%
time 4
 
1.2%
counter 4
 
1.2%
kit 4
 
1.2%
Other values (203) 257
80.1%
2023-12-13T07:17:18.419790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
6.1%
e 103
 
4.5%
r 91
 
4.0%
o 62
 
2.7%
기 60
 
2.6%
t 59
 
2.6%
( 56
 
2.4%
) 56
 
2.4%
i 54
 
2.3%
a 54
 
2.3%
Other values (223) 1567
68.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 733
31.8%
Other Letter 682
29.6%
Uppercase Letter 509
22.1%
Space Separator 141
 
6.1%
Decimal Number 73
 
3.2%
Open Punctuation 56
 
2.4%
Close Punctuation 56
 
2.4%
Other Punctuation 28
 
1.2%
Dash Punctuation 21
 
0.9%
Letter Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 60
 
8.8%
정 22
 
3.2%
측 20
 
2.9%
이 19
 
2.8%
스 18
 
2.6%
대 18
 
2.6%
용 17
 
2.5%
전 17
 
2.5%
형 15
 
2.2%
트 14
 
2.1%
Other values (154) 462
67.7%
Lowercase Letter
ValueCountFrequency (%)
e 103
14.1%
r 91
12.4%
o 62
 
8.5%
t 59
 
8.0%
i 54
 
7.4%
a 54
 
7.4%
l 50
 
6.8%
n 46
 
6.3%
m 28
 
3.8%
u 27
 
3.7%
Other values (16) 159
21.7%
Uppercase Letter
ValueCountFrequency (%)
S 48
 
9.4%
E 39
 
7.7%
A 38
 
7.5%
M 37
 
7.3%
P 36
 
7.1%
R 32
 
6.3%
N 28
 
5.5%
G 25
 
4.9%
I 24
 
4.7%
T 23
 
4.5%
Other values (13) 179
35.2%
Decimal Number
ValueCountFrequency (%)
0 20
27.4%
2 12
16.4%
1 10
13.7%
5 9
12.3%
3 5
 
6.8%
8 5
 
6.8%
4 4
 
5.5%
9 4
 
5.5%
6 3
 
4.1%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 16
57.1%
. 6
 
21.4%
, 6
 
21.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1245
54.1%
Hangul 682
29.6%
Common 376
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 60
 
8.8%
정 22
 
3.2%
측 20
 
2.9%
이 19
 
2.8%
스 18
 
2.6%
대 18
 
2.6%
용 17
 
2.5%
전 17
 
2.5%
형 15
 
2.2%
트 14
 
2.1%
Other values (154) 462
67.7%
Latin
ValueCountFrequency (%)
e 103
 
8.3%
r 91
 
7.3%
o 62
 
5.0%
t 59
 
4.7%
i 54
 
4.3%
a 54
 
4.3%
l 50
 
4.0%
S 48
 
3.9%
n 46
 
3.7%
E 39
 
3.1%
Other values (41) 639
51.3%
Common
ValueCountFrequency (%)
141
37.5%
( 56
 
14.9%
) 56
 
14.9%
- 21
 
5.6%
0 20
 
5.3%
/ 16
 
4.3%
2 12
 
3.2%
1 10
 
2.7%
5 9
 
2.4%
. 6
 
1.6%
Other values (8) 29
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1618
70.3%
Hangul 682
29.6%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
 
8.7%
e 103
 
6.4%
r 91
 
5.6%
o 62
 
3.8%
t 59
 
3.6%
( 56
 
3.5%
) 56
 
3.5%
i 54
 
3.3%
a 54
 
3.3%
l 50
 
3.1%
Other values (57) 892
55.1%
Hangul
ValueCountFrequency (%)
기 60
 
8.8%
정 22
 
3.2%
측 20
 
2.9%
이 19
 
2.8%
스 18
 
2.6%
대 18
 
2.6%
용 17
 
2.5%
전 17
 
2.5%
형 15
 
2.2%
트 14
 
2.1%
Other values (154) 462
67.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%

보유개수
Real number (ℝ)

Distinct57
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.40884
Minimum1
Maximum451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:17:18.576529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q322
95-th percentile99
Maximum451
Range450
Interquartile range (IQR)21

Descriptive statistics

Standard deviation46.857333
Coefficient of variation (CV)2.1886909
Kurtosis42.022901
Mean21.40884
Median Absolute Deviation (MAD)4
Skewness5.5348939
Sum3875
Variance2195.6097
MonotonicityNot monotonic
2023-12-13T07:17:18.719121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 63
34.8%
2 14
 
7.7%
5 10
 
5.5%
9 6
 
3.3%
3 5
 
2.8%
7 5
 
2.8%
22 4
 
2.2%
4 4
 
2.2%
12 4
 
2.2%
10 3
 
1.7%
Other values (47) 63
34.8%
ValueCountFrequency (%)
1 63
34.8%
2 14
 
7.7%
3 5
 
2.8%
4 4
 
2.2%
5 10
 
5.5%
6 1
 
0.6%
7 5
 
2.8%
8 3
 
1.7%
9 6
 
3.3%
10 3
 
1.7%
ValueCountFrequency (%)
451 1
0.6%
226 1
0.6%
214 1
0.6%
126 1
0.6%
125 1
0.6%
120 1
0.6%
118 1
0.6%
108 1
0.6%
105 1
0.6%
99 1
0.6%

Interactions

2023-12-13T07:17:17.377668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:17:18.851526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비분류 명보유개수
장비분류 명1.0000.670
보유개수0.6701.000
2023-12-13T07:17:18.944670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보유개수장비분류 명
보유개수1.0000.490
장비분류 명0.4901.000

Missing values

2023-12-13T07:17:17.470287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:17:17.545825image/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

장비분류 명장비 명보유개수
0검사용측정기기(부대품)BPF-250027
1검사용측정기기(부대품)Band Rejection Filter12
2검사용측정기기(부대품)Burst Carrier Trigger/Pre AMP1
3검사용측정기기(부대품)DC BLOCK84
4검사용측정기기(부대품)DC Block66
5검사용측정기기(부대품)DUMMY LOAD22
6검사용측정기기(부대품)Dummy Load5
7검사용측정기기(부대품)GPS수신기54
8검사용측정기기(부대품)M/W FUSE108
9검사용측정기기(부대품)M/W파 FUSE10
장비분류 명장비 명보유개수
171전자파측정기기(부대품)자기장프로브1
172전자파측정기기(부대품)태블릿PC17
173전자파측정기기(장비)ELF 전자파 측정기4
174전자파측정기기(장비)EME Spy Evolution2
175전자파측정기기(장비)고정형(협대역) 전자파측정기8
176전자파측정기기(장비)광대역 전자파 측정기2
177전자파측정기기(장비)광대역 전자파측정기7
178전자파측정기기(장비)스펙트럼분석기22
179전자파측정기기(장비)스펙트럼분석기(휴대용)10
180전자파측정기기(장비)이동형 전자파측정시스템11