Overview

Dataset statistics

Number of variables7
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory59.8 B

Variable types

Numeric2
Categorical2
Text2
Boolean1

Dataset

DescriptionIoT기술지원센터에서 IoT분야 중소기업에게 제공되는 IoT 센서/기기 계측기자재 현황에 대한 정보 입니다. 해당 데이터가 보유한 칼럼은 다음과 같습니다. 칼럼명: 장비번호, 장비명, 모델명, 제조사, 이미지 등
Author정보통신산업진흥원
URLhttps://www.data.go.kr/data/15062257/fileData.do

Alerts

장비번호 is highly overall correlated with 센터High correlation
정렬순서 is highly overall correlated with 제조사High correlation
센터 is highly overall correlated with 장비번호 and 1 other fieldsHigh correlation
제조사 is highly overall correlated with 정렬순서 and 2 other fieldsHigh correlation
보이기 is highly overall correlated with 제조사High correlation
보이기 is highly imbalanced (89.7%)Imbalance
장비번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:59:15.367104
Analysis finished2023-12-12 03:59:16.619064
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40
Minimum3
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T12:59:16.724395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.65
Q121.25
median40
Q358.75
95-th percentile73.35
Maximum77
Range74
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation21.943264
Coefficient of variation (CV)0.54858161
Kurtosis-1.2256857
Mean40
Median Absolute Deviation (MAD)19
Skewness0
Sum2960
Variance481.50685
MonotonicityNot monotonic
2023-12-12T12:59:16.930902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 1
 
1.4%
32 1
 
1.4%
30 1
 
1.4%
29 1
 
1.4%
28 1
 
1.4%
27 1
 
1.4%
26 1
 
1.4%
25 1
 
1.4%
24 1
 
1.4%
23 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
11 1
1.4%
12 1
1.4%
ValueCountFrequency (%)
77 1
1.4%
76 1
1.4%
75 1
1.4%
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%

센터
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
신뢰성시험
33 
장비지원
14 
이동통신(M2M)
12 
근거리통신(RFID/USN)
11 
전자파(안테나/EMC)
4 

Length

Max length15
Median length12
Mean length7.3243243
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근거리통신(RFID/USN)
2nd row근거리통신(RFID/USN)
3rd row근거리통신(RFID/USN)
4th row근거리통신(RFID/USN)
5th row근거리통신(RFID/USN)

Common Values

ValueCountFrequency (%)
신뢰성시험 33
44.6%
장비지원 14
18.9%
이동통신(M2M) 12
 
16.2%
근거리통신(RFID/USN) 11
 
14.9%
전자파(안테나/EMC) 4
 
5.4%

Length

2023-12-12T12:59:17.120351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:59:17.266281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신뢰성시험 33
44.6%
장비지원 14
18.9%
이동통신(m2m 12
 
16.2%
근거리통신(rfid/usn 11
 
14.9%
전자파(안테나/emc 4
 
5.4%

장비명
Text

Distinct62
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T12:59:17.577185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length14.540541
Min length4

Characters and Unicode

Total characters1076
Distinct characters154
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)70.3%

Sample

1st rowUHF대역 RFID 태그감도 시험기
2nd rowUSN저전력 성능 분석툴
3rd rowUHF RFID Design Verification System
4th rowRFID Conformance Tester
5th rowActive RFID Protocol 시험기
ValueCountFrequency (%)
챔버 9
 
5.0%
system 6
 
3.4%
analyzer 6
 
3.4%
온습도 6
 
3.4%
oscilloscope 5
 
2.8%
rfid 5
 
2.8%
시험기 5
 
2.8%
signal 4
 
2.2%
chamber 4
 
2.2%
열충격 4
 
2.2%
Other values (98) 125
69.8%
2023-12-12T12:59:18.097684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
9.9%
e 62
 
5.8%
o 43
 
4.0%
r 39
 
3.6%
a 35
 
3.3%
n 35
 
3.3%
i 34
 
3.2%
l 32
 
3.0%
t 29
 
2.7%
c 27
 
2.5%
Other values (144) 634
58.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 452
42.0%
Other Letter 298
27.7%
Uppercase Letter 170
 
15.8%
Space Separator 106
 
9.9%
Decimal Number 26
 
2.4%
Other Punctuation 8
 
0.7%
Dash Punctuation 6
 
0.6%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 24
 
8.1%
기 24
 
8.1%
험 22
 
7.4%
버 16
 
5.4%
챔 15
 
5.0%
격 9
 
3.0%
온 9
 
3.0%
도 9
 
3.0%
습 8
 
2.7%
분 7
 
2.3%
Other values (82) 155
52.0%
Lowercase Letter
ValueCountFrequency (%)
e 62
13.7%
o 43
9.5%
r 39
8.6%
a 35
 
7.7%
n 35
 
7.7%
i 34
 
7.5%
l 32
 
7.1%
t 29
 
6.4%
c 27
 
6.0%
s 25
 
5.5%
Other values (14) 91
20.1%
Uppercase Letter
ValueCountFrequency (%)
S 21
12.4%
F 15
 
8.8%
A 14
 
8.2%
G 13
 
7.6%
C 11
 
6.5%
R 10
 
5.9%
D 9
 
5.3%
M 9
 
5.3%
I 9
 
5.3%
P 8
 
4.7%
Other values (11) 51
30.0%
Decimal Number
ValueCountFrequency (%)
3 7
26.9%
2 6
23.1%
1 4
15.4%
4 3
11.5%
5 2
 
7.7%
8 2
 
7.7%
0 2
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 5
62.5%
. 2
 
25.0%
& 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
[ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 622
57.8%
Hangul 298
27.7%
Common 156
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 24
 
8.1%
기 24
 
8.1%
험 22
 
7.4%
버 16
 
5.4%
챔 15
 
5.0%
격 9
 
3.0%
온 9
 
3.0%
도 9
 
3.0%
습 8
 
2.7%
분 7
 
2.3%
Other values (82) 155
52.0%
Latin
ValueCountFrequency (%)
e 62
 
10.0%
o 43
 
6.9%
r 39
 
6.3%
a 35
 
5.6%
n 35
 
5.6%
i 34
 
5.5%
l 32
 
5.1%
t 29
 
4.7%
c 27
 
4.3%
s 25
 
4.0%
Other values (35) 261
42.0%
Common
ValueCountFrequency (%)
106
67.9%
3 7
 
4.5%
2 6
 
3.8%
- 6
 
3.8%
/ 5
 
3.2%
1 4
 
2.6%
) 3
 
1.9%
( 3
 
1.9%
4 3
 
1.9%
~ 2
 
1.3%
Other values (7) 11
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 778
72.3%
Hangul 298
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
 
13.6%
e 62
 
8.0%
o 43
 
5.5%
r 39
 
5.0%
a 35
 
4.5%
n 35
 
4.5%
i 34
 
4.4%
l 32
 
4.1%
t 29
 
3.7%
c 27
 
3.5%
Other values (52) 336
43.2%
Hangul
ValueCountFrequency (%)
시 24
 
8.1%
기 24
 
8.1%
험 22
 
7.4%
버 16
 
5.4%
챔 15
 
5.0%
격 9
 
3.0%
온 9
 
3.0%
도 9
 
3.0%
습 8
 
2.7%
분 7
 
2.3%
Other values (82) 155
52.0%

모델명
Text

Distinct66
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T12:59:18.415057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length10.027027
Min length4

Characters and Unicode

Total characters742
Distinct characters76
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)78.4%

Sample

1st rowTagformance lite
2nd rowRogaDAQ16
3rd rowAGT7050
4th rowT3110
5th rowActive RFID Protocol
ValueCountFrequency (%)
chamber 5
 
4.3%
g-9150 2
 
1.7%
es-106l 2
 
1.7%
c 2
 
1.7%
system 2
 
1.7%
ota 2
 
1.7%
sp 2
 
1.7%
dpo70604 2
 
1.7%
psl-2kph 2
 
1.7%
g4 2
 
1.7%
Other values (86) 92
80.0%
2023-12-12T12:59:18.887980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67
 
9.0%
41
 
5.5%
S 37
 
5.0%
- 35
 
4.7%
1 33
 
4.4%
2 28
 
3.8%
5 27
 
3.6%
E 23
 
3.1%
A 22
 
3.0%
e 21
 
2.8%
Other values (66) 408
55.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 268
36.1%
Decimal Number 237
31.9%
Lowercase Letter 134
18.1%
Space Separator 41
 
5.5%
Dash Punctuation 35
 
4.7%
Other Punctuation 11
 
1.5%
Other Letter 11
 
1.5%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 37
13.8%
E 23
 
8.6%
A 22
 
8.2%
P 19
 
7.1%
C 18
 
6.7%
T 18
 
6.7%
D 17
 
6.3%
L 15
 
5.6%
H 15
 
5.6%
G 11
 
4.1%
Other values (15) 73
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
15.7%
a 13
 
9.7%
m 11
 
8.2%
l 10
 
7.5%
r 10
 
7.5%
i 8
 
6.0%
o 8
 
6.0%
t 7
 
5.2%
h 7
 
5.2%
c 6
 
4.5%
Other values (11) 33
24.6%
Other Letter
ValueCountFrequency (%)
종 1
9.1%
류 1
9.1%
버 1
9.1%
서 1
9.1%
랫 1
9.1%
각 1
9.1%
폼 1
9.1%
플 1
9.1%
시 1
9.1%
험 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 67
28.3%
1 33
13.9%
2 28
11.8%
5 27
11.4%
6 20
 
8.4%
4 18
 
7.6%
8 13
 
5.5%
3 12
 
5.1%
9 10
 
4.2%
7 9
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 4
36.4%
. 3
27.3%
, 2
18.2%
& 2
18.2%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 402
54.2%
Common 329
44.3%
Hangul 11
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 37
 
9.2%
E 23
 
5.7%
A 22
 
5.5%
e 21
 
5.2%
P 19
 
4.7%
C 18
 
4.5%
T 18
 
4.5%
D 17
 
4.2%
L 15
 
3.7%
H 15
 
3.7%
Other values (36) 197
49.0%
Common
ValueCountFrequency (%)
0 67
20.4%
41
12.5%
- 35
10.6%
1 33
10.0%
2 28
8.5%
5 27
8.2%
6 20
 
6.1%
4 18
 
5.5%
8 13
 
4.0%
3 12
 
3.6%
Other values (9) 35
10.6%
Hangul
ValueCountFrequency (%)
종 1
9.1%
류 1
9.1%
버 1
9.1%
서 1
9.1%
랫 1
9.1%
각 1
9.1%
폼 1
9.1%
플 1
9.1%
시 1
9.1%
험 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730
98.4%
Hangul 11
 
1.5%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67
 
9.2%
41
 
5.6%
S 37
 
5.1%
- 35
 
4.8%
1 33
 
4.5%
2 28
 
3.8%
5 27
 
3.7%
E 23
 
3.2%
A 22
 
3.0%
e 21
 
2.9%
Other values (54) 396
54.2%
Hangul
ValueCountFrequency (%)
종 1
9.1%
류 1
9.1%
버 1
9.1%
서 1
9.1%
랫 1
9.1%
각 1
9.1%
폼 1
9.1%
플 1
9.1%
시 1
9.1%
험 1
9.1%
None
ValueCountFrequency (%)
× 1
100.0%

제조사
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
Keysight Technologies (구) Agilent Technologies
13 
ESPEC
6 
HITACHI
5 
Tektronix
 
4
WEISS
 
3
Other values (31)
43 

Length

Max length47
Median length18
Mean length14.72973
Min length2

Unique

Unique20 ?
Unique (%)27.0%

Sample

1st rowVoyantic
2nd rowRoga
3rd rowAgilent Technologies
4th rowAT4 Wireless
5th row(주)씽크어스

Common Values

ValueCountFrequency (%)
Keysight Technologies (구) Agilent Technologies 13
17.6%
ESPEC 6
 
8.1%
HITACHI 5
 
6.8%
Tektronix 4
 
5.4%
WEISS 3
 
4.1%
Rohde&Schwarz 3
 
4.1%
Aplustech 2
 
2.7%
Angelantoni 2
 
2.7%
L.A.B 2
 
2.7%
Noiseken 2
 
2.7%
Other values (26) 32
43.2%

Length

2023-12-12T12:59:19.047439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
technologies 28
20.4%
agilent 16
 
11.7%
keysight 14
 
10.2%
구 13
 
9.5%
espec 6
 
4.4%
hitachi 5
 
3.6%
tektronix 4
 
2.9%
weiss 3
 
2.2%
rohde&schwarz 3
 
2.2%
플러스테크 2
 
1.5%
Other values (34) 43
31.4%

정렬순서
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.486486
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T12:59:19.163706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q315.75
95-th percentile30.35
Maximum999
Range998
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation115.17018
Coefficient of variation (CV)4.7034181
Kurtosis73.111075
Mean24.486486
Median Absolute Deviation (MAD)5
Skewness8.5261942
Sum1812
Variance13264.171
MonotonicityNot monotonic
2023-12-12T12:59:19.294476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 5
 
6.8%
2 5
 
6.8%
3 5
 
6.8%
4 5
 
6.8%
6 4
 
5.4%
7 4
 
5.4%
8 4
 
5.4%
9 4
 
5.4%
10 4
 
5.4%
11 4
 
5.4%
Other values (24) 30
40.5%
ValueCountFrequency (%)
1 5
6.8%
2 5
6.8%
3 5
6.8%
4 5
6.8%
5 3
4.1%
6 4
5.4%
7 4
5.4%
8 4
5.4%
9 4
5.4%
10 4
5.4%
ValueCountFrequency (%)
999 1
1.4%
33 1
1.4%
32 1
1.4%
31 1
1.4%
30 1
1.4%
29 1
1.4%
28 1
1.4%
27 1
1.4%
26 1
1.4%
25 1
1.4%

보이기
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size206.0 B
True
73 
False
 
1
ValueCountFrequency (%)
True 73
98.6%
False 1
 
1.4%
2023-12-12T12:59:19.412953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T12:59:16.162966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:15.929543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:16.272987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:16.047682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:59:19.487187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비번호센터장비명모델명제조사정렬순서보이기
장비번호1.0000.9850.9170.8700.8780.0000.000
센터0.9851.0000.9871.0000.9790.0570.057
장비명0.9170.9871.0000.9990.9981.0001.000
모델명0.8701.0000.9991.0001.0001.0001.000
제조사0.8780.9790.9981.0001.0001.0001.000
정렬순서0.0000.0571.0001.0001.0001.0000.687
보이기0.0000.0571.0001.0001.0000.6871.000
2023-12-12T12:59:19.615905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제조사보이기센터
제조사1.0000.7260.661
보이기0.7261.0000.063
센터0.6610.0631.000
2023-12-12T12:59:19.709214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비번호정렬순서센터제조사보이기
장비번호1.000-0.1950.7960.4180.000
정렬순서-0.1951.0000.0630.7260.482
센터0.7960.0631.0000.6610.063
제조사0.4180.7260.6611.0000.726
보이기0.0000.4820.0630.7261.000

Missing values

2023-12-12T12:59:16.429670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:59:16.567574image/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

장비번호센터장비명모델명제조사정렬순서보이기
036근거리통신(RFID/USN)UHF대역 RFID 태그감도 시험기Tagformance liteVoyantic1Y
137근거리통신(RFID/USN)USN저전력 성능 분석툴RogaDAQ16Roga2Y
238근거리통신(RFID/USN)UHF RFID Design Verification SystemAGT7050Agilent Technologies3Y
339근거리통신(RFID/USN)RFID Conformance TesterT3110AT4 Wireless4Y
441근거리통신(RFID/USN)Active RFID Protocol 시험기Active RFID Protocol(주)씽크어스6Y
542근거리통신(RFID/USN)응용기술 표준규격 시험기Z2082CAgilent Technologies7Y
643근거리통신(RFID/USN)HF RFID 표준규격시험기Z2242-69500Agilent8Y
744근거리통신(RFID/USN)NFC 표준 규격시험기T1141Keysight Technolog9Y
845근거리통신(RFID/USN)EMV Contactless Level1 규격시험기MP300 SCL1Micropross10Y
946근거리통신(RFID/USN)IEEE 802.15.4 RF 시험기IEEE 802.15.4 RF 시험기NI11Y
장비번호센터장비명모델명제조사정렬순서보이기
6468장비지원임의파형발생기[Arbitrary Waveform Generator]AWG7062BTektronix5Y
6569장비지원Logic Analyzer16902AKeysight Technologies (구) Agilent Technologies6Y
6670장비지원Network AnalyzerE5071BKeysight Technologies (구) Agilent Technologies7Y
6771장비지원Noise Figure AnalyzerN8975AKeysight Technologies (구) Agilent Technologies8Y
6872장비지원OscilloscopeDSA91204A, DSA91304AKeysight Technologies (구) Agilent Technologies9Y
6973장비지원Infiniun Oscilloscope54855AKeysight Technologies (구) Agilent Technologies10Y
7074장비지원OscilloscopeDPO70604Tektronix11Y
7175장비지원OscilloscopeDPO70604Tektronix12Y
7276장비지원Power MeterML2488BTektronix13Y
7377장비지원testtesttest999N