Overview

Dataset statistics

Number of variables4
Number of observations883
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.6 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description한전KDN에서 보유하고 있는 전력정보통신설비 계측 장비 보유 현황입니다. 장비별 모델명과 도입년월에 대한 정보를 제공합니다.
Author한전KDN(주)
URLhttps://www.data.go.kr/data/15024915/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:22:26.724278
Analysis finished2023-12-11 23:22:27.385984
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct883
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442
Minimum1
Maximum883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-12T08:22:27.453771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.1
Q1221.5
median442
Q3662.5
95-th percentile838.9
Maximum883
Range882
Interquartile range (IQR)441

Descriptive statistics

Standard deviation255.04444
Coefficient of variation (CV)0.57702362
Kurtosis-1.2
Mean442
Median Absolute Deviation (MAD)221
Skewness0
Sum390286
Variance65047.667
MonotonicityStrictly increasing
2023-12-12T08:22:27.622659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
595 1
 
0.1%
584 1
 
0.1%
585 1
 
0.1%
586 1
 
0.1%
587 1
 
0.1%
588 1
 
0.1%
589 1
 
0.1%
590 1
 
0.1%
591 1
 
0.1%
Other values (873) 873
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
883 1
0.1%
882 1
0.1%
881 1
0.1%
880 1
0.1%
879 1
0.1%
878 1
0.1%
877 1
0.1%
876 1
0.1%
875 1
0.1%
874 1
0.1%

장비명
Text

Distinct113
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2023-12-12T08:22:27.860836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length11.039638
Min length3

Characters and Unicode

Total characters9748
Distinct characters193
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)6.1%

Sample

1st rowIEC61850 전송패킷 성능 측정용 장치
2nd row오실로스코프
3rd row디지털크램프메터
4th row오실로스코프
5th row전력손실시험장치
ValueCountFrequency (%)
배전지능화용 123
 
9.3%
통합시험기 119
 
9.0%
배터리테스터기 117
 
8.9%
지능형 117
 
8.9%
열화상카메라 74
 
5.6%
power 62
 
4.7%
디지털클램프메터 48
 
3.6%
analyzer 46
 
3.5%
광파워메타 42
 
3.2%
배터리테스터기(임피던스 42
 
3.2%
Other values (145) 526
40.0%
2023-12-12T08:22:28.291304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 535
 
5.5%
기 460
 
4.7%
433
 
4.4%
스 375
 
3.8%
지 375
 
3.8%
배 344
 
3.5%
메 272
 
2.8%
능 262
 
2.7%
( 237
 
2.4%
) 237
 
2.4%
Other values (183) 6218
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7167
73.5%
Uppercase Letter 1546
 
15.9%
Space Separator 433
 
4.4%
Open Punctuation 237
 
2.4%
Close Punctuation 237
 
2.4%
Other Punctuation 84
 
0.9%
Decimal Number 24
 
0.2%
Lowercase Letter 19
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 535
 
7.5%
기 460
 
6.4%
스 375
 
5.2%
지 375
 
5.2%
배 344
 
4.8%
메 272
 
3.8%
능 262
 
3.7%
테 229
 
3.2%
리 215
 
3.0%
화 215
 
3.0%
Other values (134) 3885
54.2%
Uppercase Letter
ValueCountFrequency (%)
E 189
12.2%
R 188
12.2%
A 143
9.2%
C 132
 
8.5%
T 115
 
7.4%
L 114
 
7.4%
S 95
 
6.1%
P 89
 
5.8%
O 86
 
5.6%
W 62
 
4.0%
Other values (13) 333
21.5%
Lowercase Letter
ValueCountFrequency (%)
r 4
21.1%
n 3
15.8%
t 2
10.5%
o 2
10.5%
e 2
10.5%
d 2
10.5%
c 1
 
5.3%
a 1
 
5.3%
u 1
 
5.3%
i 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 5
20.8%
5 5
20.8%
1 5
20.8%
6 3
12.5%
3 2
 
8.3%
2 2
 
8.3%
8 1
 
4.2%
4 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 40
47.6%
/ 38
45.2%
. 4
 
4.8%
% 2
 
2.4%
Space Separator
ValueCountFrequency (%)
433
100.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7167
73.5%
Latin 1565
 
16.1%
Common 1016
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 535
 
7.5%
기 460
 
6.4%
스 375
 
5.2%
지 375
 
5.2%
배 344
 
4.8%
메 272
 
3.8%
능 262
 
3.7%
테 229
 
3.2%
리 215
 
3.0%
화 215
 
3.0%
Other values (134) 3885
54.2%
Latin
ValueCountFrequency (%)
E 189
12.1%
R 188
12.0%
A 143
9.1%
C 132
 
8.4%
T 115
 
7.3%
L 114
 
7.3%
S 95
 
6.1%
P 89
 
5.7%
O 86
 
5.5%
W 62
 
4.0%
Other values (23) 352
22.5%
Common
ValueCountFrequency (%)
433
42.6%
( 237
23.3%
) 237
23.3%
, 40
 
3.9%
/ 38
 
3.7%
0 5
 
0.5%
5 5
 
0.5%
1 5
 
0.5%
. 4
 
0.4%
6 3
 
0.3%
Other values (6) 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7167
73.5%
ASCII 2581
 
26.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 535
 
7.5%
기 460
 
6.4%
스 375
 
5.2%
지 375
 
5.2%
배 344
 
4.8%
메 272
 
3.8%
능 262
 
3.7%
테 229
 
3.2%
리 215
 
3.0%
화 215
 
3.0%
Other values (134) 3885
54.2%
ASCII
ValueCountFrequency (%)
433
16.8%
( 237
 
9.2%
) 237
 
9.2%
E 189
 
7.3%
R 188
 
7.3%
A 143
 
5.5%
C 132
 
5.1%
T 115
 
4.5%
L 114
 
4.4%
S 95
 
3.7%
Other values (39) 698
27.0%

모델명
Text

Distinct165
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2023-12-12T08:22:28.582431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.781427
Min length3

Characters and Unicode

Total characters7754
Distinct characters59
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

Unique83 ?
Unique (%)9.4%

Sample

1st rowDANEO 400
2nd rowFLUKE-190-240S
3rd rowFLUKE-381
4th rowMSO4104
5th rowFLUKE435
ValueCountFrequency (%)
dassi-i9000 121
 
13.0%
ibex-3000ultra 63
 
6.8%
870-k 53
 
5.7%
ibex-2000pro 49
 
5.3%
cl220 32
 
3.4%
ibex-1000pro 30
 
3.2%
ibex-1000p 29
 
3.1%
fp-opm 23
 
2.5%
cw240-f 21
 
2.3%
fluke-376 19
 
2.0%
Other values (162) 492
52.8%
2023-12-12T08:22:29.024685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1371
17.7%
- 638
 
8.2%
I 482
 
6.2%
S 383
 
4.9%
E 343
 
4.4%
P 299
 
3.9%
A 295
 
3.8%
3 257
 
3.3%
L 256
 
3.3%
O 243
 
3.1%
Other values (49) 3187
41.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4208
54.3%
Decimal Number 2767
35.7%
Dash Punctuation 638
 
8.2%
Space Separator 50
 
0.6%
Other Punctuation 32
 
0.4%
Lowercase Letter 32
 
0.4%
Other Letter 11
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 482
 
11.5%
S 383
 
9.1%
E 343
 
8.2%
P 299
 
7.1%
A 295
 
7.0%
L 256
 
6.1%
O 243
 
5.8%
B 220
 
5.2%
X 215
 
5.1%
R 200
 
4.8%
Other values (16) 1272
30.2%
Decimal Number
ValueCountFrequency (%)
0 1371
49.5%
3 257
 
9.3%
2 223
 
8.1%
1 153
 
5.5%
9 148
 
5.3%
7 140
 
5.1%
8 139
 
5.0%
5 118
 
4.3%
4 112
 
4.0%
6 106
 
3.8%
Other Letter
ValueCountFrequency (%)
거 2
18.2%
리 2
18.2%
장 2
18.2%
대 1
9.1%
용 1
9.1%
광 1
9.1%
원 1
9.1%
휴 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
t 11
34.4%
e 6
18.8%
s 6
18.8%
o 6
18.8%
i 1
 
3.1%
r 1
 
3.1%
d 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 28
87.5%
, 3
 
9.4%
* 1
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 638
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4240
54.7%
Common 3503
45.2%
Hangul 11
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 482
 
11.4%
S 383
 
9.0%
E 343
 
8.1%
P 299
 
7.1%
A 295
 
7.0%
L 256
 
6.0%
O 243
 
5.7%
B 220
 
5.2%
X 215
 
5.1%
R 200
 
4.7%
Other values (23) 1304
30.8%
Common
ValueCountFrequency (%)
0 1371
39.1%
- 638
18.2%
3 257
 
7.3%
2 223
 
6.4%
1 153
 
4.4%
9 148
 
4.2%
7 140
 
4.0%
8 139
 
4.0%
5 118
 
3.4%
4 112
 
3.2%
Other values (8) 204
 
5.8%
Hangul
ValueCountFrequency (%)
거 2
18.2%
리 2
18.2%
장 2
18.2%
대 1
9.1%
용 1
9.1%
광 1
9.1%
원 1
9.1%
휴 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7743
99.9%
Hangul 11
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1371
17.7%
- 638
 
8.2%
I 482
 
6.2%
S 383
 
4.9%
E 343
 
4.4%
P 299
 
3.9%
A 295
 
3.8%
3 257
 
3.3%
L 256
 
3.3%
O 243
 
3.1%
Other values (41) 3176
41.0%
Hangul
ValueCountFrequency (%)
거 2
18.2%
리 2
18.2%
장 2
18.2%
대 1
9.1%
용 1
9.1%
광 1
9.1%
원 1
9.1%
휴 1
9.1%

도입년월
Date

Distinct115
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2000-03-03 00:00:00
Maximum2022-01-01 00:00:00
2023-12-12T08:22:29.193175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:22:29.393497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T08:22:26.903392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T08:22:27.273989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:22:27.354884image/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

순번장비명모델명도입년월
01IEC61850 전송패킷 성능 측정용 장치DANEO 4002021-05-18
12오실로스코프FLUKE-190-240S2011-11-24
23디지털크램프메터FLUKE-3812011-11-24
34오실로스코프MSO41042009-08-20
45전력손실시험장치FLUKE4352009-05-08
56멀티테스터(고성능)87-V2008-12-26
67휴대용 스코프메타199C(휴대용)2008-12-26
78광섬유고장점측정기(장거리용)MTS80002006-12-28
89절연저항측정기MY10-042004-06-07
910전압/전류 발생기CMC256-62022-01-01
순번장비명모델명도입년월
873874보호계전기시험장치CMC256PLUS2018-06-01
874875보호계전기시험장치CMC256PLUS2018-06-01
875876보호계전기시험장치CMC256PLUS2018-06-01
876877AC POWER SOURCENF-1000R2021-09-15
877878TEMP HUMIDITY CHAMBERJ-RHC2-1500T2015-11-06
878879TRUE RMS CLAMP METER3762011-10-17
879880OPTICAL POWER METERFP-OPM2017-12-19
880881광섬유 고장점 측정기(장거리용)FTB-200/7600E2008-12-11
881882접지저항측정기CA64122003-11-23
882883신호분석기SM-3002007-12-27