Overview

Dataset statistics

Number of variables6
Number of observations3972
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory186.3 KiB
Average record size in memory48.0 B

Variable types

Categorical4
DateTime1
Text1

Dataset

Description한국동서발전의 네트워크 트래픽 현황 정보입니다. 네트워크 트래픽 현황은 망 구분, 사업소, 이벤트 별칭, 시간, 값, 단위의 항목을 나타냅니다.
URLhttps://www.data.go.kr/data/15065327/fileData.do

Alerts

단위 has constant value ""Constant

Reproduction

Analysis started2023-12-12 04:20:23.045312
Analysis finished2023-12-12 04:20:23.515262
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

망구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
인터넷망
2172 
업무망
1800 

Length

Max length4
Median length4
Mean length3.5468278
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷망 2172
54.7%
업무망 1800
45.3%

Length

2023-12-12T13:20:23.582290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:20:23.683996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷망 2172
54.7%
업무망 1800
45.3%

사업소
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
본사
662 
당진
662 
울산
662 
동해
662 
일산
662 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본사 662
16.7%
당진 662
16.7%
울산 662
16.7%
동해 662
16.7%
일산 662
16.7%
호남 662
16.7%

Length

2023-12-12T13:20:23.793791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:20:23.910245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본사 662
16.7%
당진 662
16.7%
울산 662
16.7%
동해 662
16.7%
일산 662
16.7%
호남 662
16.7%

이벤트 별칭
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
입력 사용량
1986 
출력 사용량
1986 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입력 사용량
2nd row출력 사용량
3rd row입력 사용량
4th row출력 사용량
5th row입력 사용량

Common Values

ValueCountFrequency (%)
입력 사용량 1986
50.0%
출력 사용량 1986
50.0%

Length

2023-12-12T13:20:24.047376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:20:24.187578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용량 3972
50.0%
입력 1986
25.0%
출력 1986
25.0%

시간
Date

Distinct181
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
Minimum2023-01-18 00:00:00
Maximum2023-07-17 00:00:00
2023-12-12T13:20:24.691673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:20:24.923470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

값
Text

Distinct2994
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2023-12-12T13:20:25.433199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.8471803
Min length1

Characters and Unicode

Total characters27197
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2392 ?
Unique (%)60.2%

Sample

1st row4.17 M
2nd row56.58 K
3rd row8.40 M
4th row205.56 K
5th row6.60 M
ValueCountFrequency (%)
m 2648
34.1%
k 1136
 
14.6%
1.85 12
 
0.2%
1.76 8
 
0.1%
1.37 8
 
0.1%
1.71 8
 
0.1%
1.88 8
 
0.1%
1.02 7
 
0.1%
1.80 7
 
0.1%
1.81 7
 
0.1%
Other values (2899) 3907
50.4%
2023-12-12T13:20:26.077809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3970
14.6%
3784
13.9%
1 2682
9.9%
M 2648
9.7%
2 1825
 
6.7%
3 1673
 
6.2%
4 1601
 
5.9%
5 1417
 
5.2%
6 1385
 
5.1%
9 1352
 
5.0%
Other values (4) 4860
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15659
57.6%
Other Punctuation 3970
 
14.6%
Space Separator 3784
 
13.9%
Uppercase Letter 3784
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2682
17.1%
2 1825
11.7%
3 1673
10.7%
4 1601
10.2%
5 1417
9.0%
6 1385
8.8%
9 1352
8.6%
7 1247
8.0%
0 1244
7.9%
8 1233
7.9%
Uppercase Letter
ValueCountFrequency (%)
M 2648
70.0%
K 1136
30.0%
Other Punctuation
ValueCountFrequency (%)
. 3970
100.0%
Space Separator
ValueCountFrequency (%)
3784
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23413
86.1%
Latin 3784
 
13.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3970
17.0%
3784
16.2%
1 2682
11.5%
2 1825
7.8%
3 1673
7.1%
4 1601
6.8%
5 1417
 
6.1%
6 1385
 
5.9%
9 1352
 
5.8%
7 1247
 
5.3%
Other values (2) 2477
10.6%
Latin
ValueCountFrequency (%)
M 2648
70.0%
K 1136
30.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3970
14.6%
3784
13.9%
1 2682
9.9%
M 2648
9.7%
2 1825
 
6.7%
3 1673
 
6.2%
4 1601
 
5.9%
5 1417
 
5.2%
6 1385
 
5.1%
9 1352
 
5.0%
Other values (4) 4860
17.9%

단위
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
bps
3972 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
bps 3972
100.0%

Length

2023-12-12T13:20:26.243478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:20:26.376450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bps 3972
100.0%

Correlations

2023-12-12T13:20:26.447965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
망구분사업소이벤트 별칭
망구분1.0000.0000.000
사업소0.0001.0000.000
이벤트 별칭0.0000.0001.000
2023-12-12T13:20:26.560652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업소이벤트 별칭망구분
사업소1.0000.0000.000
이벤트 별칭0.0001.0000.000
망구분0.0000.0001.000
2023-12-12T13:20:26.670954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
망구분사업소이벤트 별칭
망구분1.0000.0000.000
사업소0.0001.0000.000
이벤트 별칭0.0000.0001.000

Missing values

2023-12-12T13:20:23.351639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:20:23.467988image/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

망구분사업소이벤트 별칭시간값단위
0업무망본사입력 사용량2023-01-18 00:00:004.17 Mbps
1업무망본사출력 사용량2023-01-18 00:00:0056.58 Kbps
2업무망본사입력 사용량2023-01-19 00:00:008.40 Mbps
3업무망본사출력 사용량2023-01-19 00:00:00205.56 Kbps
4업무망본사입력 사용량2023-01-20 00:00:006.60 Mbps
5업무망본사출력 사용량2023-01-20 00:00:0021.94 Kbps
6업무망본사입력 사용량2023-01-21 00:00:003.71 Mbps
7업무망본사출력 사용량2023-01-21 00:00:001.85 Kbps
8업무망본사입력 사용량2023-01-22 00:00:003.48 Mbps
9업무망본사출력 사용량2023-01-22 00:00:004.00 Kbps
망구분사업소이벤트 별칭시간값단위
3962인터넷망호남입력 사용량2023-07-13 00:00:00597.52 Kbps
3963인터넷망호남출력 사용량2023-07-13 00:00:002.11 Mbps
3964인터넷망호남입력 사용량2023-07-14 00:00:00378.58 Kbps
3965인터넷망호남출력 사용량2023-07-14 00:00:001.21 Mbps
3966인터넷망호남입력 사용량2023-07-15 00:00:00152.18 Kbps
3967인터넷망호남출력 사용량2023-07-15 00:00:007.40 Kbps
3968인터넷망호남입력 사용량2023-07-16 00:00:00151.38 Kbps
3969인터넷망호남출력 사용량2023-07-16 00:00:008.52 Kbps
3970인터넷망호남입력 사용량2023-07-17 00:00:00662.39 Kbps
3971인터넷망호남출력 사용량2023-07-17 00:00:002.37 Mbps