Overview

Dataset statistics

Number of variables5
Number of observations2992
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory119.9 KiB
Average record size in memory41.0 B

Variable types

Categorical3
DateTime1
Numeric1

Dataset

Description한국서부발전의 사업소별 네트워크 사용량을 제공합니다. 사업소는 태안발전본부, 평택발전본부, 서인천발전본부, 군산발전본부 입니다. 제공데이터는 사업소별, 일자별 네트워크 IN/OUT 정보입니다. 트래픽 데이터는 bps 단위 입니다.
URLhttps://www.data.go.kr/data/15113978/fileData.do

Alerts

단위 is highly overall correlated with 사업소High correlation
사업소 is highly overall correlated with 단위High correlation
값 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:18:25.225801
Analysis finished2023-12-12 06:18:25.705441
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업소
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
태안
748 
평택
748 
서인천
748 
군산
748 

Length

Max length3
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태안 748
25.0%
평택 748
25.0%
서인천 748
25.0%
군산 748
25.0%

Length

2023-12-12T15:18:25.779853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:18:25.900420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태안 748
25.0%
평택 748
25.0%
서인천 748
25.0%
군산 748
25.0%

입출력
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
IN
1496 
OUT
1496 

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIN
2nd rowOUT
3rd rowIN
4th rowOUT
5th rowIN

Common Values

ValueCountFrequency (%)
IN 1496
50.0%
OUT 1496
50.0%

Length

2023-12-12T15:18:26.032303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:18:26.144178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
in 1496
50.0%
out 1496
50.0%

시간
Date

Distinct374
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
Minimum2022-04-22 00:00:00
Maximum2023-04-30 00:00:00
2023-12-12T15:18:26.248996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:18:26.384696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

값
Real number (ℝ)

UNIQUE 

Distinct2992
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13089444
Minimum128233.64
Maximum1.9225744 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.4 KiB
2023-12-12T15:18:26.518481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128233.64
5-th percentile436700.98
Q11346093.7
median4159694.5
Q313028737
95-th percentile56962981
Maximum1.9225744 × 108
Range1.921292 × 108
Interquartile range (IQR)11682643

Descriptive statistics

Standard deviation20275308
Coefficient of variation (CV)1.5489816
Kurtosis8.7645876
Mean13089444
Median Absolute Deviation (MAD)3439777.2
Skewness2.5916348
Sum3.9163617 × 1010
Variance4.1108812 × 1014
MonotonicityNot monotonic
2023-12-12T15:18:26.661516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11168913.6 1
 
< 0.1%
5155532.09 1
 
< 0.1%
325119.18 1
 
< 0.1%
643442.59 1
 
< 0.1%
1672544.16 1
 
< 0.1%
3766927.3 1
 
< 0.1%
5997835.99 1
 
< 0.1%
3240398.76 1
 
< 0.1%
3573056.01 1
 
< 0.1%
5051033.87 1
 
< 0.1%
Other values (2982) 2982
99.7%
ValueCountFrequency (%)
128233.64 1
< 0.1%
130004.47 1
< 0.1%
130943.15 1
< 0.1%
135416.68 1
< 0.1%
140598.4 1
< 0.1%
141123.68 1
< 0.1%
142258.29 1
< 0.1%
142861.19 1
< 0.1%
144674.51 1
< 0.1%
146296.39 1
< 0.1%
ValueCountFrequency (%)
192257436.2 1
< 0.1%
167175459.4 1
< 0.1%
148938481.0 1
< 0.1%
143265255.6 1
< 0.1%
134898098.5 1
< 0.1%
126578710.2 1
< 0.1%
126574540.5 1
< 0.1%
124281830.5 1
< 0.1%
120416953.1 1
< 0.1%
119189389.5 1
< 0.1%

단위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.5 KiB
bps
2244 
bbs
748 

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 2244
75.0%
bbs 748
 
25.0%

Length

2023-12-12T15:18:26.812461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:18:26.894073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bps 2244
75.0%
bbs 748
 
25.0%

Interactions

2023-12-12T15:18:25.401622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:18:26.953974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업소입출력값단위
사업소1.0000.0000.6721.000
입출력0.0001.0000.2580.000
값0.6720.2581.0000.359
단위1.0000.0000.3591.000
2023-12-12T15:18:27.041124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입출력단위사업소
입출력1.0000.0000.000
단위0.0001.0001.000
사업소0.0001.0001.000
2023-12-12T15:18:27.422378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
값사업소입출력단위
값1.0000.4720.1980.275
사업소0.4721.0000.0001.000
입출력0.1980.0001.0000.000
단위0.2751.0000.0001.000

Missing values

2023-12-12T15:18:25.538228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:18:25.657299image/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

사업소입출력시간값단위
0태안IN2022-04-22 00:00:0011168913.6bps
1태안OUT2022-04-22 00:00:0018358304.49bps
2태안IN2022-04-23 00:00:0041526216.37bps
3태안OUT2022-04-23 00:00:0011143546.3bps
4태안IN2022-04-24 00:00:001466209.56bps
5태안OUT2022-04-24 00:00:003645851.29bps
6태안IN2022-04-25 00:00:006798385.46bps
7태안OUT2022-04-25 00:00:0015724217.24bps
8태안IN2022-04-26 00:00:007613818.39bps
9태안OUT2022-04-26 00:00:0027107234.64bps
사업소입출력시간값단위
2982군산IN2023-04-26 00:00:001886183.52bps
2983군산OUT2023-04-26 00:00:003087579.35bps
2984군산IN2023-04-27 00:00:001917808.8bps
2985군산OUT2023-04-27 00:00:002017960.35bps
2986군산IN2023-04-28 00:00:001784887.1bps
2987군산OUT2023-04-28 00:00:005238487.36bps
2988군산IN2023-04-29 00:00:002992184.86bps
2989군산OUT2023-04-29 00:00:00336021.18bps
2990군산IN2023-04-30 00:00:00382087.18bps
2991군산OUT2023-04-30 00:00:00256986.93bps