Overview

Dataset statistics

Number of variables3
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory29.2 B

Variable types

Categorical1
Numeric2

Dataset

Description(주)에스알 연도별 월별 전기권에 대한 이용이원에 대한 현황정보로 연도별로 정기권이용 인원 주ㅡㅇ감 현황을 분석할 수 있으며 연도별 월 정기권 인원 현황과 월별 정기권 인원수 추이분석에 활용할 수 있다.
Author(주)에스알
URLhttps://www.data.go.kr/data/15124113/fileData.do

Alerts

정기권 이용인원 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:22:29.503724
Analysis finished2023-12-12 14:22:30.551168
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2018
12 
2019
12 
2020
12 
2021
12 
2022
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 12
20.0%
2019 12
20.0%
2020 12
20.0%
2021 12
20.0%
2022 12
20.0%

Length

2023-12-12T23:22:30.614874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:22:30.726201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 12
20.0%
2019 12
20.0%
2020 12
20.0%
2021 12
20.0%
2022 12
20.0%

월
Real number (ℝ)

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:22:30.836460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6.5
Q39.25
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4811843
Coefficient of variation (CV)0.53556681
Kurtosis-1.2175447
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum390
Variance12.118644
MonotonicityNot monotonic
2023-12-12T23:22:30.939775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 5
8.3%
2 5
8.3%
3 5
8.3%
4 5
8.3%
5 5
8.3%
6 5
8.3%
7 5
8.3%
8 5
8.3%
9 5
8.3%
10 5
8.3%
Other values (2) 10
16.7%
ValueCountFrequency (%)
1 5
8.3%
2 5
8.3%
3 5
8.3%
4 5
8.3%
5 5
8.3%
6 5
8.3%
7 5
8.3%
8 5
8.3%
9 5
8.3%
10 5
8.3%
ValueCountFrequency (%)
12 5
8.3%
11 5
8.3%
10 5
8.3%
9 5
8.3%
8 5
8.3%
7 5
8.3%
6 5
8.3%
5 5
8.3%
4 5
8.3%
3 5
8.3%

정기권 이용인원
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56345.617
Minimum34782
Maximum72078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:22:31.077680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34782
5-th percentile46551.7
Q150637.5
median56610.5
Q361906.25
95-th percentile67336.85
Maximum72078
Range37296
Interquartile range (IQR)11268.75

Descriptive statistics

Standard deviation7466.0534
Coefficient of variation (CV)0.1325046
Kurtosis-0.09279688
Mean56345.617
Median Absolute Deviation (MAD)5859
Skewness-0.26664591
Sum3380737
Variance55741953
MonotonicityNot monotonic
2023-12-12T23:22:31.224350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50612 1
 
1.7%
47720 1
 
1.7%
47910 1
 
1.7%
54999 1
 
1.7%
52985 1
 
1.7%
48851 1
 
1.7%
44969 1
 
1.7%
58934 1
 
1.7%
59310 1
 
1.7%
52182 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
34782 1
1.7%
40999 1
1.7%
44969 1
1.7%
46635 1
1.7%
47720 1
1.7%
47843 1
1.7%
47910 1
1.7%
48013 1
1.7%
48680 1
1.7%
48851 1
1.7%
ValueCountFrequency (%)
72078 1
1.7%
68752 1
1.7%
67695 1
1.7%
67318 1
1.7%
66695 1
1.7%
66001 1
1.7%
65616 1
1.7%
64531 1
1.7%
64289 1
1.7%
64091 1
1.7%

Interactions

2023-12-12T23:22:30.157157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:29.959313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:30.258765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:30.050449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:22:31.320075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월정기권 이용인원
연도1.0000.0000.537
월0.0001.0000.000
정기권 이용인원0.5370.0001.000
2023-12-12T23:22:31.451390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월정기권 이용인원연도
월1.0000.2770.000
정기권 이용인원0.2771.0000.331
연도0.0000.3311.000

Missing values

2023-12-12T23:22:30.420981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:22:30.519207image/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

연도월정기권 이용인원
02018150612
12018240999
22018363528
32018466001
42018567695
52018658172
62018761925
72018861573
82018950646
920181067318
연도월정기권 이용인원
502022360922
512022464531
522022566695
532022661900
542022761636
552022862709
562022961475
5720221060004
5820221168752
5920221264289