Overview

Dataset statistics

Number of variables8
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory70.4 B

Variable types

Categorical5
DateTime1
Numeric2

Alerts

거리요금기준거리당요금(원) has constant value ""Constant
시간요금기준시간당요금(원) has constant value ""Constant
거리요금기준거리(m) is highly overall correlated with 시간요금기준시간(초) and 2 other fieldsHigh correlation
시간요금기준시간(초) is highly overall correlated with 거리요금기준거리(m) and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 조정요금유형High correlation
조정요금유형 is highly overall correlated with 거리요금기준거리(m) and 2 other fieldsHigh correlation
기본요금 is highly overall correlated with 거리요금기준거리(m) and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-10 22:31:45.249697
Analysis finished2023-12-10 22:31:46.076739
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
양평군
 
3
여주시
 
3
동두천시
 
3
가평군
 
3
과천시
 
3
Other values (26)
78 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양평군
2nd row여주시
3rd row동두천시
4th row가평군
5th row과천시

Common Values

ValueCountFrequency (%)
양평군 3
 
3.2%
여주시 3
 
3.2%
동두천시 3
 
3.2%
가평군 3
 
3.2%
과천시 3
 
3.2%
연천군 3
 
3.2%
수원시 3
 
3.2%
고양시 3
 
3.2%
용인시 3
 
3.2%
성남시 3
 
3.2%
Other values (21) 63
67.7%

Length

2023-12-11T07:31:46.139207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양평군 3
 
3.2%
시흥시 3
 
3.2%
포천시 3
 
3.2%
안성시 3
 
3.2%
구리시 3
 
3.2%
이천시 3
 
3.2%
양주시 3
 
3.2%
오산시 3
 
3.2%
하남시 3
 
3.2%
군포시 3
 
3.2%
Other values (21) 63
67.7%

조정요금유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
표준형
45 
가형
16 
나형
14 
도농 나형
8 
도농 가형
7 

Length

Max length5
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도농 나형
2nd row도농 나형
3rd row도농 가형
4th row도농 나형
5th row표준형

Common Values

ValueCountFrequency (%)
표준형 45
48.4%
가형 16
 
17.2%
나형 14
 
15.1%
도농 나형 8
 
8.6%
도농 가형 7
 
7.5%
서울시 3
 
3.2%

Length

2023-12-11T07:31:46.247403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:46.345704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표준형 45
41.7%
가형 23
21.3%
나형 22
20.4%
도농 15
 
13.9%
서울시 3
 
2.8%

요금체계적응일자
Date

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2013-10-12 00:00:00
Maximum2023-07-01 00:00:00
2023-12-11T07:31:46.439116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:46.524704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

기본요금
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
3000
31 
4800
31 
3800
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000
2nd row3000
3rd row3000
4th row3000
5th row3000

Common Values

ValueCountFrequency (%)
3000 31
33.3%
4800 31
33.3%
3800 31
33.3%

Length

2023-12-11T07:31:46.628008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:46.717439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000 31
33.3%
4800 31
33.3%
3800 31
33.3%

거리요금기준거리(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.53763
Minimum83
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-11T07:31:47.035109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile83
Q1104
median131
Q3132
95-th percentile144
Maximum144
Range61
Interquartile range (IQR)28

Descriptive statistics

Standard deviation22.404657
Coefficient of variation (CV)0.19225255
Kurtosis-1.3894314
Mean116.53763
Median Absolute Deviation (MAD)13
Skewness-0.35105167
Sum10838
Variance501.96868
MonotonicityNot monotonic
2023-12-11T07:31:47.139444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
144 16
17.2%
131 16
17.2%
104 16
17.2%
132 16
17.2%
83 14
15.1%
85 8
8.6%
113 6
 
6.5%
142 1
 
1.1%
ValueCountFrequency (%)
83 14
15.1%
85 8
8.6%
104 16
17.2%
113 6
 
6.5%
131 16
17.2%
132 16
17.2%
142 1
 
1.1%
144 16
17.2%
ValueCountFrequency (%)
144 16
17.2%
142 1
 
1.1%
132 16
17.2%
131 16
17.2%
113 6
 
6.5%
104 16
17.2%
85 8
8.6%
83 14
15.1%

거리요금기준거리당요금(원)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
100
93 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 93
100.0%

Length

2023-12-11T07:31:47.236926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:47.319161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 93
100.0%

시간요금기준시간(초)
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.666667
Minimum20
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-11T07:31:47.384806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q125
median30
Q331
95-th percentile35
Maximum35
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1294828
Coefficient of variation (CV)0.18540299
Kurtosis-1.1948343
Mean27.666667
Median Absolute Deviation (MAD)5
Skewness-0.15464436
Sum2573
Variance26.311594
MonotonicityNot monotonic
2023-12-11T07:31:47.495862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
35 16
17.2%
30 16
17.2%
25 16
17.2%
31 16
17.2%
20 14
15.1%
21 8
8.6%
27 7
7.5%
ValueCountFrequency (%)
20 14
15.1%
21 8
8.6%
25 16
17.2%
27 7
7.5%
30 16
17.2%
31 16
17.2%
35 16
17.2%
ValueCountFrequency (%)
35 16
17.2%
31 16
17.2%
30 16
17.2%
27 7
7.5%
25 16
17.2%
21 8
8.6%
20 14
15.1%

시간요금기준시간당요금(원)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
100
93 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 93
100.0%

Length

2023-12-11T07:31:47.608780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:47.682776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 93
100.0%

Interactions

2023-12-11T07:31:45.680839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:45.514882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:45.764912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:45.599597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:31:47.743712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명조정요금유형요금체계적응일자기본요금거리요금기준거리(m)시간요금기준시간(초)
시군명1.0000.8850.0000.0000.6150.615
조정요금유형0.8851.0000.6410.7670.9690.974
요금체계적응일자0.0000.6411.0001.0000.6770.677
기본요금0.0000.7671.0001.0000.9690.969
거리요금기준거리(m)0.6150.9690.6770.9691.0001.000
시간요금기준시간(초)0.6150.9740.6770.9691.0001.000
2023-12-11T07:31:47.849615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조정요금유형시군명기본요금
조정요금유형1.0000.5380.438
시군명0.5381.0000.000
기본요금0.4380.0001.000
2023-12-11T07:31:47.933735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거리요금기준거리(m)시간요금기준시간(초)시군명조정요금유형기본요금
거리요금기준거리(m)1.0000.9850.2680.7380.770
시간요금기준시간(초)0.9851.0000.2680.7600.770
시군명0.2680.2681.0000.5380.000
조정요금유형0.7380.7600.5381.0000.438
기본요금0.7700.7700.0000.4381.000

Missing values

2023-12-11T07:31:45.911094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:31:46.031511image/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

시군명조정요금유형요금체계적응일자기본요금거리요금기준거리(m)거리요금기준거리당요금(원)시간요금기준시간(초)시간요금기준시간당요금(원)
0양평군도농 나형2013-10-1930008510021100
1여주시도농 나형2013-10-1930008510021100
2동두천시도농 가형2013-10-19300014410027100
3가평군도농 나형2013-10-1930008510021100
4과천시표준형2013-10-19300014410035100
5연천군도농 나형2013-10-1930008510021100
6수원시표준형2023-07-01480013110030100
7고양시표준형2023-07-01480013110030100
8용인시가형2023-07-01480010410025100
9성남시표준형2023-07-01480013110030100
시군명조정요금유형요금체계적응일자기본요금거리요금기준거리(m)거리요금기준거리당요금(원)시간요금기준시간(초)시간요금기준시간당요금(원)
83광명시서울시2013-10-12300014210035100
84군포시표준형2013-10-19300014410035100
85하남시도농 가형2013-10-19300011310027100
86오산시도농 가형2013-10-19300011310027100
87양주시도농 나형2013-10-1930008510021100
88이천시도농 나형2013-10-1930008510021100
89구리시표준형2013-10-19300014410035100
90안성시도농 나형2013-10-1930008510021100
91포천시도농 나형2013-10-1930008510021100
92의왕시표준형2013-10-19300014410035100