Overview

Dataset statistics

Number of variables5
Number of observations366
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory42.4 B

Variable types

Numeric2
Categorical3

Dataset

Description충청남도 천안시 일반화물운송업현황 데이터입니다. 천안시 일반화물운송업현황(면허종류, 차량대수, 소재지 등)의 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=40&beforeMenuCd=DOM_000000201001001000&publicdatapk=15115409

Alerts

면허종류 has constant value ""Constant
현재 운영여부 has constant value ""Constant
순번 is highly overall correlated with 소재지High correlation
소재지 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:06:01.910362
Analysis finished2024-01-09 20:06:02.804112
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.5
Minimum1
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-10T05:06:02.915954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.25
Q192.25
median183.5
Q3274.75
95-th percentile347.75
Maximum366
Range365
Interquartile range (IQR)182.5

Descriptive statistics

Standard deviation105.79934
Coefficient of variation (CV)0.57656315
Kurtosis-1.2
Mean183.5
Median Absolute Deviation (MAD)91.5
Skewness0
Sum67161
Variance11193.5
MonotonicityStrictly increasing
2024-01-10T05:06:03.074343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
253 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
Other values (356) 356
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
일반화물
366 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물 366
100.0%

Length

2024-01-10T05:06:03.249047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:06:03.361338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 366
100.0%

차량대수
Real number (ℝ)

Distinct39
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7622951
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-01-10T05:06:03.496646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile23.5
Maximum137
Range136
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.555357
Coefficient of variation (CV)2.5259652
Kurtosis38.556697
Mean5.7622951
Median Absolute Deviation (MAD)0
Skewness5.6534519
Sum2109
Variance211.85841
MonotonicityNot monotonic
2024-01-10T05:06:03.671458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 193
52.7%
2 64
 
17.5%
3 25
 
6.8%
6 12
 
3.3%
4 11
 
3.0%
10 6
 
1.6%
18 6
 
1.6%
5 5
 
1.4%
12 4
 
1.1%
20 3
 
0.8%
Other values (29) 37
 
10.1%
ValueCountFrequency (%)
1 193
52.7%
2 64
 
17.5%
3 25
 
6.8%
4 11
 
3.0%
5 5
 
1.4%
6 12
 
3.3%
7 3
 
0.8%
8 1
 
0.3%
9 3
 
0.8%
10 6
 
1.6%
ValueCountFrequency (%)
137 1
0.3%
128 1
0.3%
90 1
0.3%
84 1
0.3%
73 1
0.3%
65 1
0.3%
60 1
0.3%
56 1
0.3%
55 1
0.3%
50 1
0.3%

소재지
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
충청남도 천안시 동남구
183 
충청남도 천안시 서북구
183 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 천안시 동남구
2nd row충청남도 천안시 동남구
3rd row충청남도 천안시 동남구
4th row충청남도 천안시 동남구
5th row충청남도 천안시 동남구

Common Values

ValueCountFrequency (%)
충청남도 천안시 동남구 183
50.0%
충청남도 천안시 서북구 183
50.0%

Length

2024-01-10T05:06:03.848139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:06:03.969470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 366
33.3%
천안시 366
33.3%
동남구 183
16.7%
서북구 183
16.7%

현재 운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
여
366 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여 366
100.0%

Length

2024-01-10T05:06:04.103386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:06:04.212808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 366
100.0%

Interactions

2024-01-10T05:06:02.314390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:06:02.051636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:06:02.488665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:06:02.173520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:06:04.287622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번차량대수소재지
순번1.0000.0881.000
차량대수0.0881.0000.135
소재지1.0000.1351.000
2024-01-10T05:06:04.398634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번차량대수소재지
순번1.000-0.1060.989
차량대수-0.1061.0000.100
소재지0.9890.1001.000

Missing values

2024-01-10T05:06:02.634938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:06:02.752985image/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

순번면허종류차량대수소재지현재 운영여부
01일반화물1충청남도 천안시 동남구여
12일반화물11충청남도 천안시 동남구여
23일반화물5충청남도 천안시 동남구여
34일반화물6충청남도 천안시 동남구여
45일반화물28충청남도 천안시 동남구여
56일반화물6충청남도 천안시 동남구여
67일반화물2충청남도 천안시 동남구여
78일반화물4충청남도 천안시 동남구여
89일반화물2충청남도 천안시 동남구여
910일반화물3충청남도 천안시 동남구여
순번면허종류차량대수소재지현재 운영여부
356357일반화물2충청남도 천안시 서북구여
357358일반화물1충청남도 천안시 서북구여
358359일반화물4충청남도 천안시 서북구여
359360일반화물1충청남도 천안시 서북구여
360361일반화물7충청남도 천안시 서북구여
361362일반화물4충청남도 천안시 서북구여
362363일반화물3충청남도 천안시 서북구여
363364일반화물1충청남도 천안시 서북구여
364365일반화물1충청남도 천안시 서북구여
365366일반화물1충청남도 천안시 서북구여