Overview

Dataset statistics

Number of variables21
Number of observations3624
Missing cells3088
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.2 KiB
Average record size in memory182.0 B

Variable types

Numeric14
Categorical6
Text1

Dataset

Description다음 자료는 경상남도 밀양시의 도로구간 현황자료(해당 행정읍면동, 차도구간면적, 차도구간연장 왕복차로수 등)를 나타낸 데이터입니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093577

Alerts

지형지물부호 is highly imbalanced (99.6%)Imbalance
관리기관 is highly imbalanced (99.6%)Imbalance
차도재질 is highly imbalanced (75.7%)Imbalance
도로경계석-좌재질 is highly imbalanced (61.7%)Imbalance
공사번호 has 3088 (85.2%) missing valuesMissing
순번 has unique valuesUnique
도로법면연장 has 655 (18.1%) zerosZeros
도로법면면적 has 753 (20.8%) zerosZeros
노견-우연장 has 3438 (94.9%) zerosZeros
노견-우면적 has 3436 (94.8%) zerosZeros
노견-우폭 has 3436 (94.8%) zerosZeros
노견-좌연장 has 3439 (94.9%) zerosZeros
노견-좌면적 has 3437 (94.8%) zerosZeros
노견-좌폭 has 3437 (94.8%) zerosZeros
도로경계석-좌연장 has 2726 (75.2%) zerosZeros
도로경계석-우연장 has 2762 (76.2%) zerosZeros

Reproduction

Analysis started2023-12-10 23:17:45.563155
Analysis finished2023-12-10 23:17:45.971487
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3624
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1811.5
Minimum0
Maximum3623
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:46.085394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile181.15
Q1905.75
median1811.5
Q32717.25
95-th percentile3441.85
Maximum3623
Range3623
Interquartile range (IQR)1811.5

Descriptive statistics

Standard deviation1046.303
Coefficient of variation (CV)0.5775893
Kurtosis-1.2
Mean1811.5
Median Absolute Deviation (MAD)906
Skewness0
Sum6564876
Variance1094750
MonotonicityStrictly increasing
2023-12-11T08:17:46.247512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
2435 1
 
< 0.1%
2409 1
 
< 0.1%
2410 1
 
< 0.1%
2411 1
 
< 0.1%
2412 1
 
< 0.1%
2413 1
 
< 0.1%
2414 1
 
< 0.1%
2415 1
 
< 0.1%
2416 1
 
< 0.1%
Other values (3614) 3614
99.7%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
3623 1
< 0.1%
3622 1
< 0.1%
3621 1
< 0.1%
3620 1
< 0.1%
3619 1
< 0.1%
3618 1
< 0.1%
3617 1
< 0.1%
3616 1
< 0.1%
3615 1
< 0.1%
3614 1
< 0.1%

지형지물부호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
차도면
3623 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0002759
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
차도면 3623
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T08:17:46.369230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:46.490624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차도면 3623
> 99.9%
na 1
 
< 0.1%

행정읍/면/동
Categorical

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
내이동
645 
하남읍
523 
삼문동
446 
삼랑진읍
383 
교동
347 
Other values (9)
1280 

Length

Max length4
Median length3
Mean length3.0102097
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
내이동 645
17.8%
하남읍 523
14.4%
삼문동 446
12.3%
삼랑진읍 383
10.6%
교동 347
9.6%
가곡동 277
7.6%
상남면 262
7.2%
부북면 246
 
6.8%
무안면 240
 
6.6%
내일동 239
 
6.6%
Other values (4) 16
 
0.4%

Length

2023-12-11T08:17:46.600421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내이동 645
17.8%
하남읍 523
14.4%
삼문동 446
12.3%
삼랑진읍 383
10.6%
교동 347
9.6%
가곡동 277
7.6%
상남면 262
7.2%
부북면 246
 
6.8%
무안면 240
 
6.6%
내일동 239
 
6.6%
Other values (4) 16
 
0.4%

관리기관
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
밀양시
3623 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0002759
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
밀양시 3623
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T08:17:46.721239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:46.813897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양시 3623
> 99.9%
na 1
 
< 0.1%

왕복차로수
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9519868
Minimum0
Maximum8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:46.897966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1002278
Coefficient of variation (CV)0.5636451
Kurtosis5.2624759
Mean1.9519868
Median Absolute Deviation (MAD)0
Skewness2.1155024
Sum7074
Variance1.2105012
MonotonicityNot monotonic
2023-12-11T08:17:47.010336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1998
55.1%
1 1224
33.8%
4 265
 
7.3%
6 122
 
3.4%
3 10
 
0.3%
8 4
 
0.1%
0 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1224
33.8%
2 1998
55.1%
3 10
 
0.3%
4 265
 
7.3%
6 122
 
3.4%
8 4
 
0.1%
ValueCountFrequency (%)
8 4
 
0.1%
6 122
 
3.4%
4 265
 
7.3%
3 10
 
0.3%
2 1998
55.1%
1 1224
33.8%
0 1
 
< 0.1%

공사번호
Text

MISSING 

Distinct82
Distinct (%)15.3%
Missing3088
Missing (%)85.2%
Memory size28.4 KiB
2023-12-11T08:17:47.329889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters5360
Distinct characters20
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

Unique10 ?
Unique (%)1.9%

Sample

1st rowRD20110010
2nd rowRD20110010
3rd rowRD20110010
4th rowRD20110010
5th rowRD20110001
ValueCountFrequency (%)
rd20120002 22
 
4.1%
2007111111 18
 
3.4%
2004000124 17
 
3.2%
2004000175 15
 
2.8%
rd20110010 15
 
2.8%
2004000204 15
 
2.8%
2004000230 15
 
2.8%
1998000180 14
 
2.6%
2003000145 13
 
2.4%
rd20110012 13
 
2.4%
Other values (72) 379
70.7%
2023-12-11T08:17:47.736624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2657
49.6%
2 779
 
14.5%
1 731
 
13.6%
4 208
 
3.9%
9 183
 
3.4%
D 137
 
2.6%
R 128
 
2.4%
3 127
 
2.4%
8 95
 
1.8%
6 79
 
1.5%
Other values (10) 236
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5006
93.4%
Uppercase Letter 350
 
6.5%
Space Separator 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2657
53.1%
2 779
 
15.6%
1 731
 
14.6%
4 208
 
4.2%
9 183
 
3.7%
3 127
 
2.5%
8 95
 
1.9%
6 79
 
1.6%
5 76
 
1.5%
7 71
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
D 137
39.1%
R 128
36.6%
N 72
20.6%
A 9
 
2.6%
C 1
 
0.3%
T 1
 
0.3%
U 1
 
0.3%
M 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5010
93.5%
Latin 350
 
6.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2657
53.0%
2 779
 
15.5%
1 731
 
14.6%
4 208
 
4.2%
9 183
 
3.7%
3 127
 
2.5%
8 95
 
1.9%
6 79
 
1.6%
5 76
 
1.5%
7 71
 
1.4%
Other values (2) 4
 
0.1%
Latin
ValueCountFrequency (%)
D 137
39.1%
R 128
36.6%
N 72
20.6%
A 9
 
2.6%
C 1
 
0.3%
T 1
 
0.3%
U 1
 
0.3%
M 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2657
49.6%
2 779
 
14.5%
1 731
 
13.6%
4 208
 
3.9%
9 183
 
3.4%
D 137
 
2.6%
R 128
 
2.4%
3 127
 
2.4%
8 95
 
1.8%
6 79
 
1.5%
Other values (10) 236
 
4.4%

도로법면연장
Real number (ℝ)

ZEROS 

Distinct315
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.543598
Minimum0
Maximum1272
Zeros655
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:47.876599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median22
Q361.25
95-th percentile189.85
Maximum1272
Range1272
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation87.526521
Coefficient of variation (CV)1.6981065
Kurtosis38.026209
Mean51.543598
Median Absolute Deviation (MAD)22
Skewness4.9057446
Sum186794
Variance7660.8918
MonotonicityNot monotonic
2023-12-11T08:17:48.044153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 655
 
18.1%
13 113
 
3.1%
15 86
 
2.4%
8 78
 
2.2%
11 73
 
2.0%
10 72
 
2.0%
6 70
 
1.9%
7 62
 
1.7%
12 60
 
1.7%
9 60
 
1.7%
Other values (305) 2295
63.3%
ValueCountFrequency (%)
0 655
18.1%
1 37
 
1.0%
2 50
 
1.4%
3 7
 
0.2%
4 29
 
0.8%
5 41
 
1.1%
6 70
 
1.9%
7 62
 
1.7%
8 78
 
2.2%
9 60
 
1.7%
ValueCountFrequency (%)
1272 1
< 0.1%
1168 1
< 0.1%
905 1
< 0.1%
873 1
< 0.1%
831 1
< 0.1%
820 1
< 0.1%
792 1
< 0.1%
755 1
< 0.1%
737 1
< 0.1%
729 1
< 0.1%

도로법면면적
Real number (ℝ)

ZEROS 

Distinct1125
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean469.9633
Minimum0
Maximum16226
Zeros753
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:48.197851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median207
Q3506
95-th percentile1718.05
Maximum16226
Range16226
Interquartile range (IQR)456

Descriptive statistics

Standard deviation928.00581
Coefficient of variation (CV)1.9746346
Kurtosis56.55658
Mean469.9633
Median Absolute Deviation (MAD)207
Skewness6.0595429
Sum1703147
Variance861194.78
MonotonicityNot monotonic
2023-12-11T08:17:48.387175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 753
 
20.8%
104 20
 
0.6%
78 14
 
0.4%
308 13
 
0.4%
79 11
 
0.3%
98 11
 
0.3%
71 11
 
0.3%
152 11
 
0.3%
121 11
 
0.3%
129 11
 
0.3%
Other values (1115) 2758
76.1%
ValueCountFrequency (%)
0 753
20.8%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
19 3
 
0.1%
20 6
 
0.2%
23 4
 
0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
16226 1
< 0.1%
12632 1
< 0.1%
10390 1
< 0.1%
9402 1
< 0.1%
9303 1
< 0.1%
8932 1
< 0.1%
8705 1
< 0.1%
8511 1
< 0.1%
8002 1
< 0.1%
7838 1
< 0.1%

차도구간연장
Real number (ℝ)

Distinct409
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.728477
Minimum0
Maximum8090
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:48.535935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median35
Q384.25
95-th percentile272.7
Maximum8090
Range8090
Interquartile range (IQR)70.25

Descriptive statistics

Standard deviation243.36364
Coefficient of variation (CV)2.8722769
Kurtosis451.95764
Mean84.728477
Median Absolute Deviation (MAD)24
Skewness17.403721
Sum307056
Variance59225.863
MonotonicityNot monotonic
2023-12-11T08:17:48.705107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 129
 
3.6%
15 106
 
2.9%
11 101
 
2.8%
6 94
 
2.6%
10 91
 
2.5%
8 89
 
2.5%
7 81
 
2.2%
12 80
 
2.2%
14 78
 
2.2%
9 74
 
2.0%
Other values (399) 2701
74.5%
ValueCountFrequency (%)
0 14
 
0.4%
1 2
 
0.1%
2 4
 
0.1%
3 12
 
0.3%
4 24
 
0.7%
5 57
1.6%
6 94
2.6%
7 81
2.2%
8 89
2.5%
9 74
2.0%
ValueCountFrequency (%)
8090 1
< 0.1%
5882 1
< 0.1%
3837 1
< 0.1%
3644 1
< 0.1%
2541 1
< 0.1%
2496 1
< 0.1%
2207 1
< 0.1%
2043 1
< 0.1%
1899 1
< 0.1%
1889 1
< 0.1%

차도구간면적
Real number (ℝ)

Distinct1336
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.54912
Minimum0
Maximum77347
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:48.861849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q1128.75
median305
Q3685.25
95-th percentile2646.25
Maximum77347
Range77347
Interquartile range (IQR)556.5

Descriptive statistics

Standard deviation2410.6518
Coefficient of variation (CV)3.1043134
Kurtosis469.87385
Mean776.54912
Median Absolute Deviation (MAD)211.5
Skewness18.058505
Sum2814214
Variance5811242.1
MonotonicityNot monotonic
2023-12-11T08:17:49.008630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104 21
 
0.6%
78 18
 
0.5%
80 16
 
0.4%
65 15
 
0.4%
121 14
 
0.4%
0 14
 
0.4%
129 14
 
0.4%
88 13
 
0.4%
94 13
 
0.4%
71 13
 
0.4%
Other values (1326) 3473
95.8%
ValueCountFrequency (%)
0 14
0.4%
8 1
 
< 0.1%
9 1
 
< 0.1%
14 1
 
< 0.1%
15 2
 
0.1%
16 1
 
< 0.1%
17 2
 
0.1%
18 1
 
< 0.1%
19 3
 
0.1%
20 6
0.2%
ValueCountFrequency (%)
77347 1
< 0.1%
66325 1
< 0.1%
34483 1
< 0.1%
34112 1
< 0.1%
33920 1
< 0.1%
27505 1
< 0.1%
21648 1
< 0.1%
16352 1
< 0.1%
16226 1
< 0.1%
15411 1
< 0.1%

차도재질
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
아스팔트콘크리트
2974 
콘크리트
629 
미분류
 
6
고압블록
 
5
AC
 
4
Other values (3)
 
6

Length

Max length8
Median length8
Mean length7.2770419
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
아스팔트콘크리트 2974
82.1%
콘크리트 629
 
17.4%
미분류 6
 
0.2%
고압블록 5
 
0.1%
AC 4
 
0.1%
비포장 4
 
0.1%
기타 1
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2023-12-11T08:17:49.144752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:49.248262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아스팔트콘크리트 2974
82.1%
콘크리트 629
 
17.4%
미분류 6
 
0.2%
고압블록 5
 
0.1%
ac 4
 
0.1%
비포장 4
 
0.1%
기타 1
 
< 0.1%
na 1
 
< 0.1%

노견-우연장
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2833885
Minimum0
Maximum410
Zeros3438
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:49.588986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum410
Range410
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.868252
Coefficient of variation (CV)6.0511425
Kurtosis115.54868
Mean3.2833885
Median Absolute Deviation (MAD)0
Skewness9.323954
Sum11899
Variance394.74744
MonotonicityNot monotonic
2023-12-11T08:17:49.741473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3438
94.9%
11 6
 
0.2%
8 5
 
0.1%
7 4
 
0.1%
4 4
 
0.1%
33 4
 
0.1%
27 4
 
0.1%
84 4
 
0.1%
65 4
 
0.1%
35 4
 
0.1%
Other values (103) 147
 
4.1%
ValueCountFrequency (%)
0 3438
94.9%
3 3
 
0.1%
4 4
 
0.1%
5 2
 
0.1%
6 2
 
0.1%
7 4
 
0.1%
8 5
 
0.1%
9 3
 
0.1%
10 3
 
0.1%
11 6
 
0.2%
ValueCountFrequency (%)
410 1
< 0.1%
307 1
< 0.1%
260 1
< 0.1%
258 1
< 0.1%
255 1
< 0.1%
236 1
< 0.1%
234 1
< 0.1%
188 1
< 0.1%
185 1
< 0.1%
180 1
< 0.1%

노견-우면적
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8863135
Minimum0
Maximum1064
Zeros3436
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:49.898221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.85
Maximum1064
Range1064
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.825831
Coefficient of variation (CV)6.3947587
Kurtosis126.64752
Mean8.8863135
Median Absolute Deviation (MAD)0
Skewness9.9533134
Sum32204
Variance3229.175
MonotonicityNot monotonic
2023-12-11T08:17:50.042805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3436
94.8%
7 4
 
0.1%
67 3
 
0.1%
26 3
 
0.1%
34 3
 
0.1%
32 3
 
0.1%
117 3
 
0.1%
76 3
 
0.1%
20 3
 
0.1%
93 3
 
0.1%
Other values (134) 160
 
4.4%
ValueCountFrequency (%)
0 3436
94.8%
6 2
 
0.1%
7 4
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 2
 
0.1%
11 1
 
< 0.1%
13 2
 
0.1%
14 1
 
< 0.1%
15 2
 
0.1%
ValueCountFrequency (%)
1064 1
< 0.1%
1036 1
< 0.1%
917 1
< 0.1%
747 1
< 0.1%
715 1
< 0.1%
707 1
< 0.1%
640 1
< 0.1%
591 1
< 0.1%
534 1
< 0.1%
517 1
< 0.1%

노견-우폭
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13576159
Minimum0
Maximum7
Zeros3436
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:50.140279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.62587621
Coefficient of variation (CV)4.6101126
Kurtosis30.48853
Mean0.13576159
Median Absolute Deviation (MAD)0
Skewness5.2186725
Sum492
Variance0.39172103
MonotonicityNot monotonic
2023-12-11T08:17:50.241496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3436
94.8%
2 96
 
2.6%
3 55
 
1.5%
4 14
 
0.4%
5 11
 
0.3%
1 10
 
0.3%
7 2
 
0.1%
ValueCountFrequency (%)
0 3436
94.8%
1 10
 
0.3%
2 96
 
2.6%
3 55
 
1.5%
4 14
 
0.4%
5 11
 
0.3%
7 2
 
0.1%
ValueCountFrequency (%)
7 2
 
0.1%
5 11
 
0.3%
4 14
 
0.4%
3 55
 
1.5%
2 96
 
2.6%
1 10
 
0.3%
0 3436
94.8%

노견-좌연장
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2654525
Minimum0
Maximum410
Zeros3439
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:50.362148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.85
Maximum410
Range410
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.259517
Coefficient of variation (CV)6.5104351
Kurtosis145.16932
Mean3.2654525
Median Absolute Deviation (MAD)0
Skewness10.636079
Sum11834
Variance451.96705
MonotonicityNot monotonic
2023-12-11T08:17:50.512554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3439
94.9%
6 8
 
0.2%
10 6
 
0.2%
26 5
 
0.1%
7 5
 
0.1%
24 4
 
0.1%
56 4
 
0.1%
59 4
 
0.1%
23 4
 
0.1%
8 4
 
0.1%
Other values (95) 141
 
3.9%
ValueCountFrequency (%)
0 3439
94.9%
2 2
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 8
 
0.2%
7 5
 
0.1%
8 4
 
0.1%
9 3
 
0.1%
10 6
 
0.2%
ValueCountFrequency (%)
410 1
< 0.1%
399 1
< 0.1%
339 1
< 0.1%
316 1
< 0.1%
303 1
< 0.1%
269 1
< 0.1%
259 1
< 0.1%
257 1
< 0.1%
249 1
< 0.1%
197 1
< 0.1%

노견-좌면적
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2356512
Minimum0
Maximum1356
Zeros3437
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:50.647964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.85
Maximum1356
Range1356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.702271
Coefficient of variation (CV)7.1278238
Kurtosis200.12367
Mean8.2356512
Median Absolute Deviation (MAD)0
Skewness12.48903
Sum29846
Variance3445.9566
MonotonicityNot monotonic
2023-12-11T08:17:50.801966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3437
94.8%
13 6
 
0.2%
12 5
 
0.1%
20 4
 
0.1%
67 3
 
0.1%
96 3
 
0.1%
95 2
 
0.1%
80 2
 
0.1%
21 2
 
0.1%
40 2
 
0.1%
Other values (133) 158
 
4.4%
ValueCountFrequency (%)
0 3437
94.8%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
12 5
 
0.1%
13 6
 
0.2%
ValueCountFrequency (%)
1356 1
< 0.1%
1060 1
< 0.1%
1015 1
< 0.1%
976 1
< 0.1%
926 1
< 0.1%
878 1
< 0.1%
696 1
< 0.1%
649 1
< 0.1%
598 1
< 0.1%
529 1
< 0.1%

노견-좌폭
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12444812
Minimum0
Maximum5
Zeros3437
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:50.941015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58049868
Coefficient of variation (CV)4.6645836
Kurtosis30.130938
Mean0.12444812
Median Absolute Deviation (MAD)0
Skewness5.2690659
Sum451
Variance0.33697872
MonotonicityNot monotonic
2023-12-11T08:17:51.044271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3437
94.8%
2 108
 
3.0%
3 29
 
0.8%
1 21
 
0.6%
4 18
 
0.5%
5 11
 
0.3%
ValueCountFrequency (%)
0 3437
94.8%
1 21
 
0.6%
2 108
 
3.0%
3 29
 
0.8%
4 18
 
0.5%
5 11
 
0.3%
ValueCountFrequency (%)
5 11
 
0.3%
4 18
 
0.5%
3 29
 
0.8%
2 108
 
3.0%
1 21
 
0.6%
0 3437
94.8%

도로경계석-좌재질
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
<NA>
2940 
현장타설콘크리트
 
231
미분류
 
181
화강석
 
177
콘크리트
 
89
Other values (2)
 
6

Length

Max length8
Median length4
Mean length4.1553532
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화강석
2nd row화강석
3rd row현장타설콘크리트
4th row현장타설콘크리트
5th row현장타설콘크리트

Common Values

ValueCountFrequency (%)
<NA> 2940
81.1%
현장타설콘크리트 231
 
6.4%
미분류 181
 
5.0%
화강석 177
 
4.9%
콘크리트 89
 
2.5%
기타 3
 
0.1%
인조화강석 3
 
0.1%

Length

2023-12-11T08:17:51.171696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:51.297301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2940
81.1%
현장타설콘크리트 231
 
6.4%
미분류 181
 
5.0%
화강석 177
 
4.9%
콘크리트 89
 
2.5%
기타 3
 
0.1%
인조화강석 3
 
0.1%

도로경계석-좌연장
Real number (ℝ)

ZEROS 

Distinct219
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.848234
Minimum0
Maximum1124
Zeros2726
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:51.514874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile111.85
Maximum1124
Range1124
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.372486
Coefficient of variation (CV)2.9343232
Kurtosis90.692099
Mean17.848234
Median Absolute Deviation (MAD)0
Skewness7.0350627
Sum64682
Variance2742.8773
MonotonicityNot monotonic
2023-12-11T08:17:51.647759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2726
75.2%
15 19
 
0.5%
13 19
 
0.5%
34 17
 
0.5%
10 16
 
0.4%
12 15
 
0.4%
47 14
 
0.4%
8 14
 
0.4%
7 14
 
0.4%
23 13
 
0.4%
Other values (209) 757
 
20.9%
ValueCountFrequency (%)
0 2726
75.2%
1 6
 
0.2%
2 6
 
0.2%
3 6
 
0.2%
4 8
 
0.2%
5 10
 
0.3%
6 13
 
0.4%
7 14
 
0.4%
8 14
 
0.4%
9 9
 
0.2%
ValueCountFrequency (%)
1124 1
< 0.1%
750 1
< 0.1%
734 1
< 0.1%
574 1
< 0.1%
552 1
< 0.1%
464 1
< 0.1%
439 1
< 0.1%
432 1
< 0.1%
402 1
< 0.1%
395 1
< 0.1%

도로경계석-우재질
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.4 KiB
<NA>
1399 
미분류
1033 
콘크리트
524 
화강석
381 
현장타설콘크리트
284 
Other values (2)
 
3

Length

Max length8
Median length4
Mean length3.9224614
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row화강석
2nd row화강석
3rd row현장타설콘크리트
4th row현장타설콘크리트
5th row미분류

Common Values

ValueCountFrequency (%)
<NA> 1399
38.6%
미분류 1033
28.5%
콘크리트 524
 
14.5%
화강석 381
 
10.5%
현장타설콘크리트 284
 
7.8%
기타 2
 
0.1%
인조화강석 1
 
< 0.1%

Length

2023-12-11T08:17:51.820198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:51.974400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1399
38.6%
미분류 1033
28.5%
콘크리트 524
 
14.5%
화강석 381
 
10.5%
현장타설콘크리트 284
 
7.8%
기타 2
 
0.1%
인조화강석 1
 
< 0.1%

도로경계석-우연장
Real number (ℝ)

ZEROS 

Distinct212
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.017108
Minimum0
Maximum1130
Zeros2762
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2023-12-11T08:17:52.125581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105
Maximum1130
Range1130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.021027
Coefficient of variation (CV)2.9982196
Kurtosis101.37267
Mean17.017108
Median Absolute Deviation (MAD)0
Skewness7.4089279
Sum61670
Variance2603.1452
MonotonicityNot monotonic
2023-12-11T08:17:52.291215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2762
76.2%
15 20
 
0.6%
32 17
 
0.5%
13 14
 
0.4%
33 14
 
0.4%
55 14
 
0.4%
11 14
 
0.4%
21 13
 
0.4%
34 13
 
0.4%
9 13
 
0.4%
Other values (202) 730
 
20.1%
ValueCountFrequency (%)
0 2762
76.2%
1 5
 
0.1%
2 3
 
0.1%
3 5
 
0.1%
4 4
 
0.1%
5 11
 
0.3%
6 11
 
0.3%
7 8
 
0.2%
8 8
 
0.2%
9 13
 
0.4%
ValueCountFrequency (%)
1130 1
< 0.1%
834 1
< 0.1%
615 1
< 0.1%
533 1
< 0.1%
495 1
< 0.1%
464 1
< 0.1%
454 2
0.1%
453 1
< 0.1%
415 1
< 0.1%
361 1
< 0.1%

Sample

순번지형지물부호행정읍/면/동관리기관왕복차로수공사번호도로법면연장도로법면면적차도구간연장차도구간면적차도재질노견-우연장노견-우면적노견-우폭노견-좌연장노견-좌면적노견-좌폭도로경계석-좌재질도로경계석-좌연장도로경계석-우재질도로경계석-우연장
00차도면하남읍밀양시2<NA>001551590아스팔트콘크리트000000화강석156화강석155
11차도면하남읍밀양시1<NA>0066399아스팔트콘크리트000000화강석59화강석67
22차도면하남읍밀양시1<NA>0091585아스팔트콘크리트000000현장타설콘크리트90현장타설콘크리트89
33차도면하남읍밀양시1<NA>0016119아스팔트콘크리트000000현장타설콘크리트14현장타설콘크리트19
44차도면하남읍밀양시1<NA>001361아스팔트콘크리트000000현장타설콘크리트9미분류0
55차도면하남읍밀양시1<NA>001261아스팔트콘크리트000000현장타설콘크리트14현장타설콘크리트12
66차도면삼랑진읍밀양시2<NA>0035373아스팔트콘크리트000000화강석35화강석35
77차도면삼랑진읍밀양시2<NA>00675아스팔트콘크리트000000미분류0화강석6
88차도면삼랑진읍밀양시1<NA>00136805아스팔트콘크리트000000화강석132화강석137
99차도면삼랑진읍밀양시2<NA>0021230아스팔트콘크리트000000화강석25화강석19
순번지형지물부호행정읍/면/동관리기관왕복차로수공사번호도로법면연장도로법면면적차도구간연장차도구간면적차도재질노견-우연장노견-우면적노견-우폭노견-좌연장노견-좌면적노견-좌폭도로경계석-좌재질도로경계석-좌연장도로경계석-우재질도로경계석-우연장
36143614차도면내이동밀양시6<NA>942414942414아스팔트콘크리트000000<NA>96현장타설콘크리트36
36153615차도면내이동밀양시2<NA>9747497474아스팔트콘크리트000000<NA>0미분류0
36163616차도면내이동밀양시6<NA>61716171아스팔트콘크리트000000<NA>6미분류0
36173617차도면내이동밀양시2200300010622818572281857아스팔트콘크리트000000<NA>175미분류0
36183618차도면내이동밀양시6<NA>2256322563아스팔트콘크리트000000<NA>23화강석21
36193619차도면내이동밀양시6<NA>10827061082706아스팔트콘크리트000000<NA>103화강석112
36203620차도면내이동밀양시2<NA>120951120951콘크리트000000<NA>120콘크리트120
36213621차도면내이동밀양시2<NA>3124231242콘크리트000000<NA>31콘크리트31
36223622차도면내이동밀양시2<NA>1511815118콘크리트000000<NA>15미분류0
36233623차도면내이동밀양시2<NA>3327033270콘크리트000000<NA>35콘크리트35