Overview

Dataset statistics

Number of variables27
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory240.9 B

Variable types

Categorical15
Numeric11
Text1

Dataset

Description통영시 도시정보시스템의 지하차도에 대하여 지형지물부호,관리번호,행정읍면동,도엽번호,관리기관,관리자,도로구간번호,구조물등급,총연장,총면적 등에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15062689/fileData.do

Alerts

지형지물부호 has constant value ""Constant
관리기관 has constant value ""Constant
관리자 has constant value ""Constant
구조물등급 has constant value ""Constant
일반제원-차량대비시설유무 has constant value ""Constant
구체연장 is highly imbalanced (71.3%)Imbalance
구체면적 is highly imbalanced (71.3%)Imbalance
폭원-좌보도 is highly imbalanced (71.3%)Imbalance
폭원-우보도 is highly imbalanced (71.3%)Imbalance
왕복차로수 is highly imbalanced (77.1%)Imbalance
옹벽-높이 is highly imbalanced (71.3%)Imbalance
옹벽-연장 is highly imbalanced (71.3%)Imbalance
옹벽-면적 is highly imbalanced (71.3%)Imbalance
조명시설-수량 is highly imbalanced (77.1%)Imbalance
관리번호 has unique valuesUnique
총면적 has unique valuesUnique
구분ID has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique
도로구간번호 has 2 (7.4%) zerosZeros
일반제원-통행제한높이 has 4 (14.8%) zerosZeros
구분ID has 1 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-12 19:02:31.768355
Analysis finished2023-12-12 19:02:32.085775
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
지하차도
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지하차도 27
100.0%

Length

2023-12-13T04:02:32.174450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:32.276264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하차도 27
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:32.400604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-13T04:02:32.539637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

행정읍면동
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
용남면
13 
광도면
12 
무전동
 
1
북신동
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row무전동
2nd row북신동
3rd row용남면
4th row용남면
5th row용남면

Common Values

ValueCountFrequency (%)
용남면 13
48.1%
광도면 12
44.4%
무전동 1
 
3.7%
북신동 1
 
3.7%

Length

2023-12-13T04:02:32.683270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:32.817906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용남면 13
48.1%
광도면 12
44.4%
무전동 1
 
3.7%
북신동 1
 
3.7%

도엽번호
Text

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:02:33.010731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters270
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)74.1%

Sample

1st row348021464A
2nd row348021906B
3rd row348021479A
4th row348021460C
5th row348021460C
ValueCountFrequency (%)
348021460c 3
 
11.1%
348021423a 2
 
7.4%
348021514d 2
 
7.4%
348021464a 1
 
3.7%
348020952a 1
 
3.7%
348020963c 1
 
3.7%
348021403a 1
 
3.7%
348021479c 1
 
3.7%
348021450d 1
 
3.7%
348021457c 1
 
3.7%
Other values (13) 13
48.1%
2023-12-13T04:02:33.398656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 49
18.1%
0 42
15.6%
3 34
12.6%
2 34
12.6%
8 32
11.9%
1 28
10.4%
5 9
 
3.3%
C 8
 
3.0%
D 8
 
3.0%
A 8
 
3.0%
Other values (4) 18
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 243
90.0%
Uppercase Letter 27
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 49
20.2%
0 42
17.3%
3 34
14.0%
2 34
14.0%
8 32
13.2%
1 28
11.5%
5 9
 
3.7%
6 7
 
2.9%
9 5
 
2.1%
7 3
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 8
29.6%
D 8
29.6%
A 8
29.6%
B 3
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common 243
90.0%
Latin 27
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 49
20.2%
0 42
17.3%
3 34
14.0%
2 34
14.0%
8 32
13.2%
1 28
11.5%
5 9
 
3.7%
6 7
 
2.9%
9 5
 
2.1%
7 3
 
1.2%
Latin
ValueCountFrequency (%)
C 8
29.6%
D 8
29.6%
A 8
29.6%
B 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 49
18.1%
0 42
15.6%
3 34
12.6%
2 34
12.6%
8 32
11.9%
1 28
10.4%
5 9
 
3.3%
C 8
 
3.0%
D 8
 
3.0%
A 8
 
3.0%
Other values (4) 18
 
6.7%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
통영시
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통영시 27
100.0%

Length

2023-12-13T04:02:33.571795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:33.682591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통영시 27
100.0%

관리자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
통영시장
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통영시장 27
100.0%

Length

2023-12-13T04:02:33.804302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:33.921521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통영시장 27
100.0%

도로구간번호
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5360.9259
Minimum0
Maximum7206
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:34.037234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.2
Q15488.5
median5655
Q36481.5
95-th percentile7134.7
Maximum7206
Range7206
Interquartile range (IQR)993

Descriptive statistics

Standard deviation2054.3727
Coefficient of variation (CV)0.38321229
Kurtosis3.3736229
Mean5360.9259
Median Absolute Deviation (MAD)714
Skewness-2.0525436
Sum144745
Variance4220447.2
MonotonicityNot monotonic
2023-12-13T04:02:34.183660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5389 2
 
7.4%
5613 2
 
7.4%
0 2
 
7.4%
7206 1
 
3.7%
7135 1
 
3.7%
7134 1
 
3.7%
6589 1
 
3.7%
6649 1
 
3.7%
6671 1
 
3.7%
6081 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 2
7.4%
84 1
3.7%
3721 1
3.7%
5371 1
3.7%
5389 2
7.4%
5588 1
3.7%
5606 1
3.7%
5611 1
3.7%
5613 2
7.4%
5626 1
3.7%
ValueCountFrequency (%)
7206 1
3.7%
7135 1
3.7%
7134 1
3.7%
6804 1
3.7%
6671 1
3.7%
6649 1
3.7%
6589 1
3.7%
6374 1
3.7%
6371 1
3.7%
6369 1
3.7%

구조물등급
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
B등급
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
B등급 27
100.0%

Length

2023-12-13T04:02:34.346664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:34.459075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b등급 27
100.0%

총연장
Real number (ℝ)

Distinct20
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.759259
Minimum10
Maximum460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:34.570423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11.65
Q120.5
median27.5
Q333
95-th percentile58.8
Maximum460
Range450
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation84.135007
Coefficient of variation (CV)1.922679
Kurtosis25.658013
Mean43.759259
Median Absolute Deviation (MAD)6.5
Skewness5.0127171
Sum1181.5
Variance7078.6994
MonotonicityNot monotonic
2023-12-13T04:02:34.715295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
30.0 3
 
11.1%
21.0 3
 
11.1%
19.0 2
 
7.4%
28.0 2
 
7.4%
33.0 2
 
7.4%
460.0 1
 
3.7%
35.5 1
 
3.7%
17.0 1
 
3.7%
56.0 1
 
3.7%
55.0 1
 
3.7%
Other values (10) 10
37.0%
ValueCountFrequency (%)
10.0 1
 
3.7%
11.5 1
 
3.7%
12.0 1
 
3.7%
17.0 1
 
3.7%
19.0 2
7.4%
20.0 1
 
3.7%
21.0 3
11.1%
22.0 1
 
3.7%
23.0 1
 
3.7%
24.0 1
 
3.7%
ValueCountFrequency (%)
460.0 1
 
3.7%
60.0 1
 
3.7%
56.0 1
 
3.7%
55.0 1
 
3.7%
35.5 1
 
3.7%
35.0 1
 
3.7%
33.0 2
7.4%
30.0 3
11.1%
28.0 2
7.4%
27.5 1
 
3.7%

총면적
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.62
Minimum51.03
Maximum3680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:34.863263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.03
5-th percentile62.749
Q194.865
median126.44
Q3248.925
95-th percentile651.188
Maximum3680
Range3628.97
Interquartile range (IQR)154.06

Descriptive statistics

Standard deviation689.57553
Coefficient of variation (CV)2.2057947
Kurtosis24.191109
Mean312.62
Median Absolute Deviation (MAD)43.27
Skewness4.8238131
Sum8440.74
Variance475514.42
MonotonicityNot monotonic
2023-12-13T04:02:35.015419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3680.0 1
 
3.7%
109.0 1
 
3.7%
126.44 1
 
3.7%
80.99 1
 
3.7%
335.79 1
 
3.7%
705.2 1
 
3.7%
249.9 1
 
3.7%
100.2 1
 
3.7%
51.03 1
 
3.7%
93.54 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
51.03 1
3.7%
55.15 1
3.7%
80.48 1
3.7%
80.99 1
3.7%
83.17 1
3.7%
93.54 1
3.7%
94.65 1
3.7%
95.08 1
3.7%
100.2 1
3.7%
106.47 1
3.7%
ValueCountFrequency (%)
3680.0 1
3.7%
705.2 1
3.7%
525.16 1
3.7%
361.47 1
3.7%
335.79 1
3.7%
265.68 1
3.7%
249.9 1
3.7%
247.95 1
3.7%
204.87 1
3.7%
148.47 1
3.7%

구체연장
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
25 
200
 
1
10
 
1

Length

Max length3
Median length1
Mean length1.1111111
Min length1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row200
2nd row10
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
92.6%
200 1
 
3.7%
10 1
 
3.7%

Length

2023-12-13T04:02:35.189511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:35.311427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
92.6%
200 1
 
3.7%
10 1
 
3.7%

구체면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
25 
1600
 
1
109
 
1

Length

Max length4
Median length1
Mean length1.1851852
Min length1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row1600
2nd row109
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
92.6%
1600 1
 
3.7%
109 1
 
3.7%

Length

2023-12-13T04:02:35.417834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:35.545349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
92.6%
1600 1
 
3.7%
109 1
 
3.7%

구체높이
Real number (ℝ)

Distinct12
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5925926
Minimum3
Maximum6.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:35.659955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.15
Q14.5
median4.5
Q34.85
95-th percentile6.06
Maximum6.5
Range3.5
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.7888287
Coefficient of variation (CV)0.17176109
Kurtosis1.4318217
Mean4.5925926
Median Absolute Deviation (MAD)0.1
Skewness0.27194755
Sum124
Variance0.62225071
MonotonicityNot monotonic
2023-12-13T04:02:35.787814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.5 11
40.7%
5.0 3
 
11.1%
4.6 2
 
7.4%
3.0 2
 
7.4%
5.5 2
 
7.4%
4.7 1
 
3.7%
6.5 1
 
3.7%
3.5 1
 
3.7%
6.3 1
 
3.7%
4.4 1
 
3.7%
Other values (2) 2
 
7.4%
ValueCountFrequency (%)
3.0 2
 
7.4%
3.5 1
 
3.7%
3.6 1
 
3.7%
4.3 1
 
3.7%
4.4 1
 
3.7%
4.5 11
40.7%
4.6 2
 
7.4%
4.7 1
 
3.7%
5.0 3
 
11.1%
5.5 2
 
7.4%
ValueCountFrequency (%)
6.5 1
 
3.7%
6.3 1
 
3.7%
5.5 2
 
7.4%
5.0 3
 
11.1%
4.7 1
 
3.7%
4.6 2
 
7.4%
4.5 11
40.7%
4.4 1
 
3.7%
4.3 1
 
3.7%
3.6 1
 
3.7%

일반제원-통행제한높이
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.462963
Minimum0
Maximum5.5
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:35.945634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.05
median4.3
Q34.4
95-th percentile4.64
Maximum5.5
Range5.5
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.6091441
Coefficient of variation (CV)0.46467263
Kurtosis1.005044
Mean3.462963
Median Absolute Deviation (MAD)0.4
Skewness-1.471096
Sum93.5
Variance2.5893447
MonotonicityNot monotonic
2023-12-13T04:02:36.076004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4.3 7
25.9%
4.5 4
14.8%
0.0 4
14.8%
3.8 4
14.8%
4.4 2
 
7.4%
2.8 2
 
7.4%
4.7 1
 
3.7%
3.3 1
 
3.7%
5.5 1
 
3.7%
2.3 1
 
3.7%
ValueCountFrequency (%)
0.0 4
14.8%
2.3 1
 
3.7%
2.8 2
 
7.4%
3.3 1
 
3.7%
3.8 4
14.8%
4.3 7
25.9%
4.4 2
 
7.4%
4.5 4
14.8%
4.7 1
 
3.7%
5.5 1
 
3.7%
ValueCountFrequency (%)
5.5 1
 
3.7%
4.7 1
 
3.7%
4.5 4
14.8%
4.4 2
 
7.4%
4.3 7
25.9%
3.8 4
14.8%
3.3 1
 
3.7%
2.8 2
 
7.4%
2.3 1
 
3.7%
0.0 4
14.8%

일반제원-차량대비시설유무
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
미분류
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 27
100.0%

Length

2023-12-13T04:02:36.231405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:36.346084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 27
100.0%

폭원-계
Real number (ℝ)

Distinct12
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2555556
Minimum2.5
Maximum31.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:36.463890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3
Q14.5
median4.5
Q39.25
95-th percentile15
Maximum31.5
Range29
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation6.0190297
Coefficient of variation (CV)0.8295753
Kurtosis9.7548809
Mean7.2555556
Median Absolute Deviation (MAD)0.5
Skewness2.820284
Sum195.9
Variance36.228718
MonotonicityNot monotonic
2023-12-13T04:02:36.640709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.5 13
48.1%
15.0 2
 
7.4%
3.0 2
 
7.4%
10.5 2
 
7.4%
8.0 1
 
3.7%
10.9 1
 
3.7%
3.5 1
 
3.7%
12.0 1
 
3.7%
2.5 1
 
3.7%
31.5 1
 
3.7%
Other values (2) 2
 
7.4%
ValueCountFrequency (%)
2.5 1
 
3.7%
3.0 2
 
7.4%
3.5 1
 
3.7%
4.5 13
48.1%
5.0 1
 
3.7%
7.0 1
 
3.7%
8.0 1
 
3.7%
10.5 2
 
7.4%
10.9 1
 
3.7%
12.0 1
 
3.7%
ValueCountFrequency (%)
31.5 1
 
3.7%
15.0 2
 
7.4%
12.0 1
 
3.7%
10.9 1
 
3.7%
10.5 2
 
7.4%
8.0 1
 
3.7%
7.0 1
 
3.7%
5.0 1
 
3.7%
4.5 13
48.1%
3.5 1
 
3.7%

폭원-차도
Real number (ℝ)

Distinct12
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2555556
Minimum2.5
Maximum31.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:36.791597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3
Q14.5
median4.5
Q39.25
95-th percentile15
Maximum31.5
Range29
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation6.0190297
Coefficient of variation (CV)0.8295753
Kurtosis9.7548809
Mean7.2555556
Median Absolute Deviation (MAD)0.5
Skewness2.820284
Sum195.9
Variance36.228718
MonotonicityNot monotonic
2023-12-13T04:02:36.946806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.5 13
48.1%
15.0 2
 
7.4%
3.0 2
 
7.4%
10.5 2
 
7.4%
8.0 1
 
3.7%
10.9 1
 
3.7%
3.5 1
 
3.7%
12.0 1
 
3.7%
2.5 1
 
3.7%
31.5 1
 
3.7%
Other values (2) 2
 
7.4%
ValueCountFrequency (%)
2.5 1
 
3.7%
3.0 2
 
7.4%
3.5 1
 
3.7%
4.5 13
48.1%
5.0 1
 
3.7%
7.0 1
 
3.7%
8.0 1
 
3.7%
10.5 2
 
7.4%
10.9 1
 
3.7%
12.0 1
 
3.7%
ValueCountFrequency (%)
31.5 1
 
3.7%
15.0 2
 
7.4%
12.0 1
 
3.7%
10.9 1
 
3.7%
10.5 2
 
7.4%
8.0 1
 
3.7%
7.0 1
 
3.7%
5.0 1
 
3.7%
4.5 13
48.1%
3.5 1
 
3.7%

폭원-좌보도
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0.0
25 
1.2
 
1
2.6
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row0.0
2nd row1.2
3rd row2.6
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
92.6%
1.2 1
 
3.7%
2.6 1
 
3.7%

Length

2023-12-13T04:02:37.132716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:37.267991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
92.6%
1.2 1
 
3.7%
2.6 1
 
3.7%

폭원-우보도
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0.0
25 
1.3
 
1
2.6
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row0.0
2nd row1.3
3rd row2.6
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
92.6%
1.3 1
 
3.7%
2.6 1
 
3.7%

Length

2023-12-13T04:02:37.391609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:37.537727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
92.6%
1.3 1
 
3.7%
2.6 1
 
3.7%

왕복차로수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
26 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 26
96.3%
2 1
 
3.7%

Length

2023-12-13T04:02:37.688872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:37.793762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
96.3%
2 1
 
3.7%

옹벽-높이
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0.0
25 
6.1
 
1
5.6
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row6.1
2nd row5.6
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
92.6%
6.1 1
 
3.7%
5.6 1
 
3.7%

Length

2023-12-13T04:02:37.947774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:38.094583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
92.6%
6.1 1
 
3.7%
5.6 1
 
3.7%

옹벽-연장
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0.0
25 
140.0
 
1
28.3
 
1

Length

Max length5
Median length3
Mean length3.1111111
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row140.0
2nd row28.3
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
92.6%
140.0 1
 
3.7%
28.3 1
 
3.7%

Length

2023-12-13T04:02:38.263310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:38.401309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
92.6%
140.0 1
 
3.7%
28.3 1
 
3.7%

옹벽-면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
0.0
25 
458.5
 
1
84.9
 
1

Length

Max length5
Median length3
Mean length3.1111111
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row458.5
2nd row84.9
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25
92.6%
458.5 1
 
3.7%
84.9 1
 
3.7%

Length

2023-12-13T04:02:38.540661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:38.700585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
92.6%
458.5 1
 
3.7%
84.9 1
 
3.7%

조명시설-수량
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
26 
154
 
1

Length

Max length3
Median length1
Mean length1.0740741
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row154
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
96.3%
154 1
 
3.7%

Length

2023-12-13T04:02:38.885060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:39.052169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
96.3%
154 1
 
3.7%

구분ID
Real number (ℝ)

UNIQUE  ZEROS 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum0
Maximum26
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:39.183585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3
Q16.5
median13
Q319.5
95-th percentile24.7
Maximum26
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.61055799
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)7
Skewness0
Sum351
Variance63
MonotonicityStrictly increasing
2023-12-13T04:02:39.364774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 1
 
3.7%
1 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
19 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
0 1
3.7%
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
ValueCountFrequency (%)
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%
17 1
3.7%

경도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.42911
Minimum128.39922
Maximum128.46931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:39.853591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.39922
5-th percentile128.40389
Q1128.40995
median128.42819
Q3128.44629
95-th percentile128.46692
Maximum128.46931
Range0.0700887
Interquartile range (IQR)0.0363411

Descriptive statistics

Standard deviation0.022117851
Coefficient of variation (CV)0.00017221837
Kurtosis-1.2646242
Mean128.42911
Median Absolute Deviation (MAD)0.0186913
Skewness0.32720898
Sum3467.5859
Variance0.00048919934
MonotonicityNot monotonic
2023-12-13T04:02:39.997511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
128.4169687 1
 
3.7%
128.4281925 1
 
3.7%
128.4121503 1
 
3.7%
128.4115088 1
 
3.7%
128.40599 1
 
3.7%
128.4117238 1
 
3.7%
128.4103945 1
 
3.7%
128.4408324 1
 
3.7%
128.4469346 1
 
3.7%
128.4482459 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
128.3992195 1
3.7%
128.403741 1
3.7%
128.4042487 1
3.7%
128.405073 1
3.7%
128.4055603 1
3.7%
128.40599 1
3.7%
128.4095012 1
3.7%
128.4103945 1
3.7%
128.4115088 1
3.7%
128.4117238 1
3.7%
ValueCountFrequency (%)
128.4693082 1
3.7%
128.4692561 1
3.7%
128.4614714 1
3.7%
128.4536197 1
3.7%
128.4513189 1
3.7%
128.4482459 1
3.7%
128.4469346 1
3.7%
128.4456433 1
3.7%
128.4456133 1
3.7%
128.4414486 1
3.7%

위도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.893863
Minimum34.849506
Maximum34.961634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:02:40.167381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.849506
5-th percentile34.862127
Q134.8701
median34.889091
Q334.89842
95-th percentile34.958747
Maximum34.961634
Range0.11212816
Interquartile range (IQR)0.028320155

Descriptive statistics

Standard deviation0.0322905
Coefficient of variation (CV)0.00092539195
Kurtosis0.34384824
Mean34.893863
Median Absolute Deviation (MAD)0.01897781
Skewness1.1319552
Sum942.13431
Variance0.0010426764
MonotonicityNot monotonic
2023-12-13T04:02:40.310812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
34.86837603 1
 
3.7%
34.84950595 1
 
3.7%
34.88909135 1
 
3.7%
34.8897248 1
 
3.7%
34.92446582 1
 
3.7%
34.91529601 1
 
3.7%
34.89972251 1
 
3.7%
34.86111571 1
 
3.7%
34.8722429 1
 
3.7%
34.8756537 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
34.84950595 1
3.7%
34.86111571 1
3.7%
34.86448552 1
3.7%
34.86696219 1
3.7%
34.86837603 1
3.7%
34.87004167 1
3.7%
34.87008569 1
3.7%
34.87011354 1
3.7%
34.8722429 1
3.7%
34.87248094 1
3.7%
ValueCountFrequency (%)
34.96163411 1
3.7%
34.95874737 1
3.7%
34.95874634 1
3.7%
34.95871506 1
3.7%
34.92446582 1
3.7%
34.91529601 1
3.7%
34.89972251 1
3.7%
34.89711703 1
3.7%
34.89681891 1
3.7%
34.89089574 1
3.7%

Sample

지형지물부호관리번호행정읍면동도엽번호관리기관관리자도로구간번호구조물등급총연장총면적구체연장구체면적구체높이일반제원-통행제한높이일반제원-차량대비시설유무폭원-계폭원-차도폭원-좌보도폭원-우보도왕복차로수옹벽-높이옹벽-연장옹벽-면적조명시설-수량구분ID경도위도
0지하차도1무전동348021464A통영시통영시장84B등급460.03680.020016004.74.7미분류8.08.00.00.026.1140.0458.51540128.41696934.868376
1지하차도2북신동348021906B통영시통영시장3721B등급10.0109.0101094.54.5미분류10.910.91.21.315.628.384.901128.42819234.849506
2지하차도3용남면348021479A통영시통영시장5588B등급19.0361.47005.04.5미분류15.015.02.62.610.00.00.002128.44144934.864486
3지하차도4용남면348021460C통영시통영시장5613B등급30.0135.83004.64.4미분류4.54.50.00.010.00.00.003128.44561334.870042
4지하차도5용남면348021460C통영시통영시장5613B등급30.0135.73004.64.4미분류4.54.50.00.010.00.00.004128.44564334.870086
5지하차도6광도면348020482A통영시통영시장6369B등급24.0106.47006.50.0미분류4.54.50.00.010.00.00.005128.4055634.958715
6지하차도7광도면348020482B통영시통영시장6236B등급23.080.48003.53.3미분류3.53.50.00.010.00.00.006128.40950134.958746
7지하차도8광도면348020481B통영시통영시장6371B등급28.083.17003.02.8미분류3.03.00.00.010.00.00.007128.40424934.958747
8지하차도9용남면348021521D통영시통영시장5626B등급21.094.65004.53.8미분류4.54.50.00.010.00.00.008128.4536234.887341
9지하차도10용남면348021513C통영시통영시장5371B등급19.0204.87005.04.5미분류12.012.00.00.010.00.00.009128.46147134.890059
지형지물부호관리번호행정읍면동도엽번호관리기관관리자도로구간번호구조물등급총연장총면적구체연장구체면적구체높이일반제원-통행제한높이일반제원-차량대비시설유무폭원-계폭원-차도폭원-좌보도폭원-우보도왕복차로수옹벽-높이옹벽-연장옹벽-면적조명시설-수량구분ID경도위도
17지하차도18용남면348021468D통영시통영시장0B등급35.5106.95003.62.8미분류3.03.00.00.010.00.00.0017128.4395234.866962
18지하차도19용남면348021457C통영시통영시장5860B등급60.0265.68005.04.5미분류4.54.50.00.010.00.00.0018128.43009134.870114
19지하차도20용남면348021450D통영시통영시장5611B등급21.093.54004.53.8미분류4.54.50.00.010.00.00.0019128.44824634.875654
20지하차도21용남면348021460C통영시통영시장5655B등급20.051.03003.02.3미분류2.52.50.00.010.00.00.0020128.44693534.872243
21지하차도22용남면348021479C통영시통영시장6081B등급22.0100.2004.53.8미분류4.54.50.00.010.00.00.0021128.44083234.861116
22지하차도23광도면348021403A통영시통영시장6671B등급55.0249.9004.54.3미분류4.54.50.00.010.00.00.0022128.41039434.899723
23지하차도24광도면348020963C통영시통영시장6649B등급30.0705.2005.50.0미분류31.531.50.00.010.00.00.0023128.41172434.915296
24지하차도25광도면348020952A통영시통영시장6589B등급56.0335.79004.54.3미분류7.07.00.00.010.00.00.0024128.4059934.924466
25지하차도26광도면348021423A통영시통영시장7134B등급17.080.99004.54.3미분류5.05.00.00.010.00.00.0025128.41150934.889725
26지하차도27광도면348021423A통영시통영시장7135B등급28.0126.44004.54.3미분류4.54.50.00.010.00.00.0026128.4121534.889091