Overview

Dataset statistics

Number of variables22
Number of observations176
Missing cells173
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 KiB
Average record size in memory186.8 B

Variable types

Numeric6
Categorical10
Text3
Boolean3

Dataset

Description경상남도 남해군 과속방지턱별 관리번호, 과속방지턱재료, 과속방지턱형태구분, 과속방지턱높이, 과속방지턱폭, 과속방지턱연장, 도로유형구분, 규격여부 등에 대한 자료
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111809

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
과속방지턱재료 has constant value ""Constant
과속방지턱형태구분 has constant value ""Constant
도로유형구분 has constant value ""Constant
보차분리여부 has constant value ""Constant
연속형여부 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
과속방지턱설치연도 is highly imbalanced (68.5%)Imbalance
소재지도로명주소 has 173 (98.3%) missing valuesMissing
과속방지턱관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:44:33.490767
Analysis finished2023-12-11 00:44:33.810011
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과속방지턱관리번호
Real number (ℝ)

UNIQUE 

Distinct176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.948864
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:44:33.887078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.75
Q145.75
median91.5
Q3138.25
95-th percentile173.25
Maximum182
Range181
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation53.03856
Coefficient of variation (CV)0.5768267
Kurtosis-1.2238704
Mean91.948864
Median Absolute Deviation (MAD)46.5
Skewness-0.002912299
Sum16183
Variance2813.0888
MonotonicityNot monotonic
2023-12-11T09:44:34.031427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 1
 
0.6%
19 1
 
0.6%
111 1
 
0.6%
110 1
 
0.6%
109 1
 
0.6%
108 1
 
0.6%
106 1
 
0.6%
105 1
 
0.6%
104 1
 
0.6%
103 1
 
0.6%
Other values (166) 166
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
10 1
0.6%
11 1
0.6%
ValueCountFrequency (%)
182 1
0.6%
181 1
0.6%
180 1
0.6%
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경상남도
176 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 176
100.0%

Length

2023-12-11T09:44:34.205176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:34.313979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 176
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
남해군
176 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남해군 176
100.0%

Length

2023-12-11T09:44:34.430146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:34.554270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남해군 176
100.0%

도로명
Categorical

Distinct27
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
서부로
29 
남서대로
26 
남면로
19 
흥선로
18 
삼이로
14 
Other values (22)
70 

Length

Max length4
Median length3
Mean length3.1988636
Min length3

Unique

Unique5 ?
Unique (%)2.8%

Sample

1st row흥선로
2nd row흥선로
3rd row흥선로
4th row흥선로
5th row서부로

Common Values

ValueCountFrequency (%)
서부로 29
16.5%
남서대로 26
14.8%
남면로 19
10.8%
흥선로 18
10.2%
삼이로 14
 
8.0%
미송로 9
 
5.1%
설천로 8
 
4.5%
고실로 7
 
4.0%
스포츠로 4
 
2.3%
탑동로 4
 
2.3%
Other values (17) 38
21.6%

Length

2023-12-11T09:44:34.691657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서부로 29
16.5%
남서대로 26
14.8%
남면로 19
10.8%
흥선로 18
10.2%
삼이로 14
 
8.0%
미송로 9
 
5.1%
설천로 8
 
4.5%
고실로 7
 
4.0%
스포츠로 4
 
2.3%
탑동로 4
 
2.3%
Other values (17) 38
21.6%

소재지도로명주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing173
Missing (%)98.3%
Memory size1.5 KiB
2023-12-11T09:44:34.895021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length24.666667
Min length20

Characters and Unicode

Total characters74
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 설천면 노량로 178
2nd row경상남도 남해군 상주면 남해대로1299번길 67, (양아리)
3rd row경상남도 남해군 창선면 흥선로 1458
ValueCountFrequency (%)
경상남도 3
18.8%
남해군 3
18.8%
설천면 1
 
6.2%
노량로 1
 
6.2%
178 1
 
6.2%
상주면 1
 
6.2%
남해대로1299번길 1
 
6.2%
67 1
 
6.2%
양아리 1
 
6.2%
창선면 1
 
6.2%
Other values (2) 2
12.5%
2023-12-11T09:44:35.247221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
17.6%
남 7
 
9.5%
해 4
 
5.4%
상 4
 
5.4%
경 3
 
4.1%
도 3
 
4.1%
군 3
 
4.1%
면 3
 
4.1%
로 3
 
4.1%
1 3
 
4.1%
Other values (24) 28
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
60.8%
Space Separator 13
 
17.6%
Decimal Number 13
 
17.6%
Close Punctuation 1
 
1.4%
Other Punctuation 1
 
1.4%
Open Punctuation 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 7
15.6%
해 4
 
8.9%
상 4
 
8.9%
경 3
 
6.7%
도 3
 
6.7%
군 3
 
6.7%
면 3
 
6.7%
로 3
 
6.7%
선 2
 
4.4%
아 1
 
2.2%
Other values (12) 12
26.7%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
7 2
15.4%
8 2
15.4%
9 2
15.4%
4 1
 
7.7%
6 1
 
7.7%
2 1
 
7.7%
5 1
 
7.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45
60.8%
Common 29
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 7
15.6%
해 4
 
8.9%
상 4
 
8.9%
경 3
 
6.7%
도 3
 
6.7%
군 3
 
6.7%
면 3
 
6.7%
로 3
 
6.7%
선 2
 
4.4%
아 1
 
2.2%
Other values (12) 12
26.7%
Common
ValueCountFrequency (%)
13
44.8%
1 3
 
10.3%
7 2
 
6.9%
8 2
 
6.9%
9 2
 
6.9%
) 1
 
3.4%
, 1
 
3.4%
4 1
 
3.4%
( 1
 
3.4%
6 1
 
3.4%
Other values (2) 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45
60.8%
ASCII 29
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
44.8%
1 3
 
10.3%
7 2
 
6.9%
8 2
 
6.9%
9 2
 
6.9%
) 1
 
3.4%
, 1
 
3.4%
4 1
 
3.4%
( 1
 
3.4%
6 1
 
3.4%
Other values (2) 2
 
6.9%
Hangul
ValueCountFrequency (%)
남 7
15.6%
해 4
 
8.9%
상 4
 
8.9%
경 3
 
6.7%
도 3
 
6.7%
군 3
 
6.7%
면 3
 
6.7%
로 3
 
6.7%
선 2
 
4.4%
아 1
 
2.2%
Other values (12) 12
26.7%

소재지지번주소
Text

Distinct153
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:44:35.696981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length21.664773
Min length17

Characters and Unicode

Total characters3813
Distinct characters88
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)73.9%

Sample

1st row경상남도 남해군 창선면 가인리 151-1
2nd row경상남도 남해군 창선면 가인리 420-4
3rd row경상남도 남해군 창선면 가인리 615-104
4th row경상남도 남해군 창선면 가인리 산173-1
5th row경상남도 남해군 창선면 지족리 696-4
ValueCountFrequency (%)
경상남도 176
20.1%
남해군 169
19.3%
창선면 57
 
6.5%
남면 37
 
4.2%
삼동면 22
 
2.5%
서면 17
 
1.9%
설천면 13
 
1.5%
서상리 12
 
1.4%
광천리 10
 
1.1%
대벽리 9
 
1.0%
Other values (200) 355
40.5%
2023-12-11T09:44:36.306880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
18.4%
남 388
 
10.2%
상 204
 
5.4%
도 186
 
4.9%
경 176
 
4.6%
리 176
 
4.6%
면 173
 
4.5%
해 172
 
4.5%
군 169
 
4.4%
- 159
 
4.2%
Other values (78) 1309
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2219
58.2%
Decimal Number 734
 
19.2%
Space Separator 701
 
18.4%
Dash Punctuation 159
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 388
17.5%
상 204
9.2%
도 186
8.4%
경 176
 
7.9%
리 176
 
7.9%
면 173
 
7.8%
해 172
 
7.8%
군 169
 
7.6%
선 60
 
2.7%
창 57
 
2.6%
Other values (66) 458
20.6%
Decimal Number
ValueCountFrequency (%)
1 132
18.0%
2 115
15.7%
3 94
12.8%
4 80
10.9%
5 58
7.9%
0 56
7.6%
6 53
7.2%
8 53
7.2%
7 47
 
6.4%
9 46
 
6.3%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2219
58.2%
Common 1594
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 388
17.5%
상 204
9.2%
도 186
8.4%
경 176
 
7.9%
리 176
 
7.9%
면 173
 
7.8%
해 172
 
7.8%
군 169
 
7.6%
선 60
 
2.7%
창 57
 
2.6%
Other values (66) 458
20.6%
Common
ValueCountFrequency (%)
701
44.0%
- 159
 
10.0%
1 132
 
8.3%
2 115
 
7.2%
3 94
 
5.9%
4 80
 
5.0%
5 58
 
3.6%
0 56
 
3.5%
6 53
 
3.3%
8 53
 
3.3%
Other values (2) 93
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2219
58.2%
ASCII 1594
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
44.0%
- 159
 
10.0%
1 132
 
8.3%
2 115
 
7.2%
3 94
 
5.9%
4 80
 
5.0%
5 58
 
3.6%
0 56
 
3.5%
6 53
 
3.3%
8 53
 
3.3%
Other values (2) 93
 
5.8%
Hangul
ValueCountFrequency (%)
남 388
17.5%
상 204
9.2%
도 186
8.4%
경 176
 
7.9%
리 176
 
7.9%
면 173
 
7.8%
해 172
 
7.8%
군 169
 
7.6%
선 60
 
2.7%
창 57
 
2.6%
Other values (66) 458
20.6%

설치장소
Text

Distinct81
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:44:36.611478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.1647727
Min length3

Characters and Unicode

Total characters733
Distinct characters92
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)16.5%

Sample

1st row가인마을
2nd row고두마을
3rd row식포마을
4th row식포마을
5th row신흥마을
ValueCountFrequency (%)
대벽마을 6
 
3.3%
장포마을 6
 
3.3%
서상마을 5
 
2.8%
사포마을 5
 
2.8%
광천마을 5
 
2.8%
단항마을 5
 
2.8%
덕월마을 5
 
2.8%
장항마을 4
 
2.2%
지족마을 4
 
2.2%
율도마을 4
 
2.2%
Other values (74) 131
72.8%
2023-12-11T09:44:37.079247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 173
23.6%
을 172
23.5%
대 16
 
2.2%
포 15
 
2.0%
리 12
 
1.6%
구 12
 
1.6%
지 12
 
1.6%
곡 11
 
1.5%
장 10
 
1.4%
벽 9
 
1.2%
Other values (82) 291
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 720
98.2%
Decimal Number 9
 
1.2%
Space Separator 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 173
24.0%
을 172
23.9%
대 16
 
2.2%
포 15
 
2.1%
리 12
 
1.7%
구 12
 
1.7%
지 12
 
1.7%
곡 11
 
1.5%
장 10
 
1.4%
벽 9
 
1.2%
Other values (79) 278
38.6%
Decimal Number
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
98.2%
Common 13
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 173
24.0%
을 172
23.9%
대 16
 
2.2%
포 15
 
2.1%
리 12
 
1.7%
구 12
 
1.7%
지 12
 
1.7%
곡 11
 
1.5%
장 10
 
1.4%
벽 9
 
1.2%
Other values (79) 278
38.6%
Common
ValueCountFrequency (%)
2 7
53.8%
4
30.8%
1 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 720
98.2%
ASCII 13
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 173
24.0%
을 172
23.9%
대 16
 
2.2%
포 15
 
2.1%
리 12
 
1.7%
구 12
 
1.7%
지 12
 
1.7%
곡 11
 
1.5%
장 10
 
1.4%
벽 9
 
1.2%
Other values (79) 278
38.6%
ASCII
ValueCountFrequency (%)
2 7
53.8%
4
30.8%
1 2
 
15.4%

과속방지턱재료
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
176 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 176
100.0%

Length

2023-12-11T09:44:37.252937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:37.358251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 176
100.0%

과속방지턱형태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
176 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 176
100.0%

Length

2023-12-11T09:44:37.477633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:37.594674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 176
100.0%

과속방지턱높이
Real number (ℝ)

Distinct10
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8323864
Minimum3
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:44:37.740381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.5
Q18
median10
Q310
95-th percentile10
Maximum20
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7638538
Coefficient of variation (CV)0.31292266
Kurtosis3.4683884
Mean8.8323864
Median Absolute Deviation (MAD)0
Skewness0.19927573
Sum1554.5
Variance7.638888
MonotonicityNot monotonic
2023-12-11T09:44:37.857197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10.0 126
71.6%
5.0 18
 
10.2%
3.5 11
 
6.2%
4.0 6
 
3.4%
7.0 4
 
2.3%
6.0 3
 
1.7%
8.0 3
 
1.7%
20.0 3
 
1.7%
9.0 1
 
0.6%
3.0 1
 
0.6%
ValueCountFrequency (%)
3.0 1
 
0.6%
3.5 11
 
6.2%
4.0 6
 
3.4%
5.0 18
 
10.2%
6.0 3
 
1.7%
7.0 4
 
2.3%
8.0 3
 
1.7%
9.0 1
 
0.6%
10.0 126
71.6%
20.0 3
 
1.7%
ValueCountFrequency (%)
20.0 3
 
1.7%
10.0 126
71.6%
9.0 1
 
0.6%
8.0 3
 
1.7%
7.0 4
 
2.3%
6.0 3
 
1.7%
5.0 18
 
10.2%
4.0 6
 
3.4%
3.5 11
 
6.2%
3.0 1
 
0.6%

과속방지턱폭
Real number (ℝ)

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.70455
Minimum100
Maximum620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:44:37.987779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile300
Q1300
median360
Q3400
95-th percentile412.5
Maximum620
Range520
Interquartile range (IQR)100

Descriptive statistics

Standard deviation60.175393
Coefficient of variation (CV)0.1735639
Kurtosis4.8286947
Mean346.70455
Median Absolute Deviation (MAD)40
Skewness0.08475459
Sum61020
Variance3621.0779
MonotonicityNot monotonic
2023-12-11T09:44:38.100498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
300 55
31.2%
360 48
27.3%
400 34
19.3%
350 10
 
5.7%
200 7
 
4.0%
420 6
 
3.4%
390 3
 
1.7%
340 3
 
1.7%
380 2
 
1.1%
410 2
 
1.1%
Other values (6) 6
 
3.4%
ValueCountFrequency (%)
100 1
 
0.6%
200 7
 
4.0%
300 55
31.2%
320 1
 
0.6%
340 3
 
1.7%
350 10
 
5.7%
360 48
27.3%
370 1
 
0.6%
380 2
 
1.1%
390 3
 
1.7%
ValueCountFrequency (%)
620 1
 
0.6%
600 1
 
0.6%
440 1
 
0.6%
420 6
 
3.4%
410 2
 
1.1%
400 34
19.3%
390 3
 
1.7%
380 2
 
1.1%
370 1
 
0.6%
360 48
27.3%

과속방지턱연장
Real number (ℝ)

Distinct25
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean624.60227
Minimum200
Maximum1300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:44:38.213320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile500
Q1600
median600
Q3650
95-th percentile800
Maximum1300
Range1100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation110.5253
Coefficient of variation (CV)0.17695308
Kurtosis9.3470671
Mean624.60227
Median Absolute Deviation (MAD)0
Skewness1.5793458
Sum109930
Variance12215.841
MonotonicityNot monotonic
2023-12-11T09:44:38.339389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
600 101
57.4%
800 17
 
9.7%
500 14
 
8.0%
650 6
 
3.4%
400 4
 
2.3%
700 4
 
2.3%
730 3
 
1.7%
780 3
 
1.7%
530 2
 
1.1%
610 2
 
1.1%
Other values (15) 20
 
11.4%
ValueCountFrequency (%)
200 1
 
0.6%
400 4
 
2.3%
500 14
 
8.0%
510 1
 
0.6%
520 1
 
0.6%
530 2
 
1.1%
550 1
 
0.6%
570 1
 
0.6%
590 1
 
0.6%
600 101
57.4%
ValueCountFrequency (%)
1300 1
 
0.6%
1000 2
 
1.1%
800 17
9.7%
780 3
 
1.7%
730 3
 
1.7%
710 2
 
1.1%
700 4
 
2.3%
690 1
 
0.6%
680 2
 
1.1%
670 2
 
1.1%

도로유형구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
176 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 176
100.0%

Length

2023-12-11T09:44:38.455884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:38.564473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 176
100.0%

규격여부
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
False
128 
True
48 
ValueCountFrequency (%)
False 128
72.7%
True 48
 
27.3%
2023-12-11T09:44:38.660500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct172
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.826495
Minimum34.70668
Maximum34.94598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:44:38.802282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.70668
5-th percentile34.723223
Q134.781828
median34.826757
Q334.876327
95-th percentile34.915826
Maximum34.94598
Range0.23929989
Interquartile range (IQR)0.0944994

Descriptive statistics

Standard deviation0.060776433
Coefficient of variation (CV)0.0017451206
Kurtosis-0.93779157
Mean34.826495
Median Absolute Deviation (MAD)0.0465323
Skewness-0.089141039
Sum6129.4632
Variance0.0036937748
MonotonicityNot monotonic
2023-12-11T09:44:38.963058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.925623 2
 
1.1%
34.7818276 2
 
1.1%
34.840702 2
 
1.1%
34.869562 2
 
1.1%
34.88312658 1
 
0.6%
34.80839664 1
 
0.6%
34.89724516 1
 
0.6%
34.89719125 1
 
0.6%
34.89621619 1
 
0.6%
34.80366461 1
 
0.6%
Other values (162) 162
92.0%
ValueCountFrequency (%)
34.70668002 1
0.6%
34.70715835 1
0.6%
34.714613 1
0.6%
34.71524 1
0.6%
34.718461 1
0.6%
34.719238 1
0.6%
34.72036848 1
0.6%
34.72164882 1
0.6%
34.72209337 1
0.6%
34.7236 1
0.6%
ValueCountFrequency (%)
34.94597991 1
0.6%
34.94121945 1
0.6%
34.94110054 1
0.6%
34.938349 1
0.6%
34.93006984 1
0.6%
34.925623 2
1.1%
34.925325 1
0.6%
34.91688776 1
0.6%
34.91547271 1
0.6%
34.9151797 1
0.6%

경도
Real number (ℝ)

Distinct172
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.94493
Minimum127.83539
Maximum128.06139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T09:44:39.132180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.83539
5-th percentile127.83894
Q1127.87223
median127.965
Q3128.00201
95-th percentile128.04537
Maximum128.06139
Range0.2260054
Interquartile range (IQR)0.12978177

Descriptive statistics

Standard deviation0.071078624
Coefficient of variation (CV)0.00055554077
Kurtosis-1.4729207
Mean127.94493
Median Absolute Deviation (MAD)0.06369815
Skewness-0.060833893
Sum22518.307
Variance0.0050521708
MonotonicityNot monotonic
2023-12-11T09:44:39.271155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.914223 2
 
1.1%
127.861338 2
 
1.1%
127.883488 2
 
1.1%
128.0426363 2
 
1.1%
128.0497873 1
 
0.6%
127.8377329 1
 
0.6%
127.8742146 1
 
0.6%
127.8743898 1
 
0.6%
127.8729689 1
 
0.6%
127.8686174 1
 
0.6%
Other values (162) 162
92.0%
ValueCountFrequency (%)
127.8353891 1
0.6%
127.835473 1
0.6%
127.837202 1
0.6%
127.8376792 1
0.6%
127.8377329 1
0.6%
127.838797 1
0.6%
127.838827 1
0.6%
127.838895 1
0.6%
127.838915 1
0.6%
127.838946 1
0.6%
ValueCountFrequency (%)
128.0613945 1
0.6%
128.060673 1
0.6%
128.0603484 1
0.6%
128.0597697 1
0.6%
128.0596506 1
0.6%
128.0596065 1
0.6%
128.054275 1
0.6%
128.0505535 1
0.6%
128.0497873 1
0.6%
128.043902 1
0.6%

보차분리여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
True
176 
ValueCountFrequency (%)
True 176
100.0%
2023-12-11T09:44:39.414249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

연속형여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
False
176 
ValueCountFrequency (%)
False 176
100.0%
2023-12-11T09:44:39.520498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

과속방지턱설치연도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
166 
2022
 
10

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 166
94.3%
2022 10
 
5.7%

Length

2023-12-11T09:44:39.639895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:39.750438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
94.3%
2022 10
 
5.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경상남도 남해군
176 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 남해군
2nd row경상남도 남해군
3rd row경상남도 남해군
4th row경상남도 남해군
5th row경상남도 남해군

Common Values

ValueCountFrequency (%)
경상남도 남해군 176
100.0%

Length

2023-12-11T09:44:39.967900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:40.062702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 176
50.0%
남해군 176
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
055-860-3316
176 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-860-3316
2nd row055-860-3316
3rd row055-860-3316
4th row055-860-3316
5th row055-860-3316

Common Values

ValueCountFrequency (%)
055-860-3316 176
100.0%

Length

2023-12-11T09:44:40.176111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:40.295229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-860-3316 176
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-01-10
176 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-10
2nd row2023-01-10
3rd row2023-01-10
4th row2023-01-10
5th row2023-01-10

Common Values

ValueCountFrequency (%)
2023-01-10 176
100.0%

Length

2023-12-11T09:44:40.416251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:40.538243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-10 176
100.0%

Sample

과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부과속방지턱설치연도관리기관명관리기관전화번호데이터기준일자
0148경상남도남해군흥선로<NA>경상남도 남해군 창선면 가인리 151-1가인마을1110.03006001N34.883127128.049787YN<NA>경상남도 남해군055-860-33162023-01-10
1147경상남도남해군흥선로<NA>경상남도 남해군 창선면 가인리 420-4고두마을1110.03006001N34.888224128.038412YN<NA>경상남도 남해군055-860-33162023-01-10
2146경상남도남해군흥선로<NA>경상남도 남해군 창선면 가인리 615-104식포마을1110.03006001N34.877176128.023355YN<NA>경상남도 남해군055-860-33162023-01-10
3145경상남도남해군흥선로<NA>경상남도 남해군 창선면 가인리 산173-1식포마을1110.03006001N34.876906128.0231YN<NA>경상남도 남해군055-860-33162023-01-10
4144경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 696-4신흥마을1110.03006001N34.845282127.975637YN<NA>경상남도 남해군055-860-33162023-01-10
5143경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 832-1신흥마을1110.03006001N34.855259127.96499YN<NA>경상남도 남해군055-860-33162023-01-10
6142경상남도남해군서부로<NA>경상남도 남해군 창선면 광천리 434-3사포마을1110.03006001N34.855259127.964993YN<NA>경상남도 남해군055-860-33162023-01-10
7141경상남도남해군서부로<NA>경상남도 남해군 창선면 광천리 1023사포마을1110.03006001N34.859635127.964937YN<NA>경상남도 남해군055-860-33162023-01-10
8140경상남도남해군서부로<NA>경상남도 남해군 창선면 광천리 1023사포마을1110.03006001N34.859135127.96498YN<NA>경상남도 남해군055-860-33162023-01-10
9139경상남도남해군서부로<NA>경상남도 남해군 창선면 광천리 789-4광천마을1110.03006001N34.867204127.965712YN<NA>경상남도 남해군055-860-33162023-01-10
과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부과속방지턱설치연도관리기관명관리기관전화번호데이터기준일자
166158경상남도남해군흥선로<NA>경상남도 남해군 창선면 진동리 603-1장포마을1110.03006001N34.84599128.05977YN<NA>경상남도 남해군055-860-33162023-01-10
167157경상남도남해군흥선로<NA>경상남도 남해군 창선면 진동리 585장포마을1110.03005001N34.844871128.060348YN<NA>경상남도 남해군055-860-33162023-01-10
168156경상남도남해군흥선로<NA>경상남도 남해군 창선면 진동리 576-3장포마을1110.03004001N34.844206128.061395YN<NA>경상남도 남해군055-860-33162023-01-10
169155경상남도남해군흥선로<NA>경상남도 남해군 창선면 진동리 290-2장포마을1120.020013001N34.84031128.060673YN<NA>경상남도 남해군055-860-33162023-01-10
170154경상남도남해군흥선로<NA>경상남도 남해군 창선면 부윤리 70-4부윤2리마을1110.03006001N34.84343128.03511YN<NA>경상남도 남해군055-860-33162023-01-10
171153경상남도남해군흥선로<NA>경상남도 남해군 창선면 부윤리 78-8부윤2리마을1110.03006001N34.843998128.034345YN<NA>경상남도 남해군055-860-33162023-01-10
172152경상남도남해군흥선로<NA>경상남도 남해군 창선면 부윤리 357부윤2리마을1110.03006001N34.844197128.033033YN<NA>경상남도 남해군055-860-33162023-01-10
173151경상남도남해군흥선로<NA>경상남도 남해군 창선면 부윤리 665-1죽산마을1110.03006001N34.850846128.022052YN<NA>경상남도 남해군055-860-33162023-01-10
174150경상남도남해군흥선로<NA>경상남도 남해군 창선면 부윤리 703-2부윤1리 마을1110.03006001N34.852935128.020964YN<NA>경상남도 남해군055-860-33162023-01-10
175149경상남도남해군흥선로<NA>경상남도 남해군 창선면 가인리 152-7가인마을1110.03006001N34.883721128.050554YN<NA>경상남도 남해군055-860-33162023-01-10