Overview

Dataset statistics

Number of variables27
Number of observations124
Missing cells259
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.8 KiB
Average record size in memory221.1 B

Variable types

Numeric4
Categorical14
Text3
Boolean4
DateTime2

Dataset

Description보령시에 설치되어 운영중인 신호등 현황에 대한 데이터 입니다. (도로노선명, 설치장소, 위경도, 신호기설치방식, 도로형태, 신호등구분, 광원종류, 신호제어방식, 신호시간결정방식, 점멸등운영시작 및 종료 시각, 보행자작동신호기유무, 잔여시간표시기유무, 시각장애인용 음향신호기유무 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=332&beforeMenuCd=DOM_000000201001001000&publicdatapk=15088183

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
신호기설치방식 has constant value ""Constant
주도로여부 has constant value ""Constant
신호등구분 has constant value ""Constant
광원종류 has constant value ""Constant
신호제어방식 has constant value ""Constant
신호시간결정방식 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로노선번호 has 56 (45.2%) missing valuesMissing
소재지도로명주소 has 112 (90.3%) missing valuesMissing
점멸등운영시작시각 has 88 (71.0%) missing valuesMissing
연번 has unique valuesUnique
설치장소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:06:08.026559
Analysis finished2024-01-09 22:06:08.450549
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T07:06:08.505696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.15
Q131.75
median62.5
Q393.25
95-th percentile117.85
Maximum124
Range123
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation35.939764
Coefficient of variation (CV)0.57503623
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31
Skewness0
Sum7750
Variance1291.6667
MonotonicityStrictly increasing
2024-01-10T07:06:08.616368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
80 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
충청남도
124 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 124
100.0%

Length

2024-01-10T07:06:08.714811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:08.786249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 124
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
보령시
124 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 124
100.0%

Length

2024-01-10T07:06:08.862016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:08.936397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 124
100.0%

도로종류
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
시도
56 
국도
54 
지방도
14 

Length

Max length3
Median length2
Mean length2.1129032
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시도
2nd row지방도
3rd row국도
4th row지방도
5th row국도

Common Values

ValueCountFrequency (%)
시도 56
45.2%
국도 54
43.5%
지방도 14
 
11.3%

Length

2024-01-10T07:06:09.010072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:09.090136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 56
45.2%
국도 54
43.5%
지방도 14
 
11.3%

도로노선번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)10.3%
Missing56
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean148.77941
Minimum21
Maximum617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T07:06:09.160145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q121
median36
Q340
95-th percentile610
Maximum617
Range596
Interquartile range (IQR)19

Descriptive statistics

Standard deviation236.37788
Coefficient of variation (CV)1.5887809
Kurtosis0.21518097
Mean148.77941
Median Absolute Deviation (MAD)15
Skewness1.4843412
Sum10117
Variance55874.503
MonotonicityNot monotonic
2024-01-10T07:06:09.237476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
21 26
21.0%
36 20
 
16.1%
40 8
 
6.5%
610 6
 
4.8%
606 5
 
4.0%
617 2
 
1.6%
607 1
 
0.8%
(Missing) 56
45.2%
ValueCountFrequency (%)
21 26
21.0%
36 20
16.1%
40 8
 
6.5%
606 5
 
4.0%
607 1
 
0.8%
610 6
 
4.8%
617 2
 
1.6%
ValueCountFrequency (%)
617 2
 
1.6%
610 6
 
4.8%
607 1
 
0.8%
606 5
 
4.0%
40 8
 
6.5%
36 20
16.1%
21 26
21.0%

도로노선명
Categorical

Distinct33
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
충서로
28 
대청로
20 
보령북로
13 
대천로
보령남로
Other values (28)
50 

Length

Max length6
Median length3
Mean length3.5967742
Min length3

Unique

Unique15 ?
Unique (%)12.1%

Sample

1st row열린바다로
2nd row무창포로
3rd row충서로
4th row무창포로
5th row충서로

Common Values

ValueCountFrequency (%)
충서로 28
22.6%
대청로 20
16.1%
보령북로 13
 
10.5%
대천로 7
 
5.6%
보령남로 6
 
4.8%
무창포로 4
 
3.2%
만수로 4
 
3.2%
한내로터리길 3
 
2.4%
충청수영로 3
 
2.4%
토정로 3
 
2.4%
Other values (23) 33
26.6%

Length

2024-01-10T07:06:09.334074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충서로 28
22.6%
대청로 20
16.1%
보령북로 13
 
10.5%
대천로 7
 
5.6%
보령남로 6
 
4.8%
무창포로 4
 
3.2%
만수로 4
 
3.2%
한내로터리길 3
 
2.4%
충청수영로 3
 
2.4%
토정로 3
 
2.4%
Other values (23) 33
26.6%
Distinct28
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
보령-청양
20 
보령-광천
15 
보령-남포
10 
대천-동대
보령-주교
Other values (23)
61 

Length

Max length8
Median length5
Mean length5.0806452
Min length4

Unique

Unique9 ?
Unique (%)7.3%

Sample

1st row무창포-독산
2nd row웅천-무창포
3rd row웅천-주산
4th row웅천-무창포
5th row웅천-주산

Common Values

ValueCountFrequency (%)
보령-청양 20
16.1%
보령-광천 15
12.1%
보령-남포 10
 
8.1%
대천-동대 9
 
7.3%
보령-주교 9
 
7.3%
웅천-주산 8
 
6.5%
대천-죽정 8
 
6.5%
웅천-무창포 4
 
3.2%
남포-웅천 4
 
3.2%
성주-미산 4
 
3.2%
Other values (18) 33
26.6%

Length

2024-01-10T07:06:09.435330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보령-청양 20
16.1%
보령-광천 15
12.1%
보령-남포 10
 
8.1%
대천-동대 9
 
7.3%
보령-주교 9
 
7.3%
웅천-주산 8
 
6.5%
대천-죽정 8
 
6.5%
웅천-무창포 4
 
3.2%
남포-웅천 4
 
3.2%
성주-미산 4
 
3.2%
Other values (18) 33
26.6%

설치장소
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:06:09.610910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length12.653226
Min length9

Characters and Unicode

Total characters1569
Distinct characters186
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)100.0%

Sample

1st row웅천읍 비체팰리스 앞
2nd row웅천읍 진등삼거리
3rd row웅천읍 대창1삼거리
4th row웅천읍 무창포IC앞
5th row웅천읍 대창사거리
ValueCountFrequency (%)
33
 
10.0%
대천3동 17
 
5.2%
대천1동 15
 
4.5%
웅천읍 14
 
4.2%
남포면 12
 
3.6%
청라면 11
 
3.3%
주교면 11
 
3.3%
주포면 9
 
2.7%
청소면 8
 
2.4%
대천2동 6
 
1.8%
Other values (166) 194
58.8%
2024-01-10T07:06:09.891381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
13.2%
79
 
5.0%
70
 
4.5%
69
 
4.4%
64
 
4.1%
56
 
3.6%
54
 
3.4%
46
 
2.9%
42
 
2.7%
1 38
 
2.4%
Other values (176) 844
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1141
72.7%
Space Separator 207
 
13.2%
Decimal Number 141
 
9.0%
Open Punctuation 20
 
1.3%
Dash Punctuation 20
 
1.3%
Close Punctuation 20
 
1.3%
Uppercase Letter 14
 
0.9%
Lowercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
6.9%
70
 
6.1%
69
 
6.0%
64
 
5.6%
56
 
4.9%
54
 
4.7%
46
 
4.0%
42
 
3.7%
37
 
3.2%
28
 
2.5%
Other values (147) 596
52.2%
Decimal Number
ValueCountFrequency (%)
1 38
27.0%
3 29
20.6%
2 20
14.2%
8 13
 
9.2%
4 9
 
6.4%
7 8
 
5.7%
6 7
 
5.0%
5 6
 
4.3%
0 6
 
4.3%
9 5
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
G 3
21.4%
L 3
21.4%
N 2
14.3%
K 1
 
7.1%
P 1
 
7.1%
U 1
 
7.1%
S 1
 
7.1%
I 1
 
7.1%
C 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
16.7%
l 1
16.7%
e 1
16.7%
f 1
16.7%
d 1
16.7%
b 1
16.7%
Space Separator
ValueCountFrequency (%)
207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1141
72.7%
Common 408
 
26.0%
Latin 20
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
6.9%
70
 
6.1%
69
 
6.0%
64
 
5.6%
56
 
4.9%
54
 
4.7%
46
 
4.0%
42
 
3.7%
37
 
3.2%
28
 
2.5%
Other values (147) 596
52.2%
Latin
ValueCountFrequency (%)
G 3
15.0%
L 3
15.0%
N 2
 
10.0%
s 1
 
5.0%
K 1
 
5.0%
P 1
 
5.0%
l 1
 
5.0%
U 1
 
5.0%
e 1
 
5.0%
f 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
207
50.7%
1 38
 
9.3%
3 29
 
7.1%
( 20
 
4.9%
- 20
 
4.9%
2 20
 
4.9%
) 20
 
4.9%
8 13
 
3.2%
4 9
 
2.2%
7 8
 
2.0%
Other values (4) 24
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1141
72.7%
ASCII 428
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
48.4%
1 38
 
8.9%
3 29
 
6.8%
( 20
 
4.7%
- 20
 
4.7%
2 20
 
4.7%
) 20
 
4.7%
8 13
 
3.0%
4 9
 
2.1%
7 8
 
1.9%
Other values (19) 44
 
10.3%
Hangul
ValueCountFrequency (%)
79
 
6.9%
70
 
6.1%
69
 
6.0%
64
 
5.6%
56
 
4.9%
54
 
4.7%
46
 
4.0%
42
 
3.7%
37
 
3.2%
28
 
2.5%
Other values (147) 596
52.2%
Distinct11
Distinct (%)91.7%
Missing112
Missing (%)90.3%
Memory size1.1 KiB
2024-01-10T07:06:10.038353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17.5
Mean length14.75
Min length9

Characters and Unicode

Total characters177
Distinct characters49
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

Unique10 ?
Unique (%)83.3%

Sample

1st row보령시 웅천읍 열린바다로 274-8
2nd row보령시 웅천읍 장터중앙길 133-12
3rd row보령시 웅천읍 충서로 1055
4th row보령시 웅천읍 충서로 1055
5th row보령시 웅천읍 방축길 131
ValueCountFrequency (%)
보령시 12
27.3%
웅천읍 5
 
11.4%
충서로 2
 
4.5%
1055 2
 
4.5%
주교면 2
 
4.5%
청라면 1
 
2.3%
동현로 1
 
2.3%
17-5 1
 
2.3%
구시2길 1
 
2.3%
199 1
 
2.3%
Other values (16) 16
36.4%
2024-01-10T07:06:10.278821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
18.1%
13
 
7.3%
13
 
7.3%
13
 
7.3%
1 12
 
6.8%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5 5
 
2.8%
Other values (39) 67
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
58.8%
Decimal Number 38
 
21.5%
Space Separator 32
 
18.1%
Dash Punctuation 3
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
12.5%
13
 
12.5%
13
 
12.5%
6
 
5.8%
6
 
5.8%
5
 
4.8%
5
 
4.8%
5
 
4.8%
3
 
2.9%
2
 
1.9%
Other values (27) 33
31.7%
Decimal Number
ValueCountFrequency (%)
1 12
31.6%
5 5
13.2%
3 5
13.2%
7 4
 
10.5%
9 3
 
7.9%
2 3
 
7.9%
8 2
 
5.3%
0 2
 
5.3%
6 1
 
2.6%
4 1
 
2.6%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
58.8%
Common 73
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
12.5%
13
 
12.5%
13
 
12.5%
6
 
5.8%
6
 
5.8%
5
 
4.8%
5
 
4.8%
5
 
4.8%
3
 
2.9%
2
 
1.9%
Other values (27) 33
31.7%
Common
ValueCountFrequency (%)
32
43.8%
1 12
 
16.4%
5 5
 
6.8%
3 5
 
6.8%
7 4
 
5.5%
9 3
 
4.1%
2 3
 
4.1%
- 3
 
4.1%
8 2
 
2.7%
0 2
 
2.7%
Other values (2) 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
58.8%
ASCII 73
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
43.8%
1 12
 
16.4%
5 5
 
6.8%
3 5
 
6.8%
7 4
 
5.5%
9 3
 
4.1%
2 3
 
4.1%
- 3
 
4.1%
8 2
 
2.7%
0 2
 
2.7%
Other values (2) 2
 
2.7%
Hangul
ValueCountFrequency (%)
13
 
12.5%
13
 
12.5%
13
 
12.5%
6
 
5.8%
6
 
5.8%
5
 
4.8%
5
 
4.8%
5
 
4.8%
3
 
2.9%
2
 
1.9%
Other values (27) 33
31.7%
Distinct113
Distinct (%)91.9%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-01-10T07:06:10.559954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length15.707317
Min length11

Characters and Unicode

Total characters1932
Distinct characters81
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

Unique108 ?
Unique (%)87.8%

Sample

1st row보령시 웅천읍 관당리 994
2nd row보령시 웅천읍 관당리 10-63
3rd row보령시 웅천읍 대창리 829-5
4th row보령시 웅천읍 구룡리 868-26
5th row보령시 웅천읍 대창리 728-7
ValueCountFrequency (%)
보령시 123
27.0%
웅천읍 16
 
3.5%
동대동 15
 
3.3%
대천동 14
 
3.1%
남포면 12
 
2.6%
청라면 11
 
2.4%
주교면 10
 
2.2%
청소면 8
 
1.8%
주포면 7
 
1.5%
1958 7
 
1.5%
Other values (162) 233
51.1%
2024-01-10T07:06:10.952794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
17.2%
127
 
6.6%
125
 
6.5%
123
 
6.4%
- 102
 
5.3%
85
 
4.4%
1 80
 
4.1%
67
 
3.5%
3 65
 
3.4%
2 64
 
3.3%
Other values (71) 761
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 994
51.4%
Decimal Number 503
26.0%
Space Separator 333
 
17.2%
Dash Punctuation 102
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
127
12.8%
125
12.6%
123
12.4%
85
 
8.6%
67
 
6.7%
56
 
5.6%
43
 
4.3%
39
 
3.9%
27
 
2.7%
20
 
2.0%
Other values (59) 282
28.4%
Decimal Number
ValueCountFrequency (%)
1 80
15.9%
3 65
12.9%
2 64
12.7%
4 53
10.5%
8 51
10.1%
6 47
9.3%
9 40
8.0%
7 40
8.0%
5 33
6.6%
0 30
 
6.0%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 994
51.4%
Common 938
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
127
12.8%
125
12.6%
123
12.4%
85
 
8.6%
67
 
6.7%
56
 
5.6%
43
 
4.3%
39
 
3.9%
27
 
2.7%
20
 
2.0%
Other values (59) 282
28.4%
Common
ValueCountFrequency (%)
333
35.5%
- 102
 
10.9%
1 80
 
8.5%
3 65
 
6.9%
2 64
 
6.8%
4 53
 
5.7%
8 51
 
5.4%
6 47
 
5.0%
9 40
 
4.3%
7 40
 
4.3%
Other values (2) 63
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 994
51.4%
ASCII 938
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
35.5%
- 102
 
10.9%
1 80
 
8.5%
3 65
 
6.9%
2 64
 
6.8%
4 53
 
5.7%
8 51
 
5.4%
6 47
 
5.0%
9 40
 
4.3%
7 40
 
4.3%
Other values (2) 63
 
6.7%
Hangul
ValueCountFrequency (%)
127
12.8%
125
12.6%
123
12.4%
85
 
8.6%
67
 
6.7%
56
 
5.6%
43
 
4.3%
39
 
3.9%
27
 
2.7%
20
 
2.0%
Other values (59) 282
28.4%

위도
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.3485
Minimum36.17976
Maximum36.49308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T07:06:11.069613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.17976
5-th percentile36.234193
Q136.306043
median36.35494
Q336.38735
95-th percentile36.46041
Maximum36.49308
Range0.31332
Interquartile range (IQR)0.0813075

Descriptive statistics

Standard deviation0.066783488
Coefficient of variation (CV)0.0018373107
Kurtosis-0.21041162
Mean36.3485
Median Absolute Deviation (MAD)0.040965
Skewness-0.26514913
Sum4507.214
Variance0.0044600343
MonotonicityNot monotonic
2024-01-10T07:06:11.183914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.23936 1
 
0.8%
36.29276 1
 
0.8%
36.35941 1
 
0.8%
36.35642 1
 
0.8%
36.35811 1
 
0.8%
36.35895 1
 
0.8%
36.35512 1
 
0.8%
36.35079 1
 
0.8%
36.35742 1
 
0.8%
36.28661 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
36.17976 1
0.8%
36.19957 1
0.8%
36.20993 1
0.8%
36.22779 1
0.8%
36.22823 1
0.8%
36.23285 1
0.8%
36.23403 1
0.8%
36.23512 1
0.8%
36.23906 1
0.8%
36.23936 1
0.8%
ValueCountFrequency (%)
36.49308 1
0.8%
36.48138 1
0.8%
36.47703 1
0.8%
36.47643 1
0.8%
36.47109 1
0.8%
36.46886 1
0.8%
36.46092 1
0.8%
36.45752 1
0.8%
36.45434 1
0.8%
36.45032 1
0.8%

경도
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59963
Minimum126.50089
Maximum126.69621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T07:06:11.296551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.50089
5-th percentile126.52667
Q1126.58389
median126.6001
Q3126.61189
95-th percentile126.67056
Maximum126.69621
Range0.19532
Interquartile range (IQR)0.0280025

Descriptive statistics

Standard deviation0.036700948
Coefficient of variation (CV)0.00028989775
Kurtosis1.0606056
Mean126.59963
Median Absolute Deviation (MAD)0.01465
Skewness-0.080881564
Sum15698.354
Variance0.0013469596
MonotonicityNot monotonic
2024-01-10T07:06:11.410674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.53263 1
 
0.8%
126.67661 1
 
0.8%
126.60224 1
 
0.8%
126.60507 1
 
0.8%
126.60467 1
 
0.8%
126.60306 1
 
0.8%
126.60361 1
 
0.8%
126.60091 1
 
0.8%
126.60619 1
 
0.8%
126.63549 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
126.50089 1
0.8%
126.50412 1
0.8%
126.50506 1
0.8%
126.51234 1
0.8%
126.52297 1
0.8%
126.52473 1
0.8%
126.52591 1
0.8%
126.53101 1
0.8%
126.53263 1
0.8%
126.54073 1
0.8%
ValueCountFrequency (%)
126.69621 1
0.8%
126.68993 1
0.8%
126.67661 1
0.8%
126.67579 1
0.8%
126.67526 1
0.8%
126.67346 1
0.8%
126.67247 1
0.8%
126.65974 1
0.8%
126.65684 1
0.8%
126.65383 1
0.8%

신호기설치방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
중앙주식
124 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중앙주식 124
100.0%

Length

2024-01-10T07:06:11.512575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:11.588145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중앙주식 124
100.0%

도로형태
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
삼거리
64 
사거리
36 
단일로
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삼거리
2nd row삼거리
3rd row삼거리
4th row삼거리
5th row사거리

Common Values

ValueCountFrequency (%)
삼거리 64
51.6%
사거리 36
29.0%
단일로 24
 
19.4%

Length

2024-01-10T07:06:11.660398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:11.733669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼거리 64
51.6%
사거리 36
29.0%
단일로 24
 
19.4%

주도로여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size256.0 B
True
124 
ValueCountFrequency (%)
True 124
100.0%
2024-01-10T07:06:11.799942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신호등구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
차량등
124 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차량등 124
100.0%

Length

2024-01-10T07:06:11.891962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:11.989295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차량등 124
100.0%

광원종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
LED
124 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
LED 124
100.0%

Length

2024-01-10T07:06:12.073525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:12.141797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
led 124
100.0%

신호제어방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
현장
124 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현장 124
100.0%

Length

2024-01-10T07:06:12.214581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:12.287274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현장 124
100.0%

신호시간결정방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
고정시간제어
124 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고정시간제어 124
100.0%

Length

2024-01-10T07:06:12.359864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:12.431392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정시간제어 124
100.0%
Distinct2
Distinct (%)5.6%
Missing88
Missing (%)71.0%
Memory size1.1 KiB
Minimum2024-01-10 00:00:00
Maximum2024-01-10 18:00:00
2024-01-10T07:06:12.484353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:12.557749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
88 
24:00:00
35 
08:00:00
 
1

Length

Max length8
Median length4
Mean length5.1612903
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row24:00:00
2nd row24:00:00
3rd row24:00:00
4th row24:00:00
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 88
71.0%
24:00:00 35
 
28.2%
08:00:00 1
 
0.8%

Length

2024-01-10T07:06:12.660131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:12.744648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
71.0%
24:00:00 35
 
28.2%
08:00:00 1
 
0.8%
Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size256.0 B
False
103 
True
21 
ValueCountFrequency (%)
False 103
83.1%
True 21
 
16.9%
2024-01-10T07:06:12.813841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)1.6%
Missing1
Missing (%)0.8%
Memory size380.0 B
True
67 
False
56 
(Missing)
 
1
ValueCountFrequency (%)
True 67
54.0%
False 56
45.2%
(Missing) 1
 
0.8%
2024-01-10T07:06:12.901462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)1.6%
Missing1
Missing (%)0.8%
Memory size380.0 B
False
82 
True
41 
(Missing)
 
1
ValueCountFrequency (%)
False 82
66.1%
True 41
33.1%
(Missing) 1
 
0.8%
2024-01-10T07:06:12.986783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
보령시청
124 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시청 124
100.0%

Length

2024-01-10T07:06:13.092056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:13.184733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시청 124
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
041-930-3982
124 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-930-3982
2nd row041-930-3982
3rd row041-930-3982
4th row041-930-3982
5th row041-930-3982

Common Values

ValueCountFrequency (%)
041-930-3982 124
100.0%

Length

2024-01-10T07:06:13.515912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:13.584505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-930-3982 124
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2021-09-13 00:00:00
Maximum2021-09-13 00:00:00
2024-01-10T07:06:13.645986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:13.717462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번시도명시군구명도로종류도로노선번호도로노선명도로노선방향설치장소소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등구분광원종류신호제어방식신호시간결정방식점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무관리기관명관리기관전화번호데이터기준일자
01충청남도보령시시도<NA>열린바다로무창포-독산웅천읍 비체팰리스 앞보령시 웅천읍 열린바다로 274-8보령시 웅천읍 관당리 99436.23936126.53263중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNN보령시청041-930-39822021-09-13
12충청남도보령시지방도606무창포로웅천-무창포웅천읍 진등삼거리<NA>보령시 웅천읍 관당리 10-6336.24657126.55901중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNN보령시청041-930-39822021-09-13
23충청남도보령시국도21충서로웅천-주산웅천읍 대창1삼거리<NA>보령시 웅천읍 대창리 829-536.22823126.60275중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNN보령시청041-930-39822021-09-13
34충청남도보령시지방도606무창포로웅천-무창포웅천읍 무창포IC앞<NA>보령시 웅천읍 구룡리 868-2636.24612126.56886중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNN보령시청041-930-39822021-09-13
45충청남도보령시국도21충서로웅천-주산웅천읍 대창사거리보령시 웅천읍 장터중앙길 133-12보령시 웅천읍 대창리 728-736.23285126.59866중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>NNN보령시청041-930-39822021-09-13
56충청남도보령시국도21충서로웅천-주산웅천읍 웅천초등학교보령시 웅천읍 충서로 1055보령시 웅천읍 대천리 20736.24008126.59243중앙주식단일로Y차량등LED현장고정시간제어00:0024:00:00YYN보령시청041-930-39822021-09-13
67충청남도보령시국도21충서로웅천-주산웅천읍 웅천교삼거리<NA>보령시 웅천읍 대천리 29-236.23906126.59551중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNN보령시청041-930-39822021-09-13
78충청남도보령시국도21충서로웅천-주산웅천읍 대천리삼거리보령시 웅천읍 충서로 1055보령시 웅천읍 대천리 20736.24141126.59135중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>NNN보령시청041-930-39822021-09-13
89충청남도보령시국도21충서로남포-웅천웅천읍 충혼탑교차로<NA>보령시 웅천읍 두룡리 1-336.27644126.59548중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YNN보령시청041-930-39822021-09-13
910충청남도보령시국도21충서로남포-웅천웅천읍 두룡1교차로<NA>보령시 웅천읍 두룡리 33-336.26886126.59051중앙주식삼거리Y차량등LED현장고정시간제어18:0008:00:00YNN보령시청041-930-39822021-09-13
연번시도명시군구명도로종류도로노선번호도로노선명도로노선방향설치장소소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등구분광원종류신호제어방식신호시간결정방식점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무관리기관명관리기관전화번호데이터기준일자
114115충청남도보령시시도<NA>보령북로대천-동대대천3동 한내대교 앞(동대동 744-8)<NA>보령시 동대동 744-836.35005126.60209중앙주식단일로Y차량등LED현장고정시간제어<NA><NA>NYY보령시청041-930-39822021-09-13
115116충청남도보령시국도36대청로보령-청양대천3동 동대사거리<NA>보령시 동대동 195836.34852126.60439중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>NYY보령시청041-930-39822021-09-13
116117충청남도보령시국도36대청로보령-청양대천3동 대천아구복 앞(동대동 1402)<NA>보령시 동대동 195836.34991126.60578중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>NYN보령시청041-930-39822021-09-13
117118충청남도보령시국도36대청로보령-청양대천3동 황금코다리 앞(동대동 1156)<NA>보령시 동대동 195836.35087126.60668중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>NYN보령시청041-930-39822021-09-13
118119충청남도보령시국도36대청로보령-청양대천3동 신설사거리<NA>보령시 동대동 195836.35231126.60812중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>NYY보령시청041-930-39822021-09-13
119120충청남도보령시국도36대청로보령-청양대천3동 원평교차로(보령모텔 앞)보령시 동현로 3보령시 동대동 681-436.35476126.61046중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>NYN보령시청041-930-39822021-09-13
120121충청남도보령시국도36대청로보령-청양대천3동 행정복지센터 앞<NA>보령시 동대동 29236.35584126.61154중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>NYN보령시청041-930-39822021-09-13
121122충청남도보령시국도36대청로보령-청양대천3동 두러뫼교차로<NA>보령시 동대동 247-136.35747126.61345중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>NYN보령시청041-930-39822021-09-13
122123충청남도보령시국도36대청로보령-청양대천3동 SK LPG 앞(동대동 238-18)<NA>보령시 동대동 238-936.35907126.61604중앙주식단일로Y차량등LED현장고정시간제어<NA><NA>YYN보령시청041-930-39822021-09-13
123124충청남도보령시시도<NA>한내로터리길동대-명천대천3동 원평사거리<NA>보령시 동대동 349-636.34921126.61294중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>NNY보령시청041-930-39822021-09-13