Overview

Dataset statistics

Number of variables28
Number of observations230
Missing cells344
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.3 KiB
Average record size in memory228.6 B

Variable types

Numeric4
Categorical15
Text4
Boolean5

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)
URLhttps://www.data.go.kr/data/15088183/fileData.do

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
보행자신호등 유무 is highly imbalanced (58.9%)Imbalance
도로노선번호 has 123 (53.5%) missing valuesMissing
소재지도로명주소 has 217 (94.3%) missing valuesMissing
소재지지번주소 has 4 (1.7%) missing valuesMissing
연번 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:44:01.425339
Analysis finished2023-12-12 00:44:01.979498
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.5
Minimum1
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T09:44:02.074819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.45
Q158.25
median115.5
Q3172.75
95-th percentile218.55
Maximum230
Range229
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation66.539462
Coefficient of variation (CV)0.57609924
Kurtosis-1.2
Mean115.5
Median Absolute Deviation (MAD)57.5
Skewness0
Sum26565
Variance4427.5
MonotonicityStrictly increasing
2023-12-12T09:44:02.279739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (220) 220
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
충청남도
230 

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 230
100.0%

Length

2023-12-12T09:44:02.458216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:02.580450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 230
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
보령시
230 

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 230
100.0%

Length

2023-12-12T09:44:02.701547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:02.825807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 230
100.0%

도로종류
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
시도
122 
국도
89 
지방도
18 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0869565
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
시도 122
53.0%
국도 89
38.7%
지방도 18
 
7.8%
<NA> 1
 
0.4%

Length

2023-12-12T09:44:02.973207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:03.111473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 122
53.0%
국도 89
38.7%
지방도 18
 
7.8%
na 1
 
0.4%

도로노선번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)8.4%
Missing123
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean130.29907
Minimum21
Maximum617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T09:44:03.217927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q136
median36
Q340
95-th percentile610
Maximum617
Range596
Interquartile range (IQR)4

Descriptive statistics

Standard deviation216.50226
Coefficient of variation (CV)1.6615796
Kurtosis1.2452757
Mean130.29907
Median Absolute Deviation (MAD)4
Skewness1.7909655
Sum13942
Variance46873.23
MonotonicityNot monotonic
2023-12-12T09:44:03.339709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
36 49
 
21.3%
21 26
 
11.3%
40 11
 
4.8%
610 6
 
2.6%
606 5
 
2.2%
607 4
 
1.7%
77 3
 
1.3%
617 2
 
0.9%
609 1
 
0.4%
(Missing) 123
53.5%
ValueCountFrequency (%)
21 26
11.3%
36 49
21.3%
40 11
 
4.8%
77 3
 
1.3%
606 5
 
2.2%
607 4
 
1.7%
609 1
 
0.4%
610 6
 
2.6%
617 2
 
0.9%
ValueCountFrequency (%)
617 2
 
0.9%
610 6
 
2.6%
609 1
 
0.4%
607 4
 
1.7%
606 5
 
2.2%
77 3
 
1.3%
40 11
 
4.8%
36 49
21.3%
21 26
11.3%
Distinct55
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:44:03.594043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.6
Min length3

Characters and Unicode

Total characters828
Distinct characters85
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)9.1%

Sample

1st row열린바다로
2nd row무창포로
3rd row충서로
4th row무창포로
5th row충서로
ValueCountFrequency (%)
충서로 28
 
12.2%
대해로 24
 
10.4%
대청로 21
 
9.1%
보령남로 16
 
7.0%
보령북로 13
 
5.7%
성주산로 11
 
4.8%
대천항로 9
 
3.9%
주공로 8
 
3.5%
한내로터리길 7
 
3.0%
대천로 6
 
2.6%
Other values (45) 87
37.8%
2023-12-12T09:44:03.953259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
25.1%
71
 
8.6%
34
 
4.1%
32
 
3.9%
31
 
3.7%
30
 
3.6%
29
 
3.5%
29
 
3.5%
29
 
3.5%
28
 
3.4%
Other values (75) 307
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 825
99.6%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
208
25.2%
71
 
8.6%
34
 
4.1%
32
 
3.9%
31
 
3.8%
30
 
3.6%
29
 
3.5%
29
 
3.5%
29
 
3.5%
28
 
3.4%
Other values (74) 304
36.8%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 825
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
208
25.2%
71
 
8.6%
34
 
4.1%
32
 
3.9%
31
 
3.8%
30
 
3.6%
29
 
3.5%
29
 
3.5%
29
 
3.5%
28
 
3.4%
Other values (74) 304
36.8%
Common
ValueCountFrequency (%)
1 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 825
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
208
25.2%
71
 
8.6%
34
 
4.1%
32
 
3.9%
31
 
3.8%
30
 
3.6%
29
 
3.5%
29
 
3.5%
29
 
3.5%
28
 
3.4%
Other values (74) 304
36.8%
ASCII
ValueCountFrequency (%)
1 3
100.0%
Distinct37
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
보령-청양
25 
명천택지개발지구
23 
보령-대천해수욕장
20 
보령-남포
17 
보령-광천
15 
Other values (32)
130 

Length

Max length14
Median length5
Mean length5.9347826
Min length4

Unique

Unique10 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
보령-청양 25
 
10.9%
명천택지개발지구 23
 
10.0%
보령-대천해수욕장 20
 
8.7%
보령-남포 17
 
7.4%
보령-광천 15
 
6.5%
대천-죽정 11
 
4.8%
동대-명천 10
 
4.3%
대천-동대 10
 
4.3%
대천해수욕장-어항 9
 
3.9%
보령-주교 9
 
3.9%
Other values (27) 81
35.2%

Length

2023-12-12T09:44:04.097874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보령-청양 25
 
10.9%
명천택지개발지구 23
 
10.0%
보령-대천해수욕장 20
 
8.7%
보령-남포 17
 
7.4%
보령-광천 15
 
6.5%
대천-죽정 11
 
4.8%
동대-명천 10
 
4.3%
대천-동대 10
 
4.3%
대천해수욕장-어항 9
 
3.9%
보령-주교 9
 
3.9%
Other values (27) 81
35.2%

설치장소
Text

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:44:04.382322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length15.473913
Min length9

Characters and Unicode

Total characters3559
Distinct characters268
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)100.0%

Sample

1st row웅천읍 비체팰리스 앞
2nd row웅천읍 진등삼거리
3rd row웅천읍 대창1삼거리
4th row웅천읍 무창포IC앞
5th row웅천읍 대창사거리
ValueCountFrequency (%)
72
 
10.5%
대천4동 53
 
7.7%
대천5동 31
 
4.5%
대천3동 28
 
4.1%
명천동 26
 
3.8%
대천1동 15
 
2.2%
남포면 14
 
2.0%
웅천읍 14
 
2.0%
청라면 12
 
1.7%
주교면 11
 
1.6%
Other values (319) 411
59.8%
2023-12-12T09:44:04.891804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
 
12.9%
221
 
6.2%
213
 
6.0%
175
 
4.9%
1 103
 
2.9%
3 101
 
2.8%
97
 
2.7%
92
 
2.6%
4 90
 
2.5%
80
 
2.2%
Other values (258) 1929
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2359
66.3%
Decimal Number 505
 
14.2%
Space Separator 458
 
12.9%
Close Punctuation 71
 
2.0%
Open Punctuation 71
 
2.0%
Dash Punctuation 57
 
1.6%
Uppercase Letter 22
 
0.6%
Lowercase Letter 9
 
0.3%
Math Symbol 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
 
9.4%
213
 
9.0%
175
 
7.4%
97
 
4.1%
92
 
3.9%
80
 
3.4%
75
 
3.2%
68
 
2.9%
49
 
2.1%
47
 
2.0%
Other values (223) 1242
52.6%
Uppercase Letter
ValueCountFrequency (%)
L 5
22.7%
G 3
13.6%
B 2
 
9.1%
S 2
 
9.1%
N 2
 
9.1%
C 1
 
4.5%
I 1
 
4.5%
X 1
 
4.5%
T 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 103
20.4%
3 101
20.0%
4 90
17.8%
5 51
10.1%
2 51
10.1%
0 28
 
5.5%
8 25
 
5.0%
7 21
 
4.2%
6 18
 
3.6%
9 17
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
b 1
 
11.1%
d 1
 
11.1%
f 1
 
11.1%
l 1
 
11.1%
s 1
 
11.1%
Space Separator
ValueCountFrequency (%)
458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
> 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2359
66.3%
Common 1169
32.8%
Latin 31
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
 
9.4%
213
 
9.0%
175
 
7.4%
97
 
4.1%
92
 
3.9%
80
 
3.4%
75
 
3.2%
68
 
2.9%
49
 
2.1%
47
 
2.0%
Other values (223) 1242
52.6%
Latin
ValueCountFrequency (%)
L 5
16.1%
e 4
12.9%
G 3
 
9.7%
B 2
 
6.5%
S 2
 
6.5%
N 2
 
6.5%
C 1
 
3.2%
I 1
 
3.2%
b 1
 
3.2%
X 1
 
3.2%
Other values (9) 9
29.0%
Common
ValueCountFrequency (%)
458
39.2%
1 103
 
8.8%
3 101
 
8.6%
4 90
 
7.7%
) 71
 
6.1%
( 71
 
6.1%
- 57
 
4.9%
5 51
 
4.4%
2 51
 
4.4%
0 28
 
2.4%
Other values (6) 88
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2359
66.3%
ASCII 1200
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
38.2%
1 103
 
8.6%
3 101
 
8.4%
4 90
 
7.5%
) 71
 
5.9%
( 71
 
5.9%
- 57
 
4.8%
5 51
 
4.2%
2 51
 
4.2%
0 28
 
2.3%
Other values (25) 119
 
9.9%
Hangul
ValueCountFrequency (%)
221
 
9.4%
213
 
9.0%
175
 
7.4%
97
 
4.1%
92
 
3.9%
80
 
3.4%
75
 
3.2%
68
 
2.9%
49
 
2.1%
47
 
2.0%
Other values (223) 1242
52.6%
Distinct12
Distinct (%)92.3%
Missing217
Missing (%)94.3%
Memory size1.9 KiB
2023-12-12T09:44:05.145427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length14.769231
Min length9

Characters and Unicode

Total characters192
Distinct characters50
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

Unique11 ?
Unique (%)84.6%

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 13
27.7%
웅천읍 5
 
10.6%
충서로 2
 
4.3%
1055 2
 
4.3%
주교면 2
 
4.3%
원모루길 1
 
2.1%
동현로 1
 
2.1%
17-5 1
 
2.1%
구시2길 1
 
2.1%
199 1
 
2.1%
Other values (18) 18
38.3%
2023-12-12T09:44:05.509165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
17.7%
14
 
7.3%
14
 
7.3%
14
 
7.3%
1 13
 
6.8%
3 7
 
3.6%
6
 
3.1%
6
 
3.1%
6
 
3.1%
5
 
2.6%
Other values (40) 73
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
57.3%
Decimal Number 44
 
22.9%
Space Separator 34
 
17.7%
Dash Punctuation 4
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
12.7%
14
 
12.7%
14
 
12.7%
6
 
5.5%
6
 
5.5%
6
 
5.5%
5
 
4.5%
5
 
4.5%
3
 
2.7%
2
 
1.8%
Other values (28) 35
31.8%
Decimal Number
ValueCountFrequency (%)
1 13
29.5%
3 7
15.9%
5 5
 
11.4%
7 4
 
9.1%
2 4
 
9.1%
8 4
 
9.1%
9 3
 
6.8%
0 2
 
4.5%
6 1
 
2.3%
4 1
 
2.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
57.3%
Common 82
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
12.7%
14
 
12.7%
14
 
12.7%
6
 
5.5%
6
 
5.5%
6
 
5.5%
5
 
4.5%
5
 
4.5%
3
 
2.7%
2
 
1.8%
Other values (28) 35
31.8%
Common
ValueCountFrequency (%)
34
41.5%
1 13
 
15.9%
3 7
 
8.5%
5 5
 
6.1%
- 4
 
4.9%
7 4
 
4.9%
2 4
 
4.9%
8 4
 
4.9%
9 3
 
3.7%
0 2
 
2.4%
Other values (2) 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
57.3%
ASCII 82
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
41.5%
1 13
 
15.9%
3 7
 
8.5%
5 5
 
6.1%
- 4
 
4.9%
7 4
 
4.9%
2 4
 
4.9%
8 4
 
4.9%
9 3
 
3.7%
0 2
 
2.4%
Other values (2) 2
 
2.4%
Hangul
ValueCountFrequency (%)
14
 
12.7%
14
 
12.7%
14
 
12.7%
6
 
5.5%
6
 
5.5%
6
 
5.5%
5
 
4.5%
5
 
4.5%
3
 
2.7%
2
 
1.8%
Other values (28) 35
31.8%

소재지지번주소
Text

MISSING 

Distinct203
Distinct (%)89.8%
Missing4
Missing (%)1.7%
Memory size1.9 KiB
2023-12-12T09:44:05.868618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length14.539823
Min length11

Characters and Unicode

Total characters3286
Distinct characters91
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

Unique191 ?
Unique (%)84.5%

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 226
29.2%
명천동 41
 
5.3%
동대동 25
 
3.2%
신흑동 18
 
2.3%
웅천읍 16
 
2.1%
대천동 14
 
1.8%
남포면 14
 
1.8%
청라면 12
 
1.6%
궁촌동 10
 
1.3%
주교면 10
 
1.3%
Other values (260) 388
50.1%
2023-12-12T09:44:06.337125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
16.7%
230
 
7.0%
228
 
6.9%
226
 
6.9%
- 168
 
5.1%
1 165
 
5.0%
160
 
4.9%
3 146
 
4.4%
2 120
 
3.7%
4 99
 
3.0%
Other values (81) 1196
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1645
50.1%
Decimal Number 925
28.1%
Space Separator 548
 
16.7%
Dash Punctuation 168
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
230
14.0%
228
13.9%
226
13.7%
160
 
9.7%
94
 
5.7%
88
 
5.3%
76
 
4.6%
50
 
3.0%
41
 
2.5%
32
 
1.9%
Other values (69) 420
25.5%
Decimal Number
ValueCountFrequency (%)
1 165
17.8%
3 146
15.8%
2 120
13.0%
4 99
10.7%
8 75
8.1%
9 70
7.6%
6 69
7.5%
5 65
 
7.0%
7 62
 
6.7%
0 54
 
5.8%
Space Separator
ValueCountFrequency (%)
548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1645
50.1%
Common 1641
49.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
230
14.0%
228
13.9%
226
13.7%
160
 
9.7%
94
 
5.7%
88
 
5.3%
76
 
4.6%
50
 
3.0%
41
 
2.5%
32
 
1.9%
Other values (69) 420
25.5%
Common
ValueCountFrequency (%)
548
33.4%
- 168
 
10.2%
1 165
 
10.1%
3 146
 
8.9%
2 120
 
7.3%
4 99
 
6.0%
8 75
 
4.6%
9 70
 
4.3%
6 69
 
4.2%
5 65
 
4.0%
Other values (2) 116
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1645
50.1%
ASCII 1641
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
33.4%
- 168
 
10.2%
1 165
 
10.1%
3 146
 
8.9%
2 120
 
7.3%
4 99
 
6.0%
8 75
 
4.6%
9 70
 
4.3%
6 69
 
4.2%
5 65
 
4.0%
Other values (2) 116
 
7.1%
Hangul
ValueCountFrequency (%)
230
14.0%
228
13.9%
226
13.7%
160
 
9.7%
94
 
5.7%
88
 
5.3%
76
 
4.6%
50
 
3.0%
41
 
2.5%
32
 
1.9%
Other values (69) 420
25.5%

위도
Real number (ℝ)

Distinct225
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.343155
Minimum36.17976
Maximum36.49308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T09:44:06.470051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.17976
5-th percentile36.242445
Q136.32389
median36.34159
Q336.360025
95-th percentile36.427635
Maximum36.49308
Range0.31332
Interquartile range (IQR)0.036135

Descriptive statistics

Standard deviation0.050316065
Coefficient of variation (CV)0.0013844716
Kurtosis1.5697327
Mean36.343155
Median Absolute Deviation (MAD)0.01818
Skewness-0.03237366
Sum8358.9256
Variance0.0025317064
MonotonicityNot monotonic
2023-12-12T09:44:06.600884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.33361 2
 
0.9%
36.33527 2
 
0.9%
36.33871 2
 
0.9%
36.34395 2
 
0.9%
36.30465 2
 
0.9%
36.34491 1
 
0.4%
36.34778 1
 
0.4%
36.33779 1
 
0.4%
36.3344 1
 
0.4%
36.33206 1
 
0.4%
Other values (215) 215
93.5%
ValueCountFrequency (%)
36.17976 1
0.4%
36.19957 1
0.4%
36.20993 1
0.4%
36.22779 1
0.4%
36.22823 1
0.4%
36.23285 1
0.4%
36.23403 1
0.4%
36.23512 1
0.4%
36.23906 1
0.4%
36.23936 1
0.4%
ValueCountFrequency (%)
36.49308 1
0.4%
36.48138 1
0.4%
36.47703 1
0.4%
36.47643 1
0.4%
36.47109 1
0.4%
36.46886 1
0.4%
36.46092 1
0.4%
36.45752 1
0.4%
36.45434 1
0.4%
36.45032 1
0.4%

경도
Real number (ℝ)

Distinct229
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58937
Minimum126.41315
Maximum126.69621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T09:44:06.744321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.41315
5-th percentile126.51052
Q1126.58207
median126.59979
Q3126.60944
95-th percentile126.65366
Maximum126.69621
Range0.283062
Interquartile range (IQR)0.0273675

Descriptive statistics

Standard deviation0.045683981
Coefficient of variation (CV)0.00036088322
Kurtosis3.3039127
Mean126.58937
Median Absolute Deviation (MAD)0.01421
Skewness-1.2923361
Sum29115.556
Variance0.0020870261
MonotonicityNot monotonic
2023-12-12T09:44:06.870202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.61602 2
 
0.9%
126.53263 1
 
0.4%
126.61009 1
 
0.4%
126.59281 1
 
0.4%
126.5944 1
 
0.4%
126.59875 1
 
0.4%
126.59075 1
 
0.4%
126.58701 1
 
0.4%
126.59597 1
 
0.4%
126.58835 1
 
0.4%
Other values (219) 219
95.2%
ValueCountFrequency (%)
126.413148 1
0.4%
126.414443 1
0.4%
126.423258 1
0.4%
126.42701 1
0.4%
126.42709 1
0.4%
126.43274 1
0.4%
126.50089 1
0.4%
126.50412 1
0.4%
126.50506 1
0.4%
126.50856 1
0.4%
ValueCountFrequency (%)
126.69621 1
0.4%
126.68993 1
0.4%
126.67661 1
0.4%
126.67579 1
0.4%
126.67526 1
0.4%
126.67346 1
0.4%
126.67247 1
0.4%
126.6701 1
0.4%
126.65974 1
0.4%
126.65684 1
0.4%

신호기설치방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
중앙주식
230 

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 230
100.0%

Length

2023-12-12T09:44:06.993299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:07.308105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중앙주식 230
100.0%

도로형태
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
삼거리
115 
사거리
77 
단일로
38 

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 115
50.0%
사거리 77
33.5%
단일로 38
 
16.5%

Length

2023-12-12T09:44:07.381544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:07.462166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼거리 115
50.0%
사거리 77
33.5%
단일로 38
 
16.5%

주도로여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size362.0 B
True
230 
ValueCountFrequency (%)
True 230
100.0%
2023-12-12T09:44:07.544239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신호등구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
차량등
230 

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 230
100.0%

Length

2023-12-12T09:44:07.640688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:07.720879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차량등 230
100.0%

광원종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
LED
230 

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 230
100.0%

Length

2023-12-12T09:44:07.798956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:07.873366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
led 230
100.0%

신호제어방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
현장
230 

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 230
100.0%

Length

2023-12-12T09:44:07.960725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:08.041806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현장 230
100.0%

신호시간결정방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
고정시간제어
230 

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 230
100.0%

Length

2023-12-12T09:44:08.131717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:08.237279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정시간제어 230
100.0%
Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
173 
00:00
56 
18:00
 
1

Length

Max length5
Median length4
Mean length4.2478261
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 173
75.2%
00:00 56
 
24.3%
18:00 1
 
0.4%

Length

2023-12-12T09:44:08.370158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:08.458305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
75.2%
00:00 56
 
24.3%
18:00 1
 
0.4%
Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
173 
24:00:00
56 
08:00:00
 
1

Length

Max length8
Median length4
Mean length4.9913043
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 173
75.2%
24:00:00 56
 
24.3%
08:00:00 1
 
0.4%

Length

2023-12-12T09:44:08.576794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:08.673588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
75.2%
24:00:00 56
 
24.3%
08:00:00 1
 
0.4%

보행자신호등 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size362.0 B
True
211 
False
 
19
ValueCountFrequency (%)
True 211
91.7%
False 19
 
8.3%
2023-12-12T09:44:08.754215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size362.0 B
False
191 
True
39 
ValueCountFrequency (%)
False 191
83.0%
True 39
 
17.0%
2023-12-12T09:44:08.840933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size362.0 B
True
147 
False
83 
ValueCountFrequency (%)
True 147
63.9%
False 83
36.1%
2023-12-12T09:44:08.933633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size362.0 B
False
130 
True
100 
ValueCountFrequency (%)
False 130
56.5%
True 100
43.5%
2023-12-12T09:44:09.028230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
보령시청
230 

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 230
100.0%

Length

2023-12-12T09:44:09.128808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:09.209734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시청 230
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
041-930-3982
230 

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 230
100.0%

Length

2023-12-12T09:44:09.292633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:09.373667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-930-3982 230
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-08-17
230 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-17
2nd row2023-08-17
3rd row2023-08-17
4th row2023-08-17
5th row2023-08-17

Common Values

ValueCountFrequency (%)
2023-08-17 230
100.0%

Length

2023-12-12T09:44:09.459872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:44:09.542690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-17 230
100.0%

Sample

연번시도명시군구명도로종류도로노선번호도로노선명도로노선방향설치장소소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등구분광원종류신호제어방식신호시간결정방식점멸등운영시작시각점멸등운영종료시각보행자신호등 유무보행자작동신호기 유무잔여시간표시기 유무시각장애인용음향신호기 유무관리기관명관리기관전화번호데이터기준일자
01충청남도보령시시도<NA>열린바다로무창포-독산웅천읍 비체팰리스 앞보령시 웅천읍 열린바다로 274-8보령시 웅천읍 관당리 99436.23936126.53263중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YNNN보령시청041-930-39822023-08-17
12충청남도보령시지방도606무창포로웅천-무창포웅천읍 진등삼거리<NA>보령시 웅천읍 관당리 10-6336.24657126.55901중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNNN보령시청041-930-39822023-08-17
23충청남도보령시국도21충서로웅천-주산웅천읍 대창1삼거리<NA>보령시 웅천읍 대창리 829-536.22823126.60275중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YNNN보령시청041-930-39822023-08-17
34충청남도보령시지방도606무창포로웅천-무창포웅천읍 무창포IC앞<NA>보령시 웅천읍 구룡리 868-2636.24612126.56886중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00NNNN보령시청041-930-39822023-08-17
45충청남도보령시국도21충서로웅천-주산웅천읍 대창사거리보령시 웅천읍 장터중앙길 133-12보령시 웅천읍 대창리 728-736.23285126.59866중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>YNNN보령시청041-930-39822023-08-17
56충청남도보령시국도21충서로웅천-주산웅천읍 웅천초등학교보령시 웅천읍 충서로 1055보령시 웅천읍 대천리 20736.24008126.59243중앙주식단일로Y차량등LED현장고정시간제어00:0024:00:00YYYN보령시청041-930-39822023-08-17
67충청남도보령시국도21충서로웅천-주산웅천읍 웅천교삼거리<NA>보령시 웅천읍 대천리 29-236.23906126.59551중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YNNN보령시청041-930-39822023-08-17
78충청남도보령시국도21충서로웅천-주산웅천읍 대천리삼거리보령시 웅천읍 충서로 1055보령시 웅천읍 대천리 20736.24141126.59135중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>YNNN보령시청041-930-39822023-08-17
89충청남도보령시국도21충서로남포-웅천웅천읍 충혼탑교차로<NA>보령시 웅천읍 두룡리 1-336.27644126.59548중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YYYN보령시청041-930-39822023-08-17
910충청남도보령시국도21충서로남포-웅천웅천읍 두룡1교차로<NA>보령시 웅천읍 두룡리 33-336.26886126.59051중앙주식삼거리Y차량등LED현장고정시간제어18:0008:00:00YYYN보령시청041-930-39822023-08-17
연번시도명시군구명도로종류도로노선번호도로노선명도로노선방향설치장소소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등구분광원종류신호제어방식신호시간결정방식점멸등운영시작시각점멸등운영종료시각보행자신호등 유무보행자작동신호기 유무잔여시간표시기 유무시각장애인용음향신호기 유무관리기관명관리기관전화번호데이터기준일자
220221충청남도보령시국도36대천항로대천해수욕장-어항대천5동 행정복지센터 앞(신흑동 2323)<NA>보령시 신흑동 232336.31598126.51571중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YNYN보령시청041-930-39822023-08-17
221222충청남도보령시국도36대천항로대천해수욕장-어항대천5동 신흑소방서 앞<NA>보령시 신흑동 230936.31705126.51443중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>YNYN보령시청041-930-39822023-08-17
222223충청남도보령시국도36대천항로대천해수욕장-어항대천5동 해양과학고 앞<NA>보령시 신흑동 232236.31727126.51337중앙주식삼거리Y차량등LED현장고정시간제어00:0024:00:00YNYN보령시청041-930-39822023-08-17
223224충청남도보령시국도36대천항로대천해수욕장-어항대천5동 청파초등학교 앞<NA>보령시 신흑동 232236.31878126.51201중앙주식단일로Y차량등LED현장고정시간제어<NA><NA>YYYN보령시청041-930-39822023-08-17
224225충청남도보령시국도36대천항로대천해수욕장-어항대천5동 시영아파트 삼거리<NA>보령시 신흑동 223536.32308126.50908중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>YNNN보령시청041-930-39822023-08-17
225226충청남도보령시국도36대천항로대천해수욕장-어항대천5동 어항사거리<NA>보령시 신흑동 2243-1136.32594126.50994중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>YNYN보령시청041-930-39822023-08-17
226227충청남도보령시시도<NA>해안로보령-어항대천5동 군헌갯벌체험장 입구<NA>보령시 신흑동 548-136.33737126.53272중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>YNYY보령시청041-930-39822023-08-17
227228충청남도보령시시도<NA>대해로보령-대천해수욕장대천5동 공영주차장 입구<NA>보령시 신흑동 1437-236.30702126.51979중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>YNYY보령시청041-930-39822023-08-17
228229충청남도보령시국도36대천항로대천해수욕장-어항대천5동 진명식당 앞(신흑동 2236-2)<NA>보령시 신흑동 2236-236.31944126.51123중앙주식사거리Y차량등LED현장고정시간제어<NA><NA>YNYY보령시청041-930-39822023-08-17
229230충청남도보령시국도36대천항로대천해수욕장-어항대천5동 짚트랙 입구(신흑동 2235-1)<NA>보령시 신흑동 2235-136.32172126.50856중앙주식삼거리Y차량등LED현장고정시간제어<NA><NA>YNYY보령시청041-930-39822023-08-17