Overview

Dataset statistics

Number of variables10
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.4 KiB
Average record size in memory83.4 B

Variable types

Numeric3
Categorical3
Text4

Dataset

Description인천광역시 스마트 횡단보도* 위치정보(연번, 분류, 군구명, 설치위치, 교차로번호, 교차로명, 설치년도, 운영기관, 위도, 경도 등) 데이터입니다. * 스마트횡단보도 (보행신호 음성안내 보조장치, 바닥형 보행신호등)
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089392&srcSe=7661IVAWM27C61E190

Alerts

군·구명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
운영기관 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 분류 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 군·구명 and 1 other fieldsHigh correlation
분류 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:37:44.218557
Analysis finished2024-01-28 08:37:45.760648
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.5
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-28T17:37:45.819422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.95
Q175.75
median150.5
Q3225.25
95-th percentile285.05
Maximum300
Range299
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation86.746758
Coefficient of variation (CV)0.57639042
Kurtosis-1.2
Mean150.5
Median Absolute Deviation (MAD)75
Skewness0
Sum45150
Variance7525
MonotonicityStrictly increasing
2024-01-28T17:37:45.936167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
Other values (290) 290
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%

분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
바닥형 보행신호등
174 
음성안내 보조장치
95 
적색 잔여시간 표시장치
26 
보행신호 자동연장 시스템
 
5

Length

Max length13
Median length9
Mean length9.3266667
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음성안내 보조장치
2nd row음성안내 보조장치
3rd row음성안내 보조장치
4th row음성안내 보조장치
5th row음성안내 보조장치

Common Values

ValueCountFrequency (%)
바닥형 보행신호등 174
58.0%
음성안내 보조장치 95
31.7%
적색 잔여시간 표시장치 26
 
8.7%
보행신호 자동연장 시스템 5
 
1.7%

Length

2024-01-28T17:37:46.064689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:37:46.151530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
바닥형 174
27.6%
보행신호등 174
27.6%
음성안내 95
15.1%
보조장치 95
15.1%
적색 26
 
4.1%
잔여시간 26
 
4.1%
표시장치 26
 
4.1%
보행신호 5
 
0.8%
자동연장 5
 
0.8%
시스템 5
 
0.8%

군·구명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
서구
64 
서구(청라)
34 
동구
32 
연수구
31 
남동구
30 
Other values (7)
109 

Length

Max length7
Median length6
Mean length3.49
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 64
21.3%
서구(청라) 34
11.3%
동구 32
10.7%
연수구 31
10.3%
남동구 30
10.0%
연수구(송도) 22
 
7.3%
부평구 17
 
5.7%
중구(영종) 16
 
5.3%
미추홀구 15
 
5.0%
강화군 15
 
5.0%
Other values (2) 24
 
8.0%

Length

2024-01-28T17:37:46.247383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서구 64
21.3%
서구(청라 34
11.3%
동구 32
10.7%
연수구 31
10.3%
남동구 30
10.0%
연수구(송도 22
 
7.3%
부평구 17
 
5.7%
중구(영종 16
 
5.3%
미추홀구 15
 
5.0%
강화군 15
 
5.0%
Other values (2) 24
 
8.0%

설치 위치
Text

Distinct194
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-28T17:37:46.474274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.343333
Min length5

Characters and Unicode

Total characters3403
Distinct characters144
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

Unique105 ?
Unique (%)35.0%

Sample

1st row중구 신흥동3가 28-2
2nd row중구 북성동2가 14
3rd row중구 전동25-37
4th row중구 답동 15-1
5th row중구 홍예문로39
ValueCountFrequency (%)
연수구 53
 
6.3%
서구 45
 
5.3%
동구 32
 
3.8%
앞 28
 
3.3%
중구 26
 
3.1%
청라동 26
 
3.1%
송도동 22
 
2.6%
남동구 16
 
1.9%
교차로 16
 
1.9%
미추홀구 14
 
1.7%
Other values (273) 566
67.1%
2024-01-28T17:37:46.823944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
544
 
16.0%
동 238
 
7.0%
구 215
 
6.3%
1 198
 
5.8%
- 149
 
4.4%
로 135
 
4.0%
3 134
 
3.9%
2 125
 
3.7%
5 94
 
2.8%
9 89
 
2.6%
Other values (134) 1482
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1770
52.0%
Decimal Number 940
27.6%
Space Separator 544
 
16.0%
Dash Punctuation 149
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 238
 
13.4%
구 215
 
12.1%
로 135
 
7.6%
연 64
 
3.6%
수 63
 
3.6%
서 61
 
3.4%
교 44
 
2.5%
송 42
 
2.4%
중 39
 
2.2%
청 35
 
2.0%
Other values (122) 834
47.1%
Decimal Number
ValueCountFrequency (%)
1 198
21.1%
3 134
14.3%
2 125
13.3%
5 94
10.0%
9 89
9.5%
0 72
 
7.7%
4 64
 
6.8%
8 62
 
6.6%
7 54
 
5.7%
6 48
 
5.1%
Space Separator
ValueCountFrequency (%)
544
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1770
52.0%
Common 1633
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 238
 
13.4%
구 215
 
12.1%
로 135
 
7.6%
연 64
 
3.6%
수 63
 
3.6%
서 61
 
3.4%
교 44
 
2.5%
송 42
 
2.4%
중 39
 
2.2%
청 35
 
2.0%
Other values (122) 834
47.1%
Common
ValueCountFrequency (%)
544
33.3%
1 198
 
12.1%
- 149
 
9.1%
3 134
 
8.2%
2 125
 
7.7%
5 94
 
5.8%
9 89
 
5.5%
0 72
 
4.4%
4 64
 
3.9%
8 62
 
3.8%
Other values (2) 102
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1770
52.0%
ASCII 1633
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
544
33.3%
1 198
 
12.1%
- 149
 
9.1%
3 134
 
8.2%
2 125
 
7.7%
5 94
 
5.8%
9 89
 
5.5%
0 72
 
4.4%
4 64
 
3.9%
8 62
 
3.8%
Other values (2) 102
 
6.2%
Hangul
ValueCountFrequency (%)
동 238
 
13.4%
구 215
 
12.1%
로 135
 
7.6%
연 64
 
3.6%
수 63
 
3.6%
서 61
 
3.4%
교 44
 
2.5%
송 42
 
2.4%
중 39
 
2.2%
청 35
 
2.0%
Other values (122) 834
47.1%

교차로번호
Text

Distinct200
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-28T17:37:47.168133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.5666667
Min length4

Characters and Unicode

Total characters1370
Distinct characters17
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)37.7%

Sample

1st row1001
2nd row1016 연동
3rd row1035
4th row1037 연동
5th row1071
ValueCountFrequency (%)
연동 29
 
8.8%
18859 4
 
1.2%
2006 4
 
1.2%
2017 4
 
1.2%
8564 3
 
0.9%
8528 3
 
0.9%
8570 3
 
0.9%
8567 3
 
0.9%
1923 3
 
0.9%
8531 3
 
0.9%
Other values (183) 270
82.1%
2024-01-28T17:37:47.658663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 210
15.3%
0 203
14.8%
8 167
12.2%
4 123
9.0%
5 111
8.1%
2 106
7.7%
6 96
7.0%
3 88
6.4%
7 83
 
6.1%
9 78
 
5.7%
Other values (7) 105
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1265
92.3%
Other Letter 58
 
4.2%
Space Separator 29
 
2.1%
Uppercase Letter 18
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 210
16.6%
0 203
16.0%
8 167
13.2%
4 123
9.7%
5 111
8.8%
2 106
8.4%
6 96
7.6%
3 88
7.0%
7 83
 
6.6%
9 78
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
Y 7
38.9%
H 7
38.9%
S 2
 
11.1%
F 2
 
11.1%
Other Letter
ValueCountFrequency (%)
연 29
50.0%
동 29
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
94.5%
Hangul 58
 
4.2%
Latin 18
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 210
16.2%
0 203
15.7%
8 167
12.9%
4 123
9.5%
5 111
8.6%
2 106
8.2%
6 96
7.4%
3 88
6.8%
7 83
 
6.4%
9 78
 
6.0%
Latin
ValueCountFrequency (%)
Y 7
38.9%
H 7
38.9%
S 2
 
11.1%
F 2
 
11.1%
Hangul
ValueCountFrequency (%)
연 29
50.0%
동 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1312
95.8%
Hangul 58
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 210
16.0%
0 203
15.5%
8 167
12.7%
4 123
9.4%
5 111
8.5%
2 106
8.1%
6 96
7.3%
3 88
6.7%
7 83
 
6.3%
9 78
 
5.9%
Other values (5) 47
 
3.6%
Hangul
ValueCountFrequency (%)
연 29
50.0%
동 29
50.0%

교차로명
Text

Distinct200
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-28T17:37:47.927305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.35
Min length3

Characters and Unicode

Total characters1905
Distinct characters208
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)37.7%

Sample

1st row신광사거리
2nd row인천역사거리(북연등)
3rd row송월초교
4th row송도중학교(연동)
5th row옹진군선관위
ValueCountFrequency (%)
남연동 6
 
1.7%
이음초앞 5
 
1.4%
영종하늘 5
 
1.4%
앞 4
 
1.2%
정문 4
 
1.2%
단일로 4
 
1.2%
연송초교 4
 
1.2%
석남4 3
 
0.9%
gd102 3
 
0.9%
북연동 3
 
0.9%
Other values (204) 306
88.2%
2024-01-28T17:37:48.317472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 134
 
7.0%
교 99
 
5.2%
리 94
 
4.9%
거 84
 
4.4%
4 68
 
3.6%
동 59
 
3.1%
사 55
 
2.9%
48
 
2.5%
연 41
 
2.2%
) 34
 
1.8%
Other values (198) 1189
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1569
82.4%
Decimal Number 165
 
8.7%
Uppercase Letter 55
 
2.9%
Space Separator 48
 
2.5%
Close Punctuation 34
 
1.8%
Open Punctuation 32
 
1.7%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 134
 
8.5%
교 99
 
6.3%
리 94
 
6.0%
거 84
 
5.4%
동 59
 
3.8%
사 55
 
3.5%
연 41
 
2.6%
문 29
 
1.8%
남 27
 
1.7%
송 27
 
1.7%
Other values (178) 920
58.6%
Decimal Number
ValueCountFrequency (%)
4 68
41.2%
1 23
 
13.9%
3 23
 
13.9%
2 16
 
9.7%
0 16
 
9.7%
9 6
 
3.6%
7 6
 
3.6%
5 5
 
3.0%
6 1
 
0.6%
8 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
G 14
25.5%
D 14
25.5%
H 13
23.6%
Y 11
20.0%
L 2
 
3.6%
B 1
 
1.8%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1569
82.4%
Common 281
 
14.8%
Latin 55
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 134
 
8.5%
교 99
 
6.3%
리 94
 
6.0%
거 84
 
5.4%
동 59
 
3.8%
사 55
 
3.5%
연 41
 
2.6%
문 29
 
1.8%
남 27
 
1.7%
송 27
 
1.7%
Other values (178) 920
58.6%
Common
ValueCountFrequency (%)
4 68
24.2%
48
17.1%
) 34
12.1%
( 32
11.4%
1 23
 
8.2%
3 23
 
8.2%
2 16
 
5.7%
0 16
 
5.7%
9 6
 
2.1%
7 6
 
2.1%
Other values (4) 9
 
3.2%
Latin
ValueCountFrequency (%)
G 14
25.5%
D 14
25.5%
H 13
23.6%
Y 11
20.0%
L 2
 
3.6%
B 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1569
82.4%
ASCII 336
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 134
 
8.5%
교 99
 
6.3%
리 94
 
6.0%
거 84
 
5.4%
동 59
 
3.8%
사 55
 
3.5%
연 41
 
2.6%
문 29
 
1.8%
남 27
 
1.7%
송 27
 
1.7%
Other values (178) 920
58.6%
ASCII
ValueCountFrequency (%)
4 68
20.2%
48
14.3%
) 34
10.1%
( 32
9.5%
1 23
 
6.8%
3 23
 
6.8%
2 16
 
4.8%
0 16
 
4.8%
G 14
 
4.2%
D 14
 
4.2%
Other values (10) 48
14.3%

설치년도
Real number (ℝ)

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.01
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-28T17:37:48.422651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2020
Q12022
median2022
Q32023
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.94845412
Coefficient of variation (CV)0.000469065
Kurtosis2.7624806
Mean2022.01
Median Absolute Deviation (MAD)1
Skewness-1.2749133
Sum606603
Variance0.89956522
MonotonicityNot monotonic
2024-01-28T17:37:48.502706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 138
46.0%
2023 97
32.3%
2021 43
 
14.3%
2020 17
 
5.7%
2019 4
 
1.3%
2017 1
 
0.3%
ValueCountFrequency (%)
2017 1
 
0.3%
2019 4
 
1.3%
2020 17
 
5.7%
2021 43
 
14.3%
2022 138
46.0%
2023 97
32.3%
ValueCountFrequency (%)
2023 97
32.3%
2022 138
46.0%
2021 43
 
14.3%
2020 17
 
5.7%
2019 4
 
1.3%
2017 1
 
0.3%

운영기관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
인천광역시
228 
인천경제자유구역청
72 

Length

Max length9
Median length5
Mean length5.96
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 228
76.0%
인천경제자유구역청 72
 
24.0%

Length

2024-01-28T17:37:48.607286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:37:48.700484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 228
76.0%
인천경제자유구역청 72
 
24.0%

위도
Text

Distinct200
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-28T17:37:48.999085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.8333333
Min length7

Characters and Unicode

Total characters2650
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)37.7%

Sample

1st row37.4664457
2nd row37.475657
3rd row37.479571
4th row37.46947
5th row37.473025
ValueCountFrequency (%)
37.536133 4
 
1.3%
37.598252 3
 
1.0%
37.59653 3
 
1.0%
37.537024 3
 
1.0%
37.601545 3
 
1.0%
37.59959 3
 
1.0%
37.58575 3
 
1.0%
37.425142 3
 
1.0%
37.420635 3
 
1.0%
37.585962 3
 
1.0%
Other values (190) 269
89.7%
2024-01-28T17:37:49.385100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 490
18.5%
7 462
17.4%
. 300
11.3%
4 300
11.3%
5 244
9.2%
2 161
 
6.1%
9 155
 
5.8%
6 147
 
5.5%
8 138
 
5.2%
1 127
 
4.8%
Other values (2) 126
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2349
88.6%
Other Punctuation 301
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 490
20.9%
7 462
19.7%
4 300
12.8%
5 244
10.4%
2 161
 
6.9%
9 155
 
6.6%
6 147
 
6.3%
8 138
 
5.9%
1 127
 
5.4%
0 125
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 300
99.7%
, 1
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2650
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 490
18.5%
7 462
17.4%
. 300
11.3%
4 300
11.3%
5 244
9.2%
2 161
 
6.1%
9 155
 
5.8%
6 147
 
5.5%
8 138
 
5.2%
1 127
 
4.8%
Other values (2) 126
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 490
18.5%
7 462
17.4%
. 300
11.3%
4 300
11.3%
5 244
9.2%
2 161
 
6.1%
9 155
 
5.8%
6 147
 
5.5%
8 138
 
5.2%
1 127
 
4.8%
Other values (2) 126
 
4.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct199
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.65833
Minimum126.47646
Maximum126.74732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-28T17:37:49.514993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47646
5-th percentile126.49516
Q1126.64177
median126.66915
Q3126.70697
95-th percentile126.7289
Maximum126.74732
Range0.270863
Interquartile range (IQR)0.065203

Descriptive statistics

Standard deviation0.059052818
Coefficient of variation (CV)0.00046623715
Kurtosis1.9189584
Mean126.65833
Median Absolute Deviation (MAD)0.0313865
Skewness-1.3420435
Sum37997.499
Variance0.0034872353
MonotonicityNot monotonic
2024-01-28T17:37:49.634852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.644595 4
 
1.3%
126.627657 4
 
1.3%
126.656422 3
 
1.0%
126.708927 3
 
1.0%
126.710895 3
 
1.0%
126.653224 3
 
1.0%
126.712827 3
 
1.0%
126.714186 3
 
1.0%
126.707672 3
 
1.0%
126.670544 3
 
1.0%
Other values (189) 268
89.3%
ValueCountFrequency (%)
126.476458 1
0.3%
126.480208 2
0.7%
126.482756 1
0.3%
126.484344 1
0.3%
126.485095 1
0.3%
126.485125 1
0.3%
126.485182 1
0.3%
126.485835 1
0.3%
126.486479 1
0.3%
126.487278 1
0.3%
ValueCountFrequency (%)
126.747321 1
0.3%
126.745432 1
0.3%
126.743611 1
0.3%
126.741261 1
0.3%
126.741186 1
0.3%
126.740632 1
0.3%
126.73659 1
0.3%
126.735979 1
0.3%
126.735817 1
0.3%
126.735388 1
0.3%

Interactions

2024-01-28T17:37:45.068305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:44.615232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:44.850543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:45.143268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:44.694642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:44.922244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:45.218595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:44.783664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:37:44.994914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:37:49.718861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류군·구명설치년도운영기관경도
연번1.0000.9050.8420.5290.6140.633
분류0.9051.0000.4460.2330.3960.103
군·구명0.8420.4461.0000.5841.0000.895
설치년도0.5290.2330.5841.0000.2700.403
운영기관0.6140.3961.0000.2701.0000.689
경도0.6330.1030.8950.4030.6891.000
2024-01-28T17:37:49.811776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군·구명분류운영기관
군·구명1.0000.2160.983
분류0.2161.0000.264
운영기관0.9830.2641.000
2024-01-28T17:37:49.902702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치년도경도분류군·구명운영기관
연번1.0000.3750.0640.7820.5610.469
설치년도0.3751.0000.2220.1890.3290.337
경도0.0640.2221.0000.0650.6580.691
분류0.7820.1890.0651.0000.2160.264
군·구명0.5610.3290.6580.2161.0000.983
운영기관0.4690.3370.6910.2640.9831.000

Missing values

2024-01-28T17:37:45.321693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:37:45.713197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번분류군·구명설치 위치교차로번호교차로명설치년도운영기관위도경도
01음성안내 보조장치중구중구 신흥동3가 28-21001신광사거리2020인천광역시37.4664457126.636003
12음성안내 보조장치중구중구 북성동2가 141016 연동인천역사거리(북연등)2022인천광역시37.475657126.617359
23음성안내 보조장치중구중구 전동25-371035송월초교2022인천광역시37.479571126.62578
34음성안내 보조장치중구중구 답동 15-11037 연동송도중학교(연동)2022인천광역시37.46947126.62896
45음성안내 보조장치중구중구 홍예문로391071옹진군선관위2022인천광역시37.473025126.62471
56음성안내 보조장치중구중구 연안부두로33번길 531187연안초교 정문2021인천광역시37.453226126.607253
67음성안내 보조장치중구(영종)중구 중산동1985YH11319영종하늘 YH1202022인천경제자유구역청37.495558126.565524
78음성안내 보조장치중구(영종)중구 하늘달빛로 133YH11361영종초등학교2020인천경제자유구역청37.489055126.554094
89음성안내 보조장치동구동구 동산로 762006서림초교사거리2022인천광역시37.474085126.646156
910음성안내 보조장치동구동구 송림동 72-92006 연동서림초교4 남연동2022인천광역시37.472844126.647329
연번분류군·구명설치 위치교차로번호교차로명설치년도운영기관위도경도
290291적색 잔여시간 표시장치서구(청라)서구 라임로 10018807충민교서측4거리2022인천경제자유구역청37.536091126.653224
291292적색 잔여시간 표시장치서구(청라)청라동 167-3318816초은중입구2023인천경제자유구역청37.528739126.65329
292293적색 잔여시간 표시장치서구(청라)청라동 155-2918827청호초사거리2023인천경제자유구역청37.536093126.644595
293294적색 잔여시간 표시장치서구(청라)서구 청라동 155-2818832청일초32023인천경제자유구역청37.52981126.636594
294295적색 잔여시간 표시장치서구(청라)청라동 155-2818836청라LH사거리2023인천경제자유구역청37.529872126.644621
295296적색 잔여시간 표시장치서구(청라)청라동 55-2018853한내중42023인천경제자유구역청37.539003126.624894
296297적색 잔여시간 표시장치서구(청라)청라동 84-1118859허암교통측42023인천경제자유구역청37.536133126.627657
297298적색 잔여시간 표시장치서구(청라)청라동 103-1318872해원공원 단일로2023인천경제자유구역청37.5272126.627025
298299적색 잔여시간 표시장치서구(청라)서구 청라동 115-818952중봉교남측2022인천경제자유구역청37.531693126.649562
299300적색 잔여시간 표시장치서구(청라)청라동 103-1918956해원고 입구2023인천경제자유구역청37.527694126.628581