Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory123.0 B

Variable types

Numeric3
Categorical9
Text2

Dataset

Description서울시 신호등의 소재지, 위치(지주 기준, 중부원점 좌표계), 부착형태, 신호등 종류, 광원 종류 및 신호 보조장치(음향신호기, 잔여시간 표시기, 보행자작동 신호기) 설치 여부에 관한 데이터
Author서울특별시
URLhttps://www.data.go.kr/data/15113147/fileData.do

Alerts

시도명 has constant value ""Constant
순번 is highly overall correlated with 시군구명High correlation
X좌표 is highly overall correlated with 시군구명High correlation
Y좌표 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
부착형태 is highly overall correlated with 신호등종류High correlation
신호등종류 is highly overall correlated with 부착형태High correlation
음향신호기 유무 is highly overall correlated with 잔여시간 유무High correlation
잔여시간 유무 is highly overall correlated with 음향신호기 유무High correlation
부착형태 is highly imbalanced (60.0%)Imbalance
신호등종류 is highly imbalanced (54.0%)Imbalance
보행자작동신호기 유무 is highly imbalanced (60.6%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:07:06.829859
Analysis finished2024-04-29 23:07:11.244891
Duration4.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38449.422
Minimum3
Maximum76990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T08:07:11.322150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3901.95
Q119033.5
median38699.5
Q357735.75
95-th percentile73052.2
Maximum76990
Range76987
Interquartile range (IQR)38702.25

Descriptive statistics

Standard deviation22273.928
Coefficient of variation (CV)0.57930462
Kurtosis-1.2101029
Mean38449.422
Median Absolute Deviation (MAD)19359
Skewness-0.00099885101
Sum3.8449422 × 108
Variance4.9612785 × 108
MonotonicityNot monotonic
2024-04-30T08:07:11.468850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13590 1
 
< 0.1%
19507 1
 
< 0.1%
69495 1
 
< 0.1%
28917 1
 
< 0.1%
76753 1
 
< 0.1%
52339 1
 
< 0.1%
48295 1
 
< 0.1%
61163 1
 
< 0.1%
66046 1
 
< 0.1%
9735 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
5 1
< 0.1%
17 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
30 1
< 0.1%
32 1
< 0.1%
45 1
< 0.1%
57 1
< 0.1%
61 1
< 0.1%
ValueCountFrequency (%)
76990 1
< 0.1%
76982 1
< 0.1%
76977 1
< 0.1%
76971 1
< 0.1%
76954 1
< 0.1%
76936 1
< 0.1%
76935 1
< 0.1%
76932 1
< 0.1%
76913 1
< 0.1%
76910 1
< 0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울특별시
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 10000
100.0%

Length

2024-04-30T08:07:11.599714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:11.687059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 10000
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
노원구
1022 
강남구
985 
강서구
972 
마포구
846 
동대문구
720 
Other values (10)
5455 

Length

Max length4
Median length3
Mean length3.122
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강북구
2nd row광진구
3rd row강서구
4th row관악구
5th row금천구

Common Values

ValueCountFrequency (%)
노원구 1022
10.2%
강남구 985
 
9.8%
강서구 972
 
9.7%
마포구 846
 
8.5%
동대문구 720
 
7.2%
강동구 673
 
6.7%
관악구 581
 
5.8%
서초구 573
 
5.7%
구로구 560
 
5.6%
광진구 551
 
5.5%
Other values (5) 2517
25.2%

Length

2024-04-30T08:07:11.789658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노원구 1022
10.2%
강남구 985
 
9.8%
강서구 972
 
9.7%
마포구 846
 
8.5%
동대문구 720
 
7.2%
강동구 673
 
6.7%
관악구 581
 
5.8%
서초구 573
 
5.7%
구로구 560
 
5.6%
광진구 551
 
5.5%
Other values (5) 2517
25.2%

도로종류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시도
8114 
구도
1886 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시도 8114
81.1%
구도 1886
 
18.9%

Length

2024-04-30T08:07:11.902786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:12.001403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 8114
81.1%
구도 1886
 
18.9%

주소
Text

Distinct4726
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T08:07:12.267339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.2061
Min length13

Characters and Unicode

Total characters202061
Distinct characters155
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

Unique2770 ?
Unique (%)27.7%

Sample

1st row서울특별시 강북구 미아동 89-40 도
2nd row서울특별시 광진구 자양동 232-30대
3rd row서울특별시 강서구 방화동 232-1답
4th row서울특별시 관악구 신림동 616-3 도
5th row서울특별시 금천구 가산동 29-31도
ValueCountFrequency (%)
서울특별시 10000
23.4%
대 1247
 
2.9%
노원구 1022
 
2.4%
강남구 985
 
2.3%
강서구 972
 
2.3%
도 860
 
2.0%
마포구 846
 
2.0%
동대문구 720
 
1.7%
강동구 673
 
1.6%
관악구 581
 
1.4%
Other values (4623) 24794
58.1%
2024-04-30T08:07:12.703074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32852
16.3%
서 12301
 
6.1%
동 11917
 
5.9%
구 10969
 
5.4%
시 10142
 
5.0%
특 10000
 
4.9%
별 10000
 
4.9%
울 10000
 
4.9%
1 7701
 
3.8%
- 7441
 
3.7%
Other values (145) 78738
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121807
60.3%
Decimal Number 39961
 
19.8%
Space Separator 32852
 
16.3%
Dash Punctuation 7441
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12301
 
10.1%
동 11917
 
9.8%
구 10969
 
9.0%
시 10142
 
8.3%
특 10000
 
8.2%
별 10000
 
8.2%
울 10000
 
8.2%
대 5996
 
4.9%
도 3702
 
3.0%
강 3176
 
2.6%
Other values (133) 33604
27.6%
Decimal Number
ValueCountFrequency (%)
1 7701
19.3%
2 5064
12.7%
3 4367
10.9%
4 3978
10.0%
6 3569
8.9%
5 3487
8.7%
7 3133
7.8%
8 2957
 
7.4%
0 2875
 
7.2%
9 2830
 
7.1%
Space Separator
ValueCountFrequency (%)
32852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7441
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121807
60.3%
Common 80254
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12301
 
10.1%
동 11917
 
9.8%
구 10969
 
9.0%
시 10142
 
8.3%
특 10000
 
8.2%
별 10000
 
8.2%
울 10000
 
8.2%
대 5996
 
4.9%
도 3702
 
3.0%
강 3176
 
2.6%
Other values (133) 33604
27.6%
Common
ValueCountFrequency (%)
32852
40.9%
1 7701
 
9.6%
- 7441
 
9.3%
2 5064
 
6.3%
3 4367
 
5.4%
4 3978
 
5.0%
6 3569
 
4.4%
5 3487
 
4.3%
7 3133
 
3.9%
8 2957
 
3.7%
Other values (2) 5705
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121807
60.3%
ASCII 80254
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32852
40.9%
1 7701
 
9.6%
- 7441
 
9.3%
2 5064
 
6.3%
3 4367
 
5.4%
4 3978
 
5.0%
6 3569
 
4.4%
5 3487
 
4.3%
7 3133
 
3.9%
8 2957
 
3.7%
Other values (2) 5705
 
7.1%
Hangul
ValueCountFrequency (%)
서 12301
 
10.1%
동 11917
 
9.8%
구 10969
 
9.0%
시 10142
 
8.3%
특 10000
 
8.2%
별 10000
 
8.2%
울 10000
 
8.2%
대 5996
 
4.9%
도 3702
 
3.0%
강 3176
 
2.6%
Other values (133) 33604
27.6%

X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct6242
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199150.75
Minimum182180.47
Maximum216054.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T08:07:12.837837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182180.47
5-th percentile185535.31
Q1192353.42
median201670.82
Q3205498.05
95-th percentile211396.59
Maximum216054.25
Range33873.778
Interquartile range (IQR)13144.628

Descriptive statistics

Standard deviation8104.2418
Coefficient of variation (CV)0.040694006
Kurtosis-0.98610823
Mean199150.75
Median Absolute Deviation (MAD)5984.6466
Skewness-0.214183
Sum1.9915075 × 109
Variance65678735
MonotonicityNot monotonic
2024-04-30T08:07:12.966851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190075.7473 58
 
0.6%
203015.6232 44
 
0.4%
205363.375 29
 
0.3%
203079.6871 21
 
0.2%
192255.8734 21
 
0.2%
187907.3257 20
 
0.2%
205199.4875 19
 
0.2%
194259.3 19
 
0.2%
203422.3013 18
 
0.2%
185611.3969 18
 
0.2%
Other values (6232) 9733
97.3%
ValueCountFrequency (%)
182180.4687 1
< 0.1%
182249.6356 1
< 0.1%
182317.8738 2
< 0.1%
182325.5581 1
< 0.1%
182568.565 1
< 0.1%
182600.4308 1
< 0.1%
182631.375 1
< 0.1%
182668.2857 2
< 0.1%
182723.6065 1
< 0.1%
182802.105 1
< 0.1%
ValueCountFrequency (%)
216054.2463 1
< 0.1%
216038.5375 1
< 0.1%
216027.2439 2
< 0.1%
215924.3535 1
< 0.1%
215920.5638 1
< 0.1%
215919.1884 2
< 0.1%
215898.8252 1
< 0.1%
215896.9106 2
< 0.1%
215886.1934 1
< 0.1%
215883.3125 1
< 0.1%

Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct6245
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550278.88
Minimum537261.07
Maximum565846.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T08:07:13.344830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum537261.07
5-th percentile541295
Q1544245.76
median550232.43
Q3553659.27
95-th percentile562269.63
Maximum565846.56
Range28585.494
Interquartile range (IQR)9413.5149

Descriptive statistics

Standard deviation6615.9255
Coefficient of variation (CV)0.012022859
Kurtosis-0.80659168
Mean550278.88
Median Absolute Deviation (MAD)5362.1793
Skewness0.38710184
Sum5.5027888 × 109
Variance43770470
MonotonicityNot monotonic
2024-04-30T08:07:13.467381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
542064.3705 58
 
0.6%
559541.0695 44
 
0.4%
561615.4437 29
 
0.3%
552732.3441 21
 
0.2%
550242.1464 21
 
0.2%
550803.4999 20
 
0.2%
562382.7625 19
 
0.2%
554111.3437 19
 
0.2%
550734.6616 18
 
0.2%
543042.7065 18
 
0.2%
Other values (6235) 9733
97.3%
ValueCountFrequency (%)
537261.0711 1
 
< 0.1%
537283.1288 1
 
< 0.1%
537395.125 6
0.1%
537632.6812 2
 
< 0.1%
537726.5625 1
 
< 0.1%
537733.4562 1
 
< 0.1%
538118.1749 2
 
< 0.1%
538118.6882 2
 
< 0.1%
538134.9791 2
 
< 0.1%
538509.1312 1
 
< 0.1%
ValueCountFrequency (%)
565846.5647 2
 
< 0.1%
565698.0588 1
 
< 0.1%
565688.8302 1
 
< 0.1%
565679.1062 1
 
< 0.1%
565606.2736 1
 
< 0.1%
565480.7312 3
< 0.1%
565477.2859 1
 
< 0.1%
565467.2775 5
0.1%
565398.8687 1
 
< 0.1%
565396.5687 1
 
< 0.1%

부착형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측주식종형
5206 
측주식횡형
4757 
중앙식
 
31
<NA>
 
3
현수식
 
2

Length

Max length5
Median length5
Mean length4.9929
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row측주식횡형
2nd row측주식횡형
3rd row측주식종형
4th row측주식횡형
5th row측주식종형

Common Values

ValueCountFrequency (%)
측주식종형 5206
52.1%
측주식횡형 4757
47.6%
중앙식 31
 
0.3%
<NA> 3
 
< 0.1%
현수식 2
 
< 0.1%
문형식 1
 
< 0.1%

Length

2024-04-30T08:07:13.610302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:13.718277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
측주식종형 5206
52.1%
측주식횡형 4757
47.6%
중앙식 31
 
0.3%
na 3
 
< 0.1%
현수식 2
 
< 0.1%
문형식 1
 
< 0.1%

관리번호
Text

Distinct7812
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T08:07:13.907687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters130000
Distinct characters11
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

Unique6478 ?
Unique (%)64.8%

Sample

1st row03-0000036873
2nd row03-0000057643
3rd row03-0000078527
4th row03-0000005514
5th row03-0000060269
ValueCountFrequency (%)
03-0000033056 19
 
0.2%
03-0000019488 14
 
0.1%
03-0000025110 13
 
0.1%
03-0000028038 12
 
0.1%
03-0000022059 12
 
0.1%
03-0000044784 12
 
0.1%
03-0000011743 12
 
0.1%
03-0000060272 12
 
0.1%
03-0000009249 11
 
0.1%
03-0000005503 11
 
0.1%
Other values (7802) 9872
98.7%
2024-04-30T08:07:14.239237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65570
50.4%
3 15270
 
11.7%
- 10000
 
7.7%
1 5731
 
4.4%
2 5537
 
4.3%
4 5252
 
4.0%
5 5049
 
3.9%
6 4988
 
3.8%
7 4517
 
3.5%
8 4273
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120000
92.3%
Dash Punctuation 10000
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65570
54.6%
3 15270
 
12.7%
1 5731
 
4.8%
2 5537
 
4.6%
4 5252
 
4.4%
5 5049
 
4.2%
6 4988
 
4.2%
7 4517
 
3.8%
8 4273
 
3.6%
9 3813
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65570
50.4%
3 15270
 
11.7%
- 10000
 
7.7%
1 5731
 
4.4%
2 5537
 
4.3%
4 5252
 
4.0%
5 5049
 
3.9%
6 4988
 
3.8%
7 4517
 
3.5%
8 4273
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65570
50.4%
3 15270
 
11.7%
- 10000
 
7.7%
1 5731
 
4.4%
2 5537
 
4.3%
4 5252
 
4.0%
5 5049
 
3.9%
6 4988
 
3.8%
7 4517
 
3.5%
8 4273
 
3.3%

신호등종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보행등
4936 
3색등
2474 
4색등
1477 
측주식횡형경보(2)
541 
차량보조등3색
 
449
Other values (14)
 
123

Length

Max length13
Median length3
Mean length3.6227
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row3색등
2nd row3색등
3rd row보행등
4th row3색등
5th row보행등

Common Values

ValueCountFrequency (%)
보행등 4936
49.4%
3색등 2474
24.7%
4색등 1477
 
14.8%
측주식횡형경보(2) 541
 
5.4%
차량보조등3색 449
 
4.5%
시선유도형경보(2) 26
 
0.3%
머릿돌경보(2) 17
 
0.2%
측주식종형경보(2) 16
 
0.2%
3색등(종형) 14
 
0.1%
버스전용3색등 13
 
0.1%
Other values (9) 37
 
0.4%

Length

2024-04-30T08:07:14.390874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보행등 4936
49.3%
3색등 2474
24.7%
4색등 1477
 
14.8%
측주식횡형경보(2 541
 
5.4%
차량보조등3색 449
 
4.5%
시선유도형경보(2 26
 
0.3%
머릿돌경보(2 17
 
0.2%
측주식종형경보(2 16
 
0.2%
3색등(종형 14
 
0.1%
버스전용3색등 13
 
0.1%
Other values (11) 40
 
0.4%

광원종류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
LED
7669 
전구
2331 

Length

Max length3
Median length3
Mean length2.7669
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
LED 7669
76.7%
전구 2331
 
23.3%

Length

2024-04-30T08:07:14.516381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:14.612791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
led 7669
76.7%
전구 2331
 
23.3%

음향신호기 유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
O
6912 
X
3088 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO
2nd rowX
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 6912
69.1%
X 3088
30.9%

Length

2024-04-30T08:07:14.714266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:14.798680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 6912
69.1%
x 3088
30.9%

잔여시간 유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
O
6814 
X
3186 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO
2nd rowX
3rd rowO
4th rowO
5th rowX

Common Values

ValueCountFrequency (%)
O 6814
68.1%
X 3186
31.9%

Length

2024-04-30T08:07:14.891006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:14.985325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 6814
68.1%
x 3186
31.9%

보행자작동신호기 유무
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
X
9222 
O
 
778

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 9222
92.2%
O 778
 
7.8%

Length

2024-04-30T08:07:15.079682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:07:15.168492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 9222
92.2%
o 778
 
7.8%

Interactions

2024-04-30T08:07:10.604079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:09.942952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.321966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.708450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.110512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.420937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.806594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.219366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:07:10.517973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:07:15.239398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구명도로종류X좌표Y좌표부착형태신호등종류광원종류음향신호기 유무잔여시간 유무보행자작동신호기 유무
순번1.0000.9880.1490.8880.8410.0560.1060.1270.0650.1170.188
시군구명0.9881.0000.1640.9240.8950.0950.1370.1380.0650.1080.230
도로종류0.1490.1641.0000.1570.0620.0420.3610.0630.4060.4200.038
X좌표0.8880.9240.1571.0000.7210.0610.1390.1390.0860.0520.158
Y좌표0.8410.8950.0620.7211.0000.0480.1020.0900.0990.1040.091
부착형태0.0560.0950.0420.0610.0481.0000.8160.0470.2140.2070.035
신호등종류0.1060.1370.3610.1390.1020.8161.0000.3130.4960.4890.127
광원종류0.1270.1380.0630.1390.0900.0470.3131.0000.0770.0730.089
음향신호기 유무0.0650.0650.4060.0860.0990.2140.4960.0771.0000.7640.070
잔여시간 유무0.1170.1080.4200.0520.1040.2070.4890.0730.7641.0000.088
보행자작동신호기 유무0.1880.2300.0380.1580.0910.0350.1270.0890.0700.0881.000
2024-04-30T08:07:15.381127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
잔여시간 유무광원종류부착형태도로종류신호등종류음향신호기 유무보행자작동신호기 유무시군구명
잔여시간 유무1.0000.0470.2530.2760.3870.5540.0560.098
광원종류0.0471.0000.0570.0400.2460.0490.0570.126
부착형태0.2530.0571.0000.0510.5910.2610.0430.041
도로종류0.2760.0400.0511.0000.2850.2660.0240.149
신호등종류0.3870.2460.5910.2851.0000.3920.1000.045
음향신호기 유무0.5540.0490.2610.2660.3921.0000.0450.059
보행자작동신호기 유무0.0560.0570.0430.0240.1000.0451.0000.209
시군구명0.0980.1260.0410.1490.0450.0590.2091.000
2024-04-30T08:07:15.522907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번X좌표Y좌표시군구명도로종류부착형태신호등종류광원종류음향신호기 유무잔여시간 유무보행자작동신호기 유무
순번1.000-0.2020.1530.8900.1140.0230.0410.0970.0500.0900.144
X좌표-0.2021.0000.2630.6690.1200.0250.0530.1060.0660.0400.121
Y좌표0.1530.2631.0000.6030.0460.0200.0390.0680.0760.0810.070
시군구명0.8900.6690.6031.0000.1490.0410.0450.1260.0590.0980.209
도로종류0.1140.1200.0460.1491.0000.0510.2850.0400.2660.2760.024
부착형태0.0230.0250.0200.0410.0511.0000.5910.0570.2610.2530.043
신호등종류0.0410.0530.0390.0450.2850.5911.0000.2460.3920.3870.100
광원종류0.0970.1060.0680.1260.0400.0570.2461.0000.0490.0470.057
음향신호기 유무0.0500.0660.0760.0590.2660.2610.3920.0491.0000.5540.045
잔여시간 유무0.0900.0400.0810.0980.2760.2530.3870.0470.5541.0000.056
보행자작동신호기 유무0.1440.1210.0700.2090.0240.0430.1000.0570.0450.0561.000

Missing values

2024-04-30T08:07:10.935804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:07:11.142231image/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

순번시도명시군구명도로종류주소X좌표Y좌표부착형태관리번호신호등종류광원종류음향신호기 유무잔여시간 유무보행자작동신호기 유무
1358913590서울특별시강북구시도서울특별시 강북구 미아동 89-40 도202727.6752557424.9054측주식횡형03-00000368733색등LEDOOX
3049330494서울특별시광진구시도서울특별시 광진구 자양동 232-30대206923.1695548111.1743측주식횡형03-00000576433색등LEDXXX
1812918130서울특별시강서구시도서울특별시 강서구 방화동 232-1답184010.1202551876.967측주식종형03-0000078527보행등LEDOOX
2651426515서울특별시관악구시도서울특별시 관악구 신림동 616-3 도192818.982541542.1276측주식횡형03-00000055143색등LEDOOX
3866038661서울특별시금천구시도서울특별시 금천구 가산동 29-31도189685.8866542375.9343측주식종형03-0000060269보행등LEDOXX
5519355194서울특별시동대문구시도서울특별시 동대문구 장안동206323.9875552552.8562측주식종형03-0000021307보행등LEDOOX
1748617487서울특별시강서구시도서울특별시 강서구 가양동 219-6공186015.9391552411.2062측주식종형03-0000030911보행등LEDOOX
5489354894서울특별시동대문구시도서울특별시 동대문구 청량리동 산1-199임203728.3114554653.7578측주식종형03-0000031261보행등LEDOOX
1682216823서울특별시강서구시도서울특별시 강서구 화곡동 456-16 종187058.813547976.4131측주식횡형03-00000498453색등LEDXXX
6854268543서울특별시마포구시도서울특별시 마포구 도화동 155대196067.3701548999.8875측주식종형03-0000083078보행등LEDOOX
순번시도명시군구명도로종류주소X좌표Y좌표부착형태관리번호신호등종류광원종류음향신호기 유무잔여시간 유무보행자작동신호기 유무
2344423445서울특별시강서구시도서울특별시 강서구 내발산동 724-28도185611.3969550589.2535측주식횡형03-0000050086보행등전구OOX
1862818629서울특별시강서구시도서울특별시 강서구 가양동 439-1제187320.4449551588.076측주식종형03-0000055775보행등LEDOOX
4045440455서울특별시금천구시도서울특별시 금천구 독산동 441-6 대190868.9627539937.2921측주식종형03-0000075601보행등LEDOOX
506507서울특별시강남구구도서울특별시 강남구 개포동 175-1 도205061.3625542686.5562측주식종형03-0000013298차량보조등3색전구OXX
6653466535서울특별시마포구구도서울특별시 마포구 도화동 293-1도195200.7929549088.5047측주식횡형03-0000043493측주식횡형경보(2)LEDXXX
1170211703서울특별시강동구시도서울특별시 강동구 고덕동 산7-6 임214655.1992551175.1148측주식종형03-0000082386보행등LEDOOX
5934659347서울특별시동작구시도서울특별시 동작구 사당동 493-1천198382.6487542426.1측주식종형03-0000053410보행등LEDOOX
1008010081서울특별시강동구시도서울특별시 강동구 성내동 504-2대210550.7188547625.5625측주식횡형03-00000119334색등LEDXXX
4221442215서울특별시노원구구도서울특별시 노원구 상계동 637대205354.2416563143.0941측주식횡형03-00000319363색등전구XXX
2979129792서울특별시광진구시도서울특별시 광진구 중곡동 240-8대206934.2242551245.4254측주식횡형03-00000359083색등전구XXX