Overview

Dataset statistics

Number of variables11
Number of observations9489
Missing cells50
Missing cells (%)< 0.1%
Duplicate rows31
Duplicate rows (%)0.3%
Total size in memory843.4 KiB
Average record size in memory91.0 B

Variable types

Categorical6
Text2
Numeric3

Dataset

Description경기도 광주시 관내 교통표지판 현황에 대한 데이터로 행정구역, 설치일자, 위치구분, 표지판구분, 지주형식, 높이, 기재사항 등을 제공합니다.
URLhttps://www.data.go.kr/data/15042251/fileData.do

Alerts

지형지물부호 has constant value ""Constant
Dataset has 31 (0.3%) duplicate rowsDuplicates
경도 is highly overall correlated with 행정구역 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 행정구역 and 1 other fieldsHigh correlation
행정구역 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
법정구역 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
지주형식 is highly imbalanced (56.5%)Imbalance
높이 is highly skewed (γ1 = 50.2126482)Skewed
높이 has 470 (5.0%) zerosZeros

Reproduction

Analysis started2023-12-12 08:06:57.027656
Analysis finished2023-12-12 08:06:59.715079
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
교통표지판
9489 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통표지판 9489
100.0%

Length

2023-12-12T17:06:59.804921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:06:59.904372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통표지판 9489
100.0%

행정구역
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
광남동
1355 
경안동
1295 
송정동
1067 
곤지암읍
1023 
초월읍
1000 
Other values (14)
3749 

Length

Max length5
Median length3
Mean length3.3446095
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row초월읍
2nd row곤지암읍
3rd row곤지암읍
4th row곤지암읍
5th row곤지암읍

Common Values

ValueCountFrequency (%)
광남동 1355
14.3%
경안동 1295
13.6%
송정동 1067
11.2%
곤지암읍 1023
10.8%
초월읍 1000
10.5%
퇴촌면 620
6.5%
남한산성면 573
6.0%
오포2동 483
 
5.1%
오포1동 437
 
4.6%
남종면 397
 
4.2%
Other values (9) 1239
13.1%

Length

2023-12-12T17:07:00.039536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광남동 1355
14.3%
경안동 1295
13.6%
송정동 1067
11.2%
곤지암읍 1023
10.8%
초월읍 1000
10.5%
퇴촌면 620
6.5%
남한산성면 573
6.0%
오포2동 483
 
5.1%
오포1동 437
 
4.6%
남종면 397
 
4.2%
Other values (9) 1239
13.1%

법정구역
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
곤지암읍
1023 
초월읍
1001 
태전동
797 
송정동
642 
퇴촌면
620 
Other values (23)
5406 

Length

Max length5
Median length3
Mean length3.1587101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초월읍
2nd row곤지암읍
3rd row곤지암읍
4th row곤지암읍
5th row곤지암읍

Common Values

ValueCountFrequency (%)
곤지암읍 1023
 
10.8%
초월읍 1001
 
10.5%
태전동 797
 
8.4%
송정동 642
 
6.8%
퇴촌면 620
 
6.5%
역동 609
 
6.4%
남한산성면 573
 
6.0%
경안동 496
 
5.2%
양벌동 435
 
4.6%
남종면 397
 
4.2%
Other values (18) 2896
30.5%

Length

2023-12-12T17:07:00.237153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곤지암읍 1023
 
10.8%
초월읍 1001
 
10.5%
태전동 797
 
8.4%
송정동 642
 
6.8%
퇴촌면 620
 
6.5%
역동 609
 
6.4%
남한산성면 573
 
6.0%
경안동 496
 
5.2%
양벌동 435
 
4.6%
남종면 397
 
4.2%
Other values (18) 2896
30.5%

설치일자
Text

Distinct111
Distinct (%)1.2%
Missing50
Missing (%)0.5%
Memory size74.3 KiB
2023-12-12T17:07:00.564531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8760462
Min length1

Characters and Unicode

Total characters93220
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row2015-01-01
2nd row2000-01-01
3rd row2000-01-01
4th row2000-01-01
5th row2000-01-01
ValueCountFrequency (%)
1900-01-01 4645
49.9%
2017-01-01 596
 
6.4%
2021-01-01 467
 
5.0%
2019-01-01 404
 
4.3%
2022-01-01 354
 
3.8%
2021-04-30 312
 
3.4%
2021-08-01 209
 
2.2%
2010-01-01 205
 
2.2%
2014-01-01 173
 
1.9%
2018-01-01 166
 
1.8%
Other values (100) 1778
 
19.1%
2023-12-12T17:07:01.082227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32388
34.7%
1 25392
27.2%
- 18618
20.0%
2 7689
 
8.2%
9 5331
 
5.7%
3 920
 
1.0%
8 818
 
0.9%
7 779
 
0.8%
4 619
 
0.7%
6 320
 
0.3%
Other values (2) 346
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74472
79.9%
Dash Punctuation 18618
 
20.0%
Space Separator 130
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32388
43.5%
1 25392
34.1%
2 7689
 
10.3%
9 5331
 
7.2%
3 920
 
1.2%
8 818
 
1.1%
7 779
 
1.0%
4 619
 
0.8%
6 320
 
0.4%
5 216
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 18618
100.0%
Space Separator
ValueCountFrequency (%)
130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32388
34.7%
1 25392
27.2%
- 18618
20.0%
2 7689
 
8.2%
9 5331
 
5.7%
3 920
 
1.0%
8 818
 
0.9%
7 779
 
0.8%
4 619
 
0.7%
6 320
 
0.3%
Other values (2) 346
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32388
34.7%
1 25392
27.2%
- 18618
20.0%
2 7689
 
8.2%
9 5331
 
5.7%
3 920
 
1.0%
8 818
 
0.9%
7 779
 
0.8%
4 619
 
0.7%
6 320
 
0.3%
Other values (2) 346
 
0.4%

위치구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
우
4513 
좌
4471 
미분류
 
275
중앙
 
122
기타
 
108

Length

Max length3
Median length1
Mean length1.0822004
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우
2nd row우
3rd row우
4th row좌
5th row우

Common Values

ValueCountFrequency (%)
우 4513
47.6%
좌 4471
47.1%
미분류 275
 
2.9%
중앙 122
 
1.3%
기타 108
 
1.1%

Length

2023-12-12T17:07:01.294404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:07:01.440367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
우 4513
47.6%
좌 4471
47.1%
미분류 275
 
2.9%
중앙 122
 
1.3%
기타 108
 
1.1%

표지판구분
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
교통안전(규제)
3152 
교통안전(주의)
2624 
교통안전(지시)
2224 
교통안전(보조)
1174 
교통안전(기타)
 
271
Other values (3)
 
44

Length

Max length8
Median length8
Mean length7.9744968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교통안전(기타)
2nd row교통안전(지시)
3rd row교통안전(주의)
4th row교통안전(규제)
5th row교통안전(규제)

Common Values

ValueCountFrequency (%)
교통안전(규제) 3152
33.2%
교통안전(주의) 2624
27.7%
교통안전(지시) 2224
23.4%
교통안전(보조) 1174
 
12.4%
교통안전(기타) 271
 
2.9%
기타 26
 
0.3%
미분류 14
 
0.1%
<NA> 4
 
< 0.1%

Length

2023-12-12T17:07:01.592345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:07:01.781378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통안전(규제 3152
33.2%
교통안전(주의 2624
27.7%
교통안전(지시 2224
23.4%
교통안전(보조 1174
 
12.4%
교통안전(기타 271
 
2.9%
기타 26
 
0.3%
미분류 14
 
0.1%
na 4
 
< 0.1%

지주형식
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
단주식
5613 
부착식
3045 
내민식
 
291
편지식
 
158
복합식
 
129
Other values (6)
 
253

Length

Max length3
Median length3
Mean length2.99452
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부착식
2nd row부착식
3rd row부착식
4th row부착식
5th row단주식

Common Values

ValueCountFrequency (%)
단주식 5613
59.2%
부착식 3045
32.1%
내민식 291
 
3.1%
편지식 158
 
1.7%
복합식 129
 
1.4%
현수식 122
 
1.3%
기타 52
 
0.5%
측주식 38
 
0.4%
복주식 22
 
0.2%
미분류 13
 
0.1%

Length

2023-12-12T17:07:01.987819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단주식 5613
59.2%
부착식 3045
32.1%
내민식 291
 
3.1%
편지식 158
 
1.7%
복합식 129
 
1.4%
현수식 122
 
1.3%
기타 52
 
0.5%
측주식 38
 
0.4%
복주식 22
 
0.2%
미분류 13
 
0.1%

높이
Real number (ℝ)

SKEWED  ZEROS 

Distinct137
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8328064
Minimum0
Maximum205
Zeros470
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size83.5 KiB
2023-12-12T17:07:02.170038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q12.1
median2.5
Q33.1
95-th percentile5.8
Maximum205
Range205
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6058768
Coefficient of variation (CV)0.91989229
Kurtosis3831.9935
Mean2.8328064
Median Absolute Deviation (MAD)0.5
Skewness50.212648
Sum26880.5
Variance6.7905937
MonotonicityNot monotonic
2023-12-12T17:07:02.345352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 1241
 
13.1%
3.0 793
 
8.4%
2.0 601
 
6.3%
2.3 598
 
6.3%
5.0 482
 
5.1%
0.0 470
 
5.0%
1.0 449
 
4.7%
2.2 415
 
4.4%
2.4 324
 
3.4%
2.6 294
 
3.1%
Other values (127) 3822
40.3%
ValueCountFrequency (%)
0.0 470
5.0%
0.1 1
 
< 0.1%
0.2 3
 
< 0.1%
0.4 2
 
< 0.1%
0.5 4
 
< 0.1%
0.6 1
 
< 0.1%
0.65 1
 
< 0.1%
0.7 4
 
< 0.1%
0.8 6
 
0.1%
0.85 1
 
< 0.1%
ValueCountFrequency (%)
205.0 1
 
< 0.1%
50.0 1
 
< 0.1%
35.5 1
 
< 0.1%
13.7 2
 
< 0.1%
13.2 2
 
< 0.1%
12.04 2
 
< 0.1%
9.0 1
 
< 0.1%
8.0 14
0.1%
7.8 3
 
< 0.1%
7.7 1
 
< 0.1%

기재사항
Text

Distinct534
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size74.3 KiB
2023-12-12T17:07:02.691173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length5.1260407
Min length1

Characters and Unicode

Total characters48641
Distinct characters276
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)2.7%

Sample

1st row어린이보호구역
2nd row횡단보도
3rd row횡단보도
4th row서행
5th row서행
ValueCountFrequency (%)
횡단보도 2003
20.6%
서행 651
 
6.7%
과속방지턱 583
 
6.0%
최고속도제한 562
 
5.8%
정차주차금지 531
 
5.5%
견인지역 239
 
2.5%
어린이보호구역 198
 
2.0%
어린이보호 196
 
2.0%
주정차금지 188
 
1.9%
견인지역표시 173
 
1.8%
Other values (540) 4389
45.2%
2023-12-12T17:07:03.220851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 4006
 
8.2%
보 2851
 
5.9%
지 2309
 
4.7%
단 2167
 
4.5%
횡 2060
 
4.2%
차 2029
 
4.2%
속 1763
 
3.6%
로 1690
 
3.5%
제 1370
 
2.8%
한 1214
 
2.5%
Other values (266) 27182
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46158
94.9%
Decimal Number 1105
 
2.3%
Uppercase Letter 577
 
1.2%
Space Separator 269
 
0.6%
Other Punctuation 192
 
0.4%
Lowercase Letter 123
 
0.3%
Open Punctuation 107
 
0.2%
Close Punctuation 107
 
0.2%
Math Symbol 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 4006
 
8.7%
보 2851
 
6.2%
지 2309
 
5.0%
단 2167
 
4.7%
횡 2060
 
4.5%
차 2029
 
4.4%
속 1763
 
3.8%
로 1690
 
3.7%
제 1370
 
3.0%
한 1214
 
2.6%
Other values (227) 24699
53.5%
Uppercase Letter
ValueCountFrequency (%)
C 132
22.9%
K 103
17.9%
T 84
14.6%
V 66
11.4%
M 46
 
8.0%
U 45
 
7.8%
E 37
 
6.4%
A 26
 
4.5%
L 11
 
1.9%
D 11
 
1.9%
Other values (4) 16
 
2.8%
Decimal Number
ValueCountFrequency (%)
0 500
45.2%
3 231
20.9%
5 187
 
16.9%
2 59
 
5.3%
4 41
 
3.7%
1 34
 
3.1%
6 17
 
1.5%
7 14
 
1.3%
9 12
 
1.1%
8 10
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 85
44.3%
· 31
 
16.1%
/ 30
 
15.6%
. 25
 
13.0%
% 15
 
7.8%
: 4
 
2.1%
! 2
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
m 119
96.7%
k 2
 
1.6%
t 2
 
1.6%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
├ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46158
94.9%
Common 1783
 
3.7%
Latin 700
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 4006
 
8.7%
보 2851
 
6.2%
지 2309
 
5.0%
단 2167
 
4.7%
횡 2060
 
4.5%
차 2029
 
4.4%
속 1763
 
3.8%
로 1690
 
3.7%
제 1370
 
3.0%
한 1214
 
2.6%
Other values (227) 24699
53.5%
Common
ValueCountFrequency (%)
0 500
28.0%
269
15.1%
3 231
13.0%
5 187
 
10.5%
( 107
 
6.0%
) 107
 
6.0%
, 85
 
4.8%
2 59
 
3.3%
4 41
 
2.3%
1 34
 
1.9%
Other values (12) 163
 
9.1%
Latin
ValueCountFrequency (%)
C 132
18.9%
m 119
17.0%
K 103
14.7%
T 84
12.0%
V 66
9.4%
M 46
 
6.6%
U 45
 
6.4%
E 37
 
5.3%
A 26
 
3.7%
L 11
 
1.6%
Other values (7) 31
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46034
94.6%
ASCII 2451
 
5.0%
Compat Jamo 124
 
0.3%
None 31
 
0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 4006
 
8.7%
보 2851
 
6.2%
지 2309
 
5.0%
단 2167
 
4.7%
횡 2060
 
4.5%
차 2029
 
4.4%
속 1763
 
3.8%
로 1690
 
3.7%
제 1370
 
3.0%
한 1214
 
2.6%
Other values (223) 24575
53.4%
ASCII
ValueCountFrequency (%)
0 500
20.4%
269
11.0%
3 231
 
9.4%
5 187
 
7.6%
C 132
 
5.4%
m 119
 
4.9%
( 107
 
4.4%
) 107
 
4.4%
K 103
 
4.2%
, 85
 
3.5%
Other values (27) 611
24.9%
Compat Jamo
ValueCountFrequency (%)
ㅏ 67
54.0%
ㅓ 49
39.5%
ㅜ 6
 
4.8%
ㄴ 2
 
1.6%
None
ValueCountFrequency (%)
· 31
100.0%
Box Drawing
ValueCountFrequency (%)
├ 1
100.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct7331
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.26966
Minimum127.1455
Maximum127.44209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.5 KiB
2023-12-12T17:07:03.458844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.1455
5-th percentile127.17857
Q1127.23563
median127.25662
Q3127.30766
95-th percentile127.37471
Maximum127.44209
Range0.2965927
Interquartile range (IQR)0.0720305

Descriptive statistics

Standard deviation0.055358656
Coefficient of variation (CV)0.00043497134
Kurtosis-0.036059991
Mean127.26966
Median Absolute Deviation (MAD)0.0309016
Skewness0.36442264
Sum1207661.8
Variance0.0030645807
MonotonicityNot monotonic
2023-12-12T17:07:03.631558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1894236 7
 
0.1%
127.2514749 5
 
0.1%
127.2281413 5
 
0.1%
127.3375798 5
 
0.1%
127.3195602 5
 
0.1%
127.2307987 5
 
0.1%
127.2462578 5
 
0.1%
127.2597661 5
 
0.1%
127.2523286 5
 
0.1%
127.2915679 5
 
0.1%
Other values (7321) 9437
99.5%
ValueCountFrequency (%)
127.1454997 1
 
< 0.1%
127.145504 3
< 0.1%
127.145574 1
 
< 0.1%
127.1457362 2
< 0.1%
127.1457689 1
 
< 0.1%
127.1458127 1
 
< 0.1%
127.14602 2
< 0.1%
127.146339 1
 
< 0.1%
127.1464657 2
< 0.1%
127.1471381 2
< 0.1%
ValueCountFrequency (%)
127.4420924 1
< 0.1%
127.4347542 1
< 0.1%
127.4279626 1
< 0.1%
127.4247426 1
< 0.1%
127.4246592 1
< 0.1%
127.4243323 1
< 0.1%
127.4235167 1
< 0.1%
127.4232861 1
< 0.1%
127.4231684 1
< 0.1%
127.4223252 1
< 0.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct7362
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.400276
Minimum37.272856
Maximum37.532909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.5 KiB
2023-12-12T17:07:03.840765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.272856
5-th percentile37.342058
Q137.370413
median37.397579
Q337.422933
95-th percentile37.478246
Maximum37.532909
Range0.260053
Interquartile range (IQR)0.05252033

Descriptive statistics

Standard deviation0.044047702
Coefficient of variation (CV)0.0011777374
Kurtosis0.51065382
Mean37.400276
Median Absolute Deviation (MAD)0.02657703
Skewness0.40097421
Sum354891.22
Variance0.0019402
MonotonicityNot monotonic
2023-12-12T17:07:04.033517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.42988183 7
 
0.1%
37.37694966 5
 
0.1%
37.38387189 5
 
0.1%
37.38681006 5
 
0.1%
37.42868313 5
 
0.1%
37.42843628 5
 
0.1%
37.38253522 5
 
0.1%
37.39620252 5
 
0.1%
37.42999282 5
 
0.1%
37.40627878 5
 
0.1%
Other values (7352) 9437
99.5%
ValueCountFrequency (%)
37.27285595 1
< 0.1%
37.27401981 1
< 0.1%
37.27462216 1
< 0.1%
37.27495841 1
< 0.1%
37.27515958 2
< 0.1%
37.27584527 1
< 0.1%
37.27588634 2
< 0.1%
37.2761844 1
< 0.1%
37.27655431 1
< 0.1%
37.27670674 1
< 0.1%
ValueCountFrequency (%)
37.53290895 2
< 0.1%
37.53284545 1
< 0.1%
37.53276234 2
< 0.1%
37.53275042 1
< 0.1%
37.53274914 2
< 0.1%
37.53273662 1
< 0.1%
37.53244963 2
< 0.1%
37.53241185 1
< 0.1%
37.5322393 1
< 0.1%
37.53219003 1
< 0.1%

Interactions

2023-12-12T17:06:58.953553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:58.141722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:58.460837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:59.078188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:58.226820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:58.626878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:59.206478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:58.342336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:06:58.793502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:07:04.132704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역법정구역위치구분표지판구분지주형식높이경도위도
행정구역1.0000.9930.2160.2980.4070.0000.8820.903
법정구역0.9931.0000.2860.3650.4850.1020.9250.928
위치구분0.2160.2861.0000.1570.2170.0000.1980.228
표지판구분0.2980.3650.1571.0000.5920.0000.2530.204
지주형식0.4070.4850.2170.5921.0000.0680.3200.293
높이0.0000.1020.0000.0000.0681.0000.0110.000
경도0.8820.9250.1980.2530.3200.0111.0000.771
위도0.9030.9280.2280.2040.2930.0000.7711.000
2023-12-12T17:07:04.259218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정구역지주형식표지판구분행정구역위치구분
법정구역1.0000.1890.1610.8810.142
지주형식0.1891.0000.3430.1620.121
표지판구분0.1610.3431.0000.1370.100
행정구역0.8810.1620.1371.0000.112
위치구분0.1420.1210.1000.1121.000
2023-12-12T17:07:04.400665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
높이경도위도행정구역법정구역위치구분표지판구분지주형식
높이1.0000.0080.0190.0000.0530.0000.0000.041
경도0.0081.0000.0010.5980.6730.0840.1300.142
위도0.0190.0011.0000.6430.6800.0970.1040.129
행정구역0.0000.5980.6431.0000.8810.1120.1370.162
법정구역0.0530.6730.6800.8811.0000.1420.1610.189
위치구분0.0000.0840.0970.1120.1421.0000.1000.121
표지판구분0.0000.1300.1040.1370.1610.1001.0000.343
지주형식0.0410.1420.1290.1620.1890.1210.3431.000

Missing values

2023-12-12T17:06:59.355933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:06:59.597539image/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

지형지물부호행정구역법정구역설치일자위치구분표지판구분지주형식높이기재사항경도위도
0교통표지판초월읍초월읍2015-01-01우교통안전(기타)부착식2.5어린이보호구역127.30093637.369647
1교통표지판곤지암읍곤지암읍2000-01-01우교통안전(지시)부착식3.5횡단보도127.37493637.358989
2교통표지판곤지암읍곤지암읍2000-01-01우교통안전(주의)부착식2.5횡단보도127.37542137.359336
3교통표지판곤지암읍곤지암읍2000-01-01좌교통안전(규제)부착식2.5서행127.37936937.364664
4교통표지판곤지암읍곤지암읍2000-01-01우교통안전(규제)단주식2.5서행127.3795137.364871
5교통표지판곤지암읍곤지암읍2017-01-01우교통안전(주의)부착식2.5과속방지턱127.37734537.363526
6교통표지판곤지암읍곤지암읍2017-01-01우교통안전(주의)단주식2.5횡단보도127.37734937.363529
7교통표지판곤지암읍곤지암읍2017-01-01좌교통안전(주의)부착식2.5과속방지턱127.37738737.363422
8교통표지판곤지암읍곤지암읍2017-01-01좌교통안전(주의)단주식2.5우좌로이중굽은도로127.37736737.36342
9교통표지판경안동역동2000-01-01우교통안전(지시)부착식3.0횡단보도127.25612737.405742
지형지물부호행정구역법정구역설치일자위치구분표지판구분지주형식높이기재사항경도위도
9479교통표지판<NA><NA><NA>미분류교통안전(주의)부착식2.5횡단보도127.24422137.423245
9480교통표지판<NA><NA><NA>미분류교통안전(규제)부착식3.5최고속도제한30127.24465737.422669
9481교통표지판<NA><NA><NA>미분류교통안전(주의)부착식2.5전방100m 신호등127.27475937.472123
9482교통표지판<NA><NA><NA>미분류교통안전(주의)부착식2.5과속방지턱127.2758237.47331
9483교통표지판<NA><NA><NA>미분류교통안전(지시)부착식2.5횡단보도127.2754937.473015
9484교통표지판<NA><NA><NA>미분류교통안전(규제)단주식2.5천천히127.23780837.384125
9485교통표지판<NA><NA><NA>미분류교통안전(규제)단주식2.5천천히127.23789537.384136
9486교통표지판<NA><NA><NA>미분류교통안전(지시)단주식2.5자전거횡단127.24881237.394016
9487교통표지판<NA><NA><NA>미분류교통안전(주의)부착식3.5최고속도제한70127.24818237.393225
9488교통표지판<NA><NA><NA>미분류교통안전(지시)단주식2.5자전거횡단127.24812937.393053

Duplicate rows

Most frequently occurring

지형지물부호행정구역법정구역설치일자위치구분표지판구분지주형식높이기재사항경도위도# duplicates
23교통표지판송정동송정동2016-12-21우교통안전(보조)편지식6.0기타표지127.25976637.4299933
0교통표지판경안동경안동2021-01-01우교통안전(규제)부착식3.4정차, 주차금지127.25147537.4062792
1교통표지판경안동경안동2021-01-01우교통안전(보조)부착식3.4견인지역127.25147537.4062792
2교통표지판광남동목동1900-01-01우교통안전(주의)단주식2.3강변도로127.19186837.3815652
3교통표지판광남동장지동1900-01-01우교통안전(규제)단주식3.0서행127.23667337.4028262
4교통표지판광남동장지동1900-01-01좌교통안전(주의)단주식2.5미끄러운도로127.22470637.408622
5교통표지판광남동태전동1900-01-01좌교통안전(규제)단주식2.5정차주차금지127.2362437.3854862
6교통표지판광남동태전동2017-01-01좌교통안전(지시)단주식2.2자전거전용도로127.2333337.3879022
7교통표지판광남동태전동2017-01-01좌교통안전(지시)단주식2.3자전거및보행자겸용도로127.23076337.3891632
8교통표지판광남동태전동2017-01-01좌교통안전(지시)단주식2.3자전거및보행자겸용도로127.23213237.3888622