Overview

Dataset statistics

Number of variables16
Number of observations385
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.5 KiB
Average record size in memory134.3 B

Variable types

Numeric4
Categorical9
Text2
DateTime1

Dataset

Description보령시 도로에 설치된 과속방지턱 현황 데이터 입니다. (과속방지턱 재료, 과속방지턱 형태, 과속방지턱 높이, 과속방지턱 연장, 설치 장소 위경도 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=332&beforeMenuCd=DOM_000000201001001000&publicdatapk=15088209

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
과속방지턱재료 has constant value ""Constant
과속방지턱폭 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
과속방지턱높이 is highly overall correlated with 과속방지턱형태구분High correlation
과속방지턱형태구분 is highly overall correlated with 과속방지턱높이High correlation
연번 is highly overall correlated with 위도High correlation
과속방지턱연장 is highly overall correlated with 도로유형구분High correlation
위도 is highly overall correlated with 연번High correlation
도로유형구분 is highly overall correlated with 과속방지턱연장High correlation
연번 has unique valuesUnique
소재지지번주소 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:55:49.747333
Analysis finished2024-01-09 19:55:52.815462
Duration3.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193
Minimum1
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T04:55:52.887058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.2
Q197
median193
Q3289
95-th percentile365.8
Maximum385
Range384
Interquartile range (IQR)192

Descriptive statistics

Standard deviation111.28417
Coefficient of variation (CV)0.57660192
Kurtosis-1.2
Mean193
Median Absolute Deviation (MAD)96
Skewness0
Sum74305
Variance12384.167
MonotonicityStrictly increasing
2024-01-10T04:55:53.017305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
290 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
Other values (375) 375
97.4%
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 (%)
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
충남도청
385 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남도청 385
100.0%

Length

2024-01-10T04:55:53.137443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:53.227480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남도청 385
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
보령시
385 

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 385
100.0%

Length

2024-01-10T04:55:53.335278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:53.417076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 385
100.0%

도로명
Text

Distinct60
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T04:55:53.605428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.9896104
Min length3

Characters and Unicode

Total characters1536
Distinct characters99
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

Unique13 ?
Unique (%)3.4%

Sample

1st row터미널길
2nd row터미널길
3rd row터미널길
4th row터미널길
5th row터미널길
ValueCountFrequency (%)
토정로 33
 
8.6%
대천방조제로 21
 
5.5%
판미로 18
 
4.7%
오천해안로 17
 
4.4%
삼현소송길 17
 
4.4%
심원계곡로 15
 
3.9%
해안로 15
 
3.9%
천변남길 15
 
3.9%
대창증산로 15
 
3.9%
월전로 12
 
3.1%
Other values (50) 207
53.8%
2024-01-10T04:55:54.056287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 308
 
20.1%
길 82
 
5.3%
천 73
 
4.8%
대 53
 
3.5%
산 44
 
2.9%
해 36
 
2.3%
토 33
 
2.1%
정 33
 
2.1%
미 32
 
2.1%
안 32
 
2.1%
Other values (89) 810
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1526
99.3%
Decimal Number 10
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 308
 
20.2%
길 82
 
5.4%
천 73
 
4.8%
대 53
 
3.5%
산 44
 
2.9%
해 36
 
2.4%
토 33
 
2.2%
정 33
 
2.2%
미 32
 
2.1%
안 32
 
2.1%
Other values (85) 800
52.4%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
2 2
 
20.0%
4 1
 
10.0%
7 1
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1526
99.3%
Common 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 308
 
20.2%
길 82
 
5.4%
천 73
 
4.8%
대 53
 
3.5%
산 44
 
2.9%
해 36
 
2.4%
토 33
 
2.2%
정 33
 
2.2%
미 32
 
2.1%
안 32
 
2.1%
Other values (85) 800
52.4%
Common
ValueCountFrequency (%)
1 6
60.0%
2 2
 
20.0%
4 1
 
10.0%
7 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1526
99.3%
ASCII 10
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 308
 
20.2%
길 82
 
5.4%
천 73
 
4.8%
대 53
 
3.5%
산 44
 
2.9%
해 36
 
2.4%
토 33
 
2.2%
정 33
 
2.2%
미 32
 
2.1%
안 32
 
2.1%
Other values (85) 800
52.4%
ASCII
ValueCountFrequency (%)
1 6
60.0%
2 2
 
20.0%
4 1
 
10.0%
7 1
 
10.0%

소재지지번주소
Text

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T04:55:54.304843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.124675
Min length12

Characters and Unicode

Total characters7363
Distinct characters89
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

Unique385 ?
Unique (%)100.0%

Sample

1st row충남 보령시 내항동 342-8
2nd row충남 보령시 궁촌동 339-3
3rd row충남 보령시 궁촌동 339-2
4th row충남 보령시 궁촌동 343-1
5th row충남 보령시 궁촌동 344-2
ValueCountFrequency (%)
보령시 385
21.3%
충남 284
 
15.7%
충청남도 101
 
5.6%
웅천읍 70
 
3.9%
대천동 41
 
2.3%
주교면 40
 
2.2%
남포면 35
 
1.9%
오천면 32
 
1.8%
성주면 28
 
1.6%
신흑동 27
 
1.5%
Other values (440) 763
42.2%
2024-01-10T04:55:54.603456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1421
19.3%
남 420
 
5.7%
보 398
 
5.4%
충 385
 
5.2%
령 385
 
5.2%
시 385
 
5.2%
- 335
 
4.5%
1 294
 
4.0%
리 246
 
3.3%
2 199
 
2.7%
Other values (79) 2895
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4044
54.9%
Decimal Number 1563
 
21.2%
Space Separator 1421
 
19.3%
Dash Punctuation 335
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 420
 
10.4%
보 398
 
9.8%
충 385
 
9.5%
령 385
 
9.5%
시 385
 
9.5%
리 246
 
6.1%
면 176
 
4.4%
천 174
 
4.3%
동 164
 
4.1%
청 113
 
2.8%
Other values (67) 1198
29.6%
Decimal Number
ValueCountFrequency (%)
1 294
18.8%
2 199
12.7%
3 194
12.4%
4 181
11.6%
5 155
9.9%
7 123
7.9%
0 114
 
7.3%
6 112
 
7.2%
8 109
 
7.0%
9 82
 
5.2%
Space Separator
ValueCountFrequency (%)
1421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4044
54.9%
Common 3319
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 420
 
10.4%
보 398
 
9.8%
충 385
 
9.5%
령 385
 
9.5%
시 385
 
9.5%
리 246
 
6.1%
면 176
 
4.4%
천 174
 
4.3%
동 164
 
4.1%
청 113
 
2.8%
Other values (67) 1198
29.6%
Common
ValueCountFrequency (%)
1421
42.8%
- 335
 
10.1%
1 294
 
8.9%
2 199
 
6.0%
3 194
 
5.8%
4 181
 
5.5%
5 155
 
4.7%
7 123
 
3.7%
0 114
 
3.4%
6 112
 
3.4%
Other values (2) 191
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4044
54.9%
ASCII 3319
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1421
42.8%
- 335
 
10.1%
1 294
 
8.9%
2 199
 
6.0%
3 194
 
5.8%
4 181
 
5.5%
5 155
 
4.7%
7 123
 
3.7%
0 114
 
3.4%
6 112
 
3.4%
Other values (2) 191
 
5.8%
Hangul
ValueCountFrequency (%)
남 420
 
10.4%
보 398
 
9.8%
충 385
 
9.5%
령 385
 
9.5%
시 385
 
9.5%
리 246
 
6.1%
면 176
 
4.4%
천 174
 
4.3%
동 164
 
4.1%
청 113
 
2.8%
Other values (67) 1198
29.6%

과속방지턱재료
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
아스팔트
385 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아스팔트 385
100.0%

Length

2024-01-10T04:55:54.752786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:54.915117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아스팔트 385
100.0%

과속방지턱형태구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
가상형
270 
원호형
115 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가상형 270
70.1%
원호형 115
29.9%

Length

2024-01-10T04:55:55.024043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:55.178934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가상형 270
70.1%
원호형 115
29.9%

과속방지턱높이
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
270 
10
115 

Length

Max length2
Median length1
Mean length1.2987013
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 270
70.1%
10 115
29.9%

Length

2024-01-10T04:55:55.343328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:55.490542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 270
70.1%
10 115
29.9%

과속방지턱폭
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3.6
385 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.6
2nd row3.6
3rd row3.6
4th row3.6
5th row3.6

Common Values

ValueCountFrequency (%)
3.6 385
100.0%

Length

2024-01-10T04:55:55.705311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:55.888777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.6 385
100.0%

과속방지턱연장
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.825974
Minimum3
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T04:55:56.074920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q16
median6
Q37
95-th percentile12
Maximum15
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1489704
Coefficient of variation (CV)0.31482252
Kurtosis3.8047176
Mean6.825974
Median Absolute Deviation (MAD)0
Skewness1.8683041
Sum2628
Variance4.6180736
MonotonicityNot monotonic
2024-01-10T04:55:56.266702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 229
59.5%
7 51
 
13.2%
5 19
 
4.9%
9 17
 
4.4%
11 14
 
3.6%
8 11
 
2.9%
3 10
 
2.6%
12 9
 
2.3%
14 8
 
2.1%
10 6
 
1.6%
Other values (3) 11
 
2.9%
ValueCountFrequency (%)
3 10
 
2.6%
4 6
 
1.6%
5 19
 
4.9%
6 229
59.5%
7 51
 
13.2%
8 11
 
2.9%
9 17
 
4.4%
10 6
 
1.6%
11 14
 
3.6%
12 9
 
2.3%
ValueCountFrequency (%)
15 4
 
1.0%
14 8
 
2.1%
13 1
 
0.3%
12 9
 
2.3%
11 14
 
3.6%
10 6
 
1.6%
9 17
 
4.4%
8 11
 
2.9%
7 51
 
13.2%
6 229
59.5%

도로유형구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
소로
304 
일반
81 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row소로
3rd row소로
4th row소로
5th row소로

Common Values

ValueCountFrequency (%)
소로 304
79.0%
일반 81
 
21.0%

Length

2024-01-10T04:55:56.499046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:56.717762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소로 304
79.0%
일반 81
 
21.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct384
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.318955
Minimum36.178881
Maximum36.451715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T04:55:56.950294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.178881
5-th percentile36.204149
Q136.264475
median36.339748
Q336.356272
95-th percentile36.426582
Maximum36.451715
Range0.27283409
Interquartile range (IQR)0.09179707

Descriptive statistics

Standard deviation0.064357085
Coefficient of variation (CV)0.0017719972
Kurtosis-0.62372615
Mean36.318955
Median Absolute Deviation (MAD)0.03375588
Skewness-0.30083312
Sum13982.798
Variance0.0041418344
MonotonicityNot monotonic
2024-01-10T04:55:57.263715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.33287375 2
 
0.5%
36.34178142 1
 
0.3%
36.32717344 1
 
0.3%
36.34742968 1
 
0.3%
36.34683619 1
 
0.3%
36.17888056 1
 
0.3%
36.17937355 1
 
0.3%
36.18016038 1
 
0.3%
36.18020407 1
 
0.3%
36.18979837 1
 
0.3%
Other values (374) 374
97.1%
ValueCountFrequency (%)
36.17888056 1
0.3%
36.17937355 1
0.3%
36.18016038 1
0.3%
36.18020407 1
0.3%
36.18979837 1
0.3%
36.19666726 1
0.3%
36.19705691 1
0.3%
36.19726885 1
0.3%
36.19743118 1
0.3%
36.19755776 1
0.3%
ValueCountFrequency (%)
36.45171465 1
0.3%
36.45160504 1
0.3%
36.44979056 1
0.3%
36.44887237 1
0.3%
36.44247459 1
0.3%
36.44245463 1
0.3%
36.4394565 1
0.3%
36.43898332 1
0.3%
36.43872242 1
0.3%
36.43803029 1
0.3%

경도
Real number (ℝ)

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58111
Minimum126.49698
Maximum126.68573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T04:55:57.579994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49698
5-th percentile126.5108
Q1126.5432
median126.58341
Q3126.6039
95-th percentile126.67433
Maximum126.68573
Range0.1887508
Interquartile range (IQR)0.0606979

Descriptive statistics

Standard deviation0.047460061
Coefficient of variation (CV)0.00037493793
Kurtosis-0.5705435
Mean126.58111
Median Absolute Deviation (MAD)0.0315636
Skewness0.31385328
Sum48733.729
Variance0.0022524574
MonotonicityNot monotonic
2024-01-10T04:55:57.898073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5858867 1
 
0.3%
126.6007064 1
 
0.3%
126.5876195 1
 
0.3%
126.601156 1
 
0.3%
126.6002217 1
 
0.3%
126.5980834 1
 
0.3%
126.5976639 1
 
0.3%
126.5889055 1
 
0.3%
126.5861464 1
 
0.3%
126.5860858 1
 
0.3%
Other values (375) 375
97.4%
ValueCountFrequency (%)
126.4969796 1
0.3%
126.498894 1
0.3%
126.4991038 1
0.3%
126.5009436 1
0.3%
126.5028131 1
0.3%
126.5036503 1
0.3%
126.5037927 1
0.3%
126.5039747 1
0.3%
126.5043876 1
0.3%
126.5045326 1
0.3%
ValueCountFrequency (%)
126.6857304 1
0.3%
126.6805907 1
0.3%
126.6804788 1
0.3%
126.6804314 1
0.3%
126.6792844 1
0.3%
126.6768864 1
0.3%
126.6758626 1
0.3%
126.6758287 1
0.3%
126.6756781 1
0.3%
126.6756326 1
0.3%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
보령시청
385 

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 385
100.0%

Length

2024-01-10T04:55:58.205954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:58.363899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시청 385
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
041-930-3982
385 

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 385
100.0%

Length

2024-01-10T04:55:58.566360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:55:58.718724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-930-3982 385
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2023-08-28 00:00:00
Maximum2023-08-28 00:00:00
2024-01-10T04:55:58.858341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:58.994843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T04:55:52.103213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:50.636281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.368356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.743539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:52.197318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:50.799920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.468621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.855133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:52.284456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:50.897172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.566772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.934666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:52.377321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.283824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:51.658719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:55:52.009752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:55:59.112357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명과속방지턱형태구분과속방지턱높이과속방지턱연장도로유형구분위도경도
연번1.0000.9960.5880.5880.6890.5940.9170.864
도로명0.9961.0000.6510.6510.8610.8940.9780.981
과속방지턱형태구분0.5880.6511.0001.0000.3120.1720.2750.154
과속방지턱높이0.5880.6511.0001.0000.3120.1720.2750.154
과속방지턱연장0.6890.8610.3120.3121.0000.8200.6800.553
도로유형구분0.5940.8940.1720.1720.8201.0000.4570.450
위도0.9170.9780.2750.2750.6800.4571.0000.810
경도0.8640.9810.1540.1540.5530.4500.8101.000
2024-01-10T04:55:59.649898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로유형구분과속방지턱높이과속방지턱형태구분
도로유형구분1.0000.1100.110
과속방지턱높이0.1101.0000.994
과속방지턱형태구분0.1100.9941.000
2024-01-10T04:55:59.788349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번과속방지턱연장위도경도과속방지턱형태구분과속방지턱높이도로유형구분
연번1.0000.2080.544-0.3040.4500.4500.454
과속방지턱연장0.2081.0000.434-0.1140.2080.2080.668
위도0.5440.4341.000-0.3070.2090.2090.347
경도-0.304-0.114-0.3071.0000.1160.1160.342
과속방지턱형태구분0.4500.2080.2090.1161.0000.9940.110
과속방지턱높이0.4500.2080.2090.1160.9941.0000.110
도로유형구분0.4540.6680.3470.3420.1100.1101.000

Missing values

2024-01-10T04:55:52.519153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:55:52.739063image/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

연번시도명시군구명도로명소재지지번주소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분위도경도관리기관명관리기관전화번호데이터기준일자
01충남도청보령시터미널길충남 보령시 내항동 342-8아스팔트가상형03.611일반36.341781126.585887보령시청041-930-39822023-08-28
12충남도청보령시터미널길충남 보령시 궁촌동 339-3아스팔트가상형03.66소로36.343013126.586847보령시청041-930-39822023-08-28
23충남도청보령시터미널길충남 보령시 궁촌동 339-2아스팔트가상형03.66소로36.343915126.587002보령시청041-930-39822023-08-28
34충남도청보령시터미널길충남 보령시 궁촌동 343-1아스팔트가상형03.66소로36.342095126.587737보령시청041-930-39822023-08-28
45충남도청보령시터미널길충남 보령시 궁촌동 344-2아스팔트가상형03.66소로36.341515126.588117보령시청041-930-39822023-08-28
56충남도청보령시터미널길충남 보령시 궁촌동 345-2아스팔트가상형03.66소로36.342159126.58915보령시청041-930-39822023-08-28
67충남도청보령시터미널길충남 보령시 궁촌동 345-3아스팔트가상형03.612일반36.342056126.589226보령시청041-930-39822023-08-28
78충남도청보령시해안로충남 보령시 내항동 890-14아스팔트가상형03.66소로36.345594126.585205보령시청041-930-39822023-08-28
89충남도청보령시해안로충남 보령시 내항동 889-9아스팔트가상형03.66소로36.344979126.586964보령시청041-930-39822023-08-28
910충남도청보령시터미널길충남 보령시 궁촌동 342-4아스팔트가상형03.66소로36.342967126.589461보령시청041-930-39822023-08-28
연번시도명시군구명도로명소재지지번주소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분위도경도관리기관명관리기관전화번호데이터기준일자
375376충남도청보령시도미향로충청남도 보령시 오천면 교성리 1212-6아스팔트가상형03.67소로36.448872126.552343보령시청041-930-39822023-08-28
376377충남도청보령시충청수영로충청남도 보령시 오천면 교성리 69-2아스팔트가상형03.67소로36.436815126.557314보령시청041-930-39822023-08-28
377378충남도청보령시충청수영로충청남도 보령시 오천면 교성리 1315-12아스팔트가상형03.67일반36.436142126.557437보령시청041-930-39822023-08-28
378379충남도청보령시충청수영로충청남도 보령시 주포면 마강리 513아스팔트가상형03.67소로36.42519126.567294보령시청041-930-39822023-08-28
379380충남도청보령시충청수영로충청남도 보령시 주포면 마강리 473-1아스팔트가상형03.67소로36.424897126.569072보령시청041-930-39822023-08-28
380381충남도청보령시도미향로충청남도 보령시 오천면 교성리 212-28아스팔트가상형03.66소로36.449791126.553548보령시청041-930-39822023-08-28
381382충남도청보령시도미향로충청남도 보령시 오천면 교성리 210-17아스팔트가상형03.67소로36.451605126.556192보령시청041-930-39822023-08-28
382383충남도청보령시도미향로충청남도 보령시 오천면 교성리 210-9아스팔트가상형03.66소로36.451715126.556895보령시청041-930-39822023-08-28
383384충남도청보령시도미향로충청남도 보령시 청소면 진죽리 513-3아스팔트가상형03.67소로36.442475126.587431보령시청041-930-39822023-08-28
384385충남도청보령시도미향로충청남도 보령시 청소면 진죽리 470-2아스팔트가상형03.67소로36.442455126.588177보령시청041-930-39822023-08-28