Overview

Dataset statistics

Number of variables22
Number of observations774
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory138.5 KiB
Average record size in memory183.2 B

Variable types

Numeric6
Categorical11
Text4
DateTime1

Dataset

Description제주특별자치도에서 제공하는 어린이보호구역 내 과속방지턱 관련 설치장소, 과속방지턱재료/형태구분/높이/폭/연장 등 정보 입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15076535/fileData.do

Alerts

시도명 has constant value ""Constant
과속방지턱재료 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
과속방지턱형태구분 is highly imbalanced (84.1%)Imbalance
과속방지턱높이 is highly imbalanced (85.8%)Imbalance
도로유형구분 is highly imbalanced (91.7%)Imbalance
관리번호 has unique valuesUnique
과속방지턱관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:38:51.722069
Analysis finished2023-12-12 21:38:52.255764
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct774
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.5
Minimum1
Maximum774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-13T06:38:52.319118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.65
Q1194.25
median387.5
Q3580.75
95-th percentile735.35
Maximum774
Range773
Interquartile range (IQR)386.5

Descriptive statistics

Standard deviation223.57885
Coefficient of variation (CV)0.57697766
Kurtosis-1.2
Mean387.5
Median Absolute Deviation (MAD)193.5
Skewness0
Sum299925
Variance49987.5
MonotonicityStrictly increasing
2023-12-13T06:38:52.449366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
486 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
Other values (764) 764
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%

과속방지턱관리번호
Real number (ℝ)

UNIQUE 

Distinct774
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.5
Minimum1
Maximum774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-13T06:38:52.565893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.65
Q1194.25
median387.5
Q3580.75
95-th percentile735.35
Maximum774
Range773
Interquartile range (IQR)386.5

Descriptive statistics

Standard deviation223.57885
Coefficient of variation (CV)0.57697766
Kurtosis-1.2
Mean387.5
Median Absolute Deviation (MAD)193.5
Skewness0
Sum299925
Variance49987.5
MonotonicityStrictly increasing
2023-12-13T06:38:52.687285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
486 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
515 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
Other values (764) 764
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%
768 1
0.1%
767 1
0.1%
766 1
0.1%
765 1
0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
제주특별자치도
774 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 774
100.0%

Length

2023-12-13T06:38:52.809358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:52.901071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 774
100.0%

시군구명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
서귀포시
401 
제주시
373 

Length

Max length4
Median length4
Mean length3.5180879
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 401
51.8%
제주시 373
48.2%

Length

2023-12-13T06:38:52.999279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:53.144830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 401
51.8%
제주시 373
48.2%
Distinct205
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T06:38:53.462980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.5090439
Min length3

Characters and Unicode

Total characters3490
Distinct characters157
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

Unique47 ?
Unique (%)6.1%

Sample

1st row수덕3길
2nd row수덕3길
3rd row정존9길
4th row수덕3길
5th row태성로
ValueCountFrequency (%)
중산간동로 50
 
6.5%
태위로 43
 
5.6%
태성로 33
 
4.3%
고성오조로 21
 
2.7%
효돈로 18
 
2.3%
한마음초등로 15
 
1.9%
표선동서로 12
 
1.6%
표선중앙로43번길 12
 
1.6%
한신로 12
 
1.6%
수시로 12
 
1.6%
Other values (195) 546
70.5%
2023-12-13T06:38:53.889233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
652
 
18.7%
313
 
9.0%
134
 
3.8%
101
 
2.9%
1 99
 
2.8%
95
 
2.7%
91
 
2.6%
85
 
2.4%
84
 
2.4%
2 73
 
2.1%
Other values (147) 1763
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3074
88.1%
Decimal Number 416
 
11.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
652
21.2%
313
 
10.2%
134
 
4.4%
101
 
3.3%
95
 
3.1%
91
 
3.0%
85
 
2.8%
84
 
2.7%
65
 
2.1%
59
 
1.9%
Other values (137) 1395
45.4%
Decimal Number
ValueCountFrequency (%)
1 99
23.8%
2 73
17.5%
4 45
10.8%
6 43
10.3%
5 35
 
8.4%
3 34
 
8.2%
7 29
 
7.0%
8 28
 
6.7%
0 16
 
3.8%
9 14
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3074
88.1%
Common 416
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
652
21.2%
313
 
10.2%
134
 
4.4%
101
 
3.3%
95
 
3.1%
91
 
3.0%
85
 
2.8%
84
 
2.7%
65
 
2.1%
59
 
1.9%
Other values (137) 1395
45.4%
Common
ValueCountFrequency (%)
1 99
23.8%
2 73
17.5%
4 45
10.8%
6 43
10.3%
5 35
 
8.4%
3 34
 
8.2%
7 29
 
7.0%
8 28
 
6.7%
0 16
 
3.8%
9 14
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3074
88.1%
ASCII 416
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
652
21.2%
313
 
10.2%
134
 
4.4%
101
 
3.3%
95
 
3.1%
91
 
3.0%
85
 
2.8%
84
 
2.7%
65
 
2.1%
59
 
1.9%
Other values (137) 1395
45.4%
ASCII
ValueCountFrequency (%)
1 99
23.8%
2 73
17.5%
4 45
10.8%
6 43
10.3%
5 35
 
8.4%
3 34
 
8.2%
7 29
 
7.0%
8 28
 
6.7%
0 16
 
3.8%
9 14
 
3.4%
Distinct270
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T06:38:54.306158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.222222
Min length17

Characters and Unicode

Total characters18748
Distinct characters158
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)15.1%

Sample

1st row제주특별자치도 제주시 노형로 383(노형동)
2nd row제주특별자치도 제주시 노형로 383(노형동)
3rd row제주특별자치도 제주시 노형로 383(노형동)
4th row제주특별자치도 제주시 노형로 383(노형동)
5th row제주특별자치도 제주시 노형로 383(노형동)
ValueCountFrequency (%)
제주특별자치도 774
21.5%
서귀포시 401
 
11.1%
제주시 373
 
10.3%
남원읍 103
 
2.9%
성산읍 78
 
2.2%
애월읍 49
 
1.4%
중산간동로 47
 
1.3%
표선면 44
 
1.2%
태위로 43
 
1.2%
구좌읍 34
 
0.9%
Other values (352) 1658
46.0%
2023-12-13T06:38:54.975972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2830
 
15.1%
1179
 
6.3%
1148
 
6.1%
898
 
4.8%
795
 
4.2%
776
 
4.1%
774
 
4.1%
774
 
4.1%
774
 
4.1%
696
 
3.7%
Other values (148) 8104
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13107
69.9%
Space Separator 2830
 
15.1%
Decimal Number 2315
 
12.3%
Close Punctuation 201
 
1.1%
Open Punctuation 201
 
1.1%
Dash Punctuation 94
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1179
 
9.0%
1148
 
8.8%
898
 
6.9%
795
 
6.1%
776
 
5.9%
774
 
5.9%
774
 
5.9%
774
 
5.9%
696
 
5.3%
459
 
3.5%
Other values (134) 4834
36.9%
Decimal Number
ValueCountFrequency (%)
1 437
18.9%
2 393
17.0%
6 212
9.2%
4 204
8.8%
8 204
8.8%
5 203
8.8%
7 202
8.7%
3 194
8.4%
0 134
 
5.8%
9 132
 
5.7%
Space Separator
ValueCountFrequency (%)
2830
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13107
69.9%
Common 5641
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1179
 
9.0%
1148
 
8.8%
898
 
6.9%
795
 
6.1%
776
 
5.9%
774
 
5.9%
774
 
5.9%
774
 
5.9%
696
 
5.3%
459
 
3.5%
Other values (134) 4834
36.9%
Common
ValueCountFrequency (%)
2830
50.2%
1 437
 
7.7%
2 393
 
7.0%
6 212
 
3.8%
4 204
 
3.6%
8 204
 
3.6%
5 203
 
3.6%
7 202
 
3.6%
) 201
 
3.6%
( 201
 
3.6%
Other values (4) 554
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13104
69.9%
ASCII 5641
30.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2830
50.2%
1 437
 
7.7%
2 393
 
7.0%
6 212
 
3.8%
4 204
 
3.6%
8 204
 
3.6%
5 203
 
3.6%
7 202
 
3.6%
) 201
 
3.6%
( 201
 
3.6%
Other values (4) 554
 
9.8%
Hangul
ValueCountFrequency (%)
1179
 
9.0%
1148
 
8.8%
898
 
6.9%
795
 
6.1%
776
 
5.9%
774
 
5.9%
774
 
5.9%
774
 
5.9%
696
 
5.3%
459
 
3.5%
Other values (133) 4831
36.9%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Distinct223
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T06:38:55.466425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23.408269
Min length18

Characters and Unicode

Total characters18118
Distinct characters128
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

Unique88 ?
Unique (%)11.4%

Sample

1st row제주특별자치도 제주시 노형동 2610-1
2nd row제주특별자치도 제주시 노형동 2610-1
3rd row제주특별자치도 제주시 노형동 2610-1
4th row제주특별자치도 제주시 노형동 2610-1
5th row제주특별자치도 제주시 노형동 2610-1
ValueCountFrequency (%)
제주특별자치도 774
22.2%
서귀포시 401
 
11.5%
제주시 373
 
10.7%
남원읍 103
 
3.0%
성산읍 78
 
2.2%
애월읍 49
 
1.4%
표선면 44
 
1.3%
수산리 43
 
1.2%
구좌읍 34
 
1.0%
노형동 30
 
0.9%
Other values (327) 1560
44.7%
2023-12-13T06:38:56.103748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2718
 
15.0%
1147
 
6.3%
1147
 
6.3%
888
 
4.9%
783
 
4.3%
774
 
4.3%
774
 
4.3%
774
 
4.3%
774
 
4.3%
1 737
 
4.1%
Other values (118) 7602
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11641
64.3%
Decimal Number 3356
 
18.5%
Space Separator 2718
 
15.0%
Dash Punctuation 403
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1147
 
9.9%
1147
 
9.9%
888
 
7.6%
783
 
6.7%
774
 
6.6%
774
 
6.6%
774
 
6.6%
774
 
6.6%
449
 
3.9%
444
 
3.8%
Other values (106) 3687
31.7%
Decimal Number
ValueCountFrequency (%)
1 737
22.0%
2 490
14.6%
4 353
10.5%
3 330
9.8%
6 312
9.3%
5 276
 
8.2%
0 263
 
7.8%
8 236
 
7.0%
9 180
 
5.4%
7 179
 
5.3%
Space Separator
ValueCountFrequency (%)
2718
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 403
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11641
64.3%
Common 6477
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1147
 
9.9%
1147
 
9.9%
888
 
7.6%
783
 
6.7%
774
 
6.6%
774
 
6.6%
774
 
6.6%
774
 
6.6%
449
 
3.9%
444
 
3.8%
Other values (106) 3687
31.7%
Common
ValueCountFrequency (%)
2718
42.0%
1 737
 
11.4%
2 490
 
7.6%
- 403
 
6.2%
4 353
 
5.5%
3 330
 
5.1%
6 312
 
4.8%
5 276
 
4.3%
0 263
 
4.1%
8 236
 
3.6%
Other values (2) 359
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11641
64.3%
ASCII 6477
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2718
42.0%
1 737
 
11.4%
2 490
 
7.6%
- 403
 
6.2%
4 353
 
5.5%
3 330
 
5.1%
6 312
 
4.8%
5 276
 
4.3%
0 263
 
4.1%
8 236
 
3.6%
Other values (2) 359
 
5.5%
Hangul
ValueCountFrequency (%)
1147
 
9.9%
1147
 
9.9%
888
 
7.6%
783
 
6.7%
774
 
6.6%
774
 
6.6%
774
 
6.6%
774
 
6.6%
449
 
3.9%
444
 
3.8%
Other values (106) 3687
31.7%
Distinct270
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T06:38:56.565245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.222222
Min length17

Characters and Unicode

Total characters18748
Distinct characters158
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)15.1%

Sample

1st row제주특별자치도 제주시 노형로 383(노형동)
2nd row제주특별자치도 제주시 노형로 383(노형동)
3rd row제주특별자치도 제주시 노형로 383(노형동)
4th row제주특별자치도 제주시 노형로 383(노형동)
5th row제주특별자치도 제주시 노형로 383(노형동)
ValueCountFrequency (%)
제주특별자치도 774
21.5%
서귀포시 401
 
11.1%
제주시 373
 
10.3%
남원읍 103
 
2.9%
성산읍 78
 
2.2%
애월읍 49
 
1.4%
중산간동로 47
 
1.3%
표선면 44
 
1.2%
태위로 43
 
1.2%
구좌읍 34
 
0.9%
Other values (352) 1658
46.0%
2023-12-13T06:38:57.189652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2830
 
15.1%
1179
 
6.3%
1148
 
6.1%
898
 
4.8%
795
 
4.2%
776
 
4.1%
774
 
4.1%
774
 
4.1%
774
 
4.1%
696
 
3.7%
Other values (148) 8104
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13107
69.9%
Space Separator 2830
 
15.1%
Decimal Number 2315
 
12.3%
Close Punctuation 201
 
1.1%
Open Punctuation 201
 
1.1%
Dash Punctuation 94
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1179
 
9.0%
1148
 
8.8%
898
 
6.9%
795
 
6.1%
776
 
5.9%
774
 
5.9%
774
 
5.9%
774
 
5.9%
696
 
5.3%
459
 
3.5%
Other values (134) 4834
36.9%
Decimal Number
ValueCountFrequency (%)
1 437
18.9%
2 393
17.0%
6 212
9.2%
4 204
8.8%
8 204
8.8%
5 203
8.8%
7 202
8.7%
3 194
8.4%
0 134
 
5.8%
9 132
 
5.7%
Space Separator
ValueCountFrequency (%)
2830
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13107
69.9%
Common 5641
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1179
 
9.0%
1148
 
8.8%
898
 
6.9%
795
 
6.1%
776
 
5.9%
774
 
5.9%
774
 
5.9%
774
 
5.9%
696
 
5.3%
459
 
3.5%
Other values (134) 4834
36.9%
Common
ValueCountFrequency (%)
2830
50.2%
1 437
 
7.7%
2 393
 
7.0%
6 212
 
3.8%
4 204
 
3.6%
8 204
 
3.6%
5 203
 
3.6%
7 202
 
3.6%
) 201
 
3.6%
( 201
 
3.6%
Other values (4) 554
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13104
69.9%
ASCII 5641
30.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2830
50.2%
1 437
 
7.7%
2 393
 
7.0%
6 212
 
3.8%
4 204
 
3.6%
8 204
 
3.6%
5 203
 
3.6%
7 202
 
3.6%
) 201
 
3.6%
( 201
 
3.6%
Other values (4) 554
 
9.8%
Hangul
ValueCountFrequency (%)
1179
 
9.0%
1148
 
8.8%
898
 
6.9%
795
 
6.1%
776
 
5.9%
774
 
5.9%
774
 
5.9%
774
 
5.9%
696
 
5.3%
459
 
3.5%
Other values (133) 4831
36.9%
Compat Jamo
ValueCountFrequency (%)
3
100.0%

과속방지턱재료
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
아스팔트
774 

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 774
100.0%

Length

2023-12-13T06:38:57.326084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:57.417226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아스팔트 774
100.0%

과속방지턱형태구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
원호형
756 
가상형
 
18

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원호형 756
97.7%
가상형 18
 
2.3%

Length

2023-12-13T06:38:57.525974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:57.652688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원호형 756
97.7%
가상형 18
 
2.3%

과속방지턱높이
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
10.0
750 
0.0
 
18
7.5
 
6

Length

Max length4
Median length4
Mean length3.9689922
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10.0
2nd row10.0
3rd row10.0
4th row10.0
5th row10.0

Common Values

ValueCountFrequency (%)
10.0 750
96.9%
0.0 18
 
2.3%
7.5 6
 
0.8%

Length

2023-12-13T06:38:57.796378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:57.916815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10.0 750
96.9%
0.0 18
 
2.3%
7.5 6
 
0.8%

과속방지턱폭
Real number (ℝ)

Distinct47
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean353.13953
Minimum130
Maximum3360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-13T06:38:58.033453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130
5-th percentile200
Q1350
median360
Q3360
95-th percentile420
Maximum3360
Range3230
Interquartile range (IQR)10

Descriptive statistics

Standard deviation130.20171
Coefficient of variation (CV)0.36869763
Kurtosis369.07123
Mean353.13953
Median Absolute Deviation (MAD)0
Skewness16.118227
Sum273330
Variance16952.485
MonotonicityNot monotonic
2023-12-13T06:38:58.193697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
360 397
51.3%
350 71
 
9.2%
370 45
 
5.8%
300 33
 
4.3%
380 21
 
2.7%
200 16
 
2.1%
170 15
 
1.9%
340 13
 
1.7%
400 13
 
1.7%
420 12
 
1.6%
Other values (37) 138
 
17.8%
ValueCountFrequency (%)
130 1
 
0.1%
140 3
 
0.4%
150 6
 
0.8%
170 15
1.9%
180 6
 
0.8%
190 4
 
0.5%
200 16
2.1%
210 2
 
0.3%
220 6
 
0.8%
230 4
 
0.5%
ValueCountFrequency (%)
3360 1
 
0.1%
870 1
 
0.1%
760 2
 
0.3%
750 1
 
0.1%
740 1
 
0.1%
680 1
 
0.1%
660 1
 
0.1%
590 1
 
0.1%
570 5
0.6%
540 3
0.4%

과속방지턱연장
Real number (ℝ)

Distinct100
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean731.13695
Minimum240
Maximum1850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-13T06:38:58.357706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240
5-th percentile430
Q1590
median710
Q3840
95-th percentile1100.5
Maximum1850
Range1610
Interquartile range (IQR)250

Descriptive statistics

Standard deviation217.24489
Coefficient of variation (CV)0.29713296
Kurtosis2.550063
Mean731.13695
Median Absolute Deviation (MAD)125
Skewness1.0021087
Sum565900
Variance47195.342
MonotonicityNot monotonic
2023-12-13T06:38:58.558719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
820 28
 
3.6%
650 22
 
2.8%
830 22
 
2.8%
780 22
 
2.8%
750 20
 
2.6%
700 19
 
2.5%
690 19
 
2.5%
570 19
 
2.5%
860 18
 
2.3%
670 17
 
2.2%
Other values (90) 568
73.4%
ValueCountFrequency (%)
240 1
 
0.1%
250 2
 
0.3%
260 1
 
0.1%
270 1
 
0.1%
310 1
 
0.1%
320 2
 
0.3%
330 4
0.5%
350 1
 
0.1%
360 5
0.6%
370 4
0.5%
ValueCountFrequency (%)
1850 1
 
0.1%
1760 1
 
0.1%
1650 2
 
0.3%
1500 1
 
0.1%
1480 1
 
0.1%
1440 1
 
0.1%
1400 2
 
0.3%
1330 3
0.4%
1320 6
0.8%
1310 2
 
0.3%

도로유형구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
일반
766 
소로
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 766
99.0%
소로 8
 
1.0%

Length

2023-12-13T06:38:58.725931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:58.814562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 766
99.0%
소로 8
 
1.0%

규격여부
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
있음
529 
없음
245 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row있음
3rd row없음
4th row없음
5th row있음

Common Values

ValueCountFrequency (%)
있음 529
68.3%
없음 245
31.7%

Length

2023-12-13T06:38:58.918099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:59.016620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 529
68.3%
없음 245
31.7%

위도
Real number (ℝ)

Distinct585
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.801552
Minimum33.168921
Maximum34.456767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-13T06:38:59.135054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.168921
5-th percentile33.243464
Q133.274285
median33.467329
Q334.392713
95-th percentile34.42143
Maximum34.456767
Range1.287846
Interquartile range (IQR)1.1184278

Descriptive statistics

Standard deviation0.53629128
Coefficient of variation (CV)0.015865877
Kurtosis-1.9217639
Mean33.801552
Median Absolute Deviation (MAD)0.2239375
Skewness0.15866227
Sum26162.401
Variance0.28760834
MonotonicityNot monotonic
2023-12-13T06:38:59.297986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.285452 6
 
0.8%
33.453231 6
 
0.8%
33.453635 6
 
0.8%
33.352969 6
 
0.8%
33.353062 6
 
0.8%
33.253643 4
 
0.5%
33.253797 4
 
0.5%
33.446057 3
 
0.4%
33.446414 3
 
0.4%
33.4471 3
 
0.4%
Other values (575) 727
93.9%
ValueCountFrequency (%)
33.168921 1
0.1%
33.169139 1
0.1%
33.224007 1
0.1%
33.224205 1
0.1%
33.224263 1
0.1%
33.224766 1
0.1%
33.224917 1
0.1%
33.225139 1
0.1%
33.232189 1
0.1%
33.232234 1
0.1%
ValueCountFrequency (%)
34.456767 1
0.1%
34.456758 1
0.1%
34.456744 1
0.1%
34.456668 1
0.1%
34.456238 1
0.1%
34.456216 1
0.1%
34.456026 1
0.1%
34.455793 1
0.1%
34.455462 1
0.1%
34.454204 1
0.1%

경도
Real number (ℝ)

Distinct587
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58352
Minimum126.16795
Maximum126.93168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-13T06:38:59.462017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16795
5-th percentile126.27692
Q1126.479
median126.55684
Q3126.71495
95-th percentile126.89556
Maximum126.93168
Range0.763736
Interquartile range (IQR)0.23594775

Descriptive statistics

Standard deviation0.18013585
Coefficient of variation (CV)0.0014230593
Kurtosis-0.46226246
Mean126.58352
Median Absolute Deviation (MAD)0.097009
Skewness0.10352114
Sum97975.643
Variance0.032448924
MonotonicityNot monotonic
2023-12-13T06:38:59.604671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.913716 6
 
0.8%
126.91357 6
 
0.8%
126.743001 6
 
0.8%
126.814265 6
 
0.8%
126.815475 6
 
0.8%
126.556844 4
 
0.5%
126.556146 4
 
0.5%
126.885075 3
 
0.4%
126.717257 3
 
0.4%
126.633519 3
 
0.4%
Other values (577) 727
93.9%
ValueCountFrequency (%)
126.167945 1
0.1%
126.16822 1
0.1%
126.169317 1
0.1%
126.169365 1
0.1%
126.169409 1
0.1%
126.169542 1
0.1%
126.173876 1
0.1%
126.174157 1
0.1%
126.176378 1
0.1%
126.17678 1
0.1%
ValueCountFrequency (%)
126.931681 3
0.4%
126.930554 3
0.4%
126.915073 3
0.4%
126.91503 3
0.4%
126.915008 3
0.4%
126.913716 6
0.8%
126.91357 6
0.8%
126.89737 3
0.4%
126.896711 3
0.4%
126.896188 1
 
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
있음
653 
없음
121 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row없음
3rd row있음
4th row있음
5th row있음

Common Values

ValueCountFrequency (%)
있음 653
84.4%
없음 121
 
15.6%

Length

2023-12-13T06:38:59.752597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:59.868207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 653
84.4%
없음 121
 
15.6%

연속형여부
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
없음
458 
있음
316 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 458
59.2%
있음 316
40.8%

Length

2023-12-13T06:38:59.972737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:00.101856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 458
59.2%
있음 316
40.8%

관리기관명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
서귀포시
401 
제주시
373 

Length

Max length4
Median length4
Mean length3.5180879
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 401
51.8%
제주시 373
48.2%

Length

2023-12-13T06:39:00.237037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:00.327659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 401
51.8%
제주시 373
48.2%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
064-120
774 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row064-120
2nd row064-120
3rd row064-120
4th row064-120
5th row064-120

Common Values

ValueCountFrequency (%)
064-120 774
100.0%

Length

2023-12-13T06:39:00.747027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:00.842387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
064-120 774
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2020-12-31 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T06:39:00.933617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:01.039960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

관리번호과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부관리기관명관리기관전화번호데이터기준일자
011제주특별자치도제주시수덕3길제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0340650일반없음34.38695126.470989없음있음제주시064-1202020-12-31
122제주특별자치도제주시수덕3길제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0360640일반있음34.385688126.469413없음있음제주시064-1202020-12-31
233제주특별자치도제주시정존9길제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0300510일반없음34.385394126.470229있음있음제주시064-1202020-12-31
344제주특별자치도제주시수덕3길제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0340520일반없음34.386135126.469963있음있음제주시064-1202020-12-31
455제주특별자치도제주시태성로제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0460900일반있음34.386532126.47041있음있음제주시064-1202020-12-31
566제주특별자치도제주시정존11길제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0540930일반있음34.386478126.470729있음있음제주시064-1202020-12-31
677제주특별자치도제주시정존11길제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0540930일반있음34.386124126.471135있음있음제주시064-1202020-12-31
788제주특별자치도제주시태성로제주특별자치도 제주시 노형로 383(노형동)제주특별자치도 제주시 노형동 2610-1제주특별자치도 제주시 노형로 383(노형동)아스팔트원호형10.0200580일반없음34.385612126.46997있음있음제주시064-1202020-12-31
899제주특별자치도제주시하귀9길제주특별자치도 제주시 애월읍 하귀9길 42제주특별자치도 제주시 애월읍 하귀리 158-1제주특별자치도 제주시 애월읍 하귀9길 42아스팔트원호형10.0470950일반있음34.383809126.409328있음있음제주시064-1202020-12-31
91010제주특별자치도제주시하귀9길제주특별자치도 제주시 애월읍 하귀9길 42제주특별자치도 제주시 애월읍 하귀리 158-1제주특별자치도 제주시 애월읍 하귀9길 42아스팔트원호형10.0370990일반있음34.385112126.409959있음있음제주시064-1202020-12-31
관리번호과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부관리기관명관리기관전화번호데이터기준일자
764765765제주특별자치도서귀포시시흥상동로68번길제주특별자치도 서귀포시 성산읍 시흥상동로68번길 30제주특별자치도 서귀포시 성산읍 시흥리 2644제주특별자치도 서귀포시 성산읍 시흥상동로68번길 30아스팔트원호형10.03501070일반없음33.476973126.896162있음없음서귀포시064-1202020-12-31
765766766제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 58제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 58아스팔트원호형10.0360810일반있음33.448815126.915008있음없음서귀포시064-1202020-12-31
766767767제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 58제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 58아스팔트원호형10.0360810일반있음33.448815126.915008있음없음서귀포시064-1202020-12-31
767768768제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 58제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 58아스팔트원호형10.0360810일반있음33.448815126.915008있음없음서귀포시064-1202020-12-31
768769769제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 56제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 56아스팔트원호형10.0360820일반있음33.448592126.91503있음없음서귀포시064-1202020-12-31
769770770제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 56제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 56아스팔트원호형10.0360820일반있음33.448592126.91503있음없음서귀포시064-1202020-12-31
770771771제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 56제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 56아스팔트원호형10.0360820일반있음33.448592126.91503있음없음서귀포시064-1202020-12-31
771772772제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 48-1제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 48-1아스팔트원호형10.03601010일반있음33.448038126.915073있음없음서귀포시064-1202020-12-31
772773773제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 48-1제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 48-1아스팔트원호형10.03601010일반있음33.448038126.915073있음없음서귀포시064-1202020-12-31
773774774제주특별자치도서귀포시고성오조로제주특별자치도 서귀포시 성산읍 고성오조로 48-1제주특별자치도 서귀포시 성산읍 고성리 2747제주특별자치도 서귀포시 성산읍 고성오조로 48-1아스팔트원호형10.03601010일반있음33.448038126.915073있음없음서귀포시064-1202020-12-31