Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory57.0 B

Variable types

Numeric3
Text2
DateTime1

Dataset

Description충청북도 증평군에 위치하는 무인교통단속카메라 위치 정보(위치,위도, 경도, 비고, 기준일자)이오니, 운전자분들은 안전운전에 유의하시기 바랍니다.
URLhttps://www.data.go.kr/data/15040492/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
위치 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:24:33.418436
Analysis finished2023-12-12 02:24:34.801326
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T11:24:34.871099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T11:24:35.013776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

위치
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T11:24:35.242640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length26.954545
Min length20

Characters and Unicode

Total characters593
Distinct characters71
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

Unique22 ?
Unique (%)100.0%

Sample

1st row충청북도 증평군 증평읍 연탄리 876번지선
2nd row충청북도 증평군 증평읍 초중리 초중사거리
3rd row충청북도 증평군 도안면 화성리 323-8번지선
4th row충청북도 증평군 증평읍 내성리 보건복지타운 앞 사거리
5th row충청북도 증평군 증평읍 내성리 보건복지타운 앞 사거리
ValueCountFrequency (%)
충청북도 22
16.4%
증평군 22
16.4%
증평읍 19
14.2%
앞 8
 
6.0%
초중리 5
 
3.7%
장동리 3
 
2.2%
도안면 3
 
2.2%
용강리 3
 
2.2%
보건복지타운 2
 
1.5%
윗장뜰육거리 2
 
1.5%
Other values (41) 45
33.6%
2023-12-12T11:24:35.626557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
19.9%
증 45
 
7.6%
평 43
 
7.3%
리 31
 
5.2%
도 26
 
4.4%
충 22
 
3.7%
북 22
 
3.7%
군 22
 
3.7%
청 22
 
3.7%
읍 19
 
3.2%
Other values (61) 223
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
68.3%
Space Separator 118
 
19.9%
Decimal Number 61
 
10.3%
Dash Punctuation 9
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 45
 
11.1%
평 43
 
10.6%
리 31
 
7.7%
도 26
 
6.4%
충 22
 
5.4%
북 22
 
5.4%
군 22
 
5.4%
청 22
 
5.4%
읍 19
 
4.7%
초 10
 
2.5%
Other values (49) 143
35.3%
Decimal Number
ValueCountFrequency (%)
1 12
19.7%
5 7
11.5%
3 7
11.5%
4 6
9.8%
8 6
9.8%
2 6
9.8%
0 5
8.2%
9 5
8.2%
6 4
 
6.6%
7 3
 
4.9%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
68.3%
Common 188
31.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 45
 
11.1%
평 43
 
10.6%
리 31
 
7.7%
도 26
 
6.4%
충 22
 
5.4%
북 22
 
5.4%
군 22
 
5.4%
청 22
 
5.4%
읍 19
 
4.7%
초 10
 
2.5%
Other values (49) 143
35.3%
Common
ValueCountFrequency (%)
118
62.8%
1 12
 
6.4%
- 9
 
4.8%
5 7
 
3.7%
3 7
 
3.7%
4 6
 
3.2%
8 6
 
3.2%
2 6
 
3.2%
0 5
 
2.7%
9 5
 
2.7%
Other values (2) 7
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
68.3%
ASCII 188
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
62.8%
1 12
 
6.4%
- 9
 
4.8%
5 7
 
3.7%
3 7
 
3.7%
4 6
 
3.2%
8 6
 
3.2%
2 6
 
3.2%
0 5
 
2.7%
9 5
 
2.7%
Other values (2) 7
 
3.7%
Hangul
ValueCountFrequency (%)
증 45
 
11.1%
평 43
 
10.6%
리 31
 
7.7%
도 26
 
6.4%
충 22
 
5.4%
북 22
 
5.4%
군 22
 
5.4%
청 22
 
5.4%
읍 19
 
4.7%
초 10
 
2.5%
Other values (49) 143
35.3%

위도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.420835
Minimum36.752856
Maximum336.80049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T11:24:35.762004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.752856
5-th percentile36.771064
Q136.776585
median36.77945
Q336.788259
95-th percentile36.818889
Maximum336.80049
Range300.04764
Interquartile range (IQR)0.011673473

Descriptive statistics

Standard deviation63.963795
Coefficient of variation (CV)1.2685985
Kurtosis21.999997
Mean50.420835
Median Absolute Deviation (MAD)0.00660681
Skewness4.6904153
Sum1109.2584
Variance4091.3671
MonotonicityNot monotonic
2023-12-12T11:24:35.895646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
36.80234686 1
 
4.5%
36.77510881 1
 
4.5%
36.78827652 1
 
4.5%
36.81610275 1
 
4.5%
36.75285565 1
 
4.5%
36.78250479 1
 
4.5%
36.77888711 1
 
4.5%
36.77934857 1
 
4.5%
36.77820556 1
 
4.5%
36.77103277 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
36.75285565 1
4.5%
36.77103277 1
4.5%
36.77165843 1
4.5%
36.77402774 1
4.5%
36.77510881 1
4.5%
36.77656735 1
4.5%
36.77663975 1
4.5%
36.77820556 1
4.5%
36.77823862 1
4.5%
36.77888711 1
4.5%
ValueCountFrequency (%)
336.8004943 1
4.5%
36.81903567 1
4.5%
36.81610275 1
4.5%
36.80234686 1
4.5%
36.79782308 1
4.5%
36.78827652 1
4.5%
36.78820613 1
4.5%
36.78810596 1
4.5%
36.78334809 1
4.5%
36.78250479 1
4.5%

경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.58814
Minimum127.54781
Maximum127.6203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T11:24:36.029380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.54781
5-th percentile127.56793
Q1127.57384
median127.5867
Q3127.59851
95-th percentile127.61324
Maximum127.6203
Range0.0724913
Interquartile range (IQR)0.024672225

Descriptive statistics

Standard deviation0.018696352
Coefficient of variation (CV)0.00014653676
Kurtosis-0.41263182
Mean127.58814
Median Absolute Deviation (MAD)0.013279
Skewness-0.038301582
Sum2806.939
Variance0.00034955357
MonotonicityNot monotonic
2023-12-12T11:24:36.151459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.5478115 1
 
4.5%
127.5698636 1
 
4.5%
127.5686928 1
 
4.5%
127.6126118 1
 
4.5%
127.6132491 1
 
4.5%
127.5912826 1
 
4.5%
127.5764983 1
 
4.5%
127.5793918 1
 
4.5%
127.5946619 1
 
4.5%
127.6203028 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
127.5478115 1
4.5%
127.5679262 1
4.5%
127.5679866 1
4.5%
127.5686928 1
4.5%
127.5698636 1
4.5%
127.5729493 1
4.5%
127.5764983 1
4.5%
127.5793918 1
4.5%
127.5858871 1
4.5%
127.5862825 1
4.5%
ValueCountFrequency (%)
127.6203028 1
4.5%
127.6132491 1
4.5%
127.6130512 1
4.5%
127.6128334 1
4.5%
127.6126118 1
4.5%
127.5995073 1
4.5%
127.5955132 1
4.5%
127.5946619 1
4.5%
127.5912826 1
4.5%
127.5893323 1
4.5%

비고
Text

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T11:24:36.333710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8
Min length7

Characters and Unicode

Total characters176
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)77.3%

Sample

1st row진천→증평방면
2nd row증평→청주방면
3rd row음성→증평방면
4th row삼보초→청안방면
5th row청안→삼보초방면
ValueCountFrequency (%)
방면 14
38.9%
청주→증평 3
 
8.3%
증평→청안 2
 
5.6%
청안→증평 2
 
5.6%
증평→충주 1
 
2.8%
진천→증평방면 1
 
2.8%
증평→음성 1
 
2.8%
율리→증평 1
 
2.8%
삼보교→삼보사거리 1
 
2.8%
증평→청주 1
 
2.8%
Other values (9) 9
25.0%
2023-12-12T11:24:36.665890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
→ 22
12.5%
방 22
12.5%
면 22
12.5%
증 19
10.8%
평 19
10.8%
16
9.1%
청 12
6.8%
안 9
 
5.1%
주 7
 
4.0%
삼 4
 
2.3%
Other values (15) 24
13.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
78.4%
Math Symbol 22
 
12.5%
Space Separator 16
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 22
15.9%
면 22
15.9%
증 19
13.8%
평 19
13.8%
청 12
8.7%
안 9
6.5%
주 7
 
5.1%
삼 4
 
2.9%
보 4
 
2.9%
성 2
 
1.4%
Other values (13) 18
13.0%
Math Symbol
ValueCountFrequency (%)
→ 22
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
78.4%
Common 38
 
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 22
15.9%
면 22
15.9%
증 19
13.8%
평 19
13.8%
청 12
8.7%
안 9
6.5%
주 7
 
5.1%
삼 4
 
2.9%
보 4
 
2.9%
성 2
 
1.4%
Other values (13) 18
13.0%
Common
ValueCountFrequency (%)
→ 22
57.9%
16
42.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
78.4%
Arrows 22
 
12.5%
ASCII 16
 
9.1%

Most frequent character per block

Arrows
ValueCountFrequency (%)
→ 22
100.0%
Hangul
ValueCountFrequency (%)
방 22
15.9%
면 22
15.9%
증 19
13.8%
평 19
13.8%
청 12
8.7%
안 9
6.5%
주 7
 
5.1%
삼 4
 
2.9%
보 4
 
2.9%
성 2
 
1.4%
Other values (13) 18
13.0%
ASCII
ValueCountFrequency (%)
16
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2023-12-12T11:24:36.788947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:36.875829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:24:34.246269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:33.651973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:33.953640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:34.355562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:33.746345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:34.029181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:34.474380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:33.852532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:24:34.121360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:24:36.943371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위치위도경도비고
연번1.0001.0000.0000.0000.623
위치1.0001.0001.0001.0001.000
위도0.0001.0001.0000.0001.000
경도0.0001.0000.0001.0000.899
비고0.6231.0001.0000.8991.000
2023-12-12T11:24:37.028790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.2510.181
위도-0.2511.000-0.094
경도0.181-0.0941.000

Missing values

2023-12-12T11:24:34.618618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:24:34.751447image/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

연번위치위도경도비고데이터기준일자
01충청북도 증평군 증평읍 연탄리 876번지선36.802347127.547811진천→증평방면2023-06-19
12충청북도 증평군 증평읍 초중리 초중사거리36.783348127.572949증평→청주방면2023-06-19
23충청북도 증평군 도안면 화성리 323-8번지선336.800494127.613051음성→증평방면2023-06-19
34충청북도 증평군 증평읍 내성리 보건복지타운 앞 사거리36.77664127.586282삼보초→청안방면2023-06-19
45충청북도 증평군 증평읍 내성리 보건복지타운 앞 사거리36.776567127.585887청안→삼보초방면2023-06-19
56충청북도 증평군 증평읍 용강리 증천교 앞 삼거리36.778239127.599507청안→증평방면2023-06-19
67충청북도 증평군 증평읍 미암리 미암4리 입구 삼거리36.797823127.589332도안→증평방면2023-06-19
78충청북도 증평군 도안면 노암리 95036.819036127.595513증평→도안방면2023-06-19
89충청북도 증평군 증평읍 장동리 893 윗장뜰육거리36.788106127.586345충주→증평 방면2023-06-19
910충청북도 증평군 증평읍 장동리 914 윗장뜰육거리36.788206127.58706증평→충주 방면2023-06-19
연번위치위도경도비고데이터기준일자
1213충청북도 증평군 증평읍 초중리 411-536.775109127.569864증평→청주 방면2023-06-19
1314충청북도 증평군 증평읍 용강리 281-1 용강2교차로36.771658127.612833증평→청안 방면2023-06-19
1415충청북도 증평군 증평읍 용강리 43-2 서호아파트교차로36.771033127.620303청안→증평 방면2023-06-19
1516충청북도 증평군 증평읍 증천리 1011 흑표아파트교차로36.778206127.594662증평→청안 방면2023-06-19
1617충청북도 증평군 증평읍 신동리 503 삼보초등학교 앞36.779349127.579392삼보교→삼보사거리 방면2023-06-19
1718충청북도 증평군 증평읍 초중리 11-69 증평여자중학교 앞36.778887127.576498청주→증평 방면2023-06-19
1819충청북도 증평군 증평읍 장동리 774 증평초등학교 앞36.782505127.591283청안→증평 방면2023-06-19
1920충청북도 증평군 증평읍 죽리 322-6 죽리초등학교 앞36.752856127.613249율리→증평 방면2023-06-19
2021충청북도 증평군 도안면 화성로 96 도안초등학교 앞36.816103127.612612증평→음성 방면2023-06-19
2122충청북도 증평군 증평읍 연탄리 505-5 연탄사거리36.788277127.568693증평→오창 방면2023-06-19