Overview

Dataset statistics

Number of variables6
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory52.5 B

Variable types

Numeric3
Text2
DateTime1

Dataset

Description강원도 춘천시 무인교통단속카메라 위치 정보 입니다.
Author강원도 춘천시
URLhttps://www.data.go.kr/data/15040545/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
카메라명 has unique valuesUnique
주 소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:38:38.943176
Analysis finished2023-12-12 04:38:40.612176
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T13:38:40.693595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2023-12-12T13:38:40.833575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

카메라명
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T13:38:41.084997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.7906977
Min length3

Characters and Unicode

Total characters584
Distinct characters175
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)100.0%

Sample

1st row공지천사거리
2nd row춘천역
3rd row시청광장입구
4th row한국은행 뒤
5th row동부동치안센터 옆
ValueCountFrequency (%)
옆 3
 
3.1%
사거리 2
 
2.1%
정문 2
 
2.1%
공지천사거리 1
 
1.0%
중부지구대 1
 
1.0%
석사주민센터 1
 
1.0%
봄내초등학교 1
 
1.0%
거두사거리 1
 
1.0%
중앙하이츠3차 1
 
1.0%
퇴계금호타운 1
 
1.0%
Other values (82) 82
85.4%
2023-12-12T13:38:41.491712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
거 33
 
5.7%
리 33
 
5.7%
사 30
 
5.1%
앞 16
 
2.7%
트 12
 
2.1%
천 11
 
1.9%
아 11
 
1.9%
교 10
 
1.7%
10
 
1.7%
공 9
 
1.5%
Other values (165) 409
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
94.5%
Decimal Number 13
 
2.2%
Space Separator 10
 
1.7%
Uppercase Letter 4
 
0.7%
Math Symbol 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 33
 
6.0%
리 33
 
6.0%
사 30
 
5.4%
앞 16
 
2.9%
트 12
 
2.2%
천 11
 
2.0%
아 11
 
2.0%
교 10
 
1.8%
공 9
 
1.6%
장 9
 
1.6%
Other values (151) 378
68.5%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
3 3
23.1%
9 2
 
15.4%
4 1
 
7.7%
2 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
S 1
25.0%
K 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
94.5%
Common 28
 
4.8%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 33
 
6.0%
리 33
 
6.0%
사 30
 
5.4%
앞 16
 
2.9%
트 12
 
2.2%
천 11
 
2.0%
아 11
 
2.0%
교 10
 
1.8%
공 9
 
1.6%
장 9
 
1.6%
Other values (151) 378
68.5%
Common
ValueCountFrequency (%)
10
35.7%
1 6
21.4%
3 3
 
10.7%
~ 2
 
7.1%
9 2
 
7.1%
4 1
 
3.6%
) 1
 
3.6%
( 1
 
3.6%
2 1
 
3.6%
- 1
 
3.6%
Latin
ValueCountFrequency (%)
B 1
25.0%
S 1
25.0%
K 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
94.5%
ASCII 32
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
거 33
 
6.0%
리 33
 
6.0%
사 30
 
5.4%
앞 16
 
2.9%
트 12
 
2.2%
천 11
 
2.0%
아 11
 
2.0%
교 10
 
1.8%
공 9
 
1.6%
장 9
 
1.6%
Other values (151) 378
68.5%
ASCII
ValueCountFrequency (%)
10
31.2%
1 6
18.8%
3 3
 
9.4%
~ 2
 
6.2%
9 2
 
6.2%
B 1
 
3.1%
S 1
 
3.1%
K 1
 
3.1%
4 1
 
3.1%
) 1
 
3.1%
Other values (4) 4
 
12.5%

주 소
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T13:38:41.856788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.174419
Min length14

Characters and Unicode

Total characters1477
Distinct characters61
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

Unique86 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 근화동 365-2
2nd row강원도 춘천시 근화동 194-4
3rd row강원도 춘천시 시청길 14
4th row강원도 춘천시 중앙로1가 62-4
5th row강원도 춘천시 옥천동 14-35
ValueCountFrequency (%)
강원도 86
24.2%
춘천시 86
24.2%
퇴계동 14
 
3.9%
효자동 11
 
3.1%
후평동 10
 
2.8%
온의동 9
 
2.5%
석사동 8
 
2.3%
앞 8
 
2.3%
근화동 4
 
1.1%
운교동 3
 
0.8%
Other values (112) 116
32.7%
2023-12-12T13:38:42.364188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
18.2%
천 88
 
6.0%
시 87
 
5.9%
원 87
 
5.9%
강 86
 
5.8%
도 86
 
5.8%
춘 86
 
5.8%
동 70
 
4.7%
- 66
 
4.5%
1 66
 
4.5%
Other values (51) 486
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
53.9%
Decimal Number 346
23.4%
Space Separator 269
 
18.2%
Dash Punctuation 66
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 88
11.1%
시 87
10.9%
원 87
10.9%
강 86
10.8%
도 86
10.8%
춘 86
10.8%
동 70
8.8%
퇴 16
 
2.0%
계 16
 
2.0%
로 14
 
1.8%
Other values (39) 160
20.1%
Decimal Number
ValueCountFrequency (%)
1 66
19.1%
6 45
13.0%
3 37
10.7%
5 35
10.1%
2 34
9.8%
9 29
8.4%
8 28
8.1%
7 27
7.8%
4 23
 
6.6%
0 22
 
6.4%
Space Separator
ValueCountFrequency (%)
269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
53.9%
Common 681
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 88
11.1%
시 87
10.9%
원 87
10.9%
강 86
10.8%
도 86
10.8%
춘 86
10.8%
동 70
8.8%
퇴 16
 
2.0%
계 16
 
2.0%
로 14
 
1.8%
Other values (39) 160
20.1%
Common
ValueCountFrequency (%)
269
39.5%
- 66
 
9.7%
1 66
 
9.7%
6 45
 
6.6%
3 37
 
5.4%
5 35
 
5.1%
2 34
 
5.0%
9 29
 
4.3%
8 28
 
4.1%
7 27
 
4.0%
Other values (2) 45
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
53.9%
ASCII 681
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
39.5%
- 66
 
9.7%
1 66
 
9.7%
6 45
 
6.6%
3 37
 
5.4%
5 35
 
5.1%
2 34
 
5.0%
9 29
 
4.3%
8 28
 
4.1%
7 27
 
4.0%
Other values (2) 45
 
6.6%
Hangul
ValueCountFrequency (%)
천 88
11.1%
시 87
10.9%
원 87
10.9%
강 86
10.8%
도 86
10.8%
춘 86
10.8%
동 70
8.8%
퇴 16
 
2.0%
계 16
 
2.0%
로 14
 
1.8%
Other values (39) 160
20.1%

위도
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.86597
Minimum37.367752
Maximum37.900079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T13:38:42.522718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.367752
5-th percentile37.851062
Q137.862235
median37.874074
Q337.881166
95-th percentile37.891499
Maximum37.900079
Range0.532327
Interquartile range (IQR)0.0189305

Descriptive statistics

Standard deviation0.056059543
Coefficient of variation (CV)0.0014804729
Kurtosis75.678215
Mean37.86597
Median Absolute Deviation (MAD)0.009441
Skewness-8.452825
Sum3256.4734
Variance0.0031426723
MonotonicityNot monotonic
2023-12-12T13:38:42.670685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.873761 1
 
1.2%
37.876544 1
 
1.2%
37.860821 1
 
1.2%
37.856999 1
 
1.2%
37.858562 1
 
1.2%
37.856291 1
 
1.2%
37.85547 1
 
1.2%
37.854024 1
 
1.2%
37.849746 1
 
1.2%
37.8605 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
37.367752 1
1.2%
37.806295 1
1.2%
37.848961 1
1.2%
37.849746 1
1.2%
37.850958 1
1.2%
37.851373 1
1.2%
37.852952 1
1.2%
37.854024 1
1.2%
37.854985 1
1.2%
37.85547 1
1.2%
ValueCountFrequency (%)
37.900079 1
1.2%
37.894888 1
1.2%
37.893307 1
1.2%
37.892823 1
1.2%
37.892183 1
1.2%
37.889448 1
1.2%
37.887691 1
1.2%
37.886274 1
1.2%
37.885807 1
1.2%
37.885477 1
1.2%

경도
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.73217
Minimum127.63496
Maximum127.75603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T13:38:42.832222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.63496
5-th percentile127.71762
Q1127.72463
median127.73183
Q3127.74236
95-th percentile127.7507
Maximum127.75603
Range0.121075
Interquartile range (IQR)0.017736

Descriptive statistics

Standard deviation0.015133826
Coefficient of variation (CV)0.00011848093
Kurtosis19.004002
Mean127.73217
Median Absolute Deviation (MAD)0.008248
Skewness-3.0302569
Sum10984.966
Variance0.0002290327
MonotonicityNot monotonic
2023-12-12T13:38:42.995474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.712898 1
 
1.2%
127.722589 1
 
1.2%
127.732826 1
 
1.2%
127.739996 1
 
1.2%
127.742051 1
 
1.2%
127.742815 1
 
1.2%
127.749466 1
 
1.2%
127.736307 1
 
1.2%
127.737508 1
 
1.2%
127.725287 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
127.63496 1
1.2%
127.708953 1
1.2%
127.712898 1
1.2%
127.715735 1
1.2%
127.717613 1
1.2%
127.717628 1
1.2%
127.718388 1
1.2%
127.7188 1
1.2%
127.719311 1
1.2%
127.719951 1
1.2%
ValueCountFrequency (%)
127.756035 1
1.2%
127.753459 1
1.2%
127.752642 1
1.2%
127.752475 1
1.2%
127.750865 1
1.2%
127.750203 1
1.2%
127.749774 1
1.2%
127.749466 1
1.2%
127.748937 1
1.2%
127.747182 1
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2019-09-30 00:00:00
Maximum2019-09-30 00:00:00
2023-12-12T13:38:43.115650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:43.217465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:38:40.081038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:39.284343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:39.810781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:40.175074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:39.653071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:39.893259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:40.294352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:39.728520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:39.982681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:38:43.303341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번카메라명주 소위도경도
순번1.0001.0001.0000.0960.557
카메라명1.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.000
위도0.0961.0001.0001.0000.736
경도0.5571.0001.0000.7361.000
2023-12-12T13:38:43.404799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.000-0.114-0.064
위도-0.1141.0000.074
경도-0.0640.0741.000

Missing values

2023-12-12T13:38:40.440363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:38:40.563360image/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

순번카메라명주 소위도경도데이터기준일자
01공지천사거리강원도 춘천시 근화동 365-237.873761127.7128982019-09-30
12춘천역강원도 춘천시 근화동 194-437.884703127.7176282019-09-30
23시청광장입구강원도 춘천시 시청길 1437.880276127.7291022019-09-30
34한국은행 뒤강원도 춘천시 중앙로1가 62-437.881577127.7294132019-09-30
45동부동치안센터 옆강원도 춘천시 옥천동 14-3537.88181127.7318612019-09-30
56강원일보사거리강원도 춘천시 중앙로1가 45-137.883127.7289362019-09-30
67온의 롯데마트 사거리강원도 춘천시 온의동 6-3137.868675127.7193112019-09-30
78석사사거리강원도 춘천시 석사동 68537.860386127.744012019-09-30
89세경3차 옆강원도 춘천시 후평동 86337.884474127.7436062019-09-30
910일성트루엘 정문강원도 춘천시 후평동 67-1637.876746127.7471822019-09-30
순번카메라명주 소위도경도데이터기준일자
7677강촌역앞강원도 춘천시 남산면 방곡리 41337.806295127.634962019-09-30
7778이편한세상아파트앞강원도 춘천시 요선동 20137.883622127.7269882019-09-30
7879그랜드아파트앞강원도 춘천시 석사동 725-137.867329127.7560352019-09-30
7980남춘천중학교앞강원도 춘천시 온의동 549-137.859877127.7203282019-09-30
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