Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory51.3 B

Variable types

Text2
Numeric2
Categorical2

Dataset

Description고정형CCTV지번주소,위도,경도,자치구,단속지점명,현장구분
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20476/S/1/datasetView.do

Alerts

자치구 has constant value ""Constant
현장구분 has constant value ""Constant
단속지점명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 11:10:30.185716
Analysis finished2024-04-06 11:10:33.308888
Duration3.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고정형CCTV지번주소
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-06T20:10:33.666556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length16.01
Min length14

Characters and Unicode

Total characters1601
Distinct characters27
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

Unique98 ?
Unique (%)98.0%

Sample

1st row서울 광진구 광장동 334-2
2nd row서울 광진구 광장동 445-3
3rd row서울 광진구 구의동 135
4th row서울 광진구 군자동 503
5th row서울 광진구 구의동 66-62
ValueCountFrequency (%)
서울 100
25.0%
광진구 100
25.0%
구의동 26
 
6.5%
자양동 25
 
6.2%
중곡동 23
 
5.8%
광장동 10
 
2.5%
군자동 6
 
1.5%
화양동 5
 
1.2%
능동 5
 
1.2%
546-6 2
 
0.5%
Other values (98) 98
24.5%
2024-04-06T20:10:34.393631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
18.7%
구 126
 
7.9%
광 110
 
6.9%
서 100
 
6.2%
진 100
 
6.2%
동 100
 
6.2%
울 100
 
6.2%
- 89
 
5.6%
1 70
 
4.4%
5 59
 
3.7%
Other values (17) 447
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 795
49.7%
Decimal Number 417
26.0%
Space Separator 300
 
18.7%
Dash Punctuation 89
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 126
15.8%
광 110
13.8%
서 100
12.6%
진 100
12.6%
동 100
12.6%
울 100
12.6%
자 31
 
3.9%
양 30
 
3.8%
의 26
 
3.3%
곡 23
 
2.9%
Other values (5) 49
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 70
16.8%
5 59
14.1%
6 51
12.2%
2 51
12.2%
3 47
11.3%
4 44
10.6%
7 26
 
6.2%
9 26
 
6.2%
8 25
 
6.0%
0 18
 
4.3%
Space Separator
ValueCountFrequency (%)
300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 806
50.3%
Hangul 795
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 126
15.8%
광 110
13.8%
서 100
12.6%
진 100
12.6%
동 100
12.6%
울 100
12.6%
자 31
 
3.9%
양 30
 
3.8%
의 26
 
3.3%
곡 23
 
2.9%
Other values (5) 49
 
6.2%
Common
ValueCountFrequency (%)
300
37.2%
- 89
 
11.0%
1 70
 
8.7%
5 59
 
7.3%
6 51
 
6.3%
2 51
 
6.3%
3 47
 
5.8%
4 44
 
5.5%
7 26
 
3.2%
9 26
 
3.2%
Other values (2) 43
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 806
50.3%
Hangul 795
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
300
37.2%
- 89
 
11.0%
1 70
 
8.7%
5 59
 
7.3%
6 51
 
6.3%
2 51
 
6.3%
3 47
 
5.8%
4 44
 
5.5%
7 26
 
3.2%
9 26
 
3.2%
Other values (2) 43
 
5.3%
Hangul
ValueCountFrequency (%)
구 126
15.8%
광 110
13.8%
서 100
12.6%
진 100
12.6%
동 100
12.6%
울 100
12.6%
자 31
 
3.9%
양 30
 
3.8%
의 26
 
3.3%
곡 23
 
2.9%
Other values (5) 49
 
6.2%

위도
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.545991
Minimum37.529962
Maximum37.56861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T20:10:34.677941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.529962
5-th percentile37.531578
Q137.536976
median37.543744
Q337.55461
95-th percentile37.565225
Maximum37.56861
Range0.038647326
Interquartile range (IQR)0.017634276

Descriptive statistics

Standard deviation0.010995684
Coefficient of variation (CV)0.00029285906
Kurtosis-0.96182565
Mean37.545991
Median Absolute Deviation (MAD)0.008381
Skewness0.44771896
Sum3754.5991
Variance0.00012090506
MonotonicityNot monotonic
2024-04-06T20:10:34.998063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.535668 2
 
2.0%
37.54779 1
 
1.0%
37.5299624437584 1
 
1.0%
37.5489897149711 1
 
1.0%
37.533847380565 1
 
1.0%
37.5413474726287 1
 
1.0%
37.5392387203809 1
 
1.0%
37.5370965949427 1
 
1.0%
37.5587777594216 1
 
1.0%
37.5625346757734 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
37.5299624437584 1
1.0%
37.5303930066146 1
1.0%
37.5307272817742 1
1.0%
37.5308458076493 1
1.0%
37.531472 1
1.0%
37.5315831314266 1
1.0%
37.532018 1
1.0%
37.532199 1
1.0%
37.5322597934091 1
1.0%
37.5322670052634 1
1.0%
ValueCountFrequency (%)
37.5686097694919 1
1.0%
37.567767 1
1.0%
37.5663599313011 1
1.0%
37.5661150659734 1
1.0%
37.565519763629 1
1.0%
37.5652098823928 1
1.0%
37.5651389985817 1
1.0%
37.5650744665213 1
1.0%
37.565014 1
1.0%
37.563888 1
1.0%

경도
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08351
Minimum127.06256
Maximum127.10761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T20:10:35.317783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06256
5-th percentile127.06852
Q1127.07583
median127.08276
Q3127.09104
95-th percentile127.10076
Maximum127.10761
Range0.045049578
Interquartile range (IQR)0.015206024

Descriptive statistics

Standard deviation0.010337923
Coefficient of variation (CV)8.1347478 × 10-5
Kurtosis-0.59774313
Mean127.08351
Median Absolute Deviation (MAD)0.0076781934
Skewness0.19030766
Sum12708.351
Variance0.00010687265
MonotonicityNot monotonic
2024-04-06T20:10:35.639155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.094522 2
 
2.0%
127.10699 1
 
1.0%
127.078495210099 1
 
1.0%
127.088134740746 1
 
1.0%
127.07502891744 1
 
1.0%
127.088695464545 1
 
1.0%
127.095129889791 1
 
1.0%
127.092288798461 1
 
1.0%
127.077109227351 1
 
1.0%
127.076924081875 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
127.06255667945 1
1.0%
127.062808 1
1.0%
127.06741 1
1.0%
127.067913 1
1.0%
127.068208196304 1
1.0%
127.06853453853512 1
1.0%
127.06890217938 1
1.0%
127.06904425066 1
1.0%
127.069313155594 1
1.0%
127.069683630291 1
1.0%
ValueCountFrequency (%)
127.107606257434 1
1.0%
127.10699 1
1.0%
127.103097642066 1
1.0%
127.10241 1
1.0%
127.101788230051 1
1.0%
127.100704228215 1
1.0%
127.100195713772 1
1.0%
127.09967 1
1.0%
127.098547794043 1
1.0%
127.097917377384 1
1.0%

자치구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
광진구
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 100
100.0%

Length

2024-04-06T20:10:35.846125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:36.012161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 100
100.0%

단속지점명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-06T20:10:36.343474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.78
Min length4

Characters and Unicode

Total characters978
Distinct characters217
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowSK강평주유소 앞
2nd row광현교회 앞
3rd row아차산역 5번출구 앞
4th row두산위브 앞
5th row국민은행 앞
ValueCountFrequency (%)
앞 65
27.2%
정문 10
 
4.2%
주변 6
 
2.5%
인근 5
 
2.1%
출구 4
 
1.7%
건너편 3
 
1.3%
구의동 3
 
1.3%
옆 3
 
1.3%
후문 3
 
1.3%
건대입구 3
 
1.3%
Other values (124) 134
56.1%
2024-04-06T20:10:37.007044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
18.4%
앞 65
 
6.6%
초 22
 
2.2%
구 21
 
2.1%
동 19
 
1.9%
문 17
 
1.7%
정 16
 
1.6%
학 16
 
1.6%
교 16
 
1.6%
스 14
 
1.4%
Other values (207) 592
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 771
78.8%
Space Separator 180
 
18.4%
Decimal Number 19
 
1.9%
Uppercase Letter 6
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 65
 
8.4%
초 22
 
2.9%
구 21
 
2.7%
동 19
 
2.5%
문 17
 
2.2%
정 16
 
2.1%
학 16
 
2.1%
교 16
 
2.1%
스 14
 
1.8%
자 14
 
1.8%
Other values (192) 551
71.5%
Decimal Number
ValueCountFrequency (%)
3 6
31.6%
1 5
26.3%
2 4
21.1%
5 2
 
10.5%
0 1
 
5.3%
4 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
B 1
16.7%
M 1
16.7%
K 1
16.7%
U 1
16.7%
C 1
16.7%
Space Separator
ValueCountFrequency (%)
180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
78.8%
Common 201
 
20.6%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 65
 
8.4%
초 22
 
2.9%
구 21
 
2.7%
동 19
 
2.5%
문 17
 
2.2%
정 16
 
2.1%
학 16
 
2.1%
교 16
 
2.1%
스 14
 
1.8%
자 14
 
1.8%
Other values (192) 551
71.5%
Common
ValueCountFrequency (%)
180
89.6%
3 6
 
3.0%
1 5
 
2.5%
2 4
 
2.0%
5 2
 
1.0%
0 1
 
0.5%
4 1
 
0.5%
) 1
 
0.5%
( 1
 
0.5%
Latin
ValueCountFrequency (%)
S 1
16.7%
B 1
16.7%
M 1
16.7%
K 1
16.7%
U 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 771
78.8%
ASCII 207
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
87.0%
3 6
 
2.9%
1 5
 
2.4%
2 4
 
1.9%
5 2
 
1.0%
0 1
 
0.5%
S 1
 
0.5%
B 1
 
0.5%
M 1
 
0.5%
4 1
 
0.5%
Other values (5) 5
 
2.4%
Hangul
ValueCountFrequency (%)
앞 65
 
8.4%
초 22
 
2.9%
구 21
 
2.7%
동 19
 
2.5%
문 17
 
2.2%
정 16
 
2.1%
학 16
 
2.1%
교 16
 
2.1%
스 14
 
1.8%
자 14
 
1.8%
Other values (192) 551
71.5%

현장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불법주정차구역
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불법주정차구역 100
100.0%

Length

2024-04-06T20:10:37.277665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:10:37.476500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불법주정차구역 100
100.0%

Interactions

2024-04-06T20:10:32.725389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:32.352407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:32.896422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:10:32.570596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T20:10:37.623321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고정형CCTV지번주소위도경도단속지점명
고정형CCTV지번주소1.0001.0001.0001.000
위도1.0001.0000.4851.000
경도1.0000.4851.0001.000
단속지점명1.0001.0001.0001.000
2024-04-06T20:10:37.884517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.081
경도0.0811.000

Missing values

2024-04-06T20:10:33.073816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T20:10:33.238703image/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

고정형CCTV지번주소위도경도자치구단속지점명현장구분
0서울 광진구 광장동 334-237.54779127.10699광진구SK강평주유소 앞불법주정차구역
1서울 광진구 광장동 445-337.543799127.10241광진구광현교회 앞불법주정차구역
2서울 광진구 구의동 13537.549593127.08178광진구아차산역 5번출구 앞불법주정차구역
3서울 광진구 군자동 50337.548609127.071072광진구두산위브 앞불법주정차구역
4서울 광진구 구의동 66-6237.545348127.08842광진구국민은행 앞불법주정차구역
5서울 광진구 구의동 68-2937.545976127.086327광진구구의사거리불법주정차구역
6서울 광진구 구의동 546-137.533558127.093389광진구리젠트오피스텔건너편불법주정차구역
7서울 광진구 구의동 546-1137.535562127.093359광진구지너스타워 주차장 앞불법주정차구역
8서울 광진구 구의동 61137.538347127.09662광진구현대2단지아파트 앞불법주정차구역
9서울 광진구 구의동 546-637.535668127.094522광진구강변역 1번 출구불법주정차구역
고정형CCTV지번주소위도경도자치구단속지점명현장구분
90서울 광진구 자양동 600-1537.530727127.075206광진구신자초등학교 후문 주변불법주정차구역
91서울 광진구 구의동 59-3937.548253127.092938광진구아차산포레안아파트 정문불법주정차구역
92서울 광진구 광장동 413-1337.542949127.098548광진구어광수의원 주변불법주정차구역
93서울 광진구 중곡동 191-6937.566115127.080024광진구중마초등학교 정문 앞불법주정차구역
94서울 광진구 구의동 243-437.53783127.08797광진구구의역2번출구 버스정류장 앞불법주정차구역
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