Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
DateTime2
Categorical1
Text1

Dataset

Description해당 데이터는 광주광역시 서구에서 단속 된 불법 주정차 단속 현황으로 법정동, 단속일자, 단속위치 정보를 제공하고 있습니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15125238/fileData.do

Alerts

연번 is highly overall correlated with 법정동High correlation
법정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:10:51.046748
Analysis finished2023-12-12 09:10:52.836990
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47265.917
Minimum11
Maximum95286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:10:52.920443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile5010.85
Q123624.5
median47067
Q370850
95-th percentile90339.05
Maximum95286
Range95275
Interquartile range (IQR)47225.5

Descriptive statistics

Standard deviation27374.201
Coefficient of variation (CV)0.57915306
Kurtosis-1.1945545
Mean47265.917
Median Absolute Deviation (MAD)23620
Skewness0.01445101
Sum4.7265917 × 108
Variance7.4934686 × 108
MonotonicityNot monotonic
2023-12-12T18:10:53.106472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84140 1
 
< 0.1%
6481 1
 
< 0.1%
56664 1
 
< 0.1%
27510 1
 
< 0.1%
71415 1
 
< 0.1%
43676 1
 
< 0.1%
65527 1
 
< 0.1%
5296 1
 
< 0.1%
12491 1
 
< 0.1%
42669 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
11 1
< 0.1%
16 1
< 0.1%
29 1
< 0.1%
41 1
< 0.1%
60 1
< 0.1%
68 1
< 0.1%
80 1
< 0.1%
108 1
< 0.1%
113 1
< 0.1%
133 1
< 0.1%
ValueCountFrequency (%)
95286 1
< 0.1%
95285 1
< 0.1%
95284 1
< 0.1%
95272 1
< 0.1%
95268 1
< 0.1%
95247 1
< 0.1%
95234 1
< 0.1%
95225 1
< 0.1%
95224 1
< 0.1%
95178 1
< 0.1%

단속일자
Date

Distinct639
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T18:10:53.284557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:53.460601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속시간
Date

Distinct8667
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-12 00:00:26
Maximum2023-12-12 23:58:36
2023-12-12T18:10:53.635926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:53.855253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법정동
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
치평동
4497 
쌍촌동
1664 
화정동
1418 
농성동
894 
광천동
689 
Other values (3)
838 

Length

Max length3
Median length3
Mean length2.9463
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row치평동
2nd row쌍촌동
3rd row화정동
4th row농성동
5th row쌍촌동

Common Values

ValueCountFrequency (%)
치평동 4497
45.0%
쌍촌동 1664
 
16.6%
화정동 1418
 
14.2%
농성동 894
 
8.9%
광천동 689
 
6.9%
양동 537
 
5.4%
유촌동 290
 
2.9%
덕흥동 11
 
0.1%

Length

2023-12-12T18:10:54.025499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:10:54.149520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치평동 4497
45.0%
쌍촌동 1664
 
16.6%
화정동 1418
 
14.2%
농성동 894
 
8.9%
광천동 689
 
6.9%
양동 537
 
5.4%
유촌동 290
 
2.9%
덕흥동 11
 
0.1%

단속장소상세
Text

Distinct1306
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:10:54.396941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length10.4394
Min length1

Characters and Unicode

Total characters104394
Distinct characters260
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique854 ?
Unique (%)8.5%

Sample

1st row상무자유로181-7(상무병원 주변)
2nd row한국아델리움 앞 삼거리
3rd row염화로59 (모아타워 101동 상가앞)
4th row농성동 상무대로
5th row쌍촌동 쌍촌로
ValueCountFrequency (%)
치평동 1289
 
6.8%
부근 1059
 
5.6%
앞 661
 
3.5%
농성동 522
 
2.8%
주변 445
 
2.4%
쌍촌동 380
 
2.0%
콜롬버스 282
 
1.5%
시네마 282
 
1.5%
화정로 282
 
1.5%
사거리 273
 
1.4%
Other values (1221) 13401
71.0%
2023-12-12T18:10:54.844009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8949
 
8.6%
로 4532
 
4.3%
동 3795
 
3.6%
1 3686
 
3.5%
부 2926
 
2.8%
근 2910
 
2.8%
상 2551
 
2.4%
무 2416
 
2.3%
평 2382
 
2.3%
( 2339
 
2.2%
Other values (250) 67908
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72055
69.0%
Decimal Number 16651
 
16.0%
Space Separator 8949
 
8.6%
Open Punctuation 2339
 
2.2%
Close Punctuation 2338
 
2.2%
Dash Punctuation 1267
 
1.2%
Uppercase Letter 764
 
0.7%
Other Punctuation 27
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4532
 
6.3%
동 3795
 
5.3%
부 2926
 
4.1%
근 2910
 
4.0%
상 2551
 
3.5%
무 2416
 
3.4%
평 2382
 
3.3%
치 2167
 
3.0%
화 1820
 
2.5%
리 1300
 
1.8%
Other values (220) 45256
62.8%
Uppercase Letter
ValueCountFrequency (%)
T 124
16.2%
A 123
16.1%
P 123
16.1%
C 96
12.6%
Y 95
12.4%
B 95
12.4%
K 53
6.9%
S 52
6.8%
M 1
 
0.1%
U 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3686
22.1%
2 2203
13.2%
3 1887
11.3%
6 1471
 
8.8%
4 1467
 
8.8%
0 1404
 
8.4%
8 1256
 
7.5%
9 1193
 
7.2%
7 1132
 
6.8%
5 952
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
r 1
25.0%
n 1
25.0%
u 1
25.0%
Space Separator
ValueCountFrequency (%)
8949
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2339
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1267
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72055
69.0%
Common 31571
30.2%
Latin 768
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4532
 
6.3%
동 3795
 
5.3%
부 2926
 
4.1%
근 2910
 
4.0%
상 2551
 
3.5%
무 2416
 
3.4%
평 2382
 
3.3%
치 2167
 
3.0%
화 1820
 
2.5%
리 1300
 
1.8%
Other values (220) 45256
62.8%
Common
ValueCountFrequency (%)
8949
28.3%
1 3686
11.7%
( 2339
 
7.4%
) 2338
 
7.4%
2 2203
 
7.0%
3 1887
 
6.0%
6 1471
 
4.7%
4 1467
 
4.6%
0 1404
 
4.4%
- 1267
 
4.0%
Other values (5) 4560
14.4%
Latin
ValueCountFrequency (%)
T 124
16.1%
A 123
16.0%
P 123
16.0%
C 96
12.5%
Y 95
12.4%
B 95
12.4%
K 53
6.9%
S 52
6.8%
M 1
 
0.1%
a 1
 
0.1%
Other values (5) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72055
69.0%
ASCII 32339
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8949
27.7%
1 3686
11.4%
( 2339
 
7.2%
) 2338
 
7.2%
2 2203
 
6.8%
3 1887
 
5.8%
6 1471
 
4.5%
4 1467
 
4.5%
0 1404
 
4.3%
- 1267
 
3.9%
Other values (20) 5328
16.5%
Hangul
ValueCountFrequency (%)
로 4532
 
6.3%
동 3795
 
5.3%
부 2926
 
4.1%
근 2910
 
4.0%
상 2551
 
3.5%
무 2416
 
3.4%
평 2382
 
3.3%
치 2167
 
3.0%
화 1820
 
2.5%
리 1300
 
1.8%
Other values (220) 45256
62.8%

Interactions

2023-12-12T18:10:52.475097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:10:54.983149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법정동
연번1.0000.884
법정동0.8841.000
2023-12-12T18:10:55.093741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법정동
연번1.0000.692
법정동0.6921.000

Missing values

2023-12-12T18:10:52.642356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:10:52.777902image/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

연번단속일자단속시간법정동단속장소상세
84139841402022-06-0414:05:55치평동상무자유로181-7(상무병원 주변)
35588355892023-07-0815:09:52쌍촌동한국아델리움 앞 삼거리
47962479632022-09-1309:55:36화정동염화로59 (모아타워 101동 상가앞)
950795082023-01-3010:03:37농성동농성동 상무대로
29211292122022-10-1307:09:07쌍촌동쌍촌동 쌍촌로
41721417222022-04-0615:03:03화정동화정1동주민센터
58527585282022-02-0718:13:28치평동상무연하로68 (센트럴호텔부근)
36385363862023-08-0916:18:38쌍촌동상무현대APT
57257572582022-01-2814:34:12치평동상무연하로68 (센트럴호텔부근)
22072220732023-06-2317:54:46유촌동극락초교부근(마켓홈즈)
연번단속일자단속시간법정동단속장소상세
27591275922022-08-0616:42:01쌍촌동1289부근
63895638962022-03-0308:04:28치평동상무중앙로102 (우체국보험회관 부근)
51245512462022-12-0519:36:45화정동화정로 261(광주은행화정지점)
24452244532022-03-2118:42:27쌍촌동1292
25617256182022-05-1110:29:03쌍촌동1377
24144241452022-03-0218:11:52쌍촌동1006 부근
880488052022-11-2814:06:54농성동농성동 경열로65번길
22542225432023-09-2214:52:30유촌동극락초교부근(마켓홈즈)
66281662822022-03-1516:44:44치평동평화공원 현대해상 빌딩 건너편
53130531312022-01-0719:14:07치평동치평동한국관 도로변