Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells7449
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory237.0 B

Variable types

Categorical9
Text6
Numeric3
DateTime9
Boolean1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방경찰청, 지방자치단체
URLhttps://www.data.go.kr/data/15034542/standard.do

Alerts

일시적주정차허용시작시각(평일) is highly imbalanced (60.4%)Imbalance
일시적주정차허용종료시각(평일) is highly imbalanced (59.1%)Imbalance
일시적주정차허용시작시각(토요일) is highly imbalanced (63.7%)Imbalance
일시적주정차허용종료시각(토요일) is highly imbalanced (60.0%)Imbalance
일시적주정차허용시작시각(공휴일) is highly imbalanced (66.7%)Imbalance
일시적주정차허용종료시각(공휴일) is highly imbalanced (63.8%)Imbalance
해제일자 has 7449 (74.5%) missing valuesMissing

Reproduction

Analysis started2024-05-11 07:49:05.089083
Analysis finished2024-05-11 07:49:08.610320
Duration3.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
5533 
경상남도
891 
전라남도
627 
충청남도
586 
인천광역시
 
435
Other values (11)
1928 

Length

Max length7
Median length3
Mean length3.6397
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도
2nd row경기도
3rd row경기도
4th row충청남도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 5533
55.3%
경상남도 891
 
8.9%
전라남도 627
 
6.3%
충청남도 586
 
5.9%
인천광역시 435
 
4.3%
강원도 348
 
3.5%
전라북도 332
 
3.3%
강원특별자치도 294
 
2.9%
경상북도 275
 
2.8%
부산광역시 160
 
1.6%
Other values (6) 519
 
5.2%

Length

2024-05-11T16:49:08.788196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 5533
55.3%
경상남도 891
 
8.9%
전라남도 627
 
6.3%
충청남도 586
 
5.9%
인천광역시 435
 
4.3%
강원도 348
 
3.5%
전라북도 332
 
3.3%
강원특별자치도 294
 
2.9%
경상북도 275
 
2.8%
부산광역시 160
 
1.6%
Other values (6) 519
 
5.2%

시군구명
Text

Distinct136
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:49:09.557907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2687
Min length2

Characters and Unicode

Total characters32687
Distinct characters112
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row순천시
2nd row광주시
3rd row구리시
4th row태안군
5th row고양시
ValueCountFrequency (%)
수원시 1136
 
10.8%
고양시 626
 
6.0%
용인시 422
 
4.0%
부천시 398
 
3.8%
성남시 366
 
3.5%
남양주시 333
 
3.2%
부평구 307
 
2.9%
김해시 277
 
2.6%
춘천시 236
 
2.3%
의정부시 236
 
2.3%
Other values (128) 6135
58.6%
2024-05-11T16:49:10.378874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 8205
25.1%
구 1575
 
4.8%
원 1533
 
4.7%
천 1474
 
4.5%
양 1420
 
4.3%
수 1364
 
4.2%
부 959
 
2.9%
남 957
 
2.9%
군 953
 
2.9%
주 865
 
2.6%
Other values (102) 13382
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32041
98.0%
Space Separator 646
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8205
25.6%
구 1575
 
4.9%
원 1533
 
4.8%
천 1474
 
4.6%
양 1420
 
4.4%
수 1364
 
4.3%
부 959
 
3.0%
남 957
 
3.0%
군 953
 
3.0%
주 865
 
2.7%
Other values (100) 12736
39.7%
Space Separator
ValueCountFrequency (%)
472
73.1%
　 174
 
26.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32041
98.0%
Common 646
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8205
25.6%
구 1575
 
4.9%
원 1533
 
4.8%
천 1474
 
4.6%
양 1420
 
4.4%
수 1364
 
4.3%
부 959
 
3.0%
남 957
 
3.0%
군 953
 
3.0%
주 865
 
2.7%
Other values (100) 12736
39.7%
Common
ValueCountFrequency (%)
472
73.1%
　 174
 
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32041
98.0%
ASCII 472
 
1.4%
None 174
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 8205
25.6%
구 1575
 
4.9%
원 1533
 
4.8%
천 1474
 
4.6%
양 1420
 
4.4%
수 1364
 
4.3%
부 959
 
3.0%
남 957
 
3.0%
군 953
 
3.0%
주 865
 
2.7%
Other values (100) 12736
39.7%
ASCII
ValueCountFrequency (%)
472
100.0%
None
ValueCountFrequency (%)
　 174
100.0%

시군구코드
Real number (ℝ)

Distinct159
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42027.518
Minimum11215
Maximum56800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:49:10.657465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11215
5-th percentile28237
Q141150
median41460
Q345032.5
95-th percentile48330
Maximum56800
Range45585
Interquartile range (IQR)3882.5

Descriptive statistics

Standard deviation5736.9555
Coefficient of variation (CV)0.13650474
Kurtosis9.6334509
Mean42027.518
Median Absolute Deviation (MAD)350
Skewness-2.28042
Sum4.2027518 × 108
Variance32912659
MonotonicityNot monotonic
2024-05-11T16:49:10.917600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41110 1136
 
11.4%
41280 626
 
6.3%
41460 422
 
4.2%
41360 333
 
3.3%
28237 307
 
3.1%
48250 277
 
2.8%
41150 236
 
2.4%
41220 210
 
2.1%
41570 203
 
2.0%
48100 203
 
2.0%
Other values (149) 6047
60.5%
ValueCountFrequency (%)
11215 15
 
0.1%
11230 13
 
0.1%
11260 10
 
0.1%
11305 6
 
0.1%
11545 71
0.7%
11710 9
 
0.1%
11740 3
 
< 0.1%
26710 34
0.3%
27710 24
 
0.2%
28110 7
 
0.1%
ValueCountFrequency (%)
56800 47
 
0.5%
55700 10
 
0.1%
52800 6
 
0.1%
52500 3
 
< 0.1%
51230 16
 
0.2%
51110 120
1.2%
50700 50
0.5%
50130 117
1.2%
48890 4
 
< 0.1%
48880 25
 
0.2%

도로명
Text

Distinct5871
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:49:11.737518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length59
Mean length6.8751
Min length1

Characters and Unicode

Total characters68751
Distinct characters525
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4506 ?
Unique (%)45.1%

Sample

1st row덕원길
2nd row무들로
3rd row아차산로405번길
4th row샘골로
5th row고양대로
ValueCountFrequency (%)
수원시 988
 
6.6%
경기도 873
 
5.8%
팔달구 409
 
2.7%
다산지금로 306
 
2.0%
영통구 262
 
1.7%
권선구 259
 
1.7%
중앙로 137
 
0.9%
인계동 128
 
0.9%
세류동 76
 
0.5%
강원도 75
 
0.5%
Other values (6029) 11533
76.7%
2024-05-11T16:49:12.796735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 8574
 
12.5%
5050
 
7.3%
길 3778
 
5.5%
번 2275
 
3.3%
1 2218
 
3.2%
원 1554
 
2.3%
2 1472
 
2.1%
수 1429
 
2.1%
시 1331
 
1.9%
도 1241
 
1.8%
Other values (515) 39829
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52334
76.1%
Decimal Number 9998
 
14.5%
Space Separator 5050
 
7.3%
Close Punctuation 404
 
0.6%
Open Punctuation 400
 
0.6%
Dash Punctuation 241
 
0.4%
Other Punctuation 190
 
0.3%
Math Symbol 104
 
0.2%
Uppercase Letter 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8574
 
16.4%
길 3778
 
7.2%
번 2275
 
4.3%
원 1554
 
3.0%
수 1429
 
2.7%
시 1331
 
2.5%
도 1241
 
2.4%
구 1235
 
2.4%
경 1167
 
2.2%
동 1128
 
2.2%
Other values (480) 28622
54.7%
Uppercase Letter
ValueCountFrequency (%)
K 6
20.0%
S 5
16.7%
E 3
10.0%
I 3
10.0%
V 3
10.0%
W 3
10.0%
A 2
 
6.7%
C 2
 
6.7%
T 1
 
3.3%
P 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 2218
22.2%
2 1472
14.7%
3 1167
11.7%
4 933
9.3%
5 857
 
8.6%
6 822
 
8.2%
7 683
 
6.8%
8 631
 
6.3%
0 631
 
6.3%
9 584
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 124
65.3%
· 46
 
24.2%
: 14
 
7.4%
. 4
 
2.1%
@ 1
 
0.5%
/ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 74
71.2%
+ 25
 
24.0%
> 3
 
2.9%
→ 2
 
1.9%
Space Separator
ValueCountFrequency (%)
5050
100.0%
Close Punctuation
ValueCountFrequency (%)
) 404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52334
76.1%
Common 16387
 
23.8%
Latin 30
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8574
 
16.4%
길 3778
 
7.2%
번 2275
 
4.3%
원 1554
 
3.0%
수 1429
 
2.7%
시 1331
 
2.5%
도 1241
 
2.4%
구 1235
 
2.4%
경 1167
 
2.2%
동 1128
 
2.2%
Other values (480) 28622
54.7%
Common
ValueCountFrequency (%)
5050
30.8%
1 2218
13.5%
2 1472
 
9.0%
3 1167
 
7.1%
4 933
 
5.7%
5 857
 
5.2%
6 822
 
5.0%
7 683
 
4.2%
8 631
 
3.9%
0 631
 
3.9%
Other values (14) 1923
 
11.7%
Latin
ValueCountFrequency (%)
K 6
20.0%
S 5
16.7%
E 3
10.0%
I 3
10.0%
V 3
10.0%
W 3
10.0%
A 2
 
6.7%
C 2
 
6.7%
T 1
 
3.3%
P 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52334
76.1%
ASCII 16369
 
23.8%
None 46
 
0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 8574
 
16.4%
길 3778
 
7.2%
번 2275
 
4.3%
원 1554
 
3.0%
수 1429
 
2.7%
시 1331
 
2.5%
도 1241
 
2.4%
구 1235
 
2.4%
경 1167
 
2.2%
동 1128
 
2.2%
Other values (480) 28622
54.7%
ASCII
ValueCountFrequency (%)
5050
30.9%
1 2218
13.6%
2 1472
 
9.0%
3 1167
 
7.1%
4 933
 
5.7%
5 857
 
5.2%
6 822
 
5.0%
7 683
 
4.2%
8 631
 
3.9%
0 631
 
3.9%
Other values (23) 1905
 
11.6%
None
ValueCountFrequency (%)
· 46
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

상세위치
Text

Distinct9641
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:49:13.359672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length487
Median length120
Mean length19.7232
Min length2

Characters and Unicode

Total characters197232
Distinct characters902
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9288 ?
Unique (%)92.9%

Sample

1st row소라마을~청미래2차(편측)
2nd row도평리 대주아파트-우림2차아파트
3rd row아차산로 405번길 43앞 도로
4th row군청오거리~샘골삼거리
5th row고양대로 2002번길
ValueCountFrequency (%)
1661
 
4.9%
앞 1278
 
3.7%
↔ 533
 
1.6%
∼ 471
 
1.4%
주변 344
 
1.0%
입구 289
 
0.8%
인계동 267
 
0.8%
삼거리 233
 
0.7%
사거리 228
 
0.7%
접속부 208
 
0.6%
Other values (18115) 28711
83.9%
2024-05-11T16:49:14.481622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24480
 
12.4%
1 6431
 
3.3%
동 6323
 
3.2%
로 4533
 
2.3%
- 4363
 
2.2%
2 4141
 
2.1%
~ 4023
 
2.0%
리 3653
 
1.9%
) 3385
 
1.7%
( 3363
 
1.7%
Other values (892) 132537
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122418
62.1%
Decimal Number 30135
 
15.3%
Space Separator 24483
 
12.4%
Math Symbol 5694
 
2.9%
Dash Punctuation 4363
 
2.2%
Close Punctuation 3398
 
1.7%
Open Punctuation 3376
 
1.7%
Uppercase Letter 1306
 
0.7%
Other Punctuation 1108
 
0.6%
Lowercase Letter 648
 
0.3%
Other values (6) 303
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6323
 
5.2%
로 4533
 
3.7%
리 3653
 
3.0%
교 2364
 
1.9%
앞 2249
 
1.8%
거 2098
 
1.7%
사 1929
 
1.6%
부 1834
 
1.5%
길 1816
 
1.5%
지 1691
 
1.4%
Other values (789) 93928
76.7%
Uppercase Letter
ValueCountFrequency (%)
C 274
21.0%
T 136
10.4%
A 95
 
7.3%
S 94
 
7.2%
G 89
 
6.8%
K 87
 
6.7%
V 81
 
6.2%
L 64
 
4.9%
I 56
 
4.3%
R 47
 
3.6%
Other values (15) 283
21.7%
Lowercase Letter
ValueCountFrequency (%)
m 444
68.5%
k 84
 
13.0%
e 25
 
3.9%
s 19
 
2.9%
c 15
 
2.3%
g 10
 
1.5%
l 8
 
1.2%
i 8
 
1.2%
u 7
 
1.1%
n 4
 
0.6%
Other values (11) 24
 
3.7%
Math Symbol
ValueCountFrequency (%)
~ 4023
70.7%
↔ 749
 
13.2%
∼ 617
 
10.8%
～ 111
 
1.9%
⇔ 83
 
1.5%
→ 32
 
0.6%
+ 32
 
0.6%
= 13
 
0.2%
⇒ 11
 
0.2%
< 10
 
0.2%
Other values (2) 13
 
0.2%
Other Number
ValueCountFrequency (%)
② 23
20.7%
① 23
20.7%
③ 16
14.4%
④ 14
12.6%
⑤ 11
9.9%
⑥ 7
 
6.3%
⑦ 7
 
6.3%
⑧ 4
 
3.6%
⑨ 3
 
2.7%
⑩ 2
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 6431
21.3%
2 4141
13.7%
3 3273
10.9%
4 2836
9.4%
0 2639
8.8%
5 2550
 
8.5%
6 2329
 
7.7%
7 2132
 
7.1%
9 1944
 
6.5%
8 1860
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 511
46.1%
: 285
25.7%
@ 123
 
11.1%
. 92
 
8.3%
/ 25
 
2.3%
* 24
 
2.2%
· 21
 
1.9%
※ 18
 
1.6%
; 5
 
0.5%
& 4
 
0.4%
Other Symbol
ValueCountFrequency (%)
○ 174
94.6%
㈜ 9
 
4.9%
ⓐ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
24480
> 99.9%
　 3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3385
99.6%
] 13
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 3363
99.6%
[ 13
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 4363
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122425
62.1%
Common 72850
36.9%
Latin 1955
 
1.0%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6323
 
5.2%
로 4533
 
3.7%
리 3653
 
3.0%
교 2364
 
1.9%
앞 2249
 
1.8%
거 2098
 
1.7%
사 1929
 
1.6%
부 1834
 
1.5%
길 1816
 
1.5%
지 1691
 
1.4%
Other values (788) 93935
76.7%
Common
ValueCountFrequency (%)
24480
33.6%
1 6431
 
8.8%
- 4363
 
6.0%
2 4141
 
5.7%
~ 4023
 
5.5%
) 3385
 
4.6%
( 3363
 
4.6%
3 3273
 
4.5%
4 2836
 
3.9%
0 2639
 
3.6%
Other values (45) 13916
19.1%
Latin
ValueCountFrequency (%)
m 444
22.7%
C 274
14.0%
T 136
 
7.0%
A 95
 
4.9%
S 94
 
4.8%
G 89
 
4.6%
K 87
 
4.5%
k 84
 
4.3%
V 81
 
4.1%
L 64
 
3.3%
Other values (37) 507
25.9%
Han
ValueCountFrequency (%)
全 1
50.0%
天 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122412
62.1%
ASCII 72864
36.9%
Arrows 878
 
0.4%
Math Operators 617
 
0.3%
Geometric Shapes 174
 
0.1%
None 144
 
0.1%
Enclosed Alphanum 112
 
0.1%
Punctuation 24
 
< 0.1%
Compat Jamo 4
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24480
33.6%
1 6431
 
8.8%
- 4363
 
6.0%
2 4141
 
5.7%
~ 4023
 
5.5%
) 3385
 
4.6%
( 3363
 
4.6%
3 3273
 
4.5%
4 2836
 
3.9%
0 2639
 
3.6%
Other values (66) 13930
19.1%
Hangul
ValueCountFrequency (%)
동 6323
 
5.2%
로 4533
 
3.7%
리 3653
 
3.0%
교 2364
 
1.9%
앞 2249
 
1.8%
거 2098
 
1.7%
사 1929
 
1.6%
부 1834
 
1.5%
길 1816
 
1.5%
지 1691
 
1.4%
Other values (784) 93922
76.7%
Arrows
ValueCountFrequency (%)
↔ 749
85.3%
⇔ 83
 
9.5%
→ 32
 
3.6%
⇒ 11
 
1.3%
← 3
 
0.3%
Math Operators
ValueCountFrequency (%)
∼ 617
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 174
100.0%
None
ValueCountFrequency (%)
～ 111
77.1%
· 21
 
14.6%
㈜ 9
 
6.2%
　 3
 
2.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 23
20.5%
① 23
20.5%
③ 16
14.3%
④ 14
12.5%
⑤ 11
9.8%
⑥ 7
 
6.2%
⑦ 7
 
6.2%
⑧ 4
 
3.6%
⑨ 3
 
2.7%
⑩ 2
 
1.8%
Other values (2) 2
 
1.8%
Punctuation
ValueCountFrequency (%)
※ 18
75.0%
’ 4
 
16.7%
‘ 2
 
8.3%
Compat Jamo
ValueCountFrequency (%)
ㄷ 2
50.0%
ㄱ 1
25.0%
ㄴ 1
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
全 1
50.0%
天 1
50.0%

지정방향구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8134 
2
1866 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 8134
81.3%
2 1866
 
18.7%

Length

2024-05-11T16:49:14.896736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:49:15.066756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8134
81.3%
2 1866
 
18.7%

금지구역총연장
Real number (ℝ)

Distinct1291
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.34775
Minimum0
Maximum22460
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:49:15.843659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.17
median0.47
Q350
95-th percentile700
Maximum22460
Range22460
Interquartile range (IQR)49.83

Descriptive statistics

Standard deviation687.87097
Coefficient of variation (CV)4.3996218
Kurtosis292.34912
Mean156.34775
Median Absolute Deviation (MAD)0.389
Skewness13.909204
Sum1563477.5
Variance473166.47
MonotonicityNot monotonic
2024-05-11T16:49:16.213483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 378
 
3.8%
0.2 366
 
3.7%
0.3 296
 
3.0%
0.4 280
 
2.8%
1.0 264
 
2.6%
0.15 180
 
1.8%
0.12 176
 
1.8%
0.05 154
 
1.5%
100.0 153
 
1.5%
0.06 130
 
1.3%
Other values (1281) 7623
76.2%
ValueCountFrequency (%)
0.0 11
 
0.1%
0.001 1
 
< 0.1%
0.005 1
 
< 0.1%
0.01 14
 
0.1%
0.011 2
 
< 0.1%
0.012 4
 
< 0.1%
0.015 8
 
0.1%
0.017 3
 
< 0.1%
0.018 2
 
< 0.1%
0.02 60
0.6%
ValueCountFrequency (%)
22460.0 1
 
< 0.1%
19600.0 1
 
< 0.1%
14800.0 1
 
< 0.1%
14000.0 1
 
< 0.1%
13200.0 1
 
< 0.1%
13085.0 1
 
< 0.1%
11600.0 1
 
< 0.1%
11000.0 2
< 0.1%
10000.0 3
< 0.1%
9600.0 1
 
< 0.1%

주정차금지유형코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4205 
2
3943 
3
1852 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 4205
42.0%
2 3943
39.4%
3 1852
18.5%

Length

2024-05-11T16:49:16.527258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:49:16.737708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4205
42.0%
2 3943
39.4%
3 1852
18.5%

평일주정차금지시작시각
Date

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 21:59:00
2024-05-11T16:49:16.937387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:17.167150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

평일주정차금지종료시각
Date

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 23:59:00
2024-05-11T16:49:17.529271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:17.725821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

일시적주정차허용시작시각(평일)
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6208 
11:30
1599 
12:00
871 
00:00
 
293
21:00
 
216
Other values (28)
813 

Length

Max length17
Median length4
Mean length4.5442
Min length1

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row00:00
4th row12:00
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6208
62.1%
11:30 1599
 
16.0%
12:00 871
 
8.7%
00:00 293
 
2.9%
21:00 216
 
2.2%
20:00 135
 
1.4%
18:00 121
 
1.2%
11:00 118
 
1.2%
11:30+18:00 109
 
1.1%
22:00 103
 
1.0%
Other values (23) 227
 
2.3%

Length

2024-05-11T16:49:18.065856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6208
61.9%
11:30 1599
 
15.9%
12:00 871
 
8.7%
00:00 293
 
2.9%
21:00 216
 
2.2%
18:00 136
 
1.4%
20:00 135
 
1.3%
11:00 133
 
1.3%
11:30+18:00 109
 
1.1%
22:00 103
 
1.0%
Other values (23) 228
 
2.3%

일시적주정차허용종료시각(평일)
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6210 
14:00
1481 
13:30
637 
13:00
 
414
09:00
 
230
Other values (32)
1028 

Length

Max length17
Median length4
Mean length4.524
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row00:00
4th row13:00
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6210
62.1%
14:00 1481
 
14.8%
13:30 637
 
6.4%
13:00 414
 
4.1%
09:00 230
 
2.3%
23:59 190
 
1.9%
08:00 128
 
1.3%
00:00 119
 
1.2%
8:00 109
 
1.1%
14:00+09:00 93
 
0.9%
Other values (27) 389
 
3.9%

Length

2024-05-11T16:49:18.477408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6210
61.9%
14:00 1481
 
14.8%
13:30 637
 
6.4%
13:00 414
 
4.1%
09:00 230
 
2.3%
23:59 190
 
1.9%
08:00 128
 
1.3%
00:00 119
 
1.2%
8:00 109
 
1.1%
14:00+09:00 93
 
0.9%
Other values (28) 419
 
4.2%

토요일주정차금지시작시각
Date

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 22:01:00
2024-05-11T16:49:18.727363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:18.978705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

토요일주정차금지종료시각
Date

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 23:59:00
2024-05-11T16:49:19.407537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:19.633455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

일시적주정차허용시작시각(토요일)
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6925 
11:30
996 
12:00
818 
00:00
 
402
0:00
 
282
Other values (22)
 
577

Length

Max length26
Median length4
Mean length4.3447
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row00:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6925
69.2%
11:30 996
 
10.0%
12:00 818
 
8.2%
00:00 402
 
4.0%
0:00 282
 
2.8%
18:00 203
 
2.0%
24:00:00 120
 
1.2%
10:00 96
 
1.0%
11:00 49
 
0.5%
16:00 22
 
0.2%
Other values (17) 87
 
0.9%

Length

2024-05-11T16:49:19.900958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6925
69.0%
11:30 996
 
9.9%
12:00 818
 
8.2%
00:00 402
 
4.0%
0:00 282
 
2.8%
18:00 218
 
2.2%
24:00:00 120
 
1.2%
10:00 96
 
1.0%
11:00 64
 
0.6%
16:00 22
 
0.2%
Other values (19) 89
 
0.9%

일시적주정차허용종료시각(토요일)
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6932 
14:00
1008 
13:30
 
463
13:00
 
333
23:59
 
244
Other values (19)
1020 

Length

Max length13
Median length4
Mean length4.3504
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row00:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6932
69.3%
14:00 1008
 
10.1%
13:30 463
 
4.6%
13:00 333
 
3.3%
23:59 244
 
2.4%
09:00 230
 
2.3%
00:00 217
 
2.2%
0:00 206
 
2.1%
24:00:00 133
 
1.3%
17:00 93
 
0.9%
Other values (14) 141
 
1.4%

Length

2024-05-11T16:49:20.284097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6932
69.1%
14:00 1008
 
10.0%
13:30 463
 
4.6%
13:00 333
 
3.3%
23:59 244
 
2.4%
09:00 230
 
2.3%
00:00 217
 
2.2%
0:00 206
 
2.1%
24:00:00 133
 
1.3%
17:00 93
 
0.9%
Other values (16) 175
 
1.7%

공휴일주정차금지시작시각
Date

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 22:01:00
2024-05-11T16:49:20.540300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:20.905142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

공휴일주정차금지종료시각
Date

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-11 00:00:00
Maximum2024-05-11 23:59:00
2024-05-11T16:49:21.163074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:21.401313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

일시적주정차허용시작시각(공휴일)
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7139 
11:30
944 
12:00
867 
0:00
 
279
00:00
 
253
Other values (23)
 
518

Length

Max length15
Median length4
Mean length4.3194
Min length4

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row00:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7139
71.4%
11:30 944
 
9.4%
12:00 867
 
8.7%
0:00 279
 
2.8%
00:00 253
 
2.5%
18:00 247
 
2.5%
24:00:00 120
 
1.2%
11:00 51
 
0.5%
11:00 + 18:00 17
 
0.2%
6:00 16
 
0.2%
Other values (18) 67
 
0.7%

Length

2024-05-11T16:49:21.617449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7139
71.1%
11:30 944
 
9.4%
12:00 867
 
8.6%
0:00 279
 
2.8%
18:00 264
 
2.6%
00:00 253
 
2.5%
24:00:00 120
 
1.2%
11:00 68
 
0.7%
17
 
0.2%
6:00 16
 
0.2%
Other values (19) 72
 
0.7%

일시적주정차허용종료시각(공휴일)
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7151 
14:00
962 
13:30
 
501
13:00
 
333
00:00
 
239
Other values (22)
814 

Length

Max length13
Median length4
Mean length4.3244
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row00:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7151
71.5%
14:00 962
 
9.6%
13:30 501
 
5.0%
13:00 333
 
3.3%
00:00 239
 
2.4%
09:00 208
 
2.1%
0:00 200
 
2.0%
24:00:00 133
 
1.3%
23:59 77
 
0.8%
16:00 47
 
0.5%
Other values (17) 149
 
1.5%

Length

2024-05-11T16:49:21.970848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7151
71.3%
14:00 962
 
9.6%
13:30 501
 
5.0%
13:00 333
 
3.3%
00:00 239
 
2.4%
09:00 208
 
2.1%
0:00 200
 
2.0%
24:00:00 133
 
1.3%
23:59 77
 
0.8%
16:00 47
 
0.5%
Other values (17) 183
 
1.8%

명절허용여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7355 
True
2645 
ValueCountFrequency (%)
False 7355
73.6%
True 2645
 
26.5%
2024-05-11T16:49:22.411632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시행일자
Date

Distinct1743
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2023-12-21 00:00:00
2024-05-11T16:49:22.635827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:23.034049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해제일자
Date

MISSING 

Distinct9
Distinct (%)0.4%
Missing7449
Missing (%)74.5%
Memory size156.2 KiB
Minimum2019-09-16 00:00:00
Maximum2100-01-01 00:00:00
2024-05-11T16:49:23.419310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:23.632539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

관리기관명
Text

Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:49:24.221013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length10.3677
Min length7

Characters and Unicode

Total characters103677
Distinct characters134
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row전라남도 순천시청
2nd row경기도 광주시청
3rd row경기도 구리시청
4th row충청남도 태안군청
5th row경기도 고양시 덕양구 교통행정과
ValueCountFrequency (%)
경기도 5533
23.7%
수원시청 1136
 
4.9%
경상남도 891
 
3.8%
교통행정과 693
 
3.0%
고양시 626
 
2.7%
전라남도 614
 
2.6%
충청남도 586
 
2.5%
인천광역시 435
 
1.9%
용인시 422
 
1.8%
부천시 398
 
1.7%
Other values (158) 12012
51.5%
2024-05-11T16:49:25.181824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13346
 
12.9%
도 9563
 
9.2%
시 9360
 
9.0%
청 8745
 
8.4%
경 6739
 
6.5%
기 5740
 
5.5%
남 2995
 
2.9%
구 2541
 
2.5%
원 2105
 
2.0%
과 2006
 
1.9%
Other values (124) 40537
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89665
86.5%
Space Separator 13346
 
12.9%
Close Punctuation 333
 
0.3%
Open Punctuation 333
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9563
 
10.7%
시 9360
 
10.4%
청 8745
 
9.8%
경 6739
 
7.5%
기 5740
 
6.4%
남 2995
 
3.3%
구 2541
 
2.8%
원 2105
 
2.3%
과 2006
 
2.2%
천 1909
 
2.1%
Other values (121) 37962
42.3%
Space Separator
ValueCountFrequency (%)
13346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89665
86.5%
Common 14012
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9563
 
10.7%
시 9360
 
10.4%
청 8745
 
9.8%
경 6739
 
7.5%
기 5740
 
6.4%
남 2995
 
3.3%
구 2541
 
2.8%
원 2105
 
2.3%
과 2006
 
2.2%
천 1909
 
2.1%
Other values (121) 37962
42.3%
Common
ValueCountFrequency (%)
13346
95.2%
) 333
 
2.4%
( 333
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89665
86.5%
ASCII 14012
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13346
95.2%
) 333
 
2.4%
( 333
 
2.4%
Hangul
ValueCountFrequency (%)
도 9563
 
10.7%
시 9360
 
10.4%
청 8745
 
9.8%
경 6739
 
7.5%
기 5740
 
6.4%
남 2995
 
3.3%
구 2541
 
2.8%
원 2105
 
2.3%
과 2006
 
2.2%
천 1909
 
2.1%
Other values (121) 37962
42.3%

관리기관전화번호
Text

Distinct154
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:49:25.675311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.1073
Min length11

Characters and Unicode

Total characters121073
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row061-749-5534
2nd row031-760-2112
3rd row031-550-2764
4th row041-670-2329
5th row031-8075-5482
ValueCountFrequency (%)
031-228-6364 408
 
4.1%
032-625-9040 398
 
4.0%
031-228-8345 334
 
3.3%
031-590-5397 333
 
3.3%
031-8075-5482 318
 
3.2%
032-509-6738 307
 
3.1%
031-228-7669 281
 
2.8%
055-330-7323 277
 
2.8%
031-828-2882 236
 
2.4%
033-250-3196 236
 
2.4%
Other values (144) 6872
68.7%
2024-05-11T16:49:26.701630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
16.5%
0 15967
13.2%
3 15395
12.7%
2 11654
9.6%
5 11324
9.4%
1 9730
8.0%
6 8945
7.4%
4 8553
7.1%
8 7398
 
6.1%
7 6657
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101073
83.5%
Dash Punctuation 20000
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15967
15.8%
3 15395
15.2%
2 11654
11.5%
5 11324
11.2%
1 9730
9.6%
6 8945
8.9%
4 8553
8.5%
8 7398
7.3%
7 6657
6.6%
9 5450
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121073
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
16.5%
0 15967
13.2%
3 15395
12.7%
2 11654
9.6%
5 11324
9.4%
1 9730
8.0%
6 8945
7.4%
4 8553
7.1%
8 7398
 
6.1%
7 6657
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
16.5%
0 15967
13.2%
3 15395
12.7%
2 11654
9.6%
5 11324
9.4%
1 9730
8.0%
6 8945
7.4%
4 8553
7.1%
8 7398
 
6.1%
7 6657
 
5.5%

데이터기준일자
Date

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-03-11 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T16:49:26.992293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:49:27.279073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct154
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4306448
Minimum3040000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:49:27.644886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3040000
5-th percentile3540000
Q13820000
median4050000
Q34800000
95-th percentile5540000
Maximum6520000
Range3480000
Interquartile range (IQR)980000

Descriptive statistics

Standard deviation670122.33
Coefficient of variation (CV)0.15560906
Kurtosis0.19674452
Mean4306448
Median Absolute Deviation (MAD)310000
Skewness0.93271915
Sum4.306448 × 1010
Variance4.4906393 × 1011
MonotonicityNot monotonic
2024-05-11T16:49:28.034519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3740000 1136
 
11.4%
3940000 626
 
6.3%
4050000 422
 
4.2%
3860000 398
 
4.0%
3780000 366
 
3.7%
3990000 333
 
3.3%
3930000 329
 
3.3%
3540000 307
 
3.1%
5350000 277
 
2.8%
3820000 236
 
2.4%
Other values (144) 5570
55.7%
ValueCountFrequency (%)
3040000 15
 
0.1%
3050000 13
 
0.1%
3060000 10
 
0.1%
3080000 6
 
0.1%
3170000 71
0.7%
3230000 9
 
0.1%
3240000 3
 
< 0.1%
3270000 30
 
0.3%
3330000 96
1.0%
3400000 34
 
0.3%
ValueCountFrequency (%)
6520000 117
1.2%
5700000 44
 
0.4%
5680000 47
 
0.5%
5600000 32
 
0.3%
5590000 128
1.3%
5570000 10
 
0.1%
5540000 202
2.0%
5530000 130
1.3%
5480000 4
 
< 0.1%
5470000 25
 
0.2%

제공기관명
Text

Distinct154
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:49:28.676541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.7667
Min length7

Characters and Unicode

Total characters77667
Distinct characters116
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row전라남도 순천시
2nd row경기도 광주시
3rd row경기도 구리시
4th row충청남도 태안군
5th row경기도 고양시
ValueCountFrequency (%)
경기도 5533
27.7%
수원시 1136
 
5.7%
경상남도 891
 
4.5%
전라남도 627
 
3.1%
고양시 626
 
3.1%
충청남도 586
 
2.9%
인천광역시 435
 
2.2%
용인시 422
 
2.1%
부천시 398
 
2.0%
성남시 366
 
1.8%
Other values (138) 8980
44.9%
2024-05-11T16:49:29.674751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
 
12.9%
시 9360
 
12.1%
도 9178
 
11.8%
경 6726
 
8.7%
기 5567
 
7.2%
남 3008
 
3.9%
천 1909
 
2.5%
원 1851
 
2.4%
양 1420
 
1.8%
수 1364
 
1.8%
Other values (106) 27284
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67667
87.1%
Space Separator 10000
 
12.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9360
 
13.8%
도 9178
 
13.6%
경 6726
 
9.9%
기 5567
 
8.2%
남 3008
 
4.4%
천 1909
 
2.8%
원 1851
 
2.7%
양 1420
 
2.1%
수 1364
 
2.0%
상 1190
 
1.8%
Other values (105) 26094
38.6%
Space Separator
ValueCountFrequency (%)
10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67667
87.1%
Common 10000
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9360
 
13.8%
도 9178
 
13.6%
경 6726
 
9.9%
기 5567
 
8.2%
남 3008
 
4.4%
천 1909
 
2.8%
원 1851
 
2.7%
양 1420
 
2.1%
수 1364
 
2.0%
상 1190
 
1.8%
Other values (105) 26094
38.6%
Common
ValueCountFrequency (%)
10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67667
87.1%
ASCII 10000
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
100.0%
Hangul
ValueCountFrequency (%)
시 9360
 
13.8%
도 9178
 
13.6%
경 6726
 
9.9%
기 5567
 
8.2%
남 3008
 
4.4%
천 1909
 
2.8%
원 1851
 
2.7%
양 1420
 
2.1%
수 1364
 
2.0%
상 1190
 
1.8%
Other values (105) 26094
38.6%

Sample

시도명시군구명시군구코드도로명상세위치지정방향구분코드금지구역총연장주정차금지유형코드평일주정차금지시작시각평일주정차금지종료시각일시적주정차허용시작시각(평일)일시적주정차허용종료시각(평일)토요일주정차금지시작시각토요일주정차금지종료시각일시적주정차허용시작시각(토요일)일시적주정차허용종료시각(토요일)공휴일주정차금지시작시각공휴일주정차금지종료시각일시적주정차허용시작시각(공휴일)일시적주정차허용종료시각(공휴일)명절허용여부시행일자해제일자관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
15061전라남도순천시46150덕원길소라마을~청미래2차(편측)10.21108:0019:00<NA><NA>00:0000:00<NA><NA>00:0000:00<NA><NA>N2021-01-13<NA>전라남도 순천시청061-749-55342023-06-134820000전라남도 순천시
11622경기도광주시41610무들로도평리 대주아파트-우림2차아파트1500.0307:0022:00<NA><NA>07:0022:00<NA><NA>07:0022:00<NA><NA>Y2009-03-13<NA>경기도 광주시청031-760-21122024-01-055540000경기도 광주시
931경기도구리시41310아차산로405번길아차산로 405번길 43앞 도로10.04107:0021:0000:0000:0007:0018:0000:0000:0000:0000:0000:0000:00N2017-04-25<NA>경기도 구리시청031-550-27642023-06-303980000경기도 구리시
9898충청남도태안군44825샘골로군청오거리~샘골삼거리2800.0208:0019:0012:0013:0000:0000:00<NA><NA>00:0000:00<NA><NA>Y2022-01-01<NA>충청남도 태안군청041-670-23292024-01-024620000충청남도 태안군
4549경기도고양시41280고양대로고양대로 2002번길20.017108:0021:00<NA><NA>11:0018:00<NA><NA>11:0018:00<NA><NA>N2021-05-10<NA>경기도 고양시 덕양구 교통행정과031-8075-54822023-09-223940000경기도 고양시
16620경기도이천시41500양진로사음동 173-4(기치미고개삼거리)~사음동 6791242.0108:0019:00<NA><NA>09:0019:00<NA><NA>00:0000:00<NA><NA>Y2016-04-01<NA>경기도 이천시청031-644-23872023-11-224070000경기도 이천시
8971충청남도천안시44131위례성로은석초보호구역종점부10.3200:0000:00<NA><NA>00:0000:00<NA><NA>00:0000:00<NA><NA>N2001-01-01<NA>충청남도 천안시041-521-58862023-06-284490000충청남도 천안시
9675경상남도거제시48310용소1길아주동 광우보람아파트 입구 신호대 ∼ 광우보람마트앞10.3308:0020:0011:3014:0008:0020:0011:3014:0008:0020:0011:3014:00N2014-01-01<NA>경상남도 거제시청055-639-45472024-01-185370000경상남도 거제시
13839인천광역시부평구28237장제로91번길장제로91번길 16 화이트캐슬~부평문화로106번길 9 골든파크장20.1100:0023:59<NA><NA>00:0023:59<NA><NA>00:0023:59<NA><NA>N2022-04-27<NA>인천광역시 부평구청032-509-67382024-02-143540000인천광역시 부평구
10688경기도의정부시41150청사로경기도청북부청사 앞 상업지역(좌)1250.0100:0023:5911:3014:0000:0023:5911:3014:0000:0023:5911:3014:00N2003-04-04<NA>경기도 의정부시청031-828-28822023-08-303820000경기도 의정부시
시도명시군구명시군구코드도로명상세위치지정방향구분코드금지구역총연장주정차금지유형코드평일주정차금지시작시각평일주정차금지종료시각일시적주정차허용시작시각(평일)일시적주정차허용종료시각(평일)토요일주정차금지시작시각토요일주정차금지종료시각일시적주정차허용시작시각(토요일)일시적주정차허용종료시각(토요일)공휴일주정차금지시작시각공휴일주정차금지종료시각일시적주정차허용시작시각(공휴일)일시적주정차허용종료시각(공휴일)명절허용여부시행일자해제일자관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
15460경기도수원시41110경기도 수원시 장안구 하률로(일부구간 어린이보호구역)천천로 138~하률로 311.56208:0021:0011:3014:0009:0018:0011:30<NA>00:0023:59<NA><NA>N2014-07-25<NA>경기도 수원시청031-228-63642023-08-223740000경기도 수원시
5773경기도고양시41280위시티로○식사동662-7-시종점: 식사동991-17 ※A(이마트에브리데이 앞 편측), B(노아스로스팅 앞 양측)-내용:A(45m, 편측-이마트에브리데이 측, 24시간), B(30m, 양측, 24시간)10.105308:0021:00<NA><NA>11:0018:00<NA><NA>11:0018:00<NA><NA>N2022-05-02<NA>경기도 고양시 일산동구 교통행정과031-8075-64822023-09-223940000경기도 고양시
1926경기도수원시41110권선구 고려병원권선구 도청10.4100:0023:59<NA><NA>00:0023:59<NA><NA>09:0018:00<NA><NA>N1996-04-08<NA>경기도 수원시청031-228-76692023-08-223740000경기도 수원시
8498부산광역시해운대구33300송정해변로 62송정임해행정봉사실 주변(82)11.0107:0022:00<NA><NA>07:0022:00<NA><NA>07:0022:00<NA><NA>Y1900-01-012100-01-01부산광역시 해운대구청051-749-45642023-12-043330000부산광역시 해운대구
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