Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells61752
Missing cells (%)18.2%
Duplicate rows38
Duplicate rows (%)0.4%
Total size in memory2.7 MiB
Average record size in memory288.0 B

Variable types

Text8
Categorical10
Numeric8
DateTime4
Unsupported3
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)
Author지방자치단체
URLhttps://www.data.go.kr/data/15012896/standard.do

Alerts

Dataset has 38 (0.4%) duplicate rowsDuplicates
주차장구분 is highly imbalanced (66.0%)Imbalance
부제시행구분 is highly imbalanced (85.8%)Imbalance
운영요일 is highly imbalanced (72.0%)Imbalance
평일운영종료시각 is highly imbalanced (63.7%)Imbalance
토요일운영종료시각 is highly imbalanced (68.6%)Imbalance
공휴일운영종료시각 is highly imbalanced (70.3%)Imbalance
결제방법 is highly imbalanced (63.7%)Imbalance
소재지도로명주소 has 5107 (51.1%) missing valuesMissing
소재지지번주소 has 577 (5.8%) missing valuesMissing
주차기본요금 has 2392 (23.9%) missing valuesMissing
추가단위시간 has 6047 (60.5%) missing valuesMissing
추가단위요금 has 6057 (60.6%) missing valuesMissing
1일주차권요금적용시간 has 7252 (72.5%) missing valuesMissing
1일주차권요금 has 6928 (69.3%) missing valuesMissing
월정기권요금 has 6954 (69.5%) missing valuesMissing
특기사항 has 8114 (81.1%) missing valuesMissing
전화번호 has 1411 (14.1%) missing valuesMissing
위도 has 1798 (18.0%) missing valuesMissing
경도 has 1802 (18.0%) missing valuesMissing
장애인전용주차구역보유여부 has 7313 (73.1%) missing valuesMissing
1일주차권요금적용시간 is highly skewed (γ1 = 23.3920895)Skewed
추가단위요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월정기권요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공기관코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주차기본시간 has 5650 (56.5%) zerosZeros
주차기본요금 has 4586 (45.9%) zerosZeros
추가단위시간 has 1305 (13.1%) zerosZeros
1일주차권요금적용시간 has 1229 (12.3%) zerosZeros
1일주차권요금 has 1201 (12.0%) zerosZeros

Reproduction

Analysis started2024-05-04 07:48:24.507861
Analysis finished2024-05-04 07:48:30.256269
Duration5.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

Distinct8858
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:48:30.768983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
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

Unique7816 ?
Unique (%)78.2%

Sample

1st row282-2-000010
2nd row307-2-000128
3rd row194-2-000089
4th row156-1-000079
5th row354-2-000210
ValueCountFrequency (%)
286-2-000110 17
 
0.2%
109-1-000001 12
 
0.1%
317-2-000011 6
 
0.1%
317-2-000018 5
 
< 0.1%
317-2-000001 5
 
< 0.1%
317-2-000006 5
 
< 0.1%
317-2-000019 5
 
< 0.1%
317-2-000017 5
 
< 0.1%
317-2-000009 5
 
< 0.1%
317-2-000016 5
 
< 0.1%
Other values (8848) 9930
99.3%
2024-05-04T07:48:31.968244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44734
37.3%
- 20000
16.7%
2 14257
 
11.9%
1 11795
 
9.8%
3 7046
 
5.9%
5 5126
 
4.3%
4 4475
 
3.7%
6 3665
 
3.1%
8 3170
 
2.6%
7 3007
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Dash Punctuation 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44734
44.7%
2 14257
 
14.3%
1 11795
 
11.8%
3 7046
 
7.0%
5 5126
 
5.1%
4 4475
 
4.5%
6 3665
 
3.7%
8 3170
 
3.2%
7 3007
 
3.0%
9 2725
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44734
37.3%
- 20000
16.7%
2 14257
 
11.9%
1 11795
 
9.8%
3 7046
 
5.9%
5 5126
 
4.3%
4 4475
 
3.7%
6 3665
 
3.1%
8 3170
 
2.6%
7 3007
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44734
37.3%
- 20000
16.7%
2 14257
 
11.9%
1 11795
 
9.8%
3 7046
 
5.9%
5 5126
 
4.3%
4 4475
 
3.7%
6 3665
 
3.1%
8 3170
 
2.6%
7 3007
 
2.5%

주차장명
Text

Distinct8676
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:48:33.393870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length8.9129
Min length1

Characters and Unicode

Total characters89129
Distinct characters734
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7619 ?
Unique (%)76.2%

Sample

1st row도담삼봉 주차장
2nd row옥도면 선유2
3rd row명덕 주차장
4th row와룡로45길인근
5th row낙동강둔치주차장-옥야동
ValueCountFrequency (%)
공영주차장 939
 
5.7%
주차장 854
 
5.2%
앞 329
 
2.0%
옆 209
 
1.3%
노상주차장 143
 
0.9%
주변 106
 
0.6%
노상 84
 
0.5%
뒤 79
 
0.5%
인근 74
 
0.4%
공용주차장 58
 
0.4%
Other values (9075) 13602
82.6%
2024-05-04T07:48:35.006085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6483
 
7.3%
장 6224
 
7.0%
주 5934
 
6.7%
차 5497
 
6.2%
공 3186
 
3.6%
영 2603
 
2.9%
동 2587
 
2.9%
1 1502
 
1.7%
제 1274
 
1.4%
노 1273
 
1.4%
Other values (724) 52566
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74676
83.8%
Space Separator 6483
 
7.3%
Decimal Number 5271
 
5.9%
Close Punctuation 833
 
0.9%
Open Punctuation 828
 
0.9%
Dash Punctuation 289
 
0.3%
Math Symbol 278
 
0.3%
Uppercase Letter 270
 
0.3%
Other Punctuation 130
 
0.1%
Lowercase Letter 46
 
0.1%
Other values (4) 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 6224
 
8.3%
주 5934
 
7.9%
차 5497
 
7.4%
공 3186
 
4.3%
영 2603
 
3.5%
동 2587
 
3.5%
제 1274
 
1.7%
노 1273
 
1.7%
상 1235
 
1.7%
지 1105
 
1.5%
Other values (651) 43758
58.6%
Uppercase Letter
ValueCountFrequency (%)
C 27
10.0%
K 27
10.0%
T 26
9.6%
B 24
 
8.9%
G 22
 
8.1%
I 21
 
7.8%
A 20
 
7.4%
P 15
 
5.6%
S 15
 
5.6%
L 10
 
3.7%
Other values (14) 63
23.3%
Lowercase Letter
ValueCountFrequency (%)
l 7
15.2%
e 6
13.0%
k 5
10.9%
c 4
8.7%
a 4
8.7%
h 4
8.7%
i 3
6.5%
y 3
6.5%
s 3
6.5%
g 2
 
4.3%
Other values (4) 5
10.9%
Decimal Number
ValueCountFrequency (%)
1 1502
28.5%
2 1183
22.4%
3 692
13.1%
4 499
 
9.5%
5 351
 
6.7%
6 263
 
5.0%
7 246
 
4.7%
8 197
 
3.7%
0 172
 
3.3%
9 166
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 73
56.2%
. 31
23.8%
/ 7
 
5.4%
@ 6
 
4.6%
· 5
 
3.8%
& 5
 
3.8%
? 3
 
2.3%
Math Symbol
ValueCountFrequency (%)
~ 174
62.6%
↔ 67
 
24.1%
～ 27
 
9.7%
+ 5
 
1.8%
> 3
 
1.1%
⇔ 2
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅲ 2
25.0%
Ⅰ 2
25.0%
Other Number
ValueCountFrequency (%)
② 4
50.0%
① 3
37.5%
③ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
6483
100.0%
Close Punctuation
ValueCountFrequency (%)
) 833
100.0%
Open Punctuation
ValueCountFrequency (%)
( 828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74682
83.8%
Common 14121
 
15.8%
Latin 324
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 6224
 
8.3%
주 5934
 
7.9%
차 5497
 
7.4%
공 3186
 
4.3%
영 2603
 
3.5%
동 2587
 
3.5%
제 1274
 
1.7%
노 1273
 
1.7%
상 1235
 
1.7%
지 1105
 
1.5%
Other values (650) 43764
58.6%
Latin
ValueCountFrequency (%)
C 27
 
8.3%
K 27
 
8.3%
T 26
 
8.0%
B 24
 
7.4%
G 22
 
6.8%
I 21
 
6.5%
A 20
 
6.2%
P 15
 
4.6%
S 15
 
4.6%
L 10
 
3.1%
Other values (31) 117
36.1%
Common
ValueCountFrequency (%)
6483
45.9%
1 1502
 
10.6%
2 1183
 
8.4%
) 833
 
5.9%
( 828
 
5.9%
3 692
 
4.9%
4 499
 
3.5%
5 351
 
2.5%
- 289
 
2.0%
6 263
 
1.9%
Other values (21) 1198
 
8.5%
Han
ValueCountFrequency (%)
下 1
50.0%
上 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74674
83.8%
ASCII 14328
 
16.1%
Arrows 69
 
0.1%
None 40
 
< 0.1%
Number Forms 8
 
< 0.1%
Enclosed Alphanum 8
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6483
45.2%
1 1502
 
10.5%
2 1183
 
8.3%
) 833
 
5.8%
( 828
 
5.8%
3 692
 
4.8%
4 499
 
3.5%
5 351
 
2.4%
- 289
 
2.0%
6 263
 
1.8%
Other values (52) 1405
 
9.8%
Hangul
ValueCountFrequency (%)
장 6224
 
8.3%
주 5934
 
7.9%
차 5497
 
7.4%
공 3186
 
4.3%
영 2603
 
3.5%
동 2587
 
3.5%
제 1274
 
1.7%
노 1273
 
1.7%
상 1235
 
1.7%
지 1105
 
1.5%
Other values (649) 43756
58.6%
Arrows
ValueCountFrequency (%)
↔ 67
97.1%
⇔ 2
 
2.9%
None
ValueCountFrequency (%)
～ 27
67.5%
㈜ 8
 
20.0%
· 5
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅲ 2
25.0%
Ⅰ 2
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 4
50.0%
① 3
37.5%
③ 1
 
12.5%
CJK
ValueCountFrequency (%)
下 1
50.0%
上 1
50.0%

주차장구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공영
9367 
민영
 
633

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 9367
93.7%
민영 633
 
6.3%

Length

2024-05-04T07:48:35.543028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:48:35.887948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 9367
93.7%
민영 633
 
6.3%

주차장유형
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
노외
6948 
노상
2687 
부설
 
365

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노외
2nd row노외
3rd row노외
4th row노상
5th row노외

Common Values

ValueCountFrequency (%)
노외 6948
69.5%
노상 2687
 
26.9%
부설 365
 
3.6%

Length

2024-05-04T07:48:36.220439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:48:36.470639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 6948
69.5%
노상 2687
 
26.9%
부설 365
 
3.6%

소재지도로명주소
Text

MISSING 

Distinct4347
Distinct (%)88.8%
Missing5107
Missing (%)51.1%
Memory size156.2 KiB
2024-05-04T07:48:37.056496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length20.350909
Min length1

Characters and Unicode

Total characters99577
Distinct characters464
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3920 ?
Unique (%)80.1%

Sample

1st row대구광역시 달서구 와룡로49길 55
2nd row경기도 과천시 용마2로 2
3rd row경기도 용인시 처인구 명지로 16
4th row경기도 여주시 가남읍 태평2길 26
5th row경기도 이천시 중리천로 125
ValueCountFrequency (%)
경기도 609
 
2.7%
경상북도 445
 
2.0%
서울특별시 435
 
2.0%
강원도 431
 
1.9%
중구 408
 
1.8%
인천광역시 390
 
1.8%
전라북도 389
 
1.8%
대구광역시 368
 
1.7%
대전광역시 323
 
1.5%
북구 251
 
1.1%
Other values (5496) 18124
81.7%
2024-05-04T07:48:38.205997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17281
 
17.4%
시 3972
 
4.0%
로 3808
 
3.8%
1 3413
 
3.4%
구 3208
 
3.2%
도 3160
 
3.2%
길 2421
 
2.4%
2 2315
 
2.3%
3 1970
 
2.0%
광 1768
 
1.8%
Other values (454) 56261
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63586
63.9%
Space Separator 17281
 
17.4%
Decimal Number 15979
 
16.0%
Dash Punctuation 1100
 
1.1%
Open Punctuation 755
 
0.8%
Close Punctuation 755
 
0.8%
Other Punctuation 119
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3972
 
6.2%
로 3808
 
6.0%
구 3208
 
5.0%
도 3160
 
5.0%
길 2421
 
3.8%
광 1768
 
2.8%
동 1633
 
2.6%
역 1562
 
2.5%
북 1469
 
2.3%
대 1416
 
2.2%
Other values (437) 39169
61.6%
Decimal Number
ValueCountFrequency (%)
1 3413
21.4%
2 2315
14.5%
3 1970
12.3%
4 1454
9.1%
5 1367
8.6%
6 1253
 
7.8%
7 1177
 
7.4%
8 1079
 
6.8%
0 985
 
6.2%
9 966
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 117
98.3%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
17281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 755
100.0%
Close Punctuation
ValueCountFrequency (%)
) 755
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63586
63.9%
Common 35991
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3972
 
6.2%
로 3808
 
6.0%
구 3208
 
5.0%
도 3160
 
5.0%
길 2421
 
3.8%
광 1768
 
2.8%
동 1633
 
2.6%
역 1562
 
2.5%
북 1469
 
2.3%
대 1416
 
2.2%
Other values (437) 39169
61.6%
Common
ValueCountFrequency (%)
17281
48.0%
1 3413
 
9.5%
2 2315
 
6.4%
3 1970
 
5.5%
4 1454
 
4.0%
5 1367
 
3.8%
6 1253
 
3.5%
7 1177
 
3.3%
- 1100
 
3.1%
8 1079
 
3.0%
Other values (7) 3582
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63584
63.9%
ASCII 35991
36.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17281
48.0%
1 3413
 
9.5%
2 2315
 
6.4%
3 1970
 
5.5%
4 1454
 
4.0%
5 1367
 
3.8%
6 1253
 
3.5%
7 1177
 
3.3%
- 1100
 
3.1%
8 1079
 
3.0%
Other values (7) 3582
 
10.0%
Hangul
ValueCountFrequency (%)
시 3972
 
6.2%
로 3808
 
6.0%
구 3208
 
5.0%
도 3160
 
5.0%
길 2421
 
3.8%
광 1768
 
2.8%
동 1633
 
2.6%
역 1562
 
2.5%
북 1469
 
2.3%
대 1416
 
2.2%
Other values (436) 39167
61.6%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
100.0%

소재지지번주소
Text

MISSING 

Distinct8571
Distinct (%)91.0%
Missing577
Missing (%)5.8%
Memory size156.2 KiB
2024-05-04T07:48:38.909164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length41
Mean length20.086597
Min length9

Characters and Unicode

Total characters189276
Distinct characters393
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

Unique7867 ?
Unique (%)83.5%

Sample

1st row충청북도 단양군 매포읍 하괴리 83 - 3
2nd row전라북도 군산시 옥도면 선유도리 279-8
3rd row울산광역시 동구 서부동 238
4th row대구광역시 달서구 죽전동 402-17
5th row경상북도 안동시 옥야동 424
ValueCountFrequency (%)
경기도 1264
 
3.0%
경상북도 876
 
2.1%
강원도 748
 
1.8%
인천광역시 614
 
1.5%
대구광역시 587
 
1.4%
경상남도 574
 
1.4%
전라북도 572
 
1.4%
충청남도 567
 
1.4%
전라남도 533
 
1.3%
중구 506
 
1.2%
Other values (9819) 34968
83.6%
2024-05-04T07:48:40.054821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32471
 
17.2%
1 8110
 
4.3%
동 7443
 
3.9%
시 7243
 
3.8%
- 7121
 
3.8%
도 6764
 
3.6%
2 5134
 
2.7%
구 4755
 
2.5%
3 4230
 
2.2%
4 3718
 
2.0%
Other values (383) 102287
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110593
58.4%
Decimal Number 38605
 
20.4%
Space Separator 32471
 
17.2%
Dash Punctuation 7121
 
3.8%
Other Punctuation 194
 
0.1%
Close Punctuation 135
 
0.1%
Open Punctuation 135
 
0.1%
Math Symbol 19
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7443
 
6.7%
시 7243
 
6.5%
도 6764
 
6.1%
구 4755
 
4.3%
리 3410
 
3.1%
광 3123
 
2.8%
경 2991
 
2.7%
군 2874
 
2.6%
남 2768
 
2.5%
역 2675
 
2.4%
Other values (358) 66547
60.2%
Decimal Number
ValueCountFrequency (%)
1 8110
21.0%
2 5134
13.3%
3 4230
11.0%
4 3718
9.6%
5 3304
8.6%
6 3221
 
8.3%
7 2846
 
7.4%
8 2783
 
7.2%
0 2630
 
6.8%
9 2629
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 175
90.2%
? 9
 
4.6%
· 6
 
3.1%
/ 2
 
1.0%
. 2
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 17
89.5%
∼ 1
 
5.3%
+ 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
32471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110593
58.4%
Common 78680
41.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7443
 
6.7%
시 7243
 
6.5%
도 6764
 
6.1%
구 4755
 
4.3%
리 3410
 
3.1%
광 3123
 
2.8%
경 2991
 
2.7%
군 2874
 
2.6%
남 2768
 
2.5%
역 2675
 
2.4%
Other values (358) 66547
60.2%
Common
ValueCountFrequency (%)
32471
41.3%
1 8110
 
10.3%
- 7121
 
9.1%
2 5134
 
6.5%
3 4230
 
5.4%
4 3718
 
4.7%
5 3304
 
4.2%
6 3221
 
4.1%
7 2846
 
3.6%
8 2783
 
3.5%
Other values (12) 5742
 
7.3%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110593
58.4%
ASCII 78676
41.6%
None 6
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32471
41.3%
1 8110
 
10.3%
- 7121
 
9.1%
2 5134
 
6.5%
3 4230
 
5.4%
4 3718
 
4.7%
5 3304
 
4.2%
6 3221
 
4.1%
7 2846
 
3.6%
8 2783
 
3.5%
Other values (13) 5738
 
7.3%
Hangul
ValueCountFrequency (%)
동 7443
 
6.7%
시 7243
 
6.5%
도 6764
 
6.1%
구 4755
 
4.3%
리 3410
 
3.1%
광 3123
 
2.8%
경 2991
 
2.7%
군 2874
 
2.6%
남 2768
 
2.5%
역 2675
 
2.4%
Other values (358) 66547
60.2%
None
ValueCountFrequency (%)
· 6
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

주차구획수
Real number (ℝ)

Distinct458
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.9581
Minimum0
Maximum4261
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:48:40.529637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q116
median31
Q366
95-th percentile203
Maximum4261
Range4261
Interquartile range (IQR)50

Descriptive statistics

Standard deviation105.24183
Coefficient of variation (CV)1.7264618
Kurtosis328.00483
Mean60.9581
Median Absolute Deviation (MAD)19
Skewness11.893488
Sum609581
Variance11075.843
MonotonicityNot monotonic
2024-05-04T07:48:40.979106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 323
 
3.2%
20 286
 
2.9%
30 245
 
2.5%
12 226
 
2.3%
14 221
 
2.2%
17 215
 
2.1%
15 211
 
2.1%
18 208
 
2.1%
9 198
 
2.0%
25 197
 
2.0%
Other values (448) 7670
76.7%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 5
 
0.1%
2 24
 
0.2%
3 64
 
0.6%
4 109
1.1%
5 143
1.4%
6 156
1.6%
7 153
1.5%
8 192
1.9%
9 198
2.0%
ValueCountFrequency (%)
4261 1
< 0.1%
2800 1
< 0.1%
1500 1
< 0.1%
1432 1
< 0.1%
1430 1
< 0.1%
1317 1
< 0.1%
1260 1
< 0.1%
1248 1
< 0.1%
1157 1
< 0.1%
1092 1
< 0.1%

급지구분
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4097 
2
2366 
기타
1923 
3
1006 
4
472 
Other values (2)
 
136

Length

Max length2
Median length1
Mean length1.1923
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 4097
41.0%
2 2366
23.7%
기타 1923
19.2%
3 1006
 
10.1%
4 472
 
4.7%
5 135
 
1.4%
- 1
 
< 0.1%

Length

2024-05-04T07:48:41.445503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:48:41.822741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4097
41.0%
2 2366
23.7%
기타 1923
19.2%
3 1006
 
10.1%
4 472
 
4.7%
5 135
 
1.4%
1
 
< 0.1%

부제시행구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
미시행
9538 
요일제
 
441
5부제
 
14
2부제
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 9538
95.4%
요일제 441
 
4.4%
5부제 14
 
0.1%
2부제 7
 
0.1%

Length

2024-05-04T07:48:42.316227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:48:42.819801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 9538
95.4%
요일제 441
 
4.4%
5부제 14
 
0.1%
2부제 7
 
0.1%

운영요일
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평일+토요일+공휴일
8369 
평일
 
551
평일+토+공휴일
 
531
평일+토요일
 
505
평일+토
 
31
Other values (5)
 
13

Length

Max length10
Median length10
Mean length9.2302
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row평일+토요일+공휴일
2nd row평일+토요일+공휴일
3rd row평일+토요일+공휴일
4th row평일+토요일+공휴일
5th row평일+토요일+공휴일

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 8369
83.7%
평일 551
 
5.5%
평일+토+공휴일 531
 
5.3%
평일+토요일 505
 
5.1%
평일+토 31
 
0.3%
평일+토요일+일요일 6
 
0.1%
토요일+공휴일 3
 
< 0.1%
평일+주말+공휴일 2
 
< 0.1%
토요일 1
 
< 0.1%
평일+공휴일 1
 
< 0.1%

Length

2024-05-04T07:48:43.428492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:48:43.892950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 8369
83.7%
평일 551
 
5.5%
평일+토+공휴일 531
 
5.3%
평일+토요일 505
 
5.1%
평일+토 31
 
0.3%
평일+토요일+일요일 6
 
0.1%
토요일+공휴일 3
 
< 0.1%
평일+주말+공휴일 2
 
< 0.1%
토요일 1
 
< 0.1%
평일+공휴일 1
 
< 0.1%

평일운영시작시각
Date

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 23:59:00
2024-05-04T07:48:44.452185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:48:45.001845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

평일운영종료시각
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
23:59
7297 
20:00
 
453
19:00
 
428
18:00
 
404
00:00
 
379
Other values (22)
1039 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row17:30
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 7297
73.0%
20:00 453
 
4.5%
19:00 428
 
4.3%
18:00 404
 
4.0%
00:00 379
 
3.8%
22:00 330
 
3.3%
18:30 256
 
2.6%
21:00 170
 
1.7%
23:00 93
 
0.9%
11:59 47
 
0.5%
Other values (17) 143
 
1.4%

Length

2024-05-04T07:48:45.558648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 7297
73.0%
20:00 453
 
4.5%
19:00 428
 
4.3%
18:00 404
 
4.0%
00:00 379
 
3.8%
22:00 330
 
3.3%
18:30 256
 
2.6%
21:00 170
 
1.7%
23:00 93
 
0.9%
11:59 47
 
0.5%
Other values (17) 143
 
1.4%

토요일운영시작시각
Date

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 23:59:00
2024-05-04T07:48:46.078029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:48:46.583906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

토요일운영종료시각
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
23:59
7587 
00:00
906 
20:00
 
360
22:00
 
277
19:00
 
200
Other values (24)
 
670

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row17:30
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 7587
75.9%
00:00 906
 
9.1%
20:00 360
 
3.6%
22:00 277
 
2.8%
19:00 200
 
2.0%
18:00 147
 
1.5%
21:00 137
 
1.4%
23:00 84
 
0.8%
15:00 81
 
0.8%
17:00 58
 
0.6%
Other values (19) 163
 
1.6%

Length

2024-05-04T07:48:46.978570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 7587
75.9%
00:00 906
 
9.1%
20:00 360
 
3.6%
22:00 277
 
2.8%
19:00 200
 
2.0%
18:00 147
 
1.5%
21:00 137
 
1.4%
23:00 84
 
0.8%
15:00 81
 
0.8%
17:00 58
 
0.6%
Other values (19) 163
 
1.6%

공휴일운영시작시각
Date

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 23:59:00
2024-05-04T07:48:47.384760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:48:47.856519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
23:59
7536 
00:00
1456 
20:00
 
275
22:00
 
226
21:00
 
101
Other values (19)
 
406

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row17:30
2nd row23:59
3rd row23:59
4th row23:59
5th row23:59

Common Values

ValueCountFrequency (%)
23:59 7536
75.4%
00:00 1456
 
14.6%
20:00 275
 
2.8%
22:00 226
 
2.3%
21:00 101
 
1.0%
19:00 93
 
0.9%
18:00 73
 
0.7%
23:00 72
 
0.7%
11:59 47
 
0.5%
19:30 28
 
0.3%
Other values (14) 93
 
0.9%

Length

2024-05-04T07:48:48.377869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 7536
75.4%
00:00 1456
 
14.6%
20:00 275
 
2.8%
22:00 226
 
2.3%
21:00 101
 
1.0%
19:00 93
 
0.9%
18:00 73
 
0.7%
23:00 72
 
0.7%
11:59 47
 
0.5%
19:30 28
 
0.3%
Other values (14) 93
 
0.9%

요금정보
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무료
6469 
유료
2998 
혼합
 
533

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row혼합
2nd row유료
3rd row무료
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
무료 6469
64.7%
유료 2998
30.0%
혼합 533
 
5.3%

Length

2024-05-04T07:48:48.756690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:48:49.153596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 6469
64.7%
유료 2998
30.0%
혼합 533
 
5.3%

주차기본시간
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.4503
Minimum0
Maximum1440
Zeros5650
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:48:49.591043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile60
Maximum1440
Range1440
Interquartile range (IQR)30

Descriptive statistics

Standard deviation237.69675
Coefficient of variation (CV)4.447061
Kurtosis29.558334
Mean53.4503
Median Absolute Deviation (MAD)0
Skewness5.5905305
Sum534503
Variance56499.743
MonotonicityNot monotonic
2024-05-04T07:48:50.121768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5650
56.5%
30.0 2117
 
21.2%
10.0 665
 
6.7%
60.0 650
 
6.5%
5.0 373
 
3.7%
1440.0 256
 
2.6%
20.0 89
 
0.9%
24.0 53
 
0.5%
180.0 39
 
0.4%
1.0 34
 
0.3%
Other values (11) 74
 
0.7%
ValueCountFrequency (%)
0.0 5650
56.5%
0.5 2
 
< 0.1%
1.0 34
 
0.3%
2.0 3
 
< 0.1%
5.0 373
 
3.7%
10.0 665
 
6.7%
15.0 21
 
0.2%
20.0 89
 
0.9%
24.0 53
 
0.5%
30.0 2117
 
21.2%
ValueCountFrequency (%)
1440.0 256
 
2.6%
1400.0 28
 
0.3%
540.0 2
 
< 0.1%
510.0 1
 
< 0.1%
480.0 5
 
0.1%
180.0 39
 
0.4%
130.0 1
 
< 0.1%
120.0 8
 
0.1%
60.0 650
6.5%
45.0 2
 
< 0.1%

주차기본요금
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)0.6%
Missing2392
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean387.90681
Minimum0
Maximum40000
Zeros4586
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:48:50.661741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3400
95-th percentile1000
Maximum40000
Range40000
Interquartile range (IQR)400

Descriptive statistics

Standard deviation2565.986
Coefficient of variation (CV)6.6149547
Kurtosis228.64191
Mean387.90681
Median Absolute Deviation (MAD)0
Skewness15.007349
Sum2951195
Variance6584284
MonotonicityNot monotonic
2024-05-04T07:48:51.251884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 4586
45.9%
500 662
 
6.6%
600 495
 
5.0%
400 424
 
4.2%
1000 353
 
3.5%
300 188
 
1.9%
200 151
 
1.5%
100 148
 
1.5%
800 135
 
1.4%
150 119
 
1.2%
Other values (33) 347
 
3.5%
(Missing) 2392
23.9%
ValueCountFrequency (%)
0 4586
45.9%
30 2
 
< 0.1%
50 36
 
0.4%
65 5
 
0.1%
80 1
 
< 0.1%
100 148
 
1.5%
120 6
 
0.1%
130 6
 
0.1%
150 119
 
1.2%
160 1
 
< 0.1%
ValueCountFrequency (%)
40000 31
 
0.3%
6000 2
 
< 0.1%
5000 4
 
< 0.1%
4000 2
 
< 0.1%
3000 31
 
0.3%
2500 1
 
< 0.1%
2000 38
 
0.4%
1500 27
 
0.3%
1200 4
 
< 0.1%
1000 353
3.5%

추가단위시간
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.4%
Missing6047
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean9.6237035
Minimum0
Maximum720
Zeros1305
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:48:51.795954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q310
95-th percentile30
Maximum720
Range720
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.574435
Coefficient of variation (CV)2.0339815
Kurtosis532.91886
Mean9.6237035
Median Absolute Deviation (MAD)5
Skewness18.209393
Sum38042.5
Variance383.1585
MonotonicityNot monotonic
2024-05-04T07:48:52.203121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10.0 1535
 
15.3%
0.0 1305
 
13.1%
15.0 471
 
4.7%
5.0 327
 
3.3%
30.0 251
 
2.5%
60.0 38
 
0.4%
180.0 8
 
0.1%
120.0 5
 
0.1%
100.0 4
 
< 0.1%
0.25 2
 
< 0.1%
Other values (5) 7
 
0.1%
(Missing) 6047
60.5%
ValueCountFrequency (%)
0.0 1305
13.1%
0.25 2
 
< 0.1%
1.0 2
 
< 0.1%
5.0 327
 
3.3%
10.0 1535
15.3%
15.0 471
 
4.7%
20.0 1
 
< 0.1%
30.0 251
 
2.5%
60.0 38
 
0.4%
100.0 4
 
< 0.1%
ValueCountFrequency (%)
720.0 1
 
< 0.1%
400.0 2
 
< 0.1%
200.0 1
 
< 0.1%
180.0 8
 
0.1%
120.0 5
 
0.1%
100.0 4
 
< 0.1%
60.0 38
 
0.4%
30.0 251
2.5%
20.0 1
 
< 0.1%
15.0 471
4.7%

추가단위요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6057
Missing (%)60.6%
Memory size156.2 KiB

1일주차권요금적용시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct62
Distinct (%)2.3%
Missing7252
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean16532.749
Minimum0
Maximum9002100
Zeros1229
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:48:52.808376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q324
95-th percentile600
Maximum9002100
Range9002100
Interquartile range (IQR)24

Descriptive statistics

Standard deviation383698.52
Coefficient of variation (CV)23.208392
Kurtosis545.59003
Mean16532.749
Median Absolute Deviation (MAD)5
Skewness23.392089
Sum45431994
Variance1.4722455 × 1011
MonotonicityNot monotonic
2024-05-04T07:48:53.446384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1229
 
12.3%
24.0 378
 
3.8%
5.0 239
 
2.4%
10.0 100
 
1.0%
300.0 65
 
0.7%
12.0 54
 
0.5%
6.0 51
 
0.5%
4.0 49
 
0.5%
9.0 48
 
0.5%
600.0 43
 
0.4%
Other values (52) 492
 
4.9%
(Missing) 7252
72.5%
ValueCountFrequency (%)
0.0 1229
12.3%
3.0 7
 
0.1%
3.5 29
 
0.3%
4.0 49
 
0.5%
4.3 15
 
0.1%
4.5 26
 
0.3%
5.0 239
 
2.4%
6.0 51
 
0.5%
6.75 2
 
< 0.1%
7.0 3
 
< 0.1%
ValueCountFrequency (%)
9002100.0 1
 
< 0.1%
9001900.0 4
 
< 0.1%
32000.0 1
 
< 0.1%
8000.0 5
 
0.1%
7000.0 8
 
0.1%
6000.0 2
 
< 0.1%
5000.0 14
0.1%
3000.0 1
 
< 0.1%
2400.0 10
 
0.1%
1440.0 26
0.3%

1일주차권요금
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)1.3%
Missing6928
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean4223.7305
Minimum0
Maximum70000
Zeros1201
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:48:53.865123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4000
Q37000
95-th percentile10000
Maximum70000
Range70000
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation5516.064
Coefficient of variation (CV)1.3059697
Kurtosis57.825516
Mean4223.7305
Median Absolute Deviation (MAD)4000
Skewness5.5546795
Sum12975300
Variance30426962
MonotonicityNot monotonic
2024-05-04T07:48:54.390987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 1201
 
12.0%
6000 355
 
3.5%
4000 230
 
2.3%
10000 225
 
2.2%
5000 208
 
2.1%
7000 182
 
1.8%
8000 146
 
1.5%
2400 88
 
0.9%
3000 58
 
0.6%
9000 56
 
0.6%
Other values (29) 323
 
3.2%
(Missing) 6928
69.3%
ValueCountFrequency (%)
0 1201
12.0%
1000 2
 
< 0.1%
1500 2
 
< 0.1%
2000 29
 
0.3%
2400 88
 
0.9%
3000 58
 
0.6%
3500 32
 
0.3%
3600 4
 
< 0.1%
3900 9
 
0.1%
4000 230
 
2.3%
ValueCountFrequency (%)
70000 8
0.1%
60000 1
 
< 0.1%
50000 1
 
< 0.1%
35000 6
0.1%
30000 2
 
< 0.1%
21000 6
0.1%
20000 9
0.1%
17000 11
0.1%
16500 12
0.1%
15000 10
0.1%

월정기권요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6954
Missing (%)69.5%
Memory size156.2 KiB

결제방법
Categorical

IMBALANCE 

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6833 
현금
707 
신용카드
692 
현금+신용카드
 
467
카드
 
381
Other values (39)
920 

Length

Max length13
Median length4
Mean length4.0448
Min length1

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6833
68.3%
현금 707
 
7.1%
신용카드 692
 
6.9%
현금+신용카드 467
 
4.7%
카드 381
 
3.8%
현금+카드 201
 
2.0%
무료 168
 
1.7%
카드결제 64
 
0.6%
해당없음 58
 
0.6%
카드+계좌이체 46
 
0.5%
Other values (34) 383
 
3.8%

Length

2024-05-04T07:48:54.983696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6833
67.9%
현금 743
 
7.4%
신용카드 709
 
7.0%
현금+신용카드 467
 
4.6%
카드 402
 
4.0%
현금+카드 201
 
2.0%
무료 168
 
1.7%
카드결제 64
 
0.6%
해당없음 58
 
0.6%
카드+계좌이체 46
 
0.5%
Other values (33) 379
 
3.8%

특기사항
Text

MISSING 

Distinct261
Distinct (%)13.8%
Missing8114
Missing (%)81.1%
Memory size156.2 KiB
2024-05-04T07:48:55.678070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length168
Mean length38.247084
Min length1

Characters and Unicode

Total characters72134
Distinct characters289
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)5.7%

Sample

1st row국가유공자100퍼센트 감면+경차ㆍ저공해차량ㆍ장애인차량 등 50퍼센트 감면+공휴일 무료 운영
2nd row부산광역시 주차장 설치 및 관리 조례에 따른 주차요금 감면 적용
3rd row국가유공자+장애인+고엽제후휴의증+임산부+저공해자동차+경차+전통시장이용자 할인
4th row경차·장애인 차량 50프로 할인
5th row경형자동차 60 감면+장애인 차량 및 저공해자동차 표지부착 50 감면
ValueCountFrequency (%)
차량 527
 
4.6%
50프로 459
 
4.0%
할인 450
 
3.9%
307
 
2.7%
등 298
 
2.6%
장애인 284
 
2.5%
경차 267
 
2.3%
감면 252
 
2.2%
없음 197
 
1.7%
및 190
 
1.7%
Other values (691) 8240
71.8%
2024-05-04T07:48:57.028400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9764
 
13.5%
차 3140
 
4.4%
자 2907
 
4.0%
0 2814
 
3.9%
인 2571
 
3.6%
+ 2441
 
3.4%
5 1501
 
2.1%
할 1455
 
2.0%
장 1321
 
1.8%
공 1295
 
1.8%
Other values (279) 42925
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48564
67.3%
Space Separator 9764
 
13.5%
Decimal Number 6638
 
9.2%
Math Symbol 2551
 
3.5%
Other Punctuation 2372
 
3.3%
Close Punctuation 987
 
1.4%
Open Punctuation 987
 
1.4%
Dash Punctuation 216
 
0.3%
Lowercase Letter 52
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 3140
 
6.5%
자 2907
 
6.0%
인 2571
 
5.3%
할 1455
 
3.0%
장 1321
 
2.7%
공 1295
 
2.7%
경 1223
 
2.5%
량 1161
 
2.4%
로 1118
 
2.3%
유 1030
 
2.1%
Other values (248) 31343
64.5%
Decimal Number
ValueCountFrequency (%)
0 2814
42.4%
5 1501
22.6%
1 714
 
10.8%
2 416
 
6.3%
8 334
 
5.0%
6 323
 
4.9%
3 286
 
4.3%
4 134
 
2.0%
9 96
 
1.4%
7 20
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 1265
53.3%
· 328
 
13.8%
. 263
 
11.1%
: 251
 
10.6%
/ 141
 
5.9%
* 124
 
5.2%
Math Symbol
ValueCountFrequency (%)
+ 2441
95.7%
~ 106
 
4.2%
> 2
 
0.1%
< 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 982
99.5%
」 4
 
0.4%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 982
99.5%
「 4
 
0.4%
[ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 38
73.1%
i 14
 
26.9%
Space Separator
ValueCountFrequency (%)
9764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Other Symbol
ValueCountFrequency (%)
◆ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48564
67.3%
Common 23518
32.6%
Latin 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 3140
 
6.5%
자 2907
 
6.0%
인 2571
 
5.3%
할 1455
 
3.0%
장 1321
 
2.7%
공 1295
 
2.7%
경 1223
 
2.5%
량 1161
 
2.4%
로 1118
 
2.3%
유 1030
 
2.1%
Other values (248) 31343
64.5%
Common
ValueCountFrequency (%)
9764
41.5%
0 2814
 
12.0%
+ 2441
 
10.4%
5 1501
 
6.4%
, 1265
 
5.4%
) 982
 
4.2%
( 982
 
4.2%
1 714
 
3.0%
2 416
 
1.8%
8 334
 
1.4%
Other values (19) 2305
 
9.8%
Latin
ValueCountFrequency (%)
c 38
73.1%
i 14
 
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48517
67.3%
ASCII 23231
32.2%
None 336
 
0.5%
Compat Jamo 47
 
0.1%
Geometric Shapes 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9764
42.0%
0 2814
 
12.1%
+ 2441
 
10.5%
5 1501
 
6.5%
, 1265
 
5.4%
) 982
 
4.2%
( 982
 
4.2%
1 714
 
3.1%
2 416
 
1.8%
8 334
 
1.4%
Other values (17) 2018
 
8.7%
Hangul
ValueCountFrequency (%)
차 3140
 
6.5%
자 2907
 
6.0%
인 2571
 
5.3%
할 1455
 
3.0%
장 1321
 
2.7%
공 1295
 
2.7%
경 1223
 
2.5%
량 1161
 
2.4%
로 1118
 
2.3%
유 1030
 
2.1%
Other values (247) 31296
64.5%
None
ValueCountFrequency (%)
· 328
97.6%
」 4
 
1.2%
「 4
 
1.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 47
100.0%
Geometric Shapes
ValueCountFrequency (%)
◆ 3
100.0%

관리기관명
Text

Distinct583
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:48:57.566897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length10.1168
Min length2

Characters and Unicode

Total characters101168
Distinct characters298
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)2.4%

Sample

1st row충청북도 단양군청
2nd row전라북도 군산시청
3rd row울산광역시 동구청
4th row대구광역시 달서구청
5th row경상북도 안동시청
ValueCountFrequency (%)
경상북도 927
 
4.6%
경기도 921
 
4.6%
강원도 742
 
3.7%
경상남도 569
 
2.8%
충청남도 559
 
2.8%
전라북도 558
 
2.8%
전라남도 508
 
2.5%
인천광역시 507
 
2.5%
강원특별자치도 492
 
2.5%
대전광역시 481
 
2.4%
Other values (605) 13709
68.6%
2024-05-04T07:48:58.602775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9973
 
9.9%
시 8646
 
8.5%
청 8166
 
8.1%
도 7187
 
7.1%
구 3159
 
3.1%
광 2840
 
2.8%
군 2795
 
2.8%
경 2764
 
2.7%
역 2423
 
2.4%
주 2380
 
2.4%
Other values (288) 50835
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91053
90.0%
Space Separator 9973
 
9.9%
Close Punctuation 45
 
< 0.1%
Open Punctuation 45
 
< 0.1%
Decimal Number 39
 
< 0.1%
Other Symbol 5
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8646
 
9.5%
청 8166
 
9.0%
도 7187
 
7.9%
구 3159
 
3.5%
광 2840
 
3.1%
군 2795
 
3.1%
경 2764
 
3.0%
역 2423
 
2.7%
주 2380
 
2.6%
북 2322
 
2.6%
Other values (274) 48371
53.1%
Decimal Number
ValueCountFrequency (%)
1 13
33.3%
4 8
20.5%
2 7
17.9%
5 6
15.4%
3 5
 
12.8%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
: 2
40.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
Z 1
50.0%
Space Separator
ValueCountFrequency (%)
9973
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91058
90.0%
Common 10108
 
10.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8646
 
9.5%
청 8166
 
9.0%
도 7187
 
7.9%
구 3159
 
3.5%
광 2840
 
3.1%
군 2795
 
3.1%
경 2764
 
3.0%
역 2423
 
2.7%
주 2380
 
2.6%
북 2322
 
2.6%
Other values (275) 48376
53.1%
Common
ValueCountFrequency (%)
9973
98.7%
) 45
 
0.4%
( 45
 
0.4%
1 13
 
0.1%
4 8
 
0.1%
2 7
 
0.1%
5 6
 
0.1%
3 5
 
< 0.1%
/ 3
 
< 0.1%
: 2
 
< 0.1%
Latin
ValueCountFrequency (%)
D 1
50.0%
Z 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91053
90.0%
ASCII 10110
 
10.0%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9973
98.6%
) 45
 
0.4%
( 45
 
0.4%
1 13
 
0.1%
4 8
 
0.1%
2 7
 
0.1%
5 6
 
0.1%
3 5
 
< 0.1%
/ 3
 
< 0.1%
: 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
시 8646
 
9.5%
청 8166
 
9.0%
도 7187
 
7.9%
구 3159
 
3.5%
광 2840
 
3.1%
군 2795
 
3.1%
경 2764
 
3.0%
역 2423
 
2.7%
주 2380
 
2.6%
북 2322
 
2.6%
Other values (274) 48371
53.1%
None
ValueCountFrequency (%)
㈜ 5
100.0%

전화번호
Text

MISSING 

Distinct777
Distinct (%)9.0%
Missing1411
Missing (%)14.1%
Memory size156.2 KiB
2024-05-04T07:48:59.399999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.864129
Min length3

Characters and Unicode

Total characters101901
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

Unique428 ?
Unique (%)5.0%

Sample

1st row043-420-2498
2nd row063-454-3812
3rd row052-209-3722
4th row053-667-3092
5th row054-840-5424
ValueCountFrequency (%)
042-120 236
 
2.7%
063-454-3812 207
 
2.4%
033-370-2356 188
 
2.2%
033-640-5624 145
 
1.7%
032-460-0530 141
 
1.6%
043-201-2844 137
 
1.6%
033-330-2285 134
 
1.6%
053-665-3012 127
 
1.5%
062-608-2914 119
 
1.4%
033-737-3544 114
 
1.3%
Other values (767) 7041
82.0%
2024-05-04T07:49:00.464886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 16897
16.6%
0 16307
16.0%
3 12603
12.4%
2 10313
10.1%
5 9097
8.9%
4 8825
8.7%
6 7528
7.4%
1 6594
 
6.5%
8 5220
 
5.1%
7 4305
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85004
83.4%
Dash Punctuation 16897
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16307
19.2%
3 12603
14.8%
2 10313
12.1%
5 9097
10.7%
4 8825
10.4%
6 7528
8.9%
1 6594
7.8%
8 5220
 
6.1%
7 4305
 
5.1%
9 4212
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 16897
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 101901
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 16897
16.6%
0 16307
16.0%
3 12603
12.4%
2 10313
10.1%
5 9097
8.9%
4 8825
8.7%
6 7528
7.4%
1 6594
 
6.5%
8 5220
 
5.1%
7 4305
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 16897
16.6%
0 16307
16.0%
3 12603
12.4%
2 10313
10.1%
5 9097
8.9%
4 8825
8.7%
6 7528
7.4%
1 6594
 
6.5%
8 5220
 
5.1%
7 4305
 
4.2%

위도
Real number (ℝ)

MISSING 

Distinct7321
Distinct (%)89.3%
Missing1798
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean36.544896
Minimum33.220333
Maximum38.544002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:49:01.047580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.220333
5-th percentile35.080885
Q135.807813
median36.55499
Q337.456927
95-th percentile37.854674
Maximum38.544002
Range5.3236694
Interquartile range (IQR)1.6491133

Descriptive statistics

Standard deviation0.98585402
Coefficient of variation (CV)0.026976518
Kurtosis-0.7428425
Mean36.544896
Median Absolute Deviation (MAD)0.88940242
Skewness-0.3386069
Sum299741.23
Variance0.97190816
MonotonicityNot monotonic
2024-05-04T07:49:01.559388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.53526694 11
 
0.1%
35.8898311 7
 
0.1%
35.47085304 7
 
0.1%
35.37445604 6
 
0.1%
35.88867297 6
 
0.1%
35.37531489 5
 
0.1%
35.37237526 5
 
0.1%
35.37313648 5
 
0.1%
35.37808448 5
 
0.1%
36.32526739 5
 
0.1%
Other values (7311) 8140
81.4%
(Missing) 1798
 
18.0%
ValueCountFrequency (%)
33.22033253 1
< 0.1%
33.22124006 1
< 0.1%
33.222557 1
< 0.1%
33.223648 1
< 0.1%
33.235151 1
< 0.1%
33.235943 1
< 0.1%
33.236971 1
< 0.1%
33.23938649 1
< 0.1%
33.242873 1
< 0.1%
33.244605 1
< 0.1%
ValueCountFrequency (%)
38.54400194 2
< 0.1%
38.4984657 1
 
< 0.1%
38.48138177 1
 
< 0.1%
38.44915909 1
 
< 0.1%
38.44772468 1
 
< 0.1%
38.44599629 1
 
< 0.1%
38.38129688 1
 
< 0.1%
38.38110091 1
 
< 0.1%
38.37710159 3
< 0.1%
38.33623615 1
 
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct7301
Distinct (%)89.1%
Missing1802
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean127.65717
Minimum124.61964
Maximum130.90976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:49:02.096947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.61964
5-th percentile126.63119
Q1126.91373
median127.38052
Q3128.50069
95-th percentile129.27002
Maximum130.90976
Range6.2901179
Interquartile range (IQR)1.5869519

Descriptive statistics

Standard deviation0.8883248
Coefficient of variation (CV)0.0069586754
Kurtosis-0.99991205
Mean127.65717
Median Absolute Deviation (MAD)0.6314552
Skewness0.46390734
Sum1046533.5
Variance0.78912094
MonotonicityNot monotonic
2024-05-04T07:49:02.733050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.2595317 11
 
0.1%
128.5610742 7
 
0.1%
129.1336801 7
 
0.1%
128.5696997 6
 
0.1%
127.1373693 6
 
0.1%
127.1440124 5
 
0.1%
127.729773 5
 
0.1%
127.144608 5
 
0.1%
127.1453344 5
 
0.1%
127.810691 5
 
0.1%
Other values (7291) 8136
81.4%
(Missing) 1802
 
18.0%
ValueCountFrequency (%)
124.6196413 1
< 0.1%
124.6645798 1
< 0.1%
124.683203 2
< 0.1%
124.717405 1
< 0.1%
124.7177875 1
< 0.1%
124.7214044 1
< 0.1%
124.7349257 2
< 0.1%
125.6851891 1
< 0.1%
125.7107778 1
< 0.1%
126.1026927 1
< 0.1%
ValueCountFrequency (%)
130.9097592 1
< 0.1%
130.9041943 1
< 0.1%
129.565744 1
< 0.1%
129.5619619 1
< 0.1%
129.5604679 1
< 0.1%
129.5556114 1
< 0.1%
129.5194477 1
< 0.1%
129.5179995 1
< 0.1%
129.4935725 1
< 0.1%
129.488975 1
< 0.1%

장애인전용주차구역보유여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing7313
Missing (%)73.1%
Memory size97.7 KiB
True
1571 
False
1116 
(Missing)
7313 
ValueCountFrequency (%)
True 1571
 
15.7%
False 1116
 
11.2%
(Missing) 7313
73.1%
2024-05-04T07:49:03.213612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-04-18 00:00:00
Maximum2024-05-01 00:00:00
2024-05-04T07:49:03.576687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:49:04.012809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

제공기관명
Text

Distinct287
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:49:04.817530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.324
Min length5

Characters and Unicode

Total characters83240
Distinct characters141
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

Unique7 ?
Unique (%)0.1%

Sample

1st row충청북도 단양군
2nd row전북특별자치도 군산시
3rd row울산광역시
4th row대구광역시 달서구
5th row경상북도 안동시
ValueCountFrequency (%)
경기도 1349
 
7.1%
경상북도 1004
 
5.3%
강원특별자치도 642
 
3.4%
강원도 601
 
3.2%
대구광역시 579
 
3.1%
경상남도 576
 
3.0%
충청남도 559
 
2.9%
전라남도 538
 
2.8%
대전광역시 487
 
2.6%
서울특별시 424
 
2.2%
Other values (238) 12197
64.3%
2024-05-04T07:49:06.215564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8956
 
10.8%
시 8055
 
9.7%
도 6883
 
8.3%
구 3229
 
3.9%
경 3155
 
3.8%
광 3018
 
3.6%
군 2799
 
3.4%
역 2632
 
3.2%
북 2407
 
2.9%
남 2258
 
2.7%
Other values (131) 39848
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74284
89.2%
Space Separator 8956
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8055
 
10.8%
도 6883
 
9.3%
구 3229
 
4.3%
경 3155
 
4.2%
광 3018
 
4.1%
군 2799
 
3.8%
역 2632
 
3.5%
북 2407
 
3.2%
남 2258
 
3.0%
주 1848
 
2.5%
Other values (130) 38000
51.2%
Space Separator
ValueCountFrequency (%)
8956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74284
89.2%
Common 8956
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8055
 
10.8%
도 6883
 
9.3%
구 3229
 
4.3%
경 3155
 
4.2%
광 3018
 
4.1%
군 2799
 
3.8%
역 2632
 
3.5%
북 2407
 
3.2%
남 2258
 
3.0%
주 1848
 
2.5%
Other values (130) 38000
51.2%
Common
ValueCountFrequency (%)
8956
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74284
89.2%
ASCII 8956
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8956
100.0%
Hangul
ValueCountFrequency (%)
시 8055
 
10.8%
도 6883
 
9.3%
구 3229
 
4.3%
경 3155
 
4.2%
광 3018
 
4.1%
군 2799
 
3.8%
역 2632
 
3.5%
북 2407
 
3.2%
남 2258
 
3.0%
주 1848
 
2.5%
Other values (130) 38000
51.2%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도장애인전용주차구역보유여부데이터기준일자제공기관코드제공기관명
7378282-2-000010도담삼봉 주차장공영노외<NA>충청북도 단양군 매포읍 하괴리 83 - 31202미시행평일+토요일+공휴일09:0017:3009:0017:3009:0017:30혼합510.03000<NA>NaN<NA><NA>NaN<NA><NA>충청북도 단양군청043-420-2498<NA><NA><NA>2023-07-134480000충청북도 단양군
10875307-2-000128옥도면 선유2공영노외<NA>전라북도 군산시 옥도면 선유도리 279-8359기타미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료60.0<NA><NA>NaN<NA><NA>NaN<NA><NA>전라북도 군산시청063-454-3812<NA><NA>Y2023-11-284671000전북특별자치도 군산시
4537194-2-000089명덕 주차장공영노외<NA>울산광역시 동구 서부동 2381871미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.000.000.000.0<NA><NA>울산광역시 동구청052-209-372235.523256129.425535<NA>2023-12-086310000울산광역시
14627156-1-000079와룡로45길인근공영노상대구광역시 달서구 와룡로49길 55대구광역시 달서구 죽전동 402-1732미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료1440.0<NA><NA>NaN<NA><NA>NaN<NA><NA>대구광역시 달서구청053-667-309235.854262128.534145<NA>2023-11-303470000대구광역시 달서구
8140354-2-000210낙동강둔치주차장-옥야동공영노외<NA>경상북도 안동시 옥야동 4244462미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.00<NA>NaN<NA><NA>NaN<NA><NA>경상북도 안동시청054-840-542436.557662128.721327<NA>2023-12-065070000경상북도 안동시
9992324-2-000045양을산 공영공영노외<NA>전라남도 목포시 용해동 338-2403미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.00<NA>NaN<NA><NA>NaN<NA><NA>전라남도 목포시청<NA><NA><NA><NA>2023-06-304800000전라남도 목포시
15678222-1-000015별내면 노상제6공영노상<NA>경기도 남양주시 별내면 청학리 358-10151미시행평일+토요일00:0000:0000:0000:0000:0000:00무료0.000.000.000.0<NA><NA>경기도 남양주도시공사 주차운영팀031-560-121237.711064127.113521N2023-11-293990000경기도 남양주시
392220-1-000024우면산간도로잔여지공영노상경기도 과천시 용마2로 2경기도 과천시 과천동 94-42961미시행평일+토요일+공휴일09:0019:0009:0019:0009:0019:00유료10.0010.050010.010000NaN현금+신용카드<NA>과천도시공사02-500-114537.447163126.992776<NA>2023-12-043970000경기도 과천시
9783406-2-000077자산오차드힐 인근 북측 공영주차장공영노외<NA>제주특별자치도 서귀포시 서홍동 1597-491미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.00<NA>NaN<NA><NA>NaN<NA><NA>제주특별자치도 서귀포시청064-760-297233.261563126.554694<NA>2023-11-306520000제주특별자치도 서귀포시
2146228-3-000035역삼동공영부설경기도 용인시 처인구 명지로 16경기도 용인시 처인구 역북동 744501미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.000.000.000.0<NA><NA>경기도 용인시 역삼동031-324-592237.23456127.188148Y2023-11-274050000경기도 용인시
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도장애인전용주차구역보유여부데이터기준일자제공기관코드제공기관명
4595194-1-000010옥류로공영주차장공영노상<NA>울산광역시 동구 서부동 919-1611미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료30.050010.020010.0100000.0현금월~금(09:00~18:00) 유료울산광역시 동구청052-209-372235.540745129.426289Y2024-01-253710000울산광역시 동구
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29391-2-000027동삼층석탑 주차장공영노외<NA>경상남도 창녕군 창녕읍 술정리 99471미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.0<NA><NA>NaN<NA><NA>NaN<NA><NA>경상남도 창녕군청055-530-172435.539525128.49498<NA>2023-12-065410000경상남도 창녕군
4053111-2-000001구파발역공영노외서울특별시 은평구 진관동 66-30서울특별시 은평구 진관동 66-303991미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료5.0170<NA>NaN<NA><NA>NaN<NA><NA>서울시설공단02-2290-608837.637971126.917096<NA>2021-07-30B553774서울시설공단
506335-2-000010자활센터 뒤편공영노외전라남도 장흥군 장흥읍 장흥대로 3482전라남도 장흥군 장흥읍 건산리 771-2271미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.00<NA>NaN<NA><NA>NaN<NA><NA>전라남도 장흥군061-860-620334.674278126.905618Y2023-12-064910000전라남도 장흥군
11184418-2-000001석동 복합공영주차빌딩공영노외경상남도 창원시 진해구 냉천로 73 (석동 140)<NA>1411미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59유료30.0<NA><NA>NaN<NA><NA>NaN<NA><NA>한국자산관리공사051-794-4296<NA><NA><NA>2023-06-305670000경상남도 창원시
6054154-1-000175팔달북로7길인근공영노상대구광역시 북구 팔달로 105대구광역시 북구 노원동3가 252-3413미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.00<NA>NaN<NA><NA>NaN<NA><NA>대구광역시 북구청053-665-301235.889831128.561074<NA>2024-01-313450000대구광역시 북구
8924318-2-000014모양성 서문 앞공영노외전라북도 고창군 고창읍 동리로 117전라북도 고창군 고창읍 읍내리 434-4171미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.00<NA>NaN<NA><NA>NaN<NA><NA>전라북도 고창군청063-560-257135.432916126.705248<NA>2023-08-084781000전북특별자치도 고창군
7443345-3-000073신안군관광협의회 팔금면지회공영부설<NA>전라남도 신안군 팔금면 읍리 411-1번지102미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.00<NA>NaN<NA><NA>NaN<NA><NA>전라남도 신안군청<NA><NA><NA>Y2023-11-245010000전라남도 신안군
16542233-2-000049비봉(비봉고앞)공영노외<NA>경기도 화성시 비봉면 구포리1012682미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료0.000.00.0<NA><NA>NaN<NA><NA>경기도 화성시 교통지도과031-5189-313037.237601126.874152<NA>2023-11-165530000경기도 화성시

Duplicate rows

Most frequently occurring

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간1일주차권요금적용시간1일주차권요금결제방법특기사항관리기관명전화번호위도경도장애인전용주차구역보유여부데이터기준일자제공기관명# duplicates
0317-2-000001양지천변 주차장공영노외전라북도 순창군 순창읍 양지길 123전라북도 순창군 순창읍 남계리 964701미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.378084127.145334<NA>2022-06-15전라북도 순창군3
9317-2-000006해솔앞 주차장공영노외전라북도 순창군 순창읍 순창7길 14전라북도 순창군 순창읍 순화리 184101미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.374466127.141379<NA>2022-06-15전라북도 순창군3
14317-2-000009구.경찰서장관사 주차장공영노외전라북도 순창군 순창읍 순창6길 19-2전라북도 순창군 순창읍 남계리 436241미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.372811127.144608<NA>2022-06-15전북특별자치도 순창군3
17317-2-000011군청앞경천 주차장공영노외전라북도 순창군 순창읍 경천로 33전라북도 순창군 순창읍 순화리 338441미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.374456127.137369<NA>2022-06-15전라북도 순창군3
18317-2-000011군청앞경천 주차장공영노외전라북도 순창군 순창읍 경천로 33전라북도 순창군 순창읍 순화리 338441미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.374456127.137369<NA>2022-06-15전북특별자치도 순창군3
24317-2-000015창림문화누리마을1 주차장공영노외전라북도 순창군 순창읍 순창9길 12-2전라북도 순창군 순창읍 순화리 161-461미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.375226127.141913<NA>2022-06-15전북특별자치도 순창군3
25317-2-000016창림문화누리마을2 주차장공영노외전라북도 순창군 순창읍 순창로 225-14전라북도 순창군 순창읍 남계리 217-1361미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.375315127.142913<NA>2022-06-15전라북도 순창군3
28317-2-000017신성당앞 주차장공영노외전라북도 순창군 순창읍 순창4길 13-20전라북도 순창군 순창읍 남계리 429181미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.372375127.144012<NA>2022-06-15전북특별자치도 순창군3
29317-2-000018군립도서관앞 주차장공영노외전라북도 순창군 순창읍 순창5길 17-2전라북도 순창군 순창읍 남계리 632131미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.373136127.140528<NA>2022-06-15전라북도 순창군3
32317-2-000019금과들소리전수관앞 주차장공영노외전라북도 순창군 금과면 방대로 655-17전라북도 순창군 금과면 매우리 479-1191미시행평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료60.0<NA><NA><NA><NA><NA><NA>전라북도 순창군청063-650-132835.335421127.087882<NA>2022-06-15전북특별자치도 순창군3