Overview

Dataset statistics

Number of variables44
Number of observations7306
Missing cells141751
Missing cells (%)44.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory377.0 B

Variable types

Numeric17
Text4
Categorical17
DateTime1
Boolean4
Unsupported1

Dataset

Description주차장코드,주차장명,주소,주차장 종류,주차장 종류명,운영구분,운영구분명,전화번호,주차현황 정보 제공여부,주차현황 정보 제공여부명,총 주자면,현재 주차 차량수,현재 주차 차량수 업데이트시간,유무료구분,유무료구분명,야간무료개방여부,야간무료개방여부명,평일 운영 시작시각(HHMM),평일 운영 종료시각(HHMM),주말 운영 시작시각(HHMM),주말 운영 종료시각(HHMM),공휴일 운영 시작시각(HHMM),공휴일 운영 종료시각(HHMM),토요일 유,무료 구분,토요일 유,무료 구분명,공휴일 유,무료 구분,공휴일 유,무료 구분명,월 정기권 금액,노상 주차장 관리그룹번호,기본 주차 요금,기본 주차 시간(분 단위),추가 단위 요금,추가 단위 시간(분 단위),버스 기본 주차 요금,버스 기본 주차 시간(분 단위),버스 추가 단위 요금,버스 추가 단위 시간(분 단위),일 최대 요금,주차장 위치 좌표 위도,주차장 위치 좌표 경도,공유 주차장 관리업체명,공유 주차장 여부,공유 주차장 관리업체 링크,공유 주차장 기타사항
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21709/S/1/datasetView.do

Alerts

야간무료개방여부 has constant value ""Constant
공유 주차장 관리업체명 has constant value ""Constant
공유 주차장 관리업체 링크 has constant value ""Constant
전화번호 has a high cardinality: 51 distinct valuesHigh cardinality
운영구분 is highly imbalanced (54.8%)Imbalance
운영구분명 is highly imbalanced (53.0%)Imbalance
전화번호 is highly imbalanced (87.2%)Imbalance
추가 단위 시간(분 단위) is highly imbalanced (61.1%)Imbalance
버스 기본 주차 요금 is highly imbalanced (64.0%)Imbalance
버스 기본 주차 시간(분 단위) is highly imbalanced (58.3%)Imbalance
버스 추가 단위 요금 is highly imbalanced (58.4%)Imbalance
공유 주차장 여부 is highly imbalanced (54.1%)Imbalance
주차장코드 has 5382 (73.7%) missing valuesMissing
주차장명 has 5382 (73.7%) missing valuesMissing
주소 has 5382 (73.7%) missing valuesMissing
총 주자면 has 5382 (73.7%) missing valuesMissing
현재 주차 차량수 has 5382 (73.7%) missing valuesMissing
현재 주차 차량수 업데이트시간 has 5797 (79.3%) missing valuesMissing
유무료구분 has 5382 (73.7%) missing valuesMissing
야간무료개방여부 has 5382 (73.7%) missing valuesMissing
평일 운영 시작시각(HHMM) has 5382 (73.7%) missing valuesMissing
평일 운영 종료시각(HHMM) has 5382 (73.7%) missing valuesMissing
주말 운영 시작시각(HHMM) has 5382 (73.7%) missing valuesMissing
주말 운영 종료시각(HHMM) has 5382 (73.7%) missing valuesMissing
공휴일 운영 시작시각(HHMM) has 5382 (73.7%) missing valuesMissing
공휴일 운영 종료시각(HHMM) has 5382 (73.7%) missing valuesMissing
토요일 유,무료 구분 has 5382 (73.7%) missing valuesMissing
공휴일 유,무료 구분 has 5382 (73.7%) missing valuesMissing
월 정기권 금액 has 5840 (79.9%) missing valuesMissing
노상 주차장 관리그룹번호 has 5453 (74.6%) missing valuesMissing
기본 주차 요금 has 5392 (73.8%) missing valuesMissing
기본 주차 시간(분 단위) has 5392 (73.8%) missing valuesMissing
추가 단위 요금 has 5394 (73.8%) missing valuesMissing
일 최대 요금 has 5837 (79.9%) missing valuesMissing
공유 주차장 관리업체명 has 7305 (> 99.9%) missing valuesMissing
공유 주차장 관리업체 링크 has 7305 (> 99.9%) missing valuesMissing
공유 주차장 기타사항 has 7306 (100.0%) missing valuesMissing
현재 주차 차량수 is highly skewed (γ1 = 24.93793926)Skewed
기본 주차 시간(분 단위) is highly skewed (γ1 = 36.98124303)Skewed
공유 주차장 기타사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported
현재 주차 차량수 has 453 (6.2%) zerosZeros
평일 운영 시작시각(HHMM) has 386 (5.3%) zerosZeros
평일 운영 종료시각(HHMM) has 321 (4.4%) zerosZeros
주말 운영 시작시각(HHMM) has 490 (6.7%) zerosZeros
주말 운영 종료시각(HHMM) has 425 (5.8%) zerosZeros
공휴일 운영 시작시각(HHMM) has 1680 (23.0%) zerosZeros
공휴일 운영 종료시각(HHMM) has 1602 (21.9%) zerosZeros
월 정기권 금액 has 1318 (18.0%) zerosZeros
기본 주차 요금 has 317 (4.3%) zerosZeros
기본 주차 시간(분 단위) has 317 (4.3%) zerosZeros
추가 단위 요금 has 317 (4.3%) zerosZeros
일 최대 요금 has 1412 (19.3%) zerosZeros

Reproduction

Analysis started2024-05-18 00:56:56.123214
Analysis finished2024-05-18 00:56:57.898861
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장코드
Real number (ℝ)

MISSING 

Distinct170
Distinct (%)8.8%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean1508356.3
Minimum171721
Maximum3246676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:56:58.096880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171721
5-th percentile1167546
Q11451370
median1510016
Q31566861
95-th percentile1914910.6
Maximum3246676
Range3074955
Interquartile range (IQR)115491

Descriptive statistics

Standard deviation305998.99
Coefficient of variation (CV)0.20286916
Kurtosis15.057819
Mean1508356.3
Median Absolute Deviation (MAD)57997
Skewness1.6065545
Sum2.9020776 × 109
Variance9.3635382 × 1010
MonotonicityIncreasing
2024-05-18T09:56:58.544243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1367804 88
 
1.2%
1561603 84
 
1.1%
1540689 72
 
1.0%
1163833 62
 
0.8%
1504809 59
 
0.8%
1566861 53
 
0.7%
1915194 48
 
0.7%
1576347 47
 
0.6%
1477337 47
 
0.6%
1576208 41
 
0.6%
Other values (160) 1323
 
18.1%
(Missing) 5382
73.7%
ValueCountFrequency (%)
171721 1
< 0.1%
171730 1
< 0.1%
171900 1
< 0.1%
172051 1
< 0.1%
172065 1
< 0.1%
172382 1
< 0.1%
172605 1
< 0.1%
172844 1
< 0.1%
172935 1
< 0.1%
172937 1
< 0.1%
ValueCountFrequency (%)
3246676 1
 
< 0.1%
3246229 1
 
< 0.1%
3210880 1
 
< 0.1%
3204489 1
 
< 0.1%
3204473 1
 
< 0.1%
3187200 1
 
< 0.1%
3077801 1
 
< 0.1%
3068926 1
 
< 0.1%
3039787 1
 
< 0.1%
2983079 31
0.4%

주차장명
Text

MISSING 

Distinct170
Distinct (%)8.8%
Missing5382
Missing (%)73.7%
Memory size57.2 KiB
2024-05-18T09:56:59.215898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length15.588358
Min length8

Characters and Unicode

Total characters29992
Distinct characters202
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)3.7%

Sample

1st row세종로 공영주차장(시)
2nd row종묘주차장 공영주차장(시)
3rd row훈련원공원 공영주차장(시)
4th row한강진역 공영주차장(시)
5th row용산주차빌딩 공영주차장(시)
ValueCountFrequency (%)
공영주차장(시 1553
34.9%
주차장(시 187
 
4.2%
관광버스 136
 
3.1%
구간(시 133
 
3.0%
주차허용 120
 
2.7%
이륜차 114
 
2.6%
을지로 88
 
2.0%
여의서로 84
 
1.9%
관광버스전용 77
 
1.7%
청계8가(남 72
 
1.6%
Other values (186) 1883
42.3%
2024-05-18T09:57:00.434406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2524
 
8.4%
( 2467
 
8.2%
) 2467
 
8.2%
시 2037
 
6.8%
차 2036
 
6.8%
장 1919
 
6.4%
주 1909
 
6.4%
공 1678
 
5.6%
영 1637
 
5.5%
로 614
 
2.0%
Other values (192) 10704
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21595
72.0%
Space Separator 2524
 
8.4%
Open Punctuation 2467
 
8.2%
Close Punctuation 2467
 
8.2%
Decimal Number 813
 
2.7%
Uppercase Letter 84
 
0.3%
Connector Punctuation 41
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2037
 
9.4%
차 2036
 
9.4%
장 1919
 
8.9%
주 1909
 
8.8%
공 1678
 
7.8%
영 1637
 
7.6%
로 614
 
2.8%
청 449
 
2.1%
계 447
 
2.1%
남 420
 
1.9%
Other values (174) 8449
39.1%
Decimal Number
ValueCountFrequency (%)
1 170
20.9%
3 154
18.9%
8 122
15.0%
2 122
15.0%
5 120
14.8%
6 84
10.3%
7 39
 
4.8%
9 1
 
0.1%
4 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
D 52
61.9%
P 28
33.3%
A 2
 
2.4%
M 2
 
2.4%
Space Separator
ValueCountFrequency (%)
2524
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2467
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21595
72.0%
Common 8313
 
27.7%
Latin 84
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2037
 
9.4%
차 2036
 
9.4%
장 1919
 
8.9%
주 1909
 
8.8%
공 1678
 
7.8%
영 1637
 
7.6%
로 614
 
2.8%
청 449
 
2.1%
계 447
 
2.1%
남 420
 
1.9%
Other values (174) 8449
39.1%
Common
ValueCountFrequency (%)
2524
30.4%
( 2467
29.7%
) 2467
29.7%
1 170
 
2.0%
3 154
 
1.9%
8 122
 
1.5%
2 122
 
1.5%
5 120
 
1.4%
6 84
 
1.0%
_ 41
 
0.5%
Other values (4) 42
 
0.5%
Latin
ValueCountFrequency (%)
D 52
61.9%
P 28
33.3%
A 2
 
2.4%
M 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21595
72.0%
ASCII 8397
 
28.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2524
30.1%
( 2467
29.4%
) 2467
29.4%
1 170
 
2.0%
3 154
 
1.8%
8 122
 
1.5%
2 122
 
1.5%
5 120
 
1.4%
6 84
 
1.0%
D 52
 
0.6%
Other values (8) 115
 
1.4%
Hangul
ValueCountFrequency (%)
시 2037
 
9.4%
차 2036
 
9.4%
장 1919
 
8.9%
주 1909
 
8.8%
공 1678
 
7.8%
영 1637
 
7.6%
로 614
 
2.8%
청 449
 
2.1%
계 447
 
2.1%
남 420
 
1.9%
Other values (174) 8449
39.1%

주소
Text

MISSING 

Distinct157
Distinct (%)8.2%
Missing5382
Missing (%)73.7%
Memory size57.2 KiB
2024-05-18T09:57:01.146608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length41
Mean length14.759875
Min length10

Characters and Unicode

Total characters28398
Distinct characters168
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)3.6%

Sample

1st row종로구 세종로 80-1
2nd row종로구 훈정동 2-0
3rd row중구 을지로5가 40-3
4th row용산구 한남동 728-27
5th row용산구 한강로2가 12-9
ValueCountFrequency (%)
중구 629
 
9.7%
종로구 276
 
4.3%
영등포구 236
 
3.7%
0 211
 
3.3%
여의도동 145
 
2.2%
을지로3가 135
 
2.1%
구로구 110
 
1.7%
성동구 105
 
1.6%
강남구 100
 
1.5%
앞 98
 
1.5%
Other values (313) 4410
68.3%
2024-05-18T09:57:02.578567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4562
 
16.1%
구 2126
 
7.5%
- 1935
 
6.8%
1 1895
 
6.7%
동 1886
 
6.6%
2 993
 
3.5%
4 878
 
3.1%
로 838
 
3.0%
3 772
 
2.7%
0 763
 
2.7%
Other values (158) 11750
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13254
46.7%
Decimal Number 8284
29.2%
Space Separator 4562
 
16.1%
Dash Punctuation 1935
 
6.8%
Open Punctuation 121
 
0.4%
Close Punctuation 119
 
0.4%
Math Symbol 90
 
0.3%
Lowercase Letter 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2126
 
16.0%
동 1886
 
14.2%
로 838
 
6.3%
중 665
 
5.0%
가 561
 
4.2%
종 338
 
2.6%
포 301
 
2.3%
남 277
 
2.1%
등 256
 
1.9%
지 250
 
1.9%
Other values (142) 5756
43.4%
Decimal Number
ValueCountFrequency (%)
1 1895
22.9%
2 993
12.0%
4 878
10.6%
3 772
9.3%
0 763
9.2%
6 701
 
8.5%
8 653
 
7.9%
5 609
 
7.4%
7 531
 
6.4%
9 489
 
5.9%
Space Separator
ValueCountFrequency (%)
4562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1935
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Math Symbol
ValueCountFrequency (%)
~ 90
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15111
53.2%
Hangul 13254
46.7%
Latin 33
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2126
 
16.0%
동 1886
 
14.2%
로 838
 
6.3%
중 665
 
5.0%
가 561
 
4.2%
종 338
 
2.6%
포 301
 
2.3%
남 277
 
2.1%
등 256
 
1.9%
지 250
 
1.9%
Other values (142) 5756
43.4%
Common
ValueCountFrequency (%)
4562
30.2%
- 1935
12.8%
1 1895
12.5%
2 993
 
6.6%
4 878
 
5.8%
3 772
 
5.1%
0 763
 
5.0%
6 701
 
4.6%
8 653
 
4.3%
5 609
 
4.0%
Other values (5) 1350
 
8.9%
Latin
ValueCountFrequency (%)
m 33
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15144
53.3%
Hangul 13254
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4562
30.1%
- 1935
12.8%
1 1895
12.5%
2 993
 
6.6%
4 878
 
5.8%
3 772
 
5.1%
0 763
 
5.0%
6 701
 
4.6%
8 653
 
4.3%
5 609
 
4.0%
Other values (6) 1383
 
9.1%
Hangul
ValueCountFrequency (%)
구 2126
 
16.0%
동 1886
 
14.2%
로 838
 
6.3%
중 665
 
5.0%
가 561
 
4.2%
종 338
 
2.6%
포 301
 
2.3%
남 277
 
2.1%
등 256
 
1.9%
지 250
 
1.9%
Other values (142) 5756
43.4%

주차장 종류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
NS
1853 
NW
 
71

Length

Max length4
Median length4
Mean length3.4733096
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
NS 1853
 
25.4%
NW 71
 
1.0%

Length

2024-05-18T09:57:03.144262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:03.580112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
73.7%
ns 1853
 
25.4%
nw 71
 
1.0%

주차장 종류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
노상 주차장
1853 
노외 주차장
 
71

Length

Max length6
Median length4
Mean length4.5266904
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
노상 주차장 1853
 
25.4%
노외 주차장 71
 
1.0%

Length

2024-05-18T09:57:03.997453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:04.452545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
58.3%
주차장 1924
 
20.8%
노상 1853
 
20.1%
노외 71
 
0.8%

운영구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
1
1594 
4
 
214
6
 
114
5
 
2

Length

Max length4
Median length4
Mean length3.2099644
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
1 1594
 
21.8%
4 214
 
2.9%
6 114
 
1.6%
5 2
 
< 0.1%

Length

2024-05-18T09:57:04.960851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:05.476249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
73.7%
1 1594
 
21.8%
4 214
 
2.9%
6 114
 
1.6%
5 2
 
< 0.1%

운영구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
이륜차 전용 주차장
5496 
시간제 주차장
1594 
버스전용 주차장
 
214
시간제 + 버스전용 주차장
 
2

Length

Max length14
Median length10
Mean length9.2879825
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시간제 주차장
2nd row시간제 주차장
3rd row시간제 주차장
4th row시간제 주차장
5th row시간제 주차장

Common Values

ValueCountFrequency (%)
이륜차 전용 주차장 5496
75.2%
시간제 주차장 1594
 
21.8%
버스전용 주차장 214
 
2.9%
시간제 + 버스전용 주차장 2
 
< 0.1%

Length

2024-05-18T09:57:06.131477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:06.624450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차장 7306
36.3%
이륜차 5496
27.3%
전용 5496
27.3%
시간제 1596
 
7.9%
버스전용 216
 
1.1%
2
 
< 0.1%

전화번호
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct51
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
6619 
02-2274-2009
 
291
02)3396-6262
 
114
02)2133-2357
 
75
02-2290-6449
 
71
Other values (46)
 
136

Length

Max length13
Median length4
Mean length4.7496578
Min length4

Unique

Unique37 ?
Unique (%)0.5%

Sample

1st row02-2290-6566
2nd row02-2290-6166
3rd row02-3405-4597
4th row02-795-6406
5th row02-2290-6014

Common Values

ValueCountFrequency (%)
<NA> 6619
90.6%
02-2274-2009 291
 
4.0%
02)3396-6262 114
 
1.6%
02)2133-2357 75
 
1.0%
02-2290-6449 71
 
1.0%
02-2133-2357 40
 
0.5%
02-2265-3531 20
 
0.3%
02-2273-0006 14
 
0.2%
02-738-0909 7
 
0.1%
02)2290-6449 7
 
0.1%
Other values (41) 48
 
0.7%

Length

2024-05-18T09:57:07.115001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6619
90.6%
02-2274-2009 291
 
4.0%
02)3396-6262 114
 
1.6%
02)2133-2357 75
 
1.0%
02-2290-6449 71
 
1.0%
02-2133-2357 40
 
0.5%
02-2265-3531 20
 
0.3%
02-2273-0006 14
 
0.2%
02-738-0909 7
 
0.1%
02)2290-6449 7
 
0.1%
Other values (41) 48
 
0.7%

주차현황 정보 제공여부
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
1
1473 
0
 
451

Length

Max length4
Median length4
Mean length3.2099644
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
1 1473
 
20.2%
0 451
 
6.2%

Length

2024-05-18T09:57:07.625147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:08.109881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
73.7%
1 1473
 
20.2%
0 451
 
6.2%

주차현황 정보 제공여부명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
미연계중
5833 
현재~20분이내 연계데이터 존재(현재 주차대수 표현)
1473 

Length

Max length29
Median length4
Mean length9.0403778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row현재~20분이내 연계데이터 존재(현재 주차대수 표현)
2nd row현재~20분이내 연계데이터 존재(현재 주차대수 표현)
3rd row현재~20분이내 연계데이터 존재(현재 주차대수 표현)
4th row현재~20분이내 연계데이터 존재(현재 주차대수 표현)
5th row현재~20분이내 연계데이터 존재(현재 주차대수 표현)

Common Values

ValueCountFrequency (%)
미연계중 5833
79.8%
현재~20분이내 연계데이터 존재(현재 주차대수 표현) 1473
 
20.2%

Length

2024-05-18T09:57:08.698157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:09.156482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미연계중 5833
44.2%
현재~20분이내 1473
 
11.2%
연계데이터 1473
 
11.2%
존재(현재 1473
 
11.2%
주차대수 1473
 
11.2%
표현 1473
 
11.2%

총 주자면
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)3.4%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean9.7068607
Minimum1
Maximum1431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:09.745489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1431
Range1430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation77.755817
Coefficient of variation (CV)8.0103979
Kurtosis194.76167
Mean9.7068607
Median Absolute Deviation (MAD)0
Skewness13.100595
Sum18676
Variance6045.9671
MonotonicityNot monotonic
2024-05-18T09:57:10.243302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1853
 
25.4%
71 3
 
< 0.1%
79 2
 
< 0.1%
13 2
 
< 0.1%
44 2
 
< 0.1%
97 2
 
< 0.1%
11 2
 
< 0.1%
503 1
 
< 0.1%
38 1
 
< 0.1%
107 1
 
< 0.1%
Other values (55) 55
 
0.8%
(Missing) 5382
73.7%
ValueCountFrequency (%)
1 1853
25.4%
10 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
13 2
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
24 1
 
< 0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
1431 1
< 0.1%
1317 1
< 0.1%
1260 1
< 0.1%
1181 1
< 0.1%
1092 1
< 0.1%
873 1
< 0.1%
575 1
< 0.1%
570 1
< 0.1%
567 1
< 0.1%
561 1
< 0.1%

현재 주차 차량수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)3.6%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean16.995842
Minimum0
Maximum2060
Zeros453
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:10.875991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q321
95-th percentile42
Maximum2060
Range2060
Interquartile range (IQR)19

Descriptive statistics

Standard deviation59.061132
Coefficient of variation (CV)3.4750342
Kurtosis783.40336
Mean16.995842
Median Absolute Deviation (MAD)9
Skewness24.937939
Sum32700
Variance3488.2174
MonotonicityNot monotonic
2024-05-18T09:57:11.635281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 453
 
6.2%
9 183
 
2.5%
18 91
 
1.2%
37 88
 
1.2%
8 86
 
1.2%
42 84
 
1.1%
29 72
 
1.0%
11 72
 
1.0%
12 69
 
0.9%
3 66
 
0.9%
Other values (59) 660
 
9.0%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 453
6.2%
1 5
 
0.1%
2 45
 
0.6%
3 66
 
0.9%
4 62
 
0.8%
5 36
 
0.5%
6 27
 
0.4%
7 43
 
0.6%
8 86
 
1.2%
9 183
2.5%
ValueCountFrequency (%)
2060 1
< 0.1%
819 1
< 0.1%
702 1
< 0.1%
681 1
< 0.1%
553 1
< 0.1%
290 1
< 0.1%
225 1
< 0.1%
203 1
< 0.1%
163 1
< 0.1%
158 1
< 0.1%

현재 주차 차량수 업데이트시간
Date

MISSING 

Distinct20
Distinct (%)1.3%
Missing5797
Missing (%)79.3%
Memory size57.2 KiB
Minimum2024-01-12 18:14:07
Maximum2024-05-18 09:51:41
2024-05-18T09:57:12.220260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:57:13.051089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

유무료구분
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing5382
Missing (%)73.7%
Memory size14.4 KiB
True
1597 
False
 
327
(Missing)
5382 
ValueCountFrequency (%)
True 1597
 
21.9%
False 327
 
4.5%
(Missing) 5382
73.7%
2024-05-18T09:57:13.550245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유무료구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
유료
1597 
무료
 
327

Length

Max length4
Median length4
Mean length3.4733096
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
유료 1597
 
21.9%
무료 327
 
4.5%

Length

2024-05-18T09:57:14.275470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:14.868566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
73.7%
유료 1597
 
21.9%
무료 327
 
4.5%

야간무료개방여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing5382
Missing (%)73.7%
Memory size14.4 KiB
False
1924 
(Missing)
5382 
ValueCountFrequency (%)
False 1924
 
26.3%
(Missing) 5382
73.7%
2024-05-18T09:57:15.363481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

야간무료개방여부명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
야간 미개방
1924 

Length

Max length6
Median length4
Mean length4.5266904
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간 미개방
2nd row야간 미개방
3rd row야간 미개방
4th row야간 미개방
5th row야간 미개방

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
야간 미개방 1924
 
26.3%

Length

2024-05-18T09:57:15.789531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:16.180195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
58.3%
야간 1924
 
20.8%
미개방 1924
 
20.8%

평일 운영 시작시각(HHMM)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.4%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean726.92308
Minimum0
Maximum1300
Zeros386
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:16.598677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1900
median900
Q3900
95-th percentile900
Maximum1300
Range1300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation370.15926
Coefficient of variation (CV)0.5092138
Kurtosis0.16769526
Mean726.92308
Median Absolute Deviation (MAD)0
Skewness-1.3535136
Sum1398600
Variance137017.88
MonotonicityNot monotonic
2024-05-18T09:57:16.930336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
900 1458
 
20.0%
0 386
 
5.3%
1300 47
 
0.6%
800 27
 
0.4%
500 3
 
< 0.1%
600 2
 
< 0.1%
1000 1
 
< 0.1%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 386
 
5.3%
500 3
 
< 0.1%
600 2
 
< 0.1%
800 27
 
0.4%
900 1458
20.0%
1000 1
 
< 0.1%
1300 47
 
0.6%
ValueCountFrequency (%)
1300 47
 
0.6%
1000 1
 
< 0.1%
900 1458
20.0%
800 27
 
0.4%
600 2
 
< 0.1%
500 3
 
< 0.1%
0 386
 
5.3%

평일 운영 종료시각(HHMM)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.4%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean1544.7505
Minimum0
Maximum2400
Zeros321
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:17.357163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11800
median1900
Q31900
95-th percentile2200
Maximum2400
Range2400
Interquartile range (IQR)100

Descriptive statistics

Standard deviation790.90546
Coefficient of variation (CV)0.5119956
Kurtosis0.00026863022
Mean1544.7505
Median Absolute Deviation (MAD)0
Skewness-1.3493553
Sum2972100
Variance625531.45
MonotonicityNot monotonic
2024-05-18T09:57:17.734710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1900 1128
 
15.4%
0 321
 
4.4%
1800 133
 
1.8%
2200 113
 
1.5%
100 79
 
1.1%
2400 67
 
0.9%
2100 62
 
0.8%
2000 21
 
0.3%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 321
 
4.4%
100 79
 
1.1%
1800 133
 
1.8%
1900 1128
15.4%
2000 21
 
0.3%
2100 62
 
0.8%
2200 113
 
1.5%
2400 67
 
0.9%
ValueCountFrequency (%)
2400 67
 
0.9%
2200 113
 
1.5%
2100 62
 
0.8%
2000 21
 
0.3%
1900 1128
15.4%
1800 133
 
1.8%
100 79
 
1.1%
0 321
 
4.4%

주말 운영 시작시각(HHMM)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.4%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean679.26195
Minimum0
Maximum1300
Zeros490
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:18.184036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median900
Q3900
95-th percentile900
Maximum1300
Range1300
Interquartile range (IQR)900

Descriptive statistics

Standard deviation402.4254
Coefficient of variation (CV)0.59244508
Kurtosis-0.72593504
Mean679.26195
Median Absolute Deviation (MAD)0
Skewness-1.0186821
Sum1306900
Variance161946.2
MonotonicityNot monotonic
2024-05-18T09:57:18.799497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
900 1373
 
18.8%
0 490
 
6.7%
1300 47
 
0.6%
800 8
 
0.1%
500 3
 
< 0.1%
600 2
 
< 0.1%
1000 1
 
< 0.1%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 490
 
6.7%
500 3
 
< 0.1%
600 2
 
< 0.1%
800 8
 
0.1%
900 1373
18.8%
1000 1
 
< 0.1%
1300 47
 
0.6%
ValueCountFrequency (%)
1300 47
 
0.6%
1000 1
 
< 0.1%
900 1373
18.8%
800 8
 
0.1%
600 2
 
< 0.1%
500 3
 
< 0.1%
0 490
 
6.7%

주말 운영 종료시각(HHMM)
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.6%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean1272.0894
Minimum0
Maximum2400
Zeros425
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:19.279597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11500
median1500
Q31500
95-th percentile2200
Maximum2400
Range2400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation722.72783
Coefficient of variation (CV)0.56814233
Kurtosis-0.41735927
Mean1272.0894
Median Absolute Deviation (MAD)0
Skewness-0.86587579
Sum2447500
Variance522335.52
MonotonicityNot monotonic
2024-05-18T09:57:19.804601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1500 1164
 
15.9%
0 425
 
5.8%
2200 106
 
1.5%
2100 81
 
1.1%
2400 67
 
0.9%
1700 38
 
0.5%
1900 31
 
0.4%
1400 7
 
0.1%
100 3
 
< 0.1%
2000 1
 
< 0.1%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 425
 
5.8%
100 3
 
< 0.1%
1400 7
 
0.1%
1500 1164
15.9%
1700 38
 
0.5%
1800 1
 
< 0.1%
1900 31
 
0.4%
2000 1
 
< 0.1%
2100 81
 
1.1%
2200 106
 
1.5%
ValueCountFrequency (%)
2400 67
 
0.9%
2200 106
 
1.5%
2100 81
 
1.1%
2000 1
 
< 0.1%
1900 31
 
0.4%
1800 1
 
< 0.1%
1700 38
 
0.5%
1500 1164
15.9%
1400 7
 
0.1%
100 3
 
< 0.1%

공휴일 운영 시작시각(HHMM)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.4%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean122.60915
Minimum0
Maximum1300
Zeros1680
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:20.254181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile900
Maximum1300
Range1300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation327.55774
Coefficient of variation (CV)2.6715604
Kurtosis4.2443519
Mean122.60915
Median Absolute Deviation (MAD)0
Skewness2.4162567
Sum235900
Variance107294.07
MonotonicityNot monotonic
2024-05-18T09:57:20.668525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1680
 
23.0%
900 183
 
2.5%
1300 47
 
0.6%
800 8
 
0.1%
500 3
 
< 0.1%
600 2
 
< 0.1%
1000 1
 
< 0.1%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 1680
23.0%
500 3
 
< 0.1%
600 2
 
< 0.1%
800 8
 
0.1%
900 183
 
2.5%
1000 1
 
< 0.1%
1300 47
 
0.6%
ValueCountFrequency (%)
1300 47
 
0.6%
1000 1
 
< 0.1%
900 183
 
2.5%
800 8
 
0.1%
600 2
 
< 0.1%
500 3
 
< 0.1%
0 1680
23.0%

공휴일 운영 종료시각(HHMM)
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.5%
Missing5382
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean356.96466
Minimum0
Maximum2400
Zeros1602
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:21.080641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2200
Maximum2400
Range2400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation805.0467
Coefficient of variation (CV)2.2552561
Kurtosis1.4584985
Mean356.96466
Median Absolute Deviation (MAD)0
Skewness1.8412143
Sum686800
Variance648100.19
MonotonicityNot monotonic
2024-05-18T09:57:21.616415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1602
 
21.9%
2200 106
 
1.5%
2100 81
 
1.1%
2400 80
 
1.1%
1700 38
 
0.5%
1900 12
 
0.2%
100 3
 
< 0.1%
2000 1
 
< 0.1%
1800 1
 
< 0.1%
(Missing) 5382
73.7%
ValueCountFrequency (%)
0 1602
21.9%
100 3
 
< 0.1%
1700 38
 
0.5%
1800 1
 
< 0.1%
1900 12
 
0.2%
2000 1
 
< 0.1%
2100 81
 
1.1%
2200 106
 
1.5%
2400 80
 
1.1%
ValueCountFrequency (%)
2400 80
 
1.1%
2200 106
 
1.5%
2100 81
 
1.1%
2000 1
 
< 0.1%
1900 12
 
0.2%
1800 1
 
< 0.1%
1700 38
 
0.5%
100 3
 
< 0.1%
0 1602
21.9%

토요일 유,무료 구분
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing5382
Missing (%)73.7%
Memory size14.4 KiB
False
1499 
True
 
425
(Missing)
5382 
ValueCountFrequency (%)
False 1499
 
20.5%
True 425
 
5.8%
(Missing) 5382
73.7%
2024-05-18T09:57:22.080143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

토요일 유,무료 구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
무료
1499 
유료
 
425

Length

Max length4
Median length4
Mean length3.4733096
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
무료 1499
 
20.5%
유료 425
 
5.8%

Length

2024-05-18T09:57:22.463490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:22.845430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
73.7%
무료 1499
 
20.5%
유료 425
 
5.8%

공휴일 유,무료 구분
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing5382
Missing (%)73.7%
Memory size14.4 KiB
True
1602 
False
 
322
(Missing)
5382 
ValueCountFrequency (%)
True 1602
 
21.9%
False 322
 
4.4%
(Missing) 5382
73.7%
2024-05-18T09:57:23.170587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공휴일 유,무료 구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
유료
1602 
무료
 
322

Length

Max length4
Median length4
Mean length3.4733096
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
유료 1602
 
21.9%
무료 322
 
4.4%

Length

2024-05-18T09:57:23.583129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:23.929062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
73.7%
유료 1602
 
21.9%
무료 322
 
4.4%

월 정기권 금액
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)1.4%
Missing5840
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean9328.7858
Minimum0
Maximum350000
Zeros1318
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:24.300135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70000
Maximum350000
Range350000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30909.618
Coefficient of variation (CV)3.3133591
Kurtosis22.633814
Mean9328.7858
Median Absolute Deviation (MAD)0
Skewness4.1536088
Sum13676000
Variance9.5540445 × 108
MonotonicityNot monotonic
2024-05-18T09:57:24.758064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 1318
 
18.0%
70000 95
 
1.3%
140000 16
 
0.2%
91000 10
 
0.1%
90000 4
 
0.1%
168000 3
 
< 0.1%
80000 3
 
< 0.1%
162000 3
 
< 0.1%
176000 2
 
< 0.1%
126000 1
 
< 0.1%
Other values (11) 11
 
0.2%
(Missing) 5840
79.9%
ValueCountFrequency (%)
0 1318
18.0%
42000 1
 
< 0.1%
70000 95
 
1.3%
80000 3
 
< 0.1%
90000 4
 
0.1%
91000 10
 
0.1%
100000 1
 
< 0.1%
110000 1
 
< 0.1%
112000 1
 
< 0.1%
120000 1
 
< 0.1%
ValueCountFrequency (%)
350000 1
 
< 0.1%
280000 1
 
< 0.1%
182000 1
 
< 0.1%
180000 1
 
< 0.1%
176000 2
 
< 0.1%
175000 1
 
< 0.1%
168000 3
 
< 0.1%
162000 3
 
< 0.1%
157000 1
 
< 0.1%
140000 16
0.2%

노상 주차장 관리그룹번호
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)5.3%
Missing5453
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean1.1318991 × 1012
Minimum1.1110101 × 1012
Maximum1.1710102 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:25.197409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 1012
5-th percentile1.1110135 × 1012
Q11.1140121 × 1012
median1.1200101 × 1012
Q31.1560102 × 1012
95-th percentile1.1680106 × 1012
Maximum1.1710102 × 1012
Range6.00001 × 1010
Interquartile range (IQR)4.19981 × 1010

Descriptive statistics

Standard deviation2.1256967 × 1010
Coefficient of variation (CV)0.018779913
Kurtosis-1.5642699
Mean1.1318991 × 1012
Median Absolute Deviation (MAD)8.9946003 × 109
Skewness0.43913921
Sum2.0974091 × 1015
Variance4.5185865 × 1020
MonotonicityNot monotonic
2024-05-18T09:57:25.706816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1114015500020 88
 
1.2%
1156011000122 84
 
1.1%
1120010100349 72
 
1.0%
1162010100002 62
 
0.8%
1150010800001 59
 
0.8%
1114011700205 53
 
0.7%
1156011000081 48
 
0.7%
1159010600002 47
 
0.6%
1114015500048 47
 
0.6%
1153011000007 41
 
0.6%
Other values (89) 1252
 
17.1%
(Missing) 5453
74.6%
ValueCountFrequency (%)
1111010100001 33
0.5%
1111010300001 7
 
0.1%
1111011400001 15
0.2%
1111011400003 9
 
0.1%
1111011500005 4
 
0.1%
1111013000005 11
 
0.2%
1111013000099 5
 
0.1%
1111013500002 7
 
0.1%
1111013500003 12
 
0.2%
1111013800003 2
 
< 0.1%
ValueCountFrequency (%)
1171010200007 28
0.4%
1168011000004 18
 
0.2%
1168010700062 19
 
0.3%
1168010700019 19
 
0.3%
1168010600031 38
0.5%
1162010100002 62
0.8%
1159010600002 47
0.6%
1156013300113 18
 
0.2%
1156013200124 20
 
0.3%
1156012900003 6
 
0.1%

기본 주차 요금
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)1.7%
Missing5392
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean344.85893
Minimum0
Maximum8100
Zeros317
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:26.204512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median260
Q3500
95-th percentile750
Maximum8100
Range8100
Interquartile range (IQR)350

Descriptive statistics

Standard deviation356.66971
Coefficient of variation (CV)1.0342481
Kurtosis155.32024
Mean344.85893
Median Absolute Deviation (MAD)190
Skewness8.3960523
Sum660060
Variance127213.28
MonotonicityNot monotonic
2024-05-18T09:57:26.796249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
750 371
 
5.1%
0 317
 
4.3%
260 193
 
2.6%
450 188
 
2.6%
170 102
 
1.4%
160 98
 
1.3%
120 97
 
1.3%
220 86
 
1.2%
200 70
 
1.0%
250 59
 
0.8%
Other values (22) 333
 
4.6%
(Missing) 5392
73.8%
ValueCountFrequency (%)
0 317
4.3%
80 1
 
< 0.1%
100 1
 
< 0.1%
120 97
 
1.3%
130 33
 
0.5%
150 32
 
0.4%
160 98
 
1.3%
170 102
 
1.4%
200 70
 
1.0%
220 86
 
1.2%
ValueCountFrequency (%)
8100 1
 
< 0.1%
6000 1
 
< 0.1%
4000 1
 
< 0.1%
3000 1
 
< 0.1%
1500 1
 
< 0.1%
1000 2
 
< 0.1%
750 371
5.1%
700 2
 
< 0.1%
680 53
 
0.7%
620 14
 
0.2%

기본 주차 시간(분 단위)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.4%
Missing5392
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean4.6421108
Minimum0
Maximum540
Zeros317
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:27.333131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median5
Q35
95-th percentile5
Maximum540
Range540
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.039805
Coefficient of variation (CV)2.8090249
Kurtosis1493.4544
Mean4.6421108
Median Absolute Deviation (MAD)0
Skewness36.981243
Sum8885
Variance170.03651
MonotonicityNot monotonic
2024-05-18T09:57:27.878903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1589
 
21.7%
0 317
 
4.3%
30 3
 
< 0.1%
120 2
 
< 0.1%
10 1
 
< 0.1%
60 1
 
< 0.1%
540 1
 
< 0.1%
(Missing) 5392
73.8%
ValueCountFrequency (%)
0 317
 
4.3%
5 1589
21.7%
10 1
 
< 0.1%
30 3
 
< 0.1%
60 1
 
< 0.1%
120 2
 
< 0.1%
540 1
 
< 0.1%
ValueCountFrequency (%)
540 1
 
< 0.1%
120 2
 
< 0.1%
60 1
 
< 0.1%
30 3
 
< 0.1%
10 1
 
< 0.1%
5 1589
21.7%
0 317
 
4.3%

추가 단위 요금
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)1.5%
Missing5394
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean335.95188
Minimum0
Maximum4000
Zeros317
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:28.377382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median260
Q3500
95-th percentile750
Maximum4000
Range4000
Interquartile range (IQR)350

Descriptive statistics

Standard deviation273.39146
Coefficient of variation (CV)0.81378161
Kurtosis15.512364
Mean335.95188
Median Absolute Deviation (MAD)190
Skewness1.6491857
Sum642340
Variance74742.893
MonotonicityNot monotonic
2024-05-18T09:57:28.970704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
750 371
 
5.1%
0 317
 
4.3%
260 193
 
2.6%
450 188
 
2.6%
170 102
 
1.4%
160 98
 
1.3%
120 97
 
1.3%
220 86
 
1.2%
200 71
 
1.0%
250 59
 
0.8%
Other values (18) 330
 
4.5%
(Missing) 5394
73.8%
ValueCountFrequency (%)
0 317
4.3%
80 1
 
< 0.1%
100 1
 
< 0.1%
120 97
 
1.3%
130 33
 
0.5%
150 32
 
0.4%
160 98
 
1.3%
170 102
 
1.4%
200 71
 
1.0%
220 86
 
1.2%
ValueCountFrequency (%)
4000 1
 
< 0.1%
1000 2
 
< 0.1%
750 371
5.1%
700 2
 
< 0.1%
680 54
 
0.7%
620 14
 
0.2%
550 1
 
< 0.1%
500 58
 
0.8%
450 188
2.6%
440 1
 
< 0.1%

추가 단위 시간(분 단위)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5394 
5
1591 
0
 
317
10
 
2
60
 
1

Length

Max length4
Median length4
Mean length3.2155762
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
<NA> 5394
73.8%
5 1591
 
21.8%
0 317
 
4.3%
10 2
 
< 0.1%
60 1
 
< 0.1%
540 1
 
< 0.1%

Length

2024-05-18T09:57:29.520011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:30.051674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5394
73.8%
5 1591
 
21.8%
0 317
 
4.3%
10 2
 
< 0.1%
60 1
 
< 0.1%
540 1
 
< 0.1%

버스 기본 주차 요금
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5392 
0
1911 
860
 
1
8100
 
1
6000
 
1

Length

Max length4
Median length4
Mean length3.2151656
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 5392
73.8%
0 1911
 
26.2%
860 1
 
< 0.1%
8100 1
 
< 0.1%
6000 1
 
< 0.1%

Length

2024-05-18T09:57:30.438277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:30.877395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5392
73.8%
0 1911
 
26.2%
860 1
 
< 0.1%
8100 1
 
< 0.1%
6000 1
 
< 0.1%

버스 기본 주차 시간(분 단위)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5392 
0
1911 
120
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.2146181
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 5392
73.8%
0 1911
 
26.2%
120 2
 
< 0.1%
5 1
 
< 0.1%

Length

2024-05-18T09:57:31.437612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:31.864318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5392
73.8%
0 1911
 
26.2%
120 2
 
< 0.1%
5 1
 
< 0.1%

버스 추가 단위 요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5393 
0
1911 
680
 
1
500
 
1

Length

Max length4
Median length4
Mean length3.2150287
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 5393
73.8%
0 1911
 
26.2%
680 1
 
< 0.1%
500 1
 
< 0.1%

Length

2024-05-18T09:57:32.520950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:32.979075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5393
73.8%
0 1911
 
26.2%
680 1
 
< 0.1%
500 1
 
< 0.1%

버스 추가 단위 시간(분 단위)
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5393 
0
1911 
5
 
2

Length

Max length4
Median length4
Mean length3.2144812
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 5393
73.8%
0 1911
 
26.2%
5 2
 
< 0.1%

Length

2024-05-18T09:57:33.482973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:33.929872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5393
73.8%
0 1911
 
26.2%
5 2
 
< 0.1%

일 최대 요금
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)1.4%
Missing5837
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean761.13002
Minimum0
Maximum80000
Zeros1412
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:34.407856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum80000
Range80000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4517.3606
Coefficient of variation (CV)5.9350708
Kurtosis99.69113
Mean761.13002
Median Absolute Deviation (MAD)0
Skewness8.5830308
Sum1118100
Variance20406547
MonotonicityNot monotonic
2024-05-18T09:57:34.892874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1412
 
19.3%
18700 13
 
0.2%
12200 12
 
0.2%
9300 5
 
0.1%
15800 4
 
0.1%
28800 4
 
0.1%
8600 3
 
< 0.1%
30900 2
 
< 0.1%
23000 2
 
< 0.1%
50400 2
 
< 0.1%
Other values (10) 10
 
0.1%
(Missing) 5837
79.9%
ValueCountFrequency (%)
0 1412
19.3%
5700 1
 
< 0.1%
8600 3
 
< 0.1%
9000 1
 
< 0.1%
9300 5
 
0.1%
11500 1
 
< 0.1%
12200 12
 
0.2%
14400 1
 
< 0.1%
15800 4
 
0.1%
18700 13
 
0.2%
ValueCountFrequency (%)
80000 1
 
< 0.1%
50400 2
< 0.1%
39600 1
 
< 0.1%
31600 1
 
< 0.1%
30900 2
< 0.1%
30000 1
 
< 0.1%
28800 4
0.1%
25900 1
 
< 0.1%
23000 2
< 0.1%
21600 1
 
< 0.1%

주차장 위치 좌표 위도
Real number (ℝ)

Distinct7203
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.537083
Minimum37.438884
Maximum37.689721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:35.395973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438884
5-th percentile37.46889
Q137.513532
median37.529955
Q337.565966
95-th percentile37.614346
Maximum37.689721
Range0.25083703
Interquartile range (IQR)0.052434111

Descriptive statistics

Standard deviation0.041916314
Coefficient of variation (CV)0.0011166641
Kurtosis0.44271757
Mean37.537083
Median Absolute Deviation (MAD)0.030477885
Skewness0.42684485
Sum274245.93
Variance0.0017569774
MonotonicityNot monotonic
2024-05-18T09:57:36.060235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4939274 18
 
0.2%
37.5903188 5
 
0.1%
37.5901647 4
 
0.1%
37.4792 3
 
< 0.1%
37.56804 3
 
< 0.1%
37.5903401 3
 
< 0.1%
37.4944547 3
 
< 0.1%
37.5902923 3
 
< 0.1%
37.590271 3
 
< 0.1%
37.4942647 2
 
< 0.1%
Other values (7193) 7259
99.4%
ValueCountFrequency (%)
37.43888366 1
< 0.1%
37.44556 1
< 0.1%
37.44656 1
< 0.1%
37.452236 1
< 0.1%
37.452255 1
< 0.1%
37.45258 1
< 0.1%
37.45263 1
< 0.1%
37.452682 1
< 0.1%
37.452732 1
< 0.1%
37.452774 1
< 0.1%
ValueCountFrequency (%)
37.68972069 1
< 0.1%
37.6876442 1
< 0.1%
37.67070279 1
< 0.1%
37.67069961 1
< 0.1%
37.67069546 1
< 0.1%
37.67068814 1
< 0.1%
37.67067356 1
< 0.1%
37.67067242 1
< 0.1%
37.67066482 1
< 0.1%
37.67065711 1
< 0.1%

주차장 위치 좌표 경도
Real number (ℝ)

Distinct7204
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.96228
Minimum126.51031
Maximum127.17231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.3 KiB
2024-05-18T09:57:36.728816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.51031
5-th percentile126.8437
Q1126.8914
median126.94376
Q3127.03109
95-th percentile127.11799
Maximum127.17231
Range0.66199806
Interquartile range (IQR)0.13969578

Descriptive statistics

Standard deviation0.085043458
Coefficient of variation (CV)0.00066983246
Kurtosis-1.0438009
Mean126.96228
Median Absolute Deviation (MAD)0.076676988
Skewness0.16805644
Sum927586.44
Variance0.0072323898
MonotonicityNot monotonic
2024-05-18T09:57:37.675991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.89742 4
 
0.1%
126.89745 4
 
0.1%
126.978344 4
 
0.1%
126.9180869 3
 
< 0.1%
126.89372 3
 
< 0.1%
126.9180799 3
 
< 0.1%
126.90446 3
 
< 0.1%
126.904434 3
 
< 0.1%
126.89375 3
 
< 0.1%
126.90464 3
 
< 0.1%
Other values (7194) 7273
99.5%
ValueCountFrequency (%)
126.51031494 1
< 0.1%
126.79821222 1
< 0.1%
126.80518976 1
< 0.1%
126.81217459 1
< 0.1%
126.81331479 1
< 0.1%
126.81616825 1
< 0.1%
126.81617105 1
< 0.1%
126.81617332 1
< 0.1%
126.81617631 1
< 0.1%
126.81617784 1
< 0.1%
ValueCountFrequency (%)
127.172313 1
< 0.1%
127.15591212 1
< 0.1%
127.15038338 1
< 0.1%
127.146035 1
< 0.1%
127.138958 1
< 0.1%
127.138897 1
< 0.1%
127.138835 1
< 0.1%
127.138773 1
< 0.1%
127.138711 1
< 0.1%
127.138649 1
< 0.1%

공유 주차장 관리업체명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing7305
Missing (%)> 99.9%
Memory size57.2 KiB
2024-05-18T09:57:38.180818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row베스텔라랩
ValueCountFrequency (%)
베스텔라랩 1
100.0%
2024-05-18T09:57:39.075402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
베 1
20.0%
스 1
20.0%
텔 1
20.0%
라 1
20.0%
랩 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
베 1
20.0%
스 1
20.0%
텔 1
20.0%
라 1
20.0%
랩 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
베 1
20.0%
스 1
20.0%
텔 1
20.0%
라 1
20.0%
랩 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
베 1
20.0%
스 1
20.0%
텔 1
20.0%
라 1
20.0%
랩 1
20.0%

공유 주차장 여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
<NA>
5382 
N
1809 
 
114
Y
 
1

Length

Max length4
Median length4
Mean length3.2099644
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5382
73.7%
N 1809
 
24.8%
114
 
1.6%
Y 1
 
< 0.1%

Length

2024-05-18T09:57:39.625955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:57:40.078545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5382
74.8%
n 1809
 
25.2%
y 1
 
< 0.1%

공유 주차장 관리업체 링크
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing7305
Missing (%)> 99.9%
Memory size57.2 KiB
2024-05-18T09:57:40.588798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowcom.vestellalab.watchmilepublic
ValueCountFrequency (%)
com.vestellalab.watchmilepublic 1
100.0%
2024-05-18T09:57:41.432734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 5
16.1%
c 3
9.7%
e 3
9.7%
a 3
9.7%
m 2
 
6.5%
. 2
 
6.5%
t 2
 
6.5%
b 2
 
6.5%
i 2
 
6.5%
o 1
 
3.2%
Other values (6) 6
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29
93.5%
Other Punctuation 2
 
6.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 5
17.2%
c 3
10.3%
e 3
10.3%
a 3
10.3%
m 2
 
6.9%
t 2
 
6.9%
b 2
 
6.9%
i 2
 
6.9%
o 1
 
3.4%
v 1
 
3.4%
Other values (5) 5
17.2%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29
93.5%
Common 2
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 5
17.2%
c 3
10.3%
e 3
10.3%
a 3
10.3%
m 2
 
6.9%
t 2
 
6.9%
b 2
 
6.9%
i 2
 
6.9%
o 1
 
3.4%
v 1
 
3.4%
Other values (5) 5
17.2%
Common
ValueCountFrequency (%)
. 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 5
16.1%
c 3
9.7%
e 3
9.7%
a 3
9.7%
m 2
 
6.5%
. 2
 
6.5%
t 2
 
6.5%
b 2
 
6.5%
i 2
 
6.5%
o 1
 
3.2%
Other values (6) 6
19.4%

공유 주차장 기타사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7306
Missing (%)100.0%
Memory size64.3 KiB

Sample

주차장코드주차장명주소주차장 종류주차장 종류명운영구분운영구분명전화번호주차현황 정보 제공여부주차현황 정보 제공여부명총 주자면현재 주차 차량수현재 주차 차량수 업데이트시간유무료구분유무료구분명야간무료개방여부야간무료개방여부명평일 운영 시작시각(HHMM)평일 운영 종료시각(HHMM)주말 운영 시작시각(HHMM)주말 운영 종료시각(HHMM)공휴일 운영 시작시각(HHMM)공휴일 운영 종료시각(HHMM)토요일 유,무료 구분토요일 유,무료 구분명공휴일 유,무료 구분공휴일 유,무료 구분명월 정기권 금액노상 주차장 관리그룹번호기본 주차 요금기본 주차 시간(분 단위)추가 단위 요금추가 단위 시간(분 단위)버스 기본 주차 요금버스 기본 주차 시간(분 단위)버스 추가 단위 요금버스 추가 단위 시간(분 단위)일 최대 요금주차장 위치 좌표 위도주차장 위치 좌표 경도공유 주차장 관리업체명공유 주차장 여부공유 주차장 관리업체 링크공유 주차장 기타사항
0171721세종로 공영주차장(시)종로구 세종로 80-1NW노외 주차장1시간제 주차장02-2290-65661현재~20분이내 연계데이터 존재(현재 주차대수 표현)12601632024-05-18 09:51:26Y유료N야간 미개방024000240002400N무료N무료176000<NA>4305430500003090037.573403126.975884<NA>N<NA><NA>
1171730종묘주차장 공영주차장(시)종로구 훈정동 2-0NW노외 주차장1시간제 주차장02-2290-61661현재~20분이내 연계데이터 존재(현재 주차대수 표현)13175532024-05-18 09:51:26Y유료N야간 미개방024000240002400N무료N무료175000<NA>4005400500002880037.571504126.994969<NA>N<NA><NA>
2171900훈련원공원 공영주차장(시)중구 을지로5가 40-3NW노외 주차장1시간제 주차장02-3405-45971현재~20분이내 연계데이터 존재(현재 주차대수 표현)8732902024-05-18 09:51:26Y유료N야간 미개방024000240002400N무료N무료176000<NA>5505550500003960037.5674127.003521<NA>N<NA><NA>
3172051한강진역 공영주차장(시)용산구 한남동 728-27NW노외 주차장1시간제 주차장02-795-64061현재~20분이내 연계데이터 존재(현재 주차대수 표현)174532024-05-18 09:51:26Y유료N야간 미개방024000240002400N무료N무료168000<NA>4005400500002880037.539522127.00258<NA>N<NA><NA>
4172065용산주차빌딩 공영주차장(시)용산구 한강로2가 12-9NW노외 주차장1시간제 주차장02-2290-60141현재~20분이내 연계데이터 존재(현재 주차대수 표현)5611182024-05-18 09:51:26Y유료N야간 미개방024000240002400N무료N무료168000<NA>3005300500002160037.534364126.965418<NA>N<NA><NA>
5172382봉화산역(남) 공영주차장(시)중랑구 신내동 647-0NW노외 주차장1시간제 주차장<NA>0미연계중8602024-02-20 18:29:05Y유료N야간 미개방900220090022009002200N무료N무료42000<NA>8058050000570037.61643127.091972<NA>N<NA><NA>
6172605우이동 공영주차장(시)강북구 우이동 105-2NW노외 주차장1시간제 주차장02-944-30441현재~20분이내 연계데이터 존재(현재 주차대수 표현)8202024-05-18 09:51:21N무료N야간 미개방024000240002400N무료N무료<NA><NA><NA><NA><NA><NA>00008000037.656718127.011637<NA>N<NA><NA>
7172844마포유수지(시)마포구 마포동 36-1NW노외 주차장5시간제 + 버스전용 주차장02-2290-60931현재~20분이내 연계데이터 존재(현재 주차대수 표현)5031352024-05-18 09:51:26Y유료N야간 미개방024000240002400N무료N무료162000<NA>22052205<NA><NA><NA><NA>1580037.5389126.942669<NA>N<NA><NA>
8172935웃우물 공영주차장(시)양천구 신정동 943-25NW노외 주차장1시간제 주차장02-2290-63111현재~20분이내 연계데이터 존재(현재 주차대수 표현)79572024-05-18 09:51:27Y유료N야간 미개방024000240002400N무료N무료140000<NA>2205220500001580037.523798126.851417<NA>N<NA><NA>
9172937목동체비지 공영주차장(시)양천구 목동 908-26NW노외 주차장1시간제 주차장<NA>1현재~20분이내 연계데이터 존재(현재 주차대수 표현)55852024-05-18 09:51:26Y유료N야간 미개방800210080021008002100N무료N무료90000<NA>130513050000930037.536794126.880647<NA>N<NA><NA>
주차장코드주차장명주소주차장 종류주차장 종류명운영구분운영구분명전화번호주차현황 정보 제공여부주차현황 정보 제공여부명총 주자면현재 주차 차량수현재 주차 차량수 업데이트시간유무료구분유무료구분명야간무료개방여부야간무료개방여부명평일 운영 시작시각(HHMM)평일 운영 종료시각(HHMM)주말 운영 시작시각(HHMM)주말 운영 종료시각(HHMM)공휴일 운영 시작시각(HHMM)공휴일 운영 종료시각(HHMM)토요일 유,무료 구분토요일 유,무료 구분명공휴일 유,무료 구분공휴일 유,무료 구분명월 정기권 금액노상 주차장 관리그룹번호기본 주차 요금기본 주차 시간(분 단위)추가 단위 요금추가 단위 시간(분 단위)버스 기본 주차 요금버스 기본 주차 시간(분 단위)버스 추가 단위 요금버스 추가 단위 시간(분 단위)일 최대 요금주차장 위치 좌표 위도주차장 위치 좌표 경도공유 주차장 관리업체명공유 주차장 여부공유 주차장 관리업체 링크공유 주차장 기타사항
7296<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.56364126.925903<NA><NA><NA><NA>
7297<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.56145126.924237<NA><NA><NA><NA>
7298<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.562924126.925094<NA><NA><NA><NA>
7299<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.563192126.925401<NA><NA><NA><NA>
7300<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.563855126.925944<NA><NA><NA><NA>
7301<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.563948126.926259<NA><NA><NA><NA>
7302<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.561633126.92425<NA><NA><NA><NA>
7303<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.563016126.9252<NA><NA><NA><NA>
7304<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.562027126.924421<NA><NA><NA><NA>
7305<NA><NA><NA><NA><NA><NA>이륜차 전용 주차장<NA><NA>미연계중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.56111126.924345<NA><NA><NA><NA>