Overview

Dataset statistics

Number of variables8
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory65.6 B

Variable types

Text3
Categorical5

Dataset

Description전주시 관내 주차장 현황 제공
Author전주시시설관리공단
URLhttps://www.data.go.kr/data/15003201/fileData.do

Alerts

비고 is highly overall correlated with 운영시간 and 3 other fieldsHigh correlation
주차요금 is highly overall correlated with 운영시간 and 3 other fieldsHigh correlation
전화번호 is highly overall correlated with 운영시간 and 3 other fieldsHigh correlation
당일최고요금 is highly overall correlated with 운영시간 and 3 other fieldsHigh correlation
운영시간 is highly overall correlated with 당일최고요금 and 3 other fieldsHigh correlation
운영시간 is highly imbalanced (54.4%)Imbalance
주차장명 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:31:18.514844
Analysis finished2023-12-12 07:31:19.212112
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T16:31:19.558398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.382716
Min length3

Characters and Unicode

Total characters760
Distinct characters168
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row오거리 주차장
2nd row건산천1 주차장
3rd row건산천2 주차장
4th row덕진광장 주차장
5th row삼천2동 주차장
ValueCountFrequency (%)
서부신시가지 15
 
9.1%
주차장 13
 
7.9%
6
 
3.6%
하가지구 6
 
3.6%
광장 5
 
3.0%
만남의 5
 
3.0%
아중지구 4
 
2.4%
4
 
2.4%
송천2동 4
 
2.4%
한옥마을 4
 
2.4%
Other values (90) 99
60.0%
2023-12-12T16:31:20.262673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
11.2%
36
 
4.7%
29
 
3.8%
29
 
3.8%
28
 
3.7%
26
 
3.4%
26
 
3.4%
22
 
2.9%
22
 
2.9%
20
 
2.6%
Other values (158) 437
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
82.8%
Space Separator 85
 
11.2%
Decimal Number 19
 
2.5%
Uppercase Letter 12
 
1.6%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
5.7%
29
 
4.6%
29
 
4.6%
28
 
4.5%
26
 
4.1%
26
 
4.1%
22
 
3.5%
22
 
3.5%
20
 
3.2%
15
 
2.4%
Other values (143) 376
59.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
T 3
25.0%
P 3
25.0%
S 1
 
8.3%
K 1
 
8.3%
B 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 12
63.2%
1 6
31.6%
3 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
@ 1
33.3%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
82.8%
Common 119
 
15.7%
Latin 12
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
5.7%
29
 
4.6%
29
 
4.6%
28
 
4.5%
26
 
4.1%
26
 
4.1%
22
 
3.5%
22
 
3.5%
20
 
3.2%
15
 
2.4%
Other values (143) 376
59.8%
Common
ValueCountFrequency (%)
85
71.4%
2 12
 
10.1%
) 6
 
5.0%
( 6
 
5.0%
1 6
 
5.0%
, 1
 
0.8%
@ 1
 
0.8%
3 1
 
0.8%
? 1
 
0.8%
Latin
ValueCountFrequency (%)
A 3
25.0%
T 3
25.0%
P 3
25.0%
S 1
 
8.3%
K 1
 
8.3%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
82.8%
ASCII 131
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
64.9%
2 12
 
9.2%
) 6
 
4.6%
( 6
 
4.6%
1 6
 
4.6%
A 3
 
2.3%
T 3
 
2.3%
P 3
 
2.3%
S 1
 
0.8%
, 1
 
0.8%
Other values (5) 5
 
3.8%
Hangul
ValueCountFrequency (%)
36
 
5.7%
29
 
4.6%
29
 
4.6%
28
 
4.5%
26
 
4.1%
26
 
4.1%
22
 
3.5%
22
 
3.5%
20
 
3.2%
15
 
2.4%
Other values (143) 376
59.8%
Distinct54
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T16:31:20.941421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2716049
Min length3

Characters and Unicode

Total characters265
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)48.1%

Sample

1st row198면
2nd row78면
3rd row68면
4th row33면
5th row194면
ValueCountFrequency (%)
28면 7
 
8.6%
17면 4
 
4.9%
32면 4
 
4.9%
34면 3
 
3.7%
24면 3
 
3.7%
68면 3
 
3.7%
46면 2
 
2.5%
20면 2
 
2.5%
26면 2
 
2.5%
30면 2
 
2.5%
Other values (44) 49
60.5%
2023-12-12T16:31:21.309835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
30.6%
2 32
 
12.1%
1 25
 
9.4%
8 24
 
9.1%
4 23
 
8.7%
3 21
 
7.9%
0 19
 
7.2%
7 14
 
5.3%
6 12
 
4.5%
5 7
 
2.6%
Other values (2) 7
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
68.7%
Other Letter 81
30.6%
Other Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 32
17.6%
1 25
13.7%
8 24
13.2%
4 23
12.6%
3 21
11.5%
0 19
10.4%
7 14
7.7%
6 12
 
6.6%
5 7
 
3.8%
9 5
 
2.7%
Other Letter
ValueCountFrequency (%)
81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 184
69.4%
Hangul 81
30.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 32
17.4%
1 25
13.6%
8 24
13.0%
4 23
12.5%
3 21
11.4%
0 19
10.3%
7 14
7.6%
6 12
 
6.5%
5 7
 
3.8%
9 5
 
2.7%
Hangul
ValueCountFrequency (%)
81
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
69.4%
Hangul 81
30.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
81
100.0%
ASCII
ValueCountFrequency (%)
2 32
17.4%
1 25
13.6%
8 24
13.0%
4 23
12.5%
3 21
11.4%
0 19
10.3%
7 14
7.6%
6 12
 
6.5%
5 7
 
3.8%
9 5
 
2.7%

운영시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
24시간
61 
24시간(연중무휴)
16 
07:00~23:00
 
2
하절기 10:00~19:00,동절기 09:00~18:00
 
1
09:00~18:00(연중무휴)
 
1

Length

Max length31
Median length4
Mean length5.8518519
Min length4

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row24시간(연중무휴)
2nd row24시간(연중무휴)
3rd row24시간(연중무휴)
4th row24시간(연중무휴)
5th row24시간(연중무휴)

Common Values

ValueCountFrequency (%)
24시간 61
75.3%
24시간(연중무휴) 16
 
19.8%
07:00~23:00 2
 
2.5%
하절기 10:00~19:00,동절기 09:00~18:00 1
 
1.2%
09:00~18:00(연중무휴) 1
 
1.2%

Length

2023-12-12T16:31:21.473197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:21.611201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24시간 61
73.5%
24시간(연중무휴 16
 
19.3%
07:00~23:00 2
 
2.4%
하절기 1
 
1.2%
10:00~19:00,동절기 1
 
1.2%
09:00~18:00 1
 
1.2%
09:00~18:00(연중무휴 1
 
1.2%

당일최고요금
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
무료
61 
6,000원
4,000원
12,000원
 
3
1,000원
 
1

Length

Max length7
Median length2
Mean length3.0246914
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row6,000원
2nd row4,000원
3rd row4,000원
4th row6,000원
5th row4,000원

Common Values

ValueCountFrequency (%)
무료 61
75.3%
6,000원 9
 
11.1%
4,000원 7
 
8.6%
12,000원 3
 
3.7%
1,000원 1
 
1.2%

Length

2023-12-12T16:31:21.738037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:21.858133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 61
75.3%
6,000원 9
 
11.1%
4,000원 7
 
8.6%
12,000원 3
 
3.7%
1,000원 1
 
1.2%

주차요금
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size780.0 B
무료
61 
기본(30):600, 추가(15):300
기본(30):500, 추가(15):250
 
4
최초1시간 무료주차/ 이후 기본(30):500, 추가(15):250
 
3
기본(30):1,000, 추가(15):500
 
3

Length

Max length46
Median length2
Mean length7.8641975
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row기본(30):600, 추가(15):300
2nd row기본(30):500, 추가(15):250
3rd row기본(30):500, 추가(15):250
4th row기본(30):600, 추가(15):300
5th row최초1시간 무료주차/ 이후 기본(30):500, 추가(15):250

Common Values

ValueCountFrequency (%)
무료 61
75.3%
기본(30):600, 추가(15):300 9
 
11.1%
기본(30):500, 추가(15):250 4
 
4.9%
최초1시간 무료주차/ 이후 기본(30):500, 추가(15):250 3
 
3.7%
기본(30):1,000, 추가(15):500 3
 
3.7%
▶선불 1,000원(시간제한없음)▶25인승 이상 - 선불 2,000원(시간제한없음) 1
 
1.2%

Length

2023-12-12T16:31:22.030560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:22.166743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 61
53.5%
기본(30):600 9
 
7.9%
추가(15):300 9
 
7.9%
기본(30):500 7
 
6.1%
추가(15):250 7
 
6.1%
최초1시간 3
 
2.6%
무료주차 3
 
2.6%
이후 3
 
2.6%
기본(30):1,000 3
 
2.6%
추가(15):500 3
 
2.6%
Other values (6) 6
 
5.3%

주 소
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T16:31:22.544652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.851852
Min length12

Characters and Unicode

Total characters1284
Distinct characters112
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 팔달로 217-21
2nd row전주시 덕진구 숲정이 5길 7
3rd row전주시 덕진구 태진로 125-22
4th row전주시 덕진구 덕진광장로 3
5th row전주시 완산구 상거마 4길 24
ValueCountFrequency (%)
전주시 81
25.6%
완산구 43
 
13.6%
덕진구 36
 
11.4%
7 5
 
1.6%
기린대로 5
 
1.6%
홍산북로 3
 
0.9%
9 2
 
0.6%
10 2
 
0.6%
홍산남로 2
 
0.6%
13 2
 
0.6%
Other values (130) 136
42.9%
2023-12-12T16:31:23.076799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
18.5%
85
 
6.6%
85
 
6.6%
81
 
6.3%
79
 
6.2%
1 62
 
4.8%
57
 
4.4%
47
 
3.7%
44
 
3.4%
41
 
3.2%
Other values (102) 466
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 775
60.4%
Decimal Number 246
 
19.2%
Space Separator 237
 
18.5%
Dash Punctuation 25
 
1.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
85
11.0%
85
11.0%
81
10.5%
79
10.2%
57
 
7.4%
47
 
6.1%
44
 
5.7%
41
 
5.3%
38
 
4.9%
35
 
4.5%
Other values (89) 183
23.6%
Decimal Number
ValueCountFrequency (%)
1 62
25.2%
2 37
15.0%
3 32
13.0%
5 25
10.2%
4 21
 
8.5%
7 20
 
8.1%
6 14
 
5.7%
0 14
 
5.7%
8 11
 
4.5%
9 10
 
4.1%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 775
60.4%
Common 509
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
85
11.0%
85
11.0%
81
10.5%
79
10.2%
57
 
7.4%
47
 
6.1%
44
 
5.7%
41
 
5.3%
38
 
4.9%
35
 
4.5%
Other values (89) 183
23.6%
Common
ValueCountFrequency (%)
237
46.6%
1 62
 
12.2%
2 37
 
7.3%
3 32
 
6.3%
- 25
 
4.9%
5 25
 
4.9%
4 21
 
4.1%
7 20
 
3.9%
6 14
 
2.8%
0 14
 
2.8%
Other values (3) 22
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 775
60.4%
ASCII 509
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
46.6%
1 62
 
12.2%
2 37
 
7.3%
3 32
 
6.3%
- 25
 
4.9%
5 25
 
4.9%
4 21
 
4.1%
7 20
 
3.9%
6 14
 
2.8%
0 14
 
2.8%
Other values (3) 22
 
4.3%
Hangul
ValueCountFrequency (%)
85
11.0%
85
11.0%
81
10.5%
79
10.2%
57
 
7.4%
47
 
6.1%
44
 
5.7%
41
 
5.3%
38
 
4.9%
35
 
4.5%
Other values (89) 183
23.6%

전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
61 
239-2768
20 

Length

Max length8
Median length4
Mean length4.9876543
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row239-2768
2nd row239-2768
3rd row239-2768
4th row239-2768
5th row239-2768

Common Values

ValueCountFrequency (%)
<NA> 61
75.3%
239-2768 20
 
24.7%

Length

2023-12-12T16:31:23.231117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:23.375898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
75.3%
239-2768 20
 
24.7%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
무료주차장
61 
유료주차장
20 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료주차장 61
75.3%
유료주차장 20
 
24.7%

Length

2023-12-12T16:31:23.508874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:23.650692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료주차장 61
75.3%
유료주차장 20
 
24.7%

Correlations

2023-12-12T16:31:23.780234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차면수운영시간당일최고요금주차요금주 소비고
주차장명1.0001.0001.0001.0001.0001.0001.000
주차면수1.0001.0000.9940.9810.9911.0000.937
운영시간1.0000.9941.0000.9760.8831.0001.000
당일최고요금1.0000.9810.9761.0001.0001.0001.000
주차요금1.0000.9910.8831.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.0001.000
비고1.0000.9371.0001.0001.0001.0001.000
2023-12-12T16:31:23.972810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고주차요금전화번호당일최고요금운영시간
비고1.0000.9741.0000.9810.981
주차요금0.9741.0001.0000.9930.808
전화번호1.0001.0001.0001.0001.000
당일최고요금0.9810.9931.0001.0000.776
운영시간0.9810.8081.0000.7761.000
2023-12-12T16:31:24.091467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간당일최고요금주차요금전화번호비고
운영시간1.0000.7760.8081.0000.981
당일최고요금0.7761.0000.9931.0000.981
주차요금0.8080.9931.0001.0000.974
전화번호1.0001.0001.0001.0001.000
비고0.9810.9810.9741.0001.000

Missing values

2023-12-12T16:31:19.034139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:31:19.148336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

주차장명주차면수운영시간당일최고요금주차요금주 소전화번호비고
0오거리 주차장198면24시간(연중무휴)6,000원기본(30):600, 추가(15):300전주시 완산구 팔달로 217-21239-2768유료주차장
1건산천1 주차장78면24시간(연중무휴)4,000원기본(30):500, 추가(15):250전주시 덕진구 숲정이 5길 7239-2768유료주차장
2건산천2 주차장68면24시간(연중무휴)4,000원기본(30):500, 추가(15):250전주시 덕진구 태진로 125-22239-2768유료주차장
3덕진광장 주차장33면24시간(연중무휴)6,000원기본(30):600, 추가(15):300전주시 덕진구 덕진광장로 3239-2768유료주차장
4삼천2동 주차장194면24시간(연중무휴)4,000원최초1시간 무료주차/ 이후 기본(30):500, 추가(15):250전주시 완산구 상거마 4길 24239-2768유료주차장
5중화산2동 주차장89면24시간(연중무휴)4,000원최초1시간 무료주차/ 이후 기본(30):500, 추가(15):250전주시 완산구 신촌3길 28-4239-2768유료주차장
6서신동 주차장131면24시간(연중무휴)4,000원최초1시간 무료주차/ 이후 기본(30):500, 추가(15):250전주시 완산구 당산로 56239-2768유료주차장
7종합경기장 주차장638면07:00~23:004,000원기본(30):500, 추가(15):250전주시 덕진구 기린대로 451239-2768유료주차장
8실내체육관 주차장150면07:00~23:004,000원기본(30):500, 추가(15):250전주시 덕진구 권삼득로 308239-2768유료주차장
9한옥마을 제1 주차장301면24시간(연중무휴)12,000원기본(30):1,000, 추가(15):500전주시 완산구 기린대로 99239-2768유료주차장
주차장명주차면수운영시간당일최고요금주차요금주 소전화번호비고
71인후공원64면24시간무료무료전주시 덕진구 안덕원3길 10<NA>무료주차장
72서신동 에덴교회28면24시간무료무료전주시 완산구 고사평 1길 3<NA>무료주차장
73한옥마을 치명자산성지 옆1,000면24시간무료무료전주시 완산구 바람쐬는길 133<NA>무료주차장
74송천2동 시영아파트 앞170면24시간무료무료전주시 덕진구 와룡로 97-14<NA>무료주차장
75남노송동 병무청27면24시간무료무료전주시 완산구 관선3길 8-4<NA>무료주차장
76인후2동 용수마을11면24시간무료무료전주시 덕진구 거북바우로 124-15<NA>무료주차장
77월드컵경기장4,181면24시간무료무료전주시 덕진구 기린대로 1055<NA>무료주차장
78화산체육관343면24시간무료무료전주시 완산구 백제로310<NA>무료주차장
79완산수영장210면24시간무료무료전주시 완산구 쑥고개로366-7<NA>무료주차장
80덕진공원70면24시간무료무료전주시 덕진구 권삼득로 390<NA>무료주차장