Overview

Dataset statistics

Number of variables32
Number of observations314
Missing cells324
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.2 KiB
Average record size in memory258.4 B

Variable types

Categorical24
Text6
Numeric2

Alerts

주차장구분 is highly imbalanced (86.5%)Imbalance
주차장유형 is highly imbalanced (55.3%)Imbalance
부제시행구분 is highly imbalanced (68.7%)Imbalance
운영요일 is highly imbalanced (63.2%)Imbalance
평일운영종료시각 is highly imbalanced (53.9%)Imbalance
토요일운영종료시각 is highly imbalanced (53.9%)Imbalance
공휴일운영종료시각 is highly imbalanced (53.9%)Imbalance
요금정보 is highly imbalanced (62.0%)Imbalance
주차기본시간 is highly imbalanced (64.8%)Imbalance
주차기본요금 is highly imbalanced (66.5%)Imbalance
추가단위시간 is highly imbalanced (65.3%)Imbalance
추가단위요금 is highly imbalanced (68.4%)Imbalance
1일주차권요금적용시간 is highly imbalanced (68.4%)Imbalance
1일주차권요금 is highly imbalanced (69.1%)Imbalance
월정기권요금 is highly imbalanced (69.7%)Imbalance
결제방법 is highly imbalanced (66.1%)Imbalance
특기사항 is highly imbalanced (64.0%)Imbalance
소재지도로명주소 has 43 (13.7%) missing valuesMissing
위도(WGS84좌표) has 140 (44.6%) missing valuesMissing
경도(WGS84좌표) has 140 (44.6%) missing valuesMissing
주차장관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:07:36.627984
Analysis finished2024-03-14 02:07:37.257183
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct9
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
익산시
134 
전주시
76 
장수군
27 
부안군
26 
고창군
23 
Other values (4)
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
익산시 134
42.7%
전주시 76
24.2%
장수군 27
 
8.6%
부안군 26
 
8.3%
고창군 23
 
7.3%
순창군 11
 
3.5%
진안군 9
 
2.9%
정읍시 7
 
2.2%
임실군 1
 
0.3%

Length

2024-03-14T11:07:37.310511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:37.401142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
익산시 134
42.7%
전주시 76
24.2%
장수군 27
 
8.6%
부안군 26
 
8.3%
고창군 23
 
7.3%
순창군 11
 
3.5%
진안군 9
 
2.9%
정읍시 7
 
2.2%
임실군 1
 
0.3%

주차장관리번호
Text

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T11:07:37.592222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.636943
Min length1

Characters and Unicode

Total characters3340
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)100.0%

Sample

1st row100-2-00001
2nd row100-2-00002
3rd row100-2-00003
4th row100-2-00004
5th row100-2-00005
ValueCountFrequency (%)
100-2-00001 1
 
0.3%
308-2-000103 1
 
0.3%
309-1-000003 1
 
0.3%
309-1-000002 1
 
0.3%
309-1-000001 1
 
0.3%
308-2-000107 1
 
0.3%
308-2-000106 1
 
0.3%
308-2-000105 1
 
0.3%
313-2-00002 1
 
0.3%
308-2-000102 1
 
0.3%
Other values (305) 305
96.8%
2024-03-14T11:07:37.919857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1389
41.6%
- 572
17.1%
2 315
 
9.4%
3 289
 
8.7%
1 283
 
8.5%
8 194
 
5.8%
9 70
 
2.1%
7 59
 
1.8%
4 55
 
1.6%
6 53
 
1.6%
Other values (9) 61
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2760
82.6%
Dash Punctuation 572
 
17.1%
Other Letter 7
 
0.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1389
50.3%
2 315
 
11.4%
3 289
 
10.5%
1 283
 
10.3%
8 194
 
7.0%
9 70
 
2.5%
7 59
 
2.1%
4 55
 
2.0%
6 53
 
1.9%
5 53
 
1.9%
Other Letter
ValueCountFrequency (%)
전 1
14.3%
라 1
14.3%
북 1
14.3%
도 1
14.3%
임 1
14.3%
실 1
14.3%
군 1
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 572
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3333
99.8%
Hangul 7
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1389
41.7%
- 572
17.2%
2 315
 
9.5%
3 289
 
8.7%
1 283
 
8.5%
8 194
 
5.8%
9 70
 
2.1%
7 59
 
1.8%
4 55
 
1.7%
6 53
 
1.6%
Other values (2) 54
 
1.6%
Hangul
ValueCountFrequency (%)
전 1
14.3%
라 1
14.3%
북 1
14.3%
도 1
14.3%
임 1
14.3%
실 1
14.3%
군 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3333
99.8%
Hangul 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1389
41.7%
- 572
17.2%
2 315
 
9.5%
3 289
 
8.7%
1 283
 
8.5%
8 194
 
5.8%
9 70
 
2.1%
7 59
 
1.8%
4 55
 
1.7%
6 53
 
1.6%
Other values (2) 54
 
1.6%
Hangul
ValueCountFrequency (%)
전 1
14.3%
라 1
14.3%
북 1
14.3%
도 1
14.3%
임 1
14.3%
실 1
14.3%
군 1
14.3%

주차장명
Text

Distinct306
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T11:07:38.139610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.1751592
Min length3

Characters and Unicode

Total characters2567
Distinct characters265
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

Unique299 ?
Unique (%)95.2%

Sample

1st row오거리
2nd row덕진광장
3rd row건산천1
4th row건산천2
5th row삼천2동
ValueCountFrequency (%)
주차장 122
 
23.6%
서부신시가지 19
 
3.7%
하가지구 6
 
1.2%
만남의광장 6
 
1.2%
옆 5
 
1.0%
임시공영주차장 5
 
1.0%
아중지구 4
 
0.8%
뒤 4
 
0.8%
서신동 3
 
0.6%
공영주차장 3
 
0.6%
Other values (324) 339
65.7%
2024-03-14T11:07:38.470102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 257
 
10.0%
주 224
 
8.7%
차 216
 
8.4%
203
 
7.9%
마 115
 
4.5%
을 111
 
4.3%
동 54
 
2.1%
시 50
 
1.9%
공 50
 
1.9%
지 44
 
1.7%
Other values (255) 1243
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2309
89.9%
Space Separator 203
 
7.9%
Decimal Number 32
 
1.2%
Uppercase Letter 16
 
0.6%
Other Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 257
 
11.1%
주 224
 
9.7%
차 216
 
9.4%
마 115
 
5.0%
을 111
 
4.8%
동 54
 
2.3%
시 50
 
2.2%
공 50
 
2.2%
지 44
 
1.9%
영 43
 
1.9%
Other values (239) 1145
49.6%
Uppercase Letter
ValueCountFrequency (%)
T 3
18.8%
K 3
18.8%
A 3
18.8%
P 3
18.8%
B 2
12.5%
S 2
12.5%
Decimal Number
ValueCountFrequency (%)
2 17
53.1%
1 12
37.5%
3 1
 
3.1%
9 1
 
3.1%
6 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
@ 1
33.3%
Space Separator
ValueCountFrequency (%)
203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2309
89.9%
Common 242
 
9.4%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 257
 
11.1%
주 224
 
9.7%
차 216
 
9.4%
마 115
 
5.0%
을 111
 
4.8%
동 54
 
2.3%
시 50
 
2.2%
공 50
 
2.2%
지 44
 
1.9%
영 43
 
1.9%
Other values (239) 1145
49.6%
Common
ValueCountFrequency (%)
203
83.9%
2 17
 
7.0%
1 12
 
5.0%
( 2
 
0.8%
) 2
 
0.8%
. 2
 
0.8%
3 1
 
0.4%
@ 1
 
0.4%
9 1
 
0.4%
6 1
 
0.4%
Latin
ValueCountFrequency (%)
T 3
18.8%
K 3
18.8%
A 3
18.8%
P 3
18.8%
B 2
12.5%
S 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2309
89.9%
ASCII 258
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 257
 
11.1%
주 224
 
9.7%
차 216
 
9.4%
마 115
 
5.0%
을 111
 
4.8%
동 54
 
2.3%
시 50
 
2.2%
공 50
 
2.2%
지 44
 
1.9%
영 43
 
1.9%
Other values (239) 1145
49.6%
ASCII
ValueCountFrequency (%)
203
78.7%
2 17
 
6.6%
1 12
 
4.7%
T 3
 
1.2%
K 3
 
1.2%
A 3
 
1.2%
P 3
 
1.2%
( 2
 
0.8%
) 2
 
0.8%
B 2
 
0.8%
Other values (6) 8
 
3.1%

주차장구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
공영
305 
공영(부설)
 
6
민영
 
3

Length

Max length6
Median length2
Mean length2.0764331
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 305
97.1%
공영(부설) 6
 
1.9%
민영 3
 
1.0%

Length

2024-03-14T11:07:38.607279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:38.734278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 305
97.1%
공영(부설 6
 
1.9%
민영 3
 
1.0%

주차장유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
노외
254 
노상
41 
부설
 
18
공영
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
노외 254
80.9%
노상 41
 
13.1%
부설 18
 
5.7%
공영 1
 
0.3%

Length

2024-03-14T11:07:38.823577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:39.171545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 254
80.9%
노상 41
 
13.1%
부설 18
 
5.7%
공영 1
 
0.3%

소재지지번주소
Text

Distinct313
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T11:07:39.474377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length16.742038
Min length10

Characters and Unicode

Total characters5257
Distinct characters147
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)99.4%

Sample

1st row전주시 완산구 고사동 11-8
2nd row전주시 덕진구 덕진동1가 1278-1
3rd row전주시 덕진구 진북동 434-34
4th row전주시 덕진구 금암동 456-12
5th row전주시 완산구 삼천동1가 632-5
ValueCountFrequency (%)
익산시 134
 
11.0%
전주시 76
 
6.2%
완산구 41
 
3.4%
덕진구 34
 
2.8%
장수군 28
 
2.3%
부안군 26
 
2.1%
고창군 23
 
1.9%
고창읍 15
 
1.2%
효자동3가 13
 
1.1%
부안읍 11
 
0.9%
Other values (515) 819
67.1%
2024-03-14T11:07:39.908749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
908
 
17.3%
1 278
 
5.3%
- 257
 
4.9%
산 239
 
4.5%
시 221
 
4.2%
리 197
 
3.7%
2 185
 
3.5%
3 145
 
2.8%
면 137
 
2.6%
익 134
 
2.5%
Other values (137) 2556
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2784
53.0%
Decimal Number 1308
24.9%
Space Separator 908
 
17.3%
Dash Punctuation 257
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 239
 
8.6%
시 221
 
7.9%
리 197
 
7.1%
면 137
 
4.9%
익 134
 
4.8%
동 128
 
4.6%
군 107
 
3.8%
구 83
 
3.0%
전 81
 
2.9%
읍 77
 
2.8%
Other values (125) 1380
49.6%
Decimal Number
ValueCountFrequency (%)
1 278
21.3%
2 185
14.1%
3 145
11.1%
6 127
9.7%
4 121
9.3%
5 108
 
8.3%
7 106
 
8.1%
8 89
 
6.8%
9 78
 
6.0%
0 71
 
5.4%
Space Separator
ValueCountFrequency (%)
908
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2784
53.0%
Common 2473
47.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 239
 
8.6%
시 221
 
7.9%
리 197
 
7.1%
면 137
 
4.9%
익 134
 
4.8%
동 128
 
4.6%
군 107
 
3.8%
구 83
 
3.0%
전 81
 
2.9%
읍 77
 
2.8%
Other values (125) 1380
49.6%
Common
ValueCountFrequency (%)
908
36.7%
1 278
 
11.2%
- 257
 
10.4%
2 185
 
7.5%
3 145
 
5.9%
6 127
 
5.1%
4 121
 
4.9%
5 108
 
4.4%
7 106
 
4.3%
8 89
 
3.6%
Other values (2) 149
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2784
53.0%
ASCII 2473
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
908
36.7%
1 278
 
11.2%
- 257
 
10.4%
2 185
 
7.5%
3 145
 
5.9%
6 127
 
5.1%
4 121
 
4.9%
5 108
 
4.4%
7 106
 
4.3%
8 89
 
3.6%
Other values (2) 149
 
6.0%
Hangul
ValueCountFrequency (%)
산 239
 
8.6%
시 221
 
7.9%
리 197
 
7.1%
면 137
 
4.9%
익 134
 
4.8%
동 128
 
4.6%
군 107
 
3.8%
구 83
 
3.0%
전 81
 
2.9%
읍 77
 
2.8%
Other values (125) 1380
49.6%

소재지도로명주소
Text

MISSING 

Distinct257
Distinct (%)94.8%
Missing43
Missing (%)13.7%
Memory size2.6 KiB
2024-03-14T11:07:40.208138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length14.538745
Min length1

Characters and Unicode

Total characters3940
Distinct characters197
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)93.4%

Sample

1st row전주시 완산구 팔달로 217-21
2nd row전주시 덕진구 덕진광장로 3
3rd row전주시 덕진구 숲정이5길 7
4th row전주시 덕진구 태진로 125-22
5th row전주시 완산구 상거마4길 24
ValueCountFrequency (%)
익산시 122
 
11.7%
전주시 76
 
7.3%
완산구 41
 
3.9%
덕진구 35
 
3.4%
부안군 25
 
2.4%
12
 
1.2%
장수군 12
 
1.2%
고창군 11
 
1.1%
부안읍 11
 
1.1%
성당면 10
 
1.0%
Other values (446) 685
65.9%
2024-03-14T11:07:40.573842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
771
19.6%
산 215
 
5.5%
시 204
 
5.2%
1 188
 
4.8%
길 184
 
4.7%
익 124
 
3.1%
면 117
 
3.0%
2 110
 
2.8%
로 91
 
2.3%
3 88
 
2.2%
Other values (187) 1848
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2358
59.8%
Space Separator 771
 
19.6%
Decimal Number 730
 
18.5%
Dash Punctuation 81
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 215
 
9.1%
시 204
 
8.7%
길 184
 
7.8%
익 124
 
5.3%
면 117
 
5.0%
로 91
 
3.9%
전 88
 
3.7%
주 80
 
3.4%
구 79
 
3.4%
군 61
 
2.6%
Other values (175) 1115
47.3%
Decimal Number
ValueCountFrequency (%)
1 188
25.8%
2 110
15.1%
3 88
12.1%
7 64
 
8.8%
6 57
 
7.8%
4 53
 
7.3%
5 52
 
7.1%
9 40
 
5.5%
8 40
 
5.5%
0 38
 
5.2%
Space Separator
ValueCountFrequency (%)
771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2358
59.8%
Common 1582
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 215
 
9.1%
시 204
 
8.7%
길 184
 
7.8%
익 124
 
5.3%
면 117
 
5.0%
로 91
 
3.9%
전 88
 
3.7%
주 80
 
3.4%
구 79
 
3.4%
군 61
 
2.6%
Other values (175) 1115
47.3%
Common
ValueCountFrequency (%)
771
48.7%
1 188
 
11.9%
2 110
 
7.0%
3 88
 
5.6%
- 81
 
5.1%
7 64
 
4.0%
6 57
 
3.6%
4 53
 
3.4%
5 52
 
3.3%
9 40
 
2.5%
Other values (2) 78
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2358
59.8%
ASCII 1582
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
771
48.7%
1 188
 
11.9%
2 110
 
7.0%
3 88
 
5.6%
- 81
 
5.1%
7 64
 
4.0%
6 57
 
3.6%
4 53
 
3.4%
5 52
 
3.3%
9 40
 
2.5%
Other values (2) 78
 
4.9%
Hangul
ValueCountFrequency (%)
산 215
 
9.1%
시 204
 
8.7%
길 184
 
7.8%
익 124
 
5.3%
면 117
 
5.0%
로 91
 
3.9%
전 88
 
3.7%
주 80
 
3.4%
구 79
 
3.4%
군 61
 
2.6%
Other values (175) 1115
47.3%

주차구획수
Text

Distinct113
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T11:07:40.834144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.1178344
Min length1

Characters and Unicode

Total characters665
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

Unique48 ?
Unique (%)15.3%

Sample

1st row198
2nd row33
3rd row78
4th row68
5th row194
ValueCountFrequency (%)
15 23
 
7.3%
20 11
 
3.5%
30 10
 
3.2%
50 9
 
2.9%
17 9
 
2.9%
70 8
 
2.5%
12 8
 
2.5%
28 8
 
2.5%
45 7
 
2.2%
25 6
 
1.9%
Other values (103) 215
68.5%
2024-03-14T11:07:41.252831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 117
17.6%
2 96
14.4%
0 86
12.9%
5 75
11.3%
3 63
9.5%
4 61
9.2%
8 46
 
6.9%
7 45
 
6.8%
6 41
 
6.2%
9 33
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 663
99.7%
Other Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 117
17.6%
2 96
14.5%
0 86
13.0%
5 75
11.3%
3 63
9.5%
4 61
9.2%
8 46
 
6.9%
7 45
 
6.8%
6 41
 
6.2%
9 33
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 665
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 117
17.6%
2 96
14.4%
0 86
12.9%
5 75
11.3%
3 63
9.5%
4 61
9.2%
8 46
 
6.9%
7 45
 
6.8%
6 41
 
6.2%
9 33
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 117
17.6%
2 96
14.4%
0 86
12.9%
5 75
11.3%
3 63
9.5%
4 61
9.2%
8 46
 
6.9%
7 45
 
6.8%
6 41
 
6.2%
9 33
 
5.0%

급지구분
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2
96 
4
95 
1
73 
3
37 
없음
 
9
Other values (2)
 
4

Length

Max length4
Median length1
Mean length1.0573248
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
2 96
30.6%
4 95
30.3%
1 73
23.2%
3 37
 
11.8%
없음 9
 
2.9%
교통혼잡 3
 
1.0%
X 1
 
0.3%

Length

2024-03-14T11:07:41.376951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:41.485927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 96
30.6%
4 95
30.3%
1 73
23.2%
3 37
 
11.8%
없음 9
 
2.9%
교통혼잡 3
 
1.0%
x 1
 
0.3%

부제시행구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
미시행
278 
〃
 
26
없음
 
9
X
 
1

Length

Max length3
Median length3
Mean length2.7993631
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 278
88.5%
〃 26
 
8.3%
없음 9
 
2.9%
X 1
 
0.3%

Length

2024-03-14T11:07:41.596398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:41.687275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 278
88.5%
〃 26
 
8.3%
없음 9
 
2.9%
x 1
 
0.3%

운영요일
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
평일+토요일+공휴일
266 
〃
 
26
평일+공휴일
 
11
연중
 
10
매일
 
1

Length

Max length10
Median length10
Mean length8.8343949
Min length1

Unique

Unique1 ?
Unique (%)0.3%

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 266
84.7%
〃 26
 
8.3%
평일+공휴일 11
 
3.5%
연중 10
 
3.2%
매일 1
 
0.3%

Length

2024-03-14T11:07:41.786786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:41.883209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 266
84.7%
〃 26
 
8.3%
평일+공휴일 11
 
3.5%
연중 10
 
3.2%
매일 1
 
0.3%

평일운영시작시각
Categorical

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
9:00
134 
0:00
119 
<NA>
33 
〃
26 
전일운영
 
1

Length

Max length7
Median length4
Mean length3.7611465
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
9:00 134
42.7%
0:00 119
37.9%
<NA> 33
 
10.5%
〃 26
 
8.3%
전일운영 1
 
0.3%
0:00:00 1
 
0.3%

Length

2024-03-14T11:07:42.013238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:42.114503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 134
42.7%
0:00 119
37.9%
na 33
 
10.5%
〃 26
 
8.3%
전일운영 1
 
0.3%
0:00:00 1
 
0.3%

평일운영종료시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
24:00:00
253 
<NA>
34 
〃
26 
24:00:00 AM
 
1

Length

Max length11
Median length8
Mean length6.9968153
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row24:00:00
2nd row24:00:00
3rd row24:00:00
4th row24:00:00
5th row24:00:00

Common Values

ValueCountFrequency (%)
24:00:00 253
80.6%
<NA> 34
 
10.8%
〃 26
 
8.3%
24:00:00 AM 1
 
0.3%

Length

2024-03-14T11:07:42.219196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:42.302952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:00:00 254
80.6%
na 34
 
10.8%
〃 26
 
8.3%
am 1
 
0.3%

토요일운영시작시각
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
9:00
134 
0:00
119 
<NA>
34 
〃
26 
0:00:00
 
1

Length

Max length7
Median length4
Mean length3.7611465
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
9:00 134
42.7%
0:00 119
37.9%
<NA> 34
 
10.8%
〃 26
 
8.3%
0:00:00 1
 
0.3%

Length

2024-03-14T11:07:42.395224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:42.484858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 134
42.7%
0:00 119
37.9%
na 34
 
10.8%
〃 26
 
8.3%
0:00:00 1
 
0.3%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
24:00:00
253 
<NA>
34 
〃
26 
24:00:00 AM
 
1

Length

Max length11
Median length8
Mean length6.9968153
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row24:00:00
2nd row24:00:00
3rd row24:00:00
4th row24:00:00
5th row24:00:00

Common Values

ValueCountFrequency (%)
24:00:00 253
80.6%
<NA> 34
 
10.8%
〃 26
 
8.3%
24:00:00 AM 1
 
0.3%

Length

2024-03-14T11:07:42.576670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:42.656970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:00:00 254
80.6%
na 34
 
10.8%
〃 26
 
8.3%
am 1
 
0.3%

공휴일운영시작시각
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
9:00
134 
0:00
119 
<NA>
34 
〃
26 
0:00:00
 
1

Length

Max length7
Median length4
Mean length3.7611465
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
9:00 134
42.7%
0:00 119
37.9%
<NA> 34
 
10.8%
〃 26
 
8.3%
0:00:00 1
 
0.3%

Length

2024-03-14T11:07:42.746835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:42.833816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 134
42.7%
0:00 119
37.9%
na 34
 
10.8%
〃 26
 
8.3%
0:00:00 1
 
0.3%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
24:00:00
253 
<NA>
34 
〃
26 
24:00:00 AM
 
1

Length

Max length11
Median length8
Mean length6.9968153
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row24:00:00
2nd row24:00:00
3rd row24:00:00
4th row24:00:00
5th row24:00:00

Common Values

ValueCountFrequency (%)
24:00:00 253
80.6%
<NA> 34
 
10.8%
〃 26
 
8.3%
24:00:00 AM 1
 
0.3%

Length

2024-03-14T11:07:42.926748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:43.026444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:00:00 254
80.6%
na 34
 
10.8%
〃 26
 
8.3%
am 1
 
0.3%

요금정보
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
무료
271 
〃
 
26
유료
 
11
혼합
 
6

Length

Max length2
Median length2
Mean length1.9171975
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 271
86.3%
〃 26
 
8.3%
유료 11
 
3.5%
혼합 6
 
1.9%

Length

2024-03-14T11:07:43.163895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:43.251043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 271
86.3%
〃 26
 
8.3%
유료 11
 
3.5%
혼합 6
 
1.9%

주차기본시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
265 
-
 
23
30
 
13
없음
 
9
60
 
3

Length

Max length4
Median length4
Mean length3.6146497
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
<NA> 265
84.4%
- 23
 
7.3%
30 13
 
4.1%
없음 9
 
2.9%
60 3
 
1.0%
24 1
 
0.3%

Length

2024-03-14T11:07:43.379165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:43.480791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
84.4%
23
 
7.3%
30 13
 
4.1%
없음 9
 
2.9%
60 3
 
1.0%
24 1
 
0.3%

주차기본요금
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
265 
-
 
23
500
 
10
무료
 
9
1,000
 
4
Other values (2)
 
3

Length

Max length5
Median length4
Mean length3.6878981
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row600
2nd row600
3rd row500
4th row500
5th row500

Common Values

ValueCountFrequency (%)
<NA> 265
84.4%
- 23
 
7.3%
500 10
 
3.2%
무료 9
 
2.9%
1,000 4
 
1.3%
600 2
 
0.6%
0 1
 
0.3%

Length

2024-03-14T11:07:43.609554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:43.711978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
84.4%
23
 
7.3%
500 10
 
3.2%
무료 9
 
2.9%
1,000 4
 
1.3%
600 2
 
0.6%
0 1
 
0.3%

추가단위시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
266 
-
 
23
15
 
12
없음
 
9
10
 
3

Length

Max length4
Median length4
Mean length3.6178344
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row15

Common Values

ValueCountFrequency (%)
<NA> 266
84.7%
- 23
 
7.3%
15 12
 
3.8%
없음 9
 
2.9%
10 3
 
1.0%
0 1
 
0.3%

Length

2024-03-14T11:07:43.818394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:43.906035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
84.7%
23
 
7.3%
15 12
 
3.8%
없음 9
 
2.9%
10 3
 
1.0%
0 1
 
0.3%

추가단위요금
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
266 
-
 
23
무료
 
9
250
 
7
500
 
3
Other values (3)
 
6

Length

Max length4
Median length4
Mean length3.6656051
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row300
2nd row300
3rd row250
4th row250
5th row250

Common Values

ValueCountFrequency (%)
<NA> 266
84.7%
- 23
 
7.3%
무료 9
 
2.9%
250 7
 
2.2%
500 3
 
1.0%
200 3
 
1.0%
300 2
 
0.6%
0 1
 
0.3%

Length

2024-03-14T11:07:44.001398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:44.102948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
84.7%
23
 
7.3%
무료 9
 
2.9%
250 7
 
2.2%
500 3
 
1.0%
200 3
 
1.0%
300 2
 
0.6%
0 1
 
0.3%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
266 
-
 
23
없음
 
9
240
 
7
360
 
3
Other values (3)
 
6

Length

Max length4
Median length4
Mean length3.6464968
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row300
2nd row300
3rd row240
4th row240
5th row240

Common Values

ValueCountFrequency (%)
<NA> 266
84.7%
- 23
 
7.3%
없음 9
 
2.9%
240 7
 
2.2%
360 3
 
1.0%
8 3
 
1.0%
300 2
 
0.6%
0 1
 
0.3%

Length

2024-03-14T11:07:44.217040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:44.337134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
84.7%
23
 
7.3%
없음 9
 
2.9%
240 7
 
2.2%
360 3
 
1.0%
8 3
 
1.0%
300 2
 
0.6%
0 1
 
0.3%

1일주차권요금
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
265 
-
 
23
무료
 
9
4,000
 
7
12,000
 
3
Other values (4)
 
7

Length

Max length6
Median length4
Mean length3.7738854
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 265
84.4%
- 23
 
7.3%
무료 9
 
2.9%
4,000 7
 
2.2%
12,000 3
 
1.0%
5,000 3
 
1.0%
6,000 2
 
0.6%
1,000 1
 
0.3%
0 1
 
0.3%

Length

2024-03-14T11:07:44.453463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:44.554559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 265
84.4%
23
 
7.3%
무료 9
 
2.9%
4,000 7
 
2.2%
12,000 3
 
1.0%
5,000 3
 
1.0%
6,000 2
 
0.6%
1,000 1
 
0.3%
0 1
 
0.3%

월정기권요금
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
270 
-
 
23
없음
 
9
35,000
 
7
30,000
 
3
Other values (2)
 
2

Length

Max length6
Median length4
Mean length3.7834395
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row35,000
4th row35,000
5th row35,000

Common Values

ValueCountFrequency (%)
<NA> 270
86.0%
- 23
 
7.3%
없음 9
 
2.9%
35,000 7
 
2.2%
30,000 3
 
1.0%
0 1
 
0.3%
45,000 1
 
0.3%

Length

2024-03-14T11:07:44.659153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:44.749859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 270
86.0%
23
 
7.3%
없음 9
 
2.9%
35,000 7
 
2.2%
30,000 3
 
1.0%
0 1
 
0.3%
45,000 1
 
0.3%

결제방법
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
264 
-
 
23
현금
 
11
없음
 
9
현금, 신용카드
 
5
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.7101911
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row현금, 신용카드
2nd row신용카드
3rd row현금
4th row현금
5th row현금

Common Values

ValueCountFrequency (%)
<NA> 264
84.1%
- 23
 
7.3%
현금 11
 
3.5%
없음 9
 
2.9%
현금, 신용카드 5
 
1.6%
신용카드 1
 
0.3%
무료 1
 
0.3%

Length

2024-03-14T11:07:44.850442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:44.945131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
82.8%
23
 
7.2%
현금 16
 
5.0%
없음 9
 
2.8%
신용카드 6
 
1.9%
무료 1
 
0.3%

특기사항
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
268 
-
 
23
경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/
 
13
없음
 
9
X
 
1

Length

Max length141
Median length4
Mean length9.3853503
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/
2nd row경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/
3rd row경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/
4th row경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/
5th row경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/

Common Values

ValueCountFrequency (%)
<NA> 268
85.4%
- 23
 
7.3%
경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/ 13
 
4.1%
없음 9
 
2.9%
X 1
 
0.3%

Length

2024-03-14T11:07:45.039555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:45.138405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 268
42.8%
전주시 39
 
6.2%
23
 
3.7%
면제(1일3시간이내,초과분 13
 
2.1%
50%(단3시간이내 13
 
2.1%
차량 13
 
2.1%
극장이용 13
 
2.1%
거리내 13
 
2.1%
영화의 13
 
2.1%
및 13
 
2.1%
Other values (17) 205
32.7%

관리기관명
Categorical

Distinct11
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
전라북도 익산시청
134 
전라북도 전주시 전주시설관리공단
76 
민원과
27 
전라북도 부안군청
26 
전라북도 고창군청
23 
Other values (6)
28 

Length

Max length17
Median length9
Mean length10.458599
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row전라북도 전주시 전주시설관리공단
2nd row전라북도 전주시 전주시설관리공단
3rd row전라북도 전주시 전주시설관리공단
4th row전라북도 전주시 전주시설관리공단
5th row전라북도 전주시 전주시설관리공단

Common Values

ValueCountFrequency (%)
전라북도 익산시청 134
42.7%
전라북도 전주시 전주시설관리공단 76
24.2%
민원과 27
 
8.6%
전라북도 부안군청 26
 
8.3%
전라북도 고창군청 23
 
7.3%
전라북도 진안군 9
 
2.9%
전라북도 순창군청 9
 
2.9%
전라북도 정읍시청 7
 
2.2%
임실군청 1
 
0.3%
대성주차장 1
 
0.3%

Length

2024-03-14T11:07:45.278636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 284
42.1%
익산시청 134
19.9%
전주시 76
 
11.3%
전주시설관리공단 76
 
11.3%
민원과 27
 
4.0%
부안군청 26
 
3.9%
고창군청 23
 
3.4%
진안군 9
 
1.3%
순창군청 9
 
1.3%
정읍시청 7
 
1.0%
Other values (4) 4
 
0.6%

연락처
Text

Distinct126
Distinct (%)40.3%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-03-14T11:07:45.577455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.642173
Min length8

Characters and Unicode

Total characters3644
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

Unique114 ?
Unique (%)36.4%

Sample

1st row063-239-2525
2nd row063-239-2562
3rd row063-239-2367
4th row063-239-2368
5th row063-239-2647
ValueCountFrequency (%)
063-239-2614 63
20.1%
063-859-5973 44
 
14.1%
350-2365 27
 
8.6%
063-560-2573 23
 
7.3%
063-580-4537 12
 
3.8%
063-650-1328 9
 
2.9%
063-539-5944 7
 
2.2%
063-430-2358 6
 
1.9%
063-859-3848 2
 
0.6%
063-855-2851 2
 
0.6%
Other values (116) 118
37.7%
2024-03-14T11:07:45.955502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 598
16.4%
3 592
16.2%
6 513
14.1%
0 417
11.4%
5 344
9.4%
2 285
7.8%
9 228
 
6.3%
8 222
 
6.1%
4 168
 
4.6%
1 156
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3046
83.6%
Dash Punctuation 598
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 592
19.4%
6 513
16.8%
0 417
13.7%
5 344
11.3%
2 285
9.4%
9 228
 
7.5%
8 222
 
7.3%
4 168
 
5.5%
1 156
 
5.1%
7 121
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 598
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 598
16.4%
3 592
16.2%
6 513
14.1%
0 417
11.4%
5 344
9.4%
2 285
7.8%
9 228
 
6.3%
8 222
 
6.1%
4 168
 
4.6%
1 156
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 598
16.4%
3 592
16.2%
6 513
14.1%
0 417
11.4%
5 344
9.4%
2 285
7.8%
9 228
 
6.3%
8 222
 
6.1%
4 168
 
4.6%
1 156
 
4.3%

위도(WGS84좌표)
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)100.0%
Missing140
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean35.913264
Minimum35.341175
Maximum36.140536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-14T11:07:46.076514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.341175
5-th percentile35.433425
Q135.92022
median35.963782
Q336.071404
95-th percentile36.126213
Maximum36.140536
Range0.799361
Interquartile range (IQR)0.151184

Descriptive statistics

Standard deviation0.2223873
Coefficient of variation (CV)0.0061923445
Kurtosis0.38760157
Mean35.913264
Median Absolute Deviation (MAD)0.1008535
Skewness-1.2988138
Sum6248.9079
Variance0.049456112
MonotonicityNot monotonic
2024-03-14T11:07:46.209694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.136989 1
 
0.3%
35.962963 1
 
0.3%
35.992561 1
 
0.3%
36.035957 1
 
0.3%
36.04369 1
 
0.3%
36.021087 1
 
0.3%
36.025581 1
 
0.3%
36.015227 1
 
0.3%
36.058621 1
 
0.3%
36.066972 1
 
0.3%
Other values (164) 164
52.2%
(Missing) 140
44.6%
ValueCountFrequency (%)
35.341175 1
0.3%
35.37763 1
0.3%
35.37825 1
0.3%
35.42718 1
0.3%
35.430131 1
0.3%
35.432254 1
0.3%
35.432554 1
0.3%
35.432575 1
0.3%
35.432859 1
0.3%
35.433729 1
0.3%
ValueCountFrequency (%)
36.140536 1
0.3%
36.136989 1
0.3%
36.136971 1
0.3%
36.135622 1
0.3%
36.13507 1
0.3%
36.129486 1
0.3%
36.129069 1
0.3%
36.129003 1
0.3%
36.126607 1
0.3%
36.126001 1
0.3%

경도(WGS84좌표)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)99.4%
Missing140
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean126.95594
Minimum126.49159
Maximum127.42932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-14T11:07:46.339788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49159
5-th percentile126.69773
Q1126.90266
median126.95844
Q3127.01807
95-th percentile127.32656
Maximum127.42932
Range0.937726
Interquartile range (IQR)0.1154045

Descriptive statistics

Standard deviation0.16666062
Coefficient of variation (CV)0.0013127437
Kurtosis2.4577972
Mean126.95594
Median Absolute Deviation (MAD)0.0573415
Skewness0.37247661
Sum22090.333
Variance0.027775761
MonotonicityNot monotonic
2024-03-14T11:07:46.455017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.69785 2
 
0.6%
127.033185 1
 
0.3%
126.990152 1
 
0.3%
126.9868 1
 
0.3%
127.016873 1
 
0.3%
126.911888 1
 
0.3%
126.898219 1
 
0.3%
126.90219 1
 
0.3%
126.912347 1
 
0.3%
126.895302 1
 
0.3%
Other values (163) 163
51.9%
(Missing) 140
44.6%
ValueCountFrequency (%)
126.491594 1
0.3%
126.511354 1
0.3%
126.512699 1
0.3%
126.541408 1
0.3%
126.587476 1
0.3%
126.603464 1
0.3%
126.695397 1
0.3%
126.695999 1
0.3%
126.697512 1
0.3%
126.69785 2
0.6%
ValueCountFrequency (%)
127.42932 1
0.3%
127.4292 1
0.3%
127.42918 1
0.3%
127.42572 1
0.3%
127.42561 1
0.3%
127.4256 1
0.3%
127.42459 1
0.3%
127.42361 1
0.3%
127.41365 1
0.3%
127.279672 1
0.3%

데이터기준일자
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2015-08-24
143 
2015-09-30
87 
2015년 8월말
27 
2015-08-30
26 
2015-08-31
23 
Other values (2)
 
8

Length

Max length10
Median length10
Mean length9.9140127
Min length9

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row2015-09-30
2nd row2015-09-30
3rd row2015-09-30
4th row2015-09-30
5th row2015-09-30

Common Values

ValueCountFrequency (%)
2015-08-24 143
45.5%
2015-09-30 87
27.7%
2015년 8월말 27
 
8.6%
2015-08-30 26
 
8.3%
2015-08-31 23
 
7.3%
2015-08-26 7
 
2.2%
2015.08.31 1
 
0.3%

Length

2024-03-14T11:07:46.558035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:07:46.886865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-08-24 143
41.9%
2015-09-30 87
25.5%
2015년 27
 
7.9%
8월말 27
 
7.9%
2015-08-30 26
 
7.6%
2015-08-31 23
 
6.7%
2015-08-26 7
 
2.1%
2015.08.31 1
 
0.3%

Sample

시군주차장관리번호주차장명주차장구분주차장유형소재지지번주소소재지도로명주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명연락처위도(WGS84좌표)경도(WGS84좌표)데이터기준일자
0전주시100-2-00001오거리공영노외전주시 완산구 고사동 11-8전주시 완산구 팔달로 217-211981미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00유료30600153003006,000<NA>현금, 신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2525<NA><NA>2015-09-30
1전주시100-2-00002덕진광장공영노외전주시 덕진구 덕진동1가 1278-1전주시 덕진구 덕진광장로 3331미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00유료30600153003006,000<NA>신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2562<NA><NA>2015-09-30
2전주시100-2-00003건산천1공영노외전주시 덕진구 진북동 434-34전주시 덕진구 숲정이5길 7782미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00혼합30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2367<NA><NA>2015-09-30
3전주시100-2-00004건산천2공영노외전주시 덕진구 금암동 456-12전주시 덕진구 태진로 125-22682미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00혼합30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2368<NA><NA>2015-09-30
4전주시100-2-00005삼천2동공영노외전주시 완산구 삼천동1가 632-5전주시 완산구 상거마4길 241942미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00유료30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2647<NA><NA>2015-09-30
5전주시100-2-00006중화산2동공영노외전주시 완산구 중화산동2가 486-2전주시 완산구 신촌3길 28-4892미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00유료30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2597<NA><NA>2015-09-30
6전주시100-2-00007서신동공영노외전주시 완산구 서신동 795전주시 완산구 당산로 561312미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00유료30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-239-2572<NA><NA>2015-09-30
7전주시100-1-00008한옥마을노상공영노상전주시 완산구 남노송동 100-1전주시 완산구 기린대로 99256교통혼잡미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00혼합301,0001550036012,000<NA>현금, 신용카드경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-288-9832<NA><NA>2015-09-30
8전주시100-3-00009종합경기장공영부설전주시 덕진구 덕진동1가 1220전주시 덕진구 기린대로 4516382미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00혼합30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-251-1262<NA><NA>2015-09-30
9전주시100-3-00010실내체육관공영부설전주시 덕진구 덕진동1가 664-14전주시 덕진구 권삼득로 3081502미시행평일+토요일+공휴일0:0024:00:000:0024:00:000:0024:00:00혼합30500152502404,00035,000현금경차, 장애인, 저공해, 다자녀, 전주시 장기기증 등록증, 전주시 의사상자 증서, 전주시 병역명문가증 50%할인, 국가보훈대상자 면제(1일3시간이내,초과분 50%경감), 걷고싶은거리 구역내 상가이용 및 영화의 거리내 극장이용 차량 50%(단3시간이내)/전라북도 전주시 전주시설관리공단063-251-1264<NA><NA>2015-09-30
시군주차장관리번호주차장명주차장구분주차장유형소재지지번주소소재지도로명주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명연락처위도(WGS84좌표)경도(WGS84좌표)데이터기준일자
304부안군319-2-00017오정임시공영주차장공영노외부안군 부안읍 서외리 31-3부안군 부안읍 오정1길 27504미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4537<NA><NA>2015-08-30
305부안군319-2-00018격포항주차장공영부설부안군 변산면 격포리 788-19부안군 변산면 격포중앙길 28-102294미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4489<NA><NA>2015-08-30
306부안군319-2-00019모항해수욕장주차장공영노외부안군 변산면 도청리 172부안군 변산면 모항길 23-12664미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4737<NA><NA>2015-08-30
307부안군319-2-00020부안군보건소주차장공영부설부안군 부안읍 봉덕리 551-2부안군 부안읍 오리정로 124844미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4738<NA><NA>2015-08-30
308부안군319-2-00021부안스포츠파크주차장공영부설부안군 행안면 진동리 1130<NA>10924미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4691<NA><NA>2015-08-30
309부안군319-2-00022부안누에타운주차장공영부설부안군 변산면 마포리 87-26부안군 변산면 참뽕로 434-20934미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4616<NA><NA>2015-08-30
310부안군319-2-00023부안영상테마파크주차장공영부설부안군 변산면 격포리 802-7부안군 변산면 격포로 309-642494미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4361<NA><NA>2015-08-30
311부안군319-2-00024부안청자박물관주차장공영부설부안군 보안면 유천리 798-4부안군 보안면 청자로 1493784미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-3962<NA><NA>2015-08-30
312부안군319-2-00025부안자연생태공원주차장공영부설부안군 줄포면 우포리 513부안군 줄포면 생태공원길 381174미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-3176<NA><NA>2015-08-30
313부안군319-2-00026변산해수욕장주차장공영노외부안군 변산면 대항리 411-3부안군 변산면 방포길 53064미시행평일+토요일+공휴일<NA><NA><NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA><NA>전라북도 부안군청063-580-4738<NA><NA>2015-08-30