Overview

Dataset statistics

Number of variables31
Number of observations344
Missing cells295
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.8 KiB
Average record size in memory252.4 B

Variable types

Text5
Categorical23
Numeric3

Dataset

Description2023년 12월 31일 기준 광주광역시 공영주차장 현황으로 소재지 위치, 주차구획수, 요금 급지 및 요금체계, 기타 운영사항 등의 정보를 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3043284/fileData.do

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전기충전연속 is highly imbalanced (72.8%)Imbalance
운영요일 is highly imbalanced (86.2%)Imbalance
평일운영시작시각 is highly imbalanced (71.0%)Imbalance
평일운영종료시각 is highly imbalanced (72.0%)Imbalance
토요일운영시작시각 is highly imbalanced (74.5%)Imbalance
토요일운영종료시각 is highly imbalanced (75.2%)Imbalance
공휴일운영시작시각 is highly imbalanced (73.4%)Imbalance
공휴일운영종료시각 is highly imbalanced (74.8%)Imbalance
주차기본시간 is highly imbalanced (68.8%)Imbalance
주차기본요금 is highly imbalanced (69.7%)Imbalance
추가단위시간 is highly imbalanced (67.0%)Imbalance
추가단위요금 is highly imbalanced (68.5%)Imbalance
1일주차권요금적용시간 is highly imbalanced (59.0%)Imbalance
1일주차권요금 is highly imbalanced (67.2%)Imbalance
월정기권요금 is highly imbalanced (68.9%)Imbalance
결제방법 is highly imbalanced (57.6%)Imbalance
소재지도로명주소 has 16 (4.7%) missing valuesMissing
특기사항 has 278 (80.8%) missing valuesMissing
장애인 has 165 (48.0%) zerosZeros
여성 has 238 (69.2%) zerosZeros
전기충전급속 has 314 (91.3%) zerosZeros

Reproduction

Analysis started2024-03-14 14:35:20.923072
Analysis finished2024-03-14 14:35:21.942339
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

Distinct343
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T23:35:22.768567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length11.104651
Min length4

Characters and Unicode

Total characters3820
Distinct characters259
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

Unique342 ?
Unique (%)99.4%

Sample

1st row산수1동 제3주차장
2nd row산수도서관 주변
3rd row계림동 공영주차장
4th row계림동 (거주자 우선)
5th row충장로상점가 공영주차장
ValueCountFrequency (%)
주차장 84
 
12.5%
공영주차장 64
 
9.5%
앞 21
 
3.1%
행정복지센터 18
 
2.7%
주민센터 13
 
1.9%
옆 11
 
1.6%
계림동 5
 
0.7%
쌈지주차장 5
 
0.7%
지산동 4
 
0.6%
서석동 4
 
0.6%
Other values (396) 445
66.0%
2024-03-14T23:35:24.191787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
 
8.9%
주 330
 
8.6%
장 293
 
7.7%
차 270
 
7.1%
동 200
 
5.2%
지 127
 
3.3%
공 118
 
3.1%
영 100
 
2.6%
터 83
 
2.2%
센 82
 
2.1%
Other values (249) 1876
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3246
85.0%
Space Separator 341
 
8.9%
Decimal Number 144
 
3.8%
Close Punctuation 36
 
0.9%
Open Punctuation 36
 
0.9%
Uppercase Letter 11
 
0.3%
Other Punctuation 4
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 330
 
10.2%
장 293
 
9.0%
차 270
 
8.3%
동 200
 
6.2%
지 127
 
3.9%
공 118
 
3.6%
영 100
 
3.1%
터 83
 
2.6%
센 82
 
2.5%
정 58
 
1.8%
Other values (227) 1585
48.8%
Decimal Number
ValueCountFrequency (%)
1 50
34.7%
2 47
32.6%
3 23
16.0%
5 8
 
5.6%
4 5
 
3.5%
8 4
 
2.8%
0 4
 
2.8%
9 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
27.3%
T 2
18.2%
A 2
18.2%
K 2
18.2%
C 1
 
9.1%
I 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
341
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3246
85.0%
Common 561
 
14.7%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 330
 
10.2%
장 293
 
9.0%
차 270
 
8.3%
동 200
 
6.2%
지 127
 
3.9%
공 118
 
3.6%
영 100
 
3.1%
터 83
 
2.6%
센 82
 
2.5%
정 58
 
1.8%
Other values (227) 1585
48.8%
Common
ValueCountFrequency (%)
341
60.8%
1 50
 
8.9%
2 47
 
8.4%
) 36
 
6.4%
( 36
 
6.4%
3 23
 
4.1%
5 8
 
1.4%
4 5
 
0.9%
8 4
 
0.7%
0 4
 
0.7%
Other values (5) 7
 
1.2%
Latin
ValueCountFrequency (%)
B 3
23.1%
c 2
15.4%
T 2
15.4%
A 2
15.4%
K 2
15.4%
C 1
 
7.7%
I 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3246
85.0%
ASCII 574
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
59.4%
1 50
 
8.7%
2 47
 
8.2%
) 36
 
6.3%
( 36
 
6.3%
3 23
 
4.0%
5 8
 
1.4%
4 5
 
0.9%
8 4
 
0.7%
0 4
 
0.7%
Other values (12) 20
 
3.5%
Hangul
ValueCountFrequency (%)
주 330
 
10.2%
장 293
 
9.0%
차 270
 
8.3%
동 200
 
6.2%
지 127
 
3.9%
공 118
 
3.6%
영 100
 
3.1%
터 83
 
2.6%
센 82
 
2.5%
정 58
 
1.8%
Other values (227) 1585
48.8%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공영
344 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 344
100.0%

Length

2024-03-14T23:35:24.420128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:24.621901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 344
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
노외
216 
부설
83 
노상
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 216
62.8%
부설 83
 
24.1%
노상 45
 
13.1%

Length

2024-03-14T23:35:24.853353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:25.030482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 216
62.8%
부설 83
 
24.1%
노상 45
 
13.1%

소재지도로명주소
Text

MISSING 

Distinct314
Distinct (%)95.7%
Missing16
Missing (%)4.7%
Memory size2.8 KiB
2024-03-14T23:35:26.383873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length19.612805
Min length13

Characters and Unicode

Total characters6433
Distinct characters182
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)91.8%

Sample

1st row광주광역시 동구 경양로 309-6
2nd row광주광역시 동구 경양로 355
3rd row광주광역시 동구 경양로235번길 4
4th row광주광역시 동구 경양로277번길 23-2
5th row광주광역시 동구 구성로 172-2
ValueCountFrequency (%)
광주광역시 327
23.7%
동구 91
 
6.6%
북구 77
 
5.6%
서구 70
 
5.1%
광산구 60
 
4.4%
남구 28
 
2.0%
10 13
 
0.9%
7 11
 
0.8%
오선동 7
 
0.5%
25 6
 
0.4%
Other values (495) 689
50.0%
2024-03-14T23:35:28.042426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1059
16.5%
광 724
 
11.3%
주 340
 
5.3%
시 331
 
5.1%
구 330
 
5.1%
역 328
 
5.1%
로 288
 
4.5%
1 258
 
4.0%
동 200
 
3.1%
2 197
 
3.1%
Other values (172) 2378
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4093
63.6%
Decimal Number 1175
 
18.3%
Space Separator 1059
 
16.5%
Dash Punctuation 78
 
1.2%
Open Punctuation 13
 
0.2%
Close Punctuation 13
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 724
17.7%
주 340
 
8.3%
시 331
 
8.1%
구 330
 
8.1%
역 328
 
8.0%
로 288
 
7.0%
동 200
 
4.9%
길 171
 
4.2%
번 155
 
3.8%
산 109
 
2.7%
Other values (156) 1117
27.3%
Decimal Number
ValueCountFrequency (%)
1 258
22.0%
2 197
16.8%
3 147
12.5%
5 96
 
8.2%
8 86
 
7.3%
7 86
 
7.3%
4 82
 
7.0%
0 82
 
7.0%
6 74
 
6.3%
9 67
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
1059
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4093
63.6%
Common 2340
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 724
17.7%
주 340
 
8.3%
시 331
 
8.1%
구 330
 
8.1%
역 328
 
8.0%
로 288
 
7.0%
동 200
 
4.9%
길 171
 
4.2%
번 155
 
3.8%
산 109
 
2.7%
Other values (156) 1117
27.3%
Common
ValueCountFrequency (%)
1059
45.3%
1 258
 
11.0%
2 197
 
8.4%
3 147
 
6.3%
5 96
 
4.1%
8 86
 
3.7%
7 86
 
3.7%
4 82
 
3.5%
0 82
 
3.5%
- 78
 
3.3%
Other values (6) 169
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4093
63.6%
ASCII 2339
36.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1059
45.3%
1 258
 
11.0%
2 197
 
8.4%
3 147
 
6.3%
5 96
 
4.1%
8 86
 
3.7%
7 86
 
3.7%
4 82
 
3.5%
0 82
 
3.5%
- 78
 
3.3%
Other values (5) 168
 
7.2%
Hangul
ValueCountFrequency (%)
광 724
17.7%
주 340
 
8.3%
시 331
 
8.1%
구 330
 
8.1%
역 328
 
8.0%
로 288
 
7.0%
동 200
 
4.9%
길 171
 
4.2%
번 155
 
3.8%
산 109
 
2.7%
Other values (156) 1117
27.3%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct327
Distinct (%)95.3%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-03-14T23:35:29.011945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length18.865889
Min length14

Characters and Unicode

Total characters6471
Distinct characters152
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)91.3%

Sample

1st row광주광역시 동구 산수동 489-15
2nd row광주광역시 동구 산수1동 401-58
3rd row광주광역시 동구 계림동 489-25
4th row광주광역시 동구 계림동 280
5th row광주광역시 동구 충장로5가 25번지
ValueCountFrequency (%)
광주광역시 343
24.4%
동구 91
 
6.5%
북구 82
 
5.8%
서구 70
 
5.0%
광산구 60
 
4.3%
남구 40
 
2.8%
중흥동 11
 
0.8%
치평동 11
 
0.8%
계림동 11
 
0.8%
화정동 10
 
0.7%
Other values (445) 678
48.2%
2024-03-14T23:35:30.230263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1079
16.7%
광 752
 
11.6%
동 460
 
7.1%
주 363
 
5.6%
구 346
 
5.3%
시 345
 
5.3%
역 344
 
5.3%
1 319
 
4.9%
- 244
 
3.8%
2 178
 
2.8%
Other values (142) 2041
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3694
57.1%
Decimal Number 1408
 
21.8%
Space Separator 1079
 
16.7%
Dash Punctuation 244
 
3.8%
Close Punctuation 21
 
0.3%
Open Punctuation 21
 
0.3%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 752
20.4%
동 460
12.5%
주 363
9.8%
구 346
9.4%
시 345
9.3%
역 344
9.3%
산 110
 
3.0%
서 83
 
2.2%
북 82
 
2.2%
남 49
 
1.3%
Other values (125) 760
20.6%
Decimal Number
ValueCountFrequency (%)
1 319
22.7%
2 178
12.6%
3 149
10.6%
5 129
9.2%
8 114
 
8.1%
4 114
 
8.1%
0 111
 
7.9%
9 107
 
7.6%
6 98
 
7.0%
7 89
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
1079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3694
57.1%
Common 2777
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 752
20.4%
동 460
12.5%
주 363
9.8%
구 346
9.4%
시 345
9.3%
역 344
9.3%
산 110
 
3.0%
서 83
 
2.2%
북 82
 
2.2%
남 49
 
1.3%
Other values (125) 760
20.6%
Common
ValueCountFrequency (%)
1079
38.9%
1 319
 
11.5%
- 244
 
8.8%
2 178
 
6.4%
3 149
 
5.4%
5 129
 
4.6%
8 114
 
4.1%
4 114
 
4.1%
0 111
 
4.0%
9 107
 
3.9%
Other values (7) 233
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3694
57.1%
ASCII 2777
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1079
38.9%
1 319
 
11.5%
- 244
 
8.8%
2 178
 
6.4%
3 149
 
5.4%
5 129
 
4.6%
8 114
 
4.1%
4 114
 
4.1%
0 111
 
4.0%
9 107
 
3.9%
Other values (7) 233
 
8.4%
Hangul
ValueCountFrequency (%)
광 752
20.4%
동 460
12.5%
주 363
9.8%
구 346
9.4%
시 345
9.3%
역 344
9.3%
산 110
 
3.0%
서 83
 
2.2%
북 82
 
2.2%
남 49
 
1.3%
Other values (125) 760
20.6%

주차구획수
Text

Distinct95
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T23:35:31.169913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length1.9011628
Min length1

Characters and Unicode

Total characters654
Distinct characters14
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

Unique45 ?
Unique (%)13.1%

Sample

1st row9
2nd row35
3rd row3
4th row80
5th row38
ValueCountFrequency (%)
8 18
 
5.2%
9 16
 
4.7%
10 15
 
4.4%
7 13
 
3.8%
18 13
 
3.8%
12 12
 
3.5%
15 12
 
3.5%
11 11
 
3.2%
20 11
 
3.2%
14 11
 
3.2%
Other values (85) 212
61.6%
2024-03-14T23:35:32.296862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 148
22.6%
2 103
15.7%
8 64
9.8%
0 64
9.8%
5 53
 
8.1%
3 53
 
8.1%
4 52
 
8.0%
6 42
 
6.4%
9 40
 
6.1%
7 31
 
4.7%
Other values (4) 4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
99.4%
Other Letter 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 148
22.8%
2 103
15.8%
8 64
9.8%
0 64
9.8%
5 53
 
8.2%
3 53
 
8.2%
4 52
 
8.0%
6 42
 
6.5%
9 40
 
6.2%
7 31
 
4.8%
Other Letter
ValueCountFrequency (%)
폐 1
50.0%
지 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 652
99.7%
Hangul 2
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 148
22.7%
2 103
15.8%
8 64
9.8%
0 64
9.8%
5 53
 
8.1%
3 53
 
8.1%
4 52
 
8.0%
6 42
 
6.4%
9 40
 
6.1%
7 31
 
4.8%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
지 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 652
99.7%
Hangul 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 148
22.7%
2 103
15.8%
8 64
9.8%
0 64
9.8%
5 53
 
8.1%
3 53
 
8.1%
4 52
 
8.0%
6 42
 
6.4%
9 40
 
6.1%
7 31
 
4.8%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
지 1
50.0%

장애인
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3924419
Minimum0
Maximum65
Zeros165
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-03-14T23:35:32.658612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum65
Range65
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.6960129
Coefficient of variation (CV)3.372502
Kurtosis131.87101
Mean1.3924419
Median Absolute Deviation (MAD)1
Skewness10.797488
Sum479
Variance22.052537
MonotonicityNot monotonic
2024-03-14T23:35:33.026716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 165
48.0%
1 97
28.2%
2 40
 
11.6%
3 17
 
4.9%
4 12
 
3.5%
6 5
 
1.5%
8 2
 
0.6%
9 1
 
0.3%
65 1
 
0.3%
50 1
 
0.3%
Other values (3) 3
 
0.9%
ValueCountFrequency (%)
0 165
48.0%
1 97
28.2%
2 40
 
11.6%
3 17
 
4.9%
4 12
 
3.5%
5 1
 
0.3%
6 5
 
1.5%
7 1
 
0.3%
8 2
 
0.6%
9 1
 
0.3%
ValueCountFrequency (%)
65 1
 
0.3%
50 1
 
0.3%
21 1
 
0.3%
9 1
 
0.3%
8 2
 
0.6%
7 1
 
0.3%
6 5
 
1.5%
5 1
 
0.3%
4 12
3.5%
3 17
4.9%

여성
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43023256
Minimum0
Maximum8
Zeros238
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-03-14T23:35:33.376312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.86783397
Coefficient of variation (CV)2.0171276
Kurtosis26.643694
Mean0.43023256
Median Absolute Deviation (MAD)0
Skewness4.1061721
Sum148
Variance0.75313581
MonotonicityNot monotonic
2024-03-14T23:35:33.742643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 238
69.2%
1 83
 
24.1%
2 14
 
4.1%
3 6
 
1.7%
4 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
ValueCountFrequency (%)
0 238
69.2%
1 83
 
24.1%
2 14
 
4.1%
3 6
 
1.7%
4 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
3 6
 
1.7%
2 14
 
4.1%
1 83
 
24.1%
0 238
69.2%

전기충전급속
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14825581
Minimum0
Maximum6
Zeros314
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-03-14T23:35:34.140033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.62372658
Coefficient of variation (CV)4.2070969
Kurtosis50.149477
Mean0.14825581
Median Absolute Deviation (MAD)0
Skewness6.4115817
Sum51
Variance0.38903485
MonotonicityNot monotonic
2024-03-14T23:35:34.562620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 314
91.3%
1 20
 
5.8%
2 6
 
1.7%
6 2
 
0.6%
3 1
 
0.3%
4 1
 
0.3%
ValueCountFrequency (%)
0 314
91.3%
1 20
 
5.8%
2 6
 
1.7%
3 1
 
0.3%
4 1
 
0.3%
6 2
 
0.6%
ValueCountFrequency (%)
6 2
 
0.6%
4 1
 
0.3%
3 1
 
0.3%
2 6
 
1.7%
1 20
 
5.8%
0 314
91.3%

전기충전연속
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
307 
1
34 
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 307
89.2%
1 34
 
9.9%
2 2
 
0.6%
3 1
 
0.3%

Length

2024-03-14T23:35:34.967180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:35.355965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 307
89.2%
1 34
 
9.9%
2 2
 
0.6%
3 1
 
0.3%

급지구분
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
1급지
182 
3급지
103 
2급지
57 
4급지
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1급지
2nd row1급지
3rd row1급지
4th row1급지
5th row1급지

Common Values

ValueCountFrequency (%)
1급지 182
52.9%
3급지 103
29.9%
2급지 57
 
16.6%
4급지 2
 
0.6%

Length

2024-03-14T23:35:35.747202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:36.101374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1급지 182
52.9%
3급지 103
29.9%
2급지 57
 
16.6%
4급지 2
 
0.6%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
미시행
344 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 344
100.0%

Length

2024-03-14T23:35:36.469161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:36.791174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 344
100.0%

운영요일
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
평일+토요일+공휴일
331 
평일
 
9
평일+토요일
 
3
공휴일
 
1

Length

Max length10
Median length10
Mean length9.7354651
Min length2

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 331
96.2%
평일 9
 
2.6%
평일+토요일 3
 
0.9%
공휴일 1
 
0.3%

Length

2024-03-14T23:35:37.159714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:37.527340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 331
96.2%
평일 9
 
2.6%
평일+토요일 3
 
0.9%
공휴일 1
 
0.3%

평일운영시작시각
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
00:00
301 
09:00
 
20
08:00
 
17
06:00
 
3
07:00
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 301
87.5%
09:00 20
 
5.8%
08:00 17
 
4.9%
06:00 3
 
0.9%
07:00 2
 
0.6%
07:30 1
 
0.3%

Length

2024-03-14T23:35:37.950576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:38.303204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 301
87.5%
09:00 20
 
5.8%
08:00 17
 
4.9%
06:00 3
 
0.9%
07:00 2
 
0.6%
07:30 1
 
0.3%

평일운영종료시각
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
00:00
301 
18:00
 
15
22:00
 
12
19:00
 
5
20:00
 
5
Other values (3)
 
6

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row18:00

Common Values

ValueCountFrequency (%)
00:00 301
87.5%
18:00 15
 
4.4%
22:00 12
 
3.5%
19:00 5
 
1.5%
20:00 5
 
1.5%
23:00 3
 
0.9%
18:30 2
 
0.6%
00:30 1
 
0.3%

Length

2024-03-14T23:35:38.944262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:39.252330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 301
87.5%
18:00 15
 
4.4%
22:00 12
 
3.5%
19:00 5
 
1.5%
20:00 5
 
1.5%
23:00 3
 
0.9%
18:30 2
 
0.6%
00:30 1
 
0.3%

토요일운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
00:00
305 
09:00
 
18
08:00
 
14
06:00
 
3
07:00
 
2
Other values (2)
 
2

Length

Max length5
Median length5
Mean length4.9912791
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 305
88.7%
09:00 18
 
5.2%
08:00 14
 
4.1%
06:00 3
 
0.9%
07:00 2
 
0.6%
07:30 1
 
0.3%
휴무 1
 
0.3%

Length

2024-03-14T23:35:39.633800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:40.080961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 305
88.7%
09:00 18
 
5.2%
08:00 14
 
4.1%
06:00 3
 
0.9%
07:00 2
 
0.6%
07:30 1
 
0.3%
휴무 1
 
0.3%

토요일운영종료시각
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
00:00
305 
18:00
 
14
22:00
 
11
20:00
 
4
19:00
 
3
Other values (4)
 
7

Length

Max length5
Median length5
Mean length4.9912791
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row18:00

Common Values

ValueCountFrequency (%)
00:00 305
88.7%
18:00 14
 
4.1%
22:00 11
 
3.2%
20:00 4
 
1.2%
19:00 3
 
0.9%
23:00 3
 
0.9%
18:30 2
 
0.6%
00:30 1
 
0.3%
휴무 1
 
0.3%

Length

2024-03-14T23:35:40.493862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:40.860897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 305
88.7%
18:00 14
 
4.1%
22:00 11
 
3.2%
20:00 4
 
1.2%
19:00 3
 
0.9%
23:00 3
 
0.9%
18:30 2
 
0.6%
00:30 1
 
0.3%
휴무 1
 
0.3%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
00:00
307 
09:00
 
16
08:00
 
14
06:00
 
3
휴무
 
2

Length

Max length5
Median length5
Mean length4.9825581
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row09:00

Common Values

ValueCountFrequency (%)
00:00 307
89.2%
09:00 16
 
4.7%
08:00 14
 
4.1%
06:00 3
 
0.9%
휴무 2
 
0.6%
07:00 2
 
0.6%

Length

2024-03-14T23:35:41.292587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:41.492137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 307
89.2%
09:00 16
 
4.7%
08:00 14
 
4.1%
06:00 3
 
0.9%
휴무 2
 
0.6%
07:00 2
 
0.6%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
00:00
307 
18:00
 
12
22:00
 
11
20:00
 
4
19:00
 
3
Other values (3)
 
7

Length

Max length5
Median length5
Mean length4.9825581
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row18:00

Common Values

ValueCountFrequency (%)
00:00 307
89.2%
18:00 12
 
3.5%
22:00 11
 
3.2%
20:00 4
 
1.2%
19:00 3
 
0.9%
23:00 3
 
0.9%
휴무 2
 
0.6%
18:30 2
 
0.6%

Length

2024-03-14T23:35:41.711600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:41.921132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 307
89.2%
18:00 12
 
3.5%
22:00 11
 
3.2%
20:00 4
 
1.2%
19:00 3
 
0.9%
23:00 3
 
0.9%
휴무 2
 
0.6%
18:30 2
 
0.6%

요금정보
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
유료
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 286
83.1%
유료 58
 
16.9%

Length

2024-03-14T23:35:42.180503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:42.489502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 286
83.1%
유료 58
 
16.9%

주차기본시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
30
49 
60
 
4
120
 
2
15
 
2

Length

Max length4
Median length2
Mean length2.0116279
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
무료 286
83.1%
30 49
 
14.2%
60 4
 
1.2%
120 2
 
0.6%
15 2
 
0.6%
<NA> 1
 
0.3%

Length

2024-03-14T23:35:42.720034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:43.076927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 286
83.1%
30 49
 
14.2%
60 4
 
1.2%
120 2
 
0.6%
15 2
 
0.6%
na 1
 
0.3%

주차기본요금
Categorical

IMBALANCE 

Distinct11
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
289 
700
 
17
400
 
14
300
 
11
800
 
3
Other values (6)
 
10

Length

Max length4
Median length2
Mean length2.1744186
Min length2

Unique

Unique4 ?
Unique (%)1.2%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row700

Common Values

ValueCountFrequency (%)
무료 289
84.0%
700 17
 
4.9%
400 14
 
4.1%
300 11
 
3.2%
800 3
 
0.9%
1000 3
 
0.9%
500 3
 
0.9%
2000 1
 
0.3%
<NA> 1
 
0.3%
200 1
 
0.3%

Length

2024-03-14T23:35:43.525385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 289
84.0%
700 17
 
4.9%
400 14
 
4.1%
300 11
 
3.2%
800 3
 
0.9%
1000 3
 
0.9%
500 3
 
0.9%
2000 1
 
0.3%
na 1
 
0.3%
200 1
 
0.3%

추가단위시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
15
42 
30
 
12
10
 
2
<NA>
 
1

Length

Max length4
Median length2
Mean length2.005814
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
무료 286
83.1%
15 42
 
12.2%
30 12
 
3.5%
10 2
 
0.6%
<NA> 1
 
0.3%
60 1
 
0.3%

Length

2024-03-14T23:35:43.968467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:44.333653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 286
83.1%
15 42
 
12.2%
30 12
 
3.5%
10 2
 
0.6%
na 1
 
0.3%
60 1
 
0.3%

추가단위요금
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
350
 
16
200
 
16
150
 
7
500
 
5
Other values (7)
 
14

Length

Max length4
Median length2
Mean length2.1802326
Min length2

Unique

Unique4 ?
Unique (%)1.2%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row350

Common Values

ValueCountFrequency (%)
무료 286
83.1%
350 16
 
4.7%
200 16
 
4.7%
150 7
 
2.0%
500 5
 
1.5%
300 4
 
1.2%
400 3
 
0.9%
1000 3
 
0.9%
700 1
 
0.3%
<NA> 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-03-14T23:35:44.749454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 286
83.1%
350 16
 
4.7%
200 16
 
4.7%
150 7
 
2.0%
500 5
 
1.5%
300 4
 
1.2%
400 3
 
0.9%
1000 3
 
0.9%
700 1
 
0.3%
na 1
 
0.3%
Other values (2) 2
 
0.6%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
12시간
 
24
시간제 주차요금이 1일주차요금을 초과할 경우
 
17
<NA>
 
14
24시간
 
3

Length

Max length24
Median length2
Mean length3.3255814
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row12시간

Common Values

ValueCountFrequency (%)
무료 286
83.1%
12시간 24
 
7.0%
시간제 주차요금이 1일주차요금을 초과할 경우 17
 
4.9%
<NA> 14
 
4.1%
24시간 3
 
0.9%

Length

2024-03-14T23:35:45.161103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:45.531663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 286
69.4%
12시간 24
 
5.8%
시간제 17
 
4.1%
주차요금이 17
 
4.1%
1일주차요금을 17
 
4.1%
초과할 17
 
4.1%
경우 17
 
4.1%
na 14
 
3.4%
24시간 3
 
0.7%

1일주차권요금
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
6400
 
17
<NA>
 
16
8000
 
9
3900
 
7
Other values (5)
 
9

Length

Max length5
Median length2
Mean length2.3575581
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
무료 286
83.1%
6400 17
 
4.9%
<NA> 16
 
4.7%
8000 9
 
2.6%
3900 7
 
2.0%
15000 3
 
0.9%
20000 2
 
0.6%
7000 2
 
0.6%
10000 1
 
0.3%
12000 1
 
0.3%

Length

2024-03-14T23:35:45.894999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:46.111650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 286
83.1%
6400 17
 
4.9%
na 16
 
4.7%
8000 9
 
2.6%
3900 7
 
2.0%
15000 3
 
0.9%
20000 2
 
0.6%
7000 2
 
0.6%
10000 1
 
0.3%
12000 1
 
0.3%

월정기권요금
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무료
286 
<NA>
 
23
70000
 
10
77000
 
5
-
 
5
Other values (7)
 
15

Length

Max length15
Median length2
Mean length2.5203488
Min length1

Unique

Unique4 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
무료 286
83.1%
<NA> 23
 
6.7%
70000 10
 
2.9%
77000 5
 
1.5%
- 5
 
1.5%
158000 4
 
1.2%
70000 야간은 56000 4
 
1.2%
126000 3
 
0.9%
88000 1
 
0.3%
40000 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-03-14T23:35:46.355300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 286
81.2%
na 23
 
6.5%
70000 14
 
4.0%
77000 5
 
1.4%
5
 
1.4%
158000 4
 
1.1%
야간은 4
 
1.1%
56000 4
 
1.1%
126000 3
 
0.9%
88000 1
 
0.3%
Other values (3) 3
 
0.9%

결제방법
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
287 
현금
39 
현금+신용카드
 
11
신용카드
 
7

Length

Max length7
Median length4
Mean length3.869186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 287
83.4%
현금 39
 
11.3%
현금+신용카드 11
 
3.2%
신용카드 7
 
2.0%

Length

2024-03-14T23:35:46.574797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:46.762668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
83.4%
현금 39
 
11.3%
현금+신용카드 11
 
3.2%
신용카드 7
 
2.0%

특기사항
Text

MISSING 

Distinct39
Distinct (%)59.1%
Missing278
Missing (%)80.8%
Memory size2.8 KiB
2024-03-14T23:35:47.379332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length29
Mean length22.090909
Min length2

Characters and Unicode

Total characters1458
Distinct characters110
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

Unique32 ?
Unique (%)48.5%

Sample

1st row위탁
2nd row위탁
3rd row평일 종일 3000, 주말공휴일 무료
4th row위탁
5th row폐쇄
ValueCountFrequency (%)
공휴일 28
 
10.4%
개방 20
 
7.4%
비근무시간 16
 
5.9%
월~금 15
 
5.6%
주민센터 14
 
5.2%
주말 14
 
5.2%
상시개방 14
 
5.2%
개방(평일18:00~익일08:00 13
 
4.8%
18~익일 10
 
3.7%
8시/주말 10
 
3.7%
Other values (78) 116
43.0%
2024-03-14T23:35:48.345793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
14.0%
0 117
 
8.0%
일 88
 
6.0%
8 60
 
4.1%
, 55
 
3.8%
시 55
 
3.8%
방 53
 
3.6%
개 52
 
3.6%
~ 50
 
3.4%
주 47
 
3.2%
Other values (100) 677
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
53.8%
Decimal Number 255
 
17.5%
Space Separator 204
 
14.0%
Other Punctuation 128
 
8.8%
Math Symbol 50
 
3.4%
Open Punctuation 18
 
1.2%
Close Punctuation 17
 
1.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 88
 
11.2%
시 55
 
7.0%
방 53
 
6.8%
개 52
 
6.6%
주 47
 
6.0%
공 32
 
4.1%
휴 32
 
4.1%
말 30
 
3.8%
익 29
 
3.7%
무 27
 
3.4%
Other values (82) 340
43.3%
Decimal Number
ValueCountFrequency (%)
0 117
45.9%
8 60
23.5%
1 43
 
16.9%
2 17
 
6.7%
9 6
 
2.4%
3 4
 
1.6%
4 3
 
1.2%
7 3
 
1.2%
5 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 55
43.0%
: 43
33.6%
/ 18
 
14.1%
. 12
 
9.4%
Space Separator
ValueCountFrequency (%)
204
100.0%
Math Symbol
ValueCountFrequency (%)
~ 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
53.8%
Common 672
46.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 88
 
11.2%
시 55
 
7.0%
방 53
 
6.8%
개 52
 
6.6%
주 47
 
6.0%
공 32
 
4.1%
휴 32
 
4.1%
말 30
 
3.8%
익 29
 
3.7%
무 27
 
3.4%
Other values (82) 340
43.3%
Common
ValueCountFrequency (%)
204
30.4%
0 117
17.4%
8 60
 
8.9%
, 55
 
8.2%
~ 50
 
7.4%
1 43
 
6.4%
: 43
 
6.4%
( 18
 
2.7%
/ 18
 
2.7%
) 17
 
2.5%
Other values (7) 47
 
7.0%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
53.8%
ASCII 673
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
30.3%
0 117
17.4%
8 60
 
8.9%
, 55
 
8.2%
~ 50
 
7.4%
1 43
 
6.4%
: 43
 
6.4%
( 18
 
2.7%
/ 18
 
2.7%
) 17
 
2.5%
Other values (8) 48
 
7.1%
Hangul
ValueCountFrequency (%)
일 88
 
11.2%
시 55
 
7.0%
방 53
 
6.8%
개 52
 
6.6%
주 47
 
6.0%
공 32
 
4.1%
휴 32
 
4.1%
말 30
 
3.8%
익 29
 
3.7%
무 27
 
3.4%
Other values (82) 340
43.3%

관리기관명
Categorical

Distinct11
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
북구청
82 
서구청
70 
광산구청
60 
동구청
48 
남구청
41 
Other values (6)
43 

Length

Max length10
Median length8
Mean length3.7761628
Min length3

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
북구청 82
23.8%
서구청 70
20.3%
광산구청 60
17.4%
동구청 48
14.0%
남구청 41
11.9%
동구청 36
10.5%
남광주시장상인회 2
 
0.6%
대인시장상인회 2
 
0.6%
전자의거리상가번영회 1
 
0.3%
도시재생과 1
 
0.3%

Length

2024-03-14T23:35:48.773331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동구청 84
24.4%
북구청 82
23.8%
서구청 70
20.3%
광산구청 60
17.4%
남구청 41
11.9%
남광주시장상인회 2
 
0.6%
대인시장상인회 2
 
0.6%
전자의거리상가번영회 1
 
0.3%
도시재생과 1
 
0.3%
조선대학교 1
 
0.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-31
344 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 344
100.0%

Length

2024-03-14T23:35:49.177227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:35:49.486145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 344
100.0%

Sample

주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수장애인여성전기충전급속전기충전연속급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명데이터기준일자
0산수1동 제3주차장공영노외광주광역시 동구 경양로 309-6광주광역시 동구 산수동 489-15900001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
1산수도서관 주변공영노상광주광역시 동구 경양로 355광주광역시 동구 산수1동 401-583500001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
2계림동 공영주차장공영노외광주광역시 동구 경양로235번길 4광주광역시 동구 계림동 489-25300001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
3계림동 (거주자 우선)공영노외광주광역시 동구 경양로277번길 23-2광주광역시 동구 계림동 2808000001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
4충장로상점가 공영주차장공영노외광주광역시 동구 구성로 172-2광주광역시 동구 충장로5가 25번지3800001급지미시행평일+토요일+공휴일09:0018:0009:0018:0009:0018:00유료307003035012시간<NA><NA>현금<NA>동구청2023-12-31
5전자의거리 공영주차장공영노외광주광역시 동구 구성로 199광주광역시 동구 대인동 27-96830001급지미시행평일+토요일+공휴일09:0019:0009:0019:0009:0019:00유료307003035012시간<NA><NA>현금<NA>전자의거리상가번영회2023-12-31
6금남지하주차장공영부설광주광역시 동구 금남로 246광주광역시 동구 금남로1가 2310700001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료120무료1550012시간<NA><NA>현금<NA>동구청2023-12-31
7너릿재유아숲공영노외광주광역시 동구 남문로 48-8광주광역시 동구 선교동 482900002급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
8지원1동주민센터 뒤공영노상광주광역시 동구 남문로 606-5광주광역시 동구 소태동 595-9900002급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
9지체장애인협회 앞공영노상광주광역시 동구 남문로 638-7광주광역시 동구 소태동 532-174210002급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>동구청2023-12-31
주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수장애인여성전기충전급속전기충전연속급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명데이터기준일자
334월곡시장 주차타워공영부설광주광역시 광산구 사암로 300광주광역시 광산구 월곡동 687-35030002급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료3040015200<NA>640070000현금전통시장 이용고객시 반값, 무인시스템광산구청2023-12-31
335맨하탄모텔 옆 공영주차장공영부설광주광역시 광산구 우산동 1577-7광주광역시 광산구 무진대로231번길 152000002급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료3040015200<NA>640070000 야간은 56000현금무인시스템광산구청2023-12-31
336광산로 공영주차장공영부설광주광역시 광산구 광산로 30번길 10광주광역시 광산구 송정동 818-154822001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료3020015100<NA>640070000현금시장이용고객무료광산구청2023-12-31
337신가공영유료주차장공영부설광주광역시 광산구 수능로 242광주광역시 광산구 신가동 894-1번지 14필지5910001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>광산구청2023-12-31
338호남병원 옆 공영주차장공영부설광주광역시 광산구 무진대로 255광주광역시 광산구 우산동 1583-45900002급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료3040015200<NA>640070000현금<NA>광산구청2023-12-31
339광산로 제 2공영주차장공영부설광주광역시 광산구 송정동 광산로 48광주광역시 광산구 송정동 805-47000001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료60무료15200<NA>6400<NA>현금<NA>광산구청2023-12-31
340원동 공영주차장공영부설광주광역시 광산구 송정동 내상로33번길 111광주광역시 광산구 송정동 679800001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA>관리인X광산구청2023-12-31
341하남산단근로자주차장공영부설광주광역시 광산구 장덕동 하남산단4번로 132광주광역시 광산구 장덕동 982-105600001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료무료무료무료무료무료무료무료<NA><NA>광산구청2023-12-31
342송정매일시장상가주차타워공영부설광주광역시 광산구 송정동 내상로 10광주광역시 광산구 송정동 792-821300001급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료6060030200<NA><NA><NA>현금2시간 이상 할증요금 30분당 400원광산구청2023-12-31
343송정5일시장 공영주차장공영부설광주광역시 광산구 송정동 광산로30번길 80광주광역시 광산구 송정동 231-218600003급지미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00유료60무료60800<NA>6400<NA>현금시장이용고객무료광산구청2023-12-31