Overview

Dataset statistics

Number of variables21
Number of observations58
Missing cells47
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory174.3 B

Variable types

Categorical13
Numeric4
Text4

Dataset

Description광주교통공사 역사 인근 500m 이내의 주차장에 대한 데이터로 역명, 역까지의 거리(m), 주차장명 등 정보를 제공합니다.
Author광주교통공사
URLhttps://www.data.go.kr/data/15109337/fileData.do

Alerts

주차장구분 has constant value ""Constant
운영요일 is highly imbalanced (78.5%)Imbalance
특기사항 has 47 (81.0%) missing valuesMissing
주차장관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:09:01.498403
Analysis finished2023-12-12 13:09:01.847680
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화노선도명
Categorical

Distinct17
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
문화전당(구도청)
11 
금남로4가
8 
양동시장
8 
금남로5가
5 
학동증심사입구
4 
Other values (12)
22 

Length

Max length12
Median length7
Mean length5.137931
Min length2

Unique

Unique6 ?
Unique (%)10.3%

Sample

1st row양동시장
2nd row금남로4가
3rd row쌍촌
4th row문화전당(구도청)
5th row학동증심사입구

Common Values

ValueCountFrequency (%)
문화전당(구도청) 11
19.0%
금남로4가 8
13.8%
양동시장 8
13.8%
금남로5가 5
8.6%
학동증심사입구 4
 
6.9%
소태 4
 
6.9%
상무 3
 
5.2%
남광주 3
 
5.2%
돌고개 2
 
3.4%
화정 2
 
3.4%
Other values (7) 8
13.8%

Length

2023-12-12T22:09:01.944661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화전당(구도청 11
19.0%
양동시장 8
13.8%
금남로4가 8
13.8%
금남로5가 5
8.6%
학동증심사입구 4
 
6.9%
소태 4
 
6.9%
상무 3
 
5.2%
남광주 3
 
5.2%
김대중컨벤션센터(마륵 2
 
3.4%
돌고개 2
 
3.4%
Other values (7) 8
13.8%

거리
Real number (ℝ)

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.71434
Minimum23.818
Maximum497.195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T22:09:02.408486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.818
5-th percentile111.72625
Q1249.20375
median344.7575
Q3437.1085
95-th percentile488.17515
Maximum497.195
Range473.377
Interquartile range (IQR)187.90475

Descriptive statistics

Standard deviation124.06619
Coefficient of variation (CV)0.37401514
Kurtosis-0.62481376
Mean331.71434
Median Absolute Deviation (MAD)95.487
Skewness-0.5565175
Sum19239.432
Variance15392.419
MonotonicityNot monotonic
2023-12-12T22:09:02.563764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164.09 2
 
3.4%
323.994 2
 
3.4%
490.063 1
 
1.7%
430.776 1
 
1.7%
286.0 1
 
1.7%
114.145 1
 
1.7%
469.171 1
 
1.7%
293.798 1
 
1.7%
125.373 1
 
1.7%
421.51 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
23.818 1
1.7%
83.116 1
1.7%
98.02 1
1.7%
114.145 1
1.7%
125.373 1
1.7%
152.926 1
1.7%
162.782 1
1.7%
164.09 2
3.4%
193.042 1
1.7%
208.942 1
1.7%
ValueCountFrequency (%)
497.195 1
1.7%
494.831 1
1.7%
490.063 1
1.7%
487.842 1
1.7%
487.274 1
1.7%
486.098 1
1.7%
474.741 1
1.7%
469.171 1
1.7%
462.852 1
1.7%
453.282 1
1.7%

요금정보
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
유료
30 
무료
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 30
51.7%
무료 28
48.3%

Length

2023-12-12T22:09:02.714700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:02.815041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 30
51.7%
무료 28
48.3%

공휴일운영종료시각
Categorical

Distinct7
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
00:00
36 
18:00
7 
19:00
4 
22:00
4 
20:00
 
3
Other values (2)
4 

Length

Max length5
Median length5
Mean length4.9655172
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row19:00
3rd row00:00
4th row<NA>
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 36
62.1%
18:00 7
 
12.1%
19:00 4
 
6.9%
22:00 4
 
6.9%
20:00 3
 
5.2%
<NA> 2
 
3.4%
18:30 2
 
3.4%

Length

2023-12-12T22:09:02.934303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:03.038258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 36
62.1%
18:00 7
 
12.1%
19:00 4
 
6.9%
22:00 4
 
6.9%
20:00 3
 
5.2%
na 2
 
3.4%
18:30 2
 
3.4%

공휴일운영시작시각
Categorical

Distinct5
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
00:00
36 
09:00
12 
08:00
6 
<NA>
 
2
06:00
 
2

Length

Max length5
Median length5
Mean length4.9655172
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row09:00
3rd row00:00
4th row<NA>
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 36
62.1%
09:00 12
 
20.7%
08:00 6
 
10.3%
<NA> 2
 
3.4%
06:00 2
 
3.4%

Length

2023-12-12T22:09:03.187943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:03.317903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 36
62.1%
09:00 12
 
20.7%
08:00 6
 
10.3%
na 2
 
3.4%
06:00 2
 
3.4%

위도
Real number (ℝ)

Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.145746
Minimum35.120441
Maximum35.157316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T22:09:03.447604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.120441
5-th percentile35.124748
Q135.142946
median35.147788
Q335.153482
95-th percentile35.156151
Maximum35.157316
Range0.0368751
Interquartile range (IQR)0.010535075

Descriptive statistics

Standard deviation0.0096584066
Coefficient of variation (CV)0.00027481012
Kurtosis0.40802514
Mean35.145746
Median Absolute Deviation (MAD)0.00563455
Skewness-1.1404377
Sum2038.4532
Variance9.3284819 × 10-5
MonotonicityNot monotonic
2023-12-12T22:09:03.606021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
35.1534228 2
 
3.4%
35.1454906 2
 
3.4%
35.1514448 2
 
3.4%
35.1506971 2
 
3.4%
35.1541482 2
 
3.4%
35.1425636 2
 
3.4%
35.1455335 2
 
3.4%
35.1535011 2
 
3.4%
35.1479003 2
 
3.4%
35.1509614 2
 
3.4%
Other values (37) 38
65.5%
ValueCountFrequency (%)
35.1204405 1
1.7%
35.1233873 1
1.7%
35.1235936 1
1.7%
35.1249514 1
1.7%
35.1266676 1
1.7%
35.128765 1
1.7%
35.1294546 1
1.7%
35.1321698 1
1.7%
35.1324904 1
1.7%
35.1339504 1
1.7%
ValueCountFrequency (%)
35.1573156 1
1.7%
35.156374 1
1.7%
35.1563372 1
1.7%
35.1561177 1
1.7%
35.1551935 1
1.7%
35.1550942 1
1.7%
35.1548103 2
3.4%
35.1541482 2
3.4%
35.1541019 1
1.7%
35.1540207 1
1.7%

경도
Real number (ℝ)

Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.89896
Minimum126.76932
Maximum126.93589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T22:09:03.798481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.76932
5-th percentile126.79975
Q1126.89918
median126.91371
Q3126.92199
95-th percentile126.93295
Maximum126.93589
Range0.1665716
Interquartile range (IQR)0.022808275

Descriptive statistics

Standard deviation0.038502011
Coefficient of variation (CV)0.00030340684
Kurtosis2.9171911
Mean126.89896
Median Absolute Deviation (MAD)0.010142
Skewness-1.8643119
Sum7360.1395
Variance0.0014824049
MonotonicityNot monotonic
2023-12-12T22:09:04.030818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
126.8991779 2
 
3.4%
126.8477721 2
 
3.4%
126.9124016 2
 
3.4%
126.9072844 2
 
3.4%
126.9135322 2
 
3.4%
126.9198134 2
 
3.4%
126.8440276 2
 
3.4%
126.9140542 2
 
3.4%
126.9183794 2
 
3.4%
126.9194161 2
 
3.4%
Other values (37) 38
65.5%
ValueCountFrequency (%)
126.7693205 1
1.7%
126.7916242 1
1.7%
126.7947072 1
1.7%
126.800637 1
1.7%
126.8405227 1
1.7%
126.8440276 2
3.4%
126.8477721 2
3.4%
126.8674338 1
1.7%
126.8775744 1
1.7%
126.877725 1
1.7%
ValueCountFrequency (%)
126.9358921 1
1.7%
126.9346502 1
1.7%
126.9335 1
1.7%
126.9328482 1
1.7%
126.9323265 1
1.7%
126.928 1
1.7%
126.9271402 1
1.7%
126.9269274 1
1.7%
126.9239955 1
1.7%
126.9237101 1
1.7%

운영요일
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
평일+토요일+공휴일
55 
평일
 
2
평일+토요일
 
1

Length

Max length10
Median length10
Mean length9.6551724
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 55
94.8%
평일 2
 
3.4%
평일+토요일 1
 
1.7%

Length

2023-12-12T22:09:04.197178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:04.293763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 55
94.8%
평일 2
 
3.4%
평일+토요일 1
 
1.7%

주차기본요금
Categorical

Distinct8
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
무료
30 
700
13 
400
6 
800
 
2
1000
 
2
Other values (3)
5 

Length

Max length4
Median length2
Mean length2.5172414
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
무료 30
51.7%
700 13
22.4%
400 6
 
10.3%
800 2
 
3.4%
1000 2
 
3.4%
300 2
 
3.4%
500 2
 
3.4%
200 1
 
1.7%

Length

2023-12-12T22:09:04.406288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:04.522510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 30
51.7%
700 13
22.4%
400 6
 
10.3%
800 2
 
3.4%
1000 2
 
3.4%
300 2
 
3.4%
500 2
 
3.4%
200 1
 
1.7%

주차기본시간
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
무료
28 
30
26 
15
 
2
120
 
2

Length

Max length3
Median length2
Mean length2.0344828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 28
48.3%
30 26
44.8%
15 2
 
3.4%
120 2
 
3.4%

Length

2023-12-12T22:09:04.649479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:04.743172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 28
48.3%
30 26
44.8%
15 2
 
3.4%
120 2
 
3.4%

주차구획수
Real number (ℝ)

Distinct39
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.068966
Minimum2
Maximum1502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T22:09:04.848125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.7
Q111.75
median28.5
Q366
95-th percentile289.95
Maximum1502
Range1500
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation216.49876
Coefficient of variation (CV)2.4036999
Kurtosis32.90594
Mean90.068966
Median Absolute Deviation (MAD)18.5
Skewness5.3521404
Sum5224
Variance46871.714
MonotonicityNot monotonic
2023-12-12T22:09:04.965661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 6
 
10.3%
28 3
 
5.2%
14 3
 
5.2%
8 3
 
5.2%
35 2
 
3.4%
107 2
 
3.4%
44 2
 
3.4%
38 2
 
3.4%
68 2
 
3.4%
40 2
 
3.4%
Other values (29) 31
53.4%
ValueCountFrequency (%)
2 1
 
1.7%
3 1
 
1.7%
6 1
 
1.7%
8 3
5.2%
9 1
 
1.7%
10 6
10.3%
11 2
 
3.4%
14 3
5.2%
15 1
 
1.7%
16 1
 
1.7%
ValueCountFrequency (%)
1502 1
1.7%
628 1
1.7%
301 1
1.7%
288 1
1.7%
286 1
1.7%
275 1
1.7%
207 1
1.7%
193 1
1.7%
107 2
3.4%
85 1
1.7%

주차장관리번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T22:09:05.151266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters696
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

Unique58 ?
Unique (%)100.0%

Sample

1st row100-1-000001
2nd row100-1-000002
3rd row100-1-000003
4th row100-1-000004
5th row100-1-000005
ValueCountFrequency (%)
100-1-000001 1
 
1.7%
100-1-000043 1
 
1.7%
100-1-000057 1
 
1.7%
100-1-000032 1
 
1.7%
100-1-000033 1
 
1.7%
100-1-000034 1
 
1.7%
100-1-000035 1
 
1.7%
100-1-000036 1
 
1.7%
100-1-000037 1
 
1.7%
100-1-000038 1
 
1.7%
Other values (48) 48
82.8%
2023-12-12T22:09:05.491780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 362
52.0%
1 132
 
19.0%
- 116
 
16.7%
4 16
 
2.3%
2 16
 
2.3%
3 16
 
2.3%
5 15
 
2.2%
8 6
 
0.9%
6 6
 
0.9%
7 6
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 580
83.3%
Dash Punctuation 116
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 362
62.4%
1 132
 
22.8%
4 16
 
2.8%
2 16
 
2.8%
3 16
 
2.8%
5 15
 
2.6%
8 6
 
1.0%
6 6
 
1.0%
7 6
 
1.0%
9 5
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 362
52.0%
1 132
 
19.0%
- 116
 
16.7%
4 16
 
2.3%
2 16
 
2.3%
3 16
 
2.3%
5 15
 
2.2%
8 6
 
0.9%
6 6
 
0.9%
7 6
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 362
52.0%
1 132
 
19.0%
- 116
 
16.7%
4 16
 
2.3%
2 16
 
2.3%
3 16
 
2.3%
5 15
 
2.2%
8 6
 
0.9%
6 6
 
0.9%
7 6
 
0.9%

주차장명
Text

Distinct49
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T22:09:05.757369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length10.982759
Min length6

Characters and Unicode

Total characters637
Distinct characters122
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

Unique40 ?
Unique (%)69.0%

Sample

1st row서구장애인복지관 주차장
2nd row전자의거리 공영주차장
3rd row상무1동 행정복지센터 주차장
4th row궁동공영주차장
5th row삼성전자대리점 뒤
ValueCountFrequency (%)
공영주차장 18
 
14.8%
주차장 11
 
9.0%
앞 6
 
4.9%
주민센터 3
 
2.5%
서석동 3
 
2.5%
금남지하주차장 2
 
1.6%
대인시장 2
 
1.6%
남광주시장 2
 
1.6%
뒤 2
 
1.6%
국립아시아문화전당 2
 
1.6%
Other values (60) 71
58.2%
2023-12-12T22:09:06.164881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
10.0%
주 58
 
9.1%
장 57
 
8.9%
차 46
 
7.2%
동 30
 
4.7%
공 23
 
3.6%
영 21
 
3.3%
지 14
 
2.2%
터 12
 
1.9%
센 12
 
1.9%
Other values (112) 300
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 553
86.8%
Space Separator 64
 
10.0%
Decimal Number 10
 
1.6%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Uppercase Letter 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 58
 
10.5%
장 57
 
10.3%
차 46
 
8.3%
동 30
 
5.4%
공 23
 
4.2%
영 21
 
3.8%
지 14
 
2.5%
터 12
 
2.2%
센 12
 
2.2%
광 10
 
1.8%
Other values (103) 270
48.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
K 1
33.3%
T 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
2 4
40.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 553
86.8%
Common 81
 
12.7%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 58
 
10.5%
장 57
 
10.3%
차 46
 
8.3%
동 30
 
5.4%
공 23
 
4.2%
영 21
 
3.8%
지 14
 
2.5%
터 12
 
2.2%
센 12
 
2.2%
광 10
 
1.8%
Other values (103) 270
48.8%
Common
ValueCountFrequency (%)
64
79.0%
1 6
 
7.4%
2 4
 
4.9%
( 3
 
3.7%
) 3
 
3.7%
, 1
 
1.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
K 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 553
86.8%
ASCII 84
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
76.2%
1 6
 
7.1%
2 4
 
4.8%
( 3
 
3.6%
) 3
 
3.6%
A 1
 
1.2%
, 1
 
1.2%
K 1
 
1.2%
T 1
 
1.2%
Hangul
ValueCountFrequency (%)
주 58
 
10.5%
장 57
 
10.3%
차 46
 
8.3%
동 30
 
5.4%
공 23
 
4.2%
영 21
 
3.8%
지 14
 
2.5%
터 12
 
2.2%
센 12
 
2.2%
광 10
 
1.8%
Other values (103) 270
48.8%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
공영
58 

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 58
100.0%

Length

2023-12-12T22:09:06.308472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:06.414763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 58
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
노외
23 
부설
20 
노상
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 23
39.7%
부설 20
34.5%
노상 15
25.9%

Length

2023-12-12T22:09:06.517774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:06.665994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 23
39.7%
부설 20
34.5%
노상 15
25.9%

소재지도로명주소
Text

Distinct48
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T22:09:06.947309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20.5
Mean length17.982759
Min length15

Characters and Unicode

Total characters1043
Distinct characters68
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

Unique38 ?
Unique (%)65.5%

Sample

1st row광주광역시 서구 경열로 127
2nd row광주광역시 동구 구성로 199
3rd row광주광역시 서구 월드컵4강로197번길 20
4th row광주광역시 동구 제봉로 153-4
5th row광주광역시 동구 학동길 12
ValueCountFrequency (%)
광주광역시 58
24.7%
동구 34
 
14.5%
서구 18
 
7.7%
광산구 4
 
1.7%
10 4
 
1.7%
구성로 4
 
1.7%
제봉로 3
 
1.3%
천변좌로 3
 
1.3%
금남로 3
 
1.3%
경열로 3
 
1.3%
Other values (78) 101
43.0%
2023-12-12T22:09:07.425129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
17.0%
광 121
 
11.6%
구 62
 
5.9%
시 59
 
5.7%
역 58
 
5.6%
주 58
 
5.6%
1 55
 
5.3%
로 51
 
4.9%
동 43
 
4.1%
2 33
 
3.2%
Other values (58) 326
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
62.0%
Decimal Number 201
 
19.3%
Space Separator 177
 
17.0%
Dash Punctuation 18
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 121
18.7%
구 62
9.6%
시 59
9.1%
역 58
9.0%
주 58
9.0%
로 51
7.9%
동 43
 
6.6%
서 24
 
3.7%
길 23
 
3.6%
번 21
 
3.2%
Other values (46) 127
19.6%
Decimal Number
ValueCountFrequency (%)
1 55
27.4%
2 33
16.4%
3 25
12.4%
9 20
 
10.0%
7 16
 
8.0%
0 14
 
7.0%
6 12
 
6.0%
5 9
 
4.5%
4 9
 
4.5%
8 8
 
4.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 647
62.0%
Common 396
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 121
18.7%
구 62
9.6%
시 59
9.1%
역 58
9.0%
주 58
9.0%
로 51
7.9%
동 43
 
6.6%
서 24
 
3.7%
길 23
 
3.6%
번 21
 
3.2%
Other values (46) 127
19.6%
Common
ValueCountFrequency (%)
177
44.7%
1 55
 
13.9%
2 33
 
8.3%
3 25
 
6.3%
9 20
 
5.1%
- 18
 
4.5%
7 16
 
4.0%
0 14
 
3.5%
6 12
 
3.0%
5 9
 
2.3%
Other values (2) 17
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 647
62.0%
ASCII 396
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
44.7%
1 55
 
13.9%
2 33
 
8.3%
3 25
 
6.3%
9 20
 
5.1%
- 18
 
4.5%
7 16
 
4.0%
0 14
 
3.5%
6 12
 
3.0%
5 9
 
2.3%
Other values (2) 17
 
4.3%
Hangul
ValueCountFrequency (%)
광 121
18.7%
구 62
9.6%
시 59
9.1%
역 58
9.0%
주 58
9.0%
로 51
7.9%
동 43
 
6.6%
서 24
 
3.7%
길 23
 
3.6%
번 21
 
3.2%
Other values (46) 127
19.6%

토요일운영종료시각
Categorical

Distinct8
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
00:00
35 
18:00
7 
19:00
4 
22:00
4 
20:00
 
3
Other values (3)
5 

Length

Max length5
Median length5
Mean length4.9655172
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row00:00
2nd row19:00
3rd row00:00
4th row<NA>
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 35
60.3%
18:00 7
 
12.1%
19:00 4
 
6.9%
22:00 4
 
6.9%
20:00 3
 
5.2%
<NA> 2
 
3.4%
18:30 2
 
3.4%
00:30 1
 
1.7%

Length

2023-12-12T22:09:07.620442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:07.759226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 35
60.3%
18:00 7
 
12.1%
19:00 4
 
6.9%
22:00 4
 
6.9%
20:00 3
 
5.2%
na 2
 
3.4%
18:30 2
 
3.4%
00:30 1
 
1.7%

토요일운영시작시각
Categorical

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
00:00
35 
09:00
12 
08:00
6 
<NA>
 
2
06:00
 
2

Length

Max length5
Median length5
Mean length4.9655172
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row00:00
2nd row09:00
3rd row00:00
4th row<NA>
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 35
60.3%
09:00 12
 
20.7%
08:00 6
 
10.3%
<NA> 2
 
3.4%
06:00 2
 
3.4%
07:30 1
 
1.7%

Length

2023-12-12T22:09:07.902828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:08.049723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 35
60.3%
09:00 12
 
20.7%
08:00 6
 
10.3%
na 2
 
3.4%
06:00 2
 
3.4%
07:30 1
 
1.7%

특기사항
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing47
Missing (%)81.0%
Memory size596.0 B
2023-12-12T22:09:08.236875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length25
Mean length19.545455
Min length2

Characters and Unicode

Total characters215
Distinct characters41
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)36.4%

Sample

1st row월~금 7~21/주말, 공휴일 상시개방
2nd row위탁
3rd row월~금 18~익일 8시/주말, 공휴일 상시개방
4th row주민센터 비근무시간 개방(평일18:00~익일08:00, 주말, 공휴일 개방)
5th row위탁
ValueCountFrequency (%)
공휴일 6
16.2%
월~금 4
10.8%
상시개방 4
10.8%
위탁 3
8.1%
개방 3
8.1%
18~익일 2
 
5.4%
8시/주말 2
 
5.4%
주민센터 2
 
5.4%
비근무시간 2
 
5.4%
개방(평일18:00~익일08:00 2
 
5.4%
Other values (6) 7
18.9%
2023-12-12T22:09:08.591448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
12.1%
일 15
 
7.0%
0 12
 
5.6%
시 11
 
5.1%
8 11
 
5.1%
~ 10
 
4.7%
, 10
 
4.7%
주 9
 
4.2%
방 9
 
4.2%
개 9
 
4.2%
Other values (31) 93
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
57.2%
Decimal Number 32
 
14.9%
Space Separator 26
 
12.1%
Other Punctuation 20
 
9.3%
Math Symbol 10
 
4.7%
Close Punctuation 2
 
0.9%
Open Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 15
 
12.2%
시 11
 
8.9%
주 9
 
7.3%
방 9
 
7.3%
개 9
 
7.3%
휴 7
 
5.7%
공 7
 
5.7%
말 7
 
5.7%
익 5
 
4.1%
상 4
 
3.3%
Other values (19) 40
32.5%
Decimal Number
ValueCountFrequency (%)
0 12
37.5%
8 11
34.4%
1 7
21.9%
7 1
 
3.1%
2 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 10
50.0%
: 6
30.0%
/ 4
 
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
57.2%
Common 92
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 15
 
12.2%
시 11
 
8.9%
주 9
 
7.3%
방 9
 
7.3%
개 9
 
7.3%
휴 7
 
5.7%
공 7
 
5.7%
말 7
 
5.7%
익 5
 
4.1%
상 4
 
3.3%
Other values (19) 40
32.5%
Common
ValueCountFrequency (%)
26
28.3%
0 12
13.0%
8 11
12.0%
~ 10
 
10.9%
, 10
 
10.9%
1 7
 
7.6%
: 6
 
6.5%
/ 4
 
4.3%
) 2
 
2.2%
( 2
 
2.2%
Other values (2) 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
57.2%
ASCII 92
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
28.3%
0 12
13.0%
8 11
12.0%
~ 10
 
10.9%
, 10
 
10.9%
1 7
 
7.6%
: 6
 
6.5%
/ 4
 
4.3%
) 2
 
2.2%
( 2
 
2.2%
Other values (2) 2
 
2.2%
Hangul
ValueCountFrequency (%)
일 15
 
12.2%
시 11
 
8.9%
주 9
 
7.3%
방 9
 
7.3%
개 9
 
7.3%
휴 7
 
5.7%
공 7
 
5.7%
말 7
 
5.7%
익 5
 
4.1%
상 4
 
3.3%
Other values (19) 40
32.5%

평일운영종료시각
Categorical

Distinct7
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
00:00
35 
18:00
7 
20:00
5 
19:00
4 
22:00
4 
Other values (2)
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row00:00
2nd row19:00
3rd row00:00
4th row20:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 35
60.3%
18:00 7
 
12.1%
20:00 5
 
8.6%
19:00 4
 
6.9%
22:00 4
 
6.9%
18:30 2
 
3.4%
00:30 1
 
1.7%

Length

2023-12-12T22:09:08.733789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:08.875003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 35
60.3%
18:00 7
 
12.1%
20:00 5
 
8.6%
19:00 4
 
6.9%
22:00 4
 
6.9%
18:30 2
 
3.4%
00:30 1
 
1.7%

평일운영시작시각
Categorical

Distinct5
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
00:00
35 
09:00
12 
08:00
8 
06:00
 
2
07:30
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row00:00
2nd row09:00
3rd row00:00
4th row08:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 35
60.3%
09:00 12
 
20.7%
08:00 8
 
13.8%
06:00 2
 
3.4%
07:30 1
 
1.7%

Length

2023-12-12T22:09:09.028992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:09.146650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 35
60.3%
09:00 12
 
20.7%
08:00 8
 
13.8%
06:00 2
 
3.4%
07:30 1
 
1.7%

Sample

문화노선도명거리요금정보공휴일운영종료시각공휴일운영시작시각위도경도운영요일주차기본요금주차기본시간주차구획수주차장관리번호주차장명주차장구분주차장유형소재지도로명주소토요일운영종료시각토요일운영시작시각특기사항평일운영종료시각평일운영시작시각
0양동시장490.063무료00:0000:0035.153423126.899178평일+토요일+공휴일무료무료28100-1-000001서구장애인복지관 주차장공영부설광주광역시 서구 경열로 12700:0000:00<NA>00:0000:00
1금남로4가283.029유료19:0009:0035.153501126.914054평일+토요일+공휴일7003068100-1-000002전자의거리 공영주차장공영노외광주광역시 동구 구성로 19919:0009:00<NA>19:0009:00
2쌍촌290.336무료00:0000:0035.153771126.867434평일+토요일+공휴일무료무료17100-1-000003상무1동 행정복지센터 주차장공영부설광주광역시 서구 월드컵4강로197번길 2000:0000:00<NA>00:0000:00
3문화전당(구도청)487.274유료<NA><NA>35.150961126.919416평일7003035100-1-000004궁동공영주차장공영노외광주광역시 동구 제봉로 153-4<NA><NA><NA>20:0008:00
4학동증심사입구152.926무료00:0000:0035.13395126.92714평일+토요일+공휴일무료무료14100-1-000005삼성전자대리점 뒤공영노상광주광역시 동구 학동길 1200:0000:00<NA>00:0000:00
5금남로4가451.87유료<NA><NA>35.150961126.919416평일7003035100-1-000006궁동공영주차장공영노외광주광역시 동구 제봉로 153-4<NA><NA><NA>20:0008:00
6문화전당(구도청)419.896유료18:0008:0035.144647126.923996평일+토요일+공휴일7003028100-1-000007서석동 공영주차장공영노외광주광역시 동구 서남로 2218:0008:00<NA>18:0008:00
7문화전당(구도청)23.818유료00:0000:0035.146441126.919889평일+토요일+공휴일80030275100-1-000008국립아시아문화전당 A주차장공영부설광주광역시 동구 문화전당로 26번길 700:0000:00<NA>00:0000:00
8상무164.09무료00:0000:0035.145491126.847772평일+토요일+공휴일무료무료286100-1-000009광주도시철도공사 주차장(본사)공영부설광주광역시 서구 상무대로 76000:0000:00월~금 7~21/주말, 공휴일 상시개방00:0000:00
9문화전당(구도청)280.791무료00:0000:0035.147676126.922849평일+토요일+공휴일무료무료14100-1-000010광산교회 앞공영노상광주광역시 동구 제봉로98번길 11-300:0000:00<NA>00:0000:00
문화노선도명거리요금정보공휴일운영종료시각공휴일운영시작시각위도경도운영요일주차기본요금주차기본시간주차구획수주차장관리번호주차장명주차장구분주차장유형소재지도로명주소토요일운영종료시각토요일운영시작시각특기사항평일운영종료시각평일운영시작시각
48문화전당(구도청)450.453유료20:0008:0035.142564126.919813평일+토요일+공휴일7003010100-1-000049전대병원로타리 공영주차장공영노상광주광역시 동구 백서로137번길 120:0008:00위탁20:0008:00
49상무441.909유료22:0009:0035.145533126.844028평일+토요일+공휴일4003040100-1-000050치평동 공영주차장공영부설광주광역시 서구 상무화원로 3122:0009:00<NA>22:0009:00
50김대중컨벤션센터(마륵)417.255유료00:0000:0035.14689126.840523평일+토요일+공휴일700301502100-1-000051김대중컨벤션센터 주차장공영부설광주광역시 서구 상무누리로 3000:0000:00<NA>00:0000:00
51금남로4가494.831유료00:0000:0035.1479126.918379평일+토요일+공휴일무료120107100-1-000052금남지하주차장공영부설광주광역시 동구 금남로 24600:0000:00<NA>00:0000:00
52금남로5가431.578유료00:0000:0035.150697126.907284평일+토요일+공휴일4003044100-1-000053양동산업용품 공영주차장공영노외광주광역시 서구 양동 119-100:0000:00<NA>00:0000:00
53돌고개356.423무료00:0000:0035.153423126.899178평일+토요일+공휴일무료무료28100-1-000054서구장애인복지관 주차장공영부설광주광역시 서구 경열로 12700:0000:00<NA>00:0000:00
54문화전당(구도청)208.942유료00:0000:0035.1479126.918379평일+토요일+공휴일무료120107100-1-000055금남지하주차장공영부설광주광역시 동구 금남로 24600:0000:00<NA>00:0000:00
55광주송정역301.703유료00:0000:0035.138186126.794707평일+토요일+공휴일2003048100-1-000056광산로 공영주차장공영부설광주광역시 광산구 광산로 30번길 1000:0000:00시장이용고객무료00:0000:00
56송정공원223.717무료18:0009:0035.145224126.800637평일+토요일+공휴일무료무료15100-1-000057신흥동행정복지센터 공영주차장공영노외광주광역시 광산구 신흥동안길 918:0009:00주민센터 비근무시간 개방(평일18:00~익일08:00, 주말, 공휴일 개방)18:0009:00
57금남로4가193.042유료18:0009:0035.151445126.912402평일+토요일+공휴일7003038100-1-000058충장로상점가 공영주차장공영노외광주광역시 동구 구성로 172-218:0009:00<NA>18:0009:00