Overview

Dataset statistics

Number of variables24
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory201.1 B

Variable types

Text3
Categorical16
Numeric5

Dataset

Description강남구도시관리공단_공영주차장 정보에 대한 데이터로 운영중인 주차장명, 소재지도로명주소, 소재지지번주소, 운영시간 등을 제공하고 있습니다.
Author강남구도시관리공단
URLhttps://www.data.go.kr/data/15004746/fileData.do

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
주차기본시간 has constant value ""Constant
관리기관명 has constant value ""Constant
대형차 주차면 is highly imbalanced (87.8%)Imbalance
주차장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
장애인주차면 has 8 (13.3%) zerosZeros
가족배려주차면 has 18 (30.0%) zerosZeros
경차주차면 has 43 (71.7%) zerosZeros
환경친화적 has 25 (41.7%) zerosZeros

Reproduction

Analysis started2024-03-14 13:05:53.719371
Analysis finished2024-03-14 13:05:54.252991
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-03-14T22:05:55.005461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.5333333
Min length3

Characters and Unicode

Total characters392
Distinct characters100
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

Unique60 ?
Unique (%)100.0%

Sample

1st row강남구청 부설
2nd row강남구청 삼성로별관 부설
3rd row강남치매안심센터
4th row개포동공원
5th row구룡산제1호
ValueCountFrequency (%)
강남구청 2
 
2.9%
역삼문화공원 2
 
2.9%
도곡로 2
 
2.9%
부설 2
 
2.9%
한티역 1
 
1.4%
테헤란로78길 1
 
1.4%
언주로147길 1
 
1.4%
언주로171길 1
 
1.4%
테헤란로64길 1
 
1.4%
언주초교 1
 
1.4%
Other values (56) 56
80.0%
2024-03-14T22:05:56.355243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
6.1%
22
 
5.6%
1 18
 
4.6%
2 17
 
4.3%
11
 
2.8%
10
 
2.6%
10
 
2.6%
8
 
2.0%
8
 
2.0%
8
 
2.0%
Other values (90) 256
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
76.8%
Decimal Number 80
 
20.4%
Space Separator 10
 
2.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
8.0%
22
 
7.3%
11
 
3.7%
10
 
3.3%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
Other values (78) 186
61.8%
Decimal Number
ValueCountFrequency (%)
1 18
22.5%
2 17
21.2%
4 8
10.0%
7 8
10.0%
6 7
 
8.8%
3 6
 
7.5%
5 5
 
6.2%
8 5
 
6.2%
9 4
 
5.0%
0 2
 
2.5%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
76.8%
Common 91
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
8.0%
22
 
7.3%
11
 
3.7%
10
 
3.3%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
Other values (78) 186
61.8%
Common
ValueCountFrequency (%)
1 18
19.8%
2 17
18.7%
10
11.0%
4 8
8.8%
7 8
8.8%
6 7
 
7.7%
3 6
 
6.6%
5 5
 
5.5%
8 5
 
5.5%
9 4
 
4.4%
Other values (2) 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
76.8%
ASCII 91
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
8.0%
22
 
7.3%
11
 
3.7%
10
 
3.3%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
8
 
2.7%
Other values (78) 186
61.8%
ASCII
ValueCountFrequency (%)
1 18
19.8%
2 17
18.7%
10
11.0%
4 8
8.8%
7 8
8.8%
6 7
 
7.7%
3 6
 
6.6%
5 5
 
5.5%
8 5
 
5.5%
9 4
 
4.4%
Other values (2) 3
 
3.3%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
공영
60 

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 60
100.0%

Length

2024-03-14T22:05:56.767802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:57.069161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 60
100.0%

주차장유형
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
노외
32 
노상
24 
부설

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 32
53.3%
노상 24
40.0%
부설 4
 
6.7%

Length

2024-03-14T22:05:57.385679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:05:57.711887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 32
53.3%
노상 24
40.0%
부설 4
 
6.7%
Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-03-14T22:05:58.739610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length7.9166667
Min length5

Characters and Unicode

Total characters475
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)96.7%

Sample

1st row학동로426
2nd row삼성로628
3rd row선릉로108길27
4th row개포로509
5th row양재대로478
ValueCountFrequency (%)
역삼로107길 2
 
2.5%
논현로131길 2
 
2.5%
개포동 2
 
2.5%
13 2
 
2.5%
선릉로108길27 1
 
1.2%
언주로171길 1
 
1.2%
테헤란로26길 1
 
1.2%
개포로140길 1
 
1.2%
일원로9길 1
 
1.2%
5 1
 
1.2%
Other values (67) 67
82.7%
2024-03-14T22:06:00.257035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
12.6%
50
 
10.5%
1 35
 
7.4%
2 27
 
5.7%
6 24
 
5.1%
22
 
4.6%
3 21
 
4.4%
7 20
 
4.2%
4 15
 
3.2%
8 14
 
2.9%
Other values (46) 187
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
55.4%
Decimal Number 186
39.2%
Space Separator 22
 
4.6%
Other Punctuation 2
 
0.4%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
22.8%
50
19.0%
10
 
3.8%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
7
 
2.7%
7
 
2.7%
7
 
2.7%
Other values (33) 90
34.2%
Decimal Number
ValueCountFrequency (%)
1 35
18.8%
2 27
14.5%
6 24
12.9%
3 21
11.3%
7 20
10.8%
4 15
8.1%
8 14
 
7.5%
5 11
 
5.9%
9 10
 
5.4%
0 9
 
4.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
55.4%
Common 212
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
22.8%
50
19.0%
10
 
3.8%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
7
 
2.7%
7
 
2.7%
7
 
2.7%
Other values (33) 90
34.2%
Common
ValueCountFrequency (%)
1 35
16.5%
2 27
12.7%
6 24
11.3%
22
10.4%
3 21
9.9%
7 20
9.4%
4 15
7.1%
8 14
 
6.6%
5 11
 
5.2%
9 10
 
4.7%
Other values (3) 13
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
55.4%
ASCII 212
44.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
60
22.8%
50
19.0%
10
 
3.8%
8
 
3.0%
8
 
3.0%
8
 
3.0%
8
 
3.0%
7
 
2.7%
7
 
2.7%
7
 
2.7%
Other values (33) 90
34.2%
ASCII
ValueCountFrequency (%)
1 35
16.5%
2 27
12.7%
6 24
11.3%
22
10.4%
3 21
9.9%
7 20
9.4%
4 15
7.1%
8 14
 
6.6%
5 11
 
5.2%
9 10
 
4.7%
Other values (3) 13
 
6.1%
Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-03-14T22:06:01.167312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.3333333
Min length4

Characters and Unicode

Total characters560
Distinct characters52
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row삼성동 16-1
2nd row삼성동 66
3rd row삼성동113-26외1필지
4th row개포동183-2외4필지
5th row개포동567-25외10
ValueCountFrequency (%)
주변 11
 
9.6%
대치동 8
 
7.0%
역삼동 6
 
5.2%
삼성동 5
 
4.3%
논현동 3
 
2.6%
신사동 3
 
2.6%
일원동 2
 
1.7%
청담동 2
 
1.7%
개포동 2
 
1.7%
대치4동 2
 
1.7%
Other values (69) 71
61.7%
2024-03-14T22:06:02.296867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
10.4%
57
 
10.2%
1 48
 
8.6%
2 43
 
7.7%
- 34
 
6.1%
6 27
 
4.8%
4 19
 
3.4%
3 18
 
3.2%
7 17
 
3.0%
5 16
 
2.9%
Other values (42) 223
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
42.5%
Decimal Number 229
40.9%
Space Separator 58
 
10.4%
Dash Punctuation 34
 
6.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
23.9%
15
 
6.3%
14
 
5.9%
14
 
5.9%
12
 
5.0%
11
 
4.6%
8
 
3.4%
8
 
3.4%
8
 
3.4%
7
 
2.9%
Other values (29) 84
35.3%
Decimal Number
ValueCountFrequency (%)
1 48
21.0%
2 43
18.8%
6 27
11.8%
4 19
 
8.3%
3 18
 
7.9%
7 17
 
7.4%
5 16
 
7.0%
0 14
 
6.1%
9 14
 
6.1%
8 13
 
5.7%
Space Separator
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 322
57.5%
Hangul 238
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
23.9%
15
 
6.3%
14
 
5.9%
14
 
5.9%
12
 
5.0%
11
 
4.6%
8
 
3.4%
8
 
3.4%
8
 
3.4%
7
 
2.9%
Other values (29) 84
35.3%
Common
ValueCountFrequency (%)
58
18.0%
1 48
14.9%
2 43
13.4%
- 34
10.6%
6 27
8.4%
4 19
 
5.9%
3 18
 
5.6%
7 17
 
5.3%
5 16
 
5.0%
0 14
 
4.3%
Other values (3) 28
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 322
57.5%
Hangul 238
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
18.0%
1 48
14.9%
2 43
13.4%
- 34
10.6%
6 27
8.4%
4 19
 
5.9%
3 18
 
5.6%
7 17
 
5.3%
5 16
 
5.0%
0 14
 
4.3%
Other values (3) 28
8.7%
Hangul
ValueCountFrequency (%)
57
23.9%
15
 
6.3%
14
 
5.9%
14
 
5.9%
12
 
5.0%
11
 
4.6%
8
 
3.4%
8
 
3.4%
8
 
3.4%
7
 
2.9%
Other values (29) 84
35.3%

주차구획수
Real number (ℝ)

Distinct49
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.15
Minimum8
Maximum343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-14T22:06:02.542753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12.85
Q130
median66
Q3137
95-th percentile221.35
Maximum343
Range335
Interquartile range (IQR)107

Descriptive statistics

Standard deviation79.020234
Coefficient of variation (CV)0.86692523
Kurtosis1.2536986
Mean91.15
Median Absolute Deviation (MAD)44.5
Skewness1.2549086
Sum5469
Variance6244.1975
MonotonicityNot monotonic
2024-03-14T22:06:02.812682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
66 4
 
6.7%
13 2
 
3.3%
137 2
 
3.3%
42 2
 
3.3%
32 2
 
3.3%
21 2
 
3.3%
30 2
 
3.3%
16 2
 
3.3%
10 2
 
3.3%
22 1
 
1.7%
Other values (39) 39
65.0%
ValueCountFrequency (%)
8 1
1.7%
10 2
3.3%
13 2
3.3%
16 2
3.3%
17 1
1.7%
19 1
1.7%
21 2
3.3%
22 1
1.7%
25 1
1.7%
26 1
1.7%
ValueCountFrequency (%)
343 1
1.7%
322 1
1.7%
247 1
1.7%
220 1
1.7%
215 1
1.7%
203 1
1.7%
195 1
1.7%
189 1
1.7%
186 1
1.7%
185 1
1.7%

장애인주차면
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0333333
Minimum0
Maximum11
Zeros8
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-14T22:06:03.033900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6230185
Coefficient of variation (CV)0.86473137
Kurtosis0.62323356
Mean3.0333333
Median Absolute Deviation (MAD)2
Skewness1.0059519
Sum182
Variance6.880226
MonotonicityNot monotonic
2024-03-14T22:06:03.374548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 15
25.0%
4 9
15.0%
2 8
13.3%
0 8
13.3%
3 6
 
10.0%
6 6
 
10.0%
5 2
 
3.3%
8 2
 
3.3%
7 2
 
3.3%
11 1
 
1.7%
ValueCountFrequency (%)
0 8
13.3%
1 15
25.0%
2 8
13.3%
3 6
 
10.0%
4 9
15.0%
5 2
 
3.3%
6 6
 
10.0%
7 2
 
3.3%
8 2
 
3.3%
10 1
 
1.7%
ValueCountFrequency (%)
11 1
 
1.7%
10 1
 
1.7%
8 2
 
3.3%
7 2
 
3.3%
6 6
 
10.0%
5 2
 
3.3%
4 9
15.0%
3 6
 
10.0%
2 8
13.3%
1 15
25.0%

가족배려주차면
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.9
Minimum0
Maximum72
Zeros18
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-14T22:06:03.735761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.5
Q325
95-th percentile50.05
Maximum72
Range72
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.445994
Coefficient of variation (CV)1.1708721
Kurtosis1.1720836
Mean14.9
Median Absolute Deviation (MAD)8.5
Skewness1.3160706
Sum894
Variance304.36271
MonotonicityNot monotonic
2024-03-14T22:06:04.144617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 18
30.0%
9 3
 
5.0%
5 3
 
5.0%
6 3
 
5.0%
25 2
 
3.3%
39 2
 
3.3%
13 2
 
3.3%
36 2
 
3.3%
14 2
 
3.3%
3 2
 
3.3%
Other values (20) 21
35.0%
ValueCountFrequency (%)
0 18
30.0%
2 1
 
1.7%
3 2
 
3.3%
4 1
 
1.7%
5 3
 
5.0%
6 3
 
5.0%
7 1
 
1.7%
8 1
 
1.7%
9 3
 
5.0%
10 1
 
1.7%
ValueCountFrequency (%)
72 1
1.7%
60 1
1.7%
51 1
1.7%
50 1
1.7%
42 1
1.7%
41 1
1.7%
39 2
3.3%
36 2
3.3%
34 1
1.7%
31 1
1.7%

경차주차면
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.55
Minimum0
Maximum21
Zeros43
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-14T22:06:04.536513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.25
95-th percentile9.05
Maximum21
Range21
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation3.6611798
Coefficient of variation (CV)2.3620515
Kurtosis13.789531
Mean1.55
Median Absolute Deviation (MAD)0
Skewness3.409202
Sum93
Variance13.404237
MonotonicityNot monotonic
2024-03-14T22:06:04.869244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 43
71.7%
3 4
 
6.7%
2 4
 
6.7%
1 2
 
3.3%
7 1
 
1.7%
10 1
 
1.7%
21 1
 
1.7%
8 1
 
1.7%
5 1
 
1.7%
11 1
 
1.7%
ValueCountFrequency (%)
0 43
71.7%
1 2
 
3.3%
2 4
 
6.7%
3 4
 
6.7%
5 1
 
1.7%
7 1
 
1.7%
8 1
 
1.7%
9 1
 
1.7%
10 1
 
1.7%
11 1
 
1.7%
ValueCountFrequency (%)
21 1
 
1.7%
11 1
 
1.7%
10 1
 
1.7%
9 1
 
1.7%
8 1
 
1.7%
7 1
 
1.7%
5 1
 
1.7%
3 4
6.7%
2 4
6.7%
1 2
3.3%

환경친화적
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum0
Maximum17
Zeros25
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-03-14T22:06:05.192101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile11.05
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.4631258
Coefficient of variation (CV)1.1901669
Kurtosis0.49621807
Mean3.75
Median Absolute Deviation (MAD)2
Skewness1.1106272
Sum225
Variance19.919492
MonotonicityNot monotonic
2024-03-14T22:06:05.564179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 25
41.7%
5 4
 
6.7%
4 4
 
6.7%
3 4
 
6.7%
10 4
 
6.7%
1 3
 
5.0%
7 3
 
5.0%
2 3
 
5.0%
8 2
 
3.3%
9 2
 
3.3%
Other values (5) 6
 
10.0%
ValueCountFrequency (%)
0 25
41.7%
1 3
 
5.0%
2 3
 
5.0%
3 4
 
6.7%
4 4
 
6.7%
5 4
 
6.7%
6 1
 
1.7%
7 3
 
5.0%
8 2
 
3.3%
9 2
 
3.3%
ValueCountFrequency (%)
17 1
 
1.7%
16 1
 
1.7%
12 1
 
1.7%
11 2
3.3%
10 4
6.7%
9 2
3.3%
8 2
3.3%
7 3
5.0%
6 1
 
1.7%
5 4
6.7%

대형차 주차면
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
0
59 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
98.3%
2 1
 
1.7%

Length

2024-03-14T22:06:05.968521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:06.274254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
98.3%
2 1
 
1.7%

급지구분
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
1
24 
2
15 
3
4
급지없음

Length

Max length4
Median length1
Mean length1.2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row급지없음
2nd row급지없음
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 24
40.0%
2 15
25.0%
3 9
 
15.0%
4 8
 
13.3%
급지없음 4
 
6.7%

Length

2024-03-14T22:06:06.619441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:07.165707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
40.0%
2 15
25.0%
3 9
 
15.0%
4 8
 
13.3%
급지없음 4
 
6.7%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
미시행
60 

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 60
100.0%

Length

2024-03-14T22:06:07.540060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:07.847910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 60
100.0%

운영요일
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
평일+토요일+공휴일
30 
평일
28 
평일+토요일+공휴일(단, 일요일 00시~12시 운영)
 
1
평일+토요일+공휴일(단, 일요일 제외 공휴일 미 운영)
 
1

Length

Max length30
Median length29.5
Mean length6.9166667
Min length2

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 30
50.0%
평일 28
46.7%
평일+토요일+공휴일(단, 일요일 00시~12시 운영) 1
 
1.7%
평일+토요일+공휴일(단, 일요일 제외 공휴일 미 운영) 1
 
1.7%

Length

2024-03-14T22:06:08.187474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:08.515210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 30
44.1%
평일 28
41.2%
평일+토요일+공휴일(단 2
 
2.9%
일요일 2
 
2.9%
운영 2
 
2.9%
00시~12시 1
 
1.5%
제외 1
 
1.5%
공휴일 1
 
1.5%
1
 
1.5%
Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
00:00:00
30 
09:00:00
25 
10:00:00
 
2
11:00:00
 
2
08:00:00
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
00:00:00 30
50.0%
09:00:00 25
41.7%
10:00:00 2
 
3.3%
11:00:00 2
 
3.3%
08:00:00 1
 
1.7%

Length

2024-03-14T22:06:08.884439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:09.214864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 30
50.0%
09:00:00 25
41.7%
10:00:00 2
 
3.3%
11:00:00 2
 
3.3%
08:00:00 1
 
1.7%
Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
00:00:00
30 
19:00:00
23 
21:00:00
 
3
20:00:00
 
2
18:00:00
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row19:00:00
2nd row18:00:00
3rd row00:00:00
4th row00:00:00
5th row19:00:00

Common Values

ValueCountFrequency (%)
00:00:00 30
50.0%
19:00:00 23
38.3%
21:00:00 3
 
5.0%
20:00:00 2
 
3.3%
18:00:00 1
 
1.7%
22:00:00 1
 
1.7%

Length

2024-03-14T22:06:09.583724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:09.915080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 30
50.0%
19:00:00 23
38.3%
21:00:00 3
 
5.0%
20:00:00 2
 
3.3%
18:00:00 1
 
1.7%
22:00:00 1
 
1.7%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
00:00:00
34 
<NA>
24 
09:00:00
 
2

Length

Max length8
Median length8
Mean length6.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00:00 34
56.7%
<NA> 24
40.0%
09:00:00 2
 
3.3%

Length

2024-03-14T22:06:10.342921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:10.641122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 34
56.7%
na 24
40.0%
09:00:00 2
 
3.3%
Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
00:00:00
34 
<NA>
24 
22:00:00
 
1
21:00:00
 
1

Length

Max length8
Median length8
Mean length6.4
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
00:00:00 34
56.7%
<NA> 24
40.0%
22:00:00 1
 
1.7%
21:00:00 1
 
1.7%

Length

2024-03-14T22:06:10.851384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:11.052048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 34
56.7%
na 24
40.0%
22:00:00 1
 
1.7%
21:00:00 1
 
1.7%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
00:00:00
34 
<NA>
24 
09:00:00
 
2

Length

Max length8
Median length8
Mean length6.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
00:00:00 34
56.7%
<NA> 24
40.0%
09:00:00 2
 
3.3%

Length

2024-03-14T22:06:11.270018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:11.538685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 34
56.7%
na 24
40.0%
09:00:00 2
 
3.3%
Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
00:00:00
34 
<NA>
24 
22:00:00
 
1
21:00:00
 
1

Length

Max length8
Median length8
Mean length6.4
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
00:00:00 34
56.7%
<NA> 24
40.0%
22:00:00 1
 
1.7%
21:00:00 1
 
1.7%

Length

2024-03-14T22:06:11.930555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:12.289597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 34
56.7%
na 24
40.0%
22:00:00 1
 
1.7%
21:00:00 1
 
1.7%

주차기본시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
5분
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5분
2nd row5분
3rd row5분
4th row5분
5th row5분

Common Values

ValueCountFrequency (%)
5분 60
100.0%

Length

2024-03-14T22:06:12.652677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:12.981983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5분 60
100.0%
Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
400
24 
300
18 
200
10 
100

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300
2nd row300
3rd row400
4th row200
5th row200

Common Values

ValueCountFrequency (%)
400 24
40.0%
300 18
30.0%
200 10
16.7%
100 8
 
13.3%

Length

2024-03-14T22:06:13.298944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:13.624326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
400 24
40.0%
300 18
30.0%
200 10
16.7%
100 8
 
13.3%
Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
미운영
16 
120000
16 
280000
150000
180000
Other values (3)

Length

Max length7
Median length7
Mean length5.8
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row미운영
2nd row미운영
3rd row280000
4th row120000
5th row120000

Common Values

ValueCountFrequency (%)
미운영 16
26.7%
120000 16
26.7%
280000 7
11.7%
150000 6
 
10.0%
180000 6
 
10.0%
70000 6
 
10.0%
80000 2
 
3.3%
230000 1
 
1.7%

Length

2024-03-14T22:06:14.023961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:14.391423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 16
26.7%
120000 16
26.7%
280000 7
11.7%
150000 6
 
10.0%
180000 6
 
10.0%
70000 6
 
10.0%
80000 2
 
3.3%
230000 1
 
1.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
강남구도시관리공단
60 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구도시관리공단 60
100.0%

Length

2024-03-14T22:06:14.795253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:06:15.101541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 60
100.0%

Sample

주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수장애인주차면가족배려주차면경차주차면환경친화적대형차 주차면급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각주차기본시간주차기본요금월정기권요금관리기관명
0강남구청 부설공영부설학동로426삼성동 16-1120425310급지없음미시행평일08:00:0019:00:0000:00:0000:00:0000:00:0000:00:005분300미운영강남구도시관리공단
1강남구청 삼성로별관 부설공영부설삼성로628삼성동 664238010급지없음미시행평일09:00:0018:00:0000:00:0000:00:0000:00:0000:00:005분300미운영강남구도시관리공단
2강남치매안심센터공영노외선릉로108길27삼성동113-26외1필지904247501미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분400280000강남구도시관리공단
3개포동공원공영노외개포로509개포동183-2외4필지1455263703미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분200120000강남구도시관리공단
4구룡산제1호공영노외양재대로478개포동567-25외10913190503미시행평일09:00:0019:00:0000:00:0000:00:0000:00:0000:00:005분200120000강남구도시관리공단
5구룡산제2호공영노외개포동 126-2개포동126-21274340703미시행평일09:00:0019:00:0000:00:0000:00:0000:00:0000:00:005분200120000강남구도시관리공단
6남부순환로397길공영노상남부순환로397길대치동 623 주변32130002미시행평일09:00:0019:00:00<NA><NA><NA><NA>5분300120000강남구도시관리공단
7논현로131길공영노상논현로131길논현동58번지 주변21100001미시행평일09:00:0019:00:00<NA><NA><NA><NA>5분400150000강남구도시관리공단
8논현로22길공영노외개포로31길개포동1266863910403미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분200120000강남구도시관리공단
9논현로28길공영노상남부순환로370길도곡동 517 주변662160302미시행평일09:00:0019:00:00<NA><NA><NA><NA>5분300120000강남구도시관리공단
주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수장애인주차면가족배려주차면경차주차면환경친화적대형차 주차면급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각주차기본시간주차기본요금월정기권요금관리기관명
50역삼문화공원 제1호공영노외테헤란로7길21역삼동 635-1247872111202미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분300120000강남구도시관리공단
51역삼문화공원 제2호공영노외테헤란로7길32역삼동 63550292302미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분300120000강남구도시관리공단
52개포4문화센터공영노외개포로24길33개포동120443259103미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분200120000강남구도시관리공단
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54테헤란로78길공영노상테헤란로78길대치동 1011-610000001미시행평일09:00:0019:00:00<NA><NA><NA><NA>5분400미운영강남구도시관리공단
55한티역공영노상선릉로69길, 선릉로63길, 도곡로57길도곡시장 골목길34000001미시행평일09:00:0019:00:00<NA><NA><NA><NA>5분400미운영강남구도시관리공단
56신사역공영노상가로수길79가로수길33100001미시행평일11:00:0021:00:00<NA><NA><NA><NA>5분400미운영강남구도시관리공단
57논현문화마루공영노외논현로131길 40논현동 40-566470201미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분400280000강남구도시관리공단
58논현제1호공영노외학동로6길 19논현동123-1188100201미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분400미운영강남구도시관리공단
59논현제2호공영노외학동로20길 13논현동127-1478200201미시행평일+토요일+공휴일00:00:0000:00:0000:00:0000:00:0000:00:0000:00:005분400280000강남구도시관리공단