Overview

Dataset statistics

Number of variables17
Number of observations149
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory139.9 B

Variable types

Numeric3
Text4
Categorical10

Dataset

Description성남시 명절 연휴기간 중 개방 주차장정보(주차장명,주차장유형,주소,위도,경도,관리기관,전화번호,일자별개방시작/종료시간 등)입니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15031775/fileData.do

Alerts

담당자연락처 is highly overall correlated with 순번 and 10 other fieldsHigh correlation
10월03일(화) is highly overall correlated with 순번 and 8 other fieldsHigh correlation
담당자명 is highly overall correlated with 순번 and 10 other fieldsHigh correlation
9월28일(목) is highly overall correlated with 순번 and 8 other fieldsHigh correlation
기관명 is highly overall correlated with 담당자명 and 1 other fieldsHigh correlation
09월30일(토) is highly overall correlated with 순번 and 8 other fieldsHigh correlation
10월01일(일) is highly overall correlated with 순번 and 8 other fieldsHigh correlation
09월29일(금) is highly overall correlated with 순번 and 8 other fieldsHigh correlation
10월02일(월) is highly overall correlated with 순번 and 8 other fieldsHigh correlation
순번 is highly overall correlated with 담당자명 and 8 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
주차장유형 is highly overall correlated with 순번 and 8 other fieldsHigh correlation
기관명 is highly imbalanced (56.2%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:53:32.459593
Analysis finished2023-12-12 22:53:35.169107
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75
Minimum1
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:53:35.255615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.4
Q138
median75
Q3112
95-th percentile141.6
Maximum149
Range148
Interquartile range (IQR)74

Descriptive statistics

Standard deviation43.156691
Coefficient of variation (CV)0.57542255
Kurtosis-1.2
Mean75
Median Absolute Deviation (MAD)37
Skewness0
Sum11175
Variance1862.5
MonotonicityStrictly increasing
2023-12-13T07:53:35.389566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (139) 139
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%

주차장명
Text

Distinct128
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:53:35.643533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.2080537
Min length2

Characters and Unicode

Total characters776
Distinct characters106
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

Unique126 ?
Unique (%)84.6%

Sample

1st row수내동119-2
2nd row복정동634
3rd row수상11-1
4th row수상11
5th row수상9,10
ValueCountFrequency (%)
나눔주차장 16
 
10.1%
무료나눔주차장 7
 
4.4%
부설주차장 4
 
2.5%
주차장 3
 
1.9%
복정동634 1
 
0.6%
금광2동제1 1
 
0.6%
은행2동제4 1
 
0.6%
은행2동제3 1
 
0.6%
은행1동제2 1
 
0.6%
신흥3동 1
 
0.6%
Other values (123) 123
77.4%
2023-12-13T07:53:36.055134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
중 65
 
8.4%
상 58
 
7.5%
1 41
 
5.3%
차 32
 
4.1%
주 31
 
4.0%
장 31
 
4.0%
2 30
 
3.9%
나 23
 
3.0%
눔 23
 
3.0%
동 22
 
2.8%
Other values (96) 420
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
69.2%
Decimal Number 195
 
25.1%
Other Punctuation 20
 
2.6%
Space Separator 10
 
1.3%
Dash Punctuation 10
 
1.3%
Uppercase Letter 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 65
 
12.1%
상 58
 
10.8%
차 32
 
6.0%
주 31
 
5.8%
장 31
 
5.8%
나 23
 
4.3%
눔 23
 
4.3%
동 22
 
4.1%
제 19
 
3.5%
수 17
 
3.2%
Other values (79) 216
40.2%
Decimal Number
ValueCountFrequency (%)
1 41
21.0%
2 30
15.4%
4 20
10.3%
7 19
9.7%
3 18
9.2%
5 17
8.7%
0 14
 
7.2%
6 12
 
6.2%
8 12
 
6.2%
9 12
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
69.2%
Common 237
30.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 65
 
12.1%
상 58
 
10.8%
차 32
 
6.0%
주 31
 
5.8%
장 31
 
5.8%
나 23
 
4.3%
눔 23
 
4.3%
동 22
 
4.1%
제 19
 
3.5%
수 17
 
3.2%
Other values (79) 216
40.2%
Common
ValueCountFrequency (%)
1 41
17.3%
2 30
12.7%
4 20
8.4%
, 20
8.4%
7 19
8.0%
3 18
7.6%
5 17
7.2%
0 14
 
5.9%
6 12
 
5.1%
8 12
 
5.1%
Other values (5) 34
14.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
69.2%
ASCII 239
30.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
중 65
 
12.1%
상 58
 
10.8%
차 32
 
6.0%
주 31
 
5.8%
장 31
 
5.8%
나 23
 
4.3%
눔 23
 
4.3%
동 22
 
4.1%
제 19
 
3.5%
수 17
 
3.2%
Other values (79) 216
40.2%
ASCII
ValueCountFrequency (%)
1 41
17.2%
2 30
12.6%
4 20
8.4%
, 20
8.4%
7 19
7.9%
3 18
7.5%
5 17
7.1%
0 14
 
5.9%
6 12
 
5.0%
8 12
 
5.0%
Other values (7) 36
15.1%

기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
성남도시개발공사
112 
성남시 수정구청
 
9
성남시 중원구청
 
9
성남시 분당구청
 
8
성남시 도서관사업소
 
6
Other values (5)
 
5

Length

Max length15
Median length8
Mean length8.147651
Min length6

Unique

Unique5 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
성남도시개발공사 112
75.2%
성남시 수정구청 9
 
6.0%
성남시 중원구청 9
 
6.0%
성남시 분당구청 8
 
5.4%
성남시 도서관사업소 6
 
4.0%
성남문화재단 1
 
0.7%
성남시 문화예술과 1
 
0.7%
성남시 차량등록사업소 1
 
0.7%
성남시 미래교육과 1
 
0.7%
성남시 행정기획조정실 총무과 1
 
0.7%

Length

2023-12-13T07:53:36.228141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:36.373315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남도시개발공사 112
60.2%
성남시 36
 
19.4%
수정구청 9
 
4.8%
중원구청 9
 
4.8%
분당구청 8
 
4.3%
도서관사업소 6
 
3.2%
성남문화재단 1
 
0.5%
문화예술과 1
 
0.5%
차량등록사업소 1
 
0.5%
미래교육과 1
 
0.5%
Other values (2) 2
 
1.1%

담당자명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
박의성
70 
김형수
16 
박민수
12 
오은석
12 
김선균
8 
Other values (17)
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique14 ?
Unique (%)9.4%

Sample

1st row공기연
2nd row공기연
3rd row박의성
4th row박의성
5th row박의성

Common Values

ValueCountFrequency (%)
박의성 70
47.0%
김형수 16
 
10.7%
박민수 12
 
8.1%
오은석 12
 
8.1%
김선균 8
 
5.4%
심현보 8
 
5.4%
이보람 7
 
4.7%
공기연 2
 
1.3%
한화석 1
 
0.7%
윤귀복 1
 
0.7%
Other values (12) 12
 
8.1%

Length

2023-12-13T07:53:36.544776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
박의성 70
47.0%
김형수 16
 
10.7%
박민수 12
 
8.1%
오은석 12
 
8.1%
김선균 8
 
5.4%
심현보 8
 
5.4%
이보람 7
 
4.7%
공기연 2
 
1.3%
강창원 1
 
0.7%
신재현 1
 
0.7%
Other values (12) 12
 
8.1%

담당자연락처
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
031-725-9419
70 
031-725-9447
16 
031-710-3824
12 
031-725-9435
12 
031-729-6434
8 
Other values (17)
31 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique14 ?
Unique (%)9.4%

Sample

1st row031-725-9424
2nd row031-725-9424
3rd row031-725-9419
4th row031-725-9419
5th row031-725-9419

Common Values

ValueCountFrequency (%)
031-725-9419 70
47.0%
031-725-9447 16
 
10.7%
031-710-3824 12
 
8.1%
031-725-9435 12
 
8.1%
031-729-6434 8
 
5.4%
031-729-5431 8
 
5.4%
031-729-7434 7
 
4.7%
031-725-9424 2
 
1.3%
031-729-4612 1
 
0.7%
031-783-8296 1
 
0.7%
Other values (12) 12
 
8.1%

Length

2023-12-13T07:53:36.695563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-725-9419 70
47.0%
031-725-9447 16
 
10.7%
031-710-3824 12
 
8.1%
031-725-9435 12
 
8.1%
031-729-6434 8
 
5.4%
031-729-5431 8
 
5.4%
031-729-7434 7
 
4.7%
031-725-9424 2
 
1.3%
031-729-2697 1
 
0.7%
031-729-7027 1
 
0.7%
Other values (12) 12
 
8.1%

주소
Text

Distinct147
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:53:37.130599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length20.577181
Min length17

Characters and Unicode

Total characters3066
Distinct characters91
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

Unique145 ?
Unique (%)97.3%

Sample

1st row경기도 성남시 분당구 수내동 119-2
2nd row경기도 성남시 수정구 복정동 634
3rd row경기도 성남시 수정구 산성대로 183
4th row경기도 성남시 수정구 산성대로 191
5th row경기도 성남시 수정구 산성대로 195
ValueCountFrequency (%)
경기도 149
19.8%
성남시 149
19.8%
중원구 79
 
10.5%
산성대로 46
 
6.1%
수정구 41
 
5.5%
분당구 29
 
3.9%
둔촌대로 16
 
2.1%
운중동 7
 
0.9%
복정동 5
 
0.7%
광명로 5
 
0.7%
Other values (195) 225
30.0%
2023-12-13T07:53:37.676330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
19.6%
성 199
 
6.5%
남 154
 
5.0%
기 152
 
5.0%
구 150
 
4.9%
경 149
 
4.9%
도 149
 
4.9%
시 149
 
4.9%
로 107
 
3.5%
중 88
 
2.9%
Other values (81) 1167
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1940
63.3%
Space Separator 602
 
19.6%
Decimal Number 489
 
15.9%
Dash Punctuation 26
 
0.8%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 199
 
10.3%
남 154
 
7.9%
기 152
 
7.8%
구 150
 
7.7%
경 149
 
7.7%
도 149
 
7.7%
시 149
 
7.7%
로 107
 
5.5%
중 88
 
4.5%
원 86
 
4.4%
Other values (66) 557
28.7%
Decimal Number
ValueCountFrequency (%)
1 76
15.5%
2 62
12.7%
0 61
12.5%
3 57
11.7%
4 51
10.4%
5 50
10.2%
6 39
8.0%
9 34
7.0%
7 32
6.5%
8 27
 
5.5%
Space Separator
ValueCountFrequency (%)
602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1940
63.3%
Common 1126
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 199
 
10.3%
남 154
 
7.9%
기 152
 
7.8%
구 150
 
7.7%
경 149
 
7.7%
도 149
 
7.7%
시 149
 
7.7%
로 107
 
5.5%
중 88
 
4.5%
원 86
 
4.4%
Other values (66) 557
28.7%
Common
ValueCountFrequency (%)
602
53.5%
1 76
 
6.7%
2 62
 
5.5%
0 61
 
5.4%
3 57
 
5.1%
4 51
 
4.5%
5 50
 
4.4%
6 39
 
3.5%
9 34
 
3.0%
7 32
 
2.8%
Other values (5) 62
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1940
63.3%
ASCII 1126
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
53.5%
1 76
 
6.7%
2 62
 
5.5%
0 61
 
5.4%
3 57
 
5.1%
4 51
 
4.5%
5 50
 
4.4%
6 39
 
3.5%
9 34
 
3.0%
7 32
 
2.8%
Other values (5) 62
 
5.5%
Hangul
ValueCountFrequency (%)
성 199
 
10.3%
남 154
 
7.9%
기 152
 
7.8%
구 150
 
7.7%
경 149
 
7.7%
도 149
 
7.7%
시 149
 
7.7%
로 107
 
5.5%
중 88
 
4.5%
원 86
 
4.4%
Other values (66) 557
28.7%

위치
Text

Distinct84
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:53:37.935857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length16
Mean length8.5771812
Min length3

Characters and Unicode

Total characters1278
Distinct characters270
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)53.0%

Sample

1st row수내고교아래(지평식)
2nd row환승주차장 뒤(복정역부근)
3rd row수산타워～황금주단
4th row지인창호～수산타워
5th row으뜸자동차병원～쿠테타
ValueCountFrequency (%)
해당주소지 41
19.9%
공한지 20
 
9.7%
주택가 20
 
9.7%
앞 17
 
8.3%
건물 7
 
3.4%
옆 4
 
1.9%
본관옆 3
 
1.5%
성호시장앞 2
 
1.0%
부지 2
 
1.0%
지하주차장 2
 
1.0%
Other values (88) 88
42.7%
2023-12-13T07:53:38.320423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 78
 
6.1%
주 73
 
5.7%
～ 67
 
5.2%
57
 
4.5%
소 45
 
3.5%
당 43
 
3.4%
해 42
 
3.3%
가 29
 
2.3%
한 29
 
2.3%
공 25
 
2.0%
Other values (260) 790
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1117
87.4%
Math Symbol 67
 
5.2%
Space Separator 57
 
4.5%
Uppercase Letter 18
 
1.4%
Decimal Number 9
 
0.7%
Other Punctuation 6
 
0.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 78
 
7.0%
주 73
 
6.5%
소 45
 
4.0%
당 43
 
3.8%
해 42
 
3.8%
가 29
 
2.6%
한 29
 
2.6%
공 25
 
2.2%
앞 21
 
1.9%
택 21
 
1.9%
Other values (241) 711
63.7%
Uppercase Letter
ValueCountFrequency (%)
S 5
27.8%
G 4
22.2%
L 2
 
11.1%
K 2
 
11.1%
H 1
 
5.6%
A 1
 
5.6%
C 1
 
5.6%
Y 1
 
5.6%
B 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
2 2
22.2%
0 2
22.2%
1 1
 
11.1%
5 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
～ 67
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1117
87.4%
Common 143
 
11.2%
Latin 18
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 78
 
7.0%
주 73
 
6.5%
소 45
 
4.0%
당 43
 
3.8%
해 42
 
3.8%
가 29
 
2.6%
한 29
 
2.6%
공 25
 
2.2%
앞 21
 
1.9%
택 21
 
1.9%
Other values (241) 711
63.7%
Common
ValueCountFrequency (%)
～ 67
46.9%
57
39.9%
, 6
 
4.2%
4 3
 
2.1%
( 2
 
1.4%
) 2
 
1.4%
2 2
 
1.4%
0 2
 
1.4%
1 1
 
0.7%
5 1
 
0.7%
Latin
ValueCountFrequency (%)
S 5
27.8%
G 4
22.2%
L 2
 
11.1%
K 2
 
11.1%
H 1
 
5.6%
A 1
 
5.6%
C 1
 
5.6%
Y 1
 
5.6%
B 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1117
87.4%
ASCII 94
 
7.4%
None 67
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 78
 
7.0%
주 73
 
6.5%
소 45
 
4.0%
당 43
 
3.8%
해 42
 
3.8%
가 29
 
2.6%
한 29
 
2.6%
공 25
 
2.2%
앞 21
 
1.9%
택 21
 
1.9%
Other values (241) 711
63.7%
None
ValueCountFrequency (%)
～ 67
100.0%
ASCII
ValueCountFrequency (%)
57
60.6%
, 6
 
6.4%
S 5
 
5.3%
G 4
 
4.3%
4 3
 
3.2%
L 2
 
2.1%
( 2
 
2.1%
) 2
 
2.1%
K 2
 
2.1%
2 2
 
2.1%
Other values (8) 9
 
9.6%

주차장유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
노상
67 
노외
57 
부설
12 
중앙부설
11 
기타(거주자전용)
 
2

Length

Max length9
Median length2
Mean length2.2416107
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타(거주자전용)
2nd row기타(거주자전용)
3rd row노상
4th row노상
5th row노상

Common Values

ValueCountFrequency (%)
노상 67
45.0%
노외 57
38.3%
부설 12
 
8.1%
중앙부설 11
 
7.4%
기타(거주자전용) 2
 
1.3%

Length

2023-12-13T07:53:38.516266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:38.665528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 67
45.0%
노외 57
38.3%
부설 12
 
8.1%
중앙부설 11
 
7.4%
기타(거주자전용 2
 
1.3%

9월28일(목)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종일 개방
109 
종일개방
40 

Length

Max length5
Median length5
Mean length4.7315436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종일 개방
2nd row종일 개방
3rd row종일 개방
4th row종일 개방
5th row종일 개방

Common Values

ValueCountFrequency (%)
종일 개방 109
73.2%
종일개방 40
 
26.8%

Length

2023-12-13T07:53:38.824068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:38.918053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일 109
42.2%
개방 109
42.2%
종일개방 40
 
15.5%

09월29일(금)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종일 개방
109 
종일개방
40 

Length

Max length5
Median length5
Mean length4.7315436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종일 개방
2nd row종일 개방
3rd row종일 개방
4th row종일 개방
5th row종일 개방

Common Values

ValueCountFrequency (%)
종일 개방 109
73.2%
종일개방 40
 
26.8%

Length

2023-12-13T07:53:39.030398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:39.145259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일 109
42.2%
개방 109
42.2%
종일개방 40
 
15.5%

09월30일(토)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종일 개방
109 
종일개방
40 

Length

Max length5
Median length5
Mean length4.7315436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종일 개방
2nd row종일 개방
3rd row종일 개방
4th row종일 개방
5th row종일 개방

Common Values

ValueCountFrequency (%)
종일 개방 109
73.2%
종일개방 40
 
26.8%

Length

2023-12-13T07:53:39.248975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:39.351765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일 109
42.2%
개방 109
42.2%
종일개방 40
 
15.5%

10월01일(일)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종일 개방
109 
정상운영
40 

Length

Max length5
Median length5
Mean length4.7315436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종일 개방
2nd row종일 개방
3rd row종일 개방
4th row종일 개방
5th row종일 개방

Common Values

ValueCountFrequency (%)
종일 개방 109
73.2%
정상운영 40
 
26.8%

Length

2023-12-13T07:53:39.454434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:39.556201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일 109
42.2%
개방 109
42.2%
정상운영 40
 
15.5%

10월02일(월)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종일 개방
109 
정상운영
40 

Length

Max length5
Median length5
Mean length4.7315436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종일 개방
2nd row종일 개방
3rd row종일 개방
4th row종일 개방
5th row종일 개방

Common Values

ValueCountFrequency (%)
종일 개방 109
73.2%
정상운영 40
 
26.8%

Length

2023-12-13T07:53:39.666354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:39.799619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일 109
42.2%
개방 109
42.2%
정상운영 40
 
15.5%

10월03일(화)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종일 개방
109 
정상운영
40 

Length

Max length5
Median length5
Mean length4.7315436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종일 개방
2nd row종일 개방
3rd row종일 개방
4th row종일 개방
5th row종일 개방

Common Values

ValueCountFrequency (%)
종일 개방 109
73.2%
정상운영 40
 
26.8%

Length

2023-12-13T07:53:39.898582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:53:39.991950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종일 109
42.2%
개방 109
42.2%
정상운영 40
 
15.5%

참고사항
Text

Distinct91
Distinct (%)61.5%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2023-12-13T07:53:40.160126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length66
Mean length10.283784
Min length2

Characters and Unicode

Total characters1522
Distinct characters84
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)42.6%

Sample

1st row150면
2nd row74면
3rd row24면
4th row33면
5th row36면
ValueCountFrequency (%)
주차면수 18
 
6.3%
16
 
5.6%
명절 14
 
4.9%
높음 11
 
3.9%
만차가능성 11
 
3.9%
15면 8
 
2.8%
14면 7
 
2.5%
차단기 6
 
2.1%
개방 6
 
2.1%
장애면전용:2면,전기차충전소:2면 6
 
2.1%
Other values (117) 181
63.7%
2023-12-13T07:53:40.502541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 230
 
15.1%
137
 
9.0%
전 106
 
7.0%
: 88
 
5.8%
차 78
 
5.1%
1 67
 
4.4%
2 57
 
3.7%
, 54
 
3.5%
장 49
 
3.2%
용 47
 
3.1%
Other values (74) 609
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
61.2%
Decimal Number 297
 
19.5%
Other Punctuation 142
 
9.3%
Space Separator 137
 
9.0%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 230
24.7%
전 106
11.4%
차 78
 
8.4%
장 49
 
5.3%
용 47
 
5.0%
애 44
 
4.7%
기 40
 
4.3%
소 31
 
3.3%
충 31
 
3.3%
주 26
 
2.8%
Other values (59) 250
26.8%
Decimal Number
ValueCountFrequency (%)
1 67
22.6%
2 57
19.2%
3 38
12.8%
4 36
12.1%
0 23
 
7.7%
5 23
 
7.7%
7 16
 
5.4%
8 15
 
5.1%
9 12
 
4.0%
6 10
 
3.4%
Other Punctuation
ValueCountFrequency (%)
: 88
62.0%
, 54
38.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
61.2%
Common 590
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 230
24.7%
전 106
11.4%
차 78
 
8.4%
장 49
 
5.3%
용 47
 
5.0%
애 44
 
4.7%
기 40
 
4.3%
소 31
 
3.3%
충 31
 
3.3%
주 26
 
2.8%
Other values (59) 250
26.8%
Common
ValueCountFrequency (%)
137
23.2%
: 88
14.9%
1 67
11.4%
2 57
9.7%
, 54
 
9.2%
3 38
 
6.4%
4 36
 
6.1%
0 23
 
3.9%
5 23
 
3.9%
7 16
 
2.7%
Other values (5) 51
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
61.2%
ASCII 590
38.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 230
24.7%
전 106
11.4%
차 78
 
8.4%
장 49
 
5.3%
용 47
 
5.0%
애 44
 
4.7%
기 40
 
4.3%
소 31
 
3.3%
충 31
 
3.3%
주 26
 
2.8%
Other values (59) 250
26.8%
ASCII
ValueCountFrequency (%)
137
23.2%
: 88
14.9%
1 67
11.4%
2 57
9.7%
, 54
 
9.2%
3 38
 
6.4%
4 36
 
6.1%
0 23
 
3.9%
5 23
 
3.9%
7 16
 
2.7%
Other values (5) 51
 
8.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct144
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13989
Minimum127.06833
Maximum127.17529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:53:40.629216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06833
5-th percentile127.083
Q1127.12758
median127.14352
Q3127.15901
95-th percentile127.17112
Maximum127.17529
Range0.106954
Interquartile range (IQR)0.0314344

Descriptive statistics

Standard deviation0.024903974
Coefficient of variation (CV)0.00019587853
Kurtosis0.44564987
Mean127.13989
Median Absolute Deviation (MAD)0.0156294
Skewness-0.92977673
Sum18943.843
Variance0.00062020792
MonotonicityNot monotonic
2023-12-13T07:53:40.768408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1396871 4
 
2.7%
127.1160297 3
 
2.0%
127.1286072 1
 
0.7%
127.12448 1
 
0.7%
127.16804 1
 
0.7%
127.10683 1
 
0.7%
127.10831 1
 
0.7%
127.14012 1
 
0.7%
127.15111 1
 
0.7%
127.14719 1
 
0.7%
Other values (134) 134
89.9%
ValueCountFrequency (%)
127.0683336 1
0.7%
127.0704704 1
0.7%
127.0779 1
0.7%
127.07797 1
0.7%
127.0792696 1
0.7%
127.0823286 1
0.7%
127.0823685 1
0.7%
127.0826474 1
0.7%
127.0835306 1
0.7%
127.0849682 1
0.7%
ValueCountFrequency (%)
127.1752876 1
0.7%
127.175167 1
0.7%
127.1751557 1
0.7%
127.1741053 1
0.7%
127.1736537 1
0.7%
127.17208 1
0.7%
127.17188 1
0.7%
127.1711609 1
0.7%
127.1710526 1
0.7%
127.1705826 1
0.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct144
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.42953
Minimum37.343114
Maximum37.468288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:53:40.915582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.343114
5-th percentile37.369451
Q137.42376
median37.438092
Q337.446337
95-th percentile37.460213
Maximum37.468288
Range0.12517409
Interquartile range (IQR)0.02257691

Descriptive statistics

Standard deviation0.027580654
Coefficient of variation (CV)0.00073686883
Kurtosis0.9084123
Mean37.42953
Median Absolute Deviation (MAD)0.0098083
Skewness-1.2539507
Sum5576.9999
Variance0.00076069247
MonotonicityNot monotonic
2023-12-13T07:53:41.042337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4382473 4
 
2.7%
37.430694 3
 
2.0%
37.3666289 1
 
0.7%
37.35936 1
 
0.7%
37.45086 1
 
0.7%
37.3509 1
 
0.7%
37.39645 1
 
0.7%
37.37728 1
 
0.7%
37.38138 1
 
0.7%
37.37355 1
 
0.7%
Other values (134) 134
89.9%
ValueCountFrequency (%)
37.34311355 1
0.7%
37.35081595 1
0.7%
37.3509 1
0.7%
37.35810416 1
0.7%
37.35936 1
0.7%
37.3666289 1
0.7%
37.36677 1
0.7%
37.36684 1
0.7%
37.3733676 1
0.7%
37.37355 1
0.7%
ValueCountFrequency (%)
37.46828764 1
0.7%
37.46807 1
0.7%
37.4678684 1
0.7%
37.4673518 1
0.7%
37.4623898 1
0.7%
37.4617098 1
0.7%
37.46138 1
0.7%
37.4607575 1
0.7%
37.4593971 1
0.7%
37.45906 1
0.7%

Interactions

2023-12-13T07:53:34.273680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:33.732846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:33.991437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:34.381769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:33.806941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:34.089067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:34.467882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:33.891374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:34.165795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:53:41.138206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기관명담당자명담당자연락처위치주차장유형9월28일(목)09월29일(금)09월30일(토)10월01일(일)10월02일(월)10월03일(화)참고사항경도위도
순번1.0000.8620.9000.9000.9080.8910.9860.9860.9860.9860.9860.9860.8790.7250.798
기관명0.8621.0001.0001.0000.0000.7620.3320.3320.3320.3320.3320.3320.9980.6960.830
담당자명0.9001.0001.0001.0000.0000.9531.0001.0001.0001.0001.0001.0000.9990.7800.858
담당자연락처0.9001.0001.0001.0000.0000.9531.0001.0001.0001.0001.0001.0000.9990.7800.858
위치0.9080.0000.0000.0001.0000.9890.9970.9970.9970.9970.9970.9970.0000.0000.000
주차장유형0.8910.7620.9530.9530.9891.0000.6340.6340.6340.6340.6340.6340.9480.6660.729
9월28일(목)0.9860.3321.0001.0000.9970.6341.0001.0001.0001.0001.0001.0001.0000.3090.362
09월29일(금)0.9860.3321.0001.0000.9970.6341.0001.0001.0001.0001.0001.0001.0000.3090.362
09월30일(토)0.9860.3321.0001.0000.9970.6341.0001.0001.0001.0001.0001.0001.0000.3090.362
10월01일(일)0.9860.3321.0001.0000.9970.6341.0001.0001.0001.0001.0001.0001.0000.3090.362
10월02일(월)0.9860.3321.0001.0000.9970.6341.0001.0001.0001.0001.0001.0001.0000.3090.362
10월03일(화)0.9860.3321.0001.0000.9970.6341.0001.0001.0001.0001.0001.0001.0000.3090.362
참고사항0.8790.9980.9990.9990.0000.9481.0001.0001.0001.0001.0001.0001.0000.7770.933
경도0.7250.6960.7800.7800.0000.6660.3090.3090.3090.3090.3090.3090.7771.0000.800
위도0.7980.8300.8580.8580.0000.7290.3620.3620.3620.3620.3620.3620.9330.8001.000
2023-12-13T07:53:41.293032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당자연락처10월03일(화)담당자명9월28일(목)기관명09월30일(토)주차장유형10월01일(일)09월29일(금)10월02일(월)
담당자연락처1.0000.9291.0000.9290.9560.9290.7940.9290.9290.929
10월03일(화)0.9291.0000.9290.9830.2470.9830.7540.9830.9830.983
담당자명1.0000.9291.0000.9290.9560.9290.7940.9290.9290.929
9월28일(목)0.9290.9830.9291.0000.2470.9830.7540.9830.9830.983
기관명0.9560.2470.9560.2471.0000.2470.4100.2470.2470.247
09월30일(토)0.9290.9830.9290.9830.2471.0000.7540.9830.9830.983
주차장유형0.7940.7540.7940.7540.4100.7541.0000.7540.7540.754
10월01일(일)0.9290.9830.9290.9830.2470.9830.7541.0000.9830.983
09월29일(금)0.9290.9830.9290.9830.2470.9830.7540.9831.0000.983
10월02일(월)0.9290.9830.9290.9830.2470.9830.7540.9830.9831.000
2023-12-13T07:53:41.424115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번경도위도기관명담당자명담당자연락처주차장유형9월28일(목)09월29일(금)09월30일(토)10월01일(일)10월02일(월)10월03일(화)
순번1.000-0.256-0.2820.4380.5890.5890.5590.8570.8570.8570.8570.8570.857
경도-0.2561.0000.5140.2790.4080.4080.3310.2300.2300.2300.2300.2300.230
위도-0.2820.5141.0000.3960.5150.5150.3810.2690.2690.2690.2690.2690.269
기관명0.4380.2790.3961.0000.9560.9560.4100.2470.2470.2470.2470.2470.247
담당자명0.5890.4080.5150.9561.0001.0000.7940.9290.9290.9290.9290.9290.929
담당자연락처0.5890.4080.5150.9561.0001.0000.7940.9290.9290.9290.9290.9290.929
주차장유형0.5590.3310.3810.4100.7940.7941.0000.7540.7540.7540.7540.7540.754
9월28일(목)0.8570.2300.2690.2470.9290.9290.7541.0000.9830.9830.9830.9830.983
09월29일(금)0.8570.2300.2690.2470.9290.9290.7540.9831.0000.9830.9830.9830.983
09월30일(토)0.8570.2300.2690.2470.9290.9290.7540.9830.9831.0000.9830.9830.983
10월01일(일)0.8570.2300.2690.2470.9290.9290.7540.9830.9830.9831.0000.9830.983
10월02일(월)0.8570.2300.2690.2470.9290.9290.7540.9830.9830.9830.9831.0000.983
10월03일(화)0.8570.2300.2690.2470.9290.9290.7540.9830.9830.9830.9830.9831.000

Missing values

2023-12-13T07:53:34.892653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:53:35.087085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번주차장명기관명담당자명담당자연락처주소위치주차장유형9월28일(목)09월29일(금)09월30일(토)10월01일(일)10월02일(월)10월03일(화)참고사항경도위도
01수내동119-2성남도시개발공사공기연031-725-9424경기도 성남시 분당구 수내동 119-2수내고교아래(지평식)기타(거주자전용)종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방150면127.12860737.366629
12복정동634성남도시개발공사공기연031-725-9424경기도 성남시 수정구 복정동 634환승주차장 뒤(복정역부근)기타(거주자전용)종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방74면127.12712737.467868
23수상11-1성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 183수산타워～황금주단노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방24면127.13878637.436911
34수상11성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 191지인창호～수산타워노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방33면127.14256837.441609
45수상9,10성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 195으뜸자동차병원～쿠테타노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방36면127.13982337.437407
56중앙11성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 221대기가스～수진역4번 앞중앙부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방20면127.13968737.438247
67중앙10-1성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 223갈비가문～현대자동차앞중앙부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방9면127.14227337.438924
78중앙10성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 237BYC건물～하이마트 앞중앙부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방13면127.14358137.43954
89중앙9성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 273파리바게트～기업은행 앞중앙부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방10면127.14727437.441242
910수상7성남도시개발공사박의성031-725-9419경기도 성남시 수정구 산성대로 285게이트맨열쇠～하모니마트 앞노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방14면127.14848137.441629
순번주차장명기관명담당자명담당자연락처주소위치주차장유형9월28일(목)09월29일(금)09월30일(토)10월01일(일)10월02일(월)10월03일(화)참고사항경도위도
139140나눔주차장성남시 중원구청김선균031-729-6434경기도 성남시 중원구 갈현동 238-9주택가 공한지노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 만차가능성 높음 17면127.17410537.422252
140141나눔주차장성남시 중원구청김선균031-729-6434경기도 성남시 중원구 갈현동 248주택가 공한지노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 만차가능성 높음 9면127.17365437.423255
141142나눔주차장성남시 중원구청김선균031-729-6434경기도 성남시 중원구 상대원동 1410번지성신교회 옆 부지노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 만차가능성 높음 19면127.16439737.434303
142143나눔주차장성남시 중원구청김선균031-729-6434경기도 성남시 중원구 상대원동 1577번지대원하이츠 A 옆 부지노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 만차가능성 높음 7면127.16337837.434482
143144나눔주차장성남시 중원구청김선균031-729-6434경기도 성남시 중원구 상대원동 926-5번지주택가 공한지노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 만차가능성 높음 3면127.16582637.438955
144145중원구청 부설주차장성남시 중원구청안성현031-729-6029경기도 성남시 중원구 제일로 36건물 앞부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방차단기 있음(2층주차장쪽만 차단기 운용) 주차면수 54면127.13712437.430392
145146나눔주차장성남시 중원구청김선균031-729-6434경기도 성남시 중원구 중앙동 2320주택가 공한지노상종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 만차가능성 높음 3면127.15428237.441963
146147성남시 차량등록사업소성남시 차량등록사업소김준호031-729-3742경기도 성남시 분당구 야탑로 327건물 앞부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방주차면수 : 60면, 민원(차량등록)전용 주차장127.15403437.407208
147148위례평생학습관 주차장성남시 미래교육과양주열031-729-2808경기도 성남시 수정구 위례동로 91건물 앞부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방명절 연휴만 개방, 주차면수: 19, 장애인전용: 1면, 어르신우선주차: 1면127.14951237.468288
148149성남시청 부설주차장성남시 행정기획조정실 총무과윤지희031-729-2189경기도 성남시 중원구 성남대로 997(여수동)건물 옆, 지하주차장부설종일 개방종일 개방종일 개방종일 개방종일 개방종일 개방차단기 있음, 장애인전용: 19면, 여성, 임산부차량: 22면,어르신전용: 22면127.1274637.417862