Overview

Dataset statistics

Number of variables9
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory75.4 B

Variable types

Numeric2
Text2
Categorical5

Dataset

Description경상남도 사천시 공영주차장 운영 현황 자료입니다.(연번, 주차장 상호명, 주소, 주차장형식, 주차료, 운영방식, 운영주체, 주차면수)
URLhttps://www.data.go.kr/data/15114253/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
주차료 is highly overall correlated with 운영방식 and 1 other fieldsHigh correlation
운영방식 is highly overall correlated with 주차료 and 1 other fieldsHigh correlation
운영주체 is highly overall correlated with 주차료 and 1 other fieldsHigh correlation
운영주체 is highly imbalanced (63.4%)Imbalance
연번 has unique valuesUnique
주차장 상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:23:47.821828
Analysis finished2023-12-12 23:23:49.159671
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T08:23:49.243459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-13T08:23:49.388205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

주차장 상호명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T08:23:49.585735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.119565
Min length5

Characters and Unicode

Total characters931
Distinct characters183
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

Unique92 ?
Unique (%)100.0%

Sample

1st row봉명산시립공원주차장
2nd row완사노외주차장
3rd row곤양종합시장주차장
4th row초양휴게소주차장(초양탐방센터)
5th row대방진굴항 주차장
ValueCountFrequency (%)
주차장 23
 
17.4%
옆 2
 
1.5%
내 2
 
1.5%
공단 2
 
1.5%
성창수산주변주차장 1
 
0.8%
노산공원주차장 1
 
0.8%
농협(중)삼천포지점앞주차장 1
 
0.8%
노상유료주차장 1
 
0.8%
농협공판장앞 1
 
0.8%
망산공원주차장 1
 
0.8%
Other values (97) 97
73.5%
2023-12-13T08:23:49.907741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 109
 
11.7%
주 102
 
11.0%
차 90
 
9.7%
40
 
4.3%
천 27
 
2.9%
공 26
 
2.8%
원 21
 
2.3%
포 20
 
2.1%
사 17
 
1.8%
지 15
 
1.6%
Other values (173) 464
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 859
92.3%
Space Separator 40
 
4.3%
Close Punctuation 10
 
1.1%
Open Punctuation 10
 
1.1%
Decimal Number 7
 
0.8%
Math Symbol 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 109
 
12.7%
주 102
 
11.9%
차 90
 
10.5%
천 27
 
3.1%
공 26
 
3.0%
원 21
 
2.4%
포 20
 
2.3%
사 17
 
2.0%
지 15
 
1.7%
동 14
 
1.6%
Other values (166) 418
48.7%
Decimal Number
ValueCountFrequency (%)
2 5
71.4%
1 2
 
28.6%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
～ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 859
92.3%
Common 72
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 109
 
12.7%
주 102
 
11.9%
차 90
 
10.5%
천 27
 
3.1%
공 26
 
3.0%
원 21
 
2.4%
포 20
 
2.3%
사 17
 
2.0%
지 15
 
1.7%
동 14
 
1.6%
Other values (166) 418
48.7%
Common
ValueCountFrequency (%)
40
55.6%
) 10
 
13.9%
( 10
 
13.9%
2 5
 
6.9%
～ 3
 
4.2%
1 2
 
2.8%
@ 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 859
92.3%
ASCII 69
 
7.4%
None 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 109
 
12.7%
주 102
 
11.9%
차 90
 
10.5%
천 27
 
3.1%
공 26
 
3.0%
원 21
 
2.4%
포 20
 
2.3%
사 17
 
2.0%
지 15
 
1.7%
동 14
 
1.6%
Other values (166) 418
48.7%
ASCII
ValueCountFrequency (%)
40
58.0%
) 10
 
14.5%
( 10
 
14.5%
2 5
 
7.2%
1 2
 
2.9%
@ 2
 
2.9%
None
ValueCountFrequency (%)
～ 3
100.0%

주소
Text

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T08:23:50.202887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.663043
Min length2

Characters and Unicode

Total characters1717
Distinct characters81
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

Unique84 ?
Unique (%)91.3%

Sample

1st row경상남도 사천시 곤명면 용산리 42
2nd row경상남도 사천시 곤명면 정곡리 858-3
3rd row경상남도 사천시 곤양면 남문외리 48-4
4th row경상남도 사천시 늑도동 472
5th row경상남도 사천시 대방동 238
ValueCountFrequency (%)
경상남도 91
22.5%
사천시 91
22.5%
벌리동 12
 
3.0%
사천읍 11
 
2.7%
동금동 10
 
2.5%
사남면 6
 
1.5%
서금동 5
 
1.2%
서포면 5
 
1.2%
대방동 4
 
1.0%
송포동 4
 
1.0%
Other values (126) 165
40.8%
2023-12-13T08:23:50.614802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
18.2%
사 110
 
6.4%
천 108
 
6.3%
남 98
 
5.7%
도 94
 
5.5%
시 92
 
5.4%
경 91
 
5.3%
상 91
 
5.3%
동 72
 
4.2%
1 57
 
3.3%
Other values (71) 592
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
59.6%
Decimal Number 328
 
19.1%
Space Separator 312
 
18.2%
Dash Punctuation 53
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 110
10.7%
천 108
10.5%
남 98
9.6%
도 94
9.2%
시 92
9.0%
경 91
8.9%
상 91
8.9%
동 72
 
7.0%
리 45
 
4.4%
면 22
 
2.1%
Other values (59) 201
19.6%
Decimal Number
ValueCountFrequency (%)
1 57
17.4%
3 45
13.7%
2 44
13.4%
4 38
11.6%
6 29
8.8%
5 26
7.9%
8 24
7.3%
7 24
7.3%
0 22
 
6.7%
9 19
 
5.8%
Space Separator
ValueCountFrequency (%)
312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
59.6%
Common 693
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 110
10.7%
천 108
10.5%
남 98
9.6%
도 94
9.2%
시 92
9.0%
경 91
8.9%
상 91
8.9%
동 72
 
7.0%
리 45
 
4.4%
면 22
 
2.1%
Other values (59) 201
19.6%
Common
ValueCountFrequency (%)
312
45.0%
1 57
 
8.2%
- 53
 
7.6%
3 45
 
6.5%
2 44
 
6.3%
4 38
 
5.5%
6 29
 
4.2%
5 26
 
3.8%
8 24
 
3.5%
7 24
 
3.5%
Other values (2) 41
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
59.6%
ASCII 693
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
45.0%
1 57
 
8.2%
- 53
 
7.6%
3 45
 
6.5%
2 44
 
6.3%
4 38
 
5.5%
6 29
 
4.2%
5 26
 
3.8%
8 24
 
3.5%
7 24
 
3.5%
Other values (2) 41
 
5.9%
Hangul
ValueCountFrequency (%)
사 110
10.7%
천 108
10.5%
남 98
9.6%
도 94
9.2%
시 92
9.0%
경 91
8.9%
상 91
8.9%
동 72
 
7.0%
리 45
 
4.4%
면 22
 
2.1%
Other values (59) 201
19.6%

주차장형식
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
노외
37 
노상
36 
부설
18 
노상,부설
 
1

Length

Max length5
Median length2
Mean length2.0326087
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
노외 37
40.2%
노상 36
39.1%
부설 18
19.6%
노상,부설 1
 
1.1%

Length

2023-12-13T08:23:50.734384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:50.825368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 37
40.2%
노상 36
39.1%
부설 18
19.6%
노상,부설 1
 
1.1%

주차료
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
무
80 
유
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무 80
87.0%
유 12
 
13.0%

Length

2023-12-13T08:23:50.921274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:51.010361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 80
87.0%
유 12
 
13.0%

운영방식
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
직영
77 
위탁
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직영 77
83.7%
위탁 15
 
16.3%

Length

2023-12-13T08:23:51.092560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:51.169554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 77
83.7%
위탁 15
 
16.3%

운영주체
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
경상남도 사천시청
76 
경남지체장애인협회 사천시지부
 
6
사천시장애인연합회
 
3
사천시시설관리공단
 
2
삼천포용궁수산시장상인회
 
2
Other values (3)
 
3

Length

Max length15
Median length9
Mean length9.5108696
Min length6

Unique

Unique3 ?
Unique (%)3.3%

Sample

1st row경상남도 사천시청
2nd row경상남도 사천시청
3rd row경상남도 사천시청
4th row경상남도 사천시청
5th row경상남도 사천시청

Common Values

ValueCountFrequency (%)
경상남도 사천시청 76
82.6%
경남지체장애인협회 사천시지부 6
 
6.5%
사천시장애인연합회 3
 
3.3%
사천시시설관리공단 2
 
2.2%
삼천포용궁수산시장상인회 2
 
2.2%
사천문화재단 1
 
1.1%
재단법인사천시복지청소년재단 1
 
1.1%
삼천포전통수산시장상인회 1
 
1.1%

Length

2023-12-13T08:23:51.292928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:51.417677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 76
43.7%
사천시청 76
43.7%
경남지체장애인협회 6
 
3.4%
사천시지부 6
 
3.4%
사천시장애인연합회 3
 
1.7%
사천시시설관리공단 2
 
1.1%
삼천포용궁수산시장상인회 2
 
1.1%
사천문화재단 1
 
0.6%
재단법인사천시복지청소년재단 1
 
0.6%
삼천포전통수산시장상인회 1
 
0.6%

주차면수
Real number (ℝ)

Distinct65
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.880435
Minimum7
Maximum727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T08:23:51.562084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile11
Q123.75
median38.5
Q383.25
95-th percentile278.45
Maximum727
Range720
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation107.30432
Coefficient of variation (CV)1.3433116
Kurtosis15.887991
Mean79.880435
Median Absolute Deviation (MAD)23
Skewness3.4909787
Sum7349
Variance11514.216
MonotonicityNot monotonic
2023-12-13T08:23:51.709088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 6
 
6.5%
30 5
 
5.4%
21 4
 
4.3%
27 3
 
3.3%
45 3
 
3.3%
18 3
 
3.3%
7 2
 
2.2%
34 2
 
2.2%
60 2
 
2.2%
37 2
 
2.2%
Other values (55) 60
65.2%
ValueCountFrequency (%)
7 2
2.2%
9 1
 
1.1%
10 1
 
1.1%
11 2
2.2%
12 1
 
1.1%
14 1
 
1.1%
15 2
2.2%
16 1
 
1.1%
17 1
 
1.1%
18 3
3.3%
ValueCountFrequency (%)
727 1
1.1%
488 1
1.1%
320 1
1.1%
301 1
1.1%
279 1
1.1%
278 1
1.1%
250 1
1.1%
232 1
1.1%
211 1
1.1%
187 1
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-06-01
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 92
100.0%

Length

2023-12-13T08:23:51.846442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:51.931436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 92
100.0%

Interactions

2023-12-13T08:23:48.480535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:48.322935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:48.559357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:48.389944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:23:51.998457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차장 상호명주소주차장형식주차료운영방식운영주체주차면수
연번1.0001.0001.0000.4540.3050.2500.0260.000
주차장 상호명1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0000.9221.0001.0001.0000.000
주차장형식0.4541.0000.9221.0000.5540.4020.7870.000
주차료0.3051.0001.0000.5541.0000.9651.0000.000
운영방식0.2501.0001.0000.4020.9651.0001.0000.000
운영주체0.0261.0001.0000.7871.0001.0001.0000.203
주차면수0.0001.0000.0000.0000.0000.0000.2031.000
2023-12-13T08:23:52.113955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장형식주차료운영방식운영주체
주차장형식1.0000.3750.2660.442
주차료0.3751.0000.8320.966
운영방식0.2660.8321.0000.966
운영주체0.4420.9660.9661.000
2023-12-13T08:23:52.218765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차면수주차장형식주차료운영방식운영주체
연번1.0000.0370.2760.2210.1800.000
주차면수0.0371.0000.0000.0000.0000.113
주차장형식0.2760.0001.0000.3750.2660.442
주차료0.2210.0000.3751.0000.8320.966
운영방식0.1800.0000.2660.8321.0000.966
운영주체0.0000.1130.4420.9660.9661.000

Missing values

2023-12-13T08:23:48.979762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:23:49.114113image/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

연번주차장 상호명주소주차장형식주차료운영방식운영주체주차면수데이터기준일자
01봉명산시립공원주차장경상남도 사천시 곤명면 용산리 42노상무직영경상남도 사천시청422023-06-01
12완사노외주차장경상남도 사천시 곤명면 정곡리 858-3노외무직영경상남도 사천시청252023-06-01
23곤양종합시장주차장경상남도 사천시 곤양면 남문외리 48-4노외무직영경상남도 사천시청222023-06-01
34초양휴게소주차장(초양탐방센터)경상남도 사천시 늑도동 472노외무직영경상남도 사천시청452023-06-01
45대방진굴항 주차장경상남도 사천시 대방동 238노외무직영경상남도 사천시청212023-06-01
56사천바다케이블카 주차장경상남도 사천시 대방동 492노외무위탁사천시시설관리공단3202023-06-01
67삼천포대교공원주차장경상남도 사천시 대방동 681-2노외무직영경상남도 사천시청2792023-06-01
78유람선선착장주차장경상남도 사천시 대방동 765-3노외무직영경상남도 사천시청252023-06-01
89대포마을 주차장경상남도 사천시 대포동 457-4노상무직영경상남도 사천시청682023-06-01
910동금우편취급소주변주차장경상남도 사천시 동금동 143노상무직영경상남도 사천시청402023-06-01
연번주차장 상호명주소주차장형식주차료운영방식운영주체주차면수데이터기준일자
8283남양동행정복지센터 주차장경상남도 사천시 죽림동 355부설무직영경상남도 사천시청372023-06-01
8384임내노외주차장경상남도 사천시 죽림동 630-9노외무직영경상남도 사천시청602023-06-01
8485호국공원주차장경상남도 사천시 진삼로 384-10노외무직영경상남도 사천시청962023-06-01
8586길평주차장(축동공영주차장)경상남도 사천시 축동면 배춘리 772-24노외무직영경상남도 사천시청452023-06-01
8687사천만남의광장경상남도 사천시 축동면 사다리 30노외무직영경상남도 사천시청1252023-06-01
8788신항만길주차장경상남도 사천시 향촌동 1158-65노상무직영경상남도 사천시청102023-06-01
8889남일대해수욕장 무료주차장경상남도 사천시 향촌동 710-1노외무직영경상남도 사천시청2322023-06-01
8990삼천포커뮤니티에코주차장경상남도 사천시 서부시장길 88노외유위탁삼천포전통수산시장상인회1182023-06-01
9091남양만남의광장 주차장경상남도 사천시 사천대로 690노외무직영경상남도 사천시청1442023-06-01
9192초양도휴게소 주차장경상남도 사천시 삼천포대교로 112노외무직영경상남도 사천시청712023-06-01