Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells58
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory56.6 B

Variable types

Numeric2
Text2
Unsupported2

Dataset

Description연번,주차장명,소재지,구획수,운영주체,비고
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-11580/S/1/datasetView.do

Alerts

운영주체 has 29 (100.0%) missing valuesMissing
비고 has 29 (100.0%) missing valuesMissing
연번 has unique valuesUnique
주차장명 has unique valuesUnique
소재지 has unique valuesUnique
운영주체 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 13:09:29.002057
Analysis finished2024-04-06 13:09:30.133087
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-06T22:09:30.245997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-04-06T22:09:30.412655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

주차장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-06T22:09:31.071912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8
Min length6

Characters and Unicode

Total characters232
Distinct characters66
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

Unique29 ?
Unique (%)100.0%

Sample

1st row으뜸공원(노상)
2nd row아카데미(노상)
3rd row나눔터길(노상)
4th row송중동(노외)
5th row시 범(노외)
ValueCountFrequency (%)
으뜸공원(노상 1
 
3.3%
아카데미(노상 1
 
3.3%
색동공원(노외 1
 
3.3%
미양마을마당(노외 1
 
3.3%
장미원시장(노외 1
 
3.3%
어울림소공원(노외 1
 
3.3%
가오리(노외 1
 
3.3%
송천동(노외 1
 
3.3%
삼양마을공원(노외 1
 
3.3%
대지시장길(노외 1
 
3.3%
Other values (20) 20
66.7%
2024-04-06T22:09:31.576598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 29
 
12.5%
노 29
 
12.5%
) 29
 
12.5%
외 26
 
11.2%
동 9
 
3.9%
원 6
 
2.6%
장 6
 
2.6%
길 5
 
2.2%
공 5
 
2.2%
시 5
 
2.2%
Other values (56) 83
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
73.7%
Open Punctuation 29
 
12.5%
Close Punctuation 29
 
12.5%
Decimal Number 2
 
0.9%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 29
17.0%
외 26
 
15.2%
동 9
 
5.3%
원 6
 
3.5%
장 6
 
3.5%
길 5
 
2.9%
공 5
 
2.9%
시 5
 
2.9%
수 5
 
2.9%
마 4
 
2.3%
Other values (52) 71
41.5%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
73.7%
Common 61
 
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 29
17.0%
외 26
 
15.2%
동 9
 
5.3%
원 6
 
3.5%
장 6
 
3.5%
길 5
 
2.9%
공 5
 
2.9%
시 5
 
2.9%
수 5
 
2.9%
마 4
 
2.3%
Other values (52) 71
41.5%
Common
ValueCountFrequency (%)
( 29
47.5%
) 29
47.5%
2 2
 
3.3%
1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
73.7%
ASCII 61
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 29
47.5%
) 29
47.5%
2 2
 
3.3%
1
 
1.6%
Hangul
ValueCountFrequency (%)
노 29
17.0%
외 26
 
15.2%
동 9
 
5.3%
원 6
 
3.5%
장 6
 
3.5%
길 5
 
2.9%
공 5
 
2.9%
시 5
 
2.9%
수 5
 
2.9%
마 4
 
2.3%
Other values (52) 71
41.5%

소재지
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-06T22:09:31.965160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.862069
Min length5

Characters and Unicode

Total characters257
Distinct characters34
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

Unique29 ?
Unique (%)100.0%

Sample

1st row삼양로54길 133
2nd row4.19로 25
3rd row수유로47
4th row월계로7길 36
5th row한천로139가길 10
ValueCountFrequency (%)
삼양로54길 2
 
3.6%
33 2
 
3.6%
삼양로 2
 
3.6%
오현로21길 2
 
3.6%
23 1
 
1.8%
21 1
 
1.8%
도봉로34길 1
 
1.8%
54 1
 
1.8%
삼양로79길 1
 
1.8%
5 1
 
1.8%
Other values (42) 42
75.0%
2024-04-06T22:09:32.512216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 29
 
11.3%
27
 
10.5%
길 24
 
9.3%
2 15
 
5.8%
4 15
 
5.8%
1 15
 
5.8%
3 14
 
5.4%
6 11
 
4.3%
7 11
 
4.3%
양 10
 
3.9%
Other values (24) 86
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
45.9%
Decimal Number 110
42.8%
Space Separator 27
 
10.5%
Other Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 29
24.6%
길 24
20.3%
양 10
 
8.5%
삼 10
 
8.5%
봉 6
 
5.1%
가 4
 
3.4%
인 4
 
3.4%
수 4
 
3.4%
오 3
 
2.5%
현 3
 
2.5%
Other values (11) 21
17.8%
Decimal Number
ValueCountFrequency (%)
2 15
13.6%
4 15
13.6%
1 15
13.6%
3 14
12.7%
6 11
10.0%
7 11
10.0%
5 10
9.1%
0 8
7.3%
9 6
 
5.5%
8 5
 
4.5%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139
54.1%
Hangul 118
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 29
24.6%
길 24
20.3%
양 10
 
8.5%
삼 10
 
8.5%
봉 6
 
5.1%
가 4
 
3.4%
인 4
 
3.4%
수 4
 
3.4%
오 3
 
2.5%
현 3
 
2.5%
Other values (11) 21
17.8%
Common
ValueCountFrequency (%)
27
19.4%
2 15
10.8%
4 15
10.8%
1 15
10.8%
3 14
10.1%
6 11
7.9%
7 11
7.9%
5 10
 
7.2%
0 8
 
5.8%
9 6
 
4.3%
Other values (3) 7
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
54.1%
Hangul 118
45.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 29
24.6%
길 24
20.3%
양 10
 
8.5%
삼 10
 
8.5%
봉 6
 
5.1%
가 4
 
3.4%
인 4
 
3.4%
수 4
 
3.4%
오 3
 
2.5%
현 3
 
2.5%
Other values (11) 21
17.8%
ASCII
ValueCountFrequency (%)
27
19.4%
2 15
10.8%
4 15
10.8%
1 15
10.8%
3 14
10.1%
6 11
7.9%
7 11
7.9%
5 10
 
7.2%
0 8
 
5.8%
9 6
 
4.3%
Other values (3) 7
 
5.0%

구획수
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.793103
Minimum10
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-06T22:09:32.753274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q147
median76
Q3104
95-th percentile174.2
Maximum187
Range177
Interquartile range (IQR)57

Descriptive statistics

Standard deviation48.512428
Coefficient of variation (CV)0.59311147
Kurtosis-0.16488459
Mean81.793103
Median Absolute Deviation (MAD)29
Skewness0.76629289
Sum2372
Variance2353.4557
MonotonicityNot monotonic
2024-04-06T22:09:32.964136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
45 2
 
6.9%
47 2
 
6.9%
20 2
 
6.9%
77 1
 
3.4%
87 1
 
3.4%
62 1
 
3.4%
80 1
 
3.4%
10 1
 
3.4%
152 1
 
3.4%
120 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
10 1
3.4%
20 2
6.9%
34 1
3.4%
43 1
3.4%
45 2
6.9%
47 2
6.9%
48 1
3.4%
54 1
3.4%
59 1
3.4%
62 1
3.4%
ValueCountFrequency (%)
187 1
3.4%
185 1
3.4%
158 1
3.4%
155 1
3.4%
152 1
3.4%
120 1
3.4%
116 1
3.4%
104 1
3.4%
95 1
3.4%
91 1
3.4%

운영주체
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Interactions

2024-04-06T22:09:29.528071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:29.245864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:29.690929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:29.391415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T22:09:33.116516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차장명소재지구획수
연번1.0001.0001.0000.338
주차장명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
구획수0.3381.0001.0001.000
2024-04-06T22:09:33.299580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구획수
연번1.000-0.025
구획수-0.0251.000

Missing values

2024-04-06T22:09:29.898957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T22:09:30.068756image/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

연번주차장명소재지구획수운영주체비고
01으뜸공원(노상)삼양로54길 13377<NA><NA>
12아카데미(노상)4.19로 2534<NA><NA>
23나눔터길(노상)수유로4748<NA><NA>
34송중동(노외)월계로7길 3654<NA><NA>
45시 범(노외)한천로139가길 1045<NA><NA>
56인수동(노외)삼양로92길 3473<NA><NA>
67교통광장(노외)삼양로 678158<NA><NA>
78미아동(노외)도봉로61길 46155<NA><NA>
89번동햇살(노외)오현로21길 84187<NA><NA>
910수유마을시장(노외)도봉로69길 27116<NA><NA>
연번주차장명소재지구획수운영주체비고
1920수유일공원(노외)삼양로79길 591<NA><NA>
2021대지시장길(노외)솔샘로243-847<NA><NA>
2122삼양마을공원(노외)삼양로47길 1595<NA><NA>
2223송천동(노외)숭인로7나길 2359<NA><NA>
2324가오리(노외)삼양로107길 30120<NA><NA>
2425어울림소공원(노외)오현로 5645<NA><NA>
2526장미원시장(노외)인수봉로78길 24152<NA><NA>
2627미양마을마당(노외)인수봉로6길 3910<NA><NA>
2728색동공원(노외)삼양로 80나길 5280<NA><NA>
2829수유2동(노외)한천로160길 4062<NA><NA>