Overview

Dataset statistics

Number of variables3
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory30.2 B

Variable types

Categorical1
Numeric2

Dataset

Description서울특별시 성동구 내에서 발생한 포트홀 정비현황에 대한 자료입니다. 포트홀 발생연도, 월별 발생건수 등의 정보를 포함하고 있습니다.
Author서울특별시 성동구
URLhttps://www.data.go.kr/data/15064210/fileData.do

Reproduction

Analysis started2023-12-12 11:13:18.351718
Analysis finished2023-12-12 11:13:19.422096
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
2019
12 
2020
12 
2021
12 
2022
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 12
29.3%
2020 12
29.3%
2021 12
29.3%
2022 5
12.2%

Length

2023-12-12T20:13:19.530724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:19.722633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 12
29.3%
2020 12
29.3%
2021 12
29.3%
2022 5
12.2%

월
Real number (ℝ)

Distinct12
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0731707
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:13:19.889619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5099163
Coefficient of variation (CV)0.57793802
Kurtosis-1.2037235
Mean6.0731707
Median Absolute Deviation (MAD)3
Skewness0.19134676
Sum249
Variance12.319512
MonotonicityNot monotonic
2023-12-12T20:13:20.065543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
9.8%
2 4
9.8%
3 4
9.8%
4 4
9.8%
5 4
9.8%
6 3
7.3%
7 3
7.3%
8 3
7.3%
9 3
7.3%
10 3
7.3%
Other values (2) 6
14.6%
ValueCountFrequency (%)
1 4
9.8%
2 4
9.8%
3 4
9.8%
4 4
9.8%
5 4
9.8%
6 3
7.3%
7 3
7.3%
8 3
7.3%
9 3
7.3%
10 3
7.3%
ValueCountFrequency (%)
12 3
7.3%
11 3
7.3%
10 3
7.3%
9 3
7.3%
8 3
7.3%
7 3
7.3%
6 3
7.3%
5 4
9.8%
4 4
9.8%
3 4
9.8%

발생건수
Real number (ℝ)

Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.853659
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:13:20.220779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median9
Q314
95-th percentile25
Maximum32
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.8686279
Coefficient of variation (CV)0.63283987
Kurtosis1.4750089
Mean10.853659
Median Absolute Deviation (MAD)4
Skewness1.1154106
Sum445
Variance47.178049
MonotonicityNot monotonic
2023-12-12T20:13:20.411629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9 4
 
9.8%
6 4
 
9.8%
13 4
 
9.8%
16 3
 
7.3%
8 3
 
7.3%
4 3
 
7.3%
12 2
 
4.9%
11 2
 
4.9%
17 2
 
4.9%
2 2
 
4.9%
Other values (11) 12
29.3%
ValueCountFrequency (%)
1 1
 
2.4%
2 2
4.9%
3 1
 
2.4%
4 3
7.3%
5 2
4.9%
6 4
9.8%
7 1
 
2.4%
8 3
7.3%
9 4
9.8%
10 1
 
2.4%
ValueCountFrequency (%)
32 1
 
2.4%
27 1
 
2.4%
25 1
 
2.4%
21 1
 
2.4%
17 2
4.9%
16 3
7.3%
15 1
 
2.4%
14 1
 
2.4%
13 4
9.8%
12 2
4.9%

Interactions

2023-12-12T20:13:18.899850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:18.570327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:19.043137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:18.734812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:13:20.573089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월발생건수
연도1.0000.0000.516
월0.0001.0000.297
발생건수0.5160.2971.000
2023-12-12T20:13:20.718855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월발생건수연도
월1.000-0.2380.000
발생건수-0.2381.0000.297
연도0.0000.2971.000

Missing values

2023-12-12T20:13:19.246606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:13:19.371342image/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

연도월발생건수
0201919
1201924
22019316
32019412
4201954
5201962
6201976
72019811
82019914
92019102
연도월발생건수
312021827
322021913
332021105
342021115
352021129
36202217
372022216
382022321
392022425
40202258