Overview

Dataset statistics

Number of variables5
Number of observations122
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory45.0 B

Variable types

Numeric3
Categorical2

Dataset

Description영치년도,영치월,영치기관,영치기관코드,영치건수
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20263/S/1/datasetView.do

Alerts

영치기관 has constant value ""Constant
영치기관코드 has constant value ""Constant
영치건수 has 2 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-14 06:21:42.991768
Analysis finished2024-04-14 06:21:47.091050
Duration4.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영치년도
Real number (ℝ)

Distinct11
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.5902
Minimum2014
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T15:21:47.274609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12016
median2019
Q32021
95-th percentile2023
Maximum2024
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9451013
Coefficient of variation (CV)0.0014589892
Kurtosis-1.1982534
Mean2018.5902
Median Absolute Deviation (MAD)3
Skewness0.016043883
Sum246268
Variance8.6736215
MonotonicityDecreasing
2024-04-14T15:21:47.639827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 12
9.8%
2022 12
9.8%
2021 12
9.8%
2020 12
9.8%
2019 12
9.8%
2018 12
9.8%
2017 12
9.8%
2016 12
9.8%
2015 12
9.8%
2014 12
9.8%
ValueCountFrequency (%)
2014 12
9.8%
2015 12
9.8%
2016 12
9.8%
2017 12
9.8%
2018 12
9.8%
2019 12
9.8%
2020 12
9.8%
2021 12
9.8%
2022 12
9.8%
2023 12
9.8%
ValueCountFrequency (%)
2024 2
 
1.6%
2023 12
9.8%
2022 12
9.8%
2021 12
9.8%
2020 12
9.8%
2019 12
9.8%
2018 12
9.8%
2017 12
9.8%
2016 12
9.8%
2015 12
9.8%

영치월
Real number (ℝ)

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4180328
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T15:21:47.983894image/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 deviation3.4969648
Coefficient of variation (CV)0.54486553
Kurtosis-1.23558
Mean6.4180328
Median Absolute Deviation (MAD)3
Skewness0.020910043
Sum783
Variance12.228763
MonotonicityNot monotonic
2024-04-14T15:21:48.333370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 11
9.0%
1 11
9.0%
12 10
8.2%
11 10
8.2%
10 10
8.2%
9 10
8.2%
8 10
8.2%
7 10
8.2%
6 10
8.2%
5 10
8.2%
Other values (2) 20
16.4%
ValueCountFrequency (%)
1 11
9.0%
2 11
9.0%
3 10
8.2%
4 10
8.2%
5 10
8.2%
6 10
8.2%
7 10
8.2%
8 10
8.2%
9 10
8.2%
10 10
8.2%
ValueCountFrequency (%)
12 10
8.2%
11 10
8.2%
10 10
8.2%
9 10
8.2%
8 10
8.2%
7 10
8.2%
6 10
8.2%
5 10
8.2%
4 10
8.2%
3 10
8.2%

영치기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
도봉구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도봉구 122
100.0%

Length

2024-04-14T15:21:48.707123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T15:21:49.016287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도봉구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11320
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11320
2nd row11320
3rd row11320
4th row11320
5th row11320

Common Values

ValueCountFrequency (%)
11320 122
100.0%

Length

2024-04-14T15:21:49.326307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T15:21:49.623882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11320 122
100.0%

영치건수
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.836066
Minimum0
Maximum129
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T15:21:49.950722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118
median32.5
Q350
95-th percentile91.7
Maximum129
Range129
Interquartile range (IQR)32

Descriptive statistics

Standard deviation25.687686
Coefficient of variation (CV)0.69735151
Kurtosis0.88291044
Mean36.836066
Median Absolute Deviation (MAD)16
Skewness0.94495619
Sum4494
Variance659.8572
MonotonicityNot monotonic
2024-04-14T15:21:50.388772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 4
 
3.3%
37 4
 
3.3%
9 3
 
2.5%
28 3
 
2.5%
18 3
 
2.5%
19 3
 
2.5%
15 3
 
2.5%
29 3
 
2.5%
27 3
 
2.5%
52 3
 
2.5%
Other values (57) 90
73.8%
ValueCountFrequency (%)
0 2
1.6%
1 1
 
0.8%
2 1
 
0.8%
3 4
3.3%
4 2
1.6%
6 1
 
0.8%
7 1
 
0.8%
8 2
1.6%
9 3
2.5%
11 3
2.5%
ValueCountFrequency (%)
129 1
0.8%
103 1
0.8%
101 1
0.8%
99 1
0.8%
93 1
0.8%
92 2
1.6%
86 1
0.8%
80 1
0.8%
74 2
1.6%
73 1
0.8%

Interactions

2024-04-14T15:21:45.843429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:44.395363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:45.129871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:46.086221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:44.642913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:45.367438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:46.324558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:44.884341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T15:21:45.602804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T15:21:50.774672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.519
영치월0.0001.0000.249
영치건수0.5190.2491.000
2024-04-14T15:21:51.008116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.0410.211
영치월-0.0411.0000.050
영치건수0.2110.0501.000

Missing values

2024-04-14T15:21:46.645559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T15:21:46.958042image/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

영치년도영치월영치기관영치기관코드영치건수
020242도봉구1132034
120241도봉구1132047
2202312도봉구1132024
3202311도봉구1132045
4202310도봉구1132074
520239도봉구1132047
620238도봉구1132045
720237도봉구1132050
820236도봉구1132037
920235도봉구1132025
영치년도영치월영치기관영치기관코드영치건수
112201410도봉구1132093
11320149도봉구1132068
11420148도봉구1132092
11520147도봉구1132080
11620146도봉구113204
11720145도봉구113200
11820144도봉구113204
11920143도봉구113206
12020142도봉구113203
12120141도봉구1132017