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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20268/S/1/datasetView.do

Alerts

영치기관 has constant value ""Constant
영치기관코드 has constant value ""Constant

Reproduction

Analysis started2024-04-14 11:37:11.389916
Analysis finished2024-04-14 11:37:15.497658
Duration4.11 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
2024-04-14T20:37:15.682853image/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
2024-04-14T20:37:16.053857image/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
2024-04-14T20:37:16.400201image/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
2024-04-14T20:37:16.754750image/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
양천구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양천구 122
100.0%

Length

2024-04-14T20:37:17.130716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T20:37:17.441617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양천구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11470
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11470
2nd row11470
3rd row11470
4th row11470
5th row11470

Common Values

ValueCountFrequency (%)
11470 122
100.0%

Length

2024-04-14T20:37:17.754626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T20:37:18.055563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11470 122
100.0%

영치건수
Real number (ℝ)

Distinct52
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.147541
Minimum0
Maximum87
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T20:37:18.386221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.05
Q118.25
median27.5
Q338
95-th percentile56.95
Maximum87
Range87
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation16.05449
Coefficient of variation (CV)0.55080084
Kurtosis1.1746445
Mean29.147541
Median Absolute Deviation (MAD)10.5
Skewness0.80544656
Sum3556
Variance257.74665
MonotonicityNot monotonic
2024-04-14T20:37:18.803095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 6
 
4.9%
24 5
 
4.1%
14 5
 
4.1%
28 5
 
4.1%
37 4
 
3.3%
21 4
 
3.3%
13 4
 
3.3%
38 4
 
3.3%
33 4
 
3.3%
32 4
 
3.3%
Other values (42) 77
63.1%
ValueCountFrequency (%)
0 1
 
0.8%
1 1
 
0.8%
3 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%
7 2
1.6%
8 2
1.6%
9 2
1.6%
10 3
2.5%
11 4
3.3%
ValueCountFrequency (%)
87 1
0.8%
81 1
0.8%
72 1
0.8%
60 2
1.6%
57 2
1.6%
56 1
0.8%
52 2
1.6%
51 1
0.8%
50 2
1.6%
48 2
1.6%

Interactions

2024-04-14T20:37:14.269969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:12.834118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:13.560731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:14.507537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:13.082572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:13.801981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:14.740745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:13.325974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:37:14.040178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T20:37:19.054526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.145
영치월0.0001.0000.212
영치건수0.1450.2121.000
2024-04-14T20:37:19.302632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.0410.081
영치월-0.0411.000-0.090
영치건수0.081-0.0901.000

Missing values

2024-04-14T20:37:15.045628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T20:37:15.360179image/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
020242양천구1147022
120241양천구1147046
2202312양천구1147013
3202311양천구1147019
4202310양천구1147037
520239양천구1147027
620238양천구1147022
720237양천구1147022
820236양천구1147024
920235양천구1147026
영치년도영치월영치기관영치기관코드영치건수
112201410양천구1147040
11320149양천구1147035
11420148양천구1147042
11520147양천구1147029
11620146양천구1147022
11720145양천구1147038
11820144양천구1147032
11920143양천구1147047
12020142양천구1147036
12120141양천구1147028