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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-20273/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-04-14 07:45:55.959867
Analysis finished2024-04-14 07:45:59.226759
Duration3.27 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
2024-04-14T16:45:59.328570image/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
2024-04-14T16:45:59.526883image/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
2024-04-14T16:45:59.718733image/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
2024-04-14T16:45:59.907285image/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
동작구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작구 122
100.0%

Length

2024-04-14T16:46:00.214628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:00.524168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11590
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11590
2nd row11590
3rd row11590
4th row11590
5th row11590

Common Values

ValueCountFrequency (%)
11590 122
100.0%

Length

2024-04-14T16:46:00.838178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:01.133757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11590 122
100.0%

영치건수
Real number (ℝ)

Distinct73
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.639344
Minimum0
Maximum150
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T16:46:01.452080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.1
Q121.25
median43.5
Q363.75
95-th percentile101.75
Maximum150
Range150
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation29.720757
Coefficient of variation (CV)0.65120912
Kurtosis0.44183333
Mean45.639344
Median Absolute Deviation (MAD)22
Skewness0.74611273
Sum5568
Variance883.3234
MonotonicityNot monotonic
2024-04-14T16:46:01.894740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 5
 
4.1%
53 4
 
3.3%
49 4
 
3.3%
28 3
 
2.5%
84 3
 
2.5%
31 3
 
2.5%
18 3
 
2.5%
9 3
 
2.5%
40 3
 
2.5%
74 3
 
2.5%
Other values (63) 88
72.1%
ValueCountFrequency (%)
0 1
 
0.8%
1 1
 
0.8%
4 1
 
0.8%
5 2
1.6%
6 2
1.6%
8 2
1.6%
9 3
2.5%
10 2
1.6%
11 1
 
0.8%
12 2
1.6%
ValueCountFrequency (%)
150 1
0.8%
123 1
0.8%
114 1
0.8%
110 1
0.8%
105 1
0.8%
104 1
0.8%
102 1
0.8%
97 1
0.8%
95 1
0.8%
89 2
1.6%

Interactions

2024-04-14T16:45:58.496673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:57.375450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:58.069407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:58.645421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:57.624208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:58.209482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:58.789436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:57.864700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:45:58.347696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T16:46:02.166099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.346
영치월0.0001.0000.469
영치건수0.3460.4691.000
2024-04-14T16:46:02.534741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.0410.159
영치월-0.0411.000-0.240
영치건수0.159-0.2401.000

Missing values

2024-04-14T16:45:58.988600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T16:45:59.155770image/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
020242동작구1159028
120241동작구1159040
2202312동작구115905
3202311동작구115906
4202310동작구1159014
520239동작구11590123
620238동작구1159057
720237동작구1159060
820236동작구1159074
920235동작구1159058
영치년도영치월영치기관영치기관코드영치건수
112201410동작구1159017
11320149동작구1159010
11420148동작구1159010
11520147동작구1159012
11620146동작구115905
11720145동작구1159014
11820144동작구1159018
11920143동작구1159031
12020142동작구1159031
12120141동작구1159049