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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20277/S/1/datasetView.do

Alerts

영치기관 has constant value ""Constant
영치기관코드 has constant value ""Constant
영치년도 is highly overall correlated with 영치건수High correlation
영치건수 is highly overall correlated with 영치년도High correlation

Reproduction

Analysis started2024-04-14 04:02:36.193520
Analysis finished2024-04-14 04:02:40.231426
Duration4.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영치년도
Real number (ℝ)

HIGH CORRELATION 

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
2024-04-14T13:02:40.417143image/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
2024-04-14T13:02:40.783010image/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
2024-04-14T13:02:41.126171image/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
2024-04-14T13:02:41.477164image/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
송파구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파구 122
100.0%

Length

2024-04-14T13:02:41.849868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T13:02:42.158676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송파구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11710
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11710
2nd row11710
3rd row11710
4th row11710
5th row11710

Common Values

ValueCountFrequency (%)
11710 122
100.0%

Length

2024-04-14T13:02:42.468253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T13:02:42.767663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11710 122
100.0%

영치건수
Real number (ℝ)

HIGH CORRELATION 

Distinct88
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.688525
Minimum14
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T13:02:43.084154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile23.05
Q149
median86
Q3123.75
95-th percentile190.75
Maximum233
Range219
Interquartile range (IQR)74.75

Descriptive statistics

Standard deviation52.849558
Coefficient of variation (CV)0.58275904
Kurtosis-0.2209939
Mean90.688525
Median Absolute Deviation (MAD)37.5
Skewness0.67605357
Sum11064
Variance2793.0757
MonotonicityNot monotonic
2024-04-14T13:02:43.489364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 3
 
2.5%
23 3
 
2.5%
32 3
 
2.5%
54 3
 
2.5%
38 3
 
2.5%
29 3
 
2.5%
112 3
 
2.5%
164 2
 
1.6%
158 2
 
1.6%
78 2
 
1.6%
Other values (78) 95
77.9%
ValueCountFrequency (%)
14 1
 
0.8%
15 1
 
0.8%
22 2
1.6%
23 3
2.5%
24 1
 
0.8%
27 1
 
0.8%
28 2
1.6%
29 3
2.5%
31 1
 
0.8%
32 3
2.5%
ValueCountFrequency (%)
233 1
0.8%
228 1
0.8%
225 1
0.8%
207 1
0.8%
201 1
0.8%
199 1
0.8%
191 1
0.8%
186 1
0.8%
175 1
0.8%
172 1
0.8%

Interactions

2024-04-14T13:02:39.025908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:37.610831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:38.324878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:39.258494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:37.858873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:38.564523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:39.489840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:38.098349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:02:38.802001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T13:02:43.738780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.705
영치월0.0001.0000.317
영치건수0.7050.3171.000
2024-04-14T13:02:43.975343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.041-0.696
영치월-0.0411.000-0.063
영치건수-0.696-0.0631.000

Missing values

2024-04-14T13:02:39.784468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T13:02:40.097200image/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
020242송파구1171053
120241송파구1171041
2202312송파구1171023
3202311송파구1171044
4202310송파구1171054
520239송파구1171028
620238송파구1171040
720237송파구1171028
820236송파구1171064
920235송파구1171029
영치년도영치월영치기관영치기관코드영치건수
112201410송파구11710131
11320149송파구11710131
11420148송파구1171092
11520147송파구11710191
11620146송파구1171056
11720145송파구1171038
11820144송파구1171051
11920143송파구1171065
12020142송파구11710124
12120141송파구1171049