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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20262/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 11:44:46.706175
Analysis finished2024-04-14 11:44:50.741202
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
2024-04-14T20:44:50.922292image/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
2024-04-14T20:44:51.287707image/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
2024-04-14T20:44:51.629644image/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
2024-04-14T20:44:51.978310image/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
강북구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강북구 122
100.0%

Length

2024-04-14T20:44:52.351414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T20:44:52.659333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강북구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11305
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11305
2nd row11305
3rd row11305
4th row11305
5th row11305

Common Values

ValueCountFrequency (%)
11305 122
100.0%

Length

2024-04-14T20:44:52.967469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T20:44:53.267365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11305 122
100.0%

영치건수
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.81148
Minimum12
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T20:44:53.583869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile24
Q147
median109.5
Q3143.75
95-th percentile184.95
Maximum231
Range219
Interquartile range (IQR)96.75

Descriptive statistics

Standard deviation54.200932
Coefficient of variation (CV)0.53764645
Kurtosis-1.0522636
Mean100.81148
Median Absolute Deviation (MAD)42.5
Skewness0.14977266
Sum12299
Variance2937.741
MonotonicityNot monotonic
2024-04-14T20:44:53.983315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144 4
 
3.3%
46 4
 
3.3%
151 3
 
2.5%
22 3
 
2.5%
83 3
 
2.5%
44 3
 
2.5%
138 3
 
2.5%
51 3
 
2.5%
37 3
 
2.5%
122 3
 
2.5%
Other values (71) 90
73.8%
ValueCountFrequency (%)
12 1
 
0.8%
16 1
 
0.8%
17 1
 
0.8%
22 3
2.5%
24 2
1.6%
26 1
 
0.8%
29 1
 
0.8%
31 1
 
0.8%
32 1
 
0.8%
35 1
 
0.8%
ValueCountFrequency (%)
231 1
0.8%
215 1
0.8%
209 1
0.8%
203 1
0.8%
192 2
1.6%
185 1
0.8%
184 1
0.8%
181 1
0.8%
177 1
0.8%
175 1
0.8%

Interactions

2024-04-14T20:44:49.538562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:48.126289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:48.839804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:49.771466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:48.373802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:49.077416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:50.000446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:48.612592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T20:44:49.315263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T20:44:54.227720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.826
영치월0.0001.0000.069
영치건수0.8260.0691.000
2024-04-14T20:44:54.464613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.041-0.592
영치월-0.0411.000-0.040
영치건수-0.592-0.0401.000

Missing values

2024-04-14T20:44:50.292598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T20:44:50.603100image/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
020242강북구1130524
120241강북구1130546
2202312강북구1130536
3202311강북구1130575
4202310강북구1130540
520239강북구1130542
620238강북구1130553
720237강북구1130517
820236강북구1130541
920235강북구1130546
영치년도영치월영치기관영치기관코드영치건수
112201410강북구1130580
11320149강북구11305122
11420148강북구11305175
11520147강북구11305209
11620146강북구1130554
11720145강북구1130537
11820144강북구1130532
11920143강북구1130551
12020142강북구1130544
12120141강북구1130546