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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20265/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-04-14 01:27:28.927506
Analysis finished2024-04-14 01:27:33.027796
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
2024-04-14T10:27:33.213992image/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
2024-04-14T10:27:33.583795image/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
2024-04-14T10:27:33.929315image/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
2024-04-14T10:27:34.285684image/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
은평구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
은평구 122
100.0%

Length

2024-04-14T10:27:34.662515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T10:27:34.971627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은평구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11380
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11380
2nd row11380
3rd row11380
4th row11380
5th row11380

Common Values

ValueCountFrequency (%)
11380 122
100.0%

Length

2024-04-14T10:27:35.285374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T10:27:35.587259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11380 122
100.0%

영치건수
Real number (ℝ)

Distinct71
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.696721
Minimum7
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T10:27:35.921344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile25.1
Q140.25
median61
Q379
95-th percentile155
Maximum274
Range267
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation41.343929
Coefficient of variation (CV)0.61072277
Kurtosis5.6787621
Mean67.696721
Median Absolute Deviation (MAD)19
Skewness2.002123
Sum8259
Variance1709.3205
MonotonicityNot monotonic
2024-04-14T10:27:36.364053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 5
 
4.1%
54 5
 
4.1%
62 4
 
3.3%
46 4
 
3.3%
51 4
 
3.3%
40 4
 
3.3%
36 4
 
3.3%
43 3
 
2.5%
28 3
 
2.5%
69 3
 
2.5%
Other values (61) 83
68.0%
ValueCountFrequency (%)
7 1
 
0.8%
8 1
 
0.8%
19 1
 
0.8%
21 1
 
0.8%
23 1
 
0.8%
25 2
1.6%
27 1
 
0.8%
28 3
2.5%
30 1
 
0.8%
32 1
 
0.8%
ValueCountFrequency (%)
274 1
0.8%
210 1
0.8%
174 2
1.6%
166 1
0.8%
157 1
0.8%
155 2
1.6%
148 1
0.8%
145 1
0.8%
119 1
0.8%
118 1
0.8%

Interactions

2024-04-14T10:27:31.780054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:30.336721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:31.066249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:32.021405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:30.585640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:31.306328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:32.261274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:30.825896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T10:27:31.543975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T10:27:36.623015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.494
영치월0.0001.0000.199
영치건수0.4940.1991.000
2024-04-14T10:27:36.993273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.041-0.491
영치월-0.0411.000-0.141
영치건수-0.491-0.1411.000

Missing values

2024-04-14T10:27:32.576450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T10:27:32.893494image/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
020242은평구1138033
120241은평구1138034
2202312은평구1138046
3202311은평구1138048
4202310은평구1138042
520239은평구1138065
620238은평구1138027
720237은평구1138040
820236은평구1138032
920235은평구1138036
영치년도영치월영치기관영치기관코드영치건수
112201410은평구11380109
11320149은평구11380118
11420148은평구1138079
11520147은평구1138075
11620146은평구1138040
11720145은평구1138036
11820144은평구1138037
11920143은평구1138038
12020142은평구1138069
12120141은평구1138062