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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20258/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-04-14 10:47:24.836660
Analysis finished2024-04-14 10:47:29.049851
Duration4.21 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
2024-04-14T19:47:29.238816image/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
2024-04-14T19:47:29.615079image/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
2024-04-14T19:47:29.965970image/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
2024-04-14T19:47:30.320280image/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
광진구
122 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 122
100.0%

Length

2024-04-14T19:47:30.702360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:47:31.013150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11215
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11215
2nd row11215
3rd row11215
4th row11215
5th row11215

Common Values

ValueCountFrequency (%)
11215 122
100.0%

Length

2024-04-14T19:47:31.331647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T19:47:31.632596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11215 122
100.0%

영치건수
Real number (ℝ)

Distinct75
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.098361
Minimum17
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T19:47:31.946216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile38.1
Q167
median87.5
Q3106.75
95-th percentile150.4
Maximum176
Range159
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation31.49299
Coefficient of variation (CV)0.35747533
Kurtosis0.13878337
Mean88.098361
Median Absolute Deviation (MAD)20.5
Skewness0.32366116
Sum10748
Variance991.80843
MonotonicityNot monotonic
2024-04-14T19:47:32.504665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 5
 
4.1%
87 4
 
3.3%
67 4
 
3.3%
72 3
 
2.5%
111 3
 
2.5%
78 3
 
2.5%
95 3
 
2.5%
79 3
 
2.5%
128 2
 
1.6%
88 2
 
1.6%
Other values (65) 90
73.8%
ValueCountFrequency (%)
17 1
0.8%
25 1
0.8%
26 1
0.8%
30 1
0.8%
36 1
0.8%
38 2
1.6%
40 1
0.8%
44 1
0.8%
45 1
0.8%
46 1
0.8%
ValueCountFrequency (%)
176 1
0.8%
165 1
0.8%
163 1
0.8%
157 1
0.8%
154 1
0.8%
152 1
0.8%
151 1
0.8%
139 2
1.6%
138 1
0.8%
132 1
0.8%

Interactions

2024-04-14T19:47:27.743300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:26.253615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:27.007253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:27.996470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:26.503911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:27.247333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:28.244999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:26.745638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T19:47:27.485954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T19:47:32.775503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.650
영치월0.0001.0000.217
영치건수0.6500.2171.000
2024-04-14T19:47:33.013621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.041-0.334
영치월-0.0411.0000.053
영치건수-0.3340.0531.000

Missing values

2024-04-14T19:47:28.592085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T19:47:28.912006image/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
020242광진구1121545
120241광진구1121577
2202312광진구1121530
3202311광진구1121555
4202310광진구1121587
520239광진구1121567
620238광진구1121554
720237광진구1121587
820236광진구1121570
920235광진구1121560
영치년도영치월영치기관영치기관코드영치건수
112201410광진구1121570
11320149광진구1121558
11420148광진구1121578
11520147광진구11215107
11620146광진구1121525
11720145광진구1121540
11820144광진구1121538
11920143광진구1121557
12020142광진구1121567
12120141광진구1121536