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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-20266/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-04-14 02:59:26.237015
Analysis finished2024-04-14 02:59:30.247843
Duration4.01 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
2024-04-14T11:59:30.431567image/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
2024-04-14T11:59:30.796177image/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
2024-04-14T11:59:31.140769image/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
2024-04-14T11:59:31.490331image/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
서대문구
122 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서대문구 122
100.0%

Length

2024-04-14T11:59:31.864082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T11:59:32.057042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서대문구 122
100.0%

영치기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
11410
122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11410
2nd row11410
3rd row11410
4th row11410
5th row11410

Common Values

ValueCountFrequency (%)
11410 122
100.0%

Length

2024-04-14T11:59:32.220890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T11:59:32.379926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11410 122
100.0%

영치건수
Real number (ℝ)

Distinct72
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.680328
Minimum10
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-14T11:59:32.560802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile21
Q141
median61
Q375.75
95-th percentile96.95
Maximum135
Range125
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation24.977433
Coefficient of variation (CV)0.41852038
Kurtosis0.077459229
Mean59.680328
Median Absolute Deviation (MAD)17.5
Skewness0.30972813
Sum7281
Variance623.87217
MonotonicityNot monotonic
2024-04-14T11:59:32.816364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 6
 
4.9%
63 5
 
4.1%
75 4
 
3.3%
69 4
 
3.3%
59 3
 
2.5%
82 3
 
2.5%
32 3
 
2.5%
21 3
 
2.5%
76 3
 
2.5%
38 3
 
2.5%
Other values (62) 85
69.7%
ValueCountFrequency (%)
10 2
1.6%
15 1
 
0.8%
19 1
 
0.8%
20 2
1.6%
21 3
2.5%
22 1
 
0.8%
26 1
 
0.8%
27 2
1.6%
28 1
 
0.8%
29 1
 
0.8%
ValueCountFrequency (%)
135 1
0.8%
127 1
0.8%
125 1
0.8%
108 1
0.8%
101 1
0.8%
97 2
1.6%
96 1
0.8%
95 2
1.6%
93 1
0.8%
91 1
0.8%

Interactions

2024-04-14T11:59:29.004684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:27.635322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:28.370617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:29.237164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:27.882579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:28.609523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:29.476457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:28.122141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T11:59:28.847522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T11:59:33.102501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.0000.0000.260
영치월0.0001.0000.373
영치건수0.2600.3731.000
2024-04-14T11:59:33.247054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영치년도영치월영치건수
영치년도1.000-0.0410.249
영치월-0.0411.000-0.069
영치건수0.249-0.0691.000

Missing values

2024-04-14T11:59:29.800859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T11:59:30.113936image/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
020242서대문구1141060
120241서대문구1141057
2202312서대문구1141066
3202311서대문구1141075
4202310서대문구1141071
520239서대문구1141087
620238서대문구1141078
720237서대문구1141089
820236서대문구1141091
920235서대문구1141075
영치년도영치월영치기관영치기관코드영치건수
112201410서대문구1141049
11320149서대문구1141037
11420148서대문구1141076
11520147서대문구11410108
11620146서대문구1141027
11720145서대문구1141030
11820144서대문구1141031
11920143서대문구1141026
12020142서대문구1141020
12120141서대문구1141010