Overview

Dataset statistics

Number of variables3
Number of observations1302
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.9 KiB
Average record size in memory25.1 B

Variable types

Categorical1
DateTime1
Numeric1

Dataset

Description부산광역시_서구_계약정보시스템접속현황_20220731
Author부산광역시 서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15039103

Alerts

관리부서 has constant value ""Constant
날짜 has unique valuesUnique
접속횟수 has 18 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-10 16:06:26.340642
Analysis finished2023-12-10 16:06:27.153453
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
재무과
1302 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재무과 1302
100.0%

Length

2023-12-11T01:06:27.246796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:06:27.385348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재무과 1302
100.0%

날짜
Date

UNIQUE 

Distinct1302
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum2019-01-01 00:00:00
Maximum2022-07-31 00:00:00
2023-12-11T01:06:27.533733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:06:27.727532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접속횟수
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.419355
Minimum0
Maximum327
Zeros18
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2023-12-11T01:06:27.929128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median19
Q328
95-th percentile38
Maximum327
Range327
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.998584
Coefficient of variation (CV)0.82384732
Kurtosis119.59468
Mean19.419355
Median Absolute Deviation (MAD)9
Skewness7.3174749
Sum25284
Variance255.95468
MonotonicityNot monotonic
2023-12-11T01:06:28.128453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 53
 
4.1%
10 51
 
3.9%
11 47
 
3.6%
28 46
 
3.5%
20 40
 
3.1%
24 40
 
3.1%
25 40
 
3.1%
26 38
 
2.9%
1 37
 
2.8%
12 37
 
2.8%
Other values (45) 873
67.1%
ValueCountFrequency (%)
0 18
 
1.4%
1 37
2.8%
2 36
2.8%
3 32
2.5%
4 30
2.3%
5 35
2.7%
6 30
2.3%
7 30
2.3%
8 36
2.8%
9 53
4.1%
ValueCountFrequency (%)
327 1
 
0.1%
189 1
 
0.1%
154 1
 
0.1%
125 2
 
0.2%
56 1
 
0.1%
52 1
 
0.1%
51 1
 
0.1%
48 5
0.4%
47 2
 
0.2%
46 2
 
0.2%

Interactions

2023-12-11T01:06:26.430439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:06:26.993953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:06:27.109025image/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

관리부서날짜접속횟수
0재무과2019-01-015
1재무과2019-01-0212
2재무과2019-01-038
3재무과2019-01-0410
4재무과2019-01-052
5재무과2019-01-0716
6재무과2019-01-089
7재무과2019-01-099
8재무과2019-01-1015
9재무과2019-01-1110
관리부서날짜접속횟수
1292재무과2022-07-2240
1293재무과2022-07-2332
1294재무과2022-07-2448
1295재무과2022-07-2530
1296재무과2022-07-2612
1297재무과2022-07-2728
1298재무과2022-07-2827
1299재무과2022-07-2920
1300재무과2022-07-3013
1301재무과2022-07-3119