Overview

Dataset statistics

Number of variables2
Number of observations1250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.9 KiB
Average record size in memory17.1 B

Variable types

Numeric1
Categorical1

Dataset

Description명칭ID,조사결과
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21142/S/1/datasetView.do

Alerts

조사결과 has constant value ""Constant
명칭ID has unique valuesUnique

Reproduction

Analysis started2024-05-11 08:59:14.067053
Analysis finished2024-05-11 08:59:15.059073
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭ID
Real number (ℝ)

UNIQUE 

Distinct1250
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45413.193
Minimum44757
Maximum46038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-05-11T08:59:15.426426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44757
5-th percentile44851.45
Q145101.25
median45413.5
Q345725.75
95-th percentile45975.55
Maximum46038
Range1281
Interquartile range (IQR)624.5

Descriptive statistics

Standard deviation361.52851
Coefficient of variation (CV)0.0079608696
Kurtosis-1.192267
Mean45413.193
Median Absolute Deviation (MAD)312.5
Skewness-0.0053318884
Sum56766491
Variance130702.86
MonotonicityStrictly increasing
2024-05-11T08:59:15.983679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44757 1
 
0.1%
45620 1
 
0.1%
45627 1
 
0.1%
45626 1
 
0.1%
45625 1
 
0.1%
45624 1
 
0.1%
45623 1
 
0.1%
45622 1
 
0.1%
45621 1
 
0.1%
45619 1
 
0.1%
Other values (1240) 1240
99.2%
ValueCountFrequency (%)
44757 1
0.1%
44758 1
0.1%
44759 1
0.1%
44760 1
0.1%
44761 1
0.1%
44762 1
0.1%
44763 1
0.1%
44764 1
0.1%
44765 1
0.1%
44766 1
0.1%
ValueCountFrequency (%)
46038 1
0.1%
46037 1
0.1%
46036 1
0.1%
46035 1
0.1%
46034 1
0.1%
46033 1
0.1%
46032 1
0.1%
46031 1
0.1%
46030 1
0.1%
46029 1
0.1%

조사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
보전준보전산지
1250 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보전준보전산지 1250
100.0%

Length

2024-05-11T08:59:16.674406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:59:16.957502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보전준보전산지 1250
100.0%

Interactions

2024-05-11T08:59:14.134111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-05-11T08:59:14.665047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T08:59:14.907675image/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

명칭ID조사결과
044757보전준보전산지
144758보전준보전산지
244759보전준보전산지
344760보전준보전산지
444761보전준보전산지
544762보전준보전산지
644763보전준보전산지
744764보전준보전산지
844765보전준보전산지
944766보전준보전산지
명칭ID조사결과
124046029보전준보전산지
124146030보전준보전산지
124246031보전준보전산지
124346032보전준보전산지
124446033보전준보전산지
124546034보전준보전산지
124646035보전준보전산지
124746036보전준보전산지
124846037보전준보전산지
124946038보전준보전산지