Overview

Dataset statistics

Number of variables4
Number of observations357
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Categorical3

Dataset

Description객체ID,조사결과,명칭,관리번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21137/S/1/datasetView.do

Alerts

조사결과 has constant value ""Constant
관리번호 has constant value ""Constant
명칭 is highly imbalanced (88.1%)Imbalance
객체ID has unique valuesUnique

Reproduction

Analysis started2024-05-11 10:00:33.718234
Analysis finished2024-05-11 10:00:35.205341
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체ID
Real number (ℝ)

UNIQUE 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25128.16
Minimum24667
Maximum25311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T10:00:35.545296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24667
5-th percentile24972.8
Q125044
median25133
Q325222
95-th percentile25293.2
Maximum25311
Range644
Interquartile range (IQR)178

Descriptive statistics

Standard deviation117.1694
Coefficient of variation (CV)0.0046628723
Kurtosis2.0290464
Mean25128.16
Median Absolute Deviation (MAD)89
Skewness-0.86754524
Sum8970753
Variance13728.668
MonotonicityStrictly increasing
2024-05-11T10:00:36.194706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24667 1
 
0.3%
25179 1
 
0.3%
25199 1
 
0.3%
25198 1
 
0.3%
25197 1
 
0.3%
25196 1
 
0.3%
25195 1
 
0.3%
25194 1
 
0.3%
25193 1
 
0.3%
25192 1
 
0.3%
Other values (347) 347
97.2%
ValueCountFrequency (%)
24667 1
0.3%
24668 1
0.3%
24669 1
0.3%
24670 1
0.3%
24671 1
0.3%
24672 1
0.3%
24961 1
0.3%
24962 1
0.3%
24963 1
0.3%
24964 1
0.3%
ValueCountFrequency (%)
25311 1
0.3%
25310 1
0.3%
25309 1
0.3%
25308 1
0.3%
25307 1
0.3%
25306 1
0.3%
25305 1
0.3%
25304 1
0.3%
25303 1
0.3%
25302 1
0.3%

조사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
문화재지정지역
357 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화재지정지역 357
100.0%

Length

2024-05-11T10:00:36.808197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:37.307855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화재지정지역 357
100.0%

명칭
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
문화재지정지역
341 
문화재지정지역(서울시립대)
 
9
문화재지정지역(월산대군이정태실)
 
2
문화재지정지역(봉원사칠성각보호)
 
1
문화재지정지역(봉원사칠성각)
 
1
Other values (3)
 
3

Length

Max length17
Median length7
Mean length7.3473389
Min length7

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
문화재지정지역 341
95.5%
문화재지정지역(서울시립대) 9
 
2.5%
문화재지정지역(월산대군이정태실) 2
 
0.6%
문화재지정지역(봉원사칠성각보호) 1
 
0.3%
문화재지정지역(봉원사칠성각) 1
 
0.3%
문화재지정지역(망원정터) 1
 
0.3%
문화재지정지역(인왕산수성동계곡) 1
 
0.3%
문화재지정지역(고려대학교) 1
 
0.3%

Length

2024-05-11T10:00:37.699197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:38.175834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화재지정지역 341
95.5%
문화재지정지역(서울시립대 9
 
2.5%
문화재지정지역(월산대군이정태실 2
 
0.6%
문화재지정지역(봉원사칠성각보호 1
 
0.3%
문화재지정지역(봉원사칠성각 1
 
0.3%
문화재지정지역(망원정터 1
 
0.3%
문화재지정지역(인왕산수성동계곡 1
 
0.3%
문화재지정지역(고려대학교 1
 
0.3%

관리번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
357 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
357
100.0%

Length

2024-05-11T10:00:38.808642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:39.240329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

Interactions

2024-05-11T10:00:33.922787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T10:00:39.845069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체ID명칭
객체ID1.0000.226
명칭0.2261.000
2024-05-11T10:00:40.087578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체ID명칭
객체ID1.0000.122
명칭0.1221.000

Missing values

2024-05-11T10:00:34.401096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T10:00:34.960301image/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

객체ID조사결과명칭관리번호
024667문화재지정지역문화재지정지역
124668문화재지정지역문화재지정지역
224669문화재지정지역문화재지정지역
324670문화재지정지역문화재지정지역
424671문화재지정지역문화재지정지역
524672문화재지정지역문화재지정지역
624961문화재지정지역문화재지정지역
724962문화재지정지역문화재지정지역
824963문화재지정지역문화재지정지역
924964문화재지정지역문화재지정지역
객체ID조사결과명칭관리번호
34725302문화재지정지역문화재지정지역
34825303문화재지정지역문화재지정지역
34925304문화재지정지역문화재지정지역
35025305문화재지정지역문화재지정지역
35125306문화재지정지역문화재지정지역
35225307문화재지정지역문화재지정지역
35325308문화재지정지역문화재지정지역
35425309문화재지정지역문화재지정지역
35525310문화재지정지역문화재지정지역
35625311문화재지정지역문화재지정지역