Overview

Dataset statistics

Number of variables4
Number of observations3349
Missing cells3349
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.3 KiB
Average record size in memory34.0 B

Variable types

Numeric1
Categorical2
Unsupported1

Dataset

Description공간id,자치구명,면적,기타
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21175/S/1/datasetView.do

Alerts

기타 has constant value ""Constant
면적 has 3349 (100.0%) missing valuesMissing
공간id has unique valuesUnique
면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:04:29.656402
Analysis finished2024-05-11 07:04:30.597593
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간id
Real number (ℝ)

UNIQUE 

Distinct3349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223428.68
Minimum221579
Maximum225103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.6 KiB
2024-05-11T07:04:30.819417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum221579
5-th percentile221922.4
Q1222592
median223429
Q3224266
95-th percentile224935.6
Maximum225103
Range3524
Interquartile range (IQR)1674

Descriptive statistics

Standard deviation967.49109
Coefficient of variation (CV)0.0043302009
Kurtosis-1.1963985
Mean223428.68
Median Absolute Deviation (MAD)837
Skewness-0.002261036
Sum7.4826266 × 108
Variance936039
MonotonicityNot monotonic
2024-05-11T07:04:31.271835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222111 1
 
< 0.1%
224388 1
 
< 0.1%
224416 1
 
< 0.1%
224417 1
 
< 0.1%
224418 1
 
< 0.1%
224419 1
 
< 0.1%
224420 1
 
< 0.1%
224421 1
 
< 0.1%
224422 1
 
< 0.1%
224423 1
 
< 0.1%
Other values (3339) 3339
99.7%
ValueCountFrequency (%)
221579 1
< 0.1%
221580 1
< 0.1%
221581 1
< 0.1%
221582 1
< 0.1%
221583 1
< 0.1%
221584 1
< 0.1%
221761 1
< 0.1%
221762 1
< 0.1%
221763 1
< 0.1%
221764 1
< 0.1%
ValueCountFrequency (%)
225103 1
< 0.1%
225102 1
< 0.1%
225101 1
< 0.1%
225100 1
< 0.1%
225099 1
< 0.1%
225098 1
< 0.1%
225097 1
< 0.1%
225096 1
< 0.1%
225095 1
< 0.1%
225094 1
< 0.1%

자치구명
Categorical

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
강남구
1617 
송파구
495 
금천구
374 
양천구
320 
강북구
177 
Other values (13)
366 

Length

Max length4
Median length3
Mean length3.0068677
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row강남구
2nd row송파구
3rd row강남구
4th row양천구
5th row양천구

Common Values

ValueCountFrequency (%)
강남구 1617
48.3%
송파구 495
 
14.8%
금천구 374
 
11.2%
양천구 320
 
9.6%
강북구 177
 
5.3%
성북구 126
 
3.8%
마포구 66
 
2.0%
관악구 47
 
1.4%
중랑구 47
 
1.4%
동대문구 23
 
0.7%
Other values (8) 57
 
1.7%

Length

2024-05-11T07:04:31.713996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남구 1617
48.3%
송파구 495
 
14.8%
금천구 374
 
11.2%
양천구 320
 
9.6%
강북구 177
 
5.3%
성북구 126
 
3.8%
마포구 66
 
2.0%
관악구 47
 
1.4%
중랑구 47
 
1.4%
동대문구 23
 
0.7%
Other values (8) 57
 
1.7%

면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3349
Missing (%)100.0%
Memory size29.6 KiB

기타
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.3 KiB
SB913
3349 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSB913
2nd rowSB913
3rd rowSB913
4th rowSB913
5th rowSB913

Common Values

ValueCountFrequency (%)
SB913 3349
100.0%

Length

2024-05-11T07:04:32.102054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:32.398242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sb913 3349
100.0%

Interactions

2024-05-11T07:04:29.832244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T07:04:32.600317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간id자치구명
공간id1.0000.000
자치구명0.0001.000
2024-05-11T07:04:32.827920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간id자치구명
공간id1.0000.000
자치구명0.0001.000

Missing values

2024-05-11T07:04:30.202203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T07:04:30.485000image/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

공간id자치구명면적기타
0222111강남구<NA>SB913
1222112송파구<NA>SB913
2222113강남구<NA>SB913
3222114양천구<NA>SB913
4222115양천구<NA>SB913
5222116강남구<NA>SB913
6222117금천구<NA>SB913
7222118송파구<NA>SB913
8222119송파구<NA>SB913
9222120강남구<NA>SB913
공간id자치구명면적기타
3339225094양천구<NA>SB913
3340225095강남구<NA>SB913
3341225096강남구<NA>SB913
3342225097강남구<NA>SB913
3343225098강남구<NA>SB913
3344225099강남구<NA>SB913
3345225100강남구<NA>SB913
3346225101송파구<NA>SB913
3347225102강남구<NA>SB913
3348225103강남구<NA>SB913