Overview

Dataset statistics

Number of variables2
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory557.0 B
Average record size in memory22.3 B

Variable types

Numeric1
Text1

Dataset

Description측정소행정용코드,측정소명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-1199/S/1/datasetView.do

Alerts

측정소행정용코드 has unique valuesUnique
측정소명 has unique valuesUnique

Reproduction

Analysis started2024-05-18 09:48:37.970578
Analysis finished2024-05-18 09:48:38.608192
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

측정소행정용코드
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111211.04
Minimum111121
Maximum111311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-18T18:48:38.724065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111121
5-th percentile111124.6
Q1111152
median111212
Q3111262
95-th percentile111299
Maximum111311
Range190
Interquartile range (IQR)110

Descriptive statistics

Standard deviation61.169491
Coefficient of variation (CV)0.00055003075
Kurtosis-1.4051597
Mean111211.04
Median Absolute Deviation (MAD)60
Skewness0.035398473
Sum2780276
Variance3741.7067
MonotonicityNot monotonic
2024-05-18T18:48:38.996683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
111151 1
 
4.0%
111311 1
 
4.0%
111261 1
 
4.0%
111262 1
 
4.0%
111251 1
 
4.0%
111171 1
 
4.0%
111291 1
 
4.0%
111161 1
 
4.0%
111152 1
 
4.0%
111141 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
111121 1
4.0%
111123 1
4.0%
111131 1
4.0%
111141 1
4.0%
111142 1
4.0%
111151 1
4.0%
111152 1
4.0%
111161 1
4.0%
111171 1
4.0%
111181 1
4.0%
ValueCountFrequency (%)
111311 1
4.0%
111301 1
4.0%
111291 1
4.0%
111281 1
4.0%
111274 1
4.0%
111273 1
4.0%
111262 1
4.0%
111261 1
4.0%
111251 1
4.0%
111241 1
4.0%

측정소명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-18T18:48:39.363306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.08
Min length2

Characters and Unicode

Total characters77
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row중랑구
2nd row노원구
3rd row은평구
4th row서대문구
5th row마포구
ValueCountFrequency (%)
중랑구 1
 
4.0%
종로구 1
 
4.0%
서초구 1
 
4.0%
관악구 1
 
4.0%
도봉구 1
 
4.0%
강북구 1
 
4.0%
성북구 1
 
4.0%
동대문구 1
 
4.0%
광진구 1
 
4.0%
성동구 1
 
4.0%
Other values (15) 15
60.0%
2024-05-18T18:48:40.156424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
33.8%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (26) 28
36.4%

Interactions

2024-05-18T18:48:38.084021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T18:48:40.314462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정소행정용코드측정소명
측정소행정용코드1.0001.000
측정소명1.0001.000

Missing values

2024-05-18T18:48:38.431846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T18:48:38.555281image/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

측정소행정용코드측정소명
0111151중랑구
1111311노원구
2111181은평구
3111191서대문구
4111201마포구
5111301양천구
6111212강서구
7111221구로구
8111281금천구
9111231영등포구
측정소행정용코드측정소명
15111131용산구
16111142성동구
17111141광진구
18111152동대문구
19111161성북구
20111291강북구
21111171도봉구
22111251관악구
23111262서초구
24111261강남구