Overview

Dataset statistics

Number of variables2
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory18.9 B

Variable types

Numeric1
Text1

Dataset

Description경기도 남양주시의 공시지가와 관련된 지역코드 데이터로 연번, 읍면동(리), 각 읍면동(리)에 해당하는 코드번호 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/15044081/fileData.do

Alerts

코드번호 has unique valuesUnique
지역 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:03:21.510996
Analysis finished2023-12-12 13:03:21.874043
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드번호
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25708.368
Minimum10100
Maximum37021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-12T22:03:21.971754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10100
5-th percentile10435
Q125231.25
median25627.5
Q331022.25
95-th percentile36023.65
Maximum37021
Range26921
Interquartile range (IQR)5791

Descriptive statistics

Standard deviation7780.0209
Coefficient of variation (CV)0.30262602
Kurtosis0.031197845
Mean25708.368
Median Absolute Deviation (MAD)605
Skewness-0.77296086
Sum1748169
Variance60528725
MonotonicityNot monotonic
2023-12-12T22:03:22.156223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25000 1
 
1.5%
34023 1
 
1.5%
36021 1
 
1.5%
36000 1
 
1.5%
34027 1
 
1.5%
34026 1
 
1.5%
34025 1
 
1.5%
34024 1
 
1.5%
34022 1
 
1.5%
26222 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
10100 1
1.5%
10200 1
1.5%
10300 1
1.5%
10400 1
1.5%
10500 1
1.5%
10600 1
1.5%
10700 1
1.5%
10800 1
1.5%
10900 1
1.5%
11000 1
1.5%
ValueCountFrequency (%)
37021 1
1.5%
36026 1
1.5%
36025 1
1.5%
36024 1
1.5%
36023 1
1.5%
36022 1
1.5%
36021 1
1.5%
36000 1
1.5%
34027 1
1.5%
34026 1
1.5%

지역
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-12T22:03:22.440156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0294118
Min length3

Characters and Unicode

Total characters206
Distinct characters79
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

Unique68 ?
Unique (%)100.0%

Sample

1st row와부읍
2nd row덕소리
3rd row도곡리
4th row팔당리
5th row월문리
ValueCountFrequency (%)
와부읍 1
 
1.5%
운수리 1
 
1.5%
별내면 1
 
1.5%
청학리 1
 
1.5%
용암리 1
 
1.5%
광전리 1
 
1.5%
수동면 1
 
1.5%
덕소리 1
 
1.5%
수산리 1
 
1.5%
내각리 1
 
1.5%
Other values (58) 58
85.3%
2023-12-12T22:03:22.868431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 49
23.8%
동 12
 
5.8%
내 8
 
3.9%
읍 5
 
2.4%
곡 5
 
2.4%
진 5
 
2.4%
현 4
 
1.9%
수 4
 
1.9%
금 4
 
1.9%
평 4
 
1.9%
Other values (69) 106
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 49
23.8%
동 12
 
5.8%
내 8
 
3.9%
읍 5
 
2.4%
곡 5
 
2.4%
진 5
 
2.4%
현 4
 
1.9%
수 4
 
1.9%
금 4
 
1.9%
평 4
 
1.9%
Other values (69) 106
51.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 49
23.8%
동 12
 
5.8%
내 8
 
3.9%
읍 5
 
2.4%
곡 5
 
2.4%
진 5
 
2.4%
현 4
 
1.9%
수 4
 
1.9%
금 4
 
1.9%
평 4
 
1.9%
Other values (69) 106
51.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 49
23.8%
동 12
 
5.8%
내 8
 
3.9%
읍 5
 
2.4%
곡 5
 
2.4%
진 5
 
2.4%
현 4
 
1.9%
수 4
 
1.9%
금 4
 
1.9%
평 4
 
1.9%
Other values (69) 106
51.5%

Interactions

2023-12-12T22:03:21.606685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:03:22.962729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드번호지역
코드번호1.0001.000
지역1.0001.000

Missing values

2023-12-12T22:03:21.752870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:03:21.838250image/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

코드번호지역
025000와부읍
125021덕소리
225022도곡리
325023팔당리
425024월문리
525025율석리
625300진접읍
725321장현리
825322내각리
925323내곡리
코드번호지역
5810200평내동
5910300금곡동
6010400일패동
6110500이패동
6210600삼패동
6310700가운동
6410800수석동
6510900지금동
6611000도농동
6711100별내동