Overview

Dataset statistics

Number of variables6
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory53.5 B

Variable types

Numeric3
Categorical1
Text1
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 법정동별 면적에 대한 데이터 입니다.파일명 인천광역시_중구_법정동별 면적파일내용 군구명, 토지소재, 면적, 지번수 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086847&srcSe=7661IVAWM27C61E190

Alerts

군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 면적(제곱미터) and 1 other fieldsHigh correlation
면적(제곱미터) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
지번수(필지) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
토지소재 has unique valuesUnique
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:24:49.989333
Analysis finished2024-01-28 08:24:50.952142
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-01-28T17:24:51.015280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2024-01-28T17:24:51.133193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
중구
52 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 52
100.0%

Length

2024-01-28T17:24:51.238877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:24:51.314519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 52
100.0%

토지소재
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-01-28T17:24:51.490337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8269231
Min length2

Characters and Unicode

Total characters199
Distinct characters50
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row중앙동1가
2nd row중앙동2가
3rd row중앙동3가
4th row중앙동4가
5th row해안동1가
ValueCountFrequency (%)
중앙동1가 1
 
1.9%
중앙동2가 1
 
1.9%
북성동2가 1
 
1.9%
선화동 1
 
1.9%
유동 1
 
1.9%
율목동 1
 
1.9%
도원동 1
 
1.9%
내동 1
 
1.9%
경동 1
 
1.9%
용동 1
 
1.9%
Other values (42) 42
80.8%
2024-01-28T17:24:51.808269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 52
26.1%
가 30
15.1%
1 8
 
4.0%
2 8
 
4.0%
3 8
 
4.0%
항 7
 
3.5%
송 6
 
3.0%
중 5
 
2.5%
신 5
 
2.5%
북 5
 
2.5%
Other values (40) 65
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
84.9%
Decimal Number 30
 
15.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 52
30.8%
가 30
17.8%
항 7
 
4.1%
송 6
 
3.6%
중 5
 
3.0%
신 5
 
3.0%
북 5
 
3.0%
앙 4
 
2.4%
해 4
 
2.4%
안 4
 
2.4%
Other values (33) 47
27.8%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 8
26.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
84.9%
Common 30
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 52
30.8%
가 30
17.8%
항 7
 
4.1%
송 6
 
3.6%
중 5
 
3.0%
신 5
 
3.0%
북 5
 
3.0%
앙 4
 
2.4%
해 4
 
2.4%
안 4
 
2.4%
Other values (33) 47
27.8%
Common
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 8
26.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
84.9%
ASCII 30
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 52
30.8%
가 30
17.8%
항 7
 
4.1%
송 6
 
3.6%
중 5
 
3.0%
신 5
 
3.0%
북 5
 
3.0%
앙 4
 
2.4%
해 4
 
2.4%
안 4
 
2.4%
Other values (33) 47
27.8%
ASCII
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
3 8
26.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2699517.6
Minimum7725.7
Maximum63830944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-01-28T17:24:51.921809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7725.7
5-th percentile9535.9
Q115858.175
median61227.8
Q3172991.85
95-th percentile11551195
Maximum63830944
Range63823218
Interquartile range (IQR)157133.67

Descriptive statistics

Standard deviation9289977.1
Coefficient of variation (CV)3.4413471
Kurtosis38.27298
Mean2699517.6
Median Absolute Deviation (MAD)48502.45
Skewness5.8780845
Sum1.4037492 × 108
Variance8.6303674 × 1013
MonotonicityNot monotonic
2024-01-28T17:24:52.033130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9267.5 1
 
1.9%
3198282.7 1
 
1.9%
61950.6 1
 
1.9%
119738.9 1
 
1.9%
260644.5 1
 
1.9%
96565.2 1
 
1.9%
95828.3 1
 
1.9%
40886.1 1
 
1.9%
129955.2 1
 
1.9%
264481.6 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
7725.7 1
1.9%
7778.4 1
1.9%
9267.5 1
1.9%
9755.5 1
1.9%
11278.8 1
1.9%
11679.7 1
1.9%
12578.5 1
1.9%
12872.2 1
1.9%
13317.9 1
1.9%
14540.5 1
1.9%
ValueCountFrequency (%)
63830943.7 1
1.9%
13712122.6 1
1.9%
12474285.6 1
1.9%
10795938.4 1
1.9%
10299542.4 1
1.9%
7845355.6 1
1.9%
5935825.6 1
1.9%
3939361.4 1
1.9%
3198282.7 1
1.9%
2935165.0 1
1.9%

지번수(필지)
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1155.6538
Minimum9
Maximum7550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-01-28T17:24:52.495752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12.55
Q165.75
median362
Q3898.25
95-th percentile6355.1
Maximum7550
Range7541
Interquartile range (IQR)832.5

Descriptive statistics

Standard deviation2007.4562
Coefficient of variation (CV)1.737074
Kurtosis4.1584081
Mean1155.6538
Median Absolute Deviation (MAD)326
Skewness2.2716929
Sum60094
Variance4029880.5
MonotonicityNot monotonic
2024-01-28T17:24:52.607372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362 2
 
3.8%
50 1
 
1.9%
1114 1
 
1.9%
577 1
 
1.9%
777 1
 
1.9%
1857 1
 
1.9%
724 1
 
1.9%
706 1
 
1.9%
688 1
 
1.9%
888 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
9 1
1.9%
11 1
1.9%
12 1
1.9%
13 1
1.9%
15 1
1.9%
17 1
1.9%
22 1
1.9%
36 1
1.9%
44 1
1.9%
48 1
1.9%
ValueCountFrequency (%)
7550 1
1.9%
7549 1
1.9%
6882 1
1.9%
5924 1
1.9%
5469 1
1.9%
3898 1
1.9%
3433 1
1.9%
2712 1
1.9%
1857 1
1.9%
1396 1
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2023-07-31 00:00:00
Maximum2023-07-31 00:00:00
2024-01-28T17:24:52.702682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:52.773505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T17:24:50.569299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.119966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.350200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.643445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.195247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.419229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.720210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.273254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:50.493816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:24:52.833684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번토지소재면적(제곱미터)지번수(필지)
연번1.0001.0000.4550.279
토지소재1.0001.0001.0001.000
면적(제곱미터)0.4551.0001.0000.931
지번수(필지)0.2791.0000.9311.000
2024-01-28T17:24:52.915721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)지번수(필지)
연번1.0000.8050.813
면적(제곱미터)0.8051.0000.924
지번수(필지)0.8130.9241.000

Missing values

2024-01-28T17:24:50.825352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:24:50.916346image/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

연번군구명토지소재면적(제곱미터)지번수(필지)데이터기준일자
01중구중앙동1가9267.5502023-07-31
12중구중앙동2가9755.5442023-07-31
23중구중앙동3가15646.4852023-07-31
34중구중앙동4가15836.2952023-07-31
45중구해안동1가12872.2362023-07-31
56중구해안동2가12578.5492023-07-31
67중구해안동3가7778.4152023-07-31
78중구해안동4가7725.7112023-07-31
89중구관동1가22846.2722023-07-31
910중구관동2가11679.7652023-07-31
연번군구명토지소재면적(제곱미터)지번수(필지)데이터기준일자
4243중구송월동2가27730.01122023-07-31
4344중구송월동3가62282.14222023-07-31
4445중구중산동13712122.659242023-07-31
4546중구운남동10795938.468822023-07-31
4647중구운서동63830943.775492023-07-31
4748중구운북동12474285.675502023-07-31
4849중구을왕동7845355.654692023-07-31
4950중구남북동3939361.434332023-07-31
5051중구덕교동2935165.027122023-07-31
5152중구무의동10299542.438982023-07-31