Overview

Dataset statistics

Number of variables4
Number of observations156
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory34.8 B

Variable types

Categorical1
Text1
Numeric2

Dataset

Description공간정보의 구축 및 관리에 관한 법률에 따른 인천광역시 법정동별 면적 현황(각 군구별, 토지소재), 면적(제곱미터), 지번수(필지수) 데이터 입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15077426&srcSe=7661IVAWM27C61E190

Alerts

면적(제곱미터) is highly overall correlated with 지번수(필지)High correlation
지번수(필지) is highly overall correlated with 면적(제곱미터)High correlation
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:50:07.158420
Analysis finished2024-01-28 08:50:07.752124
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

군구명
Categorical

Distinct10
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
중구
52 
계양구
23 
서구
21 
강화군
13 
남동구
11 
Other values (5)
36 

Length

Max length4
Median length2
Mean length2.5320513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 52
33.3%
계양구 23
14.7%
서구 21
13.5%
강화군 13
 
8.3%
남동구 11
 
7.1%
부평구 9
 
5.8%
동구 7
 
4.5%
미추홀구 7
 
4.5%
옹진군 7
 
4.5%
연수구 6
 
3.8%

Length

2024-01-28T17:50:07.811900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:50:07.914397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 52
33.3%
계양구 23
14.7%
서구 21
13.5%
강화군 13
 
8.3%
남동구 11
 
7.1%
부평구 9
 
5.8%
동구 7
 
4.5%
미추홀구 7
 
4.5%
옹진군 7
 
4.5%
연수구 6
 
3.8%

토지소재
Text

Distinct154
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-28T17:50:08.162305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2820513
Min length2

Characters and Unicode

Total characters512
Distinct characters129
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

Unique152 ?
Unique (%)97.4%

Sample

1st row중앙동1가
2nd row중앙동2가
3rd row중앙동3가
4th row중앙동4가
5th row해안동1가
ValueCountFrequency (%)
금곡동 2
 
1.3%
오류동 2
 
1.3%
청천동 1
 
0.6%
노오지동 1
 
0.6%
평동 1
 
0.6%
병방동 1
 
0.6%
방축동 1
 
0.6%
박촌동 1
 
0.6%
동양동 1
 
0.6%
귤현동 1
 
0.6%
Other values (144) 144
92.3%
2024-01-28T17:50:08.512590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 139
27.1%
가 33
 
6.4%
면 19
 
3.7%
송 10
 
2.0%
2 8
 
1.6%
산 8
 
1.6%
도 8
 
1.6%
학 8
 
1.6%
1 8
 
1.6%
3 8
 
1.6%
Other values (119) 263
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 482
94.1%
Decimal Number 30
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
28.8%
가 33
 
6.8%
면 19
 
3.9%
송 10
 
2.1%
산 8
 
1.7%
도 8
 
1.7%
학 8
 
1.7%
신 7
 
1.5%
현 7
 
1.5%
항 7
 
1.5%
Other values (112) 236
49.0%
Decimal Number
ValueCountFrequency (%)
2 8
26.7%
1 8
26.7%
3 8
26.7%
4 3
 
10.0%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
94.1%
Common 30
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
28.8%
가 33
 
6.8%
면 19
 
3.9%
송 10
 
2.1%
산 8
 
1.7%
도 8
 
1.7%
학 8
 
1.7%
신 7
 
1.5%
현 7
 
1.5%
항 7
 
1.5%
Other values (112) 236
49.0%
Common
ValueCountFrequency (%)
2 8
26.7%
1 8
26.7%
3 8
26.7%
4 3
 
10.0%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 482
94.1%
ASCII 30
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 139
28.8%
가 33
 
6.8%
면 19
 
3.9%
송 10
 
2.1%
산 8
 
1.7%
도 8
 
1.7%
학 8
 
1.7%
신 7
 
1.5%
현 7
 
1.5%
항 7
 
1.5%
Other values (112) 236
49.0%
ASCII
ValueCountFrequency (%)
2 8
26.7%
1 8
26.7%
3 8
26.7%
4 3
 
10.0%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct156
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6840026.6
Minimum7725.7
Maximum63830944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T17:50:08.626275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7725.7
5-th percentile13206.475
Q1139402.05
median2706850.4
Q35829196.3
95-th percentile35657361
Maximum63830944
Range63823218
Interquartile range (IQR)5689794.3

Descriptive statistics

Standard deviation11531893
Coefficient of variation (CV)1.6859427
Kurtosis6.8271537
Mean6840026.6
Median Absolute Deviation (MAD)2608269.1
Skewness2.6064659
Sum1.0670441 × 109
Variance1.3298455 × 1014
MonotonicityNot monotonic
2024-01-28T17:50:08.753353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9267.5 1
 
0.6%
1535451.2 1
 
0.6%
3182802.3 1
 
0.6%
3584895.3 1
 
0.6%
2869071.9 1
 
0.6%
815275.3 1
 
0.6%
649084.0 1
 
0.6%
508146.0 1
 
0.6%
1349500.0 1
 
0.6%
1061477.9 1
 
0.6%
Other values (146) 146
93.6%
ValueCountFrequency (%)
7725.7 1
0.6%
7778.4 1
0.6%
9267.5 1
0.6%
9755.5 1
0.6%
11278.8 1
0.6%
11679.7 1
0.6%
12578.5 1
0.6%
12872.2 1
0.6%
13317.9 1
0.6%
14540.5 1
0.6%
ValueCountFrequency (%)
63830943.7 1
0.6%
51220804.4 1
0.6%
47161296.6 1
0.6%
45674030.5 1
0.6%
42355333.8 1
0.6%
37984000.1 1
0.6%
36622471.0 1
0.6%
36194205.2 1
0.6%
35478413.4 1
0.6%
35062067.0 1
0.6%

지번수(필지)
Real number (ℝ)

HIGH CORRELATION 

Distinct151
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4294.9167
Minimum9
Maximum29215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T17:50:08.866736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile42
Q1719.5
median2128
Q34941
95-th percentile18966.25
Maximum29215
Range29206
Interquartile range (IQR)4221.5

Descriptive statistics

Standard deviation5982.8818
Coefficient of variation (CV)1.3930146
Kurtosis4.7618913
Mean4294.9167
Median Absolute Deviation (MAD)1720
Skewness2.2585043
Sum670007
Variance35794874
MonotonicityNot monotonic
2024-01-28T17:50:08.983589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362 2
 
1.3%
2697 2
 
1.3%
420 2
 
1.3%
3412 2
 
1.3%
1460 2
 
1.3%
2529 1
 
0.6%
651 1
 
0.6%
816 1
 
0.6%
325 1
 
0.6%
1309 1
 
0.6%
Other values (141) 141
90.4%
ValueCountFrequency (%)
9 1
0.6%
11 1
0.6%
12 1
0.6%
13 1
0.6%
15 1
0.6%
17 1
0.6%
22 1
0.6%
36 1
0.6%
44 1
0.6%
48 1
0.6%
ValueCountFrequency (%)
29215 1
0.6%
26629 1
0.6%
25223 1
0.6%
24103 1
0.6%
22826 1
0.6%
20566 1
0.6%
19881 1
0.6%
19603 1
0.6%
18754 1
0.6%
17771 1
0.6%

Interactions

2024-01-28T17:50:07.492676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:50:07.318874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:50:07.573370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:50:07.409681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:50:09.287849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구명면적(제곱미터)지번수(필지)
군구명1.0000.7340.774
면적(제곱미터)0.7341.0000.879
지번수(필지)0.7740.8791.000
2024-01-28T17:50:09.366418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)지번수(필지)군구명
면적(제곱미터)1.0000.9120.307
지번수(필지)0.9121.0000.340
군구명0.3070.3401.000

Missing values

2024-01-28T17:50:07.658578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:50:07.724896image/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

군구명토지소재면적(제곱미터)지번수(필지)
0중구중앙동1가9267.550
1중구중앙동2가9755.544
2중구중앙동3가15646.485
3중구중앙동4가15836.295
4중구해안동1가12872.236
5중구해안동2가12578.549
6중구해안동3가7778.415
7중구해안동4가7725.711
8중구관동1가22846.272
9중구관동2가11679.765
군구명토지소재면적(제곱미터)지번수(필지)
146강화군교동면47161296.620566
147강화군삼산면45674030.517771
148강화군서도면13116175.04862
149옹진군북도면17653385.010655
150옹진군백령면51220804.417494
151옹진군대청면15626379.15280
152옹진군덕적면36622471.09622
153옹진군영흥면26689570.219603
154옹진군자월면17719731.46733
155옹진군연평면7416559.52749