Overview

Dataset statistics

Number of variables8
Number of observations39
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory71.4 B

Variable types

Categorical4
Numeric4

Dataset

Description인천광역시 미추홀구 도화동지역의 구유지 현황 데이터로 재산구분, 재산관리관,동명,번지,호,공부지목 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15099965&srcSe=7661IVAWM27C61E190

Alerts

재산구분 has constant value ""Constant
재산관리관 has constant value ""Constant
동명 has constant value ""Constant
번지 is highly overall correlated with 공부지목High correlation
실소유면적 is highly overall correlated with 공부면적 and 1 other fieldsHigh correlation
공부면적 is highly overall correlated with 실소유면적 and 1 other fieldsHigh correlation
공부지목 is highly overall correlated with 번지 and 2 other fieldsHigh correlation
호 has 2 (5.1%) missing valuesMissing

Reproduction

Analysis started2024-01-28 13:48:14.480834
Analysis finished2024-01-28 13:48:16.046888
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
일반재산
39 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반재산 39
100.0%

Length

2024-01-28T22:48:16.101099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:48:16.176491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 39
100.0%

재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
미추홀구청 재무과
39 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미추홀구청 재무과
2nd row미추홀구청 재무과
3rd row미추홀구청 재무과
4th row미추홀구청 재무과
5th row미추홀구청 재무과

Common Values

ValueCountFrequency (%)
미추홀구청 재무과 39
100.0%

Length

2024-01-28T22:48:16.269666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:48:16.353661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 39
50.0%
재무과 39
50.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
도화동
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도화동 39
100.0%

Length

2024-01-28T22:48:16.430389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:48:16.506747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도화동 39
100.0%

번지
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.92308
Minimum24
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T22:48:16.576797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile50.1
Q1411
median582
Q3624
95-th percentile634.5
Maximum648
Range624
Interquartile range (IQR)213

Descriptive statistics

Standard deviation180.43899
Coefficient of variation (CV)0.36165694
Kurtosis1.3594883
Mean498.92308
Median Absolute Deviation (MAD)42
Skewness-1.5292043
Sum19458
Variance32558.231
MonotonicityNot monotonic
2024-01-28T22:48:16.665951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
624 9
23.1%
597 6
15.4%
582 5
12.8%
281 3
 
7.7%
24 2
 
5.1%
411 2
 
5.1%
507 2
 
5.1%
538 2
 
5.1%
648 2
 
5.1%
253 1
 
2.6%
Other values (5) 5
12.8%
ValueCountFrequency (%)
24 2
 
5.1%
53 1
 
2.6%
253 1
 
2.6%
281 3
7.7%
283 1
 
2.6%
407 1
 
2.6%
411 2
 
5.1%
507 2
 
5.1%
538 2
 
5.1%
582 5
12.8%
ValueCountFrequency (%)
648 2
 
5.1%
633 1
 
2.6%
624 9
23.1%
622 1
 
2.6%
597 6
15.4%
582 5
12.8%
538 2
 
5.1%
507 2
 
5.1%
411 2
 
5.1%
407 1
 
2.6%

호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)91.9%
Missing2
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean137.56757
Minimum4
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T22:48:16.769503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.6
Q120
median102
Q3193
95-th percentile435.2
Maximum519
Range515
Interquartile range (IQR)173

Descriptive statistics

Standard deviation148.30122
Coefficient of variation (CV)1.0780246
Kurtosis0.70300163
Mean137.56757
Median Absolute Deviation (MAD)85
Skewness1.3030192
Sum5090
Variance21993.252
MonotonicityNot monotonic
2024-01-28T22:48:16.871724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
107 2
 
5.1%
72 2
 
5.1%
14 2
 
5.1%
50 1
 
2.6%
199 1
 
2.6%
8 1
 
2.6%
13 1
 
2.6%
29 1
 
2.6%
519 1
 
2.6%
488 1
 
2.6%
Other values (24) 24
61.5%
(Missing) 2
 
5.1%
ValueCountFrequency (%)
4 1
2.6%
6 1
2.6%
8 1
2.6%
11 1
2.6%
12 1
2.6%
13 1
2.6%
14 2
5.1%
17 1
2.6%
20 1
2.6%
21 1
2.6%
ValueCountFrequency (%)
519 1
2.6%
488 1
2.6%
422 1
2.6%
418 1
2.6%
409 1
2.6%
277 1
2.6%
272 1
2.6%
260 1
2.6%
199 1
2.6%
193 1
2.6%

공부지목
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
대
29 
잡종지
6 
전
 
2
학교용지
 
1
임야
 
1

Length

Max length4
Median length1
Mean length1.4102564
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row대
2nd row대
3rd row학교용지
4th row대
5th row대

Common Values

ValueCountFrequency (%)
대 29
74.4%
잡종지 6
 
15.4%
전 2
 
5.1%
학교용지 1
 
2.6%
임야 1
 
2.6%

Length

2024-01-28T22:48:16.970939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:48:17.430416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 29
74.4%
잡종지 6
 
15.4%
전 2
 
5.1%
학교용지 1
 
2.6%
임야 1
 
2.6%

실소유면적
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.707692
Minimum2
Maximum114.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T22:48:17.528024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median23
Q337
95-th percentile78.95
Maximum114.8
Range112.8
Interquartile range (IQR)33

Descriptive statistics

Standard deviation26.60585
Coefficient of variation (CV)0.99618678
Kurtosis2.1421719
Mean26.707692
Median Absolute Deviation (MAD)19
Skewness1.4294903
Sum1041.6
Variance707.87126
MonotonicityNot monotonic
2024-01-28T22:48:17.633730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.0 5
 
12.8%
27.0 2
 
5.1%
31.0 2
 
5.1%
43.0 2
 
5.1%
66.0 2
 
5.1%
10.0 2
 
5.1%
4.0 2
 
5.1%
23.0 2
 
5.1%
32.0 2
 
5.1%
3.0 2
 
5.1%
Other values (16) 16
41.0%
ValueCountFrequency (%)
2.0 5
12.8%
2.3 1
 
2.6%
3.0 2
 
5.1%
3.3 1
 
2.6%
4.0 2
 
5.1%
5.0 1
 
2.6%
8.0 1
 
2.6%
9.8 1
 
2.6%
10.0 2
 
5.1%
11.0 1
 
2.6%
ValueCountFrequency (%)
114.8 1
2.6%
83.9 1
2.6%
78.4 1
2.6%
66.0 2
5.1%
49.1 1
2.6%
45.0 1
2.6%
43.0 2
5.1%
40.0 1
2.6%
34.0 1
2.6%
32.0 2
5.1%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.748718
Minimum2
Maximum114.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T22:48:17.732287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14.5
median27
Q343
95-th percentile85.82
Maximum114.8
Range112.8
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation29.213325
Coefficient of variation (CV)0.95006644
Kurtosis0.65800566
Mean30.748718
Median Absolute Deviation (MAD)19
Skewness1.120699
Sum1199.2
Variance853.41835
MonotonicityNot monotonic
2024-01-28T22:48:17.852877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.0 5
 
12.8%
27.0 2
 
5.1%
31.0 2
 
5.1%
43.0 2
 
5.1%
66.0 2
 
5.1%
10.0 2
 
5.1%
4.0 2
 
5.1%
23.0 2
 
5.1%
32.0 2
 
5.1%
3.0 2
 
5.1%
Other values (16) 16
41.0%
ValueCountFrequency (%)
2.0 5
12.8%
2.3 1
 
2.6%
3.0 2
 
5.1%
4.0 2
 
5.1%
5.0 1
 
2.6%
8.0 1
 
2.6%
10.0 2
 
5.1%
11.0 1
 
2.6%
17.0 1
 
2.6%
22.0 1
 
2.6%
ValueCountFrequency (%)
114.8 1
2.6%
86.0 1
2.6%
85.8 1
2.6%
83.9 1
2.6%
78.4 1
2.6%
66.0 2
5.1%
49.1 1
2.6%
45.0 1
2.6%
43.0 2
5.1%
40.0 1
2.6%

Interactions

2024-01-28T22:48:15.554329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:14.649488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:14.931603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.216254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.652787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:14.720181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.003015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.297164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.724751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:14.791247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.069539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.374431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.798617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:14.865232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.148185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:48:15.465802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:48:17.937982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호공부지목실소유면적공부면적
번지1.0000.0000.8160.7640.714
호0.0001.0000.0000.0000.000
공부지목0.8160.0001.0000.7910.766
실소유면적0.7640.0000.7911.0000.998
공부면적0.7140.0000.7660.9981.000
2024-01-28T22:48:18.022471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호실소유면적공부면적공부지목
번지1.0000.376-0.318-0.3230.682
호0.3761.000-0.097-0.1120.000
실소유면적-0.318-0.0971.0000.9000.573
공부면적-0.323-0.1120.9001.0000.541
공부지목0.6820.0000.5730.5411.000

Missing values

2024-01-28T22:48:15.901398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:48:16.003633image/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

재산구분재산관리관동명번지호공부지목실소유면적공부면적
0일반재산미추홀구청 재무과도화동24107대2.32.3
1일반재산미추홀구청 재무과도화동24108대49.149.1
2일반재산미추홀구청 재무과도화동253<NA>학교용지114.8114.8
3일반재산미추홀구청 재무과도화동28111대43.043.0
4일반재산미추홀구청 재무과도화동28121대66.066.0
5일반재산미추홀구청 재무과도화동28150대2.02.0
6일반재산미추홀구청 재무과도화동283<NA>잡종지78.478.4
7일반재산미추홀구청 재무과도화동40772대4.04.0
8일반재산미추홀구청 재무과도화동41152전34.034.0
9일반재산미추홀구청 재무과도화동411114전32.032.0
재산구분재산관리관동명번지호공부지목실소유면적공부면적
29일반재산미추홀구청 재무과도화동624277대32.032.0
30일반재산미추홀구청 재무과도화동624409대2.02.0
31일반재산미추홀구청 재무과도화동624418대10.010.0
32일반재산미추홀구청 재무과도화동624422대23.023.0
33일반재산미추홀구청 재무과도화동624488대40.040.0
34일반재산미추홀구청 재무과도화동624519대3.03.0
35일반재산미추홀구청 재무과도화동63329대11.011.0
36일반재산미추홀구청 재무과도화동64813잡종지2.02.0
37일반재산미추홀구청 재무과도화동64814잡종지4.04.0
38일반재산미추홀구청 재무과도화동538임야66.066.0