Overview

Dataset statistics

Number of variables8
Number of observations108
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory69.2 B

Variable types

Categorical4
Numeric4

Dataset

Description인천광역시 미추홀구 숭의동지역의 구유지 현황 데이터로 재산구분, 재산관리관,동명,번지,호,공부지목 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15099936&srcSe=7661IVAWM27C61E190

Alerts

재산구분 has constant value ""Constant
재산관리관 has constant value ""Constant
동명 has constant value ""Constant
실소유면적 is highly overall correlated with 공부면적 High correlation
공부면적 is highly overall correlated with 실소유면적 High correlation
공부지목 is highly imbalanced (60.3%)Imbalance

Reproduction

Analysis started2024-01-28 16:12:13.240813
Analysis finished2024-01-28 16:12:14.677734
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
일반재산
108 

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 108
100.0%

Length

2024-01-29T01:12:14.728939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:12:15.110878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 108
100.0%

재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
미추홀구청 재무과
108 

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 108
100.0%

Length

2024-01-29T01:12:15.182158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:12:15.257521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 108
50.0%
재무과 108
50.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
숭의동
108 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숭의동 108
100.0%

Length

2024-01-29T01:12:15.329711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:12:15.398065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숭의동 108
100.0%

번지
Real number (ℝ)

Distinct39
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.48148
Minimum4
Maximum421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-29T01:12:15.472059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q119
median76
Q3230
95-th percentile303
Maximum421
Range417
Interquartile range (IQR)211

Descriptive statistics

Standard deviation114.2179
Coefficient of variation (CV)0.95594646
Kurtosis-0.33564402
Mean119.48148
Median Absolute Deviation (MAD)68
Skewness0.79309574
Sum12904
Variance13045.729
MonotonicityIncreasing
2024-01-29T01:12:15.565074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8 18
16.7%
230 15
 
13.9%
105 6
 
5.6%
19 5
 
4.6%
31 5
 
4.6%
403 4
 
3.7%
20 4
 
3.7%
248 4
 
3.7%
109 3
 
2.8%
229 3
 
2.8%
Other values (29) 41
38.0%
ValueCountFrequency (%)
4 2
 
1.9%
6 2
 
1.9%
7 1
 
0.9%
8 18
16.7%
12 2
 
1.9%
19 5
 
4.6%
20 4
 
3.7%
31 5
 
4.6%
32 2
 
1.9%
33 2
 
1.9%
ValueCountFrequency (%)
421 1
 
0.9%
403 4
 
3.7%
303 2
 
1.9%
289 1
 
0.9%
248 4
 
3.7%
242 1
 
0.9%
230 15
13.9%
229 3
 
2.8%
228 1
 
0.9%
221 1
 
0.9%

호
Real number (ℝ)

Distinct85
Distinct (%)79.4%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean87.682243
Minimum1
Maximum748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-29T01:12:15.659668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q129.5
median62
Q3110.5
95-th percentile261.8
Maximum748
Range747
Interquartile range (IQR)81

Descriptive statistics

Standard deviation98.383788
Coefficient of variation (CV)1.1220492
Kurtosis18.721598
Mean87.682243
Median Absolute Deviation (MAD)37
Skewness3.4506619
Sum9382
Variance9679.3698
MonotonicityNot monotonic
2024-01-29T01:12:15.765907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98 3
 
2.8%
28 3
 
2.8%
70 3
 
2.8%
63 2
 
1.9%
69 2
 
1.9%
68 2
 
1.9%
64 2
 
1.9%
7 2
 
1.9%
1 2
 
1.9%
31 2
 
1.9%
Other values (75) 84
77.8%
ValueCountFrequency (%)
1 2
1.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 2
1.9%
8 2
1.9%
9 1
0.9%
10 1
0.9%
12 2
1.9%
ValueCountFrequency (%)
748 1
0.9%
366 1
0.9%
285 1
0.9%
281 1
0.9%
277 1
0.9%
272 1
0.9%
238 1
0.9%
236 1
0.9%
231 1
0.9%
220 1
0.9%

공부지목
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size996.0 B
대
89 
잡종지
11 
전
 
6
공원
 
1
철도용지
 
1

Length

Max length4
Median length1
Mean length1.2407407
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row전
2nd row대
3rd row대
4th row대
5th row잡종지

Common Values

ValueCountFrequency (%)
대 89
82.4%
잡종지 11
 
10.2%
전 6
 
5.6%
공원 1
 
0.9%
철도용지 1
 
0.9%

Length

2024-01-29T01:12:15.892194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:12:15.994564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 89
82.4%
잡종지 11
 
10.2%
전 6
 
5.6%
공원 1
 
0.9%
철도용지 1
 
0.9%

실소유면적
Real number (ℝ)

HIGH CORRELATION 

Distinct67
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.538889
Minimum0.1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-29T01:12:16.090396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1
Q16.225
median21.1
Q340.25
95-th percentile72.3
Maximum139
Range138.9
Interquartile range (IQR)34.025

Descriptive statistics

Standard deviation27.398424
Coefficient of variation (CV)0.99489938
Kurtosis4.1185445
Mean27.538889
Median Absolute Deviation (MAD)16.1
Skewness1.7604644
Sum2974.2
Variance750.67361
MonotonicityNot monotonic
2024-01-29T01:12:16.195951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 7
 
6.5%
3.0 5
 
4.6%
2.0 4
 
3.7%
43.0 4
 
3.7%
5.0 4
 
3.7%
15.0 3
 
2.8%
11.0 3
 
2.8%
44.0 3
 
2.8%
33.0 3
 
2.8%
68.6 2
 
1.9%
Other values (57) 70
64.8%
ValueCountFrequency (%)
0.1 1
 
0.9%
1.0 7
6.5%
2.0 4
3.7%
2.3 2
 
1.9%
3.0 5
4.6%
4.0 2
 
1.9%
4.6 1
 
0.9%
5.0 4
3.7%
6.0 1
 
0.9%
6.3 1
 
0.9%
ValueCountFrequency (%)
139.0 1
0.9%
138.0 1
0.9%
109.0 1
0.9%
97.0 1
0.9%
73.0 2
1.9%
71.0 1
0.9%
69.0 2
1.9%
68.6 2
1.9%
59.0 1
0.9%
58.2 1
0.9%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.7
Minimum1
Maximum389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-29T01:12:16.312120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18.75
median30
Q350.4
95-th percentile182.625
Maximum389
Range388
Interquartile range (IQR)41.65

Descriptive statistics

Standard deviation62.592714
Coefficient of variation (CV)1.3403151
Kurtosis10.039173
Mean46.7
Median Absolute Deviation (MAD)21.3
Skewness2.8431849
Sum5043.6
Variance3917.8479
MonotonicityNot monotonic
2024-01-29T01:12:16.443250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 7
 
6.5%
3.0 5
 
4.6%
43.0 4
 
3.7%
33.0 4
 
3.7%
5.0 4
 
3.7%
44.0 3
 
2.8%
2.0 3
 
2.8%
26.0 3
 
2.8%
73.0 2
 
1.9%
24.0 2
 
1.9%
Other values (58) 71
65.7%
ValueCountFrequency (%)
1.0 7
6.5%
2.0 3
2.8%
2.3 1
 
0.9%
3.0 5
4.6%
4.0 2
 
1.9%
4.6 1
 
0.9%
5.0 4
3.7%
6.0 1
 
0.9%
6.3 1
 
0.9%
7.0 1
 
0.9%
ValueCountFrequency (%)
389.0 1
0.9%
277.0 1
0.9%
254.0 1
0.9%
193.0 1
0.9%
187.0 2
1.9%
174.5 1
0.9%
155.0 1
0.9%
139.0 1
0.9%
138.0 1
0.9%
132.0 1
0.9%

Interactions

2024-01-29T01:12:14.243419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.421139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.674199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.957915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:14.306800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.476408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.744817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:14.024411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:14.376424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.538134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.815428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:14.102437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:14.455394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.603177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:13.886255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:12:14.172047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:12:16.524197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호공부지목실소유면적공부면적
번지1.0000.0000.0000.0000.000
호0.0001.0000.1550.4290.062
공부지목0.0000.1551.0000.2900.000
실소유면적0.0000.4290.2901.0000.758
공부면적0.0000.0620.0000.7581.000
2024-01-29T01:12:16.598554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호실소유면적공부면적공부지목
번지1.000-0.089-0.114-0.0090.000
호-0.0891.000-0.185-0.1180.102
실소유면적-0.114-0.1851.0000.7990.166
공부면적-0.009-0.1180.7991.0000.000
공부지목0.0000.1020.1660.0001.000

Missing values

2024-01-29T01:12:14.550630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:12:14.641705image/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 재무과숭의동444전71.071.0
1일반재산미추홀구청 재무과숭의동452대33.033.0
2일반재산미추홀구청 재무과숭의동68대22.1100.0
3일반재산미추홀구청 재무과숭의동612대25.025.0
4일반재산미추홀구청 재무과숭의동7220잡종지7.07.0
5일반재산미추홀구청 재무과숭의동812대35.035.0
6일반재산미추홀구청 재무과숭의동823대69.069.0
7일반재산미추홀구청 재무과숭의동840대1.01.0
8일반재산미추홀구청 재무과숭의동848대17.017.0
9일반재산미추홀구청 재무과숭의동850대33.033.0
재산구분재산관리관동명번지호공부지목실소유면적공부면적
98일반재산미추홀구청 재무과숭의동248236대15.0277.0
99일반재산미추홀구청 재무과숭의동248285대0.12.0
100일반재산미추홀구청 재무과숭의동28942대12.212.2
101일반재산미추홀구청 재무과숭의동30355대2.32.3
102일반재산미추홀구청 재무과숭의동30398대11.911.9
103일반재산미추홀구청 재무과숭의동40331대36.036.0
104일반재산미추홀구청 재무과숭의동40338대3.03.0
105일반재산미추홀구청 재무과숭의동40340대1.01.0
106일반재산미추홀구청 재무과숭의동40341대34.034.0
107일반재산미추홀구청 재무과숭의동42110대38.038.0