Overview

Dataset statistics

Number of variables8
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory70.1 B

Variable types

Categorical4
Numeric4

Dataset

Description인천광역시 미추홀구 숭의동지역의 시유지 현황 데이터로 위임 재산관리관,동명,공부지목, 면적 등의 데이터를 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15100083

Alerts

재산구분 has constant value ""Constant
위임 재산관리관 has constant value ""Constant
동명 has constant value ""Constant
실소유(연)면적 is highly overall correlated with 공부면적 High correlation
공부면적 is highly overall correlated with 실소유(연)면적 High correlation
공부지목 is highly imbalanced (54.2%)Imbalance
호 has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-01-28 15:49:48.792471
Analysis finished2024-01-28 15:49:50.230956
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
일반재산
64 

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 64
100.0%

Length

2024-01-29T00:49:50.277725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:49:50.352281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 64
100.0%

위임 재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
미추홀구청 재무과
64 

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 64
100.0%

Length

2024-01-29T00:49:50.434024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:49:50.507165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 64
50.0%
재무과 64
50.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
숭의동
64 

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 64
100.0%

Length

2024-01-29T00:49:50.586056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:49:50.655586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숭의동 64
100.0%

번지
Real number (ℝ)

Distinct31
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.84375
Minimum2
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-29T00:49:50.726973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q133
median105.5
Q3166
95-th percentile377.75
Maximum383
Range381
Interquartile range (IQR)133

Descriptive statistics

Standard deviation107.44511
Coefficient of variation (CV)0.85379774
Kurtosis0.57306939
Mean125.84375
Median Absolute Deviation (MAD)65
Skewness1.0847677
Sum8054
Variance11544.451
MonotonicityIncreasing
2024-01-29T00:49:50.826778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
166 5
 
7.8%
33 5
 
7.8%
103 5
 
7.8%
124 5
 
7.8%
383 4
 
6.2%
31 3
 
4.7%
129 3
 
4.7%
5 3
 
4.7%
10 2
 
3.1%
13 2
 
3.1%
Other values (21) 27
42.2%
ValueCountFrequency (%)
2 1
 
1.6%
4 1
 
1.6%
5 3
4.7%
8 2
 
3.1%
10 2
 
3.1%
13 2
 
3.1%
31 3
4.7%
33 5
7.8%
36 1
 
1.6%
76 1
 
1.6%
ValueCountFrequency (%)
383 4
6.2%
348 2
 
3.1%
340 1
 
1.6%
289 1
 
1.6%
232 1
 
1.6%
231 1
 
1.6%
224 1
 
1.6%
182 1
 
1.6%
166 5
7.8%
165 1
 
1.6%

호
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.84375
Minimum0
Maximum342
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-29T00:49:50.928767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.15
Q117.75
median30.5
Q356.5
95-th percentile220.25
Maximum342
Range342
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation67.48056
Coefficient of variation (CV)1.2304148
Kurtosis5.6612086
Mean54.84375
Median Absolute Deviation (MAD)16
Skewness2.3462168
Sum3510
Variance4553.626
MonotonicityNot monotonic
2024-01-29T00:49:51.029816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 3
 
4.7%
7 3
 
4.7%
27 2
 
3.1%
19 2
 
3.1%
40 2
 
3.1%
33 2
 
3.1%
2 2
 
3.1%
38 2
 
3.1%
29 2
 
3.1%
30 2
 
3.1%
Other values (40) 42
65.6%
ValueCountFrequency (%)
0 1
 
1.6%
2 2
3.1%
6 1
 
1.6%
7 3
4.7%
8 1
 
1.6%
9 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
14 1
 
1.6%
ValueCountFrequency (%)
342 1
1.6%
229 1
1.6%
228 1
1.6%
224 1
1.6%
199 1
1.6%
198 1
1.6%
129 1
1.6%
118 1
1.6%
114 1
1.6%
113 1
1.6%

공부지목
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
대
52 
잡종지
 
4
전
 
3
도로
 
3
철도용지
 
2

Length

Max length4
Median length1
Mean length1.265625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 52
81.2%
잡종지 4
 
6.2%
전 3
 
4.7%
도로 3
 
4.7%
철도용지 2
 
3.1%

Length

2024-01-29T00:49:51.130263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:49:51.210550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 52
81.2%
잡종지 4
 
6.2%
전 3
 
4.7%
도로 3
 
4.7%
철도용지 2
 
3.1%

실소유(연)면적
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.692969
Minimum0.8
Maximum958.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-29T00:49:51.298599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile2.615
Q18.825
median51.1
Q3118.25
95-th percentile338.745
Maximum958.98
Range958.18
Interquartile range (IQR)109.425

Descriptive statistics

Standard deviation159.07045
Coefficient of variation (CV)1.5956035
Kurtosis15.162322
Mean99.692969
Median Absolute Deviation (MAD)44.615
Skewness3.5349827
Sum6380.35
Variance25303.407
MonotonicityNot monotonic
2024-01-29T00:49:51.398277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 2
 
3.1%
36.0 2
 
3.1%
7.35 1
 
1.6%
958.98 1
 
1.6%
187.42 1
 
1.6%
225.27 1
 
1.6%
29.13 1
 
1.6%
3.73 1
 
1.6%
288.0 1
 
1.6%
64.4 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
0.8 1
1.6%
0.83 1
1.6%
1.0 1
1.6%
2.6 1
1.6%
2.7 1
1.6%
3.73 1
1.6%
4.0 1
1.6%
4.8 1
1.6%
6.0 2
3.1%
6.04 1
1.6%
ValueCountFrequency (%)
958.98 1
1.6%
665.0 1
1.6%
458.5 1
1.6%
347.7 1
1.6%
288.0 1
1.6%
225.27 1
1.6%
218.8 1
1.6%
194.2 1
1.6%
187.42 1
1.6%
178.0 1
1.6%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.28906
Minimum1
Maximum1620.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-29T00:49:51.497715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.89
Q125.75
median70
Q3166.7
95-th percentile464.025
Maximum1620.5
Range1619.5
Interquartile range (IQR)140.95

Descriptive statistics

Standard deviation235.11201
Coefficient of variation (CV)1.6182361
Kurtosis24.629613
Mean145.28906
Median Absolute Deviation (MAD)57.7
Skewness4.3422976
Sum9298.5
Variance55277.658
MonotonicityNot monotonic
2024-01-29T00:49:51.600239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.0 2
 
3.1%
36.0 2
 
3.1%
107.1 1
 
1.6%
256.4 1
 
1.6%
312.9 1
 
1.6%
41.2 1
 
1.6%
5.4 1
 
1.6%
323.5 1
 
1.6%
64.4 1
 
1.6%
112.6 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
1.0 1
1.6%
2.6 1
1.6%
4.0 1
1.6%
4.8 1
1.6%
5.4 1
1.6%
6.0 1
1.6%
6.4 1
1.6%
6.5 1
1.6%
8.3 1
1.6%
9.0 1
1.6%
ValueCountFrequency (%)
1620.5 1
1.6%
665.0 1
1.6%
494.0 1
1.6%
465.0 1
1.6%
458.5 1
1.6%
423.5 1
1.6%
344.8 1
1.6%
323.5 1
1.6%
312.9 1
1.6%
306.1 1
1.6%

Interactions

2024-01-29T00:49:49.792790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:48.975944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.251026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.524462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.864698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.048591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.321005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.592469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.948614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.115833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.392135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.662073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:50.011259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.178447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.454668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:49:49.725171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:49:51.673740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호공부지목실소유(연)면적공부면적
번지1.0000.0000.3100.5670.357
호0.0001.0000.3170.0000.332
공부지목0.3100.3171.0000.2760.000
실소유(연)면적0.5670.0000.2761.0000.875
공부면적0.3570.3320.0000.8751.000
2024-01-29T00:49:51.746851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호실소유(연)면적공부면적공부지목
번지1.000-0.141-0.1550.0870.118
호-0.1411.000-0.106-0.2500.202
실소유(연)면적-0.155-0.1061.0000.8170.173
공부면적0.087-0.2500.8171.0000.000
공부지목0.1180.2020.1730.0001.000

Missing values

2024-01-29T00:49:50.103893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:49:50.195016image/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

재산구분위임 재산관리관동명번지호공부지목실소유(연)면적공부면적
0일반재산미추홀구청 재무과숭의동2224대4.04.0
1일반재산미추홀구청 재무과숭의동430대63.063.0
2일반재산미추홀구청 재무과숭의동522대25.025.0
3일반재산미추홀구청 재무과숭의동523대93.093.0
4일반재산미추홀구청 재무과숭의동5113잡종지178.0178.0
5일반재산미추홀구청 재무과숭의동866대54.054.0
6일반재산미추홀구청 재무과숭의동8198대122.0122.0
7일반재산미추홀구청 재무과숭의동1053대36.036.0
8일반재산미추홀구청 재무과숭의동1054대30.030.0
9일반재산미추홀구청 재무과숭의동1318잡종지36.036.0
재산구분위임 재산관리관동명번지호공부지목실소유(연)면적공부면적
54일반재산미추홀구청 재무과숭의동231129도로117.0117.0
55일반재산미추홀구청 재무과숭의동2329대6.5726.0
56일반재산미추홀구청 재무과숭의동28939대347.7423.5
57일반재산미추홀구청 재무과숭의동3407대6.04344.8
58일반재산미추홀구청 재무과숭의동34829도로131.6131.6
59일반재산미추홀구청 재무과숭의동34839도로138.8138.8
60일반재산미추홀구청 재무과숭의동38312대11.5690.2
61일반재산미추홀구청 재무과숭의동38321대32.34217.0
62일반재산미추홀구청 재무과숭의동38326대6.9847.8
63일반재산미추홀구청 재무과숭의동38327대0.836.5