Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory70.4 B

Variable types

Categorical4
Numeric4

Dataset

Description인천광역시 미추홀구 도화동지역의 시유지 현황 데이터로 위임재산관리관,동명,번지,공부지목 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15100073/fileData.do

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
호 has 2 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-12 20:06:17.430724
Analysis finished2023-12-12 20:06:19.664364
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
일반재산
54 

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 54
100.0%

Length

2023-12-13T05:06:19.767264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:19.880280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 54
100.0%

위임 재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
미추홀구청 재무과
54 

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 54
100.0%

Length

2023-12-13T05:06:20.014920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:20.115196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 54
50.0%
재무과 54
50.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
도화동
54 

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 54
100.0%

Length

2023-12-13T05:06:20.221428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:20.339654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도화동 54
100.0%

번지
Real number (ℝ)

Distinct34
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean430.44444
Minimum24
Maximum943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T05:06:20.441341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile85.55
Q1360
median408
Q3597
95-th percentile761
Maximum943
Range919
Interquartile range (IQR)237

Descriptive statistics

Standard deviation216.28813
Coefficient of variation (CV)0.50247629
Kurtosis0.2095039
Mean430.44444
Median Absolute Deviation (MAD)131.5
Skewness0.17052444
Sum23244
Variance46780.553
MonotonicityIncreasing
2023-12-13T05:06:20.596313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
360 6
 
11.1%
624 4
 
7.4%
411 3
 
5.6%
597 3
 
5.6%
388 3
 
5.6%
127 2
 
3.7%
93 2
 
3.7%
649 2
 
3.7%
387 2
 
3.7%
943 2
 
3.7%
Other values (24) 25
46.3%
ValueCountFrequency (%)
24 1
 
1.9%
81 2
 
3.7%
88 1
 
1.9%
92 1
 
1.9%
93 2
 
3.7%
119 1
 
1.9%
127 2
 
3.7%
360 6
11.1%
368 1
 
1.9%
387 2
 
3.7%
ValueCountFrequency (%)
943 2
3.7%
917 1
 
1.9%
677 1
 
1.9%
649 2
3.7%
639 1
 
1.9%
631 1
 
1.9%
624 4
7.4%
597 3
5.6%
557 1
 
1.9%
541 1
 
1.9%

호
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.111111
Minimum0
Maximum167
Zeros2
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T05:06:20.749180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median19
Q353
95-th percentile145.35
Maximum167
Range167
Interquartile range (IQR)44

Descriptive statistics

Standard deviation46.73517
Coefficient of variation (CV)1.1651427
Kurtosis1.063791
Mean40.111111
Median Absolute Deviation (MAD)13
Skewness1.4817943
Sum2166
Variance2184.1761
MonotonicityNot monotonic
2023-12-13T05:06:20.927957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
9 3
 
5.6%
2 3
 
5.6%
1 3
 
5.6%
17 2
 
3.7%
20 2
 
3.7%
0 2
 
3.7%
15 2
 
3.7%
18 2
 
3.7%
6 2
 
3.7%
13 2
 
3.7%
Other values (30) 31
57.4%
ValueCountFrequency (%)
0 2
3.7%
1 3
5.6%
2 3
5.6%
6 2
3.7%
7 1
 
1.9%
8 1
 
1.9%
9 3
5.6%
11 1
 
1.9%
13 2
3.7%
14 2
3.7%
ValueCountFrequency (%)
167 1
1.9%
157 1
1.9%
146 1
1.9%
145 1
1.9%
141 1
1.9%
136 1
1.9%
114 1
1.9%
88 1
1.9%
82 1
1.9%
79 1
1.9%

공부지목
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
대
32 
도로
11 
잡종지
7 
전
4 

Length

Max length3
Median length1
Mean length1.462963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 32
59.3%
도로 11
 
20.4%
잡종지 7
 
13.0%
전 4
 
7.4%

Length

2023-12-13T05:06:21.107492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:21.235301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 32
59.3%
도로 11
 
20.4%
잡종지 7
 
13.0%
전 4
 
7.4%

실소유(연)면적
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.354074
Minimum0.1
Maximum427.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T05:06:21.353998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.585
Q17.85
median17.355
Q350.55
95-th percentile270.955
Maximum427.4
Range427.3
Interquartile range (IQR)42.7

Descriptive statistics

Standard deviation90.981158
Coefficient of variation (CV)1.6144557
Kurtosis5.8826211
Mean56.354074
Median Absolute Deviation (MAD)13
Skewness2.4438859
Sum3043.12
Variance8277.5711
MonotonicityNot monotonic
2023-12-13T05:06:21.501556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.0 2
 
3.7%
3.0 2
 
3.7%
2.9 1
 
1.9%
36.3 1
 
1.9%
16.5 1
 
1.9%
9.37 1
 
1.9%
76.8 1
 
1.9%
41.84 1
 
1.9%
64.6 1
 
1.9%
11.0 1
 
1.9%
Other values (42) 42
77.8%
ValueCountFrequency (%)
0.1 1
1.9%
1.0 1
1.9%
2.0 1
1.9%
2.9 1
1.9%
3.0 2
3.7%
3.5 1
1.9%
4.4 1
1.9%
5.0 1
1.9%
5.4 1
1.9%
7.0 1
1.9%
ValueCountFrequency (%)
427.4 1
1.9%
316.6 1
1.9%
291.3 1
1.9%
260.0 1
1.9%
199.0 1
1.9%
182.0 1
1.9%
165.0 1
1.9%
151.0 1
1.9%
122.0 1
1.9%
76.8 1
1.9%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.081481
Minimum0.1
Maximum1880.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T05:06:21.650704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.585
Q17.85
median19.45
Q366.175
95-th percentile300.155
Maximum1880.7
Range1880.6
Interquartile range (IQR)58.325

Descriptive statistics

Standard deviation264.04698
Coefficient of variation (CV)2.8675362
Kurtosis41.39548
Mean92.081481
Median Absolute Deviation (MAD)15.3
Skewness6.1383709
Sum4972.4
Variance69720.808
MonotonicityNot monotonic
2023-12-13T05:06:21.790285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.0 2
 
3.7%
3.0 2
 
3.7%
2.9 1
 
1.9%
36.3 1
 
1.9%
16.5 1
 
1.9%
56.2 1
 
1.9%
76.8 1
 
1.9%
1880.7 1
 
1.9%
64.6 1
 
1.9%
11.0 1
 
1.9%
Other values (42) 42
77.8%
ValueCountFrequency (%)
0.1 1
1.9%
1.0 1
1.9%
2.0 1
1.9%
2.9 1
1.9%
3.0 2
3.7%
3.5 1
1.9%
4.4 1
1.9%
5.0 1
1.9%
5.4 1
1.9%
7.0 1
1.9%
ValueCountFrequency (%)
1880.7 1
1.9%
427.4 1
1.9%
316.6 1
1.9%
291.3 1
1.9%
260.0 1
1.9%
199.0 1
1.9%
182.0 1
1.9%
165.0 1
1.9%
151.0 1
1.9%
122.0 1
1.9%

Interactions

2023-12-13T05:06:18.731702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:17.643163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.024264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.397990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.812728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:17.736540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.104403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.479112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.929149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:17.827969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.204423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.578215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:19.305561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:17.913858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.292019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:18.650218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:06:21.904675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호공부지목실소유(연)면적공부면적
번지1.0000.5290.8370.4990.689
호0.5291.0000.6540.0000.000
공부지목0.8370.6541.0000.5910.000
실소유(연)면적0.4990.0000.5911.0000.966
공부면적0.6890.0000.0000.9661.000
2023-12-13T05:06:22.035355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호실소유(연)면적공부면적공부지목
번지1.000-0.1290.4640.4760.486
호-0.1291.000-0.110-0.1390.457
실소유(연)면적0.464-0.1101.0000.9700.281
공부면적0.476-0.1390.9701.0000.000
공부지목0.4860.4570.2810.0001.000

Missing values

2023-12-13T05:06:19.424830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:06:19.568968image/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 재무과도화동24136대2.92.9
1일반재산미추홀구청 재무과도화동816대66.766.7
2일반재산미추홀구청 재무과도화동819대427.4427.4
3일반재산미추홀구청 재무과도화동8816대20.520.5
4일반재산미추홀구청 재무과도화동9215대10.310.3
5일반재산미추홀구청 재무과도화동9349대21.621.6
6일반재산미추홀구청 재무과도화동9350대7.77.7
7일반재산미추홀구청 재무과도화동11979대18.418.4
8일반재산미추홀구청 재무과도화동12772대0.10.1
9일반재산미추홀구청 재무과도화동12775대2.02.0
재산구분위임 재산관리관동명번지호공부지목실소유(연)면적공부면적
44일반재산미추홀구청 재무과도화동624146잡종지165.0165.0
45일반재산미추홀구청 재무과도화동624157잡종지122.0122.0
46일반재산미추홀구청 재무과도화동63118대1.01.0
47일반재산미추홀구청 재무과도화동63914대8.08.0
48일반재산미추홀구청 재무과도화동64911잡종지51.051.0
49일반재산미추홀구청 재무과도화동64917잡종지151.0151.0
50일반재산미추홀구청 재무과도화동6779대30.430.4
51일반재산미추홀구청 재무과도화동9170대23.523.5
52일반재산미추홀구청 재무과도화동9430대199.0199.0
53일반재산미추홀구청 재무과도화동9432대316.6316.6