Overview

Dataset statistics

Number of variables8
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory69.2 B

Variable types

Categorical4
Numeric4

Dataset

Description인천광역시 미추홀구 학익동지역의 시유지 현황 데이터로 위임재산관리관,동명,번지,공부지목 등의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15100127&srcSe=7661IVAWM27C61E190

Alerts

재산구분 has constant value ""Constant
위임 재산관리관 has constant value ""Constant
동명 has constant value ""Constant
번지 is highly overall correlated with 공부지목High correlation
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 overall correlated with 번지High correlation

Reproduction

Analysis started2024-01-28 13:03:42.562216
Analysis finished2024-01-28 13:03:44.156727
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
일반재산
106 

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 106
100.0%

Length

2024-01-28T22:03:44.208357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:03:44.288688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 106
100.0%

위임 재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
미추홀구청 재무과
106 

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 106
100.0%

Length

2024-01-28T22:03:44.676125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:03:44.744495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 106
50.0%
재무과 106
50.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
학익동
106 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학익동 106
100.0%

Length

2024-01-28T22:03:44.822246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:03:44.895338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학익동 106
100.0%

번지
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.19811
Minimum1
Maximum684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T22:03:44.981646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile82
Q1304.5
median315
Q3322
95-th percentile437.75
Maximum684
Range683
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation105.22343
Coefficient of variation (CV)0.34252629
Kurtosis4.102729
Mean307.19811
Median Absolute Deviation (MAD)10
Skewness0.22259522
Sum32563
Variance11071.97
MonotonicityIncreasing
2024-01-28T22:03:45.086912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
322 14
13.2%
315 13
 
12.3%
312 10
 
9.4%
329 7
 
6.6%
318 6
 
5.7%
306 6
 
5.7%
261 5
 
4.7%
82 4
 
3.8%
209 4
 
3.8%
317 3
 
2.8%
Other values (26) 34
32.1%
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
75 1
 
0.9%
82 4
3.8%
83 1
 
0.9%
209 4
3.8%
212 1
 
0.9%
213 3
2.8%
214 1
 
0.9%
259 1
 
0.9%
ValueCountFrequency (%)
684 1
 
0.9%
683 1
 
0.9%
624 1
 
0.9%
492 1
 
0.9%
438 2
1.9%
437 3
2.8%
422 1
 
0.9%
419 1
 
0.9%
409 2
1.9%
407 1
 
0.9%

호
Real number (ℝ)

Distinct67
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.09434
Minimum0
Maximum388
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T22:03:45.208575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.25
Q113.5
median56
Q365.75
95-th percentile264.75
Maximum388
Range388
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation87.381542
Coefficient of variation (CV)1.1954625
Kurtosis4.0505556
Mean73.09434
Median Absolute Deviation (MAD)24.5
Skewness2.1325495
Sum7748
Variance7635.5339
MonotonicityNot monotonic
2024-01-28T22:03:45.342500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 5
 
4.7%
58 4
 
3.8%
57 4
 
3.8%
59 3
 
2.8%
60 3
 
2.8%
61 3
 
2.8%
56 3
 
2.8%
10 3
 
2.8%
55 3
 
2.8%
65 2
 
1.9%
Other values (57) 73
68.9%
ValueCountFrequency (%)
0 1
 
0.9%
1 2
 
1.9%
3 1
 
0.9%
4 2
 
1.9%
5 2
 
1.9%
6 1
 
0.9%
7 5
4.7%
8 2
 
1.9%
9 2
 
1.9%
10 3
2.8%
ValueCountFrequency (%)
388 1
0.9%
387 1
0.9%
386 1
0.9%
267 1
0.9%
266 1
0.9%
265 1
0.9%
264 1
0.9%
263 1
0.9%
262 1
0.9%
258 1
0.9%

공부지목
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
도로
72 
대
18 
전
9 
잡종지
 
7

Length

Max length3
Median length2
Mean length1.8113208
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로 72
67.9%
대 18
 
17.0%
전 9
 
8.5%
잡종지 7
 
6.6%

Length

2024-01-28T22:03:45.476710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:03:45.571757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로 72
67.9%
대 18
 
17.0%
전 9
 
8.5%
잡종지 7
 
6.6%

실소유(연)면적
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.389717
Minimum1
Maximum4641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T22:03:45.668474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17
median16
Q343.75
95-th percentile253.875
Maximum4641
Range4640
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation459.69156
Coefficient of variation (CV)4.7201242
Kurtosis93.270377
Mean97.389717
Median Absolute Deviation (MAD)10
Skewness9.4320719
Sum10323.31
Variance211316.33
MonotonicityNot monotonic
2024-01-28T22:03:45.775729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 6
 
5.7%
2.0 5
 
4.7%
3.0 5
 
4.7%
7.0 5
 
4.7%
11.0 4
 
3.8%
13.0 4
 
3.8%
6.0 4
 
3.8%
20.0 4
 
3.8%
4.0 4
 
3.8%
5.0 4
 
3.8%
Other values (46) 61
57.5%
ValueCountFrequency (%)
1.0 1
 
0.9%
2.0 5
4.7%
3.0 5
4.7%
4.0 4
3.8%
5.0 4
3.8%
6.0 4
3.8%
7.0 5
4.7%
8.0 2
 
1.9%
9.0 6
5.7%
10.0 2
 
1.9%
ValueCountFrequency (%)
4641.0 1
0.9%
937.0 1
0.9%
350.0 1
0.9%
305.0 1
0.9%
294.5 1
0.9%
261.0 1
0.9%
232.5 1
0.9%
226.0 1
0.9%
224.0 1
0.9%
201.0 1
0.9%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.44528
Minimum1
Maximum4641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T22:03:45.883782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median17
Q364.5
95-th percentile289.875
Maximum4641
Range4640
Interquartile range (IQR)57.25

Descriptive statistics

Standard deviation460.73294
Coefficient of variation (CV)4.4112374
Kurtosis91.809933
Mean104.44528
Median Absolute Deviation (MAD)12
Skewness9.3255501
Sum11071.2
Variance212274.84
MonotonicityNot monotonic
2024-01-28T22:03:45.992202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 6
 
5.7%
7.0 5
 
4.7%
2.0 5
 
4.7%
20.0 4
 
3.8%
3.0 4
 
3.8%
4.0 4
 
3.8%
11.0 4
 
3.8%
5.0 4
 
3.8%
13.0 4
 
3.8%
6.0 4
 
3.8%
Other values (46) 62
58.5%
ValueCountFrequency (%)
1.0 1
 
0.9%
2.0 5
4.7%
3.0 4
3.8%
4.0 4
3.8%
5.0 4
3.8%
6.0 4
3.8%
7.0 5
4.7%
8.0 2
 
1.9%
9.0 6
5.7%
10.0 2
 
1.9%
ValueCountFrequency (%)
4641.0 1
0.9%
937.0 1
0.9%
423.0 1
0.9%
350.0 1
0.9%
305.0 1
0.9%
294.5 1
0.9%
276.0 1
0.9%
261.0 1
0.9%
248.0 1
0.9%
230.0 1
0.9%

Interactions

2024-01-28T22:03:43.643167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:42.774837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.076295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.370992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.743883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:42.857537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.156633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.448599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.835232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:42.939968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.239167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.520886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.902245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.008682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.304500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:03:43.583816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:03:46.065423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호공부지목실소유(연)면적공부면적
번지1.0000.2680.8610.0000.000
호0.2681.0000.5100.0000.000
공부지목0.8610.5101.0000.3440.344
실소유(연)면적0.0000.0000.3441.0001.000
공부면적0.0000.0000.3441.0001.000
2024-01-28T22:03:46.162039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호실소유(연)면적공부면적공부지목
번지1.000-0.1700.0340.0420.528
호-0.1701.000-0.353-0.3770.370
실소유(연)면적0.034-0.3531.0000.9500.331
공부면적0.042-0.3770.9501.0000.331
공부지목0.5280.3700.3310.3311.000

Missing values

2024-01-28T22:03:43.994226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:03:44.112543image/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 재무과학익동15대224.0423.0
1일반재산미추홀구청 재무과학익동222도로23.023.0
2일반재산미추홀구청 재무과학익동7522전1.01.0
3일반재산미추홀구청 재무과학익동827전20.020.0
4일반재산미추홀구청 재무과학익동828전73.073.0
5일반재산미추홀구청 재무과학익동8211전350.0350.0
6일반재산미추홀구청 재무과학익동8215전63.063.0
7일반재산미추홀구청 재무과학익동8312전232.5248.0
8일반재산미추홀구청 재무과학익동20941도로6.06.0
9일반재산미추홀구청 재무과학익동20942도로7.07.0
재산구분위임 재산관리관동명번지호공부지목실소유(연)면적공부면적
96일반재산미추홀구청 재무과학익동42216대89.089.0
97일반재산미추홀구청 재무과학익동43736도로9.09.0
98일반재산미추홀구청 재무과학익동43737도로9.09.0
99일반재산미추홀구청 재무과학익동43738도로5.05.0
100일반재산미추홀구청 재무과학익동43812도로20.020.0
101일반재산미추홀구청 재무과학익동43813도로13.013.0
102일반재산미추홀구청 재무과학익동4924전89.089.0
103일반재산미추홀구청 재무과학익동62440대69.069.0
104일반재산미추홀구청 재무과학익동6831잡종지200.7200.7
105일반재산미추홀구청 재무과학익동68410잡종지294.5294.5