Overview

Dataset statistics

Number of variables7
Number of observations197
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory58.7 B

Variable types

Numeric2
Categorical4
Text1

Dataset

Description인천광역시 남동구 공유재산 관리현황에 대한 데이터로 연번, 소유구분, 용도구분, 법정동, 소재지 지번, 지목, 면적 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15075582&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 소유구분 and 2 other fieldsHigh correlation
소유구분 is highly overall correlated with 연번High correlation
용도구분 is highly overall correlated with 연번High correlation
법정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:07:15.637986
Analysis finished2024-01-28 09:07:16.343665
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99
Minimum1
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T18:07:16.409121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.8
Q150
median99
Q3148
95-th percentile187.2
Maximum197
Range196
Interquartile range (IQR)98

Descriptive statistics

Standard deviation57.013156
Coefficient of variation (CV)0.57589047
Kurtosis-1.2
Mean99
Median Absolute Deviation (MAD)49
Skewness0
Sum19503
Variance3250.5
MonotonicityStrictly increasing
2024-01-28T18:07:16.544619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (187) 187
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%

소유구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
시유지
125 
구유지
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시유지 125
63.5%
구유지 72
36.5%

Length

2024-01-28T18:07:16.659987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:07:16.741597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시유지 125
63.5%
구유지 72
36.5%

용도구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
비축용
173 
대부중
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비축용 173
87.8%
대부중 24
 
12.2%

Length

2024-01-28T18:07:16.829195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:07:16.902493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비축용 173
87.8%
대부중 24
 
12.2%

법정동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
만수동
46 
고잔동
29 
구월동
26 
수산동
25 
장수동
18 
Other values (6)
53 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
만수동 46
23.4%
고잔동 29
14.7%
구월동 26
13.2%
수산동 25
12.7%
장수동 18
 
9.1%
간석동 17
 
8.6%
운연동 15
 
7.6%
남촌동 14
 
7.1%
논현동 4
 
2.0%
서창동 2
 
1.0%

Length

2024-01-28T18:07:16.987339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
만수동 46
23.4%
고잔동 29
14.7%
구월동 26
13.2%
수산동 25
12.7%
장수동 18
 
9.1%
간석동 17
 
8.6%
운연동 15
 
7.6%
남촌동 14
 
7.1%
논현동 4
 
2.0%
서창동 2
 
1.0%

소재지
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-28T18:07:17.309435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.568528
Min length16

Characters and Unicode

Total characters3855
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 구월동 301-2
2nd row인천광역시 남동구 구월동 349-472
3rd row인천광역시 남동구 구월동 349-546
4th row인천광역시 남동구 구월동 349-625
5th row인천광역시 남동구 구월동 349-717
ValueCountFrequency (%)
인천광역시 197
24.8%
남동구 197
24.8%
만수동 46
 
5.8%
고잔동 29
 
3.7%
구월동 26
 
3.3%
수산동 25
 
3.2%
장수동 18
 
2.3%
간석동 17
 
2.1%
운연동 15
 
1.9%
남촌동 14
 
1.8%
Other values (200) 209
26.4%
2024-01-28T18:07:17.748616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
17.3%
동 394
 
10.2%
구 223
 
5.8%
남 211
 
5.5%
인 197
 
5.1%
광 197
 
5.1%
역 197
 
5.1%
시 197
 
5.1%
천 197
 
5.1%
1 187
 
4.9%
Other values (28) 1187
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2172
56.3%
Decimal Number 836
 
21.7%
Space Separator 668
 
17.3%
Dash Punctuation 179
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 394
18.1%
구 223
10.3%
남 211
9.7%
인 197
9.1%
광 197
9.1%
역 197
9.1%
시 197
9.1%
천 197
9.1%
수 89
 
4.1%
만 46
 
2.1%
Other values (16) 224
10.3%
Decimal Number
ValueCountFrequency (%)
1 187
22.4%
3 111
13.3%
2 99
11.8%
5 73
 
8.7%
4 69
 
8.3%
6 69
 
8.3%
9 65
 
7.8%
8 57
 
6.8%
0 53
 
6.3%
7 53
 
6.3%
Space Separator
ValueCountFrequency (%)
668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2172
56.3%
Common 1683
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 394
18.1%
구 223
10.3%
남 211
9.7%
인 197
9.1%
광 197
9.1%
역 197
9.1%
시 197
9.1%
천 197
9.1%
수 89
 
4.1%
만 46
 
2.1%
Other values (16) 224
10.3%
Common
ValueCountFrequency (%)
668
39.7%
1 187
 
11.1%
- 179
 
10.6%
3 111
 
6.6%
2 99
 
5.9%
5 73
 
4.3%
4 69
 
4.1%
6 69
 
4.1%
9 65
 
3.9%
8 57
 
3.4%
Other values (2) 106
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2172
56.3%
ASCII 1683
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
668
39.7%
1 187
 
11.1%
- 179
 
10.6%
3 111
 
6.6%
2 99
 
5.9%
5 73
 
4.3%
4 69
 
4.1%
6 69
 
4.1%
9 65
 
3.9%
8 57
 
3.4%
Other values (2) 106
 
6.3%
Hangul
ValueCountFrequency (%)
동 394
18.1%
구 223
10.3%
남 211
9.7%
인 197
9.1%
광 197
9.1%
역 197
9.1%
시 197
9.1%
천 197
9.1%
수 89
 
4.1%
만 46
 
2.1%
Other values (16) 224
10.3%

지목
Categorical

Distinct9
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
대
61 
전
58 
답
27 
잡종지
19 
도로
13 
Other values (4)
19 

Length

Max length4
Median length1
Mean length1.3959391
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 61
31.0%
전 58
29.4%
답 27
13.7%
잡종지 19
 
9.6%
도로 13
 
6.6%
임야 10
 
5.1%
묘지 4
 
2.0%
공장용지 3
 
1.5%
주차장 2
 
1.0%

Length

2024-01-28T18:07:17.869341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:07:17.970378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 61
31.0%
전 58
29.4%
답 27
13.7%
잡종지 19
 
9.6%
도로 13
 
6.6%
임야 10
 
5.1%
묘지 4
 
2.0%
공장용지 3
 
1.5%
주차장 2
 
1.0%

면적(제곱미터)
Real number (ℝ)

Distinct144
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.3436
Minimum1
Maximum13587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T18:07:18.079566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.694
Q113
median41
Q3110.27
95-th percentile1352.078
Maximum13587
Range13586
Interquartile range (IQR)97.27

Descriptive statistics

Standard deviation1739.5503
Coefficient of variation (CV)3.8886223
Kurtosis34.487249
Mean447.3436
Median Absolute Deviation (MAD)33
Skewness5.6690129
Sum88126.69
Variance3026035.3
MonotonicityNot monotonic
2024-01-28T18:07:18.195993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 6
 
3.0%
6.0 5
 
2.5%
3.0 5
 
2.5%
4.0 4
 
2.0%
5.0 4
 
2.0%
28.0 4
 
2.0%
41.0 3
 
1.5%
11.0 3
 
1.5%
13.0 3
 
1.5%
35.0 3
 
1.5%
Other values (134) 157
79.7%
ValueCountFrequency (%)
1.0 6
3.0%
1.48 1
 
0.5%
1.58 1
 
0.5%
2.0 1
 
0.5%
2.67 1
 
0.5%
2.7 1
 
0.5%
3.0 5
2.5%
3.94 1
 
0.5%
4.0 4
2.0%
5.0 4
2.0%
ValueCountFrequency (%)
13587.0 1
0.5%
12724.0 1
0.5%
9919.0 1
0.5%
7172.0 1
0.5%
6125.0 1
0.5%
5851.0 1
0.5%
5157.0 1
0.5%
4661.0 1
0.5%
2218.0 1
0.5%
1596.39 1
0.5%

Interactions

2024-01-28T18:07:16.047951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:07:15.894135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:07:16.124197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:07:15.971429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:07:18.271842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소유구분용도구분법정동지목면적(제곱미터)
연번1.0000.9960.6900.8370.4970.158
소유구분0.9961.0000.0000.4430.2640.000
용도구분0.6900.0001.0000.2110.1450.000
법정동0.8370.4430.2111.0000.5600.000
지목0.4970.2640.1450.5601.0000.552
면적(제곱미터)0.1580.0000.0000.0000.5521.000
2024-01-28T18:07:18.353064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도구분법정동소유구분지목
용도구분1.0000.1970.0000.141
법정동0.1971.0000.4150.292
소유구분0.0000.4151.0000.258
지목0.1410.2920.2581.000
2024-01-28T18:07:18.424887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)소유구분용도구분법정동지목
연번1.0000.0030.9270.5360.5510.250
면적(제곱미터)0.0031.0000.0000.0000.0000.330
소유구분0.9270.0001.0000.0000.4150.258
용도구분0.5360.0000.0001.0000.1970.141
법정동0.5510.0000.4150.1971.0000.292
지목0.2500.3300.2580.1410.2921.000

Missing values

2024-01-28T18:07:16.221190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:07:16.307122image/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

연번소유구분용도구분법정동소재지지목면적(제곱미터)
01시유지비축용구월동인천광역시 남동구 구월동 301-2전674.0
12시유지비축용구월동인천광역시 남동구 구월동 349-472대6.0
23시유지비축용구월동인천광역시 남동구 구월동 349-546대1.0
34시유지비축용구월동인천광역시 남동구 구월동 349-625대47.0
45시유지비축용구월동인천광역시 남동구 구월동 349-717대1.0
56시유지비축용구월동인천광역시 남동구 구월동 349-756대5.0
67시유지비축용구월동인천광역시 남동구 구월동 349-821대127.0
78시유지비축용구월동인천광역시 남동구 구월동 349-823대80.0
89시유지비축용구월동인천광역시 남동구 구월동 349-954대5.0
910시유지비축용구월동인천광역시 남동구 구월동 349-966대36.0
연번소유구분용도구분법정동소재지지목면적(제곱미터)
187188구유지비축용고잔동인천광역시 남동구 고잔동 761-21도로469.3
188189구유지비축용고잔동인천광역시 남동구 고잔동 761-22잡종지380.5
189190구유지대부중만수동인천광역시 남동구 만수동 71-164전24.0
190191구유지대부중장수동인천광역시 남동구 장수동 621-4답13.32
191192구유지대부중서창동인천광역시 남동구 서창동 275-11전3.94
192193구유지대부중남촌동인천광역시 남동구 남촌동 329-8대55.0
193194구유지대부중고잔동인천광역시 남동구 고잔동 742-15임야187.8
194195구유지대부중고잔동인천광역시 남동구 고잔동 742-16임야10.7
195196구유지대부중고잔동인천광역시 남동구 고잔동 742-17임야117.2
196197구유지대부중고잔동인천광역시 남동구 고잔동 761-23잡종지868.4