Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)0.1%
Total size in memory664.1 KiB
Average record size in memory68.0 B

Variable types

Categorical4
Text1
Numeric2

Dataset

Description경상남도_산청군_일반건축물시가표준액 현황(시군명, 물건지 주소, 시가표준 금액, 연면적, 결정 일자) 자료 입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15080492

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
Dataset has 9 (0.1%) duplicate rowsDuplicates
시가표준액 is highly overall correlated with 연면적High correlation
연면적 is highly overall correlated with 시가표준액High correlation
시가표준액 is highly skewed (γ1 = 62.46136041)Skewed
연면적 is highly skewed (γ1 = 45.04271538)Skewed

Reproduction

Analysis started2023-12-11 00:18:17.340446
Analysis finished2023-12-11 00:18:18.454775
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상남도
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 10000
100.0%

Length

2023-12-11T09:18:18.519668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:18.610079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 10000
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
산청군
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산청군 10000
100.0%

Length

2023-12-11T09:18:18.728087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:18.822171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산청군 10000
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
48860
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48860
2nd row48860
3rd row48860
4th row48860
5th row48860

Common Values

ValueCountFrequency (%)
48860 10000
100.0%

Length

2023-12-11T09:18:18.914231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:19.007849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48860 10000
100.0%

물건지
Text

Distinct7727
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:18:19.277656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length28.9996
Min length19

Characters and Unicode

Total characters289996
Distinct characters176
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

Unique5859 ?
Unique (%)58.6%

Sample

1st row경상남도 산청군 삼장면 대포리 483 1동 2호
2nd row경상남도 산청군 시천면 외공리 408-1 1동 2호
3rd row경상남도 산청군 삼장면 대하리 201-23 1동 1호
4th row경상남도 산청군 단성면 남사리 415-13 15동 101호
5th row경상남도 산청군 생초면 계남리 736 1동 1호
ValueCountFrequency (%)
경상남도 10000
 
14.9%
산청군 10000
 
14.9%
1동 5884
 
8.8%
1호 2446
 
3.6%
0001동 2372
 
3.5%
단성면 1300
 
1.9%
101호 1286
 
1.9%
시천면 1189
 
1.8%
산청읍 1080
 
1.6%
2호 1051
 
1.6%
Other values (3961) 30634
45.6%
2023-12-11T09:18:19.744787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59869
20.6%
1 24888
 
8.6%
0 19809
 
6.8%
산 12412
 
4.3%
청 11500
 
4.0%
남 10392
 
3.6%
경 10366
 
3.6%
도 10139
 
3.5%
상 10107
 
3.5%
호 10063
 
3.5%
Other values (166) 110451
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145712
50.2%
Decimal Number 78986
27.2%
Space Separator 59869
20.6%
Dash Punctuation 5429
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 12412
 
8.5%
청 11500
 
7.9%
남 10392
 
7.1%
경 10366
 
7.1%
도 10139
 
7.0%
상 10107
 
6.9%
호 10063
 
6.9%
군 10000
 
6.9%
동 9942
 
6.8%
리 7674
 
5.3%
Other values (154) 43117
29.6%
Decimal Number
ValueCountFrequency (%)
1 24888
31.5%
0 19809
25.1%
2 8620
 
10.9%
3 5312
 
6.7%
4 4122
 
5.2%
5 3882
 
4.9%
6 3702
 
4.7%
7 2958
 
3.7%
9 2853
 
3.6%
8 2840
 
3.6%
Space Separator
ValueCountFrequency (%)
59869
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5429
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145712
50.2%
Common 144284
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 12412
 
8.5%
청 11500
 
7.9%
남 10392
 
7.1%
경 10366
 
7.1%
도 10139
 
7.0%
상 10107
 
6.9%
호 10063
 
6.9%
군 10000
 
6.9%
동 9942
 
6.8%
리 7674
 
5.3%
Other values (154) 43117
29.6%
Common
ValueCountFrequency (%)
59869
41.5%
1 24888
17.2%
0 19809
 
13.7%
2 8620
 
6.0%
- 5429
 
3.8%
3 5312
 
3.7%
4 4122
 
2.9%
5 3882
 
2.7%
6 3702
 
2.6%
7 2958
 
2.1%
Other values (2) 5693
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145712
50.2%
ASCII 144284
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59869
41.5%
1 24888
17.2%
0 19809
 
13.7%
2 8620
 
6.0%
- 5429
 
3.8%
3 5312
 
3.7%
4 4122
 
2.9%
5 3882
 
2.7%
6 3702
 
2.6%
7 2958
 
2.1%
Other values (2) 5693
 
3.9%
Hangul
ValueCountFrequency (%)
산 12412
 
8.5%
청 11500
 
7.9%
남 10392
 
7.1%
경 10366
 
7.1%
도 10139
 
7.0%
상 10107
 
6.9%
호 10063
 
6.9%
군 10000
 
6.9%
동 9942
 
6.8%
리 7674
 
5.3%
Other values (154) 43117
29.6%

시가표준액
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct8437
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34138408
Minimum29700
Maximum1.4040133 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:19.928362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29700
5-th percentile316641.5
Q11657250
median7358830
Q330184740
95-th percentile1.373435 × 108
Maximum1.4040133 × 1010
Range1.4040103 × 1010
Interquartile range (IQR)28527490

Descriptive statistics

Standard deviation1.6547145 × 108
Coefficient of variation (CV)4.8470758
Kurtosis5154.9012
Mean34138408
Median Absolute Deviation (MAD)6714745
Skewness62.46136
Sum3.4138408 × 1011
Variance2.7380801 × 1016
MonotonicityNot monotonic
2023-12-11T09:18:20.081245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1872000 14
 
0.1%
792000 12
 
0.1%
384000 12
 
0.1%
648000 11
 
0.1%
720000 11
 
0.1%
1980000 10
 
0.1%
576000 10
 
0.1%
1020000 10
 
0.1%
252000 9
 
0.1%
1620000 9
 
0.1%
Other values (8427) 9892
98.9%
ValueCountFrequency (%)
29700 1
< 0.1%
35200 1
< 0.1%
45000 2
< 0.1%
53640 1
< 0.1%
58240 1
< 0.1%
58320 1
< 0.1%
58800 2
< 0.1%
58880 1
< 0.1%
60000 1
< 0.1%
64000 1
< 0.1%
ValueCountFrequency (%)
14040132970 1
< 0.1%
2968376040 1
< 0.1%
2587923200 1
< 0.1%
1793947100 1
< 0.1%
1756291840 1
< 0.1%
1584705270 1
< 0.1%
1279452740 1
< 0.1%
1174311500 1
< 0.1%
1169262640 1
< 0.1%
1156413600 1
< 0.1%

연면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4203
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.91419
Minimum0.98
Maximum31515.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:20.221314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.98
5-th percentile11.1
Q134.695
median75.33
Q3150.525
95-th percentile412.877
Maximum31515.45
Range31514.47
Interquartile range (IQR)115.83

Descriptive statistics

Standard deviation423.51773
Coefficient of variation (CV)2.9634407
Kurtosis3086.6781
Mean142.91419
Median Absolute Deviation (MAD)48.775
Skewness45.042715
Sum1429141.9
Variance179367.26
MonotonicityNot monotonic
2023-12-11T09:18:20.369671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.0 259
 
2.6%
16.5 67
 
0.7%
10.0 66
 
0.7%
66.0 50
 
0.5%
72.0 49
 
0.5%
50.0 47
 
0.5%
96.0 47
 
0.5%
36.0 45
 
0.4%
33.0 44
 
0.4%
60.0 43
 
0.4%
Other values (4193) 9283
92.8%
ValueCountFrequency (%)
0.98 1
 
< 0.1%
1.0 4
< 0.1%
1.49 1
 
< 0.1%
1.5 2
< 0.1%
1.68 2
< 0.1%
1.8 2
< 0.1%
1.96 2
< 0.1%
2.0 4
< 0.1%
2.2 1
 
< 0.1%
2.25 2
< 0.1%
ValueCountFrequency (%)
31515.45 1
< 0.1%
9917.0 1
< 0.1%
9679.211 1
< 0.1%
7032.4 2
< 0.1%
5743.37 1
< 0.1%
4770.74 1
< 0.1%
4400.0 1
< 0.1%
3300.0 2
< 0.1%
2800.4 1
< 0.1%
2539.8 1
< 0.1%

기준일자
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20200601
2717 
20190601
2609 
20180601
2379 
20170601
2295 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20190601
2nd row20200601
3rd row20180601
4th row20200601
5th row20200601

Common Values

ValueCountFrequency (%)
20200601 2717
27.2%
20190601 2609
26.1%
20180601 2379
23.8%
20170601 2295
22.9%

Length

2023-12-11T09:18:20.505386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:20.587602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200601 2717
27.2%
20190601 2609
26.1%
20180601 2379
23.8%
20170601 2295
22.9%

Interactions

2023-12-11T09:18:17.959744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:17.773281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:18.074175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:17.866443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:18:20.652538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시가표준액연면적기준일자
시가표준액1.0000.7820.000
연면적0.7821.0000.000
기준일자0.0000.0001.000
2023-12-11T09:18:20.728733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시가표준액연면적기준일자
시가표준액1.0000.6000.000
연면적0.6001.0000.000
기준일자0.0000.0001.000

Missing values

2023-12-11T09:18:18.233165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:18:18.387041image/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

시도명시군구명자치단체코드물건지시가표준액연면적기준일자
43086경상남도산청군48860경상남도 산청군 삼장면 대포리 483 1동 2호313200018.020190601
56276경상남도산청군48860경상남도 산청군 시천면 외공리 408-1 1동 2호58955740148.1320200601
25581경상남도산청군48860경상남도 산청군 삼장면 대하리 201-23 1동 1호8567000164.7520180601
47844경상남도산청군48860경상남도 산청군 단성면 남사리 415-13 15동 101호77237550526.520200601
49126경상남도산청군48860경상남도 산청군 생초면 계남리 736 1동 1호476280031.520200601
15208경상남도산청군48860경상남도 산청군 지리산대로 1032 0002동 0101호3138960082.020180601
56054경상남도산청군48860경상남도 산청군 지리산대로 993-6 0001동 0001호225120033.620200601
12513경상남도산청군48860경상남도 산청군 생비량면 도리 769 1동 2호3564000132.020170601
43221경상남도산청군48860경상남도 산청군 원지강변로63번길 30-40 0001동 0001호113286040137.220190601
58086경상남도산청군48860경상남도 산청군 시천면 원리 799 2동 1호64467016.5320200601
시도명시군구명자치단체코드물건지시가표준액연면적기준일자
27134경상남도산청군48860경상남도 산청군 친환경로985번길 34-2 0001동 0001호129024046.0820180601
42185경상남도산청군48860경상남도 산청군 삼장면 홍계리 1266-9 1동 2호1322000132.220190601
37186경상남도산청군48860경상남도 산청군 산청읍 정곡리 755 1동 201호68127360497.2820190601
49552경상남도산청군48860경상남도 산청군 오부면 방곡리 807 1동 2호72380065.820200601
14234경상남도산청군48860경상남도 산청군 생비량면 도전리 11 3동 1호5065203.7820170601
55020경상남도산청군48860경상남도 산청군 단성면 사월리 390-7 1동 1호90860082.620200601
39828경상남도산청군48860경상남도 산청군 금서면 방곡리 789-1 1동 101호374400018.020190601
37521경상남도산청군48860경상남도 산청군 산청읍 내리 772-5 2동 7호2268008.420190601
19087경상남도산청군48860경상남도 산청군 오부면 방곡리 422 1동 1호576000060.020180601
11297경상남도산청군48860경상남도 산청군 반천로 137 0001동 0104호124200018.020170601

Duplicate rows

Most frequently occurring

시도명시군구명자치단체코드물건지시가표준액연면적기준일자# duplicates
0경상남도산청군48860경상남도 산청군 금서면 매촌리 995 1동 101호46366000194.0201706012
1경상남도산청군48860경상남도 산청군 금서면 신아리 130-7 1동 101호75627600121.98202006012
2경상남도산청군48860경상남도 산청군 금서면 신아리 130-7 1동 201호73060800117.84202006012
3경상남도산청군48860경상남도 산청군 산청읍 병정리 729 1동 101호57519000330.0201706012
4경상남도산청군48860경상남도 산청군 산청읍 산청리 192-13 1동 101호139660780197.54201706012
5경상남도산청군48860경상남도 산청군 삼장면 대포리 249-1 1동 1호909144082.8201906012
6경상남도산청군48860경상남도 산청군 삼장면 대하리 335-2 1동 1호450450077.0201906012
7경상남도산청군48860경상남도 산청군 석대로 294-29 0001동 0101호10098000198.0201806012
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