Overview

Dataset statistics

Number of variables6
Number of observations2807
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.9 KiB
Average record size in memory51.0 B

Variable types

Numeric3
Categorical2
Text1

Dataset

Description부산광역시 동구 공유재산현황 데이터를 제공합니다. (토지 중 일반재산, 소재지, 지목, 면적, 2023년 공시지가)
Author부산광역시 동구
URLhttps://www.data.go.kr/data/15092496/fileData.do

Alerts

담당부서명 has constant value ""Constant
실지목코드 has constant value ""Constant
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:55:17.379104
Analysis finished2023-12-11 22:55:18.769737
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2807
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1424.8821
Minimum1
Maximum2856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-12T07:55:18.838488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile144.3
Q1717.5
median1422
Q32131.5
95-th percentile2713.7
Maximum2856
Range2855
Interquartile range (IQR)1414

Descriptive statistics

Standard deviation822.18717
Coefficient of variation (CV)0.5770212
Kurtosis-1.1881377
Mean1424.8821
Median Absolute Deviation (MAD)707
Skewness0.0090282727
Sum3999644
Variance675991.75
MonotonicityStrictly increasing
2023-12-12T07:55:18.977054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1898 1
 
< 0.1%
1890 1
 
< 0.1%
1891 1
 
< 0.1%
1892 1
 
< 0.1%
1893 1
 
< 0.1%
1894 1
 
< 0.1%
1895 1
 
< 0.1%
1896 1
 
< 0.1%
1897 1
 
< 0.1%
Other values (2797) 2797
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2856 1
< 0.1%
2855 1
< 0.1%
2854 1
< 0.1%
2853 1
< 0.1%
2852 1
< 0.1%
2851 1
< 0.1%
2850 1
< 0.1%
2849 1
< 0.1%
2848 1
< 0.1%
2847 1
< 0.1%

담당부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
재무과
2807 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 재무과
2nd row 재무과
3rd row 재무과
4th row 재무과
5th row 재무과

Common Values

ValueCountFrequency (%)
재무과 2807
100.0%

Length

2023-12-12T07:55:19.122952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:19.508244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재무과 2807
100.0%

소재지
Text

UNIQUE 

Distinct2807
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
2023-12-12T07:55:19.896981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length20.22622
Min length17

Characters and Unicode

Total characters56775
Distinct characters27
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

Unique2807 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 초량동 122-38
2nd row부산광역시 동구 초량동 134-39
3rd row부산광역시 동구 초량동 148-5
4th row부산광역시 동구 초량동 248-8
5th row부산광역시 동구 초량동 548-3
ValueCountFrequency (%)
부산광역시 2807
25.0%
동구 2807
25.0%
수정동 1075
 
9.6%
초량동 626
 
5.6%
범일동 619
 
5.5%
좌천동 487
 
4.3%
972-1 2
 
< 0.1%
776-15 2
 
< 0.1%
692-21 2
 
< 0.1%
973-9 2
 
< 0.1%
Other values (2781) 2800
24.9%
2023-12-12T07:55:20.551288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11234
19.8%
동 5614
 
9.9%
산 2808
 
4.9%
부 2807
 
4.9%
광 2807
 
4.9%
역 2807
 
4.9%
시 2807
 
4.9%
구 2807
 
4.9%
- 2785
 
4.9%
1 2568
 
4.5%
Other values (17) 17731
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28071
49.4%
Decimal Number 14685
25.9%
Space Separator 11234
19.8%
Dash Punctuation 2785
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5614
20.0%
산 2808
10.0%
부 2807
10.0%
광 2807
10.0%
역 2807
10.0%
시 2807
10.0%
구 2807
10.0%
수 1075
 
3.8%
정 1075
 
3.8%
량 626
 
2.2%
Other values (5) 2838
10.1%
Decimal Number
ValueCountFrequency (%)
1 2568
17.5%
4 1799
12.3%
9 1564
10.7%
7 1343
9.1%
2 1297
8.8%
8 1296
8.8%
3 1265
8.6%
6 1254
8.5%
5 1229
8.4%
0 1070
7.3%
Space Separator
ValueCountFrequency (%)
11234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2785
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28704
50.6%
Hangul 28071
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5614
20.0%
산 2808
10.0%
부 2807
10.0%
광 2807
10.0%
역 2807
10.0%
시 2807
10.0%
구 2807
10.0%
수 1075
 
3.8%
정 1075
 
3.8%
량 626
 
2.2%
Other values (5) 2838
10.1%
Common
ValueCountFrequency (%)
11234
39.1%
- 2785
 
9.7%
1 2568
 
8.9%
4 1799
 
6.3%
9 1564
 
5.4%
7 1343
 
4.7%
2 1297
 
4.5%
8 1296
 
4.5%
3 1265
 
4.4%
6 1254
 
4.4%
Other values (2) 2299
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28704
50.6%
Hangul 28071
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11234
39.1%
- 2785
 
9.7%
1 2568
 
8.9%
4 1799
 
6.3%
9 1564
 
5.4%
7 1343
 
4.7%
2 1297
 
4.5%
8 1296
 
4.5%
3 1265
 
4.4%
6 1254
 
4.4%
Other values (2) 2299
 
8.0%
Hangul
ValueCountFrequency (%)
동 5614
20.0%
산 2808
10.0%
부 2807
10.0%
광 2807
10.0%
역 2807
10.0%
시 2807
10.0%
구 2807
10.0%
수 1075
 
3.8%
정 1075
 
3.8%
량 626
 
2.2%
Other values (5) 2838
10.1%

실지목코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
대
2807 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 2807
100.0%

Length

2023-12-12T07:55:20.747845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:20.863420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 2807
100.0%

실면적(제곱미터)
Real number (ℝ)

Distinct348
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.96342
Minimum0.1
Maximum1786.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-12T07:55:20.995751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1
Q13
median9
Q323
95-th percentile79
Maximum1786.1
Range1786
Interquartile range (IQR)20

Descriptive statistics

Standard deviation68.126174
Coefficient of variation (CV)2.8429237
Kurtosis298.20052
Mean23.96342
Median Absolute Deviation (MAD)7
Skewness14.379042
Sum67265.32
Variance4641.1756
MonotonicityNot monotonic
2023-12-12T07:55:21.200399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 287
 
10.2%
2.0 226
 
8.1%
3.0 201
 
7.2%
7.0 151
 
5.4%
4.0 124
 
4.4%
5.0 103
 
3.7%
6.0 94
 
3.3%
10.0 90
 
3.2%
9.0 77
 
2.7%
8.0 75
 
2.7%
Other values (338) 1379
49.1%
ValueCountFrequency (%)
0.1 3
 
0.1%
0.2 1
 
< 0.1%
0.21 1
 
< 0.1%
0.3 4
 
0.1%
0.4 2
 
0.1%
0.5 2
 
0.1%
0.7 2
 
0.1%
0.8 1
 
< 0.1%
0.9 3
 
0.1%
1.0 287
10.2%
ValueCountFrequency (%)
1786.1 1
< 0.1%
1622.8 1
< 0.1%
831.4 1
< 0.1%
807.0 1
< 0.1%
791.1 1
< 0.1%
680.0 1
< 0.1%
678.0 1
< 0.1%
625.1 1
< 0.1%
555.8 1
< 0.1%
496.0 1
< 0.1%

공시지가(2023년)
Real number (ℝ)

Distinct1392
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean683725.94
Minimum18700
Maximum6759000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-12T07:55:21.409767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18700
5-th percentile214500
Q1548550
median641600
Q3798850
95-th percentile1209000
Maximum6759000
Range6740300
Interquartile range (IQR)250300

Descriptive statistics

Standard deviation356125.46
Coefficient of variation (CV)0.52085996
Kurtosis42.294499
Mean683725.94
Median Absolute Deviation (MAD)116000
Skewness3.9580614
Sum1.9192187 × 109
Variance1.2682534 × 1011
MonotonicityNot monotonic
2023-12-12T07:55:21.592726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
588000 32
 
1.1%
630900 22
 
0.8%
231900 16
 
0.6%
584700 16
 
0.6%
525600 16
 
0.6%
551200 16
 
0.6%
599900 16
 
0.6%
494400 15
 
0.5%
511800 14
 
0.5%
680800 13
 
0.5%
Other values (1382) 2631
93.7%
ValueCountFrequency (%)
18700 1
 
< 0.1%
25900 1
 
< 0.1%
108300 6
0.2%
146500 1
 
< 0.1%
150400 1
 
< 0.1%
154600 1
 
< 0.1%
161300 1
 
< 0.1%
163100 3
0.1%
166700 2
 
0.1%
168500 1
 
< 0.1%
ValueCountFrequency (%)
6759000 1
< 0.1%
3852000 1
< 0.1%
3539000 1
< 0.1%
3492000 1
< 0.1%
3410000 1
< 0.1%
3337000 1
< 0.1%
3304000 2
0.1%
3102000 1
< 0.1%
3017000 1
< 0.1%
2760000 1
< 0.1%

Interactions

2023-12-12T07:55:18.180045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:17.603441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:17.893932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:18.269396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:17.685024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:17.979331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:18.376219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:17.798564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:18.086783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:55:21.685343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번실면적(제곱미터)공시지가(2023년)
순번1.0000.0420.237
실면적(제곱미터)0.0421.0000.000
공시지가(2023년)0.2370.0001.000
2023-12-12T07:55:21.793767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번실면적(제곱미터)공시지가(2023년)
순번1.0000.091-0.273
실면적(제곱미터)0.0911.000-0.035
공시지가(2023년)-0.273-0.0351.000

Missing values

2023-12-12T07:55:18.528877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:55:18.698481image/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

순번담당부서명소재지실지목코드실면적(제곱미터)공시지가(2023년)
01재무과부산광역시 동구 초량동 122-38대5.01071000
12재무과부산광역시 동구 초량동 134-39대26.51356000
23재무과부산광역시 동구 초량동 148-5대0.91499000
34재무과부산광역시 동구 초량동 248-8대2.22638000
45재무과부산광역시 동구 초량동 548-3대3.03492000
56재무과부산광역시 동구 초량동 591-2대11.23852000
67재무과부산광역시 동구 초량동 591-16대5.52760000
78재무과부산광역시 동구 초량동 658-18대7.01050000
89재무과부산광역시 동구 초량동 658-21대2.01941000
910재무과부산광역시 동구 초량동 662대76.01050000
순번담당부서명소재지실지목코드실면적(제곱미터)공시지가(2023년)
27972847재무과부산광역시 동구 범일동 1622-10대10.0807800
27982848재무과부산광역시 동구 범일동 1622-18대83.0832500
27992849재무과부산광역시 동구 범일동 1622-28대39.01850000
28002850재무과부산광역시 동구 범일동 1622-31대19.01850000
28012851재무과부산광역시 동구 범일동 1622-33대24.02133000
28022852재무과부산광역시 동구 범일동 1622-35대3.01477000
28032853재무과부산광역시 동구 범일동 1622-36대7.01477000
28042854재무과부산광역시 동구 범일동 1622-41대11.01536000
28052855재무과부산광역시 동구 범일동 1623-22대8.0276200
28062856재무과부산광역시 동구 범일동 1635-1대5.0935300