Overview

Dataset statistics

Number of variables5
Number of observations791
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory43.2 B

Variable types

Numeric3
Categorical1
Text1

Dataset

Description부산광역시남구_국공유재산현황_20210526
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3080532

Alerts

면적(제곱미터) is highly overall correlated with 담당부서명High correlation
담당부서명 is highly overall correlated with 면적(제곱미터)High correlation
면적(제곱미터) is highly skewed (γ1 = 24.90834111)Skewed
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:48:56.788583
Analysis finished2023-12-10 16:49:00.423074
Duration3.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct791
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396
Minimum1
Maximum791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T01:49:00.574158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.5
Q1198.5
median396
Q3593.5
95-th percentile751.5
Maximum791
Range790
Interquartile range (IQR)395

Descriptive statistics

Standard deviation228.48632
Coefficient of variation (CV)0.57698567
Kurtosis-1.2
Mean396
Median Absolute Deviation (MAD)198
Skewness0
Sum313236
Variance52206
MonotonicityStrictly increasing
2023-12-11T01:49:00.916941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
521 1
 
0.1%
523 1
 
0.1%
524 1
 
0.1%
525 1
 
0.1%
526 1
 
0.1%
527 1
 
0.1%
528 1
 
0.1%
529 1
 
0.1%
530 1
 
0.1%
Other values (781) 781
98.7%
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 (%)
791 1
0.1%
790 1
0.1%
789 1
0.1%
788 1
0.1%
787 1
0.1%
786 1
0.1%
785 1
0.1%
784 1
0.1%
783 1
0.1%
782 1
0.1%

담당부서명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
재무담당관
440 
건축과
349 
미래성장담당관
 
1
주민복지과
 
1

Length

Max length7
Median length5
Mean length4.1201011
Min length3

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row건축과
2nd row건축과
3rd row건축과
4th row재무담당관
5th row재무담당관

Common Values

ValueCountFrequency (%)
재무담당관 440
55.6%
건축과 349
44.1%
미래성장담당관 1
 
0.1%
주민복지과 1
 
0.1%

Length

2023-12-11T01:49:01.204921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:49:01.415682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재무담당관 440
55.6%
건축과 349
44.1%
미래성장담당관 1
 
0.1%
주민복지과 1
 
0.1%

소재지
Text

UNIQUE 

Distinct791
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-11T01:49:02.044942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length21.860936
Min length19

Characters and Unicode

Total characters17292
Distinct characters39
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

Unique791 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 대연동 219-36번지
2nd row부산광역시 남구 대연동 219-41번지
3rd row부산광역시 남구 대연동 219-45번지
4th row부산광역시 남구 대연동 225-3번지
5th row부산광역시 남구 대연동 235-1번지
ValueCountFrequency (%)
부산광역시 791
24.9%
남구 791
24.9%
문현동 495
15.6%
감만동 121
 
3.8%
대연동 113
 
3.6%
우암동 53
 
1.7%
용당동 5
 
0.2%
용호동 4
 
0.1%
잔여지 2
 
0.1%
산 2
 
0.1%
Other values (793) 794
25.0%
2023-12-11T01:49:02.933000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3166
18.3%
산 793
 
4.6%
지 793
 
4.6%
부 791
 
4.6%
번 791
 
4.6%
광 791
 
4.6%
역 791
 
4.6%
시 791
 
4.6%
남 791
 
4.6%
구 791
 
4.6%
Other values (29) 7003
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9508
55.0%
Decimal Number 3836
22.2%
Space Separator 3166
 
18.3%
Dash Punctuation 782
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 793
8.3%
지 793
8.3%
부 791
8.3%
번 791
8.3%
광 791
8.3%
역 791
8.3%
시 791
8.3%
남 791
8.3%
구 791
8.3%
동 791
8.3%
Other values (17) 1594
16.8%
Decimal Number
ValueCountFrequency (%)
1 787
20.5%
2 457
11.9%
3 457
11.9%
5 413
10.8%
6 370
9.6%
8 309
 
8.1%
4 298
 
7.8%
9 269
 
7.0%
7 254
 
6.6%
0 222
 
5.8%
Space Separator
ValueCountFrequency (%)
3166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 782
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9508
55.0%
Common 7784
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 793
8.3%
지 793
8.3%
부 791
8.3%
번 791
8.3%
광 791
8.3%
역 791
8.3%
시 791
8.3%
남 791
8.3%
구 791
8.3%
동 791
8.3%
Other values (17) 1594
16.8%
Common
ValueCountFrequency (%)
3166
40.7%
1 787
 
10.1%
- 782
 
10.0%
2 457
 
5.9%
3 457
 
5.9%
5 413
 
5.3%
6 370
 
4.8%
8 309
 
4.0%
4 298
 
3.8%
9 269
 
3.5%
Other values (2) 476
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9508
55.0%
ASCII 7784
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3166
40.7%
1 787
 
10.1%
- 782
 
10.0%
2 457
 
5.9%
3 457
 
5.9%
5 413
 
5.3%
6 370
 
4.8%
8 309
 
4.0%
4 298
 
3.8%
9 269
 
3.5%
Other values (2) 476
 
6.1%
Hangul
ValueCountFrequency (%)
산 793
8.3%
지 793
8.3%
부 791
8.3%
번 791
8.3%
광 791
8.3%
역 791
8.3%
시 791
8.3%
남 791
8.3%
구 791
8.3%
동 791
8.3%
Other values (17) 1594
16.8%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct140
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.54531
Minimum1
Maximum9017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T01:49:03.192535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median15
Q339
95-th percentile122
Maximum9017
Range9016
Interquartile range (IQR)35

Descriptive statistics

Standard deviation333.99346
Coefficient of variation (CV)7.0247405
Kurtosis662.23762
Mean47.54531
Median Absolute Deviation (MAD)12
Skewness24.908341
Sum37608.34
Variance111551.63
MonotonicityNot monotonic
2023-12-11T01:49:03.529157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 77
 
9.7%
3.0 59
 
7.5%
7.0 50
 
6.3%
2.0 39
 
4.9%
10.0 26
 
3.3%
20.0 24
 
3.0%
6.0 24
 
3.0%
4.0 23
 
2.9%
17.0 21
 
2.7%
23.0 19
 
2.4%
Other values (130) 429
54.2%
ValueCountFrequency (%)
1.0 77
9.7%
1.9 1
 
0.1%
2.0 39
4.9%
3.0 59
7.5%
4.0 23
 
2.9%
5.0 14
 
1.8%
5.8 1
 
0.1%
6.0 24
 
3.0%
7.0 50
6.3%
8.0 8
 
1.0%
ValueCountFrequency (%)
9017.0 1
0.1%
2083.0 1
0.1%
832.0 1
0.1%
676.0 1
0.1%
538.0 1
0.1%
530.0 1
0.1%
507.0 1
0.1%
412.0 1
0.1%
369.0 1
0.1%
348.0 1
0.1%

공시지가(원_제곱미터)
Real number (ℝ)

Distinct453
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean758706.95
Minimum105400
Maximum2622000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-11T01:49:03.812017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105400
5-th percentile148500
Q1525700
median727500
Q3979250
95-th percentile1457500
Maximum2622000
Range2516600
Interquartile range (IQR)453550

Descriptive statistics

Standard deviation415541.36
Coefficient of variation (CV)0.54769679
Kurtosis1.245665
Mean758706.95
Median Absolute Deviation (MAD)242600
Skewness0.72796168
Sum6.001372 × 108
Variance1.7267463 × 1011
MonotonicityNot monotonic
2023-12-11T01:49:04.120102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148500 72
 
9.1%
553600 9
 
1.1%
409200 9
 
1.1%
232600 9
 
1.1%
299600 8
 
1.0%
336600 7
 
0.9%
1314000 7
 
0.9%
544500 7
 
0.9%
695100 7
 
0.9%
149800 7
 
0.9%
Other values (443) 649
82.0%
ValueCountFrequency (%)
105400 1
 
0.1%
138600 1
 
0.1%
148500 72
9.1%
149800 7
 
0.9%
151800 1
 
0.1%
170600 2
 
0.3%
173500 1
 
0.1%
181500 1
 
0.1%
185400 2
 
0.3%
189700 1
 
0.1%
ValueCountFrequency (%)
2622000 1
0.1%
2354000 1
0.1%
2280000 2
0.3%
2201000 2
0.3%
2189000 1
0.1%
2180000 1
0.1%
2140000 1
0.1%
2118000 1
0.1%
2062000 1
0.1%
2059000 1
0.1%

Interactions

2023-12-11T01:48:59.236083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:57.347581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:58.056169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:59.597115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:57.547530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:58.307889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:59.806469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:57.796472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:58.621040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:49:04.273288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번담당부서명면적(제곱미터)공시지가(원_제곱미터)
순번1.0000.5610.0000.636
담당부서명0.5611.0000.6760.211
면적(제곱미터)0.0000.6761.0000.176
공시지가(원_제곱미터)0.6360.2110.1761.000
2023-12-11T01:49:04.429978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면적(제곱미터)공시지가(원_제곱미터)담당부서명
순번1.0000.074-0.3170.369
면적(제곱미터)0.0741.000-0.1670.706
공시지가(원_제곱미터)-0.317-0.1671.0000.128
담당부서명0.3690.7060.1281.000

Missing values

2023-12-11T01:49:00.085420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:49:00.346164image/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

순번담당부서명소재지면적(제곱미터)공시지가(원_제곱미터)
01건축과부산광역시 남구 대연동 219-36번지21.0581700
12건축과부산광역시 남구 대연동 219-41번지1.0212800
23건축과부산광역시 남구 대연동 219-45번지6.0551400
34재무담당관부산광역시 남구 대연동 225-3번지2.0687700
45재무담당관부산광역시 남구 대연동 235-1번지50.0389400
56재무담당관부산광역시 남구 대연동 245-45번지2.0774300
67재무담당관부산광역시 남구 대연동 245-98번지1.0774300
78재무담당관부산광역시 남구 대연동 245-222번지18.0316000
89재무담당관부산광역시 남구 대연동 282-4번지28.61340000
910재무담당관부산광역시 남구 대연동 317-70번지10.0376200
순번담당부서명소재지면적(제곱미터)공시지가(원_제곱미터)
781782재무담당관부산광역시 남구 감만동 106-23번지63.0955500
782783재무담당관부산광역시 남구 감만동 106-24번지62.0955500
783784재무담당관부산광역시 남구 감만동 168-43번지77.0649300
784785재무담당관부산광역시 남구 감만동 168-60번지69.0705000
785786재무담당관부산광역시 남구 감만동 168-94번지21.0649300
786787재무담당관부산광역시 남구 감만동 168-121번지39.0727500
787788재무담당관부산광역시 남구 감만동 589-5번지13.01125000
788789건축과부산광역시 남구 감만동 589-14번지14.0551000
789790건축과부산광역시 남구 감만동 590-3번지7.0232600
790791건축과부산광역시 남구 감만동 590-11번지10.0683800