Overview

Dataset statistics

Number of variables11
Number of observations629
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.4 KiB
Average record size in memory90.2 B

Variable types

Numeric2
Categorical3
Text5
DateTime1

Dataset

Description부산광역시연제구_부동산중개업현황_20231006
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3043712

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 위도High correlation
시군구명 is highly imbalanced (97.8%)Imbalance
행정처분상태 is highly imbalanced (98.3%)Imbalance
중개업소구분 is highly imbalanced (80.8%)Imbalance
순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:17:13.196939
Analysis finished2023-12-10 17:17:16.101301
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315
Minimum1
Maximum629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T02:17:16.233286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.4
Q1158
median315
Q3472
95-th percentile597.6
Maximum629
Range628
Interquartile range (IQR)314

Descriptive statistics

Standard deviation181.72094
Coefficient of variation (CV)0.57689187
Kurtosis-1.2
Mean315
Median Absolute Deviation (MAD)157
Skewness0
Sum198135
Variance33022.5
MonotonicityStrictly increasing
2023-12-11T02:17:16.515326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
424 1
 
0.2%
417 1
 
0.2%
418 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
425 1
 
0.2%
Other values (619) 619
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
629 1
0.2%
628 1
0.2%
627 1
0.2%
626 1
0.2%
625 1
0.2%
624 1
0.2%
623 1
0.2%
622 1
0.2%
621 1
0.2%
620 1
0.2%

시군구명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
부산광역시 연제구
627 
부산광역시 중구
 
1
부산광역시 수영구
 
1

Length

Max length9
Median length9
Mean length8.9984102
Min length8

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row부산광역시 연제구
2nd row부산광역시 연제구
3rd row부산광역시 연제구
4th row부산광역시 연제구
5th row부산광역시 연제구

Common Values

ValueCountFrequency (%)
부산광역시 연제구 627
99.7%
부산광역시 중구 1
 
0.2%
부산광역시 수영구 1
 
0.2%

Length

2023-12-11T02:17:16.807838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:17:17.570462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 629
50.0%
연제구 627
49.8%
중구 1
 
0.1%
수영구 1
 
0.1%

등록번호
Text

UNIQUE 

Distinct629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T02:17:17.923847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length14.561208
Min length7

Characters and Unicode

Total characters9159
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique629 ?
Unique (%)100.0%

Sample

1st row가-13-1358
2nd row가-13-11
3rd row가-13-86
4th row가-13-83
5th row나-13-32
ValueCountFrequency (%)
가-13-1358 1
 
0.2%
26470-2021-00088 1
 
0.2%
26470-2021-00096 1
 
0.2%
26470-2021-00097 1
 
0.2%
26470-2021-00098 1
 
0.2%
26470-2021-00100 1
 
0.2%
26470-2021-00102 1
 
0.2%
26470-2021-00104 1
 
0.2%
26470-2021-00105 1
 
0.2%
26470-2021-00093 1
 
0.2%
Other values (619) 619
98.4%
2023-12-11T02:17:18.637561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2567
28.0%
2 1597
17.4%
- 1260
13.8%
1 771
 
8.4%
7 672
 
7.3%
6 651
 
7.1%
4 651
 
7.1%
3 361
 
3.9%
8 187
 
2.0%
9 162
 
1.8%
Other values (3) 280
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7774
84.9%
Dash Punctuation 1260
 
13.8%
Other Letter 125
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2567
33.0%
2 1597
20.5%
1 771
 
9.9%
7 672
 
8.6%
6 651
 
8.4%
4 651
 
8.4%
3 361
 
4.6%
8 187
 
2.4%
9 162
 
2.1%
5 155
 
2.0%
Other Letter
ValueCountFrequency (%)
가 124
99.2%
나 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9034
98.6%
Hangul 125
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2567
28.4%
2 1597
17.7%
- 1260
13.9%
1 771
 
8.5%
7 672
 
7.4%
6 651
 
7.2%
4 651
 
7.2%
3 361
 
4.0%
8 187
 
2.1%
9 162
 
1.8%
Hangul
ValueCountFrequency (%)
가 124
99.2%
나 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9034
98.6%
Hangul 125
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2567
28.4%
2 1597
17.7%
- 1260
13.9%
1 771
 
8.5%
7 672
 
7.4%
6 651
 
7.2%
4 651
 
7.2%
3 361
 
4.0%
8 187
 
2.1%
9 162
 
1.8%
Hangul
ValueCountFrequency (%)
가 124
99.2%
나 1
 
0.8%

행정처분상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
영업중
628 
휴업
 
1

Length

Max length3
Median length3
Mean length2.9984102
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 628
99.8%
휴업 1
 
0.2%

Length

2023-12-11T02:17:18.908641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:17:19.150335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 628
99.8%
휴업 1
 
0.2%

중개업소명
Text

Distinct578
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T02:17:19.498338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length11.484897
Min length7

Characters and Unicode

Total characters7224
Distinct characters352
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)84.9%

Sample

1st row우리동네부동산중개사무소
2nd row금성부동산중개사무소
3rd row경남부동산중개사무소
4th row대호부동산중개사무소
5th row경주부동산중개사무소
ValueCountFrequency (%)
사무소 10
 
1.5%
주식회사 5
 
0.8%
행운공인중개사사무소 4
 
0.6%
공인중개사사무소 4
 
0.6%
금탑공인중개사사무소 3
 
0.5%
한양공인중개사사무소 3
 
0.5%
베스트공인중개사사무소 3
 
0.5%
정공인중개사사무소 3
 
0.5%
하나공인중개사사무소 3
 
0.5%
대운공인중개사사무소 2
 
0.3%
Other values (575) 616
93.9%
2023-12-11T02:17:20.204041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1100
15.2%
개 635
 
8.8%
중 630
 
8.7%
소 593
 
8.2%
무 586
 
8.1%
인 526
 
7.3%
공 502
 
6.9%
산 265
 
3.7%
동 251
 
3.5%
부 249
 
3.4%
Other values (342) 1887
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7084
98.1%
Uppercase Letter 52
 
0.7%
Space Separator 27
 
0.4%
Decimal Number 22
 
0.3%
Lowercase Letter 13
 
0.2%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1100
15.5%
개 635
 
9.0%
중 630
 
8.9%
소 593
 
8.4%
무 586
 
8.3%
인 526
 
7.4%
공 502
 
7.1%
산 265
 
3.7%
동 251
 
3.5%
부 249
 
3.5%
Other values (301) 1747
24.7%
Uppercase Letter
ValueCountFrequency (%)
K 10
19.2%
S 7
13.5%
T 5
9.6%
O 4
 
7.7%
C 3
 
5.8%
L 3
 
5.8%
M 2
 
3.8%
E 2
 
3.8%
J 2
 
3.8%
P 2
 
3.8%
Other values (9) 12
23.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
h 3
23.1%
p 2
15.4%
m 1
 
7.7%
a 1
 
7.7%
s 1
 
7.7%
u 1
 
7.7%
l 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 11
50.0%
4 3
 
13.6%
3 3
 
13.6%
2 2
 
9.1%
6 1
 
4.5%
5 1
 
4.5%
9 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
; 1
 
16.7%
, 1
 
16.7%
# 1
 
16.7%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7082
98.0%
Common 75
 
1.0%
Latin 65
 
0.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1100
15.5%
개 635
 
9.0%
중 630
 
8.9%
소 593
 
8.4%
무 586
 
8.3%
인 526
 
7.4%
공 502
 
7.1%
산 265
 
3.7%
동 251
 
3.5%
부 249
 
3.5%
Other values (299) 1745
24.6%
Latin
ValueCountFrequency (%)
K 10
15.4%
S 7
 
10.8%
T 5
 
7.7%
O 4
 
6.2%
C 3
 
4.6%
e 3
 
4.6%
h 3
 
4.6%
L 3
 
4.6%
p 2
 
3.1%
M 2
 
3.1%
Other values (17) 23
35.4%
Common
ValueCountFrequency (%)
27
36.0%
1 11
14.7%
( 10
 
13.3%
) 10
 
13.3%
& 3
 
4.0%
4 3
 
4.0%
3 3
 
4.0%
2 2
 
2.7%
; 1
 
1.3%
, 1
 
1.3%
Other values (4) 4
 
5.3%
Han
ValueCountFrequency (%)
堂 1
50.0%
明 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7082
98.0%
ASCII 140
 
1.9%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1100
15.5%
개 635
 
9.0%
중 630
 
8.9%
소 593
 
8.4%
무 586
 
8.3%
인 526
 
7.4%
공 502
 
7.1%
산 265
 
3.7%
동 251
 
3.5%
부 249
 
3.5%
Other values (299) 1745
24.6%
ASCII
ValueCountFrequency (%)
27
19.3%
1 11
 
7.9%
( 10
 
7.1%
) 10
 
7.1%
K 10
 
7.1%
S 7
 
5.0%
T 5
 
3.6%
O 4
 
2.9%
& 3
 
2.1%
C 3
 
2.1%
Other values (31) 50
35.7%
CJK
ValueCountFrequency (%)
堂 1
50.0%
明 1
50.0%

중개업소구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
공인중개사
601 
법인
 
18
중개인
 
10

Length

Max length5
Median length5
Mean length4.8823529
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 601
95.5%
법인 18
 
2.9%
중개인 10
 
1.6%

Length

2023-12-11T02:17:20.527581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:17:20.775266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 601
95.5%
법인 18
 
2.9%
중개인 10
 
1.6%

중개업자명
Text

Distinct610
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T02:17:21.415179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9984102
Min length2

Characters and Unicode

Total characters1886
Distinct characters185
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique595 ?
Unique (%)94.6%

Sample

1st row김종찬
2nd row김금룡
3rd row박삼규
4th row이영균
5th row안영환
ValueCountFrequency (%)
이상민 4
 
0.6%
김정미 3
 
0.5%
김미라 3
 
0.5%
황영숙 2
 
0.3%
이태경 2
 
0.3%
김영도 2
 
0.3%
이은주 2
 
0.3%
이경숙 2
 
0.3%
김정희 2
 
0.3%
전미경 2
 
0.3%
Other values (600) 605
96.2%
2023-12-11T02:17:22.388307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 152
 
8.1%
이 94
 
5.0%
정 78
 
4.1%
박 58
 
3.1%
영 52
 
2.8%
경 44
 
2.3%
희 43
 
2.3%
숙 40
 
2.1%
현 40
 
2.1%
미 39
 
2.1%
Other values (175) 1246
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1886
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 152
 
8.1%
이 94
 
5.0%
정 78
 
4.1%
박 58
 
3.1%
영 52
 
2.8%
경 44
 
2.3%
희 43
 
2.3%
숙 40
 
2.1%
현 40
 
2.1%
미 39
 
2.1%
Other values (175) 1246
66.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1886
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 152
 
8.1%
이 94
 
5.0%
정 78
 
4.1%
박 58
 
3.1%
영 52
 
2.8%
경 44
 
2.3%
희 43
 
2.3%
숙 40
 
2.1%
현 40
 
2.1%
미 39
 
2.1%
Other values (175) 1246
66.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1886
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 152
 
8.1%
이 94
 
5.0%
정 78
 
4.1%
박 58
 
3.1%
영 52
 
2.8%
경 44
 
2.3%
희 43
 
2.3%
숙 40
 
2.1%
현 40
 
2.1%
미 39
 
2.1%
Other values (175) 1246
66.1%

사무소주소
Text

Distinct559
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T02:17:22.950452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length32.551669
Min length16

Characters and Unicode

Total characters20475
Distinct characters247
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique525 ?
Unique (%)83.5%

Sample

1st row부산광역시 연제구 거제천로 118 (연산동)
2nd row부산광역시 연제구 연수로 113-2 (연산동)
3rd row부산광역시 연제구 고분로 14 (연산동)
4th row부산광역시 연제구 중앙천로 86 (연산동)
5th row부산광역시 연제구 안연로 1 (연산동)
ValueCountFrequency (%)
부산광역시 629
 
16.8%
연제구 627
 
16.7%
연산동 137
 
3.6%
거제동 72
 
1.9%
중앙대로 67
 
1.8%
1층(연산동 58
 
1.5%
상가동 56
 
1.5%
51
 
1.4%
월드컵대로 36
 
1.0%
연수로 32
 
0.9%
Other values (709) 1989
53.0%
2023-12-11T02:17:23.866450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3138
 
15.3%
연 1208
 
5.9%
산 1134
 
5.5%
1 965
 
4.7%
제 904
 
4.4%
동 833
 
4.1%
시 720
 
3.5%
역 645
 
3.2%
부 638
 
3.1%
광 630
 
3.1%
Other values (237) 9660
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12313
60.1%
Decimal Number 3317
 
16.2%
Space Separator 3138
 
15.3%
Open Punctuation 602
 
2.9%
Close Punctuation 602
 
2.9%
Other Punctuation 292
 
1.4%
Uppercase Letter 141
 
0.7%
Dash Punctuation 65
 
0.3%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 1208
 
9.8%
산 1134
 
9.2%
제 904
 
7.3%
동 833
 
6.8%
시 720
 
5.8%
역 645
 
5.2%
부 638
 
5.2%
광 630
 
5.1%
구 629
 
5.1%
로 629
 
5.1%
Other values (201) 4343
35.3%
Uppercase Letter
ValueCountFrequency (%)
A 38
27.0%
B 29
20.6%
S 12
 
8.5%
K 11
 
7.8%
E 10
 
7.1%
W 9
 
6.4%
I 9
 
6.4%
V 8
 
5.7%
C 5
 
3.5%
D 3
 
2.1%
Other values (6) 7
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 965
29.1%
0 524
15.8%
2 474
14.3%
3 348
 
10.5%
4 252
 
7.6%
5 191
 
5.8%
7 170
 
5.1%
6 151
 
4.6%
8 134
 
4.0%
9 108
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
s 1
20.0%
k 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 290
99.3%
& 2
 
0.7%
Space Separator
ValueCountFrequency (%)
3138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12313
60.1%
Common 8016
39.2%
Latin 146
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 1208
 
9.8%
산 1134
 
9.2%
제 904
 
7.3%
동 833
 
6.8%
시 720
 
5.8%
역 645
 
5.2%
부 638
 
5.2%
광 630
 
5.1%
구 629
 
5.1%
로 629
 
5.1%
Other values (201) 4343
35.3%
Latin
ValueCountFrequency (%)
A 38
26.0%
B 29
19.9%
S 12
 
8.2%
K 11
 
7.5%
E 10
 
6.8%
W 9
 
6.2%
I 9
 
6.2%
V 8
 
5.5%
C 5
 
3.4%
D 3
 
2.1%
Other values (10) 12
 
8.2%
Common
ValueCountFrequency (%)
3138
39.1%
1 965
 
12.0%
( 602
 
7.5%
) 602
 
7.5%
0 524
 
6.5%
2 474
 
5.9%
3 348
 
4.3%
, 290
 
3.6%
4 252
 
3.1%
5 191
 
2.4%
Other values (6) 630
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12313
60.1%
ASCII 8162
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3138
38.4%
1 965
 
11.8%
( 602
 
7.4%
) 602
 
7.4%
0 524
 
6.4%
2 474
 
5.8%
3 348
 
4.3%
, 290
 
3.6%
4 252
 
3.1%
5 191
 
2.3%
Other values (26) 776
 
9.5%
Hangul
ValueCountFrequency (%)
연 1208
 
9.8%
산 1134
 
9.2%
제 904
 
7.3%
동 833
 
6.8%
시 720
 
5.8%
역 645
 
5.2%
부 638
 
5.2%
광 630
 
5.1%
구 629
 
5.1%
로 629
 
5.1%
Other values (201) 4343
35.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct383
Distinct (%)61.0%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean35.18439
Minimum35.100365
Maximum35.198478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T02:17:24.180931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.100365
5-th percentile35.174038
Q135.180422
median35.184466
Q335.18909
95-th percentile35.192807
Maximum35.198478
Range0.09811254
Interquartile range (IQR)0.0086684775

Descriptive statistics

Standard deviation0.0069511882
Coefficient of variation (CV)0.00019756455
Kurtosis32.808451
Mean35.18439
Median Absolute Deviation (MAD)0.004431155
Skewness-3.0660969
Sum22095.797
Variance4.8319017 × 10-5
MonotonicityNot monotonic
2023-12-11T02:17:24.510196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.18430911 28
 
4.5%
35.18789049 14
 
2.2%
35.19202678 12
 
1.9%
35.1879052 11
 
1.7%
35.17926573 11
 
1.7%
35.18244487 9
 
1.4%
35.17440092 9
 
1.4%
35.18003483 8
 
1.3%
35.1741951 8
 
1.3%
35.18409179 7
 
1.1%
Other values (373) 511
81.2%
ValueCountFrequency (%)
35.10036526 1
 
0.2%
35.16220619 1
 
0.2%
35.17107307 1
 
0.2%
35.171629 1
 
0.2%
35.17177475 3
0.5%
35.1718713 1
 
0.2%
35.17199788 1
 
0.2%
35.17201722 1
 
0.2%
35.1720375 3
0.5%
35.17211246 1
 
0.2%
ValueCountFrequency (%)
35.1984778 1
0.2%
35.19814777 1
0.2%
35.19707024 1
0.2%
35.19622993 1
0.2%
35.19558333 1
0.2%
35.19543586 2
0.3%
35.19528066 1
0.2%
35.1951738 1
0.2%
35.19501485 1
0.2%
35.19475524 1
0.2%

경도
Text

Distinct383
Distinct (%)61.0%
Missing1
Missing (%)0.2%
Memory size5.0 KiB
2023-12-11T02:17:24.952544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.909236
Min length8

Characters and Unicode

Total characters6851
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)46.3%

Sample

1st row129.075048
2nd row129.0833895
3rd row129.0838132
4th row129.0794433
5th row129.1008988
ValueCountFrequency (%)
129.0798432 28
 
4.5%
129.0679648 14
 
2.2%
129.0955342 12
 
1.9%
129.0769594 11
 
1.8%
129.0897884 11
 
1.8%
129.0843959 9
 
1.4%
129.0782648 9
 
1.4%
129.080975 8
 
1.3%
129.107804 8
 
1.3%
129.1046198 7
 
1.1%
Other values (373) 511
81.4%
2023-12-11T02:17:25.744862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1066
15.6%
1 964
14.1%
2 911
13.3%
0 844
12.3%
. 628
9.2%
8 570
8.3%
7 489
7.1%
4 375
 
5.5%
5 367
 
5.4%
6 353
 
5.2%
Other values (2) 284
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6221
90.8%
Other Punctuation 630
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1066
17.1%
1 964
15.5%
2 911
14.6%
0 844
13.6%
8 570
9.2%
7 489
7.9%
4 375
 
6.0%
5 367
 
5.9%
6 353
 
5.7%
3 282
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 628
99.7%
! 2
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6851
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1066
15.6%
1 964
14.1%
2 911
13.3%
0 844
12.3%
. 628
9.2%
8 570
8.3%
7 489
7.1%
4 375
 
5.5%
5 367
 
5.4%
6 353
 
5.2%
Other values (2) 284
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1066
15.6%
1 964
14.1%
2 911
13.3%
0 844
12.3%
. 628
9.2%
8 570
8.3%
7 489
7.1%
4 375
 
5.5%
5 367
 
5.4%
6 353
 
5.2%
Other values (2) 284
 
4.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2023-10-06 00:00:00
Maximum2023-10-06 00:00:00
2023-12-11T02:17:25.976899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:17:26.205656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:17:14.998638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:17:14.579335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:17:15.199351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:17:14.787061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:17:26.386370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구명행정처분상태중개업소구분위도
순번1.0000.0000.0000.5950.162
시군구명0.0001.0000.0000.0001.000
행정처분상태0.0000.0001.0000.1370.000
중개업소구분0.5950.0000.1371.0000.000
위도0.1621.0000.0000.0001.000
2023-12-11T02:17:26.598102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정처분상태중개업소구분시군구명
행정처분상태1.0000.2260.000
중개업소구분0.2261.0000.000
시군구명0.0000.0001.000
2023-12-11T02:17:26.837420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도시군구명행정처분상태중개업소구분
순번1.000-0.1300.0000.0000.437
위도-0.1301.0000.9980.0000.000
시군구명0.0000.9981.0000.0000.000
행정처분상태0.0000.0000.0001.0000.226
중개업소구분0.4370.0000.0000.2261.000

Missing values

2023-12-11T02:17:15.463839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:17:15.814626image/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.
2023-12-11T02:17:16.001159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번시군구명등록번호행정처분상태중개업소명중개업소구분중개업자명사무소주소위도경도데이터기준일자
01부산광역시 연제구가-13-1358영업중우리동네부동산중개사무소중개인김종찬부산광역시 연제구 거제천로 118 (연산동)35.18439129.0750482023-10-06
12부산광역시 연제구가-13-11영업중금성부동산중개사무소중개인김금룡부산광역시 연제구 연수로 113-2 (연산동)35.175264129.08338952023-10-06
23부산광역시 연제구가-13-86영업중경남부동산중개사무소중개인박삼규부산광역시 연제구 고분로 14 (연산동)35.185595129.08381322023-10-06
34부산광역시 연제구가-13-83영업중대호부동산중개사무소중개인이영균부산광역시 연제구 중앙천로 86 (연산동)35.181298129.07944332023-10-06
45부산광역시 연제구나-13-32영업중경주부동산중개사무소중개인안영환부산광역시 연제구 안연로 1 (연산동)35.187926129.10089882023-10-06
56부산광역시 연제구가-13-51영업중하나부동산중개인사무소중개인조영도부산광역시 연제구 연수로 210 (연산동)35.173561129.09356682023-10-06
67부산광역시 연제구가-13-1440영업중우리부동산중개인사무소중개인윤재만부산광역시 연제구 연수로 228 (연산동)35.1733129.09550372023-10-06
78부산광역시 연제구가-13-60영업중대성부동산중개인 사무소중개인정숙자부산광역시 연제구 월드컵대로187번길 33 (거제동)35.186438129.07522082023-10-06
89부산광역시 연제구가-13-84영업중한일부동산중개인 사무소중개인김순희부산광역시 연제구 과정로208번길 21 (연산동)35.188868129.1043492023-10-06
910부산광역시 연제구26470-2020-00173영업중대지부동산중개사무소중개인강대익부산광역시 연제구 중앙대로 1095 2층 2호(연산동)35.185645129.08089272023-10-06
순번시군구명등록번호행정처분상태중개업소명중개업소구분중개업자명사무소주소위도경도데이터기준일자
619620부산광역시 연제구26470-2022-00119영업중태영부동산중개법인법인엄태영부산광역시 연제구 중앙대로 1077 201호35.184309129.07984322023-10-06
620621부산광역시 연제구26470-2016-00066영업중(주)온나라부동산중개법인법인정유천부산광역시 연제구 월드컵대로 144 2층(연산동)35.186672129.08065692023-10-06
621622부산광역시 연제구26470-2023-00016영업중(주)원스탑경매부동산중개법인법인공리혜부산광역시 연제구 법원로 12 3층 (거제동, 로윈타워)35.190319129.07312522023-10-06
622623부산광역시 연제구26470-2018-00085영업중(주)부동산중개법인개벽법인권태용부산광역시 연제구 중앙대로 1091 602호(연산동)35.185412129.08065792023-10-06
623624부산광역시 연제구26470-2022-00024휴업주식회사 리코리더부동산중개법인법인한달수부산광역시 연제구 반송로 30 8층(연산동)35.187685129.08420282023-10-06
624625부산광역시 연제구가-13-372영업중하우징마트부동산중개(주)법인김진부산광역시 연제구 월드컵대로 157 11층(연산동,호성빌딩)35.186653129.07894462023-10-06
625626부산광역시 연제구26470-2021-00110영업중주식회사 진성부동산중개법인법인박진성부산광역시 연제구 중앙대로 1077 상계빌딩A동 201호(연산동)35.184309129.07984322023-10-06
626627부산광역시 연제구26470-2016-00008영업중코리아부동산중개법인 주식회사법인황윤성부산광역시 연제구 중앙대로 1038 (연산동)35.181053129.07797362023-10-06
627628부산광역시 연제구26470-2022-00065영업중주식회사 연합부동산중개법인법인김정미부산광역시 연제구 중앙대로 1077 상계빌딩A동 201호(연산동)35.184309129.07984322023-10-06
628629부산광역시 연제구26470-2021-00142영업중주식회사우리들부동산중개법인법인안상훈부산광역시 연제구 쌍미천로 115 1층(연산동)35.183013129.08704322023-10-06