Overview

Dataset statistics

Number of variables4
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory34.8 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description경상북도 상주시 관내에 위치한 부동산 중개업소데 대한 등록 현황 데이터로 순번, 상호, 주소 등의 항목을 확인 가능합니다.
Author경상북도 상주시
URLhttps://www.data.go.kr/data/15005356/fileData.do

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:29:05.445185
Analysis finished2023-12-12 06:29:06.018486
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T15:29:06.093209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2023-12-12T15:29:06.271430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

상 호
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T15:29:06.510576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.373333
Min length7

Characters and Unicode

Total characters778
Distinct characters110
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

Unique73 ?
Unique (%)97.3%

Sample

1st row중앙부동산중개인사무소
2nd row을지부동산중개인사무소
3rd row대운부동산중개사무소
4th row안일부동산중개사무소
5th row묘봉부동산사무소
ValueCountFrequency (%)
행운부동산중개 2
 
2.7%
낙양공인중개사사무소 1
 
1.3%
동아부동산중개사무소 1
 
1.3%
주은공인중개서 1
 
1.3%
대박공인중개사사무소 1
 
1.3%
향토공인중개사사무소 1
 
1.3%
화서공인중개사사무소 1
 
1.3%
영광공인중개사사무소 1
 
1.3%
김동영공인중개사사무소 1
 
1.3%
도성부동산공인중개사사무소 1
 
1.3%
Other values (64) 64
85.3%
2023-12-12T15:29:06.973689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 126
16.2%
중 77
9.9%
개 74
9.5%
소 67
8.6%
무 66
8.5%
인 62
 
8.0%
공 60
 
7.7%
부 29
 
3.7%
동 29
 
3.7%
산 29
 
3.7%
Other values (100) 159
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 778
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 126
16.2%
중 77
9.9%
개 74
9.5%
소 67
8.6%
무 66
8.5%
인 62
 
8.0%
공 60
 
7.7%
부 29
 
3.7%
동 29
 
3.7%
산 29
 
3.7%
Other values (100) 159
20.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 778
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 126
16.2%
중 77
9.9%
개 74
9.5%
소 67
8.6%
무 66
8.5%
인 62
 
8.0%
공 60
 
7.7%
부 29
 
3.7%
동 29
 
3.7%
산 29
 
3.7%
Other values (100) 159
20.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 778
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 126
16.2%
중 77
9.9%
개 74
9.5%
소 67
8.6%
무 66
8.5%
인 62
 
8.0%
공 60
 
7.7%
부 29
 
3.7%
동 29
 
3.7%
산 29
 
3.7%
Other values (100) 159
20.4%

주 소
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T15:29:07.275182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length21.106667
Min length15

Characters and Unicode

Total characters1583
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)97.3%

Sample

1st row경상북도 상주시 삼백로 105(무양동)
2nd row경상북도 상주시 왕산로 219-7(남성동)
3rd row경상북도 상주시 왕산로 106-16(남성동)
4th row경상북도 상주시 상산로 366(냉림동)
5th row경상북도 상주시 화북면 운흥4길 2-3
ValueCountFrequency (%)
상주시 74
23.5%
경상북도 69
21.9%
경상대로 15
 
4.8%
중앙로 12
 
3.8%
삼백로 8
 
2.5%
상산로 7
 
2.2%
함창읍 5
 
1.6%
영남제일로 4
 
1.3%
화서면 3
 
1.0%
함창중앙로 3
 
1.0%
Other values (105) 115
36.5%
2023-12-12T15:29:07.747377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
15.2%
상 169
 
10.7%
경 84
 
5.3%
시 76
 
4.8%
주 75
 
4.7%
북 71
 
4.5%
도 69
 
4.4%
로 57
 
3.6%
1 55
 
3.5%
동 54
 
3.4%
Other values (75) 632
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 969
61.2%
Decimal Number 261
 
16.5%
Space Separator 241
 
15.2%
Close Punctuation 46
 
2.9%
Open Punctuation 46
 
2.9%
Dash Punctuation 17
 
1.1%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 169
17.4%
경 84
 
8.7%
시 76
 
7.8%
주 75
 
7.7%
북 71
 
7.3%
도 69
 
7.1%
로 57
 
5.9%
동 54
 
5.6%
길 18
 
1.9%
앙 17
 
1.8%
Other values (57) 279
28.8%
Decimal Number
ValueCountFrequency (%)
1 55
21.1%
3 40
15.3%
2 40
15.3%
5 25
9.6%
6 24
9.2%
0 22
 
8.4%
4 18
 
6.9%
8 15
 
5.7%
9 12
 
4.6%
7 10
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 45
97.8%
] 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 45
97.8%
[ 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
@ 1
33.3%
Space Separator
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 969
61.2%
Common 614
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 169
17.4%
경 84
 
8.7%
시 76
 
7.8%
주 75
 
7.7%
북 71
 
7.3%
도 69
 
7.1%
로 57
 
5.9%
동 54
 
5.6%
길 18
 
1.9%
앙 17
 
1.8%
Other values (57) 279
28.8%
Common
ValueCountFrequency (%)
241
39.3%
1 55
 
9.0%
) 45
 
7.3%
( 45
 
7.3%
3 40
 
6.5%
2 40
 
6.5%
5 25
 
4.1%
6 24
 
3.9%
0 22
 
3.6%
4 18
 
2.9%
Other values (8) 59
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 969
61.2%
ASCII 614
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
39.3%
1 55
 
9.0%
) 45
 
7.3%
( 45
 
7.3%
3 40
 
6.5%
2 40
 
6.5%
5 25
 
4.1%
6 24
 
3.9%
0 22
 
3.6%
4 18
 
2.9%
Other values (8) 59
 
9.6%
Hangul
ValueCountFrequency (%)
상 169
17.4%
경 84
 
8.7%
시 76
 
7.8%
주 75
 
7.7%
북 71
 
7.3%
도 69
 
7.1%
로 57
 
5.9%
동 54
 
5.6%
길 18
 
1.9%
앙 17
 
1.8%
Other values (57) 279
28.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2021-10-14
75 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-10-14
2nd row2021-10-14
3rd row2021-10-14
4th row2021-10-14
5th row2021-10-14

Common Values

ValueCountFrequency (%)
2021-10-14 75
100.0%

Length

2023-12-12T15:29:07.907199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:08.047708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-10-14 75
100.0%

Interactions

2023-12-12T15:29:05.699389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:29:08.121432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상 호주 소
순번1.0000.9460.946
상 호0.9461.0001.000
주 소0.9461.0001.000

Missing values

2023-12-12T15:29:05.866549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:05.976871image/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

순번상 호주 소데이터기준일
01중앙부동산중개인사무소경상북도 상주시 삼백로 105(무양동)2021-10-14
12을지부동산중개인사무소경상북도 상주시 왕산로 219-7(남성동)2021-10-14
23대운부동산중개사무소경상북도 상주시 왕산로 106-16(남성동)2021-10-14
34안일부동산중개사무소경상북도 상주시 상산로 366(냉림동)2021-10-14
45묘봉부동산사무소경상북도 상주시 화북면 운흥4길 2-32021-10-14
56중모부동산중개인사무소경상북도 상주시 모동면 용호1길 24-12021-10-14
67삼공부동산중개사무소경상북도 상주시 화서면 화령남3길 15-22021-10-14
78오복부동산중개인사무소경상북도 상주시 화남면 영남제일로 46322021-10-14
89청솔부동산중개사무소안산시단원구 선부동 961[주공@복합상가 105호]2021-10-14
910남상주부동산중개사무소경상북도 상주시 낙양7길 2(낙양동)2021-10-14
순번상 호주 소데이터기준일
6566제일부동산공인중개사사무소경상북도 상주시 경상대로 29852021-10-14
6667한마음공인중개사사무소경상북도 상주시 공검면 비재로 13482021-10-14
6768대가공인중개사경상북도 상주시 공성면 공성중앙로 822021-10-14
6869우방공인중개사사무소경상북도 상주시 중앙로 292(성동동)2021-10-14
6970천년공인중개사사무소경상북도 상주시 동수4길 32021-10-14
7071은혜공인중개사상주시 중앙로 285(복룡동)2021-10-14
7172남산공인중개사사무소상주시 상산로 181(남성동)2021-10-14
7273더조은공인중개사사무소상주시 경상대로 2926(낙양동)2021-10-14
7374정재갑공인중개사사무소상주시 서문길 69(서문길)2021-10-14
7475김단다공인중개사사무소상주시 낙동면 영님제일로 86, 3호2021-10-14