Overview

Dataset statistics

Number of variables5
Number of observations36
Missing cells6
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.7 B

Variable types

Numeric1
Text4

Dataset

Description영동군내에 등록되어 있는 부동산중개업소 현황으로 번호, 사무소명, 중개업자명, 사무소전화번호, 도로명주소가 있습니다.
Author충청북도 영동군
URLhttps://www.data.go.kr/data/15053926/fileData.do

Alerts

사무소전화번호 has 6 (16.7%) missing valuesMissing
번호 has unique valuesUnique
사무소명 has unique valuesUnique
중개업자명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:44:51.304446
Analysis finished2023-12-12 23:44:51.782938
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:44:51.852478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-13T08:44:51.968269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

사무소명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T08:44:52.181685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.805556
Min length7

Characters and Unicode

Total characters389
Distinct characters68
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row영동역전공인중개사사무소
2nd row부산부동산중개인사무소
3rd row영동부자부동산공인중개사사무소
4th row구룡부동산중개인사무소
5th row에이스공인중개사사무소
ValueCountFrequency (%)
영동역전공인중개사사무소 1
 
2.6%
그린공인중개사사무소 1
 
2.6%
필 1
 
2.6%
공인중개사사무소 1
 
2.6%
ok공인중개사사무소 1
 
2.6%
백제부동산중개 1
 
2.6%
세종공인중개사사무소 1
 
2.6%
대웅공인중개사사무소 1
 
2.6%
용공인중개사사무소 1
 
2.6%
가온부동산공인중개사사무소 1
 
2.6%
Other values (29) 29
74.4%
2023-12-13T08:44:52.539469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 66
17.0%
중 37
9.5%
인 36
9.3%
개 36
9.3%
소 36
9.3%
무 35
9.0%
공 31
8.0%
동 13
 
3.3%
산 13
 
3.3%
부 12
 
3.1%
Other values (58) 74
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
98.7%
Space Separator 3
 
0.8%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 66
17.2%
중 37
9.6%
인 36
9.4%
개 36
9.4%
소 36
9.4%
무 35
9.1%
공 31
8.1%
동 13
 
3.4%
산 13
 
3.4%
부 12
 
3.1%
Other values (55) 69
18.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
98.7%
Common 3
 
0.8%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 66
17.2%
중 37
9.6%
인 36
9.4%
개 36
9.4%
소 36
9.4%
무 35
9.1%
공 31
8.1%
동 13
 
3.4%
산 13
 
3.4%
부 12
 
3.1%
Other values (55) 69
18.0%
Latin
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
98.7%
ASCII 5
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 66
17.2%
중 37
9.6%
인 36
9.4%
개 36
9.4%
소 36
9.4%
무 35
9.1%
공 31
8.1%
동 13
 
3.4%
산 13
 
3.4%
부 12
 
3.1%
Other values (55) 69
18.0%
ASCII
ValueCountFrequency (%)
3
60.0%
O 1
 
20.0%
K 1
 
20.0%

중개업자명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T08:44:52.734414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters108
Distinct characters66
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

Unique36 ?
Unique (%)100.0%

Sample

1st row최숙희
2nd row박충규
3rd row김상천
4th row한상근
5th row김윤구
ValueCountFrequency (%)
최숙희 1
 
2.8%
박충규 1
 
2.8%
조재란 1
 
2.8%
안효종 1
 
2.8%
김국현 1
 
2.8%
박은희 1
 
2.8%
강형식 1
 
2.8%
용해석 1
 
2.8%
이성순 1
 
2.8%
이유담 1
 
2.8%
Other values (26) 26
72.2%
2023-12-13T08:44:53.035999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
4.6%
이 5
 
4.6%
정 4
 
3.7%
성 4
 
3.7%
재 4
 
3.7%
손 3
 
2.8%
규 3
 
2.8%
숙 3
 
2.8%
조 3
 
2.8%
광 3
 
2.8%
Other values (56) 71
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
4.6%
이 5
 
4.6%
정 4
 
3.7%
성 4
 
3.7%
재 4
 
3.7%
손 3
 
2.8%
규 3
 
2.8%
숙 3
 
2.8%
조 3
 
2.8%
광 3
 
2.8%
Other values (56) 71
65.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
4.6%
이 5
 
4.6%
정 4
 
3.7%
성 4
 
3.7%
재 4
 
3.7%
손 3
 
2.8%
규 3
 
2.8%
숙 3
 
2.8%
조 3
 
2.8%
광 3
 
2.8%
Other values (56) 71
65.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
4.6%
이 5
 
4.6%
정 4
 
3.7%
성 4
 
3.7%
재 4
 
3.7%
손 3
 
2.8%
규 3
 
2.8%
숙 3
 
2.8%
조 3
 
2.8%
광 3
 
2.8%
Other values (56) 71
65.7%

사무소전화번호
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing6
Missing (%)16.7%
Memory size420.0 B
2023-12-13T08:44:53.218349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
Distinct characters11
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

Unique30 ?
Unique (%)100.0%

Sample

1st row043-742-0080
2nd row043-743-2707
3rd row043-745-7122
4th row043-742-8585
5th row043-744-8077
ValueCountFrequency (%)
043-743-2707 1
 
3.3%
043-745-7122 1
 
3.3%
043-743-1835 1
 
3.3%
043-745-2828 1
 
3.3%
043-745-7419 1
 
3.3%
043-745-9400 1
 
3.3%
043-744-8949 1
 
3.3%
043-744-4988 1
 
3.3%
043-745-1112 1
 
3.3%
043-742-4300 1
 
3.3%
Other values (20) 20
66.7%
2023-12-13T08:44:53.519388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 77
21.4%
- 60
16.7%
0 50
13.9%
3 39
10.8%
7 39
10.8%
5 25
 
6.9%
9 20
 
5.6%
1 17
 
4.7%
8 16
 
4.4%
2 14
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 77
25.7%
0 50
16.7%
3 39
13.0%
7 39
13.0%
5 25
 
8.3%
9 20
 
6.7%
1 17
 
5.7%
8 16
 
5.3%
2 14
 
4.7%
6 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 77
21.4%
- 60
16.7%
0 50
13.9%
3 39
10.8%
7 39
10.8%
5 25
 
6.9%
9 20
 
5.6%
1 17
 
4.7%
8 16
 
4.4%
2 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 77
21.4%
- 60
16.7%
0 50
13.9%
3 39
10.8%
7 39
10.8%
5 25
 
6.9%
9 20
 
5.6%
1 17
 
4.7%
8 16
 
4.4%
2 14
 
3.9%

사무소도로명주소
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T08:44:53.729320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length21.166667
Min length19

Characters and Unicode

Total characters762
Distinct characters57
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

Unique34 ?
Unique (%)94.4%

Sample

1st row충청북도 영동군 영동읍 계산로 79-1
2nd row충청북도 영동군 영동읍 계산로 75
3rd row충청북도 영동군 영동읍 계산로 69
4th row충청북도 영동군 영동읍 계산로 55-1
5th row충청북도 영동군 영동읍 계산로 53-1
ValueCountFrequency (%)
영동군 36
19.8%
충청북도 35
19.2%
영동읍 24
13.2%
계산로 14
 
7.7%
황간면 4
 
2.2%
영동황간로 4
 
2.2%
용산면 3
 
1.6%
1737 2
 
1.1%
용산로 2
 
1.1%
용화면 2
 
1.1%
Other values (55) 56
30.8%
2023-12-13T08:44:54.065825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
19.2%
영 66
 
8.7%
동 66
 
8.7%
충 36
 
4.7%
북 36
 
4.7%
도 36
 
4.7%
군 36
 
4.7%
청 35
 
4.6%
로 35
 
4.6%
1 28
 
3.7%
Other values (47) 242
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
65.2%
Space Separator 146
 
19.2%
Decimal Number 107
 
14.0%
Dash Punctuation 12
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 66
13.3%
동 66
13.3%
충 36
 
7.2%
북 36
 
7.2%
도 36
 
7.2%
군 36
 
7.2%
청 35
 
7.0%
로 35
 
7.0%
산 27
 
5.4%
읍 24
 
4.8%
Other values (35) 100
20.1%
Decimal Number
ValueCountFrequency (%)
1 28
26.2%
5 14
13.1%
2 12
11.2%
3 11
 
10.3%
8 11
 
10.3%
6 7
 
6.5%
7 7
 
6.5%
0 6
 
5.6%
9 6
 
5.6%
4 5
 
4.7%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
65.2%
Common 265
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 66
13.3%
동 66
13.3%
충 36
 
7.2%
북 36
 
7.2%
도 36
 
7.2%
군 36
 
7.2%
청 35
 
7.0%
로 35
 
7.0%
산 27
 
5.4%
읍 24
 
4.8%
Other values (35) 100
20.1%
Common
ValueCountFrequency (%)
146
55.1%
1 28
 
10.6%
5 14
 
5.3%
- 12
 
4.5%
2 12
 
4.5%
3 11
 
4.2%
8 11
 
4.2%
6 7
 
2.6%
7 7
 
2.6%
0 6
 
2.3%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
65.2%
ASCII 265
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
55.1%
1 28
 
10.6%
5 14
 
5.3%
- 12
 
4.5%
2 12
 
4.5%
3 11
 
4.2%
8 11
 
4.2%
6 7
 
2.6%
7 7
 
2.6%
0 6
 
2.3%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
영 66
13.3%
동 66
13.3%
충 36
 
7.2%
북 36
 
7.2%
도 36
 
7.2%
군 36
 
7.2%
청 35
 
7.0%
로 35
 
7.0%
산 27
 
5.4%
읍 24
 
4.8%
Other values (35) 100
20.1%

Interactions

2023-12-13T08:44:51.534145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:44:54.392557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사무소명중개업자명사무소전화번호사무소도로명주소
번호1.0001.0001.0001.0001.000
사무소명1.0001.0001.0001.0001.000
중개업자명1.0001.0001.0001.0001.000
사무소전화번호1.0001.0001.0001.0001.000
사무소도로명주소1.0001.0001.0001.0001.000

Missing values

2023-12-13T08:44:51.647915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:44:51.741548image/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

번호사무소명중개업자명사무소전화번호사무소도로명주소
01영동역전공인중개사사무소최숙희043-742-0080충청북도 영동군 영동읍 계산로 79-1
12부산부동산중개인사무소박충규043-743-2707충청북도 영동군 영동읍 계산로 75
23영동부자부동산공인중개사사무소김상천043-745-7122충청북도 영동군 영동읍 계산로 69
34구룡부동산중개인사무소한상근043-742-8585충청북도 영동군 영동읍 계산로 55-1
45에이스공인중개사사무소김윤구043-744-8077충청북도 영동군 영동읍 계산로 53-1
56삼성공인중개사사무소김창호043-744-5690충청북도 영동군 영동읍 계산로 47-2
67미소공인중개사사무소양규남043-745-2459충청북도 영동군 영동읍 계산로 39
78천지인공인중개사사무소양광숙043-744-5599충청북도 영동군 영동읍 계산로 28-2
89명성공인중개사사무소성동현043-745-0525충청북도 영동군 영동읍 계산로 36-1
910손규재 공인중개사 사무소손규재043-743-4989충청북도 영동군 영동읍 계산로 86
번호사무소명중개업자명사무소전화번호사무소도로명주소
2627필 공인중개사사무소조재란043-745-1112충청북도 영동군 황간면 황간동로 58
2728가온부동산공인중개사사무소이유담043-744-4988충청북도 영동군 황간면 영동황간로 1690
2829홍익공인중개사사무소황선택043-744-8949충청북도 영동군 황간면 영동황간로 1737
2930황간공인중개사사무소최영곤043-745-9400충청북도 영동군 황간면 영동황간로 1737
3031강남공인중개사사무소조영준043-745-7419충청북도 영동군 상촌면 민주지산로 3013
3132용화삼거리공인중개사사무소김정식043-745-2828충청북도 영동군 용화면 용화양강로 2
3233반딧불이공인중개사사무소정형근043-743-1835충청북도 영동군 용화면 용화양강로 11-2
3334학산부동산공인중개사사무소정선화<NA>충청북도 영동군 학산면 학산양산로 5-1
3435양산공인중개사사무소송인원043-745-7100충청북도 영동군 양산면 금강로 1511
3536참공인중개사사무소이기옥<NA>충청북도 영동군 영동읍 시장4길 5