Overview

Dataset statistics

Number of variables5
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory40.8 B

Variable types

Text4
Categorical1

Dataset

Description서울특별시 금천구 관내 무료 공인중개서비스 업소로 독거노인, 저소득총, 소년소녀등 취약계층대상으로 무료 공인중개서비스를 실시하는 중개업소 명단 입니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/3081136/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 19:42:56.568375
Analysis finished2023-12-12 19:42:57.185231
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct150
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:42:57.393585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length9.9017341
Min length7

Characters and Unicode

Total characters1713
Distinct characters173
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)78.6%

Sample

1st row동광공인중개사사무소
2nd row서울공인중개사사무소
3rd row신세계공인중개사사무소
4th row써니공인중개사사무소
5th row한솔공인중개사사무소
ValueCountFrequency (%)
현대공인중개사사무소 6
 
3.4%
대성공인중개사사무소 4
 
2.3%
서울공인중개사사무소 3
 
1.7%
미래공인중개사사무소 3
 
1.7%
삼성공인중개사사무소 3
 
1.7%
풍년부동산중개 2
 
1.1%
에이스공인중개사사무소 2
 
1.1%
한일공인중개사사무소 2
 
1.1%
ok공인중개사사무소 2
 
1.1%
중앙부동산중개 2
 
1.1%
Other values (142) 146
83.4%
2023-12-13T04:42:57.856294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 276
16.1%
중 176
10.3%
개 175
10.2%
무 143
 
8.3%
소 142
 
8.3%
공 134
 
7.8%
인 134
 
7.8%
동 53
 
3.1%
산 50
 
2.9%
부 46
 
2.7%
Other values (163) 384
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1693
98.8%
Uppercase Letter 13
 
0.8%
Lowercase Letter 4
 
0.2%
Space Separator 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 276
16.3%
중 176
10.4%
개 175
10.3%
무 143
 
8.4%
소 142
 
8.4%
공 134
 
7.9%
인 134
 
7.9%
동 53
 
3.1%
산 50
 
3.0%
부 46
 
2.7%
Other values (150) 364
21.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
23.1%
O 3
23.1%
T 2
15.4%
G 1
 
7.7%
L 1
 
7.7%
X 1
 
7.7%
S 1
 
7.7%
I 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
s 1
25.0%
y 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1693
98.8%
Latin 17
 
1.0%
Common 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 276
16.3%
중 176
10.4%
개 175
10.3%
무 143
 
8.4%
소 142
 
8.4%
공 134
 
7.9%
인 134
 
7.9%
동 53
 
3.1%
산 50
 
3.0%
부 46
 
2.7%
Other values (150) 364
21.5%
Latin
ValueCountFrequency (%)
K 3
17.6%
O 3
17.6%
e 2
11.8%
T 2
11.8%
G 1
 
5.9%
L 1
 
5.9%
s 1
 
5.9%
y 1
 
5.9%
X 1
 
5.9%
S 1
 
5.9%
Common
ValueCountFrequency (%)
2
66.7%
- 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1693
98.8%
ASCII 20
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 276
16.3%
중 176
10.4%
개 175
10.3%
무 143
 
8.4%
소 142
 
8.4%
공 134
 
7.9%
인 134
 
7.9%
동 53
 
3.1%
산 50
 
3.0%
부 46
 
2.7%
Other values (150) 364
21.5%
ASCII
ValueCountFrequency (%)
K 3
15.0%
O 3
15.0%
e 2
10.0%
2
10.0%
T 2
10.0%
G 1
 
5.0%
L 1
 
5.0%
- 1
 
5.0%
s 1
 
5.0%
y 1
 
5.0%
Other values (3) 3
15.0%

주소
Text

Distinct171
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:42:58.102319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length29.052023
Min length20

Characters and Unicode

Total characters5026
Distinct characters148
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)97.7%

Sample

1st row서울특별시 금천구 남부순환로 1268-3, 1층일부(가산동)
2nd row서울특별시 금천구 남부순환로112길 14, 101호(가산동)
3rd row서울특별시 금천구 시흥대로153길 82(가산동)
4th row서울특별시 금천구 두산로9길 51(가산동)
5th row서울특별시 금천구 가산로3길 78(가산동)
ValueCountFrequency (%)
서울특별시 173
22.1%
금천구 173
22.1%
독산로 17
 
2.2%
금하로 13
 
1.7%
시흥대로 10
 
1.3%
가산디지털1로 7
 
0.9%
상가동 7
 
0.9%
816 6
 
0.8%
11 6
 
0.8%
금하로24길 5
 
0.6%
Other values (288) 367
46.8%
2023-12-13T04:42:58.535460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
12.2%
시 299
 
5.9%
1 251
 
5.0%
금 194
 
3.9%
동 193
 
3.8%
산 180
 
3.6%
서 176
 
3.5%
구 173
 
3.4%
울 173
 
3.4%
특 173
 
3.4%
Other values (138) 2602
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3079
61.3%
Decimal Number 839
 
16.7%
Space Separator 612
 
12.2%
Open Punctuation 172
 
3.4%
Close Punctuation 172
 
3.4%
Other Punctuation 116
 
2.3%
Dash Punctuation 20
 
0.4%
Uppercase Letter 16
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 299
 
9.7%
금 194
 
6.3%
동 193
 
6.3%
산 180
 
5.8%
서 176
 
5.7%
구 173
 
5.6%
울 173
 
5.6%
특 173
 
5.6%
천 173
 
5.6%
별 173
 
5.6%
Other values (111) 1172
38.1%
Uppercase Letter
ValueCountFrequency (%)
T 3
18.8%
B 2
12.5%
A 2
12.5%
E 1
 
6.2%
S 1
 
6.2%
I 1
 
6.2%
V 1
 
6.2%
O 1
 
6.2%
W 1
 
6.2%
R 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
1 251
29.9%
2 107
12.8%
0 95
 
11.3%
3 81
 
9.7%
6 58
 
6.9%
4 51
 
6.1%
9 51
 
6.1%
5 50
 
6.0%
8 50
 
6.0%
7 45
 
5.4%
Space Separator
ValueCountFrequency (%)
612
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Other Punctuation
ValueCountFrequency (%)
, 116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3079
61.3%
Common 1931
38.4%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 299
 
9.7%
금 194
 
6.3%
동 193
 
6.3%
산 180
 
5.8%
서 176
 
5.7%
구 173
 
5.6%
울 173
 
5.6%
특 173
 
5.6%
천 173
 
5.6%
별 173
 
5.6%
Other values (111) 1172
38.1%
Common
ValueCountFrequency (%)
612
31.7%
1 251
13.0%
( 172
 
8.9%
) 172
 
8.9%
, 116
 
6.0%
2 107
 
5.5%
0 95
 
4.9%
3 81
 
4.2%
6 58
 
3.0%
4 51
 
2.6%
Other values (5) 216
 
11.2%
Latin
ValueCountFrequency (%)
T 3
18.8%
B 2
12.5%
A 2
12.5%
E 1
 
6.2%
S 1
 
6.2%
I 1
 
6.2%
V 1
 
6.2%
O 1
 
6.2%
W 1
 
6.2%
R 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3079
61.3%
ASCII 1947
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
31.4%
1 251
12.9%
( 172
 
8.8%
) 172
 
8.8%
, 116
 
6.0%
2 107
 
5.5%
0 95
 
4.9%
3 81
 
4.2%
6 58
 
3.0%
4 51
 
2.6%
Other values (17) 232
 
11.9%
Hangul
ValueCountFrequency (%)
시 299
 
9.7%
금 194
 
6.3%
동 193
 
6.3%
산 180
 
5.8%
서 176
 
5.7%
구 173
 
5.6%
울 173
 
5.6%
특 173
 
5.6%
천 173
 
5.6%
별 173
 
5.6%
Other values (111) 1172
38.1%

전화번호
Text

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:42:58.770478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.052023
Min length11

Characters and Unicode

Total characters1912
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

Unique171 ?
Unique (%)98.8%

Sample

1st row02-868-6131
2nd row02-858-5114
3rd row02-858-8988
4th row02-851-0050
5th row02-857-5600
ValueCountFrequency (%)
02-866-8945 2
 
1.2%
02-803-3360 1
 
0.6%
02-804-8496 1
 
0.6%
02-802-5693 1
 
0.6%
02-892-9637 1
 
0.6%
02-803-8944 1
 
0.6%
02-894-9007 1
 
0.6%
02-807-8030 1
 
0.6%
02-809-6060 1
 
0.6%
02-894-8940 1
 
0.6%
Other values (162) 162
93.6%
2023-12-13T04:42:59.139817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 363
19.0%
- 346
18.1%
2 261
13.7%
8 255
13.3%
9 140
 
7.3%
4 106
 
5.5%
5 104
 
5.4%
3 102
 
5.3%
6 89
 
4.7%
1 85
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1566
81.9%
Dash Punctuation 346
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 363
23.2%
2 261
16.7%
8 255
16.3%
9 140
 
8.9%
4 106
 
6.8%
5 104
 
6.6%
3 102
 
6.5%
6 89
 
5.7%
1 85
 
5.4%
7 61
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 363
19.0%
- 346
18.1%
2 261
13.7%
8 255
13.3%
9 140
 
7.3%
4 106
 
5.5%
5 104
 
5.4%
3 102
 
5.3%
6 89
 
4.7%
1 85
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 363
19.0%
- 346
18.1%
2 261
13.7%
8 255
13.3%
9 140
 
7.3%
4 106
 
5.5%
5 104
 
5.4%
3 102
 
5.3%
6 89
 
4.7%
1 85
 
4.4%

대표명
Text

Distinct172
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:42:59.489401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters519
Distinct characters134
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

Unique171 ?
Unique (%)98.8%

Sample

1st row이태상
2nd row김정희
3rd row김천회
4th row이수현
5th row윤양기
ValueCountFrequency (%)
김정희 2
 
1.2%
전종숙 1
 
0.6%
윤기동 1
 
0.6%
채호경 1
 
0.6%
배옥화 1
 
0.6%
소병환 1
 
0.6%
김용숙 1
 
0.6%
심건택 1
 
0.6%
안혜자 1
 
0.6%
신도철 1
 
0.6%
Other values (162) 162
93.6%
2023-12-13T04:43:00.074883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 33
 
6.4%
이 23
 
4.4%
숙 21
 
4.0%
정 17
 
3.3%
영 16
 
3.1%
박 15
 
2.9%
성 12
 
2.3%
수 10
 
1.9%
최 10
 
1.9%
경 9
 
1.7%
Other values (124) 353
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 33
 
6.4%
이 23
 
4.4%
숙 21
 
4.0%
정 17
 
3.3%
영 16
 
3.1%
박 15
 
2.9%
성 12
 
2.3%
수 10
 
1.9%
최 10
 
1.9%
경 9
 
1.7%
Other values (124) 353
68.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 33
 
6.4%
이 23
 
4.4%
숙 21
 
4.0%
정 17
 
3.3%
영 16
 
3.1%
박 15
 
2.9%
성 12
 
2.3%
수 10
 
1.9%
최 10
 
1.9%
경 9
 
1.7%
Other values (124) 353
68.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 33
 
6.4%
이 23
 
4.4%
숙 21
 
4.0%
정 17
 
3.3%
영 16
 
3.1%
박 15
 
2.9%
성 12
 
2.3%
수 10
 
1.9%
최 10
 
1.9%
경 9
 
1.7%
Other values (124) 353
68.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-09-07
173 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-07
2nd row2023-09-07
3rd row2023-09-07
4th row2023-09-07
5th row2023-09-07

Common Values

ValueCountFrequency (%)
2023-09-07 173
100.0%

Length

2023-12-13T04:43:00.263784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:43:00.758362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-07 173
100.0%

Missing values

2023-12-13T04:42:56.982661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:42:57.133820image/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

업소명주소전화번호대표명데이터기준일자
0동광공인중개사사무소서울특별시 금천구 남부순환로 1268-3, 1층일부(가산동)02-868-6131이태상2023-09-07
1서울공인중개사사무소서울특별시 금천구 남부순환로112길 14, 101호(가산동)02-858-5114김정희2023-09-07
2신세계공인중개사사무소서울특별시 금천구 시흥대로153길 82(가산동)02-858-8988김천회2023-09-07
3써니공인중개사사무소서울특별시 금천구 두산로9길 51(가산동)02-851-0050이수현2023-09-07
4한솔공인중개사사무소서울특별시 금천구 가산로3길 78(가산동)02-857-5600윤양기2023-09-07
5네이버공인중개사사무소서울특별시 금천구 가산로5길 69(가산동)02-855-8080최영호2023-09-07
6햇살공인중개사사무소서울특별시 금천구 가산로7길 6 (가산동)02-852-4300이헌석2023-09-07
7램킨푸르지오공인중개사사무소서울특별시 금천구 벚꽃로56길 182, 상가107호(가산동)02-862-1133오주용2023-09-07
8IT공인중개사사무소서울특별시 금천구 벚꽃로 198-1(가산동)02-859-7707임병대2023-09-07
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