Overview

Dataset statistics

Number of variables6
Number of observations1041
Missing cells87
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.9 KiB
Average record size in memory48.1 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description경기도 파주시에서 영업중인 부동산중개업소에 대한 데이터로써, 중개업소명, 대표자명, 전화번호, 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15042999/fileData.do

Alerts

시군구 has constant value ""Constant
데이터 기준일 has constant value ""Constant
전화번호 has 87 (8.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:49:20.224537
Analysis finished2023-12-12 16:49:20.930349
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
경기도 파주시
1041 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시
2nd row경기도 파주시
3rd row경기도 파주시
4th row경기도 파주시
5th row경기도 파주시

Common Values

ValueCountFrequency (%)
경기도 파주시 1041
100.0%

Length

2023-12-13T01:49:21.026505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:49:21.149943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1041
50.0%
파주시 1041
50.0%

중개업소명
Text

Distinct983
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-13T01:49:21.429628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.201729
Min length7

Characters and Unicode

Total characters12702
Distinct characters438
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique944 ?
Unique (%)90.7%

Sample

1st row대장부동산1공인중개사사무소
2nd row미스터홈즈파주야당공인중개사사무소
3rd row도일공인중개사사무소
4th row파주연부동산공인중개사사무소
5th row다산공인중개사사무소
ValueCountFrequency (%)
우리공인중개사사무소 8
 
0.8%
행운공인중개사사무소 4
 
0.4%
현대공인중개사사무소 4
 
0.4%
신세계공인중개사사무소 3
 
0.3%
하나공인중개사사무소 3
 
0.3%
한라공인중개사사무소 3
 
0.3%
한진공인중개사사무소 3
 
0.3%
굿모닝공인중개사사무소 3
 
0.3%
한솔공인중개사사무소 3
 
0.3%
태양공인중개사사무소 3
 
0.3%
Other values (974) 1005
96.4%
2023-12-13T01:49:21.923377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2050
16.1%
중 1050
 
8.3%
개 1048
 
8.3%
소 1034
 
8.1%
인 1030
 
8.1%
무 1029
 
8.1%
공 1011
 
8.0%
동 356
 
2.8%
산 350
 
2.8%
부 329
 
2.6%
Other values (428) 3415
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12439
97.9%
Uppercase Letter 152
 
1.2%
Decimal Number 62
 
0.5%
Lowercase Letter 29
 
0.2%
Close Punctuation 6
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Space Separator 2
 
< 0.1%
Letter Number 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2050
16.5%
중 1050
 
8.4%
개 1048
 
8.4%
소 1034
 
8.3%
인 1030
 
8.3%
무 1029
 
8.3%
공 1011
 
8.1%
동 356
 
2.9%
산 350
 
2.8%
부 329
 
2.6%
Other values (375) 3152
25.3%
Uppercase Letter
ValueCountFrequency (%)
K 20
13.2%
G 14
 
9.2%
T 13
 
8.6%
O 11
 
7.2%
L 10
 
6.6%
A 10
 
6.6%
P 9
 
5.9%
I 9
 
5.9%
X 8
 
5.3%
R 7
 
4.6%
Other values (13) 41
27.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
37.9%
h 4
 
13.8%
v 2
 
6.9%
i 2
 
6.9%
t 2
 
6.9%
k 2
 
6.9%
p 1
 
3.4%
a 1
 
3.4%
r 1
 
3.4%
b 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 24
38.7%
4 7
 
11.3%
9 7
 
11.3%
8 6
 
9.7%
3 4
 
6.5%
0 4
 
6.5%
2 4
 
6.5%
5 3
 
4.8%
6 2
 
3.2%
7 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12438
97.9%
Latin 183
 
1.4%
Common 80
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2050
16.5%
중 1050
 
8.4%
개 1048
 
8.4%
소 1034
 
8.3%
인 1030
 
8.3%
무 1029
 
8.3%
공 1011
 
8.1%
동 356
 
2.9%
산 350
 
2.8%
부 329
 
2.6%
Other values (374) 3151
25.3%
Latin
ValueCountFrequency (%)
K 20
 
10.9%
G 14
 
7.7%
T 13
 
7.1%
e 11
 
6.0%
O 11
 
6.0%
L 10
 
5.5%
A 10
 
5.5%
P 9
 
4.9%
I 9
 
4.9%
X 8
 
4.4%
Other values (26) 68
37.2%
Common
ValueCountFrequency (%)
1 24
30.0%
4 7
 
8.8%
9 7
 
8.8%
) 6
 
7.5%
8 6
 
7.5%
( 5
 
6.2%
3 4
 
5.0%
0 4
 
5.0%
2 4
 
5.0%
5 3
 
3.8%
Other values (7) 10
12.5%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12438
97.9%
ASCII 261
 
2.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2050
16.5%
중 1050
 
8.4%
개 1048
 
8.4%
소 1034
 
8.3%
인 1030
 
8.3%
무 1029
 
8.3%
공 1011
 
8.1%
동 356
 
2.9%
산 350
 
2.8%
부 329
 
2.6%
Other values (374) 3151
25.3%
ASCII
ValueCountFrequency (%)
1 24
 
9.2%
K 20
 
7.7%
G 14
 
5.4%
T 13
 
5.0%
e 11
 
4.2%
O 11
 
4.2%
L 10
 
3.8%
A 10
 
3.8%
P 9
 
3.4%
I 9
 
3.4%
Other values (42) 130
49.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
新 1
100.0%

대표자명
Text

Distinct1015
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-13T01:49:22.271474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9923151
Min length2

Characters and Unicode

Total characters3115
Distinct characters201
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

Unique990 ?
Unique (%)95.1%

Sample

1st row전정이
2nd row이혜승
3rd row김정림
4th row임주연
5th row최금평
ValueCountFrequency (%)
김미숙 3
 
0.3%
김희숙 2
 
0.2%
유경숙 2
 
0.2%
김윤희 2
 
0.2%
박순옥 2
 
0.2%
김미선 2
 
0.2%
이영란 2
 
0.2%
김지선 2
 
0.2%
이경숙 2
 
0.2%
이선영 2
 
0.2%
Other values (1005) 1020
98.0%
2023-12-13T01:49:22.770386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 198
 
6.4%
이 165
 
5.3%
정 132
 
4.2%
영 101
 
3.2%
박 79
 
2.5%
숙 75
 
2.4%
경 73
 
2.3%
미 73
 
2.3%
희 70
 
2.2%
현 63
 
2.0%
Other values (191) 2086
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3115
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 198
 
6.4%
이 165
 
5.3%
정 132
 
4.2%
영 101
 
3.2%
박 79
 
2.5%
숙 75
 
2.4%
경 73
 
2.3%
미 73
 
2.3%
희 70
 
2.2%
현 63
 
2.0%
Other values (191) 2086
67.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3115
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 198
 
6.4%
이 165
 
5.3%
정 132
 
4.2%
영 101
 
3.2%
박 79
 
2.5%
숙 75
 
2.4%
경 73
 
2.3%
미 73
 
2.3%
희 70
 
2.2%
현 63
 
2.0%
Other values (191) 2086
67.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3115
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 198
 
6.4%
이 165
 
5.3%
정 132
 
4.2%
영 101
 
3.2%
박 79
 
2.5%
숙 75
 
2.4%
경 73
 
2.3%
미 73
 
2.3%
희 70
 
2.2%
현 63
 
2.0%
Other values (191) 2086
67.0%

전화번호
Text

MISSING 

Distinct925
Distinct (%)97.0%
Missing87
Missing (%)8.4%
Memory size8.3 KiB
2023-12-13T01:49:22.981411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.996855
Min length9

Characters and Unicode

Total characters11445
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

Unique896 ?
Unique (%)93.9%

Sample

1st row031-937-8882
2nd row031-943-8123
3rd row031-949-8823
4th row031-954-6300
5th row031-943-3800
ValueCountFrequency (%)
031-949-0170 2
 
0.2%
031-946-2242 2
 
0.2%
031-949-2698 2
 
0.2%
031-947-4455 2
 
0.2%
031-954-0040 2
 
0.2%
031-947-4418 2
 
0.2%
031-946-0747 2
 
0.2%
031-954-8500 2
 
0.2%
031-957-0660 2
 
0.2%
031-946-0894 2
 
0.2%
Other values (915) 934
97.9%
2023-12-13T01:49:23.316118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1904
16.6%
0 1861
16.3%
9 1444
12.6%
1 1371
12.0%
3 1360
11.9%
4 1215
10.6%
5 629
 
5.5%
8 542
 
4.7%
7 443
 
3.9%
2 378
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9541
83.4%
Dash Punctuation 1904
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1861
19.5%
9 1444
15.1%
1 1371
14.4%
3 1360
14.3%
4 1215
12.7%
5 629
 
6.6%
8 542
 
5.7%
7 443
 
4.6%
2 378
 
4.0%
6 298
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 1904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1904
16.6%
0 1861
16.3%
9 1444
12.6%
1 1371
12.0%
3 1360
11.9%
4 1215
10.6%
5 629
 
5.5%
8 542
 
4.7%
7 443
 
3.9%
2 378
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1904
16.6%
0 1861
16.3%
9 1444
12.6%
1 1371
12.0%
3 1360
11.9%
4 1215
10.6%
5 629
 
5.5%
8 542
 
4.7%
7 443
 
3.9%
2 378
 
3.3%

주소
Text

Distinct988
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-13T01:49:23.550932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length27.038425
Min length19

Characters and Unicode

Total characters28147
Distinct characters279
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

Unique940 ?
Unique (%)90.3%

Sample

1st row경기도 파주시 청암로 82 근생2동 207호(다율동)
2nd row경기도 파주시 경의로 1024 116호(야당동)
3rd row경기도 파주시 중앙로 304-2 2층(금촌동)
4th row경기도 파주시 탄현면 방촌로 615 가동 1층
5th row경기도 파주시 앞골길 318-6 (아동동)
ValueCountFrequency (%)
경기도 1041
 
18.0%
파주시 1041
 
18.0%
문산읍 103
 
1.8%
탄현면 92
 
1.6%
상가동 81
 
1.4%
조리읍 80
 
1.4%
교하로 71
 
1.2%
월롱면 50
 
0.9%
파주읍 49
 
0.8%
심학산로 42
 
0.7%
Other values (1188) 3147
54.3%
2023-12-13T01:49:23.957559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4779
 
17.0%
1 1642
 
5.8%
동 1380
 
4.9%
파 1126
 
4.0%
주 1118
 
4.0%
경 1104
 
3.9%
기 1066
 
3.8%
시 1065
 
3.8%
도 1051
 
3.7%
) 963
 
3.4%
Other values (269) 12853
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15960
56.7%
Decimal Number 5237
 
18.6%
Space Separator 4779
 
17.0%
Close Punctuation 963
 
3.4%
Open Punctuation 963
 
3.4%
Dash Punctuation 163
 
0.6%
Other Punctuation 46
 
0.2%
Uppercase Letter 36
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1380
 
8.6%
파 1126
 
7.1%
주 1118
 
7.0%
경 1104
 
6.9%
기 1066
 
6.7%
시 1065
 
6.7%
도 1051
 
6.6%
로 880
 
5.5%
호 479
 
3.0%
읍 331
 
2.1%
Other values (247) 6360
39.8%
Decimal Number
ValueCountFrequency (%)
1 1642
31.4%
0 774
14.8%
2 579
 
11.1%
3 418
 
8.0%
4 396
 
7.6%
5 366
 
7.0%
6 287
 
5.5%
7 281
 
5.4%
8 256
 
4.9%
9 238
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 19
52.8%
A 11
30.6%
D 2
 
5.6%
L 2
 
5.6%
C 1
 
2.8%
E 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 42
91.3%
@ 4
 
8.7%
Space Separator
ValueCountFrequency (%)
4779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 963
100.0%
Open Punctuation
ValueCountFrequency (%)
( 963
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15960
56.7%
Common 12151
43.2%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1380
 
8.6%
파 1126
 
7.1%
주 1118
 
7.0%
경 1104
 
6.9%
기 1066
 
6.7%
시 1065
 
6.7%
도 1051
 
6.6%
로 880
 
5.5%
호 479
 
3.0%
읍 331
 
2.1%
Other values (247) 6360
39.8%
Common
ValueCountFrequency (%)
4779
39.3%
1 1642
 
13.5%
) 963
 
7.9%
( 963
 
7.9%
0 774
 
6.4%
2 579
 
4.8%
3 418
 
3.4%
4 396
 
3.3%
5 366
 
3.0%
6 287
 
2.4%
Other values (6) 984
 
8.1%
Latin
ValueCountFrequency (%)
B 19
52.8%
A 11
30.6%
D 2
 
5.6%
L 2
 
5.6%
C 1
 
2.8%
E 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15960
56.7%
ASCII 12187
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4779
39.2%
1 1642
 
13.5%
) 963
 
7.9%
( 963
 
7.9%
0 774
 
6.4%
2 579
 
4.8%
3 418
 
3.4%
4 396
 
3.2%
5 366
 
3.0%
6 287
 
2.4%
Other values (12) 1020
 
8.4%
Hangul
ValueCountFrequency (%)
동 1380
 
8.6%
파 1126
 
7.1%
주 1118
 
7.0%
경 1104
 
6.9%
기 1066
 
6.7%
시 1065
 
6.7%
도 1051
 
6.6%
로 880
 
5.5%
호 479
 
3.0%
읍 331
 
2.1%
Other values (247) 6360
39.8%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2023-05-10 00:00:00
Maximum2023-05-10 00:00:00
2023-12-13T01:49:24.073445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:49:24.173059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T01:49:20.760216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:49:20.875936image/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

시군구중개업소명대표자명전화번호주소데이터 기준일
0경기도 파주시대장부동산1공인중개사사무소전정이<NA>경기도 파주시 청암로 82 근생2동 207호(다율동)2023-05-10
1경기도 파주시미스터홈즈파주야당공인중개사사무소이혜승031-937-8882경기도 파주시 경의로 1024 116호(야당동)2023-05-10
2경기도 파주시도일공인중개사사무소김정림<NA>경기도 파주시 중앙로 304-2 2층(금촌동)2023-05-10
3경기도 파주시파주연부동산공인중개사사무소임주연031-943-8123경기도 파주시 탄현면 방촌로 615 가동 1층2023-05-10
4경기도 파주시다산공인중개사사무소최금평031-949-8823경기도 파주시 앞골길 318-6 (아동동)2023-05-10
5경기도 파주시미소로공인중개사사무소김재성031-954-6300경기도 파주시 새꽃로 115 1층(금촌동)2023-05-10
6경기도 파주시장안공인중개사사무소조경행031-943-3800경기도 파주시 문화로 45 1층(금촌동)2023-05-10
7경기도 파주시정석공인중개사사무소황기현031-943-0600경기도 파주시 조리읍 통일로 426 1층2023-05-10
8경기도 파주시글로리아공인중개사김태준031-947-1800경기도 파주시 광탄면 동거리길 32 (광탄면)2023-05-10
9경기도 파주시한진공인중개사사무소김윤식031-953-7784경기도 파주시 문산읍 문향로 28 (문산읍)2023-05-10
시군구중개업소명대표자명전화번호주소데이터 기준일
1031경기도 파주시이지부동산중개한경희<NA>경기도 파주시 청석로 262 604호(동패동)2023-05-10
1032경기도 파주시운정중흥탑부동산공인중개사사무소김미선031-949-8484경기도 파주시 심학산로 234 상가동 107호(동패동)2023-05-10
1033경기도 파주시샘물공인중개사사무소이호진031-957-5100경기도 파주시 번영로 55 분산상가동 101호(금촌동)2023-05-10
1034경기도 파주시운정한마음공인중개사사무소우기영031-948-4400경기도 파주시 가람로116번길 128 상가동 106호(와동동)2023-05-10
1035경기도 파주시세븐공인중개사사무소강지윤031-944-6363경기도 파주시 와석순환로 61 부출입상가동 101호(야당동)2023-05-10
1036경기도 파주시주식회사큰길부동산중개법인이경렬031-945-7506경기도 파주시 경의로1240번길 37-1 604호(와동동)2023-05-10
1037경기도 파주시청학공인중개사사무소한의석031-941-5351경기도 파주시 문화로 49 101호(금촌동)2023-05-10
1038경기도 파주시OK파트너스공인중개사사무소김대준<NA>경기도 파주시 경의로 1068 601호(야당동)2023-05-10
1039경기도 파주시대지공인중개사사무소김도현031-942-1003경기도 파주시 탄현면 방촌로 1053 (탄현면)2023-05-10
1040경기도 파주시라온부동산공인중개사사무소전찬욱1644-2643경기도 파주시 검산로 229 1층(검산동)2023-05-10