Overview

Dataset statistics

Number of variables6
Number of observations1439
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.6 KiB
Average record size in memory48.1 B

Variable types

Categorical2
Text4

Dataset

Description강원도 내 부동산 중개업 정보(상호, 소재지, 전화번호)
Author강원도
URLhttps://www.data.go.kr/data/3075996/fileData.do

Alerts

상태 has constant value ""Constant

Reproduction

Analysis started2023-12-12 06:58:32.241677
Analysis finished2023-12-12 06:58:32.920898
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct18
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
원주시
461 
춘천시
318 
강릉시
165 
평창군
78 
속초시
66 
Other values (13)
351 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원주시 461
32.0%
춘천시 318
22.1%
강릉시 165
 
11.5%
평창군 78
 
5.4%
속초시 66
 
4.6%
횡성군 64
 
4.4%
홍천군 43
 
3.0%
철원군 38
 
2.6%
동해시 35
 
2.4%
삼척시 32
 
2.2%
Other values (8) 139
 
9.7%

Length

2023-12-12T15:58:32.983264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시 461
32.0%
춘천시 318
22.1%
강릉시 165
 
11.5%
평창군 78
 
5.4%
속초시 66
 
4.6%
횡성군 64
 
4.4%
홍천군 43
 
3.0%
철원군 38
 
2.6%
동해시 35
 
2.4%
삼척시 32
 
2.2%
Other values (8) 139
 
9.7%

상호
Text

Distinct1274
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:58:33.215650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length11.243919
Min length5

Characters and Unicode

Total characters16180
Distinct characters447
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1151 ?
Unique (%)80.0%

Sample

1st rowA&B 공인중개사사무소
2nd rowE 삼성부동산
3rd rowING춘천 부동산 공인중개사사무소
4th rowLBA장평공인중개사사무소
5th rowOK신성공인중개사사무소
ValueCountFrequency (%)
공인중개사사무소 149
 
9.0%
사무소 16
 
1.0%
중개인사무소 13
 
0.8%
공인중개사 9
 
0.5%
삼성공인중개사사무소 6
 
0.4%
미래공인중개사사무소 4
 
0.2%
공인중개사무소 4
 
0.2%
드림공인중개사사무소 4
 
0.2%
부동산중개사무소 4
 
0.2%
강산공인중개사사무소 4
 
0.2%
Other values (1278) 1437
87.1%
2023-12-12T15:58:33.566065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2726
16.8%
개 1447
 
8.9%
중 1443
 
8.9%
소 1426
 
8.8%
무 1414
 
8.7%
인 1403
 
8.7%
공 1308
 
8.1%
동 423
 
2.6%
산 402
 
2.5%
부 383
 
2.4%
Other values (437) 3805
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15771
97.5%
Space Separator 212
 
1.3%
Uppercase Letter 87
 
0.5%
Decimal Number 79
 
0.5%
Lowercase Letter 15
 
0.1%
Other Punctuation 7
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2726
17.3%
개 1447
9.2%
중 1443
9.1%
소 1426
9.0%
무 1414
9.0%
인 1403
8.9%
공 1308
 
8.3%
동 423
 
2.7%
산 402
 
2.5%
부 383
 
2.4%
Other values (389) 3396
21.5%
Uppercase Letter
ValueCountFrequency (%)
K 12
13.8%
O 10
11.5%
A 9
10.3%
L 8
 
9.2%
B 6
 
6.9%
P 5
 
5.7%
I 5
 
5.7%
G 4
 
4.6%
H 4
 
4.6%
E 4
 
4.6%
Other values (12) 20
23.0%
Decimal Number
ValueCountFrequency (%)
1 32
40.5%
4 12
 
15.2%
0 7
 
8.9%
2 6
 
7.6%
8 5
 
6.3%
9 5
 
6.3%
5 5
 
6.3%
6 3
 
3.8%
3 3
 
3.8%
7 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
33.3%
s 2
 
13.3%
k 2
 
13.3%
y 2
 
13.3%
t 1
 
6.7%
r 1
 
6.7%
a 1
 
6.7%
m 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
. 3
42.9%
, 1
 
14.3%
Space Separator
ValueCountFrequency (%)
212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15769
97.5%
Common 307
 
1.9%
Latin 102
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2726
17.3%
개 1447
9.2%
중 1443
9.2%
소 1426
9.0%
무 1414
9.0%
인 1403
8.9%
공 1308
 
8.3%
동 423
 
2.7%
산 402
 
2.5%
부 383
 
2.4%
Other values (387) 3394
21.5%
Latin
ValueCountFrequency (%)
K 12
 
11.8%
O 10
 
9.8%
A 9
 
8.8%
L 8
 
7.8%
B 6
 
5.9%
P 5
 
4.9%
e 5
 
4.9%
I 5
 
4.9%
G 4
 
3.9%
H 4
 
3.9%
Other values (20) 34
33.3%
Common
ValueCountFrequency (%)
212
69.1%
1 32
 
10.4%
4 12
 
3.9%
0 7
 
2.3%
2 6
 
2.0%
8 5
 
1.6%
9 5
 
1.6%
5 5
 
1.6%
6 3
 
1.0%
3 3
 
1.0%
Other values (8) 17
 
5.5%
Han
ValueCountFrequency (%)
福 1
50.0%
信 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15769
97.5%
ASCII 409
 
2.5%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2726
17.3%
개 1447
9.2%
중 1443
9.2%
소 1426
9.0%
무 1414
9.0%
인 1403
8.9%
공 1308
 
8.3%
동 423
 
2.7%
산 402
 
2.5%
부 383
 
2.4%
Other values (387) 3394
21.5%
ASCII
ValueCountFrequency (%)
212
51.8%
1 32
 
7.8%
K 12
 
2.9%
4 12
 
2.9%
O 10
 
2.4%
A 9
 
2.2%
L 8
 
2.0%
0 7
 
1.7%
2 6
 
1.5%
B 6
 
1.5%
Other values (38) 95
23.2%
CJK
ValueCountFrequency (%)
福 1
50.0%
信 1
50.0%

소재지
Text

Distinct1383
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:58:33.819635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length23.923558
Min length16

Characters and Unicode

Total characters34426
Distinct characters352
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

Unique1330 ?
Unique (%)92.4%

Sample

1st row강원도 춘천시 춘주로 162, 상가동 105호(퇴계동, 현대1차아파트)
2nd row강원도 춘천시 남산면 한치로 114
3rd row강원도 춘천시 퇴계로 175 (퇴계동)
4th row강원도 춘천시 후석로 315, 7호(후평동, 동보상가)
5th row강원도 춘천시 근화길15번길 22, 상가동 103호(근화동, 신성미소지움아파트)
ValueCountFrequency (%)
강원도 1438
 
19.7%
원주시 460
 
6.3%
춘천시 318
 
4.4%
강릉시 165
 
2.3%
상가동 134
 
1.8%
평창군 78
 
1.1%
교동 74
 
1.0%
속초시 66
 
0.9%
횡성군 64
 
0.9%
홍천군 44
 
0.6%
Other values (1904) 4442
61.0%
2023-12-12T15:58:34.266909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5920
 
17.2%
원 2104
 
6.1%
강 1715
 
5.0%
도 1443
 
4.2%
1 1354
 
3.9%
동 1256
 
3.6%
로 1142
 
3.3%
시 1136
 
3.3%
( 978
 
2.8%
) 978
 
2.8%
Other values (342) 16400
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20279
58.9%
Space Separator 5920
 
17.2%
Decimal Number 5468
 
15.9%
Open Punctuation 978
 
2.8%
Close Punctuation 978
 
2.8%
Other Punctuation 522
 
1.5%
Dash Punctuation 276
 
0.8%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2104
 
10.4%
강 1715
 
8.5%
도 1443
 
7.1%
동 1256
 
6.2%
로 1142
 
5.6%
시 1136
 
5.6%
천 547
 
2.7%
주 527
 
2.6%
길 440
 
2.2%
춘 377
 
1.9%
Other values (324) 9592
47.3%
Decimal Number
ValueCountFrequency (%)
1 1354
24.8%
2 795
14.5%
4 535
 
9.8%
0 529
 
9.7%
3 525
 
9.6%
5 402
 
7.4%
6 364
 
6.7%
8 362
 
6.6%
7 321
 
5.9%
9 281
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 521
99.8%
@ 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
5920
100.0%
Open Punctuation
ValueCountFrequency (%)
( 978
100.0%
Close Punctuation
ValueCountFrequency (%)
) 978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20279
58.9%
Common 14142
41.1%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2104
 
10.4%
강 1715
 
8.5%
도 1443
 
7.1%
동 1256
 
6.2%
로 1142
 
5.6%
시 1136
 
5.6%
천 547
 
2.7%
주 527
 
2.6%
길 440
 
2.2%
춘 377
 
1.9%
Other values (324) 9592
47.3%
Common
ValueCountFrequency (%)
5920
41.9%
1 1354
 
9.6%
( 978
 
6.9%
) 978
 
6.9%
2 795
 
5.6%
4 535
 
3.8%
0 529
 
3.7%
3 525
 
3.7%
, 521
 
3.7%
5 402
 
2.8%
Other values (6) 1605
 
11.3%
Latin
ValueCountFrequency (%)
B 4
80.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20279
58.9%
ASCII 14147
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5920
41.8%
1 1354
 
9.6%
( 978
 
6.9%
) 978
 
6.9%
2 795
 
5.6%
4 535
 
3.8%
0 529
 
3.7%
3 525
 
3.7%
, 521
 
3.7%
5 402
 
2.8%
Other values (8) 1610
 
11.4%
Hangul
ValueCountFrequency (%)
원 2104
 
10.4%
강 1715
 
8.5%
도 1443
 
7.1%
동 1256
 
6.2%
로 1142
 
5.6%
시 1136
 
5.6%
천 547
 
2.7%
주 527
 
2.6%
길 440
 
2.2%
춘 377
 
1.9%
Other values (324) 9592
47.3%

대표자
Text

Distinct1376
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:58:34.637312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9979152
Min length2

Characters and Unicode

Total characters4314
Distinct characters212
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1327 ?
Unique (%)92.2%

Sample

1st row박설란
2nd row어진용
3rd row노사열
4th row장병호
5th row박남서
ValueCountFrequency (%)
이명숙 4
 
0.3%
이인숙 4
 
0.3%
이경희 4
 
0.3%
김명숙 4
 
0.3%
김영숙 3
 
0.2%
김성환 3
 
0.2%
이영순 3
 
0.2%
김미숙 3
 
0.2%
김미경 3
 
0.2%
이영희 3
 
0.2%
Other values (1367) 1406
97.6%
2023-12-12T15:58:35.224169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 305
 
7.1%
이 232
 
5.4%
정 149
 
3.5%
영 126
 
2.9%
박 108
 
2.5%
최 84
 
1.9%
숙 80
 
1.9%
희 78
 
1.8%
경 77
 
1.8%
순 75
 
1.7%
Other values (202) 3000
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4313
> 99.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 305
 
7.1%
이 232
 
5.4%
정 149
 
3.5%
영 126
 
2.9%
박 108
 
2.5%
최 84
 
1.9%
숙 80
 
1.9%
희 78
 
1.8%
경 77
 
1.8%
순 75
 
1.7%
Other values (201) 2999
69.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4313
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 305
 
7.1%
이 232
 
5.4%
정 149
 
3.5%
영 126
 
2.9%
박 108
 
2.5%
최 84
 
1.9%
숙 80
 
1.9%
희 78
 
1.8%
경 77
 
1.8%
순 75
 
1.7%
Other values (201) 2999
69.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4313
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 305
 
7.1%
이 232
 
5.4%
정 149
 
3.5%
영 126
 
2.9%
박 108
 
2.5%
최 84
 
1.9%
숙 80
 
1.9%
희 78
 
1.8%
경 77
 
1.8%
순 75
 
1.7%
Other values (201) 2999
69.5%
ASCII
ValueCountFrequency (%)
1
100.0%

전화번호
Text

Distinct1431
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:58:35.519383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length12
Mean length13.062543
Min length8

Characters and Unicode

Total characters18797
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1423 ?
Unique (%)98.9%

Sample

1st row033-255-0066
2nd row033-261-0014
3rd row033-264-0048
4th row033-242-6262
5th row033-244-9600/0128
ValueCountFrequency (%)
033-764-5989 2
 
0.1%
033-643-0778 2
 
0.1%
033-764-4404 2
 
0.1%
033-256-1611 2
 
0.1%
033-253-8942 2
 
0.1%
033-732-4664 2
 
0.1%
033-458-0222 2
 
0.1%
033-435-6097 2
 
0.1%
033-257-5075 2
 
0.1%
033-535-2966 1
 
0.1%
Other values (1435) 1435
98.7%
2023-12-12T15:58:35.908170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4133
22.0%
- 3018
16.1%
0 2477
13.2%
4 1589
 
8.5%
5 1291
 
6.9%
6 1237
 
6.6%
2 1186
 
6.3%
7 1177
 
6.3%
8 930
 
4.9%
9 778
 
4.1%
Other values (3) 981
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15557
82.8%
Dash Punctuation 3018
 
16.1%
Other Punctuation 187
 
1.0%
Space Separator 35
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4133
26.6%
0 2477
15.9%
4 1589
 
10.2%
5 1291
 
8.3%
6 1237
 
8.0%
2 1186
 
7.6%
7 1177
 
7.6%
8 930
 
6.0%
9 778
 
5.0%
1 759
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 3018
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 187
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18797
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4133
22.0%
- 3018
16.1%
0 2477
13.2%
4 1589
 
8.5%
5 1291
 
6.9%
6 1237
 
6.6%
2 1186
 
6.3%
7 1177
 
6.3%
8 930
 
4.9%
9 778
 
4.1%
Other values (3) 981
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18797
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4133
22.0%
- 3018
16.1%
0 2477
13.2%
4 1589
 
8.5%
5 1291
 
6.9%
6 1237
 
6.6%
2 1186
 
6.3%
7 1177
 
6.3%
8 930
 
4.9%
9 778
 
4.1%
Other values (3) 981
 
5.2%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
영업중
1439 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1439
100.0%

Length

2023-12-12T15:58:36.040440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:36.142563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1439
100.0%

Missing values

2023-12-12T15:58:32.790718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:58:32.884843image/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

시군상호소재지대표자전화번호상태
0춘천시A&B 공인중개사사무소강원도 춘천시 춘주로 162, 상가동 105호(퇴계동, 현대1차아파트)박설란033-255-0066영업중
1춘천시E 삼성부동산강원도 춘천시 남산면 한치로 114어진용033-261-0014영업중
2춘천시ING춘천 부동산 공인중개사사무소강원도 춘천시 퇴계로 175 (퇴계동)노사열033-264-0048영업중
3춘천시LBA장평공인중개사사무소강원도 춘천시 후석로 315, 7호(후평동, 동보상가)장병호033-242-6262영업중
4춘천시OK신성공인중개사사무소강원도 춘천시 근화길15번길 22, 상가동 103호(근화동, 신성미소지움아파트)박남서033-244-9600/0128영업중
5춘천시WE`VE & I`PARK공인중개사사무소강원도 춘천시 동면 만천로 240, 상가동 102호(두산위브아파트)심중섭033-251-9956영업중
6춘천시YES부동산공인중개사사무소강원도 춘천시 후만로 63-1 (후평동)박양희033-242-3422영업중
7춘천시e편한공인중개사사무소강원도 춘천시 영서로 2763 (우두동)박가빈033-251-9565영업중
8춘천시가나공인중개사사무소강원도 춘천시 영서로 2750 (우두동)전남숙033-255-8999영업중
9춘천시가람부동산중개사무소강원도 춘천시 세실로192번길 8-6 (후평동)허선구033-254-7588영업중
시군상호소재지대표자전화번호상태
1429양양군통일공인중개사사무소강원도 양양군 강현면 동해대로 3357김성환033-671-6718영업중
1430양양군명진공인중개사사무소강원도 양양군 강현면 동해대로 3485-10장성모033-673-9767영업중
1431양양군동방공인중개사사무소강원도 양양군 강현면 동해대로 3517서정한033-671-7959영업중
1432양양군현지공인중개사사무소강원도 양양군 양양읍 양양로 159-5김기종033-673-0069영업중
1433양양군바다공인중개사사무소강원도 양양군 양양읍 양양로 105김세자033-671-4444영업중
1434양양군머니콜공인중개사사무소강원도 양양군 강현면 동해대로 3072김문권033-672-9677영업중
1435양양군한솔공인중개사사무소강원도 양양군 양양읍 양양로 38김흥철033-673-0045영업중
1436양양군심미공인중개사사무소강원도 양양군 현북면 동해대로 1635민찬기033-673-8878영업중
1437양양군인구공인중개사사무소강원도 양양군 현남면 인구중앙길 46박영옥033-671-3999영업중
1438양양군현산공인중개사사무소강원도 양양군 양양읍 양양로 97조규택033-671-0652영업중