Overview

Dataset statistics

Number of variables7
Number of observations458
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory56.3 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description강원특별자치도 춘천시 부동산중개업소에 대한 데이터로 소재지, 사무소명, 등록번호, 중개사 구분, 중개업자명, 도로명 주소 등의 항목을 제공합니다.
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15123052/fileData.do

Alerts

시군구 has constant value ""Constant
데이터기준일 has constant value ""Constant
중개사 구분 is highly imbalanced (86.4%)Imbalance
사무소명 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:05:06.541524
Analysis finished2024-04-17 11:05:07.030112
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
강원특별자치도 춘천시
458 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원특별자치도 춘천시
2nd row강원특별자치도 춘천시
3rd row강원특별자치도 춘천시
4th row강원특별자치도 춘천시
5th row강원특별자치도 춘천시

Common Values

ValueCountFrequency (%)
강원특별자치도 춘천시 458
100.0%

Length

2024-04-17T20:05:07.076539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:05:07.144573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 458
50.0%
춘천시 458
50.0%

사무소명
Text

UNIQUE 

Distinct458
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-17T20:05:07.320493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length12.20524
Min length7

Characters and Unicode

Total characters5590
Distinct characters316
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique458 ?
Unique (%)100.0%

Sample

1st rowE 삼성부동산중개사무소
2nd row사랑방부동산중개인
3rd row서면부동산중개인
4th row신경기부동산중개인
5th row대자연부동산중개사무소
ValueCountFrequency (%)
공인중개사사무소 13
 
2.7%
부동산 2
 
0.4%
e 1
 
0.2%
티티부동산공인중개사사무소 1
 
0.2%
삼천동공인중개사사무소 1
 
0.2%
알짜부동산공인중개사사무소 1
 
0.2%
만석공인중개사사무소 1
 
0.2%
부동산파워공인중개사사무소 1
 
0.2%
그랜드공인중개사사무소 1
 
0.2%
한숲금토부동산공인중개사사무소 1
 
0.2%
Other values (453) 453
95.2%
2024-04-17T20:05:07.649119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 893
16.0%
개 461
 
8.2%
중 459
 
8.2%
소 455
 
8.1%
무 451
 
8.1%
인 445
 
8.0%
공 436
 
7.8%
동 280
 
5.0%
산 274
 
4.9%
부 273
 
4.9%
Other values (306) 1163
20.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5533
99.0%
Uppercase Letter 20
 
0.4%
Space Separator 18
 
0.3%
Decimal Number 14
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 893
16.1%
개 461
8.3%
중 459
8.3%
소 455
8.2%
무 451
8.2%
인 445
8.0%
공 436
 
7.9%
동 280
 
5.1%
산 274
 
5.0%
부 273
 
4.9%
Other values (283) 1106
20.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
20.0%
I 3
15.0%
C 2
10.0%
L 2
10.0%
V 1
 
5.0%
P 1
 
5.0%
E 1
 
5.0%
A 1
 
5.0%
B 1
 
5.0%
Y 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
3 3
21.4%
9 2
 
14.3%
2 2
 
14.3%
8 1
 
7.1%
7 1
 
7.1%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5531
98.9%
Common 36
 
0.6%
Latin 21
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 893
16.1%
개 461
8.3%
중 459
8.3%
소 455
8.2%
무 451
8.2%
인 445
8.0%
공 436
 
7.9%
동 280
 
5.1%
산 274
 
5.0%
부 273
 
4.9%
Other values (282) 1104
20.0%
Latin
ValueCountFrequency (%)
K 4
19.0%
I 3
14.3%
C 2
9.5%
L 2
9.5%
V 1
 
4.8%
P 1
 
4.8%
E 1
 
4.8%
e 1
 
4.8%
A 1
 
4.8%
B 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
18
50.0%
1 5
 
13.9%
3 3
 
8.3%
( 2
 
5.6%
9 2
 
5.6%
2 2
 
5.6%
) 2
 
5.6%
8 1
 
2.8%
7 1
 
2.8%
Han
ValueCountFrequency (%)
愛 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5531
98.9%
ASCII 57
 
1.0%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 893
16.1%
개 461
8.3%
중 459
8.3%
소 455
8.2%
무 451
8.2%
인 445
8.0%
공 436
 
7.9%
동 280
 
5.1%
산 274
 
5.0%
부 273
 
4.9%
Other values (282) 1104
20.0%
ASCII
ValueCountFrequency (%)
18
31.6%
1 5
 
8.8%
K 4
 
7.0%
I 3
 
5.3%
3 3
 
5.3%
( 2
 
3.5%
9 2
 
3.5%
2 2
 
3.5%
) 2
 
3.5%
C 2
 
3.5%
Other values (13) 14
24.6%
CJK
ValueCountFrequency (%)
愛 2
100.0%

등록번호
Text

UNIQUE 

Distinct458
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-17T20:05:07.846993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.668122
Min length9

Characters and Unicode

Total characters6260
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique458 ?
Unique (%)100.0%

Sample

1st row나3702-0010
2nd row가3702-0206
3rd row나3720-0011
4th row가3702-0259
5th row가3702-0298
ValueCountFrequency (%)
나3702-0010 1
 
0.2%
42110-2020-00002 1
 
0.2%
42110-2019-00043 1
 
0.2%
42110-2019-00042 1
 
0.2%
42110-2019-00040 1
 
0.2%
42110-2019-00039 1
 
0.2%
42110-2019-00038 1
 
0.2%
42110-2019-00036 1
 
0.2%
42110-2019-00035 1
 
0.2%
42110-2019-00034 1
 
0.2%
Other values (448) 448
97.8%
2024-04-17T20:05:08.144685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1801
28.8%
2 1045
16.7%
1 990
15.8%
- 739
11.8%
4 400
 
6.4%
3 338
 
5.4%
7 248
 
4.0%
가 174
 
2.8%
5 154
 
2.5%
6 144
 
2.3%
Other values (3) 227
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5344
85.4%
Dash Punctuation 739
 
11.8%
Other Letter 177
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1801
33.7%
2 1045
19.6%
1 990
18.5%
4 400
 
7.5%
3 338
 
6.3%
7 248
 
4.6%
5 154
 
2.9%
6 144
 
2.7%
8 115
 
2.2%
9 109
 
2.0%
Other Letter
ValueCountFrequency (%)
가 174
98.3%
나 3
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 739
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6083
97.2%
Hangul 177
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1801
29.6%
2 1045
17.2%
1 990
16.3%
- 739
12.1%
4 400
 
6.6%
3 338
 
5.6%
7 248
 
4.1%
5 154
 
2.5%
6 144
 
2.4%
8 115
 
1.9%
Hangul
ValueCountFrequency (%)
가 174
98.3%
나 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6083
97.2%
Hangul 177
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1801
29.6%
2 1045
17.2%
1 990
16.3%
- 739
12.1%
4 400
 
6.6%
3 338
 
5.6%
7 248
 
4.1%
5 154
 
2.5%
6 144
 
2.4%
8 115
 
1.9%
Hangul
ValueCountFrequency (%)
가 174
98.3%
나 3
 
1.7%

중개사 구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
공인중개사
444 
중개인
 
12
법인
 
2

Length

Max length5
Median length5
Mean length4.9344978
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 444
96.9%
중개인 12
 
2.6%
법인 2
 
0.4%

Length

2024-04-17T20:05:08.263848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:05:08.347902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 444
96.9%
중개인 12
 
2.6%
법인 2
 
0.4%

중개업자명
Text

Distinct453
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-17T20:05:08.599608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9956332
Min length2

Characters and Unicode

Total characters1372
Distinct characters169
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

Unique449 ?
Unique (%)98.0%

Sample

1st row어진용
2nd row김옥자
3rd row최병지
4th row임영철
5th row김현환
ValueCountFrequency (%)
이미자 3
 
0.7%
이경희 2
 
0.4%
장영미 2
 
0.4%
이광호 2
 
0.4%
신상호 1
 
0.2%
이호선 1
 
0.2%
장나교 1
 
0.2%
박달화 1
 
0.2%
김희자 1
 
0.2%
변미란 1
 
0.2%
Other values (443) 443
96.7%
2024-04-17T20:05:08.983413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 89
 
6.5%
이 77
 
5.6%
영 46
 
3.4%
정 39
 
2.8%
경 38
 
2.8%
박 37
 
2.7%
최 35
 
2.6%
희 35
 
2.6%
현 30
 
2.2%
숙 24
 
1.7%
Other values (159) 922
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1372
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 89
 
6.5%
이 77
 
5.6%
영 46
 
3.4%
정 39
 
2.8%
경 38
 
2.8%
박 37
 
2.7%
최 35
 
2.6%
희 35
 
2.6%
현 30
 
2.2%
숙 24
 
1.7%
Other values (159) 922
67.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1372
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 89
 
6.5%
이 77
 
5.6%
영 46
 
3.4%
정 39
 
2.8%
경 38
 
2.8%
박 37
 
2.7%
최 35
 
2.6%
희 35
 
2.6%
현 30
 
2.2%
숙 24
 
1.7%
Other values (159) 922
67.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1372
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 89
 
6.5%
이 77
 
5.6%
영 46
 
3.4%
정 39
 
2.8%
경 38
 
2.8%
박 37
 
2.7%
최 35
 
2.6%
희 35
 
2.6%
현 30
 
2.2%
숙 24
 
1.7%
Other values (159) 922
67.2%

도로명주소
Text

Distinct450
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-17T20:05:09.261517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length30.259825
Min length18

Characters and Unicode

Total characters13859
Distinct characters230
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique442 ?
Unique (%)96.5%

Sample

1st row강원특별자치도 춘천시 남산면 한치로 114
2nd row강원특별자치도 춘천시 영서로 2764 (우두동)
3rd row강원특별자치도 춘천시 서면 박사로 923
4th row강원특별자치도 춘천시 금강로 66-1 2층(조양동)
5th row강원특별자치도 춘천시 사북면 춘화로 631 1층
ValueCountFrequency (%)
강원특별자치도 458
 
17.2%
춘천시 458
 
17.2%
1층 95
 
3.6%
상가동 69
 
2.6%
후평동 33
 
1.2%
방송길 32
 
1.2%
동내면 25
 
0.9%
퇴계로 24
 
0.9%
퇴계동 23
 
0.9%
안마산로 22
 
0.8%
Other values (643) 1420
53.4%
2024-04-17T20:05:09.683021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2278
 
16.4%
1 732
 
5.3%
춘 556
 
4.0%
천 541
 
3.9%
자 481
 
3.5%
시 481
 
3.5%
강 467
 
3.4%
원 464
 
3.3%
치 461
 
3.3%
특 458
 
3.3%
Other values (220) 6940
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8697
62.8%
Space Separator 2278
 
16.4%
Decimal Number 2242
 
16.2%
Open Punctuation 233
 
1.7%
Close Punctuation 233
 
1.7%
Dash Punctuation 74
 
0.5%
Other Punctuation 73
 
0.5%
Uppercase Letter 27
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
춘 556
 
6.4%
천 541
 
6.2%
자 481
 
5.5%
시 481
 
5.5%
강 467
 
5.4%
원 464
 
5.3%
치 461
 
5.3%
특 458
 
5.3%
별 458
 
5.3%
도 458
 
5.3%
Other values (199) 3872
44.5%
Decimal Number
ValueCountFrequency (%)
1 732
32.6%
2 296
13.2%
0 273
 
12.2%
3 172
 
7.7%
4 161
 
7.2%
6 133
 
5.9%
5 131
 
5.8%
7 129
 
5.8%
8 122
 
5.4%
9 93
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
40.7%
A 10
37.0%
C 4
 
14.8%
K 1
 
3.7%
G 1
 
3.7%
Space Separator
ValueCountFrequency (%)
2278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 73
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8697
62.8%
Common 5133
37.0%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
춘 556
 
6.4%
천 541
 
6.2%
자 481
 
5.5%
시 481
 
5.5%
강 467
 
5.4%
원 464
 
5.3%
치 461
 
5.3%
특 458
 
5.3%
별 458
 
5.3%
도 458
 
5.3%
Other values (199) 3872
44.5%
Common
ValueCountFrequency (%)
2278
44.4%
1 732
 
14.3%
2 296
 
5.8%
0 273
 
5.3%
( 233
 
4.5%
) 233
 
4.5%
3 172
 
3.4%
4 161
 
3.1%
6 133
 
2.6%
5 131
 
2.6%
Other values (5) 491
 
9.6%
Latin
ValueCountFrequency (%)
B 11
37.9%
A 10
34.5%
C 4
 
13.8%
e 2
 
6.9%
K 1
 
3.4%
G 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8697
62.8%
ASCII 5162
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2278
44.1%
1 732
 
14.2%
2 296
 
5.7%
0 273
 
5.3%
( 233
 
4.5%
) 233
 
4.5%
3 172
 
3.3%
4 161
 
3.1%
6 133
 
2.6%
5 131
 
2.5%
Other values (11) 520
 
10.1%
Hangul
ValueCountFrequency (%)
춘 556
 
6.4%
천 541
 
6.2%
자 481
 
5.5%
시 481
 
5.5%
강 467
 
5.4%
원 464
 
5.3%
치 461
 
5.3%
특 458
 
5.3%
별 458
 
5.3%
도 458
 
5.3%
Other values (199) 3872
44.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2023-09-13 00:00:00
Maximum2023-09-13 00:00:00
2024-04-17T20:05:09.777871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:05:09.875499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-04-17T20:05:06.904338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:05:06.993053image/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

시군구사무소명등록번호중개사 구분중개업자명도로명주소데이터기준일
0강원특별자치도 춘천시E 삼성부동산중개사무소나3702-0010중개인어진용강원특별자치도 춘천시 남산면 한치로 1142023-09-13
1강원특별자치도 춘천시사랑방부동산중개인가3702-0206중개인김옥자강원특별자치도 춘천시 영서로 2764 (우두동)2023-09-13
2강원특별자치도 춘천시서면부동산중개인나3720-0011중개인최병지강원특별자치도 춘천시 서면 박사로 9232023-09-13
3강원특별자치도 춘천시신경기부동산중개인가3702-0259중개인임영철강원특별자치도 춘천시 금강로 66-1 2층(조양동)2023-09-13
4강원특별자치도 춘천시대자연부동산중개사무소가3702-0298중개인김현환강원특별자치도 춘천시 사북면 춘화로 631 1층2023-09-13
5강원특별자치도 춘천시약사부동산중개사무소가3702-0189중개인박철환강원특별자치도 춘천시 방송길 38 (근화동)2023-09-13
6강원특별자치도 춘천시벤츠 부동산중개사무소가3702-0078중개인이장원강원특별자치도 춘천시 석사길5번길 1 1호2023-09-13
7강원특별자치도 춘천시금강공인중개사사무소가3702-0361공인중개사이명주강원특별자치도 춘천시 경춘로 2354 401호(온의동)2023-09-13
8강원특별자치도 춘천시신일부동산중개사무소가3702-0287중개인이정부강원특별자치도 춘천시 남춘로5번길 30-122023-09-13
9강원특별자치도 춘천시대명공인중개사사무소가3702-0329공인중개사정준환강원특별자치도 춘천시 영서로 30572023-09-13
시군구사무소명등록번호중개사 구분중개업자명도로명주소데이터기준일
448강원특별자치도 춘천시이음공인중개사사무소42110-2023-00022공인중개사정유림강원특별자치도 춘천시 우두1길 87 104호2023-09-13
449강원특별자치도 춘천시춘천롯데공인중개사사무소42110-2023-00023공인중개사조남묵강원특별자치도 춘천시 공지로 289 1층 103호2023-09-13
450강원특별자치도 춘천시더봄부동산공인중개사사무소51110-2023-00001공인중개사이상규강원특별자치도 춘천시 동내면 거두택지길4번길 11-5 , 101호2023-09-13
451강원특별자치도 춘천시영서부동산공인중개사사무소51110-2023-00002공인중개사이광호강원특별자치도 춘천시 백령로 1842023-09-13
452강원특별자치도 춘천시예스공인중개사사무소51110-2023-00003공인중개사유창호강원특별자치도 춘천시 세실로192번길 22023-09-13
453강원특별자치도 춘천시골든부동산공인중개사사무소51110-2023-00004공인중개사진혜은강원특별자치도 춘천시 백령로 215 , 춘천일성트루엘더퍼스트 제상가4동 제102호2023-09-13
454강원특별자치도 춘천시연합공인중개사사무소51110-2023-00005공인중개사이병덕강원특별자치도 춘천시 서면 유천길 92023-09-13
455강원특별자치도 춘천시춘천한내들공인중개사사무소51110-2023-00006공인중개사최수진강원특별자치도 춘천시 퇴계로 110 101호2023-09-13
456강원특별자치도 춘천시솔로몬부동산공인중개사사무소51110-2023-00007공인중개사정규창강원특별자치도 춘천시 공지로 163-1 1층2023-09-13
457강원특별자치도 춘천시고은공인중개사사무소51110-2023-00008공인중개사송화철강원특별자치도 춘천시 동내면 순환대로 7162023-09-13