Overview

Dataset statistics

Number of variables7
Number of observations1796
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.3 KiB
Average record size in memory56.1 B

Variable types

Text5
Categorical2

Dataset

Description서울특별시 송파구_부동산중개업소에 대한 데이터로 등록번호, 상호, 소재지, 대표자, 사무소전화번호, 상태, 데이터기준일자 등에 항목으로 제공합니다.
URLhttps://www.data.go.kr/data/15005404/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
상태 is highly imbalanced (97.5%)Imbalance
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:07:47.075602
Analysis finished2023-12-12 21:07:47.913034
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct1796
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2023-12-13T06:07:48.110412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length13.544543
Min length8

Characters and Unicode

Total characters24326
Distinct characters15
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

Unique1796 ?
Unique (%)100.0%

Sample

1st row11260-2015-00085
2nd row11710-2015-00012
3rd row11710-2015-00015
4th row11710-2015-00020
5th row11710-2015-00021
ValueCountFrequency (%)
11260-2015-00085 1
 
0.1%
11710-2023-00085 1
 
0.1%
9253-2006 1
 
0.1%
9253-1943 1
 
0.1%
9253-1873 1
 
0.1%
9253-1842 1
 
0.1%
9253-1768 1
 
0.1%
9253-1760 1
 
0.1%
9253-1749 1
 
0.1%
9253-1575 1
 
0.1%
Other values (1786) 1786
99.4%
2023-12-13T06:07:48.771230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5644
23.2%
1 4961
20.4%
2 3469
14.3%
- 2978
12.2%
7 1752
 
7.2%
3 1248
 
5.1%
5 1199
 
4.9%
9 1195
 
4.9%
8 706
 
2.9%
6 583
 
2.4%
Other values (5) 591
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21304
87.6%
Dash Punctuation 2978
 
12.2%
Other Letter 44
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5644
26.5%
1 4961
23.3%
2 3469
16.3%
7 1752
 
8.2%
3 1248
 
5.9%
5 1199
 
5.6%
9 1195
 
5.6%
8 706
 
3.3%
6 583
 
2.7%
4 547
 
2.6%
Other Letter
ValueCountFrequency (%)
가 36
81.8%
나 6
 
13.6%
공 1
 
2.3%
다 1
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 2978
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24282
99.8%
Hangul 44
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5644
23.2%
1 4961
20.4%
2 3469
14.3%
- 2978
12.3%
7 1752
 
7.2%
3 1248
 
5.1%
5 1199
 
4.9%
9 1195
 
4.9%
8 706
 
2.9%
6 583
 
2.4%
Hangul
ValueCountFrequency (%)
가 36
81.8%
나 6
 
13.6%
공 1
 
2.3%
다 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24282
99.8%
Hangul 44
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5644
23.2%
1 4961
20.4%
2 3469
14.3%
- 2978
12.3%
7 1752
 
7.2%
3 1248
 
5.1%
5 1199
 
4.9%
9 1195
 
4.9%
8 706
 
2.9%
6 583
 
2.4%
Hangul
ValueCountFrequency (%)
가 36
81.8%
나 6
 
13.6%
공 1
 
2.3%
다 1
 
2.3%

상호
Text

Distinct1240
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2023-12-13T06:07:48.995890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length10
Mean length11.288976
Min length6

Characters and Unicode

Total characters20275
Distinct characters458
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1050 ?
Unique (%)58.5%

Sample

1st row송파아이파크부동산공인중개사사무소
2nd row한양공인중개사사무소
3rd row우리공인중개사사무소
4th row명진공인중개사사무소
5th row잠실부동산공인중개사사무소
ValueCountFrequency (%)
주식회사 25
 
1.4%
삼성공인중개사사무소 23
 
1.3%
현대공인중개사사무소 22
 
1.2%
우리공인중개사사무소 16
 
0.9%
미래공인중개사사무소 16
 
0.9%
강남공인중개사사무소 12
 
0.7%
태양공인중개사사무소 11
 
0.6%
송파공인중개사사무소 11
 
0.6%
행운공인중개사사무소 11
 
0.6%
제일공인중개사사무소 10
 
0.5%
Other values (1233) 1669
91.4%
2023-12-13T06:07:49.340204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 3391
16.7%
중 1812
 
8.9%
개 1801
 
8.9%
인 1769
 
8.7%
소 1675
 
8.3%
무 1665
 
8.2%
공 1633
 
8.1%
동 325
 
1.6%
산 306
 
1.5%
부 302
 
1.5%
Other values (448) 5596
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19756
97.4%
Decimal Number 235
 
1.2%
Uppercase Letter 97
 
0.5%
Close Punctuation 52
 
0.3%
Open Punctuation 52
 
0.3%
Dash Punctuation 32
 
0.2%
Space Separator 31
 
0.2%
Lowercase Letter 14
 
0.1%
Other Symbol 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3391
17.2%
중 1812
 
9.2%
개 1801
 
9.1%
인 1769
 
9.0%
소 1675
 
8.5%
무 1665
 
8.4%
공 1633
 
8.3%
동 325
 
1.6%
산 306
 
1.5%
부 302
 
1.5%
Other values (402) 5077
25.7%
Uppercase Letter
ValueCountFrequency (%)
K 14
14.4%
O 10
10.3%
H 9
 
9.3%
S 9
 
9.3%
M 8
 
8.2%
T 5
 
5.2%
J 5
 
5.2%
B 5
 
5.2%
I 5
 
5.2%
L 4
 
4.1%
Other values (11) 23
23.7%
Decimal Number
ValueCountFrequency (%)
0 50
21.3%
1 48
20.4%
4 45
19.1%
8 25
10.6%
2 22
9.4%
3 13
 
5.5%
5 10
 
4.3%
9 9
 
3.8%
7 8
 
3.4%
6 5
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
57.1%
c 1
 
7.1%
h 1
 
7.1%
w 1
 
7.1%
r 1
 
7.1%
o 1
 
7.1%
f 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
· 1
33.3%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19759
97.5%
Common 405
 
2.0%
Latin 111
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3391
17.2%
중 1812
 
9.2%
개 1801
 
9.1%
인 1769
 
9.0%
소 1675
 
8.5%
무 1665
 
8.4%
공 1633
 
8.3%
동 325
 
1.6%
산 306
 
1.5%
부 302
 
1.5%
Other values (403) 5080
25.7%
Latin
ValueCountFrequency (%)
K 14
12.6%
O 10
 
9.0%
H 9
 
8.1%
S 9
 
8.1%
e 8
 
7.2%
M 8
 
7.2%
T 5
 
4.5%
J 5
 
4.5%
B 5
 
4.5%
I 5
 
4.5%
Other values (18) 33
29.7%
Common
ValueCountFrequency (%)
) 52
12.8%
( 52
12.8%
0 50
12.3%
1 48
11.9%
4 45
11.1%
- 32
7.9%
31
7.7%
8 25
6.2%
2 22
5.4%
3 13
 
3.2%
Other values (7) 35
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19756
97.4%
ASCII 515
 
2.5%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 3391
17.2%
중 1812
 
9.2%
개 1801
 
9.1%
인 1769
 
9.0%
소 1675
 
8.5%
무 1665
 
8.4%
공 1633
 
8.3%
동 325
 
1.6%
산 306
 
1.5%
부 302
 
1.5%
Other values (402) 5077
25.7%
ASCII
ValueCountFrequency (%)
) 52
 
10.1%
( 52
 
10.1%
0 50
 
9.7%
1 48
 
9.3%
4 45
 
8.7%
- 32
 
6.2%
31
 
6.0%
8 25
 
4.9%
2 22
 
4.3%
K 14
 
2.7%
Other values (34) 144
28.0%
None
ValueCountFrequency (%)
㈜ 3
75.0%
· 1
 
25.0%

소재지
Text

Distinct1715
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2023-12-13T06:07:49.603808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length34.364143
Min length20

Characters and Unicode

Total characters61718
Distinct characters305
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1639 ?
Unique (%)91.3%

Sample

1st row서울특별시 송파구 법원로 55 상가B-102호 (문정동, 송파아이파크)
2nd row서울특별시 송파구 위례성대로 158 113호 (오금동, 대림아파트상가)
3rd row서울특별시 송파구 올림픽로37길 130 상가A동 157호(신천동, 파크리오)
4th row서울특별시 송파구 송파대로14길 7-10 1층(문정동)
5th row서울특별시 송파구 올림픽로12길 24 (잠실동)
ValueCountFrequency (%)
서울특별시 1791
 
16.2%
송파구 1788
 
16.2%
상가동 204
 
1.8%
1층 184
 
1.7%
올림픽로 149
 
1.3%
잠실동 135
 
1.2%
송파대로 131
 
1.2%
문정동 115
 
1.0%
가락동 90
 
0.8%
345 85
 
0.8%
Other values (1748) 6381
57.7%
2023-12-13T06:07:50.043905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9269
 
15.0%
1 3548
 
5.7%
파 2605
 
4.2%
동 2435
 
3.9%
송 2291
 
3.7%
시 1947
 
3.2%
로 1820
 
2.9%
) 1801
 
2.9%
( 1801
 
2.9%
울 1796
 
2.9%
Other values (295) 32405
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36776
59.6%
Decimal Number 10348
 
16.8%
Space Separator 9269
 
15.0%
Close Punctuation 1801
 
2.9%
Open Punctuation 1801
 
2.9%
Other Punctuation 1043
 
1.7%
Uppercase Letter 406
 
0.7%
Dash Punctuation 258
 
0.4%
Lowercase Letter 8
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 2605
 
7.1%
동 2435
 
6.6%
송 2291
 
6.2%
시 1947
 
5.3%
로 1820
 
4.9%
울 1796
 
4.9%
구 1796
 
4.9%
서 1794
 
4.9%
별 1792
 
4.9%
특 1792
 
4.9%
Other values (253) 16708
45.4%
Uppercase Letter
ValueCountFrequency (%)
A 186
45.8%
B 107
26.4%
C 35
 
8.6%
Y 14
 
3.4%
S 11
 
2.7%
G 10
 
2.5%
L 9
 
2.2%
E 8
 
2.0%
T 8
 
2.0%
F 6
 
1.5%
Other values (10) 12
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 3548
34.3%
2 1339
 
12.9%
3 1082
 
10.5%
0 1070
 
10.3%
4 785
 
7.6%
5 697
 
6.7%
6 550
 
5.3%
8 476
 
4.6%
7 440
 
4.3%
9 361
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 1040
99.7%
@ 3
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
b 1
 
12.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 2
33.3%
Math Symbol
ValueCountFrequency (%)
| 1
50.0%
∥ 1
50.0%
Space Separator
ValueCountFrequency (%)
9269
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1801
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1801
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36776
59.6%
Common 24522
39.7%
Latin 420
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 2605
 
7.1%
동 2435
 
6.6%
송 2291
 
6.2%
시 1947
 
5.3%
로 1820
 
4.9%
울 1796
 
4.9%
구 1796
 
4.9%
서 1794
 
4.9%
별 1792
 
4.9%
특 1792
 
4.9%
Other values (253) 16708
45.4%
Latin
ValueCountFrequency (%)
A 186
44.3%
B 107
25.5%
C 35
 
8.3%
Y 14
 
3.3%
S 11
 
2.6%
G 10
 
2.4%
L 9
 
2.1%
E 8
 
1.9%
T 8
 
1.9%
e 7
 
1.7%
Other values (14) 25
 
6.0%
Common
ValueCountFrequency (%)
9269
37.8%
1 3548
 
14.5%
) 1801
 
7.3%
( 1801
 
7.3%
2 1339
 
5.5%
3 1082
 
4.4%
0 1070
 
4.4%
, 1040
 
4.2%
4 785
 
3.2%
5 697
 
2.8%
Other values (8) 2090
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36776
59.6%
ASCII 24935
40.4%
Number Forms 6
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9269
37.2%
1 3548
 
14.2%
) 1801
 
7.2%
( 1801
 
7.2%
2 1339
 
5.4%
3 1082
 
4.3%
0 1070
 
4.3%
, 1040
 
4.2%
4 785
 
3.1%
5 697
 
2.8%
Other values (29) 2503
 
10.0%
Hangul
ValueCountFrequency (%)
파 2605
 
7.1%
동 2435
 
6.6%
송 2291
 
6.2%
시 1947
 
5.3%
로 1820
 
4.9%
울 1796
 
4.9%
구 1796
 
4.9%
서 1794
 
4.9%
별 1792
 
4.9%
특 1792
 
4.9%
Other values (253) 16708
45.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 2
33.3%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

대표자
Text

Distinct1702
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2023-12-13T06:07:50.375062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9910913
Min length2

Characters and Unicode

Total characters5372
Distinct characters224
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

Unique1626 ?
Unique (%)90.5%

Sample

1st row김익현
2nd row이상일
3rd row윤복선
4th row주영주
5th row홍광식
ValueCountFrequency (%)
김경희 4
 
0.2%
김인숙 4
 
0.2%
김정옥 4
 
0.2%
김지연 4
 
0.2%
김현수 3
 
0.2%
김성태 3
 
0.2%
이성진 3
 
0.2%
김혜진 3
 
0.2%
김현숙 3
 
0.2%
김성현 3
 
0.2%
Other values (1692) 1762
98.1%
2023-12-13T06:07:50.847667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 392
 
7.3%
이 283
 
5.3%
정 201
 
3.7%
영 168
 
3.1%
박 163
 
3.0%
희 139
 
2.6%
현 127
 
2.4%
성 117
 
2.2%
경 106
 
2.0%
숙 101
 
1.9%
Other values (214) 3575
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5372
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 392
 
7.3%
이 283
 
5.3%
정 201
 
3.7%
영 168
 
3.1%
박 163
 
3.0%
희 139
 
2.6%
현 127
 
2.4%
성 117
 
2.2%
경 106
 
2.0%
숙 101
 
1.9%
Other values (214) 3575
66.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5372
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 392
 
7.3%
이 283
 
5.3%
정 201
 
3.7%
영 168
 
3.1%
박 163
 
3.0%
희 139
 
2.6%
현 127
 
2.4%
성 117
 
2.2%
경 106
 
2.0%
숙 101
 
1.9%
Other values (214) 3575
66.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5372
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 392
 
7.3%
이 283
 
5.3%
정 201
 
3.7%
영 168
 
3.1%
박 163
 
3.0%
희 139
 
2.6%
현 127
 
2.4%
성 117
 
2.2%
경 106
 
2.0%
숙 101
 
1.9%
Other values (214) 3575
66.5%

사무소전화번호
Text

Distinct1572
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2023-12-13T06:07:51.117699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.552339
Min length9

Characters and Unicode

Total characters20748
Distinct characters24
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

Unique1549 ?
Unique (%)86.2%

Sample

1st row02-449-5225
2nd row02-408-1100
3rd row02-412-0042
4th row02-403-8945
5th row02-417-7800
ValueCountFrequency (%)
등록된 203
 
8.4%
전화번호 203
 
8.4%
없음 203
 
8.4%
사무소 203
 
8.4%
02-418-8700 2
 
0.1%
02-420-4520 2
 
0.1%
02-404-3535 2
 
0.1%
02-409-1512 2
 
0.1%
02-422-8868 2
 
0.1%
02-2047-3366 2
 
0.1%
Other values (1565) 1581
65.7%
2023-12-13T06:07:51.535860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3794
18.3%
- 3181
15.3%
2 2803
13.5%
4 2457
11.8%
1 1090
 
5.3%
8 884
 
4.3%
3 883
 
4.3%
9 785
 
3.8%
5 681
 
3.3%
7 642
 
3.1%
Other values (14) 3548
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14522
70.0%
Dash Punctuation 3181
 
15.3%
Other Letter 2436
 
11.7%
Space Separator 609
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 203
8.3%
록 203
8.3%
없 203
8.3%
호 203
8.3%
번 203
8.3%
화 203
8.3%
전 203
8.3%
소 203
8.3%
무 203
8.3%
사 203
8.3%
Other values (2) 406
16.7%
Decimal Number
ValueCountFrequency (%)
0 3794
26.1%
2 2803
19.3%
4 2457
16.9%
1 1090
 
7.5%
8 884
 
6.1%
3 883
 
6.1%
9 785
 
5.4%
5 681
 
4.7%
7 642
 
4.4%
6 503
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 3181
100.0%
Space Separator
ValueCountFrequency (%)
609
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18312
88.3%
Hangul 2436
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3794
20.7%
- 3181
17.4%
2 2803
15.3%
4 2457
13.4%
1 1090
 
6.0%
8 884
 
4.8%
3 883
 
4.8%
9 785
 
4.3%
5 681
 
3.7%
7 642
 
3.5%
Other values (2) 1112
 
6.1%
Hangul
ValueCountFrequency (%)
등 203
8.3%
록 203
8.3%
없 203
8.3%
호 203
8.3%
번 203
8.3%
화 203
8.3%
전 203
8.3%
소 203
8.3%
무 203
8.3%
사 203
8.3%
Other values (2) 406
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18312
88.3%
Hangul 2436
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3794
20.7%
- 3181
17.4%
2 2803
15.3%
4 2457
13.4%
1 1090
 
6.0%
8 884
 
4.8%
3 883
 
4.8%
9 785
 
4.3%
5 681
 
3.7%
7 642
 
3.5%
Other values (2) 1112
 
6.1%
Hangul
ValueCountFrequency (%)
등 203
8.3%
록 203
8.3%
없 203
8.3%
호 203
8.3%
번 203
8.3%
화 203
8.3%
전 203
8.3%
소 203
8.3%
무 203
8.3%
사 203
8.3%
Other values (2) 406
16.7%

상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
영업중
1789 
휴업
 
6
휴업연장
 
1

Length

Max length4
Median length3
Mean length2.997216
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1789
99.6%
휴업 6
 
0.3%
휴업연장 1
 
0.1%

Length

2023-12-13T06:07:51.672489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:07:51.783793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1789
99.6%
휴업 6
 
0.3%
휴업연장 1
 
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.2 KiB
2023-06-22
1796 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-22
2nd row2023-06-22
3rd row2023-06-22
4th row2023-06-22
5th row2023-06-22

Common Values

ValueCountFrequency (%)
2023-06-22 1796
100.0%

Length

2023-12-13T06:07:51.879737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:07:51.978893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-22 1796
100.0%

Missing values

2023-12-13T06:07:47.720724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:07:47.867236image/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

등록번호상호소재지대표자사무소전화번호상태데이터기준일자
011260-2015-00085송파아이파크부동산공인중개사사무소서울특별시 송파구 법원로 55 상가B-102호 (문정동, 송파아이파크)김익현02-449-5225영업중2023-06-22
111710-2015-00012한양공인중개사사무소서울특별시 송파구 위례성대로 158 113호 (오금동, 대림아파트상가)이상일02-408-1100영업중2023-06-22
211710-2015-00015우리공인중개사사무소서울특별시 송파구 올림픽로37길 130 상가A동 157호(신천동, 파크리오)윤복선02-412-0042영업중2023-06-22
311710-2015-00020명진공인중개사사무소서울특별시 송파구 송파대로14길 7-10 1층(문정동)주영주02-403-8945영업중2023-06-22
411710-2015-00021잠실부동산공인중개사사무소서울특별시 송파구 올림픽로12길 24 (잠실동)홍광식02-417-7800영업중2023-06-22
511710-2015-00022태양공인중개사사무소서울특별시 송파구 백제고분로18길 23 1층3호 (잠실동)배혜경02-419-3999영업중2023-06-22
611710-2015-00025한일공인중개사사무소서울특별시 송파구 오금로36길 16 (가락동)심선02-404-8393영업중2023-06-22
711710-2015-00062황금공인중개사사무소서울특별시 송파구 성내천로 129 105호 (마천동)이순녀02-409-8959영업중2023-06-22
811710-2015-00063오렌지공인중개사사무소서울특별시 송파구 송파대로 345 1A동 1072호(가락동,헬리오시티)정병일02-422-9977영업중2023-06-22
911710-2015-00064대한공인중개사사무소서울특별시 송파구 백제고분로45길 26 1층 (송파동)이순희02-424-2303영업중2023-06-22
등록번호상호소재지대표자사무소전화번호상태데이터기준일자
1786가9252-632희망부동산중개사무소서울특별시 송파구 올림픽로51길 38 101호 (풍납동, 서울씨티빌)장진인02-484-2016영업중2023-06-22
1787가9252-815국화부동산중개인사무소서울특별시 송파구 오금로19길 6 (방이동)이기태02-415-1117영업중2023-06-22
1788공9222-666대한공인중개사사무소서울특별시 송파구 석촌호수로 61 상가동 105호 (잠실동, 트리지움)김재승02-412-4080영업중2023-06-22
1789나3350-3963형제부동산중개인사무소서울특별시 송파구 올림픽로 145 상가동 1에이11호 (잠실동, 리센츠)김영길02-417-0022영업중2023-06-22
1790나9252-19-127시민부동산중개인사무소서울특별시 송파구 백제고분로19길 4-19 1층(잠실동)황인일02-417-2111영업중2023-06-22
1791나9252-19-140동우부동산중개인사무소서울특별시 송파구 송파대로37길 70 1층8호 (석촌동)최낙상02-418-3030영업중2023-06-22
1792나9252-19-150합동부동산중개인사무소서울특별시 송파구 백제고분로34길 15 (석촌동)여은덕02-414-9036영업중2023-06-22
1793나9252-22-72박시부동산중개인사무소서울특별시 송파구 백제고분로9길 7 1층(잠실동)김순덕02-413-8888영업중2023-06-22
1794나9252-25-34경성부동산중개인사무소서울특별시 송파구 석촌호수로 135 상가A동 109호 (잠실동, 레이크팰리스)정유기02-422-0792영업중2023-06-22
1795다92340000-4245텃밭공인중개사사무소서울특별시 송파구 충민로 66 L-1047호 (문정동, 가든파이브라이프)최낙준02-941-5959영업중2023-06-22