Overview

Dataset statistics

Number of variables8
Number of observations1668
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.4 KiB
Average record size in memory64.1 B

Variable types

Text5
Categorical2
DateTime1

Dataset

Description천안시에서 운영중인 부동산 중개업소에 관한 데이터로 상호명, 등록번호, 대표자명, 소재지, 등록연월일을 제공합니다.
Author충청남도 천안시
URLhttps://www.data.go.kr/data/3078703/fileData.do

Alerts

상태 has constant value ""Constant
기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 20:26:41.952530
Analysis finished2023-12-12 20:26:42.975655
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

Distinct1110
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-13T05:26:43.420712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9388489
Min length1

Characters and Unicode

Total characters4902
Distinct characters14
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

Unique552 ?
Unique (%)33.1%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
556 2
 
0.1%
377 2
 
0.1%
382 2
 
0.1%
381 2
 
0.1%
380 2
 
0.1%
379 2
 
0.1%
378 2
 
0.1%
385 2
 
0.1%
375 2
 
0.1%
369 2
 
0.1%
Other values (1100) 1649
98.8%
2023-12-13T05:26:44.130044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 657
13.4%
4 537
11.0%
3 537
11.0%
2 537
11.0%
5 497
10.1%
6 427
8.7%
7 427
8.7%
9 427
8.7%
8 427
8.7%
0 425
8.7%
Other values (4) 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4898
99.9%
Other Letter 3
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 657
13.4%
4 537
11.0%
3 537
11.0%
2 537
11.0%
5 497
10.1%
6 427
8.7%
7 427
8.7%
9 427
8.7%
8 427
8.7%
0 425
8.7%
Other Letter
ValueCountFrequency (%)
서 1
33.3%
북 1
33.3%
구 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4899
99.9%
Hangul 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 657
13.4%
4 537
11.0%
3 537
11.0%
2 537
11.0%
5 497
10.1%
6 427
8.7%
7 427
8.7%
9 427
8.7%
8 427
8.7%
0 425
8.7%
Hangul
ValueCountFrequency (%)
서 1
33.3%
북 1
33.3%
구 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4899
99.9%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 657
13.4%
4 537
11.0%
3 537
11.0%
2 537
11.0%
5 497
10.1%
6 427
8.7%
7 427
8.7%
9 427
8.7%
8 427
8.7%
0 425
8.7%
Hangul
ValueCountFrequency (%)
서 1
33.3%
북 1
33.3%
구 1
33.3%

등록번호
Text

Distinct1660
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-13T05:26:44.428828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length12.4994
Min length1

Characters and Unicode

Total characters20849
Distinct characters19
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

Unique1652 ?
Unique (%)99.0%

Sample

1st row16
2nd row18
3rd row44
4th row57
5th row60
ValueCountFrequency (%)
3268 2
 
0.1%
3146 2
 
0.1%
3298 2
 
0.1%
2952 2
 
0.1%
3244 2
 
0.1%
3274 2
 
0.1%
3257 2
 
0.1%
3239 2
 
0.1%
44133-2019-04964 1
 
0.1%
44133-2019-04979 1
 
0.1%
Other values (1651) 1651
98.9%
2023-12-13T05:26:44.839690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3395
16.3%
4 3246
15.6%
1 2930
14.1%
3 2866
13.7%
2 2453
11.8%
- 2314
11.1%
5 905
 
4.3%
9 622
 
3.0%
8 604
 
2.9%
7 597
 
2.9%
Other values (9) 917
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18155
87.1%
Dash Punctuation 2314
 
11.1%
Other Letter 379
 
1.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3395
18.7%
4 3246
17.9%
1 2930
16.1%
3 2866
15.8%
2 2453
13.5%
5 905
 
5.0%
9 622
 
3.4%
8 604
 
3.3%
7 597
 
3.3%
6 537
 
3.0%
Other Letter
ValueCountFrequency (%)
구 103
27.2%
서 101
26.6%
북 101
26.6%
천 35
 
9.2%
안 35
 
9.2%
동 2
 
0.5%
남 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 2314
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20470
98.2%
Hangul 379
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3395
16.6%
4 3246
15.9%
1 2930
14.3%
3 2866
14.0%
2 2453
12.0%
- 2314
11.3%
5 905
 
4.4%
9 622
 
3.0%
8 604
 
3.0%
7 597
 
2.9%
Other values (2) 538
 
2.6%
Hangul
ValueCountFrequency (%)
구 103
27.2%
서 101
26.6%
북 101
26.6%
천 35
 
9.2%
안 35
 
9.2%
동 2
 
0.5%
남 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20470
98.2%
Hangul 379
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3395
16.6%
4 3246
15.9%
1 2930
14.3%
3 2866
14.0%
2 2453
12.0%
- 2314
11.3%
5 905
 
4.4%
9 622
 
3.0%
8 604
 
3.0%
7 597
 
2.9%
Other values (2) 538
 
2.6%
Hangul
ValueCountFrequency (%)
구 103
27.2%
서 101
26.6%
북 101
26.6%
천 35
 
9.2%
안 35
 
9.2%
동 2
 
0.5%
남 2
 
0.5%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
영업중
1668 

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 1668
100.0%

Length

2023-12-13T05:26:44.972427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:26:45.093445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1668
100.0%

상호명
Text

Distinct1530
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-13T05:26:45.304391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length11.893285
Min length6

Characters and Unicode

Total characters19838
Distinct characters482
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

Unique1425 ?
Unique (%)85.4%

Sample

1st row현대부동산중개인사무소
2nd row황금부동산중개인사무소
3rd row잠실부동산중개인사무소
4th row학사부동산중개인사무소
5th row행복부동산중개인사무소
ValueCountFrequency (%)
공인중개사사무소 13
 
0.8%
행운공인중개사사무소 5
 
0.3%
대박공인중개사사무소 5
 
0.3%
금탑공인중개사사무소 4
 
0.2%
한국공인중개사사무소 4
 
0.2%
전원공인중개사사무소 4
 
0.2%
천안공인중개사사무소 4
 
0.2%
부자공인중개사사무소 4
 
0.2%
신성공인중개사사무소 4
 
0.2%
우정공인중개사사무소 4
 
0.2%
Other values (1534) 1648
97.0%
2023-12-13T05:26:45.704750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 3178
16.0%
중 1690
 
8.5%
개 1686
 
8.5%
소 1632
 
8.2%
무 1628
 
8.2%
인 1590
 
8.0%
공 1546
 
7.8%
동 424
 
2.1%
산 413
 
2.1%
부 406
 
2.0%
Other values (472) 5645
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19492
98.3%
Decimal Number 175
 
0.9%
Uppercase Letter 68
 
0.3%
Lowercase Letter 47
 
0.2%
Space Separator 31
 
0.2%
Close Punctuation 7
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3178
16.3%
중 1690
 
8.7%
개 1686
 
8.6%
소 1632
 
8.4%
무 1628
 
8.4%
인 1590
 
8.2%
공 1546
 
7.9%
동 424
 
2.2%
산 413
 
2.1%
부 406
 
2.1%
Other values (421) 5299
27.2%
Uppercase Letter
ValueCountFrequency (%)
K 11
16.2%
O 8
11.8%
N 7
10.3%
G 5
 
7.4%
P 5
 
7.4%
L 4
 
5.9%
S 4
 
5.9%
T 4
 
5.9%
J 3
 
4.4%
V 3
 
4.4%
Other values (9) 14
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 19
40.4%
w 7
 
14.9%
n 3
 
6.4%
i 3
 
6.4%
t 3
 
6.4%
u 2
 
4.3%
o 2
 
4.3%
c 1
 
2.1%
y 1
 
2.1%
h 1
 
2.1%
Other values (5) 5
 
10.6%
Decimal Number
ValueCountFrequency (%)
1 82
46.9%
4 27
 
15.4%
3 17
 
9.7%
2 13
 
7.4%
9 9
 
5.1%
5 7
 
4.0%
8 6
 
3.4%
0 6
 
3.4%
6 5
 
2.9%
7 3
 
1.7%
Other Punctuation
ValueCountFrequency (%)
# 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19487
98.2%
Common 231
 
1.2%
Latin 115
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3178
16.3%
중 1690
 
8.7%
개 1686
 
8.7%
소 1632
 
8.4%
무 1628
 
8.4%
인 1590
 
8.2%
공 1546
 
7.9%
동 424
 
2.2%
산 413
 
2.1%
부 406
 
2.1%
Other values (416) 5294
27.2%
Latin
ValueCountFrequency (%)
e 19
16.5%
K 11
 
9.6%
O 8
 
7.0%
w 7
 
6.1%
N 7
 
6.1%
G 5
 
4.3%
P 5
 
4.3%
L 4
 
3.5%
S 4
 
3.5%
T 4
 
3.5%
Other values (24) 41
35.7%
Common
ValueCountFrequency (%)
1 82
35.5%
31
 
13.4%
4 27
 
11.7%
3 17
 
7.4%
2 13
 
5.6%
9 9
 
3.9%
5 7
 
3.0%
) 7
 
3.0%
- 7
 
3.0%
( 7
 
3.0%
Other values (7) 24
 
10.4%
Han
ValueCountFrequency (%)
新 1
20.0%
大 1
20.0%
福 1
20.0%
兆 1
20.0%
源 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19487
98.2%
ASCII 346
 
1.7%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 3178
16.3%
중 1690
 
8.7%
개 1686
 
8.7%
소 1632
 
8.4%
무 1628
 
8.4%
인 1590
 
8.2%
공 1546
 
7.9%
동 424
 
2.2%
산 413
 
2.1%
부 406
 
2.1%
Other values (416) 5294
27.2%
ASCII
ValueCountFrequency (%)
1 82
23.7%
31
 
9.0%
4 27
 
7.8%
e 19
 
5.5%
3 17
 
4.9%
2 13
 
3.8%
K 11
 
3.2%
9 9
 
2.6%
O 8
 
2.3%
5 7
 
2.0%
Other values (41) 122
35.3%
CJK
ValueCountFrequency (%)
新 1
20.0%
大 1
20.0%
福 1
20.0%
兆 1
20.0%
源 1
20.0%

성명(대표자)
Text

Distinct1574
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-13T05:26:46.050688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.0029976
Min length2

Characters and Unicode

Total characters5009
Distinct characters224
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1499 ?
Unique (%)89.9%

Sample

1st row임도웅
2nd row김상구
3rd row최준식
4th row김명환
5th row이기성
ValueCountFrequency (%)
이미경 4
 
0.2%
김현정 4
 
0.2%
김영미 4
 
0.2%
이경숙 4
 
0.2%
김정희 4
 
0.2%
이미화 3
 
0.2%
이은주 3
 
0.2%
이주연 3
 
0.2%
이정미 3
 
0.2%
이수연 3
 
0.2%
Other values (1566) 1635
97.9%
2023-12-13T05:26:46.501227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 326
 
6.5%
이 319
 
6.4%
정 237
 
4.7%
영 164
 
3.3%
박 143
 
2.9%
희 132
 
2.6%
미 124
 
2.5%
숙 103
 
2.1%
경 102
 
2.0%
현 94
 
1.9%
Other values (214) 3265
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4990
99.6%
Lowercase Letter 16
 
0.3%
Space Separator 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 326
 
6.5%
이 319
 
6.4%
정 237
 
4.7%
영 164
 
3.3%
박 143
 
2.9%
희 132
 
2.6%
미 124
 
2.5%
숙 103
 
2.1%
경 102
 
2.0%
현 94
 
1.9%
Other values (202) 3246
65.1%
Lowercase Letter
ValueCountFrequency (%)
n 4
25.0%
e 2
12.5%
h 2
12.5%
o 2
12.5%
l 1
 
6.2%
m 1
 
6.2%
y 1
 
6.2%
g 1
 
6.2%
s 1
 
6.2%
u 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4990
99.6%
Latin 17
 
0.3%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 326
 
6.5%
이 319
 
6.4%
정 237
 
4.7%
영 164
 
3.3%
박 143
 
2.9%
희 132
 
2.6%
미 124
 
2.5%
숙 103
 
2.1%
경 102
 
2.0%
현 94
 
1.9%
Other values (202) 3246
65.1%
Latin
ValueCountFrequency (%)
n 4
23.5%
e 2
11.8%
h 2
11.8%
o 2
11.8%
l 1
 
5.9%
m 1
 
5.9%
y 1
 
5.9%
g 1
 
5.9%
s 1
 
5.9%
A 1
 
5.9%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4990
99.6%
ASCII 19
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 326
 
6.5%
이 319
 
6.4%
정 237
 
4.7%
영 164
 
3.3%
박 143
 
2.9%
희 132
 
2.6%
미 124
 
2.5%
숙 103
 
2.1%
경 102
 
2.0%
현 94
 
1.9%
Other values (202) 3246
65.1%
ASCII
ValueCountFrequency (%)
n 4
21.1%
e 2
10.5%
h 2
10.5%
2
10.5%
o 2
10.5%
l 1
 
5.3%
m 1
 
5.3%
y 1
 
5.3%
g 1
 
5.3%
s 1
 
5.3%
Other values (2) 2
10.5%

소재지
Text

Distinct1609
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-13T05:26:46.888606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length33.290168
Min length18

Characters and Unicode

Total characters55528
Distinct characters361
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1554 ?
Unique (%)93.2%

Sample

1st row충청남도 천안시 동남구 목천읍 동평1길 1 (목천읍 운전리349)
2nd row충청남도 천안시 동남구 신부12길 19 (신부동,임페리움오피스텔)
3rd row충청남도 천안시 동남구 목천읍 충절로 816
4th row충청남도 천안시 동남구 천안천7길 32-1 (신부동)
5th row충청남도 천안시 동남구 충절로 132 (원성동)
ValueCountFrequency (%)
충청남도 1667
 
14.6%
천안시 1667
 
14.6%
서북구 1106
 
9.7%
동남구 561
 
4.9%
상가동 173
 
1.5%
101호 121
 
1.1%
1층 112
 
1.0%
상가 81
 
0.7%
성환읍 65
 
0.6%
102호 64
 
0.6%
Other values (2038) 5787
50.7%
2023-12-13T05:26:47.440622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9736
 
17.5%
1 3131
 
5.6%
남 2252
 
4.1%
천 1959
 
3.5%
안 1878
 
3.4%
시 1834
 
3.3%
청 1817
 
3.3%
동 1802
 
3.2%
충 1730
 
3.1%
구 1684
 
3.0%
Other values (351) 27705
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33276
59.9%
Decimal Number 9927
 
17.9%
Space Separator 9736
 
17.5%
Close Punctuation 856
 
1.5%
Open Punctuation 856
 
1.5%
Dash Punctuation 403
 
0.7%
Other Punctuation 331
 
0.6%
Uppercase Letter 120
 
0.2%
Lowercase Letter 19
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 2252
 
6.8%
천 1959
 
5.9%
안 1878
 
5.6%
시 1834
 
5.5%
청 1817
 
5.5%
동 1802
 
5.4%
충 1730
 
5.2%
구 1684
 
5.1%
도 1682
 
5.1%
서 1237
 
3.7%
Other values (310) 15401
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 42
35.0%
A 23
19.2%
S 10
 
8.3%
D 9
 
7.5%
K 6
 
5.0%
C 6
 
5.0%
E 5
 
4.2%
I 3
 
2.5%
G 3
 
2.5%
R 2
 
1.7%
Other values (8) 11
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 3131
31.5%
2 1398
14.1%
0 1390
14.0%
3 830
 
8.4%
4 778
 
7.8%
6 586
 
5.9%
5 553
 
5.6%
7 460
 
4.6%
8 431
 
4.3%
9 370
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 326
98.5%
@ 4
 
1.2%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 15
78.9%
s 2
 
10.5%
b 2
 
10.5%
Space Separator
ValueCountFrequency (%)
9736
100.0%
Close Punctuation
ValueCountFrequency (%)
) 856
100.0%
Open Punctuation
ValueCountFrequency (%)
( 856
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 403
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33276
59.9%
Common 22111
39.8%
Latin 141
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 2252
 
6.8%
천 1959
 
5.9%
안 1878
 
5.6%
시 1834
 
5.5%
청 1817
 
5.5%
동 1802
 
5.4%
충 1730
 
5.2%
구 1684
 
5.1%
도 1682
 
5.1%
서 1237
 
3.7%
Other values (310) 15401
46.3%
Latin
ValueCountFrequency (%)
B 42
29.8%
A 23
16.3%
e 15
 
10.6%
S 10
 
7.1%
D 9
 
6.4%
K 6
 
4.3%
C 6
 
4.3%
E 5
 
3.5%
I 3
 
2.1%
G 3
 
2.1%
Other values (12) 19
13.5%
Common
ValueCountFrequency (%)
9736
44.0%
1 3131
 
14.2%
2 1398
 
6.3%
0 1390
 
6.3%
) 856
 
3.9%
( 856
 
3.9%
3 830
 
3.8%
4 778
 
3.5%
6 586
 
2.7%
5 553
 
2.5%
Other values (9) 1997
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33276
59.9%
ASCII 22249
40.1%
Number Forms 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9736
43.8%
1 3131
 
14.1%
2 1398
 
6.3%
0 1390
 
6.2%
) 856
 
3.8%
( 856
 
3.8%
3 830
 
3.7%
4 778
 
3.5%
6 586
 
2.6%
5 553
 
2.5%
Other values (29) 2135
 
9.6%
Hangul
ValueCountFrequency (%)
남 2252
 
6.8%
천 1959
 
5.9%
안 1878
 
5.6%
시 1834
 
5.5%
청 1817
 
5.5%
동 1802
 
5.4%
충 1730
 
5.2%
구 1684
 
5.1%
도 1682
 
5.1%
서 1237
 
3.7%
Other values (310) 15401
46.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

등록연월일
Date

Distinct1207
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
Minimum1984-06-04 00:00:00
Maximum2022-06-09 00:00:00
2023-12-13T05:26:47.628635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:26:47.816145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2022-06-10
1668 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-10
2nd row2022-06-10
3rd row2022-06-10
4th row2022-06-10
5th row2022-06-10

Common Values

ValueCountFrequency (%)
2022-06-10 1668
100.0%

Length

2023-12-13T05:26:47.944697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:26:48.052067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-10 1668
100.0%

Missing values

2023-12-13T05:26:42.758360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:26:42.924061image/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

연번등록번호상태상호명성명(대표자)소재지등록연월일기준일자
0116영업중현대부동산중개인사무소임도웅충청남도 천안시 동남구 목천읍 동평1길 1 (목천읍 운전리349)1984-06-082022-06-10
1218영업중황금부동산중개인사무소김상구충청남도 천안시 동남구 신부12길 19 (신부동,임페리움오피스텔)1984-06-122022-06-10
2344영업중잠실부동산중개인사무소최준식충청남도 천안시 동남구 목천읍 충절로 8161984-07-052022-06-10
3457영업중학사부동산중개인사무소김명환충청남도 천안시 동남구 천안천7길 32-1 (신부동)1984-07-072022-06-10
4560영업중행복부동산중개인사무소이기성충청남도 천안시 동남구 충절로 132 (원성동)1984-07-072022-06-10
5664영업중계명부동산중개인사무소추민호충청남도 천안시 동남구 고재20길 7 (원성동)1984-07-072022-06-10
6765영업중대림개발중개인사무소김인구충청남도 천안시 동남구 원거리8길 24 (원성동)1984-07-072022-06-10
7868영업중삼미부동산중개인사무소홍종만충청남도 천안시 동남구 원성천1길 149 (원성동)1984-07-072022-06-10
8972영업중신일부동산중개사무소김명기충청남도 천안시 동남구 다가5길 37 (다가동)1984-08-072022-06-10
91081영업중동서부동산중개인사무소곽노태충청남도 천안시 동남구 병천면 병천2로 9 102호(병천리152-2)1985-05-032022-06-10
연번등록번호상태상호명성명(대표자)소재지등록연월일기준일자
16581100천안서북구3011영업중성성행복한공인중개사사무소이은주충청남도 천안시 서북구 성성9로 14 501동 123호(성성동, 천안레이크타운2차 푸르지오)2009-09-142022-06-10
16591101천안서북구3027영업중삼성공인중개사무소조창배충청남도 천안시 서북구 불당11로 68 702동 1층 상가 104호 (불당동, 한성아파트)2009-10-202022-06-10
16601102천안서북구3064영업중성거공인중개사사무소이혜경충청남도 천안시 서북구 성거읍 성거길 79 1층(송남리)2009-12-282022-06-10
16611103천안서북구3101영업중천억공인중개사사무소박선영충청남도 천안시 서북구 동서대로 138 (성정동)2010-03-082022-06-10
16621104천안서북구3111영업중고려공인중개사사무소권환준충청남도 천안시 서북구 성환읍 신방로 513 1층 101호(성환리)2010-03-262022-06-10
16631105천안서북구3116영업중두정역대우공인중개사사무소이명애충청남도 천안시 서북구 두정역길 42 101호 (두정동)2010-04-022022-06-10
16641106천안서북구3137영업중불당스마트공인중개사김도한충청남도 천안시 서북구 불당17길 23 크리스탈프라자 607호2010-05-132022-06-10
16651107천안서북구3149영업중세경공인중개사사무소이상미충청남도 천안시 서북구 쌍용18길 36 상가동101-1호 (쌍용동, 일성능수아파트)2010-06-072022-06-10
16661108천안서북구3154영업중끌림공인중개사사무소이영선충청남도 천안시 서북구 성성8로 14-64 1012010-06-182022-06-10
16671109천안서북구3155영업중7단지공인중개사사무소황숙희충청남도 천안시 서북구 쌍용11길 58 상가동105호 (쌍용동, 주공7단지아파트)2010-06-212022-06-10