Overview

Dataset statistics

Number of variables6
Number of observations506
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory49.3 B

Variable types

Text5
Numeric1

Dataset

Description순천시에 등록된 부동산중개업소에 대한 데이터로 부동산 중개업소의 등록번호, 상호명, 주소 등의 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3041007/fileData.do

Alerts

등록번호 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:02:24.444373
Analysis finished2024-04-06 09:02:25.694381
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct506
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T18:02:25.928312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.256917
Min length8

Characters and Unicode

Total characters7214
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

Unique506 ?
Unique (%)100.0%

Sample

1st row나4112-52
2nd row나4112-64
3rd row가4112-36
4th row가4112-68
5th row가4112-69
ValueCountFrequency (%)
나4112-52 1
 
0.2%
46150-2020-00032 1
 
0.2%
46150-2020-00051 1
 
0.2%
46150-2020-00050 1
 
0.2%
46150-2020-00049 1
 
0.2%
46150-2020-00047 1
 
0.2%
46150-2020-00046 1
 
0.2%
46150-2020-00044 1
 
0.2%
46150-2020-00042 1
 
0.2%
46150-2020-00039 1
 
0.2%
Other values (496) 496
98.0%
2024-04-06T18:02:26.463384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2080
28.8%
1 967
13.4%
- 887
12.3%
2 883
12.2%
4 650
 
9.0%
5 538
 
7.5%
6 536
 
7.4%
3 177
 
2.5%
7 159
 
2.2%
가 123
 
1.7%
Other values (3) 214
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6202
86.0%
Dash Punctuation 887
 
12.3%
Other Letter 125
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2080
33.5%
1 967
15.6%
2 883
14.2%
4 650
 
10.5%
5 538
 
8.7%
6 536
 
8.6%
3 177
 
2.9%
7 159
 
2.6%
8 112
 
1.8%
9 100
 
1.6%
Other Letter
ValueCountFrequency (%)
가 123
98.4%
나 2
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7089
98.3%
Hangul 125
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2080
29.3%
1 967
13.6%
- 887
12.5%
2 883
12.5%
4 650
 
9.2%
5 538
 
7.6%
6 536
 
7.6%
3 177
 
2.5%
7 159
 
2.2%
8 112
 
1.6%
Hangul
ValueCountFrequency (%)
가 123
98.4%
나 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7089
98.3%
Hangul 125
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2080
29.3%
1 967
13.6%
- 887
12.5%
2 883
12.5%
4 650
 
9.2%
5 538
 
7.6%
6 536
 
7.6%
3 177
 
2.5%
7 159
 
2.2%
8 112
 
1.6%
Hangul
ValueCountFrequency (%)
가 123
98.4%
나 2
 
1.6%

상호명
Text

UNIQUE 

Distinct506
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T18:02:26.825248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.349802
Min length7

Characters and Unicode

Total characters5743
Distinct characters352
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique506 ?
Unique (%)100.0%

Sample

1st row우리부동산중개인사무소
2nd row청운부동산중개인사무소
3rd row승리부동산중개인사무소
4th row성동부동산중개인사무소
5th row믿음부동산중개인사무소
ValueCountFrequency (%)
공인중개사사무소 8
 
1.5%
사무소 3
 
0.6%
공인중개사 2
 
0.4%
신대행복공인중개사사무소 1
 
0.2%
율산공인중개사사무소 1
 
0.2%
해오름부동산공인중개사사무소 1
 
0.2%
더봄공인중개사사무소 1
 
0.2%
왕부동산공인중개사사무소 1
 
0.2%
다다공인중개사사무소 1
 
0.2%
우리부동산중개인사무소 1
 
0.2%
Other values (501) 501
96.2%
2024-04-06T18:02:27.461812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 987
17.2%
중 509
 
8.9%
개 508
 
8.8%
인 506
 
8.8%
소 500
 
8.7%
무 497
 
8.7%
공 488
 
8.5%
산 149
 
2.6%
동 142
 
2.5%
부 140
 
2.4%
Other values (342) 1317
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5678
98.9%
Decimal Number 26
 
0.5%
Space Separator 18
 
0.3%
Uppercase Letter 14
 
0.2%
Lowercase Letter 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 987
17.4%
중 509
9.0%
개 508
8.9%
인 506
8.9%
소 500
 
8.8%
무 497
 
8.8%
공 488
 
8.6%
산 149
 
2.6%
동 142
 
2.5%
부 140
 
2.5%
Other values (319) 1252
22.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
K 2
14.3%
O 2
14.3%
W 1
 
7.1%
P 1
 
7.1%
I 1
 
7.1%
V 1
 
7.1%
J 1
 
7.1%
M 1
 
7.1%
B 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 9
34.6%
5 4
15.4%
3 3
 
11.5%
8 3
 
11.5%
6 2
 
7.7%
2 2
 
7.7%
4 2
 
7.7%
0 1
 
3.8%
Space Separator
ValueCountFrequency (%)
18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5678
98.9%
Common 49
 
0.9%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 987
17.4%
중 509
9.0%
개 508
8.9%
인 506
8.9%
소 500
 
8.8%
무 497
 
8.8%
공 488
 
8.6%
산 149
 
2.6%
동 142
 
2.5%
부 140
 
2.5%
Other values (319) 1252
22.1%
Common
ValueCountFrequency (%)
18
36.7%
1 9
18.4%
5 4
 
8.2%
3 3
 
6.1%
8 3
 
6.1%
( 2
 
4.1%
) 2
 
4.1%
6 2
 
4.1%
2 2
 
4.1%
4 2
 
4.1%
Other values (2) 2
 
4.1%
Latin
ValueCountFrequency (%)
A 3
18.8%
e 2
12.5%
K 2
12.5%
O 2
12.5%
W 1
 
6.2%
P 1
 
6.2%
I 1
 
6.2%
V 1
 
6.2%
J 1
 
6.2%
M 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5677
98.9%
ASCII 65
 
1.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 987
17.4%
중 509
9.0%
개 508
8.9%
인 506
8.9%
소 500
 
8.8%
무 497
 
8.8%
공 488
 
8.6%
산 149
 
2.6%
동 142
 
2.5%
부 140
 
2.5%
Other values (318) 1251
22.0%
ASCII
ValueCountFrequency (%)
18
27.7%
1 9
13.8%
5 4
 
6.2%
3 3
 
4.6%
A 3
 
4.6%
8 3
 
4.6%
e 2
 
3.1%
K 2
 
3.1%
( 2
 
3.1%
) 2
 
3.1%
Other values (13) 17
26.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

우편번호
Real number (ℝ)

Distinct92
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57968.962
Minimum57900
Maximum58034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-06T18:02:27.682692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57900
5-th percentile57930
Q157943.25
median57968
Q357995
95-th percentile58015.75
Maximum58034
Range134
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation29.556199
Coefficient of variation (CV)0.00050986248
Kurtosis-1.1610855
Mean57968.962
Median Absolute Deviation (MAD)25.5
Skewness0.15890588
Sum29332295
Variance873.56888
MonotonicityNot monotonic
2024-04-06T18:02:27.966191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57932 25
 
4.9%
57947 18
 
3.6%
58016 14
 
2.8%
58006 14
 
2.8%
57936 13
 
2.6%
57951 13
 
2.6%
57930 13
 
2.6%
57970 12
 
2.4%
57956 12
 
2.4%
57933 12
 
2.4%
Other values (82) 360
71.1%
ValueCountFrequency (%)
57900 1
 
0.2%
57902 1
 
0.2%
57922 1
 
0.2%
57923 4
 
0.8%
57924 6
 
1.2%
57925 3
 
0.6%
57926 7
 
1.4%
57930 13
2.6%
57932 25
4.9%
57933 12
2.4%
ValueCountFrequency (%)
58034 1
 
0.2%
58033 2
 
0.4%
58030 1
 
0.2%
58026 1
 
0.2%
58025 1
 
0.2%
58019 2
 
0.4%
58017 4
 
0.8%
58016 14
2.8%
58015 5
 
1.0%
58014 6
1.2%

소재지 지번주소
Text

Distinct469
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T18:02:28.336955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length24.525692
Min length16

Characters and Unicode

Total characters12410
Distinct characters153
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

Unique436 ?
Unique (%)86.2%

Sample

1st row전라남도 순천시 동외동 198-13
2nd row전라남도 순천시 남정동 550-1
3rd row전라남도 순천시 저전동 231-24
4th row전라남도 순천시 인제동 39-3
5th row전라남도 순천시 장천동 173
ValueCountFrequency (%)
전라남도 506
19.0%
순천시 506
19.0%
조례동 127
 
4.8%
해룡면 120
 
4.5%
연향동 82
 
3.1%
신대리 80
 
3.0%
상가동 62
 
2.3%
1층 41
 
1.5%
왕지동 40
 
1.5%
상삼리 32
 
1.2%
Other values (569) 1068
40.1%
2024-04-06T18:02:28.951418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2386
19.2%
1 791
 
6.4%
동 557
 
4.5%
천 536
 
4.3%
남 516
 
4.2%
전 515
 
4.1%
시 513
 
4.1%
라 510
 
4.1%
도 506
 
4.1%
순 506
 
4.1%
Other values (143) 5074
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6580
53.0%
Decimal Number 2957
23.8%
Space Separator 2386
 
19.2%
Dash Punctuation 331
 
2.7%
Open Punctuation 65
 
0.5%
Close Punctuation 65
 
0.5%
Other Punctuation 19
 
0.2%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 557
 
8.5%
천 536
 
8.1%
남 516
 
7.8%
전 515
 
7.8%
시 513
 
7.8%
라 510
 
7.8%
도 506
 
7.7%
순 506
 
7.7%
호 200
 
3.0%
조 150
 
2.3%
Other values (124) 2071
31.5%
Decimal Number
ValueCountFrequency (%)
1 791
26.8%
0 346
11.7%
2 333
11.3%
3 266
 
9.0%
6 249
 
8.4%
5 226
 
7.6%
8 219
 
7.4%
4 193
 
6.5%
9 174
 
5.9%
7 160
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 14
73.7%
@ 5
 
26.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
83.3%
S 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 331
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6580
53.0%
Common 5823
46.9%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 557
 
8.5%
천 536
 
8.1%
남 516
 
7.8%
전 515
 
7.8%
시 513
 
7.8%
라 510
 
7.8%
도 506
 
7.7%
순 506
 
7.7%
호 200
 
3.0%
조 150
 
2.3%
Other values (124) 2071
31.5%
Common
ValueCountFrequency (%)
2386
41.0%
1 791
 
13.6%
0 346
 
5.9%
2 333
 
5.7%
- 331
 
5.7%
3 266
 
4.6%
6 249
 
4.3%
5 226
 
3.9%
8 219
 
3.8%
4 193
 
3.3%
Other values (6) 483
 
8.3%
Latin
ValueCountFrequency (%)
B 5
71.4%
S 1
 
14.3%
s 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6580
53.0%
ASCII 5830
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2386
40.9%
1 791
 
13.6%
0 346
 
5.9%
2 333
 
5.7%
- 331
 
5.7%
3 266
 
4.6%
6 249
 
4.3%
5 226
 
3.9%
8 219
 
3.8%
4 193
 
3.3%
Other values (9) 490
 
8.4%
Hangul
ValueCountFrequency (%)
동 557
 
8.5%
천 536
 
8.1%
남 516
 
7.8%
전 515
 
7.8%
시 513
 
7.8%
라 510
 
7.8%
도 506
 
7.7%
순 506
 
7.7%
호 200
 
3.0%
조 150
 
2.3%
Other values (124) 2071
31.5%

소재지 도로명주소
Text

Distinct476
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T18:02:29.905703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.177866
Min length15

Characters and Unicode

Total characters12234
Distinct characters206
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

Unique450 ?
Unique (%)88.9%

Sample

1st row전라남도 순천시 북부시장1길 26 (동외동)
2nd row전라남도 순천시 하인제길 40 (남정동)
3rd row전라남도 순천시 청사큰길 30
4th row전라남도 순천시 성남뒷길 30
5th row전라남도 순천시 중앙5길 11 (장천동)
ValueCountFrequency (%)
전라남도 506
 
18.3%
순천시 506
 
18.3%
해룡면 130
 
4.7%
상가동 64
 
2.3%
1층 38
 
1.4%
신대로 30
 
1.1%
102호 30
 
1.1%
상가 24
 
0.9%
좌야로 23
 
0.8%
101호 21
 
0.8%
Other values (563) 1392
50.4%
2024-04-06T18:02:30.715001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2422
19.8%
1 657
 
5.4%
천 534
 
4.4%
남 528
 
4.3%
도 523
 
4.3%
시 516
 
4.2%
순 512
 
4.2%
전 511
 
4.2%
라 510
 
4.2%
2 320
 
2.6%
Other values (196) 5201
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7205
58.9%
Space Separator 2422
 
19.8%
Decimal Number 2244
 
18.3%
Close Punctuation 128
 
1.0%
Open Punctuation 128
 
1.0%
Dash Punctuation 80
 
0.7%
Other Punctuation 19
 
0.2%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 534
 
7.4%
남 528
 
7.3%
도 523
 
7.3%
시 516
 
7.2%
순 512
 
7.1%
전 511
 
7.1%
라 510
 
7.1%
길 317
 
4.4%
동 257
 
3.6%
호 218
 
3.0%
Other values (177) 2779
38.6%
Decimal Number
ValueCountFrequency (%)
1 657
29.3%
2 320
14.3%
0 313
13.9%
3 224
 
10.0%
5 182
 
8.1%
6 136
 
6.1%
4 125
 
5.6%
7 111
 
4.9%
9 99
 
4.4%
8 77
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 12
63.2%
@ 7
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
83.3%
S 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7205
58.9%
Common 5021
41.0%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 534
 
7.4%
남 528
 
7.3%
도 523
 
7.3%
시 516
 
7.2%
순 512
 
7.1%
전 511
 
7.1%
라 510
 
7.1%
길 317
 
4.4%
동 257
 
3.6%
호 218
 
3.0%
Other values (177) 2779
38.6%
Common
ValueCountFrequency (%)
2422
48.2%
1 657
 
13.1%
2 320
 
6.4%
0 313
 
6.2%
3 224
 
4.5%
5 182
 
3.6%
6 136
 
2.7%
) 128
 
2.5%
( 128
 
2.5%
4 125
 
2.5%
Other values (6) 386
 
7.7%
Latin
ValueCountFrequency (%)
B 5
62.5%
s 2
 
25.0%
S 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7205
58.9%
ASCII 5029
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2422
48.2%
1 657
 
13.1%
2 320
 
6.4%
0 313
 
6.2%
3 224
 
4.5%
5 182
 
3.6%
6 136
 
2.7%
) 128
 
2.5%
( 128
 
2.5%
4 125
 
2.5%
Other values (9) 394
 
7.8%
Hangul
ValueCountFrequency (%)
천 534
 
7.4%
남 528
 
7.3%
도 523
 
7.3%
시 516
 
7.2%
순 512
 
7.1%
전 511
 
7.1%
라 510
 
7.1%
길 317
 
4.4%
동 257
 
3.6%
호 218
 
3.0%
Other values (177) 2779
38.6%

전화번호
Text

Distinct315
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T18:02:31.104904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length10.20751
Min length7

Characters and Unicode

Total characters5165
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)61.7%

Sample

1st row061-752-6023
2nd row061-744-6440
3rd row061-744-0247
4th row061-753-6333
5th row061-744-7887
ValueCountFrequency (%)
데이터 190
27.1%
미집계 190
27.1%
061-725-7676 2
 
0.3%
061-722-5046 2
 
0.3%
1
 
0.1%
061-725-4989 1
 
0.1%
061-727-7001 1
 
0.1%
061-754-8787 1
 
0.1%
061-723-3826 1
 
0.1%
061-727-3883 1
 
0.1%
Other values (310) 310
44.3%
2024-04-06T18:02:31.818309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 638
12.4%
0 523
 
10.1%
1 467
 
9.0%
7 445
 
8.6%
6 435
 
8.4%
2 376
 
7.3%
4 253
 
4.9%
5 199
 
3.9%
194
 
3.8%
데 190
 
3.7%
Other values (9) 1445
28.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3190
61.8%
Other Letter 1140
 
22.1%
Dash Punctuation 638
 
12.4%
Space Separator 194
 
3.8%
Other Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 523
16.4%
1 467
14.6%
7 445
13.9%
6 435
13.6%
2 376
11.8%
4 253
7.9%
5 199
 
6.2%
8 184
 
5.8%
9 171
 
5.4%
3 137
 
4.3%
Other Letter
ValueCountFrequency (%)
데 190
16.7%
이 190
16.7%
계 190
16.7%
집 190
16.7%
미 190
16.7%
터 190
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 638
100.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4025
77.9%
Hangul 1140
 
22.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 638
15.9%
0 523
13.0%
1 467
11.6%
7 445
11.1%
6 435
10.8%
2 376
9.3%
4 253
 
6.3%
5 199
 
4.9%
194
 
4.8%
8 184
 
4.6%
Other values (3) 311
7.7%
Hangul
ValueCountFrequency (%)
데 190
16.7%
이 190
16.7%
계 190
16.7%
집 190
16.7%
미 190
16.7%
터 190
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4025
77.9%
Hangul 1140
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 638
15.9%
0 523
13.0%
1 467
11.6%
7 445
11.1%
6 435
10.8%
2 376
9.3%
4 253
 
6.3%
5 199
 
4.9%
194
 
4.8%
8 184
 
4.6%
Other values (3) 311
7.7%
Hangul
ValueCountFrequency (%)
데 190
16.7%
이 190
16.7%
계 190
16.7%
집 190
16.7%
미 190
16.7%
터 190
16.7%

Interactions

2024-04-06T18:02:25.098114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-06T18:02:25.377742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:02:25.574381image/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

등록번호상호명우편번호소재지 지번주소소재지 도로명주소전화번호
0나4112-52우리부동산중개인사무소57939전라남도 순천시 동외동 198-13전라남도 순천시 북부시장1길 26 (동외동)061-752-6023
1나4112-64청운부동산중개인사무소57959전라남도 순천시 남정동 550-1전라남도 순천시 하인제길 40 (남정동)061-744-6440
2가4112-36승리부동산중개인사무소57957전라남도 순천시 저전동 231-24전라남도 순천시 청사큰길 30061-744-0247
3가4112-68성동부동산중개인사무소57959전라남도 순천시 인제동 39-3전라남도 순천시 성남뒷길 30061-753-6333
4가4112-69믿음부동산중개인사무소57956전라남도 순천시 장천동 173전라남도 순천시 중앙5길 11 (장천동)061-744-7887
5가4112-81중앙부동산중개인사무소57957전라남도 순천시 저전동 185-15전라남도 순천시 중앙로 67-1061-752-1055
6가4112-106호남부동산중개인영업소57959전라남도 순천시 인제동 46-13전라남도 순천시 성남뒷길 26 (인제동)061-741-6275
7가4112-62양운승공인중개사사무소57932전라남도 순천시 왕지동 879-3전라남도 순천시 지봉로 633061-722-8880
8가4112-217억대공인중개사사무소57933전라남도 순천시 조례동 724전라남도 순천시 백강로 407 (조례동)061-722-4919
9가4112-240해룡부동산공인중개사사무소58019전라남도 순천시 해룡면 월전리 411-3전라남도 순천시 해룡면 해룡로 1137 (해룡면)061-724-2626
등록번호상호명우편번호소재지 지번주소소재지 도로명주소전화번호
49646150-2023-00050프라임공인중개사사무소57986전라남도 순천시 연향동 1463-1 201호전라남도 순천시 기적의도서관길 24 201호데이터 미집계
49746150-2023-00051모드공인중개사사무소57989전라남도 순천시 연향동 1387 상가동 113호전라남도 순천시 연향1로 40 상가동 113호데이터 미집계
49846150-2023-00052네모공인중개사사무소57989전라남도 순천시 연향동 1387 상가동 113호전라남도 순천시 연향1로 40 상가동 113호데이터 미집계
49946150-2024-00001오천호반부동산공인중개사사무소57998전라남도 순천시 오천동 951 212동 102호전라남도 순천시 오천7길 11 212동 102호데이터 미집계
50046150-2024-00002한양공인중개사사무소57936전라남도 순천시 용당동 772 상가동 B206호전라남도 순천시 삼산로 173 상가동 B206호데이터 미집계
50146150-2024-00003에이스공인중개사사무소58003전라남도 순천시 연향동 1610-7 102호전라남도 순천시 안산길 18 102호데이터 미집계
50246150-2024-00004퍼스트공인중개사사무소57932전라남도 순천시 왕지동 878-2 101-1호전라남도 순천시 왕지로 36 101-1호061-744-9447
50346150-2024-00005남양휴튼공인중개사사무소57947전라남도 순천시 조례동 550 상가동 103호전라남도 순천시 조례1길 60 상가동 103호데이터 미집계
50446150-2024-00006규림부동산공인중개사사무소57987전라남도 순천시 연향동 1494-1전라남도 순천시 대석길 2데이터 미집계
50546150-2024-00007더킹공인중개사사무소57939전라남도 순천시 석현동 31-3전라남도 순천시 삼산초등길 38데이터 미집계