Overview

Dataset statistics

Number of variables6
Number of observations443
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.3 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description경상남도 창원시 마산회원구의 부동산 중개업소 현황 정보입니다. 항목은 연번, 사무소명, 중개업소구분, 중개업자명, 사무소주소입니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3077949

Alerts

시군구명 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:07:49.850818
Analysis finished2023-12-11 00:07:50.519516
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct443
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222
Minimum1
Maximum443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-11T09:07:50.591005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.1
Q1111.5
median222
Q3332.5
95-th percentile420.9
Maximum443
Range442
Interquartile range (IQR)221

Descriptive statistics

Standard deviation128.02734
Coefficient of variation (CV)0.57669973
Kurtosis-1.2
Mean222
Median Absolute Deviation (MAD)111
Skewness0
Sum98346
Variance16391
MonotonicityStrictly increasing
2023-12-11T09:07:50.748679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
293 1
 
0.2%
304 1
 
0.2%
303 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
Other values (433) 433
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
443 1
0.2%
442 1
0.2%
441 1
0.2%
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
경상남도 창원시의창구
443 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 창원시의창구
2nd row경상남도 창원시의창구
3rd row경상남도 창원시의창구
4th row경상남도 창원시의창구
5th row경상남도 창원시의창구

Common Values

ValueCountFrequency (%)
경상남도 창원시의창구 443
100.0%

Length

2023-12-11T09:07:50.883253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:07:50.991453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 443
50.0%
창원시의창구 443
50.0%

사무소명
Text

Distinct407
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T09:07:51.171635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length11.176072
Min length6

Characters and Unicode

Total characters4951
Distinct characters275
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique376 ?
Unique (%)84.9%

Sample

1st row신도시부동산중개사무소
2nd row오성부동산중개인
3rd row성수부동산중개인
4th row영진부동산중개사무소
5th row명승부동산중개인
ValueCountFrequency (%)
양지공인중개사사무소 3
 
0.7%
미래공인중개사사무소 3
 
0.7%
다원공인중개사사무소 3
 
0.7%
현대공인중개사사무소 3
 
0.7%
드림부동산공인중개사사무소 3
 
0.7%
부자공인중개사사무소 2
 
0.4%
부영공인중개사사무소 2
 
0.4%
청운공인중개사사무소 2
 
0.4%
에이스공인중개사사무소 2
 
0.4%
태양공인중개사사무소 2
 
0.4%
Other values (401) 424
94.4%
2023-12-11T09:07:51.514225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 795
16.1%
중 451
9.1%
개 445
 
9.0%
무 427
 
8.6%
소 427
 
8.6%
인 372
 
7.5%
공 363
 
7.3%
동 189
 
3.8%
부 188
 
3.8%
산 180
 
3.6%
Other values (265) 1114
22.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4869
98.3%
Uppercase Letter 35
 
0.7%
Decimal Number 34
 
0.7%
Space Separator 6
 
0.1%
Lowercase Letter 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 795
16.3%
중 451
9.3%
개 445
9.1%
무 427
8.8%
소 427
8.8%
인 372
 
7.6%
공 363
 
7.5%
동 189
 
3.9%
부 188
 
3.9%
산 180
 
3.7%
Other values (239) 1032
21.2%
Uppercase Letter
ValueCountFrequency (%)
K 7
20.0%
O 6
17.1%
N 5
14.3%
G 3
8.6%
I 2
 
5.7%
Y 2
 
5.7%
E 2
 
5.7%
L 2
 
5.7%
T 1
 
2.9%
C 1
 
2.9%
Other values (4) 4
11.4%
Decimal Number
ValueCountFrequency (%)
1 18
52.9%
4 7
 
20.6%
0 3
 
8.8%
2 2
 
5.9%
9 1
 
2.9%
3 1
 
2.9%
6 1
 
2.9%
5 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
w 3
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4868
98.3%
Common 41
 
0.8%
Latin 41
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 795
16.3%
중 451
9.3%
개 445
9.1%
무 427
8.8%
소 427
8.8%
인 372
 
7.6%
공 363
 
7.5%
동 189
 
3.9%
부 188
 
3.9%
산 180
 
3.7%
Other values (238) 1031
21.2%
Latin
ValueCountFrequency (%)
K 7
17.1%
O 6
14.6%
N 5
12.2%
e 3
7.3%
w 3
7.3%
G 3
7.3%
I 2
 
4.9%
Y 2
 
4.9%
E 2
 
4.9%
L 2
 
4.9%
Other values (6) 6
14.6%
Common
ValueCountFrequency (%)
1 18
43.9%
4 7
 
17.1%
6
 
14.6%
0 3
 
7.3%
2 2
 
4.9%
9 1
 
2.4%
3 1
 
2.4%
6 1
 
2.4%
5 1
 
2.4%
& 1
 
2.4%
Han
ValueCountFrequency (%)
福 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4868
98.3%
ASCII 82
 
1.7%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 795
16.3%
중 451
9.3%
개 445
9.1%
무 427
8.8%
소 427
8.8%
인 372
 
7.6%
공 363
 
7.5%
동 189
 
3.9%
부 188
 
3.9%
산 180
 
3.7%
Other values (238) 1031
21.2%
ASCII
ValueCountFrequency (%)
1 18
22.0%
4 7
 
8.5%
K 7
 
8.5%
O 6
 
7.3%
6
 
7.3%
N 5
 
6.1%
0 3
 
3.7%
e 3
 
3.7%
w 3
 
3.7%
G 3
 
3.7%
Other values (16) 21
25.6%
CJK
ValueCountFrequency (%)
福 1
100.0%

성명(대표자)
Text

Distinct434
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T09:07:51.844615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9887133
Min length2

Characters and Unicode

Total characters1324
Distinct characters167
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

Unique426 ?
Unique (%)96.2%

Sample

1st row정석이
2nd row최성오
3rd row강명규
4th row송호언
5th row박상민
ValueCountFrequency (%)
김경희 3
 
0.7%
이상훈 2
 
0.5%
박정숙 2
 
0.5%
박미숙 2
 
0.5%
정미경 2
 
0.5%
조승아 2
 
0.5%
전정미 2
 
0.5%
김미애 2
 
0.5%
남영희 1
 
0.2%
강성우 1
 
0.2%
Other values (424) 424
95.7%
2023-12-11T09:07:52.292553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 82
 
6.2%
정 66
 
5.0%
이 62
 
4.7%
박 47
 
3.5%
영 47
 
3.5%
미 40
 
3.0%
경 36
 
2.7%
희 34
 
2.6%
성 30
 
2.3%
진 26
 
2.0%
Other values (157) 854
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1324
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 82
 
6.2%
정 66
 
5.0%
이 62
 
4.7%
박 47
 
3.5%
영 47
 
3.5%
미 40
 
3.0%
경 36
 
2.7%
희 34
 
2.6%
성 30
 
2.3%
진 26
 
2.0%
Other values (157) 854
64.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1324
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 82
 
6.2%
정 66
 
5.0%
이 62
 
4.7%
박 47
 
3.5%
영 47
 
3.5%
미 40
 
3.0%
경 36
 
2.7%
희 34
 
2.6%
성 30
 
2.3%
진 26
 
2.0%
Other values (157) 854
64.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1324
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 82
 
6.2%
정 66
 
5.0%
이 62
 
4.7%
박 47
 
3.5%
영 47
 
3.5%
미 40
 
3.0%
경 36
 
2.7%
희 34
 
2.6%
성 30
 
2.3%
진 26
 
2.0%
Other values (157) 854
64.5%

사무소주소
Text

Distinct416
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T09:07:52.554820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length34.422122
Min length18

Characters and Unicode

Total characters15249
Distinct characters221
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

Unique392 ?
Unique (%)88.5%

Sample

1st row경상남도 창원시 의창구 대산면 진산대로 359
2nd row경상남도 창원시 의창구 북면 천주로 1047, 103호(대호아파트 상가동)
3rd row경상남도 창원시 의창구 의안로2번길 27(소답동)
4th row경상남도 창원시 의창구 의안로18번길 11(소답동)
5th row경상남도 창원시 의창구 창이대로197번길 10-6, 1층72(봉곡동,지귀상가)
ValueCountFrequency (%)
경상남도 443
 
14.6%
창원시 443
 
14.6%
의창구 442
 
14.6%
북면 79
 
2.6%
1층 68
 
2.2%
중동로 42
 
1.4%
동읍 35
 
1.2%
천주로 29
 
1.0%
대산면 28
 
0.9%
도계로 19
 
0.6%
Other values (696) 1396
46.2%
2023-12-11T09:07:52.964778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2581
 
16.9%
창 939
 
6.2%
1 713
 
4.7%
상 589
 
3.9%
시 518
 
3.4%
도 500
 
3.3%
남 487
 
3.2%
원 486
 
3.2%
의 476
 
3.1%
, 454
 
3.0%
Other values (211) 7506
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9154
60.0%
Space Separator 2581
 
16.9%
Decimal Number 2420
 
15.9%
Other Punctuation 454
 
3.0%
Close Punctuation 253
 
1.7%
Open Punctuation 253
 
1.7%
Dash Punctuation 78
 
0.5%
Uppercase Letter 56
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 939
 
10.3%
상 589
 
6.4%
시 518
 
5.7%
도 500
 
5.5%
남 487
 
5.3%
원 486
 
5.3%
의 476
 
5.2%
동 449
 
4.9%
구 445
 
4.9%
경 443
 
4.8%
Other values (177) 3822
41.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
21.4%
C 7
12.5%
T 5
8.9%
D 4
 
7.1%
S 4
 
7.1%
A 4
 
7.1%
L 4
 
7.1%
F 2
 
3.6%
X 2
 
3.6%
E 2
 
3.6%
Other values (9) 10
17.9%
Decimal Number
ValueCountFrequency (%)
1 713
29.5%
0 311
12.9%
2 301
12.4%
3 229
 
9.5%
5 198
 
8.2%
4 197
 
8.1%
9 129
 
5.3%
7 128
 
5.3%
6 123
 
5.1%
8 91
 
3.8%
Space Separator
ValueCountFrequency (%)
2581
100.0%
Other Punctuation
ValueCountFrequency (%)
, 454
100.0%
Close Punctuation
ValueCountFrequency (%)
) 253
100.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9154
60.0%
Common 6039
39.6%
Latin 56
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 939
 
10.3%
상 589
 
6.4%
시 518
 
5.7%
도 500
 
5.5%
남 487
 
5.3%
원 486
 
5.3%
의 476
 
5.2%
동 449
 
4.9%
구 445
 
4.9%
경 443
 
4.8%
Other values (177) 3822
41.8%
Latin
ValueCountFrequency (%)
B 12
21.4%
C 7
12.5%
T 5
8.9%
D 4
 
7.1%
S 4
 
7.1%
A 4
 
7.1%
L 4
 
7.1%
F 2
 
3.6%
X 2
 
3.6%
E 2
 
3.6%
Other values (9) 10
17.9%
Common
ValueCountFrequency (%)
2581
42.7%
1 713
 
11.8%
, 454
 
7.5%
0 311
 
5.1%
2 301
 
5.0%
) 253
 
4.2%
( 253
 
4.2%
3 229
 
3.8%
5 198
 
3.3%
4 197
 
3.3%
Other values (5) 549
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9154
60.0%
ASCII 6095
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2581
42.3%
1 713
 
11.7%
, 454
 
7.4%
0 311
 
5.1%
2 301
 
4.9%
) 253
 
4.2%
( 253
 
4.2%
3 229
 
3.8%
5 198
 
3.2%
4 197
 
3.2%
Other values (24) 605
 
9.9%
Hangul
ValueCountFrequency (%)
창 939
 
10.3%
상 589
 
6.4%
시 518
 
5.7%
도 500
 
5.5%
남 487
 
5.3%
원 486
 
5.3%
의 476
 
5.2%
동 449
 
4.9%
구 445
 
4.9%
경 443
 
4.8%
Other values (177) 3822
41.8%

행정동
Categorical

Distinct8
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
의창동
133 
북면
74 
봉림동
56 
팔룡동
49 
명곡동
47 
Other values (3)
84 

Length

Max length4
Median length3
Mean length2.8194131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대산면
2nd row북면
3rd row의창동
4th row의창동
5th row봉림동

Common Values

ValueCountFrequency (%)
의창동 133
30.0%
북면 74
16.7%
봉림동 56
12.6%
팔룡동 49
 
11.1%
명곡동 47
 
10.6%
동읍 31
 
7.0%
대산면 28
 
6.3%
<NA> 25
 
5.6%

Length

2023-12-11T09:07:53.116280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:07:53.242206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의창동 133
30.0%
북면 74
16.7%
봉림동 56
12.6%
팔룡동 49
 
11.1%
명곡동 47
 
10.6%
동읍 31
 
7.0%
대산면 28
 
6.3%
na 25
 
5.6%

Interactions

2023-12-11T09:07:50.247899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:07:53.345857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.174
행정동0.1741.000
2023-12-11T09:07:53.418958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.088
행정동0.0881.000

Missing values

2023-12-11T09:07:50.352138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:07:50.473228image/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

연번시군구명사무소명성명(대표자)사무소주소행정동
01경상남도 창원시의창구신도시부동산중개사무소정석이경상남도 창원시 의창구 대산면 진산대로 359대산면
12경상남도 창원시의창구오성부동산중개인최성오경상남도 창원시 의창구 북면 천주로 1047, 103호(대호아파트 상가동)북면
23경상남도 창원시의창구성수부동산중개인강명규경상남도 창원시 의창구 의안로2번길 27(소답동)의창동
34경상남도 창원시의창구영진부동산중개사무소송호언경상남도 창원시 의창구 의안로18번길 11(소답동)의창동
45경상남도 창원시의창구명승부동산중개인박상민경상남도 창원시 의창구 창이대로197번길 10-6, 1층72(봉곡동,지귀상가)봉림동
56경상남도 창원시의창구명곡부동산중개사유기준경상남도 창원시 의창구 원이대로258번길 3, 108(명서동,명서종합상가)명곡동
67경상남도 창원시의창구창원부동산중개인사무소구정도경상남도 창원시 의창구 사림로130번길 6-3, 101-1(사림동)봉림동
78경상남도 창원시의창구신창부동산공인중개사사무소정연화경상남도 창원시 의창구 대산면 진산대로 280대산면
89경상남도 창원시의창구미래공인중개사사무소김수곤경상남도 창원시 의창구 북면 천주로 493(북면)북면
910경상남도 창원시의창구학사공인중개사사무소강두용경상남도 창원시 의창구 소계로90번길 11(소계동)의창동
연번시군구명사무소명성명(대표자)사무소주소행정동
433434경상남도 창원시의창구채움부동산중개김진효경상남도 창원시 의창구 반계로 98, 상가2동 1층 102-1, 102-4호<NA>
434435경상남도 창원시의창구한길부동산공인중개사사무소배한길경상남도 창원시 의창구 의안로43번길 31, 1층<NA>
435436경상남도 창원시의창구보담공인중개사사무소한동연경상남도 창원시 의창구 평산로147번길 9, 101호<NA>
436437경상남도 창원시의창구산타부동산공인중개사사무소전상욱경상남도 창원시 의창구 용동로 45, 현대썬앤빌더스퀘어 에프동 지하1층 101호<NA>
437438경상남도 창원시의창구창원중앙역한마음부동산중개김홍철경상남도 창원시 의창구 용동로 87, 102호(사림동, 호영아너스빌딩)<NA>
438439경상남도 창원시의창구대흥부동산공인중개사사무소이경애경상남도 창원시 의창구 중동중앙로 47, 스튜디오몰동 1011호(중동, 어반브릭스)<NA>
439440경상남도 창원시의창구든든한공인중개사사무소정재희경상남도 창원시 의창구 중동로 46, 104호(중동, 창원중동유니시티1단지)<NA>
440441경상남도 창원시의창구신신부동산중개주식회사윤판석경상남도 창원시 의창구 의안로 6(소답동)의창동
441442경상남도 창원시의창구호영부동산중개법인 주식회사임출섭경상남도 창원시 의창구 용동로 87, 109호(사림동, 호영아너스빌딩)<NA>
442443경상남도 창원시의창구주식회사 이지스부동산중개법인문은숙경상남도 창원시 의창구 용동로 85, 504호(사림동, 한마음빌딩)봉림동