Overview

Dataset statistics

Number of variables4
Number of observations1125
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.4 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description대전광역시 서구 관내 부동산 중개업소 현황에 대한 데이터로 부동산 중개업소의 상호, 소재지, 영업현황의 항목을 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/3075628/fileData.do

Alerts

영업현황 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:39:35.201628
Analysis finished2023-12-12 01:39:36.040469
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean563
Minimum1
Maximum1125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2023-12-12T10:39:36.139092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.2
Q1282
median563
Q3844
95-th percentile1068.8
Maximum1125
Range1124
Interquartile range (IQR)562

Descriptive statistics

Standard deviation324.90383
Coefficient of variation (CV)0.57709384
Kurtosis-1.2
Mean563
Median Absolute Deviation (MAD)281
Skewness0
Sum633375
Variance105562.5
MonotonicityStrictly increasing
2023-12-12T10:39:36.342755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
749 1
 
0.1%
755 1
 
0.1%
754 1
 
0.1%
753 1
 
0.1%
752 1
 
0.1%
751 1
 
0.1%
750 1
 
0.1%
748 1
 
0.1%
757 1
 
0.1%
Other values (1115) 1115
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1125 1
0.1%
1124 1
0.1%
1123 1
0.1%
1122 1
0.1%
1121 1
0.1%
1120 1
0.1%
1119 1
0.1%
1118 1
0.1%
1117 1
0.1%
1116 1
0.1%

사무소명
Text

Distinct1119
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T10:39:36.609838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length11.510222
Min length7

Characters and Unicode

Total characters12949
Distinct characters432
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

Unique1113 ?
Unique (%)98.9%

Sample

1st row배재마을부동산중개인사무소
2nd row명지부동산중개인사무소
3rd rowLG공인중개사사무소
4th row백합공인중개사사무소
5th row태명공인중개사사무소
ValueCountFrequency (%)
공인중개사사무소 4
 
0.4%
대림공인중개사사무소 2
 
0.2%
케이공인중개사사무소 2
 
0.2%
갤러리부동산중개법인 2
 
0.2%
양지공인중개사사무소 2
 
0.2%
대우부동산중개인사무소 2
 
0.2%
한뜰공인중개사사무소 2
 
0.2%
미스터홈즈부동산공인중개사사무소 2
 
0.2%
베스트공인중개사사무소 1
 
0.1%
신태양공인중개사사무소 1
 
0.1%
Other values (1112) 1112
98.2%
2023-12-12T10:39:37.037744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2202
17.0%
개 1133
 
8.7%
중 1129
 
8.7%
무 1119
 
8.6%
소 1118
 
8.6%
인 1109
 
8.6%
공 1088
 
8.4%
산 164
 
1.3%
동 153
 
1.2%
부 151
 
1.2%
Other values (422) 3583
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12785
98.7%
Decimal Number 68
 
0.5%
Uppercase Letter 48
 
0.4%
Lowercase Letter 33
 
0.3%
Space Separator 7
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2202
17.2%
개 1133
 
8.9%
중 1129
 
8.8%
무 1119
 
8.8%
소 1118
 
8.7%
인 1109
 
8.7%
공 1088
 
8.5%
산 164
 
1.3%
동 153
 
1.2%
부 151
 
1.2%
Other values (379) 3419
26.7%
Uppercase Letter
ValueCountFrequency (%)
K 9
18.8%
A 4
 
8.3%
O 4
 
8.3%
N 4
 
8.3%
S 4
 
8.3%
E 3
 
6.2%
R 2
 
4.2%
C 2
 
4.2%
G 2
 
4.2%
L 2
 
4.2%
Other values (9) 12
25.0%
Decimal Number
ValueCountFrequency (%)
1 29
42.6%
4 12
17.6%
2 7
 
10.3%
3 7
 
10.3%
5 4
 
5.9%
0 2
 
2.9%
7 2
 
2.9%
9 2
 
2.9%
8 2
 
2.9%
6 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
e 18
54.5%
n 3
 
9.1%
o 3
 
9.1%
t 2
 
6.1%
h 2
 
6.1%
w 2
 
6.1%
k 1
 
3.0%
j 1
 
3.0%
a 1
 
3.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12785
98.7%
Common 83
 
0.6%
Latin 81
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2202
17.2%
개 1133
 
8.9%
중 1129
 
8.8%
무 1119
 
8.8%
소 1118
 
8.7%
인 1109
 
8.7%
공 1088
 
8.5%
산 164
 
1.3%
동 153
 
1.2%
부 151
 
1.2%
Other values (379) 3419
26.7%
Latin
ValueCountFrequency (%)
e 18
22.2%
K 9
 
11.1%
A 4
 
4.9%
O 4
 
4.9%
N 4
 
4.9%
S 4
 
4.9%
E 3
 
3.7%
n 3
 
3.7%
o 3
 
3.7%
t 2
 
2.5%
Other values (18) 27
33.3%
Common
ValueCountFrequency (%)
1 29
34.9%
4 12
14.5%
2 7
 
8.4%
3 7
 
8.4%
7
 
8.4%
5 4
 
4.8%
) 3
 
3.6%
( 3
 
3.6%
0 2
 
2.4%
7 2
 
2.4%
Other values (5) 7
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12785
98.7%
ASCII 164
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2202
17.2%
개 1133
 
8.9%
중 1129
 
8.8%
무 1119
 
8.8%
소 1118
 
8.7%
인 1109
 
8.7%
공 1088
 
8.5%
산 164
 
1.3%
동 153
 
1.2%
부 151
 
1.2%
Other values (379) 3419
26.7%
ASCII
ValueCountFrequency (%)
1 29
17.7%
e 18
 
11.0%
4 12
 
7.3%
K 9
 
5.5%
2 7
 
4.3%
3 7
 
4.3%
7
 
4.3%
A 4
 
2.4%
O 4
 
2.4%
5 4
 
2.4%
Other values (33) 63
38.4%

사무소주소
Text

Distinct1079
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T10:39:37.352383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length30.322667
Min length16

Characters and Unicode

Total characters34113
Distinct characters298
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1034 ?
Unique (%)91.9%

Sample

1st row대전광역시 서구 배재로 177 1층 (도마동)
2nd row대전광역시 서구 계백로 1432 (도마2동)
3rd row대전광역시 서구 만년남로3번길 45 (만년동)
4th row대전광역시 서구 청사서로 29 상가120호(월평동,샛별(아))
5th row대전광역시 서구 월평로 98-1 (월평1동)
ValueCountFrequency (%)
대전광역시 1125
 
17.3%
서구 1125
 
17.3%
1층 205
 
3.2%
상가동 103
 
1.6%
상가 81
 
1.2%
도산로 62
 
1.0%
101호 48
 
0.7%
도안동로 47
 
0.7%
도솔로 39
 
0.6%
둔산로 35
 
0.5%
Other values (1326) 3634
55.9%
2023-12-12T10:39:37.934466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5389
 
15.8%
1 2186
 
6.4%
대 1247
 
3.7%
동 1220
 
3.6%
서 1184
 
3.5%
구 1153
 
3.4%
시 1150
 
3.4%
역 1137
 
3.3%
전 1135
 
3.3%
광 1126
 
3.3%
Other values (288) 17186
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19564
57.4%
Decimal Number 6604
 
19.4%
Space Separator 5389
 
15.8%
Open Punctuation 1002
 
2.9%
Close Punctuation 1002
 
2.9%
Other Punctuation 366
 
1.1%
Dash Punctuation 144
 
0.4%
Uppercase Letter 35
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1247
 
6.4%
동 1220
 
6.2%
서 1184
 
6.1%
구 1153
 
5.9%
시 1150
 
5.9%
역 1137
 
5.8%
전 1135
 
5.8%
광 1126
 
5.8%
로 1103
 
5.6%
호 797
 
4.1%
Other values (255) 8312
42.5%
Decimal Number
ValueCountFrequency (%)
1 2186
33.1%
0 920
13.9%
2 806
 
12.2%
3 599
 
9.1%
4 456
 
6.9%
5 432
 
6.5%
7 356
 
5.4%
6 351
 
5.3%
8 261
 
4.0%
9 237
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 13
37.1%
A 8
22.9%
T 3
 
8.6%
F 2
 
5.7%
P 2
 
5.7%
R 2
 
5.7%
K 2
 
5.7%
S 1
 
2.9%
C 1
 
2.9%
M 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 355
97.0%
@ 7
 
1.9%
/ 2
 
0.5%
. 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 1001
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1001
99.9%
] 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
83.3%
b 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19564
57.4%
Common 14508
42.5%
Latin 41
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1247
 
6.4%
동 1220
 
6.2%
서 1184
 
6.1%
구 1153
 
5.9%
시 1150
 
5.9%
역 1137
 
5.8%
전 1135
 
5.8%
광 1126
 
5.8%
로 1103
 
5.6%
호 797
 
4.1%
Other values (255) 8312
42.5%
Common
ValueCountFrequency (%)
5389
37.1%
1 2186
15.1%
( 1001
 
6.9%
) 1001
 
6.9%
0 920
 
6.3%
2 806
 
5.6%
3 599
 
4.1%
4 456
 
3.1%
5 432
 
3.0%
7 356
 
2.5%
Other values (11) 1362
 
9.4%
Latin
ValueCountFrequency (%)
B 13
31.7%
A 8
19.5%
e 5
 
12.2%
T 3
 
7.3%
F 2
 
4.9%
P 2
 
4.9%
R 2
 
4.9%
K 2
 
4.9%
S 1
 
2.4%
b 1
 
2.4%
Other values (2) 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19564
57.4%
ASCII 14549
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5389
37.0%
1 2186
15.0%
( 1001
 
6.9%
) 1001
 
6.9%
0 920
 
6.3%
2 806
 
5.5%
3 599
 
4.1%
4 456
 
3.1%
5 432
 
3.0%
7 356
 
2.4%
Other values (23) 1403
 
9.6%
Hangul
ValueCountFrequency (%)
대 1247
 
6.4%
동 1220
 
6.2%
서 1184
 
6.1%
구 1153
 
5.9%
시 1150
 
5.9%
역 1137
 
5.8%
전 1135
 
5.8%
광 1126
 
5.8%
로 1103
 
5.6%
호 797
 
4.1%
Other values (255) 8312
42.5%

영업현황
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
영업중
1125 

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 1125
100.0%

Length

2023-12-12T10:39:38.152741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:39:38.304323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1125
100.0%

Interactions

2023-12-12T10:39:35.690704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T10:39:35.863324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:39:35.986414image/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

번호사무소명사무소주소영업현황
01배재마을부동산중개인사무소대전광역시 서구 배재로 177 1층 (도마동)영업중
12명지부동산중개인사무소대전광역시 서구 계백로 1432 (도마2동)영업중
23LG공인중개사사무소대전광역시 서구 만년남로3번길 45 (만년동)영업중
34백합공인중개사사무소대전광역시 서구 청사서로 29 상가120호(월평동,샛별(아))영업중
45태명공인중개사사무소대전광역시 서구 월평로 98-1 (월평1동)영업중
56소망공인중개사사무소대전광역시 서구 갈마로 56 1층 104호 (갈마동)영업중
67둔지미공인중개사사무소대전광역시 서구 청사로 120 101호(월평동)영업중
78상록수공인중개사사무소대전광역시 서구 만년남로 8 상가 113호(만년동,상록수(아))영업중
89문정공인중개사사무소대전광역시 서구 문정로170번길 192 (둔산3동)영업중
910솔로몬공인중개사사무소대전광역시 서구 월평로48번길 8 1층(월평1동)영업중
번호사무소명사무소주소영업현황
11151116온누리공인중개사사무소대전광역시 서구 유등로483번길 24 1층(용문동)영업중
11161117하이공인중개사사무소대전광역시 서구 계룡로342번길 47 1층 101호(갈마동)영업중
11171118현대부동산공인중개사사무소대전광역시 서구 만년남로 8 상록수아파트 상가동 1층 115호영업중
11181119행복공인중개사사무소대전광역시 서구 둔산중로 54 센티온빌딩 612호(둔산동)영업중
11191120더나은공인중개사사무소대전광역시 서구 월평새뜸로8번길 45 1층 좌측(월평동)영업중
11201121녹원다온공인중개사사무소대전광역시 서구 둔산남로 30 상가 106호(둔산동, 녹원아파트)영업중
11211122더원2공인중개사사무소대전광역시 서구 조달청길 186 1층(도마동)영업중
11221123둔산자이우리부동산공인중개사사무소대전광역시 서구 갈마로147번길 87 102호(갈마동)영업중
11231124잇츠청담공인중개사사무소대전광역시 서구 도산로 131-1 1층(도마동)영업중
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