Overview

Dataset statistics

Number of variables5
Number of observations246
Missing cells4
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description대전광역시 서구 관내에서 운영중인 방문판매업현황(대표자명, 법인 또는 상호, 취급품목 등) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15113073/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
취급품목 has 4 (1.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:24:42.887053
Analysis finished2023-12-12 13:24:43.609882
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct246
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.5
Minimum1
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T22:24:43.710521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.25
Q162.25
median123.5
Q3184.75
95-th percentile233.75
Maximum246
Range245
Interquartile range (IQR)122.5

Descriptive statistics

Standard deviation71.158274
Coefficient of variation (CV)0.57618036
Kurtosis-1.2
Mean123.5
Median Absolute Deviation (MAD)61.5
Skewness0
Sum30381
Variance5063.5
MonotonicityStrictly increasing
2023-12-12T22:24:43.889655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
156 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
Other values (236) 236
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%

대표자명
Text

Distinct53
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:24:44.112846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1097561
Min length2

Characters and Unicode

Total characters765
Distinct characters49
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)8.9%

Sample

1st row문**
2nd row조**
3rd row배**
4th row노**
5th row윤**
ValueCountFrequency (%)
김 44
17.7%
이 44
17.7%
박 24
 
9.7%
최 11
 
4.4%
정 10
 
4.0%
신 9
 
3.6%
조 8
 
3.2%
윤 7
 
2.8%
송 6
 
2.4%
오 6
 
2.4%
Other values (41) 79
31.9%
2023-12-12T22:24:44.488488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 505
66.0%
이 48
 
6.3%
김 46
 
6.0%
박 26
 
3.4%
최 12
 
1.6%
정 10
 
1.3%
신 9
 
1.2%
조 8
 
1.0%
윤 7
 
0.9%
송 6
 
0.8%
Other values (39) 88
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 510
66.7%
Other Letter 253
33.1%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 48
19.0%
김 46
18.2%
박 26
 
10.3%
최 12
 
4.7%
정 10
 
4.0%
신 9
 
3.6%
조 8
 
3.2%
윤 7
 
2.8%
송 6
 
2.4%
오 6
 
2.4%
Other values (36) 75
29.6%
Other Punctuation
ValueCountFrequency (%)
* 505
99.0%
， 5
 
1.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
66.9%
Hangul 253
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 48
19.0%
김 46
18.2%
박 26
 
10.3%
최 12
 
4.7%
정 10
 
4.0%
신 9
 
3.6%
조 8
 
3.2%
윤 7
 
2.8%
송 6
 
2.4%
오 6
 
2.4%
Other values (36) 75
29.6%
Common
ValueCountFrequency (%)
* 505
98.6%
， 5
 
1.0%
2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
66.3%
Hangul 253
33.1%
None 5
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 505
99.6%
2
 
0.4%
Hangul
ValueCountFrequency (%)
이 48
19.0%
김 46
18.2%
박 26
 
10.3%
최 12
 
4.7%
정 10
 
4.0%
신 9
 
3.6%
조 8
 
3.2%
윤 7
 
2.8%
송 6
 
2.4%
오 6
 
2.4%
Other values (36) 75
29.6%
None
ValueCountFrequency (%)
， 5
100.0%

법인또는상호
Text

Distinct243
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:24:44.767438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length18
Mean length8.304878
Min length2

Characters and Unicode

Total characters2043
Distinct characters375
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)98.4%

Sample

1st row버섯마을
2nd row주식회사 우경아이앤씨
3rd row종근당건강헬스벨스토리 대전둔산점
4th row주식회사 다인위드
5th row(주)인듀어
ValueCountFrequency (%)
주식회사 44
 
12.0%
주 8
 
2.2%
아모레카운셀러 4
 
1.1%
에치와이 3
 
0.8%
남양유업 3
 
0.8%
알즈너 3
 
0.8%
아가월드 2
 
0.5%
ltd 2
 
0.5%
마임 2
 
0.5%
윤선생영어교실 2
 
0.5%
Other values (287) 293
80.1%
2023-12-12T22:24:45.578441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
5.9%
사 76
 
3.7%
주 73
 
3.6%
대 48
 
2.3%
스 48
 
2.3%
회 47
 
2.3%
이 45
 
2.2%
식 45
 
2.2%
리 42
 
2.1%
( 40
 
2.0%
Other values (365) 1458
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1714
83.9%
Space Separator 121
 
5.9%
Uppercase Letter 71
 
3.5%
Lowercase Letter 43
 
2.1%
Open Punctuation 40
 
2.0%
Close Punctuation 40
 
2.0%
Decimal Number 8
 
0.4%
Other Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 76
 
4.4%
주 73
 
4.3%
대 48
 
2.8%
스 48
 
2.8%
회 47
 
2.7%
이 45
 
2.6%
식 45
 
2.6%
리 42
 
2.5%
점 35
 
2.0%
지 31
 
1.8%
Other values (315) 1224
71.4%
Uppercase Letter
ValueCountFrequency (%)
C 8
 
11.3%
I 6
 
8.5%
S 6
 
8.5%
L 5
 
7.0%
E 5
 
7.0%
T 5
 
7.0%
R 4
 
5.6%
M 4
 
5.6%
G 4
 
5.6%
A 3
 
4.2%
Other values (12) 21
29.6%
Lowercase Letter
ValueCountFrequency (%)
o 10
23.3%
d 5
11.6%
n 4
 
9.3%
t 3
 
7.0%
e 3
 
7.0%
i 3
 
7.0%
s 2
 
4.7%
c 2
 
4.7%
u 2
 
4.7%
r 2
 
4.7%
Other values (6) 7
16.3%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
5 2
25.0%
6 1
12.5%
1 1
12.5%
7 1
12.5%
9 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1717
84.0%
Common 212
 
10.4%
Latin 114
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 76
 
4.4%
주 73
 
4.3%
대 48
 
2.8%
스 48
 
2.8%
회 47
 
2.7%
이 45
 
2.6%
식 45
 
2.6%
리 42
 
2.4%
점 35
 
2.0%
지 31
 
1.8%
Other values (316) 1227
71.5%
Latin
ValueCountFrequency (%)
o 10
 
8.8%
C 8
 
7.0%
I 6
 
5.3%
S 6
 
5.3%
L 5
 
4.4%
E 5
 
4.4%
T 5
 
4.4%
d 5
 
4.4%
n 4
 
3.5%
R 4
 
3.5%
Other values (28) 56
49.1%
Common
ValueCountFrequency (%)
121
57.1%
( 40
 
18.9%
) 40
 
18.9%
. 2
 
0.9%
3 2
 
0.9%
5 2
 
0.9%
6 1
 
0.5%
& 1
 
0.5%
1 1
 
0.5%
7 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1714
83.9%
ASCII 326
 
16.0%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
37.1%
( 40
 
12.3%
) 40
 
12.3%
o 10
 
3.1%
C 8
 
2.5%
I 6
 
1.8%
S 6
 
1.8%
L 5
 
1.5%
E 5
 
1.5%
T 5
 
1.5%
Other values (39) 80
24.5%
Hangul
ValueCountFrequency (%)
사 76
 
4.4%
주 73
 
4.3%
대 48
 
2.8%
스 48
 
2.8%
회 47
 
2.7%
이 45
 
2.6%
식 45
 
2.6%
리 42
 
2.5%
점 35
 
2.0%
지 31
 
1.8%
Other values (315) 1224
71.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

취급품목
Text

MISSING 

Distinct52
Distinct (%)21.5%
Missing4
Missing (%)1.6%
Memory size2.1 KiB
2023-12-12T22:24:45.790780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length63
Mean length8.5082645
Min length2

Characters and Unicode

Total characters2059
Distinct characters40
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

Unique35 ?
Unique (%)14.5%

Sample

1st row기타
2nd row통신기기
3rd row건강식품 화장품/미용용품
4th row기타
5th row화장품/미용용품
ValueCountFrequency (%)
기타 109
27.3%
건강식품 79
19.8%
화장품/미용용품 73
18.3%
통신기기 32
 
8.0%
생활용품/세제류 29
 
7.3%
교육/도서 19
 
4.8%
가전 17
 
4.3%
컴퓨터/사무용품 14
 
3.5%
의류/패션 12
 
3.0%
자동차/자동차용품 9
 
2.3%
2023-12-12T22:24:46.155116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 283
13.7%
용 198
 
9.6%
기 173
 
8.4%
/ 162
 
7.9%
157
 
7.6%
타 109
 
5.3%
건 79
 
3.8%
강 79
 
3.8%
식 79
 
3.8%
미 73
 
3.5%
Other values (30) 667
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
84.5%
Other Punctuation 162
 
7.9%
Space Separator 157
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 283
16.3%
용 198
 
11.4%
기 173
 
9.9%
타 109
 
6.3%
건 79
 
4.5%
강 79
 
4.5%
식 79
 
4.5%
미 73
 
4.2%
장 73
 
4.2%
화 73
 
4.2%
Other values (28) 521
29.9%
Other Punctuation
ValueCountFrequency (%)
/ 162
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
84.5%
Common 319
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 283
16.3%
용 198
 
11.4%
기 173
 
9.9%
타 109
 
6.3%
건 79
 
4.5%
강 79
 
4.5%
식 79
 
4.5%
미 73
 
4.2%
장 73
 
4.2%
화 73
 
4.2%
Other values (28) 521
29.9%
Common
ValueCountFrequency (%)
/ 162
50.8%
157
49.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
84.5%
ASCII 319
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 283
16.3%
용 198
 
11.4%
기 173
 
9.9%
타 109
 
6.3%
건 79
 
4.5%
강 79
 
4.5%
식 79
 
4.5%
미 73
 
4.2%
장 73
 
4.2%
화 73
 
4.2%
Other values (28) 521
29.9%
ASCII
ValueCountFrequency (%)
/ 162
50.8%
157
49.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2022-09-13
246 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-13
2nd row2022-09-13
3rd row2022-09-13
4th row2022-09-13
5th row2022-09-13

Common Values

ValueCountFrequency (%)
2022-09-13 246
100.0%

Length

2023-12-12T22:24:46.296889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:46.392922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-13 246
100.0%

Interactions

2023-12-12T22:24:43.328546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:24:46.455458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대표자명취급품목
순번1.0000.0000.482
대표자명0.0001.0000.399
취급품목0.4820.3991.000

Missing values

2023-12-12T22:24:43.447095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:24:43.562527image/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

순번대표자명법인또는상호취급품목데이터기준일자
01문**버섯마을기타2022-09-13
12조**주식회사 우경아이앤씨통신기기2022-09-13
23배**종근당건강헬스벨스토리 대전둔산점건강식품 화장품/미용용품2022-09-13
34노**주식회사 다인위드기타2022-09-13
45윤**(주)인듀어화장품/미용용품2022-09-13
56양**제이케이 대전점화장품/미용용품2022-09-13
67이**，이**주식회사 시겐건강식품 화장품/미용용품2022-09-13
78전**미디어믹스건강식품2022-09-13
89김**씨에스 네트워크컴퓨터/사무용품 통신기기2022-09-13
910강**아모레카운셀러화장품/미용용품2022-09-13
순번대표자명법인또는상호취급품목데이터기준일자
236237정**현대월평판매대리점기타2022-09-13
237238오**두코기타2022-09-13
238239이**현대대전용문판매대리점기타2022-09-13
239240김**기아자동차남선대리점기타2022-09-13
240241양**LG오휘화장품기타2022-09-13
241242안** 안**(주)프뢰벨교육원기타2022-09-13
242243김**(주)생그린기타2022-09-13
243244변**튼튼교육(주)대전서부지사기타2022-09-13
244245신**신형상사기타2022-09-13
245246우**경원상사기타2022-09-13