Overview

Dataset statistics

Number of variables5
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.7 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description대전광역시 중구 전화권유 판매업에 관한 데이터 번호, 관리번호, 법인 또는 상호, 소재지주소, 취급품목 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15106309/fileData.do

Alerts

번호 has unique valuesUnique
관리번호 has unique valuesUnique
법인또는상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:29:48.332015
Analysis finished2023-12-12 18:29:48.805035
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T03:29:48.954860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-13T03:29:49.111025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

관리번호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T03:29:49.332098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.040816
Min length14

Characters and Unicode

Total characters688
Distinct characters15
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

Unique49 ?
Unique (%)100.0%

Sample

1st row2023-대전중구-0007
2nd row2023-대전중구-0006
3rd row2023-대전중구-0005
4th row2023-대전중구-0004
5th row2023-대전중구-0003
ValueCountFrequency (%)
2023-대전중구-0007 1
 
2.0%
2019-대전중구-0006 1
 
2.0%
2018-대전중구-0009 1
 
2.0%
2018-대전중구-0005 1
 
2.0%
2018-대전중구-0004 1
 
2.0%
2018-대전중구-0002 1
 
2.0%
2017-대전중구-0011 1
 
2.0%
2017-대전중구-0004 1
 
2.0%
2017-대전중구-0003 1
 
2.0%
2017-대전중구-0002 1
 
2.0%
Other values (39) 39
79.6%
2023-12-13T03:29:49.714427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 206
29.9%
- 98
14.2%
2 86
12.5%
대 49
 
7.1%
전 49
 
7.1%
중 49
 
7.1%
구 49
 
7.1%
1 40
 
5.8%
3 12
 
1.7%
7 10
 
1.5%
Other values (5) 40
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 394
57.3%
Other Letter 196
28.5%
Dash Punctuation 98
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 206
52.3%
2 86
21.8%
1 40
 
10.2%
3 12
 
3.0%
7 10
 
2.5%
8 10
 
2.5%
5 9
 
2.3%
4 8
 
2.0%
6 7
 
1.8%
9 6
 
1.5%
Other Letter
ValueCountFrequency (%)
대 49
25.0%
전 49
25.0%
중 49
25.0%
구 49
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
71.5%
Hangul 196
 
28.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 206
41.9%
- 98
19.9%
2 86
17.5%
1 40
 
8.1%
3 12
 
2.4%
7 10
 
2.0%
8 10
 
2.0%
5 9
 
1.8%
4 8
 
1.6%
6 7
 
1.4%
Hangul
ValueCountFrequency (%)
대 49
25.0%
전 49
25.0%
중 49
25.0%
구 49
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
71.5%
Hangul 196
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 206
41.9%
- 98
19.9%
2 86
17.5%
1 40
 
8.1%
3 12
 
2.4%
7 10
 
2.0%
8 10
 
2.0%
5 9
 
1.8%
4 8
 
1.6%
6 7
 
1.4%
Hangul
ValueCountFrequency (%)
대 49
25.0%
전 49
25.0%
중 49
25.0%
구 49
25.0%

법인또는상호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T03:29:49.970516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length8.3265306
Min length3

Characters and Unicode

Total characters408
Distinct characters158
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

Unique49 ?
Unique (%)100.0%

Sample

1st row케이에스마케팅
2nd row주식회사 더한힘
3rd row대한자연의학연구소 주식회사
4th row대한당뇨고혈압협회주식회사
5th row제이와이컴퍼니
ValueCountFrequency (%)
주식회사 18
 
23.4%
주 4
 
5.2%
씨엠비 2
 
2.6%
나누리정보통신 1
 
1.3%
비앤제이 1
 
1.3%
주)감성 1
 
1.3%
제이에스(js)글로벌 1
 
1.3%
중앙코퍼레이션 1
 
1.3%
더미인 1
 
1.3%
주)황금렌탈 1
 
1.3%
Other values (46) 46
59.7%
2023-12-13T03:29:50.371924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 28
 
6.9%
28
 
6.9%
사 22
 
5.4%
회 21
 
5.1%
식 20
 
4.9%
이 14
 
3.4%
스 11
 
2.7%
( 10
 
2.5%
) 10
 
2.5%
에 6
 
1.5%
Other values (148) 238
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
84.1%
Space Separator 28
 
6.9%
Uppercase Letter 11
 
2.7%
Open Punctuation 10
 
2.5%
Close Punctuation 10
 
2.5%
Decimal Number 3
 
0.7%
Lowercase Letter 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
8.2%
사 22
 
6.4%
회 21
 
6.1%
식 20
 
5.8%
이 14
 
4.1%
스 11
 
3.2%
에 6
 
1.7%
인 6
 
1.7%
비 5
 
1.5%
삼 5
 
1.5%
Other values (131) 205
59.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
R 1
 
9.1%
I 1
 
9.1%
M 1
 
9.1%
E 1
 
9.1%
T 1
 
9.1%
Y 1
 
9.1%
V 1
 
9.1%
J 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
84.1%
Common 52
 
12.7%
Latin 13
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
8.2%
사 22
 
6.4%
회 21
 
6.1%
식 20
 
5.8%
이 14
 
4.1%
스 11
 
3.2%
에 6
 
1.7%
인 6
 
1.7%
비 5
 
1.5%
삼 5
 
1.5%
Other values (131) 205
59.8%
Latin
ValueCountFrequency (%)
S 3
23.1%
R 1
 
7.7%
c 1
 
7.7%
n 1
 
7.7%
I 1
 
7.7%
M 1
 
7.7%
E 1
 
7.7%
T 1
 
7.7%
Y 1
 
7.7%
V 1
 
7.7%
Common
ValueCountFrequency (%)
28
53.8%
( 10
 
19.2%
) 10
 
19.2%
1 2
 
3.8%
. 1
 
1.9%
4 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
84.1%
ASCII 65
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 28
 
8.2%
사 22
 
6.4%
회 21
 
6.1%
식 20
 
5.8%
이 14
 
4.1%
스 11
 
3.2%
에 6
 
1.7%
인 6
 
1.7%
비 5
 
1.5%
삼 5
 
1.5%
Other values (131) 205
59.8%
ASCII
ValueCountFrequency (%)
28
43.1%
( 10
 
15.4%
) 10
 
15.4%
S 3
 
4.6%
1 2
 
3.1%
R 1
 
1.5%
. 1
 
1.5%
c 1
 
1.5%
n 1
 
1.5%
I 1
 
1.5%
Other values (7) 7
 
10.8%

소재지주소
Text

Distinct29
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T03:29:50.588050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length18.326531
Min length18

Characters and Unicode

Total characters898
Distinct characters49
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

Unique21 ?
Unique (%)42.9%

Sample

1st row대전광역시 중구 목중로 (중촌동)
2nd row대전광역시 중구 대흥로 (대사동)
3rd row대전광역시 중구 대전천서로 (은행동)
4th row대전광역시 중구 대전천서로 (은행동)
5th row대전광역시 중구 대종로 (대흥동)
ValueCountFrequency (%)
대전광역시 49
24.9%
중구 49
24.9%
대종로 12
 
6.1%
선화동 12
 
6.1%
오류동 11
 
5.6%
계백로 8
 
4.1%
대흥동 8
 
4.1%
계룡로 7
 
3.6%
중앙로 5
 
2.5%
중촌동 3
 
1.5%
Other values (23) 33
16.8%
2023-12-13T03:29:51.209523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
16.6%
대 78
 
8.7%
중 58
 
6.5%
전 51
 
5.7%
동 51
 
5.7%
로 49
 
5.5%
( 49
 
5.5%
) 49
 
5.5%
시 49
 
5.5%
역 49
 
5.5%
Other values (39) 266
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 648
72.2%
Space Separator 149
 
16.6%
Open Punctuation 49
 
5.5%
Close Punctuation 49
 
5.5%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 78
12.0%
중 58
 
9.0%
전 51
 
7.9%
동 51
 
7.9%
로 49
 
7.6%
시 49
 
7.6%
역 49
 
7.6%
광 49
 
7.6%
구 49
 
7.6%
계 15
 
2.3%
Other values (33) 150
23.1%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
6 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 648
72.2%
Common 250
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 78
12.0%
중 58
 
9.0%
전 51
 
7.9%
동 51
 
7.9%
로 49
 
7.6%
시 49
 
7.6%
역 49
 
7.6%
광 49
 
7.6%
구 49
 
7.6%
계 15
 
2.3%
Other values (33) 150
23.1%
Common
ValueCountFrequency (%)
149
59.6%
( 49
 
19.6%
) 49
 
19.6%
8 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 648
72.2%
ASCII 250
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
59.6%
( 49
 
19.6%
) 49
 
19.6%
8 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
Hangul
ValueCountFrequency (%)
대 78
12.0%
중 58
 
9.0%
전 51
 
7.9%
동 51
 
7.9%
로 49
 
7.6%
시 49
 
7.6%
역 49
 
7.6%
광 49
 
7.6%
구 49
 
7.6%
계 15
 
2.3%
Other values (33) 150
23.1%

취급품목
Categorical

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size524.0 B
건강식품
19 
기타
17 
통신기기
5 
통신기기 기타
2 
생활용품/세제류 가전 컴퓨터/사무용품 통신기기 기타
 
1
Other values (5)
5 

Length

Max length28
Median length11
Mean length4.244898
Min length2

Unique

Unique6 ?
Unique (%)12.2%

Sample

1st row건강식품
2nd row건강식품
3rd row건강식품
4th row건강식품
5th row건강식품

Common Values

ValueCountFrequency (%)
건강식품 19
38.8%
기타 17
34.7%
통신기기 5
 
10.2%
통신기기 기타 2
 
4.1%
생활용품/세제류 가전 컴퓨터/사무용품 통신기기 기타 1
 
2.0%
기타 컴퓨터/사무용품 1
 
2.0%
건강식품 기타 1
 
2.0%
가전 기타 1
 
2.0%
교육/도서 1
 
2.0%
생활용품/세제류 1
 
2.0%

Length

2023-12-13T03:29:51.374972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:51.508647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 23
39.7%
건강식품 20
34.5%
통신기기 8
 
13.8%
생활용품/세제류 2
 
3.4%
가전 2
 
3.4%
컴퓨터/사무용품 2
 
3.4%
교육/도서 1
 
1.7%

Interactions

2023-12-13T03:29:48.554560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:29:51.625062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관리번호법인또는상호소재지주소취급품목
번호1.0001.0001.0000.6520.525
관리번호1.0001.0001.0001.0001.000
법인또는상호1.0001.0001.0001.0001.000
소재지주소0.6521.0001.0001.0000.000
취급품목0.5251.0001.0000.0001.000
2023-12-13T03:29:51.738598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.148
취급품목0.1481.000

Missing values

2023-12-13T03:29:48.669965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:29:48.764999image/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

번호관리번호법인또는상호소재지주소취급품목
012023-대전중구-0007케이에스마케팅대전광역시 중구 목중로 (중촌동)건강식품
122023-대전중구-0006주식회사 더한힘대전광역시 중구 대흥로 (대사동)건강식품
232023-대전중구-0005대한자연의학연구소 주식회사대전광역시 중구 대전천서로 (은행동)건강식품
342023-대전중구-0004대한당뇨고혈압협회주식회사대전광역시 중구 대전천서로 (은행동)건강식품
452023-대전중구-0003제이와이컴퍼니대전광역시 중구 대종로 (대흥동)건강식품
562023-대전중구-0002삼광이엔지대전광역시 중구 계백로 (유천동)기타
672023-대전중구-0001사계절입찰대전광역시 중구 계백로 (오류동)기타
782022-대전중구-0008엠케이 파트너스 주식회사대전광역시 중구 계백로 (오류동)건강식품
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