Overview

Dataset statistics

Number of variables4
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory35.6 B

Variable types

Categorical2
Text2

Dataset

Description경상남도 밀양시 소재의 출판사 현황에 대한 데이터로, 업종, 사업체명칭, 사업체소재지, 영업상태에 대한 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15061086/fileData.do

Alerts

업종 has constant value ""Constant
영업상태 has constant value ""Constant
사업체명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:12:33.751613
Analysis finished2023-12-12 10:12:34.089428
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
출판사
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 37
100.0%

Length

2023-12-12T19:12:34.166078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:12:34.281488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 37
100.0%

사업체명칭
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T19:12:34.476459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length6.9189189
Min length2

Characters and Unicode

Total characters256
Distinct characters126
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row(주) 도서출판 밀양
2nd row동성출판사
3rd row삼성출판인쇄소
4th row아트원종합출판 인쇄사
5th row밀양신문사 인쇄출판국
ValueCountFrequency (%)
주 1
 
2.2%
디자인숲 1
 
2.2%
장난 1
 
2.2%
모듬(modeem 1
 
2.2%
예준출판사 1
 
2.2%
아웃오브박스 1
 
2.2%
핑거맵북 1
 
2.2%
홍미광고인쇄 1
 
2.2%
정진문화사 1
 
2.2%
송림출판인쇄사 1
 
2.2%
Other values (35) 35
77.8%
2023-12-12T19:12:34.839364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 14
 
5.5%
출 13
 
5.1%
판 13
 
5.1%
사 10
 
3.9%
쇄 10
 
3.9%
8
 
3.1%
디 4
 
1.6%
문 4
 
1.6%
신 4
 
1.6%
미 4
 
1.6%
Other values (116) 172
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
82.0%
Lowercase Letter 22
 
8.6%
Space Separator 8
 
3.1%
Uppercase Letter 6
 
2.3%
Open Punctuation 4
 
1.6%
Close Punctuation 4
 
1.6%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 14
 
6.7%
출 13
 
6.2%
판 13
 
6.2%
사 10
 
4.8%
쇄 10
 
4.8%
디 4
 
1.9%
문 4
 
1.9%
신 4
 
1.9%
미 4
 
1.9%
아 4
 
1.9%
Other values (96) 130
61.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
13.6%
e 3
13.6%
a 3
13.6%
h 2
9.1%
i 2
9.1%
n 2
9.1%
d 2
9.1%
m 2
9.1%
s 1
 
4.5%
k 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
B 2
33.3%
D 1
16.7%
M 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210
82.0%
Latin 28
 
10.9%
Common 18
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 14
 
6.7%
출 13
 
6.2%
판 13
 
6.2%
사 10
 
4.8%
쇄 10
 
4.8%
디 4
 
1.9%
문 4
 
1.9%
신 4
 
1.9%
미 4
 
1.9%
아 4
 
1.9%
Other values (96) 130
61.9%
Latin
ValueCountFrequency (%)
o 3
10.7%
e 3
10.7%
a 3
10.7%
h 2
 
7.1%
i 2
 
7.1%
n 2
 
7.1%
d 2
 
7.1%
m 2
 
7.1%
S 2
 
7.1%
B 2
 
7.1%
Other values (5) 5
17.9%
Common
ValueCountFrequency (%)
8
44.4%
( 4
22.2%
) 4
22.2%
. 1
 
5.6%
& 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
82.0%
ASCII 46
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 14
 
6.7%
출 13
 
6.2%
판 13
 
6.2%
사 10
 
4.8%
쇄 10
 
4.8%
디 4
 
1.9%
문 4
 
1.9%
신 4
 
1.9%
미 4
 
1.9%
아 4
 
1.9%
Other values (96) 130
61.9%
ASCII
ValueCountFrequency (%)
8
17.4%
( 4
 
8.7%
) 4
 
8.7%
o 3
 
6.5%
e 3
 
6.5%
a 3
 
6.5%
h 2
 
4.3%
i 2
 
4.3%
n 2
 
4.3%
d 2
 
4.3%
Other values (10) 13
28.3%

사업체소재지(도로명)
Text

Distinct29
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T19:12:35.053826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length27
Mean length17.756757
Min length11

Characters and Unicode

Total characters657
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)64.9%

Sample

1st row경상남도 밀양시 백민로 94 (내이동)
2nd row경상남도 밀양시 중앙로 427 (내이동)
3rd row경상남도 밀양시 북성로 28 (내이동)
4th row경상남도 밀양시 새미1길 39, 1층 (교동)
5th row경상남도 밀양시 북성로2길 15-19 (내이동)
ValueCountFrequency (%)
경상남도 37
24.5%
밀양시 37
24.5%
내이동 15
 
9.9%
부북면 5
 
3.3%
삼문동 4
 
2.6%
교동 3
 
2.0%
중앙로 3
 
2.0%
1층 2
 
1.3%
밀성로 2
 
1.3%
상남면 2
 
1.3%
Other values (36) 41
27.2%
2023-12-12T19:12:35.525906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
18.1%
상 42
 
6.4%
남 41
 
6.2%
밀 40
 
6.1%
시 38
 
5.8%
경 37
 
5.6%
도 37
 
5.6%
양 37
 
5.6%
동 27
 
4.1%
내 18
 
2.7%
Other values (54) 221
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 438
66.7%
Space Separator 119
 
18.1%
Decimal Number 60
 
9.1%
Open Punctuation 15
 
2.3%
Close Punctuation 15
 
2.3%
Dash Punctuation 7
 
1.1%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 42
 
9.6%
남 41
 
9.4%
밀 40
 
9.1%
시 38
 
8.7%
경 37
 
8.4%
도 37
 
8.4%
양 37
 
8.4%
동 27
 
6.2%
내 18
 
4.1%
로 15
 
3.4%
Other values (39) 106
24.2%
Decimal Number
ValueCountFrequency (%)
1 15
25.0%
2 12
20.0%
3 9
15.0%
9 6
 
10.0%
4 6
 
10.0%
6 3
 
5.0%
0 3
 
5.0%
8 2
 
3.3%
7 2
 
3.3%
5 2
 
3.3%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
66.7%
Common 219
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 42
 
9.6%
남 41
 
9.4%
밀 40
 
9.1%
시 38
 
8.7%
경 37
 
8.4%
도 37
 
8.4%
양 37
 
8.4%
동 27
 
6.2%
내 18
 
4.1%
로 15
 
3.4%
Other values (39) 106
24.2%
Common
ValueCountFrequency (%)
119
54.3%
( 15
 
6.8%
) 15
 
6.8%
1 15
 
6.8%
2 12
 
5.5%
3 9
 
4.1%
- 7
 
3.2%
9 6
 
2.7%
4 6
 
2.7%
6 3
 
1.4%
Other values (5) 12
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 438
66.7%
ASCII 219
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
54.3%
( 15
 
6.8%
) 15
 
6.8%
1 15
 
6.8%
2 12
 
5.5%
3 9
 
4.1%
- 7
 
3.2%
9 6
 
2.7%
4 6
 
2.7%
6 3
 
1.4%
Other values (5) 12
 
5.5%
Hangul
ValueCountFrequency (%)
상 42
 
9.6%
남 41
 
9.4%
밀 40
 
9.1%
시 38
 
8.7%
경 37
 
8.4%
도 37
 
8.4%
양 37
 
8.4%
동 27
 
6.2%
내 18
 
4.1%
로 15
 
3.4%
Other values (39) 106
24.2%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업중
37 

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 37
100.0%

Length

2023-12-12T19:12:35.693766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:12:35.841341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 37
100.0%

Correlations

2023-12-12T19:12:35.932714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업체명칭사업체소재지(도로명)
사업체명칭1.0001.000
사업체소재지(도로명)1.0001.000

Missing values

2023-12-12T19:12:33.938554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:12:34.049284image/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

업종사업체명칭사업체소재지(도로명)영업상태
0출판사(주) 도서출판 밀양경상남도 밀양시 백민로 94 (내이동)영업중
1출판사동성출판사경상남도 밀양시 중앙로 427 (내이동)영업중
2출판사삼성출판인쇄소경상남도 밀양시 북성로 28 (내이동)영업중
3출판사아트원종합출판 인쇄사경상남도 밀양시 새미1길 39, 1층 (교동)영업중
4출판사밀양신문사 인쇄출판국경상남도 밀양시 북성로2길 15-19 (내이동)영업중
5출판사게릴라경상남도 밀양시 부북면 창밀로 3097-16영업중
6출판사신도페이퍼경상남도 밀양시 산내면영업중
7출판사미타원경상남도 밀양시 단장면영업중
8출판사아랑종합인쇄출판경상남도 밀양시 약산로 23-1 (내이동)영업중
9출판사사명대사업적기념회경상남도 밀양시 무안면영업중
업종사업체명칭사업체소재지(도로명)영업상태
27출판사청년문화쉼터 화악산방경상남도 밀양시 부북면영업중
28출판사능엄우주경상남도 밀양시 상남면 상남로 1040-2영업중
29출판사에리카인문학연구소경상남도 밀양시 내일동영업중
30출판사지낭경상남도 밀양시 삼랑진읍영업중
31출판사신신북스(ShinShinBooks)경상남도 밀양시 상남면영업중
32출판사아랑인쇄출판광고경상남도 밀양시 백민로 98 (내이동)영업중
33출판사달빛도량경상남도 밀양시 삼문동영업중
34출판사바다드림(BadaDream)경상남도 밀양시 내이동영업중
35출판사빛나는 시선경상남도 밀양시 내이동영업중
36출판사디자인톡인쇄경상남도 밀양시 중앙로 234-3, 유성청구상가타운 2동 1층 133호 (삼문동)영업중