Overview

Dataset statistics

Number of variables5
Number of observations56
Missing cells13
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory42.4 B

Variable types

Categorical2
Text3

Dataset

Description대구광역시 수성구 관내 인쇄업현황에 대한 데이터로 사업체명칭, 소재지, 전화번호 현황에 대한 정보를 제공합니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/15054720/fileData.do

Alerts

업종 has constant value ""Constant
영업상태 has constant value ""Constant
전화번호 has 13 (23.2%) missing valuesMissing
사업체명칭 has unique valuesUnique
사업체소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:43:25.366020
Analysis finished2023-12-12 13:43:25.755628
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
인쇄사
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 56
100.0%

Length

2023-12-12T22:43:25.827432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:25.932348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 56
100.0%

사업체명칭
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T22:43:26.165278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length8.1428571
Min length3

Characters and Unicode

Total characters456
Distinct characters163
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

Unique56 ?
Unique (%)100.0%

Sample

1st row경안당애드컴, 종합인쇄
2nd row이재웅 광고기획
3rd row화신기획인쇄
4th row대보커뮤니케이션(주)
5th row일진전산
ValueCountFrequency (%)
주식회사 8
 
9.4%
도서출판 2
 
2.4%
경안당애드컴 1
 
1.2%
osha 1
 
1.2%
오샤 1
 
1.2%
디자인그룹칸 1
 
1.2%
참애드 1
 
1.2%
서원기획 1
 
1.2%
한국장애인산업협회 1
 
1.2%
사단법인 1
 
1.2%
Other values (67) 67
78.8%
2023-12-12T22:43:26.561891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.4%
인 23
 
5.0%
주 18
 
3.9%
사 16
 
3.5%
이 14
 
3.1%
) 12
 
2.6%
( 11
 
2.4%
자 11
 
2.4%
디 11
 
2.4%
회 10
 
2.2%
Other values (153) 301
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
83.8%
Space Separator 29
 
6.4%
Uppercase Letter 13
 
2.9%
Close Punctuation 12
 
2.6%
Open Punctuation 11
 
2.4%
Other Punctuation 3
 
0.7%
Lowercase Letter 3
 
0.7%
Decimal Number 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 23
 
6.0%
주 18
 
4.7%
사 16
 
4.2%
이 14
 
3.7%
자 11
 
2.9%
디 11
 
2.9%
회 10
 
2.6%
쇄 9
 
2.4%
식 8
 
2.1%
애 8
 
2.1%
Other values (130) 254
66.5%
Uppercase Letter
ValueCountFrequency (%)
O 2
15.4%
S 1
7.7%
M 1
7.7%
H 1
7.7%
A 1
7.7%
C 1
7.7%
R 1
7.7%
L 1
7.7%
Z 1
7.7%
F 1
7.7%
Other values (2) 2
15.4%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
d 1
33.3%
t 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
0 1
33.3%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
83.8%
Common 58
 
12.7%
Latin 16
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 23
 
6.0%
주 18
 
4.7%
사 16
 
4.2%
이 14
 
3.7%
자 11
 
2.9%
디 11
 
2.9%
회 10
 
2.6%
쇄 9
 
2.4%
식 8
 
2.1%
애 8
 
2.1%
Other values (130) 254
66.5%
Latin
ValueCountFrequency (%)
O 2
 
12.5%
S 1
 
6.2%
M 1
 
6.2%
H 1
 
6.2%
A 1
 
6.2%
C 1
 
6.2%
o 1
 
6.2%
d 1
 
6.2%
R 1
 
6.2%
L 1
 
6.2%
Other values (5) 5
31.2%
Common
ValueCountFrequency (%)
29
50.0%
) 12
20.7%
( 11
 
19.0%
, 2
 
3.4%
. 1
 
1.7%
2 1
 
1.7%
0 1
 
1.7%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
83.8%
ASCII 74
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
39.2%
) 12
16.2%
( 11
 
14.9%
O 2
 
2.7%
, 2
 
2.7%
S 1
 
1.4%
M 1
 
1.4%
H 1
 
1.4%
A 1
 
1.4%
C 1
 
1.4%
Other values (13) 13
17.6%
Hangul
ValueCountFrequency (%)
인 23
 
6.0%
주 18
 
4.7%
사 16
 
4.2%
이 14
 
3.7%
자 11
 
2.9%
디 11
 
2.9%
회 10
 
2.6%
쇄 9
 
2.4%
식 8
 
2.1%
애 8
 
2.1%
Other values (130) 254
66.5%

사업체소재지
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T22:43:26.873521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36.5
Mean length28.428571
Min length22

Characters and Unicode

Total characters1592
Distinct characters91
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

Unique56 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 들안로54길 41 (수성동3가)
2nd row대구광역시 수성구 명덕로75길 22 (수성동1가)
3rd row대구광역시 수성구 동대구로 379 (범어동,태운빌딩 1층)
4th row대구광역시 수성구 신천동로84길 31 (수성동4가)
5th row대구광역시 수성구 들안로8길 55 (두산동)
ValueCountFrequency (%)
대구광역시 56
 
17.4%
수성구 56
 
17.4%
범어동 11
 
3.4%
1층 11
 
3.4%
황금동 8
 
2.5%
상동 6
 
1.9%
만촌동 6
 
1.9%
두산동 6
 
1.9%
3층 6
 
1.9%
들안로 5
 
1.6%
Other values (119) 150
46.7%
2023-12-12T22:43:27.376789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
17.4%
구 120
 
7.5%
수 72
 
4.5%
성 72
 
4.5%
동 66
 
4.1%
대 65
 
4.1%
( 57
 
3.6%
) 57
 
3.6%
광 56
 
3.5%
역 56
 
3.5%
Other values (81) 694
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 915
57.5%
Space Separator 277
 
17.4%
Decimal Number 241
 
15.1%
Open Punctuation 57
 
3.6%
Close Punctuation 57
 
3.6%
Other Punctuation 33
 
2.1%
Dash Punctuation 6
 
0.4%
Uppercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 120
13.1%
수 72
 
7.9%
성 72
 
7.9%
동 66
 
7.2%
대 65
 
7.1%
광 56
 
6.1%
역 56
 
6.1%
시 56
 
6.1%
로 56
 
6.1%
길 28
 
3.1%
Other values (60) 268
29.3%
Decimal Number
ValueCountFrequency (%)
1 50
20.7%
2 43
17.8%
3 33
13.7%
4 30
12.4%
5 19
 
7.9%
6 17
 
7.1%
7 14
 
5.8%
0 12
 
5.0%
8 12
 
5.0%
9 11
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
W 1
16.7%
E 1
16.7%
I 1
16.7%
V 1
16.7%
K 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 915
57.5%
Common 671
42.1%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 120
13.1%
수 72
 
7.9%
성 72
 
7.9%
동 66
 
7.2%
대 65
 
7.1%
광 56
 
6.1%
역 56
 
6.1%
시 56
 
6.1%
로 56
 
6.1%
길 28
 
3.1%
Other values (60) 268
29.3%
Common
ValueCountFrequency (%)
277
41.3%
( 57
 
8.5%
) 57
 
8.5%
1 50
 
7.5%
2 43
 
6.4%
3 33
 
4.9%
, 33
 
4.9%
4 30
 
4.5%
5 19
 
2.8%
6 17
 
2.5%
Other values (5) 55
 
8.2%
Latin
ValueCountFrequency (%)
W 1
16.7%
E 1
16.7%
I 1
16.7%
V 1
16.7%
K 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 915
57.5%
ASCII 677
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
40.9%
( 57
 
8.4%
) 57
 
8.4%
1 50
 
7.4%
2 43
 
6.4%
3 33
 
4.9%
, 33
 
4.9%
4 30
 
4.4%
5 19
 
2.8%
6 17
 
2.5%
Other values (11) 61
 
9.0%
Hangul
ValueCountFrequency (%)
구 120
13.1%
수 72
 
7.9%
성 72
 
7.9%
동 66
 
7.2%
대 65
 
7.1%
광 56
 
6.1%
역 56
 
6.1%
시 56
 
6.1%
로 56
 
6.1%
길 28
 
3.1%
Other values (60) 268
29.3%

전화번호
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing13
Missing (%)23.2%
Memory size580.0 B
2023-12-12T22:43:27.649503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.046512
Min length12

Characters and Unicode

Total characters518
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row053-764-6464
2nd row053-741-2806
3rd row053-755-4442
4th row053-742-5673
5th row053-767-4044
ValueCountFrequency (%)
053-764-6464 1
 
2.3%
053-656-6332 1
 
2.3%
053-656-2137 1
 
2.3%
070-4119-0710 1
 
2.3%
053-472-9670 1
 
2.3%
053-765-2500 1
 
2.3%
053-252-4523 1
 
2.3%
053-217-7677 1
 
2.3%
053-214-7677 1
 
2.3%
053-252-2550 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T22:43:28.035572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.6%
0 74
14.3%
5 74
14.3%
3 63
12.2%
7 54
10.4%
6 49
9.5%
2 41
7.9%
4 31
 
6.0%
1 21
 
4.1%
8 15
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
83.4%
Dash Punctuation 86
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
17.1%
5 74
17.1%
3 63
14.6%
7 54
12.5%
6 49
11.3%
2 41
9.5%
4 31
7.2%
1 21
 
4.9%
8 15
 
3.5%
9 10
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 518
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.6%
0 74
14.3%
5 74
14.3%
3 63
12.2%
7 54
10.4%
6 49
9.5%
2 41
7.9%
4 31
 
6.0%
1 21
 
4.1%
8 15
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.6%
0 74
14.3%
5 74
14.3%
3 63
12.2%
7 54
10.4%
6 49
9.5%
2 41
7.9%
4 31
 
6.0%
1 21
 
4.1%
8 15
 
2.9%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
영업중
56 

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 56
100.0%

Length

2023-12-12T22:43:28.185370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:28.307990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 56
100.0%

Correlations

2023-12-12T22:43:28.371412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업체명칭사업체소재지전화번호
사업체명칭1.0001.0001.000
사업체소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T22:43:25.621598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:43:25.718825image/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

업종사업체명칭사업체소재지전화번호영업상태
0인쇄사경안당애드컴, 종합인쇄대구광역시 수성구 들안로54길 41 (수성동3가)053-764-6464영업중
1인쇄사이재웅 광고기획대구광역시 수성구 명덕로75길 22 (수성동1가)053-741-2806영업중
2인쇄사화신기획인쇄대구광역시 수성구 동대구로 379 (범어동,태운빌딩 1층)053-755-4442영업중
3인쇄사대보커뮤니케이션(주)대구광역시 수성구 신천동로84길 31 (수성동4가)053-742-5673영업중
4인쇄사일진전산대구광역시 수성구 들안로8길 55 (두산동)053-767-4044영업중
5인쇄사삼영종합인쇄소대구광역시 수성구 범어로27길 33 (범어동)053-756-7001영업중
6인쇄사성신인쇄사대구광역시 수성구 희망로20길 3 (중동)053-764-1770영업중
7인쇄사사)장애인기업협회영남지역특수사업단대구광역시 수성구 상록로2길 77 (범어동)<NA>영업중
8인쇄사화니콤대구광역시 수성구 들안로54길 12, 1층 (수성동3가)<NA>영업중
9인쇄사명심인쇄광고사대구광역시 수성구 용학로 166 (지산동)<NA>영업중
업종사업체명칭사업체소재지전화번호영업상태
46인쇄사도서출판 그리풀대구광역시 수성구 충의로 20 (만촌동)053-755-0668영업중
47인쇄사피플앤타이거대구광역시 수성구 들안로 264, 3층 (수성동3가)053-252-0185영업중
48인쇄사씨앤씨드림애드대구광역시 수성구 희망로 229, 황금스퀘어 6층 603호 (황금동)053-951-9226영업중
49인쇄사주식회사 예림교육대구광역시 수성구 들안로32길 51, 1층 (황금동)<NA>영업중
50인쇄사로뎀사무기대구광역시 수성구 범어로 178, 1층 (범어동)<NA>영업중
51인쇄사(주)메타에듀대구광역시 수성구 청수로26길 36, 한성스퀘어 404호 (두산동)<NA>영업중
52인쇄사주식회사 문화이야기 대구연구소대구광역시 수성구 무학로21길 26 (두산동)053-767-6848영업중
53인쇄사수정기획인쇄대구광역시 수성구 국채보상로 976, 1층 (범어동)<NA>영업중
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