Overview

Dataset statistics

Number of variables7
Number of observations284
Missing cells65
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.7 KiB
Average record size in memory56.5 B

Variable types

Categorical3
Text2
DateTime2

Dataset

Description제주특별자치도 제주시 관내 소재중인 출판인쇄업 관련 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15010651/fileData.do

Alerts

구분명 has constant value ""Constant
상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 65 (22.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:46:26.186706
Analysis finished2023-12-12 20:46:26.761465
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
출판인쇄업
284 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 284
100.0%

Length

2023-12-13T05:46:26.847825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:26.970952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 284
100.0%
Distinct278
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T05:46:27.198936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.1161972
Min length2

Characters and Unicode

Total characters1737
Distinct characters269
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

Unique273 ?
Unique (%)96.1%

Sample

1st row(복)춘강
2nd row(주)CS
3rd row(주)누리커뮤니케이션
4th row(주)대신건설에이디
5th row(주)디오위드
ValueCountFrequency (%)
주식회사 22
 
6.6%
디자인 10
 
3.0%
아람 3
 
0.9%
아트21 2
 
0.6%
도서출판 2
 
0.6%
주)디자인플레이 2
 
0.6%
희망나래 2
 
0.6%
제주콤 2
 
0.6%
디몽 2
 
0.6%
애드플러스 1
 
0.3%
Other values (285) 285
85.6%
2023-12-13T05:46:27.602455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
8.7%
114
 
6.6%
96
 
5.5%
66
 
3.8%
63
 
3.6%
52
 
3.0%
50
 
2.9%
33
 
1.9%
28
 
1.6%
) 27
 
1.6%
Other values (259) 1057
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1573
90.6%
Space Separator 50
 
2.9%
Close Punctuation 27
 
1.6%
Open Punctuation 26
 
1.5%
Lowercase Letter 26
 
1.5%
Uppercase Letter 25
 
1.4%
Other Punctuation 6
 
0.3%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
151
 
9.6%
114
 
7.2%
96
 
6.1%
66
 
4.2%
63
 
4.0%
52
 
3.3%
33
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (227) 918
58.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
28.0%
P 3
12.0%
S 3
12.0%
D 2
 
8.0%
I 2
 
8.0%
K 1
 
4.0%
J 1
 
4.0%
O 1
 
4.0%
L 1
 
4.0%
B 1
 
4.0%
Other values (3) 3
12.0%
Lowercase Letter
ValueCountFrequency (%)
s 4
15.4%
o 3
11.5%
i 3
11.5%
g 3
11.5%
n 3
11.5%
e 3
11.5%
m 2
7.7%
u 2
7.7%
d 1
 
3.8%
r 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 2
33.3%
, 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1573
90.6%
Common 113
 
6.5%
Latin 51
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
151
 
9.6%
114
 
7.2%
96
 
6.1%
66
 
4.2%
63
 
4.0%
52
 
3.3%
33
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (227) 918
58.4%
Latin
ValueCountFrequency (%)
C 7
13.7%
s 4
 
7.8%
o 3
 
5.9%
P 3
 
5.9%
i 3
 
5.9%
g 3
 
5.9%
n 3
 
5.9%
S 3
 
5.9%
e 3
 
5.9%
m 2
 
3.9%
Other values (14) 17
33.3%
Common
ValueCountFrequency (%)
50
44.2%
) 27
23.9%
( 26
23.0%
. 3
 
2.7%
1 2
 
1.8%
& 2
 
1.8%
2 2
 
1.8%
, 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1573
90.6%
ASCII 164
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
151
 
9.6%
114
 
7.2%
96
 
6.1%
66
 
4.2%
63
 
4.0%
52
 
3.3%
33
 
2.1%
28
 
1.8%
26
 
1.7%
26
 
1.7%
Other values (227) 918
58.4%
ASCII
ValueCountFrequency (%)
50
30.5%
) 27
16.5%
( 26
15.9%
C 7
 
4.3%
s 4
 
2.4%
o 3
 
1.8%
P 3
 
1.8%
i 3
 
1.8%
g 3
 
1.8%
n 3
 
1.8%
Other values (22) 35
21.3%

읍면동
Categorical

Distinct26
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
이도이동
64 
삼도일동
30 
일도이동
28 
삼도이동
22 
아라일동
16 
Other values (21)
124 

Length

Max length4
Median length4
Mean length3.7359155
Min length2

Unique

Unique4 ?
Unique (%)1.4%

Sample

1st row아라일동
2nd row영평동
3rd row영평동
4th row화북이동
5th row이도이동

Common Values

ValueCountFrequency (%)
이도이동 64
22.5%
삼도일동 30
10.6%
일도이동 28
9.9%
삼도이동 22
 
7.7%
아라일동 16
 
5.6%
연동 14
 
4.9%
이도일동 13
 
4.6%
용담일동 12
 
4.2%
영평동 12
 
4.2%
노형동 10
 
3.5%
Other values (16) 63
22.2%

Length

2023-12-13T05:46:27.744874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이도이동 64
22.5%
삼도일동 30
10.6%
일도이동 28
9.9%
삼도이동 22
 
7.7%
아라일동 16
 
5.6%
연동 14
 
4.9%
이도일동 13
 
4.6%
용담일동 12
 
4.2%
영평동 12
 
4.2%
노형동 10
 
3.5%
Other values (16) 63
22.2%

전화번호
Text

MISSING 

Distinct206
Distinct (%)94.1%
Missing65
Missing (%)22.9%
Memory size2.3 KiB
2023-12-13T05:46:27.988024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters2628
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

Unique194 ?
Unique (%)88.6%

Sample

1st row064-702-7854
2nd row064-756-1633
3rd row064-748-1040
4th row064-758-4596
5th row064-751-8866
ValueCountFrequency (%)
064-751-6446 3
 
1.4%
064-722-9678 2
 
0.9%
064-711-0642 2
 
0.9%
064-725-6950 2
 
0.9%
064-753-7889 2
 
0.9%
064-747-8111 2
 
0.9%
064-702-7854 2
 
0.9%
064-724-9889 2
 
0.9%
064-722-1998 2
 
0.9%
064-722-6353 2
 
0.9%
Other values (196) 198
90.4%
2023-12-13T05:46:28.354166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 436
16.6%
4 370
14.1%
0 352
13.4%
6 324
12.3%
7 321
12.2%
2 194
7.4%
5 184
7.0%
1 131
 
5.0%
3 128
 
4.9%
8 112
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2192
83.4%
Dash Punctuation 436
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 370
16.9%
0 352
16.1%
6 324
14.8%
7 321
14.6%
2 194
8.9%
5 184
8.4%
1 131
 
6.0%
3 128
 
5.8%
8 112
 
5.1%
9 76
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 436
16.6%
4 370
14.1%
0 352
13.4%
6 324
12.3%
7 321
12.2%
2 194
7.4%
5 184
7.0%
1 131
 
5.0%
3 128
 
4.9%
8 112
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 436
16.6%
4 370
14.1%
0 352
13.4%
6 324
12.3%
7 321
12.2%
2 194
7.4%
5 184
7.0%
1 131
 
5.0%
3 128
 
4.9%
8 112
 
4.3%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
284 

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 284
100.0%

Length

2023-12-13T05:46:28.492047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:46:28.578654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 284
100.0%
Distinct271
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1957-02-15 00:00:00
Maximum2021-07-21 00:00:00
2023-12-13T05:46:28.690729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:46:28.831034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-09-01 00:00:00
Maximum2021-09-01 00:00:00
2023-12-13T05:46:28.951028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:46:29.046063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T05:46:26.518990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:46:26.691683image/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

구분명사업장명읍면동전화번호상세영업상태명인허가일자데이터기준일자
0출판인쇄업(복)춘강아라일동064-702-7854영업중2016-11-242021-09-01
1출판인쇄업(주)CS영평동064-756-1633영업중2019-01-082021-09-01
2출판인쇄업(주)누리커뮤니케이션영평동064-748-1040영업중2006-04-212021-09-01
3출판인쇄업(주)대신건설에이디화북이동064-758-4596영업중2018-06-152021-09-01
4출판인쇄업(주)디오위드이도이동064-751-8866영업중2018-11-142021-09-01
5출판인쇄업(주)디자인플레이도남동064-751-6446영업중2013-01-042021-09-01
6출판인쇄업(주)디자인플레이오등동064-751-6446영업중2018-05-312021-09-01
7출판인쇄업(주)보그화북일동064-757-7170영업중2017-11-012021-09-01
8출판인쇄업(주)세현디자인이도이동064-756-0411영업중2020-01-142021-09-01
9출판인쇄업(주)아이존코리아연동064-745-7300영업중2012-08-062021-09-01
구분명사업장명읍면동전화번호상세영업상태명인허가일자데이터기준일자
274출판인쇄업한진인쇄사오라일동064-757-9051영업중1994-05-262021-09-01
275출판인쇄업해동인쇄사삼도일동064-751-0340영업중2002-04-182021-09-01
276출판인쇄업행복나무 주식회사용담일동064-748-4302영업중2017-03-172021-09-01
277출판인쇄업행운애드컴이도이동064-721-4044영업중2021-03-162021-09-01
278출판인쇄업현대정판삼도이동064-700-0000영업중1993-11-172021-09-01
279출판인쇄업협성인쇄사용담일동<NA>영업중1985-11-122021-09-01
280출판인쇄업혼글오라일동064-758-3306영업중1995-02-082021-09-01
281출판인쇄업홍익문화사용담일동064-757-3479영업중1994-08-042021-09-01
282출판인쇄업화천기업이도일동064-702-4273영업중2021-06-162021-09-01
283출판인쇄업희망나래 일터이도일동<NA>영업중2017-05-252021-09-01