Overview

Dataset statistics

Number of variables5
Number of observations28
Missing cells10
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.7 B

Variable types

Categorical2
Text3

Dataset

Description인천광역시 서구의 식품첨가물제조업의 현황(업종명, 업소명, 소재지, 전화번호 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089490/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 10 (35.7%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:37:56.086756
Analysis finished2023-12-12 14:37:56.451902
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
식품첨가물제조업
28 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 28
100.0%

Length

2023-12-12T23:37:56.513611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:56.608148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 28
100.0%

업소명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T23:37:56.783808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length7.2142857
Min length2

Characters and Unicode

Total characters202
Distinct characters82
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row(주)극동이씨티
2nd row(주)사조대림
3rd row(주)삼양사
4th row대정산업(주)
5th row서원
ValueCountFrequency (%)
주식회사 4
 
12.5%
주)디앤푸드 1
 
3.1%
알오에스 1
 
3.1%
제일건강 1
 
3.1%
주)대광에이치엠 1
 
3.1%
주)슈퍼내츄럴스 1
 
3.1%
주)리우물산 1
 
3.1%
서연크린테크 1
 
3.1%
인천장애인사회적협동조합 1
 
3.1%
세이프코리아주식회사 1
 
3.1%
Other values (19) 19
59.4%
2023-12-12T23:37:57.107208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
9.9%
( 15
 
7.4%
) 15
 
7.4%
사 9
 
4.5%
회 6
 
3.0%
에 5
 
2.5%
식 5
 
2.5%
리 5
 
2.5%
4
 
2.0%
코 4
 
2.0%
Other values (72) 114
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
83.2%
Open Punctuation 15
 
7.4%
Close Punctuation 15
 
7.4%
Space Separator 4
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
11.9%
사 9
 
5.4%
회 6
 
3.6%
에 5
 
3.0%
식 5
 
3.0%
리 5
 
3.0%
코 4
 
2.4%
크 4
 
2.4%
스 4
 
2.4%
아 4
 
2.4%
Other values (69) 102
60.7%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
83.2%
Common 34
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
11.9%
사 9
 
5.4%
회 6
 
3.6%
에 5
 
3.0%
식 5
 
3.0%
리 5
 
3.0%
코 4
 
2.4%
크 4
 
2.4%
스 4
 
2.4%
아 4
 
2.4%
Other values (69) 102
60.7%
Common
ValueCountFrequency (%)
( 15
44.1%
) 15
44.1%
4
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
83.2%
ASCII 34
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
11.9%
사 9
 
5.4%
회 6
 
3.6%
에 5
 
3.0%
식 5
 
3.0%
리 5
 
3.0%
코 4
 
2.4%
크 4
 
2.4%
스 4
 
2.4%
아 4
 
2.4%
Other values (69) 102
60.7%
ASCII
ValueCountFrequency (%)
( 15
44.1%
) 15
44.1%
4
 
11.8%

소재지(도로명)
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T23:37:57.378328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length34.035714
Min length22

Characters and Unicode

Total characters953
Distinct characters111
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 건지로250번길 76 (가좌동)
2nd row인천광역시 서구 봉수대로 126 (가좌동)
3rd row인천광역시 서구 백범로 726 (가좌동)
4th row인천광역시 서구 거북로 40-2, C동 105호 (석남동, 223-541 C동 105호)
5th row인천광역시 서구 중봉대로 160 (가좌동,A동 1층)
ValueCountFrequency (%)
인천광역시 28
 
14.4%
서구 28
 
14.4%
오류동 10
 
5.1%
가좌동 9
 
4.6%
블루텍 7
 
3.6%
158 7
 
3.6%
보듬로 7
 
3.6%
1층 6
 
3.1%
공존동 5
 
2.6%
석남동 4
 
2.1%
Other values (71) 84
43.1%
2023-12-12T23:37:57.802557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
17.5%
동 43
 
4.5%
1 41
 
4.3%
( 30
 
3.1%
) 30
 
3.1%
광 29
 
3.0%
, 29
 
3.0%
천 28
 
2.9%
인 28
 
2.9%
서 28
 
2.9%
Other values (101) 500
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
54.1%
Space Separator 167
 
17.5%
Decimal Number 157
 
16.5%
Open Punctuation 30
 
3.1%
Close Punctuation 30
 
3.1%
Other Punctuation 30
 
3.1%
Uppercase Letter 14
 
1.5%
Dash Punctuation 6
 
0.6%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
8.3%
광 29
 
5.6%
천 28
 
5.4%
인 28
 
5.4%
서 28
 
5.4%
구 28
 
5.4%
역 28
 
5.4%
시 28
 
5.4%
로 27
 
5.2%
층 17
 
3.3%
Other values (74) 232
45.0%
Decimal Number
ValueCountFrequency (%)
1 41
26.1%
2 27
17.2%
5 14
 
8.9%
3 14
 
8.9%
8 13
 
8.3%
0 13
 
8.3%
4 12
 
7.6%
6 11
 
7.0%
7 7
 
4.5%
9 5
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
C 2
14.3%
A 2
14.3%
O 2
14.3%
I 1
 
7.1%
F 1
 
7.1%
D 1
 
7.1%
P 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
33.3%
a 1
33.3%
k 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 29
96.7%
. 1
 
3.3%
Space Separator
ValueCountFrequency (%)
167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
54.1%
Common 420
44.1%
Latin 17
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
8.3%
광 29
 
5.6%
천 28
 
5.4%
인 28
 
5.4%
서 28
 
5.4%
구 28
 
5.4%
역 28
 
5.4%
시 28
 
5.4%
로 27
 
5.2%
층 17
 
3.3%
Other values (74) 232
45.0%
Common
ValueCountFrequency (%)
167
39.8%
1 41
 
9.8%
( 30
 
7.1%
) 30
 
7.1%
, 29
 
6.9%
2 27
 
6.4%
5 14
 
3.3%
3 14
 
3.3%
8 13
 
3.1%
0 13
 
3.1%
Other values (6) 42
 
10.0%
Latin
ValueCountFrequency (%)
B 4
23.5%
C 2
11.8%
A 2
11.8%
O 2
11.8%
r 1
 
5.9%
I 1
 
5.9%
F 1
 
5.9%
D 1
 
5.9%
P 1
 
5.9%
a 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
54.1%
ASCII 437
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
38.2%
1 41
 
9.4%
( 30
 
6.9%
) 30
 
6.9%
, 29
 
6.6%
2 27
 
6.2%
5 14
 
3.2%
3 14
 
3.2%
8 13
 
3.0%
0 13
 
3.0%
Other values (17) 59
 
13.5%
Hangul
ValueCountFrequency (%)
동 43
 
8.3%
광 29
 
5.6%
천 28
 
5.4%
인 28
 
5.4%
서 28
 
5.4%
구 28
 
5.4%
역 28
 
5.4%
시 28
 
5.4%
로 27
 
5.2%
층 17
 
3.3%
Other values (74) 232
45.0%

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing10
Missing (%)35.7%
Memory size356.0 B
2023-12-12T23:37:58.035392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.055556
Min length10

Characters and Unicode

Total characters217
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

Unique18 ?
Unique (%)100.0%

Sample

1st row032-578-2175
2nd row032-570-0374
3rd row032-570-8222
4th row032-584-3051
5th row031-985-0158
ValueCountFrequency (%)
031-604-2700 1
 
5.6%
032-570-8222 1
 
5.6%
032-220-6462 1
 
5.6%
1544-6903 1
 
5.6%
070-7707-0419 1
 
5.6%
032-342-3336 1
 
5.6%
070-8245-9671 1
 
5.6%
032-568-9996 1
 
5.6%
032-561-5209 1
 
5.6%
032-578-2175 1
 
5.6%
Other values (8) 8
44.4%
2023-12-12T23:37:58.404516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
18.9%
- 36
16.6%
2 27
12.4%
3 21
9.7%
5 19
8.8%
4 15
 
6.9%
1 14
 
6.5%
7 14
 
6.5%
6 11
 
5.1%
8 10
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
83.4%
Dash Punctuation 36
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
22.7%
2 27
14.9%
3 21
11.6%
5 19
10.5%
4 15
 
8.3%
1 14
 
7.7%
7 14
 
7.7%
6 11
 
6.1%
8 10
 
5.5%
9 9
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
18.9%
- 36
16.6%
2 27
12.4%
3 21
9.7%
5 19
8.8%
4 15
 
6.9%
1 14
 
6.5%
7 14
 
6.5%
6 11
 
5.1%
8 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
18.9%
- 36
16.6%
2 27
12.4%
3 21
9.7%
5 19
8.8%
4 15
 
6.9%
1 14
 
6.5%
7 14
 
6.5%
6 11
 
5.1%
8 10
 
4.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-10-26
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-26
2nd row2023-10-26
3rd row2023-10-26
4th row2023-10-26
5th row2023-10-26

Common Values

ValueCountFrequency (%)
2023-10-26 28
100.0%

Length

2023-12-12T23:37:58.566178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:58.682827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-26 28
100.0%

Correlations

2023-12-12T23:37:58.757681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)전화번호
업소명1.0001.0001.000
소재지(도로명)1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T23:37:56.320456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:37:56.411815image/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

업종명업소명소재지(도로명)전화번호데이터기준일자
0식품첨가물제조업(주)극동이씨티인천광역시 서구 건지로250번길 76 (가좌동)032-578-21752023-10-26
1식품첨가물제조업(주)사조대림인천광역시 서구 봉수대로 126 (가좌동)032-570-03742023-10-26
2식품첨가물제조업(주)삼양사인천광역시 서구 백범로 726 (가좌동)032-570-82222023-10-26
3식품첨가물제조업대정산업(주)인천광역시 서구 거북로 40-2, C동 105호 (석남동, 223-541 C동 105호)032-584-30512023-10-26
4식품첨가물제조업서원인천광역시 서구 중봉대로 160 (가좌동,A동 1층)<NA>2023-10-26
5식품첨가물제조업에스앤비인천광역시 서구 보듬로 158, 블루텍 1109호 (오류동)031-985-01582023-10-26
6식품첨가물제조업동인메디텍(주)인천광역시 서구 원적로47번길 36 (가좌동)070-4140-00102023-10-26
7식품첨가물제조업신우에프엠인천광역시 서구 소담로58번길 9, 1층일부(I-FOOD Park산업단지내) (금곡동)031-988-56482023-10-26
8식품첨가물제조업만세테크인천광역시 서구 보듬로 158, 공존동 524호 (오류동, 블루텍)032-220-55242023-10-26
9식품첨가물제조업(주)선그린인천광역시 서구 소담로 25 (주)선그린 식품제조공장 1층, 2층, 3층 (금곡동)031-604-27002023-10-26
업종명업소명소재지(도로명)전화번호데이터기준일자
18식품첨가물제조업(주)바이텍코리아인천광역시 서구 보듬로 158, 블루텍 공존동 443호 (오류동)<NA>2023-10-26
19식품첨가물제조업세이프코리아주식회사인천광역시 서구 백범로910번길 27, 2층 (가좌동)<NA>2023-10-26
20식품첨가물제조업인천장애인사회적협동조합인천광역시 서구 보듬로 158, 블루텍 공존동 B236-1호 (오류동)<NA>2023-10-26
21식품첨가물제조업주식회사 서연크린테크인천광역시 서구 이든1로 44, B동 3층 일부호 (오류동)032-342-33362023-10-26
22식품첨가물제조업(주)리우물산인천광역시 서구 도담로 188, 1동 1층 (오류동)070-7707-04192023-10-26
23식품첨가물제조업(주)슈퍼내츄럴스인천광역시 서구 건지로121번길 43-3, 1.2층 (석남동)1544-6903-2023-10-26
24식품첨가물제조업(주)대광에이치엠인천광역시 서구 새오개로16번길 2, 1층 (석남동)<NA>2023-10-26
25식품첨가물제조업제일건강인천광역시 서구 가석로 30, 광양프런티어밸리3차 716호 (가좌동)<NA>2023-10-26
26식품첨가물제조업알오에스 주식회사인천광역시 서구 백범로 681, 스마트테크노타워 202호일부 (가좌동)032-265-14142023-10-26
27식품첨가물제조업유니텍푸드코리아(주)인천광역시 서구 보듬로 158, 블루텍 공존동 730호 (오류동)<NA>2023-10-26