Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory858.0 B
Average record size in memory39.0 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 미추홀구의 HACCP 인증업소 현황에 대한 데이터로 업소명, 소재지, 품목유현의 정보를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102308&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:00:09.806457
Analysis finished2024-03-18 05:00:11.753377
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T14:00:11.814087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-18T14:00:11.901063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

업체명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T14:00:12.056557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.4090909
Min length3

Characters and Unicode

Total characters141
Distinct characters79
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row월미제면
2nd row신현식품
3rd row케이에이치캠프
4th rowM&F
5th row농업회사법인 주식회사 청정식품
ValueCountFrequency (%)
주식회사 2
 
7.7%
월미제면 1
 
3.8%
맛나식품 1
 
3.8%
㈜태민푸드 1
 
3.8%
일월식품 1
 
3.8%
진이에프엔비주식회사 1
 
3.8%
비앤에프 1
 
3.8%
소디프 1
 
3.8%
주)아르토스 1
 
3.8%
유원식품(주 1
 
3.8%
Other values (15) 15
57.7%
2024-03-18T14:00:12.329053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 12
 
8.5%
품 9
 
6.4%
주 7
 
5.0%
이 5
 
3.5%
프 4
 
2.8%
비 4
 
2.8%
( 4
 
2.8%
4
 
2.8%
사 4
 
2.8%
회 4
 
2.8%
Other values (69) 84
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
88.7%
Open Punctuation 4
 
2.8%
Space Separator 4
 
2.8%
Close Punctuation 4
 
2.8%
Uppercase Letter 2
 
1.4%
Other Symbol 1
 
0.7%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 12
 
9.6%
품 9
 
7.2%
주 7
 
5.6%
이 5
 
4.0%
프 4
 
3.2%
비 4
 
3.2%
사 4
 
3.2%
회 4
 
3.2%
엔 3
 
2.4%
에 3
 
2.4%
Other values (62) 70
56.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
89.4%
Common 13
 
9.2%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 12
 
9.5%
품 9
 
7.1%
주 7
 
5.6%
이 5
 
4.0%
프 4
 
3.2%
비 4
 
3.2%
사 4
 
3.2%
회 4
 
3.2%
엔 3
 
2.4%
에 3
 
2.4%
Other values (63) 71
56.3%
Common
ValueCountFrequency (%)
( 4
30.8%
4
30.8%
) 4
30.8%
& 1
 
7.7%
Latin
ValueCountFrequency (%)
M 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
88.7%
ASCII 15
 
10.6%
None 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 12
 
9.6%
품 9
 
7.2%
주 7
 
5.6%
이 5
 
4.0%
프 4
 
3.2%
비 4
 
3.2%
사 4
 
3.2%
회 4
 
3.2%
엔 3
 
2.4%
에 3
 
2.4%
Other values (62) 70
56.0%
ASCII
ValueCountFrequency (%)
( 4
26.7%
4
26.7%
) 4
26.7%
M 1
 
6.7%
& 1
 
6.7%
F 1
 
6.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T14:00:12.527499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length32.227273
Min length23

Characters and Unicode

Total characters709
Distinct characters99
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

Unique22 ?
Unique (%)100.0%

Sample

1st row 인천광역시 미추홀구 독정이로10(용현동)
2nd row 인천광역시 미추홀구 석정로150번길 45 (도화동)
3rd row 인천광역시 미추홀구 염전로 330, 301~304호(주안동)
4th row 인천광역시 미추홀구 주염로 58, 시범공단로 340호
5th row 인천광역시 미추홀구 한나루로357번길 116, 3.4층(학익동)
ValueCountFrequency (%)
인천광역시 22
19.0%
미추홀구 22
19.0%
도화동 5
 
4.3%
주안동 5
 
4.3%
방축로 3
 
2.6%
송림로307번길 2
 
1.7%
주염로 2
 
1.7%
숭의동 2
 
1.7%
염전로 2
 
1.7%
방축로206번길 1
 
0.9%
Other values (50) 50
43.1%
2024-03-18T14:00:12.831312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
14.0%
인 25
 
3.5%
3 24
 
3.4%
1 23
 
3.2%
시 23
 
3.2%
미 23
 
3.2%
추 23
 
3.2%
홀 23
 
3.2%
( 22
 
3.1%
) 22
 
3.1%
Other values (89) 402
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
59.8%
Decimal Number 121
 
17.1%
Space Separator 99
 
14.0%
Open Punctuation 22
 
3.1%
Close Punctuation 22
 
3.1%
Other Punctuation 13
 
1.8%
Dash Punctuation 4
 
0.6%
Uppercase Letter 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 25
 
5.9%
시 23
 
5.4%
미 23
 
5.4%
추 23
 
5.4%
홀 23
 
5.4%
구 22
 
5.2%
역 22
 
5.2%
광 22
 
5.2%
천 22
 
5.2%
동 21
 
5.0%
Other values (70) 198
46.7%
Decimal Number
ValueCountFrequency (%)
3 24
19.8%
1 23
19.0%
2 17
14.0%
0 15
12.4%
4 10
8.3%
6 10
8.3%
5 8
 
6.6%
8 6
 
5.0%
7 5
 
4.1%
9 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
. 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
J 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
59.8%
Common 282
39.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 25
 
5.9%
시 23
 
5.4%
미 23
 
5.4%
추 23
 
5.4%
홀 23
 
5.4%
구 22
 
5.2%
역 22
 
5.2%
광 22
 
5.2%
천 22
 
5.2%
동 21
 
5.0%
Other values (70) 198
46.7%
Common
ValueCountFrequency (%)
99
35.1%
3 24
 
8.5%
1 23
 
8.2%
( 22
 
7.8%
) 22
 
7.8%
2 17
 
6.0%
0 15
 
5.3%
, 12
 
4.3%
4 10
 
3.5%
6 10
 
3.5%
Other values (7) 28
 
9.9%
Latin
ValueCountFrequency (%)
J 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
59.8%
ASCII 285
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
34.7%
3 24
 
8.4%
1 23
 
8.1%
( 22
 
7.7%
) 22
 
7.7%
2 17
 
6.0%
0 15
 
5.3%
, 12
 
4.2%
4 10
 
3.5%
6 10
 
3.5%
Other values (9) 31
 
10.9%
Hangul
ValueCountFrequency (%)
인 25
 
5.9%
시 23
 
5.4%
미 23
 
5.4%
추 23
 
5.4%
홀 23
 
5.4%
구 22
 
5.2%
역 22
 
5.2%
광 22
 
5.2%
천 22
 
5.2%
동 21
 
5.0%
Other values (70) 198
46.7%

품목(유형)
Text

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T14:00:12.967661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.1818182
Min length2

Characters and Unicode

Total characters136
Distinct characters40
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

Unique8 ?
Unique (%)36.4%

Sample

1st row냉동식품 중 면류
2nd row김치(기타김치)
3rd row기타가공품
4th row빵류
5th row기타가공품
ValueCountFrequency (%)
기타가공품 4
13.3%
중 4
13.3%
빵류 3
10.0%
김치(배추김치 3
10.0%
냉동식품 3
10.0%
면류 2
 
6.7%
김치(기타김치 2
 
6.7%
두부 1
 
3.3%
과자 1
 
3.3%
고춧가루 1
 
3.3%
Other values (6) 6
20.0%
2024-03-18T14:00:13.226841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 10
 
7.4%
김 10
 
7.4%
치 10
 
7.4%
류 8
 
5.9%
8
 
5.9%
기 7
 
5.1%
가 7
 
5.1%
타 7
 
5.1%
공 6
 
4.4%
( 6
 
4.4%
Other values (30) 57
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
85.3%
Space Separator 8
 
5.9%
Open Punctuation 6
 
4.4%
Close Punctuation 6
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 10
 
8.6%
김 10
 
8.6%
치 10
 
8.6%
류 8
 
6.9%
기 7
 
6.0%
가 7
 
6.0%
타 7
 
6.0%
공 6
 
5.2%
식 5
 
4.3%
면 4
 
3.4%
Other values (27) 42
36.2%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
85.3%
Common 20
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 10
 
8.6%
김 10
 
8.6%
치 10
 
8.6%
류 8
 
6.9%
기 7
 
6.0%
가 7
 
6.0%
타 7
 
6.0%
공 6
 
5.2%
식 5
 
4.3%
면 4
 
3.4%
Other values (27) 42
36.2%
Common
ValueCountFrequency (%)
8
40.0%
( 6
30.0%
) 6
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
85.3%
ASCII 20
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 10
 
8.6%
김 10
 
8.6%
치 10
 
8.6%
류 8
 
6.9%
기 7
 
6.0%
가 7
 
6.0%
타 7
 
6.0%
공 6
 
5.2%
식 5
 
4.3%
면 4
 
3.4%
Other values (27) 42
36.2%
ASCII
ValueCountFrequency (%)
8
40.0%
( 6
30.0%
) 6
30.0%

Interactions

2024-03-18T14:00:11.446225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:00:13.312510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소품목(유형)
연번1.0001.0001.0000.000
업체명1.0001.0001.0001.000
주소1.0001.0001.0001.000
품목(유형)0.0001.0001.0001.000

Missing values

2024-03-18T14:00:11.593029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:00:11.708362image/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

연번업체명주소품목(유형)
01월미제면인천광역시 미추홀구 독정이로10(용현동)냉동식품 중 면류
12신현식품인천광역시 미추홀구 석정로150번길 45 (도화동)김치(기타김치)
23케이에이치캠프인천광역시 미추홀구 염전로 330, 301~304호(주안동)기타가공품
34M&F인천광역시 미추홀구 주염로 58, 시범공단로 340호빵류
45농업회사법인 주식회사 청정식품인천광역시 미추홀구 한나루로357번길 116, 3.4층(학익동)기타가공품
56비전엔보호작업장인천광역시 미추홀구 경원대로 714, 3층 (관교동)두부
67마라나타인천광역시 미추홀구 경인로34번길 31(숭의동, 현대탑스빌)과자
78보강식품인천광역시 미추홀구 경인북길 341-2, 1,2층 (주안동)김치(배추김치)
89동산식품인천광역시 미추홀구 매소홀로592번길 9 (문학동)김치(기타김치)
910영창식품인천광역시 미추홀구 미추로 21-1(영창빌딩 2층 숭의동)고춧가루
연번업체명주소품목(유형)
1213(주)이지누들인천광역시 미추홀구 방축로 312, 주안J타워2차지식산업센터820호 820호(주안동)냉동식품 중 면류
1314집반찬연구소인천광역시 미추홀구 방축로206번길 36 (도화동)기타가공품
1415(주)슬로베이크비엔피인천광역시 미추홀구 송림로307번길 34(비젼코베아물류센터 2,3층 도화동)빵류
1516유원식품(주)인천광역시 미추홀구 송림로307번길 55 (도화동)기타가공품
1617(주)아르토스인천광역시 미추홀구 신기길16번길 6-6(101,102호 주안동)빵류
1718주식회사 소디프 비앤에프인천광역시 미추홀구 염전로 336(주안동)즉석조리식품
1819진이에프엔비주식회사인천광역시 미추홀구 염전로201번길 63 (도화동)김치(배추김치)
1920일월식품인천광역시 미추홀구 인주대로11번길 34-34 (숭의동)냉동식품 중 면류(숙면)
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