Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells13
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description인천광역시 서구의 식품첨가물제조업의 현황(업종명, 업소명, 소재지, 전화번호 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089490&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 13 (40.6%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:52:17.022457
Analysis finished2024-03-18 02:52:17.443664
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-18T11:52:17.493485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-18T11:52:17.587036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
식품첨가물제조업
32 

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 32
100.0%

Length

2024-03-18T11:52:17.691914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:52:17.786467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 32
100.0%

업소명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-18T11:52:17.931191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length7.1875
Min length2

Characters and Unicode

Total characters230
Distinct characters89
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서원
2nd row(주)바이텍코리아
3rd row주식회사 태광
4th row(주)다온벤카코리아
5th row(주)에스넷
ValueCountFrequency (%)
주식회사 6
 
15.8%
서원 1
 
2.6%
주)디앤푸드 1
 
2.6%
서연크린테크 1
 
2.6%
만세테크 1
 
2.6%
티앤피코리아 1
 
2.6%
창신산케미 1
 
2.6%
주)화미 1
 
2.6%
주)미트뱅크 1
 
2.6%
주)사조대림 1
 
2.6%
Other values (23) 23
60.5%
2024-03-18T11:52:18.379142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 23
 
10.0%
( 16
 
7.0%
) 16
 
7.0%
사 11
 
4.8%
회 8
 
3.5%
식 7
 
3.0%
6
 
2.6%
에 6
 
2.6%
스 5
 
2.2%
이 5
 
2.2%
Other values (79) 127
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
83.5%
Open Punctuation 16
 
7.0%
Close Punctuation 16
 
7.0%
Space Separator 6
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
12.0%
사 11
 
5.7%
회 8
 
4.2%
식 7
 
3.6%
에 6
 
3.1%
스 5
 
2.6%
이 5
 
2.6%
리 5
 
2.6%
크 4
 
2.1%
아 4
 
2.1%
Other values (76) 114
59.4%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
83.5%
Common 38
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
12.0%
사 11
 
5.7%
회 8
 
4.2%
식 7
 
3.6%
에 6
 
3.1%
스 5
 
2.6%
이 5
 
2.6%
리 5
 
2.6%
크 4
 
2.1%
아 4
 
2.1%
Other values (76) 114
59.4%
Common
ValueCountFrequency (%)
( 16
42.1%
) 16
42.1%
6
 
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
83.5%
ASCII 38
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 23
 
12.0%
사 11
 
5.7%
회 8
 
4.2%
식 7
 
3.6%
에 6
 
3.1%
스 5
 
2.6%
이 5
 
2.6%
리 5
 
2.6%
크 4
 
2.1%
아 4
 
2.1%
Other values (76) 114
59.4%
ASCII
ValueCountFrequency (%)
( 16
42.1%
) 16
42.1%
6
 
15.8%

소재지(도로명)
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-18T11:52:18.596944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length35
Mean length26.46875
Min length15

Characters and Unicode

Total characters847
Distinct characters92
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

Unique27 ?
Unique (%)84.4%

Sample

1st row인천광역시 서구 중봉대로 160 (가좌동,A동 1층)
2nd row인천광역시 서구 보듬로 158, 블루텍 공존동 443호 (오류동)
3rd row인천광역시 서구 가석로 30, 광양프런티어밸리3차 819호 (가좌동)
4th row인천광역시 서구 백범로810번길 26-13, 2층 일부호 (가좌동)
5th row인천광역시 서구 신동안길 6-21, 1동 1층 (금곡동)
ValueCountFrequency (%)
인천광역시 32
17.7%
서구 32
17.7%
가좌동 9
 
5.0%
보듬로 6
 
3.3%
158 6
 
3.3%
오류동 5
 
2.8%
블루텍 4
 
2.2%
백범로 4
 
2.2%
공존동 3
 
1.7%
681 3
 
1.7%
Other values (68) 77
42.5%
2024-03-18T11:52:18.950156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
17.6%
1 37
 
4.4%
광 33
 
3.9%
인 32
 
3.8%
역 32
 
3.8%
시 32
 
3.8%
서 32
 
3.8%
구 32
 
3.8%
천 32
 
3.8%
로 31
 
3.7%
Other values (82) 405
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
56.7%
Decimal Number 150
 
17.7%
Space Separator 149
 
17.6%
Close Punctuation 19
 
2.2%
Open Punctuation 19
 
2.2%
Other Punctuation 18
 
2.1%
Dash Punctuation 6
 
0.7%
Uppercase Letter 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 33
 
6.9%
인 32
 
6.7%
역 32
 
6.7%
시 32
 
6.7%
서 32
 
6.7%
구 32
 
6.7%
천 32
 
6.7%
로 31
 
6.5%
동 30
 
6.2%
가 14
 
2.9%
Other values (64) 180
37.5%
Decimal Number
ValueCountFrequency (%)
1 37
24.7%
2 27
18.0%
8 15
10.0%
5 13
 
8.7%
6 12
 
8.0%
4 12
 
8.0%
0 12
 
8.0%
3 12
 
8.0%
9 6
 
4.0%
7 4
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
C 2
33.3%
B 2
33.3%
Space Separator
ValueCountFrequency (%)
149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
56.7%
Common 361
42.6%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 33
 
6.9%
인 32
 
6.7%
역 32
 
6.7%
시 32
 
6.7%
서 32
 
6.7%
구 32
 
6.7%
천 32
 
6.7%
로 31
 
6.5%
동 30
 
6.2%
가 14
 
2.9%
Other values (64) 180
37.5%
Common
ValueCountFrequency (%)
149
41.3%
1 37
 
10.2%
2 27
 
7.5%
) 19
 
5.3%
( 19
 
5.3%
, 18
 
5.0%
8 15
 
4.2%
5 13
 
3.6%
6 12
 
3.3%
4 12
 
3.3%
Other values (5) 40
 
11.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
C 2
33.3%
B 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
56.7%
ASCII 367
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
40.6%
1 37
 
10.1%
2 27
 
7.4%
) 19
 
5.2%
( 19
 
5.2%
, 18
 
4.9%
8 15
 
4.1%
5 13
 
3.5%
6 12
 
3.3%
4 12
 
3.3%
Other values (8) 46
 
12.5%
Hangul
ValueCountFrequency (%)
광 33
 
6.9%
인 32
 
6.7%
역 32
 
6.7%
시 32
 
6.7%
서 32
 
6.7%
구 32
 
6.7%
천 32
 
6.7%
로 31
 
6.5%
동 30
 
6.2%
가 14
 
2.9%
Other values (64) 180
37.5%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Memory size388.0 B
2024-03-18T11:52:19.125709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.157895
Min length12

Characters and Unicode

Total characters231
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

Unique19 ?
Unique (%)100.0%

Sample

1st row031-985-0158
2nd row032-570-8222
3rd row032-578-2175
4th row032-584-3051
5th row032-265-1414
ValueCountFrequency (%)
031-985-0158 1
 
5.3%
032-431-2248 1
 
5.3%
070-7707-0419 1
 
5.3%
070-4140-0010 1
 
5.3%
032-583-1116 1
 
5.3%
032-570-0374 1
 
5.3%
032-568-9996 1
 
5.3%
032-561-5209 1
 
5.3%
032-550-2700 1
 
5.3%
032-220-6462 1
 
5.3%
Other values (9) 9
47.4%
2024-03-18T11:52:19.415460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
18.2%
- 38
16.5%
2 31
13.4%
3 24
10.4%
5 19
8.2%
1 17
7.4%
4 15
 
6.5%
7 14
 
6.1%
8 12
 
5.2%
6 11
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
83.5%
Dash Punctuation 38
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
21.8%
2 31
16.1%
3 24
12.4%
5 19
9.8%
1 17
8.8%
4 15
 
7.8%
7 14
 
7.3%
8 12
 
6.2%
6 11
 
5.7%
9 8
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
18.2%
- 38
16.5%
2 31
13.4%
3 24
10.4%
5 19
8.2%
1 17
7.4%
4 15
 
6.5%
7 14
 
6.1%
8 12
 
5.2%
6 11
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
18.2%
- 38
16.5%
2 31
13.4%
3 24
10.4%
5 19
8.2%
1 17
7.4%
4 15
 
6.5%
7 14
 
6.1%
8 12
 
5.2%
6 11
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-09-06
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-06
2nd row2022-09-06
3rd row2022-09-06
4th row2022-09-06
5th row2022-09-06

Common Values

ValueCountFrequency (%)
2022-09-06 32
100.0%

Length

2024-03-18T11:52:19.528786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:52:19.608412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 32
100.0%

Interactions

2024-03-18T11:52:17.196144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:52:19.656671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)전화번호
연번1.0001.0000.8941.000
업소명1.0001.0001.0001.000
소재지(도로명)0.8941.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-03-18T11:52:17.298254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:52:17.409855image/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

연번업종명업소명소재지(도로명)전화번호데이터기준일자
01식품첨가물제조업서원인천광역시 서구 중봉대로 160 (가좌동,A동 1층)<NA>2022-09-06
12식품첨가물제조업(주)바이텍코리아인천광역시 서구 보듬로 158, 블루텍 공존동 443호 (오류동)<NA>2022-09-06
23식품첨가물제조업주식회사 태광인천광역시 서구 가석로 30, 광양프런티어밸리3차 819호 (가좌동)<NA>2022-09-06
34식품첨가물제조업(주)다온벤카코리아인천광역시 서구 백범로810번길 26-13, 2층 일부호 (가좌동)<NA>2022-09-06
45식품첨가물제조업(주)에스넷인천광역시 서구 신동안길 6-21, 1동 1층 (금곡동)<NA>2022-09-06
56식품첨가물제조업열우물 주식회사인천광역시 서구 대곡로89번길 14<NA>2022-09-06
67식품첨가물제조업제일건강인천광역시 서구 가석로 30<NA>2022-09-06
78식품첨가물제조업주식회사 와이에스푸드인천광역시 서구 백범로 681<NA>2022-09-06
89식품첨가물제조업(주)대광에이치엠인천광역시 서구 새오개로16번길 2<NA>2022-09-06
910식품첨가물제조업주식회사 디오인천광역시 서구 백범로 681<NA>2022-09-06
연번업종명업소명소재지(도로명)전화번호데이터기준일자
2223식품첨가물제조업(주)화미인천광역시 서구 열우물로 221, 1층일부3층일부 B동 (가좌동)032-550-27002022-09-06
2324식품첨가물제조업(주)미트뱅크인천광역시 서구 보듬로 158, 블루텍 공존240호 (오류동)032-561-52092022-09-06
2425식품첨가물제조업(주)디앤푸드인천광역시 서구 검단로93번길 23, A동2층일부, B동1층일부 (오류동)032-568-99962022-09-06
2526식품첨가물제조업(주)사조대림인천광역시 서구 봉수대로 126 (가좌동)032-570-03742022-09-06
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