Overview

Dataset statistics

Number of variables5
Number of observations130
Missing cells55
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory41.0 B

Variable types

Categorical2
Text3

Dataset

Description인천광역시 서구의 집단급식소 식품판매업의 현황(업종명, 업소명, 소재지, 전화번호 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089504&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 55 (42.3%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-18 02:50:35.674667
Analysis finished2024-04-18 02:50:37.148531
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
집단급식소 식품판매업
130 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 130
100.0%

Length

2024-04-18T11:50:37.199517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:50:37.280071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 130
50.0%
식품판매업 130
50.0%

업소명
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T11:50:37.443687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length6.6769231
Min length2

Characters and Unicode

Total characters868
Distinct characters182
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)100.0%

Sample

1st row더푸드
2nd row(주)하나로푸드시스템
3rd row초원푸드
4th row검단농협
5th row(주)혜진수산
ValueCountFrequency (%)
주식회사 8
 
5.6%
농업회사법인 2
 
1.4%
더푸드 1
 
0.7%
하얀푸드 1
 
0.7%
미지향식품 1
 
0.7%
주)다올미트 1
 
0.7%
코리아케어푸드 1
 
0.7%
하임fs 1
 
0.7%
고도푸드 1
 
0.7%
주)거성씨푸드 1
 
0.7%
Other values (126) 126
87.5%
2024-04-18T11:50:37.729309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 62
 
7.1%
푸 58
 
6.7%
주 57
 
6.6%
( 48
 
5.5%
) 48
 
5.5%
에 24
 
2.8%
식 22
 
2.5%
스 22
 
2.5%
사 22
 
2.5%
이 19
 
2.2%
Other values (172) 486
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
84.0%
Open Punctuation 49
 
5.6%
Close Punctuation 49
 
5.6%
Uppercase Letter 25
 
2.9%
Space Separator 14
 
1.6%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 62
 
8.5%
푸 58
 
8.0%
주 57
 
7.8%
에 24
 
3.3%
식 22
 
3.0%
스 22
 
3.0%
사 22
 
3.0%
이 19
 
2.6%
회 19
 
2.6%
인 16
 
2.2%
Other values (154) 408
56.0%
Uppercase Letter
ValueCountFrequency (%)
F 5
20.0%
S 5
20.0%
O 3
12.0%
D 2
 
8.0%
E 2
 
8.0%
Y 2
 
8.0%
C 2
 
8.0%
M 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 48
98.0%
[ 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 48
98.0%
] 1
 
2.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
84.0%
Common 114
 
13.1%
Latin 25
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 62
 
8.5%
푸 58
 
8.0%
주 57
 
7.8%
에 24
 
3.3%
식 22
 
3.0%
스 22
 
3.0%
사 22
 
3.0%
이 19
 
2.6%
회 19
 
2.6%
인 16
 
2.2%
Other values (154) 408
56.0%
Latin
ValueCountFrequency (%)
F 5
20.0%
S 5
20.0%
O 3
12.0%
D 2
 
8.0%
E 2
 
8.0%
Y 2
 
8.0%
C 2
 
8.0%
M 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%
Common
ValueCountFrequency (%)
( 48
42.1%
) 48
42.1%
14
 
12.3%
& 1
 
0.9%
- 1
 
0.9%
] 1
 
0.9%
[ 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
84.0%
ASCII 139
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 62
 
8.5%
푸 58
 
8.0%
주 57
 
7.8%
에 24
 
3.3%
식 22
 
3.0%
스 22
 
3.0%
사 22
 
3.0%
이 19
 
2.6%
회 19
 
2.6%
인 16
 
2.2%
Other values (154) 408
56.0%
ASCII
ValueCountFrequency (%)
( 48
34.5%
) 48
34.5%
14
 
10.1%
F 5
 
3.6%
S 5
 
3.6%
O 3
 
2.2%
D 2
 
1.4%
E 2
 
1.4%
Y 2
 
1.4%
C 2
 
1.4%
Other values (8) 8
 
5.8%

소재지(도로명)
Text

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T11:50:37.970166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length32.815385
Min length9

Characters and Unicode

Total characters4266
Distinct characters153
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

Unique128 ?
Unique (%)98.5%

Sample

1st row인천광역시 서구 장고개로238번길 33-1 (주)미트스튜디오 1층 일부 (가좌동)
2nd row인천광역시 서구 경서로45번길 8-10 (경서동, 744-10)
3rd row인천광역시 서구 승학로 568, 2층 일부호 (검암동)
4th row<REPLACE>
5th row인천광역시 서구 소담2로 36, 1동 1층 (금곡동)
ValueCountFrequency (%)
서구 128
 
15.1%
인천광역시 128
 
15.1%
1층 45
 
5.3%
가좌동 42
 
4.9%
일부호 23
 
2.7%
석남동 15
 
1.8%
원창동 11
 
1.3%
2층 11
 
1.3%
일부 11
 
1.3%
검암동 9
 
1.1%
Other values (243) 427
50.2%
2024-04-18T11:50:38.319824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
720
 
16.9%
1 205
 
4.8%
동 149
 
3.5%
서 143
 
3.4%
) 141
 
3.3%
( 140
 
3.3%
천 134
 
3.1%
, 132
 
3.1%
인 132
 
3.1%
광 130
 
3.0%
Other values (143) 2240
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2324
54.5%
Decimal Number 734
 
17.2%
Space Separator 720
 
16.9%
Close Punctuation 141
 
3.3%
Open Punctuation 140
 
3.3%
Other Punctuation 132
 
3.1%
Dash Punctuation 46
 
1.1%
Uppercase Letter 24
 
0.6%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 149
 
6.4%
서 143
 
6.2%
천 134
 
5.8%
인 132
 
5.7%
광 130
 
5.6%
로 128
 
5.5%
구 128
 
5.5%
역 128
 
5.5%
시 128
 
5.5%
층 95
 
4.1%
Other values (116) 1029
44.3%
Decimal Number
ValueCountFrequency (%)
1 205
27.9%
2 109
14.9%
3 81
 
11.0%
0 74
 
10.1%
4 52
 
7.1%
6 48
 
6.5%
7 47
 
6.4%
8 44
 
6.0%
5 37
 
5.0%
9 37
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
25.0%
E 4
16.7%
C 3
12.5%
G 2
 
8.3%
J 2
 
8.3%
R 2
 
8.3%
P 2
 
8.3%
L 2
 
8.3%
B 1
 
4.2%
Math Symbol
ValueCountFrequency (%)
< 2
40.0%
> 2
40.0%
~ 1
20.0%
Space Separator
ValueCountFrequency (%)
720
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2324
54.5%
Common 1918
45.0%
Latin 24
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 149
 
6.4%
서 143
 
6.2%
천 134
 
5.8%
인 132
 
5.7%
광 130
 
5.6%
로 128
 
5.5%
구 128
 
5.5%
역 128
 
5.5%
시 128
 
5.5%
층 95
 
4.1%
Other values (116) 1029
44.3%
Common
ValueCountFrequency (%)
720
37.5%
1 205
 
10.7%
) 141
 
7.4%
( 140
 
7.3%
, 132
 
6.9%
2 109
 
5.7%
3 81
 
4.2%
0 74
 
3.9%
4 52
 
2.7%
6 48
 
2.5%
Other values (8) 216
 
11.3%
Latin
ValueCountFrequency (%)
A 6
25.0%
E 4
16.7%
C 3
12.5%
G 2
 
8.3%
J 2
 
8.3%
R 2
 
8.3%
P 2
 
8.3%
L 2
 
8.3%
B 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2324
54.5%
ASCII 1942
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
720
37.1%
1 205
 
10.6%
) 141
 
7.3%
( 140
 
7.2%
, 132
 
6.8%
2 109
 
5.6%
3 81
 
4.2%
0 74
 
3.8%
4 52
 
2.7%
6 48
 
2.5%
Other values (17) 240
 
12.4%
Hangul
ValueCountFrequency (%)
동 149
 
6.4%
서 143
 
6.2%
천 134
 
5.8%
인 132
 
5.7%
광 130
 
5.6%
로 128
 
5.5%
구 128
 
5.5%
역 128
 
5.5%
시 128
 
5.5%
층 95
 
4.1%
Other values (116) 1029
44.3%

전화번호
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing55
Missing (%)42.3%
Memory size1.1 KiB
2024-04-18T11:50:38.545343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04
Min length10

Characters and Unicode

Total characters903
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

Unique75 ?
Unique (%)100.0%

Sample

1st row032-584-7979
2nd row032-424-0251
3rd row032-564-6351
4th row032-565-5176
5th row032-556-3456
ValueCountFrequency (%)
070-4060-3371 1
 
1.3%
031-767-8214 1
 
1.3%
031-575-6829 1
 
1.3%
032-563-8892 1
 
1.3%
032-277-5140 1
 
1.3%
032-572-8882 1
 
1.3%
032-657-8948 1
 
1.3%
032-564-3483 1
 
1.3%
032-577-0850 1
 
1.3%
032-233-6740 1
 
1.3%
Other values (65) 65
86.7%
2024-04-18T11:50:38.871951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 150
16.6%
0 118
13.1%
2 115
12.7%
3 113
12.5%
5 82
9.1%
7 74
8.2%
6 63
7.0%
8 56
 
6.2%
4 50
 
5.5%
1 49
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 753
83.4%
Dash Punctuation 150
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 118
15.7%
2 115
15.3%
3 113
15.0%
5 82
10.9%
7 74
9.8%
6 63
8.4%
8 56
7.4%
4 50
6.6%
1 49
6.5%
9 33
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 150
16.6%
0 118
13.1%
2 115
12.7%
3 113
12.5%
5 82
9.1%
7 74
8.2%
6 63
7.0%
8 56
 
6.2%
4 50
 
5.5%
1 49
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 150
16.6%
0 118
13.1%
2 115
12.7%
3 113
12.5%
5 82
9.1%
7 74
8.2%
6 63
7.0%
8 56
 
6.2%
4 50
 
5.5%
1 49
 
5.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-10-26
130 

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 (%)
2023-10-26 130
100.0%

Length

2024-04-18T11:50:38.999025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:50:39.075378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-26 130
100.0%

Missing values

2024-04-18T11:50:37.114408image/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
0집단급식소 식품판매업더푸드인천광역시 서구 장고개로238번길 33-1 (주)미트스튜디오 1층 일부 (가좌동)032-584-79792023-10-26
1집단급식소 식품판매업(주)하나로푸드시스템인천광역시 서구 경서로45번길 8-10 (경서동, 744-10)032-424-02512023-10-26
2집단급식소 식품판매업초원푸드인천광역시 서구 승학로 568, 2층 일부호 (검암동)032-564-63512023-10-26
3집단급식소 식품판매업검단농협<REPLACE>032-565-51762023-10-26
4집단급식소 식품판매업(주)혜진수산인천광역시 서구 소담2로 36, 1동 1층 (금곡동)032-556-34562023-10-26
5집단급식소 식품판매업푸른유통<REPLACE><NA>2023-10-26
6집단급식소 식품판매업다온푸드인천광역시 서구 도요지로227번길 4-13 (검암동)032-565-75862023-10-26
7집단급식소 식품판매업(주)우일푸드인천광역시 서구 장고개로238번길 33 (가좌동)032-438-80772023-10-26
8집단급식소 식품판매업(주)에스알씨인천광역시 서구 원적로7번길 40 (가좌동)032-575-14512023-10-26
9집단급식소 식품판매업도담푸드인천광역시 서구 신석로77번길 27, 1층 일부호 (석남동)032-566-48102023-10-26
업종명업소명소재지(도로명)전화번호데이터기준일자
120집단급식소 식품판매업(주)드림식자재인천광역시 서구 완정로10번길 7 (마전동)032-5664-8482023-10-26
121집단급식소 식품판매업수미트인천광역시 서구 보석로18번길 11, 1층 (청라동)032-7722-9812023-10-26
122집단급식소 식품판매업(주)태민수산인천광역시 서구 봉수대로 295-2 (석남동)<NA>2023-10-26
123집단급식소 식품판매업(주)라인스토리인천광역시 서구 염곡로 472, 대건프라자 804호 일부호 (가정동)<NA>2023-10-26
124집단급식소 식품판매업덕운축산인천광역시 서구 염곡로 140, 103호 (가좌동)<NA>2023-10-26
125집단급식소 식품판매업다인인천광역시 서구 가정로57번길 9, 1동 2층 일부호 (가좌동)<NA>2023-10-26
126집단급식소 식품판매업(주)아이오쓰리인천광역시 서구 백범로 611, 810호 (가좌동)<NA>2023-10-26
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