Overview

Dataset statistics

Number of variables5
Number of observations578
Missing cells294
Missing cells (%)10.2%
Duplicate rows2
Duplicate rows (%)0.3%
Total size in memory22.7 KiB
Average record size in memory40.2 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description인천광역시 중구 식품위생업소에 대한 정보입니다.파일명 인천광역시 중구 식품위생업소 현황내용 업종명, 업소명, 소재지, 소재지전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3045377&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 2 (0.3%) duplicate rowsDuplicates
소재지전화 has 294 (50.9%) missing valuesMissing

Reproduction

Analysis started2024-01-28 07:53:05.304795
Analysis finished2024-01-28 07:53:05.806018
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
즉석판매제조가공업
335 
식품자동판매기영업
200 
집단급식소 식품판매업
 
31
식품운반업
 
10
식용얼음판매업
 
2

Length

Max length11
Median length9
Mean length9.0311419
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 335
58.0%
식품자동판매기영업 200
34.6%
집단급식소 식품판매업 31
 
5.4%
식품운반업 10
 
1.7%
식용얼음판매업 2
 
0.3%

Length

2024-01-28T16:53:05.868875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:53:05.956228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 335
55.0%
식품자동판매기영업 200
32.8%
집단급식소 31
 
5.1%
식품판매업 31
 
5.1%
식품운반업 10
 
1.6%
식용얼음판매업 2
 
0.3%

업소명
Text

Distinct566
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-01-28T16:53:06.138329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.6920415
Min length1

Characters and Unicode

Total characters4446
Distinct characters499
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)96.7%

Sample

1st row성광제분소
2nd row대영기름집
3rd row강화제분소
4th row광신제면
5th row연안기름집
ValueCountFrequency (%)
지에스25 17
 
2.1%
gs25 14
 
1.7%
이마트24 13
 
1.6%
주식회사 13
 
1.6%
씨유 10
 
1.2%
세븐일레븐 8
 
1.0%
태일캐터링 7
 
0.9%
영종하늘도시점 7
 
0.9%
나우커피 6
 
0.7%
무인카페 4
 
0.5%
Other values (671) 702
87.6%
2024-01-28T16:53:06.476679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
5.0%
점 147
 
3.3%
이 79
 
1.8%
스 79
 
1.8%
2 73
 
1.6%
( 73
 
1.6%
) 72
 
1.6%
인 69
 
1.6%
영 68
 
1.5%
주 60
 
1.3%
Other values (489) 3503
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3660
82.3%
Space Separator 223
 
5.0%
Decimal Number 160
 
3.6%
Uppercase Letter 124
 
2.8%
Lowercase Letter 120
 
2.7%
Open Punctuation 74
 
1.7%
Close Punctuation 73
 
1.6%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 147
 
4.0%
이 79
 
2.2%
스 79
 
2.2%
인 69
 
1.9%
영 68
 
1.9%
주 60
 
1.6%
회 58
 
1.6%
종 57
 
1.6%
천 47
 
1.3%
상 46
 
1.3%
Other values (428) 2950
80.6%
Lowercase Letter
ValueCountFrequency (%)
e 18
15.0%
o 14
11.7%
a 13
10.8%
r 8
 
6.7%
i 8
 
6.7%
n 7
 
5.8%
k 6
 
5.0%
s 6
 
5.0%
c 6
 
5.0%
p 6
 
5.0%
Other values (12) 28
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 23
18.5%
G 20
16.1%
C 17
13.7%
U 14
11.3%
O 8
 
6.5%
A 5
 
4.0%
K 5
 
4.0%
M 4
 
3.2%
P 4
 
3.2%
I 3
 
2.4%
Other values (10) 21
16.9%
Decimal Number
ValueCountFrequency (%)
2 73
45.6%
5 41
25.6%
4 24
 
15.0%
1 9
 
5.6%
0 4
 
2.5%
7 3
 
1.9%
6 2
 
1.2%
3 2
 
1.2%
9 1
 
0.6%
8 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 5
50.0%
. 3
30.0%
& 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 73
98.6%
[ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 72
98.6%
] 1
 
1.4%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3659
82.3%
Common 542
 
12.2%
Latin 244
 
5.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 147
 
4.0%
이 79
 
2.2%
스 79
 
2.2%
인 69
 
1.9%
영 68
 
1.9%
주 60
 
1.6%
회 58
 
1.6%
종 57
 
1.6%
천 47
 
1.3%
상 46
 
1.3%
Other values (427) 2949
80.6%
Latin
ValueCountFrequency (%)
S 23
 
9.4%
G 20
 
8.2%
e 18
 
7.4%
C 17
 
7.0%
U 14
 
5.7%
o 14
 
5.7%
a 13
 
5.3%
O 8
 
3.3%
r 8
 
3.3%
i 8
 
3.3%
Other values (32) 101
41.4%
Common
ValueCountFrequency (%)
223
41.1%
2 73
 
13.5%
( 73
 
13.5%
) 72
 
13.3%
5 41
 
7.6%
4 24
 
4.4%
1 9
 
1.7%
, 5
 
0.9%
0 4
 
0.7%
. 3
 
0.6%
Other values (9) 15
 
2.8%
Han
ValueCountFrequency (%)
緣 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3659
82.3%
ASCII 786
 
17.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
28.4%
2 73
 
9.3%
( 73
 
9.3%
) 72
 
9.2%
5 41
 
5.2%
4 24
 
3.1%
S 23
 
2.9%
G 20
 
2.5%
e 18
 
2.3%
C 17
 
2.2%
Other values (51) 202
25.7%
Hangul
ValueCountFrequency (%)
점 147
 
4.0%
이 79
 
2.2%
스 79
 
2.2%
인 69
 
1.9%
영 68
 
1.9%
주 60
 
1.6%
회 58
 
1.6%
종 57
 
1.6%
천 47
 
1.3%
상 46
 
1.3%
Other values (427) 2949
80.6%
CJK
ValueCountFrequency (%)
緣 1
100.0%

소재지(도로명)
Text

Distinct556
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-01-28T16:53:06.710269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length35.043253
Min length15

Characters and Unicode

Total characters20255
Distinct characters307
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique540 ?
Unique (%)93.4%

Sample

1st row인천광역시 중구 우현로49번길 11-6 (신포동)
2nd row인천광역시 중구 서해대로424번길 19 (신흥동3가)
3rd row인천광역시 중구 도원로 23-18 (선화동)
4th row인천광역시 중구 참외전로158번길 5 (경동, 지하1층)
5th row인천광역시 중구 연안부두로 24-1 (항동7가)
ValueCountFrequency (%)
인천광역시 578
 
14.5%
중구 578
 
14.5%
1층 319
 
8.0%
항동7가 118
 
3.0%
운서동 101
 
2.5%
중산동 96
 
2.4%
일부 91
 
2.3%
연안부두로33번길 48
 
1.2%
37 39
 
1.0%
2층 39
 
1.0%
Other values (801) 1968
49.5%
2024-01-28T16:53:07.083577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3433
 
16.9%
1 1046
 
5.2%
중 732
 
3.6%
인 657
 
3.2%
시 656
 
3.2%
동 645
 
3.2%
천 627
 
3.1%
광 588
 
2.9%
역 585
 
2.9%
구 583
 
2.9%
Other values (297) 10703
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11389
56.2%
Decimal Number 3546
 
17.5%
Space Separator 3433
 
16.9%
Other Punctuation 579
 
2.9%
Open Punctuation 568
 
2.8%
Close Punctuation 568
 
2.8%
Dash Punctuation 135
 
0.7%
Uppercase Letter 32
 
0.2%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 732
 
6.4%
인 657
 
5.8%
시 656
 
5.8%
동 645
 
5.7%
천 627
 
5.5%
광 588
 
5.2%
역 585
 
5.1%
구 583
 
5.1%
로 562
 
4.9%
층 403
 
3.5%
Other values (269) 5351
47.0%
Decimal Number
ValueCountFrequency (%)
1 1046
29.5%
2 450
12.7%
3 449
12.7%
7 321
 
9.1%
4 292
 
8.2%
0 265
 
7.5%
5 212
 
6.0%
6 208
 
5.9%
9 172
 
4.9%
8 131
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 13
40.6%
A 4
 
12.5%
C 3
 
9.4%
G 2
 
6.2%
U 2
 
6.2%
I 2
 
6.2%
S 2
 
6.2%
M 2
 
6.2%
K 1
 
3.1%
J 1
 
3.1%
Space Separator
ValueCountFrequency (%)
3433
100.0%
Other Punctuation
ValueCountFrequency (%)
, 579
100.0%
Open Punctuation
ValueCountFrequency (%)
( 568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 568
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11389
56.2%
Common 8832
43.6%
Latin 34
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 732
 
6.4%
인 657
 
5.8%
시 656
 
5.8%
동 645
 
5.7%
천 627
 
5.5%
광 588
 
5.2%
역 585
 
5.1%
구 583
 
5.1%
로 562
 
4.9%
층 403
 
3.5%
Other values (269) 5351
47.0%
Common
ValueCountFrequency (%)
3433
38.9%
1 1046
 
11.8%
, 579
 
6.6%
( 568
 
6.4%
) 568
 
6.4%
2 450
 
5.1%
3 449
 
5.1%
7 321
 
3.6%
4 292
 
3.3%
0 265
 
3.0%
Other values (6) 861
 
9.7%
Latin
ValueCountFrequency (%)
B 13
38.2%
A 4
 
11.8%
C 3
 
8.8%
G 2
 
5.9%
U 2
 
5.9%
I 2
 
5.9%
S 2
 
5.9%
M 2
 
5.9%
K 1
 
2.9%
J 1
 
2.9%
Other values (2) 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11389
56.2%
ASCII 8865
43.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3433
38.7%
1 1046
 
11.8%
, 579
 
6.5%
( 568
 
6.4%
) 568
 
6.4%
2 450
 
5.1%
3 449
 
5.1%
7 321
 
3.6%
4 292
 
3.3%
0 265
 
3.0%
Other values (17) 894
 
10.1%
Hangul
ValueCountFrequency (%)
중 732
 
6.4%
인 657
 
5.8%
시 656
 
5.8%
동 645
 
5.7%
천 627
 
5.5%
광 588
 
5.2%
역 585
 
5.1%
구 583
 
5.1%
로 562
 
4.9%
층 403
 
3.5%
Other values (269) 5351
47.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지전화
Text

MISSING 

Distinct270
Distinct (%)95.1%
Missing294
Missing (%)50.9%
Memory size4.6 KiB
2024-01-28T16:53:07.362471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.975352
Min length13

Characters and Unicode

Total characters3969
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)91.2%

Sample

1st row 032- 772-5093
2nd row 032- 882-2695
3rd row 032- 884-3769
4th row 032- 773-2212
5th row 032- 883-5481
ValueCountFrequency (%)
032 249
34.7%
752 20
 
2.8%
751 13
 
1.8%
883 11
 
1.5%
070 11
 
1.5%
746 8
 
1.1%
772 7
 
1.0%
882 7
 
1.0%
02 6
 
0.8%
885 6
 
0.8%
Other values (314) 380
52.9%
2024-01-28T16:53:07.755614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 568
14.3%
543
13.7%
0 466
11.7%
2 466
11.7%
3 435
11.0%
8 328
8.3%
7 323
8.1%
1 193
 
4.9%
4 188
 
4.7%
5 179
 
4.5%
Other values (2) 280
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2858
72.0%
Dash Punctuation 568
 
14.3%
Space Separator 543
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 466
16.3%
2 466
16.3%
3 435
15.2%
8 328
11.5%
7 323
11.3%
1 193
6.8%
4 188
6.6%
5 179
 
6.3%
6 165
 
5.8%
9 115
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 568
100.0%
Space Separator
ValueCountFrequency (%)
543
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3969
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 568
14.3%
543
13.7%
0 466
11.7%
2 466
11.7%
3 435
11.0%
8 328
8.3%
7 323
8.1%
1 193
 
4.9%
4 188
 
4.7%
5 179
 
4.5%
Other values (2) 280
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 568
14.3%
543
13.7%
0 466
11.7%
2 466
11.7%
3 435
11.0%
8 328
8.3%
7 323
8.1%
1 193
 
4.9%
4 188
 
4.7%
5 179
 
4.5%
Other values (2) 280
7.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2024-01-28T16:53:07.857773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:53:07.944495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-28T16:53:05.681859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:53:05.771162image/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)소재지전화데이터기준일자
0즉석판매제조가공업성광제분소인천광역시 중구 우현로49번길 11-6 (신포동)032- 772-50932023-06-19
1즉석판매제조가공업대영기름집인천광역시 중구 서해대로424번길 19 (신흥동3가)032- 882-26952023-06-19
2즉석판매제조가공업강화제분소인천광역시 중구 도원로 23-18 (선화동)032- 884-37692023-06-19
3즉석판매제조가공업광신제면인천광역시 중구 참외전로158번길 5 (경동, 지하1층)032- 773-22122023-06-19
4즉석판매제조가공업연안기름집인천광역시 중구 연안부두로 24-1 (항동7가)032- 883-54812023-06-19
5즉석판매제조가공업금화상회인천광역시 중구 신포동 5032- 773-60172023-06-19
6즉석판매제조가공업수인기름집인천광역시 중구 서해대로 422 (신흥동3가)032- 883-35522023-06-19
7즉석판매제조가공업해안방아간인천광역시 중구 신포로15번길 63-1 (해안동2가)032- 762-23612023-06-19
8즉석판매제조가공업대성기름집인천광역시 중구 서해대로 448 (신흥동3가)032- 884-68882023-06-19
9즉석판매제조가공업전동떡집인천광역시 중구 전동 18032- 772-25532023-06-19
업종명업소명소재지(도로명)소재지전화데이터기준일자
568집단급식소 식품판매업우주푸드인천광역시 중구 연안부두로107번길 34, 2동 2층 1호 (항동7가)<NA>2023-06-19
569집단급식소 식품판매업지성유통인천광역시 중구 연안부두로107번길 34, 2동 2층 6호 (항동7가)<NA>2023-06-19
570집단급식소 식품판매업우보유통인천광역시 중구 연안부두로107번길 34, 2동 2층 2호 (항동7가)032 -891 -56112023-06-19
571집단급식소 식품판매업주식회사 명진에프엔비인천광역시 중구 연안부두로107번길 34, 2동 1층 (항동7가)<NA>2023-06-19
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573집단급식소 식품판매업주식회사 은해랑인천광역시 중구 연안부두로 93, 4~5(일부)층 (항동7가)<NA>2023-06-19
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575집단급식소 식품판매업주식회사 에프엠푸드인천광역시 중구 연안부두로107번길 20-6, 1층 일부 (항동7가)032 -889 -44312023-06-19
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