Overview

Dataset statistics

Number of variables5
Number of observations213
Missing cells12
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory40.6 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description인천광역시 중구 집단급식소에 대한 정보입니다.파일명 인천광역시 중구 집단급식소 현황내용 업소명, 업소전화번호, 급식소종류 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15066586&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 12 (5.6%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:19:21.875235
Analysis finished2024-01-28 10:19:22.303524
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-28T19:19:22.440060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length9.6713615
Min length4

Characters and Unicode

Total characters2060
Distinct characters298
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)100.0%

Sample

1st row인천해사고등학교
2nd row대한사료(주)인천공장
3rd row인천기독병원
4th row동화기업(주)
5th row대한싸이로(주)
ValueCountFrequency (%)
식당 17
 
5.6%
구내식당 10
 
3.3%
주식회사 8
 
2.6%
어린이집 7
 
2.3%
서편 4
 
1.3%
동편 4
 
1.3%
as 4
 
1.3%
t1 4
 
1.3%
ls 3
 
1.0%
t2 3
 
1.0%
Other values (235) 239
78.9%
2024-01-28T19:19:22.758147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
4.4%
인 83
 
4.0%
천 71
 
3.4%
이 67
 
3.3%
주 51
 
2.5%
( 48
 
2.3%
) 48
 
2.3%
교 43
 
2.1%
식 41
 
2.0%
집 41
 
2.0%
Other values (288) 1477
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1756
85.2%
Space Separator 90
 
4.4%
Uppercase Letter 79
 
3.8%
Open Punctuation 48
 
2.3%
Close Punctuation 48
 
2.3%
Decimal Number 20
 
1.0%
Lowercase Letter 15
 
0.7%
Other Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 83
 
4.7%
천 71
 
4.0%
이 67
 
3.8%
주 51
 
2.9%
교 43
 
2.4%
식 41
 
2.3%
집 41
 
2.3%
린 40
 
2.3%
어 40
 
2.3%
학 40
 
2.3%
Other values (250) 1239
70.6%
Uppercase Letter
ValueCountFrequency (%)
S 16
20.3%
A 11
13.9%
T 9
11.4%
C 8
10.1%
K 6
 
7.6%
L 5
 
6.3%
G 4
 
5.1%
E 4
 
5.1%
R 3
 
3.8%
M 2
 
2.5%
Other values (8) 11
13.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
n 2
13.3%
i 2
13.3%
t 2
13.3%
r 2
13.3%
u 1
 
6.7%
y 1
 
6.7%
a 1
 
6.7%
p 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 10
50.0%
1 8
40.0%
5 1
 
5.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
· 1
33.3%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1756
85.2%
Common 210
 
10.2%
Latin 94
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 83
 
4.7%
천 71
 
4.0%
이 67
 
3.8%
주 51
 
2.9%
교 43
 
2.4%
식 41
 
2.3%
집 41
 
2.3%
린 40
 
2.3%
어 40
 
2.3%
학 40
 
2.3%
Other values (250) 1239
70.6%
Latin
ValueCountFrequency (%)
S 16
17.0%
A 11
11.7%
T 9
 
9.6%
C 8
 
8.5%
K 6
 
6.4%
L 5
 
5.3%
G 4
 
4.3%
E 4
 
4.3%
R 3
 
3.2%
o 3
 
3.2%
Other values (17) 25
26.6%
Common
ValueCountFrequency (%)
90
42.9%
( 48
22.9%
) 48
22.9%
2 10
 
4.8%
1 8
 
3.8%
- 1
 
0.5%
5 1
 
0.5%
7 1
 
0.5%
. 1
 
0.5%
· 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1756
85.2%
ASCII 303
 
14.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
29.7%
( 48
15.8%
) 48
15.8%
S 16
 
5.3%
A 11
 
3.6%
2 10
 
3.3%
T 9
 
3.0%
1 8
 
2.6%
C 8
 
2.6%
K 6
 
2.0%
Other values (27) 49
16.2%
Hangul
ValueCountFrequency (%)
인 83
 
4.7%
천 71
 
4.0%
이 67
 
3.8%
주 51
 
2.9%
교 43
 
2.4%
식 41
 
2.3%
집 41
 
2.3%
린 40
 
2.3%
어 40
 
2.3%
학 40
 
2.3%
Other values (250) 1239
70.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(지번)
Text

Distinct206
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-28T19:19:22.947889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length26.403756
Min length14

Characters and Unicode

Total characters5624
Distinct characters252
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

Unique199 ?
Unique (%)93.4%

Sample

1st row인천광역시 중구 북성동1가 102-3
2nd row인천광역시 중구 북성동1가 3-14
3rd row인천광역시 중구 율목동 237
4th row인천광역시 중구 북성동1가 6-85
5th row인천광역시 중구 북성동1가 3
ValueCountFrequency (%)
인천광역시 213
18.9%
중구 213
18.9%
운서동 73
 
6.5%
1층 38
 
3.4%
항동7가 23
 
2.0%
중산동 23
 
2.0%
신흥동3가 22
 
2.0%
운남동 14
 
1.2%
지하1층 11
 
1.0%
2층 10
 
0.9%
Other values (379) 486
43.2%
2024-01-28T19:19:23.291621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1126
20.0%
동 255
 
4.5%
1 249
 
4.4%
인 248
 
4.4%
중 246
 
4.4%
천 244
 
4.3%
시 227
 
4.0%
구 216
 
3.8%
역 215
 
3.8%
광 213
 
3.8%
Other values (242) 2385
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3192
56.8%
Space Separator 1126
 
20.0%
Decimal Number 1053
 
18.7%
Dash Punctuation 150
 
2.7%
Uppercase Letter 66
 
1.2%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%
Lowercase Letter 8
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 255
 
8.0%
인 248
 
7.8%
중 246
 
7.7%
천 244
 
7.6%
시 227
 
7.1%
구 216
 
6.8%
역 215
 
6.7%
광 213
 
6.7%
운 100
 
3.1%
층 89
 
2.8%
Other values (199) 1139
35.7%
Uppercase Letter
ValueCountFrequency (%)
A 9
13.6%
C 8
12.1%
S 7
10.6%
K 6
9.1%
H 5
 
7.6%
L 5
 
7.6%
E 4
 
6.1%
B 3
 
4.5%
N 3
 
4.5%
G 3
 
4.5%
Other values (10) 13
19.7%
Decimal Number
ValueCountFrequency (%)
1 249
23.6%
2 166
15.8%
3 117
11.1%
7 115
10.9%
8 110
10.4%
4 77
 
7.3%
5 73
 
6.9%
0 61
 
5.8%
6 44
 
4.2%
9 41
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
y 2
25.0%
t 1
12.5%
i 1
12.5%
c 1
12.5%
k 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 1
33.3%
. 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
1126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3192
56.8%
Common 2358
41.9%
Latin 74
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 255
 
8.0%
인 248
 
7.8%
중 246
 
7.7%
천 244
 
7.6%
시 227
 
7.1%
구 216
 
6.8%
역 215
 
6.7%
광 213
 
6.7%
운 100
 
3.1%
층 89
 
2.8%
Other values (199) 1139
35.7%
Latin
ValueCountFrequency (%)
A 9
12.2%
C 8
 
10.8%
S 7
 
9.5%
K 6
 
8.1%
H 5
 
6.8%
L 5
 
6.8%
E 4
 
5.4%
B 3
 
4.1%
N 3
 
4.1%
G 3
 
4.1%
Other values (16) 21
28.4%
Common
ValueCountFrequency (%)
1126
47.8%
1 249
 
10.6%
2 166
 
7.0%
- 150
 
6.4%
3 117
 
5.0%
7 115
 
4.9%
8 110
 
4.7%
4 77
 
3.3%
5 73
 
3.1%
0 61
 
2.6%
Other values (7) 114
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3192
56.8%
ASCII 2432
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1126
46.3%
1 249
 
10.2%
2 166
 
6.8%
- 150
 
6.2%
3 117
 
4.8%
7 115
 
4.7%
8 110
 
4.5%
4 77
 
3.2%
5 73
 
3.0%
0 61
 
2.5%
Other values (33) 188
 
7.7%
Hangul
ValueCountFrequency (%)
동 255
 
8.0%
인 248
 
7.8%
중 246
 
7.7%
천 244
 
7.6%
시 227
 
7.1%
구 216
 
6.8%
역 215
 
6.7%
광 213
 
6.7%
운 100
 
3.1%
층 89
 
2.8%
Other values (199) 1139
35.7%

소재지전화
Text

MISSING 

Distinct198
Distinct (%)98.5%
Missing12
Missing (%)5.6%
Memory size1.8 KiB
2024-01-28T19:19:23.503855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004975
Min length11

Characters and Unicode

Total characters2413
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

Unique195 ?
Unique (%)97.0%

Sample

1st row032-770-1097
2nd row032-763-3375
3rd row032-762-7831
4th row032-770-9355
5th row032-763-3214
ValueCountFrequency (%)
032-729-2277 2
 
1.0%
032-741-2244 2
 
1.0%
032-744-0314 2
 
1.0%
032-765-0119 1
 
0.5%
032-340-3782 1
 
0.5%
032-890-6605 1
 
0.5%
032-747-1102 1
 
0.5%
032-741-2000 1
 
0.5%
032-572-1004 1
 
0.5%
032-746-7978 1
 
0.5%
Other values (188) 188
93.5%
2024-01-28T19:19:24.028022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 402
16.7%
0 360
14.9%
2 314
13.0%
3 296
12.3%
7 243
10.1%
1 161
6.7%
4 154
 
6.4%
8 139
 
5.8%
5 132
 
5.5%
6 128
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2011
83.3%
Dash Punctuation 402
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 360
17.9%
2 314
15.6%
3 296
14.7%
7 243
12.1%
1 161
8.0%
4 154
7.7%
8 139
 
6.9%
5 132
 
6.6%
6 128
 
6.4%
9 84
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2413
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 402
16.7%
0 360
14.9%
2 314
13.0%
3 296
12.3%
7 243
10.1%
1 161
6.7%
4 154
 
6.4%
8 139
 
5.8%
5 132
 
5.5%
6 128
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 402
16.7%
0 360
14.9%
2 314
13.0%
3 296
12.3%
7 243
10.1%
1 161
6.7%
4 154
 
6.4%
8 139
 
5.8%
5 132
 
5.5%
6 128
 
5.3%

급식소종류
Categorical

Distinct11
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
사업체
42 
학교
35 
산업체
30 
어린이집
29 
사회복지시설
17 
Other values (6)
60 

Length

Max length6
Median length4
Mean length3.4178404
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row학교
2nd row사업체
3rd row병원
4th row사업체
5th row사업체

Common Values

ValueCountFrequency (%)
사업체 42
19.7%
학교 35
16.4%
산업체 30
14.1%
어린이집 29
13.6%
사회복지시설 17
8.0%
공공기관 17
8.0%
<NA> 13
 
6.1%
기타 11
 
5.2%
교육훈련기관 10
 
4.7%
병원 8
 
3.8%

Length

2024-01-28T19:19:24.144967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사업체 42
19.7%
학교 35
16.4%
산업체 30
14.1%
어린이집 29
13.6%
사회복지시설 17
8.0%
공공기관 17
8.0%
na 13
 
6.1%
기타 11
 
5.2%
교육훈련기관 10
 
4.7%
병원 8
 
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2023-07-05 00:00:00
Maximum2023-07-05 00:00:00
2024-01-28T19:19:24.223569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:19:24.287856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-28T19:19:22.200951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:19:22.274910image/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

업소명소재지(지번)소재지전화급식소종류데이터기준일자
0인천해사고등학교인천광역시 중구 북성동1가 102-3032-770-1097학교2023-07-05
1대한사료(주)인천공장인천광역시 중구 북성동1가 3-14032-763-3375사업체2023-07-05
2인천기독병원인천광역시 중구 율목동 237032-762-7831병원2023-07-05
3동화기업(주)인천광역시 중구 북성동1가 6-85032-770-9355사업체2023-07-05
4대한싸이로(주)인천광역시 중구 북성동1가 3032-763-3214사업체2023-07-05
5대한제분(주)인천광역시 중구 북성동1가 4032-765-7803사업체2023-07-05
6대한제당(주)인천광역시 중구 북성동1가 6-14032-770-1410사업체2023-07-05
7GS칼텍스(주) 인천물류센터인천광역시 중구 북성동1가 97-4 지에스칼텍스 주식회사 인천물류센터032-770-2715사업체2023-07-05
8제일사료(주)인천공장인천광역시 중구 항동7가 93-1<NA>사업체2023-07-05
9(주)선광인천광역시 중구 항동7가 34-2032-880-6531사업체2023-07-05
업소명소재지(지번)소재지전화급식소종류데이터기준일자
203꿈꾸는요양원인천광역시 중구 항동7가 87-16 1층<NA><NA>2023-07-05
204해찬나래 어린이집인천광역시 중구 중산동 1913-1 인천 영종A67블록 아파트 단지내 1층 어린이집032-751-0515어린이집2023-07-05
205인천중구구립해송노인요양원인천광역시 중구 운북동 752-79 구립해송노인요양원032-752-0661사회복지시설2023-07-05
206샤프테크닉스케이 항공기정비시설(C) HANGAR동인천광역시 중구 운서동 2851 외 2355필지 항공기정비시설(C)HANGAR/ANNEX동 3층032-742-6900산업체2023-07-05
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