Overview

Dataset statistics

Number of variables3
Number of observations431
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory25.3 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 미추홀구의 안심식당 현황에 대한 데이터로 감염병에 취약한 음식문화 개선을 위해 운영하는 생활방역 우수업소(안심식당)의 연번, 업소명, 소재지(주소) 등의 항목을 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15112426/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:37:32.695399
Analysis finished2024-03-14 10:37:33.701802
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct431
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216
Minimum1
Maximum431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-03-14T19:37:33.928896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.5
Q1108.5
median216
Q3323.5
95-th percentile409.5
Maximum431
Range430
Interquartile range (IQR)215

Descriptive statistics

Standard deviation124.56324
Coefficient of variation (CV)0.57668165
Kurtosis-1.2
Mean216
Median Absolute Deviation (MAD)108
Skewness0
Sum93096
Variance15516
MonotonicityStrictly increasing
2024-03-14T19:37:34.355125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
285 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
Other values (421) 421
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
431 1
0.2%
430 1
0.2%
429 1
0.2%
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%
422 1
0.2%

업소명
Text

Distinct429
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-03-14T19:37:35.304763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.099768
Min length2

Characters and Unicode

Total characters3060
Distinct characters448
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique427 ?
Unique (%)99.1%

Sample

1st row이가돈
2nd row온뚝
3rd row수제샌드위치cafe
4th row불닭발땡초동대문엽기떡볶이
5th row사르르(SARRR)
ValueCountFrequency (%)
주안점 10
 
1.8%
롯데인천터미널점 8
 
1.4%
도화점 7
 
1.2%
인하대점 7
 
1.2%
용현점 7
 
1.2%
인천터미널점 6
 
1.1%
인하대역점 6
 
1.1%
인천도화점 4
 
0.7%
원조부안집 3
 
0.5%
미추홀점 3
 
0.5%
Other values (481) 500
89.1%
2024-03-14T19:37:36.680816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 160
 
5.2%
130
 
4.2%
인 88
 
2.9%
천 65
 
2.1%
이 58
 
1.9%
주 46
 
1.5%
화 46
 
1.5%
스 45
 
1.5%
도 44
 
1.4%
대 40
 
1.3%
Other values (438) 2338
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2776
90.7%
Space Separator 130
 
4.2%
Close Punctuation 35
 
1.1%
Open Punctuation 35
 
1.1%
Decimal Number 30
 
1.0%
Uppercase Letter 28
 
0.9%
Lowercase Letter 15
 
0.5%
Other Punctuation 6
 
0.2%
Other Symbol 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 160
 
5.8%
인 88
 
3.2%
천 65
 
2.3%
이 58
 
2.1%
주 46
 
1.7%
화 46
 
1.7%
스 45
 
1.6%
도 44
 
1.6%
대 40
 
1.4%
안 40
 
1.4%
Other values (399) 2144
77.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
21.4%
R 4
14.3%
E 3
10.7%
C 3
10.7%
H 2
 
7.1%
A 2
 
7.1%
O 2
 
7.1%
F 1
 
3.6%
Q 1
 
3.6%
X 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
p 2
13.3%
a 2
13.3%
c 1
 
6.7%
e 1
 
6.7%
f 1
 
6.7%
u 1
 
6.7%
n 1
 
6.7%
g 1
 
6.7%
t 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 7
23.3%
0 6
20.0%
2 4
13.3%
8 3
10.0%
3 3
10.0%
6 3
10.0%
5 2
 
6.7%
4 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2780
90.8%
Common 236
 
7.7%
Latin 43
 
1.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 160
 
5.8%
인 88
 
3.2%
천 65
 
2.3%
이 58
 
2.1%
주 46
 
1.7%
화 46
 
1.7%
스 45
 
1.6%
도 44
 
1.6%
대 40
 
1.4%
안 40
 
1.4%
Other values (399) 2148
77.3%
Latin
ValueCountFrequency (%)
B 6
14.0%
R 4
 
9.3%
o 3
 
7.0%
E 3
 
7.0%
C 3
 
7.0%
H 2
 
4.7%
p 2
 
4.7%
A 2
 
4.7%
O 2
 
4.7%
a 2
 
4.7%
Other values (14) 14
32.6%
Common
ValueCountFrequency (%)
130
55.1%
) 35
 
14.8%
( 35
 
14.8%
1 7
 
3.0%
0 6
 
2.5%
2 4
 
1.7%
& 4
 
1.7%
8 3
 
1.3%
3 3
 
1.3%
6 3
 
1.3%
Other values (4) 6
 
2.5%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2775
90.7%
ASCII 279
 
9.1%
None 5
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 160
 
5.8%
인 88
 
3.2%
천 65
 
2.3%
이 58
 
2.1%
주 46
 
1.7%
화 46
 
1.7%
스 45
 
1.6%
도 44
 
1.6%
대 40
 
1.4%
안 40
 
1.4%
Other values (398) 2143
77.2%
ASCII
ValueCountFrequency (%)
130
46.6%
) 35
 
12.5%
( 35
 
12.5%
1 7
 
2.5%
B 6
 
2.2%
0 6
 
2.2%
2 4
 
1.4%
& 4
 
1.4%
R 4
 
1.4%
o 3
 
1.1%
Other values (28) 45
 
16.1%
None
ValueCountFrequency (%)
㈜ 5
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지
Text

Distinct324
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-03-14T19:37:37.648879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.698376
Min length16

Characters and Unicode

Total characters8490
Distinct characters82
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

Unique291 ?
Unique (%)67.5%

Sample

1st row인천광역시 미추홀구 토금중로 68
2nd row인천광역시 미추홀구 경인남길30번길 33
3rd row인천광역시 미추홀구 길파로27번길 6
4th row인천광역시 미추홀구 토금중로 25
5th row인천광역시 미추홀구 독배로 311
ValueCountFrequency (%)
인천광역시 431
25.0%
미추홀구 431
25.0%
35 41
 
2.4%
연남로 40
 
2.3%
소성로 24
 
1.4%
용정공원로83번길 20
 
1.2%
경인로 20
 
1.2%
49 16
 
0.9%
미추홀대로 15
 
0.9%
주안로 11
 
0.6%
Other values (321) 675
39.2%
2024-03-14T19:37:38.861908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1293
15.2%
인 513
 
6.0%
홀 468
 
5.5%
미 457
 
5.4%
추 457
 
5.4%
천 436
 
5.1%
구 433
 
5.1%
시 431
 
5.1%
역 431
 
5.1%
광 431
 
5.1%
Other values (72) 3140
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5729
67.5%
Decimal Number 1417
 
16.7%
Space Separator 1293
 
15.2%
Dash Punctuation 51
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 513
9.0%
홀 468
 
8.2%
미 457
 
8.0%
추 457
 
8.0%
천 436
 
7.6%
구 433
 
7.6%
시 431
 
7.5%
역 431
 
7.5%
광 431
 
7.5%
로 415
 
7.2%
Other values (60) 1257
21.9%
Decimal Number
ValueCountFrequency (%)
1 242
17.1%
3 207
14.6%
2 154
10.9%
5 144
10.2%
4 144
10.2%
8 127
9.0%
6 113
8.0%
7 99
7.0%
9 94
 
6.6%
0 93
 
6.6%
Space Separator
ValueCountFrequency (%)
1293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5729
67.5%
Common 2761
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 513
9.0%
홀 468
 
8.2%
미 457
 
8.0%
추 457
 
8.0%
천 436
 
7.6%
구 433
 
7.6%
시 431
 
7.5%
역 431
 
7.5%
광 431
 
7.5%
로 415
 
7.2%
Other values (60) 1257
21.9%
Common
ValueCountFrequency (%)
1293
46.8%
1 242
 
8.8%
3 207
 
7.5%
2 154
 
5.6%
5 144
 
5.2%
4 144
 
5.2%
8 127
 
4.6%
6 113
 
4.1%
7 99
 
3.6%
9 94
 
3.4%
Other values (2) 144
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5729
67.5%
ASCII 2761
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1293
46.8%
1 242
 
8.8%
3 207
 
7.5%
2 154
 
5.6%
5 144
 
5.2%
4 144
 
5.2%
8 127
 
4.6%
6 113
 
4.1%
7 99
 
3.6%
9 94
 
3.4%
Other values (2) 144
 
5.2%
Hangul
ValueCountFrequency (%)
인 513
9.0%
홀 468
 
8.2%
미 457
 
8.0%
추 457
 
8.0%
천 436
 
7.6%
구 433
 
7.6%
시 431
 
7.5%
역 431
 
7.5%
광 431
 
7.5%
로 415
 
7.2%
Other values (60) 1257
21.9%

Interactions

2024-03-14T19:37:33.055614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-14T19:37:33.365079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:37:33.604779image/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

연번업소명소재지
01이가돈인천광역시 미추홀구 토금중로 68
12온뚝인천광역시 미추홀구 경인남길30번길 33
23수제샌드위치cafe인천광역시 미추홀구 길파로27번길 6
34불닭발땡초동대문엽기떡볶이인천광역시 미추홀구 토금중로 25
45사르르(SARRR)인천광역시 미추홀구 독배로 311
56전주콩나루콩나물국밥인천광역시 미추홀구 소성로185번길 16-20
67천년수제갈비인천광역시 미추홀구 한나루로 436-1
78대박한식뷔페인천광역시 미추홀구 인주대로 332
89옹기골순대국인천광역시 미추홀구 소성로 222
910동강어탕국수인천광역시 미추홀구 인하로266번길 10
연번업소명소재지
421422마이디주스(인천터미널점)인천광역시 미추홀구 연남로 35
422423공화춘 롯데인천터미널점인천광역시 미추홀구 연남로 35
423424크리스피크림 롯데백화점 인천터미널점인천광역시 미추홀구 연남로 35
424425롯데리아(롯데백인천터미널점)인천광역시 미추홀구 연남로 35
425426던킨도너츠(인천터미널점)인천광역시 미추홀구 연남로 35
426427옵스 롯데인천터미널점인천광역시 미추홀구 연남로 35
427428바로우인천광역시 미추홀구 연남로 35
428429잠바주스 롯데인천 터미널점인천광역시 미추홀구 연남로 35
429430윤종희전통떡방인천광역시 미추홀구 연남로 35
430431팬아시아 익스프레스인천광역시 미추홀구 연남로 35