Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description인천광역시 서구 식품위생업소 현황 에 관한 데이터입니다. 연번, 업종명, 업소명, 소재지 (도로명) 등의 항목을 제공하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039517&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:33:52.069703
Analysis finished2024-01-28 06:33:53.057035
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5199.9891
Minimum2
Maximum10374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-28T15:33:53.113057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile526.95
Q12611.75
median5209.5
Q37786.25
95-th percentile9852.05
Maximum10374
Range10372
Interquartile range (IQR)5174.5

Descriptive statistics

Standard deviation2991.7809
Coefficient of variation (CV)0.5753437
Kurtosis-1.1984587
Mean5199.9891
Median Absolute Deviation (MAD)2587
Skewness-0.0064344215
Sum51999891
Variance8950753.2
MonotonicityNot monotonic
2024-01-28T15:33:53.212326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3239 1
 
< 0.1%
3448 1
 
< 0.1%
1461 1
 
< 0.1%
9245 1
 
< 0.1%
3966 1
 
< 0.1%
7735 1
 
< 0.1%
117 1
 
< 0.1%
3436 1
 
< 0.1%
5714 1
 
< 0.1%
2127 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
10374 1
< 0.1%
10373 1
< 0.1%
10372 1
< 0.1%
10371 1
< 0.1%
10370 1
< 0.1%
10369 1
< 0.1%
10368 1
< 0.1%
10367 1
< 0.1%
10366 1
< 0.1%
10365 1
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5479 
휴게음식점
1698 
즉석판매제조가공업
675 
집단급식소
 
473
식품제조가공업
 
319
Other values (14)
1356 

Length

Max length11
Median length5
Mean length5.5879
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5479
54.8%
휴게음식점 1698
 
17.0%
즉석판매제조가공업 675
 
6.8%
집단급식소 473
 
4.7%
식품제조가공업 319
 
3.2%
유통전문판매업 240
 
2.4%
식품자동판매기영업 228
 
2.3%
식품소분업 200
 
2.0%
위탁급식영업 179
 
1.8%
제과점영업 136
 
1.4%
Other values (9) 373
 
3.7%

Length

2024-01-28T15:33:53.312121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5479
54.2%
휴게음식점 1698
 
16.8%
즉석판매제조가공업 675
 
6.7%
집단급식소 573
 
5.7%
식품제조가공업 319
 
3.2%
유통전문판매업 240
 
2.4%
식품자동판매기영업 228
 
2.3%
식품소분업 200
 
2.0%
위탁급식영업 179
 
1.8%
제과점영업 136
 
1.3%
Other values (9) 373
 
3.7%

업소명
Text

Distinct8729
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T15:33:53.512303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length7.1861
Min length1

Characters and Unicode

Total characters71861
Distinct characters1081
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7717 ?
Unique (%)77.2%

Sample

1st row무봉리토종순대국
2nd row아빠가만든떡볶이
3rd row신작로식당
4th row돈까스&떡볶이
5th row(주)혜진수산
ValueCountFrequency (%)
청라점 145
 
1.2%
주식회사 97
 
0.8%
세븐일레븐 61
 
0.5%
검단점 50
 
0.4%
인천청라점 46
 
0.4%
씨유 44
 
0.4%
이마트24 26
 
0.2%
검암점 24
 
0.2%
검단신도시점 23
 
0.2%
gs25 23
 
0.2%
Other values (9090) 11729
95.6%
2024-01-28T15:33:53.821883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2441
 
3.4%
2270
 
3.2%
이 1580
 
2.2%
) 1251
 
1.7%
( 1251
 
1.7%
라 1242
 
1.7%
스 1199
 
1.7%
주 1051
 
1.5%
인 970
 
1.3%
청 951
 
1.3%
Other values (1071) 57655
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62460
86.9%
Space Separator 2270
 
3.2%
Uppercase Letter 2078
 
2.9%
Close Punctuation 1252
 
1.7%
Open Punctuation 1252
 
1.7%
Lowercase Letter 1153
 
1.6%
Decimal Number 1149
 
1.6%
Other Punctuation 210
 
0.3%
Dash Punctuation 20
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2441
 
3.9%
이 1580
 
2.5%
라 1242
 
2.0%
스 1199
 
1.9%
주 1051
 
1.7%
인 970
 
1.6%
청 951
 
1.5%
식 882
 
1.4%
천 869
 
1.4%
리 851
 
1.4%
Other values (983) 50424
80.7%
Uppercase Letter
ValueCountFrequency (%)
C 221
 
10.6%
S 202
 
9.7%
O 162
 
7.8%
G 156
 
7.5%
E 150
 
7.2%
A 115
 
5.5%
F 111
 
5.3%
B 109
 
5.2%
P 95
 
4.6%
T 85
 
4.1%
Other values (16) 672
32.3%
Lowercase Letter
ValueCountFrequency (%)
e 182
15.8%
o 113
 
9.8%
a 102
 
8.8%
s 75
 
6.5%
f 72
 
6.2%
c 68
 
5.9%
t 66
 
5.7%
i 64
 
5.6%
n 59
 
5.1%
r 51
 
4.4%
Other values (16) 301
26.1%
Other Punctuation
ValueCountFrequency (%)
& 115
54.8%
, 30
 
14.3%
. 27
 
12.9%
' 14
 
6.7%
· 8
 
3.8%
# 5
 
2.4%
/ 4
 
1.9%
: 2
 
1.0%
! 2
 
1.0%
; 1
 
0.5%
Other values (2) 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 351
30.5%
5 169
14.7%
1 131
 
11.4%
4 119
 
10.4%
0 113
 
9.8%
9 71
 
6.2%
3 65
 
5.7%
8 53
 
4.6%
7 46
 
4.0%
6 31
 
2.7%
Math Symbol
ValueCountFrequency (%)
< 3
37.5%
+ 2
25.0%
> 2
25.0%
~ 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 1251
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1251
99.9%
[ 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
㈜ 6
85.7%
° 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62439
86.9%
Common 6163
 
8.6%
Latin 3232
 
4.5%
Han 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2441
 
3.9%
이 1580
 
2.5%
라 1242
 
2.0%
스 1199
 
1.9%
주 1051
 
1.7%
인 970
 
1.6%
청 951
 
1.5%
식 882
 
1.4%
천 869
 
1.4%
리 851
 
1.4%
Other values (960) 50403
80.7%
Latin
ValueCountFrequency (%)
C 221
 
6.8%
S 202
 
6.2%
e 182
 
5.6%
O 162
 
5.0%
G 156
 
4.8%
E 150
 
4.6%
A 115
 
3.6%
o 113
 
3.5%
F 111
 
3.4%
B 109
 
3.4%
Other values (43) 1711
52.9%
Common
ValueCountFrequency (%)
2270
36.8%
) 1251
20.3%
( 1251
20.3%
2 351
 
5.7%
5 169
 
2.7%
1 131
 
2.1%
4 119
 
1.9%
& 115
 
1.9%
0 113
 
1.8%
9 71
 
1.2%
Other values (24) 322
 
5.2%
Han
ValueCountFrequency (%)
家 2
 
7.4%
張 2
 
7.4%
孝 2
 
7.4%
美 1
 
3.7%
忠 1
 
3.7%
親 1
 
3.7%
牛 1
 
3.7%
酒 1
 
3.7%
永 1
 
3.7%
喜 1
 
3.7%
Other values (14) 14
51.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62430
86.9%
ASCII 9385
 
13.1%
CJK 26
 
< 0.1%
None 15
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2441
 
3.9%
이 1580
 
2.5%
라 1242
 
2.0%
스 1199
 
1.9%
주 1051
 
1.7%
인 970
 
1.6%
청 951
 
1.5%
식 882
 
1.4%
천 869
 
1.4%
리 851
 
1.4%
Other values (958) 50394
80.7%
ASCII
ValueCountFrequency (%)
2270
24.2%
) 1251
 
13.3%
( 1251
 
13.3%
2 351
 
3.7%
C 221
 
2.4%
S 202
 
2.2%
e 182
 
1.9%
5 169
 
1.8%
O 162
 
1.7%
G 156
 
1.7%
Other values (74) 3170
33.8%
None
ValueCountFrequency (%)
· 8
53.3%
㈜ 6
40.0%
° 1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
ㅊ 3
100.0%
CJK
ValueCountFrequency (%)
家 2
 
7.7%
張 2
 
7.7%
孝 2
 
7.7%
美 1
 
3.8%
忠 1
 
3.8%
親 1
 
3.8%
牛 1
 
3.8%
酒 1
 
3.8%
永 1
 
3.8%
喜 1
 
3.8%
Other values (13) 13
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
串 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지 (도로명)
Text

Distinct8854
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T15:33:54.040125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length76
Mean length34.1323
Min length9

Characters and Unicode

Total characters341323
Distinct characters545
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8041 ?
Unique (%)80.4%

Sample

1st row인천광역시 서구 심곡로 41-1 (심곡동,3,4호)
2nd row인천광역시 서구 청마로 64, 111동 B03호 (당하동, 플로채)
3rd row인천광역시 서구 서달로149번길 12-11 (석남동)
4th row인천광역시 서구 청라커낼로 300, 판매6동 111호 (청라동, 청라센트럴에일린의뜰)
5th row인천광역시 서구 소담2로 36, 1동 1층 (금곡동)
ValueCountFrequency (%)
인천광역시 9879
 
14.8%
서구 9877
 
14.8%
1층 2550
 
3.8%
청라동 1431
 
2.1%
가좌동 1316
 
2.0%
석남동 1247
 
1.9%
일부호 774
 
1.2%
일부 733
 
1.1%
가정동 708
 
1.1%
마전동 634
 
0.9%
Other values (5365) 37596
56.3%
2024-01-28T15:33:54.377774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56783
 
16.6%
1 17541
 
5.1%
동 11272
 
3.3%
서 10857
 
3.2%
, 10792
 
3.2%
( 10286
 
3.0%
) 10286
 
3.0%
로 10163
 
3.0%
시 10145
 
3.0%
인 10126
 
3.0%
Other values (535) 183072
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187259
54.9%
Decimal Number 60362
 
17.7%
Space Separator 56783
 
16.6%
Other Punctuation 10864
 
3.2%
Open Punctuation 10288
 
3.0%
Close Punctuation 10288
 
3.0%
Uppercase Letter 2464
 
0.7%
Dash Punctuation 2315
 
0.7%
Lowercase Letter 378
 
0.1%
Math Symbol 319
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11272
 
6.0%
서 10857
 
5.8%
로 10163
 
5.4%
시 10145
 
5.4%
인 10126
 
5.4%
천 10100
 
5.4%
광 9967
 
5.3%
구 9922
 
5.3%
역 9902
 
5.3%
호 5509
 
2.9%
Other values (468) 89296
47.7%
Uppercase Letter
ValueCountFrequency (%)
B 482
19.6%
A 333
13.5%
E 320
13.0%
C 183
 
7.4%
L 177
 
7.2%
P 155
 
6.3%
R 137
 
5.6%
S 105
 
4.3%
K 88
 
3.6%
I 83
 
3.4%
Other values (12) 401
16.3%
Lowercase Letter
ValueCountFrequency (%)
e 102
27.0%
a 68
18.0%
r 66
17.5%
s 58
15.3%
d 45
11.9%
k 22
 
5.8%
c 5
 
1.3%
b 3
 
0.8%
m 2
 
0.5%
o 1
 
0.3%
Other values (6) 6
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 17541
29.1%
2 8320
13.8%
0 7042
11.7%
3 5319
 
8.8%
4 4470
 
7.4%
5 3960
 
6.6%
6 3649
 
6.0%
8 3502
 
5.8%
7 3449
 
5.7%
9 3110
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 10792
99.3%
' 46
 
0.4%
. 15
 
0.1%
& 5
 
< 0.1%
" 2
 
< 0.1%
* 2
 
< 0.1%
/ 1
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 125
39.2%
> 125
39.2%
~ 69
21.6%
Open Punctuation
ValueCountFrequency (%)
( 10286
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10286
> 99.9%
] 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
56783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187259
54.9%
Common 151219
44.3%
Latin 2845
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11272
 
6.0%
서 10857
 
5.8%
로 10163
 
5.4%
시 10145
 
5.4%
인 10126
 
5.4%
천 10100
 
5.4%
광 9967
 
5.3%
구 9922
 
5.3%
역 9902
 
5.3%
호 5509
 
2.9%
Other values (468) 89296
47.7%
Latin
ValueCountFrequency (%)
B 482
16.9%
A 333
11.7%
E 320
11.2%
C 183
 
6.4%
L 177
 
6.2%
P 155
 
5.4%
R 137
 
4.8%
S 105
 
3.7%
e 102
 
3.6%
K 88
 
3.1%
Other values (30) 763
26.8%
Common
ValueCountFrequency (%)
56783
37.6%
1 17541
 
11.6%
, 10792
 
7.1%
( 10286
 
6.8%
) 10286
 
6.8%
2 8320
 
5.5%
0 7042
 
4.7%
3 5319
 
3.5%
4 4470
 
3.0%
5 3960
 
2.6%
Other values (17) 16420
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187154
54.8%
ASCII 154061
45.1%
Compat Jamo 105
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56783
36.9%
1 17541
 
11.4%
, 10792
 
7.0%
( 10286
 
6.7%
) 10286
 
6.7%
2 8320
 
5.4%
0 7042
 
4.6%
3 5319
 
3.5%
4 4470
 
2.9%
5 3960
 
2.6%
Other values (55) 19262
 
12.5%
Hangul
ValueCountFrequency (%)
동 11272
 
6.0%
서 10857
 
5.8%
로 10163
 
5.4%
시 10145
 
5.4%
인 10126
 
5.4%
천 10100
 
5.4%
광 9967
 
5.3%
구 9922
 
5.3%
역 9902
 
5.3%
호 5509
 
2.9%
Other values (467) 89191
47.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 105
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-09-06
10000 

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 10000
100.0%

Length

2024-01-28T15:33:54.475342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:33:54.717406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 10000
100.0%

Interactions

2024-01-28T15:33:52.865924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:33:54.755533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.891
업종명0.8911.000
2024-01-28T15:33:54.821516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.606
업종명0.6061.000

Missing values

2024-01-28T15:33:52.948900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:33:53.019227image/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)데이터기준일자
32383239일반음식점무봉리토종순대국인천광역시 서구 심곡로 41-1 (심곡동,3,4호)2022-09-06
11591160휴게음식점아빠가만든떡볶이인천광역시 서구 청마로 64, 111동 B03호 (당하동, 플로채)2022-09-06
61956196일반음식점신작로식당인천광역시 서구 서달로149번길 12-11 (석남동)2022-09-06
46754676일반음식점돈까스&떡볶이인천광역시 서구 청라커낼로 300, 판매6동 111호 (청라동, 청라센트럴에일린의뜰)2022-09-06
18051806집단급식소 식품판매업(주)혜진수산인천광역시 서구 소담2로 36, 1동 1층 (금곡동)2022-09-06
24292430즉석판매제조가공업맛과멋그리고향기인천광역시 서구 청라커낼로288번길 26, 282호 (청라동)2022-09-06
23522353집단급식소인천환경공단 청라사업소인천광역시 서구 로봇랜드로249번길 38, 인천환경공단청라사업소동 (경서동, 673-6)2022-09-06
77707771일반음식점1지구연탄집인천광역시 서구 승학로 426, 우주프라자 101호 (검암동, 643-2)2022-09-06
39463947일반음식점만억마라탕양꼬치인천광역시 서구 원당대로839번길 35-1, 근생동 B07호B08호 (원당동)2022-09-06
88578858일반음식점지랄닭발인천광역시 서구 염곡로498번안길 5-5, 1층 일부호 (가정동)2022-09-06
연번업종명업소명소재지 (도로명)데이터기준일자
13091310휴게음식점엔제리너스인천광역시 서구 북항로32번안길 50 (원창동, 3층일부)2022-09-06
78097810일반음식점김영화부대찌개&닭볶음탕인천광역시 서구 봉수대로1440번안길 28-16 (왕길동)2022-09-06
270271휴게음식점헌터PC검단본점인천광역시 서구 검단로459번길 10, 왕길프라자 403, 404호 (왕길동)2022-09-06
64676468일반음식점죽이야기석남점인천광역시 서구 길주로75번길 35, 태우상가 108호 (석남동, 523-3)2022-09-06
81928193일반음식점들깨랑김밥인천광역시 서구 가정로307번길 10, 1층 (석남동)2022-09-06
94649465식품제조가공업엠오엠에프앤비인천광역시 서구 보듬로 158, 블루텍 공존202호 (오류동)2022-09-06
26542655즉석판매제조가공업선미네반찬인천광역시 서구 새오개로 69, 1층 일부 (신현동)2022-09-06
32953296일반음식점직화마을(고추장불고기,쭈꾸미)인천광역시 서구 검단로459번길 9 (왕길동,롯데프라자102,103호)2022-09-06
81628163일반음식점동대문 엽기 떡볶이인천광역시 서구 가정로 387, 2층 2호 (신현동, 신현이편한세상상가 가동 )2022-09-06
55785579일반음식점데자뷰인천광역시 서구 서곶로315번길 28, 데자뷰 1~3층 (심곡동)2022-09-06