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 06:34:02.907195
Analysis finished2024-01-28 06:34:04.078037
Duration1.17 second
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%
Mean5199.4982
Minimum1
Maximum10374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-28T15:34:04.132706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile520.95
Q12607.75
median5206.5
Q37798.25
95-th percentile9854.05
Maximum10374
Range10373
Interquartile range (IQR)5190.5

Descriptive statistics

Standard deviation2995.059
Coefficient of variation (CV)0.57602846
Kurtosis-1.2014628
Mean5199.4982
Median Absolute Deviation (MAD)2595.5
Skewness-0.006750756
Sum51994982
Variance8970378.1
MonotonicityNot monotonic
2024-01-28T15:34:04.234686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9720 1
 
< 0.1%
7787 1
 
< 0.1%
2422 1
 
< 0.1%
8504 1
 
< 0.1%
2900 1
 
< 0.1%
7363 1
 
< 0.1%
3558 1
 
< 0.1%
6057 1
 
< 0.1%
2122 1
 
< 0.1%
1949 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 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%
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
5477 
휴게음식점
1702 
즉석판매제조가공업
678 
집단급식소
 
472
식품제조가공업
 
317
Other values (14)
1354 

Length

Max length11
Median length5
Mean length5.5893
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5477
54.8%
휴게음식점 1702
 
17.0%
즉석판매제조가공업 678
 
6.8%
집단급식소 472
 
4.7%
식품제조가공업 317
 
3.2%
유통전문판매업 236
 
2.4%
식품자동판매기영업 229
 
2.3%
식품소분업 199
 
2.0%
위탁급식영업 180
 
1.8%
제과점영업 134
 
1.3%
Other values (9) 376
 
3.8%

Length

2024-01-28T15:34:04.333199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5477
54.2%
휴게음식점 1702
 
16.9%
즉석판매제조가공업 678
 
6.7%
집단급식소 571
 
5.7%
식품제조가공업 317
 
3.1%
유통전문판매업 236
 
2.3%
식품자동판매기영업 229
 
2.3%
식품소분업 199
 
2.0%
위탁급식영업 180
 
1.8%
제과점영업 134
 
1.3%
Other values (9) 376
 
3.7%

업소명
Text

Distinct8724
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T15:34:04.519818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length7.1973
Min length1

Characters and Unicode

Total characters71973
Distinct characters1078
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

Unique7704 ?
Unique (%)77.0%

Sample

1st row다믈식품
2nd row(주)웰스프레쉬 국립생물자원관점
3rd row옥궁
4th row쿠팡 인천4FC
5th row카페휴족시간
ValueCountFrequency (%)
청라점 144
 
1.2%
주식회사 99
 
0.8%
세븐일레븐 58
 
0.5%
검단점 49
 
0.4%
인천청라점 46
 
0.4%
씨유 41
 
0.3%
이마트24 25
 
0.2%
루원시티점 24
 
0.2%
gs25 23
 
0.2%
검단신도시점 23
 
0.2%
Other values (9096) 11731
95.7%
2024-01-28T15:34:04.837148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2442
 
3.4%
2265
 
3.1%
이 1568
 
2.2%
( 1258
 
1.7%
) 1258
 
1.7%
라 1248
 
1.7%
스 1197
 
1.7%
주 1066
 
1.5%
인 975
 
1.4%
청 947
 
1.3%
Other values (1068) 57749
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62478
86.8%
Space Separator 2265
 
3.1%
Uppercase Letter 2138
 
3.0%
Open Punctuation 1259
 
1.7%
Close Punctuation 1259
 
1.7%
Decimal Number 1188
 
1.7%
Lowercase Letter 1137
 
1.6%
Other Punctuation 214
 
0.3%
Dash Punctuation 20
 
< 0.1%
Other Symbol 7
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2442
 
3.9%
이 1568
 
2.5%
라 1248
 
2.0%
스 1197
 
1.9%
주 1066
 
1.7%
인 975
 
1.6%
청 947
 
1.5%
식 900
 
1.4%
천 876
 
1.4%
리 853
 
1.4%
Other values (981) 50406
80.7%
Uppercase Letter
ValueCountFrequency (%)
C 229
 
10.7%
S 210
 
9.8%
O 164
 
7.7%
G 160
 
7.5%
E 157
 
7.3%
A 119
 
5.6%
F 119
 
5.6%
B 113
 
5.3%
P 93
 
4.3%
T 86
 
4.0%
Other values (16) 688
32.2%
Lowercase Letter
ValueCountFrequency (%)
e 183
16.1%
o 112
 
9.9%
a 100
 
8.8%
f 74
 
6.5%
s 72
 
6.3%
c 66
 
5.8%
t 66
 
5.8%
i 63
 
5.5%
n 59
 
5.2%
r 52
 
4.6%
Other values (15) 290
25.5%
Other Punctuation
ValueCountFrequency (%)
& 118
55.1%
, 32
 
15.0%
. 26
 
12.1%
' 14
 
6.5%
· 8
 
3.7%
# 5
 
2.3%
/ 4
 
1.9%
: 2
 
0.9%
! 2
 
0.9%
% 1
 
0.5%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 366
30.8%
5 176
14.8%
1 134
 
11.3%
4 119
 
10.0%
0 116
 
9.8%
9 77
 
6.5%
3 66
 
5.6%
8 53
 
4.5%
7 49
 
4.1%
6 32
 
2.7%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
< 2
33.3%
~ 1
16.7%
> 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1258
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1258
99.9%
] 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
㈜ 6
85.7%
° 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62458
86.8%
Common 6213
 
8.6%
Latin 3276
 
4.6%
Han 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2442
 
3.9%
이 1568
 
2.5%
라 1248
 
2.0%
스 1197
 
1.9%
주 1066
 
1.7%
인 975
 
1.6%
청 947
 
1.5%
식 900
 
1.4%
천 876
 
1.4%
리 853
 
1.4%
Other values (959) 50386
80.7%
Latin
ValueCountFrequency (%)
C 229
 
7.0%
S 210
 
6.4%
e 183
 
5.6%
O 164
 
5.0%
G 160
 
4.9%
E 157
 
4.8%
A 119
 
3.6%
F 119
 
3.6%
B 113
 
3.4%
o 112
 
3.4%
Other values (42) 1710
52.2%
Common
ValueCountFrequency (%)
2265
36.5%
( 1258
20.2%
) 1258
20.2%
2 366
 
5.9%
5 176
 
2.8%
1 134
 
2.2%
4 119
 
1.9%
& 118
 
1.9%
0 116
 
1.9%
9 77
 
1.2%
Other values (24) 326
 
5.2%
Han
ValueCountFrequency (%)
張 2
 
7.7%
孝 2
 
7.7%
家 2
 
7.7%
洪 1
 
3.8%
火 1
 
3.8%
辛 1
 
3.8%
磊 1
 
3.8%
中 1
 
3.8%
華 1
 
3.8%
料 1
 
3.8%
Other values (13) 13
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62449
86.8%
ASCII 9479
 
13.2%
CJK 25
 
< 0.1%
None 15
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2442
 
3.9%
이 1568
 
2.5%
라 1248
 
2.0%
스 1197
 
1.9%
주 1066
 
1.7%
인 975
 
1.6%
청 947
 
1.5%
식 900
 
1.4%
천 876
 
1.4%
리 853
 
1.4%
Other values (957) 50377
80.7%
ASCII
ValueCountFrequency (%)
2265
23.9%
( 1258
 
13.3%
) 1258
 
13.3%
2 366
 
3.9%
C 229
 
2.4%
S 210
 
2.2%
e 183
 
1.9%
5 176
 
1.9%
O 164
 
1.7%
G 160
 
1.7%
Other values (73) 3210
33.9%
None
ValueCountFrequency (%)
· 8
53.3%
㈜ 6
40.0%
° 1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
ㅊ 3
100.0%
CJK
ValueCountFrequency (%)
張 2
 
8.0%
孝 2
 
8.0%
家 2
 
8.0%
洪 1
 
4.0%
火 1
 
4.0%
辛 1
 
4.0%
磊 1
 
4.0%
中 1
 
4.0%
華 1
 
4.0%
料 1
 
4.0%
Other values (12) 12
48.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
串 1
100.0%

소재지 (도로명)
Text

Distinct8850
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T15:34:05.082103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length74
Mean length34.1449
Min length9

Characters and Unicode

Total characters341449
Distinct characters544
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

Unique8028 ?
Unique (%)80.3%

Sample

1st row인천광역시 서구 백범로630번길 22, 2층 215호 (가좌동, (인천축산물백화점))
2nd row인천광역시 서구 환경로 42, 국립생물자원관 (경서동)
3rd row인천광역시 서구 신석로 100 (석남동)
4th row인천광역시 서구 갑문4로 25, 2,4층 (오류동)
5th row인천광역시 서구 청라커낼로260번길 27, 청라한신더휴커낼웨이 B101호 (청라동)
ValueCountFrequency (%)
인천광역시 9882
 
14.8%
서구 9880
 
14.8%
1층 2566
 
3.8%
청라동 1432
 
2.1%
가좌동 1324
 
2.0%
석남동 1249
 
1.9%
일부호 771
 
1.2%
일부 738
 
1.1%
가정동 707
 
1.1%
마전동 627
 
0.9%
Other values (5368) 37595
56.3%
2024-01-28T15:34:05.429764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56807
 
16.6%
1 17552
 
5.1%
동 11281
 
3.3%
서 10873
 
3.2%
, 10816
 
3.2%
( 10292
 
3.0%
) 10292
 
3.0%
로 10171
 
3.0%
시 10148
 
3.0%
인 10127
 
3.0%
Other values (534) 183090
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187291
54.9%
Decimal Number 60465
 
17.7%
Space Separator 56807
 
16.6%
Other Punctuation 10886
 
3.2%
Open Punctuation 10294
 
3.0%
Close Punctuation 10294
 
3.0%
Uppercase Letter 2421
 
0.7%
Dash Punctuation 2324
 
0.7%
Lowercase Letter 352
 
0.1%
Math Symbol 312
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11281
 
6.0%
서 10873
 
5.8%
로 10171
 
5.4%
시 10148
 
5.4%
인 10127
 
5.4%
천 10107
 
5.4%
광 9970
 
5.3%
구 9925
 
5.3%
역 9904
 
5.3%
호 5515
 
2.9%
Other values (467) 89270
47.7%
Uppercase Letter
ValueCountFrequency (%)
B 476
19.7%
A 327
13.5%
E 312
12.9%
C 179
 
7.4%
L 171
 
7.1%
P 152
 
6.3%
R 136
 
5.6%
S 102
 
4.2%
K 87
 
3.6%
I 78
 
3.2%
Other values (12) 401
16.6%
Lowercase Letter
ValueCountFrequency (%)
e 93
26.4%
a 63
17.9%
r 61
17.3%
s 54
15.3%
d 41
11.6%
k 22
 
6.2%
c 5
 
1.4%
n 2
 
0.6%
p 2
 
0.6%
b 2
 
0.6%
Other values (6) 7
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 17552
29.0%
2 8363
13.8%
0 7049
11.7%
3 5335
 
8.8%
4 4523
 
7.5%
5 3939
 
6.5%
6 3654
 
6.0%
8 3523
 
5.8%
7 3423
 
5.7%
9 3104
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 10816
99.4%
' 42
 
0.4%
. 15
 
0.1%
& 7
 
0.1%
* 2
 
< 0.1%
" 2
 
< 0.1%
/ 1
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 122
39.1%
< 122
39.1%
~ 68
21.8%
Open Punctuation
ValueCountFrequency (%)
( 10292
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10292
> 99.9%
] 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
56807
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187291
54.9%
Common 151382
44.3%
Latin 2776
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11281
 
6.0%
서 10873
 
5.8%
로 10171
 
5.4%
시 10148
 
5.4%
인 10127
 
5.4%
천 10107
 
5.4%
광 9970
 
5.3%
구 9925
 
5.3%
역 9904
 
5.3%
호 5515
 
2.9%
Other values (467) 89270
47.7%
Latin
ValueCountFrequency (%)
B 476
17.1%
A 327
11.8%
E 312
11.2%
C 179
 
6.4%
L 171
 
6.2%
P 152
 
5.5%
R 136
 
4.9%
S 102
 
3.7%
e 93
 
3.4%
K 87
 
3.1%
Other values (30) 741
26.7%
Common
ValueCountFrequency (%)
56807
37.5%
1 17552
 
11.6%
, 10816
 
7.1%
( 10292
 
6.8%
) 10292
 
6.8%
2 8363
 
5.5%
0 7049
 
4.7%
3 5335
 
3.5%
4 4523
 
3.0%
5 3939
 
2.6%
Other values (17) 16414
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187186
54.8%
ASCII 154155
45.1%
Compat Jamo 105
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56807
36.9%
1 17552
 
11.4%
, 10816
 
7.0%
( 10292
 
6.7%
) 10292
 
6.7%
2 8363
 
5.4%
0 7049
 
4.6%
3 5335
 
3.5%
4 4523
 
2.9%
5 3939
 
2.6%
Other values (55) 19187
 
12.4%
Hangul
ValueCountFrequency (%)
동 11281
 
6.0%
서 10873
 
5.8%
로 10171
 
5.4%
시 10148
 
5.4%
인 10127
 
5.4%
천 10107
 
5.4%
광 9970
 
5.3%
구 9925
 
5.3%
역 9904
 
5.3%
호 5515
 
2.9%
Other values (466) 89165
47.6%
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

2024-01-28T15:34:05.527933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:34:05.592540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 10000
100.0%

Interactions

2024-01-28T15:34:03.873990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:34:05.629697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.891
업종명0.8911.000
2024-01-28T15:34:05.688401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.605
업종명0.6051.000

Missing values

2024-01-28T15:34:03.961187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:34:04.039363image/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
97199720식품제조가공업다믈식품인천광역시 서구 백범로630번길 22, 2층 215호 (가좌동, (인천축산물백화점))2022-09-06
12931294휴게음식점(주)웰스프레쉬 국립생물자원관점인천광역시 서구 환경로 42, 국립생물자원관 (경서동)2022-09-06
99419942식품자동판매기영업옥궁인천광역시 서구 신석로 100 (석남동)2022-09-06
19341935집단급식소쿠팡 인천4FC인천광역시 서구 갑문4로 25, 2,4층 (오류동)2022-09-06
47854786일반음식점카페휴족시간인천광역시 서구 청라커낼로260번길 27, 청라한신더휴커낼웨이 B101호 (청라동)2022-09-06
51375138일반음식점오렌지카운티인천광역시 서구 담지로86번길 16-47, 1층일부 (청라동)2022-09-06
42594260일반음식점착한콩 청국장인천광역시 서구 건지로 167 (석남동, 1층일부)2022-09-06
73367337일반음식점은빛분식인천광역시 서구 검암로10번길 39 (검암동,풍림아이원3차아파트상가 208호, 209호)2022-09-06
1006310064식품소분업(주)제이엠지티인천광역시 서구 검암로 7, 1층 일부호 (검암동)2022-09-06
55215522일반음식점순살만공격 검단신도시점인천광역시 서구 원당대로 677 (마전동)2022-09-06
연번업종명업소명소재지 (도로명)데이터기준일자
68756876일반음식점타임인천광역시 서구 길주로 101 (석남동)2022-09-06
13491350휴게음식점꿈앤카페 빛솔인천광역시 서구 심곡로 98 (심곡동, 인천광역시 인재개발원 구관1층)2022-09-06
1016610167식품소분업(주)찬팩토리인천광역시 서구 청중로478번길 20, 4층일부 (가정동)2022-09-06
14491450휴게음식점주식회사 냠냠마켓 검단점인천광역시 서구 청마로7번길 21, 1층 101호 (당하동)2022-09-06
77417742일반음식점김천재의육회반한연어 청라점인천광역시 서구 청라에메랄드로 49, 104,105호 (청라동)2022-09-06
75747575일반음식점김포해장국인천광역시 서구 원당대로 109 (오류동, 103호)2022-09-06
56785679일반음식점달빛경성술집 검암점인천광역시 서구 승학로483번길 2, 우창프라자 201호 (검암동)2022-09-06
47234724일반음식점낭만낙곱새인천광역시 서구 고산후로 170, 102호 (원당동)2022-09-06
60146015일반음식점교촌치킨(마전,당하점)인천광역시 서구 완정로 18 (마전동, 한윤빌딩 102호)2022-09-06
30183019즉석판매제조가공업건강나라인천광역시 서구 율도로77번길 42 (신현동)2022-09-06