Overview

Dataset statistics

Number of variables12
Number of observations504
Missing cells7
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.9 KiB
Average record size in memory99.3 B

Variable types

Categorical4
DateTime1
Text4
Numeric3

Dataset

Description식품관련업소(식품제조가공업,즉석판매제조가공업, 식품소분업,식품자동판매기업, 용기포장류제조업,건강기능식품판매업 업종별 업소명, 소재지주소, 위치, 연락처 등) 정보 공개
URLhttps://www.data.go.kr/data/3080202/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업종명 is highly overall correlated with 관리기관전화번호High correlation
관리기관전화번호 is highly overall correlated with 업종명High correlation
영업장면적 is highly skewed (γ1 = 21.48303611)Skewed
영업장면적 has 274 (54.4%) zerosZeros

Reproduction

Analysis started2023-12-12 08:27:31.664908
Analysis finished2023-12-12 08:27:33.916489
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
건강기능식품일반판매업
180 
즉석판매제조가공업
156 
식품자동판매기영업
53 
식품제조가공업
30 
유통전문판매업
23 
Other values (8)
62 

Length

Max length13
Median length11
Mean length9.3988095
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 180
35.7%
즉석판매제조가공업 156
31.0%
식품자동판매기영업 53
 
10.5%
식품제조가공업 30
 
6.0%
유통전문판매업 23
 
4.6%
집단급식소 식품판매업 22
 
4.4%
식품소분업 17
 
3.4%
기타식품판매업 10
 
2.0%
식품운반업 4
 
0.8%
용기.포장지제조업 3
 
0.6%
Other values (3) 6
 
1.2%

Length

2023-12-12T17:27:33.997130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건강기능식품일반판매업 180
34.2%
즉석판매제조가공업 156
29.7%
식품자동판매기영업 53
 
10.1%
식품제조가공업 30
 
5.7%
유통전문판매업 23
 
4.4%
집단급식소 22
 
4.2%
식품판매업 22
 
4.2%
식품소분업 17
 
3.2%
기타식품판매업 10
 
1.9%
식품운반업 4
 
0.8%
Other values (4) 9
 
1.7%

인허가일자
Date

Distinct433
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum1974-12-30 00:00:00
Maximum2023-06-12 00:00:00
2023-12-12T17:27:34.136429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:34.297532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct477
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T17:27:34.603654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19.5
Mean length7.0515873
Min length2

Characters and Unicode

Total characters3554
Distinct characters488
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)90.1%

Sample

1st row한신식품
2nd row가나식품공업사
3rd row동신식품
4th row(유)금토일종합식품 농업회사법인
5th row(주)굿모닝서울
ValueCountFrequency (%)
주식회사 15
 
2.5%
농업회사법인 7
 
1.2%
애터미 6
 
1.0%
동두천점 4
 
0.7%
티클라우드 3
 
0.5%
한양제과주식회사 3
 
0.5%
롯데쇼핑(주)롯데마트동두천점 3
 
0.5%
인셀덤 3
 
0.5%
블레싱마케팅 3
 
0.5%
주)국민마트 3
 
0.5%
Other values (516) 543
91.6%
2023-12-12T17:27:35.026991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
2.5%
주 84
 
2.4%
동 83
 
2.3%
) 78
 
2.2%
( 78
 
2.2%
이 74
 
2.1%
천 71
 
2.0%
두 69
 
1.9%
식 65
 
1.8%
트 62
 
1.7%
Other values (478) 2801
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3065
86.2%
Uppercase Letter 109
 
3.1%
Space Separator 89
 
2.5%
Lowercase Letter 80
 
2.3%
Close Punctuation 78
 
2.2%
Open Punctuation 78
 
2.2%
Decimal Number 42
 
1.2%
Other Punctuation 10
 
0.3%
Dash Punctuation 2
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
2.7%
동 83
 
2.7%
이 74
 
2.4%
천 71
 
2.3%
두 69
 
2.3%
식 65
 
2.1%
트 62
 
2.0%
스 58
 
1.9%
마 57
 
1.9%
점 56
 
1.8%
Other values (418) 2386
77.8%
Uppercase Letter
ValueCountFrequency (%)
C 15
13.8%
S 11
 
10.1%
A 8
 
7.3%
E 8
 
7.3%
G 7
 
6.4%
I 6
 
5.5%
O 6
 
5.5%
T 5
 
4.6%
B 4
 
3.7%
P 4
 
3.7%
Other values (12) 35
32.1%
Lowercase Letter
ValueCountFrequency (%)
e 14
17.5%
l 12
15.0%
r 8
10.0%
m 8
10.0%
o 6
7.5%
y 5
 
6.2%
a 4
 
5.0%
n 4
 
5.0%
u 4
 
5.0%
i 2
 
2.5%
Other values (10) 13
16.2%
Decimal Number
ValueCountFrequency (%)
2 13
31.0%
4 7
16.7%
5 6
14.3%
3 5
 
11.9%
1 5
 
11.9%
7 2
 
4.8%
6 2
 
4.8%
0 1
 
2.4%
9 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
& 3
30.0%
· 1
 
10.0%
, 1
 
10.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3065
86.2%
Common 300
 
8.4%
Latin 189
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
2.7%
동 83
 
2.7%
이 74
 
2.4%
천 71
 
2.3%
두 69
 
2.3%
식 65
 
2.1%
트 62
 
2.0%
스 58
 
1.9%
마 57
 
1.9%
점 56
 
1.8%
Other values (418) 2386
77.8%
Latin
ValueCountFrequency (%)
C 15
 
7.9%
e 14
 
7.4%
l 12
 
6.3%
S 11
 
5.8%
r 8
 
4.2%
A 8
 
4.2%
m 8
 
4.2%
E 8
 
4.2%
G 7
 
3.7%
I 6
 
3.2%
Other values (32) 92
48.7%
Common
ValueCountFrequency (%)
89
29.7%
) 78
26.0%
( 78
26.0%
2 13
 
4.3%
4 7
 
2.3%
5 6
 
2.0%
3 5
 
1.7%
. 5
 
1.7%
1 5
 
1.7%
& 3
 
1.0%
Other values (8) 11
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3065
86.2%
ASCII 488
 
13.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
18.2%
) 78
16.0%
( 78
16.0%
C 15
 
3.1%
e 14
 
2.9%
2 13
 
2.7%
l 12
 
2.5%
S 11
 
2.3%
r 8
 
1.6%
A 8
 
1.6%
Other values (49) 162
33.2%
Hangul
ValueCountFrequency (%)
주 84
 
2.7%
동 83
 
2.7%
이 74
 
2.4%
천 71
 
2.3%
두 69
 
2.3%
식 65
 
2.1%
트 62
 
2.0%
스 58
 
1.9%
마 57
 
1.9%
점 56
 
1.8%
Other values (418) 2386
77.8%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct449
Distinct (%)90.0%
Missing5
Missing (%)1.0%
Memory size4.1 KiB
2023-12-12T17:27:35.430632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length30.41483
Min length20

Characters and Unicode

Total characters15177
Distinct characters222
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)83.0%

Sample

1st row경기도 동두천시 봉동로 255-46 (하봉암동)
2nd row경기도 동두천시 쇠목길4번길 42 (광암동)
3rd row경기도 동두천시 삼육사로692번길 78-21 (상패동)
4th row경기도 동두천시 신천로366번길 37 (상봉암동)
5th row경기도 동두천시 평화로2862번길 35 (상봉암동)
ValueCountFrequency (%)
경기도 499
 
16.1%
동두천시 499
 
16.1%
생연동 186
 
6.0%
지행동 108
 
3.5%
1층 83
 
2.7%
중앙로 67
 
2.2%
송내동 56
 
1.8%
평화로 43
 
1.4%
2층 40
 
1.3%
동두천로 36
 
1.2%
Other values (637) 1474
47.7%
2023-12-12T17:27:36.138855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2594
 
17.1%
동 1202
 
7.9%
1 626
 
4.1%
천 581
 
3.8%
두 570
 
3.8%
시 526
 
3.5%
) 501
 
3.3%
( 501
 
3.3%
기 500
 
3.3%
경 499
 
3.3%
Other values (212) 7077
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8484
55.9%
Space Separator 2594
 
17.1%
Decimal Number 2575
 
17.0%
Close Punctuation 501
 
3.3%
Open Punctuation 501
 
3.3%
Other Punctuation 392
 
2.6%
Dash Punctuation 111
 
0.7%
Uppercase Letter 17
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1202
 
14.2%
천 581
 
6.8%
두 570
 
6.7%
시 526
 
6.2%
기 500
 
5.9%
경 499
 
5.9%
도 499
 
5.9%
로 495
 
5.8%
생 229
 
2.7%
연 221
 
2.6%
Other values (185) 3162
37.3%
Decimal Number
ValueCountFrequency (%)
1 626
24.3%
2 453
17.6%
0 317
12.3%
3 285
11.1%
6 190
 
7.4%
9 162
 
6.3%
4 161
 
6.3%
5 156
 
6.1%
7 132
 
5.1%
8 93
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
L 4
23.5%
H 3
17.6%
B 3
17.6%
P 1
 
5.9%
S 1
 
5.9%
G 1
 
5.9%
M 1
 
5.9%
J 1
 
5.9%
D 1
 
5.9%
A 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2594
100.0%
Close Punctuation
ValueCountFrequency (%)
) 501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 501
100.0%
Other Punctuation
ValueCountFrequency (%)
, 392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8484
55.9%
Common 6675
44.0%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1202
 
14.2%
천 581
 
6.8%
두 570
 
6.7%
시 526
 
6.2%
기 500
 
5.9%
경 499
 
5.9%
도 499
 
5.9%
로 495
 
5.8%
생 229
 
2.7%
연 221
 
2.6%
Other values (185) 3162
37.3%
Common
ValueCountFrequency (%)
2594
38.9%
1 626
 
9.4%
) 501
 
7.5%
( 501
 
7.5%
2 453
 
6.8%
, 392
 
5.9%
0 317
 
4.7%
3 285
 
4.3%
6 190
 
2.8%
9 162
 
2.4%
Other values (6) 654
 
9.8%
Latin
ValueCountFrequency (%)
L 4
22.2%
H 3
16.7%
B 3
16.7%
P 1
 
5.6%
b 1
 
5.6%
S 1
 
5.6%
G 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8484
55.9%
ASCII 6693
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2594
38.8%
1 626
 
9.4%
) 501
 
7.5%
( 501
 
7.5%
2 453
 
6.8%
, 392
 
5.9%
0 317
 
4.7%
3 285
 
4.3%
6 190
 
2.8%
9 162
 
2.4%
Other values (17) 672
 
10.0%
Hangul
ValueCountFrequency (%)
동 1202
 
14.2%
천 581
 
6.8%
두 570
 
6.7%
시 526
 
6.2%
기 500
 
5.9%
경 499
 
5.9%
도 499
 
5.9%
로 495
 
5.8%
생 229
 
2.7%
연 221
 
2.6%
Other values (185) 3162
37.3%

소재지(지번)
Text

Distinct401
Distinct (%)79.9%
Missing2
Missing (%)0.4%
Memory size4.1 KiB
2023-12-12T17:27:36.590510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length22.227092
Min length16

Characters and Unicode

Total characters11158
Distinct characters182
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

Unique337 ?
Unique (%)67.1%

Sample

1st row경기도 동두천시 하봉암동 396
2nd row경기도 동두천시 광암동 214-2
3rd row경기도 동두천시 상패동 648-2
4th row경기도 동두천시 상봉암동 213-12
5th row경기도 동두천시 상봉암동 147-16
ValueCountFrequency (%)
경기도 502
21.6%
동두천시 502
21.6%
생연동 197
 
8.5%
지행동 116
 
5.0%
송내동 57
 
2.5%
상패동 39
 
1.7%
상봉암동 22
 
0.9%
탑동동 16
 
0.7%
보산동 16
 
0.7%
아파트 14
 
0.6%
Other values (516) 845
36.3%
2023-12-12T17:27:37.218611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2301
20.6%
동 1086
 
9.7%
두 526
 
4.7%
천 525
 
4.7%
시 506
 
4.5%
경 502
 
4.5%
도 502
 
4.5%
기 502
 
4.5%
1 447
 
4.0%
- 406
 
3.6%
Other values (172) 3855
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6194
55.5%
Space Separator 2301
 
20.6%
Decimal Number 2235
 
20.0%
Dash Punctuation 406
 
3.6%
Uppercase Letter 10
 
0.1%
Other Punctuation 7
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1086
17.5%
두 526
 
8.5%
천 525
 
8.5%
시 506
 
8.2%
경 502
 
8.1%
도 502
 
8.1%
기 502
 
8.1%
생 202
 
3.3%
연 202
 
3.3%
지 157
 
2.5%
Other values (151) 1484
24.0%
Decimal Number
ValueCountFrequency (%)
1 447
20.0%
2 260
11.6%
6 250
11.2%
3 229
10.2%
7 188
8.4%
4 186
8.3%
9 184
8.2%
5 181
8.1%
8 165
 
7.4%
0 145
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
L 3
30.0%
H 3
30.0%
B 2
20.0%
J 1
 
10.0%
M 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 406
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6194
55.5%
Common 4954
44.4%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1086
17.5%
두 526
 
8.5%
천 525
 
8.5%
시 506
 
8.2%
경 502
 
8.1%
도 502
 
8.1%
기 502
 
8.1%
생 202
 
3.3%
연 202
 
3.3%
지 157
 
2.5%
Other values (151) 1484
24.0%
Common
ValueCountFrequency (%)
2301
46.4%
1 447
 
9.0%
- 406
 
8.2%
2 260
 
5.2%
6 250
 
5.0%
3 229
 
4.6%
7 188
 
3.8%
4 186
 
3.8%
9 184
 
3.7%
5 181
 
3.7%
Other values (6) 322
 
6.5%
Latin
ValueCountFrequency (%)
L 3
30.0%
H 3
30.0%
B 2
20.0%
J 1
 
10.0%
M 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6194
55.5%
ASCII 4964
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2301
46.4%
1 447
 
9.0%
- 406
 
8.2%
2 260
 
5.2%
6 250
 
5.0%
3 229
 
4.6%
7 188
 
3.8%
4 186
 
3.7%
9 184
 
3.7%
5 181
 
3.6%
Other values (11) 332
 
6.7%
Hangul
ValueCountFrequency (%)
동 1086
17.5%
두 526
 
8.5%
천 525
 
8.5%
시 506
 
8.2%
경 502
 
8.1%
도 502
 
8.1%
기 502
 
8.1%
생 202
 
3.3%
연 202
 
3.3%
지 157
 
2.5%
Other values (151) 1484
24.0%

위도
Real number (ℝ)

Distinct360
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.902768
Minimum37.87569
Maximum37.96918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T17:27:37.421693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.87569
5-th percentile37.882431
Q137.892248
median37.89997
Q337.906879
95-th percentile37.94589
Maximum37.96918
Range0.09348964
Interquartile range (IQR)0.014630677

Descriptive statistics

Standard deviation0.017460876
Coefficient of variation (CV)0.00046067548
Kurtosis3.7071877
Mean37.902768
Median Absolute Deviation (MAD)0.0072797
Skewness1.8044281
Sum19102.995
Variance0.00030488218
MonotonicityNot monotonic
2023-12-12T17:27:37.600702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.89276613 8
 
1.6%
37.88089276 7
 
1.4%
37.88901797 6
 
1.2%
37.90045745 6
 
1.2%
37.90673389 5
 
1.0%
37.88567843 5
 
1.0%
37.89996973 5
 
1.0%
37.89999628 5
 
1.0%
37.89401841 4
 
0.8%
37.88204006 4
 
0.8%
Other values (350) 449
89.1%
ValueCountFrequency (%)
37.87569019 1
 
0.2%
37.87596213 3
0.6%
37.87805546 1
 
0.2%
37.8804864 3
0.6%
37.88089276 7
1.4%
37.88204006 4
0.8%
37.88207468 1
 
0.2%
37.88210161 1
 
0.2%
37.88229073 1
 
0.2%
37.88229254 1
 
0.2%
ValueCountFrequency (%)
37.96917983 1
 
0.2%
37.96886989 1
 
0.2%
37.96818104 1
 
0.2%
37.96780071 3
0.6%
37.9658966 3
0.6%
37.96260977 1
 
0.2%
37.96196983 2
0.4%
37.96195957 1
 
0.2%
37.95311405 1
 
0.2%
37.95074119 1
 
0.2%

경도
Real number (ℝ)

Distinct360
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05709
Minimum127.01665
Maximum127.1344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T17:27:37.783279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01665
5-th percentile127.04582
Q1127.05197
median127.05427
Q3127.0595
95-th percentile127.08775
Maximum127.1344
Range0.1177448
Interquartile range (IQR)0.007528775

Descriptive statistics

Standard deviation0.012768192
Coefficient of variation (CV)0.00010049178
Kurtosis8.2666984
Mean127.05709
Median Absolute Deviation (MAD)0.003666
Skewness2.0065618
Sum64036.771
Variance0.00016302674
MonotonicityNot monotonic
2023-12-12T17:27:37.973199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0517101 8
 
1.6%
127.0532263 7
 
1.4%
127.0496744 6
 
1.2%
127.0501962 6
 
1.2%
127.0534568 5
 
1.0%
127.0903274 5
 
1.0%
127.052292 5
 
1.0%
127.0615383 5
 
1.0%
127.0492117 4
 
0.8%
127.0539244 4
 
0.8%
Other values (350) 449
89.1%
ValueCountFrequency (%)
127.0166529 1
0.2%
127.0194337 1
0.2%
127.023205 1
0.2%
127.0248274 1
0.2%
127.0248487 2
0.4%
127.026599 1
0.2%
127.0272162 1
0.2%
127.02871 1
0.2%
127.0307924 1
0.2%
127.032585 1
0.2%
ValueCountFrequency (%)
127.1343977 1
0.2%
127.12062 2
0.4%
127.1174837 1
0.2%
127.1072854 2
0.4%
127.1040119 1
0.2%
127.1026032 1
0.2%
127.100828 1
0.2%
127.0986304 1
0.2%
127.0964303 1
0.2%
127.0906781 1
0.2%

영업장면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct225
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.75567
Minimum0
Maximum68082
Zeros274
Zeros (%)54.4%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T17:27:38.161500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.3925
95-th percentile440.3265
Maximum68082
Range68082
Interquartile range (IQR)32.3925

Descriptive statistics

Standard deviation3074.6536
Coefficient of variation (CV)12.511018
Kurtosis473.81298
Mean245.75567
Median Absolute Deviation (MAD)0
Skewness21.483036
Sum123860.86
Variance9453494.9
MonotonicityNot monotonic
2023-12-12T17:27:38.388085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 274
54.4%
30.19 2
 
0.4%
21.46 2
 
0.4%
2.0 2
 
0.4%
4.0 2
 
0.4%
54.0 2
 
0.4%
33.7 2
 
0.4%
19.78 1
 
0.2%
0.61 1
 
0.2%
44.85 1
 
0.2%
Other values (215) 215
42.7%
ValueCountFrequency (%)
0.0 274
54.4%
0.29 1
 
0.2%
0.49 1
 
0.2%
0.61 1
 
0.2%
2.0 2
 
0.4%
2.61 1
 
0.2%
3.1 1
 
0.2%
3.3 1
 
0.2%
3.47 1
 
0.2%
3.92 1
 
0.2%
ValueCountFrequency (%)
68082.0 1
0.2%
7807.26 1
0.2%
5700.88 1
0.2%
3305.47 1
0.2%
3075.09 1
0.2%
2398.86 1
0.2%
1902.69 1
0.2%
1866.82 1
0.2%
1854.37 1
0.2%
1799.24 1
0.2%

소재지전화
Text

Distinct236
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T17:27:39.057240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.011905
Min length7

Characters and Unicode

Total characters5046
Distinct characters18
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

Unique216 ?
Unique (%)42.9%

Sample

1st row031-865-3309
2nd row 031-867-3501
3rd row 031-862-0104
4th row 031-865-3114
5th row 031-868-8881
ValueCountFrequency (%)
데이터 243
32.2%
미집계 243
32.2%
031-830-2530 5
 
0.7%
031-869-7770 4
 
0.5%
031-861-3300 3
 
0.4%
031-864-2085 3
 
0.4%
031-859-9555 2
 
0.3%
031-866 2
 
0.3%
031 2
 
0.3%
031-862-5287 2
 
0.3%
Other values (232) 246
32.6%
2023-12-12T17:27:39.588049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 520
 
10.3%
451
 
8.9%
0 422
 
8.4%
8 407
 
8.1%
3 399
 
7.9%
1 367
 
7.3%
6 313
 
6.2%
이 243
 
4.8%
데 243
 
4.8%
계 243
 
4.8%
Other values (8) 1438
28.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2617
51.9%
Other Letter 1458
28.9%
Dash Punctuation 520
 
10.3%
Space Separator 451
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 422
16.1%
8 407
15.6%
3 399
15.2%
1 367
14.0%
6 313
12.0%
5 191
7.3%
2 164
 
6.3%
7 147
 
5.6%
4 114
 
4.4%
9 93
 
3.6%
Other Letter
ValueCountFrequency (%)
이 243
16.7%
데 243
16.7%
계 243
16.7%
집 243
16.7%
미 243
16.7%
터 243
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 520
100.0%
Space Separator
ValueCountFrequency (%)
451
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3588
71.1%
Hangul 1458
28.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 520
14.5%
451
12.6%
0 422
11.8%
8 407
11.3%
3 399
11.1%
1 367
10.2%
6 313
8.7%
5 191
 
5.3%
2 164
 
4.6%
7 147
 
4.1%
Other values (2) 207
 
5.8%
Hangul
ValueCountFrequency (%)
이 243
16.7%
데 243
16.7%
계 243
16.7%
집 243
16.7%
미 243
16.7%
터 243
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3588
71.1%
Hangul 1458
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 520
14.5%
451
12.6%
0 422
11.8%
8 407
11.3%
3 399
11.1%
1 367
10.2%
6 313
8.7%
5 191
 
5.3%
2 164
 
4.6%
7 147
 
4.1%
Other values (2) 207
 
5.8%
Hangul
ValueCountFrequency (%)
이 243
16.7%
데 243
16.7%
계 243
16.7%
집 243
16.7%
미 243
16.7%
터 243
16.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
경기도 동두천시청 농업축산위생과
504 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 농업축산위생과
2nd row경기도 동두천시청 농업축산위생과
3rd row경기도 동두천시청 농업축산위생과
4th row경기도 동두천시청 농업축산위생과
5th row경기도 동두천시청 농업축산위생과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 농업축산위생과 504
100.0%

Length

2023-12-12T17:27:39.754340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:27:39.865439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 504
33.3%
동두천시청 504
33.3%
농업축산위생과 504
33.3%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
031-860-2233
315 
031-860-2234
156 
031-860-2459
33 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2459
2nd row031-860-2459
3rd row031-860-2459
4th row031-860-2459
5th row031-860-2459

Common Values

ValueCountFrequency (%)
031-860-2233 315
62.5%
031-860-2234 156
31.0%
031-860-2459 33
 
6.5%

Length

2023-12-12T17:27:40.012035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:27:40.133393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2233 315
62.5%
031-860-2234 156
31.0%
031-860-2459 33
 
6.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-06-19
504 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-19
2nd row2023-06-19
3rd row2023-06-19
4th row2023-06-19
5th row2023-06-19

Common Values

ValueCountFrequency (%)
2023-06-19 504
100.0%

Length

2023-12-12T17:27:40.273950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:27:40.379061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-19 504
100.0%

Interactions

2023-12-12T17:27:33.253571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:32.512980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:32.877337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:33.348113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:32.620411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:33.013083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:33.454025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:32.725602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:27:33.128613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:27:40.448087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명위도경도영업장면적관리기관전화번호
업종명1.0000.3370.5150.3590.989
위도0.3371.0000.4780.0000.389
경도0.5150.4781.0000.0000.457
영업장면적0.3590.0000.0001.0000.000
관리기관전화번호0.9890.3890.4570.0001.000
2023-12-12T17:27:40.566382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명관리기관전화번호
업종명1.0000.984
관리기관전화번호0.9841.000
2023-12-12T17:27:40.672875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도영업장면적업종명관리기관전화번호
위도1.0000.0080.0160.1460.252
경도0.0081.0000.0050.2420.307
영업장면적0.0160.0051.0000.2150.000
업종명0.1460.2420.2151.0000.984
관리기관전화번호0.2520.3070.0000.9841.000

Missing values

2023-12-12T17:27:33.585835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:27:33.745908image/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.
2023-12-12T17:27:33.858086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명인허가일자업소명소재지(도로명)소재지(지번)위도경도영업장면적소재지전화관리기관명관리기관전화번호데이터기준일자
0식품제조가공업1974-12-30한신식품경기도 동두천시 봉동로 255-46 (하봉암동)경기도 동두천시 하봉암동 39637.96197127.0546930.0031-865-3309경기도 동두천시청 농업축산위생과031-860-24592023-06-19
1식품제조가공업1985-02-07가나식품공업사경기도 동두천시 쇠목길4번길 42 (광암동)경기도 동두천시 광암동 214-237.895088127.090184276.48031-867-3501경기도 동두천시청 농업축산위생과031-860-24592023-06-19
2식품제조가공업1989-12-06동신식품경기도 동두천시 삼육사로692번길 78-21 (상패동)경기도 동두천시 상패동 648-237.906352127.027216173.88031-862-0104경기도 동두천시청 농업축산위생과031-860-24592023-06-19
3식품제조가공업1993-08-27(유)금토일종합식품 농업회사법인경기도 동두천시 신천로366번길 37 (상봉암동)경기도 동두천시 상봉암동 213-1237.945356127.053773075.09031-865-3114경기도 동두천시청 농업축산위생과031-860-24592023-06-19
4식품제조가공업1995-03-07(주)굿모닝서울경기도 동두천시 평화로2862번길 35 (상봉암동)경기도 동두천시 상봉암동 147-1637.941877127.0610525700.88031-868-8881경기도 동두천시청 농업축산위생과031-860-24592023-06-19
5식품제조가공업1995-08-29창조식품경기도 동두천시 삼육사로692번길 184-7 (상패동)경기도 동두천시 상패동 681-137.902818127.0248271316.28031-868-5423경기도 동두천시청 농업축산위생과031-860-24592023-06-19
6식품제조가공업1997-10-02한양제과주식회사경기도 동두천시 평화로2862번길 15 (상봉암동)경기도 동두천시 상봉암동 147-737.942908127.0594981799.24031-868-5200경기도 동두천시청 농업축산위생과031-860-24592023-06-19
7식품제조가공업1998-10-30농업회사법인 (주)명도식품경기도 동두천시 평화로 2986-12 (상봉암동)경기도 동두천시 상봉암동 72-937.953114127.0629421573.84031 866-2434경기도 동두천시청 농업축산위생과031-860-24592023-06-19
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