Overview

Dataset statistics

Number of variables12
Number of observations63
Missing cells67
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory101.1 B

Variable types

Numeric3
Categorical1
DateTime2
Text6

Dataset

Description경상남도 의령군의 식품제조가공업소의 업종명과 인허가일자, 업소명과 영업자 성명, 법인명, 소재지의 주소와 전화번호 등을 제공하고 있습니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15024795

Alerts

업종명 has constant value ""Constant
기준일자 has constant value ""Constant
법인명 has 35 (55.6%) missing valuesMissing
소재지(지번) has 11 (17.5%) missing valuesMissing
소재지전화 has 21 (33.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:58:24.828940
Analysis finished2023-12-10 23:58:26.981857
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-11T08:58:27.074233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-11T08:58:27.224986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
식품제조가공업
63 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 63
100.0%

Length

2023-12-11T08:58:27.367361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:58:27.477701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 63
100.0%

인허가일자
Date

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1992-12-29 00:00:00
Maximum2020-04-09 00:00:00
2023-12-11T08:58:27.619085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:27.761856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:58:28.020975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.8888889
Min length3

Characters and Unicode

Total characters560
Distinct characters153
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row진산물산
2nd row남산어머니도시락
3rd row농업회사법인(주)의령조청한과
4th row자굴산식품
5th row주식회사 피피이씨의령
ValueCountFrequency (%)
주식회사 7
 
8.0%
농업회사법인 6
 
6.9%
연호전통식품 2
 
2.3%
다향연 2
 
2.3%
의령망개떡 2
 
2.3%
부농 1
 
1.1%
경우(주 1
 
1.1%
의령메밀영농조합법인 1
 
1.1%
자연애보감 1
 
1.1%
한송라이스(주 1
 
1.1%
Other values (63) 63
72.4%
2023-12-11T08:58:28.520619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 29
 
5.2%
24
 
4.3%
사 23
 
4.1%
회 23
 
4.1%
인 23
 
4.1%
법 22
 
3.9%
주 21
 
3.8%
식 21
 
3.8%
의 17
 
3.0%
령 16
 
2.9%
Other values (143) 341
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
92.0%
Space Separator 24
 
4.3%
Open Punctuation 10
 
1.8%
Close Punctuation 10
 
1.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 29
 
5.6%
사 23
 
4.5%
회 23
 
4.5%
인 23
 
4.5%
법 22
 
4.3%
주 21
 
4.1%
식 21
 
4.1%
의 17
 
3.3%
령 16
 
3.1%
업 13
 
2.5%
Other values (139) 307
59.6%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
92.0%
Common 45
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 29
 
5.6%
사 23
 
4.5%
회 23
 
4.5%
인 23
 
4.5%
법 22
 
4.3%
주 21
 
4.1%
식 21
 
4.1%
의 17
 
3.3%
령 16
 
3.1%
업 13
 
2.5%
Other values (139) 307
59.6%
Common
ValueCountFrequency (%)
24
53.3%
( 10
22.2%
) 10
22.2%
. 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
92.0%
ASCII 45
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 29
 
5.6%
사 23
 
4.5%
회 23
 
4.5%
인 23
 
4.5%
법 22
 
4.3%
주 21
 
4.1%
식 21
 
4.1%
의 17
 
3.3%
령 16
 
3.1%
업 13
 
2.5%
Other values (139) 307
59.6%
ASCII
ValueCountFrequency (%)
24
53.3%
( 10
22.2%
) 10
22.2%
. 1
 
2.2%

영업자
Text

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:58:28.828329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.3650794
Min length3

Characters and Unicode

Total characters212
Distinct characters102
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)93.7%

Sample

1st row강석기
2nd row김갑선
3rd row김현의
4th row전홍수
5th row이상부
ValueCountFrequency (%)
1명 3
 
4.3%
외 3
 
4.3%
성삼섭 2
 
2.9%
왕군자 2
 
2.9%
송현구 1
 
1.4%
임우성 1
 
1.4%
이택희 1
 
1.4%
정진희 1
 
1.4%
제미화 1
 
1.4%
백상현 1
 
1.4%
Other values (53) 53
76.8%
2023-12-11T08:58:29.315038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
5.2%
이 8
 
3.8%
성 7
 
3.3%
6
 
2.8%
현 5
 
2.4%
영 5
 
2.4%
수 5
 
2.4%
강 5
 
2.4%
전 5
 
2.4%
경 4
 
1.9%
Other values (92) 151
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
95.8%
Space Separator 6
 
2.8%
Decimal Number 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
5.4%
이 8
 
3.9%
성 7
 
3.4%
현 5
 
2.5%
영 5
 
2.5%
수 5
 
2.5%
강 5
 
2.5%
전 5
 
2.5%
경 4
 
2.0%
정 4
 
2.0%
Other values (90) 144
70.9%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203
95.8%
Common 9
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
5.4%
이 8
 
3.9%
성 7
 
3.4%
현 5
 
2.5%
영 5
 
2.5%
수 5
 
2.5%
강 5
 
2.5%
전 5
 
2.5%
경 4
 
2.0%
정 4
 
2.0%
Other values (90) 144
70.9%
Common
ValueCountFrequency (%)
6
66.7%
1 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
95.8%
ASCII 9
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
5.4%
이 8
 
3.9%
성 7
 
3.4%
현 5
 
2.5%
영 5
 
2.5%
수 5
 
2.5%
강 5
 
2.5%
전 5
 
2.5%
경 4
 
2.0%
정 4
 
2.0%
Other values (90) 144
70.9%
ASCII
ValueCountFrequency (%)
6
66.7%
1 3
33.3%

법인명
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing35
Missing (%)55.6%
Memory size636.0 B
2023-12-11T08:58:29.539877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13.5
Mean length11.428571
Min length6

Characters and Unicode

Total characters320
Distinct characters93
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

Unique28 ?
Unique (%)100.0%

Sample

1st row주식회사 피피이씨의령
2nd row농업회사법인 다향연 티 주식회사
3rd row부림영농조합법인
4th row농업회사법인 부림떡전문점(주)
5th row경남제약 주식회사
ValueCountFrequency (%)
주식회사 8
 
18.2%
농업회사법인 3
 
6.8%
농업회사법인유한회사 1
 
2.3%
주)더오감 1
 
2.3%
설담 1
 
2.3%
나루마을영농조합법인 1
 
2.3%
다인 1
 
2.3%
경주빵 1
 
2.3%
쌀찧는방앗간 1
 
2.3%
너른떡영농조합법인 1
 
2.3%
Other values (25) 25
56.8%
2023-12-11T08:58:29.933517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 24
 
7.5%
사 24
 
7.5%
농 21
 
6.6%
인 20
 
6.2%
법 19
 
5.9%
주 18
 
5.6%
16
 
5.0%
식 15
 
4.7%
업 10
 
3.1%
조 10
 
3.1%
Other values (83) 143
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
92.5%
Space Separator 16
 
5.0%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 24
 
8.1%
사 24
 
8.1%
농 21
 
7.1%
인 20
 
6.8%
법 19
 
6.4%
주 18
 
6.1%
식 15
 
5.1%
업 10
 
3.4%
조 10
 
3.4%
합 10
 
3.4%
Other values (80) 125
42.2%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
92.5%
Common 24
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 24
 
8.1%
사 24
 
8.1%
농 21
 
7.1%
인 20
 
6.8%
법 19
 
6.4%
주 18
 
6.1%
식 15
 
5.1%
업 10
 
3.4%
조 10
 
3.4%
합 10
 
3.4%
Other values (80) 125
42.2%
Common
ValueCountFrequency (%)
16
66.7%
( 4
 
16.7%
) 4
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
92.5%
ASCII 24
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 24
 
8.1%
사 24
 
8.1%
농 21
 
7.1%
인 20
 
6.8%
법 19
 
6.4%
주 18
 
6.1%
식 15
 
5.1%
업 10
 
3.4%
조 10
 
3.4%
합 10
 
3.4%
Other values (80) 125
42.2%
ASCII
ValueCountFrequency (%)
16
66.7%
( 4
 
16.7%
) 4
 
16.7%

소재지(도로명)
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:58:30.305903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.444444
Min length18

Characters and Unicode

Total characters1351
Distinct characters77
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row경상남도 의령군 화정면 화정로5길 73
2nd row경상남도 의령군 의령읍 의병로 263-13
3rd row경상남도 의령군 칠곡면 자굴산로 137
4th row경상남도 의령군 칠곡면 자굴산로 93
5th row경상남도 의령군 부림면 한지20길 40-21
ValueCountFrequency (%)
경상남도 63
19.9%
의령군 63
19.9%
의령읍 13
 
4.1%
부림면 10
 
3.2%
화정면 7
 
2.2%
가례면 7
 
2.2%
정곡면 6
 
1.9%
칠곡면 6
 
1.9%
홍의로 6
 
1.9%
봉수면 4
 
1.3%
Other values (109) 132
41.6%
2023-12-11T08:58:30.825797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
18.8%
의 94
 
7.0%
령 77
 
5.7%
남 66
 
4.9%
경 63
 
4.7%
도 63
 
4.7%
군 63
 
4.7%
상 63
 
4.7%
로 58
 
4.3%
면 50
 
3.7%
Other values (67) 500
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
63.1%
Space Separator 254
 
18.8%
Decimal Number 218
 
16.1%
Dash Punctuation 25
 
1.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 94
11.0%
령 77
 
9.0%
남 66
 
7.7%
경 63
 
7.4%
도 63
 
7.4%
군 63
 
7.4%
상 63
 
7.4%
로 58
 
6.8%
면 50
 
5.9%
정 26
 
3.1%
Other values (54) 229
26.9%
Decimal Number
ValueCountFrequency (%)
1 38
17.4%
2 31
14.2%
0 21
9.6%
9 21
9.6%
3 20
9.2%
6 20
9.2%
4 19
8.7%
5 18
8.3%
8 17
7.8%
7 13
 
6.0%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
63.1%
Common 499
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 94
11.0%
령 77
 
9.0%
남 66
 
7.7%
경 63
 
7.4%
도 63
 
7.4%
군 63
 
7.4%
상 63
 
7.4%
로 58
 
6.8%
면 50
 
5.9%
정 26
 
3.1%
Other values (54) 229
26.9%
Common
ValueCountFrequency (%)
254
50.9%
1 38
 
7.6%
2 31
 
6.2%
- 25
 
5.0%
0 21
 
4.2%
9 21
 
4.2%
3 20
 
4.0%
6 20
 
4.0%
4 19
 
3.8%
5 18
 
3.6%
Other values (3) 32
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
63.1%
ASCII 499
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
50.9%
1 38
 
7.6%
2 31
 
6.2%
- 25
 
5.0%
0 21
 
4.2%
9 21
 
4.2%
3 20
 
4.0%
6 20
 
4.0%
4 19
 
3.8%
5 18
 
3.6%
Other values (3) 32
 
6.4%
Hangul
ValueCountFrequency (%)
의 94
11.0%
령 77
 
9.0%
남 66
 
7.7%
경 63
 
7.4%
도 63
 
7.4%
군 63
 
7.4%
상 63
 
7.4%
로 58
 
6.8%
면 50
 
5.9%
정 26
 
3.1%
Other values (54) 229
26.9%

소재지(지번)
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing11
Missing (%)17.5%
Memory size636.0 B
2023-12-11T08:58:31.167477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length22.884615
Min length20

Characters and Unicode

Total characters1190
Distinct characters79
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

Unique50 ?
Unique (%)96.2%

Sample

1st row경상남도 의령군 화정면 상정리 126
2nd row경상남도 의령군 의령읍 동동리 959-5 3통4반
3rd row경상남도 의령군 칠곡면 내조리 446-2
4th row경상남도 의령군 칠곡면 외조리 390-5
5th row경상남도 의령군 부림면 신반리 81
ValueCountFrequency (%)
경상남도 52
19.7%
의령군 52
19.7%
의령읍 11
 
4.2%
부림면 10
 
3.8%
정곡면 6
 
2.3%
화정면 6
 
2.3%
칠곡면 5
 
1.9%
가례면 5
 
1.9%
감암리 4
 
1.5%
상정리 3
 
1.1%
Other values (93) 110
41.7%
2023-12-11T08:58:31.587476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
22.2%
의 65
 
5.5%
령 64
 
5.4%
상 59
 
5.0%
남 53
 
4.5%
경 52
 
4.4%
도 52
 
4.4%
군 52
 
4.4%
리 52
 
4.4%
1 44
 
3.7%
Other values (69) 433
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
57.7%
Space Separator 264
 
22.2%
Decimal Number 202
 
17.0%
Dash Punctuation 37
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 65
 
9.5%
령 64
 
9.3%
상 59
 
8.6%
남 53
 
7.7%
경 52
 
7.6%
도 52
 
7.6%
군 52
 
7.6%
리 52
 
7.6%
면 41
 
6.0%
정 19
 
2.8%
Other values (57) 178
25.9%
Decimal Number
ValueCountFrequency (%)
1 44
21.8%
3 29
14.4%
5 29
14.4%
4 21
10.4%
9 17
 
8.4%
2 17
 
8.4%
6 14
 
6.9%
0 12
 
5.9%
8 10
 
5.0%
7 9
 
4.5%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
57.7%
Common 503
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 65
 
9.5%
령 64
 
9.3%
상 59
 
8.6%
남 53
 
7.7%
경 52
 
7.6%
도 52
 
7.6%
군 52
 
7.6%
리 52
 
7.6%
면 41
 
6.0%
정 19
 
2.8%
Other values (57) 178
25.9%
Common
ValueCountFrequency (%)
264
52.5%
1 44
 
8.7%
- 37
 
7.4%
3 29
 
5.8%
5 29
 
5.8%
4 21
 
4.2%
9 17
 
3.4%
2 17
 
3.4%
6 14
 
2.8%
0 12
 
2.4%
Other values (2) 19
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
57.7%
ASCII 503
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
52.5%
1 44
 
8.7%
- 37
 
7.4%
3 29
 
5.8%
5 29
 
5.8%
4 21
 
4.2%
9 17
 
3.4%
2 17
 
3.4%
6 14
 
2.8%
0 12
 
2.4%
Other values (2) 19
 
3.8%
Hangul
ValueCountFrequency (%)
의 65
 
9.5%
령 64
 
9.3%
상 59
 
8.6%
남 53
 
7.7%
경 52
 
7.6%
도 52
 
7.6%
군 52
 
7.6%
리 52
 
7.6%
면 41
 
6.0%
정 19
 
2.8%
Other values (57) 178
25.9%

영업장면적
Real number (ℝ)

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean360.27825
Minimum8.39
Maximum6415.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-11T08:58:31.747412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.39
5-th percentile26.032
Q178.105
median120
Q3305.99
95-th percentile1036.176
Maximum6415.2
Range6406.81
Interquartile range (IQR)227.885

Descriptive statistics

Standard deviation844.64347
Coefficient of variation (CV)2.3444198
Kurtosis43.910665
Mean360.27825
Median Absolute Deviation (MAD)71.68
Skewness6.2176936
Sum22697.53
Variance713422.59
MonotonicityNot monotonic
2023-12-11T08:58:31.935567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.0 2
 
3.2%
992.73 1
 
1.6%
82.8 1
 
1.6%
48.32 1
 
1.6%
1008.15 1
 
1.6%
26.32 1
 
1.6%
1039.29 1
 
1.6%
111.66 1
 
1.6%
165.0 1
 
1.6%
55.2 1
 
1.6%
Other values (52) 52
82.5%
ValueCountFrequency (%)
8.39 1
1.6%
9.0 1
1.6%
22.1 1
1.6%
26.0 1
1.6%
26.32 1
1.6%
35.0 1
1.6%
37.5 1
1.6%
42.2 1
1.6%
48.0 1
1.6%
48.32 1
1.6%
ValueCountFrequency (%)
6415.2 1
1.6%
1534.26 1
1.6%
1381.0 1
1.6%
1039.29 1
1.6%
1008.15 1
1.6%
992.73 1
1.6%
918.64 1
1.6%
862.05 1
1.6%
595.23 1
1.6%
492.8 1
1.6%

소재지전화
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing21
Missing (%)33.3%
Memory size636.0 B
2023-12-11T08:58:32.159601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047619
Min length12

Characters and Unicode

Total characters506
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

Unique40 ?
Unique (%)95.2%

Sample

1st row055-573-7733
2nd row055-572-8119
3rd row055-573-6565
4th row055-573-0440
5th row055-574-4711
ValueCountFrequency (%)
055-574-9716 2
 
4.8%
055-572-6060 1
 
2.4%
055-573-7733 1
 
2.4%
055-574-5812 1
 
2.4%
055-574-6239 1
 
2.4%
055-572-3210 1
 
2.4%
053-611-6411 1
 
2.4%
070-7822-0817 1
 
2.4%
055-572-1866 1
 
2.4%
055-573-7144 1
 
2.4%
Other values (31) 31
73.8%
2023-12-11T08:58:32.826565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 137
27.1%
- 84
16.6%
0 72
14.2%
7 56
11.1%
3 31
 
6.1%
2 31
 
6.1%
1 29
 
5.7%
4 27
 
5.3%
6 15
 
3.0%
8 13
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 422
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 137
32.5%
0 72
17.1%
7 56
13.3%
3 31
 
7.3%
2 31
 
7.3%
1 29
 
6.9%
4 27
 
6.4%
6 15
 
3.6%
8 13
 
3.1%
9 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 137
27.1%
- 84
16.6%
0 72
14.2%
7 56
11.1%
3 31
 
6.1%
2 31
 
6.1%
1 29
 
5.7%
4 27
 
5.3%
6 15
 
3.0%
8 13
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 137
27.1%
- 84
16.6%
0 72
14.2%
7 56
11.1%
3 31
 
6.1%
2 31
 
6.1%
1 29
 
5.7%
4 27
 
5.3%
6 15
 
3.0%
8 13
 
2.6%

우편번호(도로명)
Real number (ℝ)

Distinct34
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52130.714
Minimum52100
Maximum52160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-11T08:58:32.964796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52100
5-th percentile52103.3
Q152112
median52133
Q352147
95-th percentile52158
Maximum52160
Range60
Interquartile range (IQR)35

Descriptive statistics

Standard deviation18.693132
Coefficient of variation (CV)0.00035858193
Kurtosis-1.1676821
Mean52130.714
Median Absolute Deviation (MAD)16
Skewness0.062401524
Sum3284235
Variance349.43318
MonotonicityNot monotonic
2023-12-11T08:58:33.112393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
52134 6
 
9.5%
52133 6
 
9.5%
52107 5
 
7.9%
52158 4
 
6.3%
52157 3
 
4.8%
52160 3
 
4.8%
52111 2
 
3.2%
52108 2
 
3.2%
52149 2
 
3.2%
52128 2
 
3.2%
Other values (24) 28
44.4%
ValueCountFrequency (%)
52100 1
 
1.6%
52102 1
 
1.6%
52103 2
 
3.2%
52106 2
 
3.2%
52107 5
7.9%
52108 2
 
3.2%
52109 1
 
1.6%
52111 2
 
3.2%
52113 1
 
1.6%
52117 1
 
1.6%
ValueCountFrequency (%)
52160 3
4.8%
52158 4
6.3%
52157 3
4.8%
52156 1
 
1.6%
52155 1
 
1.6%
52153 1
 
1.6%
52151 1
 
1.6%
52149 2
3.2%
52145 1
 
1.6%
52140 1
 
1.6%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2020-12-11 00:00:00
Maximum2020-12-11 00:00:00
2023-12-11T08:58:33.217904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:33.302645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:58:26.188432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:25.621346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:25.896074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:26.298772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:25.700653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:25.997938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:26.397537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:25.786556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:26.099886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:58:33.388984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가일자업소명영업자법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)
연번1.0001.0000.9390.8761.0000.9280.8740.2020.9250.432
인허가일자1.0001.0000.9980.9931.0000.9981.0001.0001.0000.954
업소명0.9390.9981.0001.0001.0000.9990.9981.0001.0001.000
영업자0.8760.9931.0001.0001.0000.9960.9941.0001.0000.996
법인명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)0.9280.9980.9990.9961.0001.0001.0001.0001.0001.000
소재지(지번)0.8741.0000.9980.9941.0001.0001.0001.0001.0001.000
영업장면적0.2021.0001.0001.0001.0001.0001.0001.0001.0000.000
소재지전화0.9251.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호(도로명)0.4320.9541.0000.9961.0001.0001.0000.0001.0001.000
2023-12-11T08:58:33.521725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장면적우편번호(도로명)
연번1.000-0.138-0.026
영업장면적-0.1381.0000.094
우편번호(도로명)-0.0260.0941.000

Missing values

2023-12-11T08:58:26.532412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:58:26.758506image/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.
2023-12-11T08:58:26.916437image/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

연번업종명인허가일자업소명영업자법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)기준일자
01식품제조가공업1992-12-29진산물산강석기<NA>경상남도 의령군 화정면 화정로5길 73경상남도 의령군 화정면 상정리 126992.73055-573-7733521572020-12-11
12식품제조가공업1993-12-28남산어머니도시락김갑선<NA>경상남도 의령군 의령읍 의병로 263-13경상남도 의령군 의령읍 동동리 959-5 3통4반42.2055-572-8119521452020-12-11
23식품제조가공업1994-01-08농업회사법인(주)의령조청한과김현의<NA>경상남도 의령군 칠곡면 자굴산로 137경상남도 의령군 칠곡면 내조리 446-2918.64055-573-6565521342020-12-11
34식품제조가공업1994-06-03자굴산식품전홍수<NA>경상남도 의령군 칠곡면 자굴산로 93경상남도 의령군 칠곡면 외조리 390-5119.41055-573-0440521342020-12-11
45식품제조가공업1995-02-11주식회사 피피이씨의령이상부주식회사 피피이씨의령경상남도 의령군 부림면 한지20길 40-21경상남도 의령군 부림면 신반리 811534.26055-574-4711521062020-12-11
56식품제조가공업1995-01-17의령토속식품전연수<NA>경상남도 의령군 칠곡면 산남길 55경상남도 의령군 칠곡면 산남리 56377.21055-572-3718521342020-12-11
67식품제조가공업1999-11-09농업회사법인 다향연 티 주식회사왕군자농업회사법인 다향연 티 주식회사경상남도 의령군 칠곡면 자굴산로 161경상남도 의령군 칠곡면 내조리 319129.6055-573-0278521342020-12-11
78식품제조가공업2004-06-29청원토종오가피농원권두상<NA>경상남도 의령군 부림면 대한로 1669-1경상남도 의령군 부림면 신반리 720-126.0055-574-6145521032020-12-11
89식품제조가공업2008-01-08삼동도토리가공 영농조합전동옥<NA>경상남도 의령군 봉수면 대한로 1429-10경상남도 의령군 봉수면 삼가리 385-999.06<NA>521022020-12-11
910식품제조가공업2008-01-18뿔당골식품서현숙<NA>경상남도 의령군 칠곡면 한티로5길 44-8경상남도 의령군 칠곡면 산북리 595120.0055-573-0435521342020-12-11
연번업종명인허가일자업소명영업자법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)기준일자
5354식품제조가공업2018-05-29주식회사청미전창수주식회사청미경상남도 의령군 의령읍 수암로 96경상남도 의령군 의령읍 하리 6591381.0055-572-0050521582020-12-11
5455식품제조가공업2018-10-25한과드림성의정<NA>경상남도 의령군 낙서면 낙동강로 1095경상남도 의령군 낙서면 내제리 8575.0<NA>521082020-12-11
5556식품제조가공업2018-10-26농업회사법인대원씨푸드주식회사임우성농업회사법인대원씨푸드주식회사경상남도 의령군 가례면 홍의로 195경상남도 의령군 가례면 운암리 826-8307.98<NA>521332020-12-11
5657식품제조가공업2019-03-05스털젼 푸드송현구 외 1명<NA>경상남도 의령군 의령읍 의병로20길 52, 2층경상남도 의령군 의령읍 중동리 423-29 별궁숯불갈비63.52055-572-6060521492020-12-11
5758식품제조가공업2019-03-12천혜식품김동혁<NA>경상남도 의령군 부림면 천혜로 497-2경상남도 의령군 부림면 권혜리 26035.0<NA>521002020-12-11
5859식품제조가공업2019-07-26농업회사법인 주식회사 논두렁안대용농업회사법인주식회사 논두렁경상남도 의령군 화정면 석천로 80경상남도 의령군 화정면 상정리 311-1364.0055-573-5778521572020-12-11
5960식품제조가공업2019-10-08의령착한농장설영수<NA>경상남도 의령군 유곡면 청정로 2409경상남도 의령군 유곡면 덕천리 435-1582.0<NA>521132020-12-11
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