Overview

Dataset statistics

Number of variables12
Number of observations61
Missing cells63
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory100.2 B

Variable types

Numeric2
Categorical1
DateTime2
Text7

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 34 (55.7%) missing valuesMissing
소재지(지번) has 10 (16.4%) missing valuesMissing
소재지전화 has 19 (31.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:58:15.154295
Analysis finished2023-12-10 23:58:17.011658
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:58:17.083197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T08:58:17.246563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 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%
Other values (51) 51
83.6%
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 (%)
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%
53 1
1.6%
52 1
1.6%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
식품제조가공업
61 

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 61
100.0%

Length

2023-12-11T08:58:17.392496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:58:17.513073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 61
100.0%

인허가일자
Date

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1992-12-29 00:00:00
Maximum2021-05-28 00:00:00
2023-12-11T08:58:17.638564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:17.836404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:58:18.076279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.8032787
Min length3

Characters and Unicode

Total characters537
Distinct characters158
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

Unique59 ?
Unique (%)96.7%

Sample

1st row진산물산
2nd row남산어머니도시락
3rd row농업회사법인(주)의령조청한과
4th row자굴산식품
5th row주식회사 피피이씨의령
ValueCountFrequency (%)
주식회사 7
 
8.2%
농업회사법인 6
 
7.1%
연호전통식품 2
 
2.4%
다향연 2
 
2.4%
의령망개떡 2
 
2.4%
영농조합법인 2
 
2.4%
청아수석곤충나라 1
 
1.2%
청미푸드 1
 
1.2%
경우(주 1
 
1.2%
농업회사법인동호유통주식회사 1
 
1.2%
Other values (60) 60
70.6%
2023-12-11T08:58:18.511952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 27
 
5.0%
24
 
4.5%
인 22
 
4.1%
사 21
 
3.9%
법 21
 
3.9%
회 20
 
3.7%
식 20
 
3.7%
주 19
 
3.5%
의 18
 
3.4%
령 17
 
3.2%
Other values (148) 328
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
92.0%
Space Separator 24
 
4.5%
Close Punctuation 9
 
1.7%
Open Punctuation 9
 
1.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 27
 
5.5%
인 22
 
4.5%
사 21
 
4.3%
법 21
 
4.3%
회 20
 
4.0%
식 20
 
4.0%
주 19
 
3.8%
의 18
 
3.6%
령 17
 
3.4%
영 13
 
2.6%
Other values (144) 296
59.9%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
92.0%
Common 43
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 27
 
5.5%
인 22
 
4.5%
사 21
 
4.3%
법 21
 
4.3%
회 20
 
4.0%
식 20
 
4.0%
주 19
 
3.8%
의 18
 
3.6%
령 17
 
3.4%
영 13
 
2.6%
Other values (144) 296
59.9%
Common
ValueCountFrequency (%)
24
55.8%
) 9
 
20.9%
( 9
 
20.9%
. 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
92.0%
ASCII 43
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 27
 
5.5%
인 22
 
4.5%
사 21
 
4.3%
법 21
 
4.3%
회 20
 
4.0%
식 20
 
4.0%
주 19
 
3.8%
의 18
 
3.6%
령 17
 
3.4%
영 13
 
2.6%
Other values (144) 296
59.9%
ASCII
ValueCountFrequency (%)
24
55.8%
) 9
 
20.9%
( 9
 
20.9%
. 1
 
2.3%

영업자
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:58:18.822921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.5901639
Min length3

Characters and Unicode

Total characters219
Distinct characters104
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

Unique57 ?
Unique (%)93.4%

Sample

1st row강석기
2nd row김갑선
3rd row최혜석
4th row전홍수
5th row이정언
ValueCountFrequency (%)
외 3
 
4.4%
1명 3
 
4.4%
왕군자 2
 
2.9%
성삼섭 2
 
2.9%
김동혁 1
 
1.5%
이수진 1
 
1.5%
설영수 1
 
1.5%
이우직 1
 
1.5%
문호일 1
 
1.5%
정진희 1
 
1.5%
Other values (52) 52
76.5%
2023-12-11T08:58:19.186996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
4.6%
이 9
 
4.1%
7
 
3.2%
성 6
 
2.7%
정 6
 
2.7%
영 6
 
2.7%
전 5
 
2.3%
강 5
 
2.3%
수 5
 
2.3%
군 4
 
1.8%
Other values (94) 156
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
95.4%
Space Separator 7
 
3.2%
Decimal Number 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
4.8%
이 9
 
4.3%
성 6
 
2.9%
정 6
 
2.9%
영 6
 
2.9%
전 5
 
2.4%
강 5
 
2.4%
수 5
 
2.4%
군 4
 
1.9%
경 4
 
1.9%
Other values (92) 149
71.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
95.4%
Common 10
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
4.8%
이 9
 
4.3%
성 6
 
2.9%
정 6
 
2.9%
영 6
 
2.9%
전 5
 
2.4%
강 5
 
2.4%
수 5
 
2.4%
군 4
 
1.9%
경 4
 
1.9%
Other values (92) 149
71.3%
Common
ValueCountFrequency (%)
7
70.0%
1 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
95.4%
ASCII 10
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
4.8%
이 9
 
4.3%
성 6
 
2.9%
정 6
 
2.9%
영 6
 
2.9%
전 5
 
2.4%
강 5
 
2.4%
수 5
 
2.4%
군 4
 
1.9%
경 4
 
1.9%
Other values (92) 149
71.3%
ASCII
ValueCountFrequency (%)
7
70.0%
1 3
30.0%

법인명
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing34
Missing (%)55.7%
Memory size620.0 B
2023-12-11T08:58:19.386596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.740741
Min length6

Characters and Unicode

Total characters317
Distinct characters95
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

Unique27 ?
Unique (%)100.0%

Sample

1st row농업회사법인 주식회사 의령조청한과
2nd row주식회사 피피이씨의령
3rd row농업회사법인 다향연 티 주식회사
4th row부림영농조합법인
5th row농업회사법인 부림떡전문점(주)
ValueCountFrequency (%)
주식회사 9
 
19.6%
농업회사법인 5
 
10.9%
경주빵 1
 
2.2%
농업회사법인동호유통주식회사 1
 
2.2%
의령메밀영농조합법인 1
 
2.2%
의령생활건강(주 1
 
2.2%
설담 1
 
2.2%
나루마을영농조합법인 1
 
2.2%
다인 1
 
2.2%
쌀찧는방앗간 1
 
2.2%
Other values (24) 24
52.2%
2023-12-11T08:58:19.740962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 24
 
7.6%
회 23
 
7.3%
농 20
 
6.3%
인 20
 
6.3%
법 19
 
6.0%
19
 
6.0%
주 17
 
5.4%
식 15
 
4.7%
조 11
 
3.5%
영 10
 
3.2%
Other values (85) 139
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
92.1%
Space Separator 19
 
6.0%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 24
 
8.2%
회 23
 
7.9%
농 20
 
6.8%
인 20
 
6.8%
법 19
 
6.5%
주 17
 
5.8%
식 15
 
5.1%
조 11
 
3.8%
영 10
 
3.4%
업 10
 
3.4%
Other values (82) 123
42.1%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
92.1%
Common 25
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 24
 
8.2%
회 23
 
7.9%
농 20
 
6.8%
인 20
 
6.8%
법 19
 
6.5%
주 17
 
5.8%
식 15
 
5.1%
조 11
 
3.8%
영 10
 
3.4%
업 10
 
3.4%
Other values (82) 123
42.1%
Common
ValueCountFrequency (%)
19
76.0%
( 3
 
12.0%
) 3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
92.1%
ASCII 25
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 24
 
8.2%
회 23
 
7.9%
농 20
 
6.8%
인 20
 
6.8%
법 19
 
6.5%
주 17
 
5.8%
식 15
 
5.1%
조 11
 
3.8%
영 10
 
3.4%
업 10
 
3.4%
Other values (82) 123
42.1%
ASCII
ValueCountFrequency (%)
19
76.0%
( 3
 
12.0%
) 3
 
12.0%

소재지(도로명)
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:58:20.030823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.491803
Min length18

Characters and Unicode

Total characters1311
Distinct characters80
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

Unique59 ?
Unique (%)96.7%

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 61
19.9%
의령군 61
19.9%
의령읍 12
 
3.9%
부림면 11
 
3.6%
화정면 7
 
2.3%
가례면 6
 
2.0%
칠곡면 6
 
2.0%
정곡면 5
 
1.6%
홍의로 5
 
1.6%
봉수면 4
 
1.3%
Other values (108) 129
42.0%
2023-12-11T08:58:20.489097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
18.8%
의 91
 
6.9%
령 74
 
5.6%
남 64
 
4.9%
경 61
 
4.7%
상 61
 
4.7%
도 61
 
4.7%
군 61
 
4.7%
로 55
 
4.2%
면 49
 
3.7%
Other values (70) 488
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 826
63.0%
Space Separator 246
 
18.8%
Decimal Number 212
 
16.2%
Dash Punctuation 25
 
1.9%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 91
11.0%
령 74
 
9.0%
남 64
 
7.7%
경 61
 
7.4%
상 61
 
7.4%
도 61
 
7.4%
군 61
 
7.4%
로 55
 
6.7%
면 49
 
5.9%
길 24
 
2.9%
Other values (57) 225
27.2%
Decimal Number
ValueCountFrequency (%)
1 36
17.0%
2 30
14.2%
0 21
9.9%
6 21
9.9%
8 20
9.4%
4 19
9.0%
9 18
8.5%
3 18
8.5%
5 18
8.5%
7 11
 
5.2%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 826
63.0%
Common 485
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 91
11.0%
령 74
 
9.0%
남 64
 
7.7%
경 61
 
7.4%
상 61
 
7.4%
도 61
 
7.4%
군 61
 
7.4%
로 55
 
6.7%
면 49
 
5.9%
길 24
 
2.9%
Other values (57) 225
27.2%
Common
ValueCountFrequency (%)
246
50.7%
1 36
 
7.4%
2 30
 
6.2%
- 25
 
5.2%
0 21
 
4.3%
6 21
 
4.3%
8 20
 
4.1%
4 19
 
3.9%
9 18
 
3.7%
3 18
 
3.7%
Other values (3) 31
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 826
63.0%
ASCII 485
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
50.7%
1 36
 
7.4%
2 30
 
6.2%
- 25
 
5.2%
0 21
 
4.3%
6 21
 
4.3%
8 20
 
4.1%
4 19
 
3.9%
9 18
 
3.7%
3 18
 
3.7%
Other values (3) 31
 
6.4%
Hangul
ValueCountFrequency (%)
의 91
11.0%
령 74
 
9.0%
남 64
 
7.7%
경 61
 
7.4%
상 61
 
7.4%
도 61
 
7.4%
군 61
 
7.4%
로 55
 
6.7%
면 49
 
5.9%
길 24
 
2.9%
Other values (57) 225
27.2%

소재지(지번)
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing10
Missing (%)16.4%
Memory size620.0 B
2023-12-11T08:58:20.796830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length22.960784
Min length20

Characters and Unicode

Total characters1171
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

Unique49 ?
Unique (%)96.1%

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 51
19.7%
의령군 51
19.7%
부림면 11
 
4.2%
의령읍 10
 
3.9%
화정면 7
 
2.7%
칠곡면 5
 
1.9%
정곡면 5
 
1.9%
상정리 4
 
1.5%
가례면 4
 
1.5%
감암리 4
 
1.5%
Other values (93) 107
41.3%
2023-12-11T08:58:21.265950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
22.1%
의 63
 
5.4%
령 62
 
5.3%
상 59
 
5.0%
남 52
 
4.4%
군 51
 
4.4%
리 51
 
4.4%
경 51
 
4.4%
도 51
 
4.4%
1 48
 
4.1%
Other values (69) 424
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 675
57.6%
Space Separator 259
 
22.1%
Decimal Number 200
 
17.1%
Dash Punctuation 37
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 63
 
9.3%
령 62
 
9.2%
상 59
 
8.7%
남 52
 
7.7%
군 51
 
7.6%
리 51
 
7.6%
경 51
 
7.6%
도 51
 
7.6%
면 41
 
6.1%
정 20
 
3.0%
Other values (57) 174
25.8%
Decimal Number
ValueCountFrequency (%)
1 48
24.0%
5 30
15.0%
3 25
12.5%
4 21
10.5%
9 17
 
8.5%
2 16
 
8.0%
6 13
 
6.5%
0 11
 
5.5%
7 10
 
5.0%
8 9
 
4.5%
Space Separator
ValueCountFrequency (%)
259
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 675
57.6%
Common 496
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 63
 
9.3%
령 62
 
9.2%
상 59
 
8.7%
남 52
 
7.7%
군 51
 
7.6%
리 51
 
7.6%
경 51
 
7.6%
도 51
 
7.6%
면 41
 
6.1%
정 20
 
3.0%
Other values (57) 174
25.8%
Common
ValueCountFrequency (%)
259
52.2%
1 48
 
9.7%
- 37
 
7.5%
5 30
 
6.0%
3 25
 
5.0%
4 21
 
4.2%
9 17
 
3.4%
2 16
 
3.2%
6 13
 
2.6%
0 11
 
2.2%
Other values (2) 19
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 675
57.6%
ASCII 496
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
52.2%
1 48
 
9.7%
- 37
 
7.5%
5 30
 
6.0%
3 25
 
5.0%
4 21
 
4.2%
9 17
 
3.4%
2 16
 
3.2%
6 13
 
2.6%
0 11
 
2.2%
Other values (2) 19
 
3.8%
Hangul
ValueCountFrequency (%)
의 63
 
9.3%
령 62
 
9.2%
상 59
 
8.7%
남 52
 
7.7%
군 51
 
7.6%
리 51
 
7.6%
경 51
 
7.6%
도 51
 
7.6%
면 41
 
6.1%
정 20
 
3.0%
Other values (57) 174
25.8%

영업장면적
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:58:21.558179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.6885246
Min length1

Characters and Unicode

Total characters286
Distinct characters12
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

Unique59 ?
Unique (%)96.7%

Sample

1st row992.73
2nd row42.2
3rd row918.64
4th row119.41
5th row1,534.26
ValueCountFrequency (%)
180 2
 
3.3%
992.73 1
 
1.6%
58.27 1
 
1.6%
82.8 1
 
1.6%
428.19 1
 
1.6%
48.32 1
 
1.6%
1,008.15 1
 
1.6%
26.32 1
 
1.6%
1,039.29 1
 
1.6%
55.2 1
 
1.6%
Other values (50) 50
82.0%
2023-12-11T08:58:22.356242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 43
15.0%
2 38
13.3%
1 35
12.2%
9 27
9.4%
5 27
9.4%
8 25
8.7%
4 19
6.6%
7 18
6.3%
3 17
 
5.9%
0 16
 
5.6%
Other values (2) 21
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 237
82.9%
Other Punctuation 49
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 38
16.0%
1 35
14.8%
9 27
11.4%
5 27
11.4%
8 25
10.5%
4 19
8.0%
7 18
7.6%
3 17
7.2%
0 16
6.8%
6 15
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 43
87.8%
, 6
 
12.2%

Most occurring scripts

ValueCountFrequency (%)
Common 286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 43
15.0%
2 38
13.3%
1 35
12.2%
9 27
9.4%
5 27
9.4%
8 25
8.7%
4 19
6.6%
7 18
6.3%
3 17
 
5.9%
0 16
 
5.6%
Other values (2) 21
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 43
15.0%
2 38
13.3%
1 35
12.2%
9 27
9.4%
5 27
9.4%
8 25
8.7%
4 19
6.6%
7 18
6.3%
3 17
 
5.9%
0 16
 
5.6%
Other values (2) 21
7.3%

소재지전화
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing19
Missing (%)31.1%
Memory size620.0 B
2023-12-11T08:58:22.594769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02381
Min length12

Characters and Unicode

Total characters505
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%
055-573-7144 1
 
2.4%
055-574-6239 1
 
2.4%
055-572-3210 1
 
2.4%
055-572-0010 1
 
2.4%
053-611-6411 1
 
2.4%
070-7822-0817 1
 
2.4%
055-572-5010 1
 
2.4%
Other values (31) 31
73.8%
2023-12-11T08:58:22.938945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 139
27.5%
- 84
16.6%
0 74
14.7%
7 56
11.1%
3 32
 
6.3%
2 31
 
6.1%
1 29
 
5.7%
4 24
 
4.8%
6 13
 
2.6%
8 12
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 421
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 139
33.0%
0 74
17.6%
7 56
13.3%
3 32
 
7.6%
2 31
 
7.4%
1 29
 
6.9%
4 24
 
5.7%
6 13
 
3.1%
8 12
 
2.9%
9 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 139
27.5%
- 84
16.6%
0 74
14.7%
7 56
11.1%
3 32
 
6.3%
2 31
 
6.1%
1 29
 
5.7%
4 24
 
4.8%
6 13
 
2.6%
8 12
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 139
27.5%
- 84
16.6%
0 74
14.7%
7 56
11.1%
3 32
 
6.3%
2 31
 
6.1%
1 29
 
5.7%
4 24
 
4.8%
6 13
 
2.6%
8 12
 
2.4%

우편번호(도로명)
Real number (ℝ)

Distinct34
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52129.951
Minimum52100
Maximum52160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:58:23.073640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52100
5-th percentile52103
Q152111
median52133
Q352145
95-th percentile52158
Maximum52160
Range60
Interquartile range (IQR)34

Descriptive statistics

Standard deviation18.79222
Coefficient of variation (CV)0.00036048797
Kurtosis-1.2134241
Mean52129.951
Median Absolute Deviation (MAD)18
Skewness0.086083151
Sum3179927
Variance353.14754
MonotonicityNot monotonic
2023-12-11T08:58:23.236337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
52134 6
 
9.8%
52107 6
 
9.8%
52133 5
 
8.2%
52157 4
 
6.6%
52158 3
 
4.9%
52160 2
 
3.3%
52128 2
 
3.3%
52123 2
 
3.3%
52149 2
 
3.3%
52108 2
 
3.3%
Other values (24) 27
44.3%
ValueCountFrequency (%)
52100 1
 
1.6%
52102 1
 
1.6%
52103 2
 
3.3%
52106 2
 
3.3%
52107 6
9.8%
52108 2
 
3.3%
52109 1
 
1.6%
52111 2
 
3.3%
52113 1
 
1.6%
52117 1
 
1.6%
ValueCountFrequency (%)
52160 2
3.3%
52158 3
4.9%
52157 4
6.6%
52156 1
 
1.6%
52155 1
 
1.6%
52153 1
 
1.6%
52151 1
 
1.6%
52149 2
3.3%
52145 1
 
1.6%
52140 1
 
1.6%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2021-06-08 00:00:00
Maximum2021-06-08 00:00:00
2023-12-11T08:58:23.350855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:23.440805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:58:16.353994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:16.184864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:16.439705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:16.267864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:58:23.516661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가일자업소명영업자법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)
연번1.0001.0000.9450.8581.0000.9450.8970.9450.8360.522
인허가일자1.0001.0000.9980.9921.0000.9981.0000.9981.0000.955
업소명0.9450.9981.0001.0001.0000.9990.9980.9981.0001.000
영업자0.8580.9921.0001.0001.0000.9960.9940.9921.0000.990
법인명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)0.9450.9980.9990.9961.0001.0001.0000.9981.0001.000
소재지(지번)0.8971.0000.9980.9941.0001.0001.0001.0001.0001.000
영업장면적0.9450.9980.9980.9921.0000.9981.0001.0000.9950.794
소재지전화0.8361.0001.0001.0001.0001.0001.0000.9951.0001.000
우편번호(도로명)0.5220.9551.0000.9901.0001.0001.0000.7941.0001.000
2023-12-11T08:58:23.645227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호(도로명)
연번1.000-0.070
우편번호(도로명)-0.0701.000

Missing values

2023-12-11T08:58:16.587782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:58:16.803478image/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.
2023-12-11T08:58:16.954609image/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 126992.73055-573-7733521572021-06-08
12식품제조가공업1993-12-28남산어머니도시락김갑선<NA>경상남도 의령군 의령읍 의병로 263-13경상남도 의령군 의령읍 동동리 959-5 3통4반42.2055-572-8119521452021-06-08
23식품제조가공업1994-01-08농업회사법인(주)의령조청한과최혜석농업회사법인 주식회사 의령조청한과경상남도 의령군 칠곡면 자굴산로 137경상남도 의령군 칠곡면 내조리 446-2918.64055-573-6565521342021-06-08
34식품제조가공업1994-06-03자굴산식품전홍수<NA>경상남도 의령군 칠곡면 자굴산로 93경상남도 의령군 칠곡면 외조리 390-5119.41055-573-0440521342021-06-08
45식품제조가공업1995-02-11주식회사 피피이씨의령이정언주식회사 피피이씨의령경상남도 의령군 부림면 한지20길 40-21경상남도 의령군 부림면 신반리 811,534.26055-574-4711521062021-06-08
56식품제조가공업1995-01-17의령토속식품전연수<NA>경상남도 의령군 칠곡면 산남길 55경상남도 의령군 칠곡면 산남리 56377.21055-572-3718521342021-06-08
67식품제조가공업1999-11-09농업회사법인 다향연 티 주식회사왕군자농업회사법인 다향연 티 주식회사경상남도 의령군 칠곡면 자굴산로 161경상남도 의령군 칠곡면 내조리 319129.6055-573-0278521342021-06-08
78식품제조가공업2004-06-29청원토종오가피농원권두상<NA>경상남도 의령군 부림면 대한로 1669-1경상남도 의령군 부림면 신반리 720-126055-574-7623521032021-06-08
89식품제조가공업2008-01-08삼동도토리가공 영농조합전동옥<NA>경상남도 의령군 봉수면 대한로 1429-10경상남도 의령군 봉수면 삼가리 385-999.06<NA>521022021-06-08
910식품제조가공업2008-01-18뿔당골식품서현숙<NA>경상남도 의령군 칠곡면 한티로5길 44-8경상남도 의령군 칠곡면 산북리 595120055-573-0435521342021-06-08
연번업종명인허가일자업소명영업자법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)기준일자
5152식품제조가공업2018-05-29주식회사청미전창수주식회사청미경상남도 의령군 의령읍 수암로 96경상남도 의령군 의령읍 하리 6591,381055-572-0050521582021-06-08
5253식품제조가공업2018-10-25한과드림성의정<NA>경상남도 의령군 낙서면 낙동강로 1095경상남도 의령군 낙서면 내제리 8575<NA>521082021-06-08
5354식품제조가공업2019-03-05스털젼 푸드양영배<NA>경상남도 의령군 의령읍 의병로20길 52, 2층경상남도 의령군 의령읍 중동리 423-29 별궁숯불갈비63.52055-572-6060521492021-06-08
5455식품제조가공업2019-03-12천혜식품김동혁<NA>경상남도 의령군 부림면 천혜로 497-2경상남도 의령군 부림면 권혜리 26035<NA>521002021-06-08
5556식품제조가공업2019-07-26농업회사법인 주식회사 논두렁안대용농업회사법인주식회사 논두렁경상남도 의령군 화정면 석천로 80경상남도 의령군 화정면 상정리 311-1364055-573-5778521572021-06-08
5657식품제조가공업2019-10-08의령착한농장설영수<NA>경상남도 의령군 유곡면 청정로 2409경상남도 의령군 유곡면 덕천리 435-1547<NA>521132021-06-08
5758식품제조가공업2020-01-29연호전통식품성삼섭<NA>경상남도 의령군 부림면 미타로1길 32-1경상남도 의령군 부림면 감암리 1147-3125055-574-9716521072021-06-08
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