Overview

Dataset statistics

Number of variables11
Number of observations55
Missing cells43
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory93.4 B

Variable types

Numeric3
Categorical1
DateTime2
Text5

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 30 (54.5%) missing valuesMissing
소재지전화 has 13 (23.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:58:34.440022
Analysis finished2023-12-10 23:58:36.279183
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T08:58:36.378994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-11T08:58:36.538362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
식품제조가공업
55 

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 55
100.0%

Length

2023-12-11T08:58:36.684219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:58:36.803218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 55
100.0%

인허가일자
Date

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1992-12-29 00:00:00
Maximum2021-05-28 00:00:00
2023-12-11T08:58:36.935546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:37.091403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T08:58:37.374984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length9.0545455
Min length3

Characters and Unicode

Total characters498
Distinct characters155
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

Unique53 ?
Unique (%)96.4%

Sample

1st row진산물산
2nd row농업회사법인(주)의령조청한과
3rd row자굴산식품
4th row주식회사 피피이씨의령
5th row의령토속식품
ValueCountFrequency (%)
주식회사 8
 
10.0%
농업회사법인 6
 
7.5%
연호전통식품 2
 
2.5%
영농조합법인 2
 
2.5%
다향연 2
 
2.5%
의령망개떡 2
 
2.5%
모시골푸드 1
 
1.2%
의령메밀영농조합법인 1
 
1.2%
자연애보감 1
 
1.2%
청미푸드 1
 
1.2%
Other values (54) 54
67.5%
2023-12-11T08:58:37.816459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
5.0%
농 24
 
4.8%
사 21
 
4.2%
회 20
 
4.0%
인 20
 
4.0%
식 19
 
3.8%
법 19
 
3.8%
주 18
 
3.6%
의 18
 
3.6%
령 17
 
3.4%
Other values (145) 297
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 456
91.6%
Space Separator 25
 
5.0%
Open Punctuation 8
 
1.6%
Close Punctuation 8
 
1.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 24
 
5.3%
사 21
 
4.6%
회 20
 
4.4%
인 20
 
4.4%
식 19
 
4.2%
법 19
 
4.2%
주 18
 
3.9%
의 18
 
3.9%
령 17
 
3.7%
업 12
 
2.6%
Other values (141) 268
58.8%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 456
91.6%
Common 42
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 24
 
5.3%
사 21
 
4.6%
회 20
 
4.4%
인 20
 
4.4%
식 19
 
4.2%
법 19
 
4.2%
주 18
 
3.9%
의 18
 
3.9%
령 17
 
3.7%
업 12
 
2.6%
Other values (141) 268
58.8%
Common
ValueCountFrequency (%)
25
59.5%
( 8
 
19.0%
) 8
 
19.0%
. 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 456
91.6%
ASCII 42
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
59.5%
( 8
 
19.0%
) 8
 
19.0%
. 1
 
2.4%
Hangul
ValueCountFrequency (%)
농 24
 
5.3%
사 21
 
4.6%
회 20
 
4.4%
인 20
 
4.4%
식 19
 
4.2%
법 19
 
4.2%
주 18
 
3.9%
의 18
 
3.9%
령 17
 
3.7%
업 12
 
2.6%
Other values (141) 268
58.8%

법인명
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing30
Missing (%)54.5%
Memory size572.0 B
2023-12-11T08:58:37.997441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.92
Min length6

Characters and Unicode

Total characters298
Distinct characters92
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

Unique25 ?
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
20.5%
농업회사법인 6
 
13.6%
주식회사풀무원기분 1
 
2.3%
논두렁 1
 
2.3%
농업회사법인주식회사 1
 
2.3%
의령황금메밀 1
 
2.3%
너른떡영농조합법인 1
 
2.3%
농업회사법인유한회사 1
 
2.3%
쌀찧는방앗간 1
 
2.3%
경주빵 1
 
2.3%
Other values (21) 21
47.7%
2023-12-11T08:58:38.377268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 24
 
8.1%
회 23
 
7.7%
농 19
 
6.4%
인 19
 
6.4%
19
 
6.4%
법 18
 
6.0%
주 16
 
5.4%
식 13
 
4.4%
업 11
 
3.7%
조 9
 
3.0%
Other values (82) 127
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
91.6%
Space Separator 19
 
6.4%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 24
 
8.8%
회 23
 
8.4%
농 19
 
7.0%
인 19
 
7.0%
법 18
 
6.6%
주 16
 
5.9%
식 13
 
4.8%
업 11
 
4.0%
조 9
 
3.3%
합 8
 
2.9%
Other values (79) 113
41.4%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
91.6%
Common 25
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 24
 
8.8%
회 23
 
8.4%
농 19
 
7.0%
인 19
 
7.0%
법 18
 
6.6%
주 16
 
5.9%
식 13
 
4.8%
업 11
 
4.0%
조 9
 
3.3%
합 8
 
2.9%
Other values (79) 113
41.4%
Common
ValueCountFrequency (%)
19
76.0%
) 3
 
12.0%
( 3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
91.6%
ASCII 25
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 24
 
8.8%
회 23
 
8.4%
농 19
 
7.0%
인 19
 
7.0%
법 18
 
6.6%
주 16
 
5.9%
식 13
 
4.8%
업 11
 
4.0%
조 9
 
3.3%
합 8
 
2.9%
Other values (79) 113
41.4%
ASCII
ValueCountFrequency (%)
19
76.0%
) 3
 
12.0%
( 3
 
12.0%

소재지(도로명)
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T08:58:38.655164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.527273
Min length18

Characters and Unicode

Total characters1184
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

Unique53 ?
Unique (%)96.4%

Sample

1st row경상남도 의령군 화정면 화정로5길 73
2nd row경상남도 의령군 칠곡면 자굴산로 137
3rd row경상남도 의령군 칠곡면 자굴산로 93
4th row경상남도 의령군 부림면 한지20길 40-21
5th row경상남도 의령군 칠곡면 산남길 55
ValueCountFrequency (%)
경상남도 55
19.9%
의령군 54
19.5%
의령읍 10
 
3.6%
부림면 9
 
3.2%
칠곡면 7
 
2.5%
가례면 6
 
2.2%
화정면 6
 
2.2%
홍의로 5
 
1.8%
정곡면 4
 
1.4%
자굴산로 3
 
1.1%
Other values (102) 118
42.6%
2023-12-11T08:58:39.137170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
222
18.8%
의 80
 
6.8%
령 66
 
5.6%
남 58
 
4.9%
경 55
 
4.6%
군 55
 
4.6%
상 55
 
4.6%
도 55
 
4.6%
로 50
 
4.2%
면 44
 
3.7%
Other values (70) 444
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
62.9%
Space Separator 222
 
18.8%
Decimal Number 191
 
16.1%
Dash Punctuation 24
 
2.0%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 80
 
10.7%
령 66
 
8.9%
남 58
 
7.8%
경 55
 
7.4%
군 55
 
7.4%
상 55
 
7.4%
도 55
 
7.4%
로 50
 
6.7%
면 44
 
5.9%
길 21
 
2.8%
Other values (57) 206
27.7%
Decimal Number
ValueCountFrequency (%)
1 30
15.7%
2 27
14.1%
4 20
10.5%
0 20
10.5%
8 18
9.4%
6 17
8.9%
3 16
8.4%
9 16
8.4%
5 15
7.9%
7 12
 
6.3%
Space Separator
ValueCountFrequency (%)
222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
62.9%
Common 439
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 80
 
10.7%
령 66
 
8.9%
남 58
 
7.8%
경 55
 
7.4%
군 55
 
7.4%
상 55
 
7.4%
도 55
 
7.4%
로 50
 
6.7%
면 44
 
5.9%
길 21
 
2.8%
Other values (57) 206
27.7%
Common
ValueCountFrequency (%)
222
50.6%
1 30
 
6.8%
2 27
 
6.2%
- 24
 
5.5%
4 20
 
4.6%
0 20
 
4.6%
8 18
 
4.1%
6 17
 
3.9%
3 16
 
3.6%
9 16
 
3.6%
Other values (3) 29
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
62.9%
ASCII 439
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
222
50.6%
1 30
 
6.8%
2 27
 
6.2%
- 24
 
5.5%
4 20
 
4.6%
0 20
 
4.6%
8 18
 
4.1%
6 17
 
3.9%
3 16
 
3.6%
9 16
 
3.6%
Other values (3) 29
 
6.6%
Hangul
ValueCountFrequency (%)
의 80
 
10.7%
령 66
 
8.9%
남 58
 
7.8%
경 55
 
7.4%
군 55
 
7.4%
상 55
 
7.4%
도 55
 
7.4%
로 50
 
6.7%
면 44
 
5.9%
길 21
 
2.8%
Other values (57) 206
27.7%

소재지(지번)
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T08:58:39.436563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.581818
Min length20

Characters and Unicode

Total characters1242
Distinct characters73
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

Unique53 ?
Unique (%)96.4%

Sample

1st row경상남도 의령군 화정면 상정리 126
2nd row경상남도 의령군 칠곡면 내조리 446-2
3rd row경상남도 의령군 칠곡면 외조리 390-5
4th row경상남도 의령군 부림면 신반리 81
5th row경상남도 의령군 칠곡면 산남리 563
ValueCountFrequency (%)
경상남도 55
19.9%
의령군 55
19.9%
의령읍 10
 
3.6%
부림면 9
 
3.2%
칠곡면 7
 
2.5%
화정면 7
 
2.5%
가례면 6
 
2.2%
정곡면 4
 
1.4%
상정리 4
 
1.4%
감암리 4
 
1.4%
Other values (97) 116
41.9%
2023-12-11T08:58:39.947327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
267
21.5%
의 68
 
5.5%
령 66
 
5.3%
상 63
 
5.1%
남 56
 
4.5%
군 55
 
4.4%
리 55
 
4.4%
경 55
 
4.4%
도 55
 
4.4%
1 54
 
4.3%
Other values (63) 448
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 720
58.0%
Space Separator 267
 
21.5%
Decimal Number 214
 
17.2%
Dash Punctuation 41
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 68
 
9.4%
령 66
 
9.2%
상 63
 
8.8%
남 56
 
7.8%
군 55
 
7.6%
리 55
 
7.6%
경 55
 
7.6%
도 55
 
7.6%
면 45
 
6.2%
정 19
 
2.6%
Other values (51) 183
25.4%
Decimal Number
ValueCountFrequency (%)
1 54
25.2%
5 28
13.1%
3 27
12.6%
4 24
11.2%
2 17
 
7.9%
6 15
 
7.0%
8 13
 
6.1%
7 13
 
6.1%
9 12
 
5.6%
0 11
 
5.1%
Space Separator
ValueCountFrequency (%)
267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
58.0%
Common 522
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 68
 
9.4%
령 66
 
9.2%
상 63
 
8.8%
남 56
 
7.8%
군 55
 
7.6%
리 55
 
7.6%
경 55
 
7.6%
도 55
 
7.6%
면 45
 
6.2%
정 19
 
2.6%
Other values (51) 183
25.4%
Common
ValueCountFrequency (%)
267
51.1%
1 54
 
10.3%
- 41
 
7.9%
5 28
 
5.4%
3 27
 
5.2%
4 24
 
4.6%
2 17
 
3.3%
6 15
 
2.9%
8 13
 
2.5%
7 13
 
2.5%
Other values (2) 23
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 720
58.0%
ASCII 522
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
267
51.1%
1 54
 
10.3%
- 41
 
7.9%
5 28
 
5.4%
3 27
 
5.2%
4 24
 
4.6%
2 17
 
3.3%
6 15
 
2.9%
8 13
 
2.5%
7 13
 
2.5%
Other values (2) 23
 
4.4%
Hangul
ValueCountFrequency (%)
의 68
 
9.4%
령 66
 
9.2%
상 63
 
8.8%
남 56
 
7.8%
군 55
 
7.6%
리 55
 
7.6%
경 55
 
7.6%
도 55
 
7.6%
면 45
 
6.2%
정 19
 
2.6%
Other values (51) 183
25.4%

영업장면적
Real number (ℝ)

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.58345
Minimum9
Maximum6415.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T08:58:40.124414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile36.75
Q194.64
median162
Q3415.225
95-th percentile1426.978
Maximum6415.2
Range6406.2
Interquartile range (IQR)320.585

Descriptive statistics

Standard deviation919.77863
Coefficient of variation (CV)2.0735188
Kurtosis33.858266
Mean443.58345
Median Absolute Deviation (MAD)96.88
Skewness5.3883852
Sum24397.09
Variance845992.74
MonotonicityNot monotonic
2023-12-11T08:58:40.286341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.0 2
 
3.6%
992.73 1
 
1.8%
37.5 1
 
1.8%
1008.15 1
 
1.8%
26.32 1
 
1.8%
1039.29 1
 
1.8%
72.0 1
 
1.8%
396.72 1
 
1.8%
277.5 1
 
1.8%
51.1 1
 
1.8%
Other values (44) 44
80.0%
ValueCountFrequency (%)
9.0 1
1.8%
26.32 1
1.8%
35.0 1
1.8%
37.5 1
1.8%
47.0 1
1.8%
48.0 1
1.8%
51.1 1
1.8%
58.27 1
1.8%
72.0 1
1.8%
77.21 1
1.8%
ValueCountFrequency (%)
6415.2 1
1.8%
2003.71 1
1.8%
1534.26 1
1.8%
1381.0 1
1.8%
1039.29 1
1.8%
1008.15 1
1.8%
992.73 1
1.8%
918.64 1
1.8%
862.05 1
1.8%
595.23 1
1.8%

소재지전화
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing13
Missing (%)23.6%
Memory size572.0 B
2023-12-11T08:58:40.558084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.928571
Min length9

Characters and Unicode

Total characters501
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 row055-573-6565
3rd row055-573-0440
4th row055-574-4711
5th row055-572-3718
ValueCountFrequency (%)
055-574-9716 2
 
4.8%
1599-4375 1
 
2.4%
055-573-7733 1
 
2.4%
055-570-4182 1
 
2.4%
053-611-6411 1
 
2.4%
055-920-0055 1
 
2.4%
055-572-5010 1
 
2.4%
055-572-1007 1
 
2.4%
055-572-1866 1
 
2.4%
055-573-7144 1
 
2.4%
Other values (31) 31
73.8%
2023-12-11T08:58:40.975520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 142
28.3%
- 83
16.6%
0 74
14.8%
7 54
 
10.8%
3 32
 
6.4%
2 29
 
5.8%
1 28
 
5.6%
4 24
 
4.8%
9 13
 
2.6%
6 11
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 418
83.4%
Dash Punctuation 83
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 142
34.0%
0 74
17.7%
7 54
 
12.9%
3 32
 
7.7%
2 29
 
6.9%
1 28
 
6.7%
4 24
 
5.7%
9 13
 
3.1%
6 11
 
2.6%
8 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 501
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 142
28.3%
- 83
16.6%
0 74
14.8%
7 54
 
10.8%
3 32
 
6.4%
2 29
 
5.8%
1 28
 
5.6%
4 24
 
4.8%
9 13
 
2.6%
6 11
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 142
28.3%
- 83
16.6%
0 74
14.8%
7 54
 
10.8%
3 32
 
6.4%
2 29
 
5.8%
1 28
 
5.6%
4 24
 
4.8%
9 13
 
2.6%
6 11
 
2.2%

우편번호(도로명)
Real number (ℝ)

Distinct30
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52131.273
Minimum52100
Maximum52160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T08:58:41.119651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52100
5-th percentile52106
Q152115
median52133
Q352144.5
95-th percentile52158
Maximum52160
Range60
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation18.31358
Coefficient of variation (CV)0.00035129739
Kurtosis-1.1051945
Mean52131.273
Median Absolute Deviation (MAD)16
Skewness0.03155008
Sum2867220
Variance335.38721
MonotonicityNot monotonic
2023-12-11T08:58:41.523947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
52134 7
 
12.7%
52107 6
 
10.9%
52133 5
 
9.1%
52157 4
 
7.3%
52158 3
 
5.5%
52111 2
 
3.6%
52160 2
 
3.6%
52128 2
 
3.6%
52123 2
 
3.6%
52106 2
 
3.6%
Other values (20) 20
36.4%
ValueCountFrequency (%)
52100 1
 
1.8%
52102 1
 
1.8%
52106 2
 
3.6%
52107 6
10.9%
52108 1
 
1.8%
52111 2
 
3.6%
52113 1
 
1.8%
52117 1
 
1.8%
52118 1
 
1.8%
52122 1
 
1.8%
ValueCountFrequency (%)
52160 2
3.6%
52158 3
5.5%
52157 4
7.3%
52156 1
 
1.8%
52155 1
 
1.8%
52153 1
 
1.8%
52151 1
 
1.8%
52149 1
 
1.8%
52140 1
 
1.8%
52139 1
 
1.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2023-09-11 00:00:00
Maximum2023-09-11 00:00:00
2023-12-11T08:58:41.640729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:41.733849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:58:35.593494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.096990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.358895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.686264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.178283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.433500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.780941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.271543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:58:35.508070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:58:41.826514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가일자업소명법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)
연번1.0001.0000.9451.0000.9450.9450.2870.9250.218
인허가일자1.0001.0000.9971.0000.9970.9971.0001.0000.951
업소명0.9450.9971.0001.0000.9990.9991.0001.0001.000
법인명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)0.9450.9970.9991.0001.0001.0001.0001.0001.000
소재지(지번)0.9450.9970.9991.0001.0001.0001.0001.0001.000
영업장면적0.2871.0001.0001.0001.0001.0001.0001.0000.316
소재지전화0.9251.0001.0001.0001.0001.0001.0001.0001.000
우편번호(도로명)0.2180.9511.0001.0001.0001.0000.3161.0001.000
2023-12-11T08:58:41.954282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장면적우편번호(도로명)
연번1.000-0.1280.002
영업장면적-0.1281.000-0.049
우편번호(도로명)0.002-0.0491.000

Missing values

2023-12-11T08:58:35.914923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:58:36.105524image/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.
2023-12-11T08:58:36.228910image/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

연번업종명인허가일자업소명법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)기준일자
01식품제조가공업1992-12-29진산물산<NA>경상남도 의령군 화정면 화정로5길 73경상남도 의령군 화정면 상정리 126992.73055-573-7733521572023-09-11
12식품제조가공업1994-01-08농업회사법인(주)의령조청한과농업회사법인 주식회사 의령조청한과경상남도 의령군 칠곡면 자굴산로 137경상남도 의령군 칠곡면 내조리 446-2918.64055-573-6565521342023-09-11
23식품제조가공업1994-06-03자굴산식품<NA>경상남도 의령군 칠곡면 자굴산로 93경상남도 의령군 칠곡면 외조리 390-5119.41055-573-0440521342023-09-11
34식품제조가공업1995-02-11주식회사 피피이씨의령주식회사 피피이씨의령경상남도 의령군 부림면 한지20길 40-21경상남도 의령군 부림면 신반리 811534.26055-574-4711521062023-09-11
45식품제조가공업1995-01-17의령토속식품<NA>경상남도 의령군 칠곡면 산남길 55경상남도 의령군 칠곡면 산남리 56377.21055-572-3718521342023-09-11
56식품제조가공업1999-11-09농업회사법인 다향연 티 주식회사농업회사법인 다향연 티 주식회사경상남도 의령군 칠곡면 자굴산로 161경상남도 의령군 칠곡면 내조리 319129.6055-573-0278521342023-09-11
67식품제조가공업2008-01-08삼동도토리가공 영농조합<NA>경상남도 의령군 봉수면 대한로 1429-10경상남도 의령군 봉수면 삼가리 385-999.06<NA>521022023-09-11
78식품제조가공업2008-01-18뿔당골식품<NA>경상남도 의령군 칠곡면 한티로5길 44-8경상남도 의령군 칠곡면 산북리 595120.0055-573-0435521342023-09-11
89식품제조가공업2008-02-15토종토식품<NA>경상남도 의령군 의령읍 벽화로 356경상남도 의령군 의령읍 상리 621-198.0055-573-2939521582023-09-11
910식품제조가공업2008-04-15부림영농조합법인부림영농조합법인경상남도 의령군 가례면 홍의로 180경상남도 의령군 가례면 대천리 454-1862.05055-572-6200521332023-09-11
연번업종명인허가일자업소명법인명소재지(도로명)소재지(지번)영업장면적소재지전화우편번호(도로명)기준일자
4546식품제조가공업2018-05-16남계복발효연구소<NA>경상남도 의령군 가례면 새가례로 21-6경상남도 의령군 가례면 가례리 443-6195.73<NA>521372023-09-11
4647식품제조가공업2018-05-29모모시루<NA>경상남도 의령군 의령읍 수암로 96경상남도 의령군 의령읍 하리 6591381.0055-572-0050521582023-09-11
4748식품제조가공업2019-03-12천혜식품<NA>경상남도 의령군 부림면 천혜로 497-2경상남도 의령군 부림면 권혜리 26035.0<NA>521002023-09-11
4849식품제조가공업2019-07-26농업회사법인 주식회사 논두렁농업회사법인주식회사 논두렁경상남도 의령군 화정면 석천로 80경상남도 의령군 화정면 상정리 311-1364.0055-573-5778521572023-09-11
4950식품제조가공업2019-10-08의령착한농장<NA>경상남도 의령군 유곡면 청정로 2409경상남도 의령군 유곡면 덕천리 435-1547.0<NA>521132023-09-11
5051식품제조가공업2020-01-29연호전통식품<NA>경상남도 의령군 부림면 미타로1길 32-1경상남도 의령군 부림면 감암리 1147-3125.0055-574-9716521072023-09-11
5152식품제조가공업2020-04-09효영식품<NA>경상남도 의령군 대의면 모의로 720-18경상남도 의령군 대의면 신전리 115199.5<NA>521302023-09-11
5253식품제조가공업2021-05-18(주)커스텀비주식회사 커스텀비경상남도 의령군 부림면 오소길 53경상남도 의령군 부림면 대곡리 163-12003.711599-4375521072023-09-11
5354식품제조가공업2021-05-28모시골푸드<NA>경상남도 의령군 화정면 화정로5길 66경상남도 의령군 화정면 상정리 745-1198.0<NA>521572023-09-11
5455식품제조가공업2010-05-12농업회사법인 의령 코끼리흑마늘 주식회사농업회사법인경상남도 으령군 화정명 화정로9길 15경상남도 의령군 화정면 상일리 507-196.02055-574-3222521602023-09-11