Overview

Dataset statistics

Number of variables6
Number of observations274
Missing cells57
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory50.5 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description익산시 관내에 소재하고 있는 식품제조가업업체의 상호명, 도로명 주소, 지번주소, 전화번호,도로명 우편번호, 지번 우편번호 등의 자료를 제공하고 있습니다.
Author전라북도 익산시
URLhttps://www.data.go.kr/data/15098071/fileData.do

Alerts

업종명 has constant value ""Constant
전화번호 has 57 (20.8%) missing valuesMissing
연번 has unique valuesUnique
업 소 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:12:45.080717
Analysis finished2023-12-12 06:12:46.204353
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.5
Minimum1
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T15:12:46.292348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.65
Q169.25
median137.5
Q3205.75
95-th percentile260.35
Maximum274
Range273
Interquartile range (IQR)136.5

Descriptive statistics

Standard deviation79.241193
Coefficient of variation (CV)0.57629959
Kurtosis-1.2
Mean137.5
Median Absolute Deviation (MAD)68.5
Skewness0
Sum37675
Variance6279.1667
MonotonicityStrictly increasing
2023-12-12T15:12:46.454535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
182 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
181 1
 
0.4%
207 1
 
0.4%
Other values (264) 264
96.4%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
식품제조가공업
274 

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 274
100.0%

Length

2023-12-12T15:12:46.582522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:46.666224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 274
100.0%

업 소 명
Text

UNIQUE 

Distinct274
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T15:12:46.845636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.1642336
Min length2

Characters and Unicode

Total characters2511
Distinct characters320
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)100.0%

Sample

1st row삼양식품(주)익산공장
2nd row온고을한과
3rd row(주)오리온 제2익산공장
4th row남양팜스
5th row(주)오리온 제3익산공장
ValueCountFrequency (%)
주식회사 38
 
9.4%
농업회사법인 25
 
6.2%
유한회사 9
 
2.2%
영농조합법인 7
 
1.7%
익산공장 5
 
1.2%
제2공장 4
 
1.0%
농업회사법인유한회사 3
 
0.7%
주)하림산업 3
 
0.7%
한국식품산업클러스터진흥원 3
 
0.7%
주)오리온 2
 
0.5%
Other values (301) 307
75.6%
2023-12-12T15:12:47.251770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
5.3%
주 122
 
4.9%
사 118
 
4.7%
회 111
 
4.4%
) 98
 
3.9%
식 97
 
3.9%
( 96
 
3.8%
농 73
 
2.9%
인 68
 
2.7%
법 62
 
2.5%
Other values (310) 1533
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2161
86.1%
Space Separator 133
 
5.3%
Close Punctuation 98
 
3.9%
Open Punctuation 96
 
3.8%
Decimal Number 14
 
0.6%
Other Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 122
 
5.6%
사 118
 
5.5%
회 111
 
5.1%
식 97
 
4.5%
농 73
 
3.4%
인 68
 
3.1%
법 62
 
2.9%
업 57
 
2.6%
품 46
 
2.1%
이 45
 
2.1%
Other values (296) 1362
63.0%
Decimal Number
ValueCountFrequency (%)
2 8
57.1%
3 3
 
21.4%
1 2
 
14.3%
9 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
c 1
33.3%
m 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
C 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2161
86.1%
Common 344
 
13.7%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 122
 
5.6%
사 118
 
5.5%
회 111
 
5.1%
식 97
 
4.5%
농 73
 
3.4%
인 68
 
3.1%
법 62
 
2.9%
업 57
 
2.6%
품 46
 
2.1%
이 45
 
2.1%
Other values (296) 1362
63.0%
Common
ValueCountFrequency (%)
133
38.7%
) 98
28.5%
( 96
27.9%
2 8
 
2.3%
. 3
 
0.9%
3 3
 
0.9%
1 2
 
0.6%
9 1
 
0.3%
Latin
ValueCountFrequency (%)
o 1
16.7%
c 1
16.7%
m 1
16.7%
V 1
16.7%
C 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2161
86.1%
ASCII 350
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
38.0%
) 98
28.0%
( 96
27.4%
2 8
 
2.3%
. 3
 
0.9%
3 3
 
0.9%
1 2
 
0.6%
o 1
 
0.3%
c 1
 
0.3%
m 1
 
0.3%
Other values (4) 4
 
1.1%
Hangul
ValueCountFrequency (%)
주 122
 
5.6%
사 118
 
5.5%
회 111
 
5.1%
식 97
 
4.5%
농 73
 
3.4%
인 68
 
3.1%
법 62
 
2.9%
업 57
 
2.6%
품 46
 
2.1%
이 45
 
2.1%
Other values (296) 1362
63.0%

소 재 지
Text

Distinct272
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T15:12:47.522228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.821168
Min length18

Characters and Unicode

Total characters7897
Distinct characters226
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

Unique270 ?
Unique (%)98.5%

Sample

1st row전라북도 익산시 익산대로21길 1-12 (모현동2가)
2nd row전라북도 익산시 왕궁면 오포길 73, 국가식품클러스터단지 1동 1층
3rd row전라북도 익산시 서동로23길 11 (신흥동)
4th row전라북도 익산시 오산면 군익로 374-26
5th row전라북도 익산시 동서로 317 (영등동)
ValueCountFrequency (%)
전라북도 274
 
16.4%
익산시 274
 
16.4%
왕궁면 90
 
5.4%
1층 50
 
3.0%
1동 28
 
1.7%
국가식품로 27
 
1.6%
1~2층 19
 
1.1%
오산면 18
 
1.1%
100 17
 
1.0%
국가식품클러스터단지 16
 
1.0%
Other values (461) 856
51.3%
2023-12-12T15:12:48.301005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1395
 
17.7%
1 374
 
4.7%
산 357
 
4.5%
익 295
 
3.7%
라 282
 
3.6%
북 279
 
3.5%
시 279
 
3.5%
도 277
 
3.5%
전 275
 
3.5%
동 188
 
2.4%
Other values (216) 3896
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4867
61.6%
Space Separator 1395
 
17.7%
Decimal Number 1196
 
15.1%
Other Punctuation 158
 
2.0%
Close Punctuation 88
 
1.1%
Open Punctuation 88
 
1.1%
Dash Punctuation 54
 
0.7%
Math Symbol 32
 
0.4%
Uppercase Letter 18
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 357
 
7.3%
익 295
 
6.1%
라 282
 
5.8%
북 279
 
5.7%
시 279
 
5.7%
도 277
 
5.7%
전 275
 
5.7%
동 188
 
3.9%
면 187
 
3.8%
길 177
 
3.6%
Other values (192) 2271
46.7%
Decimal Number
ValueCountFrequency (%)
1 374
31.3%
2 168
14.0%
3 118
 
9.9%
4 110
 
9.2%
5 94
 
7.9%
0 89
 
7.4%
6 70
 
5.9%
7 68
 
5.7%
9 58
 
4.8%
8 47
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
F 12
66.7%
E 2
 
11.1%
C 1
 
5.6%
B 1
 
5.6%
A 1
 
5.6%
Z 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 157
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Lowercase Letter
ValueCountFrequency (%)
f 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4867
61.6%
Common 3011
38.1%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 357
 
7.3%
익 295
 
6.1%
라 282
 
5.8%
북 279
 
5.7%
시 279
 
5.7%
도 277
 
5.7%
전 275
 
5.7%
동 188
 
3.9%
면 187
 
3.8%
길 177
 
3.6%
Other values (192) 2271
46.7%
Common
ValueCountFrequency (%)
1395
46.3%
1 374
 
12.4%
2 168
 
5.6%
, 157
 
5.2%
3 118
 
3.9%
4 110
 
3.7%
5 94
 
3.1%
0 89
 
3.0%
) 88
 
2.9%
( 88
 
2.9%
Other values (7) 330
 
11.0%
Latin
ValueCountFrequency (%)
F 12
63.2%
E 2
 
10.5%
C 1
 
5.3%
B 1
 
5.3%
A 1
 
5.3%
f 1
 
5.3%
Z 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4867
61.6%
ASCII 3030
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1395
46.0%
1 374
 
12.3%
2 168
 
5.5%
, 157
 
5.2%
3 118
 
3.9%
4 110
 
3.6%
5 94
 
3.1%
0 89
 
2.9%
) 88
 
2.9%
( 88
 
2.9%
Other values (14) 349
 
11.5%
Hangul
ValueCountFrequency (%)
산 357
 
7.3%
익 295
 
6.1%
라 282
 
5.8%
북 279
 
5.7%
시 279
 
5.7%
도 277
 
5.7%
전 275
 
5.7%
동 188
 
3.9%
면 187
 
3.8%
길 177
 
3.6%
Other values (192) 2271
46.7%

전화번호
Text

MISSING 

Distinct211
Distinct (%)97.2%
Missing57
Missing (%)20.8%
Memory size2.3 KiB
2023-12-12T15:12:48.686368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.940092
Min length9

Characters and Unicode

Total characters3025
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)94.5%

Sample

1st row 063- 720-7861
2nd row063 -833 -2735
3rd row 063- 830-6227
4th row 063- 855-9195
5th row 063- 840-6350
ValueCountFrequency (%)
063 195
33.3%
070 15
 
2.6%
832 12
 
2.1%
833 10
 
1.7%
835 10
 
1.7%
836 10
 
1.7%
855 8
 
1.4%
862 8
 
1.4%
854 8
 
1.4%
841 8
 
1.4%
Other values (240) 301
51.5%
2023-12-12T15:12:49.204961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 432
14.3%
410
13.6%
3 403
13.3%
0 398
13.2%
6 300
9.9%
8 284
9.4%
5 193
6.4%
1 134
 
4.4%
7 133
 
4.4%
2 133
 
4.4%
Other values (2) 205
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2183
72.2%
Dash Punctuation 432
 
14.3%
Space Separator 410
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 403
18.5%
0 398
18.2%
6 300
13.7%
8 284
13.0%
5 193
8.8%
1 134
 
6.1%
7 133
 
6.1%
2 133
 
6.1%
4 113
 
5.2%
9 92
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Space Separator
ValueCountFrequency (%)
410
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3025
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 432
14.3%
410
13.6%
3 403
13.3%
0 398
13.2%
6 300
9.9%
8 284
9.4%
5 193
6.4%
1 134
 
4.4%
7 133
 
4.4%
2 133
 
4.4%
Other values (2) 205
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 432
14.3%
410
13.6%
3 403
13.3%
0 398
13.2%
6 300
9.9%
8 284
9.4%
5 193
6.4%
1 134
 
4.4%
7 133
 
4.4%
2 133
 
4.4%
Other values (2) 205
6.8%

우편번호
Real number (ℝ)

Distinct72
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54575.551
Minimum54500
Maximum54679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T15:12:49.383126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54500
5-th percentile54504.65
Q154531
median54576
Q354587.75
95-th percentile54672
Maximum54679
Range179
Interquartile range (IQR)56.75

Descriptive statistics

Standard deviation51.890268
Coefficient of variation (CV)0.00095079696
Kurtosis-0.52360273
Mean54575.551
Median Absolute Deviation (MAD)42.5
Skewness0.61820238
Sum14953701
Variance2692.5999
MonotonicityNot monotonic
2023-12-12T15:12:49.542393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54576 89
32.5%
54526 12
 
4.4%
54531 12
 
4.4%
54671 8
 
2.9%
54670 7
 
2.6%
54535 7
 
2.6%
54528 6
 
2.2%
54669 6
 
2.2%
54672 6
 
2.2%
54502 5
 
1.8%
Other values (62) 116
42.3%
ValueCountFrequency (%)
54500 3
1.1%
54501 1
 
0.4%
54502 5
1.8%
54503 2
 
0.7%
54504 3
1.1%
54505 3
1.1%
54507 2
 
0.7%
54509 2
 
0.7%
54511 1
 
0.4%
54513 2
 
0.7%
ValueCountFrequency (%)
54679 4
1.5%
54678 2
 
0.7%
54677 2
 
0.7%
54675 1
 
0.4%
54673 1
 
0.4%
54672 6
2.2%
54671 8
2.9%
54670 7
2.6%
54669 6
2.2%
54667 2
 
0.7%

Interactions

2023-12-12T15:12:45.728946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:12:45.466759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:12:45.855477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:12:45.607767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:12:49.660572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.0000.253
우편번호0.2531.000
2023-12-12T15:12:49.757674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.000-0.045
우편번호-0.0451.000

Missing values

2023-12-12T15:12:46.014355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:12:46.136887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업종명업 소 명소 재 지전화번호우편번호
01식품제조가공업삼양식품(주)익산공장전라북도 익산시 익산대로21길 1-12 (모현동2가)063- 720-786154651
12식품제조가공업온고을한과전라북도 익산시 왕궁면 오포길 73, 국가식품클러스터단지 1동 1층063 -833 -273554576
23식품제조가공업(주)오리온 제2익산공장전라북도 익산시 서동로23길 11 (신흥동)063- 830-622754627
34식품제조가공업남양팜스전라북도 익산시 오산면 군익로 374-26063- 855-919554670
45식품제조가공업(주)오리온 제3익산공장전라북도 익산시 동서로 317 (영등동)063- 840-635054644
56식품제조가공업선화식품 주식회사전라북도 익산시 금마면 호남로 1011063- 835-511154572
67식품제조가공업(주)원창전라북도 익산시 익산대로33길 95 (신용동)063- 841-922554535
78식품제조가공업우리식품전라북도 익산시 함열읍 용왕길 28063- 861-093854526
89식품제조가공업(주)하림전라북도 익산시 망성면 망성로 14 (주)하림 E동 1층, 3층, 4층063- 862-254254517
910식품제조가공업영식품전라북도 익산시 용안면 중신들길 159-16063- 861-299154507
연번업종명업 소 명소 재 지전화번호우편번호
264265식품제조가공업(유)에이치앤전라북도 익산시 성당면 성당로 413-96, 1,2,3동063 -243 -857854504
265266식품제조가공업주식회사나경물산농업회사법인전라북도 익산시 성당면 성당로 413-47<NA>54504
266267식품제조가공업에스시디디 주식회사 익산2공장전라북도 익산시 왕궁면 푸드폴리스로9길 46063 -832 -850454576
267268식품제조가공업농업회사법인 유한회사 달콤허니전라북도 익산시 여산면 가람로 365-1<NA>54520
268269식품제조가공업다온팜스(익산지역자활센터)전라북도 익산시 신광1길 4-11 (목천동)063 -841 -104054672
269270식품제조가공업두부명작(익산원광지역자활센터)전라북도 익산시 신광1길 4-11 (목천동)063 -842 -145954672
270271식품제조가공업(주) 밀크트리전라북도 익산시 왕궁면 푸드폴리스로11길 57<NA>54576
271272식품제조가공업담가온식품 유한회사전라북도 익산시 평동로 539, 1, 2동 (평화동)<NA>54667
272273식품제조가공업고려자연푸드 주식회사전라북도 익산시 왕궁면 국가식품로 23063 -211 -402154576
273274식품제조가공업농업회사법인주식회사 선한전라북도 익산시 왕궁면 호남로 359, 1동 1,2층<NA>54576