Overview

Dataset statistics

Number of variables7
Number of observations316
Missing cells597
Missing cells (%)27.0%
Duplicate rows3
Duplicate rows (%)0.9%
Total size in memory17.4 KiB
Average record size in memory56.4 B

Variable types

Text5
Categorical2

Dataset

Description강원도 축산물(한우 등) 브랜드별 판매점 주소, 연락처 등
Author강원도
URLhttps://www.data.go.kr/data/3073120/fileData.do

Alerts

Dataset has 3 (0.9%) duplicate rowsDuplicates
Unnamed: 2 is highly overall correlated with Unnamed: 6High correlation
Unnamed: 6 is highly overall correlated with Unnamed: 2High correlation
Unnamed: 6 is highly imbalanced (83.4%)Imbalance
축산물 브랜드 판매점 현황(‘15.11.30.현재) has 301 (95.3%) missing valuesMissing
Unnamed: 1 has 177 (56.0%) missing valuesMissing
Unnamed: 3 has 16 (5.1%) missing valuesMissing
Unnamed: 4 has 13 (4.1%) missing valuesMissing
Unnamed: 5 has 90 (28.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:53:13.143070
Analysis finished2023-12-12 19:53:14.050313
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

축산물 브랜드 판매점 현황(‘15.11.30.현재)
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing301
Missing (%)95.3%
Memory size2.6 KiB
2023-12-13T04:53:14.170687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.6
Min length2

Characters and Unicode

Total characters69
Distinct characters38
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)73.3%

Sample

1st row브랜드명
2nd row하이록한우
3rd row치악산한우
4th row대관령한우
5th row늘푸름
ValueCountFrequency (%)
강원 2
11.8%
깊은산 2
11.8%
맑은돈 2
11.8%
브랜드명 1
 
5.9%
하이록한우 1
 
5.9%
치악산한우 1
 
5.9%
대관령한우 1
 
5.9%
늘푸름 1
 
5.9%
홍천한우 1
 
5.9%
횡성축협한우 1
 
5.9%
Other values (4) 4
23.5%
2023-12-13T04:53:14.526960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 7
 
10.1%
우 7
 
10.1%
4
 
5.8%
은 4
 
5.8%
산 4
 
5.8%
돈 3
 
4.3%
강 2
 
2.9%
령 2
 
2.9%
원 2
 
2.9%
악 2
 
2.9%
Other values (28) 32
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64
92.8%
Space Separator 5
 
7.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 7
 
10.9%
우 7
 
10.9%
은 4
 
6.2%
산 4
 
6.2%
돈 3
 
4.7%
강 2
 
3.1%
령 2
 
3.1%
원 2
 
3.1%
악 2
 
3.1%
치 2
 
3.1%
Other values (26) 29
45.3%
Space Separator
ValueCountFrequency (%)
4
80.0%
  1
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64
92.8%
Common 5
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 7
 
10.9%
우 7
 
10.9%
은 4
 
6.2%
산 4
 
6.2%
돈 3
 
4.7%
강 2
 
3.1%
령 2
 
3.1%
원 2
 
3.1%
악 2
 
3.1%
치 2
 
3.1%
Other values (26) 29
45.3%
Common
ValueCountFrequency (%)
4
80.0%
  1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64
92.8%
ASCII 4
 
5.8%
None 1
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 7
 
10.9%
우 7
 
10.9%
은 4
 
6.2%
산 4
 
6.2%
돈 3
 
4.7%
강 2
 
3.1%
령 2
 
3.1%
원 2
 
3.1%
악 2
 
3.1%
치 2
 
3.1%
Other values (26) 29
45.3%
ASCII
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
  1
100.0%

Unnamed: 1
Text

MISSING 

Distinct121
Distinct (%)87.1%
Missing177
Missing (%)56.0%
Memory size2.6 KiB
2023-12-13T04:53:14.763880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.2877698
Min length2

Characters and Unicode

Total characters1013
Distinct characters210
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)79.1%

Sample

1st row주 사 업 소
2nd row춘천철원축협
3rd row(033-242-1254)
4th row하이록한우사업단
5th row(033-242-1254)
ValueCountFrequency (%)
㈜이마트 22
 
12.1%
롯데백화점 7
 
3.8%
백두대간 4
 
2.2%
영농조합법인 4
 
2.2%
033-242-1254 3
 
1.6%
033-434-3415 3
 
1.6%
홍천축협 3
 
1.6%
동해농협 2
 
1.1%
원주원예농협 2
 
1.1%
평촌점 2
 
1.1%
Other values (124) 130
71.4%
2023-12-13T04:53:15.193535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
5.1%
3 42
 
4.1%
점 38
 
3.8%
협 34
 
3.4%
이 32
 
3.2%
농 29
 
2.9%
- 28
 
2.8%
4 26
 
2.6%
트 26
 
2.6%
㈜ 26
 
2.6%
Other values (200) 680
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
70.2%
Decimal Number 142
 
14.0%
Space Separator 53
 
5.2%
Dash Punctuation 28
 
2.8%
Other Symbol 26
 
2.6%
Close Punctuation 24
 
2.4%
Open Punctuation 24
 
2.4%
Other Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 38
 
5.3%
협 34
 
4.8%
이 32
 
4.5%
농 29
 
4.1%
트 26
 
3.7%
마 25
 
3.5%
원 19
 
2.7%
주 17
 
2.4%
축 17
 
2.4%
천 13
 
1.8%
Other values (177) 461
64.8%
Decimal Number
ValueCountFrequency (%)
3 42
29.6%
4 26
18.3%
2 22
15.5%
0 17
12.0%
1 14
 
9.9%
6 8
 
5.6%
5 8
 
5.6%
9 2
 
1.4%
8 2
 
1.4%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
33.3%
& 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
52
98.1%
  1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 23
95.8%
] 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 23
95.8%
[ 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 737
72.8%
Common 274
 
27.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 38
 
5.2%
협 34
 
4.6%
이 32
 
4.3%
농 29
 
3.9%
트 26
 
3.5%
㈜ 26
 
3.5%
마 25
 
3.4%
원 19
 
2.6%
주 17
 
2.3%
축 17
 
2.3%
Other values (178) 474
64.3%
Common
ValueCountFrequency (%)
52
19.0%
3 42
15.3%
- 28
10.2%
4 26
9.5%
) 23
8.4%
( 23
8.4%
2 22
8.0%
0 17
 
6.2%
1 14
 
5.1%
6 8
 
2.9%
Other values (10) 19
 
6.9%
Latin
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
70.2%
ASCII 275
 
27.1%
None 27
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
18.9%
3 42
15.3%
- 28
10.2%
4 26
9.5%
) 23
8.4%
( 23
8.4%
2 22
8.0%
0 17
 
6.2%
1 14
 
5.1%
6 8
 
2.9%
Other values (11) 20
 
7.3%
Hangul
ValueCountFrequency (%)
점 38
 
5.3%
협 34
 
4.8%
이 32
 
4.5%
농 29
 
4.1%
트 26
 
3.7%
마 25
 
3.5%
원 19
 
2.7%
주 17
 
2.4%
축 17
 
2.4%
천 13
 
1.8%
Other values (177) 461
64.8%
None
ValueCountFrequency (%)
㈜ 26
96.3%
  1
 
3.7%

Unnamed: 2
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
식육판매점
183 
판매장
29 
식당
26 
사이버
 
16
<NA>
 
12
Other values (18)
50 

Length

Max length13
Median length5
Mean length4.7405063
Min length2

Unique

Unique11 ?
Unique (%)3.5%

Sample

1st row업  종
2nd row식육판매점
3rd row식육판매점
4th row식육판매점
5th row식육판매점

Common Values

ValueCountFrequency (%)
식육판매점 183
57.9%
판매장 29
 
9.2%
식당 26
 
8.2%
사이버 16
 
5.1%
<NA> 12
 
3.8%
식육판매점+식당 11
 
3.5%
직거래 장터 9
 
2.8%
직거래 장터 7
 
2.2%
직거래장터 6
 
1.9%
식당/판매장 2
 
0.6%
Other values (13) 15
 
4.7%

Length

2023-12-13T04:53:15.343772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식육판매점 183
53.2%
판매장 29
 
8.4%
식당 26
 
7.6%
사이버 17
 
4.9%
직거래 16
 
4.7%
장터 16
 
4.7%
na 12
 
3.5%
식육판매점+식당 11
 
3.2%
직거래장터 6
 
1.7%
단체급식 4
 
1.2%
Other values (16) 24
 
7.0%

Unnamed: 3
Text

MISSING 

Distinct109
Distinct (%)36.3%
Missing16
Missing (%)5.1%
Memory size2.6 KiB
2023-12-13T04:53:15.598062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.0133333
Min length3

Characters and Unicode

Total characters1504
Distinct characters135
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)32.3%

Sample

1st row구  분
2nd row직영점
3rd row직영점
4th row직영점
5th row직영점
ValueCountFrequency (%)
홈플러스 88
20.4%
가맹점 76
17.6%
직영점 45
 
10.4%
유통업체 37
 
8.6%
참 16
 
3.7%
여 16
 
3.7%
입 10
 
2.3%
점 10
 
2.3%
전문 6
 
1.4%
취급점 5
 
1.2%
Other values (107) 122
28.3%
2023-12-13T04:53:16.000377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 237
15.8%
131
 
8.7%
스 89
 
5.9%
러 88
 
5.9%
플 88
 
5.9%
홈 88
 
5.9%
가 83
 
5.5%
맹 79
 
5.3%
직 50
 
3.3%
영 48
 
3.2%
Other values (125) 523
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1354
90.0%
Space Separator 150
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 237
17.5%
스 89
 
6.6%
러 88
 
6.5%
플 88
 
6.5%
홈 88
 
6.5%
가 83
 
6.1%
맹 79
 
5.8%
직 50
 
3.7%
영 48
 
3.5%
체 46
 
3.4%
Other values (122) 458
33.8%
Space Separator
ValueCountFrequency (%)
131
87.3%
　 17
 
11.3%
  2
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1354
90.0%
Common 150
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 237
17.5%
스 89
 
6.6%
러 88
 
6.5%
플 88
 
6.5%
홈 88
 
6.5%
가 83
 
6.1%
맹 79
 
5.8%
직 50
 
3.7%
영 48
 
3.5%
체 46
 
3.4%
Other values (122) 458
33.8%
Common
ValueCountFrequency (%)
131
87.3%
　 17
 
11.3%
  2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1354
90.0%
ASCII 131
 
8.7%
None 19
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 237
17.5%
스 89
 
6.6%
러 88
 
6.5%
플 88
 
6.5%
홈 88
 
6.5%
가 83
 
6.1%
맹 79
 
5.8%
직 50
 
3.7%
영 48
 
3.5%
체 46
 
3.4%
Other values (122) 458
33.8%
ASCII
ValueCountFrequency (%)
131
100.0%
None
ValueCountFrequency (%)
　 17
89.5%
  2
 
10.5%

Unnamed: 4
Text

MISSING 

Distinct298
Distinct (%)98.3%
Missing13
Missing (%)4.1%
Memory size2.6 KiB
2023-12-13T04:53:16.293960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length19.405941
Min length3

Characters and Unicode

Total characters5880
Distinct characters306
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)97.4%

Sample

1st row주  소
2nd row춘천시 후석로 436(후평동) 하나로마트공단점
3rd row춘천시 경춘로 2342(온의동)하나로마트강남점
4th row춘천시 중앙로 3가 91 하나로마트중앙로점
5th row춘천시 지석로 11(퇴계동) 하나로마트퇴계점
ValueCountFrequency (%)
강원 71
 
5.3%
원주시 36
 
2.7%
경기 36
 
2.7%
서울 28
 
2.1%
하나로마트 19
 
1.4%
춘천시 15
 
1.1%
경기도 14
 
1.0%
강릉시 14
 
1.0%
인천 13
 
1.0%
평창군 10
 
0.7%
Other values (774) 1085
80.9%
2023-12-13T04:53:16.762559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1039
 
17.7%
로 269
 
4.6%
원 180
 
3.1%
시 176
 
3.0%
1 152
 
2.6%
동 147
 
2.5%
구 141
 
2.4%
강 120
 
2.0%
2 103
 
1.8%
) 97
 
1.6%
Other values (296) 3456
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3820
65.0%
Space Separator 1048
 
17.8%
Decimal Number 783
 
13.3%
Close Punctuation 97
 
1.6%
Open Punctuation 97
 
1.6%
Dash Punctuation 19
 
0.3%
Other Punctuation 10
 
0.2%
Uppercase Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 269
 
7.0%
원 180
 
4.7%
시 176
 
4.6%
동 147
 
3.8%
구 141
 
3.7%
강 120
 
3.1%
천 90
 
2.4%
경 87
 
2.3%
대 82
 
2.1%
서 74
 
1.9%
Other values (274) 2454
64.2%
Decimal Number
ValueCountFrequency (%)
1 152
19.4%
2 103
13.2%
4 86
11.0%
3 84
10.7%
5 81
10.3%
6 68
8.7%
9 58
 
7.4%
7 54
 
6.9%
0 53
 
6.8%
8 44
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
. 1
 
10.0%
/ 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
B 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
1039
99.1%
  9
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3820
65.0%
Common 2054
34.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 269
 
7.0%
원 180
 
4.7%
시 176
 
4.6%
동 147
 
3.8%
구 141
 
3.7%
강 120
 
3.1%
천 90
 
2.4%
경 87
 
2.3%
대 82
 
2.1%
서 74
 
1.9%
Other values (274) 2454
64.2%
Common
ValueCountFrequency (%)
1039
50.6%
1 152
 
7.4%
2 103
 
5.0%
) 97
 
4.7%
( 97
 
4.7%
4 86
 
4.2%
3 84
 
4.1%
5 81
 
3.9%
6 68
 
3.3%
9 58
 
2.8%
Other values (8) 189
 
9.2%
Latin
ValueCountFrequency (%)
T 2
33.3%
a 2
33.3%
B 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3820
65.0%
ASCII 2051
34.9%
None 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1039
50.7%
1 152
 
7.4%
2 103
 
5.0%
) 97
 
4.7%
( 97
 
4.7%
4 86
 
4.2%
3 84
 
4.1%
5 81
 
3.9%
6 68
 
3.3%
9 58
 
2.8%
Other values (11) 186
 
9.1%
Hangul
ValueCountFrequency (%)
로 269
 
7.0%
원 180
 
4.7%
시 176
 
4.6%
동 147
 
3.8%
구 141
 
3.7%
강 120
 
3.1%
천 90
 
2.4%
경 87
 
2.3%
대 82
 
2.1%
서 74
 
1.9%
Other values (274) 2454
64.2%
None
ValueCountFrequency (%)
  9
100.0%

Unnamed: 5
Text

MISSING 

Distinct211
Distinct (%)93.4%
Missing90
Missing (%)28.5%
Memory size2.6 KiB
2023-12-13T04:53:17.011891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.464602
Min length2

Characters and Unicode

Total characters2591
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)91.6%

Sample

1st row전화번호
2nd row033-252-3217
3rd row033-243-8222
4th row033-258-8285
5th row033-264-3800
ValueCountFrequency (%)
033-439-3455 5
 
2.3%
033-644-4166 2
 
0.9%
033-573-5610 2
 
0.9%
033-732-3308 1
 
0.5%
053-664-8000 1
 
0.5%
02-312-2080 1
 
0.5%
전화번호 1
 
0.5%
053-550-8000 1
 
0.5%
054-770-8000 1
 
0.5%
054-459-8000 1
 
0.5%
Other values (200) 200
92.6%
2023-12-13T04:53:17.460955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 588
22.7%
- 426
16.4%
3 402
15.5%
2 246
9.5%
8 165
 
6.4%
4 155
 
6.0%
1 154
 
5.9%
5 144
 
5.6%
6 114
 
4.4%
7 88
 
3.4%
Other values (8) 109
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2136
82.4%
Dash Punctuation 426
 
16.4%
Space Separator 24
 
0.9%
Other Letter 4
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 588
27.5%
3 402
18.8%
2 246
11.5%
8 165
 
7.7%
4 155
 
7.3%
1 154
 
7.2%
5 144
 
6.7%
6 114
 
5.3%
7 88
 
4.1%
9 80
 
3.7%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Space Separator
ValueCountFrequency (%)
  14
58.3%
10
41.7%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2587
99.8%
Hangul 4
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 588
22.7%
- 426
16.5%
3 402
15.5%
2 246
9.5%
8 165
 
6.4%
4 155
 
6.0%
1 154
 
6.0%
5 144
 
5.6%
6 114
 
4.4%
7 88
 
3.4%
Other values (4) 105
 
4.1%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2573
99.3%
None 14
 
0.5%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 588
22.9%
- 426
16.6%
3 402
15.6%
2 246
9.6%
8 165
 
6.4%
4 155
 
6.0%
1 154
 
6.0%
5 144
 
5.6%
6 114
 
4.4%
7 88
 
3.4%
Other values (3) 91
 
3.5%
None
ValueCountFrequency (%)
  14
100.0%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 6
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
 
303 
<NA>
 
12
비 고
 
1

Length

Max length4
Median length2
Mean length2.0791139
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row비 고
2nd row 
3rd row 
4th row 
5th row 

Common Values

ValueCountFrequency (%)
  303
95.9%
<NA> 12
 
3.8%
비 고 1
 
0.3%

Length

2023-12-13T04:53:17.658978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:17.788404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
85.7%
비 1
 
7.1%
고 1
 
7.1%

Correlations

2023-12-13T04:53:17.871305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축산물 브랜드 판매점 현황(‘15.11.30.현재)Unnamed: 2Unnamed: 6
축산물 브랜드 판매점 현황(‘15.11.30.현재)1.0001.0001.000
Unnamed: 21.0001.0001.000
Unnamed: 61.0001.0001.000
2023-12-13T04:53:18.273688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 6
Unnamed: 21.0000.968
Unnamed: 60.9681.000
2023-12-13T04:53:18.376392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 6
Unnamed: 21.0000.968
Unnamed: 60.9681.000

Missing values

2023-12-13T04:53:13.712496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:53:13.831809image/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.
2023-12-13T04:53:13.950824image/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

축산물 브랜드 판매점 현황(‘15.11.30.현재)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6
0브랜드명주 사 업 소업  종구  분주  소전화번호비 고
1하이록한우춘천철원축협식육판매점직영점춘천시 후석로 436(후평동) 하나로마트공단점033-252-3217
2<NA>(033-242-1254)식육판매점직영점춘천시 경춘로 2342(온의동)하나로마트강남점033-243-8222
3<NA><NA>식육판매점직영점춘천시 중앙로 3가 91 하나로마트중앙로점033-258-8285
4<NA><NA>식육판매점직영점춘천시 지석로 11(퇴계동) 하나로마트퇴계점033-264-3800
5<NA><NA>식육판매점직영점양구군 양구읍 청춘로 73-20 양구농협 1호점033-481-2089
6<NA><NA>식육판매점직영점양구군 동면 금강산로 1696 양구농협 3호점033-481-8095
7<NA><NA>식육판매점직영점철원군 갈말읍 호국로 4987 초원육가공033-452-6645
8<NA><NA>식육판매점직영점화천군 화천읍 중앙로 13 화천농협033-442-2495
9<NA><NA>식당직영점춘천시 지석로 11(퇴계동) 하이록 전문식당033-261-9253
축산물 브랜드 판매점 현황(‘15.11.30.현재)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6
306<NA>호반정육점식당식당가맹점충북 청주시 흥덕구 서현중로 49(가경동)<NA>
307<NA>금도야지식당가맹점강원 원주시 단구로 50(단계동)033-748-6556
308<NA>자매칼국수식당가맹정강원 원주시 지정면 간현로 174033-732-3308
309<NA>산다화식당가맹점강원 원주시 지정면 원앙2로 135033-734-5400
310<NA>돈가스랑 메밀이랑식당가맹점강원 원주시 우산초교길 61<NA>
311<NA>송호식품관광농원/식당전문취급점강원 원주시 지정면 송호로<NA>
312<NA>명륜삼겹살식당가맹점강원 원주시 소방서길 1033-762-9292
313<NA>대통낙지식당제품 사용점강원 행구로 246(행구동)<NA>
314<NA>라은통상온라인/오프라인가맹점경기 하남시 감초로 4길 나동3층<NA>
315<NA><NA>판매점<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

축산물 브랜드 판매점 현황(‘15.11.30.현재)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6# duplicates
1<NA><NA>사이버입 점농협쇼핑<NA>3
0<NA>(033-434-3415)<NA><NA><NA><NA><NA>2
2<NA><NA>사이버입 점우체국쇼핑<NA>2