Overview

Dataset statistics

Number of variables6
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.9 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description경상남도 하동군에 있는 농약판매업체 현황 (연번, 업체명, 읍면, 주소, 대표자, 전화번호)의 정보를 제공하고 있습니다
URLhttps://www.data.go.kr/data/15086096/fileData.do

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:53:44.690868
Analysis finished2023-12-12 16:53:45.342254
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T01:53:45.411640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-13T01:53:45.579791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

업체명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T01:53:45.813204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.0294118
Min length5

Characters and Unicode

Total characters239
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row금남농업협동조합
2nd row금남농협고남지점
3rd row금남농협금성지점
4th row금성농약사
5th row금오농업협동조합
ValueCountFrequency (%)
금남농업협동조합 1
 
2.9%
금남농협고남지점 1
 
2.9%
화개악양농협악양지점 1
 
2.9%
화개악양농업협동조합 1
 
2.9%
현대농약종묘사 1
 
2.9%
한진농약사 1
 
2.9%
하동흥농종묘사 1
 
2.9%
하동종묘사 1
 
2.9%
하동농협전도지점 1
 
2.9%
양보종묘농약사 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T01:53:46.157834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 31
 
13.0%
사 17
 
7.1%
협 16
 
6.7%
약 13
 
5.4%
동 12
 
5.0%
지 12
 
5.0%
점 9
 
3.8%
종 9
 
3.8%
하 7
 
2.9%
금 7
 
2.9%
Other values (48) 106
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 31
 
13.0%
사 17
 
7.1%
협 16
 
6.7%
약 13
 
5.4%
동 12
 
5.0%
지 12
 
5.0%
점 9
 
3.8%
종 9
 
3.8%
하 7
 
2.9%
금 7
 
2.9%
Other values (48) 106
44.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 239
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 31
 
13.0%
사 17
 
7.1%
협 16
 
6.7%
약 13
 
5.4%
동 12
 
5.0%
지 12
 
5.0%
점 9
 
3.8%
종 9
 
3.8%
하 7
 
2.9%
금 7
 
2.9%
Other values (48) 106
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 31
 
13.0%
사 17
 
7.1%
협 16
 
6.7%
약 13
 
5.4%
동 12
 
5.0%
지 12
 
5.0%
점 9
 
3.8%
종 9
 
3.8%
하 7
 
2.9%
금 7
 
2.9%
Other values (48) 106
44.4%

읍면
Categorical

Distinct14
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
하동읍
7 
진교면
6 
옥종면
5 
금남면
2 
금성면
2 
Other values (9)
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique6 ?
Unique (%)17.6%

Sample

1st row금남면
2nd row금남면
3rd row금성면
4th row금성면
5th row양보면

Common Values

ValueCountFrequency (%)
하동읍 7
20.6%
진교면 6
17.6%
옥종면 5
14.7%
금남면 2
 
5.9%
금성면 2
 
5.9%
양보면 2
 
5.9%
횡천면 2
 
5.9%
고전면 2
 
5.9%
북천면 1
 
2.9%
하동군 1
 
2.9%
Other values (4) 4
11.8%

Length

2023-12-13T01:53:46.318181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하동읍 7
20.6%
진교면 6
17.6%
옥종면 5
14.7%
금남면 2
 
5.9%
금성면 2
 
5.9%
양보면 2
 
5.9%
횡천면 2
 
5.9%
고전면 2
 
5.9%
북천면 1
 
2.9%
하동군 1
 
2.9%
Other values (4) 4
11.8%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T01:53:46.537978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.794118
Min length19

Characters and Unicode

Total characters741
Distinct characters70
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

Unique34 ?
Unique (%)100.0%

Sample

1st row경상남도 하동군 금남면 제먼당길91
2nd row경상남도 하동군 금남면 섬진강대로961
3rd row경상남도 하동군 금성면 신도길 127
4th row경상남도 하동군 금성면 금성중앙길 75
5th row경상남도 하동군 양보면 진양로 739
ValueCountFrequency (%)
경상남도 34
20.2%
하동군 34
20.2%
하동읍 7
 
4.2%
진교면 6
 
3.6%
옥종면 5
 
3.0%
경서대로 4
 
2.4%
민다리길 3
 
1.8%
금남면 3
 
1.8%
시장2길 2
 
1.2%
75 2
 
1.2%
Other values (60) 68
40.5%
2023-12-13T01:53:46.918522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
22.7%
하 42
 
5.7%
동 42
 
5.7%
경 39
 
5.3%
남 37
 
5.0%
도 35
 
4.7%
군 34
 
4.6%
상 34
 
4.6%
1 29
 
3.9%
면 27
 
3.6%
Other values (60) 254
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
63.4%
Space Separator 168
 
22.7%
Decimal Number 97
 
13.1%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 42
 
8.9%
동 42
 
8.9%
경 39
 
8.3%
남 37
 
7.9%
도 35
 
7.4%
군 34
 
7.2%
상 34
 
7.2%
면 27
 
5.7%
길 19
 
4.0%
로 15
 
3.2%
Other values (48) 146
31.1%
Decimal Number
ValueCountFrequency (%)
1 29
29.9%
5 12
12.4%
4 11
 
11.3%
2 11
 
11.3%
7 10
 
10.3%
9 8
 
8.2%
6 6
 
6.2%
3 5
 
5.2%
0 3
 
3.1%
8 2
 
2.1%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
63.4%
Common 271
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 42
 
8.9%
동 42
 
8.9%
경 39
 
8.3%
남 37
 
7.9%
도 35
 
7.4%
군 34
 
7.2%
상 34
 
7.2%
면 27
 
5.7%
길 19
 
4.0%
로 15
 
3.2%
Other values (48) 146
31.1%
Common
ValueCountFrequency (%)
168
62.0%
1 29
 
10.7%
5 12
 
4.4%
4 11
 
4.1%
2 11
 
4.1%
7 10
 
3.7%
9 8
 
3.0%
6 6
 
2.2%
- 6
 
2.2%
3 5
 
1.8%
Other values (2) 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
63.4%
ASCII 271
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
62.0%
1 29
 
10.7%
5 12
 
4.4%
4 11
 
4.1%
2 11
 
4.1%
7 10
 
3.7%
9 8
 
3.0%
6 6
 
2.2%
- 6
 
2.2%
3 5
 
1.8%
Other values (2) 5
 
1.8%
Hangul
ValueCountFrequency (%)
하 42
 
8.9%
동 42
 
8.9%
경 39
 
8.3%
남 37
 
7.9%
도 35
 
7.4%
군 34
 
7.2%
상 34
 
7.2%
면 27
 
5.7%
길 19
 
4.0%
로 15
 
3.2%
Other values (48) 146
31.1%

대표자
Text

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T01:53:47.152853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1176471
Min length3

Characters and Unicode

Total characters106
Distinct characters60
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)52.9%

Sample

1st row최강호
2nd row최강호
3rd row최강호
4th row윤성재
5th row조상석
ValueCountFrequency (%)
여근호 4
 
11.8%
최강호 3
 
8.8%
박한균 3
 
8.8%
정명화 2
 
5.9%
임종갑 2
 
5.9%
조상석 2
 
5.9%
김기범 1
 
2.9%
정홍수 1
 
2.9%
김희표 1
 
2.9%
강정숙 1
 
2.9%
Other values (14) 14
41.2%
2023-12-13T01:53:47.513800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 7
 
6.6%
김 6
 
5.7%
강 5
 
4.7%
정 5
 
4.7%
여 4
 
3.8%
근 4
 
3.8%
박 3
 
2.8%
한 3
 
2.8%
균 3
 
2.8%
최 3
 
2.8%
Other values (50) 63
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
99.1%
Math Symbol 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 7
 
6.7%
김 6
 
5.7%
강 5
 
4.8%
정 5
 
4.8%
여 4
 
3.8%
근 4
 
3.8%
박 3
 
2.9%
한 3
 
2.9%
균 3
 
2.9%
최 3
 
2.9%
Other values (49) 62
59.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 7
 
6.7%
김 6
 
5.7%
강 5
 
4.8%
정 5
 
4.8%
여 4
 
3.8%
근 4
 
3.8%
박 3
 
2.9%
한 3
 
2.9%
균 3
 
2.9%
최 3
 
2.9%
Other values (49) 62
59.0%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 7
 
6.7%
김 6
 
5.7%
강 5
 
4.8%
정 5
 
4.8%
여 4
 
3.8%
근 4
 
3.8%
박 3
 
2.9%
한 3
 
2.9%
균 3
 
2.9%
최 3
 
2.9%
Other values (49) 62
59.0%
ASCII
ValueCountFrequency (%)
+ 1
100.0%

전화번호
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T01:53:47.734919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique28 ?
Unique (%)82.4%

Sample

1st row055-883-8300
2nd row055-883-8304
3rd row055-883-8306
4th row055-884-7833
5th row055-882-7675
ValueCountFrequency (%)
055-883-3824 2
 
5.9%
055-882-5011 2
 
5.9%
055-882-8212 2
 
5.9%
055-882-5593 1
 
2.9%
055-883-8300 1
 
2.9%
055-882-0230 1
 
2.9%
055-883-5888 1
 
2.9%
055-883-4235 1
 
2.9%
055-883-8268 1
 
2.9%
055-884-4535 1
 
2.9%
Other values (21) 21
61.8%
2023-12-13T01:53:48.104038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 88
21.6%
5 85
20.8%
- 68
16.7%
0 53
13.0%
2 33
 
8.1%
3 28
 
6.9%
4 19
 
4.7%
1 15
 
3.7%
6 11
 
2.7%
7 4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 88
25.9%
5 85
25.0%
0 53
15.6%
2 33
 
9.7%
3 28
 
8.2%
4 19
 
5.6%
1 15
 
4.4%
6 11
 
3.2%
7 4
 
1.2%
9 4
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 88
21.6%
5 85
20.8%
- 68
16.7%
0 53
13.0%
2 33
 
8.1%
3 28
 
6.9%
4 19
 
4.7%
1 15
 
3.7%
6 11
 
2.7%
7 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 88
21.6%
5 85
20.8%
- 68
16.7%
0 53
13.0%
2 33
 
8.1%
3 28
 
6.9%
4 19
 
4.7%
1 15
 
3.7%
6 11
 
2.7%
7 4
 
1.0%

Interactions

2023-12-13T01:53:45.036132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:53:48.230515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명읍면주소대표자전화번호
연번1.0001.0000.7001.0000.9730.978
업체명1.0001.0001.0001.0001.0001.000
읍면0.7001.0001.0001.0000.0000.900
주소1.0001.0001.0001.0001.0001.000
대표자0.9731.0000.0001.0001.0000.951
전화번호0.9781.0000.9001.0000.9511.000
2023-12-13T01:53:48.337939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면
연번1.0000.320
읍면0.3201.000

Missing values

2023-12-13T01:53:45.166438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:53:45.293663image/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

연번업체명읍면주소대표자전화번호
01금남농업협동조합금남면경상남도 하동군 금남면 제먼당길91최강호055-883-8300
12금남농협고남지점금남면경상남도 하동군 금남면 섬진강대로961최강호055-883-8304
23금남농협금성지점금성면경상남도 하동군 금성면 신도길 127최강호055-883-8306
34금성농약사금성면경상남도 하동군 금성면 금성중앙길 75윤성재055-884-7833
45금오농업협동조합양보면경상남도 하동군 양보면 진양로 739조상석055-882-7675
56금오농협진교지점진교면경상남도 하동군 진교면 진교중앙길 16조상석055-882-4050
67대흥농약사하동읍경상남도 하동군 하동읍 시장2길 15-12김기범055-883-8389
78부부원예사하동읍경상남도 하동군 하동읍 경서대로 176김경미055-882-5582
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910양보종묘농약사양보면경상남도 하동군 양보면 진양로 741정옥현055-883-4085
연번업체명읍면주소대표자전화번호
2425하동농협고전지점고전면경상남도 하동군 고전면 하동읍성로 548여근호055-882-5011
2526하동농협적량지소적량면경상남도 하동군 적량면 적량로 114여근호055-884-6691
2627하동농협전도지점고전면경상남도 하동군 고전면 재첩길 5-4여근호055-880-8343
2728하동종묘사하동읍경상남도 하동군 하동읍 시장1길 13김중곤055-884-4535
2829하동흥농종묘사하동읍경상남도 하동군 하동읍 시장1길 11허춘구055-883-3824
2930한진농약사진교면경상남도 하동군 진교면 민다리길 51-2이위식+김말례055-883-3824
3031현대농약종묘사하동읍경상남도 하동군 하동읍 경서대로 159강정숙055-883-8268
3132화개악양농업협동조합화개면경상남도 하동군 화개면 화개로 26-1임종갑055-883-4235
3233화개악양농협악양지점악양면경상남도 하동군 악양면 악양서로 347임종갑055-883-5888
3334횡천농협삼개리지소옥종면경상남도 하동군 옥종면 돌고지로 1113박한균055-884-0406