Overview

Dataset statistics

Number of variables10
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory85.7 B

Variable types

Numeric3
Text4
Categorical3

Dataset

Description경상남도 김해시 농약판매업체 현황에 대한 데이터로 상호,도,군,도로명주소,지번주소,위도,경도 등의 항목을 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15092291/fileData.do

Alerts

도 has constant value ""Constant
군 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
상호 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-06 12:55:40.815619
Analysis finished2024-01-06 12:55:46.280082
Duration5.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-01-06T12:55:46.604855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2024-01-06T12:55:47.231880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

상호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-01-06T12:55:47.975226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length7.1836735
Min length4

Characters and Unicode

Total characters352
Distinct characters105
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row흥농종묘농약사
2nd row동아종합원예사
3rd row신우농약사
4th row가야농약종묘사
5th row대동농협농약사
ValueCountFrequency (%)
흥농종묘농약사 1
 
2.0%
대동농약종묘사 1
 
2.0%
주식회사윈터그린 1
 
2.0%
진례농업협동조합 1
 
2.0%
진례농약종묘사 1
 
2.0%
정진농약종묘사 1
 
2.0%
풍년농약종묘사 1
 
2.0%
현대종묘농약사 1
 
2.0%
대풍농약종묘사 1
 
2.0%
진영농협서부지점농약사 1
 
2.0%
Other values (39) 39
79.6%
2024-01-06T12:55:49.240887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 47
 
13.4%
사 34
 
9.7%
약 31
 
8.8%
종 24
 
6.8%
묘 22
 
6.2%
동 11
 
3.1%
협 11
 
3.1%
원 8
 
2.3%
대 7
 
2.0%
합 6
 
1.7%
Other values (95) 151
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
98.3%
Other Symbol 2
 
0.6%
Uppercase Letter 2
 
0.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 47
 
13.6%
사 34
 
9.8%
약 31
 
9.0%
종 24
 
6.9%
묘 22
 
6.4%
동 11
 
3.2%
협 11
 
3.2%
원 8
 
2.3%
대 7
 
2.0%
합 6
 
1.7%
Other values (90) 145
41.9%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
K 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
98.9%
Common 2
 
0.6%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 47
 
13.5%
사 34
 
9.8%
약 31
 
8.9%
종 24
 
6.9%
묘 22
 
6.3%
동 11
 
3.2%
협 11
 
3.2%
원 8
 
2.3%
대 7
 
2.0%
합 6
 
1.7%
Other values (91) 147
42.2%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%
Latin
ValueCountFrequency (%)
N 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
98.3%
ASCII 4
 
1.1%
None 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 47
 
13.6%
사 34
 
9.8%
약 31
 
9.0%
종 24
 
6.9%
묘 22
 
6.4%
동 11
 
3.2%
협 11
 
3.2%
원 8
 
2.3%
대 7
 
2.0%
합 6
 
1.7%
Other values (90) 145
41.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%
ASCII
ValueCountFrequency (%)
) 1
25.0%
N 1
25.0%
K 1
25.0%
( 1
25.0%

도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
경남
49 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남
2nd row경남
3rd row경남
4th row경남
5th row경남

Common Values

ValueCountFrequency (%)
경남 49
100.0%

Length

2024-01-06T12:55:50.080340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T12:55:50.685507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 49
100.0%

군
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
김해시
49 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김해시
2nd row김해시
3rd row김해시
4th row김해시
5th row김해시

Common Values

ValueCountFrequency (%)
김해시 49
100.0%

Length

2024-01-06T12:55:51.007299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T12:55:51.307924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시 49
100.0%

도로명주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-01-06T12:55:51.816319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length20.979592
Min length15

Characters and Unicode

Total characters1028
Distinct characters60
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 (%)100.0%

Sample

1st row경상남도 김해시 가락로 6-1
2nd row경상남도 김해시 가락로 14
3rd row경상남도 김해시 가락로23번길 11 1층
4th row경상남도 김해시 가락로 11-1
5th row경상남도 김해시 대동면 동남로49번길 87
ValueCountFrequency (%)
경상남도 50
21.2%
김해시 50
21.2%
대동면 8
 
3.4%
진영읍 7
 
3.0%
대동로 4
 
1.7%
가락로 4
 
1.7%
주촌면 4
 
1.7%
진영로 3
 
1.3%
진례로 3
 
1.3%
한림면 3
 
1.3%
Other values (82) 100
42.4%
2024-01-06T12:55:53.338586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
18.2%
상 54
 
5.3%
남 52
 
5.1%
경 50
 
4.9%
도 50
 
4.9%
김 50
 
4.9%
해 50
 
4.9%
시 50
 
4.9%
로 47
 
4.6%
1 46
 
4.5%
Other values (50) 392
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
61.4%
Decimal Number 199
 
19.4%
Space Separator 187
 
18.2%
Dash Punctuation 11
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 54
 
8.6%
남 52
 
8.2%
경 50
 
7.9%
도 50
 
7.9%
김 50
 
7.9%
해 50
 
7.9%
시 50
 
7.9%
로 47
 
7.4%
면 22
 
3.5%
동 22
 
3.5%
Other values (38) 184
29.2%
Decimal Number
ValueCountFrequency (%)
1 46
23.1%
2 28
14.1%
3 24
12.1%
6 22
11.1%
4 19
9.5%
8 16
 
8.0%
0 13
 
6.5%
7 11
 
5.5%
5 10
 
5.0%
9 10
 
5.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 631
61.4%
Common 397
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 54
 
8.6%
남 52
 
8.2%
경 50
 
7.9%
도 50
 
7.9%
김 50
 
7.9%
해 50
 
7.9%
시 50
 
7.9%
로 47
 
7.4%
면 22
 
3.5%
동 22
 
3.5%
Other values (38) 184
29.2%
Common
ValueCountFrequency (%)
187
47.1%
1 46
 
11.6%
2 28
 
7.1%
3 24
 
6.0%
6 22
 
5.5%
4 19
 
4.8%
8 16
 
4.0%
0 13
 
3.3%
- 11
 
2.8%
7 11
 
2.8%
Other values (2) 20
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
61.4%
ASCII 397
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
47.1%
1 46
 
11.6%
2 28
 
7.1%
3 24
 
6.0%
6 22
 
5.5%
4 19
 
4.8%
8 16
 
4.0%
0 13
 
3.3%
- 11
 
2.8%
7 11
 
2.8%
Other values (2) 20
 
5.0%
Hangul
ValueCountFrequency (%)
상 54
 
8.6%
남 52
 
8.2%
경 50
 
7.9%
도 50
 
7.9%
김 50
 
7.9%
해 50
 
7.9%
시 50
 
7.9%
로 47
 
7.4%
면 22
 
3.5%
동 22
 
3.5%
Other values (38) 184
29.2%

지번주소
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-01-06T12:55:54.010867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length23.959184
Min length19

Characters and Unicode

Total characters1174
Distinct characters68
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

Unique47 ?
Unique (%)95.9%

Sample

1st row경상남도 김해시 부원동 606-1번지
2nd row경상남도 김해시 부원동 607-1번지
3rd row경상남도 김해시 부원동 603-9번지 1층
4th row경상남도 김해시 부원동 604-7번지
5th row경상남도 김해시 대동면 초정리 139-1번지
ValueCountFrequency (%)
경상남도 49
21.2%
김해시 49
21.2%
대동면 8
 
3.5%
진영읍 7
 
3.0%
부원동 5
 
2.2%
무계동 4
 
1.7%
흥동 4
 
1.7%
여래리 4
 
1.7%
주촌면 4
 
1.7%
주동리 3
 
1.3%
Other values (74) 94
40.7%
2024-01-06T12:55:55.529789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
19.3%
상 52
 
4.4%
경 50
 
4.3%
남 50
 
4.3%
도 50
 
4.3%
김 50
 
4.3%
해 50
 
4.3%
시 50
 
4.3%
지 50
 
4.3%
번 49
 
4.2%
Other values (58) 497
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
58.1%
Space Separator 226
 
19.3%
Decimal Number 221
 
18.8%
Dash Punctuation 45
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 52
 
7.6%
경 50
 
7.3%
남 50
 
7.3%
도 50
 
7.3%
김 50
 
7.3%
해 50
 
7.3%
시 50
 
7.3%
지 50
 
7.3%
번 49
 
7.2%
동 33
 
4.8%
Other values (46) 198
29.0%
Decimal Number
ValueCountFrequency (%)
1 40
18.1%
2 30
13.6%
3 25
11.3%
7 25
11.3%
4 20
9.0%
0 20
9.0%
9 18
8.1%
6 15
 
6.8%
5 15
 
6.8%
8 13
 
5.9%
Space Separator
ValueCountFrequency (%)
226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
58.1%
Common 492
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 52
 
7.6%
경 50
 
7.3%
남 50
 
7.3%
도 50
 
7.3%
김 50
 
7.3%
해 50
 
7.3%
시 50
 
7.3%
지 50
 
7.3%
번 49
 
7.2%
동 33
 
4.8%
Other values (46) 198
29.0%
Common
ValueCountFrequency (%)
226
45.9%
- 45
 
9.1%
1 40
 
8.1%
2 30
 
6.1%
3 25
 
5.1%
7 25
 
5.1%
4 20
 
4.1%
0 20
 
4.1%
9 18
 
3.7%
6 15
 
3.0%
Other values (2) 28
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
58.1%
ASCII 492
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
45.9%
- 45
 
9.1%
1 40
 
8.1%
2 30
 
6.1%
3 25
 
5.1%
7 25
 
5.1%
4 20
 
4.1%
0 20
 
4.1%
9 18
 
3.7%
6 15
 
3.0%
Other values (2) 28
 
5.7%
Hangul
ValueCountFrequency (%)
상 52
 
7.6%
경 50
 
7.3%
남 50
 
7.3%
도 50
 
7.3%
김 50
 
7.3%
해 50
 
7.3%
시 50
 
7.3%
지 50
 
7.3%
번 49
 
7.2%
동 33
 
4.8%
Other values (46) 198
29.0%

위도
Real number (ℝ)

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.254121
Minimum35.196041
Maximum35.373799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-01-06T12:55:56.217834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.196041
5-th percentile35.199959
Q135.222157
median35.235968
Q335.300708
95-th percentile35.330895
Maximum35.373799
Range0.17775739
Interquartile range (IQR)0.0785513

Descriptive statistics

Standard deviation0.046284597
Coefficient of variation (CV)0.0013128848
Kurtosis-0.0072750523
Mean35.254121
Median Absolute Deviation (MAD)0.02445888
Skewness0.90888003
Sum1727.4519
Variance0.002142264
MonotonicityNot monotonic
2024-01-06T12:55:57.005291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
35.25663319 2
 
4.1%
35.22714148 1
 
2.0%
35.25012748 1
 
2.0%
35.24780821 1
 
2.0%
35.24699304 1
 
2.0%
35.30336104 1
 
2.0%
35.30480695 1
 
2.0%
35.30265846 1
 
2.0%
35.30467387 1
 
2.0%
35.3040972 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
35.19604125 1
2.0%
35.19853602 1
2.0%
35.19983048 1
2.0%
35.20015233 1
2.0%
35.20063809 1
2.0%
35.20743643 1
2.0%
35.21090624 1
2.0%
35.21096596 1
2.0%
35.21150939 1
2.0%
35.2165309 1
2.0%
ValueCountFrequency (%)
35.37379864 1
2.0%
35.37317943 1
2.0%
35.3349853 1
2.0%
35.3247592 1
2.0%
35.32212848 1
2.0%
35.30852702 1
2.0%
35.30480695 1
2.0%
35.30467387 1
2.0%
35.3040972 1
2.0%
35.30336104 1
2.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.84709
Minimum128.72676
Maximum128.98991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-01-06T12:55:57.937064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.72676
5-th percentile128.73364
Q1128.8032
median128.84572
Q3128.88279
95-th percentile128.98288
Maximum128.98991
Range0.2631528
Interquartile range (IQR)0.0795911

Descriptive statistics

Standard deviation0.075323399
Coefficient of variation (CV)0.00058459525
Kurtosis-0.72534411
Mean128.84709
Median Absolute Deviation (MAD)0.0425149
Skewness0.16101665
Sum6313.5076
Variance0.0056736144
MonotonicityNot monotonic
2024-01-06T12:55:58.954429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
128.8204174 2
 
4.1%
128.8827916 1
 
2.0%
128.7478383 1
 
2.0%
128.7482675 1
 
2.0%
128.7488973 1
 
2.0%
128.7307025 1
 
2.0%
128.7345531 1
 
2.0%
128.7350724 1
 
2.0%
128.7267557 1
 
2.0%
128.7356463 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
128.7267557 1
2.0%
128.7307025 1
2.0%
128.733033 1
2.0%
128.7345531 1
2.0%
128.7350724 1
2.0%
128.7356463 1
2.0%
128.7478383 1
2.0%
128.7482675 1
2.0%
128.7488973 1
2.0%
128.7614096 1
2.0%
ValueCountFrequency (%)
128.9899085 1
2.0%
128.9847315 1
2.0%
128.9844743 1
2.0%
128.9804885 1
2.0%
128.9505035 1
2.0%
128.9493494 1
2.0%
128.9491141 1
2.0%
128.9326163 1
2.0%
128.9321262 1
2.0%
128.9263481 1
2.0%

전화번호
Text

Distinct39
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-01-06T12:55:59.529960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.204082
Min length12

Characters and Unicode

Total characters598
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

Unique37 ?
Unique (%)75.5%

Sample

1st row055-332-5060
2nd row055-335-5300
3rd row055-328-6113
4th row010-****-****
5th row055-335-7716
ValueCountFrequency (%)
010 10
 
20.4%
055-331-3105 2
 
4.1%
055-312-7316 1
 
2.0%
055-323-3933 1
 
2.0%
055-342-8080 1
 
2.0%
055-342-7441 1
 
2.0%
055-332-5060 1
 
2.0%
055-343-6106 1
 
2.0%
055-345-3641 1
 
2.0%
055-345-5056 1
 
2.0%
Other values (29) 29
59.2%
2024-01-06T12:56:01.598611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 104
17.4%
- 98
16.4%
0 85
14.2%
* 80
13.4%
3 78
13.0%
1 40
 
6.7%
4 28
 
4.7%
2 27
 
4.5%
6 21
 
3.5%
7 18
 
3.0%
Other values (2) 19
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
70.2%
Dash Punctuation 98
 
16.4%
Other Punctuation 80
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 104
24.8%
0 85
20.2%
3 78
18.6%
1 40
 
9.5%
4 28
 
6.7%
2 27
 
6.4%
6 21
 
5.0%
7 18
 
4.3%
8 14
 
3.3%
9 5
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Other Punctuation
ValueCountFrequency (%)
* 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 104
17.4%
- 98
16.4%
0 85
14.2%
* 80
13.4%
3 78
13.0%
1 40
 
6.7%
4 28
 
4.7%
2 27
 
4.5%
6 21
 
3.5%
7 18
 
3.0%
Other values (2) 19
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 104
17.4%
- 98
16.4%
0 85
14.2%
* 80
13.4%
3 78
13.0%
1 40
 
6.7%
4 28
 
4.7%
2 27
 
4.5%
6 21
 
3.5%
7 18
 
3.0%
Other values (2) 19
 
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-26
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-26
2nd row2023-12-26
3rd row2023-12-26
4th row2023-12-26
5th row2023-12-26

Common Values

ValueCountFrequency (%)
2023-12-26 49
100.0%

Length

2024-01-06T12:56:03.485713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T12:56:03.868677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-26 49
100.0%

Interactions

2024-01-06T12:55:43.930592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:41.799396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:42.902625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:44.270853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:42.192164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:43.302669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:44.629874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:42.583284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:55:43.621612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-06T12:56:04.050680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호도로명주소지번주소위도경도전화번호
연번1.0001.0001.0001.0000.6880.8680.805
상호1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.000
위도0.6881.0001.0001.0001.0000.8300.916
경도0.8681.0001.0001.0000.8301.0000.839
전화번호0.8051.0001.0001.0000.9160.8391.000
2024-01-06T12:56:04.368961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.061-0.587
위도0.0611.000-0.315
경도-0.587-0.3151.000

Missing values

2024-01-06T12:55:45.123996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-06T12:55:45.934697image/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

연번상호도군도로명주소지번주소위도경도전화번호데이터기준일자
01흥농종묘농약사경남김해시경상남도 김해시 가락로 6-1경상남도 김해시 부원동 606-1번지35.227141128.882792055-332-50602023-12-26
12동아종합원예사경남김해시경상남도 김해시 가락로 14경상남도 김해시 부원동 607-1번지35.22771128.882688055-335-53002023-12-26
23신우농약사경남김해시경상남도 김해시 가락로23번길 11 1층경상남도 김해시 부원동 603-9번지 1층35.228325128.881179055-328-61132023-12-26
34가야농약종묘사경남김해시경상남도 김해시 가락로 11-1경상남도 김해시 부원동 604-7번지35.227595128.882379010-****-****2023-12-26
45대동농협농약사경남김해시경상남도 김해시 대동면 동남로49번길 87경상남도 김해시 대동면 초정리 139-1번지35.235909128.984732055-335-77162023-12-26
56대동농협대중지점농약사경남김해시경상남도 김해시 대동면 대동로 282경상남도 김해시 대동면 주동리 378-3번지35.235417128.949349055-331-65902023-12-26
67덕산원예농약사경남김해시경상남도 김해시 대동면 동북로 53경상남도 김해시 대동면 덕산리 629-3번지35.281274128.980489055-321-52522023-12-26
78연안농약종묘사경남김해시경상남도 김해시 경상남도 김해시 대동면 동남로 49번길 95경상남도 김해시 대동면 초정리 197-5번지 경상남도김해시35.236443128.984474055-335-51622023-12-26
89제이에이치케미칼경남김해시경상남도 김해시 대동면 대동로 63-1경상남도 김해시 대동면 수안리 361-5번지35.224802128.932616010-****-****2023-12-26
910김해대동농약종묘사경남김해시경상남도 김해시 대동면 대동로 283경상남도 김해시 대동면 주동리 404-1번지35.235968128.949114010-****-****2023-12-26
연번상호도군도로명주소지번주소위도경도전화번호데이터기준일자
3940풍류종묘농약사경남김해시경상남도 김해시 칠산로441번길 6-8경상남도 김해시 흥동 912-4번지35.211509128.852912055-323-13772023-12-26
4041건국영농경남김해시경상남도 김해시 칠산로237번길 6-26경상남도 김해시 화목동 696-8번지35.196041128.845217055-323-39332023-12-26
4142㈜포레나무병원경남김해시경상남도 김해시 칠산로 397 204호경상남도 김해시 화목동 583-11번지 204호35.207436128.852716055-312-73162023-12-26
4243중앙농약사경남김해시경상남도 김해시 칠산로 441번길 1 108호경상남도 김해시 흥동 911-7번지 108호35.210966128.85328010-****-****2023-12-26
4344흥농종묘농약경남김해시경상남도 김해시 한림면 한림로 388경상남도 김해시 한림면 장방리 458-8번지35.322128128.802999055-342-74412023-12-26
4445한림농협시산지소경남김해시경상남도 김해시 한림면 한림로 570경상남도 김해시 한림면 장방리 1462번지35.334985128.791631055-342-80802023-12-26
4546한림전원농약종묘사경남김해시경상남도 김해시 한림면 한림로398번길 19경상남도 김해시 한림면 장방리 462-45번지35.324759128.803201055-345-08572023-12-26
4647다숨피앤시경남김해시경상남도 김해시 외동 1259-3 801호경상남도 김해시 외동 1259-3번지 801호35.233906128.867308010-****-****2023-12-26
4748미래조경자재농약사경남김해시경상남도 김해시 금관대로 1041번길 66-1경상남도 김해시 풍유동 973번지35.2218128.845715010-****-****2023-12-26
4849김해농약종묘사경남김해시경상남도 김해시 가락로 12경상남도 김해시 부원동 607-24번지35.227511128.882741010-****-****2023-12-26