Overview

Dataset statistics

Number of variables6
Number of observations45
Missing cells4
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory52.9 B

Variable types

Categorical1
Text3
Numeric2

Dataset

Description경기도 평택시 농약판매업소 현황에 대한 데이터로 농약판매업소 등록 구분, 법인(상호)명, 소재지도로명주소, 전화번호, 위도, 경도 등의 정보를 제공합니다.※문의 : 평택시청 농업정책과(031-8024-3621)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15043114/fileData.do

Alerts

농약판매업소 등록 구분 has constant value ""Constant
전화번호 has 4 (8.9%) missing valuesMissing

Reproduction

Analysis started2024-03-16 04:12:01.087621
Analysis finished2024-03-16 04:12:03.108538
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농약판매업소 등록 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
판매업
45 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
판매업 45
100.0%

Length

2024-03-16T13:12:03.242802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:03.489684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매업 45
100.0%

법인(상호)명
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-16T13:12:03.911545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.1111111
Min length2

Characters and Unicode

Total characters320
Distinct characters101
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

Unique43 ?
Unique (%)95.6%

Sample

1st row(주)서광그린
2nd row농업회사법인 투엠바이오(주)
3rd row농업회사법인한국농약농자재한국농약농자재
4th row라이빅
5th row복기농예사
ValueCountFrequency (%)
제일농약사 2
 
4.3%
종신물산(주 1
 
2.2%
평택농업협동조합 1
 
2.2%
㈜딱따구리나무병원 1
 
2.2%
철영농약사 1
 
2.2%
청북농약사 1
 
2.2%
크로바농약사 1
 
2.2%
팽성농업협동조합 1
 
2.2%
팽성농업협동조합본정지점 1
 
2.2%
평택원예농업협동조합 1
 
2.2%
Other values (35) 35
76.1%
2024-03-16T13:12:04.869225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 41
 
12.8%
사 18
 
5.6%
약 15
 
4.7%
협 13
 
4.1%
업 11
 
3.4%
동 10
 
3.1%
합 10
 
3.1%
조 9
 
2.8%
점 8
 
2.5%
지 8
 
2.5%
Other values (91) 177
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 312
97.5%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Space Separator 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 41
 
13.1%
사 18
 
5.8%
약 15
 
4.8%
협 13
 
4.2%
업 11
 
3.5%
동 10
 
3.2%
합 10
 
3.2%
조 9
 
2.9%
점 8
 
2.6%
지 8
 
2.6%
Other values (87) 169
54.2%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
97.8%
Common 7
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 41
 
13.1%
사 18
 
5.8%
약 15
 
4.8%
협 13
 
4.2%
업 11
 
3.5%
동 10
 
3.2%
합 10
 
3.2%
조 9
 
2.9%
점 8
 
2.6%
지 8
 
2.6%
Other values (88) 170
54.3%
Common
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 312
97.5%
ASCII 7
 
2.2%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 41
 
13.1%
사 18
 
5.8%
약 15
 
4.8%
협 13
 
4.2%
업 11
 
3.5%
동 10
 
3.2%
합 10
 
3.2%
조 9
 
2.9%
점 8
 
2.6%
지 8
 
2.6%
Other values (87) 169
54.2%
ASCII
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
1
 
14.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-16T13:12:05.200703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.822222
Min length16

Characters and Unicode

Total characters937
Distinct characters74
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row경기도 평택시 진위면 진위로 65-107
2nd row경기도 평택시 안중읍 학현길 35-20
3rd row경기도 평택시 안중읍 안중로 18번길 54-1
4th row경기도 평택시 진위면 진위서로 54
5th row경기도 평택시 통복시장로47번길 21
ValueCountFrequency (%)
경기도 45
20.7%
평택시 45
20.7%
안중읍 9
 
4.1%
진위면 7
 
3.2%
팽성읍 3
 
1.4%
청북읍 3
 
1.4%
안중로 3
 
1.4%
24 2
 
0.9%
통복동 2
 
0.9%
3 2
 
0.9%
Other values (87) 96
44.2%
2024-03-16T13:12:05.684813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
22.4%
시 50
 
5.3%
경 46
 
4.9%
평 46
 
4.9%
택 46
 
4.9%
기 46
 
4.9%
도 45
 
4.8%
1 38
 
4.1%
로 31
 
3.3%
2 25
 
2.7%
Other values (64) 354
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
58.5%
Space Separator 210
 
22.4%
Decimal Number 161
 
17.2%
Dash Punctuation 15
 
1.6%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 50
 
9.1%
경 46
 
8.4%
평 46
 
8.4%
택 46
 
8.4%
기 46
 
8.4%
도 45
 
8.2%
로 31
 
5.7%
길 20
 
3.6%
중 17
 
3.1%
읍 17
 
3.1%
Other values (50) 184
33.6%
Decimal Number
ValueCountFrequency (%)
1 38
23.6%
2 25
15.5%
4 19
11.8%
6 13
 
8.1%
3 13
 
8.1%
7 12
 
7.5%
0 12
 
7.5%
9 11
 
6.8%
5 9
 
5.6%
8 9
 
5.6%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 548
58.5%
Common 388
41.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 50
 
9.1%
경 46
 
8.4%
평 46
 
8.4%
택 46
 
8.4%
기 46
 
8.4%
도 45
 
8.2%
로 31
 
5.7%
길 20
 
3.6%
중 17
 
3.1%
읍 17
 
3.1%
Other values (50) 184
33.6%
Common
ValueCountFrequency (%)
210
54.1%
1 38
 
9.8%
2 25
 
6.4%
4 19
 
4.9%
- 15
 
3.9%
6 13
 
3.4%
3 13
 
3.4%
7 12
 
3.1%
0 12
 
3.1%
9 11
 
2.8%
Other values (3) 20
 
5.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 548
58.5%
ASCII 389
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
54.0%
1 38
 
9.8%
2 25
 
6.4%
4 19
 
4.9%
- 15
 
3.9%
6 13
 
3.3%
3 13
 
3.3%
7 12
 
3.1%
0 12
 
3.1%
9 11
 
2.8%
Other values (4) 21
 
5.4%
Hangul
ValueCountFrequency (%)
시 50
 
9.1%
경 46
 
8.4%
평 46
 
8.4%
택 46
 
8.4%
기 46
 
8.4%
도 45
 
8.2%
로 31
 
5.7%
길 20
 
3.6%
중 17
 
3.1%
읍 17
 
3.1%
Other values (50) 184
33.6%

위도
Real number (ℝ)

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.019983
Minimum36.937424
Maximum37.108413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-16T13:12:05.876334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.937424
5-th percentile36.953451
Q136.988292
median36.997027
Q337.058591
95-th percentile37.100894
Maximum37.108413
Range0.170989
Interquartile range (IQR)0.070299

Descriptive statistics

Standard deviation0.048557715
Coefficient of variation (CV)0.0013116623
Kurtosis-0.92491019
Mean37.019983
Median Absolute Deviation (MAD)0.019607
Skewness0.50437303
Sum1665.8992
Variance0.0023578517
MonotonicityNot monotonic
2024-03-16T13:12:06.059964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
37.100894 2
 
4.4%
37.092057 1
 
2.2%
37.081572 1
 
2.2%
37.041004 1
 
2.2%
36.985914 1
 
2.2%
36.965045 1
 
2.2%
36.950552 1
 
2.2%
36.9958 1
 
2.2%
37.015161 1
 
2.2%
36.996079 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
36.937424 1
2.2%
36.942364 1
2.2%
36.950552 1
2.2%
36.965045 1
2.2%
36.975873 1
2.2%
36.97742 1
2.2%
36.97889 1
2.2%
36.983211 1
2.2%
36.984156 1
2.2%
36.985914 1
2.2%
ValueCountFrequency (%)
37.108413 1
2.2%
37.108011 1
2.2%
37.100894 2
4.4%
37.100567 1
2.2%
37.092057 1
2.2%
37.08811 1
2.2%
37.08373 1
2.2%
37.081572 1
2.2%
37.08114 1
2.2%
37.06227 1
2.2%

경도
Real number (ℝ)

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01904
Minimum126.8815
Maximum127.13717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-16T13:12:06.228278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.8815
5-th percentile126.91386
Q1126.92926
median127.05483
Q3127.08478
95-th percentile127.10471
Maximum127.13717
Range0.255668
Interquartile range (IQR)0.155523

Descriptive statistics

Standard deviation0.076062394
Coefficient of variation (CV)0.00059882672
Kurtosis-1.4383043
Mean127.01904
Median Absolute Deviation (MAD)0.040253
Skewness-0.40564979
Sum5715.8567
Variance0.0057854878
MonotonicityNot monotonic
2024-03-16T13:12:06.609418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
127.097127 2
 
4.4%
127.069549 1
 
2.2%
127.057406 1
 
2.2%
126.93086 1
 
2.2%
126.92734 1
 
2.2%
127.06521 1
 
2.2%
127.014581 1
 
2.2%
127.088236 1
 
2.2%
127.137168 1
 
2.2%
127.087109 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
126.8815 1
2.2%
126.884346 1
2.2%
126.912224 1
2.2%
126.9204 1
2.2%
126.924055 1
2.2%
126.926297 1
2.2%
126.926435 1
2.2%
126.926899 1
2.2%
126.92734 1
2.2%
126.927455 1
2.2%
ValueCountFrequency (%)
127.137168 1
2.2%
127.1095 1
2.2%
127.1066 1
2.2%
127.097127 2
4.4%
127.0917 1
2.2%
127.09085 1
2.2%
127.088547 1
2.2%
127.088236 1
2.2%
127.087436 1
2.2%
127.087109 1
2.2%

전화번호
Text

MISSING 

Distinct39
Distinct (%)95.1%
Missing4
Missing (%)8.9%
Memory size492.0 B
2024-03-16T13:12:07.047323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.04878
Min length12

Characters and Unicode

Total characters494
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

Unique37 ?
Unique (%)90.2%

Sample

1st row031-665-7994
2nd row031-647-3147
3rd row031-682-2642
4th row031-662-5954
5th row031-652-6661
ValueCountFrequency (%)
031-651-2117 2
 
4.9%
031-682-8676 2
 
4.9%
0507-1344-0295 1
 
2.4%
031-655-6951 1
 
2.4%
031-682-2074 1
 
2.4%
031-655-0388 1
 
2.4%
031-665-7994 1
 
2.4%
031-691-7811 1
 
2.4%
031-374-4404 1
 
2.4%
031-666-6701 1
 
2.4%
Other values (29) 29
70.7%
2024-03-16T13:12:07.571567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.6%
1 79
16.0%
6 70
14.2%
3 63
12.8%
0 59
11.9%
5 35
7.1%
8 31
 
6.3%
2 27
 
5.5%
7 22
 
4.5%
4 18
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 412
83.4%
Dash Punctuation 82
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 79
19.2%
6 70
17.0%
3 63
15.3%
0 59
14.3%
5 35
8.5%
8 31
 
7.5%
2 27
 
6.6%
7 22
 
5.3%
4 18
 
4.4%
9 8
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 494
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.6%
1 79
16.0%
6 70
14.2%
3 63
12.8%
0 59
11.9%
5 35
7.1%
8 31
 
6.3%
2 27
 
5.5%
7 22
 
4.5%
4 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.6%
1 79
16.0%
6 70
14.2%
3 63
12.8%
0 59
11.9%
5 35
7.1%
8 31
 
6.3%
2 27
 
5.5%
7 22
 
4.5%
4 18
 
3.6%

Interactions

2024-03-16T13:12:02.348251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:01.964879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:02.475226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:02.120153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:12:07.754702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인(상호)명소재지도로명주소위도경도전화번호
법인(상호)명1.0000.9960.7430.9690.984
소재지도로명주소0.9961.0001.0001.0000.984
위도0.7431.0001.0000.6280.951
경도0.9691.0000.6281.0000.762
전화번호0.9840.9840.9510.7621.000
2024-03-16T13:12:08.262797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.500
경도0.5001.000

Missing values

2024-03-16T13:12:02.753988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:12:03.013105image/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

농약판매업소 등록 구분법인(상호)명소재지도로명주소위도경도전화번호
0판매업(주)서광그린경기도 평택시 진위면 진위로 65-10737.100894127.097127031-665-7994
1판매업농업회사법인 투엠바이오(주)경기도 평택시 안중읍 학현길 35-2036.995112126.912224031-647-3147
2판매업농업회사법인한국농약농자재한국농약농자재경기도 평택시 안중읍 안중로 18번길 54-136.984156126.926297031-682-2642
3판매업라이빅경기도 평택시 진위면 진위서로 5437.108011127.068859031-662-5954
4판매업복기농예사경기도 평택시 통복시장로47번길 2136.998828127.084784031-652-6661
5판매업새농상회경기도 평택시 둔포중앙로 29-1436.937424127.045744031-691-3354
6판매업서울농약사경기도 평택시 통복로 49-136.996455127.083195031-655-7177
7판매업서울영농자재상사경기도 평택시 안중읍 안현로서2길 2436.988292126.929261031-681-0807
8판매업세계농약사경기도 평택시 오성면 숙성시장길 66-137.008175126.985141031-683-8381
9판매업송탄농약플라워경기도 평택시 탄현로326번길 737.08114127.056343031-662-7476
농약판매업소 등록 구분법인(상호)명소재지도로명주소위도경도전화번호
35판매업평화종묘사경기도 평택시 통복동 98-636.99596127.083347031-655-2380
36판매업한농종묘사경기도 평택시 통복동 110-136.995325127.082815031-655-6951
37판매업다온농약사경기도 평택시 안중읍 송담길 3 101호36.97889126.93920507-1344-0295
38판매업현대농약사경기도 평택시 안중읍 안중북로 18-136.992745126.926435031-682-8676
39판매업흥농종묘경기도 평택시 중앙1로 7436.997027127.09085031-655-0388
40판매업힐팜경기도 평택시 팽성읍 노성1길 5 1층36.942364127.033648<NA>
41판매업백호종합건기경기도 평택시 포승읍 포승남로 487-836.97742126.8815031-683-0505
42판매업안성농약경기도 평택시 진위면 삼남로 687-11 B동37.08373127.0917<NA>
43판매업우형아그로경기도 평택시 진위면 은산4길 32-3237.08811127.1095<NA>
44판매업농민사랑경기도 평택시 청북읍 서해로 196637.06227126.9204<NA>