Overview

Dataset statistics

Number of variables10
Number of observations128
Missing cells56
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory84.0 B

Variable types

Categorical3
Text3
Numeric3
DateTime1

Dataset

Description가금류농장명, 축종명, 사육두수, 소재지주소 등 기준에 따라 분류한 경기도 파주시 내 가금류농장 현황에 대한 정보( 또는 데이터)를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15037573/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상세구분 is highly overall correlated with 축종명High correlation
축종명 is highly overall correlated with 상세구분High correlation
축종명 is highly imbalanced (82.6%)Imbalance
소재지도로명주소 has 56 (43.8%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:27:22.118210
Analysis finished2023-12-11 23:27:23.737383
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
파주시
128 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 128
100.0%

Length

2023-12-12T08:27:23.798132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:23.879179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 128
100.0%
Distinct116
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:27:24.093565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.421875
Min length3

Characters and Unicode

Total characters566
Distinct characters146
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)82.0%

Sample

1st row새말농장
2nd row파주농장
3rd row이천농장
4th row수영농장
5th row희망농장
ValueCountFrequency (%)
소래축산 3
 
2.3%
제일농장 2
 
1.5%
삼도농장 2
 
1.5%
오복농장 2
 
1.5%
대명농장 2
 
1.5%
우리농장 2
 
1.5%
희망농장 2
 
1.5%
수영농장 2
 
1.5%
이천농장 2
 
1.5%
영광농장 2
 
1.5%
Other values (108) 109
83.8%
2023-12-12T08:27:24.471496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
20.0%
110
19.4%
13
 
2.3%
12
 
2.1%
8
 
1.4%
8
 
1.4%
7
 
1.2%
7
 
1.2%
7
 
1.2%
7
 
1.2%
Other values (136) 274
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 559
98.8%
Uppercase Letter 3
 
0.5%
Space Separator 2
 
0.4%
Letter Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
113
20.2%
110
19.7%
13
 
2.3%
12
 
2.1%
8
 
1.4%
8
 
1.4%
7
 
1.3%
7
 
1.3%
7
 
1.3%
7
 
1.3%
Other values (130) 267
47.8%
Uppercase Letter
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 559
98.8%
Latin 5
 
0.9%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
113
20.2%
110
19.7%
13
 
2.3%
12
 
2.1%
8
 
1.4%
8
 
1.4%
7
 
1.3%
7
 
1.3%
7
 
1.3%
7
 
1.3%
Other values (130) 267
47.8%
Latin
ValueCountFrequency (%)
1
20.0%
Z 1
20.0%
M 1
20.0%
D 1
20.0%
1
20.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
98.8%
ASCII 5
 
0.9%
Number Forms 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
113
20.2%
110
19.7%
13
 
2.3%
12
 
2.1%
8
 
1.4%
8
 
1.4%
7
 
1.3%
7
 
1.3%
7
 
1.3%
7
 
1.3%
Other values (130) 267
47.8%
ASCII
ValueCountFrequency (%)
2
40.0%
Z 1
20.0%
M 1
20.0%
D 1
20.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

축종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
123 
오리
 
3
타조
 
2

Length

Max length2
Median length1
Mean length1.0390625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
123
96.1%
오리 3
 
2.3%
타조 2
 
1.6%

Length

2023-12-12T08:27:24.595261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:24.694788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
123
96.1%
오리 3
 
2.3%
타조 2
 
1.6%

상세구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
육계
88 
산란계
34 
<NA>
 
6

Length

Max length4
Median length2
Mean length2.359375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산란계
2nd row육계
3rd row육계
4th row육계
5th row육계

Common Values

ValueCountFrequency (%)
육계 88
68.8%
산란계 34
 
26.6%
<NA> 6
 
4.7%

Length

2023-12-12T08:27:24.793350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:24.914131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 88
68.8%
산란계 34
 
26.6%
na 6
 
4.7%

사육두수
Real number (ℝ)

Distinct70
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17849.859
Minimum0
Maximum150000
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T08:27:25.024658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q11425
median15850
Q325840.5
95-th percentile50000
Maximum150000
Range150000
Interquartile range (IQR)24415.5

Descriptive statistics

Standard deviation19946.264
Coefficient of variation (CV)1.1174465
Kurtosis14.54
Mean17849.859
Median Absolute Deviation (MAD)14150
Skewness2.7643337
Sum2284782
Variance3.9785344 × 108
MonotonicityNot monotonic
2023-12-12T08:27:25.177893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 13
 
10.2%
30000 9
 
7.0%
25000 8
 
6.2%
1000 6
 
4.7%
13000 5
 
3.9%
300 4
 
3.1%
2000 4
 
3.1%
15000 3
 
2.3%
12000 3
 
2.3%
4000 3
 
2.3%
Other values (60) 70
54.7%
ValueCountFrequency (%)
0 1
0.8%
10 1
0.8%
11 1
0.8%
15 1
0.8%
30 1
0.8%
50 1
0.8%
100 2
1.6%
102 1
0.8%
110 1
0.8%
150 2
1.6%
ValueCountFrequency (%)
150000 1
0.8%
80000 1
0.8%
60000 2
1.6%
52930 1
0.8%
52000 1
0.8%
50000 2
1.6%
48000 1
0.8%
41413 1
0.8%
40000 2
1.6%
36516 1
0.8%
Distinct70
Distinct (%)97.2%
Missing56
Missing (%)43.8%
Memory size1.1 KiB
2023-12-12T08:27:25.480708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24.5
Mean length21.569444
Min length13

Characters and Unicode

Total characters1553
Distinct characters118
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

Unique68 ?
Unique (%)94.4%

Sample

1st row경기도 파주시 탄현면 장릉로49번길 8
2nd row경기도 파주시 소라지로 138-59
3rd row경기도 파주시 월롱면 누현2길 76-13
4th row경기도 파주시 월롱면 통일로 1031-77
5th row경기도 파주시 상골길 104-43
ValueCountFrequency (%)
경기도 72
20.7%
파주시 72
20.7%
광탄면 14
 
4.0%
파주읍 10
 
2.9%
적성면 10
 
2.9%
문산읍 8
 
2.3%
탄현면 5
 
1.4%
법원읍 5
 
1.4%
파평면 4
 
1.1%
월롱면 3
 
0.9%
Other values (132) 145
41.7%
2023-12-12T08:27:25.940850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
17.8%
87
 
5.6%
82
 
5.3%
72
 
4.6%
72
 
4.6%
72
 
4.6%
72
 
4.6%
1 62
 
4.0%
53
 
3.4%
3 47
 
3.0%
Other values (108) 658
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 905
58.3%
Decimal Number 333
 
21.4%
Space Separator 276
 
17.8%
Dash Punctuation 39
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
87
 
9.6%
82
 
9.1%
72
 
8.0%
72
 
8.0%
72
 
8.0%
72
 
8.0%
53
 
5.9%
37
 
4.1%
36
 
4.0%
24
 
2.7%
Other values (96) 298
32.9%
Decimal Number
ValueCountFrequency (%)
1 62
18.6%
3 47
14.1%
2 43
12.9%
6 41
12.3%
4 35
10.5%
8 25
7.5%
9 21
 
6.3%
5 21
 
6.3%
7 20
 
6.0%
0 18
 
5.4%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 905
58.3%
Common 648
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
87
 
9.6%
82
 
9.1%
72
 
8.0%
72
 
8.0%
72
 
8.0%
72
 
8.0%
53
 
5.9%
37
 
4.1%
36
 
4.0%
24
 
2.7%
Other values (96) 298
32.9%
Common
ValueCountFrequency (%)
276
42.6%
1 62
 
9.6%
3 47
 
7.3%
2 43
 
6.6%
6 41
 
6.3%
- 39
 
6.0%
4 35
 
5.4%
8 25
 
3.9%
9 21
 
3.2%
5 21
 
3.2%
Other values (2) 38
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 905
58.3%
ASCII 648
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
42.6%
1 62
 
9.6%
3 47
 
7.3%
2 43
 
6.6%
6 41
 
6.3%
- 39
 
6.0%
4 35
 
5.4%
8 25
 
3.9%
9 21
 
3.2%
5 21
 
3.2%
Other values (2) 38
 
5.9%
Hangul
ValueCountFrequency (%)
87
 
9.6%
82
 
9.1%
72
 
8.0%
72
 
8.0%
72
 
8.0%
72
 
8.0%
53
 
5.9%
37
 
4.1%
36
 
4.0%
24
 
2.7%
Other values (96) 298
32.9%
Distinct126
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:27:26.288631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length21.929688
Min length16

Characters and Unicode

Total characters2807
Distinct characters105
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)96.9%

Sample

1st row경기도 파주시 탄현면 갈현리 814번지 8호
2nd row경기도 파주시 문산읍 이천리 61번지
3rd row경기도 파주시 문산읍 이천리 178번지 1호
4th row경기도 파주시 연다산동 407번지
5th row경기도 파주시 월롱면 위전리 521번지 1호
ValueCountFrequency (%)
경기도 128
18.4%
파주시 128
18.4%
1호 24
 
3.5%
문산읍 23
 
3.3%
광탄면 23
 
3.3%
2호 20
 
2.9%
적성면 17
 
2.4%
파주읍 13
 
1.9%
법원읍 13
 
1.9%
장산리 7
 
1.0%
Other values (195) 298
42.9%
2023-12-12T08:27:26.739058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
20.2%
146
 
5.2%
141
 
5.0%
135
 
4.8%
130
 
4.6%
128
 
4.6%
128
 
4.6%
128
 
4.6%
128
 
4.6%
110
 
3.9%
Other values (95) 1067
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1816
64.7%
Space Separator 566
 
20.2%
Decimal Number 425
 
15.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
146
 
8.0%
141
 
7.8%
135
 
7.4%
130
 
7.2%
128
 
7.0%
128
 
7.0%
128
 
7.0%
128
 
7.0%
110
 
6.1%
66
 
3.6%
Other values (84) 576
31.7%
Decimal Number
ValueCountFrequency (%)
1 89
20.9%
2 69
16.2%
3 53
12.5%
4 52
12.2%
9 30
 
7.1%
5 30
 
7.1%
7 29
 
6.8%
6 26
 
6.1%
0 25
 
5.9%
8 22
 
5.2%
Space Separator
ValueCountFrequency (%)
566
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1816
64.7%
Common 991
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
146
 
8.0%
141
 
7.8%
135
 
7.4%
130
 
7.2%
128
 
7.0%
128
 
7.0%
128
 
7.0%
128
 
7.0%
110
 
6.1%
66
 
3.6%
Other values (84) 576
31.7%
Common
ValueCountFrequency (%)
566
57.1%
1 89
 
9.0%
2 69
 
7.0%
3 53
 
5.3%
4 52
 
5.2%
9 30
 
3.0%
5 30
 
3.0%
7 29
 
2.9%
6 26
 
2.6%
0 25
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1816
64.7%
ASCII 991
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
57.1%
1 89
 
9.0%
2 69
 
7.0%
3 53
 
5.3%
4 52
 
5.2%
9 30
 
3.0%
5 30
 
3.0%
7 29
 
2.9%
6 26
 
2.6%
0 25
 
2.5%
Hangul
ValueCountFrequency (%)
146
 
8.0%
141
 
7.8%
135
 
7.4%
130
 
7.2%
128
 
7.0%
128
 
7.0%
128
 
7.0%
128
 
7.0%
110
 
6.1%
66
 
3.6%
Other values (84) 576
31.7%

위도
Real number (ℝ)

Distinct126
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.839492
Minimum37.705376
Maximum38.00484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T08:27:26.906172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.705376
5-th percentile37.730042
Q137.785852
median37.831886
Q337.894029
95-th percentile37.974379
Maximum38.00484
Range0.29946386
Interquartile range (IQR)0.10817674

Descriptive statistics

Standard deviation0.077520582
Coefficient of variation (CV)0.0020486687
Kurtosis-0.85911437
Mean37.839492
Median Absolute Deviation (MAD)0.058452635
Skewness0.27664951
Sum4843.4549
Variance0.0060094407
MonotonicityNot monotonic
2023-12-12T08:27:27.052594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.87813358 2
 
1.6%
37.81203204 2
 
1.6%
37.76995032 1
 
0.8%
37.80044822 1
 
0.8%
37.83082834 1
 
0.8%
37.96157109 1
 
0.8%
37.78666908 1
 
0.8%
37.79870138 1
 
0.8%
37.79992362 1
 
0.8%
37.89796289 1
 
0.8%
Other values (116) 116
90.6%
ValueCountFrequency (%)
37.70537591 1
0.8%
37.70567589 1
0.8%
37.71154056 1
0.8%
37.71209945 1
0.8%
37.7121493 1
0.8%
37.71978856 1
0.8%
37.7294028 1
0.8%
37.73123029 1
0.8%
37.73528583 1
0.8%
37.73883703 1
0.8%
ValueCountFrequency (%)
38.00483977 1
0.8%
37.99473197 1
0.8%
37.98793069 1
0.8%
37.98751361 1
0.8%
37.98453432 1
0.8%
37.97728836 1
0.8%
37.97445591 1
0.8%
37.97423504 1
0.8%
37.97221044 1
0.8%
37.97026563 1
0.8%

경도
Real number (ℝ)

Distinct126
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.82803
Minimum126.68171
Maximum126.98499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T08:27:27.221436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68171
5-th percentile126.71286
Q1126.76138
median126.82649
Q3126.88193
95-th percentile126.9677
Maximum126.98499
Range0.3032735
Interquartile range (IQR)0.12055155

Descriptive statistics

Standard deviation0.076873576
Coefficient of variation (CV)0.00060612452
Kurtosis-0.8255109
Mean126.82803
Median Absolute Deviation (MAD)0.05761945
Skewness0.17340143
Sum16233.987
Variance0.0059095467
MonotonicityNot monotonic
2023-12-12T08:27:27.399946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7622562 2
 
1.6%
126.80609 2
 
1.6%
126.7148474 1
 
0.8%
126.7264922 1
 
0.8%
126.8076758 1
 
0.8%
126.9106307 1
 
0.8%
126.7488735 1
 
0.8%
126.8080897 1
 
0.8%
126.8418657 1
 
0.8%
126.780485 1
 
0.8%
Other values (116) 116
90.6%
ValueCountFrequency (%)
126.6817147 1
0.8%
126.6841867 1
0.8%
126.7020746 1
0.8%
126.702636 1
0.8%
126.7051283 1
0.8%
126.7104925 1
0.8%
126.7118773 1
0.8%
126.7146881 1
0.8%
126.7148474 1
0.8%
126.7185447 1
0.8%
ValueCountFrequency (%)
126.9849882 1
0.8%
126.9843727 1
0.8%
126.9806824 1
0.8%
126.9782314 1
0.8%
126.9757606 1
0.8%
126.9724588 1
0.8%
126.9717943 1
0.8%
126.9601037 1
0.8%
126.9581791 1
0.8%
126.9559661 1
0.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-11-29 00:00:00
Maximum2018-11-29 00:00:00
2023-12-12T08:27:27.533785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:27.933688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:27:23.201944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:22.564813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:22.892953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:23.314821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:22.676184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:22.982133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:23.415508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:22.784269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:23.080102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:27:28.013155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종명상세구분사육두수소재지도로명주소위도경도
축종명1.000NaN0.0001.0000.4280.410
상세구분NaN1.0000.0641.0000.4940.298
사육두수0.0000.0641.0001.0000.3220.231
소재지도로명주소1.0001.0001.0001.0001.0001.000
위도0.4280.4940.3221.0001.0000.779
경도0.4100.2980.2311.0000.7791.000
2023-12-12T08:27:28.143973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세구분축종명
상세구분1.0001.000
축종명1.0001.000
2023-12-12T08:27:28.266267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수위도경도축종명상세구분
사육두수1.0000.2060.1410.0000.076
위도0.2061.0000.4180.2760.366
경도0.1410.4181.0000.2620.220
축종명0.0000.2760.2621.0001.000
상세구분0.0760.3660.2201.0001.000

Missing values

2023-12-12T08:27:23.539929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:27:23.684522image/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

시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자
0파주시새말농장산란계30000경기도 파주시 탄현면 장릉로49번길 8경기도 파주시 탄현면 갈현리 814번지 8호37.76995126.7148472018-11-29
1파주시파주농장육계13000<NA>경기도 파주시 문산읍 이천리 61번지37.876303126.8470082018-11-29
2파주시이천농장육계20000<NA>경기도 파주시 문산읍 이천리 178번지 1호37.871193126.8388692018-11-29
3파주시수영농장육계30000경기도 파주시 소라지로 138-59경기도 파주시 연다산동 407번지37.738837126.7026362018-11-29
4파주시희망농장육계30000경기도 파주시 월롱면 누현2길 76-13경기도 파주시 월롱면 위전리 521번지 1호37.789032126.7959222018-11-29
5파주시성원농장육계15000경기도 파주시 월롱면 통일로 1031-77경기도 파주시 월롱면 덕은리 435번지37.801363126.7895072018-11-29
6파주시형제농장육계25000경기도 파주시 상골길 104-43경기도 파주시 맥금동 533번지 1호37.791695126.7283532018-11-29
7파주시진미농장육계25000경기도 파주시 교하로 1342-2경기도 파주시 교하동 520번지37.751227126.7411542018-11-29
8파주시조산농장육계20000경기도 파주시 조리읍 뇌조로178번길 46경기도 파주시 조리읍 뇌조리 124번지 4호37.753313126.8205092018-11-29
9파주시청송농장산란계15000경기도 파주시 파평면 청송로432번길 48-23경기도 파주시 파평면 눌노리 35번지 2호37.928406126.8628672018-11-29
시군명농장명축종명상세구분사육두수소재지도로명주소소재지지번주소위도경도데이터기준일자
118파주시하마농장육계100경기도 파주시 적성면 국사로 297경기도 파주시 적성면 자장리 148번지37.961063126.8694962018-11-29
119파주시청원농장육계40000경기도 파주시 적성면 장마루16길 343경기도 파주시 적성면 답곡리 261번지37.951316126.8551432018-11-29
120파주시DMZ황금알농장산란계1000<NA>경기도 파주시 진동면 하포리 623번지37.923795126.812892018-11-29
121파주시파주정수농장산란계0경기도 파주시 광탄면 혜음로 856경기도 파주시 광탄면 분수리 299번지37.76181126.8602312018-11-29
122파주시늘푸른청계농원산란계550<NA>경기도 파주시 탄현면 갈현리 347번지 1호37.770671126.7185452018-11-29
123파주시만년농장산란계110<NA>경기도 파주시 야동동 750번지37.772974126.7529042018-11-29
124파주시우성농장산란계102<NA>경기도 파주시 야동동 308번지 3호37.777059126.7587592018-11-29
125파주시온정농원산란계30<NA>경기도 파주시 서패동 437번지37.712149126.7020752018-11-29
126파주시샘골농원산란계4000<NA>경기도 파주시 광탄면 마장리 298번지37.786841126.8700592018-11-29
127파주시고창농장육계300<NA>경기도 파주시 조리읍 뇌조리 132번지 8호37.751088126.8146482018-11-29