Overview

Dataset statistics

Number of variables7
Number of observations93
Missing cells27
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory60.4 B

Variable types

Numeric3
Text4

Dataset

Description인천광역시 미추홀구 관내 영업등록된 동물약국 현황에 대한 공공데이터로 기관명, 도로명주소, 대표자, 전화번호, 좌표값의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15060767&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 27 (29.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:27:54.145116
Analysis finished2024-03-18 04:27:55.830110
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-03-18T13:27:55.890284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2024-03-18T13:27:55.996974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

기관명
Text

Distinct85
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-03-18T13:27:56.222959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.7204301
Min length3

Characters and Unicode

Total characters532
Distinct characters152
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

Unique80 ?
Unique (%)86.0%

Sample

1st row라성약국
2nd row희망약국
3rd row메디칼약국
4th row참사랑약국
5th row학익프라자약국
ValueCountFrequency (%)
백세약국 3
 
3.1%
햇님약국 3
 
3.1%
보은약국 3
 
3.1%
365열린온누리약국 2
 
2.0%
도움약국 2
 
2.0%
약국 2
 
2.0%
건강플러스약국 1
 
1.0%
또바기약국 1
 
1.0%
건강프라자약국 1
 
1.0%
건강약국 1
 
1.0%
Other values (79) 79
80.6%
2024-03-18T13:27:56.547271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 93
 
17.5%
국 93
 
17.5%
리 12
 
2.3%
안 9
 
1.7%
온 9
 
1.7%
누 8
 
1.5%
동 8
 
1.5%
주 7
 
1.3%
인 7
 
1.3%
디 6
 
1.1%
Other values (142) 280
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
97.0%
Decimal Number 7
 
1.3%
Space Separator 5
 
0.9%
Uppercase Letter 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 93
 
18.0%
국 93
 
18.0%
리 12
 
2.3%
안 9
 
1.7%
온 9
 
1.7%
누 8
 
1.6%
동 8
 
1.6%
주 7
 
1.4%
인 7
 
1.4%
디 6
 
1.2%
Other values (134) 264
51.2%
Decimal Number
ValueCountFrequency (%)
6 3
42.9%
5 2
28.6%
3 2
28.6%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
97.0%
Common 14
 
2.6%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 93
 
18.0%
국 93
 
18.0%
리 12
 
2.3%
안 9
 
1.7%
온 9
 
1.7%
누 8
 
1.6%
동 8
 
1.6%
주 7
 
1.4%
인 7
 
1.4%
디 6
 
1.2%
Other values (134) 264
51.2%
Common
ValueCountFrequency (%)
5
35.7%
6 3
21.4%
5 2
 
14.3%
3 2
 
14.3%
( 1
 
7.1%
) 1
 
7.1%
Latin
ValueCountFrequency (%)
H 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
97.0%
ASCII 16
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 93
 
18.0%
국 93
 
18.0%
리 12
 
2.3%
안 9
 
1.7%
온 9
 
1.7%
누 8
 
1.6%
동 8
 
1.6%
주 7
 
1.4%
인 7
 
1.4%
디 6
 
1.2%
Other values (134) 264
51.2%
ASCII
ValueCountFrequency (%)
5
31.2%
6 3
18.8%
5 2
 
12.5%
3 2
 
12.5%
( 1
 
6.2%
) 1
 
6.2%
H 1
 
6.2%
D 1
 
6.2%

도로명주소
Text

Distinct87
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-03-18T13:27:56.800177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length31.763441
Min length22

Characters and Unicode

Total characters2954
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)88.2%

Sample

1st row인천광역시 미추홀구 미추홀대로722번길 8 (주안동)
2nd row인천광역시 미추홀구 미추홀대로 573 (주안동)
3rd row인천광역시 미추홀구 인하로 251 (주안동)
4th row인천광역시 미추홀구 인하로 276 (주안동)
5th row인천광역시 미추홀구 매소홀로 355, 117호 (학익동, 학익프라자)
ValueCountFrequency (%)
인천광역시 93
 
16.1%
미추홀구 93
 
16.1%
1층 35
 
6.1%
주안동 34
 
5.9%
용현동 24
 
4.2%
경인로 11
 
1.9%
101호 9
 
1.6%
숭의동 9
 
1.6%
도화동 9
 
1.6%
인주대로 8
 
1.4%
Other values (172) 252
43.7%
2024-03-18T13:27:57.152433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
 
16.4%
1 129
 
4.4%
인 125
 
4.2%
홀 114
 
3.9%
미 109
 
3.7%
추 107
 
3.6%
동 97
 
3.3%
천 95
 
3.2%
시 94
 
3.2%
역 94
 
3.2%
Other values (141) 1506
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1783
60.4%
Space Separator 484
 
16.4%
Decimal Number 417
 
14.1%
Close Punctuation 93
 
3.1%
Open Punctuation 93
 
3.1%
Other Punctuation 72
 
2.4%
Dash Punctuation 8
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 125
 
7.0%
홀 114
 
6.4%
미 109
 
6.1%
추 107
 
6.0%
동 97
 
5.4%
천 95
 
5.3%
시 94
 
5.3%
역 94
 
5.3%
구 93
 
5.2%
광 93
 
5.2%
Other values (122) 762
42.7%
Decimal Number
ValueCountFrequency (%)
1 129
30.9%
0 48
 
11.5%
3 46
 
11.0%
4 36
 
8.6%
2 36
 
8.6%
7 26
 
6.2%
8 25
 
6.0%
9 25
 
6.0%
5 23
 
5.5%
6 23
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
I 1
25.0%
N 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
484
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Other Punctuation
ValueCountFrequency (%)
, 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1783
60.4%
Common 1167
39.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 125
 
7.0%
홀 114
 
6.4%
미 109
 
6.1%
추 107
 
6.0%
동 97
 
5.4%
천 95
 
5.3%
시 94
 
5.3%
역 94
 
5.3%
구 93
 
5.2%
광 93
 
5.2%
Other values (122) 762
42.7%
Common
ValueCountFrequency (%)
484
41.5%
1 129
 
11.1%
) 93
 
8.0%
( 93
 
8.0%
, 72
 
6.2%
0 48
 
4.1%
3 46
 
3.9%
4 36
 
3.1%
2 36
 
3.1%
7 26
 
2.2%
Other values (5) 104
 
8.9%
Latin
ValueCountFrequency (%)
P 1
25.0%
I 1
25.0%
N 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1783
60.4%
ASCII 1171
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
41.3%
1 129
 
11.0%
) 93
 
7.9%
( 93
 
7.9%
, 72
 
6.1%
0 48
 
4.1%
3 46
 
3.9%
4 36
 
3.1%
2 36
 
3.1%
7 26
 
2.2%
Other values (9) 108
 
9.2%
Hangul
ValueCountFrequency (%)
인 125
 
7.0%
홀 114
 
6.4%
미 109
 
6.1%
추 107
 
6.0%
동 97
 
5.4%
천 95
 
5.3%
시 94
 
5.3%
역 94
 
5.3%
구 93
 
5.2%
광 93
 
5.2%
Other values (122) 762
42.7%

대표자
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-03-18T13:27:57.396103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters279
Distinct characters97
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

Unique91 ?
Unique (%)97.8%

Sample

1st row신진영
2nd row이병훈
3rd row장문정
4th row이정민
5th row김현주
ValueCountFrequency (%)
박보경 2
 
2.2%
김동철 1
 
1.1%
김승호 1
 
1.1%
임동빈 1
 
1.1%
전금용 1
 
1.1%
우승우 1
 
1.1%
박찬호 1
 
1.1%
박선영 1
 
1.1%
노혜원 1
 
1.1%
류영재 1
 
1.1%
Other values (82) 82
88.2%
2024-03-18T13:27:57.732114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 17
 
6.1%
김 16
 
5.7%
박 12
 
4.3%
정 11
 
3.9%
영 11
 
3.9%
희 8
 
2.9%
진 8
 
2.9%
준 6
 
2.2%
선 6
 
2.2%
환 6
 
2.2%
Other values (87) 178
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 17
 
6.1%
김 16
 
5.7%
박 12
 
4.3%
정 11
 
3.9%
영 11
 
3.9%
희 8
 
2.9%
진 8
 
2.9%
준 6
 
2.2%
선 6
 
2.2%
환 6
 
2.2%
Other values (87) 178
63.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 17
 
6.1%
김 16
 
5.7%
박 12
 
4.3%
정 11
 
3.9%
영 11
 
3.9%
희 8
 
2.9%
진 8
 
2.9%
준 6
 
2.2%
선 6
 
2.2%
환 6
 
2.2%
Other values (87) 178
63.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 17
 
6.1%
김 16
 
5.7%
박 12
 
4.3%
정 11
 
3.9%
영 11
 
3.9%
희 8
 
2.9%
진 8
 
2.9%
준 6
 
2.2%
선 6
 
2.2%
환 6
 
2.2%
Other values (87) 178
63.8%

전화번호
Text

MISSING 

Distinct66
Distinct (%)100.0%
Missing27
Missing (%)29.0%
Memory size876.0 B
2024-03-18T13:27:57.963130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.060606
Min length12

Characters and Unicode

Total characters796
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

Unique66 ?
Unique (%)100.0%

Sample

1st row032-831-6065
2nd row032-876-3700
3rd row032-873-8783
4th row032-872-2884
5th row032-865-7755
ValueCountFrequency (%)
032-863-1253 1
 
1.5%
032-874-0405 1
 
1.5%
032-881-1451 1
 
1.5%
032-873-7776 1
 
1.5%
032-422-4279 1
 
1.5%
032-885-3929 1
 
1.5%
032-886-6863 1
 
1.5%
032-429-7888 1
 
1.5%
032-422-5644 1
 
1.5%
070-8820-8881 1
 
1.5%
Other values (56) 56
84.8%
2024-03-18T13:27:58.322092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 132
16.6%
2 115
14.4%
0 107
13.4%
3 99
12.4%
8 97
12.2%
7 48
 
6.0%
5 45
 
5.7%
6 44
 
5.5%
4 41
 
5.2%
1 37
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 664
83.4%
Dash Punctuation 132
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 115
17.3%
0 107
16.1%
3 99
14.9%
8 97
14.6%
7 48
7.2%
5 45
 
6.8%
6 44
 
6.6%
4 41
 
6.2%
1 37
 
5.6%
9 31
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 796
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 132
16.6%
2 115
14.4%
0 107
13.4%
3 99
12.4%
8 97
12.2%
7 48
 
6.0%
5 45
 
5.7%
6 44
 
5.5%
4 41
 
5.2%
1 37
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 132
16.6%
2 115
14.4%
0 107
13.4%
3 99
12.4%
8 97
12.2%
7 48
 
6.0%
5 45
 
5.7%
6 44
 
5.5%
4 41
 
5.2%
1 37
 
4.6%

위도
Real number (ℝ)

Distinct83
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455904
Minimum37.437384
Maximum37.472116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-03-18T13:27:58.441513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437384
5-th percentile37.43944
Q137.449993
median37.458018
Q337.461633
95-th percentile37.468444
Maximum37.472116
Range0.03473215
Interquartile range (IQR)0.011639537

Descriptive statistics

Standard deviation0.0087283238
Coefficient of variation (CV)0.00023302932
Kurtosis-0.54091447
Mean37.455904
Median Absolute Deviation (MAD)0.0066036905
Skewness-0.30353365
Sum3483.3991
Variance7.6183637 × 10-5
MonotonicityNot monotonic
2024-03-18T13:27:58.553414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.458271386667 3
 
3.2%
37.45622763751 3
 
3.2%
37.4721160366582 3
 
3.2%
37.456746590876 2
 
2.2%
37.4499931916129 2
 
2.2%
37.4582782365127 2
 
2.2%
37.4580182017435 2
 
2.2%
37.463310831316 1
 
1.1%
37.4582879785623 1
 
1.1%
37.4525827471692 1
 
1.1%
Other values (73) 73
78.5%
ValueCountFrequency (%)
37.4373838863333 1
1.1%
37.4376025801152 1
1.1%
37.438256649812 1
1.1%
37.4392651949563 1
1.1%
37.4392987880712 1
1.1%
37.439533615306 1
1.1%
37.4414509031689 1
1.1%
37.4415175605061 1
1.1%
37.4421755866063 1
1.1%
37.4425062298688 1
1.1%
ValueCountFrequency (%)
37.4721160366582 3
3.2%
37.4699179669497 1
 
1.1%
37.4685741588178 1
 
1.1%
37.4683578134924 1
 
1.1%
37.4680711945464 1
 
1.1%
37.4679644958782 1
 
1.1%
37.4678186522661 1
 
1.1%
37.467134343218 1
 
1.1%
37.4666486940553 1
 
1.1%
37.4663794488563 1
 
1.1%

경도
Real number (ℝ)

Distinct83
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66771
Minimum126.63327
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-03-18T13:27:58.671873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63327
5-th percentile126.63912
Q1126.65171
median126.67337
Q3126.68116
95-th percentile126.68979
Maximum126.70152
Range0.068248298
Interquartile range (IQR)0.02945605

Descriptive statistics

Standard deviation0.017402645
Coefficient of variation (CV)0.00013738817
Kurtosis-1.0991724
Mean126.66771
Median Absolute Deviation (MAD)0.013724911
Skewness-0.32900015
Sum11780.097
Variance0.00030285204
MonotonicityNot monotonic
2024-03-18T13:27:58.799926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.68788030305 3
 
3.2%
126.651428195808 3
 
3.2%
126.662017025083 3
 
3.2%
126.64130201109 2
 
2.2%
126.633671366499 2
 
2.2%
126.644709555722 2
 
2.2%
126.681163207516 2
 
2.2%
126.656694792277 1
 
1.1%
126.688158391911 1
 
1.1%
126.635583992328 1
 
1.1%
Other values (73) 73
78.5%
ValueCountFrequency (%)
126.633270358414 1
1.1%
126.633671366499 2
2.2%
126.635583992328 1
1.1%
126.639054580774 1
1.1%
126.639161465859 1
1.1%
126.641139879648 1
1.1%
126.64130201109 2
2.2%
126.642049144178 1
1.1%
126.643397474449 1
1.1%
126.643946125236 1
1.1%
ValueCountFrequency (%)
126.701518656221 1
 
1.1%
126.694756001366 1
 
1.1%
126.691022712719 1
 
1.1%
126.689825269378 1
 
1.1%
126.689814649132 1
 
1.1%
126.689769129511 1
 
1.1%
126.689137871359 1
 
1.1%
126.688158391911 1
 
1.1%
126.68788030305 3
3.2%
126.68780947251 1
 
1.1%

Interactions

2024-03-18T13:27:55.427468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:54.719537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:54.953866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:55.497547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:54.790706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:55.027310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:55.589028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:54.872812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:55.346528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:27:58.914774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명도로명주소대표자전화번호위도경도
연번1.0000.8210.7950.9341.0000.3730.406
기관명0.8211.0001.0001.0001.0001.0001.000
도로명주소0.7951.0001.0000.9981.0001.0001.000
대표자0.9341.0000.9981.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
위도0.3731.0001.0001.0001.0001.0000.823
경도0.4061.0001.0001.0001.0000.8231.000
2024-03-18T13:27:59.019694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.060-0.090
위도0.0601.0000.069
경도-0.0900.0691.000

Missing values

2024-03-18T13:27:55.704394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:27:55.795549image/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

연번기관명도로명주소대표자전화번호위도경도
01라성약국인천광역시 미추홀구 미추홀대로722번길 8 (주안동)신진영032-831-606537.461715126.680788
12희망약국인천광역시 미추홀구 미추홀대로 573 (주안동)이병훈032-876-370037.448531126.679311
23메디칼약국인천광역시 미추홀구 인하로 251 (주안동)장문정032-873-878337.448505126.675951
34참사랑약국인천광역시 미추홀구 인하로 276 (주안동)이정민032-872-288437.447867126.67872
45학익프라자약국인천광역시 미추홀구 매소홀로 355, 117호 (학익동, 학익프라자)김현주032-865-775537.441451126.661976
56명문당약국인천광역시 미추홀구 인주대로 191-1 (용현동)이후란032-864-656937.455377126.658339
67삼정약국인천광역시 미추홀구 경인로 128-1 (숭의동)정혜미032-884-467437.465998126.656918
78문학사랑약국인천광역시 미추홀구 소성로326번길 4 (문학동)박성준032-432-563937.437384126.683239
89넘버원약국인천광역시 미추홀구 소성로 133 (학익동)석윤진032-889-141437.44337126.663648
910마니또안약국인천광역시 미추홀구 수봉로 55 (숭의동)안승희032-868-384137.461633126.658289
연번기관명도로명주소대표자전화번호위도경도
8384바른아산약국인천광역시 미추홀구 인하로299번길 3, 일정빌딩 1층 (주안동)박선미032-423-355537.448182126.68138
8485정약국인천광역시 미추홀구 경인로 391, 주안현대아파트 (주안동)정춘덕032-439-591337.458567126.683547
8586보은약국인천광역시 미추홀구 인주대로 130, 1층 (용현동)이진선032-888-531937.456228126.651428
8687인하후문약국인천광역시 미추홀구 인하로 73-1, 1층 우측호 (용현동)박진화032-225-010337.451423126.656598
8788주안열린약국인천광역시 미추홀구 미추홀대로 610, 1층 110,111호 (주안동)한성은070-8657-123737.451817126.680048
8889도움약국인천광역시 미추홀구 낙섬중로 138, 미추홀프라자 101호 (용현동)김주환032-881-099937.458278126.64471
8990건강효약국인천광역시 미추홀구 인주대로132번길 12, 1층 (용현동)이지은032-881-505037.455833126.651707
9091동신온누리약국인천광역시 미추홀구 소성로 93, 1층 (학익동)문옥신032-432-314437.445053126.659512
9192서울약국인천광역시 미추홀구 독정이로 25-1 (용현동)이연상032-887-784137.458215126.653921
9293백세약국인천광역시 미추홀구 경인로 429 (주안동)최진원<NA>37.458271126.68788