Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory70.9 B

Variable types

Numeric3
Text4
Categorical1

Dataset

Description경상남도 거창군 약국 현황에 대한 데이터로 약국명, 소재지도로명주소, 소재지지번주소, 위도, 경도 전화번호를 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/3065575/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
약국명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
약국전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:35:21.069734
Analysis finished2023-12-12 07:35:23.040009
Duration1.97 second
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
2023-12-12T16:35:23.120059image/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
2023-12-12T16:35:23.287886image/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%

약국명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:35:23.519733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.2352941
Min length3

Characters and Unicode

Total characters144
Distinct characters62
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 row정다운약국
2nd row세종약국
3rd row푸른약국
4th row수약국
5th row선보약국
ValueCountFrequency (%)
정다운약국 1
 
2.9%
세종약국 1
 
2.9%
가람약국 1
 
2.9%
동산약국 1
 
2.9%
국민약국 1
 
2.9%
거창약국 1
 
2.9%
서부약국 1
 
2.9%
진명약국 1
 
2.9%
대성약국 1
 
2.9%
기쁨약국 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T16:35:23.882772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 35
24.3%
약 34
23.6%
대 4
 
2.8%
동 3
 
2.1%
한 3
 
2.1%
성 3
 
2.1%
정 2
 
1.4%
가 2
 
1.4%
산 2
 
1.4%
종 2
 
1.4%
Other values (52) 54
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 35
24.3%
약 34
23.6%
대 4
 
2.8%
동 3
 
2.1%
한 3
 
2.1%
성 3
 
2.1%
정 2
 
1.4%
가 2
 
1.4%
산 2
 
1.4%
종 2
 
1.4%
Other values (52) 54
37.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 35
24.3%
약 34
23.6%
대 4
 
2.8%
동 3
 
2.1%
한 3
 
2.1%
성 3
 
2.1%
정 2
 
1.4%
가 2
 
1.4%
산 2
 
1.4%
종 2
 
1.4%
Other values (52) 54
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 35
24.3%
약 34
23.6%
대 4
 
2.8%
동 3
 
2.1%
한 3
 
2.1%
성 3
 
2.1%
정 2
 
1.4%
가 2
 
1.4%
산 2
 
1.4%
종 2
 
1.4%
Other values (52) 54
37.5%

소재지도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:35:24.088479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length21.852941
Min length19

Characters and Unicode

Total characters743
Distinct characters49
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 거창군 거창읍 대동리 거열로 199
2nd row경상남도 거창군 거창읍 수남로 2287
3rd row경상남도 거창군 거창읍 강남로1길 94-90 1층
4th row경상남도 거창군 거창읍 강변로 177 아진프라자 2층 203호
5th row경상남도 거창군 거창읍 거창대로 100 선보프라자 101호
ValueCountFrequency (%)
경상남도 34
18.9%
거창군 34
18.9%
거창읍 33
18.3%
거창대로 11
 
6.1%
중앙로 6
 
3.3%
1층 3
 
1.7%
시장길 3
 
1.7%
거열로 2
 
1.1%
상동2길 2
 
1.1%
2층 2
 
1.1%
Other values (49) 50
27.8%
2023-12-12T16:35:24.507028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
19.7%
거 82
11.0%
창 81
10.9%
남 37
 
5.0%
상 36
 
4.8%
군 34
 
4.6%
경 34
 
4.6%
도 34
 
4.6%
읍 33
 
4.4%
1 29
 
3.9%
Other values (39) 197
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
64.3%
Space Separator 146
 
19.7%
Decimal Number 109
 
14.7%
Dash Punctuation 10
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 82
17.2%
창 81
16.9%
남 37
7.7%
상 36
7.5%
군 34
7.1%
경 34
7.1%
도 34
7.1%
읍 33
6.9%
로 27
 
5.6%
대 14
 
2.9%
Other values (27) 66
13.8%
Decimal Number
ValueCountFrequency (%)
1 29
26.6%
2 17
15.6%
7 11
 
10.1%
5 9
 
8.3%
4 9
 
8.3%
0 8
 
7.3%
9 7
 
6.4%
6 7
 
6.4%
8 7
 
6.4%
3 5
 
4.6%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
64.3%
Common 265
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 82
17.2%
창 81
16.9%
남 37
7.7%
상 36
7.5%
군 34
7.1%
경 34
7.1%
도 34
7.1%
읍 33
6.9%
로 27
 
5.6%
대 14
 
2.9%
Other values (27) 66
13.8%
Common
ValueCountFrequency (%)
146
55.1%
1 29
 
10.9%
2 17
 
6.4%
7 11
 
4.2%
- 10
 
3.8%
5 9
 
3.4%
4 9
 
3.4%
0 8
 
3.0%
9 7
 
2.6%
6 7
 
2.6%
Other values (2) 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
64.3%
ASCII 265
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
55.1%
1 29
 
10.9%
2 17
 
6.4%
7 11
 
4.2%
- 10
 
3.8%
5 9
 
3.4%
4 9
 
3.4%
0 8
 
3.0%
9 7
 
2.6%
6 7
 
2.6%
Other values (2) 12
 
4.5%
Hangul
ValueCountFrequency (%)
거 82
17.2%
창 81
16.9%
남 37
7.7%
상 36
7.5%
군 34
7.1%
경 34
7.1%
도 34
7.1%
읍 33
6.9%
로 27
 
5.6%
대 14
 
2.9%
Other values (27) 66
13.8%

소재지지번주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:35:24.709691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length22.823529
Min length20

Characters and Unicode

Total characters776
Distinct characters44
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 거창군 거창읍 대동리 697-7
2nd row경상남도 거창군 거창읍 김천리 365-10
3rd row경상남도 거창군 거창읍 송정리 1116-6 1층
4th row경상남도 거창군 거창읍 대동리 933 아진프라자 2층 203호
5th row경상남도 거창군 거창읍 대동리 699-1 선보프라자 101호
ValueCountFrequency (%)
경상남도 34
19.0%
거창군 34
19.0%
거창읍 33
18.4%
대동리 20
11.2%
상림리 4
 
2.2%
중앙리 4
 
2.2%
송정리 3
 
1.7%
1층 3
 
1.7%
2층 2
 
1.1%
700-2 1
 
0.6%
Other values (41) 41
22.9%
2023-12-12T16:35:25.021879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
18.7%
거 67
 
8.6%
창 67
 
8.6%
상 39
 
5.0%
군 34
 
4.4%
경 34
 
4.4%
도 34
 
4.4%
남 34
 
4.4%
리 34
 
4.4%
읍 33
 
4.3%
Other values (34) 255
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
59.1%
Space Separator 145
 
18.7%
Decimal Number 145
 
18.7%
Dash Punctuation 27
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 67
14.6%
창 67
14.6%
상 39
8.5%
군 34
7.4%
경 34
7.4%
도 34
7.4%
남 34
7.4%
리 34
7.4%
읍 33
7.2%
대 21
 
4.6%
Other values (22) 62
13.5%
Decimal Number
ValueCountFrequency (%)
1 33
22.8%
6 18
12.4%
2 17
11.7%
3 16
11.0%
8 15
10.3%
9 12
 
8.3%
0 11
 
7.6%
7 11
 
7.6%
5 7
 
4.8%
4 5
 
3.4%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
59.1%
Common 317
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 67
14.6%
창 67
14.6%
상 39
8.5%
군 34
7.4%
경 34
7.4%
도 34
7.4%
남 34
7.4%
리 34
7.4%
읍 33
7.2%
대 21
 
4.6%
Other values (22) 62
13.5%
Common
ValueCountFrequency (%)
145
45.7%
1 33
 
10.4%
- 27
 
8.5%
6 18
 
5.7%
2 17
 
5.4%
3 16
 
5.0%
8 15
 
4.7%
9 12
 
3.8%
0 11
 
3.5%
7 11
 
3.5%
Other values (2) 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
59.1%
ASCII 317
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
45.7%
1 33
 
10.4%
- 27
 
8.5%
6 18
 
5.7%
2 17
 
5.4%
3 16
 
5.0%
8 15
 
4.7%
9 12
 
3.8%
0 11
 
3.5%
7 11
 
3.5%
Other values (2) 12
 
3.8%
Hangul
ValueCountFrequency (%)
거 67
14.6%
창 67
14.6%
상 39
8.5%
군 34
7.4%
경 34
7.4%
도 34
7.4%
남 34
7.4%
리 34
7.4%
읍 33
7.2%
대 21
 
4.6%
Other values (22) 62
13.5%

위도
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.687365
Minimum35.680996
Maximum35.709526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T16:35:25.141255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.680996
5-th percentile35.681455
Q135.685959
median35.687026
Q335.688124
95-th percentile35.690672
Maximum35.709526
Range0.02853029
Interquartile range (IQR)0.002164325

Descriptive statistics

Standard deviation0.0045432029
Coefficient of variation (CV)0.00012730564
Kurtosis17.712161
Mean35.687365
Median Absolute Deviation (MAD)0.001112565
Skewness3.500555
Sum1213.3704
Variance2.0640693 × 10-5
MonotonicityNot monotonic
2023-12-12T16:35:25.275686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
35.69111253 1
 
2.9%
35.68554192 1
 
2.9%
35.68710775 1
 
2.9%
35.69019134 1
 
2.9%
35.68797125 1
 
2.9%
35.68780354 1
 
2.9%
35.70952643 1
 
2.9%
35.68819903 1
 
2.9%
35.6874212 1
 
2.9%
35.68553628 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
35.68099614 1
2.9%
35.681295 1
2.9%
35.68154192 1
2.9%
35.68290096 1
2.9%
35.68553628 1
2.9%
35.68554192 1
2.9%
35.68557666 1
2.9%
35.68566226 1
2.9%
35.68594923 1
2.9%
35.68598934 1
2.9%
ValueCountFrequency (%)
35.70952643 1
2.9%
35.69111253 1
2.9%
35.69043468 1
2.9%
35.69019134 1
2.9%
35.68862764 1
2.9%
35.68860577 1
2.9%
35.68851204 1
2.9%
35.68819903 1
2.9%
35.68817436 1
2.9%
35.68797125 1
2.9%

경도
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.91631
Minimum127.89853
Maximum128.01568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T16:35:25.429697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.89853
5-th percentile127.90321
Q1127.91276
median127.91545
Q3127.91608
95-th percentile127.91965
Maximum128.01568
Range0.1171538
Interquartile range (IQR)0.00332345

Descriptive statistics

Standard deviation0.018251904
Coefficient of variation (CV)0.0001426863
Kurtosis28.722765
Mean127.91631
Median Absolute Deviation (MAD)0.00116205
Skewness5.1178987
Sum4349.1544
Variance0.00033313201
MonotonicityNot monotonic
2023-12-12T16:35:25.568030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
127.9149847 1
 
2.9%
127.9091714 1
 
2.9%
127.912696 1
 
2.9%
127.9147046 1
 
2.9%
127.9154469 1
 
2.9%
127.9152801 1
 
2.9%
128.0156788 1
 
2.9%
127.9202653 1
 
2.9%
127.9154498 1
 
2.9%
127.9080686 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
127.898525 1
2.9%
127.898785 1
2.9%
127.905595 1
2.9%
127.9065091 1
2.9%
127.9080686 1
2.9%
127.9082467 1
2.9%
127.9091714 1
2.9%
127.9117634 1
2.9%
127.912696 1
2.9%
127.9129389 1
2.9%
ValueCountFrequency (%)
128.0156788 1
2.9%
127.9202653 1
2.9%
127.9193141 1
2.9%
127.916804 1
2.9%
127.9167601 1
2.9%
127.9164607 1
2.9%
127.9162376 1
2.9%
127.9162207 1
2.9%
127.9161014 1
2.9%
127.9160165 1
2.9%

약국전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:35:25.810507image/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

Unique34 ?
Unique (%)100.0%

Sample

1st row055-942-5936
2nd row055-943-8511
3rd row055-942-1300
4th row055-942-9872
5th row055-945-3252
ValueCountFrequency (%)
055-942-5936 1
 
2.9%
055-943-8511 1
 
2.9%
055-945-3651 1
 
2.9%
055-944-2642 1
 
2.9%
055-944-2303 1
 
2.9%
055-944-7772 1
 
2.9%
055-944-6753 1
 
2.9%
055-944-8760 1
 
2.9%
055-942-9666 1
 
2.9%
055-941-2334 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T16:35:26.233766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 86
21.1%
- 68
16.7%
0 52
12.7%
4 51
12.5%
9 45
11.0%
3 30
 
7.4%
2 23
 
5.6%
6 18
 
4.4%
1 17
 
4.2%
8 9
 
2.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 86
25.3%
0 52
15.3%
4 51
15.0%
9 45
13.2%
3 30
 
8.8%
2 23
 
6.8%
6 18
 
5.3%
1 17
 
5.0%
8 9
 
2.6%
7 9
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 86
21.1%
- 68
16.7%
0 52
12.7%
4 51
12.5%
9 45
11.0%
3 30
 
7.4%
2 23
 
5.6%
6 18
 
4.4%
1 17
 
4.2%
8 9
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 86
21.1%
- 68
16.7%
0 52
12.7%
4 51
12.5%
9 45
11.0%
3 30
 
7.4%
2 23
 
5.6%
6 18
 
4.4%
1 17
 
4.2%
8 9
 
2.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-10-06
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-06
2nd row2023-10-06
3rd row2023-10-06
4th row2023-10-06
5th row2023-10-06

Common Values

ValueCountFrequency (%)
2023-10-06 34
100.0%

Length

2023-12-12T16:35:26.381724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:35:26.501873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-06 34
100.0%

Interactions

2023-12-12T16:35:22.073713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:21.401342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:21.714664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:22.546502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:21.489919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:21.845621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:22.661587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:21.597607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:21.972244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:35:26.584734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번약국명소재지도로명주소소재지지번주소위도경도약국전화번호
연번1.0001.0001.0001.0000.2900.0001.000
약국명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
위도0.2901.0001.0001.0001.0000.7771.000
경도0.0001.0001.0001.0000.7771.0001.000
약국전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-12T16:35:26.692808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0060.173
위도-0.0061.0000.417
경도0.1730.4171.000

Missing values

2023-12-12T16:35:22.814036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:35:22.977436image/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

연번약국명소재지도로명주소소재지지번주소위도경도약국전화번호데이터기준일자
01정다운약국경상남도 거창군 거창읍 대동리 거열로 199경상남도 거창군 거창읍 대동리 697-735.691113127.914985055-942-59362023-10-06
12세종약국경상남도 거창군 거창읍 수남로 2287경상남도 거창군 거창읍 김천리 365-1035.682901127.911763055-943-85112023-10-06
23푸른약국경상남도 거창군 거창읍 강남로1길 94-90 1층경상남도 거창군 거창읍 송정리 1116-6 1층35.680996127.905595055-942-13002023-10-06
34수약국경상남도 거창군 거창읍 강변로 177 아진프라자 2층 203호경상남도 거창군 거창읍 대동리 933 아진프라자 2층 203호35.68617127.916101055-942-98722023-10-06
45선보약국경상남도 거창군 거창읍 거창대로 100 선보프라자 101호경상남도 거창군 거창읍 대동리 699-1 선보프라자 101호35.690435127.91519055-945-32522023-10-06
56송정약국경상남도 거창군 거창읍 송정1길 24-6경상남도 거창군 거창읍 송정리 1096-535.681542127.898525055-943-61372023-10-06
67종합약국경상남도 거창군 거창읍 중앙로 163-6 1층경상남도 거창군 거창읍 대동리 833-2 1층35.688174127.916221055-944-11142023-10-06
78중앙약국경상남도 거창군 거창읍 상동2길 2경상남도 거창군 거창읍 상림리 76-135.685577127.908247055-944-21432023-10-06
89솔약국경상남도 거창군 거창읍 중앙로 134경상남도 거창군 거창읍 중앙리 128-335.686906127.912939055-942-92382023-10-06
910기쁨약국경상남도 거창군 거창읍 거창대로 65경상남도 거창군 거창읍 대동리 861-335.687297127.915635055-941-23342023-10-06
연번약국명소재지도로명주소소재지지번주소위도경도약국전화번호데이터기준일자
2425덕성약국경상남도 거창군 가조면 지산로 1487경상남도 거창군 가조면 마상리 311-1535.709526128.015679055-942-00332023-10-06
2526성호당약국경상남도 거창군 거창읍 창동로 123경상남도 거창군 거창읍 대동리 102-1235.688199127.920265055-943-56582023-10-06
2627대성약국경상남도 거창군 거창읍 중앙로 96경상남도 거창군 거창읍 상림리 121-1635.685542127.909171055-942-96662023-10-06
2728진명약국경상남도 거창군 거창읍 중앙로 158-1경상남도 거창군 거창읍 대동리 86035.687421127.91545055-944-87602023-10-06
2829서부약국경상남도 거창군 거창읍 시장길 98경상남도 거창군 거창읍 대동리 862-635.687118127.915902055-944-67532023-10-06
2930거창약국경상남도 거창군 거창읍 강남로 204경상남도 거창군 거창읍 대평리 1005-535.685662127.919314055-944-77722023-10-06
3031국민약국경상남도 거창군 거창읍 시장길 44경상남도 거창군 거창읍 중앙리 11435.685989127.91312055-944-23032023-10-06
3132동산약국경상남도 거창군 거창읍 시장길 40-1경상남도 거창군 거창읍 중앙리 11635.685949127.913001055-944-26422023-10-06
3233가람약국경상남도 거창군 거창읍 거창대로1길 7-2경상남도 거창군 거창읍 대동리 89235.687328127.916804055-945-36512023-10-06
3334가까운약국경상남도 거창군 거창읍 송정1길 24-20경상남도 거창군 거창읍 송정리 1096-235.681295127.898785055-942-36902023-10-06