Overview

Dataset statistics

Number of variables8
Number of observations221
Missing cells2
Missing cells (%)0.1%
Duplicate rows7
Duplicate rows (%)3.2%
Total size in memory14.2 KiB
Average record size in memory65.6 B

Variable types

Text5
Categorical2
Numeric1

Dataset

Description대구광역시 북구 관내에서 운영 중인 약국 현황(기관명, 소재지주소(도로명, 지번), 대표전화번호 등) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15025684/fileData.do

Alerts

운영상태 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
Dataset has 7 (3.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 17:47:31.590491
Analysis finished2023-12-12 17:47:32.450653
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct210
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T02:47:32.701528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.7918552
Min length3

Characters and Unicode

Total characters1059
Distinct characters178
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

Unique201 ?
Unique (%)91.0%

Sample

1st row튼튼약국
2nd row화창한약국
3rd row진약국
4th row태전제일약국
5th row참약국
ValueCountFrequency (%)
연합약국 3
 
1.3%
정약국 3
 
1.3%
건강한약국 2
 
0.9%
건강백세약국 2
 
0.9%
아이맘약국 2
 
0.9%
강남당약국 2
 
0.9%
강북약국 2
 
0.9%
다나약국 2
 
0.9%
편안약국 2
 
0.9%
약국 2
 
0.9%
Other values (202) 202
90.2%
2023-12-13T02:47:33.193303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 225
21.2%
약 223
21.1%
대 19
 
1.8%
리 17
 
1.6%
강 16
 
1.5%
한 16
 
1.5%
동 14
 
1.3%
칠 12
 
1.1%
성 12
 
1.1%
곡 11
 
1.0%
Other values (168) 494
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1054
99.5%
Space Separator 3
 
0.3%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 225
21.3%
약 223
21.2%
대 19
 
1.8%
리 17
 
1.6%
강 16
 
1.5%
한 16
 
1.5%
동 14
 
1.3%
칠 12
 
1.1%
성 12
 
1.1%
곡 11
 
1.0%
Other values (165) 489
46.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1054
99.5%
Common 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 225
21.3%
약 223
21.2%
대 19
 
1.8%
리 17
 
1.6%
강 16
 
1.5%
한 16
 
1.5%
동 14
 
1.3%
칠 12
 
1.1%
성 12
 
1.1%
곡 11
 
1.0%
Other values (165) 489
46.4%
Common
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1054
99.5%
ASCII 5
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 225
21.3%
약 223
21.2%
대 19
 
1.8%
리 17
 
1.6%
강 16
 
1.5%
한 16
 
1.5%
동 14
 
1.3%
칠 12
 
1.1%
성 12
 
1.1%
곡 11
 
1.0%
Other values (165) 489
46.4%
ASCII
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
1 1
 
20.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
운영
221 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 221
100.0%

Length

2023-12-13T02:47:33.405403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:47:33.518364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 221
100.0%

소재지(도로명)
Text

Distinct212
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T02:47:33.837121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length28.524887
Min length20

Characters and Unicode

Total characters6304
Distinct characters171
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)92.3%

Sample

1st row대구광역시 북구 학정로106길 10, 1층 (학정동)
2nd row대구광역시 북구 산격로8길 35-1 (산격동)
3rd row대구광역시 북구 동천로23길 30-23, 1층 106호 (동천동)
4th row대구광역시 북구 칠곡중앙대로 302 (태전동)
5th row대구광역시 북구 학정로 429, 로데오프라자 1층 103호 (동천동)
ValueCountFrequency (%)
대구광역시 221
 
16.5%
북구 221
 
16.5%
1층 111
 
8.3%
칠곡중앙대로 30
 
2.2%
산격동 28
 
2.1%
동천동 27
 
2.0%
동북로 25
 
1.9%
태전동 23
 
1.7%
학정로 15
 
1.1%
읍내동 15
 
1.1%
Other values (332) 620
46.4%
2023-12-13T02:47:34.417253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1125
17.8%
구 468
 
7.4%
1 323
 
5.1%
동 314
 
5.0%
대 292
 
4.6%
북 247
 
3.9%
시 228
 
3.6%
역 223
 
3.5%
로 222
 
3.5%
광 222
 
3.5%
Other values (161) 2640
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3526
55.9%
Space Separator 1125
 
17.8%
Decimal Number 997
 
15.8%
Open Punctuation 221
 
3.5%
Close Punctuation 221
 
3.5%
Other Punctuation 179
 
2.8%
Dash Punctuation 28
 
0.4%
Uppercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 468
13.3%
동 314
 
8.9%
대 292
 
8.3%
북 247
 
7.0%
시 228
 
6.5%
역 223
 
6.3%
로 222
 
6.3%
광 222
 
6.3%
층 126
 
3.6%
산 64
 
1.8%
Other values (140) 1120
31.8%
Decimal Number
ValueCountFrequency (%)
1 323
32.4%
2 145
14.5%
0 95
 
9.5%
3 91
 
9.1%
4 81
 
8.1%
5 67
 
6.7%
9 60
 
6.0%
6 49
 
4.9%
8 45
 
4.5%
7 41
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 1
 
16.7%
C 1
 
16.7%
E 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 178
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3526
55.9%
Common 2772
44.0%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 468
13.3%
동 314
 
8.9%
대 292
 
8.3%
북 247
 
7.0%
시 228
 
6.5%
역 223
 
6.3%
로 222
 
6.3%
광 222
 
6.3%
층 126
 
3.6%
산 64
 
1.8%
Other values (140) 1120
31.8%
Common
ValueCountFrequency (%)
1125
40.6%
1 323
 
11.7%
( 221
 
8.0%
) 221
 
8.0%
, 178
 
6.4%
2 145
 
5.2%
0 95
 
3.4%
3 91
 
3.3%
4 81
 
2.9%
5 67
 
2.4%
Other values (7) 225
 
8.1%
Latin
ValueCountFrequency (%)
B 3
50.0%
A 1
 
16.7%
C 1
 
16.7%
E 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3526
55.9%
ASCII 2778
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1125
40.5%
1 323
 
11.6%
( 221
 
8.0%
) 221
 
8.0%
, 178
 
6.4%
2 145
 
5.2%
0 95
 
3.4%
3 91
 
3.3%
4 81
 
2.9%
5 67
 
2.4%
Other values (11) 231
 
8.3%
Hangul
ValueCountFrequency (%)
구 468
13.3%
동 314
 
8.9%
대 292
 
8.3%
북 247
 
7.0%
시 228
 
6.5%
역 223
 
6.3%
로 222
 
6.3%
광 222
 
6.3%
층 126
 
3.6%
산 64
 
1.8%
Other values (140) 1120
31.8%

소재지(지번)
Text

Distinct212
Distinct (%)96.4%
Missing1
Missing (%)0.5%
Memory size1.9 KiB
2023-12-13T02:47:34.786529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length24.05
Min length16

Characters and Unicode

Total characters5291
Distinct characters149
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)93.2%

Sample

1st row대구광역시 북구 학정동 936번지 1호 1층
2nd row대구광역시 북구 산격동 1313번지 61호
3rd row대구광역시 북구 동천동 953번지 1호 1층 106호
4th row대구광역시 북구 태전동422-16
5th row대구광역시 북구 동천동 896번지 5호 로데오프라자 103호
ValueCountFrequency (%)
대구광역시 220
18.9%
북구 220
18.9%
1층 76
 
6.5%
동천동 26
 
2.2%
1호 24
 
2.1%
4호 17
 
1.5%
태전동 16
 
1.4%
산격동 15
 
1.3%
3호 15
 
1.3%
2호 14
 
1.2%
Other values (315) 520
44.7%
2023-12-13T02:47:35.314906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
943
17.8%
구 450
 
8.5%
1 331
 
6.3%
동 258
 
4.9%
대 241
 
4.6%
역 222
 
4.2%
시 222
 
4.2%
광 221
 
4.2%
북 221
 
4.2%
2 163
 
3.1%
Other values (139) 2019
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3026
57.2%
Decimal Number 1238
23.4%
Space Separator 943
 
17.8%
Dash Punctuation 62
 
1.2%
Other Punctuation 7
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 450
14.9%
동 258
 
8.5%
대 241
 
8.0%
역 222
 
7.3%
시 222
 
7.3%
광 221
 
7.3%
북 221
 
7.3%
호 159
 
5.3%
지 154
 
5.1%
번 152
 
5.0%
Other values (118) 726
24.0%
Decimal Number
ValueCountFrequency (%)
1 331
26.7%
2 163
13.2%
3 149
12.0%
0 105
 
8.5%
4 92
 
7.4%
9 92
 
7.4%
6 88
 
7.1%
7 83
 
6.7%
5 71
 
5.7%
8 64
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
E 1
25.0%
A 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
943
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3026
57.2%
Common 2260
42.7%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 450
14.9%
동 258
 
8.5%
대 241
 
8.0%
역 222
 
7.3%
시 222
 
7.3%
광 221
 
7.3%
북 221
 
7.3%
호 159
 
5.3%
지 154
 
5.1%
번 152
 
5.0%
Other values (118) 726
24.0%
Common
ValueCountFrequency (%)
943
41.7%
1 331
 
14.6%
2 163
 
7.2%
3 149
 
6.6%
0 105
 
4.6%
4 92
 
4.1%
9 92
 
4.1%
6 88
 
3.9%
7 83
 
3.7%
5 71
 
3.1%
Other values (7) 143
 
6.3%
Latin
ValueCountFrequency (%)
B 2
40.0%
c 1
20.0%
E 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3026
57.2%
ASCII 2265
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
943
41.6%
1 331
 
14.6%
2 163
 
7.2%
3 149
 
6.6%
0 105
 
4.6%
4 92
 
4.1%
9 92
 
4.1%
6 88
 
3.9%
7 83
 
3.7%
5 71
 
3.1%
Other values (11) 148
 
6.5%
Hangul
ValueCountFrequency (%)
구 450
14.9%
동 258
 
8.5%
대 241
 
8.0%
역 222
 
7.3%
시 222
 
7.3%
광 221
 
7.3%
북 221
 
7.3%
호 159
 
5.3%
지 154
 
5.1%
번 152
 
5.0%
Other values (118) 726
24.0%

위도
Text

Distinct206
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T02:47:35.618732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.828054
Min length9

Characters and Unicode

Total characters2393
Distinct characters12
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

Unique194 ?
Unique (%)87.8%

Sample

1st row35.95174724
2nd row35.89372413
3rd row35.94398623
4th row35.92260868
5th row35.94307553
ValueCountFrequency (%)
35.8989722 3
 
1.4%
35.92085908 3
 
1.4%
35.89891339 3
 
1.4%
35.94343993 2
 
0.9%
35.92137191 2
 
0.9%
35.94184552 2
 
0.9%
35.9359091 2
 
0.9%
35.87990724 2
 
0.9%
35.89268432 2
 
0.9%
35.93089963 2
 
0.9%
Other values (196) 198
89.6%
2023-12-13T02:47:36.093640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 408
17.0%
5 366
15.3%
9 319
13.3%
8 284
11.9%
. 221
9.2%
2 155
 
6.5%
4 146
 
6.1%
7 134
 
5.6%
1 133
 
5.6%
6 122
 
5.1%
Other values (2) 105
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2171
90.7%
Other Punctuation 222
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 408
18.8%
5 366
16.9%
9 319
14.7%
8 284
13.1%
2 155
 
7.1%
4 146
 
6.7%
7 134
 
6.2%
1 133
 
6.1%
6 122
 
5.6%
0 104
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 221
99.5%
' 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 2393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 408
17.0%
5 366
15.3%
9 319
13.3%
8 284
11.9%
. 221
9.2%
2 155
 
6.5%
4 146
 
6.1%
7 134
 
5.6%
1 133
 
5.6%
6 122
 
5.1%
Other values (2) 105
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 408
17.0%
5 366
15.3%
9 319
13.3%
8 284
11.9%
. 221
9.2%
2 155
 
6.5%
4 146
 
6.1%
7 134
 
5.6%
1 133
 
5.6%
6 122
 
5.1%
Other values (2) 105
 
4.4%

경도
Real number (ℝ)

Distinct206
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57828
Minimum128.5099
Maximum128.62814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T02:47:36.305830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5099
5-th percentile128.54651
Q1128.55571
median128.57275
Q3128.60493
95-th percentile128.62018
Maximum128.62814
Range0.1182431
Interquartile range (IQR)0.0492186

Descriptive statistics

Standard deviation0.027298283
Coefficient of variation (CV)0.00021230867
Kurtosis-1.0592061
Mean128.57828
Median Absolute Deviation (MAD)0.0236391
Skewness0.043331588
Sum28415.799
Variance0.00074519626
MonotonicityNot monotonic
2023-12-13T02:47:36.513547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5988176 3
 
1.4%
128.6110041 3
 
1.4%
128.612519 3
 
1.4%
128.6104758 2
 
0.9%
128.6226033 2
 
0.9%
128.549446 2
 
0.9%
128.5988241 2
 
0.9%
128.5629842 2
 
0.9%
128.5478144 2
 
0.9%
128.565314 2
 
0.9%
Other values (196) 198
89.6%
ValueCountFrequency (%)
128.5098975 1
0.5%
128.5106377 1
0.5%
128.5145507 1
0.5%
128.5149757 1
0.5%
128.5426126 1
0.5%
128.5429342 1
0.5%
128.5434455 1
0.5%
128.5435775 1
0.5%
128.5440248 1
0.5%
128.5458269 1
0.5%
ValueCountFrequency (%)
128.6281406 1
0.5%
128.627348 1
0.5%
128.624802 1
0.5%
128.6247378 1
0.5%
128.623981 1
0.5%
128.6226033 2
0.9%
128.6223066 1
0.5%
128.6221597 1
0.5%
128.6218732 1
0.5%
128.6212532 1
0.5%

전화번호
Text

Distinct205
Distinct (%)93.2%
Missing1
Missing (%)0.5%
Memory size1.9 KiB
2023-12-13T02:47:36.861001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2640
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

Unique197 ?
Unique (%)89.5%

Sample

1st row053-243-3738
2nd row053-268-3929
3rd row053-311-7535
4th row053-312-3525
5th row053-313-0391
ValueCountFrequency (%)
000-000-0000 8
 
3.6%
053-954-7857 3
 
1.4%
053-323-8736 2
 
0.9%
053-941-1155 2
 
0.9%
053-941-2669 2
 
0.9%
053-942-5252 2
 
0.9%
053-313-3328 2
 
0.9%
053-261-7901 2
 
0.9%
053-355-0023 1
 
0.5%
053-326-7720 1
 
0.5%
Other values (195) 195
88.6%
2023-12-13T02:47:37.341065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 475
18.0%
- 440
16.7%
0 408
15.5%
5 389
14.7%
2 214
8.1%
1 153
 
5.8%
9 137
 
5.2%
8 112
 
4.2%
7 110
 
4.2%
4 101
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2200
83.3%
Dash Punctuation 440
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 475
21.6%
0 408
18.5%
5 389
17.7%
2 214
9.7%
1 153
 
7.0%
9 137
 
6.2%
8 112
 
5.1%
7 110
 
5.0%
4 101
 
4.6%
6 101
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 440
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 475
18.0%
- 440
16.7%
0 408
15.5%
5 389
14.7%
2 214
8.1%
1 153
 
5.8%
9 137
 
5.2%
8 112
 
4.2%
7 110
 
4.2%
4 101
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 475
18.0%
- 440
16.7%
0 408
15.5%
5 389
14.7%
2 214
8.1%
1 153
 
5.8%
9 137
 
5.2%
8 112
 
4.2%
7 110
 
4.2%
4 101
 
3.8%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-07-28
221 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-28
2nd row2023-07-28
3rd row2023-07-28
4th row2023-07-28
5th row2023-07-28

Common Values

ValueCountFrequency (%)
2023-07-28 221
100.0%

Length

2023-12-13T02:47:37.544989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:47:37.669942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-28 221
100.0%

Interactions

2023-12-13T02:47:31.959670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:47:32.123168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:47:32.277933image/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.
2023-12-13T02:47:32.398157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

기관명운영상태소재지(도로명)소재지(지번)위도경도전화번호데이터 기준일자
0튼튼약국운영대구광역시 북구 학정로106길 10, 1층 (학정동)대구광역시 북구 학정동 936번지 1호 1층35.95174724128.566569053-243-37382023-07-28
1화창한약국운영대구광역시 북구 산격로8길 35-1 (산격동)대구광역시 북구 산격동 1313번지 61호35.89372413128.609253053-268-39292023-07-28
2진약국운영대구광역시 북구 동천로23길 30-23, 1층 106호 (동천동)대구광역시 북구 동천동 953번지 1호 1층 106호35.94398623128.557067053-311-75352023-07-28
3태전제일약국운영대구광역시 북구 칠곡중앙대로 302 (태전동)대구광역시 북구 태전동422-1635.92260868128.54715053-312-35252023-07-28
4참약국운영대구광역시 북구 학정로 429, 로데오프라자 1층 103호 (동천동)대구광역시 북구 동천동 896번지 5호 로데오프라자 103호35.94307553128.563237053-313-03912023-07-28
5강북동산약국운영대구광역시 북구 팔거천동로 223, 수정빌딩 103호 (동천동)대구광역시 북구 동천동 951번지 2호 수정빌딩35.94398644128.557918053-313-38092023-07-28
6손약국위드팜손약국운영대구광역시 북구 호국로 807-45, B동 1층 (학정동)대구광역시 북구 학정동 372번지 1호 B동, 1층35.95507132128.565314053-313-75332023-07-28
7금빛약국운영대구광역시 북구 내곡로 38, 103호 (사수동)대구광역시 북구 사수동 821번지 103호35.89898859128.509897053-321-12142023-07-28
8성모온누리약국운영대구광역시 북구 칠곡중앙대로 411, 2층 (태전동, 우영펠리스)대구광역시 북구 태전동 940번지 2층35.93252619128.547996053-321-37222023-07-28
9새중앙약국운영대구광역시 북구 칠곡중앙대로 299, 1층 (태전동)대구광역시 북구 태전동 415번지 2호 1층35.92227688128.546514053-321-80862023-07-28
기관명운영상태소재지(도로명)소재지(지번)위도경도전화번호데이터 기준일자
211세복옵티마약국운영대구광역시 북구 대현남로 42, 1층 (대현동)대구광역시 북구 대현동 391번지 1호 1층35.88174388128.607717053-957-50102023-07-28
212늘행복한약국운영대구광역시 북구 호국로 219 (서변동, 대성빌딩 118)대구광역시 북구 서변동 1786번지 대성빌딩 118호35.92137191128.598824053-958-92982023-07-28
213혜인약국운영대구광역시 북구 산격로 50, 1층 (산격동)대구광역시 북구 산격동 1408번지 19호 1층35.89511578128.6054053-959-48052023-07-28
214이베약국운영대구광역시 북구 호국로 807-9(학정동)대구광역시 북구 학정동 469-335.956909128.56591053-323-90522023-07-28
215소담약국운영대구광역시 북구 학정로 440, 5층(구암동)대구광역시 북구 학정로 구암동 469-335.943877128.564266053-324-75822023-07-28
216건강한약국운영대구광역시 북구 팔거천동로 210, 1층(동천동)대구광역시 북구 팔거천동로 동천동 469-335.942891128.558459<NA>2023-07-28
217쉼표약국운영대구광역시 북구 칠곡중앙대로 411, 2층 (태전동, 우영펠리스)대구광역시 북구 칠곡중앙대로 층 태전동, 우영펠리스 469-335.932744128.547973053-942-96682023-07-28
218후문약국운영대구광역시 북구 연암로 170 (산격동)대구광역시 북구 산격동 469-335.899515128.596585053-311-80792023-07-28
219이백세약국운영대구광역시 북구 복현로 34-1 (복현동)대구광역시 북구 복현동 469-335.895099'128.624802053-651-55002023-07-28
220건중약국운영대구광역시 북구 동북로 244, 1층 101호(복현동)대구광역시 북구 동북로 층 복현동 469-335.898638128.610859053-656-42072023-07-28

Duplicate rows

Most frequently occurring

기관명운영상태소재지(도로명)소재지(지번)위도경도전화번호데이터 기준일자# duplicates
5연합약국운영대구광역시 북구 동북로 170 (산격동)대구광역시 북구 산격3동1260-735.8989722128.611004053-954-78572023-07-283
0강남당약국운영대구광역시 북구 신암로 99, 1층 (대현동)대구광역시 북구 대현동 277번지 13호 1층35.87990724128.610476053-941-26692023-07-282
1강북약국운영대구광역시 북구 칠곡중앙대로 450, 1층 101호 (읍내동)대구광역시 북구 읍내동 1341번지 1층 101호35.9359091128.549446053-323-87362023-07-282
2건강백세약국운영대구광역시 북구 동북로 146 (산격동)대구광역시 북구 산격4동 1207번지 43호35.90013487128.608778053-942-52522023-07-282
3다나약국운영대구광역시 북구 동북로 297 (복현동)대구광역시 북구 복현2동364-135.89268432128.622603053-941-11552023-07-282
4아이맘약국운영대구광역시 북구 팔거천동로 217, 1층 (동천동)대구광역시 북구 동천동 952번지 1호 1층35.94343993128.557826053-313-33282023-07-282
6편안약국운영대구광역시 북구 칠곡중앙대로 393, 3층 (태전동)대구광역시 북구 태전동 1063번지 3층35.93089963128.547814053-261-79012023-07-282