Overview

Dataset statistics

Number of variables6
Number of observations6090
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory291.5 KiB
Average record size in memory49.0 B

Variable types

Text4
Categorical1
Numeric1

Dataset

Description코로나 19 경구용 치료제 담당약국 리스트를 조회합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3028

Alerts

시군구코드 is highly overall correlated with 시도명High correlation
시도명 is highly overall correlated with 시군구코드High correlation
암호화된요양기호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:56:54.561135
Analysis finished2024-01-09 20:56:55.779752
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

요양기관명
Text

Distinct3575
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2024-01-10T05:56:55.978218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length5.1243021
Min length3

Characters and Unicode

Total characters31207
Distinct characters554
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2947 ?
Unique (%)48.4%

Sample

1st row하늘그린약국(영종)
2nd row백제약국
3rd row종로약국
4th row주안정약국
5th row별온누리약국
ValueCountFrequency (%)
우리약국 51
 
0.8%
약국 42
 
0.7%
조은약국 39
 
0.6%
중앙약국 36
 
0.6%
하나약국 34
 
0.5%
건강약국 34
 
0.5%
행복한약국 29
 
0.5%
사랑약국 27
 
0.4%
수약국 26
 
0.4%
하나로약국 25
 
0.4%
Other values (3583) 5864
94.5%
2024-01-10T05:56:56.364031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 6106
 
19.6%
국 6098
 
19.5%
리 862
 
2.8%
온 580
 
1.9%
누 544
 
1.7%
한 337
 
1.1%
대 276
 
0.9%
우 262
 
0.8%
은 257
 
0.8%
사 254
 
0.8%
Other values (544) 15631
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30721
98.4%
Decimal Number 292
 
0.9%
Space Separator 118
 
0.4%
Uppercase Letter 30
 
0.1%
Other Punctuation 23
 
0.1%
Lowercase Letter 11
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 6106
19.9%
국 6098
19.8%
리 862
 
2.8%
온 580
 
1.9%
누 544
 
1.8%
한 337
 
1.1%
대 276
 
0.9%
우 262
 
0.9%
은 257
 
0.8%
사 254
 
0.8%
Other values (506) 15145
49.3%
Uppercase Letter
ValueCountFrequency (%)
M 5
16.7%
K 4
13.3%
C 4
13.3%
S 3
10.0%
G 3
10.0%
L 2
 
6.7%
E 2
 
6.7%
D 2
 
6.7%
A 1
 
3.3%
H 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
3 68
23.3%
5 59
20.2%
6 57
19.5%
2 36
12.3%
1 36
12.3%
4 20
 
6.8%
0 8
 
2.7%
8 4
 
1.4%
7 2
 
0.7%
9 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
& 6
26.1%
; 5
21.7%
/ 5
21.7%
# 5
21.7%
. 1
 
4.3%
？ 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
45.5%
m 2
 
18.2%
i 2
 
18.2%
r 1
 
9.1%
p 1
 
9.1%
Space Separator
ValueCountFrequency (%)
118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30721
98.4%
Common 445
 
1.4%
Latin 41
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 6106
19.9%
국 6098
19.8%
리 862
 
2.8%
온 580
 
1.9%
누 544
 
1.8%
한 337
 
1.1%
대 276
 
0.9%
우 262
 
0.9%
은 257
 
0.8%
사 254
 
0.8%
Other values (506) 15145
49.3%
Common
ValueCountFrequency (%)
118
26.5%
3 68
15.3%
5 59
13.3%
6 57
12.8%
2 36
 
8.1%
1 36
 
8.1%
4 20
 
4.5%
0 8
 
1.8%
& 6
 
1.3%
( 5
 
1.1%
Other values (10) 32
 
7.2%
Latin
ValueCountFrequency (%)
M 5
12.2%
e 5
12.2%
K 4
9.8%
C 4
9.8%
S 3
 
7.3%
G 3
 
7.3%
m 2
 
4.9%
i 2
 
4.9%
L 2
 
4.9%
E 2
 
4.9%
Other values (8) 9
22.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30721
98.4%
ASCII 485
 
1.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 6106
19.9%
국 6098
19.8%
리 862
 
2.8%
온 580
 
1.9%
누 544
 
1.8%
한 337
 
1.1%
대 276
 
0.9%
우 262
 
0.9%
은 257
 
0.8%
사 254
 
0.8%
Other values (506) 15145
49.3%
ASCII
ValueCountFrequency (%)
118
24.3%
3 68
14.0%
5 59
12.2%
6 57
11.8%
2 36
 
7.4%
1 36
 
7.4%
4 20
 
4.1%
0 8
 
1.6%
& 6
 
1.2%
( 5
 
1.0%
Other values (27) 72
14.8%
None
ValueCountFrequency (%)
？ 1
100.0%

시도명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
경기도
1564 
서울특별시
813 
부산광역시
487 
경상남도
444 
인천광역시
329 
Other values (12)
2453 

Length

Max length7
Median length5
Mean length4.3037767
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 1564
25.7%
서울특별시 813
13.3%
부산광역시 487
 
8.0%
경상남도 444
 
7.3%
인천광역시 329
 
5.4%
경상북도 310
 
5.1%
전라남도 292
 
4.8%
전라북도 272
 
4.5%
대전광역시 250
 
4.1%
광주광역시 244
 
4.0%
Other values (7) 1085
17.8%

Length

2024-01-10T05:56:56.507166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 1564
25.7%
서울특별시 813
13.3%
부산광역시 487
 
8.0%
경상남도 444
 
7.3%
인천광역시 329
 
5.4%
경상북도 310
 
5.1%
전라남도 292
 
4.8%
전라북도 272
 
4.5%
대전광역시 250
 
4.1%
광주광역시 244
 
4.0%
Other values (7) 1085
17.8%

암호화된요양기호
Text

UNIQUE 

Distinct6090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2024-01-10T05:56:56.771173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length80
Mean length80
Min length80

Characters and Unicode

Total characters487200
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6090 ?
Unique (%)100.0%

Sample

1st rowJDQ4MTYyMiM1MSMkMSMkMCMkMDMkMzgxMzUxIzQxIyQxIyQ3IyQ4OSQzNjE0ODEjNTEjJDEjJDYjJDgz
2nd rowJDQ4MTYyMiM1MSMkMSMkMCMkMDMkMzgxNzAyIzMxIyQxIyQzIyQ5OSQyNjE0ODEjNDEjJDEjJDgjJDgz
3rd rowJDU4MTI3MSM1MSMkMSMkMCMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ3MiQzNjEwMDIjNDEjJDEjJDgjJDgz
4th rowJDU4MTI3MSM1MSMkMSMkMCMkMDMkMzgxMzUxIzUxIyQxIyQ1IyQxMyQyNjE4MzIjODEjJDEjJDYjJDgz
5th rowJDU4MTI3MSM1MSMkMSMkMCMkMDMkNDgxOTYxIzIxIyQxIyQ1IyQ4MiQyNjEwMDIjNDEjJDEjJDQjJDgz
ValueCountFrequency (%)
jdq4mtyymim1msmkmsmkmcmkmdmkmzgxmzuxizqxiyqxiyq3iyq4osqznje0odejntejjdejjdyjjdgz 1
 
< 0.1%
jdq4mtyymim4msmkmsmkmcmkmdmkmzgxmzuxizexiyqyiyq3iyqwmcq0njewmdijntejjdejjdijjdgz 1
 
< 0.1%
jdq4mtyymim4msmkmsmkncmkmdmkmzgxnzayizixiyqxiyq1iyq2miqznjeymjijodejjdejjdijjdgz 1
 
< 0.1%
jdu4mti3msm1msmkmsmkmcmkmdmkmzgxotyxizixiyqxiyq5iyq3osqznje4mzijndejjdejjdqjjdgz 1
 
< 0.1%
jdq4mtyymim4msmkmsmkncmkmdmkndgxmzuxizexiyqxiyq3iyq4miqynjewmdijnjejjdejjdajjdgz 1
 
< 0.1%
jdq4mtg4msm1msmkmsmkocmkmdmkmzgxmzuxizexiyqxiyqziyq5osqynjeymjijndejjdejjdgjjdgz 1
 
< 0.1%
jdq4mtyymim2msmkmsmknimkmdmkmzgxmzuxizuxiyqxiyqxiyq4miqynje0odejodejjdejjdijjdgz 1
 
< 0.1%
jdq4mtyymim2msmkmsmknimkmdmkmzgxotyxizmxiyqxiyq3iyq5osqznje0odejnjejjdejjdajjdgz 1
 
< 0.1%
jdq4mtyymim4msmkmsmkncmkmdmkndgxmzuxizixiyqxiyqxiyqxmyqynjeymjijndejjdejjdgjjdgz 1
 
< 0.1%
jdq4mtyymim3msmkmsmkmcmkmdmkmzgxmtkxizexiyqyiyqziyqwmcqynje4mzijnjejjdejjdajjdgz 1
 
< 0.1%
Other values (6080) 6080
99.8%
2024-01-10T05:56:57.140160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 81694
16.8%
D 38956
 
8.0%
j 33342
 
6.8%
I 32849
 
6.7%
Q 30946
 
6.4%
y 28576
 
5.9%
k 25667
 
5.3%
x 24875
 
5.1%
z 24471
 
5.0%
J 24360
 
5.0%
Other values (18) 141464
29.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 298496
61.3%
Lowercase Letter 162405
33.3%
Decimal Number 26299
 
5.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 81694
27.4%
D 38956
13.1%
I 32849
11.0%
Q 30946
 
10.4%
J 24360
 
8.2%
E 21269
 
7.1%
N 16417
 
5.5%
S 16002
 
5.4%
T 10457
 
3.5%
O 6684
 
2.2%
Other values (4) 18862
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
j 33342
20.5%
y 28576
17.6%
k 25667
15.8%
x 24875
15.3%
z 24471
15.1%
g 15123
9.3%
i 7307
 
4.5%
w 3044
 
1.9%
Decimal Number
ValueCountFrequency (%)
4 10542
40.1%
1 4798
18.2%
3 4673
17.8%
0 3058
 
11.6%
5 1840
 
7.0%
2 1388
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 460901
94.6%
Common 26299
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 81694
17.7%
D 38956
 
8.5%
j 33342
 
7.2%
I 32849
 
7.1%
Q 30946
 
6.7%
y 28576
 
6.2%
k 25667
 
5.6%
x 24875
 
5.4%
z 24471
 
5.3%
J 24360
 
5.3%
Other values (12) 115165
25.0%
Common
ValueCountFrequency (%)
4 10542
40.1%
1 4798
18.2%
3 4673
17.8%
0 3058
 
11.6%
5 1840
 
7.0%
2 1388
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 487200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 81694
16.8%
D 38956
 
8.0%
j 33342
 
6.8%
I 32849
 
6.7%
Q 30946
 
6.4%
y 28576
 
5.9%
k 25667
 
5.3%
x 24875
 
5.1%
z 24471
 
5.0%
J 24360
 
5.0%
Other values (18) 141464
29.0%

시군구명
Text

Distinct231
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2024-01-10T05:56:57.453893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.7121511
Min length2

Characters and Unicode

Total characters22607
Distinct characters144
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row중구
2nd row동구
3rd row동구
4th row미추홀구
5th row연수구
ValueCountFrequency (%)
서구 207
 
2.9%
북구 171
 
2.4%
남구 167
 
2.3%
수원시 167
 
2.3%
용인시 147
 
2.0%
동구 140
 
1.9%
창원시 136
 
1.9%
중구 136
 
1.9%
성남시 127
 
1.8%
전주시 114
 
1.6%
Other values (230) 5709
79.1%
2024-01-10T05:56:57.906597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 3599
 
15.9%
시 2985
 
13.2%
1131
 
5.0%
군 820
 
3.6%
주 696
 
3.1%
산 682
 
3.0%
양 562
 
2.5%
남 549
 
2.4%
성 534
 
2.4%
원 529
 
2.3%
Other values (134) 10520
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21476
95.0%
Space Separator 1131
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3599
 
16.8%
시 2985
 
13.9%
군 820
 
3.8%
주 696
 
3.2%
산 682
 
3.2%
양 562
 
2.6%
남 549
 
2.6%
성 534
 
2.5%
원 529
 
2.5%
서 497
 
2.3%
Other values (133) 10023
46.7%
Space Separator
ValueCountFrequency (%)
1131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21476
95.0%
Common 1131
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3599
 
16.8%
시 2985
 
13.9%
군 820
 
3.8%
주 696
 
3.2%
산 682
 
3.2%
양 562
 
2.6%
남 549
 
2.6%
성 534
 
2.5%
원 529
 
2.5%
서 497
 
2.3%
Other values (133) 10023
46.7%
Common
ValueCountFrequency (%)
1131
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21476
95.0%
ASCII 1131
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 3599
 
16.8%
시 2985
 
13.9%
군 820
 
3.8%
주 696
 
3.2%
산 682
 
3.2%
양 562
 
2.6%
남 549
 
2.6%
성 534
 
2.5%
원 529
 
2.5%
서 497
 
2.3%
Other values (133) 10023
46.7%
ASCII
ValueCountFrequency (%)
1131
100.0%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct253
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35569.389
Minimum11110
Maximum51830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-01-10T05:56:58.038614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11380
Q127710
median41210
Q345113
95-th percentile48870
Maximum51830
Range40720
Interquartile range (IQR)17403

Descriptive statistics

Standard deviation12101.311
Coefficient of variation (CV)0.34021699
Kurtosis-0.50049158
Mean35569.389
Median Absolute Deviation (MAD)6960
Skewness-0.79082783
Sum2.1661758 × 108
Variance1.4644172 × 108
MonotonicityNot monotonic
2024-01-10T05:56:58.189762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41590 81
 
1.3%
28237 76
 
1.2%
48250 75
 
1.2%
41360 74
 
1.2%
41150 70
 
1.1%
29170 70
 
1.1%
30170 66
 
1.1%
26350 66
 
1.1%
41135 66
 
1.1%
30200 63
 
1.0%
Other values (243) 5383
88.4%
ValueCountFrequency (%)
11110 23
0.4%
11140 16
 
0.3%
11170 15
 
0.2%
11200 28
0.5%
11215 55
0.9%
11230 24
0.4%
11260 18
 
0.3%
11290 35
0.6%
11305 16
 
0.3%
11320 33
0.5%
ValueCountFrequency (%)
51830 2
 
< 0.1%
51820 2
 
< 0.1%
51810 7
0.1%
51800 7
0.1%
51790 4
 
0.1%
51780 9
0.1%
51770 5
0.1%
51760 5
0.1%
51750 12
0.2%
51730 10
0.2%

요양기관주소
Text

Distinct6086
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2024-01-10T05:56:58.490210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length68
Mean length35.711658
Min length23

Characters and Unicode

Total characters217484
Distinct characters671
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6082 ?
Unique (%)99.9%

Sample

1st row인천광역시 중구 신도시남로 137&#44; 1층 (운서동)
2nd row인천광역시 동구 화수로 18&#44; 동부센트레빌 상가 103호 (송현동)
3rd row인천광역시 동구 송림로 96&#44; 1층 (송림동&#44; 송림메디칼)
4th row인천광역시 미추홀구 미추홀대로719번길 4&#44; 부성PINE 104&#44;105&#44;106호 (주안동)
5th row인천광역시 연수구 하모니로 158&#44; 송도타임스페이스 A-110&#44;111&#44;112호 (송도동)
ValueCountFrequency (%)
경기도 1564
 
4.0%
1층 1480
 
3.8%
서울특별시 813
 
2.1%
부산광역시 487
 
1.3%
경상남도 444
 
1.1%
인천광역시 329
 
0.8%
경상북도 309
 
0.8%
전라남도 292
 
0.8%
전라북도 272
 
0.7%
대전광역시 250
 
0.6%
Other values (9270) 32537
83.9%
2024-01-10T05:56:58.955461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32709
 
15.0%
4 17003
 
7.8%
1 8259
 
3.8%
& 7438
 
3.4%
; 7436
 
3.4%
# 7436
 
3.4%
동 6323
 
2.9%
로 5771
 
2.7%
( 5765
 
2.7%
) 5764
 
2.7%
Other values (661) 113580
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107080
49.2%
Decimal Number 42578
 
19.6%
Space Separator 32709
 
15.0%
Other Punctuation 22343
 
10.3%
Open Punctuation 5765
 
2.7%
Close Punctuation 5764
 
2.7%
Dash Punctuation 786
 
0.4%
Uppercase Letter 344
 
0.2%
Lowercase Letter 67
 
< 0.1%
Math Symbol 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6323
 
5.9%
로 5771
 
5.4%
시 5736
 
5.4%
구 4115
 
3.8%
도 3989
 
3.7%
경 2620
 
2.4%
광 2440
 
2.3%
호 2327
 
2.2%
산 2197
 
2.1%
남 2052
 
1.9%
Other values (591) 69510
64.9%
Uppercase Letter
ValueCountFrequency (%)
B 58
16.9%
A 51
14.8%
S 25
 
7.3%
C 25
 
7.3%
K 19
 
5.5%
E 15
 
4.4%
I 14
 
4.1%
T 14
 
4.1%
M 13
 
3.8%
D 11
 
3.2%
Other values (15) 99
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 20
29.9%
r 6
 
9.0%
a 5
 
7.5%
d 4
 
6.0%
s 4
 
6.0%
o 4
 
6.0%
b 3
 
4.5%
c 3
 
4.5%
i 3
 
4.5%
w 2
 
3.0%
Other values (10) 13
19.4%
Decimal Number
ValueCountFrequency (%)
4 17003
39.9%
1 8259
19.4%
2 3541
 
8.3%
0 3250
 
7.6%
3 2606
 
6.1%
5 1905
 
4.5%
6 1703
 
4.0%
7 1562
 
3.7%
8 1480
 
3.5%
9 1269
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 7438
33.3%
; 7436
33.3%
# 7436
33.3%
· 16
 
0.1%
. 11
 
< 0.1%
' 3
 
< 0.1%
@ 2
 
< 0.1%
？ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
32709
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5765
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 786
100.0%
Math Symbol
ValueCountFrequency (%)
~ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109990
50.6%
Hangul 107080
49.2%
Latin 414
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6323
 
5.9%
로 5771
 
5.4%
시 5736
 
5.4%
구 4115
 
3.8%
도 3989
 
3.7%
경 2620
 
2.4%
광 2440
 
2.3%
호 2327
 
2.2%
산 2197
 
2.1%
남 2052
 
1.9%
Other values (591) 69510
64.9%
Latin
ValueCountFrequency (%)
B 58
 
14.0%
A 51
 
12.3%
S 25
 
6.0%
C 25
 
6.0%
e 20
 
4.8%
K 19
 
4.6%
E 15
 
3.6%
I 14
 
3.4%
T 14
 
3.4%
M 13
 
3.1%
Other values (37) 160
38.6%
Common
ValueCountFrequency (%)
32709
29.7%
4 17003
15.5%
1 8259
 
7.5%
& 7438
 
6.8%
; 7436
 
6.8%
# 7436
 
6.8%
( 5765
 
5.2%
) 5764
 
5.2%
2 3541
 
3.2%
0 3250
 
3.0%
Other values (13) 11389
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110384
50.8%
Hangul 107080
49.2%
None 17
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32709
29.6%
4 17003
15.4%
1 8259
 
7.5%
& 7438
 
6.7%
; 7436
 
6.7%
# 7436
 
6.7%
( 5765
 
5.2%
) 5764
 
5.2%
2 3541
 
3.2%
0 3250
 
2.9%
Other values (56) 11783
 
10.7%
Hangul
ValueCountFrequency (%)
동 6323
 
5.9%
로 5771
 
5.4%
시 5736
 
5.4%
구 4115
 
3.8%
도 3989
 
3.7%
경 2620
 
2.4%
광 2440
 
2.3%
호 2327
 
2.2%
산 2197
 
2.1%
남 2052
 
1.9%
Other values (591) 69510
64.9%
None
ValueCountFrequency (%)
· 16
94.1%
？ 1
 
5.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

Interactions

2024-01-10T05:56:55.527726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:56:59.039211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명시군구코드
시도명1.0000.984
시군구코드0.9841.000
2024-01-10T05:56:59.112623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드시도명
시군구코드1.0000.925
시도명0.9251.000

Missing values

2024-01-10T05:56:55.639985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:56:55.735063image/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

요양기관명시도명암호화된요양기호시군구명시군구코드요양기관주소
0하늘그린약국(영종)인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkMzgxMzUxIzQxIyQxIyQ3IyQ4OSQzNjE0ODEjNTEjJDEjJDYjJDgz중구28110인천광역시 중구 신도시남로 137&#44; 1층 (운서동)
1백제약국인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkMzgxNzAyIzMxIyQxIyQzIyQ5OSQyNjE0ODEjNDEjJDEjJDgjJDgz동구28140인천광역시 동구 화수로 18&#44; 동부센트레빌 상가 103호 (송현동)
2종로약국인천광역시JDU4MTI3MSM1MSMkMSMkMCMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ3MiQzNjEwMDIjNDEjJDEjJDgjJDgz동구28140인천광역시 동구 송림로 96&#44; 1층 (송림동&#44; 송림메디칼)
3주안정약국인천광역시JDU4MTI3MSM1MSMkMSMkMCMkMDMkMzgxMzUxIzUxIyQxIyQ1IyQxMyQyNjE4MzIjODEjJDEjJDYjJDgz미추홀구28177인천광역시 미추홀구 미추홀대로719번길 4&#44; 부성PINE 104&#44;105&#44;106호 (주안동)
4별온누리약국인천광역시JDU4MTI3MSM1MSMkMSMkMCMkMDMkNDgxOTYxIzIxIyQxIyQ1IyQ4MiQyNjEwMDIjNDEjJDEjJDQjJDgz연수구28185인천광역시 연수구 하모니로 158&#44; 송도타임스페이스 A-110&#44;111&#44;112호 (송도동)
5창일약국인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkMzgxMzUxIzIxIyQxIyQxIyQ4MiQzNjE0ODEjODEjJDEjJDIjJDgz남동구28200인천광역시 남동구 장승로 38&#44; (만수동)
6새은혜약국인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkNDgxMTkxIzIxIyQyIyQ5IyQwMCQyNjE0ODEjODEjJDEjJDYjJDgz부평구28237인천광역시 부평구 부흥로 285&#44; (부평동)
7계산365약국인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkNTgxMzUxIzQxIyQxIyQ3IyQ5MiQzNjEyMjIjNzEjJDEjJDgjJDgz계양구28245인천광역시 계양구 계양대로 214&#44; (계산동)
8건강백화점 온누리약국인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkNDgxMTkxIzExIyQxIyQ3IyQ3MiQzNjEyMjIjNTEjJDEjJDYjJDgz계양구28245인천광역시 계양구 계양문화로 96&#44; 강북프라자 112~113호 (용종동)
9복지온누리약국인천광역시JDQ4MTYyMiM1MSMkMSMkMCMkMDMkMzgxOTYxIzExIyQxIyQ3IyQ5MiQyNjE0ODEjNDEjJDEjJDgjJDgz서구28260인천광역시 서구 탁옥로 37&#44; 1층 107호 (심곡동&#44; 우리타워)
요양기관명시도명암호화된요양기호시군구명시군구코드요양기관주소
6080제천튼튼온누리약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxOTYxIzQxIyQxIyQ3IyQ4MiQyNjEwMDIjODEjJDEjJDIjJDgz제천시43150충청북도 제천시 청전대로 216&#44; (장락동)
6081수산약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxMzUxIzIxIyQxIyQ1IyQ4OSQzNjEyMjIjNDEjJDEjJDgjJDgz제천시43150충청북도 제천시 수산면 월악로22길 96-9&#44; 96
6082내토메디칼약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxOTYxIzQxIyQxIyQ3IyQ4OSQzNjEyMjIjNTEjJDEjJDIjJDgz제천시43150충청북도 제천시 독순로 79&#44; 내토메디컬센터 (중앙로2가)
6083드림약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxOTYxIzIxIyQxIyQ1IyQ3OSQ0NjE0ODEjNjEjJDEjJDgjJDgz제천시43150충청북도 제천시 용두천로 117&#44; (중앙로1가)
6084관기약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxMzUxIzQxIyQxIyQ3IyQ3MiQyNjEyMjIjNTEjJDEjJDYjJDgz보은군43720충청북도 보은군 마로면 관기2길 1&#44; (마로면)
6085원남약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxOTYxIzQxIyQxIyQ3IyQxMyQzNjEyMjIjNDEjJDEjJDgjJDgz보은군43720충청북도 보은군 삼승면 원남로 31-2&#44; (삼승면)
6086일편단심약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxOTYxIzMxIyQxIyQ3IyQ3MiQzNjEyMjIjNjEjJDEjJDQjJDgz영동군43740충청북도 영동군 영동읍 계산로 91&#44; (영동읍)
6087소원약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxOTYxIzExIyQxIyQzIyQ5MiQ0NjE0ODEjODEjJDEjJDIjJDgz영동군43740충청북도 영동군 영동읍 중앙로3길 6&#44; 6
6088여명약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxMzUxIzIxIyQxIyQ5IyQ3MiQzNjEyMjIjNzEjJDEjJDgjJDgz단양군43800충청북도 단양군 단양읍 도전2로 4&#44; (단양읍)
6089새희망약국충청북도JDQ4MTYyMiM1MSMkMSMkOCMkMDMkMzgxMzUxIzExIyQxIyQ3IyQ5OSQyNjE4MzIjNDEjJDEjJDgjJDgz청주시 흥덕구43113충청북도 청주시 흥덕구 사직대로 68&#44; (복대동)