Overview

Dataset statistics

Number of variables26
Number of observations5718
Missing cells19828
Missing cells (%)13.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory211.0 B

Variable types

Categorical4
Text11
Numeric3
DateTime8

Alerts

일요일_종료시간 is highly imbalanced (71.7%)Imbalance
공휴일_종료시간 is highly imbalanced (66.7%)Imbalance
도로명주소 has 111 (1.9%) missing valuesMissing
토요일_시작시간 has 1213 (21.2%) missing valuesMissing
일요일_시작시간 has 4618 (80.8%) missing valuesMissing
공휴일_시작시간 has 4304 (75.3%) missing valuesMissing
간이약도내용 has 4231 (74.0%) missing valuesMissing
비고 has 5019 (87.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:12:46.216345
Analysis finished2023-12-10 21:12:48.136442
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
수원시
566 
성남시
509 
고양시
478 
용인시
388 
부천시
380 
Other values (26)
3397 

Length

Max length4
Median length3
Mean length3.0911158
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 566
 
9.9%
성남시 509
 
8.9%
고양시 478
 
8.4%
용인시 388
 
6.8%
부천시 380
 
6.6%
화성시 315
 
5.5%
안산시 289
 
5.1%
안양시 285
 
5.0%
남양주시 276
 
4.8%
평택시 243
 
4.2%
Other values (21) 1989
34.8%

Length

2023-12-11T06:12:48.408616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 566
 
9.9%
성남시 509
 
8.9%
고양시 478
 
8.4%
용인시 388
 
6.8%
부천시 380
 
6.6%
화성시 315
 
5.5%
안산시 289
 
5.1%
안양시 285
 
5.0%
남양주시 276
 
4.8%
평택시 243
 
4.2%
Other values (21) 1989
34.8%

약국명
Text

Distinct3504
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2023-12-11T06:12:48.708226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.1526758
Min length3

Characters and Unicode

Total characters29463
Distinct characters545
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2857 ?
Unique (%)50.0%

Sample

1st row가평온누리약국
2nd row가평중앙약국
3rd row감초온누리약국
4th row고향약국
5th row굿모닝약국
ValueCountFrequency (%)
우리약국 28
 
0.5%
중앙약국 27
 
0.5%
사랑약국 25
 
0.4%
미소약국 25
 
0.4%
조은약국 22
 
0.4%
행복한약국 22
 
0.4%
수약국 21
 
0.4%
하나약국 21
 
0.4%
튼튼약국 21
 
0.4%
우리들약국 20
 
0.3%
Other values (3502) 5517
96.0%
2023-12-11T06:12:49.131881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 5750
 
19.5%
국 5733
 
19.5%
리 788
 
2.7%
온 563
 
1.9%
누 531
 
1.8%
한 383
 
1.3%
성 267
 
0.9%
정 245
 
0.8%
우 243
 
0.8%
사 239
 
0.8%
Other values (535) 14721
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29117
98.8%
Decimal Number 277
 
0.9%
Space Separator 31
 
0.1%
Uppercase Letter 20
 
0.1%
Other Punctuation 6
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 5750
 
19.7%
국 5733
 
19.7%
리 788
 
2.7%
온 563
 
1.9%
누 531
 
1.8%
한 383
 
1.3%
성 267
 
0.9%
정 245
 
0.8%
우 243
 
0.8%
사 239
 
0.8%
Other values (503) 14375
49.4%
Uppercase Letter
ValueCountFrequency (%)
M 3
15.0%
H 2
10.0%
E 2
10.0%
S 2
10.0%
T 2
10.0%
G 2
10.0%
K 2
10.0%
U 1
 
5.0%
L 1
 
5.0%
D 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
3 69
24.9%
5 64
23.1%
6 57
20.6%
1 33
11.9%
2 28
10.1%
0 14
 
5.1%
4 9
 
3.2%
7 1
 
0.4%
9 1
 
0.4%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
h 1
 
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29115
98.8%
Common 321
 
1.1%
Latin 25
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 5750
19.7%
국 5733
 
19.7%
리 788
 
2.7%
온 563
 
1.9%
누 531
 
1.8%
한 383
 
1.3%
성 267
 
0.9%
정 245
 
0.8%
우 243
 
0.8%
사 239
 
0.8%
Other values (501) 14373
49.4%
Common
ValueCountFrequency (%)
3 69
21.5%
5 64
19.9%
6 57
17.8%
1 33
10.3%
31
9.7%
2 28
8.7%
0 14
 
4.4%
4 9
 
2.8%
, 4
 
1.2%
) 2
 
0.6%
Other values (7) 10
 
3.1%
Latin
ValueCountFrequency (%)
e 3
12.0%
M 3
12.0%
H 2
 
8.0%
E 2
 
8.0%
S 2
 
8.0%
T 2
 
8.0%
G 2
 
8.0%
K 2
 
8.0%
h 1
 
4.0%
U 1
 
4.0%
Other values (5) 5
20.0%
Han
ValueCountFrequency (%)
美 1
50.0%
安 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29115
98.8%
ASCII 344
 
1.2%
CJK 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 5750
19.7%
국 5733
 
19.7%
리 788
 
2.7%
온 563
 
1.9%
누 531
 
1.8%
한 383
 
1.3%
성 267
 
0.9%
정 245
 
0.8%
우 243
 
0.8%
사 239
 
0.8%
Other values (501) 14373
49.4%
ASCII
ValueCountFrequency (%)
3 69
20.1%
5 64
18.6%
6 57
16.6%
1 33
9.6%
31
9.0%
2 28
8.1%
0 14
 
4.1%
4 9
 
2.6%
, 4
 
1.2%
e 3
 
0.9%
Other values (20) 32
9.3%
CJK
ValueCountFrequency (%)
美 1
50.0%
安 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

대표전화번호
Text

Distinct5650
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2023-12-11T06:12:49.470669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.025708
Min length10

Characters and Unicode

Total characters68763
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5634 ?
Unique (%)98.5%

Sample

1st row031-581-8777
2nd row031-581-7522
3rd row031-585-1008
4th row031-584-1902
5th row031-585-4638
ValueCountFrequency (%)
031-000-0000 52
 
0.9%
031-0000-0000 4
 
0.1%
031-223-7181 2
 
< 0.1%
070-7773-9877 2
 
< 0.1%
031-248-6742 2
 
< 0.1%
031-871-2188 2
 
< 0.1%
031-607-1300 2
 
< 0.1%
031-484-3162 2
 
< 0.1%
031-952-3033 2
 
< 0.1%
031-906-9844 2
 
< 0.1%
Other values (5640) 5646
98.7%
2023-12-11T06:12:49.935894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11315
16.5%
0 9795
14.2%
3 9540
13.9%
1 8927
13.0%
2 5022
7.3%
7 4842
7.0%
5 4452
 
6.5%
8 4004
 
5.8%
6 3837
 
5.6%
9 3545
 
5.2%
Other values (4) 3484
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57442
83.5%
Dash Punctuation 11315
 
16.5%
Math Symbol 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9795
17.1%
3 9540
16.6%
1 8927
15.5%
2 5022
8.7%
7 4842
8.4%
5 4452
7.8%
8 4004
7.0%
6 3837
 
6.7%
9 3545
 
6.2%
4 3478
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 11315
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68763
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11315
16.5%
0 9795
14.2%
3 9540
13.9%
1 8927
13.0%
2 5022
7.3%
7 4842
7.0%
5 4452
 
6.5%
8 4004
 
5.8%
6 3837
 
5.6%
9 3545
 
5.2%
Other values (4) 3484
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11315
16.5%
0 9795
14.2%
3 9540
13.9%
1 8927
13.0%
2 5022
7.3%
7 4842
7.0%
5 4452
 
6.5%
8 4004
 
5.8%
6 3837
 
5.6%
9 3545
 
5.2%
Other values (4) 3484
 
5.1%

도로명주소
Text

MISSING 

Distinct5048
Distinct (%)90.0%
Missing111
Missing (%)1.9%
Memory size44.8 KiB
2023-12-11T06:12:50.283990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length18.578027
Min length13

Characters and Unicode

Total characters104167
Distinct characters346
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4678 ?
Unique (%)83.4%

Sample

1st row경기도 가평군 가평읍 가화로 113
2nd row경기도 가평군 가평읍 연인1길 1
3rd row경기도 가평군 설악면 신천중앙로88번길 1
4th row경기도 가평군 설악면 한서로 9
5th row경기도 가평군 청평면 청평중앙로 45-1
ValueCountFrequency (%)
경기도 5607
 
21.9%
수원시 551
 
2.1%
성남시 494
 
1.9%
고양시 464
 
1.8%
용인시 385
 
1.5%
부천시 374
 
1.5%
화성시 312
 
1.2%
안산시 285
 
1.1%
안양시 278
 
1.1%
남양주시 273
 
1.1%
Other values (3390) 16618
64.8%
2023-12-11T06:12:50.757825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20034
19.2%
경 5838
 
5.6%
시 5838
 
5.6%
기 5830
 
5.6%
도 5735
 
5.5%
로 5416
 
5.2%
1 3591
 
3.4%
구 2632
 
2.5%
2 2524
 
2.4%
3 2009
 
1.9%
Other values (336) 44720
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65938
63.3%
Space Separator 20034
 
19.2%
Decimal Number 17617
 
16.9%
Dash Punctuation 575
 
0.6%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 5838
 
8.9%
시 5838
 
8.9%
기 5830
 
8.8%
도 5735
 
8.7%
로 5416
 
8.2%
구 2632
 
4.0%
양 1593
 
2.4%
길 1335
 
2.0%
안 1296
 
2.0%
남 1161
 
1.8%
Other values (323) 29264
44.4%
Decimal Number
ValueCountFrequency (%)
1 3591
20.4%
2 2524
14.3%
3 2009
11.4%
4 1575
8.9%
5 1459
8.3%
7 1394
 
7.9%
0 1344
 
7.6%
6 1304
 
7.4%
8 1274
 
7.2%
9 1143
 
6.5%
Space Separator
ValueCountFrequency (%)
20034
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 575
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65938
63.3%
Common 38229
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 5838
 
8.9%
시 5838
 
8.9%
기 5830
 
8.8%
도 5735
 
8.7%
로 5416
 
8.2%
구 2632
 
4.0%
양 1593
 
2.4%
길 1335
 
2.0%
안 1296
 
2.0%
남 1161
 
1.8%
Other values (323) 29264
44.4%
Common
ValueCountFrequency (%)
20034
52.4%
1 3591
 
9.4%
2 2524
 
6.6%
3 2009
 
5.3%
4 1575
 
4.1%
5 1459
 
3.8%
7 1394
 
3.6%
0 1344
 
3.5%
6 1304
 
3.4%
8 1274
 
3.3%
Other values (3) 1721
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65938
63.3%
ASCII 38229
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20034
52.4%
1 3591
 
9.4%
2 2524
 
6.6%
3 2009
 
5.3%
4 1575
 
4.1%
5 1459
 
3.8%
7 1394
 
3.6%
0 1344
 
3.5%
6 1304
 
3.4%
8 1274
 
3.3%
Other values (3) 1721
 
4.5%
Hangul
ValueCountFrequency (%)
경 5838
 
8.9%
시 5838
 
8.9%
기 5830
 
8.8%
도 5735
 
8.7%
로 5416
 
8.2%
구 2632
 
4.0%
양 1593
 
2.4%
길 1335
 
2.0%
안 1296
 
2.0%
남 1161
 
1.8%
Other values (323) 29264
44.4%

지번주소
Text

Distinct5658
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2023-12-11T06:12:51.055303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length49
Mean length28.358692
Min length14

Characters and Unicode

Total characters162155
Distinct characters589
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

Unique5603 ?
Unique (%)98.0%

Sample

1st row경기도 가평군 가평읍 읍내리 468-22번지
2nd row경기도 가평군 가평읍 읍내리 476-7번지 임내과의원 1층
3rd row경기도 가평군 설악면 신천리 120-3번지
4th row경기도 가평군 설악면 신천리 121-2번지
5th row경기도 가평군 청평면 청평리 465-11번지
ValueCountFrequency (%)
경기도 5718
 
16.9%
1층 1259
 
3.7%
수원시 566
 
1.7%
성남시 509
 
1.5%
고양시 478
 
1.4%
용인시 388
 
1.1%
부천시 380
 
1.1%
화성시 315
 
0.9%
안산시 289
 
0.9%
안양시 285
 
0.8%
Other values (8035) 23726
70.0%
2023-12-11T06:12:51.475761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28195
 
17.4%
1 9295
 
5.7%
지 6178
 
3.8%
기 5935
 
3.7%
시 5931
 
3.7%
도 5851
 
3.6%
동 5789
 
3.6%
경 5781
 
3.6%
번 5704
 
3.5%
- 4406
 
2.7%
Other values (579) 79090
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94333
58.2%
Decimal Number 34108
 
21.0%
Space Separator 28195
 
17.4%
Dash Punctuation 4406
 
2.7%
Uppercase Letter 492
 
0.3%
Other Punctuation 338
 
0.2%
Lowercase Letter 105
 
0.1%
Open Punctuation 63
 
< 0.1%
Close Punctuation 63
 
< 0.1%
Math Symbol 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6178
 
6.5%
기 5935
 
6.3%
시 5931
 
6.3%
도 5851
 
6.2%
동 5789
 
6.1%
경 5781
 
6.1%
번 5704
 
6.0%
호 2961
 
3.1%
구 2722
 
2.9%
양 1785
 
1.9%
Other values (509) 45696
48.4%
Uppercase Letter
ValueCountFrequency (%)
B 81
16.5%
A 73
14.8%
S 39
 
7.9%
C 34
 
6.9%
I 29
 
5.9%
T 25
 
5.1%
E 22
 
4.5%
M 18
 
3.7%
R 18
 
3.7%
K 17
 
3.5%
Other values (16) 136
27.6%
Lowercase Letter
ValueCountFrequency (%)
e 33
31.4%
r 10
 
9.5%
c 8
 
7.6%
a 7
 
6.7%
n 6
 
5.7%
b 6
 
5.7%
i 5
 
4.8%
t 5
 
4.8%
o 5
 
4.8%
m 4
 
3.8%
Other values (9) 16
15.2%
Decimal Number
ValueCountFrequency (%)
1 9295
27.3%
0 4117
12.1%
2 3774
11.1%
3 3248
 
9.5%
4 2827
 
8.3%
5 2568
 
7.5%
6 2328
 
6.8%
7 2178
 
6.4%
8 2002
 
5.9%
9 1771
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 310
91.7%
. 23
 
6.8%
· 1
 
0.3%
/ 1
 
0.3%
@ 1
 
0.3%
' 1
 
0.3%
& 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅲ 3
42.9%
Ⅳ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
28195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94333
58.2%
Common 67218
41.5%
Latin 604
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6178
 
6.5%
기 5935
 
6.3%
시 5931
 
6.3%
도 5851
 
6.2%
동 5789
 
6.1%
경 5781
 
6.1%
번 5704
 
6.0%
호 2961
 
3.1%
구 2722
 
2.9%
양 1785
 
1.9%
Other values (509) 45696
48.4%
Latin
ValueCountFrequency (%)
B 81
 
13.4%
A 73
 
12.1%
S 39
 
6.5%
C 34
 
5.6%
e 33
 
5.5%
I 29
 
4.8%
T 25
 
4.1%
E 22
 
3.6%
M 18
 
3.0%
R 18
 
3.0%
Other values (38) 232
38.4%
Common
ValueCountFrequency (%)
28195
41.9%
1 9295
 
13.8%
- 4406
 
6.6%
0 4117
 
6.1%
2 3774
 
5.6%
3 3248
 
4.8%
4 2827
 
4.2%
5 2568
 
3.8%
6 2328
 
3.5%
7 2178
 
3.2%
Other values (12) 4282
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94333
58.2%
ASCII 67814
41.8%
Number Forms 7
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28195
41.6%
1 9295
 
13.7%
- 4406
 
6.5%
0 4117
 
6.1%
2 3774
 
5.6%
3 3248
 
4.8%
4 2827
 
4.2%
5 2568
 
3.8%
6 2328
 
3.4%
7 2178
 
3.2%
Other values (56) 4878
 
7.2%
Hangul
ValueCountFrequency (%)
지 6178
 
6.5%
기 5935
 
6.3%
시 5931
 
6.3%
도 5851
 
6.2%
동 5789
 
6.1%
경 5781
 
6.1%
번 5704
 
6.0%
호 2961
 
3.1%
구 2722
 
2.9%
양 1785
 
1.9%
Other values (509) 45696
48.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅲ 3
42.9%
Ⅳ 1
 
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

우편번호
Real number (ℝ)

Distinct2214
Distinct (%)38.7%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean14288.547
Minimum10011
Maximum18633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.4 KiB
2023-12-11T06:12:51.652739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10355
Q112120
median14275
Q316514.75
95-th percentile18287.4
Maximum18633
Range8622
Interquartile range (IQR)4394.75

Descriptive statistics

Standard deviation2522.3297
Coefficient of variation (CV)0.17652807
Kurtosis-1.1639702
Mean14288.547
Median Absolute Deviation (MAD)2219
Skewness-0.026821691
Sum81644760
Variance6362147.1
MonotonicityNot monotonic
2023-12-11T06:12:51.782536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 26
 
0.5%
10500 21
 
0.4%
14072 21
 
0.4%
13497 20
 
0.3%
10386 20
 
0.3%
10414 19
 
0.3%
12248 18
 
0.3%
17909 18
 
0.3%
13618 17
 
0.3%
14548 16
 
0.3%
Other values (2204) 5518
96.5%
ValueCountFrequency (%)
10011 3
0.1%
10016 1
 
< 0.1%
10018 7
0.1%
10019 2
 
< 0.1%
10020 1
 
< 0.1%
10024 2
 
< 0.1%
10031 3
0.1%
10039 2
 
< 0.1%
10040 2
 
< 0.1%
10048 1
 
< 0.1%
ValueCountFrequency (%)
18633 1
 
< 0.1%
18629 1
 
< 0.1%
18625 1
 
< 0.1%
18623 1
 
< 0.1%
18616 3
0.1%
18611 7
0.1%
18606 2
 
< 0.1%
18603 1
 
< 0.1%
18600 6
0.1%
18598 4
0.1%

월요일_시작시간
Date

Distinct29
Distinct (%)0.5%
Missing24
Missing (%)0.4%
Memory size44.8 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:51.888668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:52.008904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

월요일_종료시간
Text

Distinct57
Distinct (%)1.0%
Missing24
Missing (%)0.4%
Memory size44.8 KiB
2023-12-11T06:12:52.185500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters28470
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

Unique21 ?
Unique (%)0.4%

Sample

1st row20:00
2nd row20:30
3rd row18:30
4th row19:00
5th row18:00
ValueCountFrequency (%)
18:00 1115
19.6%
19:00 996
17.5%
21:00 896
15.7%
20:00 834
14.6%
22:00 405
 
7.1%
19:30 295
 
5.2%
18:30 253
 
4.4%
20:30 243
 
4.3%
21:30 181
 
3.2%
23:00 60
 
1.1%
Other values (47) 416
 
7.3%
2023-12-11T06:12:52.486539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11386
40.0%
: 5694
20.0%
1 4042
 
14.2%
2 3201
 
11.2%
8 1385
 
4.9%
9 1311
 
4.6%
3 1203
 
4.2%
5 78
 
0.3%
4 70
 
0.2%
6 50
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22776
80.0%
Other Punctuation 5694
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11386
50.0%
1 4042
 
17.7%
2 3201
 
14.1%
8 1385
 
6.1%
9 1311
 
5.8%
3 1203
 
5.3%
5 78
 
0.3%
4 70
 
0.3%
6 50
 
0.2%
7 50
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 5694
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11386
40.0%
: 5694
20.0%
1 4042
 
14.2%
2 3201
 
11.2%
8 1385
 
4.9%
9 1311
 
4.6%
3 1203
 
4.2%
5 78
 
0.3%
4 70
 
0.2%
6 50
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11386
40.0%
: 5694
20.0%
1 4042
 
14.2%
2 3201
 
11.2%
8 1385
 
4.9%
9 1311
 
4.6%
3 1203
 
4.2%
5 78
 
0.3%
4 70
 
0.2%
6 50
 
0.2%

화요일_시작시간
Date

Distinct29
Distinct (%)0.5%
Missing31
Missing (%)0.5%
Memory size44.8 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:52.626560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:52.764776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

화요일_종료시간
Text

Distinct56
Distinct (%)1.0%
Missing31
Missing (%)0.5%
Memory size44.8 KiB
2023-12-11T06:12:52.952496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters28435
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

Unique17 ?
Unique (%)0.3%

Sample

1st row20:00
2nd row20:30
3rd row18:30
4th row19:00
5th row18:00
ValueCountFrequency (%)
18:00 1110
19.5%
19:00 1007
17.7%
21:00 902
15.9%
20:00 818
14.4%
22:00 405
 
7.1%
19:30 296
 
5.2%
18:30 252
 
4.4%
20:30 243
 
4.3%
21:30 179
 
3.1%
23:00 60
 
1.1%
Other values (46) 415
 
7.3%
2023-12-11T06:12:53.285906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11349
39.9%
: 5687
20.0%
1 4052
 
14.3%
2 3194
 
11.2%
8 1380
 
4.9%
9 1324
 
4.7%
3 1203
 
4.2%
5 77
 
0.3%
4 73
 
0.3%
6 48
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22748
80.0%
Other Punctuation 5687
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11349
49.9%
1 4052
 
17.8%
2 3194
 
14.0%
8 1380
 
6.1%
9 1324
 
5.8%
3 1203
 
5.3%
5 77
 
0.3%
4 73
 
0.3%
6 48
 
0.2%
7 48
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 5687
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28435
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11349
39.9%
: 5687
20.0%
1 4052
 
14.3%
2 3194
 
11.2%
8 1380
 
4.9%
9 1324
 
4.7%
3 1203
 
4.2%
5 77
 
0.3%
4 73
 
0.3%
6 48
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11349
39.9%
: 5687
20.0%
1 4052
 
14.3%
2 3194
 
11.2%
8 1380
 
4.9%
9 1324
 
4.7%
3 1203
 
4.2%
5 77
 
0.3%
4 73
 
0.3%
6 48
 
0.2%

수요일_시작시간
Date

Distinct30
Distinct (%)0.5%
Missing35
Missing (%)0.6%
Memory size44.8 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:53.437247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:53.569570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

수요일_종료시간
Text

Distinct56
Distinct (%)1.0%
Missing35
Missing (%)0.6%
Memory size44.8 KiB
2023-12-11T06:12:53.760966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters28415
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

Unique18 ?
Unique (%)0.3%

Sample

1st row20:00
2nd row20:30
3rd row18:30
4th row19:00
5th row18:00
ValueCountFrequency (%)
18:00 1105
19.4%
19:00 1008
17.7%
21:00 894
15.7%
20:00 818
14.4%
22:00 406
 
7.1%
19:30 287
 
5.1%
18:30 253
 
4.5%
20:30 244
 
4.3%
21:30 178
 
3.1%
13:00 66
 
1.2%
Other values (46) 424
 
7.5%
2023-12-11T06:12:54.031005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11348
39.9%
: 5683
20.0%
1 4047
 
14.2%
2 3185
 
11.2%
8 1376
 
4.8%
9 1315
 
4.6%
3 1206
 
4.2%
5 81
 
0.3%
4 76
 
0.3%
6 50
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22732
80.0%
Other Punctuation 5683
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11348
49.9%
1 4047
 
17.8%
2 3185
 
14.0%
8 1376
 
6.1%
9 1315
 
5.8%
3 1206
 
5.3%
5 81
 
0.4%
4 76
 
0.3%
6 50
 
0.2%
7 48
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 5683
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11348
39.9%
: 5683
20.0%
1 4047
 
14.2%
2 3185
 
11.2%
8 1376
 
4.8%
9 1315
 
4.6%
3 1206
 
4.2%
5 81
 
0.3%
4 76
 
0.3%
6 50
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11348
39.9%
: 5683
20.0%
1 4047
 
14.2%
2 3185
 
11.2%
8 1376
 
4.8%
9 1315
 
4.6%
3 1206
 
4.2%
5 81
 
0.3%
4 76
 
0.3%
6 50
 
0.2%

목요일_시작시간
Date

Distinct29
Distinct (%)0.5%
Missing33
Missing (%)0.6%
Memory size44.8 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:54.159662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:54.294658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

목요일_종료시간
Text

Distinct57
Distinct (%)1.0%
Missing33
Missing (%)0.6%
Memory size44.8 KiB
2023-12-11T06:12:54.491667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters28425
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

Unique18 ?
Unique (%)0.3%

Sample

1st row20:00
2nd row20:30
3rd row18:30
4th row19:00
5th row18:00
ValueCountFrequency (%)
18:00 1104
19.4%
19:00 998
17.6%
21:00 901
15.8%
20:00 827
14.5%
22:00 405
 
7.1%
19:30 295
 
5.2%
18:30 254
 
4.5%
20:30 242
 
4.3%
21:30 178
 
3.1%
13:00 61
 
1.1%
Other values (47) 420
 
7.4%
2023-12-11T06:12:54.834388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11353
39.9%
: 5685
20.0%
1 4042
 
14.2%
2 3204
 
11.3%
8 1375
 
4.8%
9 1312
 
4.6%
3 1207
 
4.2%
5 77
 
0.3%
4 73
 
0.3%
6 49
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22740
80.0%
Other Punctuation 5685
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11353
49.9%
1 4042
 
17.8%
2 3204
 
14.1%
8 1375
 
6.0%
9 1312
 
5.8%
3 1207
 
5.3%
5 77
 
0.3%
4 73
 
0.3%
6 49
 
0.2%
7 48
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 5685
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11353
39.9%
: 5685
20.0%
1 4042
 
14.2%
2 3204
 
11.3%
8 1375
 
4.8%
9 1312
 
4.6%
3 1207
 
4.2%
5 77
 
0.3%
4 73
 
0.3%
6 49
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11353
39.9%
: 5685
20.0%
1 4042
 
14.2%
2 3204
 
11.3%
8 1375
 
4.8%
9 1312
 
4.6%
3 1207
 
4.2%
5 77
 
0.3%
4 73
 
0.3%
6 49
 
0.2%

금요일_시작시간
Date

Distinct29
Distinct (%)0.5%
Missing31
Missing (%)0.5%
Memory size44.8 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:54.959558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:55.083185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

금요일_종료시간
Text

Distinct56
Distinct (%)1.0%
Missing31
Missing (%)0.5%
Memory size44.8 KiB
2023-12-11T06:12:55.287540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters28435
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

Unique19 ?
Unique (%)0.3%

Sample

1st row20:00
2nd row20:30
3rd row18:30
4th row19:00
5th row18:00
ValueCountFrequency (%)
18:00 1109
19.5%
19:00 1008
17.7%
21:00 894
15.7%
20:00 826
14.5%
22:00 406
 
7.1%
19:30 298
 
5.2%
18:30 253
 
4.4%
20:30 242
 
4.3%
21:30 179
 
3.1%
23:00 60
 
1.1%
Other values (46) 412
 
7.2%
2023-12-11T06:12:55.641176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11356
39.9%
: 5687
20.0%
1 4046
 
14.2%
2 3191
 
11.2%
8 1380
 
4.9%
9 1326
 
4.7%
3 1203
 
4.2%
5 77
 
0.3%
4 71
 
0.2%
6 49
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22748
80.0%
Other Punctuation 5687
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11356
49.9%
1 4046
 
17.8%
2 3191
 
14.0%
8 1380
 
6.1%
9 1326
 
5.8%
3 1203
 
5.3%
5 77
 
0.3%
4 71
 
0.3%
6 49
 
0.2%
7 49
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 5687
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28435
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11356
39.9%
: 5687
20.0%
1 4046
 
14.2%
2 3191
 
11.2%
8 1380
 
4.9%
9 1326
 
4.7%
3 1203
 
4.2%
5 77
 
0.3%
4 71
 
0.2%
6 49
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11356
39.9%
: 5687
20.0%
1 4046
 
14.2%
2 3191
 
11.2%
8 1380
 
4.9%
9 1326
 
4.7%
3 1203
 
4.2%
5 77
 
0.3%
4 71
 
0.2%
6 49
 
0.2%

토요일_시작시간
Date

MISSING 

Distinct31
Distinct (%)0.7%
Missing1213
Missing (%)21.2%
Memory size44.8 KiB
Minimum2023-12-11 06:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:55.758580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:55.869996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

토요일_종료시간
Categorical

Distinct46
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
<NA>
1213 
13:00
662 
16:00
592 
15:00
456 
14:00
440 
Other values (41)
2355 

Length

Max length5
Median length5
Mean length4.7878629
Min length4

Unique

Unique14 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row19:00
3rd row<NA>
4th row<NA>
5th row13:00

Common Values

ValueCountFrequency (%)
<NA> 1213
21.2%
13:00 662
11.6%
16:00 592
10.4%
15:00 456
 
8.0%
14:00 440
 
7.7%
21:00 354
 
6.2%
17:00 309
 
5.4%
18:00 295
 
5.2%
22:00 285
 
5.0%
20:00 230
 
4.0%
Other values (36) 882
15.4%

Length

2023-12-11T06:12:55.988883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1213
21.2%
13:00 662
11.6%
16:00 592
10.4%
15:00 456
 
8.0%
14:00 440
 
7.7%
21:00 354
 
6.2%
17:00 309
 
5.4%
18:00 295
 
5.2%
22:00 285
 
5.0%
20:00 230
 
4.0%
Other values (36) 882
15.4%

일요일_시작시간
Date

MISSING 

Distinct28
Distinct (%)2.5%
Missing4618
Missing (%)80.8%
Memory size44.8 KiB
Minimum2023-12-11 06:00:00
Maximum2023-12-11 23:59:00
2023-12-11T06:12:56.089462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:56.216017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

일요일_종료시간
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
<NA>
4618 
22:00
 
173
21:00
 
167
13:00
 
134
18:00
 
96
Other values (32)
530 

Length

Max length5
Median length4
Mean length4.192375
Min length4

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row19:00
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4618
80.8%
22:00 173
 
3.0%
21:00 167
 
2.9%
13:00 134
 
2.3%
18:00 96
 
1.7%
20:00 80
 
1.4%
19:00 60
 
1.0%
14:00 49
 
0.9%
16:00 42
 
0.7%
23:00 41
 
0.7%
Other values (27) 258
 
4.5%

Length

2023-12-11T06:12:56.389316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4618
80.8%
22:00 173
 
3.0%
21:00 167
 
2.9%
13:00 134
 
2.3%
18:00 96
 
1.7%
20:00 80
 
1.4%
19:00 60
 
1.0%
14:00 49
 
0.9%
16:00 42
 
0.7%
23:00 41
 
0.7%
Other values (27) 258
 
4.5%

공휴일_시작시간
Date

MISSING 

Distinct29
Distinct (%)2.1%
Missing4304
Missing (%)75.3%
Memory size44.8 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 22:00:00
2023-12-11T06:12:56.489791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:56.603328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

공휴일_종료시간
Categorical

IMBALANCE 

Distinct39
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
<NA>
4304 
13:00
 
251
21:00
 
219
22:00
 
207
20:00
 
102
Other values (34)
635 

Length

Max length5
Median length4
Mean length4.2472893
Min length4

Unique

Unique11 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row19:00
3rd row15:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4304
75.3%
13:00 251
 
4.4%
21:00 219
 
3.8%
22:00 207
 
3.6%
20:00 102
 
1.8%
18:00 95
 
1.7%
19:00 79
 
1.4%
14:00 64
 
1.1%
17:00 58
 
1.0%
15:00 49
 
0.9%
Other values (29) 290
 
5.1%

Length

2023-12-11T06:12:56.732783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4304
75.3%
13:00 251
 
4.4%
21:00 219
 
3.8%
22:00 207
 
3.6%
20:00 102
 
1.8%
18:00 95
 
1.7%
19:00 79
 
1.4%
14:00 64
 
1.1%
17:00 58
 
1.0%
15:00 49
 
0.9%
Other values (29) 290
 
5.1%

간이약도내용
Text

MISSING 

Distinct1478
Distinct (%)99.4%
Missing4231
Missing (%)74.0%
Memory size44.8 KiB
2023-12-11T06:12:56.972598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length14.238063
Min length2

Characters and Unicode

Total characters21172
Distinct characters573
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1469 ?
Unique (%)98.8%

Sample

1st row서울빌딩1층
2nd row가평휴게소(춘천방향) 내 위치
3rd row가평 중앙농협 옆
4th row강선6단지 강선프라자 도미노피자옆
5th row고양시장맞은편버스정류장
ValueCountFrequency (%)
1층 136
 
4.8%
건물 64
 
2.3%
옆 50
 
1.8%
맞은편 41
 
1.4%
앞 37
 
1.3%
건너편 23
 
0.8%
위치한 20
 
0.7%
근처 19
 
0.7%
옆건물 18
 
0.6%
2층 16
 
0.6%
Other values (2044) 2414
85.1%
2023-12-11T06:12:57.439529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1367
 
6.5%
1 654
 
3.1%
층 432
 
2.0%
동 418
 
2.0%
리 413
 
2.0%
건 377
 
1.8%
원 320
 
1.5%
옆 298
 
1.4%
은 296
 
1.4%
구 291
 
1.4%
Other values (563) 16306
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17447
82.4%
Decimal Number 1676
 
7.9%
Space Separator 1367
 
6.5%
Other Punctuation 180
 
0.9%
Uppercase Letter 158
 
0.7%
Close Punctuation 106
 
0.5%
Open Punctuation 104
 
0.5%
Dash Punctuation 68
 
0.3%
Lowercase Letter 55
 
0.3%
Math Symbol 7
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 432
 
2.5%
동 418
 
2.4%
리 413
 
2.4%
건 377
 
2.2%
원 320
 
1.8%
옆 298
 
1.7%
은 296
 
1.7%
구 291
 
1.7%
트 282
 
1.6%
사 277
 
1.6%
Other values (505) 14043
80.5%
Uppercase Letter
ValueCountFrequency (%)
S 23
14.6%
M 21
13.3%
G 20
12.7%
K 18
11.4%
C 17
10.8%
B 14
8.9%
T 9
 
5.7%
I 8
 
5.1%
L 7
 
4.4%
A 5
 
3.2%
Other values (9) 16
10.1%
Lowercase Letter
ValueCountFrequency (%)
m 36
65.5%
e 3
 
5.5%
a 2
 
3.6%
i 2
 
3.6%
k 2
 
3.6%
s 2
 
3.6%
c 2
 
3.6%
b 1
 
1.8%
v 1
 
1.8%
g 1
 
1.8%
Other values (3) 3
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 654
39.0%
0 277
16.5%
3 175
 
10.4%
2 170
 
10.1%
4 119
 
7.1%
5 97
 
5.8%
6 59
 
3.5%
8 53
 
3.2%
7 38
 
2.3%
9 34
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 102
56.7%
. 42
23.3%
/ 31
 
17.2%
@ 4
 
2.2%
: 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
> 3
42.9%
~ 2
28.6%
< 1
 
14.3%
= 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1367
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17447
82.4%
Common 3511
 
16.6%
Latin 214
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 432
 
2.5%
동 418
 
2.4%
리 413
 
2.4%
건 377
 
2.2%
원 320
 
1.8%
옆 298
 
1.7%
은 296
 
1.7%
구 291
 
1.7%
트 282
 
1.6%
사 277
 
1.6%
Other values (505) 14043
80.5%
Latin
ValueCountFrequency (%)
m 36
16.8%
S 23
10.7%
M 21
9.8%
G 20
9.3%
K 18
8.4%
C 17
7.9%
B 14
 
6.5%
T 9
 
4.2%
I 8
 
3.7%
L 7
 
3.3%
Other values (23) 41
19.2%
Common
ValueCountFrequency (%)
1367
38.9%
1 654
18.6%
0 277
 
7.9%
3 175
 
5.0%
2 170
 
4.8%
4 119
 
3.4%
) 106
 
3.0%
( 104
 
3.0%
, 102
 
2.9%
5 97
 
2.8%
Other values (15) 340
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17446
82.4%
ASCII 3722
 
17.6%
Geometric Shapes 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1367
36.7%
1 654
17.6%
0 277
 
7.4%
3 175
 
4.7%
2 170
 
4.6%
4 119
 
3.2%
) 106
 
2.8%
( 104
 
2.8%
, 102
 
2.7%
5 97
 
2.6%
Other values (46) 551
14.8%
Hangul
ValueCountFrequency (%)
층 432
 
2.5%
동 418
 
2.4%
리 413
 
2.4%
건 377
 
2.2%
원 320
 
1.8%
옆 298
 
1.7%
은 296
 
1.7%
구 291
 
1.7%
트 282
 
1.6%
사 277
 
1.6%
Other values (504) 14042
80.5%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

비고
Text

MISSING 

Distinct621
Distinct (%)88.8%
Missing5019
Missing (%)87.8%
Memory size44.8 KiB
2023-12-11T06:12:57.740414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length57
Mean length17.111588
Min length1

Characters and Unicode

Total characters11961
Distinct characters456
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique588 ?
Unique (%)84.1%

Sample

1st row면사무소 앞
2nd row1/4(휴무), 1/11, 1/18(운영), 1/25(휴무), 2/1, 2/8(운영), 2/15(휴무), 2/22(운영)
3rd row가평터미널 옆
4th row개인사정으로 인한 휴무시 17시이후 약국 운영 마감(전화확인 후 아내)
5th row* 공공심야약국(22시~익일 새벽 1시까지)
ValueCountFrequency (%)
일요일 113
 
4.6%
운영 112
 
4.6%
휴무 70
 
2.8%
공휴일 68
 
2.8%
방문 46
 
1.9%
41
 
1.7%
전화 35
 
1.4%
공휴일은 35
 
1.4%
일요일은 35
 
1.4%
일요일만 30
 
1.2%
Other values (1084) 1873
76.2%
2023-12-11T06:12:58.473749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1799
 
15.0%
일 853
 
7.1%
휴 344
 
2.9%
1 326
 
2.7%
요 324
 
2.7%
0 265
 
2.2%
, 250
 
2.1%
영 247
 
2.1%
운 227
 
1.9%
공 218
 
1.8%
Other values (446) 7108
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7986
66.8%
Space Separator 1799
 
15.0%
Decimal Number 1195
 
10.0%
Other Punctuation 651
 
5.4%
Close Punctuation 97
 
0.8%
Open Punctuation 96
 
0.8%
Math Symbol 62
 
0.5%
Dash Punctuation 43
 
0.4%
Lowercase Letter 17
 
0.1%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 853
 
10.7%
휴 344
 
4.3%
요 324
 
4.1%
영 247
 
3.1%
운 227
 
2.8%
공 218
 
2.7%
주 173
 
2.2%
무 167
 
2.1%
시 138
 
1.7%
전 135
 
1.7%
Other values (402) 5160
64.6%
Decimal Number
ValueCountFrequency (%)
1 326
27.3%
0 265
22.2%
2 183
15.3%
3 130
 
10.9%
4 75
 
6.3%
5 69
 
5.8%
6 48
 
4.0%
7 35
 
2.9%
9 34
 
2.8%
8 30
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
m 6
35.3%
e 2
 
11.8%
i 2
 
11.8%
c 1
 
5.9%
x 1
 
5.9%
b 1
 
5.9%
r 1
 
5.9%
a 1
 
5.9%
k 1
 
5.9%
t 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
G 3
23.1%
N 2
15.4%
O 2
15.4%
V 1
 
7.7%
C 1
 
7.7%
L 1
 
7.7%
B 1
 
7.7%
S 1
 
7.7%
M 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 250
38.4%
. 145
22.3%
* 96
 
14.7%
: 81
 
12.4%
/ 66
 
10.1%
! 12
 
1.8%
& 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 57
91.9%
> 3
 
4.8%
< 2
 
3.2%
Space Separator
ValueCountFrequency (%)
1799
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7986
66.8%
Common 3945
33.0%
Latin 30
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 853
 
10.7%
휴 344
 
4.3%
요 324
 
4.1%
영 247
 
3.1%
운 227
 
2.8%
공 218
 
2.7%
주 173
 
2.2%
무 167
 
2.1%
시 138
 
1.7%
전 135
 
1.7%
Other values (402) 5160
64.6%
Common
ValueCountFrequency (%)
1799
45.6%
1 326
 
8.3%
0 265
 
6.7%
, 250
 
6.3%
2 183
 
4.6%
. 145
 
3.7%
3 130
 
3.3%
) 97
 
2.5%
* 96
 
2.4%
( 96
 
2.4%
Other values (15) 558
 
14.1%
Latin
ValueCountFrequency (%)
m 6
20.0%
G 3
 
10.0%
e 2
 
6.7%
N 2
 
6.7%
i 2
 
6.7%
O 2
 
6.7%
V 1
 
3.3%
C 1
 
3.3%
L 1
 
3.3%
B 1
 
3.3%
Other values (9) 9
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7986
66.8%
ASCII 3973
33.2%
Modifier Letters 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1799
45.3%
1 326
 
8.2%
0 265
 
6.7%
, 250
 
6.3%
2 183
 
4.6%
. 145
 
3.6%
3 130
 
3.3%
) 97
 
2.4%
* 96
 
2.4%
( 96
 
2.4%
Other values (33) 586
 
14.7%
Hangul
ValueCountFrequency (%)
일 853
 
10.7%
휴 344
 
4.3%
요 324
 
4.1%
영 247
 
3.1%
운 227
 
2.8%
공 218
 
2.7%
주 173
 
2.2%
무 167
 
2.1%
시 138
 
1.7%
전 135
 
1.7%
Other values (402) 5160
64.6%
Modifier Letters
ValueCountFrequency (%)
˙ 2
100.0%

WGS84위도
Real number (ℝ)

Distinct5135
Distinct (%)90.0%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean37.432633
Minimum36.94511
Maximum38.158161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.4 KiB
2023-12-11T06:12:58.595006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.94511
5-th percentile37.073704
Q137.285176
median37.399414
Q337.616027
95-th percentile37.763508
Maximum38.158161
Range1.213051
Interquartile range (IQR)0.33085142

Descriptive statistics

Standard deviation0.21190732
Coefficient of variation (CV)0.0056610316
Kurtosis-0.28413471
Mean37.432633
Median Absolute Deviation (MAD)0.12981829
Skewness0.19875483
Sum213665.47
Variance0.044904712
MonotonicityNot monotonic
2023-12-11T06:12:58.728314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4105911732 7
 
0.1%
37.6448480857 7
 
0.1%
37.6087490072 7
 
0.1%
37.3895629286 7
 
0.1%
37.670269954 7
 
0.1%
37.5051300224 6
 
0.1%
37.3188431542 5
 
0.1%
37.3503939292 5
 
0.1%
37.3231779493 5
 
0.1%
37.3003023414 5
 
0.1%
Other values (5125) 5647
98.8%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
36.9451096864 1
< 0.1%
36.9585345144 1
< 0.1%
36.960758524 1
< 0.1%
36.9608455198 1
< 0.1%
36.9611007482 1
< 0.1%
36.961232959 1
< 0.1%
36.9612802179 1
< 0.1%
36.9617383356 1
< 0.1%
36.9632453036 1
< 0.1%
36.9644052069 1
< 0.1%
ValueCountFrequency (%)
38.1581607278 1
< 0.1%
38.133581452 1
< 0.1%
38.1019275833 1
< 0.1%
38.1004724105 1
< 0.1%
38.0993630893 1
< 0.1%
38.0908758389 1
< 0.1%
38.0904627858 1
< 0.1%
38.0903804694 1
< 0.1%
38.0899913009 1
< 0.1%
38.0897317744 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct5135
Distinct (%)90.0%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean127.00576
Minimum126.53664
Maximum127.75348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.4 KiB
2023-12-11T06:12:58.886518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53664
5-th percentile126.74776
Q1126.83614
median127.03025
Q3127.12478
95-th percentile127.30326
Maximum127.75348
Range1.2168375
Interquartile range (IQR)0.28864682

Descriptive statistics

Standard deviation0.18830622
Coefficient of variation (CV)0.001482659
Kurtosis0.49841312
Mean127.00576
Median Absolute Deviation (MAD)0.1221436
Skewness0.4852261
Sum724948.86
Variance0.035459234
MonotonicityNot monotonic
2023-12-11T06:12:59.014987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1282185032 7
 
0.1%
126.7920849948 7
 
0.1%
127.1589920361 7
 
0.1%
126.9522508622 7
 
0.1%
126.7619424818 7
 
0.1%
126.7537281611 6
 
0.1%
126.834869809 5
 
0.1%
127.1104500635 5
 
0.1%
127.0779941675 5
 
0.1%
127.1072783973 5
 
0.1%
Other values (5125) 5647
98.8%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
126.5366429773 1
< 0.1%
126.5543027257 1
< 0.1%
126.5556706278 1
< 0.1%
126.5825555862 1
< 0.1%
126.5830135218 1
< 0.1%
126.5833826942 1
< 0.1%
126.5843682181 1
< 0.1%
126.5852196596 1
< 0.1%
126.5877251202 1
< 0.1%
126.5976057487 1
< 0.1%
ValueCountFrequency (%)
127.7534805079 1
< 0.1%
127.7096562425 1
< 0.1%
127.7085120492 1
< 0.1%
127.6803053266 1
< 0.1%
127.6616256229 1
< 0.1%
127.6545406444 1
< 0.1%
127.643769209 1
< 0.1%
127.6425252062 1
< 0.1%
127.6417237781 1
< 0.1%
127.6406486558 1
< 0.1%

Sample

시군명약국명대표전화번호도로명주소지번주소우편번호월요일_시작시간월요일_종료시간화요일_시작시간화요일_종료시간수요일_시작시간수요일_종료시간목요일_시작시간목요일_종료시간금요일_시작시간금요일_종료시간토요일_시작시간토요일_종료시간일요일_시작시간일요일_종료시간공휴일_시작시간공휴일_종료시간간이약도내용비고WGS84위도WGS84경도
0가평군가평온누리약국031-581-8777경기도 가평군 가평읍 가화로 113경기도 가평군 가평읍 읍내리 468-22번지1241809:0020:0009:0020:0009:0020:0009:0020:0009:0020:00<NA><NA><NA><NA><NA><NA><NA><NA>37.829734127.513364
1가평군가평중앙약국031-581-7522경기도 가평군 가평읍 연인1길 1경기도 가평군 가평읍 읍내리 476-7번지 임내과의원 1층1241809:0020:3009:0020:3009:0020:3009:0020:3009:0020:3009:0019:0009:0019:0009:0019:00<NA><NA>37.829355127.513682
2가평군감초온누리약국031-585-1008경기도 가평군 설악면 신천중앙로88번길 1경기도 가평군 설악면 신천리 120-3번지1246508:3018:3008:3018:3008:3018:3008:3018:3008:3018:30<NA><NA><NA><NA>08:3015:00<NA>면사무소 앞37.676905127.493752
3가평군고향약국031-584-1902경기도 가평군 설악면 한서로 9경기도 가평군 설악면 신천리 121-2번지1246509:0019:0009:0019:0009:0019:0009:0019:0009:0019:00<NA><NA><NA><NA><NA><NA><NA><NA>37.676716127.494976
4가평군굿모닝약국031-585-4638경기도 가평군 청평면 청평중앙로 45-1경기도 가평군 청평면 청평리 465-11번지1245209:0018:0009:0018:0009:0018:0009:0018:0009:0018:0009:0013:00<NA><NA><NA><NA><NA><NA>37.737926127.419577
5가평군단비약국031-582-8151경기도 가평군 북면 화악산로 9경기도 가평군 북면 목동리 889-4번지1240309:0018:0009:0018:0009:0018:0009:0018:0009:0018:00<NA><NA><NA><NA><NA><NA><NA><NA>37.886291127.549458
6가평군대성약국031-584-1050경기도 가평군 설악면 신천중앙로 118-1경기도 가평군 설악면 신천리 435-19번지1246508:0021:3008:0021:3008:0021:3008:0021:3008:0021:3008:0020:30<NA><NA><NA><NA><NA><NA>37.678176127.490916
7가평군란약국031-581-0625경기도 가평군 청평면 경춘로 1401경기도 가평군 청평면 상천리 295번지1244909:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0015:00<NA><NA><NA><NA><NA><NA>37.777065127.462152
8가평군메디칼약국031-582-4999경기도 가평군 가평읍 장터3길 10경기도 가평군 가평읍 읍내리 407-4번지 1층1241909:0018:0009:0018:0009:0018:0009:0018:0009:0018:0009:0013:00<NA><NA><NA><NA><NA><NA>37.830392127.514693
9가평군모범약국031-585-9630경기도 가평군 상면 청군로 696경기도 가평군 상면 임초리 412-5번지1244709:0021:0009:0021:0009:0021:0009:0021:0009:0021:0009:0021:0009:0019:0009:0021:00<NA><NA>37.773964127.372096
시군명약국명대표전화번호도로명주소지번주소우편번호월요일_시작시간월요일_종료시간화요일_시작시간화요일_종료시간수요일_시작시간수요일_종료시간목요일_시작시간목요일_종료시간금요일_시작시간금요일_종료시간토요일_시작시간토요일_종료시간일요일_시작시간일요일_종료시간공휴일_시작시간공휴일_종료시간간이약도내용비고WGS84위도WGS84경도
5708화성시호생약국031-232-4524경기도 화성시 효행로 1052경기도 화성시 병점동 844-1번지 씨네샤르망 A동 106호1840509:0018:0009:0018:0009:0018:0009:0018:0009:0018:0009:0013:00<NA><NA><NA><NA><NA><NA>37.213932127.042481
5709화성시화성메디팜약국031-294-1152경기도 화성시 매송면 매송고색로 380경기도 화성시 매송면 천천리 223-2번지1829009:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0017:00<NA><NA><NA><NA><NA><NA>37.243425126.947087
5710화성시화성스마일약국031-355-3712경기도 화성시 남양읍 남양성지로 151경기도 화성시 남양읍 남양리 1268-12번지 현대프라자 103호1826108:3018:5008:3018:5008:3018:5008:3018:5008:3018:50<NA><NA><NA><NA><NA><NA><NA><NA>37.20975126.819318
5711화성시화성약국031-353-0001경기도 화성시 향남읍 삼천병마로 189경기도 화성시 향남읍 평리 257-5번지1859308:3021:0008:3021:0008:3021:0008:3021:0008:3021:0008:3019:0008:3019:00<NA><NA>발안시내기업은행맞은편일년중 설날,추석 당일(2일)빼고 운영37.130046126.909646
5712화성시화성제일약국070-7576-2575경기도 화성시 남양읍 남양로920번길 12경기도 화성시 남양읍 북양리 692-1번지 이현빌딩 107호1825608:3019:3008:3019:3008:3019:3008:3019:3008:3019:3008:3015:00<NA><NA><NA><NA><NA><NA>37.217753126.833369
5713화성시화성프라자약국031-355-8707경기도 화성시 남양읍 남양성지로 147경기도 화성시 남양읍 남양리 1268번지 아이리스프라자 104호1826108:3021:0008:3021:0008:3021:0008:3021:0008:3021:0008:3017:00<NA><NA><NA><NA>아이리스프라자 1층<NA>37.209839126.819058
5714화성시회춘당약국031-353-0039경기도 화성시 향남읍 평3길 19경기도 화성시 향남읍 평리 118-10번지1859309:0021:0009:0021:0009:0021:0009:0021:0009:0021:0009:0021:0009:0021:00<NA><NA>화성시향남읍평리118-10<NA>37.131409126.90824
5715화성시훼미리약국031-221-0340경기도 화성시 효행로 1051경기도 화성시 진안동 914-1번지 메인프라자 407-1호 및 407-2호 일부1839809:0019:0009:0019:0009:0019:0009:0019:0009:0019:00<NA><NA><NA><NA><NA><NA><NA><NA>37.214633127.04197
5716화성시휴베이스윤약국03180779975경기도 화성시 동탄지성로 18경기도 화성시 반송동 91-9번지 금정프라자 101,102호1845308:3023:0008:3023:0008:3023:0008:3023:0008:3023:0008:3022:0008:3022:0008:3022:00<NA><NA>37.205256127.072611
5717화성시희망약국031-225-8397경기도 화성시 병점중앙로170번길 3경기도 화성시 진안동 868-8번지1839909:0019:0009:0019:0009:0019:0009:0019:0009:0019:0009:0014:00<NA><NA><NA><NA><NA><NA>37.212976127.037596