Overview

Dataset statistics

Number of variables11
Number of observations452
Missing cells156
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.9 KiB
Average record size in memory90.3 B

Variable types

Text6
DateTime2
Categorical1
Numeric2

Dataset

Description경기도 의정부시 안전상비약품 판매업소 현황 데이터로 관리번호, 인허가일자, 영업상태명, 소재지전화, 소재지전체주소, 도로명전체주소, 도로명우편번호, 사업장명, 위도, 경도, 데이터기준일자 등의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15042745/fileData.do

Alerts

영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 117 (25.9%) missing valuesMissing
위도 has 20 (4.4%) missing valuesMissing
경도 has 19 (4.2%) missing valuesMissing
관리번호 has unique valuesUnique
도로명우편번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:56:25.953480
Analysis finished2023-12-11 23:56:27.076784
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T08:56:27.229527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length30
Min length30

Characters and Unicode

Total characters13560
Distinct characters14
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

Unique452 ?
Unique (%)100.0%

Sample

1st rowPHMH3-2012-3820050-08-75-00001
2nd rowPHMH3-2012-3820050-08-75-00010
3rd rowPHMH3-2012-3820050-08-75-00019
4th rowPHMH3-2012-3820050-08-75-00022
5th rowPHMH3-2012-3820050-08-75-00024
ValueCountFrequency (%)
phmh3-2012-3820050-08-75-00001 1
 
0.2%
phmh3-2019-3820050-08-75-00046 1
 
0.2%
phmh3-2020-3820050-08-75-00020 1
 
0.2%
phmh3-2020-3820050-08-75-00019 1
 
0.2%
phmh3-2020-3820050-08-75-00018 1
 
0.2%
phmh3-2020-3820050-08-75-00017 1
 
0.2%
phmh3-2020-3820050-08-75-00015 1
 
0.2%
phmh3-2020-3820050-08-75-00012 1
 
0.2%
phmh3-2020-3820050-08-75-00011 1
 
0.2%
phmh3-2020-3820050-08-75-00010 1
 
0.2%
Other values (442) 442
97.8%
2023-12-12T08:56:27.535362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3753
27.7%
- 2260
16.7%
2 1300
 
9.6%
3 1050
 
7.7%
5 1016
 
7.5%
8 975
 
7.2%
H 904
 
6.7%
7 565
 
4.2%
1 488
 
3.6%
P 452
 
3.3%
Other values (4) 797
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9492
70.0%
Dash Punctuation 2260
 
16.7%
Uppercase Letter 1808
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3753
39.5%
2 1300
 
13.7%
3 1050
 
11.1%
5 1016
 
10.7%
8 975
 
10.3%
7 565
 
6.0%
1 488
 
5.1%
4 128
 
1.3%
6 118
 
1.2%
9 99
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
H 904
50.0%
P 452
25.0%
M 452
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11752
86.7%
Latin 1808
 
13.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3753
31.9%
- 2260
19.2%
2 1300
 
11.1%
3 1050
 
8.9%
5 1016
 
8.6%
8 975
 
8.3%
7 565
 
4.8%
1 488
 
4.2%
4 128
 
1.1%
6 118
 
1.0%
Latin
ValueCountFrequency (%)
H 904
50.0%
P 452
25.0%
M 452
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3753
27.7%
- 2260
16.7%
2 1300
 
9.6%
3 1050
 
7.7%
5 1016
 
7.5%
8 975
 
7.2%
H 904
 
6.7%
7 565
 
4.2%
1 488
 
3.6%
P 452
 
3.3%
Other values (4) 797
 
5.9%

인허가일자
Date

Distinct336
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2013-07-17 00:00:00
Maximum2023-01-12 00:00:00
2023-12-12T08:56:27.666443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:27.789714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업/정상
452 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 452
100.0%

Length

2023-12-12T08:56:27.930790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:56:28.034286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 452
100.0%

소재지전화
Text

MISSING 

Distinct297
Distinct (%)88.7%
Missing117
Missing (%)25.9%
Memory size3.7 KiB
2023-12-12T08:56:28.259341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.779104
Min length9

Characters and Unicode

Total characters3946
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

Unique283 ?
Unique (%)84.5%

Sample

1st row031-872-1599
2nd row031-821-5513
3rd row031-821-4400
4th row031-872-9117
5th row031-873-9690
ValueCountFrequency (%)
1644-5425 12
 
3.6%
1577-0711 8
 
2.4%
1577-9621 7
 
2.1%
02-6916-1500 4
 
1.2%
1577-8007 3
 
0.9%
031-842-7011 2
 
0.6%
070-8823-9444 2
 
0.6%
031-873-1391 2
 
0.6%
031-851-5068 2
 
0.6%
02-1577-8007 2
 
0.6%
Other values (287) 291
86.9%
2023-12-12T08:56:28.659849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 640
16.2%
1 553
14.0%
0 487
12.3%
3 443
11.2%
8 435
11.0%
7 335
8.5%
5 269
6.8%
2 234
 
5.9%
4 201
 
5.1%
6 194
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3306
83.8%
Dash Punctuation 640
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 553
16.7%
0 487
14.7%
3 443
13.4%
8 435
13.2%
7 335
10.1%
5 269
8.1%
2 234
7.1%
4 201
 
6.1%
6 194
 
5.9%
9 155
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 640
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 640
16.2%
1 553
14.0%
0 487
12.3%
3 443
11.2%
8 435
11.0%
7 335
8.5%
5 269
6.8%
2 234
 
5.9%
4 201
 
5.1%
6 194
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 640
16.2%
1 553
14.0%
0 487
12.3%
3 443
11.2%
8 435
11.0%
7 335
8.5%
5 269
6.8%
2 234
 
5.9%
4 201
 
5.1%
6 194
 
4.9%

소재지전체주소
Text

Distinct444
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T08:56:28.999416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length22.716814
Min length13

Characters and Unicode

Total characters10268
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)96.5%

Sample

1st row경기도 의정부시 의정부동 133번지 20호
2nd row경기도 의정부시 신곡동 483번지
3rd row경기도 의정부시 신곡동 355번지 4호
4th row경기도 의정부시 의정부동 138번지 1호
5th row경기도 의정부시 의정부동 133번지 49호
ValueCountFrequency (%)
경기도 452
19.9%
의정부시 452
19.9%
의정부동 130
 
5.7%
가능동 57
 
2.5%
호원동 54
 
2.4%
신곡동 53
 
2.3%
민락동 48
 
2.1%
1호 47
 
2.1%
금오동 29
 
1.3%
3호 26
 
1.1%
Other values (587) 918
40.5%
2023-12-12T08:56:29.438102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1814
17.7%
정 597
 
5.8%
부 595
 
5.8%
의 593
 
5.8%
동 461
 
4.5%
도 458
 
4.5%
시 457
 
4.5%
경 454
 
4.4%
기 452
 
4.4%
지 339
 
3.3%
Other values (228) 4048
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6474
63.1%
Decimal Number 1852
 
18.0%
Space Separator 1814
 
17.7%
Dash Punctuation 102
 
1.0%
Uppercase Letter 16
 
0.2%
Other Punctuation 6
 
0.1%
Lowercase Letter 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 597
 
9.2%
부 595
 
9.2%
의 593
 
9.2%
동 461
 
7.1%
도 458
 
7.1%
시 457
 
7.1%
경 454
 
7.0%
기 452
 
7.0%
지 339
 
5.2%
호 319
 
4.9%
Other values (199) 1749
27.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
18.8%
N 2
12.5%
H 2
12.5%
F 2
12.5%
M 1
 
6.2%
W 1
 
6.2%
E 1
 
6.2%
V 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 329
17.8%
7 210
11.3%
2 210
11.3%
4 206
11.1%
3 206
11.1%
6 163
8.8%
5 153
8.3%
0 148
8.0%
8 120
 
6.5%
9 107
 
5.8%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
· 2
33.3%
, 2
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
1814
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6474
63.1%
Common 3774
36.8%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 597
 
9.2%
부 595
 
9.2%
의 593
 
9.2%
동 461
 
7.1%
도 458
 
7.1%
시 457
 
7.1%
경 454
 
7.0%
기 452
 
7.0%
지 339
 
5.2%
호 319
 
4.9%
Other values (199) 1749
27.0%
Common
ValueCountFrequency (%)
1814
48.1%
1 329
 
8.7%
7 210
 
5.6%
2 210
 
5.6%
4 206
 
5.5%
3 206
 
5.5%
6 163
 
4.3%
5 153
 
4.1%
0 148
 
3.9%
8 120
 
3.2%
Other values (5) 215
 
5.7%
Latin
ValueCountFrequency (%)
I 3
15.0%
e 2
10.0%
N 2
10.0%
H 2
10.0%
F 2
10.0%
Ⅰ 1
 
5.0%
M 1
 
5.0%
Ⅱ 1
 
5.0%
W 1
 
5.0%
E 1
 
5.0%
Other values (4) 4
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6474
63.1%
ASCII 3790
36.9%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1814
47.9%
1 329
 
8.7%
7 210
 
5.5%
2 210
 
5.5%
4 206
 
5.4%
3 206
 
5.4%
6 163
 
4.3%
5 153
 
4.0%
0 148
 
3.9%
8 120
 
3.2%
Other values (16) 231
 
6.1%
Hangul
ValueCountFrequency (%)
정 597
 
9.2%
부 595
 
9.2%
의 593
 
9.2%
동 461
 
7.1%
도 458
 
7.1%
시 457
 
7.1%
경 454
 
7.0%
기 452
 
7.0%
지 339
 
5.2%
호 319
 
4.9%
Other values (199) 1749
27.0%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

도로명전체주소
Text

Distinct450
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T08:56:29.736439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length33.480088
Min length20

Characters and Unicode

Total characters15133
Distinct characters292
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

Unique448 ?
Unique (%)99.1%

Sample

1st row경기도 의정부시 시민로122번길 9-18 (의정부동)
2nd row경기도 의정부시 능곡로26번길 19, 1층 (신곡동)
3rd row경기도 의정부시 동일로466번길 53, 1층 (신곡동)
4th row경기도 의정부시 평화로494번길 8, 1층 (의정부동)
5th row경기도 의정부시 평화로504번길 21, 1층 (의정부동)
ValueCountFrequency (%)
경기도 452
 
15.1%
의정부시 452
 
15.1%
1층 255
 
8.5%
의정부동 128
 
4.3%
가능동 55
 
1.8%
호원동 54
 
1.8%
신곡동 52
 
1.7%
민락동 48
 
1.6%
상가동 42
 
1.4%
101호 36
 
1.2%
Other values (732) 1427
47.6%
2023-12-12T08:56:30.102933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2549
 
16.8%
1 970
 
6.4%
의 619
 
4.1%
정 615
 
4.1%
부 613
 
4.1%
, 568
 
3.8%
동 563
 
3.7%
시 486
 
3.2%
경 463
 
3.1%
도 460
 
3.0%
Other values (282) 7227
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8286
54.8%
Decimal Number 2740
 
18.1%
Space Separator 2549
 
16.8%
Other Punctuation 575
 
3.8%
Open Punctuation 453
 
3.0%
Close Punctuation 453
 
3.0%
Dash Punctuation 40
 
0.3%
Uppercase Letter 28
 
0.2%
Math Symbol 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 619
 
7.5%
정 615
 
7.4%
부 613
 
7.4%
동 563
 
6.8%
시 486
 
5.9%
경 463
 
5.6%
도 460
 
5.6%
기 452
 
5.5%
로 452
 
5.5%
호 279
 
3.4%
Other values (248) 3284
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
32.1%
I 3
 
10.7%
A 3
 
10.7%
N 2
 
7.1%
S 2
 
7.1%
H 2
 
7.1%
F 2
 
7.1%
M 1
 
3.6%
W 1
 
3.6%
E 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 970
35.4%
2 340
 
12.4%
0 331
 
12.1%
3 215
 
7.8%
4 196
 
7.2%
5 177
 
6.5%
6 148
 
5.4%
8 125
 
4.6%
9 124
 
4.5%
7 114
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 568
98.8%
. 3
 
0.5%
& 2
 
0.3%
· 2
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
2549
100.0%
Open Punctuation
ValueCountFrequency (%)
( 453
100.0%
Close Punctuation
ValueCountFrequency (%)
) 453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8286
54.8%
Common 6815
45.0%
Latin 32
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 619
 
7.5%
정 615
 
7.4%
부 613
 
7.4%
동 563
 
6.8%
시 486
 
5.9%
경 463
 
5.6%
도 460
 
5.6%
기 452
 
5.5%
로 452
 
5.5%
호 279
 
3.4%
Other values (248) 3284
39.6%
Common
ValueCountFrequency (%)
2549
37.4%
1 970
 
14.2%
, 568
 
8.3%
( 453
 
6.6%
) 453
 
6.6%
2 340
 
5.0%
0 331
 
4.9%
3 215
 
3.2%
4 196
 
2.9%
5 177
 
2.6%
Other values (9) 563
 
8.3%
Latin
ValueCountFrequency (%)
B 9
28.1%
I 3
 
9.4%
A 3
 
9.4%
N 2
 
6.2%
S 2
 
6.2%
e 2
 
6.2%
H 2
 
6.2%
F 2
 
6.2%
Ⅰ 1
 
3.1%
M 1
 
3.1%
Other values (5) 5
15.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8286
54.8%
ASCII 6843
45.2%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2549
37.2%
1 970
 
14.2%
, 568
 
8.3%
( 453
 
6.6%
) 453
 
6.6%
2 340
 
5.0%
0 331
 
4.8%
3 215
 
3.1%
4 196
 
2.9%
5 177
 
2.6%
Other values (21) 591
 
8.6%
Hangul
ValueCountFrequency (%)
의 619
 
7.5%
정 615
 
7.4%
부 613
 
7.4%
동 563
 
6.8%
시 486
 
5.9%
경 463
 
5.6%
도 460
 
5.6%
기 452
 
5.5%
로 452
 
5.5%
호 279
 
3.4%
Other values (248) 3284
39.6%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

도로명우편번호
Real number (ℝ)

UNIQUE 

Distinct452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12026.5
Minimum11801
Maximum12252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T08:56:30.213001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11801
5-th percentile11823.55
Q111913.75
median12026.5
Q312139.25
95-th percentile12229.45
Maximum12252
Range451
Interquartile range (IQR)225.5

Descriptive statistics

Standard deviation130.62542
Coefficient of variation (CV)0.010861466
Kurtosis-1.2
Mean12026.5
Median Absolute Deviation (MAD)113
Skewness0
Sum5435978
Variance17063
MonotonicityNot monotonic
2023-12-12T08:56:30.327196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12252 1
 
0.2%
11968 1
 
0.2%
11942 1
 
0.2%
11943 1
 
0.2%
11944 1
 
0.2%
11945 1
 
0.2%
11946 1
 
0.2%
11947 1
 
0.2%
11948 1
 
0.2%
11949 1
 
0.2%
Other values (442) 442
97.8%
ValueCountFrequency (%)
11801 1
0.2%
11802 1
0.2%
11803 1
0.2%
11804 1
0.2%
11805 1
0.2%
11806 1
0.2%
11807 1
0.2%
11808 1
0.2%
11809 1
0.2%
11810 1
0.2%
ValueCountFrequency (%)
12252 1
0.2%
12251 1
0.2%
12250 1
0.2%
12249 1
0.2%
12248 1
0.2%
12247 1
0.2%
12246 1
0.2%
12245 1
0.2%
12244 1
0.2%
12243 1
0.2%

사업장명
Text

Distinct450
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T08:56:30.573660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length11.376106
Min length4

Characters and Unicode

Total characters5142
Distinct characters291
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique448 ?
Unique (%)99.1%

Sample

1st rowGS25 의정소망점
2nd row씨유 신곡중앙점
3rd row씨유 신곡서해점
4th row세븐일레븐 의정부평화로점
5th row씨유 의정부원룸점
ValueCountFrequency (%)
씨유 107
 
12.5%
세븐일레븐 85
 
9.9%
gs25 68
 
7.9%
주)코리아세븐 33
 
3.9%
지에스(gs)25 29
 
3.4%
지에스25 10
 
1.2%
미니스톱 8
 
0.9%
cu 8
 
0.9%
이마트24 8
 
0.9%
의정부 7
 
0.8%
Other values (447) 494
57.6%
2023-12-12T08:56:30.914921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
407
 
7.9%
점 402
 
7.8%
정 297
 
5.8%
의 289
 
5.6%
부 219
 
4.3%
븐 209
 
4.1%
2 166
 
3.2%
5 163
 
3.2%
S 135
 
2.6%
유 130
 
2.5%
Other values (281) 2725
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3881
75.5%
Space Separator 407
 
7.9%
Decimal Number 370
 
7.2%
Uppercase Letter 310
 
6.0%
Close Punctuation 81
 
1.6%
Open Punctuation 81
 
1.6%
Lowercase Letter 11
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 402
 
10.4%
정 297
 
7.7%
의 289
 
7.4%
부 219
 
5.6%
븐 209
 
5.4%
유 130
 
3.3%
세 130
 
3.3%
씨 126
 
3.2%
일 98
 
2.5%
스 93
 
2.4%
Other values (248) 1888
48.6%
Uppercase Letter
ValueCountFrequency (%)
S 135
43.5%
G 129
41.6%
C 15
 
4.8%
U 14
 
4.5%
K 5
 
1.6%
I 3
 
1.0%
R 2
 
0.6%
P 2
 
0.6%
L 2
 
0.6%
E 1
 
0.3%
Other values (2) 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
s 2
18.2%
g 2
18.2%
u 1
9.1%
c 1
9.1%
t 1
9.1%
r 1
9.1%
a 1
9.1%
m 1
9.1%
e 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 166
44.9%
5 163
44.1%
3 13
 
3.5%
4 13
 
3.5%
6 8
 
2.2%
1 5
 
1.4%
9 1
 
0.3%
7 1
 
0.3%
Space Separator
ValueCountFrequency (%)
407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3881
75.5%
Common 940
 
18.3%
Latin 321
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 402
 
10.4%
정 297
 
7.7%
의 289
 
7.4%
부 219
 
5.6%
븐 209
 
5.4%
유 130
 
3.3%
세 130
 
3.3%
씨 126
 
3.2%
일 98
 
2.5%
스 93
 
2.4%
Other values (248) 1888
48.6%
Latin
ValueCountFrequency (%)
S 135
42.1%
G 129
40.2%
C 15
 
4.7%
U 14
 
4.4%
K 5
 
1.6%
I 3
 
0.9%
R 2
 
0.6%
P 2
 
0.6%
L 2
 
0.6%
s 2
 
0.6%
Other values (11) 12
 
3.7%
Common
ValueCountFrequency (%)
407
43.3%
2 166
17.7%
5 163
17.3%
) 81
 
8.6%
( 81
 
8.6%
3 13
 
1.4%
4 13
 
1.4%
6 8
 
0.9%
1 5
 
0.5%
9 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3881
75.5%
ASCII 1261
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
407
32.3%
2 166
13.2%
5 163
12.9%
S 135
 
10.7%
G 129
 
10.2%
) 81
 
6.4%
( 81
 
6.4%
C 15
 
1.2%
U 14
 
1.1%
3 13
 
1.0%
Other values (23) 57
 
4.5%
Hangul
ValueCountFrequency (%)
점 402
 
10.4%
정 297
 
7.7%
의 289
 
7.4%
부 219
 
5.6%
븐 209
 
5.4%
유 130
 
3.3%
세 130
 
3.3%
씨 126
 
3.2%
일 98
 
2.5%
스 93
 
2.4%
Other values (248) 1888
48.6%

위도
Real number (ℝ)

MISSING 

Distinct415
Distinct (%)96.1%
Missing20
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean37.739279
Minimum37.690557
Maximum37.762867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T08:56:31.054386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.690557
5-th percentile37.711605
Q137.734103
median37.741324
Q337.747625
95-th percentile37.75639
Maximum37.762867
Range0.07231055
Interquartile range (IQR)0.013522785

Descriptive statistics

Standard deviation0.01270037
Coefficient of variation (CV)0.0003365292
Kurtosis1.7632626
Mean37.739279
Median Absolute Deviation (MAD)0.006642165
Skewness-1.1287295
Sum16303.369
Variance0.00016129939
MonotonicityNot monotonic
2023-12-12T08:56:31.179205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.73624818 2
 
0.4%
37.74659115 2
 
0.4%
37.74284663 2
 
0.4%
37.73181983 2
 
0.4%
37.74927666 2
 
0.4%
37.74491111 2
 
0.4%
37.74950377 2
 
0.4%
37.70945854 2
 
0.4%
37.73503687 2
 
0.4%
37.72366573 2
 
0.4%
Other values (405) 412
91.2%
(Missing) 20
 
4.4%
ValueCountFrequency (%)
37.69055657 1
0.2%
37.69071282 1
0.2%
37.69586867 1
0.2%
37.69961315 1
0.2%
37.69989375 1
0.2%
37.700105 1
0.2%
37.70185093 1
0.2%
37.70241932 1
0.2%
37.70248423 1
0.2%
37.7042241 1
0.2%
ValueCountFrequency (%)
37.76286712 1
0.2%
37.76282862 1
0.2%
37.76195357 1
0.2%
37.76096941 1
0.2%
37.76096505 1
0.2%
37.760688 1
0.2%
37.7604811 1
0.2%
37.75976428 1
0.2%
37.75976275 1
0.2%
37.759757 1
0.2%

경도
Text

MISSING 

Distinct416
Distinct (%)96.1%
Missing19
Missing (%)4.2%
Memory size3.7 KiB
2023-12-12T08:56:31.441654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.882217
Min length2

Characters and Unicode

Total characters4712
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique399 ?
Unique (%)92.1%

Sample

1st row127.0492351
2nd row127.0609182
3rd row127.0616947
4th row127.0483801
5th row127.0439251
ValueCountFrequency (%)
127.0311554 2
 
0.5%
127.0693726 2
 
0.5%
127.0993153 2
 
0.5%
127.0694749 2
 
0.5%
127.0483573 2
 
0.5%
127.0440933 2
 
0.5%
127.0467299 2
 
0.5%
127.0498581 2
 
0.5%
127.0371136 2
 
0.5%
127.1172584 2
 
0.5%
Other values (406) 413
95.4%
2023-12-12T08:56:32.097782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 698
14.8%
1 677
14.4%
2 642
13.6%
0 591
12.5%
. 432
9.2%
4 360
7.6%
3 282
6.0%
6 267
 
5.7%
5 266
 
5.6%
8 250
 
5.3%
Other values (3) 247
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4278
90.8%
Other Punctuation 433
 
9.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 698
16.3%
1 677
15.8%
2 642
15.0%
0 591
13.8%
4 360
8.4%
3 282
6.6%
6 267
 
6.2%
5 266
 
6.2%
8 250
 
5.8%
9 245
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 432
99.8%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4712
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 698
14.8%
1 677
14.4%
2 642
13.6%
0 591
12.5%
. 432
9.2%
4 360
7.6%
3 282
6.0%
6 267
 
5.7%
5 266
 
5.6%
8 250
 
5.3%
Other values (3) 247
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 698
14.8%
1 677
14.4%
2 642
13.6%
0 591
12.5%
. 432
9.2%
4 360
7.6%
3 282
6.0%
6 267
 
5.7%
5 266
 
5.6%
8 250
 
5.3%
Other values (3) 247
 
5.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-12T08:56:32.192814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:32.266309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:56:26.592689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:26.437766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:26.668312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:56:26.509816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:56:32.322937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명우편번호위도
도로명우편번호1.0000.055
위도0.0551.000
2023-12-12T08:56:32.397769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명우편번호위도
도로명우편번호1.0000.010
위도0.0101.000

Missing values

2023-12-12T08:56:26.804245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:56:26.932499image/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.
2023-12-12T08:56:27.026367image/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

관리번호인허가일자영업상태명소재지전화소재지전체주소도로명전체주소도로명우편번호사업장명위도경도데이터기준일자
0PHMH3-2012-3820050-08-75-000012013-07-17영업/정상031-872-1599경기도 의정부시 의정부동 133번지 20호경기도 의정부시 시민로122번길 9-18 (의정부동)12252GS25 의정소망점37.737544127.04923512023-01-01
1PHMH3-2012-3820050-08-75-000102013-07-17영업/정상031-821-5513경기도 의정부시 신곡동 483번지경기도 의정부시 능곡로26번길 19, 1층 (신곡동)12251씨유 신곡중앙점37.74018127.06091822023-01-01
2PHMH3-2012-3820050-08-75-000192013-07-17영업/정상031-821-4400경기도 의정부시 신곡동 355번지 4호경기도 의정부시 동일로466번길 53, 1층 (신곡동)12249씨유 신곡서해점37.72909127.06169472023-01-01
3PHMH3-2012-3820050-08-75-000222013-07-17영업/정상031-872-9117경기도 의정부시 의정부동 138번지 1호경기도 의정부시 평화로494번길 8, 1층 (의정부동)12243세븐일레븐 의정부평화로점37.735999127.04838012023-01-01
4PHMH3-2012-3820050-08-75-000242013-07-17영업/정상031-873-9690경기도 의정부시 의정부동 133번지 49호경기도 의정부시 평화로504번길 21, 1층 (의정부동)12244씨유 의정부원룸점<NA><NA>2023-01-01
5PHMH3-2012-3820050-08-75-000252013-07-17영업/정상031-875-8174경기도 의정부시 의정부동 497번지 12호경기도 의정부시 신흥로232번길 5, 1층 (의정부동)12245세븐일레븐 의정부거성점37.736966127.04392512023-01-01
6PHMH3-2012-3820050-08-75-000342013-07-17영업/정상031-842-7011경기도 의정부시 의정부동 171번지 13호경기도 의정부시 태평로63번길 24, 1층 (의정부동)12246세븐일레븐 제일시장점37.738545127.05038432023-01-01
7PHMH3-2012-3820050-08-75-000362013-07-17영업/정상031-875-8566경기도 의정부시 가능동 616번지 4호경기도 의정부시 신촌로 23, 1층 (가능동)12247세븐일레븐 의정부가로수점37.750395127.03714852023-01-01
8PHMH3-2012-3820050-08-75-000412013-07-17영업/정상031-848-4245경기도 의정부시 의정부동 211번지 1호경기도 의정부시 평화로561번길 11, 1층 (의정부동)12248씨유 의정부행복점37.741916127.04613762023-01-01
9PHMH3-2012-3820050-08-75-000432013-07-18영업/정상031-877-8050경기도 의정부시 신곡동 352번지 13호경기도 의정부시 동일로 472, 1층 (신곡동)12241GS25 의정신곡점37.730589127.05935642023-01-01
관리번호인허가일자영업상태명소재지전화소재지전체주소도로명전체주소도로명우편번호사업장명위도경도데이터기준일자
442PHMH3-2022-3820050-08-75-000412022-11-01영업/정상<NA>경기도 의정부시 민락동 927-3 의정부 더리브 센텀스퀘어Ⅱ 지식산업센터경기도 의정부시 배꽃길 7, 의정부 더리브 센텀스퀘어Ⅱ 지식산업센터 2동 B107호 (민락동)11809씨유 고산센텀점<NA><NA>2023-01-01
443PHMH3-2022-3820050-08-75-000422022-11-01영업/정상1577-0711경기도 의정부시 의정부동 288 동화아파트경기도 의정부시 백석로 12, 동화프라자상가 1층 103호 (의정부동)11811(주)코리아세븐 의정부동화점37.730389127.03972162023-01-01
444PHMH3-2022-3820050-08-75-000432022-11-08영업/정상1577-0711경기도 의정부시 민락동 927-1 의정부 더리브 센텀스퀘어Ⅰ 지식산업센터경기도 의정부시 배꽃길 105, 의정부 더리브 센텀스퀘어Ⅰ 지식산업센터 1동 125호 (민락동)11808세븐일레븐 고산센텀점<NA><NA>2023-01-01
445PHMH3-2022-3820050-08-75-000442022-11-28영업/정상<NA>경기도 의정부시 용현동 545-8 성지빌딩경기도 의정부시 부용로213번길 14, 1층 101호 (용현동)11807씨유 의정부새싹5호점37.750036127.08064562023-01-01
446PHMH3-2022-3820050-08-75-000462022-12-12영업/정상1577-0711경기도 의정부시 가능동 7-73 삼층방아간경기도 의정부시 태평로184번길 16, 1층 (가능동)11806세븐일레븐 의정부삼흥점37.748646127.04906642023-01-01
447PHMH3-2022-3820050-08-75-000472022-12-22영업/정상<NA>경기도 의정부시 의정부동 567 창원빌딩경기도 의정부시 신흥로 222, 창원빌딩 1층 (의정부동)11804지에스(GS)25 의정창원점37.73582127.0436552023-01-01
448PHMH3-2022-3820050-08-75-000482022-12-22영업/정상<NA>경기도 의정부시 의정부동 212-2경기도 의정부시 평화로551번길 13(의정부동)11805(주)코리아세븐 의정부파크점37.740928127.04633452023-01-01
449PHMH3-2022-3820050-08-75-000492022-12-22영업/정상<NA>경기도 의정부시 가능동 207-22경기도 의정부시 태평로214번길 3-6(가능동)11803세븐일레븐 가능스토리점37.750259127.04600922023-01-01
450PHMH3-2023-3820050-08-75-000012023-01-03영업/정상<NA>경기도 의정부시 고산동 879 정음마을 고산1단지경기도 의정부시 입암로 14, 정음마을 고산1단지 상가동 1층 102,103호 (고산동)11802씨유 뉴고산한신점37.743706127.11725842023-01-01
451PHMH3-2023-3820050-08-75-000022023-01-12영업/정상<NA>경기도 의정부시 고산동 903 고산3단지경기도 의정부시 훈민로 13, 제상가동2동 1층 1,2~3,4호 (고산동, 고산3단지)11801(주)비지에프리테일 의정고산점<NA>,2023-01-01