Overview

Dataset statistics

Number of variables10
Number of observations102
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory83.3 B

Variable types

Categorical3
Text4
Numeric2
DateTime1

Dataset

Description경기도 수원시 의약품도매업소현황으로 영업종별, 영업소명, 소재지(도로명주소, 번지주소, 위경도), 전화번호 등의 정보를 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15041752/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
영업종별 is highly imbalanced (61.2%)Imbalance
영업소전화번호 has 3 (2.9%) missing valuesMissing
영업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:52:03.440089
Analysis finished2023-12-12 22:52:04.947445
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
경기도
102 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 102
100.0%

Length

2023-12-13T07:52:05.014416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:05.120271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 102
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
수원시
102 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 102
100.0%

Length

2023-12-13T07:52:05.240494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:05.345058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 102
100.0%

영업종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
일반종합도매
86 
원료의약품도매
 
7
한약도매
 
5
의료용 고압가스
 
3
기타(방사성동위원소)
 
1

Length

Max length11
Median length6
Mean length6.0784314
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반종합도매 86
84.3%
원료의약품도매 7
 
6.9%
한약도매 5
 
4.9%
의료용 고압가스 3
 
2.9%
기타(방사성동위원소) 1
 
1.0%

Length

2023-12-13T07:52:05.466993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:05.598172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반종합도매 86
81.9%
원료의약품도매 7
 
6.7%
한약도매 5
 
4.8%
의료용 3
 
2.9%
고압가스 3
 
2.9%
기타(방사성동위원소 1
 
1.0%

영업소명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-13T07:52:05.815556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length7.0784314
Min length3

Characters and Unicode

Total characters722
Distinct characters140
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row주식회사 주원약품
2nd row(주)에스이인터내셔널
3rd row(주)유일약품
4th row우경약품
5th row주식회사 새수원약품
ValueCountFrequency (%)
주식회사 19
 
15.0%
수원지점 3
 
2.4%
주)휴네트 1
 
0.8%
다온메디컬 1
 
0.8%
젠스메디칼 1
 
0.8%
메디시티 1
 
0.8%
스타메디컬 1
 
0.8%
에스케이팜 1
 
0.8%
주)제넨바이오 1
 
0.8%
트리메디칼(주 1
 
0.8%
Other values (97) 97
76.4%
2023-12-13T07:52:06.208888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 69
 
9.6%
) 48
 
6.6%
( 48
 
6.6%
스 29
 
4.0%
약 28
 
3.9%
팜 26
 
3.6%
25
 
3.5%
이 24
 
3.3%
사 23
 
3.2%
품 23
 
3.2%
Other values (130) 379
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
82.5%
Close Punctuation 48
 
6.6%
Open Punctuation 48
 
6.6%
Space Separator 25
 
3.5%
Uppercase Letter 3
 
0.4%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 69
 
11.6%
스 29
 
4.9%
약 28
 
4.7%
팜 26
 
4.4%
이 24
 
4.0%
사 23
 
3.9%
품 23
 
3.9%
식 21
 
3.5%
회 21
 
3.5%
메 16
 
2.7%
Other values (123) 316
53.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
C 1
33.3%
K 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
82.8%
Common 121
 
16.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 69
 
11.5%
스 29
 
4.8%
약 28
 
4.7%
팜 26
 
4.3%
이 24
 
4.0%
사 23
 
3.8%
품 23
 
3.8%
식 21
 
3.5%
회 21
 
3.5%
메 16
 
2.7%
Other values (124) 318
53.2%
Common
ValueCountFrequency (%)
) 48
39.7%
( 48
39.7%
25
20.7%
Latin
ValueCountFrequency (%)
J 1
33.3%
C 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
82.5%
ASCII 124
 
17.2%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 69
 
11.6%
스 29
 
4.9%
약 28
 
4.7%
팜 26
 
4.4%
이 24
 
4.0%
사 23
 
3.9%
품 23
 
3.9%
식 21
 
3.5%
회 21
 
3.5%
메 16
 
2.7%
Other values (123) 316
53.0%
ASCII
ValueCountFrequency (%)
) 48
38.7%
( 48
38.7%
25
20.2%
J 1
 
0.8%
C 1
 
0.8%
K 1
 
0.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지지번주소
Text

Distinct81
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-13T07:52:06.506902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.990196
Min length18

Characters and Unicode

Total characters2651
Distinct characters157
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

Unique75 ?
Unique (%)73.5%

Sample

1st row경기도 수원시 장안구 파장동 627-3 멕시칸치킨호프
2nd row경기도 수원시 장안구 영화동 436번지 23호 4층 1호 5호
3rd row경기도 수원시 장안구 율전동 107번지 3호 2층
4th row경기도 수원시 장안구 정자동 68번지 7호 2층
5th row경기도 수원시 장안구 파장동 627번지 6호 4층 401호
ValueCountFrequency (%)
경기도 102
 
16.1%
수원시 102
 
16.1%
영통구 41
 
6.5%
권선구 30
 
4.7%
권선동 19
 
3.0%
장안구 18
 
2.8%
영통동 17
 
2.7%
팔달구 13
 
2.1%
4호 10
 
1.6%
16호 9
 
1.4%
Other values (165) 271
42.9%
2023-12-13T07:52:06.933312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
530
20.0%
원 111
 
4.2%
수 105
 
4.0%
시 105
 
4.0%
구 104
 
3.9%
경 103
 
3.9%
동 103
 
3.9%
도 102
 
3.8%
기 102
 
3.8%
1 99
 
3.7%
Other values (147) 1187
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1570
59.2%
Space Separator 530
 
20.0%
Decimal Number 480
 
18.1%
Dash Punctuation 35
 
1.3%
Uppercase Letter 18
 
0.7%
Lowercase Letter 12
 
0.5%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 111
 
7.1%
수 105
 
6.7%
시 105
 
6.7%
구 104
 
6.6%
경 103
 
6.6%
동 103
 
6.6%
도 102
 
6.5%
기 102
 
6.5%
영 63
 
4.0%
통 60
 
3.8%
Other values (117) 612
39.0%
Decimal Number
ValueCountFrequency (%)
1 99
20.6%
9 66
13.8%
3 60
12.5%
4 49
10.2%
0 48
10.0%
2 46
9.6%
6 45
9.4%
5 27
 
5.6%
8 21
 
4.4%
7 19
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
V 3
16.7%
K 3
16.7%
S 3
16.7%
I 2
11.1%
E 2
11.1%
W 2
11.1%
L 2
11.1%
A 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
a 2
16.7%
k 2
16.7%
e 2
16.7%
m 1
8.3%
t 1
8.3%
r 1
8.3%
s 1
8.3%
Space Separator
ValueCountFrequency (%)
530
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1570
59.2%
Common 1051
39.6%
Latin 30
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 111
 
7.1%
수 105
 
6.7%
시 105
 
6.7%
구 104
 
6.6%
경 103
 
6.6%
동 103
 
6.6%
도 102
 
6.5%
기 102
 
6.5%
영 63
 
4.0%
통 60
 
3.8%
Other values (117) 612
39.0%
Latin
ValueCountFrequency (%)
V 3
10.0%
K 3
10.0%
S 3
10.0%
o 2
 
6.7%
I 2
 
6.7%
E 2
 
6.7%
W 2
 
6.7%
L 2
 
6.7%
a 2
 
6.7%
k 2
 
6.7%
Other values (6) 7
23.3%
Common
ValueCountFrequency (%)
530
50.4%
1 99
 
9.4%
9 66
 
6.3%
3 60
 
5.7%
4 49
 
4.7%
0 48
 
4.6%
2 46
 
4.4%
6 45
 
4.3%
- 35
 
3.3%
5 27
 
2.6%
Other values (4) 46
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1570
59.2%
ASCII 1081
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
530
49.0%
1 99
 
9.2%
9 66
 
6.1%
3 60
 
5.6%
4 49
 
4.5%
0 48
 
4.4%
2 46
 
4.3%
6 45
 
4.2%
- 35
 
3.2%
5 27
 
2.5%
Other values (20) 76
 
7.0%
Hangul
ValueCountFrequency (%)
원 111
 
7.1%
수 105
 
6.7%
시 105
 
6.7%
구 104
 
6.6%
경 103
 
6.6%
동 103
 
6.6%
도 102
 
6.5%
기 102
 
6.5%
영 63
 
4.0%
통 60
 
3.8%
Other values (117) 612
39.0%

소재지도로명주소
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-13T07:52:07.247753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length34.686275
Min length24

Characters and Unicode

Total characters3538
Distinct characters180
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 장안구 파장천로44번길 82 멕시칸치킨호프 301호 (파장동)
2nd row경기도 수원시 장안구 영화로 8 4층 1호 5호 (영화동)
3rd row경기도 수원시 장안구 덕영대로445번길 74 2층 (율전동)
4th row경기도 수원시 장안구 영화로72번길 7 2층 (정자동)
5th row경기도 수원시 장안구 경수대로 1022 4층 401호 (파장동 오승빌딩)
ValueCountFrequency (%)
경기도 102
 
12.8%
수원시 102
 
12.8%
영통구 41
 
5.1%
권선구 30
 
3.8%
권선동 19
 
2.4%
장안구 18
 
2.3%
영통동 17
 
2.1%
효원로 16
 
2.0%
2층 16
 
2.0%
182 15
 
1.9%
Other values (252) 421
52.8%
2023-12-13T07:52:08.023769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
695
 
19.6%
1 133
 
3.8%
원 130
 
3.7%
수 115
 
3.3%
2 113
 
3.2%
경 112
 
3.2%
동 108
 
3.1%
시 104
 
2.9%
구 104
 
2.9%
) 102
 
2.9%
Other values (170) 1822
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1978
55.9%
Space Separator 695
 
19.6%
Decimal Number 614
 
17.4%
Close Punctuation 102
 
2.9%
Open Punctuation 102
 
2.9%
Uppercase Letter 21
 
0.6%
Dash Punctuation 12
 
0.3%
Lowercase Letter 12
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 130
 
6.6%
수 115
 
5.8%
경 112
 
5.7%
동 108
 
5.5%
시 104
 
5.3%
구 104
 
5.3%
기 102
 
5.2%
도 102
 
5.2%
로 102
 
5.2%
영 74
 
3.7%
Other values (138) 925
46.8%
Decimal Number
ValueCountFrequency (%)
1 133
21.7%
2 113
18.4%
0 73
11.9%
4 63
10.3%
3 56
9.1%
5 52
 
8.5%
8 42
 
6.8%
6 34
 
5.5%
7 27
 
4.4%
9 21
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
14.3%
K 3
14.3%
V 3
14.3%
B 3
14.3%
E 2
9.5%
I 2
9.5%
W 2
9.5%
L 2
9.5%
A 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
k 2
16.7%
e 2
16.7%
o 2
16.7%
m 1
8.3%
s 1
8.3%
r 1
8.3%
t 1
8.3%
Space Separator
ValueCountFrequency (%)
695
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1978
55.9%
Common 1527
43.2%
Latin 33
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 130
 
6.6%
수 115
 
5.8%
경 112
 
5.7%
동 108
 
5.5%
시 104
 
5.3%
구 104
 
5.3%
기 102
 
5.2%
도 102
 
5.2%
로 102
 
5.2%
영 74
 
3.7%
Other values (138) 925
46.8%
Latin
ValueCountFrequency (%)
S 3
 
9.1%
K 3
 
9.1%
V 3
 
9.1%
B 3
 
9.1%
E 2
 
6.1%
I 2
 
6.1%
a 2
 
6.1%
W 2
 
6.1%
L 2
 
6.1%
k 2
 
6.1%
Other values (7) 9
27.3%
Common
ValueCountFrequency (%)
695
45.5%
1 133
 
8.7%
2 113
 
7.4%
) 102
 
6.7%
( 102
 
6.7%
0 73
 
4.8%
4 63
 
4.1%
3 56
 
3.7%
5 52
 
3.4%
8 42
 
2.8%
Other values (5) 96
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1978
55.9%
ASCII 1560
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
695
44.6%
1 133
 
8.5%
2 113
 
7.2%
) 102
 
6.5%
( 102
 
6.5%
0 73
 
4.7%
4 63
 
4.0%
3 56
 
3.6%
5 52
 
3.3%
8 42
 
2.7%
Other values (22) 129
 
8.3%
Hangul
ValueCountFrequency (%)
원 130
 
6.6%
수 115
 
5.8%
경 112
 
5.7%
동 108
 
5.5%
시 104
 
5.3%
구 104
 
5.3%
기 102
 
5.2%
도 102
 
5.2%
로 102
 
5.2%
영 74
 
3.7%
Other values (138) 925
46.8%

영업소전화번호
Text

MISSING 

Distinct97
Distinct (%)98.0%
Missing3
Missing (%)2.9%
Memory size948.0 B
2023-12-13T07:52:08.328411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.121212
Min length9

Characters and Unicode

Total characters1200
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

Unique95 ?
Unique (%)96.0%

Sample

1st row031-258-7471
2nd row031-308-0033
3rd row031-271-9744
4th row031-241-5037
5th row031-244-2264
ValueCountFrequency (%)
031-216-8607 2
 
2.0%
031-206-6617 2
 
2.0%
031-548-0785 1
 
1.0%
031-212-4187 1
 
1.0%
031-205-5511 1
 
1.0%
031-457-3600 1
 
1.0%
070-7543-2029 1
 
1.0%
031-895-4446 1
 
1.0%
031-203-7270 1
 
1.0%
031-548-2688 1
 
1.0%
Other values (87) 87
87.9%
2023-12-13T07:52:08.760303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 196
16.3%
0 194
16.2%
1 158
13.2%
3 143
11.9%
2 137
11.4%
8 81
6.8%
7 81
6.8%
6 72
 
6.0%
4 63
 
5.2%
5 55
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1004
83.7%
Dash Punctuation 196
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
19.3%
1 158
15.7%
3 143
14.2%
2 137
13.6%
8 81
8.1%
7 81
8.1%
6 72
 
7.2%
4 63
 
6.3%
5 55
 
5.5%
9 20
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 196
16.3%
0 194
16.2%
1 158
13.2%
3 143
11.9%
2 137
11.4%
8 81
6.8%
7 81
6.8%
6 72
 
6.0%
4 63
 
5.2%
5 55
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 196
16.3%
0 194
16.2%
1 158
13.2%
3 143
11.9%
2 137
11.4%
8 81
6.8%
7 81
6.8%
6 72
 
6.0%
4 63
 
5.2%
5 55
 
4.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct72
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.271758
Minimum37.234379
Maximum37.321373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T07:52:08.917244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.234379
5-th percentile37.247147
Q137.256093
median37.266102
Q337.287481
95-th percentile37.307012
Maximum37.321373
Range0.08699369
Interquartile range (IQR)0.031388247

Descriptive statistics

Standard deviation0.02006252
Coefficient of variation (CV)0.00053827673
Kurtosis-0.70554022
Mean37.271758
Median Absolute Deviation (MAD)0.016202235
Skewness0.42111637
Sum3801.7193
Variance0.0004025047
MonotonicityNot monotonic
2023-12-13T07:52:09.091247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26402893 15
 
14.7%
37.24989992 10
 
9.8%
37.28800777 3
 
2.9%
37.311188 2
 
2.0%
37.2952776 2
 
2.0%
37.24244482 2
 
2.0%
37.27241744 2
 
2.0%
37.28748089 2
 
2.0%
37.25912076 1
 
1.0%
37.23610877 1
 
1.0%
Other values (62) 62
60.8%
ValueCountFrequency (%)
37.23437945 1
 
1.0%
37.23610877 1
 
1.0%
37.23956568 1
 
1.0%
37.24244482 2
 
2.0%
37.2470963 1
 
1.0%
37.24811077 1
 
1.0%
37.2483826 1
 
1.0%
37.24841858 1
 
1.0%
37.2498 1
 
1.0%
37.24989992 10
9.8%
ValueCountFrequency (%)
37.32137314 1
1.0%
37.311188 2
2.0%
37.30737977 1
1.0%
37.3073562 1
1.0%
37.30704878 1
1.0%
37.30631804 1
1.0%
37.30510865 1
1.0%
37.3049162 1
1.0%
37.30423058 1
1.0%
37.30422314 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03235
Minimum126.94179
Maximum127.07946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T07:52:09.302345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.94179
5-th percentile126.97632
Q1127.01353
median127.02804
Q3127.0599
95-th percentile127.07914
Maximum127.07946
Range0.1376776
Interquartile range (IQR)0.046363225

Descriptive statistics

Standard deviation0.032420221
Coefficient of variation (CV)0.00025521233
Kurtosis-0.40266848
Mean127.03235
Median Absolute Deviation (MAD)0.02221445
Skewness-0.27811441
Sum12957.299
Variance0.0010510707
MonotonicityNot monotonic
2023-12-13T07:52:09.456467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0217791 15
 
14.7%
127.079136 10
 
9.8%
127.0105951 3
 
2.9%
126.9785874 2
 
2.0%
127.0601784 2
 
2.0%
126.9841072 2
 
2.0%
127.0406481 2
 
2.0%
127.0527216 2
 
2.0%
127.0693424 2
 
2.0%
127.0306299 1
 
1.0%
Other values (61) 61
59.8%
ValueCountFrequency (%)
126.9417868 1
1.0%
126.9602972 1
1.0%
126.9676337 1
1.0%
126.9709279 1
1.0%
126.9721552 1
1.0%
126.9761967 1
1.0%
126.9785874 2
2.0%
126.9841072 2
2.0%
126.9904761 1
1.0%
126.992568 1
1.0%
ValueCountFrequency (%)
127.0794644 1
 
1.0%
127.079136 10
9.8%
127.07912 1
 
1.0%
127.0788939 1
 
1.0%
127.0788856 1
 
1.0%
127.075711 1
 
1.0%
127.0756277 1
 
1.0%
127.0748967 1
 
1.0%
127.0702234 1
 
1.0%
127.0693424 2
 
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2022-11-30 00:00:00
Maximum2022-11-30 00:00:00
2023-12-13T07:52:09.601733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:09.716523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:52:04.439339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:04.257955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:04.531017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:52:04.347445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:52:09.808871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업종별소재지지번주소영업소전화번호위도경도
영업종별1.0001.0001.0000.6070.637
소재지지번주소1.0001.0000.9981.0001.000
영업소전화번호1.0000.9981.0001.0001.000
위도0.6071.0001.0001.0000.841
경도0.6371.0001.0000.8411.000
2023-12-13T07:52:09.929536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도영업종별
위도1.000-0.5200.287
경도-0.5201.0000.307
영업종별0.2870.3071.000

Missing values

2023-12-13T07:52:04.677961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:52:04.893606image/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

시도명시군명영업종별영업소명소재지지번주소소재지도로명주소영업소전화번호위도경도데이터기준일자
0경기도수원시일반종합도매주식회사 주원약품경기도 수원시 장안구 파장동 627-3 멕시칸치킨호프경기도 수원시 장안구 파장천로44번길 82 멕시칸치킨호프 301호 (파장동)031-258-747137.30738127.0000392022-11-30
1경기도수원시일반종합도매(주)에스이인터내셔널경기도 수원시 장안구 영화동 436번지 23호 4층 1호 5호경기도 수원시 장안구 영화로 8 4층 1호 5호 (영화동)031-308-003337.288008127.0105952022-11-30
2경기도수원시일반종합도매(주)유일약품경기도 수원시 장안구 율전동 107번지 3호 2층경기도 수원시 장안구 덕영대로445번길 74 2층 (율전동)031-271-974437.304231126.9721552022-11-30
3경기도수원시일반종합도매우경약품경기도 수원시 장안구 정자동 68번지 7호 2층경기도 수원시 장안구 영화로72번길 7 2층 (정자동)031-241-503737.293257127.0070262022-11-30
4경기도수원시일반종합도매주식회사 새수원약품경기도 수원시 장안구 파장동 627번지 6호 4층 401호경기도 수원시 장안구 경수대로 1022 4층 401호 (파장동 오승빌딩)031-244-226437.307049127.0002432022-11-30
5경기도수원시의료용 고압가스경인선아종합가스경기도 수원시 장안구 파장동 102번지 3호경기도 수원시 장안구 경수대로1220번길 30-26 가동 1층 (파장동)031-292-828237.321373126.9904762022-11-30
6경기도수원시일반종합도매(주)굿프렌즈경기도 수원시 장안구 파장동 605번지 1호 한사랑순복음교회경기도 수원시 장안구 파장천로30번길 80 한사랑순복음교회 3층 (파장동)031-548-117737.306318126.9991992022-11-30
7경기도수원시일반종합도매일조약품경기도 수원시 장안구 조원동 768번지 9호 2층경기도 수원시 장안구 송정로 181 2층 (조원동)070-7567-561537.298805127.0162322022-11-30
8경기도수원시일반종합도매일원메디텍경기도 수원시 장안구 송죽동 446-17 월드넷 투어경기도 수원시 장안구 만석로 212 월드넷 투어 4층 (송죽동)031-263-310737.304916127.0016672022-11-30
9경기도수원시일반종합도매(주)굿메디경기도 수원시 장안구 파장동 595번지 1호 2층좌측 3층좌측경기도 수원시 장안구 경수대로 1041 2층좌측 3층좌측 (파장동)031-427-211337.307356126.9980512022-11-30
시도명시군명영업종별영업소명소재지지번주소소재지도로명주소영업소전화번호위도경도데이터기준일자
92경기도수원시일반종합도매(주)대일양행경기도 수원시 영통구 매탄동 1195경기도 수원시 영통구 매봉로49번길 9 (매탄동 대일빌딩)031-217-887737.272417127.0527222022-11-30
93경기도수원시일반종합도매(주)엘티엠경기도 수원시 영통구 원천동 298-2경기도 수원시 영통구 삼성로313번길 15 3층 (원천동)031-245-040137.26739127.067072022-11-30
94경기도수원시일반종합도매헬스탑(주)경기도 수원시 영통구 이의동 1279경기도 수원시 영통구 대학로 6 301302호 (이의동)031-265-634737.28351127.0560072022-11-30
95경기도수원시일반종합도매오션메디경기도 수원시 영통구 영통동 996-3 대우 월드마크 영통경기도 수원시 영통구 봉영로 1620 311호 (영통동 대우 월드마크 영통)031-203-910437.255051127.0756282022-11-30
96경기도수원시일반종합도매(주)덴티스 수원지점경기도 수원시 영통구 신동 486 디지털엠파이어2경기도 수원시 영통구 신원로 88 디지털엠파이어2 104동 309호 (신동)070-7722-672737.247096127.0505412022-11-30
97경기도수원시원료의약품도매주식회사 넥스트바이오경기도 수원시 영통구 영통동 1021-4 청명타운텔경기도 수원시 영통구 청명로 7 청명타운텔 204호 (영통동)070-8871-683537.248383127.0788862022-11-30
98경기도수원시원료의약품도매주식회사노스이스트팜코리아경기도 수원시 영통구 하동 987경기도 수원시 영통구 광교중앙로 232 406호 (하동)<NA>37.284242127.0693422022-11-30
99경기도수원시일반종합도매주식회사 라플레 수원지점경기도 수원시 영통구 하동 989 원희캐슬 광교경기도 수원시 영통구 광교중앙로248번길 7-2 원희캐슬 광교 409호 (하동)031-214-201837.284242127.0693422022-11-30
100경기도수원시기타(방사성동위원소)(주)대아경기도 수원시 영통구 원천동 38-26 캠퍼스빌경기도 수원시 영통구 월드컵로 185 캠퍼스빌 302 303호 중 영업부호 (원천동)031-248-616137.278604127.045292022-11-30
101경기도수원시일반종합도매주식회사 베텍코리아경기도 수원시 영통구 영통동 1013-16 해광빌딩경기도 수원시 영통구 청명로21번길 15 해광빌딩 408호 (영통동)1833-208537.2498127.079122022-11-30