Overview

Dataset statistics

Number of variables9
Number of observations1966
Missing cells63
Missing cells (%)0.4%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory142.2 KiB
Average record size in memory74.1 B

Variable types

Categorical2
Text5
Numeric2

Dataset

Description경기도 수원시의 상인연합회 및 전통시장연합회 소상공인 사업자등록증 회원 정보로 업소명, 업태, 품명, 소재지주소(도로명, 지번), 위경도값을 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15075617/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
위도 is highly overall correlated with 구분High correlation
경도 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
업태 has 24 (1.2%) missing valuesMissing
소재지도로명주소 has 34 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:57:13.286558
Analysis finished2023-12-12 06:57:15.004859
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
화서시장
182 
역전시장
161 
반딧불이연무시장
 
115
정자시장
 
107
북수원시장
 
107
Other values (31)
1294 

Length

Max length15
Median length12
Mean length6.6943032
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row 천천동먹거리상인회
2nd row 천천동먹거리상인회
3rd row 천천동먹거리상인회
4th row 천천동먹거리상인회
5th row 천천동먹거리상인회

Common Values

ValueCountFrequency (%)
화서시장 182
 
9.3%
역전시장 161
 
8.2%
반딧불이연무시장 115
 
5.8%
정자시장 107
 
5.4%
북수원시장 107
 
5.4%
남문패션1번가 106
 
5.4%
장안문거북시장 81
 
4.1%
지동시장 79
 
4.0%
못골종합시장 74
 
3.8%
남문로데오시장 71
 
3.6%
Other values (26) 883
44.9%

Length

2023-12-12T15:57:15.072082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화서시장 182
 
9.3%
역전시장 161
 
8.2%
반딧불이연무시장 115
 
5.8%
정자시장 107
 
5.4%
북수원시장 107
 
5.4%
남문패션1번가 106
 
5.4%
장안문거북시장 81
 
4.1%
지동시장 79
 
4.0%
못골종합시장 74
 
3.8%
남문로데오시장 71
 
3.6%
Other values (26) 883
44.9%

업소명
Text

Distinct1919
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2023-12-12T15:57:15.451524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length38
Mean length5.430824
Min length1

Characters and Unicode

Total characters10677
Distinct characters728
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1876 ?
Unique (%)95.4%

Sample

1st row송화된장
2nd row불티 직화구이
3rd row잔비어스
4th row헤어by 진
5th row비어퀸
ValueCountFrequency (%)
수원역점 8
 
0.4%
다문화푸드 8
 
0.4%
주식회사 5
 
0.2%
충남상회 4
 
0.2%
사 4
 
0.2%
jdx 3
 
0.1%
정자점 3
 
0.1%
민속떡집 3
 
0.1%
노래방 3
 
0.1%
맷돌수제두부 3
 
0.1%
Other values (2042) 2096
97.9%
2023-12-12T15:57:16.113692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
 
3.1%
이 192
 
1.8%
수 183
 
1.7%
원 158
 
1.5%
사 146
 
1.4%
스 141
 
1.3%
리 137
 
1.3%
점 110
 
1.0%
산 110
 
1.0%
상 107
 
1.0%
Other values (718) 9058
84.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9974
93.4%
Space Separator 335
 
3.1%
Uppercase Letter 99
 
0.9%
Decimal Number 84
 
0.8%
Close Punctuation 68
 
0.6%
Open Punctuation 62
 
0.6%
Lowercase Letter 22
 
0.2%
Dash Punctuation 12
 
0.1%
Other Symbol 9
 
0.1%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 192
 
1.9%
수 183
 
1.8%
원 158
 
1.6%
사 146
 
1.5%
스 141
 
1.4%
리 137
 
1.4%
점 110
 
1.1%
산 110
 
1.1%
상 107
 
1.1%
장 103
 
1.0%
Other values (662) 8587
86.1%
Uppercase Letter
ValueCountFrequency (%)
C 18
18.2%
S 12
12.1%
B 9
9.1%
D 8
 
8.1%
G 7
 
7.1%
J 6
 
6.1%
Y 6
 
6.1%
P 5
 
5.1%
K 4
 
4.0%
A 4
 
4.0%
Other values (11) 20
20.2%
Lowercase Letter
ValueCountFrequency (%)
y 3
13.6%
a 2
9.1%
v 2
9.1%
n 2
9.1%
b 2
9.1%
c 2
9.1%
o 2
9.1%
m 1
 
4.5%
p 1
 
4.5%
i 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
0 14
16.7%
1 14
16.7%
2 13
15.5%
4 10
11.9%
5 10
11.9%
8 9
10.7%
3 5
 
6.0%
6 4
 
4.8%
7 3
 
3.6%
9 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
& 4
44.4%
. 2
22.2%
' 1
 
11.1%
# 1
 
11.1%
! 1
 
11.1%
Space Separator
ValueCountFrequency (%)
335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9982
93.5%
Common 573
 
5.4%
Latin 121
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 192
 
1.9%
수 183
 
1.8%
원 158
 
1.6%
사 146
 
1.5%
스 141
 
1.4%
리 137
 
1.4%
점 110
 
1.1%
산 110
 
1.1%
상 107
 
1.1%
장 103
 
1.0%
Other values (662) 8595
86.1%
Latin
ValueCountFrequency (%)
C 18
14.9%
S 12
 
9.9%
B 9
 
7.4%
D 8
 
6.6%
G 7
 
5.8%
J 6
 
5.0%
Y 6
 
5.0%
P 5
 
4.1%
K 4
 
3.3%
A 4
 
3.3%
Other values (25) 42
34.7%
Common
ValueCountFrequency (%)
335
58.5%
) 68
 
11.9%
( 62
 
10.8%
0 14
 
2.4%
1 14
 
2.4%
2 13
 
2.3%
- 12
 
2.1%
4 10
 
1.7%
5 10
 
1.7%
8 9
 
1.6%
Other values (10) 26
 
4.5%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9973
93.4%
ASCII 694
 
6.5%
None 9
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
48.3%
) 68
 
9.8%
( 62
 
8.9%
C 18
 
2.6%
0 14
 
2.0%
1 14
 
2.0%
2 13
 
1.9%
S 12
 
1.7%
- 12
 
1.7%
4 10
 
1.4%
Other values (45) 136
19.6%
Hangul
ValueCountFrequency (%)
이 192
 
1.9%
수 183
 
1.8%
원 158
 
1.6%
사 146
 
1.5%
스 141
 
1.4%
리 137
 
1.4%
점 110
 
1.1%
산 110
 
1.1%
상 107
 
1.1%
장 103
 
1.0%
Other values (661) 8586
86.1%
None
ValueCountFrequency (%)
㈜ 9
100.0%
CJK
ValueCountFrequency (%)
大 1
100.0%

업태
Text

MISSING 

Distinct218
Distinct (%)11.2%
Missing24
Missing (%)1.2%
Memory size15.5 KiB
2023-12-12T15:57:16.337773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length3.2415036
Min length1

Characters and Unicode

Total characters6295
Distinct characters164
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)7.5%

Sample

1st row제조
2nd row음식점
3rd row음식점
4th row미용실
5th row일반
ValueCountFrequency (%)
소매업 314
16.2%
소매 261
13.4%
음식 169
 
8.7%
음식점 149
 
7.7%
서비스 146
 
7.5%
음식점업 136
 
7.0%
도소매 83
 
4.3%
도소매업 43
 
2.2%
없음 41
 
2.1%
서비스업 35
 
1.8%
Other values (208) 565
29.1%
2023-12-12T15:57:16.761708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
매 905
14.4%
소 873
13.9%
업 730
11.6%
음 641
10.2%
식 603
9.6%
점 317
 
5.0%
도 235
 
3.7%
비 232
 
3.7%
스 225
 
3.6%
서 224
 
3.6%
Other values (154) 1310
20.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6069
96.4%
Other Punctuation 194
 
3.1%
Connector Punctuation 15
 
0.2%
Uppercase Letter 13
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 905
14.9%
소 873
14.4%
업 730
12.0%
음 641
10.6%
식 603
9.9%
점 317
 
5.2%
도 235
 
3.9%
비 232
 
3.8%
스 225
 
3.7%
서 224
 
3.7%
Other values (142) 1084
17.9%
Uppercase Letter
ValueCountFrequency (%)
N 3
23.1%
H 2
15.4%
U 2
15.4%
G 2
15.4%
A 1
 
7.7%
S 1
 
7.7%
Y 1
 
7.7%
I 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 194
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6069
96.4%
Common 213
 
3.4%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 905
14.9%
소 873
14.4%
업 730
12.0%
음 641
10.6%
식 603
9.9%
점 317
 
5.2%
도 235
 
3.9%
비 232
 
3.8%
스 225
 
3.7%
서 224
 
3.7%
Other values (142) 1084
17.9%
Latin
ValueCountFrequency (%)
N 3
23.1%
H 2
15.4%
U 2
15.4%
G 2
15.4%
A 1
 
7.7%
S 1
 
7.7%
Y 1
 
7.7%
I 1
 
7.7%
Common
ValueCountFrequency (%)
/ 194
91.1%
_ 15
 
7.0%
( 2
 
0.9%
) 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6069
96.4%
ASCII 226
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
매 905
14.9%
소 873
14.4%
업 730
12.0%
음 641
10.6%
식 603
9.9%
점 317
 
5.2%
도 235
 
3.9%
비 232
 
3.8%
스 225
 
3.7%
서 224
 
3.7%
Other values (142) 1084
17.9%
ASCII
ValueCountFrequency (%)
/ 194
85.8%
_ 15
 
6.6%
N 3
 
1.3%
( 2
 
0.9%
) 2
 
0.9%
H 2
 
0.9%
U 2
 
0.9%
G 2
 
0.9%
A 1
 
0.4%
S 1
 
0.4%
Other values (2) 2
 
0.9%

품명
Text

Distinct562
Distinct (%)28.7%
Missing5
Missing (%)0.3%
Memory size15.5 KiB
2023-12-12T15:57:17.018641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length3.873024
Min length1

Characters and Unicode

Total characters7595
Distinct characters350
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)20.8%

Sample

1st row제조업
2nd row음식점업
3rd row음식점업
4th row미용실
5th row일반
ValueCountFrequency (%)
음식점업 213
 
10.9%
한식 100
 
5.1%
의류 94
 
4.8%
서비스업 78
 
4.0%
소매업 71
 
3.6%
도매/소매업 62
 
3.2%
부동산중개업 44
 
2.2%
없음 42
 
2.1%
야채 31
 
1.6%
일반음식점 28
 
1.4%
Other values (551) 1198
61.1%
2023-12-12T15:57:17.508445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 580
 
7.6%
식 540
 
7.1%
음 411
 
5.4%
/ 354
 
4.7%
점 303
 
4.0%
매 257
 
3.4%
의 211
 
2.8%
류 198
 
2.6%
소 178
 
2.3%
한 128
 
1.7%
Other values (340) 4435
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7199
94.8%
Other Punctuation 354
 
4.7%
Connector Punctuation 13
 
0.2%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Uppercase Letter 9
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 580
 
8.1%
식 540
 
7.5%
음 411
 
5.7%
점 303
 
4.2%
매 257
 
3.6%
의 211
 
2.9%
류 198
 
2.8%
소 178
 
2.5%
한 128
 
1.8%
스 120
 
1.7%
Other values (327) 4273
59.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
D 1
 
11.1%
E 1
 
11.1%
L 1
 
11.1%
T 1
 
11.1%
V 1
 
11.1%
P 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 354
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7199
94.8%
Common 385
 
5.1%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 580
 
8.1%
식 540
 
7.5%
음 411
 
5.7%
점 303
 
4.2%
매 257
 
3.6%
의 211
 
2.9%
류 198
 
2.8%
소 178
 
2.5%
한 128
 
1.8%
스 120
 
1.7%
Other values (327) 4273
59.4%
Latin
ValueCountFrequency (%)
C 3
27.3%
c 1
 
9.1%
D 1
 
9.1%
E 1
 
9.1%
L 1
 
9.1%
p 1
 
9.1%
T 1
 
9.1%
V 1
 
9.1%
P 1
 
9.1%
Common
ValueCountFrequency (%)
/ 354
91.9%
_ 13
 
3.4%
( 9
 
2.3%
) 9
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7199
94.8%
ASCII 396
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 580
 
8.1%
식 540
 
7.5%
음 411
 
5.7%
점 303
 
4.2%
매 257
 
3.6%
의 211
 
2.9%
류 198
 
2.8%
소 178
 
2.5%
한 128
 
1.8%
스 120
 
1.7%
Other values (327) 4273
59.4%
ASCII
ValueCountFrequency (%)
/ 354
89.4%
_ 13
 
3.3%
( 9
 
2.3%
) 9
 
2.3%
C 3
 
0.8%
c 1
 
0.3%
D 1
 
0.3%
E 1
 
0.3%
L 1
 
0.3%
p 1
 
0.3%
Other values (3) 3
 
0.8%

소재지도로명주소
Text

MISSING 

Distinct675
Distinct (%)34.9%
Missing34
Missing (%)1.7%
Memory size15.5 KiB
2023-12-12T15:57:17.803838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length28.256729
Min length15

Characters and Unicode

Total characters54592
Distinct characters118
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

Unique385 ?
Unique (%)19.9%

Sample

1st row경기도 수원시 장안구 덕영대로511번길 37-7 (천천동)
2nd row경기도 수원시 장안구 덕영대로511번길 29-17 (천천동)
3rd row경기도 수원시 장안구 덕영대로511번길 29-18 (천천동)
4th row경기도 수원시 장안구 덕영대로511번길 29-2 (천천동)
5th row경기도 수원시 장안구 덕영대로511번길 29-21 (천천동)
ValueCountFrequency (%)
수원시 1932
 
16.7%
경기도 1856
 
16.0%
팔달구 1037
 
9.0%
장안구 501
 
4.3%
권선구 218
 
1.9%
매산로1가 203
 
1.8%
지동 201
 
1.7%
권선동 184
 
1.6%
영통구 176
 
1.5%
매산로 174
 
1.5%
Other values (487) 5090
44.0%
2023-12-12T15:57:18.237636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9649
 
17.7%
수 2434
 
4.5%
원 2376
 
4.4%
로 2320
 
4.2%
시 1985
 
3.6%
구 1964
 
3.6%
경 1911
 
3.5%
도 1856
 
3.4%
기 1856
 
3.4%
) 1823
 
3.3%
Other values (108) 26418
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33033
60.5%
Space Separator 9649
 
17.7%
Decimal Number 7635
 
14.0%
Close Punctuation 1823
 
3.3%
Open Punctuation 1823
 
3.3%
Dash Punctuation 462
 
0.8%
Other Punctuation 166
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 2434
 
7.4%
원 2376
 
7.2%
로 2320
 
7.0%
시 1985
 
6.0%
구 1964
 
5.9%
경 1911
 
5.8%
도 1856
 
5.6%
기 1856
 
5.6%
동 1621
 
4.9%
달 1422
 
4.3%
Other values (92) 13288
40.2%
Decimal Number
ValueCountFrequency (%)
1 1577
20.7%
2 1219
16.0%
7 746
9.8%
3 715
9.4%
0 644
8.4%
4 603
 
7.9%
8 595
 
7.8%
6 591
 
7.7%
5 543
 
7.1%
9 402
 
5.3%
Space Separator
ValueCountFrequency (%)
9649
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1823
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1823
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 462
100.0%
Other Punctuation
ValueCountFrequency (%)
, 166
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33033
60.5%
Common 21558
39.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 2434
 
7.4%
원 2376
 
7.2%
로 2320
 
7.0%
시 1985
 
6.0%
구 1964
 
5.9%
경 1911
 
5.8%
도 1856
 
5.6%
기 1856
 
5.6%
동 1621
 
4.9%
달 1422
 
4.3%
Other values (92) 13288
40.2%
Common
ValueCountFrequency (%)
9649
44.8%
) 1823
 
8.5%
( 1823
 
8.5%
1 1577
 
7.3%
2 1219
 
5.7%
7 746
 
3.5%
3 715
 
3.3%
0 644
 
3.0%
4 603
 
2.8%
8 595
 
2.8%
Other values (5) 2164
 
10.0%
Latin
ValueCountFrequency (%)
I 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33033
60.5%
ASCII 21559
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9649
44.8%
) 1823
 
8.5%
( 1823
 
8.5%
1 1577
 
7.3%
2 1219
 
5.7%
7 746
 
3.5%
3 715
 
3.3%
0 644
 
3.0%
4 603
 
2.8%
8 595
 
2.8%
Other values (6) 2165
 
10.0%
Hangul
ValueCountFrequency (%)
수 2434
 
7.4%
원 2376
 
7.2%
로 2320
 
7.0%
시 1985
 
6.0%
구 1964
 
5.9%
경 1911
 
5.8%
도 1856
 
5.6%
기 1856
 
5.6%
동 1621
 
4.9%
달 1422
 
4.3%
Other values (92) 13288
40.2%

소재지지번주소
Text

Distinct1473
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2023-12-12T15:57:18.520895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length22.209054
Min length12

Characters and Unicode

Total characters43663
Distinct characters126
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1306 ?
Unique (%)66.4%

Sample

1st row수원시 장안구 덕영대로 511번길 37-7
2nd row수원시 장안구 천천동 506-3
3rd row수원시 장안구 천천동 507-14
4th row수원시 장안구 천천동 507-9
5th row수원시 장안구 천천동 506-2
ValueCountFrequency (%)
수원시 1966
22.2%
팔달구 1058
 
11.9%
장안구 506
 
5.7%
267
 
3.0%
권선구 222
 
2.5%
영통구 176
 
2.0%
1층 125
 
1.4%
동말로 75
 
0.8%
팔달문로4번길 65
 
0.7%
185 63
 
0.7%
Other values (1455) 4336
48.9%
2023-12-12T15:57:19.013695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7294
 
16.7%
수 2299
 
5.3%
1 2259
 
5.2%
원 2235
 
5.1%
구 2004
 
4.6%
시 1967
 
4.5%
로 1906
 
4.4%
2 1484
 
3.4%
달 1387
 
3.2%
팔 1353
 
3.1%
Other values (116) 19475
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23563
54.0%
Decimal Number 9756
22.3%
Space Separator 7294
 
16.7%
Dash Punctuation 1187
 
2.7%
Close Punctuation 829
 
1.9%
Open Punctuation 828
 
1.9%
Lowercase Letter 79
 
0.2%
Uppercase Letter 75
 
0.2%
Other Punctuation 48
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 2299
 
9.8%
원 2235
 
9.5%
구 2004
 
8.5%
시 1967
 
8.3%
로 1906
 
8.1%
달 1387
 
5.9%
팔 1353
 
5.7%
동 1005
 
4.3%
번 933
 
4.0%
길 928
 
3.9%
Other values (95) 7546
32.0%
Decimal Number
ValueCountFrequency (%)
1 2259
23.2%
2 1484
15.2%
0 923
9.5%
7 880
 
9.0%
3 880
 
9.0%
4 816
 
8.4%
5 710
 
7.3%
6 707
 
7.2%
8 600
 
6.2%
9 497
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 73
97.3%
A 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 46
95.8%
/ 2
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
b 40
50.6%
a 39
49.4%
Space Separator
ValueCountFrequency (%)
7294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 829
100.0%
Open Punctuation
ValueCountFrequency (%)
( 828
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23563
54.0%
Common 19946
45.7%
Latin 154
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 2299
 
9.8%
원 2235
 
9.5%
구 2004
 
8.5%
시 1967
 
8.3%
로 1906
 
8.1%
달 1387
 
5.9%
팔 1353
 
5.7%
동 1005
 
4.3%
번 933
 
4.0%
길 928
 
3.9%
Other values (95) 7546
32.0%
Common
ValueCountFrequency (%)
7294
36.6%
1 2259
 
11.3%
2 1484
 
7.4%
- 1187
 
6.0%
0 923
 
4.6%
7 880
 
4.4%
3 880
 
4.4%
) 829
 
4.2%
( 828
 
4.2%
4 816
 
4.1%
Other values (7) 2566
 
12.9%
Latin
ValueCountFrequency (%)
B 73
47.4%
b 40
26.0%
a 39
25.3%
A 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23563
54.0%
ASCII 20100
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7294
36.3%
1 2259
 
11.2%
2 1484
 
7.4%
- 1187
 
5.9%
0 923
 
4.6%
7 880
 
4.4%
3 880
 
4.4%
) 829
 
4.1%
( 828
 
4.1%
4 816
 
4.1%
Other values (11) 2720
 
13.5%
Hangul
ValueCountFrequency (%)
수 2299
 
9.8%
원 2235
 
9.5%
구 2004
 
8.5%
시 1967
 
8.3%
로 1906
 
8.1%
달 1387
 
5.9%
팔 1353
 
5.7%
동 1005
 
4.3%
번 933
 
4.0%
길 928
 
3.9%
Other values (95) 7546
32.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct710
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.278646
Minimum37.24588
Maximum37.309241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2023-12-12T15:57:19.150783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.24588
5-th percentile37.252482
Q137.268588
median37.276983
Q337.290553
95-th percentile37.306843
Maximum37.309241
Range0.0633601
Interquartile range (IQR)0.021965

Descriptive statistics

Standard deviation0.014196621
Coefficient of variation (CV)0.00038082449
Kurtosis-0.34887357
Mean37.278646
Median Absolute Deviation (MAD)0.01001855
Skewness0.10730883
Sum73289.817
Variance0.00020154406
MonotonicityNot monotonic
2023-12-12T15:57:19.333235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2662193 153
 
7.8%
37.2785403 82
 
4.2%
37.25594 63
 
3.2%
37.283123 56
 
2.8%
37.2498703 48
 
2.4%
37.2905527 42
 
2.1%
37.2766458 40
 
2.0%
37.2774738 40
 
2.0%
37.2780924 30
 
1.5%
37.2776419 27
 
1.4%
Other values (700) 1385
70.4%
ValueCountFrequency (%)
37.2458804 2
 
0.1%
37.2465593 1
 
0.1%
37.2467479 1
 
0.1%
37.2498703 48
2.4%
37.2509909 1
 
0.1%
37.2516948 6
 
0.3%
37.2517448 8
 
0.4%
37.2517711 1
 
0.1%
37.2517794 20
1.0%
37.2519345 2
 
0.1%
ValueCountFrequency (%)
37.3092405 2
0.1%
37.3091065 1
 
0.1%
37.3089432 1
 
0.1%
37.3089412 4
0.2%
37.3088771 1
 
0.1%
37.30883 1
 
0.1%
37.3087918 2
0.1%
37.3087544 1
 
0.1%
37.3087388 3
0.2%
37.3087356 1
 
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct712
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01506
Minimum126.94082
Maximum127.07748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2023-12-12T15:57:19.470758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.94082
5-th percentile126.98977
Q1127.00209
median127.01558
Q3127.02081
95-th percentile127.06592
Maximum127.07748
Range0.1366571
Interquartile range (IQR)0.0187242

Descriptive statistics

Standard deviation0.020873228
Coefficient of variation (CV)0.00016433664
Kurtosis2.4686416
Mean127.01506
Median Absolute Deviation (MAD)0.01248475
Skewness0.6511581
Sum249711.6
Variance0.00043569163
MonotonicityNot monotonic
2023-12-12T15:57:19.611315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0023471 153
 
7.8%
127.0020853 82
 
4.2%
127.0247579 63
 
3.2%
127.0659168 56
 
2.8%
127.033568 48
 
2.4%
127.0712908 42
 
2.1%
127.0196021 40
 
2.0%
127.0179846 40
 
2.0%
127.0020754 30
 
1.5%
127.0192504 27
 
1.4%
Other values (702) 1385
70.4%
ValueCountFrequency (%)
126.9408213 14
0.7%
126.9516868 1
 
0.1%
126.9524957 1
 
0.1%
126.9525603 1
 
0.1%
126.954341 1
 
0.1%
126.9554076 1
 
0.1%
126.9559735 1
 
0.1%
126.9566782 1
 
0.1%
126.9623701 1
 
0.1%
126.9722014 2
 
0.1%
ValueCountFrequency (%)
127.0774784 2
 
0.1%
127.076426 20
 
1.0%
127.0762114 8
 
0.4%
127.0762019 6
 
0.3%
127.0712908 42
2.1%
127.0659168 56
2.8%
127.0624983 1
 
0.1%
127.0479415 1
 
0.1%
127.0433145 1
 
0.1%
127.0429329 1
 
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2020-12-11
1966 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-11
2nd row2020-12-11
3rd row2020-12-11
4th row2020-12-11
5th row2020-12-11

Common Values

ValueCountFrequency (%)
2020-12-11 1966
100.0%

Length

2023-12-12T15:57:19.779118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:19.871199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-11 1966
100.0%

Interactions

2023-12-12T15:57:14.478962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:14.275383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:14.579654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:14.378424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:57:19.935971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위도경도
구분1.0000.9920.983
위도0.9921.0000.913
경도0.9830.9131.000
2023-12-12T15:57:20.019509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분
위도1.000-0.3030.927
경도-0.3031.0000.874
구분0.9270.8741.000

Missing values

2023-12-12T15:57:14.713364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:57:14.852249image/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.
2023-12-12T15:57:14.950656image/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

구분업소명업태품명소재지도로명주소소재지지번주소위도경도데이터기준일자
0천천동먹거리상인회송화된장제조제조업경기도 수원시 장안구 덕영대로511번길 37-7 (천천동)수원시 장안구 덕영대로 511번길 37-737.299422126.9802582020-12-11
1천천동먹거리상인회불티 직화구이음식점음식점업경기도 수원시 장안구 덕영대로511번길 29-17 (천천동)수원시 장안구 천천동 506-337.299714126.9797042020-12-11
2천천동먹거리상인회잔비어스음식점음식점업경기도 수원시 장안구 덕영대로511번길 29-18 (천천동)수원시 장안구 천천동 507-1437.299766126.9799342020-12-11
3천천동먹거리상인회헤어by 진미용실미용실경기도 수원시 장안구 덕영대로511번길 29-2 (천천동)수원시 장안구 천천동 507-937.299126126.9802532020-12-11
4천천동먹거리상인회비어퀸일반일반경기도 수원시 장안구 덕영대로511번길 29-21 (천천동)수원시 장안구 천천동 506-237.299849126.9796392020-12-11
5천천동먹거리상인회가장 맛있는 뒷고기음식점음식점업경기도 수원시 장안구 덕영대로511번길 29-16 (천천동)수원시 장안구 덕영대로 511번길 29-1637.299636126.9799982020-12-11
6천천동먹거리상인회전이랑 술이랑음식점음식점업경기도 수원시 장안구 덕영대로511번길 29-7 (천천동)수원시 장안구 덕영대로 511번길 29-737.299329126.9798962020-12-11
7천천동먹거리상인회소문난순대국음식점음식점업경기도 수원시 장안구 덕영대로511번길 29-6 (천천동)수원시 장안구 천천동 덕영대로 511번길 29-637.299258126.9801862020-12-11
8천천동먹거리상인회GS25장안천천점편의점편의점경기도 수원시 장안구 덕영대로511번길 27 (천천동)수원시 장안구 덕영대로 511번길 27- 1층37.299072126.9800172020-12-11
9천천동먹거리상인회가메참치음식점음식점업경기도 수원시 장안구 덕영대로511번길 29-8 (천천동)수원시 장안구 천천동 507-1137.299377126.9801272020-12-11
구분업소명업태품명소재지도로명주소소재지지번주소위도경도데이터기준일자
1956화서시장유리야채소매야채경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1957화서시장효숙야채소매야채경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1958화서시장용희네소매건어물경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1959화서시장강황꽈배기(정우상회)소매도너츠경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1960화서시장할머니김치소매야채경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1961화서시장자매상회소매야채경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1962화서시장악세서리(유한상회)기타악세사리경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1963화서시장과자나라(경화상회)기타과자류경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1964화서시장재영야채소매야채경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11
1965화서시장길수식품소매식료품경기도 수원시 팔달구 동말로 72번길수원시 팔달구 동말로 72번길37.27854127.0020852020-12-11

Duplicate rows

Most frequently occurring

구분업소명업태품명소재지도로명주소소재지지번주소위도경도데이터기준일자# duplicates
0장안문거북시장충남상회소매업슈퍼경기도 수원시 장안구 정조로934번길 26 (영화동)수원시 장안구 정조로 934번길 26 - 1층(영화동)37.291433127.014182020-12-112