Overview

Dataset statistics

Number of variables8
Number of observations1193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.0 KiB
Average record size in memory66.1 B

Variable types

Numeric2
Categorical2
Text3
DateTime1

Dataset

Description이 데이터는 금산군에서 발행하는 금산사랑상품권의 지류 가맹점에 대하여 연번, 행정동, 가맹점명, 업태분류, 우편번호, 기본주소, 상세주소,데이터기준일자 정보를 제공합니다.
Author충청남도 금산군
URLhttps://www.data.go.kr/data/15088822/fileData.do

Alerts

데이터기준일 has constant value ""Constant
행정동 is highly imbalanced (67.4%)Imbalance
우편번호 is highly skewed (γ1 = -34.52133345)Skewed
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:50:02.704733
Analysis finished2023-12-12 02:50:06.147307
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597
Minimum1
Maximum1193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-12T11:50:06.357502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.6
Q1299
median597
Q3895
95-th percentile1133.4
Maximum1193
Range1192
Interquartile range (IQR)596

Descriptive statistics

Standard deviation344.53374
Coefficient of variation (CV)0.57710845
Kurtosis-1.2
Mean597
Median Absolute Deviation (MAD)298
Skewness0
Sum712221
Variance118703.5
MonotonicityStrictly increasing
2023-12-12T11:50:06.780916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
802 1
 
0.1%
800 1
 
0.1%
799 1
 
0.1%
798 1
 
0.1%
797 1
 
0.1%
796 1
 
0.1%
795 1
 
0.1%
794 1
 
0.1%
793 1
 
0.1%
Other values (1183) 1183
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1193 1
0.1%
1192 1
0.1%
1191 1
0.1%
1190 1
0.1%
1189 1
0.1%
1188 1
0.1%
1187 1
0.1%
1186 1
0.1%
1185 1
0.1%
1184 1
0.1%

행정동
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
금산읍
983 
추부면
112 
복수면
 
23
진산면
 
16
금성면
 
14
Other values (5)
 
45

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금산읍 983
82.4%
추부면 112
 
9.4%
복수면 23
 
1.9%
진산면 16
 
1.3%
금성면 14
 
1.2%
제원면 14
 
1.2%
부리면 11
 
0.9%
군북면 8
 
0.7%
남일면 7
 
0.6%
남이면 5
 
0.4%

Length

2023-12-12T11:50:07.146092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:50:07.478839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금산읍 983
82.4%
추부면 112
 
9.4%
복수면 23
 
1.9%
진산면 16
 
1.3%
금성면 14
 
1.2%
제원면 14
 
1.2%
부리면 11
 
0.9%
군북면 8
 
0.7%
남일면 7
 
0.6%
남이면 5
 
0.4%
Distinct1172
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-12T11:50:07.927648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length6.4409053
Min length2

Characters and Unicode

Total characters7684
Distinct characters617
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1161 ?
Unique (%)97.3%

Sample

1st row도야족발금산점
2nd row야미마라탕금산점
3rd row국수1번지
4th row작은김밥집
5th row주식회사 주운
ValueCountFrequency (%)
금산점 28
 
1.9%
금산수삼센타 27
 
1.8%
금산수삼센터 22
 
1.5%
금산수삼시장 15
 
1.0%
소매 9
 
0.6%
주식회사 8
 
0.5%
금산 8
 
0.5%
금산농협 7
 
0.5%
수삼센터 7
 
0.5%
금산인삼 6
 
0.4%
Other values (1287) 1332
90.7%
2023-12-12T11:50:08.704347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
3.7%
287
 
3.7%
265
 
3.4%
227
 
3.0%
143
 
1.9%
129
 
1.7%
122
 
1.6%
119
 
1.5%
113
 
1.5%
113
 
1.5%
Other values (607) 5879
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6946
90.4%
Space Separator 287
 
3.7%
Decimal Number 242
 
3.1%
Uppercase Letter 69
 
0.9%
Open Punctuation 48
 
0.6%
Close Punctuation 48
 
0.6%
Lowercase Letter 25
 
0.3%
Other Punctuation 11
 
0.1%
Other Symbol 6
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
287
 
4.1%
265
 
3.8%
227
 
3.3%
143
 
2.1%
129
 
1.9%
122
 
1.8%
119
 
1.7%
113
 
1.6%
113
 
1.6%
96
 
1.4%
Other values (555) 5332
76.8%
Uppercase Letter
ValueCountFrequency (%)
G 8
 
11.6%
S 6
 
8.7%
O 6
 
8.7%
M 5
 
7.2%
A 5
 
7.2%
T 5
 
7.2%
N 4
 
5.8%
C 4
 
5.8%
K 3
 
4.3%
P 3
 
4.3%
Other values (12) 20
29.0%
Lowercase Letter
ValueCountFrequency (%)
c 5
20.0%
e 4
16.0%
o 4
16.0%
p 2
 
8.0%
h 2
 
8.0%
y 1
 
4.0%
r 1
 
4.0%
f 1
 
4.0%
a 1
 
4.0%
t 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
1 49
20.2%
2 35
14.5%
0 24
9.9%
5 24
9.9%
3 24
9.9%
7 21
8.7%
8 18
 
7.4%
6 16
 
6.6%
4 16
 
6.6%
9 15
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
& 3
 
27.3%
Space Separator
ValueCountFrequency (%)
287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6951
90.5%
Common 638
 
8.3%
Latin 94
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
287
 
4.1%
265
 
3.8%
227
 
3.3%
143
 
2.1%
129
 
1.9%
122
 
1.8%
119
 
1.7%
113
 
1.6%
113
 
1.6%
96
 
1.4%
Other values (555) 5337
76.8%
Latin
ValueCountFrequency (%)
G 8
 
8.5%
S 6
 
6.4%
O 6
 
6.4%
c 5
 
5.3%
M 5
 
5.3%
A 5
 
5.3%
T 5
 
5.3%
e 4
 
4.3%
N 4
 
4.3%
C 4
 
4.3%
Other values (25) 42
44.7%
Common
ValueCountFrequency (%)
287
45.0%
1 49
 
7.7%
( 48
 
7.5%
) 48
 
7.5%
2 35
 
5.5%
0 24
 
3.8%
5 24
 
3.8%
3 24
 
3.8%
7 21
 
3.3%
8 18
 
2.8%
Other values (6) 60
 
9.4%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6945
90.4%
ASCII 732
 
9.5%
None 6
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
287
 
4.1%
265
 
3.8%
227
 
3.3%
143
 
2.1%
129
 
1.9%
122
 
1.8%
119
 
1.7%
113
 
1.6%
113
 
1.6%
96
 
1.4%
Other values (554) 5331
76.8%
ASCII
ValueCountFrequency (%)
287
39.2%
1 49
 
6.7%
( 48
 
6.6%
) 48
 
6.6%
2 35
 
4.8%
0 24
 
3.3%
5 24
 
3.3%
3 24
 
3.3%
7 21
 
2.9%
8 18
 
2.5%
Other values (41) 154
21.0%
None
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

업태분류
Categorical

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
소매업
570 
음식점업
388 
개인서비스업
124 
보건업
 
42
교육서비스업
 
29
Other values (4)
 
40

Length

Max length12
Median length3
Mean length3.7401509
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row음식점업
2nd row음식점업
3rd row음식점업
4th row음식점업
5th row소매업

Common Values

ValueCountFrequency (%)
소매업 570
47.8%
음식점업 388
32.5%
개인서비스업 124
 
10.4%
보건업 42
 
3.5%
교육서비스업 29
 
2.4%
제조업 25
 
2.1%
기타 9
 
0.8%
스포츠및여가관련서비스업 5
 
0.4%
숙박업 1
 
0.1%

Length

2023-12-12T11:50:09.052827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:50:09.346182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소매업 570
47.8%
음식점업 388
32.5%
개인서비스업 124
 
10.4%
보건업 42
 
3.5%
교육서비스업 29
 
2.4%
제조업 25
 
2.1%
기타 9
 
0.8%
스포츠및여가관련서비스업 5
 
0.4%
숙박업 1
 
0.1%

우편번호
Real number (ℝ)

SKEWED 

Distinct57
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32713.731
Minimum10000
Maximum32933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-12T11:50:09.682313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile32711
Q132729
median32736
Q332739
95-th percentile32747
Maximum32933
Range22933
Interquartile range (IQR)10

Descriptive statistics

Standard deviation658.27868
Coefficient of variation (CV)0.020122397
Kurtosis1192.1483
Mean32713.731
Median Absolute Deviation (MAD)3
Skewness-34.521333
Sum39027481
Variance433330.82
MonotonicityNot monotonic
2023-12-12T11:50:10.040691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32739 245
20.5%
32735 121
 
10.1%
32738 102
 
8.5%
32722 72
 
6.0%
32740 70
 
5.9%
32714 69
 
5.8%
32733 68
 
5.7%
32747 50
 
4.2%
32732 48
 
4.0%
32737 32
 
2.7%
Other values (47) 316
26.5%
ValueCountFrequency (%)
10000 1
 
0.1%
32700 5
 
0.4%
32701 15
1.3%
32702 5
 
0.4%
32703 3
 
0.3%
32704 9
0.8%
32707 1
 
0.1%
32708 7
0.6%
32709 3
 
0.3%
32710 9
0.8%
ValueCountFrequency (%)
32933 1
 
0.1%
32761 1
 
0.1%
32760 1
 
0.1%
32758 1
 
0.1%
32757 3
0.3%
32756 4
0.3%
32755 2
 
0.2%
32754 2
 
0.2%
32753 5
0.4%
32752 2
 
0.2%
Distinct866
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-12T11:50:10.750257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length14.173512
Min length8

Characters and Unicode

Total characters16909
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

Unique758 ?
Unique (%)63.5%

Sample

1st row충청남도 금산군 금산읍 비단로
2nd row충청남도 금산군 금산읍 오리정로
3rd row충청남도 금산군 금산읍 비단로
4th row충청남도 금산군 금산읍 후곤천길
5th row충청남도 금산군 금산읍 인삼로
ValueCountFrequency (%)
금산읍 981
23.0%
금산군 298
 
7.0%
충청남도 216
 
5.1%
인삼약초로 169
 
4.0%
비단로 139
 
3.3%
충남 137
 
3.2%
추부면 112
 
2.6%
금산로 97
 
2.3%
인삼로 96
 
2.2%
24 73
 
1.7%
Other values (663) 1955
45.8%
2023-12-12T11:50:11.314351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3131
18.5%
1489
 
8.8%
1452
 
8.6%
983
 
5.8%
887
 
5.2%
1 663
 
3.9%
2 448
 
2.6%
4 425
 
2.5%
371
 
2.2%
359
 
2.1%
Other values (170) 6701
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10372
61.3%
Space Separator 3131
 
18.5%
Decimal Number 3024
 
17.9%
Other Punctuation 154
 
0.9%
Dash Punctuation 134
 
0.8%
Open Punctuation 45
 
0.3%
Close Punctuation 45
 
0.3%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1489
14.4%
1452
14.0%
983
 
9.5%
887
 
8.6%
371
 
3.6%
359
 
3.5%
353
 
3.4%
334
 
3.2%
323
 
3.1%
290
 
2.8%
Other values (148) 3531
34.0%
Decimal Number
ValueCountFrequency (%)
1 663
21.9%
2 448
14.8%
4 425
14.1%
3 349
11.5%
5 262
 
8.7%
7 200
 
6.6%
8 192
 
6.3%
6 186
 
6.2%
0 171
 
5.7%
9 128
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 153
99.4%
. 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 41
91.1%
[ 4
 
8.9%
Close Punctuation
ValueCountFrequency (%)
) 41
91.1%
] 4
 
8.9%
Space Separator
ValueCountFrequency (%)
3131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10372
61.3%
Common 6534
38.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1489
14.4%
1452
14.0%
983
 
9.5%
887
 
8.6%
371
 
3.6%
359
 
3.5%
353
 
3.4%
334
 
3.2%
323
 
3.1%
290
 
2.8%
Other values (148) 3531
34.0%
Common
ValueCountFrequency (%)
3131
47.9%
1 663
 
10.1%
2 448
 
6.9%
4 425
 
6.5%
3 349
 
5.3%
5 262
 
4.0%
7 200
 
3.1%
8 192
 
2.9%
6 186
 
2.8%
0 171
 
2.6%
Other values (9) 507
 
7.8%
Latin
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10372
61.3%
ASCII 6537
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3131
47.9%
1 663
 
10.1%
2 448
 
6.9%
4 425
 
6.5%
3 349
 
5.3%
5 262
 
4.0%
7 200
 
3.1%
8 192
 
2.9%
6 186
 
2.8%
0 171
 
2.6%
Other values (12) 510
 
7.8%
Hangul
ValueCountFrequency (%)
1489
14.4%
1452
14.0%
983
 
9.5%
887
 
8.6%
371
 
3.6%
359
 
3.5%
353
 
3.4%
334
 
3.2%
323
 
3.1%
290
 
2.8%
Other values (148) 3531
34.0%
Distinct1139
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-12T11:50:11.682213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length6.0293378
Min length1

Characters and Unicode

Total characters7193
Distinct characters586
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1104 ?
Unique (%)92.5%

Sample

1st row301-2
2nd row7
3rd row309
4th row55
5th row198
ValueCountFrequency (%)
금산수삼센타 25
 
1.7%
1층 22
 
1.5%
금산수삼센터 21
 
1.4%
금산점 19
 
1.3%
금산수삼시장 15
 
1.0%
소매 9
 
0.6%
금산농협 7
 
0.5%
24 7
 
0.5%
주식회사 6
 
0.4%
금산인삼 6
 
0.4%
Other values (1233) 1322
90.6%
2023-12-12T11:50:12.150937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
3.9%
239
 
3.3%
227
 
3.2%
206
 
2.9%
1 193
 
2.7%
132
 
1.8%
2 113
 
1.6%
112
 
1.6%
112
 
1.6%
103
 
1.4%
Other values (576) 5479
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5834
81.1%
Decimal Number 860
 
12.0%
Space Separator 277
 
3.9%
Uppercase Letter 56
 
0.8%
Open Punctuation 43
 
0.6%
Close Punctuation 43
 
0.6%
Other Punctuation 37
 
0.5%
Dash Punctuation 20
 
0.3%
Lowercase Letter 17
 
0.2%
Other Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
239
 
4.1%
227
 
3.9%
206
 
3.5%
132
 
2.3%
112
 
1.9%
112
 
1.9%
103
 
1.8%
99
 
1.7%
97
 
1.7%
90
 
1.5%
Other values (526) 4417
75.7%
Uppercase Letter
ValueCountFrequency (%)
G 7
12.5%
S 5
 
8.9%
T 5
 
8.9%
O 4
 
7.1%
M 4
 
7.1%
A 4
 
7.1%
B 3
 
5.4%
C 3
 
5.4%
N 3
 
5.4%
E 2
 
3.6%
Other values (11) 16
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
o 2
11.8%
h 2
11.8%
c 2
11.8%
f 1
 
5.9%
a 1
 
5.9%
y 1
 
5.9%
p 1
 
5.9%
r 1
 
5.9%
t 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 193
22.4%
2 113
13.1%
3 92
10.7%
5 86
10.0%
4 78
9.1%
0 75
 
8.7%
7 62
 
7.2%
9 54
 
6.3%
6 54
 
6.3%
8 53
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 26
70.3%
, 8
 
21.6%
& 3
 
8.1%
Space Separator
ValueCountFrequency (%)
277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5839
81.2%
Common 1280
 
17.8%
Latin 73
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
239
 
4.1%
227
 
3.9%
206
 
3.5%
132
 
2.3%
112
 
1.9%
112
 
1.9%
103
 
1.8%
99
 
1.7%
97
 
1.7%
90
 
1.5%
Other values (526) 4422
75.7%
Latin
ValueCountFrequency (%)
G 7
 
9.6%
S 5
 
6.8%
T 5
 
6.8%
O 4
 
5.5%
M 4
 
5.5%
A 4
 
5.5%
e 4
 
5.5%
B 3
 
4.1%
C 3
 
4.1%
N 3
 
4.1%
Other values (22) 31
42.5%
Common
ValueCountFrequency (%)
277
21.6%
1 193
15.1%
2 113
8.8%
3 92
 
7.2%
5 86
 
6.7%
4 78
 
6.1%
0 75
 
5.9%
7 62
 
4.8%
9 54
 
4.2%
6 54
 
4.2%
Other values (7) 196
15.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5833
81.1%
ASCII 1353
 
18.8%
None 6
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
20.5%
1 193
14.3%
2 113
8.4%
3 92
 
6.8%
5 86
 
6.4%
4 78
 
5.8%
0 75
 
5.5%
7 62
 
4.6%
9 54
 
4.0%
6 54
 
4.0%
Other values (39) 269
19.9%
Hangul
ValueCountFrequency (%)
239
 
4.1%
227
 
3.9%
206
 
3.5%
132
 
2.3%
112
 
1.9%
112
 
1.9%
103
 
1.8%
99
 
1.7%
97
 
1.7%
90
 
1.5%
Other values (525) 4416
75.7%
None
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2021-09-15 00:00:00
Maximum2021-09-15 00:00:00
2023-12-12T11:50:12.288936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:12.398693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:50:05.159820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:04.169458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:05.358772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:04.431036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:50:12.477135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동업태분류우편번호
연번1.0000.3060.243NaN
행정동0.3061.0000.234NaN
업태분류0.2430.2341.000NaN
우편번호NaNNaNNaN1.000
2023-12-12T11:50:12.575415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태분류행정동
업태분류1.0000.108
행정동0.1081.000
2023-12-12T11:50:12.665236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호행정동업태분류
연번1.0000.1040.0980.113
우편번호0.1041.0000.0000.000
행정동0.0980.0001.0000.108
업태분류0.1130.0000.1081.000

Missing values

2023-12-12T11:50:05.691548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:50:06.021989image/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

연번행정동가맹점명업태분류우편번호기본주소상세주소데이터기준일
01금산읍도야족발금산점음식점업32733충청남도 금산군 금산읍 비단로301-22021-09-15
12금산읍야미마라탕금산점음식점업32737충청남도 금산군 금산읍 오리정로72021-09-15
23금산읍국수1번지음식점업32733충청남도 금산군 금산읍 비단로3092021-09-15
34금산읍작은김밥집음식점업32736충청남도 금산군 금산읍 후곤천길552021-09-15
45금산읍주식회사 주운소매업32722충청남도 금산군 금산읍 인삼로1982021-09-15
56금산읍한끼분식음식점업32747충청남도 금산군 금산읍 금산천길106. 5동 1층 5호2021-09-15
67금산읍씨유 금산하옥리점소매업32748충청남도 금산군 금산읍 비단로80. 1층2021-09-15
78금산읍동서가구소매업32740충청남도 금산군 금산읍 인삼로1122021-09-15
89금산읍신통치킨음식점업32732충청남도 금산군 금산읍 비단로3372021-09-15
910금산읍하나동물병원소매업32725충청남도 금산군 금산읍 비범로100. 1층2021-09-15
연번행정동가맹점명업태분류우편번호기본주소상세주소데이터기준일
11831184금산읍하옥335음식점업32747금산읍 금산천길 106, 3동 1층 5,6호하옥3352021-09-15
11841185금산읍수제파카롱음식점업32747금산읍 금산천길 106, 5동 1층 9호수제파카롱2021-09-15
11851186금산읍수피아리본소매업32747금산읍 금산천길 106 ,3동 1층 19호수피아리본2021-09-15
11861187금산읍별금방소매업32747금산읍 금산천길 98별금방2021-09-15
11871188금산읍금성상회소매업32747금산읍 금산천길 106금성상회2021-09-15
11881189금산읍왕기염소탕음식점업32747금산읍 금산천길 106왕기염소탕2021-09-15
11891190금산읍시민상사소매업32747금산읍 금산천길 98시민상사2021-09-15
11901191금산읍고궁떡집소매업32747금산읍 건삼전길 11고궁떡집2021-09-15
11911192금산읍남선그릇백화점소매업32747금산읍 금산천길 106남선그릇백화점2021-09-15
11921193금산읍시장슈퍼소매업32747금산읍 금산천길 98시장슈퍼2021-09-15