Overview

Dataset statistics

Number of variables6
Number of observations8726
Missing cells8267
Missing cells (%)15.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory417.7 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description충청북도 진천군 진천사랑상품권을 사용하는 가맹점 현황으로 연번, 가맹점명,가맹점기본주소(도로명),가맹점상세주소,유형, 기준일 등의 정보를 제공합니다.
Author충청북도 진천군
URLhttps://www.data.go.kr/data/15042618/fileData.do

Alerts

기준일 has constant value ""Constant
연번 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 연번High correlation
가맹점상세주소 has 5997 (68.7%) missing valuesMissing
기준일 has 2270 (26.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:49:30.138388
Analysis finished2024-03-14 08:49:33.056961
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8726
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4363.5
Minimum1
Maximum8726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size76.8 KiB
2024-03-14T17:49:33.285257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile437.25
Q12182.25
median4363.5
Q36544.75
95-th percentile8289.75
Maximum8726
Range8725
Interquartile range (IQR)4362.5

Descriptive statistics

Standard deviation2519.1236
Coefficient of variation (CV)0.57731719
Kurtosis-1.2
Mean4363.5
Median Absolute Deviation (MAD)2181.5
Skewness0
Sum38075901
Variance6345983.5
MonotonicityStrictly increasing
2024-03-14T17:49:33.720720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5822 1
 
< 0.1%
5816 1
 
< 0.1%
5817 1
 
< 0.1%
5818 1
 
< 0.1%
5819 1
 
< 0.1%
5820 1
 
< 0.1%
5821 1
 
< 0.1%
5823 1
 
< 0.1%
5729 1
 
< 0.1%
Other values (8716) 8716
99.9%
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 (%)
8726 1
< 0.1%
8725 1
< 0.1%
8724 1
< 0.1%
8723 1
< 0.1%
8722 1
< 0.1%
8721 1
< 0.1%
8720 1
< 0.1%
8719 1
< 0.1%
8718 1
< 0.1%
8717 1
< 0.1%

가맹점명
Text

Distinct4974
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2024-03-14T17:49:34.847562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length7.1085262
Min length1

Characters and Unicode

Total characters62029
Distinct characters951
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2374 ?
Unique (%)27.2%

Sample

1st row(EYE LIKE) 안경
2nd row(자)대광주류합동상사
3rd row(자)진천주류합동상사
4th row(주)고속에너지
5th row(주)고속에너지 조은주유소
ValueCountFrequency (%)
진천점 194
 
1.7%
충북혁신도시점 151
 
1.3%
충북혁신점 110
 
1.0%
주식회사 86
 
0.8%
세븐일레븐 77
 
0.7%
씨유 71
 
0.6%
광혜원점 59
 
0.5%
㈜비지에프네트웍스 52
 
0.5%
진천 35
 
0.3%
아모레 34
 
0.3%
Other values (5309) 10526
92.4%
2024-03-14T17:49:36.459538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2717
 
4.4%
점 1836
 
3.0%
진 1437
 
2.3%
천 1408
 
2.3%
이 1209
 
1.9%
스 1013
 
1.6%
원 964
 
1.6%
신 800
 
1.3%
리 763
 
1.2%
혁 605
 
1.0%
Other values (941) 49277
79.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55256
89.1%
Space Separator 2717
 
4.4%
Uppercase Letter 1300
 
2.1%
Decimal Number 795
 
1.3%
Lowercase Letter 770
 
1.2%
Close Punctuation 432
 
0.7%
Open Punctuation 427
 
0.7%
Other Punctuation 222
 
0.4%
Other Symbol 67
 
0.1%
Connector Punctuation 33
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1836
 
3.3%
진 1437
 
2.6%
천 1408
 
2.5%
이 1209
 
2.2%
스 1013
 
1.8%
원 964
 
1.7%
신 800
 
1.4%
리 763
 
1.4%
혁 605
 
1.1%
사 567
 
1.0%
Other values (854) 44654
80.8%
Uppercase Letter
ValueCountFrequency (%)
S 171
 
13.2%
G 146
 
11.2%
C 117
 
9.0%
E 81
 
6.2%
A 63
 
4.8%
T 52
 
4.0%
M 51
 
3.9%
O 50
 
3.8%
Y 49
 
3.8%
H 49
 
3.8%
Other values (16) 471
36.2%
Lowercase Letter
ValueCountFrequency (%)
o 105
13.6%
e 80
 
10.4%
a 59
 
7.7%
s 58
 
7.5%
n 50
 
6.5%
t 47
 
6.1%
p 47
 
6.1%
i 46
 
6.0%
b 39
 
5.1%
l 33
 
4.3%
Other values (14) 206
26.8%
Decimal Number
ValueCountFrequency (%)
2 204
25.7%
1 134
16.9%
5 125
15.7%
4 68
 
8.6%
9 55
 
6.9%
3 55
 
6.9%
0 52
 
6.5%
7 44
 
5.5%
6 30
 
3.8%
8 26
 
3.3%
Other values (2) 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 76
34.2%
, 42
18.9%
. 37
16.7%
* 33
14.9%
' 9
 
4.1%
: 8
 
3.6%
; 8
 
3.6%
# 4
 
1.8%
/ 2
 
0.9%
? 1
 
0.5%
Other values (2) 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 429
99.3%
） 2
 
0.5%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 423
99.1%
（ 3
 
0.7%
[ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
> 1
25.0%
< 1
25.0%
Space Separator
ValueCountFrequency (%)
2717
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 67
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55312
89.2%
Common 4636
 
7.5%
Latin 2070
 
3.3%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1836
 
3.3%
진 1437
 
2.6%
천 1408
 
2.5%
이 1209
 
2.2%
스 1013
 
1.8%
원 964
 
1.7%
신 800
 
1.4%
리 763
 
1.4%
혁 605
 
1.1%
사 567
 
1.0%
Other values (846) 44710
80.8%
Latin
ValueCountFrequency (%)
S 171
 
8.3%
G 146
 
7.1%
C 117
 
5.7%
o 105
 
5.1%
E 81
 
3.9%
e 80
 
3.9%
A 63
 
3.0%
a 59
 
2.9%
s 58
 
2.8%
T 52
 
2.5%
Other values (40) 1138
55.0%
Common
ValueCountFrequency (%)
2717
58.6%
) 429
 
9.3%
( 423
 
9.1%
2 204
 
4.4%
1 134
 
2.9%
5 125
 
2.7%
& 76
 
1.6%
4 68
 
1.5%
9 55
 
1.2%
3 55
 
1.2%
Other values (26) 350
 
7.5%
Han
ValueCountFrequency (%)
林 3
27.3%
五 1
 
9.1%
韓 1
 
9.1%
代 1
 
9.1%
氏 1
 
9.1%
辛 1
 
9.1%
多 1
 
9.1%
手 1
 
9.1%
大 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55245
89.1%
ASCII 6697
 
10.8%
None 76
 
0.1%
CJK 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2717
40.6%
) 429
 
6.4%
( 423
 
6.3%
2 204
 
3.0%
S 171
 
2.6%
G 146
 
2.2%
1 134
 
2.0%
5 125
 
1.9%
C 117
 
1.7%
o 105
 
1.6%
Other values (70) 2126
31.7%
Hangul
ValueCountFrequency (%)
점 1836
 
3.3%
진 1437
 
2.6%
천 1408
 
2.5%
이 1209
 
2.2%
스 1013
 
1.8%
원 964
 
1.7%
신 800
 
1.4%
리 763
 
1.4%
혁 605
 
1.1%
사 567
 
1.0%
Other values (845) 44643
80.8%
None
ValueCountFrequency (%)
㈜ 67
88.2%
（ 3
 
3.9%
） 2
 
2.6%
· 1
 
1.3%
３ 1
 
1.3%
， 1
 
1.3%
２ 1
 
1.3%
CJK
ValueCountFrequency (%)
林 3
27.3%
五 1
 
9.1%
韓 1
 
9.1%
代 1
 
9.1%
氏 1
 
9.1%
辛 1
 
9.1%
多 1
 
9.1%
手 1
 
9.1%
大 1
 
9.1%

가맹점기본주소(도로명)
Text

Distinct3056
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2024-03-14T17:49:37.755689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50
Mean length20.792803
Min length8

Characters and Unicode

Total characters181438
Distinct characters439
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1371 ?
Unique (%)15.7%

Sample

1st row충청북도 진천군 덕산읍 시가로 6
2nd row충청북도 진천군 진천읍 장수로 130-9
3rd row충청북도 진천군 진천읍 장수로 130-9
4th row충청북도 진천군 진천읍 덕금로 158
5th row충청북도 진천군 진천읍 원덕로 332
ValueCountFrequency (%)
충청북도 8016
18.3%
진천군 7799
17.8%
진천읍 3831
 
8.7%
덕산읍 1703
 
3.9%
광혜원면 1024
 
2.3%
음성군 930
 
2.1%
맹동면 927
 
2.1%
충북 738
 
1.7%
이월면 557
 
1.3%
대하로 529
 
1.2%
Other values (1974) 17792
40.6%
2024-03-14T17:49:39.496092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35120
19.4%
진 12355
 
6.8%
천 11857
 
6.5%
북 9264
 
5.1%
충 8830
 
4.9%
군 8741
 
4.8%
도 8088
 
4.5%
청 8030
 
4.4%
1 5848
 
3.2%
읍 5674
 
3.1%
Other values (429) 67631
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119409
65.8%
Space Separator 35120
 
19.4%
Decimal Number 24229
 
13.4%
Dash Punctuation 1778
 
1.0%
Open Punctuation 325
 
0.2%
Close Punctuation 325
 
0.2%
Other Punctuation 189
 
0.1%
Uppercase Letter 34
 
< 0.1%
Lowercase Letter 26
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 12355
 
10.3%
천 11857
 
9.9%
북 9264
 
7.8%
충 8830
 
7.4%
군 8741
 
7.3%
도 8088
 
6.8%
청 8030
 
6.7%
읍 5674
 
4.8%
로 4748
 
4.0%
길 3619
 
3.0%
Other values (378) 38203
32.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
17.6%
L 3
8.8%
D 3
8.8%
G 3
8.8%
U 2
 
5.9%
K 2
 
5.9%
V 2
 
5.9%
P 2
 
5.9%
A 2
 
5.9%
J 2
 
5.9%
Other values (7) 7
20.6%
Lowercase Letter
ValueCountFrequency (%)
b 4
15.4%
n 3
11.5%
i 2
 
7.7%
e 2
 
7.7%
a 2
 
7.7%
l 2
 
7.7%
g 2
 
7.7%
h 1
 
3.8%
c 1
 
3.8%
w 1
 
3.8%
Other values (6) 6
23.1%
Decimal Number
ValueCountFrequency (%)
1 5848
24.1%
2 3422
14.1%
3 2676
11.0%
4 2247
 
9.3%
5 1841
 
7.6%
7 1826
 
7.5%
6 1687
 
7.0%
9 1576
 
6.5%
0 1560
 
6.4%
8 1545
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 185
97.9%
. 4
 
2.1%
Space Separator
ValueCountFrequency (%)
35120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1778
100.0%
Open Punctuation
ValueCountFrequency (%)
( 325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 325
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119409
65.8%
Common 61969
34.2%
Latin 60
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 12355
 
10.3%
천 11857
 
9.9%
북 9264
 
7.8%
충 8830
 
7.4%
군 8741
 
7.3%
도 8088
 
6.8%
청 8030
 
6.7%
읍 5674
 
4.8%
로 4748
 
4.0%
길 3619
 
3.0%
Other values (378) 38203
32.0%
Latin
ValueCountFrequency (%)
C 6
 
10.0%
b 4
 
6.7%
L 3
 
5.0%
n 3
 
5.0%
D 3
 
5.0%
G 3
 
5.0%
i 2
 
3.3%
e 2
 
3.3%
a 2
 
3.3%
U 2
 
3.3%
Other values (23) 30
50.0%
Common
ValueCountFrequency (%)
35120
56.7%
1 5848
 
9.4%
2 3422
 
5.5%
3 2676
 
4.3%
4 2247
 
3.6%
5 1841
 
3.0%
7 1826
 
2.9%
- 1778
 
2.9%
6 1687
 
2.7%
9 1576
 
2.5%
Other values (8) 3948
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119408
65.8%
ASCII 62028
34.2%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35120
56.6%
1 5848
 
9.4%
2 3422
 
5.5%
3 2676
 
4.3%
4 2247
 
3.6%
5 1841
 
3.0%
7 1826
 
2.9%
- 1778
 
2.9%
6 1687
 
2.7%
9 1576
 
2.5%
Other values (40) 4007
 
6.5%
Hangul
ValueCountFrequency (%)
진 12355
 
10.3%
천 11857
 
9.9%
북 9264
 
7.8%
충 8830
 
7.4%
군 8741
 
7.3%
도 8088
 
6.8%
청 8030
 
6.7%
읍 5674
 
4.8%
로 4748
 
4.0%
길 3619
 
3.0%
Other values (377) 38202
32.0%
None
ValueCountFrequency (%)
２ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

가맹점상세주소
Text

MISSING 

Distinct1912
Distinct (%)70.1%
Missing5997
Missing (%)68.7%
Memory size68.3 KiB
2024-03-14T17:49:40.431651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length6.1410773
Min length1

Characters and Unicode

Total characters16759
Distinct characters695
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1782 ?
Unique (%)65.3%

Sample

1st row106호
2nd row1층
3rd row(주)남한강
4th rowA동 11호
5th row2층
ValueCountFrequency (%)
1층 388
 
10.3%
130
 
3.5%
2층 109
 
2.9%
101호 76
 
2.0%
102호 57
 
1.5%
104호 45
 
1.2%
103호 42
 
1.1%
3층 41
 
1.1%
없음 33
 
0.9%
4층 30
 
0.8%
Other values (2028) 2813
74.7%
2024-03-14T17:49:41.821998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1781
 
10.6%
1088
 
6.5%
0 1000
 
6.0%
호 894
 
5.3%
2 701
 
4.2%
층 662
 
4.0%
3 473
 
2.8%
4 392
 
2.3%
동 312
 
1.9%
5 251
 
1.5%
Other values (685) 9205
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9439
56.3%
Decimal Number 5246
31.3%
Space Separator 1088
 
6.5%
Other Punctuation 308
 
1.8%
Uppercase Letter 288
 
1.7%
Close Punctuation 162
 
1.0%
Open Punctuation 160
 
1.0%
Lowercase Letter 54
 
0.3%
Math Symbol 13
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 894
 
9.5%
층 662
 
7.0%
동 312
 
3.3%
이 176
 
1.9%
리 168
 
1.8%
가 165
 
1.7%
스 153
 
1.6%
진 152
 
1.6%
천 152
 
1.6%
점 145
 
1.5%
Other values (620) 6460
68.4%
Uppercase Letter
ValueCountFrequency (%)
A 40
13.9%
C 35
12.2%
G 34
11.8%
B 29
10.1%
S 20
 
6.9%
E 15
 
5.2%
H 15
 
5.2%
D 14
 
4.9%
O 10
 
3.5%
F 10
 
3.5%
Other values (15) 66
22.9%
Lowercase Letter
ValueCountFrequency (%)
e 9
16.7%
c 5
9.3%
a 5
9.3%
t 4
 
7.4%
g 4
 
7.4%
s 4
 
7.4%
h 4
 
7.4%
r 3
 
5.6%
o 3
 
5.6%
l 2
 
3.7%
Other values (9) 11
20.4%
Decimal Number
ValueCountFrequency (%)
1 1781
33.9%
0 1000
19.1%
2 701
 
13.4%
3 473
 
9.0%
4 392
 
7.5%
5 251
 
4.8%
6 212
 
4.0%
7 182
 
3.5%
8 129
 
2.5%
9 125
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 153
49.7%
, 150
48.7%
? 2
 
0.6%
@ 1
 
0.3%
& 1
 
0.3%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1088
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9440
56.3%
Common 6977
41.6%
Latin 342
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 894
 
9.5%
층 662
 
7.0%
동 312
 
3.3%
이 176
 
1.9%
리 168
 
1.8%
가 165
 
1.7%
스 153
 
1.6%
진 152
 
1.6%
천 152
 
1.6%
점 145
 
1.5%
Other values (621) 6461
68.4%
Latin
ValueCountFrequency (%)
A 40
 
11.7%
C 35
 
10.2%
G 34
 
9.9%
B 29
 
8.5%
S 20
 
5.8%
E 15
 
4.4%
H 15
 
4.4%
D 14
 
4.1%
O 10
 
2.9%
F 10
 
2.9%
Other values (34) 120
35.1%
Common
ValueCountFrequency (%)
1 1781
25.5%
1088
15.6%
0 1000
14.3%
2 701
 
10.0%
3 473
 
6.8%
4 392
 
5.6%
5 251
 
3.6%
6 212
 
3.0%
7 182
 
2.6%
) 162
 
2.3%
Other values (10) 735
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9439
56.3%
ASCII 7319
43.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1781
24.3%
1088
14.9%
0 1000
13.7%
2 701
 
9.6%
3 473
 
6.5%
4 392
 
5.4%
5 251
 
3.4%
6 212
 
2.9%
7 182
 
2.5%
) 162
 
2.2%
Other values (54) 1077
14.7%
Hangul
ValueCountFrequency (%)
호 894
 
9.5%
층 662
 
7.0%
동 312
 
3.3%
이 176
 
1.9%
리 168
 
1.8%
가 165
 
1.7%
스 153
 
1.6%
진 152
 
1.6%
천 152
 
1.6%
점 145
 
1.5%
Other values (620) 6460
68.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
모바일
2919 
<NA>
2270 
지류
1884 
카드
1653 

Length

Max length4
Median length3
Mean length2.8548017
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
모바일 2919
33.5%
<NA> 2270
26.0%
지류 1884
21.6%
카드 1653
18.9%

Length

2024-03-14T17:49:42.277426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:49:42.649493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모바일 2919
33.5%
na 2270
26.0%
지류 1884
21.6%
카드 1653
18.9%

기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing2270
Missing (%)26.0%
Memory size68.3 KiB
Minimum2024-02-02 00:00:00
Maximum2024-02-02 00:00:00
2024-03-14T17:49:42.843560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:49:43.002625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T17:49:31.893613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:49:43.120876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형
연번1.0000.922
유형0.9221.000
2024-03-14T17:49:43.344193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형
연번1.0000.919
유형0.9191.000

Missing values

2024-03-14T17:49:32.227931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:49:32.586690image/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.
2024-03-14T17:49:32.901310image/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

연번가맹점명가맹점기본주소(도로명)가맹점상세주소유형기준일
01(EYE LIKE) 안경충청북도 진천군 덕산읍 시가로 6106호지류2024-02-02
12(자)대광주류합동상사충청북도 진천군 진천읍 장수로 130-9<NA>지류2024-02-02
23(자)진천주류합동상사충청북도 진천군 진천읍 장수로 130-9<NA>지류2024-02-02
34(주)고속에너지충청북도 진천군 진천읍 덕금로 158<NA>지류2024-02-02
45(주)고속에너지 조은주유소충청북도 진천군 진천읍 원덕로 332<NA>지류2024-02-02
56(주)그녀의 하루충청북도 진천군 덕산읍 대월2길 261층지류2024-02-02
67(주)남한강충청북도 음성군 맹동면 대하로 227(주)남한강지류2024-02-02
78(주)대영에너지 진천IC 충전소충청북도 진천군 진천읍 덕금로 106-26<NA>지류2024-02-02
89(주)제이에이치에너지 진천지점충청북도 진천군 광혜원면 생거진천로 2377<NA>지류2024-02-02
910(주)조이에너지 광혜원충전소충청북도 진천군 광혜원면 진광로 1436<NA>지류2024-02-02
연번가맹점명가맹점기본주소(도로명)가맹점상세주소유형기준일
87168717흥농종묘사충북 진천군 진천읍 읍내리1481<NA><NA>
87178718희동부대찌개충청북도 진천군 진천읍 문화로 142희동부대찌개<NA><NA>
87188719희망상회충북 진천군 진천읍읍내리 2732<NA><NA>
87198720희성정보통신충북 진천군 진천읍 교성리2406<NA><NA>
87208721희수헤어모드충청북도 진천군 진천읍 상산로 55-2<NA><NA><NA>
87218722희희식당충청북도 진천군 덕산읍 대월로 85<NA><NA><NA>
87228723히든당구장충북 진천군 진천읍 읍내리632<NA><NA>
87238724히트낚시충청북도 진천군 진천읍 원덕로 346<NA><NA><NA>
87248725힐더홈 충청점충청북도 진천군 진천읍 중앙동5길 13-16<NA><NA><NA>
87258726힐링캠프충청북도 진천군 초평면 초평로 10531층<NA><NA>