Overview

Dataset statistics

Number of variables11
Number of observations332
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.3 KiB
Average record size in memory90.4 B

Variable types

Numeric2
Text3
Categorical4
Boolean2

Dataset

Description여주도시공사에서 운영중인 여주시 관내 종량제봉투 판매소 현황을 알 수 있습니다.여주시 관내 종량제봉투 판매소 현황을 통하여 나의 위치를 중심으로 가장 가까운 종량제봉투 판매소 를 이용하실 수 있습니다.
Author여주도시공사
URLhttps://www.data.go.kr/data/15127107/fileData.do

Alerts

배달요일 has constant value ""Constant
데이터기준일자 has constant value ""Constant
법정동 is highly overall correlated with 코드 and 1 other fieldsHigh correlation
행정동 is highly overall correlated with 코드 and 1 other fieldsHigh correlation
코드 is highly overall correlated with 행정동 and 1 other fieldsHigh correlation
문자안내동의 is highly imbalanced (63.7%)Imbalance

Reproduction

Analysis started2024-03-23 06:01:41.329060
Analysis finished2024-03-23 06:01:45.878898
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드
Real number (ℝ)

HIGH CORRELATION 

Distinct312
Distinct (%)94.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean6767.3112
Minimum1
Maximum13005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-23T06:01:46.199262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11108.5
median9001
Q311074.5
95-th percentile12047.5
Maximum13005
Range13004
Interquartile range (IQR)9966

Descriptive statistics

Standard deviation4582.864
Coefficient of variation (CV)0.67720605
Kurtosis-1.665638
Mean6767.3112
Median Absolute Deviation (MAD)3029
Skewness-0.26821932
Sum2239980
Variance21002643
MonotonicityNot monotonic
2024-03-23T06:01:46.840010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 20
 
6.0%
1002 1
 
0.3%
9006 1
 
0.3%
1114 1
 
0.3%
11084 1
 
0.3%
12047 1
 
0.3%
10126 1
 
0.3%
3018 1
 
0.3%
3017 1
 
0.3%
6020 1
 
0.3%
Other values (302) 302
91.0%
ValueCountFrequency (%)
1 20
6.0%
1002 1
 
0.3%
1003 1
 
0.3%
1005 1
 
0.3%
1007 1
 
0.3%
1008 1
 
0.3%
1012 1
 
0.3%
1014 1
 
0.3%
1026 1
 
0.3%
1028 1
 
0.3%
ValueCountFrequency (%)
13005 1
0.3%
13004 1
0.3%
13003 1
0.3%
13002 1
0.3%
13001 1
0.3%
12060 1
0.3%
12059 1
0.3%
12058 1
0.3%
12057 1
0.3%
12056 1
0.3%

거래처명
Text

Distinct330
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T06:01:47.635055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.1445783
Min length3

Characters and Unicode

Total characters3036
Distinct characters287
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

Unique328 ?
Unique (%)98.8%

Sample

1st row가남농협하나로마트
2nd row황제식자재마트
3rd row현진마트(가남)
4th row현대공판장
5th row가남태양마트
ValueCountFrequency (%)
세븐일레븐 37
 
6.7%
씨유 37
 
6.7%
gs25 28
 
5.0%
이마트24 25
 
4.5%
cu 12
 
2.2%
11
 
2.0%
지에스25 8
 
1.4%
여주 6
 
1.1%
지에스 4
 
0.7%
여주점 4
 
0.7%
Other values (348) 383
69.0%
2024-03-23T06:01:48.842769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 251
 
8.3%
223
 
7.3%
여 179
 
5.9%
주 175
 
5.8%
마 95
 
3.1%
트 92
 
3.0%
2 87
 
2.9%
븐 82
 
2.7%
이 57
 
1.9%
5 55
 
1.8%
Other values (277) 1740
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2360
77.7%
Space Separator 223
 
7.3%
Decimal Number 180
 
5.9%
Uppercase Letter 126
 
4.2%
Lowercase Letter 55
 
1.8%
Close Punctuation 40
 
1.3%
Open Punctuation 40
 
1.3%
Other Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 251
 
10.6%
여 179
 
7.6%
주 175
 
7.4%
마 95
 
4.0%
트 92
 
3.9%
븐 82
 
3.5%
이 57
 
2.4%
세 53
 
2.2%
유 46
 
1.9%
일 46
 
1.9%
Other values (252) 1284
54.4%
Uppercase Letter
ValueCountFrequency (%)
S 30
23.8%
G 30
23.8%
C 30
23.8%
U 20
15.9%
I 5
 
4.0%
R 4
 
3.2%
K 3
 
2.4%
D 2
 
1.6%
T 1
 
0.8%
O 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 87
48.3%
5 55
30.6%
4 31
 
17.2%
1 3
 
1.7%
3 3
 
1.7%
6 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
s 16
29.1%
g 15
27.3%
c 12
21.8%
u 10
18.2%
i 2
 
3.6%
Space Separator
ValueCountFrequency (%)
223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2360
77.7%
Common 495
 
16.3%
Latin 181
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 251
 
10.6%
여 179
 
7.6%
주 175
 
7.4%
마 95
 
4.0%
트 92
 
3.9%
븐 82
 
3.5%
이 57
 
2.4%
세 53
 
2.2%
유 46
 
1.9%
일 46
 
1.9%
Other values (252) 1284
54.4%
Latin
ValueCountFrequency (%)
S 30
16.6%
G 30
16.6%
C 30
16.6%
U 20
11.0%
s 16
8.8%
g 15
8.3%
c 12
 
6.6%
u 10
 
5.5%
I 5
 
2.8%
R 4
 
2.2%
Other values (5) 9
 
5.0%
Common
ValueCountFrequency (%)
223
45.1%
2 87
 
17.6%
5 55
 
11.1%
) 40
 
8.1%
( 40
 
8.1%
4 31
 
6.3%
/ 12
 
2.4%
1 3
 
0.6%
3 3
 
0.6%
6 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2360
77.7%
ASCII 676
 
22.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 251
 
10.6%
여 179
 
7.6%
주 175
 
7.4%
마 95
 
4.0%
트 92
 
3.9%
븐 82
 
3.5%
이 57
 
2.4%
세 53
 
2.2%
유 46
 
1.9%
일 46
 
1.9%
Other values (252) 1284
54.4%
ASCII
ValueCountFrequency (%)
223
33.0%
2 87
 
12.9%
5 55
 
8.1%
) 40
 
5.9%
( 40
 
5.9%
4 31
 
4.6%
S 30
 
4.4%
G 30
 
4.4%
C 30
 
4.4%
U 20
 
3.0%
Other values (15) 90
13.3%

행정동
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
여흥동
76 
중앙동
75 
오학동
49 
가남읍
48 
대신면
15 
Other values (7)
69 

Length

Max length5
Median length3
Mean length3.0542169
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여흥동 76
22.9%
중앙동 75
22.6%
오학동 49
14.8%
가남읍 48
14.5%
대신면 15
 
4.5%
흥천면 15
 
4.5%
금사면 12
 
3.6%
강천면 12
 
3.6%
세종대왕면 9
 
2.7%
점동면 8
 
2.4%
Other values (2) 13
 
3.9%

Length

2024-03-23T06:01:49.492682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여흥동 76
22.9%
중앙동 75
22.6%
오학동 49
14.8%
가남읍 48
14.5%
대신면 15
 
4.5%
흥천면 15
 
4.5%
금사면 12
 
3.6%
강천면 12
 
3.6%
세종대왕면 9
 
2.7%
점동면 8
 
2.4%
Other values (2) 13
 
3.9%

법정동
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
가남읍
48 
홍문동
24 
점봉동
21 
교동
21 
현암동
20 
Other values (22)
198 

Length

Max length5
Median length3
Mean length2.8283133
Min length2

Unique

Unique4 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
가남읍 48
14.5%
홍문동 24
 
7.2%
점봉동 21
 
6.3%
교동 21
 
6.3%
현암동 20
 
6.0%
오학동 20
 
6.0%
하동 20
 
6.0%
창동 17
 
5.1%
상동 17
 
5.1%
대신면 15
 
4.5%
Other values (17) 109
32.8%

Length

2024-03-23T06:01:49.924513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가남읍 48
14.5%
홍문동 24
 
7.2%
점봉동 21
 
6.3%
교동 21
 
6.3%
현암동 20
 
6.0%
오학동 20
 
6.0%
하동 20
 
6.0%
창동 17
 
5.1%
상동 17
 
5.1%
대신면 15
 
4.5%
Other values (17) 109
32.8%

도로명주소
Text

Distinct308
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T06:01:51.019222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length13.35241
Min length1

Characters and Unicode

Total characters4433
Distinct characters109
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique286 ?
Unique (%)86.1%

Sample

1st row여주시 가남읍 경충대로 1342
2nd row여주시 가남읍 태평로 50
3rd row여주시 가남읍 경충대로 1472-19
4th row여주시 가남읍 태평중앙1길 8-7
5th row여주시 가남읍 태평로 21-1
ValueCountFrequency (%)
여주시 331
29.6%
가남읍 43
 
3.8%
세종로 42
 
3.8%
도예로 18
 
1.6%
여양로 17
 
1.5%
청심로 15
 
1.3%
흥천면 15
 
1.3%
대신면 14
 
1.2%
여주남로 14
 
1.2%
이여로 12
 
1.1%
Other values (352) 599
53.5%
2024-03-23T06:01:52.371371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
788
17.8%
여 411
 
9.3%
주 349
 
7.9%
시 331
 
7.5%
로 291
 
6.6%
1 225
 
5.1%
2 154
 
3.5%
3 122
 
2.8%
4 101
 
2.3%
6 91
 
2.1%
Other values (99) 1570
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2500
56.4%
Decimal Number 1058
23.9%
Space Separator 788
 
17.8%
Dash Punctuation 87
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 411
16.4%
주 349
14.0%
시 331
13.2%
로 291
 
11.6%
면 83
 
3.3%
길 72
 
2.9%
남 62
 
2.5%
세 60
 
2.4%
종 60
 
2.4%
가 49
 
2.0%
Other values (87) 732
29.3%
Decimal Number
ValueCountFrequency (%)
1 225
21.3%
2 154
14.6%
3 122
11.5%
4 101
9.5%
6 91
8.6%
5 89
 
8.4%
7 74
 
7.0%
0 74
 
7.0%
8 65
 
6.1%
9 63
 
6.0%
Space Separator
ValueCountFrequency (%)
788
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2500
56.4%
Common 1933
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 411
16.4%
주 349
14.0%
시 331
13.2%
로 291
 
11.6%
면 83
 
3.3%
길 72
 
2.9%
남 62
 
2.5%
세 60
 
2.4%
종 60
 
2.4%
가 49
 
2.0%
Other values (87) 732
29.3%
Common
ValueCountFrequency (%)
788
40.8%
1 225
 
11.6%
2 154
 
8.0%
3 122
 
6.3%
4 101
 
5.2%
6 91
 
4.7%
5 89
 
4.6%
- 87
 
4.5%
7 74
 
3.8%
0 74
 
3.8%
Other values (2) 128
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2500
56.4%
ASCII 1933
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
788
40.8%
1 225
 
11.6%
2 154
 
8.0%
3 122
 
6.3%
4 101
 
5.2%
6 91
 
4.7%
5 89
 
4.6%
- 87
 
4.5%
7 74
 
3.8%
0 74
 
3.8%
Other values (2) 128
 
6.6%
Hangul
ValueCountFrequency (%)
여 411
16.4%
주 349
14.0%
시 331
13.2%
로 291
 
11.6%
면 83
 
3.3%
길 72
 
2.9%
남 62
 
2.5%
세 60
 
2.4%
종 60
 
2.4%
가 49
 
2.0%
Other values (87) 732
29.3%

도로명 참고항목
Text

Distinct119
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T06:01:52.996144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length5
Mean length6.6024096
Min length1

Characters and Unicode

Total characters2192
Distinct characters181
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

Unique77 ?
Unique (%)23.2%

Sample

1st row(태평리, 농협하나로마트)
2nd row(태평리, 데카마트)
3rd row(신해리, 현진에버빌1차아파트)
4th row(태평리)
5th row(태평리)
ValueCountFrequency (%)
홍문동 28
 
6.8%
점봉동 23
 
5.6%
현암동 22
 
5.4%
태평리 21
 
5.1%
교동 20
 
4.9%
하동 19
 
4.6%
오학동 18
 
4.4%
창동 16
 
3.9%
상동 15
 
3.6%
월송동 14
 
3.4%
Other values (116) 215
52.3%
2024-03-23T06:01:54.514182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 331
 
15.1%
) 331
 
15.1%
동 208
 
9.5%
리 134
 
6.1%
79
 
3.6%
, 71
 
3.2%
트 37
 
1.7%
아 30
 
1.4%
상 29
 
1.3%
문 29
 
1.3%
Other values (171) 913
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1363
62.2%
Open Punctuation 331
 
15.1%
Close Punctuation 331
 
15.1%
Space Separator 79
 
3.6%
Other Punctuation 71
 
3.2%
Decimal Number 13
 
0.6%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 208
 
15.3%
리 134
 
9.8%
트 37
 
2.7%
아 30
 
2.2%
상 29
 
2.1%
문 29
 
2.1%
현 28
 
2.1%
홍 28
 
2.1%
파 27
 
2.0%
하 26
 
1.9%
Other values (159) 787
57.7%
Decimal Number
ValueCountFrequency (%)
0 5
38.5%
1 3
23.1%
2 2
 
15.4%
4 2
 
15.4%
3 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
R 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1363
62.2%
Common 825
37.6%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 208
 
15.3%
리 134
 
9.8%
트 37
 
2.7%
아 30
 
2.2%
상 29
 
2.1%
문 29
 
2.1%
현 28
 
2.1%
홍 28
 
2.1%
파 27
 
2.0%
하 26
 
1.9%
Other values (159) 787
57.7%
Common
ValueCountFrequency (%)
( 331
40.1%
) 331
40.1%
79
 
9.6%
, 71
 
8.6%
0 5
 
0.6%
1 3
 
0.4%
2 2
 
0.2%
4 2
 
0.2%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
S 2
50.0%
e 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1363
62.2%
ASCII 829
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 331
39.9%
) 331
39.9%
79
 
9.5%
, 71
 
8.6%
0 5
 
0.6%
1 3
 
0.4%
2 2
 
0.2%
4 2
 
0.2%
S 2
 
0.2%
e 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
동 208
 
15.3%
리 134
 
9.8%
트 37
 
2.7%
아 30
 
2.2%
상 29
 
2.1%
문 29
 
2.1%
현 28
 
2.1%
홍 28
 
2.1%
파 27
 
2.0%
하 26
 
1.9%
Other values (159) 787
57.7%

새우편번호
Real number (ℝ)

Distinct56
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12597.464
Minimum0
Maximum12667
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-23T06:01:55.146226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12604
Q112622
median12637
Q312652.25
95-th percentile12662
Maximum12667
Range12667
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation693.70799
Coefficient of variation (CV)0.055067273
Kurtosis331.5297
Mean12597.464
Median Absolute Deviation (MAD)15
Skewness-18.201566
Sum4182358
Variance481230.77
MonotonicityNot monotonic
2024-03-23T06:01:55.816576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12653 24
 
7.2%
12662 20
 
6.0%
12637 18
 
5.4%
12639 15
 
4.5%
12604 14
 
4.2%
12636 11
 
3.3%
12627 10
 
3.0%
12652 9
 
2.7%
12667 8
 
2.4%
12646 8
 
2.4%
Other values (46) 195
58.7%
ValueCountFrequency (%)
0 1
 
0.3%
12600 2
 
0.6%
12601 1
 
0.3%
12603 4
 
1.2%
12604 14
4.2%
12605 6
1.8%
12607 6
1.8%
12608 4
 
1.2%
12609 1
 
0.3%
12610 8
2.4%
ValueCountFrequency (%)
12667 8
 
2.4%
12664 3
 
0.9%
12663 4
 
1.2%
12662 20
6.0%
12661 6
 
1.8%
12660 2
 
0.6%
12659 2
 
0.6%
12658 1
 
0.3%
12656 2
 
0.6%
12655 8
 
2.4%

동의여부
Boolean

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
210 
False
122 
ValueCountFrequency (%)
True 210
63.3%
False 122
36.7%
2024-03-23T06:01:56.444079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배달요일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
월,화,수,목,금
332 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월,화,수,목,금
2nd row월,화,수,목,금
3rd row월,화,수,목,금
4th row월,화,수,목,금
5th row월,화,수,목,금

Common Values

ValueCountFrequency (%)
월,화,수,목,금 332
100.0%

Length

2024-03-23T06:01:56.869872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:01:57.388245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월,화,수,목,금 332
100.0%

문자안내동의
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
309 
False
 
23
ValueCountFrequency (%)
True 309
93.1%
False 23
 
6.9%
2024-03-23T06:01:57.829962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-08
332 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-08
2nd row2024-03-08
3rd row2024-03-08
4th row2024-03-08
5th row2024-03-08

Common Values

ValueCountFrequency (%)
2024-03-08 332
100.0%

Length

2024-03-23T06:01:58.298238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:01:58.669332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-08 332
100.0%

Interactions

2024-03-23T06:01:44.092110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:43.025191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:44.499990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:43.394283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:01:58.903034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드행정동법정동새우편번호동의여부문자안내동의
코드1.0000.9570.9710.0000.3560.030
행정동0.9571.0001.0000.0000.1490.000
법정동0.9711.0001.0000.0000.1640.000
새우편번호0.0000.0000.0001.0000.0000.118
동의여부0.3560.1490.1640.0001.0000.407
문자안내동의0.0300.0000.0000.1180.4071.000
2024-03-23T06:01:59.336714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동행정동동의여부문자안내동의
법정동1.0000.9760.1350.000
행정동0.9761.0000.1130.000
동의여부0.1350.1131.0000.267
문자안내동의0.0000.0000.2671.000
2024-03-23T06:01:59.873739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드새우편번호행정동법정동동의여부문자안내동의
코드1.000-0.0540.8300.8110.2700.020
새우편번호-0.0541.0000.0000.0000.0000.075
행정동0.8300.0001.0000.9760.1130.000
법정동0.8110.0000.9761.0000.1350.000
동의여부0.2700.0000.1130.1351.0000.267
문자안내동의0.0200.0750.0000.0000.2671.000

Missing values

2024-03-23T06:01:45.012253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:01:45.680034image/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

코드거래처명행정동법정동도로명주소도로명 참고항목새우편번호동의여부배달요일문자안내동의데이터기준일자
01002가남농협하나로마트가남읍가남읍여주시 가남읍 경충대로 1342(태평리, 농협하나로마트)12662N월,화,수,목,금Y2024-03-08
11003황제식자재마트가남읍가남읍여주시 가남읍 태평로 50(태평리, 데카마트)12662Y월,화,수,목,금Y2024-03-08
21005현진마트(가남)가남읍가남읍여주시 가남읍 경충대로 1472-19(신해리, 현진에버빌1차아파트)12655N월,화,수,목,금Y2024-03-08
31007현대공판장가남읍가남읍여주시 가남읍 태평중앙1길 8-7(태평리)12662N월,화,수,목,금Y2024-03-08
41008가남태양마트가남읍가남읍여주시 가남읍 태평로 21-1(태평리)12662N월,화,수,목,금Y2024-03-08
51012세광마트가남읍가남읍여주시 가남읍 경충대로 1162-20(심석리, 세광리치타운아파트)12661N월,화,수,목,금Y2024-03-08
61014중앙편의점(연쇄점)가남읍가남읍여주시 가남읍 태평로 37(태평리)12662N월,화,수,목,금Y2024-03-08
74001금사농협하나로마트금사면금사면여주시 금사면 이여로 1401(이포리, 금사농협)12604N월,화,수,목,금Y2024-03-08
84003천양철물건재금사면금사면여주시 금사면 이포로 57(이포리)12604Y월,화,수,목,금Y2024-03-08
94004주록휴게소매점금사면금사면여주시 금사면 금품2로 484(주록리)12604Y월,화,수,목,금Y2024-03-08
코드거래처명행정동법정동도로명주소도로명 참고항목새우편번호동의여부배달요일문자안내동의데이터기준일자
32213004GS25남여주IC점세종대왕면세종대왕면여주시 세종대왕면 여주남로 371(오계리)12646N월,화,수,목,금N2024-03-08
32312060GS25 여주여양로점오학동오학동여주시 여양로 292(오학동)12636Y월,화,수,목,금Y2024-03-08
32413005세븐일레븐 여주마장교차로점세종대왕면세종대왕면여주시 세종대왕면 마장로 122(신지리)12641Y월,화,수,목,금Y2024-03-08
32511115GS25 여주프리미엄점중앙동월송동여주시 우암로 166(월송동)12644Y월,화,수,목,금Y2024-03-08
32611116씨유 여주세종타운점중앙동하동여주시 여흥로4번길 15-11(하동)12618Y월,화,수,목,금Y2024-03-08
32711117세븐일레븐 여주하동원룸점중앙동하동여주시 소양로27번길 10(하동)12624Y월,화,수,목,금Y2024-03-08
32811118장봐주는언니 여주교동2호점중앙동교동여주시 세종로214번길 47(교동)12652Y월,화,수,목,금Y2024-03-08
32910142GS25 여주대행복점여흥동점봉동여주시 세종로 356-3(점봉동)12653Y월,화,수,목,금Y2024-03-08
3306027GS25 여주여양점대신면대신면여주시 대신면 여양1로 9(천서리)12608Y월,화,수,목,금Y2024-03-08
33111119GS25 여주힐링점중앙동교동여주시 향교로 36(교동)12644Y월,화,수,목,금Y2024-03-08