Overview

Dataset statistics

Number of variables17
Number of observations1078
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory147.5 KiB
Average record size in memory140.1 B

Variable types

Text3
Categorical9
Numeric4
Boolean1

Dataset

Description우체국에서 국제특급 발송을 위한 발송조건 데이터(우체국 EMS 발송시 필요한 조건을 데이터화 하여 발송에 편의를 제공하기 위함)
Author과학기술정보통신부 우정사업본부
URLhttps://www.data.go.kr/data/15104318/fileData.do

Alerts

기록배달취급 has constant value ""Constant
제한중량 is highly overall correlated with 보관일수High correlation
보관일수 is highly overall correlated with 제한중량 and 1 other fieldsHigh correlation
우편물종류 is highly overall correlated with 속달취급 and 3 other fieldsHigh correlation
속달취급 is highly overall correlated with 우편물종류High correlation
세관신고서첨부위치 is highly overall correlated with 우편물종류High correlation
주소변경취급 is highly overall correlated with 우편물종류High correlation
수취인부담취급 is highly overall correlated with 보관일수 and 1 other fieldsHigh correlation
운송편 is highly imbalanced (69.0%)Imbalance
취급주의소포취급 is highly imbalanced (66.4%)Imbalance
보험한도금액 has 717 (66.5%) zerosZeros
세관신고서매수 has 85 (7.9%) zerosZeros
보관일수 has 91 (8.4%) zerosZeros

Reproduction

Analysis started2024-04-17 18:10:40.654940
Analysis finished2024-04-17 18:10:43.221795
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국가코드
Text

Distinct229
Distinct (%)21.3%
Missing4
Missing (%)0.4%
Memory size8.6 KiB
2024-04-18T03:10:43.477405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2148
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowAD
2nd rowAD
3rd rowAD
4th rowAD
5th rowAE
ValueCountFrequency (%)
us 10
 
0.9%
cn 10
 
0.9%
gb 9
 
0.8%
fr 9
 
0.8%
ie 9
 
0.8%
nl 9
 
0.8%
es 9
 
0.8%
de 9
 
0.8%
pl 9
 
0.8%
se 9
 
0.8%
Other values (219) 982
91.4%
2024-04-18T03:10:43.868021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 151
 
7.0%
C 128
 
6.0%
A 126
 
5.9%
T 125
 
5.8%
G 124
 
5.8%
S 119
 
5.5%
N 115
 
5.4%
E 111
 
5.2%
B 106
 
4.9%
R 96
 
4.5%
Other values (16) 947
44.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2148
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 151
 
7.0%
C 128
 
6.0%
A 126
 
5.9%
T 125
 
5.8%
G 124
 
5.8%
S 119
 
5.5%
N 115
 
5.4%
E 111
 
5.2%
B 106
 
4.9%
R 96
 
4.5%
Other values (16) 947
44.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 2148
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 151
 
7.0%
C 128
 
6.0%
A 126
 
5.9%
T 125
 
5.8%
G 124
 
5.8%
S 119
 
5.5%
N 115
 
5.4%
E 111
 
5.2%
B 106
 
4.9%
R 96
 
4.5%
Other values (16) 947
44.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 151
 
7.0%
C 128
 
6.0%
A 126
 
5.9%
T 125
 
5.8%
G 124
 
5.8%
S 119
 
5.5%
N 115
 
5.4%
E 111
 
5.2%
B 106
 
4.9%
R 96
 
4.5%
Other values (16) 947
44.1%

국가명
Text

Distinct230
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-04-18T03:10:44.142361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.9443414
Min length2

Characters and Unicode

Total characters5330
Distinct characters214
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row안도라
2nd row안도라
3rd row안도라
4th row안도라
5th row아랍에미리트연합국
ValueCountFrequency (%)
미국 10
 
0.9%
중국 10
 
0.9%
영국 9
 
0.8%
프랑스 9
 
0.8%
아일란드(에이레 9
 
0.8%
네덜란드(네델란드 9
 
0.8%
스페인(에스파니아 9
 
0.8%
독일 9
 
0.8%
폴란드 9
 
0.8%
스웨덴 9
 
0.8%
Other values (222) 994
91.5%
2024-04-18T03:10:44.497856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 311
 
5.8%
스 227
 
4.3%
) 202
 
3.8%
( 202
 
3.8%
리 172
 
3.2%
이 147
 
2.8%
국 130
 
2.4%
니 124
 
2.3%
르 122
 
2.3%
도 106
 
2.0%
Other values (204) 3587
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4910
92.1%
Close Punctuation 202
 
3.8%
Open Punctuation 202
 
3.8%
Space Separator 8
 
0.2%
Other Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 311
 
6.3%
스 227
 
4.6%
리 172
 
3.5%
이 147
 
3.0%
국 130
 
2.6%
니 124
 
2.5%
르 122
 
2.5%
도 106
 
2.2%
라 104
 
2.1%
드 85
 
1.7%
Other values (199) 3382
68.9%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
, 4
50.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4910
92.1%
Common 420
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 311
 
6.3%
스 227
 
4.6%
리 172
 
3.5%
이 147
 
3.0%
국 130
 
2.6%
니 124
 
2.5%
르 122
 
2.5%
도 106
 
2.2%
라 104
 
2.1%
드 85
 
1.7%
Other values (199) 3382
68.9%
Common
ValueCountFrequency (%)
) 202
48.1%
( 202
48.1%
8
 
1.9%
/ 4
 
1.0%
, 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4910
92.1%
ASCII 420
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 311
 
6.3%
스 227
 
4.6%
리 172
 
3.5%
이 147
 
3.0%
국 130
 
2.6%
니 124
 
2.5%
르 122
 
2.5%
도 106
 
2.2%
라 104
 
2.1%
드 85
 
1.7%
Other values (199) 3382
68.9%
ASCII
ValueCountFrequency (%)
) 202
48.1%
( 202
48.1%
8
 
1.9%
/ 4
 
1.0%
, 4
 
1.0%

우편물종류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
통상
252 
소포
227 
K-PACKET
216 
EMSP
209 
EMS
102 
Other values (3)
72 

Length

Max length8
Median length6
Mean length3.9183673
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row통상
2nd rowK-PACKET
3rd row소포
4th rowEMSP
5th row통상

Common Values

ValueCountFrequency (%)
통상 252
23.4%
소포 227
21.1%
K-PACKET 216
20.0%
EMSP 209
19.4%
EMS 102
9.5%
EMSP특송 54
 
5.0%
<NA> 14
 
1.3%
국제물류 4
 
0.4%

Length

2024-04-18T03:10:44.616505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:44.707806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통상 252
23.4%
소포 227
21.1%
k-packet 216
20.0%
emsp 209
19.4%
ems 102
9.5%
emsp특송 54
 
5.0%
na 14
 
1.3%
국제물류 4
 
0.4%

운송편
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
항공
1018 
선편
 
60

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
항공 1018
94.4%
선편 60
 
5.6%

Length

2024-04-18T03:10:44.824763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:44.898362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항공 1018
94.4%
선편 60
 
5.6%

요금적용지역
Categorical

Distinct31
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
4
407 
3
374 
5
101 
2
59 
1
 
32
Other values (26)
105 

Length

Max length2
Median length1
Mean length1.0602968
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row3
2nd row3
3rd row3
4th row5
5th row3

Common Values

ValueCountFrequency (%)
4 407
37.8%
3 374
34.7%
5 101
 
9.4%
2 59
 
5.5%
1 32
 
3.0%
8 16
 
1.5%
6 14
 
1.3%
7 7
 
0.6%
CN 5
 
0.5%
US 5
 
0.5%
Other values (21) 58
 
5.4%

Length

2024-04-18T03:10:44.973865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 407
37.8%
3 374
34.7%
5 101
 
9.4%
2 59
 
5.5%
1 32
 
3.0%
8 16
 
1.5%
6 14
 
1.3%
7 7
 
0.6%
us 5
 
0.5%
cn 5
 
0.5%
Other values (21) 58
 
5.4%

제한중량
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103059.83
Minimum500
Maximum2000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T03:10:45.054909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile2000
Q12000
median20000
Q330000
95-th percentile172000
Maximum2000000
Range1999500
Interquartile range (IQR)28000

Descriptive statistics

Standard deviation369548.6
Coefficient of variation (CV)3.5857675
Kurtosis18.704824
Mean103059.83
Median Absolute Deviation (MAD)18000
Skewness4.4583812
Sum1.110985 × 108
Variance1.3656617 × 1011
MonotonicityNot monotonic
2024-04-18T03:10:45.144450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2000 460
42.7%
20000 224
20.8%
70000 164
 
15.2%
30000 103
 
9.6%
31500 35
 
3.2%
2000000 29
 
2.7%
10000 24
 
2.2%
1500000 13
 
1.2%
500 8
 
0.7%
1000000 7
 
0.6%
Other values (7) 11
 
1.0%
ValueCountFrequency (%)
500 8
 
0.7%
2000 460
42.7%
10000 24
 
2.2%
15000 1
 
0.1%
20000 224
20.8%
30000 103
 
9.6%
31500 35
 
3.2%
35000 2
 
0.2%
50000 3
 
0.3%
70000 164
 
15.2%
ValueCountFrequency (%)
2000000 29
 
2.7%
1500000 13
 
1.2%
1200000 2
 
0.2%
1000000 7
 
0.6%
997000 1
 
0.1%
900000 1
 
0.1%
750000 1
 
0.1%
70000 164
15.2%
50000 3
 
0.3%
35000 2
 
0.2%

속달취급
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
취급안함
756 
취급
318 
비고참조
 
4

Length

Max length4
Median length4
Mean length3.4100186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취급
2nd row취급
3rd row취급안함
4th row취급안함
5th row취급안함

Common Values

ValueCountFrequency (%)
취급안함 756
70.1%
취급 318
29.5%
비고참조 4
 
0.4%

Length

2024-04-18T03:10:45.269909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:45.349044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취급안함 756
70.1%
취급 318
29.5%
비고참조 4
 
0.4%

보험취급
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
취급
684 
취급안함
362 
비고참조
 
32

Length

Max length4
Median length2
Mean length2.7309833
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취급
2nd row취급
3rd row취급안함
4th row취급
5th row취급

Common Values

ValueCountFrequency (%)
취급 684
63.5%
취급안함 362
33.6%
비고참조 32
 
3.0%

Length

2024-04-18T03:10:45.436207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:45.520613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취급 684
63.5%
취급안함 362
33.6%
비고참조 32
 
3.0%

보험한도금액
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)8.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean690.09935
Minimum0
Maximum12540
Zeros717
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T03:10:45.617422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3512
95-th percentile4000
Maximum12540
Range12540
Interquartile range (IQR)512

Descriptive statistics

Standard deviation1450.3531
Coefficient of variation (CV)2.1016584
Kurtosis12.683698
Mean690.09935
Median Absolute Deviation (MAD)0
Skewness2.8678411
Sum743237
Variance2103524.2
MonotonicityNot monotonic
2024-04-18T03:10:45.724422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 717
66.5%
4000 114
 
10.6%
1000 29
 
2.7%
703 10
 
0.9%
2000 8
 
0.7%
500 7
 
0.6%
400 7
 
0.6%
1633 6
 
0.6%
200 6
 
0.6%
300 5
 
0.5%
Other values (82) 168
 
15.6%
ValueCountFrequency (%)
0 717
66.5%
14 1
 
0.1%
21 1
 
0.1%
26 2
 
0.2%
30 5
 
0.5%
37 2
 
0.2%
44 1
 
0.1%
49 1
 
0.1%
55 2
 
0.2%
58 2
 
0.2%
ValueCountFrequency (%)
12540 3
 
0.3%
4000 114
10.6%
3775 2
 
0.2%
3633 2
 
0.2%
3475 5
 
0.5%
3448 2
 
0.2%
3437 1
 
0.1%
3266 5
 
0.5%
2900 2
 
0.2%
2800 1
 
0.1%

세관신고서매수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2040816
Minimum0
Maximum5
Zeros85
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T03:10:45.814502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7307429
Coefficient of variation (CV)0.60688817
Kurtosis5.7117565
Mean1.2040816
Median Absolute Deviation (MAD)0
Skewness1.8087829
Sum1298
Variance0.53398518
MonotonicityNot monotonic
2024-04-18T03:10:45.888544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 775
71.9%
2 152
 
14.1%
0 85
 
7.9%
3 52
 
4.8%
5 7
 
0.6%
4 7
 
0.6%
ValueCountFrequency (%)
0 85
 
7.9%
1 775
71.9%
2 152
 
14.1%
3 52
 
4.8%
4 7
 
0.6%
5 7
 
0.6%
ValueCountFrequency (%)
5 7
 
0.6%
4 7
 
0.6%
3 52
 
4.8%
2 152
 
14.1%
1 775
71.9%
0 85
 
7.9%

세관신고서첨부위치
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
외부
576 
별도규정없음
400 
내부
102 

Length

Max length6
Median length2
Mean length3.4842301
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외부
2nd row외부
3rd row별도규정없음
4th row외부
5th row외부

Common Values

ValueCountFrequency (%)
외부 576
53.4%
별도규정없음 400
37.1%
내부 102
 
9.5%

Length

2024-04-18T03:10:45.985560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:46.070115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외부 576
53.4%
별도규정없음 400
37.1%
내부 102
 
9.5%

주소변경취급
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
취급
699 
취급안함
379 

Length

Max length4
Median length2
Mean length2.703154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취급 699
64.8%
취급안함 379
35.2%

Length

2024-04-18T03:10:46.157584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:46.236362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취급 699
64.8%
취급안함 379
35.2%

기재문자내역
Text

Distinct104
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-04-18T03:10:46.389226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length1
Mean length2.3710575
Min length1

Characters and Unicode

Total characters2556
Distinct characters64
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)3.2%

Sample

1st row불,서
2nd row불,서
3rd row불,서
4th row영
5th row영,아랍
ValueCountFrequency (%)
영 548
50.7%
불 88
 
8.1%
영,불 61
 
5.6%
영,아랍 33
 
3.1%
불,서 31
 
2.9%
불,영 25
 
2.3%
불,노 17
 
1.6%
불,포 17
 
1.6%
불,서,영 14
 
1.3%
불,아랍 13
 
1.2%
Other values (92) 234
21.6%
2024-04-18T03:10:46.673525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 876
34.3%
, 602
23.6%
불 446
17.4%
서 84
 
3.3%
아 69
 
2.7%
독 69
 
2.7%
랍 56
 
2.2%
노 55
 
2.2%
27
 
1.1%
포 26
 
1.0%
Other values (54) 246
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1927
75.4%
Other Punctuation 602
 
23.6%
Space Separator 27
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 876
45.5%
불 446
23.1%
서 84
 
4.4%
아 69
 
3.6%
독 69
 
3.6%
랍 56
 
2.9%
노 55
 
2.9%
포 26
 
1.3%
이 24
 
1.2%
한 20
 
1.0%
Other values (52) 202
 
10.5%
Other Punctuation
ValueCountFrequency (%)
, 602
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1927
75.4%
Common 629
 
24.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 876
45.5%
불 446
23.1%
서 84
 
4.4%
아 69
 
3.6%
독 69
 
3.6%
랍 56
 
2.9%
노 55
 
2.9%
포 26
 
1.3%
이 24
 
1.2%
한 20
 
1.0%
Other values (52) 202
 
10.5%
Common
ValueCountFrequency (%)
, 602
95.7%
27
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1927
75.4%
ASCII 629
 
24.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 876
45.5%
불 446
23.1%
서 84
 
4.4%
아 69
 
3.6%
독 69
 
3.6%
랍 56
 
2.9%
노 55
 
2.9%
포 26
 
1.3%
이 24
 
1.2%
한 20
 
1.0%
Other values (52) 202
 
10.5%
ASCII
ValueCountFrequency (%)
, 602
95.7%
27
 
4.3%

수취인부담취급
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
취급안함
903 
취급
175 

Length

Max length4
Median length4
Mean length3.6753247
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취급안함
2nd row취급안함
3rd row취급안함
4th row취급
5th row취급안함

Common Values

ValueCountFrequency (%)
취급안함 903
83.8%
취급 175
 
16.2%

Length

2024-04-18T03:10:46.782364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:46.857448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취급안함 903
83.8%
취급 175
 
16.2%

보관일수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.135436
Minimum0
Maximum90
Zeros91
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-04-18T03:10:46.928310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median15
Q330
95-th percentile60
Maximum90
Range90
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.534543
Coefficient of variation (CV)0.78231379
Kurtosis1.8933808
Mean21.135436
Median Absolute Deviation (MAD)15
Skewness1.2061906
Sum22784
Variance273.39111
MonotonicityNot monotonic
2024-04-18T03:10:47.019992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
30 365
33.9%
7 249
23.1%
15 130
 
12.1%
0 91
 
8.4%
60 78
 
7.2%
14 64
 
5.9%
21 27
 
2.5%
10 14
 
1.3%
28 10
 
0.9%
90 8
 
0.7%
Other values (15) 42
 
3.9%
ValueCountFrequency (%)
0 91
 
8.4%
2 1
 
0.1%
3 3
 
0.3%
4 1
 
0.1%
5 7
 
0.6%
7 249
23.1%
8 1
 
0.1%
10 14
 
1.3%
12 4
 
0.4%
14 64
 
5.9%
ValueCountFrequency (%)
90 8
 
0.7%
60 78
 
7.2%
45 5
 
0.5%
42 3
 
0.3%
40 2
 
0.2%
36 1
 
0.1%
30 365
33.9%
29 1
 
0.1%
28 10
 
0.9%
25 2
 
0.2%

기록배달취급
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1078 
ValueCountFrequency (%)
False 1078
100.0%
2024-04-18T03:10:47.091764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

취급주의소포취급
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
취급안함
1011 
취급
 
67

Length

Max length4
Median length4
Mean length3.8756957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취급안함 1011
93.8%
취급 67
 
6.2%

Length

2024-04-18T03:10:47.170142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:10:47.249961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취급안함 1011
93.8%
취급 67
 
6.2%

Interactions

2024-04-18T03:10:42.343434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.491379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.785821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.072421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.416569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.571437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.866500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.146025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.481454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.643965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.938044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.214499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.553638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:41.717112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.006578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:10:42.278630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T03:10:47.302089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편물종류운송편요금적용지역제한중량속달취급보험취급보험한도금액세관신고서매수세관신고서첨부위치주소변경취급수취인부담취급보관일수취급주의소포취급
우편물종류1.0000.2360.7920.6320.6240.4630.2380.6180.7840.5850.8150.7850.460
운송편0.2361.0000.2880.0000.0260.0380.0910.0560.0380.0540.1510.1180.000
요금적용지역0.7920.2881.0000.7520.4830.4820.5170.5960.4560.4380.5510.5160.066
제한중량0.6320.0000.7521.0000.2850.1570.0000.7330.4350.4300.1050.2110.000
속달취급0.6240.0260.4830.2851.0000.4790.2760.3960.7020.1120.1660.4410.098
보험취급0.4630.0380.4820.1570.4791.0000.3270.2980.3310.0250.1990.4060.000
보험한도금액0.2380.0910.5170.0000.2760.3271.0000.0600.0500.1140.1430.2810.122
세관신고서매수0.6180.0560.5960.7330.3960.2980.0601.0000.5990.5430.3560.3750.097
세관신고서첨부위치0.7840.0380.4560.4350.7020.3310.0500.5991.0000.2930.2510.3570.203
주소변경취급0.5850.0540.4380.4300.1120.0250.1140.5430.2931.0000.4670.0580.000
수취인부담취급0.8150.1510.5510.1050.1660.1990.1430.3560.2510.4671.0000.5740.162
보관일수0.7850.1180.5160.2110.4410.4060.2810.3750.3570.0580.5741.0000.127
취급주의소포취급0.4600.0000.0660.0000.0980.0000.1220.0970.2030.0000.1620.1271.000
2024-04-18T03:10:47.412297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운송편속달취급요금적용지역세관신고서첨부위치수취인부담취급우편물종류주소변경취급취급주의소포취급보험취급
운송편1.0000.0420.2410.0640.0970.2520.0340.0000.063
속달취급0.0421.0000.2760.3590.2730.5210.1850.1620.190
요금적용지역0.2410.2761.0000.2570.4660.4750.3690.0550.276
세관신고서첨부위치0.0640.3590.2571.0000.4090.7270.4730.3330.114
수취인부담취급0.0970.2730.4660.4091.0000.8820.3100.1040.326
우편물종류0.2520.5210.4750.7270.8821.0000.6270.4920.351
주소변경취급0.0340.1850.3690.4730.3100.6271.0000.0000.041
취급주의소포취급0.0000.1620.0550.3330.1040.4920.0001.0000.000
보험취급0.0630.1900.2760.1140.3260.3510.0410.0001.000
2024-04-18T03:10:47.521250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제한중량보험한도금액세관신고서매수보관일수우편물종류운송편요금적용지역속달취급보험취급세관신고서첨부위치주소변경취급수취인부담취급취급주의소포취급
제한중량1.000-0.433-0.441-0.7620.4420.0000.4450.1230.0670.2000.3040.0750.000
보험한도금액-0.4331.0000.1610.3540.1540.1120.2700.2160.2610.0370.1390.1740.149
세관신고서매수-0.4410.1611.0000.4200.4280.0400.3070.1780.1290.3030.3920.2550.070
보관일수-0.7620.3540.4201.0000.3810.1300.2420.3290.2990.2560.0610.6160.133
우편물종류0.4420.1540.4280.3811.0000.2520.4750.5210.3510.7270.6270.8820.492
운송편0.0000.1120.0400.1300.2521.0000.2410.0420.0630.0640.0340.0970.000
요금적용지역0.4450.2700.3070.2420.4750.2411.0000.2760.2760.2570.3690.4660.055
속달취급0.1230.2160.1780.3290.5210.0420.2761.0000.1900.3590.1850.2730.162
보험취급0.0670.2610.1290.2990.3510.0630.2760.1901.0000.1140.0410.3260.000
세관신고서첨부위치0.2000.0370.3030.2560.7270.0640.2570.3590.1141.0000.4730.4090.333
주소변경취급0.3040.1390.3920.0610.6270.0340.3690.1850.0410.4731.0000.3100.000
수취인부담취급0.0750.1740.2550.6160.8820.0970.4660.2730.3260.4090.3101.0000.104
취급주의소포취급0.0000.1490.0700.1330.4920.0000.0550.1620.0000.3330.0000.1041.000

Missing values

2024-04-18T03:10:42.919392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:10:43.079780image/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.
2024-04-18T03:10:43.179484image/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

국가코드국가명우편물종류운송편요금적용지역제한중량속달취급보험취급보험한도금액세관신고서매수세관신고서첨부위치주소변경취급기재문자내역수취인부담취급보관일수기록배달취급취급주의소포취급
0AD안도라통상항공32000취급취급3001외부취급불,서취급안함15N취급안함
1AD안도라K-PACKET항공32000취급취급3001외부취급불,서취급안함15N취급안함
2AD안도라소포항공320000취급안함취급안함01별도규정없음취급불,서취급안함0N취급안함
3AD안도라EMSP항공570000취급안함취급01외부취급영취급7N취급안함
4AE아랍에미리트연합국통상항공32000취급안함취급40001외부취급영,아랍취급안함30N취급안함
5AE아랍에미리트연합국K-PACKET항공32000취급안함취급40001외부취급영,아랍취급안함30N취급안함
6AE아랍에미리트연합국소포항공320000취급안함취급40001별도규정없음취급안함영,아랍취급안함30N취급안함
7AE아랍에미리트연합국EMS항공330000취급안함취급01별도규정없음취급안함영,아랍취급안함15N취급안함
8AE아랍에미리트연합국EMSP항공370000취급안함취급01외부취급영취급7N취급안함
9AE아랍에미리트연합국EMSP특송항공82000000취급안함취급00별도규정없음취급안함영취급안함0N취급안함
국가코드국가명우편물종류운송편요금적용지역제한중량속달취급보험취급보험한도금액세관신고서매수세관신고서첨부위치주소변경취급기재문자내역수취인부담취급보관일수기록배달취급취급주의소포취급
1068ZA남아프리카공화국소포선편420000취급안함취급안함02별도규정없음취급영취급안함21N취급
1069ZA남아프리카공화국EMSP항공570000취급안함취급01외부취급영취급7N취급안함
1070ZM잠비아통상항공42000취급안함취급303외부취급영취급안함21N취급안함
1071ZM잠비아K-PACKET항공42000취급안함취급303외부취급영취급안함21N취급안함
1072ZM잠비아소포항공420000취급안함취급안함01별도규정없음취급영취급안함14N취급안함
1073ZM잠비아EMS항공430000취급안함취급01별도규정없음취급안함영취급안함15N취급안함
1074ZM잠비아EMSP항공470000취급안함취급01외부취급영취급안함7N취급안함
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