Overview

Dataset statistics

Number of variables11
Number of observations220
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory93.6 B

Variable types

DateTime2
Text2
Categorical2
Numeric5

Dataset

Description수산물 수출입정보는 국내에 수출 및 수입되는 수산물에 대한 월별 통계정보로 관세청에서 보유한 데이터를 집계하여 제공하는 데이터로 국가별 수출입정보를 제공하는 목록입니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15102779/fileData.do

Alerts

기준년월 has constant value ""Constant
데이터기준일자 has constant value ""Constant
수출입구분명 is highly overall correlated with 수출입구분코드High correlation
수출입구분코드 is highly overall correlated with 수출입구분명High correlation
순위 is highly overall correlated with 당월수출입중량(킬로그램) and 3 other fieldsHigh correlation
당월수출입중량(킬로그램) is highly overall correlated with 순위 and 3 other fieldsHigh correlation
당월수출입미화금액(달러) is highly overall correlated with 순위 and 3 other fieldsHigh correlation
당해누계수출입중량(킬로그램) is highly overall correlated with 순위 and 3 other fieldsHigh correlation
당해누계수출입미화금액(달러) is highly overall correlated with 순위 and 3 other fieldsHigh correlation
당해누계수출입미화금액(달러) has unique valuesUnique
당월수출입중량(킬로그램) has 27 (12.3%) zerosZeros
당월수출입미화금액(달러) has 27 (12.3%) zerosZeros

Reproduction

Analysis started2024-04-21 02:08:33.248099
Analysis finished2024-04-21 02:08:38.125317
Duration4.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2024-02-01 00:00:00
Maximum2024-02-01 00:00:00
2024-04-21T11:08:38.181447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:38.278397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

국가코드
Text

Distinct139
Distinct (%)63.5%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-04-21T11:08:38.593804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters438
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

Unique59 ?
Unique (%)26.9%

Sample

1st rowJP
2nd rowCN
3rd rowUS
4th rowTH
5th rowVN
ValueCountFrequency (%)
jp 2
 
0.9%
bg 2
 
0.9%
tv 2
 
0.9%
cn 2
 
0.9%
mu 2
 
0.9%
lv 2
 
0.9%
uz 2
 
0.9%
la 2
 
0.9%
gr 2
 
0.9%
in 2
 
0.9%
Other values (129) 199
90.9%
2024-04-21T11:08:39.021108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 28
 
6.4%
G 27
 
6.2%
A 27
 
6.2%
T 27
 
6.2%
S 26
 
5.9%
E 25
 
5.7%
M 25
 
5.7%
L 21
 
4.8%
C 21
 
4.8%
R 21
 
4.8%
Other values (16) 190
43.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 438
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 28
 
6.4%
G 27
 
6.2%
A 27
 
6.2%
T 27
 
6.2%
S 26
 
5.9%
E 25
 
5.7%
M 25
 
5.7%
L 21
 
4.8%
C 21
 
4.8%
R 21
 
4.8%
Other values (16) 190
43.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 438
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 28
 
6.4%
G 27
 
6.2%
A 27
 
6.2%
T 27
 
6.2%
S 26
 
5.9%
E 25
 
5.7%
M 25
 
5.7%
L 21
 
4.8%
C 21
 
4.8%
R 21
 
4.8%
Other values (16) 190
43.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 28
 
6.4%
G 27
 
6.2%
A 27
 
6.2%
T 27
 
6.2%
S 26
 
5.9%
E 25
 
5.7%
M 25
 
5.7%
L 21
 
4.8%
C 21
 
4.8%
R 21
 
4.8%
Other values (16) 190
43.4%

수출입구분코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
E
115 
I
105 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
E 115
52.3%
I 105
47.7%

Length

2024-04-21T11:08:39.168727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:08:39.262426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 115
52.3%
i 105
47.7%

순위
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.613636
Minimum1
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-21T11:08:39.372758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q128
median55.5
Q383
95-th percentile105
Maximum115
Range114
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.021836
Coefficient of variation (CV)0.57579109
Kurtosis-1.1707515
Mean55.613636
Median Absolute Deviation (MAD)27.5
Skewness0.021138896
Sum12235
Variance1025.398
MonotonicityNot monotonic
2024-04-21T11:08:39.510212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
0.9%
80 2
 
0.9%
78 2
 
0.9%
77 2
 
0.9%
76 2
 
0.9%
75 2
 
0.9%
74 2
 
0.9%
73 2
 
0.9%
72 2
 
0.9%
71 2
 
0.9%
Other values (105) 200
90.9%
ValueCountFrequency (%)
1 2
0.9%
2 2
0.9%
3 2
0.9%
4 2
0.9%
5 2
0.9%
6 2
0.9%
7 2
0.9%
8 2
0.9%
9 2
0.9%
10 2
0.9%
ValueCountFrequency (%)
115 1
0.5%
114 1
0.5%
113 1
0.5%
112 1
0.5%
111 1
0.5%
110 1
0.5%
109 1
0.5%
108 1
0.5%
107 1
0.5%
106 1
0.5%

국가명
Text

Distinct140
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-21T11:08:39.892484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.6409091
Min length1

Characters and Unicode

Total characters801
Distinct characters153
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

Unique60 ?
Unique (%)27.3%

Sample

1st row일본
2nd row중국
3rd row미국
4th row태국
5th row베트남
ValueCountFrequency (%)
일본 2
 
0.9%
불가리아 2
 
0.9%
투발루 2
 
0.9%
중국 2
 
0.9%
모리셔스 2
 
0.9%
라트비아 2
 
0.9%
우즈베크 2
 
0.9%
라오스 2
 
0.9%
그리스 2
 
0.9%
인디아 2
 
0.9%
Other values (130) 200
90.9%
2024-04-21T11:08:40.393190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 74
 
9.2%
리 35
 
4.4%
이 29
 
3.6%
스 27
 
3.4%
라 24
 
3.0%
르 18
 
2.2%
니 17
 
2.1%
나 16
 
2.0%
카 14
 
1.7%
트 14
 
1.7%
Other values (143) 533
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 74
 
9.2%
리 35
 
4.4%
이 29
 
3.6%
스 27
 
3.4%
라 24
 
3.0%
르 18
 
2.2%
니 17
 
2.1%
나 16
 
2.0%
카 14
 
1.7%
트 14
 
1.7%
Other values (143) 533
66.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 74
 
9.2%
리 35
 
4.4%
이 29
 
3.6%
스 27
 
3.4%
라 24
 
3.0%
르 18
 
2.2%
니 17
 
2.1%
나 16
 
2.0%
카 14
 
1.7%
트 14
 
1.7%
Other values (143) 533
66.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 74
 
9.2%
리 35
 
4.4%
이 29
 
3.6%
스 27
 
3.4%
라 24
 
3.0%
르 18
 
2.2%
니 17
 
2.1%
나 16
 
2.0%
카 14
 
1.7%
트 14
 
1.7%
Other values (143) 533
66.5%

수출입구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
수출
115 
수입
105 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수출 115
52.3%
수입 105
47.7%

Length

2024-04-21T11:08:40.527311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:08:40.650873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수출 115
52.3%
수입 105
47.7%

당월수출입중량(킬로그램)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct189
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2882244.3
Minimum0
Maximum3.3751903 × 108
Zeros27
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-21T11:08:41.054749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1220.75
median26271
Q3206091.5
95-th percentile4058272.9
Maximum3.3751903 × 108
Range3.3751903 × 108
Interquartile range (IQR)205870.75

Descriptive statistics

Standard deviation24145867
Coefficient of variation (CV)8.3774534
Kurtosis171.73438
Mean2882244.3
Median Absolute Deviation (MAD)26271
Skewness12.670781
Sum6.3409374 × 108
Variance5.8302291 × 1014
MonotonicityNot monotonic
2024-04-21T11:08:41.221546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
12.3%
15 3
 
1.4%
1 2
 
0.9%
43 2
 
0.9%
20 2
 
0.9%
7024488 1
 
0.5%
101345 1
 
0.5%
260844 1
 
0.5%
331788 1
 
0.5%
211529 1
 
0.5%
Other values (179) 179
81.4%
ValueCountFrequency (%)
0 27
12.3%
1 2
 
0.9%
2 1
 
0.5%
12 1
 
0.5%
15 3
 
1.4%
18 1
 
0.5%
19 1
 
0.5%
20 2
 
0.9%
29 1
 
0.5%
30 1
 
0.5%
ValueCountFrequency (%)
337519029 1
0.5%
105703745 1
0.5%
53933707 1
0.5%
28756121 1
0.5%
13574076 1
0.5%
11505837 1
0.5%
8852261 1
0.5%
8437791 1
0.5%
8094381 1
0.5%
7024488 1
0.5%

당월수출입미화금액(달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct194
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3157363.4
Minimum0
Maximum89720882
Zeros27
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-21T11:08:41.373519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14717.25
median105329
Q3861110.75
95-th percentile15902467
Maximum89720882
Range89720882
Interquartile range (IQR)856393.5

Descriptive statistics

Standard deviation11219481
Coefficient of variation (CV)3.5534336
Kurtosis30.866947
Mean3157363.4
Median Absolute Deviation (MAD)105329
Skewness5.2925657
Sum6.9461994 × 108
Variance1.2587675 × 1014
MonotonicityNot monotonic
2024-04-21T11:08:41.524762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
12.3%
46939050 1
 
0.5%
1037183 1
 
0.5%
1321898 1
 
0.5%
983687 1
 
0.5%
1065527 1
 
0.5%
1842673 1
 
0.5%
771577 1
 
0.5%
728183 1
 
0.5%
470003 1
 
0.5%
Other values (184) 184
83.6%
ValueCountFrequency (%)
0 27
12.3%
15 1
 
0.5%
29 1
 
0.5%
67 1
 
0.5%
100 1
 
0.5%
144 1
 
0.5%
146 1
 
0.5%
212 1
 
0.5%
284 1
 
0.5%
299 1
 
0.5%
ValueCountFrequency (%)
89720882 1
0.5%
79682181 1
0.5%
56239861 1
0.5%
54387874 1
0.5%
46939050 1
0.5%
39961493 1
0.5%
39800904 1
0.5%
39008108 1
0.5%
19587471 1
0.5%
19290228 1
0.5%

당해누계수출입중량(킬로그램)
Real number (ℝ)

HIGH CORRELATION 

Distinct215
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5640629.5
Minimum0
Maximum6.2128691 × 108
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-21T11:08:41.660939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.8
Q11838.5
median60040
Q3430109.25
95-th percentile9492795
Maximum6.2128691 × 108
Range6.2128691 × 108
Interquartile range (IQR)428270.75

Descriptive statistics

Standard deviation44755050
Coefficient of variation (CV)7.934407
Kurtosis166.47035
Mean5640629.5
Median Absolute Deviation (MAD)59977.5
Skewness12.407128
Sum1.2409385 × 109
Variance2.0030145 × 1015
MonotonicityNot monotonic
2024-04-21T11:08:41.793332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 3
 
1.4%
1 3
 
1.4%
0 2
 
0.9%
360597 1
 
0.5%
10455259 1
 
0.5%
792871 1
 
0.5%
818300 1
 
0.5%
607920 1
 
0.5%
483982 1
 
0.5%
206398 1
 
0.5%
Other values (205) 205
93.2%
ValueCountFrequency (%)
0 2
0.9%
1 3
1.4%
7 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
15 3
1.4%
19 1
 
0.5%
20 1
 
0.5%
29 1
 
0.5%
30 1
 
0.5%
ValueCountFrequency (%)
621286911 1
0.5%
165064113 1
0.5%
162578796 1
0.5%
54047513 1
0.5%
27603986 1
0.5%
24550059 1
0.5%
22490506 1
0.5%
15196736 1
0.5%
14479451 1
0.5%
13367139 1
0.5%

당해누계수출입미화금액(달러)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct220
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6668474
Minimum3
Maximum2.3901932 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-21T11:08:41.936505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile390.5
Q128677.25
median270491.5
Q31910670.5
95-th percentile36142068
Maximum2.3901932 × 108
Range2.3901932 × 108
Interquartile range (IQR)1881993.2

Descriptive statistics

Standard deviation24724787
Coefficient of variation (CV)3.7077128
Kurtosis45.877055
Mean6668474
Median Absolute Deviation (MAD)266534.5
Skewness6.2358256
Sum1.4670643 × 109
Variance6.1131508 × 1014
MonotonicityNot monotonic
2024-04-21T11:08:42.093025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100090007 1
 
0.5%
1335652 1
 
0.5%
2525947 1
 
0.5%
2429160 1
 
0.5%
2317214 1
 
0.5%
2260654 1
 
0.5%
2249891 1
 
0.5%
2236538 1
 
0.5%
2041001 1
 
0.5%
1867227 1
 
0.5%
Other values (210) 210
95.5%
ValueCountFrequency (%)
3 1
0.5%
15 1
0.5%
27 1
0.5%
29 1
0.5%
100 1
0.5%
124 1
0.5%
144 1
0.5%
218 1
0.5%
299 1
0.5%
340 1
0.5%
ValueCountFrequency (%)
239019320 1
0.5%
158904540 1
0.5%
130432506 1
0.5%
100753649 1
0.5%
100090007 1
0.5%
82215109 1
0.5%
69579756 1
0.5%
41157555 1
0.5%
39152384 1
0.5%
37323429 1
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2024-02-29 00:00:00
Maximum2024-02-29 00:00:00
2024-04-21T11:08:42.208344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:42.298426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:08:37.263110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.359544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.859464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.351340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.789120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:37.344561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.511863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.939723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.441517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.892174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:37.445991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.612392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.034896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.536104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.980768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:37.552616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.695191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.125938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.616207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:37.093815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:37.703544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:35.781348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.230482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:36.694223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:08:37.180846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:08:42.420677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수출입구분코드순위수출입구분명당월수출입중량(킬로그램)당월수출입미화금액(달러)당해누계수출입중량(킬로그램)당해누계수출입미화금액(달러)
수출입구분코드1.0000.0001.0000.0590.1230.0470.074
순위0.0001.0000.0000.0000.4430.0000.420
수출입구분명1.0000.0001.0000.0590.1230.0470.074
당월수출입중량(킬로그램)0.0590.0000.0591.0000.9461.0000.897
당월수출입미화금액(달러)0.1230.4430.1230.9461.0000.7790.987
당해누계수출입중량(킬로그램)0.0470.0000.0471.0000.7791.0000.659
당해누계수출입미화금액(달러)0.0740.4200.0740.8970.9870.6591.000
2024-04-21T11:08:42.577864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수출입구분명수출입구분코드
수출입구분명1.0000.991
수출입구분코드0.9911.000
2024-04-21T11:08:42.695694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위당월수출입중량(킬로그램)당월수출입미화금액(달러)당해누계수출입중량(킬로그램)당해누계수출입미화금액(달러)수출입구분코드수출입구분명
순위1.000-0.856-0.928-0.901-0.9920.0000.000
당월수출입중량(킬로그램)-0.8561.0000.9310.9160.8670.0380.038
당월수출입미화금액(달러)-0.9280.9311.0000.8420.9370.0900.090
당해누계수출입중량(킬로그램)-0.9010.9160.8421.0000.9130.0780.078
당해누계수출입미화금액(달러)-0.9920.8670.9370.9131.0000.0540.054
수출입구분코드0.0000.0380.0900.0780.0541.0000.991
수출입구분명0.0000.0380.0900.0780.0540.9911.000

Missing values

2024-04-21T11:08:37.871892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:08:38.048711image/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

기준년월국가코드수출입구분코드순위국가명수출입구분명당월수출입중량(킬로그램)당월수출입미화금액(달러)당해누계수출입중량(킬로그램)당해누계수출입미화금액(달러)데이터기준일자
02024-02JPE1일본수출702448846939050151967361000900072024-02-29
12024-02CNE2중국수출135740763900810824550059822151092024-02-29
22024-02USE3미국수출3183508399614935926488695797562024-02-29
32024-02THE4태국수출88522611623049022490506391523842024-02-29
42024-02VNE5베트남수출80943811929022814479451373234292024-02-29
52024-02TWE6대만수출3531535100079986586122675732024-02-29
62024-02RUE7러시아수출126758469393471996155119541012024-02-29
72024-02IDE8인도네시아수출9546593994572235974095739532024-02-29
82024-02CAE9카나다수출256419483226553476790465072024-02-29
92024-02HKE10홍콩수출141085337629632196789650992024-02-29
기준년월국가코드수출입구분코드순위국가명수출입구분명당월수출입중량(킬로그램)당월수출입미화금액(달러)당해누계수출입중량(킬로그램)당해누계수출입미화금액(달러)데이터기준일자
2102024-02SOI96소말리아수입004137422024-02-29
2112024-02IRI97이란수입143159717624702024-02-29
2122024-02KWI98쿠웨이트수입1524001524002024-02-29
2132024-02NGI99나이지리아수입43519617702024-02-29
2142024-02MNI100몽고수입00103402024-02-29
2152024-02KHI101캄보디아수입12212132182024-02-29
2162024-02SEI102스웨덴수입0001242024-02-29
2172024-02PWI103팔라우수입19100191002024-02-29
2182024-02EEI104에스토니아수입1151152024-02-29
2192024-02MOI105마카오수입00032024-02-29