Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells370
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory221.0 B

Variable types

Numeric21
Text3

Dataset

Description- 제조업 중 소재, 부품, 장비의 품목을 선정, 분류 - 중간재, 부품, 소재 등의 수출입 총괄 현황을 파악하기 위한 통계(지역명, 소재부품코드명, 수입, 수출 등)
URLhttps://www.data.go.kr/data/15099627/fileData.do

Alerts

구분 has 370 (3.7%) missing valuesMissing
2013수출(달러) is highly skewed (γ1 = 31.0364276)Skewed
2013수입(달러) is highly skewed (γ1 = 30.0702423)Skewed
2014수출(달러) is highly skewed (γ1 = 30.7058429)Skewed
2014수입(달러) is highly skewed (γ1 = 29.69545975)Skewed
2015수출(달러) is highly skewed (γ1 = 30.82339505)Skewed
2015수입(달러) is highly skewed (γ1 = 30.15476011)Skewed
2016수출(달러) is highly skewed (γ1 = 30.82990645)Skewed
2016수입(달러) is highly skewed (γ1 = 30.50457424)Skewed
2017수출(달러) is highly skewed (γ1 = 30.42246228)Skewed
2017수입(달러) is highly skewed (γ1 = 30.34462058)Skewed
2018수출(달러) is highly skewed (γ1 = 29.82048219)Skewed
2018수입(달러) is highly skewed (γ1 = 30.40474804)Skewed
2019수출(달러) is highly skewed (γ1 = 30.43999953)Skewed
2019수입(달러) is highly skewed (γ1 = 30.46455301)Skewed
2020수출(달러) is highly skewed (γ1 = 30.17872723)Skewed
2020수입(달러) is highly skewed (γ1 = 30.67267407)Skewed
2021수출(달러) is highly skewed (γ1 = 29.67575324)Skewed
2021수입(달러) is highly skewed (γ1 = 30.60495134)Skewed
2022수출(달러) is highly skewed (γ1 = 29.55427263)Skewed
2022수입(달러) is highly skewed (γ1 = 30.419935)Skewed
구분 has 183 (1.8%) zerosZeros
2013수출(달러) has 1245 (12.4%) zerosZeros
2013수입(달러) has 1695 (17.0%) zerosZeros
2014수출(달러) has 1225 (12.2%) zerosZeros
2014수입(달러) has 1090 (10.9%) zerosZeros
2015수출(달러) has 1226 (12.3%) zerosZeros
2015수입(달러) has 1628 (16.3%) zerosZeros
2016수출(달러) has 1254 (12.5%) zerosZeros
2016수입(달러) has 1608 (16.1%) zerosZeros
2017수출(달러) has 1220 (12.2%) zerosZeros
2017수입(달러) has 1551 (15.5%) zerosZeros
2018수출(달러) has 1203 (12.0%) zerosZeros
2018수입(달러) has 1525 (15.2%) zerosZeros
2019수출(달러) has 1214 (12.1%) zerosZeros
2019수입(달러) has 1533 (15.3%) zerosZeros
2020수출(달러) has 1164 (11.6%) zerosZeros
2020수입(달러) has 1561 (15.6%) zerosZeros
2021수출(달러) has 1152 (11.5%) zerosZeros
2021수입(달러) has 1547 (15.5%) zerosZeros
2022수출(달러) has 1177 (11.8%) zerosZeros
2022수입(달러) has 1563 (15.6%) zerosZeros

Reproduction

Analysis started2023-12-12 13:08:48.923421
Analysis finished2023-12-12 13:08:49.523336
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)0.5%
Missing370
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean380.99657
Minimum0
Maximum907
Zeros183
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:49.596872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile101
Q1119
median332
Q3531
95-th percentile905
Maximum907
Range907
Interquartile range (IQR)412

Descriptive statistics

Standard deviation254.69885
Coefficient of variation (CV)0.66850694
Kurtosis-0.26174775
Mean380.99657
Median Absolute Deviation (MAD)199
Skewness0.8080965
Sum3668997
Variance64871.505
MonotonicityNot monotonic
2023-12-12T22:08:49.737732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 208
 
2.1%
314 202
 
2.0%
800 202
 
2.0%
312 201
 
2.0%
331 201
 
2.0%
321 201
 
2.0%
533 201
 
2.0%
402 200
 
2.0%
102 198
 
2.0%
700 197
 
2.0%
Other values (41) 7619
76.2%
(Missing) 370
 
3.7%
ValueCountFrequency (%)
0 183
1.8%
100 185
1.8%
101 188
1.9%
102 198
2.0%
103 194
1.9%
104 191
1.9%
105 170
1.7%
106 184
1.8%
107 178
1.8%
108 192
1.9%
ValueCountFrequency (%)
907 188
1.9%
906 174
1.7%
905 189
1.9%
904 193
1.9%
903 189
1.9%
902 186
1.9%
800 202
2.0%
700 197
2.0%
619 189
1.9%
600 182
1.8%

지역
Text

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:08:50.047713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.422
Min length2

Characters and Unicode

Total characters34220
Distinct characters98
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLAIA
2nd row아시아
3rd row영국
4th row멕시코
5th row대만
ValueCountFrequency (%)
중동 208
 
2.1%
기타지역 202
 
2.0%
eu(27 202
 
2.0%
네덜란드 202
 
2.0%
스페인 201
 
2.0%
스위스 201
 
2.0%
이탈리아 201
 
2.0%
브라질 201
 
2.0%
미국 200
 
2.0%
대만 198
 
2.0%
Other values (43) 7984
79.8%
2023-12-12T22:08:50.478842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 3212
 
9.4%
리 1338
 
3.9%
스 1169
 
3.4%
국 1143
 
3.3%
미 778
 
2.3%
A 764
 
2.2%
E 751
 
2.2%
시 731
 
2.1%
중 595
 
1.7%
남 569
 
1.7%
Other values (88) 23170
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29851
87.2%
Uppercase Letter 3561
 
10.4%
Decimal Number 404
 
1.2%
Close Punctuation 202
 
0.6%
Open Punctuation 202
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 3212
 
10.8%
리 1338
 
4.5%
스 1169
 
3.9%
국 1143
 
3.8%
미 778
 
2.6%
시 731
 
2.4%
중 595
 
2.0%
남 569
 
1.9%
트 565
 
1.9%
인 564
 
1.9%
Other values (73) 19187
64.3%
Uppercase Letter
ValueCountFrequency (%)
A 764
21.5%
E 751
21.1%
C 360
10.1%
O 360
10.1%
U 202
 
5.7%
I 193
 
5.4%
L 193
 
5.4%
S 189
 
5.3%
N 189
 
5.3%
D 186
 
5.2%
Decimal Number
ValueCountFrequency (%)
7 202
50.0%
2 202
50.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29851
87.2%
Latin 3561
 
10.4%
Common 808
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 3212
 
10.8%
리 1338
 
4.5%
스 1169
 
3.9%
국 1143
 
3.8%
미 778
 
2.6%
시 731
 
2.4%
중 595
 
2.0%
남 569
 
1.9%
트 565
 
1.9%
인 564
 
1.9%
Other values (73) 19187
64.3%
Latin
ValueCountFrequency (%)
A 764
21.5%
E 751
21.1%
C 360
10.1%
O 360
10.1%
U 202
 
5.7%
I 193
 
5.4%
L 193
 
5.4%
S 189
 
5.3%
N 189
 
5.3%
D 186
 
5.2%
Common
ValueCountFrequency (%)
) 202
25.0%
( 202
25.0%
7 202
25.0%
2 202
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29851
87.2%
ASCII 4369
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 3212
 
10.8%
리 1338
 
4.5%
스 1169
 
3.9%
국 1143
 
3.8%
미 778
 
2.6%
시 731
 
2.4%
중 595
 
2.0%
남 569
 
1.9%
트 565
 
1.9%
인 564
 
1.9%
Other values (73) 19187
64.3%
ASCII
ValueCountFrequency (%)
A 764
17.5%
E 751
17.2%
C 360
 
8.2%
O 360
 
8.2%
) 202
 
4.6%
( 202
 
4.6%
7 202
 
4.6%
2 202
 
4.6%
U 202
 
4.6%
I 193
 
4.4%
Other values (5) 931
21.3%

소재부품장비품목코드
Text

Distinct378
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:08:50.894044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9792
Min length1

Characters and Unicode

Total characters49792
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11090
2nd row27059
3rd row12022
4th row32034
5th row12050
ValueCountFrequency (%)
0 52
 
0.5%
14090 38
 
0.4%
27052 35
 
0.4%
21041 34
 
0.3%
21059 34
 
0.3%
15043 34
 
0.3%
22140 34
 
0.3%
22010 34
 
0.3%
11000 34
 
0.3%
22031 33
 
0.3%
Other values (368) 9638
96.4%
2023-12-12T22:08:51.497928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13062
26.2%
2 11641
23.4%
1 10138
20.4%
3 3807
 
7.6%
5 3184
 
6.4%
4 2995
 
6.0%
9 1794
 
3.6%
6 1432
 
2.9%
7 1388
 
2.8%
8 306
 
0.6%
Other values (2) 45
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49747
99.9%
Uppercase Letter 45
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13062
26.3%
2 11641
23.4%
1 10138
20.4%
3 3807
 
7.7%
5 3184
 
6.4%
4 2995
 
6.0%
9 1794
 
3.6%
6 1432
 
2.9%
7 1388
 
2.8%
8 306
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
B 25
55.6%
A 20
44.4%

Most occurring scripts

ValueCountFrequency (%)
Common 49747
99.9%
Latin 45
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13062
26.3%
2 11641
23.4%
1 10138
20.4%
3 3807
 
7.7%
5 3184
 
6.4%
4 2995
 
6.0%
9 1794
 
3.6%
6 1432
 
2.9%
7 1388
 
2.8%
8 306
 
0.6%
Latin
ValueCountFrequency (%)
B 25
55.6%
A 20
44.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13062
26.2%
2 11641
23.4%
1 10138
20.4%
3 3807
 
7.6%
5 3184
 
6.4%
4 2995
 
6.0%
9 1794
 
3.6%
6 1432
 
2.9%
7 1388
 
2.8%
8 306
 
0.6%
Other values (2) 45
 
0.1%

소재부품장비품목명
Text

Distinct346
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:08:51.873278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.8064
Min length2

Characters and Unicode

Total characters98064
Distinct characters265
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 섬유제품
2nd row기타 자동차부품
3rd row카르복실산 및 관련 유도체
4th row공기 조화장치
5th row합성고무 및 플라스틱 물질
ValueCountFrequency (%)
및 3737
 
14.2%
기타 1749
 
6.6%
부품 873
 
3.3%
산업용 430
 
1.6%
기계 334
 
1.3%
기계부품 182
 
0.7%
장비 166
 
0.6%
비철금속 158
 
0.6%
플라스틱 149
 
0.6%
제련 143
 
0.5%
Other values (455) 18458
70.0%
2023-12-12T22:08:52.444486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16464
 
16.8%
기 7521
 
7.7%
및 3737
 
3.8%
품 3664
 
3.7%
부 2505
 
2.6%
제 2114
 
2.2%
용 2014
 
2.1%
장 1877
 
1.9%
타 1799
 
1.8%
전 1622
 
1.7%
Other values (255) 54747
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79788
81.4%
Space Separator 16464
 
16.8%
Other Punctuation 1575
 
1.6%
Decimal Number 85
 
0.1%
Open Punctuation 76
 
0.1%
Close Punctuation 76
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 7521
 
9.4%
및 3737
 
4.7%
품 3664
 
4.6%
부 2505
 
3.1%
제 2114
 
2.6%
용 2014
 
2.5%
장 1877
 
2.4%
타 1799
 
2.3%
전 1622
 
2.0%
계 1553
 
1.9%
Other values (248) 51382
64.4%
Other Punctuation
ValueCountFrequency (%)
, 1427
90.6%
. 97
 
6.2%
· 51
 
3.2%
Space Separator
ValueCountFrequency (%)
16464
100.0%
Decimal Number
ValueCountFrequency (%)
1 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79788
81.4%
Common 18276
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 7521
 
9.4%
및 3737
 
4.7%
품 3664
 
4.6%
부 2505
 
3.1%
제 2114
 
2.6%
용 2014
 
2.5%
장 1877
 
2.4%
타 1799
 
2.3%
전 1622
 
2.0%
계 1553
 
1.9%
Other values (248) 51382
64.4%
Common
ValueCountFrequency (%)
16464
90.1%
, 1427
 
7.8%
. 97
 
0.5%
1 85
 
0.5%
( 76
 
0.4%
) 76
 
0.4%
· 51
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79788
81.4%
ASCII 18225
 
18.6%
None 51
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16464
90.3%
, 1427
 
7.8%
. 97
 
0.5%
1 85
 
0.5%
( 76
 
0.4%
) 76
 
0.4%
Hangul
ValueCountFrequency (%)
기 7521
 
9.4%
및 3737
 
4.7%
품 3664
 
4.6%
부 2505
 
3.1%
제 2114
 
2.6%
용 2014
 
2.5%
장 1877
 
2.4%
타 1799
 
2.3%
전 1622
 
2.0%
계 1553
 
1.9%
Other values (248) 51382
64.4%
None
ValueCountFrequency (%)
· 51
100.0%

2013수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8179
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5286341 × 108
Minimum0
Maximum2.9786626 × 1011
Zeros1245
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:52.621921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182108
median2605029.5
Q338612122
95-th percentile8.0330555 × 108
Maximum2.9786626 × 1011
Range2.9786626 × 1011
Interquartile range (IQR)38530014

Descriptive statistics

Standard deviation5.7177595 × 109
Coefficient of variation (CV)12.625793
Kurtosis1209.442
Mean4.5286341 × 108
Median Absolute Deviation (MAD)2605029.5
Skewness31.036428
Sum4.5286341 × 1012
Variance3.2692774 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:52.814137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1245
 
12.4%
7864 4
 
< 0.1%
317 3
 
< 0.1%
170 3
 
< 0.1%
24 3
 
< 0.1%
27 3
 
< 0.1%
398416 3
 
< 0.1%
290 3
 
< 0.1%
101 3
 
< 0.1%
537374 3
 
< 0.1%
Other values (8169) 8727
87.3%
ValueCountFrequency (%)
0 1245
12.4%
1 2
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
15 1
 
< 0.1%
17 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
297866257931 1
< 0.1%
203753564282 1
< 0.1%
186000401005 1
< 0.1%
183675428887 1
< 0.1%
145869498273 1
< 0.1%
107218967453 1
< 0.1%
100588485885 1
< 0.1%
99469534037 1
< 0.1%
99147063570 1
< 0.1%
89798757745 1
< 0.1%

2013수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7600
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2856042 × 108
Minimum0
Maximum1.9702957 × 1011
Zeros1695
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:52.988008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14968
median733030
Q319818510
95-th percentile6.831808 × 108
Maximum1.9702957 × 1011
Range1.9702957 × 1011
Interquartile range (IQR)19813542

Descriptive statistics

Standard deviation4.2946302 × 109
Coefficient of variation (CV)13.071051
Kurtosis1097.6642
Mean3.2856042 × 108
Median Absolute Deviation (MAD)733030
Skewness30.070242
Sum3.2856042 × 1012
Variance1.8443848 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:53.193660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1695
 
17.0%
110 8
 
0.1%
830 6
 
0.1%
14 6
 
0.1%
17 5
 
0.1%
2408 5
 
0.1%
4328 5
 
0.1%
259 5
 
0.1%
42161 5
 
0.1%
775 5
 
0.1%
Other values (7590) 8255
82.5%
ValueCountFrequency (%)
0 1695
17.0%
1 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
10 3
 
< 0.1%
11 2
 
< 0.1%
13 4
 
< 0.1%
14 6
 
0.1%
ValueCountFrequency (%)
197029574948 1
< 0.1%
189340281622 1
< 0.1%
126187568305 1
< 0.1%
122579153004 1
< 0.1%
119366537960 1
< 0.1%
101661638963 1
< 0.1%
86728696267 1
< 0.1%
83052876998 1
< 0.1%
67910041322 1
< 0.1%
64656906178 1
< 0.1%

2014수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8221
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6931769 × 108
Minimum0
Maximum3.0706443 × 1011
Zeros1225
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:53.389652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184041.5
median2713588.5
Q340932764
95-th percentile8.2142917 × 108
Maximum3.0706443 × 1011
Range3.0706443 × 1011
Interquartile range (IQR)40848722

Descriptive statistics

Standard deviation5.9030603 × 109
Coefficient of variation (CV)12.577963
Kurtosis1189.111
Mean4.6931769 × 108
Median Absolute Deviation (MAD)2713588.5
Skewness30.705843
Sum4.6931769 × 1012
Variance3.4846121 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:53.551027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1225
 
12.2%
320 5
 
0.1%
41 5
 
0.1%
9900 5
 
0.1%
26 4
 
< 0.1%
100 4
 
< 0.1%
6 3
 
< 0.1%
86 3
 
< 0.1%
21 3
 
< 0.1%
4000 3
 
< 0.1%
Other values (8211) 8740
87.4%
ValueCountFrequency (%)
0 1225
12.2%
6 3
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
12 2
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
21 3
 
< 0.1%
24 2
 
< 0.1%
26 4
 
< 0.1%
ValueCountFrequency (%)
307064428363 1
< 0.1%
203733375529 1
< 0.1%
193786976221 1
< 0.1%
190783052345 1
< 0.1%
145287701213 1
< 0.1%
107531292791 1
< 0.1%
104560493818 1
< 0.1%
103606972830 1
< 0.1%
100019215322 1
< 0.1%
92964557446 1
< 0.1%

2014수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8328
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6946347 × 108
Minimum0
Maximum2.2258308 × 1011
Zeros1090
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:53.723256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100404.25
median2676236
Q332831271
95-th percentile7.2201657 × 108
Maximum2.2258308 × 1011
Range2.2258308 × 1011
Interquartile range (IQR)32730866

Descriptive statistics

Standard deviation4.6696836 × 109
Coefficient of variation (CV)12.639094
Kurtosis1091.7147
Mean3.6946347 × 108
Median Absolute Deviation (MAD)2676236
Skewness29.69546
Sum3.6946347 × 1012
Variance2.1805945 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:53.896111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1090
 
10.9%
100 5
 
0.1%
950 5
 
0.1%
26 4
 
< 0.1%
108 4
 
< 0.1%
3669 4
 
< 0.1%
11 4
 
< 0.1%
190397 3
 
< 0.1%
1199420 3
 
< 0.1%
4687 3
 
< 0.1%
Other values (8318) 8875
88.8%
ValueCountFrequency (%)
0 1090
10.9%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 4
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
222583078526 1
< 0.1%
199914454667 1
< 0.1%
144293866752 1
< 0.1%
114927370818 1
< 0.1%
104900833506 1
< 0.1%
102581076039 1
< 0.1%
96855581169 1
< 0.1%
96621333324 1
< 0.1%
83299901124 1
< 0.1%
73399961430 1
< 0.1%

2015수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8205
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4772509 × 108
Minimum0
Maximum2.9288433 × 1011
Zeros1226
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:54.070863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174418
median2596031
Q339313649
95-th percentile8.0534341 × 108
Maximum2.9288433 × 1011
Range2.9288433 × 1011
Interquartile range (IQR)39239231

Descriptive statistics

Standard deviation5.6370809 × 109
Coefficient of variation (CV)12.590496
Kurtosis1195.32
Mean4.4772509 × 108
Median Absolute Deviation (MAD)2596031
Skewness30.823395
Sum4.4772509 × 1012
Variance3.1776681 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:54.236079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1226
 
12.3%
161 4
 
< 0.1%
2191 4
 
< 0.1%
4200 4
 
< 0.1%
298054 3
 
< 0.1%
80 3
 
< 0.1%
4665 3
 
< 0.1%
99 3
 
< 0.1%
29975 3
 
< 0.1%
1200 3
 
< 0.1%
Other values (8195) 8744
87.4%
ValueCountFrequency (%)
0 1226
12.3%
1 1
 
< 0.1%
2 1
 
< 0.1%
5 3
 
< 0.1%
7 2
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
15 3
 
< 0.1%
20 1
 
< 0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
292884332705 1
< 0.1%
198471218435 1
< 0.1%
184769845235 1
< 0.1%
182287950510 1
< 0.1%
137123933893 1
< 0.1%
104307441131 1
< 0.1%
103725149056 1
< 0.1%
96907548465 1
< 0.1%
96679408551 1
< 0.1%
81822860711 1
< 0.1%

2015수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7624
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0972498 × 108
Minimum0
Maximum1.8373374 × 1011
Zeros1628
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:54.407992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16118
median793333
Q319428066
95-th percentile6.5579835 × 108
Maximum1.8373374 × 1011
Range1.8373374 × 1011
Interquartile range (IQR)19421948

Descriptive statistics

Standard deviation3.9876534 × 109
Coefficient of variation (CV)12.87482
Kurtosis1126.1202
Mean3.0972498 × 108
Median Absolute Deviation (MAD)793333
Skewness30.15476
Sum3.0972498 × 1012
Variance1.590138 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:54.598821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1628
 
16.3%
22 7
 
0.1%
1001 6
 
0.1%
500 6
 
0.1%
89 5
 
0.1%
140 5
 
0.1%
14 5
 
0.1%
6767 5
 
0.1%
700 5
 
0.1%
191 5
 
0.1%
Other values (7614) 8323
83.2%
ValueCountFrequency (%)
0 1628
16.3%
1 3
 
< 0.1%
2 4
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 2
 
< 0.1%
14 5
 
0.1%
ValueCountFrequency (%)
183733737655 1
< 0.1%
182769355933 1
< 0.1%
118615372995 1
< 0.1%
109191599743 1
< 0.1%
91491549569 1
< 0.1%
90250274911 1
< 0.1%
76504066810 1
< 0.1%
71596229344 1
< 0.1%
68505414003 1
< 0.1%
58719598220 1
< 0.1%

2016수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8164
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2284751 × 108
Minimum0
Maximum2.75193 × 1011
Zeros1254
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:54.755026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169066.5
median2532193
Q337442910
95-th percentile7.686672 × 108
Maximum2.75193 × 1011
Range2.75193 × 1011
Interquartile range (IQR)37373844

Descriptive statistics

Standard deviation5.2604398 × 109
Coefficient of variation (CV)12.440513
Kurtosis1204.1197
Mean4.2284751 × 108
Median Absolute Deviation (MAD)2532193
Skewness30.829906
Sum4.2284751 × 1012
Variance2.7672227 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:54.922740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1254
 
12.5%
2 5
 
0.1%
5000 4
 
< 0.1%
60608 4
 
< 0.1%
246735 4
 
< 0.1%
645330 4
 
< 0.1%
3361 4
 
< 0.1%
15 4
 
< 0.1%
52373 3
 
< 0.1%
16724 3
 
< 0.1%
Other values (8154) 8711
87.1%
ValueCountFrequency (%)
0 1254
12.5%
2 5
 
0.1%
3 2
 
< 0.1%
6 3
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
13 2
 
< 0.1%
14 1
 
< 0.1%
15 4
 
< 0.1%
16 2
 
< 0.1%
ValueCountFrequency (%)
275192999987 1
< 0.1%
185600393827 1
< 0.1%
171704157610 1
< 0.1%
167999841671 1
< 0.1%
124432941239 1
< 0.1%
95698209570 1
< 0.1%
91605771575 1
< 0.1%
90891096282 1
< 0.1%
84466467082 1
< 0.1%
81346879823 1
< 0.1%

2016수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7706
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9431316 × 108
Minimum0
Maximum1.755938 × 1011
Zeros1608
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:55.073715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17076.75
median749779.5
Q318702701
95-th percentile5.8223575 × 108
Maximum1.755938 × 1011
Range1.755938 × 1011
Interquartile range (IQR)18695624

Descriptive statistics

Standard deviation3.8014705 × 109
Coefficient of variation (CV)12.916414
Kurtosis1151.0817
Mean2.9431316 × 108
Median Absolute Deviation (MAD)749779.5
Skewness30.504574
Sum2.9431316 × 1012
Variance1.4451178 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:55.222418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1608
 
16.1%
13 9
 
0.1%
227 5
 
0.1%
12 5
 
0.1%
80 5
 
0.1%
24 4
 
< 0.1%
30 4
 
< 0.1%
4 4
 
< 0.1%
865 4
 
< 0.1%
15 4
 
< 0.1%
Other values (7696) 8348
83.5%
ValueCountFrequency (%)
0 1608
16.1%
1 4
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
175593795575 1
< 0.1%
175443803173 1
< 0.1%
116050721631 1
< 0.1%
105530256559 1
< 0.1%
88390244825 1
< 0.1%
86980159576 1
< 0.1%
73304591823 1
< 0.1%
67261032274 1
< 0.1%
54829307153 1
< 0.1%
54127365209 1
< 0.1%

2017수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8231
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.813172 × 108
Minimum0
Maximum3.1220671 × 1011
Zeros1220
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:55.360517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174500
median2669268
Q339588613
95-th percentile8.5943256 × 108
Maximum3.1220671 × 1011
Range3.1220671 × 1011
Interquartile range (IQR)39514113

Descriptive statistics

Standard deviation6.0259208 × 109
Coefficient of variation (CV)12.519646
Kurtosis1175.2658
Mean4.813172 × 108
Median Absolute Deviation (MAD)2669268
Skewness30.422462
Sum4.813172 × 1012
Variance3.6311721 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:55.806768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1220
 
12.2%
100 4
 
< 0.1%
11 4
 
< 0.1%
623 4
 
< 0.1%
7299328 4
 
< 0.1%
57451 4
 
< 0.1%
5900 3
 
< 0.1%
1386 3
 
< 0.1%
130 3
 
< 0.1%
3687 3
 
< 0.1%
Other values (8221) 8748
87.5%
ValueCountFrequency (%)
0 1220
12.2%
1 2
 
< 0.1%
2 1
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
11 4
 
< 0.1%
14 1
 
< 0.1%
16 2
 
< 0.1%
20 2
 
< 0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
312206709681 1
< 0.1%
213489447582 1
< 0.1%
199106102240 1
< 0.1%
188417113649 1
< 0.1%
142119999703 1
< 0.1%
118099735614 1
< 0.1%
108191994819 1
< 0.1%
98411197407 1
< 0.1%
90925146221 1
< 0.1%
89863223094 1
< 0.1%

2017수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7708
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4457231 × 108
Minimum0
Maximum2.0354012 × 1011
Zeros1551
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:55.951822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17215.75
median707641.5
Q320238258
95-th percentile6.5571168 × 108
Maximum2.0354012 × 1011
Range2.0354012 × 1011
Interquartile range (IQR)20231042

Descriptive statistics

Standard deviation4.3953001 × 109
Coefficient of variation (CV)12.755814
Kurtosis1148.5264
Mean3.4457231 × 108
Median Absolute Deviation (MAD)707641.5
Skewness30.344621
Sum3.4457231 × 1012
Variance1.9318663 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:56.088873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1551
 
15.5%
13 9
 
0.1%
11 8
 
0.1%
12 6
 
0.1%
10548 6
 
0.1%
21 5
 
0.1%
73 5
 
0.1%
30 5
 
0.1%
17 4
 
< 0.1%
31 4
 
< 0.1%
Other values (7698) 8397
84.0%
ValueCountFrequency (%)
0 1551
15.5%
1 2
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
203540121694 1
< 0.1%
202755594002 1
< 0.1%
135566676905 1
< 0.1%
120766140567 1
< 0.1%
100591217745 1
< 0.1%
97860114001 1
< 0.1%
79325649421 1
< 0.1%
76618089632 1
< 0.1%
70155162172 1
< 0.1%
62217858568 1
< 0.1%

2018수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8221
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3479852 × 108
Minimum0
Maximum3.5113952 × 1011
Zeros1203
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:56.215296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181304
median2919734.5
Q340765972
95-th percentile8.8275202 × 108
Maximum3.5113952 × 1011
Range3.5113952 × 1011
Interquartile range (IQR)40684668

Descriptive statistics

Standard deviation6.7913549 × 109
Coefficient of variation (CV)12.698904
Kurtosis1137.5062
Mean5.3479852 × 108
Median Absolute Deviation (MAD)2919734.5
Skewness29.820482
Sum5.3479852 × 1012
Variance4.6122502 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:56.339367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1203
 
12.0%
3113 4
 
< 0.1%
86 4
 
< 0.1%
21517 4
 
< 0.1%
7162291 4
 
< 0.1%
70570 3
 
< 0.1%
59 3
 
< 0.1%
3705 3
 
< 0.1%
9231 3
 
< 0.1%
14713 3
 
< 0.1%
Other values (8211) 8766
87.7%
ValueCountFrequency (%)
0 1203
12.0%
4 1
 
< 0.1%
6 1
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
12 2
 
< 0.1%
15 1
 
< 0.1%
19 2
 
< 0.1%
20 1
 
< 0.1%
22 2
 
< 0.1%
ValueCountFrequency (%)
351139515616 1
< 0.1%
243639274683 1
< 0.1%
207705660238 1
< 0.1%
200020609198 1
< 0.1%
162125055391 1
< 0.1%
142477381292 1
< 0.1%
125288186540 1
< 0.1%
113871203743 1
< 0.1%
102725552298 1
< 0.1%
100703027701 1
< 0.1%

2018수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7746
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5647527 × 108
Minimum0
Maximum2.2057752 × 1011
Zeros1525
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:56.518297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17462.75
median736440.5
Q319906507
95-th percentile6.5713231 × 108
Maximum2.2057752 × 1011
Range2.2057752 × 1011
Interquartile range (IQR)19899044

Descriptive statistics

Standard deviation4.6208904 × 109
Coefficient of variation (CV)12.962723
Kurtosis1154.8814
Mean3.5647527 × 108
Median Absolute Deviation (MAD)736440.5
Skewness30.404748
Sum3.5647527 × 1012
Variance2.1352628 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:56.635929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1525
 
15.2%
12 8
 
0.1%
290 7
 
0.1%
118 5
 
0.1%
268 5
 
0.1%
2590 5
 
0.1%
84 5
 
0.1%
210 5
 
0.1%
525 5
 
0.1%
104 4
 
< 0.1%
Other values (7736) 8426
84.3%
ValueCountFrequency (%)
0 1525
15.2%
1 2
 
< 0.1%
2 1
 
< 0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
9 3
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
12 8
 
0.1%
13 4
 
< 0.1%
ValueCountFrequency (%)
220577524147 1
< 0.1%
208393218162 1
< 0.1%
140479640485 1
< 0.1%
117344612291 1
< 0.1%
106488591796 1
< 0.1%
99327830829 1
< 0.1%
86504787771 1
< 0.1%
86071244444 1
< 0.1%
77580382500 1
< 0.1%
66018059445 1
< 0.1%

2019수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8214
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.757077 × 108
Minimum0
Maximum3.0863621 × 1011
Zeros1214
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:56.794618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171060.5
median2592336.5
Q337547420
95-th percentile8.5974873 × 108
Maximum3.0863621 × 1011
Range3.0863621 × 1011
Interquartile range (IQR)37476360

Descriptive statistics

Standard deviation5.9172704 × 109
Coefficient of variation (CV)12.438879
Kurtosis1183.7116
Mean4.757077 × 108
Median Absolute Deviation (MAD)2592336.5
Skewness30.44
Sum4.757077 × 1012
Variance3.5014089 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:56.943681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1214
 
12.1%
37 5
 
0.1%
208 5
 
0.1%
21330 4
 
< 0.1%
842 4
 
< 0.1%
180 4
 
< 0.1%
869796 4
 
< 0.1%
9544 4
 
< 0.1%
1400 3
 
< 0.1%
85 3
 
< 0.1%
Other values (8204) 8750
87.5%
ValueCountFrequency (%)
0 1214
12.1%
1 1
 
< 0.1%
2 3
 
< 0.1%
4 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
15 2
 
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
308636213900 1
< 0.1%
210759256665 1
< 0.1%
190267496392 1
< 0.1%
186018414484 1
< 0.1%
136202533208 1
< 0.1%
108457821713 1
< 0.1%
106017696190 1
< 0.1%
93376222700 1
< 0.1%
93371285483 1
< 0.1%
91390405545 1
< 0.1%

2019수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7695
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2999048 × 108
Minimum0
Maximum2.0954406 × 1011
Zeros1533
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:57.083620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16825
median729683.5
Q319462260
95-th percentile6.2592134 × 108
Maximum2.0954406 × 1011
Range2.0954406 × 1011
Interquartile range (IQR)19455434

Descriptive statistics

Standard deviation4.3337818 × 109
Coefficient of variation (CV)13.133051
Kurtosis1158.3265
Mean3.2999048 × 108
Median Absolute Deviation (MAD)729683.5
Skewness30.464553
Sum3.2999048 × 1012
Variance1.8781665 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:57.250535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1533
 
15.3%
300 11
 
0.1%
12 8
 
0.1%
35 7
 
0.1%
3736 6
 
0.1%
26 6
 
0.1%
10 6
 
0.1%
45 6
 
0.1%
15 5
 
0.1%
27 5
 
0.1%
Other values (7685) 8407
84.1%
ValueCountFrequency (%)
0 1533
15.3%
3 1
 
< 0.1%
4 3
 
< 0.1%
6 5
 
0.1%
10 6
 
0.1%
11 5
 
0.1%
12 8
 
0.1%
13 3
 
< 0.1%
15 5
 
0.1%
16 3
 
< 0.1%
ValueCountFrequency (%)
209544059843 1
< 0.1%
192921480133 1
< 0.1%
130166465527 1
< 0.1%
107228736443 1
< 0.1%
104939324163 1
< 0.1%
89166796582 1
< 0.1%
83158539570 1
< 0.1%
75176252011 1
< 0.1%
71998677849 1
< 0.1%
67637227299 1
< 0.1%

2020수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8223
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6189204 × 108
Minimum0
Maximum3.0018558 × 1011
Zeros1164
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:57.443549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169526
median2334571
Q334164078
95-th percentile8.111535 × 108
Maximum3.0018558 × 1011
Range3.0018558 × 1011
Interquartile range (IQR)34094552

Descriptive statistics

Standard deviation5.7667831 × 109
Coefficient of variation (CV)12.485132
Kurtosis1165.0261
Mean4.6189204 × 108
Median Absolute Deviation (MAD)2334571
Skewness30.178727
Sum4.6189204 × 1012
Variance3.3255787 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:57.621765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1164
 
11.6%
665 5
 
0.1%
3000 5
 
0.1%
6580 4
 
< 0.1%
10 4
 
< 0.1%
240887 4
 
< 0.1%
17 4
 
< 0.1%
120 4
 
< 0.1%
93 4
 
< 0.1%
2 3
 
< 0.1%
Other values (8213) 8799
88.0%
ValueCountFrequency (%)
0 1164
11.6%
1 2
 
< 0.1%
2 3
 
< 0.1%
3 2
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
10 4
 
< 0.1%
13 1
 
< 0.1%
14 3
 
< 0.1%
17 4
 
< 0.1%
ValueCountFrequency (%)
300185580340 1
< 0.1%
204481913251 1
< 0.1%
180486227745 1
< 0.1%
179358252545 1
< 0.1%
132565444734 1
< 0.1%
110129805146 1
< 0.1%
106154656151 1
< 0.1%
91037611963 1
< 0.1%
90646565578 1
< 0.1%
90502657806 1
< 0.1%

2020수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7716
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3430513 × 108
Minimum0
Maximum2.0381514 × 1011
Zeros1561
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:57.809932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16345.5
median630639.5
Q318480499
95-th percentile6.2762749 × 108
Maximum2.0381514 × 1011
Range2.0381514 × 1011
Interquartile range (IQR)18474154

Descriptive statistics

Standard deviation4.3132069 × 109
Coefficient of variation (CV)12.902006
Kurtosis1172.1573
Mean3.3430513 × 108
Median Absolute Deviation (MAD)630639.5
Skewness30.672674
Sum3.3430513 × 1012
Variance1.8603754 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:57.981847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1561
 
15.6%
11 8
 
0.1%
17 7
 
0.1%
196 6
 
0.1%
16 6
 
0.1%
123 5
 
0.1%
250 5
 
0.1%
274 5
 
0.1%
116 5
 
0.1%
1565 4
 
< 0.1%
Other values (7706) 8388
83.9%
ValueCountFrequency (%)
0 1561
15.6%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
203815140192 1
< 0.1%
197634850203 1
< 0.1%
132693427871 1
< 0.1%
112231556311 1
< 0.1%
108884644649 1
< 0.1%
92833761252 1
< 0.1%
78992172716 1
< 0.1%
73786999694 1
< 0.1%
61906869580 1
< 0.1%
60792055008 1
< 0.1%

2021수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8256
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6544379 × 108
Minimum0
Maximum3.6347902 × 1011
Zeros1152
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:58.164098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175280.25
median2623287
Q341974807
95-th percentile9.7513005 × 108
Maximum3.6347902 × 1011
Range3.6347902 × 1011
Interquartile range (IQR)41899526

Descriptive statistics

Standard deviation7.0869774 × 109
Coefficient of variation (CV)12.533478
Kurtosis1121.8219
Mean5.6544379 × 108
Median Absolute Deviation (MAD)2623287
Skewness29.675753
Sum5.6544379 × 1012
Variance5.0225249 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:58.327205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1152
 
11.5%
100 5
 
0.1%
6178 5
 
0.1%
12236 4
 
< 0.1%
180 4
 
< 0.1%
222854 4
 
< 0.1%
10 4
 
< 0.1%
104 4
 
< 0.1%
5008 4
 
< 0.1%
69 4
 
< 0.1%
Other values (8246) 8810
88.1%
ValueCountFrequency (%)
0 1152
11.5%
1 3
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
10 4
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
363479018187 1
< 0.1%
243210954592 1
< 0.1%
234315764827 1
< 0.1%
214750564724 1
< 0.1%
162912974204 1
< 0.1%
132996612806 1
< 0.1%
132772857486 1
< 0.1%
120323823094 1
< 0.1%
114932678992 1
< 0.1%
108955046613 1
< 0.1%

2021수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7713
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2388274 × 108
Minimum0
Maximum2.6223094 × 1011
Zeros1547
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:58.526474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16643.25
median708630
Q320871462
95-th percentile7.4811561 × 108
Maximum2.6223094 × 1011
Range2.6223094 × 1011
Interquartile range (IQR)20864819

Descriptive statistics

Standard deviation5.471023 × 109
Coefficient of variation (CV)12.906926
Kurtosis1174.8198
Mean4.2388274 × 108
Median Absolute Deviation (MAD)708630
Skewness30.604951
Sum4.2388274 × 1012
Variance2.9932093 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:58.716065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1547
 
15.5%
12 9
 
0.1%
120 6
 
0.1%
200 6
 
0.1%
31 6
 
0.1%
11 6
 
0.1%
3 6
 
0.1%
21 5
 
0.1%
142 5
 
0.1%
50 4
 
< 0.1%
Other values (7703) 8400
84.0%
ValueCountFrequency (%)
0 1547
15.5%
1 2
 
< 0.1%
3 6
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 6
 
0.1%
ValueCountFrequency (%)
262230941661 1
< 0.1%
248320637433 1
< 0.1%
166996756515 1
< 0.1%
138628126820 1
< 0.1%
137670962635 1
< 0.1%
112403462699 1
< 0.1%
104101950497 1
< 0.1%
87200936821 1
< 0.1%
81362404711 1
< 0.1%
79583189846 1
< 0.1%

2022수출(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8213
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8787488 × 108
Minimum0
Maximum3.7374927 × 1011
Zeros1177
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:58.878447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175740
median2889541
Q343565669
95-th percentile9.9520966 × 108
Maximum3.7374927 × 1011
Range3.7374927 × 1011
Interquartile range (IQR)43489929

Descriptive statistics

Standard deviation7.3958297 × 109
Coefficient of variation (CV)12.580619
Kurtosis1106.461
Mean5.8787488 × 108
Median Absolute Deviation (MAD)2889541
Skewness29.554273
Sum5.8787488 × 1012
Variance5.4698297 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:59.062881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1177
 
11.8%
1074 8
 
0.1%
13764 6
 
0.1%
100 5
 
0.1%
18 5
 
0.1%
69 4
 
< 0.1%
382705 4
 
< 0.1%
500 4
 
< 0.1%
800 4
 
< 0.1%
273512 3
 
< 0.1%
Other values (8203) 8780
87.8%
ValueCountFrequency (%)
0 1177
11.8%
1 1
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
9 3
 
< 0.1%
10 2
 
< 0.1%
11 3
 
< 0.1%
13 2
 
< 0.1%
14 1
 
< 0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
373749272471 1
< 0.1%
269212097146 1
< 0.1%
245549420825 1
< 0.1%
216938374355 1
< 0.1%
155789389159 1
< 0.1%
141674861927 1
< 0.1%
141518279194 1
< 0.1%
123831601906 1
< 0.1%
117719067392 1
< 0.1%
117604966188 1
< 0.1%

2022수입(달러)
Real number (ℝ)

SKEWED  ZEROS 

Distinct7680
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.528629 × 108
Minimum0
Maximum2.8902154 × 1011
Zeros1563
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:08:59.234382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16193
median746042.5
Q321183526
95-th percentile7.5877615 × 108
Maximum2.8902154 × 1011
Range2.8902154 × 1011
Interquartile range (IQR)21177333

Descriptive statistics

Standard deviation5.9539807 × 109
Coefficient of variation (CV)13.147424
Kurtosis1161.2972
Mean4.528629 × 108
Median Absolute Deviation (MAD)746042.5
Skewness30.419935
Sum4.528629 × 1012
Variance3.5449886 × 1019
MonotonicityNot monotonic
2023-12-12T22:08:59.384406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1563
 
15.6%
24 7
 
0.1%
11 7
 
0.1%
14 6
 
0.1%
9 6
 
0.1%
226 6
 
0.1%
10 6
 
0.1%
1146 5
 
0.1%
3418 5
 
0.1%
3821 5
 
0.1%
Other values (7670) 8384
83.8%
ValueCountFrequency (%)
0 1563
15.6%
1 2
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
9 6
 
0.1%
10 6
 
0.1%
11 7
 
0.1%
12 2
 
< 0.1%
ValueCountFrequency (%)
289021543031 1
< 0.1%
263904129671 1
< 0.1%
181325844859 1
< 0.1%
154576314149 1
< 0.1%
139638332007 1
< 0.1%
114534975413 1
< 0.1%
110697402628 1
< 0.1%
109458769995 1
< 0.1%
90323690837 1
< 0.1%
88565125174 1
< 0.1%

Sample

구분지역소재부품장비품목코드소재부품장비품목명2013수출(달러)2013수입(달러)2014수출(달러)2014수입(달러)2015수출(달러)2015수입(달러)2016수출(달러)2016수입(달러)2017수출(달러)2017수입(달러)2018수출(달러)2018수입(달러)2019수출(달러)2019수입(달러)2020수출(달러)2020수입(달러)2021수출(달러)2021수입(달러)2022수출(달러)2022수입(달러)
18593904LAIA11090기타 섬유제품707605155295316561484615613309473684112860070349569606422794435511944665100410506511990357342568671941563194030671737225263091352399113301981172593469
690100아시아27059기타 자동차부품65886290551360875843636866781524151334365605372181125161844138793211751263157890327296514413494615873348637452129105172532824901761438053104272891697214859251733219966222179346852433954557742119823869
7991316영국12022카르복실산 및 관련 유도체728014819097055148094710570031441264270091255101279294417132601938492039611768798112116084167589536910229283324456799834980967039389610679962821012289946012102
14751511멕시코32034공기 조화장치391922112683031560489709019874701178560293000006547505858660815650
1180102대만12050합성고무 및 플라스틱 물질296853720163747752322835632229711719253326816148592944211711038144513041260212005185054543269324344184574340226443703129461234244777416116420723334248432203075110291644738152116055
15594533브라질12091사진용 화학제품 및 감광재료2210052965127717224891187630953679872592072310403585217301142566544710138677876422531423441317334580638622914028460814
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구분지역소재부품장비품목코드소재부품장비품목명2013수출(달러)2013수입(달러)2014수출(달러)2014수입(달러)2015수출(달러)2015수입(달러)2016수출(달러)2016수입(달러)2017수출(달러)2017수입(달러)2018수출(달러)2018수입(달러)2019수출(달러)2019수입(달러)2020수출(달러)2020수입(달러)2021수출(달러)2021수입(달러)2022수출(달러)2022수입(달러)
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