Overview

Dataset statistics

Number of variables5
Number of observations223
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory43.6 B

Variable types

Text2
Numeric3

Dataset

Description세라믹산업 對 세계 무역수지(분류, 광물, 무역수지(단위:천달러) 등) 관련 자료입니다. (기준연도 : 2014년도)
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15051223/fileData.do

Alerts

무역수지(2012 / 천달러) is highly overall correlated with 무역수지(2013 / 천달러) and 1 other fieldsHigh correlation
무역수지(2013 / 천달러) is highly overall correlated with 무역수지(2012 / 천달러) and 1 other fieldsHigh correlation
무역수지(2014 / 천달러) is highly overall correlated with 무역수지(2012 / 천달러) and 1 other fieldsHigh correlation
분 류 has unique valuesUnique
무역수지(2012 / 천달러) has 54 (24.2%) zerosZeros
무역수지(2013 / 천달러) has 54 (24.2%) zerosZeros
무역수지(2014 / 천달러) has 54 (24.2%) zerosZeros

Reproduction

Analysis started2023-12-12 07:07:56.588692
Analysis finished2023-12-12 07:07:57.968520
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분 류
Text

UNIQUE 

Distinct223
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T16:07:58.285444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.5067265
Min length1

Characters and Unicode

Total characters1005
Distinct characters15
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

Unique223 ?
Unique (%)100.0%

Sample

1st rowA
2nd rowA01
3rd rowA0101
4th rowA0102
5th rowA02
ValueCountFrequency (%)
a 1
 
0.4%
d0104 1
 
0.4%
d0201 1
 
0.4%
d0202 1
 
0.4%
d0203 1
 
0.4%
d0204 1
 
0.4%
d03 1
 
0.4%
d0301 1
 
0.4%
d0302 1
 
0.4%
d0303 1
 
0.4%
Other values (213) 213
95.5%
2023-12-12T16:07:58.825004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 376
37.4%
1 90
 
9.0%
2 76
 
7.6%
3 61
 
6.1%
D 53
 
5.3%
4 52
 
5.2%
B 52
 
5.2%
A 50
 
5.0%
5 47
 
4.7%
E 35
 
3.5%
Other values (5) 113
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 782
77.8%
Uppercase Letter 223
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 376
48.1%
1 90
 
11.5%
2 76
 
9.7%
3 61
 
7.8%
4 52
 
6.6%
5 47
 
6.0%
6 30
 
3.8%
7 23
 
2.9%
8 17
 
2.2%
9 10
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
D 53
23.8%
B 52
23.3%
A 50
22.4%
E 35
15.7%
C 33
14.8%

Most occurring scripts

ValueCountFrequency (%)
Common 782
77.8%
Latin 223
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 376
48.1%
1 90
 
11.5%
2 76
 
9.7%
3 61
 
7.8%
4 52
 
6.6%
5 47
 
6.0%
6 30
 
3.8%
7 23
 
2.9%
8 17
 
2.2%
9 10
 
1.3%
Latin
ValueCountFrequency (%)
D 53
23.8%
B 52
23.3%
A 50
22.4%
E 35
15.7%
C 33
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 376
37.4%
1 90
 
9.0%
2 76
 
7.6%
3 61
 
6.1%
D 53
 
5.3%
4 52
 
5.2%
B 52
 
5.2%
A 50
 
5.0%
5 47
 
4.7%
E 35
 
3.5%
Other values (5) 113
 
11.2%

광물
Text

Distinct212
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T16:07:59.125118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length19
Mean length6.3497758
Min length2

Characters and Unicode

Total characters1416
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)92.4%

Sample

1st row광물
2nd row규산질 원료
3rd row규사
4th row규조토
5th row규산알루미늄 원료
ValueCountFrequency (%)
기타 26
 
7.1%
부품 22
 
6.0%
원료 15
 
4.1%
13
 
3.6%
세라믹 12
 
3.3%
제품 6
 
1.6%
반도체 4
 
1.1%
도자기 4
 
1.1%
4
 
1.1%
복합산화물 4
 
1.1%
Other values (226) 254
69.8%
2023-12-12T16:07:59.492188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
10.0%
50
 
3.5%
46
 
3.2%
45
 
3.2%
43
 
3.0%
35
 
2.5%
33
 
2.3%
32
 
2.3%
31
 
2.2%
28
 
2.0%
Other values (211) 932
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1237
87.4%
Space Separator 141
 
10.0%
Other Punctuation 10
 
0.7%
Uppercase Letter 10
 
0.7%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Lowercase Letter 5
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
4.0%
46
 
3.7%
45
 
3.6%
43
 
3.5%
35
 
2.8%
33
 
2.7%
32
 
2.6%
31
 
2.5%
28
 
2.3%
24
 
1.9%
Other values (196) 870
70.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
l 1
20.0%
u 1
20.0%
d 1
20.0%
o 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
L 3
30.0%
E 3
30.0%
D 3
30.0%
M 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 9
90.0%
· 1
 
10.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1237
87.4%
Common 164
 
11.6%
Latin 15
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
4.0%
46
 
3.7%
45
 
3.6%
43
 
3.5%
35
 
2.8%
33
 
2.7%
32
 
2.6%
31
 
2.5%
28
 
2.3%
24
 
1.9%
Other values (196) 870
70.3%
Latin
ValueCountFrequency (%)
L 3
20.0%
E 3
20.0%
D 3
20.0%
e 1
 
6.7%
l 1
 
6.7%
u 1
 
6.7%
d 1
 
6.7%
o 1
 
6.7%
M 1
 
6.7%
Common
ValueCountFrequency (%)
141
86.0%
/ 9
 
5.5%
) 6
 
3.7%
( 6
 
3.7%
· 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1237
87.4%
ASCII 178
 
12.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
79.2%
/ 9
 
5.1%
) 6
 
3.4%
( 6
 
3.4%
L 3
 
1.7%
E 3
 
1.7%
D 3
 
1.7%
1 1
 
0.6%
e 1
 
0.6%
l 1
 
0.6%
Other values (4) 4
 
2.2%
Hangul
ValueCountFrequency (%)
50
 
4.0%
46
 
3.7%
45
 
3.6%
43
 
3.5%
35
 
2.8%
33
 
2.7%
32
 
2.6%
31
 
2.5%
28
 
2.3%
24
 
1.9%
Other values (196) 870
70.3%
None
ValueCountFrequency (%)
· 1
100.0%

무역수지(2012 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct162
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-90287.004
Minimum-4150163
Maximum1031494
Zeros54
Zeros (%)24.2%
Negative125
Negative (%)56.1%
Memory size2.1 KiB
2023-12-12T16:07:59.652573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4150163
5-th percentile-582858.3
Q1-50986.5
median-2314
Q30
95-th percentile93280
Maximum1031494
Range5181657
Interquartile range (IQR)50986.5

Descriptive statistics

Standard deviation421723.93
Coefficient of variation (CV)-4.6709261
Kurtosis45.912816
Mean-90287.004
Median Absolute Deviation (MAD)15590
Skewness-5.6865803
Sum-20134002
Variance1.7785107 × 1011
MonotonicityNot monotonic
2023-12-12T16:07:59.786804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
24.2%
-50642 2
 
0.9%
993 2
 
0.9%
-27662 2
 
0.9%
-117631 2
 
0.9%
6008 2
 
0.9%
-102726 2
 
0.9%
-1379731 2
 
0.9%
-20854 2
 
0.9%
-2108078 1
 
0.4%
Other values (152) 152
68.2%
ValueCountFrequency (%)
-4150163 1
0.4%
-2530579 1
0.4%
-2108078 1
0.4%
-1379731 2
0.9%
-1227934 1
0.4%
-780391 1
0.4%
-774728 1
0.4%
-712695 1
0.4%
-674920 1
0.4%
-674202 1
0.4%
ValueCountFrequency (%)
1031494 1
0.4%
709989 1
0.4%
606162 1
0.4%
578094 1
0.4%
538770 1
0.4%
425741 1
0.4%
295202 1
0.4%
254029 1
0.4%
202806 1
0.4%
132351 1
0.4%

무역수지(2013 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct162
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-80110.291
Minimum-3566986
Maximum991960
Zeros54
Zeros (%)24.2%
Negative121
Negative (%)54.3%
Memory size2.1 KiB
2023-12-12T16:07:59.929439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3566986
5-th percentile-706977.7
Q1-42125.5
median-2266
Q30
95-th percentile126077.3
Maximum991960
Range4558946
Interquartile range (IQR)42125.5

Descriptive statistics

Standard deviation381989.16
Coefficient of variation (CV)-4.7682908
Kurtosis35.852387
Mean-80110.291
Median Absolute Deviation (MAD)15017
Skewness-4.6827648
Sum-17864595
Variance1.4591572 × 1011
MonotonicityNot monotonic
2023-12-12T16:08:00.464894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
24.2%
-42348 2
 
0.9%
1660 2
 
0.9%
-9796 2
 
0.9%
-105903 2
 
0.9%
8634 2
 
0.9%
-120237 2
 
0.9%
-1236709 2
 
0.9%
-19194 2
 
0.9%
-1821287 1
 
0.4%
Other values (152) 152
68.2%
ValueCountFrequency (%)
-3566986 1
0.4%
-1939301 1
0.4%
-1821287 1
0.4%
-1236709 2
0.9%
-1036213 1
0.4%
-1033226 1
0.4%
-860068 1
0.4%
-821039 1
0.4%
-800410 1
0.4%
-757147 1
0.4%
ValueCountFrequency (%)
991960 1
0.4%
946322 1
0.4%
631344 1
0.4%
597005 1
0.4%
579148 1
0.4%
417612 1
0.4%
362557 1
0.4%
315134 1
0.4%
289671 1
0.4%
151665 1
0.4%

무역수지(2014 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct162
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-64721.87
Minimum-3099512
Maximum972584
Zeros54
Zeros (%)24.2%
Negative117
Negative (%)52.5%
Memory size2.1 KiB
2023-12-12T16:08:00.638577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3099512
5-th percentile-393274.9
Q1-41590.5
median-418
Q30
95-th percentile240528.5
Maximum972584
Range4072096
Interquartile range (IQR)41590.5

Descriptive statistics

Standard deviation351231.45
Coefficient of variation (CV)-5.4267816
Kurtosis31.253691
Mean-64721.87
Median Absolute Deviation (MAD)13691
Skewness-4.2152812
Sum-14432977
Variance1.2336353 × 1011
MonotonicityNot monotonic
2023-12-12T16:08:00.797030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
24.2%
-36230 2
 
0.9%
1965 2
 
0.9%
-5554 2
 
0.9%
-128598 2
 
0.9%
11515 2
 
0.9%
-143085 2
 
0.9%
-1421618 2
 
0.9%
-15002 2
 
0.9%
-2029217 1
 
0.4%
Other values (152) 152
68.2%
ValueCountFrequency (%)
-3099512 1
0.4%
-2029217 1
0.4%
-1421618 2
0.9%
-1262584 1
0.4%
-799222 1
0.4%
-784340 1
0.4%
-688740 1
0.4%
-688738 1
0.4%
-640201 1
0.4%
-413565 1
0.4%
ValueCountFrequency (%)
972584 1
0.4%
833804 1
0.4%
762375 1
0.4%
743495 1
0.4%
545236 1
0.4%
524341 1
0.4%
483929 1
0.4%
326789 1
0.4%
317265 1
0.4%
299726 1
0.4%

Interactions

2023-12-12T16:07:57.467559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:56.800386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:57.120924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:57.567957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:56.932729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:57.212607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:57.673922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:57.019850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:57.323239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:08:00.911338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
무역수지(2012 / 천달러)1.0000.9600.864
무역수지(2013 / 천달러)0.9601.0000.860
무역수지(2014 / 천달러)0.8640.8601.000
2023-12-12T16:08:01.016064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
무역수지(2012 / 천달러)1.0000.9560.926
무역수지(2013 / 천달러)0.9561.0000.951
무역수지(2014 / 천달러)0.9260.9511.000

Missing values

2023-12-12T16:07:57.825140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:07:57.925149image/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

분 류광물무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
0A광물-2108078-1821287-2029217
1A01규산질 원료-66460-66281-84773
2A0101규사-51331-44929-54767
3A0102규조토-15128-21351-30006
4A02규산알루미늄 원료-81865-79645-90370
5A0201실리마나이트족 광물-4800-6524-5410
6A0202카올린족 광물-48361-47388-50049
7A0203엽납석488156436090
8A0204점토-33584-31376-41000
9A03알루미나 원료6008863411515
분 류광물무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
213E0601필터469857456472
214E0602촉매담체-19213-12054-18003
215E0603기타000
216E07열적 세라믹 부품-123139228176
217E0701내열세라믹 부품000
218E0702발열용 부품154068198486
219E0703금속제조용 부품-2771-2897-311
220E08방탄 세라믹 부품000
221E0801방탄용 부품000
222E0802기타000