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 수출 현황 관련 자료입니다. ( 분류, 무역수지 / 단위 : 천달러 등의 항목 제공) (기준연도 : 2014년도)
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15051225/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 58 (26.0%) zerosZeros
무역수지(2013 / 천달러) has 60 (26.9%) zerosZeros
무역수지(2014 / 천달러) has 59 (26.5%) zerosZeros

Reproduction

Analysis started2023-12-12 17:13:47.790812
Analysis finished2023-12-12 17:13:49.196748
Duration1.41 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
2023-12-13T02:13:49.536709image/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%
2023-12-13T02:13:50.016968image/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
2023-12-13T02:13:50.313598image/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%
및 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%
2023-12-13T02:13:50.694277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
10.0%
기 50
 
3.5%
산 46
 
3.2%
품 45
 
3.2%
화 43
 
3.0%
부 35
 
2.5%
물 33
 
2.3%
용 32
 
2.3%
타 31
 
2.2%
라 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 (%)
기 50
 
4.0%
산 46
 
3.7%
품 45
 
3.6%
화 43
 
3.5%
부 35
 
2.8%
물 33
 
2.7%
용 32
 
2.6%
타 31
 
2.5%
라 28
 
2.3%
석 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 (%)
기 50
 
4.0%
산 46
 
3.7%
품 45
 
3.6%
화 43
 
3.5%
부 35
 
2.8%
물 33
 
2.7%
용 32
 
2.6%
타 31
 
2.5%
라 28
 
2.3%
석 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 (%)
기 50
 
4.0%
산 46
 
3.7%
품 45
 
3.6%
화 43
 
3.5%
부 35
 
2.8%
물 33
 
2.7%
용 32
 
2.6%
타 31
 
2.5%
라 28
 
2.3%
석 24
 
1.9%
Other values (196) 870
70.3%
None
ValueCountFrequency (%)
· 1
100.0%

무역수지(2012 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct157
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147999.42
Minimum0
Maximum5747705
Zeros58
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T02:13:50.867459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5471
Q353415
95-th percentile884531.4
Maximum5747705
Range5747705
Interquartile range (IQR)53415

Descriptive statistics

Standard deviation490289.91
Coefficient of variation (CV)3.3127826
Kurtosis78.477377
Mean147999.42
Median Absolute Deviation (MAD)5471
Skewness7.6601114
Sum33003871
Variance2.4038419 × 1011
MonotonicityNot monotonic
2023-12-13T02:13:51.018272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
26.0%
6473 2
 
0.9%
1942 2
 
0.9%
14128 2
 
0.9%
596 2
 
0.9%
6710 2
 
0.9%
1087 2
 
0.9%
5471 2
 
0.9%
1734 2
 
0.9%
88527 2
 
0.9%
Other values (147) 147
65.9%
ValueCountFrequency (%)
0 58
26.0%
2 1
 
0.4%
3 1
 
0.4%
12 1
 
0.4%
29 1
 
0.4%
50 1
 
0.4%
62 1
 
0.4%
85 1
 
0.4%
201 1
 
0.4%
213 1
 
0.4%
ValueCountFrequency (%)
5747705 1
0.4%
1939932 1
0.4%
1901954 1
0.4%
1831878 1
0.4%
1328060 1
0.4%
1150369 1
0.4%
1088964 1
0.4%
1056306 1
0.4%
1003450 1
0.4%
979661 1
0.4%

무역수지(2013 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct154
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161335.72
Minimum0
Maximum6602771
Zeros60
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T02:13:51.582542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5466
Q353620.5
95-th percentile880803.4
Maximum6602771
Range6602771
Interquartile range (IQR)53620.5

Descriptive statistics

Standard deviation544591.98
Coefficient of variation (CV)3.3755202
Kurtosis89.617611
Mean161335.72
Median Absolute Deviation (MAD)5466
Skewness8.2407864
Sum35977865
Variance2.9658043 × 1011
MonotonicityNot monotonic
2023-12-13T02:13:51.750661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
26.9%
6978 2
 
0.9%
1067 2
 
0.9%
55751 2
 
0.9%
7090 2
 
0.9%
9404 2
 
0.9%
9084 2
 
0.9%
220 2
 
0.9%
3843 2
 
0.9%
2568 2
 
0.9%
Other values (144) 145
65.0%
ValueCountFrequency (%)
0 60
26.9%
5 1
 
0.4%
24 1
 
0.4%
44 1
 
0.4%
88 1
 
0.4%
117 1
 
0.4%
118 1
 
0.4%
220 2
 
0.9%
455 1
 
0.4%
470 1
 
0.4%
ValueCountFrequency (%)
6602771 1
0.4%
2050424 1
0.4%
2027035 1
0.4%
1733658 1
0.4%
1386396 1
0.4%
1246472 1
0.4%
1228763 1
0.4%
1133270 1
0.4%
1011878 1
0.4%
971333 1
0.4%

무역수지(2014 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct154
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166145.51
Minimum0
Maximum6144655
Zeros59
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T02:13:51.922708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6427
Q362349
95-th percentile1041206.6
Maximum6144655
Range6144655
Interquartile range (IQR)62349

Descriptive statistics

Standard deviation535751.13
Coefficient of variation (CV)3.2245899
Kurtosis71.77533
Mean166145.51
Median Absolute Deviation (MAD)6427
Skewness7.2871776
Sum37050449
Variance2.8702927 × 1011
MonotonicityNot monotonic
2023-12-13T02:13:52.108135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
26.5%
8546 2
 
0.9%
661 2
 
0.9%
192898 2
 
0.9%
10656 2
 
0.9%
10034 2
 
0.9%
11874 2
 
0.9%
656 2
 
0.9%
3 2
 
0.9%
83 2
 
0.9%
Other values (144) 146
65.5%
ValueCountFrequency (%)
0 59
26.5%
1 1
 
0.4%
3 2
 
0.9%
4 1
 
0.4%
12 1
 
0.4%
26 1
 
0.4%
51 1
 
0.4%
54 1
 
0.4%
83 2
 
0.9%
341 1
 
0.4%
ValueCountFrequency (%)
6144655 1
0.4%
2290559 1
0.4%
2050907 1
0.4%
1775558 1
0.4%
1563644 1
0.4%
1509087 1
0.4%
1326347 1
0.4%
1240404 1
0.4%
1188659 1
0.4%
1186084 1
0.4%

Interactions

2023-12-13T02:13:48.678609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.022488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.359181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.803592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.174814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.469764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.894328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.263942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:13:48.572644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:13:52.240669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
무역수지(2012 / 천달러)1.0000.9850.987
무역수지(2013 / 천달러)0.9851.0000.992
무역수지(2014 / 천달러)0.9870.9921.000
2023-12-13T02:13:52.367682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
무역수지(2012 / 천달러)1.0000.9920.983
무역수지(2013 / 천달러)0.9921.0000.991
무역수지(2014 / 천달러)0.9830.9911.000

Missing values

2023-12-13T02:13:49.034693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:13:49.157753image/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)
0A광물836398363188471
1A01규산질 원료330953017052
2A0101규사188623632609
3A0102규조토142329384443
4A02규산알루미늄 원료178591890116658
5A0201실리마나이트족 광물011826
6A0202카올린족 광물151515162018
7A0203엽납석517461656384
8A0204점토11171111028229
9A03알루미나 원료6710908411874
분 류광물무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
213E0601필터131931427614836
214E0602촉매담체138922145930910
215E0603기타000
216E07열적 세라믹 부품278243578939724
217E0701내열세라믹 부품000
218E0702발열용 부품249073338436573
219E0703금속제조용 부품291724053151
220E08방탄 세라믹 부품000
221E0801방탄용 부품000
222E0802기타000