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 수입 현황 관련 자료입니다. (분류, 무역수지 / 단위:천달러 등 항목 제공) (기준연도 : 2014년도)
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15051227/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 55 (24.7%) zerosZeros
무역수지(2013 / 천달러) has 55 (24.7%) zerosZeros
무역수지(2014 / 천달러) has 55 (24.7%) zerosZeros

Reproduction

Analysis started2023-12-12 18:59:40.016416
Analysis finished2023-12-12 18:59:41.924863
Duration1.91 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
2023-12-13T03:59:42.417003image/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%
2023-12-13T03:59:43.370477image/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
2023-12-13T03:59:43.837104image/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%
2023-12-13T03:59:44.531003image/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 

Distinct161
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238096.93
Minimum0
Maximum6052117
Zeros55
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T03:59:44.796195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191.5
median24792
Q3142145.5
95-th percentile1013750.1
Maximum6052117
Range6052117
Interquartile range (IQR)142054

Descriptive statistics

Standard deviation666619.56
Coefficient of variation (CV)2.7997822
Kurtosis40.198983
Mean238096.93
Median Absolute Deviation (MAD)24792
Skewness5.7372891
Sum53095616
Variance4.4438164 × 1011
MonotonicityNot monotonic
2023-12-13T03:59:45.043526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
24.7%
51728 2
 
0.9%
741 2
 
0.9%
29604 2
 
0.9%
124104 2
 
0.9%
702 2
 
0.9%
191253 2
 
0.9%
1393858 2
 
0.9%
26325 2
 
0.9%
2191716 1
 
0.4%
Other values (151) 151
67.7%
ValueCountFrequency (%)
0 55
24.7%
89 1
 
0.4%
94 1
 
0.4%
161 1
 
0.4%
293 1
 
0.4%
509 1
 
0.4%
672 1
 
0.4%
702 2
 
0.9%
741 2
 
0.9%
754 1
 
0.4%
ValueCountFrequency (%)
6052117 1
0.4%
5037716 1
0.4%
3510240 1
0.4%
2327646 1
0.4%
2191716 1
0.4%
2102788 1
0.4%
1619996 1
0.4%
1393858 2
0.9%
1344429 1
0.4%
1206021 1
0.4%

무역수지(2013 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct161
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241235.38
Minimum0
Maximum5617409
Zeros55
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T03:59:45.311629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.5
median23877
Q3153136
95-th percentile1070451.7
Maximum5617409
Range5617409
Interquartile range (IQR)153060.5

Descriptive statistics

Standard deviation664502.02
Coefficient of variation (CV)2.7545794
Kurtosis39.719603
Mean241235.38
Median Absolute Deviation (MAD)23877
Skewness5.6954921
Sum53795490
Variance4.4156294 × 1011
MonotonicityNot monotonic
2023-12-13T03:59:45.598733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
24.7%
46191 2
 
0.9%
908 2
 
0.9%
10862 2
 
0.9%
112881 2
 
0.9%
450 2
 
0.9%
323564 2
 
0.9%
1246112 2
 
0.9%
26284 2
 
0.9%
1904917 1
 
0.4%
Other values (151) 151
67.7%
ValueCountFrequency (%)
0 55
24.7%
16 1
 
0.4%
135 1
 
0.4%
366 1
 
0.4%
450 2
 
0.9%
522 1
 
0.4%
563 1
 
0.4%
792 1
 
0.4%
908 2
 
0.9%
995 1
 
0.4%
ValueCountFrequency (%)
5617409 1
0.4%
5610811 1
0.4%
3072571 1
0.4%
2827444 1
0.4%
1985910 1
0.4%
1904917 1
0.4%
1470580 1
0.4%
1246112 2
0.9%
1164273 1
0.4%
1155400 1
0.4%

무역수지(2014 / 천달러)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct161
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230705.2
Minimum0
Maximum5172071
Zeros55
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T03:59:45.849253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median23673
Q3140218.5
95-th percentile1015546.1
Maximum5172071
Range5172071
Interquartile range (IQR)140212

Descriptive statistics

Standard deviation617861.2
Coefficient of variation (CV)2.6781416
Kurtosis37.257779
Mean230705.2
Median Absolute Deviation (MAD)23673
Skewness5.476919
Sum51447260
Variance3.8175246 × 1011
MonotonicityNot monotonic
2023-12-13T03:59:46.096611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
24.7%
40111 2
 
0.9%
878 2
 
0.9%
6215 2
 
0.9%
137144 2
 
0.9%
359 2
 
0.9%
335983 2
 
0.9%
1431653 2
 
0.9%
25657 2
 
0.9%
2117689 1
 
0.4%
Other values (151) 151
67.7%
ValueCountFrequency (%)
0 55
24.7%
1 1
 
0.4%
12 1
 
0.4%
100 1
 
0.4%
228 1
 
0.4%
295 1
 
0.4%
359 2
 
0.9%
452 1
 
0.4%
649 1
 
0.4%
775 1
 
0.4%
ValueCountFrequency (%)
5172071 1
0.4%
5150419 1
0.4%
2616005 1
0.4%
2323735 1
0.4%
2117689 1
0.4%
2103839 1
0.4%
1486997 1
0.4%
1431653 2
0.9%
1283345 1
0.4%
1086564 1
0.4%

Interactions

2023-12-13T03:59:41.182941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:40.295287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:40.726706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:41.334582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:40.448823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:40.871288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:41.505076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:40.579997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:41.013772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:59:46.254745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
무역수지(2012 / 천달러)1.0000.9460.904
무역수지(2013 / 천달러)0.9461.0000.992
무역수지(2014 / 천달러)0.9040.9921.000
2023-12-13T03:59:46.821259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
무역수지(2012 / 천달러)1.0000.9940.991
무역수지(2013 / 천달러)0.9941.0000.995
무역수지(2014 / 천달러)0.9910.9951.000

Missing values

2023-12-13T03:59:41.715550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:59:41.856265image/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)
0A광물219171619049172117689
1A01규산질 원료697697158291825
2A0101규사532184729357376
3A0102규조토165512428934449
4A02규산알루미늄 원료9972498546107028
5A0201실리마나이트족 광물480066425436
6A0202카올린족 광물498764890452068
7A0203엽납석293522295
8A0204점토447544247849229
9A03알루미나 원료702450359
분 류광물무역수지(2012 / 천달러)무역수지(2013 / 천달러)무역수지(2014 / 천달러)
213E0601필터849585308364
214E0602촉매담체331053351448913
215E0603기타000
216E07열적 세라믹 부품290563186731548
217E0701내열세라믹 부품000
218E0702발열용 부품233672656528087
219E0703금속제조용 부품568953023462
220E08방탄 세라믹 부품000
221E0801방탄용 부품000
222E0802기타000