Overview

Dataset statistics

Number of variables3
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory25.8 B

Variable types

Numeric1
Text2

Dataset

Description국내외 가격차에 상당한 율로 양허한 농림축산물의 수입물량이 급증하거나 수입가격이 하락하는 경우에 특별긴급관세(SSG)를 부과할 수 있는 품목 현황 데이터
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220217000000002058

Alerts

일련번호 has unique valuesUnique
H S K has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:21:07.563895
Analysis finished2023-12-11 03:21:08.040971
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.5
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:21:08.152180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.05
Q141.25
median81.5
Q3121.75
95-th percentile153.95
Maximum162
Range161
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation46.909487
Coefficient of variation (CV)0.57557653
Kurtosis-1.2
Mean81.5
Median Absolute Deviation (MAD)40.5
Skewness0
Sum13203
Variance2200.5
MonotonicityStrictly increasing
2023-12-11T12:21:08.377638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
123 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
Other values (152) 152
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%

H S K
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T12:21:08.776684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1944
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row0102.21.1000
2nd row0102.21.2000
3rd row0102.21.9000
4th row0102.31.0000
5th row0102.90.1000
ValueCountFrequency (%)
0102.21.1000 1
 
0.6%
1211.20.1311 1
 
0.6%
1201.90.3000 1
 
0.6%
1209.91.2000 1
 
0.6%
1201.90.9000 1
 
0.6%
1202.30.1000 1
 
0.6%
1202.30.2000 1
 
0.6%
1202.41.0000 1
 
0.6%
1202.42.0000 1
 
0.6%
1209.91.1010 1
 
0.6%
Other values (152) 152
93.8%
2023-12-11T12:21:09.198195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 733
37.7%
1 355
18.3%
. 324
16.7%
2 170
 
8.7%
9 155
 
8.0%
3 77
 
4.0%
5 39
 
2.0%
4 34
 
1.7%
7 20
 
1.0%
6 19
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1620
83.3%
Other Punctuation 324
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 733
45.2%
1 355
21.9%
2 170
 
10.5%
9 155
 
9.6%
3 77
 
4.8%
5 39
 
2.4%
4 34
 
2.1%
7 20
 
1.2%
6 19
 
1.2%
8 18
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1944
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 733
37.7%
1 355
18.3%
. 324
16.7%
2 170
 
8.7%
9 155
 
8.0%
3 77
 
4.0%
5 39
 
2.0%
4 34
 
1.7%
7 20
 
1.0%
6 19
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 733
37.7%
1 355
18.3%
. 324
16.7%
2 170
 
8.7%
9 155
 
8.0%
3 77
 
4.0%
5 39
 
2.0%
4 34
 
1.7%
7 20
 
1.0%
6 19
 
1.0%

한 글 품 명
Text

Distinct157
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T12:21:09.441271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length20
Mean length11.814815
Min length1

Characters and Unicode

Total characters1914
Distinct characters215
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)95.1%

Sample

1st row축우(번식용의 것/젖소)
2nd row축우(번식용의 것/육우)
3rd row축우(번식용의 것/기타)
4th row버팔로(번식용의 것)
5th row기타(번식용의 것)
ValueCountFrequency (%)
것 32
 
8.8%
성상과 6
 
1.7%
기타 6
 
1.7%
제외한다 6
 
1.7%
경우는 6
 
1.7%
변형되는 6
 
1.7%
완전히 6
 
1.7%
전분구조가 6
 
1.7%
포함되지 6
 
1.7%
거쳐 6
 
1.7%
Other values (197) 276
76.2%
2023-12-11T12:21:09.853641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
10.6%
( 127
 
6.6%
) 127
 
6.6%
기 64
 
3.3%
타 64
 
3.3%
삼 49
 
2.6%
의 44
 
2.3%
것 42
 
2.2%
분 42
 
2.2%
/ 36
 
1.9%
Other values (205) 1117
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1393
72.8%
Space Separator 202
 
10.6%
Open Punctuation 127
 
6.6%
Close Punctuation 127
 
6.6%
Other Punctuation 51
 
2.7%
Lowercase Letter 11
 
0.6%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 64
 
4.6%
타 64
 
4.6%
삼 49
 
3.5%
의 44
 
3.2%
것 42
 
3.0%
분 42
 
3.0%
가 33
 
2.4%
용 31
 
2.2%
자 29
 
2.1%
전 28
 
2.0%
Other values (187) 967
69.4%
Lowercase Letter
ValueCountFrequency (%)
r 2
18.2%
e 2
18.2%
i 1
9.1%
c 1
9.1%
n 1
9.1%
k 1
9.1%
o 1
9.1%
b 1
9.1%
g 1
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 36
70.6%
, 9
 
17.6%
. 6
 
11.8%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
8 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1393
72.8%
Common 510
 
26.6%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 64
 
4.6%
타 64
 
4.6%
삼 49
 
3.5%
의 44
 
3.2%
것 42
 
3.0%
분 42
 
3.0%
가 33
 
2.4%
용 31
 
2.2%
자 29
 
2.1%
전 28
 
2.0%
Other values (187) 967
69.4%
Common
ValueCountFrequency (%)
202
39.6%
( 127
24.9%
) 127
24.9%
/ 36
 
7.1%
, 9
 
1.8%
. 6
 
1.2%
1 1
 
0.2%
8 1
 
0.2%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
r 2
18.2%
e 2
18.2%
i 1
9.1%
c 1
9.1%
n 1
9.1%
k 1
9.1%
o 1
9.1%
b 1
9.1%
g 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1393
72.8%
ASCII 521
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
38.8%
( 127
24.4%
) 127
24.4%
/ 36
 
6.9%
, 9
 
1.7%
. 6
 
1.2%
r 2
 
0.4%
e 2
 
0.4%
i 1
 
0.2%
c 1
 
0.2%
Other values (8) 8
 
1.5%
Hangul
ValueCountFrequency (%)
기 64
 
4.6%
타 64
 
4.6%
삼 49
 
3.5%
의 44
 
3.2%
것 42
 
3.0%
분 42
 
3.0%
가 33
 
2.4%
용 31
 
2.2%
자 29
 
2.1%
전 28
 
2.0%
Other values (187) 967
69.4%

Interactions

2023-12-11T12:21:07.729342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T12:21:07.902810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:21:07.992477image/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

일련번호H S K한 글 품 명
010102.21.1000축우(번식용의 것/젖소)
120102.21.2000축우(번식용의 것/육우)
230102.21.9000축우(번식용의 것/기타)
340102.31.0000버팔로(번식용의 것)
450102.90.1000기타(번식용의 것)
560103.10.0000돼지(번식용의 것)
670105.11.1000닭(185g 이하/번식용의 것)
780105.94.1000닭(번식용의 것)
890407.11.0000조란(부화용 수정란/닭의 것)
9100407.19.0000조란(부화용 수정란/기타)
일련번호H S K한 글 품 명
1521533505.10.3000배소전분
1531543505.10.4010프리젤라티나이지드 또는 스웰링전분(식품용)
1541553505.10.4090프리젤라티나이지드 또는 스웰링전분(기타)
1551563505.10.5010에테르화 또는 에스테르화전분(식품용)
1561573505.10.5090에테르화 또는 에스테르화전분(기타)
1571583505.10.9010기타 변성전분(식품용)
1581593505.10.9090기타 변성전분(기타)
1591603505.20.1000전분 글루
1601613505.20.2000덱스트린 글루
1611623505.20.9000기타 글루