Overview

Dataset statistics

Number of variables3
Number of observations146
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory25.9 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
한 글 품 명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:21:13.933280
Analysis finished2023-12-11 03:21:14.609219
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.5
Minimum1
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T12:21:14.683733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.25
Q137.25
median73.5
Q3109.75
95-th percentile138.75
Maximum146
Range145
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation42.290661
Coefficient of variation (CV)0.57538314
Kurtosis-1.2
Mean73.5
Median Absolute Deviation (MAD)36.5
Skewness0
Sum10731
Variance1788.5
MonotonicityStrictly increasing
2023-12-11T12:21:14.837548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
111 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
Other values (136) 136
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%

H S K
Text

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T12:21:15.154674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1752
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

Unique146 ?
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
 
0.7%
1211.20.1291 1
 
0.7%
1201.90.3000 1
 
0.7%
1209.91.1090 1
 
0.7%
1201.90.9000 1
 
0.7%
1202.30.1000 1
 
0.7%
1202.30.2000 1
 
0.7%
1202.41.0000 1
 
0.7%
1202.42.0000 1
 
0.7%
1209.91.1010 1
 
0.7%
Other values (136) 136
93.2%
2023-12-11T12:21:15.650713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 655
37.4%
1 324
18.5%
. 292
16.7%
2 157
 
9.0%
9 134
 
7.6%
3 72
 
4.1%
5 39
 
2.2%
4 32
 
1.8%
7 20
 
1.1%
8 16
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1460
83.3%
Other Punctuation 292
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 655
44.9%
1 324
22.2%
2 157
 
10.8%
9 134
 
9.2%
3 72
 
4.9%
5 39
 
2.7%
4 32
 
2.2%
7 20
 
1.4%
8 16
 
1.1%
6 11
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 655
37.4%
1 324
18.5%
. 292
16.7%
2 157
 
9.0%
9 134
 
7.6%
3 72
 
4.1%
5 39
 
2.2%
4 32
 
1.8%
7 20
 
1.1%
8 16
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 655
37.4%
1 324
18.5%
. 292
16.7%
2 157
 
9.0%
9 134
 
7.6%
3 72
 
4.1%
5 39
 
2.2%
4 32
 
1.8%
7 20
 
1.1%
8 16
 
0.9%

한 글 품 명
Text

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T12:21:15.926785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.7739726
Min length2

Characters and Unicode

Total characters1427
Distinct characters181
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

Unique146 ?
Unique (%)100.0%

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 29
 
11.7%
기타 6
 
2.4%
및 5
 
2.0%
종자 5
 
2.0%
분쇄물 5
 
2.0%
또는 5
 
2.0%
글루 3
 
1.2%
인삼류(기타 3
 
1.2%
축우(번식용의 3
 
1.2%
것/기타 3
 
1.2%
Other values (169) 180
72.9%
2023-12-11T12:21:16.382730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 120
 
8.4%
) 120
 
8.4%
103
 
7.2%
타 60
 
4.2%
기 60
 
4.2%
삼 49
 
3.4%
것 37
 
2.6%
분 36
 
2.5%
/ 36
 
2.5%
의 36
 
2.5%
Other values (171) 770
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
73.2%
Open Punctuation 120
 
8.4%
Close Punctuation 120
 
8.4%
Space Separator 103
 
7.2%
Other Punctuation 36
 
2.5%
Decimal Number 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
타 60
 
5.7%
기 60
 
5.7%
삼 49
 
4.7%
것 37
 
3.5%
분 36
 
3.4%
의 36
 
3.4%
용 31
 
3.0%
자 29
 
2.8%
종 26
 
2.5%
수 24
 
2.3%
Other values (163) 656
62.8%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
8 1
33.3%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 36
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1044
73.2%
Common 382
 
26.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
타 60
 
5.7%
기 60
 
5.7%
삼 49
 
4.7%
것 37
 
3.5%
분 36
 
3.4%
의 36
 
3.4%
용 31
 
3.0%
자 29
 
2.8%
종 26
 
2.5%
수 24
 
2.3%
Other values (163) 656
62.8%
Common
ValueCountFrequency (%)
( 120
31.4%
) 120
31.4%
103
27.0%
/ 36
 
9.4%
5 1
 
0.3%
8 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
g 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1044
73.2%
ASCII 383
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 120
31.3%
) 120
31.3%
103
26.9%
/ 36
 
9.4%
g 1
 
0.3%
5 1
 
0.3%
8 1
 
0.3%
1 1
 
0.3%
Hangul
ValueCountFrequency (%)
타 60
 
5.7%
기 60
 
5.7%
삼 49
 
4.7%
것 37
 
3.5%
분 36
 
3.4%
의 36
 
3.4%
용 31
 
3.0%
자 29
 
2.8%
종 26
 
2.5%
수 24
 
2.3%
Other values (163) 656
62.8%

Interactions

2023-12-11T12:21:14.051453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T12:21:14.485194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:21:14.573312image/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
1361373505.10.3000배소전분
1371383505.10.4010프리젤라티나이지드 또는 스웰링전분(식품용)
1381393505.10.4090프리젤라티나이지드 또는 스웰링전분(기타)
1391403505.10.5010에테르화 또는 에스테르화전분(식품용)
1401413505.10.5090에테르화 또는 에스테르화전분(기타)
1411423505.10.9010기타 변성전분(식품용)
1421433505.10.9090기타 변성전분(기타)
1431443505.20.1000전분 글루
1441453505.20.2000덱스트린 글루
1451463505.20.9000기타 글루