Overview

Dataset statistics

Number of variables4
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory34.9 B

Variable types

Categorical1
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

2014 has constant value ""Constant
1 has unique valuesUnique
0102.21.1000 has unique valuesUnique
축우(번식용의 것/젖소) has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:21:03.803045
Analysis finished2023-12-11 03:21:04.544347
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2014
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2014
145 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014
2nd row2014
3rd row2014
4th row2014
5th row2014

Common Values

ValueCountFrequency (%)
2014 145
100.0%

Length

2023-12-11T12:21:04.664047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:04.761095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014 145
100.0%

1
Real number (ℝ)

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T12:21:04.881665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9.2
Q138
median74
Q3110
95-th percentile138.8
Maximum146
Range144
Interquartile range (IQR)72

Descriptive statistics

Standard deviation42.001984
Coefficient of variation (CV)0.56759438
Kurtosis-1.2
Mean74
Median Absolute Deviation (MAD)36
Skewness0
Sum10730
Variance1764.1667
MonotonicityStrictly increasing
2023-12-11T12:21:05.041710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 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 (135) 135
93.1%
ValueCountFrequency (%)
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%
11 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%

0102.21.1000
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T12:21:05.348687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1740
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

Unique145 ?
Unique (%)100.0%

Sample

1st row0102.21.2000
2nd row0102.21.9000
3rd row0102.31.0000
4th row0102.90.1000
5th row0103.10.0000
ValueCountFrequency (%)
0102.21.2000 1
 
0.7%
1104.29.1000 1
 
0.7%
1209.91.2000 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%
1209.91.1090 1
 
0.7%
1209.91.9000 1
 
0.7%
Other values (135) 135
93.1%
2023-12-11T12:21:05.802546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 650
37.4%
1 321
18.4%
. 290
16.7%
2 155
 
8.9%
9 134
 
7.7%
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 1450
83.3%
Other Punctuation 290
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 650
44.8%
1 321
22.1%
2 155
 
10.7%
9 134
 
9.2%
3 72
 
5.0%
5 39
 
2.7%
4 32
 
2.2%
7 20
 
1.4%
8 16
 
1.1%
6 11
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 650
37.4%
1 321
18.4%
. 290
16.7%
2 155
 
8.9%
9 134
 
7.7%
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 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 650
37.4%
1 321
18.4%
. 290
16.7%
2 155
 
8.9%
9 134
 
7.7%
3 72
 
4.1%
5 39
 
2.2%
4 32
 
1.8%
7 20
 
1.1%
8 16
 
0.9%

축우(번식용의 것/젖소)
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T12:21:06.115553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.8068966
Min length2

Characters and Unicode

Total characters1422
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

Unique145 ?
Unique (%)100.0%

Sample

1st row축우(번식용의 것/육우)
2nd row축우(번식용의 것/기타)
3rd row버팔로(번식용의 것)
4th row기타(번식용의 것)
5th row돼지(번식용의 것)
ValueCountFrequency (%)
것 29
 
11.8%
기타 6
 
2.4%
및 5
 
2.0%
또는 5
 
2.0%
종자 5
 
2.0%
분쇄물 5
 
2.0%
것/기타 3
 
1.2%
글루 3
 
1.2%
인삼류(기타 3
 
1.2%
축우(번식용의 2
 
0.8%
Other values (168) 179
73.1%
2023-12-11T12:21:06.669885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 119
 
8.4%
) 119
 
8.4%
101
 
7.1%
기 60
 
4.2%
타 60
 
4.2%
삼 49
 
3.4%
분 36
 
2.5%
것 36
 
2.5%
의 35
 
2.5%
/ 35
 
2.5%
Other values (171) 772
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1035
72.8%
Open Punctuation 119
 
8.4%
Close Punctuation 119
 
8.4%
Space Separator 101
 
7.1%
Other Punctuation 44
 
3.1%
Decimal Number 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 60
 
5.8%
타 60
 
5.8%
삼 49
 
4.7%
분 36
 
3.5%
것 36
 
3.5%
의 35
 
3.4%
용 30
 
2.9%
자 29
 
2.8%
종 26
 
2.5%
리 24
 
2.3%
Other values (162) 650
62.8%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
8 1
33.3%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 35
79.5%
, 9
 
20.5%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1035
72.8%
Common 386
 
27.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 60
 
5.8%
타 60
 
5.8%
삼 49
 
4.7%
분 36
 
3.5%
것 36
 
3.5%
의 35
 
3.4%
용 30
 
2.9%
자 29
 
2.8%
종 26
 
2.5%
리 24
 
2.3%
Other values (162) 650
62.8%
Common
ValueCountFrequency (%)
( 119
30.8%
) 119
30.8%
101
26.2%
/ 35
 
9.1%
, 9
 
2.3%
5 1
 
0.3%
8 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
g 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1035
72.8%
ASCII 387
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 119
30.7%
) 119
30.7%
101
26.1%
/ 35
 
9.0%
, 9
 
2.3%
g 1
 
0.3%
5 1
 
0.3%
8 1
 
0.3%
1 1
 
0.3%
Hangul
ValueCountFrequency (%)
기 60
 
5.8%
타 60
 
5.8%
삼 49
 
4.7%
분 36
 
3.5%
것 36
 
3.5%
의 35
 
3.4%
용 30
 
2.9%
자 29
 
2.8%
종 26
 
2.5%
리 24
 
2.3%
Other values (162) 650
62.8%

Interactions

2023-12-11T12:21:04.283546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T12:21:04.423321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:21:04.506179image/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

201410102.21.1000축우(번식용의 것/젖소)
0201420102.21.2000축우(번식용의 것/육우)
1201430102.21.9000축우(번식용의 것/기타)
2201440102.31.0000버팔로(번식용의 것)
3201450102.90.1000기타(번식용의 것)
4201460103.10.0000돼지(번식용의 것)
5201470105.11.1000닭(185g 이하/번식용의 것)
6201480105.94.1000닭(번식용의 것)
7201490407.11.0000조란(부화용 수정란/닭의 것)
82014100407.19.0000조란(부화용 수정란/기타)
92014110506.90.2000골분(소의 것)
201410102.21.1000축우(번식용의 것/젖소)
13520141373505.10.3000배소전분
13620141383505.10.4010프리젤라티나이지드 또는 스웰링전분(식품용)
13720141393505.10.4090프리젤라티나이지드 또는 스웰링전분(기타)
13820141403505.10.5010에테르화 또는 에스테르화전분(식품용)
13920141413505.10.5090에테르화 또는 에스테르화전분(기타)
14020141423505.10.9010기타 변성전분(식품용)
14120141433505.10.9090기타 변성전분(기타)
14220141443505.20.1000전분 글루
14320141453505.20.2000덱스트린 글루
14420141463505.20.9000기타 글루