Overview

Dataset statistics

Number of variables9
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory78.1 B

Variable types

Categorical3
Text2
Numeric4

Dataset

Description세종 특별 자치시에 등록되어 있는 전통시장의 물가정보(품종, 품목, 규격등)에 대한 데이터를 표기한 엑셀 파일입니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/15045475/fileData.do

Alerts

등록기준일 has constant value ""Constant
2023년 2월 가격 is highly overall correlated with 2023년 1월 가격High correlation
2023년 1월 가격 is highly overall correlated with 2023년 2월 가격High correlation
품 목 has unique valuesUnique
증가 has 57 (89.1%) zerosZeros
감소 has 52 (81.2%) zerosZeros

Reproduction

Analysis started2023-12-12 15:18:09.284046
Analysis finished2023-12-12 15:18:11.580028
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품 종
Categorical

Distinct9
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
채소등
17 
가공식품
15 
수산물
9 
음료주류
6 
일용품
5 
Other values (4)
12 

Length

Max length4
Median length3
Mean length3.3125
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row곡물류
2nd row곡물류
3rd row곡물류
4th row육란류
5th row육란류

Common Values

ValueCountFrequency (%)
채소등 17
26.6%
가공식품 15
23.4%
수산물 9
14.1%
음료주류 6
 
9.4%
일용품 5
 
7.8%
육란류 4
 
6.2%
과일류 4
 
6.2%
곡물류 3
 
4.7%
기타 1
 
1.6%

Length

2023-12-13T00:18:11.660860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:18:11.811440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
채소등 17
26.6%
가공식품 15
23.4%
수산물 9
14.1%
음료주류 6
 
9.4%
일용품 5
 
7.8%
육란류 4
 
6.2%
과일류 4
 
6.2%
곡물류 3
 
4.7%
기타 1
 
1.6%

품 목
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-13T00:18:12.084203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.0625
Min length1

Characters and Unicode

Total characters260
Distinct characters101
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row쌀
2nd row보리쌀
3rd row찹 쌀
4th row달 걀
5th row닭고기
ValueCountFrequency (%)
치 4
 
4.1%
쌀 2
 
2.0%
배 2
 
2.0%
라 2
 
2.0%
주 2
 
2.0%
파 2
 
2.0%
감 2
 
2.0%
기 2
 
2.0%
추 2
 
2.0%
생 2
 
2.0%
Other values (73) 76
77.6%
2023-12-13T00:18:12.525322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
39.2%
고 8
 
3.1%
기 6
 
2.3%
치 5
 
1.9%
마 5
 
1.9%
추 5
 
1.9%
조 4
 
1.5%
생 3
 
1.2%
오 3
 
1.2%
장 3
 
1.2%
Other values (91) 116
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
60.8%
Space Separator 102
39.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 8
 
5.1%
기 6
 
3.8%
치 5
 
3.2%
마 5
 
3.2%
추 5
 
3.2%
조 4
 
2.5%
생 3
 
1.9%
오 3
 
1.9%
장 3
 
1.9%
주 3
 
1.9%
Other values (90) 113
71.5%
Space Separator
ValueCountFrequency (%)
102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
60.8%
Common 102
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 8
 
5.1%
기 6
 
3.8%
치 5
 
3.2%
마 5
 
3.2%
추 5
 
3.2%
조 4
 
2.5%
생 3
 
1.9%
오 3
 
1.9%
장 3
 
1.9%
주 3
 
1.9%
Other values (90) 113
71.5%
Common
ValueCountFrequency (%)
102
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
60.8%
ASCII 102
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
100.0%
Hangul
ValueCountFrequency (%)
고 8
 
5.1%
기 6
 
3.8%
치 5
 
3.2%
마 5
 
3.2%
추 5
 
3.2%
조 4
 
2.5%
생 3
 
1.9%
오 3
 
1.9%
장 3
 
1.9%
주 3
 
1.9%
Other values (90) 113
71.5%

규격
Text

Distinct50
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-13T00:18:12.747100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length6.234375
Min length2

Characters and Unicode

Total characters399
Distinct characters110
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)68.8%

Sample

1st row상품20kg
2nd row상품
3rd row상품
4th row특란 개당 60g
5th row손질 육계 1kg
ValueCountFrequency (%)
상품 23
21.7%
500g 5
 
4.7%
1kg 4
 
3.8%
300g 3
 
2.8%
것 3
 
2.8%
개당 3
 
2.8%
1000ml 2
 
1.9%
150g 2
 
1.9%
신선한 2
 
1.9%
500ml 2
 
1.9%
Other values (57) 57
53.8%
2023-12-13T00:18:13.088441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
 
12.5%
43
 
10.8%
상 26
 
6.5%
g 25
 
6.3%
품 25
 
6.3%
1 19
 
4.8%
5 15
 
3.8%
m 14
 
3.5%
3 10
 
2.5%
k 9
 
2.3%
Other values (100) 163
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156
39.1%
Decimal Number 116
29.1%
Lowercase Letter 64
16.0%
Space Separator 43
 
10.8%
Other Punctuation 9
 
2.3%
Uppercase Letter 5
 
1.3%
Close Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 26
 
16.7%
품 25
 
16.0%
개 4
 
2.6%
당 4
 
2.6%
이 4
 
2.6%
것 3
 
1.9%
한 3
 
1.9%
백 3
 
1.9%
지 2
 
1.3%
깐 2
 
1.3%
Other values (73) 80
51.3%
Decimal Number
ValueCountFrequency (%)
0 50
43.1%
1 19
 
16.4%
5 15
 
12.9%
3 10
 
8.6%
2 8
 
6.9%
6 6
 
5.2%
4 4
 
3.4%
8 2
 
1.7%
7 1
 
0.9%
9 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
g 25
39.1%
m 14
21.9%
k 9
 
14.1%
l 8
 
12.5%
c 6
 
9.4%
e 1
 
1.6%
t 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
L 2
40.0%
P 1
20.0%
F 1
20.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
, 3
33.3%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
43.6%
Hangul 156
39.1%
Latin 69
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 26
 
16.7%
품 25
 
16.0%
개 4
 
2.6%
당 4
 
2.6%
이 4
 
2.6%
것 3
 
1.9%
한 3
 
1.9%
백 3
 
1.9%
지 2
 
1.3%
깐 2
 
1.3%
Other values (73) 80
51.3%
Common
ValueCountFrequency (%)
0 50
28.7%
43
24.7%
1 19
 
10.9%
5 15
 
8.6%
3 10
 
5.7%
2 8
 
4.6%
. 6
 
3.4%
6 6
 
3.4%
4 4
 
2.3%
, 3
 
1.7%
Other values (6) 10
 
5.7%
Latin
ValueCountFrequency (%)
g 25
36.2%
m 14
20.3%
k 9
 
13.0%
l 8
 
11.6%
c 6
 
8.7%
L 2
 
2.9%
P 1
 
1.4%
e 1
 
1.4%
t 1
 
1.4%
F 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
60.4%
Hangul 156
39.1%
Math Operators 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
20.7%
43
17.8%
g 25
10.4%
1 19
 
7.9%
5 15
 
6.2%
m 14
 
5.8%
3 10
 
4.1%
k 9
 
3.7%
l 8
 
3.3%
2 8
 
3.3%
Other values (16) 40
16.6%
Hangul
ValueCountFrequency (%)
상 26
 
16.7%
품 25
 
16.0%
개 4
 
2.6%
당 4
 
2.6%
이 4
 
2.6%
것 3
 
1.9%
한 3
 
1.9%
백 3
 
1.9%
지 2
 
1.3%
깐 2
 
1.3%
Other values (73) 80
51.3%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%

단 위
Categorical

Distinct18
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
1kg
11 
1병
11 
1개
8 
1봉
7 
1마리
6 
Other values (13)
21 

Length

Max length4
Median length2
Mean length2.5625
Min length1

Unique

Unique7 ?
Unique (%)10.9%

Sample

1st row1포
2nd row1kg
3rd row1kg
4th row10개
5th row1마리

Common Values

ValueCountFrequency (%)
1kg 11
17.2%
1병 11
17.2%
1개 8
12.5%
1봉 7
10.9%
1마리 6
9.4%
1통 3
 
4.7%
100g 3
 
4.7%
300g 2
 
3.1%
600g 2
 
3.1%
1캔 2
 
3.1%
Other values (8) 9
14.1%

Length

2023-12-13T00:18:13.220947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1kg 11
17.2%
1병 11
17.2%
1개 8
12.5%
1봉 7
10.9%
1마리 6
9.4%
1통 3
 
4.7%
100g 3
 
4.7%
1포 2
 
3.1%
1캔 2
 
3.1%
600g 2
 
3.1%
Other values (8) 9
14.1%

2023년 2월 가격
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7291.4062
Minimum400
Maximum60000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T00:18:13.346408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400
5-th percentile1000
Q12375
median4650
Q37075
95-th percentile21400
Maximum60000
Range59600
Interquartile range (IQR)4700

Descriptive statistics

Standard deviation10348.62
Coefficient of variation (CV)1.41929
Kurtosis13.89991
Mean7291.4062
Median Absolute Deviation (MAD)2350
Skewness3.5497611
Sum466650
Variance1.0709393 × 108
MonotonicityNot monotonic
2023-12-13T00:18:13.470155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5000 8
 
12.5%
2500 4
 
6.2%
7000 4
 
6.2%
3000 3
 
4.7%
13000 3
 
4.7%
1000 3
 
4.7%
4000 2
 
3.1%
2100 2
 
3.1%
2400 2
 
3.1%
2000 2
 
3.1%
Other values (28) 31
48.4%
ValueCountFrequency (%)
400 1
 
1.6%
450 1
 
1.6%
950 1
 
1.6%
1000 3
4.7%
1450 1
 
1.6%
1500 2
3.1%
1600 1
 
1.6%
1800 1
 
1.6%
2000 2
3.1%
2100 2
3.1%
ValueCountFrequency (%)
60000 1
 
1.6%
46000 1
 
1.6%
40000 1
 
1.6%
22000 1
 
1.6%
18000 1
 
1.6%
13100 1
 
1.6%
13000 3
4.7%
12600 1
 
1.6%
10000 2
3.1%
8500 1
 
1.6%

2023년 1월 가격
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7619.2188
Minimum30
Maximum60000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T00:18:13.876314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile1067.5
Q12500
median4000
Q38050
95-th percentile21400
Maximum60000
Range59970
Interquartile range (IQR)5550

Descriptive statistics

Standard deviation10558.32
Coefficient of variation (CV)1.3857483
Kurtosis12.849777
Mean7619.2188
Median Absolute Deviation (MAD)2000
Skewness3.4020972
Sum487630
Variance1.1147812 × 108
MonotonicityNot monotonic
2023-12-13T00:18:14.026077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
5000 7
 
10.9%
4000 5
 
7.8%
2500 4
 
6.2%
1500 3
 
4.7%
7000 3
 
4.7%
10000 3
 
4.7%
2000 3
 
4.7%
3000 3
 
4.7%
6000 2
 
3.1%
3300 1
 
1.6%
Other values (30) 30
46.9%
ValueCountFrequency (%)
30 1
 
1.6%
450 1
 
1.6%
950 1
 
1.6%
1000 1
 
1.6%
1450 1
 
1.6%
1500 3
4.7%
1800 1
 
1.6%
2000 3
4.7%
2100 1
 
1.6%
2300 1
 
1.6%
ValueCountFrequency (%)
60000 1
1.6%
48000 1
1.6%
40000 1
1.6%
22000 1
1.6%
18000 1
1.6%
16800 1
1.6%
16000 1
1.6%
14000 1
1.6%
13100 1
1.6%
13000 1
1.6%

증가
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.9375
Minimum0
Maximum3000
Zeros57
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T00:18:14.119326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile925
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation434.23247
Coefficient of variation (CV)3.7454014
Kurtosis31.828979
Mean115.9375
Median Absolute Deviation (MAD)0
Skewness5.2483962
Sum7420
Variance188557.84
MonotonicityNot monotonic
2023-12-13T00:18:14.200950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 57
89.1%
500 2
 
3.1%
1000 2
 
3.1%
370 1
 
1.6%
3000 1
 
1.6%
1050 1
 
1.6%
ValueCountFrequency (%)
0 57
89.1%
370 1
 
1.6%
500 2
 
3.1%
1000 2
 
3.1%
1050 1
 
1.6%
3000 1
 
1.6%
ValueCountFrequency (%)
3000 1
 
1.6%
1050 1
 
1.6%
1000 2
 
3.1%
500 2
 
3.1%
370 1
 
1.6%
0 57
89.1%

감소
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.75
Minimum0
Maximum9400
Zeros52
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-13T00:18:14.286270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2340
Maximum9400
Range9400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1452.4063
Coefficient of variation (CV)3.2730283
Kurtosis25.353785
Mean443.75
Median Absolute Deviation (MAD)0
Skewness4.7526144
Sum28400
Variance2109484.1
MonotonicityNot monotonic
2023-12-13T00:18:14.373009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 52
81.2%
1000 2
 
3.1%
2000 1
 
1.6%
1500 1
 
1.6%
500 1
 
1.6%
3000 1
 
1.6%
9400 1
 
1.6%
2400 1
 
1.6%
700 1
 
1.6%
5700 1
 
1.6%
Other values (2) 2
 
3.1%
ValueCountFrequency (%)
0 52
81.2%
300 1
 
1.6%
500 1
 
1.6%
700 1
 
1.6%
900 1
 
1.6%
1000 2
 
3.1%
1500 1
 
1.6%
2000 1
 
1.6%
2400 1
 
1.6%
3000 1
 
1.6%
ValueCountFrequency (%)
9400 1
1.6%
5700 1
1.6%
3000 1
1.6%
2400 1
1.6%
2000 1
1.6%
1500 1
1.6%
1000 2
3.1%
900 1
1.6%
700 1
1.6%
500 1
1.6%

등록기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-03-07
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-07
2nd row2023-03-07
3rd row2023-03-07
4th row2023-03-07
5th row2023-03-07

Common Values

ValueCountFrequency (%)
2023-03-07 64
100.0%

Length

2023-12-13T00:18:14.471680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:18:14.551602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-07 64
100.0%

Interactions

2023-12-13T00:18:10.811953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:09.672076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:09.997934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.370193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.939757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:09.756272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.081330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.477162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:11.083609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:09.841794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.174287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.587673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:11.206883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:09.925824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.279108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:10.692755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:18:14.602471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품 종품 목규격단 위2023년 2월 가격2023년 1월 가격증가감소
품 종1.0001.0000.8870.8290.4350.4990.3990.000
품 목1.0001.0001.0001.0001.0001.0001.0001.000
규격0.8871.0001.0000.9580.5940.7080.8080.000
단 위0.8291.0000.9581.0000.7800.7860.0000.602
2023년 2월 가격0.4351.0000.5940.7801.0000.9990.0000.452
2023년 1월 가격0.4991.0000.7080.7860.9991.0000.0000.499
증가0.3991.0000.8080.0000.0000.0001.0000.000
감소0.0001.0000.0000.6020.4520.4990.0001.000
2023-12-13T00:18:14.691745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품 종단 위
품 종1.0000.394
단 위0.3941.000
2023-12-13T00:18:14.765119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023년 2월 가격2023년 1월 가격증가감소품 종단 위
2023년 2월 가격1.0000.973-0.0020.0570.2390.446
2023년 1월 가격0.9731.000-0.0960.2110.2820.447
증가-0.002-0.0961.000-0.1670.2510.000
감소0.0570.211-0.1671.0000.0000.245
품 종0.2390.2820.2510.0001.0000.394
단 위0.4460.4470.0000.2450.3941.000

Missing values

2023-12-13T00:18:11.363269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:18:11.527551image/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

품 종품 목규격단 위2023년 2월 가격2023년 1월 가격증가감소등록기준일
0곡물류쌀상품20kg1포4600048000020002023-03-07
1곡물류보리쌀상품1kg30003000002023-03-07
2곡물류찹 쌀상품1kg30003000002023-03-07
3육란류달 걀특란 개당 60g10개25002500002023-03-07
4육란류닭고기손질 육계 1kg1마리70007000002023-03-07
5육란류돼지고기삼겹살600g1300014000010002023-03-07
6육란류쇠고기한우등심 1등급이상600g6000060000002023-03-07
7채소등감 자상품1kg50005000002023-03-07
8채소등고구마상품1kg50005000002023-03-07
9채소등고추가루상품1kg4000040000002023-03-07
품 종품 목규격단 위2023년 2월 가격2023년 1월 가격증가감소등록기준일
54음료주류소 주360ml1병14501450002023-03-07
55음료주류오렌지주스1,500ml1병3500380003002023-03-07
56음료주류우 유1000ml1병21002100002023-03-07
57음료주류콜 라1.5L Pet1병2400330009002023-03-07
58일용품가루비누비트 6kg1봉1800018000002023-03-07
59일용품부엌용세제1.4kg1봉39502900105002023-03-07
60일용품샴 푸1000ml1통68006800002023-03-07
61일용품치 약160g1개18001800002023-03-07
62일용품화장지30롤1묶음2200022000002023-03-07
63기타마스크KF941개10001000002023-03-07