Overview

Dataset statistics

Number of variables25
Number of observations56
Missing cells608
Missing cells (%)43.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory213.4 B

Variable types

Categorical4
Text10
Numeric10
Unsupported1

Dataset

Description인천광역시 대형마트의 주간 가격동향을 알 수 있습니다.(구분, 품목, 규격 및 단가, 금주가격 등) * 코로나19 로 물가조사가 중단(2020.2월 3주차 ~ 상황종료시까지)됨에 따라 생필품 등 가격정보에 대해 한국소비자원에서 게시하는 참가격 홈페이지 자료를 참고해주시기 바랍니다 ** 관련 주소: https://www.price.go.kr/tprice/portal/dailynecessitypriceinfo/priceiteminfo/getPriceItemInfoList.do
Author인천광역시
URLhttps://www.data.go.kr/data/15053081/fileData.do

Alerts

2월 2주차가격(평균_원) has 7 (12.5%) missing valuesMissing
2월 1주차가격(평균_원) has 7 (12.5%) missing valuesMissing
중구(이마트 동인천점) 가격 has 12 (21.4%) missing valuesMissing
중구 참고 사항 has 51 (91.1%) missing valuesMissing
동구(이마트송림트레이더스) 가격 has 33 (58.9%) missing valuesMissing
동구 참고 사항 has 41 (73.2%) missing valuesMissing
미추홀구(롯데마트 인천터미널점) 가격 has 19 (33.9%) missing valuesMissing
미추홀구 참고 사항 has 54 (96.4%) missing valuesMissing
남동구(홈플러스 구월점) 가격 has 21 (37.5%) missing valuesMissing
남동구 참고 사항 has 54 (96.4%) missing valuesMissing
연수구(롯데마트 연수점) 가격 has 22 (39.3%) missing valuesMissing
연수구 참고 사항 has 46 (82.1%) missing valuesMissing
부평구(롯데마트 부평점) 가격 has 17 (30.4%) missing valuesMissing
부평구 참고 사항 has 53 (94.6%) missing valuesMissing
계양구(홈플러스 작전점) 가격 has 13 (23.2%) missing valuesMissing
계양구참고 사항 has 41 (73.2%) missing valuesMissing
서구(홈플러스 가좌점) 가격 has 15 (26.8%) missing valuesMissing
서구 참고 사항 has 46 (82.1%) missing valuesMissing
비고 has 56 (100.0%) missing valuesMissing
품목 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 17:13:51.335460
Analysis finished2023-12-12 17:13:52.028588
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
외식비(25)
25 
농축수산물(18)
18 
가공식품(10)
10 
공산품(3)
3 

Length

Max length9
Median length8
Mean length7.7678571
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농축수산물(18)
2nd row농축수산물(18)
3rd row농축수산물(18)
4th row농축수산물(18)
5th row농축수산물(18)

Common Values

ValueCountFrequency (%)
외식비(25) 25
44.6%
농축수산물(18) 18
32.1%
가공식품(10) 10
 
17.9%
공산품(3) 3
 
5.4%

Length

2023-12-13T02:13:52.123328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:13:52.265412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식비(25 25
44.6%
농축수산물(18 18
32.1%
가공식품(10 10
 
17.9%
공산품(3 3
 
5.4%

품목
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T02:13:52.569289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length2.7142857
Min length1

Characters and Unicode

Total characters152
Distinct characters95
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row쌀
2nd row콩나물
3rd row마늘
4th row양파
5th row대파
ValueCountFrequency (%)
쌀 1
 
1.8%
콩나물 1
 
1.8%
짬뽕 1
 
1.8%
화장지 1
 
1.8%
설렁탕 1
 
1.8%
냉면 1
 
1.8%
비빔밥 1
 
1.8%
갈비탕 1
 
1.8%
삼계탕 1
 
1.8%
김치찌개 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T02:13:53.038479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 8
 
5.3%
탕 5
 
3.3%
기 5
 
3.3%
면 4
 
2.6%
자 4
 
2.6%
장 4
 
2.6%
비 3
 
2.0%
밥 3
 
2.0%
유 3
 
2.0%
지 3
 
2.0%
Other values (85) 110
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
98.7%
Close Punctuation 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 8
 
5.3%
탕 5
 
3.3%
기 5
 
3.3%
면 4
 
2.7%
자 4
 
2.7%
장 4
 
2.7%
비 3
 
2.0%
밥 3
 
2.0%
유 3
 
2.0%
지 3
 
2.0%
Other values (83) 108
72.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 8
 
5.3%
탕 5
 
3.3%
기 5
 
3.3%
면 4
 
2.7%
자 4
 
2.7%
장 4
 
2.7%
비 3
 
2.0%
밥 3
 
2.0%
유 3
 
2.0%
지 3
 
2.0%
Other values (83) 108
72.0%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 8
 
5.3%
탕 5
 
3.3%
기 5
 
3.3%
면 4
 
2.7%
자 4
 
2.7%
장 4
 
2.7%
비 3
 
2.0%
밥 3
 
2.0%
유 3
 
2.0%
지 3
 
2.0%
Other values (83) 108
72.0%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

규격 및 단위
Text

Distinct47
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T02:13:53.390768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length11.464286
Min length1

Characters and Unicode

Total characters642
Distinct characters188
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)78.6%

Sample

1st row임금님표 이천쌀/10kg
2nd row풀무원 국산콩 무농약 콩나물/200g
3rd row깐마늘(중품) 100g
4th row양파 중망/1망
5th row흙대파/1단
ValueCountFrequency (%)
1그릇(보통 7
 
6.9%
조사가격을200g으로 4
 
4.0%
환산한 4
 
4.0%
가격 4
 
4.0%
100g~250g의 3
 
3.0%
1인분 2
 
2.0%
풀무원 2
 
2.0%
100g 2
 
2.0%
참이슬 1
 
1.0%
마린콜라겐 1
 
1.0%
Other values (71) 71
70.3%
2023-12-13T02:13:53.861044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
 
7.6%
1 47
 
7.3%
45
 
7.0%
/ 32
 
5.0%
g 30
 
4.7%
( 18
 
2.8%
) 18
 
2.8%
2 12
 
1.9%
통 12
 
1.9%
릇 11
 
1.7%
Other values (178) 368
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
50.3%
Decimal Number 137
21.3%
Space Separator 45
 
7.0%
Lowercase Letter 44
 
6.9%
Other Punctuation 41
 
6.4%
Open Punctuation 18
 
2.8%
Close Punctuation 18
 
2.8%
Math Symbol 8
 
1.2%
Uppercase Letter 5
 
0.8%
Other Symbol 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
통 12
 
3.7%
릇 11
 
3.4%
그 11
 
3.4%
보 10
 
3.1%
가 9
 
2.8%
격 8
 
2.5%
산 6
 
1.9%
개 6
 
1.9%
리 5
 
1.5%
로 5
 
1.5%
Other values (148) 240
74.3%
Decimal Number
ValueCountFrequency (%)
0 49
35.8%
1 47
34.3%
2 12
 
8.8%
5 10
 
7.3%
3 9
 
6.6%
8 5
 
3.6%
9 2
 
1.5%
6 1
 
0.7%
7 1
 
0.7%
4 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
g 30
68.2%
k 8
 
18.2%
ℓ 2
 
4.5%
m 2
 
4.5%
c 2
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
X 1
20.0%
L 1
20.0%
J 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 32
78.0%
, 6
 
14.6%
. 2
 
4.9%
% 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
∼ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
50.3%
Common 272
42.4%
Latin 47
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
통 12
 
3.7%
릇 11
 
3.4%
그 11
 
3.4%
보 10
 
3.1%
가 9
 
2.8%
격 8
 
2.5%
산 6
 
1.9%
개 6
 
1.9%
리 5
 
1.5%
로 5
 
1.5%
Other values (148) 240
74.3%
Common
ValueCountFrequency (%)
0 49
18.0%
1 47
17.3%
45
16.5%
/ 32
11.8%
( 18
 
6.6%
) 18
 
6.6%
2 12
 
4.4%
5 10
 
3.7%
3 9
 
3.3%
~ 7
 
2.6%
Other values (11) 25
9.2%
Latin
ValueCountFrequency (%)
g 30
63.8%
k 8
 
17.0%
m 2
 
4.3%
c 2
 
4.3%
O 1
 
2.1%
X 1
 
2.1%
L 1
 
2.1%
J 1
 
2.1%
C 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
50.3%
ASCII 313
48.8%
CJK Compat 3
 
0.5%
Letterlike Symbols 2
 
0.3%
Math Operators 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
15.7%
1 47
15.0%
45
14.4%
/ 32
10.2%
g 30
9.6%
( 18
 
5.8%
) 18
 
5.8%
2 12
 
3.8%
5 10
 
3.2%
3 9
 
2.9%
Other values (17) 43
13.7%
Hangul
ValueCountFrequency (%)
통 12
 
3.7%
릇 11
 
3.4%
그 11
 
3.4%
보 10
 
3.1%
가 9
 
2.8%
격 8
 
2.5%
산 6
 
1.9%
개 6
 
1.9%
리 5
 
1.5%
로 5
 
1.5%
Other values (148) 240
74.3%
CJK Compat
ValueCountFrequency (%)
㎖ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

2월 2주차가격(평균_원)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)100.0%
Missing7
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean7429.5102
Minimum527
Maximum39348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:54.028728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile1030.6
Q12600
median5600
Q39000
95-th percentile22103.4
Maximum39348
Range38821
Interquartile range (IQR)6400

Descriptive statistics

Standard deviation7463.2376
Coefficient of variation (CV)1.0045397
Kurtosis7.1320217
Mean7429.5102
Median Absolute Deviation (MAD)3034
Skewness2.4112001
Sum364046
Variance55699916
MonotonicityNot monotonic
2023-12-13T02:13:54.218130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6900 1
 
1.8%
1276 1
 
1.8%
11926 1
 
1.8%
6157 1
 
1.8%
20373 1
 
1.8%
9000 1
 
1.8%
7100 1
 
1.8%
7600 1
 
1.8%
12000 1
 
1.8%
7800 1
 
1.8%
Other values (39) 39
69.6%
(Missing) 7
 
12.5%
ValueCountFrequency (%)
527 1
1.8%
841 1
1.8%
909 1
1.8%
1213 1
1.8%
1276 1
1.8%
1471 1
1.8%
1573 1
1.8%
2083 1
1.8%
2222 1
1.8%
2346 1
1.8%
ValueCountFrequency (%)
39348 1
1.8%
28704 1
1.8%
23257 1
1.8%
20373 1
1.8%
15167 1
1.8%
12633 1
1.8%
12598 1
1.8%
12000 1
1.8%
11926 1
1.8%
10944 1
1.8%

2월 1주차가격(평균_원)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)100.0%
Missing7
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean7389.2041
Minimum499
Maximum39269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:54.363906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum499
5-th percentile1040.8
Q12846
median5600
Q39000
95-th percentile21693.4
Maximum39269
Range38770
Interquartile range (IQR)6154

Descriptive statistics

Standard deviation7414.1283
Coefficient of variation (CV)1.0033731
Kurtosis7.3215847
Mean7389.2041
Median Absolute Deviation (MAD)2900
Skewness2.4377927
Sum362071
Variance54969298
MonotonicityNot monotonic
2023-12-13T02:13:54.511610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6900 1
 
1.8%
1276 1
 
1.8%
11926 1
 
1.8%
6157 1
 
1.8%
19348 1
 
1.8%
9000 1
 
1.8%
7100 1
 
1.8%
7600 1
 
1.8%
12000 1
 
1.8%
7800 1
 
1.8%
Other values (39) 39
69.6%
(Missing) 7
 
12.5%
ValueCountFrequency (%)
499 1
1.8%
909 1
1.8%
926 1
1.8%
1213 1
1.8%
1276 1
1.8%
1421 1
1.8%
1573 1
1.8%
2083 1
1.8%
2222 1
1.8%
2566 1
1.8%
ValueCountFrequency (%)
39269 1
1.8%
28704 1
1.8%
23257 1
1.8%
19348 1
1.8%
15167 1
1.8%
12400 1
1.8%
12263 1
1.8%
12000 1
1.8%
11926 1
1.8%
11679 1
1.8%

등락여부
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
38 
상승
13 
하락
5 

Length

Max length4
Median length4
Mean length3.3571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상승
2nd row<NA>
3rd row하락
4th row상승
5th row하락

Common Values

ValueCountFrequency (%)
<NA> 38
67.9%
상승 13
 
23.2%
하락 5
 
8.9%

Length

2023-12-13T02:13:54.654941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:13:54.766503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
67.9%
상승 13
 
23.2%
하락 5
 
8.9%

등락가격(원)
Categorical

Distinct20
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
29 
<NA>
9 
85
 
1
138
 
1
500
 
1
Other values (15)
15 

Length

Max length7
Median length7
Mean length5.2142857
Min length2

Unique

Unique18 ?
Unique (%)32.1%

Sample

1st row79
2nd row
3rd row85
4th row138
5th row500

Common Values

ValueCountFrequency (%)
29
51.8%
<NA> 9
 
16.1%
85 1
 
1.8%
138 1
 
1.8%
500 1
 
1.8%
275 1
 
1.8%
250 1
 
1.8%
238 1
 
1.8%
426 1
 
1.8%
600 1
 
1.8%
Other values (10) 10
 
17.9%

Length

2023-12-13T02:13:54.885208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9
33.3%
279 1
 
3.7%
79 1
 
3.7%
17 1
 
3.7%
1,318 1
 
3.7%
1,025 1
 
3.7%
919 1
 
3.7%
28 1
 
3.7%
126 1
 
3.7%
50 1
 
3.7%
Other values (9) 9
33.3%

등락률(퍼센트)
Categorical

Distinct20
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
29 
<NA>
9 
9.2
 
1
4.6
 
1
17.6
 
1
Other values (15)
15 

Length

Max length6
Median length6
Mean length4.6607143
Min length1

Unique

Unique18 ?
Unique (%)32.1%

Sample

1st row0.2
2nd row
3rd row9.2
4th row4.6
5th row17.6

Common Values

ValueCountFrequency (%)
29
51.8%
<NA> 9
 
16.1%
9.2 1
 
1.8%
4.6 1
 
1.8%
17.6 1
 
1.8%
9.9 1
 
1.8%
8 1
 
1.8%
3 1
 
1.8%
11.8 1
 
1.8%
6 1
 
1.8%
Other values (10) 10
 
17.9%

Length

2023-12-13T02:13:55.004498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9
33.3%
4.9 1
 
3.7%
0.2 1
 
3.7%
0.4 1
 
3.7%
10.8 1
 
3.7%
5.3 1
 
3.7%
7.9 1
 
3.7%
5.7 1
 
3.7%
2.3 1
 
3.7%
3.5 1
 
3.7%
Other values (9) 9
33.3%

중구(이마트 동인천점) 가격
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)88.6%
Missing12
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean7641.9091
Minimum498
Maximum38700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:55.145063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum498
5-th percentile866.05
Q12740
median4330
Q38475
95-th percentile25545
Maximum38700
Range38202
Interquartile range (IQR)5735

Descriptive statistics

Standard deviation8212.5189
Coefficient of variation (CV)1.0746685
Kurtosis4.8077166
Mean7641.9091
Median Absolute Deviation (MAD)2550
Skewness2.1303604
Sum336244
Variance67445467
MonotonicityNot monotonic
2023-12-13T02:13:55.275010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3980 3
 
5.4%
3280 2
 
3.6%
1280 2
 
3.6%
6800 2
 
3.6%
7500 1
 
1.8%
9900 1
 
1.8%
4950 1
 
1.8%
26100 1
 
1.8%
7600 1
 
1.8%
4900 1
 
1.8%
Other values (29) 29
51.8%
(Missing) 12
21.4%
ValueCountFrequency (%)
498 1
1.8%
760 1
1.8%
793 1
1.8%
1280 2
3.6%
1480 1
1.8%
1700 1
1.8%
1980 1
1.8%
2133 1
1.8%
2280 1
1.8%
2560 1
1.8%
ValueCountFrequency (%)
38700 1
1.8%
29800 1
1.8%
26100 1
1.8%
22400 1
1.8%
15500 1
1.8%
14700 1
1.8%
13980 1
1.8%
13700 1
1.8%
12980 1
1.8%
12500 1
1.8%

중구 참고 사항
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing51
Missing (%)91.1%
Memory size580.0 B
2023-12-13T02:13:55.424540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.4
Min length5

Characters and Unicode

Total characters47
Distinct characters39
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

Unique5 ?
Unique (%)100.0%

Sample

1st row철원오대쌀
2nd row해표식용유
3rd row(3+1행사)
4th row1+1판매하지않고 낱개판매
5th row(엘라스틴세라마이드680ml)
ValueCountFrequency (%)
철원오대쌀 1
16.7%
해표식용유 1
16.7%
3+1행사 1
16.7%
1+1판매하지않고 1
16.7%
낱개판매 1
16.7%
엘라스틴세라마이드680ml 1
16.7%
2023-12-13T02:13:55.663081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
 
6.4%
+ 2
 
4.3%
매 2
 
4.3%
판 2
 
4.3%
) 2
 
4.3%
라 2
 
4.3%
( 2
 
4.3%
철 1
 
2.1%
개 1
 
2.1%
엘 1
 
2.1%
Other values (29) 29
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
66.0%
Decimal Number 7
 
14.9%
Math Symbol 2
 
4.3%
Close Punctuation 2
 
4.3%
Open Punctuation 2
 
4.3%
Lowercase Letter 2
 
4.3%
Space Separator 1
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 2
 
6.5%
판 2
 
6.5%
라 2
 
6.5%
철 1
 
3.2%
개 1
 
3.2%
엘 1
 
3.2%
스 1
 
3.2%
틴 1
 
3.2%
세 1
 
3.2%
마 1
 
3.2%
Other values (18) 18
58.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
6 1
 
14.3%
8 1
 
14.3%
0 1
 
14.3%
3 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
66.0%
Common 14
29.8%
Latin 2
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 2
 
6.5%
판 2
 
6.5%
라 2
 
6.5%
철 1
 
3.2%
개 1
 
3.2%
엘 1
 
3.2%
스 1
 
3.2%
틴 1
 
3.2%
세 1
 
3.2%
마 1
 
3.2%
Other values (18) 18
58.1%
Common
ValueCountFrequency (%)
1 3
21.4%
+ 2
14.3%
) 2
14.3%
( 2
14.3%
1
 
7.1%
6 1
 
7.1%
8 1
 
7.1%
0 1
 
7.1%
3 1
 
7.1%
Latin
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
66.0%
ASCII 16
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
18.8%
+ 2
12.5%
) 2
12.5%
( 2
12.5%
1
 
6.2%
6 1
 
6.2%
8 1
 
6.2%
0 1
 
6.2%
m 1
 
6.2%
3 1
 
6.2%
Hangul
ValueCountFrequency (%)
매 2
 
6.5%
판 2
 
6.5%
라 2
 
6.5%
철 1
 
3.2%
개 1
 
3.2%
엘 1
 
3.2%
스 1
 
3.2%
틴 1
 
3.2%
세 1
 
3.2%
마 1
 
3.2%
Other values (18) 18
58.1%

동구(이마트송림트레이더스) 가격
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing33
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean6738.7826
Minimum424
Maximum36980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:55.761631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum424
5-th percentile575.2
Q11263
median2880
Q39980
95-th percentile19580
Maximum36980
Range36556
Interquartile range (IQR)8717

Descriptive statistics

Standard deviation8626.4552
Coefficient of variation (CV)1.2801207
Kurtosis6.1235907
Mean6738.7826
Median Absolute Deviation (MAD)1880
Skewness2.2746712
Sum154992
Variance74415730
MonotonicityNot monotonic
2023-12-13T02:13:55.860362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1110 1
 
1.8%
1000 1
 
1.8%
12500 1
 
1.8%
12480 1
 
1.8%
15980 1
 
1.8%
1246 1
 
1.8%
7140 1
 
1.8%
2340 1
 
1.8%
1160 1
 
1.8%
19980 1
 
1.8%
Other values (13) 13
 
23.2%
(Missing) 33
58.9%
ValueCountFrequency (%)
424 1
1.8%
528 1
1.8%
1000 1
1.8%
1110 1
1.8%
1160 1
1.8%
1246 1
1.8%
1280 1
1.8%
1426 1
1.8%
1748 1
1.8%
1780 1
1.8%
ValueCountFrequency (%)
36980 1
1.8%
19980 1
1.8%
15980 1
1.8%
12500 1
1.8%
12480 1
1.8%
11980 1
1.8%
7980 1
1.8%
7140 1
1.8%
5780 1
1.8%
3990 1
1.8%

동구 참고 사항
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing41
Missing (%)73.2%
Memory size580.0 B
2023-12-13T02:13:56.030009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length12.666667
Min length4

Characters and Unicode

Total characters190
Distinct characters78
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row임금님표이천쌀
2nd row풀무원 국산무농약콩나물 500g=2780원
3rd row1kg=5280
4th row3kg 제품=4280
5th row한우등심
ValueCountFrequency (%)
임금님표이천쌀 1
 
4.0%
1kg*3=3480원 1
 
4.0%
빅 1
 
4.0%
에코크린 1
 
4.0%
코디 1
 
4.0%
7kg=15980원/환산 1
 
4.0%
비트 1
 
4.0%
6병묶음=7480 1
 
4.0%
1.5kg*214280 1
 
4.0%
우리쌀태양초골드고추장 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T02:13:56.313510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
 
8.4%
8 11
 
5.8%
g 11
 
5.8%
10
 
5.3%
= 8
 
4.2%
3 8
 
4.2%
k 8
 
4.2%
1 7
 
3.7%
4 6
 
3.2%
2 6
 
3.2%
Other values (68) 99
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
41.6%
Decimal Number 66
34.7%
Lowercase Letter 20
 
10.5%
Space Separator 10
 
5.3%
Math Symbol 9
 
4.7%
Other Punctuation 6
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 5
 
6.3%
무 3
 
3.8%
산 3
 
3.8%
우 2
 
2.5%
루 2
 
2.5%
부 2
 
2.5%
트 2
 
2.5%
고 2
 
2.5%
가 2
 
2.5%
추 2
 
2.5%
Other values (49) 54
68.4%
Decimal Number
ValueCountFrequency (%)
0 16
24.2%
8 11
16.7%
3 8
12.1%
1 7
10.6%
4 6
 
9.1%
2 6
 
9.1%
7 4
 
6.1%
5 4
 
6.1%
9 2
 
3.0%
6 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
g 11
55.0%
k 8
40.0%
m 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 3
50.0%
. 2
33.3%
/ 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
= 8
88.9%
+ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
47.9%
Hangul 79
41.6%
Latin 20
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 5
 
6.3%
무 3
 
3.8%
산 3
 
3.8%
우 2
 
2.5%
루 2
 
2.5%
부 2
 
2.5%
트 2
 
2.5%
고 2
 
2.5%
가 2
 
2.5%
추 2
 
2.5%
Other values (49) 54
68.4%
Common
ValueCountFrequency (%)
0 16
17.6%
8 11
12.1%
10
11.0%
= 8
8.8%
3 8
8.8%
1 7
7.7%
4 6
 
6.6%
2 6
 
6.6%
7 4
 
4.4%
5 4
 
4.4%
Other values (6) 11
12.1%
Latin
ValueCountFrequency (%)
g 11
55.0%
k 8
40.0%
m 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111
58.4%
Hangul 79
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
14.4%
8 11
9.9%
g 11
9.9%
10
9.0%
= 8
 
7.2%
3 8
 
7.2%
k 8
 
7.2%
1 7
 
6.3%
4 6
 
5.4%
2 6
 
5.4%
Other values (9) 20
18.0%
Hangul
ValueCountFrequency (%)
원 5
 
6.3%
무 3
 
3.8%
산 3
 
3.8%
우 2
 
2.5%
루 2
 
2.5%
부 2
 
2.5%
트 2
 
2.5%
고 2
 
2.5%
가 2
 
2.5%
추 2
 
2.5%
Other values (49) 54
68.4%

미추홀구(롯데마트 인천터미널점) 가격
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)89.2%
Missing19
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean7413.3243
Minimum598
Maximum40800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:56.442583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum598
5-th percentile760
Q12180
median4000
Q37000
95-th percentile24312
Maximum40800
Range40202
Interquartile range (IQR)4820

Descriptive statistics

Standard deviation8780.338
Coefficient of variation (CV)1.1843995
Kurtosis5.6571718
Mean7413.3243
Median Absolute Deviation (MAD)2400
Skewness2.3010366
Sum274293
Variance77094335
MonotonicityNot monotonic
2023-12-13T02:13:56.573708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
760 2
 
3.6%
5950 2
 
3.6%
3900 2
 
3.6%
1280 2
 
3.6%
14700 1
 
1.8%
3380 1
 
1.8%
1980 1
 
1.8%
22900 1
 
1.8%
19900 1
 
1.8%
4680 1
 
1.8%
Other values (23) 23
41.1%
(Missing) 19
33.9%
ValueCountFrequency (%)
598 1
1.8%
760 2
3.6%
1130 1
1.8%
1280 2
3.6%
1600 1
1.8%
1855 1
1.8%
1980 1
1.8%
2180 1
1.8%
2480 1
1.8%
2500 1
1.8%
ValueCountFrequency (%)
40800 1
1.8%
29960 1
1.8%
22900 1
1.8%
19900 1
1.8%
18000 1
1.8%
14700 1
1.8%
12000 1
1.8%
11400 1
1.8%
8000 1
1.8%
7000 1
1.8%

미추홀구 참고 사항
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing54
Missing (%)96.4%
Memory size580.0 B
2023-12-13T02:13:56.725233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9
Min length5

Characters and Unicode

Total characters18
Distinct characters18
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row1.5 L
2nd row엘라스틴데미지/680ml
ValueCountFrequency (%)
1.5 1
33.3%
l 1
33.3%
엘라스틴데미지/680ml 1
33.3%
2023-12-13T02:13:56.965328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
 
5.6%
. 1
 
5.6%
m 1
 
5.6%
0 1
 
5.6%
8 1
 
5.6%
6 1
 
5.6%
/ 1
 
5.6%
지 1
 
5.6%
미 1
 
5.6%
데 1
 
5.6%
Other values (8) 8
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
38.9%
Decimal Number 5
27.8%
Other Punctuation 2
 
11.1%
Lowercase Letter 2
 
11.1%
Uppercase Letter 1
 
5.6%
Space Separator 1
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1
14.3%
미 1
14.3%
데 1
14.3%
틴 1
14.3%
스 1
14.3%
라 1
14.3%
엘 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
0 1
20.0%
8 1
20.0%
6 1
20.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8
44.4%
Hangul 7
38.9%
Latin 3
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
12.5%
. 1
12.5%
0 1
12.5%
8 1
12.5%
6 1
12.5%
/ 1
12.5%
1
12.5%
5 1
12.5%
Hangul
ValueCountFrequency (%)
지 1
14.3%
미 1
14.3%
데 1
14.3%
틴 1
14.3%
스 1
14.3%
라 1
14.3%
엘 1
14.3%
Latin
ValueCountFrequency (%)
m 1
33.3%
L 1
33.3%
l 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11
61.1%
Hangul 7
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
9.1%
. 1
9.1%
m 1
9.1%
0 1
9.1%
8 1
9.1%
6 1
9.1%
/ 1
9.1%
L 1
9.1%
1
9.1%
5 1
9.1%
Hangul
ValueCountFrequency (%)
지 1
14.3%
미 1
14.3%
데 1
14.3%
틴 1
14.3%
스 1
14.3%
라 1
14.3%
엘 1
14.3%

남동구(홈플러스 구월점) 가격
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)94.3%
Missing21
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean7745.6
Minimum443
Maximum39900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:57.308089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443
5-th percentile953.4
Q12145
median3990
Q39945
95-th percentile25727
Maximum39900
Range39457
Interquartile range (IQR)7800

Descriptive statistics

Standard deviation9091.5187
Coefficient of variation (CV)1.1737656
Kurtosis4.1328497
Mean7745.6
Median Absolute Deviation (MAD)2400
Skewness2.0258934
Sum271096
Variance82655712
MonotonicityNot monotonic
2023-12-13T02:13:57.407017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2290 2
 
3.6%
3990 2
 
3.6%
15900 1
 
1.8%
1020 1
 
1.8%
3380 1
 
1.8%
23900 1
 
1.8%
4100 1
 
1.8%
12790 1
 
1.8%
1280 1
 
1.8%
9900 1
 
1.8%
Other values (23) 23
41.1%
(Missing) 21
37.5%
ValueCountFrequency (%)
443 1
1.8%
798 1
1.8%
1020 1
1.8%
1280 1
1.8%
1290 1
1.8%
1490 1
1.8%
1590 1
1.8%
1985 1
1.8%
2000 1
1.8%
2290 2
3.6%
ValueCountFrequency (%)
39900 1
1.8%
29990 1
1.8%
23900 1
1.8%
19900 1
1.8%
18400 1
1.8%
15900 1
1.8%
13500 1
1.8%
12790 1
1.8%
9990 1
1.8%
9900 1
1.8%

남동구 참고 사항
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing54
Missing (%)96.4%
Memory size580.0 B
2023-12-13T02:13:57.531246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6.5
Mean length6.5
Min length2

Characters and Unicode

Total characters13
Distinct characters10
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row8개
2nd row700g 13900원
ValueCountFrequency (%)
8개 1
33.3%
700g 1
33.3%
13900원 1
33.3%
2023-12-13T02:13:57.760430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
30.8%
8 1
 
7.7%
개 1
 
7.7%
7 1
 
7.7%
g 1
 
7.7%
1
 
7.7%
1 1
 
7.7%
3 1
 
7.7%
9 1
 
7.7%
원 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9
69.2%
Other Letter 2
 
15.4%
Lowercase Letter 1
 
7.7%
Space Separator 1
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
44.4%
8 1
 
11.1%
7 1
 
11.1%
1 1
 
11.1%
3 1
 
11.1%
9 1
 
11.1%
Other Letter
ValueCountFrequency (%)
개 1
50.0%
원 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10
76.9%
Hangul 2
 
15.4%
Latin 1
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
40.0%
8 1
 
10.0%
7 1
 
10.0%
1
 
10.0%
1 1
 
10.0%
3 1
 
10.0%
9 1
 
10.0%
Hangul
ValueCountFrequency (%)
개 1
50.0%
원 1
50.0%
Latin
ValueCountFrequency (%)
g 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11
84.6%
Hangul 2
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
36.4%
8 1
 
9.1%
7 1
 
9.1%
g 1
 
9.1%
1
 
9.1%
1 1
 
9.1%
3 1
 
9.1%
9 1
 
9.1%
Hangul
ValueCountFrequency (%)
개 1
50.0%
원 1
50.0%

연수구(롯데마트 연수점) 가격
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)79.4%
Missing22
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean6984.6471
Minimum598
Maximum40800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:57.866013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum598
5-th percentile760
Q12030
median3640
Q36995
95-th percentile25371
Maximum40800
Range40202
Interquartile range (IQR)4965

Descriptive statistics

Standard deviation8866.1652
Coefficient of variation (CV)1.2693791
Kurtosis6.6578802
Mean6984.6471
Median Absolute Deviation (MAD)2360
Skewness2.5274573
Sum237478
Variance78608885
MonotonicityNot monotonic
2023-12-13T02:13:58.034413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
760 2
 
3.6%
3380 2
 
3.6%
2480 2
 
3.6%
6980 2
 
3.6%
1280 2
 
3.6%
9900 2
 
3.6%
1980 2
 
3.6%
1130 1
 
1.8%
7000 1
 
1.8%
2500 1
 
1.8%
Other values (17) 17
30.4%
(Missing) 22
39.3%
ValueCountFrequency (%)
598 1
1.8%
760 2
3.6%
1130 1
1.8%
1280 2
3.6%
1600 1
1.8%
1980 2
3.6%
2180 1
1.8%
2480 2
3.6%
2500 1
1.8%
2570 1
1.8%
ValueCountFrequency (%)
40800 1
1.8%
29960 1
1.8%
22900 1
1.8%
19900 1
1.8%
11400 1
1.8%
9900 2
3.6%
7350 1
1.8%
7000 1
1.8%
6980 2
3.6%
6480 1
1.8%

연수구 참고 사항
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing46
Missing (%)82.1%
Memory size580.0 B
2023-12-13T02:13:58.208835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10.5
Mean length8.6
Min length3

Characters and Unicode

Total characters86
Distinct characters55
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

Unique10 ?
Unique (%)100.0%

Sample

1st row1.5kg
2nd row5-12개입
3rd row1등급
4th row하림큰닭고기1.1kg
5th row중력다목적용
ValueCountFrequency (%)
대체조사 2
14.3%
1.5kg 1
 
7.1%
5-12개입 1
 
7.1%
1등급 1
 
7.1%
하림큰닭고기1.1kg 1
 
7.1%
중력다목적용 1
 
7.1%
오뚜기콩기름 1
 
7.1%
380g 1
 
7.1%
1+1 1
 
7.1%
14700판매 1
 
7.1%
Other values (3) 3
21.4%
2023-12-13T02:13:58.508781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
 
9.3%
6
 
7.0%
g 4
 
4.7%
0 4
 
4.7%
기 3
 
3.5%
k 3
 
3.5%
5 2
 
2.3%
라 2
 
2.3%
4 2
 
2.3%
8 2
 
2.3%
Other values (45) 50
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
52.3%
Decimal Number 22
25.6%
Lowercase Letter 9
 
10.5%
Space Separator 6
 
7.0%
Other Punctuation 2
 
2.3%
Dash Punctuation 1
 
1.2%
Math Symbol 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
 
6.7%
라 2
 
4.4%
사 2
 
4.4%
조 2
 
4.4%
체 2
 
4.4%
대 2
 
4.4%
고 1
 
2.2%
닭 1
 
2.2%
판 1
 
2.2%
매 1
 
2.2%
Other values (28) 28
62.2%
Decimal Number
ValueCountFrequency (%)
1 8
36.4%
0 4
18.2%
5 2
 
9.1%
4 2
 
9.1%
8 2
 
9.1%
7 1
 
4.5%
6 1
 
4.5%
2 1
 
4.5%
3 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
g 4
44.4%
k 3
33.3%
m 1
 
11.1%
l 1
 
11.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45
52.3%
Common 32
37.2%
Latin 9
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
 
6.7%
라 2
 
4.4%
사 2
 
4.4%
조 2
 
4.4%
체 2
 
4.4%
대 2
 
4.4%
고 1
 
2.2%
닭 1
 
2.2%
판 1
 
2.2%
매 1
 
2.2%
Other values (28) 28
62.2%
Common
ValueCountFrequency (%)
1 8
25.0%
6
18.8%
0 4
12.5%
5 2
 
6.2%
4 2
 
6.2%
8 2
 
6.2%
. 2
 
6.2%
7 1
 
3.1%
- 1
 
3.1%
6 1
 
3.1%
Other values (3) 3
 
9.4%
Latin
ValueCountFrequency (%)
g 4
44.4%
k 3
33.3%
m 1
 
11.1%
l 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45
52.3%
ASCII 41
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
19.5%
6
14.6%
g 4
9.8%
0 4
9.8%
k 3
 
7.3%
5 2
 
4.9%
4 2
 
4.9%
8 2
 
4.9%
. 2
 
4.9%
7 1
 
2.4%
Other values (7) 7
17.1%
Hangul
ValueCountFrequency (%)
기 3
 
6.7%
라 2
 
4.4%
사 2
 
4.4%
조 2
 
4.4%
체 2
 
4.4%
대 2
 
4.4%
고 1
 
2.2%
닭 1
 
2.2%
판 1
 
2.2%
매 1
 
2.2%
Other values (28) 28
62.2%

부평구(롯데마트 부평점) 가격
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing17
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean7119.4615
Minimum475
Maximum40800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:58.621249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum475
5-th percentile994
Q11980
median3680
Q36465
95-th percentile25406
Maximum40800
Range40325
Interquartile range (IQR)4485

Descriptive statistics

Standard deviation8785.4817
Coefficient of variation (CV)1.2340093
Kurtosis5.7654725
Mean7119.4615
Median Absolute Deviation (MAD)2080
Skewness2.370796
Sum277659
Variance77184689
MonotonicityNot monotonic
2023-12-13T02:13:58.760363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1980 5
 
8.9%
3500 3
 
5.4%
6450 1
 
1.8%
22900 1
 
1.8%
3900 1
 
1.8%
14700 1
 
1.8%
1280 1
 
1.8%
13900 1
 
1.8%
5000 1
 
1.8%
24900 1
 
1.8%
Other values (23) 23
41.1%
(Missing) 17
30.4%
ValueCountFrequency (%)
475 1
 
1.8%
760 1
 
1.8%
1020 1
 
1.8%
1130 1
 
1.8%
1280 1
 
1.8%
1600 1
 
1.8%
1980 5
8.9%
1994 1
 
1.8%
2500 1
 
1.8%
2550 1
 
1.8%
ValueCountFrequency (%)
40800 1
1.8%
29960 1
1.8%
24900 1
1.8%
22900 1
1.8%
14700 1
1.8%
13900 1
1.8%
13500 1
1.8%
10600 1
1.8%
9900 1
1.8%
6480 1
1.8%

부평구 참고 사항
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing53
Missing (%)94.6%
Memory size580.0 B
2023-12-13T02:13:58.913795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters15
Distinct characters13
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row350g
2nd row오뚜기0.9
3rd row780ml
ValueCountFrequency (%)
350g 1
33.3%
오뚜기0.9 1
33.3%
780ml 1
33.3%
2023-12-13T02:13:59.194363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3
20.0%
3 1
 
6.7%
5 1
 
6.7%
g 1
 
6.7%
오 1
 
6.7%
뚜 1
 
6.7%
기 1
 
6.7%
. 1
 
6.7%
9 1
 
6.7%
7 1
 
6.7%
Other values (3) 3
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
53.3%
Lowercase Letter 3
 
20.0%
Other Letter 3
 
20.0%
Other Punctuation 1
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
37.5%
3 1
 
12.5%
5 1
 
12.5%
9 1
 
12.5%
7 1
 
12.5%
8 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
m 1
33.3%
l 1
33.3%
Other Letter
ValueCountFrequency (%)
오 1
33.3%
뚜 1
33.3%
기 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
60.0%
Latin 3
 
20.0%
Hangul 3
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
33.3%
3 1
 
11.1%
5 1
 
11.1%
. 1
 
11.1%
9 1
 
11.1%
7 1
 
11.1%
8 1
 
11.1%
Latin
ValueCountFrequency (%)
g 1
33.3%
m 1
33.3%
l 1
33.3%
Hangul
ValueCountFrequency (%)
오 1
33.3%
뚜 1
33.3%
기 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
80.0%
Hangul 3
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
25.0%
3 1
 
8.3%
5 1
 
8.3%
g 1
 
8.3%
. 1
 
8.3%
9 1
 
8.3%
7 1
 
8.3%
8 1
 
8.3%
m 1
 
8.3%
l 1
 
8.3%
Hangul
ValueCountFrequency (%)
오 1
33.3%
뚜 1
33.3%
기 1
33.3%

계양구(홈플러스 작전점) 가격
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)93.0%
Missing13
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean7461.4186
Minimum590
Maximum39900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:13:59.337119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum590
5-th percentile1281
Q12990
median4950
Q38500
95-th percentile23500
Maximum39900
Range39310
Interquartile range (IQR)5510

Descriptive statistics

Standard deviation7920.1335
Coefficient of variation (CV)1.0614782
Kurtosis7.1157585
Mean7461.4186
Median Absolute Deviation (MAD)2964
Skewness2.5131435
Sum320841
Variance62728515
MonotonicityNot monotonic
2023-12-13T02:13:59.494034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4990 2
 
3.6%
2690 2
 
3.6%
8500 2
 
3.6%
1280 1
 
1.8%
8950 1
 
1.8%
4950 1
 
1.8%
19900 1
 
1.8%
9000 1
 
1.8%
8000 1
 
1.8%
6900 1
 
1.8%
Other values (30) 30
53.6%
(Missing) 13
23.2%
ValueCountFrequency (%)
590 1
1.8%
1020 1
1.8%
1280 1
1.8%
1290 1
1.8%
1490 1
1.8%
1500 1
1.8%
1690 1
1.8%
1986 1
1.8%
2570 1
1.8%
2690 2
3.6%
ValueCountFrequency (%)
39900 1
1.8%
29990 1
1.8%
23900 1
1.8%
19900 1
1.8%
14700 1
1.8%
13900 1
1.8%
12000 1
1.8%
9990 1
1.8%
9000 1
1.8%
8950 1
1.8%

계양구참고 사항
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing41
Missing (%)73.2%
Memory size580.0 B
2023-12-13T02:13:59.684223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.6666667
Min length2

Characters and Unicode

Total characters130
Distinct characters51
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

Unique15 ?
Unique (%)100.0%

Sample

1st row 700g 13900
2nd row500g 2마리 묶음(할인판매)
3rd row제주 감자
4th row해표
5th row낱개 판매 1개 1000
ValueCountFrequency (%)
2마리 2
 
6.7%
행사 2
 
6.7%
할인 2
 
6.7%
700g 1
 
3.3%
2개 1
 
3.3%
14990 1
 
3.3%
미니김밥(1인분 1
 
3.3%
차돌된장찌개 1
 
3.3%
참치김치찌개 1
 
3.3%
꼬막비빔밥 1
 
3.3%
Other values (17) 17
56.7%
2023-12-13T02:14:00.059302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
13.1%
0 15
 
11.5%
1 8
 
6.2%
9 6
 
4.6%
개 5
 
3.8%
인 5
 
3.8%
g 4
 
3.1%
할 4
 
3.1%
( 3
 
2.3%
4 3
 
2.3%
Other values (41) 60
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57
43.8%
Decimal Number 42
32.3%
Space Separator 17
 
13.1%
Lowercase Letter 7
 
5.4%
Open Punctuation 3
 
2.3%
Close Punctuation 3
 
2.3%
Math Symbol 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 5
 
8.8%
인 5
 
8.8%
할 4
 
7.0%
묶 2
 
3.5%
음 2
 
3.5%
치 2
 
3.5%
김 2
 
3.5%
사 2
 
3.5%
행 2
 
3.5%
찌 2
 
3.5%
Other values (24) 29
50.9%
Decimal Number
ValueCountFrequency (%)
0 15
35.7%
1 8
19.0%
9 6
 
14.3%
4 3
 
7.1%
2 3
 
7.1%
3 3
 
7.1%
7 2
 
4.8%
8 1
 
2.4%
5 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
g 4
57.1%
c 1
 
14.3%
k 1
 
14.3%
m 1
 
14.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
50.8%
Hangul 57
43.8%
Latin 7
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 5
 
8.8%
인 5
 
8.8%
할 4
 
7.0%
묶 2
 
3.5%
음 2
 
3.5%
치 2
 
3.5%
김 2
 
3.5%
사 2
 
3.5%
행 2
 
3.5%
찌 2
 
3.5%
Other values (24) 29
50.9%
Common
ValueCountFrequency (%)
17
25.8%
0 15
22.7%
1 8
12.1%
9 6
 
9.1%
( 3
 
4.5%
4 3
 
4.5%
) 3
 
4.5%
2 3
 
4.5%
3 3
 
4.5%
7 2
 
3.0%
Other values (3) 3
 
4.5%
Latin
ValueCountFrequency (%)
g 4
57.1%
c 1
 
14.3%
k 1
 
14.3%
m 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
56.2%
Hangul 57
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
23.3%
0 15
20.5%
1 8
11.0%
9 6
 
8.2%
g 4
 
5.5%
( 3
 
4.1%
4 3
 
4.1%
) 3
 
4.1%
2 3
 
4.1%
3 3
 
4.1%
Other values (7) 8
11.0%
Hangul
ValueCountFrequency (%)
개 5
 
8.8%
인 5
 
8.8%
할 4
 
7.0%
묶 2
 
3.5%
음 2
 
3.5%
치 2
 
3.5%
김 2
 
3.5%
사 2
 
3.5%
행 2
 
3.5%
찌 2
 
3.5%
Other values (24) 29
50.9%

서구(홈플러스 가좌점) 가격
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing15
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean6965.3902
Minimum590
Maximum36900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T02:14:00.225391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum590
5-th percentile1020
Q12570
median4100
Q37500
95-th percentile23900
Maximum36900
Range36310
Interquartile range (IQR)4930

Descriptive statistics

Standard deviation7797.734
Coefficient of variation (CV)1.1194971
Kurtosis6.2645899
Mean6965.3902
Median Absolute Deviation (MAD)2410
Skewness2.4580344
Sum285581
Variance60804656
MonotonicityNot monotonic
2023-12-13T02:14:00.370553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6990 2
 
3.6%
2290 2
 
3.6%
2990 2
 
3.6%
4100 1
 
1.8%
14700 1
 
1.8%
1280 1
 
1.8%
8950 1
 
1.8%
4950 1
 
1.8%
19900 1
 
1.8%
9000 1
 
1.8%
Other values (28) 28
50.0%
(Missing) 15
26.8%
ValueCountFrequency (%)
590 1
1.8%
830 1
1.8%
1020 1
1.8%
1280 1
1.8%
1290 1
1.8%
1490 1
1.8%
1690 1
1.8%
2290 2
3.6%
2500 1
1.8%
2570 1
1.8%
ValueCountFrequency (%)
36900 1
1.8%
29990 1
1.8%
23900 1
1.8%
19900 1
1.8%
14700 1
1.8%
9990 1
1.8%
9900 1
1.8%
9000 1
1.8%
8990 1
1.8%
8950 1
1.8%

서구 참고 사항
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing46
Missing (%)82.1%
Memory size580.0 B
2023-12-13T02:14:00.623017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10.5
Mean length7.9
Min length3

Characters and Unicode

Total characters79
Distinct characters48
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

Unique10 ?
Unique (%)100.0%

Sample

1st row대왕님여주
2nd row300x2490
3rd row손질된팩포장2x7590
4th row일품포크
5th row황금닭
ValueCountFrequency (%)
대왕님여주 1
9.1%
300x2490 1
9.1%
손질된팩포장2x7590 1
9.1%
일품포크 1
9.1%
황금닭 1
9.1%
행사가격 1
9.1%
4x4개입=17900 1
9.1%
680g 1
9.1%
1+1=9900(세일 1
9.1%
1층매장 1
9.1%
2023-12-13T02:14:00.988334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
 
11.4%
1 5
 
6.3%
9 5
 
6.3%
x 3
 
3.8%
4 3
 
3.8%
= 2
 
2.5%
격 2
 
2.5%
가 2
 
2.5%
사 2
 
2.5%
행 2
 
2.5%
Other values (38) 44
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38
48.1%
Decimal Number 30
38.0%
Lowercase Letter 4
 
5.1%
Math Symbol 3
 
3.8%
Space Separator 2
 
2.5%
Close Punctuation 1
 
1.3%
Open Punctuation 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
격 2
 
5.3%
가 2
 
5.3%
사 2
 
5.3%
행 2
 
5.3%
일 2
 
5.3%
장 2
 
5.3%
포 2
 
5.3%
세 1
 
2.6%
층 1
 
2.6%
매 1
 
2.6%
Other values (21) 21
55.3%
Decimal Number
ValueCountFrequency (%)
0 9
30.0%
1 5
16.7%
9 5
16.7%
4 3
 
10.0%
7 2
 
6.7%
2 2
 
6.7%
8 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
x 3
75.0%
g 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38
48.1%
Common 37
46.8%
Latin 4
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
격 2
 
5.3%
가 2
 
5.3%
사 2
 
5.3%
행 2
 
5.3%
일 2
 
5.3%
장 2
 
5.3%
포 2
 
5.3%
세 1
 
2.6%
층 1
 
2.6%
매 1
 
2.6%
Other values (21) 21
55.3%
Common
ValueCountFrequency (%)
0 9
24.3%
1 5
13.5%
9 5
13.5%
4 3
 
8.1%
= 2
 
5.4%
2
 
5.4%
7 2
 
5.4%
2 2
 
5.4%
) 1
 
2.7%
( 1
 
2.7%
Other values (5) 5
13.5%
Latin
ValueCountFrequency (%)
x 3
75.0%
g 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
51.9%
Hangul 38
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
22.0%
1 5
12.2%
9 5
12.2%
x 3
 
7.3%
4 3
 
7.3%
= 2
 
4.9%
2
 
4.9%
7 2
 
4.9%
2 2
 
4.9%
) 1
 
2.4%
Other values (7) 7
17.1%
Hangul
ValueCountFrequency (%)
격 2
 
5.3%
가 2
 
5.3%
사 2
 
5.3%
행 2
 
5.3%
일 2
 
5.3%
장 2
 
5.3%
포 2
 
5.3%
세 1
 
2.6%
층 1
 
2.6%
매 1
 
2.6%
Other values (21) 21
55.3%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

Sample

구분품목규격 및 단위2월 2주차가격(평균_원)2월 1주차가격(평균_원)등락여부등락가격(원)등락률(퍼센트)중구(이마트 동인천점) 가격중구 참고 사항동구(이마트송림트레이더스) 가격동구 참고 사항미추홀구(롯데마트 인천터미널점) 가격미추홀구 참고 사항남동구(홈플러스 구월점) 가격남동구 참고 사항연수구(롯데마트 연수점) 가격연수구 참고 사항부평구(롯데마트 부평점) 가격부평구 참고 사항계양구(홈플러스 작전점) 가격계양구참고 사항서구(홈플러스 가좌점) 가격서구 참고 사항비고
0농축수산물(18)쌀임금님표 이천쌀/10kg3934839269상승790.238700철원오대쌀36980임금님표이천쌀40800<NA>39900<NA>40800<NA>40800<NA>39900<NA>36900대왕님여주<NA>
1농축수산물(18)콩나물풀무원 국산콩 무농약 콩나물/200g15731573<NA>1700<NA>1110풀무원 국산무농약콩나물 500g=2780원1600<NA>1590<NA>1600<NA>1600<NA>1690<NA>1690<NA><NA>
2농축수산물(18)마늘깐마늘(중품) 100g841926하락859.2793<NA>5281kg=5280760<NA>798<NA>760<NA>760<NA>1500<NA>830300x2490<NA>
3농축수산물(18)양파양파 중망/1망31272990상승1384.63280<NA>14263kg 제품=42802980<NA>3390<NA>33801.5kg2980<NA>4390<NA>3190<NA><NA>
4농축수산물(18)대파흙대파/1단23462846하락50017.62280<NA>2880<NA>2180<NA>2290<NA>2180<NA>1980<NA>2690<NA>2290<NA><NA>
5농축수산물(18)무재래종, 잎없음 15~20cm25092784하락2759.92980<NA>1780<NA>2480<NA>2690<NA>2480<NA>1980<NA>2690<NA>2990<NA><NA>
6농축수산물(18)배추통배추/1포기33843134상승25083280<NA>3280<NA>3480<NA>3290<NA>3480<NA>3680<NA>3290<NA>3290<NA><NA>
7농축수산물(18)사과5~12개/2.5~3kg81097871상승23837980<NA>11980<NA>6980<NA>79908개69805-12개입5980<NA>7990<NA>8990<NA><NA>
8농축수산물(18)고등어1마리/35∼38cm40363611상승42611.83980<NA><NA><NA>4900<NA>3990<NA>3800<NA>3800<NA>3990<NA>3795손질된팩포장2x7590<NA>
9농축수산물(18)멸치국물용 멸치/100g22222222<NA>2133<NA>1748<NA>1855<NA>1985700g 13900원2480<NA>1994350g1986700g 139003596<NA><NA>
구분품목규격 및 단위2월 2주차가격(평균_원)2월 1주차가격(평균_원)등락여부등락가격(원)등락률(퍼센트)중구(이마트 동인천점) 가격중구 참고 사항동구(이마트송림트레이더스) 가격동구 참고 사항미추홀구(롯데마트 인천터미널점) 가격미추홀구 참고 사항남동구(홈플러스 구월점) 가격남동구 참고 사항연수구(롯데마트 연수점) 가격연수구 참고 사항부평구(롯데마트 부평점) 가격부평구 참고 사항계양구(홈플러스 작전점) 가격계양구참고 사항서구(홈플러스 가좌점) 가격서구 참고 사항비고
46외식비(25)불고기180g~200g의 조사가격을200g으로 환산한 가격<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
47외식비(25)김밥1줄32003200<NA><NA><NA><NA><NA>4000<NA><NA><NA>2500<NA>2500<NA>4000미니김밥(1인분)3000<NA><NA>
48외식비(25)돈까스1인분77507750<NA>8000<NA><NA><NA><NA><NA><NA><NA>7000<NA><NA><NA>8500<NA>7500<NA><NA>
49외식비(25)탕수육중1516715167<NA>15500<NA><NA><NA>18000<NA><NA><NA><NA><NA><NA><NA>12000<NA><NA><NA><NA>
50외식비(25)치킨프라이드 1마리1094412263하락1,31810.812980<NA><NA><NA><NA><NA>18400<NA>9900<NA>9900<NA>74952마리 149906990네이처1마리행사가격<NA>
51외식비(25)햄버거불고기버거 1개37673750상승170.43500<NA><NA><NA>3900<NA>3900<NA><NA><NA>3500<NA>3900<NA>3900<NA><NA>
52외식비(25)피자일반피자(L)/1판1263312400상승2331.912500<NA>12500<NA><NA><NA>13500<NA><NA><NA>13500<NA>1390043cm9900<NA><NA>
53외식비(25)생맥주500㎖/1잔<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54외식비(25)국산차녹차/1잔31503150<NA>2800<NA><NA><NA><NA><NA><NA><NA><NA><NA>3500<NA><NA><NA><NA><NA><NA>
55외식비(25)커피1잔26002600<NA>3200<NA>1000<NA>2500<NA>2000<NA><NA><NA>3500<NA>3500<NA>2500<NA><NA>