Overview

Dataset statistics

Number of variables8
Number of observations78
Missing cells79
Missing cells (%)12.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory66.7 B

Variable types

Text3
Categorical4
Numeric1

Dataset

Description경상북도 군위군의 물가동향정보에 대한 데이터로 품목, 기본조사규격, 세부조사규격, 단위, 가격, 관리기관전화번호, 관리기관명, 데이터기준일자 항목을 제공합니다.
Author경상북도 군위군
URLhttps://www.data.go.kr/data/3069507/fileData.do

Alerts

관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
세부조사규격 has 60 (76.9%) missing valuesMissing
가격 has 19 (24.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:02:32.204020
Analysis finished2023-12-12 08:02:33.372215
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목별
Text

Distinct76
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T17:02:33.586003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.6666667
Min length1

Characters and Unicode

Total characters286
Distinct characters132
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

Unique74 ?
Unique (%)94.9%

Sample

1st row쌀
2nd row보리쌀
3rd row콩
4th row소고기
5th row돼지고기
ValueCountFrequency (%)
공동주택관리비 2
 
2.6%
목욕료 2
 
2.6%
햄버거 1
 
1.3%
치킨 1
 
1.3%
국산차(외식 1
 
1.3%
커피(외식 1
 
1.3%
김밥 1
 
1.3%
라면(외식 1
 
1.3%
칼국수 1
 
1.3%
피자 1
 
1.3%
Other values (66) 66
84.6%
2023-12-12T17:02:34.044122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
료 20
 
7.0%
용 12
 
4.2%
이 10
 
3.5%
( 8
 
2.8%
) 8
 
2.8%
기 8
 
2.8%
고 7
 
2.4%
식 7
 
2.4%
장 6
 
2.1%
외 6
 
2.1%
Other values (122) 194
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
93.7%
Open Punctuation 8
 
2.8%
Close Punctuation 8
 
2.8%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 20
 
7.5%
용 12
 
4.5%
이 10
 
3.7%
기 8
 
3.0%
고 7
 
2.6%
식 7
 
2.6%
장 6
 
2.2%
외 6
 
2.2%
비 5
 
1.9%
관 5
 
1.9%
Other values (118) 182
67.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
93.7%
Common 16
 
5.6%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 20
 
7.5%
용 12
 
4.5%
이 10
 
3.7%
기 8
 
3.0%
고 7
 
2.6%
식 7
 
2.6%
장 6
 
2.2%
외 6
 
2.2%
비 5
 
1.9%
관 5
 
1.9%
Other values (118) 182
67.9%
Common
ValueCountFrequency (%)
( 8
50.0%
) 8
50.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
93.7%
ASCII 18
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
료 20
 
7.5%
용 12
 
4.5%
이 10
 
3.7%
기 8
 
3.0%
고 7
 
2.6%
식 7
 
2.6%
장 6
 
2.2%
외 6
 
2.2%
비 5
 
1.9%
관 5
 
1.9%
Other values (118) 182
67.9%
ASCII
ValueCountFrequency (%)
( 8
44.4%
) 8
44.4%
C 1
 
5.6%
P 1
 
5.6%

기본조사규격
Text

Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T17:02:34.380339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length22
Mean length11.961538
Min length2

Characters and Unicode

Total characters933
Distinct characters211
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)94.9%

Sample

1st row포장미, 정미
2nd row통보리쌀
3rd row백태
4th row한우, 정육
5th row정육
ValueCountFrequency (%)
1인분(보통 7
 
3.9%
길이 5
 
2.8%
무게 5
 
2.8%
200g정도 4
 
2.2%
1인분 3
 
1.7%
포함 3
 
1.7%
개당 3
 
1.7%
성인 3
 
1.7%
중품 3
 
1.7%
것 2
 
1.1%
Other values (126) 140
78.7%
2023-12-12T17:02:34.876653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
12.6%
0 39
 
4.2%
) 38
 
4.1%
( 38
 
4.1%
, 36
 
3.9%
인 24
 
2.6%
1 21
 
2.3%
5 16
 
1.7%
통 16
 
1.7%
정 16
 
1.7%
Other values (201) 571
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
57.3%
Space Separator 118
 
12.6%
Decimal Number 117
 
12.5%
Close Punctuation 40
 
4.3%
Open Punctuation 40
 
4.3%
Other Punctuation 39
 
4.2%
Lowercase Letter 34
 
3.6%
Math Symbol 6
 
0.6%
Other Symbol 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 24
 
4.5%
통 16
 
3.0%
정 16
 
3.0%
일 15
 
2.8%
기 15
 
2.8%
분 15
 
2.8%
보 14
 
2.6%
반 14
 
2.6%
도 13
 
2.4%
이 9
 
1.7%
Other values (173) 384
71.8%
Decimal Number
ValueCountFrequency (%)
0 39
33.3%
1 21
17.9%
5 16
13.7%
2 15
 
12.8%
3 9
 
7.7%
6 6
 
5.1%
8 4
 
3.4%
4 4
 
3.4%
7 2
 
1.7%
9 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
g 15
44.1%
m 8
23.5%
c 7
20.6%
k 2
 
5.9%
l 1
 
2.9%
ℓ 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 4
66.7%
× 1
 
16.7%
～ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 38
95.0%
] 2
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 38
95.0%
[ 2
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 36
92.3%
. 3
 
7.7%
Other Symbol
ValueCountFrequency (%)
㎡ 2
50.0%
㎖ 2
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
57.3%
Common 365
39.1%
Latin 33
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 24
 
4.5%
통 16
 
3.0%
정 16
 
3.0%
일 15
 
2.8%
기 15
 
2.8%
분 15
 
2.8%
보 14
 
2.6%
반 14
 
2.6%
도 13
 
2.4%
이 9
 
1.7%
Other values (173) 384
71.8%
Common
ValueCountFrequency (%)
118
32.3%
0 39
 
10.7%
) 38
 
10.4%
( 38
 
10.4%
, 36
 
9.9%
1 21
 
5.8%
5 16
 
4.4%
2 15
 
4.1%
3 9
 
2.5%
6 6
 
1.6%
Other values (13) 29
 
7.9%
Latin
ValueCountFrequency (%)
g 15
45.5%
m 8
24.2%
c 7
21.2%
k 2
 
6.1%
l 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
57.3%
ASCII 391
41.9%
CJK Compat 4
 
0.4%
None 2
 
0.2%
Letterlike Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
30.2%
0 39
 
10.0%
) 38
 
9.7%
( 38
 
9.7%
, 36
 
9.2%
1 21
 
5.4%
5 16
 
4.1%
g 15
 
3.8%
2 15
 
3.8%
3 9
 
2.3%
Other values (13) 46
 
11.8%
Hangul
ValueCountFrequency (%)
인 24
 
4.5%
통 16
 
3.0%
정 16
 
3.0%
일 15
 
2.8%
기 15
 
2.8%
분 15
 
2.8%
보 14
 
2.6%
반 14
 
2.6%
도 13
 
2.4%
이 9
 
1.7%
Other values (173) 384
71.8%
CJK Compat
ValueCountFrequency (%)
㎡ 2
50.0%
㎖ 2
50.0%
None
ValueCountFrequency (%)
× 1
50.0%
～ 1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%

세부조사규격
Text

MISSING 

Distinct16
Distinct (%)88.9%
Missing60
Missing (%)76.9%
Memory size756.0 B
2023-12-12T17:02:35.094498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length4.7777778
Min length2

Characters and Unicode

Total characters86
Distinct characters55
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

Unique14 ?
Unique (%)77.8%

Sample

1st row등심 2등급
2nd row삼겹살
3rd row참조기
4th row냉동
5th row냉동
ValueCountFrequency (%)
냉동 2
 
8.3%
제외한 2
 
8.3%
전금액 2
 
8.3%
개별부과금 2
 
8.3%
생율 1
 
4.2%
참소주 1
 
4.2%
우체국 1
 
4.2%
국산 1
 
4.2%
해표식용유 1
 
4.2%
고소한참기름 1
 
4.2%
Other values (10) 10
41.7%
2023-12-12T17:02:35.539730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
7.0%
금 4
 
4.7%
한 3
 
3.5%
기 3
 
3.5%
참 3
 
3.5%
냉 2
 
2.3%
등 2
 
2.3%
고 2
 
2.3%
소 2
 
2.3%
지 2
 
2.3%
Other values (45) 57
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
87.2%
Space Separator 6
 
7.0%
Uppercase Letter 2
 
2.3%
Open Punctuation 1
 
1.2%
Decimal Number 1
 
1.2%
Close Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 4
 
5.3%
한 3
 
4.0%
기 3
 
4.0%
참 3
 
4.0%
냉 2
 
2.7%
등 2
 
2.7%
고 2
 
2.7%
소 2
 
2.7%
지 2
 
2.7%
후 2
 
2.7%
Other values (39) 50
66.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
87.2%
Common 9
 
10.5%
Latin 2
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 4
 
5.3%
한 3
 
4.0%
기 3
 
4.0%
참 3
 
4.0%
냉 2
 
2.7%
등 2
 
2.7%
고 2
 
2.7%
소 2
 
2.7%
지 2
 
2.7%
후 2
 
2.7%
Other values (39) 50
66.7%
Common
ValueCountFrequency (%)
6
66.7%
( 1
 
11.1%
2 1
 
11.1%
) 1
 
11.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
87.2%
ASCII 11
 
12.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
54.5%
( 1
 
9.1%
B 1
 
9.1%
2 1
 
9.1%
) 1
 
9.1%
O 1
 
9.1%
Hangul
ValueCountFrequency (%)
금 4
 
5.3%
한 3
 
4.0%
기 3
 
4.0%
참 3
 
4.0%
냉 2
 
2.7%
등 2
 
2.7%
고 2
 
2.7%
소 2
 
2.7%
지 2
 
2.7%
후 2
 
2.7%
Other values (39) 50
66.7%

단위
Categorical

Distinct28
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size756.0 B
1그릇
14 
1회
12 
1kg
8 
1개
4 
1인분
4 
Other values (23)
36 

Length

Max length5
Median length4.5
Mean length2.6923077
Min length2

Unique

Unique15 ?
Unique (%)19.2%

Sample

1st row20kg
2nd row1kg
3rd row1kg
4th row600g
5th row600g

Common Values

ValueCountFrequency (%)
1그릇 14
17.9%
1회 12
15.4%
1kg 8
 
10.3%
1개 4
 
5.1%
1인분 4
 
5.1%
1병 4
 
5.1%
1일 3
 
3.8%
1개월 3
 
3.8%
1마리 3
 
3.8%
20kg 2
 
2.6%
Other values (18) 21
26.9%

Length

2023-12-12T17:02:35.732773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1그릇 14
17.9%
1회 12
15.4%
1kg 8
 
10.3%
1개 4
 
5.1%
1인분 4
 
5.1%
1병 4
 
5.1%
1일 3
 
3.8%
1개월 3
 
3.8%
1마리 3
 
3.8%
1잔 2
 
2.6%
Other values (18) 21
26.9%

가격
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)42.4%
Missing19
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean10246.61
Minimum1500
Maximum55000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T17:02:35.910011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1500
5-th percentile1960
Q15000
median7000
Q310000
95-th percentile21500
Maximum55000
Range53500
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation10434.851
Coefficient of variation (CV)1.018371
Kurtosis10.544821
Mean10246.61
Median Absolute Deviation (MAD)3000
Skewness3.0216546
Sum604550
Variance1.0888611 × 108
MonotonicityNot monotonic
2023-12-12T17:02:36.081616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10000 8
10.3%
6000 8
10.3%
7000 4
 
5.1%
5000 4
 
5.1%
20000 4
 
5.1%
4000 3
 
3.8%
3000 3
 
3.8%
9000 2
 
2.6%
2500 2
 
2.6%
55000 2
 
2.6%
Other values (15) 19
24.4%
(Missing) 19
24.4%
ValueCountFrequency (%)
1500 1
 
1.3%
1550 1
 
1.3%
1600 1
 
1.3%
2000 1
 
1.3%
2300 1
 
1.3%
2500 2
 
2.6%
3000 3
 
3.8%
4000 3
 
3.8%
5000 4
5.1%
6000 8
10.3%
ValueCountFrequency (%)
55000 2
 
2.6%
35000 1
 
1.3%
20000 4
5.1%
19000 1
 
1.3%
18000 1
 
1.3%
17000 1
 
1.3%
14000 1
 
1.3%
13000 2
 
2.6%
12000 1
 
1.3%
10000 8
10.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
054-380-6234
78 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-380-6234
2nd row054-380-6234
3rd row054-380-6234
4th row054-380-6234
5th row054-380-6234

Common Values

ValueCountFrequency (%)
054-380-6234 78
100.0%

Length

2023-12-12T17:02:36.266190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:02:36.403945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-380-6234 78
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
경상북도 군위군청
78 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 군위군청
2nd row경상북도 군위군청
3rd row경상북도 군위군청
4th row경상북도 군위군청
5th row경상북도 군위군청

Common Values

ValueCountFrequency (%)
경상북도 군위군청 78
100.0%

Length

2023-12-12T17:02:36.543935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:02:36.639558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 78
50.0%
군위군청 78
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2022-09-05
78 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-05
2nd row2022-09-05
3rd row2022-09-05
4th row2022-09-05
5th row2022-09-05

Common Values

ValueCountFrequency (%)
2022-09-05 78
100.0%

Length

2023-12-12T17:02:36.775251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:02:36.884588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-05 78
100.0%

Interactions

2023-12-12T17:02:32.923681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:02:36.957582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목별기본조사규격세부조사규격단위가격
품목별1.0000.9871.0001.0001.000
기본조사규격0.9871.0001.0001.0000.985
세부조사규격1.0001.0001.0001.0000.924
단위1.0001.0001.0001.0000.847
가격1.0000.9850.9240.8471.000
2023-12-12T17:02:37.420077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격단위
가격1.0000.429
단위0.4291.000

Missing values

2023-12-12T17:02:33.073979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:02:33.216422image/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.
2023-12-12T17:02:33.324165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

품목별기본조사규격세부조사규격단위가격관리기관전화번호관리기관명데이터기준일자
0쌀포장미, 정미<NA>20kg55000054-380-6234경상북도 군위군청2022-09-05
1보리쌀통보리쌀<NA>1kg5000054-380-6234경상북도 군위군청2022-09-05
2콩백태<NA>1kg7500054-380-6234경상북도 군위군청2022-09-05
3소고기한우, 정육등심 2등급600g55000054-380-6234경상북도 군위군청2022-09-05
4돼지고기정육삼겹살600g19000054-380-6234경상북도 군위군청2022-09-05
5닭고기육계(목,발,내장,털 제거)<NA>1kg8000054-380-6234경상북도 군위군청2022-09-05
6달걀개당 65g정도(특란)<NA>30개6800054-380-6234경상북도 군위군청2022-09-05
7조기길이 20~25cm (무게 마리당 180~350g)참조기5마리20000054-380-6234경상북도 군위군청2022-09-05
8갈치길이 60cm정도냉동1마리10000054-380-6234경상북도 군위군청2022-09-05
9명태길이 50cm정도 (무게 700~800g)냉동1마리6000054-380-6234경상북도 군위군청2022-09-05
품목별기본조사규격세부조사규격단위가격관리기관전화번호관리기관명데이터기준일자
68사진촬영료반명함판 칼라(3×4cm)<NA>1조<NA>054-380-6234경상북도 군위군청2022-09-05
69사진인화료필름사진 인화요금후지필름1롤<NA>054-380-6234경상북도 군위군청2022-09-05
70숙박료(호텔)평일, 스탠다드(부가세 및 봉사료 포함)<NA>1일<NA>054-380-6234경상북도 군위군청2022-09-05
71숙박료(여관)독방 1박, 욕실부설<NA>1일<NA>054-380-6234경상북도 군위군청2022-09-05
72콘도이용료25평 정도, 1일 이용료<NA>1일<NA>054-380-6234경상북도 군위군청2022-09-05
73이용료성인조발, 중류급<NA>1회10000054-380-6234경상북도 군위군청2022-09-05
74미용료성인여자(컷트), 중류급<NA>1회10000054-380-6234경상북도 군위군청2022-09-05
75목욕료일반대중탕, 성인<NA>1회5000054-380-6234경상북도 군위군청2022-09-05
76목욕료일반대중탕, 아동(6세이하)<NA>1회4000054-380-6234경상북도 군위군청2022-09-05
77찜질방이용료성인, 찜질복대여료 포함<NA>1회<NA>054-380-6234경상북도 군위군청2022-09-05