Overview

Dataset statistics

Number of variables7
Number of observations744
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.8 KiB
Average record size in memory56.2 B

Variable types

Categorical4
Text3

Dataset

Description경기도 수원시 물가동향 데이터로 생활 밀접품목 가격동향, 생활 밀접품목 가격동향 월별 물가동향 등의 정보를 포함합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15010720/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:35:07.396060
Analysis finished2024-04-06 08:35:08.730445
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-03-04
248 
2024-03-14
248 
2024-03-24
248 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-04
2nd row2024-03-04
3rd row2024-03-04
4th row2024-03-04
5th row2024-03-04

Common Values

ValueCountFrequency (%)
2024-03-04 248
33.3%
2024-03-14 248
33.3%
2024-03-24 248
33.3%

Length

2024-04-06T17:35:08.901852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:35:09.137402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-04 248
33.3%
2024-03-14 248
33.3%
2024-03-24 248
33.3%

시군구명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
장안구
186 
권선구
186 
팔달구
186 
영통구
186 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장안구 186
25.0%
권선구 186
25.0%
팔달구 186
25.0%
영통구 186
25.0%

Length

2024-04-06T17:35:09.393131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:35:09.620329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장안구 186
25.0%
권선구 186
25.0%
팔달구 186
25.0%
영통구 186
25.0%

구분
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
개인서비스요금(외식비)
288 
개인서비스요금(기타)
144 
(세탁업,이미용업,숙박업등)
120 
생필품 요금(농산물 8)
96 
축산물(4)
48 

Length

Max length15
Median length13
Mean length11.645161
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인서비스요금(외식비)
2nd row개인서비스요금(외식비)
3rd row개인서비스요금(외식비)
4th row개인서비스요금(외식비)
5th row개인서비스요금(외식비)

Common Values

ValueCountFrequency (%)
개인서비스요금(외식비) 288
38.7%
개인서비스요금(기타) 144
19.4%
(세탁업,이미용업,숙박업등) 120
16.1%
생필품 요금(농산물 8) 96
 
12.9%
축산물(4) 48
 
6.5%
수산물(4) 48
 
6.5%

Length

2024-04-06T17:35:09.841808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:35:10.073386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인서비스요금(외식비 288
30.8%
개인서비스요금(기타 144
15.4%
세탁업,이미용업,숙박업등 120
12.8%
생필품 96
 
10.3%
요금(농산물 96
 
10.3%
8 96
 
10.3%
축산물(4 48
 
5.1%
수산물(4 48
 
5.1%

품목
Text

Distinct62
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-06T17:35:10.512995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length4.1290323
Min length1

Characters and Unicode

Total characters3072
Distinct characters119
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row설렁탕
2nd row냉면
3rd row비빕밥
4th row갈비탕
5th row삼계탕
ValueCountFrequency (%)
이용료 24
 
3.2%
설렁탕 12
 
1.6%
공동주택관리비 12
 
1.6%
콘도이용료 12
 
1.6%
영화관람료 12
 
1.6%
수영장이용료 12
 
1.6%
볼링장이용료 12
 
1.6%
골프연습장이용료 12
 
1.6%
노래방이용료 12
 
1.6%
당구장이용료 12
 
1.6%
Other values (52) 624
82.5%
2024-04-06T17:35:11.240644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
료 228
 
7.4%
용 132
 
4.3%
이 132
 
4.3%
( 120
 
3.9%
) 120
 
3.9%
수 72
 
2.3%
식 72
 
2.3%
외 72
 
2.3%
장 72
 
2.3%
기 60
 
2.0%
Other values (109) 1992
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2796
91.0%
Open Punctuation 120
 
3.9%
Close Punctuation 120
 
3.9%
Uppercase Letter 24
 
0.8%
Space Separator 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 228
 
8.2%
용 132
 
4.7%
이 132
 
4.7%
수 72
 
2.6%
식 72
 
2.6%
외 72
 
2.6%
장 72
 
2.6%
기 60
 
2.1%
고 60
 
2.1%
관 48
 
1.7%
Other values (104) 1848
66.1%
Uppercase Letter
ValueCountFrequency (%)
C 12
50.0%
P 12
50.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2796
91.0%
Common 252
 
8.2%
Latin 24
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 228
 
8.2%
용 132
 
4.7%
이 132
 
4.7%
수 72
 
2.6%
식 72
 
2.6%
외 72
 
2.6%
장 72
 
2.6%
기 60
 
2.1%
고 60
 
2.1%
관 48
 
1.7%
Other values (104) 1848
66.1%
Common
ValueCountFrequency (%)
( 120
47.6%
) 120
47.6%
12
 
4.8%
Latin
ValueCountFrequency (%)
C 12
50.0%
P 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2796
91.0%
ASCII 276
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
료 228
 
8.2%
용 132
 
4.7%
이 132
 
4.7%
수 72
 
2.6%
식 72
 
2.6%
외 72
 
2.6%
장 72
 
2.6%
기 60
 
2.1%
고 60
 
2.1%
관 48
 
1.7%
Other values (104) 1848
66.1%
ASCII
ValueCountFrequency (%)
( 120
43.5%
) 120
43.5%
C 12
 
4.3%
12
 
4.3%
P 12
 
4.3%

규격 및 단위
Text

Distinct56
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-06T17:35:11.827734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length21
Mean length15.387097
Min length5

Characters and Unicode

Total characters11448
Distinct characters203
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1인분(보통)
2nd row물냉면,1인분(보통)
3rd row1인분(보통)
4th row1인분(보통)
5th row닭 1마리,1인분(보통)
ValueCountFrequency (%)
1인분(보통 60
 
2.7%
1회 60
 
2.7%
1개 60
 
2.7%
1인분 48
 
2.2%
포함 48
 
2.2%
1마리 36
 
1.6%
일반인 36
 
1.6%
중류급 36
 
1.6%
등 36
 
1.6%
전문점 36
 
1.6%
Other values (126) 1740
79.2%
2024-04-06T17:35:12.804103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1452
 
12.7%
1 756
 
6.6%
, 744
 
6.5%
) 432
 
3.8%
( 432
 
3.8%
기 276
 
2.4%
인 264
 
2.3%
0 228
 
2.0%
일 168
 
1.5%
반 156
 
1.4%
Other values (193) 6540
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6780
59.2%
Space Separator 1452
 
12.7%
Decimal Number 1224
 
10.7%
Other Punctuation 780
 
6.8%
Close Punctuation 432
 
3.8%
Open Punctuation 432
 
3.8%
Lowercase Letter 300
 
2.6%
Other Symbol 24
 
0.2%
Math Symbol 12
 
0.1%
Connector Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 276
 
4.1%
인 264
 
3.9%
일 168
 
2.5%
반 156
 
2.3%
회 144
 
2.1%
분 144
 
2.1%
중 132
 
1.9%
리 120
 
1.8%
통 120
 
1.8%
개 120
 
1.8%
Other values (171) 5136
75.8%
Decimal Number
ValueCountFrequency (%)
1 756
61.8%
0 228
 
18.6%
2 96
 
7.8%
6 48
 
3.9%
5 36
 
2.9%
8 24
 
2.0%
3 24
 
2.0%
4 12
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
g 156
52.0%
k 72
24.0%
m 36
 
12.0%
c 36
 
12.0%
Other Punctuation
ValueCountFrequency (%)
, 744
95.4%
. 24
 
3.1%
* 12
 
1.5%
Other Symbol
ValueCountFrequency (%)
㎝ 12
50.0%
㎡ 12
50.0%
Space Separator
ValueCountFrequency (%)
1452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 432
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6780
59.2%
Common 4368
38.2%
Latin 300
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 276
 
4.1%
인 264
 
3.9%
일 168
 
2.5%
반 156
 
2.3%
회 144
 
2.1%
분 144
 
2.1%
중 132
 
1.9%
리 120
 
1.8%
통 120
 
1.8%
개 120
 
1.8%
Other values (171) 5136
75.8%
Common
ValueCountFrequency (%)
1452
33.2%
1 756
17.3%
, 744
17.0%
) 432
 
9.9%
( 432
 
9.9%
0 228
 
5.2%
2 96
 
2.2%
6 48
 
1.1%
5 36
 
0.8%
. 24
 
0.5%
Other values (8) 120
 
2.7%
Latin
ValueCountFrequency (%)
g 156
52.0%
k 72
24.0%
m 36
 
12.0%
c 36
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6780
59.2%
ASCII 4644
40.6%
CJK Compat 24
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1452
31.3%
1 756
16.3%
, 744
16.0%
) 432
 
9.3%
( 432
 
9.3%
0 228
 
4.9%
g 156
 
3.4%
2 96
 
2.1%
k 72
 
1.6%
6 48
 
1.0%
Other values (10) 228
 
4.9%
Hangul
ValueCountFrequency (%)
기 276
 
4.1%
인 264
 
3.9%
일 168
 
2.5%
반 156
 
2.3%
회 144
 
2.1%
분 144
 
2.1%
중 132
 
1.9%
리 120
 
1.8%
통 120
 
1.8%
개 120
 
1.8%
Other values (171) 5136
75.8%
CJK Compat
ValueCountFrequency (%)
㎝ 12
50.0%
㎡ 12
50.0%

물가동향
Text

Distinct485
Distinct (%)65.5%
Missing4
Missing (%)0.5%
Memory size5.9 KiB
2024-04-06T17:35:13.497235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3527027
Min length1

Characters and Unicode

Total characters3961
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique365 ?
Unique (%)49.3%

Sample

1st row9000
2nd row8100
3rd row7700
4th row13600
5th row15333
ValueCountFrequency (%)
14
 
1.9%
7900 9
 
1.2%
15000 8
 
1.1%
4200 7
 
0.9%
8500 7
 
0.9%
14000 6
 
0.8%
4000 5
 
0.7%
8050 5
 
0.7%
3100 5
 
0.7%
3490 5
 
0.7%
Other values (475) 669
90.4%
2024-04-06T17:35:14.331897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 750
18.9%
726
18.3%
1 426
10.8%
5 325
8.2%
4 316
8.0%
3 270
 
6.8%
7 250
 
6.3%
6 249
 
6.3%
8 230
 
5.8%
2 218
 
5.5%
Other values (2) 201
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3221
81.3%
Space Separator 726
 
18.3%
Dash Punctuation 14
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 750
23.3%
1 426
13.2%
5 325
10.1%
4 316
9.8%
3 270
 
8.4%
7 250
 
7.8%
6 249
 
7.7%
8 230
 
7.1%
2 218
 
6.8%
9 187
 
5.8%
Space Separator
ValueCountFrequency (%)
726
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3961
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 750
18.9%
726
18.3%
1 426
10.8%
5 325
8.2%
4 316
8.0%
3 270
 
6.8%
7 250
 
6.3%
6 249
 
6.3%
8 230
 
5.8%
2 218
 
5.5%
Other values (2) 201
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 750
18.9%
726
18.3%
1 426
10.8%
5 325
8.2%
4 316
8.0%
3 270
 
6.8%
7 250
 
6.3%
6 249
 
6.3%
8 230
 
5.8%
2 218
 
5.5%
Other values (2) 201
 
5.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-03-24
744 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-24
2nd row2024-03-24
3rd row2024-03-24
4th row2024-03-24
5th row2024-03-24

Common Values

ValueCountFrequency (%)
2024-03-24 744
100.0%

Length

2024-04-06T17:35:14.606514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:35:14.781557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-24 744
100.0%

Correlations

2024-04-06T17:35:14.911578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일시군구명구분품목규격 및 단위
기준일1.0000.0000.0000.0000.000
시군구명0.0001.0000.0000.0000.000
구분0.0000.0001.0001.0001.000
품목0.0000.0001.0001.0001.000
규격 및 단위0.0000.0001.0001.0001.000
2024-04-06T17:35:15.097592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명구분기준일
시군구명1.0000.0000.000
구분0.0001.0000.000
기준일0.0000.0001.000
2024-04-06T17:35:15.288617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일시군구명구분
기준일1.0000.0000.000
시군구명0.0001.0000.000
구분0.0000.0001.000

Missing values

2024-04-06T17:35:08.263819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:35:08.513760image/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

기준일시군구명구분품목규격 및 단위물가동향데이터기준일자
02024-03-04장안구개인서비스요금(외식비)설렁탕1인분(보통)90002024-03-24
12024-03-04장안구개인서비스요금(외식비)냉면물냉면,1인분(보통)81002024-03-24
22024-03-04장안구개인서비스요금(외식비)비빕밥1인분(보통)77002024-03-24
32024-03-04장안구개인서비스요금(외식비)갈비탕1인분(보통)136002024-03-24
42024-03-04장안구개인서비스요금(외식비)삼계탕닭 1마리,1인분(보통)153332024-03-24
52024-03-04장안구개인서비스요금(외식비)김치찌개1인분(보통)77502024-03-24
62024-03-04장안구개인서비스요금(외식비)된장찌개1인분(보통)78502024-03-24
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