Overview

Dataset statistics

Number of variables11
Number of observations76
Missing cells64
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory93.7 B

Variable types

Numeric4
Categorical2
Text5

Dataset

Description창원시 착한가격업소 현황(2023년 3월 현재 지방물가 안정 및 물가인상 억제에 기여해 온 착한가격업소에 대한 데이터)
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15075709

Alerts

연번 is highly overall correlated with 시군구High correlation
가격1 is highly overall correlated with 가격2 and 1 other fieldsHigh correlation
가격2 is highly overall correlated with 가격1 and 1 other fieldsHigh correlation
가격3 is highly overall correlated with 가격1 and 2 other fieldsHigh correlation
업종 is highly overall correlated with 가격3High correlation
시군구 is highly overall correlated with 연번High correlation
품목2 has 10 (13.2%) missing valuesMissing
가격2 has 10 (13.2%) missing valuesMissing
품목3 has 22 (28.9%) missing valuesMissing
가격3 has 22 (28.9%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:37:10.110175
Analysis finished2023-12-11 00:37:12.874644
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-11T09:37:12.954253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2023-12-11T09:37:13.090423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

업종
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
한식
55 
중식
 
5
미용업
 
5
세탁업
 
3
기타요식업
 
3
Other values (3)
 
5

Length

Max length6
Median length2
Mean length2.4078947
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
한식 55
72.4%
중식 5
 
6.6%
미용업 5
 
6.6%
세탁업 3
 
3.9%
기타요식업 3
 
3.9%
기타비요식업 3
 
3.9%
숙박업 1
 
1.3%
목욕업 1
 
1.3%

Length

2023-12-11T09:37:13.278285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:13.407881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 55
72.4%
중식 5
 
6.6%
미용업 5
 
6.6%
세탁업 3
 
3.9%
기타요식업 3
 
3.9%
기타비요식업 3
 
3.9%
숙박업 1
 
1.3%
목욕업 1
 
1.3%

업소명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-11T09:37:13.698527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.1052632
Min length2

Characters and Unicode

Total characters388
Distinct characters168
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row종로돼지국밥
2nd row선우돌판구이
3rd row쟁반뒷고기
4th row새맛정식당
5th row소반
ValueCountFrequency (%)
종로돼지국밥 1
 
1.3%
고인돌 1
 
1.3%
마산실내운전연습장 1
 
1.3%
우정분식식당 1
 
1.3%
인생컷헤어샵 1
 
1.3%
참고을숯불식육식당 1
 
1.3%
발리불소사우나 1
 
1.3%
성안숯불갈비 1
 
1.3%
희미용실 1
 
1.3%
동촌손칼국수 1
 
1.3%
Other values (68) 68
87.2%
2023-12-11T09:37:14.139142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 23
 
5.9%
당 15
 
3.9%
국 11
 
2.8%
밥 7
 
1.8%
리 7
 
1.8%
동 6
 
1.5%
지 6
 
1.5%
탕 6
 
1.5%
어 5
 
1.3%
수 5
 
1.3%
Other values (158) 297
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
99.0%
Space Separator 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 23
 
6.0%
당 15
 
3.9%
국 11
 
2.9%
밥 7
 
1.8%
리 7
 
1.8%
동 6
 
1.6%
지 6
 
1.6%
탕 6
 
1.6%
어 5
 
1.3%
수 5
 
1.3%
Other values (155) 293
76.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
99.0%
Common 2
 
0.5%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 23
 
6.0%
당 15
 
3.9%
국 11
 
2.9%
밥 7
 
1.8%
리 7
 
1.8%
동 6
 
1.6%
지 6
 
1.6%
탕 6
 
1.6%
어 5
 
1.3%
수 5
 
1.3%
Other values (155) 293
76.3%
Latin
ValueCountFrequency (%)
T 1
50.0%
A 1
50.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
99.0%
ASCII 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 23
 
6.0%
당 15
 
3.9%
국 11
 
2.9%
밥 7
 
1.8%
리 7
 
1.8%
동 6
 
1.6%
지 6
 
1.6%
탕 6
 
1.6%
어 5
 
1.3%
수 5
 
1.3%
Other values (155) 293
76.3%
ASCII
ValueCountFrequency (%)
2
50.0%
T 1
25.0%
A 1
25.0%

시군구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
창원시 성산구
19 
창원시 마산합포구
17 
창원시 진해구
17 
창원시 마산회원구
14 
창원시 의창구
9 

Length

Max length9
Median length7
Mean length7.8157895
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원시 의창구
2nd row창원시 의창구
3rd row창원시 의창구
4th row창원시 의창구
5th row창원시 의창구

Common Values

ValueCountFrequency (%)
창원시 성산구 19
25.0%
창원시 마산합포구 17
22.4%
창원시 진해구 17
22.4%
창원시 마산회원구 14
18.4%
창원시 의창구 9
11.8%

Length

2023-12-11T09:37:14.293553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:14.425110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 76
50.0%
성산구 19
 
12.5%
마산합포구 17
 
11.2%
진해구 17
 
11.2%
마산회원구 14
 
9.2%
의창구 9
 
5.9%

주소(도로명 주소)
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-11T09:37:14.755455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length24.828947
Min length19

Characters and Unicode

Total characters1887
Distinct characters118
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)97.4%

Sample

1st row창원시 의창구 대산면 진산대로 296
2nd row창원시 의창구 용지로293번길 28(사림동, 우영프라자)
3rd row창원시 의창구 용지로293번길 28(사림동, 우영프라자)
4th row창원시 의창구 차상로 72번길 11-1(팔용동)
5th row창원시 의창구 의창대로70번길 1(팔용동)
ValueCountFrequency (%)
창원시 76
22.4%
성산구 19
 
5.6%
진해구 17
 
5.0%
마산합포구 17
 
5.0%
마산회원구 14
 
4.1%
의창구 9
 
2.7%
용지로 4
 
1.2%
경화동 4
 
1.2%
어시장7길 3
 
0.9%
벚꽃로60번길 3
 
0.9%
Other values (155) 173
51.0%
2023-12-11T09:37:15.250494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
14.6%
원 103
 
5.5%
동 87
 
4.6%
창 87
 
4.6%
시 83
 
4.4%
구 80
 
4.2%
) 71
 
3.8%
( 71
 
3.8%
1 58
 
3.1%
로 55
 
2.9%
Other values (108) 916
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1137
60.3%
Decimal Number 296
 
15.7%
Space Separator 276
 
14.6%
Close Punctuation 71
 
3.8%
Open Punctuation 71
 
3.8%
Other Punctuation 19
 
1.0%
Dash Punctuation 14
 
0.7%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 103
 
9.1%
동 87
 
7.7%
창 87
 
7.7%
시 83
 
7.3%
구 80
 
7.0%
로 55
 
4.8%
산 55
 
4.8%
길 45
 
4.0%
마 35
 
3.1%
성 35
 
3.1%
Other values (90) 472
41.5%
Decimal Number
ValueCountFrequency (%)
1 58
19.6%
2 48
16.2%
3 38
12.8%
8 30
10.1%
7 22
 
7.4%
6 22
 
7.4%
5 22
 
7.4%
4 21
 
7.1%
9 18
 
6.1%
0 17
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
· 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1137
60.3%
Common 747
39.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 103
 
9.1%
동 87
 
7.7%
창 87
 
7.7%
시 83
 
7.3%
구 80
 
7.0%
로 55
 
4.8%
산 55
 
4.8%
길 45
 
4.0%
마 35
 
3.1%
성 35
 
3.1%
Other values (90) 472
41.5%
Common
ValueCountFrequency (%)
276
36.9%
) 71
 
9.5%
( 71
 
9.5%
1 58
 
7.8%
2 48
 
6.4%
3 38
 
5.1%
8 30
 
4.0%
7 22
 
2.9%
6 22
 
2.9%
5 22
 
2.9%
Other values (6) 89
 
11.9%
Latin
ValueCountFrequency (%)
D 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1137
60.3%
ASCII 749
39.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
36.8%
) 71
 
9.5%
( 71
 
9.5%
1 58
 
7.7%
2 48
 
6.4%
3 38
 
5.1%
8 30
 
4.0%
7 22
 
2.9%
6 22
 
2.9%
5 22
 
2.9%
Other values (7) 91
 
12.1%
Hangul
ValueCountFrequency (%)
원 103
 
9.1%
동 87
 
7.7%
창 87
 
7.7%
시 83
 
7.3%
구 80
 
7.0%
로 55
 
4.8%
산 55
 
4.8%
길 45
 
4.0%
마 35
 
3.1%
성 35
 
3.1%
Other values (90) 472
41.5%
None
ValueCountFrequency (%)
· 1
100.0%

품목1
Text

Distinct58
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-11T09:37:15.454121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length4.9473684
Min length2

Characters and Unicode

Total characters376
Distinct characters130
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

Unique46 ?
Unique (%)60.5%

Sample

1st row돼지국밥
2nd row삼겹살
3rd row뒷고기
4th row한식뷔페
5th row양념갈비(350g)
ValueCountFrequency (%)
정식 5
 
6.2%
짜장면 4
 
5.0%
돼지국밥 3
 
3.8%
김치찌개 3
 
3.8%
삼겹살 3
 
3.8%
와이셔츠 3
 
3.8%
추어탕 2
 
2.5%
보리밥 2
 
2.5%
파마 2
 
2.5%
칼국수 2
 
2.5%
Other values (50) 51
63.7%
2023-12-11T09:37:15.768660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
9.6%
국 15
 
4.0%
장 12
 
3.2%
) 9
 
2.4%
( 9
 
2.4%
식 8
 
2.1%
수 8
 
2.1%
밥 7
 
1.9%
지 7
 
1.9%
이 7
 
1.9%
Other values (120) 258
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
79.8%
Space Separator 36
 
9.6%
Decimal Number 17
 
4.5%
Close Punctuation 9
 
2.4%
Open Punctuation 9
 
2.4%
Lowercase Letter 4
 
1.1%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 15
 
5.0%
장 12
 
4.0%
식 8
 
2.7%
수 8
 
2.7%
밥 7
 
2.3%
지 7
 
2.3%
이 7
 
2.3%
탕 7
 
2.3%
정 7
 
2.3%
개 7
 
2.3%
Other values (109) 215
71.7%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
0 4
23.5%
5 3
17.6%
3 3
17.6%
2 1
 
5.9%
6 1
 
5.9%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
79.8%
Common 72
 
19.1%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 15
 
5.0%
장 12
 
4.0%
식 8
 
2.7%
수 8
 
2.7%
밥 7
 
2.3%
지 7
 
2.3%
이 7
 
2.3%
탕 7
 
2.3%
정 7
 
2.3%
개 7
 
2.3%
Other values (109) 215
71.7%
Common
ValueCountFrequency (%)
36
50.0%
) 9
 
12.5%
( 9
 
12.5%
1 5
 
6.9%
0 4
 
5.6%
5 3
 
4.2%
3 3
 
4.2%
2 1
 
1.4%
+ 1
 
1.4%
6 1
 
1.4%
Latin
ValueCountFrequency (%)
g 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
79.8%
ASCII 76
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
47.4%
) 9
 
11.8%
( 9
 
11.8%
1 5
 
6.6%
0 4
 
5.3%
g 4
 
5.3%
5 3
 
3.9%
3 3
 
3.9%
2 1
 
1.3%
+ 1
 
1.3%
Hangul
ValueCountFrequency (%)
국 15
 
5.0%
장 12
 
4.0%
식 8
 
2.7%
수 8
 
2.7%
밥 7
 
2.3%
지 7
 
2.3%
이 7
 
2.3%
탕 7
 
2.3%
정 7
 
2.3%
개 7
 
2.3%
Other values (109) 215
71.7%

가격1
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11177.632
Minimum1200
Maximum70000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-11T09:37:15.927900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile2950
Q15500
median8000
Q310000
95-th percentile30500
Maximum70000
Range68800
Interquartile range (IQR)4500

Descriptive statistics

Standard deviation11213.463
Coefficient of variation (CV)1.0032057
Kurtosis10.357513
Mean11177.632
Median Absolute Deviation (MAD)2500
Skewness2.8769064
Sum849500
Variance1.2574176 × 108
MonotonicityNot monotonic
2023-12-11T09:37:16.060551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8000 16
21.1%
7000 8
 
10.5%
6000 7
 
9.2%
5000 6
 
7.9%
4000 5
 
6.6%
5500 4
 
5.3%
10000 3
 
3.9%
20000 2
 
2.6%
30000 2
 
2.6%
13000 2
 
2.6%
Other values (19) 21
27.6%
ValueCountFrequency (%)
1200 1
 
1.3%
1500 1
 
1.3%
2000 1
 
1.3%
2800 1
 
1.3%
3000 1
 
1.3%
4000 5
6.6%
4500 1
 
1.3%
5000 6
7.9%
5500 4
5.3%
6000 7
9.2%
ValueCountFrequency (%)
70000 1
1.3%
45000 1
1.3%
40000 1
1.3%
32000 1
1.3%
30000 2
2.6%
28000 2
2.6%
27000 1
1.3%
25000 1
1.3%
20000 2
2.6%
18000 1
1.3%

품목2
Text

MISSING 

Distinct55
Distinct (%)83.3%
Missing10
Missing (%)13.2%
Memory size740.0 B
2023-12-11T09:37:16.254524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length5.2727273
Min length2

Characters and Unicode

Total characters348
Distinct characters118
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

Unique47 ?
Unique (%)71.2%

Sample

1st row머리국밥
2nd row대패삼겹살
3rd row된장찌개
4th row양념갈비살(250g)
5th row짜장면
ValueCountFrequency (%)
된장찌개 6
 
8.7%
김치찌개 4
 
5.8%
짬뽕 3
 
4.3%
소고기국밥 2
 
2.9%
정장하의 2
 
2.9%
커트 2
 
2.9%
감자탕(소 2
 
2.9%
돼지갈비 2
 
2.9%
국수 2
 
2.9%
염색 2
 
2.9%
Other values (42) 42
60.9%
2023-12-11T09:37:16.619926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
16.4%
장 12
 
3.4%
개 11
 
3.2%
국 11
 
3.2%
찌 10
 
2.9%
탕 9
 
2.6%
소 9
 
2.6%
( 8
 
2.3%
) 8
 
2.3%
기 8
 
2.3%
Other values (108) 205
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
75.3%
Space Separator 57
 
16.4%
Decimal Number 11
 
3.2%
Open Punctuation 8
 
2.3%
Close Punctuation 8
 
2.3%
Lowercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12
 
4.6%
개 11
 
4.2%
국 11
 
4.2%
찌 10
 
3.8%
탕 9
 
3.4%
소 9
 
3.4%
기 8
 
3.1%
밥 8
 
3.1%
비 7
 
2.7%
수 7
 
2.7%
Other values (99) 170
64.9%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
5 2
18.2%
0 2
18.2%
2 2
18.2%
4 1
 
9.1%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
75.3%
Common 84
 
24.1%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12
 
4.6%
개 11
 
4.2%
국 11
 
4.2%
찌 10
 
3.8%
탕 9
 
3.4%
소 9
 
3.4%
기 8
 
3.1%
밥 8
 
3.1%
비 7
 
2.7%
수 7
 
2.7%
Other values (99) 170
64.9%
Common
ValueCountFrequency (%)
57
67.9%
( 8
 
9.5%
) 8
 
9.5%
1 4
 
4.8%
5 2
 
2.4%
0 2
 
2.4%
2 2
 
2.4%
4 1
 
1.2%
Latin
ValueCountFrequency (%)
g 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
75.3%
ASCII 86
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
66.3%
( 8
 
9.3%
) 8
 
9.3%
1 4
 
4.7%
5 2
 
2.3%
g 2
 
2.3%
0 2
 
2.3%
2 2
 
2.3%
4 1
 
1.2%
Hangul
ValueCountFrequency (%)
장 12
 
4.6%
개 11
 
4.2%
국 11
 
4.2%
찌 10
 
3.8%
탕 9
 
3.4%
소 9
 
3.4%
기 8
 
3.1%
밥 8
 
3.1%
비 7
 
2.7%
수 7
 
2.7%
Other values (99) 170
64.9%

가격2
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)39.4%
Missing10
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean9790.9091
Minimum1500
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-11T09:37:16.733685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1500
5-th percentile2775
Q15125
median7000
Q310000
95-th percentile21750
Maximum40000
Range38500
Interquartile range (IQR)4875

Descriptive statistics

Standard deviation7820.2445
Coefficient of variation (CV)0.79872506
Kurtosis5.4143422
Mean9790.9091
Median Absolute Deviation (MAD)2000
Skewness2.2192394
Sum646200
Variance61156224
MonotonicityNot monotonic
2023-12-11T09:37:16.840297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6000 7
 
9.2%
8000 7
 
9.2%
7000 7
 
9.2%
5000 5
 
6.6%
9000 5
 
6.6%
10000 4
 
5.3%
4000 4
 
5.3%
20000 3
 
3.9%
15000 3
 
3.9%
18000 2
 
2.6%
Other values (16) 19
25.0%
(Missing) 10
13.2%
ValueCountFrequency (%)
1500 1
 
1.3%
2000 1
 
1.3%
2500 1
 
1.3%
2700 1
 
1.3%
3000 2
 
2.6%
3500 1
 
1.3%
4000 4
5.3%
4500 1
 
1.3%
5000 5
6.6%
5500 1
 
1.3%
ValueCountFrequency (%)
40000 1
 
1.3%
37000 1
 
1.3%
35000 1
 
1.3%
22000 1
 
1.3%
21000 1
 
1.3%
20000 3
3.9%
18000 2
2.6%
15000 3
3.9%
14000 1
 
1.3%
11000 2
2.6%

품목3
Text

MISSING 

Distinct50
Distinct (%)92.6%
Missing22
Missing (%)28.9%
Memory size740.0 B
2023-12-11T09:37:17.025234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10.5
Mean length5.2037037
Min length2

Characters and Unicode

Total characters281
Distinct characters115
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

Unique46 ?
Unique (%)85.2%

Sample

1st row내장국밥
2nd row꽃등심(100g)
3rd row두루치기
4th row짜장밥
5th row수제비
ValueCountFrequency (%)
김치찌개 3
 
5.5%
된장찌개 3
 
5.5%
소고기국밥 2
 
3.6%
정장상의 2
 
3.6%
수제비 2
 
3.6%
순두부 1
 
1.8%
파마 1
 
1.8%
커트 1
 
1.8%
짬뽕 1
 
1.8%
볶음밥 1
 
1.8%
Other values (38) 38
69.1%
2023-12-11T09:37:17.319251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
14.6%
밥 10
 
3.6%
장 10
 
3.6%
개 8
 
2.8%
국 7
 
2.5%
) 7
 
2.5%
( 7
 
2.5%
탕 6
 
2.1%
비 6
 
2.1%
찌 6
 
2.1%
Other values (105) 173
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
76.2%
Space Separator 41
 
14.6%
Decimal Number 10
 
3.6%
Close Punctuation 7
 
2.5%
Open Punctuation 7
 
2.5%
Lowercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밥 10
 
4.7%
장 10
 
4.7%
개 8
 
3.7%
국 7
 
3.3%
탕 6
 
2.8%
비 6
 
2.8%
찌 6
 
2.8%
기 5
 
2.3%
김 5
 
2.3%
지 4
 
1.9%
Other values (97) 147
68.7%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
0 3
30.0%
1 2
20.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
76.2%
Common 65
 
23.1%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밥 10
 
4.7%
장 10
 
4.7%
개 8
 
3.7%
국 7
 
3.3%
탕 6
 
2.8%
비 6
 
2.8%
찌 6
 
2.8%
기 5
 
2.3%
김 5
 
2.3%
지 4
 
1.9%
Other values (97) 147
68.7%
Common
ValueCountFrequency (%)
41
63.1%
) 7
 
10.8%
( 7
 
10.8%
2 4
 
6.2%
0 3
 
4.6%
1 2
 
3.1%
5 1
 
1.5%
Latin
ValueCountFrequency (%)
g 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
76.2%
ASCII 67
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
61.2%
) 7
 
10.4%
( 7
 
10.4%
2 4
 
6.0%
0 3
 
4.5%
g 2
 
3.0%
1 2
 
3.0%
5 1
 
1.5%
Hangul
ValueCountFrequency (%)
밥 10
 
4.7%
장 10
 
4.7%
개 8
 
3.7%
국 7
 
3.3%
탕 6
 
2.8%
비 6
 
2.8%
찌 6
 
2.8%
기 5
 
2.3%
김 5
 
2.3%
지 4
 
1.9%
Other values (97) 147
68.7%

가격3
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)46.3%
Missing22
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean12940.741
Minimum1800
Maximum100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-11T09:37:17.461079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1800
5-th percentile2825
Q16000
median8000
Q312000
95-th percentile30000
Maximum100000
Range98200
Interquartile range (IQR)6000

Descriptive statistics

Standard deviation17620.073
Coefficient of variation (CV)1.361597
Kurtosis17.227808
Mean12940.741
Median Absolute Deviation (MAD)3000
Skewness4.0108541
Sum698800
Variance3.1046699 × 108
MonotonicityNot monotonic
2023-12-11T09:37:17.620534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8000 8
 
10.5%
12000 5
 
6.6%
7000 5
 
6.6%
5000 4
 
5.3%
6500 3
 
3.9%
6000 3
 
3.9%
10000 3
 
3.9%
25000 2
 
2.6%
30000 2
 
2.6%
9000 2
 
2.6%
Other values (15) 17
22.4%
(Missing) 22
28.9%
ValueCountFrequency (%)
1800 1
 
1.3%
2000 1
 
1.3%
2500 1
 
1.3%
3000 2
2.6%
4000 2
2.6%
4500 1
 
1.3%
5000 4
5.3%
5500 1
 
1.3%
6000 3
3.9%
6500 3
3.9%
ValueCountFrequency (%)
100000 1
 
1.3%
90000 1
 
1.3%
30000 2
 
2.6%
27000 1
 
1.3%
25000 2
 
2.6%
20000 1
 
1.3%
17000 1
 
1.3%
15000 1
 
1.3%
14000 1
 
1.3%
12000 5
6.6%

Interactions

2023-12-11T09:37:12.072597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:10.857937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.176527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.740354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:12.154790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:10.925739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.501207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.823577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:12.226720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:10.998537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.587889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.901465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:12.316680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.083334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.670254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:11.993020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:37:17.705871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종업소명시군구주소(도로명 주소)품목1가격1품목2가격2품목3가격3
연번1.0000.4261.0000.9961.0000.6800.3290.8910.0000.9970.000
업종0.4261.0001.0000.4151.0001.0000.8361.0000.4191.0000.734
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시군구0.9960.4151.0001.0001.0000.6550.0000.9140.1690.9920.000
주소(도로명 주소)1.0001.0001.0001.0001.0000.9961.0000.9961.0001.0001.000
품목10.6801.0001.0000.6550.9961.0000.9950.9920.9780.9730.984
가격10.3290.8361.0000.0001.0000.9951.0000.9950.8311.0000.514
품목20.8911.0001.0000.9140.9960.9920.9951.0000.9580.9830.987
가격20.0000.4191.0000.1691.0000.9780.8310.9581.0000.9710.655
품목30.9971.0001.0000.9921.0000.9731.0000.9830.9711.0001.000
가격30.0000.7341.0000.0001.0000.9840.5140.9870.6551.0001.000
2023-12-11T09:37:17.807971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종시군구
업종1.0000.262
시군구0.2621.000
2023-12-11T09:37:18.119843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가격1가격2가격3업종시군구
연번1.0000.1760.2060.1180.2110.869
가격10.1761.0000.7750.5600.4270.000
가격20.2060.7751.0000.6410.2470.069
가격30.1180.5600.6411.0000.5800.000
업종0.2110.4270.2470.5801.0000.262
시군구0.8690.0000.0690.0000.2621.000

Missing values

2023-12-11T09:37:12.454640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:37:12.624470image/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.
2023-12-11T09:37:12.765191image/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

연번업종업소명시군구주소(도로명 주소)품목1가격1품목2가격2품목3가격3
01한식종로돼지국밥창원시 의창구창원시 의창구 대산면 진산대로 296돼지국밥8000머리국밥7000내장국밥9000
12한식선우돌판구이창원시 의창구창원시 의창구 용지로293번길 28(사림동, 우영프라자)삼겹살5000대패삼겹살3000<NA><NA>
23한식쟁반뒷고기창원시 의창구창원시 의창구 용지로293번길 28(사림동, 우영프라자)뒷고기5000된장찌개3000<NA><NA>
34한식새맛정식당창원시 의창구창원시 의창구 차상로 72번길 11-1(팔용동)한식뷔페6000<NA><NA><NA><NA>
45한식소반창원시 의창구창원시 의창구 의창대로70번길 1(팔용동)양념갈비(350g)27000양념갈비살(250g)21000꽃등심(100g)27000
56중식삼구반점창원시 의창구창원시 의창구 대산면 유등로 170-15짬뽕7000짜장면5000<NA><NA>
67한식호호돼지국밥창원시 의창구창원시 의창구 용지로 281(사림동)국밥7000콩국수7000두루치기7000
78중식옛날짜장면창원시 의창구창원시 의창구 팔용로425번길 1(팔용동)짜장면4500짬뽕6000짜장밥6500
89한식시장분식창원시 의창구창원시 의창구 소계로 87(소계동)칼국수5000국수4500수제비5000
910한식오리둥지창원시 성산구창원시 성산구 용지로 145(용호동)생고기32000불고기37000오리탕(2인분)17000
연번업종업소명시군구주소(도로명 주소)품목1가격1품목2가격2품목3가격3
6667한식복개천감자탕창원시 진해구창원시 진해구 중원로79번길 13-1(송학동)뼈해장국7000감자탕(소)20000감자탕(중)25000
6768한식소원식당창원시 진해구창원시 진해구 중원로 79번길 13-1(송학동)정식6000김치찌개7000된장찌개7000
6869한식대도식당창원시 진해구창원시 진해구 중원로 67-14(평안동)추어탕9000된장찌개8000김치찌개8000
6970한식고향돼지갈비찜창원시 진해구창원시 진해구 용원로78번안길 24(용원동)갈비찜+된장찌개12000<NA><NA><NA><NA>
7071한식새마을찌개나라창원시 진해구창원시 진해구 중원로85번길 13(송학동)정식8000김치찌개8000<NA><NA>
7172한식대봉감자탕창원시 진해구창원시 진해구 중원로79번길 14-2(송학동)감자탕(중)30000<NA><NA><NA><NA>
7273한식엄마식당창원시 진해구창원시 진해구 중원서로 83(송학동)김치찌개7000된장찌개6500<NA><NA>
7374한식대봉막창창원시 진해구창원시 진해구 벚꽃로60번길 25, 1층 1025호(화천동, 중앙시장)돼지막창9000양념막창10000생삼겹10000
7475한식속천국밥창원시 진해구창원시 진해구 벚꽃로60번길 19-6, 831(화천동)돼지국밥6000<NA><NA><NA><NA>
7576한식미가칼국수창원시 진해구창원시 진해구 벚꽃로60번길 19-6, 832(화천동)보리밥4000<NA><NA><NA><NA>