Overview

Dataset statistics

Number of variables9
Number of observations257
Missing cells17
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory73.5 B

Variable types

Numeric1
Categorical3
Text5

Dataset

Description행정안전부 착한가격업소(www.goodprice.go.kr)에서 제공하는 데이터(업종, 업소명, 연락처, 주소 등)
Author대구광역시
URLhttps://www.data.go.kr/data/15069131/fileData.do

Alerts

연번 is highly overall correlated with 구군High correlation
업종 is highly overall correlated with 대표메뉴가격High correlation
구군 is highly overall correlated with 연번High correlation
대표메뉴가격 is highly overall correlated with 업종High correlation
연락처 has 17 (6.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:14:55.175461
Analysis finished2023-12-12 13:14:56.518065
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129
Minimum1
Maximum257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T22:14:56.606377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.8
Q165
median129
Q3193
95-th percentile244.2
Maximum257
Range256
Interquartile range (IQR)128

Descriptive statistics

Standard deviation74.333707
Coefficient of variation (CV)0.57623029
Kurtosis-1.2
Mean129
Median Absolute Deviation (MAD)64
Skewness0
Sum33153
Variance5525.5
MonotonicityStrictly increasing
2023-12-12T22:14:56.768763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
194 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
Other values (247) 247
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%

업종
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
한식
156 
이미용업
31 
중식
28 
미용업
 
15
일식
 
7
Other values (10)
20 

Length

Max length12
Median length2
Mean length2.4357977
Min length2

Unique

Unique5 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
한식 156
60.7%
이미용업 31
 
12.1%
중식 28
 
10.9%
미용업 15
 
5.8%
일식 7
 
2.7%
양식 4
 
1.6%
분식 3
 
1.2%
세탁업 3
 
1.2%
목욕업 3
 
1.2%
기타(외식) 2
 
0.8%
Other values (5) 5
 
1.9%

Length

2023-12-12T22:14:56.922832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 156
60.7%
이미용업 32
 
12.5%
중식 28
 
10.9%
미용업 15
 
5.8%
일식 7
 
2.7%
양식 4
 
1.6%
분식 3
 
1.2%
세탁업 3
 
1.2%
목욕업 3
 
1.2%
기타(외식 2
 
0.8%
Other values (4) 4
 
1.6%

업소명
Text

Distinct255
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:14:57.199802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.0933852
Min length2

Characters and Unicode

Total characters1309
Distinct characters309
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)98.4%

Sample

1st row현대이용소
2nd row춘사김밥
3rd row영생이용소
4th row마산설렁탕
5th row중해반점
ValueCountFrequency (%)
현대이용소 2
 
0.7%
별미국수 2
 
0.7%
종로빈대떡 1
 
0.4%
웃는돈지국수가 1
 
0.4%
우당탕반점 1
 
0.4%
홍화성 1
 
0.4%
신광이용소 1
 
0.4%
수헤어 1
 
0.4%
수미미용실 1
 
0.4%
신라미장 1
 
0.4%
Other values (258) 258
95.6%
2023-12-12T22:14:57.641508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 43
 
3.3%
국 38
 
2.9%
수 37
 
2.8%
당 33
 
2.5%
이 30
 
2.3%
미 30
 
2.3%
용 29
 
2.2%
어 21
 
1.6%
밥 20
 
1.5%
실 18
 
1.4%
Other values (299) 1010
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1283
98.0%
Space Separator 13
 
1.0%
Decimal Number 5
 
0.4%
Lowercase Letter 3
 
0.2%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 43
 
3.4%
국 38
 
3.0%
수 37
 
2.9%
당 33
 
2.6%
이 30
 
2.3%
미 30
 
2.3%
용 29
 
2.3%
어 21
 
1.6%
밥 20
 
1.6%
실 18
 
1.4%
Other values (286) 984
76.7%
Decimal Number
ValueCountFrequency (%)
5 2
40.0%
2 1
20.0%
6 1
20.0%
3 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
i 1
33.3%
m 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1283
98.0%
Common 22
 
1.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 43
 
3.4%
국 38
 
3.0%
수 37
 
2.9%
당 33
 
2.6%
이 30
 
2.3%
미 30
 
2.3%
용 29
 
2.3%
어 21
 
1.6%
밥 20
 
1.6%
실 18
 
1.4%
Other values (286) 984
76.7%
Common
ValueCountFrequency (%)
13
59.1%
5 2
 
9.1%
& 1
 
4.5%
) 1
 
4.5%
( 1
 
4.5%
2 1
 
4.5%
' 1
 
4.5%
6 1
 
4.5%
3 1
 
4.5%
Latin
ValueCountFrequency (%)
s 1
25.0%
K 1
25.0%
i 1
25.0%
m 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1283
98.0%
ASCII 26
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 43
 
3.4%
국 38
 
3.0%
수 37
 
2.9%
당 33
 
2.6%
이 30
 
2.3%
미 30
 
2.3%
용 29
 
2.3%
어 21
 
1.6%
밥 20
 
1.6%
실 18
 
1.4%
Other values (286) 984
76.7%
ASCII
ValueCountFrequency (%)
13
50.0%
5 2
 
7.7%
& 1
 
3.8%
) 1
 
3.8%
( 1
 
3.8%
2 1
 
3.8%
s 1
 
3.8%
K 1
 
3.8%
i 1
 
3.8%
m 1
 
3.8%
Other values (3) 3
 
11.5%

업주명
Text

Distinct251
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:14:58.031220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0155642
Min length3

Characters and Unicode

Total characters775
Distinct characters148
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

Unique245 ?
Unique (%)95.3%

Sample

1st row이수길
2nd row이춘자
3rd row김상국
4th row조웅제
5th row우려원
ValueCountFrequency (%)
김명순 2
 
0.8%
김영숙 2
 
0.8%
김정희 2
 
0.8%
김금희 2
 
0.8%
이경희 2
 
0.8%
이정숙 2
 
0.8%
박종향 1
 
0.4%
임복선 1
 
0.4%
박헌환 1
 
0.4%
배순철 1
 
0.4%
Other values (241) 241
93.8%
2023-12-12T22:14:58.566079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 61
 
7.9%
이 51
 
6.6%
희 33
 
4.3%
숙 31
 
4.0%
순 29
 
3.7%
정 29
 
3.7%
영 26
 
3.4%
경 26
 
3.4%
옥 15
 
1.9%
자 14
 
1.8%
Other values (138) 460
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
99.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 61
 
7.9%
이 51
 
6.6%
희 33
 
4.3%
숙 31
 
4.0%
순 29
 
3.8%
정 29
 
3.8%
영 26
 
3.4%
경 26
 
3.4%
옥 15
 
1.9%
자 14
 
1.8%
Other values (136) 458
59.2%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 773
99.7%
Common 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 61
 
7.9%
이 51
 
6.6%
희 33
 
4.3%
숙 31
 
4.0%
순 29
 
3.8%
정 29
 
3.8%
영 26
 
3.4%
경 26
 
3.4%
옥 15
 
1.9%
자 14
 
1.8%
Other values (136) 458
59.2%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 773
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 61
 
7.9%
이 51
 
6.6%
희 33
 
4.3%
숙 31
 
4.0%
순 29
 
3.8%
정 29
 
3.8%
영 26
 
3.4%
경 26
 
3.4%
옥 15
 
1.9%
자 14
 
1.8%
Other values (136) 458
59.2%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

구군
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
달서구
89 
수성구
45 
동구
34 
중구
21 
달성군
19 
Other values (3)
49 

Length

Max length3
Median length3
Mean length2.5953307
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달서구 89
34.6%
수성구 45
17.5%
동구 34
 
13.2%
중구 21
 
8.2%
달성군 19
 
7.4%
북구 18
 
7.0%
서구 16
 
6.2%
남구 15
 
5.8%

Length

2023-12-12T22:14:58.716621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:14:58.854778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구 89
34.6%
수성구 45
17.5%
동구 34
 
13.2%
중구 21
 
8.2%
달성군 19
 
7.4%
북구 18
 
7.0%
서구 16
 
6.2%
남구 15
 
5.8%

주소
Text

Distinct256
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:14:59.275209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length16.36965
Min length5

Characters and Unicode

Total characters4207
Distinct characters193
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)99.2%

Sample

1st row동덕로36길 60
2nd row중앙대로 282
3rd row이천로 184-8
4th row경상감영1길 41
5th row명륜로 63
ValueCountFrequency (%)
화원읍 10
 
1.5%
120 7
 
1.0%
파동로 6
 
0.9%
우방대자연맨션1차아파트 6
 
0.9%
14동 6
 
0.9%
범어동 5
 
0.7%
지산동 5
 
0.7%
상가 5
 
0.7%
달구벌대로 4
 
0.6%
아양로 4
 
0.6%
Other values (532) 612
91.3%
2023-12-12T22:14:59.826753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
10.4%
1 307
 
7.3%
로 255
 
6.1%
동 226
 
5.4%
) 189
 
4.5%
( 188
 
4.5%
2 184
 
4.4%
길 143
 
3.4%
3 140
 
3.3%
4 126
 
3.0%
Other values (183) 2012
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1884
44.8%
Decimal Number 1357
32.3%
Space Separator 437
 
10.4%
Close Punctuation 189
 
4.5%
Open Punctuation 188
 
4.5%
Dash Punctuation 107
 
2.5%
Other Punctuation 44
 
1.0%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 255
 
13.5%
동 226
 
12.0%
길 143
 
7.6%
상 51
 
2.7%
대 44
 
2.3%
산 43
 
2.3%
당 40
 
2.1%
신 40
 
2.1%
성 38
 
2.0%
가 32
 
1.7%
Other values (165) 972
51.6%
Decimal Number
ValueCountFrequency (%)
1 307
22.6%
2 184
13.6%
3 140
10.3%
4 126
9.3%
5 121
 
8.9%
6 111
 
8.2%
0 106
 
7.8%
7 96
 
7.1%
8 89
 
6.6%
9 77
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 41
93.2%
/ 2
 
4.5%
@ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2322
55.2%
Hangul 1884
44.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 255
 
13.5%
동 226
 
12.0%
길 143
 
7.6%
상 51
 
2.7%
대 44
 
2.3%
산 43
 
2.3%
당 40
 
2.1%
신 40
 
2.1%
성 38
 
2.0%
가 32
 
1.7%
Other values (165) 972
51.6%
Common
ValueCountFrequency (%)
437
18.8%
1 307
13.2%
) 189
8.1%
( 188
8.1%
2 184
7.9%
3 140
 
6.0%
4 126
 
5.4%
5 121
 
5.2%
6 111
 
4.8%
- 107
 
4.6%
Other values (7) 412
17.7%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2323
55.2%
Hangul 1884
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
18.8%
1 307
13.2%
) 189
8.1%
( 188
8.1%
2 184
7.9%
3 140
 
6.0%
4 126
 
5.4%
5 121
 
5.2%
6 111
 
4.8%
- 107
 
4.6%
Other values (8) 413
17.8%
Hangul
ValueCountFrequency (%)
로 255
 
13.5%
동 226
 
12.0%
길 143
 
7.6%
상 51
 
2.7%
대 44
 
2.3%
산 43
 
2.3%
당 40
 
2.1%
신 40
 
2.1%
성 38
 
2.0%
가 32
 
1.7%
Other values (165) 972
51.6%

연락처
Text

MISSING 

Distinct240
Distinct (%)100.0%
Missing17
Missing (%)6.6%
Memory size2.1 KiB
2023-12-12T22:15:00.072455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.025
Min length12

Characters and Unicode

Total characters2886
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

Unique240 ?
Unique (%)100.0%

Sample

1st row053-423-1473
2nd row053-423-7827
3rd row053-425-9732
4th row053-254-4317
5th row053-255-8555
ValueCountFrequency (%)
053-756-3369 1
 
0.4%
053-425-5243 1
 
0.4%
053-652-1800 1
 
0.4%
053-636-3688 1
 
0.4%
053-636-9033 1
 
0.4%
053-624-3953 1
 
0.4%
053-526-2648 1
 
0.4%
053-656-6053 1
 
0.4%
053-584-2405 1
 
0.4%
053-582-0359 1
 
0.4%
Other values (230) 230
95.8%
2023-12-12T22:15:00.445862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 480
16.6%
5 472
16.4%
3 413
14.3%
0 355
12.3%
6 201
7.0%
2 199
6.9%
8 180
 
6.2%
7 176
 
6.1%
1 139
 
4.8%
4 138
 
4.8%
Other values (2) 133
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2405
83.3%
Dash Punctuation 480
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 472
19.6%
3 413
17.2%
0 355
14.8%
6 201
8.4%
2 199
8.3%
8 180
 
7.5%
7 176
 
7.3%
1 139
 
5.8%
4 138
 
5.7%
9 132
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2886
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 480
16.6%
5 472
16.4%
3 413
14.3%
0 355
12.3%
6 201
7.0%
2 199
6.9%
8 180
 
6.2%
7 176
 
6.1%
1 139
 
4.8%
4 138
 
4.8%
Other values (2) 133
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 480
16.6%
5 472
16.4%
3 413
14.3%
0 355
12.3%
6 201
7.0%
2 199
6.9%
8 180
 
6.2%
7 176
 
6.1%
1 139
 
4.8%
4 138
 
4.8%
Other values (2) 133
 
4.6%

대표메뉴
Text

Distinct130
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:15:00.674012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length4.5058366
Min length1

Characters and Unicode

Total characters1158
Distinct characters175
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)38.9%

Sample

1st row커트일반
2nd row참치김밥
3rd row커트
4th row설렁탕
5th row자장면
ValueCountFrequency (%)
칼국수 28
 
10.7%
자장면 18
 
6.9%
커트 13
 
5.0%
컷트 12
 
4.6%
잔치국수 11
 
4.2%
짜장면 9
 
3.4%
된장찌개 7
 
2.7%
파마 5
 
1.9%
돼지국밥 5
 
1.9%
비빔밥 4
 
1.5%
Other values (116) 150
57.3%
2023-12-12T22:15:01.024612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 68
 
5.9%
56
 
4.8%
수 51
 
4.4%
장 44
 
3.8%
칼 34
 
2.9%
트 33
 
2.8%
면 30
 
2.6%
0 30
 
2.6%
) 28
 
2.4%
밥 28
 
2.4%
Other values (165) 756
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 947
81.8%
Decimal Number 67
 
5.8%
Space Separator 56
 
4.8%
Close Punctuation 28
 
2.4%
Open Punctuation 27
 
2.3%
Lowercase Letter 21
 
1.8%
Other Punctuation 9
 
0.8%
Math Symbol 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 68
 
7.2%
수 51
 
5.4%
장 44
 
4.6%
칼 34
 
3.6%
트 33
 
3.5%
면 30
 
3.2%
밥 28
 
3.0%
비 24
 
2.5%
자 23
 
2.4%
커 19
 
2.0%
Other values (149) 593
62.6%
Decimal Number
ValueCountFrequency (%)
0 30
44.8%
1 16
23.9%
2 9
 
13.4%
5 7
 
10.4%
8 2
 
3.0%
3 1
 
1.5%
4 1
 
1.5%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 947
81.8%
Common 189
 
16.3%
Latin 22
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 68
 
7.2%
수 51
 
5.4%
장 44
 
4.6%
칼 34
 
3.6%
트 33
 
3.5%
면 30
 
3.2%
밥 28
 
3.0%
비 24
 
2.5%
자 23
 
2.4%
커 19
 
2.0%
Other values (149) 593
62.6%
Common
ValueCountFrequency (%)
56
29.6%
0 30
15.9%
) 28
14.8%
( 27
14.3%
1 16
 
8.5%
2 9
 
4.8%
, 8
 
4.2%
5 7
 
3.7%
8 2
 
1.1%
+ 2
 
1.1%
Other values (4) 4
 
2.1%
Latin
ValueCountFrequency (%)
g 21
95.5%
A 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 947
81.8%
ASCII 211
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 68
 
7.2%
수 51
 
5.4%
장 44
 
4.6%
칼 34
 
3.6%
트 33
 
3.5%
면 30
 
3.2%
밥 28
 
3.0%
비 24
 
2.5%
자 23
 
2.4%
커 19
 
2.0%
Other values (149) 593
62.6%
ASCII
ValueCountFrequency (%)
56
26.5%
0 30
14.2%
) 28
13.3%
( 27
12.8%
g 21
 
10.0%
1 16
 
7.6%
2 9
 
4.3%
, 8
 
3.8%
5 7
 
3.3%
8 2
 
0.9%
Other values (6) 7
 
3.3%

대표메뉴가격
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
6000
36 
5000
33 
4000
26 
7000
26 
8000
21 
Other values (37)
115 

Length

Max length14
Median length4
Mean length4.2957198
Min length4

Unique

Unique22 ?
Unique (%)8.6%

Sample

1st row8000
2nd row1200
3rd row8000
4th row9000
5th row4000

Common Values

ValueCountFrequency (%)
6000 36
14.0%
5000 33
12.8%
4000 26
10.1%
7000 26
10.1%
8000 21
 
8.2%
4500 15
 
5.8%
10000 13
 
5.1%
9000 12
 
4.7%
3000 10
 
3.9%
5500 8
 
3.1%
Other values (32) 57
22.2%

Length

2023-12-12T22:15:01.151289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6000 41
15.5%
5000 34
12.8%
4000 28
10.6%
7000 27
10.2%
8000 21
 
7.9%
4500 15
 
5.7%
10000 13
 
4.9%
9000 12
 
4.5%
3000 10
 
3.8%
5500 8
 
3.0%
Other values (29) 56
21.1%

Interactions

2023-12-12T22:14:55.861301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:15:01.226339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종구군대표메뉴가격
연번1.0000.3870.9370.247
업종0.3871.0000.4390.925
구군0.9370.4391.0000.528
대표메뉴가격0.2470.9250.5281.000
2023-12-12T22:15:01.317993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군대표메뉴가격업종
구군1.0000.2140.202
대표메뉴가격0.2141.0000.542
업종0.2020.5421.000
2023-12-12T22:15:01.414735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종구군대표메뉴가격
연번1.0000.1520.8080.078
업종0.1521.0000.2020.542
구군0.8080.2021.0000.214
대표메뉴가격0.0780.5420.2141.000

Missing values

2023-12-12T22:14:56.291430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:14:56.464649image/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

연번업종업소명업주명구군주소연락처대표메뉴대표메뉴가격
01이미용업현대이용소이수길중구동덕로36길 60053-423-1473커트일반8000
12한식춘사김밥이춘자중구중앙대로 282053-423-7827참치김밥1200
23이미용업영생이용소김상국중구이천로 184-8053-425-9732커트8000
34한식마산설렁탕조웅제중구경상감영1길 41053-254-4317설렁탕9000
45중식중해반점우려원중구명륜로 63053-255-8555자장면4000
56중식만리향반점전은숙중구명덕로35길 112053-255-9380자장면4000
67이미용업은혜이용소성기환중구명륜로 98053-427-2021학생커트7000
78한식한우장김여옥중구국채보상로 567053-257-1125설렁탕8000
89한식단아정권기화중구동덕로 177053-256-9292삼계탕10000
910한식옛날국수공희영중구중앙대로 439053-256-1221잔치국수2000
연번업종업소명업주명구군주소연락처대표메뉴대표메뉴가격
247248목욕업선샤인사우나이태현달성군다사읍 대실역북로2길 8-6053-587-0035목욕료남 6500 여 6000
248249한식이놈애양곱창최설봄달성군다사읍 다사로 7053-588-7419모듬메뉴23000
249250한식고구려나윤덕달성군화원읍 명천로 244053-639-6766돼지갈비(200g)9000
250251한식대명숯불갈비한경순달성군논공읍 금강로2길 19-2053-615-8668비빔밥6000
251252한식별난집삼겹살김영보달성군화원읍 명천로 250053-636-1960삼겹살(150g)8500
252253한식호야네착한국수이영아달성군화원읍 비슬로512길 66,104호053-638-6913팥칼국수7000
253254한식웰빙 보리밥김연자달성군화원읍 비슬로512길 66, 106호053-637-2752보리밥6000
254255이미용업헤어일번지이말희달성군화원읍 비슬로512길 66,108호<NA>컷트7000
255256한식유가국수김미정달성군유가읍 테크노중앙대로 240, 107호053-288-8400잔치국수4500
256257한식김밥 면 맛나분식문미선달성군유가읍 테크노상업로 120, 134호(엠스퀘어플러스)053-611-5420김밥2000