Overview

Dataset statistics

Number of variables19
Number of observations105
Missing cells109
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 KiB
Average record size in memory157.3 B

Variable types

Numeric3
Text3
Categorical5
Boolean8

Dataset

Description대구 달서구 전통시장 중 하나인 신내당시장상점가의 상점정보에 대한 csv 파일이다. 시장의 상점들의 주소, 상품권 사용 유무 등의 정보을 파악할 수 있다.
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15109991/fileData.do

Alerts

홈페이지 주소 has constant value ""Constant
빈점포 유무 has constant value ""Constant
구역 내외 유무 has constant value ""Constant
지번주소 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
도로명주소 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
상점코드 is highly overall correlated with 카드단말기 유무High correlation
경도 is highly overall correlated with 도로명주소 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 도로명주소 and 1 other fieldsHigh correlation
상가번영회 가입 유무 is highly overall correlated with 온누리상품권 사용유무High correlation
온누리상품권 사용유무 is highly overall correlated with 상가번영회 가입 유무High correlation
문화상품권 사용유무 is highly overall correlated with 전자상품권 사용유무High correlation
전자상품권 사용유무 is highly overall correlated with 문화상품권 사용유무High correlation
카드단말기 유무 is highly overall correlated with 상점코드High correlation
종업원 수 is highly imbalanced (56.4%)Imbalance
대표품목 has 5 (4.8%) missing valuesMissing
홈페이지 주소 has 104 (99.0%) missing valuesMissing
상점코드 has unique valuesUnique
상점명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:03:34.872556
Analysis finished2023-12-12 23:03:37.395541
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상점코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.790476
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T08:03:37.470473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q128
median56
Q383
95-th percentile108.8
Maximum114
Range113
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.811728
Coefficient of variation (CV)0.58812419
Kurtosis-1.1476519
Mean55.790476
Median Absolute Deviation (MAD)28
Skewness0.057642124
Sum5858
Variance1076.6095
MonotonicityStrictly increasing
2023-12-13T08:03:37.597666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
84 1
 
1.0%
82 1
 
1.0%
80 1
 
1.0%
79 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
114 1
1.0%
113 1
1.0%
112 1
1.0%
111 1
1.0%
110 1
1.0%
109 1
1.0%
108 1
1.0%
106 1
1.0%
105 1
1.0%
103 1
1.0%

상점명
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-13T08:03:37.863446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.5904762
Min length2

Characters and Unicode

Total characters587
Distinct characters246
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

Unique105 ?
Unique (%)100.0%

Sample

1st row경진 냉동식품
2nd row달떡볶이분식
3rd row봉화아저씨
4th row네이처컬렉션
5th row강기향 헤어스토리
ValueCountFrequency (%)
노점 10
 
7.4%
경진 1
 
0.7%
과일 1
 
0.7%
대성통닭 1
 
0.7%
피자스쿨 1
 
0.7%
찬나라각종반찬 1
 
0.7%
성주식당 1
 
0.7%
신일식품 1
 
0.7%
서울떡집 1
 
0.7%
전문 1
 
0.7%
Other values (117) 117
86.0%
2023-12-13T08:03:38.226147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
5.3%
노 12
 
2.0%
점 12
 
2.0%
이 11
 
1.9%
리 9
 
1.5%
떡 9
 
1.5%
한 9
 
1.5%
1 8
 
1.4%
수 8
 
1.4%
우 8
 
1.4%
Other values (236) 470
80.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
89.9%
Space Separator 31
 
5.3%
Decimal Number 17
 
2.9%
Uppercase Letter 7
 
1.2%
Lowercase Letter 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 12
 
2.3%
점 12
 
2.3%
이 11
 
2.1%
리 9
 
1.7%
떡 9
 
1.7%
한 9
 
1.7%
수 8
 
1.5%
우 8
 
1.5%
학 8
 
1.5%
스 7
 
1.3%
Other values (218) 435
82.4%
Decimal Number
ValueCountFrequency (%)
1 8
47.1%
4 2
 
11.8%
5 2
 
11.8%
3 1
 
5.9%
9 1
 
5.9%
8 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
I 2
28.6%
N 1
14.3%
G 1
14.3%
T 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 528
89.9%
Common 50
 
8.5%
Latin 9
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 12
 
2.3%
점 12
 
2.3%
이 11
 
2.1%
리 9
 
1.7%
떡 9
 
1.7%
한 9
 
1.7%
수 8
 
1.5%
우 8
 
1.5%
학 8
 
1.5%
스 7
 
1.3%
Other values (218) 435
82.4%
Common
ValueCountFrequency (%)
31
62.0%
1 8
 
16.0%
4 2
 
4.0%
5 2
 
4.0%
3 1
 
2.0%
9 1
 
2.0%
8 1
 
2.0%
6 1
 
2.0%
7 1
 
2.0%
) 1
 
2.0%
Latin
ValueCountFrequency (%)
A 2
22.2%
I 2
22.2%
N 1
11.1%
G 1
11.1%
T 1
11.1%
m 1
11.1%
t 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 528
89.9%
ASCII 59
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
52.5%
1 8
 
13.6%
A 2
 
3.4%
I 2
 
3.4%
4 2
 
3.4%
5 2
 
3.4%
3 1
 
1.7%
9 1
 
1.7%
8 1
 
1.7%
6 1
 
1.7%
Other values (8) 8
 
13.6%
Hangul
ValueCountFrequency (%)
노 12
 
2.3%
점 12
 
2.3%
이 11
 
2.1%
리 9
 
1.7%
떡 9
 
1.7%
한 9
 
1.7%
수 8
 
1.5%
우 8
 
1.5%
학 8
 
1.5%
스 7
 
1.3%
Other values (218) 435
82.4%

도로명주소
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size972.0 B
대구광역시 달서구 야외음악당로39길 54 (삼정그린빌상가)
28 
대구광역시 달서구 야외음악당로39동길 25
10 
대구광역시 달서구 야외음악당로39동길 31
7 
대구광역시 달서구 야외음악당로39동길 9
6 
대구광역시 달서구 달구벌대로 1726-8
6 
Other values (29)
48 

Length

Max length35
Median length32
Mean length25.819048
Min length20

Unique

Unique18 ?
Unique (%)17.1%

Sample

1st row대구광역시 달서구 야외음악당로39동길 31
2nd row대구광역시 달서구 야외음악당로39동길 31
3rd row대구광역시 달서구 야외음악당로39동길 31
4th row대구광역시 달서구 야외음악당로39동길 31
5th row대구광역시 달서구 야외음악당로39동길 31

Common Values

ValueCountFrequency (%)
대구광역시 달서구 야외음악당로39길 54 (삼정그린빌상가) 28
26.7%
대구광역시 달서구 야외음악당로39동길 25 10
 
9.5%
대구광역시 달서구 야외음악당로39동길 31 7
 
6.7%
대구광역시 달서구 야외음악당로39동길 9 6
 
5.7%
대구광역시 달서구 달구벌대로 1726-8 6
 
5.7%
대구광역시 달서구 달구벌대로344길 15 5
 
4.8%
대구광역시 달서구 달구벌대로 1726-16 4
 
3.8%
대구광역시 달서구 달구벌대로 1728 3
 
2.9%
대구광역시 달서구 야외음악당로39길 68 3
 
2.9%
대구광역시 달서구 달구벌대로 1726-12 3
 
2.9%
Other values (24) 30
28.6%

Length

2023-12-13T08:03:38.361900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 105
22.8%
달서구 105
22.8%
야외음악당로39동길 37
 
8.0%
야외음악당로39길 32
 
6.9%
삼정그린빌상가 29
 
6.3%
54 29
 
6.3%
달구벌대로 27
 
5.9%
25 10
 
2.2%
달구벌대로344길 9
 
2.0%
31 8
 
1.7%
Other values (30) 70
15.2%

지번주소
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
대구광역시 달서구 두류동 486-2
29 
대구광역시 달서구 두류동 489-4
10 
대구광역시 달서구 두류동 489-5
8 
대구광역시 달서구 두류동 489-8
6 
대구광역시 달서구 두류동 489-6
6 
Other values (23)
46 

Length

Max length29
Median length19
Mean length19.485714
Min length19

Unique

Unique11 ?
Unique (%)10.5%

Sample

1st row대구광역시 달서구 두류동 489-5
2nd row대구광역시 달서구 두류동 489-5
3rd row대구광역시 달서구 두류동 489-5
4th row대구광역시 달서구 두류동 489-5
5th row대구광역시 달서구 두류동 489-5

Common Values

ValueCountFrequency (%)
대구광역시 달서구 두류동 486-2 29
27.6%
대구광역시 달서구 두류동 489-4 10
 
9.5%
대구광역시 달서구 두류동 489-5 8
 
7.6%
대구광역시 달서구 두류동 489-8 6
 
5.7%
대구광역시 달서구 두류동 489-6 6
 
5.7%
대구광역시 달서구 두류동 490-21 6
 
5.7%
대구광역시 달서구 두류동 489-7 5
 
4.8%
대구광역시 달서구 두류동 490-3 5
 
4.8%
대구광역시 달서구 두류동 491-9 3
 
2.9%
대구광역시 달서구 두류동 488-22 2
 
1.9%
Other values (18) 25
23.8%

Length

2023-12-13T08:03:38.503890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 105
24.6%
달서구 105
24.6%
두류동 104
24.4%
486-2 29
 
6.8%
489-4 10
 
2.3%
489-5 8
 
1.9%
489-8 7
 
1.6%
489-6 6
 
1.4%
490-21 6
 
1.4%
489-7 5
 
1.2%
Other values (21) 41
 
9.6%

업종분류
Categorical

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
기타
69 
음식점
24 
쇼핑시설
8 
카페
 
3
숙박업소
 
1

Length

Max length4
Median length2
Mean length2.4
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row기타
2nd row음식점
3rd row기타
4th row쇼핑시설
5th row기타

Common Values

ValueCountFrequency (%)
기타 69
65.7%
음식점 24
 
22.9%
쇼핑시설 8
 
7.6%
카페 3
 
2.9%
숙박업소 1
 
1.0%

Length

2023-12-13T08:03:38.615509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:38.710250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 69
65.7%
음식점 24
 
22.9%
쇼핑시설 8
 
7.6%
카페 3
 
2.9%
숙박업소 1
 
1.0%

대표품목
Text

MISSING 

Distinct76
Distinct (%)76.0%
Missing5
Missing (%)4.8%
Memory size972.0 B
2023-12-13T08:03:38.952380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length3.56
Min length1

Characters and Unicode

Total characters356
Distinct characters159
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

Unique62 ?
Unique (%)62.0%

Sample

1st row건조안주, 냉동식품
2nd row떡볶이
3rd row과일
4th row화장품
5th row미용실
ValueCountFrequency (%)
채소 7
 
5.7%
과일 5
 
4.1%
떡볶이 4
 
3.3%
정육점 3
 
2.5%
반찬 3
 
2.5%
학원 3
 
2.5%
옷 3
 
2.5%
부동산 2
 
1.6%
한우 2
 
1.6%
중개업 2
 
1.6%
Other values (83) 88
72.1%
2023-12-13T08:03:39.343476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
6.2%
이 10
 
2.8%
채 8
 
2.2%
, 8
 
2.2%
소 8
 
2.2%
떡 7
 
2.0%
원 6
 
1.7%
학 5
 
1.4%
옷 5
 
1.4%
장 5
 
1.4%
Other values (149) 272
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
88.8%
Space Separator 22
 
6.2%
Other Punctuation 8
 
2.2%
Decimal Number 8
 
2.2%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
3.2%
채 8
 
2.5%
소 8
 
2.5%
떡 7
 
2.2%
원 6
 
1.9%
학 5
 
1.6%
옷 5
 
1.6%
장 5
 
1.6%
교 5
 
1.6%
반 5
 
1.6%
Other values (140) 252
79.7%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
0 2
25.0%
8 1
12.5%
4 1
12.5%
6 1
12.5%
5 1
12.5%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
88.8%
Common 38
 
10.7%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
3.2%
채 8
 
2.5%
소 8
 
2.5%
떡 7
 
2.2%
원 6
 
1.9%
학 5
 
1.6%
옷 5
 
1.6%
장 5
 
1.6%
교 5
 
1.6%
반 5
 
1.6%
Other values (140) 252
79.7%
Common
ValueCountFrequency (%)
22
57.9%
, 8
 
21.1%
1 2
 
5.3%
0 2
 
5.3%
8 1
 
2.6%
4 1
 
2.6%
6 1
 
2.6%
5 1
 
2.6%
Latin
ValueCountFrequency (%)
K 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
88.8%
ASCII 40
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
55.0%
, 8
 
20.0%
K 2
 
5.0%
1 2
 
5.0%
0 2
 
5.0%
8 1
 
2.5%
4 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
Hangul
ValueCountFrequency (%)
이 10
 
3.2%
채 8
 
2.5%
소 8
 
2.5%
떡 7
 
2.2%
원 6
 
1.9%
학 5
 
1.6%
옷 5
 
1.6%
장 5
 
1.6%
교 5
 
1.6%
반 5
 
1.6%
Other values (140) 252
79.7%

상가번영회 가입 유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size237.0 B
True
63 
False
42 
ValueCountFrequency (%)
True 63
60.0%
False 42
40.0%
2023-12-13T08:03:39.445176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

온누리상품권 사용유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size237.0 B
True
60 
False
45 
ValueCountFrequency (%)
True 60
57.1%
False 45
42.9%
2023-12-13T08:03:39.518609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

문화상품권 사용유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size237.0 B
False
87 
True
18 
ValueCountFrequency (%)
False 87
82.9%
True 18
 
17.1%
2023-12-13T08:03:39.599390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전자상품권 사용유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size237.0 B
False
79 
True
26 
ValueCountFrequency (%)
False 79
75.2%
True 26
 
24.8%
2023-12-13T08:03:39.677096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카드단말기 유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size237.0 B
True
60 
False
45 
ValueCountFrequency (%)
True 60
57.1%
False 45
42.9%
2023-12-13T08:03:39.756391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

택배서비스 유무
Boolean

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size237.0 B
False
86 
True
19 
ValueCountFrequency (%)
False 86
81.9%
True 19
 
18.1%
2023-12-13T08:03:39.829234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

매출규모
Categorical

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
0~3000만원/년
64 
3000~5000만원/년
20 
<NA>
9 
5000~1억/년
 
6
1억~3억/년
 
5

Length

Max length13
Median length10
Mean length9.8285714
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0~3000만원/년
2nd row0~3000만원/년
3rd row0~3000만원/년
4th row3000~5000만원/년
5th row0~3000만원/년

Common Values

ValueCountFrequency (%)
0~3000만원/년 64
61.0%
3000~5000만원/년 20
 
19.0%
<NA> 9
 
8.6%
5000~1억/년 6
 
5.7%
1억~3억/년 5
 
4.8%
3억~5억/년 1
 
1.0%

Length

2023-12-13T08:03:39.934599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:40.056076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0~3000만원/년 64
61.0%
3000~5000만원/년 20
 
19.0%
na 9
 
8.6%
5000~1억/년 6
 
5.7%
1억~3억/년 5
 
4.8%
3억~5억/년 1
 
1.0%

종업원 수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
82 
2
17 
3
 
4
10
 
1
0
 
1

Length

Max length2
Median length1
Mean length1.0095238
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 82
78.1%
2 17
 
16.2%
3 4
 
3.8%
10 1
 
1.0%
0 1
 
1.0%

Length

2023-12-13T08:03:40.232664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:40.363216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
78.1%
2 17
 
16.2%
3 4
 
3.8%
10 1
 
1.0%
0 1
 
1.0%

홈페이지 주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing104
Missing (%)99.0%
Memory size972.0 B
2023-12-13T08:03:40.534002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttps://blog.naver.com/yellow8485
ValueCountFrequency (%)
https://blog.naver.com/yellow8485 1
100.0%
2023-12-13T08:03:40.856881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3
 
9.1%
l 3
 
9.1%
o 3
 
9.1%
e 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
t 2
 
6.1%
h 1
 
3.0%
4 1
 
3.0%
w 1
 
3.0%
Other values (13) 13
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23
69.7%
Other Punctuation 6
 
18.2%
Decimal Number 4
 
12.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 3
13.0%
o 3
13.0%
e 2
 
8.7%
t 2
 
8.7%
h 1
 
4.3%
w 1
 
4.3%
y 1
 
4.3%
m 1
 
4.3%
c 1
 
4.3%
r 1
 
4.3%
Other values (7) 7
30.4%
Other Punctuation
ValueCountFrequency (%)
/ 3
50.0%
. 2
33.3%
: 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
8 2
50.0%
4 1
25.0%
5 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23
69.7%
Common 10
30.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 3
13.0%
o 3
13.0%
e 2
 
8.7%
t 2
 
8.7%
h 1
 
4.3%
w 1
 
4.3%
y 1
 
4.3%
m 1
 
4.3%
c 1
 
4.3%
r 1
 
4.3%
Other values (7) 7
30.4%
Common
ValueCountFrequency (%)
/ 3
30.0%
8 2
20.0%
. 2
20.0%
4 1
 
10.0%
: 1
 
10.0%
5 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3
 
9.1%
l 3
 
9.1%
o 3
 
9.1%
e 2
 
6.1%
8 2
 
6.1%
. 2
 
6.1%
t 2
 
6.1%
h 1
 
3.0%
4 1
 
3.0%
w 1
 
3.0%
Other values (13) 13
39.4%

빈점포 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size237.0 B
False
105 
ValueCountFrequency (%)
False 105
100.0%
2023-12-13T08:03:40.980579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

구역 내외 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size237.0 B
True
105 
ValueCountFrequency (%)
True 105
100.0%
2023-12-13T08:03:41.055000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.55459
Minimum128.55341
Maximum128.55542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T08:03:41.167545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.55341
5-th percentile128.55364
Q1128.55431
median128.55452
Q3128.55542
95-th percentile128.55542
Maximum128.55542
Range0.00201
Interquartile range (IQR)0.001108

Descriptive statistics

Standard deviation0.00062177892
Coefficient of variation (CV)4.8366915 × 10-6
Kurtosis-0.97049726
Mean128.55459
Median Absolute Deviation (MAD)0.000382
Skewness-0.084318276
Sum13498.232
Variance3.8660902 × 10-7
MonotonicityNot monotonic
2023-12-13T08:03:41.659889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
128.555417 29
27.6%
128.554453 10
 
9.5%
128.554624 8
 
7.6%
128.554309 7
 
6.7%
128.554524 6
 
5.7%
128.553709 6
 
5.7%
128.55442 5
 
4.8%
128.553691 5
 
4.8%
128.553407 3
 
2.9%
128.554041 3
 
2.9%
Other values (13) 23
21.9%
ValueCountFrequency (%)
128.553407 3
2.9%
128.553523 2
 
1.9%
128.553628 1
 
1.0%
128.553691 5
4.8%
128.553709 6
5.7%
128.553819 2
 
1.9%
128.553958 1
 
1.0%
128.554041 3
2.9%
128.554181 1
 
1.0%
128.554251 2
 
1.9%
ValueCountFrequency (%)
128.555417 29
27.6%
128.554906 2
 
1.9%
128.554849 1
 
1.0%
128.554802 2
 
1.9%
128.554756 2
 
1.9%
128.554709 3
 
2.9%
128.554701 1
 
1.0%
128.554624 8
 
7.6%
128.554597 3
 
2.9%
128.554524 6
 
5.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.855444
Minimum35.854746
Maximum35.856419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T08:03:41.799690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.854746
5-th percentile35.854933
Q135.854933
median35.855519
Q335.855781
95-th percentile35.856229
Maximum35.856419
Range0.001673
Interquartile range (IQR)0.000848

Descriptive statistics

Standard deviation0.00048930676
Coefficient of variation (CV)1.3646652 × 10-5
Kurtosis-1.1851535
Mean35.855444
Median Absolute Deviation (MAD)0.000509
Skewness0.29702232
Sum3764.8216
Variance2.394211 × 10-7
MonotonicityNot monotonic
2023-12-13T08:03:41.919454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
35.854933 30
28.6%
35.855519 10
 
9.5%
35.855601 8
 
7.6%
35.856127 7
 
6.7%
35.855781 6
 
5.7%
35.85501 6
 
5.7%
35.85597 5
 
4.8%
35.855409 5
 
4.8%
35.856229 3
 
2.9%
35.856419 3
 
2.9%
Other values (12) 22
21.0%
ValueCountFrequency (%)
35.854746 3
 
2.9%
35.854831 2
 
1.9%
35.854933 30
28.6%
35.85501 6
 
5.7%
35.855087 2
 
1.9%
35.855382 1
 
1.0%
35.855409 5
 
4.8%
35.855487 3
 
2.9%
35.855519 10
 
9.5%
35.85555 1
 
1.0%
ValueCountFrequency (%)
35.856419 3
2.9%
35.856316 2
 
1.9%
35.856229 3
2.9%
35.856127 7
6.7%
35.856081 1
 
1.0%
35.855971 2
 
1.9%
35.85597 5
4.8%
35.855892 2
 
1.9%
35.855806 1
 
1.0%
35.855781 6
5.7%

Interactions

2023-12-13T08:03:36.668213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.127465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.389441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.750217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.210774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.469820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.842535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.302409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:36.562456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:03:42.048749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점코드도로명주소지번주소업종분류대표품목상가번영회 가입 유무온누리상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무매출규모종업원 수경도위도
상점코드1.0000.8550.8200.1960.9060.6280.6540.5160.3490.6870.1060.3820.0950.6390.785
도로명주소0.8551.0000.9990.4620.9860.3560.2940.7380.6790.4890.4990.8080.0001.0001.000
지번주소0.8200.9991.0000.0000.9800.3800.2220.6730.6730.3740.4940.8090.6311.0001.000
업종분류0.1960.4620.0001.0000.9970.1790.1530.0310.2270.2890.2370.0000.4110.0000.329
대표품목0.9060.9860.9800.9971.0000.7950.7930.3590.7650.6850.7130.0000.9250.9280.877
상가번영회 가입 유무0.6280.3560.3800.1790.7951.0000.8130.2560.3800.3640.0000.0740.0000.1560.484
온누리상품권 사용유무0.6540.2940.2220.1530.7930.8131.0000.5320.4270.4620.2400.0000.2170.0080.389
문화상품권 사용유무0.5160.7380.6730.0310.3590.2560.5321.0000.7320.5320.2940.0960.1170.3460.625
전자상품권 사용유무0.3490.6790.6730.2270.7650.3800.4270.7321.0000.6140.3020.1650.2170.4840.465
카드단말기 유무0.6870.4890.3740.2890.6850.3640.4620.5320.6141.0000.3260.1800.2590.0000.305
택배서비스 유무0.1060.4990.4940.2370.7130.0000.2400.2940.3020.3261.0000.1380.0640.0000.000
매출규모0.3820.8080.8090.0000.0000.0740.0000.0960.1650.1800.1381.0000.3960.0000.275
종업원 수0.0950.0000.6310.4110.9250.0000.2170.1170.2170.2590.0640.3961.0000.1140.142
경도0.6391.0001.0000.0000.9280.1560.0080.3460.4840.0000.0000.0000.1141.0000.901
위도0.7851.0001.0000.3290.8770.4840.3890.6250.4650.3050.0000.2750.1420.9011.000
2023-12-13T08:03:42.221825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전자상품권 사용유무상가번영회 가입 유무지번주소매출규모종업원 수도로명주소온누리상품권 사용유무업종분류문화상품권 사용유무택배서비스 유무카드단말기 유무
전자상품권 사용유무1.0000.2480.4690.1970.2610.4550.2810.2720.5230.1950.421
상가번영회 가입 유무0.2481.0000.2570.0870.0000.2290.6040.2150.1650.0000.237
지번주소0.4690.2571.0000.4800.3160.9340.1440.0000.4690.3380.252
매출규모0.1970.0870.4801.0000.3300.4550.0000.0000.1140.1650.215
종업원 수0.2610.0000.3160.3301.0000.0000.2600.1630.1390.0750.312
도로명주소0.4550.2290.9340.4550.0001.0000.1870.1910.4980.3270.320
온누리상품권 사용유무0.2810.6040.1440.0000.2600.1871.0000.1830.3570.1540.305
업종분류0.2720.2150.0000.0000.1630.1910.1831.0000.0310.2840.347
문화상품권 사용유무0.5230.1650.4690.1140.1390.4980.3570.0311.0000.1900.357
택배서비스 유무0.1950.0000.3380.1650.0750.3270.1540.2840.1901.0000.211
카드단말기 유무0.4210.2370.2520.2150.3120.3200.3050.3470.3570.2111.000
2023-12-13T08:03:42.358150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점코드경도위도도로명주소지번주소업종분류상가번영회 가입 유무온누리상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무매출규모종업원 수
상점코드1.000-0.3320.0980.4390.4170.0750.4670.4870.3810.2550.5140.0720.1610.025
경도-0.3321.000-0.2230.8600.8960.0000.2050.1490.3160.4770.0000.0000.0000.064
위도0.098-0.2231.0000.8650.9000.1360.3560.2850.4650.3420.2230.0000.1100.050
도로명주소0.4390.8600.8651.0000.9340.1910.2290.1870.4980.4550.3200.3270.4550.000
지번주소0.4170.8960.9000.9341.0000.0000.2570.1440.4690.4690.2520.3380.4800.316
업종분류0.0750.0000.1360.1910.0001.0000.2150.1830.0310.2720.3470.2840.0000.163
상가번영회 가입 유무0.4670.2050.3560.2290.2570.2151.0000.6040.1650.2480.2370.0000.0870.000
온누리상품권 사용유무0.4870.1490.2850.1870.1440.1830.6041.0000.3570.2810.3050.1540.0000.260
문화상품권 사용유무0.3810.3160.4650.4980.4690.0310.1650.3571.0000.5230.3570.1900.1140.139
전자상품권 사용유무0.2550.4770.3420.4550.4690.2720.2480.2810.5231.0000.4210.1950.1970.261
카드단말기 유무0.5140.0000.2230.3200.2520.3470.2370.3050.3570.4211.0000.2110.2150.312
택배서비스 유무0.0720.0000.0000.3270.3380.2840.0000.1540.1900.1950.2111.0000.1650.075
매출규모0.1610.0000.1100.4550.4800.0000.0870.0000.1140.1970.2150.1651.0000.330
종업원 수0.0250.0640.0500.0000.3160.1630.0000.2600.1390.2610.3120.0750.3301.000

Missing values

2023-12-13T08:03:37.001605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:03:37.212963image/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.
2023-12-13T08:03:37.338786image/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

상점코드상점명도로명주소지번주소업종분류대표품목상가번영회 가입 유무온누리상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무매출규모종업원 수홈페이지 주소빈점포 유무구역 내외 유무경도위도
01경진 냉동식품대구광역시 달서구 야외음악당로39동길 31대구광역시 달서구 두류동 489-5기타건조안주, 냉동식품YYYYYN0~3000만원/년1<NA>NY128.55462435.855601
12달떡볶이분식대구광역시 달서구 야외음악당로39동길 31대구광역시 달서구 두류동 489-5음식점떡볶이YYNNNY0~3000만원/년1<NA>NY128.55462435.855601
23봉화아저씨대구광역시 달서구 야외음악당로39동길 31대구광역시 달서구 두류동 489-5기타과일YYNNYY0~3000만원/년1<NA>NY128.55462435.855601
34네이처컬렉션대구광역시 달서구 야외음악당로39동길 31대구광역시 달서구 두류동 489-5쇼핑시설화장품YYYYYN3000~5000만원/년1<NA>NY128.55462435.855601
45강기향 헤어스토리대구광역시 달서구 야외음악당로39동길 31대구광역시 달서구 두류동 489-5기타미용실NYNNYN0~3000만원/년2<NA>NY128.55462435.855601
56예스런 한우 하우스대구광역시 달서구 야외음악당로39길 54 (삼정그린빌상가)대구광역시 달서구 두류동 486-2기타정육점YYNYYY1억~3억/년1<NA>NY128.55541735.854933
67맘손반찬대구광역시 달서구 야외음악당로39길 54 (삼정그린빌상가)대구광역시 달서구 두류동 486-2기타반찬YNNNYN0~3000만원/년1<NA>NY128.55541735.854933
78현대할인마트대구광역시 달서구 달구벌대로 1726-16대구광역시 달서구 두류동 489-6기타생필품YYYNYN0~3000만원/년1<NA>NY128.55452435.855781
89내당축산대구광역시 달서구 달구벌대로 1726-16대구광역시 달서구 두류동 489-6기타한우,갈비YYYNYN3000~5000만원/년1<NA>NY128.55452435.855781
910샌드리아대구광역시 달서구 달구벌대로 1726-16대구광역시 달서구 두류동 489-6카페샌드위치NYYNYY0~3000만원/년1<NA>NY128.55452435.855781
상점코드상점명도로명주소지번주소업종분류대표품목상가번영회 가입 유무온누리상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무매출규모종업원 수홈페이지 주소빈점포 유무구역 내외 유무경도위도
95103노점 4대구광역시 달서구 달구벌대로344길 15대구광역시 달서구 두류동 490-3기타채소YYNNNN0~3000만원/년1<NA>NY128.55369135.855409
96105노점 7대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타맥반석 즉석구이 김YNNNNN0~3000만원/년1<NA>NY128.55445335.855519
97106노점 9대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타채소YYNNNN0~3000만원/년1<NA>NY128.55445335.855519
98108노점 15대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타채소YYNNNN0~3000만원/년1<NA>NY128.55445335.855519
99109노점 16대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타채소YYNNNN0~3000만원/년1<NA>NY128.55445335.855519
100110노점 14대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타잡곡YYNNNN0~3000만원/년1<NA>NY128.55445335.855519
101111노점 11대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타채소YNNNNN0~3000만원/년1<NA>NY128.55445335.855519
102112노점 13대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타잡곡YYNNNN0~3000만원/년1<NA>NY128.55445335.855519
103113내당반찬채소대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타채소YYNNNN0~3000만원/년1<NA>NY128.55445335.855519
104114포항과일대구광역시 달서구 야외음악당로39동길 25대구광역시 달서구 두류동 489-4기타과일, 채소YYNNNN0~3000만원/년1<NA>NY128.55445335.855519