Overview

Dataset statistics

Number of variables11
Number of observations25
Missing cells3
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory96.3 B

Variable types

Categorical2
Text4
DateTime2
Numeric3

Dataset

Description대구광역시 북구 관내에서 운영중인 착한가격업소현황(업종구분, 업소명, 지정일자, 구군, 전화번호, 주소 등)정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15030563/fileData.do

Alerts

구군 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
전화번호 has 3 (12.0%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:28:43.287616
Analysis finished2023-12-12 03:28:45.180979
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종구분
Categorical

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
한식
11 
미용업
5 
이용업
4 
중식
4 
세탁업
 
1

Length

Max length3
Median length2
Mean length2.4
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 11
44.0%
미용업 5
20.0%
이용업 4
 
16.0%
중식 4
 
16.0%
세탁업 1
 
4.0%

Length

2023-12-12T12:28:45.278204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:28:45.442428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 11
44.0%
미용업 5
20.0%
이용업 4
 
16.0%
중식 4
 
16.0%
세탁업 1
 
4.0%

업소명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:28:45.698729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.2
Min length2

Characters and Unicode

Total characters130
Distinct characters92
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row희망이발관
2nd row모범이용원
3rd row한신이용소
4th row남성헤어샵
5th row장터숯불
ValueCountFrequency (%)
희망이발관 1
 
3.8%
모범이용원 1
 
3.8%
목원헤어 1
 
3.8%
박영숙헤어 1
 
3.8%
소복한닭곰탕 1
 
3.8%
칠성루 1
 
3.8%
진미능이버섯전골 1
 
3.8%
마장동낭만대패 1
 
3.8%
별미춘천닭갈비 1
 
3.8%
손칼국수 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T12:28:46.191344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
4.6%
미 4
 
3.1%
용 4
 
3.1%
장 4
 
3.1%
어 4
 
3.1%
헤 4
 
3.1%
성 3
 
2.3%
불 3
 
2.3%
숯 3
 
2.3%
손 2
 
1.5%
Other values (82) 93
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
4.7%
미 4
 
3.1%
용 4
 
3.1%
장 4
 
3.1%
어 4
 
3.1%
헤 4
 
3.1%
성 3
 
2.3%
불 3
 
2.3%
숯 3
 
2.3%
손 2
 
1.6%
Other values (81) 92
71.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
4.7%
미 4
 
3.1%
용 4
 
3.1%
장 4
 
3.1%
어 4
 
3.1%
헤 4
 
3.1%
성 3
 
2.3%
불 3
 
2.3%
숯 3
 
2.3%
손 2
 
1.6%
Other values (81) 92
71.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
4.7%
미 4
 
3.1%
용 4
 
3.1%
장 4
 
3.1%
어 4
 
3.1%
헤 4
 
3.1%
성 3
 
2.3%
불 3
 
2.3%
숯 3
 
2.3%
손 2
 
1.6%
Other values (81) 92
71.3%
ASCII
ValueCountFrequency (%)
1
100.0%

지정일자
Date

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2011-11-01 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T12:28:46.332123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:46.466996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

구군
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
북구
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 25
100.0%

Length

2023-12-12T12:28:46.646645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:28:46.780249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 25
100.0%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing3
Missing (%)12.0%
Memory size332.0 B
2023-12-12T12:28:47.027113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row053-322-4778
2nd row053-359-1783
3rd row053-321-4058
4th row053-325-7048
5th row053-423-2008
ValueCountFrequency (%)
053-359-1783 1
 
4.5%
053-321-4058 1
 
4.5%
053-941-0010 1
 
4.5%
053-381-0501 1
 
4.5%
053-955-9346 1
 
4.5%
053-218-7474 1
 
4.5%
053-353-5178 1
 
4.5%
053-323-2818 1
 
4.5%
053-354-9090 1
 
4.5%
053-356-1817 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T12:28:47.464417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
5 42
15.9%
0 39
14.8%
2 20
7.6%
1 16
 
6.1%
8 14
 
5.3%
7 13
 
4.9%
4 13
 
4.9%
9 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
21.8%
5 42
19.1%
0 39
17.7%
2 20
9.1%
1 16
 
7.3%
8 14
 
6.4%
7 13
 
5.9%
4 13
 
5.9%
9 9
 
4.1%
6 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
5 42
15.9%
0 39
14.8%
2 20
7.6%
1 16
 
6.1%
8 14
 
5.3%
7 13
 
4.9%
4 13
 
4.9%
9 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
5 42
15.9%
0 39
14.8%
2 20
7.6%
1 16
 
6.1%
8 14
 
5.3%
7 13
 
4.9%
4 13
 
4.9%
9 9
 
3.4%

소재지도로명주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:28:47.736962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length17.72
Min length15

Characters and Unicode

Total characters443
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row대구광역시 북구 구암로21길 13
2nd row대구광역시 북구 옥산로17길 50
3rd row대구광역시 북구 칠곡중앙대로77길 29
4th row대구광역시 북구 태암로5길 11
5th row대구광역시 북구 공평로 135
ValueCountFrequency (%)
대구광역시 25
25.0%
북구 25
25.0%
침산로 3
 
3.0%
공평로 2
 
2.0%
135 2
 
2.0%
6 2
 
2.0%
원대로21길 1
 
1.0%
255 1
 
1.0%
옥산로 1
 
1.0%
62 1
 
1.0%
Other values (37) 37
37.0%
2023-12-12T12:28:48.275002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
16.9%
구 51
11.5%
대 29
 
6.5%
북 26
 
5.9%
광 25
 
5.6%
역 25
 
5.6%
시 25
 
5.6%
로 25
 
5.6%
1 21
 
4.7%
길 17
 
3.8%
Other values (36) 124
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
62.8%
Decimal Number 86
 
19.4%
Space Separator 75
 
16.9%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 51
18.3%
대 29
10.4%
북 26
9.4%
광 25
9.0%
역 25
9.0%
시 25
9.0%
로 25
9.0%
길 17
 
6.1%
산 6
 
2.2%
동 5
 
1.8%
Other values (24) 44
15.8%
Decimal Number
ValueCountFrequency (%)
1 21
24.4%
3 14
16.3%
5 13
15.1%
2 11
12.8%
8 7
 
8.1%
7 6
 
7.0%
9 6
 
7.0%
6 5
 
5.8%
0 2
 
2.3%
4 1
 
1.2%
Space Separator
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
62.8%
Common 165
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 51
18.3%
대 29
10.4%
북 26
9.4%
광 25
9.0%
역 25
9.0%
시 25
9.0%
로 25
9.0%
길 17
 
6.1%
산 6
 
2.2%
동 5
 
1.8%
Other values (24) 44
15.8%
Common
ValueCountFrequency (%)
75
45.5%
1 21
 
12.7%
3 14
 
8.5%
5 13
 
7.9%
2 11
 
6.7%
8 7
 
4.2%
7 6
 
3.6%
9 6
 
3.6%
6 5
 
3.0%
- 4
 
2.4%
Other values (2) 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
62.8%
ASCII 165
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
45.5%
1 21
 
12.7%
3 14
 
8.5%
5 13
 
7.9%
2 11
 
6.7%
8 7
 
4.2%
7 6
 
3.6%
9 6
 
3.6%
6 5
 
3.0%
- 4
 
2.4%
Other values (2) 3
 
1.8%
Hangul
ValueCountFrequency (%)
구 51
18.3%
대 29
10.4%
북 26
9.4%
광 25
9.0%
역 25
9.0%
시 25
9.0%
로 25
9.0%
길 17
 
6.1%
산 6
 
2.2%
동 5
 
1.8%
Other values (24) 44
15.8%

대표메뉴
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:28:48.515094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.8
Min length2

Characters and Unicode

Total characters195
Distinct characters55
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

Unique19 ?
Unique (%)76.0%

Sample

1st row컷트
2nd row컷트
3rd row컷트
4th row컷트
5th row돼지갈비미국산
ValueCountFrequency (%)
컷트 6
23.1%
돼지갈비미국산 2
 
7.7%
대패삼겹살(100g 1
 
3.8%
짜장면(배달 1
 
3.8%
커트(남성 1
 
3.8%
커트 1
 
3.8%
통닭(후라이드 1
 
3.8%
국내산200g 1
 
3.8%
탕수육 1
 
3.8%
삼겹살(국내산100g 1
 
3.8%
Other values (10) 10
38.5%
2023-12-12T12:28:48.938668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
21.0%
0 13
 
6.7%
) 11
 
5.6%
( 11
 
5.6%
트 9
 
4.6%
국 7
 
3.6%
g 7
 
3.6%
컷 7
 
3.6%
산 6
 
3.1%
비 5
 
2.6%
Other values (45) 78
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
52.3%
Space Separator 41
21.0%
Decimal Number 22
 
11.3%
Close Punctuation 11
 
5.6%
Open Punctuation 11
 
5.6%
Lowercase Letter 7
 
3.6%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 9
 
8.8%
국 7
 
6.9%
컷 7
 
6.9%
산 6
 
5.9%
비 5
 
4.9%
갈 5
 
4.9%
지 4
 
3.9%
닭 3
 
2.9%
돼 3
 
2.9%
장 3
 
2.9%
Other values (35) 50
49.0%
Decimal Number
ValueCountFrequency (%)
0 13
59.1%
1 5
 
22.7%
2 2
 
9.1%
8 1
 
4.5%
5 1
 
4.5%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
52.3%
Common 86
44.1%
Latin 7
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 9
 
8.8%
국 7
 
6.9%
컷 7
 
6.9%
산 6
 
5.9%
비 5
 
4.9%
갈 5
 
4.9%
지 4
 
3.9%
닭 3
 
2.9%
돼 3
 
2.9%
장 3
 
2.9%
Other values (35) 50
49.0%
Common
ValueCountFrequency (%)
41
47.7%
0 13
 
15.1%
) 11
 
12.8%
( 11
 
12.8%
1 5
 
5.8%
2 2
 
2.3%
8 1
 
1.2%
+ 1
 
1.2%
5 1
 
1.2%
Latin
ValueCountFrequency (%)
g 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
52.3%
ASCII 93
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
44.1%
0 13
 
14.0%
) 11
 
11.8%
( 11
 
11.8%
g 7
 
7.5%
1 5
 
5.4%
2 2
 
2.2%
8 1
 
1.1%
+ 1
 
1.1%
5 1
 
1.1%
Hangul
ValueCountFrequency (%)
트 9
 
8.8%
국 7
 
6.9%
컷 7
 
6.9%
산 6
 
5.9%
비 5
 
4.9%
갈 5
 
4.9%
지 4
 
3.9%
닭 3
 
2.9%
돼 3
 
2.9%
장 3
 
2.9%
Other values (35) 50
49.0%

대표메뉴가격
Real number (ℝ)

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8768
Minimum4000
Maximum19000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:28:49.142745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4000
5-th percentile4060
Q15500
median8500
Q312000
95-th percentile14400
Maximum19000
Range15000
Interquartile range (IQR)6500

Descriptive statistics

Standard deviation3833.2667
Coefficient of variation (CV)0.43718826
Kurtosis0.39975335
Mean8768
Median Absolute Deviation (MAD)3500
Skewness0.74672018
Sum219200
Variance14693933
MonotonicityNot monotonic
2023-12-12T12:28:49.316014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
12000 5
20.0%
10000 4
16.0%
5000 3
12.0%
6000 3
12.0%
4000 2
 
8.0%
11000 1
 
4.0%
5500 1
 
4.0%
8500 1
 
4.0%
19000 1
 
4.0%
8000 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
4000 2
8.0%
4300 1
 
4.0%
5000 3
12.0%
5500 1
 
4.0%
6000 3
12.0%
6900 1
 
4.0%
8000 1
 
4.0%
8500 1
 
4.0%
10000 4
16.0%
11000 1
 
4.0%
ValueCountFrequency (%)
19000 1
 
4.0%
15000 1
 
4.0%
12000 5
20.0%
11000 1
 
4.0%
10000 4
16.0%
8500 1
 
4.0%
8000 1
 
4.0%
6900 1
 
4.0%
6000 3
12.0%
5500 1
 
4.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.90298
Minimum35.876451
Maximum35.943815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:28:49.494369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.876451
5-th percentile35.876792
Q135.888074
median35.891338
Q335.929576
95-th percentile35.940249
Maximum35.943815
Range0.06736425
Interquartile range (IQR)0.04150234

Descriptive statistics

Standard deviation0.022892605
Coefficient of variation (CV)0.00063762411
Kurtosis-1.1800012
Mean35.90298
Median Absolute Deviation (MAD)0.00844424
Skewness0.65887803
Sum897.57449
Variance0.00052407138
MonotonicityNot monotonic
2023-12-12T12:28:49.670630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.8764512 2
 
8.0%
35.93345118 1
 
4.0%
35.89887136 1
 
4.0%
35.94381545 1
 
4.0%
35.92011391 1
 
4.0%
35.89978235 1
 
4.0%
35.89865867 1
 
4.0%
35.87878544 1
 
4.0%
35.88723595 1
 
4.0%
35.93432299 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
35.8764512 2
8.0%
35.87815632 1
4.0%
35.87878544 1
4.0%
35.88468243 1
4.0%
35.88723595 1
4.0%
35.88807354 1
4.0%
35.88889026 1
4.0%
35.88898745 1
4.0%
35.88899596 1
4.0%
35.88906233 1
4.0%
ValueCountFrequency (%)
35.94381545 1
4.0%
35.94098422 1
4.0%
35.93731026 1
4.0%
35.93432299 1
4.0%
35.93345118 1
4.0%
35.93150996 1
4.0%
35.92957588 1
4.0%
35.92011391 1
4.0%
35.89978235 1
4.0%
35.89887849 1
4.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58025
Minimum128.54501
Maximum128.61216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:28:49.866178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.54501
5-th percentile128.54503
Q1128.56934
median128.58236
Q3128.59878
95-th percentile128.60935
Maximum128.61216
Range0.0671479
Interquartile range (IQR)0.0294352

Descriptive statistics

Standard deviation0.021251762
Coefficient of variation (CV)0.00016528014
Kurtosis-0.9897286
Mean128.58025
Median Absolute Deviation (MAD)0.0164177
Skewness-0.38668317
Sum3214.5063
Variance0.0004516374
MonotonicityNot monotonic
2023-12-12T12:28:50.045206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
128.6009046 2
 
8.0%
128.5522614 1
 
4.0%
128.5892658 1
 
4.0%
128.5450205 1
 
4.0%
128.5961846 1
 
4.0%
128.6121571 1
 
4.0%
128.6108787 1
 
4.0%
128.5987789 1
 
4.0%
128.5818927 1
 
4.0%
128.5568637 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
128.5450092 1
4.0%
128.5450205 1
4.0%
128.5450809 1
4.0%
128.5507166 1
4.0%
128.5522614 1
4.0%
128.5568637 1
4.0%
128.5693437 1
4.0%
128.5711587 1
4.0%
128.5733233 1
4.0%
128.5749519 1
4.0%
ValueCountFrequency (%)
128.6121571 1
4.0%
128.6108787 1
4.0%
128.6032232 1
4.0%
128.6009046 2
8.0%
128.6004866 1
4.0%
128.5987789 1
4.0%
128.5961846 1
4.0%
128.5897437 1
4.0%
128.5892658 1
4.0%
128.5887879 1
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-06-23 00:00:00
Maximum2023-06-23 00:00:00
2023-12-12T12:28:50.184919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:50.325636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:28:44.491328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:43.768049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:44.181892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:44.609594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:43.877138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:44.293101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:44.720810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:44.056086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:28:44.388097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:28:50.796108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구분업소명지정일자전화번호소재지도로명주소대표메뉴대표메뉴가격위도경도
업종구분1.0001.0000.4081.0001.0001.0000.4700.2740.000
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
지정일자0.4081.0001.0001.0001.0000.8640.4470.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0000.9441.0001.0001.000
대표메뉴1.0001.0000.8641.0000.9441.0000.5730.2300.808
대표메뉴가격0.4701.0000.4471.0001.0000.5731.0000.0000.483
위도0.2741.0000.0001.0001.0000.2300.0001.0000.827
경도0.0001.0000.0001.0001.0000.8080.4830.8271.000
2023-12-12T12:28:50.949296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표메뉴가격위도경도업종구분
대표메뉴가격1.0000.1260.1570.264
위도0.1261.000-0.6470.107
경도0.157-0.6471.0000.000
업종구분0.2640.1070.0001.000

Missing values

2023-12-12T12:28:44.881172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:28:45.105263image/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

업종구분업소명지정일자구군전화번호소재지도로명주소대표메뉴대표메뉴가격위도경도데이터기준일자
0이용업희망이발관2011-11-01북구053-322-4778대구광역시 북구 구암로21길 13컷트1100035.933451128.5522612023-06-23
1이용업모범이용원2011-11-01북구053-359-1783대구광역시 북구 옥산로17길 50컷트1200035.88889128.5868722023-06-23
2이용업한신이용소2011-11-01북구053-321-4058대구광역시 북구 칠곡중앙대로77길 29컷트1000035.93151128.5450812023-06-23
3이용업남성헤어샵2012-06-25북구053-325-7048대구광역시 북구 태암로5길 11컷트1000035.929576128.5507172023-06-23
4한식장터숯불2012-06-25북구053-423-2008대구광역시 북구 공평로 135돼지갈비미국산400035.876451128.6009052023-06-23
5한식변사또숯불2012-06-25북구053-422-8650대구광역시 북구 공평로 135돼지갈비미국산400035.876451128.6009052023-06-23
6한식유정식당2012-06-25북구053-351-1140대구광역시 북구 오봉로3길 28삼겹살(100g)500035.890103128.5749522023-06-23
7중식상하이반점2012-06-25북구053-325-8376대구광역시 북구 관음동로9길 19짬뽕550035.93731128.5450092023-06-23
8중식짜장궁2012-06-25북구053-423-2937대구광역시 북구 칠성남로35길 30-28짜장면500035.878156128.6004872023-06-23
9한식늘봄숯불2012-06-25북구053-355-4521대구광역시 북구 오봉로1길 51돼지갈비(국산200g)1200035.889062128.5733232023-06-23
업종구분업소명지정일자구군전화번호소재지도로명주소대표메뉴대표메뉴가격위도경도데이터기준일자
15미용업짚시헤어라인2019-10-25북구<NA>대구광역시 북구 침산로 255컷트600035.898878128.5887882023-06-23
16한식예손가 손칼국수2019-10-25북구053-354-9090대구광역시 북구 옥산로 62바지락칼국수+공기밥800035.884682128.5823612023-06-23
17한식별미춘천닭갈비2022-12-01북구053-323-2818대구광역시 북구 동암로38길 29-31닭갈비(800g)1000035.940984128.5693442023-06-23
18한식마장동낭만대패2022-12-01북구<NA>대구광역시 북구 팔거천동로24길 7-1대패삼겹살(100g)430035.934323128.5568642023-06-23
19한식진미능이버섯전골2022-12-01북구053-353-5178대구광역시 북구 원대로21길 6삼겹살(국내산100g)600035.887236128.5818932023-06-23
20중식칠성루2023-06-15북구053-218-7474대구광역시 북구 칠성로 88탕수육 (국내산200g)1200035.878785128.5987792023-06-23
21한식소복한닭곰탕2023-06-15북구053-955-9346대구광역시 북구 대동로1길 35통닭(후라이드)1500035.898659128.6108792023-06-23
22미용업박영숙헤어2023-06-15북구053-381-0501대구광역시 북구 동북로서37길 16커트1200035.899782128.6121572023-06-23
23미용업목원헤어2023-06-15북구053-941-0010대구광역시 북구 서변로9길 6커트(남성)1200035.920114128.5961852023-06-23
24한식맛있는이오갈비2023-06-15북구053-326-6222대구광역시 북구 관음중앙로 111이오갈비(국내산150g)690035.943815128.545022023-06-23