Overview

Dataset statistics

Number of variables10
Number of observations95
Missing cells4
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory84.4 B

Variable types

Categorical2
Text5
Numeric3

Dataset

Description대구광역시 달서구 착한가격업소(업종, 업소명, 주소, 좌표, 연락처, 메뉴, 가격, 데이터 기준일자) 현황정보를 제공합니다.
URLhttps://www.data.go.kr/data/15117176/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 4 (4.2%) missing valuesMissing
상호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:10:44.476315
Analysis finished2023-12-12 10:10:46.698670
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct8
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size892.0 B
한식
56 
미용업
15 
중식
11 
일식
 
5
기타요식업
 
3
Other values (3)
 
5

Length

Max length5
Median length2
Mean length2.3052632
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 56
58.9%
미용업 15
 
15.8%
중식 11
 
11.6%
일식 5
 
5.3%
기타요식업 3
 
3.2%
목욕업 2
 
2.1%
세탁업 2
 
2.1%
이용업 1
 
1.1%

Length

2023-12-12T19:10:46.789169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:10:46.936815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 56
58.9%
미용업 15
 
15.8%
중식 11
 
11.6%
일식 5
 
5.3%
기타요식업 3
 
3.2%
목욕업 2
 
2.1%
세탁업 2
 
2.1%
이용업 1
 
1.1%

상호
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T19:10:47.297553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.3052632
Min length3

Characters and Unicode

Total characters504
Distinct characters210
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row365먹골촌
2nd row시골밥상
3rd row돌섬회타운
4th row가야산식당(숯불갈비)
5th row아름식당
ValueCountFrequency (%)
시골밥상 2
 
2.0%
토담골 1
 
1.0%
일미식당 1
 
1.0%
계명숯불갈비 1
 
1.0%
반할서문손만두 1
 
1.0%
맛깔정 1
 
1.0%
집밥이땡긴다 1
 
1.0%
생생맛정식 1
 
1.0%
청도시골밥상 1
 
1.0%
바사카다 1
 
1.0%
Other values (91) 91
89.2%
2023-12-12T19:10:47.769313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 15
 
3.0%
식 15
 
3.0%
국 14
 
2.8%
당 13
 
2.6%
미 11
 
2.2%
이 11
 
2.2%
어 10
 
2.0%
헤 8
 
1.6%
점 8
 
1.6%
가 8
 
1.6%
Other values (200) 391
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
96.8%
Space Separator 7
 
1.4%
Decimal Number 5
 
1.0%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 15
 
3.1%
식 15
 
3.1%
국 14
 
2.9%
당 13
 
2.7%
미 11
 
2.3%
이 11
 
2.3%
어 10
 
2.0%
헤 8
 
1.6%
점 8
 
1.6%
가 8
 
1.6%
Other values (192) 375
76.8%
Decimal Number
ValueCountFrequency (%)
5 2
40.0%
3 1
20.0%
2 1
20.0%
6 1
20.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
96.8%
Common 16
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 15
 
3.1%
식 15
 
3.1%
국 14
 
2.9%
당 13
 
2.7%
미 11
 
2.3%
이 11
 
2.3%
어 10
 
2.0%
헤 8
 
1.6%
점 8
 
1.6%
가 8
 
1.6%
Other values (192) 375
76.8%
Common
ValueCountFrequency (%)
7
43.8%
5 2
 
12.5%
& 2
 
12.5%
3 1
 
6.2%
) 1
 
6.2%
( 1
 
6.2%
2 1
 
6.2%
6 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
96.8%
ASCII 16
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 15
 
3.1%
식 15
 
3.1%
국 14
 
2.9%
당 13
 
2.7%
미 11
 
2.3%
이 11
 
2.3%
어 10
 
2.0%
헤 8
 
1.6%
점 8
 
1.6%
가 8
 
1.6%
Other values (192) 375
76.8%
ASCII
ValueCountFrequency (%)
7
43.8%
5 2
 
12.5%
& 2
 
12.5%
3 1
 
6.2%
) 1
 
6.2%
( 1
 
6.2%
2 1
 
6.2%
6 1
 
6.2%

소재지도로명주소
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T19:10:48.169200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length19.326316
Min length15

Characters and Unicode

Total characters1836
Distinct characters75
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 파도고개로30길 2
2nd row대구광역시 달서구 야외음악당로47길 112
3rd row대구광역시 달서구 달구벌대로 1732-4
4th row대구광역시 달서구 두류공원로50길 17
5th row대구광역시 달서구 파도고개로 198
ValueCountFrequency (%)
대구광역시 95
24.2%
달서구 95
24.2%
22 4
 
1.0%
20 4
 
1.0%
상인서로 4
 
1.0%
와룡로 4
 
1.0%
달구벌대로 3
 
0.8%
10 3
 
0.8%
17 3
 
0.8%
대명천로 3
 
0.8%
Other values (136) 174
44.4%
2023-12-12T19:10:48.675787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
16.2%
구 199
 
10.8%
서 109
 
5.9%
대 107
 
5.8%
달 103
 
5.6%
광 95
 
5.2%
역 95
 
5.2%
시 95
 
5.2%
로 92
 
5.0%
1 70
 
3.8%
Other values (65) 574
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1178
64.2%
Decimal Number 344
 
18.7%
Space Separator 297
 
16.2%
Other Punctuation 9
 
0.5%
Dash Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 199
16.9%
서 109
9.3%
대 107
9.1%
달 103
8.7%
광 95
8.1%
역 95
8.1%
시 95
8.1%
로 92
7.8%
길 54
 
4.6%
월 14
 
1.2%
Other values (52) 215
18.3%
Decimal Number
ValueCountFrequency (%)
1 70
20.3%
2 51
14.8%
3 46
13.4%
4 35
10.2%
0 29
8.4%
7 28
 
8.1%
6 24
 
7.0%
5 24
 
7.0%
8 22
 
6.4%
9 15
 
4.4%
Space Separator
ValueCountFrequency (%)
297
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1178
64.2%
Common 658
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 199
16.9%
서 109
9.3%
대 107
9.1%
달 103
8.7%
광 95
8.1%
역 95
8.1%
시 95
8.1%
로 92
7.8%
길 54
 
4.6%
월 14
 
1.2%
Other values (52) 215
18.3%
Common
ValueCountFrequency (%)
297
45.1%
1 70
 
10.6%
2 51
 
7.8%
3 46
 
7.0%
4 35
 
5.3%
0 29
 
4.4%
7 28
 
4.3%
6 24
 
3.6%
5 24
 
3.6%
8 22
 
3.3%
Other values (3) 32
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1178
64.2%
ASCII 658
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
45.1%
1 70
 
10.6%
2 51
 
7.8%
3 46
 
7.0%
4 35
 
5.3%
0 29
 
4.4%
7 28
 
4.3%
6 24
 
3.6%
5 24
 
3.6%
8 22
 
3.3%
Other values (3) 32
 
4.9%
Hangul
ValueCountFrequency (%)
구 199
16.9%
서 109
9.3%
대 107
9.1%
달 103
8.7%
광 95
8.1%
역 95
8.1%
시 95
8.1%
로 92
7.8%
길 54
 
4.6%
월 14
 
1.2%
Other values (52) 215
18.3%

소재지지번주소
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T19:10:49.064370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length19.884211
Min length16

Characters and Unicode

Total characters1889
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row대구광역시 달서구 두류동 88-8
2nd row대구광역시 달서구 두류동137-7
3rd row대구광역시 달서구 두류동 488-9
4th row대구광역시 달서구 두류동 141-1
5th row대구광역시 달서구 두류동 1249-19
ValueCountFrequency (%)
대구광역시 95
24.5%
달서구 95
24.5%
상인동 15
 
3.9%
신당동 13
 
3.4%
진천동 9
 
2.3%
이곡동 8
 
2.1%
두류동 8
 
2.1%
성당동 7
 
1.8%
용산동 6
 
1.6%
송현동 6
 
1.6%
Other values (109) 125
32.3%
2023-12-12T19:10:49.631188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
15.6%
구 190
 
10.1%
1 118
 
6.2%
동 98
 
5.2%
대 96
 
5.1%
광 95
 
5.0%
역 95
 
5.0%
시 95
 
5.0%
달 95
 
5.0%
서 95
 
5.0%
Other values (44) 617
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1054
55.8%
Decimal Number 455
24.1%
Space Separator 295
 
15.6%
Dash Punctuation 82
 
4.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 190
18.0%
동 98
9.3%
대 96
9.1%
광 95
9.0%
역 95
9.0%
시 95
9.0%
달 95
9.0%
서 95
9.0%
당 20
 
1.9%
상 16
 
1.5%
Other values (31) 159
15.1%
Decimal Number
ValueCountFrequency (%)
1 118
25.9%
2 46
 
10.1%
5 46
 
10.1%
4 42
 
9.2%
7 40
 
8.8%
0 36
 
7.9%
8 34
 
7.5%
3 33
 
7.3%
6 33
 
7.3%
9 27
 
5.9%
Space Separator
ValueCountFrequency (%)
295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1054
55.8%
Common 835
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 190
18.0%
동 98
9.3%
대 96
9.1%
광 95
9.0%
역 95
9.0%
시 95
9.0%
달 95
9.0%
서 95
9.0%
당 20
 
1.9%
상 16
 
1.5%
Other values (31) 159
15.1%
Common
ValueCountFrequency (%)
295
35.3%
1 118
 
14.1%
- 82
 
9.8%
2 46
 
5.5%
5 46
 
5.5%
4 42
 
5.0%
7 40
 
4.8%
0 36
 
4.3%
8 34
 
4.1%
3 33
 
4.0%
Other values (3) 63
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1054
55.8%
ASCII 835
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
295
35.3%
1 118
 
14.1%
- 82
 
9.8%
2 46
 
5.5%
5 46
 
5.5%
4 42
 
5.0%
7 40
 
4.8%
0 36
 
4.3%
8 34
 
4.1%
3 33
 
4.0%
Other values (3) 63
 
7.5%
Hangul
ValueCountFrequency (%)
구 190
18.0%
동 98
9.3%
대 96
9.1%
광 95
9.0%
역 95
9.0%
시 95
9.0%
달 95
9.0%
서 95
9.0%
당 20
 
1.9%
상 16
 
1.5%
Other values (31) 159
15.1%

위도
Real number (ℝ)

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.839314
Minimum35.808585
Maximum35.859457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T19:10:49.823717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.808585
5-th percentile35.811767
Q135.818191
median35.84529
Q335.856088
95-th percentile35.859041
Maximum35.859457
Range0.05087183
Interquartile range (IQR)0.03789634

Descriptive statistics

Standard deviation0.017811306
Coefficient of variation (CV)0.00049697677
Kurtosis-1.3950387
Mean35.839314
Median Absolute Deviation (MAD)0.01155478
Skewness-0.46191605
Sum3404.7348
Variance0.00031724264
MonotonicityNot monotonic
2023-12-12T19:10:50.040136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81791126 2
 
2.1%
35.81651286 2
 
2.1%
35.8594568 1
 
1.1%
35.81847161 1
 
1.1%
35.84949335 1
 
1.1%
35.85105195 1
 
1.1%
35.85058739 1
 
1.1%
35.85054802 1
 
1.1%
35.85350409 1
 
1.1%
35.8510514 1
 
1.1%
Other values (83) 83
87.4%
ValueCountFrequency (%)
35.80858497 1
1.1%
35.80965229 1
1.1%
35.81021842 1
1.1%
35.81146788 1
1.1%
35.81153953 1
1.1%
35.81186398 1
1.1%
35.81187623 1
1.1%
35.81196531 1
1.1%
35.81215278 1
1.1%
35.81236409 1
1.1%
ValueCountFrequency (%)
35.8594568 1
1.1%
35.85944483 1
1.1%
35.85934985 1
1.1%
35.85932672 1
1.1%
35.85906134 1
1.1%
35.85903193 1
1.1%
35.85895541 1
1.1%
35.85892928 1
1.1%
35.8584114 1
1.1%
35.85840018 1
1.1%

경도
Real number (ℝ)

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5296
Minimum128.48429
Maximum128.56682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T19:10:50.250096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.48429
5-th percentile128.49416
Q1128.51511
median128.53189
Q3128.54661
95-th percentile128.56222
Maximum128.56682
Range0.082537
Interquartile range (IQR)0.03149925

Descriptive statistics

Standard deviation0.021612992
Coefficient of variation (CV)0.00016815575
Kurtosis-0.75880552
Mean128.5296
Median Absolute Deviation (MAD)0.0149708
Skewness-0.37838335
Sum12210.312
Variance0.00046712144
MonotonicityNot monotonic
2023-12-12T19:10:50.452447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5402856 2
 
2.1%
128.5425779 2
 
2.1%
128.5649934 1
 
1.1%
128.5379434 1
 
1.1%
128.5137643 1
 
1.1%
128.5345326 1
 
1.1%
128.4848207 1
 
1.1%
128.5137379 1
 
1.1%
128.494526 1
 
1.1%
128.4859749 1
 
1.1%
Other values (83) 83
87.4%
ValueCountFrequency (%)
128.4842867 1
1.1%
128.4848207 1
1.1%
128.4859749 1
1.1%
128.4925336 1
1.1%
128.4932984 1
1.1%
128.494526 1
1.1%
128.4948709 1
1.1%
128.4954638 1
1.1%
128.4956392 1
1.1%
128.4959811 1
1.1%
ValueCountFrequency (%)
128.5668237 1
1.1%
128.5657197 1
1.1%
128.5649934 1
1.1%
128.5649639 1
1.1%
128.5623658 1
1.1%
128.5621513 1
1.1%
128.5615979 1
1.1%
128.5598243 1
1.1%
128.5548083 1
1.1%
128.5541402 1
1.1%

전화번호
Text

MISSING 

Distinct91
Distinct (%)100.0%
Missing4
Missing (%)4.2%
Memory size892.0 B
2023-12-12T19:10:50.779098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.043956
Min length12

Characters and Unicode

Total characters1096
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

Unique91 ?
Unique (%)100.0%

Sample

1st row053-622-0222
2nd row053-628-2323
3rd row053-622-4589
4th row053-624-1348
5th row053-622-5556
ValueCountFrequency (%)
053-621-9663 1
 
1.1%
053-565-3738 1
 
1.1%
053-525-9295 1
 
1.1%
053-581-1805 1
 
1.1%
053-555-1213 1
 
1.1%
053-586-6288 1
 
1.1%
053-527-1190 1
 
1.1%
053-523-8808 1
 
1.1%
053-585-5577 1
 
1.1%
053-588-3626 1
 
1.1%
Other values (81) 81
89.0%
2023-12-12T19:10:51.240854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 189
17.2%
- 182
16.6%
3 175
16.0%
0 130
11.9%
6 101
9.2%
2 77
7.0%
8 77
7.0%
1 45
 
4.1%
9 42
 
3.8%
4 39
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 914
83.4%
Dash Punctuation 182
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 189
20.7%
3 175
19.1%
0 130
14.2%
6 101
11.1%
2 77
8.4%
8 77
8.4%
1 45
 
4.9%
9 42
 
4.6%
4 39
 
4.3%
7 39
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1096
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 189
17.2%
- 182
16.6%
3 175
16.0%
0 130
11.9%
6 101
9.2%
2 77
7.0%
8 77
7.0%
1 45
 
4.1%
9 42
 
3.8%
4 39
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 189
17.2%
- 182
16.6%
3 175
16.0%
0 130
11.9%
6 101
9.2%
2 77
7.0%
8 77
7.0%
1 45
 
4.1%
9 42
 
3.8%
4 39
 
3.6%

대표메뉴
Text

Distinct50
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T19:10:51.498927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.7263158
Min length1

Characters and Unicode

Total characters354
Distinct characters98
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

Unique33 ?
Unique (%)34.7%

Sample

1st row돼지갈비
2nd row칼국수
3rd row생선초밥
4th row김치찌개
5th row칼국수
ValueCountFrequency (%)
칼국수 11
 
11.5%
자장면 10
 
10.4%
커트 7
 
7.3%
잔치국수 6
 
6.2%
파마 5
 
5.2%
된장찌개 4
 
4.2%
아메리카노 3
 
3.1%
한정식 2
 
2.1%
드라이 2
 
2.1%
정식 2
 
2.1%
Other values (37) 44
45.8%
2023-12-12T19:10:51.901044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 22
 
6.2%
국 22
 
6.2%
20
 
5.6%
장 19
 
5.4%
칼 12
 
3.4%
면 12
 
3.4%
자 11
 
3.1%
치 10
 
2.8%
정 10
 
2.8%
개 10
 
2.8%
Other values (88) 206
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
91.0%
Space Separator 20
 
5.6%
Decimal Number 5
 
1.4%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%
Lowercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 22
 
6.8%
국 22
 
6.8%
장 19
 
5.9%
칼 12
 
3.7%
면 12
 
3.7%
자 11
 
3.4%
치 10
 
3.1%
정 10
 
3.1%
개 10
 
3.1%
식 9
 
2.8%
Other values (82) 185
57.5%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
0 2
40.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
91.0%
Common 31
 
8.8%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 22
 
6.8%
국 22
 
6.8%
장 19
 
5.9%
칼 12
 
3.7%
면 12
 
3.7%
자 11
 
3.4%
치 10
 
3.1%
정 10
 
3.1%
개 10
 
3.1%
식 9
 
2.8%
Other values (82) 185
57.5%
Common
ValueCountFrequency (%)
20
64.5%
) 3
 
9.7%
( 3
 
9.7%
1 3
 
9.7%
0 2
 
6.5%
Latin
ValueCountFrequency (%)
g 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
91.0%
ASCII 32
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 22
 
6.8%
국 22
 
6.8%
장 19
 
5.9%
칼 12
 
3.7%
면 12
 
3.7%
자 11
 
3.4%
치 10
 
3.1%
정 10
 
3.1%
개 10
 
3.1%
식 9
 
2.8%
Other values (82) 185
57.5%
ASCII
ValueCountFrequency (%)
20
62.5%
) 3
 
9.4%
( 3
 
9.4%
1 3
 
9.4%
0 2
 
6.2%
g 1
 
3.1%

대표메뉴가격
Real number (ℝ)

Distinct22
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8076.8421
Minimum1000
Maximum35000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T19:10:52.045380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile3000
Q15000
median6500
Q38000
95-th percentile25000
Maximum35000
Range34000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation6442.7834
Coefficient of variation (CV)0.79768594
Kurtosis6.6596371
Mean8076.8421
Median Absolute Deviation (MAD)1500
Skewness2.6380938
Sum767300
Variance41509458
MonotonicityNot monotonic
2023-12-12T19:10:52.184900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6000 15
15.8%
7000 13
13.7%
5000 11
11.6%
9000 9
9.5%
8000 7
7.4%
4000 7
7.4%
6500 5
 
5.3%
3000 4
 
4.2%
4500 4
 
4.2%
25000 4
 
4.2%
Other values (12) 16
16.8%
ValueCountFrequency (%)
1000 1
 
1.1%
1200 1
 
1.1%
2000 1
 
1.1%
3000 4
 
4.2%
4000 7
7.4%
4500 4
 
4.2%
5000 11
11.6%
5500 3
 
3.2%
6000 15
15.8%
6500 5
 
5.3%
ValueCountFrequency (%)
35000 1
 
1.1%
32000 1
 
1.1%
30000 1
 
1.1%
25000 4
4.2%
22000 1
 
1.1%
20000 1
 
1.1%
10000 3
 
3.2%
9000 9
9.5%
8000 7
7.4%
7500 1
 
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-07-25
95 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-25
2nd row2023-07-25
3rd row2023-07-25
4th row2023-07-25
5th row2023-07-25

Common Values

ValueCountFrequency (%)
2023-07-25 95
100.0%

Length

2023-12-12T19:10:52.344063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:10:52.451948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-25 95
100.0%

Interactions

2023-12-12T19:10:45.919289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:45.244164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:45.585579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:46.089366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:45.359205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:45.675889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:46.220084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:45.465679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:45.770508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:10:52.523219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호소재지도로명주소소재지지번주소위도경도전화번호대표메뉴대표메뉴가격
업종1.0001.0001.0000.9340.0000.0001.0001.0000.622
상호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소0.9341.0001.0001.0001.0001.0001.0000.9990.000
위도0.0001.0001.0001.0001.0000.6961.0000.0000.000
경도0.0001.0001.0001.0000.6961.0001.0000.5760.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표메뉴1.0001.0001.0000.9990.0000.5761.0001.0000.638
대표메뉴가격0.6221.0001.0000.0000.0000.0001.0000.6381.000
2023-12-12T19:10:52.659254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도대표메뉴가격업종
위도1.000-0.251-0.0510.000
경도-0.2511.0000.0670.000
대표메뉴가격-0.0510.0671.0000.262
업종0.0000.0000.2621.000

Missing values

2023-12-12T19:10:46.395247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:10:46.621113image/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

업종상호소재지도로명주소소재지지번주소위도경도전화번호대표메뉴대표메뉴가격데이터기준일자
0한식365먹골촌대구광역시 달서구 파도고개로30길 2대구광역시 달서구 두류동 88-835.859457128.564993053-622-0222돼지갈비90002023-07-25
1한식시골밥상대구광역시 달서구 야외음악당로47길 112대구광역시 달서구 두류동137-735.85838128.562151053-628-2323칼국수40002023-07-25
2일식돌섬회타운대구광역시 달서구 달구벌대로 1732-4대구광역시 달서구 두류동 488-935.856476128.554808053-622-4589생선초밥70002023-07-25
3한식가야산식당(숯불갈비)대구광역시 달서구 두류공원로50길 17대구광역시 달서구 두류동 141-135.856543128.559824053-624-1348김치찌개50002023-07-25
4한식아름식당대구광역시 달서구 파도고개로 198대구광역시 달서구 두류동 1249-1935.857272128.56572053-622-5556칼국수60002023-07-25
5한식현대식당대구광역시 달서구 대명천로 148대구광역시 달서구 본리동 145-135.840592128.543484053-554-6401칼국수60002023-07-25
6한식김밥매니아대구광역시 달서구 성지로 84대구광역시 달서구 용산동 446-235.856761128.521318053-583-1478된장찌개55002023-07-25
7한식와룡돈까스대구광역시 달서구 선원로14길 21대구광역시 달서구 신당동 1761-1635.858044128.499459053-585-3303돈까스65002023-07-25
8한식박가네돈까스대구광역시 달서구 월성로 77, 나동상가 110호대구광역시 달서구 월성동 86 주공2단지 나동상가 110호35.830042128.528337053-636-1286돈까스80002023-07-25
9한식밥묵고고기묵고대구광역시 달서구 월배로14길 11대구광역시 달서구 진천동 626-2535.812955128.521772070-8196-8188칼국수60002023-07-25
업종상호소재지도로명주소소재지지번주소위도경도전화번호대표메뉴대표메뉴가격데이터기준일자
85세탁업클링클링세탁소대구광역시 달서구 월곡로 145대구광역시 달서구 상인동 1177-135.809652128.546858053-634-7771정장1벌45002023-07-25
86한식행복한해물찜대구광역시 달서구 상화로 213대구광역시 달서구 상인동 1466-735.810218128.537268053-634-6012아구찜320002023-07-25
87한식두류칼국수대구광역시 달서구 당산동길 15대구광역시 달서구 성당동 707-135.84537128.545421053-622-3313잔치국수50002023-07-25
88한식영래칼국수대구광역시 달서구 대명천로 58대구광역시 달서구 성당동 277-1835.838403128.553133053-653-7933칼국수60002023-07-25
89미용업은이헤어샵대구광역시 달서구 성서서로69길 68대구광역시 달서구 신당동 1782-435.85604128.495981053-585-2785커트60002023-07-25
90기타요식업폐이스커피&음료대구광역시 달서구 성서서로69길 66-6, 1층대구광역시 달서구 신당동 178035.856192128.496259053-592-1320아메리카노12002023-07-25
91한식보영이네 시골밥상대구광역시 달서구 성지로14안길 14대구광역시 달서구 용산동 455-535.856136128.5222053-252-6633한정식70002023-07-25
92한식엄마손칼국수대구광역시 달서구 용산로14길 6대구광역시 달서구 장기동 558-435.84282128.531134053-553-8588된장찌개70002023-07-25
93목욕업태흥목욕탕대구광역시 달서구 와룡로 233대구광역시 달서구 죽전동 379-1135.853628128.536908053-559-4300목욕료60002023-07-25
94기타요식업카페체크대구광역시 달서구 와룡로 231대구광역시 달서구 죽전동 379-1635.853339128.537017053-710-4998아메리카노10002023-07-25