Overview

Dataset statistics

Number of variables6
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory52.3 B

Variable types

Text2
Categorical2
Numeric2

Dataset

Description대구광역시 북구 관내 영업중인 모범음식점 현황에 대한 데이터로 업소명, 소재지도로명주소, 업태명 등의 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15029672/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:56:49.151085
Analysis finished2023-12-12 17:56:50.218202
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T02:56:50.536355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.5964912
Min length2

Characters and Unicode

Total characters376
Distinct characters163
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

Unique57 ?
Unique (%)100.0%

Sample

1st row(맥)참숯불한우갈비살돼지항정살
2nd row24시교동촌콩나물해장국밥
3rd row3바다낙지해물
4th row감포생밀복
5th row강북오리박사
ValueCountFrequency (%)
맥)참숯불한우갈비살돼지항정살 1
 
1.7%
24시교동촌콩나물해장국밥 1
 
1.7%
연화정 1
 
1.7%
옛살나비추어탕 1
 
1.7%
오늘잡은소 1
 
1.7%
왕추 1
 
1.7%
우돈생고기 1
 
1.7%
우뚝해장국 1
 
1.7%
우야지막창 1
 
1.7%
원할머니보쌈대구침산점 1
 
1.7%
Other values (50) 50
83.3%
2023-12-13T02:56:50.983780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 14
 
3.7%
해 10
 
2.7%
구 9
 
2.4%
산 7
 
1.9%
지 7
 
1.9%
원 6
 
1.6%
가 6
 
1.6%
기 6
 
1.6%
장 6
 
1.6%
대 6
 
1.6%
Other values (153) 299
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
96.5%
Decimal Number 5
 
1.3%
Space Separator 3
 
0.8%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 14
 
3.9%
해 10
 
2.8%
구 9
 
2.5%
산 7
 
1.9%
지 7
 
1.9%
원 6
 
1.7%
가 6
 
1.7%
기 6
 
1.7%
장 6
 
1.7%
대 6
 
1.7%
Other values (146) 286
78.8%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
4 1
 
20.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
96.5%
Common 13
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 14
 
3.9%
해 10
 
2.8%
구 9
 
2.5%
산 7
 
1.9%
지 7
 
1.9%
원 6
 
1.7%
가 6
 
1.7%
기 6
 
1.7%
장 6
 
1.7%
대 6
 
1.7%
Other values (146) 286
78.8%
Common
ValueCountFrequency (%)
3
23.1%
3 3
23.1%
( 2
15.4%
) 2
15.4%
4 1
 
7.7%
2 1
 
7.7%
, 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
96.5%
ASCII 13
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 14
 
3.9%
해 10
 
2.8%
구 9
 
2.5%
산 7
 
1.9%
지 7
 
1.9%
원 6
 
1.7%
가 6
 
1.7%
기 6
 
1.7%
장 6
 
1.7%
대 6
 
1.7%
Other values (146) 286
78.8%
ASCII
ValueCountFrequency (%)
3
23.1%
3 3
23.1%
( 2
15.4%
) 2
15.4%
4 1
 
7.7%
2 1
 
7.7%
, 1
 
7.7%

소재지도로명주소
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T02:56:51.286251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32
Mean length26.894737
Min length21

Characters and Unicode

Total characters1533
Distinct characters80
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

Unique57 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 유통단지로8길 70, 3층 (산격동)
2nd row대구광역시 북구 태전로 55 (태전동)
3rd row대구광역시 북구 구암로60길 58 (구암동)
4th row대구광역시 북구 침산남로7길 2-1 (노원동1가,2층3층)
5th row대구광역시 북구 구암로60길 66 (구암동)
ValueCountFrequency (%)
대구광역시 57
 
18.3%
북구 57
 
18.3%
산격동 14
 
4.5%
유통단지로8길 10
 
3.2%
1층 7
 
2.2%
구암동 6
 
1.9%
칠곡중앙대로 6
 
1.9%
2층 4
 
1.3%
태전동 3
 
1.0%
66 3
 
1.0%
Other values (112) 145
46.5%
2023-12-13T02:56:51.738448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
16.6%
구 127
 
8.3%
대 73
 
4.8%
동 73
 
4.8%
북 59
 
3.8%
( 58
 
3.8%
) 58
 
3.8%
광 57
 
3.7%
역 57
 
3.7%
시 57
 
3.7%
Other values (70) 659
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 872
56.9%
Space Separator 255
 
16.6%
Decimal Number 244
 
15.9%
Open Punctuation 58
 
3.8%
Close Punctuation 58
 
3.8%
Other Punctuation 27
 
1.8%
Dash Punctuation 17
 
1.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 127
14.6%
대 73
 
8.4%
동 73
 
8.4%
북 59
 
6.8%
광 57
 
6.5%
역 57
 
6.5%
시 57
 
6.5%
로 54
 
6.2%
길 30
 
3.4%
산 23
 
2.6%
Other values (53) 262
30.0%
Decimal Number
ValueCountFrequency (%)
1 49
20.1%
2 48
19.7%
3 27
11.1%
8 23
9.4%
0 23
9.4%
6 20
8.2%
5 17
 
7.0%
4 16
 
6.6%
9 13
 
5.3%
7 8
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 872
56.9%
Common 659
43.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 127
14.6%
대 73
 
8.4%
동 73
 
8.4%
북 59
 
6.8%
광 57
 
6.5%
역 57
 
6.5%
시 57
 
6.5%
로 54
 
6.2%
길 30
 
3.4%
산 23
 
2.6%
Other values (53) 262
30.0%
Common
ValueCountFrequency (%)
255
38.7%
( 58
 
8.8%
) 58
 
8.8%
1 49
 
7.4%
2 48
 
7.3%
, 27
 
4.1%
3 27
 
4.1%
8 23
 
3.5%
0 23
 
3.5%
6 20
 
3.0%
Other values (5) 71
 
10.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 872
56.9%
ASCII 661
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
38.6%
( 58
 
8.8%
) 58
 
8.8%
1 49
 
7.4%
2 48
 
7.3%
, 27
 
4.1%
3 27
 
4.1%
8 23
 
3.5%
0 23
 
3.5%
6 20
 
3.0%
Other values (7) 73
 
11.0%
Hangul
ValueCountFrequency (%)
구 127
14.6%
대 73
 
8.4%
동 73
 
8.4%
북 59
 
6.8%
광 57
 
6.5%
역 57
 
6.5%
시 57
 
6.5%
로 54
 
6.2%
길 30
 
3.4%
산 23
 
2.6%
Other values (53) 262
30.0%

업태명
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
한식
32 
식육(숯불구이)
16 
복어취급
4 
일식
 
3
중국식
 
2

Length

Max length8
Median length2
Mean length3.8596491
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육(숯불구이)
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 32
56.1%
식육(숯불구이) 16
28.1%
복어취급 4
 
7.0%
일식 3
 
5.3%
중국식 2
 
3.5%

Length

2023-12-13T02:56:51.879923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:56:51.986131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 32
56.1%
식육(숯불구이 16
28.1%
복어취급 4
 
7.0%
일식 3
 
5.3%
중국식 2
 
3.5%

위도
Real number (ℝ)

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58347
Minimum128.50987
Maximum128.61803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T02:56:52.106995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.50987
5-th percentile128.54648
Q1128.56525
median128.58607
Q3128.60854
95-th percentile128.61312
Maximum128.61803
Range0.1081633
Interquartile range (IQR)0.0432953

Descriptive statistics

Standard deviation0.025144229
Coefficient of variation (CV)0.00019554791
Kurtosis-0.41628233
Mean128.58347
Median Absolute Deviation (MAD)0.0215184
Skewness-0.50273349
Sum7329.258
Variance0.00063223228
MonotonicityNot monotonic
2023-12-13T02:56:52.256216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.610469 2
 
3.5%
128.612381 1
 
1.8%
128.5463635 1
 
1.8%
128.550395 1
 
1.8%
128.5746985 1
 
1.8%
128.6032328 1
 
1.8%
128.6180341 1
 
1.8%
128.6088092 1
 
1.8%
128.5903017 1
 
1.8%
128.5826229 1
 
1.8%
Other values (46) 46
80.7%
ValueCountFrequency (%)
128.5098708 1
1.8%
128.5433543 1
1.8%
128.5463635 1
1.8%
128.5465138 1
1.8%
128.5472721 1
1.8%
128.5491387 1
1.8%
128.550395 1
1.8%
128.5533296 1
1.8%
128.5536669 1
1.8%
128.5549863 1
1.8%
ValueCountFrequency (%)
128.6180341 1
1.8%
128.6166161 1
1.8%
128.6160931 1
1.8%
128.612381 1
1.8%
128.6122247 1
1.8%
128.6117232 1
1.8%
128.6116246 1
1.8%
128.610469 2
3.5%
128.609529 1
1.8%
128.6092079 1
1.8%

경도
Real number (ℝ)

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.914069
Minimum35.882337
Maximum35.953094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T02:56:52.682275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.882337
5-th percentile35.883919
Q135.891719
median35.904817
Q335.938844
95-th percentile35.949059
Maximum35.953094
Range0.07075681
Interquartile range (IQR)0.04712524

Descriptive statistics

Standard deviation0.02321513
Coefficient of variation (CV)0.00064640768
Kurtosis-1.4619569
Mean35.914069
Median Absolute Deviation (MAD)0.01801315
Skewness0.23810845
Sum2047.1019
Variance0.00053894226
MonotonicityNot monotonic
2023-12-13T02:56:52.825648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.90437193 2
 
3.5%
35.90520941 1
 
1.8%
35.91962531 1
 
1.8%
35.94647507 1
 
1.8%
35.94891159 1
 
1.8%
35.8880767 1
 
1.8%
35.88995714 1
 
1.8%
35.90462373 1
 
1.8%
35.88291344 1
 
1.8%
35.8884671 1
 
1.8%
Other values (46) 46
80.7%
ValueCountFrequency (%)
35.88233683 1
1.8%
35.88291344 1
1.8%
35.88382225 1
1.8%
35.8839437 1
1.8%
35.88562515 1
1.8%
35.88577364 1
1.8%
35.88631824 1
1.8%
35.8880767 1
1.8%
35.88808337 1
1.8%
35.88840038 1
1.8%
ValueCountFrequency (%)
35.95309364 1
1.8%
35.95135255 1
1.8%
35.94965059 1
1.8%
35.94891159 1
1.8%
35.9478701 1
1.8%
35.94647507 1
1.8%
35.94365079 1
1.8%
35.94326358 1
1.8%
35.94286797 1
1.8%
35.9422226 1
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-09-07
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-07
2nd row2023-09-07
3rd row2023-09-07
4th row2023-09-07
5th row2023-09-07

Common Values

ValueCountFrequency (%)
2023-09-07 57
100.0%

Length

2023-12-13T02:56:52.959352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:56:53.041996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-07 57
100.0%

Interactions

2023-12-13T02:56:49.776178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:56:49.527398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:56:49.892036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:56:49.656251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:56:53.097698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소업태명위도경도
업소명1.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
업태명1.0001.0001.0000.0000.000
위도1.0001.0000.0001.0000.800
경도1.0001.0000.0000.8001.000
2023-12-13T02:56:53.200814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태명
위도1.000-0.4750.000
경도-0.4751.0000.000
업태명0.0000.0001.000

Missing values

2023-12-13T02:56:50.047341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:56:50.166045image/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

업소명소재지도로명주소업태명위도경도데이터기준일자
0(맥)참숯불한우갈비살돼지항정살대구광역시 북구 유통단지로8길 70, 3층 (산격동)식육(숯불구이)128.61238135.9052092023-09-07
124시교동촌콩나물해장국밥대구광역시 북구 태전로 55 (태전동)한식128.54335435.9251642023-09-07
23바다낙지해물대구광역시 북구 구암로60길 58 (구암동)한식128.56958735.9394632023-09-07
3감포생밀복대구광역시 북구 침산남로7길 2-1 (노원동1가,2층3층)한식128.57980435.8891752023-09-07
4강북오리박사대구광역시 북구 구암로60길 66 (구암동)한식128.57035735.9401272023-09-07
5고기한마당대구광역시 북구 대현로9길 52 (산격동)식육(숯불구이)128.6033935.88842023-09-07
6기와집보쌈대구광역시 북구 대천로7길 6-10 (읍내동, A동 1,2층 B동 1층)한식128.5533335.9381512023-09-07
7남다른감자탕대구산격점대구광역시 북구 동북로 149-2 (산격동)한식128.60952935.9002582023-09-07
8남도뚝배기대구광역시 북구 성북로 47, 1층 (침산동)한식128.58859535.8917192023-09-07
9내고향식당대구광역시 북구 동변로18길 43 (동변동)한식128.60630235.9186792023-09-07
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