Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells10
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.3 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구의 무인카페 현황에 대한 데이터입니다. 시설명, 도로명주소, 전화번호, 위도, 경도 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15087014/fileData.do

Alerts

전화번호 has 10 (40.0%) missing valuesMissing
연번 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:44:30.419104
Analysis finished2023-12-12 03:44:31.078769
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T12:44:31.162144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T12:44:31.333270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

상호명
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:44:31.601972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length11.6
Min length2

Characters and Unicode

Total characters290
Distinct characters87
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

Unique23 ?
Unique (%)92.0%

Sample

1st row나우커피 인천주안점
2nd row24시무인셀프카페
3rd row봄날
4th row커피에반하다 인천더월드스테이트점 스마트 무인카페
5th row카페트룬
ValueCountFrequency (%)
무인카페 6
 
11.1%
나우커피 4
 
7.4%
24시무인셀프카페 2
 
3.7%
커피에반하다 2
 
3.7%
스마트 2
 
3.7%
데이롱카페 2
 
3.7%
인천터미널점 1
 
1.9%
라커룸 1
 
1.9%
도화점 1
 
1.9%
픽미픽미 1
 
1.9%
Other values (32) 32
59.3%
2023-12-12T12:44:32.079479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
10.0%
인 22
 
7.6%
카 17
 
5.9%
페 17
 
5.9%
점 15
 
5.2%
무 13
 
4.5%
커 10
 
3.4%
이 9
 
3.1%
피 9
 
3.1%
2 7
 
2.4%
Other values (77) 142
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
83.4%
Space Separator 29
 
10.0%
Decimal Number 17
 
5.9%
Other Punctuation 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 22
 
9.1%
카 17
 
7.0%
페 17
 
7.0%
점 15
 
6.2%
무 13
 
5.4%
커 10
 
4.1%
이 9
 
3.7%
피 9
 
3.7%
천 7
 
2.9%
스 6
 
2.5%
Other values (69) 117
48.3%
Decimal Number
ValueCountFrequency (%)
2 7
41.2%
4 7
41.2%
3 1
 
5.9%
6 1
 
5.9%
5 1
 
5.9%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
83.4%
Common 47
 
16.2%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 22
 
9.1%
카 17
 
7.0%
페 17
 
7.0%
점 15
 
6.2%
무 13
 
5.4%
커 10
 
4.1%
이 9
 
3.7%
피 9
 
3.7%
천 7
 
2.9%
스 6
 
2.5%
Other values (69) 117
48.3%
Common
ValueCountFrequency (%)
29
61.7%
2 7
 
14.9%
4 7
 
14.9%
& 1
 
2.1%
3 1
 
2.1%
6 1
 
2.1%
5 1
 
2.1%
Latin
ValueCountFrequency (%)
R 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
83.4%
ASCII 48
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
60.4%
2 7
 
14.6%
4 7
 
14.6%
& 1
 
2.1%
R 1
 
2.1%
3 1
 
2.1%
6 1
 
2.1%
5 1
 
2.1%
Hangul
ValueCountFrequency (%)
인 22
 
9.1%
카 17
 
7.0%
페 17
 
7.0%
점 15
 
6.2%
무 13
 
5.4%
커 10
 
4.1%
이 9
 
3.7%
피 9
 
3.7%
천 7
 
2.9%
스 6
 
2.5%
Other values (69) 117
48.3%

지번주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:44:32.373610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length27
Mean length26.84
Min length19

Characters and Unicode

Total characters671
Distinct characters69
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

Unique25 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 주안동 22-4 나우커피
2nd row인천광역시 미추홀구 용현동 94-3 1층
3rd row인천광역시 미추홀구 주안동 694-1 1층
4th row인천광역시 미추홀구 주안동 939-1
5th row인천광역시 미추홀구 도화동 95-1
ValueCountFrequency (%)
인천광역시 25
18.2%
미추홀구 25
18.2%
주안동 11
 
8.0%
1층 11
 
8.0%
용현동 3
 
2.2%
관교동 3
 
2.2%
학익동 3
 
2.2%
4호 2
 
1.5%
102호 2
 
1.5%
숭의동 2
 
1.5%
Other values (47) 50
36.5%
2023-12-12T12:44:32.814073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.7%
1 48
 
7.2%
동 28
 
4.2%
인 28
 
4.2%
시 27
 
4.0%
미 26
 
3.9%
역 25
 
3.7%
추 25
 
3.7%
홀 25
 
3.7%
천 25
 
3.7%
Other values (59) 302
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
57.2%
Decimal Number 147
 
21.9%
Space Separator 112
 
16.7%
Dash Punctuation 23
 
3.4%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
7.3%
인 28
 
7.3%
시 27
 
7.0%
미 26
 
6.8%
역 25
 
6.5%
추 25
 
6.5%
홀 25
 
6.5%
천 25
 
6.5%
광 25
 
6.5%
구 25
 
6.5%
Other values (43) 125
32.6%
Decimal Number
ValueCountFrequency (%)
1 48
32.7%
3 18
 
12.2%
4 16
 
10.9%
2 15
 
10.2%
0 11
 
7.5%
7 10
 
6.8%
9 10
 
6.8%
8 8
 
5.4%
5 6
 
4.1%
6 5
 
3.4%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
57.2%
Common 286
42.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
7.3%
인 28
 
7.3%
시 27
 
7.0%
미 26
 
6.8%
역 25
 
6.5%
추 25
 
6.5%
홀 25
 
6.5%
천 25
 
6.5%
광 25
 
6.5%
구 25
 
6.5%
Other values (43) 125
32.6%
Common
ValueCountFrequency (%)
112
39.2%
1 48
16.8%
- 23
 
8.0%
3 18
 
6.3%
4 16
 
5.6%
2 15
 
5.2%
0 11
 
3.8%
7 10
 
3.5%
9 10
 
3.5%
8 8
 
2.8%
Other values (5) 15
 
5.2%
Latin
ValueCountFrequency (%)
R 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
57.2%
ASCII 287
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
39.0%
1 48
16.7%
- 23
 
8.0%
3 18
 
6.3%
4 16
 
5.6%
2 15
 
5.2%
0 11
 
3.8%
7 10
 
3.5%
9 10
 
3.5%
8 8
 
2.8%
Other values (6) 16
 
5.6%
Hangul
ValueCountFrequency (%)
동 28
 
7.3%
인 28
 
7.3%
시 27
 
7.0%
미 26
 
6.8%
역 25
 
6.5%
추 25
 
6.5%
홀 25
 
6.5%
천 25
 
6.5%
광 25
 
6.5%
구 25
 
6.5%
Other values (43) 125
32.6%

도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T12:44:33.132200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length32
Mean length26.52
Min length18

Characters and Unicode

Total characters663
Distinct characters84
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

Unique25 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 염창로 87 나우커피
2nd row인천광역시 미추홀구 인하로119번길 21 1층
3rd row인천광역시 미추홀구 한나루로 537 1층
4th row인천광역시 미추홀구 경원대로864번길 14
5th row인천광역시 미추홀구 석정로 242
ValueCountFrequency (%)
인천광역시 25
18.1%
미추홀구 25
18.1%
1층 11
 
8.0%
주승로 3
 
2.2%
4호 2
 
1.4%
102호 2
 
1.4%
54 2
 
1.4%
3호 2
 
1.4%
2
 
1.4%
독배로 2
 
1.4%
Other values (62) 62
44.9%
2023-12-12T12:44:33.644617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
17.0%
1 34
 
5.1%
인 33
 
5.0%
시 27
 
4.1%
미 26
 
3.9%
홀 26
 
3.9%
광 25
 
3.8%
역 25
 
3.8%
추 25
 
3.8%
구 25
 
3.8%
Other values (74) 304
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
62.3%
Decimal Number 128
 
19.3%
Space Separator 113
 
17.0%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Dash Punctuation 2
 
0.3%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 33
 
8.0%
시 27
 
6.5%
미 26
 
6.3%
홀 26
 
6.3%
광 25
 
6.1%
역 25
 
6.1%
추 25
 
6.1%
구 25
 
6.1%
천 25
 
6.1%
로 22
 
5.3%
Other values (58) 154
37.3%
Decimal Number
ValueCountFrequency (%)
1 34
26.6%
4 18
14.1%
2 18
14.1%
3 14
10.9%
5 12
 
9.4%
0 8
 
6.2%
7 7
 
5.5%
8 7
 
5.5%
9 5
 
3.9%
6 5
 
3.9%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
62.3%
Common 249
37.6%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 33
 
8.0%
시 27
 
6.5%
미 26
 
6.3%
홀 26
 
6.3%
광 25
 
6.1%
역 25
 
6.1%
추 25
 
6.1%
구 25
 
6.1%
천 25
 
6.1%
로 22
 
5.3%
Other values (58) 154
37.3%
Common
ValueCountFrequency (%)
113
45.4%
1 34
 
13.7%
4 18
 
7.2%
2 18
 
7.2%
3 14
 
5.6%
5 12
 
4.8%
0 8
 
3.2%
7 7
 
2.8%
8 7
 
2.8%
9 5
 
2.0%
Other values (5) 13
 
5.2%
Latin
ValueCountFrequency (%)
R 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
62.3%
ASCII 250
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
45.2%
1 34
 
13.6%
4 18
 
7.2%
2 18
 
7.2%
3 14
 
5.6%
5 12
 
4.8%
0 8
 
3.2%
7 7
 
2.8%
8 7
 
2.8%
9 5
 
2.0%
Other values (6) 14
 
5.6%
Hangul
ValueCountFrequency (%)
인 33
 
8.0%
시 27
 
6.5%
미 26
 
6.3%
홀 26
 
6.3%
광 25
 
6.1%
역 25
 
6.1%
추 25
 
6.1%
구 25
 
6.1%
천 25
 
6.1%
로 22
 
5.3%
Other values (58) 154
37.3%

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing10
Missing (%)40.0%
Memory size332.0 B
2023-12-12T12:44:33.898206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.666667
Min length9

Characters and Unicode

Total characters205
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

Unique15 ?
Unique (%)100.0%

Sample

1st row0507-1466-6203
2nd row0507-1379-7262
3rd row0507-1387-2103
4th row1533-1358
5th row0507-1490-0422
ValueCountFrequency (%)
0507-1466-6203 1
 
6.7%
0507-1379-7262 1
 
6.7%
0507-1387-2103 1
 
6.7%
1533-1358 1
 
6.7%
0507-1490-0422 1
 
6.7%
0507-1468-1108 1
 
6.7%
0507-1348-2956 1
 
6.7%
0507-1362-6808 1
 
6.7%
0507-1331-5453 1
 
6.7%
0507-1489-4951 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T12:44:34.320218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 36
17.6%
- 29
14.1%
5 26
12.7%
1 23
11.2%
7 21
10.2%
3 18
8.8%
4 13
 
6.3%
2 12
 
5.9%
6 11
 
5.4%
8 11
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 176
85.9%
Dash Punctuation 29
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
20.5%
5 26
14.8%
1 23
13.1%
7 21
11.9%
3 18
10.2%
4 13
 
7.4%
2 12
 
6.8%
6 11
 
6.2%
8 11
 
6.2%
9 5
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36
17.6%
- 29
14.1%
5 26
12.7%
1 23
11.2%
7 21
10.2%
3 18
8.8%
4 13
 
6.3%
2 12
 
5.9%
6 11
 
5.4%
8 11
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 36
17.6%
- 29
14.1%
5 26
12.7%
1 23
11.2%
7 21
10.2%
3 18
8.8%
4 13
 
6.3%
2 12
 
5.9%
6 11
 
5.4%
8 11
 
5.4%

Interactions

2023-12-12T12:44:30.720358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:44:34.438683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0000.9431.0001.0001.000
상호명0.9431.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T12:44:30.885541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:44:31.028646image/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

연번상호명지번주소도로명주소전화번호
01나우커피 인천주안점인천광역시 미추홀구 주안동 22-4 나우커피인천광역시 미추홀구 염창로 87 나우커피0507-1466-6203
1224시무인셀프카페인천광역시 미추홀구 용현동 94-3 1층인천광역시 미추홀구 인하로119번길 21 1층<NA>
23봄날인천광역시 미추홀구 주안동 694-1 1층인천광역시 미추홀구 한나루로 537 1층0507-1379-7262
34커피에반하다 인천더월드스테이트점 스마트 무인카페인천광역시 미추홀구 주안동 939-1인천광역시 미추홀구 경원대로864번길 14<NA>
45카페트룬인천광역시 미추홀구 도화동 95-1인천광역시 미추홀구 석정로 242<NA>
56무인카페 메일빈24 성산교회점인천광역시 미추홀구 주안동 19-138 삼미빌딩 1층 4호인천광역시 미추홀구 석정로461번길 7 삼미빌딩 1층 4호<NA>
6724시무인셀프카페인천광역시 미추홀구 학익동 437-32인천광역시 미추홀구 소성로 125<NA>
78데이롱 카페 학익힐스테이트점인천광역시 미추홀구 학익동 744-1 . 힐스테이트학익 제상가동 제1층 102호(학익동)인천광역시 미추홀구 독배로251번길 24 . 힐스테이트학익 제상가동 제1층 102호(학익동)0507-1387-2103
89R카페 무인24인천광역시 미추홀구 주안동 18-68 R카페 무인24시인천광역시 미추홀구 석정로433번길 43-6 R카페 무인24시1533-1358
910데이롱카페 인천관교점인천광역시 미추홀구 관교동 515-8 1층 3호인천광역시 미추홀구 주승로 151 1층 3호0507-1490-0422
연번상호명지번주소도로명주소전화번호
1516라면앤커피 무인카페 라커룸 도화점인천광역시 미추홀구 도화동 487-3 1층인천광역시 미추홀구 경인북길 475 1층0507-1489-4951
1617픽미픽미 아이스 학익풍림아이원점인천광역시 미추홀구 학익동 721 학익풍림아이원아파트 중심상가113호인천광역시 미추홀구 매소홀로 338 학익풍림아이원아파트 중심상가113호<NA>
1718커피에반하다 인천인주대로점 스마트 무인카페인천광역시 미추홀구 주안동 1483-5인천광역시 미추홀구 인주대로 417<NA>
1819데이롱카페 인천터미널점인천광역시 미추홀구 관교동 13-10 상가 1층 04호인천광역시 미추홀구 문화로 23 상가 1층 04호0507-1382-5842
1920아이스무빙인천광역시 미추홀구 주안동 1617인천광역시 미추홀구 주안로 226<NA>
2021카페온24시무인문학점인천광역시 미추홀구 문학동 389-5 1층 카페온24시무인인천광역시 미추홀구 소성로350번길 17 1층 카페온24시무인0507-1478-5553
2122셀프 빨래방 드림워시24 & 무인카페인천광역시 미추홀구 관교동 476-1 . 102호인천광역시 미추홀구 주승로 188 . 102호0507-1307-3627
2223무인카페 제이앤솜인천광역시 미추홀구 주안동 1281-17 상가1동 101호 무인카페 제이앤솜인천광역시 미추홀구 주승로 85-9 상가1동 101호 무인카페 제이앤솜0507-1346-4671
2324나우커피 인하대점인천광역시 미추홀구 용현동 172-19 103호인천광역시 미추홀구 경인남길102번길 5 103호0507-1401-5325
2425나우커피 석암초점인천광역시 미추홀구 주안동 102-2 102호인천광역시 미추홀구 주안동로25번길 54 102호 (주안동)<NA>