Overview

Dataset statistics

Number of variables6
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory54.0 B

Variable types

Numeric3
Text2
Categorical1

Dataset

Description인천광역시 남동구에 위치한 무인카페 현황에 대한 데이터로 연번, 업체명, 소재지, 위경도좌표, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15091348&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:57:44.088479
Analysis finished2024-01-28 14:57:45.170193
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-01-28T23:57:45.227866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-01-28T23:57:45.343559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

업체명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-01-28T23:57:45.549574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.75
Min length2

Characters and Unicode

Total characters429
Distinct characters123
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

Unique44 ?
Unique (%)100.0%

Sample

1st row나우커피 간석LH점
2nd row나우커피 구월수협사거리점
3rd row나우커피 인천만수르점
4th row나우커피(구월사랑점)
5th row나우커피(만수하나점)
ValueCountFrequency (%)
나우커피 3
 
6.2%
카페오나 1
 
2.1%
오그 1
 
2.1%
데이롱카페 1
 
2.1%
데이롱카페(daylongcafe 1
 
2.1%
데이롱카페소래포구점 1
 
2.1%
레햄무인카페 1
 
2.1%
린헤어 1
 
2.1%
무인까페메일빈24인천점 1
 
2.1%
무인카페24시&아이스크림 1
 
2.1%
Other values (36) 36
75.0%
2024-01-28T23:57:45.883559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 31
 
7.2%
피 29
 
6.8%
커 28
 
6.5%
나 25
 
5.8%
우 23
 
5.4%
인 13
 
3.0%
페 13
 
3.0%
카 12
 
2.8%
천 9
 
2.1%
수 9
 
2.1%
Other values (113) 237
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
82.1%
Uppercase Letter 30
 
7.0%
Decimal Number 13
 
3.0%
Lowercase Letter 12
 
2.8%
Open Punctuation 8
 
1.9%
Close Punctuation 8
 
1.9%
Space Separator 4
 
0.9%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 31
 
8.8%
피 29
 
8.2%
커 28
 
8.0%
나 25
 
7.1%
우 23
 
6.5%
인 13
 
3.7%
페 13
 
3.7%
카 12
 
3.4%
천 9
 
2.6%
수 9
 
2.6%
Other values (83) 160
45.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
13.3%
E 4
13.3%
O 3
10.0%
F 3
10.0%
C 3
10.0%
T 2
6.7%
B 2
6.7%
L 2
6.7%
N 2
6.7%
I 1
 
3.3%
Other values (4) 4
13.3%
Lowercase Letter
ValueCountFrequency (%)
f 2
16.7%
e 2
16.7%
c 2
16.7%
o 1
8.3%
u 1
8.3%
n 1
8.3%
i 1
8.3%
b 1
8.3%
a 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 7
53.8%
4 5
38.5%
1 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
82.1%
Latin 42
 
9.8%
Common 35
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 31
 
8.8%
피 29
 
8.2%
커 28
 
8.0%
나 25
 
7.1%
우 23
 
6.5%
인 13
 
3.7%
페 13
 
3.7%
카 12
 
3.4%
천 9
 
2.6%
수 9
 
2.6%
Other values (83) 160
45.5%
Latin
ValueCountFrequency (%)
A 4
 
9.5%
E 4
 
9.5%
O 3
 
7.1%
F 3
 
7.1%
C 3
 
7.1%
T 2
 
4.8%
B 2
 
4.8%
L 2
 
4.8%
N 2
 
4.8%
f 2
 
4.8%
Other values (13) 15
35.7%
Common
ValueCountFrequency (%)
( 8
22.9%
) 8
22.9%
2 7
20.0%
4 5
14.3%
4
11.4%
& 2
 
5.7%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
82.1%
ASCII 77
 
17.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 31
 
8.8%
피 29
 
8.2%
커 28
 
8.0%
나 25
 
7.1%
우 23
 
6.5%
인 13
 
3.7%
페 13
 
3.7%
카 12
 
3.4%
천 9
 
2.6%
수 9
 
2.6%
Other values (83) 160
45.5%
ASCII
ValueCountFrequency (%)
( 8
 
10.4%
) 8
 
10.4%
2 7
 
9.1%
4 5
 
6.5%
A 4
 
5.2%
E 4
 
5.2%
4
 
5.2%
O 3
 
3.9%
F 3
 
3.9%
C 3
 
3.9%
Other values (20) 28
36.4%

소재지
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-01-28T23:57:46.138801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length38.159091
Min length23

Characters and Unicode

Total characters1679
Distinct characters153
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 간석로72번길 45-30, 1층 일부호 (간석동)
2nd row인천광역시 남동구 문화서로 33, 1층 일부호
3rd row인천광역시 남동구 인주대로887번길 59, 1층 일부호(만수동)
4th row인천광역시 남동구 구월말로 14, 1층 일부호(구월동)
5th row인천광역시 남동구 백범로206번길 12, 1층 일부호(만수동)
ValueCountFrequency (%)
인천광역시 44
 
13.3%
남동구 44
 
13.3%
1층 40
 
12.1%
일부호 19
 
5.8%
구월동 8
 
2.4%
만수동 8
 
2.4%
논현동 5
 
1.5%
서창동 4
 
1.2%
107호 3
 
0.9%
논현로 2
 
0.6%
Other values (141) 153
46.4%
2024-01-28T23:57:46.523808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
17.0%
1 103
 
6.1%
동 93
 
5.5%
구 63
 
3.8%
호 57
 
3.4%
남 51
 
3.0%
, 49
 
2.9%
인 48
 
2.9%
시 48
 
2.9%
천 46
 
2.7%
Other values (143) 835
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 988
58.8%
Space Separator 286
 
17.0%
Decimal Number 271
 
16.1%
Other Punctuation 49
 
2.9%
Close Punctuation 36
 
2.1%
Open Punctuation 36
 
2.1%
Lowercase Letter 7
 
0.4%
Uppercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 93
 
9.4%
구 63
 
6.4%
호 57
 
5.8%
남 51
 
5.2%
인 48
 
4.9%
시 48
 
4.9%
천 46
 
4.7%
광 45
 
4.6%
역 45
 
4.6%
로 45
 
4.6%
Other values (118) 447
45.2%
Decimal Number
ValueCountFrequency (%)
1 103
38.0%
0 31
 
11.4%
5 25
 
9.2%
3 20
 
7.4%
2 20
 
7.4%
7 20
 
7.4%
8 18
 
6.6%
6 15
 
5.5%
4 13
 
4.8%
9 6
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
n 1
14.3%
a 1
14.3%
i 1
14.3%
s 1
14.3%
e 1
14.3%
r 1
14.3%
o 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 1
25.0%
F 1
25.0%
Space Separator
ValueCountFrequency (%)
286
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 988
58.8%
Common 680
40.5%
Latin 11
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 93
 
9.4%
구 63
 
6.4%
호 57
 
5.8%
남 51
 
5.2%
인 48
 
4.9%
시 48
 
4.9%
천 46
 
4.7%
광 45
 
4.6%
역 45
 
4.6%
로 45
 
4.6%
Other values (118) 447
45.2%
Common
ValueCountFrequency (%)
286
42.1%
1 103
 
15.1%
, 49
 
7.2%
) 36
 
5.3%
( 36
 
5.3%
0 31
 
4.6%
5 25
 
3.7%
3 20
 
2.9%
2 20
 
2.9%
7 20
 
2.9%
Other values (5) 54
 
7.9%
Latin
ValueCountFrequency (%)
B 2
18.2%
A 1
9.1%
F 1
9.1%
n 1
9.1%
a 1
9.1%
i 1
9.1%
s 1
9.1%
e 1
9.1%
r 1
9.1%
o 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 988
58.8%
ASCII 691
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
41.4%
1 103
 
14.9%
, 49
 
7.1%
) 36
 
5.2%
( 36
 
5.2%
0 31
 
4.5%
5 25
 
3.6%
3 20
 
2.9%
2 20
 
2.9%
7 20
 
2.9%
Other values (15) 65
 
9.4%
Hangul
ValueCountFrequency (%)
동 93
 
9.4%
구 63
 
6.4%
호 57
 
5.8%
남 51
 
5.2%
인 48
 
4.9%
시 48
 
4.9%
천 46
 
4.7%
광 45
 
4.6%
역 45
 
4.6%
로 45
 
4.6%
Other values (118) 447
45.2%

위도
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.44182
Minimum37.397537
Maximum37.469213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-01-28T23:57:46.651649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.397537
5-th percentile37.40086
Q137.431744
median37.446653
Q337.455485
95-th percentile37.466457
Maximum37.469213
Range0.07167644
Interquartile range (IQR)0.023741065

Descriptive statistics

Standard deviation0.020824435
Coefficient of variation (CV)0.00055618117
Kurtosis-0.21561288
Mean37.44182
Median Absolute Deviation (MAD)0.01218013
Skewness-0.89306189
Sum1647.4401
Variance0.0004336571
MonotonicityNot monotonic
2024-01-28T23:57:46.794277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
37.46454669 1
 
2.3%
37.4542342 1
 
2.3%
37.4164483 1
 
2.3%
37.40001701 1
 
2.3%
37.44131441 1
 
2.3%
37.44694406 1
 
2.3%
37.44729974 1
 
2.3%
37.45355979 1
 
2.3%
37.4060566 1
 
2.3%
37.42751162 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
37.39753652 1
2.3%
37.40001701 1
2.3%
37.40061294 1
2.3%
37.40225862 1
2.3%
37.40267158 1
2.3%
37.4060566 1
2.3%
37.40685557 1
2.3%
37.4164483 1
2.3%
37.42751162 1
2.3%
37.43096439 1
2.3%
ValueCountFrequency (%)
37.46921296 1
2.3%
37.46837708 1
2.3%
37.46679422 1
2.3%
37.46454669 1
2.3%
37.4643064 1
2.3%
37.46288027 1
2.3%
37.46263041 1
2.3%
37.4621035 1
2.3%
37.46027776 1
2.3%
37.45894364 1
2.3%

경도
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.72487
Minimum126.688
Maximum126.76038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-01-28T23:57:46.917207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.688
5-th percentile126.69646
Q1126.70945
median126.72778
Q3126.73736
95-th percentile126.75127
Maximum126.76038
Range0.0723783
Interquartile range (IQR)0.027909725

Descriptive statistics

Standard deviation0.017975824
Coefficient of variation (CV)0.00014184922
Kurtosis-0.71667291
Mean126.72487
Median Absolute Deviation (MAD)0.0118924
Skewness-0.15510306
Sum5575.8942
Variance0.00032313024
MonotonicityNot monotonic
2024-01-28T23:57:47.357769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
126.7166571 1
 
2.3%
126.7380025 1
 
2.3%
126.7282545 1
 
2.3%
126.7336482 1
 
2.3%
126.735575 1
 
2.3%
126.6988416 1
 
2.3%
126.7358021 1
 
2.3%
126.7280339 1
 
2.3%
126.7372627 1
 
2.3%
126.7603809 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
126.6880026 1
2.3%
126.6898955 1
2.3%
126.6960402 1
2.3%
126.6988416 1
2.3%
126.7008846 1
2.3%
126.7056682 1
2.3%
126.7058212 1
2.3%
126.7070942 1
2.3%
126.7071893 1
2.3%
126.7083881 1
2.3%
ValueCountFrequency (%)
126.7603809 1
2.3%
126.7562564 1
2.3%
126.7515671 1
2.3%
126.7496178 1
2.3%
126.7477652 1
2.3%
126.7457189 1
2.3%
126.7410077 1
2.3%
126.7393268 1
2.3%
126.7385236 1
2.3%
126.7380025 1
2.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-06-07
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-07
2nd row2023-06-07
3rd row2023-06-07
4th row2023-06-07
5th row2023-06-07

Common Values

ValueCountFrequency (%)
2023-06-07 44
100.0%

Length

2024-01-28T23:57:47.466680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:57:47.548563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-07 44
100.0%

Interactions

2024-01-28T23:57:44.768756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.321601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.542028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.833373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.392729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.607709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.916613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.469300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:57:44.683753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:57:47.610584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지위도경도
연번1.0001.0001.0000.4190.551
업체명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
위도0.4191.0001.0001.0000.333
경도0.5511.0001.0000.3331.000
2024-01-28T23:57:47.690742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.4100.111
위도-0.4101.000-0.299
경도0.111-0.2991.000

Missing values

2024-01-28T23:57:45.017142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:57:45.130629image/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

연번업체명소재지위도경도데이터기준일자
01나우커피 간석LH점인천광역시 남동구 간석로72번길 45-30, 1층 일부호 (간석동)37.464547126.7166572023-06-07
12나우커피 구월수협사거리점인천광역시 남동구 문화서로 33, 1층 일부호37.448175126.696042023-06-07
23나우커피 인천만수르점인천광역시 남동구 인주대로887번길 59, 1층 일부호(만수동)37.450726126.7376662023-06-07
34나우커피(구월사랑점)인천광역시 남동구 구월말로 14, 1층 일부호(구월동)37.45018126.7245762023-06-07
45나우커피(만수하나점)인천광역시 남동구 백범로206번길 12, 1층 일부호(만수동)37.460278126.7268462023-06-07
56나우커피(모래내시장점)인천광역시 남동구 구월남로 274, 1층 일부호 (구월동)37.452068126.720082023-06-07
67나우커피(서창2점)인천광역시 남동구 매소홀로 1108, 서창프라자 1층 102호 일부호 (서창동)37.438161126.7457192023-06-07
78나우커피간석1동점인천광역시 남동구 구월로137번길 40, 1층 105호 일부호37.458723126.7056682023-06-07
89나우커피간석2호점인천광역시 남동구 경원대로 943, 신동아파밀리에아파트상가 1층 108호37.466794126.6898962023-06-07
910나우커피간석교통공사점인천광역시 남동구 풀무로 8, 1층 일부호 (간석동)37.469213126.7091052023-06-07
연번업체명소재지위도경도데이터기준일자
3435캐빈유커피(cabinu coffee)인천광역시 남동구 미래로 42, 1층 105호(구월동)37.453778126.7058212023-06-07
3536캐빈잇카페(CABINEAT)인천광역시 남동구 남동대로799번길 34, B동 217호 일부호 (구월동, 신영구월지웰시티푸르지오)37.454406126.7071892023-06-07
3637커피는셀프인천광역시 남동구 장승로 17, 창대장터상가 3동 1층 108호일부호 (만수동)37.446245126.734952023-06-07
3738커피봇(COFFEEBOT)인천광역시 남동구 남촌동로 27, 1층 일부호37.43189126.7155422023-06-07
3839커피에반하다24인천광역시 남동구 선수촌공원로17번길 1, 구월테크노밸리 A동 1층 107호 (구월동)37.440224126.7096482023-06-07
3940터치카페구월로데오점인천광역시 남동구 예술로 126, 1층 122호 (구월동)37.445128126.7008852023-06-07
4041터치카페인천남동점인천광역시 남동구 남동대로 686, 1층 103호 (구월동)37.443502126.7070942023-06-07
4142티타임커피만수점인천광역시 남동구 만수로 81, 1동 1층37.46263126.7361772023-06-07
4243티타임호구포역점인천광역시 남동구 논현로46번길 51, 유승테라폴리스 1층 106호일부호 (논현동)37.400613126.709572023-06-07
4344화이트카페서창점인천광역시 남동구 장아산로 175, 태평아파트상가 1층 105호 일부호 (서창동)37.435745126.7515672023-06-07