Overview

Dataset statistics

Number of variables5
Number of observations76
Missing cells26
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory42.7 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구 복권판매점 현황에 대한 데이터입니다.상호명, 도로명주소, 전화번호, 위도, 경도 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087025&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 26 (34.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:46:10.244825
Analysis finished2024-03-18 04:46:12.456312
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-03-18T13:46:12.608917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-03-18T13:46:12.886313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

상호명
Text

Distinct64
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-03-18T13:46:13.129030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length5.8684211
Min length1

Characters and Unicode

Total characters446
Distinct characters135
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

Unique56 ?
Unique (%)73.7%

Sample

1st row노다지복권방
2nd rowsk복권방
3rd row로또판매점
4th row대박스타복권판매점
5th row나눔로또판매점
ValueCountFrequency (%)
행운복권 4
 
4.5%
cu 4
 
4.5%
로또명당 3
 
3.4%
나눔로또판매점 3
 
3.4%
복권나라 2
 
2.3%
똥돼지복권방 2
 
2.3%
로또복권방 2
 
2.3%
드림복권 2
 
2.3%
로또판매점 2
 
2.3%
세븐일레븐 2
 
2.3%
Other values (62) 62
70.5%
2024-03-18T13:46:13.436239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 40
 
9.0%
권 38
 
8.5%
로 22
 
4.9%
또 20
 
4.5%
점 19
 
4.3%
방 15
 
3.4%
12
 
2.7%
대 11
 
2.5%
매 10
 
2.2%
판 9
 
2.0%
Other values (125) 250
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
93.5%
Space Separator 12
 
2.7%
Uppercase Letter 10
 
2.2%
Other Punctuation 3
 
0.7%
Decimal Number 2
 
0.4%
Lowercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 40
 
9.6%
권 38
 
9.1%
로 22
 
5.3%
또 20
 
4.8%
점 19
 
4.6%
방 15
 
3.6%
대 11
 
2.6%
매 10
 
2.4%
판 9
 
2.2%
박 7
 
1.7%
Other values (115) 226
54.2%
Uppercase Letter
ValueCountFrequency (%)
U 4
40.0%
C 4
40.0%
J 1
 
10.0%
B 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
93.5%
Common 17
 
3.8%
Latin 12
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 40
 
9.6%
권 38
 
9.1%
로 22
 
5.3%
또 20
 
4.8%
점 19
 
4.6%
방 15
 
3.6%
대 11
 
2.6%
매 10
 
2.4%
판 9
 
2.2%
박 7
 
1.7%
Other values (115) 226
54.2%
Latin
ValueCountFrequency (%)
U 4
33.3%
C 4
33.3%
J 1
 
8.3%
B 1
 
8.3%
k 1
 
8.3%
s 1
 
8.3%
Common
ValueCountFrequency (%)
12
70.6%
& 3
 
17.6%
4 1
 
5.9%
2 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
93.5%
ASCII 29
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 40
 
9.6%
권 38
 
9.1%
로 22
 
5.3%
또 20
 
4.8%
점 19
 
4.6%
방 15
 
3.6%
대 11
 
2.6%
매 10
 
2.4%
판 9
 
2.2%
박 7
 
1.7%
Other values (115) 226
54.2%
ASCII
ValueCountFrequency (%)
12
41.4%
U 4
 
13.8%
C 4
 
13.8%
& 3
 
10.3%
J 1
 
3.4%
B 1
 
3.4%
4 1
 
3.4%
2 1
 
3.4%
k 1
 
3.4%
s 1
 
3.4%

지번주소
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-03-18T13:46:13.656550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length23.513158
Min length18

Characters and Unicode

Total characters1787
Distinct characters83
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

Unique74 ?
Unique (%)97.4%

Sample

1st row인천광역시 미추홀구 학익동 264-6 125호
2nd row인천광역시 미추홀구 용현동 664 SK뷰상가 A-2동104호
3rd row인천광역시 미추홀구 주안동 227-34
4th row인천광역시 미추홀구 주안동 505-8
5th row인천광역시 미추홀구 주안동 165-5
ValueCountFrequency (%)
인천광역시 76
21.5%
미추홀구 76
21.5%
주안동 29
 
8.2%
1층 20
 
5.7%
용현동 17
 
4.8%
도화동 10
 
2.8%
숭의동 10
 
2.8%
학익동 6
 
1.7%
105호 3
 
0.8%
문학동 3
 
0.8%
Other values (98) 103
29.2%
2024-03-18T13:46:13.990930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
15.7%
1 106
 
5.9%
동 80
 
4.5%
역 78
 
4.4%
인 76
 
4.3%
- 76
 
4.3%
광 76
 
4.3%
시 76
 
4.3%
미 76
 
4.3%
추 76
 
4.3%
Other values (73) 786
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1014
56.7%
Decimal Number 409
22.9%
Space Separator 281
 
15.7%
Dash Punctuation 76
 
4.3%
Uppercase Letter 4
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
 
7.9%
역 78
 
7.7%
인 76
 
7.5%
광 76
 
7.5%
시 76
 
7.5%
미 76
 
7.5%
추 76
 
7.5%
홀 76
 
7.5%
구 76
 
7.5%
천 76
 
7.5%
Other values (54) 248
24.5%
Decimal Number
ValueCountFrequency (%)
1 106
25.9%
2 52
12.7%
4 48
11.7%
3 41
 
10.0%
5 39
 
9.5%
6 30
 
7.3%
8 29
 
7.1%
0 26
 
6.4%
7 22
 
5.4%
9 16
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
S 1
25.0%
K 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1014
56.7%
Common 769
43.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
 
7.9%
역 78
 
7.7%
인 76
 
7.5%
광 76
 
7.5%
시 76
 
7.5%
미 76
 
7.5%
추 76
 
7.5%
홀 76
 
7.5%
구 76
 
7.5%
천 76
 
7.5%
Other values (54) 248
24.5%
Common
ValueCountFrequency (%)
281
36.5%
1 106
 
13.8%
- 76
 
9.9%
2 52
 
6.8%
4 48
 
6.2%
3 41
 
5.3%
5 39
 
5.1%
6 30
 
3.9%
8 29
 
3.8%
0 26
 
3.4%
Other values (5) 41
 
5.3%
Latin
ValueCountFrequency (%)
B 1
25.0%
S 1
25.0%
K 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1014
56.7%
ASCII 773
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
36.4%
1 106
 
13.7%
- 76
 
9.8%
2 52
 
6.7%
4 48
 
6.2%
3 41
 
5.3%
5 39
 
5.0%
6 30
 
3.9%
8 29
 
3.8%
0 26
 
3.4%
Other values (9) 45
 
5.8%
Hangul
ValueCountFrequency (%)
동 80
 
7.9%
역 78
 
7.7%
인 76
 
7.5%
광 76
 
7.5%
시 76
 
7.5%
미 76
 
7.5%
추 76
 
7.5%
홀 76
 
7.5%
구 76
 
7.5%
천 76
 
7.5%
Other values (54) 248
24.5%

도로명주소
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-03-18T13:46:14.280489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length22.197368
Min length16

Characters and Unicode

Total characters1687
Distinct characters121
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

Unique74 ?
Unique (%)97.4%

Sample

1st row인천광역시 미추홀구 한나루로 400 125호
2nd row인천광역시 미추홀구 용정공원로 33 SK뷰상가 A-2동104호
3rd row인천광역시 미추홀구 미추홀대로 735
4th row인천광역시 미추홀구 경인로 348
5th row인천광역시 미추홀구 석바위로 73
ValueCountFrequency (%)
인천광역시 76
21.1%
미추홀구 76
21.1%
1층 19
 
5.3%
경인로 9
 
2.5%
인하로 6
 
1.7%
미추홀대로 5
 
1.4%
한나루로 5
 
1.4%
4 4
 
1.1%
소성로 4
 
1.1%
매소홀로 4
 
1.1%
Other values (128) 153
42.4%
2024-03-18T13:46:14.655220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
16.9%
인 98
 
5.8%
홀 85
 
5.0%
추 81
 
4.8%
미 81
 
4.8%
천 79
 
4.7%
구 77
 
4.6%
역 77
 
4.6%
시 76
 
4.5%
광 76
 
4.5%
Other values (111) 672
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1091
64.7%
Decimal Number 286
 
17.0%
Space Separator 285
 
16.9%
Dash Punctuation 15
 
0.9%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 98
 
9.0%
홀 85
 
7.8%
추 81
 
7.4%
미 81
 
7.4%
천 79
 
7.2%
구 77
 
7.1%
역 77
 
7.1%
시 76
 
7.0%
광 76
 
7.0%
로 74
 
6.8%
Other values (92) 287
26.3%
Decimal Number
ValueCountFrequency (%)
1 70
24.5%
4 39
13.6%
3 35
12.2%
2 30
10.5%
5 27
 
9.4%
8 25
 
8.7%
0 18
 
6.3%
6 17
 
5.9%
7 13
 
4.5%
9 12
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
S 1
25.0%
K 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1091
64.7%
Common 592
35.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 98
 
9.0%
홀 85
 
7.8%
추 81
 
7.4%
미 81
 
7.4%
천 79
 
7.2%
구 77
 
7.1%
역 77
 
7.1%
시 76
 
7.0%
광 76
 
7.0%
로 74
 
6.8%
Other values (92) 287
26.3%
Common
ValueCountFrequency (%)
285
48.1%
1 70
 
11.8%
4 39
 
6.6%
3 35
 
5.9%
2 30
 
5.1%
5 27
 
4.6%
8 25
 
4.2%
0 18
 
3.0%
6 17
 
2.9%
- 15
 
2.5%
Other values (5) 31
 
5.2%
Latin
ValueCountFrequency (%)
B 1
25.0%
S 1
25.0%
K 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1091
64.7%
ASCII 596
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
47.8%
1 70
 
11.7%
4 39
 
6.5%
3 35
 
5.9%
2 30
 
5.0%
5 27
 
4.5%
8 25
 
4.2%
0 18
 
3.0%
6 17
 
2.9%
- 15
 
2.5%
Other values (9) 35
 
5.9%
Hangul
ValueCountFrequency (%)
인 98
 
9.0%
홀 85
 
7.8%
추 81
 
7.4%
미 81
 
7.4%
천 79
 
7.2%
구 77
 
7.1%
역 77
 
7.1%
시 76
 
7.0%
광 76
 
7.0%
로 74
 
6.8%
Other values (92) 287
26.3%

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing26
Missing (%)34.2%
Memory size740.0 B
2024-03-18T13:46:14.843686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.6
Min length12

Characters and Unicode

Total characters630
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

Unique50 ?
Unique (%)100.0%

Sample

1st row032-261-2149
2nd row032-501-5633
3rd row070-8887-1052
4th row032-431-8443
5th row032-766-5287
ValueCountFrequency (%)
032-875-5443 1
 
2.0%
032-883-9254 1
 
2.0%
0507-1428-6028 1
 
2.0%
0507-1386-5116 1
 
2.0%
032-421-8839 1
 
2.0%
032-873-2800 1
 
2.0%
0507-1386-2133 1
 
2.0%
0507-1483-7946 1
 
2.0%
032-882-9506 1
 
2.0%
032-888-9777 1
 
2.0%
Other values (40) 40
80.0%
2024-03-18T13:46:15.221010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
15.9%
0 89
14.1%
3 72
11.4%
8 71
11.3%
2 68
10.8%
4 46
7.3%
1 45
7.1%
7 43
6.8%
5 39
 
6.2%
6 31
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
84.1%
Dash Punctuation 100
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
16.8%
3 72
13.6%
8 71
13.4%
2 68
12.8%
4 46
8.7%
1 45
8.5%
7 43
8.1%
5 39
7.4%
6 31
 
5.8%
9 26
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
15.9%
0 89
14.1%
3 72
11.4%
8 71
11.3%
2 68
10.8%
4 46
7.3%
1 45
7.1%
7 43
6.8%
5 39
 
6.2%
6 31
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
15.9%
0 89
14.1%
3 72
11.4%
8 71
11.3%
2 68
10.8%
4 46
7.3%
1 45
7.1%
7 43
6.8%
5 39
 
6.2%
6 31
 
4.9%

Interactions

2024-03-18T13:46:12.113477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:46:15.310990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0000.4760.9270.9271.000
상호명0.4761.0000.9970.9971.000
지번주소0.9270.9971.0001.0001.000
도로명주소0.9270.9971.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-03-18T13:46:12.296591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:46:12.402122image/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
01노다지복권방인천광역시 미추홀구 학익동 264-6 125호인천광역시 미추홀구 한나루로 400 125호032-261-2149
12sk복권방인천광역시 미추홀구 용현동 664 SK뷰상가 A-2동104호인천광역시 미추홀구 용정공원로 33 SK뷰상가 A-2동104호032-501-5633
23로또판매점인천광역시 미추홀구 주안동 227-34인천광역시 미추홀구 미추홀대로 735070-8887-1052
34대박스타복권판매점인천광역시 미추홀구 주안동 505-8인천광역시 미추홀구 경인로 348<NA>
45나눔로또판매점인천광역시 미추홀구 주안동 165-5인천광역시 미추홀구 석바위로 73032-431-8443
56충남상회인천광역시 미추홀구 숭의동 462 302동 B211호인천광역시 미추홀구 참외전로 268 302동 B211호032-766-5287
67행운복권인천광역시 미추홀구 주안동 919-11인천광역시 미추홀구 경인로 489<NA>
78CU 도화향기점인천광역시 미추홀구 도화동 119-43 12-5인천광역시 미추홀구 석정로 327 12-5032-867-0725
89인천로또명당인천광역시 미추홀구 도화동 84-4 1층인천광역시 미추홀구 장고개로 48 1층<NA>
910CU 신동아점인천광역시 미추홀구 학익동 48-131인천광역시 미추홀구 미추홀대로 489 상가동 (학익동) 2층032-873-1821
연번상호명지번주소도로명주소전화번호
6667로터리클럽인천광역시 미추홀구 주안동 844-51인천광역시 미추홀구 인하로 250-1<NA>
6768행운복권인천광역시 미추홀구 주안동 8-24인천광역시 미추홀구 길파로35번길 2032-863-9619
6869로또플렉스인천광역시 미추홀구 주안동 1464-32인천광역시 미추홀구 인하로 295<NA>
6970국가대표인천광역시 미추홀구 도화동 458-4 1층 일부호인천광역시 미추홀구 제일로 36 1층 일부호<NA>
7071BJ정보통신인천광역시 미추홀구 숭의동 208-75인천광역시 미추홀구 장천로 54-1032-889-3693
7172윤인천광역시 미추홀구 용현동 573-1 1층 1호인천광역시 미추홀구 능해길 4 1층 1호<NA>
7273와우아이스크림&노다지복권 힐푸점인천광역시 미추홀구 주안동 486-26 1층인천광역시 미추홀구 미추홀대로 641 1층0507-1370-6647
7374폰복권인천광역시 미추홀구 숭의동 53-31인천광역시 미추홀구 수봉로 7032-433-1544
7475초대박인천광역시 미추홀구 도화동 634-12 1층 102호인천광역시 미추홀구 경인로 184 1층 102호070-8018-9241
7576투엔포인천광역시 미추홀구 용현동 627-410 대신빌딩 1층인천광역시 미추홀구 매소홀로 63 대신빌딩 1층0507-1471-2254