Overview

Dataset statistics

Number of variables5
Number of observations260
Missing cells185
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory40.5 B

Variable types

Categorical2
Text3

Dataset

Description인천광역시 서구의 식품자동판매기영업의 현황(업종명, 업소명, 소재지, 전화번호 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089485&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 185 (71.2%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:52:38.597914
Analysis finished2024-03-18 02:52:39.314902
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
식품자동판매기영업
260 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품자동판매기영업
2nd row식품자동판매기영업
3rd row식품자동판매기영업
4th row식품자동판매기영업
5th row식품자동판매기영업

Common Values

ValueCountFrequency (%)
식품자동판매기영업 260
100.0%

Length

2024-03-18T11:52:39.371790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:52:39.445994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 260
100.0%

업소명
Text

UNIQUE 

Distinct260
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-18T11:52:39.639245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length9.4807692
Min length2

Characters and Unicode

Total characters2465
Distinct characters337
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

Unique260 ?
Unique (%)100.0%

Sample

1st row대명운수합자회사
2nd row먹보네
3rd row태양문구사
4th row미래할인마트
5th row서구사계절썰매장
ValueCountFrequency (%)
이마트24 13
 
3.5%
씨유 10
 
2.7%
세븐일레븐 8
 
2.1%
나우커피 8
 
2.1%
무인카페나우커피 7
 
1.9%
gs25 5
 
1.3%
무인카페 4
 
1.1%
자판기 4
 
1.1%
지에스25 4
 
1.1%
주식회사 3
 
0.8%
Other values (300) 310
82.4%
2024-03-18T11:52:39.959862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
6.0%
117
 
4.7%
58
 
2.4%
2 55
 
2.2%
48
 
1.9%
42
 
1.7%
41
 
1.7%
39
 
1.6%
39
 
1.6%
39
 
1.6%
Other values (327) 1839
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2029
82.3%
Decimal Number 118
 
4.8%
Space Separator 117
 
4.7%
Uppercase Letter 94
 
3.8%
Lowercase Letter 56
 
2.3%
Open Punctuation 24
 
1.0%
Close Punctuation 24
 
1.0%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
148
 
7.3%
58
 
2.9%
48
 
2.4%
42
 
2.1%
41
 
2.0%
39
 
1.9%
39
 
1.9%
39
 
1.9%
39
 
1.9%
37
 
1.8%
Other values (283) 1499
73.9%
Uppercase Letter
ValueCountFrequency (%)
S 21
22.3%
G 19
20.2%
C 16
17.0%
U 14
14.9%
F 3
 
3.2%
T 3
 
3.2%
O 3
 
3.2%
B 2
 
2.1%
K 2
 
2.1%
R 2
 
2.1%
Other values (7) 9
9.6%
Lowercase Letter
ValueCountFrequency (%)
e 12
21.4%
f 6
10.7%
a 5
8.9%
c 5
8.9%
n 5
8.9%
o 3
 
5.4%
t 3
 
5.4%
i 3
 
5.4%
b 2
 
3.6%
u 2
 
3.6%
Other values (7) 10
17.9%
Decimal Number
ValueCountFrequency (%)
2 55
46.6%
4 32
27.1%
5 22
 
18.6%
1 7
 
5.9%
3 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2029
82.3%
Common 286
 
11.6%
Latin 150
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
148
 
7.3%
58
 
2.9%
48
 
2.4%
42
 
2.1%
41
 
2.0%
39
 
1.9%
39
 
1.9%
39
 
1.9%
39
 
1.9%
37
 
1.8%
Other values (283) 1499
73.9%
Latin
ValueCountFrequency (%)
S 21
14.0%
G 19
12.7%
C 16
 
10.7%
U 14
 
9.3%
e 12
 
8.0%
f 6
 
4.0%
a 5
 
3.3%
c 5
 
3.3%
n 5
 
3.3%
F 3
 
2.0%
Other values (24) 44
29.3%
Common
ValueCountFrequency (%)
117
40.9%
2 55
19.2%
4 32
 
11.2%
( 24
 
8.4%
) 24
 
8.4%
5 22
 
7.7%
1 7
 
2.4%
, 2
 
0.7%
3 2
 
0.7%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2029
82.3%
ASCII 436
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
148
 
7.3%
58
 
2.9%
48
 
2.4%
42
 
2.1%
41
 
2.0%
39
 
1.9%
39
 
1.9%
39
 
1.9%
39
 
1.9%
37
 
1.8%
Other values (283) 1499
73.9%
ASCII
ValueCountFrequency (%)
117
26.8%
2 55
12.6%
4 32
 
7.3%
( 24
 
5.5%
) 24
 
5.5%
5 22
 
5.0%
S 21
 
4.8%
G 19
 
4.4%
C 16
 
3.7%
U 14
 
3.2%
Other values (34) 92
21.1%
Distinct256
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-18T11:52:40.180756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length46
Mean length34.607692
Min length9

Characters and Unicode

Total characters8998
Distinct characters307
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)98.1%

Sample

1st row인천광역시 서구 가정로 119-1 (가좌동)
2nd row인천광역시 서구 신석로121번길 2 (석남동)
3rd row인천광역시 서구 거북로 78 (석남동)
4th row인천광역시 서구 서달로207번길 10-1 (가정동)
5th row인천광역시 서구 심곡로 166 (공촌동)
ValueCountFrequency (%)
서구 255
 
14.4%
인천광역시 255
 
14.4%
1층 81
 
4.6%
가좌동 56
 
3.2%
청라동 45
 
2.5%
석남동 39
 
2.2%
일부호 31
 
1.7%
일부 25
 
1.4%
101호 16
 
0.9%
가정동 16
 
0.9%
Other values (571) 958
53.9%
2024-03-18T11:52:40.575704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1517
 
16.9%
1 448
 
5.0%
300
 
3.3%
285
 
3.2%
266
 
3.0%
, 264
 
2.9%
263
 
2.9%
262
 
2.9%
261
 
2.9%
261
 
2.9%
Other values (297) 4871
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5122
56.9%
Space Separator 1517
 
16.9%
Decimal Number 1430
 
15.9%
Other Punctuation 265
 
2.9%
Close Punctuation 259
 
2.9%
Open Punctuation 259
 
2.9%
Uppercase Letter 86
 
1.0%
Dash Punctuation 32
 
0.4%
Lowercase Letter 16
 
0.2%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
300
 
5.9%
285
 
5.6%
266
 
5.2%
263
 
5.1%
262
 
5.1%
261
 
5.1%
261
 
5.1%
258
 
5.0%
257
 
5.0%
143
 
2.8%
Other values (249) 2566
50.1%
Uppercase Letter
ValueCountFrequency (%)
C 14
16.3%
E 13
15.1%
A 8
9.3%
R 6
 
7.0%
L 6
 
7.0%
S 5
 
5.8%
P 5
 
5.8%
B 4
 
4.7%
U 4
 
4.7%
W 3
 
3.5%
Other values (9) 18
20.9%
Decimal Number
ValueCountFrequency (%)
1 448
31.3%
2 179
 
12.5%
0 176
 
12.3%
3 135
 
9.4%
4 106
 
7.4%
8 90
 
6.3%
5 86
 
6.0%
7 76
 
5.3%
6 73
 
5.1%
9 61
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
a 3
18.8%
r 2
12.5%
s 1
 
6.2%
d 1
 
6.2%
t 1
 
6.2%
y 1
 
6.2%
l 1
 
6.2%
i 1
 
6.2%
m 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
> 5
41.7%
< 5
41.7%
~ 2
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 264
99.6%
' 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1517
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 259
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5122
56.9%
Common 3774
41.9%
Latin 102
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
300
 
5.9%
285
 
5.6%
266
 
5.2%
263
 
5.1%
262
 
5.1%
261
 
5.1%
261
 
5.1%
258
 
5.0%
257
 
5.0%
143
 
2.8%
Other values (249) 2566
50.1%
Latin
ValueCountFrequency (%)
C 14
13.7%
E 13
 
12.7%
A 8
 
7.8%
R 6
 
5.9%
L 6
 
5.9%
S 5
 
4.9%
P 5
 
4.9%
B 4
 
3.9%
e 4
 
3.9%
U 4
 
3.9%
Other values (19) 33
32.4%
Common
ValueCountFrequency (%)
1517
40.2%
1 448
 
11.9%
, 264
 
7.0%
) 259
 
6.9%
( 259
 
6.9%
2 179
 
4.7%
0 176
 
4.7%
3 135
 
3.6%
4 106
 
2.8%
8 90
 
2.4%
Other values (9) 341
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5121
56.9%
ASCII 3876
43.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1517
39.1%
1 448
 
11.6%
, 264
 
6.8%
) 259
 
6.7%
( 259
 
6.7%
2 179
 
4.6%
0 176
 
4.5%
3 135
 
3.5%
4 106
 
2.7%
8 90
 
2.3%
Other values (38) 443
 
11.4%
Hangul
ValueCountFrequency (%)
300
 
5.9%
285
 
5.6%
266
 
5.2%
263
 
5.1%
262
 
5.1%
261
 
5.1%
261
 
5.1%
258
 
5.0%
257
 
5.0%
143
 
2.8%
Other values (248) 2565
50.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

전화번호
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing185
Missing (%)71.2%
Memory size2.2 KiB
2024-03-18T11:52:40.790894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04
Min length12

Characters and Unicode

Total characters903
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

Unique75 ?
Unique (%)100.0%

Sample

1st row032-575-8331
2nd row032-579-5744
3rd row032-573-8076
4th row032-574-5715
5th row032-582-2361
ValueCountFrequency (%)
032-572-1661 1
 
1.3%
032-561-2909 1
 
1.3%
032-565-0216 1
 
1.3%
032-578-3788 1
 
1.3%
032-572-2881 1
 
1.3%
032-566-0588 1
 
1.3%
032-571-4141 1
 
1.3%
032-561-0019 1
 
1.3%
032-564-6145 1
 
1.3%
032-567-3685 1
 
1.3%
Other values (65) 65
86.7%
2024-03-18T11:52:41.116895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 150
16.6%
2 127
14.1%
0 112
12.4%
3 103
11.4%
5 102
11.3%
7 79
8.7%
6 68
7.5%
1 46
 
5.1%
8 46
 
5.1%
4 39
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 753
83.4%
Dash Punctuation 150
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 127
16.9%
0 112
14.9%
3 103
13.7%
5 102
13.5%
7 79
10.5%
6 68
9.0%
1 46
 
6.1%
8 46
 
6.1%
4 39
 
5.2%
9 31
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 150
16.6%
2 127
14.1%
0 112
12.4%
3 103
11.4%
5 102
11.3%
7 79
8.7%
6 68
7.5%
1 46
 
5.1%
8 46
 
5.1%
4 39
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 150
16.6%
2 127
14.1%
0 112
12.4%
3 103
11.4%
5 102
11.3%
7 79
8.7%
6 68
7.5%
1 46
 
5.1%
8 46
 
5.1%
4 39
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-10-26
260 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-26
2nd row2023-10-26
3rd row2023-10-26
4th row2023-10-26
5th row2023-10-26

Common Values

ValueCountFrequency (%)
2023-10-26 260
100.0%

Length

2024-03-18T11:52:41.226418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:52:41.295617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-26 260
100.0%

Missing values

2024-03-18T11:52:39.206220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:52:39.281883image/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

업종명업소명소재지전화번호데이터기준일자
0식품자동판매기영업대명운수합자회사인천광역시 서구 가정로 119-1 (가좌동)032-575-83312023-10-26
1식품자동판매기영업먹보네인천광역시 서구 신석로121번길 2 (석남동)032-579-57442023-10-26
2식품자동판매기영업태양문구사인천광역시 서구 거북로 78 (석남동)032-573-80762023-10-26
3식품자동판매기영업미래할인마트인천광역시 서구 서달로207번길 10-1 (가정동)032-574-57152023-10-26
4식품자동판매기영업서구사계절썰매장인천광역시 서구 심곡로 166 (공촌동)032-582-23612023-10-26
5식품자동판매기영업재인교통(합)인천광역시 서구 가정로 119 (가좌동)032-576-31842023-10-26
6식품자동판매기영업장미슈퍼인천광역시 서구 가정로138번길 26 (가좌동)032-575-90872023-10-26
7식품자동판매기영업고려슈퍼자판기인천광역시 서구 거북로 77 (석남동)<NA>2023-10-26
8식품자동판매기영업(주)삼화전자인천광역시 서구 건지로284번길 98 (가좌동)032-576-31722023-10-26
9식품자동판매기영업버클리인천광역시 서구 원적로 100 (가좌동)032-571-18842023-10-26
업종명업소명소재지전화번호데이터기준일자
250식품자동판매기영업씨유 청라BSC점인천광역시 서구 담지로86번길 13, 일부호 (청라동)<NA>2023-10-26
251식품자동판매기영업위니아24크린샵 청라국제도시역점인천광역시 서구 에코로 65, 청라국제도시역 푸르지오시티 근생동 205호 (청라동)<NA>2023-10-26
252식품자동판매기영업(주)이은에너지인천광역시 서구 백범로 845, 1층 일부호 (가좌동)<NA>2023-10-26
253식품자동판매기영업GS25뉴가좌유영점인천광역시 서구 여우재로75번길 3, 105동 101호일부호 (가좌동, 유영아파트)<NA>2023-10-26
254식품자동판매기영업지에스25 루원제일풍경채인천광역시 서구 봉오재3로 11, 1층 107,108호 (가정동, 루원제일풍경채)<NA>2023-10-26
255식품자동판매기영업CU서구당하점인천광역시 서구 청마로 163, 당하메디칼센타 109호 (당하동)<NA>2023-10-26
256식품자동판매기영업로봇까페핸드인천광역시 서구 청라라임로106번길 13, 1층 일부호 (청라동)<NA>2023-10-26
257식품자동판매기영업주식회사 퍼니랜드인천광역시 서구 서곶로 754, 당하 이마트 3층 (당하동)032-675-05462023-10-26
258식품자동판매기영업인천서부경찰서 구내식당 운영위원회인천광역시 서구 탁옥로 77, 인천서부경찰서 본관동 1층 민원실호 (심곡동)032-453-32262023-10-26
259식품자동판매기영업그레이트카페 뉴성민병원점인천광역시 서구 신석로 70, 성민병원 신관동 1층 (석남동)<NA>2023-10-26