Overview

Dataset statistics

Number of variables4
Number of observations195
Missing cells8
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory32.7 B

Variable types

Text4

Dataset

Description대전광역시 다자녀가정우대 참여업체현황(기타판매시설)에 대한 데이터로 소재지, 전화번호, 우대 내용 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15061152/fileData.do

Alerts

전화번호 has 8 (4.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:14:01.683333
Analysis finished2023-12-12 15:14:02.236399
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct194
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T00:14:02.461723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.2051282
Min length1

Characters and Unicode

Total characters1210
Distinct characters336
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

Unique193 ?
Unique (%)99.0%

Sample

1st row대원떡집
2nd row에쎈스가구나라
3rd row경상도떡집
4th row싱싱할인마트
5th row자이육류백화점
ValueCountFrequency (%)
공인중개사사무소 3
 
1.2%
정육점 3
 
1.2%
도안점 2
 
0.8%
세탁 2
 
0.8%
카페 2
 
0.8%
byc 2
 
0.8%
반석점 2
 
0.8%
건강카페 2
 
0.8%
드림마트 2
 
0.8%
떡집 2
 
0.8%
Other values (228) 228
91.2%
2023-12-13T00:14:02.946414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
4.7%
31
 
2.6%
22
 
1.8%
18
 
1.5%
18
 
1.5%
18
 
1.5%
17
 
1.4%
17
 
1.4%
17
 
1.4%
17
 
1.4%
Other values (326) 978
80.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1090
90.1%
Space Separator 57
 
4.7%
Uppercase Letter 25
 
2.1%
Close Punctuation 11
 
0.9%
Open Punctuation 11
 
0.9%
Decimal Number 9
 
0.7%
Lowercase Letter 4
 
0.3%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
2.8%
22
 
2.0%
18
 
1.7%
18
 
1.7%
18
 
1.7%
17
 
1.6%
17
 
1.6%
17
 
1.6%
17
 
1.6%
16
 
1.5%
Other values (297) 899
82.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
16.0%
Y 4
16.0%
C 4
16.0%
O 2
8.0%
R 2
8.0%
M 1
 
4.0%
E 1
 
4.0%
J 1
 
4.0%
K 1
 
4.0%
P 1
 
4.0%
Other values (4) 4
16.0%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
0 2
22.2%
5 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
a 1
25.0%
f 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1091
90.2%
Common 90
 
7.4%
Latin 29
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
2.8%
22
 
2.0%
18
 
1.6%
18
 
1.6%
18
 
1.6%
17
 
1.6%
17
 
1.6%
17
 
1.6%
17
 
1.6%
16
 
1.5%
Other values (298) 900
82.5%
Latin
ValueCountFrequency (%)
B 4
13.8%
Y 4
13.8%
C 4
13.8%
O 2
 
6.9%
R 2
 
6.9%
c 1
 
3.4%
M 1
 
3.4%
a 1
 
3.4%
f 1
 
3.4%
e 1
 
3.4%
Other values (8) 8
27.6%
Common
ValueCountFrequency (%)
57
63.3%
) 11
 
12.2%
( 11
 
12.2%
1 4
 
4.4%
0 2
 
2.2%
5 1
 
1.1%
3 1
 
1.1%
2 1
 
1.1%
. 1
 
1.1%
- 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1090
90.1%
ASCII 119
 
9.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
47.9%
) 11
 
9.2%
( 11
 
9.2%
B 4
 
3.4%
Y 4
 
3.4%
C 4
 
3.4%
1 4
 
3.4%
O 2
 
1.7%
0 2
 
1.7%
R 2
 
1.7%
Other values (18) 18
 
15.1%
Hangul
ValueCountFrequency (%)
31
 
2.8%
22
 
2.0%
18
 
1.7%
18
 
1.7%
18
 
1.7%
17
 
1.6%
17
 
1.6%
17
 
1.6%
17
 
1.6%
16
 
1.5%
Other values (297) 899
82.5%
None
ValueCountFrequency (%)
1
100.0%
Distinct189
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T00:14:03.338232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length25.148718
Min length17

Characters and Unicode

Total characters4904
Distinct characters173
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

Unique185 ?
Unique (%)94.9%

Sample

1st row대전광역시 동구 계족로 242-1(소제동)
2nd row대전광역시 동구 충무로 194-1(인동)
3rd row대전광역시 동구 삼성시장2길 21(삼성동)
4th row대전광역시 동구 동서대로 1520번길 22(삼성동)
5th row대전광역시 동구 대전로 935, 105호(삼성동, 한밭자이@ 상가)
ValueCountFrequency (%)
대전광역시 194
21.9%
서구 60
 
6.8%
중구 46
 
5.2%
동구 36
 
4.1%
유성구 26
 
2.9%
대덕구 26
 
2.9%
도마2길 6
 
0.7%
중앙로 6
 
0.7%
보문로 6
 
0.7%
대전로 5
 
0.6%
Other values (385) 474
53.6%
2023-12-13T00:14:03.875242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
698
 
14.2%
266
 
5.4%
246
 
5.0%
208
 
4.2%
199
 
4.1%
196
 
4.0%
194
 
4.0%
194
 
4.0%
) 186
 
3.8%
( 186
 
3.8%
Other values (163) 2331
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2966
60.5%
Decimal Number 796
 
16.2%
Space Separator 698
 
14.2%
Close Punctuation 186
 
3.8%
Open Punctuation 186
 
3.8%
Other Punctuation 45
 
0.9%
Dash Punctuation 24
 
0.5%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
266
 
9.0%
246
 
8.3%
208
 
7.0%
199
 
6.7%
196
 
6.6%
194
 
6.5%
194
 
6.5%
170
 
5.7%
109
 
3.7%
88
 
3.0%
Other values (143) 1096
37.0%
Decimal Number
ValueCountFrequency (%)
1 184
23.1%
2 116
14.6%
3 82
10.3%
4 78
9.8%
0 67
 
8.4%
6 59
 
7.4%
7 56
 
7.0%
5 52
 
6.5%
9 51
 
6.4%
8 51
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 42
93.3%
. 2
 
4.4%
@ 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2966
60.5%
Common 1936
39.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
266
 
9.0%
246
 
8.3%
208
 
7.0%
199
 
6.7%
196
 
6.6%
194
 
6.5%
194
 
6.5%
170
 
5.7%
109
 
3.7%
88
 
3.0%
Other values (143) 1096
37.0%
Common
ValueCountFrequency (%)
698
36.1%
) 186
 
9.6%
( 186
 
9.6%
1 184
 
9.5%
2 116
 
6.0%
3 82
 
4.2%
4 78
 
4.0%
0 67
 
3.5%
6 59
 
3.0%
7 56
 
2.9%
Other values (8) 224
 
11.6%
Latin
ValueCountFrequency (%)
M 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2966
60.5%
ASCII 1938
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
698
36.0%
) 186
 
9.6%
( 186
 
9.6%
1 184
 
9.5%
2 116
 
6.0%
3 82
 
4.2%
4 78
 
4.0%
0 67
 
3.5%
6 59
 
3.0%
7 56
 
2.9%
Other values (10) 226
 
11.7%
Hangul
ValueCountFrequency (%)
266
 
9.0%
246
 
8.3%
208
 
7.0%
199
 
6.7%
196
 
6.6%
194
 
6.5%
194
 
6.5%
170
 
5.7%
109
 
3.7%
88
 
3.0%
Other values (143) 1096
37.0%

전화번호
Text

MISSING 

Distinct187
Distinct (%)100.0%
Missing8
Missing (%)4.1%
Memory size1.7 KiB
2023-12-13T00:14:04.119927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters2244
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

Unique187 ?
Unique (%)100.0%

Sample

1st row042-672-8396
2nd row042-623-3447
3rd row042-624-1735
4th row042-634-0035
5th row042-826-3386
ValueCountFrequency (%)
042-226-1444 1
 
0.5%
042-532-2990 1
 
0.5%
042-825-4957 1
 
0.5%
042-534-2999 1
 
0.5%
042-532-7898 1
 
0.5%
042-482-7180 1
 
0.5%
042-483-8285 1
 
0.5%
042-488-0727 1
 
0.5%
042-320-8877 1
 
0.5%
042-526-0036 1
 
0.5%
Other values (177) 177
94.7%
2023-12-13T00:14:04.517844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 423
18.9%
- 373
16.6%
4 302
13.5%
0 294
13.1%
5 186
8.3%
3 156
 
7.0%
8 130
 
5.8%
6 126
 
5.6%
7 94
 
4.2%
1 83
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1871
83.4%
Dash Punctuation 373
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 423
22.6%
4 302
16.1%
0 294
15.7%
5 186
9.9%
3 156
 
8.3%
8 130
 
6.9%
6 126
 
6.7%
7 94
 
5.0%
1 83
 
4.4%
9 77
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 423
18.9%
- 373
16.6%
4 302
13.5%
0 294
13.1%
5 186
8.3%
3 156
 
7.0%
8 130
 
5.8%
6 126
 
5.6%
7 94
 
4.2%
1 83
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 423
18.9%
- 373
16.6%
4 302
13.5%
0 294
13.1%
5 186
8.3%
3 156
 
7.0%
8 130
 
5.8%
6 126
 
5.6%
7 94
 
4.2%
1 83
 
3.7%
Distinct87
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T00:14:04.795923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length13.179487
Min length5

Characters and Unicode

Total characters2570
Distinct characters180
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)38.5%

Sample

1st row전체품목 5% 할인
2nd row일부품목 5% 할인
3rd row전체품목 5% 할인
4th row전체품목 5% 할인(주류,담배 제외)
5th row전체품목 5% 할인
ValueCountFrequency (%)
할인 134
21.5%
전체품목 102
16.4%
5 88
14.1%
10 55
 
8.8%
일부품목 46
 
7.4%
5%할인 14
 
2.3%
제외 10
 
1.6%
10%할인 7
 
1.1%
현금결제시 4
 
0.6%
20 4
 
0.6%
Other values (119) 158
25.4%
2023-12-13T00:14:05.245368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
434
16.9%
197
 
7.7%
% 193
 
7.5%
189
 
7.4%
162
 
6.3%
155
 
6.0%
5 113
 
4.4%
110
 
4.3%
109
 
4.2%
0 84
 
3.3%
Other values (170) 824
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1516
59.0%
Space Separator 434
 
16.9%
Decimal Number 296
 
11.5%
Other Punctuation 225
 
8.8%
Close Punctuation 42
 
1.6%
Open Punctuation 42
 
1.6%
Lowercase Letter 10
 
0.4%
Math Symbol 3
 
0.1%
Uppercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
197
13.0%
189
12.5%
162
 
10.7%
155
 
10.2%
110
 
7.3%
109
 
7.2%
49
 
3.2%
49
 
3.2%
25
 
1.6%
24
 
1.6%
Other values (145) 447
29.5%
Decimal Number
ValueCountFrequency (%)
5 113
38.2%
0 84
28.4%
1 82
27.7%
3 9
 
3.0%
2 6
 
2.0%
4 1
 
0.3%
8 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
k 4
40.0%
g 1
 
10.0%
t 1
 
10.0%
u 1
 
10.0%
o 1
 
10.0%
e 1
 
10.0%
a 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
% 193
85.8%
, 30
 
13.3%
. 1
 
0.4%
: 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
434
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1516
59.0%
Common 1043
40.6%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
197
13.0%
189
12.5%
162
 
10.7%
155
 
10.2%
110
 
7.3%
109
 
7.2%
49
 
3.2%
49
 
3.2%
25
 
1.6%
24
 
1.6%
Other values (145) 447
29.5%
Common
ValueCountFrequency (%)
434
41.6%
% 193
18.5%
5 113
 
10.8%
0 84
 
8.1%
1 82
 
7.9%
) 42
 
4.0%
( 42
 
4.0%
, 30
 
2.9%
3 9
 
0.9%
2 6
 
0.6%
Other values (7) 8
 
0.8%
Latin
ValueCountFrequency (%)
k 4
36.4%
g 1
 
9.1%
t 1
 
9.1%
T 1
 
9.1%
u 1
 
9.1%
o 1
 
9.1%
e 1
 
9.1%
a 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1513
58.9%
ASCII 1053
41.0%
Compat Jamo 3
 
0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
434
41.2%
% 193
18.3%
5 113
 
10.7%
0 84
 
8.0%
1 82
 
7.8%
) 42
 
4.0%
( 42
 
4.0%
, 30
 
2.8%
3 9
 
0.9%
2 6
 
0.6%
Other values (14) 18
 
1.7%
Hangul
ValueCountFrequency (%)
197
13.0%
189
12.5%
162
 
10.7%
155
 
10.2%
110
 
7.3%
109
 
7.2%
49
 
3.2%
49
 
3.2%
25
 
1.7%
24
 
1.6%
Other values (144) 444
29.3%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

Missing values

2023-12-13T00:14:02.108651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:14:02.196974image/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

기관ㆍ업체명소재지전화번호우대내용
0대원떡집대전광역시 동구 계족로 242-1(소제동)042-672-8396전체품목 5% 할인
1에쎈스가구나라대전광역시 동구 충무로 194-1(인동)042-623-3447일부품목 5% 할인
2경상도떡집대전광역시 동구 삼성시장2길 21(삼성동)042-624-1735전체품목 5% 할인
3싱싱할인마트대전광역시 동구 동서대로 1520번길 22(삼성동)042-634-0035전체품목 5% 할인(주류,담배 제외)
4자이육류백화점대전광역시 동구 대전로 935, 105호(삼성동, 한밭자이@ 상가)042-826-3386전체품목 5% 할인
5현정꿈대전광역시 동구 용운로 132-45(용운동)042-284-6822일부품목 할인(이불, 커튼)
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187드림마트대전광역시 대덕구 대전로 1372(읍내동)042-638-0290현금결제시 일부품목 1% 자체 포인트 적립(술, 담배, 양곡, 우유,행사제품 제외)
188엔제리너스 비래점대전광역시 대덕구 비래동로 7, 1층(비래동)042-626-4104일부품목 10% 할인(커피류)
189엔틱반대전광역시 대덕구 계족산로5번안길10(법동)042-625-3468전체품목 10% 할인
190㈜아이티비대전광역시 대덕구 계족로608번길 23-6(법동)042-621-5809전체품목 10% 할인
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