Overview

Dataset statistics

Number of variables12
Number of observations709
Missing cells5672
Missing cells (%)66.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.1 KiB
Average record size in memory104.2 B

Variable types

Text4
Unsupported8

Dataset

Description인천광역시 내에 위치한 자원봉사할인가맹점에 대한 업종, 상호, 주소, 할인율, 소속자원봉사센터 등 현황을 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105868&srcSe=7661IVAWM27C61E190

Alerts

Unnamed: 4 has 709 (100.0%) missing valuesMissing
Unnamed: 5 has 709 (100.0%) missing valuesMissing
Unnamed: 6 has 709 (100.0%) missing valuesMissing
Unnamed: 7 has 709 (100.0%) missing valuesMissing
Unnamed: 8 has 709 (100.0%) missing valuesMissing
Unnamed: 9 has 709 (100.0%) missing valuesMissing
Unnamed: 10 has 709 (100.0%) missing valuesMissing
Unnamed: 11 has 709 (100.0%) missing valuesMissing
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-18 02:54:15.087579
Analysis finished2024-03-18 02:54:15.853092
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Text

Distinct112
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-03-18T11:54:15.962651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.235543
Min length2

Characters and Unicode

Total characters2294
Distinct characters173
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)10.2%

Sample

1st row기타
2nd row제과제빵
3rd row제과제빵
4th row제과제빵
5th row제과제빵
ValueCountFrequency (%)
음식점 158
21.9%
이미용 94
13.0%
기타 68
 
9.4%
제과제빵 32
 
4.4%
병원 27
 
3.7%
부동산중개 26
 
3.6%
안경원 26
 
3.6%
화원 25
 
3.5%
커피전문점 21
 
2.9%
의류판매 18
 
2.5%
Other values (110) 227
31.4%
2024-03-18T11:54:16.243687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 183
 
8.0%
식 168
 
7.3%
음 158
 
6.9%
기 102
 
4.4%
원 101
 
4.4%
이 100
 
4.4%
용 98
 
4.3%
미 94
 
4.1%
타 69
 
3.0%
제 67
 
2.9%
Other values (163) 1154
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2262
98.6%
Space Separator 13
 
0.6%
Other Punctuation 12
 
0.5%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 183
 
8.1%
식 168
 
7.4%
음 158
 
7.0%
기 102
 
4.5%
원 101
 
4.5%
이 100
 
4.4%
용 98
 
4.3%
미 94
 
4.2%
타 69
 
3.1%
제 67
 
3.0%
Other values (153) 1122
49.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
V 1
14.3%
T 1
14.3%
P 1
14.3%
O 1
14.3%
S 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
/ 4
33.3%
. 1
 
8.3%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2262
98.6%
Common 25
 
1.1%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 183
 
8.1%
식 168
 
7.4%
음 158
 
7.0%
기 102
 
4.5%
원 101
 
4.5%
이 100
 
4.4%
용 98
 
4.3%
미 94
 
4.2%
타 69
 
3.1%
제 67
 
3.0%
Other values (153) 1122
49.6%
Latin
ValueCountFrequency (%)
C 2
28.6%
V 1
14.3%
T 1
14.3%
P 1
14.3%
O 1
14.3%
S 1
14.3%
Common
ValueCountFrequency (%)
13
52.0%
, 7
28.0%
/ 4
 
16.0%
. 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2262
98.6%
ASCII 32
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 183
 
8.1%
식 168
 
7.4%
음 158
 
7.0%
기 102
 
4.5%
원 101
 
4.5%
이 100
 
4.4%
용 98
 
4.3%
미 94
 
4.2%
타 69
 
3.1%
제 67
 
3.0%
Other values (153) 1122
49.6%
ASCII
ValueCountFrequency (%)
13
40.6%
, 7
21.9%
/ 4
 
12.5%
C 2
 
6.2%
. 1
 
3.1%
V 1
 
3.1%
T 1
 
3.1%
P 1
 
3.1%
O 1
 
3.1%
S 1
 
3.1%

상 호
Text

Distinct707
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-03-18T11:54:16.460767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.5500705
Min length2

Characters and Unicode

Total characters4644
Distinct characters578
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique705 ?
Unique (%)99.4%

Sample

1st row삼도광고기획
2nd row굿모닝 베이커리
3rd row케익이벤트
4th row케익하우스 델리
5th row팡스
ValueCountFrequency (%)
삼산점 3
 
0.3%
사무소 3
 
0.3%
안경 2
 
0.2%
행복한 2
 
0.2%
꽃집 2
 
0.2%
빠리바게뜨 2
 
0.2%
주식회사 2
 
0.2%
카페보나 2
 
0.2%
꽃 2
 
0.2%
인천논현점 2
 
0.2%
Other values (846) 860
97.5%
2024-03-18T11:54:16.797462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
3.8%
사 82
 
1.8%
이 80
 
1.7%
점 79
 
1.7%
스 79
 
1.7%
인 79
 
1.7%
리 78
 
1.7%
원 75
 
1.6%
어 65
 
1.4%
헤 48
 
1.0%
Other values (568) 3803
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4324
93.1%
Space Separator 182
 
3.9%
Uppercase Letter 28
 
0.6%
Lowercase Letter 26
 
0.6%
Close Punctuation 21
 
0.5%
Open Punctuation 20
 
0.4%
Decimal Number 18
 
0.4%
Other Punctuation 13
 
0.3%
Other Symbol 11
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 82
 
1.9%
이 80
 
1.9%
점 79
 
1.8%
스 79
 
1.8%
인 79
 
1.8%
리 78
 
1.8%
원 75
 
1.7%
어 65
 
1.5%
헤 48
 
1.1%
장 44
 
1.0%
Other values (524) 3615
83.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
14.3%
S 4
14.3%
M 4
14.3%
O 3
10.7%
P 3
10.7%
C 2
7.1%
K 2
7.1%
R 1
 
3.6%
B 1
 
3.6%
T 1
 
3.6%
Other values (3) 3
10.7%
Lowercase Letter
ValueCountFrequency (%)
s 4
15.4%
o 4
15.4%
k 3
11.5%
r 3
11.5%
y 2
7.7%
t 2
7.7%
m 2
7.7%
e 1
 
3.8%
c 1
 
3.8%
u 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
0 4
22.2%
2 3
16.7%
4 2
 
11.1%
3 1
 
5.6%
5 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 4
30.8%
& 3
23.1%
/ 2
15.4%
. 2
15.4%
· 1
 
7.7%
＆ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
176
96.7%
  6
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4334
93.3%
Common 255
 
5.5%
Latin 54
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 82
 
1.9%
이 80
 
1.8%
점 79
 
1.8%
스 79
 
1.8%
인 79
 
1.8%
리 78
 
1.8%
원 75
 
1.7%
어 65
 
1.5%
헤 48
 
1.1%
장 44
 
1.0%
Other values (524) 3625
83.6%
Latin
ValueCountFrequency (%)
A 4
 
7.4%
s 4
 
7.4%
o 4
 
7.4%
S 4
 
7.4%
M 4
 
7.4%
k 3
 
5.6%
r 3
 
5.6%
O 3
 
5.6%
P 3
 
5.6%
C 2
 
3.7%
Other values (16) 20
37.0%
Common
ValueCountFrequency (%)
176
69.0%
) 21
 
8.2%
( 20
 
7.8%
1 7
 
2.7%
  6
 
2.4%
0 4
 
1.6%
, 4
 
1.6%
2 3
 
1.2%
& 3
 
1.2%
/ 2
 
0.8%
Other values (7) 9
 
3.5%
Han
ValueCountFrequency (%)
李 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4323
93.1%
ASCII 301
 
6.5%
None 19
 
0.4%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
58.5%
) 21
 
7.0%
( 20
 
6.6%
1 7
 
2.3%
0 4
 
1.3%
, 4
 
1.3%
A 4
 
1.3%
s 4
 
1.3%
o 4
 
1.3%
S 4
 
1.3%
Other values (30) 53
 
17.6%
Hangul
ValueCountFrequency (%)
사 82
 
1.9%
이 80
 
1.9%
점 79
 
1.8%
스 79
 
1.8%
인 79
 
1.8%
리 78
 
1.8%
원 75
 
1.7%
어 65
 
1.5%
헤 48
 
1.1%
장 44
 
1.0%
Other values (523) 3614
83.6%
None
ValueCountFrequency (%)
㈜ 11
57.9%
  6
31.6%
· 1
 
5.3%
＆ 1
 
5.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

주 소
Text

Distinct696
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-03-18T11:54:17.077072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length16.543018
Min length6

Characters and Unicode

Total characters11729
Distinct characters304
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

Unique683 ?
Unique (%)96.3%

Sample

1st row부평구 부평1동464-7
2nd row동구 화평동40-1(삼두@1차옆)
3rd row남동구 만수1동983(삼환아파트후문)
4th row남동구 구월동1273-9(모래내시장입구)
5th row남동구 만수2동6-9(만수주공11단지입구)
ValueCountFrequency (%)
인천 131
 
5.1%
남동구 99
 
3.8%
부평구 93
 
3.6%
남구 75
 
2.9%
연수구 74
 
2.9%
중구 72
 
2.8%
서구 67
 
2.6%
동구 62
 
2.4%
계양구 54
 
2.1%
1층 45
 
1.7%
Other values (1132) 1813
70.1%
2024-03-18T11:54:17.528744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1897
 
16.2%
1 729
 
6.2%
구 667
 
5.7%
동 608
 
5.2%
2 511
 
4.4%
로 350
 
3.0%
- 336
 
2.9%
4 334
 
2.8%
3 318
 
2.7%
5 289
 
2.5%
Other values (294) 5690
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6003
51.2%
Decimal Number 3227
27.5%
Space Separator 1902
 
16.2%
Dash Punctuation 336
 
2.9%
Other Punctuation 91
 
0.8%
Open Punctuation 76
 
0.6%
Close Punctuation 76
 
0.6%
Uppercase Letter 13
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 667
 
11.1%
동 608
 
10.1%
로 350
 
5.8%
남 222
 
3.7%
인 219
 
3.6%
천 197
 
3.3%
길 162
 
2.7%
번 159
 
2.6%
부 142
 
2.4%
수 133
 
2.2%
Other values (265) 3144
52.4%
Decimal Number
ValueCountFrequency (%)
1 729
22.6%
2 511
15.8%
4 334
10.4%
3 318
9.9%
5 289
 
9.0%
0 254
 
7.9%
6 209
 
6.5%
8 203
 
6.3%
7 191
 
5.9%
9 189
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
38.5%
B 4
30.8%
J 1
 
7.7%
H 1
 
7.7%
S 1
 
7.7%
E 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 77
84.6%
. 7
 
7.7%
/ 4
 
4.4%
@ 3
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
g 1
33.3%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
1897
99.7%
  5
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6003
51.2%
Common 5710
48.7%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 667
 
11.1%
동 608
 
10.1%
로 350
 
5.8%
남 222
 
3.7%
인 219
 
3.6%
천 197
 
3.3%
길 162
 
2.7%
번 159
 
2.6%
부 142
 
2.4%
수 133
 
2.2%
Other values (265) 3144
52.4%
Common
ValueCountFrequency (%)
1897
33.2%
1 729
 
12.8%
2 511
 
8.9%
- 336
 
5.9%
4 334
 
5.8%
3 318
 
5.6%
5 289
 
5.1%
0 254
 
4.4%
6 209
 
3.7%
8 203
 
3.6%
Other values (10) 630
 
11.0%
Latin
ValueCountFrequency (%)
A 5
31.2%
B 4
25.0%
h 1
 
6.2%
g 1
 
6.2%
J 1
 
6.2%
H 1
 
6.2%
c 1
 
6.2%
S 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6003
51.2%
ASCII 5721
48.8%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1897
33.2%
1 729
 
12.7%
2 511
 
8.9%
- 336
 
5.9%
4 334
 
5.8%
3 318
 
5.6%
5 289
 
5.1%
0 254
 
4.4%
6 209
 
3.7%
8 203
 
3.5%
Other values (18) 641
 
11.2%
Hangul
ValueCountFrequency (%)
구 667
 
11.1%
동 608
 
10.1%
로 350
 
5.8%
남 222
 
3.7%
인 219
 
3.6%
천 197
 
3.3%
길 162
 
2.7%
번 159
 
2.6%
부 142
 
2.4%
수 133
 
2.2%
Other values (265) 3144
52.4%
None
ValueCountFrequency (%)
  5
100.0%

할인율
Text

Distinct257
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-03-18T11:54:17.711012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length9.3300423
Min length2

Characters and Unicode

Total characters6615
Distinct characters286
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)29.6%

Sample

1st row요금의10%(전품목)
2nd row전품목 20%
3rd row전품목 20%
4th row전품목 10%
5th row전품목 20%
ValueCountFrequency (%)
전체품목 190
 
14.3%
10 175
 
13.1%
5 157
 
11.8%
일부품목 83
 
6.2%
전품목 52
 
3.9%
전체 49
 
3.7%
20 44
 
3.3%
10%(전체 34
 
2.6%
전품목10 24
 
1.8%
제외 19
 
1.4%
Other values (335) 506
38.0%
2024-03-18T11:54:17.996902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 702
 
10.6%
635
 
9.6%
품 500
 
7.6%
0 482
 
7.3%
목 480
 
7.3%
전 444
 
6.7%
1 344
 
5.2%
체 317
 
4.8%
5 252
 
3.8%
( 247
 
3.7%
Other values (276) 2212
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3414
51.6%
Decimal Number 1242
 
18.8%
Other Punctuation 805
 
12.2%
Space Separator 635
 
9.6%
Open Punctuation 247
 
3.7%
Close Punctuation 247
 
3.7%
Math Symbol 9
 
0.1%
Lowercase Letter 7
 
0.1%
Uppercase Letter 4
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 500
14.6%
목 480
14.1%
전 444
13.0%
체 317
 
9.3%
일 188
 
5.5%
부 185
 
5.4%
제 73
 
2.1%
외 49
 
1.4%
시 39
 
1.1%
비 31
 
0.9%
Other values (244) 1108
32.5%
Decimal Number
ValueCountFrequency (%)
0 482
38.8%
1 344
27.7%
5 252
20.3%
2 93
 
7.5%
3 50
 
4.0%
4 7
 
0.6%
9 4
 
0.3%
7 4
 
0.3%
6 3
 
0.2%
8 3
 
0.2%
Other Punctuation
ValueCountFrequency (%)
% 702
87.2%
, 85
 
10.6%
/ 5
 
0.6%
: 5
 
0.6%
. 4
 
0.5%
* 2
 
0.2%
& 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
f 2
28.6%
e 2
28.6%
o 1
14.3%
c 1
14.3%
x 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
25.0%
P 1
25.0%
R 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
635
100.0%
Open Punctuation
ValueCountFrequency (%)
( 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 247
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎝ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3414
51.6%
Common 3190
48.2%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 500
14.6%
목 480
14.1%
전 444
13.0%
체 317
 
9.3%
일 188
 
5.5%
부 185
 
5.4%
제 73
 
2.1%
외 49
 
1.4%
시 39
 
1.1%
비 31
 
0.9%
Other values (244) 1108
32.5%
Common
ValueCountFrequency (%)
% 702
22.0%
635
19.9%
0 482
15.1%
1 344
10.8%
5 252
 
7.9%
( 247
 
7.7%
) 247
 
7.7%
2 93
 
2.9%
, 85
 
2.7%
3 50
 
1.6%
Other values (13) 53
 
1.7%
Latin
ValueCountFrequency (%)
f 2
18.2%
e 2
18.2%
I 1
9.1%
P 1
9.1%
o 1
9.1%
c 1
9.1%
x 1
9.1%
R 1
9.1%
L 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3414
51.6%
ASCII 3199
48.4%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 702
21.9%
635
19.8%
0 482
15.1%
1 344
10.8%
5 252
 
7.9%
( 247
 
7.7%
) 247
 
7.7%
2 93
 
2.9%
, 85
 
2.7%
3 50
 
1.6%
Other values (21) 62
 
1.9%
Hangul
ValueCountFrequency (%)
품 500
14.6%
목 480
14.1%
전 444
13.0%
체 317
 
9.3%
일 188
 
5.5%
부 185
 
5.4%
제 73
 
2.1%
외 49
 
1.4%
시 39
 
1.1%
비 31
 
0.9%
Other values (244) 1108
32.5%
CJK Compat
ValueCountFrequency (%)
㎝ 2
100.0%

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing709
Missing (%)100.0%
Memory size6.4 KiB

Missing values

2024-03-18T11:54:15.648708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:54:15.791665image/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

업종상 호주 소할인율Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
0기타삼도광고기획부평구 부평1동464-7요금의10%(전품목)<NA><NA><NA><NA><NA><NA><NA><NA>
1제과제빵굿모닝 베이커리동구 화평동40-1(삼두@1차옆)전품목 20%<NA><NA><NA><NA><NA><NA><NA><NA>
2제과제빵케익이벤트남동구 만수1동983(삼환아파트후문)전품목 20%<NA><NA><NA><NA><NA><NA><NA><NA>
3제과제빵케익하우스 델리남동구 구월동1273-9(모래내시장입구)전품목 10%<NA><NA><NA><NA><NA><NA><NA><NA>
4제과제빵팡스남동구 만수2동6-9(만수주공11단지입구)전품목 20%<NA><NA><NA><NA><NA><NA><NA><NA>
5제과제빵빵 굽는집동구 만석동122만석비치타운@상가105호전품목 20%<NA><NA><NA><NA><NA><NA><NA><NA>
6제과제빵마리앙뜨 과자점남동구 만수4동40 주공나동상가103호전품목 20%<NA><NA><NA><NA><NA><NA><NA><NA>
7음식점정 석 루중구 항동7가 87-2요금의5%(배달제외)<NA><NA><NA><NA><NA><NA><NA><NA>
8음식점해뜨는집중구 북성동1가 98 -255요금의10%(전품목)<NA><NA><NA><NA><NA><NA><NA><NA>
9음식점월미도횟집중구 북성동1가98 419호요금의10%(전품목)<NA><NA><NA><NA><NA><NA><NA><NA>
업종상 호주 소할인율Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
699기타공간비토매소홀로262, 14020호전체품목 10%<NA><NA><NA><NA><NA><NA><NA><NA>
700기타한우 축산 경인 직매장미추홀구 수봉로21번길 18전체 품목5%<NA><NA><NA><NA><NA><NA><NA><NA>
701음식점백령도횟집남동구 장도로67 1층 102호전체품목5%<NA><NA><NA><NA><NA><NA><NA><NA>
702제과제빵주식회사 더꿈중구 반달로 14번길 14 1,2,3층일부품목(빵,음료) 10%<NA><NA><NA><NA><NA><NA><NA><NA>
703음식점캐틀하우스 인천송도점인천시 연수구 앵고개로99 1층일부품목(행사상품 및 냉동상품 제외) 10%<NA><NA><NA><NA><NA><NA><NA><NA>
704안경원으뜸플러스 인천연수점인천시 연수구 용담로 129 2층일부품목(현금 또는 일반카드 결제시) 5%<NA><NA><NA><NA><NA><NA><NA><NA>
705커피전문점더스탈릿 브런치 베이커리카페인천시 연수구 아암대로 825-25전체품목 5%<NA><NA><NA><NA><NA><NA><NA><NA>
706음식점이바돔감자탕/조선화로집 소래시티점남동구 소래역남로 16번길8-7 2층찜,감자탕류5%(음료, 주료제외)<NA><NA><NA><NA><NA><NA><NA><NA>
707음식점수원왕갈비통닭 인천논현점남동구 장도로4 1층 103호전체품목5%(음료,사이드메뉴제외)<NA><NA><NA><NA><NA><NA><NA><NA>
708음식점홍어먹는날(부평시장점)인천 부평구 부흥로304번길9전체품목10%<NA><NA><NA><NA><NA><NA><NA><NA>