Overview

Dataset statistics

Number of variables8
Number of observations1976
Missing cells936
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.6 KiB
Average record size in memory65.1 B

Variable types

Categorical2
DateTime1
Text4
Numeric1

Dataset

Description남동구 한식집 현황에 대한 데이터로 업종명, 인허가일자, 업소명, 소재지(도로명주소), 소재지(지번주소), 소재지전화번호, 업태명 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15116825/fileData.do

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
소재지전화 has 930 (47.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:39:43.201879
Analysis finished2023-12-12 09:39:44.833192
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
일반음식점
1976 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 1976
100.0%

Length

2023-12-12T18:39:44.918807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:45.076111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1976
100.0%

인허가일자
Date

Distinct1664
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum1978-02-23 00:00:00
Maximum2023-05-10 00:00:00
2023-12-12T18:39:45.207455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:39:45.415617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1911
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2023-12-12T18:39:45.793452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length6.4893725
Min length1

Characters and Unicode

Total characters12823
Distinct characters772
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1861 ?
Unique (%)94.2%

Sample

1st row아하식당
2nd row충청도식당
3rd row여수오동도
4th row구운집(雲集)
5th row우일각식당
ValueCountFrequency (%)
인천논현점 20
 
0.9%
구월점 16
 
0.7%
만수점 8
 
0.4%
김밥천국 8
 
0.4%
간석점 6
 
0.3%
논현점 6
 
0.3%
서창점 6
 
0.3%
인천구월점 6
 
0.3%
페리카나치킨 5
 
0.2%
인천시청점 4
 
0.2%
Other values (2051) 2158
96.2%
2023-12-12T18:39:46.385195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 420
 
3.3%
267
 
2.1%
이 231
 
1.8%
구 195
 
1.5%
천 171
 
1.3%
인 167
 
1.3%
수 160
 
1.2%
리 158
 
1.2%
( 156
 
1.2%
) 156
 
1.2%
Other values (762) 10742
83.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11458
89.4%
Lowercase Letter 321
 
2.5%
Space Separator 267
 
2.1%
Decimal Number 215
 
1.7%
Uppercase Letter 195
 
1.5%
Open Punctuation 156
 
1.2%
Close Punctuation 156
 
1.2%
Other Punctuation 52
 
0.4%
Math Symbol 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 420
 
3.7%
이 231
 
2.0%
구 195
 
1.7%
천 171
 
1.5%
인 167
 
1.5%
수 160
 
1.4%
리 158
 
1.4%
스 144
 
1.3%
식 143
 
1.2%
치 136
 
1.2%
Other values (688) 9533
83.2%
Lowercase Letter
ValueCountFrequency (%)
e 53
16.5%
o 38
11.8%
a 27
 
8.4%
s 22
 
6.9%
n 18
 
5.6%
r 18
 
5.6%
l 16
 
5.0%
t 16
 
5.0%
i 14
 
4.4%
f 13
 
4.0%
Other values (16) 86
26.8%
Uppercase Letter
ValueCountFrequency (%)
B 27
13.8%
A 15
 
7.7%
O 15
 
7.7%
C 14
 
7.2%
R 12
 
6.2%
E 12
 
6.2%
H 11
 
5.6%
S 11
 
5.6%
G 8
 
4.1%
M 8
 
4.1%
Other values (15) 62
31.8%
Decimal Number
ValueCountFrequency (%)
1 47
21.9%
0 39
18.1%
3 28
13.0%
2 17
 
7.9%
8 17
 
7.9%
4 15
 
7.0%
9 14
 
6.5%
7 14
 
6.5%
6 13
 
6.0%
5 11
 
5.1%
Other Punctuation
ValueCountFrequency (%)
& 26
50.0%
. 15
28.8%
' 6
 
11.5%
, 2
 
3.8%
＆ 1
 
1.9%
· 1
 
1.9%
/ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
267
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11447
89.3%
Common 848
 
6.6%
Latin 517
 
4.0%
Han 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 420
 
3.7%
이 231
 
2.0%
구 195
 
1.7%
천 171
 
1.5%
인 167
 
1.5%
수 160
 
1.4%
리 158
 
1.4%
스 144
 
1.3%
식 143
 
1.2%
치 136
 
1.2%
Other values (679) 9522
83.2%
Latin
ValueCountFrequency (%)
e 53
 
10.3%
o 38
 
7.4%
a 27
 
5.2%
B 27
 
5.2%
s 22
 
4.3%
n 18
 
3.5%
r 18
 
3.5%
l 16
 
3.1%
t 16
 
3.1%
A 15
 
2.9%
Other values (42) 267
51.6%
Common
ValueCountFrequency (%)
267
31.5%
( 156
18.4%
) 156
18.4%
1 47
 
5.5%
0 39
 
4.6%
3 28
 
3.3%
& 26
 
3.1%
2 17
 
2.0%
8 17
 
2.0%
. 15
 
1.8%
Other values (12) 80
 
9.4%
Han
ValueCountFrequency (%)
時 2
18.2%
辛 2
18.2%
珍 1
9.1%
味 1
9.1%
長 1
9.1%
屋 1
9.1%
酒 1
9.1%
集 1
9.1%
雲 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11447
89.3%
ASCII 1362
 
10.6%
CJK 11
 
0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 420
 
3.7%
이 231
 
2.0%
구 195
 
1.7%
천 171
 
1.5%
인 167
 
1.5%
수 160
 
1.4%
리 158
 
1.4%
스 144
 
1.3%
식 143
 
1.2%
치 136
 
1.2%
Other values (679) 9522
83.2%
ASCII
ValueCountFrequency (%)
267
19.6%
( 156
 
11.5%
) 156
 
11.5%
e 53
 
3.9%
1 47
 
3.5%
0 39
 
2.9%
o 38
 
2.8%
3 28
 
2.1%
a 27
 
2.0%
B 27
 
2.0%
Other values (61) 524
38.5%
CJK
ValueCountFrequency (%)
時 2
18.2%
辛 2
18.2%
珍 1
9.1%
味 1
9.1%
長 1
9.1%
屋 1
9.1%
酒 1
9.1%
集 1
9.1%
雲 1
9.1%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(도로명)
Text

Distinct1948
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2023-12-12T18:39:46.898642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length57
Mean length35.78998
Min length21

Characters and Unicode

Total characters70721
Distinct characters362
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

Unique1922 ?
Unique (%)97.3%

Sample

1st row인천광역시 남동구 장자로51번길 22, 103,104,105호 (장수동)
2nd row인천광역시 남동구 장도로 73-1 (논현동)
3rd row인천광역시 남동구 장도로 86-5, 1층 (논현동)
4th row인천광역시 남동구 석정로477번길 4-3 (간석동)
5th row인천광역시 남동구 만수로27번길 4-9 (만수동)
ValueCountFrequency (%)
인천광역시 1976
 
14.5%
남동구 1976
 
14.5%
1층 1183
 
8.7%
구월동 608
 
4.5%
일부호 349
 
2.6%
간석동 324
 
2.4%
논현동 320
 
2.3%
만수동 310
 
2.3%
2층 177
 
1.3%
1층일부 110
 
0.8%
Other values (1917) 6291
46.2%
2023-12-12T18:39:47.556387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11653
 
16.5%
동 4231
 
6.0%
1 3986
 
5.6%
구 2986
 
4.2%
, 2352
 
3.3%
남 2352
 
3.3%
인 2229
 
3.2%
( 2177
 
3.1%
) 2176
 
3.1%
로 2105
 
3.0%
Other values (352) 34474
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39562
55.9%
Decimal Number 12176
 
17.2%
Space Separator 11653
 
16.5%
Other Punctuation 2358
 
3.3%
Open Punctuation 2177
 
3.1%
Close Punctuation 2176
 
3.1%
Dash Punctuation 382
 
0.5%
Uppercase Letter 178
 
0.3%
Math Symbol 48
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4231
 
10.7%
구 2986
 
7.5%
남 2352
 
5.9%
인 2229
 
5.6%
로 2105
 
5.3%
천 2057
 
5.2%
역 2042
 
5.2%
시 2036
 
5.1%
광 1991
 
5.0%
층 1720
 
4.3%
Other values (303) 15813
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 41
23.0%
B 24
13.5%
C 18
10.1%
V 14
 
7.9%
P 12
 
6.7%
S 9
 
5.1%
I 9
 
5.1%
O 8
 
4.5%
L 7
 
3.9%
T 7
 
3.9%
Other values (11) 29
16.3%
Decimal Number
ValueCountFrequency (%)
1 3986
32.7%
2 1661
13.6%
0 1135
 
9.3%
3 1056
 
8.7%
4 854
 
7.0%
6 822
 
6.8%
5 796
 
6.5%
7 644
 
5.3%
8 618
 
5.1%
9 604
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
20.0%
b 1
10.0%
c 1
10.0%
w 1
10.0%
e 1
10.0%
r 1
10.0%
o 1
10.0%
l 1
10.0%
a 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 2352
99.7%
& 4
 
0.2%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
11653
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%
Math Symbol
ValueCountFrequency (%)
~ 48
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39562
55.9%
Common 30970
43.8%
Latin 189
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4231
 
10.7%
구 2986
 
7.5%
남 2352
 
5.9%
인 2229
 
5.6%
로 2105
 
5.3%
천 2057
 
5.2%
역 2042
 
5.2%
시 2036
 
5.1%
광 1991
 
5.0%
층 1720
 
4.3%
Other values (303) 15813
40.0%
Latin
ValueCountFrequency (%)
A 41
21.7%
B 24
12.7%
C 18
9.5%
V 14
 
7.4%
P 12
 
6.3%
S 9
 
4.8%
I 9
 
4.8%
O 8
 
4.2%
L 7
 
3.7%
T 7
 
3.7%
Other values (21) 40
21.2%
Common
ValueCountFrequency (%)
11653
37.6%
1 3986
 
12.9%
, 2352
 
7.6%
( 2177
 
7.0%
) 2176
 
7.0%
2 1661
 
5.4%
0 1135
 
3.7%
3 1056
 
3.4%
4 854
 
2.8%
6 822
 
2.7%
Other values (8) 3098
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39562
55.9%
ASCII 31158
44.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11653
37.4%
1 3986
 
12.8%
, 2352
 
7.5%
( 2177
 
7.0%
) 2176
 
7.0%
2 1661
 
5.3%
0 1135
 
3.6%
3 1056
 
3.4%
4 854
 
2.7%
6 822
 
2.6%
Other values (38) 3286
 
10.5%
Hangul
ValueCountFrequency (%)
동 4231
 
10.7%
구 2986
 
7.5%
남 2352
 
5.9%
인 2229
 
5.6%
로 2105
 
5.3%
천 2057
 
5.2%
역 2042
 
5.2%
시 2036
 
5.1%
광 1991
 
5.0%
층 1720
 
4.3%
Other values (303) 15813
40.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1937
Distinct (%)98.1%
Missing1
Missing (%)0.1%
Memory size15.6 KiB
2023-12-12T18:39:48.031672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length51
Mean length29.273924
Min length17

Characters and Unicode

Total characters57816
Distinct characters355
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

Unique1902 ?
Unique (%)96.3%

Sample

1st row인천광역시 남동구 장수동 775-3 103,104,105호
2nd row인천광역시 남동구 논현동 111-144
3rd row인천광역시 남동구 논현동 111-82 1층
4th row인천광역시 남동구 간석동 616-53
5th row인천광역시 남동구 만수동 868-38
ValueCountFrequency (%)
인천광역시 1975
17.6%
남동구 1975
17.6%
구월동 676
 
6.0%
1층 517
 
4.6%
간석동 377
 
3.4%
만수동 360
 
3.2%
1층일부 356
 
3.2%
논현동 338
 
3.0%
일부 113
 
1.0%
2층 102
 
0.9%
Other values (2527) 4455
39.6%
2023-12-12T18:39:48.669738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11056
19.1%
1 4519
 
7.8%
동 4087
 
7.1%
구 2712
 
4.7%
남 2044
 
3.5%
시 2031
 
3.5%
인 2026
 
3.5%
광 1991
 
3.4%
천 1987
 
3.4%
역 1975
 
3.4%
Other values (345) 23388
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30418
52.6%
Decimal Number 13419
23.2%
Space Separator 11056
 
19.1%
Dash Punctuation 1801
 
3.1%
Open Punctuation 306
 
0.5%
Close Punctuation 305
 
0.5%
Other Punctuation 305
 
0.5%
Uppercase Letter 167
 
0.3%
Math Symbol 32
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4087
13.4%
구 2712
 
8.9%
남 2044
 
6.7%
시 2031
 
6.7%
인 2026
 
6.7%
광 1991
 
6.5%
천 1987
 
6.5%
역 1975
 
6.5%
층 1358
 
4.5%
호 892
 
2.9%
Other values (300) 9315
30.6%
Uppercase Letter
ValueCountFrequency (%)
A 35
21.0%
B 20
12.0%
C 17
10.2%
V 14
 
8.4%
P 11
 
6.6%
S 10
 
6.0%
I 9
 
5.4%
O 7
 
4.2%
L 7
 
4.2%
T 6
 
3.6%
Other values (9) 31
18.6%
Decimal Number
ValueCountFrequency (%)
1 4519
33.7%
2 1615
 
12.0%
0 1253
 
9.3%
3 1173
 
8.7%
6 1017
 
7.6%
4 1004
 
7.5%
5 789
 
5.9%
7 783
 
5.8%
9 714
 
5.3%
8 552
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
c 1
16.7%
b 1
16.7%
o 1
16.7%
w 1
16.7%
e 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 297
97.4%
& 4
 
1.3%
. 2
 
0.7%
/ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
11056
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1801
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30418
52.6%
Common 27224
47.1%
Latin 174
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4087
13.4%
구 2712
 
8.9%
남 2044
 
6.7%
시 2031
 
6.7%
인 2026
 
6.7%
광 1991
 
6.5%
천 1987
 
6.5%
역 1975
 
6.5%
층 1358
 
4.5%
호 892
 
2.9%
Other values (300) 9315
30.6%
Latin
ValueCountFrequency (%)
A 35
20.1%
B 20
11.5%
C 17
9.8%
V 14
 
8.0%
P 11
 
6.3%
S 10
 
5.7%
I 9
 
5.2%
O 7
 
4.0%
L 7
 
4.0%
T 6
 
3.4%
Other values (16) 38
21.8%
Common
ValueCountFrequency (%)
11056
40.6%
1 4519
16.6%
- 1801
 
6.6%
2 1615
 
5.9%
0 1253
 
4.6%
3 1173
 
4.3%
6 1017
 
3.7%
4 1004
 
3.7%
5 789
 
2.9%
7 783
 
2.9%
Other values (9) 2214
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30418
52.6%
ASCII 27397
47.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11056
40.4%
1 4519
16.5%
- 1801
 
6.6%
2 1615
 
5.9%
0 1253
 
4.6%
3 1173
 
4.3%
6 1017
 
3.7%
4 1004
 
3.7%
5 789
 
2.9%
7 783
 
2.9%
Other values (34) 2387
 
8.7%
Hangul
ValueCountFrequency (%)
동 4087
13.4%
구 2712
 
8.9%
남 2044
 
6.7%
시 2031
 
6.7%
인 2026
 
6.7%
광 1991
 
6.5%
천 1987
 
6.5%
역 1975
 
6.5%
층 1358
 
4.5%
호 892
 
2.9%
Other values (300) 9315
30.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업장면적
Real number (ℝ)

Distinct1646
Distinct (%)83.5%
Missing5
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean86.971882
Minimum5
Maximum1603.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2023-12-12T18:39:48.872494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile23.1
Q137.86
median58.64
Q3101.4
95-th percentile221.08
Maximum1603.28
Range1598.28
Interquartile range (IQR)63.54

Descriptive statistics

Standard deviation98.846692
Coefficient of variation (CV)1.1365362
Kurtosis71.475586
Mean86.971882
Median Absolute Deviation (MAD)26.27
Skewness6.4751263
Sum171421.58
Variance9770.6685
MonotonicityNot monotonic
2023-12-12T18:39:49.083657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 10
 
0.5%
45.0 9
 
0.5%
39.6 7
 
0.4%
49.5 5
 
0.3%
60.0 5
 
0.3%
23.1 5
 
0.3%
31.5 5
 
0.3%
48.56 5
 
0.3%
44.8 5
 
0.3%
56.0 5
 
0.3%
Other values (1636) 1910
96.7%
(Missing) 5
 
0.3%
ValueCountFrequency (%)
5.0 1
 
0.1%
6.6 2
0.1%
9.24 1
 
0.1%
10.08 1
 
0.1%
10.5 1
 
0.1%
10.6 3
0.2%
10.62 1
 
0.1%
10.79 1
 
0.1%
11.68 1
 
0.1%
12.37 1
 
0.1%
ValueCountFrequency (%)
1603.28 1
0.1%
1588.7 1
0.1%
1081.5 1
0.1%
1008.75 1
0.1%
900.0 1
0.1%
755.7 1
0.1%
692.28 1
0.1%
674.4 1
0.1%
656.03 1
0.1%
649.6 1
0.1%

소재지전화
Text

MISSING 

Distinct1040
Distinct (%)99.4%
Missing930
Missing (%)47.1%
Memory size15.6 KiB
2023-12-12T18:39:49.384060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.010516
Min length9

Characters and Unicode

Total characters12563
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

Unique1034 ?
Unique (%)98.9%

Sample

1st row032-432-7879
2nd row032-446-9933
3rd row032-866-1273
4th row032-428-0425
5th row032-464-2559
ValueCountFrequency (%)
032-454-8363 2
 
0.2%
032-435-6126 2
 
0.2%
032-441-9988 2
 
0.2%
032-422-9295 2
 
0.2%
032-446-9331 2
 
0.2%
032-466-4991 2
 
0.2%
032-433-7892 1
 
0.1%
032-208-5203 1
 
0.1%
032-446-9872 1
 
0.1%
032-467-5522 1
 
0.1%
Other values (1030) 1030
98.5%
2023-12-12T18:39:49.835605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2090
16.6%
2 1999
15.9%
3 1758
14.0%
0 1554
12.4%
4 1467
11.7%
6 848
6.7%
7 622
 
5.0%
8 588
 
4.7%
1 586
 
4.7%
9 548
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10473
83.4%
Dash Punctuation 2090
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1999
19.1%
3 1758
16.8%
0 1554
14.8%
4 1467
14.0%
6 848
8.1%
7 622
 
5.9%
8 588
 
5.6%
1 586
 
5.6%
9 548
 
5.2%
5 503
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 2090
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12563
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2090
16.6%
2 1999
15.9%
3 1758
14.0%
0 1554
12.4%
4 1467
11.7%
6 848
6.7%
7 622
 
5.0%
8 588
 
4.7%
1 586
 
4.7%
9 548
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12563
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2090
16.6%
2 1999
15.9%
3 1758
14.0%
0 1554
12.4%
4 1467
11.7%
6 848
6.7%
7 622
 
5.0%
8 588
 
4.7%
1 586
 
4.7%
9 548
 
4.4%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
한식
1976 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 1976
100.0%

Length

2023-12-12T18:39:49.997670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:50.125469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 1976
100.0%

Interactions

2023-12-12T18:39:44.266659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T18:39:44.440897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:39:44.617330image/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.
2023-12-12T18:39:44.758815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화업태명
0일반음식점1978-02-23아하식당인천광역시 남동구 장자로51번길 22, 103,104,105호 (장수동)인천광역시 남동구 장수동 775-3 103,104,105호132.0032-432-7879한식
1일반음식점1980-01-01충청도식당인천광역시 남동구 장도로 73-1 (논현동)인천광역시 남동구 논현동 111-144<NA><NA>한식
2일반음식점1980-01-01여수오동도인천광역시 남동구 장도로 86-5, 1층 (논현동)인천광역시 남동구 논현동 111-82 1층<NA>032-446-9933한식
3일반음식점1980-02-26구운집(雲集)인천광역시 남동구 석정로477번길 4-3 (간석동)인천광역시 남동구 간석동 616-5326.27032-866-1273한식
4일반음식점1980-07-07우일각식당인천광역시 남동구 만수로27번길 4-9 (만수동)인천광역시 남동구 만수동 868-38<NA><NA>한식
5일반음식점1980-09-03병천진순대인천광역시 남동구 남동대로 895 (간석동)인천광역시 남동구 간석동 283-1376.32032-428-0425한식
6일반음식점1983-04-25관포삼겹살인천광역시 남동구 백범로169번길 17, 1층 (만수동)인천광역시 남동구 만수동 882-14 1층일부44.54032-464-2559한식
7일반음식점1983-08-11부암갈비인천광역시 남동구 용천로 149 (간석동, 105호,106호,107호)인천광역시 남동구 간석동 130-12 105호,106호,107호89.25032-425-5538한식
8일반음식점1984-09-12수림공원인천광역시 남동구 주안로 269, A동 1, 2, 3층 전부호 (간석동)인천광역시 남동구 간석동 383-11603.28032-424-3000한식
9일반음식점1984-10-10토인인천광역시 남동구 구월남로 269, 1층 일부호 (구월동)인천광역시 남동구 구월동 1271-23 1층일부21.76032-468-8669한식
업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적소재지전화업태명
1966일반음식점2023-04-14준(샾22)인천광역시 남동구 백범로 307, 1층 일부호 (간석동)인천광역시 남동구 간석동 22-8 1층일부32.52<NA>한식
1967일반음식점2023-04-24한스비스트로인천광역시 남동구 남동대로 784, 2층 일부호 (구월동)인천광역시 남동구 구월동 1199-9 2층 일부59.4<NA>한식
1968일반음식점2023-04-25태균네식당인천광역시 남동구 호구포로764번길 60, 1층 105호 (구월동, 신화화인빌아파트)인천광역시 남동구 구월동 1298 1층 105호49.68<NA>한식
1969일반음식점2023-04-27놀놀숯닭갈비인천광역시 남동구 석산로 119, 1층 일부호 (간석동)인천광역시 남동구 간석동 341-4 1층 일부호(가운데)52.92<NA>한식
1970일반음식점2023-04-27이리오꼬인천광역시 남동구 용천로17번길 50-22, 지하1층 지하1호 (구월동, 이화빌라)인천광역시 남동구 구월동 1213-40 이화빌라 지하1층 지하1호51.43<NA>한식
1971일반음식점2023-04-27천미향 양꼬치인천광역시 남동구 백범로360번길 15, 1층 일부호 (간석동)인천광역시 남동구 간석동 102-9 1층 일부호76.8<NA>한식
1972일반음식점2023-05-01파스타 집이야인천광역시 남동구 예술로226번길 18, VIP오피스텔 지하1층 제비01호, 제비02호(주방14호)호 (구월동)인천광역시 남동구 구월동 1134-10 VIP오피스텔 지하1층 제비01호, 제비02호(주방14호)13.04<NA>한식
1973일반음식점2023-05-03한솥도시락 인천논현 라피에스타점인천광역시 남동구 논고개로 61, 라피에스타 1층 117호 (논현동)인천광역시 남동구 논현동 747-1 라피에스타 1층 117호52.07<NA>한식
1974일반음식점2023-05-08시쿠은제마인천광역시 남동구 구월로115번길 66, 1층, 2층 일부호 (간석동)인천광역시 남동구 간석동 459-14 1층, 2층 일부172.5<NA>한식
1975일반음식점2023-05-10고기미담 구월점인천광역시 남동구 인주대로763번길 58-1, 1층 일부호 (구월동)인천광역시 남동구 구월동 1302-6 1층 일부호61.02<NA>한식