Overview

Dataset statistics

Number of variables6
Number of observations1431
Missing cells989
Missing cells (%)11.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.6 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 부평구 휴게음식점 데이터입니다.(업종명,업소명,소재지(도로명),소재지(지번),소재지전화)휴게음식점,씨제이프레시웨이 인천성모병원점 공차,인천광역시 부평구 동수로 56 가톨릭대학교인천성모병원 4동 뇌병원 지하1층 6호 (부평동),인천광역시 부평구 부평동 665-8 외9필지 가톨릭대학교인천성모병원 4동 뇌병원 지하1층 6호,032-507-7612
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3078683&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지전화 has 989 (69.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:20:02.207345
Analysis finished2024-01-28 16:20:03.077371
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1431
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716
Minimum1
Maximum1431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-01-29T01:20:03.129965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.5
Q1358.5
median716
Q31073.5
95-th percentile1359.5
Maximum1431
Range1430
Interquartile range (IQR)715

Descriptive statistics

Standard deviation413.23843
Coefficient of variation (CV)0.57714865
Kurtosis-1.2
Mean716
Median Absolute Deviation (MAD)358
Skewness0
Sum1024596
Variance170766
MonotonicityStrictly increasing
2024-01-29T01:20:03.234957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
941 1
 
0.1%
961 1
 
0.1%
960 1
 
0.1%
959 1
 
0.1%
958 1
 
0.1%
957 1
 
0.1%
956 1
 
0.1%
955 1
 
0.1%
954 1
 
0.1%
Other values (1421) 1421
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1431 1
0.1%
1430 1
0.1%
1429 1
0.1%
1428 1
0.1%
1427 1
0.1%
1426 1
0.1%
1425 1
0.1%
1424 1
0.1%
1423 1
0.1%
1422 1
0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
휴게음식점
1431 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 1431
100.0%

Length

2024-01-29T01:20:03.335600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:20:03.407954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1431
100.0%

업소명
Text

Distinct1397
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-01-29T01:20:03.589052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.8134172
Min length2

Characters and Unicode

Total characters12612
Distinct characters638
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1367 ?
Unique (%)95.5%

Sample

1st row승희다방
2nd row엘쿡(LCOOK)
3rd row오성다방
4th row삼성다방
5th row구구다방
ValueCountFrequency (%)
세븐일레븐 69
 
3.3%
씨유 57
 
2.7%
메가엠지씨커피 27
 
1.3%
컴포즈커피 27
 
1.3%
지에스25 26
 
1.2%
이마트24 25
 
1.2%
부평점 22
 
1.1%
더벤티 15
 
0.7%
이디야커피 14
 
0.7%
coffee 12
 
0.6%
Other values (1466) 1790
85.9%
2024-01-29T01:20:03.908370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 712
 
5.6%
653
 
5.2%
부 531
 
4.2%
평 428
 
3.4%
스 299
 
2.4%
피 276
 
2.2%
이 266
 
2.1%
커 226
 
1.8%
븐 178
 
1.4%
( 177
 
1.4%
Other values (628) 8866
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10279
81.5%
Space Separator 653
 
5.2%
Uppercase Letter 518
 
4.1%
Lowercase Letter 411
 
3.3%
Decimal Number 357
 
2.8%
Open Punctuation 177
 
1.4%
Close Punctuation 177
 
1.4%
Other Punctuation 31
 
0.2%
Connector Punctuation 4
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 712
 
6.9%
부 531
 
5.2%
평 428
 
4.2%
스 299
 
2.9%
피 276
 
2.7%
이 266
 
2.6%
커 226
 
2.2%
븐 178
 
1.7%
산 173
 
1.7%
천 166
 
1.6%
Other values (559) 7024
68.3%
Lowercase Letter
ValueCountFrequency (%)
e 82
20.0%
f 44
10.7%
a 43
10.5%
c 33
 
8.0%
o 30
 
7.3%
i 18
 
4.4%
n 18
 
4.4%
t 16
 
3.9%
l 16
 
3.9%
d 15
 
3.6%
Other values (14) 96
23.4%
Uppercase Letter
ValueCountFrequency (%)
C 75
14.5%
S 47
 
9.1%
G 42
 
8.1%
E 41
 
7.9%
O 38
 
7.3%
P 31
 
6.0%
F 27
 
5.2%
A 27
 
5.2%
U 22
 
4.2%
R 19
 
3.7%
Other values (13) 149
28.8%
Decimal Number
ValueCountFrequency (%)
2 137
38.4%
5 85
23.8%
4 41
 
11.5%
1 31
 
8.7%
3 20
 
5.6%
9 19
 
5.3%
0 12
 
3.4%
8 6
 
1.7%
6 5
 
1.4%
7 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 12
38.7%
& 8
25.8%
. 4
 
12.9%
: 3
 
9.7%
! 2
 
6.5%
' 2
 
6.5%
Space Separator
ValueCountFrequency (%)
653
100.0%
Open Punctuation
ValueCountFrequency (%)
( 177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 177
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10278
81.5%
Common 1404
 
11.1%
Latin 929
 
7.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 712
 
6.9%
부 531
 
5.2%
평 428
 
4.2%
스 299
 
2.9%
피 276
 
2.7%
이 266
 
2.6%
커 226
 
2.2%
븐 178
 
1.7%
산 173
 
1.7%
천 166
 
1.6%
Other values (558) 7023
68.3%
Latin
ValueCountFrequency (%)
e 82
 
8.8%
C 75
 
8.1%
S 47
 
5.1%
f 44
 
4.7%
a 43
 
4.6%
G 42
 
4.5%
E 41
 
4.4%
O 38
 
4.1%
c 33
 
3.6%
P 31
 
3.3%
Other values (37) 453
48.8%
Common
ValueCountFrequency (%)
653
46.5%
( 177
 
12.6%
) 177
 
12.6%
2 137
 
9.8%
5 85
 
6.1%
4 41
 
2.9%
1 31
 
2.2%
3 20
 
1.4%
9 19
 
1.4%
, 12
 
0.9%
Other values (12) 52
 
3.7%
Han
ValueCountFrequency (%)
貞 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10278
81.5%
ASCII 2332
 
18.5%
Letterlike Symbols 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 712
 
6.9%
부 531
 
5.2%
평 428
 
4.2%
스 299
 
2.9%
피 276
 
2.7%
이 266
 
2.6%
커 226
 
2.2%
븐 178
 
1.7%
산 173
 
1.7%
천 166
 
1.6%
Other values (558) 7023
68.3%
ASCII
ValueCountFrequency (%)
653
28.0%
( 177
 
7.6%
) 177
 
7.6%
2 137
 
5.9%
5 85
 
3.6%
e 82
 
3.5%
C 75
 
3.2%
S 47
 
2.0%
f 44
 
1.9%
a 43
 
1.8%
Other values (58) 812
34.8%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK
ValueCountFrequency (%)
貞 1
100.0%

소재지(도로명)
Text

Distinct1411
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-01-29T01:20:04.145684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length59
Mean length36.468204
Min length9

Characters and Unicode

Total characters52186
Distinct characters378
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1397 ?
Unique (%)97.6%

Sample

1st row인천광역시 부평구 부평대로 118 (부평동)
2nd row인천광역시 부평구 부평문화로80번길 23 (부평동)
3rd row인천광역시 부평구 마장로459번길 2, 2층 (청천동)
4th row인천광역시 부평구 경인로 1061-1 (부개동,,301-34)
5th row인천광역시 부평구 마장로 419 (청천동)
ValueCountFrequency (%)
부평구 1427
 
13.6%
인천광역시 1427
 
13.6%
1층 858
 
8.2%
부평동 542
 
5.2%
일부호 374
 
3.6%
십정동 153
 
1.5%
일부 148
 
1.4%
산곡동 128
 
1.2%
청천동 126
 
1.2%
부개동 123
 
1.2%
Other values (1595) 5192
49.5%
2024-01-29T01:20:04.519594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9076
 
17.4%
부 3295
 
6.3%
1 2822
 
5.4%
평 2406
 
4.6%
동 1777
 
3.4%
, 1694
 
3.2%
천 1684
 
3.2%
인 1542
 
3.0%
시 1500
 
2.9%
광 1489
 
2.9%
Other values (368) 24901
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29781
57.1%
Space Separator 9076
 
17.4%
Decimal Number 8085
 
15.5%
Other Punctuation 1699
 
3.3%
Close Punctuation 1461
 
2.8%
Open Punctuation 1461
 
2.8%
Uppercase Letter 399
 
0.8%
Dash Punctuation 188
 
0.4%
Math Symbol 23
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3295
 
11.1%
평 2406
 
8.1%
동 1777
 
6.0%
천 1684
 
5.7%
인 1542
 
5.2%
시 1500
 
5.0%
광 1489
 
5.0%
역 1483
 
5.0%
로 1450
 
4.9%
구 1444
 
4.8%
Other values (316) 11711
39.3%
Uppercase Letter
ValueCountFrequency (%)
E 64
16.0%
B 40
10.0%
A 40
10.0%
C 38
9.5%
R 34
8.5%
N 27
 
6.8%
T 27
 
6.8%
U 22
 
5.5%
I 18
 
4.5%
P 12
 
3.0%
Other values (13) 77
19.3%
Decimal Number
ValueCountFrequency (%)
1 2822
34.9%
2 995
 
12.3%
0 846
 
10.5%
3 717
 
8.9%
4 600
 
7.4%
6 541
 
6.7%
5 475
 
5.9%
7 387
 
4.8%
9 366
 
4.5%
8 336
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
i 2
16.7%
y 2
16.7%
t 2
16.7%
r 1
 
8.3%
s 1
 
8.3%
k 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 1694
99.7%
. 3
 
0.2%
＆ 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 15
65.2%
< 4
 
17.4%
> 4
 
17.4%
Space Separator
ValueCountFrequency (%)
9076
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1461
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29781
57.1%
Common 21993
42.1%
Latin 412
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3295
 
11.1%
평 2406
 
8.1%
동 1777
 
6.0%
천 1684
 
5.7%
인 1542
 
5.2%
시 1500
 
5.0%
광 1489
 
5.0%
역 1483
 
5.0%
로 1450
 
4.9%
구 1444
 
4.8%
Other values (316) 11711
39.3%
Latin
ValueCountFrequency (%)
E 64
15.5%
B 40
9.7%
A 40
9.7%
C 38
9.2%
R 34
 
8.3%
N 27
 
6.6%
T 27
 
6.6%
U 22
 
5.3%
I 18
 
4.4%
P 12
 
2.9%
Other values (21) 90
21.8%
Common
ValueCountFrequency (%)
9076
41.3%
1 2822
 
12.8%
, 1694
 
7.7%
) 1461
 
6.6%
( 1461
 
6.6%
2 995
 
4.5%
0 846
 
3.8%
3 717
 
3.3%
4 600
 
2.7%
6 541
 
2.5%
Other values (11) 1780
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29781
57.1%
ASCII 22402
42.9%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9076
40.5%
1 2822
 
12.6%
, 1694
 
7.6%
) 1461
 
6.5%
( 1461
 
6.5%
2 995
 
4.4%
0 846
 
3.8%
3 717
 
3.2%
4 600
 
2.7%
6 541
 
2.4%
Other values (39) 2189
 
9.8%
Hangul
ValueCountFrequency (%)
부 3295
 
11.1%
평 2406
 
8.1%
동 1777
 
6.0%
천 1684
 
5.7%
인 1542
 
5.2%
시 1500
 
5.0%
광 1489
 
5.0%
역 1483
 
5.0%
로 1450
 
4.9%
구 1444
 
4.8%
Other values (316) 11711
39.3%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1397
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-01-29T01:20:04.802658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length29.375262
Min length18

Characters and Unicode

Total characters42036
Distinct characters359
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1370 ?
Unique (%)95.7%

Sample

1st row인천광역시 부평구 부평동 431-34
2nd row인천광역시 부평구 부평동 193-8
3rd row인천광역시 부평구 청천동 14-18 2층
4th row인천광역시 부평구 부개동 301-33 ,301-34
5th row인천광역시 부평구 청천동 168-2
ValueCountFrequency (%)
인천광역시 1431
 
16.7%
부평구 1431
 
16.7%
부평동 583
 
6.8%
1층 492
 
5.7%
일부 302
 
3.5%
십정동 165
 
1.9%
청천동 143
 
1.7%
산곡동 140
 
1.6%
부개동 133
 
1.6%
삼산동 124
 
1.4%
Other values (1798) 3617
42.2%
2024-01-29T01:20:05.202373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8318
19.8%
부 2753
 
6.5%
1 2696
 
6.4%
평 2177
 
5.2%
동 1638
 
3.9%
천 1620
 
3.9%
인 1486
 
3.5%
역 1485
 
3.5%
시 1471
 
3.5%
구 1448
 
3.4%
Other values (349) 16944
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22815
54.3%
Decimal Number 8942
 
21.3%
Space Separator 8318
 
19.8%
Dash Punctuation 1325
 
3.2%
Uppercase Letter 358
 
0.9%
Other Punctuation 190
 
0.5%
Close Punctuation 31
 
0.1%
Open Punctuation 31
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2753
12.1%
평 2177
 
9.5%
동 1638
 
7.2%
천 1620
 
7.1%
인 1486
 
6.5%
역 1485
 
6.5%
시 1471
 
6.4%
구 1448
 
6.3%
광 1440
 
6.3%
층 752
 
3.3%
Other values (300) 6545
28.7%
Uppercase Letter
ValueCountFrequency (%)
E 55
15.4%
B 36
10.1%
A 36
10.1%
C 33
9.2%
R 30
8.4%
N 27
7.5%
T 27
7.5%
U 22
 
6.1%
I 17
 
4.7%
K 10
 
2.8%
Other values (13) 65
18.2%
Decimal Number
ValueCountFrequency (%)
1 2696
30.1%
2 1085
12.1%
0 895
 
10.0%
4 812
 
9.1%
3 789
 
8.8%
5 644
 
7.2%
7 542
 
6.1%
9 518
 
5.8%
6 481
 
5.4%
8 480
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
y 2
16.7%
t 2
16.7%
i 2
16.7%
r 1
 
8.3%
s 1
 
8.3%
k 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 188
98.9%
＆ 1
 
0.5%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
8318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22815
54.3%
Common 18850
44.8%
Latin 371
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2753
12.1%
평 2177
 
9.5%
동 1638
 
7.2%
천 1620
 
7.1%
인 1486
 
6.5%
역 1485
 
6.5%
시 1471
 
6.4%
구 1448
 
6.3%
광 1440
 
6.3%
층 752
 
3.3%
Other values (300) 6545
28.7%
Latin
ValueCountFrequency (%)
E 55
14.8%
B 36
9.7%
A 36
9.7%
C 33
8.9%
R 30
 
8.1%
N 27
 
7.3%
T 27
 
7.3%
U 22
 
5.9%
I 17
 
4.6%
K 10
 
2.7%
Other values (21) 78
21.0%
Common
ValueCountFrequency (%)
8318
44.1%
1 2696
 
14.3%
- 1325
 
7.0%
2 1085
 
5.8%
0 895
 
4.7%
4 812
 
4.3%
3 789
 
4.2%
5 644
 
3.4%
7 542
 
2.9%
9 518
 
2.7%
Other values (8) 1226
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22815
54.3%
ASCII 19218
45.7%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8318
43.3%
1 2696
 
14.0%
- 1325
 
6.9%
2 1085
 
5.6%
0 895
 
4.7%
4 812
 
4.2%
3 789
 
4.1%
5 644
 
3.4%
7 542
 
2.8%
9 518
 
2.7%
Other values (36) 1594
 
8.3%
Hangul
ValueCountFrequency (%)
부 2753
12.1%
평 2177
 
9.5%
동 1638
 
7.2%
천 1620
 
7.1%
인 1486
 
6.5%
역 1485
 
6.5%
시 1471
 
6.4%
구 1448
 
6.3%
광 1440
 
6.3%
층 752
 
3.3%
Other values (300) 6545
28.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%

소재지전화
Text

MISSING 

Distinct434
Distinct (%)98.2%
Missing989
Missing (%)69.1%
Memory size11.3 KiB
2024-01-29T01:20:05.432877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.970588
Min length12

Characters and Unicode

Total characters6175
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique427 ?
Unique (%)96.6%

Sample

1st row 032- 511-8808
2nd row 032- 523-8807
3rd row 032- 422-0742
4th row 032- 503-6432
5th row 032- 523-4279
ValueCountFrequency (%)
032 365
31.1%
070 42
 
3.6%
505 24
 
2.0%
515 16
 
1.4%
503 15
 
1.3%
330 14
 
1.2%
506 13
 
1.1%
502 13
 
1.1%
525 12
 
1.0%
501 10
 
0.9%
Other values (499) 650
55.4%
2024-01-29T01:20:05.768183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 899
14.6%
- 884
14.3%
822
13.3%
2 784
12.7%
3 718
11.6%
5 523
8.5%
1 361
5.8%
7 331
 
5.4%
8 243
 
3.9%
6 227
 
3.7%
Other values (2) 383
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4469
72.4%
Dash Punctuation 884
 
14.3%
Space Separator 822
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 899
20.1%
2 784
17.5%
3 718
16.1%
5 523
11.7%
1 361
8.1%
7 331
 
7.4%
8 243
 
5.4%
6 227
 
5.1%
4 211
 
4.7%
9 172
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%
Space Separator
ValueCountFrequency (%)
822
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 899
14.6%
- 884
14.3%
822
13.3%
2 784
12.7%
3 718
11.6%
5 523
8.5%
1 361
5.8%
7 331
 
5.4%
8 243
 
3.9%
6 227
 
3.7%
Other values (2) 383
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 899
14.6%
- 884
14.3%
822
13.3%
2 784
12.7%
3 718
11.6%
5 523
8.5%
1 361
5.8%
7 331
 
5.4%
8 243
 
3.9%
6 227
 
3.7%
Other values (2) 383
6.2%

Interactions

2024-01-29T01:20:02.875076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-29T01:20:02.967959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:20:03.045739image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01휴게음식점승희다방인천광역시 부평구 부평대로 118 (부평동)인천광역시 부평구 부평동 431-34<NA>
12휴게음식점엘쿡(LCOOK)인천광역시 부평구 부평문화로80번길 23 (부평동)인천광역시 부평구 부평동 193-8<NA>
23휴게음식점오성다방인천광역시 부평구 마장로459번길 2, 2층 (청천동)인천광역시 부평구 청천동 14-18 2층032- 511-8808
34휴게음식점삼성다방인천광역시 부평구 경인로 1061-1 (부개동,,301-34)인천광역시 부평구 부개동 301-33 ,301-34<NA>
45휴게음식점구구다방인천광역시 부평구 마장로 419 (청천동)인천광역시 부평구 청천동 168-2032- 523-8807
56휴게음식점길다방인천광역시 부평구 열우물로 119, 지하1층 (십정동)인천광역시 부평구 십정동 277-3 지하1층032- 422-0742
67휴게음식점전원다방인천광역시 부평구 동암남로 13 (십정동)인천광역시 부평구 십정동 514-22<NA>
78휴게음식점홍다방인천광역시 부평구 마장로 473 (청천동)인천광역시 부평구 청천동 13-50032- 503-6432
89휴게음식점만남다방인천광역시 부평구 경원대로 1436 (부평동)인천광역시 부평구 부평동 179-13<NA>
910휴게음식점삼능명다방인천광역시 부평구 부영로 4 (부평동)인천광역시 부평구 부평동 754-124032- 523-4279
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
14211422휴게음식점세븐일레븐신일점인천광역시 부평구 부평대로 138, 부평 신일유스테이션 오피스텔 1층 104(일부)호 (부평동)인천광역시 부평구 부평동 431-12 부평 신일유스테이션 오피스텔<NA>
14221423휴게음식점바른샾커피인천광역시 부평구 열우물로 75, 풍림빌딩 1층 일부 (십정동)인천광역시 부평구 십정동 297-77 풍림빌딩 1층 일부<NA>
14231424휴게음식점컴포즈커피 산곡역점인천광역시 부평구 마장로 320, 한화프라자 1층 107호 (산곡동)인천광역시 부평구 산곡동 100-80 한화프라자 1층 107호070 -4800-6666
14241425휴게음식점컴포즈커피 인천부평일신점인천광역시 부평구 경인로1104번길 23, 1층 일부, 동남빌딩 (일신동)인천광역시 부평구 일신동 106-8 동남빌딩032 -721 -5432
14251426휴게음식점오묘인천광역시 부평구 부일로113번길 29-4, 1층 일부 (부개동)인천광역시 부평구 부개동 491-7 1층 일부<NA>
14261427휴게음식점발도스커피 부흥오거리점인천광역시 부평구 장제로 150, 유진마젤란주상복합 1층 102호 (부평동)인천광역시 부평구 부평동 126-9 유진마젤란주상복합 1층 102호<NA>
14271428휴게음식점신호등탕후루인천광역시 부평구 부흥북로23번길 1, 1층 102호 (부평동)인천광역시 부평구 부평동 433-43<NA>
14281429휴게음식점만나꽈배기인천광역시 부평구 주부토로 287, 1층 일부 (갈산동)인천광역시 부평구 갈산동 114-6 1층 일부<NA>
14291430휴게음식점주식회사 행복생활에프앤비인천광역시 부평구 경원대로 1277, 2001아울렛부평점 지하1층 일부호 (산곡동)인천광역시 부평구 산곡동 311-151 2001아울렛부평점 지하1층 일부호032 -573 -4358
14301431휴게음식점(주)에벤에셀인천광역시 부평구 경원대로 1277, 2001아울렛부평점 지하1층 일부 (산곡동)인천광역시 부평구 산곡동 311-151 2001아울렛부평점 지하1층 일부031 -338 -7710