Overview

Dataset statistics

Number of variables6
Number of observations1389
Missing cells1091
Missing cells (%)13.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.6 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구 관내에 위치한 카페 및 커피숍 현황에 대한 데이터로 업소명, 도로명주소, 전화번호 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15100082/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 1086 (78.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:28:05.204710
Analysis finished2024-03-23 04:28:08.379129
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1389
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean695
Minimum1
Maximum1389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-03-23T04:28:08.615350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70.4
Q1348
median695
Q31042
95-th percentile1319.6
Maximum1389
Range1388
Interquartile range (IQR)694

Descriptive statistics

Standard deviation401.11407
Coefficient of variation (CV)0.57714255
Kurtosis-1.2
Mean695
Median Absolute Deviation (MAD)347
Skewness0
Sum965355
Variance160892.5
MonotonicityStrictly increasing
2024-03-23T04:28:09.112753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
924 1
 
0.1%
932 1
 
0.1%
931 1
 
0.1%
930 1
 
0.1%
929 1
 
0.1%
928 1
 
0.1%
927 1
 
0.1%
926 1
 
0.1%
925 1
 
0.1%
Other values (1379) 1379
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 (%)
1389 1
0.1%
1388 1
0.1%
1387 1
0.1%
1386 1
0.1%
1385 1
0.1%
1384 1
0.1%
1383 1
0.1%
1382 1
0.1%
1381 1
0.1%
1380 1
0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
휴게음식점
1389 

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 1389
100.0%

Length

2024-03-23T04:28:09.543011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:28:09.860638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1389
100.0%

업소명
Text

Distinct1354
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-03-23T04:28:10.352401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length8.6868251
Min length1

Characters and Unicode

Total characters12066
Distinct characters634
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1323 ?
Unique (%)95.2%

Sample

1st row정다방
2nd row동심다방
3rd row밀다방
4th row삼거리다방
5th row영다방
ValueCountFrequency (%)
씨유 90
 
3.9%
세븐일레븐 66
 
2.9%
지에스25 45
 
2.0%
카페 39
 
1.7%
메가엠지씨커피 22
 
1.0%
이마트24 22
 
1.0%
컴포즈커피 21
 
0.9%
주안점 17
 
0.7%
커피 17
 
0.7%
인하대점 17
 
0.7%
Other values (1520) 1923
84.4%
2024-03-23T04:28:11.946749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
890
 
7.4%
점 662
 
5.5%
스 316
 
2.6%
인 294
 
2.4%
이 263
 
2.2%
피 233
 
1.9%
주 206
 
1.7%
천 200
 
1.7%
커 187
 
1.5%
안 182
 
1.5%
Other values (624) 8633
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9669
80.1%
Space Separator 890
 
7.4%
Uppercase Letter 479
 
4.0%
Lowercase Letter 356
 
3.0%
Decimal Number 327
 
2.7%
Open Punctuation 155
 
1.3%
Close Punctuation 155
 
1.3%
Other Punctuation 33
 
0.3%
Dash Punctuation 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 662
 
6.8%
스 316
 
3.3%
인 294
 
3.0%
이 263
 
2.7%
피 233
 
2.4%
주 206
 
2.1%
천 200
 
2.1%
커 187
 
1.9%
안 182
 
1.9%
씨 157
 
1.6%
Other values (550) 6969
72.1%
Uppercase Letter
ValueCountFrequency (%)
C 69
14.4%
S 56
11.7%
G 43
 
9.0%
P 41
 
8.6%
E 28
 
5.8%
T 26
 
5.4%
A 26
 
5.4%
U 20
 
4.2%
R 19
 
4.0%
F 19
 
4.0%
Other values (15) 132
27.6%
Lowercase Letter
ValueCountFrequency (%)
e 56
15.7%
a 40
11.2%
o 28
 
7.9%
f 27
 
7.6%
c 26
 
7.3%
i 24
 
6.7%
n 17
 
4.8%
r 17
 
4.8%
u 15
 
4.2%
s 14
 
3.9%
Other values (15) 92
25.8%
Decimal Number
ValueCountFrequency (%)
2 131
40.1%
5 93
28.4%
4 32
 
9.8%
1 21
 
6.4%
9 13
 
4.0%
3 9
 
2.8%
0 9
 
2.8%
6 8
 
2.4%
7 7
 
2.1%
8 4
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 13
39.4%
& 8
24.2%
' 4
 
12.1%
. 4
 
12.1%
＆ 2
 
6.1%
: 1
 
3.0%
· 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 154
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 154
99.4%
] 1
 
0.6%
Space Separator
ValueCountFrequency (%)
890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9668
80.1%
Common 1562
 
12.9%
Latin 834
 
6.9%
Greek 1
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 662
 
6.8%
스 316
 
3.3%
인 294
 
3.0%
이 263
 
2.7%
피 233
 
2.4%
주 206
 
2.1%
천 200
 
2.1%
커 187
 
1.9%
안 182
 
1.9%
씨 157
 
1.6%
Other values (549) 6968
72.1%
Latin
ValueCountFrequency (%)
C 69
 
8.3%
S 56
 
6.7%
e 56
 
6.7%
G 43
 
5.2%
P 41
 
4.9%
a 40
 
4.8%
o 28
 
3.4%
E 28
 
3.4%
f 27
 
3.2%
T 26
 
3.1%
Other values (39) 420
50.4%
Common
ValueCountFrequency (%)
890
57.0%
( 154
 
9.9%
) 154
 
9.9%
2 131
 
8.4%
5 93
 
6.0%
4 32
 
2.0%
1 21
 
1.3%
, 13
 
0.8%
9 13
 
0.8%
3 9
 
0.6%
Other values (14) 52
 
3.3%
Greek
ValueCountFrequency (%)
α 1
100.0%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9668
80.1%
ASCII 2393
 
19.8%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
890
37.2%
( 154
 
6.4%
) 154
 
6.4%
2 131
 
5.5%
5 93
 
3.9%
C 69
 
2.9%
S 56
 
2.3%
e 56
 
2.3%
G 43
 
1.8%
P 41
 
1.7%
Other values (61) 706
29.5%
Hangul
ValueCountFrequency (%)
점 662
 
6.8%
스 316
 
3.3%
인 294
 
3.0%
이 263
 
2.7%
피 233
 
2.4%
주 206
 
2.1%
천 200
 
2.1%
커 187
 
1.9%
안 182
 
1.9%
씨 157
 
1.6%
Other values (549) 6968
72.1%
None
ValueCountFrequency (%)
＆ 2
50.0%
α 1
25.0%
· 1
25.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지(도로명)
Text

Distinct1326
Distinct (%)95.8%
Missing5
Missing (%)0.4%
Memory size11.0 KiB
2024-03-23T04:28:12.974560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length57
Mean length34.651734
Min length22

Characters and Unicode

Total characters47958
Distinct characters362
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1301 ?
Unique (%)94.0%

Sample

1st row인천광역시 미추홀구 참외전로 316 (숭의동)
2nd row인천광역시 미추홀구 독정이로 49 (숭의동)
3rd row인천광역시 미추홀구 경인로 66 (숭의동)
4th row인천광역시 미추홀구 경인로 382 (주안동)
5th row인천광역시 미추홀구 미추홀대로 690, 지하1층 (주안동)
ValueCountFrequency (%)
인천광역시 1384
 
15.0%
미추홀구 1384
 
15.0%
1층 519
 
5.6%
주안동 471
 
5.1%
용현동 339
 
3.7%
도화동 157
 
1.7%
숭의동 145
 
1.6%
지하1층 117
 
1.3%
경인로 112
 
1.2%
학익동 98
 
1.1%
Other values (1442) 4501
48.8%
2024-03-23T04:28:14.875398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7845
 
16.4%
1 2211
 
4.6%
인 1906
 
4.0%
동 1556
 
3.2%
미 1551
 
3.2%
홀 1549
 
3.2%
천 1491
 
3.1%
추 1490
 
3.1%
, 1416
 
3.0%
시 1415
 
3.0%
Other values (352) 25528
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28190
58.8%
Space Separator 7845
 
16.4%
Decimal Number 7285
 
15.2%
Other Punctuation 1424
 
3.0%
Open Punctuation 1403
 
2.9%
Close Punctuation 1403
 
2.9%
Dash Punctuation 189
 
0.4%
Uppercase Letter 137
 
0.3%
Lowercase Letter 51
 
0.1%
Math Symbol 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1906
 
6.8%
동 1556
 
5.5%
미 1551
 
5.5%
홀 1549
 
5.5%
천 1491
 
5.3%
추 1490
 
5.3%
시 1415
 
5.0%
구 1410
 
5.0%
역 1410
 
5.0%
광 1390
 
4.9%
Other values (300) 13022
46.2%
Uppercase Letter
ValueCountFrequency (%)
B 44
32.1%
A 17
 
12.4%
S 15
 
10.9%
K 7
 
5.1%
I 7
 
5.1%
C 7
 
5.1%
W 7
 
5.1%
E 7
 
5.1%
V 6
 
4.4%
J 5
 
3.6%
Other values (10) 15
 
10.9%
Lowercase Letter
ValueCountFrequency (%)
e 12
23.5%
y 6
11.8%
k 6
11.8%
u 4
 
7.8%
l 4
 
7.8%
o 3
 
5.9%
g 3
 
5.9%
v 3
 
5.9%
c 3
 
5.9%
d 2
 
3.9%
Other values (5) 5
9.8%
Decimal Number
ValueCountFrequency (%)
1 2211
30.4%
2 918
12.6%
3 807
 
11.1%
0 761
 
10.4%
4 561
 
7.7%
5 515
 
7.1%
8 418
 
5.7%
6 412
 
5.7%
7 380
 
5.2%
9 302
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 1416
99.4%
. 8
 
0.6%
Space Separator
ValueCountFrequency (%)
7845
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Math Symbol
ValueCountFrequency (%)
~ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28190
58.8%
Common 19580
40.8%
Latin 188
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1906
 
6.8%
동 1556
 
5.5%
미 1551
 
5.5%
홀 1549
 
5.5%
천 1491
 
5.3%
추 1490
 
5.3%
시 1415
 
5.0%
구 1410
 
5.0%
역 1410
 
5.0%
광 1390
 
4.9%
Other values (300) 13022
46.2%
Latin
ValueCountFrequency (%)
B 44
23.4%
A 17
 
9.0%
S 15
 
8.0%
e 12
 
6.4%
K 7
 
3.7%
I 7
 
3.7%
C 7
 
3.7%
W 7
 
3.7%
E 7
 
3.7%
V 6
 
3.2%
Other values (25) 59
31.4%
Common
ValueCountFrequency (%)
7845
40.1%
1 2211
 
11.3%
, 1416
 
7.2%
( 1403
 
7.2%
) 1403
 
7.2%
2 918
 
4.7%
3 807
 
4.1%
0 761
 
3.9%
4 561
 
2.9%
5 515
 
2.6%
Other values (7) 1740
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28190
58.8%
ASCII 19768
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7845
39.7%
1 2211
 
11.2%
, 1416
 
7.2%
( 1403
 
7.1%
) 1403
 
7.1%
2 918
 
4.6%
3 807
 
4.1%
0 761
 
3.8%
4 561
 
2.8%
5 515
 
2.6%
Other values (42) 1928
 
9.8%
Hangul
ValueCountFrequency (%)
인 1906
 
6.8%
동 1556
 
5.5%
미 1551
 
5.5%
홀 1549
 
5.5%
천 1491
 
5.3%
추 1490
 
5.3%
시 1415
 
5.0%
구 1410
 
5.0%
역 1410
 
5.0%
광 1390
 
4.9%
Other values (300) 13022
46.2%

소재지(지번)
Text

Distinct1234
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
2024-03-23T04:28:15.823447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length25.778978
Min length17

Characters and Unicode

Total characters35807
Distinct characters329
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1164 ?
Unique (%)83.8%

Sample

1st row인천광역시 미추홀구 주안동 1329-17
2nd row인천광역시 미추홀구 숭의동 421-12
3rd row인천광역시 미추홀구 주안동 201
4th row인천광역시 미추홀구 숭의동 129-77
5th row인천광역시 미추홀구 숭의동 285-4
ValueCountFrequency (%)
인천광역시 1389
20.2%
미추홀구 1389
20.2%
주안동 493
 
7.2%
용현동 348
 
5.1%
도화동 157
 
2.3%
숭의동 148
 
2.2%
1층 121
 
1.8%
학익동 102
 
1.5%
관교동 92
 
1.3%
15 61
 
0.9%
Other values (1532) 2560
37.3%
2024-03-23T04:28:17.858427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6667
18.6%
1 1755
 
4.9%
인 1526
 
4.3%
미 1486
 
4.2%
천 1481
 
4.1%
동 1471
 
4.1%
추 1425
 
4.0%
홀 1425
 
4.0%
시 1421
 
4.0%
역 1413
 
3.9%
Other values (319) 15737
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20742
57.9%
Decimal Number 6881
 
19.2%
Space Separator 6667
 
18.6%
Dash Punctuation 1164
 
3.3%
Other Punctuation 173
 
0.5%
Uppercase Letter 99
 
0.3%
Lowercase Letter 39
 
0.1%
Open Punctuation 16
 
< 0.1%
Close Punctuation 16
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1526
 
7.4%
미 1486
 
7.2%
천 1481
 
7.1%
동 1471
 
7.1%
추 1425
 
6.9%
홀 1425
 
6.9%
시 1421
 
6.9%
역 1413
 
6.8%
구 1399
 
6.7%
광 1395
 
6.7%
Other values (274) 6300
30.4%
Uppercase Letter
ValueCountFrequency (%)
B 19
19.2%
S 14
14.1%
A 10
10.1%
I 7
 
7.1%
E 7
 
7.1%
W 7
 
7.1%
K 7
 
7.1%
V 6
 
6.1%
J 5
 
5.1%
T 3
 
3.0%
Other values (8) 14
14.1%
Lowercase Letter
ValueCountFrequency (%)
e 10
25.6%
y 6
15.4%
k 6
15.4%
v 4
 
10.3%
g 4
 
10.3%
c 4
 
10.3%
r 1
 
2.6%
w 1
 
2.6%
o 1
 
2.6%
n 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 1755
25.5%
2 858
12.5%
6 616
 
9.0%
4 615
 
8.9%
0 609
 
8.9%
3 603
 
8.8%
5 596
 
8.7%
9 429
 
6.2%
8 421
 
6.1%
7 379
 
5.5%
Space Separator
ValueCountFrequency (%)
6667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20742
57.9%
Common 14927
41.7%
Latin 138
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1526
 
7.4%
미 1486
 
7.2%
천 1481
 
7.1%
동 1471
 
7.1%
추 1425
 
6.9%
홀 1425
 
6.9%
시 1421
 
6.9%
역 1413
 
6.8%
구 1399
 
6.7%
광 1395
 
6.7%
Other values (274) 6300
30.4%
Latin
ValueCountFrequency (%)
B 19
13.8%
S 14
 
10.1%
A 10
 
7.2%
e 10
 
7.2%
I 7
 
5.1%
E 7
 
5.1%
W 7
 
5.1%
K 7
 
5.1%
y 6
 
4.3%
V 6
 
4.3%
Other values (19) 45
32.6%
Common
ValueCountFrequency (%)
6667
44.7%
1 1755
 
11.8%
- 1164
 
7.8%
2 858
 
5.7%
6 616
 
4.1%
4 615
 
4.1%
0 609
 
4.1%
3 603
 
4.0%
5 596
 
4.0%
9 429
 
2.9%
Other values (6) 1015
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20742
57.9%
ASCII 15065
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6667
44.3%
1 1755
 
11.6%
- 1164
 
7.7%
2 858
 
5.7%
6 616
 
4.1%
4 615
 
4.1%
0 609
 
4.0%
3 603
 
4.0%
5 596
 
4.0%
9 429
 
2.8%
Other values (35) 1153
 
7.7%
Hangul
ValueCountFrequency (%)
인 1526
 
7.4%
미 1486
 
7.2%
천 1481
 
7.1%
동 1471
 
7.1%
추 1425
 
6.9%
홀 1425
 
6.9%
시 1421
 
6.9%
역 1413
 
6.8%
구 1399
 
6.7%
광 1395
 
6.7%
Other values (274) 6300
30.4%

소재지전화
Text

MISSING 

Distinct297
Distinct (%)98.0%
Missing1086
Missing (%)78.2%
Memory size11.0 KiB
2024-03-23T04:28:19.073303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.990099
Min length9

Characters and Unicode

Total characters3633
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

Unique291 ?
Unique (%)96.0%

Sample

1st row032-883-6941
2nd row032-882-2058
3rd row032-873-9858
4th row032-883-2062
5th row032-872-7649
ValueCountFrequency (%)
1544-7727 2
 
0.7%
063-445-0020 2
 
0.7%
02-3284-8116 2
 
0.7%
032-872-8111 2
 
0.7%
032-423-2343 2
 
0.7%
032-456-3043 2
 
0.7%
032-227-0220 1
 
0.3%
032-451-4800 1
 
0.3%
032-874-2020 1
 
0.3%
032-887-6595 1
 
0.3%
Other values (287) 287
94.7%
2024-03-23T04:28:20.990544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 600
16.5%
2 523
14.4%
0 486
13.4%
3 467
12.9%
8 355
9.8%
7 243
6.7%
4 239
 
6.6%
5 203
 
5.6%
1 197
 
5.4%
6 180
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3033
83.5%
Dash Punctuation 600
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 523
17.2%
0 486
16.0%
3 467
15.4%
8 355
11.7%
7 243
8.0%
4 239
7.9%
5 203
 
6.7%
1 197
 
6.5%
6 180
 
5.9%
9 140
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3633
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 600
16.5%
2 523
14.4%
0 486
13.4%
3 467
12.9%
8 355
9.8%
7 243
6.7%
4 239
 
6.6%
5 203
 
5.6%
1 197
 
5.4%
6 180
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3633
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 600
16.5%
2 523
14.4%
0 486
13.4%
3 467
12.9%
8 355
9.8%
7 243
6.7%
4 239
 
6.6%
5 203
 
5.6%
1 197
 
5.4%
6 180
 
5.0%

Interactions

2024-03-23T04:28:07.275951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-23T04:28:07.654857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:28:07.976278image/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.
2024-03-23T04:28:08.258106image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01휴게음식점정다방<NA>인천광역시 미추홀구 주안동 1329-17<NA>
12휴게음식점동심다방<NA>인천광역시 미추홀구 숭의동 421-12<NA>
23휴게음식점밀다방<NA>인천광역시 미추홀구 주안동 201<NA>
34휴게음식점삼거리다방인천광역시 미추홀구 참외전로 316 (숭의동)인천광역시 미추홀구 숭의동 129-77<NA>
45휴게음식점영다방인천광역시 미추홀구 독정이로 49 (숭의동)인천광역시 미추홀구 숭의동 285-4032-883-6941
56휴게음식점밀월다방인천광역시 미추홀구 경인로 66 (숭의동)인천광역시 미추홀구 숭의동 173-1032-882-2058
67휴게음식점봉봉다방인천광역시 미추홀구 경인로 382 (주안동)인천광역시 미추홀구 주안동 434-2<NA>
78휴게음식점뷰커피숍인천광역시 미추홀구 미추홀대로 690, 지하1층 (주안동)인천광역시 미추홀구 주안동 186-14<NA>
89휴게음식점우봉다방인천광역시 미추홀구 석바위로 40-2 (주안동)인천광역시 미추홀구 주안동 201-14<NA>
910휴게음식점지성다방인천광역시 미추홀구 석정로 377 (주안동)인천광역시 미추홀구 주안동 14-5032-873-9858
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
13791380휴게음식점리은푸드인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하층 식품행사장 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
13801381휴게음식점우지커피 인천용현자이점인천광역시 미추홀구 낙섬동로 134, 지하층 B106호 (용현동, 용현자이크레스트)인천광역시 미추홀구 용현동 0 용현자이크레스트<NA>
13811382휴게음식점행복한찹쌀호떡인천광역시 미추홀구 주안중로 24, 대지여관 1층 중간호 (주안동)인천광역시 미추홀구 주안동 86-21 대지여관<NA>
13821383휴게음식점커피나무인천광역시 미추홀구 경원대로 지하 848, 석바위지하상가 73호 (주안동)인천광역시 미추홀구 주안동 245 석바위지하상가<NA>
13831384휴게음식점리은푸드인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
13841385휴게음식점주바른인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
13851386휴게음식점씨유 e편한세상제물포역점인천광역시 미추홀구 수봉로 53, 1층 일부호 (숭의동)인천광역시 미추홀구 숭의동 22-32<NA>
13861387휴게음식점지에스25 관교삼환인천광역시 미추홀구 문화로 27, 삼환아파트 상가동 101호 일부호 (관교동)인천광역시 미추홀구 관교동 13-10 삼환아파트<NA>
13871388휴게음식점주식회사 신이안루인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
13881389휴게음식점루이커피인천광역시 미추홀구 독배로 420-1, 101호 (용현동)인천광역시 미추홀구 용현동 459-30<NA>