Overview

Dataset statistics

Number of variables6
Number of observations4591
Missing cells2184
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory219.8 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 부평구 일반음식점 현황입니다.(업종명,업소명,소재지(도로명),소재지(지번),소재지전화)ex) 일반음식점,프라임마리스 부평점,인천광역시 부평구 마장로 489 (청천동 외 2필지 아이즈빌3동 2306~2310 4동 2401 2401-1~),인천광역시 부평구 청천동 386 외 2필지 아이즈빌3동 2306~2310 4동 2401 2401-1~2401-19,02-2679-5300
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3045127&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 56 (1.2%) missing valuesMissing
소재지전화 has 2128 (46.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:25:12.190348
Analysis finished2024-01-28 13:25:13.678082
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct4591
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2296
Minimum1
Maximum4591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2024-01-28T22:25:13.733527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile230.5
Q11148.5
median2296
Q33443.5
95-th percentile4361.5
Maximum4591
Range4590
Interquartile range (IQR)2295

Descriptive statistics

Standard deviation1325.4519
Coefficient of variation (CV)0.5772874
Kurtosis-1.2
Mean2296
Median Absolute Deviation (MAD)1148
Skewness0
Sum10540936
Variance1756822.7
MonotonicityStrictly increasing
2024-01-28T22:25:13.839189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3060 1
 
< 0.1%
3066 1
 
< 0.1%
3065 1
 
< 0.1%
3064 1
 
< 0.1%
3063 1
 
< 0.1%
3062 1
 
< 0.1%
3061 1
 
< 0.1%
3059 1
 
< 0.1%
3068 1
 
< 0.1%
Other values (4581) 4581
99.8%
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 (%)
4591 1
< 0.1%
4590 1
< 0.1%
4589 1
< 0.1%
4588 1
< 0.1%
4587 1
< 0.1%
4586 1
< 0.1%
4585 1
< 0.1%
4584 1
< 0.1%
4583 1
< 0.1%
4582 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
일반음식점
4591 

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 4591
100.0%

Length

2024-01-28T22:25:13.946877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:25:14.018501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4591
100.0%

업소명
Text

Distinct4317
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2024-01-28T22:25:14.203721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length6.5066434
Min length1

Characters and Unicode

Total characters29872
Distinct characters966
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4130 ?
Unique (%)90.0%

Sample

1st row토부리병천순대
2nd row육회마을(부평역점)
3rd row진주만두
4th row덕성관
5th row혜성식당
ValueCountFrequency (%)
부평점 164
 
2.9%
삼산점 33
 
0.6%
인천삼산점 28
 
0.5%
김밥천국 21
 
0.4%
부평역점 21
 
0.4%
인천부평점 19
 
0.3%
청천점 17
 
0.3%
산곡점 16
 
0.3%
부개점 14
 
0.2%
갈산점 14
 
0.2%
Other values (4566) 5273
93.8%
2024-01-28T22:25:14.564231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1029
 
3.4%
점 959
 
3.2%
부 735
 
2.5%
이 554
 
1.9%
평 544
 
1.8%
리 396
 
1.3%
치 378
 
1.3%
( 371
 
1.2%
) 371
 
1.2%
마 348
 
1.2%
Other values (956) 24187
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26317
88.1%
Space Separator 1029
 
3.4%
Lowercase Letter 659
 
2.2%
Uppercase Letter 633
 
2.1%
Open Punctuation 373
 
1.2%
Close Punctuation 373
 
1.2%
Decimal Number 371
 
1.2%
Other Punctuation 110
 
0.4%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 959
 
3.6%
부 735
 
2.8%
이 554
 
2.1%
평 544
 
2.1%
리 396
 
1.5%
치 378
 
1.4%
마 348
 
1.3%
식 333
 
1.3%
산 318
 
1.2%
천 310
 
1.2%
Other values (880) 21442
81.5%
Uppercase Letter
ValueCountFrequency (%)
A 61
 
9.6%
O 52
 
8.2%
E 50
 
7.9%
B 47
 
7.4%
C 38
 
6.0%
N 38
 
6.0%
R 32
 
5.1%
H 28
 
4.4%
T 28
 
4.4%
I 27
 
4.3%
Other values (15) 232
36.7%
Lowercase Letter
ValueCountFrequency (%)
e 106
16.1%
o 59
 
9.0%
a 54
 
8.2%
r 44
 
6.7%
n 37
 
5.6%
i 34
 
5.2%
t 33
 
5.0%
l 33
 
5.0%
h 30
 
4.6%
f 29
 
4.4%
Other values (13) 200
30.3%
Decimal Number
ValueCountFrequency (%)
1 67
18.1%
2 59
15.9%
0 52
14.0%
3 36
9.7%
9 30
8.1%
5 29
7.8%
8 26
 
7.0%
6 26
 
7.0%
7 25
 
6.7%
4 21
 
5.7%
Other Punctuation
ValueCountFrequency (%)
& 55
50.0%
. 23
20.9%
, 17
 
15.5%
' 4
 
3.6%
: 3
 
2.7%
! 2
 
1.8%
? 2
 
1.8%
· 2
 
1.8%
/ 1
 
0.9%
# 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 371
99.5%
[ 2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 371
99.5%
] 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26274
88.0%
Common 2263
 
7.6%
Latin 1292
 
4.3%
Han 39
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 959
 
3.6%
부 735
 
2.8%
이 554
 
2.1%
평 544
 
2.1%
리 396
 
1.5%
치 378
 
1.4%
마 348
 
1.3%
식 333
 
1.3%
산 318
 
1.2%
천 310
 
1.2%
Other values (845) 21399
81.4%
Latin
ValueCountFrequency (%)
e 106
 
8.2%
A 61
 
4.7%
o 59
 
4.6%
a 54
 
4.2%
O 52
 
4.0%
E 50
 
3.9%
B 47
 
3.6%
r 44
 
3.4%
C 38
 
2.9%
N 38
 
2.9%
Other values (38) 743
57.5%
Han
ValueCountFrequency (%)
家 6
 
15.4%
愛 2
 
5.1%
明 2
 
5.1%
辛 2
 
5.1%
李 1
 
2.6%
盧 1
 
2.6%
本 1
 
2.6%
首 1
 
2.6%
班 1
 
2.6%
鰻 1
 
2.6%
Other values (21) 21
53.8%
Common
ValueCountFrequency (%)
1029
45.5%
( 371
 
16.4%
) 371
 
16.4%
1 67
 
3.0%
2 59
 
2.6%
& 55
 
2.4%
0 52
 
2.3%
3 36
 
1.6%
9 30
 
1.3%
5 29
 
1.3%
Other values (18) 164
 
7.2%
Hiragana
ValueCountFrequency (%)
ん 1
25.0%
せ 1
25.0%
う 1
25.0%
ゆ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26274
88.0%
ASCII 3553
 
11.9%
CJK 38
 
0.1%
Hiragana 4
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1029
29.0%
( 371
 
10.4%
) 371
 
10.4%
e 106
 
3.0%
1 67
 
1.9%
A 61
 
1.7%
2 59
 
1.7%
o 59
 
1.7%
& 55
 
1.5%
a 54
 
1.5%
Other values (65) 1321
37.2%
Hangul
ValueCountFrequency (%)
점 959
 
3.6%
부 735
 
2.8%
이 554
 
2.1%
평 544
 
2.1%
리 396
 
1.5%
치 378
 
1.4%
마 348
 
1.3%
식 333
 
1.3%
산 318
 
1.2%
천 310
 
1.2%
Other values (845) 21399
81.4%
CJK
ValueCountFrequency (%)
家 6
 
15.8%
愛 2
 
5.3%
明 2
 
5.3%
辛 2
 
5.3%
盧 1
 
2.6%
本 1
 
2.6%
首 1
 
2.6%
班 1
 
2.6%
鰻 1
 
2.6%
和 1
 
2.6%
Other values (20) 20
52.6%
None
ValueCountFrequency (%)
· 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Hiragana
ValueCountFrequency (%)
ん 1
25.0%
せ 1
25.0%
う 1
25.0%
ゆ 1
25.0%

소재지(도로명)
Text

MISSING 

Distinct4298
Distinct (%)94.8%
Missing56
Missing (%)1.2%
Memory size36.0 KiB
2024-01-28T22:25:14.815146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length60
Mean length33.287541
Min length21

Characters and Unicode

Total characters150959
Distinct characters404
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4101 ?
Unique (%)90.4%

Sample

1st row인천광역시 부평구 경원대로1403번길 34 (부평동)
2nd row인천광역시 부평구 장제로91번길 36-1 (부평동)
3rd row인천광역시 부평구 평천로 144 (청천동)
4th row인천광역시 부평구 육동로 20-1 (부평동)
5th row인천광역시 부평구 길주남로66번길 21 (부평동)
ValueCountFrequency (%)
인천광역시 4535
 
15.3%
부평구 4535
 
15.3%
1층 1981
 
6.7%
부평동 1684
 
5.7%
일부호 726
 
2.5%
십정동 514
 
1.7%
2층 368
 
1.2%
청천동 354
 
1.2%
부개동 330
 
1.1%
갈산동 306
 
1.0%
Other values (2679) 14259
48.2%
2024-01-28T22:25:15.202462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25073
 
16.6%
부 9278
 
6.1%
1 8016
 
5.3%
평 7374
 
4.9%
천 5344
 
3.5%
동 5283
 
3.5%
인 4775
 
3.2%
시 4756
 
3.2%
( 4691
 
3.1%
) 4691
 
3.1%
Other values (394) 71678
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86024
57.0%
Space Separator 25073
 
16.6%
Decimal Number 24388
 
16.2%
Open Punctuation 4691
 
3.1%
Close Punctuation 4691
 
3.1%
Other Punctuation 4383
 
2.9%
Dash Punctuation 852
 
0.6%
Uppercase Letter 791
 
0.5%
Math Symbol 34
 
< 0.1%
Letter Number 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 9278
 
10.8%
평 7374
 
8.6%
천 5344
 
6.2%
동 5283
 
6.1%
인 4775
 
5.6%
시 4756
 
5.5%
광 4669
 
5.4%
로 4612
 
5.4%
역 4604
 
5.4%
구 4558
 
5.3%
Other values (335) 30771
35.8%
Uppercase Letter
ValueCountFrequency (%)
B 106
13.4%
E 102
12.9%
C 102
12.9%
A 76
9.6%
U 59
7.5%
T 58
7.3%
R 54
6.8%
N 52
6.6%
M 36
 
4.6%
S 22
 
2.8%
Other values (15) 124
15.7%
Decimal Number
ValueCountFrequency (%)
1 8016
32.9%
2 3367
13.8%
0 2449
 
10.0%
3 2443
 
10.0%
4 2099
 
8.6%
6 1493
 
6.1%
5 1392
 
5.7%
7 1128
 
4.6%
8 1043
 
4.3%
9 958
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
l 3
27.3%
a 2
18.2%
r 1
 
9.1%
e 1
 
9.1%
c 1
 
9.1%
i 1
 
9.1%
t 1
 
9.1%
y 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 4349
99.2%
& 13
 
0.3%
＆ 8
 
0.2%
@ 6
 
0.1%
. 5
 
0.1%
/ 1
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 32
94.1%
∥ 1
 
2.9%
+ 1
 
2.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
61.9%
Ⅰ 8
38.1%
Space Separator
ValueCountFrequency (%)
25073
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4691
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 852
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86022
57.0%
Common 64112
42.5%
Latin 823
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 9278
 
10.8%
평 7374
 
8.6%
천 5344
 
6.2%
동 5283
 
6.1%
인 4775
 
5.6%
시 4756
 
5.5%
광 4669
 
5.4%
로 4612
 
5.4%
역 4604
 
5.4%
구 4558
 
5.3%
Other values (333) 30769
35.8%
Latin
ValueCountFrequency (%)
B 106
12.9%
E 102
12.4%
C 102
12.4%
A 76
9.2%
U 59
 
7.2%
T 58
 
7.0%
R 54
 
6.6%
N 52
 
6.3%
M 36
 
4.4%
S 22
 
2.7%
Other values (25) 156
19.0%
Common
ValueCountFrequency (%)
25073
39.1%
1 8016
 
12.5%
( 4691
 
7.3%
) 4691
 
7.3%
, 4349
 
6.8%
2 3367
 
5.3%
0 2449
 
3.8%
3 2443
 
3.8%
4 2099
 
3.3%
6 1493
 
2.3%
Other values (14) 5441
 
8.5%
Han
ValueCountFrequency (%)
德 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86022
57.0%
ASCII 64904
43.0%
Number Forms 21
 
< 0.1%
None 9
 
< 0.1%
CJK 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25073
38.6%
1 8016
 
12.4%
( 4691
 
7.2%
) 4691
 
7.2%
, 4349
 
6.7%
2 3367
 
5.2%
0 2449
 
3.8%
3 2443
 
3.8%
4 2099
 
3.2%
6 1493
 
2.3%
Other values (44) 6233
 
9.6%
Hangul
ValueCountFrequency (%)
부 9278
 
10.8%
평 7374
 
8.6%
천 5344
 
6.2%
동 5283
 
6.1%
인 4775
 
5.6%
시 4756
 
5.5%
광 4669
 
5.4%
로 4612
 
5.4%
역 4604
 
5.4%
구 4558
 
5.3%
Other values (333) 30769
35.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
61.9%
Ⅰ 8
38.1%
None
ValueCountFrequency (%)
＆ 8
88.9%
· 1
 
11.1%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
CJK
ValueCountFrequency (%)
德 1
50.0%
美 1
50.0%

소재지(지번)
Text

Distinct4260
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2024-01-28T22:25:15.455212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length59
Mean length26.910695
Min length17

Characters and Unicode

Total characters123547
Distinct characters390
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3995 ?
Unique (%)87.0%

Sample

1st row인천광역시 부평구 부평동 760
2nd row인천광역시 부평구 부평동 154-12
3rd row인천광역시 부평구 부평동 235
4th row인천광역시 부평구 부평동 151-28
5th row인천광역시 부평구 청천동 6-1
ValueCountFrequency (%)
인천광역시 4591
18.3%
부평구 4591
18.3%
부평동 1945
 
7.8%
1층 1610
 
6.4%
십정동 615
 
2.5%
일부 583
 
2.3%
청천동 488
 
1.9%
삼산동 434
 
1.7%
부개동 388
 
1.5%
갈산동 345
 
1.4%
Other values (3883) 9502
37.9%
2024-01-28T22:25:15.849818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24586
19.9%
부 7901
 
6.4%
1 7834
 
6.3%
평 6713
 
5.4%
천 5149
 
4.2%
동 5009
 
4.1%
인 4682
 
3.8%
역 4655
 
3.8%
시 4655
 
3.8%
구 4617
 
3.7%
Other values (380) 47746
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65243
52.8%
Decimal Number 27630
22.4%
Space Separator 24586
 
19.9%
Dash Punctuation 4364
 
3.5%
Uppercase Letter 768
 
0.6%
Other Punctuation 562
 
0.5%
Open Punctuation 168
 
0.1%
Close Punctuation 168
 
0.1%
Math Symbol 25
 
< 0.1%
Letter Number 21
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 7901
12.1%
평 6713
10.3%
천 5149
 
7.9%
동 5009
 
7.7%
인 4682
 
7.2%
역 4655
 
7.1%
시 4655
 
7.1%
구 4617
 
7.1%
광 4615
 
7.1%
층 2233
 
3.4%
Other values (320) 15014
23.0%
Uppercase Letter
ValueCountFrequency (%)
B 102
13.3%
E 102
13.3%
C 99
12.9%
A 70
9.1%
U 58
7.6%
T 57
7.4%
R 53
6.9%
N 50
6.5%
M 34
 
4.4%
H 20
 
2.6%
Other values (15) 123
16.0%
Decimal Number
ValueCountFrequency (%)
1 7834
28.4%
2 3556
12.9%
4 2719
 
9.8%
0 2665
 
9.6%
3 2506
 
9.1%
5 2059
 
7.5%
6 1642
 
5.9%
9 1640
 
5.9%
7 1536
 
5.6%
8 1473
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
l 3
27.3%
a 2
18.2%
e 1
 
9.1%
r 1
 
9.1%
y 1
 
9.1%
t 1
 
9.1%
i 1
 
9.1%
c 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 529
94.1%
& 13
 
2.3%
＆ 8
 
1.4%
@ 6
 
1.1%
. 3
 
0.5%
/ 2
 
0.4%
· 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 23
92.0%
∥ 1
 
4.0%
+ 1
 
4.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
61.9%
Ⅰ 8
38.1%
Space Separator
ValueCountFrequency (%)
24586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 168
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65241
52.8%
Common 57504
46.5%
Latin 800
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 7901
12.1%
평 6713
10.3%
천 5149
 
7.9%
동 5009
 
7.7%
인 4682
 
7.2%
역 4655
 
7.1%
시 4655
 
7.1%
구 4617
 
7.1%
광 4615
 
7.1%
층 2233
 
3.4%
Other values (318) 15012
23.0%
Latin
ValueCountFrequency (%)
B 102
12.8%
E 102
12.8%
C 99
12.4%
A 70
8.8%
U 58
 
7.2%
T 57
 
7.1%
R 53
 
6.6%
N 50
 
6.2%
M 34
 
4.2%
H 20
 
2.5%
Other values (25) 155
19.4%
Common
ValueCountFrequency (%)
24586
42.8%
1 7834
 
13.6%
- 4364
 
7.6%
2 3556
 
6.2%
4 2719
 
4.7%
0 2665
 
4.6%
3 2506
 
4.4%
5 2059
 
3.6%
6 1642
 
2.9%
9 1640
 
2.9%
Other values (15) 3933
 
6.8%
Han
ValueCountFrequency (%)
德 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65241
52.8%
ASCII 58273
47.2%
Number Forms 21
 
< 0.1%
None 9
 
< 0.1%
CJK 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24586
42.2%
1 7834
 
13.4%
- 4364
 
7.5%
2 3556
 
6.1%
4 2719
 
4.7%
0 2665
 
4.6%
3 2506
 
4.3%
5 2059
 
3.5%
6 1642
 
2.8%
9 1640
 
2.8%
Other values (45) 4702
 
8.1%
Hangul
ValueCountFrequency (%)
부 7901
12.1%
평 6713
10.3%
천 5149
 
7.9%
동 5009
 
7.7%
인 4682
 
7.2%
역 4655
 
7.1%
시 4655
 
7.1%
구 4617
 
7.1%
광 4615
 
7.1%
층 2233
 
3.4%
Other values (318) 15012
23.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
61.9%
Ⅰ 8
38.1%
None
ValueCountFrequency (%)
＆ 8
88.9%
· 1
 
11.1%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
CJK
ValueCountFrequency (%)
德 1
50.0%
美 1
50.0%

소재지전화
Text

MISSING 

Distinct2423
Distinct (%)98.4%
Missing2128
Missing (%)46.4%
Memory size36.0 KiB
2024-01-28T22:25:16.040417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.028015
Min length9

Characters and Unicode

Total characters29625
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

Unique2383 ?
Unique (%)96.8%

Sample

1st row032-503-8870
2nd row032-513-6819
3rd row032-503-8843
4th row032-522-7058
5th row032-513-2428
ValueCountFrequency (%)
032-503-3301 2
 
0.1%
032-519-8100 2
 
0.1%
032-271-2292 2
 
0.1%
032-529-9292 2
 
0.1%
032-513-0462 2
 
0.1%
032-518-9750 2
 
0.1%
032-433-6612 2
 
0.1%
032-501-6416 2
 
0.1%
032-439-5253 2
 
0.1%
032-529-5245 2
 
0.1%
Other values (2413) 2443
99.2%
2024-01-28T22:25:16.337563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4926
16.6%
2 4700
15.9%
0 4473
15.1%
3 4001
13.5%
5 3328
11.2%
1 1763
 
6.0%
8 1459
 
4.9%
7 1328
 
4.5%
9 1264
 
4.3%
4 1252
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24699
83.4%
Dash Punctuation 4926
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4700
19.0%
0 4473
18.1%
3 4001
16.2%
5 3328
13.5%
1 1763
 
7.1%
8 1459
 
5.9%
7 1328
 
5.4%
9 1264
 
5.1%
4 1252
 
5.1%
6 1131
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 4926
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29625
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4926
16.6%
2 4700
15.9%
0 4473
15.1%
3 4001
13.5%
5 3328
11.2%
1 1763
 
6.0%
8 1459
 
4.9%
7 1328
 
4.5%
9 1264
 
4.3%
4 1252
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4926
16.6%
2 4700
15.9%
0 4473
15.1%
3 4001
13.5%
5 3328
11.2%
1 1763
 
6.0%
8 1459
 
4.9%
7 1328
 
4.5%
9 1264
 
4.3%
4 1252
 
4.2%

Interactions

2024-01-28T22:25:13.352774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T22:25:13.458186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:25:13.557429image/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.
2024-01-28T22:25:13.637827image/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
01일반음식점토부리병천순대<NA>인천광역시 부평구 부평동 760<NA>
12일반음식점육회마을(부평역점)인천광역시 부평구 경원대로1403번길 34 (부평동)인천광역시 부평구 부평동 154-12<NA>
23일반음식점진주만두<NA>인천광역시 부평구 부평동 235032-503-8870
34일반음식점덕성관인천광역시 부평구 장제로91번길 36-1 (부평동)인천광역시 부평구 부평동 151-28<NA>
45일반음식점혜성식당인천광역시 부평구 평천로 144 (청천동)인천광역시 부평구 청천동 6-1032-513-6819
56일반음식점복락원인천광역시 부평구 육동로 20-1 (부평동)인천광역시 부평구 부평동 645-46<NA>
67일반음식점동창생<NA>인천광역시 부평구 부개동 264-7032-503-8843
78일반음식점청궁인천광역시 부평구 길주남로66번길 21 (부평동)인천광역시 부평구 부평동 12-172<NA>
89일반음식점시장순대인천광역시 부평구 부흥로316번길 54, 1층 일부호 (부평동)인천광역시 부평구 부평동 360-82 1층 일부032-522-7058
910일반음식점한양궁인천광역시 부평구 마장로 287 (산곡동)인천광역시 부평구 산곡동 182032-513-2428
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
45814582일반음식점시선인천광역시 부평구 시장로30번길 8, 1층 일부 (부평동)인천광역시 부평구 부평동 153-49 1층 일부<NA>
45824583일반음식점후토루부평역점인천광역시 부평구 시장로 19, 로터스프라자 1층 일부 (부평동)인천광역시 부평구 부평동 193-18 로터스프라자 1층 일부<NA>
45834584일반음식점히토인천광역시 부평구 주부토로 236, 인천테크노밸리 U1센터 B동 1층 120호 (갈산동)인천광역시 부평구 갈산동 94 인천테크노밸리 U1센터 B동 1층 120호<NA>
45844585일반음식점광명대창집 산곡점인천광역시 부평구 원적로 295, 더루츠 스퀘어 1층 101호 (산곡동)인천광역시 부평구 산곡동 180-104 더루츠 스퀘어 1층 101호032-713-4419
45854586일반음식점고기극찬 부평점인천광역시 부평구 부평문화로 152, 1층 일부호 (부평동)인천광역시 부평구 부평동 368-1<NA>
45864587일반음식점레스트(REST)1990인천광역시 부평구 부일로9번길 5, M-TOWER 9 1층 102호 (부평동)인천광역시 부평구 부평동 508-5 M-TOWER 9<NA>
45874588일반음식점훈장골인천광역시 부평구 부평문화로 48, 2층 (부평동)인천광역시 부평구 부평동 546-69 2층<NA>
45884589일반음식점상구맥주 부평동점인천광역시 부평구 주부토로 84, 1층 102호 (부평동, 드림아파트)인천광역시 부평구 부평동 13-93 드림아파트<NA>
45894590일반음식점솔이88푸드인천광역시 부평구 원적로471번길 4, 1층 일부 (부평동)인천광역시 부평구 부평동 64-15 1층 일부<NA>
45904591일반음식점연평꽃게튀김나라식당인천광역시 부평구 주부토로32번길 8, 1층 일부 (부평동)인천광역시 부평구 부평동 372-5<NA>