Overview

Dataset statistics

Number of variables8
Number of observations676
Missing cells45
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.7 KiB
Average record size in memory66.2 B

Variable types

Numeric2
Text5
Categorical1

Dataset

Description인천광역시의 가맹사업정보에 대한 정보를 다룬 데이터입니다. 각 목록으로는 순번, 상호, 영업표지, 대표업종, 대표자, 우편번호, 본사주소, 본사전화번호 등이 있습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15125150&srcSe=7661IVAWM27C61E190

Alerts

대표업종(대분류) is highly imbalanced (62.2%)Imbalance
본사전화번호 has 45 (6.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 05:37:34.374624
Analysis finished2024-03-13 05:37:35.919061
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct676
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338.5
Minimum1
Maximum676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-03-13T14:37:36.004303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.75
Q1169.75
median338.5
Q3507.25
95-th percentile642.25
Maximum676
Range675
Interquartile range (IQR)337.5

Descriptive statistics

Standard deviation195.28868
Coefficient of variation (CV)0.57692371
Kurtosis-1.2
Mean338.5
Median Absolute Deviation (MAD)169
Skewness0
Sum228826
Variance38137.667
MonotonicityStrictly increasing
2024-03-13T14:37:36.197363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
456 1
 
0.1%
448 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
452 1
 
0.1%
453 1
 
0.1%
454 1
 
0.1%
455 1
 
0.1%
Other values (666) 666
98.5%
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 (%)
676 1
0.1%
675 1
0.1%
674 1
0.1%
673 1
0.1%
672 1
0.1%
671 1
0.1%
670 1
0.1%
669 1
0.1%
668 1
0.1%
667 1
0.1%

상호
Text

Distinct468
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-13T14:37:36.495917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length7.0946746
Min length2

Characters and Unicode

Total characters4796
Distinct characters497
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

Unique376 ?
Unique (%)55.6%

Sample

1st row(GLB)푸드
2nd row(GLB)푸드
3rd row(주)91컴퍼니
4th row(주)가람에프엔비
5th row(주)강푸드
ValueCountFrequency (%)
주)디딤 26
 
3.8%
만돈창업컨설팅 15
 
2.2%
주)다함컴퍼니 9
 
1.3%
주)지에프코리아 8
 
1.2%
서가김푸드fc 7
 
1.0%
주)트러스트 7
 
1.0%
주)이바돔 6
 
0.9%
건빵푸드 5
 
0.7%
주)엠푸드 5
 
0.7%
주)빅브라더 4
 
0.6%
Other values (460) 587
86.5%
2024-03-13T14:37:36.882235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 382
 
8.0%
) 382
 
8.0%
주 361
 
7.5%
이 154
 
3.2%
드 131
 
2.7%
푸 116
 
2.4%
스 111
 
2.3%
에 84
 
1.8%
프 82
 
1.7%
리 69
 
1.4%
Other values (487) 2924
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3744
78.1%
Open Punctuation 382
 
8.0%
Close Punctuation 382
 
8.0%
Uppercase Letter 119
 
2.5%
Lowercase Letter 80
 
1.7%
Decimal Number 44
 
0.9%
Other Symbol 21
 
0.4%
Other Punctuation 20
 
0.4%
Space Separator 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 361
 
9.6%
이 154
 
4.1%
드 131
 
3.5%
푸 116
 
3.1%
스 111
 
3.0%
에 84
 
2.2%
프 82
 
2.2%
리 69
 
1.8%
아 56
 
1.5%
비 49
 
1.3%
Other values (427) 2531
67.6%
Lowercase Letter
ValueCountFrequency (%)
o 10
12.5%
e 9
11.2%
i 8
 
10.0%
m 6
 
7.5%
n 5
 
6.2%
c 5
 
6.2%
a 5
 
6.2%
p 4
 
5.0%
l 4
 
5.0%
s 4
 
5.0%
Other values (11) 20
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 24
20.2%
C 18
15.1%
B 11
9.2%
O 7
 
5.9%
S 6
 
5.0%
N 6
 
5.0%
D 5
 
4.2%
I 5
 
4.2%
P 5
 
4.2%
K 5
 
4.2%
Other values (10) 27
22.7%
Decimal Number
ValueCountFrequency (%)
1 14
31.8%
3 6
13.6%
9 6
13.6%
2 6
13.6%
0 5
 
11.4%
8 2
 
4.5%
7 2
 
4.5%
4 1
 
2.3%
5 1
 
2.3%
6 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 12
60.0%
. 4
 
20.0%
; 3
 
15.0%
· 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 382
100.0%
Close Punctuation
ValueCountFrequency (%)
) 382
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3765
78.5%
Common 832
 
17.3%
Latin 199
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 361
 
9.6%
이 154
 
4.1%
드 131
 
3.5%
푸 116
 
3.1%
스 111
 
2.9%
에 84
 
2.2%
프 82
 
2.2%
리 69
 
1.8%
아 56
 
1.5%
비 49
 
1.3%
Other values (428) 2552
67.8%
Latin
ValueCountFrequency (%)
F 24
 
12.1%
C 18
 
9.0%
B 11
 
5.5%
o 10
 
5.0%
e 9
 
4.5%
i 8
 
4.0%
O 7
 
3.5%
m 6
 
3.0%
S 6
 
3.0%
N 6
 
3.0%
Other values (31) 94
47.2%
Common
ValueCountFrequency (%)
( 382
45.9%
) 382
45.9%
1 14
 
1.7%
& 12
 
1.4%
3 6
 
0.7%
9 6
 
0.7%
2 6
 
0.7%
0 5
 
0.6%
. 4
 
0.5%
; 3
 
0.4%
Other values (8) 12
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3744
78.1%
ASCII 1030
 
21.5%
None 22
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 382
37.1%
) 382
37.1%
F 24
 
2.3%
C 18
 
1.7%
1 14
 
1.4%
& 12
 
1.2%
B 11
 
1.1%
o 10
 
1.0%
e 9
 
0.9%
i 8
 
0.8%
Other values (48) 160
15.5%
Hangul
ValueCountFrequency (%)
주 361
 
9.6%
이 154
 
4.1%
드 131
 
3.5%
푸 116
 
3.1%
스 111
 
3.0%
에 84
 
2.2%
프 82
 
2.2%
리 69
 
1.8%
아 56
 
1.5%
비 49
 
1.3%
Other values (427) 2531
67.6%
None
ValueCountFrequency (%)
㈜ 21
95.5%
· 1
 
4.5%

영업표지
Text

Distinct675
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-13T14:37:37.186558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length6.3239645
Min length2

Characters and Unicode

Total characters4275
Distinct characters598
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique674 ?
Unique (%)99.7%

Sample

1st row삼백대패
2nd row시장불닭발
3rd row브런치빈
4th row크로플덕오리아가씨
5th row강순자옛맛김치찌개
ValueCountFrequency (%)
coffee 5
 
0.6%
카페 3
 
0.4%
감자탕 3
 
0.4%
청담동순도리 2
 
0.2%
반하다 2
 
0.2%
비바리움 2
 
0.2%
파크 2
 
0.2%
정다함 2
 
0.2%
돈가스 2
 
0.2%
오늘은 2
 
0.2%
Other values (790) 799
97.0%
2024-03-13T14:37:37.669116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
3.6%
이 101
 
2.4%
스 89
 
2.1%
리 68
 
1.6%
치 49
 
1.1%
닭 47
 
1.1%
비 46
 
1.1%
수 43
 
1.0%
마 40
 
0.9%
장 36
 
0.8%
Other values (588) 3601
84.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3613
84.5%
Uppercase Letter 241
 
5.6%
Space Separator 155
 
3.6%
Lowercase Letter 90
 
2.1%
Decimal Number 87
 
2.0%
Other Punctuation 32
 
0.7%
Close Punctuation 28
 
0.7%
Open Punctuation 28
 
0.7%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 101
 
2.8%
스 89
 
2.5%
리 68
 
1.9%
치 49
 
1.4%
닭 47
 
1.3%
비 46
 
1.3%
수 43
 
1.2%
마 40
 
1.1%
장 36
 
1.0%
라 36
 
1.0%
Other values (521) 3058
84.6%
Uppercase Letter
ValueCountFrequency (%)
E 30
12.4%
O 20
 
8.3%
A 17
 
7.1%
N 17
 
7.1%
T 16
 
6.6%
S 15
 
6.2%
R 14
 
5.8%
C 14
 
5.8%
I 13
 
5.4%
F 11
 
4.6%
Other values (14) 74
30.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
17.8%
a 11
12.2%
r 7
 
7.8%
i 7
 
7.8%
h 7
 
7.8%
c 6
 
6.7%
t 6
 
6.7%
s 4
 
4.4%
m 3
 
3.3%
o 3
 
3.3%
Other values (13) 20
22.2%
Decimal Number
ValueCountFrequency (%)
1 19
21.8%
2 14
16.1%
0 11
12.6%
9 11
12.6%
8 10
11.5%
3 10
11.5%
7 4
 
4.6%
6 4
 
4.6%
5 2
 
2.3%
4 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 20
62.5%
' 5
 
15.6%
, 3
 
9.4%
· 2
 
6.2%
. 1
 
3.1%
; 1
 
3.1%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3612
84.5%
Common 331
 
7.7%
Latin 331
 
7.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 101
 
2.8%
스 89
 
2.5%
리 68
 
1.9%
치 49
 
1.4%
닭 47
 
1.3%
비 46
 
1.3%
수 43
 
1.2%
마 40
 
1.1%
장 36
 
1.0%
라 36
 
1.0%
Other values (520) 3057
84.6%
Latin
ValueCountFrequency (%)
E 30
 
9.1%
O 20
 
6.0%
A 17
 
5.1%
N 17
 
5.1%
T 16
 
4.8%
e 16
 
4.8%
S 15
 
4.5%
R 14
 
4.2%
C 14
 
4.2%
I 13
 
3.9%
Other values (37) 159
48.0%
Common
ValueCountFrequency (%)
155
46.8%
) 28
 
8.5%
( 28
 
8.5%
& 20
 
6.0%
1 19
 
5.7%
2 14
 
4.2%
0 11
 
3.3%
9 11
 
3.3%
8 10
 
3.0%
3 10
 
3.0%
Other values (10) 25
 
7.6%
Han
ValueCountFrequency (%)
香 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3612
84.5%
ASCII 660
 
15.4%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
23.5%
E 30
 
4.5%
) 28
 
4.2%
( 28
 
4.2%
O 20
 
3.0%
& 20
 
3.0%
1 19
 
2.9%
A 17
 
2.6%
N 17
 
2.6%
T 16
 
2.4%
Other values (56) 310
47.0%
Hangul
ValueCountFrequency (%)
이 101
 
2.8%
스 89
 
2.5%
리 68
 
1.9%
치 49
 
1.4%
닭 47
 
1.3%
비 46
 
1.3%
수 43
 
1.2%
마 40
 
1.1%
장 36
 
1.0%
라 36
 
1.0%
Other values (520) 3057
84.6%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
香 1
100.0%

대표업종(대분류)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
외식
574 
서비스
71 
도소매
 
30
<NA>
 
1

Length

Max length4
Median length2
Mean length2.1523669
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
외식 574
84.9%
서비스 71
 
10.5%
도소매 30
 
4.4%
<NA> 1
 
0.1%

Length

2024-03-13T14:37:37.824456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:37.936285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식 574
84.9%
서비스 71
 
10.5%
도소매 30
 
4.4%
na 1
 
0.1%

대표자
Text

Distinct456
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-13T14:37:38.261777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.3402367
Min length2

Characters and Unicode

Total characters2258
Distinct characters197
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)52.8%

Sample

1st row강은진
2nd row강은진
3rd row장준기, 한용
4th row김가람
5th row이근수
ValueCountFrequency (%)
이정민 27
 
3.8%
유장권 15
 
2.1%
정현진 9
 
1.3%
이병위 8
 
1.1%
김종구 7
 
1.0%
김민희 7
 
1.0%
김영규 7
 
1.0%
서인환 6
 
0.8%
김훈형 6
 
0.8%
나대호 6
 
0.8%
Other values (473) 621
86.4%
2024-03-13T14:37:38.808505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 174
 
7.7%
이 130
 
5.8%
정 111
 
4.9%
민 68
 
3.0%
박 62
 
2.7%
현 55
 
2.4%
영 52
 
2.3%
진 50
 
2.2%
45
 
2.0%
희 40
 
1.8%
Other values (187) 1471
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2115
93.7%
Uppercase Letter 56
 
2.5%
Space Separator 45
 
2.0%
Other Punctuation 35
 
1.6%
Decimal Number 5
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 174
 
8.2%
이 130
 
6.1%
정 111
 
5.2%
민 68
 
3.2%
박 62
 
2.9%
현 55
 
2.6%
영 52
 
2.5%
진 50
 
2.4%
희 40
 
1.9%
성 39
 
1.8%
Other values (166) 1334
63.1%
Uppercase Letter
ValueCountFrequency (%)
N 9
16.1%
I 7
12.5%
G 7
12.5%
A 6
10.7%
J 4
7.1%
E 4
7.1%
O 3
 
5.4%
H 3
 
5.4%
X 3
 
5.4%
U 2
 
3.6%
Other values (5) 8
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2115
93.7%
Common 87
 
3.9%
Latin 56
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 174
 
8.2%
이 130
 
6.1%
정 111
 
5.2%
민 68
 
3.2%
박 62
 
2.9%
현 55
 
2.6%
영 52
 
2.5%
진 50
 
2.4%
희 40
 
1.9%
성 39
 
1.8%
Other values (166) 1334
63.1%
Latin
ValueCountFrequency (%)
N 9
16.1%
I 7
12.5%
G 7
12.5%
A 6
10.7%
J 4
7.1%
E 4
7.1%
O 3
 
5.4%
H 3
 
5.4%
X 3
 
5.4%
U 2
 
3.6%
Other values (5) 8
14.3%
Common
ValueCountFrequency (%)
45
51.7%
, 35
40.2%
1 3
 
3.4%
2 2
 
2.3%
( 1
 
1.1%
) 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2115
93.7%
ASCII 143
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 174
 
8.2%
이 130
 
6.1%
정 111
 
5.2%
민 68
 
3.2%
박 62
 
2.9%
현 55
 
2.6%
영 52
 
2.5%
진 50
 
2.4%
희 40
 
1.9%
성 39
 
1.8%
Other values (166) 1334
63.1%
ASCII
ValueCountFrequency (%)
45
31.5%
, 35
24.5%
N 9
 
6.3%
I 7
 
4.9%
G 7
 
4.9%
A 6
 
4.2%
J 4
 
2.8%
E 4
 
2.8%
O 3
 
2.1%
H 3
 
2.1%
Other values (11) 20
14.0%

우편번호
Real number (ℝ)

Distinct262
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22960.822
Minimum10083
Maximum406840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-03-13T14:37:38.978194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10083
5-th percentile21068
Q121389.75
median21688
Q322147.25
95-th percentile22822.5
Maximum406840
Range396757
Interquartile range (IQR)757.5

Descriptive statistics

Standard deviation20894.845
Coefficient of variation (CV)0.91002164
Kurtosis334.71947
Mean22960.822
Median Absolute Deviation (MAD)340.5
Skewness18.311997
Sum15521516
Variance4.3659456 × 108
MonotonicityNot monotonic
2024-03-13T14:37:39.133712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21344 28
 
4.1%
21655 27
 
4.0%
21997 19
 
2.8%
21990 18
 
2.7%
21984 15
 
2.2%
22648 12
 
1.8%
21069 11
 
1.6%
22003 10
 
1.5%
22007 10
 
1.5%
22824 10
 
1.5%
Other values (252) 516
76.3%
ValueCountFrequency (%)
10083 1
 
0.1%
21003 1
 
0.1%
21015 7
1.0%
21030 1
 
0.1%
21032 1
 
0.1%
21039 1
 
0.1%
21040 3
0.4%
21054 5
0.7%
21055 1
 
0.1%
21056 1
 
0.1%
ValueCountFrequency (%)
406840 1
0.1%
405230 1
0.1%
24704 1
0.1%
23035 1
0.1%
23031 1
0.1%
23013 2
0.3%
23011 1
0.1%
22883 1
0.1%
22874 1
0.1%
22856 1
0.1%

본사주소
Text

Distinct497
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-13T14:37:39.494818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length32.387574
Min length17

Characters and Unicode

Total characters21894
Distinct characters356
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

Unique420 ?
Unique (%)62.1%

Sample

1st row인천광역시 계양구 하느재로6번길 6 A동 104호 (계산동, 삼환빌라)
2nd row인천광역시 계양구 하느재로6번길 6 A동 104호 (계산동, 삼환빌라)
3rd row인천광역시 연수구 해돋이로151번길 4 7층 701호(송도동)
4th row인천광역시 서구 건지로250번길 53 501호
5th row인천광역시 서구 소담로58번길 21 (금곡동)
ValueCountFrequency (%)
인천광역시 672
 
16.4%
남동구 142
 
3.5%
연수구 136
 
3.3%
부평구 130
 
3.2%
서구 104
 
2.5%
1층 91
 
2.2%
계양구 74
 
1.8%
미추홀구 52
 
1.3%
2층 39
 
0.9%
송도 38
 
0.9%
Other values (1128) 2629
64.0%
2024-03-13T14:37:39.990755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3440
 
15.7%
1 1077
 
4.9%
동 774
 
3.5%
인 745
 
3.4%
천 725
 
3.3%
구 725
 
3.3%
시 699
 
3.2%
로 687
 
3.1%
광 680
 
3.1%
역 674
 
3.1%
Other values (346) 11668
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12600
57.6%
Decimal Number 4361
 
19.9%
Space Separator 3440
 
15.7%
Open Punctuation 451
 
2.1%
Close Punctuation 451
 
2.1%
Other Punctuation 288
 
1.3%
Dash Punctuation 167
 
0.8%
Uppercase Letter 127
 
0.6%
Lowercase Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 774
 
6.1%
인 745
 
5.9%
천 725
 
5.8%
구 725
 
5.8%
시 699
 
5.5%
로 687
 
5.5%
광 680
 
5.4%
역 674
 
5.3%
호 407
 
3.2%
길 332
 
2.6%
Other values (308) 6152
48.8%
Uppercase Letter
ValueCountFrequency (%)
B 36
28.3%
F 21
16.5%
C 20
15.7%
R 11
 
8.7%
A 10
 
7.9%
E 5
 
3.9%
D 5
 
3.9%
T 4
 
3.1%
I 4
 
3.1%
L 3
 
2.4%
Other values (7) 8
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 1077
24.7%
0 601
13.8%
2 595
13.6%
3 477
10.9%
4 378
 
8.7%
5 281
 
6.4%
6 277
 
6.4%
8 246
 
5.6%
9 216
 
5.0%
7 213
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 280
97.2%
. 6
 
2.1%
/ 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
c 3
60.0%
e 2
40.0%
Space Separator
ValueCountFrequency (%)
3440
100.0%
Open Punctuation
ValueCountFrequency (%)
( 451
100.0%
Close Punctuation
ValueCountFrequency (%)
) 451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12601
57.6%
Common 9161
41.8%
Latin 132
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 774
 
6.1%
인 745
 
5.9%
천 725
 
5.8%
구 725
 
5.8%
시 699
 
5.5%
로 687
 
5.5%
광 680
 
5.4%
역 674
 
5.3%
호 407
 
3.2%
길 332
 
2.6%
Other values (309) 6153
48.8%
Latin
ValueCountFrequency (%)
B 36
27.3%
F 21
15.9%
C 20
15.2%
R 11
 
8.3%
A 10
 
7.6%
E 5
 
3.8%
D 5
 
3.8%
T 4
 
3.0%
I 4
 
3.0%
L 3
 
2.3%
Other values (9) 13
 
9.8%
Common
ValueCountFrequency (%)
3440
37.6%
1 1077
 
11.8%
0 601
 
6.6%
2 595
 
6.5%
3 477
 
5.2%
( 451
 
4.9%
) 451
 
4.9%
4 378
 
4.1%
5 281
 
3.1%
, 280
 
3.1%
Other values (8) 1130
 
12.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12600
57.6%
ASCII 9293
42.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3440
37.0%
1 1077
 
11.6%
0 601
 
6.5%
2 595
 
6.4%
3 477
 
5.1%
( 451
 
4.9%
) 451
 
4.9%
4 378
 
4.1%
5 281
 
3.0%
, 280
 
3.0%
Other values (27) 1262
 
13.6%
Hangul
ValueCountFrequency (%)
동 774
 
6.1%
인 745
 
5.9%
천 725
 
5.8%
구 725
 
5.8%
시 699
 
5.5%
로 687
 
5.5%
광 680
 
5.4%
역 674
 
5.3%
호 407
 
3.2%
길 332
 
2.6%
Other values (308) 6152
48.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

본사전화번호
Text

MISSING 

Distinct430
Distinct (%)68.1%
Missing45
Missing (%)6.7%
Memory size5.4 KiB
2024-03-13T14:37:40.251309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.803487
Min length8

Characters and Unicode

Total characters6817
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

Unique348 ?
Unique (%)55.2%

Sample

1st row1577-4248
2nd row5589-2855
3rd row1577-2101
4th row1544-3360
5th row032-814-3354
ValueCountFrequency (%)
032-819-6870 26
 
4.1%
1661-8049 17
 
2.7%
1544-7161 9
 
1.4%
032-508-9592 8
 
1.3%
1800-3234 7
 
1.1%
032-525-0022 6
 
1.0%
1661-9811 6
 
1.0%
1522-2086 5
 
0.8%
02-6082-0409 5
 
0.8%
1599-2202 5
 
0.8%
Other values (420) 537
85.1%
2024-03-13T14:37:40.710657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 990
14.5%
0 868
12.7%
2 801
11.8%
1 694
10.2%
3 625
9.2%
8 541
7.9%
5 499
7.3%
6 489
7.2%
7 467
6.9%
9 434
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5827
85.5%
Dash Punctuation 990
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 868
14.9%
2 801
13.7%
1 694
11.9%
3 625
10.7%
8 541
9.3%
5 499
8.6%
6 489
8.4%
7 467
8.0%
9 434
7.4%
4 409
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 990
14.5%
0 868
12.7%
2 801
11.8%
1 694
10.2%
3 625
9.2%
8 541
7.9%
5 499
7.3%
6 489
7.2%
7 467
6.9%
9 434
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 990
14.5%
0 868
12.7%
2 801
11.8%
1 694
10.2%
3 625
9.2%
8 541
7.9%
5 499
7.3%
6 489
7.2%
7 467
6.9%
9 434
6.4%

Interactions

2024-03-13T14:37:35.389775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:35.211334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:35.501599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:35.296427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T14:37:40.897556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대표업종(대분류)우편번호
순번1.0000.0000.000
대표업종(대분류)0.0001.0000.000
우편번호0.0000.0001.000
2024-03-13T14:37:41.005954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호대표업종(대분류)
순번1.0000.0190.000
우편번호0.0191.0000.000
대표업종(대분류)0.0000.0001.000

Missing values

2024-03-13T14:37:35.716288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T14:37:35.859015image/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

순번상호영업표지대표업종(대분류)대표자우편번호본사주소본사전화번호
01(GLB)푸드삼백대패외식강은진21040인천광역시 계양구 하느재로6번길 6 A동 104호 (계산동, 삼환빌라)<NA>
12(GLB)푸드시장불닭발외식강은진21040인천광역시 계양구 하느재로6번길 6 A동 104호 (계산동, 삼환빌라)<NA>
23(주)91컴퍼니브런치빈외식장준기, 한용22003인천광역시 연수구 해돋이로151번길 4 7층 701호(송도동)1577-4248
34(주)가람에프엔비크로플덕오리아가씨외식김가람22835인천광역시 서구 건지로250번길 53 501호5589-2855
45(주)강푸드강순자옛맛김치찌개외식이근수22648인천광역시 서구 소담로58번길 21 (금곡동)1577-2101
56(주)거룩한일오삼연어로만외식신효철21688인천광역시 남동구 호구포로 50 826호(고잔동)1544-3360
67(주)고을식품형제들 감자탕외식전윤선21697인천광역시 남동구 앵고개로 448 비101(고잔동, 근로복지타운)032-814-3354
78(주)고헤어고정현헤어서비스황대건21559인천광역시 남동구 문화로 139 구월동032-507-3256
89(주)곱디곱닭푸드곱디곱닭외식김연철21927인천광역시 연수구 먼우금로 218 제 1층 제 C-112호(연수동, 푸르지오3단지)<NA>
910(주)공존컴퍼니육칠이외식이성인21396인천광역시 부평구 부평문화로106번길 42 106, 107호(부평동)<NA>
순번상호영업표지대표업종(대분류)대표자우편번호본사주소본사전화번호
666667한결프렌차이즈한결통아구찜외식한경철(HAN JINGZHE)21421인천광역시 부평구 항동로7번길 38 102호070-7379-7077
667668한국식품벤처(주)방망이닭꼬치외식조희창21603인천광역시 남동구 무네미로 28-16 (만수동)032-468-2575
668669형제&가꾸다형제소곱창외식김지선22240인천광역시 미추홀구 인하로396번길 29 102호1566-7397
669670혼을담은푸드혼삼외식김민규21544인천광역시 남동구 남동대로 936 1319호(간석동, 뉴더웰)032-429-6850
670671혼을담은푸드혼찜 혼을 담은 갈비찜외식김민규21544인천광역시 남동구 남동대로 936 1319호(간석동, 뉴더웰)032-429-6850
671672혼을담은푸드고기플렉스외식김민규21544인천광역시 남동구 남동대로 936 1319호(간석동, 뉴더웰)032-429-6850
672673홍익스테이크홍익스테이크외식김도식22737인천광역시 서구 중봉대로586번길 22 B동 1층 105호(청라동, 청라풍림 엑슬루타워)032-299-0505
673674홍초불닭발(인천점)홍초불닭발&막창외식이영재21551인천광역시 남동구 구월로131번길 36 1층 (간석동)02-1688-9285
674675화레무화레무외식김종욱21995인천광역시 연수구 신송로125번길 13 113호 (송도동, 아크리아)032-214-9295
675676후키친앤코짜글이미식회외식박상후21653인천광역시 남동구 청능대로 581 503-553호<NA>