Overview

Dataset statistics

Number of variables6
Number of observations3659
Missing cells2127
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory175.2 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description업종(식품제조가공업, 즉석판매제조가공업, 식품첨가물제조업, 식품운반업, 식품냉동냉장업, 식품소분업, 식품 등 수입판매업, 위탁급식영업법, 식용얼음판매업, 식품자동판매기영업, 유통전문판매업, 용기포장류제조업, 기타식품 판매업, 집단급식소 식품판매업, 건강기능식품판매·유통업 등)
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/3077462/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지전화 has 2127 (58.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:25:14.574677
Analysis finished2023-12-11 23:25:15.718170
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct3659
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1830
Minimum1
Maximum3659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2023-12-12T08:25:15.784046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile183.9
Q1915.5
median1830
Q32744.5
95-th percentile3476.1
Maximum3659
Range3658
Interquartile range (IQR)1829

Descriptive statistics

Standard deviation1056.4066
Coefficient of variation (CV)0.57727139
Kurtosis-1.2
Mean1830
Median Absolute Deviation (MAD)915
Skewness0
Sum6695970
Variance1115995
MonotonicityStrictly increasing
2023-12-12T08:25:15.929539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2432 1
 
< 0.1%
2434 1
 
< 0.1%
2435 1
 
< 0.1%
2436 1
 
< 0.1%
2437 1
 
< 0.1%
2438 1
 
< 0.1%
2439 1
 
< 0.1%
2440 1
 
< 0.1%
2441 1
 
< 0.1%
Other values (3649) 3649
99.7%
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 (%)
3659 1
< 0.1%
3658 1
< 0.1%
3657 1
< 0.1%
3656 1
< 0.1%
3655 1
< 0.1%
3654 1
< 0.1%
3653 1
< 0.1%
3652 1
< 0.1%
3651 1
< 0.1%
3650 1
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
건강기능식품일반판매업
1258 
즉석판매제조가공업
802 
집단급식소
658 
식품자동판매기영업
240 
식품제조가공업
229 
Other values (11)
472 

Length

Max length13
Median length11
Mean length8.6567368
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 1258
34.4%
즉석판매제조가공업 802
21.9%
집단급식소 658
18.0%
식품자동판매기영업 240
 
6.6%
식품제조가공업 229
 
6.3%
식품소분업 134
 
3.7%
유통전문판매업 132
 
3.6%
집단급식소 식품판매업 87
 
2.4%
기타식품판매업 51
 
1.4%
건강기능식품유통전문판매업 23
 
0.6%
Other values (6) 45
 
1.2%

Length

2023-12-12T08:25:16.085138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건강기능식품일반판매업 1258
33.6%
즉석판매제조가공업 802
21.4%
집단급식소 745
19.9%
식품자동판매기영업 240
 
6.4%
식품제조가공업 229
 
6.1%
식품소분업 134
 
3.6%
유통전문판매업 132
 
3.5%
식품판매업 87
 
2.3%
기타식품판매업 51
 
1.4%
건강기능식품유통전문판매업 23
 
0.6%
Other values (6) 45
 
1.2%

업소명
Text

Distinct3007
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
2023-12-12T08:25:16.310134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length6.9926209
Min length1

Characters and Unicode

Total characters25586
Distinct characters797
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

Unique2459 ?
Unique (%)67.2%

Sample

1st row(주)넥스트메디팜
2nd row주식회사코스모코스
3rd row한독화장품(주)
4th rowCH메디팜
5th row(주)아이월드제약
ValueCountFrequency (%)
주식회사 152
 
3.7%
인셀덤 39
 
0.9%
세븐일레븐 14
 
0.3%
나우커피 9
 
0.2%
인천논현점 8
 
0.2%
어린이집 7
 
0.2%
인천점 6
 
0.1%
농업회사법인 6
 
0.1%
간석점 6
 
0.1%
주)와식자재마트 6
 
0.1%
Other values (3131) 3875
93.9%
2023-12-12T08:25:16.691978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 844
 
3.3%
이 838
 
3.3%
) 779
 
3.0%
( 777
 
3.0%
스 527
 
2.1%
인 500
 
2.0%
점 491
 
1.9%
470
 
1.8%
식 376
 
1.5%
리 355
 
1.4%
Other values (787) 19629
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22357
87.4%
Close Punctuation 779
 
3.0%
Open Punctuation 777
 
3.0%
Uppercase Letter 472
 
1.8%
Space Separator 470
 
1.8%
Decimal Number 340
 
1.3%
Lowercase Letter 339
 
1.3%
Other Punctuation 44
 
0.2%
Dash Punctuation 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 844
 
3.8%
이 838
 
3.7%
스 527
 
2.4%
인 500
 
2.2%
점 491
 
2.2%
식 376
 
1.7%
리 355
 
1.6%
사 349
 
1.6%
아 306
 
1.4%
회 291
 
1.3%
Other values (719) 17480
78.2%
Lowercase Letter
ValueCountFrequency (%)
e 56
16.5%
o 35
 
10.3%
a 33
 
9.7%
n 22
 
6.5%
r 21
 
6.2%
i 20
 
5.9%
c 16
 
4.7%
t 15
 
4.4%
h 14
 
4.1%
m 13
 
3.8%
Other values (14) 94
27.7%
Uppercase Letter
ValueCountFrequency (%)
S 48
 
10.2%
G 40
 
8.5%
C 36
 
7.6%
E 29
 
6.1%
N 29
 
6.1%
H 25
 
5.3%
A 24
 
5.1%
T 24
 
5.1%
B 24
 
5.1%
L 22
 
4.7%
Other values (13) 171
36.2%
Decimal Number
ValueCountFrequency (%)
2 131
38.5%
5 54
15.9%
4 49
 
14.4%
1 39
 
11.5%
3 24
 
7.1%
7 10
 
2.9%
0 10
 
2.9%
6 9
 
2.6%
9 8
 
2.4%
8 6
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 19
43.2%
. 12
27.3%
, 11
25.0%
' 1
 
2.3%
· 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 779
100.0%
Open Punctuation
ValueCountFrequency (%)
( 777
100.0%
Space Separator
ValueCountFrequency (%)
470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22354
87.4%
Common 2418
 
9.5%
Latin 811
 
3.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 844
 
3.8%
이 838
 
3.7%
스 527
 
2.4%
인 500
 
2.2%
점 491
 
2.2%
식 376
 
1.7%
리 355
 
1.6%
사 349
 
1.6%
아 306
 
1.4%
회 291
 
1.3%
Other values (717) 17477
78.2%
Latin
ValueCountFrequency (%)
e 56
 
6.9%
S 48
 
5.9%
G 40
 
4.9%
C 36
 
4.4%
o 35
 
4.3%
a 33
 
4.1%
E 29
 
3.6%
N 29
 
3.6%
H 25
 
3.1%
A 24
 
3.0%
Other values (37) 456
56.2%
Common
ValueCountFrequency (%)
) 779
32.2%
( 777
32.1%
470
19.4%
2 131
 
5.4%
5 54
 
2.2%
4 49
 
2.0%
1 39
 
1.6%
3 24
 
1.0%
& 19
 
0.8%
. 12
 
0.5%
Other values (11) 64
 
2.6%
Han
ValueCountFrequency (%)
魚 2
66.7%
辛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22352
87.4%
ASCII 3226
 
12.6%
CJK 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 844
 
3.8%
이 838
 
3.7%
스 527
 
2.4%
인 500
 
2.2%
점 491
 
2.2%
식 376
 
1.7%
리 355
 
1.6%
사 349
 
1.6%
아 306
 
1.4%
회 291
 
1.3%
Other values (716) 17475
78.2%
ASCII
ValueCountFrequency (%)
) 779
24.1%
( 777
24.1%
470
14.6%
2 131
 
4.1%
e 56
 
1.7%
5 54
 
1.7%
4 49
 
1.5%
S 48
 
1.5%
G 40
 
1.2%
1 39
 
1.2%
Other values (56) 783
24.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
CJK
ValueCountFrequency (%)
魚 2
66.7%
辛 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct3066
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
2023-12-12T08:25:17.227120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length56
Mean length39.295983
Min length8

Characters and Unicode

Total characters143784
Distinct characters462
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2546 ?
Unique (%)69.6%

Sample

1st row인천광역시 남동구 남동대로239번길 72-29, 2층 일부호 (논현동)
2nd row인천광역시 남동구 앵고개로 404 (고잔동)
3rd row인천광역시 남동구 은봉로 19, 연구동 3층 일부호 (논현동)
4th row인천광역시 남동구 논현로 42, 제일프라자 8층 802호 일부호 (논현동)
5th row인천광역시 남동구 함박뫼로 316 (논현동)
ValueCountFrequency (%)
인천광역시 3655
 
13.3%
남동구 3655
 
13.3%
1층 1511
 
5.5%
일부호 894
 
3.3%
구월동 864
 
3.2%
논현동 721
 
2.6%
고잔동 518
 
1.9%
만수동 466
 
1.7%
간석동 420
 
1.5%
2층 355
 
1.3%
Other values (3400) 14328
52.3%
2023-12-12T08:25:17.676130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23737
 
16.5%
동 8852
 
6.2%
1 6698
 
4.7%
구 5209
 
3.6%
남 4724
 
3.3%
, 4646
 
3.2%
인 4004
 
2.8%
로 3988
 
2.8%
( 3975
 
2.8%
) 3974
 
2.8%
Other values (452) 73977
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80951
56.3%
Decimal Number 25040
 
17.4%
Space Separator 23737
 
16.5%
Other Punctuation 4661
 
3.2%
Open Punctuation 3975
 
2.8%
Close Punctuation 3974
 
2.8%
Dash Punctuation 683
 
0.5%
Uppercase Letter 613
 
0.4%
Lowercase Letter 81
 
0.1%
Math Symbol 66
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8852
 
10.9%
구 5209
 
6.4%
남 4724
 
5.8%
인 4004
 
4.9%
로 3988
 
4.9%
시 3917
 
4.8%
천 3837
 
4.7%
역 3752
 
4.6%
광 3711
 
4.6%
호 3230
 
4.0%
Other values (394) 35727
44.1%
Uppercase Letter
ValueCountFrequency (%)
B 152
24.8%
A 122
19.9%
C 66
10.8%
L 60
 
9.8%
D 33
 
5.4%
H 23
 
3.8%
S 19
 
3.1%
P 18
 
2.9%
F 17
 
2.8%
T 15
 
2.4%
Other values (14) 88
14.4%
Decimal Number
ValueCountFrequency (%)
1 6698
26.7%
2 3353
13.4%
0 2786
11.1%
3 2573
 
10.3%
5 2029
 
8.1%
4 1969
 
7.9%
6 1604
 
6.4%
7 1504
 
6.0%
8 1382
 
5.5%
9 1142
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
s 15
18.5%
a 12
14.8%
e 12
14.8%
o 11
13.6%
n 9
11.1%
r 9
11.1%
i 9
11.1%
l 3
 
3.7%
b 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 4646
99.7%
/ 5
 
0.1%
. 4
 
0.1%
& 4
 
0.1%
· 1
 
< 0.1%
@ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 60
90.9%
< 3
 
4.5%
> 3
 
4.5%
Space Separator
ValueCountFrequency (%)
23737
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3975
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3974
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 683
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80951
56.3%
Common 62138
43.2%
Latin 695
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8852
 
10.9%
구 5209
 
6.4%
남 4724
 
5.8%
인 4004
 
4.9%
로 3988
 
4.9%
시 3917
 
4.8%
천 3837
 
4.7%
역 3752
 
4.6%
광 3711
 
4.6%
호 3230
 
4.0%
Other values (394) 35727
44.1%
Latin
ValueCountFrequency (%)
B 152
21.9%
A 122
17.6%
C 66
 
9.5%
L 60
 
8.6%
D 33
 
4.7%
H 23
 
3.3%
S 19
 
2.7%
P 18
 
2.6%
F 17
 
2.4%
T 15
 
2.2%
Other values (24) 170
24.5%
Common
ValueCountFrequency (%)
23737
38.2%
1 6698
 
10.8%
, 4646
 
7.5%
( 3975
 
6.4%
) 3974
 
6.4%
2 3353
 
5.4%
0 2786
 
4.5%
3 2573
 
4.1%
5 2029
 
3.3%
4 1969
 
3.2%
Other values (14) 6398
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80951
56.3%
ASCII 62831
43.7%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23737
37.8%
1 6698
 
10.7%
, 4646
 
7.4%
( 3975
 
6.3%
) 3974
 
6.3%
2 3353
 
5.3%
0 2786
 
4.4%
3 2573
 
4.1%
5 2029
 
3.2%
4 1969
 
3.1%
Other values (46) 7091
 
11.3%
Hangul
ValueCountFrequency (%)
동 8852
 
10.9%
구 5209
 
6.4%
남 4724
 
5.8%
인 4004
 
4.9%
로 3988
 
4.9%
시 3917
 
4.8%
천 3837
 
4.7%
역 3752
 
4.6%
광 3711
 
4.6%
호 3230
 
4.0%
Other values (394) 35727
44.1%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지(지번)
Text

Distinct3098
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size28.7 KiB
2023-12-12T08:25:17.982413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length55
Mean length31.5824
Min length7

Characters and Unicode

Total characters115560
Distinct characters470
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

Unique2594 ?
Unique (%)70.9%

Sample

1st row인천광역시 남동구 논현동 449-2 2층 일부호
2nd row인천광역시 남동구 고잔동 687-14
3rd row인천광역시 남동구 논현동 428-7
4th row인천광역시 남동구 논현동 636-1 제일프라자 802호 일부
5th row인천광역시 남동구 논현동 430-1
ValueCountFrequency (%)
인천광역시 3657
 
16.5%
남동구 3657
 
16.5%
구월동 891
 
4.0%
1층 741
 
3.3%
논현동 734
 
3.3%
고잔동 543
 
2.4%
만수동 480
 
2.2%
간석동 437
 
2.0%
일부 350
 
1.6%
1층일부 250
 
1.1%
Other values (4140) 10447
47.1%
2023-12-12T08:25:18.475292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21551
18.6%
동 8216
 
7.1%
1 7632
 
6.6%
구 4709
 
4.1%
남 3930
 
3.4%
시 3888
 
3.4%
인 3774
 
3.3%
천 3743
 
3.2%
광 3713
 
3.2%
역 3668
 
3.2%
Other values (460) 50736
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62169
53.8%
Decimal Number 26225
22.7%
Space Separator 21551
 
18.6%
Dash Punctuation 3139
 
2.7%
Other Punctuation 729
 
0.6%
Uppercase Letter 574
 
0.5%
Open Punctuation 520
 
0.4%
Close Punctuation 519
 
0.4%
Lowercase Letter 83
 
0.1%
Math Symbol 50
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8216
 
13.2%
구 4709
 
7.6%
남 3930
 
6.3%
시 3888
 
6.3%
인 3774
 
6.1%
천 3743
 
6.0%
광 3713
 
6.0%
역 3668
 
5.9%
층 2271
 
3.7%
호 2206
 
3.5%
Other values (404) 22051
35.5%
Uppercase Letter
ValueCountFrequency (%)
B 142
24.7%
A 107
18.6%
L 63
11.0%
C 59
10.3%
D 32
 
5.6%
S 20
 
3.5%
H 19
 
3.3%
T 17
 
3.0%
P 16
 
2.8%
F 15
 
2.6%
Other values (13) 84
14.6%
Decimal Number
ValueCountFrequency (%)
1 7632
29.1%
2 3018
 
11.5%
0 2826
 
10.8%
3 2452
 
9.3%
6 2443
 
9.3%
4 2106
 
8.0%
5 1729
 
6.6%
7 1597
 
6.1%
8 1318
 
5.0%
9 1104
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
s 15
18.1%
a 12
14.5%
e 12
14.5%
o 11
13.3%
n 9
10.8%
i 9
10.8%
r 9
10.8%
b 3
 
3.6%
l 3
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 709
97.3%
. 9
 
1.2%
/ 6
 
0.8%
& 3
 
0.4%
· 1
 
0.1%
@ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 48
96.0%
< 1
 
2.0%
> 1
 
2.0%
Space Separator
ValueCountFrequency (%)
21551
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 519
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62169
53.8%
Common 52733
45.6%
Latin 658
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8216
 
13.2%
구 4709
 
7.6%
남 3930
 
6.3%
시 3888
 
6.3%
인 3774
 
6.1%
천 3743
 
6.0%
광 3713
 
6.0%
역 3668
 
5.9%
층 2271
 
3.7%
호 2206
 
3.5%
Other values (404) 22051
35.5%
Latin
ValueCountFrequency (%)
B 142
21.6%
A 107
16.3%
L 63
 
9.6%
C 59
 
9.0%
D 32
 
4.9%
S 20
 
3.0%
H 19
 
2.9%
T 17
 
2.6%
P 16
 
2.4%
s 15
 
2.3%
Other values (23) 168
25.5%
Common
ValueCountFrequency (%)
21551
40.9%
1 7632
 
14.5%
- 3139
 
6.0%
2 3018
 
5.7%
0 2826
 
5.4%
3 2452
 
4.6%
6 2443
 
4.6%
4 2106
 
4.0%
5 1729
 
3.3%
7 1597
 
3.0%
Other values (13) 4240
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62169
53.8%
ASCII 53389
46.2%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21551
40.4%
1 7632
 
14.3%
- 3139
 
5.9%
2 3018
 
5.7%
0 2826
 
5.3%
3 2452
 
4.6%
6 2443
 
4.6%
4 2106
 
3.9%
5 1729
 
3.2%
7 1597
 
3.0%
Other values (44) 4896
 
9.2%
Hangul
ValueCountFrequency (%)
동 8216
 
13.2%
구 4709
 
7.6%
남 3930
 
6.3%
시 3888
 
6.3%
인 3774
 
6.1%
천 3743
 
6.0%
광 3713
 
6.0%
역 3668
 
5.9%
층 2271
 
3.7%
호 2206
 
3.5%
Other values (404) 22051
35.5%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지전화
Text

MISSING 

Distinct1209
Distinct (%)78.9%
Missing2127
Missing (%)58.1%
Memory size28.7 KiB
2023-12-12T08:25:18.757536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.070496
Min length10

Characters and Unicode

Total characters18492
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

Unique953 ?
Unique (%)62.2%

Sample

1st row032-665-7477
2nd row032-818-1004
3rd row032-811-5264
4th row032-715-8030
5th row032-815-2751
ValueCountFrequency (%)
032-473-9600 6
 
0.4%
032-428-2080 5
 
0.3%
032-815-1828 4
 
0.3%
032-461-7007 4
 
0.3%
032-467-5601 4
 
0.3%
032-465-9511 4
 
0.3%
032-472-4950 4
 
0.3%
02-3284-8129 4
 
0.3%
02-3284-8112 4
 
0.3%
032-421-4430 4
 
0.3%
Other values (1199) 1489
97.2%
2023-12-12T08:25:19.137324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3064
16.6%
0 2719
14.7%
2 2647
14.3%
3 2344
12.7%
4 1619
8.8%
1 1257
6.8%
8 1194
 
6.5%
7 1090
 
5.9%
6 998
 
5.4%
5 941
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15428
83.4%
Dash Punctuation 3064
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2719
17.6%
2 2647
17.2%
3 2344
15.2%
4 1619
10.5%
1 1257
8.1%
8 1194
7.7%
7 1090
7.1%
6 998
 
6.5%
5 941
 
6.1%
9 619
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 3064
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3064
16.6%
0 2719
14.7%
2 2647
14.3%
3 2344
12.7%
4 1619
8.8%
1 1257
6.8%
8 1194
 
6.5%
7 1090
 
5.9%
6 998
 
5.4%
5 941
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3064
16.6%
0 2719
14.7%
2 2647
14.3%
3 2344
12.7%
4 1619
8.8%
1 1257
6.8%
8 1194
 
6.5%
7 1090
 
5.9%
6 998
 
5.4%
5 941
 
5.1%

Interactions

2023-12-12T08:25:15.457576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:19.237386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.906
업종명0.9061.000
2023-12-12T08:25:19.340958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.659
업종명0.6591.000

Missing values

2023-12-12T08:25:15.576196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:25:15.675016image/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
01건강기능식품유통전문판매업(주)넥스트메디팜인천광역시 남동구 남동대로239번길 72-29, 2층 일부호 (논현동)인천광역시 남동구 논현동 449-2 2층 일부호032-665-7477
12건강기능식품유통전문판매업주식회사코스모코스인천광역시 남동구 앵고개로 404 (고잔동)인천광역시 남동구 고잔동 687-14032-818-1004
23건강기능식품유통전문판매업한독화장품(주)인천광역시 남동구 은봉로 19, 연구동 3층 일부호 (논현동)인천광역시 남동구 논현동 428-7032-811-5264
34건강기능식품유통전문판매업CH메디팜인천광역시 남동구 논현로 42, 제일프라자 8층 802호 일부호 (논현동)인천광역시 남동구 논현동 636-1 제일프라자 802호 일부032-715-8030
45건강기능식품유통전문판매업(주)아이월드제약인천광역시 남동구 함박뫼로 316 (논현동)인천광역시 남동구 논현동 430-1032-815-2751
56건강기능식품유통전문판매업스마일 맘인천광역시 남동구 예술로 138, 이토타워 13층 1308호 (구월동)인천광역시 남동구 구월동 1456 이토타워,13층 1308호<NA>
67건강기능식품유통전문판매업(주)스와디시크릿인천광역시 남동구 선수촌공원로 5, 구월테크노밸리 C동 501호 (구월동)인천광역시 남동구 구월동 1550-3 구월테크노밸리 501호<NA>
78건강기능식품유통전문판매업(주)헬스인풋인천광역시 남동구 백범로 254, 6층 (간석동)인천광역시 남동구 간석동 921-9 6층<NA>
89건강기능식품유통전문판매업(주)넥스트메디팜인천광역시 남동구 남동대로239번길 72-29, 2층 일부호 (논현동)인천광역시 남동구 논현동 449-2 2층 일부호032-665-7477
910건강기능식품유통전문판매업케이엔비앤에이치(KNB&H)인천광역시 남동구 앵고개로 928, DA PLAZA 3층 301호일부호 (논현동)인천광역시 남동구 논현동 671-1 DA PLAZA,3층301호일부호<NA>
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
36493650집단급식소 식품판매업(주)대송인천광역시 남동구 남동서로 258, A동 1층 일부호 (논현동)인천광역시 남동구 논현동 429-14 ,A동 1층 일부호<NA>
36503651집단급식소 식품판매업(주)제이케이푸드림인천광역시 남동구 매소홀로 1090, 1층 (서창동)인천광역시 남동구 서창동 550-1 1층일부070-8844-6800
36513652집단급식소 식품판매업그레이스인천광역시 남동구 수현로 20, 1층 101호 (장수동, 해오름파크102동 )인천광역시 남동구 장수동 390-2 해오름파크102동 101호032-469-1141
36523653집단급식소 식품판매업(주)상아에프에스인천광역시 남동구 찬우물로 33, 나동 1층 전부호 (수산동)인천광역시 남동구 수산동 150-4 나동 1층호032-862-0551
36533654집단급식소 식품판매업은이네인천광역시 남동구 남촌시장로 6, 남촌 농산물 도매시장 채소2동 1층 C53호 (남촌동)인천광역시 남동구 남촌동 177-1 남촌 농산물 도매시장, 채소2동-상1-7-053<NA>
36543655집단급식소 식품판매업주식회사 실버앤키즈인천광역시 남동구 남동대로837번길 23, 수경프라자 2층 202호일부호 (간석동)인천광역시 남동구 간석동 294-3 수경프라자, 2층 202호일부호032-328-1352
36553656집단급식소 식품판매업도담도담인천광역시 남동구 음실로 56, 1층 일부호 (운연동)인천광역시 남동구 운연동 288-1 1층 일부<NA>
36563657집단급식소 식품판매업아이누리 남동인천광역시 남동구 도림로12번길 27, 1층 일부호 (도림동)인천광역시 남동구 도림동 661-12 1층 일부호(101호)<NA>
36573658집단급식소 식품판매업경성유통인천광역시 남동구 구월남로260번길 20, 1층 일부(2)호 (구월동)인천광역시 남동구 구월동 1239-17 1층 일부(2호)<NA>
36583659집단급식소 식품판매업삼정푸드시스템인천광역시 남동구 덕골로 158, 가동 1층 일부호 (수산동)인천광역시 남동구 수산동 513 가동 1층 일부<NA>